Search the indicator catalog returned by wb_indicator() for a regular expression
pattern across one or more text fields. By default the match is case insensitive.
Usage
wb_search(
pattern,
fields = c("id", "name", "source_note"),
catalog = NULL,
lang = "en",
ignore.case = TRUE,
...
)Arguments
- pattern
(
character(1))
Regular expression to match.- fields
(
character())
Columns of the indicator catalog to search. Defaultc("id", "name", "source_note").- catalog
(
NULL|data.frame())
Optional pre-fetched indicator catalog. IfNULL(default),wb_indicator()is called.- lang
(
character(1))
Language to query. Only used whencatalogisNULL. Default"en".- ignore.case
(
logical(1))
Whether the match should be case insensitive. DefaultTRUE.- ...
(
any)
Additional arguments passed togrepl().
Value
A data.frame() with the matching rows of the indicator catalog.
See also
Other indicators data:
wb_bulk(),
wb_country(),
wb_data(),
wb_income_level(),
wb_indicator(),
wb_language(),
wb_lending_type(),
wb_region(),
wb_source(),
wb_topic()
Examples
# \donttest{
# search for indicators related to GDP
wb_search("GDP")
#> id
#> 689 6.0.GDP_current
#> 690 6.0.GDP_growth
#> 691 6.0.GDP_usd
#> 692 6.0.GDPpc_constant
#> 2097 BG.GSR.NFSV.GD.ZS
#> 2098 BG.KAC.FNEI.GD.PP.ZS
#> 2099 BG.KAC.FNEI.GD.ZS
#> 2100 BG.KLT.DINV.GD.PP.ZS
#> 2101 BG.KLT.DINV.GD.ZS
#> 2402 BI.WAG.TOTL.GD.ZS
#> 2425 BM.GSR.MRCH.ZS
#> 2437 BM.KLT.DINV.GD.ZS
#> 2438 BM.KLT.DINV.WD.GD.ZS
#> 2451 BN.CAB.XOKA.GD.ZS
#> 2452 BN.CAB.XOKA.GDP.ZS
#> 2455 BN.CAB.XOTR.ZS
#> 2458 BN.CUR.GDPM.ZS
#> 2464 BN.GSR.FCTY.CD.ZS
#> 2473 BN.KLT.DINV.CD.ZS
#> 2475 BN.KLT.DINV.DRS.GDP.ZS
#> 2481 BN.KLT.PRVT.GD.ZS
#> 2492 BN.TRF.CURR.CD.ZS
#> 2541 BX.GSR.MRCH.ZS
#> 2553 BX.KLT.DINV.DT.GD.ZS
#> 2555 BX.KLT.DINV.WD.GD.ZS
#> 2564 BX.TRF.MGR.DT.GD.ZS
#> 2570 BX.TRF.PWKR.DT.GD.ZS
#> 2571 BX.TRF.PWKR.GD.ZS
#> 2868 CC.ENTX.ENE.ZS
#> 2869 CC.ENTX.ENV.ZS
#> 2944 CC.GHG.MEMG.EI
#> 2945 CC.GHG.MEMG.GC
#> 2968 CC.INCP.ALRS
#> 2969 CC.INCP.KRGC
#> 2970 CC.INCP.SPMC
#> 3033 CC.RISK.AST.ZS
#> 3034 CC.RISK.WELL.ZS
#> 3043 CC.SP.EXP.ZS
#> 3136 CM.FIN.INTL.GD.ZS
#> 3139 CM.MKT.LCAP.GD.ZS
#> 3142 CM.MKT.TRAD.GD.ZS
#> 4290 DP.DOD.DECD.CR.BC.Z1
#> 4293 DP.DOD.DECD.CR.CG.Z1
#> 4296 DP.DOD.DECD.CR.FC.Z1
#> 4299 DP.DOD.DECD.CR.GG.Z1
#> 4302 DP.DOD.DECD.CR.NF.Z1
#> 4307 DP.DOD.DECF.CR.BC.Z1
#> 4310 DP.DOD.DECF.CR.CG.Z1
#> 4313 DP.DOD.DECF.CR.FC.Z1
#> 4316 DP.DOD.DECF.CR.GG.Z1
#> 4319 DP.DOD.DECF.CR.NF.Z1
#> 4324 DP.DOD.DECN.CR.BC.Z1
#> 4327 DP.DOD.DECN.CR.CG.Z1
#> 4330 DP.DOD.DECN.CR.FC.Z1
#> 4333 DP.DOD.DECN.CR.GG.Z1
#> 4336 DP.DOD.DECN.CR.NF.Z1
#> 4341 DP.DOD.DECT.CR.BC.Z1
#> 4344 DP.DOD.DECT.CR.CG.Z1
#> 4347 DP.DOD.DECT.CR.FC.Z1
#> 4350 DP.DOD.DECT.CR.GG.Z1
#> 4353 DP.DOD.DECT.CR.NF.Z1
#> 4358 DP.DOD.DECX.CR.BC.Z1
#> 4361 DP.DOD.DECX.CR.CG.Z1
#> 4364 DP.DOD.DECX.CR.FC.Z1
#> 4367 DP.DOD.DECX.CR.GG.Z1
#> 4370 DP.DOD.DECX.CR.NF.Z1
#> 4375 DP.DOD.DLCD.CR.BC.Z1
#> 4378 DP.DOD.DLCD.CR.CG.Z1
#> 4381 DP.DOD.DLCD.CR.FC.Z1
#> 4384 DP.DOD.DLCD.CR.GG.Z1
#> 4387 DP.DOD.DLCD.CR.L1.BC.Z1
#> 4390 DP.DOD.DLCD.CR.L1.CG.Z1
#> 4393 DP.DOD.DLCD.CR.L1.FC.Z1
#> 4396 DP.DOD.DLCD.CR.L1.GG.Z1
#> 4399 DP.DOD.DLCD.CR.L1.NF.Z1
#> 4404 DP.DOD.DLCD.CR.M1.BC.Z1
#> 4407 DP.DOD.DLCD.CR.M1.CG.Z1
#> 4410 DP.DOD.DLCD.CR.M1.FC.Z1
#> 4413 DP.DOD.DLCD.CR.M1.GG.Z1
#> 4416 DP.DOD.DLCD.CR.M1.NF.Z1
#> 4421 DP.DOD.DLCD.CR.NF.Z1
#> 4425 DP.DOD.DLD1.CR.CG.Z1
#> 4427 DP.DOD.DLD1.CR.GG.Z1
#> 4429 DP.DOD.DLD2.CR.CG.Z1
#> 4431 DP.DOD.DLD2.CR.GG.Z1
#> 4433 DP.DOD.DLD2A.CR.CG.Z1
#> 4435 DP.DOD.DLD2A.CR.GG.Z1
#> 4437 DP.DOD.DLD3.CR.CG.Z1
#> 4439 DP.DOD.DLD3.CR.GG.Z1
#> 4441 DP.DOD.DLD4.CR.CG.Z1
#> 4443 DP.DOD.DLD4.CR.GG.Z1
#> 4446 DP.DOD.DLDS.CR.BC.Z1
#> 4449 DP.DOD.DLDS.CR.CG.Z1
#> 4452 DP.DOD.DLDS.CR.FC.Z1
#> 4455 DP.DOD.DLDS.CR.GG.Z1
#> 4458 DP.DOD.DLDS.CR.L1.BC.Z1
#> 4461 DP.DOD.DLDS.CR.L1.CG.Z1
#> 4464 DP.DOD.DLDS.CR.L1.FC.Z1
#> 4467 DP.DOD.DLDS.CR.L1.GG.Z1
#> 4470 DP.DOD.DLDS.CR.L1.NF.Z1
#> 4475 DP.DOD.DLDS.CR.M1.BC.Z1
#> 4478 DP.DOD.DLDS.CR.M1.CG.Z1
#> 4481 DP.DOD.DLDS.CR.M1.FC.Z1
#> 4484 DP.DOD.DLDS.CR.M1.GG.Z1
#> 4487 DP.DOD.DLDS.CR.M1.NF.Z1
#> 4492 DP.DOD.DLDS.CR.MV.BC.Z1
#> 4495 DP.DOD.DLDS.CR.MV.CG.Z1
#> 4498 DP.DOD.DLDS.CR.MV.FC.Z1
#> 4501 DP.DOD.DLDS.CR.MV.GG.Z1
#> 4504 DP.DOD.DLDS.CR.MV.NF.Z1
#> 4509 DP.DOD.DLDS.CR.NF.Z1
#> 4514 DP.DOD.DLIN.CR.BC.Z1
#> 4517 DP.DOD.DLIN.CR.CG.Z1
#> 4520 DP.DOD.DLIN.CR.FC.Z1
#> 4523 DP.DOD.DLIN.CR.GG.Z1
#> 4526 DP.DOD.DLIN.CR.L1.BC.Z1
#> 4529 DP.DOD.DLIN.CR.L1.CG.Z1
#> 4532 DP.DOD.DLIN.CR.L1.FC.Z1
#> 4535 DP.DOD.DLIN.CR.L1.GG.Z1
#> 4538 DP.DOD.DLIN.CR.L1.NF.Z1
#> 4543 DP.DOD.DLIN.CR.M1.BC.Z1
#> 4546 DP.DOD.DLIN.CR.M1.CG.Z1
#> 4549 DP.DOD.DLIN.CR.M1.FC.Z1
#> 4552 DP.DOD.DLIN.CR.M1.GG.Z1
#> 4555 DP.DOD.DLIN.CR.M1.NF.Z1
#> 4560 DP.DOD.DLIN.CR.NF.Z1
#> 4565 DP.DOD.DLLO.CR.BC.Z1
#> 4568 DP.DOD.DLLO.CR.CG.Z1
#> 4571 DP.DOD.DLLO.CR.FC.Z1
#> 4574 DP.DOD.DLLO.CR.GG.Z1
#> 4577 DP.DOD.DLLO.CR.L1.BC.Z1
#> 4580 DP.DOD.DLLO.CR.L1.CG.Z1
#> 4583 DP.DOD.DLLO.CR.L1.FC.Z1
#> 4586 DP.DOD.DLLO.CR.L1.GG.Z1
#> 4589 DP.DOD.DLLO.CR.L1.NF.Z1
#> 4594 DP.DOD.DLLO.CR.M1.BC.Z1
#> 4597 DP.DOD.DLLO.CR.M1.CG.Z1
#> 4600 DP.DOD.DLLO.CR.M1.FC.Z1
#> 4603 DP.DOD.DLLO.CR.M1.GG.Z1
#> 4606 DP.DOD.DLLO.CR.M1.NF.Z1
#> 4611 DP.DOD.DLLO.CR.NF.Z1
#> 4616 DP.DOD.DLOA.CR.BC.Z1
#> 4619 DP.DOD.DLOA.CR.CG.Z1
#> 4622 DP.DOD.DLOA.CR.FC.Z1
#> 4625 DP.DOD.DLOA.CR.GG.Z1
#> 4628 DP.DOD.DLOA.CR.L1.BC.Z1
#> 4631 DP.DOD.DLOA.CR.L1.CG.Z1
#> 4634 DP.DOD.DLOA.CR.L1.FC.Z1
#> 4637 DP.DOD.DLOA.CR.L1.GG.Z1
#> 4640 DP.DOD.DLOA.CR.L1.NF.Z1
#> 4645 DP.DOD.DLOA.CR.M1.BC.Z1
#> 4648 DP.DOD.DLOA.CR.M1.CG.Z1
#> 4651 DP.DOD.DLOA.CR.M1.FC.Z1
#> 4654 DP.DOD.DLOA.CR.M1.GG.Z1
#> 4657 DP.DOD.DLOA.CR.M1.NF.Z1
#> 4662 DP.DOD.DLOA.CR.NF.Z1
#> 4667 DP.DOD.DLSD.CR.BC.Z1
#> 4670 DP.DOD.DLSD.CR.CG.Z1
#> 4673 DP.DOD.DLSD.CR.FC.Z1
#> 4676 DP.DOD.DLSD.CR.GG.Z1
#> 4679 DP.DOD.DLSD.CR.M1.BC.Z1
#> 4682 DP.DOD.DLSD.CR.M1.CG.Z1
#> 4685 DP.DOD.DLSD.CR.M1.FC.Z1
#> 4688 DP.DOD.DLSD.CR.M1.GG.Z1
#> 4691 DP.DOD.DLSD.CR.M1.NF.Z1
#> 4696 DP.DOD.DLSD.CR.NF.Z1
#> 4701 DP.DOD.DLTC.CR.BC.Z1
#> 4704 DP.DOD.DLTC.CR.CG.Z1
#> 4707 DP.DOD.DLTC.CR.FC.Z1
#> 4710 DP.DOD.DLTC.CR.GG.Z1
#> 4713 DP.DOD.DLTC.CR.L1.BC.Z1
#> 4716 DP.DOD.DLTC.CR.L1.CG.Z1
#> 4719 DP.DOD.DLTC.CR.L1.FC.Z1
#> 4722 DP.DOD.DLTC.CR.L1.GG.Z1
#> 4725 DP.DOD.DLTC.CR.L1.NF.Z1
#> 4730 DP.DOD.DLTC.CR.M1.BC.Z1
#> 4733 DP.DOD.DLTC.CR.M1.CG.Z1
#> 4736 DP.DOD.DLTC.CR.M1.FC.Z1
#> 4739 DP.DOD.DLTC.CR.M1.GG.Z1
#> 4742 DP.DOD.DLTC.CR.M1.NF.Z1
#> 4747 DP.DOD.DLTC.CR.NF.Z1
#> 4753 DP.DOD.DSCD.CR.BC.Z1
#> 4756 DP.DOD.DSCD.CR.CG.Z1
#> 4759 DP.DOD.DSCD.CR.FC.Z1
#> 4762 DP.DOD.DSCD.CR.GG.Z1
#> 4765 DP.DOD.DSCD.CR.NF.Z1
#> 4770 DP.DOD.DSDS.CR.BC.Z1
#> 4773 DP.DOD.DSDS.CR.CG.Z1
#> 4776 DP.DOD.DSDS.CR.FC.Z1
#> 4779 DP.DOD.DSDS.CR.GG.Z1
#> 4782 DP.DOD.DSDS.CR.NF.Z1
#> 4787 DP.DOD.DSIN.CR.BC.Z1
#> 4790 DP.DOD.DSIN.CR.CG.Z1
#> 4793 DP.DOD.DSIN.CR.FC.Z1
#> 4796 DP.DOD.DSIN.CR.GG.Z1
#> 4799 DP.DOD.DSIN.CR.NF.Z1
#> 4804 DP.DOD.DSLO.CR.BC.Z1
#> 4807 DP.DOD.DSLO.CR.CG.Z1
#> 4810 DP.DOD.DSLO.CR.FC.Z1
#> 4813 DP.DOD.DSLO.CR.GG.Z1
#> 4816 DP.DOD.DSLO.CR.NF.Z1
#> 4821 DP.DOD.DSOA.CR.BC.Z1
#> 4824 DP.DOD.DSOA.CR.CG.Z1
#> 4827 DP.DOD.DSOA.CR.FC.Z1
#> 4830 DP.DOD.DSOA.CR.GG.Z1
#> 4833 DP.DOD.DSOA.CR.NF.Z1
#> 4838 DP.DOD.DSTC.CR.BC.Z1
#> 4841 DP.DOD.DSTC.CR.CG.Z1
#> 4844 DP.DOD.DSTC.CR.FC.Z1
#> 4847 DP.DOD.DSTC.CR.GG.Z1
#> 4850 DP.DOD.DSTC.CR.NF.Z1
#> 5346 DT.DOD.ALLC.ZSG
#> 5349 DT.DOD.ALLN.ZSG
#> 5350 DT.DOD.ALLN.ZSX
#> 5504 DT.DOD.DECT.CD.ZSG
#> 7123 DT.ODA.ALLD.GD.ZS
#> 7194 DT.ODA.DACD.ZSG
#> 7199 DT.ODA.MULT.ZSG
#> 7207 DT.ODA.NDAC.ZSG
#> 7213 DT.ODA.ODAT.GD.ZS
#> 7363 DT.TDS.DECT.GD.ZS
#> 7760 EF.EFM.OVRL.XD
#> 7763 EF.EFM.UNIV.XD
#> 7767 EG.EGY.PRIM.PP.KD
#> 7791 EG.GDP.PUSE.KO.87
#> 7792 EG.GDP.PUSE.KO.KD
#> 7793 EG.GDP.PUSE.KO.PP
#> 7794 EG.GDP.PUSE.KO.PP.KD
#> 7802 EG.USE.COMM.GD.PP.KD
#> 7921 EN.ATM.CO2E.GDP
#> 7925 EN.ATM.CO2E.KD.87.GD
#> 7926 EN.ATM.CO2E.KD.GD
#> 7931 EN.ATM.CO2E.PP.GD
#> 7932 EN.ATM.CO2E.PP.GD.KD
#> 8017 EN.GHG.CO2.RT.GDP.KD
#> 8018 EN.GHG.CO2.RT.GDP.PP.KD
#> 8101 ER.GDP.FWTL.M3.KD
#> 8119 EU.EGY.USES.GDP
#> 8173 FB.DPT.INSU.PC.ZS
#> 8526 FD.AST.PRVT.GD.ZS
#> 8635 FI.RES.TOTL.CD.ZS
#> 10994 FM.AST.GOVT.CN.ZS
#> 11003 FM.AST.PRVT.GD.ZS
#> 11012 FM.LBL.BMNY.GD.ZS
#> 11019 FM.LBL.MQMY.GD.ZS
#> 11020 FM.LBL.MQMY.GDP.ZS
#> 11022 FM.LBL.MQMY.XD
#> 11027 FM.LBL.QMNY.GDP.ZS
#> 11028 FM.LBL.SEIG.GDP.ZS
#> 11084 FR.INR.DPST.DP
#> 11093 FR.INR.RINR
#> 11098 FS.AST.CGOV.GD.ZS
#> 11099 FS.AST.DOMO.GD.ZS
#> 11100 FS.AST.DOMS.GD.ZS
#> 11101 FS.AST.DTOT.ZS
#> 11103 FS.AST.PRVT.GD.ZS
#> 11104 FS.AST.PRVT.GDP.ZS
#> 11105 FS.LBL.LIQU.GD.ZS
#> 11106 FS.LBL.LIQU.GDP.ZS
#> 11107 FS.LBL.QLIQ.GD.ZS
#> 11170 GB.BAL.OVRL.GD.ZS
#> 11171 GB.BAL.OVRL.GDP.ZS
#> 11180 GB.DOD.TOTL.GD.ZS
#> 11181 GB.DOD.TOTL.GDP.ZS
#> 11185 GB.FIN.ABRD.GD.ZS
#> 11186 GB.FIN.ABRD.GDP.ZS
#> 11190 GB.FIN.DOMS.GD.ZS
#> 11191 GB.FIN.DOMS.GDP.ZS
#> 11201 GB.REV.CTOT.GD.ZS
#> 11204 GB.REV.TOTL.GDP.ZS
#> 11206 GB.REV.XAGT.CN.ZS
#> 11209 GB.RVC.TOTL.GD.ZS
#> 11211 GB.SOE.DECT.ZS
#> 11213 GB.SOE.ECON.GD.ZS
#> 11214 GB.SOE.ECON.GDP.ZS
#> 11217 GB.SOE.NFLW.GD.ZS
#> 11218 GB.SOE.NFLW.GDP.ZS
#> 11219 GB.SOE.OVRL.GD.ZS
#> 11220 GB.SOE.OVRL.GDP.ZS
#> 11245 GB.TAX.TOTL.GD.ZS
#> 11246 GB.TAX.TOTL.GDP.ZS
#> 11264 GB.XPD.DEFN.GDP.ZS
#> 11267 GB.XPD.RSDV.GD.ZS
#> 11270 GB.XPD.TOTL.GD.ZS
#> 11271 GB.XPD.TOTL.GDP.ZS
#> 11278 GC.AST.TOTL.GD.ZS
#> 11281 GC.BAL.CASH.GD.ZS
#> 11286 GC.DOD.TOTL.GD.ZS
#> 11290 GC.FIN.DOMS.GD.ZS
#> 11292 GC.FIN.FRGN.GD.ZS
#> 11294 GC.LBL.TOTL.GD.ZS
#> 11296 GC.NFN.TOTL.GD.ZS
#> 11298 GC.NLD.TOTL.GD.ZS
#> 11309 GC.REV.XGRT.GD.ZS
#> 11324 GC.TAX.TOTL.GD.ZS
#> 11341 GC.XPN.TOTL.GD.ZS
#> 11584 GFDD.DI.01
#> 11585 GFDD.DI.02
#> 11586 GFDD.DI.03
#> 11588 GFDD.DI.05
#> 11589 GFDD.DI.06
#> 11590 GFDD.DI.07
#> 11591 GFDD.DI.08
#> 11592 GFDD.DI.09
#> 11593 GFDD.DI.10
#> 11594 GFDD.DI.11
#> 11595 GFDD.DI.12
#> 11596 GFDD.DI.13
#> 11597 GFDD.DI.14
#> 11598 GFDD.DM.01
#> 11599 GFDD.DM.02
#> 11600 GFDD.DM.03
#> 11601 GFDD.DM.04
#> 11602 GFDD.DM.05
#> 11603 GFDD.DM.06
#> 11604 GFDD.DM.07
#> 11605 GFDD.DM.08
#> 11606 GFDD.DM.09
#> 11607 GFDD.DM.10
#> 11608 GFDD.DM.11
#> 11609 GFDD.DM.12
#> 11610 GFDD.DM.13
#> 11613 GFDD.DM.16
#> 11621 GFDD.EI.08
#> 11626 GFDD.OI.02
#> 11629 GFDD.OI.08
#> 11630 GFDD.OI.09
#> 11634 GFDD.OI.13
#> 11635 GFDD.OI.14
#> 11639 GFDD.OI.17
#> 11640 GFDD.OI.18
#> 11641 GFDD.OI.19
#> 12921 IC.FRM.PROD.GROW.PEFT3
#> 12935 IC.FRM.SLS.GROW.PEFT1
#> 13104 IE.ICT.TOTL.GD.ZS
#> 13171 IN.EC.GSDP.PERCAP.NOM.INR
#> 13172 IN.EC.GSDP.PERCAP.NOM.USD
#> 13173 IN.EC.GSDP.PERCAP.REAL.INR
#> 13174 IN.EC.GSDP.PERCAP.REAL.INR.GRWTHRAT
#> 13175 IN.EC.GSDP.PERCAP.REAL.USD
#> 13176 IN.EC.GSDP.PERCAP.REAL.USD.GRWTHRAT
#> 13453 IS.RRS.GOOD.KM.PP.ZS
#> 13455 IS.RRS.PASG.K2.PP.ZS
#> 13563 IT.TEL.REVN.GD.ZS
#> 15571 MO.INDEX.ECON.XQ
#> 15595 MS.MIL.XPND.GD.ZS
#> 15600 NA.GDP.ACC.FB.SNA08.CR
#> 15601 NA.GDP.ACC.FB.SNA08.KR
#> 15602 NA.GDP.AGR.CR
#> 15603 NA.GDP.AGR.KR
#> 15604 NA.GDP.AGR.SNA08.CR
#> 15605 NA.GDP.AGR.SNA08.KR
#> 15606 NA.GDP.BUSS.SNA08.CR
#> 15607 NA.GDP.BUSS.SNA08.KR
#> 15608 NA.GDP.CNST.CR
#> 15609 NA.GDP.CNST.KR
#> 15610 NA.GDP.CNST.SNA08.CR
#> 15611 NA.GDP.CNST.SNA08.KR
#> 15612 NA.GDP.EDUS.SNA08.CR
#> 15613 NA.GDP.EDUS.SNA08.KR
#> 15614 NA.GDP.ELEC.GAS.SNA08.CR
#> 15615 NA.GDP.ELEC.GAS.SNA08.KR
#> 15616 NA.GDP.EXC.OG.CR
#> 15617 NA.GDP.EXC.OG.KR
#> 15618 NA.GDP.FINS.CR
#> 15619 NA.GDP.FINS.KR
#> 15620 NA.GDP.FINS.SNA08.CR
#> 15621 NA.GDP.FINS.SNA08.KR
#> 15622 NA.GDP.HLTH.SOCW.SNA08.CR
#> 15623 NA.GDP.HLTH.SOCW.SNA08.KR
#> 15624 NA.GDP.INC.OG.CR
#> 15625 NA.GDP.INC.OG.KR
#> 15626 NA.GDP.INC.OG.SNA08.CR
#> 15627 NA.GDP.INC.OG.SNA08.KR
#> 15628 NA.GDP.INF.COMM.SNA08.CR
#> 15629 NA.GDP.INF.COMM.SNA08.KR
#> 15630 NA.GDP.MINQ.CR
#> 15631 NA.GDP.MINQ.KR
#> 15632 NA.GDP.MINQ.SNA08.CR
#> 15633 NA.GDP.MINQ.SNA08.KR
#> 15634 NA.GDP.MNF.CR
#> 15635 NA.GDP.MNF.KR
#> 15636 NA.GDP.MNF.SNA08.CR
#> 15637 NA.GDP.MNF.SNA08.KR
#> 15638 NA.GDP.PADM.DEF.SNA08.CR
#> 15639 NA.GDP.PADM.DEF.SNA08.KR
#> 15640 NA.GDP.REST.SNA08.CR
#> 15641 NA.GDP.REST.SNA08.KR
#> 15642 NA.GDP.SRV.OTHR.CR
#> 15643 NA.GDP.SRV.OTHR.KR
#> 15644 NA.GDP.SRV.OTHR.SNA08.CR
#> 15645 NA.GDP.SRV.OTHR.SNA08.KR
#> 15646 NA.GDP.TRAN.COMM.CR
#> 15647 NA.GDP.TRAN.COMM.KR
#> 15648 NA.GDP.TRAN.STOR.SNA08.CR
#> 15649 NA.GDP.TRAN.STOR.SNA08.KR
#> 15650 NA.GDP.TRD.HTL.CR
#> 15651 NA.GDP.TRD.HTL.KR
#> 15652 NA.GDP.TRD.SNA08.CR
#> 15653 NA.GDP.TRD.SNA08.KR
#> 15654 NA.GDP.UTL.CR
#> 15655 NA.GDP.UTL.KR
#> 15656 NA.GDP.WTR.WST.SNA08.CR
#> 15657 NA.GDP.WTR.WST.SNA08.KR
#> 15666 NE.CON.GOVT.ZS
#> 15668 NE.CON.PCAP.PP.CD
#> 15669 NE.CON.PCAP.PP.KD
#> 15679 NE.CON.PETC.ZS
#> 15694 NE.CON.PRVT.PP.CD
#> 15695 NE.CON.PRVT.PP.KD
#> 15696 NE.CON.PRVT.ZS
#> 15706 NE.CON.TETC.ZS
#> 15714 NE.CON.TOTL.ZG
#> 15715 NE.CON.TOTL.ZS
#> 15725 NE.DAB.TOTL.ZS
#> 15737 NE.EXP.GNFS.ZS
#> 15739 NE.GDI.CON.GOVT.CR
#> 15740 NE.GDI.CON.GOVT.SNA08.CR
#> 15741 NE.GDI.CON.NPI.CR
#> 15742 NE.GDI.CON.NPI.SNA08.CR
#> 15743 NE.GDI.CON.PRVT.CR
#> 15744 NE.GDI.CON.PRVT.SNA08.CR
#> 15745 NE.GDI.EXPT.CR
#> 15746 NE.GDI.EXPT.SNA08.CR
#> 15771 NE.GDI.FPRV.ZS
#> 15776 NE.GDI.FPUB.ZS
#> 15779 NE.GDI.FTOT.CR
#> 15786 NE.GDI.FTOT.SNA08.CR
#> 15787 NE.GDI.FTOT.ZS
#> 15788 NE.GDI.IMPT.CR
#> 15789 NE.GDI.IMPT.SNA08.CR
#> 15790 NE.GDI.INEX.SNA08.CR
#> 15795 NE.GDI.STKB.CR
#> 15799 NE.GDI.STKB.SNA08.CR
#> 15808 NE.GDI.TOTL.CR
#> 15815 NE.GDI.TOTL.SNA08.CR
#> 15816 NE.GDI.TOTL.ZG
#> 15817 NE.GDI.TOTL.ZS
#> 15827 NE.IMP.GNFS.ZS
#> 15828 NE.MRCH.GDP.ZS
#> 15834 NE.RSB.GNFS.ZG
#> 15835 NE.RSB.GNFS.ZS
#> 15838 NE.TRD.GNFS.ZS
#> 15902 NP.AGR.TOTL.ZG
#> 15906 NP.IND.TOTL.ZG
#> 15912 NP.SRV.TOTL.ZG
#> 15920 NV.AGR.PCAP.KD.ZG
#> 15930 NV.AGR.TOTL.ZG
#> 15931 NV.AGR.TOTL.ZS
#> 15951 NV.IND.MANF.ZS
#> 15965 NV.IND.TOTL.ZG
#> 15966 NV.IND.TOTL.ZS
#> 15984 NV.SRV.DISC.CD
#> 15985 NV.SRV.DISC.CN
#> 15986 NV.SRV.DISC.KN
#> 16003 NV.SRV.TETC.ZG
#> 16004 NV.SRV.TETC.ZS
#> 16010 NV.SRV.TOTL.ZS
#> 16021 NW.HCA.FEMA.PC
#> 16023 NW.HCA.FEMA.TO
#> 16025 NW.HCA.MALE.PC
#> 16027 NW.HCA.MALE.TO
#> 16029 NW.HCA.PC
#> 16031 NW.HCA.TO
#> 16033 NW.NCA.AGRI.PC
#> 16035 NW.NCA.AGRI.TO
#> 16039 NW.NCA.FISH.PC
#> 16041 NW.NCA.FISH.TO
#> 16055 NW.NCA.FTIM.PC
#> 16057 NW.NCA.FTIM.TO
#> 16063 NW.NCA.MANG.PC
#> 16065 NW.NCA.MANG.TO
#> 16083 NW.NCA.MINR.PC
#> 16085 NW.NCA.MINR.TO
#> 16125 NW.NCA.SACO.PC
#> 16127 NW.NCA.SACO.TO
#> 16129 NW.NCA.SAGA.PC
#> 16131 NW.NCA.SAGA.TO
#> 16133 NW.NCA.SAOI.PC
#> 16135 NW.NCA.SAOI.TO
#> 16137 NW.NCA.SSOI.PC
#> 16139 NW.NCA.SSOI.TO
#> 16145 NW.NFA.PC
#> 16147 NW.NFA.TO
#> 16153 NW.PCA.PC
#> 16156 NW.PCA.TO
#> 16159 NW.TOW.PC
#> 16161 NW.TOW.TO
#> 16193 NY.AGR.SUBS.GD.ZS
#> 16197 NY.GDP.COAL.RT.ZS
#> 16198 NY.GDP.DEFL.87.ZG
#> 16199 NY.GDP.DEFL.KD.ZG
#> 16200 NY.GDP.DEFL.KD.ZG.AD
#> 16201 NY.GDP.DEFL.ZS
#> 16202 NY.GDP.DEFL.ZS.87
#> 16203 NY.GDP.DEFL.ZS.AD
#> 16204 NY.GDP.DISC.CD
#> 16205 NY.GDP.DISC.CN
#> 16206 NY.GDP.DISC.KN
#> 16207 NY.GDP.FCST.CD
#> 16208 NY.GDP.FCST.CN
#> 16209 NY.GDP.FCST.KD
#> 16210 NY.GDP.FCST.KD.87
#> 16211 NY.GDP.FCST.KN
#> 16212 NY.GDP.FCST.KN.87
#> 16213 NY.GDP.FRST.RT.ZS
#> 16214 NY.GDP.MINR.RT.ZS
#> 16215 NY.GDP.MKTP.CD
#> 16216 NY.GDP.MKTP.CD.XD
#> 16217 NY.GDP.MKTP.CN
#> 16218 NY.GDP.MKTP.CN.AD
#> 16219 NY.GDP.MKTP.CN.XD
#> 16220 NY.GDP.MKTP.IN
#> 16221 NY.GDP.MKTP.KD
#> 16222 NY.GDP.MKTP.KD.87
#> 16223 NY.GDP.MKTP.KD.ZG
#> 16224 NY.GDP.MKTP.KN
#> 16225 NY.GDP.MKTP.KN.87
#> 16226 NY.GDP.MKTP.KN.87.ZG
#> 16227 NY.GDP.MKTP.PP.CD
#> 16228 NY.GDP.MKTP.PP.KD
#> 16229 NY.GDP.MKTP.PP.KD.87
#> 16230 NY.GDP.MKTP.XD
#> 16231 NY.GDP.MKTP.XU.E
#> 16232 NY.GDP.MKTP.ZG
#> 16233 NY.GDP.NGAS.RT.ZS
#> 16234 NY.GDP.PCAP.CD
#> 16235 NY.GDP.PCAP.CN
#> 16236 NY.GDP.PCAP.KD
#> 16237 NY.GDP.PCAP.KD.ZG
#> 16238 NY.GDP.PCAP.KN
#> 16239 NY.GDP.PCAP.PP.CD
#> 16240 NY.GDP.PCAP.PP.KD
#> 16241 NY.GDP.PCAP.PP.KD.87
#> 16242 NY.GDP.PCAP.PP.KD.ZG
#> 16243 NY.GDP.PETR.RT.ZS
#> 16244 NY.GDP.TOTL.RT.ZS
#> 16251 NY.GDS.TOTL.CD
#> 16252 NY.GDS.TOTL.CN
#> 16253 NY.GDS.TOTL.KD
#> 16255 NY.GDS.TOTL.KN
#> 16257 NY.GDS.TOTL.ZS
#> 16258 NY.GDY.TOTL.KD
#> 16260 NY.GDY.TOTL.KN
#> 16262 NY.GEN.AEDU.GD.ZS
#> 16263 NY.GEN.DCO2.GD.ZS
#> 16264 NY.GEN.DFOR.GD.ZS
#> 16265 NY.GEN.DKAP.GD.ZS
#> 16266 NY.GEN.DMIN.GD.ZS
#> 16267 NY.GEN.DNGY.GD.ZS
#> 16268 NY.GEN.NDOM.GD.ZS
#> 16269 NY.GEN.SVNG.GD.ZS
#> 16281 NY.GNP.MKTP.PP.CD
#> 16282 NY.GNP.MKTP.PP.KD
#> 16292 NY.GNP.PCAP.PP.CD
#> 16293 NY.GNP.PCAP.PP.KD
#> 16302 NY.GNS.ICTR.ZS
#> 16340 NYGDPMKTPKDZ
#> 16341 NYGDPMKTPSACD
#> 16342 NYGDPMKTPSACN
#> 16343 NYGDPMKTPSAKD
#> 16344 NYGDPMKTPSAKN
#> 16420 PA.NUS.GDP.PLI
#> 16421 PA.NUS.PPP
#> 16422 PA.NUS.PPP.05
#> 16423 PA.NUS.PPPC.RF
#> 16425 PA.NUS.PRVT.PP
#> 16484 PER.ALL.CNTRL.GDP
#> 16492 PER.ALL.CPL.GDP
#> 16517 PER.ALL.PS.GDP
#> 16539 PER.ALL.RCT.GDP
#> 16548 PER.ALL.SAL.GDP
#> 16557 PER.ALL.SUB.GDP
#> 16562 PER.ALL.TSAL.GDP
#> 16564 PER.ALL.TTL.GDP
#> 16565 PER.ALL.TTL.GDP.GOV
#> 16578 PER.BAS.GDP
#> 16594 PER.BAS.PS.GDP
#> 16613 PER.BAS.SAL.GDP
#> 16624 PER.EFF.GDP
#> 16625 PER.EFF.SUB.GDP
#> 16627 PER.EFF.TEACH.GDP
#> 16661 PER.JR.PS.GDP
#> 16678 PER.JR.SAL.GDP
#> 16694 PER.OC.FEED.GDP
#> 16775 PER.OC.TRA.GDP
#> 16799 PER.PP.GDP
#> 16804 PER.PP.PS.GDP
#> 16854 PER.PRM.GDP
#> 16871 PER.PRM.PS.GDP
#> 16893 PER.PRM.RCT.GDP
#> 16897 PER.PRM.SAL.GDP
#> 16949 PER.SEC.GDP
#> 16965 PER.SEC.PS.GDP
#> 16988 PER.SEC.RCT.GDP
#> 16992 PER.SEC.SAL.GDP
#> 17060 PER.SOR.GOV.GDP
#> 17120 PER.SOR.ITL.GDP
#> 17141 PER.SOR.PVT.GDP
#> 17142 PER.SOR.PVT.GDP.PP
#> 17143 PER.SOR.PVT.GDP.PRM
#> 17144 PER.SOR.PVT.GDP.SEC
#> 17145 PER.SOR.PVT.GDP.TER
#> 17200 PER.SR.PS.GDP
#> 17217 PER.SR.SAL.GDP
#> 17249 PER.TER.GDP
#> 17257 PER.TER.PS.GDP
#> 17277 PER.TER.RCT.GDP
#> 17281 PER.TER.SAL.GDP
#> 17304 PER.TT.PS.GDP
#> 17319 PER.VOC.GDP
#> 17324 PER.VOC.PS.GDP
#> 21520 REV.DAU.CR
#> 24343 SE.PRM.BFIN.6
#> 24716 SE.PRM.SATT.2
#> 24780 SE.PRM.TATT.1
#> 25007 SE.XPD.EDUC.ZS
#> 25012 SE.XPD.PRIM.GDP.ZS
#> 25013 SE.XPD.PRIM.PC.ZS
#> 25016 SE.XPD.SECO.GDP.ZS
#> 25017 SE.XPD.SECO.PC.ZS
#> 25021 SE.XPD.TERT.GDP.ZS
#> 25022 SE.XPD.TERT.PC.ZS
#> 25025 SE.XPD.TOTL.GD.ZS
#> 25045 SF.TRN.RAIL.KM.ZS
#> 25939 SH.STA.MMRT
#> 26083 SH.XPD.CHEX.GD.ZS
#> 26092 SH.XPD.GHED.GD.ZS
#> 26096 SH.XPD.HLTH.ZS
#> 26097 SH.XPD.KHEX.GD.ZS
#> 26109 SH.XPD.PRIV.ZS
#> 26112 SH.XPD.PUBL.ZS
#> 26118 SH.XPD.TOTL.ZS
#> 26292 SL.GDP.PCAP.EM.KD
#> 26293 SL.GDP.PCAP.EM.KD.ZG
#> 26294 SL.GDP.PCAP.EM.XD
#> 27036 SPI.D5.2.3.CNIN
#> 27038 SPI.D5.2.5.HOUS
#> 27043 SPI.D5.5.DIFI
#> 27078 TG.VAL.TOTL.GD.PP.ZS
#> 27079 TG.VAL.TOTL.GD.ZS
#> 27080 TG.VAL.TOTL.GG.ZS
#> 29287 UIS.X.PPPCONST.02.FSGOV
#> 29288 UIS.X.PPPCONST.1.FSGOV
#> 29289 UIS.X.PPPCONST.2.FSGOV
#> 29290 UIS.X.PPPCONST.2T3.FSGOV
#> 29291 UIS.X.PPPCONST.2T4.V.FSGOV
#> 29292 UIS.X.PPPCONST.3.FSGOV
#> 29293 UIS.X.PPPCONST.4.FSGOV
#> 29294 UIS.X.PPPCONST.5T8.FSGOV
#> 29295 UIS.X.PPPCONST.FSGOV
#> 29296 UIS.X.PPPCONST.UK.FSGOV
#> 29307 UIS.X.USCONST.02.FSGOV
#> 29308 UIS.X.USCONST.1.FSGOV
#> 29309 UIS.X.USCONST.2.FSGOV
#> 29310 UIS.X.USCONST.2T3.FSGOV
#> 29311 UIS.X.USCONST.2T4.V.FSGOV
#> 29312 UIS.X.USCONST.3.FSGOV
#> 29313 UIS.X.USCONST.4.FSGOV
#> 29314 UIS.X.USCONST.5T8.FSGOV
#> 29315 UIS.X.USCONST.FSGOV
#> 29316 UIS.X.USCONST.UK.FSGOV
#> 29317 UIS.XGDP.0.FSGOV
#> 29318 UIS.XGDP.1.FSGOV
#> 29319 UIS.XGDP.2.FSGOV
#> 29320 UIS.XGDP.23.FSGOV
#> 29321 UIS.XGDP.2T4.V.FSGOV
#> 29322 UIS.XGDP.3.FSGOV
#> 29323 UIS.XGDP.4.FSGOV
#> 29324 UIS.XGDP.56.FSGOV
#> 29374 UIS.XUNIT.GDPCAP.02.FSGOV
#> 29375 UIS.XUNIT.GDPCAP.1.FSGOV
#> 29376 UIS.XUNIT.GDPCAP.1.FSHH
#> 29377 UIS.XUNIT.GDPCAP.2.FSGOV
#> 29378 UIS.XUNIT.GDPCAP.23.FSGOV
#> 29379 UIS.XUNIT.GDPCAP.23.FSHH
#> 29380 UIS.XUNIT.GDPCAP.3.FSGOV
#> 29381 UIS.XUNIT.GDPCAP.5T8.FSGOV
#> 29382 UIS.XUNIT.GDPCAP.5T8.FSHH
#> name
#> 689 GDP (current $)
#> 690 GDP growth (annual %)
#> 691 GDP (constant 2005 $)
#> 692 GDP per capita, PPP (constant 2011 international $)
#> 2097 Trade in services (% of GDP)
#> 2098 Gross private capital flows (% of GDP, PPP)
#> 2099 Gross private capital flows (% of GDP)
#> 2100 Gross foreign direct investment (% of GDP, PPP)
#> 2101 Gross foreign direct investment (% of GDP)
#> 2402 Wage bill as a percentage of GDP
#> 2425 Merchandise imports (BOP): percentage of GDP (%)
#> 2437 Foreign direct investment, net outflows (% of GDP)
#> 2438 Foreign direct investment, net outflows (% of GDP)
#> 2451 Current account balance (% of GDP)
#> 2452 Current account balance (% of GDP)
#> 2455 Curr. acc. bal. before official transf. (% of GDP)
#> 2458 Current account balance excluding net official capital grants (% of GDP)
#> 2464 Net income (% of GDP)
#> 2473 Foreign direct investment (% of GDP)
#> 2475 Foreign direct investment, net inflows (% of GDP)
#> 2481 Private capital flows, total (% of GDP)
#> 2492 Net current transfers (% of GDP)
#> 2541 Merchandise exports (BOP): percentage of GDP (%)
#> 2553 Foreign direct investment, net inflows (% of GDP)
#> 2555 Foreign direct investment, net inflows (% of GDP)
#> 2564 Migrant remittance inflows (% of GDP)
#> 2570 Personal remittances, received (% of GDP)
#> 2571 Workers' remittances, receipts (% of GDP)
#> 2868 Total energy tax revenue (% of GDP)
#> 2869 Total environmental tax revenue (% of GDP)
#> 2944 Macro drivers of GHG emissions growth in the period 2012-2018 - Emission Intensity of GDP
#> 2945 Macro drivers of GHG emissions growth in the period 2012-2018 - GDP per capita
#> 2968 Annual investment needs for coastal protection, by risk strategy (% of GDP) - low risk tolerance
#> 2969 Annual investment needs for coastal protection, by risk strategy (% of GDP) - constant relative flood risk
#> 2970 Annual investment needs for coastal protection, by risk strategy (% of GDP) - optimal protection
#> 3033 Risk to asset (average annual losses as % of GDP)
#> 3034 Risk to wellbeing (average annual losses as % of GDP)
#> 3043 Public social protection expenditure (%of GDP)
#> 3136 Financing via international capital markets (gross inflows, % of GDP)
#> 3139 Market capitalization of listed domestic companies (% of GDP)
#> 3142 Stocks traded, total value (% of GDP)
#> 4290 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4293 Gross PSD, Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4296 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4299 Gross PSD, General Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4302 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4307 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4310 Gross PSD, Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4313 Gross PSD, Financial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4316 Gross PSD, General Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4319 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4324 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4327 Gross PSD, Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4330 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4333 Gross PSD, General Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4336 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4341 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4344 Gross PSD, Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4347 Gross PSD, Financial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 4350 Gross PSD, General Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4353 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 4358 Gross PSD, Budgetary Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4361 Gross PSD, Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4364 Gross PSD, Financial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4367 Gross PSD, General Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4370 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4375 Gross PSD, Budgetary Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4378 Gross PSD, Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4381 Gross PSD, Financial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4384 Gross PSD, General Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4387 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4390 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4393 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4396 Gross PSD, General Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4399 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4404 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4407 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4410 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4413 Gross PSD, General Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4416 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4421 Gross PSD, Nonfinancial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4425 Gross PSD, Central Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 4427 Gross PSD, General Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 4429 Gross PSD, Central Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 4431 Gross PSD, General Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 4433 Gross PSD, Central Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 4435 Gross PSD, General Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 4437 Gross PSD, Central Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 4439 Gross PSD, General Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 4441 Gross PSD, Central Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 4443 Gross PSD, General Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 4446 Gross PSD, Budgetary Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4449 Gross PSD, Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4452 Gross PSD, Financial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 4455 Gross PSD, General Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4458 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4461 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4464 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4467 Gross PSD, General Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4470 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4475 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4478 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4481 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4484 Gross PSD, General Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4487 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4492 Gross PSD, Budgetary Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4495 Gross PSD, Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4498 Gross PSD, Financial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 4501 Gross PSD, General Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4504 Gross PSD, Nonfinancial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 4509 Gross PSD, Nonfinancial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 4514 Gross PSD, Budgetary Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4517 Gross PSD, Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4520 Gross PSD, Financial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4523 Gross PSD, General Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4526 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4529 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4532 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4535 Gross PSD, General Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4538 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4543 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4546 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4549 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4552 Gross PSD, General Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4555 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4560 Gross PSD, Nonfinancial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4565 Gross PSD, Budgetary Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4568 Gross PSD, Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4571 Gross PSD, Financial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 4574 Gross PSD, General Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4577 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4580 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4583 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4586 Gross PSD, General Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4589 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4594 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4597 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4600 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4603 Gross PSD, General Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4606 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4611 Gross PSD, Nonfinancial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 4616 Gross PSD, Budgetary Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4619 Gross PSD, Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4622 Gross PSD, Financial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4625 Gross PSD, General Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4628 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4631 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4634 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4637 Gross PSD, General Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4640 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4645 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4648 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4651 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4654 Gross PSD, General Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4657 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4662 Gross PSD, Nonfinancial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4667 Gross PSD, Budgetary Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4670 Gross PSD, Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4673 Gross PSD, Financial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4676 Gross PSD, General Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4679 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4682 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4685 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4688 Gross PSD, General Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4691 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4696 Gross PSD, Nonfinancial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4701 Gross PSD, Budgetary Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4704 Gross PSD, Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4707 Gross PSD, Financial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 4710 Gross PSD, General Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4713 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4716 Gross PSD, Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4719 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4722 Gross PSD, General Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4725 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4730 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4733 Gross PSD, Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4736 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4739 Gross PSD, General Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4742 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4747 Gross PSD, Nonfinancial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 4753 Gross PSD, Budgetary Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4756 Gross PSD, Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4759 Gross PSD, Financial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4762 Gross PSD, General Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4765 Gross PSD, Nonfinancial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4770 Gross PSD, Budgetary Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4773 Gross PSD, Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4776 Gross PSD, Financial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 4779 Gross PSD, General Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4782 Gross PSD, Nonfinancial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 4787 Gross PSD, Budgetary Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4790 Gross PSD, Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4793 Gross PSD, Financial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4796 Gross PSD, General Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4799 Gross PSD, Nonfinancial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4804 Gross PSD, Budgetary Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4807 Gross PSD, Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4810 Gross PSD, Financial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 4813 Gross PSD, General Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4816 Gross PSD, Nonfinancial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 4821 Gross PSD, Budgetary Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4824 Gross PSD, Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4827 Gross PSD, Financial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4830 Gross PSD, General Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4833 Gross PSD, Nonfinancial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4838 Gross PSD, Budgetary Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4841 Gross PSD, Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4844 Gross PSD, Financial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 4847 Gross PSD, General Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4850 Gross PSD, Nonfinancial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 5346 Debt on Concessional terms to GDP (% of GDP)
#> 5349 Debt on Non-concessional terms to GDP (% of GDP)
#> 5350 Debt on Non-concessional terms to export ratio (% of exports)
#> 5504 Debt outstanding and disbursed, Total to GDP (% of GDP)
#> 7123 Net ODA received (% of GDP)
#> 7194 Net ODA received from DAC donors (% of recipient's GDP)
#> 7199 Net ODA received from multilateral donors (% of GDP)
#> 7207 Net ODA received from non-DAC bilateral donors (% of GDP)
#> 7213 Net ODA received (% of GDP)
#> 7363 Total debt service (% of GDP)
#> 7760 Economic Fitness Metric
#> 7763 Universal Economic Fitness Metric
#> 7767 Energy intensity level of primary energy (MJ/$2021 PPP GDP)
#> 7791 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 7792 GDP per unit of energy use (2000 US$ per kg of oil equivalent)
#> 7793 GDP per unit of energy use (PPP $ per kg of oil equivalent)
#> 7794 GDP per unit of energy use (constant 2021 PPP $ per kg of oil equivalent)
#> 7802 Energy use (kg of oil equivalent) per $1,000 GDP (constant 2021 PPP)
#> 7921 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 7925 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 7926 CO2 emissions (kg per 2010 US$ of GDP)
#> 7931 CO2 emissions (kg per PPP $ of GDP)
#> 7932 CO2 emissions (kg per 2011 PPP $ of GDP)
#> 8017 Carbon intensity of GDP (kg CO2e per constant 2015 US$ of GDP)
#> 8018 Carbon intensity of GDP (kg CO2e per 2021 PPP $ of GDP)
#> 8101 Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)
#> 8119 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 8173 Deposit insurance coverage (% of GDP per capita)
#> 8526 Domestic credit to private sector by banks (% of GDP)
#> 8635 Total reserves includes gold (% of GDP)
#> 10994 Claims on governments and other public entities (% of GDP)
#> 11003 Monetary Sector credit to private sector (% GDP)
#> 11012 Broad money (% of GDP)
#> 11019 Money and quasi money (M2) as % of GDP
#> 11020 Money and quasi money (M2) as % of GDP
#> 11022 Income velocity of money (GDP/M2)
#> 11027 Quasi-liquid liabilities (% of GDP)
#> 11028 Seignorage (% of GDP)
#> 11084 Real deposit interest rate (%)
#> 11093 Real interest rate (%)
#> 11098 Claims on central government, etc. (% GDP)
#> 11099 Claims on other sectors of the domestic economy (% of GDP)
#> 11100 Domestic credit provided by financial sector (% of GDP)
#> 11101 Domestic credit provided by banking sector (% of GDP)
#> 11103 Domestic credit to private sector (% of GDP)
#> 11104 Credit to private sector (% of GDP)
#> 11105 Liquid liabilities (M3) as % of GDP
#> 11106 Liquid liabilities (M3) as % of GDP
#> 11107 Quasi-liquid liabilities (% of GDP)
#> 11170 Overall budget balance, including grants (% of GDP)
#> 11171 Overall budget deficit, including grants (% of GDP)
#> 11180 Central government debt, total (% of GDP)
#> 11181 Central government debt, total (% of GDP)
#> 11185 Financing from abroad (% of GDP)
#> 11186 Financing from abroad (% of GDP)
#> 11190 Domestic financing, total (% of GDP)
#> 11191 Domestic finanacing (% of GDP)
#> 11201 Current revenue, excluding grants (% of GDP)
#> 11204 Current revenue (% of GDP)
#> 11206 Central government revenues, excluding all grants (% of GDP)
#> 11209 Current revenue, excluding grants (% of GDP)
#> 11211 SOE external debt (% of GDP)
#> 11213 State-owned enterprises, economic activity (% of GDP)
#> 11214 SOE economic activity (% of GDP)
#> 11217 State-owned enterprises, net financial flows from government (% of GDP)
#> 11218 SOE net financial flows from government (% of GDP)
#> 11219 State-owned enterprises, overall balance before transfers (% of GDP)
#> 11220 SOE overall balance before transfers (% of total)
#> 11245 Tax revenue (% of GDP)
#> 11246 Tax revenue (% of GDP)
#> 11264 Defense expenditure (% of GDP)
#> 11267 Research and development expenditure (% of GDP)
#> 11270 Expenditure, total (% of GDP)
#> 11271 Total expenditure (% of GDP)
#> 11278 Net acquisition of financial assets (% of GDP)
#> 11281 Cash surplus/deficit (% of GDP)
#> 11286 Central government debt, total (% of GDP)
#> 11290 Net incurrence of liabilities, domestic (% of GDP)
#> 11292 Net incurrence of liabilities, foreign (% of GDP)
#> 11294 Net incurrence of liabilities, total (% of GDP)
#> 11296 Net investment in nonfinancial assets (% of GDP)
#> 11298 Net lending (+) / net borrowing (-) (% of GDP)
#> 11309 Revenue, excluding grants (% of GDP)
#> 11324 Tax revenue (% of GDP)
#> 11341 Expense (% of GDP)
#> 11584 Private credit by deposit money banks to GDP (%)
#> 11585 Deposit money banks'' assets to GDP (%)
#> 11586 Nonbank financial institutions’ assets to GDP (%)
#> 11588 Liquid liabilities to GDP (%)
#> 11589 Central bank assets to GDP (%)
#> 11590 Mutual fund assets to GDP (%)
#> 11591 Financial system deposits to GDP (%)
#> 11592 Life insurance premium volume to GDP (%)
#> 11593 Non-life insurance premium volume to GDP (%)
#> 11594 Insurance company assets to GDP (%)
#> 11595 Private credit by deposit money banks and other financial institutions to GDP (%)
#> 11596 Pension fund assets to GDP (%)
#> 11597 Domestic credit to private sector (% of GDP)
#> 11598 Stock market capitalization to GDP (%)
#> 11599 Stock market total value traded to GDP (%)
#> 11600 Outstanding domestic private debt securities to GDP (%)
#> 11601 Outstanding domestic public debt securities to GDP (%)
#> 11602 Outstanding international private debt securities to GDP (%)
#> 11603 Outstanding international public debt securities to GDP (%)
#> 11604 International debt issues to GDP (%)
#> 11605 Gross portfolio equity liabilities to GDP (%)
#> 11606 Gross portfolio equity assets to GDP (%)
#> 11607 Gross portfolio debt liabilities to GDP (%)
#> 11608 Gross portfolio debt assets to GDP (%)
#> 11609 Syndicated loan issuance volume to GDP (%)
#> 11610 Corporate bond issuance volume to GDP (%)
#> 11613 Credit flows by fintech and bigtech companies to GDP (%)
#> 11621 Credit to government and state-owned enterprises to GDP (%)
#> 11626 Bank deposits to GDP (%)
#> 11629 Loans from nonresident banks (net) to GDP (%)
#> 11630 Loans from nonresident banks (amounts outstanding) to GDP (%)
#> 11634 Remittance inflows to GDP (%)
#> 11635 Consolidated foreign claims of BIS reporting banks to GDP (%)
#> 11639 Global leasing volume to GDP (%)
#> 11640 Total factoring volume to GDP (%)
#> 11641 Banking crisis dummy (1=banking crisis, 0=none)
#> 12921 Real annual labor productivity growth (%)
#> 12935 Real annual sales growth (%)
#> 13104 Information and communication technology expenditure (% of GDP)
#> 13171 Nominal GSDP Per Capita (INR)
#> 13172 Nominal GSDP Per Capita (USD)
#> 13173 Real GSDP Per Capita (INR)
#> 13174 Real GSDP Per Capita (INR) Growth Rate
#> 13175 Real GSDP Per Capita (USD)
#> 13176 Real GSDP Per Capita (USD) Growth Rate
#> 13453 Railways, goods transported (ton-km per PPP $ million of GDP)
#> 13455 Railways, passenger-km (per PPP $ million of GDP)
#> 13563 Telecommunications revenue (% GDP)
#> 15571 Sustainable Economic Opportunity
#> 15595 Military expenditure (% of GDP)
#> 15600 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15601 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15602 GDP on Agriculture Sector (in IDR Million), Current Price
#> 15603 GDP on Agriculture Sector (in IDR Million), Constant Price
#> 15604 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Current Price
#> 15605 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Constant Price
#> 15606 GDP on Business Services Sector (in IDR Million), SNA 2008, Current Price
#> 15607 GDP on Business Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15608 GDP on Construction Sector (in IDR Million), Current Price
#> 15609 GDP on Construction Sector (in IDR Million), Constant Price
#> 15610 GDP on Construction Sector (in IDR Million), SNA 2008, Current Price
#> 15611 GDP on Construction Sector (in IDR Million), SNA 2008, Constant Price
#> 15612 GDP on Education Services Sector (in IDR Million), SNA 2008, Current Price
#> 15613 GDP on Education Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15614 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Current Price
#> 15615 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Constant Price
#> 15616 Total GDP excluding Oil and Gas (in IDR Million), Current Price
#> 15617 Total GDP excluding Oil and Gas (in IDR Million), Constant Price
#> 15618 GDP on Financial Service Sector (in IDR Million), Current Price
#> 15619 GDP on Financial Service Sector (in IDR Million), Constant Price
#> 15620 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15621 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15622 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15623 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15624 Total GDP including Oil and Gas (in IDR Million), Current Price
#> 15625 Total GDP including Oil and Gas (in IDR Million), Constant Price
#> 15626 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Current Price
#> 15627 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Constant Price
#> 15628 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Current Price
#> 15629 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Constant Price
#> 15630 GDP on Mining and Quarrying Sector (in IDR Million), Current Price
#> 15631 GDP on Mining and Quarrying Sector (in IDR Million), Constant Price
#> 15632 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Current Price
#> 15633 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Constant Price
#> 15634 GDP on Manufacturing Sector (in IDR Million), Current Price
#> 15635 GDP on Manufacturing Sector (in IDR Million), Constant Price
#> 15636 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Current Price
#> 15637 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Constant Price
#> 15638 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Current Price
#> 15639 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Constant Price
#> 15640 GDP on Real Estate Sector (in IDR Million), SNA 2008, Current Price
#> 15641 GDP on Real Estate Sector (in IDR Million), SNA 2008, Constant Price
#> 15642 GDP on Other Service Sector (in IDR Million), Current Price
#> 15643 GDP on Other Service Sector (in IDR Million), Constant Price
#> 15644 GDP on Other Services Sector (in IDR Million), SNA 2008, Current Price
#> 15645 GDP on Other Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15646 GDP on Transportation and Telecommunication Sector (in IDR Million), Current Price
#> 15647 GDP on Transportation and Telecommunication Sector (in IDR Million), Constant Price
#> 15648 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Current Price
#> 15649 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Constant Price
#> 15650 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Current Price
#> 15651 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Constant Price
#> 15652 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Current Price
#> 15653 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Constant Price
#> 15654 GDP on Utilities Sector (in IDR Million), Current Price
#> 15655 GDP on Utilities Sector (in IDR Million), Constant Price
#> 15656 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Current Price
#> 15657 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Constant Price
#> 15666 General government final consumption expenditure (% of GDP)
#> 15668 Households and NPISHs Final consumption expenditure per capita, PPP (current international $)
#> 15669 Households and NPISHs Final consumption expenditure per capita, PPP (constant 2021 international $)
#> 15679 Household final consumption expenditure, etc. (% of GDP)
#> 15694 Households and NPISHs Final consumption expenditure, PPP (current international $)
#> 15695 Households and NPISHs Final consumption expenditure, PPP (constant 2021 international $)
#> 15696 Households and NPISHs final consumption expenditure (% of GDP)
#> 15706 Final consumption expenditure, etc. (% of GDP)
#> 15714 Total consumption: contribution to growth of GDP (%)
#> 15715 Final consumption expenditure (% of GDP)
#> 15725 Gross national expenditure (% of GDP)
#> 15737 Exports of goods and services (% of GDP)
#> 15739 GDP expenditure on general government consumption (in IDR Million)
#> 15740 GDP expenditure on general government consumption (in IDR Million), SNA 2008, Current Price
#> 15741 GDP expenditure on non profit private institution consumption (in IDR Million)
#> 15742 GDP expenditure on non profit private institution consumption (in IDR Million), SNA 2008, Current Price
#> 15743 GDP expenditure on private consumption (in IDR Million)
#> 15744 GDP expenditure on private consumption (in IDR Million), SNA 2008, Current Price
#> 15745 GDP expenditure on exports (in IDR Million)
#> 15746 GDP expenditure on exports (in IDR Million), SNA 2008, Current Price
#> 15771 Gross fixed capital formation, private sector (% of GDP)
#> 15776 Gross public investment (% of GDP)
#> 15779 GDP expenditure on gross fixed capital formation (in IDR Million)
#> 15786 GDP expenditure on gross fixed capital formation (in IDR Million), SNA 2008, Current Price
#> 15787 Gross fixed capital formation (% of GDP)
#> 15788 GDP expenditure on imports (in IDR Million)
#> 15789 GDP expenditure on imports (in IDR Million), SNA 2008, Current Price
#> 15790 GDP expenditure on inter-region net exports (in IDR Million), SNA 2008, Current Price
#> 15795 GDP expenditure on changes in stock (in IDR Million)
#> 15799 GDP expenditure on changes in stock (in IDR Million), SNA 2008, Current Price
#> 15808 Total GDP based on expenditure (in IDR Million)
#> 15815 Total GDP based on expenditure (in IDR Million), SNA 2008, Current Price
#> 15816 Gross domestic investment: contr. to growth of GDP(%)
#> 15817 Gross capital formation (% of GDP)
#> 15827 Imports of goods and services (% of GDP)
#> 15828 Merchandise trade to GDP ratio (%)
#> 15834 Resource balance: contribution to growth of GDP (%)
#> 15835 External balance on goods and services (% of GDP)
#> 15838 Trade (% of GDP)
#> 15902 Agriculture: contribution to growth of GDP (%)
#> 15906 Industry: contribution to growth of GDP (%)
#> 15912 Services: contribution to growth of GDP (%)
#> 15920 Real agricultural GDP per capita growth rate (%)
#> 15930 Real agricultural GDP growth rates (%)
#> 15931 Agriculture, forestry, and fishing, value added (% of GDP)
#> 15951 Manufacturing, value added (% of GDP)
#> 15965 Industry: contribution to growth of GDP (%)
#> 15966 Industry (including construction), value added (% of GDP)
#> 15984 Discrepancy in GDP, value added (current US$)
#> 15985 Discrepancy in GDP, value added (current LCU)
#> 15986 Discrepancy in GDP, value added (constant LCU)
#> 16003 Services: contribution to growth of GDP (%)
#> 16004 Services, etc., value added (% of GDP)
#> 16010 Services, value added (% of GDP)
#> 16021 Human capital per capita, female (real chained 2019 US$)
#> 16023 Human capital, female (real chained 2019 US$)
#> 16025 Human capital per capita, male (real chained 2019 US$)
#> 16027 Human capital, male (real chained 2019 US$)
#> 16029 Human capital per capita (real chained 2019 US$)
#> 16031 Human capital (real chained 2019 US$)
#> 16033 Renewable natural capital per capita, agricultural land (real chained 2019 US$)
#> 16035 Renewable natural capital, agricultural land (real chained 2019 US$)
#> 16039 Renewable natural capital per capita, fisheries (real chained 2019 US$)
#> 16041 Renewable natural capital, fisheries (real chained 2019 US$)
#> 16055 Renewable natural capital per capita, timber (real chained 2019 US$)
#> 16057 Renewable natural capital, timber (real chained 2019 US$)
#> 16063 Renewable natural capital per capita, mangroves (real chained 2019 US$)
#> 16065 Renewable natural capital, mangroves (real chained 2019 US$)
#> 16083 Nonrenewable natural capital per capita, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16085 Nonrenewable natural capital, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16125 Nonrenewable natural capital per capita, coal (real chained 2019 US$)
#> 16127 Nonrenewable natural capital, coal (real chained 2019 US$)
#> 16129 Nonrenewable natural capital per capita, natural gas (real chained 2019 US$)
#> 16131 Nonrenewable natural capital, natural gas (real chained 2019 US$)
#> 16133 Nonrenewable natural capital per capita, oil (real chained 2019 US$)
#> 16135 Nonrenewable natural capital, oil (real chained 2019 US$)
#> 16137 Nonrenewable natural capital per capita, total (real chained 2019 US$)
#> 16139 Nonrenewable natural capital, total (real chained 2019 US$)
#> 16145 Foreign assets per capita (real chained 2019 US$)
#> 16147 Foreign assets (real chained 2019 US$)
#> 16153 Produced capital per capita (real chained 2019 US$)
#> 16156 Produced capital (real chained 2019 US$)
#> 16159 National comprehensive wealth per capita index (real chained 2019 US$)
#> 16161 National comprehensive wealth index (real chained 2019 US$)
#> 16193 Agricultural support estimate (% of GDP)
#> 16197 Coal rents (% of GDP)
#> 16198 Inflation, GDP deflator (annual %)
#> 16199 Inflation, GDP deflator (annual %)
#> 16200 Inflation, GDP deflator: linked series (annual %)
#> 16201 GDP deflator (base year varies by country)
#> 16202 GDP deflator (1987 = 100)
#> 16203 GDP deflator: linked series (base year varies by country)
#> 16204 Discrepancy in expenditure estimate of GDP (current US$)
#> 16205 Discrepancy in expenditure estimate of GDP (current LCU)
#> 16206 Discrepancy in expenditure estimate of GDP (constant LCU)
#> 16207 Gross value added at basic prices (GVA) (current US$)
#> 16208 Gross value added at basic prices (GVA) (current LCU)
#> 16209 Gross value added at basic prices (GVA) (constant 2015 US$)
#> 16210 GDP at factor cost (constant 1987 US$)
#> 16211 Gross value added at basic prices (GVA) (constant LCU)
#> 16212 GDP at factor cost (constant 1987 LCU)
#> 16213 Forest rents (% of GDP)
#> 16214 Mineral rents (% of GDP)
#> 16215 GDP (current US$)
#> 16216 GDP deflator, index (2000=100; US$ series)
#> 16217 GDP (current LCU)
#> 16218 GDP: linked series (current LCU)
#> 16219 GDP deflator, period average (LCU index 2000=100)
#> 16220 GDP Deflator
#> 16221 GDP (constant 2015 US$)
#> 16222 GDP at market prices (constant 1987 US$)
#> 16223 GDP growth (annual %)
#> 16224 GDP (constant LCU)
#> 16225 GDP at market prices (constant 1987 LCU)
#> 16226 GDP growth (annual %)
#> 16227 GDP, PPP (current international $)
#> 16228 GDP, PPP (constant 2021 international $)
#> 16229 GDP, PPP (constant 1987 international $)
#> 16230 GDP deflator (1987=100,Index)
#> 16231 GDP deflator, end period (base year varies by country)
#> 16232 Gross domestic product (Av. annual growth, %)
#> 16233 Natural gas rents (% of GDP)
#> 16234 GDP per capita (current US$)
#> 16235 GDP per capita (current LCU)
#> 16236 GDP per capita (constant 2015 US$)
#> 16237 GDP per capita growth (annual %)
#> 16238 GDP per capita (constant LCU)
#> 16239 GDP per capita, PPP (current international $)
#> 16240 GDP per capita, PPP (constant 2021 international $)
#> 16241 GDP per capita, PPP (constant 1987 international $)
#> 16242 GDP per capita, PPP annual growth (%)
#> 16243 Oil rents (% of GDP)
#> 16244 Total natural resources rents (% of GDP)
#> 16251 Gross domestic savings (current US$)
#> 16252 Gross domestic savings (current LCU)
#> 16253 Gross domestic savings, total (constant 2000 US$)
#> 16255 Gross domestic savings (constant LCU)
#> 16257 Gross domestic savings (% of GDP)
#> 16258 Gross domestic income (constant 2005 US$)
#> 16260 Gross domestic income (constant LCU)
#> 16262 Genuine savings: education expenditure (% of GDP)
#> 16263 Genuine savings: carbon dioxide damage (% of GDP)
#> 16264 Genuine savings: net forest depletion (% of GDP)
#> 16265 Genuine savings: consumption of fixed capital (% of GDP)
#> 16266 Genuine savings: mineral depletion (% of GDP)
#> 16267 Genuine savings: energy depletion (% of GDP)
#> 16268 Genuine savings: net domestic savings (% of GDP)
#> 16269 Genuine domestic savings (% of GDP)
#> 16281 GNI, PPP (current international $)
#> 16282 GNI, PPP (constant 2021 international $)
#> 16292 GNI per capita, PPP (current international $)
#> 16293 GNI per capita, PPP (constant 2021 international $)
#> 16302 Gross savings (% of GDP)
#> 16340 GDP growth, constant (average 2010-19 prices and exchange rates)
#> 16341 GDP,current US$,millions,seas. adj.,
#> 16342 GDP,current LCU,millions,seas. adj.,
#> 16343 GDP,constant 2010 US$,millions,seas. adj.,
#> 16344 GDP,constant 2010 LCU,millions,seas. adj.,
#> 16420 Price level index (GDP)
#> 16421 PPP conversion factor, GDP (LCU per international $)
#> 16422 2005 PPP conversion factor, GDP (LCU per international $)
#> 16423 Price level ratio of PPP conversion factor (GDP) to market exchange rate
#> 16425 PPP conversion factor, households and NPISHs Final consumption expenditure (LCU per international $)
#> 16484 World Bank: Share of GDP for central government expenditures on education (%)
#> 16492 World Bank: Public capital expenditure on education as % of GDP
#> 16517 World Bank: Public education expenditure per student (% of GDP per capita)
#> 16539 World Bank: Public recurrent expenditure on education (% of GDP)
#> 16548 World Bank: Education salary expenditures as a % of GDP
#> 16557 World Bank: Share of GDP for subnational government expenditures on education (%)
#> 16562 World Bank: Ratio of Teacher Salaries to per capita GDP
#> 16564 World Bank: Total education expenditure as % of GDP
#> 16565 World Bank: Total public education expenditure as % of GDP
#> 16578 World Bank: Share of GDP for education expenditures on basic education (%)
#> 16594 World Bank: Public education expenditure per student (% of GDP per capita), basic
#> 16613 World Bank: Ratio of Teacher Salaries to per capita GDP, basic education
#> 16624 World Bank: Share of GDP lost through inefficiencies (%)
#> 16625 World Bank: Share of GDP potentially saved with improved targeting of education subsidies (%)
#> 16627 World Bank: Share of GDP potentially saved with improved pupil/teacher ratios (%)
#> 16661 World Bank: Public education expenditure per student (% of GDP per capita), junior secondary
#> 16678 World Bank: Ratio of Teacher Salaries to per capita GDP, junior secondary
#> 16694 World Bank: School Feeding Programs (% of GDP)
#> 16775 World Bank: Central Government Transfers for education (% of GDP)
#> 16799 World Bank: Share of GDP for education expenditures on pre-primary education (%)
#> 16804 World Bank: Public education expenditure per student (% of GDP per capita), pre-primary
#> 16854 World Bank: Share of GDP for education expenditures on primary education (%)
#> 16871 World Bank: Public education expenditure per student (% of GDP per capita), primary
#> 16893 World Bank: Primary recurrent expenditures as a share of GDP (%)
#> 16897 World Bank: Ratio of Teacher Salaries to per capita GDP, primary
#> 16949 World Bank: Share of GDP for education expenditures on secondary education (%)
#> 16965 World Bank: Public education expenditure per student (% of GDP per capita), secondary
#> 16988 World Bank: Secondary recurrent expenditures as a share of GDP (%)
#> 16992 World Bank: Ratio of Teacher Salaries to per capita GDP, secondary
#> 17060 World Bank: Total education expenditure from public sources (% of GDP)
#> 17120 World Bank: Total education expenditures from international sources as a % of GDP
#> 17141 World Bank: Total private expenditure on education (% of GDP)
#> 17142 World Bank: Total private expenditure on pre-primary education (% of GDP)
#> 17143 World Bank: Total private expenditure on primary education (% of GDP)
#> 17144 World Bank: Total private expenditure on secondary education (% of GDP)
#> 17145 World Bank: Total private expenditure on tertiary education (% of GDP)
#> 17200 World Bank: Public education expenditure per student (% of GDP per capita), senior secondary
#> 17217 World Bank: Ratio of Teacher Salaries to per capita GDP, senior secondary
#> 17249 World Bank: Share of GDP for education expenditures on tertiary education (%)
#> 17257 World Bank: Public education expenditure per student (% of GDP per capita), tertiary
#> 17277 World Bank: Tertiary recurrent expenditures as a share of GDP (%)
#> 17281 World Bank: Ratio of Teacher Salaries to per capita GDP, tertiary
#> 17304 World Bank: Public education expenditure per student (% of GDP per capita), teacher training
#> 17319 World Bank: Share of GDP for education expenditures on technical/vocational education (%)
#> 17324 World Bank: Public education expenditure per student (% of GDP per capita), technical/vocational education
#> 21520 Total General Allocation Grant/DAU (in IDR)
#> 24343 (Financing) - Does the country spend 4-5% of GDP or 15-20% of public expenditures on education spending?
