[DP_LIVE] OECD Data Live dataset

Name: OECD Data Live dataset
Creator: DBnomics

Updated on DBnomics on January 11, 2024 (1:19 PM).

[LOCATION] Country

[AFG] Afghanistan
[AGO] Angola
[ALB] Albania
[ARE] United Arab Emirates
[ARG] Argentina
[ARM] Armenia
[AUS] Australia
[AUT] Austria
[AZE] Azerbaijan
[BDI] Burundi
[BEL] Belgium
[BEN] Benin
[BFA] Burkina Faso
[BGD] Bangladesh
[BGR] Bulgaria
[BHR] Bahrain
[BIH] Bosnia and Herzegovina
[BLR] Belarus
[BOL] Bolivia
[BRA] Brazil
[BRICS] BRICS
[BRN] Brunei Darussalam
[BTN] Bhutan
[BWA] Botswana
[CAF] Central African Republic
[CAN] Canada
[CHE] Switzerland
[CHL] Chile
[CHN] China (People's Republic of)
[CIV] Côte d'Ivoire
[CMR] Cameroon
[COD] Democratic Republic of the Congo
[COG] Congo
[COL] Colombia
[CRI] Costa Rica
[CUB] Cuba
[CYP] Cyprus
[CZE] Czechia
[DAC] DAC Countries
[DAE] Dynamic Asian Economies
[DEU] Germany
[DEW] Former Federal Republic of Germany
[DNK] Denmark
[DOM] Dominican Republic
[DZA] Algeria
[EA] Euro area
[EA17] Euro area (17 countries)
[EA18] Euro area (18 countries)
[EA19] Euro area (19 countries)
[ECU] Ecuador
[EGY] Egypt
[ERI] Eritrea
[ESP] Spain
[EST] Estonia
[ETH] Ethiopia
[EU] European Union
[EU27] European Union (27 countries)
[EU27_2020] European Union – 27 countries (from 01/02/2020)
[EU28] European Union (28 countries)
[FIN] Finland
[FJI] Fiji
[FRA] France
[G-20] G20
[G-7] G7
[G20] G20
[G7M] G7
[GAB] Gabon
[GBR] United Kingdom
[GEO] Georgia
[GHA] Ghana
[GIN] Guinea
[GMB] Gambia
[GNB] Guinea-Bissau
[GNQ] Equatorial Guinea
[GRC] Greece
[GTM] Guatemala
[HKG] Hong Kong, China
[HND] Honduras
[HRV] Croatia
[HTI] Haiti
[HUN] Hungary
[IDN] Indonesia
[IND] India
[IRL] Ireland
[IRN] Iran
[IRQ] Iraq
[ISL] Iceland
[ISR] Israel
[ITA] Italy
[JAM] Jamaica
[JOR] Jordan
[JPN] Japan
[KAZ] Kazakhstan
[KEN] Kenya
[KGZ] Kyrgyzstan
[KHM] Cambodia
[KOR] Korea
[KWT] Kuwait
[LAO] Lao People's Democratic Republic
[LBN] Lebanon
[LBR] Liberia
[LBY] Libya
[LIE] Liechtenstein
[LKA] Sri Lanka
[LSO] Lesotho
[LTU] Lithuania
[LUX] Luxembourg
[LVA] Latvia
[MAC] Macau, China
[MAR] Morocco
[MDA] Moldova
[MDG] Madagascar
[MEX] Mexico
[MKD] North Macedonia
[MLI] Mali
[MLT] Malta
[MMR] Myanmar
[MNE] Montenegro
[MNG] Mongolia
[MOZ] Mozambique
[MRT] Mauritania
[MUS] Mauritius
[MWI] Malawi
[MYS] Malaysia
[NAM] Namibia
[NER] Niger
[NGA] Nigeria
[NIC] Nicaragua
[NLD] Netherlands
[NMEC] Non-OECD Economies
[NOR] Norway
[NPL] Nepal
[NZL] New Zealand
[OAVG] OECD - Average
[OECD] OECD - Total
[OECDE] OECD - Europe
[OEU] OECD - Europe
[OIL] Oil Producers
[OMN] Oman
[PAK] Pakistan
[PAN] Panama
[PER] Peru
[PHL] Philippines
[PNG] Papua New Guinea
[POL] Poland
[PRK] Democratic People's Republic of Korea
[PRT] Portugal
[PRY] Paraguay
[PSE] Palestinian Authority or West Bank and Gaza Strip
[QAT] Qatar
[ROU] Romania
[RUS] Russia
[RWA] Rwanda
[SAU] Saudi Arabia
[SDN] Sudan
[SEN] Senegal
[SGP] Singapore
[SLE] Sierra Leone
[SLV] El Salvador
[SOM] Somalia
[SRB] Serbia
[SVK] Slovak Republic
[SVN] Slovenia
[SWE] Sweden
[SWZ] Eswatini
[SYR] Syrian Arab Republic
[TCD] Chad
[TGO] Togo
[THA] Thailand
[TJK] Tajikistan
[TKM] Turkmenistan
[TLS] Timor-Leste
[TTO] Trinidad and Tobago
[TUN] Tunisia
[TUR] Türkiye
[TWN] Chinese Taipei
[TZA] Tanzania
[UGA] Uganda
[UKR] Ukraine
[URY] Uruguay
[USA] United States
[UZB] Uzbekistan
[VEN] Venezuela
[VNM] Viet Nam
[WLD] World
[YEM] Yemen
[ZAF] South Africa
[ZMB] Zambia
[ZWE] Zimbabwe

