Macroscope
All countries

Liberia

Africa

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

Population
5.49M
persons, 1 July, 2023
Births
170k
births per year, 2023
Total fertility rate
3.95
children per woman, 2023
International migrants, share
1.3
% of population, 2024
Internet users
32.2
% of population, 2024
GDP per capita, PPP
1,693
constant 2021 international $, 2025
Electricity demand per person
102
kWh per person a year, 2024

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): 6.00 in 1950 → 3.95 in 2023 (−34%). Peak: 6.92 in 1979; the latest value is 43% lower. The trend broke around 1980 and 2000: +0.03 → −0.05 → −0.09 a year.
  • Births: 40.3k in 1950 → 170k in 2023 (×4.2). The trend broke around 1987 and 1993: +1.93k → −0.88k → +2.6k a year.
  • Population: 919k in 1950 → 5.49M in 2023 (×6). The trend broke around 1988 and 1994: +39.5k → −26.1k → +119k a year.
  • Internet: 0% in 1990 → 32.2% in 2024 (+32 pp). Threshold: above 10% since 2015. Fastest growth in 2014–2019: 5.4% → 19.9%.
  • Urban share: 18.6% in 1960 → 56.1% in 2025 (+37 pp). Threshold: above 50% since 2014. The trend broke around 1993 and 1999: +0.98 → −1.1 → +0.52 a year.
  • GDP per person (PPP): 1,866 PPP dollars in 1990 → 1,693 PPP dollars in 2025 (−9%). Low: 535 PPP dollars in 1995; ×3.2 since then. The trend broke around 1996 and 2002: −157 → +159 → −1.6 a year.
  • GDP growth: on average 2.3% in the 2000s, 3.2% in the 2010s, 3.4% in the 2020s. Lowest: −29% in 2003; highest: 13.1% in 2007.
  • Inflation: on average 9.8% in the 2000s, 12.0% in the 2010s, 9.8% in the 2020s. Lowest: 2% in 1999; highest: 27% in 2019.
  • Net migration: on average 0.4k a year in the 1950s, 2.11k a year in the 1960s, 2.38k a year in the 1970s, 6.14k a year in the 1980s, −24.2k a year in the 1990s, 14k a year in the 2000s, −8.93k a year in the 2010s, −8k a year in the 2020s.
  • Life expectancy, men: 37 years in 1950 → 60.9 years in 2023 (+24 years). Low: 32.4 years in 1990; +29 years since then. The trend broke around 1995 and 2006: +0.15 → +1.2 → +0.24 a year.

What changed at the same time

  • The fastest decline of "Fertility (TFR)" was in 2006–2016: 5.53 → 4.46. Over the same years: births 143k → 161k; population 3.49M → 4.76M; internet 0.5% → 15.7%; urban share 46.2% → 51.3%; GDP per person (PPP) 1,365 PPP dollars → 1,653 PPP dollars; GDP growth 8.5% → −1.6%; inflation 9.5% → 8.8%; net migration 77.9k a year → −26.8k a year; life expectancy, men 56.1 years → 59.3 years.
  • Over the last 10 years (2013–2023): fertility (TFR) 4.75 → 3.95; births 162k → 170k; population 4.47M → 5.49M; internet 3.2% → 31.2%; urban share 49.7% → 55%; GDP per person (PPP) 1,775 PPP dollars → 1,617 PPP dollars; GDP growth 8.8% → 4.6%; inflation 7.6% → 10.1%; net migration −22k a year → −5k a year; life expectancy, men 58.8 years → 60.9 years.

How the indicators relate

  • Fertility (TFR) and internet (1990–2023, 28 years): levels are strongly related, in opposite directions (r = −0.87); year-to-year changes show no reliable link (r = −0.01). This looks like a shared trend: both change over time, but not in step from year to year.
  • Fertility (TFR) and urban share (1960–2023, 64 years): levels are strongly related, in opposite directions (r = −0.72); year-to-year changes show no reliable link (r = −0.05). 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) (1990–2023, 34 years): levels are noticeably related, in opposite directions (r = −0.45); year-to-year changes show no reliable link (r = −0.02).

Against other countries

  • Fertility (TFR), adjusted for income: countries with the same GDP per person (1,617 PPP dollars) typically have 4.64; here it is 3.95, about the same as most countries at this income (2023, 197 countries).
  • Internet, adjusted for income: countries with the same GDP per person (1,646 PPP dollars) typically have 28.4%; here it is 32.2%, about the same as most countries at this income (2024, 177 countries).

Forecasts vs actual

  • Fertility (TFR): past UN projections. The outcome was below the projection in 8 of 11 revisions (1998–2022) and above in 2; median gap −2.7%.
  • The UN 1998 projection expected this level (3.95) already around 2021: reality is 2 years behind it.
  • The UN 2019 projection expected today's level (3.95, 2023) only by 2025–2030: reality is at least 2 years ahead of it.
  • Fertility (TFR): UN 2024 projection (medium): 2050 — 2.62 (−34% vs 2023), 2100 — 1.97 (−50% vs 2023); low variant for 2100: 1.47.
  • Births: past UN projections. The outcome was below the projection in 7 of 11 revisions (1998–2022) and above in 4; median gap −4.6%.
  • The UN 2010 projection expected this level (170k) already around 2017: reality is 6 years behind it.
  • The UN 2022 projection expected today's level (170k, 2023) only by 2025: reality is at least 2 years ahead of it.
  • Births: UN 2024 projection (medium): 2050 — 194k (+14% vs 2023), 2100 — 173k (+2% vs 2023); low variant for 2100: 81k.
  • Population: past UN projections. The outcome was below the projection in 7 of 12 revisions (1998–2022) and above in 5; median gap −0.6%.
  • The UN 1998 projection expected this level (5.49M) already around 2017: reality is 6 years behind it.
  • The UN 2022 projection expected today's level (5.49M, 2023) only by 2024: reality is at least 1 year ahead of it.
  • Population: UN 2024 projection (medium): 2050 — 8.91M (+62% vs 2023), 2100 — 12.7M (+131% vs 2023); low variant for 2100: 8.65M.
  • Why the UN missed the population. The 1998 projection for 2023: 6.31M; the UN's 2024 estimate: 5.49M (−13%). Parts of the gap (plus means more people than projected): the starting population +78.9k, births −569k, deaths −73.9k (more deaths than expected), migration −256k; the largest: births.
  • Why the UN missed the population. The 2010 projection for 2023: 5.55M; the UN's 2024 estimate: 5.49M (−1.1%). Parts of the gap (plus means more people than projected): the starting population +64.9k, births −85.6k, deaths +13.3k (fewer deaths than expected), migration −60.2k; the largest: births.
  • GDP growth: IMF next-year forecasts (36 editions, 2007–2024). On average the outcome was 2.8 pp below the forecast; below it in 78% of cases; typical error ±3.3 pp. The biggest miss was for 2009: IMF, October 2008 expected 14.3%, the outcome was 5.2%.
  • GDP growth: latest IMF forecast (IMF, April 2026): 2026 — 5.1%, 2028 — 5.6%, 2031 — 5.5%.
  • Inflation: IMF next-year forecasts (36 editions, 2007–2024). On average the outcome was 2.5 pp above the forecast; below it in 25% of cases; typical error ±4.3 pp. The biggest miss was for 2019: IMF, April 2018 expected 10.5%, the outcome was 27%.
  • Inflation: latest IMF forecast (IMF, April 2026): 2026 — 5.7%, 2028 — 5.4%, 2031 — 5%.
  • Net migration: past UN projections. The outcome was above the projection in none of 12 revisions (1998–2022) and below in 11; median difference −2.7k a year. The biggest miss: the 1998 revision expected 0 a year for 2020–2025; the outcome was −7.7k a year (for the years of the period so far).
  • Net migration: UN 2024 projection (medium): 2030 — −16k a year, 2050 — −16.5k a year, 2100 — −0.88k 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 −2 years. The biggest miss: the 2002 revision expected 47.1 years for 2020–2025; the outcome was 60.4 years (for the years of the period so far).
  • Life expectancy, men: UN 2024 projection (medium): 2030 — 61.8 years, 2050 — 64.1 years, 2100 — 69.2 years.

