1 Dependencies at a glance Niger imports all of its potash supply; it exports oil.
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 Exports 35% of what it producesEIA, use 2024 · UN Comtrade, exports 2025 Italy , Netherlands , China (buyers)Natural gas Imports 0% of the gas it uses EIA, use 2024 · UN Comtrade, imports 2025 United States , Nigeria Wheat Imports 66% of the wheat it usesFAOSTAT, use 2015 · FAOSTAT, imports 2023 Nigeria Maize Imports 32% of the maize it usesFAOSTAT, 2023 Burkina Faso , Côte d'Ivoire Rice Imports 86% of the rice it usesFAOSTAT, 2023 India , Thailand , China Soybeans – Not reported by this source – Potash Imports all of its potash supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 No partner data from the source Phosphate Imports all of its phosphate supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 Morocco , Nigeria Arms – Supplier concentration only Main supplier: Türkiye, 42% of importsSIPRI, 2021–2025 Türkiye , United States , Italy Chips – Supplier concentration only Main supplier: China, 51% of importsUN Comtrade, 2025 China , Japan , France
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 Exports 35% of what it produces
Main partners: Italy, Netherlands, China (buyers)
EIA, use 2024 · UN Comtrade, exports 2025
Natural gas Imports 0% of the gas it uses
Main partners: United States, Nigeria
EIA, use 2024 · UN Comtrade, imports 2025
Wheat Imports 66% of the wheat it uses
Main partners: Nigeria
FAOSTAT, use 2015 · FAOSTAT, imports 2023
Maize Imports 32% of the maize it uses
Main partners: Burkina Faso, Côte d'Ivoire
FAOSTAT, 2023
Rice Imports 86% of the rice it uses
Main partners: India, Thailand, China
FAOSTAT, 2023
Soybeans Not reported by this source
Potash Imports all of its potash supply
Main partners: No partner data from the source
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
Phosphate Imports all of its phosphate supply
Main partners: Morocco, Nigeria
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
ArmsSupplier concentration only Main supplier: Türkiye, 42% of imports
Main partners: Türkiye, United States, Italy
SIPRI, 2021–2025
ChipsSupplier concentration only Main supplier: China, 51% of imports
Main partners: China, Japan, France
UN Comtrade, 2025
Niger’s economy produced $22 bn in 2025.
GDP, 2000–2025 $0 $5.0 bn $10 bn $15 bn $20 bn $25 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 7.0% 2025 · 17th of 186 · World Bank
Inflation −4.5% 2025 · 168th of 169 · World Bank
Unemployment 0.4% 2025 · 179th of 181 · World Bank
Trade 24% of GDP 2024 · 169th of 172 · World Bank
Foreign investment in US$257million 2025 · 138th of 200 · World Bank
Niger had 28 m people in 2025.
Population, 1950–2100 0 25 m 50 m 75 m 100 m 125 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Niger’s population by age Men Women 0–4, men: 0.26 million 5–9, men: 0.19 million 10–14, men: 0.15 million 15–19, men: 0.13 million 20–24, men: 0.1 million 25–29, men: 0.09 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: 0.02 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: 0.28 million 5–9, women: 0.22 million 10–14, women: 0.18 million 15–19, women: 0.15 million 20–24, women: 0.12 million 25–29, women: 0.1 million 30–34, women: 0.09 million 35–39, women: 0.07 million 40–44, women: 0.06 million 45–49, women: 0.04 million 50–54, women: 0.04 million 55–59, women: 0.02 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 3m 0 3m Men Women 0–4, men: 0.32 million 5–9, men: 0.22 million 10–14, men: 0.18 million 15–19, men: 0.15 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: 0.02 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: 0.32 million 5–9, women: 0.24 million 10–14, women: 0.22 million 15–19, women: 0.18 million 20–24, women: 0.14 million 25–29, women: 0.12 million 30–34, women: 0.1 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: 0.03 million 60–64, women: 0.02 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 3m 0 3m Men Women 0–4, men: 0.37 million 5–9, men: 0.27 million 10–14, men: 0.21 million 15–19, men: 0.18 million 20–24, men: 0.14 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: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.02 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: 