B_D: Break; Difference in methodology

B_D_U: Time series break; Definition differs; Low reliability

B_E: Break; Estimated value

B_U: Time series break; Low reliability

C_BE2: The data for the Belgium relate to Flanders only.

C_UKB: The data for the United Kingdom relate to England only.

D_U: Definition differs; Low reliability

M: Missing value: data cannot exist

P: Provisional

Q: Missing value: suppressed

X: This score relating to the indicated 'period' is based on an underlying indicator value carried-forward from 'year_data'. See readme

Z: Nil or less than 0.005

BREAKDOWN: Breakdown

MEASURE: Indicator

REF_AREA: Country

SEX: Gender

Total ICT

High speed network

Imaging and sound technology

Information communication device

Electronic measurement

Others

Mobile communication

Security

Sensor and device network

High speed computing

Large-capacity and high speed storage

Large-capacity information analysis

Cognition and meaning understanding

Human-interface

A3D_B: Businesses with a broadband download speed at least 30 Mbit/s but less than 100 Mbit/s (%)

A3D_E_B: Businesses with a broadband download speed at least 30 Mbit/s (%)

A3E_B: Businesses with a broadband download speed at least 100 Mbit/s (%)

A3F_B: Businesses with a broadband download speed at least 100 Mbit/s but less than 500 Mbit/s (%)

A3G_B: Businesses with a broadband download speed at least 500 Mbit/s but less than 1 Gbit/s (%)

A3H_B: Businesses with a broadband download speed at least 1 Gbit/s (%)

AI_GEN: AI-generated news

AI_NEGATIVE: Perception of AI: Negative

AI_NEUTRAL: Perception of AI: Neither positive nor negative

AI_POSITIVE: Perception of AI: Positive

ASJC_10: Multidisciplinary

ASJC_11: Agricultural & Biological Sciences

ASJC_12: Arts & Humanities

ASJC_13: Biochemistry, Genetics & Molecular Biology

ASJC_14: Business, Management & Accounting

ASJC_15: Chemical Engineering

ASJC_16: Chemistry

ASJC_17: Computer Science

ASJC_18: Decision Sciences

ASJC_19: Earth & Planetary Sciences

ASJC_20: Economics, Econometrics & Finance

ASJC_21: Energy

ASJC_22: Engineering

ASJC_23: Environmental Science

ASJC_24: Immunology & Microbiology

ASJC_25: Materials Science

ASJC_26: Mathematics

ASJC_27: Medicine

ASJC_28: Neuroscience

ASJC_29: Nursing

ASJC_30: Pharmacology, Toxicology & Pharmaceutics

ASJC_31: Physics & Astronomy

ASJC_32: Psychology

ASJC_33: Social Sciences

ASJC_34: Veterinary

ASJC_35: Dentistry

ASJC_36: Health Professions

B1_B: Businesses with a website or home page (%)

B21: Households with broadband Internet access at home

BUS: National health datasets allowing sharing with businesses

B_R_EMPL: Birth rate of employer enterprises

C5B: Individuals using the Internet

C5B1: Individuals using the Internet daily or almost every day

C6E: Individuals using the Internet in mobility

CLAS1_1: Infrastructure and connectivity

CLAS1_2: Electronic transactions

CLAS1_3: Payment system

CLAS1_4: Intellectual property rights

CLAS1_5: Other barriers affecting trade in digitally enabled services

CO2: Carbon dioxide

D1B_B: Businesses receiving orders through the Internet (%)

DATA_DRIVEN: Data-driven public sector

DIG_DESIGN: Digital by design

DXD: Domestic demand

ED: Every day or almost every day

ENT_C: Manufacturing

ENT_F: Construction

ENT_G46: Wholesale trade, except of motor vehicles and motorcycles

ENT_G47: Retail trade, except of motor vehicles and motorcycles

ENT_H: Transportation and storage

ENT_I: Accommodation and food and beverage service activities

ENT_J: Information and communication

ENT_K: Financial and insurance activities

ENT_L: Real estate activities

ENT_M: Professional, scientific and technical activities

ENT_N: Administrative and support service activities

ENT_S0T9: Micro (0 to 9 employees)

ENT_S10T49: Small businesses (10-49 persons employed)

ENT_S50T249: Medium businesses (50-249 persons employed)

ENT_S_GE250: Large businesses (250 persons employed or more)

ENT_T_S_GE10: All businesses (excludes financial sector, 10 persons employed or more)

EU_AND_ROW: Businesses undertaking cross-border e-commerce sales to both EU and the rest of the world

EU_EXCLUS: Businesses undertaking cross-border e-commerce sales to EU countries exclusively

EWASTE_DIFF: Unmanaged e-waste; kg per capita

EWASTE_GENERA: E-waste generated; kg per capita

EWASTE_RECYCL: E-waste collected and recycled; kg per capita

EWASTE_USGDP: E-waste generated; kg per 100k USD of GDP

EXPO: Exports

EXT_EMP: External employees

EXT_ONLY: External employees only

F: Women

F021: Arts

F032: Journalism and information

F05: Natural sciences, mathematics and statistics

F05T07: Science, technology, engineering and mathematics

F06: Information and Communication Technologies (ICTs)

F07: Engineering, manufacturing and construction

F1: Individuals using the Internet for visiting or interacting with public authorities websites

F1A: Individuals using the Internet for obtaining information from public authorities

F1B: Individuals using the Internet for downloading official forms

F1C: Individuals using the Internet for sending filled forms via public authorities websites