Wars and births

  • War of 2003–2003 on the country's territory (UCDP/PRIO; about 1,787 battle deaths). Against peace-time countries whose fertility was close the year before the war (Gambia, Equatorial Guinea, Tanzania, Zambia, Benin and 5 more), net of each country's pre-war trend: births during the war −6.1%, 1–5 years after it −12%, 6–10 years after −20%; fertility (children per woman) during the war −0.18, 1–5 years after it −0.19, 6–10 years after −0.35.
  • 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
Liberia: PopulationActual 2023: 5.49M02M4M6M8M10M19902000201020202030
  • 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 years6.31M5.49M−12.9%
UN 2000202323 years7.17M5.49M−23.4%
UN 2002202321 years5.79M5.49M−5.1%
UN 2004202319 years5.48M5.49M+0.2%
UN 2006202317 years6.39M5.49M−14%
UN 2008202315 years5.61M5.49M−2.2%
UN 2010202313 years5.55M5.49M−1.1%
UN 2012202311 years5.46M5.49M+0.6%
UN 201520238 years5.47M5.49M+0.5%
UN 201720236 years5.5M5.49M−0.1%
UN 201920234 years5.43M5.49M+1.1%
UN 202220231 year5.42M5.49M+1.4%

Births

births per year
Liberia: BirthsActual 2023: 170k50k150k250k350k450k19902000201020202030
  • 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 years181k162k−10.2%
UN 20002015–202018 years235k162k−30.9%
UN 20022015–202016 years217k162k−25.3%
UN 20042015–202014 years213k162k−23.7%
UN 20062015–202012 years245k162k−33.6%
UN 20082015–202010 years165k162k−1.4%
UN 20102015–20208 years170k162k−4.6%
UN 20122015–20206 years160k162k+1.4%
UN 20152015–20202 years161k162k+0.6%
UN 20172015–20200 years162k162k+0.2%
UN 202220231 year167k170k+1.9%

Total fertility rate

children per woman
Liberia: Total fertility rateActual 2023: 3.9523456719902000201020202030
  • 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 years4.334.36+0.8%
UN 20002015–202018 years5.634.36−22.6%
UN 20022015–202016 years5.684.36−23.2%
UN 20042015–202014 years6.104.36−28.6%
UN 20062015–202012 years6.104.36−28.6%
UN 20082015–202010 years4.184.36+4.4%
UN 20102015–20208 years4.674.36−6.7%
UN 20122015–20206 years4.474.36−2.4%
UN 20152015–20202 years4.474.36−2.5%
UN 20172015–20200 years4.484.36−2.7%
UN 202220231 year3.953.950%

Deaths

thousand deaths per year
Liberia: DeathsActual 2023: 442040608010019902000201020202030
  • 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 years3643+17.9%
UN 20002015–202018 years4243+2.5%
UN 20022015–202016 years8743−50.4%
UN 20042015–202014 years8143−46.6%
UN 20062015–202012 years8143−47.1%
UN 20082015–202010 years4243+2.1%
UN 20102015–20208 years4443−1.9%
UN 20122015–20206 years3943+11%
UN 20152015–20202 years3943+10.3%
UN 20172015–20200 years3643+18.4%
UN 202220231 year4444+0.2%

Infant mortality

deaths under age 1 per 1,000 live births
Liberia: Infant mortalityActual 2023: 55.905010015020019902000201020202030
  • 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 years48.164.1+33.2%
UN 20002015–202018 years47.664.1+34.5%
UN 20022015–202016 years113.164.1−43.4%
UN 20042015–202014 years110.464.1−42%
UN 20062015–202012 years111.164.1−42.3%
UN 20082015–202010 years80.464.1−20.3%
UN 20102015–20208 years68.264.1−6%
UN 20122015–20206 years52.264.1+22.8%
UN 20152015–20202 years52.464.1+22.2%
UN 20172015–20200 years46.864.1+37%
UN 202220231 year5655.9−0.2%

Net migration

persons per year
Liberia: Net migrationActual 2023: −5k−800k−300k200k700k19902000201020202030
  • 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 years0−7.7k−8k a year
UN 20002020–2025*22 years0−7.7k−8k a year
UN 20022020–2025*20 years0−7.7k−8k a year
UN 20042020–2025*18 years0−7.7k−8k a year
UN 20062020–2025*16 years0−7.7k−8k a year
UN 20082020–2025*14 years−5k−7.7k−3k a year
UN 20102020–2025*12 years−5k−7.7k−3k a year
UN 20122020–2025*10 years−5k−7.7k−3k a year
UN 20152020–2025*8 years−5k−7.7k−3k a year
UN 20172020–2025*6 years−5k−7.7k−3k a year
UN 20192020–2025*4 years−5k−7.7k−3k a year
UN 202220231 year−5k−5k0k a year

Life expectancy at birth, women

years
Liberia: Life expectancy at birth, womenActual 2023: 63.4405060708019902000201020202030
  • 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 years67.762.9−4.8 yrs
UN 20002020–2025*22 years66.162.9−3.2 yrs
UN 20022020–2025*20 years47.862.9+15.1 yrs
UN 20042020–2025*18 years48.562.9+14.5 yrs
UN 20062020–2025*16 years52.162.9+10.8 yrs
UN 20082020–2025*14 years65.462.9−2.4 yrs
UN 20102020–2025*12 years63.362.9−0.4 yrs
UN 20122020–2025*10 years65.162.9−2.1 yrs
UN 20152020–2025*8 years64.962.9−1.9 yrs
UN 20172020–2025*6 years66.762.9−3.8 yrs
UN 20192020–2025*4 years66.562.9−3.5 yrs
UN 202220231 year63.363.4+0.1 yrs

Life expectancy at birth, men

years
Liberia: Life expectancy at birth, menActual 2023: 60.9304050607019902000201020202030
  • 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 years64.960.4−4.5 yrs
UN 20002020–2025*22 years63.760.4−3.3 yrs
UN 20022020–2025*20 years47.160.4+13.4 yrs
UN 20042020–2025*18 years47.660.4+12.8 yrs
UN 20062020–2025*16 years50.360.4+10.1 yrs
UN 20082020–2025*14 years62.360.4−1.8 yrs
UN 20102020–2025*12 years60.660.4−0.1 yrs
UN 20122020–2025*10 years62.760.4−2.3 yrs
UN 20152020–2025*8 years62.660.4−2.2 yrs
UN 20172020–2025*6 years64.460.4−4 yrs
UN 20192020–2025*4 years63.560.4−3.1 yrs
UN 202220231 year60.760.9+0.2 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
Liberia: Real GDP growthActual 2025: 5.1−30−20−10010202000200520102015202020252030
  • Actual (IMF)
  • WEO, April editions
IndicatorForecastsMean errorMean absolute errorActual below forecast
Real GDP growth36−2.8 pp3.3 pp78%
Inflation36+2.5 pp4.3 pp25%
Government gross debt28−5.3 pp8.7 pp64%
Government budget balance29+1 pp2.5 pp28%

All indicators

Demography

Population

5.49M persons, 1 July latest value, 2023

Liberia: Population1950: 919k; 2023: 5.49M02M4M6M8M10M19501975200020252050

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

170k births per year latest value, 2023

Liberia: Births1950: 40.3k; 2023: 170k050k100k150k200k19501975200020252050

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

Source: UN DESA, World Population Prospects 2024

Deaths

44 thousand deaths per year latest value, 2023

Liberia: Deaths1950: 23; 2023: 4402040608019501975200020252050

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

125.7 thousand persons per year latest value, 2023

Liberia: Natural change1950: 17.6; 2023: 125.705010015019501975200020252050

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

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

Liberia: Rate of natural change1950: 19.1; 2023: 22.9010203019501975200020252050

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

12.4 years latest value, 2023

Liberia: Life expectancy at 651950: 10.3; 2023: 12.405101519501975200020252050

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

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

Liberia: Infant mortality1950: 186.1; 2023: 55.905010015020019501975200020252050

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

3.95 children per woman latest value, 2023

Liberia: Total fertility rate1950: 6.00; 2023: 3.950.002.004.006.008.0019501975200020252050

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

Source: UN DESA, World Population Prospects 2024

Life expectancy at birth, women

63.4 years latest value, 2023

Liberia: Life expectancy at birth, women1950: 39; 2023: 63.402040608019501975200020252050

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

60.9 years latest value, 2023

Liberia: Life expectancy at birth, men1950: 37; 2023: 60.902040608019501975200020252050

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

Source: UN DESA, World Population Prospects 2024

Median age

18.4 years latest value, 2023

Liberia: Median age1950: 17.9; 2023: 18.4051015202519501975200020252050

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

Source: UN DESA, World Population Prospects 2024

Mean age of mothers at childbirth

28.3 years latest value, 2023

Liberia: Mean age of mothers at childbirth1950: 28.4; 2023: 28.3010203019501975200020252050

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

103.9 boys per 100 girls latest value, 2023

Liberia: Sex ratio at birth1950: 103.8; 2023: 103.905010015019501975200020252050

Boys born per 100 girls born (UN).

