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
#> 12909 IC.FRM.PROD.GROW.PEFT3
#> 12923 IC.FRM.SLS.GROW.PEFT1
#> 13092 IE.ICT.TOTL.GD.ZS
#> 13159 IN.EC.GSDP.PERCAP.NOM.INR
#> 13160 IN.EC.GSDP.PERCAP.NOM.USD
#> 13161 IN.EC.GSDP.PERCAP.REAL.INR
#> 13162 IN.EC.GSDP.PERCAP.REAL.INR.GRWTHRAT
#> 13163 IN.EC.GSDP.PERCAP.REAL.USD
#> 13164 IN.EC.GSDP.PERCAP.REAL.USD.GRWTHRAT
#> 13441 IS.RRS.GOOD.KM.PP.ZS
#> 13443 IS.RRS.PASG.K2.PP.ZS
#> 13551 IT.TEL.REVN.GD.ZS
#> 15559 MO.INDEX.ECON.XQ
#> 15583 MS.MIL.XPND.GD.ZS
#> 15588 NA.GDP.ACC.FB.SNA08.CR
#> 15589 NA.GDP.ACC.FB.SNA08.KR
#> 15590 NA.GDP.AGR.CR
#> 15591 NA.GDP.AGR.KR
#> 15592 NA.GDP.AGR.SNA08.CR
#> 15593 NA.GDP.AGR.SNA08.KR
#> 15594 NA.GDP.BUSS.SNA08.CR
#> 15595 NA.GDP.BUSS.SNA08.KR
#> 15596 NA.GDP.CNST.CR
#> 15597 NA.GDP.CNST.KR
#> 15598 NA.GDP.CNST.SNA08.CR
#> 15599 NA.GDP.CNST.SNA08.KR
#> 15600 NA.GDP.EDUS.SNA08.CR
#> 15601 NA.GDP.EDUS.SNA08.KR
#> 15602 NA.GDP.ELEC.GAS.SNA08.CR
#> 15603 NA.GDP.ELEC.GAS.SNA08.KR
#> 15604 NA.GDP.EXC.OG.CR
#> 15605 NA.GDP.EXC.OG.KR
#> 15606 NA.GDP.FINS.CR
#> 15607 NA.GDP.FINS.KR
#> 15608 NA.GDP.FINS.SNA08.CR
#> 15609 NA.GDP.FINS.SNA08.KR
#> 15610 NA.GDP.HLTH.SOCW.SNA08.CR
#> 15611 NA.GDP.HLTH.SOCW.SNA08.KR
#> 15612 NA.GDP.INC.OG.CR
#> 15613 NA.GDP.INC.OG.KR
#> 15614 NA.GDP.INC.OG.SNA08.CR
#> 15615 NA.GDP.INC.OG.SNA08.KR
#> 15616 NA.GDP.INF.COMM.SNA08.CR
#> 15617 NA.GDP.INF.COMM.SNA08.KR
#> 15618 NA.GDP.MINQ.CR
#> 15619 NA.GDP.MINQ.KR
#> 15620 NA.GDP.MINQ.SNA08.CR
#> 15621 NA.GDP.MINQ.SNA08.KR
#> 15622 NA.GDP.MNF.CR
#> 15623 NA.GDP.MNF.KR
#> 15624 NA.GDP.MNF.SNA08.CR
#> 15625 NA.GDP.MNF.SNA08.KR
#> 15626 NA.GDP.PADM.DEF.SNA08.CR
#> 15627 NA.GDP.PADM.DEF.SNA08.KR
#> 15628 NA.GDP.REST.SNA08.CR
#> 15629 NA.GDP.REST.SNA08.KR
#> 15630 NA.GDP.SRV.OTHR.CR
#> 15631 NA.GDP.SRV.OTHR.KR
#> 15632 NA.GDP.SRV.OTHR.SNA08.CR
#> 15633 NA.GDP.SRV.OTHR.SNA08.KR
#> 15634 NA.GDP.TRAN.COMM.CR
#> 15635 NA.GDP.TRAN.COMM.KR
#> 15636 NA.GDP.TRAN.STOR.SNA08.CR
#> 15637 NA.GDP.TRAN.STOR.SNA08.KR
#> 15638 NA.GDP.TRD.HTL.CR
#> 15639 NA.GDP.TRD.HTL.KR
#> 15640 NA.GDP.TRD.SNA08.CR
#> 15641 NA.GDP.TRD.SNA08.KR
#> 15642 NA.GDP.UTL.CR
#> 15643 NA.GDP.UTL.KR
#> 15644 NA.GDP.WTR.WST.SNA08.CR
#> 15645 NA.GDP.WTR.WST.SNA08.KR
#> 15654 NE.CON.GOVT.ZS
#> 15656 NE.CON.PCAP.PP.CD
#> 15657 NE.CON.PCAP.PP.KD
#> 15667 NE.CON.PETC.ZS
#> 15682 NE.CON.PRVT.PP.CD
#> 15683 NE.CON.PRVT.PP.KD
#> 15684 NE.CON.PRVT.ZS
#> 15694 NE.CON.TETC.ZS
#> 15702 NE.CON.TOTL.ZG
#> 15703 NE.CON.TOTL.ZS
#> 15713 NE.DAB.TOTL.ZS
#> 15725 NE.EXP.GNFS.ZS
#> 15727 NE.GDI.CON.GOVT.CR
#> 15728 NE.GDI.CON.GOVT.SNA08.CR
#> 15729 NE.GDI.CON.NPI.CR
#> 15730 NE.GDI.CON.NPI.SNA08.CR
#> 15731 NE.GDI.CON.PRVT.CR
#> 15732 NE.GDI.CON.PRVT.SNA08.CR
#> 15733 NE.GDI.EXPT.CR
#> 15734 NE.GDI.EXPT.SNA08.CR
#> 15759 NE.GDI.FPRV.ZS
#> 15764 NE.GDI.FPUB.ZS
#> 15767 NE.GDI.FTOT.CR
#> 15774 NE.GDI.FTOT.SNA08.CR
#> 15775 NE.GDI.FTOT.ZS
#> 15776 NE.GDI.IMPT.CR
#> 15777 NE.GDI.IMPT.SNA08.CR
#> 15778 NE.GDI.INEX.SNA08.CR
#> 15783 NE.GDI.STKB.CR
#> 15787 NE.GDI.STKB.SNA08.CR
#> 15796 NE.GDI.TOTL.CR
#> 15803 NE.GDI.TOTL.SNA08.CR
#> 15804 NE.GDI.TOTL.ZG
#> 15805 NE.GDI.TOTL.ZS
#> 15815 NE.IMP.GNFS.ZS
#> 15816 NE.MRCH.GDP.ZS
#> 15822 NE.RSB.GNFS.ZG
#> 15823 NE.RSB.GNFS.ZS
#> 15826 NE.TRD.GNFS.ZS
#> 15890 NP.AGR.TOTL.ZG
#> 15894 NP.IND.TOTL.ZG
#> 15900 NP.SRV.TOTL.ZG
#> 15908 NV.AGR.PCAP.KD.ZG
#> 15918 NV.AGR.TOTL.ZG
#> 15919 NV.AGR.TOTL.ZS
#> 15939 NV.IND.MANF.ZS
#> 15953 NV.IND.TOTL.ZG
#> 15954 NV.IND.TOTL.ZS
#> 15972 NV.SRV.DISC.CD
#> 15973 NV.SRV.DISC.CN
#> 15974 NV.SRV.DISC.KN
#> 15991 NV.SRV.TETC.ZG
#> 15992 NV.SRV.TETC.ZS
#> 15998 NV.SRV.TOTL.ZS
#> 16009 NW.HCA.FEMA.PC
#> 16011 NW.HCA.FEMA.TO
#> 16013 NW.HCA.MALE.PC
#> 16015 NW.HCA.MALE.TO
#> 16017 NW.HCA.PC
#> 16019 NW.HCA.TO
#> 16021 NW.NCA.AGRI.PC
#> 16023 NW.NCA.AGRI.TO
#> 16027 NW.NCA.FISH.PC
#> 16029 NW.NCA.FISH.TO
#> 16043 NW.NCA.FTIM.PC
#> 16045 NW.NCA.FTIM.TO
#> 16051 NW.NCA.MANG.PC
#> 16053 NW.NCA.MANG.TO
#> 16071 NW.NCA.MINR.PC
#> 16073 NW.NCA.MINR.TO
#> 16113 NW.NCA.SACO.PC
#> 16115 NW.NCA.SACO.TO
#> 16117 NW.NCA.SAGA.PC
#> 16119 NW.NCA.SAGA.TO
#> 16121 NW.NCA.SAOI.PC
#> 16123 NW.NCA.SAOI.TO
#> 16125 NW.NCA.SSOI.PC
#> 16127 NW.NCA.SSOI.TO
#> 16133 NW.NFA.PC
#> 16135 NW.NFA.TO
#> 16141 NW.PCA.PC
#> 16144 NW.PCA.TO
#> 16147 NW.TOW.PC
#> 16149 NW.TOW.TO
#> 16181 NY.AGR.SUBS.GD.ZS
#> 16185 NY.GDP.COAL.RT.ZS
#> 16186 NY.GDP.DEFL.87.ZG
#> 16187 NY.GDP.DEFL.KD.ZG
#> 16188 NY.GDP.DEFL.KD.ZG.AD
#> 16189 NY.GDP.DEFL.ZS
#> 16190 NY.GDP.DEFL.ZS.87
#> 16191 NY.GDP.DEFL.ZS.AD
#> 16192 NY.GDP.DISC.CD
#> 16193 NY.GDP.DISC.CN
#> 16194 NY.GDP.DISC.KN
#> 16195 NY.GDP.FCST.CD
#> 16196 NY.GDP.FCST.CN
#> 16197 NY.GDP.FCST.KD
#> 16198 NY.GDP.FCST.KD.87
#> 16199 NY.GDP.FCST.KN
#> 16200 NY.GDP.FCST.KN.87
#> 16201 NY.GDP.FRST.RT.ZS
#> 16202 NY.GDP.MINR.RT.ZS
#> 16203 NY.GDP.MKTP.CD
#> 16204 NY.GDP.MKTP.CD.XD
#> 16205 NY.GDP.MKTP.CN
#> 16206 NY.GDP.MKTP.CN.AD
#> 16207 NY.GDP.MKTP.CN.XD
#> 16208 NY.GDP.MKTP.IN
#> 16209 NY.GDP.MKTP.KD
#> 16210 NY.GDP.MKTP.KD.87
#> 16211 NY.GDP.MKTP.KD.ZG
#> 16212 NY.GDP.MKTP.KN
#> 16213 NY.GDP.MKTP.KN.87
#> 16214 NY.GDP.MKTP.KN.87.ZG
#> 16215 NY.GDP.MKTP.PP.CD
#> 16216 NY.GDP.MKTP.PP.KD
#> 16217 NY.GDP.MKTP.PP.KD.87
#> 16218 NY.GDP.MKTP.XD
#> 16219 NY.GDP.MKTP.XU.E
#> 16220 NY.GDP.MKTP.ZG
#> 16221 NY.GDP.NGAS.RT.ZS
#> 16222 NY.GDP.PCAP.CD
#> 16223 NY.GDP.PCAP.CN
#> 16224 NY.GDP.PCAP.KD
#> 16225 NY.GDP.PCAP.KD.ZG
#> 16226 NY.GDP.PCAP.KN
#> 16227 NY.GDP.PCAP.PP.CD
#> 16228 NY.GDP.PCAP.PP.KD
#> 16229 NY.GDP.PCAP.PP.KD.87
#> 16230 NY.GDP.PCAP.PP.KD.ZG
#> 16231 NY.GDP.PETR.RT.ZS
#> 16232 NY.GDP.TOTL.RT.ZS
#> 16239 NY.GDS.TOTL.CD
#> 16240 NY.GDS.TOTL.CN
#> 16241 NY.GDS.TOTL.KD
#> 16243 NY.GDS.TOTL.KN
#> 16245 NY.GDS.TOTL.ZS
#> 16246 NY.GDY.TOTL.KD
#> 16248 NY.GDY.TOTL.KN
#> 16250 NY.GEN.AEDU.GD.ZS
#> 16251 NY.GEN.DCO2.GD.ZS
#> 16252 NY.GEN.DFOR.GD.ZS
#> 16253 NY.GEN.DKAP.GD.ZS
#> 16254 NY.GEN.DMIN.GD.ZS
#> 16255 NY.GEN.DNGY.GD.ZS
#> 16256 NY.GEN.NDOM.GD.ZS
#> 16257 NY.GEN.SVNG.GD.ZS
#> 16269 NY.GNP.MKTP.PP.CD
#> 16270 NY.GNP.MKTP.PP.KD
#> 16280 NY.GNP.PCAP.PP.CD
#> 16281 NY.GNP.PCAP.PP.KD
#> 16290 NY.GNS.ICTR.ZS
#> 16328 NYGDPMKTPKDZ
#> 16329 NYGDPMKTPSACD
#> 16330 NYGDPMKTPSACN
#> 16331 NYGDPMKTPSAKD
#> 16332 NYGDPMKTPSAKN
#> 16408 PA.NUS.GDP.PLI
#> 16409 PA.NUS.PPP
#> 16410 PA.NUS.PPP.05
#> 16411 PA.NUS.PPPC.RF
#> 16413 PA.NUS.PRVT.PP
#> 16472 PER.ALL.CNTRL.GDP
#> 16480 PER.ALL.CPL.GDP
#> 16505 PER.ALL.PS.GDP
#> 16527 PER.ALL.RCT.GDP
#> 16536 PER.ALL.SAL.GDP
#> 16545 PER.ALL.SUB.GDP
#> 16550 PER.ALL.TSAL.GDP
#> 16552 PER.ALL.TTL.GDP
#> 16553 PER.ALL.TTL.GDP.GOV
#> 16566 PER.BAS.GDP
#> 16582 PER.BAS.PS.GDP
#> 16601 PER.BAS.SAL.GDP
#> 16612 PER.EFF.GDP
#> 16613 PER.EFF.SUB.GDP
#> 16615 PER.EFF.TEACH.GDP
#> 16649 PER.JR.PS.GDP
#> 16666 PER.JR.SAL.GDP
#> 16682 PER.OC.FEED.GDP
#> 16763 PER.OC.TRA.GDP
#> 16787 PER.PP.GDP
#> 16792 PER.PP.PS.GDP
#> 16842 PER.PRM.GDP
#> 16859 PER.PRM.PS.GDP
#> 16881 PER.PRM.RCT.GDP
#> 16885 PER.PRM.SAL.GDP
#> 16937 PER.SEC.GDP
#> 16953 PER.SEC.PS.GDP
#> 16976 PER.SEC.RCT.GDP
#> 16980 PER.SEC.SAL.GDP
#> 17048 PER.SOR.GOV.GDP
#> 17108 PER.SOR.ITL.GDP
#> 17129 PER.SOR.PVT.GDP
#> 17130 PER.SOR.PVT.GDP.PP
#> 17131 PER.SOR.PVT.GDP.PRM
#> 17132 PER.SOR.PVT.GDP.SEC
#> 17133 PER.SOR.PVT.GDP.TER
#> 17188 PER.SR.PS.GDP
#> 17205 PER.SR.SAL.GDP
#> 17237 PER.TER.GDP
#> 17245 PER.TER.PS.GDP
#> 17265 PER.TER.RCT.GDP
#> 17269 PER.TER.SAL.GDP
#> 17292 PER.TT.PS.GDP
#> 17307 PER.VOC.GDP
#> 17312 PER.VOC.PS.GDP
#> 21508 REV.DAU.CR
#> 24331 SE.PRM.BFIN.6
#> 24704 SE.PRM.SATT.2
#> 24768 SE.PRM.TATT.1
#> 24995 SE.XPD.EDUC.ZS
#> 25000 SE.XPD.PRIM.GDP.ZS
#> 25001 SE.XPD.PRIM.PC.ZS
#> 25004 SE.XPD.SECO.GDP.ZS
#> 25005 SE.XPD.SECO.PC.ZS
#> 25009 SE.XPD.TERT.GDP.ZS
#> 25010 SE.XPD.TERT.PC.ZS
#> 25013 SE.XPD.TOTL.GD.ZS
#> 25033 SF.TRN.RAIL.KM.ZS
#> 25913 SH.STA.MMRT
#> 26057 SH.XPD.CHEX.GD.ZS
#> 26066 SH.XPD.GHED.GD.ZS
#> 26070 SH.XPD.HLTH.ZS
#> 26071 SH.XPD.KHEX.GD.ZS
#> 26083 SH.XPD.PRIV.ZS
#> 26086 SH.XPD.PUBL.ZS
#> 26092 SH.XPD.TOTL.ZS
#> 26266 SL.GDP.PCAP.EM.KD
#> 26267 SL.GDP.PCAP.EM.KD.ZG
#> 26268 SL.GDP.PCAP.EM.XD
#> 27004 SPI.D5.2.3.CNIN
#> 27006 SPI.D5.2.5.HOUS
#> 27011 SPI.D5.5.DIFI
#> 27046 TG.VAL.TOTL.GD.PP.ZS
#> 27047 TG.VAL.TOTL.GD.ZS
#> 27048 TG.VAL.TOTL.GG.ZS
#> 29255 UIS.X.PPPCONST.02.FSGOV
#> 29256 UIS.X.PPPCONST.1.FSGOV
#> 29257 UIS.X.PPPCONST.2.FSGOV
#> 29258 UIS.X.PPPCONST.2T3.FSGOV
#> 29259 UIS.X.PPPCONST.2T4.V.FSGOV
#> 29260 UIS.X.PPPCONST.3.FSGOV
#> 29261 UIS.X.PPPCONST.4.FSGOV
#> 29262 UIS.X.PPPCONST.5T8.FSGOV
#> 29263 UIS.X.PPPCONST.FSGOV
#> 29264 UIS.X.PPPCONST.UK.FSGOV
#> 29275 UIS.X.USCONST.02.FSGOV
#> 29276 UIS.X.USCONST.1.FSGOV
#> 29277 UIS.X.USCONST.2.FSGOV
#> 29278 UIS.X.USCONST.2T3.FSGOV
#> 29279 UIS.X.USCONST.2T4.V.FSGOV
#> 29280 UIS.X.USCONST.3.FSGOV
#> 29281 UIS.X.USCONST.4.FSGOV
#> 29282 UIS.X.USCONST.5T8.FSGOV
#> 29283 UIS.X.USCONST.FSGOV
#> 29284 UIS.X.USCONST.UK.FSGOV
#> 29285 UIS.XGDP.0.FSGOV
#> 29286 UIS.XGDP.1.FSGOV
#> 29287 UIS.XGDP.2.FSGOV
#> 29288 UIS.XGDP.23.FSGOV
#> 29289 UIS.XGDP.2T4.V.FSGOV
#> 29290 UIS.XGDP.3.FSGOV
#> 29291 UIS.XGDP.4.FSGOV
#> 29292 UIS.XGDP.56.FSGOV
#> 29342 UIS.XUNIT.GDPCAP.02.FSGOV
#> 29343 UIS.XUNIT.GDPCAP.1.FSGOV
#> 29344 UIS.XUNIT.GDPCAP.1.FSHH
#> 29345 UIS.XUNIT.GDPCAP.2.FSGOV
#> 29346 UIS.XUNIT.GDPCAP.23.FSGOV
#> 29347 UIS.XUNIT.GDPCAP.23.FSHH
#> 29348 UIS.XUNIT.GDPCAP.3.FSGOV
#> 29349 UIS.XUNIT.GDPCAP.5T8.FSGOV
#> 29350 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)
#> 12909 Real annual labor productivity growth (%)
#> 12923 Real annual sales growth (%)
#> 13092 Information and communication technology expenditure (% of GDP)
#> 13159 Nominal GSDP Per Capita (INR)
#> 13160 Nominal GSDP Per Capita (USD)
#> 13161 Real GSDP Per Capita (INR)
#> 13162 Real GSDP Per Capita (INR) Growth Rate
#> 13163 Real GSDP Per Capita (USD)
#> 13164 Real GSDP Per Capita (USD) Growth Rate
#> 13441 Railways, goods transported (ton-km per PPP $ million of GDP)
#> 13443 Railways, passenger-km (per PPP $ million of GDP)
#> 13551 Telecommunications revenue (% GDP)
#> 15559 Sustainable Economic Opportunity
#> 15583 Military expenditure (% of GDP)
#> 15588 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15589 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15590 GDP on Agriculture Sector (in IDR Million), Current Price
#> 15591 GDP on Agriculture Sector (in IDR Million), Constant Price
#> 15592 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Current Price
#> 15593 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Constant Price
#> 15594 GDP on Business Services Sector (in IDR Million), SNA 2008, Current Price
#> 15595 GDP on Business Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15596 GDP on Construction Sector (in IDR Million), Current Price
#> 15597 GDP on Construction Sector (in IDR Million), Constant Price
#> 15598 GDP on Construction Sector (in IDR Million), SNA 2008, Current Price
#> 15599 GDP on Construction Sector (in IDR Million), SNA 2008, Constant Price
#> 15600 GDP on Education Services Sector (in IDR Million), SNA 2008, Current Price
#> 15601 GDP on Education Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15602 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Current Price
#> 15603 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Constant Price
#> 15604 Total GDP excluding Oil and Gas (in IDR Million), Current Price
#> 15605 Total GDP excluding Oil and Gas (in IDR Million), Constant Price
#> 15606 GDP on Financial Service Sector (in IDR Million), Current Price
#> 15607 GDP on Financial Service Sector (in IDR Million), Constant Price
#> 15608 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15609 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15610 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15611 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15612 Total GDP including Oil and Gas (in IDR Million), Current Price
#> 15613 Total GDP including Oil and Gas (in IDR Million), Constant Price
#> 15614 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Current Price
#> 15615 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Constant Price
#> 15616 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Current Price
#> 15617 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Constant Price
#> 15618 GDP on Mining and Quarrying Sector (in IDR Million), Current Price
#> 15619 GDP on Mining and Quarrying Sector (in IDR Million), Constant Price
#> 15620 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Current Price
#> 15621 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Constant Price
#> 15622 GDP on Manufacturing Sector (in IDR Million), Current Price
#> 15623 GDP on Manufacturing Sector (in IDR Million), Constant Price
#> 15624 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Current Price
#> 15625 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Constant Price
#> 15626 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Current Price
#> 15627 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Constant Price
#> 15628 GDP on Real Estate Sector (in IDR Million), SNA 2008, Current Price
#> 15629 GDP on Real Estate Sector (in IDR Million), SNA 2008, Constant Price
#> 15630 GDP on Other Service Sector (in IDR Million), Current Price
#> 15631 GDP on Other Service Sector (in IDR Million), Constant Price
#> 15632 GDP on Other Services Sector (in IDR Million), SNA 2008, Current Price
#> 15633 GDP on Other Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15634 GDP on Transportation and Telecommunication Sector (in IDR Million), Current Price
#> 15635 GDP on Transportation and Telecommunication Sector (in IDR Million), Constant Price
#> 15636 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Current Price
#> 15637 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Constant Price
#> 15638 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Current Price
#> 15639 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Constant Price
#> 15640 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Current Price
