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Hungary

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All indicators of the Macroscope base for Hungary, with sources. Below: what past UN and IMF releases projected and what actually happened.

Open on the chartCSV: all factsAPI
Population
9.69M
persons, 1 July, 2023
UN DESA, World Population Prospects 2024
Births
73.3k
births per year, 2025
Eurostat demo_gind (births); KSH (TFR, preliminary)
Total fertility rate
1.31
children per woman, 2025
Eurostat demo_gind (births); KSH (TFR, preliminary)
Median age
43.3
years, 2023
UN DESA, World Population Prospects 2024
International migrants, share
7.1
% of population, 2024
UN DESA, International Migrant Stock 2024
Internet users
93.8
% of population, 2024
World Bank, World Development Indicators
GDP per capita, PPP
41,161
constant 2021 international $, 2025
World Bank, World Development Indicators
Electricity demand per person
5,103
kWh per person a year, 2025
Ember, Yearly Electricity Data

What the data shows

Computed with the same code as the observations under the main chart and in the API (get_insights). Moving together in time does not prove a cause.

How the indicators changed

  • Fertility (TFR): 2.62 in 1950 → 1.31 in 2025 (−50%). Peak: 2.96 in 1954; the latest value is 56% lower. Thresholds: below 2.1 since 1978, below 1.5 since 2024. The trend broke around 1960 and 2009: −0.06 → −0.02 → +0.01 a year.
  • Births: 196k in 1950 → 73.3k in 2025 (−63%). Peak: 223k in 1954; the latest value is 67% lower. The trend broke around 1963 and 1973: −6.39k → +2.6k → −1.7k a year.
  • Population: 9.34M in 1950 → 9.69M in 2023 (+4%). The trend broke around 1956 and 1980: +82.1k → +34.7k → −23.7k a year.
  • Internet: 0% in 1990 → 93.8% in 2024 (+94 pp). Thresholds: above 10% since 2001, above 50% since 2007, above 90% since 2023. Fastest growth in 2003–2008: 21.6% → 61%.
  • Urban share: 53.4% in 1960 → 70.7% in 2025 (+17 pp). The trend broke around 1998 and 2013: +0.27 → +0.48 → +0.02 a year.
  • GDP per person (PPP): 21,297 PPP dollars in 1990 → 41,161 PPP dollars in 2025 (+93%). Low: 18,113 PPP dollars in 1993; +127% since then. The trend broke around 2014: change sped up (+558 → +1,056 a year).
  • GDP growth: on average 1.5% in the 1980s, −0.4% in the 1990s, 2.5% in the 2000s, 2.9% in the 2010s, 1.2% in the 2020s. Lowest: −11.9% in 1991; highest: 7.2% in 2021.
  • Inflation: on average 9.0% in the 1980s, 22.2% in the 1990s, 6.1% in the 2000s, 2.5% in the 2010s, 8.1% in the 2020s. Lowest: −0.2% in 2014; highest: 34.2% in 1991.
  • Net migration: on average −16.7k a year in the 1950s, −0.79k a year in the 1960s, 0.16k a year in the 1970s, −16.5k a year in the 1980s, 15.1k a year in the 1990s, 14.1k a year in the 2000s, 14.8k a year in the 2010s, 30.2k a year in the 2020s.
  • Life expectancy, men: 59.9 years in 1950 → 73.7 years in 2023 (+14 years). Threshold: above 70 years since 2009. The trend broke around 1961 and 1992: +0.62 → −0.06 → +0.29 a year.

What changed at the same time

  • The fastest decline of "Fertility (TFR)" was in 1954–1964: 2.96 → 1.82. Over the same years: births 223k → 132k; population 9.71M → 10.1M; urban share 54.1% (1964); net migration 5.25k a year → −0.74k a year; life expectancy, men 63.5 years → 67 years; no data for the others in those years.
  • Over the last 10 years (2015–2025): fertility (TFR) 1.45 → 1.31; births 92k → 73.3k; population 9.84M (2015); internet 72.8% → 93.8%; urban share 70.5% → 70.7%; GDP per person (PPP) 31,486 PPP dollars → 41,161 PPP dollars; GDP growth 3.7% → 0.4%; inflation −0.1% → 4.4%; net migration 13.9k a year (2015); life expectancy, men 72.2 years (2015).

How the indicators relate

  • Fertility (TFR) and internet (1990–2024, 35 years): levels are barely related (r = −0.16); year-to-year changes show no reliable link (r = 0.36).
  • Fertility (TFR) and urban share (1960–2025, 66 years): levels are strongly related, in opposite directions (r = −0.80); year-to-year changes show no reliable link (r = −0.03). This looks like a shared trend: both change over time, but not in step from year to year.
  • Fertility (TFR) and GDP per person (PPP) (1990–2025, 36 years): levels are barely related (r = −0.12); year-to-year changes show no reliable link (r = 0.08).

Against other countries

  • Fertility (TFR), adjusted for income: countries with the same GDP per person (40,330 PPP dollars) typically have 1.53; here it is 1.55, about the same as most countries at this income (2023, 197 countries).
  • Internet, adjusted for income: countries with the same GDP per person (40,750 PPP dollars) typically have 90.5%; here it is 93.8%, about the same as most countries at this income (2024, 177 countries).
  • Order of events: fertility below 3: already in 1950; fertility below 2.1: 1959; urban majority: already in 1960; half the population online: 2007. Fertility fell below 3 after the urban share passed 50% in 69% of 111 countries where the order is known; median gap 9 years. Fertility fell below 2.1 before half the population went online in 88% of 112 countries where the order is known.

Forecasts vs actual

  • Fertility (TFR): past UN projections. The outcome was below the projection in 6 of 12 revisions (1998–2022) and above in 6; median gap −0.2%.
  • The UN 2002 projection expected this level (1.31) already around 2014: reality is 11 years behind it.
  • The UN 2004 projection expected this level (1.31) already around 2011: reality is 14 years behind it.
  • Fertility (TFR): UN 2024 projection (medium): 2050 — 1.55 (+18% vs 2025), 2100 — 1.59 (+22% vs 2025); low variant for 2100: 1.09.
  • Fertility (TFR): Eurostat projections (EUROPOP). For the latest year with data the outcome was below the projection in 6 of 6 editions (2013–2025) and above in none; median gap −9.3%. The biggest miss: EUROPOP2015 expected 1.64 for 2024; the outcome was 1.41.
  • Births: past UN projections. The outcome was below the projection in 6 of 12 revisions (1998–2022) and above in 6; median gap +0.6%.
  • The UN 1998 projection expected today's level (73.3k, 2025) only by 2030–2035: reality is at least 5 years ahead of it.
  • The UN 2022 projection expected today's level (73.3k, 2025) only after 2050: reality is at least 26 years ahead of it.
  • National statistics for 2025: 73.3k, 13% below the UN 2024 medium variant (84.3k) and below its 95% interval.
  • Births: UN 2024 projection (medium): 2050 — 78.1k (+7% vs 2025), 2100 — 63.7k (−13% vs 2025); low variant for 2100: 25.5k.
  • Population: past UN projections. The outcome was below the projection in 4 of 12 revisions (1998–2022) and above in 8; median gap +1.5%.
  • The UN 2000 projection expected this level (9.69M) already around 2005: reality is 18 years behind it.
  • The UN 2002 projection expected this level (9.69M) already around 2007: reality is 16 years behind it.
  • Population: UN 2024 projection (medium): 2050 — 8.73M (−10% vs 2023), 2100 — 7.46M (−23% vs 2023); low variant for 2100: 5.18M.
  • Why the UN missed the population. The 1998 projection for 2023: 9.01M; the UN's 2024 estimate: 9.69M (+7.5%). Parts of the gap (plus means more people than projected): the starting population +96.1k, births +179k, deaths −43.3k (more deaths than expected), migration +448k; the largest: migration.
  • Why the UN missed the population. The 2010 projection for 2023: 9.78M; the UN's 2024 estimate: 9.69M (−0.9%). Parts of the gap (plus means more people than projected): the starting population −4.6k, births −105k, deaths −22.1k (more deaths than expected), migration +43.4k; the largest: births.
  • Population: Eurostat projections (EUROPOP). For the latest year with data the outcome was below the projection in 7 of 7 editions (2013–2025) and above in none; median gap −1.4%. The biggest miss: EUROPOP2013 expected 9.73M for 2026; the outcome was 9.49M.
  • GDP growth: IMF next-year forecasts (36 editions, 2007–2024). On average the outcome was 0.9 pp below the forecast; below it in 53% of cases; typical error ±2.7 pp. The biggest miss was for 2009: IMF, April 2008 expected 2.5%, the outcome was −6.7%.
  • GDP growth: latest IMF forecast (IMF, April 2026): 2026 — 1.7%, 2028 — 2.3%, 2031 — 2.5%.
  • Inflation: IMF next-year forecasts (36 editions, 2007–2024). On average the outcome was 0.9 pp above the forecast; below it in 39% of cases; typical error ±2.3 pp. The biggest miss was for 2022: IMF, April 2021 expected 3.5%, the outcome was 14.6%.
  • Inflation: latest IMF forecast (IMF, April 2026): 2026 — 3.8%, 2028 — 3.1%, 2031 — 3%.
  • Net migration: past UN projections. The outcome was above the projection in 12 of 12 revisions (1998–2022) and below in none; median difference +27.2k a year. The biggest miss: the 2022 revision expected −157k a year for 2023; the outcome was 49.2k a year.
  • Net migration: UN 2024 projection (medium): 2030 — 12.9k a year, 2050 — 13.5k a year, 2100 — 10.5k a year.
  • Net migration: Eurostat projections (EUROPOP). For the latest year with data the outcome was below the projection in 5 of 6 editions (2013–2025) and above in 1; median gap −15.3k a year. The biggest miss: EUROPOP2019 expected 23.1k a year for 2024; the outcome was 4.13k a year.
  • Life expectancy, men: past UN projections. The outcome was above the projection in 4 of 12 revisions (1998–2022) and below in 8; median difference −0 years. The biggest miss: the 2019 revision expected 73.8 years for 2020–2025; the outcome was 72.4 years (for the years of the period so far).
  • Life expectancy, men: UN 2024 projection (medium): 2030 — 75 years, 2050 — 78.8 years, 2100 — 86.3 years.
  • Life expectancy, men: Eurostat projections (EUROPOP). For the latest year with data the outcome was below the projection in 3 of 5 editions (2015–2025) and above in 2; median gap −0.1 years. The biggest miss: EUROPOP2015 expected 74.6 years for 2024; the outcome was 73.7 years.

Wars and births

  • War of 1956–1956 on the country's territory (UCDP/PRIO; about 3,171 battle deaths). Against peace-time countries whose fertility was close the year before the war (Norway, Finland, Belarus, Romania, Denmark and 5 more), net of each country's pre-war trend: births during the war −13%, 1–5 years after it −35%, 6–10 years after −49%; fertility (children per woman) during the war −0.39, 1–5 years after it −1.04, 6–10 years after −1.72.
  • All wars together: of 101 wars on countries' territory since 1955, births 1–5 years after the end were above comparable peace-time countries in 42% of cases (median −1.6%). No significant post-war rise shows up.

UN projections vs actual

Solid line: actual data, UN WPP 2024 estimates; births and fertility from national statistics from the last year they matched the UN estimate (the UN's figures for the latest years are partly its own projection). Dashed: medium variants of past UN revisions. The table shows what each revision expected for the latest year (or five-year period) with actual data.

Population

persons, 1 July
Hungary: PopulationActual 2023: 9.69M8.5M9M9.5M10M10.5M19902000201020202030
  • Actual
  • UN 1998
  • UN 2000
  • UN 2002
  • UN 2004
  • UN 2006
  • UN 2008
  • UN 2010
  • UN 2012
  • UN 2015
  • UN 2017
  • UN 2019
  • UN 2022
  • UN 2024, medium
ReleaseTarget periodHorizonExpectedActualActual vs expected
UN 1998202325 years9.01M9.69M+7.5%
UN 2000202323 years8.88M9.69M+9.1%
UN 2002202321 years8.95M9.69M+8.2%
UN 2004202319 years9.52M9.69M+1.8%
UN 2006202317 years9.52M9.69M+1.8%
UN 2008202315 years9.7M9.69M−0.1%
UN 2010202313 years9.78M9.69M−0.9%
UN 2012202311 years9.73M9.69M−0.4%
UN 201520238 years9.57M9.69M+1.2%
UN 201720236 years9.51M9.69M+1.8%
UN 201920234 years9.58M9.69M+1.1%
UN 202220231 year10.2M9.69M−4.6%

Births

births per year
Hungary: BirthsActual 2025: 73.3k60k80k100k120k140k19902000201020202030
  • Actual
  • UN 1998
  • UN 2000
  • UN 2002
  • UN 2004
  • UN 2006
  • UN 2008
  • UN 2010
  • UN 2012
  • UN 2015
  • UN 2017
  • UN 2019
  • UN 2022
  • UN 2024, medium
ReleaseTarget periodHorizonExpectedActualActual vs expected
UN 19982020–202524 years77.6k86.6k+11.7%
UN 20002020–202522 years76k86.6k+14%
UN 20022020–202520 years78.6k86.6k+10.2%
UN 20042020–202518 years81.3k86.6k+6.5%
UN 20062020–202516 years84.4k86.6k+2.7%
UN 20082020–202514 years91.2k86.6k−5%
UN 20102020–202512 years97.7k86.6k−11.3%
UN 20122020–202510 years92.7k86.6k−6.6%
UN 20152020–20258 years87.4k86.6k−0.9%
UN 20172020–20256 years84.9k86.6k+2%
UN 20192020–20254 years89k86.6k−2.6%
UN 202220253 years97k73.3k−24.4%

Total fertility rate

children per woman
Hungary: Total fertility rateActual 2025: 1.3111.21.41.61.8219902000201020202030
  • Actual
  • UN 1998
  • UN 2000
  • UN 2002
  • UN 2004
  • UN 2006
  • UN 2008
  • UN 2010
  • UN 2012
  • UN 2015
  • UN 2017
  • UN 2019
  • UN 2022
  • UN 2024, medium
ReleaseTarget periodHorizonExpectedActualActual vs expected
UN 19982020–202524 years1.521.51−0.7%
UN 20002020–202522 years1.481.51+2.5%
UN 20022020–202520 years1.511.51+0.1%
UN 20042020–202518 years1.461.51+3.9%
UN 20062020–202516 years1.461.51+3.9%
UN 20082020–202514 years1.521.51−0.4%
UN 20102020–202512 years1.591.51−4.9%
UN 20122020–202510 years1.531.51−1%
UN 20152020–20258 years1.461.51+3.7%
UN 20172020–20256 years1.451.51+4.2%
UN 20192020–20254 years1.541.51−1.9%
UN 202220253 years1.591.31−17.5%

Deaths

thousand deaths per year
Hungary: DeathsActual 2023: 12812013014015016019902000201020202030
  • Actual
  • UN 1998
  • UN 2000
  • UN 2002
  • UN 2004
  • UN 2006
  • UN 2008
  • UN 2010
  • UN 2012
  • UN 2015
  • UN 2017
  • UN 2019
  • UN 2022
  • UN 2024, medium
ReleaseTarget periodHorizonExpectedActualActual vs expected
UN 19982015–202020 years130131+0.2%
UN 20002015–202018 years125131+4.7%
UN 20022015–202016 years126131+3.6%
UN 20042015–202014 years129131+1.1%
UN 20062015–202012 years129131+0.9%
UN 20082015–202010 years131131−0.3%
UN 20102015–20208 years130131+0.3%
UN 20122015–20206 years134131−2.3%
UN 20152015–20202 years131131−0.6%
UN 20172015–20200 years126131+3.8%
UN 202220231 year128128+0.3%

Infant mortality

deaths under age 1 per 1,000 live births
Hungary: Infant mortalityActual 2023: 3.20510152019902000201020202030
  • Actual
  • UN 1998
  • UN 2000
  • UN 2002
  • UN 2004
  • UN 2006
  • UN 2008
  • UN 2010
  • UN 2012
  • UN 2015
  • UN 2017
  • UN 2019
  • UN 2022
  • UN 2024, medium
ReleaseTarget periodHorizonExpectedActualActual vs expected
UN 19982015–202020 years8.23.6−55.8%
UN 20002015–202018 years6.73.6−46.4%
UN 20022015–202016 years6.83.6−46.9%
UN 20042015–202014 years6.43.6−43.4%
UN 20062015–202012 years5.93.6−39.1%
UN 20082015–202010 years5.93.6−39.1%
UN 20102015–20208 years4.93.6−25.8%
UN 20122015–20206 years4.43.6−18.7%
UN 20152015–20202 years4.23.6−14.5%
UN 20172015–20200 years4.23.6−14.2%
UN 202220231 year33.2+7.7%

Net migration

persons per year
Hungary: Net migrationActual 2023: 49.2k−200k0200k400k600k800k19902000201020202030
  • Actual
  • UN 1998
  • UN 2000
  • UN 2002
  • UN 2004
  • UN 2006
  • UN 2008
  • UN 2010
  • UN 2012
  • UN 2015
  • UN 2017
  • UN 2019
  • UN 2022
  • UN 2024, medium
ReleaseTarget periodHorizonExpectedActualActual vs expected
UN 19982020–2025*24 years033.2k+33k a year
UN 20002020–2025*22 years033.2k+33k a year
UN 20022020–2025*20 years1k33.2k+32k a year
UN 20042020–2025*18 years10k33.2k+23k a year
UN 20062020–2025*16 years10k33.2k+23k a year
UN 20082020–2025*14 years15k33.2k+18k a year
UN 20102020–2025*12 years15k33.2k+18k a year
UN 20122020–2025*10 years15k33.2k+18k a year
UN 20152020–2025*8 years6k33.2k+27k a year
UN 20172020–2025*6 years6k33.2k+27k a year
UN 20192020–2025*4 years6k33.2k+27k a year
UN 202220231 year−157k49.2k+206k a year

Life expectancy at birth, women

years
Hungary: Life expectancy at birth, womenActual 2023: 80.272747678808219902000201020202030
  • Actual
  • UN 1998
  • UN 2000
  • UN 2002
  • UN 2004
  • UN 2006
  • UN 2008
  • UN 2010
  • UN 2012
  • UN 2015
  • UN 2017
  • UN 2019
  • UN 2022
  • UN 2024, medium
ReleaseTarget periodHorizonExpectedActualActual vs expected
UN 19982020–2025*24 years78.179.1+0.9 yrs
UN 20002020–2025*22 years79.779.1−0.6 yrs
UN 20022020–2025*20 years79.679.1−0.5 yrs
UN 20042020–2025*18 years8079.1−0.9 yrs
UN 20062020–2025*16 years79.879.1−0.7 yrs
UN 20082020–2025*14 years79.879.1−0.7 yrs
UN 20102020–2025*12 years8079.1−0.9 yrs
UN 20122020–2025*10 years79.879.1−0.7 yrs
UN 20152020–2025*8 years79.779.1−0.6 yrs
UN 20172020–2025*6 years80.179.1−1 yrs
UN 20192020–2025*4 years80.779.1−1.6 yrs
UN 202220231 year80.380.2−0.1 yrs

Life expectancy at birth, men

years
Hungary: Life expectancy at birth, menActual 2023: 73.7606570758019902000201020202030
  • Actual
  • UN 1998
  • UN 2000
  • UN 2002
  • UN 2004
  • UN 2006
  • UN 2008
  • UN 2010
  • UN 2012
  • UN 2015
  • UN 2017
  • UN 2019
  • UN 2022
  • UN 2024, medium
ReleaseTarget periodHorizonExpectedActualActual vs expected
UN 19982020–2025*24 years71.972.4+0.5 yrs
UN 20002020–2025*22 years72.272.4+0.2 yrs
UN 20022020–2025*20 years72.172.4+0.3 yrs
UN 20042020–2025*18 years72.872.4−0.4 yrs
UN 20062020–2025*16 years72.572.40 yrs
UN 20082020–2025*14 years72.572.40 yrs
UN 20102020–2025*12 years72.872.4−0.4 yrs
UN 20122020–2025*10 years72.172.4+0.4 yrs
UN 20152020–2025*8 years72.772.4−0.3 yrs
UN 20172020–2025*6 years73.372.4−0.9 yrs
UN 20192020–2025*4 years73.872.4−1.4 yrs
UN 202220231 year73.873.7−0.1 yrs

* The five-year period is not over: the projection is compared with the mean of its years so far (UN facts end in 2023).

IMF forecasts vs actual

Solid line: actual values from the latest IMF edition (data get revised, so we use the newest). Dashed: April editions, current year and five years ahead. The table covers next-year forecasts from all editions: mean error shows bias, mean absolute error shows accuracy.

Real GDP growth

% per year
Hungary: Real GDP growthActual 2025: 0.4−10−505102000200520102015202020252030
  • Actual (IMF)
  • WEO, April editions
IndicatorForecastsMean errorMean absolute errorActual below forecast
Real GDP growth36−0.9 pp2.7 pp53%
Inflation36+0.9 pp2.3 pp39%
Unemployment rate29−0.7 pp1 pp66%
Government gross debt28+0.6 pp3.2 pp54%
Government budget balance29−0.8 pp1.5 pp52%

All indicators

Demography

Population

9.69M persons, 1 July latest value, 2023

Hungary: Population1950: 9.34M; 2023: 9.69M05M10M15M19501975200020252050

Population on 1 July. UN estimate to 2023, medium variant from 2024; past UN revisions for forecast checks.

Source: UN DESA, World Population Prospects 2024

Births

73.3k births per year latest value, 2025

Hungary: Births1950: 196k; 2025: 73.3k050k100k150k200k250k19501975200020252050

Live births per calendar year. UN WPP 2024 and national statistics (64 countries, 2015-2025).

Source: Eurostat demo_gind (births); KSH (TFR, preliminary)

Deaths

128 thousand deaths per year latest value, 2023

Hungary: Deaths1950: 107; 2023: 12805010015020019501975200020252050

Deaths per calendar year (UN estimate to 2023, medium variant from 2024); past UN revisions for forecast checks.

Source: UN DESA, World Population Prospects 2024

Natural change

−42.7 thousand persons per year latest value, 2023

Hungary: Natural change1950: 89.7; 2023: −42.705010015019501975200020252050

Births minus deaths in the year (UN). Negative: natural decrease, more deaths than births.

Source: UN DESA, World Population Prospects 2024

Rate of natural change

−4.4 per 1,000 population per year latest value, 2023

Hungary: Rate of natural change1950: 9.6; 2023: −4.405101519501975200020252050

Births minus deaths in the year per 1,000 people (UN). With the net migration rate it makes up population growth.

Source: UN DESA, World Population Prospects 2024

Life expectancy at 65

17.2 years latest value, 2023

Hungary: Life expectancy at 651950: 13.1; 2023: 17.2051015202519501975200020252050

Years a person aged 65 would still live at the mortality rates of the year; both sexes (UN).

Source: UN DESA, World Population Prospects 2024

Infant mortality

3.2 deaths under age 1 per 1,000 live births latest value, 2023

Hungary: Infant mortality1950: 84.9; 2023: 3.202040608010019501975200020252050

Children per 1,000 live births who die before their first birthday (UN); past UN revisions for forecast checks.

Source: UN DESA, World Population Prospects 2024

Total fertility rate

1.31 children per woman latest value, 2025

Hungary: Total fertility rate1950: 2.62; 2025: 1.310.001.002.003.0019501975200020252050

Average number of children a woman would have at the age-specific fertility rates of the year.

Source: Eurostat demo_gind (births); KSH (TFR, preliminary)

Life expectancy at birth, women

80.2 years latest value, 2023

Hungary: Life expectancy at birth, women1950: 64.3; 2023: 80.202040608010019501975200020252050

Years a newborn girl would live at the mortality rates of the year (UN).

Source: UN DESA, World Population Prospects 2024

Life expectancy at birth, men

73.7 years latest value, 2023

Hungary: Life expectancy at birth, men1950: 59.9; 2023: 73.702040608019501975200020252050

Years a newborn boy would live at the mortality rates of the year (UN).

Source: UN DESA, World Population Prospects 2024

Median age

43.3 years latest value, 2023

Hungary: Median age1950: 29.1; 2023: 43.30102030405019501975200020252050

Age that divides the population in two halves (UN).

Source: UN DESA, World Population Prospects 2024

Mean age of mothers at childbirth

30 years latest value, 2023

Hungary: Mean age of mothers at childbirth1950: 27.2; 2023: 3001020304019501975200020252050

Mean age of mothers at the birth of their children of any order (UN).

Source: UN DESA, World Population Prospects 2024

Sex ratio at birth

105.9 boys per 100 girls latest value, 2023

Hungary: Sex ratio at birth1950: 107.3; 2023: 105.905010015019501975200020252050

Boys born per 100 girls born (UN).

Source: UN DESA, World Population Prospects 2024

Fertility: first births

0.74 first children per woman latest value, 2020

Hungary: Fertility: first births1952: 0.96; 2020: 0.7400.511.51960197019801990200020102020

First children a woman would have at the age-specific rates of first births of the year (at most one). With second and later births it adds up to the total fertility rate. Human Fertility Database (July 2025 release, Our World in Data copy).

Source: Human Fertility Database, period fertility by birth order (July 2025 release, Our World in Data copy)

Mean age at first birth

28.4 years latest value, 2020

Hungary: Mean age at first birth1960: 22.9; 2020: 28.401020301960197019801990200020102020

Mean age of mothers at the birth of their first child (adjusted for the age structure of women). Human Fertility Database, summary indicators.

Source: Human Fertility Database, summary indicators (HFDLite)

Completed cohort fertility

1.66 children per woman; year = birth year of women latest value, 1976

Hungary: Completed cohort fertility1935: 1.97; 1976: 1.6600.511.522.5195019551960196519701975

Children per woman born in a given year by the end of childbearing (observed to age 44 or more). The year is the birth year of the women, not a calendar year. Human Fertility Database.

Source: Human Fertility Database, summary indicators (HFDLite)

Childlessness by cohort

17.8 % of women; year = birth year of women latest value, 1976

Hungary: Childlessness by cohort1937: 8.7; 1976: 17.805101520195019551960196519701975

Share of women born in a given year who had no live births (observed to age 44 or more). The year is the birth year of the women. Human Fertility Database, which advises caution with cohort parity distributions.

Source: Human Fertility Database, summary indicators (HFDLite)

First child by age 26

24.5 % of women; year = birth year of women latest value, 1994

Hungary: First child by age 261937: 75.7; 1994: 24.502040608019501960197019801990

Share of women born in a given year who had a first child by the end of the year they turned 26 (26.5 on average): cumulative first births per woman × 100, from birth registers. The year is the birth year of the women; only cohorts already past that age, no projection. Human Fertility Database (ccfrVHbo).

Source: Human Fertility Database, cumulative cohort fertility by age and birth order (ccfrVHbo, OWID download of 22 October 2025)

First child by age 30

40.7 % of women; year = birth year of women latest value, 1990

Hungary: First child by age 301937: 85.9; 1990: 40.702040608010019501960197019801990

Share of women born in a given year who had a first child by the end of the year they turned 30 (30.5 on average), from birth registers. The year is the birth year of the women; only cohorts already past that age. Human Fertility Database (ccfrVHbo).

Source: Human Fertility Database, cumulative cohort fertility by age and birth order (ccfrVHbo, OWID download of 22 October 2025)

Excess deaths

−4.6 % above the 2015-2019 trend latest value, 2025

Hungary: Excess deaths2020: 8.3; 2025: −4.60510152020202025

How many percent more deaths (minus: fewer) the year had than the straight line through 2015-2019 of the same country. Macroscope's calculation from the Human Mortality Database: weekly deaths (Short-Term Mortality Fluctuations, ISO years scaled to 52.18 weeks), annual deaths where those are missing; no ageing adjustment beyond the trend, so the further from 2019, the rougher the estimate.

Source: Human Mortality Database, weekly deaths (Short-Term Mortality Fluctuations, September 2026 release, Our World in Data copy); excess deaths: Macroscope's calculation

Births: long series

92.3 thousand births per year latest value, 2020

Hungary: Births: long series1950: 195.6; 2020: 92.305010015020025019501960197019801990200020102020

Live births per year from the Human Mortality Database, from the first year it publishes (Sweden 1749, France 1806, Denmark 1835), within the borders of the time. United Kingdom from 1922; Germany before 1990 = East plus West. Where it overlaps the UN series (from 1950) it usually differs by less than 1%.

Source: Human Mortality Database, live births (September 2025 release, Our World in Data copy)

Crude birth rate: long series

9.5 births per 1,000 people a year latest value, 2020

Hungary: Crude birth rate: long series1950: 20.9; 2020: 9.5051015202519501960197019801990200020102020

Live births per 1,000 people. Macroscope's calculation from the Human Mortality Database: births divided by the mean of the populations on 1 January of the year and of the next. Starts when HMD publishes the population (Sweden 1751, France 1816). In years of border changes the divisor mixes the old and new territory.

