1 Dependencies at a glance Liberia imports all of the oil it uses.
Dependence is net imports: imports minus exports, as a share of what the country uses; for potash and phosphate, of its supply (production plus net imports). Arms and chips show supplier concentration only: the main supplier’s share of imports (arms: five-year totals of deliveries in SIPRI’s trend-indicator value, SIPRI’s measure of military capability delivered, not price or number of weapons). Resource Dependence Position Main partners Oil Imports all of the oil it usesEIA, use 2024 · UN Comtrade, imports 2025, Democratic Republic of the Congo → Liberia as reported by the exporter Democratic Republic of the Congo , United Arab Emirates , China Natural gas – Uses no gas, by this source EIA, 2024 No partner data from the source Wheat – Not reported by this source – Maize – Not reported by this source – Rice Imports 58% of the rice it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 No partner data from the source Soybeans Imports <0.1% of the soybeans it uses FAOSTAT, use 2024 · FAOSTAT, imports 2023 No partner data from the source Potash Imports all of its potash supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 Germany , Russia , China Phosphate Imports all of its phosphate supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 No partner data from the source Arms – Supplier concentration only Main supplier: United States, 87% of importsSIPRI, 2021–2025 United States , Germany Chips – Supplier concentration only Main supplier: Belgium, 27% of importsUN Comtrade, 2025 Belgium , Türkiye , Germany
Dependence is net imports: imports minus exports, as a share of what the country uses; for potash and phosphate, of its supply (production plus net imports). Arms and chips show supplier concentration only: the main supplier’s share of imports (arms: five-year totals of deliveries in SIPRI’s trend-indicator value, SIPRI’s measure of military capability delivered, not price or number of weapons).
Oil Imports all of the oil it uses
Main partners: Democratic Republic of the Congo, United Arab Emirates, China
EIA, use 2024 · UN Comtrade, imports 2025, Democratic Republic of the Congo → Liberia as reported by the exporter
Natural gas Uses no gas, by this source
Main partners: No partner data from the source
EIA, 2024
Wheat Not reported by this source
Maize Not reported by this source
Rice Imports 58% of the rice it uses
Main partners: No partner data from the source
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Soybeans Imports <0.1% of the soybeans it uses
Main partners: No partner data from the source
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Potash Imports all of its potash supply
Main partners: Germany, Russia, China
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
Phosphate Imports all of its phosphate supply
Main partners: No partner data from the source
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
ArmsSupplier concentration only Main supplier: United States, 87% of imports
Main partners: United States, Germany
SIPRI, 2021–2025
ChipsSupplier concentration only Main supplier: Belgium, 27% of imports
Main partners: Belgium, Türkiye, Germany
UN Comtrade, 2025
Liberia’s economy produced $5.2 bn in 2025.
GDP, 2000–2025 $0 $2.0 bn $4.0 bn $6.0 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 5.0% 2025 · 45th of 186 · World Bank
Inflation 8.3% 2025 · 23rd of 169 · World Bank
Unemployment 2.9% 2025 · 146th of 181 · World Bank
Reserves US$368million 2024 · 155th of 164 · World Bank
Foreign investment in US$500million 2025 · 120th of 200 · World Bank
Liberia had 5.7 m people in 2025.
Population, 1950–2100 0 5.0 m 10 m 15 m 20 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Liberia’s population by age Men Women 0–4, men: 0.07 million 5–9, men: 0.06 million 10–14, men: 0.06 million 15–19, men: 0.05 million 20–24, men: 0.04 million 25–29, men: 0.04 million 30–34, men: 0.03 million 35–39, men: 0.03 million 40–44, men: 0.02 million 45–49, men: 0.02 million 50–54, men: 0.02 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.07 million 5–9, women: 0.06 million 10–14, women: 0.05 million 15–19, women: 0.05 million 20–24, women: 0.04 million 25–29, women: 0.03 million 30–34, women: 0.03 million 35–39, women: 0.02 million 40–44, women: 0.02 million 45–49, women: 0.02 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.08 million 5–9, men: 0.07 million 10–14, men: 0.06 million 15–19, men: 0.05 million 20–24, men: 0.05 million 25–29, men: 0.04 million 30–34, men: 0.04 million 35–39, men: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.02 million 50–54, men: 0.02 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.08 million 5–9, women: 0.06 million 10–14, women: 0.06 million 15–19, women: 0.05 million 20–24, women: 0.05 million 25–29, women: 0.04 million 30–34, women: 0.03 million 35–39, women: 0.03 million 40–44, women: 0.02 million 45–49, women: 0.02 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.1 million 5–9, men: 0.07 million 10–14, men: 0.06 million 15–19, men: 0.06 million 20–24, men: 0.05 million 25–29, men: 0.05 million 30–34, men: 0.04 million 35–39, men: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.02 million 50–54, men: 0.02 million 55–59, men: 0.02 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.1 million 5–9, women: 0.07 million 10–14, women: 0.06 million 15–19, women: 0.06 million 20–24, women: 0.05 million 25–29, women: 0.04 million 30–34, women: 0.04 million 35–39, women: 0.03 million 40–44, women: 0.02 million 45–49, women: 0.02 million 50–54, women: 0.02 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.11 million 5–9, men: 0.09 million 10–14, men: 0.07 million 15–19, men: 0.06 million 20–24, men: 0.06 million 25–29, men: 0.05 million 30–34, men: 0.04 million 35–39, men: 0.04 million 40–44, men: 0.03 million 45–49, men: 0.03 million 50–54, men: 0.02 million 55–59, men: 0.02 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.11 million 5–9, women: 0.09 million 10–14, women: 0.07 million 15–19, women: 0.06 million 20–24, women: 0.06 million 25–29, women: 0.05 million 30–34, women: 0.04 million 35–39, women: 0.04 million 40–44, women: 0.03 million 45–49, women: 0.02 million 50–54, women: 0.02 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.13 million 5–9, men: 0.1 million 10–14, men: 0.08 million 15–19, men: 0.07 million 20–24, men: 0.06 million 25–29, men: 0.06 million 30–34, men: 0.05 million 35–39, men: 0.04 million 40–44, men: 0.04 million 45–49, men: 0.03 million 50–54, men: 0.03 million 55–59, men: 0.02 million 60–64, men: 0.02 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.13 million 5–9, women: 0.1 million 10–14, women: 0.08 million 15–19, women: 0.07 million 20–24, women: 0.06 million 25–29, women: 0.06 million 30–34, women: 0.05 million 35–39, women: 0.04 million 40–44, women: 0.03 million 45–49, women: 0.03 million 50–54, women: 0.02 million 55–59, women: 0.02 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.15 million 5–9, men: 0.12 million 10–14, men: 0.1 million 15–19, men: 0.08 million 20–24, men: 0.07 million 25–29, men: 0.06 million 30–34, men: 0.06 million 35–39, men: 0.05 million 40–44, men: 0.04 million 45–49, men: 0.03 million 50–54, men: 0.03 million 55–59, men: 0.02 million 60–64, men: 0.02 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.15 million 5–9, women: 0.12 million 10–14, women: 0.1 million 15–19, women: 0.08 million 20–24, women: 0.07 million 25–29, women: 0.06 million 30–34, women: 0.05 million 35–39, women: 0.05 million 40–44, women: 0.04 million 45–49, women: 0.03 million 50–54, women: 0.03 million 55–59, women: 0.02 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.18 million 5–9, men: 0.13 million 10–14, men: 0.11 million 15–19, men: 0.1 million 20–24, men: 0.08 million 25–29, men: 0.07 million 30–34, men: 0.06 million 35–39, men: 0.05 million 40–44, men: 0.05 million 45–49, men: 0.04 million 50–54, men: 0.03 million 55–59, men: 0.03 million 60–64, men: 0.02 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.18 million 5–9, women: 0.14 million 10–14, women: 0.11 million 15–19, women: 0.1 million 20–24, women: 0.08 million 25–29, women: 0.07 million 30–34, women: 0.06 million 35–39, women: 0.05 million 40–44, women: 0.04 million 45–49, women: 0.04 million 50–54, women: 0.03 million 55–59, women: 0.02 million 60–64, women: 0.02 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.2 million 5–9, men: 0.16 million 10–14, men: 0.13 million 15–19, men: 0.11 million 20–24, men: 0.1 million 25–29, men: 0.08 million 30–34, men: 0.07 million 35–39, men: 0.06 million 40–44, men: 0.05 million 45–49, men: 0.04 million 50–54, men: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.02 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.2 million 5–9, women: 0.16 million 10–14, women: 0.13 million 15–19, women: 0.11 million 20–24, women: 0.1 million 25–29, women: 0.08 million 30–34, women: 0.07 million 35–39, women: 0.06 million 40–44, women: 0.05 million 45–49, women: 0.04 million 50–54, women: 0.03 million 55–59, women: 0.03 million 60–64, women: 0.02 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.2 million 5–9, men: 0.16 million 10–14, men: 0.14 million 15–19, men: 0.11 million 20–24, men: 0.09 million 25–29, men: 0.08 million 30–34, men: 0.07 million 35–39, men: 0.06 million 40–44, men: 0.05 million 45–49, men: 0.04 million 50–54, men: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.02 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.19 million 5–9, women: 0.16 million 10–14, women: 0.14 million 15–19, women: 0.11 million 20–24, women: 0.1 million 25–29, women: 0.08 million 30–34, women: 0.07 million 35–39, women: 0.06 million 40–44, women: 0.05 million 45–49, women: 0.04 million 50–54, women: 0.03 million 55–59, women: 0.03 million 60–64, women: 0.02 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.19 million 5–9, men: 0.15 million 10–14, men: 0.13 million 15–19, men: 0.12 million 20–24, men: 0.09 million 25–29, men: 0.08 million 30–34, men: 0.07 million 35–39, men: 0.05 million 40–44, men: 0.04 million 45–49, men: 0.04 million 50–54, men: 0.03 million 55–59, men: 0.03 million 60–64, men: 0.02 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.18 million 5–9, women: 0.15 million 10–14, women: 0.14 million 15–19, women: 0.12 million 20–24, women: 0.09 million 25–29, women: 0.08 million 30–34, women: 0.07 million 35–39, women: 0.06 million 40–44, women: 0.05 million 45–49, women: 0.04 million 50–54, women: 0.03 million 55–59, women: 0.03 million 60–64, women: 0.02 million 65–69, women: 0.02 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.25 million 5–9, men: 0.2 million 10–14, men: 0.18 million 15–19, men: 0.16 million 20–24, men: 0.13 million 25–29, men: 0.11 million 30–34, men: 0.09 million 35–39, men: 0.07 million 40–44, men: 0.06 million 45–49, men: 0.05 million 50–54, men: 0.04 million 55–59, men: 0.04 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.25 million 5–9, women: 0.2 million 10–14, women: 0.18 million 15–19, women: 0.16 million 20–24, women: 0.13 million 25–29, women: 0.11 million 30–34, women: 0.09 million 35–39, women: 0.08 million 40–44, women: 0.07 million 45–49, women: 0.05 million 50–54, women: 0.04 million 55–59, women: 0.04 million 60–64, women: 0.03 million 65–69, women: 0.02 million 70–74, women: 0.01 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.28 million 5–9, men: 0.23 million 10–14, men: 0.19 million 15–19, men: 0.17 million 20–24, men: 0.15 million 25–29, men: 0.13 million 30–34, men: 0.1 million 35–39, men: 0.08 million 40–44, men: 0.07 million 45–49, men: 0.06 million 50–54, men: 0.05 million 55–59, men: 0.04 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.28 million 5–9, women: 0.23 million 10–14, women: 0.19 million 15–19, women: 0.17 million 20–24, women: 0.15 million 25–29, women: 0.13 million 30–34, women: 0.1 million 35–39, women: 0.09 million 40–44, women: 0.08 million 45–49, women: 0.06 million 50–54, women: 0.05 million 55–59, women: 0.04 million 60–64, women: 0.03 million 65–69, women: 0.02 million 70–74, women: 0.02 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.35 million 5–9, men: 0.29 million 10–14, men: 0.25 million 15–19, men: 0.2 million 20–24, men: 0.18 million 25–29, men: 0.16 million 30–34, men: 0.13 million 35–39, men: 0.1 million 