description:
Database documentation

The OECD Climate Actions and Policies Measurement Framework (CAPMF) is the most extensive internationally harmonised climate mitigation policy database to date. Developed under the International Programme for Action on Climate, the CAPMF tracks 130 policy variables, aggregated into 56 key climate actions and policies for the 1990-2022 period for OECD and OECD partner countries as well as the European Union as a block. The current edition of the database covers 49 countries.

For each policy, the CAPMF measures policy stringency, defined as the degree to which policies incentivise emissions reductions. The dataset provides the stringency values for all 130 policy variables as well as the average stringency values of the 56 aggregated climate policies for all countries and the entire time-period. It also calculates the average stringency and the number of adopted policies for sectors or policy areas (e.g. electricity, GHG emissions targets) and building block (e.g. sectoral policies, cross-sectoral policies, international policies), following the structure of the CAPMF as laid out in the related working paper. The structure of the CAPMF can be downloaded here.

In some cases the CAPMF also uses a different policy classification according to market-based instruments, non market-based instruments, and climate targets, governance and climate data (see here for a correspondence table).

To find out more about the International Programme for Action on Climate (IPAC), please visit the IPAC webpage.

CLIM_ACT_POL: Climate actions and policies

LEV1_CROSS_SEC: Cross-sectoral policies

LEV1_INT: International policies

LEV1_SEC: Sectoral policies

LEV2_CROSS_SEC_CG: Climate governance

LEV2_CROSS_SEC_FFPP: Fossil fuel production policies

LEV2_CROSS_SEC_GHGTAR: GHG emission targets

LEV2_CROSS_SEC_RDD: Public RD&D expenditure

LEV2_INT_C_COORD: International cooperation

LEV2_INT_C_FIN: International public finance

LEV2_INT_GHGREP: GHG emissions data and reporting

LEV2_SEC_B_MBI: Buildings - Market-based instruments

LEV2_SEC_B_NMBI: Buildings - Non market-based instruments

LEV2_SEC_E_MBI: Electricity - Market-based instruments

LEV2_SEC_E_NMBI: Electricity - Non market-based instruments

LEV2_SEC_I_MBI: Industry - Market-based instruments

LEV2_SEC_I_NMBI: Industry - Non market-based instruments

LEV2_SEC_T_MBI: Transport - Market-based instruments

LEV2_SEC_T_NMBI: Transport - Non market-based instruments

LEV3_AB: Climate advisory body

LEV3_AUCTION: Renewable energy auctions

LEV3_BAN_PHOUT_COAL: Ban and phase out on the construction of coal-fired power plants

LEV3_BAN_PHOUT_EXTRAC: Bans and phase out on fossil fuel extraction

LEV3_BAN_PHOUT_HEAT: Ban and phase out of fossil fuel heating systems

LEV3_BAN_PHOUT_ICE: Ban and phase out of passengers cars with ICE

LEV3_BC: Building energy codes

LEV3_CARBONTAX_B: Carbon tax - Buildings

LEV3_CARBONTAX_E: Carbon Tax - Electricity

LEV3_CARBONTAX_I: Carbon Tax - Industry

LEV3_CARBONTAX_T: Carbon tax - Transport

LEV3_CONG_CHARG: Congestion charges

LEV3_EE_MANDATE: Energy efficiency mandates

LEV3_EMIS_STD: Air emission standards

LEV3_ETS_B: ETS - Buildings

LEV3_ETS_E: ETS - Electricity

LEV3_ETS_I: ETS - Industry

LEV3_ETS_T: ETS - Transport

LEV3_EVAL_BR: Evaluation of Biennial Reports and Biennial Update Reports

LEV3_EXCISETAX_B: Fossil fuels excise taxes - Buildings

LEV3_EXCISETAX_E: Fossil fuels excise taxes - Electricity

LEV3_EXCISETAX_I: Fossil fuels excise taxes - Industry

LEV3_EXCISETAX_T: Fossil fuels excise taxes - Transport

LEV3_EXP_RAIL: Share of rail on total surface transport public expenditure

LEV3_FFS_B: Fossil fuels subsidies - Buildings

LEV3_FFS_E: Fossil Fuel Subsidies -  Electricity

LEV3_FFS_I: Fossil Fuel Subsidies - Industry

LEV3_FFS_PRODUCER: Fossil Fuel Subsidies Producer Support

LEV3_FFS_T: Fossil fuels subsidies - Transport

LEV3_FIN_MECH_B: Financing mechanisms available - Buildings

LEV3_FIN_MECH_I: Financing mechanisms available - Industry

LEV3_FIT: Feed-In-Tariffs

LEV3_GHG_ACC: GHG emissions reporting and accounting

LEV3_INT_INIT: Participation in international climate initiatives

LEV3_LABEL_APPL: Mandatory energy labels for appliances

LEV3_PR_AV_MAR: Pricing of emissions from international aviation and maritime transport

LEV3_RDD_CCS: RD&D expenditure - Carbon Capture and Storage

LEV3_TREATY: Ratification of key international climate treaties

LEV4_AB_BUDGET: Independent climate advisory body - annual funding

LEV4_AB_COUNC_MEM: Independent climate advisory body - number of council's members

LEV4_AB_ESTABL_LAW: Independent climate advisory body - establishment by law

LEV4_AB_SECR_MEM: Independent climate advisory body - number of secretariat's members

LEV4_AUCTION_SOL_DUR: Renewable energy auctions for solar PV - duration

LEV4_AUCTION_SOL_PR: Renewable energy auctions for solar PV - price

LEV4_AUCTION_WIND_DUR: Renewable energy auctions for wind - duration

LEV4_AUCTION_WIND_PR: Renewable energy auctions for wind - price

LEV4_BAN_COAL_DATE: Ban on the construction of coal power plants - date

LEV4_BAN_COAL_STAT: Ban on the construction of coal power plants - legal status

LEV4_BAN_CREDIT_DATE: Banning governments' export credits for new unabated coal power plants - date

LEV4_BAN_CREDIT_STAT: Banning governments' export credits for new unabated coal power plants - legal status

LEV4_BAN_EXTRAC_STAT: Bans on fossil fuel extraction - legal status

LEV4_BAN_FF_ABROAD_DATE: Banning public finance for fossil fuel infrastructure abroad - date

LEV4_BAN_FF_ABROAD_STAT: Banning public finance for fossil fuel infrastructure abroad -legal status

LEV4_BAN_GAS_DATE: Ban of fossil-fuel heating systems, Gas - date

LEV4_BAN_GAS_STAT: Ban of fossil-fuel heating systems, Gas - legal status

LEV4_BAN_ICE_DATE: Ban on the sales of new vehicles with combustion engines - date

LEV4_BAN_ICE_STAT: Ban on the sales of new vehicles with combustion engines - legal status

LEV4_BAN_OIL_DATE: Ban of fossil-fuel heating systems, Oil - legal status

LEV4_BAN_OIL_STAT: Ban of fossil-fuel heating systems, Oil - date

LEV4_BC_NON_RES: Building energy codes - non-residential buildings

LEV4_BC_RES: Building energy codes - residential buildings

LEV4_EXCISETAX_B_C_COAL: Excise taxes on coal - commercial buildings

LEV4_EXCISETAX_B_C_DIESEL: Excise taxes on diesel - commercial buildings

LEV4_EXCISETAX_B_C_LPG: Excise taxes on LPG - commercial buildings

LEV4_EXCISETAX_B_C_NATGAS: Excise taxes on natural gas - commercial buildings

LEV4_EXCISETAX_B_R_COAL: Excise taxes on coal - residential buildings

LEV4_EXCISETAX_B_R_DIESEL: Excise taxes on diesel - residential buildings

LEV4_EXCISETAX_B_R_LPG: Excise taxes on LPG - residential buildings

LEV4_EXCISETAX_B_R_NATGAS: Excise taxes on natural gas - residential buildings

LEV4_EXCISETAX_E_NATGAS: Excise taxes on natural gas - Electricity

LEV4_FFS_B: Reform of Fossil Fuel Subsidies - Buildings

LEV4_FFS_E: Reform of Fossil Fuel Subsidies - Electricity

LEV4_FFS_I: Reform of Fossil Fuel Subsidies - Industrie

LEV4_FFS_T: Reform of Fossil Fuel Subsidies - Transport

LEV4_FIN_MECH_B_C: Financing mechanisms for energy efficiency - commercial buildings

LEV4_FIN_MECH_B_R: Financing mechanisms for energy efficiency - residential buildings

LEV4_FIN_MECH_I: Financing mechanisms for energy efficiency - Industry

LEV4_GHG_ACC_ANNEX: GHG emissions reporting and accounting - GHG inventories Annex I

LEV4_GHG_ACC_SEEA: Reporting of GHG emissions under SEEA Air emissions accounts

LEV4_LABEL_AC: Mandatory energy labels for appliances - Air Conditioner

LEV4_LABEL_CAR: Mandatory energy labels for passenger vehicles

LEV4_LABEL_FRE: Mandatory energy labels for appliances - Freezer

LEV4_LABEL_LIGHT: Mandatory energy labels for appliances - Lighting

LEV4_LABEL_REF: Mandatory energy labels for appliances - Refrigerator

LEV4_PHOUT_COAL_DATE: Phase out of existing coal power plants - date

LEV4_PHOUT_COAL_STAT: Phase out of existing coal power plants - legal status

LEV4_PHOUT_EXTRAC_DATE: Phase out of fossil fuel extraction - date

LEV4_PHOUT_EXTRAC_STAT: Phase out of fossil fuel extraction - legal status

LEV4_PHOUT_GAS_DATE: Phase out of fossil-fuel heating systems, Gas - date

LEV4_PHOUT_GAS_STAT: Phase out of fossil-fuel heating systems, Gas - legal status

LEV4_PHOUT_ICE_DATE: Phase out on the sales of new vehicles with combustion engines - date

LEV4_PHOUT_ICE_STAT: Phase out on the sales of new vehicles with combustion engines - legal status

LEV4_PHOUT_OIL_DATE: Phase out of fossil-fuel heating systems, Oil - date

LEV4_PHOUT_OIL_STAT: Phase out of fossil-fuel heating systems, Oil - legal status

LEV4_RDD_CCS: RD&D expenditure - Carbon Capture and Storage

LEV4_RECS: RPS with tradeable renewable energy certificates

LEV4_TREATY_KIGALI: Participation in international climate agreements - Kigali Amendment

LEV4_TREATY_KYOTO: Participation in international climate agreements - Kyoto Protocol

LEV4_TREATY_MONTREALAMEND: Participation in international climate agreements - Montreal Amendment

LEV4_TREATY_MONTREALPROT: Participation in international climate agreements - Montreal Protocol

LEV4_TREATY_PARIS: Participation in international climate agreements - Paris Agreement

LEV4_TREATY_UNFCCC: Participation in international climate agreements - UNFCCC convention

LEV4_UNFCCC_BR: Submission of Biennial Reports / Biennial Update Reports (BR/BUR)

LEV4_UNFCCC_LTLEDS: Submission of Long-term low emissions development strategies (LT-LEDS)

LEV4_UNFCCC_NDC: Submission of Nationally Determined Contribution

name: Climate actions and policies measurement framework


DECIMALS: Decimals

Zero

One

Ten

Eleven

Twelve

Thirteen

Fourteen

Fifteen

Two

Three

Four

Five

Six

Seven

Eight

Nine

description: Table I - This table reports variable totals for all sub-groups, obtained by aggregating sub-group variables according to their jurisdiction of tax residence (or country groups,depending on confidentiality). The tables includes three panels aggregating all sub-groups, sub-groups with positive profits and sub-groups with negative profits.

AGGREGATION_TYPE: Aggregation type

COUNTERPART_AREA: Counterpart area

EFFECTIVE_TAX_RATE: Effective tax rate grouped by

FREQ: Frequency of observation

MEASURE: Measure

PROFIT_GROUPING: Profit grouped by

REF_AREA: Reference area

STATISTICAL_OPERATION: Statistical operation

UNIT_MEASURE: Unit of measure

TOTAL: Aggregate totals by jurisdiction

TRMNE: Aggregate totals by tax rate of MNE groups

TRSUB: Aggregate totals by tax rate of MNE sub-groups

_Z: Not applicable

[A] America

A2: Northern America

A2XOECD: Non-OECD Northern America

A2_A3_X: Northern and Central America unspecified

A2_X: Northern America unspecified

A3: Central America

A3_X: Central America unspecified

A4: Caribbean

A4_X: Caribbean unspecified

A5: Central America and the Caribbean

A5M: Major five Asia economies

A5XOECD: Non-OECD Central America and Caribbean

A5_A7: South and Central America

A5_X: Central America and the Caribbean unspecified

A7: South America

A7XOECD: Non-OECD South America

A7_X: South America unspecified

A8: Latin America

A8_M: Main Latin American countries

A9: Latin America and the Caribbean

A9_X: Latin America and the Caribbean unspecified

ABW: Aruba

ACP: ACP

AES: Advanced economies

AFG: Afghanistan

AGO: Angola

AIA: Anguilla

ALA: Åland

ALB: Albania

AND: Andorra

ANNEX2: Annex II of the United Nations Framework Convention on Climate Change Parties

ANNEX2A2: Annex II of the United Nations Framework Convention on Climate Change North America Parties

ANNEX2E: Annex II of the United Nations Framework Convention on Climate Change Europe Parties

ANNEX2OS: Annex II of the United Nations Framework Convention on Climate Change Asia Oceania Parties

ANT_F: Former Netherlands Antilles

ANT_F_ABW: Former Netherlands Antilles and Aruba

APEC: APEC

ARE: United Arab Emirates

ARG: Argentina

ARM: Armenia

ASEAN: ASEAN

ASM: American Samoa

ATA: Antarctica

ATF: French Southern and Antarctic Lands

ATG: Antigua and Barbuda

AU: African Union

AUS: Australia

AUT: Austria

AXOECD: Non-OECD America

AXOECD_O: Other non-OECD America

AZE: Azerbaijan

A_O: Other America

A_X: America unspecified

BDI: Burundi

BEL: Belgium

BEL_LUX: Belgo-Luxembourg Economic Union

BEN: Benin

BES: Bonaire, Saba, Saint Eustatius

BFA: Burkina Faso

BGD: Bangladesh

BGR: Bulgaria

BHR: Bahrain

BHS: Bahamas

BIH: Bosnia and Herzegovina

BLM: Saint Barthélemy

BLR: Belarus

BLZ: Belize

BMU: Bermuda

BOL: Bolivia

BRA: Brazil

BRB: Barbados

BRN: Brunei Darussalam

BTN: Bhutan

BVT: Bouvet Island

BWA: Botswana

CAF: Central African Republic

CAN: Canada

CCK: Cocos (Keeling) Islands

CEEC: CEEC

CENSAD: Community of Sahel–Saharan States (CEN–SAD)

COMESA: Common Market for Eastern and Southern Africa (COMESA)

EA00_X: Euro area (evolving composition) unspecified

ECCAS: Economic Community of Central African States (ECCAS)

ECOWAS: Economic Community of West African States (ECOWAS)

EU00_X: European Union (evolving composition) unspecified

EU22OECD_2020: European Union (22 countries) in OECD (from 01/02/2020)

EU25_REP: European Union (25 countries) average country

EU27_2020: European Union (27 countries from 01/02/2020)

EU28XEU15: European Union 28 excluding European Union 15 countries

FSCAC: Fragile states and Conflict-affected countries

HICSXA9: High income countries (excluding Latin American and Caribbean countries)

IGAD: Intergovernmental Authority on Development (IGAD)

INCWB_X: Countries not classified by the World Bank

IPAC: International Programme for Action on Climate Parties

LDCWXF: World outside Africa, least developed countries

LLDCF: Africa, land locked developing countries

LLDCWXF: World outside Africa, landlocked developing countries

LMICWB: Lower-middle income countries (World Bank)

LMICWBF: Africa, lower-middle income countries (World Bank)

LMICWBWXF: World outside Africa, lower-middle income countries (World Bank)

MADCT: More advanced developed countries and territories

MADCT_X: More advanced developed countries and territories unspecified

NRRCFWXF: World outside Africa, non-resource-rich countries

OECDEXEU: Non-European Union countries in OECD Europe

OECDXUSAJPNEA17: OECD countries except USA, JPN and euro area

OLICWBF: Africa, low income countries (World Bank)

OLICWBWXF: World outside Africa, low income countries (World Bank)

PALOP: Portuguese-speaking African countries (PALOP)

PCI_F: Former Pacific Islands (Trust Territory)

PSE: Palestinian Authority or West Bank and Gaza Strip

RRCFWXF: World outside Africa, resource-rich countries

S3: Western Asia / Near and Middle East countries

S3_O: Other Western Asia / Near and Middle East countries

S3_OXOECD: Non-OECD other Western Asia / Near and Middle East countries

SADC: Southern African Development Community (SADC)

SGS: South Georgia and the South Sandwich Islands

SIDSWXF: World outside Africa, small island developing states

UMICWB: Upper-middle income countries (World Bank)

UMICWBF: Africa, upper-middle income countries (World Bank)

UMICWBWXF: World outside Africa, upper-middle income countries (World Bank)

USMCA: United States - Mexico - Canada Agreement (USMCA)

WXANNEX1:
Non-Annex I of the United Nations Framework Convention on Climate

            Change Parties

WXEU00_X: Extra-EU (evolving composition) unspecified

WXEU27_2020: Extra-European Union (27 countries from 01/02/2020)

NEGATIVE_PROFIT_TAX_ACCRUED: Negative or zero profits and negative income tax accrued combined

RATE_0-10: Tax rate equal to or greater than 0% or less than 10%

RATE_0-15: Tax rate equal to or greater than 0% or less than 15%

RATE_10-20: Tax rate equal to or greater than 10% and less than 20%

RATE_10_ACCRUED: Tax rate less than 10% (includes negative tax accrued)

RATE_20-30: Tax rate equal to or greater than 20% and less than 30%

ACT_ADMIN: Administrative, management or support services business activity

ACT_FIN: Regulated financial services business activity

ACT_HOLDING: Holding shares or other equity instruments business activity

ACT_IGF: Internal group finance business activity

ACT_IP: Holding or managing intellectual property business activity

ACT_MAN: Manufacturing or production business activity

ACT_PUR: Purchasing or procurement business activity

ACT_RD: Research and development business activity

ACT_SALES: Sales, marketing or distribution business activity

ACT_SER: Provision of services to unrelated parties business activity

ASSETS: Tangible assets other than cash and cash equivalents

ETR: Income tax accrued – current year relative to profit (loss) before income tax

PROFIT_ADJ: Adjusted profit (loss) before income tax

IQMEAN: Value representing the interquartile mean of a distribution

P10: Value representing the 10th percentile cut point of a distribution

P25: Value representing the 25th percentile cut point of a distribution

P5: Value representing the 5th percentile cut point of a distribution

P50: Value representing the 50th percentile cut point of a distribution

P75: Value representing the 75th percentile cut point of a distribution

P90: Value representing the 90th percentile cut point of a distribution

P95: Value representing the 95th percentile cut point of a distribution

10P3EMP_MS: Per 1 000 employment in the market sector

10P3HB_AGE: Per 1 000 inhabitants in the same age group

10P3PHYS_PRF_HLTH: Per 1 000 practising physicians in the same health profession

ADF: Andorran franc (1-1 peg to the French franc)

ADP: Andorran peseta (1-1 peg to the Spanish peseta)

DDD_10P3HB: Defined daily doses per 1 000 inhabitants per day

EUR_EXC_PS: Euros, exchange rate converted, per person

FCTR_EARN_FT_SIM: Factor of earnings for full-time, full-year similarly educated workers

FCTR_EARN_FT_TER: Factor of earnings for full-time, full-year tertiary-educated workers

FCTR_FAS_S1: Factor of financial assets of total economy

FCTR_LI_F5: Factor of equity and investment fund shares liabilities

FCTR_LI_S1S: Factor of liabilities of total economy, except financial corporations

FCTR_P6_M: Factor of export market for goods and services

FCTR_Q1_SCR_LIFE_SATISFACTION: Factor of lowest life satisfaction scores quintile

FCTR_Q1_SCR_PERS_REL_SATISFACTION: Factor of lowest personal relationship satisfaction scores quintile

FCTR_Q1_SCR_TIME_USE: Factor of lowest time use scores quintile

FCTR_SAL_EXP0: Factor of salary at the start of the career

FCTR_SAL_ISCED11_1: Factor of salary per net teaching hour of teachers in primary education

FCTR_WG_SAL_G_I_INC: Factor of gross individual wage at the same income level

FCTR_WG_SAL_N_I_INC: Factor of net individual wage at the same income level

G_CO2E_KWH: Grammes of CO2-equivalent per kilowatt hour

HB_LAU: Inhabitants per local administrative unit

KGOE_PS: Kilogrammes of oil equivalent per person

KG_CO2E_10P3USD: Kilogrammes of CO2-equivalent per 1 000 US dollars

KG_CO2E_KG: Kilogrammes of CO2-equivalent per kilogramme

KG_CO2E_PS: Kilogrammes of CO2-equivalent per person

LAU_10P5HB: Local administrative units per 100 000 inhabitants

PASKM_10P3USD: Passenger-kilometres per 1 000 US dollars

PC_DT_A: Percentage change from base period average deaths

PD_EMP_PA: Percentage point difference from prime-age workers

PRC_10P3HB_Y_GE65: Procedures per 1 000 inhabitants aged 65 years old or over

PRC_10P3POP_Y_GE65: [Deprecated] Procedures per 1 000 population aged 65 years old and over