Source: UN DESA, World Population Prospects 2024

Adolescent fertility rate

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

Liberia: Adolescent fertility rate1960: 192.7; 2024: 124.70501001502001960197019801990200020102020

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

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

Liberia: Old-age dependency1950: 6.6; 2020: 7.2024681019501975200020252050

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

Source: UN DESA, World Population Prospects 2024

Children under 15

2,197 thousand persons, 1 July latest value, 2023

Liberia: Children under 151950: 384; 2023: 2,19701,0002,0003,00019501975200020252050

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

773 thousand persons, 1 July latest value, 2023

Liberia: Children under 51950: 148; 2023: 77302004006008001,00019501975200020252050

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

180 thousand persons, 1 July latest value, 2023

Liberia: People aged 65 and over1950: 27; 2023: 180010020030040050019501975200020252050

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

21 thousand persons, 1 July latest value, 2023

Liberia: People aged 80 and over1950: 2; 2023: 21020406019501975200020252050

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

Migration

Net migration

−5k persons per year latest value, 2023

Liberia: Net migration1950: −0.62k; 2023: −5k−800k−300k200k700k19501975200020252050

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

−0.91 per 1,000 population per year latest value, 2023

Liberia: Net migration rate1950: −0.67; 2023: −0.91−400−200020019501975200020252050

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

21.3 % of GDP latest value, 2024

Liberia: Personal remittances received2004: 6.5; 2024: 21.305101520252005201020152020

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

1.3 % of population latest value, 2024

Liberia: International migrants, share1990: 4.3; 2024: 1.302468101990199520002005201020152020

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

72.4k persons latest value, 2024

Liberia: International migrant stock1990: 95k; 2024: 72.4k050k100k150k200k250k1990199520002005201020152020

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

2.6 % of home population latest value, 2024

Liberia: Emigrants, share1990: 24.2; 2024: 2.601020301990199520002005201020152020

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

146k persons latest value, 2024

Liberia: Emigrant stock1990: 539k; 2024: 146k0200k400k600k1990199520002005201020152020

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

1.17k persons, end of year latest value, 2025

Liberia: Refugees hosted1969: 1k; 2025: 1.17k050k100k150k200k197019801990200020102020

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

0.2 per 1,000 population latest value, 2025

Liberia: Refugees hosted per 1,000 people1969: 0.7; 2025: 0.2020406080197019801990200020102020

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

5.12k persons, end of year latest value, 2025

Liberia: Refugees from the country1988: 0.03k; 2025: 5.12k0200k400k600k800k1990200020102020

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

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

Liberia: Refugees from the country per 1,000 people1988: 0; 2025: 0.901002003004001990200020102020

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

Citizens under temporary protection in Europe

0 thousand persons, end of year latest value, 2026

Liberia: Citizens under temporary protection in Europe2022: 0.1; 2026: 0000000.10.120202025

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)

Asylum applications worldwide

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

Liberia: Asylum applications worldwide2002: 0; 2025: 0.0100.511.522.520052010201520202025

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

Economy

GDP per capita, PPP

1,693 constant 2021 international $ latest value, 2025

Liberia: GDP per capita, PPP1990: 1,866; 2025: 1,69305001,0001,5002,00019901995200020052010201520202025

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

5.1 % per year latest value, 2025

Liberia: Real GDP growth2001: 2.8; 2025: 5.1−30−20−100102020052010201520202025

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

Source: IMF World Economic Outlook, April 2026

Inflation

8.3 % per year, average latest value, 2025

Liberia: Inflation1999: 2; 2025: 8.30102030200020052010201520202025

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

Source: IMF World Economic Outlook, April 2026

Government gross debt

54.9 % of GDP latest value, 2025

Liberia: Government gross debt2000: 468.1; 2025: 54.90200400600800200020052010201520202025

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

Source: IMF World Economic Outlook, April 2026

Unemployment, ILO estimate

2.9 % of labour force latest value, 2025

Liberia: Unemployment, ILO estimate1991: 2.7; 2025: 2.90123451995200020052010201520202025

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

2.3 % of labour force aged 15-24 latest value, 2025

Liberia: Youth unemployment, 15-241991: 3.5; 2025: 2.3012341995200020052010201520202025

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

910 current US dollars latest value, 2025

Liberia: GDP per capita, US dollars2000: 303; 2025: 91002004006008001,000200020052010201520202025

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

Source: IMF World Economic Outlook, April 2026

Government budget balance

−1.4 % of GDP latest value, 2025

Liberia: Government budget balance2000: −0.1; 2025: −1.4−10−505200020052010201520202025

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

Source: IMF World Economic Outlook, April 2026

Current account balance

−6.3 % of GDP latest value, 2025

Liberia: Current account balance2000: −12.2; 2025: −6.3−40−30−20−10010200020052010201520202025

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

Society

Urban population

56.1 % of population latest value, 2025

Liberia: Urban population1960: 18.6; 2025: 56.102040601960197019801990200020102020

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

8.2 % gross latest value, 2012

Liberia: Tertiary enrolment, women1970: 0.4; 2012: 8.205101519701980199020002010

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

16.9 % of women 25+ latest value, 2019

Liberia: Women with upper secondary education1974: 2.6; 2019: 16.9051015201980199020002010

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

Source: World Bank, World Development Indicators

Female labour force participation

72 % of women 15+ latest value, 2025

Liberia: Female labour force participation1990: 71.5; 2025: 7202040608019901995200020052010201520202025

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

62.3 years latest value, 2024

Liberia: Life expectancy at birth1960: 38.1; 2024: 62.30204060801960197019801990200020102020

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

Source: World Bank, World Development Indicators

Digitalisation

Internet users

32.2 % of population latest value, 2024

Liberia: Internet users1990: 0; 2024: 32.20102030401990199520002005201020152020

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

32.1 per 100 people latest value, 2022

Liberia: Mobile cellular subscriptions1960: 0; 2022: 32.10204060801960197019801990200020102020

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

0.3 subscriptions per 100 people latest value, 2022

Liberia: Fixed broadband subscriptions2008: 0; 2022: 0.300.10.20.3201020152020

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

Source: World Bank, World Development Indicators

Energy

Electricity demand per person

102 kWh per person a year latest value, 2024

Liberia: Electricity demand per person2000: 68; 2024: 10205010015020002005201020152020

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

−6.6 % per year latest value, 2024

Liberia: Electricity demand growth2001: 0; 2024: −6.6−2002040602005201020152020

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

1.8 % of generation latest value, 2024

Liberia: Wind and solar share of electricity2000: 0; 2024: 1.800.511.5220002005201020152020

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

Source: Ember, Yearly Electricity Data

Low-carbon share of electricity

54.4 % of generation latest value, 2024

Liberia: Low-carbon share of electricity2000: 0; 2024: 54.4020406020002005201020152020

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

Source: Ember, Yearly Electricity Data

Coal share of electricity

0 % of generation latest value, 2024

Liberia: Coal share of electricity2000: 0; 2024: 00120002005201020152020

Share of coal power in electricity generation (Ember).

Source: Ember, Yearly Electricity Data

Carbon intensity of electricity

314 g CO2e per kWh latest value, 2024

Liberia: Carbon intensity of electricity2000: 660; 2024: 314020040060080020002005201020152020

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

Source: Ember, Yearly Electricity Data

Electricity generation

0.6 TWh per year latest value, 2024

Liberia: Electricity generation2000: 0.2; 2024: 0.600.20.40.60.820002005201020152020

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

0.2 Mt CO2e per year latest value, 2024

Liberia: Electricity generation emissions2000: 0.1; 2024: 0.200.10.10.20.20.320002005201020152020

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

Source: Ember, Yearly Electricity Data

Security

Military expenditure

0.7 % of GDP latest value, 2024

Liberia: Military expenditure1965: 1.2; 2024: 0.70102030197019801990200020102020

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

Liberia: Deaths in organised violence1989: 45; 2025: 001,0002,0003,0004,0005,0001990200020102020

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

Liberia: Deaths in organised violence per 100,0001989: 1.8; 2025: 00501001502001990200020102020

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

Liberia: 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

Liberia: Battle deaths1946: 0; 2025: 005001,0001,5002,00019501960197019801990200020102020

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

Liberia: Battle deaths per 100,0001950: 0; 2025: 0020406019501960197019801990200020102020

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)

3.1 per 100,000 people latest value, 2012

Liberia: Intentional homicides (per 100,000 people)2007: 2.7; 2012: 3.10123452010

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

2,242 kcal/cap/d latest value, 2025

Liberia: Average dietary energy requirement2000: 2,169; 2025: 2,24205001,0001,5002,0002,500200020052010201520202025

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)

3 per 100,000 adults latest value, 2023

Liberia: Commercial bank branches (per 100,000 adults)2006: 0.8; 2023: 301234201020152020

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

0.36 No latest value, 2024

Liberia: Variation in habitual caloric consumption distribution2001: 0.37; 2024: 0.3600.10.20.30.42005201020152020

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+)

52.2 % of people aged 15+ latest value, 2024

Liberia: Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)2011: 18.8; 2024: 52.2020406020152020

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+)

58.1 % of men aged 15+ latest value, 2024

Liberia: Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+)2011: 23; 2024: 58.1020406020152020

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+)

46.3 % of women aged 15+ latest value, 2024

Liberia: Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+)2011: 14.7; 2024: 46.30102030405020152020

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

31.11 kcal/cap/d latest value, 2023

Liberia: Alcoholic beverages: energy supply2010: 33.01; 2023: 31.11010203040201020152020

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

8.33 kg/cap latest value, 2023

Liberia: Alcoholic beverages: quantity supply2010: 7.47; 2023: 8.330246810201020152020

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

115.38 kcal/cap/d latest value, 2023

Liberia: Animal products: energy supply2010: 80.84; 2023: 115.38050100150201020152020

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

7.54 g/cap/d latest value, 2023

Liberia: Animal products: fat supply2010: 5.17; 2023: 7.540246810201020152020

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

11.22 g/cap/d latest value, 2023

Liberia: Animal products: protein supply2010: 7.91; 2023: 11.22051015201020152020

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

1.68 kcal/cap/d latest value, 2023

Liberia: Bovine meat: energy supply2010: 2.47; 2023: 1.6802468201020152020

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

0.36 kg/cap latest value, 2023

Liberia: Bovine meat: quantity supply2010: 0.61; 2023: 0.3600.511.5201020152020

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

1,154.42 kcal/cap/d latest value, 2023

Liberia: Cereals excluding beer: energy supply2010: 983.2; 2023: 1,154.4205001,0001,500201020152020

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

207.57 kg/cap latest value, 2023

Liberia: Cereals excluding beer: quantity supply2010: 151.14; 2023: 207.57050100150200250201020152020

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

0.79 kcal/cap/d latest value, 2023

Liberia: Coffee and products: energy supply2010: 0.37; 2023: 0.7900.20.40.60.81201020152020

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

0.8 kg/cap latest value, 2023

Liberia: Coffee and products: quantity supply2010: 0.39; 2023: 0.800.20.40.60.81201020152020

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

5.23 kcal/cap/d latest value, 2023

Liberia: Eggs: energy supply2010: 6.59; 2023: 5.230246810201020152020

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

1.5 kg/cap latest value, 2023

Liberia: Eggs: quantity supply2010: 1.88; 2023: 1.50123201020152020

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

9.35 kcal/cap/d latest value, 2023

Liberia: Fish and seafood: energy supply2010: 8.92; 2023: 9.35051015201020152020

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

0.44 g/cap/d latest value, 2023

Liberia: Fish and seafood: fat supply2010: 0.4; 2023: 0.4400.20.40.6201020152020

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

1.31 g/cap/d latest value, 2023

Liberia: Fish and seafood: protein supply2010: 1.32; 2023: 1.3100.511.52201020152020

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

4.75 kg/cap latest value, 2023

Liberia: Fish and seafood: quantity supply2010: 4.79; 2023: 4.7502468201020152020

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

64.43 kcal/cap/d latest value, 2023

Liberia: Fruits excluding wine: energy supply2010: 77.95; 2023: 64.43020406080201020152020

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

36.36 kg/cap latest value, 2023

Liberia: Fruits excluding wine: quantity supply2010: 44.09; 2023: 36.3601020304050201020152020

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

60.62 kcal/cap/d latest value, 2023

Liberia: Meat: energy supply2010: 52.97; 2023: 60.62020406080100201020152020

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

4.24 g/cap/d latest value, 2023

Liberia: Meat: fat supply2010: 3.46; 2023: 4.2402468201020152020

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

5.6 g/cap/d latest value, 2023

Liberia: Meat: protein supply2010: 5.42; 2023: 5.60246810201020152020

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

12.32 kg/cap latest value, 2023

Liberia: Meat: quantity supply2010: 11.52; 2023: 12.320510152025201020152020

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

6.43 kcal/cap/d latest value, 2023

Liberia: Milk excluding butter: energy supply2010: 7.86; 2023: 6.43051015201020152020

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

0.36 g/cap/d latest value, 2023

Liberia: Milk excluding butter: fat supply2010: 0.44; 2023: 0.3600.10.20.30.40.5201020152020

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

0.31 g/cap/d latest value, 2023

Liberia: Milk excluding butter: protein supply2010: 0.4; 2023: 0.3100.10.20.30.40.5201020152020

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

3.3 kg/cap latest value, 2023

Liberia: Milk excluding butter: quantity supply2010: 4.01; 2023: 3.3012345201020152020

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

4.69 kcal/cap/d latest value, 2023

Liberia: Treenuts: energy supply2010: 5.29; 2023: 4.690246201020152020

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

0.53 kg/cap latest value, 2023

Liberia: Treenuts: quantity supply2010: 0.62; 2023: 0.5300.20.40.60.8201020152020

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

2,019.77 kcal/cap/d latest value, 2023

Liberia: Vegetal products: energy supply2010: 2,031.79; 2023: 2,019.7705001,0001,5002,0002,500201020152020

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

36.67 g/cap/d latest value, 2023

Liberia: Vegetal products: fat supply2010: 51.5; 2023: 36.670204060201020152020

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

33.82 g/cap/d latest value, 2023

Liberia: Vegetal products: protein supply2010: 30.02; 2023: 33.82010203040201020152020

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

15.6 kcal/cap/d latest value, 2023

Liberia: Pigmeat: energy supply2010: 18.41; 2023: 15.6010203040201020152020

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

2.4 kg/cap latest value, 2023

Liberia: Pigmeat: quantity supply2010: 2.81; 2023: 2.40246201020152020

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

13.32 kcal/cap/d latest value, 2023

Liberia: Poultry meat: energy supply2010: 21.12; 2023: 13.3201020304050201020152020

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

3.53 kg/cap latest value, 2023

Liberia: Poultry meat: quantity supply2010: 5.57; 2023: 3.53051015201020152020

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

18.57 kcal/cap/d latest value, 2023

Liberia: Pulses: energy supply2010: 7.09; 2023: 18.5705101520201020152020

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

2.04 kg/cap latest value, 2023

Liberia: Pulses: quantity supply2010: 0.77; 2023: 2.0400.511.522.5201020152020

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

374.98 kcal/cap/d latest value, 2023

Liberia: Starchy roots: energy supply2010: 410.48; 2023: 374.980100200300400500201020152020

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

118.39 kg/cap latest value, 2023

Liberia: Starchy roots: quantity supply2010: 126.65; 2023: 118.39050100150201020152020

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

55.01 kcal/cap/d latest value, 2023

Liberia: Sugar and sweeteners: energy supply2010: 61.42; 2023: 55.01020406080201020152020

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

6.49 kg/cap latest value, 2023

Liberia: Sugar and sweeteners: quantity supply2010: 7.75; 2023: 6.490246810201020152020

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

0.04 kcal/cap/d latest value, 2023

Liberia: Tea including mate: energy supply2010: 0.03; 2023: 0.0400.010.020.030.040.05201020152020

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

0.1 kg/cap latest value, 2023

Liberia: Tea including mate: quantity supply2010: 0.07; 2023: 0.100.050.10.15201020152020

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

2,135.15 kcal/cap/d latest value, 2023

Liberia: All foods: energy supply2010: 2,112.63; 2023: 2,135.1505001,0001,5002,0002,500201020152020

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

44.21 g/cap/d latest value, 2023

Liberia: All foods: fat supply2010: 56.68; 2023: 44.21020406080201020152020

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

45.04 g/cap/d latest value, 2023

Liberia: All foods: protein supply2010: 37.93; 2023: 45.0401020304050201020152020

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

248.84 kcal/cap/d latest value, 2023

Liberia: Vegetable oils: energy supply2010: 386.09; 2023: 248.840100200300400500201020152020

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

10.17 kg/cap latest value, 2023

Liberia: Vegetable oils: quantity supply2010: 15.77; 2023: 10.1705101520201020152020

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

20.09 kcal/cap/d latest value, 2023

Liberia: Vegetables: energy supply2010: 21.31; 2023: 20.090510152025201020152020

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

27.1 kg/cap latest value, 2023

Liberia: Vegetables: quantity supply2010: 28.01; 2023: 27.1010203040201020152020

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

Healthy-diet animal-source food cost

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

Liberia: Healthy-diet animal-source food cost2021: 1.13; 2021: 1.1300.511.520152020

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

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

Liberia: Cost of a healthy diet2017: 3.24; 2025: 3.60123420202025

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

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

Liberia: Healthy-diet fruit cost2021: 0.4; 2021: 0.400.10.20.30.40.520152020

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

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

Liberia: Healthy-diet legumes and nuts cost2021: 0.28; 2021: 0.2800.10.20.320152020

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

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

Liberia: Healthy-diet oils and fats cost2021: 0.11; 2021: 0.1100.050.10.1520152020

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

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

Liberia: Healthy-diet starchy-staple cost2021: 0.73; 2021: 0.7300.20.40.60.820152020

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

59.6 % latest value, 2025

Liberia: Unable to afford a healthy diet2017: 65.8; 2025: 59.602040608020202025

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

3.4 million No latest value, 2025

Liberia: People unable to afford a healthy diet2017: 3.2; 2025: 3.40123420202025

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

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

Liberia: Healthy-diet vegetable cost2021: 1.04; 2021: 1.0400.511.520152020

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

Income share held by lowest 20%

7.2 % of income or consumption latest value, 2016

Liberia: Income share held by lowest 20%2007: 6.5; 2016: 7.20246820102015

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

35.3 index, 0-100 latest value, 2016

Liberia: Gini index2007: 36.4; 2016: 35.301020304020102015

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%

42.8 % of income or consumption latest value, 2016

Liberia: Income share held by highest 20%2007: 43.4; 2016: 42.80102030405020102015

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

1,737 kcal/cap/d latest value, 2025

Liberia: Minimum dietary energy requirement2000: 1,686; 2025: 1,73705001,0001,5002,000200020052010201520202025

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

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

33.6 % of population, 2021 PPP latest value, 2016

Liberia: Poverty headcount ratio at $3.00 a day (2021 PPP) (% of population)2007: 61.1; 2016: 33.602040608020102015

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)

Caloric losses at retail distribution

3.07 % latest value, 2025

Liberia: Caloric losses at retail distribution2000: 3.35; 2025: 3.0701234200020052010201520202025

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)

2.9 litres per person aged 15+ latest value, 2020

Liberia: Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)2000: 4.5; 2020: 2.901234520002005201020152020

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

42.5 % latest value, 2023

Liberia: Anaemia among women aged 15–492000: 52.8; 2023: 42.5020406020002005201020152020

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

Overweight among children under 5

6.1 % latest value, 2024

Liberia: Overweight among children under 52000: 4.6; 2024: 6.10246820002005201020152020

FAOSTAT FS, Percentage of children under 5 years of age who are overweight (modelled estimates) (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

Prevalence of stunting, height for age (% of children under 5)

29.8 % of children under 5 latest value, 2019

Liberia: Prevalence of stunting, height for age (% of children under 5)2000: 45.3; 2019: 29.8010203040502000200520102015

Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.

Source: Prevalence of stunting, height for age (% of children under 5)

Wasting among children under 5

3.4 % latest value, 2019

Liberia: Wasting among children under 52000: 7.4; 2019: 3.4024682000200520102015

FAOSTAT FS, Percentage of children under 5 years affected by wasting (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

0 mean index 0–100 latest value, 2022

Liberia: COVID economic support index2020: 0; 2022: 0024682020

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

52.3 mean index 0–100 latest value, 2022

Liberia: COVID containment and health index2020: 44.5; 2022: 52.302040602020

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

45.7 mean index 0–100 latest value, 2022

Liberia: COVID government response2020: 38.9; 2022: 45.7010203040502020

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

39.7 mean index 0–100 latest value, 2022

Liberia: COVID policy stringency2020: 53.4; 2022: 39.702040602020

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

4,407 by report dates in year latest value, 2021

Liberia: Reported COVID-19 cases2021: 4,407; 2021: 4,40701,0002,0003,0004,0005,00020152020

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)

9.2 % of people aged 20-79 latest value, 2024

Liberia: Diabetes prevalence (% of population ages 20 to 79)2011: 3.3; 2024: 9.2024681020152020

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)

Exclusive breastfeeding under 6 months

55.2 % latest value, 2019

Liberia: Exclusive breastfeeding under 6 months2000: 35.4; 2019: 55.202040602000200520102015

FAOSTAT FS, Prevalence of exclusive breastfeeding among infants 0-5 months of age (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

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

80.8 % of population latest value, 2023

Liberia: Prevalence of moderate or severe food insecurity in the population (%)2015: 79.7; 2023: 80.802040608010020152020

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 (%)

37.1 % of population latest value, 2023

Liberia: Prevalence of severe food insecurity in the population (%)2015: 38.6; 2023: 37.101020304020152020

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)

63.2 % of current health expenditure latest value, 2023

Liberia: Out-of-pocket expenditure (% of current health expenditure)2000: 69.6; 2023: 63.202040608020002005201020152020

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)

13 % of GDP latest value, 2023

Liberia: Current health expenditure (% of GDP)2000: 2.7; 2023: 1305101520002005201020152020

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$)

103.9 current US dollars latest value, 2023

Liberia: Current health expenditure per capita (current US$)2000: 7.9; 2023: 103.905010015020002005201020152020

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$)

Prevalence of HIV, total (% of population ages 15-49)

0.9 % of people aged 15-49 latest value, 2024

Liberia: Prevalence of HIV, total (% of population ages 15-49)1990: 1.8; 2024: 0.901231990199520002005201020152020

Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.

Source: Prevalence of HIV, total (% of population ages 15-49)

Hospital beds (per 1,000 people)

1.6 per 1,000 people latest value, 2021

Liberia: Hospital beds (per 1,000 people)1960: 1.3; 2021: 1.600.511.521960197019801990200020102020

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

19.9 % latest value, 2020

Liberia: Low birthweight2000: 19.3; 2020: 19.90510152020002005201020152020

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)

1 per 1,000 people latest value, 2022

Liberia: Nurses and midwives (per 1,000 people)2004: 0.3; 2022: 100.511.52005201020152020

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+

17.8 % latest value, 2024

Liberia: Obesity among adults aged 18+2000: 3.7; 2024: 17.80510152020002005201020152020

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)

0.2 per 1,000 people latest value, 2022

Liberia: Physicians (per 1,000 people)1960: 0.1; 2022: 0.200.10.10.20.21960197019801990200020102020

Physicians include generalist and specialist medical practitioners.

Source: Physicians (per 1,000 people)

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

38.9 per 100,000 people latest value, 2019

Liberia: Mortality caused by road traffic injury (per 100,000 population)2000: 35.5; 2019: 38.90102030402000200520102015

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)

Suicide mortality rate (per 100,000 population)

6 per 100,000 people latest value, 2021

Liberia: Suicide mortality rate (per 100,000 population)2000: 5.1; 2021: 60246820002005201020152020

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)

5.2 % of adults latest value, 2024

Liberia: Prevalence of current tobacco use (% of adults)2000: 18.4; 2024: 5.20510152020002005201020152020

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)

207 per 100,000 people latest value, 2024

Liberia: Incidence of tuberculosis (per 100,000 people)2000: 115; 2024: 207010020030040020002005201020152020

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)

35.5 % of population latest value, 2023

Liberia: Prevalence of undernourishment (% of population)2001: 34.9; 2023: 35.50102030402005201020152020

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)

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

83 % of children aged 12-23 months latest value, 2024

Liberia: Immunization, DPT (% of children ages 12-23 months)1999: 52; 2024: 8302040608010020002005201020152020

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)

82 % of children aged 12-23 months latest value, 2024

Liberia: Immunization, measles (% of children ages 12-23 months)1999: 69; 2024: 8202040608010020002005201020152020

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

International tourism, receipts (current US$)

123,000,000 current US dollars latest value, 2009

Liberia: International tourism, receipts (current US$)2004: 59,000,000; 2009: 123,000,000050,000,000100,000,000150,000,000200,000,0002005

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$)

Land and housing

Agricultural land (% of land area)

20 % of land area latest value, 2023

Liberia: Agricultural land (% of land area)1961: 11.9; 2023: 2005101520197019801990200020102020

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$)

1,424.2 constant 2015 US dollars latest value, 2025

Liberia: Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)2000: 1,064.1; 2025: 1,424.205001,0001,500200020052010201520202025

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$)

Arable land (% of land area)

5.2 % of land area latest value, 2023

Liberia: Arable land (% of land area)1961: 3.9; 2023: 5.20246197019801990200020102020

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)

1,067.5 kg per hectare latest value, 2023

Liberia: Cereal yield (kg per hectare)1961: 575; 2023: 1,067.505001,0001,5002,000197019801990200020102020

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

0.56 1000 ha latest value, 2024

Liberia: Certified organic agricultural land2018: 0; 2024: 0.56024682020

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

Land equipped for irrigation

3 1000 ha latest value, 2024

Liberia: Land equipped for irrigation1970: 2; 2024: 301234197019801990200020102020

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

Planted forest

200 1000 ha latest value, 2025

Liberia: Planted forest1990: 200; 2025: 20005010015020025019901995200020052010201520202025

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

Everyday environment

Air transport, passengers carried

32,000 passengers per year latest value, 1992

Liberia: Air transport, passengers carried1974: 25,000; 1992: 32,000010,00020,00030,00040,00050,00060,0001975198019851990

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

Access to electricity (% of population)

34.9 % of population latest value, 2024

Liberia: Access to electricity (% of population)2007: 3; 2024: 34.9010203040201020152020

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)

11.7 kg of nutrients per hectare latest value, 2023

Liberia: Fertilizer consumption (kilograms per hectare of arable land)1961: 0.1; 2023: 11.70510152025197019801990200020102020

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)

78.1 % of land area latest value, 2023

Liberia: Forest area (% of land area)1990: 88.5; 2023: 78.10204060801001990199520002005201020152020

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)

Land temperature anomaly

1.42 °C latest value, 2025

Liberia: Land temperature anomaly1961: −0.1; 2025: 1.4200.511.52197019801990200020102020

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

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

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

Liberia: PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)1990: 18.7; 2023: 17.905101520251990199520002005201020152020

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)

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

0.3 % of available freshwater resources latest value, 2022

Liberia: Level of water stress: freshwater withdrawal as a proportion of available freshwater resources1987: 0.2; 2022: 0.300.10.20.31990199520002005201020152020

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)

59.4 % of people aged 15+ latest value, 2010

Liberia: Literacy rate, adult total (% of people ages 15 and above)1984: 32.1; 2010: 59.40204060198519901995200020052010

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 in employment, total (% of children ages 7-14)

18.4 % of children aged 7-14 latest value, 2010

Liberia: Children in employment, total (% of children ages 7-14)2007: 37.4; 2010: 18.401020304020052010

Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.