#> 15641 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Constant Price
#> 15642 GDP on Utilities Sector (in IDR Million), Current Price
#> 15643 GDP on Utilities Sector (in IDR Million), Constant Price
#> 15644 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Current Price
#> 15645 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Constant Price
#> 15654 General government final consumption expenditure (% of GDP)
#> 15656 Households and NPISHs Final consumption expenditure per capita, PPP (current international $)
#> 15657 Households and NPISHs Final consumption expenditure per capita, PPP (constant 2021 international $)
#> 15667 Household final consumption expenditure, etc. (% of GDP)
#> 15682 Households and NPISHs Final consumption expenditure, PPP (current international $)
#> 15683 Households and NPISHs Final consumption expenditure, PPP (constant 2021 international $)
#> 15684 Households and NPISHs final consumption expenditure (% of GDP)
#> 15694 Final consumption expenditure, etc. (% of GDP)
#> 15702 Total consumption: contribution to growth of GDP (%)
#> 15703 Final consumption expenditure (% of GDP)
#> 15713 Gross national expenditure (% of GDP)
#> 15725 Exports of goods and services (% of GDP)
#> 15727 GDP expenditure on general government consumption (in IDR Million)
#> 15728 GDP expenditure on general government consumption (in IDR Million), SNA 2008, Current Price
#> 15729 GDP expenditure on non profit private institution consumption (in IDR Million)
#> 15730 GDP expenditure on non profit private institution consumption (in IDR Million), SNA 2008, Current Price
#> 15731 GDP expenditure on private consumption (in IDR Million)
#> 15732 GDP expenditure on private consumption (in IDR Million), SNA 2008, Current Price
#> 15733 GDP expenditure on exports (in IDR Million)
#> 15734 GDP expenditure on exports (in IDR Million), SNA 2008, Current Price
#> 15759 Gross fixed capital formation, private sector (% of GDP)
#> 15764 Gross public investment (% of GDP)
#> 15767 GDP expenditure on gross fixed capital formation (in IDR Million)
#> 15774 GDP expenditure on gross fixed capital formation (in IDR Million), SNA 2008, Current Price
#> 15775 Gross fixed capital formation (% of GDP)
#> 15776 GDP expenditure on imports (in IDR Million)
#> 15777 GDP expenditure on imports (in IDR Million), SNA 2008, Current Price
#> 15778 GDP expenditure on inter-region net exports (in IDR Million), SNA 2008, Current Price
#> 15783 GDP expenditure on changes in stock (in IDR Million)
#> 15787 GDP expenditure on changes in stock (in IDR Million), SNA 2008, Current Price
#> 15796 Total GDP based on expenditure (in IDR Million)
#> 15803 Total GDP based on expenditure (in IDR Million), SNA 2008, Current Price
#> 15804 Gross domestic investment: contr. to growth of GDP(%)
#> 15805 Gross capital formation (% of GDP)
#> 15815 Imports of goods and services (% of GDP)
#> 15816 Merchandise trade to GDP ratio (%)
#> 15822 Resource balance: contribution to growth of GDP (%)
#> 15823 External balance on goods and services (% of GDP)
#> 15826 Trade (% of GDP)
#> 15890 Agriculture: contribution to growth of GDP (%)
#> 15894 Industry: contribution to growth of GDP (%)
#> 15900 Services: contribution to growth of GDP (%)
#> 15908 Real agricultural GDP per capita growth rate (%)
#> 15918 Real agricultural GDP growth rates (%)
#> 15919 Agriculture, forestry, and fishing, value added (% of GDP)
#> 15939 Manufacturing, value added (% of GDP)
#> 15953 Industry: contribution to growth of GDP (%)
#> 15954 Industry (including construction), value added (% of GDP)
#> 15972 Discrepancy in GDP, value added (current US$)
#> 15973 Discrepancy in GDP, value added (current LCU)
#> 15974 Discrepancy in GDP, value added (constant LCU)
#> 15991 Services: contribution to growth of GDP (%)
#> 15992 Services, etc., value added (% of GDP)
#> 15998 Services, value added (% of GDP)
#> 16009 Human capital per capita, female (real chained 2019 US$)
#> 16011 Human capital, female (real chained 2019 US$)
#> 16013 Human capital per capita, male (real chained 2019 US$)
#> 16015 Human capital, male (real chained 2019 US$)
#> 16017 Human capital per capita (real chained 2019 US$)
#> 16019 Human capital (real chained 2019 US$)
#> 16021 Renewable natural capital per capita, agricultural land (real chained 2019 US$)
#> 16023 Renewable natural capital, agricultural land (real chained 2019 US$)
#> 16027 Renewable natural capital per capita, fisheries (real chained 2019 US$)
#> 16029 Renewable natural capital, fisheries (real chained 2019 US$)
#> 16043 Renewable natural capital per capita, timber (real chained 2019 US$)
#> 16045 Renewable natural capital, timber (real chained 2019 US$)
#> 16051 Renewable natural capital per capita, mangroves (real chained 2019 US$)
#> 16053 Renewable natural capital, mangroves (real chained 2019 US$)
#> 16071 Nonrenewable natural capital per capita, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16073 Nonrenewable natural capital, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16113 Nonrenewable natural capital per capita, coal (real chained 2019 US$)
#> 16115 Nonrenewable natural capital, coal (real chained 2019 US$)
#> 16117 Nonrenewable natural capital per capita, natural gas (real chained 2019 US$)
#> 16119 Nonrenewable natural capital, natural gas (real chained 2019 US$)
#> 16121 Nonrenewable natural capital per capita, oil (real chained 2019 US$)
#> 16123 Nonrenewable natural capital, oil (real chained 2019 US$)
#> 16125 Nonrenewable natural capital per capita, total (real chained 2019 US$)
#> 16127 Nonrenewable natural capital, total (real chained 2019 US$)
#> 16133 Foreign assets per capita (real chained 2019 US$)
#> 16135 Foreign assets (real chained 2019 US$)
#> 16141 Produced capital per capita (real chained 2019 US$)
#> 16144 Produced capital (real chained 2019 US$)
#> 16147 National comprehensive wealth per capita index (real chained 2019 US$)
#> 16149 National comprehensive wealth index (real chained 2019 US$)
#> 16181 Agricultural support estimate (% of GDP)
#> 16185 Coal rents (% of GDP)
#> 16186 Inflation, GDP deflator (annual %)
#> 16187 Inflation, GDP deflator (annual %)
#> 16188 Inflation, GDP deflator: linked series (annual %)
#> 16189 GDP deflator (base year varies by country)
#> 16190 GDP deflator (1987 = 100)
#> 16191 GDP deflator: linked series (base year varies by country)
#> 16192 Discrepancy in expenditure estimate of GDP (current US$)
#> 16193 Discrepancy in expenditure estimate of GDP (current LCU)
#> 16194 Discrepancy in expenditure estimate of GDP (constant LCU)
#> 16195 Gross value added at basic prices (GVA) (current US$)
#> 16196 Gross value added at basic prices (GVA) (current LCU)
#> 16197 Gross value added at basic prices (GVA) (constant 2015 US$)
#> 16198 GDP at factor cost (constant 1987 US$)
#> 16199 Gross value added at basic prices (GVA) (constant LCU)
#> 16200 GDP at factor cost (constant 1987 LCU)
#> 16201 Forest rents (% of GDP)
#> 16202 Mineral rents (% of GDP)
#> 16203 GDP (current US$)
#> 16204 GDP deflator, index (2000=100; US$ series)
#> 16205 GDP (current LCU)
#> 16206 GDP: linked series (current LCU)
#> 16207 GDP deflator, period average (LCU index 2000=100)
#> 16208 GDP Deflator
#> 16209 GDP (constant 2015 US$)
#> 16210 GDP at market prices (constant 1987 US$)
#> 16211 GDP growth (annual %)
#> 16212 GDP (constant LCU)
#> 16213 GDP at market prices (constant 1987 LCU)
#> 16214 GDP growth (annual %)
#> 16215 GDP, PPP (current international $)
#> 16216 GDP, PPP (constant 2021 international $)
#> 16217 GDP, PPP (constant 1987 international $)
#> 16218 GDP deflator (1987=100,Index)
#> 16219 GDP deflator, end period (base year varies by country)
#> 16220 Gross domestic product (Av. annual growth, %)
#> 16221 Natural gas rents (% of GDP)
#> 16222 GDP per capita (current US$)
#> 16223 GDP per capita (current LCU)
#> 16224 GDP per capita (constant 2015 US$)
#> 16225 GDP per capita growth (annual %)
#> 16226 GDP per capita (constant LCU)
#> 16227 GDP per capita, PPP (current international $)
#> 16228 GDP per capita, PPP (constant 2021 international $)
#> 16229 GDP per capita, PPP (constant 1987 international $)
#> 16230 GDP per capita, PPP annual growth (%)
#> 16231 Oil rents (% of GDP)
#> 16232 Total natural resources rents (% of GDP)
#> 16239 Gross domestic savings (current US$)
#> 16240 Gross domestic savings (current LCU)
#> 16241 Gross domestic savings, total (constant 2000 US$)
#> 16243 Gross domestic savings (constant LCU)
#> 16245 Gross domestic savings (% of GDP)
#> 16246 Gross domestic income (constant 2005 US$)
#> 16248 Gross domestic income (constant LCU)
#> 16250 Genuine savings: education expenditure (% of GDP)
#> 16251 Genuine savings: carbon dioxide damage (% of GDP)
#> 16252 Genuine savings: net forest depletion (% of GDP)
#> 16253 Genuine savings: consumption of fixed capital (% of GDP)
#> 16254 Genuine savings: mineral depletion (% of GDP)
#> 16255 Genuine savings: energy depletion (% of GDP)
#> 16256 Genuine savings: net domestic savings (% of GDP)
#> 16257 Genuine domestic savings (% of GDP)
#> 16269 GNI, PPP (current international $)
#> 16270 GNI, PPP (constant 2021 international $)
#> 16280 GNI per capita, PPP (current international $)
#> 16281 GNI per capita, PPP (constant 2021 international $)
#> 16290 Gross savings (% of GDP)
#> 16328 GDP growth, constant (average 2010-19 prices and exchange rates)
#> 16329 GDP,current US$,millions,seas. adj.,
#> 16330 GDP,current LCU,millions,seas. adj.,
#> 16331 GDP,constant 2010 US$,millions,seas. adj.,
#> 16332 GDP,constant 2010 LCU,millions,seas. adj.,
#> 16408 Price level index (GDP)
#> 16409 PPP conversion factor, GDP (LCU per international $)
#> 16410 2005 PPP conversion factor, GDP (LCU per international $)
#> 16411 Price level ratio of PPP conversion factor (GDP) to market exchange rate
#> 16413 PPP conversion factor, households and NPISHs Final consumption expenditure (LCU per international $)
#> 16472 World Bank: Share of GDP for central government expenditures on education (%)
#> 16480 World Bank: Public capital expenditure on education as % of GDP
#> 16505 World Bank: Public education expenditure per student (% of GDP per capita)
#> 16527 World Bank: Public recurrent expenditure on education (% of GDP)
#> 16536 World Bank: Education salary expenditures as a % of GDP
#> 16545 World Bank: Share of GDP for subnational government expenditures on education (%)
#> 16550 World Bank: Ratio of Teacher Salaries to per capita GDP
#> 16552 World Bank: Total education expenditure as % of GDP
#> 16553 World Bank: Total public education expenditure as % of GDP
#> 16566 World Bank: Share of GDP for education expenditures on basic education (%)
#> 16582 World Bank: Public education expenditure per student (% of GDP per capita), basic
#> 16601 World Bank: Ratio of Teacher Salaries to per capita GDP, basic education
#> 16612 World Bank: Share of GDP lost through inefficiencies (%)
#> 16613 World Bank: Share of GDP potentially saved with improved targeting of education subsidies (%)
#> 16615 World Bank: Share of GDP potentially saved with improved pupil/teacher ratios (%)
#> 16649 World Bank: Public education expenditure per student (% of GDP per capita), junior secondary
#> 16666 World Bank: Ratio of Teacher Salaries to per capita GDP, junior secondary
#> 16682 World Bank: School Feeding Programs (% of GDP)
#> 16763 World Bank: Central Government Transfers for education (% of GDP)
#> 16787 World Bank: Share of GDP for education expenditures on pre-primary education (%)
#> 16792 World Bank: Public education expenditure per student (% of GDP per capita), pre-primary
#> 16842 World Bank: Share of GDP for education expenditures on primary education (%)
#> 16859 World Bank: Public education expenditure per student (% of GDP per capita), primary
#> 16881 World Bank: Primary recurrent expenditures as a share of GDP (%)
#> 16885 World Bank: Ratio of Teacher Salaries to per capita GDP, primary
#> 16937 World Bank: Share of GDP for education expenditures on secondary education (%)
#> 16953 World Bank: Public education expenditure per student (% of GDP per capita), secondary
#> 16976 World Bank: Secondary recurrent expenditures as a share of GDP (%)
#> 16980 World Bank: Ratio of Teacher Salaries to per capita GDP, secondary
#> 17048 World Bank: Total education expenditure from public sources (% of GDP)
#> 17108 World Bank: Total education expenditures from international sources as a % of GDP
#> 17129 World Bank: Total private expenditure on education (% of GDP)
#> 17130 World Bank: Total private expenditure on pre-primary education (% of GDP)
#> 17131 World Bank: Total private expenditure on primary education (% of GDP)
#> 17132 World Bank: Total private expenditure on secondary education (% of GDP)
#> 17133 World Bank: Total private expenditure on tertiary education (% of GDP)
#> 17188 World Bank: Public education expenditure per student (% of GDP per capita), senior secondary
#> 17205 World Bank: Ratio of Teacher Salaries to per capita GDP, senior secondary
#> 17237 World Bank: Share of GDP for education expenditures on tertiary education (%)
#> 17245 World Bank: Public education expenditure per student (% of GDP per capita), tertiary
#> 17265 World Bank: Tertiary recurrent expenditures as a share of GDP (%)
#> 17269 World Bank: Ratio of Teacher Salaries to per capita GDP, tertiary
#> 17292 World Bank: Public education expenditure per student (% of GDP per capita), teacher training
#> 17307 World Bank: Share of GDP for education expenditures on technical/vocational education (%)
#> 17312 World Bank: Public education expenditure per student (% of GDP per capita), technical/vocational education
#> 21508 Total General Allocation Grant/DAU (in IDR)
#> 24331 (Financing) - Does the country spend 4-5% of GDP or 15-20% of public expenditures on education spending?
#> 24704 (De Facto) Average principal salary as percent of GDP per capita
#> 24768 (De Jure) Average starting public-school teacher salary as percent of GDP per capita
#> 24995 Public Expenditure on Education (% GDP)
#> 25000 Public spending on education, primary (% of GDP)
#> 25001 Government expenditure per student, primary (% of GDP per capita)
#> 25004 Public spending on education, secondary (% of GDP)
#> 25005 Government expenditure per student, secondary (% of GDP per capita)
#> 25009 Public spending on education, tertiary (% of GDP)
#> 25010 Government expenditure per student, tertiary (% of GDP per capita)
#> 25013 Government expenditure on education, total (% of GDP)
#> 25033 Rail traffic (km per million US$ GDP)
#> 25913 Maternal mortality ratio (modeled estimate, per 100,000 live births)
#> 26057 Current health expenditure (% of GDP)
#> 26066 Domestic general government health expenditure (% of GDP)
#> 26070 Public Expenditure on Health (% GDP)
#> 26071 Capital health expenditure (% of GDP)
#> 26083 Health expenditure, private (% of GDP)
#> 26086 Health expenditure, public (% of GDP)
#> 26092 Health expenditure, total (% of GDP)
#> 26266 GDP per person employed (constant 2021 PPP $)
#> 26267 GDP per person employed (annual % growth)
#> 26268 GDP per person employed, index (1980 = 100)
#> 27004 Classification of national industry
#> 27006 Classification of household consumption
#> 27011 Finance Indicator based on PARIS21 indicators on SDG 17.18.3 & SDG 17.19.1
#> 27046 Trade (% of GDP, PPP)
#> 27047 Merchandise trade (% of GDP)
#> 27048 Trade in goods (% of goods GDP)
#> 29255 Government expenditure on pre-primary education, constant PPP$ (millions)
#> 29256 Government expenditure on primary education, constant PPP$ (millions)
#> 29257 Government expenditure on lower secondary education, constant PPP$ (millions)
#> 29258 Government expenditure on secondary education, constant PPP$ (millions)
#> 29259 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant PPP$ (millions)
#> 29260 Government expenditure on upper secondary education, constant PPP$ (millions)
#> 29261 Government expenditure on post-secondary non-tertiary education, constant PPP$ (millions)
#> 29262 Government expenditure on tertiary education, constant PPP$ (millions)
#> 29263 Government expenditure on education, constant PPP$ (millions)
#> 29264 Government expenditure on education not specified by level, constant PPP$ (millions)
#> 29275 Government expenditure on pre-primary education, constant US$ (millions)
#> 29276 Government expenditure on primary education, constant US$ (millions)
#> 29277 Government expenditure on lower secondary education, constant US$ (millions)
#> 29278 Government expenditure on secondary education, constant US$ (millions)
#> 29279 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant US$ (millions)
#> 29280 Government expenditure on upper secondary education, constant US$ (millions)
#> 29281 Government expenditure on post-secondary non-tertiary education, constant US$ (millions)
#> 29282 Government expenditure on tertiary education, constant US$ (millions)
#> 29283 Government expenditure on education, constant US$ (millions)
#> 29284 Government expenditure on education not specified by level, constant US$ (millions)
#> 29285 Government expenditure on pre-primary education as % of GDP (%)
#> 29286 Government expenditure on primary education as % of GDP (%)
#> 29287 Government expenditure on lower secondary education as a percentage of GDP (%)
#> 29288 Government expenditure on secondary education as % of GDP (%)
#> 29289 Government expenditure on secondary and post-secondary non-tertiary vocational education as % of GDP (%)
#> 29290 Government expenditure on upper secondary education as a percentage of GDP (%)
#> 29291 Government expenditure on post-secondary non-tertiary education as % of GDP (%)
#> 29292 Government expenditure on tertiary education as % of GDP (%)
#> 29342 Initial government funding per pre-primary student as a percentage of GDP per capita
#> 29343 Initial government funding per primary student as a percentage of GDP per capita
#> 29344 Initial household funding per primary student as a percentage of GDP per capita
#> 29345 Initial government funding per lower secondary student as a percentage of GDP per capita
#> 29346 Initial government funding per secondary student as a percentage of GDP per capita
#> 29347 Initial household funding per secondary student as a percentage of GDP per capita
#> 29348 Initial government funding per upper secondary student as a percentage of GDP per capita
#> 29349 Initial government funding per tertiary student as a percentage of GDP per capita
#> 29350 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
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#> 4793 <NA> 20 Quarterly Public Sector Debt
#> 4796 <NA> 20 Quarterly Public Sector Debt
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#> 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
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#> 11201 <NA> 57 WDI Database Archives
#> 11204 <NA> 57 WDI Database Archives
#> 11206 <NA> 11 Africa Development Indicators
#> 11209 <NA> 57 WDI Database Archives
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#> 11245 <NA> 57 WDI Database Archives
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#> 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
#> 12909 <NA> 13 Enterprise Surveys
#> 12923 <NA> 13 Enterprise Surveys
#> 13092 <NA> 11 Africa Development Indicators
#> 13159 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13160 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13161 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13162 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13163 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13164 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 13441 <NA> 57 WDI Database Archives
#> 13443 <NA> 57 WDI Database Archives
#> 13551 <NA> 11 Africa Development Indicators
#> 15559 <NA> 11 Africa Development Indicators
#> 15583 <NA> 2 World Development Indicators
#> 15588 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15589 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15590 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15591 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15592 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15593 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15594 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15595 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15596 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15597 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15598 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15599 <NA> 45 Indonesia Database for Policy and Economic Research
#> 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
#> 15654 <NA> 2 World Development Indicators
#> 15656 <NA> 2 World Development Indicators
#> 15657 <NA> 2 World Development Indicators
#> 15667 <NA> 57 WDI Database Archives
#> 15682 <NA> 2 World Development Indicators
#> 15683 <NA> 2 World Development Indicators
#> 15684 <NA> 2 World Development Indicators
#> 15694 <NA> 57 WDI Database Archives
#> 15702 <NA> 57 WDI Database Archives
#> 15703 <NA> 2 World Development Indicators
#> 15713 <NA> 2 World Development Indicators
#> 15725 <NA> 2 World Development Indicators
#> 15727 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15728 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15729 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15730 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15731 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15732 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15733 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15734 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15759 <NA> 2 World Development Indicators
#> 15764 <NA> 11 Africa Development Indicators
#> 15767 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15774 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15775 <NA> 2 World Development Indicators
#> 15776 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15777 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15778 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15783 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15787 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15796 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15803 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15804 <NA> 57 WDI Database Archives
#> 15805 <NA> 2 World Development Indicators
#> 15815 <NA> 2 World Development Indicators
#> 15816 <NA> 11 Africa Development Indicators
#> 15822 <NA> 57 WDI Database Archives
#> 15823 <NA> 2 World Development Indicators
#> 15826 <NA> 2 World Development Indicators
#> 15890 <NA> 57 WDI Database Archives
#> 15894 <NA> 57 WDI Database Archives
#> 15900 <NA> 57 WDI Database Archives
#> 15908 <NA> 11 Africa Development Indicators
#> 15918 <NA> 11 Africa Development Indicators
#> 15919 <NA> 2 World Development Indicators
#> 15939 <NA> 2 World Development Indicators
#> 15953 <NA> 57 WDI Database Archives
#> 15954 <NA> 2 World Development Indicators
#> 15972 <NA> 11 Africa Development Indicators
#> 15973 <NA> 11 Africa Development Indicators
#> 15974 <NA> 11 Africa Development Indicators
#> 15991 <NA> 57 WDI Database Archives
#> 15992 <NA> 57 WDI Database Archives
#> 15998 <NA> 2 World Development Indicators
#> 16009 <NA> 59 Wealth Accounts
#> 16011 <NA> 59 Wealth Accounts
#> 16013 <NA> 59 Wealth Accounts
#> 16015 <NA> 59 Wealth Accounts
#> 16017 <NA> 59 Wealth Accounts
#> 16019 <NA> 59 Wealth Accounts
#> 16021 <NA> 59 Wealth Accounts
#> 16023 <NA> 59 Wealth Accounts
#> 16027 <NA> 59 Wealth Accounts
#> 16029 <NA> 59 Wealth Accounts
#> 16043 <NA> 59 Wealth Accounts
#> 16045 <NA> 59 Wealth Accounts
#> 16051 <NA> 59 Wealth Accounts
#> 16053 <NA> 59 Wealth Accounts
#> 16071 <NA> 59 Wealth Accounts
#> 16073 <NA> 59 Wealth Accounts
#> 16113 <NA> 59 Wealth Accounts
#> 16115 <NA> 59 Wealth Accounts
#> 16117 <NA> 59 Wealth Accounts
#> 16119 <NA> 59 Wealth Accounts
#> 16121 <NA> 59 Wealth Accounts
#> 16123 <NA> 59 Wealth Accounts
#> 16125 <NA> 59 Wealth Accounts
#> 16127 <NA> 59 Wealth Accounts
#> 16133 <NA> 59 Wealth Accounts
#> 16135 <NA> 59 Wealth Accounts
#> 16141 <NA> 59 Wealth Accounts
#> 16144 <NA> 59 Wealth Accounts
#> 16147 <NA> 59 Wealth Accounts
#> 16149 <NA> 59 Wealth Accounts
#> 16181 <NA> 19 Millennium Development Goals
#> 16185 <NA> 2 World Development Indicators
#> 16186 <NA> 57 WDI Database Archives
#> 16187 <NA> 2 World Development Indicators
#> 16188 <NA> 2 World Development Indicators
#> 16189 <NA> 2 World Development Indicators
#> 16190 <NA> 57 WDI Database Archives
#> 16191 <NA> 2 World Development Indicators
#> 16192 <NA> 11 Africa Development Indicators
#> 16193 <NA> 2 World Development Indicators
#> 16194 <NA> 2 World Development Indicators
#> 16195 <NA> 2 World Development Indicators
#> 16196 <NA> 2 World Development Indicators
#> 16197 <NA> 2 World Development Indicators
#> 16198 <NA> 57 WDI Database Archives
#> 16199 <NA> 2 World Development Indicators
#> 16200 <NA> 57 WDI Database Archives
#> 16201 <NA> 2 World Development Indicators
#> 16202 <NA> 2 World Development Indicators
#> 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> 11 Africa Development Indicators
#> 16208 <NA> 57 WDI Database Archives
#> 16209 <NA> 2 World Development Indicators
#> 16210 <NA> 57 WDI Database Archives
#> 16211 <NA> 2 World Development Indicators
#> 16212 <NA> 2 World Development Indicators
#> 16213 <NA> 57 WDI Database Archives
#> 16214 <NA> 57 WDI Database Archives
#> 16215 <NA> 2 World Development Indicators
#> 16216 <NA> 2 World Development Indicators
#> 16217 <NA> 57 WDI Database Archives
#> 16218 <NA> 57 WDI Database Archives
#> 16219 <NA> 11 Africa Development Indicators
#> 16220 <NA> 57 WDI Database Archives
#> 16221 <NA> 2 World Development Indicators
#> 16222 <NA> 2 World Development Indicators
#> 16223 <NA> 2 World Development Indicators
#> 16224 <NA> 2 World Development Indicators
#> 16225 <NA> 2 World Development Indicators
#> 16226 <NA> 2 World Development Indicators
#> 16227 <NA> 2 World Development Indicators
#> 16228 <NA> 2 World Development Indicators
#> 16229 <NA> 57 WDI Database Archives
#> 16230 <NA> 11 Africa Development Indicators
#> 16231 <NA> 2 World Development Indicators
#> 16232 <NA> 2 World Development Indicators
#> 16239 <NA> 2 World Development Indicators
#> 16240 <NA> 2 World Development Indicators
#> 16241 <NA> 11 Africa Development Indicators
#> 16243 <NA> 57 WDI Database Archives
#> 16245 <NA> 2 World Development Indicators
#> 16246 <NA> 57 WDI Database Archives
#> 16248 <NA> 2 World Development Indicators
#> 16250 <NA> 57 WDI Database Archives
#> 16251 <NA> 57 WDI Database Archives
#> 16252 <NA> 57 WDI Database Archives
#> 16253 <NA> 57 WDI Database Archives
#> 16254 <NA> 57 WDI Database Archives
#> 16255 <NA> 57 WDI Database Archives
#> 16256 <NA> 57 WDI Database Archives
#> 16257 <NA> 57 WDI Database Archives
#> 16269 <NA> 2 World Development Indicators
#> 16270 <NA> 2 World Development Indicators
#> 16280 <NA> 2 World Development Indicators
#> 16281 <NA> 2 World Development Indicators
#> 16290 <NA> 2 World Development Indicators
#> 16328 <NA> 27 Global Economic Prospects
#> 16329 <NA> 15 Global Economic Monitor
#> 16330 <NA> 15 Global Economic Monitor
#> 16331 <NA> 15 Global Economic Monitor
#> 16332 <NA> 15 Global Economic Monitor
#> 16408 <NA> 2 World Development Indicators
#> 16409 <NA> 2 World Development Indicators
#> 16410 <NA> 57 WDI Database Archives
#> 16411 <NA> 57 WDI Database Archives
#> 16413 <NA> 2 World Development Indicators
#> 16472 <NA> 12 Education Statistics
#> 16480 <NA> 12 Education Statistics
#> 16505 <NA> 12 Education Statistics
#> 16527 <NA> 12 Education Statistics
#> 16536 <NA> 12 Education Statistics
#> 16545 <NA> 12 Education Statistics
#> 16550 <NA> 12 Education Statistics
#> 16552 <NA> 12 Education Statistics
#> 16553 <NA> 12 Education Statistics
#> 16566 <NA> 12 Education Statistics
#> 16582 <NA> 12 Education Statistics
#> 16601 <NA> 12 Education Statistics
#> 16612 <NA> 12 Education Statistics
#> 16613 <NA> 12 Education Statistics
#> 16615 <NA> 12 Education Statistics
#> 16649 <NA> 12 Education Statistics
#> 16666 <NA> 12 Education Statistics
#> 16682 <NA> 12 Education Statistics
#> 16763 <NA> 12 Education Statistics
#> 16787 <NA> 12 Education Statistics
#> 16792 <NA> 12 Education Statistics
#> 16842 <NA> 12 Education Statistics
#> 16859 <NA> 12 Education Statistics
#> 16881 <NA> 12 Education Statistics
#> 16885 <NA> 12 Education Statistics
#> 16937 <NA> 12 Education Statistics
#> 16953 <NA> 12 Education Statistics
#> 16976 <NA> 12 Education Statistics
#> 16980 <NA> 12 Education Statistics
#> 17048 <NA> 12 Education Statistics
#> 17108 <NA> 12 Education Statistics
#> 17129 <NA> 12 Education Statistics
#> 17130 <NA> 12 Education Statistics
#> 17131 <NA> 12 Education Statistics
#> 17132 <NA> 12 Education Statistics
#> 17133 <NA> 12 Education Statistics
#> 17188 <NA> 12 Education Statistics
#> 17205 <NA> 12 Education Statistics
#> 17237 <NA> 12 Education Statistics
#> 17245 <NA> 12 Education Statistics
#> 17265 <NA> 12 Education Statistics
#> 17269 <NA> 12 Education Statistics
#> 17292 <NA> 12 Education Statistics
#> 17307 <NA> 12 Education Statistics
#> 17312 <NA> 12 Education Statistics
#> 21508 <NA> 45 Indonesia Database for Policy and Economic Research
#> 24331 <NA> 84 Education Policy
#> 24704 <NA> 12 Education Statistics
#> 24768 <NA> 12 Education Statistics
#> 24995 <NA> 57 WDI Database Archives
#> 25000 <NA> 57 WDI Database Archives
#> 25001 <NA> 2 World Development Indicators
#> 25004 <NA> 57 WDI Database Archives
#> 25005 <NA> 2 World Development Indicators
#> 25009 <NA> 57 WDI Database Archives
#> 25010 <NA> 2 World Development Indicators
#> 25013 <NA> 2 World Development Indicators
#> 25033 <NA> 57 WDI Database Archives
#> 25913 <NA> 2 World Development Indicators
#> 26057 <NA> 2 World Development Indicators
#> 26066 <NA> 2 World Development Indicators
#> 26070 <NA> 57 WDI Database Archives
#> 26071 <NA> 16 Health Nutrition and Population Statistics
#> 26083 <NA> 57 WDI Database Archives
#> 26086 <NA> 57 WDI Database Archives
#> 26092 <NA> 57 WDI Database Archives
#> 26266 <NA> 2 World Development Indicators
#> 26267 <NA> 11 Africa Development Indicators
#> 26268 <NA> 57 WDI Database Archives
#> 27004 <NA> 83 Statistical Performance Indicators (SPI)
#> 27006 <NA> 83 Statistical Performance Indicators (SPI)
#> 27011 <NA> 83 Statistical Performance Indicators (SPI)
#> 27046 <NA> 57 WDI Database Archives
#> 27047 <NA> 2 World Development Indicators
#> 27048 <NA> 57 WDI Database Archives
#> 29255 <NA> 12 Education Statistics
#> 29256 <NA> 12 Education Statistics
#> 29257 <NA> 12 Education Statistics
#> 29258 <NA> 12 Education Statistics
#> 29259 <NA> 12 Education Statistics
#> 29260 <NA> 12 Education Statistics
#> 29261 <NA> 12 Education Statistics
#> 29262 <NA> 12 Education Statistics
#> 29263 <NA> 12 Education Statistics
#> 29264 <NA> 12 Education Statistics
#> 29275 <NA> 12 Education Statistics
#> 29276 <NA> 12 Education Statistics
#> 29277 <NA> 12 Education Statistics
#> 29278 <NA> 12 Education Statistics
#> 29279 <NA> 12 Education Statistics
#> 29280 <NA> 12 Education Statistics
#> 29281 <NA> 12 Education Statistics
#> 29282 <NA> 12 Education Statistics
#> 29283 <NA> 12 Education Statistics
#> 29284 <NA> 12 Education Statistics
#> 29285 <NA> 12 Education Statistics
#> 29286 <NA> 12 Education Statistics
#> 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
#> 29342 <NA> 12 Education Statistics
#> 29343 <NA> 12 Education Statistics
#> 29344 <NA> 12 Education Statistics
#> 29345 <NA> 12 Education Statistics
#> 29346 <NA> 12 Education Statistics
#> 29347 <NA> 12 Education Statistics
#> 29348 <NA> 12 Education Statistics
#> 29349 <NA> 12 Education Statistics
#> 29350 <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 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 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\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.
#> 12909 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.
#> 12923 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.
#> 13092 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.
#> 13159 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.
#> 13160 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.
#> 13161 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.
#> 13162 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.
#> 13163 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.
#> 13164 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.
#> 13441 <NA>
#> 13443 <NA>
#> 13551 Telecommunications revenue is the revenue from the provision of telecommunications services such as fixed-line, mobile, and data.
#> 15559 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.
#> 15583 Military expenditure by country as percentage of gross domestic product
#> 15588 <NA>
#> 15589 <NA>
#> 15590 <NA>
#> 15591 <NA>
#> 15592 <NA>
#> 15593 <NA>
#> 15594 <NA>
#> 15595 <NA>
#> 15596 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.
#> 15597 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.
#> 15598 <NA>
#> 15599 <NA>
#> 15600 <NA>
#> 15601 <NA>
#> 15602 <NA>
#> 15603 <NA>
#> 15604 <NA>
#> 15605 <NA>
#> 15606 <NA>
#> 15607 <NA>
#> 15608 <NA>
#> 15609 <NA>
#> 15610 <NA>
#> 15611 <NA>
#> 15612 <NA>
#> 15613 <NA>
#> 15614 <NA>
#> 15615 <NA>
#> 15616 <NA>
#> 15617 <NA>
#> 15618 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).
#> 15619 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).
#> 15620 <NA>
#> 15621 <NA>
#> 15622 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.
#> 15623 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.
#> 15624 <NA>
#> 15625 <NA>
#> 15626 <NA>
#> 15627 <NA>
#> 15628 <NA>
#> 15629 <NA>
#> 15630 <NA>
#> 15631 <NA>
#> 15632 <NA>
#> 15633 <NA>
#> 15634 <NA>
#> 15635 <NA>
#> 15636 <NA>
#> 15637 <NA>
#> 15638 <NA>
#> 15639 <NA>
#> 15640 <NA>
#> 15641 <NA>
#> 15642 <NA>
#> 15643 <NA>
#> 15644 <NA>
#> 15645 <NA>
#> 15654 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.
#> 15656 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.
#> 15657 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.
#> 15667 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.
#> 15682 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.
#> 15683 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.
#> 15684 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.
#> 15694 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.
#> 15702 <NA>
#> 15703 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.
#> 15713 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.
#> 15725 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.
#> 15727 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.
#> 15728 <NA>
#> 15729 <NA>
#> 15730 <NA>
#> 15731 <NA>
#> 15732 <NA>
#> 15733 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.
#> 15734 <NA>
#> 15759 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.
#> 15764 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.
#> 15767 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.
#> 15774 <NA>
#> 15775 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 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.
#> 15777 <NA>
#> 15778 <NA>
#> 15783 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.
#> 15787 <NA>
#> 15796 <NA>
#> 15803 <NA>
#> 15804 <NA>
#> 15805 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.
#> 15815 Imports of goods includes change in the economic ownership of goods from non-residents to\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.
#> 15816 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.
#> 15822 <NA>
#> 15823 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.
#> 15826 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.
#> 15890 <NA>
#> 15894 <NA>
#> 15900 <NA>
#> 15908 The growth rate of real per capita GDP in agriculture, expressed at an annual rate.
#> 15918 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.
#> 15919 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.
#> 15939 Manufacturing includes industries classified in ISIC (Rev. 3) major division C and is defined as the physical or chemical tranformation 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.
#> 15953 <NA>
#> 15954 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.
#> 15972 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.
#> 15973 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.
#> 15974 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.
#> 15991 <NA>
#> 15992 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.
#> 15998 Services industries correspond to ISIC (Rev. 4) divisions 45-99 and includes wholesale and retail trade, repair of motor vehicles, hotels and retaurants, 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.
#> 16009 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.
#> 16011 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.
#> 16013 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.
#> 16015 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.
#> 16017 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.
#> 16019 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.
#> 16021 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.
#> 16023 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.
#> 16027 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.
#> 16029 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.
#> 16043 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.
#> 16045 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.
#> 16051 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.
#> 16053 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.
#> 16071 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.
#> 16073 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.
#> 16113 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.
#> 16115 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.
#> 16117 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.
#> 16119 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.
#> 16121 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.
#> 16123 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.
#> 16133 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.
#> 16135 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.
#> 16141 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.
#> 16144 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.
#> 16147 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.
#> 16149 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.
#> 16181 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.
#> 16185 Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production.
#> 16186 <NA>
#> 16187 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.
#> 16188 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.
#> 16189 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).
#> 16190 <NA>
#> 16191 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).
#> 16192 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.
#> 16193 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.
#> 16194 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.
#> 16195 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.
#> 16196 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.
#> 16197 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.
#> 16198 <NA>
#> 16199 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.
#> 16200 <NA>
#> 16201 Forest rents are roundwood harvest times the product of regional prices and a regional rental rate.
#> 16202 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.
#> 16203 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.
#> 16204 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.
#> 16205 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.
#> 16206 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.
#> 16207 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.
#> 16208 <NA>
#> 16209 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.
#> 16210 <NA>
#> 16211 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.
#> 16212 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.
#> 16213 <NA>
#> 16214 <NA>
#> 16215 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.
#> 16216 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.
#> 16217 <NA>
#> 16218 <NA>
#> 16219 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.
#> 16220 <NA>
#> 16221 Natural gas rents are the difference between the value of natural gas production at regional prices and total costs of production.
#> 16222 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.
#> 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. 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.
#> 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. 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.
#> 16225 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.
#> 16226 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.
#> 16227 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.
#> 16228 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.
#> 16229 <NA>
#> 16230 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.
#> 16231 Oil rents are the difference between the value of crude oil production at regional prices and total costs of production.
#> 16232 Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.
#> 16239 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.
#> 16240 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.
#> 16241 Gross domestic savings are calculated as the difference between GDP and total consumption. Data are in constant 2000 U.S. dollars.
#> 16243 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in constant local currency.
#> 16245 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.
#> 16246 Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant 2010 U.S. dollars.
#> 16248 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.
#> 16250 <NA>
#> 16251 <NA>
#> 16252 <NA>
#> 16253 <NA>
#> 16254 <NA>
#> 16255 <NA>
#> 16256 <NA>
#> 16257 <NA>
#> 16269 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.
#> 16270 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.
#> 16280 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.
#> 16281 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.
#> 16290 Savings is an amount that represent the part of disposable income (adjusted for the\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.
#> 16328 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.
#> 16329 <NA>
#> 16330 <NA>
#> 16331 <NA>
#> 16332 <NA>
#> 16408 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.
#> 16409 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.
#> 16410 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.
#> 16411 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.
#> 16413 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.
#> 16472 <NA>
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#> 16527 <NA>
#> 16536 <NA>
#> 16545 <NA>
#> 16550 <NA>
#> 16552 <NA>
#> 16553 <NA>
#> 16566 <NA>
#> 16582 <NA>
#> 16601 <NA>
#> 16612 <NA>
#> 16613 <NA>
#> 16615 <NA>
#> 16649 <NA>
#> 16666 <NA>
#> 16682 <NA>
#> 16763 <NA>
#> 16787 <NA>
#> 16792 <NA>
#> 16842 <NA>
#> 16859 <NA>
#> 16881 <NA>
#> 16885 <NA>
#> 16937 <NA>
#> 16953 <NA>
#> 16976 <NA>
#> 16980 <NA>
#> 17048 <NA>
#> 17108 <NA>
#> 17129 <NA>
#> 17130 <NA>
#> 17131 <NA>
#> 17132 <NA>
#> 17133 <NA>
#> 17188 <NA>
#> 17205 <NA>
#> 17237 <NA>
#> 17245 <NA>
#> 17265 <NA>
#> 17269 <NA>
#> 17292 <NA>
#> 17307 <NA>
#> 17312 <NA>
#> 21508 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.
#> 24331 <NA>
#> 24704 <NA>
#> 24768 <NA>
#> 24995 <NA>
#> 25000 <NA>
#> 25001 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.
#> 25004 <NA>
#> 25005 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.
#> 25009 <NA>
#> 25010 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.
#> 25013 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.
#> 25033 <NA>
#> 25913 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).
#> 26057 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.
#> 26066 Public expenditure on health from domestic sources as a share of the economy as measured by GDP.
#> 26070 <NA>
#> 26071 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.
#> 26083 Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.
#> 26086 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.
#> 26092 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.
#> 26266 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.
#> 26267 GDP per person employed is gross domestic product (GDP) divided by total employment in the economy.
#> 26268 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.
#> 27004 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.
#> 27006 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.
#> 27011 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.
#> 27046 <NA>
#> 27047 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.
#> 27048 <NA>
#> 29255 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/
#> 29256 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/
#> 29257 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/
#> 29258 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/
#> 29259 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/
#> 29260 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/
#> 29261 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/
#> 29262 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/
#> 29263 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/
#> 29264 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/
#> 29275 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/
#> 29276 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/
#> 29277 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/
#> 29278 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/
#> 29279 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/
#> 29280 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/
#> 29281 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/
#> 29282 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/
#> 29283 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/
#> 29284 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/
#> 29285 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/
#> 29286 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/
#> 29287 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/
#> 29288 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/
#> 29289 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/
#> 29290 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/
#> 29291 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/
#> 29292 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/
#> 29342 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/
#> 29343 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/
#> 29344 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/
#> 29345 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/
#> 29346 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/
#> 29347 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/
#> 29348 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/
#> 29349 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/
#> 29350 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)
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#> 4361 <NA>
#> 4364 <NA>
#> 4367 <NA>
#> 4370 <NA>
#> 4375 <NA>
#> 4378 <NA>
#> 4381 <NA>
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#> 4393 <NA>
#> 4396 <NA>
#> 4399 <NA>
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#> 4407 <NA>
#> 4410 <NA>
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#> 4421 <NA>
#> 4425 <NA>
#> 4427 <NA>
#> 4429 <NA>
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#> 4435 <NA>
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#> 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>
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#> 4549 <NA>
#> 4552 <NA>
#> 4555 <NA>
#> 4560 <NA>
#> 4565 <NA>
#> 4568 <NA>
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#> 4574 <NA>
#> 4577 <NA>
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#> 4589 <NA>
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#> 4606 <NA>
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#> 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
#> 12909 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 12923 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 13092 World Information Technology and Services Alliance, Digital Planet: The Global Information Economy, and Global Insight, Inc.
#> 13159 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13160 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13161 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13162 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13163 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13164 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13441 <NA>
#> 13443 <NA>
#> 13551 International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.
#> 15559 Mo Ibrahim Foundation, electronic files and web site.
#> 15583 SIPRI Military Expenditure Database, Stockholm International Peace Research Institute (SIPRI), uri: https://www.sipri.org/databases
#> 15588 <NA>
#> 15589 <NA>
#> 15590 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15591 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15592 <NA>
#> 15593 <NA>
#> 15594 <NA>
#> 15595 <NA>
#> 15596 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15597 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15598 <NA>
#> 15599 <NA>
#> 15600 <NA>
#> 15601 <NA>
#> 15602 <NA>
#> 15603 <NA>
#> 15604 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15605 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15606 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15607 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15608 <NA>
#> 15609 <NA>
#> 15610 <NA>
#> 15611 <NA>
#> 15612 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15613 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15614 <NA>
#> 15615 <NA>
#> 15616 <NA>
#> 15617 <NA>
#> 15618 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15619 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15620 <NA>
#> 15621 <NA>
#> 15622 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15623 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15624 <NA>
#> 15625 <NA>
#> 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 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15639 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15640 <NA>
#> 15641 <NA>
#> 15642 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15643 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15644 <NA>
#> 15645 <NA>
#> 15654 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)
#> 15656 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.
#> 15657 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.
#> 15667 World Bank national accounts data, and OECD National Accounts data files.
#> 15682 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)
#> 15683 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)
#> 15684 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)
#> 15694 World Bank national accounts data, and OECD National Accounts data files.
#> 15702 <NA>
#> 15703 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)
#> 15713 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)
#> 15727 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15728 <NA>
#> 15729 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15730 <NA>
#> 15731 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15732 <NA>
#> 15733 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15734 <NA>
#> 15759 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)
#> 15764 World Bank national accounts data, and OECD National Accounts data files.
#> 15767 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15774 <NA>
#> 15775 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 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15777 <NA>
#> 15778 <NA>
#> 15783 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15787 <NA>
#> 15796 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15803 <NA>
#> 15804 <NA>
#> 15805 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)
#> 15815 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)
#> 15816 World Bank country economists.
#> 15822 <NA>
#> 15823 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)
#> 15826 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)
#> 15890 <NA>
#> 15894 <NA>
#> 15900 <NA>
#> 15908 World Bank country economists.
#> 15918 World Bank country economists.
#> 15919 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)
#> 15939 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)
#> 15953 <NA>
#> 15954 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)
#> 15972 World Bank national accounts data, and OECD National Accounts data files.
#> 15973 World Bank national accounts data, and OECD National Accounts data files.
#> 15974 World Bank national accounts data, and OECD National Accounts data files.
#> 15991 <NA>
#> 15992 World Bank national accounts data, and OECD National Accounts data files.
#> 15998 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)
#> 16009 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.
#> 16011 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.
#> 16013 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.
#> 16015 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.
#> 16017 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.
#> 16019 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.
#> 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.
#> 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.
#> 16043 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.
#> 16045 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.
#> 16051 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.
#> 16053 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.
#> 16071 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.
#> 16073 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.
#> 16113 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.
#> 16115 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.
#> 16117 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.
#> 16119 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.
#> 16121 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.
#> 16123 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.
#> 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.
#> 16141 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.
#> 16144 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.
#> 16149 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.
#> 16181 Organisation for Economic Co-operation and Development, Producer and Consumer Support Estimates database. Available online at www.oecd.org/tad/support/psecse.
#> 16185 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.
#> 16186 <NA>
#> 16187 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)
#> 16188 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)
#> 16189 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)
#> 16190 <NA>
#> 16191 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)
#> 16192 World Bank national accounts data, and OECD National Accounts data files.
#> 16193 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)
#> 16194 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)
#> 16195 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)
#> 16196 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)
#> 16197 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)
#> 16198 <NA>
#> 16199 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)
#> 16200 <NA>
#> 16201 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.
#> 16202 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.
#> 16203 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)
#> 16204 World Bank country economists.
#> 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 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)
#> 16207 World Bank country economists.
#> 16208 <NA>
#> 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 Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16212 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)
#> 16213 <NA>
#> 16214 <NA>
#> 16215 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)
#> 16216 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)
#> 16217 <NA>
#> 16218 <NA>
#> 16219 World Bank national accounts data, and OECD National Accounts data files.
#> 16220 <NA>
#> 16221 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.
#> 16222 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)
#> 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 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)
#> 16226 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)
#> 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;\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)
#> 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 "World Bank, International Comparison Programme database.\r"
#> 16231 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.
#> 16232 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.
#> 16239 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)
#> 16240 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)
#> 16241 World Bank country economists.
#> 16243 World Bank national accounts data, and OECD National Accounts data files.
#> 16245 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)
#> 16246 World Bank national accounts data, and OECD National Accounts data files.
#> 16248 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)
#> 16250 <NA>
#> 16251 <NA>
#> 16252 <NA>
#> 16253 <NA>
#> 16254 <NA>
#> 16255 <NA>
#> 16256 <NA>
#> 16257 <NA>
#> 16269 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)
#> 16270 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)
#> 16280 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)
#> 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)
#> 16290 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)
#> 16328 The World Bank
#> 16329 <NA>
#> 16330 <NA>
#> 16331 <NA>
#> 16332 <NA>
#> 16408 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators
#> 16409 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
#> 16410 World Bank, International Comparison Program database.
#> 16411 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators, type: International database
#> 16413 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
#> 16472 <NA>
#> 16480 <NA>
#> 16505 <NA>
#> 16527 <NA>
#> 16536 <NA>
#> 16545 <NA>
#> 16550 <NA>
#> 16552 <NA>
#> 16553 <NA>
#> 16566 <NA>
#> 16582 <NA>
#> 16601 <NA>
#> 16612 <NA>
#> 16613 <NA>
#> 16615 <NA>
#> 16649 <NA>
#> 16666 <NA>
#> 16682 <NA>
#> 16763 <NA>
#> 16787 <NA>
#> 16792 <NA>
#> 16842 <NA>
#> 16859 <NA>
#> 16881 <NA>
#> 16885 <NA>
#> 16937 <NA>
#> 16953 <NA>
#> 16976 <NA>
#> 16980 <NA>
#> 17048 <NA>
#> 17108 <NA>
#> 17129 <NA>
#> 17130 <NA>
#> 17131 <NA>
#> 17132 <NA>
#> 17133 <NA>
#> 17188 <NA>
#> 17205 <NA>
#> 17237 <NA>
#> 17245 <NA>
#> 17265 <NA>
#> 17269 <NA>
#> 17292 <NA>
#> 17307 <NA>
#> 17312 <NA>
#> 21508 Ministry of Finance, SIKD (Information System for Sub-National Budget) and LKPP (Central Government Financial Report)
#> 24331 <NA>
#> 24704 World Bank, Global Education Policy Dashboard
#> 24768 World Bank, Global Education Policy Dashboard
#> 24995 <NA>
#> 25000 <NA>
#> 25001 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25004 <NA>
#> 25005 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25009 <NA>
#> 25010 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25013 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
#> 25033 <NA>
#> 25913 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
#> 26057 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: https://apps.who.int/nha/database
#> 26066 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: http://apps.who.int/nha/database
#> 26070 <NA>
#> 26071 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 7, 2023.
#> 26083 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26086 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26092 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26266 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)
#> 26267 International Labour Organization, Key Indicators of the Labour Market database.
#> 26268 Derived using data from International Labour Organization, ILOSTAT database. The data retrieved in March 1, 2020.
#> 27004 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27006 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27011 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27046 <NA>
#> 27047 World Trade Organization (WTO);\nWorld Bank GDP estimates, World Bank (WB);\nWorld Development Indicators, World Bank (WB)
#> 27048 <NA>
#> 29255 UNESCO Institute for Statistics
#> 29256 UNESCO Institute for Statistics
#> 29257 UNESCO Institute for Statistics
#> 29258 UNESCO Institute for Statistics
#> 29259 UNESCO Institute for Statistics
#> 29260 UNESCO Institute for Statistics
#> 29261 UNESCO Institute for Statistics
#> 29262 UNESCO Institute for Statistics
#> 29263 UNESCO Institute for Statistics
#> 29264 UNESCO Institute for Statistics
#> 29275 UNESCO Institute for Statistics
#> 29276 UNESCO Institute for Statistics
#> 29277 UNESCO Institute for Statistics
#> 29278 UNESCO Institute for Statistics
#> 29279 UNESCO Institute for Statistics
#> 29280 UNESCO Institute for Statistics
#> 29281 UNESCO Institute for Statistics
#> 29282 UNESCO Institute for Statistics
#> 29283 UNESCO Institute for Statistics
#> 29284 UNESCO Institute for Statistics
#> 29285 UNESCO Institute for Statistics
#> 29286 UNESCO Institute for Statistics
#> 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
#> 29342 UNESCO Institute for Statistics
#> 29343 UNESCO Institute for Statistics
#> 29344 UNESCO Institute for Statistics
#> 29345 UNESCO Institute for Statistics
#> 29346 UNESCO Institute for Statistics
#> 29347 UNESCO Institute for Statistics
#> 29348 UNESCO Institute for Statistics
#> 29349 UNESCO Institute for Statistics
#> 29350 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
#> 12909 NA <NA>
#> 12923 NA <NA>
#> 13092 9 Infrastructure
#> 13159 NA <NA>
#> 13160 NA <NA>
#> 13161 NA <NA>
#> 13162 NA <NA>
#> 13163 NA <NA>
#> 13164 NA <NA>
#> 13441 NA <NA>
#> 13443 NA <NA>
#> 13551 9 Infrastructure
#> 15559 NA <NA>
#> 15583 13 Public Sector
#> 15588 NA <NA>
#> 15589 NA <NA>
#> 15590 NA <NA>
#> 15591 NA <NA>
#> 15592 NA <NA>
#> 15593 NA <NA>
#> 15594 NA <NA>
#> 15595 NA <NA>
#> 15596 NA <NA>
#> 15597 NA <NA>
#> 15598 NA <NA>
#> 15599 NA <NA>
#> 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>
#> 15654 3 Economy & Growth
#> 15656 NA <NA>
#> 15657 NA <NA>
#> 15667 3 Economy & Growth
#> 15682 3 Economy & Growth
#> 15683 3 Economy & Growth
#> 15684 3 Economy & Growth
#> 15694 3 Economy & Growth
#> 15702 NA <NA>
#> 15703 3 Economy & Growth
#> 15713 3 Economy & Growth
#> 15725 3 Economy & Growth
#> 15727 NA <NA>
#> 15728 NA <NA>
#> 15729 NA <NA>
#> 15730 NA <NA>
#> 15731 NA <NA>
#> 15732 NA <NA>
#> 15733 NA <NA>
#> 15734 NA <NA>
#> 15759 3 Economy & Growth
#> 15764 NA <NA>
#> 15767 NA <NA>
#> 15774 NA <NA>
#> 15775 3 Economy & Growth
#> 15776 NA <NA>
#> 15777 NA <NA>
#> 15778 NA <NA>
#> 15783 NA <NA>
#> 15787 NA <NA>
#> 15796 NA <NA>
#> 15803 NA <NA>
#> 15804 NA <NA>
#> 15805 3 Economy & Growth
#> 15815 3 Economy & Growth
#> 15816 NA <NA>
#> 15822 NA <NA>
#> 15823 3 Economy & Growth
#> 15826 3 Economy & Growth
#> 15890 NA <NA>
#> 15894 NA <NA>
#> 15900 NA <NA>
#> 15908 NA <NA>
#> 15918 NA <NA>
#> 15919 1 Agriculture & Rural Development
#> 15939 3 Economy & Growth
#> 15953 NA <NA>
#> 15954 3 Economy & Growth
#> 15972 NA <NA>
#> 15973 NA <NA>
#> 15974 NA <NA>
#> 15991 NA <NA>
#> 15992 3 Economy & Growth
#> 15998 3 Economy & Growth
#> 16009 NA <NA>
#> 16011 NA <NA>
#> 16013 NA <NA>
#> 16015 NA <NA>
#> 16017 NA <NA>
#> 16019 NA <NA>
#> 16021 NA <NA>
#> 16023 NA <NA>
#> 16027 NA <NA>
#> 16029 NA <NA>
#> 16043 NA <NA>
#> 16045 NA <NA>
#> 16051 NA <NA>
#> 16053 NA <NA>
#> 16071 NA <NA>
#> 16073 NA <NA>
#> 16113 NA <NA>
#> 16115 NA <NA>
#> 16117 NA <NA>
#> 16119 NA <NA>
#> 16121 NA <NA>
#> 16123 NA <NA>
#> 16125 NA <NA>
#> 16127 NA <NA>
#> 16133 NA <NA>
#> 16135 NA <NA>
#> 16141 NA <NA>
#> 16144 NA <NA>
#> 16147 NA <NA>
#> 16149 NA <NA>
#> 16181 18 Millenium development goals
#> 16185 6 Environment
#> 16186 NA <NA>
#> 16187 3 Economy & Growth
#> 16188 7 Financial Sector
#> 16189 3 Economy & Growth
#> 16190 NA <NA>
#> 16191 7 Financial Sector
#> 16192 NA <NA>
#> 16193 3 Economy & Growth
#> 16194 3 Economy & Growth
#> 16195 3 Economy & Growth
#> 16196 3 Economy & Growth
#> 16197 3 Economy & Growth
#> 16198 NA <NA>
#> 16199 3 Economy & Growth
#> 16200 NA <NA>
#> 16201 6 Environment
#> 16202 5 Energy & Mining
#> 16203 3 Economy & Growth
#> 16204 NA <NA>
#> 16205 3 Economy & Growth
#> 16206 3 Economy & Growth
#> 16207 NA <NA>
#> 16208 NA <NA>
#> 16209 3 Economy & Growth
#> 16210 NA <NA>
#> 16211 3 Economy & Growth
#> 16212 3 Economy & Growth
#> 16213 NA <NA>
#> 16214 NA <NA>
#> 16215 3 Economy & Growth
#> 16216 3 Economy & Growth
#> 16217 NA <NA>
#> 16218 NA <NA>
#> 16219 NA <NA>
#> 16220 NA <NA>
#> 16221 5 Energy & Mining
#> 16222 3 Economy & Growth
#> 16223 3 Economy & Growth
#> 16224 3 Economy & Growth
#> 16225 3 Economy & Growth
#> 16226 3 Economy & Growth
#> 16227 3 Economy & Growth
#> 16228 3 Economy & Growth
#> 16229 NA <NA>
#> 16230 NA <NA>
#> 16231 5 Energy & Mining
#> 16232 5 Energy & Mining
#> 16239 3 Economy & Growth
#> 16240 3 Economy & Growth
#> 16241 NA <NA>
#> 16243 NA <NA>
#> 16245 3 Economy & Growth
#> 16246 NA <NA>
#> 16248 3 Economy & Growth
#> 16250 NA <NA>
#> 16251 NA <NA>
#> 16252 NA <NA>
#> 16253 NA <NA>
#> 16254 NA <NA>
#> 16255 NA <NA>
#> 16256 NA <NA>
#> 16257 NA <NA>
#> 16269 3 Economy & Growth
#> 16270 3 Economy & Growth
#> 16280 3 Economy & Growth
#> 16281 3 Economy & Growth
#> 16290 3 Economy & Growth
#> 16328 NA <NA>
#> 16329 NA <NA>
#> 16330 NA <NA>
#> 16331 NA <NA>
#> 16332 NA <NA>
#> 16408 NA <NA>
#> 16409 3 Economy & Growth
#> 16410 3 Economy & Growth
#> 16411 3 Economy & Growth
#> 16413 3 Economy & Growth
#> 16472 NA <NA>
#> 16480 NA <NA>
#> 16505 NA <NA>
#> 16527 NA <NA>
#> 16536 NA <NA>
#> 16545 NA <NA>
#> 16550 NA <NA>
#> 16552 NA <NA>
#> 16553 NA <NA>
#> 16566 NA <NA>
#> 16582 NA <NA>
#> 16601 NA <NA>
#> 16612 NA <NA>
#> 16613 NA <NA>
#> 16615 NA <NA>
#> 16649 NA <NA>
#> 16666 NA <NA>
#> 16682 NA <NA>
#> 16763 NA <NA>
#> 16787 NA <NA>
#> 16792 NA <NA>
#> 16842 NA <NA>
#> 16859 NA <NA>
#> 16881 NA <NA>
#> 16885 NA <NA>
#> 16937 NA <NA>
#> 16953 NA <NA>
#> 16976 NA <NA>
#> 16980 NA <NA>
#> 17048 NA <NA>
#> 17108 NA <NA>
#> 17129 NA <NA>
#> 17130 NA <NA>
#> 17131 NA <NA>
#> 17132 NA <NA>
#> 17133 NA <NA>
#> 17188 NA <NA>
#> 17205 NA <NA>
#> 17237 NA <NA>
#> 17245 NA <NA>
#> 17265 NA <NA>
#> 17269 NA <NA>
#> 17292 NA <NA>
#> 17307 NA <NA>
#> 17312 NA <NA>
#> 21508 NA <NA>
#> 24331 NA <NA>
#> 24704 NA <NA>
#> 24768 NA <NA>
#> 24995 NA <NA>
#> 25000 NA <NA>
#> 25001 4 Education
#> 25004 NA <NA>
#> 25005 4 Education
#> 25009 NA <NA>
#> 25010 4 Education
#> 25013 4 Education
#> 25033 NA <NA>
#> 25913 8 Health
#> 26057 8 Health
#> 26066 8 Health
#> 26070 NA <NA>
#> 26071 NA <NA>
#> 26083 8 Health
#> 26086 8 Health
#> 26092 8 Health
#> 26266 10 Social Protection & Labor
#> 26267 NA <NA>
#> 26268 NA <NA>
#> 27004 NA <NA>
#> 27006 NA <NA>
#> 27011 NA <NA>
#> 27046 NA <NA>
#> 27047 12 Private Sector
#> 27048 NA <NA>
#> 29255 NA <NA>
#> 29256 NA <NA>
#> 29257 NA <NA>
#> 29258 NA <NA>
#> 29259 NA <NA>
#> 29260 NA <NA>
#> 29261 NA <NA>
#> 29262 NA <NA>
#> 29263 NA <NA>
#> 29264 NA <NA>
#> 29275 NA <NA>
#> 29276 NA <NA>
#> 29277 NA <NA>
#> 29278 NA <NA>
#> 29279 NA <NA>
#> 29280 NA <NA>
#> 29281 NA <NA>
#> 29282 NA <NA>
#> 29283 NA <NA>
#> 29284 NA <NA>
#> 29285 NA <NA>
#> 29286 NA <NA>
#> 29287 NA <NA>
#> 29288 NA <NA>
#> 29289 NA <NA>
#> 29290 NA <NA>
#> 29291 NA <NA>
#> 29292 NA <NA>
#> 29342 NA <NA>
#> 29343 NA <NA>
#> 29344 NA <NA>
#> 29345 NA <NA>
#> 29346 NA <NA>
#> 29347 NA <NA>
#> 29348 NA <NA>
#> 29349 NA <NA>
#> 29350 NA <NA>
# restrict the search to the indicator name
wb_search("unemployment", fields = "name")
#> id
#> 14215 JI.UEM.1524.FE.ZS
#> 14216 JI.UEM.1524.HE.ZS
#> 14217 JI.UEM.1524.LE.ZS
#> 14218 JI.UEM.1524.MA.ZS
#> 14219 JI.UEM.1524.RU.ZS
#> 14220 JI.UEM.1524.UR.ZS
#> 14221 JI.UEM.1524.ZS
#> 14222 JI.UEM.1564.FE.ZS
#> 14223 JI.UEM.1564.HE.ZS
#> 14224 JI.UEM.1564.LE.ZS
#> 14225 JI.UEM.1564.MA.ZS
#> 14226 JI.UEM.1564.OL.ZS
#> 14227 JI.UEM.1564.RU.ZS
#> 14228 JI.UEM.1564.UR.ZS
#> 14229 JI.UEM.1564.YG.ZS
#> 14230 JI.UEM.1564.ZS
#> 14359 lm_ub.bi_q1
#> 14360 lm_ub.cov_pop
#> 14361 lm_ub.gen_pop
#> 17716 per_lm_alllm.adq_pop_tot
#> 17793 per_lm_alllm.ben_q1_tot
#> 17864 per_lm_alllm.cov_pop_tot
#> 17870 per_lm_alllm.cov_q1_tot
#> 17874 per_lm_alllm.cov_q2_tot
#> 17878 per_lm_alllm.cov_q3_tot
#> 17882 per_lm_alllm.cov_q4_tot
#> 17886 per_lm_alllm.cov_q5_tot
#> 26377 SL.UEM.1524.FE.NE.ZS
#> 26378 SL.UEM.1524.FE.ZS
#> 26379 SL.UEM.1524.FM.NE.ZS
#> 26380 SL.UEM.1524.FM.ZS
#> 26381 SL.UEM.1524.MA.NE.ZS
#> 26382 SL.UEM.1524.MA.ZS
#> 26383 SL.UEM.1524.NE.ZS
#> 26384 SL.UEM.1524.ZS
#> 26385 SL.UEM.ADVN.FE.ZS
#> 26386 SL.UEM.ADVN.MA.ZS
#> 26387 SL.UEM.ADVN.ZS
#> 26388 SL.UEM.BASC.FE.ZS
#> 26389 SL.UEM.BASC.MA.ZS
#> 26390 SL.UEM.BASC.ZS
#> 26391 SL.UEM.INTM.FE.ZS
#> 26392 SL.UEM.INTM.MA.ZS
#> 26393 SL.UEM.INTM.ZS
#> 26394 SL.UEM.LTRM.FE.ZS
#> 26395 SL.UEM.LTRM.MA.ZS
#> 26396 SL.UEM.LTRM.ZS
#> 26403 SL.UEM.PRIM.FE.ZS
#> 26404 SL.UEM.PRIM.MA.ZS
#> 26405 SL.UEM.PRIM.ZS
#> 26406 SL.UEM.SECO.FE.ZS
#> 26407 SL.UEM.SECO.MA.ZS
#> 26408 SL.UEM.SECO.ZS
#> 26409 SL.UEM.TERT.FE.ZS
#> 26410 SL.UEM.TERT.MA.ZS
#> 26411 SL.UEM.TERT.ZS
#> 26413 SL.UEM.TOTL.FE.NE.ZS
#> 26414 SL.UEM.TOTL.FE.ZS
#> 26415 SL.UEM.TOTL.MA.NE.ZS
#> 26416 SL.UEM.TOTL.MA.ZS
#> 26417 SL.UEM.TOTL.NE.ZS
#> 26418 SL.UEM.TOTL.ZS
#> 29401 UNEMPSA_
#> name
#> 14215 Youth unemployment rate, aged 15-24, female (% of female youth labor force)
#> 14216 Youth unemployment rate, aged 15-24, above primary education (% of youth labor force with high education)
#> 14217 Youth unemployment rate, aged 15-24, primary education and below (% of youth labor force with low education)
#> 14218 Youth unemployment rate, aged 15-24, male (% of male youth labor force)
#> 14219 Youth unemployment rate, aged 15-24, rural (% of rural youth labor force)
#> 14220 Youth unemployment rate, aged 15-24, urban (% of urban youth labor force)
#> 14221 Youth unemployment rate, aged 15-24, total (% of total youth labor force)
#> 14222 Unemployment rate, aged 15-64, female (% of female labor force in working age)
#> 14223 Unemployment rate, aged 15-64, above primary education (% of labor force with high education in working age)
#> 14224 Unemployment rate, aged 15-64, primary education and below (% of labor force with low education in working age)
#> 14225 Unemployment rate, aged 15-64, male (% of male labor force in working age)
#> 14226 Unemployment rate, aged 25-64 (% of labor force aged 25-64)
#> 14227 Unemployment rate, aged 15-64, rural (% of rural labor force in working age)
#> 14228 Unemployment rate, aged 15-64, urban (% of urban labor force in working age)
#> 14229 Unemployment rate, aged 15-24 (% of labor force aged 15-24)
#> 14230 Unemployment rate, aged 15-64, total (% of total labor force in working age)
#> 14359 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
#> 14360 Coverage of unemployment benefits and ALMP (% of population)
#> 14361 Generosity of unemployment benefits and ALMP (% of total welfare of beneficiary households)
#> 17716 Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households)
#> 17793 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
#> 17864 Coverage of unemployment benefits and ALMP (% of population)
#> 17870 Coverage of unemployment benefits and ALMP in poorest quintile (% of population)
#> 17874 Coverage of unemployment benefits and ALMP in 2nd quintile (% of population)
#> 17878 Coverage of unemployment benefits and ALMP in 3rd quintile (% of population)
#> 17882 Coverage of unemployment benefits and ALMP in 4th quintile (% of population)
#> 17886 Coverage of unemployment benefits and ALMP in richest quintile (% of population)
#> 26377 Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
#> 26378 Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
#> 26379 Ratio of female to male youth unemployment rate (%) (national estimate)
#> 26380 Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)
#> 26381 Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
#> 26382 Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
#> 26383 Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
#> 26384 Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
#> 26385 Unemployment with advanced education, female (% of female labor force with advanced education)
#> 26386 Unemployment with advanced education, male (% of male labor force with advanced education)
#> 26387 Unemployment with advanced education (% of total labor force with advanced education)
#> 26388 Unemployment with basic education, female (% of female labor force with basic education)
#> 26389 Unemployment with basic education, male (% of male labor force with basic education)
#> 26390 Unemployment with basic education (% of total labor force with basic education)
#> 26391 Unemployment with intermediate education, female (% of female labor force with intermediate education)
#> 26392 Unemployment with intermediate education, male (% of male labor force with intermediate education)
#> 26393 Unemployment with intermediate education (% of total labor force with intermediate education)
#> 26394 Long-term unemployment, female (% of female unemployment)
#> 26395 Long-term unemployment, male (% of male unemployment)
#> 26396 Long-term unemployment (% of total unemployment)
#> 26403 Unemployment with primary education, female (% of female unemployment)
#> 26404 Unemployment with primary education, male (% of male unemployment)
#> 26405 Unemployment with primary education (% of total unemployment)
#> 26406 Unemployment with secondary education, female (% of female unemployment)
#> 26407 Unemployment with secondary education, male (% of male unemployment)
#> 26408 Unemployment with secondary education (% of total unemployment)
#> 26409 Unemployment with tertiary education, female (% of female unemployment)
#> 26410 Unemployment with tertiary education, male (% of male unemployment)
#> 26411 Unemployment with tertiary education (% of total unemployment)
#> 26413 Unemployment, female (% of female labor force) (national estimate)
#> 26414 Unemployment, female (% of female labor force) (modeled ILO estimate)
#> 26415 Unemployment, male (% of male labor force) (national estimate)
#> 26416 Unemployment, male (% of male labor force) (modeled ILO estimate)
#> 26417 Unemployment, total (% of total labor force) (national estimate)
#> 26418 Unemployment, total (% of total labor force) (modeled ILO estimate)
#> 29401 Unemployment rate,Percent,,,
#> unit source_id source_value
#> 14215 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14216 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14217 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14218 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14219 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14220 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14221 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14222 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14223 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14224 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14225 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14226 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 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)
#> 14359 <NA> 57 WDI Database Archives
#> 14360 <NA> 57 WDI Database Archives
#> 14361 <NA> 57 WDI Database Archives
#> 17716 <NA> 2 World Development Indicators
#> 17793 <NA> 2 World Development Indicators
#> 17864 <NA> 2 World Development Indicators
#> 17870 <NA> 2 World Development Indicators
#> 17874 <NA> 2 World Development Indicators
#> 17878 <NA> 2 World Development Indicators
#> 17882 <NA> 2 World Development Indicators
#> 17886 <NA> 2 World Development Indicators
#> 26377 <NA> 2 World Development Indicators
#> 26378 <NA> 2 World Development Indicators
#> 26379 <NA> 14 Gender Statistics
#> 26380 <NA> 14 Gender Statistics
#> 26381 <NA> 2 World Development Indicators
#> 26382 <NA> 2 World Development Indicators
#> 26383 <NA> 2 World Development Indicators
#> 26384 <NA> 2 World Development Indicators
#> 26385 <NA> 2 World Development Indicators
#> 26386 <NA> 2 World Development Indicators
#> 26387 <NA> 2 World Development Indicators
#> 26388 <NA> 2 World Development Indicators
#> 26389 <NA> 2 World Development Indicators
#> 26390 <NA> 2 World Development Indicators
#> 26391 <NA> 2 World Development Indicators
#> 26392 <NA> 2 World Development Indicators
#> 26393 <NA> 2 World Development Indicators
#> 26394 <NA> 57 WDI Database Archives
#> 26395 <NA> 57 WDI Database Archives
#> 26396 <NA> 57 WDI Database Archives
#> 26403 <NA> 57 WDI Database Archives
#> 26404 <NA> 57 WDI Database Archives
#> 26405 <NA> 57 WDI Database Archives
#> 26406 <NA> 57 WDI Database Archives
#> 26407 <NA> 57 WDI Database Archives
#> 26408 <NA> 11 Africa Development Indicators
#> 26409 <NA> 57 WDI Database Archives
#> 26410 <NA> 11 Africa Development Indicators
#> 26411 <NA> 57 WDI Database Archives
#> 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
#> 29401 <NA> 15 Global Economic Monitor
#> source_note
#> 14215 <NA>
#> 14216 <NA>
#> 14217 <NA>
#> 14218 <NA>
#> 14219 <NA>
#> 14220 <NA>
#> 14221 <NA>
#> 14222 <NA>
#> 14223 <NA>
#> 14224 <NA>
#> 14225 <NA>
#> 14226 <NA>
#> 14227 <NA>
#> 14228 <NA>
#> 14229 <NA>
#> 14230 <NA>
#> 14359 <NA>
#> 14360 <NA>
#> 14361 <NA>
#> 17716 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.
#> 17793 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.
#> 17864 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.
#> 17870 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.
#> 17874 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.
#> 17878 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.
#> 26377 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.
#> 26378 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 26379 Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
#> 26380 Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
#> 26381 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.
#> 26382 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 26383 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.
#> 26384 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 26385 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).
#> 26386 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).
#> 26387 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).
#> 26388 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).
#> 26389 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).
#> 26390 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).
#> 26391 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).
#> 26392 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).
#> 26393 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).
#> 26394 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.
#> 26395 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.
#> 26396 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.
#> 26403 Female unemployment with primary education is the share of the female unemployed who attained or completed primary education as the highest level.
#> 26404 Male unemployment with primary education is the share of the male unemployed who attained or completed primary education as the highest level.
#> 26405 Unemployment with primary education is the share of the total unemployed who attained or completed primary education as the highest level.
#> 26406 Female unemployment with secondary education is the share of the female unemployed who attained or completed secondary education as the highest level.
#> 26407 Male unemployment with secondary education is the share of the male unemployed who attained or completed secondary education as the highest level.
#> 26408 Unemployment with secondary education is the share of the total unemployed who attained or completed secondary education as the highest level.
#> 26409 Female unemployment with tertiary education is the share of the female unemployed who attained or completed tertiary education as the highest level.
#> 26410 Male unemployment with tertiary education is the share of the male unemployed who attained or completed tertiary education as the highest level.
#> 26411 Unemployment with tertiary education is the share of the total unemployed who attained or completed tertiary education as the highest level.
#> 26413 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.
#> 26414 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 26415 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.
#> 26416 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 26417 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.
#> 26418 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 29401 <NA>
#> source_organization
#> 14215 <NA>
#> 14216 <NA>
#> 14217 <NA>
#> 14218 <NA>
#> 14219 <NA>
#> 14220 <NA>
#> 14221 <NA>
#> 14222 <NA>
#> 14223 <NA>
#> 14224 <NA>
#> 14225 <NA>
#> 14226 <NA>
#> 14227 <NA>
#> 14228 <NA>
#> 14229 <NA>
#> 14230 <NA>
#> 14359 <NA>
#> 14360 <NA>
#> 14361 <NA>
#> 17716 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.
#> 17793 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.
#> 17864 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.
#> 17870 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.
#> 17874 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.
#> 17878 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.
#> 26377 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26378 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
#> 26379 World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
#> 26380 World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
#> 26381 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26382 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
#> 26383 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26384 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
#> 26385 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
#> 26386 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
#> 26387 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
#> 26388 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
#> 26389 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
#> 26390 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
#> 26391 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
#> 26392 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
#> 26393 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
#> 26394 International Labour Organization, Key Indicators of the Labour Market database.
#> 26395 International Labour Organization, Key Indicators of the Labour Market database.
#> 26396 International Labour Organization, Key Indicators of the Labour Market database.
#> 26403 International Labour Organization, Key Indicators of the Labour Market database.
#> 26404 International Labour Organization, Key Indicators of the Labour Market database.
#> 26405 International Labour Organization, Key Indicators of the Labour Market database.
#> 26406 International Labour Organization, Key Indicators of the Labour Market database.
#> 26407 International Labour Organization, Key Indicators of the Labour Market database.
#> 26408 International Labour Organization, Key Indicators of the Labour Market database.
#> 26409 International Labour Organization, Key Indicators of the Labour Market database.
#> 26410 International Labour Organization, Key Indicators of the Labour Market database.
#> 26411 International Labour Organization, Key Indicators of the Labour Market database.
#> 26413 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 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: March 30, 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 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: March 30, 2026
#> 26418 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
#> 29401 <NA>
#> topic_id topic_value
#> 14215 NA <NA>
#> 14216 NA <NA>
#> 14217 NA <NA>
#> 14218 NA <NA>
#> 14219 NA <NA>
#> 14220 NA <NA>
#> 14221 NA <NA>
#> 14222 NA <NA>
#> 14223 NA <NA>
#> 14224 NA <NA>
#> 14225 NA <NA>
#> 14226 NA <NA>
#> 14227 NA <NA>
#> 14228 NA <NA>
#> 14229 NA <NA>
#> 14230 NA <NA>
#> 14359 NA <NA>
#> 14360 NA <NA>
#> 14361 NA <NA>
#> 17716 10 Social Protection & Labor
#> 17793 10 Social Protection & Labor
#> 17864 10 Social Protection & Labor
#> 17870 10 Social Protection & Labor
#> 17874 10 Social Protection & Labor
#> 17878 10 Social Protection & Labor
#> 17882 10 Social Protection & Labor
#> 17886 10 Social Protection & Labor
#> 26377 10 Social Protection & Labor
#> 26378 10 Social Protection & Labor
#> 26379 17 Gender
#> 26380 17 Gender
#> 26381 10 Social Protection & Labor
#> 26382 10 Social Protection & Labor
#> 26383 10 Social Protection & Labor
#> 26384 10 Social Protection & Labor
#> 26385 10 Social Protection & Labor
#> 26386 10 Social Protection & Labor
#> 26387 10 Social Protection & Labor
#> 26388 10 Social Protection & Labor
#> 26389 10 Social Protection & Labor
#> 26390 10 Social Protection & Labor
#> 26391 10 Social Protection & Labor
#> 26392 10 Social Protection & Labor
#> 26393 10 Social Protection & Labor
#> 26394 10 Social Protection & Labor
#> 26395 10 Social Protection & Labor
#> 26396 10 Social Protection & Labor
#> 26403 10 Social Protection & Labor
#> 26404 10 Social Protection & Labor
#> 26405 10 Social Protection & Labor
#> 26406 10 Social Protection & Labor
#> 26407 10 Social Protection & Labor
#> 26408 10 Social Protection & Labor
#> 26409 10 Social Protection & Labor
#> 26410 10 Social Protection & Labor
#> 26411 10 Social Protection & Labor
#> 26413 10 Social Protection & Labor
#> 26414 4 Education
#> 26415 10 Social Protection & Labor
#> 26416 4 Education
#> 26417 10 Social Protection & Labor
#> 26418 4 Education
#> 29401 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
#> 12909 IC.FRM.PROD.GROW.PEFT3
#> 12923 IC.FRM.SLS.GROW.PEFT1
#> 13092 IE.ICT.TOTL.GD.ZS
#> 13159 IN.EC.GSDP.PERCAP.NOM.INR
#> 13160 IN.EC.GSDP.PERCAP.NOM.USD
#> 13161 IN.EC.GSDP.PERCAP.REAL.INR
#> 13162 IN.EC.GSDP.PERCAP.REAL.INR.GRWTHRAT
#> 13163 IN.EC.GSDP.PERCAP.REAL.USD
#> 13164 IN.EC.GSDP.PERCAP.REAL.USD.GRWTHRAT
#> 13441 IS.RRS.GOOD.KM.PP.ZS
#> 13443 IS.RRS.PASG.K2.PP.ZS
#> 13551 IT.TEL.REVN.GD.ZS
#> 15559 MO.INDEX.ECON.XQ
#> 15583 MS.MIL.XPND.GD.ZS
#> 15588 NA.GDP.ACC.FB.SNA08.CR
#> 15589 NA.GDP.ACC.FB.SNA08.KR
#> 15590 NA.GDP.AGR.CR
#> 15591 NA.GDP.AGR.KR
#> 15592 NA.GDP.AGR.SNA08.CR
#> 15593 NA.GDP.AGR.SNA08.KR
#> 15594 NA.GDP.BUSS.SNA08.CR
#> 15595 NA.GDP.BUSS.SNA08.KR
#> 15596 NA.GDP.CNST.CR
#> 15597 NA.GDP.CNST.KR
#> 15598 NA.GDP.CNST.SNA08.CR
#> 15599 NA.GDP.CNST.SNA08.KR
#> 15600 NA.GDP.EDUS.SNA08.CR
#> 15601 NA.GDP.EDUS.SNA08.KR
#> 15602 NA.GDP.ELEC.GAS.SNA08.CR
#> 15603 NA.GDP.ELEC.GAS.SNA08.KR
#> 15604 NA.GDP.EXC.OG.CR
#> 15605 NA.GDP.EXC.OG.KR
#> 15606 NA.GDP.FINS.CR
#> 15607 NA.GDP.FINS.KR
#> 15608 NA.GDP.FINS.SNA08.CR
#> 15609 NA.GDP.FINS.SNA08.KR
#> 15610 NA.GDP.HLTH.SOCW.SNA08.CR
#> 15611 NA.GDP.HLTH.SOCW.SNA08.KR
#> 15612 NA.GDP.INC.OG.CR
#> 15613 NA.GDP.INC.OG.KR
#> 15614 NA.GDP.INC.OG.SNA08.CR
#> 15615 NA.GDP.INC.OG.SNA08.KR
#> 15616 NA.GDP.INF.COMM.SNA08.CR
#> 15617 NA.GDP.INF.COMM.SNA08.KR
#> 15618 NA.GDP.MINQ.CR
#> 15619 NA.GDP.MINQ.KR
#> 15620 NA.GDP.MINQ.SNA08.CR
#> 15621 NA.GDP.MINQ.SNA08.KR
#> 15622 NA.GDP.MNF.CR
#> 15623 NA.GDP.MNF.KR
#> 15624 NA.GDP.MNF.SNA08.CR
#> 15625 NA.GDP.MNF.SNA08.KR
#> 15626 NA.GDP.PADM.DEF.SNA08.CR
#> 15627 NA.GDP.PADM.DEF.SNA08.KR
#> 15628 NA.GDP.REST.SNA08.CR
#> 15629 NA.GDP.REST.SNA08.KR
#> 15630 NA.GDP.SRV.OTHR.CR
#> 15631 NA.GDP.SRV.OTHR.KR
#> 15632 NA.GDP.SRV.OTHR.SNA08.CR
#> 15633 NA.GDP.SRV.OTHR.SNA08.KR
#> 15634 NA.GDP.TRAN.COMM.CR
#> 15635 NA.GDP.TRAN.COMM.KR
#> 15636 NA.GDP.TRAN.STOR.SNA08.CR
#> 15637 NA.GDP.TRAN.STOR.SNA08.KR
#> 15638 NA.GDP.TRD.HTL.CR
#> 15639 NA.GDP.TRD.HTL.KR
#> 15640 NA.GDP.TRD.SNA08.CR
#> 15641 NA.GDP.TRD.SNA08.KR
#> 15642 NA.GDP.UTL.CR
#> 15643 NA.GDP.UTL.KR
#> 15644 NA.GDP.WTR.WST.SNA08.CR
#> 15645 NA.GDP.WTR.WST.SNA08.KR
#> 15654 NE.CON.GOVT.ZS
#> 15656 NE.CON.PCAP.PP.CD
#> 15657 NE.CON.PCAP.PP.KD
#> 15667 NE.CON.PETC.ZS
#> 15682 NE.CON.PRVT.PP.CD
#> 15683 NE.CON.PRVT.PP.KD
#> 15684 NE.CON.PRVT.ZS
#> 15694 NE.CON.TETC.ZS
#> 15702 NE.CON.TOTL.ZG
#> 15703 NE.CON.TOTL.ZS
#> 15713 NE.DAB.TOTL.ZS
#> 15725 NE.EXP.GNFS.ZS
#> 15727 NE.GDI.CON.GOVT.CR
#> 15728 NE.GDI.CON.GOVT.SNA08.CR
#> 15729 NE.GDI.CON.NPI.CR
#> 15730 NE.GDI.CON.NPI.SNA08.CR
#> 15731 NE.GDI.CON.PRVT.CR
#> 15732 NE.GDI.CON.PRVT.SNA08.CR
#> 15733 NE.GDI.EXPT.CR
#> 15734 NE.GDI.EXPT.SNA08.CR
#> 15759 NE.GDI.FPRV.ZS
#> 15764 NE.GDI.FPUB.ZS
#> 15767 NE.GDI.FTOT.CR
#> 15774 NE.GDI.FTOT.SNA08.CR
#> 15775 NE.GDI.FTOT.ZS
#> 15776 NE.GDI.IMPT.CR
#> 15777 NE.GDI.IMPT.SNA08.CR
#> 15778 NE.GDI.INEX.SNA08.CR
#> 15783 NE.GDI.STKB.CR
#> 15787 NE.GDI.STKB.SNA08.CR
#> 15796 NE.GDI.TOTL.CR
#> 15803 NE.GDI.TOTL.SNA08.CR
#> 15804 NE.GDI.TOTL.ZG
#> 15805 NE.GDI.TOTL.ZS
#> 15815 NE.IMP.GNFS.ZS
#> 15816 NE.MRCH.GDP.ZS
#> 15822 NE.RSB.GNFS.ZG
#> 15823 NE.RSB.GNFS.ZS
#> 15826 NE.TRD.GNFS.ZS
#> 15890 NP.AGR.TOTL.ZG
#> 15894 NP.IND.TOTL.ZG
#> 15900 NP.SRV.TOTL.ZG
#> 15908 NV.AGR.PCAP.KD.ZG
#> 15918 NV.AGR.TOTL.ZG
#> 15919 NV.AGR.TOTL.ZS
#> 15939 NV.IND.MANF.ZS
#> 15953 NV.IND.TOTL.ZG
#> 15954 NV.IND.TOTL.ZS
#> 15972 NV.SRV.DISC.CD
#> 15973 NV.SRV.DISC.CN
#> 15974 NV.SRV.DISC.KN
#> 15991 NV.SRV.TETC.ZG
#> 15992 NV.SRV.TETC.ZS
#> 15998 NV.SRV.TOTL.ZS
#> 16009 NW.HCA.FEMA.PC
#> 16011 NW.HCA.FEMA.TO
#> 16013 NW.HCA.MALE.PC
#> 16015 NW.HCA.MALE.TO
#> 16017 NW.HCA.PC
#> 16019 NW.HCA.TO
#> 16021 NW.NCA.AGRI.PC
#> 16023 NW.NCA.AGRI.TO
#> 16027 NW.NCA.FISH.PC
#> 16029 NW.NCA.FISH.TO
#> 16043 NW.NCA.FTIM.PC
#> 16045 NW.NCA.FTIM.TO
#> 16051 NW.NCA.MANG.PC
#> 16053 NW.NCA.MANG.TO
#> 16071 NW.NCA.MINR.PC
#> 16073 NW.NCA.MINR.TO
#> 16113 NW.NCA.SACO.PC
#> 16115 NW.NCA.SACO.TO
#> 16117 NW.NCA.SAGA.PC
#> 16119 NW.NCA.SAGA.TO
#> 16121 NW.NCA.SAOI.PC
#> 16123 NW.NCA.SAOI.TO
#> 16125 NW.NCA.SSOI.PC
#> 16127 NW.NCA.SSOI.TO
#> 16133 NW.NFA.PC
#> 16135 NW.NFA.TO
#> 16141 NW.PCA.PC
#> 16144 NW.PCA.TO
#> 16147 NW.TOW.PC
#> 16149 NW.TOW.TO
#> 16181 NY.AGR.SUBS.GD.ZS
#> 16185 NY.GDP.COAL.RT.ZS
#> 16186 NY.GDP.DEFL.87.ZG
#> 16187 NY.GDP.DEFL.KD.ZG
#> 16188 NY.GDP.DEFL.KD.ZG.AD
#> 16189 NY.GDP.DEFL.ZS
#> 16190 NY.GDP.DEFL.ZS.87
#> 16191 NY.GDP.DEFL.ZS.AD
#> 16192 NY.GDP.DISC.CD
#> 16193 NY.GDP.DISC.CN
#> 16194 NY.GDP.DISC.KN
#> 16195 NY.GDP.FCST.CD
#> 16196 NY.GDP.FCST.CN
#> 16197 NY.GDP.FCST.KD
#> 16198 NY.GDP.FCST.KD.87
#> 16199 NY.GDP.FCST.KN
#> 16200 NY.GDP.FCST.KN.87
#> 16201 NY.GDP.FRST.RT.ZS
#> 16202 NY.GDP.MINR.RT.ZS
#> 16203 NY.GDP.MKTP.CD
#> 16204 NY.GDP.MKTP.CD.XD
#> 16205 NY.GDP.MKTP.CN
#> 16206 NY.GDP.MKTP.CN.AD
#> 16207 NY.GDP.MKTP.CN.XD
#> 16208 NY.GDP.MKTP.IN
#> 16209 NY.GDP.MKTP.KD
#> 16210 NY.GDP.MKTP.KD.87
#> 16211 NY.GDP.MKTP.KD.ZG
#> 16212 NY.GDP.MKTP.KN
#> 16213 NY.GDP.MKTP.KN.87
#> 16214 NY.GDP.MKTP.KN.87.ZG
#> 16215 NY.GDP.MKTP.PP.CD
#> 16216 NY.GDP.MKTP.PP.KD
#> 16217 NY.GDP.MKTP.PP.KD.87
#> 16218 NY.GDP.MKTP.XD
#> 16219 NY.GDP.MKTP.XU.E
#> 16220 NY.GDP.MKTP.ZG
#> 16221 NY.GDP.NGAS.RT.ZS
#> 16222 NY.GDP.PCAP.CD
#> 16223 NY.GDP.PCAP.CN
#> 16224 NY.GDP.PCAP.KD
#> 16225 NY.GDP.PCAP.KD.ZG
#> 16226 NY.GDP.PCAP.KN
#> 16227 NY.GDP.PCAP.PP.CD
#> 16228 NY.GDP.PCAP.PP.KD
#> 16229 NY.GDP.PCAP.PP.KD.87
#> 16230 NY.GDP.PCAP.PP.KD.ZG
#> 16231 NY.GDP.PETR.RT.ZS
#> 16232 NY.GDP.TOTL.RT.ZS
#> 16239 NY.GDS.TOTL.CD
#> 16240 NY.GDS.TOTL.CN
#> 16241 NY.GDS.TOTL.KD
#> 16243 NY.GDS.TOTL.KN
#> 16245 NY.GDS.TOTL.ZS
#> 16246 NY.GDY.TOTL.KD
#> 16248 NY.GDY.TOTL.KN
#> 16250 NY.GEN.AEDU.GD.ZS
#> 16251 NY.GEN.DCO2.GD.ZS
#> 16252 NY.GEN.DFOR.GD.ZS
#> 16253 NY.GEN.DKAP.GD.ZS
#> 16254 NY.GEN.DMIN.GD.ZS
#> 16255 NY.GEN.DNGY.GD.ZS
#> 16256 NY.GEN.NDOM.GD.ZS
#> 16257 NY.GEN.SVNG.GD.ZS
#> 16269 NY.GNP.MKTP.PP.CD
#> 16270 NY.GNP.MKTP.PP.KD
#> 16280 NY.GNP.PCAP.PP.CD
#> 16281 NY.GNP.PCAP.PP.KD
#> 16290 NY.GNS.ICTR.ZS
#> 16328 NYGDPMKTPKDZ
#> 16329 NYGDPMKTPSACD
#> 16330 NYGDPMKTPSACN
#> 16331 NYGDPMKTPSAKD
#> 16332 NYGDPMKTPSAKN
#> 16408 PA.NUS.GDP.PLI
#> 16409 PA.NUS.PPP
#> 16410 PA.NUS.PPP.05
#> 16411 PA.NUS.PPPC.RF
#> 16413 PA.NUS.PRVT.PP
#> 16472 PER.ALL.CNTRL.GDP
#> 16480 PER.ALL.CPL.GDP
#> 16505 PER.ALL.PS.GDP
#> 16527 PER.ALL.RCT.GDP
#> 16536 PER.ALL.SAL.GDP
#> 16545 PER.ALL.SUB.GDP
#> 16550 PER.ALL.TSAL.GDP
#> 16552 PER.ALL.TTL.GDP
#> 16553 PER.ALL.TTL.GDP.GOV
#> 16566 PER.BAS.GDP
#> 16582 PER.BAS.PS.GDP
#> 16601 PER.BAS.SAL.GDP
#> 16612 PER.EFF.GDP
#> 16613 PER.EFF.SUB.GDP
#> 16615 PER.EFF.TEACH.GDP
#> 16649 PER.JR.PS.GDP
#> 16666 PER.JR.SAL.GDP
#> 16682 PER.OC.FEED.GDP
#> 16763 PER.OC.TRA.GDP
#> 16787 PER.PP.GDP
#> 16792 PER.PP.PS.GDP
#> 16842 PER.PRM.GDP
#> 16859 PER.PRM.PS.GDP
#> 16881 PER.PRM.RCT.GDP
#> 16885 PER.PRM.SAL.GDP
#> 16937 PER.SEC.GDP
#> 16953 PER.SEC.PS.GDP
#> 16976 PER.SEC.RCT.GDP
#> 16980 PER.SEC.SAL.GDP
#> 17048 PER.SOR.GOV.GDP
#> 17108 PER.SOR.ITL.GDP
#> 17129 PER.SOR.PVT.GDP
#> 17130 PER.SOR.PVT.GDP.PP
#> 17131 PER.SOR.PVT.GDP.PRM
#> 17132 PER.SOR.PVT.GDP.SEC
#> 17133 PER.SOR.PVT.GDP.TER
#> 17188 PER.SR.PS.GDP
#> 17205 PER.SR.SAL.GDP
#> 17237 PER.TER.GDP
#> 17245 PER.TER.PS.GDP
#> 17265 PER.TER.RCT.GDP
#> 17269 PER.TER.SAL.GDP
#> 17292 PER.TT.PS.GDP
#> 17307 PER.VOC.GDP
#> 17312 PER.VOC.PS.GDP
#> 21508 REV.DAU.CR
#> 24331 SE.PRM.BFIN.6
#> 24704 SE.PRM.SATT.2
#> 24768 SE.PRM.TATT.1
#> 24995 SE.XPD.EDUC.ZS
#> 25000 SE.XPD.PRIM.GDP.ZS
#> 25001 SE.XPD.PRIM.PC.ZS
#> 25004 SE.XPD.SECO.GDP.ZS
#> 25005 SE.XPD.SECO.PC.ZS
#> 25009 SE.XPD.TERT.GDP.ZS
#> 25010 SE.XPD.TERT.PC.ZS
#> 25013 SE.XPD.TOTL.GD.ZS
#> 25033 SF.TRN.RAIL.KM.ZS
#> 25913 SH.STA.MMRT
#> 26057 SH.XPD.CHEX.GD.ZS
#> 26066 SH.XPD.GHED.GD.ZS
#> 26070 SH.XPD.HLTH.ZS
#> 26071 SH.XPD.KHEX.GD.ZS
#> 26083 SH.XPD.PRIV.ZS
#> 26086 SH.XPD.PUBL.ZS
#> 26092 SH.XPD.TOTL.ZS
#> 26266 SL.GDP.PCAP.EM.KD
#> 26267 SL.GDP.PCAP.EM.KD.ZG
#> 26268 SL.GDP.PCAP.EM.XD
#> 27004 SPI.D5.2.3.CNIN
#> 27006 SPI.D5.2.5.HOUS
#> 27011 SPI.D5.5.DIFI
#> 27046 TG.VAL.TOTL.GD.PP.ZS
#> 27047 TG.VAL.TOTL.GD.ZS
#> 27048 TG.VAL.TOTL.GG.ZS
#> 29255 UIS.X.PPPCONST.02.FSGOV
#> 29256 UIS.X.PPPCONST.1.FSGOV
#> 29257 UIS.X.PPPCONST.2.FSGOV
#> 29258 UIS.X.PPPCONST.2T3.FSGOV
#> 29259 UIS.X.PPPCONST.2T4.V.FSGOV
#> 29260 UIS.X.PPPCONST.3.FSGOV
#> 29261 UIS.X.PPPCONST.4.FSGOV
#> 29262 UIS.X.PPPCONST.5T8.FSGOV
#> 29263 UIS.X.PPPCONST.FSGOV
#> 29264 UIS.X.PPPCONST.UK.FSGOV
#> 29275 UIS.X.USCONST.02.FSGOV
#> 29276 UIS.X.USCONST.1.FSGOV
#> 29277 UIS.X.USCONST.2.FSGOV
#> 29278 UIS.X.USCONST.2T3.FSGOV
#> 29279 UIS.X.USCONST.2T4.V.FSGOV
#> 29280 UIS.X.USCONST.3.FSGOV
#> 29281 UIS.X.USCONST.4.FSGOV
#> 29282 UIS.X.USCONST.5T8.FSGOV
#> 29283 UIS.X.USCONST.FSGOV
#> 29284 UIS.X.USCONST.UK.FSGOV
#> 29285 UIS.XGDP.0.FSGOV
#> 29286 UIS.XGDP.1.FSGOV
#> 29287 UIS.XGDP.2.FSGOV
#> 29288 UIS.XGDP.23.FSGOV
#> 29289 UIS.XGDP.2T4.V.FSGOV
#> 29290 UIS.XGDP.3.FSGOV
#> 29291 UIS.XGDP.4.FSGOV
#> 29292 UIS.XGDP.56.FSGOV
#> 29342 UIS.XUNIT.GDPCAP.02.FSGOV
#> 29343 UIS.XUNIT.GDPCAP.1.FSGOV
#> 29344 UIS.XUNIT.GDPCAP.1.FSHH
#> 29345 UIS.XUNIT.GDPCAP.2.FSGOV
#> 29346 UIS.XUNIT.GDPCAP.23.FSGOV
#> 29347 UIS.XUNIT.GDPCAP.23.FSHH
#> 29348 UIS.XUNIT.GDPCAP.3.FSGOV
#> 29349 UIS.XUNIT.GDPCAP.5T8.FSGOV
#> 29350 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)
#> 12909 Real annual labor productivity growth (%)
#> 12923 Real annual sales growth (%)
#> 13092 Information and communication technology expenditure (% of GDP)
#> 13159 Nominal GSDP Per Capita (INR)
#> 13160 Nominal GSDP Per Capita (USD)
#> 13161 Real GSDP Per Capita (INR)
#> 13162 Real GSDP Per Capita (INR) Growth Rate
#> 13163 Real GSDP Per Capita (USD)
#> 13164 Real GSDP Per Capita (USD) Growth Rate
#> 13441 Railways, goods transported (ton-km per PPP $ million of GDP)
#> 13443 Railways, passenger-km (per PPP $ million of GDP)
#> 13551 Telecommunications revenue (% GDP)
#> 15559 Sustainable Economic Opportunity
#> 15583 Military expenditure (% of GDP)
#> 15588 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15589 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15590 GDP on Agriculture Sector (in IDR Million), Current Price
#> 15591 GDP on Agriculture Sector (in IDR Million), Constant Price
#> 15592 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Current Price
#> 15593 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Constant Price
#> 15594 GDP on Business Services Sector (in IDR Million), SNA 2008, Current Price
#> 15595 GDP on Business Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15596 GDP on Construction Sector (in IDR Million), Current Price
#> 15597 GDP on Construction Sector (in IDR Million), Constant Price
#> 15598 GDP on Construction Sector (in IDR Million), SNA 2008, Current Price
#> 15599 GDP on Construction Sector (in IDR Million), SNA 2008, Constant Price
#> 15600 GDP on Education Services Sector (in IDR Million), SNA 2008, Current Price
#> 15601 GDP on Education Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15602 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Current Price
#> 15603 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Constant Price
#> 15604 Total GDP excluding Oil and Gas (in IDR Million), Current Price
#> 15605 Total GDP excluding Oil and Gas (in IDR Million), Constant Price
#> 15606 GDP on Financial Service Sector (in IDR Million), Current Price
#> 15607 GDP on Financial Service Sector (in IDR Million), Constant Price
#> 15608 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15609 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15610 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15611 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15612 Total GDP including Oil and Gas (in IDR Million), Current Price
#> 15613 Total GDP including Oil and Gas (in IDR Million), Constant Price
#> 15614 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Current Price
#> 15615 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Constant Price
#> 15616 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Current Price
#> 15617 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Constant Price
#> 15618 GDP on Mining and Quarrying Sector (in IDR Million), Current Price
#> 15619 GDP on Mining and Quarrying Sector (in IDR Million), Constant Price
#> 15620 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Current Price
#> 15621 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Constant Price
#> 15622 GDP on Manufacturing Sector (in IDR Million), Current Price
#> 15623 GDP on Manufacturing Sector (in IDR Million), Constant Price
#> 15624 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Current Price
#> 15625 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Constant Price
#> 15626 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Current Price
#> 15627 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Constant Price
#> 15628 GDP on Real Estate Sector (in IDR Million), SNA 2008, Current Price
#> 15629 GDP on Real Estate Sector (in IDR Million), SNA 2008, Constant Price
#> 15630 GDP on Other Service Sector (in IDR Million), Current Price
#> 15631 GDP on Other Service Sector (in IDR Million), Constant Price
#> 15632 GDP on Other Services Sector (in IDR Million), SNA 2008, Current Price
#> 15633 GDP on Other Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15634 GDP on Transportation and Telecommunication Sector (in IDR Million), Current Price
#> 15635 GDP on Transportation and Telecommunication Sector (in IDR Million), Constant Price
#> 15636 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Current Price
#> 15637 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Constant Price
#> 15638 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Current Price
#> 15639 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Constant Price
#> 15640 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Current Price
#> 15641 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Constant Price
#> 15642 GDP on Utilities Sector (in IDR Million), Current Price
#> 15643 GDP on Utilities Sector (in IDR Million), Constant Price
#> 15644 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Current Price
#> 15645 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Constant Price
#> 15654 General government final consumption expenditure (% of GDP)
#> 15656 Households and NPISHs Final consumption expenditure per capita, PPP (current international $)
#> 15657 Households and NPISHs Final consumption expenditure per capita, PPP (constant 2021 international $)
#> 15667 Household final consumption expenditure, etc. (% of GDP)
#> 15682 Households and NPISHs Final consumption expenditure, PPP (current international $)
#> 15683 Households and NPISHs Final consumption expenditure, PPP (constant 2021 international $)
#> 15684 Households and NPISHs final consumption expenditure (% of GDP)
#> 15694 Final consumption expenditure, etc. (% of GDP)
#> 15702 Total consumption: contribution to growth of GDP (%)
#> 15703 Final consumption expenditure (% of GDP)
#> 15713 Gross national expenditure (% of GDP)
#> 15725 Exports of goods and services (% of GDP)
#> 15727 GDP expenditure on general government consumption (in IDR Million)
#> 15728 GDP expenditure on general government consumption (in IDR Million), SNA 2008, Current Price
#> 15729 GDP expenditure on non profit private institution consumption (in IDR Million)
#> 15730 GDP expenditure on non profit private institution consumption (in IDR Million), SNA 2008, Current Price
#> 15731 GDP expenditure on private consumption (in IDR Million)
#> 15732 GDP expenditure on private consumption (in IDR Million), SNA 2008, Current Price
#> 15733 GDP expenditure on exports (in IDR Million)
#> 15734 GDP expenditure on exports (in IDR Million), SNA 2008, Current Price
#> 15759 Gross fixed capital formation, private sector (% of GDP)
#> 15764 Gross public investment (% of GDP)
#> 15767 GDP expenditure on gross fixed capital formation (in IDR Million)
#> 15774 GDP expenditure on gross fixed capital formation (in IDR Million), SNA 2008, Current Price
#> 15775 Gross fixed capital formation (% of GDP)
#> 15776 GDP expenditure on imports (in IDR Million)
#> 15777 GDP expenditure on imports (in IDR Million), SNA 2008, Current Price
#> 15778 GDP expenditure on inter-region net exports (in IDR Million), SNA 2008, Current Price
#> 15783 GDP expenditure on changes in stock (in IDR Million)
#> 15787 GDP expenditure on changes in stock (in IDR Million), SNA 2008, Current Price
#> 15796 Total GDP based on expenditure (in IDR Million)
#> 15803 Total GDP based on expenditure (in IDR Million), SNA 2008, Current Price
#> 15804 Gross domestic investment: contr. to growth of GDP(%)
#> 15805 Gross capital formation (% of GDP)
#> 15815 Imports of goods and services (% of GDP)
#> 15816 Merchandise trade to GDP ratio (%)
#> 15822 Resource balance: contribution to growth of GDP (%)