Source: Human Mortality Database: births per 1,000 people, Macroscope's calculation (births: September 2025 release, Our World in Data copy; population: mean of 1 January of the year and the next, HMD summary tables)

Total fertility rate (HFD)

1.56 children per woman latest value, 2020

Hungary: Total fertility rate (HFD)1950: 2.6; 2020: 1.56012319501960197019801990200020102020

Children a woman would have at the age-specific fertility rates of the year. Human Fertility Database: official summary tables from 1960; earlier years from the Our World in Data copy of the same database (Sweden 1891, Denmark 1916, USA 1933, France 1946). May differ slightly from the UN estimate.

Source: Human Fertility Database, summary indicators (HFDLite)

Crude marriage rate

4.84 marriages per 1,000 people latest value, 2025

Hungary: Crude marriage rate1950: 11.38; 2025: 4.8405101519501960197019801990200020102020

Marriages in the year per 1,000 people: marriages from national offices (Korea, Japan, Taiwan, China, the USA, the UK, Russia, Brazil and others, where they publish more than the international databases), Eurostat and the UN, divided by the UN WPP 2024 population. Where most births are within marriage, marriages come before births.

Source: National statistics (ksh.hu)

Marriages

46.6k marriages a year latest value, 2025

Hungary: Marriages1950: 106k; 2025: 46.6k050k100k150k19501960197019801990200020102020

Marriages in the year (couples). National offices (Korea, Japan, Taiwan, China, the USA, the UK, Russia, Brazil and others), Eurostat for Europe, the UN for the rest; by year of registration or of occurrence, as each country counts.

Source: National statistics (ksh.hu)

Adolescent fertility rate

17.4 births per 1,000 women aged 15-19 latest value, 2024

Hungary: Adolescent fertility rate1960: 51.7; 2024: 17.40204060801960197019801990200020102020

Births to women aged 15-19 per 1,000 women of that age (World Bank, from UN World Population Prospects).

Source: World Bank, World Development Indicators

Old-age dependency

33.3 persons 65+ per 100 aged 20-64 latest value, 2020

Hungary: Old-age dependency1950: 13.2; 2020: 33.3020406019501975200020252050

Persons aged 65+ per 100 aged 20-64, every five years (UN).

Source: UN DESA, World Population Prospects 2024

Children under 15

1,403 thousand persons, 1 July latest value, 2023

Hungary: Children under 151950: 2,328; 2023: 1,40301,0002,0003,00019501975200020252050

Children aged 0-14 on 1 July: the sum of the five-year groups 0-4, 5-9 and 10-14 (UN; estimate to 2023, medium variant from 2024).

Source: UN DESA, World Population Prospects 2024

Children under 5

462 thousand persons, 1 July latest value, 2023

Hungary: Children under 51950: 825; 2023: 46202004006008001,00019501975200020252050

Children aged 0-4 on 1 July (UN; estimate to 2023, medium variant from 2024).

Source: UN DESA, World Population Prospects 2024

People aged 65 and over

2,017 thousand persons, 1 July latest value, 2023

Hungary: People aged 65 and over1950: 729; 2023: 2,01705001,0001,5002,0002,50019501975200020252050

People aged 65 and over on 1 July: the sum of the five-year groups from 65-69 to 100+ (UN; estimate to 2023, medium variant from 2024).

Source: UN DESA, World Population Prospects 2024

People aged 80 and over

461 thousand persons, 1 July latest value, 2023

Hungary: People aged 80 and over1950: 83; 2023: 461020040060080019501975200020252050

People aged 80 and over on 1 July: the sum of the five-year groups from 80-84 to 100+ (UN; estimate to 2023, medium variant from 2024).

Source: UN DESA, World Population Prospects 2024

Fertility of native-born mothers

1.47 children per woman latest value, 2024

Hungary: Fertility of native-born mothers2013: 1.36; 2024: 1.4700.511.5220152020

Total fertility rate of women born in the country. Macroscope's calculation from Eurostat data: births by age and country of birth of the mother divided by women of the same age and country of birth (checked against the official TFR: median deviation 0.3%). Eurostat publishes no such series; small groups (under 5,000 births a year) are left out.

Source: Eurostat, demography and migration

Migration

Net migration

49.2k persons per year latest value, 2023

Hungary: Net migration1950: 1.22k; 2023: 49.2k−150k−100k−50k050k19501975200020252050

Immigrants minus emigrants per year (UN estimate and projection). Past UN revisions for forecast checks.

Source: UN DESA, World Population Prospects 2024

Net migration rate

5.08 per 1,000 population per year latest value, 2023

Hungary: Net migration rate1950: 0.13; 2023: 5.08−15−10−5051019501975200020252050

Immigrants minus emigrants per year per 1,000 people: UN net migration divided by the population on 1 July. Comparable across countries of any size.

Source: UN DESA, World Population Prospects 2024

Personal remittances received

2.3 % of GDP latest value, 2025

Hungary: Personal remittances received1995: 0.3; 2025: 2.3012341995200020052010201520202025

Money sent home by people working or living abroad, percent of the receiving country's GDP (World Bank, from IMF balance of payments data).

Source: World Bank, World Development Indicators

International migrants, share

7.1 % of population latest value, 2024

Hungary: International migrants, share1990: 3.3; 2024: 7.1024681990199520002005201020152020

People born in another country (foreign citizens where birthplace is not recorded) as a share of the population at mid-year (UN, every five years and 2024).

Source: UN DESA, International Migrant Stock 2024

International migrant stock

690k persons latest value, 2024

Hungary: International migrant stock1990: 348k; 2024: 690k0200k400k600k800k1990199520002005201020152020

Number of people born in another country (or foreign citizens) living in the country at mid-year (UN).

Source: UN DESA, International Migrant Stock 2024

Emigrants, share

5.6 % of home population latest value, 2024

Hungary: Emigrants, share1990: 3.4; 2024: 5.602461990199520002005201020152020

People from the country (born there or its citizens) living in other countries, as a percentage of the population living in the country (UN, International Migrant Stock 2024).

Source: UN DESA, International Migrant Stock 2024

Emigrant stock

539k persons latest value, 2024

Hungary: Emigrant stock1990: 355k; 2024: 539k0200k400k600k1990199520002005201020152020

Number of people from the country (born there or its citizens) living in other countries at mid-year (UN).

Source: UN DESA, International Migrant Stock 2024

Refugees hosted

71.3k persons, end of year latest value, 2025

Hungary: Refugees hosted1989: 27k; 2025: 71.3k020k40k60k80k1990200020102020

Refugees under UNHCR's mandate (incl. people in refugee-like situations) and other people in need of international protection living in the country; asylum-seekers and internally displaced people are not included.

Source: UNHCR Refugee Data Finder

Refugees hosted per 1,000 people

7.4 per 1,000 population latest value, 2025

Hungary: Refugees hosted per 1,000 people1989: 2.6; 2025: 7.4024681990200020102020

Refugees under UNHCR's mandate and other people in need of international protection living in the country, per 1,000 people (population: UN WPP 2024).

Source: UNHCR Refugee Data Finder

Refugees from the country

2.06k persons, end of year latest value, 2025

Hungary: Refugees from the country1965: 3.27k; 2025: 2.06k02k4k6k197019801990200020102020

Refugees and other people in need of international protection from the country living abroad (UNHCR). Palestine refugees under UNRWA's mandate are not included, so the figure for Palestine is far too low.

Source: UNHCR Refugee Data Finder

Refugees from the country per 1,000 people

0.2 per 1,000 population of the country latest value, 2025

Hungary: Refugees from the country per 1,000 people1965: 0.3; 2025: 0.200.20.40.6197019801990200020102020

Refugees and other people in need of international protection from the country per 1,000 people living in it (UNHCR; population: UN WPP 2024). UNRWA refugees not included.

Source: UNHCR Refugee Data Finder

Births to foreign-born mothers

4.8 % of births latest value, 2024

Hungary: Births to foreign-born mothers2013: 4.9; 2024: 4.801234520152020

Share of live births to mothers born in another country, among births with a known country of birth of the mother: Europe from Eurostat (demo_facbc), Australia and Canada from their national offices (Canada: among all births).

Source: Eurostat, demography and migration

Asylum applications

0.01 first-time applicants per 1,000 people latest value, 2025

Hungary: Asylum applications2013: 1.88; 2025: 0.0105101520201520202025

People who applied for asylum for the first time in the year (Eurostat, migr_asyappctza) per 1,000 people (population: UN WPP 2024). Europe only.

Source: Eurostat, demography and migration

Ordered to leave

9,080 persons a year latest value, 2025

Hungary: Ordered to leave2008: 4,205; 2025: 9,08005,00010,00015,0002010201520202025

Non-EU citizens ordered to leave the country in the year: decisions on illegal stay (Eurostat, migr_eiord). These are orders, not removals: some leave later, some stay. Europe only.

Source: Eurostat, demography and migration

Returned after an order to leave

4,335 persons a year latest value, 2025

Hungary: Returned after an order to leave2008: 1,745; 2025: 4,33502,0004,0006,0002010201520202025

Non-EU citizens who left the country in the year after an order to leave, forced or voluntary, to any destination (Eurostat, migr_eirtn). A return may follow an order of an earlier year. Europe only.

Source: Eurostat, demography and migration

Resettled refugees

0 persons a year latest value, 2025

Hungary: Resettled refugees2008: 0; 2025: 00246810122010201520202025

People resettled to the country in the year from third countries (usually referred by UNHCR), Eurostat, migr_asyresa. Excludes relocation within the EU. Europe only.

Source: Eurostat, demography and migration

Citizens under temporary protection in Europe

0.1 thousand persons, end of year latest value, 2026

Hungary: Citizens under temporary protection in Europe2022: 0; 2026: 0.10000.10.10.10.120202025

Citizens of the country under temporary protection in the EU, Iceland, Liechtenstein, Norway and Switzerland (all 31 report from 2022), end of December. For the running year: the latest month all have published. Granted from March 2022 to people fleeing the war in Ukraine: almost all are Ukrainians; for other countries, their citizens who lived in Ukraine. Eurostat, migr_asytpsm.

Source: Eurostat, beneficiaries of temporary protection at the end of June 2026 (latest month published; the year is not over)

Temporary protection hosted per 1,000 people

4.8 per 1,000 population latest value, 2026

Hungary: Temporary protection hosted per 1,000 people2022: 3; 2026: 4.801234520202025

People under EU temporary protection (fleeing the war in Ukraine) living in the country at the end of December, per 1,000 people. Running year: latest month published. Eurostat, migr_asytpsm; population: UN WPP 2024. EU, Iceland, Liechtenstein, Norway, Switzerland.

Source: Eurostat, beneficiaries of temporary protection at the end of August 2026 (latest month published; the year is not over)

Asylum applications worldwide

0.01 new applications per 1,000 people latest value, 2025

Hungary: Asylum applications worldwide2000: 0.76; 2025: 0.0105101520200020052010201520202025

New asylum applications lodged in the country in the year per 1,000 people (UNHCR; cases where a country counts cases rather than people; population: UN WPP 2024). All countries; for Europe there is also Eurostat's series of first-time applicants.

Source: UNHCR Refugee Data Finder

Immigration rate

9.1 per 1,000 people a year latest value, 2024

Hungary: Immigration rate1995: 1.5; 2024: 9.10246810199520002005201020152020

Immigrants in the year per 1,000 people (population: UN WPP 2024): Europe by registration data (Eurostat, migr_imm8); Russia (from 2011), Türkiye, Australia, New Zealand, Korea and Kazakhstan from their national offices, each by its own rule (12 of 16 months in Australia and New Zealand, 90 days in Korea, registration for 9 months or more in Russia).

Source: Eurostat, demography and migration

Emigration rate

8.7 per 1,000 people a year latest value, 2024

Hungary: Emigration rate1995: 0.3; 2024: 8.70246810199520002005201020152020

Emigrants in the year per 1,000 people (population: UN WPP 2024): Europe by registration data (Eurostat, migr_emi2); Russia (from 2011), Türkiye, Australia, New Zealand, Korea, Kazakhstan and Canada (from 2016) from their national offices, each by its own rule. Departures are recorded less completely than arrivals.

Source: Eurostat, demography and migration

Economy

GDP per capita, PPP

41,161 constant 2021 international $ latest value, 2025

Hungary: GDP per capita, PPP1990: 21,297; 2025: 41,161010,00020,00030,00040,00050,00019901995200020052010201520202025

Gross domestic product per person at purchasing power parity, constant 2021 international dollars (World Bank, ICP).

Source: World Bank, World Development Indicators

Real GDP growth

0.4 % per year latest value, 2025

Hungary: Real GDP growth1980: 0.2; 2025: 0.4−15−10−5051019801990200020102020

Annual change of GDP at constant prices. Actual values and forecasts from IMF WEO editions.

Source: IMF World Economic Outlook, April 2026

Inflation

4.4 % per year, average latest value, 2025

Hungary: Inflation1980: 9.3; 2025: 4.4−1001020304019801990200020102020

Change of the annual average consumer price index (IMF WEO).

Source: IMF World Economic Outlook, April 2026

Government gross debt

75.2 % of GDP latest value, 2025

Hungary: Government gross debt1995: 83.9; 2025: 75.20204060801001995200020052010201520202025

General government gross debt, percent of GDP (IMF WEO).

Source: IMF World Economic Outlook, April 2026

Unemployment rate

4.3 % of labour force latest value, 2025

Hungary: Unemployment rate1980: 0.6; 2025: 4.305101519801990200020102020

Unemployed as a share of the labour force (IMF WEO; national definitions).

Source: IMF World Economic Outlook, April 2026

Unemployment, ILO estimate

4.5 % of labour force latest value, 2025

Hungary: Unemployment, ILO estimate1991: 8.5; 2025: 4.50510151995200020052010201520202025

Unemployed as a share of the labour force by the ILO's single definition: a modelled estimate for every country, including those without surveys (via the World Bank). Unlike the IMF series, one definition for all, but no projections.

Source: World Bank, World Development Indicators

Youth unemployment, 15-24

14.2 % of labour force aged 15-24 latest value, 2025

Hungary: Youth unemployment, 15-241991: 16.8; 2025: 14.201020301995200020052010201520202025

Unemployed as a share of the labour force aged 15-24 (ILO modelled estimate, via the World Bank).

Source: World Bank, World Development Indicators

GDP per capita, US dollars

25,826 current US dollars latest value, 2025

Hungary: GDP per capita, US dollars1980: 2,159; 2025: 25,826010,00020,00030,00019801990200020102020

GDP per person in current US dollars at market exchange rates (IMF WEO).

Source: IMF World Economic Outlook, April 2026

Government budget balance

−4.7 % of GDP latest value, 2025

Hungary: Government budget balance1995: −8.6; 2025: −4.7−10−8−6−4−201995200020052010201520202025

General government net lending (+, surplus) or borrowing (−, deficit), percent of GDP (IMF WEO).

Source: IMF World Economic Outlook, April 2026

Current account balance

1.5 % of GDP latest value, 2024

Hungary: Current account balance1980: −4.8; 2024: 1.5−15−10−50519801990200020102020

Balance of trade in goods and services, income and transfers with the rest of the world, percent of GDP: plus means the country earns abroad more than it spends (IMF WEO).

Source: IMF World Economic Outlook, April 2026

Real house prices

205.9 index, 2010 = 100 latest value, 2025

Hungary: Real house prices1992: 106; 2025: 205.90501001502002501995200020052010201520202025

House prices adjusted for consumer price inflation (BIS index from national sources, 2010 = 100, mean of four quarters). Compare the changes, not the levels of different countries.

Source: BIS, selected residential property prices

Society

Urban population

70.7 % of population latest value, 2025

Hungary: Urban population1960: 53.4; 2025: 70.70204060801960197019801990200020102020

Share of people living in urban areas as defined by national statistical offices (World Bank, from UN World Urbanization Prospects).

Source: World Bank, World Development Indicators

Tertiary enrolment, women

67.8 % gross latest value, 2024

Hungary: Tertiary enrolment, women2001: 47.6; 2024: 67.80204060802005201020152020

Women enrolled in tertiary education as a share of women in the five-year age group after secondary school; can exceed 100 (UNESCO).

Source: World Bank, World Development Indicators

Women with upper secondary education

81.2 % of women 25+ latest value, 2023

Hungary: Women with upper secondary education1970: 13; 2023: 81.2020406080100197019801990200020102020

Share of women aged 25+ who completed at least upper secondary education (UNESCO).

Source: World Bank, World Development Indicators

Female labour force participation

54.3 % of women 15+ latest value, 2025

Hungary: Female labour force participation1990: 46.1; 2025: 54.3020406019901995200020052010201520202025

Share of women aged 15+ who work or look for work (ILO modelled estimate, via the World Bank).

Source: World Bank, World Development Indicators

Life expectancy at birth

76.7 years latest value, 2024

Hungary: Life expectancy at birth1960: 68; 2024: 76.70204060801960197019801990200020102020

Life expectancy at birth, both sexes (World Bank, from UN and national statistics).

Source: World Bank, World Development Indicators

Digitalisation

Internet users

93.8 % of population latest value, 2024

Hungary: Internet users1990: 0; 2024: 93.80204060801001990199520002005201020152020

Share of individuals who used the Internet in the last three months from any device. ITU data.

Source: World Bank, World Development Indicators

Mobile cellular subscriptions

104.6 per 100 people latest value, 2024

Hungary: Mobile cellular subscriptions1960: 0; 2024: 104.60501001501960197019801990200020102020

Active mobile cellular subscriptions per 100 people; can exceed 100 when people have several SIM cards. ITU data.

Source: World Bank, World Development Indicators

Fixed broadband subscriptions

37.5 subscriptions per 100 people latest value, 2024

Hungary: Fixed broadband subscriptions2000: 0; 2024: 37.501020304020002005201020152020

Fixed subscriptions to high-speed Internet (256 kbit/s or more) per 100 people. ITU data.

Source: World Bank, World Development Indicators

Generative AI use, age 16–74

29.56 % of individuals aged 16–74 latest value, 2025

Hungary: Generative AI use, age 16–742025: 29.56; 2025: 29.56010203020202025

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Use of generative AI tools: in the last 3 months.

Source: Eurostat: internet activities and generative AI use

Generative AI for private use, age 16–74

20.81 % of individuals aged 16–74 latest value, 2025

Hungary: Generative AI for private use, age 16–742025: 20.81; 2025: 20.81051015202520202025

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Use of generative AI tools: for private purposes.

Source: Eurostat: internet activities and generative AI use

Generative AI for work, age 16–74

14.86 % of individuals aged 16–74 latest value, 2025

Hungary: Generative AI for work, age 16–742025: 14.86; 2025: 14.8605101520202025

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Use of generative AI tools: for professional (work) purposes.

Source: Eurostat: internet activities and generative AI use

Generative AI for formal education, age 16–74

8.29 % of individuals aged 16–74 latest value, 2025

Hungary: Generative AI for formal education, age 16–742025: 8.29; 2025: 8.29024681020202025

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Use of generative AI tools: for formal education.

Source: Eurostat: internet activities and generative AI use

Social networking, age 16–74

78.66 % of individuals aged 16–74 latest value, 2025

Hungary: Social networking, age 16–742011: 50.76; 2025: 78.66020406080100201520202025

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: participating in social networks (creating user profile, posting messages or other contributions to facebook, twitter, etc.).

Source: Eurostat: internet activities and generative AI use

Instant messaging, age 16–74

74.51 % of individuals aged 16–74 latest value, 2025

Hungary: Instant messaging, age 16–742019: 68.47; 2025: 74.5102040608010020202025

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: instant messaging, i.e. exchanging messages, for example, via Skype, Messenger, WhatsApp, Viber.

Source: Eurostat: internet activities and generative AI use

Internet calls, age 16–74

66.6 % of individuals aged 16–74 latest value, 2025

Hungary: Internet calls, age 16–742008: 20.6; 2025: 66.60204060802010201520202025

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: telephoning or video calls.

Source: Eurostat: internet activities and generative AI use

Online news, age 16–74

73.24 % of individuals aged 16–74 latest value, 2025

Hungary: Online news, age 16–742013: 60.45; 2025: 73.24020406080100201520202025

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: reading online news sites/newspapers/news magazines.

Source: Eurostat: internet activities and generative AI use

Podcasts, age 16–74

27.11 % of individuals aged 16–74 latest value, 2024

Hungary: Podcasts, age 16–742022: 21.38; 2024: 27.1101020302020

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: listening to or downloading podcasts (last 3 months).

Source: Eurostat: internet activities and generative AI use

Playing or downloading games, age 16–74

26.2 % of individuals aged 16–74 latest value, 2024

Hungary: Playing or downloading games, age 16–742016: 31.47; 2024: 26.20102030402020

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: playing or downloading games.

Source: Eurostat: internet activities and generative AI use

Online music and downloads, age 16–74

66.3 % of individuals aged 16–74 latest value, 2024

Hungary: Online music and downloads, age 16–742020: 58.58; 2024: 66.30204060802020

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: listening to music (e.g. web radio, music streaming) or downloading music.

Source: Eurostat: internet activities and generative AI use

Streamed TV and video, age 16–74

78.73 % of individuals aged 16–74 latest value, 2024

Hungary: Streamed TV and video, age 16–742016: 55.72; 2024: 78.730204060802020

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: watching internet streamed TV or videos.

Source: Eurostat: internet activities and generative AI use

Internet TV, age 16–74

44 % of individuals aged 16–74 latest value, 2024

Hungary: Internet TV, age 16–742016: 16.86; 2024: 4401020304050602020

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: watching internet streamed TV (live or catch-up) from TV broadcasters.

Source: Eurostat: internet activities and generative AI use

Video on demand, age 16–74

48.16 % of individuals aged 16–74 latest value, 2024

Hungary: Video on demand, age 16–742016: 6.1; 2024: 48.16010203040502020

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: watching video on demand from commercial services.

Source: Eurostat: internet activities and generative AI use

Video-sharing services, age 16–74

72.31 % of individuals aged 16–74 latest value, 2024

Hungary: Video-sharing services, age 16–742016: 53.68; 2024: 72.310204060802020

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: watching video content from sharing services.

Source: Eurostat: internet activities and generative AI use

Online courses, age 16–74

23.93 % of individuals aged 16–74 latest value, 2025

Hungary: Online courses, age 16–742007: 2.27; 2025: 23.9305101520252010201520202025

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: doing an online course (of any subject).

Source: Eurostat: internet activities and generative AI use

Email, age 16–74

72.79 % of individuals aged 16–74 latest value, 2025

Hungary: Email, age 16–742004: 20.39; 2025: 72.7902040608010020052010201520202025

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Internet use: sending/receiving e-mails.

Source: Eurostat: internet activities and generative AI use

Daily internet use, age 16–74

86.51 % of individuals aged 16–74 latest value, 2025

Hungary: Daily internet use, age 16–742004: 17.66; 2025: 86.5102040608010020052010201520202025

Eurostat survey, all individuals aged 16–74, both sexes, not only internet users. Use during the last three months; year denotes survey year. Categories overlap; gaps and definition changes are not filled, source flags are retained in the typed dataset. Frequency of internet access: daily.

Source: Eurostat: internet activities and generative AI use

TikTok: monthly recipients, DSA H1 2025

3.4 million recipients latest value, 2025

Hungary: TikTok: monthly recipients, DSA H1 20252025: 3.4; 2025: 3.40123420202025

TikTok DSA report for January–June 2025 (15 April 2026 version), Annex H, pp.26–27. Average monthly active recipients in each of the 27 EU member states, rounded to 100,000 (expressed here in millions). A recipient may access from several countries: country values are not summed as unique people. Provider DSA estimate, not a survey, daily audience, population percentage or count of all residents. The annual chart point represents only H1 2025; other services and periods have their own definitions.

Source: TikTok: DSA Transparency Report, January–June 2025

At least basic digital skills: low education, ages 16–74

35.48 % of individuals in the stated group latest value, 2025

Hungary: At least basic digital skills: low education, ages 16–742021: 25.77; 2025: 35.4801020304020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

At least basic digital skills: high education, ages 16–74

84.47 % of individuals in the stated group latest value, 2025

Hungary: At least basic digital skills: high education, ages 16–742021: 76.19; 2025: 84.4702040608010020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

Above basic digital skills: ages 16–74

34.05 % of individuals in the stated group latest value, 2025

Hungary: Above basic digital skills: ages 16–742021: 21.54; 2025: 34.0501020304020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

At least basic digital skills: ages 16–74

57.32 % of individuals in the stated group latest value, 2025

Hungary: At least basic digital skills: ages 16–742021: 49.09; 2025: 57.32020406020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

Communication: at least basic digital skills: ages 16–74

89.57 % of individuals in the stated group latest value, 2025

Hungary: Communication: at least basic digital skills: ages 16–742021: 87.06; 2025: 89.5702040608010020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

Content creation: at least basic skills: ages 16–74

62.31 % of individuals in the stated group latest value, 2025

Hungary: Content creation: at least basic skills: ages 16–742021: 59.1; 2025: 62.3102040608020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

Information literacy: at least basic skills: ages 16–74

86.77 % of individuals in the stated group latest value, 2025

Hungary: Information literacy: at least basic skills: ages 16–742021: 85.15; 2025: 86.7702040608010020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

Problem solving: at least basic digital skills: ages 16–74

83.45 % of individuals in the stated group latest value, 2025

Hungary: Problem solving: at least basic digital skills: ages 16–742021: 76.78; 2025: 83.4502040608010020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

Safety: at least basic digital skills: ages 16–74

80.01 % of individuals in the stated group latest value, 2025

Hungary: Safety: at least basic digital skills: ages 16–742021: 66.99; 2025: 80.0102040608010020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

At least basic digital skills: ages 16–24

76.32 % of individuals in the stated group latest value, 2025

Hungary: At least basic digital skills: ages 16–242021: 68.57; 2025: 76.3202040608020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

At least basic digital skills: ages 65–74

24.63 % of individuals in the stated group latest value, 2025

Hungary: At least basic digital skills: ages 65–742021: 19; 2025: 24.63010203020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

Generative AI use: low education, ages 16–74

21.88 % of individuals in the stated group latest value, 2025

Hungary: Generative AI use: low education, ages 16–742025: 21.88; 2025: 21.88051015202520202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

Generative AI use: high education, ages 16–74

45.12 % of individuals in the stated group latest value, 2025

Hungary: Generative AI use: high education, ages 16–742025: 45.12; 2025: 45.120102030405020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

Generative AI use: ages 16–24

62.88 % of individuals in the stated group latest value, 2025

Hungary: Generative AI use: ages 16–242025: 62.88; 2025: 62.8802040608020202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

Generative AI use: ages 65–74

5.52 % of individuals in the stated group latest value, 2025

Hungary: Generative AI use: ages 65–742025: 5.52; 2025: 5.52024620202025

Eurostat survey of individuals aged 16–74; percent of everyone in the stated group, not only internet users. Survey year. DSI 2.0 is a proxy based on reported activities in five areas, not an examination; at least basic overall skills require at least basic skills in all five areas. Education: ISCED 0–2, 3–4, 5–8. Other group characteristics are not controlled. AI use refers to the last three months; purposes can overlap. Source flags and missing values retained; groups and components must not be added.

Source: Eurostat: digital skills and AI by population group

Snapchat: monthly recipients, H1 2026

1.07 million monthly recipients latest value, 2026

Hungary: Snapchat: monthly recipients, H1 20262026: 1.07; 2026: 1.0700.511.520202025

Snap DSA: average monthly active recipients in January–June 2026, provider estimates. Not daily users, population penetration or advertising reach. Source unit: recipients; displayed in millions. The annual CSV rounds to four decimals; the typed dataset retains the original count. The EU total is separately reported; country values are not added. Snap warns in its H1 2025 report that calculations change and figures are not intended for comparison between periods. This is one snapshot, with no growth rate or comparison to other services’ audiences.

Source: Snapchat: DSA H1 2026

Energy

Electricity demand per person

5,103 kWh per person a year latest value, 2025

Hungary: Electricity demand per person1990: 3,814; 2025: 5,10302,0004,0006,00019901995200020052010201520202025

Electricity demand (generation plus net imports, Ember) divided by the UN WPP 2024 population. A physical measure that is hard to dress up.

Source: Ember, Yearly Electricity Data

Electricity demand growth

0.9 % per year latest value, 2025

Hungary: Electricity demand growth1991: −5.8; 2025: 0.9−10−5051995200020052010201520202025

Change in electricity demand from the previous year (Ember). Useful to set against official GDP growth.

Source: Ember, Yearly Electricity Data

Wind and solar share of electricity

28.6 % of generation latest value, 2025

Hungary: Wind and solar share of electricity1990: 0; 2025: 28.6010203019901995200020052010201520202025

Share of wind and solar power in electricity generation (Ember).

Source: Ember, Yearly Electricity Data

Low-carbon share of electricity

75.3 % of generation latest value, 2025

Hungary: Low-carbon share of electricity1990: 49; 2025: 75.302040608019901995200020052010201520202025

Share of renewables and nuclear power in electricity generation (Ember).

Source: Ember, Yearly Electricity Data

Coal share of electricity

3.4 % of generation latest value, 2025

Hungary: Coal share of electricity1990: 30.1; 2025: 3.401020304019901995200020052010201520202025

Share of coal power in electricity generation (Ember).

Source: Ember, Yearly Electricity Data

Carbon intensity of electricity

163 g CO2e per kWh latest value, 2025

Hungary: Carbon intensity of electricity1990: 415; 2025: 163010020030040050019901995200020052010201520202025

Greenhouse gas emissions of electricity generation per kilowatt-hour (Ember).

Source: Ember, Yearly Electricity Data

Electricity generation

40.2 TWh per year latest value, 2025

Hungary: Electricity generation1990: 28.4; 2025: 40.20102030405019901995200020052010201520202025

Total electricity generation in the country (Ember). Imports are excluded. A volume, not the share of a fuel.

Source: Ember, Yearly Electricity Data

Electricity generation emissions

6.5 Mt CO2e per year latest value, 2025

Hungary: Electricity generation emissions1990: 11.8; 2025: 6.50510152019901995200020052010201520202025

Greenhouse gas emissions of electricity generation (Ember), not of the whole economy.

Source: Ember, Yearly Electricity Data

Security

Military expenditure

2.2 % of GDP latest value, 2024

Hungary: Military expenditure1970: 4; 2024: 2.2012345197019801990200020102020

Government military expenditure, percent of GDP (World Bank, from SIPRI).

Source: World Bank, World Development Indicators

Deaths in organised violence

0 persons a year latest value, 2025

Hungary: Deaths in organised violence1989: 0; 2025: 0011990200020102020

Deaths in state-based conflict, non-state conflict and one-sided violence against civilians, by where the events took place (UCDP GED, best estimate). 0 means no organised violence above UCDP thresholds (25 deaths a year in one conflict). Events in Gaza and the West Bank are counted for Palestine.

Source: Uppsala Conflict Data Program (UCDP), GED 26.1

Deaths in organised violence per 100,000

0 per 100,000 people a year latest value, 2025

Hungary: Deaths in organised violence per 100,0001989: 0; 2025: 0011990200020102020

Deaths in organised violence (UCDP GED) per 100,000 people (population: UN WPP 2024).

Source: Uppsala Conflict Data Program (UCDP), GED 26.1

Armed conflict in the country

0 0 none, 1 minor, 2 war latest value, 2025

Hungary: Armed conflict in the country1946: 0; 2025: 001122319501960197019801990200020102020

Strongest armed conflict of the year in which the government or territory of the country is disputed (UCDP/PRIO ACD): 1 = 25-999 battle-related deaths, 2 = war, 1,000 or more. In interstate conflicts every primary party is marked even if the fighting was elsewhere (the USA in Iraq, 2003). Historical states are mapped to present-day countries by territory (USSR, Yugoslavia, South Vietnam and others).

Source: UCDP/PRIO Armed Conflict Dataset 26.1

Battle deaths

0 persons a year latest value, 2025

Hungary: Battle deaths1946: 0; 2025: 001,0002,0003,0004,00019501960197019801990200020102020

Soldiers and civilians killed in combat in state-based armed conflicts on the territory of the country. 1946-1988: PRIO Battle Deaths (best estimate, else the low one; a conflict of several countries split equally); from 1989: UCDP GED by place of the events. For the same conflicts in 1989-2008 PRIO is 1.6 times UCDP, so the drop in 1989 is partly a change of source. One-sided violence against civilians is not included.

Source: Uppsala Conflict Data Program (UCDP), GED 26.1

Battle deaths per 100,000

0 per 100,000 people a year latest value, 2025

Hungary: Battle deaths per 100,0001950: 0; 2025: 001020304019501960197019801990200020102020

Battle deaths on the territory of the country (PRIO to 1988, UCDP GED from 1989) per 100,000 people (population: UN WPP 2024), from 1950.

Source: Uppsala Conflict Data Program (UCDP), GED 26.1

Intentional homicides (per 100,000 people)

0.7 per 100,000 people latest value, 2023

Hungary: Intentional homicides (per 100,000 people)1990: 1.9; 2023: 0.7012341990199520002005201020152020

An intentional homicide is defined as an unlawful death inflicted upon a person with the intent to cause death or serious injury.

Source: Intentional homicides (per 100,000 people)

Purchases and money

Average dietary energy requirement

2,528 kcal/cap/d latest value, 2025

Hungary: Average dietary energy requirement2000: 2,534; 2025: 2,52801,0002,0003,000200020052010201520202025

FAOSTAT FS, Average dietary energy requirement (kcal/cap/day). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Commercial bank branches (per 100,000 adults)

15.7 per 100,000 adults latest value, 2024

Hungary: Commercial bank branches (per 100,000 adults)2004: 13.8; 2024: 15.705101520252005201020152020

Commercial bank branches are retail locations of resident commercial banks and other resident banks that function as commercial banks that provide financial services to customers and are physically separated from the main office but not organized as legally separated subsidiaries.

Source: Commercial bank branches (per 100,000 adults)

Variation in habitual caloric consumption distribution

0.22 No latest value, 2024

Hungary: Variation in habitual caloric consumption distribution2001: 0.21; 2024: 0.2200.050.10.150.20.252005201020152020

FAOSTAT FS, Coefficient of variation of habitual caloric consumption distribution (real number). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)

87 % of people aged 15+ latest value, 2024

Hungary: Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)2011: 72.7; 2024: 8702040608010020152020

Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (% age 15+).

Source: Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)

Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)

90.5 % of men aged 15+ latest value, 2024

Hungary: Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)2011: 72.2; 2024: 90.502040608010020152020

Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (male, % age 15+).

Source: Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)

Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)

83.7 % of women aged 15+ latest value, 2024

Hungary: Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)2011: 73.1; 2024: 83.702040608010020152020

Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (female, % age 15+).

Source: Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)

Alcoholic beverages: energy supply

201.17 kcal/cap/d latest value, 2023

Hungary: Alcoholic beverages: energy supply2010: 184.1; 2023: 201.17050100150200250201020152020

FAOSTAT FBS, Alcoholic Beverages. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Alcoholic beverages: quantity supply

100.29 kg/cap latest value, 2023

Hungary: Alcoholic beverages: quantity supply2010: 97.15; 2023: 100.29050100150201020152020

FAOSTAT FBS, Alcoholic Beverages. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Animal products: energy supply

947.44 kcal/cap/d latest value, 2023

Hungary: Animal products: energy supply2010: 891.64; 2023: 947.4405001,0001,500201020152020

FAOSTAT FBS, Animal Products. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Animal products: fat supply

74.11 g/cap/d latest value, 2023

Hungary: Animal products: fat supply2010: 72.5; 2023: 74.11020406080100201020152020

FAOSTAT FBS, Animal Products. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Animal products: protein supply

53.79 g/cap/d latest value, 2023

Hungary: Animal products: protein supply2010: 48.64; 2023: 53.790204060201020152020

FAOSTAT FBS, Animal Products. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Bovine meat: energy supply

11.21 kcal/cap/d latest value, 2023

Hungary: Bovine meat: energy supply2010: 16.19; 2023: 11.2105101520201020152020

FAOSTAT FBS, Bovine Meat. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Bovine meat: quantity supply

4.43 kg/cap latest value, 2023

Hungary: Bovine meat: quantity supply2010: 5.73; 2023: 4.4302468201020152020

FAOSTAT FBS, Bovine Meat. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Cereals excluding beer: energy supply

978.78 kcal/cap/d latest value, 2023

Hungary: Cereals excluding beer: energy supply2010: 847.77; 2023: 978.7802004006008001,000201020152020

FAOSTAT FBS, Cereals - Excluding Beer. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Cereals excluding beer: quantity supply

142.45 kg/cap latest value, 2023

Hungary: Cereals excluding beer: quantity supply2010: 119.97; 2023: 142.45050100150201020152020

FAOSTAT FBS, Cereals - Excluding Beer. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Coffee and products: energy supply

0.78 kcal/cap/d latest value, 2023

Hungary: Coffee and products: energy supply2010: 0.35; 2023: 0.780123201020152020

FAOSTAT FBS, Coffee and products. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Coffee and products: quantity supply

1.94 kg/cap latest value, 2023

Hungary: Coffee and products: quantity supply2010: 0.55; 2023: 1.9400.511.522.5201020152020

FAOSTAT FBS, Coffee and products. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Eggs: energy supply

49.9 kcal/cap/d latest value, 2023

Hungary: Eggs: energy supply2010: 49.13; 2023: 49.90204060201020152020

FAOSTAT FBS, Eggs. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Eggs: quantity supply

14.3 kg/cap latest value, 2023

Hungary: Eggs: quantity supply2010: 14.02; 2023: 14.3051015201020152020

FAOSTAT FBS, Eggs. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Fish and seafood: energy supply

12.63 kcal/cap/d latest value, 2023

Hungary: Fish and seafood: energy supply2010: 10.22; 2023: 12.63051015201020152020

FAOSTAT FBS, Fish, Seafood. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Fish and seafood: fat supply

0.58 g/cap/d latest value, 2023

Hungary: Fish and seafood: fat supply2010: 0.47; 2023: 0.5800.20.40.6201020152020

FAOSTAT FBS, Fish, Seafood. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Fish and seafood: protein supply

1.79 g/cap/d latest value, 2023

Hungary: Fish and seafood: protein supply2010: 1.46; 2023: 1.7900.511.52201020152020

FAOSTAT FBS, Fish, Seafood. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Fish and seafood: quantity supply

6.46 kg/cap latest value, 2023

Hungary: Fish and seafood: quantity supply2010: 5.31; 2023: 6.4602468201020152020

FAOSTAT FBS, Fish, Seafood. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Fruits excluding wine: energy supply

109.62 kcal/cap/d latest value, 2023

Hungary: Fruits excluding wine: energy supply2010: 86.64; 2023: 109.62050100150201020152020

FAOSTAT FBS, Fruits - Excluding Wine. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Fruits excluding wine: quantity supply

81.26 kg/cap latest value, 2023

Hungary: Fruits excluding wine: quantity supply2010: 65.51; 2023: 81.26020406080100201020152020

FAOSTAT FBS, Fruits - Excluding Wine. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Meat: energy supply

333.26 kcal/cap/d latest value, 2023

Hungary: Meat: energy supply2010: 296.93; 2023: 333.260100200300400201020152020

FAOSTAT FBS, Meat. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Meat: fat supply

23.3 g/cap/d latest value, 2023

Hungary: Meat: fat supply2010: 20.23; 2023: 23.30102030201020152020

FAOSTAT FBS, Meat. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Meat: protein supply

30.5 g/cap/d latest value, 2023

Hungary: Meat: protein supply2010: 28.43; 2023: 30.5010203040201020152020

FAOSTAT FBS, Meat. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Meat: quantity supply

76.33 kg/cap latest value, 2023

Hungary: Meat: quantity supply2010: 71.68; 2023: 76.33020406080100201020152020

FAOSTAT FBS, Meat. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Milk excluding butter: energy supply

275.76 kcal/cap/d latest value, 2023

Hungary: Milk excluding butter: energy supply2010: 224.87; 2023: 275.760100200300201020152020

FAOSTAT FBS, Milk - Excluding Butter. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Milk excluding butter: fat supply

16.44 g/cap/d latest value, 2023

Hungary: Milk excluding butter: fat supply2010: 14.91; 2023: 16.4405101520201020152020

FAOSTAT FBS, Milk - Excluding Butter. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Milk excluding butter: protein supply

16.44 g/cap/d latest value, 2023

Hungary: Milk excluding butter: protein supply2010: 12.94; 2023: 16.4405101520201020152020

FAOSTAT FBS, Milk - Excluding Butter. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Milk excluding butter: quantity supply

189 kg/cap latest value, 2023

Hungary: Milk excluding butter: quantity supply2010: 147.28; 2023: 189050100150200201020152020

FAOSTAT FBS, Milk - Excluding Butter. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Treenuts: energy supply

3.4 kcal/cap/d latest value, 2023

Hungary: Treenuts: energy supply2010: 1.96; 2023: 3.4012345201020152020

FAOSTAT FBS, Treenuts. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Treenuts: quantity supply

1.56 kg/cap latest value, 2023

Hungary: Treenuts: quantity supply2010: 0.81; 2023: 1.5600.511.52201020152020

FAOSTAT FBS, Treenuts. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Vegetal products: energy supply

2,601.68 kcal/cap/d latest value, 2023

Hungary: Vegetal products: energy supply2010: 2,154.39; 2023: 2,601.6801,0002,0003,000201020152020

FAOSTAT FBS, Vegetal Products. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Vegetal products: fat supply

78.58 g/cap/d latest value, 2023

Hungary: Vegetal products: fat supply2010: 62.56; 2023: 78.58020406080100201020152020

FAOSTAT FBS, Vegetal Products. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Vegetal products: protein supply

39.85 g/cap/d latest value, 2023

Hungary: Vegetal products: protein supply2010: 36.19; 2023: 39.85010203040201020152020

FAOSTAT FBS, Vegetal Products. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Pigmeat: energy supply

225.05 kcal/cap/d latest value, 2023

Hungary: Pigmeat: energy supply2010: 184.2; 2023: 225.050100200300201020152020

FAOSTAT FBS, Pigmeat. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Pigmeat: quantity supply

47.21 kg/cap latest value, 2023

Hungary: Pigmeat: quantity supply2010: 40.63; 2023: 47.210204060201020152020

FAOSTAT FBS, Pigmeat. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Poultry meat: energy supply

94.4 kcal/cap/d latest value, 2023

Hungary: Poultry meat: energy supply2010: 89.73; 2023: 94.4050100150201020152020

FAOSTAT FBS, Poultry Meat. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Poultry meat: quantity supply

24.08 kg/cap latest value, 2023

Hungary: Poultry meat: quantity supply2010: 23.37; 2023: 24.080102030201020152020

FAOSTAT FBS, Poultry Meat. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Pulses: energy supply

19.18 kcal/cap/d latest value, 2023

Hungary: Pulses: energy supply2010: 27.86; 2023: 19.18010203040201020152020

FAOSTAT FBS, Pulses. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Pulses: quantity supply

2.2 kg/cap latest value, 2023

Hungary: Pulses: quantity supply2010: 3.16; 2023: 2.201234201020152020

FAOSTAT FBS, Pulses. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Starchy roots: energy supply

62.49 kcal/cap/d latest value, 2023

Hungary: Starchy roots: energy supply2010: 76.76; 2023: 62.49050100150201020152020

FAOSTAT FBS, Starchy Roots. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Starchy roots: quantity supply

37.93 kg/cap latest value, 2023

Hungary: Starchy roots: quantity supply2010: 45.32; 2023: 37.93020406080201020152020

FAOSTAT FBS, Starchy Roots. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Sugar and sweeteners: energy supply

492.68 kcal/cap/d latest value, 2023

Hungary: Sugar and sweeteners: energy supply2010: 339.35; 2023: 492.680100200300400500201020152020

FAOSTAT FBS, Sugar & Sweeteners. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Sugar and sweeteners: quantity supply

59.75 kg/cap latest value, 2023

Hungary: Sugar and sweeteners: quantity supply2010: 34.51; 2023: 59.750204060201020152020

FAOSTAT FBS, Sugar & Sweeteners. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Tea including mate: energy supply

0.01 kcal/cap/d latest value, 2023

Hungary: Tea including mate: energy supply2010: 0.07; 2023: 0.0100.020.040.060.080.10.12201020152020

FAOSTAT FBS, Tea (including mate). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Tea including mate: quantity supply

0.07 kg/cap latest value, 2023

Hungary: Tea including mate: quantity supply2010: 0.12; 2023: 0.0700.050.10.150.2201020152020

FAOSTAT FBS, Tea (including mate). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

All foods: energy supply

3,549.11 kcal/cap/d latest value, 2023

Hungary: All foods: energy supply2010: 3,046.03; 2023: 3,549.1101,0002,0003,0004,000201020152020

FAOSTAT FBS, Grand Total. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

All foods: fat supply

152.69 g/cap/d latest value, 2023

Hungary: All foods: fat supply2010: 135.06; 2023: 152.69050100150200201020152020

FAOSTAT FBS, Grand Total. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

All foods: protein supply

93.64 g/cap/d latest value, 2023

Hungary: All foods: protein supply2010: 84.83; 2023: 93.64020406080100201020152020

FAOSTAT FBS, Grand Total. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Vegetable oils: energy supply

593.47 kcal/cap/d latest value, 2023

Hungary: Vegetable oils: energy supply2010: 474.22; 2023: 593.470200400600800201020152020

FAOSTAT FBS, Vegetable Oils. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Vegetable oils: quantity supply

13.39 kg/cap latest value, 2023

Hungary: Vegetable oils: quantity supply2010: 9.67; 2023: 13.39051015201020152020

FAOSTAT FBS, Vegetable Oils. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Vegetables: energy supply

91.37 kcal/cap/d latest value, 2023

Hungary: Vegetables: energy supply2010: 53.72; 2023: 91.37020406080100201020152020

FAOSTAT FBS, Vegetables. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Vegetables: quantity supply

98.32 kg/cap latest value, 2023

Hungary: Vegetables: quantity supply2010: 68.72; 2023: 98.32020406080100201020152020

FAOSTAT FBS, Vegetables. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Six or more online purchases in three months

11.6 % of people aged 16-74 latest value, 2025

Hungary: Six or more online purchases in three months2020: 11; 2025: 11.60510152020202025

ICT survey, all individuals aged 16-74, not only internet users or buyers. Reference window is defined by the selected Eurostat category; since 2020.

Source: Internet purchases by individuals (2020 onwards)

Healthy-diet animal-source food cost

0.75 Int$ (PPP) per person per day latest value, 2021

Hungary: Healthy-diet animal-source food cost2021: 0.75; 2021: 0.7500.20.40.60.820152020

FAOSTAT CAHD, Cost of animal source foods. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Cost of a healthy diet

5.36 Int$ (PPP) per person per day latest value, 2025

Hungary: Cost of a healthy diet2017: 3.36; 2025: 5.36024620202025

FAOSTAT CAHD, Cost of a healthy diet (CoHD). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Healthy-diet fruit cost

0.82 Int$ (PPP) per person per day latest value, 2021

Hungary: Healthy-diet fruit cost2021: 0.82; 2021: 0.8200.20.40.60.8120152020

FAOSTAT CAHD, Cost of fruits. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Healthy-diet legumes and nuts cost

0.48 Int$ (PPP) per person per day latest value, 2021

Hungary: Healthy-diet legumes and nuts cost2021: 0.48; 2021: 0.4800.10.20.30.40.520152020

FAOSTAT CAHD, Cost of legumes, nuts and seeds. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Healthy-diet oils and fats cost

0.12 Int$ (PPP) per person per day latest value, 2021

Hungary: Healthy-diet oils and fats cost2021: 0.12; 2021: 0.1200.050.10.1520152020

FAOSTAT CAHD, Cost of oils and fats. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Healthy-diet starchy-staple cost

0.53 Int$ (PPP) per person per day latest value, 2021

Hungary: Healthy-diet starchy-staple cost2021: 0.53; 2021: 0.5300.20.40.620152020

FAOSTAT CAHD, Cost of starchy staples. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Unable to afford a healthy diet

29.8 % latest value, 2025

Hungary: Unable to afford a healthy diet2017: 41; 2025: 29.80102030405020202025

FAOSTAT CAHD, Prevalence of unaffordability (PUA). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

People unable to afford a healthy diet

2.9 million No latest value, 2025

Hungary: People unable to afford a healthy diet2017: 4; 2025: 2.901234520202025

FAOSTAT CAHD, Number of people unable to afford a healthy diet (NUA). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Healthy-diet vegetable cost

0.98 Int$ (PPP) per person per day latest value, 2021

Hungary: Healthy-diet vegetable cost2021: 0.98; 2021: 0.9800.20.40.60.8120152020

FAOSTAT CAHD, Cost of vegetables. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Households and NPISHs final consumption expenditure (% of GDP)

52.5 % of GDP latest value, 2025

Hungary: Households and NPISHs final consumption expenditure (% of GDP)1991: 54.7; 2025: 52.502040601995200020052010201520202025

This field includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.

Source: Households and NPISHs final consumption expenditure (% of GDP)

Households and NPISHs Final consumption expenditure per capita (constant 2015 US$)

9,566.4 constant 2015 US dollars latest value, 2025

Hungary: Households and NPISHs Final consumption expenditure per capita (constant 2015 US$)1991: 4,113.3; 2025: 9,566.402,0004,0006,0008,00010,0001995200020052010201520202025

This field includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.

Source: Households and NPISHs Final consumption expenditure per capita (constant 2015 US$)

Income share held by lowest 20%

7.9 % of income or consumption latest value, 2017

Hungary: Income share held by lowest 20%1987: 11.4; 2017: 7.9051015199019952000200520102015

Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.

Source: Income share held by lowest 20%

Gini index

30.6 index, 0-100 latest value, 2017

Hungary: Gini index1987: 20.9; 2017: 30.6010203040199019952000200520102015

Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.

Source: Gini index

Income share held by highest 20%

38.5 % of income or consumption latest value, 2017

Hungary: Income share held by highest 20%1987: 32.5; 2017: 38.501020304050199019952000200520102015

Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.

Source: Income share held by highest 20%

Minimum dietary energy requirement

1,946 kcal/cap/d latest value, 2025

Hungary: Minimum dietary energy requirement2000: 1,949; 2025: 1,94605001,0001,5002,000200020052010201520202025

FAOSTAT FS, Minimum dietary energy requirement (kcal/cap/day). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Adjusted savings: net national savings (% of GNI)

9.3 % of gross national income latest value, 2021

Hungary: Adjusted savings: net national savings (% of GNI)1993: −6.5; 2021: 9.3051015199520002005201020152020

Net national savings are equal to gross national savings less the value of consumption of fixed capital. This indicator is expressed as a percentage of Gross National Income (GNI) which is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad.

Source: Adjusted savings: net national savings (% of GNI)

Never bought online

16.2 % of people aged 16-74 latest value, 2025

Hungary: Never bought online2020: 20.4; 2025: 16.2051015202520202025

ICT survey, all individuals aged 16-74, not only internet users or buyers. Reference window is defined by the selected Eurostat category; since 2020.

Source: Internet purchases by individuals (2020 onwards)

Online purchase in the last year

67.7 % of people aged 16-74 latest value, 2025

Hungary: Online purchase in the last year2020: 60; 2025: 67.702040608020202025

ICT survey, all individuals aged 16-74, not only internet users or buyers. Reference window is defined by the selected Eurostat category; since 2020.

Source: Internet purchases by individuals (2020 onwards)

Online purchase in the last three months

54.8 % of people aged 16-74 latest value, 2025

Hungary: Online purchase in the last three months2020: 49.3; 2025: 54.802040608020202025

ICT survey, all individuals aged 16-74, not only internet users or buyers. Reference window is defined by the selected Eurostat category; since 2020.

Source: Internet purchases by individuals (2020 onwards)

Poverty headcount ratio at $3.00 a day (2021 PPP) (% of population)

0.9 % of population, 2021 PPP latest value, 2017

Hungary: Poverty headcount ratio at $3.00 a day (2021 PPP) (% of population)1987: 0; 2017: 0.900.511.522.5199019952000200520102015

Poverty headcount ratio at $3.00 a day is the percentage of the population living on less than $3.00 a day at 2021 purchasing power adjusted prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

Source: Poverty headcount ratio at $3.00 a day (2021 PPP) (% of population)

At risk of poverty or social exclusion

19.5 % of population latest value, 2025

Hungary: At risk of poverty or social exclusion2015: 30.6; 2025: 19.5010203040201520202025

Europe 2030 AROPE: at-risk-of-poverty, severe material/social deprivation or very low work intensity, EU-SILC. Not the sum of three rates.

Source: Persons at risk of poverty or social exclusion by age and sex

Caloric losses at retail distribution

1.7 % latest value, 2025

Hungary: Caloric losses at retail distribution2000: 1.93; 2025: 1.700.511.52200020052010201520202025

FAOSTAT FS, Incidence of caloric losses at retail distribution level (percent). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Health

Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)

9.9 litres per person aged 15+ latest value, 2020

Hungary: Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)2000: 12.4; 2020: 9.905101520002005201020152020

Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.

Source: Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)

Anaemia among women aged 15–49

24.1 % latest value, 2023

Hungary: Anaemia among women aged 15–492000: 20.3; 2023: 24.1051015202520002005201020152020

FAOSTAT FS, Prevalence of anemia among women of reproductive age (15-49 years) (percent). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

COVID economic support index

43.2 mean index 0–100 latest value, 2022

Hungary: COVID economic support index2020: 46.7; 2022: 43.2010203040502020

Mean daily national OxCGRT index with all days present, archived 2020–2022. Codes policies, not compliance, effectiveness or causal impact. Average follows source treatment of vaccination groups.

Source: Oxford COVID-19 Government Response Tracker

COVID containment and health index

26.9 mean index 0–100 latest value, 2022

Hungary: COVID containment and health index2020: 44.3; 2022: 26.902040602020

Mean daily national OxCGRT index with all days present, archived 2020–2022. Codes policies, not compliance, effectiveness or causal impact. Average follows source treatment of vaccination groups.

Source: Oxford COVID-19 Government Response Tracker

COVID government response

28.9 mean index 0–100 latest value, 2022

Hungary: COVID government response2020: 44.6; 2022: 28.902040602020

Mean daily national OxCGRT index with all days present, archived 2020–2022. Codes policies, not compliance, effectiveness or causal impact. Average follows source treatment of vaccination groups.

Source: Oxford COVID-19 Government Response Tracker

COVID policy stringency

14.2 mean index 0–100 latest value, 2022

Hungary: COVID policy stringency2020: 47.2; 2022: 14.2010203040502020

Mean daily national OxCGRT index with all days present, archived 2020–2022. Codes policies, not compliance, effectiveness or causal impact. Average follows source treatment of vaccination groups.

Source: Oxford COVID-19 Government Response Tracker

Reported COVID-19 cases

2,776 by report dates in year latest value, 2025

Hungary: Reported COVID-19 cases2021: 921,270; 2025: 2,7760200,000400,000600,000800,0001,000,00020202025

Sum of WHO weekly reports by report date in a completed year, requiring at least 50 nonmissing values. Reported events, not total infections/deaths. Negative revisions retained; testing and reporting coverage changed.

Source: WHO: reported COVID-19 data

Reported COVID-19 deaths

10,132 by report dates in year latest value, 2022

Hungary: Reported COVID-19 deaths2021: 29,260; 2022: 10,132010,00020,00030,0002020

Sum of WHO weekly reports by report date in a completed year, requiring at least 50 nonmissing values. Reported events, not total infections/deaths. Negative revisions retained; testing and reporting coverage changed.

Source: WHO: reported COVID-19 data

Diabetes prevalence (% of population ages 20 to 79)

8.3 % of people aged 20-79 latest value, 2024

Hungary: Diabetes prevalence (% of population ages 20 to 79)2011: 6; 2024: 8.3024681020152020

Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes. It is calculated by adjusting to a standard population age-structure.

Source: Diabetes prevalence (% of population ages 20 to 79)

Prevalence of moderate or severe food insecurity in the population (%)

15.6 % of population latest value, 2023

Hungary: Prevalence of moderate or severe food insecurity in the population (%)2015: 11.3; 2023: 15.60510152020152020

The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources.

Source: Prevalence of moderate or severe food insecurity in the population (%)

Prevalence of severe food insecurity in the population (%)

4.5 % of population latest value, 2023

Hungary: Prevalence of severe food insecurity in the population (%)2015: 1.4; 2023: 4.501234520152020

The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.

Source: Prevalence of severe food insecurity in the population (%)

Out-of-pocket expenditure (% of current health expenditure)

23.1 % of current health expenditure latest value, 2023

Hungary: Out-of-pocket expenditure (% of current health expenditure)2000: 27.3; 2023: 23.1010203020002005201020152020

Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.

Source: Out-of-pocket expenditure (% of current health expenditure)

Current health expenditure (% of GDP)

6.4 % of GDP latest value, 2023

Hungary: Current health expenditure (% of GDP)2000: 6.8; 2023: 6.4024681020002005201020152020

Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.

Source: Current health expenditure (% of GDP)

Current health expenditure per capita (current US$)

1,419.9 current US dollars latest value, 2023

Hungary: Current health expenditure per capita (current US$)2000: 313.1; 2023: 1,419.905001,0001,50020002005201020152020

Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.

Source: Current health expenditure per capita (current US$)

Healthy life years at age 65, men

7.2 years latest value, 2024

Hungary: Healthy life years at age 65, men2005: 5.1; 2024: 7.2024682005201020152020

Expected years without activity limitation, EU-SILC/Eurostat, combining mortality and self-reported limitation. Different from IHME healthy life years.