Source: Children in employment, total (% of children ages 7-14)

Children out of school (% of primary school age)

38.3 % of primary-school-age children latest value, 2022

Liberia: Children out of school (% of primary school age)1999: 55.8; 2022: 38.3020406020002005201020152020

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)

Government expenditure on education, total (% of GDP)

2.3 % of GDP latest value, 2023

Liberia: Government expenditure on education, total (% of GDP)1978: 7; 2023: 2.30246819801990200020102020

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)

74.4 % of population aged 15+ latest value, 2025

Liberia: Employment to population ratio, 15+, total (%) (modeled ILO estimate)1991: 75.2; 2025: 74.40204060801995200020052010201520202025

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)

76.6 % of population aged 15+ latest value, 2025

Liberia: Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)1990: 77.3; 2025: 76.602040608019901995200020052010201520202025

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)

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

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

Liberia: New business density (new registrations per 1,000 people ages 15-64)2011: 0; 2024: 0.10000.120152020

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)

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

57.8 % of relevant age group latest value, 2022

Liberia: Primary completion rate, total (% of relevant age group)1978: 27.6; 2022: 57.802040608019801990200020102020

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)

76.9 % of employment latest value, 2025

Liberia: Vulnerable employment, total (% of total employment) (modeled ILO estimate)1991: 75.5; 2025: 76.90204060801001995200020052010201520202025

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)

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

75.1 % of people aged 15-24 latest value, 2013

Liberia: Literacy rate, youth total (% of people ages 15-24)1984: 47.6; 2013: 75.1020406080198519901995200020052010

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)

39.9 % of youth aged 15-24 latest value, 2017

Liberia: Share of youth not in education, employment or training, total (% of youth population)2010: 24.3; 2017: 39.901020304020102015

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

10,813 accounts latest value, 2025

Liberia: GitHub developer accounts at year end2020: 1,966; 2025: 10,81305,00010,00015,00020202025

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

35,096 git pushes latest value, 2025

Liberia: GitHub git pushes2021: 10,578; 2025: 35,096010,00020,00030,00040,00020202025

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

391 organizations latest value, 2025

Liberia: GitHub organizations at year end2020: 178; 2025: 391010020030040020202025

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

19,101 repositories latest value, 2025

Liberia: GitHub repositories at year end2020: 2,412; 2025: 19,10105,00010,00015,00020,00020202025

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)

0.6 % of manufactured exports latest value, 2023

Liberia: High-technology exports (% of manufactured exports)2017: 56.9; 2023: 0.602040602020

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)

Patent applications, residents

14 applications per year latest value, 1993

Liberia: Patent applications, residents1991: 6; 1993: 140510151990

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

Patent applications by origin, worldwide

7 applications per year latest value, 2024

Liberia: Patent applications by origin, worldwide1991: 6; 2024: 7051015199520002005201020152020

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

5 applications per year latest value, 2024

Liberia: Patent applications abroad by origin1982: 1; 2024: 501234561990200020102020

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

1 applications per year latest value, 2024

Liberia: PCT international patent applications2004: 1; 2024: 10112232005201020152020

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

Communities and participation

Proportion of seats held by women in national parliaments (%)

11 % of seats latest value, 2025

Liberia: Proportion of seats held by women in national parliaments (%)2000: 7.8; 2025: 11051015200020052010201520202025

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

85.2 % of population latest value, 2020

Liberia: Christians — population share2010: 85.7; 2020: 85.2020406080100201020152020

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

4,390 thousand persons latest value, 2020

Liberia: Christians — population2010: 3,480; 2020: 4,39001,0002,0003,0004,0005,000201020152020

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

12.7 % of population latest value, 2020

Liberia: Muslims — population share2010: 12.1; 2020: 12.7051015201020152020

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

660 thousand persons latest value, 2020

Liberia: Muslims — population2010: 490; 2020: 6600200400600800201020152020

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

1.1 % of population latest value, 2020

Liberia: Religiously unaffiliated — population share2010: 1.5; 2020: 1.100.511.52201020152020

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

50 thousand persons latest value, 2020

Liberia: Religiously unaffiliated — population2010: 60; 2020: 50020406080201020152020

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

1 % of population latest value, 2020

Liberia: Other religions — population share2010: 0.7; 2020: 100.20.40.60.811.2201020152020

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

50 thousand persons latest value, 2020

Liberia: Other religions — population2010: 30; 2020: 500102030405060201020152020

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

98 rank among 201 latest value, 2020

Liberia: Religious diversity — country rank2010: 94; 2020: 98020406080100201020152020

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

3 index points (0–10) latest value, 2020

Liberia: Religious diversity index2010: 2.9; 2020: 301234201020152020

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

4.9 index points (0–10) latest value, 2020

Liberia: Religious composition: balance between two groups2010: 4.7; 2020: 4.9012345201020152020

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

98.9 % of population latest value, 2020

Liberia: Religiously affiliated — population share2010: 98.5; 2020: 98.9020406080100201020152020

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

5,090 thousand persons latest value, 2020

Liberia: Religiously affiliated — population2010: 4,000; 2020: 5,09002,0004,0006,000201020152020

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

Government restrictions on religion

2 index points (0–10) latest value, 2023

Liberia: Government restrictions on 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

Social hostilities involving religion

5.1 index points (0–10) latest value, 2023

Liberia: Social hostilities involving religion2023: 5.1; 2023: 5.102462020

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

Christians among immigrants — share

47.8 % of migrants latest value, 2020

Liberia: Christians among immigrants — share1990: 45.5; 2020: 47.802040601990199520002005201020152020

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

40 thousand persons latest value, 2020

Liberia: Christians among immigrants — population1990: 40; 2020: 400204060801990199520002005201020152020

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

41.2 % of migrants latest value, 2020

Liberia: Muslims among immigrants — share1990: 45.4; 2020: 41.202040601990199520002005201020152020

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

40 thousand persons latest value, 2020

Liberia: Muslims among immigrants — population1990: 40; 2020: 400501001501990199520002005201020152020

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

3.5 % of migrants latest value, 2020

Liberia: Religiously unaffiliated among immigrants — share1990: 4; 2020: 3.50123451990199520002005201020152020

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

0 % of migrants latest value, 2020

Liberia: Buddhists among immigrants — share1990: 0.1; 2020: 00000.10.10.10.11990199520002005201020152020

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

0.3 % of migrants latest value, 2020

Liberia: Hindus among immigrants — share1990: 0.5; 2020: 0.300.10.20.30.40.50.61990199520002005201020152020

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

Jews among immigrants — share

0 % of migrants latest value, 2020

Liberia: Jews among immigrants — share1990: 0.2; 2020: 000.10.10.20.20.31990199520002005201020152020

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

Other religions among immigrants — share

7.1 % of migrants latest value, 2020

Liberia: Other religions among immigrants — share1990: 4.3; 2020: 7.102468101990199520002005201020152020

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

71.5 % of migrants latest value, 2020

Liberia: Christians among emigrants — share1990: 35.6; 2020: 71.50204060801990199520002005201020152020

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

180 thousand persons latest value, 2020

Liberia: Christians among emigrants — population1990: 190; 2020: 1800501001502002501990199520002005201020152020

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

21.4 % of migrants latest value, 2020

Liberia: Muslims among emigrants — share1990: 56; 2020: 21.402040601990199520002005201020152020

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 — population

50 thousand persons latest value, 2020

Liberia: Muslims among emigrants — population1990: 300; 2020: 5001002003004001990199520002005201020152020

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

2.1 % of migrants latest value, 2020

Liberia: Religiously unaffiliated among emigrants — share1990: 0.7; 2020: 2.100.511.522.51990199520002005201020152020

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

Buddhists among emigrants — share

0 % of migrants latest value, 2020

Liberia: Buddhists among emigrants — share1990: 0; 2020: 0011990199520002005201020152020

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

0.4 % of migrants latest value, 2020

Liberia: Hindus among emigrants — share1990: 0.1; 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 emigrants — share

0 % of migrants latest value, 2020

Liberia: Jews among emigrants — share1990: 0; 2020: 0011990199520002005201020152020

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

4.6 % of migrants latest value, 2020

Liberia: Other religions among emigrants — share1990: 7.5; 2020: 4.6024681990199520002005201020152020

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 — population

10 thousand persons latest value, 2020

Liberia: Other religions among emigrants — population1990: 40; 2020: 10010203040501990199520002005201020152020

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

Catholics — population, 2010 estimate

290 thousand persons latest value, 2010

Liberia: Catholics — population, 2010 estimate2010: 290; 2010: 290010020030020052010

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

3,040 thousand persons latest value, 2010

Liberia: Protestants — population, 2010 estimate2010: 3,040; 2010: 3,04001,0002,0003,0004,00020052010

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)

Eastern and Oriental Orthodox — population, 2010 estimate

40 thousand persons latest value, 2010

Liberia: Eastern and Oriental Orthodox — population, 2010 estimate2010: 40; 2010: 400102030405020052010

