Search the indicator catalog returned by wb_indicator() for a regular expression
pattern across one or more text fields. By default the match is case insensitive.
Usage
wb_search(
pattern,
fields = c("id", "name", "source_note"),
catalog = NULL,
lang = "en",
ignore.case = TRUE,
...
)Arguments
- pattern
(
character(1))
Regular expression to match.- fields
(
character())
Columns of the indicator catalog to search. Defaultc("id", "name", "source_note").- catalog
(
NULL|data.frame())
Optional pre-fetched indicator catalog. IfNULL(default),wb_indicator()is called.- lang
(
character(1))
Language to query. Only used whencatalogisNULL. Default"en".- ignore.case
(
logical(1))
Whether the match should be case insensitive. DefaultTRUE.- ...
(
any)
Additional arguments passed togrepl().
Value
A data.frame() with the matching rows of the indicator catalog.
See also
Other indicators data:
wb_bulk(),
wb_country(),
wb_data(),
wb_income_level(),
wb_indicator(),
wb_language(),
wb_lending_type(),
wb_region(),
wb_source(),
wb_topic()
Examples
# \donttest{
# search for indicators related to GDP
wb_search("GDP")
#> id
#> 1 6.0.GDP_current
#> 2 6.0.GDP_growth
#> 3 6.0.GDP_usd
#> 4 6.0.GDPpc_constant
#> 5 BG.GSR.NFSV.GD.ZS
#> 6 BG.KAC.FNEI.GD.PP.ZS
#> 7 BG.KAC.FNEI.GD.ZS
#> 8 BG.KLT.DINV.GD.PP.ZS
#> 9 BG.KLT.DINV.GD.ZS
#> 10 BI.WAG.TOTL.GD.ZS
#> 11 BM.GSR.MRCH.ZS
#> 12 BM.KLT.DINV.GD.ZS
#> 13 BM.KLT.DINV.WD.GD.ZS
#> 14 BN.CAB.XOKA.GD.ZS
#> 15 BN.CAB.XOKA.GDP.ZS
#> 16 BN.CAB.XOTR.ZS
#> 17 BN.CUR.GDPM.ZS
#> 18 BN.GSR.FCTY.CD.ZS
#> 19 BN.KLT.DINV.CD.ZS
#> 20 BN.KLT.DINV.DRS.GDP.ZS
#> 21 BN.KLT.PRVT.GD.ZS
#> 22 BN.TRF.CURR.CD.ZS
#> 23 BX.GSR.MRCH.ZS
#> 24 BX.KLT.DINV.DT.GD.ZS
#> 25 BX.KLT.DINV.WD.GD.ZS
#> 26 BX.TRF.MGR.DT.GD.ZS
#> 27 BX.TRF.PWKR.DT.GD.ZS
#> 28 BX.TRF.PWKR.GD.ZS
#> 29 CC.ENTX.ENE.ZS
#> 30 CC.ENTX.ENV.ZS
#> 31 CC.GHG.MEMG.EI
#> 32 CC.GHG.MEMG.GC
#> 33 CC.INCP.ALRS
#> 34 CC.INCP.KRGC
#> 35 CC.INCP.SPMC
#> 36 CC.RISK.AST.ZS
#> 37 CC.RISK.WELL.ZS
#> 38 CC.SP.EXP.ZS
#> 39 CM.FIN.INTL.GD.ZS
#> 40 CM.MKT.LCAP.GD.ZS
#> 41 CM.MKT.TRAD.GD.ZS
#> 42 DP.DOD.DECD.CR.BC.Z1
#> 43 DP.DOD.DECD.CR.CG.Z1
#> 44 DP.DOD.DECD.CR.FC.Z1
#> 45 DP.DOD.DECD.CR.GG.Z1
#> 46 DP.DOD.DECD.CR.NF.Z1
#> 47 DP.DOD.DECF.CR.BC.Z1
#> 48 DP.DOD.DECF.CR.CG.Z1
#> 49 DP.DOD.DECF.CR.FC.Z1
#> 50 DP.DOD.DECF.CR.GG.Z1
#> 51 DP.DOD.DECF.CR.NF.Z1
#> 52 DP.DOD.DECN.CR.BC.Z1
#> 53 DP.DOD.DECN.CR.CG.Z1
#> 54 DP.DOD.DECN.CR.FC.Z1
#> 55 DP.DOD.DECN.CR.GG.Z1
#> 56 DP.DOD.DECN.CR.NF.Z1
#> 57 DP.DOD.DECT.CR.BC.Z1
#> 58 DP.DOD.DECT.CR.CG.Z1
#> 59 DP.DOD.DECT.CR.FC.Z1
#> 60 DP.DOD.DECT.CR.GG.Z1
#> 61 DP.DOD.DECT.CR.NF.Z1
#> 62 DP.DOD.DECX.CR.BC.Z1
#> 63 DP.DOD.DECX.CR.CG.Z1
#> 64 DP.DOD.DECX.CR.FC.Z1
#> 65 DP.DOD.DECX.CR.GG.Z1
#> 66 DP.DOD.DECX.CR.NF.Z1
#> 67 DP.DOD.DLCD.CR.BC.Z1
#> 68 DP.DOD.DLCD.CR.CG.Z1
#> 69 DP.DOD.DLCD.CR.FC.Z1
#> 70 DP.DOD.DLCD.CR.GG.Z1
#> 71 DP.DOD.DLCD.CR.L1.BC.Z1
#> 72 DP.DOD.DLCD.CR.L1.CG.Z1
#> 73 DP.DOD.DLCD.CR.L1.FC.Z1
#> 74 DP.DOD.DLCD.CR.L1.GG.Z1
#> 75 DP.DOD.DLCD.CR.L1.NF.Z1
#> 76 DP.DOD.DLCD.CR.M1.BC.Z1
#> 77 DP.DOD.DLCD.CR.M1.CG.Z1
#> 78 DP.DOD.DLCD.CR.M1.FC.Z1
#> 79 DP.DOD.DLCD.CR.M1.GG.Z1
#> 80 DP.DOD.DLCD.CR.M1.NF.Z1
#> 81 DP.DOD.DLCD.CR.NF.Z1
#> 82 DP.DOD.DLD1.CR.CG.Z1
#> 83 DP.DOD.DLD1.CR.GG.Z1
#> 84 DP.DOD.DLD2.CR.CG.Z1
#> 85 DP.DOD.DLD2.CR.GG.Z1
#> 86 DP.DOD.DLD2A.CR.CG.Z1
#> 87 DP.DOD.DLD2A.CR.GG.Z1
#> 88 DP.DOD.DLD3.CR.CG.Z1
#> 89 DP.DOD.DLD3.CR.GG.Z1
#> 90 DP.DOD.DLD4.CR.CG.Z1
#> 91 DP.DOD.DLD4.CR.GG.Z1
#> 92 DP.DOD.DLDS.CR.BC.Z1
#> 93 DP.DOD.DLDS.CR.CG.Z1
#> 94 DP.DOD.DLDS.CR.FC.Z1
#> 95 DP.DOD.DLDS.CR.GG.Z1
#> 96 DP.DOD.DLDS.CR.L1.BC.Z1
#> 97 DP.DOD.DLDS.CR.L1.CG.Z1
#> 98 DP.DOD.DLDS.CR.L1.FC.Z1
#> 99 DP.DOD.DLDS.CR.L1.GG.Z1
#> 100 DP.DOD.DLDS.CR.L1.NF.Z1
#> 101 DP.DOD.DLDS.CR.M1.BC.Z1
#> 102 DP.DOD.DLDS.CR.M1.CG.Z1
#> 103 DP.DOD.DLDS.CR.M1.FC.Z1
#> 104 DP.DOD.DLDS.CR.M1.GG.Z1
#> 105 DP.DOD.DLDS.CR.M1.NF.Z1
#> 106 DP.DOD.DLDS.CR.MV.BC.Z1
#> 107 DP.DOD.DLDS.CR.MV.CG.Z1
#> 108 DP.DOD.DLDS.CR.MV.FC.Z1
#> 109 DP.DOD.DLDS.CR.MV.GG.Z1
#> 110 DP.DOD.DLDS.CR.MV.NF.Z1
#> 111 DP.DOD.DLDS.CR.NF.Z1
#> 112 DP.DOD.DLIN.CR.BC.Z1
#> 113 DP.DOD.DLIN.CR.CG.Z1
#> 114 DP.DOD.DLIN.CR.FC.Z1
#> 115 DP.DOD.DLIN.CR.GG.Z1
#> 116 DP.DOD.DLIN.CR.L1.BC.Z1
#> 117 DP.DOD.DLIN.CR.L1.CG.Z1
#> 118 DP.DOD.DLIN.CR.L1.FC.Z1
#> 119 DP.DOD.DLIN.CR.L1.GG.Z1
#> 120 DP.DOD.DLIN.CR.L1.NF.Z1
#> 121 DP.DOD.DLIN.CR.M1.BC.Z1
#> 122 DP.DOD.DLIN.CR.M1.CG.Z1
#> 123 DP.DOD.DLIN.CR.M1.FC.Z1
#> 124 DP.DOD.DLIN.CR.M1.GG.Z1
#> 125 DP.DOD.DLIN.CR.M1.NF.Z1
#> 126 DP.DOD.DLIN.CR.NF.Z1
#> 127 DP.DOD.DLLO.CR.BC.Z1
#> 128 DP.DOD.DLLO.CR.CG.Z1
#> 129 DP.DOD.DLLO.CR.FC.Z1
#> 130 DP.DOD.DLLO.CR.GG.Z1
#> 131 DP.DOD.DLLO.CR.L1.BC.Z1
#> 132 DP.DOD.DLLO.CR.L1.CG.Z1
#> 133 DP.DOD.DLLO.CR.L1.FC.Z1
#> 134 DP.DOD.DLLO.CR.L1.GG.Z1
#> 135 DP.DOD.DLLO.CR.L1.NF.Z1
#> 136 DP.DOD.DLLO.CR.M1.BC.Z1
#> 137 DP.DOD.DLLO.CR.M1.CG.Z1
#> 138 DP.DOD.DLLO.CR.M1.FC.Z1
#> 139 DP.DOD.DLLO.CR.M1.GG.Z1
#> 140 DP.DOD.DLLO.CR.M1.NF.Z1
#> 141 DP.DOD.DLLO.CR.NF.Z1
#> 142 DP.DOD.DLOA.CR.BC.Z1
#> 143 DP.DOD.DLOA.CR.CG.Z1
#> 144 DP.DOD.DLOA.CR.FC.Z1
#> 145 DP.DOD.DLOA.CR.GG.Z1
#> 146 DP.DOD.DLOA.CR.L1.BC.Z1
#> 147 DP.DOD.DLOA.CR.L1.CG.Z1
#> 148 DP.DOD.DLOA.CR.L1.FC.Z1
#> 149 DP.DOD.DLOA.CR.L1.GG.Z1
#> 150 DP.DOD.DLOA.CR.L1.NF.Z1
#> 151 DP.DOD.DLOA.CR.M1.BC.Z1
#> 152 DP.DOD.DLOA.CR.M1.CG.Z1
#> 153 DP.DOD.DLOA.CR.M1.FC.Z1
#> 154 DP.DOD.DLOA.CR.M1.GG.Z1
#> 155 DP.DOD.DLOA.CR.M1.NF.Z1
#> 156 DP.DOD.DLOA.CR.NF.Z1
#> 157 DP.DOD.DLSD.CR.BC.Z1
#> 158 DP.DOD.DLSD.CR.CG.Z1
#> 159 DP.DOD.DLSD.CR.FC.Z1
#> 160 DP.DOD.DLSD.CR.GG.Z1
#> 161 DP.DOD.DLSD.CR.M1.BC.Z1
#> 162 DP.DOD.DLSD.CR.M1.CG.Z1
#> 163 DP.DOD.DLSD.CR.M1.FC.Z1
#> 164 DP.DOD.DLSD.CR.M1.GG.Z1
#> 165 DP.DOD.DLSD.CR.M1.NF.Z1
#> 166 DP.DOD.DLSD.CR.NF.Z1
#> 167 DP.DOD.DLTC.CR.BC.Z1
#> 168 DP.DOD.DLTC.CR.CG.Z1
#> 169 DP.DOD.DLTC.CR.FC.Z1
#> 170 DP.DOD.DLTC.CR.GG.Z1
#> 171 DP.DOD.DLTC.CR.L1.BC.Z1
#> 172 DP.DOD.DLTC.CR.L1.CG.Z1
#> 173 DP.DOD.DLTC.CR.L1.FC.Z1
#> 174 DP.DOD.DLTC.CR.L1.GG.Z1
#> 175 DP.DOD.DLTC.CR.L1.NF.Z1
#> 176 DP.DOD.DLTC.CR.M1.BC.Z1
#> 177 DP.DOD.DLTC.CR.M1.CG.Z1
#> 178 DP.DOD.DLTC.CR.M1.FC.Z1
#> 179 DP.DOD.DLTC.CR.M1.GG.Z1
#> 180 DP.DOD.DLTC.CR.M1.NF.Z1
#> 181 DP.DOD.DLTC.CR.NF.Z1
#> 182 DP.DOD.DSCD.CR.BC.Z1
#> 183 DP.DOD.DSCD.CR.CG.Z1
#> 184 DP.DOD.DSCD.CR.FC.Z1
#> 185 DP.DOD.DSCD.CR.GG.Z1
#> 186 DP.DOD.DSCD.CR.NF.Z1
#> 187 DP.DOD.DSDS.CR.BC.Z1
#> 188 DP.DOD.DSDS.CR.CG.Z1
#> 189 DP.DOD.DSDS.CR.FC.Z1
#> 190 DP.DOD.DSDS.CR.GG.Z1
#> 191 DP.DOD.DSDS.CR.NF.Z1
#> 192 DP.DOD.DSIN.CR.BC.Z1
#> 193 DP.DOD.DSIN.CR.CG.Z1
#> 194 DP.DOD.DSIN.CR.FC.Z1
#> 195 DP.DOD.DSIN.CR.GG.Z1
#> 196 DP.DOD.DSIN.CR.NF.Z1
#> 197 DP.DOD.DSLO.CR.BC.Z1
#> 198 DP.DOD.DSLO.CR.CG.Z1
#> 199 DP.DOD.DSLO.CR.FC.Z1
#> 200 DP.DOD.DSLO.CR.GG.Z1
#> 201 DP.DOD.DSLO.CR.NF.Z1
#> 202 DP.DOD.DSOA.CR.BC.Z1
#> 203 DP.DOD.DSOA.CR.CG.Z1
#> 204 DP.DOD.DSOA.CR.FC.Z1
#> 205 DP.DOD.DSOA.CR.GG.Z1
#> 206 DP.DOD.DSOA.CR.NF.Z1
#> 207 DP.DOD.DSTC.CR.BC.Z1
#> 208 DP.DOD.DSTC.CR.CG.Z1
#> 209 DP.DOD.DSTC.CR.FC.Z1
#> 210 DP.DOD.DSTC.CR.GG.Z1
#> 211 DP.DOD.DSTC.CR.NF.Z1
#> 212 DT.DOD.ALLC.ZSG
#> 213 DT.DOD.ALLN.ZSG
#> 214 DT.DOD.ALLN.ZSX
#> 215 DT.DOD.DECT.CD.ZSG
#> 216 DT.ODA.ALLD.GD.ZS
#> 217 DT.ODA.DACD.ZSG
#> 218 DT.ODA.MULT.ZSG
#> 219 DT.ODA.NDAC.ZSG
#> 220 DT.ODA.ODAT.GD.ZS
#> 221 DT.TDS.DECT.GD.ZS
#> 222 EF.EFM.OVRL.XD
#> 223 EF.EFM.UNIV.XD
#> 224 EG.EGY.PRIM.PP.KD
#> 225 EG.GDP.PUSE.KO.87
#> 226 EG.GDP.PUSE.KO.KD
#> 227 EG.GDP.PUSE.KO.PP
#> 228 EG.GDP.PUSE.KO.PP.KD
#> 229 EG.USE.COMM.GD.PP.KD
#> 230 EN.ATM.CO2E.GDP
#> 231 EN.ATM.CO2E.KD.87.GD
#> 232 EN.ATM.CO2E.KD.GD
#> 233 EN.ATM.CO2E.PP.GD
#> 234 EN.ATM.CO2E.PP.GD.KD
#> 235 EN.GHG.CO2.RT.GDP.KD
#> 236 EN.GHG.CO2.RT.GDP.PP.KD
#> 237 ER.GDP.FWTL.M3.KD
#> 238 EU.EGY.USES.GDP
#> 239 FB.DPT.INSU.PC.ZS
#> 240 FD.AST.PRVT.GD.ZS
#> 241 FI.RES.TOTL.CD.ZS
#> 242 FM.AST.GOVT.CN.ZS
#> 243 FM.AST.PRVT.GD.ZS
#> 244 FM.LBL.BMNY.GD.ZS
#> 245 FM.LBL.MQMY.GD.ZS
#> 246 FM.LBL.MQMY.GDP.ZS
#> 247 FM.LBL.MQMY.XD
#> 248 FM.LBL.QMNY.GDP.ZS
#> 249 FM.LBL.SEIG.GDP.ZS
#> 250 FR.INR.DPST.DP
#> 251 FR.INR.RINR
#> 252 FS.AST.CGOV.GD.ZS
#> 253 FS.AST.DOMO.GD.ZS
#> 254 FS.AST.DOMS.GD.ZS
#> 255 FS.AST.DTOT.ZS
#> 256 FS.AST.PRVT.GD.ZS
#> 257 FS.AST.PRVT.GDP.ZS
#> 258 FS.LBL.LIQU.GD.ZS
#> 259 FS.LBL.LIQU.GDP.ZS
#> 260 FS.LBL.QLIQ.GD.ZS
#> 261 GB.BAL.OVRL.GD.ZS
#> 262 GB.BAL.OVRL.GDP.ZS
#> 263 GB.DOD.TOTL.GD.ZS
#> 264 GB.DOD.TOTL.GDP.ZS
#> 265 GB.FIN.ABRD.GD.ZS
#> 266 GB.FIN.ABRD.GDP.ZS
#> 267 GB.FIN.DOMS.GD.ZS
#> 268 GB.FIN.DOMS.GDP.ZS
#> 269 GB.REV.CTOT.GD.ZS
#> 270 GB.REV.TOTL.GDP.ZS
#> 271 GB.REV.XAGT.CN.ZS
#> 272 GB.RVC.TOTL.GD.ZS
#> 273 GB.SOE.DECT.ZS
#> 274 GB.SOE.ECON.GD.ZS
#> 275 GB.SOE.ECON.GDP.ZS
#> 276 GB.SOE.NFLW.GD.ZS
#> 277 GB.SOE.NFLW.GDP.ZS
#> 278 GB.SOE.OVRL.GD.ZS
#> 279 GB.SOE.OVRL.GDP.ZS
#> 280 GB.TAX.TOTL.GD.ZS
#> 281 GB.TAX.TOTL.GDP.ZS
#> 282 GB.XPD.DEFN.GDP.ZS
#> 283 GB.XPD.RSDV.GD.ZS
#> 284 GB.XPD.TOTL.GD.ZS
#> 285 GB.XPD.TOTL.GDP.ZS
#> 286 GC.AST.TOTL.GD.ZS
#> 287 GC.BAL.CASH.GD.ZS
#> 288 GC.DOD.TOTL.GD.ZS
#> 289 GC.FIN.DOMS.GD.ZS
#> 290 GC.FIN.FRGN.GD.ZS
#> 291 GC.LBL.TOTL.GD.ZS
#> 292 GC.NFN.TOTL.GD.ZS
#> 293 GC.NLD.TOTL.GD.ZS
#> 294 GC.REV.XGRT.GD.ZS
#> 295 GC.TAX.TOTL.GD.ZS
#> 296 GC.XPN.TOTL.GD.ZS
#> 297 GFDD.DI.01
#> 298 GFDD.DI.02
#> 299 GFDD.DI.03
#> 300 GFDD.DI.05
#> 301 GFDD.DI.06
#> 302 GFDD.DI.07
#> 303 GFDD.DI.08
#> 304 GFDD.DI.09
#> 305 GFDD.DI.10
#> 306 GFDD.DI.11
#> 307 GFDD.DI.12
#> 308 GFDD.DI.13
#> 309 GFDD.DI.14
#> 310 GFDD.DM.01
#> 311 GFDD.DM.02
#> 312 GFDD.DM.03
#> 313 GFDD.DM.04
#> 314 GFDD.DM.05
#> 315 GFDD.DM.06
#> 316 GFDD.DM.07
#> 317 GFDD.DM.08
#> 318 GFDD.DM.09
#> 319 GFDD.DM.10
#> 320 GFDD.DM.11
#> 321 GFDD.DM.12
#> 322 GFDD.DM.13
#> 323 GFDD.DM.16
#> 324 GFDD.EI.08
#> 325 GFDD.OI.02
#> 326 GFDD.OI.08
#> 327 GFDD.OI.09
#> 328 GFDD.OI.13
#> 329 GFDD.OI.14
#> 330 GFDD.OI.17
#> 331 GFDD.OI.18
#> 332 GFDD.OI.19
#> 333 IC.FRM.PROD.GROW.PEFT3
#> 334 IC.FRM.SLS.GROW.PEFT1
#> 335 IE.ICT.TOTL.GD.ZS
#> 336 IN.EC.GSDP.PERCAP.NOM.INR
#> 337 IN.EC.GSDP.PERCAP.NOM.USD
#> 338 IN.EC.GSDP.PERCAP.REAL.INR
#> 339 IN.EC.GSDP.PERCAP.REAL.INR.GRWTHRAT
#> 340 IN.EC.GSDP.PERCAP.REAL.USD
#> 341 IN.EC.GSDP.PERCAP.REAL.USD.GRWTHRAT
#> 342 IS.RRS.GOOD.KM.PP.ZS
#> 343 IS.RRS.PASG.K2.PP.ZS
#> 344 IT.TEL.REVN.GD.ZS
#> 345 MO.INDEX.ECON.XQ
#> 346 MS.MIL.XPND.GD.ZS
#> 347 NA.GDP.ACC.FB.SNA08.CR
#> 348 NA.GDP.ACC.FB.SNA08.KR
#> 349 NA.GDP.AGR.CR
#> 350 NA.GDP.AGR.KR
#> 351 NA.GDP.AGR.SNA08.CR
#> 352 NA.GDP.AGR.SNA08.KR
#> 353 NA.GDP.BUSS.SNA08.CR
#> 354 NA.GDP.BUSS.SNA08.KR
#> 355 NA.GDP.CNST.CR
#> 356 NA.GDP.CNST.KR
#> 357 NA.GDP.CNST.SNA08.CR
#> 358 NA.GDP.CNST.SNA08.KR
#> 359 NA.GDP.EDUS.SNA08.CR
#> 360 NA.GDP.EDUS.SNA08.KR
#> 361 NA.GDP.ELEC.GAS.SNA08.CR
#> 362 NA.GDP.ELEC.GAS.SNA08.KR
#> 363 NA.GDP.EXC.OG.CR
#> 364 NA.GDP.EXC.OG.KR
#> 365 NA.GDP.FINS.CR
#> 366 NA.GDP.FINS.KR
#> 367 NA.GDP.FINS.SNA08.CR
#> 368 NA.GDP.FINS.SNA08.KR
#> 369 NA.GDP.HLTH.SOCW.SNA08.CR
#> 370 NA.GDP.HLTH.SOCW.SNA08.KR
#> 371 NA.GDP.INC.OG.CR
#> 372 NA.GDP.INC.OG.KR
#> 373 NA.GDP.INC.OG.SNA08.CR
#> 374 NA.GDP.INC.OG.SNA08.KR
#> 375 NA.GDP.INF.COMM.SNA08.CR
#> 376 NA.GDP.INF.COMM.SNA08.KR
#> 377 NA.GDP.MINQ.CR
#> 378 NA.GDP.MINQ.KR
#> 379 NA.GDP.MINQ.SNA08.CR
#> 380 NA.GDP.MINQ.SNA08.KR
#> 381 NA.GDP.MNF.CR
#> 382 NA.GDP.MNF.KR
#> 383 NA.GDP.MNF.SNA08.CR
#> 384 NA.GDP.MNF.SNA08.KR
#> 385 NA.GDP.PADM.DEF.SNA08.CR
#> 386 NA.GDP.PADM.DEF.SNA08.KR
#> 387 NA.GDP.REST.SNA08.CR
#> 388 NA.GDP.REST.SNA08.KR
#> 389 NA.GDP.SRV.OTHR.CR
#> 390 NA.GDP.SRV.OTHR.KR
#> 391 NA.GDP.SRV.OTHR.SNA08.CR
#> 392 NA.GDP.SRV.OTHR.SNA08.KR
#> 393 NA.GDP.TRAN.COMM.CR
#> 394 NA.GDP.TRAN.COMM.KR
#> 395 NA.GDP.TRAN.STOR.SNA08.CR
#> 396 NA.GDP.TRAN.STOR.SNA08.KR
#> 397 NA.GDP.TRD.HTL.CR
#> 398 NA.GDP.TRD.HTL.KR
#> 399 NA.GDP.TRD.SNA08.CR
#> 400 NA.GDP.TRD.SNA08.KR
#> 401 NA.GDP.UTL.CR
#> 402 NA.GDP.UTL.KR
#> 403 NA.GDP.WTR.WST.SNA08.CR
#> 404 NA.GDP.WTR.WST.SNA08.KR
#> 405 NE.CON.GOVT.ZS
#> 406 NE.CON.PCAP.PP.CD
#> 407 NE.CON.PCAP.PP.KD
#> 408 NE.CON.PETC.ZS
#> 409 NE.CON.PRVT.PP.CD
#> 410 NE.CON.PRVT.PP.KD
#> 411 NE.CON.PRVT.ZS
#> 412 NE.CON.TETC.ZS
#> 413 NE.CON.TOTL.ZG
#> 414 NE.CON.TOTL.ZS
#> 415 NE.DAB.TOTL.ZS
#> 416 NE.EXP.GNFS.ZS
#> 417 NE.GDI.CON.GOVT.CR
#> 418 NE.GDI.CON.GOVT.SNA08.CR
#> 419 NE.GDI.CON.NPI.CR
#> 420 NE.GDI.CON.NPI.SNA08.CR
#> 421 NE.GDI.CON.PRVT.CR
#> 422 NE.GDI.CON.PRVT.SNA08.CR
#> 423 NE.GDI.EXPT.CR
#> 424 NE.GDI.EXPT.SNA08.CR
#> 425 NE.GDI.FPRV.ZS
#> 426 NE.GDI.FPUB.ZS
#> 427 NE.GDI.FTOT.CR
#> 428 NE.GDI.FTOT.SNA08.CR
#> 429 NE.GDI.FTOT.ZS
#> 430 NE.GDI.IMPT.CR
#> 431 NE.GDI.IMPT.SNA08.CR
#> 432 NE.GDI.INEX.SNA08.CR
#> 433 NE.GDI.STKB.CR
#> 434 NE.GDI.STKB.SNA08.CR
#> 435 NE.GDI.TOTL.CR
#> 436 NE.GDI.TOTL.SNA08.CR
#> 437 NE.GDI.TOTL.ZG
#> 438 NE.GDI.TOTL.ZS
#> 439 NE.IMP.GNFS.ZS
#> 440 NE.MRCH.GDP.ZS
#> 441 NE.RSB.GNFS.ZG
#> 442 NE.RSB.GNFS.ZS
#> 443 NE.TRD.GNFS.ZS
#> 444 NP.AGR.TOTL.ZG
#> 445 NP.IND.TOTL.ZG
#> 446 NP.SRV.TOTL.ZG
#> 447 NV.AGR.PCAP.KD.ZG
#> 448 NV.AGR.TOTL.ZG
#> 449 NV.AGR.TOTL.ZS
#> 450 NV.IND.MANF.ZS
#> 451 NV.IND.TOTL.ZG
#> 452 NV.IND.TOTL.ZS
#> 453 NV.SRV.DISC.CD
#> 454 NV.SRV.DISC.CN
#> 455 NV.SRV.DISC.KN
#> 456 NV.SRV.TETC.ZG
#> 457 NV.SRV.TETC.ZS
#> 458 NV.SRV.TOTL.ZS
#> 459 NW.HCA.FEMA.PC
#> 460 NW.HCA.FEMA.TO
#> 461 NW.HCA.MALE.PC
#> 462 NW.HCA.MALE.TO
#> 463 NW.HCA.PC
#> 464 NW.HCA.TO
#> 465 NW.NCA.AGRI.PC
#> 466 NW.NCA.AGRI.TO
#> 467 NW.NCA.FISH.PC
#> 468 NW.NCA.FISH.TO
#> 469 NW.NCA.FTIM.PC
#> 470 NW.NCA.FTIM.TO
#> 471 NW.NCA.MANG.PC
#> 472 NW.NCA.MANG.TO
#> 473 NW.NCA.MINR.PC
#> 474 NW.NCA.MINR.TO
#> 475 NW.NCA.SACO.PC
#> 476 NW.NCA.SACO.TO
#> 477 NW.NCA.SAGA.PC
#> 478 NW.NCA.SAGA.TO
#> 479 NW.NCA.SAOI.PC
#> 480 NW.NCA.SAOI.TO
#> 481 NW.NCA.SSOI.PC
#> 482 NW.NCA.SSOI.TO
#> 483 NW.NFA.PC
#> 484 NW.NFA.TO
#> 485 NW.PCA.PC
#> 486 NW.PCA.TO
#> 487 NW.TOW.PC
#> 488 NW.TOW.TO
#> 489 NY.AGR.SUBS.GD.ZS
#> 490 NY.GDP.COAL.RT.ZS
#> 491 NY.GDP.DEFL.87.ZG
#> 492 NY.GDP.DEFL.KD.ZG
#> 493 NY.GDP.DEFL.KD.ZG.AD
#> 494 NY.GDP.DEFL.ZS
#> 495 NY.GDP.DEFL.ZS.87
#> 496 NY.GDP.DEFL.ZS.AD
#> 497 NY.GDP.DISC.CD
#> 498 NY.GDP.DISC.CN
#> 499 NY.GDP.DISC.KN
#> 500 NY.GDP.FCST.CD
#> 501 NY.GDP.FCST.CN
#> 502 NY.GDP.FCST.KD
#> 503 NY.GDP.FCST.KD.87
#> 504 NY.GDP.FCST.KN
#> 505 NY.GDP.FCST.KN.87
#> 506 NY.GDP.FRST.RT.ZS
#> 507 NY.GDP.MINR.RT.ZS
#> 508 NY.GDP.MKTP.CD
#> 509 NY.GDP.MKTP.CD.XD
#> 510 NY.GDP.MKTP.CN
#> 511 NY.GDP.MKTP.CN.AD
#> 512 NY.GDP.MKTP.CN.XD
#> 513 NY.GDP.MKTP.IN
#> 514 NY.GDP.MKTP.KD
#> 515 NY.GDP.MKTP.KD.87
#> 516 NY.GDP.MKTP.KD.ZG
#> 517 NY.GDP.MKTP.KN
#> 518 NY.GDP.MKTP.KN.87
#> 519 NY.GDP.MKTP.KN.87.ZG
#> 520 NY.GDP.MKTP.PP.CD
#> 521 NY.GDP.MKTP.PP.KD
#> 522 NY.GDP.MKTP.PP.KD.87
#> 523 NY.GDP.MKTP.XD
#> 524 NY.GDP.MKTP.XU.E
#> 525 NY.GDP.MKTP.ZG
#> 526 NY.GDP.NGAS.RT.ZS
#> 527 NY.GDP.PCAP.CD
#> 528 NY.GDP.PCAP.CN
#> 529 NY.GDP.PCAP.KD
#> 530 NY.GDP.PCAP.KD.ZG
#> 531 NY.GDP.PCAP.KN
#> 532 NY.GDP.PCAP.PP.CD
#> 533 NY.GDP.PCAP.PP.KD
#> 534 NY.GDP.PCAP.PP.KD.87
#> 535 NY.GDP.PCAP.PP.KD.ZG
#> 536 NY.GDP.PETR.RT.ZS
#> 537 NY.GDP.TOTL.RT.ZS
#> 538 NY.GDS.TOTL.CD
#> 539 NY.GDS.TOTL.CN
#> 540 NY.GDS.TOTL.KD
#> 541 NY.GDS.TOTL.KN
#> 542 NY.GDS.TOTL.ZS
#> 543 NY.GDY.TOTL.KD
#> 544 NY.GDY.TOTL.KN
#> 545 NY.GEN.AEDU.GD.ZS
#> 546 NY.GEN.DCO2.GD.ZS
#> 547 NY.GEN.DFOR.GD.ZS
#> 548 NY.GEN.DKAP.GD.ZS
#> 549 NY.GEN.DMIN.GD.ZS
#> 550 NY.GEN.DNGY.GD.ZS
#> 551 NY.GEN.NDOM.GD.ZS
#> 552 NY.GEN.SVNG.GD.ZS
#> 553 NY.GNP.MKTP.PP.CD
#> 554 NY.GNP.MKTP.PP.KD
#> 555 NY.GNP.PCAP.PP.CD
#> 556 NY.GNP.PCAP.PP.KD
#> 557 NY.GNS.ICTR.ZS
#> 558 NYGDPMKTPKDZ
#> 559 NYGDPMKTPSACD
#> 560 NYGDPMKTPSACN
#> 561 NYGDPMKTPSAKD
#> 562 NYGDPMKTPSAKN
#> 563 PA.NUS.GDP.PLI
#> 564 PA.NUS.PPP
#> 565 PA.NUS.PPP.05
#> 566 PA.NUS.PPPC.RF
#> 567 PA.NUS.PRVT.PP
#> 568 PER.ALL.CNTRL.GDP
#> 569 PER.ALL.CPL.GDP
#> 570 PER.ALL.PS.GDP
#> 571 PER.ALL.RCT.GDP
#> 572 PER.ALL.SAL.GDP
#> 573 PER.ALL.SUB.GDP
#> 574 PER.ALL.TSAL.GDP
#> 575 PER.ALL.TTL.GDP
#> 576 PER.ALL.TTL.GDP.GOV
#> 577 PER.BAS.GDP
#> 578 PER.BAS.PS.GDP
#> 579 PER.BAS.SAL.GDP
#> 580 PER.EFF.GDP
#> 581 PER.EFF.SUB.GDP
#> 582 PER.EFF.TEACH.GDP
#> 583 PER.JR.PS.GDP
#> 584 PER.JR.SAL.GDP
#> 585 PER.OC.FEED.GDP
#> 586 PER.OC.TRA.GDP
#> 587 PER.PP.GDP
#> 588 PER.PP.PS.GDP
#> 589 PER.PRM.GDP
#> 590 PER.PRM.PS.GDP
#> 591 PER.PRM.RCT.GDP
#> 592 PER.PRM.SAL.GDP
#> 593 PER.SEC.GDP
#> 594 PER.SEC.PS.GDP
#> 595 PER.SEC.RCT.GDP
#> 596 PER.SEC.SAL.GDP
#> 597 PER.SOR.GOV.GDP
#> 598 PER.SOR.ITL.GDP
#> 599 PER.SOR.PVT.GDP
#> 600 PER.SOR.PVT.GDP.PP
#> 601 PER.SOR.PVT.GDP.PRM
#> 602 PER.SOR.PVT.GDP.SEC
#> 603 PER.SOR.PVT.GDP.TER
#> 604 PER.SR.PS.GDP
#> 605 PER.SR.SAL.GDP
#> 606 PER.TER.GDP
#> 607 PER.TER.PS.GDP
#> 608 PER.TER.RCT.GDP
#> 609 PER.TER.SAL.GDP
#> 610 PER.TT.PS.GDP
#> 611 PER.VOC.GDP
#> 612 PER.VOC.PS.GDP
#> 613 REV.DAU.CR
#> 614 SE.PRM.BFIN.6
#> 615 SE.PRM.SATT.2
#> 616 SE.PRM.TATT.1
#> 617 SE.XPD.EDUC.ZS
#> 618 SE.XPD.PRIM.GDP.ZS
#> 619 SE.XPD.PRIM.PC.ZS
#> 620 SE.XPD.SECO.GDP.ZS
#> 621 SE.XPD.SECO.PC.ZS
#> 622 SE.XPD.TERT.GDP.ZS
#> 623 SE.XPD.TERT.PC.ZS
#> 624 SE.XPD.TOTL.GD.ZS
#> 625 SF.TRN.RAIL.KM.ZS
#> 626 SH.STA.MMRT
#> 627 SH.XPD.CHEX.GD.ZS
#> 628 SH.XPD.GHED.GD.ZS
#> 629 SH.XPD.HLTH.ZS
#> 630 SH.XPD.KHEX.GD.ZS
#> 631 SH.XPD.PRIV.ZS
#> 632 SH.XPD.PUBL.ZS
#> 633 SH.XPD.TOTL.ZS
#> 634 SL.GDP.PCAP.EM.KD
#> 635 SL.GDP.PCAP.EM.KD.ZG
#> 636 SL.GDP.PCAP.EM.XD
#> 637 SPI.D5.2.3.CNIN
#> 638 SPI.D5.2.5.HOUS
#> 639 SPI.D5.5.DIFI
#> 640 TG.VAL.TOTL.GD.PP.ZS
#> 641 TG.VAL.TOTL.GD.ZS
#> 642 TG.VAL.TOTL.GG.ZS
#> 643 UIS.X.PPPCONST.02.FSGOV
#> 644 UIS.X.PPPCONST.1.FSGOV
#> 645 UIS.X.PPPCONST.2.FSGOV
#> 646 UIS.X.PPPCONST.2T3.FSGOV
#> 647 UIS.X.PPPCONST.2T4.V.FSGOV
#> 648 UIS.X.PPPCONST.3.FSGOV
#> 649 UIS.X.PPPCONST.4.FSGOV
#> 650 UIS.X.PPPCONST.5T8.FSGOV
#> 651 UIS.X.PPPCONST.FSGOV
#> 652 UIS.X.PPPCONST.UK.FSGOV
#> 653 UIS.X.USCONST.02.FSGOV
#> 654 UIS.X.USCONST.1.FSGOV
#> 655 UIS.X.USCONST.2.FSGOV
#> 656 UIS.X.USCONST.2T3.FSGOV
#> 657 UIS.X.USCONST.2T4.V.FSGOV
#> 658 UIS.X.USCONST.3.FSGOV
#> 659 UIS.X.USCONST.4.FSGOV
#> 660 UIS.X.USCONST.5T8.FSGOV
#> 661 UIS.X.USCONST.FSGOV
#> 662 UIS.X.USCONST.UK.FSGOV
#> 663 UIS.XGDP.0.FSGOV
#> 664 UIS.XGDP.1.FSGOV
#> 665 UIS.XGDP.2.FSGOV
#> 666 UIS.XGDP.23.FSGOV
#> 667 UIS.XGDP.2T4.V.FSGOV
#> 668 UIS.XGDP.3.FSGOV
#> 669 UIS.XGDP.4.FSGOV
#> 670 UIS.XGDP.56.FSGOV
#> 671 UIS.XUNIT.GDPCAP.02.FSGOV
#> 672 UIS.XUNIT.GDPCAP.1.FSGOV
#> 673 UIS.XUNIT.GDPCAP.1.FSHH
#> 674 UIS.XUNIT.GDPCAP.2.FSGOV
#> 675 UIS.XUNIT.GDPCAP.23.FSGOV
#> 676 UIS.XUNIT.GDPCAP.23.FSHH
#> 677 UIS.XUNIT.GDPCAP.3.FSGOV
#> 678 UIS.XUNIT.GDPCAP.5T8.FSGOV
#> 679 UIS.XUNIT.GDPCAP.5T8.FSHH
#> name
#> 1 GDP (current $)
#> 2 GDP growth (annual %)
#> 3 GDP (constant 2005 $)
#> 4 GDP per capita, PPP (constant 2011 international $)
#> 5 Trade in services (% of GDP)
#> 6 Gross private capital flows (% of GDP, PPP)
#> 7 Gross private capital flows (% of GDP)
#> 8 Gross foreign direct investment (% of GDP, PPP)
#> 9 Gross foreign direct investment (% of GDP)
#> 10 Wage bill as a percentage of GDP
#> 11 Merchandise imports (BOP): percentage of GDP (%)
#> 12 Foreign direct investment, net outflows (% of GDP)
#> 13 Foreign direct investment, net outflows (% of GDP)
#> 14 Current account balance (% of GDP)
#> 15 Current account balance (% of GDP)
#> 16 Curr. acc. bal. before official transf. (% of GDP)
#> 17 Current account balance excluding net official capital grants (% of GDP)
#> 18 Net income (% of GDP)
#> 19 Foreign direct investment (% of GDP)
#> 20 Foreign direct investment, net inflows (% of GDP)
#> 21 Private capital flows, total (% of GDP)
#> 22 Net current transfers (% of GDP)
#> 23 Merchandise exports (BOP): percentage of GDP (%)
#> 24 Foreign direct investment, net inflows (% of GDP)
#> 25 Foreign direct investment, net inflows (% of GDP)
#> 26 Migrant remittance inflows (% of GDP)
#> 27 Personal remittances, received (% of GDP)
#> 28 Workers' remittances, receipts (% of GDP)
#> 29 Total energy tax revenue (% of GDP)
#> 30 Total environmental tax revenue (% of GDP)
#> 31 Macro drivers of GHG emissions growth in the period 2012-2018 - Emission Intensity of GDP
#> 32 Macro drivers of GHG emissions growth in the period 2012-2018 - GDP per capita
#> 33 Annual investment needs for coastal protection, by risk strategy (% of GDP) - low risk tolerance
#> 34 Annual investment needs for coastal protection, by risk strategy (% of GDP) - constant relative flood risk
#> 35 Annual investment needs for coastal protection, by risk strategy (% of GDP) - optimal protection
#> 36 Risk to asset (average annual losses as % of GDP)
#> 37 Risk to wellbeing (average annual losses as % of GDP)
#> 38 Public social protection expenditure (%of GDP)
#> 39 Financing via international capital markets (gross inflows, % of GDP)
#> 40 Market capitalization of listed domestic companies (% of GDP)
#> 41 Stocks traded, total value (% of GDP)
#> 42 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 43 Gross PSD, Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 44 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 45 Gross PSD, General Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 46 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 47 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 48 Gross PSD, Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 49 Gross PSD, Financial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 50 Gross PSD, General Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 51 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 52 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 53 Gross PSD, Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 54 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 55 Gross PSD, General Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 56 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 57 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 58 Gross PSD, Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 59 Gross PSD, Financial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 60 Gross PSD, General Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 61 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 62 Gross PSD, Budgetary Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 63 Gross PSD, Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 64 Gross PSD, Financial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 65 Gross PSD, General Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 66 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 67 Gross PSD, Budgetary Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 68 Gross PSD, Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 69 Gross PSD, Financial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 70 Gross PSD, General Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 71 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 72 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 73 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 74 Gross PSD, General Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 75 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 76 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 77 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 78 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 79 Gross PSD, General Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 80 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 81 Gross PSD, Nonfinancial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 82 Gross PSD, Central Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 83 Gross PSD, General Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 84 Gross PSD, Central Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 85 Gross PSD, General Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 86 Gross PSD, Central Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 87 Gross PSD, General Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 88 Gross PSD, Central Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 89 Gross PSD, General Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 90 Gross PSD, Central Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 91 Gross PSD, General Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 92 Gross PSD, Budgetary Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 93 Gross PSD, Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 94 Gross PSD, Financial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 95 Gross PSD, General Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 96 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 97 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 98 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 99 Gross PSD, General Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 100 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 101 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 102 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 103 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 104 Gross PSD, General Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 105 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 106 Gross PSD, Budgetary Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 107 Gross PSD, Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 108 Gross PSD, Financial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 109 Gross PSD, General Gov., All maturities, Debt Securities, Market value, % of GDP
#> 110 Gross PSD, Nonfinancial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 111 Gross PSD, Nonfinancial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 112 Gross PSD, Budgetary Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 113 Gross PSD, Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 114 Gross PSD, Financial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 115 Gross PSD, General Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 116 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
#> 117 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 118 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
#> 119 Gross PSD, General Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 120 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
#> 121 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
#> 122 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 123 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
#> 124 Gross PSD, General Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 125 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
#> 126 Gross PSD, Nonfinancial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 127 Gross PSD, Budgetary Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 128 Gross PSD, Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 129 Gross PSD, Financial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 130 Gross PSD, General Gov., All maturities, Loans, Nominal Value, % of GDP
#> 131 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 132 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 133 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 134 Gross PSD, General Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 135 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 136 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 137 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 138 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 139 Gross PSD, General Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 140 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 141 Gross PSD, Nonfinancial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 142 Gross PSD, Budgetary Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 143 Gross PSD, Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 144 Gross PSD, Financial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 145 Gross PSD, General Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 146 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 147 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 148 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 149 Gross PSD, General Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 150 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 151 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 152 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 153 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 154 Gross PSD, General Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 155 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 156 Gross PSD, Nonfinancial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 157 Gross PSD, Budgetary Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 158 Gross PSD, Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 159 Gross PSD, Financial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 160 Gross PSD, General Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 161 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 162 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 163 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 164 Gross PSD, General Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 165 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 166 Gross PSD, Nonfinancial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 167 Gross PSD, Budgetary Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 168 Gross PSD, Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 169 Gross PSD, Financial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 170 Gross PSD, General Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 171 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 172 Gross PSD, Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 173 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 174 Gross PSD, General Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 175 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 176 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 177 Gross PSD, Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 178 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 179 Gross PSD, General Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 180 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 181 Gross PSD, Nonfinancial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 182 Gross PSD, Budgetary Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 183 Gross PSD, Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 184 Gross PSD, Financial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 185 Gross PSD, General Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 186 Gross PSD, Nonfinancial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 187 Gross PSD, Budgetary Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 188 Gross PSD, Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 189 Gross PSD, Financial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 190 Gross PSD, General Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 191 Gross PSD, Nonfinancial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 192 Gross PSD, Budgetary Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 193 Gross PSD, Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 194 Gross PSD, Financial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 195 Gross PSD, General Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 196 Gross PSD, Nonfinancial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 197 Gross PSD, Budgetary Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 198 Gross PSD, Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 199 Gross PSD, Financial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 200 Gross PSD, General Gov., Short-term, Loans, Nominal Value, % of GDP
#> 201 Gross PSD, Nonfinancial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 202 Gross PSD, Budgetary Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 203 Gross PSD, Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 204 Gross PSD, Financial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 205 Gross PSD, General Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 206 Gross PSD, Nonfinancial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 207 Gross PSD, Budgetary Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 208 Gross PSD, Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 209 Gross PSD, Financial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 210 Gross PSD, General Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 211 Gross PSD, Nonfinancial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 212 Debt on Concessional terms to GDP (% of GDP)
#> 213 Debt on Non-concessional terms to GDP (% of GDP)
#> 214 Debt on Non-concessional terms to export ratio (% of exports)
#> 215 Debt outstanding and disbursed, Total to GDP (% of GDP)
#> 216 Net ODA received (% of GDP)
#> 217 Net ODA received from DAC donors (% of recipient's GDP)
#> 218 Net ODA received from multilateral donors (% of GDP)
#> 219 Net ODA received from non-DAC bilateral donors (% of GDP)
#> 220 Net ODA received (% of GDP)
#> 221 Total debt service (% of GDP)
#> 222 Economic Fitness Metric
#> 223 Universal Economic Fitness Metric
#> 224 Energy intensity level of primary energy (MJ/$2021 PPP GDP)
#> 225 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 226 GDP per unit of energy use (2000 US$ per kg of oil equivalent)
#> 227 GDP per unit of energy use (PPP $ per kg of oil equivalent)
#> 228 GDP per unit of energy use (constant 2021 PPP $ per kg of oil equivalent)
#> 229 Energy use (kg of oil equivalent) per $1,000 GDP (constant 2021 PPP)
#> 230 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 231 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 232 CO2 emissions (kg per 2010 US$ of GDP)
#> 233 CO2 emissions (kg per PPP $ of GDP)
#> 234 CO2 emissions (kg per 2011 PPP $ of GDP)
#> 235 Carbon intensity of GDP (kg CO2e per constant 2015 US$ of GDP)
#> 236 Carbon intensity of GDP (kg CO2e per 2021 PPP $ of GDP)
#> 237 Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)
#> 238 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 239 Deposit insurance coverage (% of GDP per capita)
#> 240 Domestic credit to private sector by banks (% of GDP)
#> 241 Total reserves includes gold (% of GDP)
#> 242 Claims on governments and other public entities (% of GDP)
#> 243 Monetary Sector credit to private sector (% GDP)
#> 244 Broad money (% of GDP)
#> 245 Money and quasi money (M2) as % of GDP
#> 246 Money and quasi money (M2) as % of GDP
#> 247 Income velocity of money (GDP/M2)
#> 248 Quasi-liquid liabilities (% of GDP)
#> 249 Seignorage (% of GDP)
#> 250 Real deposit interest rate (%)
#> 251 Real interest rate (%)
#> 252 Claims on central government, etc. (% GDP)
#> 253 Claims on other sectors of the domestic economy (% of GDP)
#> 254 Domestic credit provided by financial sector (% of GDP)
#> 255 Domestic credit provided by banking sector (% of GDP)
#> 256 Domestic credit to private sector (% of GDP)
#> 257 Credit to private sector (% of GDP)
#> 258 Liquid liabilities (M3) as % of GDP
#> 259 Liquid liabilities (M3) as % of GDP
#> 260 Quasi-liquid liabilities (% of GDP)
#> 261 Overall budget balance, including grants (% of GDP)
#> 262 Overall budget deficit, including grants (% of GDP)
#> 263 Central government debt, total (% of GDP)
#> 264 Central government debt, total (% of GDP)
#> 265 Financing from abroad (% of GDP)
#> 266 Financing from abroad (% of GDP)
#> 267 Domestic financing, total (% of GDP)
#> 268 Domestic finanacing (% of GDP)
#> 269 Current revenue, excluding grants (% of GDP)
#> 270 Current revenue (% of GDP)
#> 271 Central government revenues, excluding all grants (% of GDP)
#> 272 Current revenue, excluding grants (% of GDP)
#> 273 SOE external debt (% of GDP)
#> 274 State-owned enterprises, economic activity (% of GDP)
#> 275 SOE economic activity (% of GDP)
#> 276 State-owned enterprises, net financial flows from government (% of GDP)
#> 277 SOE net financial flows from government (% of GDP)
#> 278 State-owned enterprises, overall balance before transfers (% of GDP)
#> 279 SOE overall balance before transfers (% of total)
#> 280 Tax revenue (% of GDP)
#> 281 Tax revenue (% of GDP)
#> 282 Defense expenditure (% of GDP)
#> 283 Research and development expenditure (% of GDP)
#> 284 Expenditure, total (% of GDP)
#> 285 Total expenditure (% of GDP)
#> 286 Net acquisition of financial assets (% of GDP)
#> 287 Cash surplus/deficit (% of GDP)
#> 288 Central government debt, total (% of GDP)
#> 289 Net incurrence of liabilities, domestic (% of GDP)
#> 290 Net incurrence of liabilities, foreign (% of GDP)
#> 291 Net incurrence of liabilities, total (% of GDP)
#> 292 Net investment in nonfinancial assets (% of GDP)
#> 293 Net lending (+) / net borrowing (-) (% of GDP)
#> 294 Revenue, excluding grants (% of GDP)
#> 295 Tax revenue (% of GDP)
#> 296 Expense (% of GDP)
#> 297 Private credit by deposit money banks to GDP (%)
#> 298 Deposit money banks'' assets to GDP (%)
#> 299 Nonbank financial institutions’ assets to GDP (%)
#> 300 Liquid liabilities to GDP (%)
#> 301 Central bank assets to GDP (%)
#> 302 Mutual fund assets to GDP (%)
#> 303 Financial system deposits to GDP (%)
#> 304 Life insurance premium volume to GDP (%)
#> 305 Non-life insurance premium volume to GDP (%)
#> 306 Insurance company assets to GDP (%)
#> 307 Private credit by deposit money banks and other financial institutions to GDP (%)
#> 308 Pension fund assets to GDP (%)
#> 309 Domestic credit to private sector (% of GDP)
#> 310 Stock market capitalization to GDP (%)
#> 311 Stock market total value traded to GDP (%)
#> 312 Outstanding domestic private debt securities to GDP (%)
#> 313 Outstanding domestic public debt securities to GDP (%)
#> 314 Outstanding international private debt securities to GDP (%)
#> 315 Outstanding international public debt securities to GDP (%)
#> 316 International debt issues to GDP (%)
#> 317 Gross portfolio equity liabilities to GDP (%)
#> 318 Gross portfolio equity assets to GDP (%)
#> 319 Gross portfolio debt liabilities to GDP (%)
#> 320 Gross portfolio debt assets to GDP (%)
#> 321 Syndicated loan issuance volume to GDP (%)
#> 322 Corporate bond issuance volume to GDP (%)
#> 323 Credit flows by fintech and bigtech companies to GDP (%)
#> 324 Credit to government and state-owned enterprises to GDP (%)
#> 325 Bank deposits to GDP (%)
#> 326 Loans from nonresident banks (net) to GDP (%)
#> 327 Loans from nonresident banks (amounts outstanding) to GDP (%)
#> 328 Remittance inflows to GDP (%)
#> 329 Consolidated foreign claims of BIS reporting banks to GDP (%)
#> 330 Global leasing volume to GDP (%)
#> 331 Total factoring volume to GDP (%)
#> 332 Banking crisis dummy (1=banking crisis, 0=none)
#> 333 Real annual labor productivity growth (%)
#> 334 Real annual sales growth (%)
#> 335 Information and communication technology expenditure (% of GDP)
#> 336 Nominal GSDP Per Capita (INR)
#> 337 Nominal GSDP Per Capita (USD)
#> 338 Real GSDP Per Capita (INR)
#> 339 Real GSDP Per Capita (INR) Growth Rate
#> 340 Real GSDP Per Capita (USD)
#> 341 Real GSDP Per Capita (USD) Growth Rate
#> 342 Railways, goods transported (ton-km per PPP $ million of GDP)
#> 343 Railways, passenger-km (per PPP $ million of GDP)
#> 344 Telecommunications revenue (% GDP)
#> 345 Sustainable Economic Opportunity
#> 346 Military expenditure (% of GDP)
#> 347 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Current Price
#> 348 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 349 GDP on Agriculture Sector (in IDR Million), Current Price
#> 350 GDP on Agriculture Sector (in IDR Million), Constant Price
#> 351 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Current Price
#> 352 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Constant Price
#> 353 GDP on Business Services Sector (in IDR Million), SNA 2008, Current Price
#> 354 GDP on Business Services Sector (in IDR Million), SNA 2008, Constant Price
#> 355 GDP on Construction Sector (in IDR Million), Current Price
#> 356 GDP on Construction Sector (in IDR Million), Constant Price
#> 357 GDP on Construction Sector (in IDR Million), SNA 2008, Current Price
#> 358 GDP on Construction Sector (in IDR Million), SNA 2008, Constant Price
#> 359 GDP on Education Services Sector (in IDR Million), SNA 2008, Current Price
#> 360 GDP on Education Services Sector (in IDR Million), SNA 2008, Constant Price
#> 361 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Current Price
#> 362 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Constant Price
#> 363 Total GDP excluding Oil and Gas (in IDR Million), Current Price
#> 364 Total GDP excluding Oil and Gas (in IDR Million), Constant Price
#> 365 GDP on Financial Service Sector (in IDR Million), Current Price
#> 366 GDP on Financial Service Sector (in IDR Million), Constant Price
#> 367 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Current Price
#> 368 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 369 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Current Price
#> 370 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 371 Total GDP including Oil and Gas (in IDR Million), Current Price
#> 372 Total GDP including Oil and Gas (in IDR Million), Constant Price
#> 373 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Current Price
#> 374 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Constant Price
#> 375 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Current Price
#> 376 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Constant Price
#> 377 GDP on Mining and Quarrying Sector (in IDR Million), Current Price
#> 378 GDP on Mining and Quarrying Sector (in IDR Million), Constant Price
#> 379 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Current Price
#> 380 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Constant Price
#> 381 GDP on Manufacturing Sector (in IDR Million), Current Price
#> 382 GDP on Manufacturing Sector (in IDR Million), Constant Price
#> 383 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Current Price
#> 384 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Constant Price
#> 385 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Current Price
#> 386 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Constant Price
#> 387 GDP on Real Estate Sector (in IDR Million), SNA 2008, Current Price
#> 388 GDP on Real Estate Sector (in IDR Million), SNA 2008, Constant Price
#> 389 GDP on Other Service Sector (in IDR Million), Current Price
#> 390 GDP on Other Service Sector (in IDR Million), Constant Price
#> 391 GDP on Other Services Sector (in IDR Million), SNA 2008, Current Price
#> 392 GDP on Other Services Sector (in IDR Million), SNA 2008, Constant Price
#> 393 GDP on Transportation and Telecommunication Sector (in IDR Million), Current Price
