1 Dependencies at a glance Mauritania 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 mostImports all of the oil it usesEIA, use 2024 · UN Comtrade, imports 2025, Senegal → Mauritania as reported by the exporter Senegal , Spain Natural gas – Uses no gas, by this source PreliminaryEIA, 2024 No partner data from the source Wheat – Not reported by this source – Maize – Not reported by this source – Rice Low net tradeImports 11% of the rice it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 Thailand , India , Japan Soybeans – Not reported by this source – Potash Imports mostImports all of its potash supply EstimateFAOSTAT, supply 2024 · UN Comtrade, imports 2025 Morocco , Senegal Phosphate Imports mostImports all of its phosphate supply EstimateFAOSTAT, supply 2024 · UN Comtrade, imports 2025 United Arab Emirates , Morocco , China Arms – Supplier concentration only Main supplier: China, 93% of importsSIPRI, 2021–2025 China , France , United Arab Emirates Chips – Supplier concentration only Main supplier: United States, 30% of importsUN Comtrade, 2025 United States , Belgium , Finland
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 most Imports all of the oil it uses
Main partners: Senegal, Spain
EIA, use 2024 · UN Comtrade, imports 2025, Senegal → Mauritania as reported by the exporter
Natural gas Uses no gas, by this source Preliminary
Main partners: No partner data from the source
EIA, 2024
Wheat Not reported by this source
Maize Not reported by this source
Rice Low net trade Imports 11% of the rice it uses
Main partners: Thailand, India, Japan
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Soybeans Not reported by this source
Potash Imports most Imports all of its potash supply Estimate
Main partners: Morocco, Senegal
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
Phosphate Imports most Imports all of its phosphate supply Estimate
Main partners: United Arab Emirates, Morocco, China
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
ArmsSupplier concentration only Main supplier: China, 93% of imports
Main partners: China, France, United Arab Emirates
SIPRI, 2021–2025
ChipsSupplier concentration only Main supplier: United States, 30% of imports
Main partners: United States, Belgium, Finland
UN Comtrade, 2025
Mauritania’s economy produced $12 bn in 2025.
GDP, 2000–2025 $0 $2.5 bn $5.0 bn $7.5 bn $10 bn $13 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 4.0% 2025 · 70th of 186 · World Bank
Inflation 1.5% 2025 · 121st of 169 · World Bank
Unemployment 10.3% 2025 · 35th of 181 · World Bank
Trade 94% of GDP 2024 · 70th of 172 · World Bank
Foreign investment in US$634million 2025 · 115th of 200 · World Bank
Mauritania had 5.3 m people in 2025.
Population, 1950–2100 0 5.0 m 10 m 15 m 20 m 25 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 · Projection
Mauritania’s population by age Men Women 0–4, men: 0.06 million 5–9, men: 0.05 million 10–14, men: 0.04 million 15–19, men: 0.03 million 20–24, men: 0.03 million 25–29, men: 0.03 million 30–34, men: 0.02 million 35–39, men: 0.02 million 40–44, men: 0.02 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0 million 65–69, men: 0 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: 0.06 million 5–9, women: 0.05 million 10–14, women: 0.04 million 15–19, women: 0.04 million 20–24, women: 0.03 million 25–29, women: 0.03 million 30–34, women: 0.02 million 35–39, women: 0.02 million 40–44, women: 0.02 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0 million 65–69, women: 0 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 1m 0 1m Men Women 0–4, men: 0.06 million 5–9, men: 0.05 million 10–14, men: 0.04 million 15–19, men: 0.04 million 20–24, men: 0.03 million 25–29, men: 0.03 million 30–34, men: 0.02 million 35–39, men: 0.02 million 40–44, men: 0.02 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0 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: 0.06 million 5–9, women: 0.05 million 10–14, women: 0.05 million 15–19, women: 0.04 million 20–24, women: 0.03 million 25–29, women: 0.03 million 30–34, women: 0.02 million 35–39, women: 0.02 million 40–44, women: 0.02 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0 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 1m 0 1m Men Women 0–4, men: 0.07 million 5–9, men: 0.05 million 10–14, men: 0.05 million 15–19, men: 0.04 million 20–24, men: 0.04 million 25–29, men: 0.03 million 30–34, men: 0.03 million 35–39, men: 0.02 million 40–44, men: 0.02 million 45–49, men: 0.02 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0 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: 0.05 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 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 1m 0 1m Men Women 0–4, men: 0.09 million 5–9, men: 0.06 million 10–14, men: 0.05 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: 0.01 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: 0.05 million 15–19, women: 0.05 million 20–24, women: 0.04 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: 0.02 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 1m 0 1m Men Women 0–4, men: 0.1 million 5–9, men: 0.08 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: 0.03 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: 0.1 million 5–9, women: 0.08 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: 0.04 million 35–39, women: 0.03 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 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 1m 0 1m Men Women 0–4, men: 0.12 million 5–9, men: 0.1 million 10–14, men: 0.08 million 15–19, men: 0.06 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: 0.02 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: 0.12 million 5–9, women: 0.1 million 10–14, women: 0.08 million 15–19, women: 0.06 million 20–24, women: 0.05 million 25–29, women: 0.05 million 30–34, women: 0.04 million 35–39, women: 0.03 million 40–44, women: 0.03 million 45–49, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.13 million 5–9, men: 0.11 million 10–14, men: 0.09 million 15–19, men: 0.08 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: 0.13 million 5–9, women: 0.11 million 10–14, women: 0.09 million 15–19, women: 0.08 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: 0.03 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 1m 0 1m Men Women 0–4, men: 0.15 million 5–9, men: 0.13 million 10–14, men: 0.11 million 15–19, men: 0.09 million 20–24, men: 0.07 million 25–29, men: 0.06 million 30–34, men: 0.04 million 35–39, men: 0.04 million 40–44, men: 0.04 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: 0.15 million 5–9, women: 0.13 million 10–14, women: 0.11 million 15–19, women: 0.09 million 20–24, women: 0.07 million 25–29, women: 0.06 million 30–34, women: 0.04 million 35–39, women: 0.04 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: 0.02 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 1m 0 1m Men Women 0–4, men: 0.17 million 5–9, men: 0.15 million 10–14, men: 0.13 million 15–19, men: 0.11 million 20–24, men: 0.09 million 25–29, men: 0.07 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: 0.17 million 5–9, women: 0.15 million 10–14, women: 0.12 million 15–19, women: 0.11 million 20–24, women: 0.09 million 25–29, women: 0.07 million 30–34, women: 0.05 million 35–39, women: 0.04 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: 0.01 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 1m 0 1m Men Women 0–4, men: 0.2 million 5–9, men: 0.17 million 10–14, men: 0.15 million 15–19, men: 0.13 million 20–24, men: 0.11 million 25–29, men: 0.09 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: 