FBB_ALL: All subscriptions

FBB_CAB: Cable subscriptions

FBB_DSL: DSL subscriptions

FBB_FIB: Fibre/LAN subscriptions

FBB_FWA: Terrestrial Fixed Wireless subscriptions

FBB_OTH: Other subscriptions

FBB_SAT: Satellite subscriptions

FFD: Foreign final demand

FOREIGN_UNI_NOPROFIT: National health datasets allowing sharing with foreign governments, universities, or non-profit research centres

FORMAL: Workers receiving formal only training

FORMAL_ON_THE_JOB: Workers receiving formal and on-the-job training

F_HI: Female aged 16-74 with a high level of educational attainment

F_INV_ONLY: ICT inventions by women (only)

F_LO: Female aged 16-74 with no or a low level of educational attainment

F_ME: Female aged 16-74 with a middle level of educational attainment

F_Y16T24: Female aged 16-24

G3A_B: Businesses purchasing cloud computing services: E-mail (%)

G3B_B: Businesses purchasing cloud computing services: Office software (%)

G3C_B: Businesses purchasing cloud computing services: Finance or accounting software (%)

G3D_B: Businesses purchasing cloud computing services: Customer Relationship Management (CRM) software (%)

G3E_B: Businesses purchasing cloud computing services: Hosting of databases (%)

G3F_B: Businesses purchasing cloud computing services: Storage of files (%)

G3G_B: Businesses purchasing cloud computing services: Computing power to run own software (%)

G3_B: Businesses purchasing cloud computing services (%)

GOV_BODIES: National health datasets allowing sharing with government bodies

HEALTHC_PROV: National health datasets allowing sharing with health care providers

HH_QNT1: Households with income in first quintile

HH_QNT2: Households with income in second quintile

HH_QNT3: Households with income in third quintile

HH_QNT4: Households with income in fourth quintile

HH_QNT5: Households with income in fifth quintile

HIGH_SK: Highly skilled workers receiving firm-based training

IND_Q1: Individual living in a household with income in first quartile

IND_Q2: Individual living in a household with income in second quartile

IND_Q3: Individual living in a household with income in third quartile

IND_Q4: Individual living in a household with income in fourth quartile

IND_QNT1: Individuals living in a household with income in first quintile

IND_QNT2: Individuals living in a household with income in second quintile

IND_QNT3: Individuals living in a household with income in third quintile

IND_QNT4: Individuals living in a household with income in fourth quintile

IND_QNT5: Individuals living in a household with income in fifth quintile

INTNET_MALE_FEMALE: Disparity in Internet use between men and women

INTNET_URBAN_RURAL: Disparity in broadband uptake between urban and rural households

IT_MOB_2GNTWK: Proportion of population covered by at least 2G

IT_MOB_3GNTWK: Proportion of population covered by at least 3G

IT_MOB_4GNTWK: Proportion of population covered by at least 4G

I_HI: Individuals aged 16-74 with a high level of educational attainment

I_INC_BOT20: Individuals living in low-income households (bottom 20%)

I_INC_MID60: Individuals living in middle-income households (mid  60%)

I_INC_TOP20: Individuals living in high-income households (top 20%)

I_ISCED11_0T2: Individuals with primary, low secondary or no education

I_ISCED11_3T4: Individuals with upper secondary or post-secondary education

I_LO: Individuals aged 16-74 with no or a low level of educational attainment

I_ME: Individuals aged 16-74 with a middle level of educational attainment

LOW_SK: Low skilled workers receiving firm-based training

MED_SK: Medium skilled workers receiving firm-based training

M_HI: Male aged 16-74 with a high level of educational attainment

M_LO: Male aged 16-74 with no or a low level of educational attainment

M_ME: Male aged 16-74 with a middle level of educational attainment

ON_THE_JOB: Workers receiving on-the-job only training

PISA_SARAM: Science, mathematics and reading (all 3 disciplines)

PSTRE: Problem solving in technology-rich environments

ROW_EXCLUS: Businesses undertaking cross-border e-commerce sales to the rest of the world exclusively

SAL_SELF_FAM: Employees, Self-employed and family workers aged 16-74

SH: Charges for the use of intellectual property n.i.e.

SI: Telecommunications, computer, and information services

START_R_EBD: Share of employer start-ups (0-2 year old enterprises) among active employer enterprises

TOT_XBORDER: Businesses undertaking cross-border e-commerce sales

TQ_SCORE_AI_NEGATIVE: Truth Quest score (100 = best performance) for AI-labelled news for those with a negative perception of AI

TQ_SCORE_AI_POSITIVE: Truth Quest score (100 = best performance) for AI-labelled news for those with a positive perception of AI

TQ_SCORE_NEGATIVE: Overall Truth Quest score (100 = best performance) for those with a negative perception of AI

TQ_SCORE_POSITIVE: Overall Truth Quest score (100 = best performance) for those with a positive perception of AI

UNI_NOPROFIT: National health datasets allowing sharing with universities and/or non-profit research centres

VC_ICT: Venture capital investment in the ICT sector

Y16T24HI: Individuals aged 16-24 with a high level of educational attainment

Y16T24LO: Individuals aged 16-24 with no or a low level of educational attainment

Y16T24ME: Individuals aged 16-24 with a middle level of educational attainment

Y25T54HI: Individuals aged 25-54 with a high level of educational attainment

Y25T54LO: Individuals aged 25-54 with no or a low level of educational attainment

Y25T54ME: Individuals aged 25-54 with a middle level of educational attainment

Y55T74HI: Individuals aged 55-74 with a high level of educational attainment

Y55T74LO: Individuals aged 55-74 with no or a low level of educational attainment