#> 394 GDP on Transportation and Telecommunication Sector (in IDR Million), Constant Price
#> 395 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Current Price
#> 396 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Constant Price
#> 397 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Current Price
#> 398 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Constant Price
#> 399 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Current Price
#> 400 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Constant Price
#> 401 GDP on Utilities Sector (in IDR Million), Current Price
#> 402 GDP on Utilities Sector (in IDR Million), Constant Price
#> 403 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Current Price
#> 404 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Constant Price
#> 405 General government final consumption expenditure (% of GDP)
#> 406 Households and NPISHs Final consumption expenditure per capita, PPP (current international $)
#> 407 Households and NPISHs Final consumption expenditure per capita, PPP (constant 2021 international $)
#> 408 Household final consumption expenditure, etc. (% of GDP)
#> 409 Households and NPISHs Final consumption expenditure, PPP (current international $)
#> 410 Households and NPISHs Final consumption expenditure, PPP (constant 2021 international $)
#> 411 Households and NPISHs final consumption expenditure (% of GDP)
#> 412 Final consumption expenditure, etc. (% of GDP)
#> 413 Total consumption: contribution to growth of GDP (%)
#> 414 Final consumption expenditure (% of GDP)
#> 415 Gross national expenditure (% of GDP)
#> 416 Exports of goods and services (% of GDP)
#> 417 GDP expenditure on general government consumption (in IDR Million)
#> 418 GDP expenditure on general government consumption (in IDR Million), SNA 2008, Current Price
#> 419 GDP expenditure on non profit private institution consumption (in IDR Million)
#> 420 GDP expenditure on non profit private institution consumption (in IDR Million), SNA 2008, Current Price
#> 421 GDP expenditure on private consumption (in IDR Million)
#> 422 GDP expenditure on private consumption (in IDR Million), SNA 2008, Current Price
#> 423 GDP expenditure on exports (in IDR Million)
#> 424 GDP expenditure on exports (in IDR Million), SNA 2008, Current Price
#> 425 Gross fixed capital formation, private sector (% of GDP)
#> 426 Gross public investment (% of GDP)
#> 427 GDP expenditure on gross fixed capital formation (in IDR Million)
#> 428 GDP expenditure on gross fixed capital formation (in IDR Million), SNA 2008, Current Price
#> 429 Gross fixed capital formation (% of GDP)
#> 430 GDP expenditure on imports (in IDR Million)
#> 431 GDP expenditure on imports (in IDR Million), SNA 2008, Current Price
#> 432 GDP expenditure on inter-region net exports (in IDR Million), SNA 2008, Current Price
#> 433 GDP expenditure on changes in stock (in IDR Million)
#> 434 GDP expenditure on changes in stock (in IDR Million), SNA 2008, Current Price
#> 435 Total GDP based on expenditure (in IDR Million)
#> 436 Total GDP based on expenditure (in IDR Million), SNA 2008, Current Price
#> 437 Gross domestic investment: contr. to growth of GDP(%)
#> 438 Gross capital formation (% of GDP)
#> 439 Imports of goods and services (% of GDP)
#> 440 Merchandise trade to GDP ratio (%)
#> 441 Resource balance: contribution to growth of GDP (%)
#> 442 External balance on goods and services (% of GDP)
#> 443 Trade (% of GDP)
#> 444 Agriculture: contribution to growth of GDP (%)
#> 445 Industry: contribution to growth of GDP (%)
#> 446 Services: contribution to growth of GDP (%)
#> 447 Real agricultural GDP per capita growth rate (%)
#> 448 Real agricultural GDP growth rates (%)
#> 449 Agriculture, forestry, and fishing, value added (% of GDP)
#> 450 Manufacturing, value added (% of GDP)
#> 451 Industry: contribution to growth of GDP (%)
#> 452 Industry (including construction), value added (% of GDP)
#> 453 Discrepancy in GDP, value added (current US$)
#> 454 Discrepancy in GDP, value added (current LCU)
#> 455 Discrepancy in GDP, value added (constant LCU)
#> 456 Services: contribution to growth of GDP (%)
#> 457 Services, etc., value added (% of GDP)
#> 458 Services, value added (% of GDP)
#> 459 Human capital per capita, female (real chained 2019 US$)
#> 460 Human capital, female (real chained 2019 US$)
#> 461 Human capital per capita, male (real chained 2019 US$)
#> 462 Human capital, male (real chained 2019 US$)
#> 463 Human capital per capita (real chained 2019 US$)
#> 464 Human capital (real chained 2019 US$)
#> 465 Renewable natural capital per capita, agricultural land (real chained 2019 US$)
#> 466 Renewable natural capital, agricultural land (real chained 2019 US$)
#> 467 Renewable natural capital per capita, fisheries (real chained 2019 US$)
#> 468 Renewable natural capital, fisheries (real chained 2019 US$)
#> 469 Renewable natural capital per capita, timber (real chained 2019 US$)
#> 470 Renewable natural capital, timber (real chained 2019 US$)
#> 471 Renewable natural capital per capita, mangroves (real chained 2019 US$)
#> 472 Renewable natural capital, mangroves (real chained 2019 US$)
#> 473 Nonrenewable natural capital per capita, metals and minerals, sub-index, total (real chained 2019 US$)
#> 474 Nonrenewable natural capital, metals and minerals, sub-index, total (real chained 2019 US$)
#> 475 Nonrenewable natural capital per capita, coal (real chained 2019 US$)
#> 476 Nonrenewable natural capital, coal (real chained 2019 US$)
#> 477 Nonrenewable natural capital per capita, natural gas (real chained 2019 US$)
#> 478 Nonrenewable natural capital, natural gas (real chained 2019 US$)
#> 479 Nonrenewable natural capital per capita, oil (real chained 2019 US$)
#> 480 Nonrenewable natural capital, oil (real chained 2019 US$)
#> 481 Nonrenewable natural capital per capita, total (real chained 2019 US$)
#> 482 Nonrenewable natural capital, total (real chained 2019 US$)
#> 483 Foreign assets per capita (real chained 2019 US$)
#> 484 Foreign assets (real chained 2019 US$)
#> 485 Produced capital per capita (real chained 2019 US$)
#> 486 Produced capital (real chained 2019 US$)
#> 487 National comprehensive wealth per capita index (real chained 2019 US$)
#> 488 National comprehensive wealth index (real chained 2019 US$)
#> 489 Agricultural support estimate (% of GDP)
#> 490 Coal rents (% of GDP)
#> 491 Inflation, GDP deflator (annual %)
#> 492 Inflation, GDP deflator (annual %)
#> 493 Inflation, GDP deflator: linked series (annual %)
#> 494 GDP deflator (base year varies by country)
#> 495 GDP deflator (1987 = 100)
#> 496 GDP deflator: linked series (base year varies by country)
#> 497 Discrepancy in expenditure estimate of GDP (current US$)
#> 498 Discrepancy in expenditure estimate of GDP (current LCU)
#> 499 Discrepancy in expenditure estimate of GDP (constant LCU)
#> 500 Gross value added at basic prices (GVA) (current US$)
#> 501 Gross value added at basic prices (GVA) (current LCU)
#> 502 Gross value added at basic prices (GVA) (constant 2015 US$)
#> 503 GDP at factor cost (constant 1987 US$)
#> 504 Gross value added at basic prices (GVA) (constant LCU)
#> 505 GDP at factor cost (constant 1987 LCU)
#> 506 Forest rents (% of GDP)
#> 507 Mineral rents (% of GDP)
#> 508 GDP (current US$)
#> 509 GDP deflator, index (2000=100; US$ series)
#> 510 GDP (current LCU)
#> 511 GDP: linked series (current LCU)
#> 512 GDP deflator, period average (LCU index 2000=100)
#> 513 GDP Deflator
#> 514 GDP (constant 2015 US$)
#> 515 GDP at market prices (constant 1987 US$)
#> 516 GDP growth (annual %)
#> 517 GDP (constant LCU)
#> 518 GDP at market prices (constant 1987 LCU)
#> 519 GDP growth (annual %)
#> 520 GDP, PPP (current international $)
#> 521 GDP, PPP (constant 2021 international $)
#> 522 GDP, PPP (constant 1987 international $)
#> 523 GDP deflator (1987=100,Index)
#> 524 GDP deflator, end period (base year varies by country)
#> 525 Gross domestic product (Av. annual growth, %)
#> 526 Natural gas rents (% of GDP)
#> 527 GDP per capita (current US$)
#> 528 GDP per capita (current LCU)
#> 529 GDP per capita (constant 2015 US$)
#> 530 GDP per capita growth (annual %)
#> 531 GDP per capita (constant LCU)
#> 532 GDP per capita, PPP (current international $)
#> 533 GDP per capita, PPP (constant 2021 international $)
#> 534 GDP per capita, PPP (constant 1987 international $)
#> 535 GDP per capita, PPP annual growth (%)
#> 536 Oil rents (% of GDP)
#> 537 Total natural resources rents (% of GDP)
#> 538 Gross domestic savings (current US$)
#> 539 Gross domestic savings (current LCU)
#> 540 Gross domestic savings, total (constant 2000 US$)
#> 541 Gross domestic savings (constant LCU)
#> 542 Gross domestic savings (% of GDP)
#> 543 Gross domestic income (constant 2005 US$)
#> 544 Gross domestic income (constant LCU)
#> 545 Genuine savings: education expenditure (% of GDP)
#> 546 Genuine savings: carbon dioxide damage (% of GDP)
#> 547 Genuine savings: net forest depletion (% of GDP)
#> 548 Genuine savings: consumption of fixed capital (% of GDP)
#> 549 Genuine savings: mineral depletion (% of GDP)
#> 550 Genuine savings: energy depletion (% of GDP)
#> 551 Genuine savings: net domestic savings (% of GDP)
#> 552 Genuine domestic savings (% of GDP)
#> 553 GNI, PPP (current international $)
#> 554 GNI, PPP (constant 2021 international $)
#> 555 GNI per capita, PPP (current international $)
#> 556 GNI per capita, PPP (constant 2021 international $)
#> 557 Gross savings (% of GDP)
#> 558 GDP growth, constant (average 2010-19 prices and exchange rates)
#> 559 GDP,current US$,millions,seas. adj.,
#> 560 GDP,current LCU,millions,seas. adj.,
#> 561 GDP,constant 2010 US$,millions,seas. adj.,
#> 562 GDP,constant 2010 LCU,millions,seas. adj.,
#> 563 Price level index (GDP)
#> 564 PPP conversion factor, GDP (LCU per international $)
#> 565 2005 PPP conversion factor, GDP (LCU per international $)
#> 566 Price level ratio of PPP conversion factor (GDP) to market exchange rate
#> 567 PPP conversion factor, households and NPISHs Final consumption expenditure (LCU per international $)
#> 568 World Bank: Share of GDP for central government expenditures on education (%)
#> 569 World Bank: Public capital expenditure on education as % of GDP
#> 570 World Bank: Public education expenditure per student (% of GDP per capita)
#> 571 World Bank: Public recurrent expenditure on education (% of GDP)
#> 572 World Bank: Education salary expenditures as a % of GDP
#> 573 World Bank: Share of GDP for subnational government expenditures on education (%)
#> 574 World Bank: Ratio of Teacher Salaries to per capita GDP
#> 575 World Bank: Total education expenditure as % of GDP
#> 576 World Bank: Total public education expenditure as % of GDP
#> 577 World Bank: Share of GDP for education expenditures on basic education (%)
#> 578 World Bank: Public education expenditure per student (% of GDP per capita), basic
#> 579 World Bank: Ratio of Teacher Salaries to per capita GDP, basic education
#> 580 World Bank: Share of GDP lost through inefficiencies (%)
#> 581 World Bank: Share of GDP potentially saved with improved targeting of education subsidies (%)
#> 582 World Bank: Share of GDP potentially saved with improved pupil/teacher ratios (%)
#> 583 World Bank: Public education expenditure per student (% of GDP per capita), junior secondary
#> 584 World Bank: Ratio of Teacher Salaries to per capita GDP, junior secondary
#> 585 World Bank: School Feeding Programs (% of GDP)
#> 586 World Bank: Central Government Transfers for education (% of GDP)
#> 587 World Bank: Share of GDP for education expenditures on pre-primary education (%)
#> 588 World Bank: Public education expenditure per student (% of GDP per capita), pre-primary
#> 589 World Bank: Share of GDP for education expenditures on primary education (%)
#> 590 World Bank: Public education expenditure per student (% of GDP per capita), primary
#> 591 World Bank: Primary recurrent expenditures as a share of GDP (%)
#> 592 World Bank: Ratio of Teacher Salaries to per capita GDP, primary
#> 593 World Bank: Share of GDP for education expenditures on secondary education (%)
#> 594 World Bank: Public education expenditure per student (% of GDP per capita), secondary
#> 595 World Bank: Secondary recurrent expenditures as a share of GDP (%)
#> 596 World Bank: Ratio of Teacher Salaries to per capita GDP, secondary
#> 597 World Bank: Total education expenditure from public sources (% of GDP)
#> 598 World Bank: Total education expenditures from international sources as a % of GDP
#> 599 World Bank: Total private expenditure on education (% of GDP)
#> 600 World Bank: Total private expenditure on pre-primary education (% of GDP)
#> 601 World Bank: Total private expenditure on primary education (% of GDP)
#> 602 World Bank: Total private expenditure on secondary education (% of GDP)
#> 603 World Bank: Total private expenditure on tertiary education (% of GDP)
#> 604 World Bank: Public education expenditure per student (% of GDP per capita), senior secondary
#> 605 World Bank: Ratio of Teacher Salaries to per capita GDP, senior secondary
#> 606 World Bank: Share of GDP for education expenditures on tertiary education (%)
#> 607 World Bank: Public education expenditure per student (% of GDP per capita), tertiary
#> 608 World Bank: Tertiary recurrent expenditures as a share of GDP (%)
#> 609 World Bank: Ratio of Teacher Salaries to per capita GDP, tertiary
#> 610 World Bank: Public education expenditure per student (% of GDP per capita), teacher training
#> 611 World Bank: Share of GDP for education expenditures on technical/vocational education (%)
#> 612 World Bank: Public education expenditure per student (% of GDP per capita), technical/vocational education
#> 613 Total General Allocation Grant/DAU (in IDR)
#> 614 (Financing) - Does the country spend 4-5% of GDP or 15-20% of public expenditures on education spending?
#> 615 (De Facto) Average principal salary as percent of GDP per capita
#> 616 (De Jure) Average starting public-school teacher salary as percent of GDP per capita
#> 617 Public Expenditure on Education (% GDP)
#> 618 Public spending on education, primary (% of GDP)
#> 619 Government expenditure per student, primary (% of GDP per capita)
#> 620 Public spending on education, secondary (% of GDP)
#> 621 Government expenditure per student, secondary (% of GDP per capita)
#> 622 Public spending on education, tertiary (% of GDP)
#> 623 Government expenditure per student, tertiary (% of GDP per capita)
#> 624 Government expenditure on education, total (% of GDP)
#> 625 Rail traffic (km per million US$ GDP)
#> 626 Maternal mortality ratio (modeled estimate, per 100,000 live births)
#> 627 Current health expenditure (% of GDP)
#> 628 Domestic general government health expenditure (% of GDP)
#> 629 Public Expenditure on Health (% GDP)
#> 630 Capital health expenditure (% of GDP)
#> 631 Health expenditure, private (% of GDP)
#> 632 Health expenditure, public (% of GDP)
#> 633 Health expenditure, total (% of GDP)
#> 634 GDP per person employed (constant 2021 PPP $)
#> 635 GDP per person employed (annual % growth)
#> 636 GDP per person employed, index (1980 = 100)
#> 637 Classification of national industry
#> 638 Classification of household consumption
#> 639 Finance Indicator based on PARIS21 indicators on SDG 17.18.3 & SDG 17.19.1
#> 640 Trade (% of GDP, PPP)
#> 641 Merchandise trade (% of GDP)
#> 642 Trade in goods (% of goods GDP)
#> 643 Government expenditure on pre-primary education, constant PPP$ (millions)
#> 644 Government expenditure on primary education, constant PPP$ (millions)
#> 645 Government expenditure on lower secondary education, constant PPP$ (millions)
#> 646 Government expenditure on secondary education, constant PPP$ (millions)
#> 647 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant PPP$ (millions)
#> 648 Government expenditure on upper secondary education, constant PPP$ (millions)
#> 649 Government expenditure on post-secondary non-tertiary education, constant PPP$ (millions)
#> 650 Government expenditure on tertiary education, constant PPP$ (millions)
#> 651 Government expenditure on education, constant PPP$ (millions)
#> 652 Government expenditure on education not specified by level, constant PPP$ (millions)
#> 653 Government expenditure on pre-primary education, constant US$ (millions)
#> 654 Government expenditure on primary education, constant US$ (millions)
#> 655 Government expenditure on lower secondary education, constant US$ (millions)
#> 656 Government expenditure on secondary education, constant US$ (millions)
#> 657 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant US$ (millions)
#> 658 Government expenditure on upper secondary education, constant US$ (millions)
#> 659 Government expenditure on post-secondary non-tertiary education, constant US$ (millions)
#> 660 Government expenditure on tertiary education, constant US$ (millions)
#> 661 Government expenditure on education, constant US$ (millions)
#> 662 Government expenditure on education not specified by level, constant US$ (millions)
#> 663 Government expenditure on pre-primary education as % of GDP (%)
#> 664 Government expenditure on primary education as % of GDP (%)
#> 665 Government expenditure on lower secondary education as a percentage of GDP (%)
#> 666 Government expenditure on secondary education as % of GDP (%)
#> 667 Government expenditure on secondary and post-secondary non-tertiary vocational education as % of GDP (%)
#> 668 Government expenditure on upper secondary education as a percentage of GDP (%)
#> 669 Government expenditure on post-secondary non-tertiary education as % of GDP (%)
#> 670 Government expenditure on tertiary education as % of GDP (%)
#> 671 Initial government funding per pre-primary student as a percentage of GDP per capita
#> 672 Initial government funding per primary student as a percentage of GDP per capita
#> 673 Initial household funding per primary student as a percentage of GDP per capita
#> 674 Initial government funding per lower secondary student as a percentage of GDP per capita
#> 675 Initial government funding per secondary student as a percentage of GDP per capita
#> 676 Initial household funding per secondary student as a percentage of GDP per capita
#> 677 Initial government funding per upper secondary student as a percentage of GDP per capita
#> 678 Initial government funding per tertiary student as a percentage of GDP per capita
#> 679 Initial household funding per tertiary student as a percentage of GDP per capita
#> unit source_id source_value
#> 1 <NA> 37 LAC Equity Lab
#> 2 <NA> 37 LAC Equity Lab
#> 3 <NA> 37 LAC Equity Lab
#> 4 <NA> 37 LAC Equity Lab
#> 5 <NA> 2 World Development Indicators
#> 6 <NA> 57 WDI Database Archives
#> 7 <NA> 57 WDI Database Archives
#> 8 <NA> 57 WDI Database Archives
#> 9 <NA> 57 WDI Database Archives
#> 10 <NA> 64 Worldwide Bureaucracy Indicators
#> 11 <NA> 57 WDI Database Archives
#> 12 <NA> 57 WDI Database Archives
#> 13 <NA> 2 World Development Indicators
#> 14 <NA> 2 World Development Indicators
#> 15 <NA> 57 WDI Database Archives
#> 16 <NA> 57 WDI Database Archives
#> 17 <NA> 11 Africa Development Indicators
#> 18 <NA> 11 Africa Development Indicators
#> 19 <NA> 11 Africa Development Indicators
#> 20 <NA> 57 WDI Database Archives
#> 21 <NA> 11 Africa Development Indicators
#> 22 <NA> 11 Africa Development Indicators
#> 23 <NA> 57 WDI Database Archives
#> 24 <NA> 57 WDI Database Archives
#> 25 <NA> 2 World Development Indicators
#> 26 <NA> 11 Africa Development Indicators
#> 27 <NA> 2 World Development Indicators
#> 28 <NA> 11 Africa Development Indicators
#> 29 <NA> 87 Country Climate and Development Report (CCDR)
#> 30 <NA> 87 Country Climate and Development Report (CCDR)
#> 31 <NA> 87 Country Climate and Development Report (CCDR)
#> 32 <NA> 87 Country Climate and Development Report (CCDR)
#> 33 <NA> 87 Country Climate and Development Report (CCDR)
#> 34 <NA> 87 Country Climate and Development Report (CCDR)
#> 35 <NA> 87 Country Climate and Development Report (CCDR)
#> 36 <NA> 87 Country Climate and Development Report (CCDR)
#> 37 <NA> 87 Country Climate and Development Report (CCDR)
#> 38 <NA> 87 Country Climate and Development Report (CCDR)
#> 39 <NA> 57 WDI Database Archives
#> 40 <NA> 2 World Development Indicators
#> 41 <NA> 2 World Development Indicators
#> 42 <NA> 20 Quarterly Public Sector Debt
#> 43 <NA> 20 Quarterly Public Sector Debt
#> 44 <NA> 20 Quarterly Public Sector Debt
#> 45 <NA> 20 Quarterly Public Sector Debt
#> 46 <NA> 20 Quarterly Public Sector Debt
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#> 93 <NA> 20 Quarterly Public Sector Debt
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#> 110 <NA> 20 Quarterly Public Sector Debt
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#> 113 <NA> 20 Quarterly Public Sector Debt
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#> 115 <NA> 20 Quarterly Public Sector Debt
#> 116 <NA> 20 Quarterly Public Sector Debt
#> 117 <NA> 20 Quarterly Public Sector Debt
#> 118 <NA> 20 Quarterly Public Sector Debt
#> 119 <NA> 20 Quarterly Public Sector Debt
#> 120 <NA> 20 Quarterly Public Sector Debt
#> 121 <NA> 20 Quarterly Public Sector Debt
#> 122 <NA> 20 Quarterly Public Sector Debt
#> 123 <NA> 20 Quarterly Public Sector Debt
#> 124 <NA> 20 Quarterly Public Sector Debt
#> 125 <NA> 20 Quarterly Public Sector Debt
#> 126 <NA> 20 Quarterly Public Sector Debt
#> 127 <NA> 20 Quarterly Public Sector Debt
#> 128 <NA> 20 Quarterly Public Sector Debt
#> 129 <NA> 20 Quarterly Public Sector Debt
#> 130 <NA> 20 Quarterly Public Sector Debt
#> 131 <NA> 20 Quarterly Public Sector Debt
#> 132 <NA> 20 Quarterly Public Sector Debt
#> 133 <NA> 20 Quarterly Public Sector Debt
#> 134 <NA> 20 Quarterly Public Sector Debt
#> 135 <NA> 20 Quarterly Public Sector Debt
#> 136 <NA> 20 Quarterly Public Sector Debt
#> 137 <NA> 20 Quarterly Public Sector Debt
#> 138 <NA> 20 Quarterly Public Sector Debt
#> 139 <NA> 20 Quarterly Public Sector Debt
#> 140 <NA> 20 Quarterly Public Sector Debt
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#> 142 <NA> 20 Quarterly Public Sector Debt
#> 143 <NA> 20 Quarterly Public Sector Debt
#> 144 <NA> 20 Quarterly Public Sector Debt
#> 145 <NA> 20 Quarterly Public Sector Debt
#> 146 <NA> 20 Quarterly Public Sector Debt
#> 147 <NA> 20 Quarterly Public Sector Debt
#> 148 <NA> 20 Quarterly Public Sector Debt
#> 149 <NA> 20 Quarterly Public Sector Debt
#> 150 <NA> 20 Quarterly Public Sector Debt
#> 151 <NA> 20 Quarterly Public Sector Debt
#> 152 <NA> 20 Quarterly Public Sector Debt
#> 153 <NA> 20 Quarterly Public Sector Debt
#> 154 <NA> 20 Quarterly Public Sector Debt
#> 155 <NA> 20 Quarterly Public Sector Debt
#> 156 <NA> 20 Quarterly Public Sector Debt
#> 157 <NA> 20 Quarterly Public Sector Debt
#> 158 <NA> 20 Quarterly Public Sector Debt
#> 159 <NA> 20 Quarterly Public Sector Debt
#> 160 <NA> 20 Quarterly Public Sector Debt
#> 161 <NA> 20 Quarterly Public Sector Debt
#> 162 <NA> 20 Quarterly Public Sector Debt
#> 163 <NA> 20 Quarterly Public Sector Debt
#> 164 <NA> 20 Quarterly Public Sector Debt
#> 165 <NA> 20 Quarterly Public Sector Debt
#> 166 <NA> 20 Quarterly Public Sector Debt
#> 167 <NA> 20 Quarterly Public Sector Debt
#> 168 <NA> 20 Quarterly Public Sector Debt
#> 169 <NA> 20 Quarterly Public Sector Debt
#> 170 <NA> 20 Quarterly Public Sector Debt
#> 171 <NA> 20 Quarterly Public Sector Debt
#> 172 <NA> 20 Quarterly Public Sector Debt
#> 173 <NA> 20 Quarterly Public Sector Debt
#> 174 <NA> 20 Quarterly Public Sector Debt
#> 175 <NA> 20 Quarterly Public Sector Debt
#> 176 <NA> 20 Quarterly Public Sector Debt
#> 177 <NA> 20 Quarterly Public Sector Debt
#> 178 <NA> 20 Quarterly Public Sector Debt
#> 179 <NA> 20 Quarterly Public Sector Debt
#> 180 <NA> 20 Quarterly Public Sector Debt
#> 181 <NA> 20 Quarterly Public Sector Debt
#> 182 <NA> 20 Quarterly Public Sector Debt
#> 183 <NA> 20 Quarterly Public Sector Debt
#> 184 <NA> 20 Quarterly Public Sector Debt
#> 185 <NA> 20 Quarterly Public Sector Debt
#> 186 <NA> 20 Quarterly Public Sector Debt
#> 187 <NA> 20 Quarterly Public Sector Debt
#> 188 <NA> 20 Quarterly Public Sector Debt
#> 189 <NA> 20 Quarterly Public Sector Debt
#> 190 <NA> 20 Quarterly Public Sector Debt
#> 191 <NA> 20 Quarterly Public Sector Debt
#> 192 <NA> 20 Quarterly Public Sector Debt
#> 193 <NA> 20 Quarterly Public Sector Debt
#> 194 <NA> 20 Quarterly Public Sector Debt
#> 195 <NA> 20 Quarterly Public Sector Debt
#> 196 <NA> 20 Quarterly Public Sector Debt
#> 197 <NA> 20 Quarterly Public Sector Debt
#> 198 <NA> 20 Quarterly Public Sector Debt
#> 199 <NA> 20 Quarterly Public Sector Debt
#> 200 <NA> 20 Quarterly Public Sector Debt
#> 201 <NA> 20 Quarterly Public Sector Debt
#> 202 <NA> 20 Quarterly Public Sector Debt
#> 203 <NA> 20 Quarterly Public Sector Debt
#> 204 <NA> 20 Quarterly Public Sector Debt
#> 205 <NA> 20 Quarterly Public Sector Debt
#> 206 <NA> 20 Quarterly Public Sector Debt
#> 207 <NA> 20 Quarterly Public Sector Debt
#> 208 <NA> 20 Quarterly Public Sector Debt
#> 209 <NA> 20 Quarterly Public Sector Debt
#> 210 <NA> 20 Quarterly Public Sector Debt
#> 211 <NA> 20 Quarterly Public Sector Debt
#> 212 <NA> 11 Africa Development Indicators
#> 213 <NA> 11 Africa Development Indicators
#> 214 <NA> 11 Africa Development Indicators
#> 215 <NA> 11 Africa Development Indicators
#> 216 <NA> 11 Africa Development Indicators
#> 217 <NA> 11 Africa Development Indicators
#> 218 <NA> 11 Africa Development Indicators
#> 219 <NA> 11 Africa Development Indicators
#> 220 <NA> 11 Africa Development Indicators
#> 221 <NA> 11 Africa Development Indicators
#> 222 <NA> 60 Economic Fitness
#> 223 <NA> 70 Economic Fitness 2
#> 224 <NA> 2 World Development Indicators
#> 225 <NA> 57 WDI Database Archives
#> 226 <NA> 57 WDI Database Archives
#> 227 <NA> 2 World Development Indicators
#> 228 <NA> 2 World Development Indicators
#> 229 <NA> 2 World Development Indicators
#> 230 <NA> 57 WDI Database Archives
#> 231 <NA> 57 WDI Database Archives
#> 232 <NA> 57 WDI Database Archives
#> 233 <NA> 57 WDI Database Archives
#> 234 <NA> 57 WDI Database Archives
#> 235 <NA> 2 World Development Indicators
#> 236 <NA> 2 World Development Indicators
#> 237 <NA> 2 World Development Indicators
#> 238 <NA> 57 WDI Database Archives
#> 239 <NA> 57 WDI Database Archives
#> 240 <NA> 2 World Development Indicators
#> 241 <NA> 11 Africa Development Indicators
#> 242 <NA> 11 Africa Development Indicators
#> 243 <NA> 2 World Development Indicators
#> 244 <NA> 2 World Development Indicators
#> 245 <NA> 57 WDI Database Archives
#> 246 <NA> 57 WDI Database Archives
#> 247 <NA> 57 WDI Database Archives
#> 248 <NA> 57 WDI Database Archives
#> 249 <NA> 57 WDI Database Archives
#> 250 <NA> 11 Africa Development Indicators
#> 251 <NA> 2 World Development Indicators
#> 252 <NA> 2 World Development Indicators
#> 253 <NA> 2 World Development Indicators
#> 254 <NA> 2 World Development Indicators
#> 255 <NA> 57 WDI Database Archives
#> 256 <NA> 2 World Development Indicators
#> 257 <NA> 57 WDI Database Archives
#> 258 <NA> 57 WDI Database Archives
#> 259 <NA> 57 WDI Database Archives
#> 260 <NA> 57 WDI Database Archives
#> 261 <NA> 57 WDI Database Archives
#> 262 <NA> 57 WDI Database Archives
#> 263 <NA> 57 WDI Database Archives
#> 264 <NA> 57 WDI Database Archives
#> 265 <NA> 57 WDI Database Archives
#> 266 <NA> 57 WDI Database Archives
#> 267 <NA> 57 WDI Database Archives
#> 268 <NA> 57 WDI Database Archives
#> 269 <NA> 57 WDI Database Archives
#> 270 <NA> 57 WDI Database Archives
#> 271 <NA> 11 Africa Development Indicators
#> 272 <NA> 57 WDI Database Archives
#> 273 <NA> 57 WDI Database Archives
#> 274 <NA> 57 WDI Database Archives
#> 275 <NA> 57 WDI Database Archives
#> 276 <NA> 57 WDI Database Archives
#> 277 <NA> 57 WDI Database Archives
#> 278 <NA> 57 WDI Database Archives
#> 279 <NA> 57 WDI Database Archives
#> 280 <NA> 57 WDI Database Archives
#> 281 <NA> 57 WDI Database Archives
#> 282 <NA> 57 WDI Database Archives
#> 283 <NA> 2 World Development Indicators
#> 284 <NA> 57 WDI Database Archives
#> 285 <NA> 57 WDI Database Archives
#> 286 <NA> 2 World Development Indicators
#> 287 <NA> 57 WDI Database Archives
#> 288 <NA> 2 World Development Indicators
#> 289 <NA> 57 WDI Database Archives
#> 290 <NA> 57 WDI Database Archives
#> 291 <NA> 2 World Development Indicators
#> 292 <NA> 2 World Development Indicators
#> 293 <NA> 2 World Development Indicators
#> 294 <NA> 2 World Development Indicators
#> 295 <NA> 2 World Development Indicators
#> 296 <NA> 2 World Development Indicators
#> 297 <NA> 32 Global Financial Development
#> 298 <NA> 32 Global Financial Development
#> 299 <NA> 32 Global Financial Development
#> 300 <NA> 32 Global Financial Development
#> 301 <NA> 32 Global Financial Development
#> 302 <NA> 32 Global Financial Development
#> 303 <NA> 32 Global Financial Development
#> 304 <NA> 32 Global Financial Development
#> 305 <NA> 32 Global Financial Development
#> 306 <NA> 32 Global Financial Development
#> 307 <NA> 32 Global Financial Development
#> 308 <NA> 32 Global Financial Development
#> 309 <NA> 32 Global Financial Development
#> 310 <NA> 32 Global Financial Development
#> 311 <NA> 32 Global Financial Development
#> 312 <NA> 32 Global Financial Development
#> 313 <NA> 32 Global Financial Development
#> 314 <NA> 32 Global Financial Development
#> 315 <NA> 32 Global Financial Development
#> 316 <NA> 32 Global Financial Development
#> 317 <NA> 32 Global Financial Development
#> 318 <NA> 32 Global Financial Development
#> 319 <NA> 32 Global Financial Development
#> 320 <NA> 32 Global Financial Development
#> 321 <NA> 32 Global Financial Development
#> 322 <NA> 32 Global Financial Development
#> 323 <NA> 32 Global Financial Development
#> 324 <NA> 32 Global Financial Development
#> 325 <NA> 32 Global Financial Development
#> 326 <NA> 32 Global Financial Development
#> 327 <NA> 32 Global Financial Development
#> 328 <NA> 32 Global Financial Development
#> 329 <NA> 32 Global Financial Development
#> 330 <NA> 32 Global Financial Development
#> 331 <NA> 32 Global Financial Development
#> 332 <NA> 32 Global Financial Development
#> 333 <NA> 13 Enterprise Surveys
#> 334 <NA> 13 Enterprise Surveys
#> 335 <NA> 11 Africa Development Indicators
#> 336 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 337 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 338 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 339 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 340 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 341 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 342 <NA> 57 WDI Database Archives
#> 343 <NA> 57 WDI Database Archives
#> 344 <NA> 11 Africa Development Indicators
#> 345 <NA> 11 Africa Development Indicators
#> 346 <NA> 2 World Development Indicators
#> 347 <NA> 45 Indonesia Database for Policy and Economic Research
#> 348 <NA> 45 Indonesia Database for Policy and Economic Research
#> 349 <NA> 45 Indonesia Database for Policy and Economic Research
#> 350 <NA> 45 Indonesia Database for Policy and Economic Research
#> 351 <NA> 45 Indonesia Database for Policy and Economic Research
#> 352 <NA> 45 Indonesia Database for Policy and Economic Research
#> 353 <NA> 45 Indonesia Database for Policy and Economic Research
#> 354 <NA> 45 Indonesia Database for Policy and Economic Research
#> 355 <NA> 45 Indonesia Database for Policy and Economic Research
#> 356 <NA> 45 Indonesia Database for Policy and Economic Research
#> 357 <NA> 45 Indonesia Database for Policy and Economic Research
#> 358 <NA> 45 Indonesia Database for Policy and Economic Research
#> 359 <NA> 45 Indonesia Database for Policy and Economic Research
#> 360 <NA> 45 Indonesia Database for Policy and Economic Research
#> 361 <NA> 45 Indonesia Database for Policy and Economic Research
#> 362 <NA> 45 Indonesia Database for Policy and Economic Research
#> 363 <NA> 45 Indonesia Database for Policy and Economic Research
#> 364 <NA> 45 Indonesia Database for Policy and Economic Research
#> 365 <NA> 45 Indonesia Database for Policy and Economic Research
#> 366 <NA> 45 Indonesia Database for Policy and Economic Research
#> 367 <NA> 45 Indonesia Database for Policy and Economic Research
#> 368 <NA> 45 Indonesia Database for Policy and Economic Research
#> 369 <NA> 45 Indonesia Database for Policy and Economic Research
#> 370 <NA> 45 Indonesia Database for Policy and Economic Research
#> 371 <NA> 45 Indonesia Database for Policy and Economic Research
#> 372 <NA> 45 Indonesia Database for Policy and Economic Research
#> 373 <NA> 45 Indonesia Database for Policy and Economic Research
#> 374 <NA> 45 Indonesia Database for Policy and Economic Research
#> 375 <NA> 45 Indonesia Database for Policy and Economic Research
#> 376 <NA> 45 Indonesia Database for Policy and Economic Research
#> 377 <NA> 45 Indonesia Database for Policy and Economic Research
#> 378 <NA> 45 Indonesia Database for Policy and Economic Research
#> 379 <NA> 45 Indonesia Database for Policy and Economic Research
#> 380 <NA> 45 Indonesia Database for Policy and Economic Research
#> 381 <NA> 45 Indonesia Database for Policy and Economic Research
#> 382 <NA> 45 Indonesia Database for Policy and Economic Research
#> 383 <NA> 45 Indonesia Database for Policy and Economic Research
#> 384 <NA> 45 Indonesia Database for Policy and Economic Research
#> 385 <NA> 45 Indonesia Database for Policy and Economic Research
#> 386 <NA> 45 Indonesia Database for Policy and Economic Research
#> 387 <NA> 45 Indonesia Database for Policy and Economic Research
#> 388 <NA> 45 Indonesia Database for Policy and Economic Research
#> 389 <NA> 45 Indonesia Database for Policy and Economic Research
#> 390 <NA> 45 Indonesia Database for Policy and Economic Research
#> 391 <NA> 45 Indonesia Database for Policy and Economic Research
#> 392 <NA> 45 Indonesia Database for Policy and Economic Research
#> 393 <NA> 45 Indonesia Database for Policy and Economic Research
#> 394 <NA> 45 Indonesia Database for Policy and Economic Research
#> 395 <NA> 45 Indonesia Database for Policy and Economic Research
#> 396 <NA> 45 Indonesia Database for Policy and Economic Research
#> 397 <NA> 45 Indonesia Database for Policy and Economic Research
#> 398 <NA> 45 Indonesia Database for Policy and Economic Research
#> 399 <NA> 45 Indonesia Database for Policy and Economic Research
#> 400 <NA> 45 Indonesia Database for Policy and Economic Research
#> 401 <NA> 45 Indonesia Database for Policy and Economic Research
#> 402 <NA> 45 Indonesia Database for Policy and Economic Research
#> 403 <NA> 45 Indonesia Database for Policy and Economic Research
#> 404 <NA> 45 Indonesia Database for Policy and Economic Research
#> 405 <NA> 2 World Development Indicators
#> 406 <NA> 2 World Development Indicators
#> 407 <NA> 2 World Development Indicators
#> 408 <NA> 57 WDI Database Archives
#> 409 <NA> 2 World Development Indicators
#> 410 <NA> 2 World Development Indicators
#> 411 <NA> 2 World Development Indicators
#> 412 <NA> 57 WDI Database Archives
#> 413 <NA> 57 WDI Database Archives
#> 414 <NA> 2 World Development Indicators
#> 415 <NA> 2 World Development Indicators
#> 416 <NA> 2 World Development Indicators
#> 417 <NA> 45 Indonesia Database for Policy and Economic Research
#> 418 <NA> 45 Indonesia Database for Policy and Economic Research
#> 419 <NA> 45 Indonesia Database for Policy and Economic Research
#> 420 <NA> 45 Indonesia Database for Policy and Economic Research
#> 421 <NA> 45 Indonesia Database for Policy and Economic Research
#> 422 <NA> 45 Indonesia Database for Policy and Economic Research
#> 423 <NA> 45 Indonesia Database for Policy and Economic Research
#> 424 <NA> 45 Indonesia Database for Policy and Economic Research
#> 425 <NA> 2 World Development Indicators
#> 426 <NA> 11 Africa Development Indicators
#> 427 <NA> 45 Indonesia Database for Policy and Economic Research
#> 428 <NA> 45 Indonesia Database for Policy and Economic Research
#> 429 <NA> 2 World Development Indicators
#> 430 <NA> 45 Indonesia Database for Policy and Economic Research
#> 431 <NA> 45 Indonesia Database for Policy and Economic Research
#> 432 <NA> 45 Indonesia Database for Policy and Economic Research
#> 433 <NA> 45 Indonesia Database for Policy and Economic Research
#> 434 <NA> 45 Indonesia Database for Policy and Economic Research
#> 435 <NA> 45 Indonesia Database for Policy and Economic Research
#> 436 <NA> 45 Indonesia Database for Policy and Economic Research
#> 437 <NA> 57 WDI Database Archives
#> 438 <NA> 2 World Development Indicators
#> 439 <NA> 2 World Development Indicators
#> 440 <NA> 11 Africa Development Indicators
#> 441 <NA> 57 WDI Database Archives
#> 442 <NA> 2 World Development Indicators
#> 443 <NA> 2 World Development Indicators
#> 444 <NA> 57 WDI Database Archives
#> 445 <NA> 57 WDI Database Archives
#> 446 <NA> 57 WDI Database Archives
#> 447 <NA> 11 Africa Development Indicators
#> 448 <NA> 11 Africa Development Indicators
#> 449 <NA> 2 World Development Indicators
#> 450 <NA> 2 World Development Indicators
#> 451 <NA> 57 WDI Database Archives
#> 452 <NA> 2 World Development Indicators
#> 453 <NA> 11 Africa Development Indicators
#> 454 <NA> 11 Africa Development Indicators
#> 455 <NA> 11 Africa Development Indicators
#> 456 <NA> 57 WDI Database Archives
#> 457 <NA> 57 WDI Database Archives
#> 458 <NA> 2 World Development Indicators
#> 459 <NA> 59 Wealth Accounts
#> 460 <NA> 59 Wealth Accounts
#> 461 <NA> 59 Wealth Accounts
#> 462 <NA> 59 Wealth Accounts
#> 463 <NA> 59 Wealth Accounts
#> 464 <NA> 59 Wealth Accounts
#> 465 <NA> 59 Wealth Accounts
#> 466 <NA> 59 Wealth Accounts
#> 467 <NA> 59 Wealth Accounts
#> 468 <NA> 59 Wealth Accounts
#> 469 <NA> 59 Wealth Accounts
#> 470 <NA> 59 Wealth Accounts
#> 471 <NA> 59 Wealth Accounts
#> 472 <NA> 59 Wealth Accounts
#> 473 <NA> 59 Wealth Accounts
#> 474 <NA> 59 Wealth Accounts
#> 475 <NA> 59 Wealth Accounts
#> 476 <NA> 59 Wealth Accounts
#> 477 <NA> 59 Wealth Accounts
#> 478 <NA> 59 Wealth Accounts
#> 479 <NA> 59 Wealth Accounts
#> 480 <NA> 59 Wealth Accounts
#> 481 <NA> 59 Wealth Accounts
#> 482 <NA> 59 Wealth Accounts
#> 483 <NA> 59 Wealth Accounts
#> 484 <NA> 59 Wealth Accounts
#> 485 <NA> 59 Wealth Accounts
#> 486 <NA> 59 Wealth Accounts
#> 487 <NA> 59 Wealth Accounts
#> 488 <NA> 59 Wealth Accounts
#> 489 <NA> 19 Millennium Development Goals
#> 490 <NA> 2 World Development Indicators
#> 491 <NA> 57 WDI Database Archives
#> 492 <NA> 2 World Development Indicators
#> 493 <NA> 2 World Development Indicators
#> 494 <NA> 2 World Development Indicators
#> 495 <NA> 57 WDI Database Archives
#> 496 <NA> 2 World Development Indicators
#> 497 <NA> 11 Africa Development Indicators
#> 498 <NA> 2 World Development Indicators
#> 499 <NA> 2 World Development Indicators
#> 500 <NA> 2 World Development Indicators
#> 501 <NA> 2 World Development Indicators
#> 502 <NA> 2 World Development Indicators
#> 503 <NA> 57 WDI Database Archives
#> 504 <NA> 2 World Development Indicators
#> 505 <NA> 57 WDI Database Archives
#> 506 <NA> 2 World Development Indicators
#> 507 <NA> 2 World Development Indicators
#> 508 <NA> 2 World Development Indicators
#> 509 <NA> 11 Africa Development Indicators
#> 510 <NA> 2 World Development Indicators
#> 511 <NA> 2 World Development Indicators
#> 512 <NA> 11 Africa Development Indicators
#> 513 <NA> 57 WDI Database Archives
#> 514 <NA> 2 World Development Indicators
#> 515 <NA> 57 WDI Database Archives
#> 516 <NA> 2 World Development Indicators
#> 517 <NA> 2 World Development Indicators
#> 518 <NA> 57 WDI Database Archives
#> 519 <NA> 57 WDI Database Archives
#> 520 <NA> 2 World Development Indicators
#> 521 <NA> 2 World Development Indicators
#> 522 <NA> 57 WDI Database Archives
#> 523 <NA> 57 WDI Database Archives
#> 524 <NA> 11 Africa Development Indicators
#> 525 <NA> 57 WDI Database Archives
#> 526 <NA> 2 World Development Indicators
#> 527 <NA> 2 World Development Indicators
#> 528 <NA> 2 World Development Indicators
#> 529 <NA> 2 World Development Indicators
#> 530 <NA> 2 World Development Indicators
#> 531 <NA> 2 World Development Indicators
#> 532 <NA> 2 World Development Indicators
#> 533 <NA> 2 World Development Indicators
#> 534 <NA> 57 WDI Database Archives
#> 535 <NA> 11 Africa Development Indicators
#> 536 <NA> 2 World Development Indicators
#> 537 <NA> 2 World Development Indicators
#> 538 <NA> 2 World Development Indicators
#> 539 <NA> 2 World Development Indicators
#> 540 <NA> 11 Africa Development Indicators
#> 541 <NA> 57 WDI Database Archives
#> 542 <NA> 2 World Development Indicators
#> 543 <NA> 57 WDI Database Archives
#> 544 <NA> 2 World Development Indicators
#> 545 <NA> 57 WDI Database Archives
#> 546 <NA> 57 WDI Database Archives
#> 547 <NA> 57 WDI Database Archives
#> 548 <NA> 57 WDI Database Archives
#> 549 <NA> 57 WDI Database Archives
#> 550 <NA> 57 WDI Database Archives
#> 551 <NA> 57 WDI Database Archives
#> 552 <NA> 57 WDI Database Archives
#> 553 <NA> 2 World Development Indicators
#> 554 <NA> 2 World Development Indicators
#> 555 <NA> 2 World Development Indicators
#> 556 <NA> 2 World Development Indicators
#> 557 <NA> 2 World Development Indicators
#> 558 <NA> 27 Global Economic Prospects
#> 559 <NA> 15 Global Economic Monitor
#> 560 <NA> 15 Global Economic Monitor
#> 561 <NA> 15 Global Economic Monitor
#> 562 <NA> 15 Global Economic Monitor
#> 563 <NA> 2 World Development Indicators
#> 564 <NA> 2 World Development Indicators
#> 565 <NA> 57 WDI Database Archives
#> 566 <NA> 57 WDI Database Archives
#> 567 <NA> 2 World Development Indicators
#> 568 <NA> 12 Education Statistics
#> 569 <NA> 12 Education Statistics
#> 570 <NA> 12 Education Statistics
#> 571 <NA> 12 Education Statistics
#> 572 <NA> 12 Education Statistics
#> 573 <NA> 12 Education Statistics
#> 574 <NA> 12 Education Statistics
#> 575 <NA> 12 Education Statistics
#> 576 <NA> 12 Education Statistics
#> 577 <NA> 12 Education Statistics
#> 578 <NA> 12 Education Statistics
#> 579 <NA> 12 Education Statistics
#> 580 <NA> 12 Education Statistics
#> 581 <NA> 12 Education Statistics
#> 582 <NA> 12 Education Statistics
#> 583 <NA> 12 Education Statistics
#> 584 <NA> 12 Education Statistics
#> 585 <NA> 12 Education Statistics
#> 586 <NA> 12 Education Statistics
#> 587 <NA> 12 Education Statistics
#> 588 <NA> 12 Education Statistics
#> 589 <NA> 12 Education Statistics
#> 590 <NA> 12 Education Statistics
#> 591 <NA> 12 Education Statistics
#> 592 <NA> 12 Education Statistics
#> 593 <NA> 12 Education Statistics
#> 594 <NA> 12 Education Statistics
#> 595 <NA> 12 Education Statistics
#> 596 <NA> 12 Education Statistics