PT_ADLSC_EDU: Percentage of adolescent students at the same education level

PT_APD: Percentage of official development assistance

PT_APD_SEC: Percentage of sector-allocable official development assistance

PT_AS_PENS_OCC: Percentage of occupational pension assets

PT_AS_S1M: Percentage of household and NPISH assets

PT_B1GQ_POP_PPP_OECD: Percentage of PPP converted GDP per capita of OECD

PT_B1G_MS: Percentage of gross value added in the market sector

PT_B2A3G: Percentage of gross operating surplus and mixed income

PT_B5G_S14: Percentage of balance of household gross primary income

PT_B5G_S1M: Percentage of balance of household and NPISH gross primary income

PT_B5N_S14: Percentage of balance of household net primary incomes

PT_B6GA_S1M: Percentage of household and NPISH gross disposable income adjusted for the net change in pension entitlements

PT_B6G_A_POP_Y_GT65: Percentage of gross disposable income of the population aged over 65 years

PT_B6G_S14: Percentage of household gross disposable income

PT_B6G_S1M: Percentage of household and NPISH gross disposable income

PT_B6NA_S1M: Percentage of household and NPISH net disposable income adjusted for the net change in pension entitlements

PT_B6N_S14: Percentage of household net disposable income

PT_B6N_S1M: Percentage of household and NPISH net disposable income

PT_B7G_S14: Percentage of household gross adjusted disposable income

PT_B7N_S14: Percentage of household net adjusted disposable income

PT_B7N_S1M: Percentage of household and NPISH net adjusted disposable income

PT_B90_S1M: Percentage of household and NPISH wealth

PT_BD_AV_ICU: Percentage of available intensive care unit (ICU) beds

PT_BERD: Percentage of business enterprise expenditure on R&D

PT_BF90_S14: Percentage of household financial wealth

PT_BF90_S1M: Percentage of household and NPISH financial wealth

PT_CONS_MAT_D: Percentage of domestic material consumption

PT_CONS_VA: Percentage of value added in consumption

PT_COS_WLFR_DT_PRMTR: Percentage of welfare cost of premature deaths

PT_CSE_AGR_COM: Percentage of consumption expenditure on agricultural commodities at farm gate prices, excluding taxpayer transfers to consumers

PT_DALY: Percentage of disability-adjusted life years

PT_DDD_PRSC: Percentage of defined daily doses prescribed

PT_DEPEND_SUB: Percentage of dependents in the subgroup

PT_DFD_FVA: Percentage of foreign value added in domestic final demand

PT_DT_A_PRECVD19: Percentage of average deaths in pre-COVID years

PT_EARN_G_PRE_RET_INC: Percentage of gross pre-retirement earnings at the same income level

PT_EARN_N_PRE_RET_INC: Percentage of net pre-retirement earnings at the same income level

PT_EARN_PRVS_LST_SUB: Percentage of previous earnings lost in the same subgroup

PT_EARN_WR_ISCED11A_0T2: Percentage of earnings of workers with below upper secondary educational attainment

PT_EARN_WR_ISCED11A_3_3_4: Percentage of earnings of workers with upper secondary educational attainment, or workers with upper secondary or post-secondary non-tertiary education if the former is not available

PT_EARN_WR_ISCED11A_3_4: Percentage of earnings of workers with upper secondary or post-secondary non-tertiary educational attainment

PT_EARN_WR_ISCED11A_5T8: Percentage of earnings of workers with tertiary educational attainment

PT_EARN_WR_NB: Percentage of earnings of native-born workers

PT_EARN_WR_Y25T34: Percentage of earnings of workers aged 25-34 years

PT_EMP_FT_HSPTL: Percentage of full-time hospital employment

PT_EMP_PT_INV: Percentage of involuntary part-time employment

PT_EMP_S13: Percentage of general government employment

PT_EMP_SEX_AGE: Percentage of employment in the same age and sex

PT_EMP_SUB: Percentage of employment in the same subgroup

PT_EM_CO2_TRAN: Percentage of CO2 emissions from transport

PT_EXGR_DVA: Percentage of domestic value added in gross exports

PT_EXGR_INT_DVA: Percentage of domestic value added in gross exports of intermediates

PT_EXGR_T: Percentage of total economy gross exports

PT_EXP_CUR_EDU_INST: Percentage of current expenditure on educational institutions

PT_EXP_EDU_INST: Percentage of expenditure on educational institutions

PT_EXP_EDU_INST_EXP_TP: Percentage of expenditure on educational institutions in the same expenditure type

PT_EXP_FNC: Percentage of expenditure in the same function

PT_EXP_FS: Percentage of expenditure in the same financing scheme

PT_EXP_OUT_S13: Percentage of general government outsourcing expenditures

PT_EXP_PRV: Percentage of expenditure in the same provider

PT_EXP_S14_SUB: Percentage of household expenditure in the same subgroup

PT_EXP_S14_TRAN: Percentage of household expenditure in transport

PT_EXP_SECTOR: Percentage of expenditure in the same institutional sector

PT_EXP_TOUR_INT: Percentage of international tourism expenditure

PT_FAS_S12L: Percentage of financial assets of investment funds

PT_FAS_S12Q: Percentage of financial assets of insurance corporations and pension funds

PT_FAS_S14: Percentage of household financial assets

PT_FAS_S1M: Percentage of household and NPISH financial assets

PT_FD4_S13M_INST: Percentage of state and local government debt in the same instrument

PT_FD4_S13_INST: Percentage of general government debt in the same instrument

PT_FD_VA: Percentage of value added in final demand

PT_FFD_DCE: Percentage of domestic compensation of employees in foreign final demand

PT_FFD_DEM: Percentage of domestic employment in foreign final demand

PT_FFD_DVA: Percentage of domestic value added in foreign final demand

PT_GBARD: Percentage of government allocations for R&D

PT_GBARD_C: Percentage of civil government allocations for R&D

PT_GERD: Percentage of gross domestic expenditure on R&D

PT_GFCF_VA: Percentage of value added in gross fixed capital formation

PT_GOVERD: Percentage of government intramural expenditure on R&D

PT_GPROC_S13: Percentage of general government procurement

PT_HERD: Percentage of higher education expenditure on R&D

PT_HH_PS_GE1_PENS: Percentage of households with at least one member aged 65+ that benefits from a pension in the same subgroup

PT_HH_WR_LT_INT_PVL: Percentage of households with workers living with less than the international poverty line amount

PT_H_W_USA_PS: Percentage of USA hours worked per person

PT_IMGR_INT: Percentage of gross imports of intermediates

PT_IM_CIF: Percentage of imports (valued at the CIF price)

PT_INC_DISP_HH: Percentage of disposable household income

PT_INC_DISP_HH_BJL: Percentage of disposable household income before job loss

PT_INC_DISP_HH_MEDIAN: Percentage of median disposable household income

PT_INC_DISP_HH_TP_REF_WG_A: Percentage of disposable income in the same household type and with reference person working at average wage

PT_INC_DISP_HH_TP_REF_WG_MEDIAN: Percentage of disposable income in the same household type and with reference person working at median wage

PT_INFR_MAI: Percentage of infrastructure maintenance

PT_INST_COM: Percentage of compulsory instruction time

PT_INV_W_ENV: Percentage of environment related worldwide inventions

PT_LF_SUB: Percentage of labour force in the same subgroup

PT_LI_F2: Percentage of currency and deposits liabilities

PT_LI_S12L: Percentage of liabilities of investment funds

PT_LI_S12Q: Percentage of liabilities of insurance corporations and pension funds

PT_LI_S13: Percentage of general government liabilities

PT_LND_NTR_SNTR_1992: Percentage of natural and semi-natural land in 1992

PT_LND_NTR_SNTR_2004: Percentage of natural and semi-natural land in 2004

PT_LND_NTR_SNTR_BP: Percentage of natural and semi-natural land in base period

PT_LSC_FRST_INT_2000: Percentage of intact forest landscape in 2000

PT_MTH_CH_Y_LE15: Percentage of mothers with at least one child under 15 years

PT_NST_SUB: Percentage of non-students in the same subgroup

PT_ODA_S13: [Deprecated] Percentage of tax revenue / total tax receipt

PT_OTE_S13: Percentage of general government expenditure

PT_OTE_S13M_FNC: Percentage of state and local government expenditure in the same function

PT_OTE_S13M_TRANSACT: Percentage of state and local government expenditure in the same transaction

PT_OTE_S13_EDU: Percentage of general government expenditure on education

PT_OTE_S13_FNC: Percentage of general government expenditure in the same function

PT_OTE_S13_TRANSACT: Percentage of general government expenditure in the same transaction

PT_OTR_REV_CAT: Percentage of revenues in the same revenue category

PT_OTR_S13: Percentage of general government revenues

PT_OTR_S13M_REV_CAT: Percentage of state and local government revenues in the same revenue category

PT_OTR_S13_CAT: Percentage of general government revenues in the same category

PT_OTR_SECTOR: Percentage of revenues in the same institutional sector

PT_P2_ACT: Percentage of intermediate consumption in the same activity

PT_P2_ACT_PROD: Percentage of intermediate consumption in the same activity and product

PT_P2_PROD: Percentage of intermediate consumption in the same product

PT_P3: Percentage of final consumption expenditure

PT_P3_POP_PPP_OECD: Percentage of PPP converted final consumption expenditure per capita of OECD

PT_P3_S14: Percentage of final household consumption expenditure

PT_P3_S14_O_PROD: Percentage of household final consumption expenditure at purchasers' prices in the same product

PT_P3_S14_PROD: Percentage of household final consumption expenditure in the same product

PT_P41_POP_PPP_OECD: Percentage of PPP converted actual individual consumption per capita of OECD

PT_P51G: Percentage of gross fixed capital formation

PT_P51G_PROD: Percentage of gross fixed capital formation in the same product

PT_P5L_S1: Percentage of investment of total economy

PT_P5L_S13: Percentage of general government investment

PT_P5L_SECTOR: Percentage of investment in the same institutional sector

PT_P6_PROD: Percentage of exports in the same product

PT_PARL_ELECT_OFF_LSH: Percentage of elected officials in the national lower or single houses of parliament

PT_PATN_FM_T: Percentage of world triadic patent families

PT_PAT_DRUG_ANTCOAG: Percentage of patients receiving anticoagulating drugs

PT_PAT_DSC_D_MD: Percentage of discharged patients diagnosed with a mental disorder

PT_PAT_WAIT_M_GT3: Percentage of patients waiting more than 3 months

PT_PBL_SC_E: Percentage of expected scientific publications

PT_PBL_SC_SUB: Percentage of scientific publications in the same subgroup

PT_PCOS_S13: Percentage of general government production costs

PT_POP_AGE: Percentage of population in the same age

PT_POP_COND: Percentage of population who have condition

PT_POP_LT_INT_PVL: Percentage of population living with less than the international poverty line amount

PT_POP_SEX: Percentage of population in the same sex

PT_POP_SEX_AGE: Percentage of population in the same sex and age

PT_POP_SUB: Percentage of population in the same subgroup

PT_POP_Y15T24: Percentage of population aged 15-24 years

PT_POP_Y15T24_SUB: Percentage of population aged 15-24 years in the same subgroup

PT_POP_Y15T29: Percentage of population aged 15-29 years

PT_POP_Y15T64: Percentage of population aged 15-64 years

PT_POP_Y15T74: Percentage of population aged 15-74 years

PT_POP_Y16T65: Percentage of population aged 16-65 years

PT_POP_Y16T65_SUB: Percentage of population aged 16-65 in the same subgroup

PT_POP_Y20T64: Percentage of population aged 20-64 years

PT_POP_Y25T34: Percentage of population aged 25-34 years

PT_POP_Y25T54: Percentage of population aged 25-54 years

PT_POP_Y25T64: Percentage of population aged 25-64 years

PT_POP_Y25T64_SUB: Percentage of population aged 25-64 years in the same subgroup

PT_POP_Y_GE15: Percentage of population aged 15 years or over

PT_POP_Y_GE15_SUB: Percentage of population aged 15 years or over in the same subgroup

PT_POP_Y_GE16: Percentage of population aged 16 years or over

PT_POP_Y_GE16_SUB: Percentage of population aged 16 years or over in the same subgroup

PT_POP_Y_GE65: Percentage of population aged 65 years or over

PT_POP_Y_GE75: Percentage of population aged 75 years or over

PT_POP_Y_LT1: Percentage of children aged less than 1 years

PT_REC_FRM_COM: Percentage of commodity specific gross farm receipts

PT_REC_TOUR_INT: Percentage of international tourism receipts

PT_RSC_REN_INT: Percentage of internal renewable resources

PT_RSC_REN_INT_WAT_FRSH: Percentage of internal renewable fresh water resources

PT_RSC_REN_WAT: Percentage of available renewable water resources

PT_SAL_SUB: Percentage of employees in the same subgroup

PT_SELF_SUB: Percentage of self-employed in the same subgroup

PT_SL_VAL_M: Percentage of sales value (turnover) in the same market

PT_SL_VOL_M: Percentage of sales volume in the same market

PT_SME: Percentage of small and medium-sized enterprises

PT_SNGU_SECTOR: Percentage of subnational government units in the same institutional sector

PT_ST_SUB: Percentage of students in the same subgroup

PT_SUPP_E_ALL: Percentage of total support estimate for all countries

PT_SUPP_E_GN_SRV: Percentage of general services support estimate

PT_SUPP_E_GN_SRV_ALL: Percentage of general services support estimate for all countries

PT_SUPP_E_PRDC_ALL: Percentage of producer support estimate for all countries

PT_SUPP_FOS_FL_OC: Percentage of ocean-related fossil fuel support

PT_SUR_ART_BP: Percentage of artificial surfaces in base period

PT_SUR_WAT_PER_1984: Percentage of permanent water surface in 1984

PT_TAX_REV_ENV: Percentage of environment related tax revenue

PT_TAX_REV_NRG: Percentage of energy related tax revenue

PT_TCAR_BP: Percentage of tree-covered areas in base period

PT_TECH_COL: Percentage of collaborations in all technologies

PT_TECH_ENV: Percentage of environment related technologies

PT_TRD_INT_G: Percentage of trade in intermediate goods

PT_TS_O_PROD: Percentage of total supply at purchasers' prices in the same product

PT_UNEMPT_SUB: Percentage of unemployment in the same subgroup

PT_VOTES_SUB: Percentage of votes in the same subgroup

PT_WAP_SUB: Percentage of working age population in the same subgroup

PT_WG_A_SAL_FT: Percentage of average wage of full-time employees

PT_WG_SAL_M_D: Percentage of wages of men in the same decile

PT_WR_HLTH_INS_SUB: Percentage of workers with health insurance in the same subgroup

PT_WR_INF_DEG_URB: Percentage of informal workers in the same degree of urbanisation

PT_WR_INF_EMP_ST: Percentage of informal workers in the same employment status

PT_WR_INF_SEX: Percentage of informal workers in the same sex

PT_WR_INF_SUB: Percentage of informal workers in the same subgroup

PT_WR_LT_INT_PVL: Percentage of workers living with less than the international poverty line amount

PT_WR_LT_NAT_PVL: Percentage of workers living with less than the national poverty line amount

PT_WR_PENS_SUB: Percentage of workers contributing to pensions in the same subgroup

PT_WR_PRF_HLTH: Percentage of workers in the same health profession

PT_WR_PRF_HLTH_SEX: Percentage of workers in the same health profession and sex

PT_WR_SEX_AGE_EMP_ST: Percentage of workers in the same age, sex and employment status

PT_WR_SUB: Percentage of workers in the same subgroup

PT_W_SUB: Percentage of women in the same subgroup

TOE_10P3USD: Tonnes of oil equivalent per 1 000 US dollars

T_NMVOCE_USD: Tonnes of NMVOC equivalent per US dollar

USD_EXC_H: US dollars per hour, exchange rate converted

USD_EXC_PS: US dollars per person, exchange rate converted

USD_HHE_PPP: US dollars per equivalised household, PPP converted

USD_KG_CO2E: US dollars per kilogramme of CO2-equivalent

USD_PPP_KWH: US dollars per kilowatt hour, PPP converted

XDC_HH_EQ: National currency per equivalised household

XDC_INP: National currency per unit of total inputs

XDC_TCO2E: National currency per tonne of CO2-equivalent

name: Country-by-country reporting (CbCR) - Aggregate totals by jurisdiction - Corporate tax statistics

provider_name: Organisation for Economic Co-operation and Development


description: Table II - This table reports variable interquartile means, which are based on the number of CbCR sub-groups according to their jurisdiction of tax residence (or country groups,depending on confidentiality). The tables includes three panels aggregating all sub-groups, sub-groups with positive profits and sub-groups with negative profits. For the years 2016 and 2017 this table reported variable averages.

ANNEX1: Annex I of the United Nations Framework Convention on Climate Change Parties

PT_EARN_WR_ISCED11A_3: Percentage of earnings of workers with upper secondary educational attainment

name: Country-by-country reporting (CbCR) - Interquartile mean values by jurisdiction - Corporate tax statistics


description: Table III - This table reports data by the effective tax rate of the MNE group and by tax jurisdiction. The effective tax rate of an MNE Group is computed by summing Income Tax Accrued – Current Year across all subgroups reported on a CbCR. Then group-level profit (loss) is computed in a similar fashion. The MNE group tax rate is calculated by dividing the computed grouplevel income tax accrued by the computed group-level profit (loss). If the sum of an MNE group’s profits is zero or negative then the MNE group is categorised as having zero or negative profits. If the sum of an MNE group’s income tax accrued is negative and the sum of the MNE group’s profits is positive, then the MNE group is categorised in negative income tax accrued category.

name: Country-by-country reporting (CbCR) - Aggregate totals by the effective tax rate of the MNE group and by tax jurisdiction  - Corporate tax statistics


description: Table IV - This table reports data by the effective tax rate of the MNE sub-group and by tax jurisdiction. The effective tax rate of an MNE sub-group is computed by  dividing the sub-group income tax accrued by the sub-group-profit (loss). If the sum of an MNE sub-group’s profits is zero or negative then the MNE sub-group is categorised as having zero or negative profits. If the sum of an MNE sub-group’s income tax accrued is negative and the sum of the MNE sub-group’s profits is positive, then the MNE sub-group is categorised in negative income tax accrued category.

name: Country-by-country reporting (CbCR) - Aggregate totals by the effective tax rate of the MNE sub-group and by tax jurisdiction - Corporate tax statistics


description: Table V - This table reports information on the size of MNE groups filing CbCRs. For the purposes of Table V, the size of an MNE group is defined in terms of three variables: 1. Unrelated Party Revenues 2. Number of Employees 3. Tangible Assets other than Cash and Cash Equivalents. The total size of an MNE group is determined by summing over all sub-groups of an MNE group.

name: Country-by-country reporting (CbCR) - Distribution points of MNE group size - Corporate tax statistics


REITER.Stat

AUX_OBS_STATUS: Aux observation status

AUX_OBS_STATUS_2: Aux observation status 2

CONF_STATUS: Confidentiality status

OBS_STATUS: Observation status

OBS_STATUS_2: Observation status 2

OBS_STATUS_3: Observation status 3

CZ2: Compiled according to the System of National Accounts 2008

F2: Including R&D in the social sciences and humanities

G2: Excluding R&D in the social sciences and humanities

H2: Federal or central government only

I2: Excludes data for the R&D content of general payment to the Higher Education sector for combined education and research (public GUF)

IN2: Incomplete data

J2: Excludes most or all capital expenditure

L2: Overestimated or based on overestimated data

M2: Underestimated or based on underestimated data

N2: Included elsewhere

O2: Includes other classes

OE2: OECD estimate for visualization purpose

R2: Revised data

S2: Unrevised breakdown not adding to the revised total

T2: Do not correspond exactly to OECD norms

U2: University graduates instead of researchers

V2: The sum of the breakdown does not add to the total

Y2: Compiled according to the System of National Accounts 1993

Z2: Absolute zero observation

[A] Primary confidentiality due to small counts

C: Confidential statistical information

D: Secondary confidentiality set by the sender, not for publication

E: Not for publication, restricted for internal use only (equivalent to the code N) until the embargo time elapses; Free for publication (equivalent to the code F) after the embargo time elapses.

F: Free (free for publication)

G: Primary confidentiality due to dominance by one or two units

M: Primary confidentiality due to data declared confidential based on other measures of concentration

N: Not for publication, restricted for internal use only

O: Primary confidentiality due to dominance by one unit

S: Secondary confidentiality set and managed by the receiver, not for publication

T: Primary confidentiality due to dominance by two units

X: Confidentiality due to military secrecy

[A] Normal value

B: Time series break

D: Definition differs

E: Estimated value

F: Forecast value

G: Experimental value

[H] Missing value; holiday or weekend

I: Value imputed by a receiving agency

J: Derogation

K: Data included in another category

L: Missing value; data exist but were not collected

M: Missing value; data cannot exist

N: Not significant

O: Missing value

P: Provisional value

Q: Missing value; suppressed

S: Strike and other special events

U: Low reliability

V: Unvalidated value

W: Includes data from another category

dimensions_codes_order: LOCATION VAR

LOCATION: Country

VAR: Indicator

ADBELOSECPOP_XT: Adult population with below secondary  level, % 25-65 years old

ADPHDPOP_XT: Adult population with a doctorate, % 25-65 years old

ADTERPOP_XT: Adult population at tertiary education level, % total

ADUPSECPOP_XT: Adult population with upper secondary or post secondary not tertiary level education level, % 25-65 years old

AIPUBS_NBFRAC: Total number of scientific publications, fractional counts, Artificial Intelligence

AI_INTL_X: Percentage of scientific publications involving international collaboration, Artificial Intelligence

ANNUAL_FLOWS_NB: International net flows of scientific authors

BACGRAD_NB: Number of students first time graduate in bachelor or equivalent level

BE_BIO_XBE: Biotechnology R&D intensity in the business sector, % Business Enterprise R&D

BE_BIO_XVA: Nanotechnology R&D intensity in the business sector,  % industry value added

BE_NANO_XBE: Nanotechnology R&D intensity in the business sector, % Business Enterprise R&D

BE_NANO_XVA: Biotechnology R&D intensity in the business sector, % industry value added

BPCS_LGE_XFRMTOT: Business process innovative firms,LGE, as a percentage of total firms

BPCS_MANUF_XFRMTOT: Business process innovative firms, manufacturing, as percentage of total firms

BPCS_NORD_XFRMTOT: Business process innovative firms, no R&D, as a percentage of total firms

BPCS_OTH_XFRMTOT: Business process innovative firms,other sectors, as a percentage of total firms

BPCS_RD_XFRMTOT: Business process innovative firms, R&D-active (in-house and/or external), as a percentage of total firms

BPCS_SERV_XFRMTOT: Business process innovative firms, core services, as a percentage of total firms

BPCS_SME_XFRMTOT: Business process innovative firms, SME, as a percentage of total firms

BPCS_XFRMTOT: Business process innovative firms, as a percentage of total firms

CAPA_XR: Perceived capacities, % 18-64 years old respondents

CO_INN_ALL_XINN: Firms co-operating on innovation activities (including R&D), as a percentage of innovation active firms

C_SPAPPP: Civil GBARD for Space programmes (current PPP$)

C_SPAXCV: Civil GBARD in exploration and exploitation of space, as a % of total civil GBARD

ECO_ENT_CON_XINN_OSLO: Innovative enterprises that introduced innovations with environmental benefits within the enterprise  OR generated during the use of the enterprise's good and services by consumers or end users  - with significant contributions to environmental protection, as a percentage of innovative firms

ECO_ENT_CON_XINN_OSLO_LGE: Innovative enterprises that introduced innovations with environmental benefits within the enterprise  OR generated during the use of the enterprise's good and services by consumers or end users  - with significant contributions to environmental protection, LGE, as a percentage of innovative firms

ECO_ENT_CON_XINN_OSLO_MANUF: Innovative enterprises that introduced innovations with environmental benefits within the enterprise  OR generated during the use of the enterprise's good and services by consumers or end users  - with significant contributions to environmental protection, manufacturing, as a percentage of innovative firms

ECO_ENT_CON_XINN_OSLO_OTH: Innovative enterprises that introduced innovations with environmental benefits within the enterprise  OR generated during the use of the enterprise's good and services by consumers or end users  - with significant contributions to environmental protection, other sectors, as a percentage of innovative firms

ECO_ENT_CON_XINN_OSLO_SERV: Innovative enterprises that introduced innovations with environmental benefits within the enterprise  OR generated during the use of the enterprise's good and services by consumers or end users  - with significant contributions to environmental protection, core services, as a percentage of innovative firms

ECO_ENT_CON_XINN_OSLO_SME: Innovative enterprises that introduced innovations with environmental benefits within the enterprise  OR generated during the use of the enterprise's good and services by consumers or end users  - with significant contributions to environmental protection, SME as a percentage of innovative firms

EMP20_INNOSLO_XEMP20: Share of persons employed in innovative firms in total employment

ENTINT_XR: Entrepreneurial intention, % 18-64 years old respondents

ENVTAX_CC_XREV: Climate change related taxes, % of total tax revenues

FORPHDENR_ENG_NB: Mobile PHDs students  in engineering, manufacturing and construction, number

FORPHDENR_ENG_XT: Mobile PHDs students  in engineering, manufacturing and construction, as a share of all PHDs enrolled in this field

FORPHDENR_ICT_NB: International PHDs students  in information and communication technologies, number

FORPHDENR_ICT_XT: International PHDs students  in information and communication technologies, as a share of all PHDs enrolled in this field

FORPHDENR_NSE_NB: international  PHDs students  in natural sciences, mathematics and statistics, number

FORPHDENR_NSE_XT: International PHDs students  in natural sciences, mathematics and statistics, as a share of all PHDs enrolled in this field

FORPHD_NB: International students at doctoral level (ISCED2011 level 8), number

FORSPHD_XPHDENR: International/foreign students at doctoral level (ISCED2011 level 8), % total enrolment at doctorate level

FORTERENR_ENG_NB: International students in tertiary education in engineering, manufacturing and construction, number

FORTERENR_ENG_XT: International students in tertiary education in engineering, manufacturing and construction, as a share of all students enrolled in this field

FORTERENR_ICT_NB: International students in tertiary education in ICT, number

FORTERENR_ICT_XT: International students in tertiary education in information and communication technologies, as a share of all students enrolled in this field

FORTERENR_NSE_NB: International students in tertiary education in natural sciences, mathematics and statistics, as a share of all students enrolled in this field, number

FORUNI_NB: International/foreign students at tertiary level (ISCED2011 levels 5 to 8), number

FORUNI_XTENR: International/foreign students at tertiary level (ISCED2011 levels 5 to 8), % total enrolment at tertiary-level

FOR_INN_LGE_XINN: Innovation active firms operating in foreign markets, LGE,  as a percentage of innovation-active firms

FOR_INN_MANUF_XINN: Innovation active firms operating in foreign markets, manufacturing, as a percentage of innovation-active firms

FOR_INN_OTH_XINN: Innovation active firms operating in foreign markets, other sectors, as a percentage of innovation-active firms

FOR_INN_SERV_XINN: Innovation active firms operating in foreign markets,core services, as a percentage of innovation-active firms

FOR_INN_SME_XINN: Innovation active firms operating in foreign markets, SME, as a percentage of innovation-active firms

FOR_INN_XINN: Innovation active firms operating in foreign markets, as a percentage of innovation-active firms

FPUBS_10_NBFRAC: Total number of scientific publications, fractional counts, 10 Multidisciplinary

FPUBS_11_NBFRAC: Total number of scientific publications, fractional counts, 11 Agricultural and Biological Sciences (all)

FPUBS_12_NBFRAC: Total number of scientific publications, fractional counts, 12 Arts and Humanities (all)

FPUBS_13_NBFRAC: Total number of scientific publications, fractional counts, 13 Biochemistry, Genetics and Molecular Biology (all)

FPUBS_14_NBFRAC: Total number of scientific publications, fractional counts, 14 Business, Management and Accounting (all)

FPUBS_15_NBFRAC: Total number of scientific publications, fractional counts, 15 Chemical Engineering (all)

FPUBS_16_NBFRAC: Total number of scientific publications, fractional counts, 16 Chemistry (all)

FPUBS_1700_NBFRAC: Total number of scientific publications, fractional counts1700 Computer Science (all)

FPUBS_1702_NBFRAC: Total number of scientific publications, fractional counts1702 Artificial Intelligence

FPUBS_17_NBFRAC: Total number of scientific publications, fractional counts, 17 Computer Science (all)

FPUBS_18_NBFRAC: Total number of scientific publications, fractional counts, 18 Decision Sciences (all)

FPUBS_19_NBFRAC: Total number of scientific publications, fractional counts, 19 Earth and Planetary Sciences (all)

FPUBS_20_NBFRAC: Total number of scientific publications, fractional counts, 20 Economics, Econometrics and Finance (all)

FPUBS_21_NBFRAC: Total number of scientific publications, fractional counts, 21 Energy (all)

FPUBS_22_NBFRAC: Total number of scientific publications, fractional counts, 22 Engineering (all)

FPUBS_23_NBFRAC: Total number of scientific publications, fractional counts, 23 Environmental Science (all)

FPUBS_2400_NBFRAC: Total number of scientific publications, fractional counts2400 Immunology and Microbiology (all)

FPUBS_2406_NBFRAC: Total number of scientific publications, fractional counts2406 Virology

FPUBS_24_NBFRAC: Total number of scientific publications, fractional counts, 24 Immunology and Microbiology (all)

FPUBS_25_NBFRAC: Total number of scientific publications, fractional counts, 25 Materials Science (all)

FPUBS_26_NBFRAC: Total number of scientific publications, fractional counts, 26 Mathematics (all)

FPUBS_2725_NBFRAC: Total number of scientific publications, fractional counts2725 Infectious Diseases

FPUBS_2740_NBFRAC: Total number of scientific publications, fractional counts2740 Pulmonary and Respiratory Medicine

FPUBS_27_NBFRAC: Total number of scientific publications, fractional counts, 27 Medicine (all)

FPUBS_28_NBFRAC: Total number of scientific publications, fractional counts, 28 Neuroscience (all)

FPUBS_29_NBFRAC: Total number of scientific publications, fractional counts, 29 Nursing (all)

FPUBS_30_NBFRAC: Total number of scientific publications, fractional counts, 30 Pharmacology, Toxicology and Pharmaceutics (all)

FPUBS_31_NBFRAC: Total number of scientific publications, fractional counts, 31 Physics and Astronomy (all)

FPUBS_32_NBFRAC: Total number of scientific publications, fractional counts, 32 Psychology (all)

FPUBS_33_NBFRAC: Total number of scientific publications, fractional counts, 33 Social Sciences (all)

FPUBS_34_NBFRAC: Total number of scientific publications, fractional counts, 34 Veterinary (all)

FPUBS_35_NBFRAC: Total number of scientific publications, fractional counts, 35 Dentistry (all)

FPUBS_36_NBFRAC: Total number of scientific publications, fractional counts, 36 Health Professions (all)

FPUBS_NBFRAC: Total number of scientific publications, fractional counts

FPUBS_X_WLD: Total publications as % world total (fractional)

FRRSK_XR: Rate of fear of failure, % 18-64 years old respondents

GOV_RI_XINN: Firms co-operating on innovation activities with public R&D institutes, as a percentage of innovation active firms

INFLOW_IMPACT_I: Expected citation impact of scientific authors, by mobility profile: new inflows

INFLOW_NB: International mobility of scientific authors: new inflows

INN_LGE_XFRMTOT: Innovation-active firms, LGE, as a percentage of total firms

INN_MANUF_XFRMTOT: Innovation-active firms, manufacturing, as a percentage of total firms

INN_OSLO_LGE_XFRMTOT: Innovative firms (product/process), LGE, as a percentage of total firms

INN_OSLO_MANUF_XFRMTOT: Innovative firms (product/process), Manufacturing, as a percentage of total firms

INN_OSLO_NORD_XFRMTOT: Innovative firms (product/process), no R&D, as a percentage of total firms

INN_OSLO_OTH_XFRMTOT: Innovative firms (product/process), Other sectors, as a percentage of total firms

INN_OSLO_RD_XFRMTOT: Innovative firms (product/process), R&D-active (in-house and/or external), as a percentage of total firms

INN_OSLO_SERV_XFRMTOT: Innovative firms (product/process), Core services, as a percentage of total firms

INN_OSLO_SME_XFRMTOT: Innovative firms (product/process), SME, as a percentage of total firms

INN_OSLO_XFRMTOT: Innovative firms (product/process), as a percentage of total firms

INN_OTH_XFRMTOT: Innovation-active firms, other sectors, as a percentage of total firms

INN_SERV_XFRMTOT: Innovation-active firms, core services, as a percentage of total firms

INN_SME_XFRMTOT: Innovation-active firms, SME, as a percentage of total firms

INN_XFRMTOT: Innovation-active firms (innovative enterprises (INN_OSLO) as well as firms with innovation activities that have not necessarily led to an innovation), as a percentage of total firms

INTL_10_X: Percentage of scientific publications involving international collaboration, 10 Multidisciplinary

INTL_11_X: Percentage of scientific publications involving international collaboration, 11 Agricultural and Biological Sciences (all)

INTL_12_X: Percentage of scientific publications involving international collaboration, 12 Arts and Humanities (all)

INTL_13_X: Percentage of scientific publications involving international collaboration, 13 Biochemistry, Genetics and Molecular Biology (all)

INTL_14_X: Percentage of scientific publications involving international collaboration, 14 Business, Management and Accounting (all)

INTL_15_X: Percentage of scientific publications involving international collaboration, 15 Chemical Engineering (all)

INTL_16_X: Percentage of scientific publications involving international collaboration, 16 Chemistry (all)

INTL_1700_X: Percentage of scientific publications involving international collaboration1700 Computer Science (all)

INTL_1702_X: Percentage of scientific publications involving international collaboration1702 Artificial Intelligence

INTL_17_X: Percentage of scientific publications involving international collaboration, 17 Computer Science (all)

INTL_18_X: Percentage of scientific publications involving international collaboration, 18 Decision Sciences (all)

INTL_19_X: Percentage of scientific publications involving international collaboration, 19 Earth and Planetary Sciences (all)

INTL_20_X: Percentage of scientific publications involving international collaboration, 20 Economics, Econometrics and Finance (all)

INTL_21_X: Percentage of scientific publications involving international collaboration, 21 Energy (all)

INTL_22_X: Percentage of scientific publications involving international collaboration, 22 Engineering (all)

INTL_23_X: Percentage of scientific publications involving international collaboration, 23 Environmental Science (all)

INTL_2400_X: Percentage of scientific publications involving international collaboration2400 Immunology and Microbiology (all)

INTL_2406_X: Percentage of scientific publications involving international collaboration2406 Virology

INTL_24_X: Percentage of scientific publications involving international collaboration, 24 Immunology and Microbiology (all)

INTL_25_X: Percentage of scientific publications involving international collaboration, 25 Materials Science (all)

INTL_26_X: Percentage of scientific publications involving international collaboration, 26 Mathematics (all)

INTL_2725_X: Percentage of scientific publications involving international collaboration2725 Infectious Diseases

INTL_2740_X: Percentage of scientific publications involving international collaboration2740 Pulmonary and Respiratory Medicine

INTL_27_X: Percentage of scientific publications involving international collaboration, 27 Medicine (all)

INTL_28_X: Percentage of scientific publications involving international collaboration, 28 Neuroscience (all)

INTL_29_X: Percentage of scientific publications involving international collaboration, 29 Nursing (all)

INTL_30_X: Percentage of scientific publications involving international collaboration, 30 Pharmacology, Toxicology and Pharmaceutics (all)

INTL_31_X: Percentage of scientific publications involving international collaboration, 31 Physics and Astronomy (all)

INTL_32_X: Percentage of scientific publications involving international collaboration, 32 Psychology (all)

INTL_33_X: Percentage of scientific publications involving international collaboration, 33 Social Sciences (all)

INTL_34_X: Percentage of scientific publications involving international collaboration, 34 Veterinary (all)

INTL_35_X: Percentage of scientific publications involving international collaboration, 35 Dentistry (all)

INTL_36_X: Percentage of scientific publications involving international collaboration, 36 Health Professions (all)

INTL_X: Percentage of scientific publications involving international collaboration

ISCORR_10_X: Percentage of corresponding/leading author scientific publications, 10 Multidisciplinary

ISCORR_11_X: Percentage of corresponding/leading author scientific publications, 11 Agricultural and Biological Sciences (all)

ISCORR_12_X: Percentage of corresponding/leading author scientific publications, 12 Arts and Humanities (all)

ISCORR_13_X: Percentage of corresponding/leading author scientific publications, 13 Biochemistry, Genetics and Molecular Biology (all)

ISCORR_14_X: Percentage of corresponding/leading author scientific publications, 14 Business, Management and Accounting (all)

ISCORR_15_X: Percentage of corresponding/leading author scientific publications, 15 Chemical Engineering (all)

ISCORR_16_X: Percentage of corresponding/leading author scientific publications, 16 Chemistry (all)

ISCORR_17_X: Percentage of corresponding/leading author scientific publications, 17 Computer Science (all)

ISCORR_18_X: Percentage of corresponding/leading author scientific publications, 18 Decision Sciences (all)

ISCORR_19_X: Percentage of corresponding/leading author scientific publications, 19 Earth and Planetary Sciences (all)

ISCORR_20_X: Percentage of corresponding/leading author scientific publications, 20 Economics, Econometrics and Finance (all)

ISCORR_21_X: Percentage of corresponding/leading author scientific publications, 21 Energy (all)

ISCORR_22_X: Percentage of corresponding/leading author scientific publications, 22 Engineering (all)

ISCORR_23_X: Percentage of corresponding/leading author scientific publications, 23 Environmental Science (all)

ISCORR_24_X: Percentage of corresponding/leading author scientific publications, 24 Immunology and Microbiology (all)

ISCORR_25_X: Percentage of corresponding/leading author scientific publications, 25 Materials Science (all)

ISCORR_26_X: Percentage of corresponding/leading author scientific publications, 26 Mathematics (all)

ISCORR_27_X: Percentage of corresponding/leading author scientific publications, 27 Medicine (all)

ISCORR_28_X: Percentage of corresponding/leading author scientific publications, 28 Neuroscience (all)

ISCORR_29_X: Percentage of corresponding/leading author scientific publications, 29 Nursing (all)

ISCORR_30_X: Percentage of corresponding/leading author scientific publications, 30 Pharmacology, Toxicology and Pharmaceutics (all)

ISCORR_31_X: Percentage of corresponding/leading author scientific publications, 31 Physics and Astronomy (all)

ISCORR_32_X: Percentage of corresponding/leading author scientific publications, 32 Psychology (all)

ISCORR_33_X: Percentage of corresponding/leading author scientific publications, 33 Social Sciences (all)

ISCORR_34_X: Percentage of corresponding/leading author scientific publications, 34 Veterinary (all)

ISCORR_35_X: Percentage of corresponding/leading author scientific publications, 35 Dentistry (all)

ISCORR_36_X: Percentage of corresponding/leading author scientific publications, 36 Health Professions (all)

ISCORR_X: Percentage of corresponding/leading author scientific publications

LOWMATH: PISA percentage of low achievers in mathematics

LOWSCI: PISA percentage of low achievers in science

MASENR_MEN_NB: Number of students enroled in master or equivalent level, men

MASENR_NB: Number of students enrolled in master or equivalent level

MASENR_WOMEN_NB: Number of students enroled in master or equivalent level, women

MASENR_WOMEN_XMAS: Women enroled in master's level, as % of  all master's students enroled

MASGRAD_NB: Number of students first time graduate in master or equivalent level

MATTAINPHD: Men with a doctorate, % of 25-65 years old men

MATTAINTER: Men with tertiary education attained, % of 25-65 years old men

MEMPPHD_XT: Employment rate of men, 25-64 years, with doctorate all fields

MEMPTER_XT: Employment rate of men, 25-64 years, with tertiary education all fields

MPHDENR_ENG_NB: Men doctorate in engineering manufacturing and construction, number

MPHDENR_ICT_NB: Men new entrants in doctorate in ICT, number

MPHDENR_NSE_NB: Men new entrants in doctorate in natural sciences, mathematics and statistics, number

MTERENR_ENG_NB: Men tertiary enrolment in engineering manufacturing and construction, number

MTER_ENG_XT: Men with tertiary education in engineering, manufacturing & construction, % of 25-65 year-old men with a tertiary level

MTER_ICT_XT: Men with tertiary education in ICT, % of 25-65 year-old men with a tertiary level

MTER_NSE_XT: Men with tertiary education in natural science, mathematics and statistics, % of 25-65 year-old men with a tertiary level

NORMCIT_10_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 10 Multidisciplinary

NORMCIT_11_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 11 Agricultural and Biological Sciences (all)

NORMCIT_12_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 12 Arts and Humanities (all)

NORMCIT_13_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 13 Biochemistry, Genetics and Molecular Biology (all)

NORMCIT_14_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 14 Business, Management and Accounting (all)

NORMCIT_15_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 15 Chemical Engineering (all)

NORMCIT_16_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 16 Chemistry (all)

NORMCIT_17_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 17 Computer Science (all)

NORMCIT_18_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 18 Decision Sciences (all)

NORMCIT_19_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 19 Earth and Planetary Sciences (all)

NORMCIT_20_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 20 Economics, Econometrics and Finance (all)

NORMCIT_21_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 21 Energy (all)

NORMCIT_22_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 22 Engineering (all)

NORMCIT_23_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 23 Environmental Science (all)

NORMCIT_24_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 24 Immunology and Microbiology (all)

NORMCIT_25_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 25 Materials Science (all)

NORMCIT_26_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 26 Mathematics (all)

NORMCIT_27_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 27 Medicine (all)

NORMCIT_28_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 28 Neuroscience (all)

NORMCIT_29_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 29 Nursing (all)

NORMCIT_30_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 30 Pharmacology, Toxicology and Pharmaceutics (all)

NORMCIT_31_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 31 Physics and Astronomy (all)

NORMCIT_32_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 32 Psychology (all)

NORMCIT_33_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 33 Social Sciences (all)

NORMCIT_34_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 34 Veterinary (all)

NORMCIT_35_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 35 Dentistry (all)

NORMCIT_36_X: Normalised citation impact, ratio of actual versus expected scientific publications, percentage, 36 Health Professions (all)

NORMCIT_X: Normalised citation impact, ratio of actual versus expected scientific publications, %

OPPORT_XR: Perceived opportunities, % 18-64 years old respondents

OUTFLOW_IMPACT_I: Expected citation impact of scientific authors, by mobility profile: outflows

OUTFLOW_NB: International mobility of scientific authors: outflows

PAT_LGE_XFRMTOT: Firms that applied for patents, LGE, as a percentage of total firms

PAT_MANUF_XFRMTOT: Firms that applied for patents, manufacturing, as a percentage of total firms

PAT_OTH_XFRMTOT: Firms that applied for patents, other sectors, as a percentage of total firms

PAT_SERV_XFRMTOT: Firms that applied for patents, core services, as a percentage of total firms

PAT_SME_XFRMTOT: Firms that applied for patents, SME, as a percentage of total firms

PAT_XFRMTOT: Firms that applied for patents, as a percentage of total firms

PHDENR_ENG_NB: Total doctorate enrolment in engineering manufacturing and construction, number

PHDENR_ENG_XT: PHDs new entrants in engineering, manufacturing and construction, % total new entrants in all fields

PHDENR_ICT_NB: Total doctorate enrolment in ICT, number

PHDENR_ICT_XT: PHDs new entrants in information and communication technologies, % total new entrants in all fields

PHDENR_MEN_NB: Men enroled in doctoral or equivalent level, number

PHDENR_NB: Number of students enrolled in doctoral or equivalent level

PHDENR_NSE_NB: Total doctorate enrolment in natural sciences, mathematics and statistics, number

PHDENR_NSE_XT: PHDs new entrants in natural sciences, mathematics and statistics, % total new entrants in all fields

PHDENR_WOMEN_NB: Women enroled in doctoral or equivalent level, number

PHDGRAD_ENG_XT: PHDs graduatesin engineering, manufacturing and construction, % total graduates in all fields

PHDGRAD_ICT_XT: PHDs graduatesin information and communication technologies, % total graduates in all fields

PHDGRAD_NB: Number of students first time graduate in doctoral or equivalent level

PHDGRAD_SCI_XT: PHDs graduatesin natural sciences, mathematics and statistics, % total graduates in all fields

PRD_LGE_XFRMTOT: Product innovative firms, LGE, as a percentage of total firms

PRD_MANUF_XFRMTOT: Product innovative firms, Manufacturing, as a percentage of total firms

PRD_NORD_XFRMTOT: Product innovative firms, no R&D, as a percentage of total firms

PRD_OTH_XFRMTOT: Product innovative firms, Other sectors, as a percentage of total firms

PRD_RD_XFRMTOT: Product innovative firms, R&D-active (in-house and/or external), as a percentage of total firms

PRD_SERV_XFRMTOT: Product innovative firms, Core services, as a percentage of total firms

PRD_SME_XFRMTOT: Product innovative firms, SME, as a percentage of total firms

PRD_XFRMTOT: Product innovative firms, as a percentage of total firms

PRV_OUT_XINN: Firms co-operating on innovation activities with private business enterprises outside the enterprise group, as a percentage of innovation active firms

PUB_CLCU_XINN: Firms co-operating on innovation activities with clients or customers from the public sector, as a percentage of innovation active firms

RDD_1000GDP: Energy technology RD&D budget per thousand unit of GDP

RDD_EFFICIENCY_PPPK: Total RD&D in Energy efficiency in Million USD (2021 prices and PPP)

RDD_FOSSILFUEL_PPPK: Total RD&D in  Fossil fuels in Million USD (2021 prices and PPP)

RDD_HGENCELL_PPPK: Total RD&D in  Hydrogen and fuel cells in Million USD (2021 prices and PPP)

RDD_MEMOLC_PPPK: Total RD&D in Memo: Low-carbon in Million USD (2021 prices and PPP)

RDD_MEMONLC_PPPK: Total RD&D in Memo: Non-low-carbon in Million USD (2021 prices and PPP)

RDD_NUCLEAR_PPPK: Total RD&D in  Nuclear in Million USD (2021 prices and PPP)

RDD_OTHERPANDS_PPPK: Total RD&D in  Other power and storage technologies in Million USD (2021 prices and PPP)

RDD_OTHERTECH_PPPK: Total RD&D in Other cross-cutting techs/research in Million USD (2021 prices and PPP)

RDD_RENEWABLE_PPPK: Total RD&D in  Renewable energy sources in Million USD (2021 prices and PPP)

RDD_TOTAL_PPPK: Total RD&D in Total budget in Million USD (2021 prices and PPP)

RDD_UNALLOC_PPPK: Total RD&D in  Unallocated in Million USD (2021 prices and PPP)

RETURN_IMPACT_I: Expected citation impact of scientific authors, by mobility profile: returnees

RETURN_NB: International mobility of scientific authors: returnees

RTASPACE: Revealed technology advantage in space-related technologies, over last 4 years

SPACEPAT: Number of IP5 patent families for space-related technology over last 4 years, fractional counts

STAY_IMPACT_I: Expected citation impact of scientific authors, by mobility profile: stayers

STAY_NB: International mobility of scientific authors: stayers

SUP_RNDINN_LGE_XFRMTOT: Large firms receiving government funding OR tax relief for R&D or other innovation activities, as a percentage of total firms

SUP_RNDINN_MANUF_XFRMTOT: Firms receiving government funding OR tax relief for R&D or other innovation activities, manufacturing, as a percentage of total firms

SUP_RNDINN_OTH_XFRMTOT: Firms receiving government funding OR tax relief for R&D or other innovation activities,other sectors, as a percentage of total firms

SUP_RNDINN_SERV_XFRMTOT: Firms receiving government funding OR tax relief for R&D or other innovation activities, core services, as a percentage of total firms

SUP_RNDINN_SME_XFRMTOT: SME receiving government funding OR tax relief for R&D or other innovation activities, as a percentage of total firms

SUP_RNDINN_XFRMTOT: Firms receiving government funding OR tax relief for R&D or other innovation activities, as a percentage of total firms

TERENR_ENG_NB: New entrants to tertiary education in engineering manufacturing and construction, number

TERENR_ENG_XTER: New entrants to tertiary education in engineering manufacturing and construction, % total new entrants in tertiary in all fields

TERENR_ICT_NB: New entrants to tertiary education in ICT, number

TERENR_ICT_XTER: New entrants to tertiary education in ICT, % total new entrants in tertiary in all fields

TERENR_MEN_NB: Number of students enrolled in tertiary education, men

TERENR_NB: Number of students enrolled in tertiary education

TERENR_NSE_NB: New entrants to tertiary education in natural sciences, mathematics and statistics, number

TERENR_NSE_XTER: New entrants to tertiary education in natural sciences, mathematics and statistics, % total new entrants in tertiary in all fields

TERENR_WOMEN_NB: Number of students enrolled in tertiary education, women

TERGRAD_ENG_XT: Graduates to tertiary education in engineering, manufacturing and construction, % total graduates in all fields

TERGRAD_ICT_XT: Graduates to tertiary education in information and communication technologies, % total graduates in all fields

TERGRAD_NSE_XT: Graduates to tertiary education in natural sciences, mathematics and statistics, % total tertiary graduates in all fields

TOP10FPUBS_10_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 10 Multidisciplinary

TOP10FPUBS_11_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 11 Agricultural and Biological Sciences (all)

TOP10FPUBS_12_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 12 Arts and Humanities (all)

TOP10FPUBS_13_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 13 Biochemistry, Genetics and Molecular Biology (all)

TOP10FPUBS_14_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 14 Business, Management and Accounting (all)

TOP10FPUBS_15_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 15 Chemical Engineering (all)

TOP10FPUBS_16_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 16 Chemistry (all)

TOP10FPUBS_1700_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts1700 Computer Science (all)

TOP10FPUBS_1702_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts1702 Artificial Intelligence

TOP10FPUBS_17_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 17 Computer Science (all)

TOP10FPUBS_18_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 18 Decision Sciences (all)

TOP10FPUBS_19_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 19 Earth and Planetary Sciences (all)

TOP10FPUBS_20_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 20 Economics, Econometrics and Finance (all)

TOP10FPUBS_21_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 21 Energy (all)

TOP10FPUBS_22_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 22 Engineering (all)

TOP10FPUBS_23_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 23 Environmental Science (all)

TOP10FPUBS_2400_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts2400 Immunology and Microbiology (all)

TOP10FPUBS_2406_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts2406 Virology

TOP10FPUBS_24_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 24 Immunology and Microbiology (all)

TOP10FPUBS_25_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 25 Materials Science (all)

TOP10FPUBS_26_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 26 Mathematics (all)

TOP10FPUBS_2725_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts2725 Infectious Diseases

TOP10FPUBS_2740_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts2740 Pulmonary and Respiratory Medicine

TOP10FPUBS_27_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 27 Medicine (all)

TOP10FPUBS_28_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 28 Neuroscience (all)

TOP10FPUBS_29_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 29 Nursing (all)

TOP10FPUBS_30_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 30 Pharmacology, Toxicology and Pharmaceutics (all)

TOP10FPUBS_31_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 31 Physics and Astronomy (all)

TOP10FPUBS_32_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 32 Psychology (all)

TOP10FPUBS_33_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 33 Social Sciences (all)

TOP10FPUBS_34_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 34 Veterinary (all)

TOP10FPUBS_35_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 35 Dentistry (all)

TOP10FPUBS_36_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, 36 Health Professions (all)

TOP10FPUBS_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts

TOP10_10_X: Percentage of scientific publications among the world's 10% top-cited publications, 10 Multidisciplinary

TOP10_11_X: Percentage of scientific publications among the world's 10% top-cited publications, 11 Agricultural and Biological Sciences (all)

TOP10_12_X: Percentage of scientific publications among the world's 10% top-cited publications, 12 Arts and Humanities (all)

TOP10_13_X: Percentage of scientific publications among the world's 10% top-cited publications, 13 Biochemistry, Genetics and Molecular Biology (all)

TOP10_14_X: Percentage of scientific publications among the world's 10% top-cited publications, 14 Business, Management and Accounting (all)

TOP10_15_X: Percentage of scientific publications among the world's 10% top-cited publications, 15 Chemical Engineering (all)

TOP10_16_X: Percentage of scientific publications among the world's 10% top-cited publications, 16 Chemistry (all)

TOP10_1700_X: Percentage of scientific publications among the world's 10% top-cited publications1700 Computer Science (all)

TOP10_1702_X: Percentage of scientific publications among the world's 10% top-cited publications1702 Artificial Intelligence

TOP10_17_X: Percentage of scientific publications among the world's 10% top-cited publications, 17 Computer Science (all)

TOP10_18_X: Percentage of scientific publications among the world's 10% top-cited publications, 18 Decision Sciences (all)

TOP10_19_X: Percentage of scientific publications among the world's 10% top-cited publications, 19 Earth and Planetary Sciences (all)

TOP10_20_X: Percentage of scientific publications among the world's 10% top-cited publications, 20 Economics, Econometrics and Finance (all)

TOP10_21_X: Percentage of scientific publications among the world's 10% top-cited publications, 21 Energy (all)

TOP10_22_X: Percentage of scientific publications among the world's 10% top-cited publications, 22 Engineering (all)

TOP10_23_X: Percentage of scientific publications among the world's 10% top-cited publications, 23 Environmental Science (all)

TOP10_2400_X: Percentage of scientific publications among the world's 10% top-cited publications2400 Immunology and Microbiology (all)

TOP10_2406_X: Percentage of scientific publications among the world's 10% top-cited publications2406 Virology

TOP10_24_X: Percentage of scientific publications among the world's 10% top-cited publications, 24 Immunology and Microbiology (all)

TOP10_25_X: Percentage of scientific publications among the world's 10% top-cited publications, 25 Materials Science (all)

TOP10_26_X: Percentage of scientific publications among the world's 10% top-cited publications, 26 Mathematics (all)

TOP10_2725_X: Percentage of scientific publications among the world's 10% top-cited publications2725 Infectious Diseases

TOP10_2740_X: Percentage of scientific publications among the world's 10% top-cited publications2740 Pulmonary and Respiratory Medicine

TOP10_27_X: Percentage of scientific publications among the world's 10% top-cited publications, 27 Medicine (all)

TOP10_28_X: Percentage of scientific publications among the world's 10% top-cited publications, 28 Neuroscience (all)

TOP10_29_X: Percentage of scientific publications among the world's 10% top-cited publications, 29 Nursing (all)

TOP10_30_X: Percentage of scientific publications among the world's 10% top-cited publications, 30 Pharmacology, Toxicology and Pharmaceutics (all)

TOP10_31_X: Percentage of scientific publications among the world's 10% top-cited publications, 31 Physics and Astronomy (all)

TOP10_32_X: Percentage of scientific publications among the world's 10% top-cited publications, 32 Psychology (all)

TOP10_33_X: Percentage of scientific publications among the world's 10% top-cited publications, 33 Social Sciences (all)

TOP10_34_X: Percentage of scientific publications among the world's 10% top-cited publications, 34 Veterinary (all)

TOP10_35_X: Percentage of scientific publications among the world's 10% top-cited publications, 35 Dentistry (all)

TOP10_36_X: Percentage of scientific publications among the world's 10% top-cited publications, 36 Health Professions (all)

TOP10_AI_NBFRAC: Total number of 10% top-cited scientific publications, fractional counts, Artificial Intelligence

TOP10_AI_X: Percentage of scientific publications among the world's 10% top-cited publications, Artificial Intelligence

TOP10_X: Percentage of scientific publications among the world's 10% top-cited publications

TOP10_X_WLD: Total top 10% most cited publications as % of world total top 10% most cited publications (percentages)

TOPMATH: PISA percentage of top performers in mathematics

TOPSCI: PISA percentage of top performers in science

UNIV_XINN: Firms co-operating on innovation activities with universities or other higher education institutions, as a percentage of innovation active firms

WATTAIN_XPHD: Share of women among 25-65 year-old adults with a doctorate

WATTAIN_XTER: Share of women among 25-65 year-old adults with tertiary education

WEMPPHD_XT: Employment rate of women, 25-64 years, with doctorate all fields

WEMPTER_XT: Employment rate of women, 25-64 years, with tertiary education all fields

WEMP_ENG_XT: Employment rate of women, 25-64 years, tertiary education, engineering, manufacturing and construction

WEMP_ICT_XT: Employment rate of women, 25-64 years, tertiary education, ICT

WEMP_NSE_XT: Employment rate of women, 25-64 years, tertiary education, natural sicences mathematics and statistics

WEMP_STEM_XT: Employment rate of women, 25-64 years, tertiary education, Science, technology, engineering, and mathematics (STEM)

WPHDENR_ENG_NB: Women new entrants to doctorate in information and communication technologies, number

WPHDENR_ENG_XENG: Women new entrants to doctorate in engineering, manufacturing and construction, % total new entrants in engineering, manufacturing and construction

WPHDENR_ICT_NB: Woment new entrants to doctorate in information and communication technologies, number

WPHDENR_ICT_XICT: Women new entrants to doctorate in information and communication technologies, % total new entrants in doctorate information and communication technologies

WPHDENR_NSE_NB: Women PHDs new entrants in natural sciences, mathematics and statistics, number

WPHDENR_NSE_XNSE: Women PHDs new entrants in natural sciences, mathematics and statistics, % total new entrants in doctorates in natural sciences, mathematics and statistics

WPHDENR_XT: Women doctorate graduates (ISCED2011 level 8), % of total

WPHDGRAD_ENG_XT: Graduates to doctorate in engineering, manufacturing and construction that are women, % total graduates in engineering, manufacturing and construction that are women

WPHDGRAD_ICT_XT: Graduates to doctorate in information and communication technologies that are women, % total graduates in information and communication technologies

WPHDGRAD_NSE_XT: Women graduates to doctorate in natural sciences, mathematics and statistics, % total graduates  in natural sciences, mathematics and statistics

WPHDGRAD_XT: Graduates to doctorate level that are women, % total graduates in doctorate level

WPUBS_10_NBWHO: Total number of scientific publications, whole counts10 Multidisciplinary

WPUBS_11_NBWHO: Total number of scientific publications, whole counts11 Agricultural and Biological Sciences (all)

WPUBS_12_NBWHO: Total number of scientific publications, whole counts12 Arts and Humanities (all)

WPUBS_13_NBWHO: Total number of scientific publications, whole counts13 Biochemistry, Genetics and Molecular Biology (all)

WPUBS_14_NBWHO: Total number of scientific publications, whole counts14 Business, Management and Accounting (all)

WPUBS_15_NBWHO: Total number of scientific publications, whole counts15 Chemical Engineering (all)

WPUBS_16_NBWHO: Total number of scientific publications, whole counts16 Chemistry (all)

WPUBS_17_NBWHO: Total number of scientific publications, whole counts17 Computer Science (all)

WPUBS_18_NBWHO: Total number of scientific publications, whole counts18 Decision Sciences (all)

WPUBS_19_NBWHO: Total number of scientific publications, whole counts19 Earth and Planetary Sciences (all)

WPUBS_20_NBWHO: Total number of scientific publications, whole counts20 Economics, Econometrics and Finance (all)

WPUBS_21_NBWHO: Total number of scientific publications, whole counts21 Energy (all)

WPUBS_22_NBWHO: Total number of scientific publications, whole counts22 Engineering (all)

WPUBS_23_NBWHO: Total number of scientific publications, whole counts23 Environmental Science (all)

WPUBS_24_NBWHO: Total number of scientific publications, whole counts24 Immunology and Microbiology (all)

WPUBS_25_NBWHO: Total number of scientific publications, whole counts25 Materials Science (all)

WPUBS_26_NBWHO: Total number of scientific publications, whole counts26 Mathematics (all)

WPUBS_27_NBWHO: Total number of scientific publications, whole counts27 Medicine (all)

WPUBS_28_NBWHO: Total number of scientific publications, whole counts28 Neuroscience (all)

WPUBS_29_NBWHO: Total number of scientific publications, whole counts29 Nursing (all)

WPUBS_30_NBWHO: Total number of scientific publications, whole counts30 Pharmacology, Toxicology and Pharmaceutics (all)

WPUBS_31_NBWHO: Total number of scientific publications, whole counts31 Physics and Astronomy (all)

WPUBS_32_NBWHO: Total number of scientific publications, whole counts32 Psychology (all)

WPUBS_33_NBWHO: Total number of scientific publications, whole counts33 Social Sciences (all)

WPUBS_34_NBWHO: Total number of scientific publications, whole counts34 Veterinary (all)

WPUBS_35_NBWHO: Total number of scientific publications, whole counts35 Dentistry (all)

WPUBS_36_NBWHO: Total number of scientific publications, whole counts36 Health Professions (all)

WPUBS_NBWHO: Total number of scientific publications, whole counts

WTERENR_ENG_NB: Women new entrants to tertiary education in engineering manufacturing and construction, number

WTERENR_ENG_XENG: Women new entrants to tertiary education in engineering manufacturing and construction, % total new entrants in engineering manufacturing and construction

WTERENR_ICT_NB: Women new entrants to tertiary education in ICT, number

WTERENR_ICT_XICT: Women new entrants to tertiary education in ICT, % total new entrants in ICT

WTERENR_NSE_NB: Women new entrants to tertiary education in natural sciences, mathematics and statistics, number

WTERENR_NSE_XNSE: Women new entrants to tertiary education in natural sciences, mathematics and statistics, % total new entrants in natural sciences, mathematics and statistics

WTERGRAD_ENG_XT: Graduates to tertiary education in engineering, manufacturing and construction that are women, % total graduates in engineering, manufacturing and construction that are women

WTERGRAD_ICT_XT: Graduates to tertiary education in information and communication technologies that are women, % total graduates in information and communication technologies

WTERGRAD_NSE_XT: Women graduates to tertiary education in natural sciences, mathematics and statistics, % total graduates  in natural sciences, mathematics and statistics

WTER_ENG_XT: Women with  tertiary education level in Engineering, manufacturing & construction, % of 25-65 years old women with a tertary level

WTER_GRAD_XT: Graduates to tertiary education that are women, % total graduates in tertiary education

WTER_ICT_XT: Women with  tertiary education level in ICT, % of 25-65 years old women with a tertary level

WTER_NSE_XT: Women with  tertiary education level in Natural science, mathematics and statistics, % of 25-65 years old women with a tertary level

WTER_STEM_XT: Women with a tertiary Science, technology, engineering, and mathematics (STEM),  % of 25-65 years old women with a tertary level

WTER_XT: New entrants to tertiary education that are women, % total new entrants in tertiary education