[DSD_TOOLKIT_2@DF_GD_BREAKDOWNS_2] Going Digital Toolkit - Data for the breakdown visualisations - part 2

Updated by provider on May 15, 2025 (12:58 PM).

Documentation

[MEASURE] Indicator

[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

[IND10] Fixed broadband subscriptions per 100 inhabitants

[IND11] Mobile broadband subscriptions per 100 inhabitants

[IND13] Share of households with broadband connections

[IND16] Mobile network by technology

[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

[IND30] ICT investment

[IND32] Top 10% most-cited documents

[IND35] Venture capital investments

[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

[IND53] E-waste

[IND54] Individuals who can program

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

[IND58] OECD Digital Government Index

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

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

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

[IND64] Health data sharing intensity

[IND73] OECD Digital Services Trade Restrictiveness Index

[IND80] Ability of adults to identify the veracity of online news

[IND82] Perception of the impact of AI on life

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

[REF_AREA] Country

[ABW] Aruba

[AFG] Afghanistan

[AGO] Angola

[AIA] Anguilla

[ALB] Albania

[AND] Andorra

[ARE] United Arab Emirates

[ARG] Argentina

[ARM] Armenia

[ASM] American Samoa

[ATG] Antigua and Barbuda

[AUS] Australia

[AUT] Austria

[AZE] Azerbaijan

[BDI] Burundi

[BEL] Belgium

[BEN] Benin

[BFA] Burkina Faso

[BGD] Bangladesh

[BGR] Bulgaria

[BHR] Bahrain

[BHS] Bahamas

[BIH] Bosnia and Herzegovina

[BLR] Belarus

[BLZ] Belize

[BMU] Bermuda

[BOL] Bolivia

[BRA] Brazil

[BRB] Barbados

[BRN] Brunei Darussalam

[BTN] Bhutan

[BWA] Botswana

[CAF] Central African Republic

[CAN] Canada

[CHE] Switzerland

[CHL] Chile

[CHN] China (People’s Republic of)

[CIV] Côte d’Ivoire

[CMR] Cameroon

[COD] Democratic Republic of the Congo

[COG] Congo

[COK] Cook Islands

[COL] Colombia

[COM] Comoros

[CPV] Cabo Verde

[CRI] Costa Rica

[CUB] Cuba

[CUW] Curaçao

[CYM] Cayman Islands

[CYP] Cyprus

[CZE] Czechia

[DEU] Germany

[DJI] Djibouti

[DMA] Dominica

[DNK] Denmark

[DOM] Dominican Republic

[DZA] Algeria

[ECU] Ecuador

[EGY] Egypt

[ERI] Eritrea

[ESP] Spain

[EST] Estonia

[ETH] Ethiopia

[EU27] European Union (27 countries)

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

[EU28] European Union (28 countries)

[FIN] Finland

[FJI] Fiji

[FLK] Falkland Islands (Malvinas)

[FRA] France

[FRO] Faroe Islands

[FSM] Micronesia

[GAB] Gabon

[GBR] United Kingdom

[GEO] Georgia

[GGY] Bailiwick of Guernsey

[GHA] Ghana

[GIB] Gibraltar

[GIN] Guinea

[GLP] Guadeloupe

[GMB] Gambia

[GNB] Guinea-Bissau

[GNQ] Equatorial Guinea

[GRC] Greece

[GRD] Grenada

[GRL] Greenland

[GTM] Guatemala

[GUF] French Guiana

[GUM] Guam

[GUY] Guyana

[HKG] Hong Kong (China)

[HND] Honduras

[HRV] Croatia

[HTI] Haiti

[HUN] Hungary

[IDN] Indonesia

[IND] India

[IRL] Ireland

[IRN] Iran

[IRQ] Iraq

[ISL] Iceland

[ISR] Israel

[ITA] Italy

[JAM] Jamaica

[JEY] Jersey

[JOR] Jordan

[JPN] Japan

[KAZ] Kazakhstan

[KEN] Kenya

[KGZ] Kyrgyzstan

[KHM] Cambodia

[KIR] Kiribati

[KNA] Saint Kitts and Nevis

[KOR] Korea

[KWT] Kuwait

[LAO] Lao People’s Democratic Republic

[LBN] Lebanon

[LBR] Liberia

[LBY] Libya

[LCA] Saint Lucia

[LIE] Liechtenstein

[LKA] Sri Lanka

[LSO] Lesotho

[LTU] Lithuania

[LUX] Luxembourg

[LVA] Latvia

[MAC] Macau (China)

[MAR] Morocco

[MCO] Monaco

[MDA] Moldova

[MDG] Madagascar

[MDV] Maldives

[MEX] Mexico

[MHL] Marshall Islands

[MKD] North Macedonia

[MLI] Mali

[MLT] Malta

[MMR] Myanmar

[MNE] Montenegro

[MNG] Mongolia

[MNP] Northern Mariana Islands

[MOZ] Mozambique

[MRT] Mauritania

[MSR] Montserrat

[MTQ] Martinique

[MUS] Mauritius

[MWI] Malawi

[MYS] Malaysia

[MYT] Mayotte

[NAM] Namibia

[NCL] New Caledonia

[NER] Niger

[NGA] Nigeria

[NIC] Nicaragua

[NIU] Niue

[NLD] Netherlands

[NOR] Norway

[NPL] Nepal

[NRU] Nauru

[NZL] New Zealand

[OECD]

[OMN] Oman

[PAK] Pakistan

[PAN] Panama

[PER] Peru

[PHL] Philippines

[PLW] Palau

[PNG] Papua New Guinea

[POL] Poland

[PRI] Puerto Rico

[PRK] Democratic People’s Republic of Korea

[PRT] Portugal

[PRY] Paraguay

[PSE] Palestinian Authority or West Bank and Gaza Strip

[PYF] French Polynesia

[QAT] Qatar

[REU] Réunion

[ROU] Romania

[RUS] Russia

[RWA] Rwanda

[SAU] Saudi Arabia

[SDN] Sudan

[SEN] Senegal

[SGP] Singapore

[SHN] Saint Helena

[SLB] Solomon Islands

[SLE] Sierra Leone

[SLV] El Salvador

[SMR] San Marino

[SOM] Somalia

[SRB] Serbia

[SSD] South Sudan

[STP] Sao Tome and Principe

[SUR] Suriname

[SVK] Slovak Republic

[SVN] Slovenia

[SWE] Sweden

[SWZ] Eswatini

[SXM] Sint Maarten

[SYC] Seychelles

[SYR] Syrian Arab Republic

[TCA] Turks and Caicos Islands

[TCD] Chad

[TGO] Togo

[THA] Thailand

[TJK] Tajikistan

[TKL] Tokelau

[TKM] Turkmenistan

[TLS] Timor-Leste

[TON] Tonga

[TTO] Trinidad and Tobago

[TUN] Tunisia

[TUR] Türkiye

[TUV] Tuvalu

[TWN] Chinese Taipei

[TZA] Tanzania

[UGA] Uganda

[UKR] Ukraine

[URY] Uruguay

[USA] United States

[UZB] Uzbekistan

[VCT] Saint Vincent and the Grenadines

[VEN] Venezuela

[VGB] British Virgin Islands

[VIR] United States Virgin Islands

[VNM] Viet Nam

[VUT] Vanuatu

[WLF] Wallis and Futuna

[WSM] Samoa

[XKV] Kosovo

[YEM] Yemen

[ZAF] South Africa

[ZMB] Zambia

[ZWE] Zimbabwe

[BREAKDOWN] Breakdown

[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

[BUS] National health datasets allowing sharing with businesses

[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

[DATA_DRIVEN] Data-driven public sector

[DIG_DESIGN] Digital by design

[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_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)

[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

[F] Women

[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

[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_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

[F_Y16T74] Female aged 16-74

[F_Y25T54] Female aged 25-54

[F_Y55T74] Female aged 55-74

[F_YOUNG] Female

[GFCF] Gross fixed capital formation

[GOV_BODIES] National health datasets allowing sharing with government bodies

[GOV_PLATFORM] Government as a platform

[HEALTHC_PROV] National health datasets allowing sharing with health care providers

[HFCE] Household final consumption expenditure

[HH_DEG_INT] Households living in small urban areas

[HH_DEG_PRURAL] Households living in rural areas

[HH_DEG_PURBAN] Households living in large urban areas

[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

[HH_TOTAL] All (households)

[HIGH_SK] Highly skilled workers receiving firm-based training

[ICT_CMP] Computer hardware

[ICT_EQP] ICT equipment

[ICT_SFW] Computer software and databases

[ICT_T] ICT (all stages)

[ICT_TLC] Telecommunications equipment

[ICT_TTL] Total ICT investment

[ICT_TTL_GFCF] Total ICT investment as a share of GFCF

[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

[IND_TOTAL] All (individuals aged 16-74)

[IPP_RD] Research and Development

[IPP_TTL] Intellectual property products

[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_ISCED11_5T8] Individuals with tertiary 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

[LATER] Later stage venture

[LMPEXP_11] Placement and related services

[LMPEXP_20] Training

[LMPEXP_40] Employment incentives

[LMPEXP_60] Direct job creation

[LMPEXP_70] Start-up incentives

[LOW] Less than once a week

[LOW_SK] Low skilled workers receiving firm-based training

[M] Men

[MBB_ALL] All subscriptions

[MBB_DO] Data only subscriptions

[MBB_VD] Data and Voice subscriptions

[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

[M_Y16T24] Male aged 16-24

[M_Y16T74] Male aged 16-74

[M_Y25T54] Male aged 25-54

[M_Y55T74] Male aged 55-74

[M_YOUNG] Male

[ON_THE_JOB] Workers receiving on-the-job only training

[OPEN_DEFAULT] Open by default

[OW] At least once a week but not every day

[PC_ALLOWING_SHARING] % allowing some sharing

[PC_SHARING] % of sharing potential

[PROACTIVENESS] Proactiveness

[RETIR_OTHER] Retired and other inactive aged 16-74

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

[SCORE] Composite score

[SEED] Seed

[ST] Students aged 16-74

[START] Start-up and other early stage

[STRI] Indicator DSTRI

[TOTAL] Total trained workforce

[TQ_CD] Contextual deception

[TQ_DISINFO] Disinformation

[TQ_ENV] Environment

[TQ_HEALTH] Health

[TQ_IA] International Affairs

[TQ_MISINFO] Misinformation

[TQ_PROP] Propaganda

[TQ_SATIRE] Satire

[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

[TQ_T] Overall Truth Quest score

[TQ_TRUTH] Truth

[UNE] Unemployed aged 16-74

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

[USER_DRIVEN] User-driven

[Y15T29] 15-29 years old

[Y16T24] Individuals aged 16-24

[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

[Y18T34] Individuals aged 18-34

[Y25T54] Individuals aged 25-54

[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

[Y30T49] 30-49 years old

[Y35T54] Individuals aged 35-54

[Y50T64] 50-64 years old

[Y55T74] Individuals aged 55-74

[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

[Y_GE15] All individuals (aged 15+)

[Y_GE18] All individuals aged 18 or older

[Y_GE55] Individuals aged 55 or older

[Y_GE75] Individuals aged 75 and over

[_T] Total

[UNIT_MEASURE] Unit of measure

[100HB] Per 100 inhabitants

[IX_DIG_GOV] Index: 1=highest digital government maturity

[IX_MAX_RES] Index: 1 = maximum restriction

[KG_10P6USD_B1GQ] Kg per 100k USD of GDP

[KG_PS] Kg per capita

[PT_B1GQ] Share of GDP

[PT_DEMO] Share of each demographic group

[PT_DS] Share of datasets present in each country

[PT_EMP_IND] Share of total employed persons

[PT_EMP_SUB] Share of total employed persons in the same subgroup

[PT_ENT] Share of businesses

[PT_HH] Share of households

[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_P51G] Share of gross fixed capital formation

[PT_POP] Share of the population

[PT_POP_INT_SUB] Share of Internet users in the same subgroup

[PT_POP_SEX_AGE] Share of each age and gender group

[PT_POP_SUB] Share of individuals in the same subgroup

[PT_POP_Y16T65] Share of adults

[PT_POP_Y16T74] Share of individuals aged 16-74

[PT_ST_Y15T16] Share of students aged 15-16

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

[PT_WR] Share of workers

[TQ_SCORE] Score (100 = best performance)

Search filters

Indicator [MEASURE] (28)

Country [REF_AREA] (234)