Source: Healthy life years by sex (from 2004 onwards)

Healthy life years at age 65, women

7.9 years latest value, 2024

Hungary: Healthy life years at age 65, women2005: 5; 2024: 7.9024682005201020152020

Expected years without activity limitation, EU-SILC/Eurostat, combining mortality and self-reported limitation. Different from IHME healthy life years.

Source: Healthy life years by sex (from 2004 onwards)

Healthy life years at birth, men

62.3 years latest value, 2024

Hungary: Healthy life years at birth, men2005: 52.2; 2024: 62.30204060802005201020152020

Expected years without activity limitation, EU-SILC/Eurostat, combining mortality and self-reported limitation. Different from IHME healthy life years.

Source: Healthy life years by sex (from 2004 onwards)

Healthy life years at birth, women

64.3 years latest value, 2024

Hungary: Healthy life years at birth, women2005: 54.3; 2024: 64.30204060802005201020152020

Expected years without activity limitation, EU-SILC/Eurostat, combining mortality and self-reported limitation. Different from IHME healthy life years.

Source: Healthy life years by sex (from 2004 onwards)

Hospital beds (per 1,000 people)

6.6 per 1,000 people latest value, 2022

Hungary: Hospital beds (per 1,000 people)1994: 9.3; 2022: 6.60246810199520002005201020152020

Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.

Source: Hospital beds (per 1,000 people)

Low birthweight

8.3 % latest value, 2020

Hungary: Low birthweight2000: 8.5; 2020: 8.3024681020002005201020152020

FAOSTAT FS, Prevalence of low birthweight (percent). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Nurses and midwives (per 1,000 people)

5.7 per 1,000 people latest value, 2022

Hungary: Nurses and midwives (per 1,000 people)1990: 5.4; 2022: 5.7024681990199520002005201020152020

Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.

Source: Nurses and midwives (per 1,000 people)

Obesity among adults aged 18+

31.4 % latest value, 2024

Hungary: Obesity among adults aged 18+2000: 18.1; 2024: 31.401020304020002005201020152020

FAOSTAT FS, Prevalence of obesity in the adult population (18 years and older) (percent). Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Physicians (per 1,000 people)

3.5 per 1,000 people latest value, 2022

Hungary: Physicians (per 1,000 people)1960: 1.5; 2022: 3.5012341960197019801990200020102020

Physicians include generalist and specialist medical practitioners.

Source: Physicians (per 1,000 people)

Mortality caused by road traffic injury (per 100,000 population)

7.7 per 100,000 people latest value, 2019

Hungary: Mortality caused by road traffic injury (per 100,000 population)2000: 12.7; 2019: 7.7051015202000200520102015

Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.

Source: Mortality caused by road traffic injury (per 100,000 population)

Bad or very bad self-rated health

9.2 % of people aged 16+ in group latest value, 2025

Hungary: Bad or very bad self-rated health2005: 21.9; 2025: 9.2051015202520052010201520202025

Self-rated bad or very bad health, EU-SILC, both sexes aged 16+. Not a medical diagnosis.

Source: Self-perceived health by sex, age and income quintile

Bad or very bad self-rated health in the highest income quintile

3.7 % of people aged 16+ in group latest value, 2025

Hungary: Bad or very bad self-rated health in the highest income quintile2005: 10.6; 2025: 3.705101520052010201520202025

Self-rated bad or very bad health, EU-SILC, both sexes aged 16+. Not a medical diagnosis.

Source: Self-perceived health by sex, age and income quintile

Bad or very bad self-rated health in the lowest income quintile

19.2 % of people aged 16+ in group latest value, 2025

Hungary: Bad or very bad self-rated health in the lowest income quintile2005: 27.3; 2025: 19.2010203020052010201520202025

Self-rated bad or very bad health, EU-SILC, both sexes aged 16+. Not a medical diagnosis.

Source: Self-perceived health by sex, age and income quintile

Suicide mortality rate (per 100,000 population)

16.5 per 100,000 people latest value, 2021

Hungary: Suicide mortality rate (per 100,000 population)2000: 33.3; 2021: 16.501020304020002005201020152020

Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).

Source: Suicide mortality rate (per 100,000 population)

Prevalence of current tobacco use (% of adults)

30.8 % of adults latest value, 2024

Hungary: Prevalence of current tobacco use (% of adults)2000: 38.3; 2024: 30.801020304020002005201020152020

The percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.

Source: Prevalence of current tobacco use (% of adults)

Incidence of tuberculosis (per 100,000 people)

5.6 per 100,000 people latest value, 2024

Hungary: Incidence of tuberculosis (per 100,000 people)2000: 45; 2024: 5.60102030405020002005201020152020

Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.

Source: Incidence of tuberculosis (per 100,000 people)

Prevalence of undernourishment (% of population)

2.5 % of population latest value, 2023

Hungary: Prevalence of undernourishment (% of population)2001: 2.5; 2023: 2.500.511.522.532005201020152020

Prevalence of undernourishment is the percentage of the population whose habitual food consumption is insufficient to provide the dietary energy levels that are required to maintain a normal active and healthy life. Data showing as 2.5 may signify a prevalence of undernourishment below 2.5%.

Source: Prevalence of undernourishment (% of population)

Unmet medical examination needs in the highest income quintile

1.5 % of people aged 16+ in group latest value, 2025

Hungary: Unmet medical examination needs in the highest income quintile2008: 1.4; 2025: 1.500.511.522010201520202025

Self-reported unmet medical examination needs due to cost, distance or waiting lists, EU-SILC, age 16+. Source flags and questionnaire changes are preserved; do not add reasons.

Source: Self-reported unmet needs for medical examination by sex, age, main reason declared and income quintile

Unmet medical examination needs in the lowest income quintile

1.3 % of people aged 16+ in group latest value, 2025

Hungary: Unmet medical examination needs in the lowest income quintile2008: 7.1; 2025: 1.3024682010201520202025

Self-reported unmet medical examination needs due to cost, distance or waiting lists, EU-SILC, age 16+. Source flags and questionnaire changes are preserved; do not add reasons.

Source: Self-reported unmet needs for medical examination by sex, age, main reason declared and income quintile

Immunization, DPT (% of children ages 12-23 months)

99 % of children aged 12-23 months latest value, 2024

Hungary: Immunization, DPT (% of children ages 12-23 months)1980: 99; 2024: 9902040608010019801990200020102020

Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.

Source: Immunization, DPT (% of children ages 12-23 months)

Immunization, measles (% of children ages 12-23 months)

99 % of children aged 12-23 months latest value, 2024

Hungary: Immunization, measles (% of children ages 12-23 months)1980: 99; 2024: 9902040608010019801990200020102020

Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.

Source: Immunization, measles (% of children ages 12-23 months)

Culture and time

Financial barrier: Live performance attendance in the last year

15.9 % of non-participants latest value, 2022

Hungary: Financial barrier: Live performance attendance in the last year2015: 14.5; 2022: 15.90510152020152020

Financial reason among non-participants in the specified cultural or sports activity, EU-SILC, age 16+. Not a share of all residents.

Source: Persons not participating in cultural or sport activities in the last 12 months by sex, age, educational attainment, activity type and reasons

International tourism, receipts (current US$)

4,224,000,000 current US dollars latest value, 2020

Hungary: International tourism, receipts (current US$)1995: 2,938,000,000; 2020: 4,224,000,00005,000,000,00010,000,000,00015,000,000,000199520002005201020152020

International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Data are in current U.S. dollars.

Source: International tourism, receipts (current US$)

International tourism, number of arrivals

31,641,000 arrivals per year latest value, 2020

Hungary: International tourism, number of arrivals1995: 39,240,000; 2020: 31,641,000020,000,00040,000,00060,000,00080,000,000199520002005201020152020

International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.

Source: International tourism, number of arrivals

Land and housing

Agricultural land (% of land area)

55.7 % of land area latest value, 2023

Hungary: Agricultural land (% of land area)1961: 78.7; 2023: 55.7020406080197019801990200020102020

Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.

Source: Agricultural land (% of land area)

Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)

22,155.5 constant 2015 US dollars latest value, 2025

Hungary: Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)1995: 12,800.1; 2025: 22,155.5010,00020,00030,00040,0001995200020052010201520202025

Agriculture, forestry, and fishing corresponds to ISIC (Rev. 4) divisions 01-03 and includes the exploitation of vegetal and animal natural resources, comprising the activities of growing of crops, raising and breeding of animals, harvesting of timber and other plants, animals or animal products from a farm or their natural habitats.Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.

Source: Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)

Price of arable land

6,041 euro per hectare latest value, 2024

Hungary: Price of arable land2011: 2,089; 2024: 6,04102,0004,0006,0008,00020152020

Published agricultural land price excluding buildings, national Eurostat series. Transaction composition and coverage differ.

Source: Agricultural land prices by region

Annual rent of arable land

220 euro per hectare per year latest value, 2024

Hungary: Annual rent of arable land2011: 117; 2024: 22005010015020025020152020

Published annual agricultural land rental price, national Eurostat series. Not a purchase price.

Source: Agricultural land renting prices for one year by region

Arable land (% of land area)

45.4 % of land area latest value, 2023

Hungary: Arable land (% of land area)1961: 57.7; 2023: 45.40204060197019801990200020102020

Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.

Source: Arable land (% of land area)

Cereal yield (kg per hectare)

5,629.7 kg per hectare latest value, 2024

Hungary: Cereal yield (kg per hectare)1961: 1,857.5; 2024: 5,629.702,0004,0006,0008,000197019801990200020102020

Cereal yield, measured as kilograms per hectare of harvested land, includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded. The FAO allocates production data to the calendar year in which the bulk of the harvest took place. Most of a crop harvested near the end of a year will be used in the following year.

Source: Cereal yield (kg per hectare)

Certified organic agricultural land

271.16 1000 ha latest value, 2024

Hungary: Certified organic agricultural land2004: 71.76; 2024: 271.1601002003002005201020152020

FAOSTAT RL, Agriculture area certified organic. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Farm buildings and farmyards

4.09 1000 ha latest value, 2024

Hungary: Farm buildings and farmyards2013: 334; 2024: 4.09010020030040020152020

FAOSTAT RL, Farm buildings and Farmyards. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Housing cost overburden

5.3 % of population latest value, 2025

Hungary: Housing cost overburden2005: 18.1; 2025: 5.30510152020052010201520202025

People in households with housing costs exceeding 40% of disposable income, EU-SILC; all ages and sexes.

Source: Housing cost overburden rate by age, sex and poverty status

Actually irrigated agricultural land

130.89 1000 ha latest value, 2024

Hungary: Actually irrigated agricultural land2003: 149; 2024: 130.890501001502005201020152020

FAOSTAT RL, Agriculture area actually irrigated. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Land equipped for irrigation

216.66 1000 ha latest value, 2024

Hungary: Land equipped for irrigation1961: 133; 2024: 216.660100200300400197019801990200020102020

FAOSTAT RL, Land area equipped for irrigation. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Age of leaving the parental household

27.3 years, estimate latest value, 2025

Hungary: Age of leaving the parental household2000: 26.5; 2025: 27.30102030200020052010201520202025

Estimated mean age of leaving the parental household under the Eurostat method, both sexes. Not the mean age of observed moves during the year.

Source: Estimated average age of young persons leaving the parental household

Cropland under zero or no tillage

86.73 1000 ha latest value, 2023

Hungary: Cropland under zero or no tillage2016: 37.9; 2023: 86.730204060801002020

FAOSTAT RL, Cropland area under zero or no tillage. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Price of permanent grassland

3,249 euro per hectare latest value, 2024

Hungary: Price of permanent grassland2011: 1,016; 2024: 3,24901,0002,0003,0004,00020152020

Published agricultural land price excluding buildings, national Eurostat series. Transaction composition and coverage differ.

Source: Agricultural land prices by region

Annual rent of permanent grassland

110 euro per hectare per year latest value, 2024

Hungary: Annual rent of permanent grassland2011: 58; 2024: 11005010015020152020

Published annual agricultural land rental price, national Eurostat series. Not a purchase price.

Source: Agricultural land renting prices for one year by region

Planted forest

791.69 1000 ha latest value, 2025

Hungary: Planted forest1990: 703.61; 2025: 791.69020040060080019901995200020052010201520202025

FAOSTAT RL, Planted Forest. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Primary forest

0 1000 ha latest value, 2025

Hungary: Primary forest1990: 0; 2025: 00119901995200020052010201520202025

FAOSTAT RL, Primary Forest. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Everyday environment

Air transport, passengers carried

55,613,579 passengers per year latest value, 2023

Hungary: Air transport, passengers carried1970: 282,300; 2023: 55,613,579020,000,00040,000,00060,000,000197019801990200020102020

Air carrier data per country refers to passengers carried by airlines registered in that country regardless of the origin or destination of the passengers.

Source: Air transport, passengers carried

Unable to keep home adequately warm

5.8 % of population in group latest value, 2025

Hungary: Unable to keep home adequately warm2005: 17.7; 2025: 5.80510152020052010201520202025

Self-reported inability to keep home adequately warm, EU-SILC. The at-risk group has income below 60% of the national median.

Source: Inability to keep home adequately warm

Unable to keep home adequately warm (at risk of poverty)

16.8 % of population in group latest value, 2025

Hungary: Unable to keep home adequately warm (at risk of poverty)2005: 33.9; 2025: 16.801020304020052010201520202025

Self-reported inability to keep home adequately warm, EU-SILC. The at-risk group has income below 60% of the national median.

Source: Inability to keep home adequately warm

Access to electricity (% of population)

100 % of population latest value, 2024

Hungary: Access to electricity (% of population)1990: 100; 2024: 1000204060801001201990199520002005201020152020

Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources.

Source: Access to electricity (% of population)

Fertilizer consumption (kilograms per hectare of arable land)

89.5 kg of nutrients per hectare latest value, 2023

Hungary: Fertilizer consumption (kilograms per hectare of arable land)1961: 41.4; 2023: 89.50100200300400197019801990200020102020

Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). Traditional nutrients--animal and plant manures--are not included. For the purpose of data dissemination, FAO has adopted the concept of a calendar year (January to December). Some countries compile fertilizer data on a calendar year basis, while others are on a split-year basis. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.

Source: Fertilizer consumption (kilograms per hectare of arable land)

Forest area (% of land area)

22.4 % of land area latest value, 2023

Hungary: Forest area (% of land area)1990: 20.2; 2023: 22.405101520251990199520002005201020152020

Forest area (% of land area) is the share of total land area that is under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.

Source: Forest area (% of land area)

Household electricity price

0.11 euro per kWh, mean of both half-years latest value, 2025

Hungary: Household electricity price2008: 0.16; 2025: 0.1100.050.10.150.22010201520202025

Arithmetic mean of both half-year prices including taxes in the selected Eurostat consumption band. Partial years excluded; not a sales-weighted annual price.

Source: Electricity prices for household consumers - bi-annual data (from 2007 onwards)

Household gas price

0.03 euro per kWh, mean of both half-years latest value, 2025

Hungary: Household gas price2008: 0.04; 2025: 0.0300.020.040.062010201520202025

Arithmetic mean of both half-year prices including taxes in the selected Eurostat consumption band. Partial years excluded; not a sales-weighted annual price.

Source: Gas prices for household consumers - bi-annual data

Land temperature anomaly

2.01 °C latest value, 2025

Hungary: Land temperature anomaly1961: 1.18; 2025: 2.0101234197019801990200020102020

FAOSTAT ET, Meteorological year. Published exact annual central values only; missing/suppressed values and inequality bounds are excluded from the annual series. Source flags, units, period and release retained in typed tables. Food supply is availability, not actual intake; land areas are not prices; diet cost uses source PPP definitions; land temperature is relative to 1951–1980.

Source: FAO: FAOSTAT

Municipal waste generated

414 kg per inhabitant latest value, 2024

Hungary: Municipal waste generated1995: 460; 2024: 4140100200300400500199520002005201020152020

Municipal waste by treatment operation, Eurostat, kg per inhabitant. National scope of municipal waste differs.

Source: Municipal waste by waste management operations

Municipal waste landfilled

220 kg per inhabitant latest value, 2024

Hungary: Municipal waste landfilled1995: 337; 2024: 2200100200300400199520002005201020152020

Municipal waste by treatment operation, Eurostat, kg per inhabitant. National scope of municipal waste differs.

Source: Municipal waste by waste management operations

Municipal waste recycled

139 kg per inhabitant latest value, 2024

Hungary: Municipal waste recycled1995: 7; 2024: 139050100150199520002005201020152020

Municipal waste by treatment operation, Eurostat, kg per inhabitant. National scope of municipal waste differs.

Source: Municipal waste by waste management operations

PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)

13.7 micrograms/m³, annual mean exposure latest value, 2023

Hungary: PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)1990: 27.3; 2023: 13.701020301990199520002005201020152020

Population-weighted exposure to ambient PM2.5 pollution is defined as the average level of exposure of a nation's population to concentrations of suspended particles measuring less than 2.5 microns in aerodynamic diameter, which are capable of penetrating deep into the respiratory tract and causing severe health damage. Exposure is calculated by weighting mean annual concentrations of PM2.5 by population in both urban and rural areas.

Source: PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)

Railways, passengers carried (million passenger-km)

5,435.4 million passenger-km latest value, 2021

Hungary: Railways, passengers carried (million passenger-km)1995: 8,336; 2021: 5,435.405,00010,00015,000199520002005201020152020

Passengers carried by railway are the number of passengers transported by rail multiplied by kilometers traveled.

Source: Railways, passengers carried (million passenger-km)

People using safely managed drinking water services (% of population)

100 % of population latest value, 2024

Hungary: People using safely managed drinking water services (% of population)2000: 82.8; 2024: 10002040608010012020002005201020152020

The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from fecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.

Source: People using safely managed drinking water services (% of population)

People using safely managed sanitation services (% of population)

91.7 % of population latest value, 2024

Hungary: People using safely managed sanitation services (% of population)2000: 53.3; 2024: 91.702040608010020002005201020152020

The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, composting toilets or pit latrines with slabs.

Source: People using safely managed sanitation services (% of population)

Level of water stress: freshwater withdrawal as a proportion of available freshwater resources

8.1 % of available freshwater resources latest value, 2022

Hungary: Level of water stress: freshwater withdrawal as a proportion of available freshwater resources1970: 5.1; 2022: 8.1051015197019801990200020102020

The level of water stress: freshwater withdrawal as a proportion of available freshwater resources is the ratio between total freshwater withdrawn by all major sectors and total renewable freshwater resources, after taking into account environmental water requirements. Main sectors, as defined by ISIC standards, include agriculture; forestry and fishing; manufacturing; electricity industry; and services. This indicator is also known as water withdrawal intensity.

Source: Level of water stress: freshwater withdrawal as a proportion of available freshwater resources

Work and skills

Literacy rate, adult total (% of people ages 15 and above)

98.9 % of people aged 15+ latest value, 1980

Hungary: Literacy rate, adult total (% of people ages 15 and above)1980: 98.9; 1980: 98.902040608010019751980

Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.

Source: Literacy rate, adult total (% of people ages 15 and above)

Children out of school (% of primary school age)

2.8 % of primary-school-age children latest value, 2024

Hungary: Children out of school (% of primary school age)2001: 1.5; 2024: 2.8012342005201020152020

Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.

Source: Children out of school (% of primary school age)

Early leavers from education and training

9.3 % of people aged 18-24 latest value, 2025

Hungary: Early leavers from education and training1997: 17.8; 2025: 9.305101520200020052010201520202025

People aged 18-24 with at most lower secondary education and no recent education/training, Eurostat LFS.

Source: Early leavers from education and training by labour status

Government expenditure on education, total (% of GDP)

3.8 % of GDP latest value, 2022

Hungary: Government expenditure on education, total (% of GDP)1970: 3.4; 2022: 3.802468197019801990200020102020

General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.

Source: Government expenditure on education, total (% of GDP)

Employment to population ratio, 15+, total (%) (modeled ILO estimate)

57.8 % of population aged 15+ latest value, 2025

Hungary: Employment to population ratio, 15+, total (%) (modeled ILO estimate)1991: 46.9; 2025: 57.802040601995200020052010201520202025

Employment to population ratio is the proportion of a country's population that is employed.

Source: Employment to population ratio, 15+, total (%) (modeled ILO estimate)

Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)

60.6 % of population aged 15+ latest value, 2025

Hungary: Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)1990: 51.5; 2025: 60.602040608019901995200020052010201520202025

Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.

Source: Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)

Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)

9.2 % of children of end-of-primary age latest value, 2021

Hungary: Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)2001: 5.9; 2021: 9.202468102005201020152020

The share of 10-year-olds who cannot read and understand a short passage of age-appropriate material—in other words, those who are below the “minimum proficiency” threshold for reading. This measure is defined as the union of two deprivations: 1) schooling deprivation and 2) learning deprivation. A child is considered schooling-deprived (SD) if he or she is of primary school age and out-of-school. The dimension of learning deprivation (LD) applies only for children in school, and identifies those pupils who are below the minimum proficiency level (MPL) for reading, as defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. This “union approach” to measurement reflects the choice that, as presented in the SDGs, all age 10 children must be both in school and learning. The final learning poverty measure combines the two dimensions in a single indicator using the following formula: LP = SD + [(1-SD) x LD]

Source: Learning poverty: Share of Children at the End-of-Primary age below minimum reading proficiency adjusted by Out-of-School Children (%)

New business density (new registrations per 1,000 people ages 15-64)

3.8 per 1,000 people aged 15-64 latest value, 2024

Hungary: New business density (new registrations per 1,000 people ages 15-64)2006: 3.2; 2024: 3.802468201020152020

The number of newly registered firms with limited liability per 1,000 working-age people (ages 15-64) per calendar year.

Source: New business density (new registrations per 1,000 people ages 15-64)

Part-time employment

4.7 % of employed people aged 15-64 latest value, 2025

Hungary: Part-time employment2009: 5; 2025: 4.7024682010201520202025

Employed people aged 15-64 working part-time as a share of employment, Eurostat LFS, both sexes.

Source: Part-time employment and temporary contracts - annual data

Primary completion rate, total (% of relevant age group)

108.9 % of relevant age group latest value, 2024

Hungary: Primary completion rate, total (% of relevant age group)2001: 97.4; 2024: 108.90501001502005201020152020

Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.

Source: Primary completion rate, total (% of relevant age group)

Vulnerable employment, total (% of total employment) (modeled ILO estimate)

7.8 % of employment latest value, 2025

Hungary: Vulnerable employment, total (% of total employment) (modeled ILO estimate)1991: 15.6; 2025: 7.8051015201995200020052010201520202025

Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.

Source: Vulnerable employment, total (% of total employment) (modeled ILO estimate)

Actual weekly hours worked

37.1 hours latest value, 2025

Hungary: Actual weekly hours worked2008: 40; 2025: 37.1010203040502010201520202025

Mean actual hours in the main job among those who worked in the reference week, age 15+, both sexes and all employment types/industries, Eurostat LFS. Full-week absentees excluded.

Source: Average actual weekly hours worked in the main job of persons who worked in this job during the reference week by professional status, full-time/part-time employment and economic activity (NACE Rev. 2) (2008-2026)

Literacy rate, youth total (% of people ages 15-24)

99.4 % of people aged 15-24 latest value, 1980

Hungary: Literacy rate, youth total (% of people ages 15-24)1980: 99.4; 1980: 99.402040608010019751980

Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.

Source: Literacy rate, youth total (% of people ages 15-24)

Share of youth not in education, employment or training, total (% of youth population)

10 % of youth aged 15-24 latest value, 2024

Hungary: Share of youth not in education, employment or training, total (% of youth population)1996: 21.3; 2024: 10051015202520002005201020152020

The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).

Source: Share of youth not in education, employment or training, total (% of youth population)

Science, space and technology

GitHub developer accounts at year end

435,919 accounts latest value, 2025

Hungary: GitHub developer accounts at year end2020: 175,475; 2025: 435,9190100,000200,000300,000400,000500,00020202025

Fourth-quarter end snapshot; includes inactive accounts/organizations/repositories. GitHub Innovation Graph: public GitHub activity only. Geography reflects mode location, not nationality. Suppressed small groups are not zeros; not a professional-programmer count.

Source: GitHub Innovation Graph

GitHub git pushes

2,224,895 git pushes latest value, 2025

Hungary: GitHub git pushes2020: 1,216,419; 2025: 2,224,8950500,0001,000,0001,500,0002,000,0002,500,00020202025

Sum of all four published quarters of git pushes. One push may include multiple commits. GitHub Innovation Graph: public GitHub activity only. Geography reflects mode location, not nationality. Suppressed small groups are not zeros; not a professional-programmer count.

Source: GitHub Innovation Graph

GitHub organizations at year end

21,302 organizations latest value, 2025

Hungary: GitHub organizations at year end2020: 9,286; 2025: 21,30205,00010,00015,00020,00025,00020202025

Fourth-quarter end snapshot; includes inactive accounts/organizations/repositories. GitHub Innovation Graph: public GitHub activity only. Geography reflects mode location, not nationality. Suppressed small groups are not zeros; not a professional-programmer count.

Source: GitHub Innovation Graph

GitHub repositories at year end

952,793 repositories latest value, 2025

Hungary: GitHub repositories at year end2020: 384,741; 2025: 952,7930200,000400,000600,000800,0001,000,00020202025

Fourth-quarter end snapshot; includes inactive accounts/organizations/repositories. GitHub Innovation Graph: public GitHub activity only. Geography reflects mode location, not nationality. Suppressed small groups are not zeros; not a professional-programmer count.

Source: GitHub Innovation Graph

High-technology exports (% of manufactured exports)

22.6 % of manufactured exports latest value, 2024

Hungary: High-technology exports (% of manufactured exports)2007: 26.1; 2024: 22.60102030201020152020

High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery.

Source: High-technology exports (% of manufactured exports)

Research and development expenditure (% of GDP)

1.4 % of GDP latest value, 2023

Hungary: Research and development expenditure (% of GDP)1996: 0.6; 2023: 1.400.511.5220002005201020152020

Gross domestic expenditures on research and development (R&D), expressed as a percent of GDP. They include both capital and current expenditures in the four main sectors: Business enterprise, Government, Higher education and Private non-profit. R&D covers basic research, applied research, and experimental development.

Source: Research and development expenditure (% of GDP)

R&D expenditure per inhabitant

282.2 euro per inhabitant latest value, 2024

Hungary: R&D expenditure per inhabitant1987: 41.9; 2024: 282.201002003001990200020102020

Gross domestic R&D expenditure, all sectors, current euro per inhabitant, Eurostat. Exchange-rate and inflation changes remain.

Source: GERD by sector of performance

Researchers in R&D (per million people)

4,567.1 full-time equivalents per million people latest value, 2023

Hungary: Researchers in R&D (per million people)1996: 1,009.1; 2023: 4,567.101,0002,0003,0004,0005,00020002005201020152020

The number of researchers engaged in Research &Development (R&D), expressed as per million. Researchers are professionals who conduct research and improve or develop concepts, theories, models techniques instrumentation, software of operational methods. R&D covers basic research, applied research, and experimental development.

Source: Researchers in R&D (per million people)

Patent applications, residents

433 applications per year latest value, 2021

Hungary: Patent applications, residents1980: 1,601; 2021: 43301,0002,0003,0004,00019801990200020102020

Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a new technical solution to a problem. A patent provides protection for the invention to the owner of the patent for a limited period, generally 20 years.

Source: Patent applications, residents

Business R&D, % of GDP

0.99 % of GDP latest value, 2024

Hungary: Business R&D, % of GDP1991: 0.42; 2024: 0.9900.511.5199520002005201020152020

BERD — R&D performed by businesses, as a share of GDP. It is part of GERD; the rest is performed by government institutes, universities and non-profits. Counted by who performs the work, not by who pays for it. OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

Government-sector R&D, % of GDP

0.13 % of GDP latest value, 2024

Hungary: Government-sector R&D, % of GDP1991: 0.25; 2024: 0.1300.10.20.30.4199520002005201020152020

GOVERD — R&D performed by government research bodies (excluding universities), as a share of GDP. Part of GERD; counted by performer, not by source of funds. OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

University R&D, % of GDP

0.18 % of GDP latest value, 2024

Hungary: University R&D, % of GDP1991: 0.21; 2024: 0.1800.050.10.150.20.25199520002005201020152020

HERD — R&D performed by universities and other higher-education institutions, as a share of GDP. Part of GERD; counted by performer, not by source of funds. OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

R&D funded by business

49.4 % of GERD latest value, 2023

Hungary: R&D funded by business1987: 79.1; 2023: 49.40204060801990200020102020

Share of all domestic R&D spending (GERD) paid for by businesses, whoever performed the work. GERD is all R&D performed in the country, whoever performs it: businesses, government institutes, universities and non-profits (Frascati Manual). OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

R&D funded by government

30.2 % of GERD latest value, 2023

Hungary: R&D funded by government1987: 19.8; 2023: 30.202040601990200020102020

Share of all domestic R&D spending (GERD) paid for by government, including public money for universities. GERD is all R&D performed in the country, whoever performs it: businesses, government institutes, universities and non-profits (Frascati Manual). OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

R&D funded from abroad

19.3 % of GERD latest value, 2023

Hungary: R&D funded from abroad1987: 1.1; 2023: 19.3051015201990200020102020

Share of domestic R&D spending (GERD) paid for from abroad: foreign companies, international organisations, EU programmes. GERD is all R&D performed in the country, whoever performs it: businesses, government institutes, universities and non-profits (Frascati Manual). OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

R&D spending, billion dollars

5 billion USD PPP, 2020 prices latest value, 2024

Hungary: R&D spending, billion dollars1991: 2; 2024: 502468199520002005201020152020

All domestic R&D spending (GERD) in billions of US dollars at purchasing power parity, constant 2020 prices, so years compare without inflation. GERD is all R&D performed in the country, whoever performs it: businesses, government institutes, universities and non-profits (Frascati Manual). OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

Researchers per 1,000 employed

9.3 per 1,000 employed, FTE latest value, 2024

Hungary: Researchers per 1,000 employed1992: 2.8; 2024: 9.30246810199520002005201020152020

Researchers in full-time equivalents (FTE: two half-timers count as one) per 1,000 people employed. Researchers only, excluding technicians and support staff; not a headcount. OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

Researchers, thousands

44.4 thousand full-time equivalents latest value, 2024

Hungary: Researchers, thousands1981: 22.3; 2024: 44.4010203040501990200020102020

Researchers in all sectors in full-time equivalents (two half-timers count as one), thousands. Excludes technicians and support staff; the headcount is usually larger. OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

Government R&D budget, billion dollars

1 billion USD PPP, 2020 prices latest value, 2024

Hungary: Government R&D budget, billion dollars2005: 1.1; 2024: 100.511.522005201020152020

GBARD — R&D appropriations in the central government budget, billions of US dollars at PPP, 2020 prices. A budget, not GERD spending: it includes money spent abroad and given to international organisations, and excludes business money. OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

Defence share of government R&D budget

2.9 % of GBARD latest value, 2024

Hungary: Defence share of government R&D budget2005: 0.1; 2024: 2.902468102005201020152020

Share of government R&D appropriations (GBARD) earmarked for defence. GBARD is a budget, not actual spending. OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

Space share of civil government R&D budget

12 % of civil GBARD latest value, 2024

Hungary: Space share of civil government R&D budget2005: 2.3; 2024: 120510152005201020152020

Share of civil government R&D appropriations (GBARD excluding defence) for space exploration and exploitation. Military space is not included. OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

Triadic patent families

29 families per year latest value, 2023

Hungary: Triadic patent families1985: 44; 2023: 2902040601990200020102020

Inventions filed at all three of the European, Japanese and US patent offices, by inventors' country and priority year, fractionally counted across co-inventing countries. Applications, not grants; counts inventions, not individual filings. OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

Government R&D budget, % of GDP

0.27 % of GDP latest value, 2024

Hungary: Government R&D budget, % of GDP2005: 0.4; 2024: 0.2700.20.40.60.82005201020152020

GBARD — central government R&D appropriations as a share of GDP, both in national currency at current prices from the same OECD table. A budget, not GERD spending; business money is not included. OECD, Main Science and Technology Indicators.

Source: OECD Main Science and Technology Indicators (MSTI)

Business R&D per inhabitant

213.5 euro per inhabitant latest value, 2024

Hungary: Business R&D per inhabitant1987: 23.4; 2024: 213.50501001502002501990200020102020

R&D performed by businesses (BERD), euros at current prices per inhabitant. Counted by who performs the work, not by who pays. Eurostat, rd_e_gerdtot (sector BES).

Source: Eurostat research and development statistics

Researchers, thousand people

68 thousand people latest value, 2024

Hungary: Researchers, thousand people1980: 38.7; 2024: 6802040608019801990200020102020

Number of people working as researchers in all sectors — each person counts once, however many hours they spend on research (headcount). Hence larger than full-time equivalents (researchers_fte). Eurostat, rd_p_persocc.

Source: Eurostat research and development statistics

Women among researchers

29.8 % of researchers latest value, 2023

Hungary: Women among researchers1996: 32.5; 2023: 29.801020304020002005201020152020

Share of women among researchers in all sectors (business, government, higher education, non-profit), by headcount: each person counts once, however many hours they spend on research. Not the share among paper authors or inventors. UNESCO Institute for Statistics (UIS), indicator FRESP.THC.

Source: UNESCO Institute for Statistics (UIS): science, technology and innovation

Patent applications by origin, worldwide

1,213 applications per year latest value, 2024

Hungary: Patent applications by origin, worldwide1980: 1,661; 2024: 1,21301,0002,0003,0004,00019801990200020102020

All applications for patents for inventions filed in a year by applicants from the country at any patent office worldwide — at home and abroad (direct filings and PCT national phase entries). Country = first applicant's address (origin), not the filing office. Applications, not grants; one invention filed in five countries counts five times. Residents' filings at their own office are a separate series, resident_patent_applications. WIPO IP Statistics Data Center (the last update is stated in the export file).

Source: WIPO IP Statistics Data Center

Patent applications abroad by origin

594 applications per year latest value, 2024

Hungary: Patent applications abroad by origin1980: 60; 2024: 594020040060080019801990200020102020

Applications for patents for inventions filed in a year by applicants from the country at foreign and regional offices (such as the European Patent Office): how much the country's inventions seek protection in other markets. Country = first applicant's address; applications, not grants. WIPO IP Statistics Data Center (the last update is stated in the export file).

Source: WIPO IP Statistics Data Center

PCT international patent applications

162 applications per year latest value, 2025

Hungary: PCT international patent applications1995: 63; 2025: 1620501001502001995200020052010201520202025

International applications under the Patent Cooperation Treaty (PCT) by filing date and first applicant's country. One PCT application defers the choice of countries where the invention will be protected; it is neither a patent nor a filing at a particular office. The incomplete current year is excluded. WIPO IP Statistics Data Center (the last update is stated in the export file).

Source: WIPO IP Statistics Data Center

Contribution to ESA programmes

22 million euro latest value, 2026

Hungary: Contribution to ESA programmes2016: 5; 2026: 22051015202520202025

What the country contributes to the budget of European Space Agency programmes in a year, million euro at current prices, from ESA's yearly "ESA budget" infographic. A budget for the year, not actual spending; EU and EUMETSAT money that ESA spends on their behalf is not included, nor are national space agencies.

Source: European Space Agency: yearly "ESA budget" infographics

Electric cars: share of new car sales

14 % of new car sales latest value, 2025

Hungary: Electric cars: share of new car sales2015: 0.2; 2025: 14051015201520202025

Share of electric cars among all new cars sold in the year. Sales are new cars in the year, not all cars on the road (that is the stock). Electric cars are battery-electric (BEV) and plug-in hybrids (PHEV, a battery charged from the grid plus a petrol engine); ordinary hybrids without a plug and fuel-cell cars are not included. IEA, Global EV Data Explorer (Global EV Outlook), CC BY 4.0.

Source: IEA: Global EV Data Explorer (Global EV Outlook)

Electric cars: new car sales

18,000 cars a year latest value, 2025

Hungary: Electric cars: new car sales2015: 130; 2025: 18,00005,00010,00015,00020,000201520202025

New electric cars sold in the year. Electric cars are battery-electric (BEV) and plug-in hybrids (PHEV, a battery charged from the grid plus a petrol engine); ordinary hybrids without a plug and fuel-cell cars are not included. IEA rounds values to two significant figures. IEA, Global EV Data Explorer (Global EV Outlook), CC BY 4.0.

Source: IEA: Global EV Data Explorer (Global EV Outlook)

Battery-electric cars (BEV): sales

11,000 cars a year latest value, 2025

Hungary: Battery-electric cars (BEV): sales2015: 120; 2025: 11,00005,00010,00015,000201520202025

New battery-electric cars (BEV: battery only, no combustion engine) sold in the year. Plug-in hybrids are not included. IEA rounds values to two significant figures. IEA, Global EV Data Explorer (Global EV Outlook), CC BY 4.0.

Source: IEA: Global EV Data Explorer (Global EV Outlook)

Plug-in hybrid cars (PHEV): sales

7,100 cars a year latest value, 2025

Hungary: Plug-in hybrid cars (PHEV): sales2015: 15; 2025: 7,10002,0004,0006,0008,000201520202025

New plug-in hybrid cars (PHEV: battery charged from the grid plus a combustion engine) sold in the year. Ordinary hybrids without a plug are not included. IEA rounds values to two significant figures. IEA, Global EV Data Explorer (Global EV Outlook), CC BY 4.0.

Source: IEA: Global EV Data Explorer (Global EV Outlook)

New cars: battery-electric (BEV), share

8.5 % of new car registrations latest value, 2025

Hungary: New cars: battery-electric (BEV), share2013: 0; 2025: 8.50246810201520202025

Share of first registrations of new passenger cars in the year (close to sales; not the whole stock). Battery-electric: battery and electric motor only, no petrol or diesel engine (Eurostat code ELC). Eurostat, road_eqr_carpda.

Source: Eurostat: new passenger car registrations and the car stock by motor energy (road_eqr_carpda, road_eqs_carpda)

New cars: plug-in hybrids (PHEV), share

5.5 % of new car registrations latest value, 2025

Hungary: New cars: plug-in hybrids (PHEV), share2020: 2.3; 2025: 5.5024620202025

Share of first registrations of new passenger cars in the year (close to sales; not the whole stock). Plug-in hybrids: a battery charged from the grid plus a petrol or diesel engine (ELC_PET_PI + ELC_DIE_PI). Eurostat, road_eqr_carpda.

Source: Eurostat: new passenger car registrations and the car stock by motor energy (road_eqr_carpda, road_eqs_carpda)

New cars: hybrids without a plug, share

50.5 % of new car registrations latest value, 2025

Hungary: New cars: hybrids without a plug, share2013: 0.9; 2025: 50.50204060201520202025

Share of first registrations of new passenger cars in the year (close to sales; not the whole stock). Ordinary hybrids without a plug (full and mild): the engine charges the battery; these are not electric cars (ELC_PET_HYB + ELC_DIE_HYB). Eurostat, road_eqr_carpda.

Source: Eurostat: new passenger car registrations and the car stock by motor energy (road_eqr_carpda, road_eqs_carpda)

New battery-electric cars (BEV): registrations

11,002 cars a year latest value, 2025

Hungary: New battery-electric cars (BEV): registrations2013: 10; 2025: 11,00205,00010,00015,000201520202025

First registrations of new battery-electric passenger cars in the year (close to sales). Battery-electric: battery and electric motor only, no petrol or diesel engine (Eurostat code ELC). Eurostat, road_eqr_carpda.

Source: Eurostat: new passenger car registrations and the car stock by motor energy (road_eqr_carpda, road_eqs_carpda)

All cars on the road: battery-electric (BEV), share

2 % of all passenger cars latest value, 2025

Hungary: All cars on the road: battery-electric (BEV), share2013: 0; 2025: 200.511.52201520202025

Share of all registered passenger cars at the end of the year (the stock, not the sales of the year). Battery-electric: battery and electric motor only, no petrol or diesel engine (Eurostat code ELC). Eurostat, road_eqs_carpda.

Source: Eurostat: new passenger car registrations and the car stock by motor energy (road_eqr_carpda, road_eqs_carpda)

All cars on the road: plug-in hybrids (PHEV), share

0.2 % of all passenger cars latest value, 2025

Hungary: All cars on the road: plug-in hybrids (PHEV), share2013: 0; 2025: 0.200.10.20.3201520202025

Share of all registered passenger cars at the end of the year (the stock, not the sales of the year). Plug-in hybrids: a battery charged from the grid plus a petrol or diesel engine (ELC_PET_PI + ELC_DIE_PI). Eurostat, road_eqs_carpda.

Source: Eurostat: new passenger car registrations and the car stock by motor energy (road_eqr_carpda, road_eqs_carpda)

All cars on the road: hybrids without a plug, share

6.8 % of all passenger cars latest value, 2025

Hungary: All cars on the road: hybrids without a plug, share2013: 0; 2025: 6.802468201520202025

Share of all registered passenger cars at the end of the year (the stock, not the sales of the year). Ordinary hybrids without a plug (full and mild): the engine charges the battery; these are not electric cars (ELC_PET_HYB + ELC_DIE_HYB). Eurostat, road_eqs_carpda.

Source: Eurostat: new passenger car registrations and the car stock by motor energy (road_eqr_carpda, road_eqs_carpda)

Communities and participation

Proportion of seats held by women in national parliaments (%)

15.6 % of seats latest value, 2025

Hungary: Proportion of seats held by women in national parliaments (%)1997: 11.4; 2025: 15.605101520200020052010201520202025

Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.

Source: Proportion of seats held by women in national parliaments (%)

Religion and beliefs

Christians — population share

72.4 % of population latest value, 2020

Hungary: Christians — population share2010: 72.6; 2020: 72.4020406080201020152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Christians — population

7,060 thousand persons latest value, 2020

Hungary: Christians — population2010: 7,240; 2020: 7,06002,0004,0006,0008,000201020152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Muslims — population share

0.1 % of population latest value, 2020

Hungary: Muslims — population share2020: 0.1; 2020: 0.10000.10.10.10.120152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Muslims — population

10 thousand persons latest value, 2020

Hungary: Muslims — population2020: 10; 2020: 1002468101220152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Religiously unaffiliated — population share

27 % of population latest value, 2020

Hungary: Religiously unaffiliated — population share2010: 25; 2020: 270102030201020152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Religiously unaffiliated — population

2,630 thousand persons latest value, 2020

Hungary: Religiously unaffiliated — population2010: 2,490; 2020: 2,63001,0002,0003,000201020152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Buddhists — population share

0.2 % of population latest value, 2020

Hungary: Buddhists — population share2010: 0.1; 2020: 0.200.10.10.20.20.3201020152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Buddhists — population

20 thousand persons latest value, 2020

Hungary: Buddhists — population2010: 10; 2020: 200510152025201020152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Jews — population share

0.1 % of population latest value, 2020

Hungary: Jews — population share2010: 0.2; 2020: 0.100.10.10.20.20.3201020152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Jews — population

10 thousand persons latest value, 2020

Hungary: Jews — population2010: 20; 2020: 100510152025201020152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Other religions — population share

0.1 % of population latest value, 2020

Hungary: Other religions — population share2010: 2.1; 2020: 0.100.511.522.5201020152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Other religions — population

10 thousand persons latest value, 2020

Hungary: Other religions — population2010: 210; 2020: 10050100150200250201020152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Religious diversity — country rank

63 rank among 201 latest value, 2020

Hungary: Religious diversity — country rank2010: 56; 2020: 63020406080201020152020

Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Religious diversity index

4.7 index points (0–10) latest value, 2020

Hungary: Religious diversity index2010: 4.8; 2020: 4.7012345201020152020

Pew index, 0–10, based on seven broad groups. 10 means seven equal groups; 0 means everyone belongs to one group. Does not measure religious freedom, intensity of belief or conflict. Values below 0.1 are retained as bounds in the table. Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Religious composition: balance between two groups

7.9 index points (0–10) latest value, 2020

Hungary: Religious composition: balance between two groups2010: 7.7; 2020: 7.902468201020152020

Pew index, 0–10, based on seven broad groups. 10 means two equal groups, which may be any two religions. It is not an affiliated/unaffiliated index. Does not measure religious freedom, intensity of belief or conflict. Values below 0.1 are retained as bounds in the table. Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Religiously affiliated — population share

73 % of population latest value, 2020

Hungary: Religiously affiliated — population share2010: 75; 2020: 73020406080201020152020

Macroscope calculation: total population minus Unaffiliated. A subtotal of six religious groups, not an eighth group or a count of believers in God. Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Religiously affiliated — population

7,120 thousand persons latest value, 2020

Hungary: Religiously affiliated — population2010: 7,490; 2020: 7,12002,0004,0006,0008,000201020152020

Macroscope calculation: total population minus Unaffiliated. A subtotal of six religious groups, not an eighth group or a count of believers in God. Pew estimates for all ages in 2010 and 2020 from the same revised 2025 release. Harmonised census/survey religious identification, not practising believers. Unaffiliated does not mean atheist or without beliefs. Other religions include folk traditions, Sikhs, Jains, Baha’is and others. The 2026 appendix displays shares below 0.1% as <0.1%; the interactive table displays populations below 10,000 as <10,000; these are retained as bounds in dimensions.operator and omitted from exact chart points. Other counts are rounded to 10,000 and shares to 0.1 percentage point. No intervening years are filled. Affiliated is a derived subtotal of the six religious groups and must not be added to them. Regions/world overlap with countries and must not be summed. Diversity ranks describe only the seven broad groups; a larger rank means less diversity, not less freedom.

Source: Pew Research Center: religious composition, 2010 and 2020

Religiously affiliated adults

79 % of adults latest value, 2024

Hungary: Religiously affiliated adults2024: 79; 2024: 790204060802020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Religion is very important in life

7 % of adults latest value, 2024

Hungary: Religion is very important in life2024: 7; 2024: 7024682020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Belief in God

63 % of adults latest value, 2024

Hungary: Belief in God2024: 63; 2024: 630204060802020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Animals can have spirits or spiritual energies

51 % of adults latest value, 2024

Hungary: Animals can have spirits or spiritual energies2024: 51; 2024: 5102040602020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Nature can have spirits or spiritual energies

45 % of adults latest value, 2024

Hungary: Nature can have spirits or spiritual energies2024: 45; 2024: 45010203040502020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Objects can have spirits or spiritual energies

34 % of adults latest value, 2024

Hungary: Objects can have spirits or spiritual energies2024: 34; 2024: 340102030402020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Something spiritual beyond the natural world

42 % of adults latest value, 2024

Hungary: Something spiritual beyond the natural world2024: 42; 2024: 42010203040502020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Definitely or probably life after death

45 % of adults latest value, 2024

Hungary: Definitely or probably life after death2024: 45; 2024: 45010203040502020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Ancestors’ spirits can help or hurt

32 % of adults latest value, 2024

Hungary: Ancestors’ spirits can help or hurt2024: 32; 2024: 320102030402020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Belief in reincarnation

34 % of adults latest value, 2024

Hungary: Belief in reincarnation2024: 34; 2024: 340102030402020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Belief that magic and curses affect lives

25 % of adults latest value, 2024

Hungary: Belief that magic and curses affect lives2024: 25; 2024: 250510152025302020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Prayer at least daily

11 % of adults latest value, 2024

Hungary: Prayer at least daily2024: 11; 2024: 110510152020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Religious services at least monthly

15 % of adults latest value, 2024

Hungary: Religious services at least monthly2024: 15; 2024: 15051015202020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Fasting during holy times

29 % of adults latest value, 2024

Hungary: Fasting during holy times2024: 29; 2024: 2901020302020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Consulting fortune tellers or horoscopes

17 % of adults latest value, 2024

Hungary: Consulting fortune tellers or horoscopes2024: 17; 2024: 17051015202020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Lighting candles or incense for spiritual reasons

24 % of adults latest value, 2024

Hungary: Lighting candles or incense for spiritual reasons2024: 24; 2024: 2405101520252020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Wearing or carrying religious items or symbols

23 % of adults latest value, 2024

Hungary: Wearing or carrying religious items or symbols2024: 23; 2024: 2305101520252020

Pew weighted adult survey responses, rounded to integer percentages; surveyed countries are not a representative sample of the world. Most observations are from 2024; US animal/nature/object spirits and afterlife are from 2023, while affiliation, importance, prayer, attendance and spirituality beyond nature use the 2023–2024 RLS. The table retains the full survey period and English response wording. Affiliation, beliefs and practice are different concepts. Do not multiply adult percentages by all-age population; 100 minus affiliation does not identify atheists. Thirteen missing cells remain missing: 12 questions not asked in Tunisia and one Bangladesh response excluded after a translation error. Rounded zero is not evidence of no people; small differences are not declared significant without uncertainty estimates. Russian labels are Macroscope’s and have not been reviewed or endorsed by Pew.

Source: Pew Research Center: beliefs and practices, 2023–2024 surveys

Government restrictions on religion

2.2 index points (0–10) latest value, 2023

Hungary: Government restrictions on religion2023: 2.2; 2023: 2.200.511.522.52020

Pew coding of published materials for 2023, 198 countries and territories. Scores from 0 to 10, not population percentages. GRI covers government restrictions; SHI covers hostile acts by private individuals and groups. They measure different things and must not be summed. North Korea is not scored due to insufficient reliable observations; missing is not no restrictions. Released June 15, 2026.

Source: Pew Research Center: religious restrictions and social hostilities

Social hostilities involving religion

2 index points (0–10) latest value, 2023

Hungary: Social hostilities involving religion2023: 2; 2023: 200.511.522.52020

Pew coding of published materials for 2023, 198 countries and territories. Scores from 0 to 10, not population percentages. GRI covers government restrictions; SHI covers hostile acts by private individuals and groups. They measure different things and must not be summed. North Korea is not scored due to insufficient reliable observations; missing is not no restrictions. Released June 15, 2026.

Source: Pew Research Center: religious restrictions and social hostilities

Catholicism: retained since childhood

57 % of all adults latest value, 2024

Hungary: Catholicism: retained since childhood2024: 57; 2024: 5702040602020

Percentages of ALL adults in each country, surveyed in 2024 (US 2023–2024), published April 23, 2026. Raised, remained, left and joined compare childhood with current identity, not annual flows. Categories overlap: retained affiliation is included in raised. Rounded numbers must not be added to reconstruct current Catholic/Protestant shares. Rounded zero does not mean no people; differences are not declared statistically significant.

Source: Pew Research Center: Catholic and Protestant switching since childhood

Catholicism: left since childhood

2 % of all adults latest value, 2024

Hungary: Catholicism: left since childhood2024: 2; 2024: 20112232020

Percentages of ALL adults in each country, surveyed in 2024 (US 2023–2024), published April 23, 2026. Raised, remained, left and joined compare childhood with current identity, not annual flows. Categories overlap: retained affiliation is included in raised. Rounded numbers must not be added to reconstruct current Catholic/Protestant shares. Rounded zero does not mean no people; differences are not declared statistically significant.

Source: Pew Research Center: Catholic and Protestant switching since childhood

Catholicism: raised in the tradition

59 % of all adults latest value, 2024

Hungary: Catholicism: raised in the tradition2024: 59; 2024: 5902040602020

Percentages of ALL adults in each country, surveyed in 2024 (US 2023–2024), published April 23, 2026. Raised, remained, left and joined compare childhood with current identity, not annual flows. Categories overlap: retained affiliation is included in raised. Rounded numbers must not be added to reconstruct current Catholic/Protestant shares. Rounded zero does not mean no people; differences are not declared statistically significant.

Source: Pew Research Center: Catholic and Protestant switching since childhood

Catholicism: joined since childhood

5 % of all adults latest value, 2024

Hungary: Catholicism: joined since childhood2024: 5; 2024: 501234562020

Percentages of ALL adults in each country, surveyed in 2024 (US 2023–2024), published April 23, 2026. Raised, remained, left and joined compare childhood with current identity, not annual flows. Categories overlap: retained affiliation is included in raised. Rounded numbers must not be added to reconstruct current Catholic/Protestant shares. Rounded zero does not mean no people; differences are not declared statistically significant.

Source: Pew Research Center: Catholic and Protestant switching since childhood

Protestantism: retained since childhood

15 % of all adults latest value, 2024

Hungary: Protestantism: retained since childhood2024: 15; 2024: 15051015202020

Percentages of ALL adults in each country, surveyed in 2024 (US 2023–2024), published April 23, 2026. Raised, remained, left and joined compare childhood with current identity, not annual flows. Categories overlap: retained affiliation is included in raised. Rounded numbers must not be added to reconstruct current Catholic/Protestant shares. Rounded zero does not mean no people; differences are not declared statistically significant.

Source: Pew Research Center: Catholic and Protestant switching since childhood

Protestantism: left since childhood

3 % of all adults latest value, 2024

Hungary: Protestantism: left since childhood2024: 3; 2024: 3012342020

Percentages of ALL adults in each country, surveyed in 2024 (US 2023–2024), published April 23, 2026. Raised, remained, left and joined compare childhood with current identity, not annual flows. Categories overlap: retained affiliation is included in raised. Rounded numbers must not be added to reconstruct current Catholic/Protestant shares. Rounded zero does not mean no people; differences are not declared statistically significant.

Source: Pew Research Center: Catholic and Protestant switching since childhood

Protestantism: raised in the tradition

18 % of all adults latest value, 2024

Hungary: Protestantism: raised in the tradition2024: 18; 2024: 18051015202020

Percentages of ALL adults in each country, surveyed in 2024 (US 2023–2024), published April 23, 2026. Raised, remained, left and joined compare childhood with current identity, not annual flows. Categories overlap: retained affiliation is included in raised. Rounded numbers must not be added to reconstruct current Catholic/Protestant shares. Rounded zero does not mean no people; differences are not declared statistically significant.

Source: Pew Research Center: Catholic and Protestant switching since childhood

Protestantism: joined since childhood

1 % of all adults latest value, 2024

Hungary: Protestantism: joined since childhood2024: 1; 2024: 100011112020

Percentages of ALL adults in each country, surveyed in 2024 (US 2023–2024), published April 23, 2026. Raised, remained, left and joined compare childhood with current identity, not annual flows. Categories overlap: retained affiliation is included in raised. Rounded numbers must not be added to reconstruct current Catholic/Protestant shares. Rounded zero does not mean no people; differences are not declared statistically significant.

Source: Pew Research Center: Catholic and Protestant switching since childhood

Christians among immigrants — share

66.9 % of migrants latest value, 2020

Hungary: Christians among immigrants — share1990: 72; 2020: 66.90204060801990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Christians among immigrants — population

390 thousand persons latest value, 2020

Hungary: Christians among immigrants — population1990: 250; 2020: 39001002003004001990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Muslims among immigrants — share

5.5 % of migrants latest value, 2020

Hungary: Muslims among immigrants — share1990: 8.5; 2020: 5.502468101990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Muslims among immigrants — population

30 thousand persons latest value, 2020

Hungary: Muslims among immigrants — population1990: 30; 2020: 30010203040501990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Religiously unaffiliated among immigrants — share

23.8 % of migrants latest value, 2020

Hungary: Religiously unaffiliated among immigrants — share1990: 17.8; 2020: 23.805101520251990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Religiously unaffiliated among immigrants — population

140 thousand persons latest value, 2020

Hungary: Religiously unaffiliated among immigrants — population1990: 60; 2020: 1400501001501990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Buddhists among immigrants — share

1.6 % of migrants latest value, 2020

Hungary: Buddhists among immigrants — share1990: 0.6; 2020: 1.600.511.521990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Hindus among immigrants — share

0.4 % of migrants latest value, 2020

Hungary: Hindus among immigrants — share1990: 0.2; 2020: 0.400.10.20.30.40.51990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Jews among immigrants — share

0.8 % of migrants latest value, 2020

Hungary: Jews among immigrants — share1990: 0.5; 2020: 0.800.20.40.60.811990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Other religions among immigrants — share

1 % of migrants latest value, 2020

Hungary: Other religions among immigrants — share1990: 0.4; 2020: 100.511.51990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Christians among emigrants — share

74 % of migrants latest value, 2020

Hungary: Christians among emigrants — share1990: 75.2; 2020: 740204060801990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Christians among emigrants — population

550 thousand persons latest value, 2020

Hungary: Christians among emigrants — population1990: 310; 2020: 55002004006001990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Muslims among emigrants — share

1 % of migrants latest value, 2020

Hungary: Muslims among emigrants — share1990: 0.8; 2020: 100.20.40.60.811.21990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Religiously unaffiliated among emigrants — share

16.8 % of migrants latest value, 2020

Hungary: Religiously unaffiliated among emigrants — share1990: 15.3; 2020: 16.8051015201990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Religiously unaffiliated among emigrants — population

130 thousand persons latest value, 2020

Hungary: Religiously unaffiliated among emigrants — population1990: 60; 2020: 1300501001501990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Buddhists among emigrants — share

0.6 % of migrants latest value, 2020

Hungary: Buddhists among emigrants — share1990: 0.5; 2020: 0.600.20.40.61990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Hindus among emigrants — share

0.3 % of migrants latest value, 2020

Hungary: Hindus among emigrants — share1990: 0.2; 2020: 0.300.10.20.31990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Jews among emigrants — share

6.4 % of migrants latest value, 2020

Hungary: Jews among emigrants — share1990: 7.3; 2020: 6.402468101990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Jews among emigrants — population

50 thousand persons latest value, 2020

Hungary: Jews among emigrants — population1990: 30; 2020: 5001020304050601990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Other religions among emigrants — share

0.8 % of migrants latest value, 2020

Hungary: Other religions among emigrants — share1990: 0.6; 2020: 0.800.20.40.60.811990199520002005201020152020

Pew 2024 estimates of international migrant stocks at seven dates, 1990–2020. Incoming means migrants living in a country; Outgoing means people from that country living abroad. These are not annual flows or shares of all residents. Based on international migrant data and estimates of religious composition, not a census of practising believers. Incoming and Outgoing overlap; world totals must not be added to countries. Counts are rounded to 10,000; smaller counts remain <10,000 bounds and are omitted from exact chart points. Shares use migrants in the same direction as denominator, rounded to 0.1 percentage point; 0.0% does not establish absence. Shares for 22 Incoming records with zero total are undefined and omitted. Vatican City Incoming is missing. Unaffiliated does not mean atheist. This release is not spliced with the revised 2025 all-population estimates.