0.2 million 5–9, women: 0.17 million 10–14, women: 0.14 million 15–19, women: 0.12 million 20–24, women: 0.11 million 25–29, women: 0.09 million 30–34, women: 0.07 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: 0.03 million 60–64, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.22 million 5–9, men: 0.2 million 10–14, men: 0.17 million 15–19, men: 0.14 million 20–24, men: 0.12 million 25–29, men: 0.1 million 30–34, men: 0.08 million 35–39, men: 0.07 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: 0.02 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: 0.22 million 5–9, women: 0.19 million 10–14, women: 0.16 million 15–19, women: 0.14 million 20–24, women: 0.12 million 25–29, women: 0.1 million 30–34, women: 0.08 million 35–39, women: 0.07 million 40–44, women: 0.05 million 45–49, women: 0.04 million 50–54, women: 0.04 million 55–59, women: 0.03 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 1m 0 1m Men Women 0–4, men: 0.25 million 5–9, men: 0.22 million 10–14, men: 0.19 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: 0.08 million 40–44, men: 0.06 million 45–49, men: 0.05 million 50–54, men: 0.03 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: 0.24 million 5–9, women: 0.21 million 10–14, women: 0.19 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: 0.06 million 45–49, women: 0.05 million 50–54, women: 0.04 million 55–59, women: 0.03 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 1m 0 1m Men Women 0–4, men: 0.3 million 5–9, men: 0.24 million 10–14, men: 0.21 million 15–19, men: 0.18 million 20–24, men: 0.15 million 25–29, men: 0.12 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: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.03 million 65–69, men: 0.02 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: 0.29 million 5–9, women: 0.24 million 10–14, women: 0.21 million 15–19, women: 0.19 million 20–24, women: 0.16 million 25–29, women: 0.13 million 30–34, women: 0.11 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: 0.01 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 1m 0 1m Men Women 0–4, men: 0.35 million 5–9, men: 0.29 million 10–14, men: 0.24 million 15–19, men: 0.2 million 20–24, men: 0.17 million 25–29, men: 0.14 million 30–34, men: 0.11 million 35–39, men: 0.09 million 40–44, men: 0.08 million 45–49, men: 0.07 million 50–54, men: 0.05 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: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.34 million 5–9, women: 0.29 million 10–14, women: 0.25 million 15–19, women: 0.21 million 20–24, women: 0.18 million 25–29, women: 0.15 million 30–34, women: 0.13 million 35–39, women: 0.11 million 40–44, women: 0.09 million 45–49, women: 0.07 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: 0.01 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 1m 0 1m Men Women 0–4, men: 0.38 million 5–9, men: 0.34 million 10–14, men: 0.29 million 15–19, men: 0.24 million 20–24, men: 0.19 million 25–29, men: 0.16 million 30–34, men: 0.14 million 35–39, men: 0.11 million 40–44, men: 0.09 million 45–49, men: 0.08 million 50–54, men: 0.06 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: 0.37 million 5–9, women: 0.33 million 10–14, women: 0.29 million 15–19, women: 0.24 million 20–24, women: 0.21 million 25–29, women: 0.18 million 30–34, women: 0.15 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 1m 0 1m Men Women 0–4, men: 0.42 million 5–9, men: 0.38 million 10–14, men: 0.34 million 15–19, men: 0.29 million 20–24, men: 0.23 million 25–29, men: 0.19 million 30–34, men: 0.16 million 35–39, men: 0.13 million 40–44, men: 0.11 million 45–49, men: 0.09 million 50–54, men: 0.07 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: 0.41 million 5–9, women: 0.37 million 10–14, women: 0.33 million 