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378b188
added validation_config.json
niveditasing May 8, 2026
839f6a0
added validation_config.json
niveditasing May 8, 2026
faccf01
added validation_config.json
niveditasing May 8, 2026
7be6ddd
added validation_config.json
niveditasing May 8, 2026
4d1fdee
changes made
niveditasing May 11, 2026
9ef40b8
fixed validation config
niveditasing May 12, 2026
50ffd7f
fixed json
niveditasing May 12, 2026
49a82cd
fixed json
niveditasing May 12, 2026
fc48353
fix
niveditasing May 12, 2026
27d3399
updated Readme.md & added goldens
niveditasing May 14, 2026
f0dfec6
updated Readme.md & added goldens
niveditasing May 14, 2026
43a010c
Remove mistakenly pushed golden_observations.csv
niveditasing May 14, 2026
b809efe
Merge branch 'master' into implemented_golden_checks
niveditasing May 17, 2026
06b8b1b
added golden files
niveditasing May 17, 2026
87f90cb
Remove old golden files from tools directory
niveditasing May 17, 2026
bfcf6f5
added golden files
niveditasing May 17, 2026
e8970dc
modified README.md
niveditasing May 18, 2026
d965dcb
modifief validation.md
niveditasing May 18, 2026
95ad06b
modifief validation.md & output
niveditasing May 18, 2026
2016f43
Merge branch 'master' into implemented_golden_checks
niveditasing May 19, 2026
2a1af75
changed threshold
niveditasing May 20, 2026
a3dff61
added threshold
niveditasing May 21, 2026
c4be0cd
added only one column in golden_WprldBank.csv
niveditasing May 21, 2026
c8a4fa3
modified readme
niveditasing May 21, 2026
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19 changes: 19 additions & 0 deletions scripts/world_bank/wdi/README.md
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Expand Up @@ -146,5 +146,24 @@ If you want to perform "only download", run the below command:
python3 worldbank.py --mode=download
```

### Added golden files and increased the threshold with golden checks in validation_config.json.
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niveditasing marked this conversation as resolved.

The `GOLDENS_CHECK` validator confirms that the import includes a specific set of expected records. This is useful for verifying that critical StatVars, Places, or specific metadata combinations are consistently present in the output.

The validator compares the input data (usually from the stats data source) against one or more "golden" files (MCF or CSV).

If any combination of values in a golden file row is missing from the input, the validation fails. The missing golden rows are then listed in the validation report JSON.

If you want to get goldens, run the below command:
```bash
#goldens from output csv
python3 validator_goldens.py --validate_goldens_input=../../scripts/world_bank/wdi/output/WorldBank.csv --generate_goldens=golden_data/golden_observations.csv --goldens_must_include="ISO3166Alpha3:gs://unresolved_mcf/import_validation/top_100k_places.csv" --generate_goldens_property_sets="ISO3166Alpha3"
```

#goldens from summary reports
```bash
python3 validator_goldens.py --validate_goldens_input="summary_report.csv" --generate_goldens=golden_data/golden_summary_report.csv --generate_goldens_property_sets="StatVar|Units|MinDate|MeasurementMethods|observationPeriod"
```

We highly recommend the use of the import validation tool for this import which
you can find in https://github.com/datacommonsorg/tools/tree/master/import-validation-helper.
219 changes: 219 additions & 0 deletions scripts/world_bank/wdi/golden_data/golden_WorldBank.csv
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"ISO3166Alpha3","value"
"","{'ISO3166Alpha3': 'dcid:Earth'}"
"","{'ISO3166Alpha3': 'dcid:country/ABW'}"
"","{'ISO3166Alpha3': 'dcid:country/AFG'}"
"","{'ISO3166Alpha3': 'dcid:country/AGO'}"
"","{'ISO3166Alpha3': 'dcid:country/ALB'}"
"","{'ISO3166Alpha3': 'dcid:country/AND'}"
"","{'ISO3166Alpha3': 'dcid:country/ARE'}"
"","{'ISO3166Alpha3': 'dcid:country/ARG'}"
"","{'ISO3166Alpha3': 'dcid:country/ARM'}"
"","{'ISO3166Alpha3': 'dcid:country/ATG'}"
"","{'ISO3166Alpha3': 'dcid:country/AUS'}"
"","{'ISO3166Alpha3': 'dcid:country/AUT'}"
"","{'ISO3166Alpha3': 'dcid:country/AZE'}"
"","{'ISO3166Alpha3': 'dcid:country/BDI'}"
"","{'ISO3166Alpha3': 'dcid:country/BEL'}"
"","{'ISO3166Alpha3': 'dcid:country/BEN'}"
"","{'ISO3166Alpha3': 'dcid:country/BFA'}"
"","{'ISO3166Alpha3': 'dcid:country/BGD'}"
"","{'ISO3166Alpha3': 'dcid:country/BGR'}"
"","{'ISO3166Alpha3': 'dcid:country/BHR'}"
"","{'ISO3166Alpha3': 'dcid:country/BHS'}"
"","{'ISO3166Alpha3': 'dcid:country/BIH'}"
"","{'ISO3166Alpha3': 'dcid:country/BLR'}"
"","{'ISO3166Alpha3': 'dcid:country/BLZ'}"
"","{'ISO3166Alpha3': 'dcid:country/BMU'}"
"","{'ISO3166Alpha3': 'dcid:country/BOL'}"
"","{'ISO3166Alpha3': 'dcid:country/BRA'}"
"","{'ISO3166Alpha3': 'dcid:country/BRB'}"
"","{'ISO3166Alpha3': 'dcid:country/BRN'}"
"","{'ISO3166Alpha3': 'dcid:country/BTN'}"
"","{'ISO3166Alpha3': 'dcid:country/BWA'}"
"","{'ISO3166Alpha3': 'dcid:country/CAF'}"
"","{'ISO3166Alpha3': 'dcid:country/CAN'}"
"","{'ISO3166Alpha3': 'dcid:country/CHE'}"
"","{'ISO3166Alpha3': 'dcid:country/CHL'}"
"","{'ISO3166Alpha3': 'dcid:country/CHN'}"
"","{'ISO3166Alpha3': 'dcid:country/CIV'}"
"","{'ISO3166Alpha3': 'dcid:country/CMR'}"
"","{'ISO3166Alpha3': 'dcid:country/COD'}"
"","{'ISO3166Alpha3': 'dcid:country/COG'}"
"","{'ISO3166Alpha3': 'dcid:country/COL'}"
"","{'ISO3166Alpha3': 'dcid:country/COM'}"
"","{'ISO3166Alpha3': 'dcid:country/CPV'}"
"","{'ISO3166Alpha3': 'dcid:country/CRI'}"
"","{'ISO3166Alpha3': 'dcid:country/CUW'}"
"","{'ISO3166Alpha3': 'dcid:country/CYM'}"
"","{'ISO3166Alpha3': 'dcid:country/CYP'}"
"","{'ISO3166Alpha3': 'dcid:country/CZE'}"
"","{'ISO3166Alpha3': 'dcid:country/DEU'}"
"","{'ISO3166Alpha3': 'dcid:country/DJI'}"
"","{'ISO3166Alpha3': 'dcid:country/DMA'}"
"","{'ISO3166Alpha3': 'dcid:country/DNK'}"
"","{'ISO3166Alpha3': 'dcid:country/DOM'}"
"","{'ISO3166Alpha3': 'dcid:country/DZA'}"
"","{'ISO3166Alpha3': 'dcid:country/ECU'}"
"","{'ISO3166Alpha3': 'dcid:country/EGY'}"
"","{'ISO3166Alpha3': 'dcid:country/ERI'}"
"","{'ISO3166Alpha3': 'dcid:country/ESP'}"
"","{'ISO3166Alpha3': 'dcid:country/EST'}"
"","{'ISO3166Alpha3': 'dcid:country/ETH'}"
"","{'ISO3166Alpha3': 'dcid:country/FIN'}"
"","{'ISO3166Alpha3': 'dcid:country/FJI'}"
"","{'ISO3166Alpha3': 'dcid:country/FRA'}"
"","{'ISO3166Alpha3': 'dcid:country/FRO'}"
"","{'ISO3166Alpha3': 'dcid:country/FSM'}"
"","{'ISO3166Alpha3': 'dcid:country/GAB'}"
"","{'ISO3166Alpha3': 'dcid:country/GBR'}"
"","{'ISO3166Alpha3': 'dcid:country/GEO'}"
"","{'ISO3166Alpha3': 'dcid:country/GHA'}"
"","{'ISO3166Alpha3': 'dcid:country/GIN'}"
"","{'ISO3166Alpha3': 'dcid:country/GMB'}"
"","{'ISO3166Alpha3': 'dcid:country/GNB'}"
"","{'ISO3166Alpha3': 'dcid:country/GNQ'}"
"","{'ISO3166Alpha3': 'dcid:country/GRC'}"
"","{'ISO3166Alpha3': 'dcid:country/GRD'}"
"","{'ISO3166Alpha3': 'dcid:country/GTM'}"
"","{'ISO3166Alpha3': 'dcid:country/GUY'}"
"","{'ISO3166Alpha3': 'dcid:country/HKG'}"
"","{'ISO3166Alpha3': 'dcid:country/HND'}"
"","{'ISO3166Alpha3': 'dcid:country/HRV'}"
"","{'ISO3166Alpha3': 'dcid:country/HTI'}"
"","{'ISO3166Alpha3': 'dcid:country/HUN'}"
"","{'ISO3166Alpha3': 'dcid:country/IDN'}"
"","{'ISO3166Alpha3': 'dcid:country/IND'}"
"","{'ISO3166Alpha3': 'dcid:country/IRL'}"
"","{'ISO3166Alpha3': 'dcid:country/IRN'}"
"","{'ISO3166Alpha3': 'dcid:country/IRQ'}"
"","{'ISO3166Alpha3': 'dcid:country/ISL'}"
"","{'ISO3166Alpha3': 'dcid:country/ISR'}"
"","{'ISO3166Alpha3': 'dcid:country/ITA'}"
"","{'ISO3166Alpha3': 'dcid:country/JAM'}"
"","{'ISO3166Alpha3': 'dcid:country/JOR'}"
"","{'ISO3166Alpha3': 'dcid:country/JPN'}"
"","{'ISO3166Alpha3': 'dcid:country/KAZ'}"
"","{'ISO3166Alpha3': 'dcid:country/KEN'}"
"","{'ISO3166Alpha3': 'dcid:country/KGZ'}"
"","{'ISO3166Alpha3': 'dcid:country/KHM'}"
"","{'ISO3166Alpha3': 'dcid:country/KIR'}"
"","{'ISO3166Alpha3': 'dcid:country/KNA'}"
"","{'ISO3166Alpha3': 'dcid:country/KOR'}"
"","{'ISO3166Alpha3': 'dcid:country/KWT'}"
"","{'ISO3166Alpha3': 'dcid:country/LAO'}"
"","{'ISO3166Alpha3': 'dcid:country/LBN'}"
"","{'ISO3166Alpha3': 'dcid:country/LBR'}"
"","{'ISO3166Alpha3': 'dcid:country/LBY'}"
"","{'ISO3166Alpha3': 'dcid:country/LCA'}"
"","{'ISO3166Alpha3': 'dcid:country/LKA'}"
"","{'ISO3166Alpha3': 'dcid:country/LSO'}"
"","{'ISO3166Alpha3': 'dcid:country/LTU'}"
"","{'ISO3166Alpha3': 'dcid:country/LUX'}"
"","{'ISO3166Alpha3': 'dcid:country/LVA'}"
"","{'ISO3166Alpha3': 'dcid:country/MAC'}"
"","{'ISO3166Alpha3': 'dcid:country/MAR'}"
"","{'ISO3166Alpha3': 'dcid:country/MDA'}"
"","{'ISO3166Alpha3': 'dcid:country/MDG'}"
"","{'ISO3166Alpha3': 'dcid:country/MDV'}"
"","{'ISO3166Alpha3': 'dcid:country/MEX'}"
"","{'ISO3166Alpha3': 'dcid:country/MHL'}"
"","{'ISO3166Alpha3': 'dcid:country/MKD'}"
"","{'ISO3166Alpha3': 'dcid:country/MLI'}"
"","{'ISO3166Alpha3': 'dcid:country/MLT'}"
"","{'ISO3166Alpha3': 'dcid:country/MMR'}"
"","{'ISO3166Alpha3': 'dcid:country/MNE'}"
"","{'ISO3166Alpha3': 'dcid:country/MNG'}"
"","{'ISO3166Alpha3': 'dcid:country/MOZ'}"
"","{'ISO3166Alpha3': 'dcid:country/MRT'}"
"","{'ISO3166Alpha3': 'dcid:country/MUS'}"
"","{'ISO3166Alpha3': 'dcid:country/MWI'}"
"","{'ISO3166Alpha3': 'dcid:country/MYS'}"
"","{'ISO3166Alpha3': 'dcid:country/NAM'}"
"","{'ISO3166Alpha3': 'dcid:country/NCL'}"
"","{'ISO3166Alpha3': 'dcid:country/NER'}"
"","{'ISO3166Alpha3': 'dcid:country/NGA'}"
"","{'ISO3166Alpha3': 'dcid:country/NIC'}"
"","{'ISO3166Alpha3': 'dcid:country/NLD'}"
"","{'ISO3166Alpha3': 'dcid:country/NOR'}"
"","{'ISO3166Alpha3': 'dcid:country/NPL'}"
"","{'ISO3166Alpha3': 'dcid:country/NRU'}"
"","{'ISO3166Alpha3': 'dcid:country/NZL'}"
"","{'ISO3166Alpha3': 'dcid:country/OMN'}"
"","{'ISO3166Alpha3': 'dcid:country/PAK'}"
"","{'ISO3166Alpha3': 'dcid:country/PAN'}"
"","{'ISO3166Alpha3': 'dcid:country/PER'}"
"","{'ISO3166Alpha3': 'dcid:country/PHL'}"
"","{'ISO3166Alpha3': 'dcid:country/PLW'}"
"","{'ISO3166Alpha3': 'dcid:country/PNG'}"
"","{'ISO3166Alpha3': 'dcid:country/POL'}"
"","{'ISO3166Alpha3': 'dcid:country/PRT'}"
"","{'ISO3166Alpha3': 'dcid:country/PRY'}"
"","{'ISO3166Alpha3': 'dcid:country/PSE'}"
"","{'ISO3166Alpha3': 'dcid:country/PYF'}"
"","{'ISO3166Alpha3': 'dcid:country/QAT'}"
"","{'ISO3166Alpha3': 'dcid:country/ROU'}"
"","{'ISO3166Alpha3': 'dcid:country/RUS'}"
"","{'ISO3166Alpha3': 'dcid:country/RWA'}"
"","{'ISO3166Alpha3': 'dcid:country/SAU'}"
"","{'ISO3166Alpha3': 'dcid:country/SDN'}"
"","{'ISO3166Alpha3': 'dcid:country/SEN'}"
"","{'ISO3166Alpha3': 'dcid:country/SGP'}"
"","{'ISO3166Alpha3': 'dcid:country/SLB'}"
"","{'ISO3166Alpha3': 'dcid:country/SLE'}"
"","{'ISO3166Alpha3': 'dcid:country/SLV'}"
"","{'ISO3166Alpha3': 'dcid:country/SMR'}"
"","{'ISO3166Alpha3': 'dcid:country/SOM'}"
"","{'ISO3166Alpha3': 'dcid:country/SRB'}"
"","{'ISO3166Alpha3': 'dcid:country/SSD'}"
"","{'ISO3166Alpha3': 'dcid:country/STP'}"
"","{'ISO3166Alpha3': 'dcid:country/SUR'}"
"","{'ISO3166Alpha3': 'dcid:country/SVK'}"
"","{'ISO3166Alpha3': 'dcid:country/SVN'}"
"","{'ISO3166Alpha3': 'dcid:country/SWE'}"
"","{'ISO3166Alpha3': 'dcid:country/SWZ'}"
"","{'ISO3166Alpha3': 'dcid:country/SXM'}"
"","{'ISO3166Alpha3': 'dcid:country/SYC'}"
"","{'ISO3166Alpha3': 'dcid:country/SYR'}"
"","{'ISO3166Alpha3': 'dcid:country/TCA'}"
"","{'ISO3166Alpha3': 'dcid:country/TCD'}"
"","{'ISO3166Alpha3': 'dcid:country/TGO'}"
"","{'ISO3166Alpha3': 'dcid:country/THA'}"
"","{'ISO3166Alpha3': 'dcid:country/TJK'}"
"","{'ISO3166Alpha3': 'dcid:country/TKM'}"
"","{'ISO3166Alpha3': 'dcid:country/TLS'}"
"","{'ISO3166Alpha3': 'dcid:country/TON'}"
"","{'ISO3166Alpha3': 'dcid:country/TTO'}"
"","{'ISO3166Alpha3': 'dcid:country/TUN'}"
"","{'ISO3166Alpha3': 'dcid:country/TUR'}"
"","{'ISO3166Alpha3': 'dcid:country/TUV'}"
"","{'ISO3166Alpha3': 'dcid:country/TZA'}"
"","{'ISO3166Alpha3': 'dcid:country/UGA'}"
"","{'ISO3166Alpha3': 'dcid:country/UKR'}"
"","{'ISO3166Alpha3': 'dcid:country/URY'}"
"","{'ISO3166Alpha3': 'dcid:country/USA'}"
"","{'ISO3166Alpha3': 'dcid:country/UZB'}"
"","{'ISO3166Alpha3': 'dcid:country/VCT'}"
"","{'ISO3166Alpha3': 'dcid:country/VEN'}"
"","{'ISO3166Alpha3': 'dcid:country/VNM'}"
"","{'ISO3166Alpha3': 'dcid:country/VUT'}"
"","{'ISO3166Alpha3': 'dcid:country/WSM'}"
"","{'ISO3166Alpha3': 'dcid:country/XKS'}"
"","{'ISO3166Alpha3': 'dcid:country/YEM'}"
"","{'ISO3166Alpha3': 'dcid:country/ZAF'}"
"","{'ISO3166Alpha3': 'dcid:country/ZMB'}"
"","{'ISO3166Alpha3': 'dcid:country/ZWE'}"
"","{'ISO3166Alpha3': 'dcid:ChannelIslands'}"
"","{'ISO3166Alpha3': 'dcid:country/ASM'}"
"","{'ISO3166Alpha3': 'dcid:country/CUB'}"
"","{'ISO3166Alpha3': 'dcid:country/GIB'}"
"","{'ISO3166Alpha3': 'dcid:country/GRL'}"
"","{'ISO3166Alpha3': 'dcid:country/GUM'}"
"","{'ISO3166Alpha3': 'dcid:country/MAF'}"
"","{'ISO3166Alpha3': 'dcid:country/PRI'}"
"","{'ISO3166Alpha3': 'dcid:country/PRK'}"
"","{'ISO3166Alpha3': 'dcid:country/VGB'}"
"","{'ISO3166Alpha3': 'dcid:country/VIR'}"
"","{'ISO3166Alpha3': 'dcid:country/IMN'}"
"","{'ISO3166Alpha3': 'dcid:country/LIE'}"
"","{'ISO3166Alpha3': 'dcid:country/MNP'}"
"","{'ISO3166Alpha3': 'dcid:country/MCO'}"
80 changes: 80 additions & 0 deletions scripts/world_bank/wdi/golden_data/golden_summary_report.csv
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"StatVar","MinDate","Units","MeasurementMethods","observationPeriods"
"Count_Death_IntentionalSelfHarm_Male_AsFractionOf_Count_Person_Male","2000","[Per100000Males]","[]","[P1Y]"
"Amount_EconomicActivity_GrossNationalIncome_PurchasingPowerParity","1990","[InternationalDollar]","[]","[P1Y]"
"Count_Person_Upto4Years_Wasting_AsFractionOf_Count_Person_Upto4Years","1983","[Percent]","[JointChildMalnutritionEstimate]","[P1Y]"
"Count_Person_25OrMoreYears_DoctorateDegree_AsFractionOf_Count_Person_25OrMoreYears","1994","[]","[]","[P1Y]"
"Amount_Emissions_CarbonDioxide_PerCapita","1970","[MetricTon]","[]","[P1Y]"
"Count_Person_25OrMoreYears_Male_TertiaryEducation_AsFractionOf_Count_Person_25OrMoreYears_Male","1970","[]","[]","[P1Y]"
"LifeExpectancy_Person_Female","1960","[Year]","[]","[P1Y]"
"Count_Person_25OrMoreYears_Male_DoctorateDegree_AsFractionOf_Count_Person_25OrMoreYears_Male","1994","[]","[]","[P1Y]"
"Count_Death_0Years_Female_AsFractionOf_Count_BirthEvent_LiveBirth_Female","1960","[Per1000FemaleLiveBirths]","[UnitedNationsIGMEEstimate]","[P1Y]"
"Count_CriminalActivities_MurderAndNonNegligentManslaughter_AsFractionOf_Count_Person","1990","[Per100000Persons]","[]","[P1Y]"
"Amount_EconomicActivity_ExpenditureActivity_HealthcareExpenditure_AsFractionOf_Count_Person","2000","[InternationalDollar, USDollar]","[]","[P1Y]"
"Amount_EconomicActivity_ExpenditureActivity_EducationExpenditure_Government_AsFractionOf_Amount_EconomicActivity_ExpenditureActivity_Government","1980","[Percent]","[]","[P1Y]"
"Count_Person_25OrMoreYears_Male_BachelorsDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears_Male","1970","[]","[]","[P1Y]"
"FertilityRate_Person_Female","1960","[]","[]","[]"
"Count_Person_Rural","1960","[]","[WorldBankEstimate]","[P1Y]"
"Count_Person_25OrMoreYears_Female_TertiaryEducation_AsFractionOf_Count_Person_25OrMoreYears_Female","1970","[]","[]","[P1Y]"
"Count_Person_Urban","1960","[]","[WorldBankEstimate]","[P1Y]"
"Count_Person_Upto4Years_Overweight_AsFractionOf_Count_Person_Upto4Years","1983","[]","[]","[P1Y]"
"LifeExpectancy_Person_Male","1960","[Year]","[]","[P1Y]"
"Count_BirthEvent_LiveBirth_AsFractionOf_Count_Person","1960","[Per1000Persons]","[]","[P1Y]"
"MortalityRate_Person_Upto4Years_AsFractionOf_Count_BirthEvent_LiveBirth","1960","[Per1000LiveBirths]","[]","[P1Y]"
"Count_Person","1960","[]","[]","[P1Y]"
"Count_Person_7To14Years_Male_Employed_AsFractionOf_Count_Person_7To14Years_Male","1994","[Percent]","[]","[P1Y]"
"Count_Person_Upto4Years_Male_Wasting_AsFractionOf_Count_Person_Upto4Years_Male","1986","[Percent]","[JointChildMalnutritionEstimate]","[P1Y]"
"Amount_EconomicActivity_ExpenditureActivity_EducationExpenditure_Government_AsFractionOf_Amount_EconomicActivity_GrossDomesticProduction_Nominal","1970","[Percent]","[]","[P1Y]"
"Count_Person_25OrMoreYears_BachelorsDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears","1970","[]","[]","[P1Y]"
"Count_Person_15OrMoreYears_Female_Smoking_AsFractionOf_Count_Person_15OrMoreYears_Female","2000","[]","[AgeAdjustedPrevalence]","[P1Y]"
"Count_Person_15OrMoreYears_Smoking_AsFractionOf_Count_Person_15OrMoreYears","2000","[]","[AgeAdjustedPrevalence]","[P1Y]"
"Amount_EconomicActivity_GrossNationalIncome_PurchasingPowerParity_PerCapita","1990","[InternationalDollar]","[]","[P1Y]"
"Count_Person_Upto4Years_Male_Overweight_AsFractionOf_Count_Person_Upto4Years_Male","1986","[]","[]","[P1Y]"
"Count_Death_0Years","1960","[]","[UnitedNationsIGMEEstimate]","[P1Y]"
"Amount_EconomicActivity_ExpenditureActivity_TertiaryEducationExpenditure_Government_AsFractionOf_Amount_EconomicActivity_ExpenditureActivity_EducationExpenditure_Government","1970","[]","[]","[P1Y]"
"Count_Person_Upto4Years_Male_SevereWasting_AsFractionOf_Count_Person_Upto4Years_Male","1986","[Percent]","[JointChildMalnutritionEstimate]","[P1Y]"
"Amount_Consumption_Electricity_PerCapita","1990","[KilowattHour]","[]","[P1Y]"
"Count_Death_0Years_Male_AsFractionOf_Count_BirthEvent_LiveBirth_Male","1960","[Per1000MaleLiveBirths]","[UnitedNationsIGMEEstimate]","[P1Y]"
"Amount_Consumption_Energy_PerCapita","1990","[KilogramOfOilEquivalent]","[]","[P1Y]"
"Count_Death_IntentionalSelfHarm_Female_AsFractionOf_Count_Person_Female","2000","[Per100000Females]","[]","[P1Y]"
"Count_Person_15OrMoreYears_Male_Smoking_AsFractionOf_Count_Person_15OrMoreYears_Male","2000","[]","[AgeAdjustedPrevalence]","[P1Y]"
"Count_CriminalActivities_MurderAndNonNegligentManslaughter_Male_AsFractionOf_Count_Person_Male","1990","[Per100000Males]","[]","[P1Y]"
"Amount_Remittance_InwardRemittance_AsFractionOf_Amount_EconomicActivity_GrossDomesticProduction_Nominal","1970","[Percent]","[WorldBankEstimate]","[P1Y]"
"Count_Person_15To64Years_InLaborForce_AsFractionOf_Count_Person_15To64Years","1990","[]","[]","[P1Y]"
"Count_Person_7To14Years_Employed_AsFractionOf_Count_Person_7To14Years","1994","[Percent]","[]","[P1Y]"
"GiniIndex_EconomicActivity","1963","[]","[WorldBankEstimate]","[P1Y]"
"Count_Person_25OrMoreYears_Female_MastersDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears_Female","1990","[]","[]","[P1Y]"
"Count_Person_25OrMoreYears_MastersDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears","1990","[]","[]","[P1Y]"
"Count_CriminalActivities_MurderAndNonNegligentManslaughter_Female_AsFractionOf_Count_Person_Female","1990","[Per100000Females]","[]","[P1Y]"
"Count_Person_15To64Years_Female_InLaborForce_AsFractionOf_Count_Person_15To64Years_Female","1990","[]","[]","[P1Y]"
"Amount_Stock_AsFractionOf_Amount_EconomicActivity_GrossDomesticProduction_Nominal","1975","[Percent]","[]","[P1Y]"
"Count_Person_25OrMoreYears_Female_DoctorateDegree_AsFractionOf_Count_Person_25OrMoreYears_Female","1994","[]","[]","[P1Y]"
"GrowthRate_Amount_EconomicActivity_GrossDomesticProduction","1961","[]","[]","[P1Y]"
"Count_Death_AsAFractionOfCount_Person","1960","[Per1000Persons]","[WorldBankWeightedAverage]","[P1Y]"
"Amount_EconomicActivity_GrossDomesticProduction_Nominal","1960","[USDollar]","[]","[P1Y]"
"Count_Person_15To64Years_Male_InLaborForce_AsFractionOf_Count_Person_15To64Years_Male","1990","[]","[]","[P1Y]"
"Amount_Remittance_InwardRemittance","1970","[USDollar]","[WorldBankEstimate]","[P1Y]"
"Count_Person_Upto4Years_SevereWasting_AsFractionOf_Count_Person_Upto4Years","1983","[Percent]","[JointChildMalnutritionEstimate]","[P1Y]"
"Count_Person_25OrMoreYears_Female_BachelorsDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears_Female","1970","[]","[]","[P1Y]"
"Count_Person_7To14Years_Female_Employed_AsFractionOf_Count_Person_7To14Years_Female","1994","[Percent]","[]","[P1Y]"
"Count_Person_25OrMoreYears_Male_MastersDegreeOrHigher_AsFractionOf_Count_Person_25OrMoreYears_Male","1990","[]","[]","[P1Y]"
"Amount_EconomicActivity_GrossDomesticProduction_Nominal_PerCapita","1960","[USDollar]","[]","[P1Y]"
"Amount_Consumption_Alcohol_15OrMoreYears_AsFractionOf_Count_Person_15OrMoreYears","2000","[Liter]","[WorldHealthOrganizationEstimates]","[P1Y]"
"Count_Person_15OrMoreYears_InLaborForce_Female_AsFractionOf_Count_Person_InLaborForce","1990","[]","[]","[P1Y]"
"Count_Person_ResidingLessThan5MetersAboveSeaLevel_AsFractionOf_Count_Person","1990","[]","[]","[P1Y]"
"Count_Product_MobileCellularSubscription_AsFractionOf_Count_Person","1960","[]","[]","[P1Y]"
"Count_Person_InLaborForce","1990","[]","[InternationalLaborOrganization]","[P1Y]"
"Count_Death_IntentionalSelfHarm_AsFractionOf_Count_Person","2000","[Per100000Persons]","[]","[P1Y]"
"Count_Death_0Years_AsFractionOf_Count_BirthEvent_LiveBirth","1960","[Per1000LiveBirths]","[UnitedNationsIGMEEstimate]","[P1Y]"
"Count_Person_Upto4Years_Female_Wasting_AsFractionOf_Count_Person_Upto4Years_Female","1986","[Percent]","[JointChildMalnutritionEstimate]","[P1Y]"
"Amount_Remittance_OutwardRemittance","1970","[USDollar]","[WorldBankEstimate]","[P1Y]"
"Count_Person_Upto4Years_Female_Overweight_AsFractionOf_Count_Person_Upto4Years_Female","1986","[]","[]","[P1Y]"
"Count_Person_IsInternetUser_PerCapita","1990","[]","[]","[P1Y]"
"Amount_Production_ElectricityFromNuclearSources_AsFractionOf_Amount_Production_Energy","1990","[]","[]","[P1Y]"
"Count_Person_Upto4Years_Female_SevereWasting_AsFractionOf_Count_Person_Upto4Years_Female","1986","[Percent]","[JointChildMalnutritionEstimate]","[P1Y]"
"Count_Person_25OrMoreYears_TertiaryEducation_AsFractionOf_Count_Person_25OrMoreYears","1970","[]","[]","[P1Y]"
"Amount_Production_ElectricityFromOilGasOrCoalSources_AsFractionOf_Amount_Production_Energy","1990","[]","[]","[P1Y]"
"GrowthRate_Count_Person","1961","[]","[]","[P1Y]"
"Amount_Consumption_RenewableEnergy_AsFractionOf_Amount_Consumption_Energy","1990","[]","[]","[P1Y]"
"Amount_Stock","1975","[USDollar]","[]","[P1Y]"
"LifeExpectancy_Person","1960","[Year]","[]","[]"
"Count_Person_20To79Years_Diabetes_AsFractionOf_Count_Person_20To79Years","2000","[]","[]","[P1Y]"
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