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

60 thousand persons latest value, 2010

Liberia: Other Christians — population, 2010 estimate2010: 60; 2010: 6002040608020052010

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)

Sunni — adult Muslim self-identification

38 % of Muslim adults latest value, 2009

Liberia: Sunni — adult Muslim self-identification2009: 38; 2009: 380102030402005

Published weighted responses among Muslim adults aged 18+, Q31 and the published Q32 subtotal; not shares of all residents or all-age population counts. Chart year is the fieldwork end year; exact dates are in the table. Fourteen African samples date to 2008–2009 and the remaining samples to 2011–2012. Sunni/Shia self-identification differs from Pew’s 2009 ethnographic classification: “just a Muslim” is not reassigned to either. Zero is a rounded survey answer, not proof of an absent community. Ahmadiyya, Alevi, Bektashi and Aliran Kepercayaan are volunteered (VOL.) responses. Sufi affiliation is a separate question and overlaps Sunni/Shia identities; do not add it to Q31. Thailand covers only five southern provinces and is a region, never a country chart point. Chad and DR Congo samples are disproportionately urban; some countries exclude inaccessible areas. Several major Muslim populations, including India, Iran and Saudi Arabia, were not surveyed. No world total can be inferred. See the source methodology for country-specific sampling exclusions and margins of error. 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: adult Muslim self-identification, surveys in 2008–2012

Shia — adult Muslim self-identification

9 % of Muslim adults latest value, 2009

Liberia: Shia — adult Muslim self-identification2009: 9; 2009: 902468102005

Published weighted responses among Muslim adults aged 18+, Q31 and the published Q32 subtotal; not shares of all residents or all-age population counts. Chart year is the fieldwork end year; exact dates are in the table. Fourteen African samples date to 2008–2009 and the remaining samples to 2011–2012. Sunni/Shia self-identification differs from Pew’s 2009 ethnographic classification: “just a Muslim” is not reassigned to either. Zero is a rounded survey answer, not proof of an absent community. Ahmadiyya, Alevi, Bektashi and Aliran Kepercayaan are volunteered (VOL.) responses. Sufi affiliation is a separate question and overlaps Sunni/Shia identities; do not add it to Q31. Thailand covers only five southern provinces and is a region, never a country chart point. Chad and DR Congo samples are disproportionately urban; some countries exclude inaccessible areas. Several major Muslim populations, including India, Iran and Saudi Arabia, were not surveyed. No world total can be inferred. See the source methodology for country-specific sampling exclusions and margins of error. 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: adult Muslim self-identification, surveys in 2008–2012

Ahmadiyya — adult Muslim self-identification

10 % of Muslim adults latest value, 2009

Liberia: Ahmadiyya — adult Muslim self-identification2009: 10; 2009: 100246810122005

Published weighted responses among Muslim adults aged 18+, Q31 and the published Q32 subtotal; not shares of all residents or all-age population counts. Chart year is the fieldwork end year; exact dates are in the table. Fourteen African samples date to 2008–2009 and the remaining samples to 2011–2012. Sunni/Shia self-identification differs from Pew’s 2009 ethnographic classification: “just a Muslim” is not reassigned to either. Zero is a rounded survey answer, not proof of an absent community. Ahmadiyya, Alevi, Bektashi and Aliran Kepercayaan are volunteered (VOL.) responses. Sufi affiliation is a separate question and overlaps Sunni/Shia identities; do not add it to Q31. Thailand covers only five southern provinces and is a region, never a country chart point. Chad and DR Congo samples are disproportionately urban; some countries exclude inaccessible areas. Several major Muslim populations, including India, Iran and Saudi Arabia, were not surveyed. No world total can be inferred. See the source methodology for country-specific sampling exclusions and margins of error. 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: adult Muslim self-identification, surveys in 2008–2012

Alevi — adult Muslim self-identification

0 % of Muslim adults latest value, 2009

Liberia: Alevi — adult Muslim self-identification2009: 0; 2009: 0012005

Published weighted responses among Muslim adults aged 18+, Q31 and the published Q32 subtotal; not shares of all residents or all-age population counts. Chart year is the fieldwork end year; exact dates are in the table. Fourteen African samples date to 2008–2009 and the remaining samples to 2011–2012. Sunni/Shia self-identification differs from Pew’s 2009 ethnographic classification: “just a Muslim” is not reassigned to either. Zero is a rounded survey answer, not proof of an absent community. Ahmadiyya, Alevi, Bektashi and Aliran Kepercayaan are volunteered (VOL.) responses. Sufi affiliation is a separate question and overlaps Sunni/Shia identities; do not add it to Q31. Thailand covers only five southern provinces and is a region, never a country chart point. Chad and DR Congo samples are disproportionately urban; some countries exclude inaccessible areas. Several major Muslim populations, including India, Iran and Saudi Arabia, were not surveyed. No world total can be inferred. See the source methodology for country-specific sampling exclusions and margins of error. 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: adult Muslim self-identification, surveys in 2008–2012

Bektashi — adult Muslim self-identification

0 % of Muslim adults latest value, 2009

Liberia: Bektashi — adult Muslim self-identification2009: 0; 2009: 0012005

Published weighted responses among Muslim adults aged 18+, Q31 and the published Q32 subtotal; not shares of all residents or all-age population counts. Chart year is the fieldwork end year; exact dates are in the table. Fourteen African samples date to 2008–2009 and the remaining samples to 2011–2012. Sunni/Shia self-identification differs from Pew’s 2009 ethnographic classification: “just a Muslim” is not reassigned to either. Zero is a rounded survey answer, not proof of an absent community. Ahmadiyya, Alevi, Bektashi and Aliran Kepercayaan are volunteered (VOL.) responses. Sufi affiliation is a separate question and overlaps Sunni/Shia identities; do not add it to Q31. Thailand covers only five southern provinces and is a region, never a country chart point. Chad and DR Congo samples are disproportionately urban; some countries exclude inaccessible areas. Several major Muslim populations, including India, Iran and Saudi Arabia, were not surveyed. No world total can be inferred. See the source methodology for country-specific sampling exclusions and margins of error. 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: adult Muslim self-identification, surveys in 2008–2012

Aliran Kepercayaan — adult Muslim self-identification

0 % of Muslim adults latest value, 2009

Liberia: Aliran Kepercayaan — adult Muslim self-identification2009: 0; 2009: 0012005

Published weighted responses among Muslim adults aged 18+, Q31 and the published Q32 subtotal; not shares of all residents or all-age population counts. Chart year is the fieldwork end year; exact dates are in the table. Fourteen African samples date to 2008–2009 and the remaining samples to 2011–2012. Sunni/Shia self-identification differs from Pew’s 2009 ethnographic classification: “just a Muslim” is not reassigned to either. Zero is a rounded survey answer, not proof of an absent community. Ahmadiyya, Alevi, Bektashi and Aliran Kepercayaan are volunteered (VOL.) responses. Sufi affiliation is a separate question and overlaps Sunni/Shia identities; do not add it to Q31. Thailand covers only five southern provinces and is a region, never a country chart point. Chad and DR Congo samples are disproportionately urban; some countries exclude inaccessible areas. Several major Muslim populations, including India, Iran and Saudi Arabia, were not surveyed. No world total can be inferred. See the source methodology for country-specific sampling exclusions and margins of error. 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: adult Muslim self-identification, surveys in 2008–2012

Something else — adult Muslim self-identification

0 % of Muslim adults latest value, 2009

Liberia: Something else — adult Muslim self-identification2009: 0; 2009: 0012005

Published weighted responses among Muslim adults aged 18+, Q31 and the published Q32 subtotal; not shares of all residents or all-age population counts. Chart year is the fieldwork end year; exact dates are in the table. Fourteen African samples date to 2008–2009 and the remaining samples to 2011–2012. Sunni/Shia self-identification differs from Pew’s 2009 ethnographic classification: “just a Muslim” is not reassigned to either. Zero is a rounded survey answer, not proof of an absent community. Ahmadiyya, Alevi, Bektashi and Aliran Kepercayaan are volunteered (VOL.) responses. Sufi affiliation is a separate question and overlaps Sunni/Shia identities; do not add it to Q31. Thailand covers only five southern provinces and is a region, never a country chart point. Chad and DR Congo samples are disproportionately urban; some countries exclude inaccessible areas. Several major Muslim populations, including India, Iran and Saudi Arabia, were not surveyed. No world total can be inferred. See the source methodology for country-specific sampling exclusions and margins of error. 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: adult Muslim self-identification, surveys in 2008–2012

Nothing in particular — adult Muslim self-identification

4 % of Muslim adults latest value, 2009

Liberia: Nothing in particular — adult Muslim self-identification2009: 4; 2009: 40123452005