15–19, women: 0.29 million 20–24, women: 0.24 million 25–29, women: 0.21 million 30–34, women: 0.18 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 1m 0 1m Men Women 0–4, men: 0.46 million 5–9, men: 0.42 million 10–14, men: 0.38 million 15–19, men: 0.34 million 20–24, men: 0.29 million 25–29, men: 0.23 million 30–34, men: 0.19 million 35–39, men: 0.16 million 40–44, men: 0.13 million 45–49, men: 0.11 million 50–54, men: 0.08 million 55–59, men: 0.07 million 60–64, men: 0.05 million 65–69, men: 0.04 million 70–74, men: 0.03 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: 0.44 million 5–9, women: 0.41 million 10–14, women: 0.37 million 15–19, women: 0.33 million 20–24, women: 0.28 million 25–29, women: 0.24 million 30–34, women: 0.2 million 35–39, women: 0.17 million 40–44, women: 0.15 million 45–49, women: 0.12 million 50–54, women: 0.1 million 55–59, women: 0.08 million 60–64, women: 0.06 million 65–69, women: 0.05 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 1m 0 1m Men Women 0–4, men: 0.49 million 5–9, men: 0.45 million 10–14, men: 0.41 million 15–19, men: 0.37 million 20–24, men: 0.33 million 25–29, men: 0.28 million 30–34, men: 0.23 million 35–39, men: 0.19 million 40–44, men: 0.16 million 45–49, men: 0.13 million 50–54, men: 0.1 million 55–59, men: 0.08 million 60–64, men: 0.06 million 65–69, men: 0.05 million 70–74, men: 0.03 million 75–79, men: 0.02 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: 0.48 million 5–9, women: 0.44 million 10–14, women: 0.4 million 15–19, women: 0.37 million 20–24, women: 0.33 million 25–29, women: 0.28 million 30–34, women: 0.24 million 35–39, women: 0.2 million 40–44, women: 0.17 million 45–49, women: 0.14 million 50–54, women: 0.12 million 55–59, women: 0.1 million 60–64, women: 0.08 million 65–69, women: 0.06 million 70–74, women: 0.04 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 1m 0 1m Men Women 0–4, men: 0.52 million 5–9, men: 0.48 million 10–14, men: 0.45 million 15–19, men: 0.41 million 20–24, men: 0.37 million 25–29, men: 0.32 million 30–34, men: 0.27 million 35–39, men: 0.22 million 40–44, men: 0.18 million 45–49, men: 0.15 million 50–54, men: 0.12 million 55–59, men: 0.1 million 60–64, men: 0.07 million 65–69, men: 0.05 million 70–74, men: 0.04 million 75–79, men: 0.02 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: 0.5 million 5–9, women: 0.47 million 10–14, women: 0.44 million 15–19, women: 0.4 million 20–24, women: 0.36 million 25–29, women: 0.32 million 30–34, women: 0.28 million 35–39, women: 0.23 million 40–44, women: 0.2 million 45–49, women: 0.17 million 50–54, women: 0.14 million 55–59, women: 0.11 million 60–64, women: 0.09 million 65–69, women: 0.07 million 70–74, women: 0.05 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 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.54 million 5–9, men: 0.51 million 10–14, men: 0.48 million 15–19, men: 0.45 million 20–24, men: 0.4 million 25–29, men: 0.36 million 30–34, men: 0.32 million 35–39, men: 0.27 million 40–44, men: 0.22 million 45–49, men: 0.18 million 50–54, men: 0.15 million 55–59, men: 0.12 million 60–64, men: 0.09 million 65–69, men: 0.06 million 70–74, men: 0.04 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: 0.53 million 5–9, women: 0.5 million 10–14, women: 0.47 million 15–19, women: 0.44 million 20–24, women: 0.4 million 25–29, women: 0.35 million 30–34, women: 0.32 million 35–39, women: 0.27 million 40–44, women: 0.23 million 45–49, women: 0.19 million 50–54, women: 0.16 million 55–59, women: 0.14 million 60–64, women: 0.11 million 65–69, women: 0.08 million 70–74, women: 0.06 million 75–79, 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 1m 0 1m Men Women 0–4, men: 0.56 million 5–9, men: 0.54 million 10–14, men: 0.51 million 15–19, men: 0.48 million 20–24, men: 0.44 million 25–29, men: 0.39 million 30–34, men: 0.35 million 35–39, men: 0.32 million 40–44, men: 0.27 million 45–49, men: 0.21 million 50–54, men: 0.17 million 55–59, men: 0.14 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: 0.02 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.55 million 5–9, women: 0.52 million 10–14, women: 0.5 million 15–19, women: 0.47 million 20–24, women: 0.43 million 25–29, women: 0.39 million 30–34, women: 0.35 million 35–39, women: 0.31 million 40–44, women: 0.27 million 45–49, women: 0.22 million 50–54, women: 0.19 million 55–59, women: 0.16 million 60–64, women: 0.13 million 65–69, women: 0.1 million 70–74, women: 0.07 million 75–79, women: 0.05 million 80–84, women: 0.03 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 1m 0 1m Men Women 0–4, men: 0.58 million 5–9, men: 0.56 million 10–14, men: 0.53 million 15–19, men: 0.5 million 20–24, men: 0.47 million 25–29, men: 0.43 million 30–34, men: 0.39 million 35–39, men: 0.35 million 40–44, men: 0.31 million 45–49, men: 0.26 million 50–54, men: 0.21 million 55–59, men: 0.16 million 60–64, men: 0.13 million 65–69, men: 0.09 million 70–74, men: 0.06 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: 0.57 million 5–9, women: 0.55 million 10–14, women: 0.52 million 15–19, women: 0.49 million 20–24, women: 0.46 million 25–29, women: 0.42 million 30–34, women: 0.38 million 35–39, women: 0.35 million 40–44, women: 0.31 million 45–49, women: 0.26 million 50–54, women: 0.22 million 55–59, women: 0.18 million 60–64, women: 0.15 million 65–69, women: 0.12 million 70–74, women: 0.09 million 75–79, women: 0.06 million 80–84, women: 0.03 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 1m 0 1m Men Women 0–4, men: 0.6 million 5–9, men: 0.58 million 10–14, men: 0.56 million 15–19, men: 0.53 million 20–24, men: 0.5 million 25–29, men: 0.46 million 30–34, men: 0.42 million 35–39, men: 0.38 million 40–44, men: 0.34 million 45–49, men: 0.3 million 50–54, men: 0.25 million 55–59, men: 0.2 million 60–64, men: 0.15 million 65–69, men: 0.11 million 70–74, men: 0.08 million 75–79, men: 0.05 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: 0.58 million 5–9, women: 0.56 million 10–14, women: 0.54 million 15–19, women: 0.52 million 20–24, women: 0.49 million 25–29, women: 0.45 million 30–34, women: 0.42 million 35–39, women: 0.38 million 40–44, women: 0.34 million 45–49, women: 0.3 million 50–54, women: 0.26 million 55–59, women: 0.21 million 60–64, women: 0.18 million 65–69, women: 0.14 million 70–74, women: 0.11 million 75–79, women: 0.07 million 80–84, women: 0.04 million 85–89, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.61 million 5–9, men: 0.59 million 10–14, men: 0.58 million 15–19, men: 0.55 million 20–24, men: 0.52 million 25–29, men: 0.49 million 30–34, men: 0.45 million 35–39, men: 0.42 million 40–44, men: 0.38 million 45–49, men: 0.34 million 50–54, men: 0.3 million 55–59, men: 0.24 million 60–64, men: 0.18 million 65–69, men: 0.14 million 70–74, men: 0.1 million 75–79, men: 0.06 million 80–84, men: 0.03 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.59 million 5–9, women: 0.58 million 10–14, women: 0.56 million 15–19, women: 0.54 million 20–24, women: 0.51 million 25–29, women: 0.48 million 30–34, women: 0.45 million 35–39, women: 0.41 million 40–44, women: 0.38 million 45–49, women: 0.34 million 50–54, women: 0.3 million 55–59, women: 0.25 million 60–64, women: 0.21 million 65–69, women: 0.17 million 70–74, women: 0.13 million 75–79, women: 0.09 million 80–84, women: 0.05 million 85–89, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.62 million 5–9, men: 0.6 million 10–14, men: 0.59 million 15–19, men: 0.57 million 20–24, men: 0.54 million 25–29, men: 0.51 million 30–34, men: 0.48 million 35–39, men: 0.45 million 