[INDICATOR] Indicator

[AGRLANDAREA] Agricultural land
[AGRPNPC] Producer protection
[AGRSUPP] Agricultural support
[AIREMISSION] Air and GHG emissions
[ALCOHOL] Alcohol consumption
[AQUAPROD] Aquaculture production
[AVWAGE] Average wages
[BANKLEVERAGE] Banking sector leverage
[BCI] Business confidence index (BCI)
[BENUNEMPPC] Benefits in unemployment, share of previous income
[BOP] Current account balance
[BOPFORECAST] Current account balance forecast
[BSNSBROADBAND] Business use of broadband
[BUILT_UP] Built-up area
[CCI] Consumer confidence index (CCI)
[CGEXP] Central government spending
[CHILDVACCIN] Child vaccination rates
[CHLDCARECOST] Net childcare costs
[CLI] Composite leading indicator (CLI)
[COMPEMPLOYEEACTY] Employee compensation by activity
[CONTTRANSP] Container transport
[CPA] Country Programmable Aid (CPA)
[CPI] Inflation (CPI)
[CPIFORECAST] Inflation forecast
[CROPYIELD] Crop production
[CSECTIONS] Caesarean sections
[CTEXAM] Computed tomography (CT) exams
[CTSCANNER] Computed tomography (CT) scanners
[DDEMANDFORECAST] Domestic demand forecast
[DEATHCANCER] Deaths from cancer
[DISCRIMFAMCODE] Discrimination in the family
[DISTNODA] Distribution of net ODA
[DOCCONSULT] Doctors' consultations
[EDUADULT] Adult education level
[EDUEXP] Education spending
[EDUEXPTRY] Spending on tertiary education
[EDUPRIVEXP] Private spending on education
[EDUPUBEXP] Public spending on education
[EDUTRY] Population with tertiary education
[ELDLYPOP] Elderly population
[ELECTRICITY] Electricity generation
[EMP] Employment rate
[EMPAGE] Employment rate by age group
[EMPEDU] Employment by education level
[EMPINDUS] Employment by activity
[EMPLOYEE] Employees by business size
[ENROLMENT] Enrolment rate in secondary and tertiary education
[ENROLMENT_ECE] Enrolment rate in early childhood education
[ENTERPRISE] Enterprises by business size
[EXCH] Exchange rates
[EXPBSNS] Exports by business size
[FAMPUBEXP] Family benefits public spending
[FBORNEMP] Foreign-born employment
[FBORNPARTICIP] Foreign-born participation rates
[FBORNPOP] Foreign-born population
[FBORNUNEMP] Foreign-born unemployment
[FDIFLOW] FDI flows
[FDIFLOW_IN_CTRY] Inward FDI flows by partner country
[FDIFLOW_IN_IND] Inward FDI flows by industry
[FDIFLOW_OUT_CTRY] Outward FDI flows by partner country
[FDIFLOW_OUT_IND] Outward FDI flows by industry
[FDIRESTR] FDI restrictiveness
[FDISTOCK] FDI stocks
[FDISTOCK_IN_CTRY] Inward FDI stocks by partner country
[FDISTOCK_IN_IND] Inward FDI stocks by industry
[FDISTOCK_OUT_CTRY] Outward FDI stocks by partner country
[FDISTOCK_OUT_IND] Outward FDI stocks by industry
[FDI_INC_PAY_CTRY] FDI income payments by partner country
[FDI_INC_PAY_IND] FDI income payments by industry
[FDI_INC_REC_CTRY] FDI income receipts by partner country
[FDI_INC_REC_IND] FDI income receipts by industry
[FERTILITY] Fertility rates
[FINCORP] Financial corporations debt to equity ratio
[FINDISINCHLDCARE] Financial disincentive to enter employment with childcare costs
[FINDISINWKHR] Financial disincentive to increase working hours
[FINDISINWORK] Financial disincentive to return to work
[FISHLAND] Fish landings
[FISHPATENT] Fisheries patents
[FIXWIRED] Fixed broadband subscriptions
[FLUVACCIN] Influenza vaccination rates
[FOODAID] Food aid
[FORESTRESOURCE] Forest resources
[FPOP] Foreign population
[FREIGHTTRANSP] Freight transport
[GDEXPRD] Gross domestic spending on R&D
[GDINSURANCEPREM] Gross direct insurance premiums
[GDP] Gross domestic product (GDP)
[GDPCAPCONTR] Labour productivity and utilisation
[GDPHRWKD] GDP per hour worked
[GDPHRWKDFORECAST] Labour productivity forecast
[GDPLTFORECAST] Real GDP long-term forecast
[GFCF] Investment (GFCF)
[GFCFASSET] Investment by asset
[GFCFFORECAST] Investment forecast
[GFCFSECTOR] Investment by sector
[GGCOST] Government production costs
[GGDEBT] General government debt
[GGEXP] General government spending
[GGEXPDEST] General government spending by destination
[GGNLEND] General government deficit
[GGREV] General government revenue
[GGRSV] Government reserves
[GGWEALTH] General government financial wealth
[GINSURANCEPREM] Gross insurance premiums
[GNI] Gross national income
[GOVRESEARCHER] Government researchers
[GPENSION] Gross pension replacement rates
[GPENSIONWEALTH] Gross pension wealth
[GRADRATE] Secondary graduation rate
[GRADRATEFIELD] Tertiary graduates by field
[GRADRATETRY] Tertiary graduation rate
[GRANT] Grants by private agencies and NGOs
[GVCPARTICIP] Import content of exports
[HEALTHEXP] Health spending
[HHBROADHBAND] Households with broadband access
[HHDEBT] Household debt
[HHDI] Household disposable income
[HHEXP] Household spending
[HHFA] Household financial assets
[HHFT] Household financial transactions
[HHSAV] Household savings
[HHSAVFORECAST] Household savings forecast
[HHWEALTH] Household net worth
[HOMECOMP] Access to computers from home
[HOSPITALBED] Hospital beds
[HOSPITALDISCHARGE] Hospital discharge rates
[HOSPITALSTAY] Length of hospital stay
[HOUSECOST] Housing prices
[HRWKD] Hours worked
[HUR] Unemployment rate
[ICTEMP] ICT employment
[ICTGOODSEXP] ICT goods exports
[ICTINVST] ICT investment
[ICTVA] ICT value added
[IMMIGINFLOW] Permanent immigrant inflows
[IMPBSNS] Imports by business size
[INCOMEINEQ] Income inequality
[INDPROD] Industrial production
[INFANTMORTALITY] Infant mortality rates
[INFRAINVEST] Infrastructure investment
[INFRAMAINT] Infrastructure maintenance