Y55T74ME: Individuals aged 55-74 with a middle level of educational attainment

YS1_P_EMPL: Share of 1-year-old employer enterprises in the business population

YS2_P_EMPL: Share of 2-year-old employer enterprises in the business population

HBSC_B1: Share of students who report being victims of cyberbullying at least once in the past couple of months

HBSC_B2: Share of students who report having cyberbullied others at least once in the past couple of months

HBSC_C1: Share of students who report being victims of bullying at least once in the past couple of months

HBSC_C2: Share of students who report having bullied others at least once in the past couple of months

ID0: Share of information industries in total employment

ID1: Labour productivity of information industries relative to other non-agriculture business sector activities

ID10: Fixed broadband subscriptions per 100 inhabitants

ID11: Mobile broadband subscriptions per 100 inhabitants

ID12: M2M (machine-to-machine) SIM cards per 100 inhabitants

ID13: Share of households with broadband connections

ID14: Share of businesses with broadband contracted speed of 30 Mbps or more

ID15: Average monthly mobile data usage per mobile broadband subscription

ID16: Share of the population covered by at least a 4G mobile network

ID17: Disparity in broadband uptake between urban and rural households

ID2: Intermediate consumption of information industry products as a share of total intermediate consumption

ID20: Internet users as a share of individuals

ID21: Share of small businesses making e‑commerce sales

ID22: Share of Internet users who have purchased online

ID23: Share of individuals using the Internet to interact with public authorities

ID24: Share of adults proficient at problem solving in technology-rich environments

ID25: Share of businesses purchasing cloud services

ID3: Final demand for information industry products as a share of total final demand

ID31: Business R&D expenditure in information industries as a share of GDP

ID32: Top 10% most-cited documents in computer science, as a share of the top 10% ranked documents in all fields

ID33: Patents in ICT technologies, as a share of total IP5 patent families

ID34: Start-up firms (up to 2 years old) in information industries as a share of all businesses

ID35: Venture capital investment in the ICT sector as a share of GDP

ID36: Share of VC-funded start-ups in digital-related activities with female founders

ID4: Extended information industries domestic value added footprint as a share of domestic value added of the country

ID41: Digital-intensive sectors' share in total employment

ID42: Public spending on active labour market policies as a share of GDP

ID43: New tertiary graduates in science, technology, engineering and mathematics as a share of new graduates

ID44: Workers receiving employment-based training as a share of total employment

ID5: Share of jobs in information industries that are sustained by foreign final demand

ID50: Share of individuals aged 55-74 years using the Internet

ID51: Share of individuals who live in households with income in the lowest quintile who use the Internet

ID52: Top-performing 15-16 year old students in science, mathematics and reading

ID54: Women as a share of all 16-24 year-olds who can program

ID55: Share of individuals who use digital equipment at work that telework from home once a week or more

ID56: Air pollution from digital-intensive sectors, kg per million USD of value added

ID57: Disparity in Internet use between men and women

ID59: Share of students aged 11, 13 and 15 years who are problematic social media users

ID6: Students aged 15-16 years who feel bad if no Internet connection is available

ID60: Share of enterprises in which own employees carry out ICT security related activities

ID61: Share of Internet users experiencing abuse of personal information or privacy violations

ID62: Share of Internet users not buying online due to payment security concerns

ID63: Share of Internet users not buying online due to concerns about returning products

ID7: Workers experiencing job stress associated with frequent computer use at work

ID70: Digital-intensive services value added embodied in manufacturing exports as a share of manufacturing export value

ID71: Digitally-deliverable services as a share of commercial services trade

ID72: Share of businesses making e-commerce sales that sell across borders

ID73: OECD Digital Services Trade Restrictiveness Index

ID74: OECD Foreign Direct Investment Regulatory Restrictiveness Index

ID75: ICT goods and services as a share of international trade

ID8: Digital-intensive sectors' contribution to value added growth

ID80: Ability of adults to identify the veracity of online news

ID81: Ability of adults to identify online disinformation created by generative AI

ID82: Share of adults who feel AI will have a positive impact on their life

ID83: Share of adults who trust news from social media sites or apps

ID84: Share of adults who avoid using certain websites, apps, or social media due to privacy concerns

IND00: Share of information industries in total employment

IND02: Intermediate consumption of information industry products

IND04: Extended information industries domestic value added footprint

IND05: Jobs in information industries sustained by foreign final demand

IND08: Digital-intensive sectors' contribution to value added growth

IND10: Fixed broadband subscriptions per 100 inhabitants

IND11: Mobile broadband subscriptions per 100 inhabitants

IND12: M2M (machine-to-machine) SIM cards per 100 inhabitants

IND13: Share of households with broadband connections

IND14: Share of businesses with broadband contracted speed of 30 Mbps or more

IND15: Average monthly mobile data usage per mobile broadband subscription

IND17: Disparity in broadband uptake between urban and rural households

IND20: Internet users as a share of individuals

IND21: Share of businesses making e‑commerce sales

IND22: Share of Internet users who have purchased online

IND23: Share of individuals using the Internet to interact with public authorities

IND24: Adults' proficiency in key skills for the digital age

IND25: Share of businesses purchasing cloud services

IND34: Share of start-up firms (up to 2 years old) in the business population

IND41: Digital-intensive sectors' share in total employment

IND42: Public spending on active labour market policies

IND44: Workers receiving employment-based training

IND50: Share of individuals aged 55-74 years using the Internet

IND52: 15 year old students' performance in science mathematics and reading

IND56: Air pollution from digital-intensive sectors

IND57: Disparity in Internet use between men and women

IND60: Share of businesses in which employees carry out ICT security related activities