Breakdown [BREAKDOWN] (201)

Unit of measure [UNIT_MEASURE] (25)

This dataset has 14,973 series:

Trim NA Values

[IND03.AUS.GFCF.PT_P3T6_INFO] Final demand for information industry products as a share of total final demand (IND03) – Australia – Gross fixed capital formation – Share of total final demand for information industry products

from: 2018=44.063

to: 2018=44.063

min:: 44.063

max:: 44.063

avg:: 44.063

σ:: 0

[IND03.AUS.HFCE.PT_P3T6_INFO] Final demand for information industry products as a share of total final demand (IND03) – Australia – Household final consumption expenditure – Share of total final demand for information industry products

from: 2018=51.438

to: 2018=51.438

min:: 51.438

max:: 51.438

avg:: 51.438

σ:: 0

[IND03.AUT.GFCF.PT_P3T6_INFO] Final demand for information industry products as a share of total final demand (IND03) – Austria – Gross fixed capital formation – Share of total final demand for information industry products

from: 2018=55.881

to: 2018=55.881

min:: 55.881

max:: 55.881

avg:: 55.881

σ:: 0

[IND03.AUT.HFCE.PT_P3T6_INFO] Final demand for information industry products as a share of total final demand (IND03) – Austria – Household final consumption expenditure – Share of total final demand for information industry products

from: 2018=34.004

to: 2018=34.004

min:: 34.004

max:: 34.004

avg:: 34.004

σ:: 0

[IND03.BEL.GFCF.PT_P3T6_INFO] Final demand for information industry products as a share of total final demand (IND03) – Belgium – Gross fixed capital formation – Share of total final demand for information industry products

from: 2018=48.072

to: 2018=48.072

min:: 48.072

max:: 48.072

avg:: 48.072

σ:: 0

[IND03.BEL.HFCE.PT_P3T6_INFO] Final demand for information industry products as a share of total final demand (IND03) – Belgium – Household final consumption expenditure – Share of total final demand for information industry products

from: 2018=42.4

to: 2018=42.4

min:: 42.4

max:: 42.4

avg:: 42.4

σ:: 0

[IND03.BRA.GFCF.PT_P3T6_INFO] Final demand for information industry products as a share of total final demand (IND03) – Brazil – Gross fixed capital formation – Share of total final demand for information industry products

from: 2018=45.758

to: 2018=45.758

min:: 45.758

max:: 45.758

avg:: 45.758

σ:: 0

[IND03.BRA.HFCE.PT_P3T6_INFO] Final demand for information industry products as a share of total final demand (IND03) – Brazil – Household final consumption expenditure – Share of total final demand for information industry products

from: 2018=53.227

to: 2018=53.227

min:: 53.227

max:: 53.227

avg:: 53.227

σ:: 0

[IND03.CAN.GFCF.PT_P3T6_INFO] Final demand for information industry products as a share of total final demand (IND03) – Canada – Gross fixed capital formation – Share of total final demand for information industry products

from: 2018=36.747

to: 2018=36.747

min:: 36.747

max:: 36.747

avg:: 36.747

σ:: 0

[IND03.CAN.HFCE.PT_P3T6_INFO] Final demand for information industry products as a share of total final demand (IND03) – Canada – Household final consumption expenditure – Share of total final demand for information industry products

from: 2018=60.56

to: 2018=60.56

min:: 60.56

max:: 60.56

avg:: 60.56

σ:: 0

Series code	2018
[IND03.AUS.GFCF.PT_P3T6_INFO]	44.0631989
[IND03.AUS.HFCE.PT_P3T6_INFO]	51.43757677
[IND03.AUT.GFCF.PT_P3T6_INFO]	55.88104407
[IND03.AUT.HFCE.PT_P3T6_INFO]	34.00441246
[IND03.BEL.GFCF.PT_P3T6_INFO]	48.07241048
[IND03.BEL.HFCE.PT_P3T6_INFO]	42.39957899
[IND03.BRA.GFCF.PT_P3T6_INFO]	45.75802996
[IND03.BRA.HFCE.PT_P3T6_INFO]	53.22650365
[IND03.CAN.GFCF.PT_P3T6_INFO]	36.74686562
[IND03.CAN.HFCE.PT_P3T6_INFO]	60.55997799