[INSURANCEEXP] Insurance spending
[INTERNET] Internet access
[INVENTORS] Inventors
[LABCOMP] Labour compensation per hour worked
[LANDCOVER] Land cover change
[LF] Labour force
[LFFORECAST] Labour force forecast
[LFPR] Labour force participation rate
[LIFEEXP] Life expectancy at birth
[LIFEEXP65] Life expectancy at 65
[LTINT] Long-term interest rates
[LTINTFORECAST] Long-term interest rates forecast
[LTUNEMP] Long-term unemployment rate
[M1] Narrow money (M1)
[M3] Broad money (M3)
[MAMMOMACHINE] Mammography machines
[MATCONSUMP] Material consumption
[MATPROD] Material productivity
[MEATCONSUMP] Meat consumption
[MEDICALDOC] Doctors
[MEDICALGRAD] Medical graduates
[MFP] Multifactor productivity
[MININCBEN] Adequacy of minimum income benefits
[MRIEXAM] Magnetic resonance imaging (MRI) exams
[MRIUNITS] Magnetic resonance imaging (MRI) units
[NATAREADIST] National area distribution
[NATINSURANCESH] National insurance market share
[NATPOPDIST] National population distribution
[NBORNEMP] Native-born employment
[NBORNPARTICIP] Native-born participation rates
[NBORNUNEMP] Native-born unemployment
[NEET] Youth not in employment, education or training (NEET)
[NLNBSECTOR] Net lending/borrowing by sector
[NNI] Net national income
[NODA] Net ODA
[NOMGDPFORECAST] Nominal GDP forecast
[NONFINCORP] Non-Financial corporations debt to surplus ratio
[NPENSION] Net pension replacement rates
[NPENSIONWEALTH] Net pension wealth
[NUCLEARPLANT] Nuclear power plants
[NURSE] Nurses
[NURSEGRAD] Nursing graduates
[NUTRBALANCE] Nutrient balance
[ODASECTOR] ODA by sector
[OILIMPPRICE] Crude oil import prices
[OILPROD] Crude oil production
[OLDAGEDEP] Old-age dependency ratio
[OOF] Other official flows (OOF)
[OVERCROWDING] Housing overcrowding
[OVEROBESE] Overweight or obese population
[PARTEMP] Part-time employment rate
[PASSCAR] Passenger car registrations
[PASSTRANSP] Passenger transport
[PATENT] Triadic patent families
[PATENT_ENV] Patents on environment technologies
[PENSIONASSET] Pension funds' assets
[PENSIONEXP] Pension spending
[PHARMAEXP] Pharmaceutical spending
[PISAMATH] Mathematics performance (PISA)
[PISAREAD] Reading performance (PISA)
[PISASCIENCE] Science performance (PISA)
[PLI] Price level indices
[POLLUTIONEFFECT] Air pollution effects
[POLLUTIONEXP] Air pollution exposure
[POP] Population
[POVERTY] Poverty rate
[POVERTYGAP] Poverty gap
[PPI] Producer price indices (PPI)
[PPP] Purchasing power parities (PPP)
[PRINCIPAL] School principals
[PRIVFLOW] Private flows
[PRIVPENSIONASSET] Private pension assets
[PROTECTEDAREA] Protected areas
[PRYENRGSUPPLY] Primary energy supply
[PUBEXPINCAPACITY] Public spending on incapacity
[PUBLMPEXP] Public spending on labour markets
[PUBUNEMPEXP] Public unemployment spending
[QGDP] Quarterly GDP
[RADIOEQT] Radiotherapy equipment
[REALGDPFORECAST] Real GDP forecast
[RENEWABLE] Renewable energy
[RESEARCHER] Researchers
[ROADACCID] Road accidents
[RUNBUSINESS] Running a business
[SAVING] Saving rate
[SELFEMP] Self-employment rate
[SELFEMPBYACTVTY] Self-employment by activity
[SELFEMPWEMP] Self-employed with employees
[SELFEMPWNOEMP] Self-employed without employees
[SELFEMPWTEREDU] Self-employed with tertiary education
[SHPRICE] Share prices
[SIGI] Social Institutions and Gender
[SMOKERS] Daily smokers
[SOCBENHH] Social benefits to households
[SOCEXP] Social spending
[SOCSUPPORT] Social support
[STARTBSNS] Starting a business
[STINT] Short-term interest rates
[STINTFORECAST] Short-term interest rates forecast
[STOCKFPOP] Stocks of foreign-born population in OECD countries
[STUDENT] Number of students
[STUDPERTEACHER] Students per teaching staff
[STUMOBILITY] International student mobility
[SUICIDE] Suicide rates
[TAXCORP] Tax on corporate profits
[TAXENV] Environmental tax
[TAXGOODSERV] Tax on goods and services
[TAXINCOME] Tax on personal income
[TAXPAYROLL] Tax on payroll
[TAXPROPERTY] Tax on property
[TAXREV] Tax revenue
[TAXSS] Social security contributions
[TAXWEDGE] Tax wedge
[TEACHER] Teachers by age
[TEACHERSALARY] Teachers' salaries
[TEACHINGHR] Teaching hours
[TEACHINGSTAFF] Teaching staff
[TEMPEMP] Temporary employment
[TERMTRADE] Terms of trade
[THREATENED] Threatened species
[TOTFLOW] Total official and private flows
[TOUR_EMP] Tourism employment
[TOUR_FLOW] Tourism flows
[TOUR_GDP] Tourism GDP
[TOUR_REC_EXP] Tourism receipts and spending
[TRADEGOOD] Trade in goods
[TRADEGOODSERV] Trade in goods and services
[TRADEGOODSERVFORECAST] Trade in goods and services forecast
[TRADESERV] Trade in services
[TRUSTGOV] Trust in government
[ULC] Unit labour costs
[UNEMP] Unemployment rate by age group
[UNEMPEDU] Unemployment rates by education level
[UNEMPFORECAST] Unemployment rate forecast
[URBANPOP] Urban population by city size
[VAACTY] Value added by activity
[VAFINCORP] Value-added in financial corporations
[VAGEXP] Domestic value added in gross exports
[VANONFINCORP] Value-added in non-financial corporations
[VIOLWOMEN] Violence against women
[WAGEGAP] Gender wage gap
[WAGELEVEL] Wage levels
[WASTEMUN] Municipal waste
[WASTEWATERTREAT] Wastewater treatment
[WATERABST] Water withdrawals
[WIRELESSWIRED] Mobile broadband subscriptions
[WKGPOP] Working age population
[WOMENPOLVOICE] Women in politics
[WOMENTEACHER] Women teachers
[WORKEXPOV] Working hours needed to exit poverty
[YNGPOP] Young population
[YOUNGSELF] Young self-employed
[YOUTHUNEMP] Youth unemployment rate
[YRLIFELOST] Potential years of life lost