#> 597 <NA> 12 Education Statistics
#> 598 <NA> 12 Education Statistics
#> 599 <NA> 12 Education Statistics
#> 600 <NA> 12 Education Statistics
#> 601 <NA> 12 Education Statistics
#> 602 <NA> 12 Education Statistics
#> 603 <NA> 12 Education Statistics
#> 604 <NA> 12 Education Statistics
#> 605 <NA> 12 Education Statistics
#> 606 <NA> 12 Education Statistics
#> 607 <NA> 12 Education Statistics
#> 608 <NA> 12 Education Statistics
#> 609 <NA> 12 Education Statistics
#> 610 <NA> 12 Education Statistics
#> 611 <NA> 12 Education Statistics
#> 612 <NA> 12 Education Statistics
#> 613 <NA> 45 Indonesia Database for Policy and Economic Research
#> 614 <NA> 84 Education Policy
#> 615 <NA> 12 Education Statistics
#> 616 <NA> 12 Education Statistics
#> 617 <NA> 57 WDI Database Archives
#> 618 <NA> 57 WDI Database Archives
#> 619 <NA> 2 World Development Indicators
#> 620 <NA> 57 WDI Database Archives
#> 621 <NA> 2 World Development Indicators
#> 622 <NA> 57 WDI Database Archives
#> 623 <NA> 2 World Development Indicators
#> 624 <NA> 2 World Development Indicators
#> 625 <NA> 57 WDI Database Archives
#> 626 <NA> 2 World Development Indicators
#> 627 <NA> 2 World Development Indicators
#> 628 <NA> 2 World Development Indicators
#> 629 <NA> 57 WDI Database Archives
#> 630 <NA> 16 Health Nutrition and Population Statistics
#> 631 <NA> 57 WDI Database Archives
#> 632 <NA> 57 WDI Database Archives
#> 633 <NA> 57 WDI Database Archives
#> 634 <NA> 2 World Development Indicators
#> 635 <NA> 11 Africa Development Indicators
#> 636 <NA> 57 WDI Database Archives
#> 637 <NA> 83 Statistical Performance Indicators (SPI)
#> 638 <NA> 83 Statistical Performance Indicators (SPI)
#> 639 <NA> 83 Statistical Performance Indicators (SPI)
#> 640 <NA> 57 WDI Database Archives
#> 641 <NA> 2 World Development Indicators
#> 642 <NA> 57 WDI Database Archives
#> 643 <NA> 12 Education Statistics
#> 644 <NA> 12 Education Statistics
#> 645 <NA> 12 Education Statistics
#> 646 <NA> 12 Education Statistics
#> 647 <NA> 12 Education Statistics
#> 648 <NA> 12 Education Statistics
#> 649 <NA> 12 Education Statistics
#> 650 <NA> 12 Education Statistics
#> 651 <NA> 12 Education Statistics
#> 652 <NA> 12 Education Statistics
#> 653 <NA> 12 Education Statistics
#> 654 <NA> 12 Education Statistics
#> 655 <NA> 12 Education Statistics
#> 656 <NA> 12 Education Statistics
#> 657 <NA> 12 Education Statistics
#> 658 <NA> 12 Education Statistics
#> 659 <NA> 12 Education Statistics
#> 660 <NA> 12 Education Statistics
#> 661 <NA> 12 Education Statistics
#> 662 <NA> 12 Education Statistics
#> 663 <NA> 12 Education Statistics
#> 664 <NA> 12 Education Statistics
#> 665 <NA> 12 Education Statistics
#> 666 <NA> 12 Education Statistics
#> 667 <NA> 12 Education Statistics
#> 668 <NA> 12 Education Statistics
#> 669 <NA> 12 Education Statistics
#> 670 <NA> 12 Education Statistics
#> 671 <NA> 12 Education Statistics
#> 672 <NA> 12 Education Statistics
#> 673 <NA> 12 Education Statistics
#> 674 <NA> 12 Education Statistics
#> 675 <NA> 12 Education Statistics
#> 676 <NA> 12 Education Statistics
#> 677 <NA> 12 Education Statistics
#> 678 <NA> 12 Education Statistics
#> 679 <NA> 12 Education Statistics
#> source_note
#> 1 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.
#> 2 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.
#> 3 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.
#> 4 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.
#> 5 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.
#> 6 <NA>
#> 7 <NA>
#> 8 <NA>
#> 9 <NA>
#> 10 <NA>
#> 11 <NA>
#> 12 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.
#> 13 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.
#> 14 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.
#> 15 <NA>
#> 16 <NA>
#> 17 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.
#> 18 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.
#> 19 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.
#> 20 <NA>
#> 21 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.
#> 22 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.
#> 23 <NA>
#> 24 <NA>
#> 25 Foreign direct investment is the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net inflows (new investment inflows less disinvestment) in the reporting economy from foreign investors, and is divided by GDP.
#> 26 Migrants’ remittances are defined as the sum of worker’s remittances,
#> 27 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.
#> 28 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.
#> 29 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.
#> 30 <NA>
#> 31 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.
#> 32 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.
#> 33 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.
#> 34 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.
#> 35 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.
#> 36 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.
#> 37 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.
#> 38 <NA>
#> 39 <NA>
#> 40 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.
#> 41 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.
#> 42 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 43 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 44 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 45 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 46 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 47 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 48 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 49 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 50 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 51 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 52 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 53 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 54 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 55 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 56 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 57 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 58 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 59 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 60 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 61 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 62 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 63 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 64 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 65 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 66 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 67 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 68 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 69 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 70 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 71 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 72 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 73 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 74 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 75 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 76 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 77 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 78 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 79 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 80 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 81 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 82 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 83 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 84 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 85 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 86 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 87 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 88 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 89 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 90 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 91 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 92 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 93 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 94 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 95 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 96 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 97 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 98 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 99 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 100 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 101 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 102 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 103 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 104 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 105 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 106 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 107 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 108 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 109 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 110 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 111 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 112 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 113 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 114 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 115 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 116 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 117 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 118 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 119 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 120 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 121 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 122 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 123 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 124 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 125 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 126 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 127 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 128 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 129 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 130 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 131 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 132 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 133 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 134 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 135 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 136 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 137 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 138 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 139 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 140 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 141 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 142 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 143 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 144 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 145 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 146 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 147 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 148 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 149 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 150 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 151 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 152 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 153 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 154 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 155 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 156 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 157 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 158 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 159 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 160 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 161 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 162 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 163 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 164 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 165 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 166 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 167 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 168 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 169 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 170 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 171 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 172 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 173 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 174 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 175 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 176 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 177 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 178 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 179 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 180 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 181 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 182 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 183 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 184 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 185 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 186 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 187 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 188 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 189 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 190 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 191 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 192 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 193 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 194 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 195 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 196 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 197 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 198 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 199 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 200 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 201 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 202 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 203 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 204 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 205 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 206 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 207 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 208 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 209 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 210 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 211 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 212 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.
#> 213 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.
#> 214 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.
#> 215 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.
#> 216 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.
#> 217 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.
#> 218 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.
#> 219 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.
#> 220 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).
#> 221 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.
#> 222 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.
#> 223 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.
#> 224 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.
#> 225 <NA>
#> 226 <NA>
#> 227 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.
#> 228 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.
#> 229 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.
#> 230 <NA>
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#> 232 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.
#> 233 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.
#> 234 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.
#> 235 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$.
#> 236 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 $.
#> 237 Water productivity is calculated as GDP in constant prices divided by annual total water withdrawal.
#> 238 <NA>
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#> 240 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.
#> 241 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.
#> 242 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.
#> 243 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.
#> 244 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.
#> 245 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).
#> 246 <NA>
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#> 250 Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator.
#> 251 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.
#> 252 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.
#> 253 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.
#> 254 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.
#> 255 <NA>
#> 256 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.
#> 257 <NA>
#> 258 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.
#> 259 <NA>
#> 260 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).
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#> 266 <NA>
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#> 270 <NA>
#> 271 Central government revenues, excluding all grants.
#> 272 <NA>
#> 273 <NA>
#> 274 <NA>
#> 275 <NA>
#> 276 <NA>
#> 277 <NA>
#> 278 <NA>
#> 279 <NA>
#> 280 <NA>
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#> 282 <NA>
#> 283 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.
#> 284 <NA>
#> 285 <NA>
#> 286 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.
#> 287 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).
#> 288 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.
#> 289 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.
#> 290 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.
#> 291 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.
#> 292 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.
#> 293 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.
#> 294 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.
#> 295 Taxes are compulsory, unrequited payments, in cash or in kind, made by institutional\n\n\n\n\nunits to government units. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 296 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.
#> 297 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).
#> 298 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).
#> 299 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).
#> 300 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.
#> 301 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).
#> 302 Data taken from a variety of sources such as Investment Company Institute and national sources.
#> 303 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).
#> 304 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.
#> 305 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.
#> 306 Data taken from a variety of sources such as AXCO and national sources.
#> 307 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)
#> 308 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.
#> 309 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.
#> 310 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).
#> 311 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).
#> 312 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.
#> 313 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.
#> 314 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.
#> 315 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.
#> 316 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.
#> 317 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).
#> 318 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).
#> 319 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).
#> 320 <NA>
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#> 323 <NA>
#> 324 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).
#> 325 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).
#> 326 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.
#> 327 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.
#> 328 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.
#> 329 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.
#> 330 Ratios calculated by source.
#> 331 GDP data provided by IFS and converted into USD using IFS exchange rates.
#> 332 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.
#> 333 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.
#> 334 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.
#> 335 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.
#> 336 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.
#> 337 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.
#> 338 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.
#> 339 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.
#> 340 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.
#> 341 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.
#> 342 <NA>
#> 343 <NA>
#> 344 Telecommunications revenue is the revenue from the provision of telecommunications services such as fixed-line, mobile, and data.
#> 345 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.
#> 346 Military expenditure by country as percentage of gross domestic product
#> 347 <NA>
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#> 353 <NA>
#> 354 <NA>
#> 355 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.
#> 356 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.
#> 357 <NA>
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#> 377 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).
#> 378 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).
#> 379 <NA>
#> 380 <NA>
#> 381 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.
#> 382 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.
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#> 405 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.
#> 406 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.
#> 407 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.
#> 408 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.
#> 409 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.
#> 410 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.
#> 411 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.
#> 412 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.
#> 413 <NA>
#> 414 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.
#> 415 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.
#> 416 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.
#> 417 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.
#> 418 <NA>
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#> 423 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.
#> 424 <NA>
#> 425 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.
#> 426 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.
#> 427 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.
#> 428 <NA>
#> 429 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.
#> 430 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.
#> 431 <NA>
#> 432 <NA>
#> 433 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.
#> 434 <NA>
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#> 438 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.
#> 439 Imports of goods includes change in the economic ownership of goods from non-residents to\n\n\n\n\nresidents of the compiling economy, irrespective of physical movement of goods across national borders. Imports of services includes services provided by non-residents to residents. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 440 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.
#> 441 <NA>
#> 442 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.
#> 443 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.
#> 444 <NA>
#> 445 <NA>
#> 446 <NA>
#> 447 The growth rate of real per capita GDP in agriculture, expressed at an annual rate.
#> 448 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.
#> 449 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.
#> 450 Manufacturing includes industries classified in ISIC (Rev. 3) major division C and is defined as the physical or chemical transformation of materials or components into new products. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 451 <NA>
#> 452 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.
#> 453 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.
#> 454 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.
#> 455 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.
#> 456 <NA>
#> 457 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.
#> 458 Services industries correspond to ISIC (Rev. 4) divisions 45-99 and includes wholesale and retail trade, repair of motor vehicles, hotels and restaurants, transport, storage and communication, financial intermediation, real estate, renting and business activities, public administration and defence, compulsory social security, education, health and social work, other community, social and personal service activities, private households with employed persons, and extra-territorial organizations and bodies. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 459 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.
#> 460 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.
#> 461 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.
#> 462 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.
#> 463 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.
#> 464 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.
#> 465 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.
#> 466 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.
#> 467 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.
#> 468 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.
#> 469 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.
#> 470 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.
#> 471 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.
#> 472 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.
#> 473 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.
#> 474 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.
#> 475 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.
#> 476 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.
#> 477 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.
#> 478 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.
#> 479 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.
#> 480 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.
#> 481 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.
#> 482 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.
#> 483 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.
#> 484 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.
#> 485 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.
#> 486 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.
#> 487 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.
#> 488 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.
#> 489 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.
#> 490 Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production.
#> 491 <NA>
#> 492 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.
#> 493 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.
#> 494 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).
#> 495 <NA>
#> 496 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).
#> 497 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.
#> 498 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.
#> 499 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.
#> 500 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.
#> 501 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.
#> 502 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.
#> 503 <NA>
#> 504 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.
#> 505 <NA>
#> 506 Forest rents are roundwood harvest times the product of regional prices and a regional rental rate.
#> 507 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.
#> 508 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.
#> 509 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.
#> 510 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.
#> 511 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.
#> 512 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.
#> 513 <NA>
#> 514 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.
#> 515 <NA>
#> 516 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.
#> 517 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.
#> 518 <NA>
#> 519 <NA>
#> 520 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.
#> 521 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.
#> 522 <NA>
#> 523 <NA>
#> 524 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.
#> 525 <NA>
#> 526 Natural gas rents are the difference between the value of natural gas production at regional prices and total costs of production.
#> 527 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.
#> 528 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.
#> 529 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.
#> 530 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.
#> 531 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.
#> 532 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.
#> 533 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.
#> 534 <NA>
#> 535 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.
#> 536 Oil rents are the difference between the value of crude oil production at regional prices and total costs of production.
#> 537 Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.
#> 538 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.
#> 539 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.
#> 540 Gross domestic savings are calculated as the difference between GDP and total consumption. Data are in constant 2000 U.S. dollars.
#> 541 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in constant local currency.
#> 542 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.
#> 543 Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant 2010 U.S. dollars.
#> 544 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.
#> 545 <NA>
#> 546 <NA>
#> 547 <NA>
#> 548 <NA>
#> 549 <NA>
#> 550 <NA>
#> 551 <NA>
#> 552 <NA>
#> 553 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.
#> 554 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.
#> 555 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.
#> 556 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.
#> 557 Savings is an amount that represents the part of disposable income (adjusted for the\n\n\n\n\n\n\n\n\nchange in pension entitlements) that is not spent on final consumption. Gross savings are calculated as gross national income less total consumption, plus net transfers. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 558 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.
#> 559 <NA>
#> 560 <NA>
#> 561 <NA>
#> 562 <NA>
#> 563 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.
#> 564 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.
#> 565 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.
#> 566 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.
#> 567 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.
#> 568 <NA>
#> 569 <NA>
#> 570 <NA>
#> 571 <NA>
#> 572 <NA>
#> 573 <NA>
#> 574 <NA>
#> 575 <NA>
#> 576 <NA>
#> 577 <NA>
#> 578 <NA>
#> 579 <NA>
#> 580 <NA>
#> 581 <NA>
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#> 584 <NA>
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#> 586 <NA>
#> 587 <NA>
#> 588 <NA>
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#> 590 <NA>
#> 591 <NA>
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#> 593 <NA>
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#> 595 <NA>
#> 596 <NA>
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#> 598 <NA>
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#> 600 <NA>
#> 601 <NA>
#> 602 <NA>
#> 603 <NA>
#> 604 <NA>
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#> 612 <NA>
#> 613 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.
#> 614 <NA>
#> 615 <NA>
#> 616 <NA>
#> 617 <NA>
#> 618 <NA>
#> 619 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.
#> 620 <NA>
#> 621 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.
#> 622 <NA>
#> 623 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.
#> 624 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.
#> 625 <NA>
#> 626 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).
#> 627 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.
#> 628 Public expenditure on health from domestic sources as a share of the economy as measured by GDP.
#> 629 <NA>
#> 630 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.
#> 631 Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.
#> 632 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.
#> 633 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.
#> 634 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.
#> 635 GDP per person employed is gross domestic product (GDP) divided by total employment in the economy.
#> 636 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.
#> 637 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.
#> 638 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.
#> 639 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.
#> 640 <NA>
#> 641 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.
#> 642 <NA>
#> 643 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/
#> 644 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/
#> 645 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/
#> 646 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/
#> 647 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/
#> 648 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/
#> 649 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/
#> 650 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/
#> 651 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/
#> 652 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/
#> 653 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/
#> 654 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/
#> 655 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/
#> 656 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/
#> 657 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/
#> 658 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/
#> 659 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/
#> 660 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/
#> 661 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/
#> 662 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/
#> 663 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/
#> 664 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/
#> 665 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/
#> 666 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/
#> 667 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/
#> 668 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/
#> 669 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/
#> 670 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/
#> 671 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/
#> 672 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/
#> 673 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/
#> 674 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/
#> 675 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/
#> 676 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/
#> 677 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/
#> 678 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/
#> 679 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
#> 1 World Development Indicators (World Bank)
#> 2 World Development Indicators (World Bank)
#> 3 World Development Indicators (World Bank)
#> 4 World Development Indicators (World Bank)
#> 5 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)
#> 6 <NA>
#> 7 <NA>
#> 8 <NA>
#> 9 <NA>
#> 10 <NA>
#> 11 <NA>
#> 12 International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.
#> 13 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
#> 14 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)
#> 15 <NA>
#> 16 <NA>
#> 17 World Bank country economists.
#> 18 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 19 World Bank country economists.
#> 20 <NA>
#> 21 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 22 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 23 <NA>
#> 24 <NA>
#> 25 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)
#> 26 World Bank staff estimates based on the International Monetary Fund's Balance of Payments Statistics Yearbook 2008, and World Bank and OECD GDP estimates.
#> 27 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)
#> 28 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 29 Policy Instrument for the Environment Data Base, OECD. Available at: https://www.oecd.org/env/indicators-modelling-outlooks/policy-instrument-database/
#> 30 <NA>
#> 31 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 32 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 33 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
#> 34 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
#> 35 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
#> 36 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.
#> 37 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.
#> 38 <NA>
#> 39 <NA>
#> 40 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 41 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 42 <NA>
#> 43 <NA>
#> 44 <NA>
#> 45 <NA>
#> 46 <NA>
#> 47 <NA>
#> 48 <NA>
#> 49 <NA>
#> 50 <NA>
#> 51 <NA>
#> 52 <NA>
#> 53 <NA>
#> 54 <NA>
#> 55 <NA>
#> 56 <NA>
#> 57 <NA>
#> 58 <NA>
#> 59 <NA>
#> 60 <NA>
#> 61 <NA>
#> 62 <NA>
#> 63 <NA>
#> 64 <NA>
#> 65 <NA>
#> 66 <NA>
#> 67 <NA>
#> 68 <NA>
#> 69 <NA>
#> 70 <NA>
#> 71 <NA>
#> 72 <NA>
#> 73 <NA>
#> 74 <NA>
#> 75 <NA>
#> 76 <NA>
#> 77 <NA>
#> 78 <NA>
#> 79 <NA>
#> 80 <NA>
#> 81 <NA>
#> 82 <NA>
#> 83 <NA>
#> 84 <NA>
#> 85 <NA>
#> 86 <NA>
#> 87 <NA>
#> 88 <NA>
#> 89 <NA>
#> 90 <NA>
#> 91 <NA>
#> 92 <NA>
#> 93 <NA>
#> 94 <NA>
#> 95 <NA>
#> 96 <NA>
#> 97 <NA>
#> 98 <NA>
#> 99 <NA>
#> 100 <NA>
#> 101 <NA>
#> 102 <NA>
#> 103 <NA>
#> 104 <NA>
#> 105 <NA>
#> 106 <NA>
#> 107 <NA>
#> 108 <NA>
#> 109 <NA>
#> 110 <NA>
#> 111 <NA>
#> 112 <NA>
#> 113 <NA>
#> 114 <NA>
#> 115 <NA>
#> 116 <NA>
#> 117 <NA>
#> 118 <NA>
#> 119 <NA>
#> 120 <NA>
#> 121 <NA>
#> 122 <NA>
#> 123 <NA>
#> 124 <NA>
#> 125 <NA>
#> 126 <NA>
#> 127 <NA>
#> 128 <NA>
#> 129 <NA>
#> 130 <NA>
#> 131 <NA>
#> 132 <NA>
#> 133 <NA>
#> 134 <NA>
#> 135 <NA>
#> 136 <NA>
#> 137 <NA>
#> 138 <NA>
#> 139 <NA>
#> 140 <NA>
#> 141 <NA>
#> 142 <NA>
#> 143 <NA>
#> 144 <NA>
#> 145 <NA>
#> 146 <NA>
#> 147 <NA>
#> 148 <NA>
#> 149 <NA>
#> 150 <NA>
#> 151 <NA>
#> 152 <NA>
#> 153 <NA>
#> 154 <NA>
#> 155 <NA>
#> 156 <NA>
#> 157 <NA>
#> 158 <NA>
#> 159 <NA>
#> 160 <NA>
#> 161 <NA>
#> 162 <NA>
#> 163 <NA>
#> 164 <NA>
#> 165 <NA>
#> 166 <NA>
#> 167 <NA>
#> 168 <NA>
#> 169 <NA>
#> 170 <NA>
#> 171 <NA>
#> 172 <NA>
#> 173 <NA>
#> 174 <NA>
#> 175 <NA>
#> 176 <NA>
#> 177 <NA>
#> 178 <NA>
#> 179 <NA>
#> 180 <NA>
#> 181 <NA>
#> 182 <NA>
#> 183 <NA>
#> 184 <NA>
#> 185 <NA>
#> 186 <NA>
#> 187 <NA>
#> 188 <NA>
#> 189 <NA>
#> 190 <NA>
#> 191 <NA>
#> 192 <NA>
#> 193 <NA>
#> 194 <NA>
#> 195 <NA>
#> 196 <NA>
#> 197 <NA>
#> 198 <NA>
#> 199 <NA>
#> 200 <NA>
#> 201 <NA>
#> 202 <NA>
#> 203 <NA>
#> 204 <NA>
#> 205 <NA>
#> 206 <NA>
#> 207 <NA>
#> 208 <NA>
#> 209 <NA>
#> 210 <NA>
#> 211 <NA>
#> 212 World Bank, Global Development Finance.
#> 213 World Bank, Global Development Finance.
#> 214 World Bank, Global Development Finance.
#> 215 World Bank, Global Development Finance.
#> 216 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.
#> 217 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.
#> 218 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.
#> 219 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.
#> 220 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.
#> 221 World Bank, Global Development Finance.
#> 222 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
#> 223 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
#> 224 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
#> 225 <NA>
#> 226 <NA>
#> 227 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
#> 228 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
#> 229 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
#> 230 <NA>
#> 231 <NA>
#> 232 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.
#> 233 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.
#> 234 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.
#> 235 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
#> 236 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
#> 237 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)
#> 238 <NA>
#> 239 <NA>
#> 240 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)
#> 241 International Monetary Fund, International Financial Statistics and data files.
#> 242 "International Monetary Fund.\r"
#> 243 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)
#> 244 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)
#> 245 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 246 <NA>
#> 247 <NA>
#> 248 <NA>
#> 249 <NA>
#> 250 International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.
#> 251 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators, World Bank (WB)
#> 252 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)
#> 253 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)
#> 254 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)
#> 255 <NA>
#> 256 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)
#> 257 <NA>
#> 258 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 259 <NA>
#> 260 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 261 <NA>
#> 262 <NA>
#> 263 <NA>
#> 264 <NA>
#> 265 <NA>
#> 266 <NA>
#> 267 <NA>
#> 268 <NA>
#> 269 <NA>
#> 270 <NA>
#> 271 World Bank country economists.
#> 272 <NA>
#> 273 <NA>
#> 274 <NA>
#> 275 <NA>
#> 276 <NA>
#> 277 <NA>
#> 278 <NA>
#> 279 <NA>
#> 280 <NA>
#> 281 <NA>
#> 282 <NA>
#> 283 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
#> 284 <NA>
#> 285 <NA>
#> 286 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 287 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 288 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 289 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 290 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 291 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 292 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 293 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 294 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 295 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 296 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)
#> 297 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 298 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 299 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 300 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 301 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 302 World Bank - Non banking financial database
#> 303 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 304 Sigma Reports, Swiss Re
#> 305 Sigma Reports, Swiss Re
#> 306 Nonbanking financial database, World Bank
#> 307 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 308 Nonbanking financial database, World Bank
#> 309 World Development Indicators (WDI), World Bank
#> 310 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 311 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 312 Bank for International Settlements (BIS)
#> 313 Bank for International Settlements (BIS)
#> 314 Bank for International Settlements (BIS)
#> 315 Bank for International Settlements (BIS)
#> 316 Bank for International Settlements (BIS)
#> 317 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 318 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 319 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 320 <NA>
#> 321 <NA>
#> 322 <NA>
#> 323 <NA>
#> 324 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 325 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 326 Bank for International Settlements (BIS)
#> 327 Bank for International Settlements (BIS)
#> 328 World Development Indicators (WDI), World Bank
#> 329 Consolidated banking statistics, Bank for International Settlements (BIS)
#> 330 White Clarke Global Leasing Report
#> 331 Factors Chain International
#> 332 Luc Laeven and Fabián Valencia, 2012. “Systemic Banking Crises Database: An Update”, IMF Working Paper WP/12/163
#> 333 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 334 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 335 World Information Technology and Services Alliance, Digital Planet: The Global Information Economy, and Global Insight, Inc.
#> 336 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 337 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 338 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 339 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 340 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 341 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 342 <NA>
#> 343 <NA>
#> 344 International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.
#> 345 Mo Ibrahim Foundation, electronic files and web site.
#> 346 SIPRI Military Expenditure Database, Stockholm International Peace Research Institute (SIPRI), uri: https://www.sipri.org/databases
#> 347 <NA>
#> 348 <NA>
#> 349 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 350 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 351 <NA>
#> 352 <NA>
#> 353 <NA>
#> 354 <NA>
#> 355 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 356 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 357 <NA>
#> 358 <NA>
#> 359 <NA>
#> 360 <NA>
#> 361 <NA>
#> 362 <NA>
#> 363 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 364 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 365 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 366 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 367 <NA>
#> 368 <NA>
#> 369 <NA>
#> 370 <NA>
#> 371 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 372 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 373 <NA>
#> 374 <NA>
#> 375 <NA>
#> 376 <NA>
#> 377 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 378 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 379 <NA>
#> 380 <NA>
#> 381 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 382 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 383 <NA>
#> 384 <NA>
#> 385 <NA>
#> 386 <NA>
#> 387 <NA>
#> 388 <NA>
#> 389 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 390 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 391 <NA>
#> 392 <NA>
#> 393 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 394 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 395 <NA>
#> 396 <NA>
#> 397 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 398 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 399 <NA>
#> 400 <NA>
#> 401 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 402 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 403 <NA>
#> 404 <NA>
#> 405 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 406 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.
#> 407 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.
#> 408 World Bank national accounts data, and OECD National Accounts data files.
#> 409 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)
#> 410 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)
#> 411 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)
#> 412 World Bank national accounts data, and OECD National Accounts data files.
#> 413 <NA>
#> 414 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)
#> 415 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)
#> 416 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 417 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 418 <NA>
#> 419 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 420 <NA>
#> 421 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 422 <NA>
#> 423 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 424 <NA>
#> 425 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)
#> 426 World Bank national accounts data, and OECD National Accounts data files.
#> 427 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 428 <NA>
#> 429 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)
#> 430 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 431 <NA>
#> 432 <NA>
#> 433 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 434 <NA>
#> 435 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 436 <NA>
#> 437 <NA>
#> 438 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)
#> 439 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 440 World Bank country economists.
#> 441 <NA>
#> 442 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)
#> 443 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)
#> 444 <NA>
#> 445 <NA>
#> 446 <NA>
#> 447 World Bank country economists.
#> 448 World Bank country economists.
#> 449 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)
#> 450 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 451 <NA>
#> 452 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 453 World Bank national accounts data, and OECD National Accounts data files.
#> 454 World Bank national accounts data, and OECD National Accounts data files.
#> 455 World Bank national accounts data, and OECD National Accounts data files.
#> 456 <NA>
#> 457 World Bank national accounts data, and OECD National Accounts data files.
#> 458 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 459 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.
#> 460 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.
#> 461 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.
#> 462 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.
#> 463 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.
#> 464 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.
#> 465 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.
#> 466 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.
#> 467 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.
#> 468 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.
#> 469 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.
#> 470 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.
#> 471 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.
#> 472 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.
#> 473 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.
#> 474 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.
#> 475 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.
#> 476 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.
#> 477 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.
#> 478 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.
#> 479 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.
#> 480 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.
#> 481 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.
#> 482 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.
#> 483 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.
#> 484 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.
#> 485 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.
#> 486 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.
#> 487 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.
#> 488 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.
#> 489 Organisation for Economic Co-operation and Development, Producer and Consumer Support Estimates database. Available online at www.oecd.org/tad/support/psecse.
#> 490 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.
#> 491 <NA>
#> 492 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 493 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)
#> 494 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)
#> 495 <NA>
#> 496 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)
#> 497 World Bank national accounts data, and OECD National Accounts data files.
#> 498 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)
#> 499 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)
#> 500 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 501 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)
#> 502 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)
#> 503 <NA>
#> 504 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 505 <NA>
#> 506 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.
#> 507 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.
#> 508 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)
#> 509 World Bank country economists.
#> 510 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)
#> 511 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)
#> 512 World Bank country economists.
#> 513 <NA>
#> 514 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)
#> 515 <NA>
#> 516 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)
#> 517 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)
#> 518 <NA>
#> 519 <NA>
#> 520 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)
#> 521 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)
#> 522 <NA>
#> 523 <NA>
#> 524 World Bank national accounts data, and OECD National Accounts data files.
#> 525 <NA>
#> 526 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.
#> 527 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)
#> 528 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)
#> 529 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)
#> 530 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)
#> 531 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)
#> 532 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)
#> 533 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)
#> 534 <NA>
#> 535 "World Bank, International Comparison Programme database.\r"
#> 536 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.
#> 537 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.
#> 538 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)
#> 539 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)
#> 540 World Bank country economists.
#> 541 World Bank national accounts data, and OECD National Accounts data files.
#> 542 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)
#> 543 World Bank national accounts data, and OECD National Accounts data files.
#> 544 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)
#> 545 <NA>
#> 546 <NA>
#> 547 <NA>
#> 548 <NA>
#> 549 <NA>
#> 550 <NA>
#> 551 <NA>
#> 552 <NA>
#> 553 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)
#> 554 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)
#> 555 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)
#> 556 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)
#> 557 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 558 The World Bank
#> 559 <NA>
#> 560 <NA>
#> 561 <NA>
#> 562 <NA>
#> 563 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators
#> 564 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
#> 565 World Bank, International Comparison Program database.
#> 566 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators, type: International database
#> 567 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
#> 568 <NA>
#> 569 <NA>
#> 570 <NA>
#> 571 <NA>
#> 572 <NA>
#> 573 <NA>
#> 574 <NA>
#> 575 <NA>
#> 576 <NA>
#> 577 <NA>
#> 578 <NA>
#> 579 <NA>
#> 580 <NA>
#> 581 <NA>
#> 582 <NA>
#> 583 <NA>
#> 584 <NA>
#> 585 <NA>
#> 586 <NA>
#> 587 <NA>
#> 588 <NA>
#> 589 <NA>
#> 590 <NA>
#> 591 <NA>
#> 592 <NA>
#> 593 <NA>
#> 594 <NA>
#> 595 <NA>
#> 596 <NA>
#> 597 <NA>
#> 598 <NA>
#> 599 <NA>
#> 600 <NA>
#> 601 <NA>
#> 602 <NA>
#> 603 <NA>
#> 604 <NA>
#> 605 <NA>
#> 606 <NA>
#> 607 <NA>
#> 608 <NA>
#> 609 <NA>
#> 610 <NA>
#> 611 <NA>
#> 612 <NA>
#> 613 Ministry of Finance, SIKD (Information System for Sub-National Budget) and LKPP (Central Government Financial Report)
#> 614 <NA>
#> 615 World Bank, Global Education Policy Dashboard
#> 616 World Bank, Global Education Policy Dashboard
#> 617 <NA>
#> 618 <NA>
#> 619 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 620 <NA>
#> 621 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 622 <NA>
#> 623 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 624 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
#> 625 <NA>
#> 626 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
#> 627 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: https://apps.who.int/nha/database
#> 628 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: http://apps.who.int/nha/database
#> 629 <NA>
#> 630 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 7, 2023.
#> 631 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 632 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 633 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 634 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)
#> 635 International Labour Organization, Key Indicators of the Labour Market database.
#> 636 Derived using data from International Labour Organization, ILOSTAT database. The data retrieved in March 1, 2020.
#> 637 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 638 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 639 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 640 <NA>
#> 641 World Trade Organization (WTO);\nWorld Bank GDP estimates, World Bank (WB);\nWorld Development Indicators, World Bank (WB)
#> 642 <NA>
#> 643 UNESCO Institute for Statistics
#> 644 UNESCO Institute for Statistics
#> 645 UNESCO Institute for Statistics
#> 646 UNESCO Institute for Statistics
#> 647 UNESCO Institute for Statistics
#> 648 UNESCO Institute for Statistics
#> 649 UNESCO Institute for Statistics
#> 650 UNESCO Institute for Statistics
#> 651 UNESCO Institute for Statistics
#> 652 UNESCO Institute for Statistics
#> 653 UNESCO Institute for Statistics
#> 654 UNESCO Institute for Statistics
#> 655 UNESCO Institute for Statistics
#> 656 UNESCO Institute for Statistics
#> 657 UNESCO Institute for Statistics
#> 658 UNESCO Institute for Statistics
#> 659 UNESCO Institute for Statistics
#> 660 UNESCO Institute for Statistics
#> 661 UNESCO Institute for Statistics
#> 662 UNESCO Institute for Statistics
#> 663 UNESCO Institute for Statistics
#> 664 UNESCO Institute for Statistics
#> 665 UNESCO Institute for Statistics
#> 666 UNESCO Institute for Statistics
#> 667 UNESCO Institute for Statistics
#> 668 UNESCO Institute for Statistics
#> 669 UNESCO Institute for Statistics
#> 670 UNESCO Institute for Statistics
#> 671 UNESCO Institute for Statistics
#> 672 UNESCO Institute for Statistics
#> 673 UNESCO Institute for Statistics
#> 674 UNESCO Institute for Statistics
#> 675 UNESCO Institute for Statistics
#> 676 UNESCO Institute for Statistics
#> 677 UNESCO Institute for Statistics
#> 678 UNESCO Institute for Statistics
#> 679 UNESCO Institute for Statistics
#> topic_id topic_value
#> 1 3 Economy & Growth
#> 2 3 Economy & Growth
#> 3 3 Economy & Growth
#> 4 3 Economy & Growth
#> 5 3 Economy & Growth
#> 6 NA <NA>
#> 7 NA <NA>
#> 8 NA <NA>
#> 9 NA <NA>
#> 10 NA <NA>
#> 11 NA <NA>
#> 12 NA <NA>
#> 13 3 Economy & Growth
#> 14 3 Economy & Growth
#> 15 NA <NA>
#> 16 NA <NA>
#> 17 NA <NA>
#> 18 NA <NA>
#> 19 NA <NA>
#> 20 NA <NA>
#> 21 3 Economy & Growth
#> 22 NA <NA>
#> 23 NA <NA>
#> 24 NA <NA>
#> 25 3 Economy & Growth
#> 26 NA <NA>
#> 27 3 Economy & Growth
#> 28 NA <NA>
#> 29 NA <NA>
#> 30 NA <NA>
#> 31 NA <NA>
#> 32 NA <NA>
#> 33 NA <NA>
#> 34 NA <NA>
#> 35 NA <NA>
#> 36 NA <NA>
#> 37 NA <NA>
#> 38 NA <NA>
#> 39 NA <NA>
#> 40 7 Financial Sector
#> 41 7 Financial Sector
#> 42 NA <NA>
#> 43 NA <NA>
#> 44 NA <NA>
#> 45 NA <NA>
#> 46 NA <NA>
#> 47 NA <NA>
#> 48 NA <NA>
#> 49 NA <NA>
#> 50 NA <NA>
#> 51 NA <NA>
#> 52 NA <NA>
#> 53 NA <NA>
#> 54 NA <NA>
#> 55 NA <NA>
#> 56 NA <NA>
#> 57 NA <NA>
#> 58 NA <NA>
#> 59 NA <NA>
#> 60 NA <NA>
#> 61 NA <NA>
#> 62 NA <NA>
#> 63 NA <NA>
#> 64 NA <NA>
#> 65 NA <NA>
#> 66 NA <NA>
#> 67 NA <NA>
#> 68 NA <NA>
#> 69 NA <NA>
#> 70 NA <NA>
#> 71 NA <NA>
#> 72 NA <NA>
#> 73 NA <NA>
#> 74 NA <NA>
#> 75 NA <NA>
#> 76 NA <NA>
#> 77 NA <NA>
#> 78 NA <NA>
#> 79 NA <NA>
#> 80 NA <NA>
#> 81 NA <NA>
#> 82 NA <NA>
#> 83 NA <NA>
#> 84 NA <NA>
#> 85 NA <NA>
#> 86 NA <NA>
#> 87 NA <NA>
#> 88 NA <NA>
#> 89 NA <NA>
#> 90 NA <NA>
#> 91 NA <NA>
#> 92 NA <NA>
#> 93 NA <NA>
#> 94 NA <NA>
#> 95 NA <NA>
#> 96 NA <NA>
#> 97 NA <NA>
#> 98 NA <NA>
#> 99 NA <NA>
#> 100 NA <NA>
#> 101 NA <NA>
#> 102 NA <NA>
#> 103 NA <NA>
#> 104 NA <NA>
#> 105 NA <NA>
#> 106 NA <NA>
#> 107 NA <NA>
#> 108 NA <NA>
#> 109 NA <NA>
#> 110 NA <NA>
#> 111 NA <NA>
#> 112 NA <NA>
#> 113 NA <NA>
#> 114 NA <NA>
#> 115 NA <NA>
#> 116 NA <NA>
#> 117 NA <NA>
#> 118 NA <NA>
#> 119 NA <NA>
#> 120 NA <NA>
#> 121 NA <NA>
#> 122 NA <NA>
#> 123 NA <NA>
#> 124 NA <NA>
#> 125 NA <NA>
#> 126 NA <NA>
#> 127 NA <NA>
#> 128 NA <NA>
#> 129 NA <NA>
#> 130 NA <NA>
#> 131 NA <NA>
#> 132 NA <NA>
#> 133 NA <NA>
#> 134 NA <NA>
#> 135 NA <NA>
#> 136 NA <NA>
#> 137 NA <NA>
#> 138 NA <NA>
#> 139 NA <NA>
#> 140 NA <NA>
#> 141 NA <NA>
#> 142 NA <NA>
#> 143 NA <NA>
#> 144 NA <NA>
#> 145 NA <NA>
#> 146 NA <NA>
#> 147 NA <NA>
#> 148 NA <NA>
#> 149 NA <NA>
#> 150 NA <NA>
#> 151 NA <NA>
#> 152 NA <NA>
#> 153 NA <NA>
#> 154 NA <NA>
#> 155 NA <NA>
#> 156 NA <NA>
#> 157 NA <NA>
#> 158 NA <NA>
#> 159 NA <NA>
#> 160 NA <NA>
#> 161 NA <NA>
#> 162 NA <NA>
#> 163 NA <NA>
#> 164 NA <NA>
#> 165 NA <NA>
#> 166 NA <NA>
#> 167 NA <NA>
#> 168 NA <NA>
#> 169 NA <NA>
#> 170 NA <NA>
#> 171 NA <NA>
#> 172 NA <NA>
#> 173 NA <NA>
#> 174 NA <NA>
#> 175 NA <NA>
#> 176 NA <NA>
#> 177 NA <NA>
#> 178 NA <NA>
#> 179 NA <NA>
#> 180 NA <NA>
#> 181 NA <NA>
#> 182 NA <NA>
#> 183 NA <NA>
#> 184 NA <NA>
#> 185 NA <NA>
#> 186 NA <NA>
#> 187 NA <NA>
#> 188 NA <NA>
#> 189 NA <NA>
#> 190 NA <NA>
#> 191 NA <NA>
#> 192 NA <NA>
#> 193 NA <NA>
#> 194 NA <NA>
#> 195 NA <NA>
#> 196 NA <NA>
#> 197 NA <NA>
#> 198 NA <NA>
#> 199 NA <NA>
#> 200 NA <NA>
#> 201 NA <NA>
#> 202 NA <NA>
#> 203 NA <NA>
#> 204 NA <NA>
#> 205 NA <NA>
#> 206 NA <NA>
#> 207 NA <NA>
#> 208 NA <NA>
#> 209 NA <NA>
#> 210 NA <NA>
#> 211 NA <NA>
#> 212 NA <NA>
#> 213 NA <NA>
#> 214 NA <NA>
#> 215 NA <NA>
#> 216 NA <NA>
#> 217 NA <NA>
#> 218 NA <NA>
#> 219 NA <NA>
#> 220 NA <NA>
#> 221 NA <NA>
#> 222 NA <NA>
#> 223 NA <NA>
#> 224 5 Energy & Mining
#> 225 NA <NA>
#> 226 NA <NA>
#> 227 5 Energy & Mining
#> 228 5 Energy & Mining
#> 229 5 Energy & Mining
#> 230 NA <NA>
#> 231 NA <NA>
#> 232 19 Climate Change
#> 233 19 Climate Change
#> 234 19 Climate Change
#> 235 6 Environment
#> 236 6 Environment
#> 237 6 Environment
#> 238 NA <NA>
#> 239 NA <NA>
#> 240 7 Financial Sector
#> 241 NA <NA>
#> 242 NA <NA>
#> 243 7 Financial Sector
#> 244 7 Financial Sector
#> 245 NA <NA>
#> 246 NA <NA>
#> 247 NA <NA>
#> 248 NA <NA>
#> 249 NA <NA>
#> 250 NA <NA>
#> 251 7 Financial Sector
#> 252 7 Financial Sector
#> 253 7 Financial Sector
#> 254 7 Financial Sector
#> 255 NA <NA>
#> 256 7 Financial Sector
#> 257 NA <NA>
#> 258 NA <NA>
#> 259 NA <NA>
#> 260 NA <NA>
#> 261 NA <NA>
#> 262 NA <NA>
#> 263 NA <NA>
#> 264 NA <NA>
#> 265 NA <NA>
#> 266 NA <NA>
#> 267 NA <NA>
#> 268 NA <NA>
#> 269 NA <NA>
#> 270 NA <NA>
#> 271 NA <NA>
#> 272 NA <NA>
#> 273 NA <NA>
#> 274 NA <NA>
#> 275 NA <NA>
#> 276 NA <NA>
#> 277 NA <NA>
#> 278 NA <NA>
#> 279 NA <NA>
#> 280 NA <NA>
#> 281 NA <NA>
#> 282 NA <NA>
#> 283 14 Science & Technology
#> 284 NA <NA>
#> 285 NA <NA>
#> 286 13 Public Sector
#> 287 NA <NA>
#> 288 3 Economy & Growth
#> 289 NA <NA>
#> 290 NA <NA>
#> 291 13 Public Sector
#> 292 13 Public Sector
#> 293 13 Public Sector
#> 294 3 Economy & Growth
#> 295 13 Public Sector
#> 296 3 Economy & Growth
#> 297 7 Financial Sector
#> 298 7 Financial Sector
#> 299 7 Financial Sector
#> 300 7 Financial Sector
#> 301 7 Financial Sector
#> 302 7 Financial Sector
#> 303 7 Financial Sector
#> 304 7 Financial Sector
#> 305 7 Financial Sector
#> 306 7 Financial Sector
#> 307 7 Financial Sector
#> 308 7 Financial Sector
#> 309 7 Financial Sector
#> 310 7 Financial Sector
#> 311 7 Financial Sector
#> 312 7 Financial Sector
#> 313 7 Financial Sector
#> 314 7 Financial Sector
#> 315 7 Financial Sector
#> 316 7 Financial Sector
#> 317 7 Financial Sector
#> 318 7 Financial Sector
#> 319 7 Financial Sector
#> 320 NA <NA>
#> 321 NA <NA>
#> 322 NA <NA>
#> 323 NA <NA>
#> 324 7 Financial Sector
#> 325 7 Financial Sector
#> 326 7 Financial Sector
#> 327 7 Financial Sector
#> 328 7 Financial Sector
#> 329 7 Financial Sector
#> 330 7 Financial Sector
#> 331 7 Financial Sector
#> 332 7 Financial Sector
#> 333 NA <NA>
#> 334 NA <NA>
#> 335 9 Infrastructure
#> 336 NA <NA>
#> 337 NA <NA>
#> 338 NA <NA>
#> 339 NA <NA>
#> 340 NA <NA>
#> 341 NA <NA>
#> 342 NA <NA>
#> 343 NA <NA>
#> 344 9 Infrastructure
#> 345 NA <NA>
#> 346 13 Public Sector
#> 347 NA <NA>
#> 348 NA <NA>
#> 349 NA <NA>
#> 350 NA <NA>
#> 351 NA <NA>
#> 352 NA <NA>
#> 353 NA <NA>
#> 354 NA <NA>
#> 355 NA <NA>
#> 356 NA <NA>
#> 357 NA <NA>
#> 358 NA <NA>
#> 359 NA <NA>
#> 360 NA <NA>
#> 361 NA <NA>
#> 362 NA <NA>
#> 363 NA <NA>
#> 364 NA <NA>
#> 365 NA <NA>
#> 366 NA <NA>
#> 367 NA <NA>
#> 368 NA <NA>
#> 369 NA <NA>
#> 370 NA <NA>
#> 371 NA <NA>
#> 372 NA <NA>
#> 373 NA <NA>
#> 374 NA <NA>
#> 375 NA <NA>
#> 376 NA <NA>
#> 377 NA <NA>
#> 378 NA <NA>
#> 379 NA <NA>
#> 380 NA <NA>
#> 381 NA <NA>
#> 382 NA <NA>
#> 383 NA <NA>
#> 384 NA <NA>
#> 385 NA <NA>
#> 386 NA <NA>
#> 387 NA <NA>
#> 388 NA <NA>
#> 389 NA <NA>
#> 390 NA <NA>
#> 391 NA <NA>
#> 392 NA <NA>
#> 393 NA <NA>
#> 394 NA <NA>
#> 395 NA <NA>
#> 396 NA <NA>
#> 397 NA <NA>
#> 398 NA <NA>
#> 399 NA <NA>
#> 400 NA <NA>
#> 401 NA <NA>
#> 402 NA <NA>
#> 403 NA <NA>
#> 404 NA <NA>
#> 405 3 Economy & Growth
#> 406 NA <NA>
#> 407 NA <NA>
#> 408 3 Economy & Growth
#> 409 3 Economy & Growth
#> 410 3 Economy & Growth
#> 411 3 Economy & Growth
#> 412 3 Economy & Growth
#> 413 NA <NA>
#> 414 3 Economy & Growth
#> 415 3 Economy & Growth
#> 416 3 Economy & Growth
#> 417 NA <NA>
#> 418 NA <NA>
#> 419 NA <NA>
#> 420 NA <NA>
#> 421 NA <NA>
#> 422 NA <NA>
#> 423 NA <NA>
#> 424 NA <NA>
#> 425 3 Economy & Growth
#> 426 NA <NA>
#> 427 NA <NA>
#> 428 NA <NA>
#> 429 3 Economy & Growth
#> 430 NA <NA>
#> 431 NA <NA>
#> 432 NA <NA>
#> 433 NA <NA>
#> 434 NA <NA>
#> 435 NA <NA>
#> 436 NA <NA>
#> 437 NA <NA>
#> 438 3 Economy & Growth
#> 439 3 Economy & Growth
#> 440 NA <NA>
#> 441 NA <NA>
#> 442 3 Economy & Growth
#> 443 3 Economy & Growth
#> 444 NA <NA>
#> 445 NA <NA>
#> 446 NA <NA>
#> 447 NA <NA>
#> 448 NA <NA>
#> 449 1 Agriculture & Rural Development
#> 450 3 Economy & Growth
#> 451 NA <NA>
#> 452 3 Economy & Growth
#> 453 NA <NA>
#> 454 NA <NA>
#> 455 NA <NA>
#> 456 NA <NA>
#> 457 3 Economy & Growth
#> 458 3 Economy & Growth
#> 459 NA <NA>
#> 460 NA <NA>
#> 461 NA <NA>
#> 462 NA <NA>
#> 463 NA <NA>
#> 464 NA <NA>
#> 465 NA <NA>
#> 466 NA <NA>
#> 467 NA <NA>
#> 468 NA <NA>
#> 469 NA <NA>
#> 470 NA <NA>
#> 471 NA <NA>
#> 472 NA <NA>
#> 473 NA <NA>
#> 474 NA <NA>
#> 475 NA <NA>
#> 476 NA <NA>
#> 477 NA <NA>
#> 478 NA <NA>
#> 479 NA <NA>
#> 480 NA <NA>
#> 481 NA <NA>
#> 482 NA <NA>
#> 483 NA <NA>
#> 484 NA <NA>
#> 485 NA <NA>
#> 486 NA <NA>
#> 487 NA <NA>
#> 488 NA <NA>
#> 489 18 Millenium development goals
#> 490 6 Environment
#> 491 NA <NA>
#> 492 3 Economy & Growth
#> 493 7 Financial Sector
#> 494 3 Economy & Growth
#> 495 NA <NA>
#> 496 7 Financial Sector
#> 497 NA <NA>
#> 498 3 Economy & Growth
#> 499 3 Economy & Growth
#> 500 3 Economy & Growth
#> 501 3 Economy & Growth
#> 502 3 Economy & Growth
#> 503 NA <NA>
#> 504 3 Economy & Growth
#> 505 NA <NA>
#> 506 6 Environment
#> 507 5 Energy & Mining
#> 508 3 Economy & Growth
#> 509 NA <NA>
#> 510 3 Economy & Growth
#> 511 3 Economy & Growth
#> 512 NA <NA>
#> 513 NA <NA>
#> 514 3 Economy & Growth
#> 515 NA <NA>
#> 516 3 Economy & Growth
#> 517 3 Economy & Growth
#> 518 NA <NA>
#> 519 NA <NA>
#> 520 3 Economy & Growth
#> 521 3 Economy & Growth
#> 522 NA <NA>
#> 523 NA <NA>
#> 524 NA <NA>
#> 525 NA <NA>
#> 526 5 Energy & Mining
#> 527 3 Economy & Growth
#> 528 3 Economy & Growth
#> 529 3 Economy & Growth
#> 530 3 Economy & Growth
#> 531 3 Economy & Growth
#> 532 3 Economy & Growth
#> 533 3 Economy & Growth
#> 534 NA <NA>
#> 535 NA <NA>
#> 536 5 Energy & Mining
#> 537 5 Energy & Mining
#> 538 3 Economy & Growth
#> 539 3 Economy & Growth
#> 540 NA <NA>
#> 541 NA <NA>
#> 542 3 Economy & Growth
#> 543 NA <NA>
#> 544 3 Economy & Growth
#> 545 NA <NA>
#> 546 NA <NA>
#> 547 NA <NA>
#> 548 NA <NA>
#> 549 NA <NA>
#> 550 NA <NA>
#> 551 NA <NA>
#> 552 NA <NA>
#> 553 3 Economy & Growth
#> 554 3 Economy & Growth
#> 555 3 Economy & Growth
#> 556 3 Economy & Growth
#> 557 3 Economy & Growth
#> 558 NA <NA>
#> 559 NA <NA>
#> 560 NA <NA>
#> 561 NA <NA>
#> 562 NA <NA>
#> 563 NA <NA>
#> 564 3 Economy & Growth
#> 565 3 Economy & Growth
#> 566 3 Economy & Growth
#> 567 3 Economy & Growth
#> 568 NA <NA>
#> 569 NA <NA>
#> 570 NA <NA>
#> 571 NA <NA>
#> 572 NA <NA>
#> 573 NA <NA>
#> 574 NA <NA>
#> 575 NA <NA>
#> 576 NA <NA>
#> 577 NA <NA>
#> 578 NA <NA>
#> 579 NA <NA>
#> 580 NA <NA>
#> 581 NA <NA>
#> 582 NA <NA>
#> 583 NA <NA>
#> 584 NA <NA>
#> 585 NA <NA>
#> 586 NA <NA>
#> 587 NA <NA>
#> 588 NA <NA>
#> 589 NA <NA>
#> 590 NA <NA>
#> 591 NA <NA>
#> 592 NA <NA>
#> 593 NA <NA>
#> 594 NA <NA>
#> 595 NA <NA>
#> 596 NA <NA>
#> 597 NA <NA>
#> 598 NA <NA>
#> 599 NA <NA>
#> 600 NA <NA>
#> 601 NA <NA>
#> 602 NA <NA>
#> 603 NA <NA>
#> 604 NA <NA>
#> 605 NA <NA>
#> 606 NA <NA>
#> 607 NA <NA>
#> 608 NA <NA>
#> 609 NA <NA>
#> 610 NA <NA>
#> 611 NA <NA>
#> 612 NA <NA>
#> 613 NA <NA>
#> 614 NA <NA>
#> 615 NA <NA>
#> 616 NA <NA>
#> 617 NA <NA>
#> 618 NA <NA>
#> 619 4 Education
#> 620 NA <NA>
#> 621 4 Education
#> 622 NA <NA>
#> 623 4 Education
#> 624 4 Education
#> 625 NA <NA>
#> 626 8 Health
#> 627 8 Health
#> 628 8 Health
#> 629 NA <NA>
#> 630 NA <NA>
#> 631 8 Health
#> 632 8 Health
#> 633 8 Health
#> 634 10 Social Protection & Labor
#> 635 NA <NA>
#> 636 NA <NA>
#> 637 NA <NA>
#> 638 NA <NA>
#> 639 NA <NA>
#> 640 NA <NA>
#> 641 12 Private Sector
#> 642 NA <NA>
#> 643 NA <NA>
#> 644 NA <NA>
#> 645 NA <NA>
#> 646 NA <NA>
#> 647 NA <NA>
#> 648 NA <NA>
#> 649 NA <NA>
#> 650 NA <NA>
#> 651 NA <NA>
#> 652 NA <NA>
#> 653 NA <NA>
#> 654 NA <NA>
#> 655 NA <NA>
#> 656 NA <NA>
#> 657 NA <NA>
#> 658 NA <NA>
#> 659 NA <NA>
#> 660 NA <NA>
#> 661 NA <NA>
#> 662 NA <NA>
#> 663 NA <NA>
#> 664 NA <NA>
#> 665 NA <NA>
#> 666 NA <NA>
#> 667 NA <NA>
#> 668 NA <NA>
#> 669 NA <NA>
#> 670 NA <NA>
#> 671 NA <NA>
#> 672 NA <NA>
#> 673 NA <NA>
#> 674 NA <NA>
#> 675 NA <NA>
#> 676 NA <NA>
#> 677 NA <NA>
#> 678 NA <NA>
#> 679 NA <NA>
# restrict the search to the indicator name
wb_search("unemployment", fields = "name")
#> id
#> 1 JI.UEM.1524.FE.ZS
#> 2 JI.UEM.1524.HE.ZS
#> 3 JI.UEM.1524.LE.ZS
#> 4 JI.UEM.1524.MA.ZS
#> 5 JI.UEM.1524.RU.ZS
#> 6 JI.UEM.1524.UR.ZS
#> 7 JI.UEM.1524.ZS
#> 8 JI.UEM.1564.FE.ZS
#> 9 JI.UEM.1564.HE.ZS
#> 10 JI.UEM.1564.LE.ZS
#> 11 JI.UEM.1564.MA.ZS
#> 12 JI.UEM.1564.OL.ZS
#> 13 JI.UEM.1564.RU.ZS
#> 14 JI.UEM.1564.UR.ZS
#> 15 JI.UEM.1564.YG.ZS
#> 16 JI.UEM.1564.ZS
#> 17 lm_ub.bi_q1
#> 18 lm_ub.cov_pop
#> 19 lm_ub.gen_pop
#> 20 per_lm_alllm.adq_pop_tot
#> 21 per_lm_alllm.ben_q1_tot
#> 22 per_lm_alllm.cov_pop_tot
#> 23 per_lm_alllm.cov_q1_tot
#> 24 per_lm_alllm.cov_q2_tot
#> 25 per_lm_alllm.cov_q3_tot
#> 26 per_lm_alllm.cov_q4_tot
#> 27 per_lm_alllm.cov_q5_tot
#> 28 SL.UEM.1524.FE.NE.ZS
#> 29 SL.UEM.1524.FE.ZS
#> 30 SL.UEM.1524.FM.NE.ZS
#> 31 SL.UEM.1524.FM.ZS
#> 32 SL.UEM.1524.MA.NE.ZS
#> 33 SL.UEM.1524.MA.ZS
#> 34 SL.UEM.1524.NE.ZS
#> 35 SL.UEM.1524.ZS
#> 36 SL.UEM.ADVN.FE.ZS
#> 37 SL.UEM.ADVN.MA.ZS
#> 38 SL.UEM.ADVN.ZS
#> 39 SL.UEM.BASC.FE.ZS
#> 40 SL.UEM.BASC.MA.ZS
#> 41 SL.UEM.BASC.ZS
#> 42 SL.UEM.INTM.FE.ZS
#> 43 SL.UEM.INTM.MA.ZS
#> 44 SL.UEM.INTM.ZS
#> 45 SL.UEM.LTRM.FE.ZS
#> 46 SL.UEM.LTRM.MA.ZS
#> 47 SL.UEM.LTRM.ZS
#> 48 SL.UEM.PRIM.FE.ZS
#> 49 SL.UEM.PRIM.MA.ZS
#> 50 SL.UEM.PRIM.ZS
#> 51 SL.UEM.SECO.FE.ZS
#> 52 SL.UEM.SECO.MA.ZS
#> 53 SL.UEM.SECO.ZS
#> 54 SL.UEM.TERT.FE.ZS
#> 55 SL.UEM.TERT.MA.ZS
#> 56 SL.UEM.TERT.ZS
#> 57 SL.UEM.TOTL.FE.NE.ZS
#> 58 SL.UEM.TOTL.FE.ZS
#> 59 SL.UEM.TOTL.MA.NE.ZS
#> 60 SL.UEM.TOTL.MA.ZS
#> 61 SL.UEM.TOTL.NE.ZS
#> 62 SL.UEM.TOTL.ZS
#> 63 UNEMPSA_
#> name
#> 1 Youth unemployment rate, aged 15-24, female (% of female youth labor force)
#> 2 Youth unemployment rate, aged 15-24, above primary education (% of youth labor force with high education)
#> 3 Youth unemployment rate, aged 15-24, primary education and below (% of youth labor force with low education)
#> 4 Youth unemployment rate, aged 15-24, male (% of male youth labor force)
#> 5 Youth unemployment rate, aged 15-24, rural (% of rural youth labor force)
#> 6 Youth unemployment rate, aged 15-24, urban (% of urban youth labor force)
#> 7 Youth unemployment rate, aged 15-24, total (% of total youth labor force)
#> 8 Unemployment rate, aged 15-64, female (% of female labor force in working age)
#> 9 Unemployment rate, aged 15-64, above primary education (% of labor force with high education in working age)
#> 10 Unemployment rate, aged 15-64, primary education and below (% of labor force with low education in working age)
#> 11 Unemployment rate, aged 15-64, male (% of male labor force in working age)
#> 12 Unemployment rate, aged 25-64 (% of labor force aged 25-64)
#> 13 Unemployment rate, aged 15-64, rural (% of rural labor force in working age)
#> 14 Unemployment rate, aged 15-64, urban (% of urban labor force in working age)
#> 15 Unemployment rate, aged 15-24 (% of labor force aged 15-24)
#> 16 Unemployment rate, aged 15-64, total (% of total labor force in working age)
#> 17 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
#> 18 Coverage of unemployment benefits and ALMP (% of population)
#> 19 Generosity of unemployment benefits and ALMP (% of total welfare of beneficiary households)
#> 20 Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households)
#> 21 Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits)
#> 22 Coverage of unemployment benefits and ALMP (% of population)
#> 23 Coverage of unemployment benefits and ALMP in poorest quintile (% of population)
#> 24 Coverage of unemployment benefits and ALMP in 2nd quintile (% of population)
#> 25 Coverage of unemployment benefits and ALMP in 3rd quintile (% of population)
#> 26 Coverage of unemployment benefits and ALMP in 4th quintile (% of population)
#> 27 Coverage of unemployment benefits and ALMP in richest quintile (% of population)
#> 28 Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
#> 29 Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
#> 30 Ratio of female to male youth unemployment rate (%) (national estimate)
#> 31 Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)
#> 32 Unemployment, youth male (% of male labor force ages 15-24) (national estimate)
#> 33 Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)
#> 34 Unemployment, youth total (% of total labor force ages 15-24) (national estimate)
#> 35 Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)
#> 36 Unemployment with advanced education, female (% of female labor force with advanced education)
#> 37 Unemployment with advanced education, male (% of male labor force with advanced education)
#> 38 Unemployment with advanced education (% of total labor force with advanced education)
#> 39 Unemployment with basic education, female (% of female labor force with basic education)
#> 40 Unemployment with basic education, male (% of male labor force with basic education)
#> 41 Unemployment with basic education (% of total labor force with basic education)
#> 42 Unemployment with intermediate education, female (% of female labor force with intermediate education)
#> 43 Unemployment with intermediate education, male (% of male labor force with intermediate education)
#> 44 Unemployment with intermediate education (% of total labor force with intermediate education)
#> 45 Long-term unemployment, female (% of female unemployment)
#> 46 Long-term unemployment, male (% of male unemployment)
#> 47 Long-term unemployment (% of total unemployment)
#> 48 Unemployment with primary education, female (% of female unemployment)
#> 49 Unemployment with primary education, male (% of male unemployment)
#> 50 Unemployment with primary education (% of total unemployment)
#> 51 Unemployment with secondary education, female (% of female unemployment)
#> 52 Unemployment with secondary education, male (% of male unemployment)
#> 53 Unemployment with secondary education (% of total unemployment)
#> 54 Unemployment with tertiary education, female (% of female unemployment)
#> 55 Unemployment with tertiary education, male (% of male unemployment)
#> 56 Unemployment with tertiary education (% of total unemployment)
#> 57 Unemployment, female (% of female labor force) (national estimate)
#> 58 Unemployment, female (% of female labor force) (modeled ILO estimate)
#> 59 Unemployment, male (% of male labor force) (national estimate)
#> 60 Unemployment, male (% of male labor force) (modeled ILO estimate)
#> 61 Unemployment, total (% of total labor force) (national estimate)
#> 62 Unemployment, total (% of total labor force) (modeled ILO estimate)
#> 63 Unemployment rate,Percent,,,
#> unit source_id source_value
#> 1 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 2 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 3 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 4 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 5 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 6 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 7 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 8 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 9 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 10 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 11 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 12 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 13 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 14 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 15 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 16 <NA> 86 Global Jobs Indicators Database (JOIN)
#> 17 <NA> 57 WDI Database Archives
#> 18 <NA> 57 WDI Database Archives
#> 19 <NA> 57 WDI Database Archives
#> 20 <NA> 2 World Development Indicators
#> 21 <NA> 2 World Development Indicators
#> 22 <NA> 2 World Development Indicators
#> 23 <NA> 2 World Development Indicators
#> 24 <NA> 2 World Development Indicators
#> 25 <NA> 2 World Development Indicators
#> 26 <NA> 2 World Development Indicators
#> 27 <NA> 2 World Development Indicators
#> 28 <NA> 2 World Development Indicators
#> 29 <NA> 2 World Development Indicators
#> 30 <NA> 14 Gender Statistics
#> 31 <NA> 14 Gender Statistics
#> 32 <NA> 2 World Development Indicators
#> 33 <NA> 2 World Development Indicators
#> 34 <NA> 2 World Development Indicators
#> 35 <NA> 2 World Development Indicators
#> 36 <NA> 2 World Development Indicators
#> 37 <NA> 2 World Development Indicators
#> 38 <NA> 2 World Development Indicators
#> 39 <NA> 2 World Development Indicators
#> 40 <NA> 2 World Development Indicators
#> 41 <NA> 2 World Development Indicators
#> 42 <NA> 2 World Development Indicators
#> 43 <NA> 2 World Development Indicators
#> 44 <NA> 2 World Development Indicators
#> 45 <NA> 57 WDI Database Archives
#> 46 <NA> 57 WDI Database Archives
#> 47 <NA> 57 WDI Database Archives
#> 48 <NA> 57 WDI Database Archives
#> 49 <NA> 57 WDI Database Archives
#> 50 <NA> 57 WDI Database Archives
#> 51 <NA> 57 WDI Database Archives
#> 52 <NA> 57 WDI Database Archives
#> 53 <NA> 11 Africa Development Indicators
#> 54 <NA> 57 WDI Database Archives
#> 55 <NA> 11 Africa Development Indicators
#> 56 <NA> 57 WDI Database Archives
#> 57 <NA> 2 World Development Indicators
#> 58 <NA> 2 World Development Indicators
#> 59 <NA> 2 World Development Indicators
#> 60 <NA> 2 World Development Indicators
#> 61 <NA> 2 World Development Indicators
#> 62 <NA> 2 World Development Indicators
#> 63 <NA> 15 Global Economic Monitor
#> source_note
#> 1 <NA>
#> 2 <NA>
#> 3 <NA>
#> 4 <NA>
#> 5 <NA>
#> 6 <NA>
#> 7 <NA>
#> 8 <NA>
#> 9 <NA>
#> 10 <NA>
#> 11 <NA>
#> 12 <NA>
#> 13 <NA>
#> 14 <NA>
#> 15 <NA>
#> 16 <NA>
#> 17 <NA>
#> 18 <NA>
#> 19 <NA>
#> 20 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.
#> 21 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.
#> 22 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.
#> 23 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.
#> 24 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.
#> 25 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.
#> 26 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.
#> 27 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.
#> 28 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.
#> 29 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 30 Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
#> 31 Ratio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
#> 32 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.
#> 33 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 34 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.
#> 35 Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.
#> 36 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).
#> 37 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).
#> 38 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).
#> 39 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).
#> 40 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).
#> 41 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).
#> 42 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).
#> 43 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).
#> 44 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).
#> 45 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.
#> 46 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.
#> 47 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.
#> 48 Female unemployment with primary education is the share of the female unemployed who attained or completed primary education as the highest level.
#> 49 Male unemployment with primary education is the share of the male unemployed who attained or completed primary education as the highest level.
#> 50 Unemployment with primary education is the share of the total unemployed who attained or completed primary education as the highest level.
#> 51 Female unemployment with secondary education is the share of the female unemployed who attained or completed secondary education as the highest level.
#> 52 Male unemployment with secondary education is the share of the male unemployed who attained or completed secondary education as the highest level.
#> 53 Unemployment with secondary education is the share of the total unemployed who attained or completed secondary education as the highest level.
#> 54 Female unemployment with tertiary education is the share of the female unemployed who attained or completed tertiary education as the highest level.
#> 55 Male unemployment with tertiary education is the share of the male unemployed who attained or completed tertiary education as the highest level.
#> 56 Unemployment with tertiary education is the share of the total unemployed who attained or completed tertiary education as the highest level.
#> 57 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.
#> 58 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 59 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.
#> 60 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 61 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.
#> 62 Unemployment refers to the share of the labor force that is without work but available for and seeking employment.
#> 63 <NA>
#> source_organization
#> 1 <NA>
#> 2 <NA>
#> 3 <NA>
#> 4 <NA>
#> 5 <NA>
#> 6 <NA>
#> 7 <NA>
#> 8 <NA>
#> 9 <NA>
#> 10 <NA>
#> 11 <NA>
#> 12 <NA>
#> 13 <NA>
#> 14 <NA>
#> 15 <NA>
#> 16 <NA>
#> 17 <NA>
#> 18 <NA>
#> 19 <NA>
#> 20 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.
#> 21 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.
#> 22 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.
#> 23 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.
#> 24 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.
#> 25 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.
#> 26 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.
#> 27 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.
#> 28 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 29 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
#> 30 World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
#> 31 World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
#> 32 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 33 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
#> 34 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 35 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
#> 36 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
#> 37 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
#> 38 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
#> 39 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
#> 40 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
#> 41 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
#> 42 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
#> 43 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
#> 44 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
#> 45 International Labour Organization, Key Indicators of the Labour Market database.
#> 46 International Labour Organization, Key Indicators of the Labour Market database.
#> 47 International Labour Organization, Key Indicators of the Labour Market database.
#> 48 International Labour Organization, Key Indicators of the Labour Market database.
#> 49 International Labour Organization, Key Indicators of the Labour Market database.
#> 50 International Labour Organization, Key Indicators of the Labour Market database.
#> 51 International Labour Organization, Key Indicators of the Labour Market database.
#> 52 International Labour Organization, Key Indicators of the Labour Market database.
#> 53 International Labour Organization, Key Indicators of the Labour Market database.
#> 54 International Labour Organization, Key Indicators of the Labour Market database.
#> 55 International Labour Organization, Key Indicators of the Labour Market database.
#> 56 International Labour Organization, Key Indicators of the Labour Market database.
#> 57 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 58 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
#> 59 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 60 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
#> 61 Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: June 22, 2026
#> 62 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
#> 63 <NA>
#> topic_id topic_value
#> 1 NA <NA>
#> 2 NA <NA>
#> 3 NA <NA>
#> 4 NA <NA>
#> 5 NA <NA>
#> 6 NA <NA>
#> 7 NA <NA>
#> 8 NA <NA>
#> 9 NA <NA>
#> 10 NA <NA>
#> 11 NA <NA>
#> 12 NA <NA>
#> 13 NA <NA>
#> 14 NA <NA>
#> 15 NA <NA>
#> 16 NA <NA>
#> 17 NA <NA>
#> 18 NA <NA>
#> 19 NA <NA>
#> 20 10 Social Protection & Labor
#> 21 10 Social Protection & Labor
#> 22 10 Social Protection & Labor
#> 23 10 Social Protection & Labor
#> 24 10 Social Protection & Labor
#> 25 10 Social Protection & Labor
#> 26 10 Social Protection & Labor
#> 27 10 Social Protection & Labor
#> 28 10 Social Protection & Labor
#> 29 10 Social Protection & Labor
#> 30 17 Gender
#> 31 17 Gender
#> 32 10 Social Protection & Labor
#> 33 10 Social Protection & Labor
#> 34 10 Social Protection & Labor
#> 35 10 Social Protection & Labor
#> 36 10 Social Protection & Labor
#> 37 10 Social Protection & Labor
#> 38 10 Social Protection & Labor
#> 39 10 Social Protection & Labor
#> 40 10 Social Protection & Labor
#> 41 10 Social Protection & Labor
#> 42 10 Social Protection & Labor
#> 43 10 Social Protection & Labor
#> 44 10 Social Protection & Labor
#> 45 10 Social Protection & Labor
#> 46 10 Social Protection & Labor
#> 47 10 Social Protection & Labor
#> 48 10 Social Protection & Labor
#> 49 10 Social Protection & Labor
#> 50 10 Social Protection & Labor
#> 51 10 Social Protection & Labor
#> 52 10 Social Protection & Labor
#> 53 10 Social Protection & Labor
#> 54 10 Social Protection & Labor
#> 55 10 Social Protection & Labor
#> 56 10 Social Protection & Labor
#> 57 10 Social Protection & Labor
#> 58 4 Education
#> 59 10 Social Protection & Labor
#> 60 4 Education
#> 61 10 Social Protection & Labor
#> 62 4 Education
#> 63 NA <NA>
# case-sensitive fixed-string match
wb_search("GDP", ignore.case = FALSE, fixed = TRUE)
#> id
#> 1 6.0.GDP_current
#> 2 6.0.GDP_growth
#> 3 6.0.GDP_usd
#> 4 6.0.GDPpc_constant
#> 5 BG.GSR.NFSV.GD.ZS
#> 6 BG.KAC.FNEI.GD.PP.ZS
#> 7 BG.KAC.FNEI.GD.ZS
#> 8 BG.KLT.DINV.GD.PP.ZS
#> 9 BG.KLT.DINV.GD.ZS
#> 10 BI.WAG.TOTL.GD.ZS
#> 11 BM.GSR.MRCH.ZS
#> 12 BM.KLT.DINV.GD.ZS
#> 13 BM.KLT.DINV.WD.GD.ZS
#> 14 BN.CAB.XOKA.GD.ZS
#> 15 BN.CAB.XOKA.GDP.ZS
#> 16 BN.CAB.XOTR.ZS
#> 17 BN.CUR.GDPM.ZS
#> 18 BN.GSR.FCTY.CD.ZS
#> 19 BN.KLT.DINV.CD.ZS
#> 20 BN.KLT.DINV.DRS.GDP.ZS
#> 21 BN.KLT.PRVT.GD.ZS
#> 22 BN.TRF.CURR.CD.ZS
#> 23 BX.GSR.MRCH.ZS
#> 24 BX.KLT.DINV.DT.GD.ZS
#> 25 BX.KLT.DINV.WD.GD.ZS
#> 26 BX.TRF.MGR.DT.GD.ZS
#> 27 BX.TRF.PWKR.DT.GD.ZS
#> 28 BX.TRF.PWKR.GD.ZS
#> 29 CC.ENTX.ENE.ZS
#> 30 CC.ENTX.ENV.ZS
#> 31 CC.GHG.MEMG.EI
#> 32 CC.GHG.MEMG.GC
#> 33 CC.INCP.ALRS
#> 34 CC.INCP.KRGC
#> 35 CC.INCP.SPMC
#> 36 CC.RISK.AST.ZS
#> 37 CC.RISK.WELL.ZS
#> 38 CC.SP.EXP.ZS
#> 39 CM.FIN.INTL.GD.ZS
#> 40 CM.MKT.LCAP.GD.ZS
#> 41 CM.MKT.TRAD.GD.ZS
#> 42 DP.DOD.DECD.CR.BC.Z1
#> 43 DP.DOD.DECD.CR.CG.Z1
#> 44 DP.DOD.DECD.CR.FC.Z1
#> 45 DP.DOD.DECD.CR.GG.Z1
#> 46 DP.DOD.DECD.CR.NF.Z1
#> 47 DP.DOD.DECF.CR.BC.Z1
#> 48 DP.DOD.DECF.CR.CG.Z1
#> 49 DP.DOD.DECF.CR.FC.Z1
#> 50 DP.DOD.DECF.CR.GG.Z1
#> 51 DP.DOD.DECF.CR.NF.Z1
#> 52 DP.DOD.DECN.CR.BC.Z1
#> 53 DP.DOD.DECN.CR.CG.Z1
#> 54 DP.DOD.DECN.CR.FC.Z1
#> 55 DP.DOD.DECN.CR.GG.Z1
#> 56 DP.DOD.DECN.CR.NF.Z1
#> 57 DP.DOD.DECT.CR.BC.Z1
#> 58 DP.DOD.DECT.CR.CG.Z1
#> 59 DP.DOD.DECT.CR.FC.Z1
#> 60 DP.DOD.DECT.CR.GG.Z1
#> 61 DP.DOD.DECT.CR.NF.Z1
#> 62 DP.DOD.DECX.CR.BC.Z1
#> 63 DP.DOD.DECX.CR.CG.Z1
#> 64 DP.DOD.DECX.CR.FC.Z1
#> 65 DP.DOD.DECX.CR.GG.Z1
#> 66 DP.DOD.DECX.CR.NF.Z1
#> 67 DP.DOD.DLCD.CR.BC.Z1
#> 68 DP.DOD.DLCD.CR.CG.Z1
#> 69 DP.DOD.DLCD.CR.FC.Z1
#> 70 DP.DOD.DLCD.CR.GG.Z1
#> 71 DP.DOD.DLCD.CR.L1.BC.Z1
#> 72 DP.DOD.DLCD.CR.L1.CG.Z1
#> 73 DP.DOD.DLCD.CR.L1.FC.Z1
#> 74 DP.DOD.DLCD.CR.L1.GG.Z1
#> 75 DP.DOD.DLCD.CR.L1.NF.Z1
#> 76 DP.DOD.DLCD.CR.M1.BC.Z1
#> 77 DP.DOD.DLCD.CR.M1.CG.Z1
#> 78 DP.DOD.DLCD.CR.M1.FC.Z1
#> 79 DP.DOD.DLCD.CR.M1.GG.Z1
#> 80 DP.DOD.DLCD.CR.M1.NF.Z1
#> 81 DP.DOD.DLCD.CR.NF.Z1
#> 82 DP.DOD.DLD1.CR.CG.Z1
#> 83 DP.DOD.DLD1.CR.GG.Z1
#> 84 DP.DOD.DLD2.CR.CG.Z1
#> 85 DP.DOD.DLD2.CR.GG.Z1
#> 86 DP.DOD.DLD2A.CR.CG.Z1
#> 87 DP.DOD.DLD2A.CR.GG.Z1
#> 88 DP.DOD.DLD3.CR.CG.Z1
#> 89 DP.DOD.DLD3.CR.GG.Z1
#> 90 DP.DOD.DLD4.CR.CG.Z1
#> 91 DP.DOD.DLD4.CR.GG.Z1
#> 92 DP.DOD.DLDS.CR.BC.Z1
#> 93 DP.DOD.DLDS.CR.CG.Z1
#> 94 DP.DOD.DLDS.CR.FC.Z1
#> 95 DP.DOD.DLDS.CR.GG.Z1
#> 96 DP.DOD.DLDS.CR.L1.BC.Z1
#> 97 DP.DOD.DLDS.CR.L1.CG.Z1
#> 98 DP.DOD.DLDS.CR.L1.FC.Z1
#> 99 DP.DOD.DLDS.CR.L1.GG.Z1
#> 100 DP.DOD.DLDS.CR.L1.NF.Z1
#> 101 DP.DOD.DLDS.CR.M1.BC.Z1
#> 102 DP.DOD.DLDS.CR.M1.CG.Z1
#> 103 DP.DOD.DLDS.CR.M1.FC.Z1
#> 104 DP.DOD.DLDS.CR.M1.GG.Z1
#> 105 DP.DOD.DLDS.CR.M1.NF.Z1
#> 106 DP.DOD.DLDS.CR.MV.BC.Z1
#> 107 DP.DOD.DLDS.CR.MV.CG.Z1
#> 108 DP.DOD.DLDS.CR.MV.FC.Z1
#> 109 DP.DOD.DLDS.CR.MV.GG.Z1
#> 110 DP.DOD.DLDS.CR.MV.NF.Z1
#> 111 DP.DOD.DLDS.CR.NF.Z1
#> 112 DP.DOD.DLIN.CR.BC.Z1
#> 113 DP.DOD.DLIN.CR.CG.Z1
#> 114 DP.DOD.DLIN.CR.FC.Z1
#> 115 DP.DOD.DLIN.CR.GG.Z1
#> 116 DP.DOD.DLIN.CR.L1.BC.Z1
#> 117 DP.DOD.DLIN.CR.L1.CG.Z1
#> 118 DP.DOD.DLIN.CR.L1.FC.Z1
#> 119 DP.DOD.DLIN.CR.L1.GG.Z1
#> 120 DP.DOD.DLIN.CR.L1.NF.Z1
#> 121 DP.DOD.DLIN.CR.M1.BC.Z1
#> 122 DP.DOD.DLIN.CR.M1.CG.Z1
#> 123 DP.DOD.DLIN.CR.M1.FC.Z1
#> 124 DP.DOD.DLIN.CR.M1.GG.Z1
#> 125 DP.DOD.DLIN.CR.M1.NF.Z1
#> 126 DP.DOD.DLIN.CR.NF.Z1
#> 127 DP.DOD.DLLO.CR.BC.Z1
#> 128 DP.DOD.DLLO.CR.CG.Z1
#> 129 DP.DOD.DLLO.CR.FC.Z1
#> 130 DP.DOD.DLLO.CR.GG.Z1
#> 131 DP.DOD.DLLO.CR.L1.BC.Z1
#> 132 DP.DOD.DLLO.CR.L1.CG.Z1
#> 133 DP.DOD.DLLO.CR.L1.FC.Z1
#> 134 DP.DOD.DLLO.CR.L1.GG.Z1
#> 135 DP.DOD.DLLO.CR.L1.NF.Z1
#> 136 DP.DOD.DLLO.CR.M1.BC.Z1
#> 137 DP.DOD.DLLO.CR.M1.CG.Z1
#> 138 DP.DOD.DLLO.CR.M1.FC.Z1
#> 139 DP.DOD.DLLO.CR.M1.GG.Z1
#> 140 DP.DOD.DLLO.CR.M1.NF.Z1
#> 141 DP.DOD.DLLO.CR.NF.Z1
#> 142 DP.DOD.DLOA.CR.BC.Z1
#> 143 DP.DOD.DLOA.CR.CG.Z1
#> 144 DP.DOD.DLOA.CR.FC.Z1
#> 145 DP.DOD.DLOA.CR.GG.Z1
#> 146 DP.DOD.DLOA.CR.L1.BC.Z1
#> 147 DP.DOD.DLOA.CR.L1.CG.Z1
#> 148 DP.DOD.DLOA.CR.L1.FC.Z1
#> 149 DP.DOD.DLOA.CR.L1.GG.Z1
#> 150 DP.DOD.DLOA.CR.L1.NF.Z1
#> 151 DP.DOD.DLOA.CR.M1.BC.Z1
#> 152 DP.DOD.DLOA.CR.M1.CG.Z1
#> 153 DP.DOD.DLOA.CR.M1.FC.Z1
#> 154 DP.DOD.DLOA.CR.M1.GG.Z1
#> 155 DP.DOD.DLOA.CR.M1.NF.Z1
#> 156 DP.DOD.DLOA.CR.NF.Z1
#> 157 DP.DOD.DLSD.CR.BC.Z1
#> 158 DP.DOD.DLSD.CR.CG.Z1
#> 159 DP.DOD.DLSD.CR.FC.Z1
#> 160 DP.DOD.DLSD.CR.GG.Z1
#> 161 DP.DOD.DLSD.CR.M1.BC.Z1
#> 162 DP.DOD.DLSD.CR.M1.CG.Z1
#> 163 DP.DOD.DLSD.CR.M1.FC.Z1
#> 164 DP.DOD.DLSD.CR.M1.GG.Z1
#> 165 DP.DOD.DLSD.CR.M1.NF.Z1
#> 166 DP.DOD.DLSD.CR.NF.Z1
#> 167 DP.DOD.DLTC.CR.BC.Z1
#> 168 DP.DOD.DLTC.CR.CG.Z1
#> 169 DP.DOD.DLTC.CR.FC.Z1
#> 170 DP.DOD.DLTC.CR.GG.Z1
#> 171 DP.DOD.DLTC.CR.L1.BC.Z1
#> 172 DP.DOD.DLTC.CR.L1.CG.Z1
#> 173 DP.DOD.DLTC.CR.L1.FC.Z1
#> 174 DP.DOD.DLTC.CR.L1.GG.Z1
#> 175 DP.DOD.DLTC.CR.L1.NF.Z1
#> 176 DP.DOD.DLTC.CR.M1.BC.Z1
#> 177 DP.DOD.DLTC.CR.M1.CG.Z1
#> 178 DP.DOD.DLTC.CR.M1.FC.Z1
#> 179 DP.DOD.DLTC.CR.M1.GG.Z1
#> 180 DP.DOD.DLTC.CR.M1.NF.Z1
#> 181 DP.DOD.DLTC.CR.NF.Z1
#> 182 DP.DOD.DSCD.CR.BC.Z1
#> 183 DP.DOD.DSCD.CR.CG.Z1
#> 184 DP.DOD.DSCD.CR.FC.Z1
#> 185 DP.DOD.DSCD.CR.GG.Z1
#> 186 DP.DOD.DSCD.CR.NF.Z1
#> 187 DP.DOD.DSDS.CR.BC.Z1
#> 188 DP.DOD.DSDS.CR.CG.Z1
#> 189 DP.DOD.DSDS.CR.FC.Z1
#> 190 DP.DOD.DSDS.CR.GG.Z1
#> 191 DP.DOD.DSDS.CR.NF.Z1
#> 192 DP.DOD.DSIN.CR.BC.Z1
#> 193 DP.DOD.DSIN.CR.CG.Z1
#> 194 DP.DOD.DSIN.CR.FC.Z1
#> 195 DP.DOD.DSIN.CR.GG.Z1
#> 196 DP.DOD.DSIN.CR.NF.Z1
#> 197 DP.DOD.DSLO.CR.BC.Z1
#> 198 DP.DOD.DSLO.CR.CG.Z1
#> 199 DP.DOD.DSLO.CR.FC.Z1
#> 200 DP.DOD.DSLO.CR.GG.Z1
#> 201 DP.DOD.DSLO.CR.NF.Z1
#> 202 DP.DOD.DSOA.CR.BC.Z1
#> 203 DP.DOD.DSOA.CR.CG.Z1
#> 204 DP.DOD.DSOA.CR.FC.Z1
#> 205 DP.DOD.DSOA.CR.GG.Z1
#> 206 DP.DOD.DSOA.CR.NF.Z1
#> 207 DP.DOD.DSTC.CR.BC.Z1
#> 208 DP.DOD.DSTC.CR.CG.Z1
#> 209 DP.DOD.DSTC.CR.FC.Z1
#> 210 DP.DOD.DSTC.CR.GG.Z1
#> 211 DP.DOD.DSTC.CR.NF.Z1
#> 212 DT.DOD.ALLC.ZSG
#> 213 DT.DOD.ALLN.ZSG
#> 214 DT.DOD.ALLN.ZSX
#> 215 DT.DOD.DECT.CD.ZSG
#> 216 DT.ODA.ALLD.GD.ZS
#> 217 DT.ODA.DACD.ZSG
#> 218 DT.ODA.MULT.ZSG
#> 219 DT.ODA.NDAC.ZSG
#> 220 DT.ODA.ODAT.GD.ZS
#> 221 DT.TDS.DECT.GD.ZS
#> 222 EF.EFM.OVRL.XD
#> 223 EF.EFM.UNIV.XD
#> 224 EG.EGY.PRIM.PP.KD
#> 225 EG.GDP.PUSE.KO.87
#> 226 EG.GDP.PUSE.KO.KD
#> 227 EG.GDP.PUSE.KO.PP
#> 228 EG.GDP.PUSE.KO.PP.KD
#> 229 EG.USE.COMM.GD.PP.KD
#> 230 EN.ATM.CO2E.GDP
#> 231 EN.ATM.CO2E.KD.87.GD
#> 232 EN.ATM.CO2E.KD.GD
#> 233 EN.ATM.CO2E.PP.GD
#> 234 EN.ATM.CO2E.PP.GD.KD
#> 235 EN.GHG.CO2.RT.GDP.KD
#> 236 EN.GHG.CO2.RT.GDP.PP.KD
#> 237 ER.GDP.FWTL.M3.KD
#> 238 EU.EGY.USES.GDP
#> 239 FB.DPT.INSU.PC.ZS
#> 240 FD.AST.PRVT.GD.ZS
#> 241 FI.RES.TOTL.CD.ZS
#> 242 FM.AST.GOVT.CN.ZS
#> 243 FM.AST.PRVT.GD.ZS
#> 244 FM.LBL.BMNY.GD.ZS
#> 245 FM.LBL.MQMY.GD.ZS
#> 246 FM.LBL.MQMY.GDP.ZS
#> 247 FM.LBL.MQMY.XD
#> 248 FM.LBL.QMNY.GDP.ZS
#> 249 FM.LBL.SEIG.GDP.ZS
#> 250 FR.INR.DPST.DP
#> 251 FR.INR.RINR
#> 252 FS.AST.CGOV.GD.ZS
#> 253 FS.AST.DOMO.GD.ZS
#> 254 FS.AST.DOMS.GD.ZS
#> 255 FS.AST.DTOT.ZS
#> 256 FS.AST.PRVT.GD.ZS
#> 257 FS.AST.PRVT.GDP.ZS
#> 258 FS.LBL.LIQU.GD.ZS
#> 259 FS.LBL.LIQU.GDP.ZS
#> 260 FS.LBL.QLIQ.GD.ZS
#> 261 GB.BAL.OVRL.GD.ZS
#> 262 GB.BAL.OVRL.GDP.ZS
#> 263 GB.DOD.TOTL.GD.ZS
#> 264 GB.DOD.TOTL.GDP.ZS
#> 265 GB.FIN.ABRD.GD.ZS
#> 266 GB.FIN.ABRD.GDP.ZS
#> 267 GB.FIN.DOMS.GD.ZS
#> 268 GB.FIN.DOMS.GDP.ZS
#> 269 GB.REV.CTOT.GD.ZS
#> 270 GB.REV.TOTL.GDP.ZS
#> 271 GB.REV.XAGT.CN.ZS
#> 272 GB.RVC.TOTL.GD.ZS
#> 273 GB.SOE.DECT.ZS
#> 274 GB.SOE.ECON.GD.ZS
#> 275 GB.SOE.ECON.GDP.ZS
#> 276 GB.SOE.NFLW.GD.ZS
#> 277 GB.SOE.NFLW.GDP.ZS
#> 278 GB.SOE.OVRL.GD.ZS
#> 279 GB.SOE.OVRL.GDP.ZS
#> 280 GB.TAX.TOTL.GD.ZS
#> 281 GB.TAX.TOTL.GDP.ZS
#> 282 GB.XPD.DEFN.GDP.ZS
#> 283 GB.XPD.RSDV.GD.ZS
#> 284 GB.XPD.TOTL.GD.ZS
#> 285 GB.XPD.TOTL.GDP.ZS
#> 286 GC.AST.TOTL.GD.ZS
#> 287 GC.BAL.CASH.GD.ZS
#> 288 GC.DOD.TOTL.GD.ZS
#> 289 GC.FIN.DOMS.GD.ZS
#> 290 GC.FIN.FRGN.GD.ZS
#> 291 GC.LBL.TOTL.GD.ZS
#> 292 GC.NFN.TOTL.GD.ZS
#> 293 GC.NLD.TOTL.GD.ZS
#> 294 GC.REV.XGRT.GD.ZS
#> 295 GC.TAX.TOTL.GD.ZS
#> 296 GC.XPN.TOTL.GD.ZS
#> 297 GFDD.DI.01
#> 298 GFDD.DI.02
#> 299 GFDD.DI.03
#> 300 GFDD.DI.05
#> 301 GFDD.DI.06
#> 302 GFDD.DI.07
#> 303 GFDD.DI.08
#> 304 GFDD.DI.09
#> 305 GFDD.DI.10
#> 306 GFDD.DI.11
#> 307 GFDD.DI.12
#> 308 GFDD.DI.13
#> 309 GFDD.DI.14
#> 310 GFDD.DM.01
#> 311 GFDD.DM.02
#> 312 GFDD.DM.03
#> 313 GFDD.DM.04
#> 314 GFDD.DM.05
#> 315 GFDD.DM.06
#> 316 GFDD.DM.07
#> 317 GFDD.DM.08
#> 318 GFDD.DM.09
#> 319 GFDD.DM.10
#> 320 GFDD.DM.11
#> 321 GFDD.DM.12
#> 322 GFDD.DM.13
#> 323 GFDD.DM.16
#> 324 GFDD.EI.08
#> 325 GFDD.OI.02
#> 326 GFDD.OI.08
#> 327 GFDD.OI.09
#> 328 GFDD.OI.13
#> 329 GFDD.OI.14
#> 330 GFDD.OI.17
#> 331 GFDD.OI.18
#> 332 GFDD.OI.19
#> 333 IC.FRM.PROD.GROW.PEFT3
#> 334 IC.FRM.SLS.GROW.PEFT1
#> 335 IE.ICT.TOTL.GD.ZS
#> 336 IN.EC.GSDP.PERCAP.NOM.INR
#> 337 IN.EC.GSDP.PERCAP.NOM.USD
#> 338 IN.EC.GSDP.PERCAP.REAL.INR
#> 339 IN.EC.GSDP.PERCAP.REAL.INR.GRWTHRAT
#> 340 IN.EC.GSDP.PERCAP.REAL.USD
#> 341 IN.EC.GSDP.PERCAP.REAL.USD.GRWTHRAT
#> 342 IS.RRS.GOOD.KM.PP.ZS
#> 343 IS.RRS.PASG.K2.PP.ZS
#> 344 IT.TEL.REVN.GD.ZS
#> 345 MO.INDEX.ECON.XQ
#> 346 MS.MIL.XPND.GD.ZS
#> 347 NA.GDP.ACC.FB.SNA08.CR
#> 348 NA.GDP.ACC.FB.SNA08.KR
#> 349 NA.GDP.AGR.CR
#> 350 NA.GDP.AGR.KR
#> 351 NA.GDP.AGR.SNA08.CR
#> 352 NA.GDP.AGR.SNA08.KR
#> 353 NA.GDP.BUSS.SNA08.CR
#> 354 NA.GDP.BUSS.SNA08.KR
#> 355 NA.GDP.CNST.CR
#> 356 NA.GDP.CNST.KR
#> 357 NA.GDP.CNST.SNA08.CR
#> 358 NA.GDP.CNST.SNA08.KR
#> 359 NA.GDP.EDUS.SNA08.CR
#> 360 NA.GDP.EDUS.SNA08.KR
#> 361 NA.GDP.ELEC.GAS.SNA08.CR
#> 362 NA.GDP.ELEC.GAS.SNA08.KR
#> 363 NA.GDP.EXC.OG.CR
#> 364 NA.GDP.EXC.OG.KR
#> 365 NA.GDP.FINS.CR
#> 366 NA.GDP.FINS.KR
#> 367 NA.GDP.FINS.SNA08.CR
#> 368 NA.GDP.FINS.SNA08.KR
#> 369 NA.GDP.HLTH.SOCW.SNA08.CR
#> 370 NA.GDP.HLTH.SOCW.SNA08.KR
#> 371 NA.GDP.INC.OG.CR
#> 372 NA.GDP.INC.OG.KR
#> 373 NA.GDP.INC.OG.SNA08.CR
#> 374 NA.GDP.INC.OG.SNA08.KR
#> 375 NA.GDP.INF.COMM.SNA08.CR
#> 376 NA.GDP.INF.COMM.SNA08.KR
#> 377 NA.GDP.MINQ.CR
#> 378 NA.GDP.MINQ.KR
#> 379 NA.GDP.MINQ.SNA08.CR
#> 380 NA.GDP.MINQ.SNA08.KR
#> 381 NA.GDP.MNF.CR
#> 382 NA.GDP.MNF.KR
#> 383 NA.GDP.MNF.SNA08.CR
#> 384 NA.GDP.MNF.SNA08.KR
#> 385 NA.GDP.PADM.DEF.SNA08.CR
#> 386 NA.GDP.PADM.DEF.SNA08.KR
#> 387 NA.GDP.REST.SNA08.CR
#> 388 NA.GDP.REST.SNA08.KR
#> 389 NA.GDP.SRV.OTHR.CR
#> 390 NA.GDP.SRV.OTHR.KR
#> 391 NA.GDP.SRV.OTHR.SNA08.CR
#> 392 NA.GDP.SRV.OTHR.SNA08.KR
#> 393 NA.GDP.TRAN.COMM.CR
#> 394 NA.GDP.TRAN.COMM.KR
#> 395 NA.GDP.TRAN.STOR.SNA08.CR
#> 396 NA.GDP.TRAN.STOR.SNA08.KR
#> 397 NA.GDP.TRD.HTL.CR
#> 398 NA.GDP.TRD.HTL.KR
#> 399 NA.GDP.TRD.SNA08.CR
#> 400 NA.GDP.TRD.SNA08.KR
#> 401 NA.GDP.UTL.CR
#> 402 NA.GDP.UTL.KR
#> 403 NA.GDP.WTR.WST.SNA08.CR
#> 404 NA.GDP.WTR.WST.SNA08.KR
#> 405 NE.CON.GOVT.ZS
#> 406 NE.CON.PCAP.PP.CD
#> 407 NE.CON.PCAP.PP.KD
#> 408 NE.CON.PETC.ZS
#> 409 NE.CON.PRVT.PP.CD
#> 410 NE.CON.PRVT.PP.KD
#> 411 NE.CON.PRVT.ZS
#> 412 NE.CON.TETC.ZS
#> 413 NE.CON.TOTL.ZG
#> 414 NE.CON.TOTL.ZS
#> 415 NE.DAB.TOTL.ZS
#> 416 NE.EXP.GNFS.ZS
#> 417 NE.GDI.CON.GOVT.CR
#> 418 NE.GDI.CON.GOVT.SNA08.CR
#> 419 NE.GDI.CON.NPI.CR
#> 420 NE.GDI.CON.NPI.SNA08.CR
#> 421 NE.GDI.CON.PRVT.CR
#> 422 NE.GDI.CON.PRVT.SNA08.CR
#> 423 NE.GDI.EXPT.CR
#> 424 NE.GDI.EXPT.SNA08.CR
#> 425 NE.GDI.FPRV.ZS
#> 426 NE.GDI.FPUB.ZS
#> 427 NE.GDI.FTOT.CR
#> 428 NE.GDI.FTOT.SNA08.CR
#> 429 NE.GDI.FTOT.ZS
#> 430 NE.GDI.IMPT.CR
#> 431 NE.GDI.IMPT.SNA08.CR
#> 432 NE.GDI.INEX.SNA08.CR
#> 433 NE.GDI.STKB.CR
#> 434 NE.GDI.STKB.SNA08.CR
#> 435 NE.GDI.TOTL.CR
#> 436 NE.GDI.TOTL.SNA08.CR
#> 437 NE.GDI.TOTL.ZG
#> 438 NE.GDI.TOTL.ZS
#> 439 NE.IMP.GNFS.ZS
#> 440 NE.MRCH.GDP.ZS
#> 441 NE.RSB.GNFS.ZG
#> 442 NE.RSB.GNFS.ZS
#> 443 NE.TRD.GNFS.ZS
#> 444 NP.AGR.TOTL.ZG
#> 445 NP.IND.TOTL.ZG
#> 446 NP.SRV.TOTL.ZG
#> 447 NV.AGR.PCAP.KD.ZG
#> 448 NV.AGR.TOTL.ZG
#> 449 NV.AGR.TOTL.ZS
#> 450 NV.IND.MANF.ZS
#> 451 NV.IND.TOTL.ZG
#> 452 NV.IND.TOTL.ZS
#> 453 NV.SRV.DISC.CD
#> 454 NV.SRV.DISC.CN
#> 455 NV.SRV.DISC.KN
#> 456 NV.SRV.TETC.ZG
#> 457 NV.SRV.TETC.ZS
#> 458 NV.SRV.TOTL.ZS
#> 459 NW.HCA.FEMA.PC
#> 460 NW.HCA.FEMA.TO
#> 461 NW.HCA.MALE.PC
#> 462 NW.HCA.MALE.TO
#> 463 NW.HCA.PC
#> 464 NW.HCA.TO
#> 465 NW.NCA.AGRI.PC
#> 466 NW.NCA.AGRI.TO
#> 467 NW.NCA.FISH.PC
#> 468 NW.NCA.FISH.TO
#> 469 NW.NCA.FTIM.PC
#> 470 NW.NCA.FTIM.TO
#> 471 NW.NCA.MANG.PC
#> 472 NW.NCA.MANG.TO
#> 473 NW.NCA.MINR.PC
#> 474 NW.NCA.MINR.TO
#> 475 NW.NCA.SACO.PC
#> 476 NW.NCA.SACO.TO
#> 477 NW.NCA.SAGA.PC
#> 478 NW.NCA.SAGA.TO
#> 479 NW.NCA.SAOI.PC
#> 480 NW.NCA.SAOI.TO
#> 481 NW.NCA.SSOI.PC
#> 482 NW.NCA.SSOI.TO
#> 483 NW.NFA.PC
#> 484 NW.NFA.TO
#> 485 NW.PCA.PC
#> 486 NW.PCA.TO
#> 487 NW.TOW.PC
#> 488 NW.TOW.TO
#> 489 NY.AGR.SUBS.GD.ZS
#> 490 NY.GDP.COAL.RT.ZS
#> 491 NY.GDP.DEFL.87.ZG
#> 492 NY.GDP.DEFL.KD.ZG
#> 493 NY.GDP.DEFL.KD.ZG.AD
#> 494 NY.GDP.DEFL.ZS
#> 495 NY.GDP.DEFL.ZS.87
#> 496 NY.GDP.DEFL.ZS.AD
#> 497 NY.GDP.DISC.CD
#> 498 NY.GDP.DISC.CN
#> 499 NY.GDP.DISC.KN
#> 500 NY.GDP.FCST.CD
#> 501 NY.GDP.FCST.CN
#> 502 NY.GDP.FCST.KD
#> 503 NY.GDP.FCST.KD.87
#> 504 NY.GDP.FCST.KN
#> 505 NY.GDP.FCST.KN.87
#> 506 NY.GDP.FRST.RT.ZS
#> 507 NY.GDP.MINR.RT.ZS
#> 508 NY.GDP.MKTP.CD
#> 509 NY.GDP.MKTP.CD.XD
#> 510 NY.GDP.MKTP.CN
#> 511 NY.GDP.MKTP.CN.AD
#> 512 NY.GDP.MKTP.CN.XD
#> 513 NY.GDP.MKTP.IN
#> 514 NY.GDP.MKTP.KD
#> 515 NY.GDP.MKTP.KD.87
#> 516 NY.GDP.MKTP.KD.ZG
#> 517 NY.GDP.MKTP.KN
#> 518 NY.GDP.MKTP.KN.87
#> 519 NY.GDP.MKTP.KN.87.ZG
#> 520 NY.GDP.MKTP.PP.CD
#> 521 NY.GDP.MKTP.PP.KD
#> 522 NY.GDP.MKTP.PP.KD.87
#> 523 NY.GDP.MKTP.XD
#> 524 NY.GDP.MKTP.XU.E
#> 525 NY.GDP.MKTP.ZG
#> 526 NY.GDP.NGAS.RT.ZS
#> 527 NY.GDP.PCAP.CD
#> 528 NY.GDP.PCAP.CN
#> 529 NY.GDP.PCAP.KD
#> 530 NY.GDP.PCAP.KD.ZG
#> 531 NY.GDP.PCAP.KN
#> 532 NY.GDP.PCAP.PP.CD
#> 533 NY.GDP.PCAP.PP.KD
#> 534 NY.GDP.PCAP.PP.KD.87
#> 535 NY.GDP.PCAP.PP.KD.ZG
#> 536 NY.GDP.PETR.RT.ZS
#> 537 NY.GDP.TOTL.RT.ZS
#> 538 NY.GDS.TOTL.CD
#> 539 NY.GDS.TOTL.CN
#> 540 NY.GDS.TOTL.KD
#> 541 NY.GDS.TOTL.KN
#> 542 NY.GDS.TOTL.ZS
#> 543 NY.GDY.TOTL.KD
#> 544 NY.GDY.TOTL.KN
#> 545 NY.GEN.AEDU.GD.ZS
#> 546 NY.GEN.DCO2.GD.ZS
#> 547 NY.GEN.DFOR.GD.ZS
#> 548 NY.GEN.DKAP.GD.ZS
#> 549 NY.GEN.DMIN.GD.ZS
#> 550 NY.GEN.DNGY.GD.ZS
#> 551 NY.GEN.NDOM.GD.ZS
#> 552 NY.GEN.SVNG.GD.ZS
#> 553 NY.GNP.MKTP.PP.CD
#> 554 NY.GNP.MKTP.PP.KD
#> 555 NY.GNP.PCAP.PP.CD
#> 556 NY.GNP.PCAP.PP.KD
#> 557 NY.GNS.ICTR.ZS
#> 558 NYGDPMKTPKDZ
#> 559 NYGDPMKTPSACD
#> 560 NYGDPMKTPSACN
#> 561 NYGDPMKTPSAKD
#> 562 NYGDPMKTPSAKN
#> 563 PA.NUS.GDP.PLI
#> 564 PA.NUS.PPP
#> 565 PA.NUS.PPP.05
#> 566 PA.NUS.PPPC.RF
#> 567 PA.NUS.PRVT.PP
#> 568 PER.ALL.CNTRL.GDP
#> 569 PER.ALL.CPL.GDP
#> 570 PER.ALL.PS.GDP
#> 571 PER.ALL.RCT.GDP
#> 572 PER.ALL.SAL.GDP
#> 573 PER.ALL.SUB.GDP
#> 574 PER.ALL.TSAL.GDP
#> 575 PER.ALL.TTL.GDP
#> 576 PER.ALL.TTL.GDP.GOV
#> 577 PER.BAS.GDP
#> 578 PER.BAS.PS.GDP
#> 579 PER.BAS.SAL.GDP
#> 580 PER.EFF.GDP
#> 581 PER.EFF.SUB.GDP
#> 582 PER.EFF.TEACH.GDP
#> 583 PER.JR.PS.GDP
#> 584 PER.JR.SAL.GDP
#> 585 PER.OC.FEED.GDP
#> 586 PER.OC.TRA.GDP
#> 587 PER.PP.GDP
#> 588 PER.PP.PS.GDP
#> 589 PER.PRM.GDP
#> 590 PER.PRM.PS.GDP
#> 591 PER.PRM.RCT.GDP
#> 592 PER.PRM.SAL.GDP
#> 593 PER.SEC.GDP
#> 594 PER.SEC.PS.GDP
#> 595 PER.SEC.RCT.GDP
#> 596 PER.SEC.SAL.GDP
#> 597 PER.SOR.GOV.GDP
#> 598 PER.SOR.ITL.GDP
#> 599 PER.SOR.PVT.GDP
#> 600 PER.SOR.PVT.GDP.PP
#> 601 PER.SOR.PVT.GDP.PRM
#> 602 PER.SOR.PVT.GDP.SEC
#> 603 PER.SOR.PVT.GDP.TER
#> 604 PER.SR.PS.GDP
#> 605 PER.SR.SAL.GDP
#> 606 PER.TER.GDP
#> 607 PER.TER.PS.GDP
#> 608 PER.TER.RCT.GDP
#> 609 PER.TER.SAL.GDP
#> 610 PER.TT.PS.GDP
#> 611 PER.VOC.GDP
#> 612 PER.VOC.PS.GDP
#> 613 REV.DAU.CR
#> 614 SE.PRM.BFIN.6
#> 615 SE.PRM.SATT.2
#> 616 SE.PRM.TATT.1
#> 617 SE.XPD.EDUC.ZS
#> 618 SE.XPD.PRIM.GDP.ZS
#> 619 SE.XPD.PRIM.PC.ZS
#> 620 SE.XPD.SECO.GDP.ZS
#> 621 SE.XPD.SECO.PC.ZS
#> 622 SE.XPD.TERT.GDP.ZS
#> 623 SE.XPD.TERT.PC.ZS
#> 624 SE.XPD.TOTL.GD.ZS
#> 625 SF.TRN.RAIL.KM.ZS
#> 626 SH.STA.MMRT
#> 627 SH.XPD.CHEX.GD.ZS
#> 628 SH.XPD.GHED.GD.ZS
#> 629 SH.XPD.HLTH.ZS
#> 630 SH.XPD.KHEX.GD.ZS
#> 631 SH.XPD.PRIV.ZS
#> 632 SH.XPD.PUBL.ZS
#> 633 SH.XPD.TOTL.ZS
#> 634 SL.GDP.PCAP.EM.KD
#> 635 SL.GDP.PCAP.EM.KD.ZG
#> 636 SL.GDP.PCAP.EM.XD
#> 637 SPI.D5.2.3.CNIN
#> 638 SPI.D5.2.5.HOUS
#> 639 SPI.D5.5.DIFI
#> 640 TG.VAL.TOTL.GD.PP.ZS
#> 641 TG.VAL.TOTL.GD.ZS
#> 642 TG.VAL.TOTL.GG.ZS
#> 643 UIS.X.PPPCONST.02.FSGOV
#> 644 UIS.X.PPPCONST.1.FSGOV
#> 645 UIS.X.PPPCONST.2.FSGOV
#> 646 UIS.X.PPPCONST.2T3.FSGOV
#> 647 UIS.X.PPPCONST.2T4.V.FSGOV
#> 648 UIS.X.PPPCONST.3.FSGOV
#> 649 UIS.X.PPPCONST.4.FSGOV
#> 650 UIS.X.PPPCONST.5T8.FSGOV
#> 651 UIS.X.PPPCONST.FSGOV
#> 652 UIS.X.PPPCONST.UK.FSGOV
#> 653 UIS.X.USCONST.02.FSGOV
#> 654 UIS.X.USCONST.1.FSGOV
#> 655 UIS.X.USCONST.2.FSGOV
#> 656 UIS.X.USCONST.2T3.FSGOV
#> 657 UIS.X.USCONST.2T4.V.FSGOV
#> 658 UIS.X.USCONST.3.FSGOV
#> 659 UIS.X.USCONST.4.FSGOV
#> 660 UIS.X.USCONST.5T8.FSGOV
#> 661 UIS.X.USCONST.FSGOV
#> 662 UIS.X.USCONST.UK.FSGOV
#> 663 UIS.XGDP.0.FSGOV
#> 664 UIS.XGDP.1.FSGOV
#> 665 UIS.XGDP.2.FSGOV
#> 666 UIS.XGDP.23.FSGOV
#> 667 UIS.XGDP.2T4.V.FSGOV
#> 668 UIS.XGDP.3.FSGOV
#> 669 UIS.XGDP.4.FSGOV
#> 670 UIS.XGDP.56.FSGOV
#> 671 UIS.XUNIT.GDPCAP.02.FSGOV
#> 672 UIS.XUNIT.GDPCAP.1.FSGOV
#> 673 UIS.XUNIT.GDPCAP.1.FSHH
#> 674 UIS.XUNIT.GDPCAP.2.FSGOV
#> 675 UIS.XUNIT.GDPCAP.23.FSGOV
#> 676 UIS.XUNIT.GDPCAP.23.FSHH
#> 677 UIS.XUNIT.GDPCAP.3.FSGOV
#> 678 UIS.XUNIT.GDPCAP.5T8.FSGOV
#> 679 UIS.XUNIT.GDPCAP.5T8.FSHH
#> name
#> 1 GDP (current $)
#> 2 GDP growth (annual %)
#> 3 GDP (constant 2005 $)
#> 4 GDP per capita, PPP (constant 2011 international $)
#> 5 Trade in services (% of GDP)
#> 6 Gross private capital flows (% of GDP, PPP)
#> 7 Gross private capital flows (% of GDP)
#> 8 Gross foreign direct investment (% of GDP, PPP)
#> 9 Gross foreign direct investment (% of GDP)
#> 10 Wage bill as a percentage of GDP
#> 11 Merchandise imports (BOP): percentage of GDP (%)
#> 12 Foreign direct investment, net outflows (% of GDP)
#> 13 Foreign direct investment, net outflows (% of GDP)
#> 14 Current account balance (% of GDP)
#> 15 Current account balance (% of GDP)
#> 16 Curr. acc. bal. before official transf. (% of GDP)
#> 17 Current account balance excluding net official capital grants (% of GDP)
#> 18 Net income (% of GDP)
#> 19 Foreign direct investment (% of GDP)
#> 20 Foreign direct investment, net inflows (% of GDP)
#> 21 Private capital flows, total (% of GDP)
#> 22 Net current transfers (% of GDP)
#> 23 Merchandise exports (BOP): percentage of GDP (%)
#> 24 Foreign direct investment, net inflows (% of GDP)
#> 25 Foreign direct investment, net inflows (% of GDP)
#> 26 Migrant remittance inflows (% of GDP)
#> 27 Personal remittances, received (% of GDP)
#> 28 Workers' remittances, receipts (% of GDP)
#> 29 Total energy tax revenue (% of GDP)
#> 30 Total environmental tax revenue (% of GDP)
#> 31 Macro drivers of GHG emissions growth in the period 2012-2018 - Emission Intensity of GDP
#> 32 Macro drivers of GHG emissions growth in the period 2012-2018 - GDP per capita
#> 33 Annual investment needs for coastal protection, by risk strategy (% of GDP) - low risk tolerance
#> 34 Annual investment needs for coastal protection, by risk strategy (% of GDP) - constant relative flood risk
#> 35 Annual investment needs for coastal protection, by risk strategy (% of GDP) - optimal protection
#> 36 Risk to asset (average annual losses as % of GDP)
#> 37 Risk to wellbeing (average annual losses as % of GDP)
#> 38 Public social protection expenditure (%of GDP)
#> 39 Financing via international capital markets (gross inflows, % of GDP)
#> 40 Market capitalization of listed domestic companies (% of GDP)
#> 41 Stocks traded, total value (% of GDP)
#> 42 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 43 Gross PSD, Central Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 44 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 45 Gross PSD, General Gov., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 46 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic creditors, Nominal Value, % of GDP
#> 47 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 48 Gross PSD, Central Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 49 Gross PSD, Financial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 50 Gross PSD, General Gov., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 51 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Foreign currency, Nominal Value, % of GDP
#> 52 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 53 Gross PSD, Central Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 54 Gross PSD, Financial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 55 Gross PSD, General Gov., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 56 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Domestic currency, Nominal Value, % of GDP
#> 57 Gross PSD, Budgetary Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 58 Gross PSD, Central Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 59 Gross PSD, Financial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 60 Gross PSD, General Gov., All maturities, All instruments, Nominal Value, % of GDP
#> 61 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, Nominal Value, % of GDP
#> 62 Gross PSD, Budgetary Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 63 Gross PSD, Central Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 64 Gross PSD, Financial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 65 Gross PSD, General Gov., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 66 Gross PSD, Nonfinancial Public Corp., All maturities, All instruments, External creditors, Nominal Value, % of GDP
#> 67 Gross PSD, Budgetary Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 68 Gross PSD, Central Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 69 Gross PSD, Financial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 70 Gross PSD, General Gov., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 71 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 72 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 73 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 74 Gross PSD, General Gov., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 75 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Currency and deposits, Nominal Value, % of GDP
#> 76 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 77 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 78 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 79 Gross PSD, General Gov., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 80 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Currency and deposits, Nominal Value, % of GDP
#> 81 Gross PSD, Nonfinancial Public Corp., All maturities, Currency and deposits, Nominal Value, % of GDP
#> 82 Gross PSD, Central Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 83 Gross PSD, General Gov.-D1, All maturities, Debt securities + loans, Nominal Value, % of GDP
#> 84 Gross PSD, Central Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 85 Gross PSD, General Gov.-D2, All maturities, D1+ SDRs + currency and deposits, Nominal Value, % of GDP
#> 86 Gross PSD, Central Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 87 Gross PSD, General Gov.-D2A, All maturities, D1+ currency and deposits, Maastricht debt, % of GDP
#> 88 Gross PSD, Central Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 89 Gross PSD, General Gov.-D3, All maturities, D2+other accounts payable, Nominal Value, % of GDP
#> 90 Gross PSD, Central Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 91 Gross PSD, General Gov.-D4, All maturities, D3+insurance, pensions, and standardized guarantees, Nominal Value, % of GDP
#> 92 Gross PSD, Budgetary Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 93 Gross PSD, Central Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 94 Gross PSD, Financial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 95 Gross PSD, General Gov., All maturities, Debt securities, Nominal Value, % of GDP
#> 96 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 97 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 98 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 99 Gross PSD, General Gov., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 100 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Debt securities, Nominal Value, % of GDP
#> 101 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 102 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 103 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 104 Gross PSD, General Gov., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 105 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Debt securities, Nominal Value, % of GDP
#> 106 Gross PSD, Budgetary Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 107 Gross PSD, Central Gov., All maturities, Debt Securities, Market value, % of GDP
#> 108 Gross PSD, Financial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 109 Gross PSD, General Gov., All maturities, Debt Securities, Market value, % of GDP
#> 110 Gross PSD, Nonfinancial Public Corp., All maturities, Debt Securities, Market value, % of GDP
#> 111 Gross PSD, Nonfinancial Public Corp., All maturities, Debt securities, Nominal Value, % of GDP
#> 112 Gross PSD, Budgetary Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 113 Gross PSD, Central Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 114 Gross PSD, Financial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 115 Gross PSD, General Gov., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 116 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
#> 117 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 118 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
#> 119 Gross PSD, General Gov., Long-term, With payment due in one year or less, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 120 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
#> 121 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
#> 122 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 123 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
#> 124 Gross PSD, General Gov., Long-term, With payment due in more than one year, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 125 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
#> 126 Gross PSD, Nonfinancial Public Corp., All maturities, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 127 Gross PSD, Budgetary Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 128 Gross PSD, Central Gov., All maturities, Loans, Nominal Value, % of GDP
#> 129 Gross PSD, Financial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 130 Gross PSD, General Gov., All maturities, Loans, Nominal Value, % of GDP
#> 131 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 132 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 133 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 134 Gross PSD, General Gov., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 135 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Loans, Nominal Value, % of GDP
#> 136 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 137 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 138 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 139 Gross PSD, General Gov., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 140 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Loans, Nominal Value, % of GDP
#> 141 Gross PSD, Nonfinancial Public Corp., All maturities, Loans, Nominal Value, % of GDP
#> 142 Gross PSD, Budgetary Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 143 Gross PSD, Central Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 144 Gross PSD, Financial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 145 Gross PSD, General Gov., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 146 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 147 Gross PSD, Central Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 148 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 149 Gross PSD, General Gov., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 150 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, Other accounts payable, Nominal Value, % of GDP
#> 151 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 152 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 153 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 154 Gross PSD, General Gov., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 155 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Other accounts payable, Nominal Value, % of GDP
#> 156 Gross PSD, Nonfinancial Public Corp., All maturities, Other accounts payable, Nominal Value, % of GDP
#> 157 Gross PSD, Budgetary Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 158 Gross PSD, Central Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 159 Gross PSD, Financial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 160 Gross PSD, General Gov., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 161 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 162 Gross PSD, Central Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 163 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 164 Gross PSD, General Gov., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 165 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, Special Drawing Rights, Nominal Value, % of GDP
#> 166 Gross PSD, Nonfinancial Public Corp., All maturities, Special Drawing Rights, Nominal Value, % of GDP
#> 167 Gross PSD, Budgetary Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 168 Gross PSD, Central Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 169 Gross PSD, Financial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 170 Gross PSD, General Gov., Long-term, All instruments, Nominal Value, % of GDP
#> 171 Gross PSD, Budgetary Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 172 Gross PSD, Central Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 173 Gross PSD, Financial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 174 Gross PSD, General Gov., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 175 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in one year or less, All instruments, Nominal Value, % of GDP
#> 176 Gross PSD, Budgetary Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 177 Gross PSD, Central Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 178 Gross PSD, Financial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 179 Gross PSD, General Gov., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 180 Gross PSD, Nonfinancial Public Corp., Long-term, With payment due in more than one year, All instruments, Nominal Value, % of GDP
#> 181 Gross PSD, Nonfinancial Public Corp., Long-term, All instruments, Nominal Value, % of GDP
#> 182 Gross PSD, Budgetary Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 183 Gross PSD, Central Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 184 Gross PSD, Financial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 185 Gross PSD, General Gov., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 186 Gross PSD, Nonfinancial Public Corp., Short-term, Currency and deposits, Nominal Value, % of GDP
#> 187 Gross PSD, Budgetary Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 188 Gross PSD, Central Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 189 Gross PSD, Financial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 190 Gross PSD, General Gov., Short-term, Debt securities, Nominal Value, % of GDP
#> 191 Gross PSD, Nonfinancial Public Corp., Short-term, Debt securities, Nominal Value, % of GDP
#> 192 Gross PSD, Budgetary Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 193 Gross PSD, Central Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 194 Gross PSD, Financial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 195 Gross PSD, General Gov., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 196 Gross PSD, Nonfinancial Public Corp., Short-term, Insurance, pensions, and standardized guarantee schemes, Nominal Value, % of GDP
#> 197 Gross PSD, Budgetary Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 198 Gross PSD, Central Gov., Short-term, Loans, Nominal Value, % of GDP
#> 199 Gross PSD, Financial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 200 Gross PSD, General Gov., Short-term, Loans, Nominal Value, % of GDP
#> 201 Gross PSD, Nonfinancial Public Corp., Short-term, Loans, Nominal Value, % of GDP
#> 202 Gross PSD, Budgetary Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 203 Gross PSD, Central Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 204 Gross PSD, Financial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 205 Gross PSD, General Gov., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 206 Gross PSD, Nonfinancial Public Corp., Short-term, Other accounts payable, Nominal Value, % of GDP
#> 207 Gross PSD, Budgetary Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 208 Gross PSD, Central Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 209 Gross PSD, Financial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 210 Gross PSD, General Gov., Short-term, All instruments, Nominal Value, % of GDP
#> 211 Gross PSD, Nonfinancial Public Corp., Short-term, All instruments, Nominal Value, % of GDP
#> 212 Debt on Concessional terms to GDP (% of GDP)
#> 213 Debt on Non-concessional terms to GDP (% of GDP)
#> 214 Debt on Non-concessional terms to export ratio (% of exports)
#> 215 Debt outstanding and disbursed, Total to GDP (% of GDP)
#> 216 Net ODA received (% of GDP)
#> 217 Net ODA received from DAC donors (% of recipient's GDP)
#> 218 Net ODA received from multilateral donors (% of GDP)
#> 219 Net ODA received from non-DAC bilateral donors (% of GDP)
#> 220 Net ODA received (% of GDP)
#> 221 Total debt service (% of GDP)
#> 222 Economic Fitness Metric
#> 223 Universal Economic Fitness Metric
#> 224 Energy intensity level of primary energy (MJ/$2021 PPP GDP)
#> 225 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 226 GDP per unit of energy use (2000 US$ per kg of oil equivalent)
#> 227 GDP per unit of energy use (PPP $ per kg of oil equivalent)
#> 228 GDP per unit of energy use (constant 2021 PPP $ per kg of oil equivalent)
#> 229 Energy use (kg of oil equivalent) per $1,000 GDP (constant 2021 PPP)
#> 230 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 231 CO2 emissions, industrial (kg per 1987 US$ of GDP)
#> 232 CO2 emissions (kg per 2010 US$ of GDP)
#> 233 CO2 emissions (kg per PPP $ of GDP)
#> 234 CO2 emissions (kg per 2011 PPP $ of GDP)
#> 235 Carbon intensity of GDP (kg CO2e per constant 2015 US$ of GDP)
#> 236 Carbon intensity of GDP (kg CO2e per 2021 PPP $ of GDP)
#> 237 Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal)
#> 238 GDP per unit of energy use (1987 US$ per kg of oil equivalent)
#> 239 Deposit insurance coverage (% of GDP per capita)
#> 240 Domestic credit to private sector by banks (% of GDP)
#> 241 Total reserves includes gold (% of GDP)
#> 242 Claims on governments and other public entities (% of GDP)
#> 243 Monetary Sector credit to private sector (% GDP)
#> 244 Broad money (% of GDP)
#> 245 Money and quasi money (M2) as % of GDP
#> 246 Money and quasi money (M2) as % of GDP
#> 247 Income velocity of money (GDP/M2)
#> 248 Quasi-liquid liabilities (% of GDP)
#> 249 Seignorage (% of GDP)
#> 250 Real deposit interest rate (%)
#> 251 Real interest rate (%)
#> 252 Claims on central government, etc. (% GDP)
#> 253 Claims on other sectors of the domestic economy (% of GDP)
#> 254 Domestic credit provided by financial sector (% of GDP)
#> 255 Domestic credit provided by banking sector (% of GDP)
#> 256 Domestic credit to private sector (% of GDP)
#> 257 Credit to private sector (% of GDP)
#> 258 Liquid liabilities (M3) as % of GDP
#> 259 Liquid liabilities (M3) as % of GDP
#> 260 Quasi-liquid liabilities (% of GDP)
#> 261 Overall budget balance, including grants (% of GDP)
#> 262 Overall budget deficit, including grants (% of GDP)
#> 263 Central government debt, total (% of GDP)
#> 264 Central government debt, total (% of GDP)
#> 265 Financing from abroad (% of GDP)
#> 266 Financing from abroad (% of GDP)
#> 267 Domestic financing, total (% of GDP)
#> 268 Domestic finanacing (% of GDP)
#> 269 Current revenue, excluding grants (% of GDP)
#> 270 Current revenue (% of GDP)
#> 271 Central government revenues, excluding all grants (% of GDP)
#> 272 Current revenue, excluding grants (% of GDP)
#> 273 SOE external debt (% of GDP)
#> 274 State-owned enterprises, economic activity (% of GDP)
#> 275 SOE economic activity (% of GDP)
#> 276 State-owned enterprises, net financial flows from government (% of GDP)
#> 277 SOE net financial flows from government (% of GDP)
#> 278 State-owned enterprises, overall balance before transfers (% of GDP)
#> 279 SOE overall balance before transfers (% of total)
#> 280 Tax revenue (% of GDP)
#> 281 Tax revenue (% of GDP)
#> 282 Defense expenditure (% of GDP)
#> 283 Research and development expenditure (% of GDP)
#> 284 Expenditure, total (% of GDP)
#> 285 Total expenditure (% of GDP)
#> 286 Net acquisition of financial assets (% of GDP)
#> 287 Cash surplus/deficit (% of GDP)
#> 288 Central government debt, total (% of GDP)
#> 289 Net incurrence of liabilities, domestic (% of GDP)
#> 290 Net incurrence of liabilities, foreign (% of GDP)
#> 291 Net incurrence of liabilities, total (% of GDP)
#> 292 Net investment in nonfinancial assets (% of GDP)
#> 293 Net lending (+) / net borrowing (-) (% of GDP)
#> 294 Revenue, excluding grants (% of GDP)
#> 295 Tax revenue (% of GDP)
#> 296 Expense (% of GDP)
#> 297 Private credit by deposit money banks to GDP (%)
#> 298 Deposit money banks'' assets to GDP (%)
#> 299 Nonbank financial institutions’ assets to GDP (%)
#> 300 Liquid liabilities to GDP (%)
#> 301 Central bank assets to GDP (%)
#> 302 Mutual fund assets to GDP (%)
#> 303 Financial system deposits to GDP (%)
#> 304 Life insurance premium volume to GDP (%)
#> 305 Non-life insurance premium volume to GDP (%)
#> 306 Insurance company assets to GDP (%)
#> 307 Private credit by deposit money banks and other financial institutions to GDP (%)
#> 308 Pension fund assets to GDP (%)
#> 309 Domestic credit to private sector (% of GDP)
#> 310 Stock market capitalization to GDP (%)
#> 311 Stock market total value traded to GDP (%)
#> 312 Outstanding domestic private debt securities to GDP (%)
#> 313 Outstanding domestic public debt securities to GDP (%)
#> 314 Outstanding international private debt securities to GDP (%)
#> 315 Outstanding international public debt securities to GDP (%)
#> 316 International debt issues to GDP (%)
#> 317 Gross portfolio equity liabilities to GDP (%)
#> 318 Gross portfolio equity assets to GDP (%)
#> 319 Gross portfolio debt liabilities to GDP (%)
#> 320 Gross portfolio debt assets to GDP (%)
#> 321 Syndicated loan issuance volume to GDP (%)
#> 322 Corporate bond issuance volume to GDP (%)
#> 323 Credit flows by fintech and bigtech companies to GDP (%)
#> 324 Credit to government and state-owned enterprises to GDP (%)
#> 325 Bank deposits to GDP (%)
#> 326 Loans from nonresident banks (net) to GDP (%)
#> 327 Loans from nonresident banks (amounts outstanding) to GDP (%)
#> 328 Remittance inflows to GDP (%)
#> 329 Consolidated foreign claims of BIS reporting banks to GDP (%)
#> 330 Global leasing volume to GDP (%)
#> 331 Total factoring volume to GDP (%)
#> 332 Banking crisis dummy (1=banking crisis, 0=none)
#> 333 Real annual labor productivity growth (%)
#> 334 Real annual sales growth (%)
#> 335 Information and communication technology expenditure (% of GDP)
#> 336 Nominal GSDP Per Capita (INR)
#> 337 Nominal GSDP Per Capita (USD)
#> 338 Real GSDP Per Capita (INR)
#> 339 Real GSDP Per Capita (INR) Growth Rate
#> 340 Real GSDP Per Capita (USD)
#> 341 Real GSDP Per Capita (USD) Growth Rate
#> 342 Railways, goods transported (ton-km per PPP $ million of GDP)
#> 343 Railways, passenger-km (per PPP $ million of GDP)
#> 344 Telecommunications revenue (% GDP)
#> 345 Sustainable Economic Opportunity
#> 346 Military expenditure (% of GDP)
#> 347 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Current Price
#> 348 GDP on Accommodation & Food Beverages Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 349 GDP on Agriculture Sector (in IDR Million), Current Price
#> 350 GDP on Agriculture Sector (in IDR Million), Constant Price
#> 351 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Current Price
#> 352 GDP on Agriculture, Forestry & Fisheries Sector (in IDR Million), SNA 2008, Constant Price
#> 353 GDP on Business Services Sector (in IDR Million), SNA 2008, Current Price
#> 354 GDP on Business Services Sector (in IDR Million), SNA 2008, Constant Price
#> 355 GDP on Construction Sector (in IDR Million), Current Price
#> 356 GDP on Construction Sector (in IDR Million), Constant Price
#> 357 GDP on Construction Sector (in IDR Million), SNA 2008, Current Price
#> 358 GDP on Construction Sector (in IDR Million), SNA 2008, Constant Price
#> 359 GDP on Education Services Sector (in IDR Million), SNA 2008, Current Price
#> 360 GDP on Education Services Sector (in IDR Million), SNA 2008, Constant Price
#> 361 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Current Price
#> 362 GDP on Electricity & Gas Supply Sector (in IDR Million), SNA 2008, Constant Price
#> 363 Total GDP excluding Oil and Gas (in IDR Million), Current Price
#> 364 Total GDP excluding Oil and Gas (in IDR Million), Constant Price
#> 365 GDP on Financial Service Sector (in IDR Million), Current Price
#> 366 GDP on Financial Service Sector (in IDR Million), Constant Price
#> 367 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Current Price
#> 368 GDP on Financial & Insurance Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 369 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Current Price
#> 370 GDP on Human Health & Social Work Activity Sector (in IDR Million), SNA 2008, Constant Price
#> 371 Total GDP including Oil and Gas (in IDR Million), Current Price
#> 372 Total GDP including Oil and Gas (in IDR Million), Constant Price
#> 373 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Current Price
#> 374 Total GDP including Oil and Gas (in IDR Million), SNA 2008, Constant Price
#> 375 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Current Price
#> 376 GDP on Information & Communication Sector (in IDR Million), SNA 2008, Constant Price
#> 377 GDP on Mining and Quarrying Sector (in IDR Million), Current Price
#> 378 GDP on Mining and Quarrying Sector (in IDR Million), Constant Price
#> 379 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Current Price
#> 380 GDP on Mining & Quarrying Sector (in IDR Million), SNA 2008, Constant Price
#> 381 GDP on Manufacturing Sector (in IDR Million), Current Price
#> 382 GDP on Manufacturing Sector (in IDR Million), Constant Price
#> 383 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Current Price
#> 384 GDP on Manufacturing Industry Sector (in IDR Million), SNA 2008, Constant Price
#> 385 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Current Price
#> 386 GDP on Public Administration, Defense & Compulsory Social Security Sector (in IDR Million), SNA 2008, Constant Price
#> 387 GDP on Real Estate Sector (in IDR Million), SNA 2008, Current Price
#> 388 GDP on Real Estate Sector (in IDR Million), SNA 2008, Constant Price
#> 389 GDP on Other Service Sector (in IDR Million), Current Price
#> 390 GDP on Other Service Sector (in IDR Million), Constant Price
#> 391 GDP on Other Services Sector (in IDR Million), SNA 2008, Current Price
#> 392 GDP on Other Services Sector (in IDR Million), SNA 2008, Constant Price
#> 393 GDP on Transportation and Telecommunication Sector (in IDR Million), Current Price
#> 394 GDP on Transportation and Telecommunication Sector (in IDR Million), Constant Price
#> 395 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Current Price
#> 396 GDP on Transportation & Storage Sector (in IDR Million), SNA 2008, Constant Price
#> 397 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Current Price
#> 398 GDP on Trade, Hotel and Restaurant Sector (in IDR Million), Constant Price
#> 399 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Current Price
#> 400 GDP on Wholesales & Retail Trade, Repair of Motor Vehicles & Motorcycles Sector (in IDR Million), SNA 2008, Constant Price
#> 401 GDP on Utilities Sector (in IDR Million), Current Price
#> 402 GDP on Utilities Sector (in IDR Million), Constant Price
#> 403 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Current Price
#> 404 GDP on Water Supply, Sewerage, Waste & Recycling Management Sector (in IDR Million), SNA 2008, Constant Price
#> 405 General government final consumption expenditure (% of GDP)
#> 406 Households and NPISHs Final consumption expenditure per capita, PPP (current international $)
#> 407 Households and NPISHs Final consumption expenditure per capita, PPP (constant 2021 international $)
#> 408 Household final consumption expenditure, etc. (% of GDP)
#> 409 Households and NPISHs Final consumption expenditure, PPP (current international $)
#> 410 Households and NPISHs Final consumption expenditure, PPP (constant 2021 international $)
#> 411 Households and NPISHs final consumption expenditure (% of GDP)
#> 412 Final consumption expenditure, etc. (% of GDP)
#> 413 Total consumption: contribution to growth of GDP (%)
#> 414 Final consumption expenditure (% of GDP)
#> 415 Gross national expenditure (% of GDP)
#> 416 Exports of goods and services (% of GDP)
#> 417 GDP expenditure on general government consumption (in IDR Million)
#> 418 GDP expenditure on general government consumption (in IDR Million), SNA 2008, Current Price
#> 419 GDP expenditure on non profit private institution consumption (in IDR Million)
#> 420 GDP expenditure on non profit private institution consumption (in IDR Million), SNA 2008, Current Price
#> 421 GDP expenditure on private consumption (in IDR Million)
#> 422 GDP expenditure on private consumption (in IDR Million), SNA 2008, Current Price
#> 423 GDP expenditure on exports (in IDR Million)
#> 424 GDP expenditure on exports (in IDR Million), SNA 2008, Current Price
#> 425 Gross fixed capital formation, private sector (% of GDP)
#> 426 Gross public investment (% of GDP)
#> 427 GDP expenditure on gross fixed capital formation (in IDR Million)
#> 428 GDP expenditure on gross fixed capital formation (in IDR Million), SNA 2008, Current Price
#> 429 Gross fixed capital formation (% of GDP)
#> 430 GDP expenditure on imports (in IDR Million)
#> 431 GDP expenditure on imports (in IDR Million), SNA 2008, Current Price
#> 432 GDP expenditure on inter-region net exports (in IDR Million), SNA 2008, Current Price
#> 433 GDP expenditure on changes in stock (in IDR Million)
#> 434 GDP expenditure on changes in stock (in IDR Million), SNA 2008, Current Price
#> 435 Total GDP based on expenditure (in IDR Million)
#> 436 Total GDP based on expenditure (in IDR Million), SNA 2008, Current Price
#> 437 Gross domestic investment: contr. to growth of GDP(%)
#> 438 Gross capital formation (% of GDP)
#> 439 Imports of goods and services (% of GDP)
#> 440 Merchandise trade to GDP ratio (%)
#> 441 Resource balance: contribution to growth of GDP (%)
#> 442 External balance on goods and services (% of GDP)
#> 443 Trade (% of GDP)
#> 444 Agriculture: contribution to growth of GDP (%)
#> 445 Industry: contribution to growth of GDP (%)
#> 446 Services: contribution to growth of GDP (%)
#> 447 Real agricultural GDP per capita growth rate (%)
#> 448 Real agricultural GDP growth rates (%)
#> 449 Agriculture, forestry, and fishing, value added (% of GDP)
#> 450 Manufacturing, value added (% of GDP)
#> 451 Industry: contribution to growth of GDP (%)
#> 452 Industry (including construction), value added (% of GDP)
#> 453 Discrepancy in GDP, value added (current US$)
#> 454 Discrepancy in GDP, value added (current LCU)
#> 455 Discrepancy in GDP, value added (constant LCU)
#> 456 Services: contribution to growth of GDP (%)
#> 457 Services, etc., value added (% of GDP)
#> 458 Services, value added (% of GDP)
#> 459 Human capital per capita, female (real chained 2019 US$)
#> 460 Human capital, female (real chained 2019 US$)
#> 461 Human capital per capita, male (real chained 2019 US$)
#> 462 Human capital, male (real chained 2019 US$)
#> 463 Human capital per capita (real chained 2019 US$)
#> 464 Human capital (real chained 2019 US$)
#> 465 Renewable natural capital per capita, agricultural land (real chained 2019 US$)
#> 466 Renewable natural capital, agricultural land (real chained 2019 US$)
#> 467 Renewable natural capital per capita, fisheries (real chained 2019 US$)
#> 468 Renewable natural capital, fisheries (real chained 2019 US$)
#> 469 Renewable natural capital per capita, timber (real chained 2019 US$)
#> 470 Renewable natural capital, timber (real chained 2019 US$)
#> 471 Renewable natural capital per capita, mangroves (real chained 2019 US$)
#> 472 Renewable natural capital, mangroves (real chained 2019 US$)
#> 473 Nonrenewable natural capital per capita, metals and minerals, sub-index, total (real chained 2019 US$)
#> 474 Nonrenewable natural capital, metals and minerals, sub-index, total (real chained 2019 US$)
#> 475 Nonrenewable natural capital per capita, coal (real chained 2019 US$)
#> 476 Nonrenewable natural capital, coal (real chained 2019 US$)
#> 477 Nonrenewable natural capital per capita, natural gas (real chained 2019 US$)
#> 478 Nonrenewable natural capital, natural gas (real chained 2019 US$)
#> 479 Nonrenewable natural capital per capita, oil (real chained 2019 US$)
#> 480 Nonrenewable natural capital, oil (real chained 2019 US$)
#> 481 Nonrenewable natural capital per capita, total (real chained 2019 US$)
#> 482 Nonrenewable natural capital, total (real chained 2019 US$)
#> 483 Foreign assets per capita (real chained 2019 US$)
#> 484 Foreign assets (real chained 2019 US$)
#> 485 Produced capital per capita (real chained 2019 US$)
#> 486 Produced capital (real chained 2019 US$)
#> 487 National comprehensive wealth per capita index (real chained 2019 US$)
#> 488 National comprehensive wealth index (real chained 2019 US$)
#> 489 Agricultural support estimate (% of GDP)
#> 490 Coal rents (% of GDP)
#> 491 Inflation, GDP deflator (annual %)
#> 492 Inflation, GDP deflator (annual %)
#> 493 Inflation, GDP deflator: linked series (annual %)
#> 494 GDP deflator (base year varies by country)
#> 495 GDP deflator (1987 = 100)
#> 496 GDP deflator: linked series (base year varies by country)
#> 497 Discrepancy in expenditure estimate of GDP (current US$)
#> 498 Discrepancy in expenditure estimate of GDP (current LCU)
#> 499 Discrepancy in expenditure estimate of GDP (constant LCU)
#> 500 Gross value added at basic prices (GVA) (current US$)
#> 501 Gross value added at basic prices (GVA) (current LCU)
#> 502 Gross value added at basic prices (GVA) (constant 2015 US$)
#> 503 GDP at factor cost (constant 1987 US$)
#> 504 Gross value added at basic prices (GVA) (constant LCU)
#> 505 GDP at factor cost (constant 1987 LCU)
#> 506 Forest rents (% of GDP)
#> 507 Mineral rents (% of GDP)
#> 508 GDP (current US$)
#> 509 GDP deflator, index (2000=100; US$ series)
#> 510 GDP (current LCU)
#> 511 GDP: linked series (current LCU)
#> 512 GDP deflator, period average (LCU index 2000=100)
#> 513 GDP Deflator
#> 514 GDP (constant 2015 US$)
#> 515 GDP at market prices (constant 1987 US$)
#> 516 GDP growth (annual %)
#> 517 GDP (constant LCU)
#> 518 GDP at market prices (constant 1987 LCU)
#> 519 GDP growth (annual %)
#> 520 GDP, PPP (current international $)
#> 521 GDP, PPP (constant 2021 international $)
#> 522 GDP, PPP (constant 1987 international $)
#> 523 GDP deflator (1987=100,Index)
#> 524 GDP deflator, end period (base year varies by country)
#> 525 Gross domestic product (Av. annual growth, %)
#> 526 Natural gas rents (% of GDP)
#> 527 GDP per capita (current US$)
#> 528 GDP per capita (current LCU)
#> 529 GDP per capita (constant 2015 US$)
#> 530 GDP per capita growth (annual %)
#> 531 GDP per capita (constant LCU)
#> 532 GDP per capita, PPP (current international $)
#> 533 GDP per capita, PPP (constant 2021 international $)
#> 534 GDP per capita, PPP (constant 1987 international $)
#> 535 GDP per capita, PPP annual growth (%)
#> 536 Oil rents (% of GDP)
#> 537 Total natural resources rents (% of GDP)
#> 538 Gross domestic savings (current US$)
#> 539 Gross domestic savings (current LCU)
#> 540 Gross domestic savings, total (constant 2000 US$)
#> 541 Gross domestic savings (constant LCU)
#> 542 Gross domestic savings (% of GDP)
#> 543 Gross domestic income (constant 2005 US$)
#> 544 Gross domestic income (constant LCU)
#> 545 Genuine savings: education expenditure (% of GDP)
#> 546 Genuine savings: carbon dioxide damage (% of GDP)
#> 547 Genuine savings: net forest depletion (% of GDP)
#> 548 Genuine savings: consumption of fixed capital (% of GDP)
#> 549 Genuine savings: mineral depletion (% of GDP)
#> 550 Genuine savings: energy depletion (% of GDP)
#> 551 Genuine savings: net domestic savings (% of GDP)
#> 552 Genuine domestic savings (% of GDP)
#> 553 GNI, PPP (current international $)
#> 554 GNI, PPP (constant 2021 international $)
#> 555 GNI per capita, PPP (current international $)
#> 556 GNI per capita, PPP (constant 2021 international $)
#> 557 Gross savings (% of GDP)
#> 558 GDP growth, constant (average 2010-19 prices and exchange rates)
#> 559 GDP,current US$,millions,seas. adj.,
#> 560 GDP,current LCU,millions,seas. adj.,
#> 561 GDP,constant 2010 US$,millions,seas. adj.,
#> 562 GDP,constant 2010 LCU,millions,seas. adj.,
#> 563 Price level index (GDP)
#> 564 PPP conversion factor, GDP (LCU per international $)
#> 565 2005 PPP conversion factor, GDP (LCU per international $)
#> 566 Price level ratio of PPP conversion factor (GDP) to market exchange rate
#> 567 PPP conversion factor, households and NPISHs Final consumption expenditure (LCU per international $)
#> 568 World Bank: Share of GDP for central government expenditures on education (%)
#> 569 World Bank: Public capital expenditure on education as % of GDP
#> 570 World Bank: Public education expenditure per student (% of GDP per capita)
#> 571 World Bank: Public recurrent expenditure on education (% of GDP)
#> 572 World Bank: Education salary expenditures as a % of GDP
#> 573 World Bank: Share of GDP for subnational government expenditures on education (%)
#> 574 World Bank: Ratio of Teacher Salaries to per capita GDP
#> 575 World Bank: Total education expenditure as % of GDP
#> 576 World Bank: Total public education expenditure as % of GDP
#> 577 World Bank: Share of GDP for education expenditures on basic education (%)
#> 578 World Bank: Public education expenditure per student (% of GDP per capita), basic
#> 579 World Bank: Ratio of Teacher Salaries to per capita GDP, basic education
#> 580 World Bank: Share of GDP lost through inefficiencies (%)
#> 581 World Bank: Share of GDP potentially saved with improved targeting of education subsidies (%)
#> 582 World Bank: Share of GDP potentially saved with improved pupil/teacher ratios (%)
#> 583 World Bank: Public education expenditure per student (% of GDP per capita), junior secondary
#> 584 World Bank: Ratio of Teacher Salaries to per capita GDP, junior secondary
#> 585 World Bank: School Feeding Programs (% of GDP)
#> 586 World Bank: Central Government Transfers for education (% of GDP)
#> 587 World Bank: Share of GDP for education expenditures on pre-primary education (%)
#> 588 World Bank: Public education expenditure per student (% of GDP per capita), pre-primary
#> 589 World Bank: Share of GDP for education expenditures on primary education (%)
#> 590 World Bank: Public education expenditure per student (% of GDP per capita), primary
#> 591 World Bank: Primary recurrent expenditures as a share of GDP (%)
#> 592 World Bank: Ratio of Teacher Salaries to per capita GDP, primary
#> 593 World Bank: Share of GDP for education expenditures on secondary education (%)
#> 594 World Bank: Public education expenditure per student (% of GDP per capita), secondary
#> 595 World Bank: Secondary recurrent expenditures as a share of GDP (%)
#> 596 World Bank: Ratio of Teacher Salaries to per capita GDP, secondary
#> 597 World Bank: Total education expenditure from public sources (% of GDP)
#> 598 World Bank: Total education expenditures from international sources as a % of GDP
#> 599 World Bank: Total private expenditure on education (% of GDP)
#> 600 World Bank: Total private expenditure on pre-primary education (% of GDP)
#> 601 World Bank: Total private expenditure on primary education (% of GDP)
#> 602 World Bank: Total private expenditure on secondary education (% of GDP)
#> 603 World Bank: Total private expenditure on tertiary education (% of GDP)
#> 604 World Bank: Public education expenditure per student (% of GDP per capita), senior secondary
#> 605 World Bank: Ratio of Teacher Salaries to per capita GDP, senior secondary
#> 606 World Bank: Share of GDP for education expenditures on tertiary education (%)
#> 607 World Bank: Public education expenditure per student (% of GDP per capita), tertiary
#> 608 World Bank: Tertiary recurrent expenditures as a share of GDP (%)
#> 609 World Bank: Ratio of Teacher Salaries to per capita GDP, tertiary
#> 610 World Bank: Public education expenditure per student (% of GDP per capita), teacher training
#> 611 World Bank: Share of GDP for education expenditures on technical/vocational education (%)
#> 612 World Bank: Public education expenditure per student (% of GDP per capita), technical/vocational education
#> 613 Total General Allocation Grant/DAU (in IDR)
#> 614 (Financing) - Does the country spend 4-5% of GDP or 15-20% of public expenditures on education spending?