0.36 million 5–9, women: 0.26 million 10–14, women: 0.23 million 15–19, women: 0.21 million 20–24, women: 0.17 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: 0.01 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 3m 0 3m Men Women 0–4, men: 0.42 million 5–9, men: 0.31 million 10–14, men: 0.26 million 15–19, men: 0.21 million 20–24, men: 0.17 million 25–29, men: 0.13 million 30–34, men: 0.11 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: 0.03 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: 0.41 million 5–9, women: 0.3 million 10–14, women: 0.25 million 15–19, women: 0.22 million 20–24, women: 0.2 million 25–29, women: 0.16 million 30–34, women: 0.13 million 35–39, women: 0.1 million 40–44, women: 0.08 million 45–49, women: 0.07 million 50–54, women: 0.06 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 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 3m 0 3m Men Women 0–4, men: 0.48 million 5–9, men: 0.36 million 10–14, men: 0.3 million 15–19, men: 0.26 million 20–24, men: 0.2 million 25–29, men: 0.16 million 30–34, men: 0.12 million 35–39, men: 0.1 million 40–44, men: 0.08 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 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: 0.46 million 5–9, women: 0.35 million 10–14, women: 0.29 million 15–19, women: 0.25 million 20–24, women: 0.21 million 25–29, women: 0.19 million 30–34, women: 0.15 million 35–39, women: 0.12 million 40–44, women: 0.09 million 45–49, women: 0.08 million 50–54, women: 0.07 million 55–59, women: 0.05 million 60–64, women: 0.04 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 3m 0 3m Men Women 0–4, men: 0.54 million 5–9, men: 0.4 million 10–14, men: 0.35 million 15–19, men: 0.29 million 20–24, men: 0.24 million 25–29, men: 0.19 million 30–34, men: 0.15 million 35–39, men: 0.12 million 40–44, men: 0.09 million 45–49, men: 0.07 million 50–54, men: 0.06 million 55–59, men: 0.05 million 60–64, men: 0.03 million 65–69, men: 0.02 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: 0.52 million 5–9, women: 0.39 million 10–14, women: 0.33 million 15–19, women: 0.28 million 20–24, women: 0.23 million 25–29, women: 0.2 million 30–34, women: 0.18 million 35–39, women: 0.14 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 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 3m 0 3m Men Women 0–4, men: 0.62 million 5–9, men: 0.45 million 10–14, men: 0.39 million 15–19, men: 0.34 million 20–24, men: 0.28 million 25–29, men: 0.23 million 30–34, men: 0.18 million 35–39, men: 0.14 million 40–44, men: 0.11 million 45–49, men: 0.09 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: 0.01 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: 0.61 million 5–9, women: 0.44 million 10–14, women: 0.37 million 15–19, women: 0.32 million 20–24, women: 0.27 million 25–29, women: 0.22 million 30–34, women: 0.19 million 35–39, women: 0.17 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: 0.02 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 3m 0 3m Men Women 0–4, men: 0.73 million 5–9, men: 0.53 million 10–14, men: 0.44 million 15–19, men: 0.38 million 20–24, men: 0.32 million 25–29, men: 0.27 million 30–34, men: 0.22 million 35–39, men: 0.17 million 40–44, men: 0.13 million 45–49, men: 0.1 million 50–54, men: 0.08 million 55–59, men: 0.06 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 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.71 million 5–9, women: 0.51 million 10–14, women: 0.43 million 15–19, women: 0.36 million 20–24, women: 0.31 million 25–29, women: 0.26 million 30–34, women: 0.21 million 35–39, women: 0.18 million 40–44, women: 0.16 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: 0.04 million 70–74, women: 0.03 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 3m 0 3m Men Women 0–4, men: 0.83 million 5–9, men: 0.62 million 10–14, men: 0.53 million 15–19, men: 0.44 million 20–24, men: 0.37 million 25–29, men: 0.31 million 30–34, men: 0.26 million 35–39, men: 0.21 million 40–44, men: 0.16 million 45–49, men: 0.13 million 50–54, men: 0.1 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 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.8 million 5–9, women: 0.6 million 10–14, women: 0.5 million 15–19, women: 0.42 million 20–24, women: 0.35 million 25–29, women: 0.3 million 30–34, women: 0.25 million 35–39, women: 0.2 million 40–44, women: 0.17 million 45–49, women: 0.15 million 50–54, women: 0.12 million 55–59, women: 0.09 million 60–64, women: 0.07 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 3m 0 3m Men Women 0–4, men: 0.97 million 5–9, men: 0.72 million 10–14, men: 0.61 million 15–19, men: 0.52 million 20–24, men: 0.43 million 25–29, men: 0.36 million 30–34, men: 0.31 million 35–39, men: 0.25 million 40–44, men: 0.2 million 45–49, men: 0.15 million 50–54, men: 0.12 million 55–59, men: 0.09 million 60–64, men: 0.06 million 65–69, men: 0.04 million 70–74, men: 0.03 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: 0.95 million 5–9, women: 0.69 million 10–14, women: 0.59 million 15–19, women: 0.49 million 20–24, women: 0.41 million 25–29, women: 0.34 million 30–34, women: 0.29 million 35–39, women: 0.24 million 40–44, women: 0.2 million 45–49, women: 0.17 million 50–54, women: 0.15 million 55–59, women: 0.11 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 3m 0 3m Men Women 0–4, men: 1.2 million 5–9, men: 0.87 million 10–14, men: 0.71 million 15–19, men: 0.6 million 20–24, men: 0.5 million 25–29, men: 0.41 million 30–34, men: 0.35 million 35–39, men: 0.29 million 40–44, men: 0.24 million 45–49, men: 0.19 million 50–54, men: 0.14 million 55–59, men: 0.11 million 60–64, men: 0.08 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: 1.2 million 5–9, women: 0.84 million 10–14, women: 0.68 million 15–19, women: 0.58 million 20–24, women: 0.48 million 25–29, women: 0.39 million 30–34, women: 0.33 million 35–39, women: 0.28 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: 0.1 million 65–69, women: 0.07 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 3m 0 3m Men Women 0–4, men: 1.4 million 5–9, men: 1.1 million 10–14, men: 0.86 million 15–19, men: 0.7 million 20–24, men: 0.59 million 25–29, men: 0.49 million 30–34, men: 0.4 million 35–39, men: 0.34 million 40–44, men: 0.28 million 45–49, men: 0.23 million 50–54, men: 0.18 million 55–59, men: 0.13 million 60–64, men: 0.1 million 65–69, men: 0.06 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: 1.4 million 5–9, women: 1.1 million 10–14, women: 0.83 million 15–19, women: 0.67 million 20–24, women: 0.56 million 25–29, women: 0.46 million 30–34, women: 0.38 million 35–39, women: 0.32 million 40–44, women: 0.27 million 45–49, women: 0.22 million 50–54, women: 0.18 million 55–59, women: 0.15 million 60–64, women: 0.12 million 65–69, women: 0.09 million 70–74, women: 0.05 million 75–79, women: 0.03 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 3m 0 3m Men Women 0–4, men: 1.7 million 5–9, men: 1.4 million 10–14, men: 1.1 million 15–19, men: 0.85 million 20–24, men: 0.68 million 25–29, men: 0.57 million 30–34, men: 0.47 million 35–39, men: 0.39 million 40–44, men: 0.32 million 45–49, men: 0.27 million 50–54, men: 0.22 million 55–59, men: 0.17 million 60–64, men: 0.12 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: 1.7 million 5–9, women: 1.3 million 10–14, women: 1 million 15–19, women: 0.81 million 20–24, women: 0.65 million 25–29, women: 0.54 million 30–34, women: 0.45 million 35–39, women: 0.37 million 40–44, women: 0.31 million 45–49, women: 0.26 million 50–54, women: 0.21 million 55–59, women: 0.17 million 60–64, women: 0.14 million 65–69, women: 0.11 million 70–74, women: 0.07 million 75–79, women: 0.04 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 3m 0 3m Men Women 0–4, men: 2 million 5–9, men: 1.6 million 10–14, men: 1.3 million 15–19, men: 1.1 million 20–24, men: 0.84 million 25–29, men: 0.67 million 30–34, men: 0.56 million 35–39, men: 0.47 million 40–44, men: 0.38 million 45–49, men: 0.31 million 50–54, men: 0.26 million 55–59, men: 0.2 million 60–64, men: 0.15 million 65–69, men: 0.1 million 70–74, men: 0.06 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: 1.9 million 5–9, women: 1.6 million 10–14, women: 1.3 million 15–19, women: 1 million 20–24, women: 0.8 million 25–29, women: 0.64 million 30–34, women: 0.54 million 35–39, women: 0.44 million 40–44, women: 0.36 million 45–49, women: 0.3 million 50–54, women: 0.25 million 55–59, women: 0.2 million 60–64, women: 0.16 million 65–69, women: 0.12 million 70–74, women: 0.09 million 75–79, women: 0.05 million 80–84, women: 0.02 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 3m 0 3m Men Women 0–4, men: 2.2 million 5–9, men: 1.9 million 10–14, men: 1.6 million 15–19, men: 1.3 million 20–24, men: 1.1 million 25–29, men: 0.83 million 30–34, men: 0.66 million 35–39, men: 0.55 million 40–44, men: 0.45 million 45–49, men: 0.36 million 50–54, men: 0.3 million 55–59, men: 0.24 million 60–64, men: 0.18 million 65–69, men: 0.13 million 70–74, men: 0.08 million 75–79, men: 0.04 million 80–84, men: 0.02 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 2.2 million 5–9, women: 1.9 million 10–14, women: 1.6 million 15–19, women: 1.3 million 20–24, women: 1 million 25–29, women: 0.79 million 30–34, women: 0.63 million 35–39, women: 0.53 million 40–44, women: 0.43 million 45–49, women: 0.35 million 50–54, women: 0.29 million 55–59, women: 0.24 million 60–64, women: 0.19 million 65–69, women: 0.14 million 70–74, women: 0.1 million 75–79, women: 0.06 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 3m 0 3m Men Women 0–4, men: 2.5 million 5–9, men: 2.2 million 10–14, men: 1.9 million 15–19, men: 1.6 million 20–24, men: 1.3 million 25–29, men: 1 million 30–34, men: 0.81 million 35–39, men: 0.65 million 40–44, men: 0.54 million 45–49, men: 0.44 million 50–54, men: 0.35 million 55–59, men: 0.28 million 60–64, men: 0.22 million 65–69, men: 0.16 million 70–74, men: 0.1 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: 2.4 million 5–9, women: 2.1 million 10–14, women: 1.8 million 15–19, women: 1.6 million 20–24, women: 1.3 million 25–29, women: 1 million 30–34, women: 0.78 million 35–39, women: 0.62 million 40–44, women: 0.52 million 45–49, women: 0.42 million 50–54, women: 0.34 million 55–59, women: 0.28 million 60–64, women: 0.22 million 65–69, women: 0.17 million 70–74, women: 0.11 million 75–79, women: 0.07 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 3m 0 3m Men Women 0–4, men: 2.8 million 5–9, men: 2.4 million 10–14, men: 2.1 million 15–19, men: 1.9 million 20–24, men: 1.6 million 25–29, men: 1.3 million 30–34, men: 1 million 35–39, men: 0.8 million 40–44, men: 0.64 million 45–49, men: 0.53 million 50–54, men: 0.42 million 55–59, men: 0.33 million 60–64, men: 0.26 million 65–69, men: 0.19 million 70–74, men: 0.13 million 75–79, men: 0.07 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: 2.7 million 5–9, women: 2.3 million 10–14, women: 2.1 million 15–19, women: 1.8 million 20–24, women: 1.5 million 25–29, women: 1.2 million 30–34, women: 0.99 million 35–39, women: 0.77 million 40–44, women: 0.61 million 45–49, women: 0.5 million 50–54, women: 0.41 million 55–59, women: 0.32 million 60–64, women: 0.26 million 65–69, women: 0.2 million 70–74, women: 0.14 million 75–79, women: 0.08 million 80–84, women: 0.04 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 3m 0 3m Men Women 0–4, men: 2.9 million 5–9, men: 2.7 million 10–14, men: 2.4 million 15–19, men: 2.1 million 20–24, men: 1.9 million 25–29, men: 1.6 million 30–34, men: 1.3 million 35–39, men: 1 million 40–44, men: 0.78 million 45–49, men: 0.62 million 50–54, men: 0.51 million 55–59, men: 0.4 million 60–64, men: 0.3 million 65–69, men: 0.22 million 70–74, men: 0.15 million 75–79, men: 0.09 million 80–84, men: 0.04 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 2.8 million 5–9, women: 2.6 million 10–14, women: 2.3 million 15–19, women: 2.1 million 20–24, women: 1.8 million 25–29, women: 1.5 million 30–34, women: 1.2 million 35–39, women: 0.97 million 40–44, women: 0.75 million 45–49, women: 0.6 million 50–54, women: 0.49 million 55–59, women: 0.39 million 60–64, women: 0.3 million 65–69, women: 0.23 million 70–74, women: 0.16 million 75–79, women: 0.1 million 80–84, women: 0.04 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 3m 0 3m Men Women 0–4, men: 3.1 million 5–9, men: 2.9 million 10–14, men: 2.7 million 15–19, men: 2.4 million 20–24, men: 2.1 million 25–29, men: 1.8 million 30–34, men: 1.5 million 35–39, men: 1.3 million 40–44, men: 0.99 million 45–49, men: 0.76 million 50–54, men: 0.6 million 55–59, men: 0.48 million 60–64, men: 0.36 million 65–69, men: 0.26 million 70–74, men: 0.18 million 75–79, men: 0.1 million 80–84, men: 0.05 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3 million 5–9, women: 2.8 million 10–14, women: 2.6 million 15–19, women: 2.3 million 20–24, women: 2 million 25–29, women: 1.8 million 30–34, women: 1.5 million 35–39, women: 1.2 million 40–44, women: 0.96 million 45–49, women: 0.74 million 50–54, women: 0.58 million 55–59, women: 0.47 million 60–64, women: 0.37 million 65–69, women: 0.27 million 70–74, women: 0.19 million 75–79, women: 0.12 million 80–84, women: 0.06 million 85–89, women: 0.02 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 3m 0 3m Men Women 0–4, men: 3.2 million 5–9, men: 3 million 10–14, men: 2.8 million 15–19, men: 2.6 million 20–24, men: 2.3 million 25–29, men: 2.1 million 30–34, men: 1.8 million 35–39, men: 1.5 million 40–44, men: 1.2 million 45–49, men: 0.97 million 50–54, men: 0.74 million 55–59, men: 0.56 million 60–64, men: 0.44 million 65–69, men: 0.32 million 70–74, men: 0.21 million 75–79, men: 0.12 million 80–84, men: 0.06 million 85–89, men: 0.02 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3.1 million 5–9, women: 2.9 million 10–14, women: 2.8 million 15–19, women: 2.6 million 20–24, women: 2.3 million 25–29, women: 2 million 30–34, women: 1.7 million 35–39, women: 1.5 million 40–44, women: 1.2 million 45–49, women: 0.94 million 50–54, women: 0.72 million 55–59, women: 0.56 million 60–64, women: 0.44 million 65–69, women: 0.33 million 70–74, women: 0.23 million 75–79, women: 0.14 million 80–84, women: 0.07 million 85–89, women: 0.02 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 3m 0 3m Men Women 0–4, men: 3.3 million 5–9, men: 3.1 million 10–14, men: 3 million 15–19, men: 2.8 million 20–24, men: 2.6 million 25–29, men: 2.3 million 30–34, men: 2 million 35–39, men: 1.8 million 40–44, men: 1.5 million 45–49, men: 1.2 million 50–54, men: 0.93 million 55–59, men: 0.7 million 60–64, men: 0.52 million 65–69, men: 0.38 million 70–74, men: 0.26 million 75–79, men: 0.15 million 80–84, men: 0.07 million 85–89, men: 0.02 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3.2 million 5–9, women: 3 million 10–14, women: 2.9 million 15–19, women: 2.7 million 20–24, women: 2.5 million 25–29, women: 2.2 million 30–34, women: 2 million 35–39, women: 1.7 million 40–44, women: 1.4 million 45–49, women: 1.2 million 50–54, women: 0.91 million 55–59, women: 0.69 million 60–64, women: 0.52 million 65–69, women: 0.4 million 70–74, women: 0.28 million 75–79, women: 0.17 million 80–84, women: 0.08 million 85–89, women: 0.03 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 3m 0 3m Men Women 0–4, men: 3.4 million 5–9, men: 3.2 million 10–14, men: 3.1 million 15–19, men: 2.9 million 20–24, men: 2.8 million 25–29, men: 2.6 million 30–34, men: 2.3 million 35–39, men: 2 million 40–44, men: 1.8 million 45–49, men: 1.5 million 50–54, men: 1.2 million 55–59, men: 0.89 million 60–64, men: 0.64 million 65–69, men: 0.46 million 70–74, men: 0.31 million 75–79, men: 0.18 million 80–84, men: 0.08 million 85–89, men: 0.02 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3.3 million 5–9, women: 3.1 million 10–14, women: 3 million 15–19, women: 2.9 million 20–24, women: 2.7 million 25–29, women: 2.5 million 30–34, women: 2.2 million 35–39, women: 1.9 million 40–44, women: 1.7 million 45–49, women: 1.4 million 50–54, women: 1.1 million 55–59, women: 0.88 million 60–64, women: 0.65 million 65–69, women: 0.47 million 70–74, women: 0.33 million 75–79, women: 0.2 million 80–84, women: 0.1 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 3m 0 3m Men Women 0–4, men: 3.4 million 5–9, men: 3.3 million 10–14, men: 3.2 million 15–19, men: 3.1 million 20–24, men: 2.9 million 25–29, men: 2.7 million 30–34, men: 2.5 million 35–39, men: 2.2 million 40–44, men: 2 million 45–49, men: 1.7 million 50–54, men: 1.4 million 55–59, men: 1.1 million 60–64, men: 0.82 million 65–69, men: 0.57 million 70–74, men: 0.37 million 75–79, men: 0.22 million 80–84, men: 0.1 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: 3.3 million 5–9, women: 3.2 million 10–14, women: 3.1 million 15–19, women: 3 million 20–24, women: 2.8 million 25–29, women: 2.7 million 30–34, women: 2.5 million 35–39, women: 2.2 million 40–44, women: 1.9 million 45–49, women: 1.7 million 50–54, women: 1.4 million 55–59, women: 1.1 million 