[SUBJECT] Subject

[0_17] 0-17 year-olds
[0_9_EMPLOYEE] 0-9 employees
[10_19_EMPLOYED] 10-19 persons employed
[10_49] 10-49 employees
[10_49_EMPLOYEE] 10-49 employees
[15MORE] 15 year-olds or more
[15_19] 15-19 year-olds
[15_19_MEN] 15-19 year-old men
[15_19_WOMEN] 15-19 year-old women
[15_24] 15-24 year-olds
[15_29] 15-29 year-olds
[15_29_MEN] 15-29 year-old men
[15_29_WOMEN] 15-29 year-old women
[15_64] 15-64 year-olds
[18_65] 18-65 year-olds
[1INCOMEQ] First income quartile
[1YEAR] After 1 year
[1_9_EMPLOYED] 1-9 persons employed
[20_24] 20-24 year-olds
[20_24_MEN] 20-24 year-old men
[20_24_WOMEN] 20-24 year-old women
[20_29_MEN] 20-29 year-old men
[20_29_WOMEN] 20-29 year-old women
[20_49_EMPLOYED] 20-49 persons employed
[250MORE] 250 employees or more
[250MORE_EMPLOYED] 250 or more persons employed
[250MORE_EMPLOYEE] 250 or more employees
[25_34] 25-34 year-olds
[25_34_MEN] 25-34 year-old men
[25_34_WOMEN] 25-34 year-old women
[25_54] 25-54 year-olds
[25_64] 25-64 years olds
[25_74] 25-74 year-olds
[2INCOMEQ] Second income quartile
[2MTH] After 2 months
[2YEAR] After 2 years
[3INCOMEQ] Third income quartile
[4INCOMEQ] Fourth income quartile
[50_249] 50-249 employees
[50_249_EMPLOYED] 50-249 persons employed
[50_249_EMPLOYEE] 50-249 employees
[55_64] 55-64 year-olds
[55_64_MEN] 55-64 year-old men
[55_64_WOMEN] 55-64 year-old women
[5YEAR] After 5 years
[65MORE] 65 year-olds or more
[66MORE] 66 year-olds or more
[67PC_AVEWAGE] Earning 67% of average wage
[6MTH] After 6 months
[ACCIDENTCASUAL] Accidents involving casualties
[ACCOUNT_MEN] Financial account holders - men
[ACCOUNT_WOMEN] Financial account holders - women
[ACC_NIGHTS] Tourist accommodation nights
[ACUTE] Acute care
[ADCT] Advanced developing countries and territories
[AFRICA] Africa
[AGE_17] 17 year-olds
[AGE_18] 18 year-olds
[AGE_19] 19 year-olds
[AGE_3] 3 year-olds
[AGE_4] 4 year-olds
[AGE_5] 5 year-olds
[AGR] Agriculture
[AGRFORTFISH] Agriculture, forestry, fishing
[AIR] Air
[ALLLEVEL] All levels
[ALLSIZE] All sizes
[AMERICA] Americas
[AMPLITUD] Amplitude adjusted
[AQUACULT] Aquaculture
[ARTS] Arts
[ASIA] Asia
[ATTITUDEVIOL] Attitudes towards violence
[ATTWORKMUM] Attitudes towards working mothers
[AVEWAGE] Earning average wage
[BACHR_MEN] Bachelor's or equivalent level, men
[BACHR_WOMEN] Bachelor's or equivalent level, women
[BEEF] Beef and veal
[BIRD] Birds
[BOY] Boys
[BSNSSERV] Business services
[BUPPSRY] Below upper secondary
[BUSINESS] Business
[CABLE] Cable
[CAN] Canada
[CHILDBIRTH] Childbirth
[CHN] China
[CO] Carbon monoxide (CO)
[CO2] Carbon dioxide (CO2)
[COAST] Coastal
[COMPEMPLOYEE] Compensation of employees
[COMPULSORY] Government/compulsory
[CONSTR] Construction
[CORP] Corporate
[COUPL2CHLD] Couple, 2 children
[COUPLNOCHLD] Couple, no child
[COUPL_67PC_AVEWAGE] Couple, 67% of average wage
[COUPL_AVEWAGE] Couple, average wage
[COUPL_MINWAGE] Couple, minimum wage
[CROPLAND] Arable and permanent cropland
[CSE] Consumer support (CSE)
[CULTASSET] Biological resources
[CURDEP] Currency and deposits
[CURRENTMEN] Current state, men
[CURRENTWOMEN] Current state, women
[DEATH] Deaths
[DEBTRELIEF] Debt relief
[DEF] Defence
[DEU] Germany
[DISCRIMFAMCODE] Discrimination in the family
[DISTRIB] Distribution
[DOCTL_MEN] Doctoral or equivalent level, men
[DOCTL_WOMEN] Doctoral or equivalent level, women
[DOMESTIC] Manufacturing, domestic market
[DSL] DSL
[DTP] Diphtheria, tetanus, pertussis
[DWELLING] Dwellings
[EARLYCHILDEDU] Early childhood education
[EARLYCHILDEDU_15YREXP] Early childhood education, 15 years' experience
[EARLYCHILDEDU_START] Early childhood education, start
[EARLYCHILDEDU_TOP] Early childhood education, top of scale
[EARMARRIAGE] Child marriage
[ECOAFF] Economic affairs
[ECOINFRA] Economic infrastructure
[EDU] Education
[ELECGAS] Electricity, gas etc
[ELECTRICITY] Electricity
[EMP] By persons employed
[EMPINCENTIVE] Employment incentives
[EMPLOYEE] Employees
[ENGINEERING] Engineering
[ENRG] Energy