#> 615 (De Facto) Average principal salary as percent of GDP per capita
#> 616 (De Jure) Average starting public-school teacher salary as percent of GDP per capita
#> 617 Public Expenditure on Education (% GDP)
#> 618 Public spending on education, primary (% of GDP)
#> 619 Government expenditure per student, primary (% of GDP per capita)
#> 620 Public spending on education, secondary (% of GDP)
#> 621 Government expenditure per student, secondary (% of GDP per capita)
#> 622 Public spending on education, tertiary (% of GDP)
#> 623 Government expenditure per student, tertiary (% of GDP per capita)
#> 624 Government expenditure on education, total (% of GDP)
#> 625 Rail traffic (km per million US$ GDP)
#> 626 Maternal mortality ratio (modeled estimate, per 100,000 live births)
#> 627 Current health expenditure (% of GDP)
#> 628 Domestic general government health expenditure (% of GDP)
#> 629 Public Expenditure on Health (% GDP)
#> 630 Capital health expenditure (% of GDP)
#> 631 Health expenditure, private (% of GDP)
#> 632 Health expenditure, public (% of GDP)
#> 633 Health expenditure, total (% of GDP)
#> 634 GDP per person employed (constant 2021 PPP $)
#> 635 GDP per person employed (annual % growth)
#> 636 GDP per person employed, index (1980 = 100)
#> 637 Classification of national industry
#> 638 Classification of household consumption
#> 639 Finance Indicator based on PARIS21 indicators on SDG 17.18.3 & SDG 17.19.1
#> 640 Trade (% of GDP, PPP)
#> 641 Merchandise trade (% of GDP)
#> 642 Trade in goods (% of goods GDP)
#> 643 Government expenditure on pre-primary education, constant PPP$ (millions)
#> 644 Government expenditure on primary education, constant PPP$ (millions)
#> 645 Government expenditure on lower secondary education, constant PPP$ (millions)
#> 646 Government expenditure on secondary education, constant PPP$ (millions)
#> 647 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant PPP$ (millions)
#> 648 Government expenditure on upper secondary education, constant PPP$ (millions)
#> 649 Government expenditure on post-secondary non-tertiary education, constant PPP$ (millions)
#> 650 Government expenditure on tertiary education, constant PPP$ (millions)
#> 651 Government expenditure on education, constant PPP$ (millions)
#> 652 Government expenditure on education not specified by level, constant PPP$ (millions)
#> 653 Government expenditure on pre-primary education, constant US$ (millions)
#> 654 Government expenditure on primary education, constant US$ (millions)
#> 655 Government expenditure on lower secondary education, constant US$ (millions)
#> 656 Government expenditure on secondary education, constant US$ (millions)
#> 657 Government expenditure on secondary and post-secondary non-tertiary vocational education only, constant US$ (millions)
#> 658 Government expenditure on upper secondary education, constant US$ (millions)
#> 659 Government expenditure on post-secondary non-tertiary education, constant US$ (millions)
#> 660 Government expenditure on tertiary education, constant US$ (millions)
#> 661 Government expenditure on education, constant US$ (millions)
#> 662 Government expenditure on education not specified by level, constant US$ (millions)
#> 663 Government expenditure on pre-primary education as % of GDP (%)
#> 664 Government expenditure on primary education as % of GDP (%)
#> 665 Government expenditure on lower secondary education as a percentage of GDP (%)
#> 666 Government expenditure on secondary education as % of GDP (%)
#> 667 Government expenditure on secondary and post-secondary non-tertiary vocational education as % of GDP (%)
#> 668 Government expenditure on upper secondary education as a percentage of GDP (%)
#> 669 Government expenditure on post-secondary non-tertiary education as % of GDP (%)
#> 670 Government expenditure on tertiary education as % of GDP (%)
#> 671 Initial government funding per pre-primary student as a percentage of GDP per capita
#> 672 Initial government funding per primary student as a percentage of GDP per capita
#> 673 Initial household funding per primary student as a percentage of GDP per capita
#> 674 Initial government funding per lower secondary student as a percentage of GDP per capita
#> 675 Initial government funding per secondary student as a percentage of GDP per capita
#> 676 Initial household funding per secondary student as a percentage of GDP per capita
#> 677 Initial government funding per upper secondary student as a percentage of GDP per capita
#> 678 Initial government funding per tertiary student as a percentage of GDP per capita
#> 679 Initial household funding per tertiary student as a percentage of GDP per capita
#> unit source_id source_value
#> 1 <NA> 37 LAC Equity Lab
#> 2 <NA> 37 LAC Equity Lab
#> 3 <NA> 37 LAC Equity Lab
#> 4 <NA> 37 LAC Equity Lab
#> 5 <NA> 2 World Development Indicators
#> 6 <NA> 57 WDI Database Archives
#> 7 <NA> 57 WDI Database Archives
#> 8 <NA> 57 WDI Database Archives
#> 9 <NA> 57 WDI Database Archives
#> 10 <NA> 64 Worldwide Bureaucracy Indicators
#> 11 <NA> 57 WDI Database Archives
#> 12 <NA> 57 WDI Database Archives
#> 13 <NA> 2 World Development Indicators
#> 14 <NA> 2 World Development Indicators
#> 15 <NA> 57 WDI Database Archives
#> 16 <NA> 57 WDI Database Archives
#> 17 <NA> 11 Africa Development Indicators
#> 18 <NA> 11 Africa Development Indicators
#> 19 <NA> 11 Africa Development Indicators
#> 20 <NA> 57 WDI Database Archives
#> 21 <NA> 11 Africa Development Indicators
#> 22 <NA> 11 Africa Development Indicators
#> 23 <NA> 57 WDI Database Archives
#> 24 <NA> 57 WDI Database Archives
#> 25 <NA> 2 World Development Indicators
#> 26 <NA> 11 Africa Development Indicators
#> 27 <NA> 2 World Development Indicators
#> 28 <NA> 11 Africa Development Indicators
#> 29 <NA> 87 Country Climate and Development Report (CCDR)
#> 30 <NA> 87 Country Climate and Development Report (CCDR)
#> 31 <NA> 87 Country Climate and Development Report (CCDR)
#> 32 <NA> 87 Country Climate and Development Report (CCDR)
#> 33 <NA> 87 Country Climate and Development Report (CCDR)
#> 34 <NA> 87 Country Climate and Development Report (CCDR)
#> 35 <NA> 87 Country Climate and Development Report (CCDR)
#> 36 <NA> 87 Country Climate and Development Report (CCDR)
#> 37 <NA> 87 Country Climate and Development Report (CCDR)
#> 38 <NA> 87 Country Climate and Development Report (CCDR)
#> 39 <NA> 57 WDI Database Archives
#> 40 <NA> 2 World Development Indicators
#> 41 <NA> 2 World Development Indicators
#> 42 <NA> 20 Quarterly Public Sector Debt
#> 43 <NA> 20 Quarterly Public Sector Debt
#> 44 <NA> 20 Quarterly Public Sector Debt
#> 45 <NA> 20 Quarterly Public Sector Debt
#> 46 <NA> 20 Quarterly Public Sector Debt
#> 47 <NA> 20 Quarterly Public Sector Debt
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#> 57 <NA> 20 Quarterly Public Sector Debt
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#> 86 <NA> 20 Quarterly Public Sector Debt
#> 87 <NA> 20 Quarterly Public Sector Debt
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#> 90 <NA> 20 Quarterly Public Sector Debt
#> 91 <NA> 20 Quarterly Public Sector Debt
#> 92 <NA> 20 Quarterly Public Sector Debt
#> 93 <NA> 20 Quarterly Public Sector Debt
#> 94 <NA> 20 Quarterly Public Sector Debt
#> 95 <NA> 20 Quarterly Public Sector Debt
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#> 106 <NA> 20 Quarterly Public Sector Debt
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#> 109 <NA> 20 Quarterly Public Sector Debt
#> 110 <NA> 20 Quarterly Public Sector Debt
#> 111 <NA> 20 Quarterly Public Sector Debt
#> 112 <NA> 20 Quarterly Public Sector Debt
#> 113 <NA> 20 Quarterly Public Sector Debt
#> 114 <NA> 20 Quarterly Public Sector Debt
#> 115 <NA> 20 Quarterly Public Sector Debt
#> 116 <NA> 20 Quarterly Public Sector Debt
#> 117 <NA> 20 Quarterly Public Sector Debt
#> 118 <NA> 20 Quarterly Public Sector Debt
#> 119 <NA> 20 Quarterly Public Sector Debt
#> 120 <NA> 20 Quarterly Public Sector Debt
#> 121 <NA> 20 Quarterly Public Sector Debt
#> 122 <NA> 20 Quarterly Public Sector Debt
#> 123 <NA> 20 Quarterly Public Sector Debt
#> 124 <NA> 20 Quarterly Public Sector Debt
#> 125 <NA> 20 Quarterly Public Sector Debt
#> 126 <NA> 20 Quarterly Public Sector Debt
#> 127 <NA> 20 Quarterly Public Sector Debt
#> 128 <NA> 20 Quarterly Public Sector Debt
#> 129 <NA> 20 Quarterly Public Sector Debt
#> 130 <NA> 20 Quarterly Public Sector Debt
#> 131 <NA> 20 Quarterly Public Sector Debt
#> 132 <NA> 20 Quarterly Public Sector Debt
#> 133 <NA> 20 Quarterly Public Sector Debt
#> 134 <NA> 20 Quarterly Public Sector Debt
#> 135 <NA> 20 Quarterly Public Sector Debt
#> 136 <NA> 20 Quarterly Public Sector Debt
#> 137 <NA> 20 Quarterly Public Sector Debt
#> 138 <NA> 20 Quarterly Public Sector Debt
#> 139 <NA> 20 Quarterly Public Sector Debt
#> 140 <NA> 20 Quarterly Public Sector Debt
#> 141 <NA> 20 Quarterly Public Sector Debt
#> 142 <NA> 20 Quarterly Public Sector Debt
#> 143 <NA> 20 Quarterly Public Sector Debt
#> 144 <NA> 20 Quarterly Public Sector Debt
#> 145 <NA> 20 Quarterly Public Sector Debt
#> 146 <NA> 20 Quarterly Public Sector Debt
#> 147 <NA> 20 Quarterly Public Sector Debt
#> 148 <NA> 20 Quarterly Public Sector Debt
#> 149 <NA> 20 Quarterly Public Sector Debt
#> 150 <NA> 20 Quarterly Public Sector Debt
#> 151 <NA> 20 Quarterly Public Sector Debt
#> 152 <NA> 20 Quarterly Public Sector Debt
#> 153 <NA> 20 Quarterly Public Sector Debt
#> 154 <NA> 20 Quarterly Public Sector Debt
#> 155 <NA> 20 Quarterly Public Sector Debt
#> 156 <NA> 20 Quarterly Public Sector Debt
#> 157 <NA> 20 Quarterly Public Sector Debt
#> 158 <NA> 20 Quarterly Public Sector Debt
#> 159 <NA> 20 Quarterly Public Sector Debt
#> 160 <NA> 20 Quarterly Public Sector Debt
#> 161 <NA> 20 Quarterly Public Sector Debt
#> 162 <NA> 20 Quarterly Public Sector Debt
#> 163 <NA> 20 Quarterly Public Sector Debt
#> 164 <NA> 20 Quarterly Public Sector Debt
#> 165 <NA> 20 Quarterly Public Sector Debt
#> 166 <NA> 20 Quarterly Public Sector Debt
#> 167 <NA> 20 Quarterly Public Sector Debt
#> 168 <NA> 20 Quarterly Public Sector Debt
#> 169 <NA> 20 Quarterly Public Sector Debt
#> 170 <NA> 20 Quarterly Public Sector Debt
#> 171 <NA> 20 Quarterly Public Sector Debt
#> 172 <NA> 20 Quarterly Public Sector Debt
#> 173 <NA> 20 Quarterly Public Sector Debt
#> 174 <NA> 20 Quarterly Public Sector Debt
#> 175 <NA> 20 Quarterly Public Sector Debt
#> 176 <NA> 20 Quarterly Public Sector Debt
#> 177 <NA> 20 Quarterly Public Sector Debt
#> 178 <NA> 20 Quarterly Public Sector Debt
#> 179 <NA> 20 Quarterly Public Sector Debt
#> 180 <NA> 20 Quarterly Public Sector Debt
#> 181 <NA> 20 Quarterly Public Sector Debt
#> 182 <NA> 20 Quarterly Public Sector Debt
#> 183 <NA> 20 Quarterly Public Sector Debt
#> 184 <NA> 20 Quarterly Public Sector Debt
#> 185 <NA> 20 Quarterly Public Sector Debt
#> 186 <NA> 20 Quarterly Public Sector Debt
#> 187 <NA> 20 Quarterly Public Sector Debt
#> 188 <NA> 20 Quarterly Public Sector Debt
#> 189 <NA> 20 Quarterly Public Sector Debt
#> 190 <NA> 20 Quarterly Public Sector Debt
#> 191 <NA> 20 Quarterly Public Sector Debt
#> 192 <NA> 20 Quarterly Public Sector Debt
#> 193 <NA> 20 Quarterly Public Sector Debt
#> 194 <NA> 20 Quarterly Public Sector Debt
#> 195 <NA> 20 Quarterly Public Sector Debt
#> 196 <NA> 20 Quarterly Public Sector Debt
#> 197 <NA> 20 Quarterly Public Sector Debt
#> 198 <NA> 20 Quarterly Public Sector Debt
#> 199 <NA> 20 Quarterly Public Sector Debt
#> 200 <NA> 20 Quarterly Public Sector Debt
#> 201 <NA> 20 Quarterly Public Sector Debt
#> 202 <NA> 20 Quarterly Public Sector Debt
#> 203 <NA> 20 Quarterly Public Sector Debt
#> 204 <NA> 20 Quarterly Public Sector Debt
#> 205 <NA> 20 Quarterly Public Sector Debt
#> 206 <NA> 20 Quarterly Public Sector Debt
#> 207 <NA> 20 Quarterly Public Sector Debt
#> 208 <NA> 20 Quarterly Public Sector Debt
#> 209 <NA> 20 Quarterly Public Sector Debt
#> 210 <NA> 20 Quarterly Public Sector Debt
#> 211 <NA> 20 Quarterly Public Sector Debt
#> 212 <NA> 11 Africa Development Indicators
#> 213 <NA> 11 Africa Development Indicators
#> 214 <NA> 11 Africa Development Indicators
#> 215 <NA> 11 Africa Development Indicators
#> 216 <NA> 11 Africa Development Indicators
#> 217 <NA> 11 Africa Development Indicators
#> 218 <NA> 11 Africa Development Indicators
#> 219 <NA> 11 Africa Development Indicators
#> 220 <NA> 11 Africa Development Indicators
#> 221 <NA> 11 Africa Development Indicators
#> 222 <NA> 60 Economic Fitness
#> 223 <NA> 70 Economic Fitness 2
#> 224 <NA> 2 World Development Indicators
#> 225 <NA> 57 WDI Database Archives
#> 226 <NA> 57 WDI Database Archives
#> 227 <NA> 2 World Development Indicators
#> 228 <NA> 2 World Development Indicators
#> 229 <NA> 2 World Development Indicators
#> 230 <NA> 57 WDI Database Archives
#> 231 <NA> 57 WDI Database Archives
#> 232 <NA> 57 WDI Database Archives
#> 233 <NA> 57 WDI Database Archives
#> 234 <NA> 57 WDI Database Archives
#> 235 <NA> 2 World Development Indicators
#> 236 <NA> 2 World Development Indicators
#> 237 <NA> 2 World Development Indicators
#> 238 <NA> 57 WDI Database Archives
#> 239 <NA> 57 WDI Database Archives
#> 240 <NA> 2 World Development Indicators
#> 241 <NA> 11 Africa Development Indicators
#> 242 <NA> 11 Africa Development Indicators
#> 243 <NA> 2 World Development Indicators
#> 244 <NA> 2 World Development Indicators
#> 245 <NA> 57 WDI Database Archives
#> 246 <NA> 57 WDI Database Archives
#> 247 <NA> 57 WDI Database Archives
#> 248 <NA> 57 WDI Database Archives
#> 249 <NA> 57 WDI Database Archives
#> 250 <NA> 11 Africa Development Indicators
#> 251 <NA> 2 World Development Indicators
#> 252 <NA> 2 World Development Indicators
#> 253 <NA> 2 World Development Indicators
#> 254 <NA> 2 World Development Indicators
#> 255 <NA> 57 WDI Database Archives
#> 256 <NA> 2 World Development Indicators
#> 257 <NA> 57 WDI Database Archives
#> 258 <NA> 57 WDI Database Archives
#> 259 <NA> 57 WDI Database Archives
#> 260 <NA> 57 WDI Database Archives
#> 261 <NA> 57 WDI Database Archives
#> 262 <NA> 57 WDI Database Archives
#> 263 <NA> 57 WDI Database Archives
#> 264 <NA> 57 WDI Database Archives
#> 265 <NA> 57 WDI Database Archives
#> 266 <NA> 57 WDI Database Archives
#> 267 <NA> 57 WDI Database Archives
#> 268 <NA> 57 WDI Database Archives
#> 269 <NA> 57 WDI Database Archives
#> 270 <NA> 57 WDI Database Archives
#> 271 <NA> 11 Africa Development Indicators
#> 272 <NA> 57 WDI Database Archives
#> 273 <NA> 57 WDI Database Archives
#> 274 <NA> 57 WDI Database Archives
#> 275 <NA> 57 WDI Database Archives
#> 276 <NA> 57 WDI Database Archives
#> 277 <NA> 57 WDI Database Archives
#> 278 <NA> 57 WDI Database Archives
#> 279 <NA> 57 WDI Database Archives
#> 280 <NA> 57 WDI Database Archives
#> 281 <NA> 57 WDI Database Archives
#> 282 <NA> 57 WDI Database Archives
#> 283 <NA> 2 World Development Indicators
#> 284 <NA> 57 WDI Database Archives
#> 285 <NA> 57 WDI Database Archives
#> 286 <NA> 2 World Development Indicators
#> 287 <NA> 57 WDI Database Archives
#> 288 <NA> 2 World Development Indicators
#> 289 <NA> 57 WDI Database Archives
#> 290 <NA> 57 WDI Database Archives
#> 291 <NA> 2 World Development Indicators
#> 292 <NA> 2 World Development Indicators
#> 293 <NA> 2 World Development Indicators
#> 294 <NA> 2 World Development Indicators
#> 295 <NA> 2 World Development Indicators
#> 296 <NA> 2 World Development Indicators
#> 297 <NA> 32 Global Financial Development
#> 298 <NA> 32 Global Financial Development
#> 299 <NA> 32 Global Financial Development
#> 300 <NA> 32 Global Financial Development
#> 301 <NA> 32 Global Financial Development
#> 302 <NA> 32 Global Financial Development
#> 303 <NA> 32 Global Financial Development
#> 304 <NA> 32 Global Financial Development
#> 305 <NA> 32 Global Financial Development
#> 306 <NA> 32 Global Financial Development
#> 307 <NA> 32 Global Financial Development
#> 308 <NA> 32 Global Financial Development
#> 309 <NA> 32 Global Financial Development
#> 310 <NA> 32 Global Financial Development
#> 311 <NA> 32 Global Financial Development
#> 312 <NA> 32 Global Financial Development
#> 313 <NA> 32 Global Financial Development
#> 314 <NA> 32 Global Financial Development
#> 315 <NA> 32 Global Financial Development
#> 316 <NA> 32 Global Financial Development
#> 317 <NA> 32 Global Financial Development
#> 318 <NA> 32 Global Financial Development
#> 319 <NA> 32 Global Financial Development
#> 320 <NA> 32 Global Financial Development
#> 321 <NA> 32 Global Financial Development
#> 322 <NA> 32 Global Financial Development
#> 323 <NA> 32 Global Financial Development
#> 324 <NA> 32 Global Financial Development
#> 325 <NA> 32 Global Financial Development
#> 326 <NA> 32 Global Financial Development
#> 327 <NA> 32 Global Financial Development
#> 328 <NA> 32 Global Financial Development
#> 329 <NA> 32 Global Financial Development
#> 330 <NA> 32 Global Financial Development
#> 331 <NA> 32 Global Financial Development
#> 332 <NA> 32 Global Financial Development
#> 333 <NA> 13 Enterprise Surveys
#> 334 <NA> 13 Enterprise Surveys
#> 335 <NA> 11 Africa Development Indicators
#> 336 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 337 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 338 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 339 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 340 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 341 <NA> 41 Country Partnership Strategy for India (FY2013 - 17)
#> 342 <NA> 57 WDI Database Archives
#> 343 <NA> 57 WDI Database Archives
#> 344 <NA> 11 Africa Development Indicators
#> 345 <NA> 11 Africa Development Indicators
#> 346 <NA> 2 World Development Indicators
#> 347 <NA> 45 Indonesia Database for Policy and Economic Research
#> 348 <NA> 45 Indonesia Database for Policy and Economic Research
#> 349 <NA> 45 Indonesia Database for Policy and Economic Research
#> 350 <NA> 45 Indonesia Database for Policy and Economic Research
#> 351 <NA> 45 Indonesia Database for Policy and Economic Research
#> 352 <NA> 45 Indonesia Database for Policy and Economic Research
#> 353 <NA> 45 Indonesia Database for Policy and Economic Research
#> 354 <NA> 45 Indonesia Database for Policy and Economic Research
#> 355 <NA> 45 Indonesia Database for Policy and Economic Research
#> 356 <NA> 45 Indonesia Database for Policy and Economic Research
#> 357 <NA> 45 Indonesia Database for Policy and Economic Research
#> 358 <NA> 45 Indonesia Database for Policy and Economic Research
#> 359 <NA> 45 Indonesia Database for Policy and Economic Research
#> 360 <NA> 45 Indonesia Database for Policy and Economic Research
#> 361 <NA> 45 Indonesia Database for Policy and Economic Research
#> 362 <NA> 45 Indonesia Database for Policy and Economic Research
#> 363 <NA> 45 Indonesia Database for Policy and Economic Research
#> 364 <NA> 45 Indonesia Database for Policy and Economic Research
#> 365 <NA> 45 Indonesia Database for Policy and Economic Research
#> 366 <NA> 45 Indonesia Database for Policy and Economic Research
#> 367 <NA> 45 Indonesia Database for Policy and Economic Research
#> 368 <NA> 45 Indonesia Database for Policy and Economic Research
#> 369 <NA> 45 Indonesia Database for Policy and Economic Research
#> 370 <NA> 45 Indonesia Database for Policy and Economic Research
#> 371 <NA> 45 Indonesia Database for Policy and Economic Research
#> 372 <NA> 45 Indonesia Database for Policy and Economic Research
#> 373 <NA> 45 Indonesia Database for Policy and Economic Research
#> 374 <NA> 45 Indonesia Database for Policy and Economic Research
#> 375 <NA> 45 Indonesia Database for Policy and Economic Research
#> 376 <NA> 45 Indonesia Database for Policy and Economic Research
#> 377 <NA> 45 Indonesia Database for Policy and Economic Research
#> 378 <NA> 45 Indonesia Database for Policy and Economic Research
#> 379 <NA> 45 Indonesia Database for Policy and Economic Research
#> 380 <NA> 45 Indonesia Database for Policy and Economic Research
#> 381 <NA> 45 Indonesia Database for Policy and Economic Research
#> 382 <NA> 45 Indonesia Database for Policy and Economic Research
#> 383 <NA> 45 Indonesia Database for Policy and Economic Research
#> 384 <NA> 45 Indonesia Database for Policy and Economic Research
#> 385 <NA> 45 Indonesia Database for Policy and Economic Research
#> 386 <NA> 45 Indonesia Database for Policy and Economic Research
#> 387 <NA> 45 Indonesia Database for Policy and Economic Research
#> 388 <NA> 45 Indonesia Database for Policy and Economic Research
#> 389 <NA> 45 Indonesia Database for Policy and Economic Research
#> 390 <NA> 45 Indonesia Database for Policy and Economic Research
#> 391 <NA> 45 Indonesia Database for Policy and Economic Research
#> 392 <NA> 45 Indonesia Database for Policy and Economic Research
#> 393 <NA> 45 Indonesia Database for Policy and Economic Research
#> 394 <NA> 45 Indonesia Database for Policy and Economic Research
#> 395 <NA> 45 Indonesia Database for Policy and Economic Research
#> 396 <NA> 45 Indonesia Database for Policy and Economic Research
#> 397 <NA> 45 Indonesia Database for Policy and Economic Research
#> 398 <NA> 45 Indonesia Database for Policy and Economic Research
#> 399 <NA> 45 Indonesia Database for Policy and Economic Research
#> 400 <NA> 45 Indonesia Database for Policy and Economic Research
#> 401 <NA> 45 Indonesia Database for Policy and Economic Research
#> 402 <NA> 45 Indonesia Database for Policy and Economic Research
#> 403 <NA> 45 Indonesia Database for Policy and Economic Research
#> 404 <NA> 45 Indonesia Database for Policy and Economic Research
#> 405 <NA> 2 World Development Indicators
#> 406 <NA> 2 World Development Indicators
#> 407 <NA> 2 World Development Indicators
#> 408 <NA> 57 WDI Database Archives
#> 409 <NA> 2 World Development Indicators
#> 410 <NA> 2 World Development Indicators
#> 411 <NA> 2 World Development Indicators
#> 412 <NA> 57 WDI Database Archives
#> 413 <NA> 57 WDI Database Archives
#> 414 <NA> 2 World Development Indicators
#> 415 <NA> 2 World Development Indicators
#> 416 <NA> 2 World Development Indicators
#> 417 <NA> 45 Indonesia Database for Policy and Economic Research
#> 418 <NA> 45 Indonesia Database for Policy and Economic Research
#> 419 <NA> 45 Indonesia Database for Policy and Economic Research
#> 420 <NA> 45 Indonesia Database for Policy and Economic Research
#> 421 <NA> 45 Indonesia Database for Policy and Economic Research
#> 422 <NA> 45 Indonesia Database for Policy and Economic Research
#> 423 <NA> 45 Indonesia Database for Policy and Economic Research
#> 424 <NA> 45 Indonesia Database for Policy and Economic Research
#> 425 <NA> 2 World Development Indicators
#> 426 <NA> 11 Africa Development Indicators
#> 427 <NA> 45 Indonesia Database for Policy and Economic Research
#> 428 <NA> 45 Indonesia Database for Policy and Economic Research
#> 429 <NA> 2 World Development Indicators
#> 430 <NA> 45 Indonesia Database for Policy and Economic Research
#> 431 <NA> 45 Indonesia Database for Policy and Economic Research
#> 432 <NA> 45 Indonesia Database for Policy and Economic Research
#> 433 <NA> 45 Indonesia Database for Policy and Economic Research
#> 434 <NA> 45 Indonesia Database for Policy and Economic Research
#> 435 <NA> 45 Indonesia Database for Policy and Economic Research
#> 436 <NA> 45 Indonesia Database for Policy and Economic Research
#> 437 <NA> 57 WDI Database Archives
#> 438 <NA> 2 World Development Indicators
#> 439 <NA> 2 World Development Indicators
#> 440 <NA> 11 Africa Development Indicators
#> 441 <NA> 57 WDI Database Archives
#> 442 <NA> 2 World Development Indicators
#> 443 <NA> 2 World Development Indicators
#> 444 <NA> 57 WDI Database Archives
#> 445 <NA> 57 WDI Database Archives
#> 446 <NA> 57 WDI Database Archives
#> 447 <NA> 11 Africa Development Indicators
#> 448 <NA> 11 Africa Development Indicators
#> 449 <NA> 2 World Development Indicators
#> 450 <NA> 2 World Development Indicators
#> 451 <NA> 57 WDI Database Archives
#> 452 <NA> 2 World Development Indicators
#> 453 <NA> 11 Africa Development Indicators
#> 454 <NA> 11 Africa Development Indicators
#> 455 <NA> 11 Africa Development Indicators
#> 456 <NA> 57 WDI Database Archives
#> 457 <NA> 57 WDI Database Archives
#> 458 <NA> 2 World Development Indicators
#> 459 <NA> 59 Wealth Accounts
#> 460 <NA> 59 Wealth Accounts
#> 461 <NA> 59 Wealth Accounts
#> 462 <NA> 59 Wealth Accounts
#> 463 <NA> 59 Wealth Accounts
#> 464 <NA> 59 Wealth Accounts
#> 465 <NA> 59 Wealth Accounts
#> 466 <NA> 59 Wealth Accounts
#> 467 <NA> 59 Wealth Accounts
#> 468 <NA> 59 Wealth Accounts
#> 469 <NA> 59 Wealth Accounts
#> 470 <NA> 59 Wealth Accounts
#> 471 <NA> 59 Wealth Accounts
#> 472 <NA> 59 Wealth Accounts
#> 473 <NA> 59 Wealth Accounts
#> 474 <NA> 59 Wealth Accounts
#> 475 <NA> 59 Wealth Accounts
#> 476 <NA> 59 Wealth Accounts
#> 477 <NA> 59 Wealth Accounts
#> 478 <NA> 59 Wealth Accounts
#> 479 <NA> 59 Wealth Accounts
#> 480 <NA> 59 Wealth Accounts
#> 481 <NA> 59 Wealth Accounts
#> 482 <NA> 59 Wealth Accounts
#> 483 <NA> 59 Wealth Accounts
#> 484 <NA> 59 Wealth Accounts
#> 485 <NA> 59 Wealth Accounts
#> 486 <NA> 59 Wealth Accounts
#> 487 <NA> 59 Wealth Accounts
#> 488 <NA> 59 Wealth Accounts
#> 489 <NA> 19 Millennium Development Goals
#> 490 <NA> 2 World Development Indicators
#> 491 <NA> 57 WDI Database Archives
#> 492 <NA> 2 World Development Indicators
#> 493 <NA> 2 World Development Indicators
#> 494 <NA> 2 World Development Indicators
#> 495 <NA> 57 WDI Database Archives
#> 496 <NA> 2 World Development Indicators
#> 497 <NA> 11 Africa Development Indicators
#> 498 <NA> 2 World Development Indicators
#> 499 <NA> 2 World Development Indicators
#> 500 <NA> 2 World Development Indicators
#> 501 <NA> 2 World Development Indicators
#> 502 <NA> 2 World Development Indicators
#> 503 <NA> 57 WDI Database Archives
#> 504 <NA> 2 World Development Indicators
#> 505 <NA> 57 WDI Database Archives
#> 506 <NA> 2 World Development Indicators
#> 507 <NA> 2 World Development Indicators
#> 508 <NA> 2 World Development Indicators
#> 509 <NA> 11 Africa Development Indicators
#> 510 <NA> 2 World Development Indicators
#> 511 <NA> 2 World Development Indicators
#> 512 <NA> 11 Africa Development Indicators
#> 513 <NA> 57 WDI Database Archives
#> 514 <NA> 2 World Development Indicators
#> 515 <NA> 57 WDI Database Archives
#> 516 <NA> 2 World Development Indicators
#> 517 <NA> 2 World Development Indicators
#> 518 <NA> 57 WDI Database Archives
#> 519 <NA> 57 WDI Database Archives
#> 520 <NA> 2 World Development Indicators
#> 521 <NA> 2 World Development Indicators
#> 522 <NA> 57 WDI Database Archives
#> 523 <NA> 57 WDI Database Archives
#> 524 <NA> 11 Africa Development Indicators
#> 525 <NA> 57 WDI Database Archives
#> 526 <NA> 2 World Development Indicators
#> 527 <NA> 2 World Development Indicators
#> 528 <NA> 2 World Development Indicators
#> 529 <NA> 2 World Development Indicators
#> 530 <NA> 2 World Development Indicators
#> 531 <NA> 2 World Development Indicators
#> 532 <NA> 2 World Development Indicators
#> 533 <NA> 2 World Development Indicators
#> 534 <NA> 57 WDI Database Archives
#> 535 <NA> 11 Africa Development Indicators
#> 536 <NA> 2 World Development Indicators
#> 537 <NA> 2 World Development Indicators
#> 538 <NA> 2 World Development Indicators
#> 539 <NA> 2 World Development Indicators
#> 540 <NA> 11 Africa Development Indicators
#> 541 <NA> 57 WDI Database Archives
#> 542 <NA> 2 World Development Indicators
#> 543 <NA> 57 WDI Database Archives
#> 544 <NA> 2 World Development Indicators
#> 545 <NA> 57 WDI Database Archives
#> 546 <NA> 57 WDI Database Archives
#> 547 <NA> 57 WDI Database Archives
#> 548 <NA> 57 WDI Database Archives
#> 549 <NA> 57 WDI Database Archives
#> 550 <NA> 57 WDI Database Archives
#> 551 <NA> 57 WDI Database Archives
#> 552 <NA> 57 WDI Database Archives
#> 553 <NA> 2 World Development Indicators
#> 554 <NA> 2 World Development Indicators
#> 555 <NA> 2 World Development Indicators
#> 556 <NA> 2 World Development Indicators
#> 557 <NA> 2 World Development Indicators
#> 558 <NA> 27 Global Economic Prospects
#> 559 <NA> 15 Global Economic Monitor
#> 560 <NA> 15 Global Economic Monitor
#> 561 <NA> 15 Global Economic Monitor
#> 562 <NA> 15 Global Economic Monitor
#> 563 <NA> 2 World Development Indicators
#> 564 <NA> 2 World Development Indicators
#> 565 <NA> 57 WDI Database Archives
#> 566 <NA> 57 WDI Database Archives
#> 567 <NA> 2 World Development Indicators
#> 568 <NA> 12 Education Statistics
#> 569 <NA> 12 Education Statistics
#> 570 <NA> 12 Education Statistics
#> 571 <NA> 12 Education Statistics
#> 572 <NA> 12 Education Statistics
#> 573 <NA> 12 Education Statistics
#> 574 <NA> 12 Education Statistics
#> 575 <NA> 12 Education Statistics
#> 576 <NA> 12 Education Statistics
#> 577 <NA> 12 Education Statistics
#> 578 <NA> 12 Education Statistics
#> 579 <NA> 12 Education Statistics
#> 580 <NA> 12 Education Statistics
#> 581 <NA> 12 Education Statistics
#> 582 <NA> 12 Education Statistics
#> 583 <NA> 12 Education Statistics
#> 584 <NA> 12 Education Statistics
#> 585 <NA> 12 Education Statistics
#> 586 <NA> 12 Education Statistics
#> 587 <NA> 12 Education Statistics
#> 588 <NA> 12 Education Statistics
#> 589 <NA> 12 Education Statistics
#> 590 <NA> 12 Education Statistics
#> 591 <NA> 12 Education Statistics
#> 592 <NA> 12 Education Statistics
#> 593 <NA> 12 Education Statistics
#> 594 <NA> 12 Education Statistics
#> 595 <NA> 12 Education Statistics
#> 596 <NA> 12 Education Statistics
#> 597 <NA> 12 Education Statistics
#> 598 <NA> 12 Education Statistics
#> 599 <NA> 12 Education Statistics
#> 600 <NA> 12 Education Statistics
#> 601 <NA> 12 Education Statistics
#> 602 <NA> 12 Education Statistics
#> 603 <NA> 12 Education Statistics
#> 604 <NA> 12 Education Statistics
#> 605 <NA> 12 Education Statistics
#> 606 <NA> 12 Education Statistics
#> 607 <NA> 12 Education Statistics
#> 608 <NA> 12 Education Statistics
#> 609 <NA> 12 Education Statistics
#> 610 <NA> 12 Education Statistics
#> 611 <NA> 12 Education Statistics
#> 612 <NA> 12 Education Statistics
#> 613 <NA> 45 Indonesia Database for Policy and Economic Research
#> 614 <NA> 84 Education Policy
#> 615 <NA> 12 Education Statistics
#> 616 <NA> 12 Education Statistics
#> 617 <NA> 57 WDI Database Archives
#> 618 <NA> 57 WDI Database Archives
#> 619 <NA> 2 World Development Indicators
#> 620 <NA> 57 WDI Database Archives
#> 621 <NA> 2 World Development Indicators
#> 622 <NA> 57 WDI Database Archives
#> 623 <NA> 2 World Development Indicators
#> 624 <NA> 2 World Development Indicators
#> 625 <NA> 57 WDI Database Archives
#> 626 <NA> 2 World Development Indicators
#> 627 <NA> 2 World Development Indicators
#> 628 <NA> 2 World Development Indicators
#> 629 <NA> 57 WDI Database Archives
#> 630 <NA> 16 Health Nutrition and Population Statistics
#> 631 <NA> 57 WDI Database Archives
#> 632 <NA> 57 WDI Database Archives
#> 633 <NA> 57 WDI Database Archives
#> 634 <NA> 2 World Development Indicators
#> 635 <NA> 11 Africa Development Indicators
#> 636 <NA> 57 WDI Database Archives
#> 637 <NA> 83 Statistical Performance Indicators (SPI)
#> 638 <NA> 83 Statistical Performance Indicators (SPI)
#> 639 <NA> 83 Statistical Performance Indicators (SPI)
#> 640 <NA> 57 WDI Database Archives
#> 641 <NA> 2 World Development Indicators
#> 642 <NA> 57 WDI Database Archives
#> 643 <NA> 12 Education Statistics
#> 644 <NA> 12 Education Statistics
#> 645 <NA> 12 Education Statistics
#> 646 <NA> 12 Education Statistics
#> 647 <NA> 12 Education Statistics
#> 648 <NA> 12 Education Statistics
#> 649 <NA> 12 Education Statistics
#> 650 <NA> 12 Education Statistics
#> 651 <NA> 12 Education Statistics
#> 652 <NA> 12 Education Statistics
#> 653 <NA> 12 Education Statistics
#> 654 <NA> 12 Education Statistics
#> 655 <NA> 12 Education Statistics
#> 656 <NA> 12 Education Statistics
#> 657 <NA> 12 Education Statistics
#> 658 <NA> 12 Education Statistics
#> 659 <NA> 12 Education Statistics
#> 660 <NA> 12 Education Statistics
#> 661 <NA> 12 Education Statistics
#> 662 <NA> 12 Education Statistics
#> 663 <NA> 12 Education Statistics
#> 664 <NA> 12 Education Statistics
#> 665 <NA> 12 Education Statistics
#> 666 <NA> 12 Education Statistics
#> 667 <NA> 12 Education Statistics
#> 668 <NA> 12 Education Statistics
#> 669 <NA> 12 Education Statistics
#> 670 <NA> 12 Education Statistics
#> 671 <NA> 12 Education Statistics
#> 672 <NA> 12 Education Statistics
#> 673 <NA> 12 Education Statistics
#> 674 <NA> 12 Education Statistics
#> 675 <NA> 12 Education Statistics
#> 676 <NA> 12 Education Statistics
#> 677 <NA> 12 Education Statistics
#> 678 <NA> 12 Education Statistics
#> 679 <NA> 12 Education Statistics
#> source_note
#> 1 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.
#> 2 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.
#> 3 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.
#> 4 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.
#> 5 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.
#> 6 <NA>
#> 7 <NA>
#> 8 <NA>
#> 9 <NA>
#> 10 <NA>
#> 11 <NA>
#> 12 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.
#> 13 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.
#> 14 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.
#> 15 <NA>
#> 16 <NA>
#> 17 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.
#> 18 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.
#> 19 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.
#> 20 <NA>
#> 21 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.
#> 22 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.
#> 23 <NA>
#> 24 <NA>
#> 25 Foreign direct investment is the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net inflows (new investment inflows less disinvestment) in the reporting economy from foreign investors, and is divided by GDP.
#> 26 Migrants’ remittances are defined as the sum of worker’s remittances,
#> 27 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.
#> 28 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.
#> 29 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.
#> 30 <NA>
#> 31 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.
#> 32 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.
#> 33 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.
#> 34 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.
#> 35 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.
#> 36 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.
#> 37 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.
#> 38 <NA>
#> 39 <NA>
#> 40 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.
#> 41 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.
#> 42 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 43 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 44 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 45 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 46 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 47 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 48 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 49 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 50 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 51 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 52 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 53 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 54 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 55 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 56 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 57 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 58 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 59 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 60 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 61 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 62 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 63 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 64 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 65 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 66 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 67 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 68 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 69 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 70 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 71 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 72 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 73 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 74 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 75 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 76 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 77 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 78 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 79 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 80 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 81 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 82 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 83 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 84 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 85 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 86 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 87 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 88 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 89 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 90 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 91 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 92 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 93 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 94 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 95 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 96 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 97 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 98 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 99 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 100 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 101 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 102 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 103 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 104 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 105 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 106 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 107 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 108 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 109 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 110 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 111 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 112 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 113 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 114 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 115 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 116 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 117 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 118 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 119 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 120 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 121 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 122 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 123 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 124 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 125 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 126 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 127 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 128 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 129 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 130 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 131 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 132 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 133 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 134 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 135 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 136 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 137 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 138 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 139 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 140 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 141 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 142 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 143 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 144 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 145 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 146 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 147 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 148 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 149 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 150 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 151 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 152 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 153 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 154 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 155 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 156 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 157 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 158 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 159 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 160 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 161 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 162 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 163 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 164 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 165 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 166 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 167 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 168 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 169 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 170 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 171 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 172 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 173 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 174 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 175 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 176 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 177 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 178 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 179 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 180 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 181 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 182 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 183 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 184 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 185 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 186 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 187 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 188 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 189 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 190 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 191 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 192 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 193 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 194 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 195 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 196 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 197 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 198 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 199 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 200 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 201 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 202 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 203 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 204 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 205 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 206 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 207 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 208 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 209 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 210 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 211 The source of non-seasonally adjusted Gross Domestic Product (GDP) data in national currency, at current prices, is the International Finance Statistics quarterly database of the IMF, annualized by the World Bank, unless otherwise specified.
#> 212 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.
#> 213 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.
#> 214 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.
#> 215 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.
#> 216 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.
#> 217 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.
#> 218 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.
#> 219 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.
#> 220 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).
#> 221 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.
#> 222 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.
#> 223 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.
#> 224 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.
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#> 227 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.
#> 228 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.
#> 229 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.
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#> 232 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.
#> 233 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.
#> 234 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.
#> 235 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$.
#> 236 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 $.
#> 237 Water productivity is calculated as GDP in constant prices divided by annual total water withdrawal.
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#> 240 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.
#> 241 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.
#> 242 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.
#> 243 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.
#> 244 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.
#> 245 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).
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#> 250 Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator.
#> 251 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.
#> 252 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.
#> 253 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.
#> 254 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.
#> 255 <NA>
#> 256 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.
#> 257 <NA>
#> 258 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.
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#> 260 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).
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#> 271 Central government revenues, excluding all grants.
#> 272 <NA>
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#> 283 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.
#> 284 <NA>
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#> 286 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.
#> 287 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).
#> 288 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.
#> 289 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.
#> 290 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.
#> 291 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.
#> 292 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.
#> 293 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.
#> 294 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.
#> 295 Taxes are compulsory, unrequited payments, in cash or in kind, made by institutional\n\n\n\n\nunits to government units. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 296 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.
#> 297 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).
#> 298 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).
#> 299 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).
#> 300 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.
#> 301 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).
#> 302 Data taken from a variety of sources such as Investment Company Institute and national sources.
#> 303 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).
#> 304 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.
#> 305 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.
#> 306 Data taken from a variety of sources such as AXCO and national sources.
#> 307 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)
#> 308 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.
#> 309 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.
#> 310 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).
#> 311 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).
#> 312 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.
#> 313 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.
#> 314 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.
#> 315 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.
#> 316 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.
#> 317 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).
#> 318 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).
#> 319 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).
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#> 324 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).
#> 325 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).
#> 326 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.
#> 327 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.
#> 328 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.
#> 329 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.
#> 330 Ratios calculated by source.
#> 331 GDP data provided by IFS and converted into USD using IFS exchange rates.
#> 332 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.
#> 333 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.
#> 334 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.
#> 335 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.
#> 336 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.
#> 337 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.
#> 338 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.
#> 339 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.
#> 340 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.
#> 341 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.
#> 342 <NA>
#> 343 <NA>
#> 344 Telecommunications revenue is the revenue from the provision of telecommunications services such as fixed-line, mobile, and data.
#> 345 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.
#> 346 Military expenditure by country as percentage of gross domestic product
#> 347 <NA>
#> 348 <NA>
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#> 351 <NA>
#> 352 <NA>
#> 353 <NA>
#> 354 <NA>
#> 355 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.
#> 356 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.
#> 357 <NA>
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#> 377 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).
#> 378 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).
#> 379 <NA>
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#> 381 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.
#> 382 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.
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#> 405 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.
#> 406 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.
#> 407 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.
#> 408 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.
#> 409 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.
#> 410 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.
#> 411 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.
#> 412 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.
#> 413 <NA>
#> 414 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.
#> 415 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.
#> 416 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.
#> 417 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.
#> 418 <NA>
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#> 423 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.
#> 424 <NA>
#> 425 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.
#> 426 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.
#> 427 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.
#> 428 <NA>
#> 429 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.
#> 430 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.
#> 431 <NA>
#> 432 <NA>
#> 433 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.
#> 434 <NA>
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#> 438 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.
#> 439 Imports of goods includes change in the economic ownership of goods from non-residents to\n\n\n\n\nresidents of the compiling economy, irrespective of physical movement of goods across national borders. Imports of services includes services provided by non-residents to residents. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 440 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.
#> 441 <NA>
#> 442 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.
#> 443 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.
#> 444 <NA>
#> 445 <NA>
#> 446 <NA>
#> 447 The growth rate of real per capita GDP in agriculture, expressed at an annual rate.
#> 448 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.
#> 449 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.
#> 450 Manufacturing includes industries classified in ISIC (Rev. 3) major division C and is defined as the physical or chemical transformation of materials or components into new products. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 451 <NA>
#> 452 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.
#> 453 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.
#> 454 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.
#> 455 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.
#> 456 <NA>
#> 457 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.
#> 458 Services industries correspond to ISIC (Rev. 4) divisions 45-99 and includes wholesale and retail trade, repair of motor vehicles, hotels and restaurants, transport, storage and communication, financial intermediation, real estate, renting and business activities, public administration and defence, compulsory social security, education, health and social work, other community, social and personal service activities, private households with employed persons, and extra-territorial organizations and bodies. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 459 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.
#> 460 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.
#> 461 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.
#> 462 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.
#> 463 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.
#> 464 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.
#> 465 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.
#> 466 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.
#> 467 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.
#> 468 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.
#> 469 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.
#> 470 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.
#> 471 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.
#> 472 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.
#> 473 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.
#> 474 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.
#> 475 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.
#> 476 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.
#> 477 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.
#> 478 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.
#> 479 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.
#> 480 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.
#> 481 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.
#> 482 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.
#> 483 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.
#> 484 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.
#> 485 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.
#> 486 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.
#> 487 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.
#> 488 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.
#> 489 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.
#> 490 Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production.
#> 491 <NA>
#> 492 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.
#> 493 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.
#> 494 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).
#> 495 <NA>
#> 496 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).
#> 497 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.
#> 498 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.
#> 499 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.
#> 500 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.
#> 501 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.
#> 502 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.
#> 503 <NA>
#> 504 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.
#> 505 <NA>
#> 506 Forest rents are roundwood harvest times the product of regional prices and a regional rental rate.
#> 507 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.
#> 508 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.
#> 509 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.
#> 510 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.
#> 511 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.
#> 512 The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.
#> 513 <NA>
#> 514 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.
#> 515 <NA>
#> 516 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.
#> 517 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.
#> 518 <NA>
#> 519 <NA>
#> 520 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.
#> 521 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.
#> 522 <NA>
#> 523 <NA>
#> 524 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.
#> 525 <NA>
#> 526 Natural gas rents are the difference between the value of natural gas production at regional prices and total costs of production.
#> 527 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.
#> 528 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.
#> 529 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.
#> 530 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.
#> 531 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.
#> 532 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.
#> 533 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.
#> 534 <NA>
#> 535 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.
#> 536 Oil rents are the difference between the value of crude oil production at regional prices and total costs of production.
#> 537 Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.
#> 538 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.
#> 539 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.
#> 540 Gross domestic savings are calculated as the difference between GDP and total consumption. Data are in constant 2000 U.S. dollars.
#> 541 Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in constant local currency.