Source: Pew Research Center: religion of international migrants

Religion very important: EVS

16.3 % of valid answers latest value, 2018

Hungary: Religion very important: EVS2018: 16.3; 2018: 16.3051015202015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Religion not at all important: EVS

20.5 % of valid answers latest value, 2018

Hungary: Religion not at all important: EVS2018: 20.5; 2018: 20.505101520252015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Belong to a denomination: EVS

45 % of valid answers latest value, 2018

Hungary: Belong to a denomination: EVS2018: 45; 2018: 45010203040502015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

No denominational affiliation: EVS

55 % of valid answers latest value, 2018

Hungary: No denominational affiliation: EVS2018: 55; 2018: 5502040602015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Never attend services: EVS

41.4 % of valid answers latest value, 2018

Hungary: Never attend services: EVS2018: 41.4; 2018: 41.4010203040502015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Identify as religious: EVS

54.9 % of valid answers latest value, 2018

Hungary: Identify as religious: EVS2018: 54.9; 2018: 54.902040602015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Identify as non-religious: EVS

38.1 % of valid answers latest value, 2018

Hungary: Identify as non-religious: EVS2018: 38.1; 2018: 38.10102030402015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Identify as convinced atheists: EVS

7 % of valid answers latest value, 2018

Hungary: Identify as convinced atheists: EVS2018: 7; 2018: 7024682015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Believe in God: EVS

71.1 % of valid answers latest value, 2018

Hungary: Believe in God: EVS2018: 71.1; 2018: 71.10204060802015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Do not believe in God: EVS

28.9 % of valid answers latest value, 2018

Hungary: Do not believe in God: EVS2018: 28.9; 2018: 28.901020302015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Believe in life after death: EVS

46.1 % of valid answers latest value, 2018

Hungary: Believe in life after death: EVS2018: 46.1; 2018: 46.1010203040502015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Believe in hell: EVS

29.7 % of valid answers latest value, 2018

Hungary: Believe in hell: EVS2018: 29.7; 2018: 29.701020302015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Believe in heaven: EVS

44.4 % of valid answers latest value, 2018

Hungary: Believe in heaven: EVS2018: 44.4; 2018: 44.4010203040502015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Believe in reincarnation: EVS

30.9 % of valid answers latest value, 2018

Hungary: Believe in reincarnation: EVS2018: 30.9; 2018: 30.90102030402015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Belief in a personal God: EVS

33.4 % of valid answers latest value, 2018

Hungary: Belief in a personal God: EVS2018: 33.4; 2018: 33.40102030402015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Belief in a spirit or life force: EVS

30.4 % of valid answers latest value, 2018

Hungary: Belief in a spirit or life force: EVS2018: 30.4; 2018: 30.40102030402015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Unsure what to think about God: EVS

18 % of valid answers latest value, 2018

Hungary: Unsure what to think about God: EVS2018: 18; 2018: 18051015202015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

No God, spirit or life force: EVS

18.2 % of valid answers latest value, 2018

Hungary: No God, spirit or life force: EVS2018: 18.2; 2018: 18.2051015202015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Daily prayer: EVS

17.9 % of valid answers latest value, 2018

Hungary: Daily prayer: EVS2018: 17.9; 2018: 17.9051015202015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Never pray: EVS

35.5 % of valid answers latest value, 2018

Hungary: Never pray: EVS2018: 35.5; 2018: 35.50102030402015

EVS 2017, ZA7500 v5.0.0: published weighted tables, fieldwork 2017–2021. Percentages use valid answers to each question; do-not-know and refusal responses are excluded. The gweight calibration adjusts age, sex, education and region. Rounded weighted valid/missing frequencies are retained; they are neither population counts nor actual interview counts. Q17 distinguishes a religious person, a non-religious person and a convinced atheist: self-description, not affiliation. Q20 “do not know what to think” is not relabelled agnosticism. Q13a describes only respondents naming a denomination, not all adults. Great Britain excludes Northern Ireland and is retained as a region. Chart year is the fieldwork end year; the full period is retained in the table. Rounded 0.0% is not an exact zero; blank cells remain absent. Small differences are not declared significant without uncertainty estimates. Source: EVS, GESIS (2022), EVS 2017 Variable Report, GESIS-Variable Reports 2022/05; EVS (2022), ZA7500 v5.0.0, doi:10.4232/1.13897. Only selected aggregates from the public report are republished, not microdata.

Source: EVS 2017: public weighted tables

Catholics — population, 2010 estimate

6,050 thousand persons latest value, 2010

Hungary: Catholics — population, 2010 estimate2010: 6,050; 2010: 6,05002,0004,0006,0008,00020052010

Historical all-age estimates for 2010 from Pew’s 2011 release, 232 countries/territories. Pew’s 2025 revision does not update this detailed split: do not splice into the revised Christian total series. Affiliation, not practice. Protestant includes Anglicans and independent churches; Orthodox includes Eastern and Oriental Orthodox churches. Other Christians include, among others, Latter-day Saints and Jehovah’s Witnesses under the source classification. Counts of at least 10,000 are rounded to 10,000; <1,000 and <10,000 remain bounds in the typed table only. The source states that <10,000 means 1,000–9,999, not zero. World is the sum of the five regions in the same release. Netherlands Antilles and Channel Islands are not assigned to a single present-day country. Geography follows the 2011 release; South Sudan is separate. Macroscope analysis. Pew Research Center bears no responsibility for the analyses or interpretations of the data presented here. The opinions expressed herein, including any implications for policy, are those of the author and not of Pew Research Center. Pew Research Center has published the original content in English but has not reviewed or approved this translation.

Source: Pew: Christian traditions, 2010 estimates (2011 release)

Protestants — population, 2010 estimate

2,160 thousand persons latest value, 2010

Hungary: Protestants — population, 2010 estimate2010: 2,160; 2010: 2,16005001,0001,5002,0002,50020052010

Historical all-age estimates for 2010 from Pew’s 2011 release, 232 countries/territories. Pew’s 2025 revision does not update this detailed split: do not splice into the revised Christian total series. Affiliation, not practice. Protestant includes Anglicans and independent churches; Orthodox includes Eastern and Oriental Orthodox churches. Other Christians include, among others, Latter-day Saints and Jehovah’s Witnesses under the source classification. Counts of at least 10,000 are rounded to 10,000; <1,000 and <10,000 remain bounds in the typed table only. The source states that <10,000 means 1,000–9,999, not zero. World is the sum of the five regions in the same release. Netherlands Antilles and Channel Islands are not assigned to a single present-day country. Geography follows the 2011 release; South Sudan is separate. Macroscope analysis. Pew Research Center bears no responsibility for the analyses or interpretations of the data presented here. The opinions expressed herein, including any implications for policy, are those of the author and not of Pew Research Center. Pew Research Center has published the original content in English but has not reviewed or approved this translation.

Source: Pew: Christian traditions, 2010 estimates (2011 release)

Eastern and Oriental Orthodox — population, 2010 estimate

20 thousand persons latest value, 2010

Hungary: Eastern and Oriental Orthodox — population, 2010 estimate2010: 20; 2010: 20051015202520052010

Historical all-age estimates for 2010 from Pew’s 2011 release, 232 countries/territories. Pew’s 2025 revision does not update this detailed split: do not splice into the revised Christian total series. Affiliation, not practice. Protestant includes Anglicans and independent churches; Orthodox includes Eastern and Oriental Orthodox churches. Other Christians include, among others, Latter-day Saints and Jehovah’s Witnesses under the source classification. Counts of at least 10,000 are rounded to 10,000; <1,000 and <10,000 remain bounds in the typed table only. The source states that <10,000 means 1,000–9,999, not zero. World is the sum of the five regions in the same release. Netherlands Antilles and Channel Islands are not assigned to a single present-day country. Geography follows the 2011 release; South Sudan is separate. Macroscope analysis. Pew Research Center bears no responsibility for the analyses or interpretations of the data presented here. The opinions expressed herein, including any implications for policy, are those of the author and not of Pew Research Center. Pew Research Center has published the original content in English but has not reviewed or approved this translation.

Source: Pew: Christian traditions, 2010 estimates (2011 release)

Other Christians — population, 2010 estimate

30 thousand persons latest value, 2010

Hungary: Other Christians — population, 2010 estimate2010: 30; 2010: 3001020304020052010

Historical all-age estimates for 2010 from Pew’s 2011 release, 232 countries/territories. Pew’s 2025 revision does not update this detailed split: do not splice into the revised Christian total series. Affiliation, not practice. Protestant includes Anglicans and independent churches; Orthodox includes Eastern and Oriental Orthodox churches. Other Christians include, among others, Latter-day Saints and Jehovah’s Witnesses under the source classification. Counts of at least 10,000 are rounded to 10,000; <1,000 and <10,000 remain bounds in the typed table only. The source states that <10,000 means 1,000–9,999, not zero. World is the sum of the five regions in the same release. Netherlands Antilles and Channel Islands are not assigned to a single present-day country. Geography follows the 2011 release; South Sudan is separate. Macroscope analysis. Pew Research Center bears no responsibility for the analyses or interpretations of the data presented here. The opinions expressed herein, including any implications for policy, are those of the author and not of Pew Research Center. Pew Research Center has published the original content in English but has not reviewed or approved this translation.

Source: Pew: Christian traditions, 2010 estimates (2011 release)

Internet and communication freedom

Internet freedom: overall score

69 points out of 100 latest value, 2025

Hungary: Internet freedom: overall score2019: 72; 2025: 6902040608020202025

Freedom House expert assessment; higher scores mean more freedom, not a percentage of people or sites. Year denotes the edition, assessing June 1 of the previous year through May 31 of that year. Total is access (0–25) plus content (0–35) plus user rights (0–40). Country coverage is neither a random sample nor the entire world. History starts in 2019, when the source reversed its scale; the 2025 production process was reduced due to budget constraints. Detailed questions cover 2025 only; gaps remain missing.

Source: Freedom House: Freedom on the Net

Internet freedom: access score

21 points out of 25 latest value, 2025

Hungary: Internet freedom: access score2019: 21; 2025: 21051015202520202025

Freedom House expert assessment; higher scores mean more freedom, not a percentage of people or sites. Year denotes the edition, assessing June 1 of the previous year through May 31 of that year. Total is access (0–25) plus content (0–35) plus user rights (0–40). Country coverage is neither a random sample nor the entire world. History starts in 2019, when the source reversed its scale; the 2025 production process was reduced due to budget constraints. Detailed questions cover 2025 only; gaps remain missing.

Source: Freedom House: Freedom on the Net

Internet freedom: content score

23 points out of 35 latest value, 2025

Hungary: Internet freedom: content score2019: 24; 2025: 23051015202520202025

Freedom House expert assessment; higher scores mean more freedom, not a percentage of people or sites. Year denotes the edition, assessing June 1 of the previous year through May 31 of that year. Total is access (0–25) plus content (0–35) plus user rights (0–40). Country coverage is neither a random sample nor the entire world. History starts in 2019, when the source reversed its scale; the 2025 production process was reduced due to budget constraints. Detailed questions cover 2025 only; gaps remain missing.

Source: Freedom House: Freedom on the Net

Internet freedom: user-rights score

25 points out of 40 latest value, 2025

Hungary: Internet freedom: user-rights score2019: 27; 2025: 25010203020202025

Freedom House expert assessment; higher scores mean more freedom, not a percentage of people or sites. Year denotes the edition, assessing June 1 of the previous year through May 31 of that year. Total is access (0–25) plus content (0–35) plus user rights (0–40). Country coverage is neither a random sample nor the entire world. History starts in 2019, when the source reversed its scale; the 2025 production process was reduced due to budget constraints. Detailed questions cover 2025 only; gaps remain missing.

Source: Freedom House: Freedom on the Net

Connectivity freedom: infrastructure control

6 points out of 6 latest value, 2025

Hungary: Connectivity freedom: infrastructure control2025: 6; 2025: 60246820202025

Freedom House expert assessment; higher scores mean more freedom, not a percentage of people or sites. Year denotes the edition, assessing June 1 of the previous year through May 31 of that year. Total is access (0–25) plus content (0–35) plus user rights (0–40). Country coverage is neither a random sample nor the entire world. History starts in 2019, when the source reversed its scale; the 2025 production process was reduced due to budget constraints. Detailed questions cover 2025 only; gaps remain missing.

Source: Freedom House: Freedom on the Net

Content freedom: website and VPN blocking

4 points out of 6 latest value, 2025

Hungary: Content freedom: website and VPN blocking2025: 4; 2025: 401234520202025

Freedom House expert assessment; higher scores mean more freedom, not a percentage of people or sites. Year denotes the edition, assessing June 1 of the previous year through May 31 of that year. Total is access (0–25) plus content (0–35) plus user rights (0–40). Country coverage is neither a random sample nor the entire world. History starts in 2019, when the source reversed its scale; the 2025 production process was reduced due to budget constraints. Detailed questions cover 2025 only; gaps remain missing.

Source: Freedom House: Freedom on the Net

Content freedom: forced removal

2 points out of 4 latest value, 2025

Hungary: Content freedom: forced removal2025: 2; 2025: 201122320202025

Freedom House expert assessment; higher scores mean more freedom, not a percentage of people or sites. Year denotes the edition, assessing June 1 of the previous year through May 31 of that year. Total is access (0–25) plus content (0–35) plus user rights (0–40). Country coverage is neither a random sample nor the entire world. History starts in 2019, when the source reversed its scale; the 2025 production process was reduced due to budget constraints. Detailed questions cover 2025 only; gaps remain missing.

Source: Freedom House: Freedom on the Net

Online rights: punishment for online activity

5 points out of 6 latest value, 2025

Hungary: Online rights: punishment for online activity2025: 5; 2025: 5012345620202025

Freedom House expert assessment; higher scores mean more freedom, not a percentage of people or sites. Year denotes the edition, assessing June 1 of the previous year through May 31 of that year. Total is access (0–25) plus content (0–35) plus user rights (0–40). Country coverage is neither a random sample nor the entire world. History starts in 2019, when the source reversed its scale; the 2025 production process was reduced due to budget constraints. Detailed questions cover 2025 only; gaps remain missing.

Source: Freedom House: Freedom on the Net

Online rights: anonymity and encryption

2 points out of 4 latest value, 2025

Hungary: Online rights: anonymity and encryption2025: 2; 2025: 201122320202025

Freedom House expert assessment; higher scores mean more freedom, not a percentage of people or sites. Year denotes the edition, assessing June 1 of the previous year through May 31 of that year. Total is access (0–25) plus content (0–35) plus user rights (0–40). Country coverage is neither a random sample nor the entire world. History starts in 2019, when the source reversed its scale; the 2025 production process was reduced due to budget constraints. Detailed questions cover 2025 only; gaps remain missing.

Source: Freedom House: Freedom on the Net

Online rights: state surveillance

2 points out of 6 latest value, 2025

Hungary: Online rights: state surveillance2025: 2; 2025: 201122320202025

Freedom House expert assessment; higher scores mean more freedom, not a percentage of people or sites. Year denotes the edition, assessing June 1 of the previous year through May 31 of that year. Total is access (0–25) plus content (0–35) plus user rights (0–40). Country coverage is neither a random sample nor the entire world. History starts in 2019, when the source reversed its scale; the 2025 production process was reduced due to budget constraints. Detailed questions cover 2025 only; gaps remain missing.

Source: Freedom House: Freedom on the Net

Markets and valuations

Equity price change (WDI)

−33.46 % per year latest value, 2022

Hungary: Equity price change (WDI)1996: 99.9; 2022: −33.4602040608010020002005201020152020

Annual equity index price change, without adding dividends. WDI describes USD S&P BMI indices but separately specifies local prices and CAC40, DAX, Nikkei, FTSE and S&P500 for France, Germany, Japan, the UK and US. Do not treat all countries as one USD portfolio. Coverage and currency bases differ; a historical sample, not live quotes. Source definition: S&P Global Equity Indices measure the U.S. dollar price change in the stock markets covered by the S&P BMI country indices.

Source: World Bank WDI: financial markets (WFE, IMF)

Stock market capitalisation / GDP

25.39 % of GDP latest value, 2025

Hungary: Stock market capitalisation / GDP2002: 19.2; 2025: 25.3901020304020052010201520202025

Year-end market value of listed domestic equities divided by annual GDP: a stock/flow ratio, not P/E or a bubble diagnosis. Foreign revenues and the share of business outside exchanges vary across countries. India, 2025: WDI reports USD 10.56 trillion of capitalisation, while NSE Market Pulse January 2026 reports about USD 5.3 trillion for India. The reason is unresolved. That year’s capitalisation and capitalisation/GDP are retained in the typed dataset with quality=source_discrepancy but excluded from annual charts and automatic analysis pending review. Source definition: Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values.

Source: World Bank WDI: financial markets (WFE, IMF)

Listed domestic equity capitalisation

62.59 US$ bn latest value, 2025

Hungary: Listed domestic equity capitalisation2002: 12.99; 2025: 62.5902040608020052010201520202025

Price times outstanding shares at year end, in current US dollars. Funds and companies that only hold other companies’ shares are excluded. Changes include repricing, listings, delistings and exchange rates; this is not portfolio return. India, 2025: WDI reports USD 10.56 trillion of capitalisation, while NSE Market Pulse January 2026 reports about USD 5.3 trillion for India. The reason is unresolved. That year’s capitalisation and capitalisation/GDP are retained in the typed dataset with quality=source_discrepancy but excluded from annual charts and automatic analysis pending review. Source definition: Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.

Source: World Bank WDI: financial markets (WFE, IMF)

Equity trading value / GDP

5.3 % of GDP latest value, 2025

Hungary: Equity trading value / GDP2002: 9.82; 2025: 5.301020304020052010201520202025

Annual value of domestic and foreign shares traded divided by GDP, counting one side of each transaction. Trading volume is neither market capitalisation nor invested savings. Source definition: The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.

Source: World Bank WDI: financial markets (WFE, IMF)

Domestic equity turnover ratio

17.75 % per year latest value, 2024

Hungary: Domestic equity turnover ratio2002: 51.14; 2024: 17.750501001502005201020152020

Domestic shares traded relative to their capitalisation; WDI annualises the monthly average by multiplying by 12. High turnover measures trading activity, not investment return. Source definition: Turnover ratio is the value of domestic shares traded divided by their market capitalization. The value is annualized by multiplying the monthly average by 12.

Source: World Bank WDI: financial markets (WFE, IMF)

Listed domestic companies

70 companies latest value, 2025

Hungary: Listed domestic companies1990: 6; 2025: 7002040608019901995200020052010201520202025

Companies with listed shares at year end, including foreign companies exclusively listed locally. Multiple share classes count as one company; investment funds are excluded. Source definition: Listed domestic companies, including foreign companies which are exclusively listed, are those which have shares listed on an exchange at the end of the year. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies, such as holding companies and investment companies, regardless of their legal status, are excluded. A company with several classes of shares is counted once. Only companies admitted to listing on the exchange are included.

Source: World Bank WDI: financial markets (WFE, IMF)

Private-sector credit / GDP

32.37 % of GDP latest value, 2024

Hungary: Private-sector credit / GDP1982: 46.34; 2024: 32.370204060801990200020102020

Financial resources supplied to the private sector by financial corporations relative to GDP. Includes loans and other debt claims; country coverage differs. Neither government debt nor mortgages alone. Source definition: Domestic credit to private sector refers to financial resources provided to the private sector by financial corporations, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises. The financial corporations include monetary authorities and deposit money banks, as well as other financial corporations where data are available (including corporations that do not accept transferable deposits but do incur such liabilities as time and savings deposits). Examples of other financial corporations are finance and leasing companies, money lenders, insurance corporations, pension funds, and foreign exchange companies. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.

Source: World Bank WDI: financial markets (WFE, IMF)

Bank nonperforming loans

2.63 % of gross loans latest value, 2025

Hungary: Bank nonperforming loans2008: 3.23; 2025: 2.63051015202010201520202025

Loans 90+ days overdue or unlikely to be repaid in full divided by gross loans, before provisions and collateral deductions. National rules and coverage can differ. Source definition: The indicator measures the proportion of a deposit taker’s loan portfolio that is impaired or at risk of default. It is calculated as the ratio of non-performing loans (NPLs) to total gross loans, where NPLs are defined as loans that are past due by 90 days or more or are otherwise considered unlikely to be repaid in full without the realization of collateral. Both non-performing loans and total gross loans should be reported at their gross book value, without deducting for loan-loss provisions or collateral. This indicator provides a key measure of asset quality and potential credit risk in the banking system.

Source: World Bank WDI: financial markets (WFE, IMF)

Equities: latest month (OECD)

714.47 2015 = 100 latest value, 2026

Hungary: Equities: latest month (OECD)1991: 3.93; 2026: 714.4702004006008001995200020052010201520202025

The annual axis selects the last published month of each year, labelled with its actual date. The current year is incomplete; this is neither a full-year mean nor a live quote. OECD national indices, normally monthly means of daily closes, 2015 = 100. Index composition differs across countries; dividends are not added. Index changes are not total-market capitalisation growth. Monthly averages smooth intramonth falls.

Source: OECD: monthly financial markets, national sources

Long-term yields: latest month (OECD)

5.46 % per year latest value, 2026

Hungary: Long-term yields: latest month (OECD)1999: 9.17; 2026: 5.460246810200020052010201520202025

The annual axis selects the last published month of each year, labelled with its actual date. The current year is incomplete; this is neither a full-year mean nor a live quote. National-currency long-term government bond rates, normally around ten years, monthly national-source observations. Maturity, coverage and methodology vary by country. A quoted yield is not investor total return.

Source: OECD: monthly financial markets, national sources

Nominal residential property prices

395.33 index, 2010 = 100 latest value, 2025

Hungary: Nominal residential property prices1990: 14.68; 2025: 395.33010020030040019901995200020052010201520202025

BIS residential property prices in local currency, without inflation adjustment. Mean of four quarters; incomplete years omitted. Housing coverage and methods differ across countries. Compare with BIS real prices; excludes rental income and does not establish a bubble.

Source: BIS: nominal and real residential property prices

Industry and waste

Municipal waste per person

409 kg per person a year latest value, 2024

Hungary: Municipal waste per person1990: 530; 2024: 40902004006001990199520002005201020152020

Municipal waste generated in the year per inhabitant. Municipal waste is collected by or on behalf of municipalities: household waste and similar waste of shops, offices and institutions. Industrial, construction and mining waste are outside it; national scopes differ. OECD, MUNW.

Source: OECD, Municipal waste: generation and treatment (MUNW)

Municipal waste landfilled

53.2 % of treated latest value, 2024

Hungary: Municipal waste landfilled1990: 92.8; 2024: 53.20204060801001990199520002005201020152020

Landfill as a share of municipal waste treated in the year. Municipal waste is collected by or on behalf of municipalities: household waste and similar waste of shops, offices and institutions. Industrial, construction and mining waste are outside it; national scopes differ. OECD, MUNW.

Source: OECD, Municipal waste: generation and treatment (MUNW)

Municipal waste recycled

19.5 % of treated latest value, 2024

Hungary: Municipal waste recycled1990: 0; 2024: 19.501020301990199520002005201020152020

Material recycling (composting excluded) as a share of municipal waste treated in the year, as reported by the country; not the secondary material finally produced. Municipal waste is collected by or on behalf of municipalities: household waste and similar waste of shops, offices and institutions. Industrial, construction and mining waste are outside it; national scopes differ. OECD, MUNW.

Source: OECD, Municipal waste: generation and treatment (MUNW)

Municipal waste composted

14 % of treated latest value, 2024

Hungary: Municipal waste composted1990: 0; 2024: 140510151990199520002005201020152020

Composting and digestion as a share of municipal waste treated in the year. Municipal waste is collected by or on behalf of municipalities: household waste and similar waste of shops, offices and institutions. Industrial, construction and mining waste are outside it; national scopes differ. OECD, MUNW.

Source: OECD, Municipal waste: generation and treatment (MUNW)

Municipal waste incinerated

13.2 % of treated latest value, 2024

Hungary: Municipal waste incinerated1990: 7.2; 2024: 13.2051015201990199520002005201020152020

Incineration, with and without energy recovery, as a share of municipal waste treated in the year. Municipal waste is collected by or on behalf of municipalities: household waste and similar waste of shops, offices and institutions. Industrial, construction and mining waste are outside it; national scopes differ. OECD, MUNW.

Source: OECD, Municipal waste: generation and treatment (MUNW)

Packaging waste per person

165.8 kg per person a year latest value, 2022

Hungary: Packaging waste per person2004: 80.6; 2022: 165.80501001502002005201020152020

All packaging that became waste in the year (paper, plastic, glass, metal, wood, other) per inhabitant. Eurostat equates it with packaging placed on the market. Eurostat, env_waspac.

Source: Eurostat, waste statistics (env_waspac, env_wasgen)

Plastic packaging waste per person

44.5 kg per person a year latest value, 2022

Hungary: Plastic packaging waste per person2004: 16.3; 2022: 44.5010203040502005201020152020

Plastic packaging that became waste in the year per inhabitant (Eurostat). Eurostat, env_waspac.

Source: Eurostat, waste statistics (env_waspac, env_wasgen)

Packaging recycling rate

42.4 % of packaging waste generated latest value, 2022

Hungary: Packaging recycling rate2004: 43.3; 2022: 42.402040602005201020152020

Recycled packaging as a percentage of packaging waste generated, all materials. From 2020 Eurostat measures recycling at a new calculation point (after sorting, closer to actual recycling), so rates before and after 2020 are not fully comparable. Eurostat, env_waspac.

Source: Eurostat, waste statistics (env_waspac, env_wasgen)

Plastic packaging recycling rate

27.6 % of plastic packaging waste generated latest value, 2022

Hungary: Plastic packaging recycling rate2004: 14; 2022: 27.60102030402005201020152020

Recycled plastic packaging as a percentage of plastic packaging waste generated: recycling, not collection for recycling. From 2020 Eurostat measures recycling at a new calculation point (after sorting, closer to actual recycling), so rates before and after 2020 are not fully comparable. Eurostat, env_waspac.

Source: Eurostat, waste statistics (env_waspac, env_wasgen)

All waste per person (all activities and households)

2,850 kg per person a year latest value, 2022

Hungary: All waste per person (all activities and households)2004: 2,440; 2022: 2,85001,0002,0003,0002005201020152020

All waste generated in the year by all economic activities and households per inhabitant, including mineral waste from construction and mining (soil, rock), usually the largest part. Reported every two years (2004-2022). Not municipal waste, which covers only household and similar waste collected by municipalities. Eurostat, env_wasgen.

Source: Eurostat, waste statistics (env_waspac, env_wasgen)

Waste excluding major mineral waste per person

1,600 kg per person a year latest value, 2022

Hungary: Waste excluding major mineral waste per person2004: 1,864; 2022: 1,60005001,0001,5002,0002005201020152020

Waste from all activities and households excluding major mineral wastes (soil, rock, construction and demolition waste) per inhabitant; Eurostat uses it to compare countries with different construction and mining. Reported every two years (2004-2022). Not municipal waste, which covers only household and similar waste collected by municipalities. Eurostat, env_wasgen.

Source: Eurostat, waste statistics (env_waspac, env_wasgen)

Household waste per person

510 kg per person a year latest value, 2022

Hungary: Household waste per person2004: 439; 2022: 51002004006002005201020152020

Waste generated by households themselves per inhabitant. Not equal to municipal waste, which also includes similar waste from shops and offices. Reported every two years (2004-2022). Not municipal waste, which covers only household and similar waste collected by municipalities. Eurostat, env_wasgen.

Source: Eurostat, waste statistics (env_waspac, env_wasgen)

Manufacturing waste per person

455 kg per person a year latest value, 2022

Hungary: Manufacturing waste per person2004: 502; 2022: 45502004006002005201020152020

Waste generated by manufacturing (NACE section C) per inhabitant of the country. Reported every two years (2004-2022). Not municipal waste, which covers only household and similar waste collected by municipalities. Eurostat, env_wasgen.

Source: Eurostat, waste statistics (env_waspac, env_wasgen)

Industrial production index

93.6 index, 2021 = 100 latest value, 2025

Hungary: Industrial production index2000: 49.2; 2025: 93.6050100150200020052010201520202025

Volume of industrial output: mining, manufacturing, electricity and gas (NACE sections B-D). Volume index of output, 2021 = 100, calendar adjusted. Compares a country only with itself, not countries with each other. Eurostat, sts_inpr_a.

Source: Eurostat, short-term business statistics (sts_inpr_a)

Manufacturing production index

94.1 index, 2021 = 100 latest value, 2025

Hungary: Manufacturing production index2000: 45.7; 2025: 94.1050100150200020052010201520202025

Volume of manufacturing output (NACE section C): factories, excluding mining and energy. Volume index of output, 2021 = 100, calendar adjusted. Compares a country only with itself, not countries with each other. Eurostat, sts_inpr_a.

Source: Eurostat, short-term business statistics (sts_inpr_a)

Industrial production (OECD index)

110.7 index, 2015 = 100 latest value, 2025

Hungary: Industrial production (OECD index)1980: 40.7; 2025: 110.705010015019801990200020102020

Industrial output volume — mining, manufacturing, electricity, gas and water (ISIC B-E), annual average, 2015 = 100. It tracks physical volume, not revenue; compare countries by their change, not by their level. OECD short-term statistics (production volume, not seasonally adjusted).

Source: OECD short-term statistics: industrial production index

Manufacturing, share of GDP

15.1 % of GDP latest value, 2025

Hungary: Manufacturing, share of GDP1995: 18.1; 2025: 15.105101520251995200020052010201520202025

Manufacturing value added (ISIC section C: factories, excluding mining, utilities and construction) as a percentage of GDP. The share can fall while output grows if the rest of the economy grows faster. World Bank, WDI. Source note: Manufacturing includes industries classified in ISIC (Rev. 3) major division C and is defined as the physical or chemical transformation of materials or components into new products. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.

Source: World Bank WDI: national accounts (industry)

Industry incl. construction, share of GDP

23 % of GDP latest value, 2025

Hungary: Industry incl. construction, share of GDP1995: 25.7; 2025: 2301020301995200020052010201520202025

Value added of industry in the broad sense (mining, manufacturing, utilities and construction; ISIC B-F) as a percentage of GDP. World Bank, WDI. Source note: Industry (including construction) corresponds to ISIC (Rev.4) divisions 05-43. It is comprised of mining, manufacturing, construction, electricity, water, and gas industries. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of Gross Domestic Product (GDP) which is the total income earned through the production of goods and services in an economic territory during an accounting period.

Source: World Bank WDI: national accounts (industry)

Manufacturing value added per person

2,635 constant 2015 US$ per person latest value, 2025

Hungary: Manufacturing value added per person1995: 1,118; 2025: 2,63501,0002,0003,0001995200020052010201520202025

Manufacturing value added at constant 2015 US dollars divided by population (UN WPP 2024): factory output net of inputs, not revenue. World Bank, WDI. Source note: Manufacturing includes industries classified in ISIC (Rev. 3) major division C and is defined as the physical or chemical transformation of materials or components into new products. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.

Source: World Bank WDI: national accounts (industry)

Manufacturing value added per person (UNIDO)

2,933 constant 2020 US$ per person latest value, 2025

Hungary: Manufacturing value added per person (UNIDO)2000: 1,773; 2025: 2,93301,0002,0003,0004,000200020052010201520202025

Manufacturing value added (ISIC section C) per person at constant 2020 US dollars. UNIDO National Accounts Database via the UN SDG database (indicator 9.2.1). Differs from the World Bank series by its base year (2020 rather than 2015) and UNIDO estimates for countries without recent accounts. Series: Manufacturing value added per capita (constant 2020 United States dollars).

Source: UNIDO via the UN SDG database: manufacturing value added

Manufacturing, share of GDP (UNIDO)

15.9 % of GDP latest value, 2025

Hungary: Manufacturing, share of GDP (UNIDO)2000: 17.6; 2025: 15.90510152025200020052010201520202025

Manufacturing value added as a percentage of GDP, constant prices. UNIDO via the UN SDG database (indicator 9.2.1). Series: Manufacturing value added (constant 2020 United States dollars) as a proportion of GDP (%).

Source: UNIDO via the UN SDG database: manufacturing value added

Coal production

2.1 million tonnes a year latest value, 2025

Hungary: Coal production1981: 25.9; 2025: 2.101020301990200020102020

Hard coal and lignite in physical tonnes (not adjusted for energy content), million tonnes a year. Source: Energy Institute, Statistical Review of World Energy 2026 (via the Our World in Data copy).

Source: Energy Institute: Statistical Review of World Energy 2026

E-waste generated

15.9 kg per person a year latest value, 2023

Hungary: E-waste generated2019: 10.6; 2023: 15.9051015202020

Discarded electrical and electronic equipment — from phones and lamps to fridges and solar panels — kg per person a year. A UNITAR model estimate from sales and lifetimes, not weighed waste. UNITAR (Global E-waste Monitor) via the UN SDG database.

Source: UNITAR Global E-waste Monitor via the UN SDG database

E-waste formally collected

8.2 kg per person a year latest value, 2023

Hungary: E-waste formally collected2005: 1.5; 2023: 8.202468102005201020152020

E-waste collected and documented by formal take-back systems, kg per person a year. Collected is not recycled: part is exported or lost; undocumented collection and recycling are not included. UNITAR (Global E-waste Monitor) via the UN SDG database.

Source: UNITAR Global E-waste Monitor via the UN SDG database

E-waste recycled

6.5 kg per person a year latest value, 2023

Hungary: E-waste recycled2005: 1.2; 2023: 6.5024682005201020152020

E-waste recycled in documented, environmentally sound conditions, kg per person a year. UNITAR (Global E-waste Monitor) via the UN SDG database.

Source: UNITAR Global E-waste Monitor via the UN SDG database

Municipal waste per person (World Bank)

404 kg per person a year latest value, 2022

Hungary: Municipal waste per person (World Bank)2022: 404; 2022: 40401002003004005002020

Municipal solid waste generation, kg per person a year (kg a day × 365). Municipal solid waste: households plus similar waste from shops, institutions and streets — excluding industrial, construction and mining waste. One reported year a country, the years differ. World Bank, What a Waste 3.0 (2026).

Source: World Bank: What a Waste 3.0 (2026)

Municipal waste sent to recycling

24 % of municipal waste latest value, 2022

Hungary: Municipal waste sent to recycling2022: 24; 2022: 2405101520252020

Share of municipal waste sent to recycling, as reported by the country. Sent is not the same as recycled: sorting rejects and exports are included; composting and incineration are not. Municipal solid waste: households plus similar waste from shops, institutions and streets — excluding industrial, construction and mining waste. One reported year a country, the years differ. World Bank, What a Waste 3.0 (2026).

Source: World Bank: What a Waste 3.0 (2026)

Education and skills

PISA: reading, mean score of 15-year-olds

473 PISA points latest value, 2022

Hungary: PISA: reading, mean score of 15-year-olds2000: 480; 2022: 473010020030040050020002005201020152020

Mean score in the OECD PISA test of reading literacy. Tested: 15-year-old students (aged 15y3m-16y2m, grade 7 or above), a sample in each country; every three years, the 2021 cycle postponed to 2022 because of COVID. PISA scale: in the cycle when the domain was first the major one (2000) the OECD mean = 500, standard deviation = 100; the series is comparable from 2000. A 10-15 point change between cycles is often within the error (standard errors and significance are in the education_pisa dataset). In 2015 the test moved from paper to computer and to a new scaling model: the link to earlier cycles holds, with a link error of a few points. In 2022 several countries (United States, United Kingdom, Canada, Netherlands, Ireland, Denmark, Australia, New Zealand and others) missed sampling standards — compare with caution. Values come from the trend tables of the latest OECD report listing the country (PISA 2022, else 2018, 2015, 2012, 2009 Vol. V). China took part only as provinces (B-S-J-G/Z, Shanghai), not shown here; Russia took part 2000-2018, not in 2022; Argentina, Kazakhstan and Malaysia 2015 are not comparable and not shown, nor is Viet Nam reading 2022. Source: OECD, PISA 2022 Results, Vol. I.

Source: OECD, PISA — Programme for International Student Assessment (PISA 2009-2022 results, StatLink tables)

PISA: mathematics, mean score of 15-year-olds

473 PISA points latest value, 2022

Hungary: PISA: mathematics, mean score of 15-year-olds2003: 490; 2022: 47301002003004005002005201020152020

Mean score in the OECD PISA test of mathematical literacy. Tested: 15-year-old students (aged 15y3m-16y2m, grade 7 or above), a sample in each country; every three years, the 2021 cycle postponed to 2022 because of COVID. PISA scale: in the cycle when the domain was first the major one (2003) the OECD mean = 500, standard deviation = 100; the series is comparable from 2003. A 10-15 point change between cycles is often within the error (standard errors and significance are in the education_pisa dataset). In 2015 the test moved from paper to computer and to a new scaling model: the link to earlier cycles holds, with a link error of a few points. In 2022 several countries (United States, United Kingdom, Canada, Netherlands, Ireland, Denmark, Australia, New Zealand and others) missed sampling standards — compare with caution. Values come from the trend tables of the latest OECD report listing the country (PISA 2022, else 2018, 2015, 2012, 2009 Vol. V). China took part only as provinces (B-S-J-G/Z, Shanghai), not shown here; Russia took part 2000-2018, not in 2022; Argentina, Kazakhstan and Malaysia 2015 are not comparable and not shown, nor is Viet Nam reading 2022. Source: OECD, PISA 2022 Results, Vol. I.

Source: OECD, PISA — Programme for International Student Assessment (PISA 2009-2022 results, StatLink tables)

PISA: science, mean score of 15-year-olds

486 PISA points latest value, 2022

Hungary: PISA: science, mean score of 15-year-olds2006: 504; 2022: 4860200400600201020152020

Mean score in the OECD PISA test of scientific literacy. Tested: 15-year-old students (aged 15y3m-16y2m, grade 7 or above), a sample in each country; every three years, the 2021 cycle postponed to 2022 because of COVID. PISA scale: in the cycle when the domain was first the major one (2006) the OECD mean = 500, standard deviation = 100; the series is comparable from 2006. A 10-15 point change between cycles is often within the error (standard errors and significance are in the education_pisa dataset). In 2015 the test moved from paper to computer and to a new scaling model: the link to earlier cycles holds, with a link error of a few points. In 2022 several countries (United States, United Kingdom, Canada, Netherlands, Ireland, Denmark, Australia, New Zealand and others) missed sampling standards — compare with caution. Values come from the trend tables of the latest OECD report listing the country (PISA 2022, else 2018, 2015, 2012, 2009 Vol. V). China took part only as provinces (B-S-J-G/Z, Shanghai), not shown here; Russia took part 2000-2018, not in 2022; Argentina, Kazakhstan and Malaysia 2015 are not comparable and not shown, nor is Viet Nam reading 2022. Source: OECD, PISA 2022 Results, Vol. I.

Source: OECD, PISA — Programme for International Student Assessment (PISA 2009-2022 results, StatLink tables)

PISA: reading, share of 15-year-olds below baseline

25.9 % of students latest value, 2022

Hungary: PISA: reading, share of 15-year-olds below baseline2009: 17.6; 2022: 25.90102030201020152020

Share of 15-year-olds who did not reach Level 2 in the PISA reading literacy test (below 407 points) — the level the OECD treats as the baseline for full participation in life and learning. Tested: 15-year-old students (aged 15y3m-16y2m, grade 7 or above), a sample in each country; every three years, the 2021 cycle postponed to 2022 because of COVID. Shares are comparable from 2009 (for reading, the latest OECD reports give shares only from 2009). In 2015 the test moved from paper to computer and to a new scaling model: the link to earlier cycles holds, with a link error of a few points. In 2022 several countries (United States, United Kingdom, Canada, Netherlands, Ireland, Denmark, Australia, New Zealand and others) missed sampling standards — compare with caution. Values come from the trend tables of the latest OECD report listing the country (PISA 2022, else 2018, 2015, 2012, 2009 Vol. V). China took part only as provinces (B-S-J-G/Z, Shanghai), not shown here; Russia took part 2000-2018, not in 2022; Argentina, Kazakhstan and Malaysia 2015 are not comparable and not shown, nor is Viet Nam reading 2022. Source: OECD, PISA 2022 Results, Vol. I.

Source: OECD, PISA — Programme for International Student Assessment (PISA 2009-2022 results, StatLink tables)

PISA: mathematics, share of 15-year-olds below baseline

29.5 % of students latest value, 2022

Hungary: PISA: mathematics, share of 15-year-olds below baseline2003: 23; 2022: 29.501020302005201020152020

Share of 15-year-olds who did not reach Level 2 in the PISA mathematical literacy test (below 420 points) — the level the OECD treats as the baseline for full participation in life and learning. Tested: 15-year-old students (aged 15y3m-16y2m, grade 7 or above), a sample in each country; every three years, the 2021 cycle postponed to 2022 because of COVID. Shares are comparable from 2003 (for reading, the latest OECD reports give shares only from 2009). In 2015 the test moved from paper to computer and to a new scaling model: the link to earlier cycles holds, with a link error of a few points. In 2022 several countries (United States, United Kingdom, Canada, Netherlands, Ireland, Denmark, Australia, New Zealand and others) missed sampling standards — compare with caution. Values come from the trend tables of the latest OECD report listing the country (PISA 2022, else 2018, 2015, 2012, 2009 Vol. V). China took part only as provinces (B-S-J-G/Z, Shanghai), not shown here; Russia took part 2000-2018, not in 2022; Argentina, Kazakhstan and Malaysia 2015 are not comparable and not shown, nor is Viet Nam reading 2022. Source: OECD, PISA 2022 Results, Vol. I.

Source: OECD, PISA — Programme for International Student Assessment (PISA 2009-2022 results, StatLink tables)

PISA: science, share of 15-year-olds below baseline

22.9 % of students latest value, 2022

Hungary: PISA: science, share of 15-year-olds below baseline2006: 15; 2022: 22.90102030201020152020

Share of 15-year-olds who did not reach Level 2 in the PISA scientific literacy test (below 410 points) — the level the OECD treats as the baseline for full participation in life and learning. Tested: 15-year-old students (aged 15y3m-16y2m, grade 7 or above), a sample in each country; every three years, the 2021 cycle postponed to 2022 because of COVID. Shares are comparable from 2006 (for reading, the latest OECD reports give shares only from 2009). In 2015 the test moved from paper to computer and to a new scaling model: the link to earlier cycles holds, with a link error of a few points. In 2022 several countries (United States, United Kingdom, Canada, Netherlands, Ireland, Denmark, Australia, New Zealand and others) missed sampling standards — compare with caution. Values come from the trend tables of the latest OECD report listing the country (PISA 2022, else 2018, 2015, 2012, 2009 Vol. V). China took part only as provinces (B-S-J-G/Z, Shanghai), not shown here; Russia took part 2000-2018, not in 2022; Argentina, Kazakhstan and Malaysia 2015 are not comparable and not shown, nor is Viet Nam reading 2022. Source: OECD, PISA 2022 Results, Vol. I.

Source: OECD, PISA — Programme for International Student Assessment (PISA 2009-2022 results, StatLink tables)

PISA: mathematics, share of top performers (Levels 5-6)

7.8 % of students latest value, 2022

Hungary: PISA: mathematics, share of top performers (Levels 5-6)2003: 10.7; 2022: 7.80510152005201020152020

Share of 15-year-olds reaching Level 5 or 6 in the PISA mathematics test (607 points or more): they solve complex modelling and reasoning tasks. Tested: 15-year-old students (aged 15y3m-16y2m, grade 7 or above), a sample in each country; every three years, the 2021 cycle postponed to 2022 because of COVID. Shares are comparable from 2003. In 2015 the test moved from paper to computer and to a new scaling model: the link to earlier cycles holds, with a link error of a few points. In 2022 several countries (United States, United Kingdom, Canada, Netherlands, Ireland, Denmark, Australia, New Zealand and others) missed sampling standards — compare with caution. Values come from the trend tables of the latest OECD report listing the country (PISA 2022, else 2018, 2015, 2012, 2009 Vol. V). China took part only as provinces (B-S-J-G/Z, Shanghai), not shown here; Russia took part 2000-2018, not in 2022; Argentina, Kazakhstan and Malaysia 2015 are not comparable and not shown, nor is Viet Nam reading 2022. Source: OECD, PISA 2022 Results, Vol. I.

Source: OECD, PISA — Programme for International Student Assessment (PISA 2009-2022 results, StatLink tables)

TIMSS: mathematics, grade 4

520 TIMSS score latest value, 2023

Hungary: TIMSS: mathematics, grade 41995: 521; 2023: 5200200400600199520002005201020152020

Average score of students in their fourth year of school (usually grade 4, about 10 years old) in the international TIMSS mathematics test. The TIMSS scale was set in 1995: 500 is the mean of that cycle's countries and 100 points is one standard deviation; the test is repeated every 4 years, and a country's scores from different cycles are comparable when IEA includes them in its trend table. Year is the test year. In 2019 about half the countries tested on computer (eTIMSS), linked to paper through a bridge sample; in 2023 almost all did. Some countries test the next grade up (Norway, South Africa, Turkey) to keep the average age above the IEA minimum. Values IEA flags as not reliably measured (more than 25% of students too low to estimate) are left out. Russia took part until 2019 and is not in TIMSS 2023. Figures come from the TIMSS 2023 trend tables; for countries absent in 2023, from the TIMSS 2019 report. Source: IEA, TIMSS & PIRLS International Study Center.

Source: IEA Trends in International Mathematics and Science Study (TIMSS)

TIMSS: mathematics, grade 8

506 TIMSS score latest value, 2023

Hungary: TIMSS: mathematics, grade 81995: 527; 2023: 5060200400600199520002005201020152020

Average score of students in their eighth year of school (usually grade 8, about 14 years old) in the international TIMSS mathematics test. The TIMSS scale was set in 1995: 500 is the mean of that cycle's countries and 100 points is one standard deviation; the test is repeated every 4 years, and a country's scores from different cycles are comparable when IEA includes them in its trend table. Year is the test year. In 2019 about half the countries tested on computer (eTIMSS), linked to paper through a bridge sample; in 2023 almost all did. Some countries test the next grade up (Norway, South Africa, Turkey) to keep the average age above the IEA minimum. Values IEA flags as not reliably measured (more than 25% of students too low to estimate) are left out. Russia took part until 2019 and is not in TIMSS 2023. Figures come from the TIMSS 2023 trend tables; for countries absent in 2023, from the TIMSS 2019 report. Source: IEA, TIMSS & PIRLS International Study Center.

Source: IEA Trends in International Mathematics and Science Study (TIMSS)

TIMSS: grade 8 students below the Low benchmark in mathematics

13 % of students latest value, 2023

Hungary: TIMSS: grade 8 students below the Low benchmark in mathematics1995: 6; 2023: 13051015199520002005201020152020

Share of students in their eighth year of school (about 14) who score below 400 TIMSS points in mathematics, the Low International Benchmark: basic whole-number operations and reading simple graphs. Computed as 100 minus the IEA-published percentage reaching 400 (whole percentages). The TIMSS scale was set in 1995: 500 is the mean of that cycle's countries and 100 points is one standard deviation; the test is repeated every 4 years, and a country's scores from different cycles are comparable when IEA includes them in its trend table. Year is the test year. In 2019 about half the countries tested on computer (eTIMSS), linked to paper through a bridge sample; in 2023 almost all did. Some countries test the next grade up (Norway, South Africa, Turkey) to keep the average age above the IEA minimum. Values IEA flags as not reliably measured (more than 25% of students too low to estimate) are left out. Russia took part until 2019 and is not in TIMSS 2023. Figures come from the TIMSS 2023 trend tables; for countries absent in 2023, from the TIMSS 2019 report. Source: IEA, TIMSS & PIRLS International Study Center.

Source: IEA Trends in International Mathematics and Science Study (TIMSS)

TIMSS: science, grade 4

524 TIMSS score latest value, 2023

Hungary: TIMSS: science, grade 41995: 508; 2023: 5240200400600199520002005201020152020

Average score of students in their fourth year of school (usually grade 4, about 10 years old) in the international TIMSS science test. The TIMSS scale was set in 1995: 500 is the mean of that cycle's countries and 100 points is one standard deviation; the test is repeated every 4 years, and a country's scores from different cycles are comparable when IEA includes them in its trend table. Year is the test year. In 2019 about half the countries tested on computer (eTIMSS), linked to paper through a bridge sample; in 2023 almost all did. Some countries test the next grade up (Norway, South Africa, Turkey) to keep the average age above the IEA minimum. Values IEA flags as not reliably measured (more than 25% of students too low to estimate) are left out. Russia took part until 2019 and is not in TIMSS 2023. Figures come from the TIMSS 2023 trend tables; for countries absent in 2023, from the TIMSS 2019 report. Source: IEA, TIMSS & PIRLS International Study Center.

Source: IEA Trends in International Mathematics and Science Study (TIMSS)

TIMSS: science, grade 8

522 TIMSS score latest value, 2023

Hungary: TIMSS: science, grade 81995: 537; 2023: 5220200400600199520002005201020152020

Average score of students in their eighth year of school (usually grade 8, about 14 years old) in the international TIMSS science test. The TIMSS scale was set in 1995: 500 is the mean of that cycle's countries and 100 points is one standard deviation; the test is repeated every 4 years, and a country's scores from different cycles are comparable when IEA includes them in its trend table. Year is the test year. In 2019 about half the countries tested on computer (eTIMSS), linked to paper through a bridge sample; in 2023 almost all did. Some countries test the next grade up (Norway, South Africa, Turkey) to keep the average age above the IEA minimum. Values IEA flags as not reliably measured (more than 25% of students too low to estimate) are left out. Russia took part until 2019 and is not in TIMSS 2023. Figures come from the TIMSS 2023 trend tables; for countries absent in 2023, from the TIMSS 2019 report. Source: IEA, TIMSS & PIRLS International Study Center.

Source: IEA Trends in International Mathematics and Science Study (TIMSS)

PIRLS: reading, grade 4

539 PIRLS score latest value, 2021

Hungary: PIRLS: reading, grade 42001: 543; 2021: 53902004006002005201020152020

Average score of students in their fourth year of school (usually grade 4, about 10 years old) in the international PIRLS reading comprehension test. The PIRLS scale was set in 2001: 500 is the mean of that cycle's countries and 100 points is one standard deviation; the test is repeated every 5 years, and a country's scores from different cycles are comparable when IEA includes them in its trend table. Year is the cycle year. In 2021, because of COVID-19, some countries tested the same children at the beginning of grade 5 (at least 4 months older: the United States, Ireland, Hungary, Croatia, Lithuania and others) and six tested a year later (England, Australia, Brazil, Iran, Israel, South Africa); about half the countries tested on computer (digitalPIRLS). Some countries test the next grade up (Norway, grade 5). Values IEA flags as not reliably measured (more than 25% of students too low to estimate) are left out. Russia took part in every cycle 2001-2021; Moscow City is a separate participant. Figures come from the PIRLS 2021 trend tables; for countries absent there, from the PIRLS 2016 report. Source: IEA, TIMSS & PIRLS International Study Center.

Source: IEA Progress in International Reading Literacy Study (PIRLS)

PIRLS: grade 4 students below the Low reading benchmark

6 % of students latest value, 2021

Hungary: PIRLS: grade 4 students below the Low reading benchmark2001: 2; 2021: 6024682005201020152020

Share of students in their fourth year of school (about 10) who score below 400 PIRLS points, the Low International Benchmark: finding an explicitly stated detail in a simple text. Computed as 100 minus the IEA-published percentage reaching 400 (whole percentages). The PIRLS scale was set in 2001: 500 is the mean of that cycle's countries and 100 points is one standard deviation; the test is repeated every 5 years, and a country's scores from different cycles are comparable when IEA includes them in its trend table. Year is the cycle year. In 2021, because of COVID-19, some countries tested the same children at the beginning of grade 5 (at least 4 months older: the United States, Ireland, Hungary, Croatia, Lithuania and others) and six tested a year later (England, Australia, Brazil, Iran, Israel, South Africa); about half the countries tested on computer (digitalPIRLS). Some countries test the next grade up (Norway, grade 5). Values IEA flags as not reliably measured (more than 25% of students too low to estimate) are left out. Russia took part in every cycle 2001-2021; Moscow City is a separate participant. Figures come from the PIRLS 2021 trend tables; for countries absent there, from the PIRLS 2016 report. Source: IEA, TIMSS & PIRLS International Study Center.

Source: IEA Progress in International Reading Literacy Study (PIRLS)

Adult literacy (PIAAC)

249 PIAAC score points latest value, 2023

Hungary: Adult literacy (PIAAC)2017: 264; 2023: 24901002003002020

Mean literacy score of adults aged 16-65 in the OECD PIAAC test (reading and understanding texts). Adults aged 16-65, PIAAC scale 0-500. Year = year of data collection: cycle 1 - 2012 (Russia, Japan, Finland, US, ...), 2015 (Chile, Greece, Israel, Lithuania, New Zealand, Singapore, Slovenia, Turkey), 2017 (Hungary, Mexico, Peru, Ecuador, Kazakhstan and a separate US sample); cycle 2 - 2023 (fieldwork 2022-23, tablets only). The OECD treats literacy and numeracy as comparable across cycles (linked scales); the linking error is about 3 points. Cycle 1 values are as originally published (the 2023 report did not re-estimate them). For countries in both cycles 2023 excludes adults who only did the doorstep interview because of a language barrier, as in the OECD trend tables; for cycle-2-only countries (Latvia, Portugal, Switzerland, Croatia) the headline values are used. Belgium (only Flanders took part) and the UK (England, Northern Ireland) are not in the catalog. Russia: 2012, sample without Moscow; Russia did not take part in cycle 2.

Source: OECD, PIAAC - Survey of Adult Skills

Adult numeracy (PIAAC)

255 PIAAC score points latest value, 2023

Hungary: Adult numeracy (PIAAC)2017: 272; 2023: 25501002003002020

Mean numeracy score of adults aged 16-65 in the OECD PIAAC test. Adults aged 16-65, PIAAC scale 0-500. Year = year of data collection: cycle 1 - 2012 (Russia, Japan, Finland, US, ...), 2015 (Chile, Greece, Israel, Lithuania, New Zealand, Singapore, Slovenia, Turkey), 2017 (Hungary, Mexico, Peru, Ecuador, Kazakhstan and a separate US sample); cycle 2 - 2023 (fieldwork 2022-23, tablets only). The OECD treats literacy and numeracy as comparable across cycles (linked scales); the linking error is about 3 points. Cycle 1 values are as originally published (the 2023 report did not re-estimate them). For countries in both cycles 2023 excludes adults who only did the doorstep interview because of a language barrier, as in the OECD trend tables; for cycle-2-only countries (Latvia, Portugal, Switzerland, Croatia) the headline values are used. Belgium (only Flanders took part) and the UK (England, Northern Ireland) are not in the catalog. Russia: 2012, sample without Moscow; Russia did not take part in cycle 2.

Source: OECD, PIAAC - Survey of Adult Skills

Literacy of young adults aged 16-24 (PIAAC)

255 PIAAC score points latest value, 2023

Hungary: Literacy of young adults aged 16-24 (PIAAC)2017: 270; 2023: 25501002003002020

Mean literacy score of 16-24 year-olds. Adults aged 16-65, PIAAC scale 0-500. Year = year of data collection: cycle 1 - 2012 (Russia, Japan, Finland, US, ...), 2015 (Chile, Greece, Israel, Lithuania, New Zealand, Singapore, Slovenia, Turkey), 2017 (Hungary, Mexico, Peru, Ecuador, Kazakhstan and a separate US sample); cycle 2 - 2023 (fieldwork 2022-23, tablets only). The OECD treats literacy and numeracy as comparable across cycles (linked scales); the linking error is about 3 points. Cycle 1 values are as originally published (the 2023 report did not re-estimate them). For countries in both cycles 2023 excludes adults who only did the doorstep interview because of a language barrier, as in the OECD trend tables; for cycle-2-only countries (Latvia, Portugal, Switzerland, Croatia) the headline values are used. Belgium (only Flanders took part) and the UK (England, Northern Ireland) are not in the catalog. Russia: 2012, sample without Moscow; Russia did not take part in cycle 2.