[ENVPROT] Environmental protection
[EUROPE] Europe
[EXCLUSOLIDBIO] Total excluding solid biofuels
[EXP] Exports
[EXPMRKTGRWTH] Export market growth
[EXPOS2PM25] Exposure to PM2.5
[FAM] Family
[FAMWORKR] Family accompanying workers
[FIBRE] Fibre/LAN
[FINAN] Financial
[FINANCEINS] Finance and insurance
[FINANSERV] Financial services
[FIXASSET] Intellectual property products
[FOOD] Food
[FRA] France
[FREEMOVS] Free movements
[FUTUREMEN] Future outlook, men
[FUTUREWOMEN] Future outlook, women
[GBR] United Kingdom
[GG] General government
[GHG] Greenhouse gas (GHG)
[GINI] Gini coefficient
[GIRL] Girls
[GOVTRANSF] Including government transfers
[GRALPUBSER] General public services
[GROSS] Gross
[GROSSADJ] Gross, incl. social transfers in kind
[GROSSINCREASE] Gross increase
[GSSE] General services support (GSSE)
[GSUSE] Goods and services used
[HEALTH] Health
[HH] Household
[HOUCOMM] Housing and community amenities
[HOUSING] Housing
[HPAY] High pay
[HRWKD] By hours worked
[HTELREST] Hotels and restaurants
[HUMAID] Humanitarian aid
[HUMNTRN] Humanitarian
[IMP] Imports
[INAMBULATORY] In ambulatory care providers
[INCASH] In cash
[INCENTIVE] Start-up incentives
[INDIVIDUAL] Individual
[INDUSCONSTR] Industry including construction
[INDUSENRG] Industry, including energy
[INDUSTRY] Industry
[INFCOMM] Information, communication
[INHOSPITAL] In hospitals
[INJURE] Injuries
[INKIND] In kind
[INLAND] Inland total
[INLANDWATER] Inland waterways
[INT-EXP] International spending
[INTER_ARR] International arrivals
[INTER_DEP] International departures
[INTMD] Intermediate regions
[INT_REC] International receipts
[INWARD] Inward
[ITA] Italy
[JOBCREATION] Direct job creation
[JPN] Japan
[LAWDOMVIOL] Laws on domestic violence
[LDC] Least developed countries
[LIFEINSRSV] Life insurance reserves
[LMETROP] Large metropolitan areas
[LMIC] Lower middle-income countries
[LOWSRY] Lower secondary
[LOWSRY_15YREXP] Lower secondary,15 years' experience
[LOWSRY_AVGAGE] Lower secondary, average age
[LOWSRY_START] Lower secondary, starting
[LOWSRY_TOP] Lower secondary, top of scale
[LOWSRY_WOMEN] Lower secondary, women
[LOWSRY_WORK] Lower secondary, work experience
[LPAY] Low pay
[LPRDTY] Labour productivity
[LUTILISATION] Labour utilisation
[MAIZE] Maize
[MAMMAL] Mammals
[MANUFACTURE_MEN] Manufacturing: Men
[MANUFACTURE_WOMEN] Manufacturing: Women
[MARINE] Marine
[MARINECAPT] Sea fishing
[MEASLES] Measles
[MEASURED] Measured
[MEDIA] Media
[MEN] Men
[METROP] Metropolitan areas
[MFG] Manufacturing
[MFSH] Mutual fund shares
[MIDDLE_AGED] Middle-aged
[MINEQUARR] Mining and quarrying
[MINISTERWOMEN] Women in cabinet ministerial positions
[MINWAGE] Earning minimum wage
[MKTPROC] Marketing and processing
[MONEY_MEN] Borrowing needed, men
[MONEY_WOMEN] Borrowing needed, women
[MORTALITY] Mortality
[MSTR_MEN] Master's or equivalent level, men
[MSTR_WOMEN] Master's or equivalent level, women
[MULTISEC] Multisector
[MURBAN] Medium-sized urban areas
[NET] Net
[NETBALANCE] Net balance
[NETOPERATING] Net operating surplus
[NITROGEN] Nitrogen
[NLD] National landings in domestic ports
[NLF] National landings in foreign ports
[NOMINAL] Nominal house prices
[NONNRGMAT] Non-energy materials
[NOX] Nitrogen oxides (NOx)
[NTRADE] Net trade
[NUCLEAR] Nuclear
[OCEANIA] Oceania
[ODAFLOWS] ODA flows basis
[ODAGRANT] ODA grant equivalent
[OLD] Old
[OOPEXP] Out-of-pocket
[OOWORKINCOME] Out-of-work income maintenance and support
[ORGANIC] Organic farmland
[OTH] Other
[OTHBUILDING] Other buildings and structures
[OTHLIC] Other low income countries
[OTHMACHINEQT] Information and communication technology
[OTHPRIVENT] Other private entities
[OTHSERVACT] Other services activities
[OUTWARD] Outward
[P50P10] Interdecile P50/P10
[P90P10] Interdecile P90/P10
[P90P50] Interdecile P90/P50
[PALMA] Palma ratio
[PASTURE] Permanent pasture
[PENSIONF] Pension funds
[PHOSPHORUS] Phosphorus
[PIG] Pork meat
[PLANT] Plants
[POL] Pollution
[POLREPRES] Women parliamentarians
[POULTRY] Poultry meat
[PRERET] Early retirement
[PREVVIOLLIFETIME] Prevalence in the lifetime
[PRICEINCOME] Price to income ratio
[PRICERENT] Price to rent ratio
[PRIMSECT] Primary sector
[PRIV] Private
[PROD] Production
[PROGASSIST] Programme assistance
[PROSCISUPP] Professional, scientific, support services
[PRY] Primary
[PRY15YREXP] Primary, 15 years' experience
[PRY_30_39] Primary, 30-39 years
[PRY_40_49] Primary, 40-49 years
[PRY_50_OVER] Primary, 50 years and over
[PRY_LT30] Primary, under 30 years
[PRY_NTRY] Primary to post-secondary non-tertiary
[PRY_START] Primary, starting
[PRY_TOP] Primary, top of scale
[PRY_TRY] Primary to tertiary
[PSE] Producer support (PSE)
[PSYCHIATRIC] Psychiatric care
[PUB] Public
[PUBADMINEDUSOC] Public administration, defence, education, health, social work
[PUBEMPSERV] Public employment services and administration
[PUBNET] Public net
[PUBORD] Public order and safety
[P_SRY_NTRY] Post-secondary non-tertiary
[P_SRY_NTRY_MEN] Post-secondary non-tertiary, men
[P_SRY_NTRY_WOMEN] Post-secondary non-tertiary, women
[RAIL] Rail
[REAL] Real house prices
[REALEST] Real estate
[REALRENTBSNS] Real estate, renting and business services
[RECULTREL] Recreation, culture and religion
[RENT] Rent price
[RES] Resources
[RESTRCIVLIB] Restricted civil liberties
[RESTRPHYSINTEG] Restricted physical integrity
[RESTRRESASSETS] Restricted access to resources and assets
[RETAILTRADE] Retail trade
[RICE] Rice
[ROAD] Road
[RURAL] Rural regions
[S80S20] S80/S20 quintile share
[SEA] Sea
[SECOTHSH] Securities other than shares
[SELFEMPLOYED] Self-employed
[SELFREPORTED] Self-reported
[SERV] Services
[SERVICE_MEN] Services : Men
[SERVICE_WOMEN] Services : Women
[SHEEP] Sheep meat
[SHOTHEQTY] Shares and other equity
[SNGL2CHLD] Single, 2 children
[SNGLNOCHLD] Single, no child
[SNGL_67PC_AVEWAGE] Single, 67% of average wage
[SOCIETY] Collective
[SOCINFRA] Social infrastructure
[SOCPROT] Social protection
[SOC_SCI] Social sciences
[SOX] Sulphur oxides (SOx)
[SOYBEAN] Soybean
[SRY] Secondary
[SRY_30_39] Secondary, 30-39 years
[SRY_40_49] Secondary, 40-49 years
[SRY_50_OVER] Secondary, 50 years and over
[SRY_LT30] Secondary, under 30 years
[SUPPEMP] Sheltered and supported employment and rehabilitation
[SURBAN] Small urban areas
[TELECOMMS] Telecommunications
[TERREST] Terrestrial
[TOT] Total
[TOTMAT] Total materials
[TOTNET] Total net
[TOT_FOODENRG] Total less food, less energy
[TOT_MKT] Manufacturing, total market
[TRAINING] Training
[TRANSG_CROPLAND] Transgenic cropland
[TRANSPCOM] Transport, storage and communications
[TRANSPEQT] Transport equipment
[TRANSPORT] Transport
[TREEFELLING] Tree fellings
[TRY] Tertiary
[TRY_30_39] Tertiary, 30-39 years
[TRY_40_49] Tertiary, 40-49 years
[TRY_50_OVER] Tertiary, 50 years and over
[TRY_INFLOW] Tertiary student inflow
[TRY_LT30] Tertiary, under 30 years
[TRY_MEN] Tertiary, men
[TRY_WOMEN] Tertiary, women
[TSE] Total support (TSE)
[UMIC] Upper middle-income countries
[UNALLOCATED] Unallocated
[UNEMP_COUPL2CHLD] Jobless couple, 2 children
[UNEMP_COUPLNOCHLD] Jobless couple, no child
[UNSPECIFIED] Unspecified
[UPPSRY] Upper secondary
[UPPSRY_15YREXP] Upper secondary,15 years' experience
[UPPSRY_MEN] Upper secondary, men
[UPPSRY_NTRY] Upper secondary, non-tertiary
[UPPSRY_START] Upper secondary, starting
[UPPSRY_TOP] Upper secondary, top of scale
[UPPSRY_WOMEN] Upper secondary, women
[URBAN] Urban regions
[USA] United States
[USEINTENSITY] Intensity of use
[VEGEGAIN1992] Vegetation gain since 1992
[VEGEGAIN2004] Vegetation gain since 2004
[VEGELOSS1992] Vegetation loss since 1992
[VEGELOSS2004] Vegetation loss since 2004
[VOC] Volatile organic compounds (VOC)
[VOLIDX] Volume index
[VOLUNTARY] Voluntary
[WATERSUPP] Water supply and waste management
[WHEAT] Wheat
[WHLEHTELTRANSP] Wholesale, retail trade, repairs, transport; accommodation, food services
[WHLETRADE] Wholesale trade
[WLD] World
[WOMEN] Women
[WORK] Work
[YOUNG] Young