IND62: Share of Internet users not buying online due to payment security concerns

IND72: Share of businesses making e-commerce sales that sell across borders

IND73: OECD Digital Services Trade Restrictiveness Index

IND74: OECD Foreign Direct Investment Regulatory Restrictiveness Index

IND80: Ability of adults to identify the veracity of online news

IND81: Ability of adults to identify the veracity of online news created by generative AI

IX_DIG_GOV: Index: 1=highest digital government maturity

IX_P_H: Relative productivity per hour worked; other non-agriculture business sector activities = 1.0

PT_B1G_XINFO_P3T6_INFO: Share of total value added from non-information industries embodied in final demand for information industries products

PT_BERD: Share of total business enterprise expenditure on R&D

PT_DS: Share of datasets present in each country

PT_EMP_SUB: Share of total employed persons in the same subgroup

PT_IND_W_ANY: Share of individuals who, at work, use any type of computers, portable devices, computerised equipment or machinery

PT_P3T6_INFO: Share of total final demand for information industry products

PT_POP_INT_3MH: Share of Internet users who did not buy online in the last 3 months

PT_POP_INT_SUB: Share of Internet users in the same subgroup

PT_POP_SUB: Share of individuals in the same subgroup

PT_SER_DIG_D_P6_MAN: Share of domestically produced digital-intensive services embodied in manufacturing exports

PT_TOP_DOC: Share of the top 10% ranked documents in all fields

T_CO2E_10P3USD_B1G: Tonnes of CO2 equivalent per thousand USD value added

name: Going Digital Toolkit - Data for the breakdown visualisations - part 10


OBS_STATUS: Observation status

[A] Normal value

B: Time series break

D: Definition differs

E: Estimated value

K: Data included in another category

O: Missing value

U: Low reliability

W: Includes data from another category

SCOPE: Scope

UNIT_MEASURE: Unit of measure

IND01: Labour productivity of information industries relative to other non-agriculture business sector activities

IND03: Final demand for information industry products as a share of total final demand

IND06: Students aged 15-16 years who feel bad if no Internet connection is available

IND07: Workers experiencing job stress associated with frequent computer use at work

IND51: Share of individuals who live in households with income in the lowest quintile who use the Internet

IND55: Share of individuals who use digital equipment at work that telework from home

IND59: Share of students aged 11, 13 and 15 years who are problematic social media users

IND61: Share of Internet users experiencing abuse of personal information or privacy violations

IND63: Share of Internet users not buying online due to concerns about returning products

IND70: Digital-intensive services value added embodied in manufacturing exports as a share of manufacturing export value

IND84: Share of adults who avoid using certain websites, apps, or social media due to privacy concerns

A2_A3_X: Northern and Central America unspecified

A5_X: Central America and the Caribbean unspecified

A9_X: Latin America and the Caribbean unspecified

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

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

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)

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

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

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_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)

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)

name: Going Digital Toolkit - Data for the breakdown visualisations - part 11

provider_name: Organisation for Economic Co-operation and Development


RESTYPE: Type of restriction

SECTOR: Sector / Industry

ID26: Share of businesses with a web presence

ID30: ICT investment as a share of GDP

ID40: Share of ICT task-intensive jobs

ID53: E-waste generated per capita

ID58: OECD Digital Government Index

ID64: Health data sharing intensity

IND16: Mobile network by technology

IND26: Share of businesses with a web presence

IND30: ICT investment

IND31: Business R&D expenditure

IND32: Top 10% most-cited documents

IND33: Patents in ICT technologies

IND35: Venture capital investments

IND36: Founders of VC-funded start-ups

IND40: ICT task-intensive jobs

IND43: New tertiary graduates

IND53: E-waste

IND54: Individuals who can program

IND58: OECD Digital Government Index

IND64: Health data sharing intensity

IND71: Trade in digitally-deliverable services

IND75: ICT goods and services

IND82: Perception of the impact of AI on life

IND83: Trust in news

[A] America

A2: Northern America

A2XOECD: Non-OECD Northern America

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

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

ABW: Aruba

ACP: ACP

AES: Advanced economies

AFG: Afghanistan

AGO: Angola

AIA: Anguilla

ALA: Åland

ALB: Albania

AND: Andorra

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

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

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

MADCT: More advanced developed countries and territories

OLICWBF: Africa, low income countries (World Bank)

S3: Western Asia / Near and Middle East countries

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

Electric, Electronics and other instruments

ATC25: Primary manufactures, mining and agriculture (ISIC 01-03+05-09+10-25)

BTNX642: Total industry, construction and market services except holding companies

C26: Computer, electronic and optical products

C27T33: Other machinery and transport equipment (ISIC 27-33)

DTF_L: Utilities, construction and real estate (ISIC 35-39+41-43+68)

D_E: Electricity, gas, water supply, sewerage, waste management and remediation services (ISIC 35-39)

F_L: Construction and real estate activities (ISIC 41-43+68)

G: Wholesale and retail trade; repair of motor vehicles and motorcycles

GTI: Wholesale and retail trade; transportation and storage; accommodation and food services (ISIC 45-56)

HMHDI: High and medium-high digital-intensive industries

J: Information and communication (ISIC 58-63)

J58T60: Publishing, audiovisual and broadcasting

J59: Motion picture, video and television programme production, sound recording and music publishing activities