60–64, women: 0.83 million 65–69, women: 0.59 million 70–74, women: 0.4 million 75–79, women: 0.25 million 80–84, women: 0.12 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 3m 0 3m Men Women 0–4, men: 3.4 million 5–9, men: 3.4 million 10–14, men: 3.3 million 15–19, men: 3.2 million 20–24, men: 3 million 25–29, men: 2.9 million 30–34, men: 2.7 million 35–39, men: 2.5 million 40–44, men: 2.2 million 45–49, men: 1.9 million 50–54, men: 1.7 million 55–59, men: 1.3 million 60–64, men: 1 million 65–69, men: 0.72 million 70–74, men: 0.46 million 75–79, men: 0.26 million 80–84, men: 0.12 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: 3.3 million 5–9, women: 3.3 million 10–14, women: 3.2 million 15–19, women: 3.1 million 20–24, women: 2.9 million 25–29, women: 2.8 million 30–34, women: 2.6 million 35–39, women: 2.4 million 40–44, women: 2.2 million 45–49, women: 1.9 million 50–54, women: 1.6 million 55–59, women: 1.3 million 60–64, women: 1 million 65–69, women: 0.76 million 70–74, women: 0.5 million 75–79, women: 0.3 million 80–84, women: 0.15 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 3m 0 3m Men Women 0–4, men: 3.4 million 5–9, men: 3.4 million 10–14, men: 3.3 million 15–19, men: 3.3 million 20–24, men: 3.1 million 25–29, men: 3 million 30–34, men: 2.8 million 35–39, men: 2.7 million 40–44, men: 2.5 million 45–49, men: 2.2 million 50–54, men: 1.9 million 55–59, men: 1.6 million 60–64, men: 1.2 million 65–69, men: 0.9 million 70–74, men: 0.59 million 75–79, men: 0.33 million 80–84, men: 0.15 million 85–89, men: 0.05 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3.3 million 5–9, women: 3.3 million 10–14, women: 3.3 million 15–19, women: 3.2 million 20–24, women: 3 million 25–29, women: 2.9 million 30–34, women: 2.8 million 35–39, women: 2.6 million 40–44, women: 2.4 million 45–49, women: 2.1 million 50–54, women: 1.8 million 55–59, women: 1.6 million 60–64, women: 1.3 million 65–69, women: 0.95 million 70–74, women: 0.64 million 75–79, women: 0.38 million 80–84, women: 0.18 million 85–89, women: 0.06 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 3m 0 3m Men Women 0–4, men: 3.4 million 5–9, men: 3.4 million 10–14, men: 3.4 million 15–19, men: 3.3 million 20–24, men: 3.2 million 25–29, men: 3.1 million 30–34, men: 2.9 million 35–39, men: 2.8 million 40–44, men: 2.6 million 45–49, men: 2.4 million 50–54, men: 2.1 million 55–59, men: 1.8 million 60–64, men: 1.5 million 65–69, men: 1.1 million 70–74, men: 0.75 million 75–79, men: 0.43 million 80–84, men: 0.19 million 85–89, men: 0.06 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3.3 million 5–9, women: 3.3 million 10–14, women: 3.3 million 15–19, women: 3.2 million 20–24, women: 3.1 million 25–29, women: 3 million 30–34, women: 2.9 million 35–39, women: 2.7 million 40–44, women: 2.6 million 45–49, women: 2.4 million 50–54, women: 2.1 million 55–59, women: 1.8 million 60–64, women: 1.5 million 65–69, women: 1.2 million 70–74, women: 0.81 million 75–79, women: 0.49 million 80–84, women: 0.23 million 85–89, women: 0.08 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 3m 0 3m Men Women 0–4, men: 3.4 million 5–9, men: 3.4 million 10–14, men: 3.4 million 15–19, men: 3.3 million 20–24, men: 3.3 million 25–29, men: 3.2 million 30–34, men: 3 million 35–39, men: 2.9 million 40–44, men: 2.7 million 45–49, men: 2.6 million 50–54, men: 2.3 million 55–59, men: 2 million 60–64, men: 1.7 million 65–69, men: 1.3 million 70–74, men: 0.91 million 75–79, men: 0.54 million 80–84, men: 0.25 million 85–89, men: 0.08 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3.3 million 5–9, women: 3.3 million 10–14, women: 3.3 million 15–19, women: 3.3 million 20–24, women: 3.2 million 25–29, women: 3.1 million 30–34, women: 3 million 35–39, women: 2.9 million 40–44, women: 2.7 million 45–49, women: 2.5 million 50–54, women: 2.3 million 55–59, women: 2 million 60–64, women: 1.7 million 65–69, women: 1.4 million 70–74, women: 1 million 75–79, women: 0.62 million 80–84, women: 0.3 million 85–89, women: 0.1 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 3m 0 3m Men Women 0–4, men: 3.4 million 5–9, men: 3.3 million 10–14, men: 3.3 million 15–19, men: 3.3 million 20–24, men: 3.3 million 25–29, men: 3.2 million 30–34, men: 3.1 million 35–39, men: 3 million 40–44, men: 2.9 million 45–49, men: 2.7 million 50–54, men: 2.5 million 55–59, men: 2.2 million 60–64, men: 1.9 million 65–69, men: 1.5 million 70–74, men: 1.1 million 75–79, men: 0.67 million 80–84, men: 0.32 million 85–89, men: 0.1 million 90–94, men: 0.02 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3.3 million 5–9, women: 3.3 million 10–14, women: 3.3 million 15–19, women: 3.3 million 20–24, women: 3.2 million 25–29, women: 3.2 million 30–34, women: 3.1 million 35–39, women: 3 million 40–44, women: 2.8 million 45–49, women: 2.7 million 50–54, women: 2.5 million 55–59, women: 2.2 million 60–64, women: 1.9 million 65–69, women: 1.6 million 70–74, women: 1.2 million 75–79, women: 0.77 million 80–84, women: 0.39 million 85–89, women: 0.14 million 90–94, women: 0.03 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 3m 0 3m Men Women 0–4, men: 3.3 million 5–9, men: 3.3 million 10–14, men: 3.3 million 15–19, men: 3.3 million 20–24, men: 3.3 million 25–29, men: 3.2 million 30–34, men: 3.2 million 35–39, men: 3.1 million 40–44, men: 3 million 45–49, men: 2.8 million 50–54, men: 2.6 million 55–59, men: 2.4 million 60–64, men: 2.1 million 65–69, men: 1.7 million 70–74, men: 1.2 million 75–79, men: 0.8 million 80–84, men: 0.4 million 85–89, men: 0.13 million 90–94, men: 0.03 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3.2 million 5–9, women: 3.2 million 10–14, women: 3.3 million 15–19, women: 3.3 million 20–24, women: 3.2 million 25–29, women: 3.2 million 30–34, women: 3.1 million 35–39, women: 3.1 million 40–44, women: 2.9 million 45–49, women: 2.8 million 50–54, women: 2.6 million 55–59, women: 2.4 million 60–64, women: 2.1 million 65–69, women: 1.8 million 70–74, women: 1.4 million 75–79, women: 0.92 million 80–84, women: 0.49 million 85–89, women: 0.19 million 90–94, women: 0.04 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 3m 0 3m Men Women 0–4, men: 3.3 million 5–9, men: 3.3 million 10–14, men: 3.3 million 15–19, men: 3.3 million 20–24, men: 3.3 million 25–29, men: 3.2 million 30–34, men: 3.2 million 35–39, men: 3.2 million 40–44, men: 3.1 million 45–49, men: 2.9 million 50–54, men: 2.7 million 55–59, men: 2.5 million 60–64, men: 2.2 million 65–69, men: 1.9 million 70–74, men: 1.4 million 75–79, men: 0.91 million 80–84, men: 0.48 million 85–89, men: 0.17 million 90–94, men: 0.03 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3.2 million 5–9, women: 3.2 million 10–14, women: 3.2 million 15–19, women: 3.2 million 20–24, women: 3.2 million 25–29, women: 3.2 million 30–34, women: 3.2 million 35–39, women: 3.1 million 40–44, women: 3 million 45–49, women: 2.9 million 50–54, women: 2.7 million 55–59, women: 2.5 million 60–64, women: 2.3 million 65–69, women: 2 million 70–74, women: 1.5 million 75–79, women: 1.1 million 80–84, women: 0.6 million 85–89, women: 0.24 million 90–94, women: 0.06 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 3m 0 3m Men Women 0–4, men: 3.2 million 5–9, men: 3.2 million 10–14, men: 3.3 million 15–19, men: 3.3 million 20–24, men: 3.3 million 25–29, men: 3.2 million 30–34, men: 3.2 million 35–39, men: 3.2 million 40–44, men: 3.1 million 45–49, men: 3 million 50–54, men: 2.8 million 55–59, men: 2.6 million 60–64, men: 2.3 million 65–69, men: 2 million 70–74, men: 1.6 million 75–79, men: 1 million 80–84, men: 0.56 million 85–89, men: 0.21 million 90–94, men: 0.04 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3.1 million 5–9, women: 3.1 million 10–14, women: 3.2 million 15–19, women: 3.2 million 20–24, women: 3.2 million 25–29, women: 3.2 million 30–34, women: 3.2 million 35–39, women: 3.2 million 40–44, women: 3.1 million 45–49, women: 3 million 50–54, women: 2.9 million 55–59, women: 2.7 million 60–64, women: 2.4 million 65–69, women: 2.2 million 70–74, women: 1.7 million 75–79, women: 1.2 million 80–84, women: 0.71 million 85–89, women: 0.3 million 90–94, women: 0.08 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 3m 0 3m 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 6.06 2023 · 3rd of 237 · UN WPP 2024
Median age 15.2 2023 · 236th of 237 · UN WPP 2024
Aged 65 and over 2.6% 2025, Projection, medium variant · UN WPP 2024
Niger emitted 3.2 Mt of CO2 from fossil fuels and cement in 2024.
Niger’s CO2 emissions, million tonnes, 1990–2024 0 Mt 1 Mt 2 Mt 3 Mt 4 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 3Mt 2024 · 146th of 214 · Global Carbon Budget
CO2 per person 0.1t 2024 · 208th of 213 · Global Carbon Budget
CO2 since 1750 62Mt 2024 · 157th of 214 · Global Carbon Budget
Shown only where a source covers Niger.
Refugees 435,990 refugees and others in need of protection hosted, 2025
107,253 from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions No entry on the US, EU or UK lists gives it as an address or nationality.
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$3.80billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents No publicly known incidents affecting Niger 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 Niger.
Measure Value Year Rank Source GDP $22 bn 2025 127th of 186 World Bank GDP per person $775 2025 180th of 186 World Bank Economic growth 7.0% 2025 17th of 186 World Bank Inflation −4.5% 2025 168th of 169 World Bank Government debt 46% 2025 115th of 191 IMF World Economic Outlook, October 2026 Government budget balance −2.9% 2025 107th of 195 IMF World Economic Outlook, October 2026 Current account balance −3.7% 2025 127th of 194 IMF World Economic Outlook, October 2026 Unemployment 0.4% 2025 179th of 181 World Bank Trade 24% 2024 169th of 172 World Bank Foreign investment in $257 m 2025 138th of 200 World Bank Remittances received 3.3% 2024 63rd of 162 World Bank Population 28 m 2025 54th of 216 World Bank Population with UN projections 26 m 2023 56th of 237 UN WPP 2024 Births per woman 6.06 2023 3rd of 237 UN WPP 2024 Median age 15.2 2023 236th of 237 UN WPP 2024 Life expectancy 61.2 2023 227th of 237 UN WPP 2024 Refugees from the country 107,253 2025 40th of 206 UNHCR Refugees and others needing protection, by host 435,990 2025 28th of 176 UNHCR Refugees hosted per 1,000 people 15.6 2025 47th of 176 UNHCR People displaced inside the country 459,585 2025 21st of 38 UNHCR Crude oil production 101 kb/d 2025 42nd of 214 EIA Oil consumption 20 kb/d 2024 143rd of 212 EIA Natural gas production 2024 86th of 213 EIA Natural gas consumption 0.0 bcm 2024 119th of 213 EIA Electricity generated 1 TWh 2024 158th of 193 Ember Low-carbon electricity 3.2% 2024 173rd of 193 Ember Electricity from coal 18% 2024 39th of 193 Ember Electricity from wind and solar 3.2% 2024 121st of 193 Ember Wheat production 0.0 Mt 2024 101st of 123 FAOSTAT Wheat imports 0.0 Mt 2024 172nd of 180 FAOSTAT Maize production 0.0 Mt 2024 115th of 169 FAOSTAT Maize imports 0.1 Mt 2024 90th of 196 FAOSTAT Rice production 0.1 Mt 2024 69th of 135 FAOSTAT Rice imports 0.4 Mt 2024 36th of 197 FAOSTAT Soybean imports 0.0 Mt 2024 152nd of 179 FAOSTAT Potash fertiliser use 0.00 Mt 2024 132nd of 199 FAOSTAT Phosphate fertiliser use 0.00 Mt 2024 123rd of 199 FAOSTAT CO2 emissions 3 Mt 2024 146th of 214 Global Carbon Budget CO2 per person 0.1 t 2024 208th of 213 Global Carbon Budget CO2 emitted since 1750 62 Mt 2024 157th of 214 Global Carbon Budget Water stress 3.5 2023 38th of 164 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water from abroad 90% 2023 9th of 193 FAO AQUASTAT Military spending, share of GDP 2.1% 2025 50th of 150 World Bank Military spending $489 m 2025 102nd of 150 World Bank Deaths in organised violence 1,117 2025 18th of 61 UCDP Arms imports 4 TIV m 2025 94th of 108 SIPRI People using the internet 16% 2024 178th of 182 World Bank ICT service exports $70 m 2024 109th of 162 World Bank ICT service exports, share of service exports 28% 2024 14th of 162 World Bank Chinese loans and grants committed $14 m 2021 83rd 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, Internally displaced 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 AidData Chinese development finance Chinese loans and grants UN Comtrade Dependencies at a glance US Consolidated Screening List Sanctions EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents