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",
...
)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".- ...
Additional arguments passed to
grepl().
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
#> 2096 BG.GSR.NFSV.GD.ZS
#> 2097 BG.KAC.FNEI.GD.PP.ZS
#> 2098 BG.KAC.FNEI.GD.ZS
#> 2099 BG.KLT.DINV.GD.PP.ZS
#> 2100 BG.KLT.DINV.GD.ZS
#> 2401 BI.WAG.TOTL.GD.ZS
#> 2424 BM.GSR.MRCH.ZS
#> 2436 BM.KLT.DINV.GD.ZS
#> 2437 BM.KLT.DINV.WD.GD.ZS
#> 2450 BN.CAB.XOKA.GD.ZS
#> 2451 BN.CAB.XOKA.GDP.ZS
#> 2454 BN.CAB.XOTR.ZS
#> 2457 BN.CUR.GDPM.ZS
#> 2463 BN.GSR.FCTY.CD.ZS
#> 2472 BN.KLT.DINV.CD.ZS
#> 2474 BN.KLT.DINV.DRS.GDP.ZS
#> 2480 BN.KLT.PRVT.GD.ZS
#> 2491 BN.TRF.CURR.CD.ZS
#> 2540 BX.GSR.MRCH.ZS
#> 2552 BX.KLT.DINV.DT.GD.ZS
#> 2554 BX.KLT.DINV.WD.GD.ZS
#> 2563 BX.TRF.MGR.DT.GD.ZS
#> 2569 BX.TRF.PWKR.DT.GD.ZS
#> 2570 BX.TRF.PWKR.GD.ZS
#> 2867 CC.ENTX.ENE.ZS
#> 2868 CC.ENTX.ENV.ZS
#> 2943 CC.GHG.MEMG.EI
#> 2944 CC.GHG.MEMG.GC
#> 2967 CC.INCP.ALRS
#> 2968 CC.INCP.KRGC
#> 2969 CC.INCP.SPMC
#> 3032 CC.RISK.AST.ZS
#> 3033 CC.RISK.WELL.ZS
#> 3042 CC.SP.EXP.ZS
#> 3135 CM.FIN.INTL.GD.ZS
#> 3138 CM.MKT.LCAP.GD.ZS
#> 3141 CM.MKT.TRAD.GD.ZS
#> 4289 DP.DOD.DECD.CR.BC.Z1
#> 4292 DP.DOD.DECD.CR.CG.Z1
#> 4295 DP.DOD.DECD.CR.FC.Z1
#> 4298 DP.DOD.DECD.CR.GG.Z1
#> 4301 DP.DOD.DECD.CR.NF.Z1
#> 4306 DP.DOD.DECF.CR.BC.Z1
#> 4309 DP.DOD.DECF.CR.CG.Z1
#> 4312 DP.DOD.DECF.CR.FC.Z1
#> 4315 DP.DOD.DECF.CR.GG.Z1
#> 4318 DP.DOD.DECF.CR.NF.Z1
#> 4323 DP.DOD.DECN.CR.BC.Z1
#> 4326 DP.DOD.DECN.CR.CG.Z1
#> 4329 DP.DOD.DECN.CR.FC.Z1
#> 4332 DP.DOD.DECN.CR.GG.Z1
#> 4335 DP.DOD.DECN.CR.NF.Z1
#> 4340 DP.DOD.DECT.CR.BC.Z1
#> 4343 DP.DOD.DECT.CR.CG.Z1
#> 4346 DP.DOD.DECT.CR.FC.Z1
#> 4349 DP.DOD.DECT.CR.GG.Z1
#> 4352 DP.DOD.DECT.CR.NF.Z1
#> 4357 DP.DOD.DECX.CR.BC.Z1
#> 4360 DP.DOD.DECX.CR.CG.Z1
#> 4363 DP.DOD.DECX.CR.FC.Z1
#> 4366 DP.DOD.DECX.CR.GG.Z1
#> 4369 DP.DOD.DECX.CR.NF.Z1
#> 4374 DP.DOD.DLCD.CR.BC.Z1
#> 4377 DP.DOD.DLCD.CR.CG.Z1
#> 4380 DP.DOD.DLCD.CR.FC.Z1
#> 4383 DP.DOD.DLCD.CR.GG.Z1
#> 4386 DP.DOD.DLCD.CR.L1.BC.Z1
#> 4389 DP.DOD.DLCD.CR.L1.CG.Z1
#> 4392 DP.DOD.DLCD.CR.L1.FC.Z1
#> 4395 DP.DOD.DLCD.CR.L1.GG.Z1
#> 4398 DP.DOD.DLCD.CR.L1.NF.Z1
#> 4403 DP.DOD.DLCD.CR.M1.BC.Z1
#> 4406 DP.DOD.DLCD.CR.M1.CG.Z1
#> 4409 DP.DOD.DLCD.CR.M1.FC.Z1
#> 4412 DP.DOD.DLCD.CR.M1.GG.Z1
#> 4415 DP.DOD.DLCD.CR.M1.NF.Z1
#> 4420 DP.DOD.DLCD.CR.NF.Z1
#> 4424 DP.DOD.DLD1.CR.CG.Z1
#> 4426 DP.DOD.DLD1.CR.GG.Z1
#> 4428 DP.DOD.DLD2.CR.CG.Z1
#> 4430 DP.DOD.DLD2.CR.GG.Z1
#> 4432 DP.DOD.DLD2A.CR.CG.Z1
#> 4434 DP.DOD.DLD2A.CR.GG.Z1
#> 4436 DP.DOD.DLD3.CR.CG.Z1
#> 4438 DP.DOD.DLD3.CR.GG.Z1
#> 4440 DP.DOD.DLD4.CR.CG.Z1
#> 4442 DP.DOD.DLD4.CR.GG.Z1
#> 4445 DP.DOD.DLDS.CR.BC.Z1
#> 4448 DP.DOD.DLDS.CR.CG.Z1
#> 4451 DP.DOD.DLDS.CR.FC.Z1
#> 4454 DP.DOD.DLDS.CR.GG.Z1
#> 4457 DP.DOD.DLDS.CR.L1.BC.Z1
#> 4460 DP.DOD.DLDS.CR.L1.CG.Z1
#> 4463 DP.DOD.DLDS.CR.L1.FC.Z1
#> 4466 DP.DOD.DLDS.CR.L1.GG.Z1
#> 4469 DP.DOD.DLDS.CR.L1.NF.Z1
#> 4474 DP.DOD.DLDS.CR.M1.BC.Z1
#> 4477 DP.DOD.DLDS.CR.M1.CG.Z1
#> 4480 DP.DOD.DLDS.CR.M1.FC.Z1
#> 4483 DP.DOD.DLDS.CR.M1.GG.Z1
#> 4486 DP.DOD.DLDS.CR.M1.NF.Z1
#> 4491 DP.DOD.DLDS.CR.MV.BC.Z1
#> 4494 DP.DOD.DLDS.CR.MV.CG.Z1
#> 4497 DP.DOD.DLDS.CR.MV.FC.Z1
#> 4500 DP.DOD.DLDS.CR.MV.GG.Z1
#> 4503 DP.DOD.DLDS.CR.MV.NF.Z1
#> 4508 DP.DOD.DLDS.CR.NF.Z1
#> 4513 DP.DOD.DLIN.CR.BC.Z1
#> 4516 DP.DOD.DLIN.CR.CG.Z1
#> 4519 DP.DOD.DLIN.CR.FC.Z1
#> 4522 DP.DOD.DLIN.CR.GG.Z1
#> 4525 DP.DOD.DLIN.CR.L1.BC.Z1
#> 4528 DP.DOD.DLIN.CR.L1.CG.Z1
#> 4531 DP.DOD.DLIN.CR.L1.FC.Z1
#> 4534 DP.DOD.DLIN.CR.L1.GG.Z1
#> 4537 DP.DOD.DLIN.CR.L1.NF.Z1
#> 4542 DP.DOD.DLIN.CR.M1.BC.Z1
#> 4545 DP.DOD.DLIN.CR.M1.CG.Z1
#> 4548 DP.DOD.DLIN.CR.M1.FC.Z1
#> 4551 DP.DOD.DLIN.CR.M1.GG.Z1
#> 4554 DP.DOD.DLIN.CR.M1.NF.Z1
#> 4559 DP.DOD.DLIN.CR.NF.Z1
#> 4564 DP.DOD.DLLO.CR.BC.Z1
#> 4567 DP.DOD.DLLO.CR.CG.Z1
#> 4570 DP.DOD.DLLO.CR.FC.Z1
#> 4573 DP.DOD.DLLO.CR.GG.Z1
#> 4576 DP.DOD.DLLO.CR.L1.BC.Z1
#> 4579 DP.DOD.DLLO.CR.L1.CG.Z1
#> 4582 DP.DOD.DLLO.CR.L1.FC.Z1
#> 4585 DP.DOD.DLLO.CR.L1.GG.Z1
#> 4588 DP.DOD.DLLO.CR.L1.NF.Z1
#> 4593 DP.DOD.DLLO.CR.M1.BC.Z1
#> 4596 DP.DOD.DLLO.CR.M1.CG.Z1
#> 4599 DP.DOD.DLLO.CR.M1.FC.Z1
#> 4602 DP.DOD.DLLO.CR.M1.GG.Z1
#> 4605 DP.DOD.DLLO.CR.M1.NF.Z1
#> 4610 DP.DOD.DLLO.CR.NF.Z1
#> 4615 DP.DOD.DLOA.CR.BC.Z1
#> 4618 DP.DOD.DLOA.CR.CG.Z1
#> 4621 DP.DOD.DLOA.CR.FC.Z1
#> 4624 DP.DOD.DLOA.CR.GG.Z1
#> 4627 DP.DOD.DLOA.CR.L1.BC.Z1
#> 4630 DP.DOD.DLOA.CR.L1.CG.Z1
#> 4633 DP.DOD.DLOA.CR.L1.FC.Z1
#> 4636 DP.DOD.DLOA.CR.L1.GG.Z1
#> 4639 DP.DOD.DLOA.CR.L1.NF.Z1
#> 4644 DP.DOD.DLOA.CR.M1.BC.Z1
#> 4647 DP.DOD.DLOA.CR.M1.CG.Z1
#> 4650 DP.DOD.DLOA.CR.M1.FC.Z1
#> 4653 DP.DOD.DLOA.CR.M1.GG.Z1
#> 4656 DP.DOD.DLOA.CR.M1.NF.Z1
#> 4661 DP.DOD.DLOA.CR.NF.Z1
#> 4666 DP.DOD.DLSD.CR.BC.Z1
#> 4669 DP.DOD.DLSD.CR.CG.Z1
#> 4672 DP.DOD.DLSD.CR.FC.Z1
#> 4675 DP.DOD.DLSD.CR.GG.Z1
#> 4678 DP.DOD.DLSD.CR.M1.BC.Z1
#> 4681 DP.DOD.DLSD.CR.M1.CG.Z1
#> 4684 DP.DOD.DLSD.CR.M1.FC.Z1
#> 4687 DP.DOD.DLSD.CR.M1.GG.Z1
#> 4690 DP.DOD.DLSD.CR.M1.NF.Z1
#> 4695 DP.DOD.DLSD.CR.NF.Z1
#> 4700 DP.DOD.DLTC.CR.BC.Z1
#> 4703 DP.DOD.DLTC.CR.CG.Z1
#> 4706 DP.DOD.DLTC.CR.FC.Z1
#> 4709 DP.DOD.DLTC.CR.GG.Z1
#> 4712 DP.DOD.DLTC.CR.L1.BC.Z1
#> 4715 DP.DOD.DLTC.CR.L1.CG.Z1
#> 4718 DP.DOD.DLTC.CR.L1.FC.Z1
#> 4721 DP.DOD.DLTC.CR.L1.GG.Z1
#> 4724 DP.DOD.DLTC.CR.L1.NF.Z1
#> 4729 DP.DOD.DLTC.CR.M1.BC.Z1
#> 4732 DP.DOD.DLTC.CR.M1.CG.Z1
#> 4735 DP.DOD.DLTC.CR.M1.FC.Z1
#> 4738 DP.DOD.DLTC.CR.M1.GG.Z1
#> 4741 DP.DOD.DLTC.CR.M1.NF.Z1
#> 4746 DP.DOD.DLTC.CR.NF.Z1
#> 4752 DP.DOD.DSCD.CR.BC.Z1
#> 4755 DP.DOD.DSCD.CR.CG.Z1
#> 4758 DP.DOD.DSCD.CR.FC.Z1
#> 4761 DP.DOD.DSCD.CR.GG.Z1
#> 4764 DP.DOD.DSCD.CR.NF.Z1
#> 4769 DP.DOD.DSDS.CR.BC.Z1
#> 4772 DP.DOD.DSDS.CR.CG.Z1
#> 4775 DP.DOD.DSDS.CR.FC.Z1
#> 4778 DP.DOD.DSDS.CR.GG.Z1
#> 4781 DP.DOD.DSDS.CR.NF.Z1
#> 4786 DP.DOD.DSIN.CR.BC.Z1
#> 4789 DP.DOD.DSIN.CR.CG.Z1
#> 4792 DP.DOD.DSIN.CR.FC.Z1
#> 4795 DP.DOD.DSIN.CR.GG.Z1
#> 4798 DP.DOD.DSIN.CR.NF.Z1
#> 4803 DP.DOD.DSLO.CR.BC.Z1
#> 4806 DP.DOD.DSLO.CR.CG.Z1
#> 4809 DP.DOD.DSLO.CR.FC.Z1
#> 4812 DP.DOD.DSLO.CR.GG.Z1
#> 4815 DP.DOD.DSLO.CR.NF.Z1
#> 4820 DP.DOD.DSOA.CR.BC.Z1
#> 4823 DP.DOD.DSOA.CR.CG.Z1
#> 4826 DP.DOD.DSOA.CR.FC.Z1
#> 4829 DP.DOD.DSOA.CR.GG.Z1
#> 4832 DP.DOD.DSOA.CR.NF.Z1
#> 4837 DP.DOD.DSTC.CR.BC.Z1
#> 4840 DP.DOD.DSTC.CR.CG.Z1
#> 4843 DP.DOD.DSTC.CR.FC.Z1
#> 4846 DP.DOD.DSTC.CR.GG.Z1
#> 4849 DP.DOD.DSTC.CR.NF.Z1
#> 5345 DT.DOD.ALLC.ZSG
#> 5348 DT.DOD.ALLN.ZSG
#> 5349 DT.DOD.ALLN.ZSX
#> 5503 DT.DOD.DECT.CD.ZSG
#> 7122 DT.ODA.ALLD.GD.ZS
#> 7193 DT.ODA.DACD.ZSG
#> 7198 DT.ODA.MULT.ZSG
#> 7206 DT.ODA.NDAC.ZSG
#> 7212 DT.ODA.ODAT.GD.ZS
#> 7362 DT.TDS.DECT.GD.ZS
#> 7759 EF.EFM.OVRL.XD
#> 7762 EF.EFM.UNIV.XD
#> 7766 EG.EGY.PRIM.PP.KD
#> 7790 EG.GDP.PUSE.KO.87
#> 7791 EG.GDP.PUSE.KO.KD
#> 7792 EG.GDP.PUSE.KO.PP
#> 7793 EG.GDP.PUSE.KO.PP.KD
#> 7801 EG.USE.COMM.GD.PP.KD
#> 7920 EN.ATM.CO2E.GDP
#> 7924 EN.ATM.CO2E.KD.87.GD
#> 7925 EN.ATM.CO2E.KD.GD
#> 7930 EN.ATM.CO2E.PP.GD
#> 7931 EN.ATM.CO2E.PP.GD.KD
#> 8016 EN.GHG.CO2.RT.GDP.KD
#> 8017 EN.GHG.CO2.RT.GDP.PP.KD
#> 8100 ER.GDP.FWTL.M3.KD
#> 8118 EU.EGY.USES.GDP
#> 8172 FB.DPT.INSU.PC.ZS
#> 8525 FD.AST.PRVT.GD.ZS
#> 8634 FI.RES.TOTL.CD.ZS
#> 10993 FM.AST.GOVT.CN.ZS
#> 11002 FM.AST.PRVT.GD.ZS
#> 11011 FM.LBL.BMNY.GD.ZS
#> 11018 FM.LBL.MQMY.GD.ZS
#> 11019 FM.LBL.MQMY.GDP.ZS
#> 11021 FM.LBL.MQMY.XD
#> 11026 FM.LBL.QMNY.GDP.ZS
#> 11027 FM.LBL.SEIG.GDP.ZS
#> 11083 FR.INR.DPST.DP
#> 11092 FR.INR.RINR
#> 11097 FS.AST.CGOV.GD.ZS
#> 11098 FS.AST.DOMO.GD.ZS
#> 11099 FS.AST.DOMS.GD.ZS
#> 11100 FS.AST.DTOT.ZS
#> 11102 FS.AST.PRVT.GD.ZS
#> 11103 FS.AST.PRVT.GDP.ZS
#> 11104 FS.LBL.LIQU.GD.ZS
#> 11105 FS.LBL.LIQU.GDP.ZS
#> 11106 FS.LBL.QLIQ.GD.ZS
#> 11169 GB.BAL.OVRL.GD.ZS
#> 11170 GB.BAL.OVRL.GDP.ZS
#> 11179 GB.DOD.TOTL.GD.ZS
#> 11180 GB.DOD.TOTL.GDP.ZS
#> 11184 GB.FIN.ABRD.GD.ZS
#> 11185 GB.FIN.ABRD.GDP.ZS
#> 11189 GB.FIN.DOMS.GD.ZS
#> 11190 GB.FIN.DOMS.GDP.ZS
#> 11200 GB.REV.CTOT.GD.ZS
#> 11203 GB.REV.TOTL.GDP.ZS
#> 11205 GB.REV.XAGT.CN.ZS
#> 11208 GB.RVC.TOTL.GD.ZS
#> 11210 GB.SOE.DECT.ZS
#> 11212 GB.SOE.ECON.GD.ZS
#> 11213 GB.SOE.ECON.GDP.ZS
#> 11216 GB.SOE.NFLW.GD.ZS
#> 11217 GB.SOE.NFLW.GDP.ZS
#> 11218 GB.SOE.OVRL.GD.ZS
#> 11219 GB.SOE.OVRL.GDP.ZS
#> 11244 GB.TAX.TOTL.GD.ZS
#> 11245 GB.TAX.TOTL.GDP.ZS
#> 11263 GB.XPD.DEFN.GDP.ZS
#> 11266 GB.XPD.RSDV.GD.ZS
#> 11269 GB.XPD.TOTL.GD.ZS
#> 11270 GB.XPD.TOTL.GDP.ZS
#> 11277 GC.AST.TOTL.GD.ZS
#> 11280 GC.BAL.CASH.GD.ZS
#> 11285 GC.DOD.TOTL.GD.ZS
#> 11289 GC.FIN.DOMS.GD.ZS
#> 11291 GC.FIN.FRGN.GD.ZS
#> 11293 GC.LBL.TOTL.GD.ZS
#> 11295 GC.NFN.TOTL.GD.ZS
#> 11297 GC.NLD.TOTL.GD.ZS
#> 11308 GC.REV.XGRT.GD.ZS
#> 11323 GC.TAX.TOTL.GD.ZS
#> 11340 GC.XPN.TOTL.GD.ZS
#> 11583 GFDD.DI.01
#> 11584 GFDD.DI.02
#> 11585 GFDD.DI.03
#> 11587 GFDD.DI.05
#> 11588 GFDD.DI.06
#> 11589 GFDD.DI.07
#> 11590 GFDD.DI.08
#> 11591 GFDD.DI.09
#> 11592 GFDD.DI.10
#> 11593 GFDD.DI.11
#> 11594 GFDD.DI.12
#> 11595 GFDD.DI.13
#> 11596 GFDD.DI.14
#> 11597 GFDD.DM.01
#> 11598 GFDD.DM.02
#> 11599 GFDD.DM.03
#> 11600 GFDD.DM.04
#> 11601 GFDD.DM.05
#> 11602 GFDD.DM.06
#> 11603 GFDD.DM.07
#> 11604 GFDD.DM.08
#> 11605 GFDD.DM.09
#> 11606 GFDD.DM.10
#> 11607 GFDD.DM.11
#> 11608 GFDD.DM.12
#> 11609 GFDD.DM.13
#> 11612 GFDD.DM.16
#> 11620 GFDD.EI.08
#> 11625 GFDD.OI.02
#> 11628 GFDD.OI.08
#> 11629 GFDD.OI.09
#> 11633 GFDD.OI.13
#> 11634 GFDD.OI.14
#> 11638 GFDD.OI.17
#> 11639 GFDD.OI.18
#> 11640 GFDD.OI.19
#> 12908 IC.FRM.PROD.GROW.PEFT3
#> 12922 IC.FRM.SLS.GROW.PEFT1
#> 13091 IE.ICT.TOTL.GD.ZS
#> 13158 IN.EC.GSDP.PERCAP.NOM.INR
#> 13159 IN.EC.GSDP.PERCAP.NOM.USD
#> 13160 IN.EC.GSDP.PERCAP.REAL.INR
#> 13161 IN.EC.GSDP.PERCAP.REAL.INR.GRWTHRAT
#> 13162 IN.EC.GSDP.PERCAP.REAL.USD
#> 13163 IN.EC.GSDP.PERCAP.REAL.USD.GRWTHRAT
#> 13440 IS.RRS.GOOD.KM.PP.ZS
#> 13442 IS.RRS.PASG.K2.PP.ZS
#> 13550 IT.TEL.REVN.GD.ZS
#> 15558 MO.INDEX.ECON.XQ
#> 15582 MS.MIL.XPND.GD.ZS
#> 15587 NA.GDP.ACC.FB.SNA08.CR
#> 15588 NA.GDP.ACC.FB.SNA08.KR
#> 15589 NA.GDP.AGR.CR
#> 15590 NA.GDP.AGR.KR
#> 15591 NA.GDP.AGR.SNA08.CR
#> 15592 NA.GDP.AGR.SNA08.KR
#> 15593 NA.GDP.BUSS.SNA08.CR
#> 15594 NA.GDP.BUSS.SNA08.KR
#> 15595 NA.GDP.CNST.CR
#> 15596 NA.GDP.CNST.KR
#> 15597 NA.GDP.CNST.SNA08.CR
#> 15598 NA.GDP.CNST.SNA08.KR
#> 15599 NA.GDP.EDUS.SNA08.CR
#> 15600 NA.GDP.EDUS.SNA08.KR
#> 15601 NA.GDP.ELEC.GAS.SNA08.CR
#> 15602 NA.GDP.ELEC.GAS.SNA08.KR
#> 15603 NA.GDP.EXC.OG.CR
#> 15604 NA.GDP.EXC.OG.KR
#> 15605 NA.GDP.FINS.CR
#> 15606 NA.GDP.FINS.KR
#> 15607 NA.GDP.FINS.SNA08.CR
#> 15608 NA.GDP.FINS.SNA08.KR
#> 15609 NA.GDP.HLTH.SOCW.SNA08.CR
#> 15610 NA.GDP.HLTH.SOCW.SNA08.KR
#> 15611 NA.GDP.INC.OG.CR
#> 15612 NA.GDP.INC.OG.KR
#> 15613 NA.GDP.INC.OG.SNA08.CR
#> 15614 NA.GDP.INC.OG.SNA08.KR
#> 15615 NA.GDP.INF.COMM.SNA08.CR
#> 15616 NA.GDP.INF.COMM.SNA08.KR
#> 15617 NA.GDP.MINQ.CR
#> 15618 NA.GDP.MINQ.KR
#> 15619 NA.GDP.MINQ.SNA08.CR
#> 15620 NA.GDP.MINQ.SNA08.KR
#> 15621 NA.GDP.MNF.CR
#> 15622 NA.GDP.MNF.KR
#> 15623 NA.GDP.MNF.SNA08.CR
#> 15624 NA.GDP.MNF.SNA08.KR
#> 15625 NA.GDP.PADM.DEF.SNA08.CR
#> 15626 NA.GDP.PADM.DEF.SNA08.KR
#> 15627 NA.GDP.REST.SNA08.CR
#> 15628 NA.GDP.REST.SNA08.KR
#> 15629 NA.GDP.SRV.OTHR.CR
#> 15630 NA.GDP.SRV.OTHR.KR
#> 15631 NA.GDP.SRV.OTHR.SNA08.CR
#> 15632 NA.GDP.SRV.OTHR.SNA08.KR
#> 15633 NA.GDP.TRAN.COMM.CR
#> 15634 NA.GDP.TRAN.COMM.KR
#> 15635 NA.GDP.TRAN.STOR.SNA08.CR
#> 15636 NA.GDP.TRAN.STOR.SNA08.KR
#> 15637 NA.GDP.TRD.HTL.CR
#> 15638 NA.GDP.TRD.HTL.KR
#> 15639 NA.GDP.TRD.SNA08.CR
#> 15640 NA.GDP.TRD.SNA08.KR
#> 15641 NA.GDP.UTL.CR
#> 15642 NA.GDP.UTL.KR
#> 15643 NA.GDP.WTR.WST.SNA08.CR
#> 15644 NA.GDP.WTR.WST.SNA08.KR
#> 15653 NE.CON.GOVT.ZS
#> 15655 NE.CON.PCAP.PP.CD
#> 15656 NE.CON.PCAP.PP.KD
#> 15666 NE.CON.PETC.ZS
#> 15681 NE.CON.PRVT.PP.CD
#> 15682 NE.CON.PRVT.PP.KD
#> 15683 NE.CON.PRVT.ZS
#> 15693 NE.CON.TETC.ZS
#> 15701 NE.CON.TOTL.ZG
#> 15702 NE.CON.TOTL.ZS
#> 15712 NE.DAB.TOTL.ZS
#> 15724 NE.EXP.GNFS.ZS
#> 15726 NE.GDI.CON.GOVT.CR
#> 15727 NE.GDI.CON.GOVT.SNA08.CR
#> 15728 NE.GDI.CON.NPI.CR
#> 15729 NE.GDI.CON.NPI.SNA08.CR
#> 15730 NE.GDI.CON.PRVT.CR
#> 15731 NE.GDI.CON.PRVT.SNA08.CR
#> 15732 NE.GDI.EXPT.CR
#> 15733 NE.GDI.EXPT.SNA08.CR
#> 15758 NE.GDI.FPRV.ZS
#> 15763 NE.GDI.FPUB.ZS
#> 15766 NE.GDI.FTOT.CR
#> 15773 NE.GDI.FTOT.SNA08.CR
#> 15774 NE.GDI.FTOT.ZS
#> 15775 NE.GDI.IMPT.CR
#> 15776 NE.GDI.IMPT.SNA08.CR
#> 15777 NE.GDI.INEX.SNA08.CR
#> 15782 NE.GDI.STKB.CR
#> 15786 NE.GDI.STKB.SNA08.CR
#> 15795 NE.GDI.TOTL.CR
#> 15802 NE.GDI.TOTL.SNA08.CR
#> 15803 NE.GDI.TOTL.ZG
#> 15804 NE.GDI.TOTL.ZS
#> 15814 NE.IMP.GNFS.ZS
#> 15815 NE.MRCH.GDP.ZS
#> 15821 NE.RSB.GNFS.ZG
#> 15822 NE.RSB.GNFS.ZS
#> 15825 NE.TRD.GNFS.ZS
#> 15889 NP.AGR.TOTL.ZG
#> 15893 NP.IND.TOTL.ZG
#> 15899 NP.SRV.TOTL.ZG
#> 15907 NV.AGR.PCAP.KD.ZG
#> 15917 NV.AGR.TOTL.ZG
#> 15918 NV.AGR.TOTL.ZS
#> 15938 NV.IND.MANF.ZS
#> 15952 NV.IND.TOTL.ZG
#> 15953 NV.IND.TOTL.ZS
#> 15971 NV.SRV.DISC.CD
#> 15972 NV.SRV.DISC.CN
#> 15973 NV.SRV.DISC.KN
#> 15990 NV.SRV.TETC.ZG
#> 15991 NV.SRV.TETC.ZS
#> 15997 NV.SRV.TOTL.ZS
#> 16008 NW.HCA.FEMA.PC
#> 16010 NW.HCA.FEMA.TO
#> 16012 NW.HCA.MALE.PC
#> 16014 NW.HCA.MALE.TO
#> 16016 NW.HCA.PC
#> 16018 NW.HCA.TO
#> 16020 NW.NCA.AGRI.PC
#> 16022 NW.NCA.AGRI.TO
#> 16026 NW.NCA.FISH.PC
#> 16028 NW.NCA.FISH.TO
#> 16042 NW.NCA.FTIM.PC
#> 16044 NW.NCA.FTIM.TO
#> 16050 NW.NCA.MANG.PC
#> 16052 NW.NCA.MANG.TO
#> 16070 NW.NCA.MINR.PC
#> 16072 NW.NCA.MINR.TO
#> 16112 NW.NCA.SACO.PC
#> 16114 NW.NCA.SACO.TO
#> 16116 NW.NCA.SAGA.PC
#> 16118 NW.NCA.SAGA.TO
#> 16120 NW.NCA.SAOI.PC
#> 16122 NW.NCA.SAOI.TO
#> 16124 NW.NCA.SSOI.PC
#> 16126 NW.NCA.SSOI.TO
#> 16132 NW.NFA.PC
#> 16134 NW.NFA.TO
#> 16140 NW.PCA.PC
#> 16143 NW.PCA.TO
#> 16146 NW.TOW.PC
#> 16148 NW.TOW.TO
#> 16180 NY.AGR.SUBS.GD.ZS
#> 16184 NY.GDP.COAL.RT.ZS
#> 16185 NY.GDP.DEFL.87.ZG
#> 16186 NY.GDP.DEFL.KD.ZG
#> 16187 NY.GDP.DEFL.KD.ZG.AD
#> 16188 NY.GDP.DEFL.ZS
#> 16189 NY.GDP.DEFL.ZS.87
#> 16190 NY.GDP.DEFL.ZS.AD
#> 16191 NY.GDP.DISC.CD
#> 16192 NY.GDP.DISC.CN
#> 16193 NY.GDP.DISC.KN
#> 16194 NY.GDP.FCST.CD
#> 16195 NY.GDP.FCST.CN
#> 16196 NY.GDP.FCST.KD
#> 16197 NY.GDP.FCST.KD.87
#> 16198 NY.GDP.FCST.KN
#> 16199 NY.GDP.FCST.KN.87
#> 16200 NY.GDP.FRST.RT.ZS
#> 16201 NY.GDP.MINR.RT.ZS
#> 16202 NY.GDP.MKTP.CD
#> 16203 NY.GDP.MKTP.CD.XD
#> 16204 NY.GDP.MKTP.CN
#> 16205 NY.GDP.MKTP.CN.AD
#> 16206 NY.GDP.MKTP.CN.XD
#> 16207 NY.GDP.MKTP.IN
#> 16208 NY.GDP.MKTP.KD
#> 16209 NY.GDP.MKTP.KD.87
#> 16210 NY.GDP.MKTP.KD.ZG
#> 16211 NY.GDP.MKTP.KN
#> 16212 NY.GDP.MKTP.KN.87
#> 16213 NY.GDP.MKTP.KN.87.ZG
#> 16214 NY.GDP.MKTP.PP.CD
#> 16215 NY.GDP.MKTP.PP.KD
#> 16216 NY.GDP.MKTP.PP.KD.87
#> 16217 NY.GDP.MKTP.XD
#> 16218 NY.GDP.MKTP.XU.E
#> 16219 NY.GDP.MKTP.ZG
#> 16220 NY.GDP.NGAS.RT.ZS
#> 16221 NY.GDP.PCAP.CD
#> 16222 NY.GDP.PCAP.CN
#> 16223 NY.GDP.PCAP.KD
#> 16224 NY.GDP.PCAP.KD.ZG
#> 16225 NY.GDP.PCAP.KN
#> 16226 NY.GDP.PCAP.PP.CD
#> 16227 NY.GDP.PCAP.PP.KD
#> 16228 NY.GDP.PCAP.PP.KD.87
#> 16229 NY.GDP.PCAP.PP.KD.ZG
#> 16230 NY.GDP.PETR.RT.ZS
#> 16231 NY.GDP.TOTL.RT.ZS
#> 16238 NY.GDS.TOTL.CD
#> 16239 NY.GDS.TOTL.CN
#> 16240 NY.GDS.TOTL.KD
#> 16242 NY.GDS.TOTL.KN
#> 16244 NY.GDS.TOTL.ZS
#> 16245 NY.GDY.TOTL.KD
#> 16247 NY.GDY.TOTL.KN
#> 16249 NY.GEN.AEDU.GD.ZS
#> 16250 NY.GEN.DCO2.GD.ZS
#> 16251 NY.GEN.DFOR.GD.ZS
#> 16252 NY.GEN.DKAP.GD.ZS
#> 16253 NY.GEN.DMIN.GD.ZS
#> 16254 NY.GEN.DNGY.GD.ZS
#> 16255 NY.GEN.NDOM.GD.ZS
#> 16256 NY.GEN.SVNG.GD.ZS
#> 16268 NY.GNP.MKTP.PP.CD
#> 16269 NY.GNP.MKTP.PP.KD
#> 16279 NY.GNP.PCAP.PP.CD
#> 16280 NY.GNP.PCAP.PP.KD
#> 16289 NY.GNS.ICTR.ZS
#> 16327 NYGDPMKTPKDZ
#> 16328 NYGDPMKTPSACD
#> 16329 NYGDPMKTPSACN
#> 16330 NYGDPMKTPSAKD
#> 16331 NYGDPMKTPSAKN
#> 16407 PA.NUS.GDP.PLI
#> 16408 PA.NUS.PPP
#> 16409 PA.NUS.PPP.05
#> 16410 PA.NUS.PPPC.RF
#> 16412 PA.NUS.PRVT.PP
#> 16471 PER.ALL.CNTRL.GDP
#> 16479 PER.ALL.CPL.GDP
#> 16504 PER.ALL.PS.GDP
#> 16526 PER.ALL.RCT.GDP
#> 16535 PER.ALL.SAL.GDP
#> 16544 PER.ALL.SUB.GDP
#> 16549 PER.ALL.TSAL.GDP
#> 16551 PER.ALL.TTL.GDP
#> 16552 PER.ALL.TTL.GDP.GOV
#> 16565 PER.BAS.GDP
#> 16581 PER.BAS.PS.GDP
#> 16600 PER.BAS.SAL.GDP
#> 16611 PER.EFF.GDP
#> 16612 PER.EFF.SUB.GDP
#> 16614 PER.EFF.TEACH.GDP
#> 16648 PER.JR.PS.GDP
#> 16665 PER.JR.SAL.GDP
#> 16681 PER.OC.FEED.GDP
#> 16762 PER.OC.TRA.GDP
#> 16786 PER.PP.GDP
#> 16791 PER.PP.PS.GDP
#> 16841 PER.PRM.GDP
#> 16858 PER.PRM.PS.GDP
#> 16880 PER.PRM.RCT.GDP
#> 16884 PER.PRM.SAL.GDP
#> 16936 PER.SEC.GDP
#> 16952 PER.SEC.PS.GDP
#> 16975 PER.SEC.RCT.GDP
#> 16979 PER.SEC.SAL.GDP
#> 17047 PER.SOR.GOV.GDP
#> 17107 PER.SOR.ITL.GDP
#> 17128 PER.SOR.PVT.GDP
#> 17129 PER.SOR.PVT.GDP.PP
#> 17130 PER.SOR.PVT.GDP.PRM
#> 17131 PER.SOR.PVT.GDP.SEC
#> 17132 PER.SOR.PVT.GDP.TER
#> 17187 PER.SR.PS.GDP
#> 17204 PER.SR.SAL.GDP
#> 17236 PER.TER.GDP
#> 17244 PER.TER.PS.GDP
#> 17264 PER.TER.RCT.GDP
#> 17268 PER.TER.SAL.GDP
#> 17291 PER.TT.PS.GDP
#> 17306 PER.VOC.GDP
#> 17311 PER.VOC.PS.GDP
#> 21507 REV.DAU.CR
#> 24330 SE.PRM.BFIN.6
#> 24703 SE.PRM.SATT.2
#> 24767 SE.PRM.TATT.1
#> 24994 SE.XPD.EDUC.ZS
#> 24999 SE.XPD.PRIM.GDP.ZS
#> 25000 SE.XPD.PRIM.PC.ZS
#> 25003 SE.XPD.SECO.GDP.ZS
#> 25004 SE.XPD.SECO.PC.ZS
#> 25008 SE.XPD.TERT.GDP.ZS
#> 25009 SE.XPD.TERT.PC.ZS
#> 25012 SE.XPD.TOTL.GD.ZS
#> 25032 SF.TRN.RAIL.KM.ZS
#> 25912 SH.STA.MMRT
#> 26056 SH.XPD.CHEX.GD.ZS
#> 26065 SH.XPD.GHED.GD.ZS
#> 26069 SH.XPD.HLTH.ZS
#> 26070 SH.XPD.KHEX.GD.ZS
#> 26082 SH.XPD.PRIV.ZS
#> 26085 SH.XPD.PUBL.ZS
#> 26091 SH.XPD.TOTL.ZS
#> 26265 SL.GDP.PCAP.EM.KD
#> 26266 SL.GDP.PCAP.EM.KD.ZG
#> 26267 SL.GDP.PCAP.EM.XD
#> 27003 SPI.D5.2.3.CNIN
#> 27005 SPI.D5.2.5.HOUS
#> 27010 SPI.D5.5.DIFI
#> 27045 TG.VAL.TOTL.GD.PP.ZS
#> 27046 TG.VAL.TOTL.GD.ZS
#> 27047 TG.VAL.TOTL.GG.ZS
#> 29254 UIS.X.PPPCONST.02.FSGOV
#> 29255 UIS.X.PPPCONST.1.FSGOV
#> 29256 UIS.X.PPPCONST.2.FSGOV
#> 29257 UIS.X.PPPCONST.2T3.FSGOV
#> 29258 UIS.X.PPPCONST.2T4.V.FSGOV
#> 29259 UIS.X.PPPCONST.3.FSGOV
#> 29260 UIS.X.PPPCONST.4.FSGOV
#> 29261 UIS.X.PPPCONST.5T8.FSGOV
#> 29262 UIS.X.PPPCONST.FSGOV
#> 29263 UIS.X.PPPCONST.UK.FSGOV
#> 29274 UIS.X.USCONST.02.FSGOV
#> 29275 UIS.X.USCONST.1.FSGOV
#> 29276 UIS.X.USCONST.2.FSGOV
#> 29277 UIS.X.USCONST.2T3.FSGOV
#> 29278 UIS.X.USCONST.2T4.V.FSGOV
#> 29279 UIS.X.USCONST.3.FSGOV
#> 29280 UIS.X.USCONST.4.FSGOV
#> 29281 UIS.X.USCONST.5T8.FSGOV
#> 29282 UIS.X.USCONST.FSGOV
#> 29283 UIS.X.USCONST.UK.FSGOV
#> 29284 UIS.XGDP.0.FSGOV
#> 29285 UIS.XGDP.1.FSGOV
#> 29286 UIS.XGDP.2.FSGOV
#> 29287 UIS.XGDP.23.FSGOV
#> 29288 UIS.XGDP.2T4.V.FSGOV
#> 29289 UIS.XGDP.3.FSGOV
#> 29290 UIS.XGDP.4.FSGOV
#> 29291 UIS.XGDP.56.FSGOV
#> 29341 UIS.XUNIT.GDPCAP.02.FSGOV
#> 29342 UIS.XUNIT.GDPCAP.1.FSGOV
#> 29343 UIS.XUNIT.GDPCAP.1.FSHH
#> 29344 UIS.XUNIT.GDPCAP.2.FSGOV
#> 29345 UIS.XUNIT.GDPCAP.23.FSGOV
#> 29346 UIS.XUNIT.GDPCAP.23.FSHH
#> 29347 UIS.XUNIT.GDPCAP.3.FSGOV
#> 29348 UIS.XUNIT.GDPCAP.5T8.FSGOV
#> 29349 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 $)
#> 2096 Trade in services (% of GDP)
#> 2097 Gross private capital flows (% of GDP, PPP)
#> 2098 Gross private capital flows (% of GDP)
#> 2099 Gross foreign direct investment (% of GDP, PPP)
#> 2100 Gross foreign direct investment (% of GDP)
#> 2401 Wage bill as a percentage of GDP
#> 2424 Merchandise imports (BOP): percentage of GDP (%)
#> 2436 Foreign direct investment, net outflows (% of GDP)
#> 2437 Foreign direct investment, net outflows (% of GDP)
#> 2450 Current account balance (% of GDP)
#> 2451 Current account balance (% of GDP)
#> 2454 Curr. acc. bal. before official transf. (% of GDP)
#> 2457 Current account balance excluding net official capital grants (% of GDP)
#> 2463 Net income (% of GDP)
#> 2472 Foreign direct investment (% of GDP)
#> 2474 Foreign direct investment, net inflows (% of GDP)
#> 2480 Private capital flows, total (% of GDP)
#> 2491 Net current transfers (% of GDP)
#> 2540 Merchandise exports (BOP): percentage of GDP (%)
#> 2552 Foreign direct investment, net inflows (% of GDP)
#> 2554 Foreign direct investment, net inflows (% of GDP)
#> 2563 Migrant remittance inflows (% of GDP)
#> 2569 Personal remittances, received (% of GDP)
#> 2570 Workers' remittances, receipts (% of GDP)
#> 2867 Total energy tax revenue (% of GDP)
#> 2868 Total environmental tax revenue (% of GDP)
#> 2943 Macro drivers of GHG emissions growth in the period 2012-2018 - Emission Intensity of GDP
#> 2944 Macro drivers of GHG emissions growth in the period 2012-2018 - GDP per capita
#> 2967 Annual investment needs for coastal protection, by risk strategy (% of GDP) - low risk tolerance
#> 2968 Annual investment needs for coastal protection, by risk strategy (% of GDP) - constant relative flood risk
#> 2969 Annual investment needs for coastal protection, by risk strategy (% of GDP) - optimal protection
#> 3032 Risk to asset (average annual losses as % of GDP)
#> 3033 Risk to wellbeing (average annual losses as % of GDP)
#> 3042 Public social protection expenditure (%of GDP)
#> 3135 Financing via international capital markets (gross inflows, % of GDP)
#> 3138 Market capitalization of listed domestic companies (% of GDP)
#> 3141 Stocks traded, total value (% of GDP)
#> 4289 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4292 Gross PSD, Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4295 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4298 Gross PSD, General Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4301 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4306 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4309 Gross PSD, Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4312 Gross PSD, Financial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4315 Gross PSD, General Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4318 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4323 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4326 Gross PSD, Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4329 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4332 Gross PSD, General Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4335 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4340 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4343 Gross PSD, Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4346 Gross PSD, Financial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 4349 Gross PSD, General Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4352 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 4357 Gross PSD, Budgetary Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4360 Gross PSD, Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4363 Gross PSD, Financial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4366 Gross PSD, General Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4369 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4374 Gross PSD, Budgetary Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4377 Gross PSD, Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4380 Gross PSD, Financial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4383 Gross PSD, General Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4386 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4389 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4392 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4395 Gross PSD, General Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4398 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4403 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4406 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4409 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4412 Gross PSD, General Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4415 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4420 Gross PSD, Nonfinancial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4424 Gross PSD, Central Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 4426 Gross PSD, General Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 4428 Gross PSD, Central Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 4430 Gross PSD, General Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 4432 Gross PSD, Central Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 4434 Gross PSD, General Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 4436 Gross PSD, Central Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 4438 Gross PSD, General Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 4440 Gross PSD, Central Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 4442 Gross PSD, General Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 4445 Gross PSD, Budgetary Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4448 Gross PSD, Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4451 Gross PSD, Financial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 4454 Gross PSD, General Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4457 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4460 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4463 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4466 Gross PSD, General Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4469 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4474 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4477 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4480 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4483 Gross PSD, General Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4486 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4491 Gross PSD, Budgetary Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4494 Gross PSD, Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4497 Gross PSD, Financial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 4500 Gross PSD, General Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4503 Gross PSD, Nonfinancial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 4508 Gross PSD, Nonfinancial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 4513 Gross PSD, Budgetary Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4516 Gross PSD, Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4519 Gross PSD, Financial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4522 Gross PSD, General Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4525 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
#> 4528 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4531 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
#> 4534 Gross PSD, General Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4537 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
#> 4542 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
#> 4545 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4548 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
#> 4551 Gross PSD, General Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4554 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
#> 4559 Gross PSD, Nonfinancial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4564 Gross PSD, Budgetary Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4567 Gross PSD, Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4570 Gross PSD, Financial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 4573 Gross PSD, General Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4576 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4579 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4582 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4585 Gross PSD, General Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4588 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4593 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4596 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4599 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4602 Gross PSD, General Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4605 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4610 Gross PSD, Nonfinancial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 4615 Gross PSD, Budgetary Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4618 Gross PSD, Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4621 Gross PSD, Financial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4624 Gross PSD, General Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4627 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4630 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4633 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4636 Gross PSD, General Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4639 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4644 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4647 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4650 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4653 Gross PSD, General Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4656 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4661 Gross PSD, Nonfinancial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4666 Gross PSD, Budgetary Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4669 Gross PSD, Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4672 Gross PSD, Financial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4675 Gross PSD, General Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4678 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4681 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4684 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4687 Gross PSD, General Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4690 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4695 Gross PSD, Nonfinancial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4700 Gross PSD, Budgetary Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4703 Gross PSD, Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4706 Gross PSD, Financial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 4709 Gross PSD, General Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4712 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4715 Gross PSD, Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4718 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4721 Gross PSD, General Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4724 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4729 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4732 Gross PSD, Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4735 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4738 Gross PSD, General Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4741 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4746 Gross PSD, Nonfinancial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 4752 Gross PSD, Budgetary Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4755 Gross PSD, Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4758 Gross PSD, Financial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4761 Gross PSD, General Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4764 Gross PSD, Nonfinancial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4769 Gross PSD, Budgetary Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4772 Gross PSD, Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4775 Gross PSD, Financial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 4778 Gross PSD, General Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4781 Gross PSD, Nonfinancial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 4786 Gross PSD, Budgetary Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4789 Gross PSD, Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4792 Gross PSD, Financial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4795 Gross PSD, General Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4798 Gross PSD, Nonfinancial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4803 Gross PSD, Budgetary Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4806 Gross PSD, Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4809 Gross PSD, Financial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 4812 Gross PSD, General Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4815 Gross PSD, Nonfinancial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 4820 Gross PSD, Budgetary Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4823 Gross PSD, Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4826 Gross PSD, Financial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4829 Gross PSD, General Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4832 Gross PSD, Nonfinancial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4837 Gross PSD, Budgetary Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4840 Gross PSD, Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4843 Gross PSD, Financial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 4846 Gross PSD, General Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4849 Gross PSD, Nonfinancial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 5345 Debt on Concessional terms to GDP (% of GDP)
#> 5348 Debt on Non-concessional terms to GDP (% of GDP)
#> 5349 Debt on Non-concessional terms to export ratio (% of exports)
#> 5503 Debt outstanding and disbursed, Total to GDP (% of GDP)
#> 7122 Net ODA received (% of GDP)
#> 7193 Net ODA received from DAC donors (% of recipient's GDP)
#> 7198 Net ODA received from multilateral donors (% of GDP)
#> 7206 Net ODA received from non-DAC bilateral donors (% of GDP)
#> 7212 Net ODA received (% of GDP)
#> 7362 Total debt service (% of GDP)
#> 7759 Economic Fitness Metric
#> 7762 Universal Economic Fitness Metric
#> 7766 Energy intensity level of primary energy (MJ/$2021 PPP GDP)
#> 7790 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 7791 GDP per unit of energy use (2000 US$ per kg of oil equivalent)
#> 7792 GDP per unit of energy use (PPP $ per kg of oil equivalent)
#> 7793 GDP per unit of energy use (constant 2021 PPP $ per kg of oil equivalent)
#> 7801 Energy use (kg of oil equivalent) per $1,000 GDP (constant 2021 PPP)
#> 7920 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 7924 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 7925 CO2 emissions (kg per 2010 US$ of GDP)
#> 7930 CO2 emissions (kg per PPP $ of GDP)
#> 7931 CO2 emissions (kg per 2011 PPP $ of GDP)
#> 8016 Carbon intensity of GDP (kg CO2e per constant 2015 US$ of GDP)
#> 8017 Carbon intensity of GDP (kg CO2e per 2021 PPP $ of GDP)
#> 8100 Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)
#> 8118 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 8172 Deposit insurance coverage (% of GDP per capita)
#> 8525 Domestic credit to private sector by banks (% of GDP)
#> 8634 Total reserves includes gold (% of GDP)
#> 10993 Claims on governments and other public entities (% of GDP)
#> 11002 Monetary Sector credit to private sector (% GDP)
#> 11011 Broad money (% of GDP)
#> 11018 Money and quasi money (M2) as % of GDP
#> 11019 Money and quasi money (M2) as % of GDP
#> 11021 Income velocity of money (GDP/M2)
#> 11026 Quasi-liquid liabilities (% of GDP)
#> 11027 Seignorage (% of GDP)
#> 11083 Real deposit interest rate (%)
#> 11092 Real interest rate (%)
#> 11097 Claims on central government, etc. (% GDP)
#> 11098 Claims on other sectors of the domestic economy (% of GDP)
#> 11099 Domestic credit provided by financial sector (% of GDP)
#> 11100 Domestic credit provided by banking sector (% of GDP)
#> 11102 Domestic credit to private sector (% of GDP)
#> 11103 Credit to private sector (% of GDP)
#> 11104 Liquid liabilities (M3) as % of GDP
#> 11105 Liquid liabilities (M3) as % of GDP
#> 11106 Quasi-liquid liabilities (% of GDP)
#> 11169 Overall budget balance, including grants (% of GDP)
#> 11170 Overall budget deficit, including grants (% of GDP)
#> 11179 Central government debt, total (% of GDP)
#> 11180 Central government debt, total (% of GDP)
#> 11184 Financing from abroad (% of GDP)
#> 11185 Financing from abroad (% of GDP)
#> 11189 Domestic financing, total (% of GDP)
#> 11190 Domestic finanacing (% of GDP)
#> 11200 Current revenue, excluding grants (% of GDP)
#> 11203 Current revenue (% of GDP)
#> 11205 Central government revenues, excluding all grants (% of GDP)
#> 11208 Current revenue, excluding grants (% of GDP)
#> 11210 SOE external debt (% of GDP)
#> 11212 State-owned enterprises, economic activity (% of GDP)
#> 11213 SOE economic activity (% of GDP)
#> 11216 State-owned enterprises, net financial flows from government (% of GDP)
#> 11217 SOE net financial flows from government (% of GDP)
#> 11218 State-owned enterprises, overall balance before transfers (% of GDP)
#> 11219 SOE overall balance before transfers (% of total)
#> 11244 Tax revenue (% of GDP)
#> 11245 Tax revenue (% of GDP)
#> 11263 Defense expenditure (% of GDP)
#> 11266 Research and development expenditure (% of GDP)
#> 11269 Expenditure, total (% of GDP)
#> 11270 Total expenditure (% of GDP)
#> 11277 Net acquisition of financial assets (% of GDP)
#> 11280 Cash surplus/deficit (% of GDP)
#> 11285 Central government debt, total (% of GDP)
#> 11289 Net incurrence of liabilities, domestic (% of GDP)
#> 11291 Net incurrence of liabilities, foreign (% of GDP)
#> 11293 Net incurrence of liabilities, total (% of GDP)
#> 11295 Net investment in nonfinancial assets (% of GDP)
#> 11297 Net lending (+) / net borrowing (-) (% of GDP)
#> 11308 Revenue, excluding grants (% of GDP)
#> 11323 Tax revenue (% of GDP)
#> 11340 Expense (% of GDP)
#> 11583 Private credit by deposit money banks to GDP (%)
#> 11584 Deposit money banks'' assets to GDP (%)
#> 11585 Nonbank financial institutions’ assets to GDP (%)
#> 11587 Liquid liabilities to GDP (%)
#> 11588 Central bank assets to GDP (%)
#> 11589 Mutual fund assets to GDP (%)
#> 11590 Financial system deposits to GDP (%)
#> 11591 Life insurance premium volume to GDP (%)
#> 11592 Non-life insurance premium volume to GDP (%)
#> 11593 Insurance company assets to GDP (%)
#> 11594 Private credit by deposit money banks and other financial institutions to GDP (%)
#> 11595 Pension fund assets to GDP (%)
#> 11596 Domestic credit to private sector (% of GDP)
#> 11597 Stock market capitalization to GDP (%)
#> 11598 Stock market total value traded to GDP (%)
#> 11599 Outstanding domestic private debt securities to GDP (%)
#> 11600 Outstanding domestic public debt securities to GDP (%)
#> 11601 Outstanding international private debt securities to GDP (%)
#> 11602 Outstanding international public debt securities to GDP (%)
#> 11603 International debt issues to GDP (%)
#> 11604 Gross portfolio equity liabilities to GDP (%)
#> 11605 Gross portfolio equity assets to GDP (%)
#> 11606 Gross portfolio debt liabilities to GDP (%)
#> 11607 Gross portfolio debt assets to GDP (%)
#> 11608 Syndicated loan issuance volume to GDP (%)
#> 11609 Corporate bond issuance volume to GDP (%)
#> 11612 Credit flows by fintech and bigtech companies to GDP (%)
#> 11620 Credit to government and state-owned enterprises to GDP (%)
#> 11625 Bank deposits to GDP (%)
#> 11628 Loans from nonresident banks (net) to GDP (%)
#> 11629 Loans from nonresident banks (amounts outstanding) to GDP (%)
#> 11633 Remittance inflows to GDP (%)
#> 11634 Consolidated foreign claims of BIS reporting banks to GDP (%)
#> 11638 Global leasing volume to GDP (%)
#> 11639 Total factoring volume to GDP (%)
#> 11640 Banking crisis dummy (1=banking crisis, 0=none)
#> 12908 Real annual labor productivity growth (%)
#> 12922 Real annual sales growth (%)
#> 13091 Information and communication technology expenditure (% of GDP)
#> 13158 Nominal GSDP Per Capita (INR)
#> 13159 Nominal GSDP Per Capita (USD)
#> 13160 Real GSDP Per Capita (INR)
#> 13161 Real GSDP Per Capita (INR) Growth Rate
#> 13162 Real GSDP Per Capita (USD)
#> 13163 Real GSDP Per Capita (USD) Growth Rate
#> 13440 Railways, goods transported (ton-km per PPP $ million of GDP)
#> 13442 Railways, passenger-km (per PPP $ million of GDP)
#> 13550 Telecommunications revenue (% GDP)
#> 15558 Sustainable Economic Opportunity
#> 15582 Military expenditure (% of GDP)
#> 15587 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15588 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15589 GDP on Agriculture Sector (in IDR Million), Current Price
#> 15590 GDP on Agriculture Sector (in IDR Million), Constant Price
#> 15591 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Current Price
#> 15592 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Constant Price
#> 15593 GDP on Business Services Sector (in IDR Million), SNA 2008, Current Price
#> 15594 GDP on Business Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15595 GDP on Construction Sector (in IDR Million), Current Price
#> 15596 GDP on Construction Sector (in IDR Million), Constant Price
#> 15597 GDP on Construction Sector (in IDR Million), SNA 2008, Current Price
#> 15598 GDP on Construction Sector (in IDR Million), SNA 2008, Constant Price
#> 15599 GDP on Education Services Sector (in IDR Million), SNA 2008, Current Price
#> 15600 GDP on Education Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15601 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Current Price
#> 15602 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Constant Price
#> 15603 Total GDP excluding Oil and Gas (in IDR Million), Current Price
#> 15604 Total GDP excluding Oil and Gas (in IDR Million), Constant Price
#> 15605 GDP on Financial Service Sector (in IDR Million), Current Price
#> 15606 GDP on Financial Service Sector (in IDR Million), Constant Price
#> 15607 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15608 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15609 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15610 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15611 Total GDP including Oil and Gas (in IDR Million), Current Price
#> 15612 Total GDP including Oil and Gas (in IDR Million), Constant Price
#> 15613 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Current Price
#> 15614 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Constant Price
#> 15615 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Current Price
#> 15616 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Constant Price
#> 15617 GDP on Mining and Quarrying Sector (in IDR Million), Current Price
#> 15618 GDP on Mining and Quarrying Sector (in IDR Million), Constant Price
#> 15619 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Current Price
#> 15620 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Constant Price
#> 15621 GDP on Manufacturing Sector (in IDR Million), Current Price
#> 15622 GDP on Manufacturing Sector (in IDR Million), Constant Price
#> 15623 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Current Price
#> 15624 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Constant Price
#> 15625 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Current Price
#> 15626 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Constant Price
#> 15627 GDP on Real Estate Sector (in IDR Million), SNA 2008, Current Price
#> 15628 GDP on Real Estate Sector (in IDR Million), SNA 2008, Constant Price
#> 15629 GDP on Other Service Sector (in IDR Million), Current Price
#> 15630 GDP on Other Service Sector (in IDR Million), Constant Price
#> 15631 GDP on Other Services Sector (in IDR Million), SNA 2008, Current Price
#> 15632 GDP on Other Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15633 GDP on Transportation and Telecommunication Sector (in IDR Million), Current Price
#> 15634 GDP on Transportation and Telecommunication Sector (in IDR Million), Constant Price
#> 15635 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Current Price
#> 15636 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Constant Price
#> 15637 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Current Price
#> 15638 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Constant Price
#> 15639 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Current Price
#> 15640 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Constant Price
#> 15641 GDP on Utilities Sector (in IDR Million), Current Price
#> 15642 GDP on Utilities Sector (in IDR Million), Constant Price
#> 15643 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Current Price
#> 15644 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Constant Price
#> 15653 General government final consumption expenditure (% of GDP)
#> 15655 Households and NPISHs Final consumption expenditure per capita, PPP (current international $)
#> 15656 Households and NPISHs Final consumption expenditure per capita, PPP (constant 2021 international $)
#> 15666 Household final consumption expenditure, etc. (% of GDP)
#> 15681 Households and NPISHs Final consumption expenditure, PPP (current international $)
#> 15682 Households and NPISHs Final consumption expenditure, PPP (constant 2021 international $)
#> 15683 Households and NPISHs final consumption expenditure (% of GDP)
#> 15693 Final consumption expenditure, etc. (% of GDP)
#> 15701 Total consumption: contribution to growth of GDP (%)
#> 15702 Final consumption expenditure (% of GDP)
#> 15712 Gross national expenditure (% of GDP)
#> 15724 Exports of goods and services (% of GDP)
#> 15726 GDP expenditure on general government consumption (in IDR Million)
#> 15727 GDP expenditure on general government consumption (in IDR Million), SNA 2008, Current Price
#> 15728 GDP expenditure on non profit private institution consumption (in IDR Million)
#> 15729 GDP expenditure on non profit private institution consumption (in IDR Million), SNA 2008, Current Price
#> 15730 GDP expenditure on private consumption (in IDR Million)
#> 15731 GDP expenditure on private consumption (in IDR Million), SNA 2008, Current Price
#> 15732 GDP expenditure on exports (in IDR Million)
#> 15733 GDP expenditure on exports (in IDR Million), SNA 2008, Current Price
#> 15758 Gross fixed capital formation, private sector (% of GDP)
#> 15763 Gross public investment (% of GDP)
#> 15766 GDP expenditure on gross fixed capital formation (in IDR Million)
#> 15773 GDP expenditure on gross fixed capital formation (in IDR Million), SNA 2008, Current Price
#> 15774 Gross fixed capital formation (% of GDP)
#> 15775 GDP expenditure on imports (in IDR Million)
#> 15776 GDP expenditure on imports (in IDR Million), SNA 2008, Current Price
#> 15777 GDP expenditure on inter-region net exports (in IDR Million), SNA 2008, Current Price
#> 15782 GDP expenditure on changes in stock (in IDR Million)
#> 15786 GDP expenditure on changes in stock (in IDR Million), SNA 2008, Current Price
#> 15795 Total GDP based on expenditure (in IDR Million)
#> 15802 Total GDP based on expenditure (in IDR Million), SNA 2008, Current Price
#> 15803 Gross domestic investment: contr. to growth of GDP(%)
#> 15804 Gross capital formation (% of GDP)
#> 15814 Imports of goods and services (% of GDP)
#> 15815 Merchandise trade to GDP ratio (%)
#> 15821 Resource balance: contribution to growth of GDP (%)
#> 15822 External balance on goods and services (% of GDP)
#> 15825 Trade (% of GDP)
#> 15889 Agriculture: contribution to growth of GDP (%)
#> 15893 Industry: contribution to growth of GDP (%)
#> 15899 Services: contribution to growth of GDP (%)
#> 15907 Real agricultural GDP per capita growth rate (%)
#> 15917 Real agricultural GDP growth rates (%)
#> 15918 Agriculture, forestry, and fishing, value added (% of GDP)
#> 15938 Manufacturing, value added (% of GDP)
#> 15952 Industry: contribution to growth of GDP (%)
#> 15953 Industry (including construction), value added (% of GDP)
#> 15971 Discrepancy in GDP, value added (current US$)
#> 15972 Discrepancy in GDP, value added (current LCU)
#> 15973 Discrepancy in GDP, value added (constant LCU)
#> 15990 Services: contribution to growth of GDP (%)
#> 15991 Services, etc., value added (% of GDP)
#> 15997 Services, value added (% of GDP)
#> 16008 Human capital per capita, female (real chained 2019 US$)
#> 16010 Human capital, female (real chained 2019 US$)
#> 16012 Human capital per capita, male (real chained 2019 US$)
#> 16014 Human capital, male (real chained 2019 US$)
#> 16016 Human capital per capita (real chained 2019 US$)
#> 16018 Human capital (real chained 2019 US$)
#> 16020 Renewable natural capital per capita, agricultural land (real chained 2019 US$)
#> 16022 Renewable natural capital, agricultural land (real chained 2019 US$)
#> 16026 Renewable natural capital per capita, fisheries (real chained 2019 US$)
#> 16028 Renewable natural capital, fisheries (real chained 2019 US$)
#> 16042 Renewable natural capital per capita, timber (real chained 2019 US$)
#> 16044 Renewable natural capital, timber (real chained 2019 US$)
#> 16050 Renewable natural capital per capita, mangroves (real chained 2019 US$)
#> 16052 Renewable natural capital, mangroves (real chained 2019 US$)
#> 16070 Nonrenewable natural capital per capita, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16072 Nonrenewable natural capital, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16112 Nonrenewable natural capital per capita, coal (real chained 2019 US$)
#> 16114 Nonrenewable natural capital, coal (real chained 2019 US$)
#> 16116 Nonrenewable natural capital per capita, natural gas (real chained 2019 US$)
#> 16118 Nonrenewable natural capital, natural gas (real chained 2019 US$)
#> 16120 Nonrenewable natural capital per capita, oil (real chained 2019 US$)
#> 16122 Nonrenewable natural capital, oil (real chained 2019 US$)
#> 16124 Nonrenewable natural capital per capita, total (real chained 2019 US$)
#> 16126 Nonrenewable natural capital, total (real chained 2019 US$)
#> 16132 Foreign assets per capita (real chained 2019 US$)
#> 16134 Foreign assets (real chained 2019 US$)
#> 16140 Produced capital per capita (real chained 2019 US$)
#> 16143 Produced capital (real chained 2019 US$)
#> 16146 National comprehensive wealth per capita index (real chained 2019 US$)
#> 16148 National comprehensive wealth index (real chained 2019 US$)
#> 16180 Agricultural support estimate (% of GDP)
#> 16184 Coal rents (% of GDP)
#> 16185 Inflation, GDP deflator (annual %)
#> 16186 Inflation, GDP deflator (annual %)
#> 16187 Inflation, GDP deflator: linked series (annual %)
#> 16188 GDP deflator (base year varies by country)
#> 16189 GDP deflator (1987 = 100)
#> 16190 GDP deflator: linked series (base year varies by country)
#> 16191 Discrepancy in expenditure estimate of GDP (current US$)
#> 16192 Discrepancy in expenditure estimate of GDP (current LCU)
#> 16193 Discrepancy in expenditure estimate of GDP (constant LCU)
#> 16194 Gross value added at basic prices (GVA) (current US$)
#> 16195 Gross value added at basic prices (GVA) (current LCU)
#> 16196 Gross value added at basic prices (GVA) (constant 2015 US$)
#> 16197 GDP at factor cost (constant 1987 US$)
#> 16198 Gross value added at basic prices (GVA) (constant LCU)
#> 16199 GDP at factor cost (constant 1987 LCU)
#> 16200 Forest rents (% of GDP)
#> 16201 Mineral rents (% of GDP)
#> 16202 GDP (current US$)
#> 16203 GDP deflator, index (2000=100; US$ series)
#> 16204 GDP (current LCU)
#> 16205 GDP: linked series (current LCU)
#> 16206 GDP deflator, period average (LCU index 2000=100)
#> 16207 GDP Deflator
#> 16208 GDP (constant 2015 US$)
#> 16209 GDP at market prices (constant 1987 US$)
#> 16210 GDP growth (annual %)
#> 16211 GDP (constant LCU)
#> 16212 GDP at market prices (constant 1987 LCU)
#> 16213 GDP growth (annual %)
#> 16214 GDP, PPP (current international $)
#> 16215 GDP, PPP (constant 2021 international $)
#> 16216 GDP, PPP (constant 1987 international $)
#> 16217 GDP deflator (1987=100,Index)
#> 16218 GDP deflator, end period (base year varies by country)
#> 16219 Gross domestic product (Av. annual growth, %)
#> 16220 Natural gas rents (% of GDP)
#> 16221 GDP per capita (current US$)
#> 16222 GDP per capita (current LCU)
#> 16223 GDP per capita (constant 2015 US$)
#> 16224 GDP per capita growth (annual %)
#> 16225 GDP per capita (constant LCU)
#> 16226 GDP per capita, PPP (current international $)
#> 16227 GDP per capita, PPP (constant 2021 international $)
#> 16228 GDP per capita, PPP (constant 1987 international $)
#> 16229 GDP per capita, PPP annual growth (%)
#> 16230 Oil rents (% of GDP)
#> 16231 Total natural resources rents (% of GDP)
#> 16238 Gross domestic savings (current US$)
#> 16239 Gross domestic savings (current LCU)
#> 16240 Gross domestic savings, total (constant 2000 US$)
#> 16242 Gross domestic savings (constant LCU)
#> 16244 Gross domestic savings (% of GDP)
#> 16245 Gross domestic income (constant 2005 US$)
#> 16247 Gross domestic income (constant LCU)
#> 16249 Genuine savings: education expenditure (% of GDP)
#> 16250 Genuine savings: carbon dioxide damage (% of GDP)
#> 16251 Genuine savings: net forest depletion (% of GDP)
#> 16252 Genuine savings: consumption of fixed capital (% of GDP)
#> 16253 Genuine savings: mineral depletion (% of GDP)
#> 16254 Genuine savings: energy depletion (% of GDP)
#> 16255 Genuine savings: net domestic savings (% of GDP)
#> 16256 Genuine domestic savings (% of GDP)
#> 16268 GNI, PPP (current international $)
#> 16269 GNI, PPP (constant 2021 international $)
#> 16279 GNI per capita, PPP (current international $)
#> 16280 GNI per capita, PPP (constant 2021 international $)
#> 16289 Gross savings (% of GDP)
#> 16327 GDP growth, constant (average 2010-19 prices and exchange rates)
#> 16328 GDP,current US$,millions,seas. adj.,
#> 16329 GDP,current LCU,millions,seas. adj.,
#> 16330 GDP,constant 2010 US$,millions,seas. adj.,
#> 16331 GDP,constant 2010 LCU,millions,seas. adj.,
#> 16407 Price level index (GDP)
#> 16408 PPP conversion factor, GDP (LCU per international $)
#> 16409 2005 PPP conversion factor, GDP (LCU per international $)
#> 16410 Price level ratio of PPP conversion factor (GDP) to market exchange rate
#> 16412 PPP conversion factor, households and NPISHs Final consumption expenditure (LCU per international $)
#> 16471 World Bank: Share of GDP for central government expenditures on education (%)
#> 16479 World Bank: Public capital expenditure on education as % of GDP
#> 16504 World Bank: Public education expenditure per student (% of GDP per capita)
#> 16526 World Bank: Public recurrent expenditure on education (% of GDP)
#> 16535 World Bank: Education salary expenditures as a % of GDP
#> 16544 World Bank: Share of GDP for subnational government expenditures on education (%)
#> 16549 World Bank: Ratio of Teacher Salaries to per capita GDP
#> 16551 World Bank: Total education expenditure as % of GDP
#> 16552 World Bank: Total public education expenditure as % of GDP
#> 16565 World Bank: Share of GDP for education expenditures on basic education (%)
#> 16581 World Bank: Public education expenditure per student (% of GDP per capita), basic
#> 16600 World Bank: Ratio of Teacher Salaries to per capita GDP, basic education
#> 16611 World Bank: Share of GDP lost through inefficiencies (%)
#> 16612 World Bank: Share of GDP potentially saved with improved targeting of education subsidies (%)
#> 16614 World Bank: Share of GDP potentially saved with improved pupil/teacher ratios (%)
#> 16648 World Bank: Public education expenditure per student (% of GDP per capita), junior secondary
#> 16665 World Bank: Ratio of Teacher Salaries to per capita GDP, junior secondary
#> 16681 World Bank: School Feeding Programs (% of GDP)
#> 16762 World Bank: Central Government Transfers for education (% of GDP)
#> 16786 World Bank: Share of GDP for education expenditures on pre-primary education (%)
#> 16791 World Bank: Public education expenditure per student (% of GDP per capita), pre-primary
#> 16841 World Bank: Share of GDP for education expenditures on primary education (%)
#> 16858 World Bank: Public education expenditure per student (% of GDP per capita), primary
#> 16880 World Bank: Primary recurrent expenditures as a share of GDP (%)
#> 16884 World Bank: Ratio of Teacher Salaries to per capita GDP, primary
#> 16936 World Bank: Share of GDP for education expenditures on secondary education (%)
#> 16952 World Bank: Public education expenditure per student (% of GDP per capita), secondary
#> 16975 World Bank: Secondary recurrent expenditures as a share of GDP (%)
#> 16979 World Bank: Ratio of Teacher Salaries to per capita GDP, secondary
#> 17047 World Bank: Total education expenditure from public sources (% of GDP)
#> 17107 World Bank: Total education expenditures from international sources as a % of GDP
#> 17128 World Bank: Total private expenditure on education (% of GDP)
#> 17129 World Bank: Total private expenditure on pre-primary education (% of GDP)
#> 17130 World Bank: Total private expenditure on primary education (% of GDP)
#> 17131 World Bank: Total private expenditure on secondary education (% of GDP)
#> 17132 World Bank: Total private expenditure on tertiary education (% of GDP)
#> 17187 World Bank: Public education expenditure per student (% of GDP per capita), senior secondary
#> 17204 World Bank: Ratio of Teacher Salaries to per capita GDP, senior secondary
#> 17236 World Bank: Share of GDP for education expenditures on tertiary education (%)
#> 17244 World Bank: Public education expenditure per student (% of GDP per capita), tertiary
#> 17264 World Bank: Tertiary recurrent expenditures as a share of GDP (%)
#> 17268 World Bank: Ratio of Teacher Salaries to per capita GDP, tertiary
#> 17291 World Bank: Public education expenditure per student (% of GDP per capita), teacher training
#> 17306 World Bank: Share of GDP for education expenditures on technical/vocational education (%)
#> 17311 World Bank: Public education expenditure per student (% of GDP per capita), technical/vocational education
#> 21507 Total General Allocation Grant/DAU (in IDR)
#> 24330 (Financing) - Does the country spend 4-5% of GDP or 15-20% of public expenditures on education spending?
#> 24703 (De Facto) Average principal salary as percent of GDP per capita
#> 24767 (De Jure) Average starting public-school teacher salary as percent of GDP per capita
#> 24994 Public Expenditure on Education (% GDP)
#> 24999 Public spending on education, primary (% of GDP)
#> 25000 Government expenditure per student, primary (% of GDP per capita)
#> 25003 Public spending on education, secondary (% of GDP)
#> 25004 Government expenditure per student, secondary (% of GDP per capita)
#> 25008 Public spending on education, tertiary (% of GDP)
#> 25009 Government expenditure per student, tertiary (% of GDP per capita)
#> 25012 Government expenditure on education, total (% of GDP)
#> 25032 Rail traffic (km per million US$ GDP)
#> 25912 Maternal mortality ratio (modeled estimate, per 100,000 live births)
#> 26056 Current health expenditure (% of GDP)
#> 26065 Domestic general government health expenditure (% of GDP)
#> 26069 Public Expenditure on Health (% GDP)
#> 26070 Capital health expenditure (% of GDP)
#> 26082 Health expenditure, private (% of GDP)
#> 26085 Health expenditure, public (% of GDP)
#> 26091 Health expenditure, total (% of GDP)
#> 26265 GDP per person employed (constant 2021 PPP $)
#> 26266 GDP per person employed (annual % growth)
#> 26267 GDP per person employed, index (1980 = 100)
#> 27003 Classification of national industry
#> 27005 Classification of household consumption
#> 27010 Finance Indicator based on PARIS21 indicators on SDG 17.18.3 & SDG 17.19.1
#> 27045 Trade (% of GDP, PPP)
#> 27046 Merchandise trade (% of GDP)
#> 27047 Trade in goods (% of goods GDP)
#> 29254 Government expenditure on pre-primary education, constant PPP$ (millions)
#> 29255 Government expenditure on primary education, constant PPP$ (millions)
#> 29256 Government expenditure on lower secondary education, constant PPP$ (millions)
#> 29257 Government expenditure on secondary education, constant PPP$ (millions)
#> 29258 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant PPP$ (millions)
#> 29259 Government expenditure on upper secondary education, constant PPP$ (millions)
#> 29260 Government expenditure on post-secondary non-tertiary education, constant PPP$ (millions)
#> 29261 Government expenditure on tertiary education, constant PPP$ (millions)
#> 29262 Government expenditure on education, constant PPP$ (millions)
#> 29263 Government expenditure on education not specified by level, constant PPP$ (millions)
#> 29274 Government expenditure on pre-primary education, constant US$ (millions)
#> 29275 Government expenditure on primary education, constant US$ (millions)
#> 29276 Government expenditure on lower secondary education, constant US$ (millions)
#> 29277 Government expenditure on secondary education, constant US$ (millions)
#> 29278 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant US$ (millions)
#> 29279 Government expenditure on upper secondary education, constant US$ (millions)
#> 29280 Government expenditure on post-secondary non-tertiary education, constant US$ (millions)
#> 29281 Government expenditure on tertiary education, constant US$ (millions)
#> 29282 Government expenditure on education, constant US$ (millions)
#> 29283 Government expenditure on education not specified by level, constant US$ (millions)
#> 29284 Government expenditure on pre-primary education as % of GDP (%)
#> 29285 Government expenditure on primary education as % of GDP (%)
#> 29286 Government expenditure on lower secondary education as a percentage of GDP (%)
#> 29287 Government expenditure on secondary education as % of GDP (%)
#> 29288 Government expenditure on secondary and post-secondary non-tertiary vocational education as % of GDP (%)
#> 29289 Government expenditure on upper secondary education as a percentage of GDP (%)
#> 29290 Government expenditure on post-secondary non-tertiary education as % of GDP (%)
#> 29291 Government expenditure on tertiary education as % of GDP (%)
#> 29341 Initial government funding per pre-primary student as a percentage of GDP per capita
#> 29342 Initial government funding per primary student as a percentage of GDP per capita
#> 29343 Initial household funding per primary student as a percentage of GDP per capita
#> 29344 Initial government funding per lower secondary student as a percentage of GDP per capita
#> 29345 Initial government funding per secondary student as a percentage of GDP per capita
#> 29346 Initial household funding per secondary student as a percentage of GDP per capita
#> 29347 Initial government funding per upper secondary student as a percentage of GDP per capita
#> 29348 Initial government funding per tertiary student as a percentage of GDP per capita
#> 29349 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
#> 2096 <NA> 2 World Development Indicators
#> 2097 <NA> 57 WDI Database Archives
#> 2098 <NA> 57 WDI Database Archives
#> 2099 <NA> 57 WDI Database Archives
#> 2100 <NA> 57 WDI Database Archives
#> 2401 <NA> 64 Worldwide Bureaucracy Indicators
#> 2424 <NA> 57 WDI Database Archives
#> 2436 <NA> 57 WDI Database Archives
#> 2437 <NA> 2 World Development Indicators
#> 2450 <NA> 2 World Development Indicators
#> 2451 <NA> 57 WDI Database Archives
#> 2454 <NA> 57 WDI Database Archives
#> 2457 <NA> 11 Africa Development Indicators
#> 2463 <NA> 11 Africa Development Indicators
#> 2472 <NA> 11 Africa Development Indicators
#> 2474 <NA> 57 WDI Database Archives
#> 2480 <NA> 11 Africa Development Indicators
#> 2491 <NA> 11 Africa Development Indicators
#> 2540 <NA> 57 WDI Database Archives
#> 2552 <NA> 57 WDI Database Archives
#> 2554 <NA> 2 World Development Indicators
#> 2563 <NA> 11 Africa Development Indicators
#> 2569 <NA> 2 World Development Indicators
#> 2570 <NA> 11 Africa Development Indicators
#> 2867 <NA> 87 Country Climate and Development Report (CCDR)
#> 2868 <NA> 87 Country Climate and Development Report (CCDR)
#> 2943 <NA> 87 Country Climate and Development Report (CCDR)
#> 2944 <NA> 87 Country Climate and Development Report (CCDR)
#> 2967 <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)
#> 3032 <NA> 87 Country Climate and Development Report (CCDR)
#> 3033 <NA> 87 Country Climate and Development Report (CCDR)
#> 3042 <NA> 87 Country Climate and Development Report (CCDR)
#> 3135 <NA> 57 WDI Database Archives
#> 3138 <NA> 2 World Development Indicators
#> 3141 <NA> 2 World Development Indicators
#> 4289 <NA> 20 Quarterly Public Sector Debt
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#> 4792 <NA> 20 Quarterly Public Sector Debt
#> 4795 <NA> 20 Quarterly Public Sector Debt
#> 4798 <NA> 20 Quarterly Public Sector Debt
#> 4803 <NA> 20 Quarterly Public Sector Debt
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#> 4843 <NA> 20 Quarterly Public Sector Debt
#> 4846 <NA> 20 Quarterly Public Sector Debt
#> 4849 <NA> 20 Quarterly Public Sector Debt
#> 5345 <NA> 11 Africa Development Indicators
#> 5348 <NA> 11 Africa Development Indicators
#> 5349 <NA> 11 Africa Development Indicators
#> 5503 <NA> 11 Africa Development Indicators
#> 7122 <NA> 11 Africa Development Indicators
#> 7193 <NA> 11 Africa Development Indicators
#> 7198 <NA> 11 Africa Development Indicators
#> 7206 <NA> 11 Africa Development Indicators
#> 7212 <NA> 11 Africa Development Indicators
#> 7362 <NA> 11 Africa Development Indicators
#> 7759 <NA> 60 Economic Fitness
#> 7762 <NA> 70 Economic Fitness 2
#> 7766 <NA> 2 World Development Indicators
#> 7790 <NA> 57 WDI Database Archives
#> 7791 <NA> 57 WDI Database Archives
#> 7792 <NA> 2 World Development Indicators
#> 7793 <NA> 2 World Development Indicators
#> 7801 <NA> 2 World Development Indicators
#> 7920 <NA> 57 WDI Database Archives
#> 7924 <NA> 57 WDI Database Archives
#> 7925 <NA> 57 WDI Database Archives
#> 7930 <NA> 57 WDI Database Archives
#> 7931 <NA> 57 WDI Database Archives
#> 8016 <NA> 2 World Development Indicators
#> 8017 <NA> 2 World Development Indicators
#> 8100 <NA> 2 World Development Indicators
#> 8118 <NA> 57 WDI Database Archives
#> 8172 <NA> 57 WDI Database Archives
#> 8525 <NA> 2 World Development Indicators
#> 8634 <NA> 11 Africa Development Indicators
#> 10993 <NA> 11 Africa Development Indicators
#> 11002 <NA> 2 World Development Indicators
#> 11011 <NA> 2 World Development Indicators
#> 11018 <NA> 57 WDI Database Archives
#> 11019 <NA> 57 WDI Database Archives
#> 11021 <NA> 57 WDI Database Archives
#> 11026 <NA> 57 WDI Database Archives
#> 11027 <NA> 57 WDI Database Archives
#> 11083 <NA> 11 Africa Development Indicators
#> 11092 <NA> 2 World Development Indicators
#> 11097 <NA> 2 World Development Indicators
#> 11098 <NA> 2 World Development Indicators
#> 11099 <NA> 2 World Development Indicators
#> 11100 <NA> 57 WDI Database Archives
#> 11102 <NA> 2 World Development Indicators
#> 11103 <NA> 57 WDI Database Archives
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#> 11189 <NA> 57 WDI Database Archives
#> 11190 <NA> 57 WDI Database Archives
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#> 11203 <NA> 57 WDI Database Archives
#> 11205 <NA> 11 Africa Development Indicators
#> 11208 <NA> 57 WDI Database Archives
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#> 11212 <NA> 57 WDI Database Archives
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#> 11216 <NA> 57 WDI Database Archives
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#> 11244 <NA> 57 WDI Database Archives
#> 11245 <NA> 57 WDI Database Archives
#> 11263 <NA> 57 WDI Database Archives
#> 11266 <NA> 2 World Development Indicators
#> 11269 <NA> 57 WDI Database Archives
#> 11270 <NA> 57 WDI Database Archives
#> 11277 <NA> 2 World Development Indicators
#> 11280 <NA> 57 WDI Database Archives
#> 11285 <NA> 2 World Development Indicators
#> 11289 <NA> 57 WDI Database Archives
#> 11291 <NA> 57 WDI Database Archives
#> 11293 <NA> 2 World Development Indicators
#> 11295 <NA> 2 World Development Indicators
#> 11297 <NA> 2 World Development Indicators
#> 11308 <NA> 2 World Development Indicators
#> 11323 <NA> 2 World Development Indicators
#> 11340 <NA> 2 World Development Indicators
#> 11583 <NA> 32 Global Financial Development
#> 11584 <NA> 32 Global Financial Development
#> 11585 <NA> 32 Global Financial Development
#> 11587 <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
#> 11612 <NA> 32 Global Financial Development
#> 11620 <NA> 32 Global Financial Development
#> 11625 <NA> 32 Global Financial Development
#> 11628 <NA> 32 Global Financial Development
#> 11629 <NA> 32 Global Financial Development
#> 11633 <NA> 32 Global Financial Development
#> 11634 <NA> 32 Global Financial Development
#> 11638 <NA> 32 Global Financial Development
#> 11639 <NA> 32 Global Financial Development
#> 11640 <NA> 32 Global Financial Development
#> 12908 <NA> 13 Enterprise Surveys
#> 12922 <NA> 13 Enterprise Surveys
#> 13091 <NA> 11 Africa Development Indicators
#> 13158 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 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)
#> 13440 <NA> 57 WDI Database Archives
#> 13442 <NA> 57 WDI Database Archives
#> 13550 <NA> 11 Africa Development Indicators
#> 15558 <NA> 11 Africa Development Indicators
#> 15582 <NA> 2 World Development Indicators
#> 15587 <NA> 45 Indonesia Database for Policy and Economic Research
#> 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
#> 15653 <NA> 2 World Development Indicators
#> 15655 <NA> 2 World Development Indicators
#> 15656 <NA> 2 World Development Indicators
#> 15666 <NA> 57 WDI Database Archives
#> 15681 <NA> 2 World Development Indicators
#> 15682 <NA> 2 World Development Indicators
#> 15683 <NA> 2 World Development Indicators
#> 15693 <NA> 57 WDI Database Archives
#> 15701 <NA> 57 WDI Database Archives
#> 15702 <NA> 2 World Development Indicators
#> 15712 <NA> 2 World Development Indicators
#> 15724 <NA> 2 World Development Indicators
#> 15726 <NA> 45 Indonesia Database for Policy and Economic Research
#> 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
#> 15758 <NA> 2 World Development Indicators
#> 15763 <NA> 11 Africa Development Indicators
#> 15766 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15773 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15774 <NA> 2 World Development Indicators
#> 15775 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15776 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15777 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15782 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15786 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15795 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15802 <NA> 45 Indonesia Database for Policy and Economic Research
#> 15803 <NA> 57 WDI Database Archives
#> 15804 <NA> 2 World Development Indicators
#> 15814 <NA> 2 World Development Indicators
#> 15815 <NA> 11 Africa Development Indicators
#> 15821 <NA> 57 WDI Database Archives
#> 15822 <NA> 2 World Development Indicators
#> 15825 <NA> 2 World Development Indicators
#> 15889 <NA> 57 WDI Database Archives
#> 15893 <NA> 57 WDI Database Archives
#> 15899 <NA> 57 WDI Database Archives
#> 15907 <NA> 11 Africa Development Indicators
#> 15917 <NA> 11 Africa Development Indicators
#> 15918 <NA> 2 World Development Indicators
#> 15938 <NA> 2 World Development Indicators
#> 15952 <NA> 57 WDI Database Archives
#> 15953 <NA> 2 World Development Indicators
#> 15971 <NA> 11 Africa Development Indicators
#> 15972 <NA> 11 Africa Development Indicators
#> 15973 <NA> 11 Africa Development Indicators
#> 15990 <NA> 57 WDI Database Archives
#> 15991 <NA> 57 WDI Database Archives
#> 15997 <NA> 2 World Development Indicators
#> 16008 <NA> 59 Wealth Accounts
#> 16010 <NA> 59 Wealth Accounts
#> 16012 <NA> 59 Wealth Accounts
#> 16014 <NA> 59 Wealth Accounts
#> 16016 <NA> 59 Wealth Accounts
#> 16018 <NA> 59 Wealth Accounts
#> 16020 <NA> 59 Wealth Accounts
#> 16022 <NA> 59 Wealth Accounts
#> 16026 <NA> 59 Wealth Accounts
#> 16028 <NA> 59 Wealth Accounts
#> 16042 <NA> 59 Wealth Accounts
#> 16044 <NA> 59 Wealth Accounts
#> 16050 <NA> 59 Wealth Accounts
#> 16052 <NA> 59 Wealth Accounts
#> 16070 <NA> 59 Wealth Accounts
#> 16072 <NA> 59 Wealth Accounts
#> 16112 <NA> 59 Wealth Accounts
#> 16114 <NA> 59 Wealth Accounts
#> 16116 <NA> 59 Wealth Accounts
#> 16118 <NA> 59 Wealth Accounts
#> 16120 <NA> 59 Wealth Accounts
#> 16122 <NA> 59 Wealth Accounts
#> 16124 <NA> 59 Wealth Accounts
#> 16126 <NA> 59 Wealth Accounts
#> 16132 <NA> 59 Wealth Accounts
#> 16134 <NA> 59 Wealth Accounts
#> 16140 <NA> 59 Wealth Accounts
#> 16143 <NA> 59 Wealth Accounts
#> 16146 <NA> 59 Wealth Accounts
#> 16148 <NA> 59 Wealth Accounts
#> 16180 <NA> 19 Millennium Development Goals
#> 16184 <NA> 2 World Development Indicators
#> 16185 <NA> 57 WDI Database Archives
#> 16186 <NA> 2 World Development Indicators
#> 16187 <NA> 2 World Development Indicators
#> 16188 <NA> 2 World Development Indicators
#> 16189 <NA> 57 WDI Database Archives
#> 16190 <NA> 2 World Development Indicators
#> 16191 <NA> 11 Africa Development Indicators
#> 16192 <NA> 2 World 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> 57 WDI Database Archives
#> 16198 <NA> 2 World Development Indicators
#> 16199 <NA> 57 WDI Database Archives
#> 16200 <NA> 2 World Development Indicators
#> 16201 <NA> 2 World Development Indicators
#> 16202 <NA> 2 World Development Indicators
#> 16203 <NA> 11 Africa Development Indicators
#> 16204 <NA> 2 World Development Indicators
#> 16205 <NA> 2 World Development Indicators
#> 16206 <NA> 11 Africa Development Indicators
#> 16207 <NA> 57 WDI Database Archives
#> 16208 <NA> 2 World Development Indicators
#> 16209 <NA> 57 WDI Database Archives
#> 16210 <NA> 2 World Development Indicators
#> 16211 <NA> 2 World Development Indicators
#> 16212 <NA> 57 WDI Database Archives
#> 16213 <NA> 57 WDI Database Archives
#> 16214 <NA> 2 World Development Indicators
#> 16215 <NA> 2 World Development Indicators
#> 16216 <NA> 57 WDI Database Archives
#> 16217 <NA> 57 WDI Database Archives
#> 16218 <NA> 11 Africa Development Indicators
#> 16219 <NA> 57 WDI Database Archives
#> 16220 <NA> 2 World Development Indicators
#> 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> 57 WDI Database Archives
#> 16229 <NA> 11 Africa Development Indicators
#> 16230 <NA> 2 World Development Indicators
#> 16231 <NA> 2 World Development Indicators
#> 16238 <NA> 2 World Development Indicators
#> 16239 <NA> 2 World Development Indicators
#> 16240 <NA> 11 Africa Development Indicators
#> 16242 <NA> 57 WDI Database Archives
#> 16244 <NA> 2 World Development Indicators
#> 16245 <NA> 57 WDI Database Archives
#> 16247 <NA> 2 World Development Indicators
#> 16249 <NA> 57 WDI Database Archives
#> 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
#> 16268 <NA> 2 World Development Indicators
#> 16269 <NA> 2 World Development Indicators
#> 16279 <NA> 2 World Development Indicators
#> 16280 <NA> 2 World Development Indicators
#> 16289 <NA> 2 World Development Indicators
#> 16327 <NA> 27 Global Economic Prospects
#> 16328 <NA> 15 Global Economic Monitor
#> 16329 <NA> 15 Global Economic Monitor
#> 16330 <NA> 15 Global Economic Monitor
#> 16331 <NA> 15 Global Economic Monitor
#> 16407 <NA> 2 World Development Indicators
#> 16408 <NA> 2 World Development Indicators
#> 16409 <NA> 57 WDI Database Archives
#> 16410 <NA> 57 WDI Database Archives
#> 16412 <NA> 2 World Development Indicators
#> 16471 <NA> 12 Education Statistics
#> 16479 <NA> 12 Education Statistics
#> 16504 <NA> 12 Education Statistics
#> 16526 <NA> 12 Education Statistics
#> 16535 <NA> 12 Education Statistics
#> 16544 <NA> 12 Education Statistics
#> 16549 <NA> 12 Education Statistics
#> 16551 <NA> 12 Education Statistics
#> 16552 <NA> 12 Education Statistics
#> 16565 <NA> 12 Education Statistics
#> 16581 <NA> 12 Education Statistics
#> 16600 <NA> 12 Education Statistics
#> 16611 <NA> 12 Education Statistics
#> 16612 <NA> 12 Education Statistics
#> 16614 <NA> 12 Education Statistics
#> 16648 <NA> 12 Education Statistics
#> 16665 <NA> 12 Education Statistics
#> 16681 <NA> 12 Education Statistics
#> 16762 <NA> 12 Education Statistics
#> 16786 <NA> 12 Education Statistics
#> 16791 <NA> 12 Education Statistics
#> 16841 <NA> 12 Education Statistics
#> 16858 <NA> 12 Education Statistics
#> 16880 <NA> 12 Education Statistics
#> 16884 <NA> 12 Education Statistics
#> 16936 <NA> 12 Education Statistics
#> 16952 <NA> 12 Education Statistics
#> 16975 <NA> 12 Education Statistics
#> 16979 <NA> 12 Education Statistics
#> 17047 <NA> 12 Education Statistics
#> 17107 <NA> 12 Education Statistics
#> 17128 <NA> 12 Education Statistics
#> 17129 <NA> 12 Education Statistics
#> 17130 <NA> 12 Education Statistics
#> 17131 <NA> 12 Education Statistics
#> 17132 <NA> 12 Education Statistics
#> 17187 <NA> 12 Education Statistics
#> 17204 <NA> 12 Education Statistics
#> 17236 <NA> 12 Education Statistics
#> 17244 <NA> 12 Education Statistics
#> 17264 <NA> 12 Education Statistics
#> 17268 <NA> 12 Education Statistics
#> 17291 <NA> 12 Education Statistics
#> 17306 <NA> 12 Education Statistics
#> 17311 <NA> 12 Education Statistics
#> 21507 <NA> 45 Indonesia Database for Policy and Economic Research
#> 24330 <NA> 84 Education Policy
#> 24703 <NA> 12 Education Statistics
#> 24767 <NA> 12 Education Statistics
#> 24994 <NA> 57 WDI Database Archives
#> 24999 <NA> 57 WDI Database Archives
#> 25000 <NA> 2 World Development Indicators
#> 25003 <NA> 57 WDI Database Archives
#> 25004 <NA> 2 World Development Indicators
#> 25008 <NA> 57 WDI Database Archives
#> 25009 <NA> 2 World Development Indicators
#> 25012 <NA> 2 World Development Indicators
#> 25032 <NA> 57 WDI Database Archives
#> 25912 <NA> 2 World Development Indicators
#> 26056 <NA> 2 World Development Indicators
#> 26065 <NA> 2 World Development Indicators
#> 26069 <NA> 57 WDI Database Archives
#> 26070 <NA> 16 Health Nutrition and Population Statistics
#> 26082 <NA> 57 WDI Database Archives
#> 26085 <NA> 57 WDI Database Archives
#> 26091 <NA> 57 WDI Database Archives
#> 26265 <NA> 2 World Development Indicators
#> 26266 <NA> 11 Africa Development Indicators
#> 26267 <NA> 57 WDI Database Archives
#> 27003 <NA> 83 Statistical Performance Indicators (SPI)
#> 27005 <NA> 83 Statistical Performance Indicators (SPI)
#> 27010 <NA> 83 Statistical Performance Indicators (SPI)
#> 27045 <NA> 57 WDI Database Archives
#> 27046 <NA> 2 World Development Indicators
#> 27047 <NA> 57 WDI Database Archives
#> 29254 <NA> 12 Education Statistics
#> 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
#> 29274 <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
#> 29341 <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
#> 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.
#> 2096 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.
#> 2097 <NA>
#> 2098 <NA>
#> 2099 <NA>
#> 2100 <NA>
#> 2401 <NA>
#> 2424 <NA>
#> 2436 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.
#> 2437 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.
#> 2450 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.
#> 2451 <NA>
#> 2454 <NA>
#> 2457 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.
#> 2463 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.
#> 2472 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.
#> 2474 <NA>
#> 2480 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.
#> 2491 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.
#> 2540 <NA>
#> 2552 <NA>
#> 2554 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.
#> 2563 Migrants’ remittances are defined as the sum of worker’s remittances,
#> 2569 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.
#> 2570 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.
#> 2867 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.
#> 2868 <NA>
#> 2943 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.
#> 2944 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.
#> 2967 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.
#> 2968 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.
#> 2969 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.
#> 3032 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.
#> 3033 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.
#> 3042 <NA>
#> 3135 <NA>
#> 3138 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.
#> 3141 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.
#> 4289 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4292 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4295 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4298 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4301 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4306 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4309 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4312 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4315 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4318 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4323 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4326 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4329 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4332 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4335 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4340 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4343 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4346 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4349 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4352 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4357 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4360 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4363 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4366 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4369 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4374 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4377 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4380 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4383 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4386 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4389 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4392 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4395 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4398 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4403 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4406 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4409 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4412 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4415 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4420 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4424 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4426 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4428 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4430 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4432 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4434 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4436 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4438 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4440 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4442 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4445 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4448 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4451 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4454 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4457 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4460 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4463 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4466 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4469 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4474 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4477 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4480 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4483 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4486 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4491 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4494 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4497 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4500 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4503 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4508 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4513 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4516 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4519 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4522 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4525 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4528 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4531 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4534 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4537 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4542 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4545 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4548 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4551 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4554 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4559 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4564 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4567 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4570 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4573 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4576 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4579 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4582 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4585 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4588 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4593 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4596 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4599 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4602 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4605 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4610 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4615 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4618 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4621 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4624 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4627 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4630 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4633 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4636 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4639 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4644 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4647 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4650 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4653 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4656 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4661 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4666 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4669 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4672 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4675 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4678 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4681 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4684 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4687 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4690 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4695 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4700 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4703 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4706 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4709 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4712 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4715 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4718 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4721 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4724 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4729 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4732 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4735 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4738 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4741 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4746 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4752 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4755 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4758 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4761 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4764 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4769 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4772 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4775 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4778 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4781 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4786 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4789 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4792 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4795 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4798 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4803 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4806 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4809 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4812 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4815 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4820 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4823 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4826 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4829 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4832 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4837 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4840 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4843 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4846 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4849 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 5345 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.
#> 5348 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.
#> 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 divided by GDP at market prices in current U.S. dollars to facilitate comparison across economies.
#> 5503 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.
#> 7122 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.
#> 7193 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.
#> 7198 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.
#> 7206 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.
#> 7212 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).
#> 7362 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.
#> 7759 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.
#> 7762 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.
#> 7766 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.
#> 7790 <NA>
#> 7791 <NA>
#> 7792 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.
#> 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 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.
#> 7801 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.
#> 7920 <NA>
#> 7924 <NA>
#> 7925 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.
#> 7930 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.
#> 8016 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$.
#> 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 2021 PPP $.
#> 8100 Water productivity is calculated as GDP in constant prices divided by annual total water withdrawal.
#> 8118 <NA>
#> 8172 <NA>
#> 8525 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.
#> 8634 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.
#> 10993 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.
#> 11002 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.
#> 11011 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.
#> 11018 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).
#> 11019 <NA>
#> 11021 <NA>
#> 11026 <NA>
#> 11027 <NA>
#> 11083 Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator.
#> 11092 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.
#> 11097 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.
#> 11098 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.
#> 11099 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.
#> 11100 <NA>
#> 11102 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.
#> 11103 <NA>
#> 11104 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.
#> 11105 <NA>
#> 11106 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).
#> 11169 <NA>
#> 11170 <NA>
#> 11179 <NA>
#> 11180 <NA>
#> 11184 <NA>
#> 11185 <NA>
#> 11189 <NA>
#> 11190 <NA>
#> 11200 <NA>
#> 11203 <NA>
#> 11205 Central government revenues, excluding all grants.
#> 11208 <NA>
#> 11210 <NA>
#> 11212 <NA>
#> 11213 <NA>
#> 11216 <NA>
#> 11217 <NA>
#> 11218 <NA>
#> 11219 <NA>
#> 11244 <NA>
#> 11245 <NA>
#> 11263 <NA>
#> 11266 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.
#> 11269 <NA>
#> 11270 <NA>
#> 11277 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.
#> 11280 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).
#> 11285 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.
#> 11289 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.
#> 11291 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.
#> 11293 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.
#> 11295 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.
#> 11297 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.
#> 11308 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.
#> 11323 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.
#> 11340 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.
#> 11583 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).
#> 11584 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).
#> 11585 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).
#> 11587 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.
#> 11588 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).
#> 11589 Data taken from a variety of sources such as Investment Company Institute and national sources.
#> 11590 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).
#> 11591 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.
#> 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 Data taken from a variety of sources such as AXCO and national sources.
#> 11594 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)
#> 11595 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.
#> 11596 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.
#> 11597 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).
#> 11598 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).
#> 11599 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.
#> 11600 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.
#> 11601 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.
#> 11602 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.
#> 11603 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.
#> 11604 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).
#> 11605 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).
#> 11606 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).
#> 11607 <NA>
#> 11608 <NA>
#> 11609 <NA>
#> 11612 <NA>
#> 11620 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).
#> 11625 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).
#> 11628 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.
#> 11629 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.
#> 11633 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.
#> 11634 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.
#> 11638 Ratios calculated by source.
#> 11639 GDP data provided by IFS and converted into USD using IFS exchange rates.
#> 11640 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.
#> 12908 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.
#> 12922 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.
#> 13091 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.
#> 13158 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.
#> 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 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.
#> 13161 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.
#> 13162 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.
#> 13163 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.
#> 13440 <NA>
#> 13442 <NA>
#> 13550 Telecommunications revenue is the revenue from the provision of telecommunications services such as fixed-line, mobile, and data.
#> 15558 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.
#> 15582 Military expenditure by country as percentage of gross domestic product
#> 15587 <NA>
#> 15588 <NA>
#> 15589 <NA>
#> 15590 <NA>
#> 15591 <NA>
#> 15592 <NA>
#> 15593 <NA>
#> 15594 <NA>
#> 15595 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.
#> 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 <NA>
#> 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 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).
#> 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 <NA>
#> 15620 <NA>
#> 15621 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.
#> 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 <NA>
#> 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>
#> 15653 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.
#> 15655 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.
#> 15656 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.
#> 15666 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.
#> 15681 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.
#> 15682 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.
#> 15683 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.
#> 15693 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.
#> 15701 <NA>
#> 15702 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.
#> 15712 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.
#> 15724 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.
#> 15726 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.
#> 15727 <NA>
#> 15728 <NA>
#> 15729 <NA>
#> 15730 <NA>
#> 15731 <NA>
#> 15732 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.
#> 15733 <NA>
#> 15758 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.
#> 15763 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.
#> 15766 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.
#> 15773 <NA>
#> 15774 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.
#> 15775 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.
#> 15776 <NA>
#> 15777 <NA>
#> 15782 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.
#> 15786 <NA>
#> 15795 <NA>
#> 15802 <NA>
#> 15803 <NA>
#> 15804 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.
#> 15814 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.
#> 15815 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.
#> 15821 <NA>
#> 15822 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.
#> 15825 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.
#> 15889 <NA>
#> 15893 <NA>
#> 15899 <NA>
#> 15907 The growth rate of real per capita GDP in agriculture, expressed at an annual rate.
#> 15917 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.
#> 15918 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.
#> 15938 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.
#> 15952 <NA>
#> 15953 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.
#> 15971 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.
#> 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 local currency.
#> 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 constant local currency.
#> 15990 <NA>
#> 15991 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.
#> 15997 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.
#> 16008 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.
#> 16010 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.
#> 16012 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.
#> 16014 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.
#> 16016 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.
#> 16018 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.
#> 16020 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.
#> 16022 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.
#> 16026 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.
#> 16028 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.
#> 16042 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.
#> 16044 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.
#> 16050 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.
#> 16052 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.
#> 16070 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.
#> 16072 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.
#> 16112 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.
#> 16114 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.
#> 16116 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.
#> 16118 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.
#> 16120 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.
#> 16122 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.
#> 16124 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.
#> 16126 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.
#> 16132 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.
#> 16134 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.
#> 16140 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.
#> 16143 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.
#> 16146 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.
#> 16148 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.
#> 16180 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.
#> 16184 Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production.
#> 16185 <NA>
#> 16186 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.
#> 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. 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.
#> 16188 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).
#> 16189 <NA>
#> 16190 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).
#> 16191 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.
#> 16192 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.
#> 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 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.
#> 16194 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.
#> 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 series is expressed in local currency units.
#> 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 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.
#> 16197 <NA>
#> 16198 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.
#> 16199 <NA>
#> 16200 Forest rents are roundwood harvest times the product of regional prices and a regional rental rate.
#> 16201 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.
#> 16202 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.
#> 16203 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.
#> 16204 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.
#> 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 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.
#> 16206 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.
#> 16207 <NA>
#> 16208 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.
#> 16209 <NA>
#> 16210 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.
#> 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 is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment varies by country. This series is expressed in local currency units.
#> 16212 <NA>
#> 16213 <NA>
#> 16214 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.
#> 16215 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.
#> 16216 <NA>
#> 16217 <NA>
#> 16218 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.
#> 16219 <NA>
#> 16220 Natural gas rents are the difference between the value of natural gas production at regional prices and total costs of production.
#> 16221 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. 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.
#> 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 series is expressed in local currency units.
#> 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 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.
#> 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 denotes the percentage change over each previous year of the constant price (base year 2015) series 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 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.
#> 16226 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.
#> 16227 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.
#> 16228 <NA>
#> 16229 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.
#> 16230 Oil rents are the difference between the value of crude oil production at regional prices and total costs of production.
#> 16231 Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.
#> 16238 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.
#> 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 series is expressed in local currency units.
#> 16240 Gross domestic savings are calculated as the difference between GDP and total consumption. Data are in constant 2000 U.S. dollars.
#> 16242 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in constant local currency.
#> 16244 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.
#> 16245 Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant 2010 U.S. dollars.
#> 16247 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.
#> 16249 <NA>
#> 16250 <NA>
#> 16251 <NA>
#> 16252 <NA>
#> 16253 <NA>
#> 16254 <NA>
#> 16255 <NA>
#> 16256 <NA>
#> 16268 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.
#> 16269 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.
#> 16279 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.
#> 16280 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.
#> 16289 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.
#> 16327 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.
#> 16328 <NA>
#> 16329 <NA>
#> 16330 <NA>
#> 16331 <NA>
#> 16407 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.
#> 16408 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.
#> 16409 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.
#> 16410 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.
#> 16412 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.
#> 16471 <NA>
#> 16479 <NA>
#> 16504 <NA>
#> 16526 <NA>
#> 16535 <NA>
#> 16544 <NA>
#> 16549 <NA>
#> 16551 <NA>
#> 16552 <NA>
#> 16565 <NA>
#> 16581 <NA>
#> 16600 <NA>
#> 16611 <NA>
#> 16612 <NA>
#> 16614 <NA>
#> 16648 <NA>
#> 16665 <NA>
#> 16681 <NA>
#> 16762 <NA>
#> 16786 <NA>
#> 16791 <NA>
#> 16841 <NA>
#> 16858 <NA>
#> 16880 <NA>
#> 16884 <NA>
#> 16936 <NA>
#> 16952 <NA>
#> 16975 <NA>
#> 16979 <NA>
#> 17047 <NA>
#> 17107 <NA>
#> 17128 <NA>
#> 17129 <NA>
#> 17130 <NA>
#> 17131 <NA>
#> 17132 <NA>
#> 17187 <NA>
#> 17204 <NA>
#> 17236 <NA>
#> 17244 <NA>
#> 17264 <NA>
#> 17268 <NA>
#> 17291 <NA>
#> 17306 <NA>
#> 17311 <NA>
#> 21507 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.
#> 24330 <NA>
#> 24703 <NA>
#> 24767 <NA>
#> 24994 <NA>
#> 24999 <NA>
#> 25000 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.
#> 25003 <NA>
#> 25004 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.
#> 25008 <NA>
#> 25009 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.
#> 25012 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.
#> 25032 <NA>
#> 25912 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).
#> 26056 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.
#> 26065 Public expenditure on health from domestic sources as a share of the economy as measured by GDP.
#> 26069 <NA>
#> 26070 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.
#> 26082 Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.
#> 26085 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.
#> 26091 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.
#> 26265 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.
#> 26266 GDP per person employed is gross domestic product (GDP) divided by total employment in the economy.
#> 26267 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.
#> 27003 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.
#> 27005 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.
#> 27010 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.
#> 27045 <NA>
#> 27046 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.
#> 27047 <NA>
#> 29254 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/
#> 29255 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/
#> 29256 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/
#> 29257 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/
#> 29258 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/
#> 29259 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/
#> 29260 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/
#> 29261 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/
#> 29262 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/
#> 29263 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/
#> 29274 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/
#> 29275 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/
#> 29276 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/
#> 29277 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/
#> 29278 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/
#> 29279 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/
#> 29280 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/
#> 29281 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/
#> 29282 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/
#> 29283 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/
#> 29284 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/
#> 29285 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/
#> 29286 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/
#> 29287 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/
#> 29288 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/
#> 29289 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/
#> 29290 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/
#> 29291 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/
#> 29341 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/
#> 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 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/
#> 29344 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/
#> 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 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/
#> 29347 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/
#> 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 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)
#> 2096 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)
#> 2097 <NA>
#> 2098 <NA>
#> 2099 <NA>
#> 2100 <NA>
#> 2401 <NA>
#> 2424 <NA>
#> 2436 International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.
#> 2437 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
#> 2450 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)
#> 2451 <NA>
#> 2454 <NA>
#> 2457 World Bank country economists.
#> 2463 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 2472 World Bank country economists.
#> 2474 <NA>
#> 2480 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 2491 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 2540 <NA>
#> 2552 <NA>
#> 2554 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)
#> 2563 World Bank staff estimates based on the International Monetary Fund's Balance of Payments Statistics Yearbook 2008, and World Bank and OECD GDP estimates.
#> 2569 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)
#> 2570 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 2867 Policy Instrument for the Environment Data Base, OECD. Available at: https://www.oecd.org/env/indicators-modelling-outlooks/policy-instrument-database/
#> 2868 <NA>
#> 2943 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 2944 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 2967 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
#> 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
#> 3032 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.
#> 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.
#> 3042 <NA>
#> 3135 <NA>
#> 3138 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 3141 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 4289 <NA>
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#> 4357 <NA>
#> 4360 <NA>
#> 4363 <NA>
#> 4366 <NA>
#> 4369 <NA>
#> 4374 <NA>
#> 4377 <NA>
#> 4380 <NA>
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#> 4386 <NA>
#> 4389 <NA>
#> 4392 <NA>
#> 4395 <NA>
#> 4398 <NA>
#> 4403 <NA>
#> 4406 <NA>
#> 4409 <NA>
#> 4412 <NA>
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#> 4420 <NA>
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#> 4426 <NA>
#> 4428 <NA>
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#> 4434 <NA>
#> 4436 <NA>
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#> 4440 <NA>
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#> 4457 <NA>
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#> 4466 <NA>
#> 4469 <NA>
#> 4474 <NA>
#> 4477 <NA>
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#> 4500 <NA>
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#> 4508 <NA>
#> 4513 <NA>
#> 4516 <NA>
#> 4519 <NA>
#> 4522 <NA>
#> 4525 <NA>
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#> 4531 <NA>
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#> 4551 <NA>
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#> 4559 <NA>
#> 4564 <NA>
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#> 4576 <NA>
#> 4579 <NA>
#> 4582 <NA>
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#> 4588 <NA>
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#> 4596 <NA>
#> 4599 <NA>
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#> 4610 <NA>
#> 4615 <NA>
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#> 4769 <NA>
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#> 4781 <NA>
#> 4786 <NA>
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#> 5345 World Bank, Global Development Finance.
#> 5348 World Bank, Global Development Finance.
#> 5349 World Bank, Global Development Finance.
#> 5503 World Bank, Global Development Finance.
#> 7122 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.
#> 7193 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.
#> 7198 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.
#> 7206 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.
#> 7212 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.
#> 7362 World Bank, Global Development Finance.
#> 7759 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
#> 7762 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
#> 7766 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
#> 7790 <NA>
#> 7791 <NA>
#> 7792 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
#> 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
#> 7801 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
#> 7920 <NA>
#> 7924 <NA>
#> 7925 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.
#> 7930 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.
#> 7931 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.
#> 8016 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
#> 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
#> 8100 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)
#> 8118 <NA>
#> 8172 <NA>
#> 8525 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)
#> 8634 International Monetary Fund, International Financial Statistics and data files.
#> 10993 "International Monetary Fund.\r"
#> 11002 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)
#> 11011 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)
#> 11018 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11019 <NA>
#> 11021 <NA>
#> 11026 <NA>
#> 11027 <NA>
#> 11083 International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.
#> 11092 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators, World Bank (WB)
#> 11097 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)
#> 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 <NA>
#> 11102 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)
#> 11103 <NA>
#> 11104 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11105 <NA>
#> 11106 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11169 <NA>
#> 11170 <NA>
#> 11179 <NA>
#> 11180 <NA>
#> 11184 <NA>
#> 11185 <NA>
#> 11189 <NA>
#> 11190 <NA>
#> 11200 <NA>
#> 11203 <NA>
#> 11205 World Bank country economists.
#> 11208 <NA>
#> 11210 <NA>
#> 11212 <NA>
#> 11213 <NA>
#> 11216 <NA>
#> 11217 <NA>
#> 11218 <NA>
#> 11219 <NA>
#> 11244 <NA>
#> 11245 <NA>
#> 11263 <NA>
#> 11266 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
#> 11269 <NA>
#> 11270 <NA>
#> 11277 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11280 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11285 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11289 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11291 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11293 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11295 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11297 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11308 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11323 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11340 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)
#> 11583 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11584 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11585 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11587 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11588 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11589 World Bank - Non banking financial database
#> 11590 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11591 Sigma Reports, Swiss Re
#> 11592 Sigma Reports, Swiss Re
#> 11593 Nonbanking financial database, World Bank
#> 11594 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11595 Nonbanking financial database, World Bank
#> 11596 World Development Indicators (WDI), World Bank
#> 11597 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 11598 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 11599 Bank for International Settlements (BIS)
#> 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 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11605 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11606 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11607 <NA>
#> 11608 <NA>
#> 11609 <NA>
#> 11612 <NA>
#> 11620 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11625 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11628 Bank for International Settlements (BIS)
#> 11629 Bank for International Settlements (BIS)
#> 11633 World Development Indicators (WDI), World Bank
#> 11634 Consolidated banking statistics, Bank for International Settlements (BIS)
#> 11638 White Clarke Global Leasing Report
#> 11639 Factors Chain International
#> 11640 Luc Laeven and Fabián Valencia, 2012. “Systemic Banking Crises Database: An Update”, IMF Working Paper WP/12/163
#> 12908 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 12922 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 13091 World Information Technology and Services Alliance, Digital Planet: The Global Information Economy, and Global Insight, Inc.
#> 13158 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 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
#> 13440 <NA>
#> 13442 <NA>
#> 13550 International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.
#> 15558 Mo Ibrahim Foundation, electronic files and web site.
#> 15582 SIPRI Military Expenditure Database, Stockholm International Peace Research Institute (SIPRI), uri: https://www.sipri.org/databases
#> 15587 <NA>
#> 15588 <NA>
#> 15589 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15590 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15591 <NA>
#> 15592 <NA>
#> 15593 <NA>
#> 15594 <NA>
#> 15595 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15596 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15597 <NA>
#> 15598 <NA>
#> 15599 <NA>
#> 15600 <NA>
#> 15601 <NA>
#> 15602 <NA>
#> 15603 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15604 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15605 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15606 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15607 <NA>
#> 15608 <NA>
#> 15609 <NA>
#> 15610 <NA>
#> 15611 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15612 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15613 <NA>
#> 15614 <NA>
#> 15615 <NA>
#> 15616 <NA>
#> 15617 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15618 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15619 <NA>
#> 15620 <NA>
#> 15621 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15622 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15623 <NA>
#> 15624 <NA>
#> 15625 <NA>
#> 15626 <NA>
#> 15627 <NA>
#> 15628 <NA>
#> 15629 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15630 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15631 <NA>
#> 15632 <NA>
#> 15633 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15634 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15635 <NA>
#> 15636 <NA>
#> 15637 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15638 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15639 <NA>
#> 15640 <NA>
#> 15641 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15642 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15643 <NA>
#> 15644 <NA>
#> 15653 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)
#> 15655 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.
#> 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/, 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.
#> 15666 World Bank national accounts data, and OECD National Accounts data files.
#> 15681 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)
#> 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 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)
#> 15693 World Bank national accounts data, and OECD National Accounts data files.
#> 15701 <NA>
#> 15702 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)
#> 15712 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)
#> 15724 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)
#> 15726 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15727 <NA>
#> 15728 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15729 <NA>
#> 15730 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15731 <NA>
#> 15732 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15733 <NA>
#> 15758 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)
#> 15763 World Bank national accounts data, and OECD National Accounts data files.
#> 15766 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15773 <NA>
#> 15774 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)
#> 15775 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15776 <NA>
#> 15777 <NA>
#> 15782 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15786 <NA>
#> 15795 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15802 <NA>
#> 15803 <NA>
#> 15804 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)
#> 15814 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 World Bank country economists.
#> 15821 <NA>
#> 15822 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)
#> 15825 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)
#> 15889 <NA>
#> 15893 <NA>
#> 15899 <NA>
#> 15907 World Bank country economists.
#> 15917 World Bank country economists.
#> 15918 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)
#> 15938 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)
#> 15952 <NA>
#> 15953 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)
#> 15971 World Bank national accounts data, and OECD National Accounts data files.
#> 15972 World Bank national accounts data, and OECD National Accounts data files.
#> 15973 World Bank national accounts data, and OECD National Accounts data files.
#> 15990 <NA>
#> 15991 World Bank national accounts data, and OECD National Accounts data files.
#> 15997 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)
#> 16008 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.
#> 16010 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.
#> 16012 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.
#> 16014 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.
#> 16016 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.
#> 16018 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.
#> 16020 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.
#> 16022 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.
#> 16026 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.
#> 16028 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.
#> 16042 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.
#> 16044 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.
#> 16050 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.
#> 16052 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.
#> 16070 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.
#> 16072 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.
#> 16112 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.
#> 16114 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.
#> 16116 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.
#> 16118 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.
#> 16120 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.
#> 16122 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.
#> 16124 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.
#> 16126 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.
#> 16132 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.
#> 16134 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.
#> 16140 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.
#> 16143 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.
#> 16146 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.
#> 16148 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.
#> 16180 Organisation for Economic Co-operation and Development, Producer and Consumer Support Estimates database. Available online at www.oecd.org/tad/support/psecse.
#> 16184 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.
#> 16185 <NA>
#> 16186 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)
#> 16187 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)
#> 16188 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)
#> 16189 <NA>
#> 16190 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)
#> 16191 World Bank national accounts data, and OECD National Accounts data files.
#> 16192 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)
#> 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 <NA>
#> 16198 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)
#> 16199 <NA>
#> 16200 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.
#> 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 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)
#> 16203 World Bank country economists.
#> 16204 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)
#> 16205 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)
#> 16206 World Bank country economists.
#> 16207 <NA>
#> 16208 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16209 <NA>
#> 16210 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)
#> 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 <NA>
#> 16213 <NA>
#> 16214 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)
#> 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;\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)
#> 16216 <NA>
#> 16217 <NA>
#> 16218 World Bank national accounts data, and OECD National Accounts data files.
#> 16219 <NA>
#> 16220 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.
#> 16221 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16222 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 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)
#> 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 <NA>
#> 16229 "World Bank, International Comparison Programme database.\r"
#> 16230 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.
#> 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.
#> 16238 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16239 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 World Bank country economists.
#> 16242 World Bank national accounts data, and OECD National Accounts data files.
#> 16244 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)
#> 16245 World Bank national accounts data, and OECD National Accounts data files.
#> 16247 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)
#> 16249 <NA>
#> 16250 <NA>
#> 16251 <NA>
#> 16252 <NA>
#> 16253 <NA>
#> 16254 <NA>
#> 16255 <NA>
#> 16256 <NA>
#> 16268 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)
#> 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)
#> 16279 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)
#> 16289 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)
#> 16327 The World Bank
#> 16328 <NA>
#> 16329 <NA>
#> 16330 <NA>
#> 16331 <NA>
#> 16407 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators
#> 16408 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
#> 16409 World Bank, International Comparison Program database.
#> 16410 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators, type: International database
#> 16412 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
#> 16471 <NA>
#> 16479 <NA>
#> 16504 <NA>
#> 16526 <NA>
#> 16535 <NA>
#> 16544 <NA>
#> 16549 <NA>
#> 16551 <NA>
#> 16552 <NA>
#> 16565 <NA>
#> 16581 <NA>
#> 16600 <NA>
#> 16611 <NA>
#> 16612 <NA>
#> 16614 <NA>
#> 16648 <NA>
#> 16665 <NA>
#> 16681 <NA>
#> 16762 <NA>
#> 16786 <NA>
#> 16791 <NA>
#> 16841 <NA>
#> 16858 <NA>
#> 16880 <NA>
#> 16884 <NA>
#> 16936 <NA>
#> 16952 <NA>
#> 16975 <NA>
#> 16979 <NA>
#> 17047 <NA>
#> 17107 <NA>
#> 17128 <NA>
#> 17129 <NA>
#> 17130 <NA>
#> 17131 <NA>
#> 17132 <NA>
#> 17187 <NA>
#> 17204 <NA>
#> 17236 <NA>
#> 17244 <NA>
#> 17264 <NA>
#> 17268 <NA>
#> 17291 <NA>
#> 17306 <NA>
#> 17311 <NA>
#> 21507 Ministry of Finance, SIKD (Information System for Sub-National Budget) and LKPP (Central Government Financial Report)
#> 24330 <NA>
#> 24703 World Bank, Global Education Policy Dashboard
#> 24767 World Bank, Global Education Policy Dashboard
#> 24994 <NA>
#> 24999 <NA>
#> 25000 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25003 <NA>
#> 25004 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25008 <NA>
#> 25009 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25012 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
#> 25032 <NA>
#> 25912 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
#> 26056 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: https://apps.who.int/nha/database
#> 26065 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: http://apps.who.int/nha/database
#> 26069 <NA>
#> 26070 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 7, 2023.
#> 26082 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26085 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26091 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26265 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)
#> 26266 International Labour Organization, Key Indicators of the Labour Market database.
#> 26267 Derived using data from International Labour Organization, ILOSTAT database. The data retrieved in March 1, 2020.
#> 27003 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27005 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27010 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27045 <NA>
#> 27046 World Trade Organization (WTO);\nWorld Bank GDP estimates, World Bank (WB);\nWorld Development Indicators, World Bank (WB)
#> 27047 <NA>
#> 29254 UNESCO Institute for Statistics
#> 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
#> 29274 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
#> 29341 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
#> topic_id topic_value
#> 689 3 Economy & Growth
#> 690 3 Economy & Growth
#> 691 3 Economy & Growth
#> 692 3 Economy & Growth
#> 2096 3 Economy & Growth
#> 2097 NA <NA>
#> 2098 NA <NA>
#> 2099 NA <NA>
#> 2100 NA <NA>
#> 2401 NA <NA>
#> 2424 NA <NA>
#> 2436 NA <NA>
#> 2437 3 Economy & Growth
#> 2450 3 Economy & Growth
#> 2451 NA <NA>
#> 2454 NA <NA>
#> 2457 NA <NA>
#> 2463 NA <NA>
#> 2472 NA <NA>
#> 2474 NA <NA>
#> 2480 3 Economy & Growth
#> 2491 NA <NA>
#> 2540 NA <NA>
#> 2552 NA <NA>
#> 2554 3 Economy & Growth
#> 2563 NA <NA>
#> 2569 3 Economy & Growth
#> 2570 NA <NA>
#> 2867 NA <NA>
#> 2868 NA <NA>
#> 2943 NA <NA>
#> 2944 NA <NA>
#> 2967 NA <NA>
#> 2968 NA <NA>
#> 2969 NA <NA>
#> 3032 NA <NA>
#> 3033 NA <NA>
#> 3042 NA <NA>
#> 3135 NA <NA>
#> 3138 7 Financial Sector
#> 3141 7 Financial Sector
#> 4289 NA <NA>
#> 4292 NA <NA>
#> 4295 NA <NA>
#> 4298 NA <NA>
#> 4301 NA <NA>
#> 4306 NA <NA>
#> 4309 NA <NA>
#> 4312 NA <NA>
#> 4315 NA <NA>
#> 4318 NA <NA>
#> 4323 NA <NA>
#> 4326 NA <NA>
#> 4329 NA <NA>
#> 4332 NA <NA>
#> 4335 NA <NA>
#> 4340 NA <NA>
#> 4343 NA <NA>
#> 4346 NA <NA>
#> 4349 NA <NA>
#> 4352 NA <NA>
#> 4357 NA <NA>
#> 4360 NA <NA>
#> 4363 NA <NA>
#> 4366 NA <NA>
#> 4369 NA <NA>
#> 4374 NA <NA>
#> 4377 NA <NA>
#> 4380 NA <NA>
#> 4383 NA <NA>
#> 4386 NA <NA>
#> 4389 NA <NA>
#> 4392 NA <NA>
#> 4395 NA <NA>
#> 4398 NA <NA>
#> 4403 NA <NA>
#> 4406 NA <NA>
#> 4409 NA <NA>
#> 4412 NA <NA>
#> 4415 NA <NA>
#> 4420 NA <NA>
#> 4424 NA <NA>
#> 4426 NA <NA>
#> 4428 NA <NA>
#> 4430 NA <NA>
#> 4432 NA <NA>
#> 4434 NA <NA>
#> 4436 NA <NA>
#> 4438 NA <NA>
#> 4440 NA <NA>
#> 4442 NA <NA>
#> 4445 NA <NA>
#> 4448 NA <NA>
#> 4451 NA <NA>
#> 4454 NA <NA>
#> 4457 NA <NA>
#> 4460 NA <NA>
#> 4463 NA <NA>
#> 4466 NA <NA>
#> 4469 NA <NA>
#> 4474 NA <NA>
#> 4477 NA <NA>
#> 4480 NA <NA>
#> 4483 NA <NA>
#> 4486 NA <NA>
#> 4491 NA <NA>
#> 4494 NA <NA>
#> 4497 NA <NA>
#> 4500 NA <NA>
#> 4503 NA <NA>
#> 4508 NA <NA>
#> 4513 NA <NA>
#> 4516 NA <NA>
#> 4519 NA <NA>
#> 4522 NA <NA>
#> 4525 NA <NA>
#> 4528 NA <NA>
#> 4531 NA <NA>
#> 4534 NA <NA>
#> 4537 NA <NA>
#> 4542 NA <NA>
#> 4545 NA <NA>
#> 4548 NA <NA>
#> 4551 NA <NA>
#> 4554 NA <NA>
#> 4559 NA <NA>
#> 4564 NA <NA>
#> 4567 NA <NA>
#> 4570 NA <NA>
#> 4573 NA <NA>
#> 4576 NA <NA>
#> 4579 NA <NA>
#> 4582 NA <NA>
#> 4585 NA <NA>
#> 4588 NA <NA>
#> 4593 NA <NA>
#> 4596 NA <NA>
#> 4599 NA <NA>
#> 4602 NA <NA>
#> 4605 NA <NA>
#> 4610 NA <NA>
#> 4615 NA <NA>
#> 4618 NA <NA>
#> 4621 NA <NA>
#> 4624 NA <NA>
#> 4627 NA <NA>
#> 4630 NA <NA>
#> 4633 NA <NA>
#> 4636 NA <NA>
#> 4639 NA <NA>
#> 4644 NA <NA>
#> 4647 NA <NA>
#> 4650 NA <NA>
#> 4653 NA <NA>
#> 4656 NA <NA>
#> 4661 NA <NA>
#> 4666 NA <NA>
#> 4669 NA <NA>
#> 4672 NA <NA>
#> 4675 NA <NA>
#> 4678 NA <NA>
#> 4681 NA <NA>
#> 4684 NA <NA>
#> 4687 NA <NA>
#> 4690 NA <NA>
#> 4695 NA <NA>
#> 4700 NA <NA>
#> 4703 NA <NA>
#> 4706 NA <NA>
#> 4709 NA <NA>
#> 4712 NA <NA>
#> 4715 NA <NA>
#> 4718 NA <NA>
#> 4721 NA <NA>
#> 4724 NA <NA>
#> 4729 NA <NA>
#> 4732 NA <NA>
#> 4735 NA <NA>
#> 4738 NA <NA>
#> 4741 NA <NA>
#> 4746 NA <NA>
#> 4752 NA <NA>
#> 4755 NA <NA>
#> 4758 NA <NA>
#> 4761 NA <NA>
#> 4764 NA <NA>
#> 4769 NA <NA>
#> 4772 NA <NA>
#> 4775 NA <NA>
#> 4778 NA <NA>
#> 4781 NA <NA>
#> 4786 NA <NA>
#> 4789 NA <NA>
#> 4792 NA <NA>
#> 4795 NA <NA>
#> 4798 NA <NA>
#> 4803 NA <NA>
#> 4806 NA <NA>
#> 4809 NA <NA>
#> 4812 NA <NA>
#> 4815 NA <NA>
#> 4820 NA <NA>
#> 4823 NA <NA>
#> 4826 NA <NA>
#> 4829 NA <NA>
#> 4832 NA <NA>
#> 4837 NA <NA>
#> 4840 NA <NA>
#> 4843 NA <NA>
#> 4846 NA <NA>
#> 4849 NA <NA>
#> 5345 NA <NA>
#> 5348 NA <NA>
#> 5349 NA <NA>
#> 5503 NA <NA>
#> 7122 NA <NA>
#> 7193 NA <NA>
#> 7198 NA <NA>
#> 7206 NA <NA>
#> 7212 NA <NA>
#> 7362 NA <NA>
#> 7759 NA <NA>
#> 7762 NA <NA>
#> 7766 5 Energy & Mining
#> 7790 NA <NA>
#> 7791 NA <NA>
#> 7792 5 Energy & Mining
#> 7793 5 Energy & Mining
#> 7801 5 Energy & Mining
#> 7920 NA <NA>
#> 7924 NA <NA>
#> 7925 19 Climate Change
#> 7930 19 Climate Change
#> 7931 19 Climate Change
#> 8016 6 Environment
#> 8017 6 Environment
#> 8100 6 Environment
#> 8118 NA <NA>
#> 8172 NA <NA>
#> 8525 7 Financial Sector
#> 8634 NA <NA>
#> 10993 NA <NA>
#> 11002 7 Financial Sector
#> 11011 7 Financial Sector
#> 11018 NA <NA>
#> 11019 NA <NA>
#> 11021 NA <NA>
#> 11026 NA <NA>
#> 11027 NA <NA>
#> 11083 NA <NA>
#> 11092 7 Financial Sector
#> 11097 7 Financial Sector
#> 11098 7 Financial Sector
#> 11099 7 Financial Sector
#> 11100 NA <NA>
#> 11102 7 Financial Sector
#> 11103 NA <NA>
#> 11104 NA <NA>
#> 11105 NA <NA>
#> 11106 NA <NA>
#> 11169 NA <NA>
#> 11170 NA <NA>
#> 11179 NA <NA>
#> 11180 NA <NA>
#> 11184 NA <NA>
#> 11185 NA <NA>
#> 11189 NA <NA>
#> 11190 NA <NA>
#> 11200 NA <NA>
#> 11203 NA <NA>
#> 11205 NA <NA>
#> 11208 NA <NA>
#> 11210 NA <NA>
#> 11212 NA <NA>
#> 11213 NA <NA>
#> 11216 NA <NA>
#> 11217 NA <NA>
#> 11218 NA <NA>
#> 11219 NA <NA>
#> 11244 NA <NA>
#> 11245 NA <NA>
#> 11263 NA <NA>
#> 11266 14 Science & Technology
#> 11269 NA <NA>
#> 11270 NA <NA>
#> 11277 13 Public Sector
#> 11280 NA <NA>
#> 11285 3 Economy & Growth
#> 11289 NA <NA>
#> 11291 NA <NA>
#> 11293 13 Public Sector
#> 11295 13 Public Sector
#> 11297 13 Public Sector
#> 11308 3 Economy & Growth
#> 11323 13 Public Sector
#> 11340 3 Economy & Growth
#> 11583 7 Financial Sector
#> 11584 7 Financial Sector
#> 11585 7 Financial Sector
#> 11587 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 NA <NA>
#> 11608 NA <NA>
#> 11609 NA <NA>
#> 11612 NA <NA>
#> 11620 7 Financial Sector
#> 11625 7 Financial Sector
#> 11628 7 Financial Sector
#> 11629 7 Financial Sector
#> 11633 7 Financial Sector
#> 11634 7 Financial Sector
#> 11638 7 Financial Sector
#> 11639 7 Financial Sector
#> 11640 7 Financial Sector
#> 12908 NA <NA>
#> 12922 NA <NA>
#> 13091 9 Infrastructure
#> 13158 NA <NA>
#> 13159 NA <NA>
#> 13160 NA <NA>
#> 13161 NA <NA>
#> 13162 NA <NA>
#> 13163 NA <NA>
#> 13440 NA <NA>
#> 13442 NA <NA>
#> 13550 9 Infrastructure
#> 15558 NA <NA>
#> 15582 13 Public Sector
#> 15587 NA <NA>
#> 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>
#> 15653 3 Economy & Growth
#> 15655 NA <NA>
#> 15656 NA <NA>
#> 15666 3 Economy & Growth
#> 15681 3 Economy & Growth
#> 15682 3 Economy & Growth
#> 15683 3 Economy & Growth
#> 15693 3 Economy & Growth
#> 15701 NA <NA>
#> 15702 3 Economy & Growth
#> 15712 3 Economy & Growth
#> 15724 3 Economy & Growth
#> 15726 NA <NA>
#> 15727 NA <NA>
#> 15728 NA <NA>
#> 15729 NA <NA>
#> 15730 NA <NA>
#> 15731 NA <NA>
#> 15732 NA <NA>
#> 15733 NA <NA>
#> 15758 3 Economy & Growth
#> 15763 NA <NA>
#> 15766 NA <NA>
#> 15773 NA <NA>
#> 15774 3 Economy & Growth
#> 15775 NA <NA>
#> 15776 NA <NA>
#> 15777 NA <NA>
#> 15782 NA <NA>
#> 15786 NA <NA>
#> 15795 NA <NA>
#> 15802 NA <NA>
#> 15803 NA <NA>
#> 15804 3 Economy & Growth
#> 15814 3 Economy & Growth
#> 15815 NA <NA>
#> 15821 NA <NA>
#> 15822 3 Economy & Growth
#> 15825 3 Economy & Growth
#> 15889 NA <NA>
#> 15893 NA <NA>
#> 15899 NA <NA>
#> 15907 NA <NA>
#> 15917 NA <NA>
#> 15918 1 Agriculture & Rural Development
#> 15938 3 Economy & Growth
#> 15952 NA <NA>
#> 15953 3 Economy & Growth
#> 15971 NA <NA>
#> 15972 NA <NA>
#> 15973 NA <NA>
#> 15990 NA <NA>
#> 15991 3 Economy & Growth
#> 15997 3 Economy & Growth
#> 16008 NA <NA>
#> 16010 NA <NA>
#> 16012 NA <NA>
#> 16014 NA <NA>
#> 16016 NA <NA>
#> 16018 NA <NA>
#> 16020 NA <NA>
#> 16022 NA <NA>
#> 16026 NA <NA>
#> 16028 NA <NA>
#> 16042 NA <NA>
#> 16044 NA <NA>
#> 16050 NA <NA>
#> 16052 NA <NA>
#> 16070 NA <NA>
#> 16072 NA <NA>
#> 16112 NA <NA>
#> 16114 NA <NA>
#> 16116 NA <NA>
#> 16118 NA <NA>
#> 16120 NA <NA>
#> 16122 NA <NA>
#> 16124 NA <NA>
#> 16126 NA <NA>
#> 16132 NA <NA>
#> 16134 NA <NA>
#> 16140 NA <NA>
#> 16143 NA <NA>
#> 16146 NA <NA>
#> 16148 NA <NA>
#> 16180 18 Millenium development goals
#> 16184 6 Environment
#> 16185 NA <NA>
#> 16186 3 Economy & Growth
#> 16187 7 Financial Sector
#> 16188 3 Economy & Growth
#> 16189 NA <NA>
#> 16190 7 Financial Sector
#> 16191 NA <NA>
#> 16192 3 Economy & Growth
#> 16193 3 Economy & Growth
#> 16194 3 Economy & Growth
#> 16195 3 Economy & Growth
#> 16196 3 Economy & Growth
#> 16197 NA <NA>
#> 16198 3 Economy & Growth
#> 16199 NA <NA>
#> 16200 6 Environment
#> 16201 5 Energy & Mining
#> 16202 3 Economy & Growth
#> 16203 NA <NA>
#> 16204 3 Economy & Growth
#> 16205 3 Economy & Growth
#> 16206 NA <NA>
#> 16207 NA <NA>
#> 16208 3 Economy & Growth
#> 16209 NA <NA>
#> 16210 3 Economy & Growth
#> 16211 3 Economy & Growth
#> 16212 NA <NA>
#> 16213 NA <NA>
#> 16214 3 Economy & Growth
#> 16215 3 Economy & Growth
#> 16216 NA <NA>
#> 16217 NA <NA>
#> 16218 NA <NA>
#> 16219 NA <NA>
#> 16220 5 Energy & Mining
#> 16221 3 Economy & Growth
#> 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 NA <NA>
#> 16229 NA <NA>
#> 16230 5 Energy & Mining
#> 16231 5 Energy & Mining
#> 16238 3 Economy & Growth
#> 16239 3 Economy & Growth
#> 16240 NA <NA>
#> 16242 NA <NA>
#> 16244 3 Economy & Growth
#> 16245 NA <NA>
#> 16247 3 Economy & Growth
#> 16249 NA <NA>
#> 16250 NA <NA>
#> 16251 NA <NA>
#> 16252 NA <NA>
#> 16253 NA <NA>
#> 16254 NA <NA>
#> 16255 NA <NA>
#> 16256 NA <NA>
#> 16268 3 Economy & Growth
#> 16269 3 Economy & Growth
#> 16279 3 Economy & Growth
#> 16280 3 Economy & Growth
#> 16289 3 Economy & Growth
#> 16327 NA <NA>
#> 16328 NA <NA>
#> 16329 NA <NA>
#> 16330 NA <NA>
#> 16331 NA <NA>
#> 16407 NA <NA>
#> 16408 3 Economy & Growth
#> 16409 3 Economy & Growth
#> 16410 3 Economy & Growth
#> 16412 3 Economy & Growth
#> 16471 NA <NA>
#> 16479 NA <NA>
#> 16504 NA <NA>
#> 16526 NA <NA>
#> 16535 NA <NA>
#> 16544 NA <NA>
#> 16549 NA <NA>
#> 16551 NA <NA>
#> 16552 NA <NA>
#> 16565 NA <NA>
#> 16581 NA <NA>
#> 16600 NA <NA>
#> 16611 NA <NA>
#> 16612 NA <NA>
#> 16614 NA <NA>
#> 16648 NA <NA>
#> 16665 NA <NA>
#> 16681 NA <NA>
#> 16762 NA <NA>
#> 16786 NA <NA>
#> 16791 NA <NA>
#> 16841 NA <NA>
#> 16858 NA <NA>
#> 16880 NA <NA>
#> 16884 NA <NA>
#> 16936 NA <NA>
#> 16952 NA <NA>
#> 16975 NA <NA>
#> 16979 NA <NA>
#> 17047 NA <NA>
#> 17107 NA <NA>
#> 17128 NA <NA>
#> 17129 NA <NA>
#> 17130 NA <NA>
#> 17131 NA <NA>
#> 17132 NA <NA>
#> 17187 NA <NA>
#> 17204 NA <NA>
#> 17236 NA <NA>
#> 17244 NA <NA>
#> 17264 NA <NA>
#> 17268 NA <NA>
#> 17291 NA <NA>
#> 17306 NA <NA>
#> 17311 NA <NA>
#> 21507 NA <NA>
#> 24330 NA <NA>
#> 24703 NA <NA>
#> 24767 NA <NA>
#> 24994 NA <NA>
#> 24999 NA <NA>
#> 25000 4 Education
#> 25003 NA <NA>
#> 25004 4 Education
#> 25008 NA <NA>
#> 25009 4 Education
#> 25012 4 Education
#> 25032 NA <NA>
#> 25912 8 Health
#> 26056 8 Health
#> 26065 8 Health
#> 26069 NA <NA>
#> 26070 NA <NA>
#> 26082 8 Health
#> 26085 8 Health
#> 26091 8 Health
#> 26265 10 Social Protection & Labor
#> 26266 NA <NA>
#> 26267 NA <NA>
#> 27003 NA <NA>
#> 27005 NA <NA>
#> 27010 NA <NA>
#> 27045 NA <NA>
#> 27046 12 Private Sector
#> 27047 NA <NA>
#> 29254 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>
#> 29274 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>
#> 29341 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>
# restrict the search to the indicator name
wb_search("unemployment", fields = "name")
#> id
#> 14214 JI.UEM.1524.FE.ZS
#> 14215 JI.UEM.1524.HE.ZS
#> 14216 JI.UEM.1524.LE.ZS
#> 14217 JI.UEM.1524.MA.ZS
#> 14218 JI.UEM.1524.RU.ZS
#> 14219 JI.UEM.1524.UR.ZS
#> 14220 JI.UEM.1524.ZS
#> 14221 JI.UEM.1564.FE.ZS
#> 14222 JI.UEM.1564.HE.ZS
#> 14223 JI.UEM.1564.LE.ZS
#> 14224 JI.UEM.1564.MA.ZS
#> 14225 JI.UEM.1564.OL.ZS
#> 14226 JI.UEM.1564.RU.ZS
#> 14227 JI.UEM.1564.UR.ZS
#> 14228 JI.UEM.1564.YG.ZS
#> 14229 JI.UEM.1564.ZS
#> 14358 lm_ub.bi_q1
#> 14359 lm_ub.cov_pop
#> 14360 lm_ub.gen_pop
#> 17715 per_lm_alllm.adq_pop_tot
#> 17792 per_lm_alllm.ben_q1_tot
#> 17863 per_lm_alllm.cov_pop_tot
#> 17869 per_lm_alllm.cov_q1_tot
#> 17873 per_lm_alllm.cov_q2_tot
#> 17877 per_lm_alllm.cov_q3_tot
#> 17881 per_lm_alllm.cov_q4_tot
#> 17885 per_lm_alllm.cov_q5_tot
#> 26376 SL.UEM.1524.FE.NE.ZS
#> 26377 SL.UEM.1524.FE.ZS
#> 26378 SL.UEM.1524.FM.NE.ZS
#> 26379 SL.UEM.1524.FM.ZS
#> 26380 SL.UEM.1524.MA.NE.ZS
#> 26381 SL.UEM.1524.MA.ZS
#> 26382 SL.UEM.1524.NE.ZS
#> 26383 SL.UEM.1524.ZS
#> 26384 SL.UEM.ADVN.FE.ZS
#> 26385 SL.UEM.ADVN.MA.ZS
#> 26386 SL.UEM.ADVN.ZS
#> 26387 SL.UEM.BASC.FE.ZS
#> 26388 SL.UEM.BASC.MA.ZS
#> 26389 SL.UEM.BASC.ZS
#> 26390 SL.UEM.INTM.FE.ZS
#> 26391 SL.UEM.INTM.MA.ZS
#> 26392 SL.UEM.INTM.ZS
#> 26393 SL.UEM.LTRM.FE.ZS
#> 26394 SL.UEM.LTRM.MA.ZS
#> 26395 SL.UEM.LTRM.ZS
#> 26402 SL.UEM.PRIM.FE.ZS
#> 26403 SL.UEM.PRIM.MA.ZS
#> 26404 SL.UEM.PRIM.ZS
#> 26405 SL.UEM.SECO.FE.ZS
#> 26406 SL.UEM.SECO.MA.ZS
#> 26407 SL.UEM.SECO.ZS
#> 26408 SL.UEM.TERT.FE.ZS
#> 26409 SL.UEM.TERT.MA.ZS
#> 26410 SL.UEM.TERT.ZS
#> 26412 SL.UEM.TOTL.FE.NE.ZS
#> 26413 SL.UEM.TOTL.FE.ZS
#> 26414 SL.UEM.TOTL.MA.NE.ZS
#> 26415 SL.UEM.TOTL.MA.ZS
#> 26416 SL.UEM.TOTL.NE.ZS
#> 26417 SL.UEM.TOTL.ZS
#> 29400 UNEMPSA_
#> name
#> 14214 Youth unemployment rate, aged 15-24, female (% of female youth labor force)
#> 14215 Youth unemployment rate, aged 15-24, above primary education (% of youth labor force with high education)
#> 14216 Youth unemployment rate, aged 15-24, primary education and below (% of youth labor force with low education)
#> 14217 Youth unemployment rate, aged 15-24, male (% of male youth labor force)
#> 14218 Youth unemployment rate, aged 15-24, rural (% of rural youth labor force)
#> 14219 Youth unemployment rate, aged 15-24, urban (% of urban youth labor force)
#> 14220 Youth unemployment rate, aged 15-24, total (% of total youth labor force)
#> 14221 Unemployment rate, aged 15-64, female (% of female labor force in working age)
#> 14222 Unemployment rate, aged 15-64, above primary education (% of labor force with high education in working age)
#> 14223 Unemployment rate, aged 15-64, primary education and below (% of labor force with low education in working age)
#> 14224 Unemployment rate, aged 15-64, male (% of male labor force in working age)
#> 14225 Unemployment rate, aged 25-64 (% of labor force aged 25-64)
#> 14226 Unemployment rate, aged 15-64, rural (% of rural labor force in working age)
#> 14227 Unemployment rate, aged 15-64, urban (% of urban labor force in working age)
#> 14228 Unemployment rate, aged 15-24 (% of labor force aged 15-24)
#> 14229 Unemployment rate, aged 15-64, total (% of total labor force in working age)
#> 14358 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
#> 14359 Coverage of unemployment benefits and ALMP (% of population)
#> 14360 Generosity of unemployment benefits and ALMP (% of total welfare of beneficiary households)
#> 17715 Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households)
#> 17792 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
#> 17863 Coverage of unemployment benefits and ALMP (% of population)
#> 17869 Coverage of unemployment benefits and ALMP in poorest quintile (% of population)
#> 17873 Coverage of unemployment benefits and ALMP in 2nd quintile (% of population)
#> 17877 Coverage of unemployment benefits and ALMP in 3rd quintile (% of population)
#> 17881 Coverage of unemployment benefits and ALMP in 4th quintile (% of population)
#> 17885 Coverage of unemployment benefits and ALMP in richest quintile (% of population)
#> 26376 Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
#> 26377 Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
#> 26378 Ratio of female to male youth unemployment rate (%) (national estimate)
#> 26379 Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)
#> 26380 Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
#> 26381 Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
#> 26382 Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
#> 26383 Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
#> 26384 Unemployment with advanced education, female (% of female labor force with advanced education)
#> 26385 Unemployment with advanced education, male (% of male labor force with advanced education)
#> 26386 Unemployment with advanced education (% of total labor force with advanced education)
#> 26387 Unemployment with basic education, female (% of female labor force with basic education)
#> 26388 Unemployment with basic education, male (% of male labor force with basic education)
#> 26389 Unemployment with basic education (% of total labor force with basic education)
#> 26390 Unemployment with intermediate education, female (% of female labor force with intermediate education)
#> 26391 Unemployment with intermediate education, male (% of male labor force with intermediate education)
#> 26392 Unemployment with intermediate education (% of total labor force with intermediate education)
#> 26393 Long-term unemployment, female (% of female unemployment)
#> 26394 Long-term unemployment, male (% of male unemployment)
#> 26395 Long-term unemployment (% of total unemployment)
#> 26402 Unemployment with primary education, female (% of female unemployment)
#> 26403 Unemployment with primary education, male (% of male unemployment)
#> 26404 Unemployment with primary education (% of total unemployment)
#> 26405 Unemployment with secondary education, female (% of female unemployment)
#> 26406 Unemployment with secondary education, male (% of male unemployment)
#> 26407 Unemployment with secondary education (% of total unemployment)
#> 26408 Unemployment with tertiary education, female (% of female unemployment)
#> 26409 Unemployment with tertiary education, male (% of male unemployment)
#> 26410 Unemployment with tertiary education (% of total unemployment)
#> 26412 Unemployment, female (% of female labor force) (national estimate)
#> 26413 Unemployment, female (% of female labor force) (modeled ILO estimate)
#> 26414 Unemployment, male (% of male labor force) (national estimate)
#> 26415 Unemployment, male (% of male labor force) (modeled ILO estimate)
#> 26416 Unemployment, total (% of total labor force) (national estimate)
#> 26417 Unemployment, total (% of total labor force) (modeled ILO estimate)
#> 29400 Unemployment rate,Percent,,,
#> unit source_id source_value
#> 14214 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 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)
#> 14358 <NA> 57 WDI Database Archives
#> 14359 <NA> 57 WDI Database Archives
#> 14360 <NA> 57 WDI Database Archives
#> 17715 <NA> 2 World Development Indicators
#> 17792 <NA> 2 World Development Indicators
#> 17863 <NA> 2 World Development Indicators
#> 17869 <NA> 2 World Development Indicators
#> 17873 <NA> 2 World Development Indicators
#> 17877 <NA> 2 World Development Indicators
#> 17881 <NA> 2 World Development Indicators
#> 17885 <NA> 2 World Development Indicators
#> 26376 <NA> 2 World Development Indicators
#> 26377 <NA> 2 World Development Indicators
#> 26378 <NA> 14 Gender Statistics
#> 26379 <NA> 14 Gender Statistics
#> 26380 <NA> 2 World Development Indicators
#> 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> 57 WDI Database Archives
#> 26394 <NA> 57 WDI Database Archives
#> 26395 <NA> 57 WDI Database Archives
#> 26402 <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> 11 Africa Development Indicators
#> 26408 <NA> 57 WDI Database Archives
#> 26409 <NA> 11 Africa Development Indicators
#> 26410 <NA> 57 WDI Database Archives
#> 26412 <NA> 2 World Development Indicators
#> 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
#> 29400 <NA> 15 Global Economic Monitor
#> source_note
#> 14214 <NA>
#> 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>
#> 14358 <NA>
#> 14359 <NA>
#> 14360 <NA>
#> 17715 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.
#> 17792 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.
#> 17863 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.
#> 17869 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.
#> 17873 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.
#> 17877 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.
#> 17881 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.
#> 17885 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.
#> 26376 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.
#> 26377 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 26378 Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
#> 26379 Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
#> 26380 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.
#> 26381 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 26382 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.
#> 26383 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 26384 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).
#> 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 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).
#> 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 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).
#> 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 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.
#> 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.
#> 26402 Female unemployment with primary education is the share of the female unemployed who attained or completed primary education as the highest level.
#> 26403 Male unemployment with primary education is the share of the male unemployed who attained or completed primary education as the highest level.
#> 26404 Unemployment with primary education is the share of the total unemployed who attained or completed primary education as the highest level.
#> 26405 Female unemployment with secondary education is the share of the female unemployed who attained or completed secondary education as the highest level.
#> 26406 Male unemployment with secondary education is the share of the male unemployed who attained or completed secondary education as the highest level.
#> 26407 Unemployment with secondary education is the share of the total unemployed who attained or completed secondary education as the highest level.
#> 26408 Female unemployment with tertiary education is the share of the female unemployed who attained or completed tertiary education as the highest level.
#> 26409 Male unemployment with tertiary education is the share of the male unemployed who attained or completed tertiary education as the highest level.
#> 26410 Unemployment with tertiary education is the share of the total unemployed who attained or completed tertiary education as the highest level.
#> 26412 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.
#> 26413 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 26414 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.
#> 26415 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 26416 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.
#> 26417 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 29400 <NA>
#> source_organization
#> 14214 <NA>
#> 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>
#> 14358 <NA>
#> 14359 <NA>
#> 14360 <NA>
#> 17715 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.
#> 17792 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.
#> 17863 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.
#> 17869 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.
#> 17873 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.
#> 17877 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.
#> 17881 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.
#> 17885 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.
#> 26376 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
#> 26377 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
#> 26378 World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
#> 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 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
#> 26381 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
#> 26382 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
#> 26383 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
#> 26384 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
#> 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 International Labour Organization, Key Indicators of the Labour Market database.
#> 26394 International Labour Organization, Key Indicators of the Labour Market database.
#> 26395 International Labour Organization, Key Indicators of the Labour Market database.
#> 26402 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.
#> 26412 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
#> 26413 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
#> 26414 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
#> 26415 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
#> 26416 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
#> 26417 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
#> 29400 <NA>
#> topic_id topic_value
#> 14214 NA <NA>
#> 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>
#> 14358 NA <NA>
#> 14359 NA <NA>
#> 14360 NA <NA>
#> 17715 10 Social Protection & Labor
#> 17792 10 Social Protection & Labor
#> 17863 10 Social Protection & Labor
#> 17869 10 Social Protection & Labor
#> 17873 10 Social Protection & Labor
#> 17877 10 Social Protection & Labor
#> 17881 10 Social Protection & Labor
#> 17885 10 Social Protection & Labor
#> 26376 10 Social Protection & Labor
#> 26377 10 Social Protection & Labor
#> 26378 17 Gender
#> 26379 17 Gender
#> 26380 10 Social Protection & Labor
#> 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
#> 26402 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
#> 26412 10 Social Protection & Labor
#> 26413 4 Education
#> 26414 10 Social Protection & Labor
#> 26415 4 Education
#> 26416 10 Social Protection & Labor
#> 26417 4 Education
#> 29400 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
#> 2096 BG.GSR.NFSV.GD.ZS
#> 2097 BG.KAC.FNEI.GD.PP.ZS
#> 2098 BG.KAC.FNEI.GD.ZS
#> 2099 BG.KLT.DINV.GD.PP.ZS
#> 2100 BG.KLT.DINV.GD.ZS
#> 2401 BI.WAG.TOTL.GD.ZS
#> 2424 BM.GSR.MRCH.ZS
#> 2436 BM.KLT.DINV.GD.ZS
#> 2437 BM.KLT.DINV.WD.GD.ZS
#> 2450 BN.CAB.XOKA.GD.ZS
#> 2451 BN.CAB.XOKA.GDP.ZS
#> 2454 BN.CAB.XOTR.ZS
#> 2457 BN.CUR.GDPM.ZS
#> 2463 BN.GSR.FCTY.CD.ZS
#> 2472 BN.KLT.DINV.CD.ZS
#> 2474 BN.KLT.DINV.DRS.GDP.ZS
#> 2480 BN.KLT.PRVT.GD.ZS
#> 2491 BN.TRF.CURR.CD.ZS
#> 2540 BX.GSR.MRCH.ZS
#> 2552 BX.KLT.DINV.DT.GD.ZS
#> 2554 BX.KLT.DINV.WD.GD.ZS
#> 2563 BX.TRF.MGR.DT.GD.ZS
#> 2569 BX.TRF.PWKR.DT.GD.ZS
#> 2570 BX.TRF.PWKR.GD.ZS
#> 2867 CC.ENTX.ENE.ZS
#> 2868 CC.ENTX.ENV.ZS
#> 2943 CC.GHG.MEMG.EI
#> 2944 CC.GHG.MEMG.GC
#> 2967 CC.INCP.ALRS
#> 2968 CC.INCP.KRGC
#> 2969 CC.INCP.SPMC
#> 3032 CC.RISK.AST.ZS
#> 3033 CC.RISK.WELL.ZS
#> 3042 CC.SP.EXP.ZS
#> 3135 CM.FIN.INTL.GD.ZS
#> 3138 CM.MKT.LCAP.GD.ZS
#> 3141 CM.MKT.TRAD.GD.ZS
#> 4289 DP.DOD.DECD.CR.BC.Z1
#> 4292 DP.DOD.DECD.CR.CG.Z1
#> 4295 DP.DOD.DECD.CR.FC.Z1
#> 4298 DP.DOD.DECD.CR.GG.Z1
#> 4301 DP.DOD.DECD.CR.NF.Z1
#> 4306 DP.DOD.DECF.CR.BC.Z1
#> 4309 DP.DOD.DECF.CR.CG.Z1
#> 4312 DP.DOD.DECF.CR.FC.Z1
#> 4315 DP.DOD.DECF.CR.GG.Z1
#> 4318 DP.DOD.DECF.CR.NF.Z1
#> 4323 DP.DOD.DECN.CR.BC.Z1
#> 4326 DP.DOD.DECN.CR.CG.Z1
#> 4329 DP.DOD.DECN.CR.FC.Z1
#> 4332 DP.DOD.DECN.CR.GG.Z1
#> 4335 DP.DOD.DECN.CR.NF.Z1
#> 4340 DP.DOD.DECT.CR.BC.Z1
#> 4343 DP.DOD.DECT.CR.CG.Z1
#> 4346 DP.DOD.DECT.CR.FC.Z1
#> 4349 DP.DOD.DECT.CR.GG.Z1
#> 4352 DP.DOD.DECT.CR.NF.Z1
#> 4357 DP.DOD.DECX.CR.BC.Z1
#> 4360 DP.DOD.DECX.CR.CG.Z1
#> 4363 DP.DOD.DECX.CR.FC.Z1
#> 4366 DP.DOD.DECX.CR.GG.Z1
#> 4369 DP.DOD.DECX.CR.NF.Z1
#> 4374 DP.DOD.DLCD.CR.BC.Z1
#> 4377 DP.DOD.DLCD.CR.CG.Z1
#> 4380 DP.DOD.DLCD.CR.FC.Z1
#> 4383 DP.DOD.DLCD.CR.GG.Z1
#> 4386 DP.DOD.DLCD.CR.L1.BC.Z1
#> 4389 DP.DOD.DLCD.CR.L1.CG.Z1
#> 4392 DP.DOD.DLCD.CR.L1.FC.Z1
#> 4395 DP.DOD.DLCD.CR.L1.GG.Z1
#> 4398 DP.DOD.DLCD.CR.L1.NF.Z1
#> 4403 DP.DOD.DLCD.CR.M1.BC.Z1
#> 4406 DP.DOD.DLCD.CR.M1.CG.Z1
#> 4409 DP.DOD.DLCD.CR.M1.FC.Z1
#> 4412 DP.DOD.DLCD.CR.M1.GG.Z1
#> 4415 DP.DOD.DLCD.CR.M1.NF.Z1
#> 4420 DP.DOD.DLCD.CR.NF.Z1
#> 4424 DP.DOD.DLD1.CR.CG.Z1
#> 4426 DP.DOD.DLD1.CR.GG.Z1
#> 4428 DP.DOD.DLD2.CR.CG.Z1
#> 4430 DP.DOD.DLD2.CR.GG.Z1
#> 4432 DP.DOD.DLD2A.CR.CG.Z1
#> 4434 DP.DOD.DLD2A.CR.GG.Z1
#> 4436 DP.DOD.DLD3.CR.CG.Z1
#> 4438 DP.DOD.DLD3.CR.GG.Z1
#> 4440 DP.DOD.DLD4.CR.CG.Z1
#> 4442 DP.DOD.DLD4.CR.GG.Z1
#> 4445 DP.DOD.DLDS.CR.BC.Z1
#> 4448 DP.DOD.DLDS.CR.CG.Z1
#> 4451 DP.DOD.DLDS.CR.FC.Z1
#> 4454 DP.DOD.DLDS.CR.GG.Z1
#> 4457 DP.DOD.DLDS.CR.L1.BC.Z1
#> 4460 DP.DOD.DLDS.CR.L1.CG.Z1
#> 4463 DP.DOD.DLDS.CR.L1.FC.Z1
#> 4466 DP.DOD.DLDS.CR.L1.GG.Z1
#> 4469 DP.DOD.DLDS.CR.L1.NF.Z1
#> 4474 DP.DOD.DLDS.CR.M1.BC.Z1
#> 4477 DP.DOD.DLDS.CR.M1.CG.Z1
#> 4480 DP.DOD.DLDS.CR.M1.FC.Z1
#> 4483 DP.DOD.DLDS.CR.M1.GG.Z1
#> 4486 DP.DOD.DLDS.CR.M1.NF.Z1
#> 4491 DP.DOD.DLDS.CR.MV.BC.Z1
#> 4494 DP.DOD.DLDS.CR.MV.CG.Z1
#> 4497 DP.DOD.DLDS.CR.MV.FC.Z1
#> 4500 DP.DOD.DLDS.CR.MV.GG.Z1
#> 4503 DP.DOD.DLDS.CR.MV.NF.Z1
#> 4508 DP.DOD.DLDS.CR.NF.Z1
#> 4513 DP.DOD.DLIN.CR.BC.Z1
#> 4516 DP.DOD.DLIN.CR.CG.Z1
#> 4519 DP.DOD.DLIN.CR.FC.Z1
#> 4522 DP.DOD.DLIN.CR.GG.Z1
#> 4525 DP.DOD.DLIN.CR.L1.BC.Z1
#> 4528 DP.DOD.DLIN.CR.L1.CG.Z1
#> 4531 DP.DOD.DLIN.CR.L1.FC.Z1
#> 4534 DP.DOD.DLIN.CR.L1.GG.Z1
#> 4537 DP.DOD.DLIN.CR.L1.NF.Z1
#> 4542 DP.DOD.DLIN.CR.M1.BC.Z1
#> 4545 DP.DOD.DLIN.CR.M1.CG.Z1
#> 4548 DP.DOD.DLIN.CR.M1.FC.Z1
#> 4551 DP.DOD.DLIN.CR.M1.GG.Z1
#> 4554 DP.DOD.DLIN.CR.M1.NF.Z1
#> 4559 DP.DOD.DLIN.CR.NF.Z1
#> 4564 DP.DOD.DLLO.CR.BC.Z1
#> 4567 DP.DOD.DLLO.CR.CG.Z1
#> 4570 DP.DOD.DLLO.CR.FC.Z1
#> 4573 DP.DOD.DLLO.CR.GG.Z1
#> 4576 DP.DOD.DLLO.CR.L1.BC.Z1
#> 4579 DP.DOD.DLLO.CR.L1.CG.Z1
#> 4582 DP.DOD.DLLO.CR.L1.FC.Z1
#> 4585 DP.DOD.DLLO.CR.L1.GG.Z1
#> 4588 DP.DOD.DLLO.CR.L1.NF.Z1
#> 4593 DP.DOD.DLLO.CR.M1.BC.Z1
#> 4596 DP.DOD.DLLO.CR.M1.CG.Z1
#> 4599 DP.DOD.DLLO.CR.M1.FC.Z1
#> 4602 DP.DOD.DLLO.CR.M1.GG.Z1
#> 4605 DP.DOD.DLLO.CR.M1.NF.Z1
#> 4610 DP.DOD.DLLO.CR.NF.Z1
#> 4615 DP.DOD.DLOA.CR.BC.Z1
#> 4618 DP.DOD.DLOA.CR.CG.Z1
#> 4621 DP.DOD.DLOA.CR.FC.Z1
#> 4624 DP.DOD.DLOA.CR.GG.Z1
#> 4627 DP.DOD.DLOA.CR.L1.BC.Z1
#> 4630 DP.DOD.DLOA.CR.L1.CG.Z1
#> 4633 DP.DOD.DLOA.CR.L1.FC.Z1
#> 4636 DP.DOD.DLOA.CR.L1.GG.Z1
#> 4639 DP.DOD.DLOA.CR.L1.NF.Z1
#> 4644 DP.DOD.DLOA.CR.M1.BC.Z1
#> 4647 DP.DOD.DLOA.CR.M1.CG.Z1
#> 4650 DP.DOD.DLOA.CR.M1.FC.Z1
#> 4653 DP.DOD.DLOA.CR.M1.GG.Z1
#> 4656 DP.DOD.DLOA.CR.M1.NF.Z1
#> 4661 DP.DOD.DLOA.CR.NF.Z1
#> 4666 DP.DOD.DLSD.CR.BC.Z1
#> 4669 DP.DOD.DLSD.CR.CG.Z1
#> 4672 DP.DOD.DLSD.CR.FC.Z1
#> 4675 DP.DOD.DLSD.CR.GG.Z1
#> 4678 DP.DOD.DLSD.CR.M1.BC.Z1
#> 4681 DP.DOD.DLSD.CR.M1.CG.Z1
#> 4684 DP.DOD.DLSD.CR.M1.FC.Z1
#> 4687 DP.DOD.DLSD.CR.M1.GG.Z1
#> 4690 DP.DOD.DLSD.CR.M1.NF.Z1
#> 4695 DP.DOD.DLSD.CR.NF.Z1
#> 4700 DP.DOD.DLTC.CR.BC.Z1
#> 4703 DP.DOD.DLTC.CR.CG.Z1
#> 4706 DP.DOD.DLTC.CR.FC.Z1
#> 4709 DP.DOD.DLTC.CR.GG.Z1
#> 4712 DP.DOD.DLTC.CR.L1.BC.Z1
#> 4715 DP.DOD.DLTC.CR.L1.CG.Z1
#> 4718 DP.DOD.DLTC.CR.L1.FC.Z1
#> 4721 DP.DOD.DLTC.CR.L1.GG.Z1
#> 4724 DP.DOD.DLTC.CR.L1.NF.Z1
#> 4729 DP.DOD.DLTC.CR.M1.BC.Z1
#> 4732 DP.DOD.DLTC.CR.M1.CG.Z1
#> 4735 DP.DOD.DLTC.CR.M1.FC.Z1
#> 4738 DP.DOD.DLTC.CR.M1.GG.Z1
#> 4741 DP.DOD.DLTC.CR.M1.NF.Z1
#> 4746 DP.DOD.DLTC.CR.NF.Z1
#> 4752 DP.DOD.DSCD.CR.BC.Z1
#> 4755 DP.DOD.DSCD.CR.CG.Z1
#> 4758 DP.DOD.DSCD.CR.FC.Z1
#> 4761 DP.DOD.DSCD.CR.GG.Z1
#> 4764 DP.DOD.DSCD.CR.NF.Z1
#> 4769 DP.DOD.DSDS.CR.BC.Z1
#> 4772 DP.DOD.DSDS.CR.CG.Z1
#> 4775 DP.DOD.DSDS.CR.FC.Z1
#> 4778 DP.DOD.DSDS.CR.GG.Z1
#> 4781 DP.DOD.DSDS.CR.NF.Z1
#> 4786 DP.DOD.DSIN.CR.BC.Z1
#> 4789 DP.DOD.DSIN.CR.CG.Z1
#> 4792 DP.DOD.DSIN.CR.FC.Z1
#> 4795 DP.DOD.DSIN.CR.GG.Z1
#> 4798 DP.DOD.DSIN.CR.NF.Z1
#> 4803 DP.DOD.DSLO.CR.BC.Z1
#> 4806 DP.DOD.DSLO.CR.CG.Z1
#> 4809 DP.DOD.DSLO.CR.FC.Z1
#> 4812 DP.DOD.DSLO.CR.GG.Z1
#> 4815 DP.DOD.DSLO.CR.NF.Z1
#> 4820 DP.DOD.DSOA.CR.BC.Z1
#> 4823 DP.DOD.DSOA.CR.CG.Z1
#> 4826 DP.DOD.DSOA.CR.FC.Z1
#> 4829 DP.DOD.DSOA.CR.GG.Z1
#> 4832 DP.DOD.DSOA.CR.NF.Z1
#> 4837 DP.DOD.DSTC.CR.BC.Z1
#> 4840 DP.DOD.DSTC.CR.CG.Z1
#> 4843 DP.DOD.DSTC.CR.FC.Z1
#> 4846 DP.DOD.DSTC.CR.GG.Z1
#> 4849 DP.DOD.DSTC.CR.NF.Z1
#> 5345 DT.DOD.ALLC.ZSG
#> 5348 DT.DOD.ALLN.ZSG
#> 5349 DT.DOD.ALLN.ZSX
#> 5503 DT.DOD.DECT.CD.ZSG
#> 7122 DT.ODA.ALLD.GD.ZS
#> 7193 DT.ODA.DACD.ZSG
#> 7198 DT.ODA.MULT.ZSG
#> 7206 DT.ODA.NDAC.ZSG
#> 7212 DT.ODA.ODAT.GD.ZS
#> 7362 DT.TDS.DECT.GD.ZS
#> 7759 EF.EFM.OVRL.XD
#> 7762 EF.EFM.UNIV.XD
#> 7766 EG.EGY.PRIM.PP.KD
#> 7790 EG.GDP.PUSE.KO.87
#> 7791 EG.GDP.PUSE.KO.KD
#> 7792 EG.GDP.PUSE.KO.PP
#> 7793 EG.GDP.PUSE.KO.PP.KD
#> 7801 EG.USE.COMM.GD.PP.KD
#> 7920 EN.ATM.CO2E.GDP
#> 7924 EN.ATM.CO2E.KD.87.GD
#> 7925 EN.ATM.CO2E.KD.GD
#> 7930 EN.ATM.CO2E.PP.GD
#> 7931 EN.ATM.CO2E.PP.GD.KD
#> 8016 EN.GHG.CO2.RT.GDP.KD
#> 8017 EN.GHG.CO2.RT.GDP.PP.KD
#> 8100 ER.GDP.FWTL.M3.KD
#> 8118 EU.EGY.USES.GDP
#> 8172 FB.DPT.INSU.PC.ZS
#> 8525 FD.AST.PRVT.GD.ZS
#> 8634 FI.RES.TOTL.CD.ZS
#> 10993 FM.AST.GOVT.CN.ZS
#> 11002 FM.AST.PRVT.GD.ZS
#> 11011 FM.LBL.BMNY.GD.ZS
#> 11018 FM.LBL.MQMY.GD.ZS
#> 11019 FM.LBL.MQMY.GDP.ZS
#> 11021 FM.LBL.MQMY.XD
#> 11026 FM.LBL.QMNY.GDP.ZS
#> 11027 FM.LBL.SEIG.GDP.ZS
#> 11083 FR.INR.DPST.DP
#> 11092 FR.INR.RINR
#> 11097 FS.AST.CGOV.GD.ZS
#> 11098 FS.AST.DOMO.GD.ZS
#> 11099 FS.AST.DOMS.GD.ZS
#> 11100 FS.AST.DTOT.ZS
#> 11102 FS.AST.PRVT.GD.ZS
#> 11103 FS.AST.PRVT.GDP.ZS
#> 11104 FS.LBL.LIQU.GD.ZS
#> 11105 FS.LBL.LIQU.GDP.ZS
#> 11106 FS.LBL.QLIQ.GD.ZS
#> 11169 GB.BAL.OVRL.GD.ZS
#> 11170 GB.BAL.OVRL.GDP.ZS
#> 11179 GB.DOD.TOTL.GD.ZS
#> 11180 GB.DOD.TOTL.GDP.ZS
#> 11184 GB.FIN.ABRD.GD.ZS
#> 11185 GB.FIN.ABRD.GDP.ZS
#> 11189 GB.FIN.DOMS.GD.ZS
#> 11190 GB.FIN.DOMS.GDP.ZS
#> 11200 GB.REV.CTOT.GD.ZS
#> 11203 GB.REV.TOTL.GDP.ZS
#> 11205 GB.REV.XAGT.CN.ZS
#> 11208 GB.RVC.TOTL.GD.ZS
#> 11210 GB.SOE.DECT.ZS
#> 11212 GB.SOE.ECON.GD.ZS
#> 11213 GB.SOE.ECON.GDP.ZS
#> 11216 GB.SOE.NFLW.GD.ZS
#> 11217 GB.SOE.NFLW.GDP.ZS
#> 11218 GB.SOE.OVRL.GD.ZS
#> 11219 GB.SOE.OVRL.GDP.ZS
#> 11244 GB.TAX.TOTL.GD.ZS
#> 11245 GB.TAX.TOTL.GDP.ZS
#> 11263 GB.XPD.DEFN.GDP.ZS
#> 11266 GB.XPD.RSDV.GD.ZS
#> 11269 GB.XPD.TOTL.GD.ZS
#> 11270 GB.XPD.TOTL.GDP.ZS
#> 11277 GC.AST.TOTL.GD.ZS
#> 11280 GC.BAL.CASH.GD.ZS
#> 11285 GC.DOD.TOTL.GD.ZS
#> 11289 GC.FIN.DOMS.GD.ZS
#> 11291 GC.FIN.FRGN.GD.ZS
#> 11293 GC.LBL.TOTL.GD.ZS
#> 11295 GC.NFN.TOTL.GD.ZS
#> 11297 GC.NLD.TOTL.GD.ZS
#> 11308 GC.REV.XGRT.GD.ZS
#> 11323 GC.TAX.TOTL.GD.ZS
#> 11340 GC.XPN.TOTL.GD.ZS
#> 11583 GFDD.DI.01
#> 11584 GFDD.DI.02
#> 11585 GFDD.DI.03
#> 11587 GFDD.DI.05
#> 11588 GFDD.DI.06
#> 11589 GFDD.DI.07
#> 11590 GFDD.DI.08
#> 11591 GFDD.DI.09
#> 11592 GFDD.DI.10
#> 11593 GFDD.DI.11
#> 11594 GFDD.DI.12
#> 11595 GFDD.DI.13
#> 11596 GFDD.DI.14
#> 11597 GFDD.DM.01
#> 11598 GFDD.DM.02
#> 11599 GFDD.DM.03
#> 11600 GFDD.DM.04
#> 11601 GFDD.DM.05
#> 11602 GFDD.DM.06
#> 11603 GFDD.DM.07
#> 11604 GFDD.DM.08
#> 11605 GFDD.DM.09
#> 11606 GFDD.DM.10
#> 11607 GFDD.DM.11
#> 11608 GFDD.DM.12
#> 11609 GFDD.DM.13
#> 11612 GFDD.DM.16
#> 11620 GFDD.EI.08
#> 11625 GFDD.OI.02
#> 11628 GFDD.OI.08
#> 11629 GFDD.OI.09
#> 11633 GFDD.OI.13
#> 11634 GFDD.OI.14
#> 11638 GFDD.OI.17
#> 11639 GFDD.OI.18
#> 11640 GFDD.OI.19
#> 12908 IC.FRM.PROD.GROW.PEFT3
#> 12922 IC.FRM.SLS.GROW.PEFT1
#> 13091 IE.ICT.TOTL.GD.ZS
#> 13158 IN.EC.GSDP.PERCAP.NOM.INR
#> 13159 IN.EC.GSDP.PERCAP.NOM.USD
#> 13160 IN.EC.GSDP.PERCAP.REAL.INR
#> 13161 IN.EC.GSDP.PERCAP.REAL.INR.GRWTHRAT
#> 13162 IN.EC.GSDP.PERCAP.REAL.USD
#> 13163 IN.EC.GSDP.PERCAP.REAL.USD.GRWTHRAT
#> 13440 IS.RRS.GOOD.KM.PP.ZS
#> 13442 IS.RRS.PASG.K2.PP.ZS
#> 13550 IT.TEL.REVN.GD.ZS
#> 15558 MO.INDEX.ECON.XQ
#> 15582 MS.MIL.XPND.GD.ZS
#> 15587 NA.GDP.ACC.FB.SNA08.CR
#> 15588 NA.GDP.ACC.FB.SNA08.KR
#> 15589 NA.GDP.AGR.CR
#> 15590 NA.GDP.AGR.KR
#> 15591 NA.GDP.AGR.SNA08.CR
#> 15592 NA.GDP.AGR.SNA08.KR
#> 15593 NA.GDP.BUSS.SNA08.CR
#> 15594 NA.GDP.BUSS.SNA08.KR
#> 15595 NA.GDP.CNST.CR
#> 15596 NA.GDP.CNST.KR
#> 15597 NA.GDP.CNST.SNA08.CR
#> 15598 NA.GDP.CNST.SNA08.KR
#> 15599 NA.GDP.EDUS.SNA08.CR
#> 15600 NA.GDP.EDUS.SNA08.KR
#> 15601 NA.GDP.ELEC.GAS.SNA08.CR
#> 15602 NA.GDP.ELEC.GAS.SNA08.KR
#> 15603 NA.GDP.EXC.OG.CR
#> 15604 NA.GDP.EXC.OG.KR
#> 15605 NA.GDP.FINS.CR
#> 15606 NA.GDP.FINS.KR
#> 15607 NA.GDP.FINS.SNA08.CR
#> 15608 NA.GDP.FINS.SNA08.KR
#> 15609 NA.GDP.HLTH.SOCW.SNA08.CR
#> 15610 NA.GDP.HLTH.SOCW.SNA08.KR
#> 15611 NA.GDP.INC.OG.CR
#> 15612 NA.GDP.INC.OG.KR
#> 15613 NA.GDP.INC.OG.SNA08.CR
#> 15614 NA.GDP.INC.OG.SNA08.KR
#> 15615 NA.GDP.INF.COMM.SNA08.CR
#> 15616 NA.GDP.INF.COMM.SNA08.KR
#> 15617 NA.GDP.MINQ.CR
#> 15618 NA.GDP.MINQ.KR
#> 15619 NA.GDP.MINQ.SNA08.CR
#> 15620 NA.GDP.MINQ.SNA08.KR
#> 15621 NA.GDP.MNF.CR
#> 15622 NA.GDP.MNF.KR
#> 15623 NA.GDP.MNF.SNA08.CR
#> 15624 NA.GDP.MNF.SNA08.KR
#> 15625 NA.GDP.PADM.DEF.SNA08.CR
#> 15626 NA.GDP.PADM.DEF.SNA08.KR
#> 15627 NA.GDP.REST.SNA08.CR
#> 15628 NA.GDP.REST.SNA08.KR
#> 15629 NA.GDP.SRV.OTHR.CR
#> 15630 NA.GDP.SRV.OTHR.KR
#> 15631 NA.GDP.SRV.OTHR.SNA08.CR
#> 15632 NA.GDP.SRV.OTHR.SNA08.KR
#> 15633 NA.GDP.TRAN.COMM.CR
#> 15634 NA.GDP.TRAN.COMM.KR
#> 15635 NA.GDP.TRAN.STOR.SNA08.CR
#> 15636 NA.GDP.TRAN.STOR.SNA08.KR
#> 15637 NA.GDP.TRD.HTL.CR
#> 15638 NA.GDP.TRD.HTL.KR
#> 15639 NA.GDP.TRD.SNA08.CR
#> 15640 NA.GDP.TRD.SNA08.KR
#> 15641 NA.GDP.UTL.CR
#> 15642 NA.GDP.UTL.KR
#> 15643 NA.GDP.WTR.WST.SNA08.CR
#> 15644 NA.GDP.WTR.WST.SNA08.KR
#> 15653 NE.CON.GOVT.ZS
#> 15655 NE.CON.PCAP.PP.CD
#> 15656 NE.CON.PCAP.PP.KD
#> 15666 NE.CON.PETC.ZS
#> 15681 NE.CON.PRVT.PP.CD
#> 15682 NE.CON.PRVT.PP.KD
#> 15683 NE.CON.PRVT.ZS
#> 15693 NE.CON.TETC.ZS
#> 15701 NE.CON.TOTL.ZG
#> 15702 NE.CON.TOTL.ZS
#> 15712 NE.DAB.TOTL.ZS
#> 15724 NE.EXP.GNFS.ZS
#> 15726 NE.GDI.CON.GOVT.CR
#> 15727 NE.GDI.CON.GOVT.SNA08.CR
#> 15728 NE.GDI.CON.NPI.CR
#> 15729 NE.GDI.CON.NPI.SNA08.CR
#> 15730 NE.GDI.CON.PRVT.CR
#> 15731 NE.GDI.CON.PRVT.SNA08.CR
#> 15732 NE.GDI.EXPT.CR
#> 15733 NE.GDI.EXPT.SNA08.CR
#> 15758 NE.GDI.FPRV.ZS
#> 15763 NE.GDI.FPUB.ZS
#> 15766 NE.GDI.FTOT.CR
#> 15773 NE.GDI.FTOT.SNA08.CR
#> 15774 NE.GDI.FTOT.ZS
#> 15775 NE.GDI.IMPT.CR
#> 15776 NE.GDI.IMPT.SNA08.CR
#> 15777 NE.GDI.INEX.SNA08.CR
#> 15782 NE.GDI.STKB.CR
#> 15786 NE.GDI.STKB.SNA08.CR
#> 15795 NE.GDI.TOTL.CR
#> 15802 NE.GDI.TOTL.SNA08.CR
#> 15803 NE.GDI.TOTL.ZG
#> 15804 NE.GDI.TOTL.ZS
#> 15814 NE.IMP.GNFS.ZS
#> 15815 NE.MRCH.GDP.ZS
#> 15821 NE.RSB.GNFS.ZG
#> 15822 NE.RSB.GNFS.ZS
#> 15825 NE.TRD.GNFS.ZS
#> 15889 NP.AGR.TOTL.ZG
#> 15893 NP.IND.TOTL.ZG
#> 15899 NP.SRV.TOTL.ZG
#> 15907 NV.AGR.PCAP.KD.ZG
#> 15917 NV.AGR.TOTL.ZG
#> 15918 NV.AGR.TOTL.ZS
#> 15938 NV.IND.MANF.ZS
#> 15952 NV.IND.TOTL.ZG
#> 15953 NV.IND.TOTL.ZS
#> 15971 NV.SRV.DISC.CD
#> 15972 NV.SRV.DISC.CN
#> 15973 NV.SRV.DISC.KN
#> 15990 NV.SRV.TETC.ZG
#> 15991 NV.SRV.TETC.ZS
#> 15997 NV.SRV.TOTL.ZS
#> 16008 NW.HCA.FEMA.PC
#> 16010 NW.HCA.FEMA.TO
#> 16012 NW.HCA.MALE.PC
#> 16014 NW.HCA.MALE.TO
#> 16016 NW.HCA.PC
#> 16018 NW.HCA.TO
#> 16020 NW.NCA.AGRI.PC
#> 16022 NW.NCA.AGRI.TO
#> 16026 NW.NCA.FISH.PC
#> 16028 NW.NCA.FISH.TO
#> 16042 NW.NCA.FTIM.PC
#> 16044 NW.NCA.FTIM.TO
#> 16050 NW.NCA.MANG.PC
#> 16052 NW.NCA.MANG.TO
#> 16070 NW.NCA.MINR.PC
#> 16072 NW.NCA.MINR.TO
#> 16112 NW.NCA.SACO.PC
#> 16114 NW.NCA.SACO.TO
#> 16116 NW.NCA.SAGA.PC
#> 16118 NW.NCA.SAGA.TO
#> 16120 NW.NCA.SAOI.PC
#> 16122 NW.NCA.SAOI.TO
#> 16124 NW.NCA.SSOI.PC
#> 16126 NW.NCA.SSOI.TO
#> 16132 NW.NFA.PC
#> 16134 NW.NFA.TO
#> 16140 NW.PCA.PC
#> 16143 NW.PCA.TO
#> 16146 NW.TOW.PC
#> 16148 NW.TOW.TO
#> 16180 NY.AGR.SUBS.GD.ZS
#> 16184 NY.GDP.COAL.RT.ZS
#> 16185 NY.GDP.DEFL.87.ZG
#> 16186 NY.GDP.DEFL.KD.ZG
#> 16187 NY.GDP.DEFL.KD.ZG.AD
#> 16188 NY.GDP.DEFL.ZS
#> 16189 NY.GDP.DEFL.ZS.87
#> 16190 NY.GDP.DEFL.ZS.AD
#> 16191 NY.GDP.DISC.CD
#> 16192 NY.GDP.DISC.CN
#> 16193 NY.GDP.DISC.KN
#> 16194 NY.GDP.FCST.CD
#> 16195 NY.GDP.FCST.CN
#> 16196 NY.GDP.FCST.KD
#> 16197 NY.GDP.FCST.KD.87
#> 16198 NY.GDP.FCST.KN
#> 16199 NY.GDP.FCST.KN.87
#> 16200 NY.GDP.FRST.RT.ZS
#> 16201 NY.GDP.MINR.RT.ZS
#> 16202 NY.GDP.MKTP.CD
#> 16203 NY.GDP.MKTP.CD.XD
#> 16204 NY.GDP.MKTP.CN
#> 16205 NY.GDP.MKTP.CN.AD
#> 16206 NY.GDP.MKTP.CN.XD
#> 16207 NY.GDP.MKTP.IN
#> 16208 NY.GDP.MKTP.KD
#> 16209 NY.GDP.MKTP.KD.87
#> 16210 NY.GDP.MKTP.KD.ZG
#> 16211 NY.GDP.MKTP.KN
#> 16212 NY.GDP.MKTP.KN.87
#> 16213 NY.GDP.MKTP.KN.87.ZG
#> 16214 NY.GDP.MKTP.PP.CD
#> 16215 NY.GDP.MKTP.PP.KD
#> 16216 NY.GDP.MKTP.PP.KD.87
#> 16217 NY.GDP.MKTP.XD
#> 16218 NY.GDP.MKTP.XU.E
#> 16219 NY.GDP.MKTP.ZG
#> 16220 NY.GDP.NGAS.RT.ZS
#> 16221 NY.GDP.PCAP.CD
#> 16222 NY.GDP.PCAP.CN
#> 16223 NY.GDP.PCAP.KD
#> 16224 NY.GDP.PCAP.KD.ZG
#> 16225 NY.GDP.PCAP.KN
#> 16226 NY.GDP.PCAP.PP.CD
#> 16227 NY.GDP.PCAP.PP.KD
#> 16228 NY.GDP.PCAP.PP.KD.87
#> 16229 NY.GDP.PCAP.PP.KD.ZG
#> 16230 NY.GDP.PETR.RT.ZS
#> 16231 NY.GDP.TOTL.RT.ZS
#> 16238 NY.GDS.TOTL.CD
#> 16239 NY.GDS.TOTL.CN
#> 16240 NY.GDS.TOTL.KD
#> 16242 NY.GDS.TOTL.KN
#> 16244 NY.GDS.TOTL.ZS
#> 16245 NY.GDY.TOTL.KD
#> 16247 NY.GDY.TOTL.KN
#> 16249 NY.GEN.AEDU.GD.ZS
#> 16250 NY.GEN.DCO2.GD.ZS
#> 16251 NY.GEN.DFOR.GD.ZS
#> 16252 NY.GEN.DKAP.GD.ZS
#> 16253 NY.GEN.DMIN.GD.ZS
#> 16254 NY.GEN.DNGY.GD.ZS
#> 16255 NY.GEN.NDOM.GD.ZS
#> 16256 NY.GEN.SVNG.GD.ZS
#> 16268 NY.GNP.MKTP.PP.CD
#> 16269 NY.GNP.MKTP.PP.KD
#> 16279 NY.GNP.PCAP.PP.CD
#> 16280 NY.GNP.PCAP.PP.KD
#> 16289 NY.GNS.ICTR.ZS
#> 16327 NYGDPMKTPKDZ
#> 16328 NYGDPMKTPSACD
#> 16329 NYGDPMKTPSACN
#> 16330 NYGDPMKTPSAKD
#> 16331 NYGDPMKTPSAKN
#> 16407 PA.NUS.GDP.PLI
#> 16408 PA.NUS.PPP
#> 16409 PA.NUS.PPP.05
#> 16410 PA.NUS.PPPC.RF
#> 16412 PA.NUS.PRVT.PP
#> 16471 PER.ALL.CNTRL.GDP
#> 16479 PER.ALL.CPL.GDP
#> 16504 PER.ALL.PS.GDP
#> 16526 PER.ALL.RCT.GDP
#> 16535 PER.ALL.SAL.GDP
#> 16544 PER.ALL.SUB.GDP
#> 16549 PER.ALL.TSAL.GDP
#> 16551 PER.ALL.TTL.GDP
#> 16552 PER.ALL.TTL.GDP.GOV
#> 16565 PER.BAS.GDP
#> 16581 PER.BAS.PS.GDP
#> 16600 PER.BAS.SAL.GDP
#> 16611 PER.EFF.GDP
#> 16612 PER.EFF.SUB.GDP
#> 16614 PER.EFF.TEACH.GDP
#> 16648 PER.JR.PS.GDP
#> 16665 PER.JR.SAL.GDP
#> 16681 PER.OC.FEED.GDP
#> 16762 PER.OC.TRA.GDP
#> 16786 PER.PP.GDP
#> 16791 PER.PP.PS.GDP
#> 16841 PER.PRM.GDP
#> 16858 PER.PRM.PS.GDP
#> 16880 PER.PRM.RCT.GDP
#> 16884 PER.PRM.SAL.GDP
#> 16936 PER.SEC.GDP
#> 16952 PER.SEC.PS.GDP
#> 16975 PER.SEC.RCT.GDP
#> 16979 PER.SEC.SAL.GDP
#> 17047 PER.SOR.GOV.GDP
#> 17107 PER.SOR.ITL.GDP
#> 17128 PER.SOR.PVT.GDP
#> 17129 PER.SOR.PVT.GDP.PP
#> 17130 PER.SOR.PVT.GDP.PRM
#> 17131 PER.SOR.PVT.GDP.SEC
#> 17132 PER.SOR.PVT.GDP.TER
#> 17187 PER.SR.PS.GDP
#> 17204 PER.SR.SAL.GDP
#> 17236 PER.TER.GDP
#> 17244 PER.TER.PS.GDP
#> 17264 PER.TER.RCT.GDP
#> 17268 PER.TER.SAL.GDP
#> 17291 PER.TT.PS.GDP
#> 17306 PER.VOC.GDP
#> 17311 PER.VOC.PS.GDP
#> 21507 REV.DAU.CR
#> 24330 SE.PRM.BFIN.6
#> 24703 SE.PRM.SATT.2
#> 24767 SE.PRM.TATT.1
#> 24994 SE.XPD.EDUC.ZS
#> 24999 SE.XPD.PRIM.GDP.ZS
#> 25000 SE.XPD.PRIM.PC.ZS
#> 25003 SE.XPD.SECO.GDP.ZS
#> 25004 SE.XPD.SECO.PC.ZS
#> 25008 SE.XPD.TERT.GDP.ZS
#> 25009 SE.XPD.TERT.PC.ZS
#> 25012 SE.XPD.TOTL.GD.ZS
#> 25032 SF.TRN.RAIL.KM.ZS
#> 25912 SH.STA.MMRT
#> 26056 SH.XPD.CHEX.GD.ZS
#> 26065 SH.XPD.GHED.GD.ZS
#> 26069 SH.XPD.HLTH.ZS
#> 26070 SH.XPD.KHEX.GD.ZS
#> 26082 SH.XPD.PRIV.ZS
#> 26085 SH.XPD.PUBL.ZS
#> 26091 SH.XPD.TOTL.ZS
#> 26265 SL.GDP.PCAP.EM.KD
#> 26266 SL.GDP.PCAP.EM.KD.ZG
#> 26267 SL.GDP.PCAP.EM.XD
#> 27003 SPI.D5.2.3.CNIN
#> 27005 SPI.D5.2.5.HOUS
#> 27010 SPI.D5.5.DIFI
#> 27045 TG.VAL.TOTL.GD.PP.ZS
#> 27046 TG.VAL.TOTL.GD.ZS
#> 27047 TG.VAL.TOTL.GG.ZS
#> 29254 UIS.X.PPPCONST.02.FSGOV
#> 29255 UIS.X.PPPCONST.1.FSGOV
#> 29256 UIS.X.PPPCONST.2.FSGOV
#> 29257 UIS.X.PPPCONST.2T3.FSGOV
#> 29258 UIS.X.PPPCONST.2T4.V.FSGOV
#> 29259 UIS.X.PPPCONST.3.FSGOV
#> 29260 UIS.X.PPPCONST.4.FSGOV
#> 29261 UIS.X.PPPCONST.5T8.FSGOV
#> 29262 UIS.X.PPPCONST.FSGOV
#> 29263 UIS.X.PPPCONST.UK.FSGOV
#> 29274 UIS.X.USCONST.02.FSGOV
#> 29275 UIS.X.USCONST.1.FSGOV
#> 29276 UIS.X.USCONST.2.FSGOV
#> 29277 UIS.X.USCONST.2T3.FSGOV
#> 29278 UIS.X.USCONST.2T4.V.FSGOV
#> 29279 UIS.X.USCONST.3.FSGOV
#> 29280 UIS.X.USCONST.4.FSGOV
#> 29281 UIS.X.USCONST.5T8.FSGOV
#> 29282 UIS.X.USCONST.FSGOV
#> 29283 UIS.X.USCONST.UK.FSGOV
#> 29284 UIS.XGDP.0.FSGOV
#> 29285 UIS.XGDP.1.FSGOV
#> 29286 UIS.XGDP.2.FSGOV
#> 29287 UIS.XGDP.23.FSGOV
#> 29288 UIS.XGDP.2T4.V.FSGOV
#> 29289 UIS.XGDP.3.FSGOV
#> 29290 UIS.XGDP.4.FSGOV
#> 29291 UIS.XGDP.56.FSGOV
#> 29341 UIS.XUNIT.GDPCAP.02.FSGOV
#> 29342 UIS.XUNIT.GDPCAP.1.FSGOV
#> 29343 UIS.XUNIT.GDPCAP.1.FSHH
#> 29344 UIS.XUNIT.GDPCAP.2.FSGOV
#> 29345 UIS.XUNIT.GDPCAP.23.FSGOV
#> 29346 UIS.XUNIT.GDPCAP.23.FSHH
#> 29347 UIS.XUNIT.GDPCAP.3.FSGOV
#> 29348 UIS.XUNIT.GDPCAP.5T8.FSGOV
#> 29349 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 $)
#> 2096 Trade in services (% of GDP)
#> 2097 Gross private capital flows (% of GDP, PPP)
#> 2098 Gross private capital flows (% of GDP)
#> 2099 Gross foreign direct investment (% of GDP, PPP)
#> 2100 Gross foreign direct investment (% of GDP)
#> 2401 Wage bill as a percentage of GDP
#> 2424 Merchandise imports (BOP): percentage of GDP (%)
#> 2436 Foreign direct investment, net outflows (% of GDP)
#> 2437 Foreign direct investment, net outflows (% of GDP)
#> 2450 Current account balance (% of GDP)
#> 2451 Current account balance (% of GDP)
#> 2454 Curr. acc. bal. before official transf. (% of GDP)
#> 2457 Current account balance excluding net official capital grants (% of GDP)
#> 2463 Net income (% of GDP)
#> 2472 Foreign direct investment (% of GDP)
#> 2474 Foreign direct investment, net inflows (% of GDP)
#> 2480 Private capital flows, total (% of GDP)
#> 2491 Net current transfers (% of GDP)
#> 2540 Merchandise exports (BOP): percentage of GDP (%)
#> 2552 Foreign direct investment, net inflows (% of GDP)
#> 2554 Foreign direct investment, net inflows (% of GDP)
#> 2563 Migrant remittance inflows (% of GDP)
#> 2569 Personal remittances, received (% of GDP)
#> 2570 Workers' remittances, receipts (% of GDP)
#> 2867 Total energy tax revenue (% of GDP)
#> 2868 Total environmental tax revenue (% of GDP)
#> 2943 Macro drivers of GHG emissions growth in the period 2012-2018 - Emission Intensity of GDP
#> 2944 Macro drivers of GHG emissions growth in the period 2012-2018 - GDP per capita
#> 2967 Annual investment needs for coastal protection, by risk strategy (% of GDP) - low risk tolerance
#> 2968 Annual investment needs for coastal protection, by risk strategy (% of GDP) - constant relative flood risk
#> 2969 Annual investment needs for coastal protection, by risk strategy (% of GDP) - optimal protection
#> 3032 Risk to asset (average annual losses as % of GDP)
#> 3033 Risk to wellbeing (average annual losses as % of GDP)
#> 3042 Public social protection expenditure (%of GDP)
#> 3135 Financing via international capital markets (gross inflows, % of GDP)
#> 3138 Market capitalization of listed domestic companies (% of GDP)
#> 3141 Stocks traded, total value (% of GDP)
#> 4289 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4292 Gross PSD, Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4295 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4298 Gross PSD, General Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4301 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 4306 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4309 Gross PSD, Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4312 Gross PSD, Financial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4315 Gross PSD, General Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4318 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 4323 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4326 Gross PSD, Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4329 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4332 Gross PSD, General Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4335 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 4340 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4343 Gross PSD, Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4346 Gross PSD, Financial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 4349 Gross PSD, General Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 4352 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 4357 Gross PSD, Budgetary Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4360 Gross PSD, Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4363 Gross PSD, Financial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4366 Gross PSD, General Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4369 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 4374 Gross PSD, Budgetary Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4377 Gross PSD, Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4380 Gross PSD, Financial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4383 Gross PSD, General Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4386 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4389 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4392 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4395 Gross PSD, General Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4398 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 4403 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4406 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4409 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4412 Gross PSD, General Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4415 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 4420 Gross PSD, Nonfinancial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 4424 Gross PSD, Central Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 4426 Gross PSD, General Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 4428 Gross PSD, Central Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 4430 Gross PSD, General Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 4432 Gross PSD, Central Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 4434 Gross PSD, General Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 4436 Gross PSD, Central Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 4438 Gross PSD, General Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 4440 Gross PSD, Central Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 4442 Gross PSD, General Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 4445 Gross PSD, Budgetary Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4448 Gross PSD, Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4451 Gross PSD, Financial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 4454 Gross PSD, General Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 4457 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4460 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4463 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4466 Gross PSD, General Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4469 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 4474 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4477 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4480 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4483 Gross PSD, General Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4486 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 4491 Gross PSD, Budgetary Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4494 Gross PSD, Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4497 Gross PSD, Financial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 4500 Gross PSD, General Gov., All maturities, Debt Securities, Market value, % of GDP
#> 4503 Gross PSD, Nonfinancial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 4508 Gross PSD, Nonfinancial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 4513 Gross PSD, Budgetary Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4516 Gross PSD, Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4519 Gross PSD, Financial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4522 Gross PSD, General Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4525 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
#> 4528 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4531 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
#> 4534 Gross PSD, General Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4537 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
#> 4542 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
#> 4545 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4548 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
#> 4551 Gross PSD, General Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4554 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
#> 4559 Gross PSD, Nonfinancial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4564 Gross PSD, Budgetary Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4567 Gross PSD, Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4570 Gross PSD, Financial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 4573 Gross PSD, General Gov., All maturities, Loans, Nominal Value, % of GDP
#> 4576 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4579 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4582 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4585 Gross PSD, General Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4588 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 4593 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4596 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4599 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4602 Gross PSD, General Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4605 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 4610 Gross PSD, Nonfinancial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 4615 Gross PSD, Budgetary Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4618 Gross PSD, Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4621 Gross PSD, Financial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4624 Gross PSD, General Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4627 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4630 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4633 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4636 Gross PSD, General Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4639 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 4644 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4647 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4650 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4653 Gross PSD, General Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4656 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 4661 Gross PSD, Nonfinancial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 4666 Gross PSD, Budgetary Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4669 Gross PSD, Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4672 Gross PSD, Financial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4675 Gross PSD, General Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4678 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4681 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4684 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4687 Gross PSD, General Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4690 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 4695 Gross PSD, Nonfinancial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 4700 Gross PSD, Budgetary Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4703 Gross PSD, Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4706 Gross PSD, Financial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 4709 Gross PSD, General Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 4712 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4715 Gross PSD, Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4718 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4721 Gross PSD, General Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4724 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 4729 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4732 Gross PSD, Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4735 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4738 Gross PSD, General Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4741 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 4746 Gross PSD, Nonfinancial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 4752 Gross PSD, Budgetary Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4755 Gross PSD, Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4758 Gross PSD, Financial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4761 Gross PSD, General Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4764 Gross PSD, Nonfinancial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 4769 Gross PSD, Budgetary Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4772 Gross PSD, Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4775 Gross PSD, Financial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 4778 Gross PSD, General Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 4781 Gross PSD, Nonfinancial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 4786 Gross PSD, Budgetary Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4789 Gross PSD, Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4792 Gross PSD, Financial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4795 Gross PSD, General Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4798 Gross PSD, Nonfinancial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 4803 Gross PSD, Budgetary Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4806 Gross PSD, Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4809 Gross PSD, Financial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 4812 Gross PSD, General Gov., Short-term, Loans, Nominal Value, % of GDP
#> 4815 Gross PSD, Nonfinancial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 4820 Gross PSD, Budgetary Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4823 Gross PSD, Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4826 Gross PSD, Financial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4829 Gross PSD, General Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4832 Gross PSD, Nonfinancial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 4837 Gross PSD, Budgetary Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4840 Gross PSD, Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4843 Gross PSD, Financial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 4846 Gross PSD, General Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 4849 Gross PSD, Nonfinancial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 5345 Debt on Concessional terms to GDP (% of GDP)
#> 5348 Debt on Non-concessional terms to GDP (% of GDP)
#> 5349 Debt on Non-concessional terms to export ratio (% of exports)
#> 5503 Debt outstanding and disbursed, Total to GDP (% of GDP)
#> 7122 Net ODA received (% of GDP)
#> 7193 Net ODA received from DAC donors (% of recipient's GDP)
#> 7198 Net ODA received from multilateral donors (% of GDP)
#> 7206 Net ODA received from non-DAC bilateral donors (% of GDP)
#> 7212 Net ODA received (% of GDP)
#> 7362 Total debt service (% of GDP)
#> 7759 Economic Fitness Metric
#> 7762 Universal Economic Fitness Metric
#> 7766 Energy intensity level of primary energy (MJ/$2021 PPP GDP)
#> 7790 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 7791 GDP per unit of energy use (2000 US$ per kg of oil equivalent)
#> 7792 GDP per unit of energy use (PPP $ per kg of oil equivalent)
#> 7793 GDP per unit of energy use (constant 2021 PPP $ per kg of oil equivalent)
#> 7801 Energy use (kg of oil equivalent) per $1,000 GDP (constant 2021 PPP)
#> 7920 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 7924 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 7925 CO2 emissions (kg per 2010 US$ of GDP)
#> 7930 CO2 emissions (kg per PPP $ of GDP)
#> 7931 CO2 emissions (kg per 2011 PPP $ of GDP)
#> 8016 Carbon intensity of GDP (kg CO2e per constant 2015 US$ of GDP)
#> 8017 Carbon intensity of GDP (kg CO2e per 2021 PPP $ of GDP)
#> 8100 Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)
#> 8118 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 8172 Deposit insurance coverage (% of GDP per capita)
#> 8525 Domestic credit to private sector by banks (% of GDP)
#> 8634 Total reserves includes gold (% of GDP)
#> 10993 Claims on governments and other public entities (% of GDP)
#> 11002 Monetary Sector credit to private sector (% GDP)
#> 11011 Broad money (% of GDP)
#> 11018 Money and quasi money (M2) as % of GDP
#> 11019 Money and quasi money (M2) as % of GDP
#> 11021 Income velocity of money (GDP/M2)
#> 11026 Quasi-liquid liabilities (% of GDP)
#> 11027 Seignorage (% of GDP)
#> 11083 Real deposit interest rate (%)
#> 11092 Real interest rate (%)
#> 11097 Claims on central government, etc. (% GDP)
#> 11098 Claims on other sectors of the domestic economy (% of GDP)
#> 11099 Domestic credit provided by financial sector (% of GDP)
#> 11100 Domestic credit provided by banking sector (% of GDP)
#> 11102 Domestic credit to private sector (% of GDP)
#> 11103 Credit to private sector (% of GDP)
#> 11104 Liquid liabilities (M3) as % of GDP
#> 11105 Liquid liabilities (M3) as % of GDP
#> 11106 Quasi-liquid liabilities (% of GDP)
#> 11169 Overall budget balance, including grants (% of GDP)
#> 11170 Overall budget deficit, including grants (% of GDP)
#> 11179 Central government debt, total (% of GDP)
#> 11180 Central government debt, total (% of GDP)
#> 11184 Financing from abroad (% of GDP)
#> 11185 Financing from abroad (% of GDP)
#> 11189 Domestic financing, total (% of GDP)
#> 11190 Domestic finanacing (% of GDP)
#> 11200 Current revenue, excluding grants (% of GDP)
#> 11203 Current revenue (% of GDP)
#> 11205 Central government revenues, excluding all grants (% of GDP)
#> 11208 Current revenue, excluding grants (% of GDP)
#> 11210 SOE external debt (% of GDP)
#> 11212 State-owned enterprises, economic activity (% of GDP)
#> 11213 SOE economic activity (% of GDP)
#> 11216 State-owned enterprises, net financial flows from government (% of GDP)
#> 11217 SOE net financial flows from government (% of GDP)
#> 11218 State-owned enterprises, overall balance before transfers (% of GDP)
#> 11219 SOE overall balance before transfers (% of total)
#> 11244 Tax revenue (% of GDP)
#> 11245 Tax revenue (% of GDP)
#> 11263 Defense expenditure (% of GDP)
#> 11266 Research and development expenditure (% of GDP)
#> 11269 Expenditure, total (% of GDP)
#> 11270 Total expenditure (% of GDP)
#> 11277 Net acquisition of financial assets (% of GDP)
#> 11280 Cash surplus/deficit (% of GDP)
#> 11285 Central government debt, total (% of GDP)
#> 11289 Net incurrence of liabilities, domestic (% of GDP)
#> 11291 Net incurrence of liabilities, foreign (% of GDP)
#> 11293 Net incurrence of liabilities, total (% of GDP)
#> 11295 Net investment in nonfinancial assets (% of GDP)
#> 11297 Net lending (+) / net borrowing (-) (% of GDP)
#> 11308 Revenue, excluding grants (% of GDP)
#> 11323 Tax revenue (% of GDP)
#> 11340 Expense (% of GDP)
#> 11583 Private credit by deposit money banks to GDP (%)
#> 11584 Deposit money banks'' assets to GDP (%)
#> 11585 Nonbank financial institutions’ assets to GDP (%)
#> 11587 Liquid liabilities to GDP (%)
#> 11588 Central bank assets to GDP (%)
#> 11589 Mutual fund assets to GDP (%)
#> 11590 Financial system deposits to GDP (%)
#> 11591 Life insurance premium volume to GDP (%)
#> 11592 Non-life insurance premium volume to GDP (%)
#> 11593 Insurance company assets to GDP (%)
#> 11594 Private credit by deposit money banks and other financial institutions to GDP (%)
#> 11595 Pension fund assets to GDP (%)
#> 11596 Domestic credit to private sector (% of GDP)
#> 11597 Stock market capitalization to GDP (%)
#> 11598 Stock market total value traded to GDP (%)
#> 11599 Outstanding domestic private debt securities to GDP (%)
#> 11600 Outstanding domestic public debt securities to GDP (%)
#> 11601 Outstanding international private debt securities to GDP (%)
#> 11602 Outstanding international public debt securities to GDP (%)
#> 11603 International debt issues to GDP (%)
#> 11604 Gross portfolio equity liabilities to GDP (%)
#> 11605 Gross portfolio equity assets to GDP (%)
#> 11606 Gross portfolio debt liabilities to GDP (%)
#> 11607 Gross portfolio debt assets to GDP (%)
#> 11608 Syndicated loan issuance volume to GDP (%)
#> 11609 Corporate bond issuance volume to GDP (%)
#> 11612 Credit flows by fintech and bigtech companies to GDP (%)
#> 11620 Credit to government and state-owned enterprises to GDP (%)
#> 11625 Bank deposits to GDP (%)
#> 11628 Loans from nonresident banks (net) to GDP (%)
#> 11629 Loans from nonresident banks (amounts outstanding) to GDP (%)
#> 11633 Remittance inflows to GDP (%)
#> 11634 Consolidated foreign claims of BIS reporting banks to GDP (%)
#> 11638 Global leasing volume to GDP (%)
#> 11639 Total factoring volume to GDP (%)
#> 11640 Banking crisis dummy (1=banking crisis, 0=none)
#> 12908 Real annual labor productivity growth (%)
#> 12922 Real annual sales growth (%)
#> 13091 Information and communication technology expenditure (% of GDP)
#> 13158 Nominal GSDP Per Capita (INR)
#> 13159 Nominal GSDP Per Capita (USD)
#> 13160 Real GSDP Per Capita (INR)
#> 13161 Real GSDP Per Capita (INR) Growth Rate
#> 13162 Real GSDP Per Capita (USD)
#> 13163 Real GSDP Per Capita (USD) Growth Rate
#> 13440 Railways, goods transported (ton-km per PPP $ million of GDP)
#> 13442 Railways, passenger-km (per PPP $ million of GDP)
#> 13550 Telecommunications revenue (% GDP)
#> 15558 Sustainable Economic Opportunity
#> 15582 Military expenditure (% of GDP)
#> 15587 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15588 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15589 GDP on Agriculture Sector (in IDR Million), Current Price
#> 15590 GDP on Agriculture Sector (in IDR Million), Constant Price
#> 15591 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Current Price
#> 15592 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Constant Price
#> 15593 GDP on Business Services Sector (in IDR Million), SNA 2008, Current Price
#> 15594 GDP on Business Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15595 GDP on Construction Sector (in IDR Million), Current Price
#> 15596 GDP on Construction Sector (in IDR Million), Constant Price
#> 15597 GDP on Construction Sector (in IDR Million), SNA 2008, Current Price
#> 15598 GDP on Construction Sector (in IDR Million), SNA 2008, Constant Price
#> 15599 GDP on Education Services Sector (in IDR Million), SNA 2008, Current Price
#> 15600 GDP on Education Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15601 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Current Price
#> 15602 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Constant Price
#> 15603 Total GDP excluding Oil and Gas (in IDR Million), Current Price
#> 15604 Total GDP excluding Oil and Gas (in IDR Million), Constant Price
#> 15605 GDP on Financial Service Sector (in IDR Million), Current Price
#> 15606 GDP on Financial Service Sector (in IDR Million), Constant Price
#> 15607 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15608 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15609 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Current Price
#> 15610 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 15611 Total GDP including Oil and Gas (in IDR Million), Current Price
#> 15612 Total GDP including Oil and Gas (in IDR Million), Constant Price
#> 15613 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Current Price
#> 15614 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Constant Price
#> 15615 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Current Price
#> 15616 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Constant Price
#> 15617 GDP on Mining and Quarrying Sector (in IDR Million), Current Price
#> 15618 GDP on Mining and Quarrying Sector (in IDR Million), Constant Price
#> 15619 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Current Price
#> 15620 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Constant Price
#> 15621 GDP on Manufacturing Sector (in IDR Million), Current Price
#> 15622 GDP on Manufacturing Sector (in IDR Million), Constant Price
#> 15623 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Current Price
#> 15624 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Constant Price
#> 15625 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Current Price
#> 15626 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Constant Price
#> 15627 GDP on Real Estate Sector (in IDR Million), SNA 2008, Current Price
#> 15628 GDP on Real Estate Sector (in IDR Million), SNA 2008, Constant Price
#> 15629 GDP on Other Service Sector (in IDR Million), Current Price
#> 15630 GDP on Other Service Sector (in IDR Million), Constant Price
#> 15631 GDP on Other Services Sector (in IDR Million), SNA 2008, Current Price
#> 15632 GDP on Other Services Sector (in IDR Million), SNA 2008, Constant Price
#> 15633 GDP on Transportation and Telecommunication Sector (in IDR Million), Current Price
#> 15634 GDP on Transportation and Telecommunication Sector (in IDR Million), Constant Price
#> 15635 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Current Price
#> 15636 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Constant Price
#> 15637 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Current Price
#> 15638 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Constant Price
#> 15639 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Current Price
#> 15640 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Constant Price
#> 15641 GDP on Utilities Sector (in IDR Million), Current Price
#> 15642 GDP on Utilities Sector (in IDR Million), Constant Price
#> 15643 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Current Price
#> 15644 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Constant Price
#> 15653 General government final consumption expenditure (% of GDP)
#> 15655 Households and NPISHs Final consumption expenditure per capita, PPP (current international $)
#> 15656 Households and NPISHs Final consumption expenditure per capita, PPP (constant 2021 international $)
#> 15666 Household final consumption expenditure, etc. (% of GDP)
#> 15681 Households and NPISHs Final consumption expenditure, PPP (current international $)
#> 15682 Households and NPISHs Final consumption expenditure, PPP (constant 2021 international $)
#> 15683 Households and NPISHs final consumption expenditure (% of GDP)
#> 15693 Final consumption expenditure, etc. (% of GDP)
#> 15701 Total consumption: contribution to growth of GDP (%)
#> 15702 Final consumption expenditure (% of GDP)
#> 15712 Gross national expenditure (% of GDP)
#> 15724 Exports of goods and services (% of GDP)
#> 15726 GDP expenditure on general government consumption (in IDR Million)
#> 15727 GDP expenditure on general government consumption (in IDR Million), SNA 2008, Current Price
#> 15728 GDP expenditure on non profit private institution consumption (in IDR Million)
#> 15729 GDP expenditure on non profit private institution consumption (in IDR Million), SNA 2008, Current Price
#> 15730 GDP expenditure on private consumption (in IDR Million)
#> 15731 GDP expenditure on private consumption (in IDR Million), SNA 2008, Current Price
#> 15732 GDP expenditure on exports (in IDR Million)
#> 15733 GDP expenditure on exports (in IDR Million), SNA 2008, Current Price
#> 15758 Gross fixed capital formation, private sector (% of GDP)
#> 15763 Gross public investment (% of GDP)
#> 15766 GDP expenditure on gross fixed capital formation (in IDR Million)
#> 15773 GDP expenditure on gross fixed capital formation (in IDR Million), SNA 2008, Current Price
#> 15774 Gross fixed capital formation (% of GDP)
#> 15775 GDP expenditure on imports (in IDR Million)
#> 15776 GDP expenditure on imports (in IDR Million), SNA 2008, Current Price
#> 15777 GDP expenditure on inter-region net exports (in IDR Million), SNA 2008, Current Price
#> 15782 GDP expenditure on changes in stock (in IDR Million)
#> 15786 GDP expenditure on changes in stock (in IDR Million), SNA 2008, Current Price
#> 15795 Total GDP based on expenditure (in IDR Million)
#> 15802 Total GDP based on expenditure (in IDR Million), SNA 2008, Current Price
#> 15803 Gross domestic investment: contr. to growth of GDP(%)
#> 15804 Gross capital formation (% of GDP)
#> 15814 Imports of goods and services (% of GDP)
#> 15815 Merchandise trade to GDP ratio (%)
#> 15821 Resource balance: contribution to growth of GDP (%)
#> 15822 External balance on goods and services (% of GDP)
#> 15825 Trade (% of GDP)
#> 15889 Agriculture: contribution to growth of GDP (%)
#> 15893 Industry: contribution to growth of GDP (%)
#> 15899 Services: contribution to growth of GDP (%)
#> 15907 Real agricultural GDP per capita growth rate (%)
#> 15917 Real agricultural GDP growth rates (%)
#> 15918 Agriculture, forestry, and fishing, value added (% of GDP)
#> 15938 Manufacturing, value added (% of GDP)
#> 15952 Industry: contribution to growth of GDP (%)
#> 15953 Industry (including construction), value added (% of GDP)
#> 15971 Discrepancy in GDP, value added (current US$)
#> 15972 Discrepancy in GDP, value added (current LCU)
#> 15973 Discrepancy in GDP, value added (constant LCU)
#> 15990 Services: contribution to growth of GDP (%)
#> 15991 Services, etc., value added (% of GDP)
#> 15997 Services, value added (% of GDP)
#> 16008 Human capital per capita, female (real chained 2019 US$)
#> 16010 Human capital, female (real chained 2019 US$)
#> 16012 Human capital per capita, male (real chained 2019 US$)
#> 16014 Human capital, male (real chained 2019 US$)
#> 16016 Human capital per capita (real chained 2019 US$)
#> 16018 Human capital (real chained 2019 US$)
#> 16020 Renewable natural capital per capita, agricultural land (real chained 2019 US$)
#> 16022 Renewable natural capital, agricultural land (real chained 2019 US$)
#> 16026 Renewable natural capital per capita, fisheries (real chained 2019 US$)
#> 16028 Renewable natural capital, fisheries (real chained 2019 US$)
#> 16042 Renewable natural capital per capita, timber (real chained 2019 US$)
#> 16044 Renewable natural capital, timber (real chained 2019 US$)
#> 16050 Renewable natural capital per capita, mangroves (real chained 2019 US$)
#> 16052 Renewable natural capital, mangroves (real chained 2019 US$)
#> 16070 Nonrenewable natural capital per capita, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16072 Nonrenewable natural capital, metals and minerals, sub-index, total (real chained 2019 US$)
#> 16112 Nonrenewable natural capital per capita, coal (real chained 2019 US$)
#> 16114 Nonrenewable natural capital, coal (real chained 2019 US$)
#> 16116 Nonrenewable natural capital per capita, natural gas (real chained 2019 US$)
#> 16118 Nonrenewable natural capital, natural gas (real chained 2019 US$)
#> 16120 Nonrenewable natural capital per capita, oil (real chained 2019 US$)
#> 16122 Nonrenewable natural capital, oil (real chained 2019 US$)
#> 16124 Nonrenewable natural capital per capita, total (real chained 2019 US$)
#> 16126 Nonrenewable natural capital, total (real chained 2019 US$)
#> 16132 Foreign assets per capita (real chained 2019 US$)
#> 16134 Foreign assets (real chained 2019 US$)
#> 16140 Produced capital per capita (real chained 2019 US$)
#> 16143 Produced capital (real chained 2019 US$)
#> 16146 National comprehensive wealth per capita index (real chained 2019 US$)
#> 16148 National comprehensive wealth index (real chained 2019 US$)
#> 16180 Agricultural support estimate (% of GDP)
#> 16184 Coal rents (% of GDP)
#> 16185 Inflation, GDP deflator (annual %)
#> 16186 Inflation, GDP deflator (annual %)
#> 16187 Inflation, GDP deflator: linked series (annual %)
#> 16188 GDP deflator (base year varies by country)
#> 16189 GDP deflator (1987 = 100)
#> 16190 GDP deflator: linked series (base year varies by country)
#> 16191 Discrepancy in expenditure estimate of GDP (current US$)
#> 16192 Discrepancy in expenditure estimate of GDP (current LCU)
#> 16193 Discrepancy in expenditure estimate of GDP (constant LCU)
#> 16194 Gross value added at basic prices (GVA) (current US$)
#> 16195 Gross value added at basic prices (GVA) (current LCU)
#> 16196 Gross value added at basic prices (GVA) (constant 2015 US$)
#> 16197 GDP at factor cost (constant 1987 US$)
#> 16198 Gross value added at basic prices (GVA) (constant LCU)
#> 16199 GDP at factor cost (constant 1987 LCU)
#> 16200 Forest rents (% of GDP)
#> 16201 Mineral rents (% of GDP)
#> 16202 GDP (current US$)
#> 16203 GDP deflator, index (2000=100; US$ series)
#> 16204 GDP (current LCU)
#> 16205 GDP: linked series (current LCU)
#> 16206 GDP deflator, period average (LCU index 2000=100)
#> 16207 GDP Deflator
#> 16208 GDP (constant 2015 US$)
#> 16209 GDP at market prices (constant 1987 US$)
#> 16210 GDP growth (annual %)
#> 16211 GDP (constant LCU)
#> 16212 GDP at market prices (constant 1987 LCU)
#> 16213 GDP growth (annual %)
#> 16214 GDP, PPP (current international $)
#> 16215 GDP, PPP (constant 2021 international $)
#> 16216 GDP, PPP (constant 1987 international $)
#> 16217 GDP deflator (1987=100,Index)
#> 16218 GDP deflator, end period (base year varies by country)
#> 16219 Gross domestic product (Av. annual growth, %)
#> 16220 Natural gas rents (% of GDP)
#> 16221 GDP per capita (current US$)
#> 16222 GDP per capita (current LCU)
#> 16223 GDP per capita (constant 2015 US$)
#> 16224 GDP per capita growth (annual %)
#> 16225 GDP per capita (constant LCU)
#> 16226 GDP per capita, PPP (current international $)
#> 16227 GDP per capita, PPP (constant 2021 international $)
#> 16228 GDP per capita, PPP (constant 1987 international $)
#> 16229 GDP per capita, PPP annual growth (%)
#> 16230 Oil rents (% of GDP)
#> 16231 Total natural resources rents (% of GDP)
#> 16238 Gross domestic savings (current US$)
#> 16239 Gross domestic savings (current LCU)
#> 16240 Gross domestic savings, total (constant 2000 US$)
#> 16242 Gross domestic savings (constant LCU)
#> 16244 Gross domestic savings (% of GDP)
#> 16245 Gross domestic income (constant 2005 US$)
#> 16247 Gross domestic income (constant LCU)
#> 16249 Genuine savings: education expenditure (% of GDP)
#> 16250 Genuine savings: carbon dioxide damage (% of GDP)
#> 16251 Genuine savings: net forest depletion (% of GDP)
#> 16252 Genuine savings: consumption of fixed capital (% of GDP)
#> 16253 Genuine savings: mineral depletion (% of GDP)
#> 16254 Genuine savings: energy depletion (% of GDP)
#> 16255 Genuine savings: net domestic savings (% of GDP)
#> 16256 Genuine domestic savings (% of GDP)
#> 16268 GNI, PPP (current international $)
#> 16269 GNI, PPP (constant 2021 international $)
#> 16279 GNI per capita, PPP (current international $)
#> 16280 GNI per capita, PPP (constant 2021 international $)
#> 16289 Gross savings (% of GDP)
#> 16327 GDP growth, constant (average 2010-19 prices and exchange rates)
#> 16328 GDP,current US$,millions,seas. adj.,
#> 16329 GDP,current LCU,millions,seas. adj.,
#> 16330 GDP,constant 2010 US$,millions,seas. adj.,
#> 16331 GDP,constant 2010 LCU,millions,seas. adj.,
#> 16407 Price level index (GDP)
#> 16408 PPP conversion factor, GDP (LCU per international $)
#> 16409 2005 PPP conversion factor, GDP (LCU per international $)
#> 16410 Price level ratio of PPP conversion factor (GDP) to market exchange rate
#> 16412 PPP conversion factor, households and NPISHs Final consumption expenditure (LCU per international $)
#> 16471 World Bank: Share of GDP for central government expenditures on education (%)
#> 16479 World Bank: Public capital expenditure on education as % of GDP
#> 16504 World Bank: Public education expenditure per student (% of GDP per capita)
#> 16526 World Bank: Public recurrent expenditure on education (% of GDP)
#> 16535 World Bank: Education salary expenditures as a % of GDP
#> 16544 World Bank: Share of GDP for subnational government expenditures on education (%)
#> 16549 World Bank: Ratio of Teacher Salaries to per capita GDP
#> 16551 World Bank: Total education expenditure as % of GDP
#> 16552 World Bank: Total public education expenditure as % of GDP
#> 16565 World Bank: Share of GDP for education expenditures on basic education (%)
#> 16581 World Bank: Public education expenditure per student (% of GDP per capita), basic
#> 16600 World Bank: Ratio of Teacher Salaries to per capita GDP, basic education
#> 16611 World Bank: Share of GDP lost through inefficiencies (%)
#> 16612 World Bank: Share of GDP potentially saved with improved targeting of education subsidies (%)
#> 16614 World Bank: Share of GDP potentially saved with improved pupil/teacher ratios (%)
#> 16648 World Bank: Public education expenditure per student (% of GDP per capita), junior secondary
#> 16665 World Bank: Ratio of Teacher Salaries to per capita GDP, junior secondary
#> 16681 World Bank: School Feeding Programs (% of GDP)
#> 16762 World Bank: Central Government Transfers for education (% of GDP)
#> 16786 World Bank: Share of GDP for education expenditures on pre-primary education (%)
#> 16791 World Bank: Public education expenditure per student (% of GDP per capita), pre-primary
#> 16841 World Bank: Share of GDP for education expenditures on primary education (%)
#> 16858 World Bank: Public education expenditure per student (% of GDP per capita), primary
#> 16880 World Bank: Primary recurrent expenditures as a share of GDP (%)
#> 16884 World Bank: Ratio of Teacher Salaries to per capita GDP, primary
#> 16936 World Bank: Share of GDP for education expenditures on secondary education (%)
#> 16952 World Bank: Public education expenditure per student (% of GDP per capita), secondary
#> 16975 World Bank: Secondary recurrent expenditures as a share of GDP (%)
#> 16979 World Bank: Ratio of Teacher Salaries to per capita GDP, secondary
#> 17047 World Bank: Total education expenditure from public sources (% of GDP)
#> 17107 World Bank: Total education expenditures from international sources as a % of GDP
#> 17128 World Bank: Total private expenditure on education (% of GDP)
#> 17129 World Bank: Total private expenditure on pre-primary education (% of GDP)
#> 17130 World Bank: Total private expenditure on primary education (% of GDP)
#> 17131 World Bank: Total private expenditure on secondary education (% of GDP)
#> 17132 World Bank: Total private expenditure on tertiary education (% of GDP)
#> 17187 World Bank: Public education expenditure per student (% of GDP per capita), senior secondary
#> 17204 World Bank: Ratio of Teacher Salaries to per capita GDP, senior secondary
#> 17236 World Bank: Share of GDP for education expenditures on tertiary education (%)
#> 17244 World Bank: Public education expenditure per student (% of GDP per capita), tertiary
#> 17264 World Bank: Tertiary recurrent expenditures as a share of GDP (%)
#> 17268 World Bank: Ratio of Teacher Salaries to per capita GDP, tertiary
#> 17291 World Bank: Public education expenditure per student (% of GDP per capita), teacher training
#> 17306 World Bank: Share of GDP for education expenditures on technical/vocational education (%)
#> 17311 World Bank: Public education expenditure per student (% of GDP per capita), technical/vocational education
#> 21507 Total General Allocation Grant/DAU (in IDR)
#> 24330 (Financing) - Does the country spend 4-5% of GDP or 15-20% of public expenditures on education spending?
#> 24703 (De Facto) Average principal salary as percent of GDP per capita
#> 24767 (De Jure) Average starting public-school teacher salary as percent of GDP per capita
#> 24994 Public Expenditure on Education (% GDP)
#> 24999 Public spending on education, primary (% of GDP)
#> 25000 Government expenditure per student, primary (% of GDP per capita)
#> 25003 Public spending on education, secondary (% of GDP)
#> 25004 Government expenditure per student, secondary (% of GDP per capita)
#> 25008 Public spending on education, tertiary (% of GDP)
#> 25009 Government expenditure per student, tertiary (% of GDP per capita)
#> 25012 Government expenditure on education, total (% of GDP)
#> 25032 Rail traffic (km per million US$ GDP)
#> 25912 Maternal mortality ratio (modeled estimate, per 100,000 live births)
#> 26056 Current health expenditure (% of GDP)
#> 26065 Domestic general government health expenditure (% of GDP)
#> 26069 Public Expenditure on Health (% GDP)
#> 26070 Capital health expenditure (% of GDP)
#> 26082 Health expenditure, private (% of GDP)
#> 26085 Health expenditure, public (% of GDP)
#> 26091 Health expenditure, total (% of GDP)
#> 26265 GDP per person employed (constant 2021 PPP $)
#> 26266 GDP per person employed (annual % growth)
#> 26267 GDP per person employed, index (1980 = 100)
#> 27003 Classification of national industry
#> 27005 Classification of household consumption
#> 27010 Finance Indicator based on PARIS21 indicators on SDG 17.18.3 & SDG 17.19.1
#> 27045 Trade (% of GDP, PPP)
#> 27046 Merchandise trade (% of GDP)
#> 27047 Trade in goods (% of goods GDP)
#> 29254 Government expenditure on pre-primary education, constant PPP$ (millions)
#> 29255 Government expenditure on primary education, constant PPP$ (millions)
#> 29256 Government expenditure on lower secondary education, constant PPP$ (millions)
#> 29257 Government expenditure on secondary education, constant PPP$ (millions)
#> 29258 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant PPP$ (millions)
#> 29259 Government expenditure on upper secondary education, constant PPP$ (millions)
#> 29260 Government expenditure on post-secondary non-tertiary education, constant PPP$ (millions)
#> 29261 Government expenditure on tertiary education, constant PPP$ (millions)
#> 29262 Government expenditure on education, constant PPP$ (millions)
#> 29263 Government expenditure on education not specified by level, constant PPP$ (millions)
#> 29274 Government expenditure on pre-primary education, constant US$ (millions)
#> 29275 Government expenditure on primary education, constant US$ (millions)
#> 29276 Government expenditure on lower secondary education, constant US$ (millions)
#> 29277 Government expenditure on secondary education, constant US$ (millions)
#> 29278 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant US$ (millions)
#> 29279 Government expenditure on upper secondary education, constant US$ (millions)
#> 29280 Government expenditure on post-secondary non-tertiary education, constant US$ (millions)
#> 29281 Government expenditure on tertiary education, constant US$ (millions)
#> 29282 Government expenditure on education, constant US$ (millions)
#> 29283 Government expenditure on education not specified by level, constant US$ (millions)
#> 29284 Government expenditure on pre-primary education as % of GDP (%)
#> 29285 Government expenditure on primary education as % of GDP (%)
#> 29286 Government expenditure on lower secondary education as a percentage of GDP (%)
#> 29287 Government expenditure on secondary education as % of GDP (%)
#> 29288 Government expenditure on secondary and post-secondary non-tertiary vocational education as % of GDP (%)
#> 29289 Government expenditure on upper secondary education as a percentage of GDP (%)
#> 29290 Government expenditure on post-secondary non-tertiary education as % of GDP (%)
#> 29291 Government expenditure on tertiary education as % of GDP (%)
#> 29341 Initial government funding per pre-primary student as a percentage of GDP per capita
#> 29342 Initial government funding per primary student as a percentage of GDP per capita
#> 29343 Initial household funding per primary student as a percentage of GDP per capita
#> 29344 Initial government funding per lower secondary student as a percentage of GDP per capita
#> 29345 Initial government funding per secondary student as a percentage of GDP per capita
#> 29346 Initial household funding per secondary student as a percentage of GDP per capita
#> 29347 Initial government funding per upper secondary student as a percentage of GDP per capita
#> 29348 Initial government funding per tertiary student as a percentage of GDP per capita
#> 29349 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
#> 2096 <NA> 2 World Development Indicators
#> 2097 <NA> 57 WDI Database Archives
#> 2098 <NA> 57 WDI Database Archives
#> 2099 <NA> 57 WDI Database Archives
#> 2100 <NA> 57 WDI Database Archives
#> 2401 <NA> 64 Worldwide Bureaucracy Indicators
#> 2424 <NA> 57 WDI Database Archives
#> 2436 <NA> 57 WDI Database Archives
#> 2437 <NA> 2 World Development Indicators
#> 2450 <NA> 2 World Development Indicators
#> 2451 <NA> 57 WDI Database Archives
#> 2454 <NA> 57 WDI Database Archives
#> 2457 <NA> 11 Africa Development Indicators
#> 2463 <NA> 11 Africa Development Indicators
#> 2472 <NA> 11 Africa Development Indicators
#> 2474 <NA> 57 WDI Database Archives
#> 2480 <NA> 11 Africa Development Indicators
#> 2491 <NA> 11 Africa Development Indicators
#> 2540 <NA> 57 WDI Database Archives
#> 2552 <NA> 57 WDI Database Archives
#> 2554 <NA> 2 World Development Indicators
#> 2563 <NA> 11 Africa Development Indicators
#> 2569 <NA> 2 World Development Indicators
#> 2570 <NA> 11 Africa Development Indicators
#> 2867 <NA> 87 Country Climate and Development Report (CCDR)
#> 2868 <NA> 87 Country Climate and Development Report (CCDR)
#> 2943 <NA> 87 Country Climate and Development Report (CCDR)
#> 2944 <NA> 87 Country Climate and Development Report (CCDR)
#> 2967 <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)
#> 3032 <NA> 87 Country Climate and Development Report (CCDR)
#> 3033 <NA> 87 Country Climate and Development Report (CCDR)
#> 3042 <NA> 87 Country Climate and Development Report (CCDR)
#> 3135 <NA> 57 WDI Database Archives
#> 3138 <NA> 2 World Development Indicators
#> 3141 <NA> 2 World Development Indicators
#> 4289 <NA> 20 Quarterly Public Sector Debt
#> 4292 <NA> 20 Quarterly Public Sector Debt
#> 4295 <NA> 20 Quarterly Public Sector Debt
#> 4298 <NA> 20 Quarterly Public Sector Debt
#> 4301 <NA> 20 Quarterly Public Sector Debt
#> 4306 <NA> 20 Quarterly Public Sector Debt
#> 4309 <NA> 20 Quarterly Public Sector Debt
#> 4312 <NA> 20 Quarterly Public Sector Debt
#> 4315 <NA> 20 Quarterly Public Sector Debt
#> 4318 <NA> 20 Quarterly Public Sector Debt
#> 4323 <NA> 20 Quarterly Public Sector Debt
#> 4326 <NA> 20 Quarterly Public Sector Debt
#> 4329 <NA> 20 Quarterly Public Sector Debt
#> 4332 <NA> 20 Quarterly Public Sector Debt
#> 4335 <NA> 20 Quarterly Public Sector Debt
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#> 17264 <NA> 12 Education Statistics
#> 17268 <NA> 12 Education Statistics
#> 17291 <NA> 12 Education Statistics
#> 17306 <NA> 12 Education Statistics
#> 17311 <NA> 12 Education Statistics
#> 21507 <NA> 45 Indonesia Database for Policy and Economic Research
#> 24330 <NA> 84 Education Policy
#> 24703 <NA> 12 Education Statistics
#> 24767 <NA> 12 Education Statistics
#> 24994 <NA> 57 WDI Database Archives
#> 24999 <NA> 57 WDI Database Archives
#> 25000 <NA> 2 World Development Indicators
#> 25003 <NA> 57 WDI Database Archives
#> 25004 <NA> 2 World Development Indicators
#> 25008 <NA> 57 WDI Database Archives
#> 25009 <NA> 2 World Development Indicators
#> 25012 <NA> 2 World Development Indicators
#> 25032 <NA> 57 WDI Database Archives
#> 25912 <NA> 2 World Development Indicators
#> 26056 <NA> 2 World Development Indicators
#> 26065 <NA> 2 World Development Indicators
#> 26069 <NA> 57 WDI Database Archives
#> 26070 <NA> 16 Health Nutrition and Population Statistics
#> 26082 <NA> 57 WDI Database Archives
#> 26085 <NA> 57 WDI Database Archives
#> 26091 <NA> 57 WDI Database Archives
#> 26265 <NA> 2 World Development Indicators
#> 26266 <NA> 11 Africa Development Indicators
#> 26267 <NA> 57 WDI Database Archives
#> 27003 <NA> 83 Statistical Performance Indicators (SPI)
#> 27005 <NA> 83 Statistical Performance Indicators (SPI)
#> 27010 <NA> 83 Statistical Performance Indicators (SPI)
#> 27045 <NA> 57 WDI Database Archives
#> 27046 <NA> 2 World Development Indicators
#> 27047 <NA> 57 WDI Database Archives
#> 29254 <NA> 12 Education Statistics
#> 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
#> 29274 <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
#> 29341 <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
#> 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.
#> 2096 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.
#> 2097 <NA>
#> 2098 <NA>
#> 2099 <NA>
#> 2100 <NA>
#> 2401 <NA>
#> 2424 <NA>
#> 2436 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.
#> 2437 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.
#> 2450 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.
#> 2451 <NA>
#> 2454 <NA>
#> 2457 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.
#> 2463 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.
#> 2472 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.
#> 2474 <NA>
#> 2480 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.
#> 2491 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.
#> 2540 <NA>
#> 2552 <NA>
#> 2554 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.
#> 2563 Migrants’ remittances are defined as the sum of worker’s remittances,
#> 2569 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.
#> 2570 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.
#> 2867 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.
#> 2868 <NA>
#> 2943 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.
#> 2944 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.
#> 2967 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.
#> 2968 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.
#> 2969 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.
#> 3032 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.
#> 3033 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.
#> 3042 <NA>
#> 3135 <NA>
#> 3138 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.
#> 3141 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.
#> 4289 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4292 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4295 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4298 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4301 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4306 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4309 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4312 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4315 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4318 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4323 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4326 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4329 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4332 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4335 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4340 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4343 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4346 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4349 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4352 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4357 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4360 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4363 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4366 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4369 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4374 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4377 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4380 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4383 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4386 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4389 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4392 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4395 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4398 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4403 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4406 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4409 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4412 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4415 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4420 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4424 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4426 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4428 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4430 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4432 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4434 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4436 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4438 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4440 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4442 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4445 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4448 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4451 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4454 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4457 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4460 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4463 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4466 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4469 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4474 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4477 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4480 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4483 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4486 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4491 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4494 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4497 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4500 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4503 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4508 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4513 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4516 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4519 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4522 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4525 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4528 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4531 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4534 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4537 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4542 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4545 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4548 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4551 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4554 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4559 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4564 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4567 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4570 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4573 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4576 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4579 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4582 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4585 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4588 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4593 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4596 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4599 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4602 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4605 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4610 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4615 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4618 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4621 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4624 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4627 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4630 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4633 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4636 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4639 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4644 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4647 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4650 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4653 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4656 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4661 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4666 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4669 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4672 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4675 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4678 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4681 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4684 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4687 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4690 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4695 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4700 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4703 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4706 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4709 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4712 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4715 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4718 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4721 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4724 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4729 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4732 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4735 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4738 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4741 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4746 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4752 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4755 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4758 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4761 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4764 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4769 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4772 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4775 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4778 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4781 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4786 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4789 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4792 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4795 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4798 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4803 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4806 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4809 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4812 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4815 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4820 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4823 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4826 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4829 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4832 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4837 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4840 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4843 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4846 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 4849 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 5345 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.
#> 5348 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.
#> 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 divided by GDP at market prices in current U.S. dollars to facilitate comparison across economies.
#> 5503 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.
#> 7122 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.
#> 7193 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.
#> 7198 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.
#> 7206 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.
#> 7212 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).
#> 7362 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.
#> 7759 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.
#> 7762 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.
#> 7766 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.
#> 7790 <NA>
#> 7791 <NA>
#> 7792 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.
#> 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 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.
#> 7801 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.
#> 7920 <NA>
#> 7924 <NA>
#> 7925 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.
#> 7930 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.
#> 8016 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$.
#> 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 2021 PPP $.
#> 8100 Water productivity is calculated as GDP in constant prices divided by annual total water withdrawal.
#> 8118 <NA>
#> 8172 <NA>
#> 8525 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.
#> 8634 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.
#> 10993 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.
#> 11002 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.
#> 11011 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.
#> 11018 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).
#> 11019 <NA>
#> 11021 <NA>
#> 11026 <NA>
#> 11027 <NA>
#> 11083 Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator.
#> 11092 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.
#> 11097 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.
#> 11098 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.
#> 11099 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.
#> 11100 <NA>
#> 11102 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.
#> 11103 <NA>
#> 11104 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.
#> 11105 <NA>
#> 11106 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).
#> 11169 <NA>
#> 11170 <NA>
#> 11179 <NA>
#> 11180 <NA>
#> 11184 <NA>
#> 11185 <NA>
#> 11189 <NA>
#> 11190 <NA>
#> 11200 <NA>
#> 11203 <NA>
#> 11205 Central government revenues, excluding all grants.
#> 11208 <NA>
#> 11210 <NA>
#> 11212 <NA>
#> 11213 <NA>
#> 11216 <NA>
#> 11217 <NA>
#> 11218 <NA>
#> 11219 <NA>
#> 11244 <NA>
#> 11245 <NA>
#> 11263 <NA>
#> 11266 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.
#> 11269 <NA>
#> 11270 <NA>
#> 11277 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.
#> 11280 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).
#> 11285 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.
#> 11289 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.
#> 11291 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.
#> 11293 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.
#> 11295 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.
#> 11297 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.
#> 11308 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.
#> 11323 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.
#> 11340 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.
#> 11583 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).
#> 11584 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).
#> 11585 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).
#> 11587 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.
#> 11588 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).
#> 11589 Data taken from a variety of sources such as Investment Company Institute and national sources.
#> 11590 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).
#> 11591 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.
#> 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 Data taken from a variety of sources such as AXCO and national sources.
#> 11594 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)
#> 11595 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.
#> 11596 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.
#> 11597 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).
#> 11598 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).
#> 11599 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.
#> 11600 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.
#> 11601 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.
#> 11602 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.
#> 11603 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.
#> 11604 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).
#> 11605 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).
#> 11606 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).
#> 11607 <NA>
#> 11608 <NA>
#> 11609 <NA>
#> 11612 <NA>
#> 11620 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).
#> 11625 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).
#> 11628 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.
#> 11629 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.
#> 11633 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.
#> 11634 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.
#> 11638 Ratios calculated by source.
#> 11639 GDP data provided by IFS and converted into USD using IFS exchange rates.
#> 11640 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.
#> 12908 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.
#> 12922 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.
#> 13091 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.
#> 13158 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.
#> 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 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.
#> 13161 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.
#> 13162 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.
#> 13163 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.
#> 13440 <NA>
#> 13442 <NA>
#> 13550 Telecommunications revenue is the revenue from the provision of telecommunications services such as fixed-line, mobile, and data.
#> 15558 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.
#> 15582 Military expenditure by country as percentage of gross domestic product
#> 15587 <NA>
#> 15588 <NA>
#> 15589 <NA>
#> 15590 <NA>
#> 15591 <NA>
#> 15592 <NA>
#> 15593 <NA>
#> 15594 <NA>
#> 15595 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.
#> 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 <NA>
#> 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 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).
#> 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 <NA>
#> 15620 <NA>
#> 15621 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.
#> 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 <NA>
#> 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>
#> 15653 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.
#> 15655 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.
#> 15656 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.
#> 15666 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.
#> 15681 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.
#> 15682 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.
#> 15683 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.
#> 15693 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.
#> 15701 <NA>
#> 15702 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.
#> 15712 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.
#> 15724 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.
#> 15726 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.
#> 15727 <NA>
#> 15728 <NA>
#> 15729 <NA>
#> 15730 <NA>
#> 15731 <NA>
#> 15732 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.
#> 15733 <NA>
#> 15758 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.
#> 15763 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.
#> 15766 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.
#> 15773 <NA>
#> 15774 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.
#> 15775 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.
#> 15776 <NA>
#> 15777 <NA>
#> 15782 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.
#> 15786 <NA>
#> 15795 <NA>
#> 15802 <NA>
#> 15803 <NA>
#> 15804 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.
#> 15814 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.
#> 15815 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.
#> 15821 <NA>
#> 15822 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.
#> 15825 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.
#> 15889 <NA>
#> 15893 <NA>
#> 15899 <NA>
#> 15907 The growth rate of real per capita GDP in agriculture, expressed at an annual rate.
#> 15917 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.
#> 15918 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.
#> 15938 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.
#> 15952 <NA>
#> 15953 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.
#> 15971 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.
#> 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 local currency.
#> 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 constant local currency.
#> 15990 <NA>
#> 15991 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.
#> 15997 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.
#> 16008 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.
#> 16010 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.
#> 16012 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.
#> 16014 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.
#> 16016 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.
#> 16018 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.
#> 16020 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.
#> 16022 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.
#> 16026 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.
#> 16028 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.
#> 16042 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.
#> 16044 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.
#> 16050 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.
#> 16052 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.
#> 16070 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.
#> 16072 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.
#> 16112 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.
#> 16114 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.
#> 16116 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.
#> 16118 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.
#> 16120 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.
#> 16122 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.
#> 16124 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.
#> 16126 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.
#> 16132 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.
#> 16134 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.
#> 16140 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.
#> 16143 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.
#> 16146 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.
#> 16148 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.
#> 16180 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.
#> 16184 Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production.
#> 16185 <NA>
#> 16186 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.
#> 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. 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.
#> 16188 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).
#> 16189 <NA>
#> 16190 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).
#> 16191 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.
#> 16192 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.
#> 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 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.
#> 16194 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.
#> 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 series is expressed in local currency units.
#> 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 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.
#> 16197 <NA>
#> 16198 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.
#> 16199 <NA>
#> 16200 Forest rents are roundwood harvest times the product of regional prices and a regional rental rate.
#> 16201 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.
#> 16202 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.
#> 16203 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.
#> 16204 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.
#> 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 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.
#> 16206 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.
#> 16207 <NA>
#> 16208 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.
#> 16209 <NA>
#> 16210 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.
#> 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 is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment varies by country. This series is expressed in local currency units.
#> 16212 <NA>
#> 16213 <NA>
#> 16214 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.
#> 16215 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.
#> 16216 <NA>
#> 16217 <NA>
#> 16218 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.
#> 16219 <NA>
#> 16220 Natural gas rents are the difference between the value of natural gas production at regional prices and total costs of production.
#> 16221 Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. 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.
#> 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 series is expressed in local currency units.
#> 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 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.
#> 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 denotes the percentage change over each previous year of the constant price (base year 2015) series 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 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.
#> 16226 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.
#> 16227 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.
#> 16228 <NA>
#> 16229 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.
#> 16230 Oil rents are the difference between the value of crude oil production at regional prices and total costs of production.
#> 16231 Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.
#> 16238 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.
#> 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 series is expressed in local currency units.
#> 16240 Gross domestic savings are calculated as the difference between GDP and total consumption. Data are in constant 2000 U.S. dollars.
#> 16242 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in constant local currency.
#> 16244 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.
#> 16245 Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant 2010 U.S. dollars.
#> 16247 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.
#> 16249 <NA>
#> 16250 <NA>
#> 16251 <NA>
#> 16252 <NA>
#> 16253 <NA>
#> 16254 <NA>
#> 16255 <NA>
#> 16256 <NA>
#> 16268 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.
#> 16269 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.
#> 16279 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.
#> 16280 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.
#> 16289 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.
#> 16327 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.
#> 16328 <NA>
#> 16329 <NA>
#> 16330 <NA>
#> 16331 <NA>
#> 16407 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.
#> 16408 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.
#> 16409 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.
#> 16410 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.
#> 16412 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.
#> 16471 <NA>
#> 16479 <NA>
#> 16504 <NA>
#> 16526 <NA>
#> 16535 <NA>
#> 16544 <NA>
#> 16549 <NA>
#> 16551 <NA>
#> 16552 <NA>
#> 16565 <NA>
#> 16581 <NA>
#> 16600 <NA>
#> 16611 <NA>
#> 16612 <NA>
#> 16614 <NA>
#> 16648 <NA>
#> 16665 <NA>
#> 16681 <NA>
#> 16762 <NA>
#> 16786 <NA>
#> 16791 <NA>
#> 16841 <NA>
#> 16858 <NA>
#> 16880 <NA>
#> 16884 <NA>
#> 16936 <NA>
#> 16952 <NA>
#> 16975 <NA>
#> 16979 <NA>
#> 17047 <NA>
#> 17107 <NA>
#> 17128 <NA>
#> 17129 <NA>
#> 17130 <NA>
#> 17131 <NA>
#> 17132 <NA>
#> 17187 <NA>
#> 17204 <NA>
#> 17236 <NA>
#> 17244 <NA>
#> 17264 <NA>
#> 17268 <NA>
#> 17291 <NA>
#> 17306 <NA>
#> 17311 <NA>
#> 21507 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.
#> 24330 <NA>
#> 24703 <NA>
#> 24767 <NA>
#> 24994 <NA>
#> 24999 <NA>
#> 25000 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.
#> 25003 <NA>
#> 25004 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.
#> 25008 <NA>
#> 25009 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.
#> 25012 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.
#> 25032 <NA>
#> 25912 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).
#> 26056 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.
#> 26065 Public expenditure on health from domestic sources as a share of the economy as measured by GDP.
#> 26069 <NA>
#> 26070 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.
#> 26082 Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.
#> 26085 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.
#> 26091 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.
#> 26265 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.
#> 26266 GDP per person employed is gross domestic product (GDP) divided by total employment in the economy.
#> 26267 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.
#> 27003 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.
#> 27005 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.
#> 27010 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.
#> 27045 <NA>
#> 27046 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.
#> 27047 <NA>
#> 29254 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/
#> 29255 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/
#> 29256 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/
#> 29257 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/
#> 29258 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/
#> 29259 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/
#> 29260 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/
#> 29261 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/
#> 29262 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/
#> 29263 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/
#> 29274 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/
#> 29275 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/
#> 29276 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/
#> 29277 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/
#> 29278 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/
#> 29279 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/
#> 29280 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/
#> 29281 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/
#> 29282 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/
#> 29283 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/
#> 29284 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/
#> 29285 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/
#> 29286 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/
#> 29287 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/
#> 29288 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/
#> 29289 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/
#> 29290 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/
#> 29291 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/
#> 29341 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/
#> 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 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/
#> 29344 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/
#> 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 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/
#> 29347 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/
#> 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 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)
#> 2096 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)
#> 2097 <NA>
#> 2098 <NA>
#> 2099 <NA>
#> 2100 <NA>
#> 2401 <NA>
#> 2424 <NA>
#> 2436 International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.
#> 2437 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
#> 2450 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)
#> 2451 <NA>
#> 2454 <NA>
#> 2457 World Bank country economists.
#> 2463 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 2472 World Bank country economists.
#> 2474 <NA>
#> 2480 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 2491 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 2540 <NA>
#> 2552 <NA>
#> 2554 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)
#> 2563 World Bank staff estimates based on the International Monetary Fund's Balance of Payments Statistics Yearbook 2008, and World Bank and OECD GDP estimates.
#> 2569 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)
#> 2570 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 2867 Policy Instrument for the Environment Data Base, OECD. Available at: https://www.oecd.org/env/indicators-modelling-outlooks/policy-instrument-database/
#> 2868 <NA>
#> 2943 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 2944 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 2967 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
#> 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
#> 3032 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.
#> 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.
#> 3042 <NA>
#> 3135 <NA>
#> 3138 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 3141 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 4289 <NA>
#> 4292 <NA>
#> 4295 <NA>
#> 4298 <NA>
#> 4301 <NA>
#> 4306 <NA>
#> 4309 <NA>
#> 4312 <NA>
#> 4315 <NA>
#> 4318 <NA>
#> 4323 <NA>
#> 4326 <NA>
#> 4329 <NA>
#> 4332 <NA>
#> 4335 <NA>
#> 4340 <NA>
#> 4343 <NA>
#> 4346 <NA>
#> 4349 <NA>
#> 4352 <NA>
#> 4357 <NA>
#> 4360 <NA>
#> 4363 <NA>
#> 4366 <NA>
#> 4369 <NA>
#> 4374 <NA>
#> 4377 <NA>
#> 4380 <NA>
#> 4383 <NA>
#> 4386 <NA>
#> 4389 <NA>
#> 4392 <NA>
#> 4395 <NA>
#> 4398 <NA>
#> 4403 <NA>
#> 4406 <NA>
#> 4409 <NA>
#> 4412 <NA>
#> 4415 <NA>
#> 4420 <NA>
#> 4424 <NA>
#> 4426 <NA>
#> 4428 <NA>
#> 4430 <NA>
#> 4432 <NA>
#> 4434 <NA>
#> 4436 <NA>
#> 4438 <NA>
#> 4440 <NA>
#> 4442 <NA>
#> 4445 <NA>
#> 4448 <NA>
#> 4451 <NA>
#> 4454 <NA>
#> 4457 <NA>
#> 4460 <NA>
#> 4463 <NA>
#> 4466 <NA>
#> 4469 <NA>
#> 4474 <NA>
#> 4477 <NA>
#> 4480 <NA>
#> 4483 <NA>
#> 4486 <NA>
#> 4491 <NA>
#> 4494 <NA>
#> 4497 <NA>
#> 4500 <NA>
#> 4503 <NA>
#> 4508 <NA>
#> 4513 <NA>
#> 4516 <NA>
#> 4519 <NA>
#> 4522 <NA>
#> 4525 <NA>
#> 4528 <NA>
#> 4531 <NA>
#> 4534 <NA>
#> 4537 <NA>
#> 4542 <NA>
#> 4545 <NA>
#> 4548 <NA>
#> 4551 <NA>
#> 4554 <NA>
#> 4559 <NA>
#> 4564 <NA>
#> 4567 <NA>
#> 4570 <NA>
#> 4573 <NA>
#> 4576 <NA>
#> 4579 <NA>
#> 4582 <NA>
#> 4585 <NA>
#> 4588 <NA>
#> 4593 <NA>
#> 4596 <NA>
#> 4599 <NA>
#> 4602 <NA>
#> 4605 <NA>
#> 4610 <NA>
#> 4615 <NA>
#> 4618 <NA>
#> 4621 <NA>
#> 4624 <NA>
#> 4627 <NA>
#> 4630 <NA>
#> 4633 <NA>
#> 4636 <NA>
#> 4639 <NA>
#> 4644 <NA>
#> 4647 <NA>
#> 4650 <NA>
#> 4653 <NA>
#> 4656 <NA>
#> 4661 <NA>
#> 4666 <NA>
#> 4669 <NA>
#> 4672 <NA>
#> 4675 <NA>
#> 4678 <NA>
#> 4681 <NA>
#> 4684 <NA>
#> 4687 <NA>
#> 4690 <NA>
#> 4695 <NA>
#> 4700 <NA>
#> 4703 <NA>
#> 4706 <NA>
#> 4709 <NA>
#> 4712 <NA>
#> 4715 <NA>
#> 4718 <NA>
#> 4721 <NA>
#> 4724 <NA>
#> 4729 <NA>
#> 4732 <NA>
#> 4735 <NA>
#> 4738 <NA>
#> 4741 <NA>
#> 4746 <NA>
#> 4752 <NA>
#> 4755 <NA>
#> 4758 <NA>
#> 4761 <NA>
#> 4764 <NA>
#> 4769 <NA>
#> 4772 <NA>
#> 4775 <NA>
#> 4778 <NA>
#> 4781 <NA>
#> 4786 <NA>
#> 4789 <NA>
#> 4792 <NA>
#> 4795 <NA>
#> 4798 <NA>
#> 4803 <NA>
#> 4806 <NA>
#> 4809 <NA>
#> 4812 <NA>
#> 4815 <NA>
#> 4820 <NA>
#> 4823 <NA>
#> 4826 <NA>
#> 4829 <NA>
#> 4832 <NA>
#> 4837 <NA>
#> 4840 <NA>
#> 4843 <NA>
#> 4846 <NA>
#> 4849 <NA>
#> 5345 World Bank, Global Development Finance.
#> 5348 World Bank, Global Development Finance.
#> 5349 World Bank, Global Development Finance.
#> 5503 World Bank, Global Development Finance.
#> 7122 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.
#> 7193 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.
#> 7198 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.
#> 7206 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.
#> 7212 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.
#> 7362 World Bank, Global Development Finance.
#> 7759 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
#> 7762 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
#> 7766 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
#> 7790 <NA>
#> 7791 <NA>
#> 7792 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
#> 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
#> 7801 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
#> 7920 <NA>
#> 7924 <NA>
#> 7925 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.
#> 7930 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.
#> 7931 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.
#> 8016 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
#> 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
#> 8100 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)
#> 8118 <NA>
#> 8172 <NA>
#> 8525 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)
#> 8634 International Monetary Fund, International Financial Statistics and data files.
#> 10993 "International Monetary Fund.\r"
#> 11002 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)
#> 11011 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)
#> 11018 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11019 <NA>
#> 11021 <NA>
#> 11026 <NA>
#> 11027 <NA>
#> 11083 International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.
#> 11092 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators, World Bank (WB)
#> 11097 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)
#> 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 <NA>
#> 11102 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)
#> 11103 <NA>
#> 11104 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11105 <NA>
#> 11106 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 11169 <NA>
#> 11170 <NA>
#> 11179 <NA>
#> 11180 <NA>
#> 11184 <NA>
#> 11185 <NA>
#> 11189 <NA>
#> 11190 <NA>
#> 11200 <NA>
#> 11203 <NA>
#> 11205 World Bank country economists.
#> 11208 <NA>
#> 11210 <NA>
#> 11212 <NA>
#> 11213 <NA>
#> 11216 <NA>
#> 11217 <NA>
#> 11218 <NA>
#> 11219 <NA>
#> 11244 <NA>
#> 11245 <NA>
#> 11263 <NA>
#> 11266 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
#> 11269 <NA>
#> 11270 <NA>
#> 11277 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11280 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11285 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11289 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11291 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 11293 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11295 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11297 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11308 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11323 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 11340 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)
#> 11583 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11584 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11585 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11587 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11588 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11589 World Bank - Non banking financial database
#> 11590 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11591 Sigma Reports, Swiss Re
#> 11592 Sigma Reports, Swiss Re
#> 11593 Nonbanking financial database, World Bank
#> 11594 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11595 Nonbanking financial database, World Bank
#> 11596 World Development Indicators (WDI), World Bank
#> 11597 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 11598 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 11599 Bank for International Settlements (BIS)
#> 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 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11605 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11606 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11607 <NA>
#> 11608 <NA>
#> 11609 <NA>
#> 11612 <NA>
#> 11620 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11625 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 11628 Bank for International Settlements (BIS)
#> 11629 Bank for International Settlements (BIS)
#> 11633 World Development Indicators (WDI), World Bank
#> 11634 Consolidated banking statistics, Bank for International Settlements (BIS)
#> 11638 White Clarke Global Leasing Report
#> 11639 Factors Chain International
#> 11640 Luc Laeven and Fabián Valencia, 2012. “Systemic Banking Crises Database: An Update”, IMF Working Paper WP/12/163
#> 12908 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 12922 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 13091 World Information Technology and Services Alliance, Digital Planet: The Global Information Economy, and Global Insight, Inc.
#> 13158 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 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
#> 13440 <NA>
#> 13442 <NA>
#> 13550 International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.
#> 15558 Mo Ibrahim Foundation, electronic files and web site.
#> 15582 SIPRI Military Expenditure Database, Stockholm International Peace Research Institute (SIPRI), uri: https://www.sipri.org/databases
#> 15587 <NA>
#> 15588 <NA>
#> 15589 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15590 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15591 <NA>
#> 15592 <NA>
#> 15593 <NA>
#> 15594 <NA>
#> 15595 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15596 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15597 <NA>
#> 15598 <NA>
#> 15599 <NA>
#> 15600 <NA>
#> 15601 <NA>
#> 15602 <NA>
#> 15603 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15604 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15605 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15606 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15607 <NA>
#> 15608 <NA>
#> 15609 <NA>
#> 15610 <NA>
#> 15611 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15612 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15613 <NA>
#> 15614 <NA>
#> 15615 <NA>
#> 15616 <NA>
#> 15617 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15618 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15619 <NA>
#> 15620 <NA>
#> 15621 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15622 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15623 <NA>
#> 15624 <NA>
#> 15625 <NA>
#> 15626 <NA>
#> 15627 <NA>
#> 15628 <NA>
#> 15629 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15630 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15631 <NA>
#> 15632 <NA>
#> 15633 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15634 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15635 <NA>
#> 15636 <NA>
#> 15637 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15638 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15639 <NA>
#> 15640 <NA>
#> 15641 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15642 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15643 <NA>
#> 15644 <NA>
#> 15653 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)
#> 15655 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.
#> 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/, 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.
#> 15666 World Bank national accounts data, and OECD National Accounts data files.
#> 15681 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)
#> 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 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)
#> 15693 World Bank national accounts data, and OECD National Accounts data files.
#> 15701 <NA>
#> 15702 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)
#> 15712 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)
#> 15724 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)
#> 15726 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15727 <NA>
#> 15728 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15729 <NA>
#> 15730 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15731 <NA>
#> 15732 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15733 <NA>
#> 15758 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)
#> 15763 World Bank national accounts data, and OECD National Accounts data files.
#> 15766 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15773 <NA>
#> 15774 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)
#> 15775 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15776 <NA>
#> 15777 <NA>
#> 15782 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15786 <NA>
#> 15795 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 15802 <NA>
#> 15803 <NA>
#> 15804 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)
#> 15814 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 World Bank country economists.
#> 15821 <NA>
#> 15822 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)
#> 15825 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)
#> 15889 <NA>
#> 15893 <NA>
#> 15899 <NA>
#> 15907 World Bank country economists.
#> 15917 World Bank country economists.
#> 15918 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)
#> 15938 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)
#> 15952 <NA>
#> 15953 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)
#> 15971 World Bank national accounts data, and OECD National Accounts data files.
#> 15972 World Bank national accounts data, and OECD National Accounts data files.
#> 15973 World Bank national accounts data, and OECD National Accounts data files.
#> 15990 <NA>
#> 15991 World Bank national accounts data, and OECD National Accounts data files.
#> 15997 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)
#> 16008 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.
#> 16010 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.
#> 16012 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.
#> 16014 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.
#> 16016 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.
#> 16018 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.
#> 16020 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.
#> 16022 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.
#> 16026 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.
#> 16028 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.
#> 16042 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.
#> 16044 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.
#> 16050 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.
#> 16052 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.
#> 16070 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.
#> 16072 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.
#> 16112 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.
#> 16114 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.
#> 16116 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.
#> 16118 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.
#> 16120 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.
#> 16122 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.
#> 16124 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.
#> 16126 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.
#> 16132 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.
#> 16134 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.
#> 16140 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.
#> 16143 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.
#> 16146 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.
#> 16148 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.
#> 16180 Organisation for Economic Co-operation and Development, Producer and Consumer Support Estimates database. Available online at www.oecd.org/tad/support/psecse.
#> 16184 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.
#> 16185 <NA>
#> 16186 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)
#> 16187 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)
#> 16188 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)
#> 16189 <NA>
#> 16190 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)
#> 16191 World Bank national accounts data, and OECD National Accounts data files.
#> 16192 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)
#> 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 <NA>
#> 16198 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)
#> 16199 <NA>
#> 16200 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.
#> 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 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)
#> 16203 World Bank country economists.
#> 16204 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)
#> 16205 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)
#> 16206 World Bank country economists.
#> 16207 <NA>
#> 16208 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16209 <NA>
#> 16210 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)
#> 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 <NA>
#> 16213 <NA>
#> 16214 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)
#> 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;\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)
#> 16216 <NA>
#> 16217 <NA>
#> 16218 World Bank national accounts data, and OECD National Accounts data files.
#> 16219 <NA>
#> 16220 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.
#> 16221 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16222 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 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)
#> 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 <NA>
#> 16229 "World Bank, International Comparison Programme database.\r"
#> 16230 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.
#> 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.
#> 16238 Country official statistics, National Statistical Organizations and/or Central Banks;\nNational Accounts data files, Organisation for Economic Co-operation and Development (OECD);\nStaff estimates, World Bank (WB)
#> 16239 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 World Bank country economists.
#> 16242 World Bank national accounts data, and OECD National Accounts data files.
#> 16244 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)
#> 16245 World Bank national accounts data, and OECD National Accounts data files.
#> 16247 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)
#> 16249 <NA>
#> 16250 <NA>
#> 16251 <NA>
#> 16252 <NA>
#> 16253 <NA>
#> 16254 <NA>
#> 16255 <NA>
#> 16256 <NA>
#> 16268 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)
#> 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)
#> 16279 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)
#> 16289 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)
#> 16327 The World Bank
#> 16328 <NA>
#> 16329 <NA>
#> 16330 <NA>
#> 16331 <NA>
#> 16407 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators
#> 16408 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
#> 16409 World Bank, International Comparison Program database.
#> 16410 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators, type: International database
#> 16412 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
#> 16471 <NA>
#> 16479 <NA>
#> 16504 <NA>
#> 16526 <NA>
#> 16535 <NA>
#> 16544 <NA>
#> 16549 <NA>
#> 16551 <NA>
#> 16552 <NA>
#> 16565 <NA>
#> 16581 <NA>
#> 16600 <NA>
#> 16611 <NA>
#> 16612 <NA>
#> 16614 <NA>
#> 16648 <NA>
#> 16665 <NA>
#> 16681 <NA>
#> 16762 <NA>
#> 16786 <NA>
#> 16791 <NA>
#> 16841 <NA>
#> 16858 <NA>
#> 16880 <NA>
#> 16884 <NA>
#> 16936 <NA>
#> 16952 <NA>
#> 16975 <NA>
#> 16979 <NA>
#> 17047 <NA>
#> 17107 <NA>
#> 17128 <NA>
#> 17129 <NA>
#> 17130 <NA>
#> 17131 <NA>
#> 17132 <NA>
#> 17187 <NA>
#> 17204 <NA>
#> 17236 <NA>
#> 17244 <NA>
#> 17264 <NA>
#> 17268 <NA>
#> 17291 <NA>
#> 17306 <NA>
#> 17311 <NA>
#> 21507 Ministry of Finance, SIKD (Information System for Sub-National Budget) and LKPP (Central Government Financial Report)
#> 24330 <NA>
#> 24703 World Bank, Global Education Policy Dashboard
#> 24767 World Bank, Global Education Policy Dashboard
#> 24994 <NA>
#> 24999 <NA>
#> 25000 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25003 <NA>
#> 25004 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25008 <NA>
#> 25009 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 25012 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
#> 25032 <NA>
#> 25912 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
#> 26056 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: https://apps.who.int/nha/database
#> 26065 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: http://apps.who.int/nha/database
#> 26069 <NA>
#> 26070 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 7, 2023.
#> 26082 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26085 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26091 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 26265 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)
#> 26266 International Labour Organization, Key Indicators of the Labour Market database.
#> 26267 Derived using data from International Labour Organization, ILOSTAT database. The data retrieved in March 1, 2020.
#> 27003 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27005 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27010 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 27045 <NA>
#> 27046 World Trade Organization (WTO);\nWorld Bank GDP estimates, World Bank (WB);\nWorld Development Indicators, World Bank (WB)
#> 27047 <NA>
#> 29254 UNESCO Institute for Statistics
#> 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
#> 29274 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
#> 29341 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
#> topic_id topic_value
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#> 15558 NA <NA>
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#> 15938 3 Economy & Growth
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#> 25000 4 Education
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# }