#> 15823 External balance on goods and services (% of GDP)
#> 15826 Trade (% of GDP)
#> 15890 Agriculture: contribution to growth of GDP (%)
#> 15894 Industry: contribution to growth of GDP (%)
#> 15900 Services: contribution to growth of GDP (%)
#> 15908 Real agricultural GDP per capita growth rate (%)
#> 15918 Real agricultural GDP growth rates (%)
#> 15919 Agriculture, forestry, and fishing, value added (% of GDP)
#> 15939 Manufacturing, value added (% of GDP)
#> 15953 Industry: contribution to growth of GDP (%)
#> 15954 Industry (including construction), value added (% of GDP)
#> 15972 Discrepancy in GDP, value added (current US$)
#> 15973 Discrepancy in GDP, value added (current LCU)
#> 15974 Discrepancy in GDP, value added (constant LCU)
#> 15991 Services: contribution to growth of GDP (%)
#> 15992 Services, etc., value added (% of GDP)
#> 15998 Services, value added (% of GDP)
#> 16009 Human capital per capita, female (real chained 2019 US$)
#> 16011 Human capital, female (real chained 2019 US$)
#> 16013 Human capital per capita, male (real chained 2019 US$)
#> 16015 Human capital, male (real chained 2019 US$)
#> 16017 Human capital per capita (real chained 2019 US$)
#> 16019 Human capital (real chained 2019 US$)
#> 16021 Renewable natural capital per capita, agricultural land (real chained 2019 US$)
#> 16023 Renewable natural capital, agricultural land (real chained 2019 US$)
#> 16027 Renewable natural capital per capita, fisheries (real chained 2019 US$)
#> 16029 Renewable natural capital, fisheries (real chained 2019 US$)
#> 16043 Renewable natural capital per capita, timber (real chained 2019 US$)
#> 16045 Renewable natural capital, timber (real chained 2019 US$)
#> 16051 Renewable natural capital per capita, mangroves (real chained 2019 US$)
#> 16053 Renewable natural capital, mangroves (real chained 2019 US$)
#> 16071 Nonrenewable natural capital per capita, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16073 Nonrenewable natural capital, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16113 Nonrenewable natural capital per capita, coal (real chained 2019 US$)
#> 16115 Nonrenewable natural capital, coal (real chained 2019 US$)
#> 16117 Nonrenewable natural capital per capita, natural gas (real chained 2019 US$)
#> 16119 Nonrenewable natural capital, natural gas (real chained 2019 US$)
#> 16121 Nonrenewable natural capital per capita, oil (real chained 2019 US$)
#> 16123 Nonrenewable natural capital, oil (real chained 2019 US$)
#> 16125 Nonrenewable natural capital per capita, total (real chained 2019 US$)
#> 16127 Nonrenewable natural capital, total (real chained 2019 US$)
#> 16133 Foreign assets per capita (real chained 2019 US$)
#> 16135 Foreign assets (real chained 2019 US$)
#> 16141 Produced capital per capita (real chained 2019 US$)
#> 16144 Produced capital (real chained 2019 US$)
#> 16147 National comprehensive wealth per capita index (real chained 2019 US$)
#> 16149 National comprehensive wealth index (real chained 2019 US$)
#> 16181 Agricultural support estimate (% of GDP)
#> 16185 Coal rents (% of GDP)
#> 16186 Inflation, GDP deflator (annual %)
#> 16187 Inflation, GDP deflator (annual %)
#> 16188 Inflation, GDP deflator: linked series (annual %)
#> 16189 GDP deflator (base year varies by country)
#> 16190 GDP deflator (1987 = 100)
#> 16191 GDP deflator: linked series (base year varies by country)
#> 16192 Discrepancy in expenditure estimate of GDP (current US$)
#> 16193 Discrepancy in expenditure estimate of GDP (current LCU)
#> 16194 Discrepancy in expenditure estimate of GDP (constant LCU)
#> 16195 Gross value added at basic prices (GVA) (current US$)
#> 16196 Gross value added at basic prices (GVA) (current LCU)
#> 16197 Gross value added at basic prices (GVA) (constant 2015 US$)
#> 16198 GDP at factor cost (constant 1987 US$)
#> 16199 Gross value added at basic prices (GVA) (constant LCU)
#> 16200 GDP at factor cost (constant 1987 LCU)
#> 16201 Forest rents (% of GDP)
#> 16202 Mineral rents (% of GDP)
#> 16203 GDP (current US$)
#> 16204 GDP deflator, index (2000=100; US$ series)
#> 16205 GDP (current LCU)
#> 16206 GDP: linked series (current LCU)
#> 16207 GDP deflator, period average (LCU index 2000=100)
#> 16208 GDP Deflator
#> 16209 GDP (constant 2015 US$)
#> 16210 GDP at market prices (constant 1987 US$)
#> 16211 GDP growth (annual %)
#> 16212 GDP (constant LCU)
#> 16213 GDP at market prices (constant 1987 LCU)
#> 16214 GDP growth (annual %)
#> 16215 GDP, PPP (current international $)
#> 16216 GDP, PPP (constant 2021 international $)
#> 16217 GDP, PPP (constant 1987 international $)
#> 16218 GDP deflator (1987=100,Index)
#> 16219 GDP deflator, end period (base year varies by country)
#> 16220 Gross domestic product (Av. annual growth, %)
#> 16221 Natural gas rents (% of GDP)
#> 16222 GDP per capita (current US$)
#> 16223 GDP per capita (current LCU)
#> 16224 GDP per capita (constant 2015 US$)
#> 16225 GDP per capita growth (annual %)
#> 16226 GDP per capita (constant LCU)
#> 16227 GDP per capita, PPP (current international $)
#> 16228 GDP per capita, PPP (constant 2021 international $)
#> 16229 GDP per capita, PPP (constant 1987 international $)
#> 16230 GDP per capita, PPP annual growth (%)
#> 16231 Oil rents (% of GDP)
#> 16232 Total natural resources rents (% of GDP)
#> 16239 Gross domestic savings (current US$)
#> 16240 Gross domestic savings (current LCU)
#> 16241 Gross domestic savings, total (constant 2000 US$)
#> 16243 Gross domestic savings (constant LCU)
#> 16245 Gross domestic savings (% of GDP)
#> 16246 Gross domestic income (constant 2005 US$)
#> 16248 Gross domestic income (constant LCU)
#> 16250 Genuine savings: education expenditure (% of GDP)
#> 16251 Genuine savings: carbon dioxide damage (% of GDP)
#> 16252 Genuine savings: net forest depletion (% of GDP)
#> 16253 Genuine savings: consumption of fixed capital (% of GDP)
#> 16254 Genuine savings: mineral depletion (% of GDP)
#> 16255 Genuine savings: energy depletion (% of GDP)
#> 16256 Genuine savings: net domestic savings (% of GDP)
#> 16257 Genuine domestic savings (% of GDP)
#> 16269 GNI, PPP (current international $)
#> 16270 GNI, PPP (constant 2021 international $)
#> 16280 GNI per capita, PPP (current international $)
#> 16281 GNI per capita, PPP (constant 2021 international $)
#> 16290 Gross savings (% of GDP)
#> 16328 GDP growth, constant (average 2010-19 prices and exchange rates)
#> 16329 GDP,current US$,millions,seas. adj.,
#> 16330 GDP,current LCU,millions,seas. adj.,
#> 16331 GDP,constant 2010 US$,millions,seas. adj.,
#> 16332 GDP,constant 2010 LCU,millions,seas. adj.,
#> 16408 Price level index (GDP)
#> 16409 PPP conversion factor, GDP (LCU per international $)
#> 16410 2005 PPP conversion factor, GDP (LCU per international $)
#> 16411 Price level ratio of PPP conversion factor (GDP) to market exchange rate
#> 16413 PPP conversion factor, households and NPISHs Final consumption expenditure (LCU per international $)
#> 16472 World Bank: Share of GDP for central government expenditures on education (%)
#> 16480 World Bank: Public capital expenditure on education as % of GDP
#> 16505 World Bank: Public education expenditure per student (% of GDP per capita)
#> 16527 World Bank: Public recurrent expenditure on education (% of GDP)
#> 16536 World Bank: Education salary expenditures as a % of GDP
#> 16545 World Bank: Share of GDP for subnational government expenditures on education (%)
#> 16550 World Bank: Ratio of Teacher Salaries to per capita GDP
#> 16552 World Bank: Total education expenditure as % of GDP
#> 16553 World Bank: Total public education expenditure as % of GDP
#> 16566 World Bank: Share of GDP for education expenditures on basic education (%)
#> 16582 World Bank: Public education expenditure per student (% of GDP per capita), basic
#> 16601 World Bank: Ratio of Teacher Salaries to per capita GDP, basic education
#> 16612 World Bank: Share of GDP lost through inefficiencies (%)
#> 16613 World Bank: Share of GDP potentially saved with improved targeting of education subsidies (%)
#> 16615 World Bank: Share of GDP potentially saved with improved pupil/teacher ratios (%)
#> 16649 World Bank: Public education expenditure per student (% of GDP per capita), junior secondary
#> 16666 World Bank: Ratio of Teacher Salaries to per capita GDP, junior secondary
#> 16682 World Bank: School Feeding Programs (% of GDP)
#> 16763 World Bank: Central Government Transfers for education (% of GDP)
#> 16787 World Bank: Share of GDP for education expenditures on pre-primary education (%)
#> 16792 World Bank: Public education expenditure per student (% of GDP per capita), pre-primary
#> 16842 World Bank: Share of GDP for education expenditures on primary education (%)
#> 16859 World Bank: Public education expenditure per student (% of GDP per capita), primary
#> 16881 World Bank: Primary recurrent expenditures as a share of GDP (%)
#> 16885 World Bank: Ratio of Teacher Salaries to per capita GDP, primary
#> 16937 World Bank: Share of GDP for education expenditures on secondary education (%)
#> 16953 World Bank: Public education expenditure per student (% of GDP per capita), secondary
#> 16976 World Bank: Secondary recurrent expenditures as a share of GDP (%)
#> 16980 World Bank: Ratio of Teacher Salaries to per capita GDP, secondary
#> 17048 World Bank: Total education expenditure from public sources (% of GDP)
#> 17108 World Bank: Total education expenditures from international sources as a % of GDP
#> 17129 World Bank: Total private expenditure on education (% of GDP)
#> 17130 World Bank: Total private expenditure on pre-primary education (% of GDP)
#> 17131 World Bank: Total private expenditure on primary education (% of GDP)
#> 17132 World Bank: Total private expenditure on secondary education (% of GDP)
#> 17133 World Bank: Total private expenditure on tertiary education (% of GDP)
#> 17188 World Bank: Public education expenditure per student (% of GDP per capita), senior secondary
#> 17205 World Bank: Ratio of Teacher Salaries to per capita GDP, senior secondary
#> 17237 World Bank: Share of GDP for education expenditures on tertiary education (%)
#> 17245 World Bank: Public education expenditure per student (% of GDP per capita), tertiary
#> 17265 World Bank: Tertiary recurrent expenditures as a share of GDP (%)
#> 17269 World Bank: Ratio of Teacher Salaries to per capita GDP, tertiary
#> 17292 World Bank: Public education expenditure per student (% of GDP per capita), teacher training
#> 17307 World Bank: Share of GDP for education expenditures on technical/vocational education (%)
#> 17312 World Bank: Public education expenditure per student (% of GDP per capita), technical/vocational education
#> 21508 Total General Allocation Grant/DAU (in IDR)
#> 24331 (Financing) - Does the country spend 4-5% of GDP or 15-20% of public expenditures on education spending?
#> 24704 (De Facto) Average principal salary as percent of GDP per capita
#> 24768 (De Jure) Average starting public-school teacher salary as percent of GDP per capita
#> 24995 Public Expenditure on Education (% GDP)
#> 25000 Public spending on education, primary (% of GDP)
#> 25001 Government expenditure per student, primary (% of GDP per capita)
#> 25004 Public spending on education, secondary (% of GDP)
#> 25005 Government expenditure per student, secondary (% of GDP per capita)
#> 25009 Public spending on education, tertiary (% of GDP)
#> 25010 Government expenditure per student, tertiary (% of GDP per capita)
#> 25013 Government expenditure on education, total (% of GDP)
#> 25033 Rail traffic (km per million US$ GDP)
#> 25913 Maternal mortality ratio (modeled estimate, per 100,000 live births)
#> 26057 Current health expenditure (% of GDP)
#> 26066 Domestic general government health expenditure (% of GDP)
#> 26070 Public Expenditure on Health (% GDP)
#> 26071 Capital health expenditure (% of GDP)
#> 26083 Health expenditure, private (% of GDP)
#> 26086 Health expenditure, public (% of GDP)
#> 26092 Health expenditure, total (% of GDP)
#> 26266 GDP per person employed (constant 2021 PPP $)
#> 26267 GDP per person employed (annual % growth)
#> 26268 GDP per person employed, index (1980 = 100)
#> 27004 Classification of national industry
#> 27006 Classification of household consumption
#> 27011 Finance Indicator based on PARIS21 indicators on SDG 17.18.3 & SDG 17.19.1
#> 27046 Trade (% of GDP, PPP)
#> 27047 Merchandise trade (% of GDP)
#> 27048 Trade in goods (% of goods GDP)
#> 29255 Government expenditure on pre-primary education, constant PPP$ (millions)
#> 29256 Government expenditure on primary education, constant PPP$ (millions)
#> 29257 Government expenditure on lower secondary education, constant PPP$ (millions)
#> 29258 Government expenditure on secondary education, constant PPP$ (millions)
#> 29259 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant PPP$ (millions)
#> 29260 Government expenditure on upper secondary education, constant PPP$ (millions)
#> 29261 Government expenditure on post-secondary non-tertiary education, constant PPP$ (millions)
#> 29262 Government expenditure on tertiary education, constant PPP$ (millions)
#> 29263 Government expenditure on education, constant PPP$ (millions)
#> 29264 Government expenditure on education not specified by level, constant PPP$ (millions)
#> 29275 Government expenditure on pre-primary education, constant US$ (millions)
#> 29276 Government expenditure on primary education, constant US$ (millions)
#> 29277 Government expenditure on lower secondary education, constant US$ (millions)
#> 29278 Government expenditure on secondary education, constant US$ (millions)
#> 29279 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant US$ (millions)
#> 29280 Government expenditure on upper secondary education, constant US$ (millions)
#> 29281 Government expenditure on post-secondary non-tertiary education, constant US$ (millions)
#> 29282 Government expenditure on tertiary education, constant US$ (millions)
#> 29283 Government expenditure on education, constant US$ (millions)
#> 29284 Government expenditure on education not specified by level, constant US$ (millions)
#> 29285 Government expenditure on pre-primary education as % of GDP (%)
#> 29286 Government expenditure on primary education as % of GDP (%)
#> 29287 Government expenditure on lower secondary education as a percentage of GDP (%)
#> 29288 Government expenditure on secondary education as % of GDP (%)
#> 29289 Government expenditure on secondary and post-secondary non-tertiary vocational education as % of GDP (%)
#> 29290 Government expenditure on upper secondary education as a percentage of GDP (%)
#> 29291 Government expenditure on post-secondary non-tertiary education as % of GDP (%)
#> 29292 Government expenditure on tertiary education as % of GDP (%)
#> 29342 Initial government funding per pre-primary student as a percentage of GDP per capita
#> 29343 Initial government funding per primary student as a percentage of GDP per capita
#> 29344 Initial household funding per primary student as a percentage of GDP per capita
#> 29345 Initial government funding per lower secondary student as a percentage of GDP per capita
#> 29346 Initial government funding per secondary student as a percentage of GDP per capita
#> 29347 Initial household funding per secondary student as a percentage of GDP per capita
#> 29348 Initial government funding per upper secondary student as a percentage of GDP per capita
#> 29349 Initial government funding per tertiary student as a percentage of GDP per capita
#> 29350 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
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#> 16953 <NA> 12 Education Statistics
#> 16976 <NA> 12 Education Statistics
#> 16980 <NA> 12 Education Statistics
#> 17048 <NA> 12 Education Statistics
#> 17108 <NA> 12 Education Statistics
#> 17129 <NA> 12 Education Statistics
#> 17130 <NA> 12 Education Statistics
#> 17131 <NA> 12 Education Statistics
#> 17132 <NA> 12 Education Statistics
#> 17133 <NA> 12 Education Statistics
#> 17188 <NA> 12 Education Statistics
#> 17205 <NA> 12 Education Statistics
#> 17237 <NA> 12 Education Statistics
#> 17245 <NA> 12 Education Statistics
#> 17265 <NA> 12 Education Statistics
#> 17269 <NA> 12 Education Statistics
#> 17292 <NA> 12 Education Statistics
#> 17307 <NA> 12 Education Statistics
#> 17312 <NA> 12 Education Statistics
#> 21508 <NA> 45 Indonesia Database for Policy and Economic Research
#> 24331 <NA> 84 Education Policy
#> 24704 <NA> 12 Education Statistics
#> 24768 <NA> 12 Education Statistics
#> 24995 <NA> 57 WDI Database Archives
#> 25000 <NA> 57 WDI Database Archives
#> 25001 <NA> 2 World Development Indicators
#> 25004 <NA> 57 WDI Database Archives
#> 25005 <NA> 2 World Development Indicators
#> 25009 <NA> 57 WDI Database Archives
#> 25010 <NA> 2 World Development Indicators
#> 25013 <NA> 2 World Development Indicators
#> 25033 <NA> 57 WDI Database Archives
#> 25913 <NA> 2 World Development Indicators
#> 26057 <NA> 2 World Development Indicators
#> 26066 <NA> 2 World Development Indicators
#> 26070 <NA> 57 WDI Database Archives
#> 26071 <NA> 16 Health Nutrition and Population Statistics
#> 26083 <NA> 57 WDI Database Archives
#> 26086 <NA> 57 WDI Database Archives
#> 26092 <NA> 57 WDI Database Archives
#> 26266 <NA> 2 World Development Indicators
#> 26267 <NA> 11 Africa Development Indicators
#> 26268 <NA> 57 WDI Database Archives
#> 27004 <NA> 83 Statistical Performance Indicators (SPI)
#> 27006 <NA> 83 Statistical Performance Indicators (SPI)
#> 27011 <NA> 83 Statistical Performance Indicators (SPI)
#> 27046 <NA> 57 WDI Database Archives
#> 27047 <NA> 2 World Development Indicators
#> 27048 <NA> 57 WDI Database Archives
#> 29255 <NA> 12 Education Statistics
#> 29256 <NA> 12 Education Statistics
#> 29257 <NA> 12 Education Statistics
#> 29258 <NA> 12 Education Statistics
#> 29259 <NA> 12 Education Statistics
#> 29260 <NA> 12 Education Statistics
#> 29261 <NA> 12 Education Statistics
#> 29262 <NA> 12 Education Statistics
#> 29263 <NA> 12 Education Statistics
#> 29264 <NA> 12 Education Statistics
#> 29275 <NA> 12 Education Statistics
#> 29276 <NA> 12 Education Statistics
#> 29277 <NA> 12 Education Statistics
#> 29278 <NA> 12 Education Statistics
#> 29279 <NA> 12 Education Statistics
#> 29280 <NA> 12 Education Statistics
#> 29281 <NA> 12 Education Statistics
#> 29282 <NA> 12 Education Statistics
#> 29283 <NA> 12 Education Statistics
#> 29284 <NA> 12 Education Statistics
#> 29285 <NA> 12 Education Statistics
#> 29286 <NA> 12 Education Statistics
#> 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
#> 29342 <NA> 12 Education Statistics
#> 29343 <NA> 12 Education Statistics
#> 29344 <NA> 12 Education Statistics
#> 29345 <NA> 12 Education Statistics
#> 29346 <NA> 12 Education Statistics
#> 29347 <NA> 12 Education Statistics
#> 29348 <NA> 12 Education Statistics
#> 29349 <NA> 12 Education Statistics
#> 29350 <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 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 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\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.