Source: OECD, PIAAC - Survey of Adult Skills

Literacy of adults aged 55-65 (PIAAC)

230 PIAAC score points latest value, 2023

Hungary: Literacy of adults aged 55-65 (PIAAC)2017: 246; 2023: 2300501001502002502020

Mean literacy score of 55-65 year-olds. Adults aged 16-65, PIAAC scale 0-500. Year = year of data collection: cycle 1 - 2012 (Russia, Japan, Finland, US, ...), 2015 (Chile, Greece, Israel, Lithuania, New Zealand, Singapore, Slovenia, Turkey), 2017 (Hungary, Mexico, Peru, Ecuador, Kazakhstan and a separate US sample); cycle 2 - 2023 (fieldwork 2022-23, tablets only). The OECD treats literacy and numeracy as comparable across cycles (linked scales); the linking error is about 3 points. Cycle 1 values are as originally published (the 2023 report did not re-estimate them). For countries in both cycles 2023 excludes adults who only did the doorstep interview because of a language barrier, as in the OECD trend tables; for cycle-2-only countries (Latvia, Portugal, Switzerland, Croatia) the headline values are used. Belgium (only Flanders took part) and the UK (England, Northern Ireland) are not in the catalog. Russia: 2012, sample without Moscow; Russia did not take part in cycle 2.

Source: OECD, PIAAC - Survey of Adult Skills

Numeracy of young adults aged 16-24 (PIAAC)

255 PIAAC score points latest value, 2023

Hungary: Numeracy of young adults aged 16-24 (PIAAC)2017: 271; 2023: 25501002003002020

Mean numeracy score of 16-24 year-olds. Adults aged 16-65, PIAAC scale 0-500. Year = year of data collection: cycle 1 - 2012 (Russia, Japan, Finland, US, ...), 2015 (Chile, Greece, Israel, Lithuania, New Zealand, Singapore, Slovenia, Turkey), 2017 (Hungary, Mexico, Peru, Ecuador, Kazakhstan and a separate US sample); cycle 2 - 2023 (fieldwork 2022-23, tablets only). The OECD treats literacy and numeracy as comparable across cycles (linked scales); the linking error is about 3 points. Cycle 1 values are as originally published (the 2023 report did not re-estimate them). For countries in both cycles 2023 excludes adults who only did the doorstep interview because of a language barrier, as in the OECD trend tables; for cycle-2-only countries (Latvia, Portugal, Switzerland, Croatia) the headline values are used. Belgium (only Flanders took part) and the UK (England, Northern Ireland) are not in the catalog. Russia: 2012, sample without Moscow; Russia did not take part in cycle 2.

Source: OECD, PIAAC - Survey of Adult Skills

Numeracy of adults aged 55-65 (PIAAC)

240 PIAAC score points latest value, 2023

Hungary: Numeracy of adults aged 55-65 (PIAAC)2017: 257; 2023: 24001002003002020

Mean numeracy score of 55-65 year-olds. Adults aged 16-65, PIAAC scale 0-500. Year = year of data collection: cycle 1 - 2012 (Russia, Japan, Finland, US, ...), 2015 (Chile, Greece, Israel, Lithuania, New Zealand, Singapore, Slovenia, Turkey), 2017 (Hungary, Mexico, Peru, Ecuador, Kazakhstan and a separate US sample); cycle 2 - 2023 (fieldwork 2022-23, tablets only). The OECD treats literacy and numeracy as comparable across cycles (linked scales); the linking error is about 3 points. Cycle 1 values are as originally published (the 2023 report did not re-estimate them). For countries in both cycles 2023 excludes adults who only did the doorstep interview because of a language barrier, as in the OECD trend tables; for cycle-2-only countries (Latvia, Portugal, Switzerland, Croatia) the headline values are used. Belgium (only Flanders took part) and the UK (England, Northern Ireland) are not in the catalog. Russia: 2012, sample without Moscow; Russia did not take part in cycle 2.

Source: OECD, PIAAC - Survey of Adult Skills

Adults with low literacy (PIAAC)

31.9 % of adults 16-65 latest value, 2023

Hungary: Adults with low literacy (PIAAC)2017: 18.6; 2023: 31.90102030402020

Share of adults aged 16-65 at Level 1 or below in PIAAC literacy: they can handle only short, simple texts. In cycle 1 the share is of adults with a score (missing cases for language or reading difficulties excluded), as in the OECD 2023 trend tables. Adults aged 16-65, PIAAC scale 0-500. Year = year of data collection: cycle 1 - 2012 (Russia, Japan, Finland, US, ...), 2015 (Chile, Greece, Israel, Lithuania, New Zealand, Singapore, Slovenia, Turkey), 2017 (Hungary, Mexico, Peru, Ecuador, Kazakhstan and a separate US sample); cycle 2 - 2023 (fieldwork 2022-23, tablets only). The OECD treats literacy and numeracy as comparable across cycles (linked scales); the linking error is about 3 points. Cycle 1 values are as originally published (the 2023 report did not re-estimate them). For countries in both cycles 2023 excludes adults who only did the doorstep interview because of a language barrier, as in the OECD trend tables; for cycle-2-only countries (Latvia, Portugal, Switzerland, Croatia) the headline values are used. Belgium (only Flanders took part) and the UK (England, Northern Ireland) are not in the catalog. Russia: 2012, sample without Moscow; Russia did not take part in cycle 2.

Source: OECD, PIAAC - Survey of Adult Skills

Adaptive problem solving of adults (PIAAC)

241 PIAAC score points latest value, 2023

Hungary: Adaptive problem solving of adults (PIAAC)2023: 241; 2023: 2410501001502002502020

Mean adaptive problem solving score of adults aged 16-65 - a new domain of PIAAC cycle 2 (2023): solving problems whose conditions change along the way. 2023 only: cycle 1 problem solving in technology-rich environments is a different domain with no common items, and the OECD says the two are not comparable. Values include adults who only did the doorstep interview (headline values of the report). Belgium and the UK are not included (only Flanders and England took part).

Source: OECD, PIAAC - Survey of Adult Skills

HBSC: problematic social media use, 15-year-olds

6 % of pupils latest value, 2022

Hungary: HBSC: problematic social media use, 15-year-olds2018: 5; 2022: 6024682020

Share of 15-year-old pupils with six or more of the nine symptoms of the Social Media Disorder Scale (yes/no items: preoccupation, conflicts, lying about time spent and others). First asked in 2017/18. HBSC survey with the WHO Regional Office for Europe: pupils aged 11, 13 and 15 fill in a questionnaire in class, about 1500 per age group and country; waves 2013/14, 2017/18 and 2021/22 (charted at the end year). Value: prevalence for girls and boys combined, the value the HBSC data browser sorts countries by (its charts print whole percentages for girls and boys separately — those are in the education_hbsc dataset). The 2021/22 wave ran under COVID-19 with a relaxed age window (80% instead of 90% of pupils within half a year of the mean age). Participation varies: Russia 2013/14 and 2017/18, Ukraine up to 2017/18. England, Scotland, Wales and the two Belgian communities take part separately and are not shown here (they are in the dataset). Source: HBSC Data Browser; the same numbers are in the annexes of the WHO HBSC 2021/22 reports.

Source: HBSC — Health Behaviour in School-aged Children, WHO Regional Office for Europe collaborative study (HBSC Data Browser, waves 2013/14-2021/22)

HBSC: continuous online contact with friends and others, 15-year-olds

33 % of pupils latest value, 2022

Hungary: HBSC: continuous online contact with friends and others, 15-year-olds2018: 31; 2022: 330102030402020

Share of 15-year-olds in online contact through social media "almost all the time throughout the day" with at least one of four groups: close friends, a larger friend group, friends met online, other people. A frequency of contact, not a symptom of addiction. First asked in 2017/18. HBSC survey with the WHO Regional Office for Europe: pupils aged 11, 13 and 15 fill in a questionnaire in class, about 1500 per age group and country; waves 2013/14, 2017/18 and 2021/22 (charted at the end year). Value: prevalence for girls and boys combined, the value the HBSC data browser sorts countries by (its charts print whole percentages for girls and boys separately — those are in the education_hbsc dataset). The 2021/22 wave ran under COVID-19 with a relaxed age window (80% instead of 90% of pupils within half a year of the mean age). Participation varies: Russia 2013/14 and 2017/18, Ukraine up to 2017/18. England, Scotland, Wales and the two Belgian communities take part separately and are not shown here (they are in the dataset). Source: HBSC Data Browser; the same numbers are in the annexes of the WHO HBSC 2021/22 reports.

Source: HBSC — Health Behaviour in School-aged Children, WHO Regional Office for Europe collaborative study (HBSC Data Browser, waves 2013/14-2021/22)

HBSC: difficulty getting to sleep more than once a week, 15-year-olds

35 % of pupils latest value, 2022

Hungary: HBSC: difficulty getting to sleep more than once a week, 15-year-olds2014: 20; 2022: 3501020304020152020

Share of 15-year-olds who had difficulty getting to sleep more than once a week in the last six months ("about every day" or "more than once a week" of five options). A complaint about falling asleep, not sleep duration. HBSC survey with the WHO Regional Office for Europe: pupils aged 11, 13 and 15 fill in a questionnaire in class, about 1500 per age group and country; waves 2013/14, 2017/18 and 2021/22 (charted at the end year). Value: prevalence for girls and boys combined, the value the HBSC data browser sorts countries by (its charts print whole percentages for girls and boys separately — those are in the education_hbsc dataset). The 2021/22 wave ran under COVID-19 with a relaxed age window (80% instead of 90% of pupils within half a year of the mean age). Participation varies: Russia 2013/14 and 2017/18, Ukraine up to 2017/18. England, Scotland, Wales and the two Belgian communities take part separately and are not shown here (they are in the dataset). Source: HBSC Data Browser; the same numbers are in the annexes of the WHO HBSC 2021/22 reports.

Source: HBSC — Health Behaviour in School-aged Children, WHO Regional Office for Europe collaborative study (HBSC Data Browser, waves 2013/14-2021/22)

HBSC: pressured by schoolwork, 15-year-olds

36 % of pupils latest value, 2022

Hungary: HBSC: pressured by schoolwork, 15-year-olds2014: 22; 2022: 3601020304020152020

Share of 15-year-olds who feel pressured by the schoolwork they have to do "some" or "a lot" (options: not at all, a little, some, a lot). HBSC survey with the WHO Regional Office for Europe: pupils aged 11, 13 and 15 fill in a questionnaire in class, about 1500 per age group and country; waves 2013/14, 2017/18 and 2021/22 (charted at the end year). Value: prevalence for girls and boys combined, the value the HBSC data browser sorts countries by (its charts print whole percentages for girls and boys separately — those are in the education_hbsc dataset). The 2021/22 wave ran under COVID-19 with a relaxed age window (80% instead of 90% of pupils within half a year of the mean age). Participation varies: Russia 2013/14 and 2017/18, Ukraine up to 2017/18. England, Scotland, Wales and the two Belgian communities take part separately and are not shown here (they are in the dataset). Source: HBSC Data Browser; the same numbers are in the annexes of the WHO HBSC 2021/22 reports.

Source: HBSC — Health Behaviour in School-aged Children, WHO Regional Office for Europe collaborative study (HBSC Data Browser, waves 2013/14-2021/22)

HBSC: like school a lot, 15-year-olds

34 % of pupils latest value, 2022

Hungary: HBSC: like school a lot, 15-year-olds2014: 35; 2022: 3401020304020152020

Share of 15-year-olds who answered "I like it a lot" to "how do you feel about school at present" (four options, down to "I don't like it at all"). HBSC survey with the WHO Regional Office for Europe: pupils aged 11, 13 and 15 fill in a questionnaire in class, about 1500 per age group and country; waves 2013/14, 2017/18 and 2021/22 (charted at the end year). Value: prevalence for girls and boys combined, the value the HBSC data browser sorts countries by (its charts print whole percentages for girls and boys separately — those are in the education_hbsc dataset). The 2021/22 wave ran under COVID-19 with a relaxed age window (80% instead of 90% of pupils within half a year of the mean age). Participation varies: Russia 2013/14 and 2017/18, Ukraine up to 2017/18. England, Scotland, Wales and the two Belgian communities take part separately and are not shown here (they are in the dataset). Source: HBSC Data Browser; the same numbers are in the annexes of the WHO HBSC 2021/22 reports.

Source: HBSC — Health Behaviour in School-aged Children, WHO Regional Office for Europe collaborative study (HBSC Data Browser, waves 2013/14-2021/22)

Education and work

Unemployment aged 25-29: below upper secondary (ISCED 0-2) (Eurostat)

13.6 % of labour force latest value, 2025

Hungary: Unemployment aged 25-29: below upper secondary (ISCED 0-2) (Eurostat)1997: 21.3; 2025: 13.6010203040200020052010201520202025

Unemployed as a share of the labour force, people aged 25-29 with below upper secondary (ISCED 0-2) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_urgaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Unemployment aged 25-29: upper secondary and post-secondary non-tertiary (ISCED 3-4) (Eurostat)

5.5 % of labour force latest value, 2025

Hungary: Unemployment aged 25-29: upper secondary and post-secondary non-tertiary (ISCED 3-4) (Eurostat)1997: 8; 2025: 5.5051015200020052010201520202025

Unemployed as a share of the labour force, people aged 25-29 with upper secondary and post-secondary non-tertiary (ISCED 3-4) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_urgaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Unemployment aged 25-29: tertiary (ISCED 5-8) (Eurostat)

4.2 % of labour force latest value, 2025

Hungary: Unemployment aged 25-29: tertiary (ISCED 5-8) (Eurostat)2002: 2.6; 2025: 4.2024681020052010201520202025

Unemployed as a share of the labour force, people aged 25-29 with tertiary (ISCED 5-8) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_urgaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Unemployment aged 25-64: below upper secondary (ISCED 0-2) (Eurostat)

12 % of labour force latest value, 2025

Hungary: Unemployment aged 25-64: below upper secondary (ISCED 0-2) (Eurostat)1997: 12.9; 2025: 120510152025200020052010201520202025

Unemployed as a share of the labour force, people aged 25-64 with below upper secondary (ISCED 0-2) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_urgaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Unemployment aged 25-64: upper secondary and post-secondary non-tertiary (ISCED 3-4) (Eurostat)

3.7 % of labour force latest value, 2025

Hungary: Unemployment aged 25-64: upper secondary and post-secondary non-tertiary (ISCED 3-4) (Eurostat)1997: 7.2; 2025: 3.70246810200020052010201520202025

Unemployed as a share of the labour force, people aged 25-64 with upper secondary and post-secondary non-tertiary (ISCED 3-4) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_urgaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Unemployment aged 25-64: tertiary (ISCED 5-8) (Eurostat)

1.8 % of labour force latest value, 2025

Hungary: Unemployment aged 25-64: tertiary (ISCED 5-8) (Eurostat)1997: 1.7; 2025: 1.8012345200020052010201520202025

Unemployed as a share of the labour force, people aged 25-64 with tertiary (ISCED 5-8) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_urgaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Employment aged 25-29: below upper secondary (ISCED 0-2) (Eurostat)

59.9 % of population latest value, 2025

Hungary: Employment aged 25-29: below upper secondary (ISCED 0-2) (Eurostat)1997: 44.6; 2025: 59.9020406080200020052010201520202025

Employed as a share of the whole population, people aged 25-29 with below upper secondary (ISCED 0-2) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_ergaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Employment aged 25-29: upper secondary and post-secondary non-tertiary (ISCED 3-4) (Eurostat)

82.3 % of population latest value, 2025

Hungary: Employment aged 25-29: upper secondary and post-secondary non-tertiary (ISCED 3-4) (Eurostat)1997: 68; 2025: 82.3020406080100200020052010201520202025

Employed as a share of the whole population, people aged 25-29 with upper secondary and post-secondary non-tertiary (ISCED 3-4) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_ergaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Employment aged 25-29: tertiary (ISCED 5-8) (Eurostat)

89.3 % of population latest value, 2025

Hungary: Employment aged 25-29: tertiary (ISCED 5-8) (Eurostat)1997: 78.2; 2025: 89.3020406080100200020052010201520202025

Employed as a share of the whole population, people aged 25-29 with tertiary (ISCED 5-8) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_ergaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Employment aged 25-64: below upper secondary (ISCED 0-2) (Eurostat)

62 % of population latest value, 2025

Hungary: Employment aged 25-64: below upper secondary (ISCED 0-2) (Eurostat)1997: 35.9; 2025: 62020406080200020052010201520202025

Employed as a share of the whole population, people aged 25-64 with below upper secondary (ISCED 0-2) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_ergaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Employment aged 25-64: upper secondary and post-secondary non-tertiary (ISCED 3-4) (Eurostat)

84.8 % of population latest value, 2025

Hungary: Employment aged 25-64: upper secondary and post-secondary non-tertiary (ISCED 3-4) (Eurostat)1997: 70.4; 2025: 84.8020406080100200020052010201520202025

Employed as a share of the whole population, people aged 25-64 with upper secondary and post-secondary non-tertiary (ISCED 3-4) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_ergaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Employment aged 25-64: tertiary (ISCED 5-8) (Eurostat)

91.9 % of population latest value, 2025

Hungary: Employment aged 25-64: tertiary (ISCED 5-8) (Eurostat)1997: 81.5; 2025: 91.9020406080100200020052010201520202025

Employed as a share of the whole population, people aged 25-64 with tertiary (ISCED 5-8) education. EU Labour Force Survey, annual average of quarters. ISCED 2011 levels: 0-2 up to lower secondary, 3-4 upper secondary and post-secondary non-tertiary, 5-8 tertiary including short-cycle. Unemployment is relative to the labour force (students not seeking work are outside it), employment to the whole population of the group. Break and low-reliability flags are in the labour_education_eurostat dataset. Source: Eurostat, lfsa_ergaed.

Source: Eurostat — EU Labour Force Survey: unemployment and employment by education (lfsa_urgaed, lfsa_ergaed)

Unemployment aged 25-34: below upper secondary (ISCED 0-2) (OECD)

14.6 % of labour force latest value, 2025

Hungary: Unemployment aged 25-34: below upper secondary (ISCED 0-2) (OECD)1997: 20.2; 2025: 14.6010203040200020052010201520202025

Unemployed as a share of the labour force, people aged 25-34 with below upper secondary (ISCED 0-2) education. OECD Education at a Glance, from national labour force surveys. Standard errors (mostly from 2015) and break flags are in the labour_education_oecd dataset. The OECD age band 25-34 differs from Eurostat's 25-29.

Source: OECD — Education at a Glance database, labour market outcomes by educational attainment

Unemployment aged 25-34: upper secondary or post-secondary non-tertiary (ISCED 3-4) (OECD)

4.8 % of labour force latest value, 2025

Hungary: Unemployment aged 25-34: upper secondary or post-secondary non-tertiary (ISCED 3-4) (OECD)1997: 7.6; 2025: 4.8051015200020052010201520202025

Unemployed as a share of the labour force, people aged 25-34 with upper secondary or post-secondary non-tertiary (ISCED 3-4) education. OECD Education at a Glance, from national labour force surveys. Standard errors (mostly from 2015) and break flags are in the labour_education_oecd dataset. The OECD age band 25-34 differs from Eurostat's 25-29.

Source: OECD — Education at a Glance database, labour market outcomes by educational attainment

Unemployment aged 25-34: tertiary (ISCED 5-8) (OECD)

2.9 % of labour force latest value, 2025

Hungary: Unemployment aged 25-34: tertiary (ISCED 5-8) (OECD)1997: 2.5; 2025: 2.902468200020052010201520202025

Unemployed as a share of the labour force, people aged 25-34 with tertiary (ISCED 5-8) education. OECD Education at a Glance, from national labour force surveys. Standard errors (mostly from 2015) and break flags are in the labour_education_oecd dataset. The OECD age band 25-34 differs from Eurostat's 25-29.

Source: OECD — Education at a Glance database, labour market outcomes by educational attainment

Employment aged 25-34: below upper secondary (ISCED 0-2) (OECD)

61.3 % of population latest value, 2025

Hungary: Employment aged 25-34: below upper secondary (ISCED 0-2) (OECD)1997: 46.8; 2025: 61.3020406080200020052010201520202025

Employed as a share of the whole population, people aged 25-34 with below upper secondary (ISCED 0-2) education. OECD Education at a Glance, from national labour force surveys. Standard errors (mostly from 2015) and break flags are in the labour_education_oecd dataset. The OECD age band 25-34 differs from Eurostat's 25-29.

Source: OECD — Education at a Glance database, labour market outcomes by educational attainment

Employment aged 25-34: upper secondary or post-secondary non-tertiary (ISCED 3-4) (OECD)

85.4 % of population latest value, 2025

Hungary: Employment aged 25-34: upper secondary or post-secondary non-tertiary (ISCED 3-4) (OECD)1997: 71.3; 2025: 85.4020406080100200020052010201520202025

Employed as a share of the whole population, people aged 25-34 with upper secondary or post-secondary non-tertiary (ISCED 3-4) education. OECD Education at a Glance, from national labour force surveys. Standard errors (mostly from 2015) and break flags are in the labour_education_oecd dataset. The OECD age band 25-34 differs from Eurostat's 25-29.

Source: OECD — Education at a Glance database, labour market outcomes by educational attainment

Employment aged 25-34: tertiary (ISCED 5-8) (OECD)

92.3 % of population latest value, 2025

Hungary: Employment aged 25-34: tertiary (ISCED 5-8) (OECD)1997: 79.7; 2025: 92.3020406080100200020052010201520202025

Employed as a share of the whole population, people aged 25-34 with tertiary (ISCED 5-8) education. OECD Education at a Glance, from national labour force surveys. Standard errors (mostly from 2015) and break flags are in the labour_education_oecd dataset. The OECD age band 25-34 differs from Eurostat's 25-29.

Source: OECD — Education at a Glance database, labour market outcomes by educational attainment

Earnings aged 25-64, tertiary (ISCED 5-8) relative to upper secondary (OECD)

176 % (upper secondary = 100) latest value, 2024

Hungary: Earnings aged 25-64, tertiary (ISCED 5-8) relative to upper secondary (OECD)2010: 204; 2024: 176050100150200250201020152020

Earnings of full-time full-year workers aged 25-64 with tertiary (ISCED 5-8) education as a percentage of the earnings of similar workers with upper secondary education (= 100). OECD Education at a Glance; earnings come from surveys or tax and register data, the reference year lags by one or two years in some countries. All earners (not only full-time) are in the labour_education_oecd dataset.

Source: OECD — Education at a Glance database, labour market outcomes by educational attainment

Earnings aged 25-64, below upper secondary (ISCED 0-2) relative to upper secondary (OECD)

82 % (upper secondary = 100) latest value, 2024

Hungary: Earnings aged 25-64, below upper secondary (ISCED 0-2) relative to upper secondary (OECD)2010: 74; 2024: 82020406080100201020152020

Earnings of full-time full-year workers aged 25-64 with below upper secondary (ISCED 0-2) education as a percentage of the earnings of similar workers with upper secondary education (= 100). OECD Education at a Glance; earnings come from surveys or tax and register data, the reference year lags by one or two years in some countries. All earners (not only full-time) are in the labour_education_oecd dataset.

Source: OECD — Education at a Glance database, labour market outcomes by educational attainment

Earnings aged 25-34, tertiary (ISCED 5-8) relative to upper secondary (OECD)

152 % (upper secondary = 100) latest value, 2024

Hungary: Earnings aged 25-34, tertiary (ISCED 5-8) relative to upper secondary (OECD)2010: 183; 2024: 152050100150200201020152020

Earnings of full-time full-year workers aged 25-34 with tertiary (ISCED 5-8) education as a percentage of the earnings of similar workers with upper secondary education (= 100). OECD Education at a Glance; earnings come from surveys or tax and register data, the reference year lags by one or two years in some countries. All earners (not only full-time) are in the labour_education_oecd dataset.

Source: OECD — Education at a Glance database, labour market outcomes by educational attainment

Unemployment aged 25 and over: basic education (ILO)

11.8 % of labour force latest value, 2025

Hungary: Unemployment aged 25 and over: basic education (ILO)1997: 13; 2025: 11.80510152025200020052010201520202025

Unemployed as a share of the labour force, people aged 25 and over with basic education. ILO (ILOSTAT) from national labour force and other surveys: a country appears only in years with a survey; these are not ILO modelled estimates. Levels are the ILO aggregate of national classifications (by ISCED): basic up to lower secondary, intermediate upper secondary and post-secondary, advanced tertiary. Unreliable flags and survey type are in the labour_education_ilostat dataset. Source: ILO, UNE_DEAP_SEX_AGE_EDU_RT_A.

Source: ILO, ILOSTAT — unemployment and employment by level of education (national surveys)

Unemployment aged 25 and over: intermediate education (ILO)

3.7 % of labour force latest value, 2025

Hungary: Unemployment aged 25 and over: intermediate education (ILO)1997: 7.2; 2025: 3.70246810200020052010201520202025

Unemployed as a share of the labour force, people aged 25 and over with intermediate education. ILO (ILOSTAT) from national labour force and other surveys: a country appears only in years with a survey; these are not ILO modelled estimates. Levels are the ILO aggregate of national classifications (by ISCED): basic up to lower secondary, intermediate upper secondary and post-secondary, advanced tertiary. Unreliable flags and survey type are in the labour_education_ilostat dataset. Source: ILO, UNE_DEAP_SEX_AGE_EDU_RT_A.

Source: ILO, ILOSTAT — unemployment and employment by level of education (national surveys)

Unemployment aged 25 and over: advanced (tertiary) education (ILO)

1.8 % of labour force latest value, 2025

Hungary: Unemployment aged 25 and over: advanced (tertiary) education (ILO)1997: 1.7; 2025: 1.8012345200020052010201520202025

Unemployed as a share of the labour force, people aged 25 and over with advanced (tertiary) education. ILO (ILOSTAT) from national labour force and other surveys: a country appears only in years with a survey; these are not ILO modelled estimates. Levels are the ILO aggregate of national classifications (by ISCED): basic up to lower secondary, intermediate upper secondary and post-secondary, advanced tertiary. Unreliable flags and survey type are in the labour_education_ilostat dataset. Source: ILO, UNE_DEAP_SEX_AGE_EDU_RT_A.

Source: ILO, ILOSTAT — unemployment and employment by level of education (national surveys)

Unemployment aged 15-24: basic education (ILO)

23.5 % of labour force latest value, 2025

Hungary: Unemployment aged 15-24: basic education (ILO)1997: 30.1; 2025: 23.501020304050200020052010201520202025

Unemployed as a share of the labour force, people aged 15-24 with basic education. ILO (ILOSTAT) from national labour force and other surveys: a country appears only in years with a survey; these are not ILO modelled estimates. Levels are the ILO aggregate of national classifications (by ISCED): basic up to lower secondary, intermediate upper secondary and post-secondary, advanced tertiary. Unreliable flags and survey type are in the labour_education_ilostat dataset. Source: ILO, UNE_DEAP_SEX_AGE_EDU_RT_A.

Source: ILO, ILOSTAT — unemployment and employment by level of education (national surveys)

Unemployment aged 15-24: advanced (tertiary) education (ILO)

11.4 % of labour force latest value, 2025

Hungary: Unemployment aged 15-24: advanced (tertiary) education (ILO)1998: 4.1; 2025: 11.40510152025200020052010201520202025

Unemployed as a share of the labour force, people aged 15-24 with advanced (tertiary) education. ILO (ILOSTAT) from national labour force and other surveys: a country appears only in years with a survey; these are not ILO modelled estimates. Levels are the ILO aggregate of national classifications (by ISCED): basic up to lower secondary, intermediate upper secondary and post-secondary, advanced tertiary. Unreliable flags and survey type are in the labour_education_ilostat dataset. Source: ILO, UNE_DEAP_SEX_AGE_EDU_RT_A.

Source: ILO, ILOSTAT — unemployment and employment by level of education (national surveys)

Employment aged 25 and over: basic education (ILO)

38.1 % of population latest value, 2025

Hungary: Employment aged 25 and over: basic education (ILO)1997: 26.1; 2025: 38.1010203040200020052010201520202025

Employed as a share of the population, people aged 25 and over with basic education. ILO (ILOSTAT) from national labour force and other surveys: a country appears only in years with a survey; these are not ILO modelled estimates. Levels are the ILO aggregate of national classifications (by ISCED): basic up to lower secondary, intermediate upper secondary and post-secondary, advanced tertiary. Unreliable flags and survey type are in the labour_education_ilostat dataset. Source: ILO, EMP_DWAP_SEX_AGE_EDU_RT_A.

Source: ILO, ILOSTAT — unemployment and employment by level of education (national surveys)

Employment aged 25 and over: advanced (tertiary) education (ILO)

76.3 % of population latest value, 2025

Hungary: Employment aged 25 and over: advanced (tertiary) education (ILO)1997: 75.7; 2025: 76.3020406080200020052010201520202025

Employed as a share of the population, people aged 25 and over with advanced (tertiary) education. ILO (ILOSTAT) from national labour force and other surveys: a country appears only in years with a survey; these are not ILO modelled estimates. Levels are the ILO aggregate of national classifications (by ISCED): basic up to lower secondary, intermediate upper secondary and post-secondary, advanced tertiary. Unreliable flags and survey type are in the labour_education_ilostat dataset. Source: ILO, EMP_DWAP_SEX_AGE_EDU_RT_A.

Source: ILO, ILOSTAT — unemployment and employment by level of education (national surveys)

Same region: Europe

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