[MEASURE] Measure

[1000000HAB] Per 1 000 000 inhabitants
[1000000VEH] Per 1 000 000 vehicles
[100000HAB] Per 100 000 inhabitants
[100000HAB_0_69] Per 100 000 inhabitants aged 0-69
[100000PER] Per 100 000 persons
[1000BIRTH] Per 1 000 live births
[1000EMPLOYED] Per 1 000 employed
[1000HAB] Per 1 000 inhabitants
[100HAB] Per 100 inhabitants
[AGRWTH] Annual growth rate (%)
[BLN_USD] Billion US dollars
[CAP] Per capita
[CHD_WOMAN] Children/woman
[COINVENTION] Co-inventions
[DAY] Days
[DEATH_1000BIRTH] Deaths/1 000 live births
[EUR] Euro
[GROSSABSTRACTIONPCTOTALRR] Gross abstractions as percentage of total renewable resources
[GWH] Gigawatt-hours
[HEADCOUNT] Headcount
[HR_67PC_AVEWAGE] Hours at 67% average wage
[HR_AVEWAGE] Hours at average wage
[HR_MINWAGE] Hours at minimum wage
[HR_WKD] Hours/worker
[HR_YEAR] Hours per year
[IDX] Index
[IDX2010] 2010=100
[IDX2015] 2015=100
[INEQ] 0 = complete equality; 1 = complete inequality
[INVENTION] Inventions
[KG_CAP] Kilograms/capita
[KG_CO2USD] Kilograms of CO2/USD
[KG_HA] Kilograms/hectare
[KTOE] Thousand toe
[LTRENDIDX] Long-term average = 100
[LT_CAP15] Litres/capita (aged 15 and over)
[M3CAP] m3/capita
[MEANSCORE] Mean score
[MICGRCUBM] Micrograms per cubic metre
[MLN_EUR] Million Euros
[MLN_M3] Million m3
[MLN_PER] Million persons
[MLN_PKM] Million passenger-kilometres
[MLN_SDR] SDR millions
[MLN_TOE] Million toe
[MLN_TONNE] Million tonnes
[MLN_TONNEKM] Million tonne-kilometres
[MLN_USD] Million US dollars
[MULTAGEARN] Multiple of annual gross earnings
[NATUSD] National currency units/US dollar
[NBR] Number
[OECDIDX] OECD=100
[PC] Percentage
[PC_25_64] % of 25-64 year-olds
[PC_AGE] % in same age group
[PC_AGRCONSUMP] % of agricultural consumption
[PC_AGRSUPP] % of total agricultural support
[PC_AVEWAGE] % of average wage
[PC_CHGPP] Percentage change, previous period
[PC_CHGPPCAP] Per capita, percentage change, previous period
[PC_CHGPY] Percentage change, same period previous year
[PC_CHILD] % of children
[PC_DEPEMP] % of dependent employment
[PC_DI] % of disposable income
[PC_EARN] % of earnings
[PC_EDUEXP] % of education spending
[PC_EMP] % of employment
[PC_ENRGGEN] % of total energy generation
[PC_FBORNLF] % of foreign-born labour force
[PC_FBORNPOP] % of foreign-born population
[PC_FDI] % of total FDI
[PC_GDP] % of GDP
[PC_GEXP] % of gross exports
[PC_GFARM] % of gross farm receipts
[PC_GFCF] % of GFCF
[PC_GNI] % of gross national income
[PC_GVA] % of gross value added
[PC_HEALTHXP] % of health spending
[PC_HH] % of all households
[PC_HHDI] % of household disposable income
[PC_HHFA] % of total financial assets
[PC_HI] % of household income
[PC_LANDAREA] % of total land area
[PC_LC] % of labour cost
[PC_LF] % of labour force
[PC_MDI] % of median disposable income
[PC_NATIONAL] % of national total
[PC_NBORNLF] % of native-born labour force
[PC_NBORNPOP] % of native-born population
[PC_NDI] % of net disposable income
[PC_NHHDI] % of household net disposable income
[PC_NVA] % of net value added
[PC_PA] % per annum
[PC_PISITIVEANS] % of positive answers
[PC_POP] % of population
[PC_POP15] % of population aged 15+
[PC_POP65] % of population aged 65+
[PC_PRERETEARN] % of pre-retirement earnings
[PC_PRINCIPAL] % of principals
[PC_PRYENRGSUPPLY] % of primary energy supply
[PC_PWI] % of previous in-work income
[PC_RESEARCHER] % of total researchers
[PC_SELFEMP] % of self-employed
[PC_SPECIES] % of known species
[PC_STUD_ENRL] % of students enrolled
[PC_TEACHER] % of teachers
[PC_TOTEMP] % of total employed
[PC_TOTINVENTORS] % of total inventors
[PC_TOT_TAX] % of taxation
[PC_UNEMP] % of unemployed
[PC_VA] % of value added
[PC_WATER] % of Exclusive Economic Zones
[PC_WKGPOP] % of working age population
[PC_YOUTHLF] % of youth labour force
[PER] Persons
[QGRWTH] Quarterly growth rate (%)
[RESTR] 0 = open; 1 = closed
[RT] Ratio
[SQM_CAP] Square metres per capita
[TFEU] Twenty Foot Equivalent Unit
[THND_HA] Thousand hectares
[THND_M3] Thousand m3
[THND_PER] Thousand persons
[THND_TONNE] Thousand tonnes
[THND_TONNECO2] Thousand tonnes CO2-eq
[THND_USD_CAP] Thousand US dollars/capita
[TOE_1000USD] Toe/1 000 US dollars
[TONNE] Tonnes
[TONNE_CAP] Tonnes/capita
[TONNE_HA] Tonnes/hectare
[USD] US dollars
[USD_BAR] US dollars/barrel
[USD_CAP] US dollars/capita
[USD_KG] US dollars/kilogram
[USD_STUDENT] US dollars/student
[YR] Years

[FREQUENCY] Frequency

[A] Annual
[M] Monthly
[Q] Quarterly

Search filters

Country [LOCATION] (189)

Indicator [INDICATOR] (295)

Subject [SUBJECT] (392)

Measure [MEASURE] (136)

Frequency [FREQUENCY] (3)

This dataset has 54,220 series:

Trim NA Values

Series code	2014	2019	2023	2004	1970	1971	1972	1973	1974	1975	1976	1977	1978	1979	1980	1981	1982	1983	1984	1985	1986	1987	1988	1989	1990	1991	1992	1993	1994	1995	1996	1997	1998	1999	2000	2001	2002	2003	2005	2006	2007	2008	2009	2010	2011	2012	2013	2015	2016	2017	2018	2020	2021
[AGO.DISCRIMFAMCODE.EARMARRIAGE.PC.A]	0.36	24.7	18.2	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[AGO.LANDCOVER.VEGEGAIN1992.PC.A]	NA	1.56	NA	1.23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[AGO.LANDCOVER.VEGEGAIN2004.PC.A]	NA	0.38	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[AGO.LANDCOVER.VEGELOSS1992.PC.A]	NA	1.57	NA	0.82	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[AGO.LANDCOVER.VEGELOSS2004.PC.A]	NA	0.8	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[AGO.MATCONSUMP.TOT.TONNE_CAP.A]	8.9824	4.3883	NA	3.7579	4.9919	5.0675	4.6118	4.4803	4.3157	4.2	3.2258	3.1157	2.6532	2.6784	2.7394	2.607	2.4633	2.3179	2.3612	2.2305	2.0192	2.211	2.5344	2.1116	2.0085	2.23	2.1989	2.1357	2.3102	2.8945	3.0352	3.2524	2.7868	2.7816	2.9617	3.1858	3.6423	3.6755	3.8465	4.2127	4.5476	4.267	6.0801	4.8984	5.1089	8.8829	9.5898	7.8427	7.2766	3.4819	4.0624	NA	NA
[AGO.MATPROD.NONNRGMAT.USD_KG.A]	0.84	1.47	NA	1.41	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2.85	2.48	2.29	1.74	1.57	1.47	1.52	1.4	1.66	1.65	1.54	1.43	1.36	1.35	1.52	1.51	1.52	1.75	1.17	1.47	1.42	0.84	0.78	0.94	0.95	1.96	1.58	NA	NA
[AGO.MATPROD.TOTMAT.USD_KG.A]	0.8318	1.3737	NA	1.3522	NA	NA	1.8522	1.8606	1.9785	1.8567	2.2844	2.0384	2.368	2.3628	2.282	2.213	2.2604	2.4153	2.4252	2.5647	2.8141	2.5824	2.3092	2.679	2.6223	2.3072	2.1328	1.6173	1.4675	1.3033	1.365	1.3217	1.5628	1.5491	1.4515	1.3607	1.3084	1.2905	1.4665	1.441	1.4675	1.676	1.1433	1.4336	1.3697	0.8235	0.7712	0.9275	0.9396	1.8922	1.546	NA	NA
[AGO.OILPROD.TOT.KTOE.A]	85338.8088	66442.8144	NA	50481.0337	NA	5841.1098	7205.1586	8325.1896	8720.3145	7954.5686	7722.8028	7210.2635	6604.8138	7351.1608	7583.9475	6515.9872	6546.6171	8984.7521	10289.5831	11669.9678	14185.6983	18076.7086	22737.5487	22765.1156	23826.9499	24992.9257	27691.4143	25370.6937	27685.2883	31008.6256	34252.3253	35886.9376	37145.8239	37626.7123	37598.1245	37234.6504	44969.7051	44651.1548	63622.2547	71973.9901	86690.6056	97302.823	92346.9154	89725.0014	82598.4594	87226.6278	87578.8709	90844.0115	86239.326	79002.4778	71577.4328	61704.4501	54447.0524
[AGO.PATENT_ENV.TOT.PC.A]	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	22.22	NA	NA	NA	NA	NA	NA

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Showing results 21 - 30 / 54,220