40–44, men: 0.41 million 45–49, men: 0.37 million 50–54, men: 0.33 million 55–59, men: 0.29 million 60–64, men: 0.23 million 65–69, men: 0.17 million 70–74, men: 0.12 million 75–79, men: 0.07 million 80–84, men: 0.04 million 85–89, men: 0.02 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.6 million 5–9, women: 0.59 million 10–14, women: 0.58 million 15–19, women: 0.56 million 20–24, women: 0.53 million 25–29, women: 0.51 million 30–34, women: 0.48 million 35–39, women: 0.45 million 40–44, women: 0.41 million 45–49, women: 0.37 million 50–54, women: 0.33 million 55–59, women: 0.29 million 60–64, women: 0.24 million 65–69, women: 0.19 million 70–74, women: 0.15 million 75–79, women: 0.11 million 80–84, women: 0.06 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 1m 0 1m Men Women 0–4, men: 0.63 million 5–9, men: 0.61 million 10–14, men: 0.6 million 15–19, men: 0.59 million 20–24, men: 0.56 million 25–29, men: 0.53 million 30–34, men: 0.51 million 35–39, men: 0.48 million 40–44, men: 0.44 million 45–49, men: 0.41 million 50–54, men: 0.36 million 55–59, men: 0.32 million 60–64, men: 0.27 million 65–69, men: 0.21 million 70–74, men: 0.14 million 75–79, men: 0.09 million 80–84, men: 0.05 million 85–89, men: 0.02 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.61 million 5–9, women: 0.6 million 10–14, women: 0.59 million 15–19, women: 0.57 million 20–24, women: 0.55 million 25–29, women: 0.53 million 30–34, women: 0.5 million 35–39, women: 0.47 million 40–44, women: 0.44 million 45–49, women: 0.41 million 50–54, women: 0.37 million 55–59, women: 0.33 million 60–64, women: 0.28 million 65–69, women: 0.23 million 70–74, women: 0.18 million 75–79, women: 0.13 million 80–84, women: 0.08 million 85–89, women: 0.04 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 1m 0 1m Men Women 0–4, men: 0.63 million 5–9, men: 0.62 million 10–14, men: 0.61 million 15–19, men: 0.6 million 20–24, men: 0.58 million 25–29, men: 0.55 million 30–34, men: 0.53 million 35–39, men: 0.5 million 40–44, men: 0.47 million 45–49, men: 0.44 million 50–54, men: 0.4 million 55–59, men: 0.35 million 60–64, men: 0.3 million 65–69, men: 0.25 million 70–74, men: 0.18 million 75–79, men: 0.12 million 80–84, men: 0.06 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: 0.61 million 5–9, women: 0.61 million 10–14, women: 0.6 million 15–19, women: 0.58 million 20–24, women: 0.56 million 25–29, women: 0.54 million 30–34, women: 0.52 million 35–39, women: 0.5 million 40–44, women: 0.47 million 45–49, women: 0.44 million 50–54, women: 0.4 million 55–59, women: 0.36 million 60–64, women: 0.32 million 65–69, women: 0.27 million 70–74, women: 0.21 million 75–79, women: 0.15 million 80–84, women: 0.1 million 85–89, women: 0.05 million 90–94, women: 0.02 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.63 million 5–9, men: 0.62 million 10–14, men: 0.62 million 15–19, men: 0.61 million 20–24, men: 0.59 million 25–29, men: 0.57 million 30–34, men: 0.55 million 35–39, men: 0.52 million 40–44, men: 0.5 million 45–49, men: 0.46 million 50–54, men: 0.43 million 55–59, men: 0.39 million 60–64, men: 0.34 million 65–69, men: 0.28 million 70–74, men: 0.22 million 75–79, men: 0.15 million 80–84, men: 0.08 million 85–89, men: 0.04 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.61 million 5–9, women: 0.61 million 10–14, women: 0.6 million 15–19, women: 0.59 million 20–24, women: 0.58 million 25–29, women: 0.56 million 30–34, women: 0.54 million 35–39, women: 0.52 million 40–44, women: 0.49 million 45–49, women: 0.46 million 50–54, women: 0.43 million 55–59, women: 0.39 million 60–64, women: 0.35 million 65–69, women: 0.3 million 70–74, women: 0.25 million 75–79, women: 0.18 million 80–84, women: 0.12 million 85–89, women: 0.06 million 90–94, women: 0.02 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.63 million 5–9, men: 0.62 million 10–14, men: 0.62 million 15–19, men: 0.62 million 20–24, men: 0.6 million 25–29, men: 0.58 million 30–34, men: 0.56 million 35–39, men: 0.54 million 40–44, men: 0.52 million 45–49, men: 0.49 million 50–54, men: 0.46 million 55–59, men: 0.42 million 60–64, men: 0.37 million 65–69, men: 0.31 million 70–74, men: 0.25 million 75–79, men: 0.18 million 80–84, men: 0.11 million 85–89, men: 0.05 million 90–94, men: 0.02 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.61 million 5–9, women: 0.61 million 10–14, women: 0.6 million 15–19, women: 0.6 million 20–24, women: 0.58 million 25–29, women: 0.57 million 30–34, women: 0.55 million 35–39, women: 0.53 million 40–44, women: 0.51 million 45–49, women: 0.49 million 50–54, women: 0.46 million 55–59, women: 0.42 million 60–64, women: 0.38 million 65–69, women: 0.33 million 70–74, women: 0.28 million 75–79, women: 0.22 million 80–84, women: 0.15 million 85–89, women: 0.08 million 90–94, women: 0.03 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.62 million 5–9, men: 0.62 million 10–14, men: 0.62 million 15–19, men: 0.62 million 20–24, men: 0.6 million 25–29, men: 0.59 million 30–34, men: 0.57 million 35–39, men: 0.55 million 40–44, men: 0.54 million 45–49, men: 0.51 million 50–54, men: 0.48 million 55–59, men: 0.44 million 60–64, men: 0.4 million 65–69, men: 0.35 million 70–74, men: 0.28 million 75–79, men: 0.21 million 80–84, men: 0.13 million 85–89, men: 0.07 million 90–94, men: 0.02 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.6 million 5–9, women: 0.61 million 10–14, women: 0.6 million 15–19, women: 0.6 million 20–24, women: 0.59 million 25–29, women: 0.58 million 30–34, women: 0.56 million 35–39, women: 0.55 million 40–44, women: 0.53 million 45–49, women: 0.51 million 50–54, women: 0.48 million 55–59, women: 0.45 million 60–64, women: 0.41 million 65–69, women: 0.37 million 70–74, women: 0.31 million 75–79, women: 0.25 million 80–84, women: 0.17 million 85–89, women: 0.1 million 90–94, women: 0.04 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.62 million 5–9, men: 0.62 million 10–14, men: 0.62 million 15–19, men: 0.62 million 20–24, men: 0.61 million 25–29, men: 0.59 million 30–34, men: 0.58 million 35–39, men: 0.57 million 40–44, men: 0.55 million 45–49, men: 0.53 million 50–54, men: 0.5 million 55–59, men: 0.47 million 60–64, men: 0.43 million 65–69, men: 0.38 million 70–74, men: 0.31 million 75–79, men: 0.24 million 80–84, men: 0.16 million 85–89, men: 0.08 million 90–94, men: 0.03 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.6 million 5–9, women: 0.6 million 10–14, women: 0.6 million 15–19, women: 0.6 million 20–24, women: 0.59 million 25–29, women: 0.58 million 30–34, women: 0.57 million 35–39, women: 0.56 million 40–44, women: 0.54 million 45–49, women: 0.53 million 50–54, women: 0.5 million 55–59, women: 0.47 million 60–64, women: 0.44 million 65–69, women: 0.4 million 70–74, women: 0.34 million 75–79, women: 0.28 million 80–84, women: 0.2 million 85–89, women: 0.12 million 90–94, women: 0.05 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m 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 · Projection
Births per woman 4.70 2023 · 11th of 237 · UN WPP 2024
Median age 17.1 2023 · 225th of 237 · UN WPP 2024
Aged 65 and over 3.2% 2025, Projection, medium variant · UN WPP 2024
Mauritania emitted 5.2 Mt of CO2 from fossil fuels and cement in 2024.
Mauritania’s CO2 emissions, million tonnes, 1990–2024 0 Mt 2 Mt 4 Mt 6 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 5Mt 2024 · 137th of 214 · Global Carbon Budget
CO2 per person 1.0t 2024 · 160th of 213 · Global Carbon Budget
CO2 since 1750 100Mt 2024 · 147th of 214 · Global Carbon Budget
Shown only where a source covers Mauritania.
Refugees 308,868 refugees and others in need of protection hosted, 2025
72,344 from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 9 entries on the US, EU and UK lists give it as an address or nationality: US 4, EU 3 and UK 2
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$1.59billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents No publicly known incidents affecting Mauritania 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
50 measures on this site have a recent figure for Mauritania.
Measure Value Year Rank Source GDP $12 bn 2025 147th of 186 World Bank GDP per person $2,198 2025 151st of 186 World Bank Economic growth 4.0% 2025 70th of 186 World Bank Inflation 1.5% 2025 121st of 169 World Bank Government debt 40% 2025 129th of 191 IMF World Economic Outlook, October 2026 Government budget balance −0.3% 2025 46th of 195 IMF World Economic Outlook, October 2026 Current account balance −5.8% 2025 149th of 194 IMF World Economic Outlook, October 2026 Unemployment 10.3% 2025 35th of 181 World Bank Trade 94% 2024 70th of 172 World Bank Foreign investment in $634 m 2025 115th of 200 World Bank Remittances received 0.9% 2024 110th of 162 World Bank Population 5.3 m 2025 125th of 216 World Bank Population with UN projections 5.0 m 2023 127th of 237 UN WPP 2024 Births per woman 4.70 2023 11th of 237 UN WPP 2024 Median age 17.1 2023 225th of 237 UN WPP 2024 Life expectancy 68.5 2023 183rd of 237 UN WPP 2024 Refugees from the country 72,344 2025 44th of 206 UNHCR Refugees and others needing protection, by host 308,868 2025 35th of 176 UNHCR Refugees hosted per 1,000 people 58.1 2025 6th of 176 UNHCR Crude oil production 0 kb/d 2025 100th of 214 EIA Oil consumption 31 kb/d 2024 127th of 212 EIA Natural gas production Preliminary2024 97th of 213 EIA Natural gas consumption 0.0 bcm 2024 126th of 213 EIA Electricity generated 2 TWh 2024 142nd of 193 Ember Low-carbon electricity 23% 2024 121st of 193 Ember Electricity from coal 0% 2024 82nd of 193 Ember Electricity from wind and solar 13% 2024 61st of 193 Ember Wheat production 0.0 Mt 2024 106th of 123 FAOSTAT Wheat imports 0.9 Mt 2024 48th of 180 FAOSTAT Maize production 0.0 Mt 2024 126th of 169 FAOSTAT Maize imports 0.0 Mt 2024 115th of 196 FAOSTAT Rice production 0.3 Mt 2024 52nd of 135 FAOSTAT Rice imports 0.0 Mt 2024 113th of 197 FAOSTAT Soybean imports 0.0 Mt 2023 98th of 181 FAOSTAT Potash fertiliser use 0.00 Mt 2024 142nd of 199 FAOSTAT Phosphate fertiliser use 0.00 Mt 2024 145th of 199 FAOSTAT CO2 emissions 5 Mt 2024 137th of 214 Global Carbon Budget CO2 per person 1.0 t 2024 160th of 213 Global Carbon Budget CO2 emitted since 1750 100 Mt 2024 147th of 214 Global Carbon Budget Water stress 2.7 2023 53rd of 164 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water from abroad 96% 2023 5th of 193 FAO AQUASTAT Military spending, share of GDP 2.7% 2025 33rd of 150 World Bank Military spending $322 m 2025 110th of 150 World Bank Deaths in organised violence 3 2024 52nd of 62 UCDP Arms imports 127 TIV m 2024 44th of 117 SIPRI People using the internet 46% 2024 150th of 182 World Bank ICT service exports $3 m 2024 150th of 162 World Bank ICT service exports, share of service exports 1.2% 2024 138th of 162 World Bank Sanctions list entries (US, EU, UK) 9 2026 114th of 181 US CSL Chinese loans and grants committed $43 m 2021 58th 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, Trade, … 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 production, Wheat imports, Maize production, Maize imports, Rice production, Rice 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