J62: Computer programming, consultancy and related activities

K: Financial and insurance activities (ISIC 64-66)

LMLDI: Low and medium-low digital-intensive industries

M_N: Professional, scientific, technical, administrative and support service activities (ISIC 69-82)

OTT: Public admin; education; health and social work; ars, entertainment and recreation; other services (ISIC 84-98)

name: Going Digital Toolkit - Data for the breakdown visualisations - part 12


dimensions_codes_order: MEASURE REF_AREA AGE SEX UNIT_MEASURE PERIOD

AGE: Age

MEASURE: Hierarchy for CL_COFOG

PERIOD: Period

name: Going Digital Toolkit - Data for the breakdown visualisations - part 13


ACTIVITY: Industry

Communications

Fixed telecoms

Mobile telecoms

Financial services

Total FDI Index

[A] Agriculture, forestry and fishing

B: Mining and quarrying

C10T25: Primary manufactures (ISIC 10-25)

HDI: High digital-intensive industries

HMHDI_X: Other more digital intensive services

INFO: Information industries (ISIC 26+58-63)

INFOX: Non-information industries

J58: Publishing activities

J60: Programming and broadcasting activities

J61: Telecommunications

J62_63: IT and other information services

J63: Information service activities

LDI: Low digital-intensive industries

MLDI: Medium-low digital-intensive industries

_T: Total economy

_Z: Not applicable

name: Going Digital Toolkit - Data for the breakdown visualisations - part 1


F_Y16T74: Female aged 16-74

name: Going Digital Toolkit - Data for the breakdown visualisations - part 2


dimensions_codes_order: MEASURE REF_AREA DOMAIN LEVEL BREAKDOWN UNIT_MEASURE

BREAKDOWN: Gender

DOMAIN: Domain

LEVEL: Level

name: Going Digital Toolkit - Data for the breakdown visualisations - part 3


name: Going Digital Toolkit - Data for the breakdown visualisations - part 4


BHR: Bahrain

BHS: Bahamas

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

name: Going Digital Toolkit - Data for the breakdown visualisations - part 5


dimensions_codes_order: MEASURE REF_AREA BREAKDOWN SEX ACTIVITY UNIT_MEASURE

name: Going Digital Toolkit - Data for the breakdown visualisations - part 6


FLOW: Flow

name: Going Digital Toolkit - Data for the breakdown visualisations - part 7


dimensions_codes_order: MEASURE REF_AREA FIELD LEVEL SEX UNIT_MEASURE

FIELD: Field

LEVEL: Level of education

name: Going Digital Toolkit - Data for the breakdown visualisations - part 8


dimensions_codes_order: MEASURE REF_AREA BREAKDOWN SEX UNIT_MEASURE PERIOD

name: Going Digital Toolkit - Data for the breakdown visualisations - part 9


POLICY: Policy domains

POLICY_ALL: All policy domains included in the dimension

YEAR: Year

A1: Investment; Communications infrastructures and services; Competition; Regional development

A1A: Investment

A1B: Communications infrastructures and services

A1C: Competition

A1D: Regional development

A2A: Investment, Communications infrastructures and services

A2B: Investment, Competition

A2C: Investment, Regional development

A2D: Communications infrastructures and services, Competition

A2F: Competition, Regional development

A3B: Investment, Communications infrastructures and services, Regional development

A3C: Investment, Competition, Regional development

A4A: Investment, Communications infrastructures and services, Competition, Regional development

ACC: Access

I1: Entrepreneurship; SMEs; Competition; Science and technology; Digital government; Sectoral policies and regulation

I1A: Entrepreneurship

I1B: SMEs

I1C: Competition

I1D: Science and technology

I1E: Digital government

I1F: Sectoral policies and regulation

I2A: Entrepreneurship, SMEs

I2B: Entrepreneurship, Competition

I2C: Entrepreneurship, Science and technology

I2D: Entrepreneurship, Digital government

I2E: Entrepreneurship, Sectoral policies and regulation

I2F: SMEs, Competition

I2G: SMEs, Science and technology

I2H: SMEs, Digital government

I2I: SMEs, Sectoral policies and regulation

I2J: Competition, Science and technology

I2K: Competition, Digital government

I2L: Competition, Sectoral policies and regulation

I2M: Science and technology, Digital government

I2N: Science and technology, Sectoral policies and regulation

I2O: Digital government, Sectoral policies and regulation

I3A: Entrepreneurship, SMEs, Competition

I3B: Entrepreneurship, SMEs, Science and technology

I3C: Entrepreneurship, SMEs, Digital government

I3D: Entrepreneurship, SMEs, Sectoral policies and regulation

I3E: Entrepreneurship, Competition, Science and technology

I3F: Entrepreneurship, Competition, Digital government

I3G: Entrepreneurship, Competition, Sectoral policies and regulation

I3H: Entrepreneurship, Science and technology, Digital government

I3I: Entrepreneurship, Science and technology, Sectoral policies and regulation

I3J: Entrepreneurship, Digital government, Sectoral policies and regulation

I3K: SMEs, Competition, Science and technology

I3L: SMEs, Competition, Digital government

I3M: SMEs, Competition, Sectoral policies and regulation

I3N: SMEs, Science and technology, Digital government

I3O: SMEs, Science and technology, Sectoral policies and regulation

I3P: SMEs, Digital government, Sectoral policies and regulation

I3Q: Competition, Science and technology, Digital government

I4A: Entrepreneurship, SMEs, Competition, Science and technology

I4B: Entrepreneurship, SMEs, Competition, Digital government

I4C: Entrepreneurship, SMEs, Competition, Sectoral policies and regulation

I4E: Entrepreneurship, SMEs, Science and technology, Sectoral policies and regulation

I4F: Entrepreneurship, SMEs, Digital government, Sectoral policies and regulation

I4H: Entrepreneurship, Competition, Science and technology, Sectoral policies and regulation

I4I: Entrepreneurship, Competition, Digital government, Sectoral policies and regulation

I4J: Entrepreneurship, Science and technology, Digital government, Sectoral policies and regulation

I4K: SMEs, Competition, Science and technology, Digital government

I5B: Entrepreneurship, SMEs, Competition, Science and technology, Sectoral policies and regulation

I5C: Entrepreneurship, SMEs, Competition, Digital government, Sectoral policies and regulation

I5D: Entrepreneurship, SMEs, Science and technology, Digital government, Sectoral policies and regulation

I5E: Entrepreneurship, Competition, Science and technology, Digital government, Sectoral policies and regulation

I6A: Entrepreneurship, SMEs, Competition, Science and technology, Digital government, Sectoral policies and regulation

INN: Innovation

IX: Index

J1: Labour markets; Skills; Social protection; Tax and benefits; Regional development

J1A: Labour markets

J1B: Skills

J1C: Social protection

J1D: Tax and benefits

J1E: Regional development

J2A: Labour markets, Skills

J2B: Labour markets, Social protection

J2C: Labour markets, Tax and benefits

J2D: Labour markets, Regional development

J2E: Skills, Social protection

J2F: Skills, Tax and benefits

J2G: Skills, Regional development

J2H: Social protection, Tax and benefits

J2I: Social protection, Regional development

J2J: Tax and benefits, Regional development

J3A: Labour markets, Skills, Social protection

J3B: Labour markets, Skills, Tax and benefits

J3C: Labour markets, Skills, Regional development

J3D: Labour markets, Social protection, Tax and benefits

J3E: Labour markets, Social protection, Regional development

J3F: Labour markets, Tax and benefits, Regional development

J3G: Skills, Social protection, Tax and benefits

J3H: Skills, Social protection, Regional development

J3I: Skills, Tax and benefits, Regional development

J3J: Social protection, Tax and benefits, Regional development

J4A: Labour markets, Skills, Social protection, Tax and benefits

J4B: Labour markets, Skills, Social protection, Regional development

J4C: Labour markets, Skills, Tax and benefits, Regional development

J4D: Labour markets, Social protection, Tax and benefits, Regional development

J5A: Labour markets, Skills, Social protection, Tax and benefits, Regional development

JOB: Jobs

M1: Trade; Investment; Financial markets; Competition; Taxation

M1A: Trade

M1B: Investment

M1C: Financial markets

M1D: Competition

M1E: Taxation

M2A: Trade, Investment

M2B: Trade, Financial markets

M2C: Trade, Competition

M2D: Trade, Taxation

M2E: Investment, Financial markets

M2F: Investment, Competition

M2G: Investment, Taxation

M2H: Financial markets, Competition

M2I: Financial markets, Taxation

M2J: Competition, Taxation

M3A: Trade, Investment, Financial markets

M3B: Trade, Investment, Competition

M3C: Trade, Investment, Taxation

M3D: Trade, Financial markets, Competition

M3E: Trade, Financial markets, Taxation

M3F: Trade, Competition, Taxation

M3G: Investment, Financial markets, Competition

M3H: Investment, Financial markets, Taxation

M3I: Investment, Competition, Taxation

M3J: Financial markets, Competition, Taxation

M4A: Trade, Investment, Financial markets, Competition

M4B: Trade, Investment, Financial markets, Taxation

M4C: Trade, Investment, Competition, Taxation

M4D: Trade, Financial markets, Competition, Taxation

M4E: Investment, Financial markets, Competition, Taxation

M5A: Trade, Investment, Financial markets, Competition, Taxation

MAR: Market openness

NDSC: National Digital Strategy Comprehensiveness

S1: Social policies; Skills; Tax and benefits; Environment; Health care; Digital government

S1A: Social policies

S1B: Skills

S1C: Tax and benefits

S1D: Environment

S1E: Health care

S1F: Digital government

S2A: Social policies, Skills

S2B: Social policies, Tax and benefits

S2C: Social policies, Environment

S2D: Social policies, Health care

S2E: Social policies, Digital government

S2F: Skills, Tax and benefits

S2G: Skills, Environment

S2H: Skills, Health care

S2I: Skills, Digital government

S2J: Tax and benefits, Environment

S2K: Tax and benefits, Health care

S2L: Tax and benefits, Digital government

S2M: Environment, Health care

S2N: Environment, Digital government

S2O: Health care, Digital government

S3A: Social policies, Skills, Tax and benefits

S3B: Social policies, Skills, Environment

S3C: Social policies, Skills, Health care

S3D: Social policies, Skills, Digital government

S3E: Social policies, Tax and benefits, Environment

S3F: Social policies, Tax and benefits, Health care

S3G: Social policies, Tax and benefits, Digital government

S3H: Social policies, Environment, Health care

S3I: Social policies, Environment, Digital government

S3J: Social policies, Health care, Digital government

S3K: Skills, Tax and benefits, Environment

S3L: Skills, Tax and benefits, Health care

S3M: Skills, Tax and benefits, Digital government

S3N: Skills, Environment, Health care

S3O: Skills, Environment, Digital government

S3P: Skills, Health care, Digital government

S3Q: Tax and benefits, Environment, Health care

S3R: Tax and benefits, Environment, Digital government

S3S: Tax and benefits, Health care, Digital government

S3T: Environment, Health care, Digital government

S4A: Social policies, Skills, Tax and benefits, Environment

S4B: Social policies, Skills, Tax and benefits, Health care

S4C: Social policies, Skills, Tax and benefits, Digital government

S4D: Social policies, Skills, Environment, Health care

S4E: Social policies, Skills, Environment, Digital government

S4F: Social policies, Skills, Health care, Digital government

S4G: Social policies, Tax and benefits, Environment, Health care

S4H: Social policies, Tax and benefits, Environment, Digital government

S4I: Social policies, Tax and benefits, Health care, Digital government

S4J: Social policies, Environment, Health care, Digital government

S4K: Skills, Tax and benefits, Environment, Health care

S4L: Skills, Tax and benefits, Environment, Digital government

S4M: Skills, Tax and benefits, Health care, Digital government

S4N: Skills, Environment, Health care, Digital government

S4O: Tax and benefits, Environment, Health care, Digital government

S5B: Social policies, Skills, Tax and benefits, Environment, Digital government

S5C: Social policies, Skills, Tax and benefits, Health care, Digital government

S5D: Social policies, Skills, Environment, Health care, Digital government

S5E: Social policies, Tax and benefits, Environment, Health care, Digital government

S6A: Social policies, Skills, Tax and benefits, Environment, Health care, Digital government

SOC: Society

T1: Digital risk management; SMEs; Privacy; Digital security; Consumer protection

T1A: Digital risk management

T2C: Digital risk management, Digital security

T2D: Digital risk management, Consumer protection

T3B: Digital risk management, SMEs, Digital security

T3C: Digital risk management, SMEs, Consumer protection

T3D: Digital risk management, Privacy, Digital security

T3E: Digital risk management, Privacy, Consumer protection

T3F: Digital risk management, Digital security, Consumer protection

T3I: SMEs, Digital security, Consumer protection

T3J: Privacy, Digital security, Consumer protection

T4A: Digital risk management, SMEs, Privacy, Digital security

T4B: Digital risk management, SMEs, Privacy, Consumer protection

T4C: Digital risk management, SMEs, Digital security, Consumer protection

T4D: Digital risk management, Privacy, Digital security, Consumer protection

T4E: SMEs, Privacy, Digital security, Consumer protection

T5A: Digital risk management, SMEs, Privacy, Digital security, Consumer protection

U1: Digital government; Investment; Business dynamism; SMEs; Skill; Security; Privacy

U3A: Digital government, Investment, Business dynamism

U3D: Digital government, Investment, Security

U3F: Digital government, Business dynamism, SMEs

U3G: Digital government, Business dynamism, Skill

U3H: Digital government, Business dynamism, Security

U3I: Digital government, Business dynamism, Privacy

U4A: Digital government, Investment, Business dynamism, SMEs

U4AE: Business dynamism, SMEs, Skill, Security

U4AG: Business dynamism, SMEs, Security, Privacy

U4AH: Business dynamism, Skill, Security, Privacy

U4B: Digital government, Investment, Business dynamism, Skill

U4C: Digital government, Investment, Business dynamism, Security

U4D: Digital government, Investment, Business dynamism, Privacy

U4E: Digital government, Investment, SMEs, Skill

U4F: Digital government, Investment, SMEs, Security

U4G: Digital government, Investment, SMEs, Privacy

U4H: Digital government, Investment, Skill, Security

U4I: Digital government, Investment, Skill, Privacy

U4J: Digital government, Investment, Security, Privacy

U4K: Digital government, Business dynamism, SMEs, Skill

U4L: Digital government, Business dynamism, SMEs, Security

U4M: Digital government, Business dynamism, SMEs, Privacy

U4N: Digital government, Business dynamism, Skill, Security

U4O: Digital government, Business dynamism, Skill, Privacy

U4P: Digital government, Business dynamism, Security, Privacy

U4Q: Digital government, SMEs, Skill, Security

U4R: Digital government, SMEs, Skill, Privacy

U4S: Digital government, SMEs, Security, Privacy

U4T: Digital government, Skill, Security, Privacy

U4U: Investment, Business dynamism, SMEs, Skill

U4V: Investment, Business dynamism, SMEs, Security

U4W: Investment, Business dynamism, SMEs, Privacy

U4X: Investment, Business dynamism, Skill, Security

U4Y: Investment, Business dynamism, Skill, Privacy

U4Z: Investment, Business dynamism, Security, Privacy

U5A: Digital government, Investment, Business dynamism, SMEs, Skill

U5C: Digital government, Investment, Business dynamism, SMEs, Privacy

U5E: Digital government, Investment, Business dynamism, Skill, Privacy

U5F: Digital government, Investment, Business dynamism, Security, Privacy

U5G: Digital government, Investment, SMEs, Skill, Security

U5H: Digital government, Investment, SMEs, Skill, Privacy

U5I: Digital government, Investment, SMEs, Security, Privacy

U5J: Digital government, Investment, Skill, Security, Privacy

U5K: Digital government, Business dynamism, SMEs, Skill, Security

U5L: Digital government, Business dynamism, SMEs, Skill, Privacy

U5M: Digital government, Business dynamism, SMEs, Security, Privacy

U5N: Digital government, Business dynamism, Skill, Security, Privacy

U5O: Digital government, SMEs, Skill, Security, Privacy

U5P: Investment, Business dynamism, SMEs, Skill, Security

U5Q: Investment, Business dynamism, SMEs, Skill, Privacy

U5R: Investment, Business dynamism, SMEs, Security, Privacy

U5S: Investment, Business dynamism, Skill, Security, Privacy

U5T: Investment, SMEs, Skill, Security, Privacy

U5U: Business dynamism, SMEs, Skill, Security, Privacy

U6B: Digital government, Investment, Business dynamism, SMEs, Skill, Privacy

U6C: Digital government, Investment, Business dynamism, SMEs, Security, Privacy

U6D: Digital government, Investment, Business dynamism, Skill, Security, Privacy

U6E: Digital government, Investment, SMEs, Skill, Security, Privacy

U6F: Digital government, Business dynamism, SMEs, Skill, Security, Privacy

U6G: Investment, Business dynamism, SMEs, Skill, Security, Privacy

U7A: Digital government, Investment, Business dynamism, SMEs, Skill, Security, Privacy

Y: The methodology for this indicator can be found in OECD Digital Economy Policy Paper No 324, Assessing national digital strategies and their governance. The underlying policy information used to construct this score is available upon request by contacting GoingDigitalToolkit@oecd.org

name: Going Digital Toolkit Data Kitchen - Data for the National Digital Strategy Comprehensiveness


Domestic tourism

OBS_STATUS2: Observation status 2

UNIT_MULT: Unit multiplier

F: Forecast value

G: Experimental value

[H] Missing value; holiday or weekend

I: Value imputed by a receiving agency

J: Derogation

L: Missing value; data exist but were not collected

M: Missing value; data cannot exist

N: Not significant

P: Provisional value

Q: Missing value; suppressed

S: Strike and other special events

V: Unvalidated value

Units

Tens

Tens of billions

Hundreds of billions

Trillions

Tens of trillions

Hundreds of trillions

Quadrillions

Hundreds

Thousands

Tens of thousands

Hundreds of thousands

Millions

Tens of millions

Hundreds of millions

Billions

description: Domestic tourism comprises the activities of a resident visitor within the country of reference.

ACCOMMODATION_TYPE: Accommodation type

MEASURE: Measure

REF_AREA: Reference area

SOURCE: Source

VISITOR_TYPE: Visitor type

HOTELS: Hotels and similar establishments

PRIVATE: Private accommodation

_O: Other collective accommodation

_T: All means of accommodation

ARRIVALS: Arrivals

CONS: Internal tourism consumption

CONS_O: Other components of tourism consumption

DEPARTURES: Departures

EMP: Tourism employment

EMP_SH: Tourism share of employment (direct)

ENT: Tourism enterprises

EXP: Internal tourism expenditure

EXP_DOM: Domestic tourism expenditure

EXP_INB: Inbound tourism expenditure

EXP_INT: International tourism expenditure

GDP_SH: Tourism share of GDP (direct)

GVA_SH: Tourism share of GVA (direct)

NIGHTS_ACCOM: Nights spent in tourism accommodation establishments

REC_DOM: Domestic tourism receipts

REC_INT: International tourism receipts

TOP_DES: Departures to top destinations

TOP_MKT: Arrivals from top markets

TRIPS: Trips

AR23: Tierra del Fuego, Antártida e Islas del Atlántico Sur

BE10: Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest

BE336: Bezirk Verviers - Deutschsprachige Gemeinschaft

CA1030N: West Coast-Northern Peninsula-Labrador, NL

CA4870N: Athabasca-Grande Prairie-Peace River, AB

CA_MLT_RG_SM: Canada, regions benefitting from multi-region support measures

CN_MLT_RG_SM: China, regions benefitting from multi-region support measures

DE401: Brandenburg an der Havel, Kreisfreie Stadt

DEB36: Neustadt an der Weinstraße, Kreisfreie Stadt

DE_MLT_RG_SM: Germany, regions benefitting from multi-region support measures

EL422: Andros, Thira, Kea, Milos, Mykonos, Naxos, Paros, Syros, Tinos

MD_MLT_RG_SM: Moldova, regions benefitting from multi-region support measures

NL337: Agglomeratie Leiden en Bollenstreek (TL2021)

RS21: The region of Šumadija and Western Serbia

UKE1: East Yorkshire and Northern Lincolnshire

UKF2: Leicestershire, Rutland and Northamptonshire

UKG1: Herefordshire, Worcestershire and Warwickshire

UKI33: Kensington and Chelsea, and Hammersmith and Fulham

UKJ1: Berkshire Buckinghamshire and Oxfordshire

UKK1: Gloucestershire Wiltshire and Bristol/Bath Area

UKK12: Bath and North East Somerset, North Somerset and South Gloucestershire

UKM61: Caithness and Sutherland, and Ross and Cromarty

UKM62: Inverness and Nairn, Moray, Badenoch and Strathspey

UKM63: Lochaber, Skye and Lochalsh, Arran, Cumbrae, and Argyll and Bute

UKM81: East Dunbartonshire, West Dunbartonshire, and Helensburgh and Lomond

UKM83: Inverclyde, East Renfrewshire and Renfrewshire

UKM93: East Ayrshire and North Ayrshire mainland

UKN05: West and South of Northern Ireland (TL2016)

UK_MLT_RG_SM: Ukraine, regions benefitting from multi-region support measures

US081: Johnson City-Kingsport-Bristol (Tri-Cities), TN-VA

US084: Kansas City-Overland Park-Kansas City, MO-KS

US096: Little Rock-North Little Rock-Pine Bluff, AR

US173: Virginia Beach-Norfolk-Newport News, VA-NC

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