#> 24716 (De Facto) Average principal salary as percent of GDP per capita
#> 24780 (De Jure) Average starting public-school teacher salary as percent of GDP per capita
#> 25007 Public Expenditure on Education (% GDP)
#> 25012 Public spending on education, primary (% of GDP)
#> 25013 Government expenditure per student, primary (% of GDP per capita)
#> 25016 Public spending on education, secondary (% of GDP)
#> 25017 Government expenditure per student, secondary (% of GDP per capita)
#> 25021 Public spending on education, tertiary (% of GDP)
#> 25022 Government expenditure per student, tertiary (% of GDP per capita)
#> 25025 Government expenditure on education, total (% of GDP)
#> 25045 Rail traffic (km per million US$ GDP)
#> 25939 Maternal mortality ratio (modeled estimate, per 100,000 live births)
#> 26083 Current health expenditure (% of GDP)
#> 26092 Domestic general government health expenditure (% of GDP)
#> 26096 Public Expenditure on Health (% GDP)
#> 26097 Capital health expenditure (% of GDP)
#> 26109 Health expenditure, private (% of GDP)
#> 26112 Health expenditure, public (% of GDP)
#> 26118 Health expenditure, total (% of GDP)
#> 26292 GDP per person employed (constant 2021 PPP $)
#> 26293 GDP per person employed (annual % growth)
#> 26294 GDP per person employed, index (1980 = 100)
#> 27036 Classification of national industry
#> 27038 Classification of household consumption
#> 27043 Finance Indicator based on PARIS21 indicators on SDG 17.18.3 & SDG 17.19.1
#> 27078 Trade (% of GDP, PPP)
#> 27079 Merchandise trade (% of GDP)
#> 27080 Trade in goods (% of goods GDP)
#> 29287 Government expenditure on pre-primary education, constant PPP$ (millions)
#> 29288 Government expenditure on primary education, constant PPP$ (millions)
#> 29289 Government expenditure on lower secondary education, constant PPP$ (millions)
#> 29290 Government expenditure on secondary education, constant PPP$ (millions)
#> 29291 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant PPP$ (millions)
#> 29292 Government expenditure on upper secondary education, constant PPP$ (millions)
#> 29293 Government expenditure on post-secondary non-tertiary education, constant PPP$ (millions)
#> 29294 Government expenditure on tertiary education, constant PPP$ (millions)
#> 29295 Government expenditure on education, constant PPP$ (millions)
#> 29296 Government expenditure on education not specified by level, constant PPP$ (millions)
#> 29307 Government expenditure on pre-primary education, constant US$ (millions)
#> 29308 Government expenditure on primary education, constant US$ (millions)
#> 29309 Government expenditure on lower secondary education, constant US$ (millions)
#> 29310 Government expenditure on secondary education, constant US$ (millions)
#> 29311 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant US$ (millions)
#> 29312 Government expenditure on upper secondary education, constant US$ (millions)
#> 29313 Government expenditure on post-secondary non-tertiary education, constant US$ (millions)
#> 29314 Government expenditure on tertiary education, constant US$ (millions)
#> 29315 Government expenditure on education, constant US$ (millions)
#> 29316 Government expenditure on education not specified by level, constant US$ (millions)
#> 29317 Government expenditure on pre-primary education as % of GDP (%)
#> 29318 Government expenditure on primary education as % of GDP (%)
#> 29319 Government expenditure on lower secondary education as a percentage of GDP (%)
#> 29320 Government expenditure on secondary education as % of GDP (%)
#> 29321 Government expenditure on secondary and post-secondary non-tertiary vocational education as % of GDP (%)
#> 29322 Government expenditure on upper secondary education as a percentage of GDP (%)
#> 29323 Government expenditure on post-secondary non-tertiary education as % of GDP (%)
#> 29324 Government expenditure on tertiary education as % of GDP (%)
#> 29374 Initial government funding per pre-primary student as a percentage of GDP per capita
#> 29375 Initial government funding per primary student as a percentage of GDP per capita
#> 29376 Initial household funding per primary student as a percentage of GDP per capita
#> 29377 Initial government funding per lower secondary student as a percentage of GDP per capita
#> 29378 Initial government funding per secondary student as a percentage of GDP per capita
#> 29379 Initial household funding per secondary student as a percentage of GDP per capita
#> 29380 Initial government funding per upper secondary student as a percentage of GDP per capita
#> 29381 Initial government funding per tertiary student as a percentage of GDP per capita
#> 29382 Initial household funding per tertiary student as a percentage of GDP per capita
#> unit source_id source_value
#> 689 <NA> 37 LAC Equity Lab
#> 690 <NA> 37 LAC Equity Lab
#> 691 <NA> 37 LAC Equity Lab
#> 692 <NA> 37 LAC Equity Lab
#> 2097 <NA> 2 World Development Indicators
#> 2098 <NA> 57 WDI Database Archives
#> 2099 <NA> 57 WDI Database Archives
#> 2100 <NA> 57 WDI Database Archives
#> 2101 <NA> 57 WDI Database Archives
#> 2402 <NA> 64 Worldwide Bureaucracy Indicators
#> 2425 <NA> 57 WDI Database Archives
#> 2437 <NA> 57 WDI Database Archives
#> 2438 <NA> 2 World Development Indicators
#> 2451 <NA> 2 World Development Indicators
#> 2452 <NA> 57 WDI Database Archives
#> 2455 <NA> 57 WDI Database Archives
#> 2458 <NA> 11 Africa Development Indicators
#> 2464 <NA> 11 Africa Development Indicators
#> 2473 <NA> 11 Africa Development Indicators
#> 2475 <NA> 57 WDI Database Archives
#> 2481 <NA> 11 Africa Development Indicators
#> 2492 <NA> 11 Africa Development Indicators
#> 2541 <NA> 57 WDI Database Archives
#> 2553 <NA> 57 WDI Database Archives
#> 2555 <NA> 2 World Development Indicators
#> 2564 <NA> 11 Africa Development Indicators
#> 2570 <NA> 2 World Development Indicators
#> 2571 <NA> 11 Africa Development Indicators
#> 2868 <NA> 87 Country Climate and Development Report (CCDR)
#> 2869 <NA> 87 Country Climate and Development Report (CCDR)
#> 2944 <NA> 87 Country Climate and Development Report (CCDR)
#> 2945 <NA> 87 Country Climate and Development Report (CCDR)
#> 2968 <NA> 87 Country Climate and Development Report (CCDR)
#> 2969 <NA> 87 Country Climate and Development Report (CCDR)
#> 2970 <NA> 87 Country Climate and Development Report (CCDR)
#> 3033 <NA> 87 Country Climate and Development Report (CCDR)
#> 3034 <NA> 87 Country Climate and Development Report (CCDR)
#> 3043 <NA> 87 Country Climate and Development Report (CCDR)
#> 3136 <NA> 57 WDI Database Archives
#> 3139 <NA> 2 World Development Indicators
#> 3142 <NA> 2 World Development Indicators
#> 4290 <NA> 20 Quarterly Public Sector Debt
#> 4293 <NA> 20 Quarterly Public Sector Debt
#> 4296 <NA> 20 Quarterly Public Sector Debt
#> 4299 <NA> 20 Quarterly Public Sector Debt
#> 4302 <NA> 20 Quarterly Public Sector Debt
#> 4307 <NA> 20 Quarterly Public Sector Debt
#> 4310 <NA> 20 Quarterly Public Sector Debt
#> 4313 <NA> 20 Quarterly Public Sector Debt
#> 4316 <NA> 20 Quarterly Public Sector Debt
#> 4319 <NA> 20 Quarterly Public Sector Debt
#> 4324 <NA> 20 Quarterly Public Sector Debt
#> 4327 <NA> 20 Quarterly Public Sector Debt
#> 4330 <NA> 20 Quarterly Public Sector Debt
#> 4333 <NA> 20 Quarterly Public Sector Debt
#> 4336 <NA> 20 Quarterly Public Sector Debt
#> 4341 <NA> 20 Quarterly Public Sector Debt
#> 4344 <NA> 20 Quarterly Public Sector Debt
#> 4347 <NA> 20 Quarterly Public Sector Debt
#> 4350 <NA> 20 Quarterly Public Sector Debt
#> 4353 <NA> 20 Quarterly Public Sector Debt
#> 4358 <NA> 20 Quarterly Public Sector Debt
#> 4361 <NA> 20 Quarterly Public Sector Debt
#> 4364 <NA> 20 Quarterly Public Sector Debt
#> 4367 <NA> 20 Quarterly Public Sector Debt
#> 4370 <NA> 20 Quarterly Public Sector Debt
#> 4375 <NA> 20 Quarterly Public Sector Debt
#> 4378 <NA> 20 Quarterly Public Sector Debt
#> 4381 <NA> 20 Quarterly Public Sector Debt
#> 4384 <NA> 20 Quarterly Public Sector Debt
#> 4387 <NA> 20 Quarterly Public Sector Debt
#> 4390 <NA> 20 Quarterly Public Sector Debt
#> 4393 <NA> 20 Quarterly Public Sector Debt
#> 4396 <NA> 20 Quarterly Public Sector Debt
#> 4399 <NA> 20 Quarterly Public Sector Debt
#> 4404 <NA> 20 Quarterly Public Sector Debt
#> 4407 <NA> 20 Quarterly Public Sector Debt
#> 4410 <NA> 20 Quarterly Public Sector Debt
#> 4413 <NA> 20 Quarterly Public Sector Debt
#> 4416 <NA> 20 Quarterly Public Sector Debt
#> 4421 <NA> 20 Quarterly Public Sector Debt
#> 4425 <NA> 20 Quarterly Public Sector Debt
#> 4427 <NA> 20 Quarterly Public Sector Debt
#> 4429 <NA> 20 Quarterly Public Sector Debt
#> 4431 <NA> 20 Quarterly Public Sector Debt
#> 4433 <NA> 20 Quarterly Public Sector Debt
#> 4435 <NA> 20 Quarterly Public Sector Debt
#> 4437 <NA> 20 Quarterly Public Sector Debt
#> 4439 <NA> 20 Quarterly Public Sector Debt
#> 4441 <NA> 20 Quarterly Public Sector Debt
#> 4443 <NA> 20 Quarterly Public Sector Debt
#> 4446 <NA> 20 Quarterly Public Sector Debt
#> 4449 <NA> 20 Quarterly Public Sector Debt
#> 4452 <NA> 20 Quarterly Public Sector Debt
#> 4455 <NA> 20 Quarterly Public Sector Debt
#> 4458 <NA> 20 Quarterly Public Sector Debt
#> 4461 <NA> 20 Quarterly Public Sector Debt
#> 4464 <NA> 20 Quarterly Public Sector Debt
#> 4467 <NA> 20 Quarterly Public Sector Debt
#> 4470 <NA> 20 Quarterly Public Sector Debt
#> 4475 <NA> 20 Quarterly Public Sector Debt
#> 4478 <NA> 20 Quarterly Public Sector Debt
#> 4481 <NA> 20 Quarterly Public Sector Debt
#> 4484 <NA> 20 Quarterly Public Sector Debt
#> 4487 <NA> 20 Quarterly Public Sector Debt
#> 4492 <NA> 20 Quarterly Public Sector Debt
#> 4495 <NA> 20 Quarterly Public Sector Debt
#> 4498 <NA> 20 Quarterly Public Sector Debt
#> 4501 <NA> 20 Quarterly Public Sector Debt
#> 4504 <NA> 20 Quarterly Public Sector Debt
#> 4509 <NA> 20 Quarterly Public Sector Debt
#> 4514 <NA> 20 Quarterly Public Sector Debt
#> 4517 <NA> 20 Quarterly Public Sector Debt
#> 4520 <NA> 20 Quarterly Public Sector Debt
#> 4523 <NA> 20 Quarterly Public Sector Debt
#> 4526 <NA> 20 Quarterly Public Sector Debt
#> 4529 <NA> 20 Quarterly Public Sector Debt
#> 4532 <NA> 20 Quarterly Public Sector Debt
#> 4535 <NA> 20 Quarterly Public Sector Debt
#> 4538 <NA> 20 Quarterly Public Sector Debt
#> 4543 <NA> 20 Quarterly Public Sector Debt
#> 4546 <NA> 20 Quarterly Public Sector Debt
#> 4549 <NA> 20 Quarterly Public Sector Debt
#> 4552 <NA> 20 Quarterly Public Sector Debt
#> 4555 <NA> 20 Quarterly Public Sector Debt
#> 4560 <NA> 20 Quarterly Public Sector Debt
#> 4565 <NA> 20 Quarterly Public Sector Debt
#> 4568 <NA> 20 Quarterly Public Sector Debt
#> 4571 <NA> 20 Quarterly Public Sector Debt
#> 4574 <NA> 20 Quarterly Public Sector Debt
#> 4577 <NA> 20 Quarterly Public Sector Debt
#> 4580 <NA> 20 Quarterly Public Sector Debt
#> 4583 <NA> 20 Quarterly Public Sector Debt
#> 4586 <NA> 20 Quarterly Public Sector Debt
#> 4589 <NA> 20 Quarterly Public Sector Debt
#> 4594 <NA> 20 Quarterly Public Sector Debt
#> 4597 <NA> 20 Quarterly Public Sector Debt
#> 4600 <NA> 20 Quarterly Public Sector Debt
#> 4603 <NA> 20 Quarterly Public Sector Debt
#> 4606 <NA> 20 Quarterly Public Sector Debt
#> 4611 <NA> 20 Quarterly Public Sector Debt
#> 4616 <NA> 20 Quarterly Public Sector Debt
#> 4619 <NA> 20 Quarterly Public Sector Debt
#> 4622 <NA> 20 Quarterly Public Sector Debt
#> 4625 <NA> 20 Quarterly Public Sector Debt
#> 4628 <NA> 20 Quarterly Public Sector Debt
#> 4631 <NA> 20 Quarterly Public Sector Debt
#> 4634 <NA> 20 Quarterly Public Sector Debt
#> 4637 <NA> 20 Quarterly Public Sector Debt
#> 4640 <NA> 20 Quarterly Public Sector Debt
#> 4645 <NA> 20 Quarterly Public Sector Debt
#> 4648 <NA> 20 Quarterly Public Sector Debt
#> 4651 <NA> 20 Quarterly Public Sector Debt
#> 4654 <NA> 20 Quarterly Public Sector Debt
#> 4657 <NA> 20 Quarterly Public Sector Debt
#> 4662 <NA> 20 Quarterly Public Sector Debt
#> 4667 <NA> 20 Quarterly Public Sector Debt
#> 4670 <NA> 20 Quarterly Public Sector Debt
#> 4673 <NA> 20 Quarterly Public Sector Debt
#> 4676 <NA> 20 Quarterly Public Sector Debt
#> 4679 <NA> 20 Quarterly Public Sector Debt
#> 4682 <NA> 20 Quarterly Public Sector Debt
#> 4685 <NA> 20 Quarterly Public Sector Debt
#> 4688 <NA> 20 Quarterly Public Sector Debt
#> 4691 <NA> 20 Quarterly Public Sector Debt
#> 4696 <NA> 20 Quarterly Public Sector Debt
#> 4701 <NA> 20 Quarterly Public Sector Debt
#> 4704 <NA> 20 Quarterly Public Sector Debt
#> 4707 <NA> 20 Quarterly Public Sector Debt
#> 4710 <NA> 20 Quarterly Public Sector Debt
#> 4713 <NA> 20 Quarterly Public Sector Debt
#> 4716 <NA> 20 Quarterly Public Sector Debt
#> 4719 <NA> 20 Quarterly Public Sector Debt
#> 4722 <NA> 20 Quarterly Public Sector Debt
#> 4725 <NA> 20 Quarterly Public Sector Debt
#> 4730 <NA> 20 Quarterly Public Sector Debt
#> 4733 <NA> 20 Quarterly Public Sector Debt
#> 4736 <NA> 20 Quarterly Public Sector Debt
#> 4739 <NA> 20 Quarterly Public Sector Debt
#> 4742 <NA> 20 Quarterly Public Sector Debt
#> 4747 <NA> 20 Quarterly Public Sector Debt
#> 4753 <NA> 20 Quarterly Public Sector Debt
#> 4756 <NA> 20 Quarterly Public Sector Debt
#> 4759 <NA> 20 Quarterly Public Sector Debt
#> 4762 <NA> 20 Quarterly Public Sector Debt
#> 4765 <NA> 20 Quarterly Public Sector Debt
#> 4770 <NA> 20 Quarterly Public Sector Debt
#> 4773 <NA> 20 Quarterly Public Sector Debt
#> 4776 <NA> 20 Quarterly Public Sector Debt
#> 4779 <NA> 20 Quarterly Public Sector Debt
#> 4782 <NA> 20 Quarterly Public Sector Debt
#> 4787 <NA> 20 Quarterly Public Sector Debt
#> 4790 <NA> 20 Quarterly Public Sector Debt
#> 4793 <NA> 20 Quarterly Public Sector Debt
#> 4796 <NA> 20 Quarterly Public Sector Debt
#> 4799 <NA> 20 Quarterly Public Sector Debt
#> 4804 <NA> 20 Quarterly Public Sector Debt
#> 4807 <NA> 20 Quarterly Public Sector Debt
#> 4810 <NA> 20 Quarterly Public Sector Debt
#> 4813 <NA> 20 Quarterly Public Sector Debt
#> 4816 <NA> 20 Quarterly Public Sector Debt
#> 4821 <NA> 20 Quarterly Public Sector Debt
#> 4824 <NA> 20 Quarterly Public Sector Debt
#> 4827 <NA> 20 Quarterly Public Sector Debt
#> 4830 <NA> 20 Quarterly Public Sector Debt
#> 4833 <NA> 20 Quarterly Public Sector Debt
#> 4838 <NA> 20 Quarterly Public Sector Debt
#> 4841 <NA> 20 Quarterly Public Sector Debt
#> 4844 <NA> 20 Quarterly Public Sector Debt
#> 4847 <NA> 20 Quarterly Public Sector Debt
#> 4850 <NA> 20 Quarterly Public Sector Debt
#> 5346 <NA> 11 Africa Development Indicators
#> 5349 <NA> 11 Africa Development Indicators
#> 5350 <NA> 11 Africa Development Indicators
#> 5504 <NA> 11 Africa Development Indicators
#> 7123 <NA> 11 Africa Development Indicators
#> 7194 <NA> 11 Africa Development Indicators
#> 7199 <NA> 11 Africa Development Indicators
#> 7207 <NA> 11 Africa Development Indicators
#> 7213 <NA> 11 Africa Development Indicators
#> 7363 <NA> 11 Africa Development Indicators
#> 7760 <NA> 60 Economic Fitness
#> 7763 <NA> 70 Economic Fitness 2
#> 7767 <NA> 2 World Development Indicators
#> 7791 <NA> 57 WDI Database Archives
#> 7792 <NA> 57 WDI Database Archives
#> 7793 <NA> 2 World Development Indicators
#> 7794 <NA> 2 World Development Indicators
#> 7802 <NA> 2 World Development Indicators
#> 7921 <NA> 57 WDI Database Archives
#> 7925 <NA> 57 WDI Database Archives
#> 7926 <NA> 57 WDI Database Archives
#> 7931 <NA> 57 WDI Database Archives
#> 7932 <NA> 57 WDI Database Archives
#> 8017 <NA> 2 World Development Indicators
#> 8018 <NA> 2 World Development Indicators
#> 8101 <NA> 2 World Development Indicators
#> 8119 <NA> 57 WDI Database Archives
#> 8173 <NA> 57 WDI Database Archives
#> 8526 <NA> 2 World Development Indicators
#> 8635 <NA> 11 Africa Development Indicators
#> 10994 <NA> 11 Africa Development Indicators
#> 11003 <NA> 2 World Development Indicators
#> 11012 <NA> 2 World Development Indicators
#> 11019 <NA> 57 WDI Database Archives
#> 11020 <NA> 57 WDI Database Archives
#> 11022 <NA> 57 WDI Database Archives
#> 11027 <NA> 57 WDI Database Archives
#> 11028 <NA> 57 WDI Database Archives
#> 11084 <NA> 11 Africa Development Indicators
#> 11093 <NA> 2 World Development Indicators
#> 11098 <NA> 2 World Development Indicators
#> 11099 <NA> 2 World Development Indicators
#> 11100 <NA> 2 World Development Indicators
#> 11101 <NA> 57 WDI Database Archives
#> 11103 <NA> 2 World Development Indicators
#> 11104 <NA> 57 WDI Database Archives
#> 11105 <NA> 57 WDI Database Archives
#> 11106 <NA> 57 WDI Database Archives
#> 11107 <NA> 57 WDI Database Archives
#> 11170 <NA> 57 WDI Database Archives
#> 11171 <NA> 57 WDI Database Archives
#> 11180 <NA> 57 WDI Database Archives
#> 11181 <NA> 57 WDI Database Archives
#> 11185 <NA> 57 WDI Database Archives
#> 11186 <NA> 57 WDI Database Archives
#> 11190 <NA> 57 WDI Database Archives
#> 11191 <NA> 57 WDI Database Archives
#> 11201 <NA> 57 WDI Database Archives
#> 11204 <NA> 57 WDI Database Archives
#> 11206 <NA> 11 Africa Development Indicators
#> 11209 <NA> 57 WDI Database Archives
#> 11211 <NA> 57 WDI Database Archives
#> 11213 <NA> 57 WDI Database Archives
#> 11214 <NA> 57 WDI Database Archives
#> 11217 <NA> 57 WDI Database Archives
#> 11218 <NA> 57 WDI Database Archives
#> 11219 <NA> 57 WDI Database Archives
#> 11220 <NA> 57 WDI Database Archives
#> 11245 <NA> 57 WDI Database Archives
#> 11246 <NA> 57 WDI Database Archives
#> 11264 <NA> 57 WDI Database Archives
#> 11267 <NA> 2 World Development Indicators
#> 11270 <NA> 57 WDI Database Archives
#> 11271 <NA> 57 WDI Database Archives
#> 11278 <NA> 2 World Development Indicators
#> 11281 <NA> 57 WDI Database Archives
#> 11286 <NA> 2 World Development Indicators
#> 11290 <NA> 57 WDI Database Archives
#> 11292 <NA> 57 WDI Database Archives
#> 11294 <NA> 2 World Development Indicators
#> 11296 <NA> 2 World Development Indicators
#> 11298 <NA> 2 World Development Indicators
#> 11309 <NA> 2 World Development Indicators
#> 11324 <NA> 2 World Development Indicators
#> 11341 <NA> 2 World Development Indicators
#> 11584 <NA> 32 Global Financial Development
#> 11585 <NA> 32 Global Financial Development
#> 11586 <NA> 32 Global Financial Development
#> 11588 <NA> 32 Global Financial Development
#> 11589 <NA> 32 Global Financial Development
#> 11590 <NA> 32 Global Financial Development
#> 11591 <NA> 32 Global Financial Development
#> 11592 <NA> 32 Global Financial Development
#> 11593 <NA> 32 Global Financial Development
#> 11594 <NA> 32 Global Financial Development
#> 11595 <NA> 32 Global Financial Development
#> 11596 <NA> 32 Global Financial Development
#> 11597 <NA> 32 Global Financial Development
#> 11598 <NA> 32 Global Financial Development
#> 11599 <NA> 32 Global Financial Development
#> 11600 <NA> 32 Global Financial Development
#> 11601 <NA> 32 Global Financial Development
#> 11602 <NA> 32 Global Financial Development
#> 11603 <NA> 32 Global Financial Development
#> 11604 <NA> 32 Global Financial Development
#> 11605 <NA> 32 Global Financial Development
#> 11606 <NA> 32 Global Financial Development
#> 11607 <NA> 32 Global Financial Development
#> 11608 <NA> 32 Global Financial Development
#> 11609 <NA> 32 Global Financial Development
#> 11610 <NA> 32 Global Financial Development
#> 11613 <NA> 32 Global Financial Development
#> 11621 <NA> 32 Global Financial Development
#> 11626 <NA> 32 Global Financial Development
#> 11629 <NA> 32 Global Financial Development
#> 11630 <NA> 32 Global Financial Development
#> 11634 <NA> 32 Global Financial Development
#> 11635 <NA> 32 Global Financial Development
#> 11639 <NA> 32 Global Financial Development
#> 11640 <NA> 32 Global Financial Development
#> 11641 <NA> 32 Global Financial Development
#> 12921 <NA> 13 Enterprise Surveys
#> 12935 <NA> 13 Enterprise Surveys
#> 13104 <NA> 11 Africa Development Indicators
#> 13171 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13172 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13173 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13174 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13175 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13176 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13453 <NA> 57 WDI Database Archives
#> 13455 <NA> 57 WDI Database Archives
#> 13563 <NA> 11 Africa Development Indicators
#> 15571 <NA> 11 Africa Development Indicators
#> 15595 <NA> 2 World Development Indicators
#> 15600 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15601 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15602 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15603 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15604 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15605 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15606 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15607 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15608 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15609 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15610 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15611 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15612 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15613 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15614 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15615 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15616 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15617 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15618 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15619 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15620 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15621 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15622 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15623 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15624 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15625 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15626 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15627 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15628 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15629 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15630 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15631 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15632 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15633 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15634 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15635 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15636 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15637 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15638 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15639 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15640 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15641 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15642 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15643 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15644 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15645 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15646 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15647 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15648 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15649 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15650 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15651 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15652 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15653 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15654 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15655 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15656 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15657 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15666 <NA> 2 World Development Indicators
#> 15668 <NA> 2 World Development Indicators
#> 15669 <NA> 2 World Development Indicators
#> 15679 <NA> 57 WDI Database Archives
#> 15694 <NA> 2 World Development Indicators
#> 15695 <NA> 2 World Development Indicators
#> 15696 <NA> 2 World Development Indicators
#> 15706 <NA> 57 WDI Database Archives
#> 15714 <NA> 57 WDI Database Archives
#> 15715 <NA> 2 World Development Indicators
#> 15725 <NA> 2 World Development Indicators
#> 15737 <NA> 2 World Development Indicators
#> 15739 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15740 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15741 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15742 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15743 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15744 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15745 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15746 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15771 <NA> 2 World Development Indicators
#> 15776 <NA> 11 Africa Development Indicators
#> 15779 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15786 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15787 <NA> 2 World Development Indicators
#> 15788 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15789 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15790 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15795 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15799 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15808 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15815 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15816 <NA> 57 WDI Database Archives
#> 15817 <NA> 2 World Development Indicators
#> 15827 <NA> 2 World Development Indicators
#> 15828 <NA> 11 Africa Development Indicators
#> 15834 <NA> 57 WDI Database Archives
#> 15835 <NA> 2 World Development Indicators
#> 15838 <NA> 2 World Development Indicators
#> 15902 <NA> 57 WDI Database Archives
#> 15906 <NA> 57 WDI Database Archives
#> 15912 <NA> 57 WDI Database Archives
#> 15920 <NA> 11 Africa Development Indicators
#> 15930 <NA> 11 Africa Development Indicators
#> 15931 <NA> 2 World Development Indicators
#> 15951 <NA> 2 World Development Indicators
#> 15965 <NA> 57 WDI Database Archives
#> 15966 <NA> 2 World Development Indicators
#> 15984 <NA> 11 Africa Development Indicators
#> 15985 <NA> 11 Africa Development Indicators
#> 15986 <NA> 11 Africa Development Indicators
#> 16003 <NA> 57 WDI Database Archives
#> 16004 <NA> 57 WDI Database Archives
#> 16010 <NA> 2 World Development Indicators
#> 16021 <NA> 59 Wealth Accounts
#> 16023 <NA> 59 Wealth Accounts
#> 16025 <NA> 59 Wealth Accounts
#> 16027 <NA> 59 Wealth Accounts
#> 16029 <NA> 59 Wealth Accounts
#> 16031 <NA> 59 Wealth Accounts
#> 16033 <NA> 59 Wealth Accounts
#> 16035 <NA> 59 Wealth Accounts
#> 16039 <NA> 59 Wealth Accounts
#> 16041 <NA> 59 Wealth Accounts
#> 16055 <NA> 59 Wealth Accounts
#> 16057 <NA> 59 Wealth Accounts
#> 16063 <NA> 59 Wealth Accounts
#> 16065 <NA> 59 Wealth Accounts
#> 16083 <NA> 59 Wealth Accounts
#> 16085 <NA> 59 Wealth Accounts
#> 16125 <NA> 59 Wealth Accounts
#> 16127 <NA> 59 Wealth Accounts
#> 16129 <NA> 59 Wealth Accounts
#> 16131 <NA> 59 Wealth Accounts
#> 16133 <NA> 59 Wealth Accounts
#> 16135 <NA> 59 Wealth Accounts
#> 16137 <NA> 59 Wealth Accounts
#> 16139 <NA> 59 Wealth Accounts
#> 16145 <NA> 59 Wealth Accounts
#> 16147 <NA> 59 Wealth Accounts
#> 16153 <NA> 59 Wealth Accounts
#> 16156 <NA> 59 Wealth Accounts
#> 16159 <NA> 59 Wealth Accounts
#> 16161 <NA> 59 Wealth Accounts
#> 16193 <NA> 19 Millennium Development Goals
#> 16197 <NA> 2 World Development Indicators
#> 16198 <NA> 57 WDI Database Archives
#> 16199 <NA> 2 World Development Indicators
#> 16200 <NA> 2 World Development Indicators
#> 16201 <NA> 2 World Development Indicators
#> 16202 <NA> 57 WDI Database Archives
#> 16203 <NA> 2 World Development Indicators
#> 16204 <NA> 11 Africa Development Indicators
#> 16205 <NA> 2 World Development Indicators
#> 16206 <NA> 2 World Development Indicators
#> 16207 <NA> 2 World Development Indicators
#> 16208 <NA> 2 World Development Indicators
#> 16209 <NA> 2 World Development Indicators
#> 16210 <NA> 57 WDI Database Archives
#> 16211 <NA> 2 World Development Indicators
#> 16212 <NA> 57 WDI Database Archives
#> 16213 <NA> 2 World Development Indicators
#> 16214 <NA> 2 World Development Indicators
#> 16215 <NA> 2 World Development Indicators
#> 16216 <NA> 11 Africa Development Indicators
#> 16217 <NA> 2 World Development Indicators
#> 16218 <NA> 2 World Development Indicators
#> 16219 <NA> 11 Africa Development Indicators
#> 16220 <NA> 57 WDI Database Archives
#> 16221 <NA> 2 World Development Indicators
#> 16222 <NA> 57 WDI Database Archives
#> 16223 <NA> 2 World Development Indicators
#> 16224 <NA> 2 World Development Indicators
#> 16225 <NA> 57 WDI Database Archives
#> 16226 <NA> 57 WDI Database Archives
#> 16227 <NA> 2 World Development Indicators
#> 16228 <NA> 2 World Development Indicators
#> 16229 <NA> 57 WDI Database Archives
#> 16230 <NA> 57 WDI Database Archives
#> 16231 <NA> 11 Africa Development Indicators
#> 16232 <NA> 57 WDI Database Archives
#> 16233 <NA> 2 World Development Indicators
#> 16234 <NA> 2 World Development Indicators
#> 16235 <NA> 2 World Development Indicators
#> 16236 <NA> 2 World Development Indicators
#> 16237 <NA> 2 World Development Indicators
#> 16238 <NA> 2 World Development Indicators
#> 16239 <NA> 2 World Development Indicators
#> 16240 <NA> 2 World Development Indicators
#> 16241 <NA> 57 WDI Database Archives
#> 16242 <NA> 11 Africa Development Indicators
#> 16243 <NA> 2 World Development Indicators
#> 16244 <NA> 2 World Development Indicators
#> 16251 <NA> 2 World Development Indicators
#> 16252 <NA> 2 World Development Indicators
#> 16253 <NA> 11 Africa Development Indicators
#> 16255 <NA> 57 WDI Database Archives
#> 16257 <NA> 2 World Development Indicators
#> 16258 <NA> 57 WDI Database Archives
#> 16260 <NA> 2 World Development Indicators
#> 16262 <NA> 57 WDI Database Archives
#> 16263 <NA> 57 WDI Database Archives
#> 16264 <NA> 57 WDI Database Archives
#> 16265 <NA> 57 WDI Database Archives
#> 16266 <NA> 57 WDI Database Archives
#> 16267 <NA> 57 WDI Database Archives
#> 16268 <NA> 57 WDI Database Archives
#> 16269 <NA> 57 WDI Database Archives
#> 16281 <NA> 2 World Development Indicators
#> 16282 <NA> 2 World Development Indicators
#> 16292 <NA> 2 World Development Indicators
#> 16293 <NA> 2 World Development Indicators
#> 16302 <NA> 2 World Development Indicators
#> 16340 <NA> 27 Global Economic Prospects
#> 16341 <NA> 15 Global Economic Monitor
#> 16342 <NA> 15 Global Economic Monitor
#> 16343 <NA> 15 Global Economic Monitor
#> 16344 <NA> 15 Global Economic Monitor
#> 16420 <NA> 2 World Development Indicators
#> 16421 <NA> 2 World Development Indicators
#> 16422 <NA> 57 WDI Database Archives
#> 16423 <NA> 57 WDI Database Archives
#> 16425 <NA> 2 World Development Indicators
#> 16484 <NA> 12 Education Statistics
#> 16492 <NA> 12 Education Statistics
#> 16517 <NA> 12 Education Statistics
#> 16539 <NA> 12 Education Statistics
#> 16548 <NA> 12 Education Statistics
#> 16557 <NA> 12 Education Statistics
#> 16562 <NA> 12 Education Statistics
#> 16564 <NA> 12 Education Statistics
#> 16565 <NA> 12 Education Statistics
#> 16578 <NA> 12 Education Statistics
#> 16594 <NA> 12 Education Statistics
#> 16613 <NA> 12 Education Statistics
#> 16624 <NA> 12 Education Statistics
#> 16625 <NA> 12 Education Statistics
#> 16627 <NA> 12 Education Statistics
#> 16661 <NA> 12 Education Statistics
#> 16678 <NA> 12 Education Statistics
#> 16694 <NA> 12 Education Statistics
#> 16775 <NA> 12 Education Statistics
#> 16799 <NA> 12 Education Statistics
#> 16804 <NA> 12 Education Statistics
#> 16854 <NA> 12 Education Statistics
#> 16871 <NA> 12 Education Statistics
#> 16893 <NA> 12 Education Statistics
#> 16897 <NA> 12 Education Statistics
#> 16949 <NA> 12 Education Statistics
#> 16965 <NA> 12 Education Statistics
#> 16988 <NA> 12 Education Statistics
#> 16992 <NA> 12 Education Statistics
#> 17060 <NA> 12 Education Statistics
#> 17120 <NA> 12 Education Statistics
#> 17141 <NA> 12 Education Statistics
#> 17142 <NA> 12 Education Statistics
#> 17143 <NA> 12 Education Statistics
#> 17144 <NA> 12 Education Statistics
#> 17145 <NA> 12 Education Statistics
#> 17200 <NA> 12 Education Statistics
#> 17217 <NA> 12 Education Statistics
#> 17249 <NA> 12 Education Statistics
#> 17257 <NA> 12 Education Statistics
#> 17277 <NA> 12 Education Statistics
#> 17281 <NA> 12 Education Statistics
#> 17304 <NA> 12 Education Statistics
#> 17319 <NA> 12 Education Statistics
#> 17324 <NA> 12 Education Statistics
#> 21520 <NA> 45 Indonesia Database for Policy and Economic Research
#> 24343 <NA> 84 Education Policy
#> 24716 <NA> 12 Education Statistics
#> 24780 <NA> 12 Education Statistics
#> 25007 <NA> 57 WDI Database Archives
#> 25012 <NA> 57 WDI Database Archives
#> 25013 <NA> 2 World Development Indicators
#> 25016 <NA> 57 WDI Database Archives
#> 25017 <NA> 2 World Development Indicators
#> 25021 <NA> 57 WDI Database Archives
#> 25022 <NA> 2 World Development Indicators
#> 25025 <NA> 2 World Development Indicators
#> 25045 <NA> 57 WDI Database Archives
#> 25939 <NA> 2 World Development Indicators
#> 26083 <NA> 2 World Development Indicators
#> 26092 <NA> 2 World Development Indicators
#> 26096 <NA> 57 WDI Database Archives
#> 26097 <NA> 16 Health Nutrition and Population Statistics
#> 26109 <NA> 57 WDI Database Archives
#> 26112 <NA> 57 WDI Database Archives
#> 26118 <NA> 57 WDI Database Archives
#> 26292 <NA> 2 World Development Indicators
#> 26293 <NA> 11 Africa Development Indicators
#> 26294 <NA> 57 WDI Database Archives
#> 27036 <NA> 83 Statistical Performance Indicators (SPI)
#> 27038 <NA> 83 Statistical Performance Indicators (SPI)
#> 27043 <NA> 83 Statistical Performance Indicators (SPI)
#> 27078 <NA> 57 WDI Database Archives
#> 27079 <NA> 2 World Development Indicators
#> 27080 <NA> 57 WDI Database Archives
#> 29287 <NA> 12 Education Statistics
#> 29288 <NA> 12 Education Statistics
#> 29289 <NA> 12 Education Statistics
#> 29290 <NA> 12 Education Statistics
#> 29291 <NA> 12 Education Statistics
#> 29292 <NA> 12 Education Statistics
#> 29293 <NA> 12 Education Statistics
#> 29294 <NA> 12 Education Statistics
#> 29295 <NA> 12 Education Statistics
#> 29296 <NA> 12 Education Statistics
#> 29307 <NA> 12 Education Statistics
#> 29308 <NA> 12 Education Statistics
#> 29309 <NA> 12 Education Statistics
#> 29310 <NA> 12 Education Statistics
#> 29311 <NA> 12 Education Statistics
#> 29312 <NA> 12 Education Statistics
#> 29313 <NA> 12 Education Statistics
#> 29314 <NA> 12 Education Statistics
#> 29315 <NA> 12 Education Statistics
#> 29316 <NA> 12 Education Statistics
#> 29317 <NA> 12 Education Statistics
#> 29318 <NA> 12 Education Statistics
#> 29319 <NA> 12 Education Statistics
#> 29320 <NA> 12 Education Statistics
#> 29321 <NA> 12 Education Statistics
#> 29322 <NA> 12 Education Statistics
#> 29323 <NA> 12 Education Statistics
#> 29324 <NA> 12 Education Statistics
#> 29374 <NA> 12 Education Statistics
#> 29375 <NA> 12 Education Statistics
#> 29376 <NA> 12 Education Statistics
#> 29377 <NA> 12 Education Statistics
#> 29378 <NA> 12 Education Statistics
#> 29379 <NA> 12 Education Statistics
#> 29380 <NA> 12 Education Statistics
#> 29381 <NA> 12 Education Statistics
#> 29382 <NA> 12 Education Statistics
#> source_note
#> 689 GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
#> 690 Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2011 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.
#> 691 GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2005 U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2000 official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
#> 692 GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2011 international dollars.
#> 2097 Total trade in services includes services provided by residents to non-residents plus services provided by non-residents to residents. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 2098 <NA>
#> 2099 <NA>
#> 2100 <NA>
#> 2101 <NA>
#> 2402 <NA>
#> 2425 <NA>
#> 2437 Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net outflows of investment from the reporting economy to the rest of the world and is divided by GDP.
#> 2438 Foreign direct investment refers to direct investment equity flows in an economy. It is the sum of equity capital, reinvestment of earnings, and other capital. Direct investment is a category of cross-border investment associated with a resident in one economy having control or a significant degree of influence on the management of an enterprise that is resident in another economy. Ownership of 10 percent or more of the ordinary shares of voting stock is the criterion for determining the existence of a direct investment relationship. This series shows net outflows of investment from the reporting economy to the rest of the world, and is divided by GDP.
#> 2451 Balance of current transactions (transactions in goods and services, earned income and transfer income) between residents and non-residents. The term current account balance is used in the external accounts and is expressed from the perspective of resident units. The term current external balance is used in the national accounts and is expressed from the perspective of the non-resident units, and therefore with the opposite sign. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 2452 <NA>
#> 2455 <NA>
#> 2458 Current account balance is the sum of net exports of goods, services, net income, and net current transfers. This is divided by GDP at market prices, with both series expressed in current U.S. dollars.
#> 2464 Net income refers to receipts and payments of employee compensation paid to nonresident workers and investment income (receipts and payments on direct investment, portfolio investment, other investments, and receipts on reserve assets). Income derived from the use of intangible assets is recorded under business services. Data are in current U.S. dollars.
#> 2473 Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows total net, that is, net FDI in the reporting economy from foreign sources less net FDI by the reporting economy to the rest of the world. Data are in current U.S. dollars.
#> 2475 <NA>
#> 2481 Private capital flows consist of net foreign direct investment and portfolio investment. Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. The FDI included here is total net, that is, net FDI in the reporting economy from foreign sources less net FDI by the reporting economy to the rest of the world. Portfolio investment covers transactions in equity securities and debt securities.
#> 2492 Net current transfers are recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars.
#> 2541 <NA>
#> 2553 <NA>
#> 2555 Foreign direct investment is the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net inflows (new investment inflows less disinvestment) in the reporting economy from foreign investors, and is divided by GDP.
#> 2564 Migrants’ remittances are defined as the sum of worker’s remittances,
#> 2570 Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees.
#> 2571 Workers' remittances are current transfers by migrants who are employed or intend to remain employed for more than a year in another economy in which they are considered residents. Some developing countries classify workers' remittances as a factor income receipt (and thus as a component of GNI). The World Bank adheres to international guidelines in defining GNI, and its classification of workers' remittances may therefore differ from national practices. This item shows receipts by the reporting country. Data are in current U.S. dollars.
#> 2868 Revenues from taxes raised on energy products (fossil fuels and electricity) including those used in transportation (petrol and diesel). This includes all CO2-related taxes.
#> 2869 <NA>
#> 2944 Data reflects the impact of the emissions intensity of GDP (as a macro-driver) to total emission growth (excluding LUCF) across the period 2012-2018. This data has been calculated by World Bank staff using greenhouse gas emissions data from the World Resource Institute's Climate Watch. Climate Watch Historical Emission data contains sector-level greenhouse gas (GHG) emissions data for 194 countries and the European Union (EU) for the period 1990-2018, including emissions of the six major GHGs from most major sources and sinks. Non-CO2 emissions are expressed in CO2 equivalents using 100-year global warming potential values from IPCC Fourth Assessment Report. Climate Watch Historical GHG Emissions data (previously published through CAIT Climate Data Explorer) are derived from several sources. Any use of the Land-Use Change and Forestry or Agriculture indicator should be cited as FAO 2020, FAOSTAT Emissions Database. Any use of CO2 emissions from fuel combustion data should be cited as CO2 Emissions from Fuel Combustion, OECD/IEA, 2020.
#> 2945 Data reflects the impact of GDP-per capita (as a macro-driver) to total emission growth (excluding LUCF) across the period 2012-2018. This data has been calculated by World Bank staff using greenhouse gas emissions data from the World Resource Institute's Climate Watch. Climate Watch Historical Emission data contains sector-level greenhouse gas (GHG) emissions data for 194 countries and the European Union (EU) for the period 1990-2018, including emissions of the six major GHGs from most major sources and sinks. Non-CO2 emissions are expressed in CO2 equivalents using 100-year global warming potential values from IPCC Fourth Assessment Report. Climate Watch Historical GHG Emissions data (previously published through CAIT Climate Data Explorer) are derived from several sources. Any use of the Land-Use Change and Forestry or Agriculture indicator should be cited as FAO 2020, FAOSTAT Emissions Database. Any use of CO2 emissions from fuel combustion data should be cited as CO2 Emissions from Fuel Combustion, OECD/IEA, 2020.
#> 2968 Data reflects the cost of a risk taking strategy that adopts an ambititious low-risk strategy. This is discussed in Policy Note 5 of the Beyond the Gap report.
#> 2969 Data reflects the cost of a risk taking strategy that keeps the risk relative to GDP constant. This is discussed in Policy Note 5 of the Beyond the Gap report.
#> 2970 Data reflects the level of spending in protection that minimizes the cost of floods, including the prevention of expenditure and damages. This is discussed in Policy Note 5 of the Beyond the Gap report.
#> 3033 Risk to asset indicator is intended to be viewed with risk to wellbeing indicator (both reported as average annual losses as % of GDP). The Unbreakable report which the indicators are taken from moves beyond asset and production losses and shifts its attention to how natural disasters affect people’s well-being. Disasters are far greater threats to well-being than traditional estimates suggest. This approach provides a more nuanced view of natural disasters than usual reporting, and a perspective that takes fuller account of poor people’s vulnerabilities.
#> 3034 Risk to wellbeing indicator is intended to be viewed with risk to asset indicator (both reported as average annual losses as % of GDP). The Unbreakable report which the indicators are taken from moves beyond asset and production losses and shifts its attention to how natural disasters affect people’s well-being. Disasters are far greater threats to well-being than traditional estimates suggest. This approach provides a more nuanced view of natural disasters than usual reporting, and a perspective that takes fuller account of poor people’s vulnerabilities.
#> 3043 <NA>
#> 3136 <NA>
#> 3139 Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values.
#> 3142 The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.
#> 4290 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4293 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4296 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4299 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4302 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4307 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4310 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4313 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4316 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4319 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4324 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4327 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4330 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4333 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4336 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4341 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4344 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4347 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4350 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4353 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4358 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4361 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4364 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4367 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4370 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4375 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4378 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4381 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4384 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4387 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4390 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4393 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4396 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4399 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4404 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4407 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4410 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4413 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4416 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4421 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4425 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4427 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4429 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4431 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4433 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4435 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4437 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4439 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4441 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4443 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4446 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4449 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4452 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4455 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4458 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4461 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4464 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4467 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4470 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4475 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4478 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4481 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4484 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4487 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4492 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4495 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4498 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4501 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4504 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4509 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4514 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4517 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4520 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4523 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4526 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4529 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4532 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4535 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4538 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4543 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4546 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4549 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4552 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4555 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4560 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4565 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4568 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4571 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4574 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4577 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4580 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4583 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4586 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4589 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4594 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4597 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4600 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4603 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4606 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4611 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4616 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4619 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4622 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4625 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4628 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4631 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4634 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4637 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4640 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4645 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4648 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4651 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4654 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4657 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4662 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4667 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4670 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4673 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4676 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4679 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4682 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4685 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4688 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4691 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4696 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4701 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4704 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4707 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4710 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4713 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4716 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4719 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4722 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4725 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4730 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4733 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4736 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4739 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4742 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4747 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4753 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4756 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4759 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4762 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4765 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4770 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4773 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4776 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4779 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4782 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4787 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4790 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4793 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4796 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4799 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4804 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4807 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4810 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4813 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4816 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4821 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4824 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4827 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4830 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4833 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4838 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4841 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4844 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4847 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4850 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 5346 Concessional Long-term Debt Outstanding and Disbursed (LDOD) conveys information about the borrower's receipt of aid from official lenders at concessional terms as defined by the Development Assistance Committee (DAC) of the OECD. Concessional debt is defined as loans with an original grant element of 25 percent or more. The grant equivalent of a loan is its commitment (present) value, less the discounted present value of its contractual debt service; conventionally, future service payments are discounted at 10 percent. The grant element of a loan is the grant equivalent expressed as a percentage of the amount committed. It is used as a measure of the overall cost of borrowing. Loans from major regional development banks--African Development Bank, Asian Development Bank, and the Inter-American Development Bank--and from the World Bank are classified as concessional according to each institution's classification and not according to the DAC definition, as was the practice in earlier reports. LDOD is the total outstanding long-term debt at year end. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents and repayable in currency, goods, or services.
#> 5349 Non-concessional LDOD conveys information about the borrower's receipt of aid from official lenders on non-concessional terms as defined by the Development Assistance Committee (DAC) of the OECD. Concessional debt is defined as loans with an original grant element of 25 percent or more. The grant equivalent of a loan is its commitment (present) value, less the discounted present value of its contractual debt service; conventionally, future service payments are discounted at 10 percent. The grant element of a loan is the grant equivalent expressed as a percentage of the amount committed. It is used as a measure of the overall cost of borrowing. Loans from major regional development banks--African Development Bank, Asian Development Bank, and the Inter-American Development Bank--and from the World Bank are classified as concessional according to each institution's classification and not according to the DAC definition, as was the practice in earlier reports. Long-term debt outstanding and disbursed (LDOD) is the total outstanding long-term debt at year end. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents and repayable in currency, goods, or services. Data are in current U.S. dollars.
#> 5350 Non-concessional LDOD conveys information about the borrower's receipt of aid from official lenders on non-concessional terms as defined by the Development Assistance Committee (DAC) of the OECD. Concessional debt is defined as loans with an original grant element of 25 percent or more. The grant equivalent of a loan is its commitment (present) value, less the discounted present value of its contractual debt service; conventionally, future service payments are discounted at 10 percent. The grant element of a loan is the grant equivalent expressed as a percentage of the amount committed. It is used as a measure of the overall cost of borrowing. Loans from major regional development banks--African Development Bank, Asian Development Bank, and the Inter-American Development Bank--and from the World Bank are classified as concessional according to each institution's classification and not according to the DAC definition, as was the practice in earlier reports. Long-term debt outstanding and disbursed (LDOD) is the total outstanding long-term debt at year end. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents and repayable in currency, goods, or services. Data are divided by GDP at market prices in current U.S. dollars to facilitate comparison across economies.
#> 5504 Total external debt is debt owed to nonresidents repayable in currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Data expressed as a percentage of GDP at market prices.
#> 7123 Official development assistance and net official aid record the actual international transfer by the donor of financial resources or of goods or services valued at the cost to the donor, less any repayments of loan principal during the same period.
#> 7194 Official development assistance and net official aid record the actual international transfer by the donor of financial resources or of goods or services valued at the cost to the donor, less any repayments of loan principal during the same period.
#> 7199 Official development assistance and net official aid record the actual international transfer by the donor of financial resources or of goods or services valued at the cost to the donor, less any repayments of loan principal during the same period.
#> 7207 Official development assistance and net official aid record the actual international transfer by the donor of financial resources or of goods or services valued at the cost to the donor, less any repayments of loan principal during the same period.
#> 7213 Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent).
#> 7363 Total debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF.
#> 7760 Economic Fitness (EF) is both a measure of a country’s diversification and ability to produce complex goods on a globally competitive basis. Countries with the highest levels of EF have capabilities to produce a diverse portfolio of products, ability to upgrade into ever-increasing complex goods, tend to have more predictable long-term growth, and to attain good competitive position relative to other countries. Countries with low EF levels tend to suffer from poverty, low capabilities, less predictable growth, low value-addition, and trouble upgrading and diversifying faster than other countries. The starting data is the COMTRADE list of products exported by each country. This data defines a bipartite network of countries and products, or goods and services. A suitably designed mathematical algorithm applied to this network leads to the Economic Fitness of all countries and the Complexity of all products. The comparison of the Fitness to the GDP reveals hidden information for the development and the growth of the countries.
#> 7763 The Universal Economic Fitness (UEF) is both a measure of a country’s diversification and ability to produce complex goods on a globally competitive basis. Countries with the highest levels of EF have capabilities to produce a diverse portfolio of products, ability to upgrade into ever-increasing complex goods, tend to have more predictable long-term growth, and to attain good competitive position relative to other countries. Countries with low UEF levels tend to suffer from poverty, low capabilities, less predictable growth, low value-addition, and trouble upgrading and diversifying faster than other countries. The starting data is the COMTRADE list of products and the IMF-BOP list of services exported by each country. This data defines a bipartite network of countries and sectors, or goods and services. A suitably designed mathematical algorithm applied to this network leads to the Universal Economic Fitness of all countries and the Complexity of all sectors. The comparison of the Fitness to the GDP reveals hidden information for the development and the growth of the countries.
#> 7767 Energy intensity level of primary energy is the ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. Lower ratio indicates that less energy is used to produce one unit of output.
#> 7791 <NA>
#> 7792 <NA>
#> 7793 GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to current international dollars using purchasing power parity rates based on the 2017 ICP round. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.
#> 7794 GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to 2021 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.
#> 7802 Energy use per PPP GDP is the kilogram of oil equivalent of energy use per constant PPP GDP. Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. PPP GDP is gross domestic product converted to 2021 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.
#> 7921 <NA>
#> 7925 <NA>
#> 7926 Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.
#> 7931 Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.
#> 7932 Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.
#> 8017 Annual emissions of carbon dioxide (CO2), one of the six Kyoto greenhouse gases (GHG), from the agriculture, energy, waste, and industrial sectors, excluding LULUCF divided by the GDP in constant 2021 US$.
#> 8018 Annual emissions of carbon dioxide (CO2), one of the six Kyoto greenhouse gases (GHG), from the agriculture, energy, waste, and industrial sectors, excluding LULUCF divided by the GDP in 2021 PPP $.
#> 8101 Water productivity is calculated as GDP in constant prices divided by annual total water withdrawal.
#> 8119 <NA>
#> 8173 <NA>
#> 8526 Domestic credit to private sector by banks refers to financial resources provided to the private sector by other depository corporations (deposit taking corporations except central banks), such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 8635 Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (December 31) London prices.
#> 10994 Claims on governments and other public entities (IFS line 32an + 32b + 32bx + 32c) usually comprise direct credit for specific purposes such as financing of the government budget deficit or loans to state enterprises, advances against future credit authorizations, and purchases of treasury bills and bonds, net of deposits by the public sector. Public sector deposits with the banking system also include sinking funds for the service of debt and temporary deposits of government revenues. Data are in current local currency.
#> 11003 Domestic credit to private sector refers to financial resources provided to the private sector, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11012 Broad money is the sum of all liquid financial instruments held by money-holding sectors that are widely accepted in an economy as a medium of exchange, plus those that can be converted into a medium of exchange at short notice at, or close to, their full nominal value. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11019 Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition of money supply is frequently called M2; it corresponds to lines 34 and 35 in the International Monetary Fund's (IMF) International Financial Statistics (IFS).
#> 11020 <NA>
#> 11022 <NA>
#> 11027 <NA>
#> 11028 <NA>
#> 11084 Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator.
#> 11093 An interest rate is the amount charged, expressed as a percentage of the principal over a period of time, by the owners of certain kinds of financial assets for putting the financial assets at the disposal of another institutional unit. The real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. The terms and conditions attached to lending rates differ by country, however, limiting their comparability. This indicator is expressed as a percentage (a÷b)*100.
#> 11098 Claims on central government include loans to central government institutions net of deposits. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11099 Claims on other sectors of the domestic economy include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11100 Domestic credit provided by the financial sector includes all credit to various sectors on a gross basis, with the exception of credit to the central government, which is net. The financial sector includes monetary authorities and deposit money banks, as well as other financial corporations where data are available (including corporations that do not accept transferable deposits but do incur such liabilities as time and savings deposits). Examples of other financial corporations are finance and leasing companies, money lenders, insurance corporations, pension funds, and foreign exchange companies. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11101 <NA>
#> 11103 Domestic credit to private sector refers to financial resources provided to the private sector by financial corporations, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises. The financial corporations include monetary authorities and deposit money banks, as well as other financial corporations where data are available (including corporations that do not accept transferable deposits but do incur such liabilities as time and savings deposits). Examples of other financial corporations are finance and leasing companies, money lenders, insurance corporations, pension funds, and foreign exchange companies. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11104 <NA>
#> 11105 Liquid liabilities are also known as M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements (M2), plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual funds or market funds held by residents.
#> 11106 <NA>
#> 11107 Quasi-liquid liabilities are the sum of currency and deposits in the central bank (M0), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements, plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual funds or market funds held by residents. They equal the M3 money supply less transferable deposits and electronic currency (M1).
#> 11170 <NA>
#> 11171 <NA>
#> 11180 <NA>
#> 11181 <NA>
#> 11185 <NA>
#> 11186 <NA>
#> 11190 <NA>
#> 11191 <NA>
#> 11201 <NA>
#> 11204 <NA>
#> 11206 Central government revenues, excluding all grants.
#> 11209 <NA>
#> 11211 <NA>
#> 11213 <NA>
#> 11214 <NA>
#> 11217 <NA>
#> 11218 <NA>
#> 11219 <NA>
#> 11220 <NA>
#> 11245 <NA>
#> 11246 <NA>
#> 11264 <NA>
#> 11267 Gross domestic expenditures on research and development (R&D), expressed as a percent of GDP. They include both capital and current expenditures in the four main sectors: Business enterprise, Government, Higher education and Private non-profit. R&D covers basic research, applied research, and experimental development.
#> 11270 <NA>
#> 11271 <NA>
#> 11278 Net acquisition of government financial assets includes domestic and foreign financial claims, SDRs, and gold bullion held by monetary authorities as a reserve asset. The net acquisition of financial assets should be offset by the net incurrence of liabilities. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11281 Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).
#> 11286 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year. Central government is the part of general government that includes all administrative departments of the national executive, legislative, and judicial functions, other central agencies and those non-market producers controlled by the central government, whose competence extends normally over the whole economic territory. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11290 Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets (a third financing item). The difference between the cash surplus or deficit and the three financing items is the net change in the stock of cash.
#> 11292 Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets (a third financing item). The difference between the cash surplus or deficit and the three financing items is the net change in the stock of cash.
#> 11294 Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11296 Net investment in government nonfinancial assets includes fixed assets, inventories, valuables, and nonproduced assets. Nonfinancial assets are stores of value and provide benefits either through their use in the production of goods and services or in the form of property income and holding gains. Net investment in nonfinancial assets also includes consumption of fixed capital. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11298 Net lending (+) / net borrowing (–) equals government revenue minus expense, minus net investment in nonfinancial assets. It is also equal to the net result of transactions in financial assets and liabilities. Net lending/net borrowing is a summary measure indicating the extent to which government is either putting financial resources at the disposal of other sectors in the economy or abroad, or utilizing the financial resources generated by other sectors in the economy or from abroad. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11309 Revenue is an increase in net worth resulting from a transaction. Grants are excluded from this figure. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11324 Taxes are compulsory, unrequited payments, in cash or in kind, made by institutional\n\n\n\n\nunits to government units. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11341 Expense is a decrease in net worth resulting from a transaction. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11584 Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Private credit by deposit money banks (IFS line 22d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11585 Claims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11586 Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Nonbank financial institutions assets (IFS lines 42, a-d, h, and s); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11588 Ratio of liquid liabilities to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is liquid liabilities, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Liquid liabilities (IFS lines 55L or, if not available, line 35L); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF) For Eurocurrency area countries liquid liabilities are estimated by summing IFS items 34A, 34B and 35.
#> 11589 Claims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11590 Data taken from a variety of sources such as Investment Company Institute and national sources.
#> 11591 Demand, time and saving deposits in deposit money banks and other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Financial system deposits (IFS lines 24, 25, 44, and 45); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11592 Premium data is taken from various issues of Sigma reports (Swiss Re). Data on GDP in US dollars is from the electronic version of the World Development Indicators.
#> 11593 Premium data is taken from various issues of Sigma reports (Swiss Re). Data on GDP in US dollars is from the electronic version of the World Development Indicators.
#> 11594 Data taken from a variety of sources such as AXCO and national sources.
#> 11595 Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF)
#> 11596 Ratio of assets of pension funds to GDP. A pension fund is any plan, fund, or scheme that provides retirement income. Data taken from a variety of sources such as OECD, AIOS, FIAP and national sources.
#> 11597 Domestic credit to private sector refers to financial resources provided to the private sector, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises.
#> 11598 Value of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11599 Total value of all traded shares in a stock market exchange as a percentage of GDP. Following deflation method is use: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11600 Total amount of domestic private debt securities (amounts outstanding) issued in domestic markets as a share of GDP. It covers data on long-term bonds and notes, commercial paper and other short-term notes. Table 16A (domestic debt amount): all issuers minus governments / GDP. End of year data (i.e. December data) are considered for debt securities. The figures are deflated using the following methodology: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is the level domestic private debt, P_e is end-of period CPI, and P_a is average annual CPI. GDP is from World Development Indicators. End-of period CPI is taken from IFS line 64M..ZF month of December (or if not available Q4). Average annual CPI is constructed from the monthly CPI figure taken from IFS line 64..ZF.
#> 11601 Total amount of domestic public debt securities (amounts outstanding) issued in domestic markets as a share of GDP. It covers long-term bonds and notes, treasury bills, commercial paper and other short-term notes. Table 16A (domestic debt amount): governments / GDP. End of year data (i.e. December data) are considered for debt securities. The figures are deflated using the following methodology: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is the level domestic public debt, P_e is end-of period CPI, and P_a is average annual CPI. GDP is from World Development Indicators. End-of period CPI is taken from IFS line 64M..ZF month of December (or if not available Q4). Average annual CPI is constructed from the monthly CPI figure taken from IFS line 64..ZF.
#> 11602 Amount of private international debt securities (amounts outstanding), as a share of GDP. It covers long-term bonds and notes and money market instruments placed on international markets. (Table 12A (international debt amount: all issuers) - Table 12D (international debt amount: governments)) / GDP. End of year data (i.e. December data) are considered for debt securities. The figures are deflated using the following methodology: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is the level intenational private debt, P_e is end-of period CPI, and P_a is average annual CPI. GDP is from World Development Indicators.End-of period CPI is taken from IFS line 64M..ZF month of December (or if not available Q4). Average annual CPI is constructed from the monthly CPI figure taken from IFS line 64..ZF.
#> 11603 Amount of public international debt securities (amounts outstanding), as a share of GDP. It covers long-term bonds and notes and money market instruments placed on international markets. Table 12D (international debt amount): governments / GDP. End of year data (i.e. December data) are considered for debt securities. The figures are deflated using the following methodology: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is the level international public debt, P_e is end-of period CPI, and P_a is average annual CPI. GDP is from World Development Indicators. End-of period CPI is taken from IFS line 64M..ZF month of December (or if not available Q4). Average annual CPI is constructed from the monthly CPI figure taken from IFS line 64..ZF.
#> 11604 Total value of outstanding international debt issues both public and private, as a share of GDP. Offshore bank loan data from BIS Statistical Appendix Table 12A (Amount Outstanding): International debt securities - all issuers.
#> 11605 Ratio of gross portfolio equity liabilities to GDP. Equity liabilities include shares, stocks, participation, and similar documents (such as American depository receipts) that usually denote ownership of equity. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 79LDDZF/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF).
#> 11606 Ratio of gross portfolio equity assets to GDP. Equity assets include shares, stocks, participation, and similar documents (such as American depository receipts) that usually denote ownership of equity. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 79ADDZF / GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF).
#> 11607 Ratio of gross portfolio debt liabilities to GDP. Debt liabilities cover (1) bonds, debentures, notes, etc., and (2) money market or negotiable debt instruments. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 79LEDZF / GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF).
#> 11608 <NA>
#> 11609 <NA>
#> 11610 <NA>
#> 11613 <NA>
#> 11621 Raw data are from the electronic version of the IMF’s International Financial Statistics. (IFS line 22A + line 22B + line 22C) / GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF).
#> 11626 Demand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11629 Ratio of net offshore bank loans to GDP. An offshore bank is a bank located outside the country of residence of the depositor, typically in a low tax jurisdiction (or tax haven) that provides financial and legal advantages. Offshore bank loan data from BIS Statistical Appendix Table 12A (Net Issues): International debt securities - all issuers.
#> 11630 Ratio of outstanding offshore bank loans to GDP. An offshore bank is a bank located outside the country of residence of the depositor, typically in a low tax jurisdiction (or tax haven) that provides financial and legal advantages. Offshore bank loan data from BIS Statistical Appendix Table 7A: External loans and deposits of reporting banks vis-à-vis all sectors.
#> 11634 Workers' remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. Data are the sum of three items defined in the fifth edition of the IMF's Balance of Payments Manual: workers' remittances, compensation of employees, and migrants' transfers. Remittances are classified as current private transfers from migrant workers resident in the host country for more than a year, irrespective of their immigration status, to recipients in their country of origin. Migrants' transfers are defined as the net worth of migrants who are expected to remain in the host country for more than one year that is transferred from one country to another at the time of migration. Compensation of employees is the income of migrants who have lived in the host country for less than a year.
#> 11635 The ratio of consolidated foreign claims to GDP of the banks that are reporting to BIS. Foreign claims are defined as the sum of cross-border claims plus foreign offices’ local claims in all currencies. In the consolidated banking statistics claims that are granted or extended to nonresidents are referred to as either cross-border claims. In the context of the consolidated banking statistics, local claims refer to claims of domestic banks’ foreign affiliates (branches/subsidiaries) on the residents of the host country (i.e. country of residence of affiliates). Items (A+L from BIS Table 9A). End-of-year data (i.e. December data) are considered for banks claims. GDP is from World Development Indicators.
#> 11639 Ratios calculated by source.
#> 11640 GDP data provided by IFS and converted into USD using IFS exchange rates.
#> 11641 A banking crisis is defined as systemic if two conditions are met: a. Significant signs of financial distress in the banking system (as indicated bysignificant bank runs, losses in the banking system, and/or bank liquidations), b. Significant banking policy intervention measures in response to significant losses in the banking system. The first year that both criteria are met is considered as the year when the crisis start becoming systemic. The end of a crisis is defined the year before both real GDP growth and real credit growth are positive for at least two consecutive years.
#> 12921 Annual labor productivity growth is measured by a percentage change in labor productivity between the last completed fiscal year and a previous period, where labor productivity is sales divided by the number of full- time permanent workers. All sales values are deflated to 2009 using each country's GDP deflators.
#> 12935 Real annual sales growth is measured as a percentage change in sales between the last completed fiscal year and a previous period. All sales values are deflated to 2009 using each country's GDP deflators.
#> 13104 Information and communications technology expenditures include computer hardware (computers, storage devices, printers, and other peripherals); computer software (operating systems, programming tools, utilities, applications, and internal software development); computer services (information technology consulting, computer and network systems integration, Web hosting, data processing services, and other services); and communications services (voice and data communications services) and wired and wireless communications equipment.
#> 13171 Nominal Gross state domestic product (GSDP) per capita, or gross regional product (GRP) per capita, is a measurement of the per capita economic output in nominal terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13172 Nominal Gross state domestic product (GSDP) per capita, or gross regional product (GRP) per capita, is a measurement of the per capita economic output in nominal terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13173 Real Gross state domestic product (GSDP), or gross regional product (GRP), is a measurement of the per capita economic output in real terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13174 Real Gross state domestic product (GSDP) [per capita, or gross regional product (GRP) per capita, is a measurement of the per capita growth rate of economic output in real terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13175 Real Gross state domestic product (GSDP) per capita, or gross regional product (GRP) per capita, is a measurement of the per capita economic output in real terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13176 Gross state domestic product (GSDP), or gross regional product (GRP), is a measurement of the per capita growth rate of the economic output in real terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13453 <NA>
#> 13455 <NA>
#> 13563 Telecommunications revenue is the revenue from the provision of telecommunications services such as fixed-line, mobile, and data.
#> 15571 Public Management: Within this subcategory the Ibrahim Index measures: (i) Quality of Public Administration – clustered indicator (average) of variables from the African Development Bank and the World Bank measuring the extent to which the civil service is structured to effectively and ethically design policy and deliver services. (ii) Quality of Budget Management – clustered indicator (average) of variables from the African Development Bank and the World Bank measuring the extent to which there is a comprehensive and credible budget, linked to policy priorities, with mechanisms to ensure implementation and reporting. (iii) Currency Inside Banks – total stock of currency held within banks as a proportion of the money supply in an economy (OD). (iv) Ratio of Total Revenue to Total Expenditure – total budget revenue as a proportion of total budget expenditure (OD). (v) Ratio of Budget Deficit or Surplus to GDP – budget deficit or budget surplus as a proportion of Gross Domestic Product. (vi) Management of Public Debt – clustered indicator (average) of variables from the African Development Bank and the World Bank measuring short- and medium term sustainability of fiscal policy and its impact on growth. (vii) Inflation – annual average change in the consumer price index. (viii) Ratio of External Debt Service to Exports – total external debt service due, expressed as a proportion of exports of goods, non-factor services, income and workers’ remittances. (ix) Imports Covered by Reserves – period of time that imports could be paid for by foreign exchange reserves. (x) Statistical Capacity – national statistical systems and their adherence to international norms in the areas of: Methodology (of compiling statistics and indicators); Regularity and coverage of censuses and surveys; Regularity, timeliness and accessibility of key socioeconomic indicators.
#> 15595 Military expenditure by country as percentage of gross domestic product
#> 15600 <NA>
#> 15601 <NA>
#> 15602 <NA>
#> 15603 <NA>
#> 15604 <NA>
#> 15605 <NA>
#> 15606 <NA>
#> 15607 <NA>
#> 15608 Construction is an economic activity which produces physical structures. Physical structures include: buildings; roads; bridges; railways and bridgeways; tunnel subways; viaducts and drainage; sanitary construction; airport terminals and airfield construction; dams; electricity power plants; distribution, transmission and communication networks. Construction activities include: planning; preparation; execution; demolition; repairs and maintenance; and construction.
#> 15609 Construction is an economic activity which produces physical structures. Physical structures include: buildings; roads; bridges; railways and bridgeways; tunnel subways; viaducts and drainage; sanitary construction; airport terminals and airfield construction; dams; electricity power plants; distribution, transmission and communication networks. Construction activities include: planning; preparation; execution; demolition; repairs and maintenance; and construction.
#> 15610 <NA>
#> 15611 <NA>
#> 15612 <NA>
#> 15613 <NA>
#> 15614 <NA>
#> 15615 <NA>
#> 15616 <NA>
#> 15617 <NA>
#> 15618 <NA>
#> 15619 <NA>
#> 15620 <NA>
#> 15621 <NA>
#> 15622 <NA>
#> 15623 <NA>
#> 15624 <NA>
#> 15625 <NA>
#> 15626 <NA>
#> 15627 <NA>
#> 15628 <NA>
#> 15629 <NA>
#> 15630 Mining is an economic activity which extracts minerals (in solid, liquid or gas form) and prepares these items for further processing. Quarrying is an economic activity that covers all extraction of quarried commodities. Quarried commodities are chemical elements, mineral and recess rock sediments below the earth's surface. Quarried commodities are usually used in manufacturing and construction (excluding metal, coal, petroleum, natural gas and radio active elements).
#> 15631 Mining is an economic activity which extracts minerals (in solid, liquid or gas form) and prepares these items for further processing. Quarrying is an economic activity that covers all extraction of quarried commodities. Quarried commodities are chemical elements, mineral and recess rock sediments below the earth's surface. Quarried commodities are usually used in manufacturing and construction (excluding metal, coal, petroleum, natural gas and radio active elements).
#> 15632 <NA>
#> 15633 <NA>
#> 15634 Manufacturing is an economic activity involving processing materials and transforming them mechanically, chemically, or manually into finished or semi finished products and/or converting them into other goods having higher value and closer to the final user.
#> 15635 Manufacturing is an economic activity involving processing materials and transforming them mechanically, chemically, or manually into finished or semi finished products and/or converting them into other goods having higher value and closer to the final user.
#> 15636 <NA>
#> 15637 <NA>
#> 15638 <NA>
#> 15639 <NA>
#> 15640 <NA>
#> 15641 <NA>
#> 15642 <NA>
#> 15643 <NA>
#> 15644 <NA>
#> 15645 <NA>
#> 15646 <NA>
#> 15647 <NA>
#> 15648 <NA>
#> 15649 <NA>
#> 15650 <NA>
#> 15651 <NA>
#> 15652 <NA>
#> 15653 <NA>
#> 15654 <NA>
#> 15655 <NA>
#> 15656 <NA>
#> 15657 <NA>
#> 15666 Final consumption expenditure is expenditure on goods and services by resident institutional units for the direct satisfaction of human needs or wants, whether individual or collective. General government FCE includes all government current expenditures for purchases of goods and services (including compensation of employees), and most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15668 This indicator provides values for final consumption expenditure per person expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons.\nHouseholds and NPISHs final consumption expenditure includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. The core indicator has been divided by the general population to achieve a per capita estimate. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 15669 This indicator provides values for final consumption expenditure per person expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons.\nHouseholds and NPISHs final consumption expenditure includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. The core indicator has been divided by the general population to achieve a per capita estimate. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 15679 Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. This item also includes any statistical discrepancy in the use of resources relative to the supply of resources.
#> 15694 This indicator provides values for final consumption expenditure expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nHouseholds and NPISHs final consumption expenditure includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 15695 This indicator provides values for final consumption expenditure expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nHouseholds and NPISHs final consumption expenditure includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 15696 This field includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15706 Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). This estimate includes any statistical discrepancy in the use of resources relative to the supply of resources.
#> 15714 <NA>
#> 15715 Final consumption expenditure is expenditure on goods and services by resident institutional units for the direct satisfaction of human needs or wants, whether individual or collective. Final consumption expenditure can be measured for households, general government, the central bank and non-profit institutions serving households. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15725 Gross national expenditure is the sum of household final consumption expenditure, general government final consumption expenditure, and gross capital formation. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15737 Exports of goods includes changes in the economic ownership of goods from residents of the compiling economy to non-residents, irrespective of physical movement of goods across national borders. Exports of services includes services provided by residents to non-residents. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15739 The Indonesian general government sector is classified into two categories: central government; and local government. Central government covers all government bodies affiliated to central government, including all vertical regional boundaries. Local government covers provincial governments, regency governments and village governments. \n\nGovernment final consumption expenditure refers to the value of goods and services produced for own use in the current account. It is the value of gross output less sales of commodities and non-commodities produced.
#> 15740 <NA>
#> 15741 <NA>
#> 15742 <NA>
#> 15743 <NA>
#> 15744 <NA>
#> 15745 Export is a trade of goods and services provided by citizens of a country to citizens of another country in exchange for foreign currency. Export creates influx of foreign currency.
#> 15746 <NA>
#> 15771 Private investment covers outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets. Gross fixed capital formation includes acquisitions less disposals of fixed assets during the accounting period, including certain specified expenditures on services that add to the value of non-produced assets. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15776 Gross public investment (see definition below) as a percentage of GDP (%) . Public sectors’ gross domestic fixed investment (gross fixed capital formation) comprises all additions to the stocks of fixed assets (purchases and own-account capital formation), less any sales of second-hand and scrapped fixed assets measured at constant prices, done by government units and non-financial public enterprises. Most outlays by government on military equipment are excluded. According to 1993 SNA are outlays on weapons and equipment with no alternative civil use treated as intermediate consumption, and part of governments consumption expenditure.
#> 15779 Gross fixed capital formation is expenditure for capital goods which have an effective life of more than one year and which do not represent commodities for consumption. Gross fixed capital formation includes residential and non residential buildings and other constructions such as roads and airports as well as machinery. Expenditure on capital goods and buildings for military requirements is not included in this breakdown, but rather is classified as government consumption. \n\nGross fixed capital formation, in the general government sector, is defined as the difference between government expenditure on additions to its fixed assets and net sales of similar second-hand and scrapped goods. Items classified as fixed capital formation include: dwelling and non-dwelling buildings; roads, bridges and similar constructions; machinery and equipment; motor vehicles; major repairs and alterations to the above mentioned durable goods which significantly extend their lifetime or productivity; and outlays on the reclamation and improvement of land and the development of plantations.
#> 15786 <NA>
#> 15787 Gross fixed capital formation includes acquisitions less disposals of fixed assets during the accounting period, including certain specified expenditures on services that add to the value of non-produced assets. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15788 Import is a trade of goods and services required by citizens of a country from citizens of other country in exchange for foreign currency. Import creates outflux of foreign currency.
#> 15789 <NA>
#> 15790 <NA>
#> 15795 Stock change in a particular year is defined as the difference between the year's final stock and the initial stock. Stock may consist of intermediate goods to be used in the production process, semi-finished goods and unsold finished goods. Those who hold stock include business enterprises, state enterprises and government. Goods categorised as government stock are those held for strategic purposes such as food products.
#> 15799 <NA>
#> 15808 <NA>
#> 15815 <NA>
#> 15816 <NA>
#> 15817 Gross capital formation includes acquisitions less disposals of produced assets for purposes of fixed capital formation, inventories or valuables. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15827 Imports of goods includes change in the economic ownership of goods from non-residents to\n\n\n\n\nresidents of the compiling economy, irrespective of physical movement of goods across national borders. Imports of services includes services provided by non-residents to residents. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15828 Merchandise trade as a share of GDP is the sum of merchandise exports and imports divided by the value of GDP, all in current US dollars and from the national accounts.
#> 15834 <NA>
#> 15835 The balance of international trade in goods and services is the difference between the exports and imports of goods and services. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15838 Trade is the sum of exports and imports of goods and services. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15902 <NA>
#> 15906 <NA>
#> 15912 <NA>
#> 15920 The growth rate of real per capita GDP in agriculture, expressed at an annual rate.
#> 15930 This is the annual rate of growth of agricultural GDP. Value added in agriculture measures the output of the agricultural sector (ISIC divisions 1-5) less the value of intermediate inputs. Agriculture comprises value added from forestry, hunting, and fishing as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 2. Data are in current local currency.
#> 15931 Agriculture, forestry, and fishing corresponds to ISIC (Rev. 4) divisions 01-03 and includes the exploitation of vegetal and animal natural resources, comprising the activities of growing of crops, raising and breeding of animals, harvesting of timber and other plants, animals or animal products from a farm or their natural habitats.Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period. Note: For VAB countries, gross value added at factor cost is used as the denominator.
#> 15951 Manufacturing includes industries classified in ISIC (Rev. 3) major division C and is defined as the physical or chemical transformation of materials or components into new products. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15965 <NA>
#> 15966 Industry (including construction) corresponds to ISIC (Rev.4) divisions 05-43. It is comprised of mining, manufacturing, construction, electricity, water, and gas industries. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15984 This is the discrepancy included in the value added of services, etc. Covered here are any discrepancies noted by national compilers as well as discrepancies arising from linking new and old series in the World Bank data base. Data are in current U.S. dollars.
#> 15985 This is the discrepancy included in the value added of services, etc. Covered here are any discrepancies noted by national compilers as well as discrepancies arising from linking new and old series in the World Bank data base. Data are in current local currency.
#> 15986 This is the discrepancy included in the value added of services, etc. Covered here are any discrepancies noted by national compilers as well as discrepancies arising from linking new and old series in the World Bank data base. Data are in constant local currency.
#> 16003 <NA>
#> 16004 Services correspond to ISIC divisions 50-99 and they include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.
#> 16010 Services industries correspond to ISIC (Rev. 4) divisions 45-99 and includes wholesale and retail trade, repair of motor vehicles, hotels and restaurants, transport, storage and communication, financial intermediation, real estate, renting and business activities, public administration and defence, compulsory social security, education, health and social work, other community, social and personal service activities, private households with employed persons, and extra-territorial organizations and bodies. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 16021 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16023 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16025 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16027 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16029 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16031 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16033 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16035 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16039 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16041 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16055 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16057 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16063 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16065 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16083 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16085 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16125 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16127 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16129 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16131 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16133 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16135 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16137 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16139 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16145 Net foreign assets is foreign assets minus foreign liabilities. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16147 Net foreign assets is foreign assets minus foreign liabilities. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16153 Produced capital includes the value of machinery, buildings, equipment, and residential and nonresidential urban land. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16156 Produced capital includes the value of machinery, buildings, equipment, and residential and nonresidential urban land. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16159 Total wealth is calculated as the sum of produced capital, natural capital, human capital, and net foreign assets. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16161 Total wealth is calculated as the sum of produced capital, natural capital, human capital, and net foreign assets. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16193 Agriculture support is the annual monetary value of all gross transfers from taxpayers and consumers, both domestic and foreign (in the form of subsidies arising from policy measures that support agriculture), net of the associated budgetary receipts, regardless of their objectives and impacts on farm production and income, or consumption of farm products.
#> 16197 Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production.
#> 16198 <NA>
#> 16199 Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.
#> 16200 Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.
#> 16201 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country. This indicator is expressed as a ratio (a÷b).
#> 16202 <NA>
#> 16203 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed as a ratio (a÷b).
#> 16204 This is the discrepancy included in the ‘total consumption etc.' This discrepancy is included to ensures that GDP from the expenditure side equals GDP measured by the income or output approach. Data are in current U.S. dollars.
#> 16205 Although the SNA ensures there is perfect consistency between the three measures of GDP, this is a conceptual consistency that in general does not emerge naturally from data compilations. This is because of the wide disparity of data sources that must be called on and the fact that any error in any source will lead to a difference between at least two of the GDP measures. In practice it is inevitable that many such data errors will exist and will become apparent in exercises such as the balancing of supply and use tables. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16206 Although the SNA ensures there is perfect consistency between the three measures of GDP, this is a conceptual consistency that in general does not emerge naturally from data compilations. This is because of the wide disparity of data sources that must be called on and the fact that any error in any source will lead to a difference between at least two of the GDP measures. In practice it is inevitable that many such data errors will exist and will become apparent in exercises such as the balancing of supply and use tables. This indicator is expressed in constant prices, meaning the underlying series have been adjusted to account for price changes over time. The reference year for this adjustment varies by country.
#> 16207 Gross value added at basic prices reflects the price of products receivable by the producer exclusive of taxes payable on products and inclusive of subsidies receivable on products, less intermediate consumption valued at purchasers' prices. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
#> 16208 Gross value added at basic prices reflects the price of products receivable by the producer exclusive of taxes payable on products and inclusive of subsidies receivable on products, less intermediate consumption valued at purchasers' prices. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16209 Gross value added at basic prices reflects the price of products receivable by the producer exclusive of taxes payable on products and inclusive of subsidies receivable on products, less intermediate consumption valued at purchasers' prices. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.
#> 16210 <NA>
#> 16211 Gross value added at basic prices reflects the price of products receivable by the producer exclusive of taxes payable on products and inclusive of subsidies receivable on products, less intermediate consumption valued at purchasers' prices. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment varies by country. This series is expressed in local currency units.
#> 16212 <NA>
#> 16213 Forest rents are roundwood harvest times the product of regional prices and a regional rental rate.
#> 16214 Mineral rents are the difference between the value of production for a stock of minerals at world prices and their total costs of production. Minerals included in the calculation are tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate.
#> 16215 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
#> 16216 The GDP deflator series based upon the U.S. dollar series is defined as the ratio of the GDP at market prices in current U.S. dollars) to the GDP at market prices in constant (2000) U.S. dollars.
#> 16217 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16218 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16219 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.
#> 16220 <NA>
#> 16221 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.
#> 16222 <NA>
#> 16223 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.
#> 16224 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment varies by country. This series is expressed in local currency units.
#> 16225 <NA>
#> 16226 <NA>
#> 16227 This indicator provides values for gross domestic product (GDP) expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16228 This indicator provides values for gross domestic product (GDP) expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16229 <NA>
#> 16230 <NA>
#> 16231 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country.
#> 16232 <NA>
#> 16233 Natural gas rents are the difference between the value of natural gas production at regional prices and total costs of production.
#> 16234 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
#> 16235 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16236 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.
#> 16237 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.
#> 16238 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment varies by country. This series is expressed in local currency units.
#> 16239 This indicator provides values for gross domestic product (GDP) per person expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. The core indicator has been divided by the general population to achieve a per capita estimate. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16240 This indicator provides values for gross domestic product (GDP) per person expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16241 <NA>
#> 16242 Annual percentage growth rate of GDP per capita based on purchasing power parity (PPP). GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2000 international dollars.
#> 16243 Oil rents are the difference between the value of crude oil production at regional prices and total costs of production.
#> 16244 Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.
#> 16251 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
#> 16252 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16253 Gross domestic savings are calculated as the difference between GDP and total consumption. Data are in constant 2000 U.S. dollars.
#> 16255 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in constant local currency.
#> 16257 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 16258 Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant 2010 U.S. dollars.
#> 16260 Real gross domestic income (real GDI) measures the purchasing power of the total incomes generated by domestic production. It is a concept that exists in real terms only. When the terms of trade change there may be a significant divergence between the movements of GDP in volume terms and real GDI. The difference between the change in GDP in volume terms and real GDI is generally described as the “trading gain” (or loss) or, to turn this round, the trading gain or loss from changes in the terms of trade is the difference between real GDI and GDP in volume terms. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment varies by country. This series is expressed in local currency units.
#> 16262 <NA>
#> 16263 <NA>
#> 16264 <NA>
#> 16265 <NA>
#> 16266 <NA>
#> 16267 <NA>
#> 16268 <NA>
#> 16269 <NA>
#> 16281 This indicator provides values for gross national income (GNI) expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16282 This indicator provides values for gross national income (GNI) expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16292 This indicator provides values for gross national income (GNI) per person expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. The core indicator has been divided by the general population to achieve a per capita estimate. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16293 This indicator provides values for gross national income (GNI) per person expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. The core indicator has been divided by the general population to achieve a per capita estimate. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16302 Savings is an amount that represents the part of disposable income (adjusted for the\n\n\n\n\n\n\n\n\nchange in pension entitlements) that is not spent on final consumption. Gross savings are calculated as gross national income less total consumption, plus net transfers. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 16340 GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.
#> 16341 <NA>
#> 16342 <NA>
#> 16343 <NA>
#> 16344 <NA>
#> 16420 The price level index (PLI) is the ratio of a purchasing power parity (PPP) conversion factor to the corresponding market exchange rate between two countries, expressed relative to a base country that is set equal to 100. For this series the base country is the United States. It provides a measure of the differences in price level between the country and the United States by indicating the number of units of the common currency (US dollars) needed to buy the same volume of the aggregation level in each country. At the level of GDP, the price level ratio provides a measure of the differences in the general price levels of countries.
#> 16421 The purchasing power parity (PPP) conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for the level of GDP and the base currency is the US dollar.
#> 16422 Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amounts of goods and services in the domestic market as U.S. dollar would buy in the United States. This conversion factor is for GDP. Historical estimates are provided for the 2005 benchmark year only. A separate series is available for extrapolated estimates based on the latest ICP round.
#> 16423 The price level ratio, or price level index, is the ratio of a purchasing power parity (PPP) conversion factor to the corresponding market exchange rate between two countries. For this series the base country is the United States. It provides a measure of the differences in price level between the country and the United States by indicating the number of units of the common currency (US dollars) needed to buy the same volume of the aggregation level in each country. At the level of GDP, the price level ratio provides a measure of the differences in the general price levels of countries.
#> 16425 The purchasing power parity (PPP) conversion factor is a currency conversion factor and a spatial price deflator. They convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for households and NPISHs Final consumption expenditure and the base currency is the US dollar.
#> 16484 <NA>
#> 16492 <NA>
#> 16517 <NA>
#> 16539 <NA>
#> 16548 <NA>
#> 16557 <NA>
#> 16562 <NA>
#> 16564 <NA>
#> 16565 <NA>
#> 16578 <NA>
#> 16594 <NA>
#> 16613 <NA>
#> 16624 <NA>
#> 16625 <NA>
#> 16627 <NA>
#> 16661 <NA>
#> 16678 <NA>
#> 16694 <NA>
#> 16775 <NA>
#> 16799 <NA>
#> 16804 <NA>
#> 16854 <NA>
#> 16871 <NA>
#> 16893 <NA>
#> 16897 <NA>
#> 16949 <NA>
#> 16965 <NA>
#> 16988 <NA>
#> 16992 <NA>
#> 17060 <NA>
#> 17120 <NA>
#> 17141 <NA>
#> 17142 <NA>
#> 17143 <NA>
#> 17144 <NA>
#> 17145 <NA>
#> 17200 <NA>
#> 17217 <NA>
#> 17249 <NA>
#> 17257 <NA>
#> 17277 <NA>
#> 17281 <NA>
#> 17304 <NA>
#> 17319 <NA>
#> 17324 <NA>
#> 21520 The General Allocation Grant (DAU) is a fund sourced from the Central Budget (APBN) allocated to bring equality in the financial capacity among the regions to finance the need of the regions in implementation of decentralization. It is a discretionary block grant designed to equalize the fiscal capacities of sub-national governments. DAU is allocated based on a national formula and is the sum of a basic allocation (which is a portion of the sub-national budget spending on public servant salaries) and the “fiscal gap” of the sub-national government. The “fiscal gap” is the difference between the estimated fiscal needs and fiscal capacity of each region. Fiscal needs are based on regional variables such as population, area, GDP per capita, and human development index. Fiscal capacity is measured by a region’s own-source revenue and a fraction of total revenue-sharing.
#> 24343 <NA>
#> 24716 <NA>
#> 24780 <NA>
#> 25007 <NA>
#> 25012 <NA>
#> 25013 Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
#> 25016 <NA>
#> 25017 Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
#> 25021 <NA>
#> 25022 Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
#> 25025 General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.
#> 25045 <NA>
#> 25939 Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).
#> 26083 Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.
#> 26092 Public expenditure on health from domestic sources as a share of the economy as measured by GDP.
#> 26096 <NA>
#> 26097 Level of capital investments on health expressed as a percentage of GDP. Capital health investments include health infrastructure (buildings, machinery, IT) and stocks of vaccines for emergency or outbreaks.
#> 26109 Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.
#> 26112 Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.
#> 26118 Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.
#> 26292 GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2021 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.
#> 26293 GDP per person employed is gross domestic product (GDP) divided by total employment in the economy.
#> 26294 GDP per person employed is presented as an index with base year 2000 = 100. GDP per person employed is gross domestic product (GDP) divided by total employment.
#> 27036 The industrial production data are compiled using the International Standard Industrial Classification of All Economic Activities (ISIC) Rev.4 and Statistical Classification of Economic Activities in the European Community (NACE) Rev.2. ISIC Rev.4 is a standard classification of economic activities arranged so that entities can be classified per the activity they carry out using criteria such as input, output and use of the products produced, more emphasis has been given to the character of the production process in defining and delineating ISIC classes for international comparability. The manual and classification have changed to cover the complete scope of industrial production, employment, and GDP and other statistical areas.
#> 27038 Classification of Individual Consumption According to Purpose (COICOP) is used in household budget surveys, consumer price indices and international comparisons of gross domestic product (GDP) and its component expenditures. Although COICOP is not strictly linked to any particular model of consumer behavior, the classification is designed to broadly reflect differences in income elasticities. It is an integral part of the SNA1993 and more detailed subdivision of the classes provide comparability between countries and between statistics in these different areas.
#> 27043 Indicator based on PARIS21 SDG indicators (SDG 17.18.3 (national statistical plan that is fully funded and under implementation) and SDG 17.19.1 (value of resources made available to strengthen statistical capacity)). Could also incorporate indicator of NSO budget as a percentage of GDP.
#> 27078 <NA>
#> 27079 General merchandise trade includes goods whose economic ownership is changed between a resident and a non-resident and that are not included in the following specific categories: goods under merchanting, non-monetary gold, and parts of travel, construction, and government goods and services n.i.e. It is the total of merchandise exports plus merchandise imports. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 27080 <NA>
#> 29287 Total general (local, regional and central) government expenditure on pre-primary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29288 Total general (local, regional and central) government expenditure on primary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29289 Total general (local, regional and central) government expenditure on lower secondary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29290 Total general (local, regional and central) government expenditure on secondary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29291 Total general (local, regional and central) government expenditure on secondary and post-secondary non-tertiary vocational education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29292 Total general (local, regional and central) government expenditure on upper secondary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29293 Total general (local, regional and central) government expenditure on post-secondary non-tertiary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29294 Total general (local, regional and central) government expenditure on tertiary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29295 Total general (local, regional and central) government expenditure on education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29296 Total general (local, regional and central) government expenditure on education (current, capital, and transfers) not specified by level, in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29307 Total general (local, regional and central) government expenditure on pre-primary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29308 Total general (local, regional and central) government expenditure on primary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29309 Total general (local, regional and central) government expenditure on lower secondary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29310 Total general (local, regional and central) government expenditure on secondary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29311 Total general (local, regional and central) government expenditure on secondary and post-secondary non-tertiary vocational education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29312 Total general (local, regional and central) government expenditure on upper secondary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29313 Total general (local, regional and central) government expenditure on post-secondary non-tertiary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29314 Total general (local, regional and central) government expenditure on tertiary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29315 Total general (local, regional and central) government expenditure on education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29316 Total general (local, regional and central) government expenditure on education (current, capital, and transfers) not specified by level in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29317 Total general (local, regional and central) government expenditure on pre-primary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29318 Total general (local, regional and central) government expenditure on primary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29319 Total general (local, regional and central) government expenditure on lower secondary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29320 Total general (local, regional and central) government expenditure on secondary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29321 Total general (local, regional and central) government expenditure on secondary and post-secondary non-tertiary vocational education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29322 Total general (local, regional and central) government expenditure on upper secondary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29323 Total general (local, regional and central) government expenditure on post-secondary non-tertiary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29324 Total general (local, regional and central) government expenditure on tertiary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29374 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29375 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29376 Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport) and purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes). 'Initial funding' means that government transfers to households, such as scholarships and other financial aid for education, are subtracted from what is spent by households. Note that in some countries for some education levels, the value of this indicator may be 0, since on average households may be receiving as much, or more, in financial aid from the government than what they are spending on education. Calculation: Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport), plus purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes), minus government education transfers to households (such as scholarships or other education-specific financial aid). When expressed as a share of GDP, this is then divided by the country's Gross Domestic Product (GDP). Limitations: Indicators for household expenditure on education should be interpreted with caution since data comes from household surveys which may not all follow the same definitions and concepts. These types of surveys are also not carried out in all countries with regularity, and for some categories (such as pupils in pre-primary education), the sample sizes may be low. In some cases where data on government transfers to households (scholarships and other financial aid) was not available, they could not be subtracted from amounts paid by households. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29377 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29378 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29379 Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport) and purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes). 'Initial funding' means that government transfers to households, such as scholarships and other financial aid for education, are subtracted from what is spent by households. Note that in some countries for some education levels, the value of this indicator may be 0, since on average households may be receiving as much, or more, in financial aid from the government than what they are spending on education. Calculation: Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport), plus purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes), minus government education transfers to households (such as scholarships or other education-specific financial aid). When expressed as a share of GDP, this is then divided by the country's Gross Domestic Product (GDP). Limitations: Indicators for household expenditure on education should be interpreted with caution since data comes from household surveys which may not all follow the same definitions and concepts. These types of surveys are also not carried out in all countries with regularity, and for some categories (such as pupils in pre-primary education), the sample sizes may be low. In some cases where data on government transfers to households (scholarships and other financial aid) was not available, they could not be subtracted from amounts paid by households. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29380 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29381 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29382 Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport) and purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes). 'Initial funding' means that government transfers to households, such as scholarships and other financial aid for education, are subtracted from what is spent by households. Note that in some countries for some education levels, the value of this indicator may be 0, since on average households may be receiving as much, or more, in financial aid from the government than what they are spending on education. Calculation: Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport), plus purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes), minus government education transfers to households (such as scholarships or other education-specific financial aid). When expressed as a share of GDP, this is then divided by the country's Gross Domestic Product (GDP). Limitations: Indicators for household expenditure on education should be interpreted with caution since data comes from household surveys which may not all follow the same definitions and concepts. These types of surveys are also not carried out in all countries with regularity, and for some categories (such as pupils in pre-primary education), the sample sizes may be low. In some cases where data on government transfers to households (scholarships and other financial aid) was not available, they could not be subtracted from amounts paid by households. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> source_organization
#> 689 World Development Indicators (World Bank)
#> 690 World Development Indicators (World Bank)
#> 691 World Development Indicators (World Bank)
#> 692 World Development Indicators (World Bank)
#> 2097 Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 2098 <NA>
#> 2099 <NA>
#> 2100 <NA>
#> 2101 <NA>
#> 2402 <NA>
#> 2425 <NA>
#> 2437 International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.
#> 2438 Balance of Payments database, International Monetary Fund (IMF), note: International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources.;\nUN Conference on Trade and Development (UNCTAD);\nOfficial national sources
#> 2451 Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 2452 <NA>
#> 2455 <NA>
#> 2458 World Bank country economists.