#> 12909 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.
#> 12923 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.
#> 13092 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.
#> 13159 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.
#> 13160 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.
#> 13161 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.
#> 13162 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.
#> 13163 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.
#> 13164 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.
#> 13441 <NA>
#> 13443 <NA>
#> 13551 Telecommunications revenue is the revenue from the provision of telecommunications services such as fixed-line, mobile, and data.
#> 15559 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.
#> 15583 Military expenditure by country as percentage of gross domestic product
#> 15588 <NA>
#> 15589 <NA>
#> 15590 <NA>
#> 15591 <NA>
#> 15592 <NA>
#> 15593 <NA>
#> 15594 <NA>
#> 15595 <NA>
#> 15596 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.
#> 15597 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.
#> 15598 <NA>
#> 15599 <NA>
#> 15600 <NA>
#> 15601 <NA>
#> 15602 <NA>
#> 15603 <NA>
#> 15604 <NA>
#> 15605 <NA>
#> 15606 <NA>
#> 15607 <NA>
#> 15608 <NA>
#> 15609 <NA>
#> 15610 <NA>
#> 15611 <NA>
#> 15612 <NA>
#> 15613 <NA>
#> 15614 <NA>
#> 15615 <NA>
#> 15616 <NA>
#> 15617 <NA>
#> 15618 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).
#> 15619 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).
#> 15620 <NA>
#> 15621 <NA>
#> 15622 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.
#> 15623 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.
#> 15624 <NA>
#> 15625 <NA>
#> 15626 <NA>
#> 15627 <NA>
#> 15628 <NA>
#> 15629 <NA>
#> 15630 <NA>
#> 15631 <NA>
#> 15632 <NA>
#> 15633 <NA>
#> 15634 <NA>
#> 15635 <NA>
#> 15636 <NA>
#> 15637 <NA>
#> 15638 <NA>
#> 15639 <NA>
#> 15640 <NA>
#> 15641 <NA>
#> 15642 <NA>
#> 15643 <NA>
#> 15644 <NA>
#> 15645 <NA>
#> 15654 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.
#> 15656 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.
#> 15657 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.
#> 15667 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.
#> 15682 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.
#> 15683 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.
#> 15684 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.
#> 15694 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.
#> 15702 <NA>
#> 15703 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.
#> 15713 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.
#> 15725 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.
#> 15727 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.
#> 15728 <NA>
#> 15729 <NA>
#> 15730 <NA>
#> 15731 <NA>
#> 15732 <NA>
#> 15733 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.
#> 15734 <NA>
#> 15759 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.
#> 15764 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.
#> 15767 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.
#> 15774 <NA>
#> 15775 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 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.
#> 15777 <NA>
#> 15778 <NA>
#> 15783 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.
#> 15787 <NA>
#> 15796 <NA>
#> 15803 <NA>
#> 15804 <NA>
#> 15805 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.
#> 15815 Imports of goods includes change in the economic ownership of goods from non-residents to\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.
#> 15816 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.
#> 15822 <NA>
#> 15823 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.
#> 15826 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.
#> 15890 <NA>
#> 15894 <NA>
#> 15900 <NA>
#> 15908 The growth rate of real per capita GDP in agriculture, expressed at an annual rate.
#> 15918 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.
#> 15919 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.
#> 15939 Manufacturing includes industries classified in ISIC (Rev. 3) major division C and is defined as the physical or chemical tranformation 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.
#> 15953 <NA>
#> 15954 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.
#> 15972 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.
#> 15973 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.
#> 15974 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.
#> 15991 <NA>
#> 15992 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.
#> 15998 Services industries correspond to ISIC (Rev. 4) divisions 45-99 and includes wholesale and retail trade, repair of motor vehicles, hotels and retaurants, 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.
#> 16009 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.
#> 16011 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.
#> 16013 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.
#> 16015 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.
#> 16017 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.
#> 16019 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.
#> 16021 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.
#> 16023 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.
#> 16027 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.
#> 16029 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.
#> 16043 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.
#> 16045 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.
#> 16051 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.
#> 16053 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.
#> 16071 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.
#> 16073 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.
#> 16113 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.
#> 16115 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.
#> 16117 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.
#> 16119 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.
#> 16121 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.
#> 16123 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.
#> 16133 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.
#> 16135 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.
#> 16141 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.
#> 16144 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.
#> 16147 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.
#> 16149 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.
#> 16181 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.
#> 16185 Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production.
#> 16186 <NA>
#> 16187 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.
#> 16188 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.
#> 16189 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).
#> 16190 <NA>
#> 16191 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).
#> 16192 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.
#> 16193 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.
#> 16194 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.
#> 16195 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.
#> 16196 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.
#> 16197 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.
#> 16198 <NA>
#> 16199 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.
#> 16200 <NA>
#> 16201 Forest rents are roundwood harvest times the product of regional prices and a regional rental rate.
#> 16202 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.
#> 16203 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.
#> 16204 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.
#> 16205 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.
#> 16206 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.
#> 16207 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.
#> 16208 <NA>
#> 16209 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.
#> 16210 <NA>
#> 16211 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.
#> 16212 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.
#> 16213 <NA>
#> 16214 <NA>
#> 16215 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.
#> 16216 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.
#> 16217 <NA>
#> 16218 <NA>
#> 16219 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.
#> 16220 <NA>
#> 16221 Natural gas rents are the difference between the value of natural gas production at regional prices and total costs of production.
#> 16222 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.
#> 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. 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.
#> 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. 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.
#> 16225 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.
#> 16226 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.
#> 16227 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.
#> 16228 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.
#> 16229 <NA>
#> 16230 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.
#> 16231 Oil rents are the difference between the value of crude oil production at regional prices and total costs of production.
#> 16232 Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.
#> 16239 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.
#> 16240 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.
#> 16241 Gross domestic savings are calculated as the difference between GDP and total consumption. Data are in constant 2000 U.S. dollars.
#> 16243 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in constant local currency.
#> 16245 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.
#> 16246 Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant 2010 U.S. dollars.
#> 16248 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.
#> 16250 <NA>
#> 16251 <NA>
#> 16252 <NA>
#> 16253 <NA>
#> 16254 <NA>
#> 16255 <NA>
#> 16256 <NA>
#> 16257 <NA>
#> 16269 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.
#> 16270 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.
#> 16280 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.
#> 16281 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.
#> 16290 Savings is an amount that represent the part of disposable income (adjusted for the\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.
#> 16328 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.
#> 16329 <NA>
#> 16330 <NA>
#> 16331 <NA>
#> 16332 <NA>
#> 16408 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.
#> 16409 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.
#> 16410 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.
#> 16411 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.
#> 16413 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.
#> 16472 <NA>
#> 16480 <NA>
#> 16505 <NA>
#> 16527 <NA>
#> 16536 <NA>
#> 16545 <NA>
#> 16550 <NA>
#> 16552 <NA>
#> 16553 <NA>
#> 16566 <NA>
#> 16582 <NA>
#> 16601 <NA>
#> 16612 <NA>
#> 16613 <NA>
#> 16615 <NA>
#> 16649 <NA>
#> 16666 <NA>
#> 16682 <NA>
#> 16763 <NA>
#> 16787 <NA>
#> 16792 <NA>
#> 16842 <NA>
#> 16859 <NA>
#> 16881 <NA>
#> 16885 <NA>
#> 16937 <NA>
#> 16953 <NA>
#> 16976 <NA>
#> 16980 <NA>
#> 17048 <NA>
#> 17108 <NA>
#> 17129 <NA>
#> 17130 <NA>
#> 17131 <NA>
#> 17132 <NA>
#> 17133 <NA>
#> 17188 <NA>
#> 17205 <NA>
#> 17237 <NA>
#> 17245 <NA>
#> 17265 <NA>
#> 17269 <NA>
#> 17292 <NA>
#> 17307 <NA>
#> 17312 <NA>
#> 21508 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.
#> 24331 <NA>
#> 24704 <NA>
#> 24768 <NA>
#> 24995 <NA>
#> 25000 <NA>
#> 25001 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.
#> 25004 <NA>
#> 25005 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.
#> 25009 <NA>
#> 25010 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.
#> 25013 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.
#> 25033 <NA>
#> 25913 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).
#> 26057 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.
#> 26066 Public expenditure on health from domestic sources as a share of the economy as measured by GDP.
#> 26070 <NA>
#> 26071 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.
#> 26083 Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.
#> 26086 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.
#> 26092 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.
#> 26266 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.
#> 26267 GDP per person employed is gross domestic product (GDP) divided by total employment in the economy.
#> 26268 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.
#> 27004 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.
#> 27006 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.
#> 27011 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.
#> 27046 <NA>
#> 27047 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.
#> 27048 <NA>
#> 29255 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/
#> 29256 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/
#> 29257 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/
#> 29258 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/
#> 29259 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/
#> 29260 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/
#> 29261 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/
#> 29262 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/
#> 29263 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/
#> 29264 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/
#> 29275 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/
#> 29276 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/
#> 29277 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/
#> 29278 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/
#> 29279 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/
#> 29280 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/
#> 29281 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/
#> 29282 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/
#> 29283 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/
#> 29284 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/
#> 29285 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/
#> 29286 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/
#> 29287 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/
#> 29288 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/
#> 29289 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/
#> 29290 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/
#> 29291 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/
#> 29292 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/
#> 29342 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/
#> 29343 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/
#> 29344 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/
#> 29345 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/
#> 29346 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/
#> 29347 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/
#> 29348 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/
#> 29349 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/
#> 29350 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
#> 12909 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 12923 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 13092 World Information Technology and Services Alliance, Digital Planet: The Global Information Economy, and Global Insight, Inc.
#> 13159 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13160 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13161 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13162 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13163 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13164 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 13441 <NA>
#> 13443 <NA>
#> 13551 International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.
#> 15559 Mo Ibrahim Foundation, electronic files and web site.
#> 15583 SIPRI Military Expenditure Database, Stockholm International Peace Research Institute (SIPRI), uri: https://www.sipri.org/databases
#> 15588 <NA>
#> 15589 <NA>
#> 15590 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15591 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15592 <NA>
#> 15593 <NA>
#> 15594 <NA>
#> 15595 <NA>
#> 15596 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15597 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15598 <NA>
#> 15599 <NA>
#> 15600 <NA>
#> 15601 <NA>
#> 15602 <NA>
#> 15603 <NA>
#> 15604 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15605 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15606 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15607 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15608 <NA>
#> 15609 <NA>
#> 15610 <NA>
#> 15611 <NA>
#> 15612 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15613 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15614 <NA>
#> 15615 <NA>
#> 15616 <NA>
#> 15617 <NA>
#> 15618 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15619 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15620 <NA>
#> 15621 <NA>
#> 15622 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15623 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15624 <NA>
#> 15625 <NA>
#> 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 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15639 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15640 <NA>
#> 15641 <NA>
#> 15642 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15643 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15644 <NA>
#> 15645 <NA>
#> 15654 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)
#> 15656 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.
#> 15657 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.
#> 15667 World Bank national accounts data, and OECD National Accounts data files.
#> 15682 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)
#> 15683 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)
#> 15684 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)
#> 15694 World Bank national accounts data, and OECD National Accounts data files.
#> 15702 <NA>
#> 15703 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)
#> 15713 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)
#> 15727 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15728 <NA>
#> 15729 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15730 <NA>
#> 15731 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15732 <NA>
#> 15733 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15734 <NA>
#> 15759 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)
#> 15764 World Bank national accounts data, and OECD National Accounts data files.
#> 15767 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15774 <NA>
#> 15775 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 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15777 <NA>
#> 15778 <NA>
#> 15783 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15787 <NA>
#> 15796 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15803 <NA>
#> 15804 <NA>
#> 15805 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)
#> 15815 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)
#> 15816 World Bank country economists.
#> 15822 <NA>
#> 15823 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)
#> 15826 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)
#> 15890 <NA>
#> 15894 <NA>
#> 15900 <NA>
#> 15908 World Bank country economists.
#> 15918 World Bank country economists.
#> 15919 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)
#> 15939 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)
#> 15953 <NA>
#> 15954 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)
#> 15972 World Bank national accounts data, and OECD National Accounts data files.
#> 15973 World Bank national accounts data, and OECD National Accounts data files.
#> 15974 World Bank national accounts data, and OECD National Accounts data files.
#> 15991 <NA>
#> 15992 World Bank national accounts data, and OECD National Accounts data files.
#> 15998 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)
#> 16009 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.
#> 16011 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.
#> 16013 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.
#> 16015 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.
#> 16017 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.
#> 16019 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.
#> 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.
#> 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.
#> 16043 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.
#> 16045 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.
#> 16051 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.
#> 16053 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.
#> 16071 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.
#> 16073 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.
#> 16113 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.
#> 16115 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.
#> 16117 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.
#> 16119 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.
#> 16121 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.
#> 16123 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.
#> 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.
#> 16141 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.
#> 16144 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.
#> 16149 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.
#> 16181 Organisation for Economic Co-operation and Development, Producer and Consumer Support Estimates database. Available online at www.oecd.org/tad/support/psecse.
#> 16185 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.
#> 16186 <NA>
#> 16187 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)
#> 16188 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)
#> 16189 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)
#> 16190 <NA>
#> 16191 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)
#> 16192 World Bank national accounts data, and OECD National Accounts data files.
#> 16193 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)
#> 16194 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)
#> 16195 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)
#> 16196 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)
#> 16197 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)
#> 16198 <NA>
#> 16199 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)
#> 16200 <NA>
#> 16201 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.
#> 16202 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.
#> 16203 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)
#> 16204 World Bank country economists.
#> 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 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)
#> 16207 World Bank country economists.
#> 16208 <NA>
#> 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 Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16212 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)
#> 16213 <NA>
#> 16214 <NA>
#> 16215 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)
#> 16216 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)
#> 16217 <NA>
#> 16218 <NA>
#> 16219 World Bank national accounts data, and OECD National Accounts data files.
#> 16220 <NA>
#> 16221 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.
#> 16222 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)
#> 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 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)
#> 16226 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)
#> 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;\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)
#> 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 "World Bank, International Comparison Programme database.\r"
#> 16231 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.
#> 16232 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.
#> 16239 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)
#> 16240 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)
#> 16241 World Bank country economists.
#> 16243 World Bank national accounts data, and OECD National Accounts data files.
#> 16245 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)
#> 16246 World Bank national accounts data, and OECD National Accounts data files.
#> 16248 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)
#> 16250 <NA>
#> 16251 <NA>
#> 16252 <NA>
#> 16253 <NA>
#> 16254 <NA>
#> 16255 <NA>
#> 16256 <NA>
#> 16257 <NA>
#> 16269 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)
#> 16270 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)
#> 16280 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)
#> 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)
#> 16290 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)
#> 16328 The World Bank
#> 16329 <NA>
#> 16330 <NA>
#> 16331 <NA>
#> 16332 <NA>
#> 16408 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators
#> 16409 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
#> 16410 World Bank, International Comparison Program database.
#> 16411 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators, type: International database
#> 16413 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
#> 16472 <NA>
#> 16480 <NA>
#> 16505 <NA>
#> 16527 <NA>
#> 16536 <NA>
#> 16545 <NA>
#> 16550 <NA>
#> 16552 <NA>
#> 16553 <NA>
#> 16566 <NA>
#> 16582 <NA>
#> 16601 <NA>
#> 16612 <NA>
#> 16613 <NA>
#> 16615 <NA>
#> 16649 <NA>
#> 16666 <NA>
#> 16682 <NA>
#> 16763 <NA>
#> 16787 <NA>
#> 16792 <NA>
#> 16842 <NA>
#> 16859 <NA>
#> 16881 <NA>
#> 16885 <NA>
#> 16937 <NA>
#> 16953 <NA>
#> 16976 <NA>
#> 16980 <NA>
#> 17048 <NA>
#> 17108 <NA>
#> 17129 <NA>
#> 17130 <NA>
#> 17131 <NA>
#> 17132 <NA>
#> 17133 <NA>
#> 17188 <NA>
#> 17205 <NA>
#> 17237 <NA>
#> 17245 <NA>
#> 17265 <NA>
#> 17269 <NA>
#> 17292 <NA>
#> 17307 <NA>
#> 17312 <NA>
#> 21508 Ministry of Finance, SIKD (Information System for Sub-National Budget) and LKPP (Central Government Financial Report)
#> 24331 <NA>
#> 24704 World Bank, Global Education Policy Dashboard
#> 24768 World Bank, Global Education Policy Dashboard
#> 24995 <NA>
#> 25000 <NA>
#> 25001 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25004 <NA>
#> 25005 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25009 <NA>
#> 25010 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25013 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
#> 25033 <NA>
#> 25913 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
#> 26057 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: https://apps.who.int/nha/database
#> 26066 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: http://apps.who.int/nha/database
#> 26070 <NA>
#> 26071 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 7, 2023.
#> 26083 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26086 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26092 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26266 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)
#> 26267 International Labour Organization, Key Indicators of the Labour Market database.
#> 26268 Derived using data from International Labour Organization, ILOSTAT database. The data retrieved in March 1, 2020.
#> 27004 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27006 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27011 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27046 <NA>
#> 27047 World Trade Organization (WTO);\nWorld Bank GDP estimates, World Bank (WB);\nWorld Development Indicators, World Bank (WB)
#> 27048 <NA>
#> 29255 UNESCO Institute for Statistics
#> 29256 UNESCO Institute for Statistics
#> 29257 UNESCO Institute for Statistics
#> 29258 UNESCO Institute for Statistics
#> 29259 UNESCO Institute for Statistics
#> 29260 UNESCO Institute for Statistics
#> 29261 UNESCO Institute for Statistics
#> 29262 UNESCO Institute for Statistics
#> 29263 UNESCO Institute for Statistics
#> 29264 UNESCO Institute for Statistics
#> 29275 UNESCO Institute for Statistics
#> 29276 UNESCO Institute for Statistics
#> 29277 UNESCO Institute for Statistics
#> 29278 UNESCO Institute for Statistics
#> 29279 UNESCO Institute for Statistics
#> 29280 UNESCO Institute for Statistics
#> 29281 UNESCO Institute for Statistics
#> 29282 UNESCO Institute for Statistics
#> 29283 UNESCO Institute for Statistics
#> 29284 UNESCO Institute for Statistics
#> 29285 UNESCO Institute for Statistics
#> 29286 UNESCO Institute for Statistics
#> 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
#> 29342 UNESCO Institute for Statistics
#> 29343 UNESCO Institute for Statistics
#> 29344 UNESCO Institute for Statistics
#> 29345 UNESCO Institute for Statistics
#> 29346 UNESCO Institute for Statistics
#> 29347 UNESCO Institute for Statistics
#> 29348 UNESCO Institute for Statistics
#> 29349 UNESCO Institute for Statistics
#> 29350 UNESCO Institute for Statistics
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# }