#> 542 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.
#> 543 Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant 2010 U.S. dollars.
#> 544 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.
#> 545 <NA>
#> 546 <NA>
#> 547 <NA>
#> 548 <NA>
#> 549 <NA>
#> 550 <NA>
#> 551 <NA>
#> 552 <NA>
#> 553 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.
#> 554 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.
#> 555 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.
#> 556 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.
#> 557 Savings is an amount that represents the part of disposable income (adjusted for the\n\n\n\n\n\n\n\n\nchange in pension entitlements) that is not spent on final consumption. Gross savings are calculated as gross national income less total consumption, plus net transfers. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.
#> 558 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.
#> 559 <NA>
#> 560 <NA>
#> 561 <NA>
#> 562 <NA>
#> 563 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.
#> 564 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.
#> 565 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.
#> 566 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.
#> 567 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.
#> 568 <NA>
#> 569 <NA>
#> 570 <NA>
#> 571 <NA>
#> 572 <NA>
#> 573 <NA>
#> 574 <NA>
#> 575 <NA>
#> 576 <NA>
#> 577 <NA>
#> 578 <NA>
#> 579 <NA>
#> 580 <NA>
#> 581 <NA>
#> 582 <NA>
#> 583 <NA>
#> 584 <NA>
#> 585 <NA>
#> 586 <NA>
#> 587 <NA>
#> 588 <NA>
#> 589 <NA>
#> 590 <NA>
#> 591 <NA>
#> 592 <NA>
#> 593 <NA>
#> 594 <NA>
#> 595 <NA>
#> 596 <NA>
#> 597 <NA>
#> 598 <NA>
#> 599 <NA>
#> 600 <NA>
#> 601 <NA>
#> 602 <NA>
#> 603 <NA>
#> 604 <NA>
#> 605 <NA>
#> 606 <NA>
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#> 612 <NA>
#> 613 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.
#> 614 <NA>
#> 615 <NA>
#> 616 <NA>
#> 617 <NA>
#> 618 <NA>
#> 619 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.
#> 620 <NA>
#> 621 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.
#> 622 <NA>
#> 623 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.
#> 624 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.
#> 625 <NA>
#> 626 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).
#> 627 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.
#> 628 Public expenditure on health from domestic sources as a share of the economy as measured by GDP.
#> 629 <NA>
#> 630 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.
#> 631 Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.
#> 632 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.
#> 633 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.
#> 634 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.
#> 635 GDP per person employed is gross domestic product (GDP) divided by total employment in the economy.
#> 636 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.
#> 637 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.
#> 638 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.
#> 639 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.
#> 640 <NA>
#> 641 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.
#> 642 <NA>
#> 643 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/
#> 644 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/
#> 645 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/
#> 646 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/
#> 647 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/
#> 648 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/
#> 649 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/
#> 650 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/
#> 651 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/
#> 652 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/
#> 653 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/
#> 654 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/
#> 655 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/
#> 656 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/
#> 657 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/
#> 658 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/
#> 659 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/
#> 660 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/
#> 661 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/
#> 662 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/
#> 663 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/
#> 664 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/
#> 665 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/
#> 666 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/
#> 667 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/
#> 668 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/
#> 669 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/
#> 670 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/
#> 671 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/
#> 672 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/
#> 673 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/
#> 674 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/
#> 675 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/
#> 676 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/
#> 677 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/
#> 678 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/
#> 679 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
#> 1 World Development Indicators (World Bank)
#> 2 World Development Indicators (World Bank)
#> 3 World Development Indicators (World Bank)
#> 4 World Development Indicators (World Bank)
#> 5 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)
#> 6 <NA>
#> 7 <NA>
#> 8 <NA>
#> 9 <NA>
#> 10 <NA>
#> 11 <NA>
#> 12 International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.
#> 13 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
#> 14 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)
#> 15 <NA>
#> 16 <NA>
#> 17 World Bank country economists.
#> 18 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 19 World Bank country economists.
#> 20 <NA>
#> 21 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 22 International Monetary Fund, Balance of Payments Statistics Yearbook and data files. World Bank GDP estimates are used for the denominator.
#> 23 <NA>
#> 24 <NA>
#> 25 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)
#> 26 World Bank staff estimates based on the International Monetary Fund's Balance of Payments Statistics Yearbook 2008, and World Bank and OECD GDP estimates.
#> 27 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)
#> 28 International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 29 Policy Instrument for the Environment Data Base, OECD. Available at: https://www.oecd.org/env/indicators-modelling-outlooks/policy-instrument-database/
#> 30 <NA>
#> 31 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 32 Climate Watch. 2020. Washington, DC: World Resources Institute. Available online at: https://www.climatewatchdata.org.
#> 33 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
#> 34 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
#> 35 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
#> 36 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.
#> 37 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.
#> 38 <NA>
#> 39 <NA>
#> 40 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 41 World Federation of Exchanges database, World Federation of Exchanges (WFE)
#> 42 <NA>
#> 43 <NA>
#> 44 <NA>
#> 45 <NA>
#> 46 <NA>
#> 47 <NA>
#> 48 <NA>
#> 49 <NA>
#> 50 <NA>
#> 51 <NA>
#> 52 <NA>
#> 53 <NA>
#> 54 <NA>
#> 55 <NA>
#> 56 <NA>
#> 57 <NA>
#> 58 <NA>
#> 59 <NA>
#> 60 <NA>
#> 61 <NA>
#> 62 <NA>
#> 63 <NA>
#> 64 <NA>
#> 65 <NA>
#> 66 <NA>
#> 67 <NA>
#> 68 <NA>
#> 69 <NA>
#> 70 <NA>
#> 71 <NA>
#> 72 <NA>
#> 73 <NA>
#> 74 <NA>
#> 75 <NA>
#> 76 <NA>
#> 77 <NA>
#> 78 <NA>
#> 79 <NA>
#> 80 <NA>
#> 81 <NA>
#> 82 <NA>
#> 83 <NA>
#> 84 <NA>
#> 85 <NA>
#> 86 <NA>
#> 87 <NA>
#> 88 <NA>
#> 89 <NA>
#> 90 <NA>
#> 91 <NA>
#> 92 <NA>
#> 93 <NA>
#> 94 <NA>
#> 95 <NA>
#> 96 <NA>
#> 97 <NA>
#> 98 <NA>
#> 99 <NA>
#> 100 <NA>
#> 101 <NA>
#> 102 <NA>
#> 103 <NA>
#> 104 <NA>
#> 105 <NA>
#> 106 <NA>
#> 107 <NA>
#> 108 <NA>
#> 109 <NA>
#> 110 <NA>
#> 111 <NA>
#> 112 <NA>
#> 113 <NA>
#> 114 <NA>
#> 115 <NA>
#> 116 <NA>
#> 117 <NA>
#> 118 <NA>
#> 119 <NA>
#> 120 <NA>
#> 121 <NA>
#> 122 <NA>
#> 123 <NA>
#> 124 <NA>
#> 125 <NA>
#> 126 <NA>
#> 127 <NA>
#> 128 <NA>
#> 129 <NA>
#> 130 <NA>
#> 131 <NA>
#> 132 <NA>
#> 133 <NA>
#> 134 <NA>
#> 135 <NA>
#> 136 <NA>
#> 137 <NA>
#> 138 <NA>
#> 139 <NA>
#> 140 <NA>
#> 141 <NA>
#> 142 <NA>
#> 143 <NA>
#> 144 <NA>
#> 145 <NA>
#> 146 <NA>
#> 147 <NA>
#> 148 <NA>
#> 149 <NA>
#> 150 <NA>
#> 151 <NA>
#> 152 <NA>
#> 153 <NA>
#> 154 <NA>
#> 155 <NA>
#> 156 <NA>
#> 157 <NA>
#> 158 <NA>
#> 159 <NA>
#> 160 <NA>
#> 161 <NA>
#> 162 <NA>
#> 163 <NA>
#> 164 <NA>
#> 165 <NA>
#> 166 <NA>
#> 167 <NA>
#> 168 <NA>
#> 169 <NA>
#> 170 <NA>
#> 171 <NA>
#> 172 <NA>
#> 173 <NA>
#> 174 <NA>
#> 175 <NA>
#> 176 <NA>
#> 177 <NA>
#> 178 <NA>
#> 179 <NA>
#> 180 <NA>
#> 181 <NA>
#> 182 <NA>
#> 183 <NA>
#> 184 <NA>
#> 185 <NA>
#> 186 <NA>
#> 187 <NA>
#> 188 <NA>
#> 189 <NA>
#> 190 <NA>
#> 191 <NA>
#> 192 <NA>
#> 193 <NA>
#> 194 <NA>
#> 195 <NA>
#> 196 <NA>
#> 197 <NA>
#> 198 <NA>
#> 199 <NA>
#> 200 <NA>
#> 201 <NA>
#> 202 <NA>
#> 203 <NA>
#> 204 <NA>
#> 205 <NA>
#> 206 <NA>
#> 207 <NA>
#> 208 <NA>
#> 209 <NA>
#> 210 <NA>
#> 211 <NA>
#> 212 World Bank, Global Development Finance.
#> 213 World Bank, Global Development Finance.
#> 214 World Bank, Global Development Finance.
#> 215 World Bank, Global Development Finance.
#> 216 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.
#> 217 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.
#> 218 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.
#> 219 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.
#> 220 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.
#> 221 World Bank, Global Development Finance.
#> 222 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
#> 223 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
#> 224 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
#> 225 <NA>
#> 226 <NA>
#> 227 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
#> 228 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
#> 229 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
#> 230 <NA>
#> 231 <NA>
#> 232 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.
#> 233 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.
#> 234 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.
#> 235 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
#> 236 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
#> 237 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)
#> 238 <NA>
#> 239 <NA>
#> 240 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)
#> 241 International Monetary Fund, International Financial Statistics and data files.
#> 242 "International Monetary Fund.\r"
#> 243 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)
#> 244 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)
#> 245 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 246 <NA>
#> 247 <NA>
#> 248 <NA>
#> 249 <NA>
#> 250 International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.
#> 251 International Financial Statistics database, International Monetary Fund (IMF);\nWorld Development Indicators, World Bank (WB)
#> 252 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)
#> 253 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)
#> 254 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)
#> 255 <NA>
#> 256 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)
#> 257 <NA>
#> 258 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 259 <NA>
#> 260 International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.
#> 261 <NA>
#> 262 <NA>
#> 263 <NA>
#> 264 <NA>
#> 265 <NA>
#> 266 <NA>
#> 267 <NA>
#> 268 <NA>
#> 269 <NA>
#> 270 <NA>
#> 271 World Bank country economists.
#> 272 <NA>
#> 273 <NA>
#> 274 <NA>
#> 275 <NA>
#> 276 <NA>
#> 277 <NA>
#> 278 <NA>
#> 279 <NA>
#> 280 <NA>
#> 281 <NA>
#> 282 <NA>
#> 283 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
#> 284 <NA>
#> 285 <NA>
#> 286 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 287 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 288 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 289 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 290 International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.
#> 291 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 292 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 293 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 294 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 295 Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF)
#> 296 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)
#> 297 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 298 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 299 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 300 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 301 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 302 World Bank - Non banking financial database
#> 303 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 304 Sigma Reports, Swiss Re
#> 305 Sigma Reports, Swiss Re
#> 306 Nonbanking financial database, World Bank
#> 307 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 308 Nonbanking financial database, World Bank
#> 309 World Development Indicators (WDI), World Bank
#> 310 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 311 Global Stock Markets Factbook and supplemental S&P data, Standard & Poor's
#> 312 Bank for International Settlements (BIS)
#> 313 Bank for International Settlements (BIS)
#> 314 Bank for International Settlements (BIS)
#> 315 Bank for International Settlements (BIS)
#> 316 Bank for International Settlements (BIS)
#> 317 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 318 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 319 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 320 <NA>
#> 321 <NA>
#> 322 <NA>
#> 323 <NA>
#> 324 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 325 International Financial Statistics (IFS), International Monetary Fund (IMF)
#> 326 Bank for International Settlements (BIS)
#> 327 Bank for International Settlements (BIS)
#> 328 World Development Indicators (WDI), World Bank
#> 329 Consolidated banking statistics, Bank for International Settlements (BIS)
#> 330 White Clarke Global Leasing Report
#> 331 Factors Chain International
#> 332 Luc Laeven and Fabián Valencia, 2012. “Systemic Banking Crises Database: An Update”, IMF Working Paper WP/12/163
#> 333 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 334 World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
#> 335 World Information Technology and Services Alliance, Digital Planet: The Global Information Economy, and Global Insight, Inc.
#> 336 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 337 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 338 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 339 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 340 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 341 Source : Central Statistics Office (CSO), Ministry of Statistics and Prgramme Implementation, Gov't of India website as on 01.08.13
#> 342 <NA>
#> 343 <NA>
#> 344 International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.
#> 345 Mo Ibrahim Foundation, electronic files and web site.
#> 346 SIPRI Military Expenditure Database, Stockholm International Peace Research Institute (SIPRI), uri: https://www.sipri.org/databases
#> 347 <NA>
#> 348 <NA>
#> 349 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 350 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 351 <NA>
#> 352 <NA>
#> 353 <NA>
#> 354 <NA>
#> 355 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 356 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 357 <NA>
#> 358 <NA>
#> 359 <NA>
#> 360 <NA>
#> 361 <NA>
#> 362 <NA>
#> 363 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 364 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 365 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 366 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 367 <NA>
#> 368 <NA>
#> 369 <NA>
#> 370 <NA>
#> 371 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 372 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 373 <NA>
#> 374 <NA>
#> 375 <NA>
#> 376 <NA>
#> 377 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 378 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 379 <NA>
#> 380 <NA>
#> 381 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 382 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 383 <NA>
#> 384 <NA>
#> 385 <NA>
#> 386 <NA>
#> 387 <NA>
#> 388 <NA>
#> 389 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 390 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 391 <NA>
#> 392 <NA>
#> 393 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 394 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 395 <NA>
#> 396 <NA>
#> 397 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 398 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 399 <NA>
#> 400 <NA>
#> 401 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 402 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 403 <NA>
#> 404 <NA>
#> 405 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 406 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.
#> 407 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.
#> 408 World Bank national accounts data, and OECD National Accounts data files.
#> 409 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)
#> 410 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)
#> 411 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)
#> 412 World Bank national accounts data, and OECD National Accounts data files.
#> 413 <NA>
#> 414 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)
#> 415 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)
#> 416 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 417 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 418 <NA>
#> 419 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 420 <NA>
#> 421 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 422 <NA>
#> 423 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 424 <NA>
#> 425 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)
#> 426 World Bank national accounts data, and OECD National Accounts data files.
#> 427 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 428 <NA>
#> 429 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)
#> 430 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 431 <NA>
#> 432 <NA>
#> 433 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 434 <NA>
#> 435 BADAN PUSAT STATISTIK - Statistics Indonesia
#> 436 <NA>
#> 437 <NA>
#> 438 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)
#> 439 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 440 World Bank country economists.
#> 441 <NA>
#> 442 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)
#> 443 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)
#> 444 <NA>
#> 445 <NA>
#> 446 <NA>
#> 447 World Bank country economists.
#> 448 World Bank country economists.
#> 449 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)
#> 450 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 451 <NA>
#> 452 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 453 World Bank national accounts data, and OECD National Accounts data files.
#> 454 World Bank national accounts data, and OECD National Accounts data files.
#> 455 World Bank national accounts data, and OECD National Accounts data files.
#> 456 <NA>
#> 457 World Bank national accounts data, and OECD National Accounts data files.
#> 458 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 459 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.
#> 460 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.
#> 461 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.
#> 462 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.
#> 463 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.
#> 464 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.
#> 465 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.
#> 466 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.
#> 467 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.
#> 468 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.
#> 469 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.
#> 470 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.
#> 471 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.
#> 472 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.
#> 473 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.
#> 474 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.
#> 475 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.
#> 476 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.
#> 477 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.
#> 478 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.
#> 479 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.
#> 480 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.
#> 481 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.
#> 482 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.
#> 483 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.
#> 484 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.
#> 485 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.
#> 486 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.
#> 487 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.
#> 488 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.
#> 489 Organisation for Economic Co-operation and Development, Producer and Consumer Support Estimates database. Available online at www.oecd.org/tad/support/psecse.
#> 490 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.
#> 491 <NA>
#> 492 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 493 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)
#> 494 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)
#> 495 <NA>
#> 496 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)
#> 497 World Bank national accounts data, and OECD National Accounts data files.
#> 498 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)
#> 499 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)
#> 500 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 501 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)
#> 502 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)
#> 503 <NA>
#> 504 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 505 <NA>
#> 506 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.
#> 507 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.
#> 508 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)
#> 509 World Bank country economists.
#> 510 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)
#> 511 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)
#> 512 World Bank country economists.
#> 513 <NA>
#> 514 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)
#> 515 <NA>
#> 516 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)
#> 517 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)
#> 518 <NA>
#> 519 <NA>
#> 520 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)
#> 521 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)
#> 522 <NA>
#> 523 <NA>
#> 524 World Bank national accounts data, and OECD National Accounts data files.
#> 525 <NA>
#> 526 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.
#> 527 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)
#> 528 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)
#> 529 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)
#> 530 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)
#> 531 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)
#> 532 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)
#> 533 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)
#> 534 <NA>
#> 535 "World Bank, International Comparison Programme database.\r"
#> 536 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.
#> 537 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.
#> 538 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)
#> 539 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)
#> 540 World Bank country economists.
#> 541 World Bank national accounts data, and OECD National Accounts data files.
#> 542 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)
#> 543 World Bank national accounts data, and OECD National Accounts data files.
#> 544 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)
#> 545 <NA>
#> 546 <NA>
#> 547 <NA>
#> 548 <NA>
#> 549 <NA>
#> 550 <NA>
#> 551 <NA>
#> 552 <NA>
#> 553 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)
#> 554 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)
#> 555 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)
#> 556 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)
#> 557 Country official statistics, National Statistical Offices (NSOs);\nNational Accounts data files, Central Banks;\nStaff estimates, World Bank (WB)
#> 558 The World Bank
#> 559 <NA>
#> 560 <NA>
#> 561 <NA>
#> 562 <NA>
#> 563 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators
#> 564 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
#> 565 World Bank, International Comparison Program database.
#> 566 World Development Indicators, World Bank (WB), uri: https://databank.worldbank.org/source/world-development-indicators, publisher: World Development Indicators, type: International database
#> 567 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
#> 568 <NA>
#> 569 <NA>
#> 570 <NA>
#> 571 <NA>
#> 572 <NA>
#> 573 <NA>
#> 574 <NA>
#> 575 <NA>
#> 576 <NA>
#> 577 <NA>
#> 578 <NA>
#> 579 <NA>
#> 580 <NA>
#> 581 <NA>
#> 582 <NA>
#> 583 <NA>
#> 584 <NA>
#> 585 <NA>
#> 586 <NA>
#> 587 <NA>
#> 588 <NA>
#> 589 <NA>
#> 590 <NA>
#> 591 <NA>
#> 592 <NA>
#> 593 <NA>
#> 594 <NA>
#> 595 <NA>
#> 596 <NA>
#> 597 <NA>
#> 598 <NA>
#> 599 <NA>
#> 600 <NA>
#> 601 <NA>
#> 602 <NA>
#> 603 <NA>
#> 604 <NA>
#> 605 <NA>
#> 606 <NA>
#> 607 <NA>
#> 608 <NA>
#> 609 <NA>
#> 610 <NA>
#> 611 <NA>
#> 612 <NA>
#> 613 Ministry of Finance, SIKD (Information System for Sub-National Budget) and LKPP (Central Government Financial Report)
#> 614 <NA>
#> 615 World Bank, Global Education Policy Dashboard
#> 616 World Bank, Global Education Policy Dashboard
#> 617 <NA>
#> 618 <NA>
#> 619 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 620 <NA>
#> 621 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 622 <NA>
#> 623 Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
#> 624 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
#> 625 <NA>
#> 626 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
#> 627 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: https://apps.who.int/nha/database
#> 628 Global Health Expenditure Database, updated December 12th, 2025, World Health Organization (WHO), uri: http://apps.who.int/nha/database
#> 629 <NA>
#> 630 World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database). The data was retrieved on April 7, 2023.
#> 631 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 632 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 633 World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).
#> 634 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)
#> 635 International Labour Organization, Key Indicators of the Labour Market database.
#> 636 Derived using data from International Labour Organization, ILOSTAT database. The data retrieved in March 1, 2020.
#> 637 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 638 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 639 Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
#> 640 <NA>
#> 641 World Trade Organization (WTO);\nWorld Bank GDP estimates, World Bank (WB);\nWorld Development Indicators, World Bank (WB)
#> 642 <NA>
#> 643 UNESCO Institute for Statistics
#> 644 UNESCO Institute for Statistics
#> 645 UNESCO Institute for Statistics
#> 646 UNESCO Institute for Statistics
#> 647 UNESCO Institute for Statistics
#> 648 UNESCO Institute for Statistics
#> 649 UNESCO Institute for Statistics
#> 650 UNESCO Institute for Statistics
#> 651 UNESCO Institute for Statistics
#> 652 UNESCO Institute for Statistics
#> 653 UNESCO Institute for Statistics
#> 654 UNESCO Institute for Statistics
#> 655 UNESCO Institute for Statistics
#> 656 UNESCO Institute for Statistics
#> 657 UNESCO Institute for Statistics
#> 658 UNESCO Institute for Statistics
#> 659 UNESCO Institute for Statistics
#> 660 UNESCO Institute for Statistics
#> 661 UNESCO Institute for Statistics
#> 662 UNESCO Institute for Statistics
#> 663 UNESCO Institute for Statistics
#> 664 UNESCO Institute for Statistics
#> 665 UNESCO Institute for Statistics
#> 666 UNESCO Institute for Statistics
#> 667 UNESCO Institute for Statistics
#> 668 UNESCO Institute for Statistics
#> 669 UNESCO Institute for Statistics
#> 670 UNESCO Institute for Statistics
#> 671 UNESCO Institute for Statistics
#> 672 UNESCO Institute for Statistics
#> 673 UNESCO Institute for Statistics
#> 674 UNESCO Institute for Statistics
#> 675 UNESCO Institute for Statistics
#> 676 UNESCO Institute for Statistics
#> 677 UNESCO Institute for Statistics
#> 678 UNESCO Institute for Statistics
#> 679 UNESCO Institute for Statistics
#> topic_id topic_value
#> 1 3 Economy & Growth
#> 2 3 Economy & Growth
#> 3 3 Economy & Growth
#> 4 3 Economy & Growth
#> 5 3 Economy & Growth
#> 6 NA <NA>
#> 7 NA <NA>
#> 8 NA <NA>
#> 9 NA <NA>
#> 10 NA <NA>
#> 11 NA <NA>
#> 12 NA <NA>
#> 13 3 Economy & Growth
#> 14 3 Economy & Growth
#> 15 NA <NA>
#> 16 NA <NA>
#> 17 NA <NA>
#> 18 NA <NA>
#> 19 NA <NA>
#> 20 NA <NA>
#> 21 3 Economy & Growth
#> 22 NA <NA>
#> 23 NA <NA>
#> 24 NA <NA>
#> 25 3 Economy & Growth
#> 26 NA <NA>
#> 27 3 Economy & Growth
#> 28 NA <NA>
#> 29 NA <NA>
#> 30 NA <NA>
#> 31 NA <NA>
#> 32 NA <NA>
#> 33 NA <NA>
#> 34 NA <NA>
#> 35 NA <NA>
#> 36 NA <NA>
#> 37 NA <NA>
#> 38 NA <NA>
#> 39 NA <NA>
#> 40 7 Financial Sector
#> 41 7 Financial Sector
#> 42 NA <NA>
#> 43 NA <NA>
#> 44 NA <NA>
#> 45 NA <NA>
#> 46 NA <NA>
#> 47 NA <NA>
#> 48 NA <NA>
#> 49 NA <NA>
#> 50 NA <NA>
#> 51 NA <NA>
#> 52 NA <NA>
#> 53 NA <NA>
#> 54 NA <NA>
#> 55 NA <NA>
#> 56 NA <NA>
#> 57 NA <NA>
#> 58 NA <NA>
#> 59 NA <NA>
#> 60 NA <NA>
#> 61 NA <NA>
#> 62 NA <NA>
#> 63 NA <NA>
#> 64 NA <NA>
#> 65 NA <NA>
#> 66 NA <NA>
#> 67 NA <NA>
#> 68 NA <NA>
#> 69 NA <NA>
#> 70 NA <NA>
#> 71 NA <NA>
#> 72 NA <NA>
#> 73 NA <NA>
#> 74 NA <NA>
#> 75 NA <NA>
#> 76 NA <NA>
#> 77 NA <NA>
#> 78 NA <NA>
#> 79 NA <NA>
#> 80 NA <NA>
#> 81 NA <NA>
#> 82 NA <NA>
#> 83 NA <NA>
#> 84 NA <NA>
#> 85 NA <NA>
#> 86 NA <NA>
#> 87 NA <NA>
#> 88 NA <NA>
#> 89 NA <NA>
#> 90 NA <NA>
#> 91 NA <NA>
#> 92 NA <NA>
#> 93 NA <NA>
#> 94 NA <NA>
#> 95 NA <NA>
#> 96 NA <NA>
#> 97 NA <NA>
#> 98 NA <NA>
#> 99 NA <NA>
#> 100 NA <NA>
#> 101 NA <NA>
#> 102 NA <NA>
#> 103 NA <NA>
#> 104 NA <NA>
#> 105 NA <NA>
#> 106 NA <NA>
#> 107 NA <NA>
#> 108 NA <NA>
#> 109 NA <NA>
#> 110 NA <NA>
#> 111 NA <NA>
#> 112 NA <NA>
#> 113 NA <NA>
#> 114 NA <NA>
#> 115 NA <NA>
#> 116 NA <NA>
#> 117 NA <NA>
#> 118 NA <NA>
#> 119 NA <NA>
#> 120 NA <NA>
#> 121 NA <NA>
#> 122 NA <NA>
#> 123 NA <NA>
#> 124 NA <NA>
#> 125 NA <NA>
#> 126 NA <NA>
#> 127 NA <NA>
#> 128 NA <NA>
#> 129 NA <NA>
#> 130 NA <NA>
#> 131 NA <NA>
#> 132 NA <NA>
#> 133 NA <NA>
#> 134 NA <NA>
#> 135 NA <NA>
#> 136 NA <NA>
#> 137 NA <NA>
#> 138 NA <NA>
#> 139 NA <NA>
#> 140 NA <NA>
#> 141 NA <NA>
#> 142 NA <NA>
#> 143 NA <NA>
#> 144 NA <NA>
#> 145 NA <NA>
#> 146 NA <NA>
#> 147 NA <NA>
#> 148 NA <NA>
#> 149 NA <NA>
#> 150 NA <NA>
#> 151 NA <NA>
#> 152 NA <NA>
#> 153 NA <NA>
#> 154 NA <NA>
#> 155 NA <NA>
#> 156 NA <NA>
#> 157 NA <NA>
#> 158 NA <NA>
#> 159 NA <NA>
#> 160 NA <NA>
#> 161 NA <NA>
#> 162 NA <NA>
#> 163 NA <NA>
#> 164 NA <NA>
#> 165 NA <NA>
#> 166 NA <NA>
#> 167 NA <NA>
#> 168 NA <NA>
#> 169 NA <NA>
#> 170 NA <NA>
#> 171 NA <NA>
#> 172 NA <NA>
#> 173 NA <NA>
#> 174 NA <NA>
#> 175 NA <NA>
#> 176 NA <NA>
#> 177 NA <NA>
#> 178 NA <NA>
#> 179 NA <NA>
#> 180 NA <NA>
#> 181 NA <NA>
#> 182 NA <NA>
#> 183 NA <NA>
#> 184 NA <NA>
#> 185 NA <NA>
#> 186 NA <NA>
#> 187 NA <NA>
#> 188 NA <NA>
#> 189 NA <NA>
#> 190 NA <NA>
#> 191 NA <NA>
#> 192 NA <NA>
#> 193 NA <NA>
#> 194 NA <NA>
#> 195 NA <NA>
#> 196 NA <NA>
#> 197 NA <NA>
#> 198 NA <NA>
#> 199 NA <NA>
#> 200 NA <NA>
#> 201 NA <NA>
#> 202 NA <NA>
#> 203 NA <NA>
#> 204 NA <NA>
#> 205 NA <NA>
#> 206 NA <NA>
#> 207 NA <NA>
#> 208 NA <NA>
#> 209 NA <NA>
#> 210 NA <NA>
#> 211 NA <NA>
#> 212 NA <NA>
#> 213 NA <NA>
#> 214 NA <NA>
#> 215 NA <NA>
#> 216 NA <NA>
#> 217 NA <NA>
#> 218 NA <NA>
#> 219 NA <NA>
#> 220 NA <NA>
#> 221 NA <NA>
#> 222 NA <NA>
#> 223 NA <NA>
#> 224 5 Energy & Mining
#> 225 NA <NA>
#> 226 NA <NA>
#> 227 5 Energy & Mining
#> 228 5 Energy & Mining
#> 229 5 Energy & Mining
#> 230 NA <NA>
#> 231 NA <NA>
#> 232 19 Climate Change
#> 233 19 Climate Change
#> 234 19 Climate Change
#> 235 6 Environment
#> 236 6 Environment
#> 237 6 Environment
#> 238 NA <NA>
#> 239 NA <NA>
#> 240 7 Financial Sector
#> 241 NA <NA>
#> 242 NA <NA>
#> 243 7 Financial Sector
#> 244 7 Financial Sector
#> 245 NA <NA>
#> 246 NA <NA>
#> 247 NA <NA>
#> 248 NA <NA>
#> 249 NA <NA>
#> 250 NA <NA>
#> 251 7 Financial Sector
#> 252 7 Financial Sector
#> 253 7 Financial Sector
#> 254 7 Financial Sector
#> 255 NA <NA>
#> 256 7 Financial Sector
#> 257 NA <NA>
#> 258 NA <NA>
#> 259 NA <NA>
#> 260 NA <NA>
#> 261 NA <NA>
#> 262 NA <NA>
#> 263 NA <NA>
#> 264 NA <NA>
#> 265 NA <NA>
#> 266 NA <NA>
#> 267 NA <NA>
#> 268 NA <NA>
#> 269 NA <NA>
#> 270 NA <NA>
#> 271 NA <NA>
#> 272 NA <NA>
#> 273 NA <NA>
#> 274 NA <NA>
#> 275 NA <NA>
#> 276 NA <NA>
#> 277 NA <NA>
#> 278 NA <NA>
#> 279 NA <NA>
#> 280 NA <NA>
#> 281 NA <NA>
#> 282 NA <NA>
#> 283 14 Science & Technology
#> 284 NA <NA>
#> 285 NA <NA>
#> 286 13 Public Sector
#> 287 NA <NA>
#> 288 3 Economy & Growth
#> 289 NA <NA>
#> 290 NA <NA>
#> 291 13 Public Sector
#> 292 13 Public Sector
#> 293 13 Public Sector
#> 294 3 Economy & Growth
#> 295 13 Public Sector
#> 296 3 Economy & Growth
#> 297 7 Financial Sector
#> 298 7 Financial Sector
#> 299 7 Financial Sector
#> 300 7 Financial Sector
#> 301 7 Financial Sector
#> 302 7 Financial Sector
#> 303 7 Financial Sector
#> 304 7 Financial Sector
#> 305 7 Financial Sector
#> 306 7 Financial Sector
#> 307 7 Financial Sector
#> 308 7 Financial Sector
#> 309 7 Financial Sector
#> 310 7 Financial Sector
#> 311 7 Financial Sector
#> 312 7 Financial Sector
#> 313 7 Financial Sector
#> 314 7 Financial Sector
#> 315 7 Financial Sector
#> 316 7 Financial Sector
#> 317 7 Financial Sector
#> 318 7 Financial Sector
#> 319 7 Financial Sector
#> 320 NA <NA>
#> 321 NA <NA>
#> 322 NA <NA>
#> 323 NA <NA>
#> 324 7 Financial Sector
#> 325 7 Financial Sector
#> 326 7 Financial Sector
#> 327 7 Financial Sector
#> 328 7 Financial Sector
#> 329 7 Financial Sector
#> 330 7 Financial Sector
#> 331 7 Financial Sector
#> 332 7 Financial Sector
#> 333 NA <NA>
#> 334 NA <NA>
#> 335 9 Infrastructure
#> 336 NA <NA>
#> 337 NA <NA>
#> 338 NA <NA>
#> 339 NA <NA>
#> 340 NA <NA>
#> 341 NA <NA>
#> 342 NA <NA>
#> 343 NA <NA>
#> 344 9 Infrastructure
#> 345 NA <NA>
#> 346 13 Public Sector
#> 347 NA <NA>
#> 348 NA <NA>
#> 349 NA <NA>
#> 350 NA <NA>
#> 351 NA <NA>
#> 352 NA <NA>
#> 353 NA <NA>
#> 354 NA <NA>
#> 355 NA <NA>
#> 356 NA <NA>
#> 357 NA <NA>
#> 358 NA <NA>
#> 359 NA <NA>
#> 360 NA <NA>
#> 361 NA <NA>
#> 362 NA <NA>
#> 363 NA <NA>
#> 364 NA <NA>
#> 365 NA <NA>
#> 366 NA <NA>
#> 367 NA <NA>
#> 368 NA <NA>
#> 369 NA <NA>
#> 370 NA <NA>
#> 371 NA <NA>
#> 372 NA <NA>
#> 373 NA <NA>
#> 374 NA <NA>
#> 375 NA <NA>
#> 376 NA <NA>
#> 377 NA <NA>
#> 378 NA <NA>
#> 379 NA <NA>
#> 380 NA <NA>
#> 381 NA <NA>
#> 382 NA <NA>
#> 383 NA <NA>
#> 384 NA <NA>
#> 385 NA <NA>
#> 386 NA <NA>
#> 387 NA <NA>
#> 388 NA <NA>
#> 389 NA <NA>
#> 390 NA <NA>
#> 391 NA <NA>
#> 392 NA <NA>
#> 393 NA <NA>
#> 394 NA <NA>
#> 395 NA <NA>
#> 396 NA <NA>
#> 397 NA <NA>
#> 398 NA <NA>
#> 399 NA <NA>
#> 400 NA <NA>
#> 401 NA <NA>
#> 402 NA <NA>
#> 403 NA <NA>
#> 404 NA <NA>
#> 405 3 Economy & Growth
#> 406 NA <NA>
#> 407 NA <NA>
#> 408 3 Economy & Growth
#> 409 3 Economy & Growth
#> 410 3 Economy & Growth
#> 411 3 Economy & Growth
#> 412 3 Economy & Growth
#> 413 NA <NA>
#> 414 3 Economy & Growth
#> 415 3 Economy & Growth
#> 416 3 Economy & Growth
#> 417 NA <NA>
#> 418 NA <NA>
#> 419 NA <NA>
#> 420 NA <NA>
#> 421 NA <NA>
#> 422 NA <NA>
#> 423 NA <NA>
#> 424 NA <NA>
#> 425 3 Economy & Growth
#> 426 NA <NA>
#> 427 NA <NA>
#> 428 NA <NA>
#> 429 3 Economy & Growth
#> 430 NA <NA>
#> 431 NA <NA>
#> 432 NA <NA>
#> 433 NA <NA>
#> 434 NA <NA>
#> 435 NA <NA>
#> 436 NA <NA>
#> 437 NA <NA>
#> 438 3 Economy & Growth
#> 439 3 Economy & Growth
#> 440 NA <NA>
#> 441 NA <NA>
#> 442 3 Economy & Growth
#> 443 3 Economy & Growth
#> 444 NA <NA>
#> 445 NA <NA>
#> 446 NA <NA>
#> 447 NA <NA>
#> 448 NA <NA>
#> 449 1 Agriculture & Rural Development
#> 450 3 Economy & Growth
#> 451 NA <NA>
#> 452 3 Economy & Growth
#> 453 NA <NA>
#> 454 NA <NA>
#> 455 NA <NA>
#> 456 NA <NA>
#> 457 3 Economy & Growth
#> 458 3 Economy & Growth
#> 459 NA <NA>
#> 460 NA <NA>
#> 461 NA <NA>
#> 462 NA <NA>
#> 463 NA <NA>
#> 464 NA <NA>
#> 465 NA <NA>
#> 466 NA <NA>
#> 467 NA <NA>
#> 468 NA <NA>
#> 469 NA <NA>
#> 470 NA <NA>
#> 471 NA <NA>
#> 472 NA <NA>
#> 473 NA <NA>
#> 474 NA <NA>
#> 475 NA <NA>
#> 476 NA <NA>
#> 477 NA <NA>
#> 478 NA <NA>
#> 479 NA <NA>
#> 480 NA <NA>
#> 481 NA <NA>
#> 482 NA <NA>
#> 483 NA <NA>
#> 484 NA <NA>
#> 485 NA <NA>
#> 486 NA <NA>
#> 487 NA <NA>
#> 488 NA <NA>
#> 489 18 Millenium development goals
#> 490 6 Environment
#> 491 NA <NA>
#> 492 3 Economy & Growth
#> 493 7 Financial Sector
#> 494 3 Economy & Growth
#> 495 NA <NA>
#> 496 7 Financial Sector
#> 497 NA <NA>
#> 498 3 Economy & Growth
#> 499 3 Economy & Growth
#> 500 3 Economy & Growth
#> 501 3 Economy & Growth
#> 502 3 Economy & Growth
#> 503 NA <NA>
#> 504 3 Economy & Growth
#> 505 NA <NA>
#> 506 6 Environment
#> 507 5 Energy & Mining
#> 508 3 Economy & Growth
#> 509 NA <NA>
#> 510 3 Economy & Growth
#> 511 3 Economy & Growth
#> 512 NA <NA>
#> 513 NA <NA>
#> 514 3 Economy & Growth
#> 515 NA <NA>
#> 516 3 Economy & Growth
#> 517 3 Economy & Growth
#> 518 NA <NA>
#> 519 NA <NA>
#> 520 3 Economy & Growth
#> 521 3 Economy & Growth
#> 522 NA <NA>
#> 523 NA <NA>
#> 524 NA <NA>
#> 525 NA <NA>
#> 526 5 Energy & Mining
#> 527 3 Economy & Growth
#> 528 3 Economy & Growth
#> 529 3 Economy & Growth
#> 530 3 Economy & Growth
#> 531 3 Economy & Growth
#> 532 3 Economy & Growth
#> 533 3 Economy & Growth
#> 534 NA <NA>
#> 535 NA <NA>
#> 536 5 Energy & Mining
#> 537 5 Energy & Mining
#> 538 3 Economy & Growth
#> 539 3 Economy & Growth
#> 540 NA <NA>
#> 541 NA <NA>
#> 542 3 Economy & Growth
#> 543 NA <NA>
#> 544 3 Economy & Growth
#> 545 NA <NA>
#> 546 NA <NA>
#> 547 NA <NA>
#> 548 NA <NA>
#> 549 NA <NA>
#> 550 NA <NA>
#> 551 NA <NA>
#> 552 NA <NA>
#> 553 3 Economy & Growth
#> 554 3 Economy & Growth
#> 555 3 Economy & Growth
#> 556 3 Economy & Growth
#> 557 3 Economy & Growth
#> 558 NA <NA>
#> 559 NA <NA>
#> 560 NA <NA>
#> 561 NA <NA>
#> 562 NA <NA>
#> 563 NA <NA>
#> 564 3 Economy & Growth
#> 565 3 Economy & Growth
#> 566 3 Economy & Growth
#> 567 3 Economy & Growth
#> 568 NA <NA>
#> 569 NA <NA>
#> 570 NA <NA>
#> 571 NA <NA>
#> 572 NA <NA>
#> 573 NA <NA>
#> 574 NA <NA>
#> 575 NA <NA>
#> 576 NA <NA>
#> 577 NA <NA>
#> 578 NA <NA>
#> 579 NA <NA>
#> 580 NA <NA>
#> 581 NA <NA>
#> 582 NA <NA>
#> 583 NA <NA>
#> 584 NA <NA>
#> 585 NA <NA>
#> 586 NA <NA>
#> 587 NA <NA>
#> 588 NA <NA>
#> 589 NA <NA>
#> 590 NA <NA>
#> 591 NA <NA>
#> 592 NA <NA>
#> 593 NA <NA>
#> 594 NA <NA>
#> 595 NA <NA>
#> 596 NA <NA>
#> 597 NA <NA>
#> 598 NA <NA>
#> 599 NA <NA>
#> 600 NA <NA>
#> 601 NA <NA>
#> 602 NA <NA>
#> 603 NA <NA>
#> 604 NA <NA>
#> 605 NA <NA>
#> 606 NA <NA>
#> 607 NA <NA>
#> 608 NA <NA>
#> 609 NA <NA>
#> 610 NA <NA>
#> 611 NA <NA>
#> 612 NA <NA>
#> 613 NA <NA>
#> 614 NA <NA>
#> 615 NA <NA>
#> 616 NA <NA>
#> 617 NA <NA>
#> 618 NA <NA>
#> 619 4 Education
#> 620 NA <NA>
#> 621 4 Education
#> 622 NA <NA>
#> 623 4 Education
#> 624 4 Education
#> 625 NA <NA>
#> 626 8 Health
#> 627 8 Health
#> 628 8 Health
#> 629 NA <NA>
#> 630 NA <NA>
#> 631 8 Health
#> 632 8 Health
#> 633 8 Health
#> 634 10 Social Protection & Labor
#> 635 NA <NA>
#> 636 NA <NA>
#> 637 NA <NA>
#> 638 NA <NA>
#> 639 NA <NA>
#> 640 NA <NA>
#> 641 12 Private Sector
#> 642 NA <NA>
#> 643 NA <NA>
#> 644 NA <NA>
#> 645 NA <NA>
#> 646 NA <NA>
#> 647 NA <NA>
#> 648 NA <NA>
#> 649 NA <NA>
#> 650 NA <NA>
#> 651 NA <NA>
#> 652 NA <NA>
#> 653 NA <NA>
#> 654 NA <NA>
#> 655 NA <NA>
#> 656 NA <NA>
#> 657 NA <NA>
#> 658 NA <NA>
#> 659 NA <NA>
#> 660 NA <NA>
#> 661 NA <NA>
#> 662 NA <NA>
#> 663 NA <NA>
#> 664 NA <NA>
#> 665 NA <NA>
#> 666 NA <NA>
#> 667 NA <NA>
#> 668 NA <NA>
#> 669 NA <NA>
#> 670 NA <NA>
#> 671 NA <NA>
#> 672 NA <NA>
#> 673 NA <NA>
#> 674 NA <NA>
#> 675 NA <NA>
#> 676 NA <NA>
#> 677 NA <NA>
#> 678 NA <NA>
#> 679 NA <NA>
# }