Published weighted responses among Muslim adults aged 18+, Q31 and the published Q32 subtotal; not shares of all residents or all-age population counts. Chart year is the fieldwork end year; exact dates are in the table. Fourteen African samples date to 2008–2009 and the remaining samples to 2011–2012. Sunni/Shia self-identification differs from Pew’s 2009 ethnographic classification: “just a Muslim” is not reassigned to either. Zero is a rounded survey answer, not proof of an absent community. Ahmadiyya, Alevi, Bektashi and Aliran Kepercayaan are volunteered (VOL.) responses. Sufi affiliation is a separate question and overlaps Sunni/Shia identities; do not add it to Q31. Thailand covers only five southern provinces and is a region, never a country chart point. Chad and DR Congo samples are disproportionately urban; some countries exclude inaccessible areas. Several major Muslim populations, including India, Iran and Saudi Arabia, were not surveyed. No world total can be inferred. See the source methodology for country-specific sampling exclusions and margins of error. 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: adult Muslim self-identification, surveys in 2008–2012

Just a Muslim — adult Muslim self-identification

22 % of Muslim adults latest value, 2009

Liberia: Just a Muslim — adult Muslim self-identification2009: 22; 2009: 2205101520252005

Published weighted responses among Muslim adults aged 18+, Q31 and the published Q32 subtotal; not shares of all residents or all-age population counts. Chart year is the fieldwork end year; exact dates are in the table. Fourteen African samples date to 2008–2009 and the remaining samples to 2011–2012. Sunni/Shia self-identification differs from Pew’s 2009 ethnographic classification: “just a Muslim” is not reassigned to either. Zero is a rounded survey answer, not proof of an absent community. Ahmadiyya, Alevi, Bektashi and Aliran Kepercayaan are volunteered (VOL.) responses. Sufi affiliation is a separate question and overlaps Sunni/Shia identities; do not add it to Q31. Thailand covers only five southern provinces and is a region, never a country chart point. Chad and DR Congo samples are disproportionately urban; some countries exclude inaccessible areas. Several major Muslim populations, including India, Iran and Saudi Arabia, were not surveyed. No world total can be inferred. See the source methodology for country-specific sampling exclusions and margins of error. 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: adult Muslim self-identification, surveys in 2008–2012

Don’t know or refused — adult Muslim self-identification

17 % of Muslim adults latest value, 2009

Liberia: Don’t know or refused — adult Muslim self-identification2009: 17; 2009: 17051015202005

Published weighted responses among Muslim adults aged 18+, Q31 and the published Q32 subtotal; not shares of all residents or all-age population counts. Chart year is the fieldwork end year; exact dates are in the table. Fourteen African samples date to 2008–2009 and the remaining samples to 2011–2012. Sunni/Shia self-identification differs from Pew’s 2009 ethnographic classification: “just a Muslim” is not reassigned to either. Zero is a rounded survey answer, not proof of an absent community. Ahmadiyya, Alevi, Bektashi and Aliran Kepercayaan are volunteered (VOL.) responses. Sufi affiliation is a separate question and overlaps Sunni/Shia identities; do not add it to Q31. Thailand covers only five southern provinces and is a region, never a country chart point. Chad and DR Congo samples are disproportionately urban; some countries exclude inaccessible areas. Several major Muslim populations, including India, Iran and Saudi Arabia, were not surveyed. No world total can be inferred. See the source methodology for country-specific sampling exclusions and margins of error. 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: adult Muslim self-identification, surveys in 2008–2012

Affiliated with a Sufi order — adult Muslim self-identification

45 % of Muslim adults latest value, 2009

Liberia: Affiliated with a Sufi order — adult Muslim self-identification2009: 45; 2009: 45010203040502005

Published weighted responses among Muslim adults aged 18+, Q31 and the published Q32 subtotal; not shares of all residents or all-age population counts. Chart year is the fieldwork end year; exact dates are in the table. Fourteen African samples date to 2008–2009 and the remaining samples to 2011–2012. Sunni/Shia self-identification differs from Pew’s 2009 ethnographic classification: “just a Muslim” is not reassigned to either. Zero is a rounded survey answer, not proof of an absent community. Ahmadiyya, Alevi, Bektashi and Aliran Kepercayaan are volunteered (VOL.) responses. Sufi affiliation is a separate question and overlaps Sunni/Shia identities; do not add it to Q31. Thailand covers only five southern provinces and is a region, never a country chart point. Chad and DR Congo samples are disproportionately urban; some countries exclude inaccessible areas. Several major Muslim populations, including India, Iran and Saudi Arabia, were not surveyed. No world total can be inferred. See the source methodology for country-specific sampling exclusions and margins of error. 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: adult Muslim self-identification, surveys in 2008–2012

Internet and communication freedom

Communication restrictions: documented cases

1 documented cases a year latest value, 2019

Liberia: Communication restrictions: documented cases2019: 1; 2019: 100011112015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Full-network restrictions

1 documented cases a year latest value, 2019

Liberia: Full-network restrictions2019: 1; 2019: 100011112015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Service-based restrictions

1 documented cases a year latest value, 2019

Liberia: Service-based restrictions2019: 1; 2019: 100011112015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Intentional throttling

0 documented cases a year latest value, 2019

Liberia: Intentional throttling2019: 0; 2019: 0012015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Mobile internet restrictions

1 documented cases a year latest value, 2019

Liberia: Mobile internet restrictions2019: 1; 2019: 100011112015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Broadband internet restrictions

1 documented cases a year latest value, 2019

Liberia: Broadband internet restrictions2019: 1; 2019: 100011112015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

SMS restrictions

0 documented cases a year latest value, 2019

Liberia: SMS restrictions2019: 0; 2019: 0012015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Facebook restrictions

1 documented cases a year latest value, 2019

Liberia: Facebook restrictions2019: 1; 2019: 100011112015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

X / Twitter restrictions

0 documented cases a year latest value, 2019

Liberia: X / Twitter restrictions2019: 0; 2019: 0012015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

WhatsApp restrictions

1 documented cases a year latest value, 2019

Liberia: WhatsApp restrictions2019: 1; 2019: 100011112015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Instagram restrictions

1 documented cases a year latest value, 2019

Liberia: Instagram restrictions2019: 1; 2019: 100011112015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Telegram restrictions

0 documented cases a year latest value, 2019

Liberia: Telegram restrictions2019: 0; 2019: 0012015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Restrictions linked to protests

1 documented cases a year latest value, 2019

Liberia: Restrictions linked to protests2019: 1; 2019: 100011112015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Restrictions linked to elections

0 documented cases a year latest value, 2019

Liberia: Restrictions linked to elections2019: 0; 2019: 0012015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Restrictions linked to conflict

0 documented cases a year latest value, 2019

Liberia: Restrictions linked to conflict2019: 0; 2019: 0012015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Restrictions linked to exams

0 documented cases a year latest value, 2019

Liberia: Restrictions linked to exams2019: 0; 2019: 0012015

Cases documented by Access Now / #KeepItOn in the reporting calendar year. Ongoing restrictions count in each year they persist, not only when they begin. Country denotes the affected location, not necessarily the imposing actor. Detection coverage varies; missing country-years are not filled with zero. Counts do not measure affected people, disconnected hours or censorship severity. Subcategories overlap. A subcategory zero means no explicit positive flags among the country-year records; unknown attributes remain in the detailed data.

Source: Access Now / #KeepItOn: STOP tracker

Markets and valuations

Private-sector credit / GDP

14.79 % of GDP latest value, 2022

Liberia: Private-sector credit / GDP1974: 0.63; 2022: 14.790510152019801990200020102020

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)

Industry and waste

Manufacturing, share of GDP

2.3 % of GDP latest value, 2011

Liberia: Manufacturing, share of GDP2000: 2.5; 2011: 2.3012345200020052010

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

24.5 % of GDP latest value, 2025

Liberia: Industry incl. construction, share of GDP2000: 4.2; 2025: 24.50510152025200020052010201520202025

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 (UNIDO)

37 constant 2020 US$ per person latest value, 2025

Liberia: Manufacturing value added per person (UNIDO)2000: 2; 2025: 3701020304050200020052010201520202025

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)

5.1 % of GDP latest value, 2025

Liberia: Manufacturing, share of GDP (UNIDO)2000: 0.4; 2025: 5.10246810200020052010201520202025

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

Education and work

Unemployment aged 25 and over: basic education (ILO)

3.9 % of labour force latest value, 2017

Liberia: Unemployment aged 25 and over: basic education (ILO)2010: 2.4; 2017: 3.90123420102015

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)

9.4 % of labour force latest value, 2017

Liberia: Unemployment aged 25 and over: intermediate education (ILO)2010: 3.3; 2017: 9.4024681020102015

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)

8.3 % of labour force latest value, 2017

Liberia: Unemployment aged 25 and over: advanced (tertiary) education (ILO)2010: 3.7; 2017: 8.3024681020102015

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)

6.6 % of labour force latest value, 2017

Liberia: Unemployment aged 15-24: basic education (ILO)2010: 2.6; 2017: 6.60246820102015

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)

Employment aged 25 and over: basic education (ILO)

64.1 % of population latest value, 2017

Liberia: Employment aged 25 and over: basic education (ILO)2010: 71.9; 2017: 64.102040608010020102015

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)

70 % of population latest value, 2017

Liberia: Employment aged 25 and over: advanced (tertiary) education (ILO)2010: 76.5; 2017: 7002040608010020102015

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: Africa