#> 2464 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 2473 World Bank country economists.
#> 2475 <NA>
#> 2481 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 2492 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 2541 <NA>
#> 2553 <NA>
#> 2555 International Financial Statistics and Balance of Payments databases, International Monetary Fund (IMF);\nInternational Debt Statistics, World Bank (WB);\nWorld Bank GDP estimates, World Bank (WB);\nOECD GDP estimates, Organisation for Economic Co-operation and Development (OECD)
#> 2564 World Bank staff estimates based on the International Monetary Fund's Balance of Payments Statistics Yearbook 2008, and World Bank and OECD GDP estimates.
#> 2570 Staff estimates, World Bank (WB);\nIMF balance of payments data, International Monetary Fund (IMF);\nWorld Bank GDP estimates, World Bank (WB);\nOECD GDP estimates, Organisation for Economic Co-operation and Development (OECD)
#> 2571 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 2868 Policy Instrument for the Environment Data Base, OECD. Available at: https://www.oecd.org/env/indicators-modelling-outlooks/policy-instrument-database/
#> 2869 <NA>
#> 2944 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 2945 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 2968 Rozenberg, Julie; Fay, Marianne. 2019. Beyond the Gap : How Countries Can Afford the Infrastructure They Need while Protecting the Planet. Sustainable Infrastructure;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/31291 License: CC BY 3.0 IGO
#> 2969 Rozenberg, Julie; Fay, Marianne. 2019. Beyond the Gap : How Countries Can Afford the Infrastructure They Need while Protecting the Planet. Sustainable Infrastructure;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/31291 License: CC BY 3.0 IGO
#> 2970 Rozenberg, Julie; Fay, Marianne. 2019. Beyond the Gap : How Countries Can Afford the Infrastructure They Need while Protecting the Planet. Sustainable Infrastructure;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/31291 License: CC BY 3.0 IGO
#> 3033 Hallegatte, Stephane; Vogt-Schilb, Adrien; Bangalore, Mook; Rozenberg, Julie. 2017. Unbreakable : Building the Resilience of the Poor in the Face of Natural Disasters. Climate Change and Development;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/25335 License: CC BY 3.0 IGO.
#> 3034 Hallegatte, Stephane; Vogt-Schilb, Adrien; Bangalore, Mook; Rozenberg, Julie. 2017. Unbreakable : Building the Resilience of the Poor in the Face of Natural Disasters. Climate Change and Development;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/25335 License: CC BY 3.0 IGO.
#> 3043 <NA>
#> 3136 <NA>
#> 3139 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 3142 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 4290 <NA>
#> 4293 <NA>
#> 4296 <NA>
#> 4299 <NA>
#> 4302 <NA>
#> 4307 <NA>
#> 4310 <NA>
#> 4313 <NA>
#> 4316 <NA>
#> 4319 <NA>
#> 4324 <NA>
#> 4327 <NA>
#> 4330 <NA>
#> 4333 <NA>
#> 4336 <NA>
#> 4341 <NA>
#> 4344 <NA>
#> 4347 <NA>
#> 4350 <NA>
#> 4353 <NA>
#> 4358 <NA>
#> 4361 <NA>
#> 4364 <NA>
#> 4367 <NA>
#> 4370 <NA>
#> 4375 <NA>
#> 4378 <NA>
#> 4381 <NA>
#> 4384 <NA>
#> 4387 <NA>
#> 4390 <NA>
#> 4393 <NA>
#> 4396 <NA>
#> 4399 <NA>
#> 4404 <NA>
#> 4407 <NA>
#> 4410 <NA>
#> 4413 <NA>
#> 4416 <NA>
#> 4421 <NA>
#> 4425 <NA>
#> 4427 <NA>
#> 4429 <NA>
#> 4431 <NA>
#> 4433 <NA>
#> 4435 <NA>
#> 4437 <NA>
#> 4439 <NA>
#> 4441 <NA>
#> 4443 <NA>
#> 4446 <NA>
#> 4449 <NA>
#> 4452 <NA>
#> 4455 <NA>
#> 4458 <NA>
#> 4461 <NA>
#> 4464 <NA>
#> 4467 <NA>
#> 4470 <NA>
#> 4475 <NA>
#> 4478 <NA>
#> 4481 <NA>
#> 4484 <NA>
#> 4487 <NA>
#> 4492 <NA>
#> 4495 <NA>
#> 4498 <NA>
#> 4501 <NA>
#> 4504 <NA>
#> 4509 <NA>
#> 4514 <NA>
#> 4517 <NA>
#> 4520 <NA>
#> 4523 <NA>
#> 4526 <NA>
#> 4529 <NA>
#> 4532 <NA>
#> 4535 <NA>
#> 4538 <NA>
#> 4543 <NA>
#> 4546 <NA>
#> 4549 <NA>
#> 4552 <NA>
#> 4555 <NA>
#> 4560 <NA>
#> 4565 <NA>
#> 4568 <NA>
#> 4571 <NA>
#> 4574 <NA>
#> 4577 <NA>
#> 4580 <NA>
#> 4583 <NA>
#> 4586 <NA>
#> 4589 <NA>
#> 4594 <NA>
#> 4597 <NA>
#> 4600 <NA>
#> 4603 <NA>
#> 4606 <NA>
#> 4611 <NA>
#> 4616 <NA>
#> 4619 <NA>
#> 4622 <NA>
#> 4625 <NA>
#> 4628 <NA>
#> 4631 <NA>
#> 4634 <NA>
#> 4637 <NA>
#> 4640 <NA>
#> 4645 <NA>
#> 4648 <NA>
#> 4651 <NA>
#> 4654 <NA>
#> 4657 <NA>
#> 4662 <NA>
#> 4667 <NA>
#> 4670 <NA>
#> 4673 <NA>
#> 4676 <NA>
#> 4679 <NA>
#> 4682 <NA>
#> 4685 <NA>
#> 4688 <NA>
#> 4691 <NA>
#> 4696 <NA>
#> 4701 <NA>
#> 4704 <NA>
#> 4707 <NA>
#> 4710 <NA>
#> 4713 <NA>
#> 4716 <NA>
#> 4719 <NA>
#> 4722 <NA>
#> 4725 <NA>
#> 4730 <NA>
#> 4733 <NA>
#> 4736 <NA>
#> 4739 <NA>
#> 4742 <NA>
#> 4747 <NA>
#> 4753 <NA>
#> 4756 <NA>
#> 4759 <NA>
#> 4762 <NA>
#> 4765 <NA>
#> 4770 <NA>
#> 4773 <NA>
#> 4776 <NA>
#> 4779 <NA>
#> 4782 <NA>
#> 4787 <NA>
#> 4790 <NA>
#> 4793 <NA>
#> 4796 <NA>
#> 4799 <NA>
#> 4804 <NA>
#> 4807 <NA>
#> 4810 <NA>
#> 4813 <NA>
#> 4816 <NA>
#> 4821 <NA>
#> 4824 <NA>
#> 4827 <NA>
#> 4830 <NA>
#> 4833 <NA>
#> 4838 <NA>
#> 4841 <NA>
#> 4844 <NA>
#> 4847 <NA>
#> 4850 <NA>
#> 5346 World Bank, Global Development Finance.
#> 5349 World Bank, Global Development Finance.
#> 5350 World Bank, Global Development Finance.
#> 5504 World Bank, Global Development Finance.
#> 7123 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank GDP estimates are used for the denominator.
#> 7194 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank gross domestic product estimates are used for the denominator.
#> 7199 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank gross domestic product estimates are used for the denominator.
#> 7207 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank gross domestic product estimates are used for the denominator.
#> 7213 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank GDP estimates are used for the denominator.
#> 7363 World Bank, Global Development Finance.
#> 7760 World Bank, Economic Fitness project. For more details, please visit https://www.nature.com/articles/srep00723 and http://documents.worldbank.org/curated/en/632611498503242103/On-the-predictability-of-growth
#> 7763 World Bank, Economic Fitness project. For more details please visit the following links. The Fitness and Complexity algorithm has been introduced in: https://www.nature.com/articles/srep00723 For a detailed discussion of the data preprocessing, the computation of the universal fitness, and the economical implications: http://documents.worldbank.org/curated/en/309521529586431853/Integrating-services-in-the-economic-fitness-approach The convergence criterion of the Fitness and Complexity algorithm is discussed in: https://link.springer.com/article/10.1140/epjst/e2015-50118-1
#> 7767 Tracking SDG 7: The Energy Progress Report, International Energy Agency (IEA), note: License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO);\nInternational Renewable Energy Agency (IRENA), note: Tracking SDG 7: The Energy Progress Report;\nUnited Nations (UN), note: Tracking SDG 7: The Energy Progress Report, publisher: UN Statistics Division;\nWorld Bank (WB), note: Tracking SDG 7: The Energy Progress Report;\nWorld Health Organization (WHO), note: Tracking SDG 7: The Energy Progress Report
#> 7791 <NA>
#> 7792 <NA>
#> 7793 IEA Energy Statistics Data Browser, International Energy Agency (IEA), uri: https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser, publisher: International Energy Agency (IEA), date accessed: 2025-03-25
#> 7794 IEA Energy Statistics Data Browser, International Energy Agency (IEA), uri: https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser, publisher: International Energy Agency (IEA), date accessed: 2025-03-25
#> 7802 IEA Energy Statistics Data Browser, International Energy Agency (IEA), uri: https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser, publisher: International Energy Agency (IEA), date accessed: 2025-03-25
#> 7921 <NA>
#> 7925 <NA>
#> 7926 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.KD for the denominator's source.
#> 7931 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.PP.CD for the denominator's source.
#> 7932 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.PP.KD for the denominator's source.
#> 8017 EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission, uri: https://edgar.jrc.ec.europa.eu/dataset_ghg2024, publisher: JRC European Commission, date published: 2024;\nInternational Energy Agency (IEA), uri: https://edgar.jrc.ec.europa.eu/dataset_ghg2024, publisher: JRC European Commission, date published: 2024
#> 8018 EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission, uri: https://edgar.jrc.ec.europa.eu/dataset_ghg2024, publisher: JRC European Commission, date published: 2024;\nInternational Energy Agency (IEA), uri: https://edgar.jrc.ec.europa.eu/dataset_ghg2024, publisher: JRC European Commission, date published: 2024
#> 8101 AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO), publisher: Food and Agriculture Organization of the United Nations (FAO);\nWorld Bank GDP estimates, World Bank (WB), publisher: World Bank (WB);\nOECD GDP estimates, Organisation for Economic Co-operation and Development (OECD), publisher: Organisation for Economic Co-operation and Development (OECD)
#> 8119 <NA>
#> 8173 <NA>
#> 8526 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 8635 International Monetary Fund, International Financial Statistics and data files.
#> 10994 "International Monetary Fund.\r"
#> 11003 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11012 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11019 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11020 <NA>
#> 11022 <NA>
#> 11027 <NA>
#> 11028 <NA>
#> 11084 International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.
#> 11093 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators, World Bank (WB)
#> 11098 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11099 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11100 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11101 <NA>
#> 11103 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11104 <NA>
#> 11105 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11106 <NA>
#> 11107 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11170 <NA>
#> 11171 <NA>
#> 11180 <NA>
#> 11181 <NA>
#> 11185 <NA>
#> 11186 <NA>
#> 11190 <NA>
#> 11191 <NA>
#> 11201 <NA>
#> 11204 <NA>
#> 11206 World Bank country economists.
#> 11209 <NA>
#> 11211 <NA>
#> 11213 <NA>
#> 11214 <NA>
#> 11217 <NA>
#> 11218 <NA>
#> 11219 <NA>
#> 11220 <NA>
#> 11245 <NA>
#> 11246 <NA>
#> 11264 <NA>
#> 11267 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources/bulk, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2025-03-26, date published: 2025-02
#> 11270 <NA>
#> 11271 <NA>
#> 11278 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11281 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11286 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11290 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11292 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11294 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11296 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11298 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11309 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11324 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11341 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF);\nWorld Development Indicators, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11584 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11585 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11586 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11588 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11589 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11590 World Bank - Non banking financial database
#> 11591 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11592 Sigma Reports, Swiss Re
#> 11593 Sigma Reports, Swiss Re
#> 11594 Nonbanking financial database, World Bank
#> 11595 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11596 Nonbanking financial database, World Bank
#> 11597 World Development Indicators (WDI), World Bank
#> 11598 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 11599 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 11600 Bank for International Settlements (BIS)
#> 11601 Bank for International Settlements (BIS)
#> 11602 Bank for International Settlements (BIS)
#> 11603 Bank for International Settlements (BIS)
#> 11604 Bank for International Settlements (BIS)
#> 11605 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11606 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11607 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11608 <NA>
#> 11609 <NA>
#> 11610 <NA>
#> 11613 <NA>
#> 11621 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11626 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11629 Bank for International Settlements (BIS)
#> 11630 Bank for International Settlements (BIS)
#> 11634 World Development Indicators (WDI), World Bank
#> 11635 Consolidated banking statistics, Bank for International Settlements (BIS)
#> 11639 White Clarke Global Leasing Report
#> 11640 Factors Chain International
#> 11641 Luc Laeven and Fabián Valencia, 2012. “Systemic Banking Crises Database: An Update”, IMF Working Paper WP/12/163
#> 12921 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 12935 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 13104 World Information Technology and Services Alliance, Digital Planet: The Global Information Economy, and Global Insight, Inc.
#> 13171 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13172 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13173 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13174 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13175 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13176 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13453 <NA>
#> 13455 <NA>
#> 13563 International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.
#> 15571 Mo Ibrahim Foundation, electronic files and web site.
#> 15595 SIPRI Military Expenditure Database, Stockholm International Peace Research Institute (SIPRI), uri: https://www.sipri.org/databases
#> 15600 <NA>
#> 15601 <NA>
#> 15602 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15603 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15604 <NA>
#> 15605 <NA>
#> 15606 <NA>
#> 15607 <NA>
#> 15608 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15609 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15610 <NA>
#> 15611 <NA>
#> 15612 <NA>
#> 15613 <NA>
#> 15614 <NA>
#> 15615 <NA>
#> 15616 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15617 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15618 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15619 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15620 <NA>
#> 15621 <NA>
#> 15622 <NA>
#> 15623 <NA>
#> 15624 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15625 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15626 <NA>
#> 15627 <NA>
#> 15628 <NA>
#> 15629 <NA>
#> 15630 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15631 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15632 <NA>
#> 15633 <NA>
#> 15634 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15635 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15636 <NA>
#> 15637 <NA>
#> 15638 <NA>
#> 15639 <NA>
#> 15640 <NA>
#> 15641 <NA>
#> 15642 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15643 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15644 <NA>
#> 15645 <NA>
#> 15646 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15647 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15648 <NA>
#> 15649 <NA>
#> 15650 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15651 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15652 <NA>
#> 15653 <NA>
#> 15654 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15655 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15656 <NA>
#> 15657 <NA>
#> 15666 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 15668 International Comparison Program (ICP), World Bank (WB), note: This information is for PPP conversion factors., publisher: International Comparison Program (ICP), date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, note: This information is for PPP conversion factors., publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB), note: This information is for households and NPISHs Final consumption expenditure per capita.;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD), note: This information is for households and NPISHs Final consumption expenditure per capita.;\nWorld Economic Outlook database, International Monetary Fund (IMF), note: This information is for households and NPISHs Final consumption expenditure per capita.
#> 15669 International Comparison Program (ICP), World Bank (WB), note: This information is for PPP conversion factors., publisher: International Comparison Program (ICP), date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, note: This information is for PPP conversion factors., publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, note: This information is for PPP conversion factors., publisher: OECD;\nStaff estimates, World Bank (WB), note: This information is for households and NPISHs Final consumption expenditure per capita.;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD), note: This information is for households and NPISHs Final consumption expenditure per capita.;\nWorld Economic Outlook database, International Monetary Fund (IMF), note: This information is for households and NPISHs Final consumption expenditure per capita.
#> 15679 World Bank national accounts data, and OECD National Accounts data files.
#> 15694 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 15695 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 15696 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15706 World Bank national accounts data, and OECD National Accounts data files.
#> 15714 <NA>
#> 15715 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15725 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15737 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 15739 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15740 <NA>
#> 15741 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15742 <NA>
#> 15743 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15744 <NA>
#> 15745 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15746 <NA>
#> 15771 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15776 World Bank national accounts data, and OECD National Accounts data files.
#> 15779 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15786 <NA>
#> 15787 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15788 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15789 <NA>
#> 15790 <NA>
#> 15795 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15799 <NA>
#> 15808 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15815 <NA>
#> 15816 <NA>
#> 15817 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15827 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 15828 World Bank country economists.
#> 15834 <NA>
#> 15835 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15838 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15902 <NA>
#> 15906 <NA>
#> 15912 <NA>
#> 15920 World Bank country economists.
#> 15930 World Bank country economists.
#> 15931 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15951 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 15965 <NA>
#> 15966 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 15984 World Bank national accounts data, and OECD National Accounts data files.
#> 15985 World Bank national accounts data, and OECD National Accounts data files.
#> 15986 World Bank national accounts data, and OECD National Accounts data files.
#> 16003 <NA>
#> 16004 World Bank national accounts data, and OECD National Accounts data files.
#> 16010 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 16021 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16023 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16025 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16027 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16029 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16031 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16033 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16035 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16039 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16041 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16055 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16057 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16063 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16065 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16083 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16085 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16125 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16127 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16129 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16131 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16133 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16135 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16137 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16139 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16145 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16147 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16153 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16156 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16159 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16161 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16193 Organisation for Economic Co-operation and Development, Producer and Consumer Support Estimates database. Available online at www.oecd.org/tad/support/psecse.
#> 16197 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16198 <NA>
#> 16199 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 16200 Staff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16201 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16202 <NA>
#> 16203 Staff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16204 World Bank national accounts data, and OECD National Accounts data files.
#> 16205 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16206 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16207 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 16208 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16209 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16210 <NA>
#> 16211 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 16212 <NA>
#> 16213 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16214 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16215 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16216 World Bank country economists.
#> 16217 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16218 Staff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16219 World Bank country economists.
#> 16220 <NA>
#> 16221 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16222 <NA>
#> 16223 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16224 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16225 <NA>
#> 16226 <NA>
#> 16227 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat, date accessed: Periodical update;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-https://data-explorer.oecd.org/, publisher: OECD, date accessed: Periodical update;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16228 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16229 <NA>
#> 16230 <NA>
#> 16231 World Bank national accounts data, and OECD National Accounts data files.
#> 16232 <NA>
#> 16233 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16234 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16235 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16236 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16237 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16238 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16239 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16240 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16241 <NA>
#> 16242 "World Bank, International Comparison Programme database.\r"
#> 16243 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16244 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16251 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16252 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16253 World Bank country economists.
#> 16255 World Bank national accounts data, and OECD National Accounts data files.
#> 16257 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16258 World Bank national accounts data, and OECD National Accounts data files.
#> 16260 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16262 <NA>
#> 16263 <NA>
#> 16264 <NA>
#> 16265 <NA>
#> 16266 <NA>
#> 16267 <NA>
#> 16268 <NA>
#> 16269 <NA>
#> 16281 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16282 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16292 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16293 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16302 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 16340 The World Bank
#> 16341 <NA>
#> 16342 <NA>
#> 16343 <NA>
#> 16344 <NA>
#> 16420 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators
#> 16421 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, publisher: International Comparison Program, type: International statistical program, date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat, type: International statistical program;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-https://data-explorer.oecd.org/, publisher: OECD
#> 16422 World Bank, International Comparison Program database.
#> 16423 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators, type: International database
#> 16425 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, publisher: International Comparison Program, type: International statistical program, date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat, type: International statistical program;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-https://data-explorer.oecd.org/, publisher: OECD
#> 16484 <NA>
#> 16492 <NA>
#> 16517 <NA>
#> 16539 <NA>
#> 16548 <NA>
#> 16557 <NA>
#> 16562 <NA>
#> 16564 <NA>
#> 16565 <NA>
#> 16578 <NA>
#> 16594 <NA>
#> 16613 <NA>
#> 16624 <NA>
#> 16625 <NA>
#> 16627 <NA>
#> 16661 <NA>
#> 16678 <NA>
#> 16694 <NA>
#> 16775 <NA>
#> 16799 <NA>
#> 16804 <NA>
#> 16854 <NA>
#> 16871 <NA>
#> 16893 <NA>
#> 16897 <NA>
#> 16949 <NA>
#> 16965 <NA>
#> 16988 <NA>
#> 16992 <NA>
#> 17060 <NA>
#> 17120 <NA>
#> 17141 <NA>
#> 17142 <NA>
#> 17143 <NA>
#> 17144 <NA>
#> 17145 <NA>
#> 17200 <NA>
#> 17217 <NA>
#> 17249 <NA>
#> 17257 <NA>
#> 17277 <NA>
#> 17281 <NA>
#> 17304 <NA>
#> 17319 <NA>
#> 17324 <NA>
#> 21520 Ministry of Finance, SIKD (Information System for Sub-National Budget) and LKPP (Central Government Financial Report)
#> 24343 <NA>
#> 24716 World Bank, Global Education Policy Dashboard
#> 24780 World Bank, Global Education Policy Dashboard
#> 25007 <NA>
#> 25012 <NA>
#> 25013 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25016 <NA>
#> 25017 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25021 <NA>
#> 25022 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25025 Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
#> 25045 <NA>
#> 25939 Trends in Maternal Mortality, World Health Organization (WHO), uri: https://www.who.int/news/item/23-02-2023-a-woman-dies-every-two-minutes-due-to-pregnancy-or-childbirth--un-agencies;\nUN Children's Fund (UNICEF), note: Trends in Maternal Mortality;\nUN Population Fund (UNFPA), note: Trends in Maternal Mortality;\nWorld Bank Group (WBG), note: Trends in Maternal Mortality
#> 26083 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: https://apps.who.int/nha/database
#> 26092 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: http://apps.who.int/nha/database
#> 26096 <NA>
#> 26097 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 7, 2023.
#> 26109 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26112 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26118 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26292 Staff estimates, World Bank (WB), note: Estimates are based on employment, population, GDP, and PPP data obtained from International Labour Organization, United Nations Population Division, Eurostat, OECD, and World Bank., type: estimates based on external database;\nInternational Labour Organization (ILO);\nUnited Nations (UN), publisher: UN Population Division;\nEurostat (ESTAT);\nOrganisation for Economic Co-operation and Development (OECD);\nWorld Development Indicators database, World Bank (WB)
#> 26293 International Labour Organization, Key Indicators of the Labour Market database.
#> 26294 Derived using data from International Labour Organization, ILOSTAT database. The data retrieved in March 1, 2020.
#> 27036 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27038 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27043 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27078 <NA>
#> 27079 World Trade Organization (WTO);\nWorld Bank GDP estimates, World Bank (WB);\nWorld Development Indicators, World Bank (WB)
#> 27080 <NA>
#> 29287 UNESCO Institute for Statistics
#> 29288 UNESCO Institute for Statistics
#> 29289 UNESCO Institute for Statistics
#> 29290 UNESCO Institute for Statistics
#> 29291 UNESCO Institute for Statistics
#> 29292 UNESCO Institute for Statistics
#> 29293 UNESCO Institute for Statistics
#> 29294 UNESCO Institute for Statistics
#> 29295 UNESCO Institute for Statistics
#> 29296 UNESCO Institute for Statistics
#> 29307 UNESCO Institute for Statistics
#> 29308 UNESCO Institute for Statistics
#> 29309 UNESCO Institute for Statistics
#> 29310 UNESCO Institute for Statistics
#> 29311 UNESCO Institute for Statistics
#> 29312 UNESCO Institute for Statistics
#> 29313 UNESCO Institute for Statistics
#> 29314 UNESCO Institute for Statistics
#> 29315 UNESCO Institute for Statistics
#> 29316 UNESCO Institute for Statistics
#> 29317 UNESCO Institute for Statistics
#> 29318 UNESCO Institute for Statistics
#> 29319 UNESCO Institute for Statistics
#> 29320 UNESCO Institute for Statistics
#> 29321 UNESCO Institute for Statistics
#> 29322 UNESCO Institute for Statistics
#> 29323 UNESCO Institute for Statistics
#> 29324 UNESCO Institute for Statistics
#> 29374 UNESCO Institute for Statistics
#> 29375 UNESCO Institute for Statistics
#> 29376 UNESCO Institute for Statistics
#> 29377 UNESCO Institute for Statistics
#> 29378 UNESCO Institute for Statistics
#> 29379 UNESCO Institute for Statistics
#> 29380 UNESCO Institute for Statistics
#> 29381 UNESCO Institute for Statistics
#> 29382 UNESCO Institute for Statistics
#> topic_id topic_value
#> 689 3 Economy & Growth
#> 690 3 Economy & Growth
#> 691 3 Economy & Growth
#> 692 3 Economy & Growth
#> 2097 3 Economy & Growth
#> 2098 NA <NA>
#> 2099 NA <NA>
#> 2100 NA <NA>
#> 2101 NA <NA>
#> 2402 NA <NA>
#> 2425 NA <NA>
#> 2437 NA <NA>
#> 2438 3 Economy & Growth
#> 2451 3 Economy & Growth
#> 2452 NA <NA>
#> 2455 NA <NA>
#> 2458 NA <NA>
#> 2464 NA <NA>
#> 2473 NA <NA>
#> 2475 NA <NA>
#> 2481 3 Economy & Growth
#> 2492 NA <NA>
#> 2541 NA <NA>
#> 2553 NA <NA>
#> 2555 3 Economy & Growth
#> 2564 NA <NA>
#> 2570 3 Economy & Growth
#> 2571 NA <NA>
#> 2868 NA <NA>
#> 2869 NA <NA>
#> 2944 NA <NA>
#> 2945 NA <NA>
#> 2968 NA <NA>
#> 2969 NA <NA>
#> 2970 NA <NA>
#> 3033 NA <NA>
#> 3034 NA <NA>
#> 3043 NA <NA>
#> 3136 NA <NA>
#> 3139 7 Financial Sector
#> 3142 7 Financial Sector
#> 4290 NA <NA>
#> 4293 NA <NA>
#> 4296 NA <NA>
#> 4299 NA <NA>
#> 4302 NA <NA>
#> 4307 NA <NA>
#> 4310 NA <NA>
#> 4313 NA <NA>
#> 4316 NA <NA>
#> 4319 NA <NA>
#> 4324 NA <NA>
#> 4327 NA <NA>
#> 4330 NA <NA>
#> 4333 NA <NA>
#> 4336 NA <NA>
#> 4341 NA <NA>
#> 4344 NA <NA>
#> 4347 NA <NA>
#> 4350 NA <NA>
#> 4353 NA <NA>
#> 4358 NA <NA>
#> 4361 NA <NA>
#> 4364 NA <NA>
#> 4367 NA <NA>
#> 4370 NA <NA>
#> 4375 NA <NA>
#> 4378 NA <NA>
#> 4381 NA <NA>
#> 4384 NA <NA>
#> 4387 NA <NA>
#> 4390 NA <NA>
#> 4393 NA <NA>
#> 4396 NA <NA>
#> 4399 NA <NA>
#> 4404 NA <NA>
#> 4407 NA <NA>
#> 4410 NA <NA>
#> 4413 NA <NA>
#> 4416 NA <NA>
#> 4421 NA <NA>
#> 4425 NA <NA>
#> 4427 NA <NA>
#> 4429 NA <NA>
#> 4431 NA <NA>
#> 4433 NA <NA>
#> 4435 NA <NA>
#> 4437 NA <NA>
#> 4439 NA <NA>
#> 4441 NA <NA>
#> 4443 NA <NA>
#> 4446 NA <NA>
#> 4449 NA <NA>
#> 4452 NA <NA>
#> 4455 NA <NA>
#> 4458 NA <NA>
#> 4461 NA <NA>
#> 4464 NA <NA>
#> 4467 NA <NA>
#> 4470 NA <NA>
#> 4475 NA <NA>
#> 4478 NA <NA>
#> 4481 NA <NA>
#> 4484 NA <NA>
#> 4487 NA <NA>
#> 4492 NA <NA>
#> 4495 NA <NA>
#> 4498 NA <NA>
#> 4501 NA <NA>
#> 4504 NA <NA>
#> 4509 NA <NA>
#> 4514 NA <NA>
#> 4517 NA <NA>
#> 4520 NA <NA>
#> 4523 NA <NA>
#> 4526 NA <NA>
#> 4529 NA <NA>
#> 4532 NA <NA>
#> 4535 NA <NA>
#> 4538 NA <NA>
#> 4543 NA <NA>
#> 4546 NA <NA>
#> 4549 NA <NA>
#> 4552 NA <NA>
#> 4555 NA <NA>
#> 4560 NA <NA>
#> 4565 NA <NA>
#> 4568 NA <NA>
#> 4571 NA <NA>
#> 4574 NA <NA>
#> 4577 NA <NA>
#> 4580 NA <NA>
#> 4583 NA <NA>
#> 4586 NA <NA>
#> 4589 NA <NA>
#> 4594 NA <NA>
#> 4597 NA <NA>
#> 4600 NA <NA>
#> 4603 NA <NA>
#> 4606 NA <NA>
#> 4611 NA <NA>
#> 4616 NA <NA>
#> 4619 NA <NA>
#> 4622 NA <NA>
#> 4625 NA <NA>
#> 4628 NA <NA>
#> 4631 NA <NA>
#> 4634 NA <NA>
#> 4637 NA <NA>
#> 4640 NA <NA>
#> 4645 NA <NA>
#> 4648 NA <NA>
#> 4651 NA <NA>
#> 4654 NA <NA>
#> 4657 NA <NA>
#> 4662 NA <NA>
#> 4667 NA <NA>
#> 4670 NA <NA>
#> 4673 NA <NA>
#> 4676 NA <NA>
#> 4679 NA <NA>
#> 4682 NA <NA>
#> 4685 NA <NA>
#> 4688 NA <NA>
#> 4691 NA <NA>
#> 4696 NA <NA>
#> 4701 NA <NA>
#> 4704 NA <NA>
#> 4707 NA <NA>
#> 4710 NA <NA>
#> 4713 NA <NA>
#> 4716 NA <NA>
#> 4719 NA <NA>
#> 4722 NA <NA>
#> 4725 NA <NA>
#> 4730 NA <NA>
#> 4733 NA <NA>
#> 4736 NA <NA>
#> 4739 NA <NA>
#> 4742 NA <NA>
#> 4747 NA <NA>
#> 4753 NA <NA>
#> 4756 NA <NA>
#> 4759 NA <NA>
#> 4762 NA <NA>
#> 4765 NA <NA>
#> 4770 NA <NA>
#> 4773 NA <NA>
#> 4776 NA <NA>
#> 4779 NA <NA>
#> 4782 NA <NA>
#> 4787 NA <NA>
#> 4790 NA <NA>
#> 4793 NA <NA>
#> 4796 NA <NA>
#> 4799 NA <NA>
#> 4804 NA <NA>
#> 4807 NA <NA>
#> 4810 NA <NA>
#> 4813 NA <NA>
#> 4816 NA <NA>
#> 4821 NA <NA>
#> 4824 NA <NA>
#> 4827 NA <NA>
#> 4830 NA <NA>
#> 4833 NA <NA>
#> 4838 NA <NA>
#> 4841 NA <NA>
#> 4844 NA <NA>
#> 4847 NA <NA>
#> 4850 NA <NA>
#> 5346 NA <NA>
#> 5349 NA <NA>
#> 5350 NA <NA>
#> 5504 NA <NA>
#> 7123 NA <NA>
#> 7194 NA <NA>
#> 7199 NA <NA>
#> 7207 NA <NA>
#> 7213 NA <NA>
#> 7363 NA <NA>
#> 7760 NA <NA>
#> 7763 NA <NA>
#> 7767 5 Energy & Mining
#> 7791 NA <NA>
#> 7792 NA <NA>
#> 7793 5 Energy & Mining
#> 7794 5 Energy & Mining
#> 7802 5 Energy & Mining
#> 7921 NA <NA>
#> 7925 NA <NA>
#> 7926 19 Climate Change
#> 7931 19 Climate Change
#> 7932 19 Climate Change
#> 8017 6 Environment
#> 8018 6 Environment
#> 8101 6 Environment
#> 8119 NA <NA>
#> 8173 NA <NA>
#> 8526 7 Financial Sector
#> 8635 NA <NA>
#> 10994 NA <NA>
#> 11003 7 Financial Sector
#> 11012 7 Financial Sector
#> 11019 NA <NA>
#> 11020 NA <NA>
#> 11022 NA <NA>
#> 11027 NA <NA>
#> 11028 NA <NA>
#> 11084 NA <NA>
#> 11093 7 Financial Sector
#> 11098 7 Financial Sector
#> 11099 7 Financial Sector
#> 11100 7 Financial Sector
#> 11101 NA <NA>
#> 11103 7 Financial Sector
#> 11104 NA <NA>
#> 11105 NA <NA>
#> 11106 NA <NA>
#> 11107 NA <NA>
#> 11170 NA <NA>
#> 11171 NA <NA>
#> 11180 NA <NA>
#> 11181 NA <NA>
#> 11185 NA <NA>
#> 11186 NA <NA>
#> 11190 NA <NA>
#> 11191 NA <NA>
#> 11201 NA <NA>
#> 11204 NA <NA>
#> 11206 NA <NA>
#> 11209 NA <NA>
#> 11211 NA <NA>
#> 11213 NA <NA>
#> 11214 NA <NA>
#> 11217 NA <NA>
#> 11218 NA <NA>
#> 11219 NA <NA>
#> 11220 NA <NA>
#> 11245 NA <NA>
#> 11246 NA <NA>
#> 11264 NA <NA>
#> 11267 14 Science & Technology
#> 11270 NA <NA>
#> 11271 NA <NA>
#> 11278 13 Public Sector
#> 11281 NA <NA>
#> 11286 3 Economy & Growth
#> 11290 NA <NA>
#> 11292 NA <NA>
#> 11294 13 Public Sector
#> 11296 13 Public Sector
#> 11298 13 Public Sector
#> 11309 3 Economy & Growth
#> 11324 13 Public Sector
#> 11341 3 Economy & Growth
#> 11584 7 Financial Sector
#> 11585 7 Financial Sector
#> 11586 7 Financial Sector
#> 11588 7 Financial Sector
#> 11589 7 Financial Sector
#> 11590 7 Financial Sector
#> 11591 7 Financial Sector
#> 11592 7 Financial Sector
#> 11593 7 Financial Sector
#> 11594 7 Financial Sector
#> 11595 7 Financial Sector
#> 11596 7 Financial Sector
#> 11597 7 Financial Sector
#> 11598 7 Financial Sector
#> 11599 7 Financial Sector
#> 11600 7 Financial Sector
#> 11601 7 Financial Sector
#> 11602 7 Financial Sector
#> 11603 7 Financial Sector
#> 11604 7 Financial Sector
#> 11605 7 Financial Sector
#> 11606 7 Financial Sector
#> 11607 7 Financial Sector
#> 11608 NA <NA>
#> 11609 NA <NA>
#> 11610 NA <NA>
#> 11613 NA <NA>
#> 11621 7 Financial Sector
#> 11626 7 Financial Sector
#> 11629 7 Financial Sector
#> 11630 7 Financial Sector
#> 11634 7 Financial Sector
#> 11635 7 Financial Sector
#> 11639 7 Financial Sector
#> 11640 7 Financial Sector
#> 11641 7 Financial Sector
#> 12921 NA <NA>
#> 12935 NA <NA>
#> 13104 9 Infrastructure
#> 13171 NA <NA>
#> 13172 NA <NA>
#> 13173 NA <NA>
#> 13174 NA <NA>
#> 13175 NA <NA>
#> 13176 NA <NA>
#> 13453 NA <NA>
#> 13455 NA <NA>
#> 13563 9 Infrastructure
#> 15571 NA <NA>
#> 15595 13 Public Sector
#> 15600 NA <NA>
#> 15601 NA <NA>
#> 15602 NA <NA>
#> 15603 NA <NA>
#> 15604 NA <NA>
#> 15605 NA <NA>
#> 15606 NA <NA>
#> 15607 NA <NA>
#> 15608 NA <NA>
#> 15609 NA <NA>
#> 15610 NA <NA>
#> 15611 NA <NA>
#> 15612 NA <NA>
#> 15613 NA <NA>
#> 15614 NA <NA>
#> 15615 NA <NA>
#> 15616 NA <NA>
#> 15617 NA <NA>
#> 15618 NA <NA>
#> 15619 NA <NA>
#> 15620 NA <NA>
#> 15621 NA <NA>
#> 15622 NA <NA>
#> 15623 NA <NA>
#> 15624 NA <NA>
#> 15625 NA <NA>
#> 15626 NA <NA>
#> 15627 NA <NA>
#> 15628 NA <NA>
#> 15629 NA <NA>
#> 15630 NA <NA>
#> 15631 NA <NA>
#> 15632 NA <NA>
#> 15633 NA <NA>
#> 15634 NA <NA>
#> 15635 NA <NA>
#> 15636 NA <NA>
#> 15637 NA <NA>
#> 15638 NA <NA>
#> 15639 NA <NA>
#> 15640 NA <NA>
#> 15641 NA <NA>
#> 15642 NA <NA>
#> 15643 NA <NA>
#> 15644 NA <NA>
#> 15645 NA <NA>
#> 15646 NA <NA>
#> 15647 NA <NA>
#> 15648 NA <NA>
#> 15649 NA <NA>
#> 15650 NA <NA>
#> 15651 NA <NA>
#> 15652 NA <NA>
#> 15653 NA <NA>
#> 15654 NA <NA>
#> 15655 NA <NA>
#> 15656 NA <NA>
#> 15657 NA <NA>
#> 15666 3 Economy & Growth
#> 15668 NA <NA>
#> 15669 NA <NA>
#> 15679 3 Economy & Growth
#> 15694 3 Economy & Growth
#> 15695 3 Economy & Growth
#> 15696 3 Economy & Growth
#> 15706 3 Economy & Growth
#> 15714 NA <NA>
#> 15715 3 Economy & Growth
#> 15725 3 Economy & Growth
#> 15737 3 Economy & Growth
#> 15739 NA <NA>
#> 15740 NA <NA>
#> 15741 NA <NA>
#> 15742 NA <NA>
#> 15743 NA <NA>
#> 15744 NA <NA>
#> 15745 NA <NA>
#> 15746 NA <NA>
#> 15771 3 Economy & Growth
#> 15776 NA <NA>
#> 15779 NA <NA>
#> 15786 NA <NA>
#> 15787 3 Economy & Growth
#> 15788 NA <NA>
#> 15789 NA <NA>
#> 15790 NA <NA>
#> 15795 NA <NA>
#> 15799 NA <NA>
#> 15808 NA <NA>
#> 15815 NA <NA>
#> 15816 NA <NA>
#> 15817 3 Economy & Growth
#> 15827 3 Economy & Growth
#> 15828 NA <NA>
#> 15834 NA <NA>
#> 15835 3 Economy & Growth
#> 15838 3 Economy & Growth
#> 15902 NA <NA>
#> 15906 NA <NA>
#> 15912 NA <NA>
#> 15920 NA <NA>
#> 15930 NA <NA>
#> 15931 1 Agriculture & Rural Development
#> 15951 3 Economy & Growth
#> 15965 NA <NA>
#> 15966 3 Economy & Growth
#> 15984 NA <NA>
#> 15985 NA <NA>
#> 15986 NA <NA>
#> 16003 NA <NA>
#> 16004 3 Economy & Growth
#> 16010 3 Economy & Growth
#> 16021 NA <NA>
#> 16023 NA <NA>
#> 16025 NA <NA>
#> 16027 NA <NA>
#> 16029 NA <NA>
#> 16031 NA <NA>
#> 16033 NA <NA>
#> 16035 NA <NA>
#> 16039 NA <NA>
#> 16041 NA <NA>
#> 16055 NA <NA>
#> 16057 NA <NA>
#> 16063 NA <NA>
#> 16065 NA <NA>
#> 16083 NA <NA>
#> 16085 NA <NA>
#> 16125 NA <NA>
#> 16127 NA <NA>
#> 16129 NA <NA>
#> 16131 NA <NA>
#> 16133 NA <NA>
#> 16135 NA <NA>
#> 16137 NA <NA>
#> 16139 NA <NA>
#> 16145 NA <NA>
#> 16147 NA <NA>
#> 16153 NA <NA>
#> 16156 NA <NA>
#> 16159 NA <NA>
#> 16161 NA <NA>
#> 16193 18 Millenium development goals
#> 16197 6 Environment
#> 16198 NA <NA>
#> 16199 3 Economy & Growth
#> 16200 7 Financial Sector
#> 16201 3 Economy & Growth
#> 16202 NA <NA>
#> 16203 7 Financial Sector
#> 16204 NA <NA>
#> 16205 3 Economy & Growth
#> 16206 3 Economy & Growth
#> 16207 3 Economy & Growth
#> 16208 3 Economy & Growth
#> 16209 3 Economy & Growth
#> 16210 NA <NA>
#> 16211 3 Economy & Growth
#> 16212 NA <NA>
#> 16213 6 Environment
#> 16214 5 Energy & Mining
#> 16215 3 Economy & Growth
#> 16216 NA <NA>
#> 16217 3 Economy & Growth
#> 16218 3 Economy & Growth
#> 16219 NA <NA>
#> 16220 NA <NA>
#> 16221 3 Economy & Growth
#> 16222 NA <NA>
#> 16223 3 Economy & Growth
#> 16224 3 Economy & Growth
#> 16225 NA <NA>
#> 16226 NA <NA>
#> 16227 3 Economy & Growth
#> 16228 3 Economy & Growth
#> 16229 NA <NA>
#> 16230 NA <NA>
#> 16231 NA <NA>
#> 16232 NA <NA>
#> 16233 5 Energy & Mining
#> 16234 3 Economy & Growth
#> 16235 3 Economy & Growth
#> 16236 3 Economy & Growth
#> 16237 3 Economy & Growth
#> 16238 3 Economy & Growth
#> 16239 3 Economy & Growth
#> 16240 3 Economy & Growth
#> 16241 NA <NA>
#> 16242 NA <NA>
#> 16243 5 Energy & Mining
#> 16244 5 Energy & Mining
#> 16251 3 Economy & Growth
#> 16252 3 Economy & Growth
#> 16253 NA <NA>
#> 16255 NA <NA>
#> 16257 3 Economy & Growth
#> 16258 NA <NA>
#> 16260 3 Economy & Growth
#> 16262 NA <NA>
#> 16263 NA <NA>
#> 16264 NA <NA>
#> 16265 NA <NA>
#> 16266 NA <NA>
#> 16267 NA <NA>
#> 16268 NA <NA>
#> 16269 NA <NA>
#> 16281 3 Economy & Growth
#> 16282 3 Economy & Growth
#> 16292 3 Economy & Growth
#> 16293 3 Economy & Growth
#> 16302 3 Economy & Growth
#> 16340 NA <NA>
#> 16341 NA <NA>
#> 16342 NA <NA>
#> 16343 NA <NA>
#> 16344 NA <NA>
#> 16420 NA <NA>
#> 16421 3 Economy & Growth
#> 16422 3 Economy & Growth
#> 16423 3 Economy & Growth
#> 16425 3 Economy & Growth
#> 16484 NA <NA>
#> 16492 NA <NA>
#> 16517 NA <NA>
#> 16539 NA <NA>
#> 16548 NA <NA>
#> 16557 NA <NA>
#> 16562 NA <NA>
#> 16564 NA <NA>
#> 16565 NA <NA>
#> 16578 NA <NA>
#> 16594 NA <NA>
#> 16613 NA <NA>
#> 16624 NA <NA>
#> 16625 NA <NA>
#> 16627 NA <NA>
#> 16661 NA <NA>
#> 16678 NA <NA>
#> 16694 NA <NA>
#> 16775 NA <NA>
#> 16799 NA <NA>
#> 16804 NA <NA>
#> 16854 NA <NA>
#> 16871 NA <NA>
#> 16893 NA <NA>
#> 16897 NA <NA>
#> 16949 NA <NA>
#> 16965 NA <NA>
#> 16988 NA <NA>
#> 16992 NA <NA>
#> 17060 NA <NA>
#> 17120 NA <NA>
#> 17141 NA <NA>
#> 17142 NA <NA>
#> 17143 NA <NA>
#> 17144 NA <NA>
#> 17145 NA <NA>
#> 17200 NA <NA>
#> 17217 NA <NA>
#> 17249 NA <NA>
#> 17257 NA <NA>
#> 17277 NA <NA>
#> 17281 NA <NA>
#> 17304 NA <NA>
#> 17319 NA <NA>
#> 17324 NA <NA>
#> 21520 NA <NA>
#> 24343 NA <NA>
#> 24716 NA <NA>
#> 24780 NA <NA>
#> 25007 NA <NA>
#> 25012 NA <NA>
#> 25013 4 Education
#> 25016 NA <NA>
#> 25017 4 Education
#> 25021 NA <NA>
#> 25022 4 Education
#> 25025 4 Education
#> 25045 NA <NA>
#> 25939 8 Health
#> 26083 8 Health
#> 26092 8 Health
#> 26096 NA <NA>
#> 26097 NA <NA>
#> 26109 8 Health
#> 26112 8 Health
#> 26118 8 Health
#> 26292 10 Social Protection & Labor
#> 26293 NA <NA>
#> 26294 NA <NA>
#> 27036 NA <NA>
#> 27038 NA <NA>
#> 27043 NA <NA>
#> 27078 NA <NA>
#> 27079 12 Private Sector
#> 27080 NA <NA>
#> 29287 NA <NA>
#> 29288 NA <NA>
#> 29289 NA <NA>
#> 29290 NA <NA>
#> 29291 NA <NA>
#> 29292 NA <NA>
#> 29293 NA <NA>
#> 29294 NA <NA>
#> 29295 NA <NA>
#> 29296 NA <NA>
#> 29307 NA <NA>
#> 29308 NA <NA>
#> 29309 NA <NA>
#> 29310 NA <NA>
#> 29311 NA <NA>
#> 29312 NA <NA>
#> 29313 NA <NA>
#> 29314 NA <NA>
#> 29315 NA <NA>
#> 29316 NA <NA>
#> 29317 NA <NA>
#> 29318 NA <NA>
#> 29319 NA <NA>
#> 29320 NA <NA>
#> 29321 NA <NA>
#> 29322 NA <NA>
#> 29323 NA <NA>
#> 29324 NA <NA>
#> 29374 NA <NA>
#> 29375 NA <NA>
#> 29376 NA <NA>
#> 29377 NA <NA>
#> 29378 NA <NA>
#> 29379 NA <NA>
#> 29380 NA <NA>
#> 29381 NA <NA>
#> 29382 NA <NA>
# restrict the search to the indicator name
wb_search("unemployment", fields = "name")
#> id
#> 14227 JI.UEM.1524.FE.ZS
#> 14228 JI.UEM.1524.HE.ZS
#> 14229 JI.UEM.1524.LE.ZS
#> 14230 JI.UEM.1524.MA.ZS
#> 14231 JI.UEM.1524.RU.ZS
#> 14232 JI.UEM.1524.UR.ZS
#> 14233 JI.UEM.1524.ZS
#> 14234 JI.UEM.1564.FE.ZS
#> 14235 JI.UEM.1564.HE.ZS
#> 14236 JI.UEM.1564.LE.ZS
#> 14237 JI.UEM.1564.MA.ZS
#> 14238 JI.UEM.1564.OL.ZS
#> 14239 JI.UEM.1564.RU.ZS
#> 14240 JI.UEM.1564.UR.ZS
#> 14241 JI.UEM.1564.YG.ZS
#> 14242 JI.UEM.1564.ZS
#> 14371 lm_ub.bi_q1
#> 14372 lm_ub.cov_pop
#> 14373 lm_ub.gen_pop
#> 17728 per_lm_alllm.adq_pop_tot
#> 17805 per_lm_alllm.ben_q1_tot
#> 17876 per_lm_alllm.cov_pop_tot
#> 17882 per_lm_alllm.cov_q1_tot
#> 17886 per_lm_alllm.cov_q2_tot
#> 17890 per_lm_alllm.cov_q3_tot
#> 17894 per_lm_alllm.cov_q4_tot
#> 17898 per_lm_alllm.cov_q5_tot
#> 26409 SL.UEM.1524.FE.NE.ZS
#> 26410 SL.UEM.1524.FE.ZS
#> 26411 SL.UEM.1524.FM.NE.ZS
#> 26412 SL.UEM.1524.FM.ZS
#> 26413 SL.UEM.1524.MA.NE.ZS
#> 26414 SL.UEM.1524.MA.ZS
#> 26415 SL.UEM.1524.NE.ZS
#> 26416 SL.UEM.1524.ZS
#> 26417 SL.UEM.ADVN.FE.ZS
#> 26418 SL.UEM.ADVN.MA.ZS
#> 26419 SL.UEM.ADVN.ZS
#> 26420 SL.UEM.BASC.FE.ZS
#> 26421 SL.UEM.BASC.MA.ZS
#> 26422 SL.UEM.BASC.ZS
#> 26423 SL.UEM.INTM.FE.ZS
#> 26424 SL.UEM.INTM.MA.ZS
#> 26425 SL.UEM.INTM.ZS
#> 26426 SL.UEM.LTRM.FE.ZS
#> 26427 SL.UEM.LTRM.MA.ZS
#> 26428 SL.UEM.LTRM.ZS
#> 26435 SL.UEM.PRIM.FE.ZS
#> 26436 SL.UEM.PRIM.MA.ZS
#> 26437 SL.UEM.PRIM.ZS
#> 26438 SL.UEM.SECO.FE.ZS
#> 26439 SL.UEM.SECO.MA.ZS
#> 26440 SL.UEM.SECO.ZS
#> 26441 SL.UEM.TERT.FE.ZS
#> 26442 SL.UEM.TERT.MA.ZS
#> 26443 SL.UEM.TERT.ZS
#> 26445 SL.UEM.TOTL.FE.NE.ZS
#> 26446 SL.UEM.TOTL.FE.ZS
#> 26447 SL.UEM.TOTL.MA.NE.ZS
#> 26448 SL.UEM.TOTL.MA.ZS
#> 26449 SL.UEM.TOTL.NE.ZS
#> 26450 SL.UEM.TOTL.ZS
#> 29433 UNEMPSA_
#> name
#> 14227 Youth unemployment rate, aged 15-24, female (% of female youth labor force)
#> 14228 Youth unemployment rate, aged 15-24, above primary education (% of youth labor force with high education)
#> 14229 Youth unemployment rate, aged 15-24, primary education and below (% of youth labor force with low education)
#> 14230 Youth unemployment rate, aged 15-24, male (% of male youth labor force)
#> 14231 Youth unemployment rate, aged 15-24, rural (% of rural youth labor force)
#> 14232 Youth unemployment rate, aged 15-24, urban (% of urban youth labor force)
#> 14233 Youth unemployment rate, aged 15-24, total (% of total youth labor force)
#> 14234 Unemployment rate, aged 15-64, female (% of female labor force in working age)
#> 14235 Unemployment rate, aged 15-64, above primary education (% of labor force with high education in working age)
#> 14236 Unemployment rate, aged 15-64, primary education and below (% of labor force with low education in working age)
#> 14237 Unemployment rate, aged 15-64, male (% of male labor force in working age)
#> 14238 Unemployment rate, aged 25-64 (% of labor force aged 25-64)
#> 14239 Unemployment rate, aged 15-64, rural (% of rural labor force in working age)
#> 14240 Unemployment rate, aged 15-64, urban (% of urban labor force in working age)
#> 14241 Unemployment rate, aged 15-24 (% of labor force aged 15-24)
#> 14242 Unemployment rate, aged 15-64, total (% of total labor force in working age)
#> 14371 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
#> 14372 Coverage of unemployment benefits and ALMP (% of population)
#> 14373 Generosity of unemployment benefits and ALMP (% of total welfare of beneficiary households)
#> 17728 Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households)
#> 17805 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
#> 17876 Coverage of unemployment benefits and ALMP (% of population)
#> 17882 Coverage of unemployment benefits and ALMP in poorest quintile (% of population)
#> 17886 Coverage of unemployment benefits and ALMP in 2nd quintile (% of population)
#> 17890 Coverage of unemployment benefits and ALMP in 3rd quintile (% of population)
#> 17894 Coverage of unemployment benefits and ALMP in 4th quintile (% of population)
#> 17898 Coverage of unemployment benefits and ALMP in richest quintile (% of population)
#> 26409 Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
#> 26410 Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
#> 26411 Ratio of female to male youth unemployment rate (%) (national estimate)
#> 26412 Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)
#> 26413 Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
#> 26414 Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
#> 26415 Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
#> 26416 Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
#> 26417 Unemployment with advanced education, female (% of female labor force with advanced education)
#> 26418 Unemployment with advanced education, male (% of male labor force with advanced education)
#> 26419 Unemployment with advanced education (% of total labor force with advanced education)
#> 26420 Unemployment with basic education, female (% of female labor force with basic education)
#> 26421 Unemployment with basic education, male (% of male labor force with basic education)
#> 26422 Unemployment with basic education (% of total labor force with basic education)
#> 26423 Unemployment with intermediate education, female (% of female labor force with intermediate education)
#> 26424 Unemployment with intermediate education, male (% of male labor force with intermediate education)
#> 26425 Unemployment with intermediate education (% of total labor force with intermediate education)
#> 26426 Long-term unemployment, female (% of female unemployment)
#> 26427 Long-term unemployment, male (% of male unemployment)
#> 26428 Long-term unemployment (% of total unemployment)
#> 26435 Unemployment with primary education, female (% of female unemployment)
#> 26436 Unemployment with primary education, male (% of male unemployment)
#> 26437 Unemployment with primary education (% of total unemployment)
#> 26438 Unemployment with secondary education, female (% of female unemployment)
#> 26439 Unemployment with secondary education, male (% of male unemployment)
#> 26440 Unemployment with secondary education (% of total unemployment)
#> 26441 Unemployment with tertiary education, female (% of female unemployment)
#> 26442 Unemployment with tertiary education, male (% of male unemployment)
#> 26443 Unemployment with tertiary education (% of total unemployment)
#> 26445 Unemployment, female (% of female labor force) (national estimate)
#> 26446 Unemployment, female (% of female labor force) (modeled ILO estimate)
#> 26447 Unemployment, male (% of male labor force) (national estimate)
#> 26448 Unemployment, male (% of male labor force) (modeled ILO estimate)
#> 26449 Unemployment, total (% of total labor force) (national estimate)
#> 26450 Unemployment, total (% of total labor force) (modeled ILO estimate)
#> 29433 Unemployment rate,Percent,,,
#> unit source_id source_value
#> 14227 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14228 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14229 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14230 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14231 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14232 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14233 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14234 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14235 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14236 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14237 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14238 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14239 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14240 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14241 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14242 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14371 <NA> 57 WDI Database Archives
#> 14372 <NA> 57 WDI Database Archives
#> 14373 <NA> 57 WDI Database Archives
#> 17728 <NA> 2 World Development Indicators
#> 17805 <NA> 2 World Development Indicators
#> 17876 <NA> 2 World Development Indicators
#> 17882 <NA> 2 World Development Indicators
#> 17886 <NA> 2 World Development Indicators
#> 17890 <NA> 2 World Development Indicators
#> 17894 <NA> 2 World Development Indicators
#> 17898 <NA> 2 World Development Indicators
#> 26409 <NA> 2 World Development Indicators
#> 26410 <NA> 2 World Development Indicators
#> 26411 <NA> 14 Gender Statistics
#> 26412 <NA> 14 Gender Statistics
#> 26413 <NA> 2 World Development Indicators
#> 26414 <NA> 2 World Development Indicators
#> 26415 <NA> 2 World Development Indicators
#> 26416 <NA> 2 World Development Indicators
#> 26417 <NA> 2 World Development Indicators
#> 26418 <NA> 2 World Development Indicators
#> 26419 <NA> 2 World Development Indicators
#> 26420 <NA> 2 World Development Indicators
#> 26421 <NA> 2 World Development Indicators
#> 26422 <NA> 2 World Development Indicators
#> 26423 <NA> 2 World Development Indicators
#> 26424 <NA> 2 World Development Indicators
#> 26425 <NA> 2 World Development Indicators
#> 26426 <NA> 57 WDI Database Archives
#> 26427 <NA> 57 WDI Database Archives
#> 26428 <NA> 57 WDI Database Archives
#> 26435 <NA> 57 WDI Database Archives
#> 26436 <NA> 57 WDI Database Archives
#> 26437 <NA> 57 WDI Database Archives
#> 26438 <NA> 57 WDI Database Archives
#> 26439 <NA> 57 WDI Database Archives
#> 26440 <NA> 11 Africa Development Indicators
#> 26441 <NA> 57 WDI Database Archives
#> 26442 <NA> 11 Africa Development Indicators
#> 26443 <NA> 57 WDI Database Archives
#> 26445 <NA> 2 World Development Indicators
#> 26446 <NA> 2 World Development Indicators
#> 26447 <NA> 2 World Development Indicators
#> 26448 <NA> 2 World Development Indicators
#> 26449 <NA> 2 World Development Indicators
#> 26450 <NA> 2 World Development Indicators
#> 29433 <NA> 15 Global Economic Monitor
#> source_note
#> 14227 <NA>
#> 14228 <NA>
#> 14229 <NA>
#> 14230 <NA>
#> 14231 <NA>
#> 14232 <NA>
#> 14233 <NA>
#> 14234 <NA>
#> 14235 <NA>
#> 14236 <NA>
#> 14237 <NA>
#> 14238 <NA>
#> 14239 <NA>
#> 14240 <NA>
#> 14241 <NA>
#> 14242 <NA>
#> 14371 <NA>
#> 14372 <NA>
#> 14373 <NA>
#> 17728 Adequacy of unemployment benefits and active labor market programs (ALMP) is measured by the total transfer amount received by the population participating in unemployment benefits and active labor market programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Unemployment benefits and active labor market programs include unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
#> 17805 Benefit incidence of unemployment benefits and active labor market programs (ALMP) to poorest quintile shows the percentage of total unemployment and active labor market programs benefits received by the poorest 20% of the population. Unemployment benefits and active labor market programs include unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
#> 17876 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
#> 17882 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
#> 17886 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
#> 17890 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
#> 17894 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
#> 17898 Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.
#> 26409 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
#> 26410 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 26411 Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
#> 26412 Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
#> 26413 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
#> 26414 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 26415 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
#> 26416 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 26417 The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
#> 26418 The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
#> 26419 The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
#> 26420 The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
#> 26421 The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
#> 26422 The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).
#> 26423 The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
#> 26424 The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
#> 26425 The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).
#> 26426 Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed.
#> 26427 Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed.
#> 26428 Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed.
#> 26435 Female unemployment with primary education is the share of the female unemployed who attained or completed primary education as the highest level.
#> 26436 Male unemployment with primary education is the share of the male unemployed who attained or completed primary education as the highest level.
#> 26437 Unemployment with primary education is the share of the total unemployed who attained or completed primary education as the highest level.
#> 26438 Female unemployment with secondary education is the share of the female unemployed who attained or completed secondary education as the highest level.
#> 26439 Male unemployment with secondary education is the share of the male unemployed who attained or completed secondary education as the highest level.
#> 26440 Unemployment with secondary education is the share of the total unemployed who attained or completed secondary education as the highest level.
#> 26441 Female unemployment with tertiary education is the share of the female unemployed who attained or completed tertiary education as the highest level.
#> 26442 Male unemployment with tertiary education is the share of the male unemployed who attained or completed tertiary education as the highest level.
#> 26443 Unemployment with tertiary education is the share of the total unemployed who attained or completed tertiary education as the highest level.
#> 26445 Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
#> 26446 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 26447 Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
#> 26448 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 26449 Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.
#> 26450 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 29433 <NA>
#> source_organization
#> 14227 <NA>
#> 14228 <NA>
#> 14229 <NA>
#> 14230 <NA>
#> 14231 <NA>
#> 14232 <NA>
#> 14233 <NA>
#> 14234 <NA>
#> 14235 <NA>
#> 14236 <NA>
#> 14237 <NA>
#> 14238 <NA>
#> 14239 <NA>
#> 14240 <NA>
#> 14241 <NA>
#> 14242 <NA>
#> 14371 <NA>
#> 14372 <NA>
#> 14373 <NA>
#> 17728 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB), uri: datatopics.worldbank.org/aspire/, note: Data are based on national representative household surveys.
#> 17805 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB), uri: datatopics.worldbank.org/aspire/, note: Data are based on national representative household surveys.
#> 17876 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB), uri: datatopics.worldbank.org/aspire/, note: Data are based on national representative household surveys.
#> 17882 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB), uri: datatopics.worldbank.org/aspire/, note: Data are based on national representative household surveys.
#> 17886 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB), uri: datatopics.worldbank.org/aspire/, note: Data are based on national representative household surveys.
#> 17890 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB), uri: datatopics.worldbank.org/aspire/, note: Data are based on national representative household surveys.
#> 17894 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB), uri: datatopics.worldbank.org/aspire/, note: Data are based on national representative household surveys.
#> 17898 ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, World Bank (WB), uri: datatopics.worldbank.org/aspire/, note: Data are based on national representative household surveys.
#> 26409 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 26410 ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
#> 26411 World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
#> 26412 World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
#> 26413 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 26414 ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
#> 26415 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 26416 ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
#> 26417 Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26418 Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26419 Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26420 Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26421 Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26422 Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26423 Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26424 Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26425 Education and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26426 International Labour Organization, Key Indicators of the Labour Market database.
#> 26427 International Labour Organization, Key Indicators of the Labour Market database.
#> 26428 International Labour Organization, Key Indicators of the Labour Market database.
#> 26435 International Labour Organization, Key Indicators of the Labour Market database.
#> 26436 International Labour Organization, Key Indicators of the Labour Market database.
#> 26437 International Labour Organization, Key Indicators of the Labour Market database.
#> 26438 International Labour Organization, Key Indicators of the Labour Market database.
#> 26439 International Labour Organization, Key Indicators of the Labour Market database.
#> 26440 International Labour Organization, Key Indicators of the Labour Market database.
#> 26441 International Labour Organization, Key Indicators of the Labour Market database.
#> 26442 International Labour Organization, Key Indicators of the Labour Market database.
#> 26443 International Labour Organization, Key Indicators of the Labour Market database.
#> 26445 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 26446 ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
#> 26447 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 26448 ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
#> 26449 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 26450 ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026
#> 29433 <NA>
#> topic_id topic_value
#> 14227 NA <NA>
#> 14228 NA <NA>
#> 14229 NA <NA>
#> 14230 NA <NA>
#> 14231 NA <NA>
#> 14232 NA <NA>
#> 14233 NA <NA>
#> 14234 NA <NA>
#> 14235 NA <NA>
#> 14236 NA <NA>
#> 14237 NA <NA>
#> 14238 NA <NA>
#> 14239 NA <NA>
#> 14240 NA <NA>
#> 14241 NA <NA>
#> 14242 NA <NA>
#> 14371 NA <NA>
#> 14372 NA <NA>
#> 14373 NA <NA>
#> 17728 10 Social Protection & Labor
#> 17805 10 Social Protection & Labor
#> 17876 10 Social Protection & Labor
#> 17882 10 Social Protection & Labor
#> 17886 10 Social Protection & Labor
#> 17890 10 Social Protection & Labor
#> 17894 10 Social Protection & Labor
#> 17898 10 Social Protection & Labor
#> 26409 10 Social Protection & Labor
#> 26410 10 Social Protection & Labor
#> 26411 17 Gender
#> 26412 17 Gender
#> 26413 10 Social Protection & Labor
#> 26414 10 Social Protection & Labor
#> 26415 10 Social Protection & Labor
#> 26416 10 Social Protection & Labor
#> 26417 10 Social Protection & Labor
#> 26418 10 Social Protection & Labor
#> 26419 10 Social Protection & Labor
#> 26420 10 Social Protection & Labor
#> 26421 10 Social Protection & Labor
#> 26422 10 Social Protection & Labor
#> 26423 10 Social Protection & Labor
#> 26424 10 Social Protection & Labor
#> 26425 10 Social Protection & Labor
#> 26426 10 Social Protection & Labor
#> 26427 10 Social Protection & Labor
#> 26428 10 Social Protection & Labor
#> 26435 10 Social Protection & Labor
#> 26436 10 Social Protection & Labor
#> 26437 10 Social Protection & Labor
#> 26438 10 Social Protection & Labor
#> 26439 10 Social Protection & Labor
#> 26440 10 Social Protection & Labor
#> 26441 10 Social Protection & Labor
#> 26442 10 Social Protection & Labor
#> 26443 10 Social Protection & Labor
#> 26445 10 Social Protection & Labor
#> 26446 4 Education
#> 26447 10 Social Protection & Labor
#> 26448 4 Education
#> 26449 10 Social Protection & Labor
#> 26450 4 Education
#> 29433 NA <NA>
# case-sensitive fixed-string match
wb_search("GDP", ignore.case = FALSE, fixed = TRUE)
#> id
#> 689 6.0.GDP_current
#> 690 6.0.GDP_growth
#> 691 6.0.GDP_usd
#> 692 6.0.GDPpc_constant
#> 2097 BG.GSR.NFSV.GD.ZS
#> 2098 BG.KAC.FNEI.GD.PP.ZS
#> 2099 BG.KAC.FNEI.GD.ZS
#> 2100 BG.KLT.DINV.GD.PP.ZS
#> 2101 BG.KLT.DINV.GD.ZS
#> 2402 BI.WAG.TOTL.GD.ZS
#> 2425 BM.GSR.MRCH.ZS
#> 2437 BM.KLT.DINV.GD.ZS
#> 2438 BM.KLT.DINV.WD.GD.ZS
#> 2451 BN.CAB.XOKA.GD.ZS
#> 2452 BN.CAB.XOKA.GDP.ZS
#> 2455 BN.CAB.XOTR.ZS
#> 2458 BN.CUR.GDPM.ZS
#> 2464 BN.GSR.FCTY.CD.ZS
#> 2473 BN.KLT.DINV.CD.ZS
#> 2475 BN.KLT.DINV.DRS.GDP.ZS
#> 2481 BN.KLT.PRVT.GD.ZS
#> 2492 BN.TRF.CURR.CD.ZS
#> 2541 BX.GSR.MRCH.ZS
#> 2553 BX.KLT.DINV.DT.GD.ZS
#> 2555 BX.KLT.DINV.WD.GD.ZS
#> 2564 BX.TRF.MGR.DT.GD.ZS
#> 2570 BX.TRF.PWKR.DT.GD.ZS
#> 2571 BX.TRF.PWKR.GD.ZS
#> 2868 CC.ENTX.ENE.ZS
#> 2869 CC.ENTX.ENV.ZS
#> 2944 CC.GHG.MEMG.EI
#> 2945 CC.GHG.MEMG.GC
#> 2968 CC.INCP.ALRS
#> 2969 CC.INCP.KRGC
#> 2970 CC.INCP.SPMC
#> 3033 CC.RISK.AST.ZS
#> 3034 CC.RISK.WELL.ZS
#> 3043 CC.SP.EXP.ZS
#> 3136 CM.FIN.INTL.GD.ZS
#> 3139 CM.MKT.LCAP.GD.ZS
#> 3142 CM.MKT.TRAD.GD.ZS
#> 4290 DP.DOD.DECD.CR.BC.Z1
#> 4293 DP.DOD.DECD.CR.CG.Z1
#> 4296 DP.DOD.DECD.CR.FC.Z1
#> 4299 DP.DOD.DECD.CR.GG.Z1
#> 4302 DP.DOD.DECD.CR.NF.Z1
#> 4307 DP.DOD.DECF.CR.BC.Z1
#> 4310 DP.DOD.DECF.CR.CG.Z1
#> 4313 DP.DOD.DECF.CR.FC.Z1
#> 4316 DP.DOD.DECF.CR.GG.Z1
#> 4319 DP.DOD.DECF.CR.NF.Z1
#> 4324 DP.DOD.DECN.CR.BC.Z1
#> 4327 DP.DOD.DECN.CR.CG.Z1
#> 4330 DP.DOD.DECN.CR.FC.Z1
#> 4333 DP.DOD.DECN.CR.GG.Z1
#> 4336 DP.DOD.DECN.CR.NF.Z1
#> 4341 DP.DOD.DECT.CR.BC.Z1
#> 4344 DP.DOD.DECT.CR.CG.Z1
#> 4347 DP.DOD.DECT.CR.FC.Z1
#> 4350 DP.DOD.DECT.CR.GG.Z1
#> 4353 DP.DOD.DECT.CR.NF.Z1
#> 4358 DP.DOD.DECX.CR.BC.Z1
#> 4361 DP.DOD.DECX.CR.CG.Z1
#> 4364 DP.DOD.DECX.CR.FC.Z1
#> 4367 DP.DOD.DECX.CR.GG.Z1
#> 4370 DP.DOD.DECX.CR.NF.Z1
#> 4375 DP.DOD.DLCD.CR.BC.Z1
#> 4378 DP.DOD.DLCD.CR.CG.Z1
#> 4381 DP.DOD.DLCD.CR.FC.Z1
#> 4384 DP.DOD.DLCD.CR.GG.Z1
#> 4387 DP.DOD.DLCD.CR.L1.BC.Z1
#> 4390 DP.DOD.DLCD.CR.L1.CG.Z1
#> 4393 DP.DOD.DLCD.CR.L1.FC.Z1
#> 4396 DP.DOD.DLCD.CR.L1.GG.Z1
#> 4399 DP.DOD.DLCD.CR.L1.NF.Z1
#> 4404 DP.DOD.DLCD.CR.M1.BC.Z1
#> 4407 DP.DOD.DLCD.CR.M1.CG.Z1
#> 4410 DP.DOD.DLCD.CR.M1.FC.Z1
#> 4413 DP.DOD.DLCD.CR.M1.GG.Z1
#> 4416 DP.DOD.DLCD.CR.M1.NF.Z1
#> 4421 DP.DOD.DLCD.CR.NF.Z1
#> 4425 DP.DOD.DLD1.CR.CG.Z1
#> 4427 DP.DOD.DLD1.CR.GG.Z1
#> 4429 DP.DOD.DLD2.CR.CG.Z1
#> 4431 DP.DOD.DLD2.CR.GG.Z1
#> 4433 DP.DOD.DLD2A.CR.CG.Z1
#> 4435 DP.DOD.DLD2A.CR.GG.Z1
#> 4437 DP.DOD.DLD3.CR.CG.Z1
#> 4439 DP.DOD.DLD3.CR.GG.Z1
#> 4441 DP.DOD.DLD4.CR.CG.Z1
#> 4443 DP.DOD.DLD4.CR.GG.Z1
#> 4446 DP.DOD.DLDS.CR.BC.Z1
#> 4449 DP.DOD.DLDS.CR.CG.Z1
#> 4452 DP.DOD.DLDS.CR.FC.Z1
#> 4455 DP.DOD.DLDS.CR.GG.Z1
#> 4458 DP.DOD.DLDS.CR.L1.BC.Z1
#> 4461 DP.DOD.DLDS.CR.L1.CG.Z1
#> 4464 DP.DOD.DLDS.CR.L1.FC.Z1
#> 4467 DP.DOD.DLDS.CR.L1.GG.Z1
#> 4470 DP.DOD.DLDS.CR.L1.NF.Z1
#> 4475 DP.DOD.DLDS.CR.M1.BC.Z1
#> 4478 DP.DOD.DLDS.CR.M1.CG.Z1
#> 4481 DP.DOD.DLDS.CR.M1.FC.Z1
#> 4484 DP.DOD.DLDS.CR.M1.GG.Z1
#> 4487 DP.DOD.DLDS.CR.M1.NF.Z1
#> 4492 DP.DOD.DLDS.CR.MV.BC.Z1
#> 4495 DP.DOD.DLDS.CR.MV.CG.Z1
#> 4498 DP.DOD.DLDS.CR.MV.FC.Z1
#> 4501 DP.DOD.DLDS.CR.MV.GG.Z1
#> 4504 DP.DOD.DLDS.CR.MV.NF.Z1
#> 4509 DP.DOD.DLDS.CR.NF.Z1
#> 4514 DP.DOD.DLIN.CR.BC.Z1
#> 4517 DP.DOD.DLIN.CR.CG.Z1
#> 4520 DP.DOD.DLIN.CR.FC.Z1
#> 4523 DP.DOD.DLIN.CR.GG.Z1
#> 4526 DP.DOD.DLIN.CR.L1.BC.Z1
#> 4529 DP.DOD.DLIN.CR.L1.CG.Z1
#> 4532 DP.DOD.DLIN.CR.L1.FC.Z1
#> 4535 DP.DOD.DLIN.CR.L1.GG.Z1
#> 4538 DP.DOD.DLIN.CR.L1.NF.Z1
#> 4543 DP.DOD.DLIN.CR.M1.BC.Z1
#> 4546 DP.DOD.DLIN.CR.M1.CG.Z1
#> 4549 DP.DOD.DLIN.CR.M1.FC.Z1
#> 4552 DP.DOD.DLIN.CR.M1.GG.Z1
#> 4555 DP.DOD.DLIN.CR.M1.NF.Z1
#> 4560 DP.DOD.DLIN.CR.NF.Z1
#> 4565 DP.DOD.DLLO.CR.BC.Z1
#> 4568 DP.DOD.DLLO.CR.CG.Z1
#> 4571 DP.DOD.DLLO.CR.FC.Z1
#> 4574 DP.DOD.DLLO.CR.GG.Z1
#> 4577 DP.DOD.DLLO.CR.L1.BC.Z1
#> 4580 DP.DOD.DLLO.CR.L1.CG.Z1
#> 4583 DP.DOD.DLLO.CR.L1.FC.Z1
#> 4586 DP.DOD.DLLO.CR.L1.GG.Z1
#> 4589 DP.DOD.DLLO.CR.L1.NF.Z1
#> 4594 DP.DOD.DLLO.CR.M1.BC.Z1
#> 4597 DP.DOD.DLLO.CR.M1.CG.Z1
#> 4600 DP.DOD.DLLO.CR.M1.FC.Z1
#> 4603 DP.DOD.DLLO.CR.M1.GG.Z1
#> 4606 DP.DOD.DLLO.CR.M1.NF.Z1
#> 4611 DP.DOD.DLLO.CR.NF.Z1
#> 4616 DP.DOD.DLOA.CR.BC.Z1
#> 4619 DP.DOD.DLOA.CR.CG.Z1
#> 4622 DP.DOD.DLOA.CR.FC.Z1
#> 4625 DP.DOD.DLOA.CR.GG.Z1
#> 4628 DP.DOD.DLOA.CR.L1.BC.Z1
#> 4631 DP.DOD.DLOA.CR.L1.CG.Z1
#> 4634 DP.DOD.DLOA.CR.L1.FC.Z1
#> 4637 DP.DOD.DLOA.CR.L1.GG.Z1
#> 4640 DP.DOD.DLOA.CR.L1.NF.Z1
#> 4645 DP.DOD.DLOA.CR.M1.BC.Z1
#> 4648 DP.DOD.DLOA.CR.M1.CG.Z1
#> 4651 DP.DOD.DLOA.CR.M1.FC.Z1
#> 4654 DP.DOD.DLOA.CR.M1.GG.Z1
#> 4657 DP.DOD.DLOA.CR.M1.NF.Z1
#> 4662 DP.DOD.DLOA.CR.NF.Z1
#> 4667 DP.DOD.DLSD.CR.BC.Z1
#> 4670 DP.DOD.DLSD.CR.CG.Z1
#> 4673 DP.DOD.DLSD.CR.FC.Z1
#> 4676 DP.DOD.DLSD.CR.GG.Z1
#> 4679 DP.DOD.DLSD.CR.M1.BC.Z1
#> 4682 DP.DOD.DLSD.CR.M1.CG.Z1
#> 4685 DP.DOD.DLSD.CR.M1.FC.Z1
#> 4688 DP.DOD.DLSD.CR.M1.GG.Z1
#> 4691 DP.DOD.DLSD.CR.M1.NF.Z1
#> 4696 DP.DOD.DLSD.CR.NF.Z1
#> 4701 DP.DOD.DLTC.CR.BC.Z1
#> 4704 DP.DOD.DLTC.CR.CG.Z1
#> 4707 DP.DOD.DLTC.CR.FC.Z1
#> 4710 DP.DOD.DLTC.CR.GG.Z1
#> 4713 DP.DOD.DLTC.CR.L1.BC.Z1
#> 4716 DP.DOD.DLTC.CR.L1.CG.Z1
#> 4719 DP.DOD.DLTC.CR.L1.FC.Z1
#> 4722 DP.DOD.DLTC.CR.L1.GG.Z1
#> 4725 DP.DOD.DLTC.CR.L1.NF.Z1
#> 4730 DP.DOD.DLTC.CR.M1.BC.Z1
#> 4733 DP.DOD.DLTC.CR.M1.CG.Z1
#> 4736 DP.DOD.DLTC.CR.M1.FC.Z1
#> 4739 DP.DOD.DLTC.CR.M1.GG.Z1
#> 4742 DP.DOD.DLTC.CR.M1.NF.Z1
#> 4747 DP.DOD.DLTC.CR.NF.Z1
#> 4753 DP.DOD.DSCD.CR.BC.Z1
#> 4756 DP.DOD.DSCD.CR.CG.Z1
#> 4759 DP.DOD.DSCD.CR.FC.Z1
#> 4762 DP.DOD.DSCD.CR.GG.Z1
#> 4765 DP.DOD.DSCD.CR.NF.Z1
#> 4770 DP.DOD.DSDS.CR.BC.Z1
#> 4773 DP.DOD.DSDS.CR.CG.Z1
#> 4776 DP.DOD.DSDS.CR.FC.Z1
#> 4779 DP.DOD.DSDS.CR.GG.Z1
#> 4782 DP.DOD.DSDS.CR.NF.Z1
#> 4787 DP.DOD.DSIN.CR.BC.Z1
#> 4790 DP.DOD.DSIN.CR.CG.Z1
#> 4793 DP.DOD.DSIN.CR.FC.Z1
#> 4796 DP.DOD.DSIN.CR.GG.Z1
#> 4799 DP.DOD.DSIN.CR.NF.Z1
#> 4804 DP.DOD.DSLO.CR.BC.Z1
#> 4807 DP.DOD.DSLO.CR.CG.Z1
#> 4810 DP.DOD.DSLO.CR.FC.Z1
#> 4813 DP.DOD.DSLO.CR.GG.Z1
#> 4816 DP.DOD.DSLO.CR.NF.Z1
#> 4821 DP.DOD.DSOA.CR.BC.Z1
#> 4824 DP.DOD.DSOA.CR.CG.Z1
#> 4827 DP.DOD.DSOA.CR.FC.Z1
#> 4830 DP.DOD.DSOA.CR.GG.Z1
#> 4833 DP.DOD.DSOA.CR.NF.Z1
#> 4838 DP.DOD.DSTC.CR.BC.Z1
#> 4841 DP.DOD.DSTC.CR.CG.Z1
#> 4844 DP.DOD.DSTC.CR.FC.Z1
#> 4847 DP.DOD.DSTC.CR.GG.Z1
#> 4850 DP.DOD.DSTC.CR.NF.Z1
#> 5346 DT.DOD.ALLC.ZSG
#> 5349 DT.DOD.ALLN.ZSG
#> 5350 DT.DOD.ALLN.ZSX
#> 5504 DT.DOD.DECT.CD.ZSG
#> 7123 DT.ODA.ALLD.GD.ZS
#> 7194 DT.ODA.DACD.ZSG
#> 7199 DT.ODA.MULT.ZSG
#> 7207 DT.ODA.NDAC.ZSG
#> 7213 DT.ODA.ODAT.GD.ZS
#> 7363 DT.TDS.DECT.GD.ZS
#> 7760 EF.EFM.OVRL.XD
#> 7763 EF.EFM.UNIV.XD
#> 7767 EG.EGY.PRIM.PP.KD
#> 7791 EG.GDP.PUSE.KO.87
#> 7792 EG.GDP.PUSE.KO.KD
#> 7793 EG.GDP.PUSE.KO.PP
#> 7794 EG.GDP.PUSE.KO.PP.KD
#> 7802 EG.USE.COMM.GD.PP.KD
#> 7921 EN.ATM.CO2E.GDP
#> 7925 EN.ATM.CO2E.KD.87.GD
#> 7926 EN.ATM.CO2E.KD.GD
#> 7931 EN.ATM.CO2E.PP.GD
#> 7932 EN.ATM.CO2E.PP.GD.KD
#> 8017 EN.GHG.CO2.RT.GDP.KD
#> 8018 EN.GHG.CO2.RT.GDP.PP.KD
#> 8101 ER.GDP.FWTL.M3.KD
#> 8119 EU.EGY.USES.GDP
#> 8173 FB.DPT.INSU.PC.ZS
#> 8526 FD.AST.PRVT.GD.ZS
#> 8635 FI.RES.TOTL.CD.ZS
#> 10994 FM.AST.GOVT.CN.ZS
#> 11003 FM.AST.PRVT.GD.ZS
#> 11012 FM.LBL.BMNY.GD.ZS
#> 11019 FM.LBL.MQMY.GD.ZS
#> 11020 FM.LBL.MQMY.GDP.ZS
#> 11022 FM.LBL.MQMY.XD
#> 11027 FM.LBL.QMNY.GDP.ZS
#> 11028 FM.LBL.SEIG.GDP.ZS
#> 11084 FR.INR.DPST.DP
#> 11093 FR.INR.RINR
#> 11098 FS.AST.CGOV.GD.ZS
#> 11099 FS.AST.DOMO.GD.ZS
#> 11100 FS.AST.DOMS.GD.ZS
#> 11101 FS.AST.DTOT.ZS
#> 11103 FS.AST.PRVT.GD.ZS
#> 11104 FS.AST.PRVT.GDP.ZS
#> 11105 FS.LBL.LIQU.GD.ZS
#> 11106 FS.LBL.LIQU.GDP.ZS
#> 11107 FS.LBL.QLIQ.GD.ZS
#> 11170 GB.BAL.OVRL.GD.ZS
#> 11171 GB.BAL.OVRL.GDP.ZS
#> 11180 GB.DOD.TOTL.GD.ZS
#> 11181 GB.DOD.TOTL.GDP.ZS
#> 11185 GB.FIN.ABRD.GD.ZS
#> 11186 GB.FIN.ABRD.GDP.ZS
#> 11190 GB.FIN.DOMS.GD.ZS
#> 11191 GB.FIN.DOMS.GDP.ZS
#> 11201 GB.REV.CTOT.GD.ZS
#> 11204 GB.REV.TOTL.GDP.ZS
#> 11206 GB.REV.XAGT.CN.ZS
#> 11209 GB.RVC.TOTL.GD.ZS
#> 11211 GB.SOE.DECT.ZS
#> 11213 GB.SOE.ECON.GD.ZS
#> 11214 GB.SOE.ECON.GDP.ZS
#> 11217 GB.SOE.NFLW.GD.ZS
#> 11218 GB.SOE.NFLW.GDP.ZS
#> 11219 GB.SOE.OVRL.GD.ZS
#> 11220 GB.SOE.OVRL.GDP.ZS
#> 11245 GB.TAX.TOTL.GD.ZS
#> 11246 GB.TAX.TOTL.GDP.ZS
#> 11264 GB.XPD.DEFN.GDP.ZS
#> 11267 GB.XPD.RSDV.GD.ZS
#> 11270 GB.XPD.TOTL.GD.ZS
#> 11271 GB.XPD.TOTL.GDP.ZS
#> 11278 GC.AST.TOTL.GD.ZS
#> 11281 GC.BAL.CASH.GD.ZS
#> 11286 GC.DOD.TOTL.GD.ZS
#> 11290 GC.FIN.DOMS.GD.ZS
#> 11292 GC.FIN.FRGN.GD.ZS
#> 11294 GC.LBL.TOTL.GD.ZS
#> 11296 GC.NFN.TOTL.GD.ZS
#> 11298 GC.NLD.TOTL.GD.ZS
#> 11309 GC.REV.XGRT.GD.ZS
#> 11324 GC.TAX.TOTL.GD.ZS
#> 11341 GC.XPN.TOTL.GD.ZS
#> 11584 GFDD.DI.01
#> 11585 GFDD.DI.02
#> 11586 GFDD.DI.03
#> 11588 GFDD.DI.05
#> 11589 GFDD.DI.06
#> 11590 GFDD.DI.07
#> 11591 GFDD.DI.08
#> 11592 GFDD.DI.09
#> 11593 GFDD.DI.10
#> 11594 GFDD.DI.11
#> 11595 GFDD.DI.12
#> 11596 GFDD.DI.13
#> 11597 GFDD.DI.14
#> 11598 GFDD.DM.01
#> 11599 GFDD.DM.02
#> 11600 GFDD.DM.03
#> 11601 GFDD.DM.04
#> 11602 GFDD.DM.05
#> 11603 GFDD.DM.06
#> 11604 GFDD.DM.07
#> 11605 GFDD.DM.08
#> 11606 GFDD.DM.09
#> 11607 GFDD.DM.10
#> 11608 GFDD.DM.11
#> 11609 GFDD.DM.12
#> 11610 GFDD.DM.13
#> 11613 GFDD.DM.16
#> 11621 GFDD.EI.08
#> 11626 GFDD.OI.02
#> 11629 GFDD.OI.08
#> 11630 GFDD.OI.09
#> 11634 GFDD.OI.13
#> 11635 GFDD.OI.14
#> 11639 GFDD.OI.17
#> 11640 GFDD.OI.18
#> 11641 GFDD.OI.19
#> 12921 IC.FRM.PROD.GROW.PEFT3
#> 12935 IC.FRM.SLS.GROW.PEFT1
#> 13104 IE.ICT.TOTL.GD.ZS
#> 13171 IN.EC.GSDP.PERCAP.NOM.INR
#> 13172 IN.EC.GSDP.PERCAP.NOM.USD
#> 13173 IN.EC.GSDP.PERCAP.REAL.INR
#> 13174 IN.EC.GSDP.PERCAP.REAL.INR.GRWTHRAT
#> 13175 IN.EC.GSDP.PERCAP.REAL.USD
#> 13176 IN.EC.GSDP.PERCAP.REAL.USD.GRWTHRAT
#> 13453 IS.RRS.GOOD.KM.PP.ZS
#> 13455 IS.RRS.PASG.K2.PP.ZS
#> 13563 IT.TEL.REVN.GD.ZS
#> 15571 MO.INDEX.ECON.XQ
#> 15595 MS.MIL.XPND.GD.ZS
#> 15600 NA.GDP.ACC.FB.SNA08.CR
#> 15601 NA.GDP.ACC.FB.SNA08.KR
#> 15602 NA.GDP.AGR.CR
#> 15603 NA.GDP.AGR.KR
#> 15604 NA.GDP.AGR.SNA08.CR
#> 15605 NA.GDP.AGR.SNA08.KR
#> 15606 NA.GDP.BUSS.SNA08.CR
#> 15607 NA.GDP.BUSS.SNA08.KR
#> 15608 NA.GDP.CNST.CR
#> 15609 NA.GDP.CNST.KR
#> 15610 NA.GDP.CNST.SNA08.CR
#> 15611 NA.GDP.CNST.SNA08.KR
#> 15612 NA.GDP.EDUS.SNA08.CR
#> 15613 NA.GDP.EDUS.SNA08.KR
#> 15614 NA.GDP.ELEC.GAS.SNA08.CR
#> 15615 NA.GDP.ELEC.GAS.SNA08.KR
#> 15616 NA.GDP.EXC.OG.CR
#> 15617 NA.GDP.EXC.OG.KR
#> 15618 NA.GDP.FINS.CR
#> 15619 NA.GDP.FINS.KR
#> 15620 NA.GDP.FINS.SNA08.CR
#> 15621 NA.GDP.FINS.SNA08.KR
#> 15622 NA.GDP.HLTH.SOCW.SNA08.CR
#> 15623 NA.GDP.HLTH.SOCW.SNA08.KR
#> 15624 NA.GDP.INC.OG.CR
#> 15625 NA.GDP.INC.OG.KR
#> 15626 NA.GDP.INC.OG.SNA08.CR
#> 15627 NA.GDP.INC.OG.SNA08.KR
#> 15628 NA.GDP.INF.COMM.SNA08.CR
#> 15629 NA.GDP.INF.COMM.SNA08.KR
#> 15630 NA.GDP.MINQ.CR
#> 15631 NA.GDP.MINQ.KR
#> 15632 NA.GDP.MINQ.SNA08.CR
#> 15633 NA.GDP.MINQ.SNA08.KR
#> 15634 NA.GDP.MNF.CR
#> 15635 NA.GDP.MNF.KR
#> 15636 NA.GDP.MNF.SNA08.CR
#> 15637 NA.GDP.MNF.SNA08.KR
#> 15638 NA.GDP.PADM.DEF.SNA08.CR
#> 15639 NA.GDP.PADM.DEF.SNA08.KR
#> 15640 NA.GDP.REST.SNA08.CR
#> 15641 NA.GDP.REST.SNA08.KR
#> 15642 NA.GDP.SRV.OTHR.CR
#> 15643 NA.GDP.SRV.OTHR.KR
#> 15644 NA.GDP.SRV.OTHR.SNA08.CR
#> 15645 NA.GDP.SRV.OTHR.SNA08.KR
#> 15646 NA.GDP.TRAN.COMM.CR
#> 15647 NA.GDP.TRAN.COMM.KR
#> 15648 NA.GDP.TRAN.STOR.SNA08.CR
#> 15649 NA.GDP.TRAN.STOR.SNA08.KR
#> 15650 NA.GDP.TRD.HTL.CR
#> 15651 NA.GDP.TRD.HTL.KR
#> 15652 NA.GDP.TRD.SNA08.CR
#> 15653 NA.GDP.TRD.SNA08.KR
#> 15654 NA.GDP.UTL.CR
#> 15655 NA.GDP.UTL.KR
#> 15656 NA.GDP.WTR.WST.SNA08.CR
#> 15657 NA.GDP.WTR.WST.SNA08.KR
#> 15666 NE.CON.GOVT.ZS
#> 15668 NE.CON.PCAP.PP.CD
#> 15669 NE.CON.PCAP.PP.KD
#> 15679 NE.CON.PETC.ZS
#> 15694 NE.CON.PRVT.PP.CD
#> 15695 NE.CON.PRVT.PP.KD
#> 15696 NE.CON.PRVT.ZS
#> 15706 NE.CON.TETC.ZS
#> 15714 NE.CON.TOTL.ZG
#> 15715 NE.CON.TOTL.ZS
#> 15725 NE.DAB.TOTL.ZS
#> 15737 NE.EXP.GNFS.ZS
#> 15739 NE.GDI.CON.GOVT.CR
#> 15740 NE.GDI.CON.GOVT.SNA08.CR
#> 15741 NE.GDI.CON.NPI.CR
#> 15742 NE.GDI.CON.NPI.SNA08.CR
#> 15743 NE.GDI.CON.PRVT.CR
#> 15744 NE.GDI.CON.PRVT.SNA08.CR
#> 15745 NE.GDI.EXPT.CR
#> 15746 NE.GDI.EXPT.SNA08.CR
#> 15771 NE.GDI.FPRV.ZS
#> 15776 NE.GDI.FPUB.ZS
#> 15779 NE.GDI.FTOT.CR
#> 15786 NE.GDI.FTOT.SNA08.CR
#> 15787 NE.GDI.FTOT.ZS
#> 15788 NE.GDI.IMPT.CR
#> 15789 NE.GDI.IMPT.SNA08.CR
#> 15790 NE.GDI.INEX.SNA08.CR
#> 15795 NE.GDI.STKB.CR
#> 15799 NE.GDI.STKB.SNA08.CR
#> 15808 NE.GDI.TOTL.CR
#> 15815 NE.GDI.TOTL.SNA08.CR
#> 15816 NE.GDI.TOTL.ZG
#> 15817 NE.GDI.TOTL.ZS
#> 15827 NE.IMP.GNFS.ZS
#> 15828 NE.MRCH.GDP.ZS
#> 15834 NE.RSB.GNFS.ZG
#> 15835 NE.RSB.GNFS.ZS
#> 15838 NE.TRD.GNFS.ZS
#> 15902 NP.AGR.TOTL.ZG
#> 15906 NP.IND.TOTL.ZG
#> 15912 NP.SRV.TOTL.ZG
#> 15920 NV.AGR.PCAP.KD.ZG
#> 15930 NV.AGR.TOTL.ZG
#> 15931 NV.AGR.TOTL.ZS
#> 15951 NV.IND.MANF.ZS
#> 15965 NV.IND.TOTL.ZG
#> 15966 NV.IND.TOTL.ZS
#> 15984 NV.SRV.DISC.CD
#> 15985 NV.SRV.DISC.CN
#> 15986 NV.SRV.DISC.KN
#> 16003 NV.SRV.TETC.ZG
#> 16004 NV.SRV.TETC.ZS
#> 16010 NV.SRV.TOTL.ZS
#> 16021 NW.HCA.FEMA.PC
#> 16023 NW.HCA.FEMA.TO
#> 16025 NW.HCA.MALE.PC
#> 16027 NW.HCA.MALE.TO
#> 16029 NW.HCA.PC
#> 16031 NW.HCA.TO
#> 16033 NW.NCA.AGRI.PC
#> 16035 NW.NCA.AGRI.TO
#> 16039 NW.NCA.FISH.PC
#> 16041 NW.NCA.FISH.TO
#> 16055 NW.NCA.FTIM.PC
#> 16057 NW.NCA.FTIM.TO
#> 16063 NW.NCA.MANG.PC
#> 16065 NW.NCA.MANG.TO
#> 16083 NW.NCA.MINR.PC
#> 16085 NW.NCA.MINR.TO
#> 16125 NW.NCA.SACO.PC
#> 16127 NW.NCA.SACO.TO
#> 16129 NW.NCA.SAGA.PC
#> 16131 NW.NCA.SAGA.TO
#> 16133 NW.NCA.SAOI.PC
#> 16135 NW.NCA.SAOI.TO
#> 16137 NW.NCA.SSOI.PC
#> 16139 NW.NCA.SSOI.TO
#> 16145 NW.NFA.PC
#> 16147 NW.NFA.TO
#> 16153 NW.PCA.PC
#> 16156 NW.PCA.TO
#> 16159 NW.TOW.PC
#> 16161 NW.TOW.TO
#> 16193 NY.AGR.SUBS.GD.ZS
#> 16197 NY.GDP.COAL.RT.ZS
#> 16198 NY.GDP.DEFL.87.ZG
#> 16199 NY.GDP.DEFL.KD.ZG
#> 16200 NY.GDP.DEFL.KD.ZG.AD
#> 16201 NY.GDP.DEFL.ZS
#> 16202 NY.GDP.DEFL.ZS.87
#> 16203 NY.GDP.DEFL.ZS.AD
#> 16204 NY.GDP.DISC.CD
#> 16205 NY.GDP.DISC.CN
#> 16206 NY.GDP.DISC.KN
#> 16207 NY.GDP.FCST.CD
#> 16208 NY.GDP.FCST.CN
#> 16209 NY.GDP.FCST.KD
#> 16210 NY.GDP.FCST.KD.87
#> 16211 NY.GDP.FCST.KN
#> 16212 NY.GDP.FCST.KN.87
#> 16213 NY.GDP.FRST.RT.ZS
#> 16214 NY.GDP.MINR.RT.ZS
#> 16215 NY.GDP.MKTP.CD
#> 16216 NY.GDP.MKTP.CD.XD
#> 16217 NY.GDP.MKTP.CN
#> 16218 NY.GDP.MKTP.CN.AD
#> 16219 NY.GDP.MKTP.CN.XD
#> 16220 NY.GDP.MKTP.IN
#> 16221 NY.GDP.MKTP.KD
#> 16222 NY.GDP.MKTP.KD.87
#> 16223 NY.GDP.MKTP.KD.ZG
#> 16224 NY.GDP.MKTP.KN
#> 16225 NY.GDP.MKTP.KN.87
#> 16226 NY.GDP.MKTP.KN.87.ZG
#> 16227 NY.GDP.MKTP.PP.CD
#> 16228 NY.GDP.MKTP.PP.KD
#> 16229 NY.GDP.MKTP.PP.KD.87
#> 16230 NY.GDP.MKTP.XD
#> 16231 NY.GDP.MKTP.XU.E
#> 16232 NY.GDP.MKTP.ZG
#> 16233 NY.GDP.NGAS.RT.ZS
#> 16234 NY.GDP.PCAP.CD
#> 16235 NY.GDP.PCAP.CN
#> 16236 NY.GDP.PCAP.KD
#> 16237 NY.GDP.PCAP.KD.ZG
#> 16238 NY.GDP.PCAP.KN
#> 16239 NY.GDP.PCAP.PP.CD
#> 16240 NY.GDP.PCAP.PP.KD
#> 16241 NY.GDP.PCAP.PP.KD.87
#> 16242 NY.GDP.PCAP.PP.KD.ZG
#> 16243 NY.GDP.PETR.RT.ZS
#> 16244 NY.GDP.TOTL.RT.ZS
#> 16251 NY.GDS.TOTL.CD
#> 16252 NY.GDS.TOTL.CN
#> 16253 NY.GDS.TOTL.KD
#> 16255 NY.GDS.TOTL.KN
#> 16257 NY.GDS.TOTL.ZS
#> 16258 NY.GDY.TOTL.KD
#> 16260 NY.GDY.TOTL.KN
#> 16262 NY.GEN.AEDU.GD.ZS
#> 16263 NY.GEN.DCO2.GD.ZS
#> 16264 NY.GEN.DFOR.GD.ZS
#> 16265 NY.GEN.DKAP.GD.ZS
#> 16266 NY.GEN.DMIN.GD.ZS
#> 16267 NY.GEN.DNGY.GD.ZS
#> 16268 NY.GEN.NDOM.GD.ZS
#> 16269 NY.GEN.SVNG.GD.ZS
#> 16281 NY.GNP.MKTP.PP.CD
#> 16282 NY.GNP.MKTP.PP.KD
#> 16292 NY.GNP.PCAP.PP.CD
#> 16293 NY.GNP.PCAP.PP.KD
#> 16302 NY.GNS.ICTR.ZS
#> 16340 NYGDPMKTPKDZ
#> 16341 NYGDPMKTPSACD
#> 16342 NYGDPMKTPSACN
#> 16343 NYGDPMKTPSAKD
#> 16344 NYGDPMKTPSAKN
#> 16420 PA.NUS.GDP.PLI
#> 16421 PA.NUS.PPP
#> 16422 PA.NUS.PPP.05
#> 16423 PA.NUS.PPPC.RF
#> 16425 PA.NUS.PRVT.PP
#> 16484 PER.ALL.CNTRL.GDP
#> 16492 PER.ALL.CPL.GDP
#> 16517 PER.ALL.PS.GDP
#> 16539 PER.ALL.RCT.GDP
#> 16548 PER.ALL.SAL.GDP
#> 16557 PER.ALL.SUB.GDP
#> 16562 PER.ALL.TSAL.GDP
#> 16564 PER.ALL.TTL.GDP
#> 16565 PER.ALL.TTL.GDP.GOV
#> 16578 PER.BAS.GDP
#> 16594 PER.BAS.PS.GDP
#> 16613 PER.BAS.SAL.GDP
#> 16624 PER.EFF.GDP
#> 16625 PER.EFF.SUB.GDP
#> 16627 PER.EFF.TEACH.GDP
#> 16661 PER.JR.PS.GDP
#> 16678 PER.JR.SAL.GDP
#> 16694 PER.OC.FEED.GDP
#> 16775 PER.OC.TRA.GDP
#> 16799 PER.PP.GDP
#> 16804 PER.PP.PS.GDP
#> 16854 PER.PRM.GDP
#> 16871 PER.PRM.PS.GDP
#> 16893 PER.PRM.RCT.GDP
#> 16897 PER.PRM.SAL.GDP
#> 16949 PER.SEC.GDP
#> 16965 PER.SEC.PS.GDP
#> 16988 PER.SEC.RCT.GDP
#> 16992 PER.SEC.SAL.GDP
#> 17060 PER.SOR.GOV.GDP
#> 17120 PER.SOR.ITL.GDP
#> 17141 PER.SOR.PVT.GDP
#> 17142 PER.SOR.PVT.GDP.PP
#> 17143 PER.SOR.PVT.GDP.PRM
#> 17144 PER.SOR.PVT.GDP.SEC
#> 17145 PER.SOR.PVT.GDP.TER
#> 17200 PER.SR.PS.GDP
#> 17217 PER.SR.SAL.GDP
#> 17249 PER.TER.GDP
#> 17257 PER.TER.PS.GDP
#> 17277 PER.TER.RCT.GDP
#> 17281 PER.TER.SAL.GDP
#> 17304 PER.TT.PS.GDP
#> 17319 PER.VOC.GDP
#> 17324 PER.VOC.PS.GDP
#> 21520 REV.DAU.CR
#> 24343 SE.PRM.BFIN.6
#> 24716 SE.PRM.SATT.2
#> 24780 SE.PRM.TATT.1
#> 25007 SE.XPD.EDUC.ZS
#> 25012 SE.XPD.PRIM.GDP.ZS
#> 25013 SE.XPD.PRIM.PC.ZS
#> 25016 SE.XPD.SECO.GDP.ZS
#> 25017 SE.XPD.SECO.PC.ZS
#> 25021 SE.XPD.TERT.GDP.ZS
#> 25022 SE.XPD.TERT.PC.ZS
#> 25025 SE.XPD.TOTL.GD.ZS
#> 25045 SF.TRN.RAIL.KM.ZS
#> 25939 SH.STA.MMRT
#> 26083 SH.XPD.CHEX.GD.ZS
#> 26092 SH.XPD.GHED.GD.ZS
#> 26096 SH.XPD.HLTH.ZS
#> 26097 SH.XPD.KHEX.GD.ZS
#> 26109 SH.XPD.PRIV.ZS
#> 26112 SH.XPD.PUBL.ZS
#> 26118 SH.XPD.TOTL.ZS
#> 26292 SL.GDP.PCAP.EM.KD
#> 26293 SL.GDP.PCAP.EM.KD.ZG
#> 26294 SL.GDP.PCAP.EM.XD
#> 27036 SPI.D5.2.3.CNIN
#> 27038 SPI.D5.2.5.HOUS
#> 27043 SPI.D5.5.DIFI
#> 27078 TG.VAL.TOTL.GD.PP.ZS
#> 27079 TG.VAL.TOTL.GD.ZS
#> 27080 TG.VAL.TOTL.GG.ZS
#> 29287 UIS.X.PPPCONST.02.FSGOV
#> 29288 UIS.X.PPPCONST.1.FSGOV
#> 29289 UIS.X.PPPCONST.2.FSGOV
#> 29290 UIS.X.PPPCONST.2T3.FSGOV
#> 29291 UIS.X.PPPCONST.2T4.V.FSGOV
#> 29292 UIS.X.PPPCONST.3.FSGOV
#> 29293 UIS.X.PPPCONST.4.FSGOV
#> 29294 UIS.X.PPPCONST.5T8.FSGOV
#> 29295 UIS.X.PPPCONST.FSGOV
#> 29296 UIS.X.PPPCONST.UK.FSGOV
#> 29307 UIS.X.USCONST.02.FSGOV
#> 29308 UIS.X.USCONST.1.FSGOV
#> 29309 UIS.X.USCONST.2.FSGOV
#> 29310 UIS.X.USCONST.2T3.FSGOV
#> 29311 UIS.X.USCONST.2T4.V.FSGOV
#> 29312 UIS.X.USCONST.3.FSGOV
#> 29313 UIS.X.USCONST.4.FSGOV
#> 29314 UIS.X.USCONST.5T8.FSGOV
#> 29315 UIS.X.USCONST.FSGOV
#> 29316 UIS.X.USCONST.UK.FSGOV
#> 29317 UIS.XGDP.0.FSGOV
#> 29318 UIS.XGDP.1.FSGOV
#> 29319 UIS.XGDP.2.FSGOV
#> 29320 UIS.XGDP.23.FSGOV
#> 29321 UIS.XGDP.2T4.V.FSGOV
#> 29322 UIS.XGDP.3.FSGOV
#> 29323 UIS.XGDP.4.FSGOV
#> 29324 UIS.XGDP.56.FSGOV
#> 29374 UIS.XUNIT.GDPCAP.02.FSGOV
#> 29375 UIS.XUNIT.GDPCAP.1.FSGOV
#> 29376 UIS.XUNIT.GDPCAP.1.FSHH
#> 29377 UIS.XUNIT.GDPCAP.2.FSGOV
#> 29378 UIS.XUNIT.GDPCAP.23.FSGOV
#> 29379 UIS.XUNIT.GDPCAP.23.FSHH
#> 29380 UIS.XUNIT.GDPCAP.3.FSGOV
#> 29381 UIS.XUNIT.GDPCAP.5T8.FSGOV
#> 29382 UIS.XUNIT.GDPCAP.5T8.FSHH
#> name
#> 689 GDP (current $)
#> 690 GDP growth (annual %)
#> 691 GDP (constant 2005 $)
#> 692 GDP per capita, PPP (constant 2011 international $)
#> 2097 Trade in services (% of GDP)
#> 2098 Gross private capital flows (% of GDP, PPP)
#> 2099 Gross private capital flows (% of GDP)
#> 2100 Gross foreign direct investment (% of GDP, PPP)
#> 2101 Gross foreign direct investment (% of GDP)
#> 2402 Wage bill as a percentage of GDP
#> 2425 Merchandise imports (BOP): percentage of GDP (%)
#> 2437 Foreign direct investment, net outflows (% of GDP)
#> 2438 Foreign direct investment, net outflows (% of GDP)
#> 2451 Current account balance (% of GDP)
#> 2452 Current account balance (% of GDP)
#> 2455 Curr. acc. bal. before official transf. (% of GDP)
#> 2458 Current account balance excluding net official capital grants (% of GDP)
#> 2464 Net income (% of GDP)
#> 2473 Foreign direct investment (% of GDP)
#> 2475 Foreign direct investment, net inflows (% of GDP)
#> 2481 Private capital flows, total (% of GDP)
#> 2492 Net current transfers (% of GDP)
#> 2541 Merchandise exports (BOP): percentage of GDP (%)
#> 2553 Foreign direct investment, net inflows (% of GDP)
#> 2555 Foreign direct investment, net inflows (% of GDP)
#> 2564 Migrant remittance inflows (% of GDP)
#> 2570 Personal remittances, received (% of GDP)
#> 2571 Workers' remittances, receipts (% of GDP)
#> 2868 Total energy tax revenue (% of GDP)
#> 2869 Total environmental tax revenue (% of GDP)
#> 2944 Macro drivers of GHG emissions growth in the period 2012-2018 - Emission Intensity of GDP
#> 2945 Macro drivers of GHG emissions growth in the period 2012-2018 - GDP per capita
#> 2968 Annual investment needs for coastal protection, by risk strategy (% of GDP) - low risk tolerance
#> 2969 Annual investment needs for coastal protection, by risk strategy (% of GDP) - constant relative flood risk
#> 2970 Annual investment needs for coastal protection, by risk strategy (% of GDP) - optimal protection
#> 3033 Risk to asset (average annual losses as % of GDP)
#> 3034 Risk to wellbeing (average annual losses as % of GDP)
#> 3043 Public social protection expenditure (%of GDP)
#> 3136 Financing via international capital markets (gross inflows, % of GDP)
#> 3139 Market capitalization of listed domestic companies (% of GDP)
#> 3142 Stocks traded, total value (% of GDP)
#> 4290 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4293 Gross PSD, Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4296 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4299 Gross PSD, General Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4302 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4307 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4310 Gross PSD, Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4313 Gross PSD, Financial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4316 Gross PSD, General Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4319 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4324 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4327 Gross PSD, Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4330 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4333 Gross PSD, General Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4336 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4341 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4344 Gross PSD, Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4347 Gross PSD, Financial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 4350 Gross PSD, General Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4353 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 4358 Gross PSD, Budgetary Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4361 Gross PSD, Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4364 Gross PSD, Financial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4367 Gross PSD, General Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4370 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4375 Gross PSD, Budgetary Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4378 Gross PSD, Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4381 Gross PSD, Financial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4384 Gross PSD, General Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4387 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4390 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4393 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4396 Gross PSD, General Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4399 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4404 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4407 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4410 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4413 Gross PSD, General Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4416 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4421 Gross PSD, Nonfinancial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4425 Gross PSD, Central Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 4427 Gross PSD, General Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 4429 Gross PSD, Central Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 4431 Gross PSD, General Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 4433 Gross PSD, Central Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 4435 Gross PSD, General Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 4437 Gross PSD, Central Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 4439 Gross PSD, General Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 4441 Gross PSD, Central Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 4443 Gross PSD, General Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 4446 Gross PSD, Budgetary Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4449 Gross PSD, Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4452 Gross PSD, Financial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 4455 Gross PSD, General Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4458 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4461 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4464 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4467 Gross PSD, General Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4470 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4475 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4478 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4481 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4484 Gross PSD, General Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4487 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4492 Gross PSD, Budgetary Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4495 Gross PSD, Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4498 Gross PSD, Financial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 4501 Gross PSD, General Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4504 Gross PSD, Nonfinancial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 4509 Gross PSD, Nonfinancial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 4514 Gross PSD, Budgetary Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4517 Gross PSD, Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4520 Gross PSD, Financial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4523 Gross PSD, General Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4526 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4529 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4532 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4535 Gross PSD, General Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4538 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4543 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4546 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4549 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4552 Gross PSD, General Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4555 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4560 Gross PSD, Nonfinancial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4565 Gross PSD, Budgetary Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4568 Gross PSD, Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4571 Gross PSD, Financial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 4574 Gross PSD, General Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4577 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4580 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4583 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4586 Gross PSD, General Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4589 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4594 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4597 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4600 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4603 Gross PSD, General Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4606 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4611 Gross PSD, Nonfinancial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 4616 Gross PSD, Budgetary Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4619 Gross PSD, Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4622 Gross PSD, Financial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4625 Gross PSD, General Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4628 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4631 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4634 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4637 Gross PSD, General Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4640 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4645 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4648 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4651 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4654 Gross PSD, General Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4657 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4662 Gross PSD, Nonfinancial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4667 Gross PSD, Budgetary Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4670 Gross PSD, Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4673 Gross PSD, Financial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4676 Gross PSD, General Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4679 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4682 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4685 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4688 Gross PSD, General Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4691 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4696 Gross PSD, Nonfinancial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4701 Gross PSD, Budgetary Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4704 Gross PSD, Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4707 Gross PSD, Financial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 4710 Gross PSD, General Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4713 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4716 Gross PSD, Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4719 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4722 Gross PSD, General Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4725 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4730 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4733 Gross PSD, Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4736 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4739 Gross PSD, General Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4742 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4747 Gross PSD, Nonfinancial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 4753 Gross PSD, Budgetary Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4756 Gross PSD, Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4759 Gross PSD, Financial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4762 Gross PSD, General Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4765 Gross PSD, Nonfinancial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4770 Gross PSD, Budgetary Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4773 Gross PSD, Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4776 Gross PSD, Financial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 4779 Gross PSD, General Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4782 Gross PSD, Nonfinancial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 4787 Gross PSD, Budgetary Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4790 Gross PSD, Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4793 Gross PSD, Financial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4796 Gross PSD, General Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4799 Gross PSD, Nonfinancial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4804 Gross PSD, Budgetary Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4807 Gross PSD, Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4810 Gross PSD, Financial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 4813 Gross PSD, General Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4816 Gross PSD, Nonfinancial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 4821 Gross PSD, Budgetary Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4824 Gross PSD, Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4827 Gross PSD, Financial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4830 Gross PSD, General Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4833 Gross PSD, Nonfinancial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4838 Gross PSD, Budgetary Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4841 Gross PSD, Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4844 Gross PSD, Financial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 4847 Gross PSD, General Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4850 Gross PSD, Nonfinancial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 5346 Debt on Concessional terms to GDP (% of GDP)
#> 5349 Debt on Non-concessional terms to GDP (% of GDP)
#> 5350 Debt on Non-concessional terms to export ratio (% of exports)
#> 5504 Debt outstanding and disbursed, Total to GDP (% of GDP)
#> 7123 Net ODA received (% of GDP)
#> 7194 Net ODA received from DAC donors (% of recipient's GDP)
#> 7199 Net ODA received from multilateral donors (% of GDP)
#> 7207 Net ODA received from non-DAC bilateral donors (% of GDP)
#> 7213 Net ODA received (% of GDP)
#> 7363 Total debt service (% of GDP)
#> 7760 Economic Fitness Metric
#> 7763 Universal Economic Fitness Metric
#> 7767 Energy intensity level of primary energy (MJ/$2021 PPP GDP)
#> 7791 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 7792 GDP per unit of energy use (2000 US$ per kg of oil equivalent)
#> 7793 GDP per unit of energy use (PPP $ per kg of oil equivalent)
#> 7794 GDP per unit of energy use (constant 2021 PPP $ per kg of oil equivalent)
#> 7802 Energy use (kg of oil equivalent) per $1,000 GDP (constant 2021 PPP)
#> 7921 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 7925 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 7926 CO2 emissions (kg per 2010 US$ of GDP)
#> 7931 CO2 emissions (kg per PPP $ of GDP)
#> 7932 CO2 emissions (kg per 2011 PPP $ of GDP)
#> 8017 Carbon intensity of GDP (kg CO2e per constant 2015 US$ of GDP)
#> 8018 Carbon intensity of GDP (kg CO2e per 2021 PPP $ of GDP)
#> 8101 Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)
#> 8119 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 8173 Deposit insurance coverage (% of GDP per capita)
#> 8526 Domestic credit to private sector by banks (% of GDP)
#> 8635 Total reserves includes gold (% of GDP)
#> 10994 Claims on governments and other public entities (% of GDP)
#> 11003 Monetary Sector credit to private sector (% GDP)
#> 11012 Broad money (% of GDP)
#> 11019 Money and quasi money (M2) as % of GDP
#> 11020 Money and quasi money (M2) as % of GDP
#> 11022 Income velocity of money (GDP/M2)
#> 11027 Quasi-liquid liabilities (% of GDP)
#> 11028 Seignorage (% of GDP)
#> 11084 Real deposit interest rate (%)
#> 11093 Real interest rate (%)
#> 11098 Claims on central government, etc. (% GDP)
#> 11099 Claims on other sectors of the domestic economy (% of GDP)
#> 11100 Domestic credit provided by financial sector (% of GDP)
#> 11101 Domestic credit provided by banking sector (% of GDP)
#> 11103 Domestic credit to private sector (% of GDP)
#> 11104 Credit to private sector (% of GDP)
#> 11105 Liquid liabilities (M3) as % of GDP
#> 11106 Liquid liabilities (M3) as % of GDP
#> 11107 Quasi-liquid liabilities (% of GDP)
#> 11170 Overall budget balance, including grants (% of GDP)
#> 11171 Overall budget deficit, including grants (% of GDP)
#> 11180 Central government debt, total (% of GDP)
#> 11181 Central government debt, total (% of GDP)
#> 11185 Financing from abroad (% of GDP)
#> 11186 Financing from abroad (% of GDP)
#> 11190 Domestic financing, total (% of GDP)
#> 11191 Domestic finanacing (% of GDP)
#> 11201 Current revenue, excluding grants (% of GDP)
#> 11204 Current revenue (% of GDP)
#> 11206 Central government revenues, excluding all grants (% of GDP)
#> 11209 Current revenue, excluding grants (% of GDP)
#> 11211 SOE external debt (% of GDP)
#> 11213 State-owned enterprises, economic activity (% of GDP)
#> 11214 SOE economic activity (% of GDP)
#> 11217 State-owned enterprises, net financial flows from government (% of GDP)
#> 11218 SOE net financial flows from government (% of GDP)
#> 11219 State-owned enterprises, overall balance before transfers (% of GDP)
#> 11220 SOE overall balance before transfers (% of total)
#> 11245 Tax revenue (% of GDP)
#> 11246 Tax revenue (% of GDP)
#> 11264 Defense expenditure (% of GDP)
#> 11267 Research and development expenditure (% of GDP)
#> 11270 Expenditure, total (% of GDP)
#> 11271 Total expenditure (% of GDP)
#> 11278 Net acquisition of financial assets (% of GDP)
#> 11281 Cash surplus/deficit (% of GDP)
#> 11286 Central government debt, total (% of GDP)
#> 11290 Net incurrence of liabilities, domestic (% of GDP)
#> 11292 Net incurrence of liabilities, foreign (% of GDP)
#> 11294 Net incurrence of liabilities, total (% of GDP)
#> 11296 Net investment in nonfinancial assets (% of GDP)
#> 11298 Net lending (+) / net borrowing (-) (% of GDP)
#> 11309 Revenue, excluding grants (% of GDP)
#> 11324 Tax revenue (% of GDP)
#> 11341 Expense (% of GDP)
#> 11584 Private credit by deposit money banks to GDP (%)
#> 11585 Deposit money banks'' assets to GDP (%)
#> 11586 Nonbank financial institutions’ assets to GDP (%)
#> 11588 Liquid liabilities to GDP (%)
#> 11589 Central bank assets to GDP (%)
#> 11590 Mutual fund assets to GDP (%)
#> 11591 Financial system deposits to GDP (%)
#> 11592 Life insurance premium volume to GDP (%)
#> 11593 Non-life insurance premium volume to GDP (%)
#> 11594 Insurance company assets to GDP (%)
#> 11595 Private credit by deposit money banks and other financial institutions to GDP (%)
#> 11596 Pension fund assets to GDP (%)
#> 11597 Domestic credit to private sector (% of GDP)
#> 11598 Stock market capitalization to GDP (%)
#> 11599 Stock market total value traded to GDP (%)
#> 11600 Outstanding domestic private debt securities to GDP (%)
#> 11601 Outstanding domestic public debt securities to GDP (%)
#> 11602 Outstanding international private debt securities to GDP (%)
#> 11603 Outstanding international public debt securities to GDP (%)
#> 11604 International debt issues to GDP (%)
#> 11605 Gross portfolio equity liabilities to GDP (%)
#> 11606 Gross portfolio equity assets to GDP (%)
#> 11607 Gross portfolio debt liabilities to GDP (%)
#> 11608 Gross portfolio debt assets to GDP (%)
#> 11609 Syndicated loan issuance volume to GDP (%)
#> 11610 Corporate bond issuance volume to GDP (%)
#> 11613 Credit flows by fintech and bigtech companies to GDP (%)
#> 11621 Credit to government and state-owned enterprises to GDP (%)
#> 11626 Bank deposits to GDP (%)
#> 11629 Loans from nonresident banks (net) to GDP (%)
#> 11630 Loans from nonresident banks (amounts outstanding) to GDP (%)
#> 11634 Remittance inflows to GDP (%)
#> 11635 Consolidated foreign claims of BIS reporting banks to GDP (%)
#> 11639 Global leasing volume to GDP (%)
#> 11640 Total factoring volume to GDP (%)
#> 11641 Banking crisis dummy (1=banking crisis, 0=none)
#> 12921 Real annual labor productivity growth (%)
#> 12935 Real annual sales growth (%)
#> 13104 Information and communication technology expenditure (% of GDP)
#> 13171 Nominal GSDP Per Capita (INR)
#> 13172 Nominal GSDP Per Capita (USD)
#> 13173 Real GSDP Per Capita (INR)
#> 13174 Real GSDP Per Capita (INR) Growth Rate
#> 13175 Real GSDP Per Capita (USD)
#> 13176 Real GSDP Per Capita (USD) Growth Rate
#> 13453 Railways, goods transported (ton-km per PPP $ million of GDP)
#> 13455 Railways, passenger-km (per PPP $ million of GDP)
#> 13563 Telecommunications revenue (% GDP)
#> 15571 Sustainable Economic Opportunity
#> 15595 Military expenditure (% of GDP)
#> 15600 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15601 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15602 GDP on Agriculture Sector (in IDR Million), Current Price
#> 15603 GDP on Agriculture Sector (in IDR Million), Constant Price
#> 15604 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Current Price
#> 15605 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Constant Price
#> 15606 GDP on Business Services Sector (in IDR Million), SNA 2008, Current Price
#> 15607 GDP on Business Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15608 GDP on Construction Sector (in IDR Million), Current Price
#> 15609 GDP on Construction Sector (in IDR Million), Constant Price
#> 15610 GDP on Construction Sector (in IDR Million), SNA 2008, Current Price
#> 15611 GDP on Construction Sector (in IDR Million), SNA 2008, Constant Price
#> 15612 GDP on Education Services Sector (in IDR Million), SNA 2008, Current Price
#> 15613 GDP on Education Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15614 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Current Price
#> 15615 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Constant Price
#> 15616 Total GDP excluding Oil and Gas (in IDR Million), Current Price
#> 15617 Total GDP excluding Oil and Gas (in IDR Million), Constant Price
#> 15618 GDP on Financial Service Sector (in IDR Million), Current Price
#> 15619 GDP on Financial Service Sector (in IDR Million), Constant Price
#> 15620 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15621 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15622 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15623 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15624 Total GDP including Oil and Gas (in IDR Million), Current Price
#> 15625 Total GDP including Oil and Gas (in IDR Million), Constant Price
#> 15626 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Current Price
#> 15627 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Constant Price
#> 15628 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Current Price
#> 15629 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Constant Price
#> 15630 GDP on Mining and Quarrying Sector (in IDR Million), Current Price
#> 15631 GDP on Mining and Quarrying Sector (in IDR Million), Constant Price
#> 15632 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Current Price
#> 15633 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Constant Price
#> 15634 GDP on Manufacturing Sector (in IDR Million), Current Price
#> 15635 GDP on Manufacturing Sector (in IDR Million), Constant Price
#> 15636 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Current Price
#> 15637 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Constant Price
#> 15638 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Current Price
#> 15639 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Constant Price
#> 15640 GDP on Real Estate Sector (in IDR Million), SNA 2008, Current Price
#> 15641 GDP on Real Estate Sector (in IDR Million), SNA 2008, Constant Price
#> 15642 GDP on Other Service Sector (in IDR Million), Current Price
#> 15643 GDP on Other Service Sector (in IDR Million), Constant Price
#> 15644 GDP on Other Services Sector (in IDR Million), SNA 2008, Current Price
#> 15645 GDP on Other Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15646 GDP on Transportation and Telecommunication Sector (in IDR Million), Current Price
#> 15647 GDP on Transportation and Telecommunication Sector (in IDR Million), Constant Price
#> 15648 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Current Price
#> 15649 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Constant Price
#> 15650 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Current Price
#> 15651 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Constant Price
#> 15652 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Current Price
#> 15653 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Constant Price
#> 15654 GDP on Utilities Sector (in IDR Million), Current Price
#> 15655 GDP on Utilities Sector (in IDR Million), Constant Price
#> 15656 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Current Price
#> 15657 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Constant Price
#> 15666 General government final consumption expenditure (% of GDP)
#> 15668 Households and NPISHs Final consumption expenditure per capita, PPP (current international $)
#> 15669 Households and NPISHs Final consumption expenditure per capita, PPP (constant 2021 international $)
#> 15679 Household final consumption expenditure, etc. (% of GDP)
#> 15694 Households and NPISHs Final consumption expenditure, PPP (current international $)
#> 15695 Households and NPISHs Final consumption expenditure, PPP (constant 2021 international $)
#> 15696 Households and NPISHs final consumption expenditure (% of GDP)
#> 15706 Final consumption expenditure, etc. (% of GDP)
#> 15714 Total consumption: contribution to growth of GDP (%)
#> 15715 Final consumption expenditure (% of GDP)
#> 15725 Gross national expenditure (% of GDP)
#> 15737 Exports of goods and services (% of GDP)
#> 15739 GDP expenditure on general government consumption (in IDR Million)
#> 15740 GDP expenditure on general government consumption (in IDR Million), SNA 2008, Current Price
#> 15741 GDP expenditure on non profit private institution consumption (in IDR Million)
#> 15742 GDP expenditure on non profit private institution consumption (in IDR Million), SNA 2008, Current Price
#> 15743 GDP expenditure on private consumption (in IDR Million)
#> 15744 GDP expenditure on private consumption (in IDR Million), SNA 2008, Current Price
#> 15745 GDP expenditure on exports (in IDR Million)
#> 15746 GDP expenditure on exports (in IDR Million), SNA 2008, Current Price
#> 15771 Gross fixed capital formation, private sector (% of GDP)
#> 15776 Gross public investment (% of GDP)
#> 15779 GDP expenditure on gross fixed capital formation (in IDR Million)
#> 15786 GDP expenditure on gross fixed capital formation (in IDR Million), SNA 2008, Current Price
#> 15787 Gross fixed capital formation (% of GDP)
#> 15788 GDP expenditure on imports (in IDR Million)
#> 15789 GDP expenditure on imports (in IDR Million), SNA 2008, Current Price
#> 15790 GDP expenditure on inter-region net exports (in IDR Million), SNA 2008, Current Price
#> 15795 GDP expenditure on changes in stock (in IDR Million)
#> 15799 GDP expenditure on changes in stock (in IDR Million), SNA 2008, Current Price
#> 15808 Total GDP based on expenditure (in IDR Million)
#> 15815 Total GDP based on expenditure (in IDR Million), SNA 2008, Current Price
#> 15816 Gross domestic investment: contr. to growth of GDP(%)
#> 15817 Gross capital formation (% of GDP)
#> 15827 Imports of goods and services (% of GDP)
#> 15828 Merchandise trade to GDP ratio (%)
#> 15834 Resource balance: contribution to growth of GDP (%)
#> 15835 External balance on goods and services (% of GDP)
#> 15838 Trade (% of GDP)
#> 15902 Agriculture: contribution to growth of GDP (%)
#> 15906 Industry: contribution to growth of GDP (%)
#> 15912 Services: contribution to growth of GDP (%)
#> 15920 Real agricultural GDP per capita growth rate (%)
#> 15930 Real agricultural GDP growth rates (%)
#> 15931 Agriculture, forestry, and fishing, value added (% of GDP)
#> 15951 Manufacturing, value added (% of GDP)
#> 15965 Industry: contribution to growth of GDP (%)
#> 15966 Industry (including construction), value added (% of GDP)
#> 15984 Discrepancy in GDP, value added (current US$)
#> 15985 Discrepancy in GDP, value added (current LCU)
#> 15986 Discrepancy in GDP, value added (constant LCU)
#> 16003 Services: contribution to growth of GDP (%)
#> 16004 Services, etc., value added (% of GDP)
#> 16010 Services, value added (% of GDP)
#> 16021 Human capital per capita, female (real chained 2019 US$)
#> 16023 Human capital, female (real chained 2019 US$)
#> 16025 Human capital per capita, male (real chained 2019 US$)
#> 16027 Human capital, male (real chained 2019 US$)
#> 16029 Human capital per capita (real chained 2019 US$)
#> 16031 Human capital (real chained 2019 US$)
#> 16033 Renewable natural capital per capita, agricultural land (real chained 2019 US$)
#> 16035 Renewable natural capital, agricultural land (real chained 2019 US$)
#> 16039 Renewable natural capital per capita, fisheries (real chained 2019 US$)
#> 16041 Renewable natural capital, fisheries (real chained 2019 US$)
#> 16055 Renewable natural capital per capita, timber (real chained 2019 US$)
#> 16057 Renewable natural capital, timber (real chained 2019 US$)
#> 16063 Renewable natural capital per capita, mangroves (real chained 2019 US$)
#> 16065 Renewable natural capital, mangroves (real chained 2019 US$)
#> 16083 Nonrenewable natural capital per capita, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16085 Nonrenewable natural capital, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16125 Nonrenewable natural capital per capita, coal (real chained 2019 US$)
#> 16127 Nonrenewable natural capital, coal (real chained 2019 US$)
#> 16129 Nonrenewable natural capital per capita, natural gas (real chained 2019 US$)
#> 16131 Nonrenewable natural capital, natural gas (real chained 2019 US$)
#> 16133 Nonrenewable natural capital per capita, oil (real chained 2019 US$)
#> 16135 Nonrenewable natural capital, oil (real chained 2019 US$)
#> 16137 Nonrenewable natural capital per capita, total (real chained 2019 US$)
#> 16139 Nonrenewable natural capital, total (real chained 2019 US$)
#> 16145 Foreign assets per capita (real chained 2019 US$)
#> 16147 Foreign assets (real chained 2019 US$)
#> 16153 Produced capital per capita (real chained 2019 US$)
#> 16156 Produced capital (real chained 2019 US$)
#> 16159 National comprehensive wealth per capita index (real chained 2019 US$)
#> 16161 National comprehensive wealth index (real chained 2019 US$)
#> 16193 Agricultural support estimate (% of GDP)
#> 16197 Coal rents (% of GDP)
#> 16198 Inflation, GDP deflator (annual %)
#> 16199 Inflation, GDP deflator (annual %)
#> 16200 Inflation, GDP deflator: linked series (annual %)
#> 16201 GDP deflator (base year varies by country)
#> 16202 GDP deflator (1987 = 100)
#> 16203 GDP deflator: linked series (base year varies by country)
#> 16204 Discrepancy in expenditure estimate of GDP (current US$)
#> 16205 Discrepancy in expenditure estimate of GDP (current LCU)
#> 16206 Discrepancy in expenditure estimate of GDP (constant LCU)
#> 16207 Gross value added at basic prices (GVA) (current US$)
#> 16208 Gross value added at basic prices (GVA) (current LCU)
#> 16209 Gross value added at basic prices (GVA) (constant 2015 US$)
#> 16210 GDP at factor cost (constant 1987 US$)
#> 16211 Gross value added at basic prices (GVA) (constant LCU)
#> 16212 GDP at factor cost (constant 1987 LCU)
#> 16213 Forest rents (% of GDP)
#> 16214 Mineral rents (% of GDP)
#> 16215 GDP (current US$)
#> 16216 GDP deflator, index (2000=100; US$ series)
#> 16217 GDP (current LCU)
#> 16218 GDP: linked series (current LCU)
#> 16219 GDP deflator, period average (LCU index 2000=100)
#> 16220 GDP Deflator
#> 16221 GDP (constant 2015 US$)
#> 16222 GDP at market prices (constant 1987 US$)
#> 16223 GDP growth (annual %)
#> 16224 GDP (constant LCU)
#> 16225 GDP at market prices (constant 1987 LCU)
#> 16226 GDP growth (annual %)
#> 16227 GDP, PPP (current international $)
#> 16228 GDP, PPP (constant 2021 international $)
#> 16229 GDP, PPP (constant 1987 international $)
#> 16230 GDP deflator (1987=100,Index)
#> 16231 GDP deflator, end period (base year varies by country)
#> 16232 Gross domestic product (Av. annual growth, %)
#> 16233 Natural gas rents (% of GDP)
#> 16234 GDP per capita (current US$)
#> 16235 GDP per capita (current LCU)
#> 16236 GDP per capita (constant 2015 US$)
#> 16237 GDP per capita growth (annual %)
#> 16238 GDP per capita (constant LCU)
#> 16239 GDP per capita, PPP (current international $)
#> 16240 GDP per capita, PPP (constant 2021 international $)
#> 16241 GDP per capita, PPP (constant 1987 international $)
#> 16242 GDP per capita, PPP annual growth (%)
#> 16243 Oil rents (% of GDP)
#> 16244 Total natural resources rents (% of GDP)
#> 16251 Gross domestic savings (current US$)
#> 16252 Gross domestic savings (current LCU)
#> 16253 Gross domestic savings, total (constant 2000 US$)
#> 16255 Gross domestic savings (constant LCU)
#> 16257 Gross domestic savings (% of GDP)
#> 16258 Gross domestic income (constant 2005 US$)
#> 16260 Gross domestic income (constant LCU)
#> 16262 Genuine savings: education expenditure (% of GDP)
#> 16263 Genuine savings: carbon dioxide damage (% of GDP)
#> 16264 Genuine savings: net forest depletion (% of GDP)
#> 16265 Genuine savings: consumption of fixed capital (% of GDP)
#> 16266 Genuine savings: mineral depletion (% of GDP)
#> 16267 Genuine savings: energy depletion (% of GDP)
#> 16268 Genuine savings: net domestic savings (% of GDP)
#> 16269 Genuine domestic savings (% of GDP)
#> 16281 GNI, PPP (current international $)
#> 16282 GNI, PPP (constant 2021 international $)
#> 16292 GNI per capita, PPP (current international $)
#> 16293 GNI per capita, PPP (constant 2021 international $)
#> 16302 Gross savings (% of GDP)
#> 16340 GDP growth, constant (average 2010-19 prices and exchange rates)
#> 16341 GDP,current US$,millions,seas. adj.,
#> 16342 GDP,current LCU,millions,seas. adj.,
#> 16343 GDP,constant 2010 US$,millions,seas. adj.,
#> 16344 GDP,constant 2010 LCU,millions,seas. adj.,
#> 16420 Price level index (GDP)
#> 16421 PPP conversion factor, GDP (LCU per international $)
#> 16422 2005 PPP conversion factor, GDP (LCU per international $)
#> 16423 Price level ratio of PPP conversion factor (GDP) to market exchange rate
#> 16425 PPP conversion factor, households and NPISHs Final consumption expenditure (LCU per international $)
#> 16484 World Bank: Share of GDP for central government expenditures on education (%)
#> 16492 World Bank: Public capital expenditure on education as % of GDP
#> 16517 World Bank: Public education expenditure per student (% of GDP per capita)
#> 16539 World Bank: Public recurrent expenditure on education (% of GDP)
#> 16548 World Bank: Education salary expenditures as a % of GDP
#> 16557 World Bank: Share of GDP for subnational government expenditures on education (%)
#> 16562 World Bank: Ratio of Teacher Salaries to per capita GDP
#> 16564 World Bank: Total education expenditure as % of GDP
#> 16565 World Bank: Total public education expenditure as % of GDP
#> 16578 World Bank: Share of GDP for education expenditures on basic education (%)
#> 16594 World Bank: Public education expenditure per student (% of GDP per capita), basic
#> 16613 World Bank: Ratio of Teacher Salaries to per capita GDP, basic education
#> 16624 World Bank: Share of GDP lost through inefficiencies (%)
#> 16625 World Bank: Share of GDP potentially saved with improved targeting of education subsidies (%)
#> 16627 World Bank: Share of GDP potentially saved with improved pupil/teacher ratios (%)
#> 16661 World Bank: Public education expenditure per student (% of GDP per capita), junior secondary
#> 16678 World Bank: Ratio of Teacher Salaries to per capita GDP, junior secondary
#> 16694 World Bank: School Feeding Programs (% of GDP)
#> 16775 World Bank: Central Government Transfers for education (% of GDP)
#> 16799 World Bank: Share of GDP for education expenditures on pre-primary education (%)
#> 16804 World Bank: Public education expenditure per student (% of GDP per capita), pre-primary
#> 16854 World Bank: Share of GDP for education expenditures on primary education (%)
#> 16871 World Bank: Public education expenditure per student (% of GDP per capita), primary
#> 16893 World Bank: Primary recurrent expenditures as a share of GDP (%)
#> 16897 World Bank: Ratio of Teacher Salaries to per capita GDP, primary
#> 16949 World Bank: Share of GDP for education expenditures on secondary education (%)
#> 16965 World Bank: Public education expenditure per student (% of GDP per capita), secondary
#> 16988 World Bank: Secondary recurrent expenditures as a share of GDP (%)
#> 16992 World Bank: Ratio of Teacher Salaries to per capita GDP, secondary
#> 17060 World Bank: Total education expenditure from public sources (% of GDP)
#> 17120 World Bank: Total education expenditures from international sources as a % of GDP
#> 17141 World Bank: Total private expenditure on education (% of GDP)
#> 17142 World Bank: Total private expenditure on pre-primary education (% of GDP)
#> 17143 World Bank: Total private expenditure on primary education (% of GDP)
#> 17144 World Bank: Total private expenditure on secondary education (% of GDP)
#> 17145 World Bank: Total private expenditure on tertiary education (% of GDP)
#> 17200 World Bank: Public education expenditure per student (% of GDP per capita), senior secondary
#> 17217 World Bank: Ratio of Teacher Salaries to per capita GDP, senior secondary
#> 17249 World Bank: Share of GDP for education expenditures on tertiary education (%)
#> 17257 World Bank: Public education expenditure per student (% of GDP per capita), tertiary
#> 17277 World Bank: Tertiary recurrent expenditures as a share of GDP (%)
#> 17281 World Bank: Ratio of Teacher Salaries to per capita GDP, tertiary
#> 17304 World Bank: Public education expenditure per student (% of GDP per capita), teacher training
#> 17319 World Bank: Share of GDP for education expenditures on technical/vocational education (%)
#> 17324 World Bank: Public education expenditure per student (% of GDP per capita), technical/vocational education
#> 21520 Total General Allocation Grant/DAU (in IDR)
#> 24343 (Financing) - Does the country spend 4-5% of GDP or 15-20% of public expenditures on education spending?
#> 24716 (De Facto) Average principal salary as percent of GDP per capita
#> 24780 (De Jure) Average starting public-school teacher salary as percent of GDP per capita
#> 25007 Public Expenditure on Education (% GDP)
#> 25012 Public spending on education, primary (% of GDP)
#> 25013 Government expenditure per student, primary (% of GDP per capita)
#> 25016 Public spending on education, secondary (% of GDP)
#> 25017 Government expenditure per student, secondary (% of GDP per capita)
#> 25021 Public spending on education, tertiary (% of GDP)
#> 25022 Government expenditure per student, tertiary (% of GDP per capita)
#> 25025 Government expenditure on education, total (% of GDP)
#> 25045 Rail traffic (km per million US$ GDP)
#> 25939 Maternal mortality ratio (modeled estimate, per 100,000 live births)
#> 26083 Current health expenditure (% of GDP)
#> 26092 Domestic general government health expenditure (% of GDP)
#> 26096 Public Expenditure on Health (% GDP)
#> 26097 Capital health expenditure (% of GDP)
#> 26109 Health expenditure, private (% of GDP)
#> 26112 Health expenditure, public (% of GDP)
#> 26118 Health expenditure, total (% of GDP)
#> 26292 GDP per person employed (constant 2021 PPP $)
#> 26293 GDP per person employed (annual % growth)
#> 26294 GDP per person employed, index (1980 = 100)
#> 27036 Classification of national industry
#> 27038 Classification of household consumption
#> 27043 Finance Indicator based on PARIS21 indicators on SDG 17.18.3 & SDG 17.19.1
#> 27078 Trade (% of GDP, PPP)
#> 27079 Merchandise trade (% of GDP)
#> 27080 Trade in goods (% of goods GDP)
#> 29287 Government expenditure on pre-primary education, constant PPP$ (millions)
#> 29288 Government expenditure on primary education, constant PPP$ (millions)
#> 29289 Government expenditure on lower secondary education, constant PPP$ (millions)
#> 29290 Government expenditure on secondary education, constant PPP$ (millions)
#> 29291 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant PPP$ (millions)
#> 29292 Government expenditure on upper secondary education, constant PPP$ (millions)
#> 29293 Government expenditure on post-secondary non-tertiary education, constant PPP$ (millions)
#> 29294 Government expenditure on tertiary education, constant PPP$ (millions)
#> 29295 Government expenditure on education, constant PPP$ (millions)
#> 29296 Government expenditure on education not specified by level, constant PPP$ (millions)
#> 29307 Government expenditure on pre-primary education, constant US$ (millions)
#> 29308 Government expenditure on primary education, constant US$ (millions)
#> 29309 Government expenditure on lower secondary education, constant US$ (millions)
#> 29310 Government expenditure on secondary education, constant US$ (millions)
#> 29311 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant US$ (millions)
#> 29312 Government expenditure on upper secondary education, constant US$ (millions)
#> 29313 Government expenditure on post-secondary non-tertiary education, constant US$ (millions)
#> 29314 Government expenditure on tertiary education, constant US$ (millions)
#> 29315 Government expenditure on education, constant US$ (millions)
#> 29316 Government expenditure on education not specified by level, constant US$ (millions)
#> 29317 Government expenditure on pre-primary education as % of GDP (%)
#> 29318 Government expenditure on primary education as % of GDP (%)
#> 29319 Government expenditure on lower secondary education as a percentage of GDP (%)
#> 29320 Government expenditure on secondary education as % of GDP (%)
#> 29321 Government expenditure on secondary and post-secondary non-tertiary vocational education as % of GDP (%)
#> 29322 Government expenditure on upper secondary education as a percentage of GDP (%)
#> 29323 Government expenditure on post-secondary non-tertiary education as % of GDP (%)
#> 29324 Government expenditure on tertiary education as % of GDP (%)
#> 29374 Initial government funding per pre-primary student as a percentage of GDP per capita
#> 29375 Initial government funding per primary student as a percentage of GDP per capita
#> 29376 Initial household funding per primary student as a percentage of GDP per capita
#> 29377 Initial government funding per lower secondary student as a percentage of GDP per capita
#> 29378 Initial government funding per secondary student as a percentage of GDP per capita
#> 29379 Initial household funding per secondary student as a percentage of GDP per capita
#> 29380 Initial government funding per upper secondary student as a percentage of GDP per capita
#> 29381 Initial government funding per tertiary student as a percentage of GDP per capita
#> 29382 Initial household funding per tertiary student as a percentage of GDP per capita
#> unit source_id source_value
#> 689 <NA> 37 LAC Equity Lab
#> 690 <NA> 37 LAC Equity Lab
#> 691 <NA> 37 LAC Equity Lab
#> 692 <NA> 37 LAC Equity Lab
#> 2097 <NA> 2 World Development Indicators
#> 2098 <NA> 57 WDI Database Archives
#> 2099 <NA> 57 WDI Database Archives
#> 2100 <NA> 57 WDI Database Archives
#> 2101 <NA> 57 WDI Database Archives
#> 2402 <NA> 64 Worldwide Bureaucracy Indicators
#> 2425 <NA> 57 WDI Database Archives
#> 2437 <NA> 57 WDI Database Archives
#> 2438 <NA> 2 World Development Indicators
#> 2451 <NA> 2 World Development Indicators
#> 2452 <NA> 57 WDI Database Archives
#> 2455 <NA> 57 WDI Database Archives
#> 2458 <NA> 11 Africa Development Indicators
#> 2464 <NA> 11 Africa Development Indicators
#> 2473 <NA> 11 Africa Development Indicators
#> 2475 <NA> 57 WDI Database Archives
#> 2481 <NA> 11 Africa Development Indicators
#> 2492 <NA> 11 Africa Development Indicators
#> 2541 <NA> 57 WDI Database Archives
#> 2553 <NA> 57 WDI Database Archives
#> 2555 <NA> 2 World Development Indicators
#> 2564 <NA> 11 Africa Development Indicators
#> 2570 <NA> 2 World Development Indicators
#> 2571 <NA> 11 Africa Development Indicators
#> 2868 <NA> 87 Country Climate and Development Report (CCDR)
#> 2869 <NA> 87 Country Climate and Development Report (CCDR)
#> 2944 <NA> 87 Country Climate and Development Report (CCDR)
#> 2945 <NA> 87 Country Climate and Development Report (CCDR)
#> 2968 <NA> 87 Country Climate and Development Report (CCDR)
#> 2969 <NA> 87 Country Climate and Development Report (CCDR)
#> 2970 <NA> 87 Country Climate and Development Report (CCDR)
#> 3033 <NA> 87 Country Climate and Development Report (CCDR)
#> 3034 <NA> 87 Country Climate and Development Report (CCDR)
#> 3043 <NA> 87 Country Climate and Development Report (CCDR)
#> 3136 <NA> 57 WDI Database Archives
#> 3139 <NA> 2 World Development Indicators
#> 3142 <NA> 2 World Development Indicators
#> 4290 <NA> 20 Quarterly Public Sector Debt
#> 4293 <NA> 20 Quarterly Public Sector Debt
#> 4296 <NA> 20 Quarterly Public Sector Debt
#> 4299 <NA> 20 Quarterly Public Sector Debt
#> 4302 <NA> 20 Quarterly Public Sector Debt
#> 4307 <NA> 20 Quarterly Public Sector Debt
#> 4310 <NA> 20 Quarterly Public Sector Debt
#> 4313 <NA> 20 Quarterly Public Sector Debt
#> 4316 <NA> 20 Quarterly Public Sector Debt
#> 4319 <NA> 20 Quarterly Public Sector Debt
#> 4324 <NA> 20 Quarterly Public Sector Debt
#> 4327 <NA> 20 Quarterly Public Sector Debt
#> 4330 <NA> 20 Quarterly Public Sector Debt
#> 4333 <NA> 20 Quarterly Public Sector Debt
#> 4336 <NA> 20 Quarterly Public Sector Debt
#> 4341 <NA> 20 Quarterly Public Sector Debt
#> 4344 <NA> 20 Quarterly Public Sector Debt
#> 4347 <NA> 20 Quarterly Public Sector Debt
#> 4350 <NA> 20 Quarterly Public Sector Debt
#> 4353 <NA> 20 Quarterly Public Sector Debt
#> 4358 <NA> 20 Quarterly Public Sector Debt
#> 4361 <NA> 20 Quarterly Public Sector Debt
#> 4364 <NA> 20 Quarterly Public Sector Debt
#> 4367 <NA> 20 Quarterly Public Sector Debt
#> 4370 <NA> 20 Quarterly Public Sector Debt
#> 4375 <NA> 20 Quarterly Public Sector Debt
#> 4378 <NA> 20 Quarterly Public Sector Debt
#> 4381 <NA> 20 Quarterly Public Sector Debt
#> 4384 <NA> 20 Quarterly Public Sector Debt
#> 4387 <NA> 20 Quarterly Public Sector Debt
#> 4390 <NA> 20 Quarterly Public Sector Debt
#> 4393 <NA> 20 Quarterly Public Sector Debt
#> 4396 <NA> 20 Quarterly Public Sector Debt
#> 4399 <NA> 20 Quarterly Public Sector Debt
#> 4404 <NA> 20 Quarterly Public Sector Debt
#> 4407 <NA> 20 Quarterly Public Sector Debt
#> 4410 <NA> 20 Quarterly Public Sector Debt
#> 4413 <NA> 20 Quarterly Public Sector Debt
#> 4416 <NA> 20 Quarterly Public Sector Debt
#> 4421 <NA> 20 Quarterly Public Sector Debt
#> 4425 <NA> 20 Quarterly Public Sector Debt
#> 4427 <NA> 20 Quarterly Public Sector Debt
#> 4429 <NA> 20 Quarterly Public Sector Debt
#> 4431 <NA> 20 Quarterly Public Sector Debt
#> 4433 <NA> 20 Quarterly Public Sector Debt
#> 4435 <NA> 20 Quarterly Public Sector Debt
#> 4437 <NA> 20 Quarterly Public Sector Debt
#> 4439 <NA> 20 Quarterly Public Sector Debt
#> 4441 <NA> 20 Quarterly Public Sector Debt
#> 4443 <NA> 20 Quarterly Public Sector Debt
#> 4446 <NA> 20 Quarterly Public Sector Debt
#> 4449 <NA> 20 Quarterly Public Sector Debt
#> 4452 <NA> 20 Quarterly Public Sector Debt
#> 4455 <NA> 20 Quarterly Public Sector Debt
#> 4458 <NA> 20 Quarterly Public Sector Debt
#> 4461 <NA> 20 Quarterly Public Sector Debt
#> 4464 <NA> 20 Quarterly Public Sector Debt
#> 4467 <NA> 20 Quarterly Public Sector Debt
#> 4470 <NA> 20 Quarterly Public Sector Debt
#> 4475 <NA> 20 Quarterly Public Sector Debt
#> 4478 <NA> 20 Quarterly Public Sector Debt
#> 4481 <NA> 20 Quarterly Public Sector Debt
#> 4484 <NA> 20 Quarterly Public Sector Debt
#> 4487 <NA> 20 Quarterly Public Sector Debt
#> 4492 <NA> 20 Quarterly Public Sector Debt
#> 4495 <NA> 20 Quarterly Public Sector Debt
#> 4498 <NA> 20 Quarterly Public Sector Debt
#> 4501 <NA> 20 Quarterly Public Sector Debt
#> 4504 <NA> 20 Quarterly Public Sector Debt
#> 4509 <NA> 20 Quarterly Public Sector Debt
#> 4514 <NA> 20 Quarterly Public Sector Debt
#> 4517 <NA> 20 Quarterly Public Sector Debt
#> 4520 <NA> 20 Quarterly Public Sector Debt
#> 4523 <NA> 20 Quarterly Public Sector Debt
#> 4526 <NA> 20 Quarterly Public Sector Debt
#> 4529 <NA> 20 Quarterly Public Sector Debt
#> 4532 <NA> 20 Quarterly Public Sector Debt
#> 4535 <NA> 20 Quarterly Public Sector Debt
#> 4538 <NA> 20 Quarterly Public Sector Debt
#> 4543 <NA> 20 Quarterly Public Sector Debt
#> 4546 <NA> 20 Quarterly Public Sector Debt
#> 4549 <NA> 20 Quarterly Public Sector Debt
#> 4552 <NA> 20 Quarterly Public Sector Debt
#> 4555 <NA> 20 Quarterly Public Sector Debt
#> 4560 <NA> 20 Quarterly Public Sector Debt
#> 4565 <NA> 20 Quarterly Public Sector Debt
#> 4568 <NA> 20 Quarterly Public Sector Debt
#> 4571 <NA> 20 Quarterly Public Sector Debt
#> 4574 <NA> 20 Quarterly Public Sector Debt
#> 4577 <NA> 20 Quarterly Public Sector Debt
#> 4580 <NA> 20 Quarterly Public Sector Debt
#> 4583 <NA> 20 Quarterly Public Sector Debt
#> 4586 <NA> 20 Quarterly Public Sector Debt
#> 4589 <NA> 20 Quarterly Public Sector Debt
#> 4594 <NA> 20 Quarterly Public Sector Debt
#> 4597 <NA> 20 Quarterly Public Sector Debt
#> 4600 <NA> 20 Quarterly Public Sector Debt
#> 4603 <NA> 20 Quarterly Public Sector Debt
#> 4606 <NA> 20 Quarterly Public Sector Debt
#> 4611 <NA> 20 Quarterly Public Sector Debt
#> 4616 <NA> 20 Quarterly Public Sector Debt
#> 4619 <NA> 20 Quarterly Public Sector Debt
#> 4622 <NA> 20 Quarterly Public Sector Debt
#> 4625 <NA> 20 Quarterly Public Sector Debt
#> 4628 <NA> 20 Quarterly Public Sector Debt
#> 4631 <NA> 20 Quarterly Public Sector Debt
#> 4634 <NA> 20 Quarterly Public Sector Debt
#> 4637 <NA> 20 Quarterly Public Sector Debt
#> 4640 <NA> 20 Quarterly Public Sector Debt
#> 4645 <NA> 20 Quarterly Public Sector Debt
#> 4648 <NA> 20 Quarterly Public Sector Debt
#> 4651 <NA> 20 Quarterly Public Sector Debt
#> 4654 <NA> 20 Quarterly Public Sector Debt
#> 4657 <NA> 20 Quarterly Public Sector Debt
#> 4662 <NA> 20 Quarterly Public Sector Debt
#> 4667 <NA> 20 Quarterly Public Sector Debt
#> 4670 <NA> 20 Quarterly Public Sector Debt
#> 4673 <NA> 20 Quarterly Public Sector Debt
#> 4676 <NA> 20 Quarterly Public Sector Debt
#> 4679 <NA> 20 Quarterly Public Sector Debt
#> 4682 <NA> 20 Quarterly Public Sector Debt
#> 4685 <NA> 20 Quarterly Public Sector Debt
#> 4688 <NA> 20 Quarterly Public Sector Debt
#> 4691 <NA> 20 Quarterly Public Sector Debt
#> 4696 <NA> 20 Quarterly Public Sector Debt
#> 4701 <NA> 20 Quarterly Public Sector Debt
#> 4704 <NA> 20 Quarterly Public Sector Debt
#> 4707 <NA> 20 Quarterly Public Sector Debt
#> 4710 <NA> 20 Quarterly Public Sector Debt
#> 4713 <NA> 20 Quarterly Public Sector Debt
#> 4716 <NA> 20 Quarterly Public Sector Debt
#> 4719 <NA> 20 Quarterly Public Sector Debt
#> 4722 <NA> 20 Quarterly Public Sector Debt
#> 4725 <NA> 20 Quarterly Public Sector Debt
#> 4730 <NA> 20 Quarterly Public Sector Debt
#> 4733 <NA> 20 Quarterly Public Sector Debt
#> 4736 <NA> 20 Quarterly Public Sector Debt
#> 4739 <NA> 20 Quarterly Public Sector Debt
#> 4742 <NA> 20 Quarterly Public Sector Debt
#> 4747 <NA> 20 Quarterly Public Sector Debt
#> 4753 <NA> 20 Quarterly Public Sector Debt
#> 4756 <NA> 20 Quarterly Public Sector Debt
#> 4759 <NA> 20 Quarterly Public Sector Debt
#> 4762 <NA> 20 Quarterly Public Sector Debt
#> 4765 <NA> 20 Quarterly Public Sector Debt
#> 4770 <NA> 20 Quarterly Public Sector Debt
#> 4773 <NA> 20 Quarterly Public Sector Debt
#> 4776 <NA> 20 Quarterly Public Sector Debt
#> 4779 <NA> 20 Quarterly Public Sector Debt
#> 4782 <NA> 20 Quarterly Public Sector Debt
#> 4787 <NA> 20 Quarterly Public Sector Debt
#> 4790 <NA> 20 Quarterly Public Sector Debt
#> 4793 <NA> 20 Quarterly Public Sector Debt
#> 4796 <NA> 20 Quarterly Public Sector Debt
#> 4799 <NA> 20 Quarterly Public Sector Debt
#> 4804 <NA> 20 Quarterly Public Sector Debt
#> 4807 <NA> 20 Quarterly Public Sector Debt
#> 4810 <NA> 20 Quarterly Public Sector Debt
#> 4813 <NA> 20 Quarterly Public Sector Debt
#> 4816 <NA> 20 Quarterly Public Sector Debt
#> 4821 <NA> 20 Quarterly Public Sector Debt
#> 4824 <NA> 20 Quarterly Public Sector Debt
#> 4827 <NA> 20 Quarterly Public Sector Debt
#> 4830 <NA> 20 Quarterly Public Sector Debt
#> 4833 <NA> 20 Quarterly Public Sector Debt
#> 4838 <NA> 20 Quarterly Public Sector Debt
#> 4841 <NA> 20 Quarterly Public Sector Debt
#> 4844 <NA> 20 Quarterly Public Sector Debt
#> 4847 <NA> 20 Quarterly Public Sector Debt
#> 4850 <NA> 20 Quarterly Public Sector Debt
#> 5346 <NA> 11 Africa Development Indicators
#> 5349 <NA> 11 Africa Development Indicators
#> 5350 <NA> 11 Africa Development Indicators
#> 5504 <NA> 11 Africa Development Indicators
#> 7123 <NA> 11 Africa Development Indicators
#> 7194 <NA> 11 Africa Development Indicators
#> 7199 <NA> 11 Africa Development Indicators
#> 7207 <NA> 11 Africa Development Indicators
#> 7213 <NA> 11 Africa Development Indicators
#> 7363 <NA> 11 Africa Development Indicators
#> 7760 <NA> 60 Economic Fitness
#> 7763 <NA> 70 Economic Fitness 2
#> 7767 <NA> 2 World Development Indicators
#> 7791 <NA> 57 WDI Database Archives
#> 7792 <NA> 57 WDI Database Archives
#> 7793 <NA> 2 World Development Indicators
#> 7794 <NA> 2 World Development Indicators
#> 7802 <NA> 2 World Development Indicators
#> 7921 <NA> 57 WDI Database Archives
#> 7925 <NA> 57 WDI Database Archives
#> 7926 <NA> 57 WDI Database Archives
#> 7931 <NA> 57 WDI Database Archives
#> 7932 <NA> 57 WDI Database Archives
#> 8017 <NA> 2 World Development Indicators
#> 8018 <NA> 2 World Development Indicators
#> 8101 <NA> 2 World Development Indicators
#> 8119 <NA> 57 WDI Database Archives
#> 8173 <NA> 57 WDI Database Archives
#> 8526 <NA> 2 World Development Indicators
#> 8635 <NA> 11 Africa Development Indicators
#> 10994 <NA> 11 Africa Development Indicators
#> 11003 <NA> 2 World Development Indicators
#> 11012 <NA> 2 World Development Indicators
#> 11019 <NA> 57 WDI Database Archives
#> 11020 <NA> 57 WDI Database Archives
#> 11022 <NA> 57 WDI Database Archives
#> 11027 <NA> 57 WDI Database Archives
#> 11028 <NA> 57 WDI Database Archives
#> 11084 <NA> 11 Africa Development Indicators
#> 11093 <NA> 2 World Development Indicators
#> 11098 <NA> 2 World Development Indicators
#> 11099 <NA> 2 World Development Indicators
#> 11100 <NA> 2 World Development Indicators
#> 11101 <NA> 57 WDI Database Archives
#> 11103 <NA> 2 World Development Indicators
#> 11104 <NA> 57 WDI Database Archives
#> 11105 <NA> 57 WDI Database Archives
#> 11106 <NA> 57 WDI Database Archives
#> 11107 <NA> 57 WDI Database Archives
#> 11170 <NA> 57 WDI Database Archives
#> 11171 <NA> 57 WDI Database Archives
#> 11180 <NA> 57 WDI Database Archives
#> 11181 <NA> 57 WDI Database Archives
#> 11185 <NA> 57 WDI Database Archives
#> 11186 <NA> 57 WDI Database Archives
#> 11190 <NA> 57 WDI Database Archives
#> 11191 <NA> 57 WDI Database Archives
#> 11201 <NA> 57 WDI Database Archives
#> 11204 <NA> 57 WDI Database Archives
#> 11206 <NA> 11 Africa Development Indicators
#> 11209 <NA> 57 WDI Database Archives
#> 11211 <NA> 57 WDI Database Archives
#> 11213 <NA> 57 WDI Database Archives
#> 11214 <NA> 57 WDI Database Archives
#> 11217 <NA> 57 WDI Database Archives
#> 11218 <NA> 57 WDI Database Archives
#> 11219 <NA> 57 WDI Database Archives
#> 11220 <NA> 57 WDI Database Archives
#> 11245 <NA> 57 WDI Database Archives
#> 11246 <NA> 57 WDI Database Archives
#> 11264 <NA> 57 WDI Database Archives
#> 11267 <NA> 2 World Development Indicators
#> 11270 <NA> 57 WDI Database Archives
#> 11271 <NA> 57 WDI Database Archives
#> 11278 <NA> 2 World Development Indicators
#> 11281 <NA> 57 WDI Database Archives
#> 11286 <NA> 2 World Development Indicators
#> 11290 <NA> 57 WDI Database Archives
#> 11292 <NA> 57 WDI Database Archives
#> 11294 <NA> 2 World Development Indicators
#> 11296 <NA> 2 World Development Indicators
#> 11298 <NA> 2 World Development Indicators
#> 11309 <NA> 2 World Development Indicators
#> 11324 <NA> 2 World Development Indicators
#> 11341 <NA> 2 World Development Indicators
#> 11584 <NA> 32 Global Financial Development
#> 11585 <NA> 32 Global Financial Development
#> 11586 <NA> 32 Global Financial Development
#> 11588 <NA> 32 Global Financial Development
#> 11589 <NA> 32 Global Financial Development
#> 11590 <NA> 32 Global Financial Development
#> 11591 <NA> 32 Global Financial Development
#> 11592 <NA> 32 Global Financial Development
#> 11593 <NA> 32 Global Financial Development
#> 11594 <NA> 32 Global Financial Development
#> 11595 <NA> 32 Global Financial Development
#> 11596 <NA> 32 Global Financial Development
#> 11597 <NA> 32 Global Financial Development
#> 11598 <NA> 32 Global Financial Development
#> 11599 <NA> 32 Global Financial Development
#> 11600 <NA> 32 Global Financial Development
#> 11601 <NA> 32 Global Financial Development
#> 11602 <NA> 32 Global Financial Development
#> 11603 <NA> 32 Global Financial Development
#> 11604 <NA> 32 Global Financial Development
#> 11605 <NA> 32 Global Financial Development
#> 11606 <NA> 32 Global Financial Development
#> 11607 <NA> 32 Global Financial Development
#> 11608 <NA> 32 Global Financial Development
#> 11609 <NA> 32 Global Financial Development
#> 11610 <NA> 32 Global Financial Development
#> 11613 <NA> 32 Global Financial Development
#> 11621 <NA> 32 Global Financial Development
#> 11626 <NA> 32 Global Financial Development
#> 11629 <NA> 32 Global Financial Development
#> 11630 <NA> 32 Global Financial Development
#> 11634 <NA> 32 Global Financial Development
#> 11635 <NA> 32 Global Financial Development
#> 11639 <NA> 32 Global Financial Development
#> 11640 <NA> 32 Global Financial Development
#> 11641 <NA> 32 Global Financial Development
#> 12921 <NA> 13 Enterprise Surveys
#> 12935 <NA> 13 Enterprise Surveys
#> 13104 <NA> 11 Africa Development Indicators
#> 13171 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13172 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13173 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13174 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13175 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13176 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13453 <NA> 57 WDI Database Archives
#> 13455 <NA> 57 WDI Database Archives
#> 13563 <NA> 11 Africa Development Indicators
#> 15571 <NA> 11 Africa Development Indicators
#> 15595 <NA> 2 World Development Indicators
#> 15600 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15601 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15602 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15603 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15604 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15605 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15606 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15607 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15608 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15609 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15610 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15611 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15612 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15613 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15614 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15615 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15616 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15617 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15618 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15619 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15620 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15621 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15622 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15623 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15624 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15625 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15626 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15627 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15628 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15629 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15630 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15631 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15632 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15633 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15634 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15635 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15636 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15637 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15638 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15639 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15640 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15641 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15642 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15643 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15644 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15645 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15646 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15647 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15648 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15649 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15650 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15651 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15652 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15653 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15654 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15655 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15656 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15657 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15666 <NA> 2 World Development Indicators
#> 15668 <NA> 2 World Development Indicators
#> 15669 <NA> 2 World Development Indicators
#> 15679 <NA> 57 WDI Database Archives
#> 15694 <NA> 2 World Development Indicators
#> 15695 <NA> 2 World Development Indicators
#> 15696 <NA> 2 World Development Indicators
#> 15706 <NA> 57 WDI Database Archives
#> 15714 <NA> 57 WDI Database Archives
#> 15715 <NA> 2 World Development Indicators
#> 15725 <NA> 2 World Development Indicators
#> 15737 <NA> 2 World Development Indicators
#> 15739 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15740 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15741 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15742 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15743 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15744 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15745 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15746 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15771 <NA> 2 World Development Indicators
#> 15776 <NA> 11 Africa Development Indicators
#> 15779 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15786 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15787 <NA> 2 World Development Indicators
#> 15788 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15789 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15790 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15795 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15799 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15808 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15815 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15816 <NA> 57 WDI Database Archives
#> 15817 <NA> 2 World Development Indicators
#> 15827 <NA> 2 World Development Indicators
#> 15828 <NA> 11 Africa Development Indicators
#> 15834 <NA> 57 WDI Database Archives
#> 15835 <NA> 2 World Development Indicators
#> 15838 <NA> 2 World Development Indicators
#> 15902 <NA> 57 WDI Database Archives
#> 15906 <NA> 57 WDI Database Archives
#> 15912 <NA> 57 WDI Database Archives
#> 15920 <NA> 11 Africa Development Indicators
#> 15930 <NA> 11 Africa Development Indicators
#> 15931 <NA> 2 World Development Indicators
#> 15951 <NA> 2 World Development Indicators
#> 15965 <NA> 57 WDI Database Archives
#> 15966 <NA> 2 World Development Indicators
#> 15984 <NA> 11 Africa Development Indicators
#> 15985 <NA> 11 Africa Development Indicators
#> 15986 <NA> 11 Africa Development Indicators
#> 16003 <NA> 57 WDI Database Archives
#> 16004 <NA> 57 WDI Database Archives
#> 16010 <NA> 2 World Development Indicators
#> 16021 <NA> 59 Wealth Accounts
#> 16023 <NA> 59 Wealth Accounts
#> 16025 <NA> 59 Wealth Accounts
#> 16027 <NA> 59 Wealth Accounts
#> 16029 <NA> 59 Wealth Accounts
#> 16031 <NA> 59 Wealth Accounts
#> 16033 <NA> 59 Wealth Accounts
#> 16035 <NA> 59 Wealth Accounts
#> 16039 <NA> 59 Wealth Accounts
#> 16041 <NA> 59 Wealth Accounts
#> 16055 <NA> 59 Wealth Accounts
#> 16057 <NA> 59 Wealth Accounts
#> 16063 <NA> 59 Wealth Accounts
#> 16065 <NA> 59 Wealth Accounts
#> 16083 <NA> 59 Wealth Accounts
#> 16085 <NA> 59 Wealth Accounts
#> 16125 <NA> 59 Wealth Accounts
#> 16127 <NA> 59 Wealth Accounts
#> 16129 <NA> 59 Wealth Accounts
#> 16131 <NA> 59 Wealth Accounts
#> 16133 <NA> 59 Wealth Accounts
#> 16135 <NA> 59 Wealth Accounts
#> 16137 <NA> 59 Wealth Accounts
#> 16139 <NA> 59 Wealth Accounts
#> 16145 <NA> 59 Wealth Accounts
#> 16147 <NA> 59 Wealth Accounts
#> 16153 <NA> 59 Wealth Accounts
#> 16156 <NA> 59 Wealth Accounts
#> 16159 <NA> 59 Wealth Accounts
#> 16161 <NA> 59 Wealth Accounts
#> 16193 <NA> 19 Millennium Development Goals
#> 16197 <NA> 2 World Development Indicators
#> 16198 <NA> 57 WDI Database Archives
#> 16199 <NA> 2 World Development Indicators
#> 16200 <NA> 2 World Development Indicators
#> 16201 <NA> 2 World Development Indicators
#> 16202 <NA> 57 WDI Database Archives
#> 16203 <NA> 2 World Development Indicators
#> 16204 <NA> 11 Africa Development Indicators
#> 16205 <NA> 2 World Development Indicators
#> 16206 <NA> 2 World Development Indicators
#> 16207 <NA> 2 World Development Indicators
#> 16208 <NA> 2 World Development Indicators
#> 16209 <NA> 2 World Development Indicators
#> 16210 <NA> 57 WDI Database Archives
#> 16211 <NA> 2 World Development Indicators
#> 16212 <NA> 57 WDI Database Archives
#> 16213 <NA> 2 World Development Indicators
#> 16214 <NA> 2 World Development Indicators
#> 16215 <NA> 2 World Development Indicators
#> 16216 <NA> 11 Africa Development Indicators
#> 16217 <NA> 2 World Development Indicators
#> 16218 <NA> 2 World Development Indicators
#> 16219 <NA> 11 Africa Development Indicators
#> 16220 <NA> 57 WDI Database Archives
#> 16221 <NA> 2 World Development Indicators
#> 16222 <NA> 57 WDI Database Archives
#> 16223 <NA> 2 World Development Indicators
#> 16224 <NA> 2 World Development Indicators
#> 16225 <NA> 57 WDI Database Archives
#> 16226 <NA> 57 WDI Database Archives
#> 16227 <NA> 2 World Development Indicators
#> 16228 <NA> 2 World Development Indicators
#> 16229 <NA> 57 WDI Database Archives
#> 16230 <NA> 57 WDI Database Archives
#> 16231 <NA> 11 Africa Development Indicators
#> 16232 <NA> 57 WDI Database Archives
#> 16233 <NA> 2 World Development Indicators
#> 16234 <NA> 2 World Development Indicators
#> 16235 <NA> 2 World Development Indicators
#> 16236 <NA> 2 World Development Indicators
#> 16237 <NA> 2 World Development Indicators
#> 16238 <NA> 2 World Development Indicators
#> 16239 <NA> 2 World Development Indicators
#> 16240 <NA> 2 World Development Indicators
#> 16241 <NA> 57 WDI Database Archives
#> 16242 <NA> 11 Africa Development Indicators
#> 16243 <NA> 2 World Development Indicators
#> 16244 <NA> 2 World Development Indicators
#> 16251 <NA> 2 World Development Indicators
#> 16252 <NA> 2 World Development Indicators
#> 16253 <NA> 11 Africa Development Indicators
#> 16255 <NA> 57 WDI Database Archives
#> 16257 <NA> 2 World Development Indicators
#> 16258 <NA> 57 WDI Database Archives
#> 16260 <NA> 2 World Development Indicators
#> 16262 <NA> 57 WDI Database Archives
#> 16263 <NA> 57 WDI Database Archives
#> 16264 <NA> 57 WDI Database Archives
#> 16265 <NA> 57 WDI Database Archives
#> 16266 <NA> 57 WDI Database Archives
#> 16267 <NA> 57 WDI Database Archives
#> 16268 <NA> 57 WDI Database Archives
#> 16269 <NA> 57 WDI Database Archives
#> 16281 <NA> 2 World Development Indicators
#> 16282 <NA> 2 World Development Indicators
#> 16292 <NA> 2 World Development Indicators
#> 16293 <NA> 2 World Development Indicators
#> 16302 <NA> 2 World Development Indicators
#> 16340 <NA> 27 Global Economic Prospects
#> 16341 <NA> 15 Global Economic Monitor
#> 16342 <NA> 15 Global Economic Monitor
#> 16343 <NA> 15 Global Economic Monitor
#> 16344 <NA> 15 Global Economic Monitor
#> 16420 <NA> 2 World Development Indicators
#> 16421 <NA> 2 World Development Indicators
#> 16422 <NA> 57 WDI Database Archives
#> 16423 <NA> 57 WDI Database Archives
#> 16425 <NA> 2 World Development Indicators
#> 16484 <NA> 12 Education Statistics
#> 16492 <NA> 12 Education Statistics
#> 16517 <NA> 12 Education Statistics
#> 16539 <NA> 12 Education Statistics
#> 16548 <NA> 12 Education Statistics
#> 16557 <NA> 12 Education Statistics
#> 16562 <NA> 12 Education Statistics
#> 16564 <NA> 12 Education Statistics
#> 16565 <NA> 12 Education Statistics
#> 16578 <NA> 12 Education Statistics
#> 16594 <NA> 12 Education Statistics
#> 16613 <NA> 12 Education Statistics
#> 16624 <NA> 12 Education Statistics
#> 16625 <NA> 12 Education Statistics
#> 16627 <NA> 12 Education Statistics
#> 16661 <NA> 12 Education Statistics
#> 16678 <NA> 12 Education Statistics
#> 16694 <NA> 12 Education Statistics
#> 16775 <NA> 12 Education Statistics
#> 16799 <NA> 12 Education Statistics
#> 16804 <NA> 12 Education Statistics
#> 16854 <NA> 12 Education Statistics
#> 16871 <NA> 12 Education Statistics
#> 16893 <NA> 12 Education Statistics
#> 16897 <NA> 12 Education Statistics
#> 16949 <NA> 12 Education Statistics
#> 16965 <NA> 12 Education Statistics
#> 16988 <NA> 12 Education Statistics
#> 16992 <NA> 12 Education Statistics
#> 17060 <NA> 12 Education Statistics
#> 17120 <NA> 12 Education Statistics
#> 17141 <NA> 12 Education Statistics
#> 17142 <NA> 12 Education Statistics
#> 17143 <NA> 12 Education Statistics
#> 17144 <NA> 12 Education Statistics
#> 17145 <NA> 12 Education Statistics
#> 17200 <NA> 12 Education Statistics
#> 17217 <NA> 12 Education Statistics
#> 17249 <NA> 12 Education Statistics
#> 17257 <NA> 12 Education Statistics
#> 17277 <NA> 12 Education Statistics
#> 17281 <NA> 12 Education Statistics
#> 17304 <NA> 12 Education Statistics
#> 17319 <NA> 12 Education Statistics
#> 17324 <NA> 12 Education Statistics
#> 21520 <NA> 45 Indonesia Database for Policy and Economic Research
#> 24343 <NA> 84 Education Policy
#> 24716 <NA> 12 Education Statistics
#> 24780 <NA> 12 Education Statistics
#> 25007 <NA> 57 WDI Database Archives
#> 25012 <NA> 57 WDI Database Archives
#> 25013 <NA> 2 World Development Indicators
#> 25016 <NA> 57 WDI Database Archives
#> 25017 <NA> 2 World Development Indicators
#> 25021 <NA> 57 WDI Database Archives
#> 25022 <NA> 2 World Development Indicators
#> 25025 <NA> 2 World Development Indicators
#> 25045 <NA> 57 WDI Database Archives
#> 25939 <NA> 2 World Development Indicators
#> 26083 <NA> 2 World Development Indicators
#> 26092 <NA> 2 World Development Indicators
#> 26096 <NA> 57 WDI Database Archives
#> 26097 <NA> 16 Health Nutrition and Population Statistics
#> 26109 <NA> 57 WDI Database Archives
#> 26112 <NA> 57 WDI Database Archives
#> 26118 <NA> 57 WDI Database Archives
#> 26292 <NA> 2 World Development Indicators
#> 26293 <NA> 11 Africa Development Indicators
#> 26294 <NA> 57 WDI Database Archives
#> 27036 <NA> 83 Statistical Performance Indicators (SPI)
#> 27038 <NA> 83 Statistical Performance Indicators (SPI)
#> 27043 <NA> 83 Statistical Performance Indicators (SPI)
#> 27078 <NA> 57 WDI Database Archives
#> 27079 <NA> 2 World Development Indicators
#> 27080 <NA> 57 WDI Database Archives
#> 29287 <NA> 12 Education Statistics
#> 29288 <NA> 12 Education Statistics
#> 29289 <NA> 12 Education Statistics
#> 29290 <NA> 12 Education Statistics
#> 29291 <NA> 12 Education Statistics
#> 29292 <NA> 12 Education Statistics
#> 29293 <NA> 12 Education Statistics
#> 29294 <NA> 12 Education Statistics
#> 29295 <NA> 12 Education Statistics
#> 29296 <NA> 12 Education Statistics
#> 29307 <NA> 12 Education Statistics
#> 29308 <NA> 12 Education Statistics
#> 29309 <NA> 12 Education Statistics
#> 29310 <NA> 12 Education Statistics
#> 29311 <NA> 12 Education Statistics
#> 29312 <NA> 12 Education Statistics
#> 29313 <NA> 12 Education Statistics
#> 29314 <NA> 12 Education Statistics
#> 29315 <NA> 12 Education Statistics
#> 29316 <NA> 12 Education Statistics
#> 29317 <NA> 12 Education Statistics
#> 29318 <NA> 12 Education Statistics
#> 29319 <NA> 12 Education Statistics
#> 29320 <NA> 12 Education Statistics
#> 29321 <NA> 12 Education Statistics
#> 29322 <NA> 12 Education Statistics
#> 29323 <NA> 12 Education Statistics
#> 29324 <NA> 12 Education Statistics
#> 29374 <NA> 12 Education Statistics
#> 29375 <NA> 12 Education Statistics
#> 29376 <NA> 12 Education Statistics
#> 29377 <NA> 12 Education Statistics
#> 29378 <NA> 12 Education Statistics
#> 29379 <NA> 12 Education Statistics
#> 29380 <NA> 12 Education Statistics
#> 29381 <NA> 12 Education Statistics
#> 29382 <NA> 12 Education Statistics
#> source_note
#> 689 GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
#> 690 Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2011 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.
#> 691 GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2005 U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2000 official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
#> 692 GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2011 international dollars.
#> 2097 Total trade in services includes services provided by residents to non-residents plus services provided by non-residents to residents. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 2098 <NA>
#> 2099 <NA>
#> 2100 <NA>
#> 2101 <NA>
#> 2402 <NA>
#> 2425 <NA>
#> 2437 Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net outflows of investment from the reporting economy to the rest of the world and is divided by GDP.
#> 2438 Foreign direct investment refers to direct investment equity flows in an economy. It is the sum of equity capital, reinvestment of earnings, and other capital. Direct investment is a category of cross-border investment associated with a resident in one economy having control or a significant degree of influence on the management of an enterprise that is resident in another economy. Ownership of 10 percent or more of the ordinary shares of voting stock is the criterion for determining the existence of a direct investment relationship. This series shows net outflows of investment from the reporting economy to the rest of the world, and is divided by GDP.
#> 2451 Balance of current transactions (transactions in goods and services, earned income and transfer income) between residents and non-residents. The term current account balance is used in the external accounts and is expressed from the perspective of resident units. The term current external balance is used in the national accounts and is expressed from the perspective of the non-resident units, and therefore with the opposite sign. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 2452 <NA>
#> 2455 <NA>
#> 2458 Current account balance is the sum of net exports of goods, services, net income, and net current transfers. This is divided by GDP at market prices, with both series expressed in current U.S. dollars.
#> 2464 Net income refers to receipts and payments of employee compensation paid to nonresident workers and investment income (receipts and payments on direct investment, portfolio investment, other investments, and receipts on reserve assets). Income derived from the use of intangible assets is recorded under business services. Data are in current U.S. dollars.
#> 2473 Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows total net, that is, net FDI in the reporting economy from foreign sources less net FDI by the reporting economy to the rest of the world. Data are in current U.S. dollars.
#> 2475 <NA>
#> 2481 Private capital flows consist of net foreign direct investment and portfolio investment. Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. The FDI included here is total net, that is, net FDI in the reporting economy from foreign sources less net FDI by the reporting economy to the rest of the world. Portfolio investment covers transactions in equity securities and debt securities.
#> 2492 Net current transfers are recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars.
#> 2541 <NA>
#> 2553 <NA>
#> 2555 Foreign direct investment is the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net inflows (new investment inflows less disinvestment) in the reporting economy from foreign investors, and is divided by GDP.
#> 2564 Migrants’ remittances are defined as the sum of worker’s remittances,
#> 2570 Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees.
#> 2571 Workers' remittances are current transfers by migrants who are employed or intend to remain employed for more than a year in another economy in which they are considered residents. Some developing countries classify workers' remittances as a factor income receipt (and thus as a component of GNI). The World Bank adheres to international guidelines in defining GNI, and its classification of workers' remittances may therefore differ from national practices. This item shows receipts by the reporting country. Data are in current U.S. dollars.
#> 2868 Revenues from taxes raised on energy products (fossil fuels and electricity) including those used in transportation (petrol and diesel). This includes all CO2-related taxes.
#> 2869 <NA>
#> 2944 Data reflects the impact of the emissions intensity of GDP (as a macro-driver) to total emission growth (excluding LUCF) across the period 2012-2018. This data has been calculated by World Bank staff using greenhouse gas emissions data from the World Resource Institute's Climate Watch. Climate Watch Historical Emission data contains sector-level greenhouse gas (GHG) emissions data for 194 countries and the European Union (EU) for the period 1990-2018, including emissions of the six major GHGs from most major sources and sinks. Non-CO2 emissions are expressed in CO2 equivalents using 100-year global warming potential values from IPCC Fourth Assessment Report. Climate Watch Historical GHG Emissions data (previously published through CAIT Climate Data Explorer) are derived from several sources. Any use of the Land-Use Change and Forestry or Agriculture indicator should be cited as FAO 2020, FAOSTAT Emissions Database. Any use of CO2 emissions from fuel combustion data should be cited as CO2 Emissions from Fuel Combustion, OECD/IEA, 2020.
#> 2945 Data reflects the impact of GDP-per capita (as a macro-driver) to total emission growth (excluding LUCF) across the period 2012-2018. This data has been calculated by World Bank staff using greenhouse gas emissions data from the World Resource Institute's Climate Watch. Climate Watch Historical Emission data contains sector-level greenhouse gas (GHG) emissions data for 194 countries and the European Union (EU) for the period 1990-2018, including emissions of the six major GHGs from most major sources and sinks. Non-CO2 emissions are expressed in CO2 equivalents using 100-year global warming potential values from IPCC Fourth Assessment Report. Climate Watch Historical GHG Emissions data (previously published through CAIT Climate Data Explorer) are derived from several sources. Any use of the Land-Use Change and Forestry or Agriculture indicator should be cited as FAO 2020, FAOSTAT Emissions Database. Any use of CO2 emissions from fuel combustion data should be cited as CO2 Emissions from Fuel Combustion, OECD/IEA, 2020.
#> 2968 Data reflects the cost of a risk taking strategy that adopts an ambititious low-risk strategy. This is discussed in Policy Note 5 of the Beyond the Gap report.
#> 2969 Data reflects the cost of a risk taking strategy that keeps the risk relative to GDP constant. This is discussed in Policy Note 5 of the Beyond the Gap report.
#> 2970 Data reflects the level of spending in protection that minimizes the cost of floods, including the prevention of expenditure and damages. This is discussed in Policy Note 5 of the Beyond the Gap report.
#> 3033 Risk to asset indicator is intended to be viewed with risk to wellbeing indicator (both reported as average annual losses as % of GDP). The Unbreakable report which the indicators are taken from moves beyond asset and production losses and shifts its attention to how natural disasters affect people’s well-being. Disasters are far greater threats to well-being than traditional estimates suggest. This approach provides a more nuanced view of natural disasters than usual reporting, and a perspective that takes fuller account of poor people’s vulnerabilities.
#> 3034 Risk to wellbeing indicator is intended to be viewed with risk to asset indicator (both reported as average annual losses as % of GDP). The Unbreakable report which the indicators are taken from moves beyond asset and production losses and shifts its attention to how natural disasters affect people’s well-being. Disasters are far greater threats to well-being than traditional estimates suggest. This approach provides a more nuanced view of natural disasters than usual reporting, and a perspective that takes fuller account of poor people’s vulnerabilities.
#> 3043 <NA>
#> 3136 <NA>
#> 3139 Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values.
#> 3142 The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.
#> 4290 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4293 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4296 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4299 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4302 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4307 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4310 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4313 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4316 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4319 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4324 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4327 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4330 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4333 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4336 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4341 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4344 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4347 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4350 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4353 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4358 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4361 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4364 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4367 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4370 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4375 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4378 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4381 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4384 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4387 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4390 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4393 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4396 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4399 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4404 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4407 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4410 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4413 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4416 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4421 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4425 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4427 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4429 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4431 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4433 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4435 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4437 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4439 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4441 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4443 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4446 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4449 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4452 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4455 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4458 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4461 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4464 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4467 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4470 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4475 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4478 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4481 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4484 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4487 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4492 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4495 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4498 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4501 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4504 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4509 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4514 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4517 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4520 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4523 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4526 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4529 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4532 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4535 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4538 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4543 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4546 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4549 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4552 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4555 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4560 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4565 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4568 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4571 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4574 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4577 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4580 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4583 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4586 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4589 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4594 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4597 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4600 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4603 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4606 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4611 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4616 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4619 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4622 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4625 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4628 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4631 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4634 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4637 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4640 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4645 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4648 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4651 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4654 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4657 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4662 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4667 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4670 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4673 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4676 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4679 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4682 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4685 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4688 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4691 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4696 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4701 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4704 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4707 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4710 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4713 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4716 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4719 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4722 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4725 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4730 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4733 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4736 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4739 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4742 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4747 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4753 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4756 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4759 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4762 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4765 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4770 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4773 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4776 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4779 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4782 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4787 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4790 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4793 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4796 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4799 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4804 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4807 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4810 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4813 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4816 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4821 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4824 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4827 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4830 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4833 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4838 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4841 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4844 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4847 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4850 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 5346 Concessional Long-term Debt Outstanding and Disbursed (LDOD) conveys information about the borrower's receipt of aid from official lenders at concessional terms as defined by the Development Assistance Committee (DAC) of the OECD. Concessional debt is defined as loans with an original grant element of 25 percent or more. The grant equivalent of a loan is its commitment (present) value, less the discounted present value of its contractual debt service; conventionally, future service payments are discounted at 10 percent. The grant element of a loan is the grant equivalent expressed as a percentage of the amount committed. It is used as a measure of the overall cost of borrowing. Loans from major regional development banks--African Development Bank, Asian Development Bank, and the Inter-American Development Bank--and from the World Bank are classified as concessional according to each institution's classification and not according to the DAC definition, as was the practice in earlier reports. LDOD is the total outstanding long-term debt at year end. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents and repayable in currency, goods, or services.
#> 5349 Non-concessional LDOD conveys information about the borrower's receipt of aid from official lenders on non-concessional terms as defined by the Development Assistance Committee (DAC) of the OECD. Concessional debt is defined as loans with an original grant element of 25 percent or more. The grant equivalent of a loan is its commitment (present) value, less the discounted present value of its contractual debt service; conventionally, future service payments are discounted at 10 percent. The grant element of a loan is the grant equivalent expressed as a percentage of the amount committed. It is used as a measure of the overall cost of borrowing. Loans from major regional development banks--African Development Bank, Asian Development Bank, and the Inter-American Development Bank--and from the World Bank are classified as concessional according to each institution's classification and not according to the DAC definition, as was the practice in earlier reports. Long-term debt outstanding and disbursed (LDOD) is the total outstanding long-term debt at year end. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents and repayable in currency, goods, or services. Data are in current U.S. dollars.
#> 5350 Non-concessional LDOD conveys information about the borrower's receipt of aid from official lenders on non-concessional terms as defined by the Development Assistance Committee (DAC) of the OECD. Concessional debt is defined as loans with an original grant element of 25 percent or more. The grant equivalent of a loan is its commitment (present) value, less the discounted present value of its contractual debt service; conventionally, future service payments are discounted at 10 percent. The grant element of a loan is the grant equivalent expressed as a percentage of the amount committed. It is used as a measure of the overall cost of borrowing. Loans from major regional development banks--African Development Bank, Asian Development Bank, and the Inter-American Development Bank--and from the World Bank are classified as concessional according to each institution's classification and not according to the DAC definition, as was the practice in earlier reports. Long-term debt outstanding and disbursed (LDOD) is the total outstanding long-term debt at year end. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents and repayable in currency, goods, or services. Data are divided by GDP at market prices in current U.S. dollars to facilitate comparison across economies.
#> 5504 Total external debt is debt owed to nonresidents repayable in currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Data expressed as a percentage of GDP at market prices.
#> 7123 Official development assistance and net official aid record the actual international transfer by the donor of financial resources or of goods or services valued at the cost to the donor, less any repayments of loan principal during the same period.
#> 7194 Official development assistance and net official aid record the actual international transfer by the donor of financial resources or of goods or services valued at the cost to the donor, less any repayments of loan principal during the same period.
#> 7199 Official development assistance and net official aid record the actual international transfer by the donor of financial resources or of goods or services valued at the cost to the donor, less any repayments of loan principal during the same period.
#> 7207 Official development assistance and net official aid record the actual international transfer by the donor of financial resources or of goods or services valued at the cost to the donor, less any repayments of loan principal during the same period.
#> 7213 Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent).
#> 7363 Total debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF.
#> 7760 Economic Fitness (EF) is both a measure of a country’s diversification and ability to produce complex goods on a globally competitive basis. Countries with the highest levels of EF have capabilities to produce a diverse portfolio of products, ability to upgrade into ever-increasing complex goods, tend to have more predictable long-term growth, and to attain good competitive position relative to other countries. Countries with low EF levels tend to suffer from poverty, low capabilities, less predictable growth, low value-addition, and trouble upgrading and diversifying faster than other countries. The starting data is the COMTRADE list of products exported by each country. This data defines a bipartite network of countries and products, or goods and services. A suitably designed mathematical algorithm applied to this network leads to the Economic Fitness of all countries and the Complexity of all products. The comparison of the Fitness to the GDP reveals hidden information for the development and the growth of the countries.
#> 7763 The Universal Economic Fitness (UEF) is both a measure of a country’s diversification and ability to produce complex goods on a globally competitive basis. Countries with the highest levels of EF have capabilities to produce a diverse portfolio of products, ability to upgrade into ever-increasing complex goods, tend to have more predictable long-term growth, and to attain good competitive position relative to other countries. Countries with low UEF levels tend to suffer from poverty, low capabilities, less predictable growth, low value-addition, and trouble upgrading and diversifying faster than other countries. The starting data is the COMTRADE list of products and the IMF-BOP list of services exported by each country. This data defines a bipartite network of countries and sectors, or goods and services. A suitably designed mathematical algorithm applied to this network leads to the Universal Economic Fitness of all countries and the Complexity of all sectors. The comparison of the Fitness to the GDP reveals hidden information for the development and the growth of the countries.
#> 7767 Energy intensity level of primary energy is the ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. Lower ratio indicates that less energy is used to produce one unit of output.
#> 7791 <NA>
#> 7792 <NA>
#> 7793 GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to current international dollars using purchasing power parity rates based on the 2017 ICP round. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.
#> 7794 GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to 2021 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.
#> 7802 Energy use per PPP GDP is the kilogram of oil equivalent of energy use per constant PPP GDP. Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. PPP GDP is gross domestic product converted to 2021 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.
#> 7921 <NA>
#> 7925 <NA>
#> 7926 Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.
#> 7931 Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.
#> 7932 Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.
#> 8017 Annual emissions of carbon dioxide (CO2), one of the six Kyoto greenhouse gases (GHG), from the agriculture, energy, waste, and industrial sectors, excluding LULUCF divided by the GDP in constant 2021 US$.
#> 8018 Annual emissions of carbon dioxide (CO2), one of the six Kyoto greenhouse gases (GHG), from the agriculture, energy, waste, and industrial sectors, excluding LULUCF divided by the GDP in 2021 PPP $.
#> 8101 Water productivity is calculated as GDP in constant prices divided by annual total water withdrawal.
#> 8119 <NA>
#> 8173 <NA>
#> 8526 Domestic credit to private sector by banks refers to financial resources provided to the private sector by other depository corporations (deposit taking corporations except central banks), such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 8635 Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (December 31) London prices.
#> 10994 Claims on governments and other public entities (IFS line 32an + 32b + 32bx + 32c) usually comprise direct credit for specific purposes such as financing of the government budget deficit or loans to state enterprises, advances against future credit authorizations, and purchases of treasury bills and bonds, net of deposits by the public sector. Public sector deposits with the banking system also include sinking funds for the service of debt and temporary deposits of government revenues. Data are in current local currency.
#> 11003 Domestic credit to private sector refers to financial resources provided to the private sector, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11012 Broad money is the sum of all liquid financial instruments held by money-holding sectors that are widely accepted in an economy as a medium of exchange, plus those that can be converted into a medium of exchange at short notice at, or close to, their full nominal value. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11019 Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition of money supply is frequently called M2; it corresponds to lines 34 and 35 in the International Monetary Fund's (IMF) International Financial Statistics (IFS).
#> 11020 <NA>
#> 11022 <NA>
#> 11027 <NA>
#> 11028 <NA>
#> 11084 Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator.
#> 11093 An interest rate is the amount charged, expressed as a percentage of the principal over a period of time, by the owners of certain kinds of financial assets for putting the financial assets at the disposal of another institutional unit. The real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. The terms and conditions attached to lending rates differ by country, however, limiting their comparability. This indicator is expressed as a percentage (a÷b)*100.
#> 11098 Claims on central government include loans to central government institutions net of deposits. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11099 Claims on other sectors of the domestic economy include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11100 Domestic credit provided by the financial sector includes all credit to various sectors on a gross basis, with the exception of credit to the central government, which is net. The financial sector includes monetary authorities and deposit money banks, as well as other financial corporations where data are available (including corporations that do not accept transferable deposits but do incur such liabilities as time and savings deposits). Examples of other financial corporations are finance and leasing companies, money lenders, insurance corporations, pension funds, and foreign exchange companies. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11101 <NA>
#> 11103 Domestic credit to private sector refers to financial resources provided to the private sector by financial corporations, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises. The financial corporations include monetary authorities and deposit money banks, as well as other financial corporations where data are available (including corporations that do not accept transferable deposits but do incur such liabilities as time and savings deposits). Examples of other financial corporations are finance and leasing companies, money lenders, insurance corporations, pension funds, and foreign exchange companies. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11104 <NA>
#> 11105 Liquid liabilities are also known as M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements (M2), plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual funds or market funds held by residents.
#> 11106 <NA>
#> 11107 Quasi-liquid liabilities are the sum of currency and deposits in the central bank (M0), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements, plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual funds or market funds held by residents. They equal the M3 money supply less transferable deposits and electronic currency (M1).
#> 11170 <NA>
#> 11171 <NA>
#> 11180 <NA>
#> 11181 <NA>
#> 11185 <NA>
#> 11186 <NA>
#> 11190 <NA>
#> 11191 <NA>
#> 11201 <NA>
#> 11204 <NA>
#> 11206 Central government revenues, excluding all grants.
#> 11209 <NA>
#> 11211 <NA>
#> 11213 <NA>
#> 11214 <NA>
#> 11217 <NA>
#> 11218 <NA>
#> 11219 <NA>
#> 11220 <NA>
#> 11245 <NA>
#> 11246 <NA>
#> 11264 <NA>
#> 11267 Gross domestic expenditures on research and development (R&D), expressed as a percent of GDP. They include both capital and current expenditures in the four main sectors: Business enterprise, Government, Higher education and Private non-profit. R&D covers basic research, applied research, and experimental development.
#> 11270 <NA>
#> 11271 <NA>
#> 11278 Net acquisition of government financial assets includes domestic and foreign financial claims, SDRs, and gold bullion held by monetary authorities as a reserve asset. The net acquisition of financial assets should be offset by the net incurrence of liabilities. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11281 Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).
#> 11286 Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year. Central government is the part of general government that includes all administrative departments of the national executive, legislative, and judicial functions, other central agencies and those non-market producers controlled by the central government, whose competence extends normally over the whole economic territory. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11290 Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets (a third financing item). The difference between the cash surplus or deficit and the three financing items is the net change in the stock of cash.
#> 11292 Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets (a third financing item). The difference between the cash surplus or deficit and the three financing items is the net change in the stock of cash.
#> 11294 Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11296 Net investment in government nonfinancial assets includes fixed assets, inventories, valuables, and nonproduced assets. Nonfinancial assets are stores of value and provide benefits either through their use in the production of goods and services or in the form of property income and holding gains. Net investment in nonfinancial assets also includes consumption of fixed capital. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11298 Net lending (+) / net borrowing (–) equals government revenue minus expense, minus net investment in nonfinancial assets. It is also equal to the net result of transactions in financial assets and liabilities. Net lending/net borrowing is a summary measure indicating the extent to which government is either putting financial resources at the disposal of other sectors in the economy or abroad, or utilizing the financial resources generated by other sectors in the economy or from abroad. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11309 Revenue is an increase in net worth resulting from a transaction. Grants are excluded from this figure. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11324 Taxes are compulsory, unrequited payments, in cash or in kind, made by institutional\n\n\n\n\nunits to government units. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11341 Expense is a decrease in net worth resulting from a transaction. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 11584 Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Private credit by deposit money banks (IFS line 22d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11585 Claims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11586 Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Nonbank financial institutions assets (IFS lines 42, a-d, h, and s); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11588 Ratio of liquid liabilities to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is liquid liabilities, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Liquid liabilities (IFS lines 55L or, if not available, line 35L); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF) For Eurocurrency area countries liquid liabilities are estimated by summing IFS items 34A, 34B and 35.
#> 11589 Claims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11590 Data taken from a variety of sources such as Investment Company Institute and national sources.
#> 11591 Demand, time and saving deposits in deposit money banks and other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Financial system deposits (IFS lines 24, 25, 44, and 45); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11592 Premium data is taken from various issues of Sigma reports (Swiss Re). Data on GDP in US dollars is from the electronic version of the World Development Indicators.
#> 11593 Premium data is taken from various issues of Sigma reports (Swiss Re). Data on GDP in US dollars is from the electronic version of the World Development Indicators.
#> 11594 Data taken from a variety of sources such as AXCO and national sources.
#> 11595 Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF)
#> 11596 Ratio of assets of pension funds to GDP. A pension fund is any plan, fund, or scheme that provides retirement income. Data taken from a variety of sources such as OECD, AIOS, FIAP and national sources.
#> 11597 Domestic credit to private sector refers to financial resources provided to the private sector, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises.
#> 11598 Value of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11599 Total value of all traded shares in a stock market exchange as a percentage of GDP. Following deflation method is use: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11600 Total amount of domestic private debt securities (amounts outstanding) issued in domestic markets as a share of GDP. It covers data on long-term bonds and notes, commercial paper and other short-term notes. Table 16A (domestic debt amount): all issuers minus governments / GDP. End of year data (i.e. December data) are considered for debt securities. The figures are deflated using the following methodology: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is the level domestic private debt, P_e is end-of period CPI, and P_a is average annual CPI. GDP is from World Development Indicators. End-of period CPI is taken from IFS line 64M..ZF month of December (or if not available Q4). Average annual CPI is constructed from the monthly CPI figure taken from IFS line 64..ZF.
#> 11601 Total amount of domestic public debt securities (amounts outstanding) issued in domestic markets as a share of GDP. It covers long-term bonds and notes, treasury bills, commercial paper and other short-term notes. Table 16A (domestic debt amount): governments / GDP. End of year data (i.e. December data) are considered for debt securities. The figures are deflated using the following methodology: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is the level domestic public debt, P_e is end-of period CPI, and P_a is average annual CPI. GDP is from World Development Indicators. End-of period CPI is taken from IFS line 64M..ZF month of December (or if not available Q4). Average annual CPI is constructed from the monthly CPI figure taken from IFS line 64..ZF.
#> 11602 Amount of private international debt securities (amounts outstanding), as a share of GDP. It covers long-term bonds and notes and money market instruments placed on international markets. (Table 12A (international debt amount: all issuers) - Table 12D (international debt amount: governments)) / GDP. End of year data (i.e. December data) are considered for debt securities. The figures are deflated using the following methodology: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is the level intenational private debt, P_e is end-of period CPI, and P_a is average annual CPI. GDP is from World Development Indicators.End-of period CPI is taken from IFS line 64M..ZF month of December (or if not available Q4). Average annual CPI is constructed from the monthly CPI figure taken from IFS line 64..ZF.
#> 11603 Amount of public international debt securities (amounts outstanding), as a share of GDP. It covers long-term bonds and notes and money market instruments placed on international markets. Table 12D (international debt amount): governments / GDP. End of year data (i.e. December data) are considered for debt securities. The figures are deflated using the following methodology: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is the level international public debt, P_e is end-of period CPI, and P_a is average annual CPI. GDP is from World Development Indicators. End-of period CPI is taken from IFS line 64M..ZF month of December (or if not available Q4). Average annual CPI is constructed from the monthly CPI figure taken from IFS line 64..ZF.
#> 11604 Total value of outstanding international debt issues both public and private, as a share of GDP. Offshore bank loan data from BIS Statistical Appendix Table 12A (Amount Outstanding): International debt securities - all issuers.
#> 11605 Ratio of gross portfolio equity liabilities to GDP. Equity liabilities include shares, stocks, participation, and similar documents (such as American depository receipts) that usually denote ownership of equity. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 79LDDZF/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF).
#> 11606 Ratio of gross portfolio equity assets to GDP. Equity assets include shares, stocks, participation, and similar documents (such as American depository receipts) that usually denote ownership of equity. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 79ADDZF / GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF).
#> 11607 Ratio of gross portfolio debt liabilities to GDP. Debt liabilities cover (1) bonds, debentures, notes, etc., and (2) money market or negotiable debt instruments. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 79LEDZF / GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF).
#> 11608 <NA>
#> 11609 <NA>
#> 11610 <NA>
#> 11613 <NA>
#> 11621 Raw data are from the electronic version of the IMF’s International Financial Statistics. (IFS line 22A + line 22B + line 22C) / GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF).
#> 11626 Demand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF’s International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and average annual CPI is calculated using the monthly CPI values (IFS line 64M..ZF).
#> 11629 Ratio of net offshore bank loans to GDP. An offshore bank is a bank located outside the country of residence of the depositor, typically in a low tax jurisdiction (or tax haven) that provides financial and legal advantages. Offshore bank loan data from BIS Statistical Appendix Table 12A (Net Issues): International debt securities - all issuers.
#> 11630 Ratio of outstanding offshore bank loans to GDP. An offshore bank is a bank located outside the country of residence of the depositor, typically in a low tax jurisdiction (or tax haven) that provides financial and legal advantages. Offshore bank loan data from BIS Statistical Appendix Table 7A: External loans and deposits of reporting banks vis-à-vis all sectors.
#> 11634 Workers' remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. Data are the sum of three items defined in the fifth edition of the IMF's Balance of Payments Manual: workers' remittances, compensation of employees, and migrants' transfers. Remittances are classified as current private transfers from migrant workers resident in the host country for more than a year, irrespective of their immigration status, to recipients in their country of origin. Migrants' transfers are defined as the net worth of migrants who are expected to remain in the host country for more than one year that is transferred from one country to another at the time of migration. Compensation of employees is the income of migrants who have lived in the host country for less than a year.
#> 11635 The ratio of consolidated foreign claims to GDP of the banks that are reporting to BIS. Foreign claims are defined as the sum of cross-border claims plus foreign offices’ local claims in all currencies. In the consolidated banking statistics claims that are granted or extended to nonresidents are referred to as either cross-border claims. In the context of the consolidated banking statistics, local claims refer to claims of domestic banks’ foreign affiliates (branches/subsidiaries) on the residents of the host country (i.e. country of residence of affiliates). Items (A+L from BIS Table 9A). End-of-year data (i.e. December data) are considered for banks claims. GDP is from World Development Indicators.
#> 11639 Ratios calculated by source.
#> 11640 GDP data provided by IFS and converted into USD using IFS exchange rates.
#> 11641 A banking crisis is defined as systemic if two conditions are met: a. Significant signs of financial distress in the banking system (as indicated bysignificant bank runs, losses in the banking system, and/or bank liquidations), b. Significant banking policy intervention measures in response to significant losses in the banking system. The first year that both criteria are met is considered as the year when the crisis start becoming systemic. The end of a crisis is defined the year before both real GDP growth and real credit growth are positive for at least two consecutive years.
#> 12921 Annual labor productivity growth is measured by a percentage change in labor productivity between the last completed fiscal year and a previous period, where labor productivity is sales divided by the number of full- time permanent workers. All sales values are deflated to 2009 using each country's GDP deflators.
#> 12935 Real annual sales growth is measured as a percentage change in sales between the last completed fiscal year and a previous period. All sales values are deflated to 2009 using each country's GDP deflators.
#> 13104 Information and communications technology expenditures include computer hardware (computers, storage devices, printers, and other peripherals); computer software (operating systems, programming tools, utilities, applications, and internal software development); computer services (information technology consulting, computer and network systems integration, Web hosting, data processing services, and other services); and communications services (voice and data communications services) and wired and wireless communications equipment.
#> 13171 Nominal Gross state domestic product (GSDP) per capita, or gross regional product (GRP) per capita, is a measurement of the per capita economic output in nominal terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13172 Nominal Gross state domestic product (GSDP) per capita, or gross regional product (GRP) per capita, is a measurement of the per capita economic output in nominal terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13173 Real Gross state domestic product (GSDP), or gross regional product (GRP), is a measurement of the per capita economic output in real terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13174 Real Gross state domestic product (GSDP) [per capita, or gross regional product (GRP) per capita, is a measurement of the per capita growth rate of economic output in real terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13175 Real Gross state domestic product (GSDP) per capita, or gross regional product (GRP) per capita, is a measurement of the per capita economic output in real terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13176 Gross state domestic product (GSDP), or gross regional product (GRP), is a measurement of the per capita growth rate of the economic output in real terms of a state or province (i.e., of a subnational entity). It is the sum of all value added by industries and services within the state and serves as a counterpart to the gross domestic product (GDP). \nState Domestic Product (SDP) in common parlance known as “State Income” is a measure in monetary terms of the volume of all goods and services produced during a given period of time within the geographical boundaries of the state, accounted for\nwithout duplication.
#> 13453 <NA>
#> 13455 <NA>
#> 13563 Telecommunications revenue is the revenue from the provision of telecommunications services such as fixed-line, mobile, and data.
#> 15571 Public Management: Within this subcategory the Ibrahim Index measures: (i) Quality of Public Administration – clustered indicator (average) of variables from the African Development Bank and the World Bank measuring the extent to which the civil service is structured to effectively and ethically design policy and deliver services. (ii) Quality of Budget Management – clustered indicator (average) of variables from the African Development Bank and the World Bank measuring the extent to which there is a comprehensive and credible budget, linked to policy priorities, with mechanisms to ensure implementation and reporting. (iii) Currency Inside Banks – total stock of currency held within banks as a proportion of the money supply in an economy (OD). (iv) Ratio of Total Revenue to Total Expenditure – total budget revenue as a proportion of total budget expenditure (OD). (v) Ratio of Budget Deficit or Surplus to GDP – budget deficit or budget surplus as a proportion of Gross Domestic Product. (vi) Management of Public Debt – clustered indicator (average) of variables from the African Development Bank and the World Bank measuring short- and medium term sustainability of fiscal policy and its impact on growth. (vii) Inflation – annual average change in the consumer price index. (viii) Ratio of External Debt Service to Exports – total external debt service due, expressed as a proportion of exports of goods, non-factor services, income and workers’ remittances. (ix) Imports Covered by Reserves – period of time that imports could be paid for by foreign exchange reserves. (x) Statistical Capacity – national statistical systems and their adherence to international norms in the areas of: Methodology (of compiling statistics and indicators); Regularity and coverage of censuses and surveys; Regularity, timeliness and accessibility of key socioeconomic indicators.
#> 15595 Military expenditure by country as percentage of gross domestic product
#> 15600 <NA>
#> 15601 <NA>
#> 15602 <NA>
#> 15603 <NA>
#> 15604 <NA>
#> 15605 <NA>
#> 15606 <NA>
#> 15607 <NA>
#> 15608 Construction is an economic activity which produces physical structures. Physical structures include: buildings; roads; bridges; railways and bridgeways; tunnel subways; viaducts and drainage; sanitary construction; airport terminals and airfield construction; dams; electricity power plants; distribution, transmission and communication networks. Construction activities include: planning; preparation; execution; demolition; repairs and maintenance; and construction.
#> 15609 Construction is an economic activity which produces physical structures. Physical structures include: buildings; roads; bridges; railways and bridgeways; tunnel subways; viaducts and drainage; sanitary construction; airport terminals and airfield construction; dams; electricity power plants; distribution, transmission and communication networks. Construction activities include: planning; preparation; execution; demolition; repairs and maintenance; and construction.
#> 15610 <NA>
#> 15611 <NA>
#> 15612 <NA>
#> 15613 <NA>
#> 15614 <NA>
#> 15615 <NA>
#> 15616 <NA>
#> 15617 <NA>
#> 15618 <NA>
#> 15619 <NA>
#> 15620 <NA>
#> 15621 <NA>
#> 15622 <NA>
#> 15623 <NA>
#> 15624 <NA>
#> 15625 <NA>
#> 15626 <NA>
#> 15627 <NA>
#> 15628 <NA>
#> 15629 <NA>
#> 15630 Mining is an economic activity which extracts minerals (in solid, liquid or gas form) and prepares these items for further processing. Quarrying is an economic activity that covers all extraction of quarried commodities. Quarried commodities are chemical elements, mineral and recess rock sediments below the earth's surface. Quarried commodities are usually used in manufacturing and construction (excluding metal, coal, petroleum, natural gas and radio active elements).
#> 15631 Mining is an economic activity which extracts minerals (in solid, liquid or gas form) and prepares these items for further processing. Quarrying is an economic activity that covers all extraction of quarried commodities. Quarried commodities are chemical elements, mineral and recess rock sediments below the earth's surface. Quarried commodities are usually used in manufacturing and construction (excluding metal, coal, petroleum, natural gas and radio active elements).
#> 15632 <NA>
#> 15633 <NA>
#> 15634 Manufacturing is an economic activity involving processing materials and transforming them mechanically, chemically, or manually into finished or semi finished products and/or converting them into other goods having higher value and closer to the final user.
#> 15635 Manufacturing is an economic activity involving processing materials and transforming them mechanically, chemically, or manually into finished or semi finished products and/or converting them into other goods having higher value and closer to the final user.
#> 15636 <NA>
#> 15637 <NA>
#> 15638 <NA>
#> 15639 <NA>
#> 15640 <NA>
#> 15641 <NA>
#> 15642 <NA>
#> 15643 <NA>
#> 15644 <NA>
#> 15645 <NA>
#> 15646 <NA>
#> 15647 <NA>
#> 15648 <NA>
#> 15649 <NA>
#> 15650 <NA>
#> 15651 <NA>
#> 15652 <NA>
#> 15653 <NA>
#> 15654 <NA>
#> 15655 <NA>
#> 15656 <NA>
#> 15657 <NA>
#> 15666 Final consumption expenditure is expenditure on goods and services by resident institutional units for the direct satisfaction of human needs or wants, whether individual or collective. General government FCE includes all government current expenditures for purchases of goods and services (including compensation of employees), and most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15668 This indicator provides values for final consumption expenditure per person expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons.\nHouseholds and NPISHs final consumption expenditure includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. The core indicator has been divided by the general population to achieve a per capita estimate. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 15669 This indicator provides values for final consumption expenditure per person expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons.\nHouseholds and NPISHs final consumption expenditure includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. The core indicator has been divided by the general population to achieve a per capita estimate. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 15679 Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. This item also includes any statistical discrepancy in the use of resources relative to the supply of resources.
#> 15694 This indicator provides values for final consumption expenditure expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nHouseholds and NPISHs final consumption expenditure includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 15695 This indicator provides values for final consumption expenditure expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nHouseholds and NPISHs final consumption expenditure includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 15696 This field includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15706 Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). This estimate includes any statistical discrepancy in the use of resources relative to the supply of resources.
#> 15714 <NA>
#> 15715 Final consumption expenditure is expenditure on goods and services by resident institutional units for the direct satisfaction of human needs or wants, whether individual or collective. Final consumption expenditure can be measured for households, general government, the central bank and non-profit institutions serving households. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15725 Gross national expenditure is the sum of household final consumption expenditure, general government final consumption expenditure, and gross capital formation. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15737 Exports of goods includes changes in the economic ownership of goods from residents of the compiling economy to non-residents, irrespective of physical movement of goods across national borders. Exports of services includes services provided by residents to non-residents. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15739 The Indonesian general government sector is classified into two categories: central government; and local government. Central government covers all government bodies affiliated to central government, including all vertical regional boundaries. Local government covers provincial governments, regency governments and village governments. \n\nGovernment final consumption expenditure refers to the value of goods and services produced for own use in the current account. It is the value of gross output less sales of commodities and non-commodities produced.
#> 15740 <NA>
#> 15741 <NA>
#> 15742 <NA>
#> 15743 <NA>
#> 15744 <NA>
#> 15745 Export is a trade of goods and services provided by citizens of a country to citizens of another country in exchange for foreign currency. Export creates influx of foreign currency.
#> 15746 <NA>
#> 15771 Private investment covers outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets. Gross fixed capital formation includes acquisitions less disposals of fixed assets during the accounting period, including certain specified expenditures on services that add to the value of non-produced assets. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15776 Gross public investment (see definition below) as a percentage of GDP (%) . Public sectors’ gross domestic fixed investment (gross fixed capital formation) comprises all additions to the stocks of fixed assets (purchases and own-account capital formation), less any sales of second-hand and scrapped fixed assets measured at constant prices, done by government units and non-financial public enterprises. Most outlays by government on military equipment are excluded. According to 1993 SNA are outlays on weapons and equipment with no alternative civil use treated as intermediate consumption, and part of governments consumption expenditure.
#> 15779 Gross fixed capital formation is expenditure for capital goods which have an effective life of more than one year and which do not represent commodities for consumption. Gross fixed capital formation includes residential and non residential buildings and other constructions such as roads and airports as well as machinery. Expenditure on capital goods and buildings for military requirements is not included in this breakdown, but rather is classified as government consumption. \n\nGross fixed capital formation, in the general government sector, is defined as the difference between government expenditure on additions to its fixed assets and net sales of similar second-hand and scrapped goods. Items classified as fixed capital formation include: dwelling and non-dwelling buildings; roads, bridges and similar constructions; machinery and equipment; motor vehicles; major repairs and alterations to the above mentioned durable goods which significantly extend their lifetime or productivity; and outlays on the reclamation and improvement of land and the development of plantations.
#> 15786 <NA>
#> 15787 Gross fixed capital formation includes acquisitions less disposals of fixed assets during the accounting period, including certain specified expenditures on services that add to the value of non-produced assets. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15788 Import is a trade of goods and services required by citizens of a country from citizens of other country in exchange for foreign currency. Import creates outflux of foreign currency.
#> 15789 <NA>
#> 15790 <NA>
#> 15795 Stock change in a particular year is defined as the difference between the year's final stock and the initial stock. Stock may consist of intermediate goods to be used in the production process, semi-finished goods and unsold finished goods. Those who hold stock include business enterprises, state enterprises and government. Goods categorised as government stock are those held for strategic purposes such as food products.
#> 15799 <NA>
#> 15808 <NA>
#> 15815 <NA>
#> 15816 <NA>
#> 15817 Gross capital formation includes acquisitions less disposals of produced assets for purposes of fixed capital formation, inventories or valuables. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15827 Imports of goods includes change in the economic ownership of goods from non-residents to\n\n\n\n\nresidents of the compiling economy, irrespective of physical movement of goods across national borders. Imports of services includes services provided by non-residents to residents. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15828 Merchandise trade as a share of GDP is the sum of merchandise exports and imports divided by the value of GDP, all in current US dollars and from the national accounts.
#> 15834 <NA>
#> 15835 The balance of international trade in goods and services is the difference between the exports and imports of goods and services. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15838 Trade is the sum of exports and imports of goods and services. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15902 <NA>
#> 15906 <NA>
#> 15912 <NA>
#> 15920 The growth rate of real per capita GDP in agriculture, expressed at an annual rate.
#> 15930 This is the annual rate of growth of agricultural GDP. Value added in agriculture measures the output of the agricultural sector (ISIC divisions 1-5) less the value of intermediate inputs. Agriculture comprises value added from forestry, hunting, and fishing as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 2. Data are in current local currency.
#> 15931 Agriculture, forestry, and fishing corresponds to ISIC (Rev. 4) divisions 01-03 and includes the exploitation of vegetal and animal natural resources, comprising the activities of growing of crops, raising and breeding of animals, harvesting of timber and other plants, animals or animal products from a farm or their natural habitats.Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period. Note: For VAB countries, gross value added at factor cost is used as the denominator.
#> 15951 Manufacturing includes industries classified in ISIC (Rev. 3) major division C and is defined as the physical or chemical transformation of materials or components into new products. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15965 <NA>
#> 15966 Industry (including construction) corresponds to ISIC (Rev.4) divisions 05-43. It is comprised of mining, manufacturing, construction, electricity, water, and gas industries. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 15984 This is the discrepancy included in the value added of services, etc. Covered here are any discrepancies noted by national compilers as well as discrepancies arising from linking new and old series in the World Bank data base. Data are in current U.S. dollars.
#> 15985 This is the discrepancy included in the value added of services, etc. Covered here are any discrepancies noted by national compilers as well as discrepancies arising from linking new and old series in the World Bank data base. Data are in current local currency.
#> 15986 This is the discrepancy included in the value added of services, etc. Covered here are any discrepancies noted by national compilers as well as discrepancies arising from linking new and old series in the World Bank data base. Data are in constant local currency.
#> 16003 <NA>
#> 16004 Services correspond to ISIC divisions 50-99 and they include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.
#> 16010 Services industries correspond to ISIC (Rev. 4) divisions 45-99 and includes wholesale and retail trade, repair of motor vehicles, hotels and restaurants, transport, storage and communication, financial intermediation, real estate, renting and business activities, public administration and defence, compulsory social security, education, health and social work, other community, social and personal service activities, private households with employed persons, and extra-territorial organizations and bodies. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 16021 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16023 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16025 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16027 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16029 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16031 Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16033 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16035 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16039 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16041 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16055 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16057 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16063 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16065 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16083 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16085 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16125 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16127 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16129 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16131 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16133 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16135 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16137 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16139 Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16145 Net foreign assets is foreign assets minus foreign liabilities. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16147 Net foreign assets is foreign assets minus foreign liabilities. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16153 Produced capital includes the value of machinery, buildings, equipment, and residential and nonresidential urban land. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16156 Produced capital includes the value of machinery, buildings, equipment, and residential and nonresidential urban land. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16159 Total wealth is calculated as the sum of produced capital, natural capital, human capital, and net foreign assets. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16161 Total wealth is calculated as the sum of produced capital, natural capital, human capital, and net foreign assets. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.
#> 16193 Agriculture support is the annual monetary value of all gross transfers from taxpayers and consumers, both domestic and foreign (in the form of subsidies arising from policy measures that support agriculture), net of the associated budgetary receipts, regardless of their objectives and impacts on farm production and income, or consumption of farm products.
#> 16197 Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production.
#> 16198 <NA>
#> 16199 Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.
#> 16200 Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.
#> 16201 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country. This indicator is expressed as a ratio (a÷b).
#> 16202 <NA>
#> 16203 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed as a ratio (a÷b).
#> 16204 This is the discrepancy included in the ‘total consumption etc.' This discrepancy is included to ensures that GDP from the expenditure side equals GDP measured by the income or output approach. Data are in current U.S. dollars.
#> 16205 Although the SNA ensures there is perfect consistency between the three measures of GDP, this is a conceptual consistency that in general does not emerge naturally from data compilations. This is because of the wide disparity of data sources that must be called on and the fact that any error in any source will lead to a difference between at least two of the GDP measures. In practice it is inevitable that many such data errors will exist and will become apparent in exercises such as the balancing of supply and use tables. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16206 Although the SNA ensures there is perfect consistency between the three measures of GDP, this is a conceptual consistency that in general does not emerge naturally from data compilations. This is because of the wide disparity of data sources that must be called on and the fact that any error in any source will lead to a difference between at least two of the GDP measures. In practice it is inevitable that many such data errors will exist and will become apparent in exercises such as the balancing of supply and use tables. This indicator is expressed in constant prices, meaning the underlying series have been adjusted to account for price changes over time. The reference year for this adjustment varies by country.
#> 16207 Gross value added at basic prices reflects the price of products receivable by the producer exclusive of taxes payable on products and inclusive of subsidies receivable on products, less intermediate consumption valued at purchasers' prices. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
#> 16208 Gross value added at basic prices reflects the price of products receivable by the producer exclusive of taxes payable on products and inclusive of subsidies receivable on products, less intermediate consumption valued at purchasers' prices. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16209 Gross value added at basic prices reflects the price of products receivable by the producer exclusive of taxes payable on products and inclusive of subsidies receivable on products, less intermediate consumption valued at purchasers' prices. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.
#> 16210 <NA>
#> 16211 Gross value added at basic prices reflects the price of products receivable by the producer exclusive of taxes payable on products and inclusive of subsidies receivable on products, less intermediate consumption valued at purchasers' prices. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment varies by country. This series is expressed in local currency units.
#> 16212 <NA>
#> 16213 Forest rents are roundwood harvest times the product of regional prices and a regional rental rate.
#> 16214 Mineral rents are the difference between the value of production for a stock of minerals at world prices and their total costs of production. Minerals included in the calculation are tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate.
#> 16215 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
#> 16216 The GDP deflator series based upon the U.S. dollar series is defined as the ratio of the GDP at market prices in current U.S. dollars) to the GDP at market prices in constant (2000) U.S. dollars.
#> 16217 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16218 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16219 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.
#> 16220 <NA>
#> 16221 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.
#> 16222 <NA>
#> 16223 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.
#> 16224 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment varies by country. This series is expressed in local currency units.
#> 16225 <NA>
#> 16226 <NA>
#> 16227 This indicator provides values for gross domestic product (GDP) expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16228 This indicator provides values for gross domestic product (GDP) expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16229 <NA>
#> 16230 <NA>
#> 16231 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country.
#> 16232 <NA>
#> 16233 Natural gas rents are the difference between the value of natural gas production at regional prices and total costs of production.
#> 16234 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
#> 16235 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16236 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.
#> 16237 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.
#> 16238 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment varies by country. This series is expressed in local currency units.
#> 16239 This indicator provides values for gross domestic product (GDP) per person expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. The core indicator has been divided by the general population to achieve a per capita estimate. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16240 This indicator provides values for gross domestic product (GDP) per person expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16241 <NA>
#> 16242 Annual percentage growth rate of GDP per capita based on purchasing power parity (PPP). GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2000 international dollars.
#> 16243 Oil rents are the difference between the value of crude oil production at regional prices and total costs of production.
#> 16244 Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.
#> 16251 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
#> 16252 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.
#> 16253 Gross domestic savings are calculated as the difference between GDP and total consumption. Data are in constant 2000 U.S. dollars.
#> 16255 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in constant local currency.
#> 16257 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 16258 Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant 2010 U.S. dollars.
#> 16260 Real gross domestic income (real GDI) measures the purchasing power of the total incomes generated by domestic production. It is a concept that exists in real terms only. When the terms of trade change there may be a significant divergence between the movements of GDP in volume terms and real GDI. The difference between the change in GDP in volume terms and real GDI is generally described as the “trading gain” (or loss) or, to turn this round, the trading gain or loss from changes in the terms of trade is the difference between real GDI and GDP in volume terms. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment varies by country. This series is expressed in local currency units.
#> 16262 <NA>
#> 16263 <NA>
#> 16264 <NA>
#> 16265 <NA>
#> 16266 <NA>
#> 16267 <NA>
#> 16268 <NA>
#> 16269 <NA>
#> 16281 This indicator provides values for gross national income (GNI) expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16282 This indicator provides values for gross national income (GNI) expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16292 This indicator provides values for gross national income (GNI) per person expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. The core indicator has been divided by the general population to achieve a per capita estimate. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16293 This indicator provides values for gross national income (GNI) per person expressed in constant international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. \n\nGross national income is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad. The core indicator has been divided by the general population to achieve a per capita estimate. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2021. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.
#> 16302 Savings is an amount that represents the part of disposable income (adjusted for the\n\n\n\n\n\n\n\n\nchange in pension entitlements) that is not spent on final consumption. Gross savings are calculated as gross national income less total consumption, plus net transfers. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 16340 GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.
#> 16341 <NA>
#> 16342 <NA>
#> 16343 <NA>
#> 16344 <NA>
#> 16420 The price level index (PLI) is the ratio of a purchasing power parity (PPP) conversion factor to the corresponding market exchange rate between two countries, expressed relative to a base country that is set equal to 100. For this series the base country is the United States. It provides a measure of the differences in price level between the country and the United States by indicating the number of units of the common currency (US dollars) needed to buy the same volume of the aggregation level in each country. At the level of GDP, the price level ratio provides a measure of the differences in the general price levels of countries.
#> 16421 The purchasing power parity (PPP) conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for the level of GDP and the base currency is the US dollar.
#> 16422 Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amounts of goods and services in the domestic market as U.S. dollar would buy in the United States. This conversion factor is for GDP. Historical estimates are provided for the 2005 benchmark year only. A separate series is available for extrapolated estimates based on the latest ICP round.
#> 16423 The price level ratio, or price level index, is the ratio of a purchasing power parity (PPP) conversion factor to the corresponding market exchange rate between two countries. For this series the base country is the United States. It provides a measure of the differences in price level between the country and the United States by indicating the number of units of the common currency (US dollars) needed to buy the same volume of the aggregation level in each country. At the level of GDP, the price level ratio provides a measure of the differences in the general price levels of countries.
#> 16425 The purchasing power parity (PPP) conversion factor is a currency conversion factor and a spatial price deflator. They convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for households and NPISHs Final consumption expenditure and the base currency is the US dollar.
#> 16484 <NA>
#> 16492 <NA>
#> 16517 <NA>
#> 16539 <NA>
#> 16548 <NA>
#> 16557 <NA>
#> 16562 <NA>
#> 16564 <NA>
#> 16565 <NA>
#> 16578 <NA>
#> 16594 <NA>
#> 16613 <NA>
#> 16624 <NA>
#> 16625 <NA>
#> 16627 <NA>
#> 16661 <NA>
#> 16678 <NA>
#> 16694 <NA>
#> 16775 <NA>
#> 16799 <NA>
#> 16804 <NA>
#> 16854 <NA>
#> 16871 <NA>
#> 16893 <NA>
#> 16897 <NA>
#> 16949 <NA>
#> 16965 <NA>
#> 16988 <NA>
#> 16992 <NA>
#> 17060 <NA>
#> 17120 <NA>
#> 17141 <NA>
#> 17142 <NA>
#> 17143 <NA>
#> 17144 <NA>
#> 17145 <NA>
#> 17200 <NA>
#> 17217 <NA>
#> 17249 <NA>
#> 17257 <NA>
#> 17277 <NA>
#> 17281 <NA>
#> 17304 <NA>
#> 17319 <NA>
#> 17324 <NA>
#> 21520 The General Allocation Grant (DAU) is a fund sourced from the Central Budget (APBN) allocated to bring equality in the financial capacity among the regions to finance the need of the regions in implementation of decentralization. It is a discretionary block grant designed to equalize the fiscal capacities of sub-national governments. DAU is allocated based on a national formula and is the sum of a basic allocation (which is a portion of the sub-national budget spending on public servant salaries) and the “fiscal gap” of the sub-national government. The “fiscal gap” is the difference between the estimated fiscal needs and fiscal capacity of each region. Fiscal needs are based on regional variables such as population, area, GDP per capita, and human development index. Fiscal capacity is measured by a region’s own-source revenue and a fraction of total revenue-sharing.
#> 24343 <NA>
#> 24716 <NA>
#> 24780 <NA>
#> 25007 <NA>
#> 25012 <NA>
#> 25013 Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
#> 25016 <NA>
#> 25017 Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
#> 25021 <NA>
#> 25022 Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.
#> 25025 General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.
#> 25045 <NA>
#> 25939 Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).
#> 26083 Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.
#> 26092 Public expenditure on health from domestic sources as a share of the economy as measured by GDP.
#> 26096 <NA>
#> 26097 Level of capital investments on health expressed as a percentage of GDP. Capital health investments include health infrastructure (buildings, machinery, IT) and stocks of vaccines for emergency or outbreaks.
#> 26109 Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.
#> 26112 Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.
#> 26118 Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.
#> 26292 GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2021 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.
#> 26293 GDP per person employed is gross domestic product (GDP) divided by total employment in the economy.
#> 26294 GDP per person employed is presented as an index with base year 2000 = 100. GDP per person employed is gross domestic product (GDP) divided by total employment.
#> 27036 The industrial production data are compiled using the International Standard Industrial Classification of All Economic Activities (ISIC) Rev.4 and Statistical Classification of Economic Activities in the European Community (NACE) Rev.2. ISIC Rev.4 is a standard classification of economic activities arranged so that entities can be classified per the activity they carry out using criteria such as input, output and use of the products produced, more emphasis has been given to the character of the production process in defining and delineating ISIC classes for international comparability. The manual and classification have changed to cover the complete scope of industrial production, employment, and GDP and other statistical areas.
#> 27038 Classification of Individual Consumption According to Purpose (COICOP) is used in household budget surveys, consumer price indices and international comparisons of gross domestic product (GDP) and its component expenditures. Although COICOP is not strictly linked to any particular model of consumer behavior, the classification is designed to broadly reflect differences in income elasticities. It is an integral part of the SNA1993 and more detailed subdivision of the classes provide comparability between countries and between statistics in these different areas.
#> 27043 Indicator based on PARIS21 SDG indicators (SDG 17.18.3 (national statistical plan that is fully funded and under implementation) and SDG 17.19.1 (value of resources made available to strengthen statistical capacity)). Could also incorporate indicator of NSO budget as a percentage of GDP.
#> 27078 <NA>
#> 27079 General merchandise trade includes goods whose economic ownership is changed between a resident and a non-resident and that are not included in the following specific categories: goods under merchanting, non-monetary gold, and parts of travel, construction, and government goods and services n.i.e. It is the total of merchandise exports plus merchandise imports. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 27080 <NA>
#> 29287 Total general (local, regional and central) government expenditure on pre-primary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29288 Total general (local, regional and central) government expenditure on primary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29289 Total general (local, regional and central) government expenditure on lower secondary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29290 Total general (local, regional and central) government expenditure on secondary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29291 Total general (local, regional and central) government expenditure on secondary and post-secondary non-tertiary vocational education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29292 Total general (local, regional and central) government expenditure on upper secondary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29293 Total general (local, regional and central) government expenditure on post-secondary non-tertiary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29294 Total general (local, regional and central) government expenditure on tertiary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29295 Total general (local, regional and central) government expenditure on education (current, capital, and transfers), in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29296 Total general (local, regional and central) government expenditure on education (current, capital, and transfers) not specified by level, in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29307 Total general (local, regional and central) government expenditure on pre-primary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29308 Total general (local, regional and central) government expenditure on primary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29309 Total general (local, regional and central) government expenditure on lower secondary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29310 Total general (local, regional and central) government expenditure on secondary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29311 Total general (local, regional and central) government expenditure on secondary and post-secondary non-tertiary vocational education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29312 Total general (local, regional and central) government expenditure on upper secondary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29313 Total general (local, regional and central) government expenditure on post-secondary non-tertiary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29314 Total general (local, regional and central) government expenditure on tertiary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29315 Total general (local, regional and central) government expenditure on education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29316 Total general (local, regional and central) government expenditure on education (current, capital, and transfers) not specified by level in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29317 Total general (local, regional and central) government expenditure on pre-primary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29318 Total general (local, regional and central) government expenditure on primary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29319 Total general (local, regional and central) government expenditure on lower secondary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29320 Total general (local, regional and central) government expenditure on secondary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29321 Total general (local, regional and central) government expenditure on secondary and post-secondary non-tertiary vocational education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29322 Total general (local, regional and central) government expenditure on upper secondary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29323 Total general (local, regional and central) government expenditure on post-secondary non-tertiary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29324 Total general (local, regional and central) government expenditure on tertiary education (current, capital, and transfers), expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. Divide total government expenditure for a given level of education (ex. primary, secondary, or all levels combined) by the GDP, and multiply by 100. A higher percentage of GDP spent on education shows a higher government priority for education, but also a higher capacity of the government to raise revenues for public spending, in relation to the size of the country's economy. When interpreting this indicator however, one should keep in mind in some countries, the private sector and/or households may fund a higher proportion of total funding for education, thus making government expenditure appear lower than in other countries. Limitations: In some instances data on total public expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29374 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29375 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29376 Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport) and purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes). 'Initial funding' means that government transfers to households, such as scholarships and other financial aid for education, are subtracted from what is spent by households. Note that in some countries for some education levels, the value of this indicator may be 0, since on average households may be receiving as much, or more, in financial aid from the government than what they are spending on education. Calculation: Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport), plus purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes), minus government education transfers to households (such as scholarships or other education-specific financial aid). When expressed as a share of GDP, this is then divided by the country's Gross Domestic Product (GDP). Limitations: Indicators for household expenditure on education should be interpreted with caution since data comes from household surveys which may not all follow the same definitions and concepts. These types of surveys are also not carried out in all countries with regularity, and for some categories (such as pupils in pre-primary education), the sample sizes may be low. In some cases where data on government transfers to households (scholarships and other financial aid) was not available, they could not be subtracted from amounts paid by households. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29377 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29378 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29379 Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport) and purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes). 'Initial funding' means that government transfers to households, such as scholarships and other financial aid for education, are subtracted from what is spent by households. Note that in some countries for some education levels, the value of this indicator may be 0, since on average households may be receiving as much, or more, in financial aid from the government than what they are spending on education. Calculation: Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport), plus purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes), minus government education transfers to households (such as scholarships or other education-specific financial aid). When expressed as a share of GDP, this is then divided by the country's Gross Domestic Product (GDP). Limitations: Indicators for household expenditure on education should be interpreted with caution since data comes from household surveys which may not all follow the same definitions and concepts. These types of surveys are also not carried out in all countries with regularity, and for some categories (such as pupils in pre-primary education), the sample sizes may be low. In some cases where data on government transfers to households (scholarships and other financial aid) was not available, they could not be subtracted from amounts paid by households. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29380 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29381 Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> 29382 Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport) and purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes). 'Initial funding' means that government transfers to households, such as scholarships and other financial aid for education, are subtracted from what is spent by households. Note that in some countries for some education levels, the value of this indicator may be 0, since on average households may be receiving as much, or more, in financial aid from the government than what they are spending on education. Calculation: Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport), plus purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes), minus government education transfers to households (such as scholarships or other education-specific financial aid). When expressed as a share of GDP, this is then divided by the country's Gross Domestic Product (GDP). Limitations: Indicators for household expenditure on education should be interpreted with caution since data comes from household surveys which may not all follow the same definitions and concepts. These types of surveys are also not carried out in all countries with regularity, and for some categories (such as pupils in pre-primary education), the sample sizes may be low. In some cases where data on government transfers to households (scholarships and other financial aid) was not available, they could not be subtracted from amounts paid by households. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/
#> source_organization
#> 689 World Development Indicators (World Bank)
#> 690 World Development Indicators (World Bank)
#> 691 World Development Indicators (World Bank)
#> 692 World Development Indicators (World Bank)
#> 2097 Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 2098 <NA>
#> 2099 <NA>
#> 2100 <NA>
#> 2101 <NA>
#> 2402 <NA>
#> 2425 <NA>
#> 2437 International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.
#> 2438 Balance of Payments database, International Monetary Fund (IMF), note: International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources.;\nUN Conference on Trade and Development (UNCTAD);\nOfficial national sources
#> 2451 Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 2452 <NA>
#> 2455 <NA>
#> 2458 World Bank country economists.
#> 2464 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 2473 World Bank country economists.
#> 2475 <NA>
#> 2481 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 2492 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 2541 <NA>
#> 2553 <NA>
#> 2555 International Financial Statistics and Balance of Payments databases, International Monetary Fund (IMF);\nInternational Debt Statistics, World Bank (WB);\nWorld Bank GDP estimates, World Bank (WB);\nOECD GDP estimates, Organisation for Economic Co-operation and Development (OECD)
#> 2564 World Bank staff estimates based on the International Monetary Fund's Balance of Payments Statistics Yearbook 2008, and World Bank and OECD GDP estimates.
#> 2570 Staff estimates, World Bank (WB);\nIMF balance of payments data, International Monetary Fund (IMF);\nWorld Bank GDP estimates, World Bank (WB);\nOECD GDP estimates, Organisation for Economic Co-operation and Development (OECD)
#> 2571 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 2868 Policy Instrument for the Environment Data Base, OECD. Available at: https://www.oecd.org/env/indicators-modelling-outlooks/policy-instrument-database/
#> 2869 <NA>
#> 2944 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 2945 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 2968 Rozenberg, Julie; Fay, Marianne. 2019. Beyond the Gap : How Countries Can Afford the Infrastructure They Need while Protecting the Planet. Sustainable Infrastructure;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/31291 License: CC BY 3.0 IGO
#> 2969 Rozenberg, Julie; Fay, Marianne. 2019. Beyond the Gap : How Countries Can Afford the Infrastructure They Need while Protecting the Planet. Sustainable Infrastructure;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/31291 License: CC BY 3.0 IGO
#> 2970 Rozenberg, Julie; Fay, Marianne. 2019. Beyond the Gap : How Countries Can Afford the Infrastructure They Need while Protecting the Planet. Sustainable Infrastructure;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/31291 License: CC BY 3.0 IGO
#> 3033 Hallegatte, Stephane; Vogt-Schilb, Adrien; Bangalore, Mook; Rozenberg, Julie. 2017. Unbreakable : Building the Resilience of the Poor in the Face of Natural Disasters. Climate Change and Development;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/25335 License: CC BY 3.0 IGO.
#> 3034 Hallegatte, Stephane; Vogt-Schilb, Adrien; Bangalore, Mook; Rozenberg, Julie. 2017. Unbreakable : Building the Resilience of the Poor in the Face of Natural Disasters. Climate Change and Development;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/25335 License: CC BY 3.0 IGO.
#> 3043 <NA>
#> 3136 <NA>
#> 3139 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 3142 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 4290 <NA>
#> 4293 <NA>
#> 4296 <NA>
#> 4299 <NA>
#> 4302 <NA>
#> 4307 <NA>
#> 4310 <NA>
#> 4313 <NA>
#> 4316 <NA>
#> 4319 <NA>
#> 4324 <NA>
#> 4327 <NA>
#> 4330 <NA>
#> 4333 <NA>
#> 4336 <NA>
#> 4341 <NA>
#> 4344 <NA>
#> 4347 <NA>
#> 4350 <NA>
#> 4353 <NA>
#> 4358 <NA>
#> 4361 <NA>
#> 4364 <NA>
#> 4367 <NA>
#> 4370 <NA>
#> 4375 <NA>
#> 4378 <NA>
#> 4381 <NA>
#> 4384 <NA>
#> 4387 <NA>
#> 4390 <NA>
#> 4393 <NA>
#> 4396 <NA>
#> 4399 <NA>
#> 4404 <NA>
#> 4407 <NA>
#> 4410 <NA>
#> 4413 <NA>
#> 4416 <NA>
#> 4421 <NA>
#> 4425 <NA>
#> 4427 <NA>
#> 4429 <NA>
#> 4431 <NA>
#> 4433 <NA>
#> 4435 <NA>
#> 4437 <NA>
#> 4439 <NA>
#> 4441 <NA>
#> 4443 <NA>
#> 4446 <NA>
#> 4449 <NA>
#> 4452 <NA>
#> 4455 <NA>
#> 4458 <NA>
#> 4461 <NA>
#> 4464 <NA>
#> 4467 <NA>
#> 4470 <NA>
#> 4475 <NA>
#> 4478 <NA>
#> 4481 <NA>
#> 4484 <NA>
#> 4487 <NA>
#> 4492 <NA>
#> 4495 <NA>
#> 4498 <NA>
#> 4501 <NA>
#> 4504 <NA>
#> 4509 <NA>
#> 4514 <NA>
#> 4517 <NA>
#> 4520 <NA>
#> 4523 <NA>
#> 4526 <NA>
#> 4529 <NA>
#> 4532 <NA>
#> 4535 <NA>
#> 4538 <NA>
#> 4543 <NA>
#> 4546 <NA>
#> 4549 <NA>
#> 4552 <NA>
#> 4555 <NA>
#> 4560 <NA>
#> 4565 <NA>
#> 4568 <NA>
#> 4571 <NA>
#> 4574 <NA>
#> 4577 <NA>
#> 4580 <NA>
#> 4583 <NA>
#> 4586 <NA>
#> 4589 <NA>
#> 4594 <NA>
#> 4597 <NA>
#> 4600 <NA>
#> 4603 <NA>
#> 4606 <NA>
#> 4611 <NA>
#> 4616 <NA>
#> 4619 <NA>
#> 4622 <NA>
#> 4625 <NA>
#> 4628 <NA>
#> 4631 <NA>
#> 4634 <NA>
#> 4637 <NA>
#> 4640 <NA>
#> 4645 <NA>
#> 4648 <NA>
#> 4651 <NA>
#> 4654 <NA>
#> 4657 <NA>
#> 4662 <NA>
#> 4667 <NA>
#> 4670 <NA>
#> 4673 <NA>
#> 4676 <NA>
#> 4679 <NA>
#> 4682 <NA>
#> 4685 <NA>
#> 4688 <NA>
#> 4691 <NA>
#> 4696 <NA>
#> 4701 <NA>
#> 4704 <NA>
#> 4707 <NA>
#> 4710 <NA>
#> 4713 <NA>
#> 4716 <NA>
#> 4719 <NA>
#> 4722 <NA>
#> 4725 <NA>
#> 4730 <NA>
#> 4733 <NA>
#> 4736 <NA>
#> 4739 <NA>
#> 4742 <NA>
#> 4747 <NA>
#> 4753 <NA>
#> 4756 <NA>
#> 4759 <NA>
#> 4762 <NA>
#> 4765 <NA>
#> 4770 <NA>
#> 4773 <NA>
#> 4776 <NA>
#> 4779 <NA>
#> 4782 <NA>
#> 4787 <NA>
#> 4790 <NA>
#> 4793 <NA>
#> 4796 <NA>
#> 4799 <NA>
#> 4804 <NA>
#> 4807 <NA>
#> 4810 <NA>
#> 4813 <NA>
#> 4816 <NA>
#> 4821 <NA>
#> 4824 <NA>
#> 4827 <NA>
#> 4830 <NA>
#> 4833 <NA>
#> 4838 <NA>
#> 4841 <NA>
#> 4844 <NA>
#> 4847 <NA>
#> 4850 <NA>
#> 5346 World Bank, Global Development Finance.
#> 5349 World Bank, Global Development Finance.
#> 5350 World Bank, Global Development Finance.
#> 5504 World Bank, Global Development Finance.
#> 7123 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank GDP estimates are used for the denominator.
#> 7194 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank gross domestic product estimates are used for the denominator.
#> 7199 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank gross domestic product estimates are used for the denominator.
#> 7207 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank gross domestic product estimates are used for the denominator.
#> 7213 Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank GDP estimates are used for the denominator.
#> 7363 World Bank, Global Development Finance.
#> 7760 World Bank, Economic Fitness project. For more details, please visit https://www.nature.com/articles/srep00723 and http://documents.worldbank.org/curated/en/632611498503242103/On-the-predictability-of-growth
#> 7763 World Bank, Economic Fitness project. For more details please visit the following links. The Fitness and Complexity algorithm has been introduced in: https://www.nature.com/articles/srep00723 For a detailed discussion of the data preprocessing, the computation of the universal fitness, and the economical implications: http://documents.worldbank.org/curated/en/309521529586431853/Integrating-services-in-the-economic-fitness-approach The convergence criterion of the Fitness and Complexity algorithm is discussed in: https://link.springer.com/article/10.1140/epjst/e2015-50118-1
#> 7767 Tracking SDG 7: The Energy Progress Report, International Energy Agency (IEA), note: License: Creative Commons Attribution—NonCommercial 3.0 IGO (CC BY-NC 3.0 IGO);\nInternational Renewable Energy Agency (IRENA), note: Tracking SDG 7: The Energy Progress Report;\nUnited Nations (UN), note: Tracking SDG 7: The Energy Progress Report, publisher: UN Statistics Division;\nWorld Bank (WB), note: Tracking SDG 7: The Energy Progress Report;\nWorld Health Organization (WHO), note: Tracking SDG 7: The Energy Progress Report
#> 7791 <NA>
#> 7792 <NA>
#> 7793 IEA Energy Statistics Data Browser, International Energy Agency (IEA), uri: https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser, publisher: International Energy Agency (IEA), date accessed: 2025-03-25
#> 7794 IEA Energy Statistics Data Browser, International Energy Agency (IEA), uri: https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser, publisher: International Energy Agency (IEA), date accessed: 2025-03-25
#> 7802 IEA Energy Statistics Data Browser, International Energy Agency (IEA), uri: https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser, publisher: International Energy Agency (IEA), date accessed: 2025-03-25
#> 7921 <NA>
#> 7925 <NA>
#> 7926 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.KD for the denominator's source.
#> 7931 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.PP.CD for the denominator's source.
#> 7932 Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See NY.GDP.MKTP.PP.KD for the denominator's source.
#> 8017 EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission, uri: https://edgar.jrc.ec.europa.eu/dataset_ghg2024, publisher: JRC European Commission, date published: 2024;\nInternational Energy Agency (IEA), uri: https://edgar.jrc.ec.europa.eu/dataset_ghg2024, publisher: JRC European Commission, date published: 2024
#> 8018 EDGAR (Emissions Database for Global Atmospheric Research) Community GHG Database, Joint Research Centre (JRC) - European Commission, uri: https://edgar.jrc.ec.europa.eu/dataset_ghg2024, publisher: JRC European Commission, date published: 2024;\nInternational Energy Agency (IEA), uri: https://edgar.jrc.ec.europa.eu/dataset_ghg2024, publisher: JRC European Commission, date published: 2024
#> 8101 AQUASTAT - FAO's Global Information System on Water and Agriculture, Food and Agriculture Organization of the United Nations (FAO), publisher: Food and Agriculture Organization of the United Nations (FAO);\nWorld Bank GDP estimates, World Bank (WB), publisher: World Bank (WB);\nOECD GDP estimates, Organisation for Economic Co-operation and Development (OECD), publisher: Organisation for Economic Co-operation and Development (OECD)
#> 8119 <NA>
#> 8173 <NA>
#> 8526 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 8635 International Monetary Fund, International Financial Statistics and data files.
#> 10994 "International Monetary Fund.\r"
#> 11003 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11012 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11019 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11020 <NA>
#> 11022 <NA>
#> 11027 <NA>
#> 11028 <NA>
#> 11084 International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.
#> 11093 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators, World Bank (WB)
#> 11098 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11099 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11100 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11101 <NA>
#> 11103 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators Database, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11104 <NA>
#> 11105 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11106 <NA>
#> 11107 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11170 <NA>
#> 11171 <NA>
#> 11180 <NA>
#> 11181 <NA>
#> 11185 <NA>
#> 11186 <NA>
#> 11190 <NA>
#> 11191 <NA>
#> 11201 <NA>
#> 11204 <NA>
#> 11206 World Bank country economists.
#> 11209 <NA>
#> 11211 <NA>
#> 11213 <NA>
#> 11214 <NA>
#> 11217 <NA>
#> 11218 <NA>
#> 11219 <NA>
#> 11220 <NA>
#> 11245 <NA>
#> 11246 <NA>
#> 11264 <NA>
#> 11267 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources/bulk, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2025-03-26, date published: 2025-02
#> 11270 <NA>
#> 11271 <NA>
#> 11278 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11281 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11286 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11290 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11292 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11294 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11296 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11298 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11309 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11324 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11341 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF);\nWorld Development Indicators, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD)
#> 11584 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11585 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11586 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11588 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11589 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11590 World Bank - Non banking financial database
#> 11591 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11592 Sigma Reports, Swiss Re
#> 11593 Sigma Reports, Swiss Re
#> 11594 Nonbanking financial database, World Bank
#> 11595 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11596 Nonbanking financial database, World Bank
#> 11597 World Development Indicators (WDI), World Bank
#> 11598 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 11599 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 11600 Bank for International Settlements (BIS)
#> 11601 Bank for International Settlements (BIS)
#> 11602 Bank for International Settlements (BIS)
#> 11603 Bank for International Settlements (BIS)
#> 11604 Bank for International Settlements (BIS)
#> 11605 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11606 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11607 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11608 <NA>
#> 11609 <NA>
#> 11610 <NA>
#> 11613 <NA>
#> 11621 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11626 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11629 Bank for International Settlements (BIS)
#> 11630 Bank for International Settlements (BIS)
#> 11634 World Development Indicators (WDI), World Bank
#> 11635 Consolidated banking statistics, Bank for International Settlements (BIS)
#> 11639 White Clarke Global Leasing Report
#> 11640 Factors Chain International
#> 11641 Luc Laeven and Fabián Valencia, 2012. “Systemic Banking Crises Database: An Update”, IMF Working Paper WP/12/163
#> 12921 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 12935 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 13104 World Information Technology and Services Alliance, Digital Planet: The Global Information Economy, and Global Insight, Inc.
#> 13171 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13172 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13173 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13174 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13175 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13176 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13453 <NA>
#> 13455 <NA>
#> 13563 International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.
#> 15571 Mo Ibrahim Foundation, electronic files and web site.
#> 15595 SIPRI Military Expenditure Database, Stockholm International Peace Research Institute (SIPRI), uri: https://www.sipri.org/databases
#> 15600 <NA>
#> 15601 <NA>
#> 15602 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15603 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15604 <NA>
#> 15605 <NA>
#> 15606 <NA>
#> 15607 <NA>
#> 15608 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15609 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15610 <NA>
#> 15611 <NA>
#> 15612 <NA>
#> 15613 <NA>
#> 15614 <NA>
#> 15615 <NA>
#> 15616 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15617 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15618 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15619 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15620 <NA>
#> 15621 <NA>
#> 15622 <NA>
#> 15623 <NA>
#> 15624 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15625 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15626 <NA>
#> 15627 <NA>
#> 15628 <NA>
#> 15629 <NA>
#> 15630 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15631 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15632 <NA>
#> 15633 <NA>
#> 15634 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15635 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15636 <NA>
#> 15637 <NA>
#> 15638 <NA>
#> 15639 <NA>
#> 15640 <NA>
#> 15641 <NA>
#> 15642 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15643 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15644 <NA>
#> 15645 <NA>
#> 15646 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15647 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15648 <NA>
#> 15649 <NA>
#> 15650 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15651 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15652 <NA>
#> 15653 <NA>
#> 15654 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15655 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15656 <NA>
#> 15657 <NA>
#> 15666 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 15668 International Comparison Program (ICP), World Bank (WB), note: This information is for PPP conversion factors., publisher: International Comparison Program (ICP), date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, note: This information is for PPP conversion factors., publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB), note: This information is for households and NPISHs Final consumption expenditure per capita.;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD), note: This information is for households and NPISHs Final consumption expenditure per capita.;\nWorld Economic Outlook database, International Monetary Fund (IMF), note: This information is for households and NPISHs Final consumption expenditure per capita.
#> 15669 International Comparison Program (ICP), World Bank (WB), note: This information is for PPP conversion factors., publisher: International Comparison Program (ICP), date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, note: This information is for PPP conversion factors., publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, note: This information is for PPP conversion factors., publisher: OECD;\nStaff estimates, World Bank (WB), note: This information is for households and NPISHs Final consumption expenditure per capita.;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD), note: This information is for households and NPISHs Final consumption expenditure per capita.;\nWorld Economic Outlook database, International Monetary Fund (IMF), note: This information is for households and NPISHs Final consumption expenditure per capita.
#> 15679 World Bank national accounts data, and OECD National Accounts data files.
#> 15694 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 15695 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 15696 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15706 World Bank national accounts data, and OECD National Accounts data files.
#> 15714 <NA>
#> 15715 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15725 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15737 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 15739 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15740 <NA>
#> 15741 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15742 <NA>
#> 15743 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15744 <NA>
#> 15745 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15746 <NA>
#> 15771 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15776 World Bank national accounts data, and OECD National Accounts data files.
#> 15779 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15786 <NA>
#> 15787 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15788 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15789 <NA>
#> 15790 <NA>
#> 15795 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15799 <NA>
#> 15808 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15815 <NA>
#> 15816 <NA>
#> 15817 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15827 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 15828 World Bank country economists.
#> 15834 <NA>
#> 15835 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15838 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15902 <NA>
#> 15906 <NA>
#> 15912 <NA>
#> 15920 World Bank country economists.
#> 15930 World Bank country economists.
#> 15931 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 15951 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 15965 <NA>
#> 15966 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 15984 World Bank national accounts data, and OECD National Accounts data files.
#> 15985 World Bank national accounts data, and OECD National Accounts data files.
#> 15986 World Bank national accounts data, and OECD National Accounts data files.
#> 16003 <NA>
#> 16004 World Bank national accounts data, and OECD National Accounts data files.
#> 16010 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 16021 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16023 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16025 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16027 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16029 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16031 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16033 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16035 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16039 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16041 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16055 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16057 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16063 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16065 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16083 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16085 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16125 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16127 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16129 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16131 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16133 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16135 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16137 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16139 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16145 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16147 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16153 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16156 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16159 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16161 World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
#> 16193 Organisation for Economic Co-operation and Development, Producer and Consumer Support Estimates database. Available online at www.oecd.org/tad/support/psecse.
#> 16197 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16198 <NA>
#> 16199 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 16200 Staff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16201 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16202 <NA>
#> 16203 Staff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16204 World Bank national accounts data, and OECD National Accounts data files.
#> 16205 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16206 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16207 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 16208 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16209 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16210 <NA>
#> 16211 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 16212 <NA>
#> 16213 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16214 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16215 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16216 World Bank country economists.
#> 16217 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16218 Staff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16219 World Bank country economists.
#> 16220 <NA>
#> 16221 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16222 <NA>
#> 16223 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16224 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16225 <NA>
#> 16226 <NA>
#> 16227 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat, date accessed: Periodical update;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-https://data-explorer.oecd.org/, publisher: OECD, date accessed: Periodical update;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16228 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16229 <NA>
#> 16230 <NA>
#> 16231 World Bank national accounts data, and OECD National Accounts data files.
#> 16232 <NA>
#> 16233 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16234 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16235 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16236 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16237 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16238 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16239 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16240 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16241 <NA>
#> 16242 "World Bank, International Comparison Programme database.\r"
#> 16243 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16244 The Changing Wealth of Nations, World Bank (WB), uri: https://www.worldbank.org/en/publication/changing-wealth-of-nations/data, note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations., publisher: World Bank (WB);\nStaff estimates, World Bank (WB), note: World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.
#> 16251 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16252 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16253 World Bank country economists.
#> 16255 World Bank national accounts data, and OECD National Accounts data files.
#> 16257 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16258 World Bank national accounts data, and OECD National Accounts data files.
#> 16260 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16262 <NA>
#> 16263 <NA>
#> 16264 <NA>
#> 16265 <NA>
#> 16266 <NA>
#> 16267 <NA>
#> 16268 <NA>
#> 16269 <NA>
#> 16281 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16282 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16292 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16293 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, note: This information is for ICP’s PPPs utilized in WDI, publisher: International Comparison Program (ICP), date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-explorer.oecd.org/, publisher: OECD;\nStaff estimates, World Bank (WB);\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nWorld Economic Outlook database, International Monetary Fund (IMF)
#> 16302 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 16340 The World Bank
#> 16341 <NA>
#> 16342 <NA>
#> 16343 <NA>
#> 16344 <NA>
#> 16420 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators
#> 16421 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, publisher: International Comparison Program, type: International statistical program, date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat, type: International statistical program;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-https://data-explorer.oecd.org/, publisher: OECD
#> 16422 World Bank, International Comparison Program database.
#> 16423 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators, type: International database
#> 16425 International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, publisher: International Comparison Program, type: International statistical program, date accessed: May 30, 2024, date published: May 30, 2024;\nThe Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat, type: International statistical program;\nThe OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-https://data-explorer.oecd.org/, publisher: OECD
#> 16484 <NA>
#> 16492 <NA>
#> 16517 <NA>
#> 16539 <NA>
#> 16548 <NA>
#> 16557 <NA>
#> 16562 <NA>
#> 16564 <NA>
#> 16565 <NA>
#> 16578 <NA>
#> 16594 <NA>
#> 16613 <NA>
#> 16624 <NA>
#> 16625 <NA>
#> 16627 <NA>
#> 16661 <NA>
#> 16678 <NA>
#> 16694 <NA>
#> 16775 <NA>
#> 16799 <NA>
#> 16804 <NA>
#> 16854 <NA>
#> 16871 <NA>
#> 16893 <NA>
#> 16897 <NA>
#> 16949 <NA>
#> 16965 <NA>
#> 16988 <NA>
#> 16992 <NA>
#> 17060 <NA>
#> 17120 <NA>
#> 17141 <NA>
#> 17142 <NA>
#> 17143 <NA>
#> 17144 <NA>
#> 17145 <NA>
#> 17200 <NA>
#> 17217 <NA>
#> 17249 <NA>
#> 17257 <NA>
#> 17277 <NA>
#> 17281 <NA>
#> 17304 <NA>
#> 17319 <NA>
#> 17324 <NA>
#> 21520 Ministry of Finance, SIKD (Information System for Sub-National Budget) and LKPP (Central Government Financial Report)
#> 24343 <NA>
#> 24716 World Bank, Global Education Policy Dashboard
#> 24780 World Bank, Global Education Policy Dashboard
#> 25007 <NA>
#> 25012 <NA>
#> 25013 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25016 <NA>
#> 25017 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25021 <NA>
#> 25022 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25025 Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Detailed documentation is available at: https://api.uis.unesco.org/api/public/documentation/, publisher: UNESCO Institute for Statistics (UIS), date accessed: 2026-03-19, date published: 2026-02
#> 25045 <NA>
#> 25939 Trends in Maternal Mortality, World Health Organization (WHO), uri: https://www.who.int/news/item/23-02-2023-a-woman-dies-every-two-minutes-due-to-pregnancy-or-childbirth--un-agencies;\nUN Children's Fund (UNICEF), note: Trends in Maternal Mortality;\nUN Population Fund (UNFPA), note: Trends in Maternal Mortality;\nWorld Bank Group (WBG), note: Trends in Maternal Mortality
#> 26083 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: https://apps.who.int/nha/database
#> 26092 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: http://apps.who.int/nha/database
#> 26096 <NA>
#> 26097 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 7, 2023.
#> 26109 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26112 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26118 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26292 Staff estimates, World Bank (WB), note: Estimates are based on employment, population, GDP, and PPP data obtained from International Labour Organization, United Nations Population Division, Eurostat, OECD, and World Bank., type: estimates based on external database;\nInternational Labour Organization (ILO);\nUnited Nations (UN), publisher: UN Population Division;\nEurostat (ESTAT);\nOrganisation for Economic Co-operation and Development (OECD);\nWorld Development Indicators database, World Bank (WB)
#> 26293 International Labour Organization, Key Indicators of the Labour Market database.
#> 26294 Derived using data from International Labour Organization, ILOSTAT database. The data retrieved in March 1, 2020.
#> 27036 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27038 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27043 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27078 <NA>
#> 27079 World Trade Organization (WTO);\nWorld Bank GDP estimates, World Bank (WB);\nWorld Development Indicators, World Bank (WB)
#> 27080 <NA>
#> 29287 UNESCO Institute for Statistics
#> 29288 UNESCO Institute for Statistics
#> 29289 UNESCO Institute for Statistics
#> 29290 UNESCO Institute for Statistics
#> 29291 UNESCO Institute for Statistics
#> 29292 UNESCO Institute for Statistics
#> 29293 UNESCO Institute for Statistics
#> 29294 UNESCO Institute for Statistics
#> 29295 UNESCO Institute for Statistics
#> 29296 UNESCO Institute for Statistics
#> 29307 UNESCO Institute for Statistics
#> 29308 UNESCO Institute for Statistics
#> 29309 UNESCO Institute for Statistics
#> 29310 UNESCO Institute for Statistics
#> 29311 UNESCO Institute for Statistics
#> 29312 UNESCO Institute for Statistics
#> 29313 UNESCO Institute for Statistics
#> 29314 UNESCO Institute for Statistics
#> 29315 UNESCO Institute for Statistics
#> 29316 UNESCO Institute for Statistics
#> 29317 UNESCO Institute for Statistics
#> 29318 UNESCO Institute for Statistics
#> 29319 UNESCO Institute for Statistics
#> 29320 UNESCO Institute for Statistics
#> 29321 UNESCO Institute for Statistics
#> 29322 UNESCO Institute for Statistics
#> 29323 UNESCO Institute for Statistics
#> 29324 UNESCO Institute for Statistics
#> 29374 UNESCO Institute for Statistics
#> 29375 UNESCO Institute for Statistics
#> 29376 UNESCO Institute for Statistics
#> 29377 UNESCO Institute for Statistics
#> 29378 UNESCO Institute for Statistics
#> 29379 UNESCO Institute for Statistics
#> 29380 UNESCO Institute for Statistics
#> 29381 UNESCO Institute for Statistics
#> 29382 UNESCO Institute for Statistics
#> topic_id topic_value
#> 689 3 Economy & Growth
#> 690 3 Economy & Growth
#> 691 3 Economy & Growth
#> 692 3 Economy & Growth
#> 2097 3 Economy & Growth
#> 2098 NA <NA>
#> 2099 NA <NA>
#> 2100 NA <NA>
#> 2101 NA <NA>
#> 2402 NA <NA>
#> 2425 NA <NA>
#> 2437 NA <NA>
#> 2438 3 Economy & Growth
#> 2451 3 Economy & Growth
#> 2452 NA <NA>
#> 2455 NA <NA>
#> 2458 NA <NA>
#> 2464 NA <NA>
#> 2473 NA <NA>
#> 2475 NA <NA>
#> 2481 3 Economy & Growth
#> 2492 NA <NA>
#> 2541 NA <NA>
#> 2553 NA <NA>
#> 2555 3 Economy & Growth
#> 2564 NA <NA>
#> 2570 3 Economy & Growth
#> 2571 NA <NA>
#> 2868 NA <NA>
#> 2869 NA <NA>
#> 2944 NA <NA>
#> 2945 NA <NA>
#> 2968 NA <NA>
#> 2969 NA <NA>
#> 2970 NA <NA>
#> 3033 NA <NA>
#> 3034 NA <NA>
#> 3043 NA <NA>
#> 3136 NA <NA>
#> 3139 7 Financial Sector
#> 3142 7 Financial Sector
#> 4290 NA <NA>
#> 4293 NA <NA>
#> 4296 NA <NA>
#> 4299 NA <NA>
#> 4302 NA <NA>
#> 4307 NA <NA>
#> 4310 NA <NA>
#> 4313 NA <NA>
#> 4316 NA <NA>
#> 4319 NA <NA>
#> 4324 NA <NA>
#> 4327 NA <NA>
#> 4330 NA <NA>
#> 4333 NA <NA>
#> 4336 NA <NA>
#> 4341 NA <NA>
#> 4344 NA <NA>
#> 4347 NA <NA>
#> 4350 NA <NA>
#> 4353 NA <NA>
#> 4358 NA <NA>
#> 4361 NA <NA>
#> 4364 NA <NA>
#> 4367 NA <NA>
#> 4370 NA <NA>
#> 4375 NA <NA>
#> 4378 NA <NA>
#> 4381 NA <NA>
#> 4384 NA <NA>
#> 4387 NA <NA>
#> 4390 NA <NA>
#> 4393 NA <NA>
#> 4396 NA <NA>
#> 4399 NA <NA>
#> 4404 NA <NA>
#> 4407 NA <NA>
#> 4410 NA <NA>
#> 4413 NA <NA>
#> 4416 NA <NA>
#> 4421 NA <NA>
#> 4425 NA <NA>
#> 4427 NA <NA>
#> 4429 NA <NA>
#> 4431 NA <NA>
#> 4433 NA <NA>
#> 4435 NA <NA>
#> 4437 NA <NA>
#> 4439 NA <NA>
#> 4441 NA <NA>
#> 4443 NA <NA>
#> 4446 NA <NA>
#> 4449 NA <NA>
#> 4452 NA <NA>
#> 4455 NA <NA>
#> 4458 NA <NA>
#> 4461 NA <NA>
#> 4464 NA <NA>
#> 4467 NA <NA>
#> 4470 NA <NA>
#> 4475 NA <NA>
#> 4478 NA <NA>
#> 4481 NA <NA>
#> 4484 NA <NA>
#> 4487 NA <NA>
#> 4492 NA <NA>
#> 4495 NA <NA>
#> 4498 NA <NA>
#> 4501 NA <NA>
#> 4504 NA <NA>
#> 4509 NA <NA>
#> 4514 NA <NA>
#> 4517 NA <NA>
#> 4520 NA <NA>
#> 4523 NA <NA>
#> 4526 NA <NA>
#> 4529 NA <NA>
#> 4532 NA <NA>
#> 4535 NA <NA>
#> 4538 NA <NA>
#> 4543 NA <NA>
#> 4546 NA <NA>
#> 4549 NA <NA>
#> 4552 NA <NA>
#> 4555 NA <NA>
#> 4560 NA <NA>
#> 4565 NA <NA>
#> 4568 NA <NA>
#> 4571 NA <NA>
#> 4574 NA <NA>
#> 4577 NA <NA>
#> 4580 NA <NA>
#> 4583 NA <NA>
#> 4586 NA <NA>
#> 4589 NA <NA>
#> 4594 NA <NA>
#> 4597 NA <NA>
#> 4600 NA <NA>
#> 4603 NA <NA>
#> 4606 NA <NA>
#> 4611 NA <NA>
#> 4616 NA <NA>
#> 4619 NA <NA>
#> 4622 NA <NA>
#> 4625 NA <NA>
#> 4628 NA <NA>
#> 4631 NA <NA>
#> 4634 NA <NA>
#> 4637 NA <NA>
#> 4640 NA <NA>
#> 4645 NA <NA>
#> 4648 NA <NA>
#> 4651 NA <NA>
#> 4654 NA <NA>
#> 4657 NA <NA>
#> 4662 NA <NA>
#> 4667 NA <NA>
#> 4670 NA <NA>
#> 4673 NA <NA>
#> 4676 NA <NA>
#> 4679 NA <NA>
#> 4682 NA <NA>
#> 4685 NA <NA>
#> 4688 NA <NA>
#> 4691 NA <NA>
#> 4696 NA <NA>
#> 4701 NA <NA>
#> 4704 NA <NA>
#> 4707 NA <NA>
#> 4710 NA <NA>
#> 4713 NA <NA>
#> 4716 NA <NA>
#> 4719 NA <NA>
#> 4722 NA <NA>
#> 4725 NA <NA>
#> 4730 NA <NA>
#> 4733 NA <NA>
#> 4736 NA <NA>
#> 4739 NA <NA>
#> 4742 NA <NA>
#> 4747 NA <NA>
#> 4753 NA <NA>
#> 4756 NA <NA>
#> 4759 NA <NA>
#> 4762 NA <NA>
#> 4765 NA <NA>
#> 4770 NA <NA>
#> 4773 NA <NA>
#> 4776 NA <NA>
#> 4779 NA <NA>
#> 4782 NA <NA>
#> 4787 NA <NA>
#> 4790 NA <NA>
#> 4793 NA <NA>
#> 4796 NA <NA>
#> 4799 NA <NA>
#> 4804 NA <NA>
#> 4807 NA <NA>
#> 4810 NA <NA>
#> 4813 NA <NA>
#> 4816 NA <NA>
#> 4821 NA <NA>
#> 4824 NA <NA>
#> 4827 NA <NA>
#> 4830 NA <NA>
#> 4833 NA <NA>
#> 4838 NA <NA>
#> 4841 NA <NA>
#> 4844 NA <NA>
#> 4847 NA <NA>
#> 4850 NA <NA>
#> 5346 NA <NA>
#> 5349 NA <NA>
#> 5350 NA <NA>
#> 5504 NA <NA>
#> 7123 NA <NA>
#> 7194 NA <NA>
#> 7199 NA <NA>
#> 7207 NA <NA>
#> 7213 NA <NA>
#> 7363 NA <NA>
#> 7760 NA <NA>
#> 7763 NA <NA>
#> 7767 5 Energy & Mining
#> 7791 NA <NA>
#> 7792 NA <NA>
#> 7793 5 Energy & Mining
#> 7794 5 Energy & Mining
#> 7802 5 Energy & Mining
#> 7921 NA <NA>
#> 7925 NA <NA>
#> 7926 19 Climate Change
#> 7931 19 Climate Change
#> 7932 19 Climate Change
#> 8017 6 Environment
#> 8018 6 Environment
#> 8101 6 Environment
#> 8119 NA <NA>
#> 8173 NA <NA>
#> 8526 7 Financial Sector
#> 8635 NA <NA>
#> 10994 NA <NA>
#> 11003 7 Financial Sector
#> 11012 7 Financial Sector
#> 11019 NA <NA>
#> 11020 NA <NA>
#> 11022 NA <NA>
#> 11027 NA <NA>
#> 11028 NA <NA>
#> 11084 NA <NA>
#> 11093 7 Financial Sector
#> 11098 7 Financial Sector
#> 11099 7 Financial Sector
#> 11100 7 Financial Sector
#> 11101 NA <NA>
#> 11103 7 Financial Sector
#> 11104 NA <NA>
#> 11105 NA <NA>
#> 11106 NA <NA>
#> 11107 NA <NA>
#> 11170 NA <NA>
#> 11171 NA <NA>
#> 11180 NA <NA>
#> 11181 NA <NA>
#> 11185 NA <NA>
#> 11186 NA <NA>
#> 11190 NA <NA>
#> 11191 NA <NA>
#> 11201 NA <NA>
#> 11204 NA <NA>
#> 11206 NA <NA>
#> 11209 NA <NA>
#> 11211 NA <NA>
#> 11213 NA <NA>
#> 11214 NA <NA>
#> 11217 NA <NA>
#> 11218 NA <NA>
#> 11219 NA <NA>
#> 11220 NA <NA>
#> 11245 NA <NA>
#> 11246 NA <NA>
#> 11264 NA <NA>
#> 11267 14 Science & Technology
#> 11270 NA <NA>
#> 11271 NA <NA>
#> 11278 13 Public Sector
#> 11281 NA <NA>
#> 11286 3 Economy & Growth
#> 11290 NA <NA>
#> 11292 NA <NA>
#> 11294 13 Public Sector
#> 11296 13 Public Sector
#> 11298 13 Public Sector
#> 11309 3 Economy & Growth
#> 11324 13 Public Sector
#> 11341 3 Economy & Growth
#> 11584 7 Financial Sector
#> 11585 7 Financial Sector
#> 11586 7 Financial Sector
#> 11588 7 Financial Sector
#> 11589 7 Financial Sector
#> 11590 7 Financial Sector
#> 11591 7 Financial Sector
#> 11592 7 Financial Sector
#> 11593 7 Financial Sector
#> 11594 7 Financial Sector
#> 11595 7 Financial Sector
#> 11596 7 Financial Sector
#> 11597 7 Financial Sector
#> 11598 7 Financial Sector
#> 11599 7 Financial Sector
#> 11600 7 Financial Sector
#> 11601 7 Financial Sector
#> 11602 7 Financial Sector
#> 11603 7 Financial Sector
#> 11604 7 Financial Sector
#> 11605 7 Financial Sector
#> 11606 7 Financial Sector
#> 11607 7 Financial Sector
#> 11608 NA <NA>
#> 11609 NA <NA>
#> 11610 NA <NA>
#> 11613 NA <NA>
#> 11621 7 Financial Sector
#> 11626 7 Financial Sector
#> 11629 7 Financial Sector
#> 11630 7 Financial Sector
#> 11634 7 Financial Sector
#> 11635 7 Financial Sector
#> 11639 7 Financial Sector
#> 11640 7 Financial Sector
#> 11641 7 Financial Sector
#> 12921 NA <NA>
#> 12935 NA <NA>
#> 13104 9 Infrastructure
#> 13171 NA <NA>
#> 13172 NA <NA>
#> 13173 NA <NA>
#> 13174 NA <NA>
#> 13175 NA <NA>
#> 13176 NA <NA>
#> 13453 NA <NA>
#> 13455 NA <NA>
#> 13563 9 Infrastructure
#> 15571 NA <NA>
#> 15595 13 Public Sector
#> 15600 NA <NA>
#> 15601 NA <NA>
#> 15602 NA <NA>
#> 15603 NA <NA>
#> 15604 NA <NA>
#> 15605 NA <NA>
#> 15606 NA <NA>
#> 15607 NA <NA>
#> 15608 NA <NA>
#> 15609 NA <NA>
#> 15610 NA <NA>
#> 15611 NA <NA>
#> 15612 NA <NA>
#> 15613 NA <NA>
#> 15614 NA <NA>
#> 15615 NA <NA>
#> 15616 NA <NA>
#> 15617 NA <NA>
#> 15618 NA <NA>
#> 15619 NA <NA>
#> 15620 NA <NA>
#> 15621 NA <NA>
#> 15622 NA <NA>
#> 15623 NA <NA>
#> 15624 NA <NA>
#> 15625 NA <NA>
#> 15626 NA <NA>
#> 15627 NA <NA>
#> 15628 NA <NA>
#> 15629 NA <NA>
#> 15630 NA <NA>
#> 15631 NA <NA>
#> 15632 NA <NA>
#> 15633 NA <NA>
#> 15634 NA <NA>
#> 15635 NA <NA>
#> 15636 NA <NA>
#> 15637 NA <NA>
#> 15638 NA <NA>
#> 15639 NA <NA>
#> 15640 NA <NA>
#> 15641 NA <NA>
#> 15642 NA <NA>
#> 15643 NA <NA>
#> 15644 NA <NA>
#> 15645 NA <NA>
#> 15646 NA <NA>
#> 15647 NA <NA>
#> 15648 NA <NA>
#> 15649 NA <NA>
#> 15650 NA <NA>
#> 15651 NA <NA>
#> 15652 NA <NA>
#> 15653 NA <NA>
#> 15654 NA <NA>
#> 15655 NA <NA>
#> 15656 NA <NA>
#> 15657 NA <NA>
#> 15666 3 Economy & Growth
#> 15668 NA <NA>
#> 15669 NA <NA>
#> 15679 3 Economy & Growth
#> 15694 3 Economy & Growth
#> 15695 3 Economy & Growth
#> 15696 3 Economy & Growth
#> 15706 3 Economy & Growth
#> 15714 NA <NA>
#> 15715 3 Economy & Growth
#> 15725 3 Economy & Growth
#> 15737 3 Economy & Growth
#> 15739 NA <NA>
#> 15740 NA <NA>
#> 15741 NA <NA>
#> 15742 NA <NA>
#> 15743 NA <NA>
#> 15744 NA <NA>
#> 15745 NA <NA>
#> 15746 NA <NA>
#> 15771 3 Economy & Growth
#> 15776 NA <NA>
#> 15779 NA <NA>
#> 15786 NA <NA>
#> 15787 3 Economy & Growth
#> 15788 NA <NA>
#> 15789 NA <NA>
#> 15790 NA <NA>
#> 15795 NA <NA>
#> 15799 NA <NA>
#> 15808 NA <NA>
#> 15815 NA <NA>
#> 15816 NA <NA>
#> 15817 3 Economy & Growth
#> 15827 3 Economy & Growth
#> 15828 NA <NA>
#> 15834 NA <NA>
#> 15835 3 Economy & Growth
#> 15838 3 Economy & Growth
#> 15902 NA <NA>
#> 15906 NA <NA>
#> 15912 NA <NA>
#> 15920 NA <NA>
#> 15930 NA <NA>
#> 15931 1 Agriculture & Rural Development
#> 15951 3 Economy & Growth
#> 15965 NA <NA>
#> 15966 3 Economy & Growth
#> 15984 NA <NA>
#> 15985 NA <NA>
#> 15986 NA <NA>
#> 16003 NA <NA>
#> 16004 3 Economy & Growth
#> 16010 3 Economy & Growth
#> 16021 NA <NA>
#> 16023 NA <NA>
#> 16025 NA <NA>
#> 16027 NA <NA>
#> 16029 NA <NA>
#> 16031 NA <NA>
#> 16033 NA <NA>
#> 16035 NA <NA>
#> 16039 NA <NA>
#> 16041 NA <NA>
#> 16055 NA <NA>
#> 16057 NA <NA>
#> 16063 NA <NA>
#> 16065 NA <NA>
#> 16083 NA <NA>
#> 16085 NA <NA>
#> 16125 NA <NA>
#> 16127 NA <NA>
#> 16129 NA <NA>
#> 16131 NA <NA>
#> 16133 NA <NA>
#> 16135 NA <NA>
#> 16137 NA <NA>
#> 16139 NA <NA>
#> 16145 NA <NA>
#> 16147 NA <NA>
#> 16153 NA <NA>
#> 16156 NA <NA>
#> 16159 NA <NA>
#> 16161 NA <NA>
#> 16193 18 Millenium development goals
#> 16197 6 Environment
#> 16198 NA <NA>
#> 16199 3 Economy & Growth
#> 16200 7 Financial Sector
#> 16201 3 Economy & Growth
#> 16202 NA <NA>
#> 16203 7 Financial Sector
#> 16204 NA <NA>
#> 16205 3 Economy & Growth
#> 16206 3 Economy & Growth
#> 16207 3 Economy & Growth
#> 16208 3 Economy & Growth
#> 16209 3 Economy & Growth
#> 16210 NA <NA>
#> 16211 3 Economy & Growth
#> 16212 NA <NA>
#> 16213 6 Environment
#> 16214 5 Energy & Mining
#> 16215 3 Economy & Growth
#> 16216 NA <NA>
#> 16217 3 Economy & Growth
#> 16218 3 Economy & Growth
#> 16219 NA <NA>
#> 16220 NA <NA>
#> 16221 3 Economy & Growth
#> 16222 NA <NA>
#> 16223 3 Economy & Growth
#> 16224 3 Economy & Growth
#> 16225 NA <NA>
#> 16226 NA <NA>
#> 16227 3 Economy & Growth
#> 16228 3 Economy & Growth
#> 16229 NA <NA>
#> 16230 NA <NA>
#> 16231 NA <NA>
#> 16232 NA <NA>
#> 16233 5 Energy & Mining
#> 16234 3 Economy & Growth
#> 16235 3 Economy & Growth
#> 16236 3 Economy & Growth
#> 16237 3 Economy & Growth
#> 16238 3 Economy & Growth
#> 16239 3 Economy & Growth
#> 16240 3 Economy & Growth
#> 16241 NA <NA>
#> 16242 NA <NA>
#> 16243 5 Energy & Mining
#> 16244 5 Energy & Mining
#> 16251 3 Economy & Growth
#> 16252 3 Economy & Growth
#> 16253 NA <NA>
#> 16255 NA <NA>
#> 16257 3 Economy & Growth
#> 16258 NA <NA>
#> 16260 3 Economy & Growth
#> 16262 NA <NA>
#> 16263 NA <NA>
#> 16264 NA <NA>
#> 16265 NA <NA>
#> 16266 NA <NA>
#> 16267 NA <NA>
#> 16268 NA <NA>
#> 16269 NA <NA>
#> 16281 3 Economy & Growth
#> 16282 3 Economy & Growth
#> 16292 3 Economy & Growth
#> 16293 3 Economy & Growth
#> 16302 3 Economy & Growth
#> 16340 NA <NA>
#> 16341 NA <NA>
#> 16342 NA <NA>
#> 16343 NA <NA>
#> 16344 NA <NA>
#> 16420 NA <NA>
#> 16421 3 Economy & Growth
#> 16422 3 Economy & Growth
#> 16423 3 Economy & Growth
#> 16425 3 Economy & Growth
#> 16484 NA <NA>
#> 16492 NA <NA>
#> 16517 NA <NA>
#> 16539 NA <NA>
#> 16548 NA <NA>
#> 16557 NA <NA>
#> 16562 NA <NA>
#> 16564 NA <NA>
#> 16565 NA <NA>
#> 16578 NA <NA>
#> 16594 NA <NA>
#> 16613 NA <NA>
#> 16624 NA <NA>
#> 16625 NA <NA>
#> 16627 NA <NA>
#> 16661 NA <NA>
#> 16678 NA <NA>
#> 16694 NA <NA>
#> 16775 NA <NA>
#> 16799 NA <NA>
#> 16804 NA <NA>
#> 16854 NA <NA>
#> 16871 NA <NA>
#> 16893 NA <NA>
#> 16897 NA <NA>
#> 16949 NA <NA>
#> 16965 NA <NA>
#> 16988 NA <NA>
#> 16992 NA <NA>
#> 17060 NA <NA>
#> 17120 NA <NA>
#> 17141 NA <NA>
#> 17142 NA <NA>
#> 17143 NA <NA>
#> 17144 NA <NA>
#> 17145 NA <NA>
#> 17200 NA <NA>
#> 17217 NA <NA>
#> 17249 NA <NA>
#> 17257 NA <NA>
#> 17277 NA <NA>
#> 17281 NA <NA>
#> 17304 NA <NA>
#> 17319 NA <NA>
#> 17324 NA <NA>
#> 21520 NA <NA>
#> 24343 NA <NA>
#> 24716 NA <NA>
#> 24780 NA <NA>
#> 25007 NA <NA>
#> 25012 NA <NA>
#> 25013 4 Education
#> 25016 NA <NA>
#> 25017 4 Education
#> 25021 NA <NA>
#> 25022 4 Education
#> 25025 4 Education
#> 25045 NA <NA>
#> 25939 8 Health
#> 26083 8 Health
#> 26092 8 Health
#> 26096 NA <NA>
#> 26097 NA <NA>
#> 26109 8 Health
#> 26112 8 Health
#> 26118 8 Health
#> 26292 10 Social Protection & Labor
#> 26293 NA <NA>
#> 26294 NA <NA>
#> 27036 NA <NA>
#> 27038 NA <NA>
#> 27043 NA <NA>
#> 27078 NA <NA>
#> 27079 12 Private Sector
#> 27080 NA <NA>
#> 29287 NA <NA>
#> 29288 NA <NA>
#> 29289 NA <NA>
#> 29290 NA <NA>
#> 29291 NA <NA>
#> 29292 NA <NA>
#> 29293 NA <NA>
#> 29294 NA <NA>
#> 29295 NA <NA>
#> 29296 NA <NA>
#> 29307 NA <NA>
#> 29308 NA <NA>
#> 29309 NA <NA>
#> 29310 NA <NA>
#> 29311 NA <NA>
#> 29312 NA <NA>
#> 29313 NA <NA>
#> 29314 NA <NA>
#> 29315 NA <NA>
#> 29316 NA <NA>
#> 29317 NA <NA>
#> 29318 NA <NA>
#> 29319 NA <NA>
#> 29320 NA <NA>
#> 29321 NA <NA>
#> 29322 NA <NA>
#> 29323 NA <NA>
#> 29324 NA <NA>
#> 29374 NA <NA>
#> 29375 NA <NA>
#> 29376 NA <NA>
#> 29377 NA <NA>
#> 29378 NA <NA>
#> 29379 NA <NA>
#> 29380 NA <NA>
#> 29381 NA <NA>
#> 29382 NA <NA>
# }