40–44, men: 0.09 million 45–49, men: 0.07 million 50–54, men: 0.06 million 55–59, men: 0.04 million 60–64, men: 0.03 million 65–69, men: 0.03 million 70–74, men: 0.02 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.34 million 5–9, women: 0.29 million 10–14, women: 0.24 million 15–19, women: 0.2 million 20–24, women: 0.18 million 25–29, women: 0.16 million 30–34, women: 0.13 million 35–39, women: 0.11 million 40–44, women: 0.09 million 45–49, women: 0.08 million 50–54, women: 0.06 million 55–59, women: 0.05 million 60–64, women: 0.04 million 65–69, women: 0.03 million 70–74, women: 0.02 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.37 million 5–9, men: 0.34 million 10–14, men: 0.29 million 15–19, men: 0.24 million 20–24, men: 0.2 million 25–29, men: 0.18 million 30–34, men: 0.16 million 35–39, men: 0.13 million 40–44, men: 0.1 million 45–49, men: 0.08 million 50–54, men: 0.07 million 55–59, men: 0.05 million 60–64, men: 0.04 million 65–69, men: 0.03 million 70–74, men: 0.02 million 75–79, men: 0.01 million 80–84, men: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.36 million 5–9, women: 0.33 million 10–14, women: 0.28 million 15–19, women: 0.24 million 20–24, women: 0.2 million 25–29, women: 0.18 million 30–34, women: 0.16 million 35–39, women: 0.13 million 40–44, women: 0.11 million 45–49, women: 0.09 million 50–54, women: 0.07 million 55–59, women: 0.06 million 60–64, women: 0.04 million 65–69, women: 0.03 million 70–74, women: 0.02 million 75–79, women: 0.01 million 80–84, women: 0.01 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.38 million 5–9, men: 0.36 million 10–14, men: 0.33 million 15–19, men: 0.28 million 20–24, men: 0.23 million 25–29, men: 0.19 million 30–34, men: 0.17 million 35–39, men: 0.15 million 40–44, men: 0.12 million 45–49, men: 0.09 million 50–54, men: 0.08 million 55–59, men: 0.06 million 60–64, men: 0.05 million 65–69, men: 0.03 million 70–74, men: 0.02 million 75–79, men: 0.01 million 80–84, men: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.37 million 5–9, women: 0.35 million 10–14, women: 0.33 million 15–19, women: 0.28 million 20–24, women: 0.23 million 25–29, women: 0.19 million 30–34, women: 0.17 million 35–39, women: 0.15 million 40–44, women: 0.13 million 45–49, women: 0.1 million 50–54, women: 0.08 million 55–59, women: 0.07 million 60–64, women: 0.05 million 65–69, women: 0.04 million 70–74, women: 0.03 million 75–79, women: 0.02 million 80–84, women: 0.01 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.4 million 5–9, men: 0.37 million 10–14, men: 0.36 million 15–19, men: 0.33 million 20–24, men: 0.28 million 25–29, men: 0.22 million 30–34, men: 0.18 million 35–39, men: 0.16 million 40–44, men: 0.14 million 45–49, men: 0.12 million 50–54, men: 0.09 million 55–59, men: 0.07 million 60–64, men: 0.05 million 65–69, men: 0.04 million 70–74, men: 0.02 million 75–79, men: 0.01 million 80–84, men: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 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men: 0.45 million 10–14, men: 0.43 million 15–19, men: 0.41 million 20–24, men: 0.38 million 25–29, men: 0.35 million 30–34, men: 0.34 million 35–39, men: 0.31 million 40–44, men: 0.25 million 45–49, men: 0.2 million 50–54, men: 0.16 million 55–59, men: 0.13 million 60–64, men: 0.11 million 65–69, men: 0.08 million 70–74, men: 0.05 million 75–79, men: 0.03 million 80–84, men: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.45 million 5–9, women: 0.44 million 10–14, women: 0.42 million 15–19, women: 0.4 million 20–24, women: 0.37 million 25–29, women: 0.35 million 30–34, women: 0.34 million 35–39, women: 0.31 million 40–44, women: 0.25 million 45–49, women: 0.2 million 50–54, women: 0.16 million 55–59, women: 0.14 million 60–64, women: 0.11 million 65–69, women: 0.09 million 70–74, women: 0.06 million 75–79, women: 0.03 million 80–84, women: 0.02 million 85–89, women: 0.01 million 90–94, women: 0 million 95–99, women: 0 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women: 0.04 million 80–84, women: 0.02 million 85–89, women: 0.01 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.47 million 5–9, men: 0.46 million 10–14, men: 0.45 million 15–19, men: 0.44 million 20–24, men: 0.42 million 25–29, men: 0.39 million 30–34, men: 0.36 million 35–39, men: 0.34 million 40–44, men: 0.32 million 45–49, men: 0.29 million 50–54, men: 0.23 million 55–59, men: 0.18 million 60–64, men: 0.13 million 65–69, men: 0.1 million 70–74, men: 0.07 million 75–79, men: 0.04 million 80–84, men: 0.02 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.46 million 5–9, women: 0.45 million 10–14, women: 0.44 million 15–19, women: 0.43 million 20–24, women: 0.41 million 25–29, women: 0.39 million 30–34, women: 0.36 million 35–39, women: 0.34 million 40–44, women: 0.32 million 45–49, women: 0.29 million 50–54, women: 0.24 million 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Women 0–4, men: 0.45 million 5–9, men: 0.45 million 10–14, men: 0.46 million 15–19, men: 0.46 million 20–24, men: 0.45 million 25–29, men: 0.45 million 30–34, men: 0.44 million 35–39, men: 0.43 million 40–44, men: 0.43 million 45–49, men: 0.41 million 50–54, men: 0.39 million 55–59, men: 0.35 million 60–64, men: 0.3 million 65–69, men: 0.25 million 70–74, men: 0.19 million 75–79, men: 0.13 million 80–84, men: 0.07 million 85–89, men: 0.03 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.44 million 5–9, women: 0.44 million 10–14, women: 0.45 million 15–19, women: 0.45 million 20–24, women: 0.45 million 25–29, women: 0.44 million 30–34, women: 0.44 million 35–39, women: 0.44 million 40–44, women: 0.43 million 45–49, women: 0.42 million 50–54, women: 0.39 million 55–59, women: 0.36 million 60–64, women: 0.33 million 65–69, women: 0.27 million 70–74, women: 0.22 million 75–79, women: 0.16 million 80–84, women: 0.09 million 85–89, women: 0.03 million 90–94, women: 0.01 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.44 million 5–9, men: 0.44 million 10–14, men: 0.45 million 15–19, men: 0.46 million 20–24, men: 0.45 million 25–29, men: 0.44 million 30–34, men: 0.44 million 35–39, men: 0.43 million 40–44, men: 0.43 million 45–49, men: 0.42 million 50–54, men: 0.4 million 55–59, men: 0.36 million 60–64, men: 0.32 million 65–69, men: 0.27 million 70–74, men: 0.2 million 75–79, men: 0.14 million 80–84, men: 0.08 million 85–89, men: 0.03 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.43 million 5–9, women: 0.43 million 10–14, women: 0.44 million 15–19, women: 0.45 million 20–24, women: 0.45 million 25–29, women: 0.44 million 30–34, women: 0.44 million 35–39, women: 0.43 million 40–44, women: 0.43 million 45–49, women: 0.42 million 50–54, women: 0.41 million 55–59, women: 0.38 million 60–64, women: 0.34 million 65–69, women: 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45–49, women: 0.42 million 50–54, women: 0.41 million 55–59, women: 0.39 million 60–64, women: 0.36 million 65–69, women: 0.31 million 70–74, women: 0.25 million 75–79, women: 0.18 million 80–84, women: 0.11 million 85–89, women: 0.05 million 90–94, women: 0.01 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Millions of people in each five-year age group, men left and women right. Years after 2023 are UN projections (medium variant). Source: UN World Population Prospects · 1950–2100 · Updated 13 Nov 2026 ·
Births per woman 3.95 2023 · 30th of 237 · UN WPP 2024
Median age 18.4 2023 · 209th of 237 · UN WPP 2024
Aged 65 and over 3.3% 2025, Projection, medium variant · UN WPP 2024
Liberia emitted 859,000 t of CO2 from fossil fuels and cement in 2024.
Liberia’s CO2 emissions, million tonnes, 1990–2024 0 Mt 0.20 Mt 0.40 Mt 0.60 Mt 0.80 Mt 1.0 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 0.86Mt 2024 · 170th of 214 · Global Carbon Budget
CO2 per person 0.2t 2024 · 201st of 213 · Global Carbon Budget
CO2 since 1750 53Mt 2024 · 161st of 214 · Global Carbon Budget
Shown only where a source covers Liberia.
Refugees 1,897 refugees and others in need of protection hosted, 2025
8,842 from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 38 entries on the US, EU and UK lists give it as an address or nationality: US 38
Counts entries (people, companies, ships and aircraft), not how strict the measures are.
Source: US CSL; EU sanctions list; UK Sanctions List · Updated 13 Nov 2026
Chinese loans and grants US$1.08billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents No publicly known incidents affecting Liberia in EuRepoC’s dataset, 2000–2024.
Counts compare documented incidents, not how often a country is targeted.
Source: EuRepoC Global Dataset of Cyber Incidents 1.3.2 (4 Mar 2025), CC BY-NC 4.0 · 2000–2024
47 measures on this site have a recent figure for Liberia.
Measure Value Year Rank Source GDP $5.2 bn 2025 153rd of 186 World Bank GDP per person $915 2025 177th of 186 World Bank Economic growth 5.0% 2025 45th of 186 World Bank Inflation 8.3% 2025 23rd of 169 World Bank Government debt 55% 2025 88th of 191 IMF World Economic Outlook, October 2026 Government budget balance −2.1% 2025 84th of 195 IMF World Economic Outlook, October 2026 Current account balance −7.0% 2025 161st of 194 IMF World Economic Outlook, October 2026 Unemployment 2.9% 2025 146th of 181 World Bank Reserves, including gold $368 m 2024 155th of 164 World Bank Foreign investment in $500 m 2025 120th of 200 World Bank Remittances received 21.3% 2024 11th of 162 World Bank Population 5.7 m 2025 116th of 216 World Bank Population with UN projections 5.5 m 2023 120th of 237 UN WPP 2024 Births per woman 3.95 2023 30th of 237 UN WPP 2024 Median age 18.4 2023 209th of 237 UN WPP 2024 Life expectancy 62.2 2023 222nd of 237 UN WPP 2024 Refugees from the country 8,842 2025 85th of 206 UNHCR Refugees and others needing protection, by host 1,897 2025 134th of 176 UNHCR Refugees hosted per 1,000 people 0.3 2025 133rd of 176 UNHCR Crude oil production 0 kb/d 2025 100th of 214 EIA Oil consumption 5 kb/d 2024 180th of 212 EIA Natural gas production 2024 97th of 213 EIA Natural gas consumption 0.0 bcm 2024 126th of 213 EIA Electricity generated 1 TWh 2024 168th of 193 Ember Low-carbon electricity 54% 2024 72nd of 193 Ember Electricity from coal 0% 2024 82nd of 193 Ember Electricity from wind and solar 1.8% 2024 136th of 193 Ember Wheat imports 0.0 Mt 2024 135th of 180 FAOSTAT Maize imports 0.0 Mt 2024 131st of 196 FAOSTAT Rice production 0.2 Mt 2024 57th of 135 FAOSTAT Rice imports 0.3 Mt 2024 45th of 197 FAOSTAT Soybean production 0.0 Mt 2024 77th of 108 FAOSTAT Soybean imports 0.0 Mt 2024 162nd of 179 FAOSTAT Potash fertiliser use 0.00 Mt 2024 143rd of 199 FAOSTAT Phosphate fertiliser use 0.00 Mt 2024 146th of 199 FAOSTAT CO2 emissions 0.86 Mt 2024 170th of 214 Global Carbon Budget CO2 per person 0.2 t 2024 201st of 213 Global Carbon Budget CO2 emitted since 1750 53 Mt 2024 161st of 214 Global Carbon Budget Water stress 0.0 2023 154th of 164 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water from abroad 14% 2023 77th of 193 FAO AQUASTAT Military spending, share of GDP 0.9% 2025 120th of 150 World Bank Military spending $44 m 2025 138th of 150 World Bank Deaths in organised violence 1 2024 60th of 62 UCDP Arms imports 15 TIV m 2023 85th of 125 SIPRI People using the internet 32% 2024 162nd of 182 World Bank Sanctions list entries (US, EU, UK) 38 2026 70th of 181 US CSL Chinese loans and grants committed $37 m 2021 62nd of 122 AidData, Global Chinese Development Finance Dataset 3.0
Sources for this page World Bank Indicators GDP, GDP per person, Economic growth, Inflation, Unemployment, Reserves, … IMF World Economic Outlook, October 2026 Debt, Budget balance, Current account UN World Population Prospects Population (UN), Births per woman, Median age, Life expectancy UNHCR Refugee Data Finder Refugees from, Refugees hosted, Refugees per 1,000 U.S. Energy Information Administration Oil output, Oil use, Gas output, Gas use, Dependencies at a glance Ember electricity data Electricity, Low-carbon electricity, Electricity from coal, Electricity from wind and solar FAOSTAT Wheat imports, Maize imports, Rice production, Rice imports, Soybean production, Soybean imports, … Our World in Data CO2 CO2 emissions, CO2 per person, CO2 since 1750 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water stress FAO AQUASTAT Water from abroad UCDP Georeferenced Event Dataset Conflict deaths SIPRI Arms Transfers Database Arms imports, Dependencies at a glance US Consolidated Screening List Sanctions list entries, Sanctions AidData Chinese development finance Chinese loans and grants UN Comtrade Dependencies at a glance EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents