1 Dependencies at a glance Chad 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 90% of what it producesEIA, use 2024 · UN Comtrade, exports 2025 Germany , Netherlands , China (buyers)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 5.6% of the rice it usesFAOSTAT, use 2020 · FAOSTAT, imports 2023 No partner data from the source 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 No partner data from the source Arms – Supplier concentration only Main supplier: Türkiye, 45% of importsSIPRI, 2021–2025 Türkiye , China , United Arab Emirates Chips – Supplier concentration only Not reported by this sourceUN Comtrade, 2025 –
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 90% of what it produces
Main partners: Germany, Netherlands, China (buyers)
EIA, use 2024 · UN Comtrade, exports 2025
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 5.6% of the rice it uses
Main partners: No partner data from the source
FAOSTAT, use 2020 · FAOSTAT, imports 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: No partner data from the source
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
ArmsSupplier concentration only Main supplier: Türkiye, 45% of imports
Main partners: Türkiye, China, United Arab Emirates
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 2025
Chad’s economy produced $21 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 5.6% 2025 · 39th of 186 · World Bank
Inflation −3.9% 2025 · 167th of 169 · World Bank
Unemployment 1.1% 2025 · 176th of 181 · World Bank
Reserves US$1.55billion 2024 · 127th of 164 · World Bank
Trade 45% of GDP 2024 · 140th of 172 · World Bank
Foreign investment in US$4.3million 2025 · 177th of 200 · World Bank
Chad had 21 m people in 2025.
Population, 1950–2100 0 20 m 40 m 60 m 80 m 100 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Chad’s population by age Men Women 0–4, men: 0.2 million 5–9, men: 0.15 million 10–14, men: 0.13 million 15–19, men: 0.12 million 20–24, men: 0.11 million 25–29, men: 0.09 million 30–34, men: 0.08 million 35–39, men: 0.07 million 40–44, men: 0.06 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: 0.02 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: 0.2 million 5–9, women: 0.15 million 10–14, women: 0.13 million 15–19, women: 0.12 million 20–24, women: 0.11 million 25–29, women: 0.1 million 30–34, women: 0.09 million 35–39, women: 0.08 million 40–44, women: 0.07 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: 0.03 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: 0.23 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: 0.1 million 30–34, men: 0.09 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: 0.02 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: 0.23 million 5–9, women: 0.17 million 10–14, women: 0.14 million 15–19, women: 0.13 million 20–24, women: 0.12 million 25–29, women: 0.1 million 30–34, women: 0.09 million 35–39, women: 0.08 million 40–44, women: 0.07 million 45–49, women: 0.06 million 50–54, women: 0.05 million 55–59, women: 0.05 million 60–64, women: 0.03 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: 0.26 million 5–9, men: 0.2 million 10–14, men: 0.17 million 15–19, men: 0.14 million 20–24, men: 0.13 million 25–29, men: 0.11 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: 0.02 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: 0.26 million 5–9, women: 0.2 million 10–14, women: 0.16 million 15–19, women: 0.14 million 20–24, women: 0.12 million 25–29, women: 0.11 million 30–34, women: 0.1 million 35–39, women: 0.09 million 40–44, women: 0.08 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 3m 0 3m Men Women 0–4, men: 0.29 million 5–9, men: 0.23 million 10–14, men: 0.2 million 15–19, men: 0.16 million 20–24, men: 0.14 million 25–29, men: 0.12 million 30–34, men: 0.1 million 35–39, men: 0.09 million 40–44, men: 0.08 million 45–49, men: 0.07 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 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: 0.23 million 10–14, women: 0.2 million 15–19, women: 0.16 million 20–24, women: 0.13 million 25–29, women: 0.12 million 30–34, women: 0.11 million 35–39, women: 0.09 million 40–44, women: 0.08 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 3m 0 3m Men Women 0–4, men: 0.33 million 5–9, men: 0.25 million 10–14, men: 0.22 million 15–19, men: 0.19 million 20–24, men: 0.15 million 25–29, men: 0.13 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: 0.06 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 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: 0.25 million 10–14, women: 0.22 million 15–19, women: 0.19 million 20–24, women: 0.15 million 25–29, women: 0.13 million 30–34, women: 0.11 million 35–39, women: 0.1 million 40–44, women: 0.09 million 45–49, women: 0.08 million 50–54, women: 0.07 million 55–59, women: 0.06 million 60–64, women: 0.05 million 65–69, women: 0.04 million 70–74, women: 0.03 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 3m 0 3m Men Women 0–4, men: 0.39 million 5–9, men: 0.29 million 10–14, men: 0.24 million 15–19, men: 0.21 million 20–24, men: 0.18 million 25–29, men: 0.14 million 30–34, men: 0.11 million 35–39, men: 0.1 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 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.39 million 5–9, women: 0.29 million 10–14, women: 0.24 million 15–19, women: 0.21 million 20–24, women: 0.18 million 25–29, women: 0.14 million 30–34, women: 0.12 million 35–39, women: 0.1 million 40–44, women: 0.09 million 45–49, women: 0.08 million 50–54, women: 0.07 million 55–59, women: 0.06 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 3m 0 3m Men Women 0–4, men: 0.43 million 5–9, men: 0.35 million 10–14, men: 0.28 million 15–19, men: 0.23 million 20–24, men: 0.18 million 25–29, men: 0.15 million 30–34, men: 0.11 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: 0.06 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: 0.43 million 5–9, women: 0.34 million 10–14, women: 0.28 million 15–19, women: 0.23 million 20–24, women: 0.18 million 25–29, women: 0.15 million 30–34, women: 0.12 million 35–39, women: 0.1 million 40–44, women: 0.09 million 45–49, women: 0.08 million 50–54, women: 0.07 million 55–59, women: 0.06 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 3m 0 3m Men Women 0–4, men: 0.49 million 5–9, men: 0.39 million 10–14, men: 0.33 million 15–19, men: 0.27 million 20–24, men: 0.21 million 25–29, men: 0.17 million 30–34, men: 0.13 million 35–39, men: 0.1 million 40–44, men: 0.09 million 45–49, men: 0.08 million 50–54, men: 0.07 million 55–59, men: 0.06 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 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.48 million 5–9, women: 0.39 million 10–14, women: 0.33 million 15–19, women: 0.27 million 20–24, women: 0.21 million 25–29, women: 0.17 million 30–34, women: 0.14 million 35–39, women: 0.11 million 40–44, women: 0.09 million 45–49, women: 0.08 million 50–54, women: 0.08 million 55–59, women: 0.07 million 60–64, women: 0.06 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 3m 0 3m Men Women 0–4, men: 0.6 million 5–9, men: 0.44 million 10–14, men: 0.38 million 15–19, men: 0.32 million 20–24, men: 0.26 million 25–29, men: 0.2 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: 0.06 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: 0.59 million 5–9, women: 0.44 million 10–14, women: 0.38 million 15–19, women: 0.33 million 20–24, women: 0.26 million 25–29, women: 0.21 million 30–34, women: 0.17 million 35–39, women: 0.14 million 40–44, women: 0.11 million 45–49, women: 0.09 million 50–54, women: 0.08 million 55–59, women: 0.07 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 3m 0 3m Men Women 0–4, men: 0.74 million 5–9, men: 0.54 million 10–14, men: 0.43 million 15–19, men: 0.37 million 20–24, men: 0.31 million 25–29, men: 0.25 million 30–34, men: 0.2 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: 0.07 million 60–64, men: 0.05 million 65–69, men: 0.04 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: 0.72 million 5–9, women: 0.54 million 10–14, women: 0.43 million 15–19, women: 0.37 million 20–24, women: 0.32 million 25–29, women: 0.26 million 30–34, women: 0.21 million 35–39, women: 0.16 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: 0.06 million 65–69, women: 0.05 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: 0.89 million 5–9, men: 0.68 million 10–14, men: 0.53 million 15–19, men: 0.42 million 20–24, men: 0.36 million 25–29, men: 0.31 million 30–34, men: 0.25 million 35–39, men: 0.19 million 40–44, men: 0.15 million 45–49, men: 0.12 million 50–54, men: 0.09 million 55–59, men: 0.07 million 60–64, men: 0.06 million 65–69, men: 0.04 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: 0.87 million 5–9, women: 0.67 million 10–14, women: 0.52 million 15–19, women: 0.42 million 20–24, women: 0.37 million 25–29, women: 0.32 million 30–34, women: 0.26 million 35–39, women: 0.2 million 40–44, women: 0.16 million 45–49, women: 0.13 million 50–54, women: 0.1 million 55–59, women: 0.08 million 60–64, women: 0.07 million 65–69, women: 0.05 million 70–74, women: 0.04 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: 1.1 million 5–9, men: 0.82 million 10–14, men: 0.66 million 15–19, men: 0.53 million 20–24, men: 0.43 million 25–29, men: 0.37 million 30–34, men: 0.32 million 35–39, men: 0.25 million 40–44, men: 0.19 million 45–49, men: 0.15 million 50–54, men: 0.11 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: 1 million 5–9, women: 0.8 million 10–14, women: 0.65 million 15–19, women: 0.52 million 20–24, women: 0.43 million 25–29, women: 0.38 million 30–34, women: 0.32 million 35–39, women: 0.26 million 40–44, women: 0.2 million 45–49, women: 0.16 million 50–54, women: 0.12 million 55–59, women: 0.09 million 60–64, women: 0.07 million 65–69, women: 0.06 million 70–74, women: 0.04 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: 1.3 million 5–9, men: 0.98 million 10–14, men: 0.8 million 15–19, men: 0.65 million 20–24, men: 0.52 million 25–29, men: 0.42 million 30–34, men: 0.36 million 35–39, men: 0.31 million 40–44, men: 0.24 million 45–49, men: 0.18 million 50–54, men: 0.14 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: 1.2 million 5–9, women: 0.95 million 10–14, women: 0.78 million 15–19, women: 0.64 million 20–24, women: 0.51 million 25–29, women: 0.42 million 30–34, women: 0.37 million 35–39, women: 0.31 million 40–44, women: 0.25 million 45–49, women: 0.19 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: 0.03 million 80–84, women: 0.01 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: 1.5 million 5–9, men: 1.2 million 10–14, men: 0.95 million 15–19, men: 0.78 million 20–24, men: 0.64 million 25–29, men: 0.51 million 30–34, men: 0.41 million 35–39, men: 0.35 million 40–44, men: 0.3 million 45–49, men: 0.23 million 50–54, men: 0.17 million 55–59, men: 0.13 million 60–64, men: 0.09 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: 1.2 million 10–14, women: 0.93 million 15–19, women: 0.77 million 20–24, women: 0.63 million 25–29, women: 0.51 million 30–34, women: 0.42 million 35–39, women: 0.36 million 40–44, women: 0.3 million 45–49, women: 0.24 million 50–54, women: 0.18 million 55–59, women: 0.14 million 60–64, women: 0.1 million 65–69, women: 0.07 million 70–74, women: 0.05 million 75–79, women: 0.03 million 80–84, women: 0.01 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: 1.7 million 5–9, men: 1.4 million 10–14, men: 1.2 million 15–19, men: 0.93 million 20–24, men: 0.76 million 25–29, men: 0.62 million 30–34, men: 0.49 million 35–39, men: 0.4 million 40–44, men: 0.34 million 45–49, men: 0.28 million 50–54, men: 0.21 million 55–59, men: 0.16 million 60–64, men: 0.11 million 65–69, men: 0.07 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: 1.6 million 5–9, women: 1.3 million 10–14, women: 1.1 million 15–19, women: 0.91 million 20–24, women: 0.75 million 25–29, women: 0.61 million 30–34, women: 0.49 million 35–39, women: 0.4 million 40–44, women: 0.35 million 45–49, women: 0.29 million 50–54, women: 0.22 million 55–59, women: 0.17 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: 0.02 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: 1.9 million 5–9, men: 1.6 million 10–14, men: 1.4 million 15–19, men: 1.1 million 20–24, men: 0.95 million 25–29, men: 0.81 million 30–34, men: 0.66 million 35–39, men: 0.51 million 40–44, men: 0.41 million 45–49, men: 0.34 million 50–54, men: 0.27 million 55–59, men: 0.2 million 60–64, men: 0.14 million 65–69, men: 0.09 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: 1.5 million 10–14, women: 1.3 million 15–19, women: 1.1 million 20–24, women: 0.94 million 25–29, women: 0.81 million 30–34, women: 0.66 million 35–39, women: 0.52 million 40–44, women: 0.41 million 45–49, women: 0.35 million 50–54, women: 0.29 million 55–59, women: 0.22 million 60–64, women: 0.16 million 65–69, women: 0.11 million 70–74, women: 0.07 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 3m 0 3m Men Women 0–4, men: 2.2 million 5–9, men: 1.8 million 10–14, men: 1.5 million 15–19, men: 1.3 million 20–24, men: 1.1 million 25–29, men: 0.9 million 30–34, men: 0.79 million 35–39, men: 0.64 million 40–44, men: 0.49 million 45–49, men: 0.39 million 50–54, men: 0.31 million 55–59, men: 0.25 million 60–64, men: 0.18 million 65–69, men: 0.12 million 70–74, men: 0.07 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: 2.1 million 5–9, women: 1.8 million 10–14, women: 1.5 million 15–19, women: 1.3 million 20–24, women: 1 million 25–29, women: 0.89 million 30–34, women: 0.79 million 35–39, women: 0.64 million 40–44, women: 0.5 million 45–49, women: 0.4 million 50–54, women: 0.33 million 55–59, women: 0.27 million 60–64, women: 0.19 million 65–69, women: 0.14 million 70–74, women: 0.08 million 75–79, women: 0.05 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: 2.3 million 5–9, men: 2.1 million 10–14, men: 1.8 million 15–19, men: 1.5 million 20–24, men: 1.2 million 25–29, men: 1 million 30–34, men: 0.89 million 35–39, men: 0.78 million 40–44, men: 0.62 million 45–49, men: 0.47 million 50–54, men: 0.36 million 55–59, men: 0.29 million 60–64, men: 0.22 million 65–69, men: 0.15 million 70–74, men: 0.09 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: 2.2 million 5–9, women: 2 million 10–14, women: 1.8 million 15–19, women: 1.5 million 20–24, women: 1.2 million 25–29, women: 1 million 30–34, women: 0.89 million 35–39, women: 0.78 million 40–44, women: 0.63 million 45–49, women: 0.49 million 50–54, women: 0.38 million 55–59, women: 0.31 million 60–64, women: 0.24 million 65–69, women: 0.17 million 70–74, women: 0.11 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 3m 0 3m Men Women 0–4, men: 2.4 million 5–9, men: 2.2 million 10–14, men: 2 million 15–19, men: 1.8 million 20–24, men: 1.4 million 25–29, men: 1.2 million 30–34, men: 1 million 35–39, men: 0.88 million 40–44, men: 0.76 million 45–49, men: 0.6 million 50–54, men: 0.45 million 55–59, men: 0.34 million 60–64, men: 0.26 million 65–69, men: 0.19 million 70–74, men: 0.11 million 75–79, men: 0.06 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: 2.3 million 5–9, women: 2.1 million 10–14, women: 2 million 15–19, women: 1.7 million 20–24, women: 1.4 million 25–29, women: 1.2 million 30–34, women: 1 million 35–39, women: 0.88 million 40–44, women: 0.77 million 45–49, women: 0.61 million 50–54, women: 0.47 million 55–59, women: 0.36 million 60–64, women: 0.29 million 65–69, women: 0.21 million 70–74, women: 0.13 million 75–79, women: 0.08 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: 2.5 million 5–9, men: 2.3 million 10–14, men: 2.2 million 15–19, men: 2 million 20–24, men: 1.7 million 25–29, men: 1.4 million 30–34, men: 1.2 million 35–39, men: 1 million 40–44, men: 0.86 million 45–49, men: 0.73 million 50–54, men: 0.57 million 55–59, men: 0.41 million 60–64, men: 0.3 million 65–69, men: 0.22 million 70–74, men: 0.14 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: 2.5 million 5–9, women: 2.3 million 10–14, women: 2.1 million 15–19, women: 1.9 million 20–24, women: 1.6 million 25–29, women: 1.3 million 30–34, women: 1.2 million 35–39, women: 1 million 40–44, women: 0.87 million 45–49, women: 0.75 million 50–54, women: 0.59 million 55–59, women: 0.44 million 60–64, women: 0.33 million 65–69, women: 0.25 million 70–74, women: 0.17 million 75–79, women: 0.09 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: 2.7 million 5–9, men: 2.5 million 10–14, men: 2.3 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: 1.2 million 40–44, men: 0.98 million 45–49, men: 0.83 million 50–54, men: 0.69 million 55–59, men: 0.52 million 60–64, men: 0.37 million 65–69, men: 0.25 million 70–74, men: 0.17 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: 2.6 million 5–9, women: 2.4 million 10–14, women: 2.2 million 15–19, women: 2.1 million 20–24, women: 1.8 million 25–29, women: 1.6 million 30–34, women: 1.3 million 35–39, women: 1.2 million 40–44, women: 0.98 million 45–49, women: 0.85 million 50–54, women: 0.72 million 55–59, women: 0.56 million 60–64, women: 0.41 million 65–69, women: 0.29 million 70–74, women: 0.2 million 75–79, women: 0.12 million 80–84, women: 0.05 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: 2.8 million 5–9, men: 2.6 million 10–14, men: 2.4 million 15–19, men: 2.2 million 20–24, men: 2 million 25–29, men: 1.8 million 30–34, men: 1.6 million 35–39, men: 1.3 million 40–44, men: 1.1 million 45–49, men: 0.94 million 50–54, men: 0.78 million 55–59, men: 0.64 million 60–64, men: 0.47 million 65–69, men: 0.32 million 70–74, men: 0.2 million 75–79, men: 0.11 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: 2.7 million 5–9, women: 2.5 million 10–14, women: 2.4 million 15–19, women: 2.2 million 20–24, women: 1.9 million 25–29, women: 1.8 million 30–34, women: 1.6 million 35–39, women: 1.3 million 40–44, women: 1.1 million 45–49, women: 0.96 million 50–54, women: 0.81 million 55–59, women: 0.68 million 60–64, women: 0.51 million 65–69, women: 0.36 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: 0.01 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: 2.9 million 5–9, men: 2.7 million 10–14, men: 2.5 million 15–19, men: 2.4 million 20–24, men: 2.1 million 25–29, men: 1.9 million 30–34, men: 1.8 million 35–39, men: 1.6 million 40–44, men: 1.3 million 45–49, men: 1.1 million 50–54, men: 0.9 million 55–59, men: 0.73 million 60–64, men: 0.58 million 65–69, men: 0.4 million 70–74, men: 0.25 million 75–79, men: 0.13 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: 2.8 million 5–9, women: 2.6 million 10–14, women: 2.5 million 15–19, women: 2.3 million 20–24, women: 2.1 million 25–29, women: 1.9 million 30–34, women: 1.8 million 35–39, women: 1.6 million 40–44, women: 1.3 million 45–49, women: 1.1 million 50–54, women: 0.92 million 55–59, women: 0.77 million 60–64, women: 0.63 million 65–69, women: 0.45 million 70–74, women: 0.29 million 75–79, women: 0.17 million 80–84, women: 0.08 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: 2.9 million 5–9, men: 2.8 million 10–14, men: 2.7 million 15–19, men: 2.5 million 20–24, men: 2.2 million 25–29, men: 2 million 30–34, men: 1.9 million 35–39, men: 1.8 million 40–44, men: 1.5 million 45–49, men: 1.3 million 50–54, men: 1 million 55–59, men: 0.83 million 60–64, men: 0.66 million 65–69, men: 0.49 million 70–74, men: 0.31 million 75–79, men: 0.17 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: 2.8 million 5–9, women: 2.7 million 10–14, women: 2.6 million 15–19, women: 2.4 million 20–24, women: 2.2 million 25–29, women: 2 million 30–34, women: 1.9 million 35–39, women: 1.8 million 40–44, women: 1.5 million 45–49, women: 1.3 million 50–54, women: 1.1 million 55–59, women: 0.88 million 60–64, women: 0.71 million 65–69, women: 0.55 million 70–74, women: 0.37 million 75–79, women: 0.21 million 80–84, women: 0.1 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: 2.9 million 5–9, men: 2.8 million 10–14, men: 2.7 million 15–19, men: 2.6 million 20–24, men: 2.3 million 25–29, men: 2.1 million 30–34, men: 2 million 35–39, men: 1.9 million 40–44, men: 1.7 million 45–49, men: 1.5 million 50–54, men: 1.2 million 55–59, men: 0.97 million 60–64, men: 0.75 million 65–69, men: 0.56 million 70–74, men: 0.39 million 75–79, men: 0.21 million 80–84, men: 0.09 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: 2.8 million 5–9, women: 2.8 million 10–14, women: 2.7 million 15–19, women: 2.6 million 20–24, women: 2.3 million 25–29, women: 2.1 million 30–34, women: 2 million 35–39, women: 1.9 million 40–44, women: 1.7 million 45–49, women: 1.5 million 50–54, women: 1.2 million 55–59, women: 1 million 60–64, women: 0.81 million 65–69, women: 0.63 million 70–74, women: 0.45 million 75–79, women: 0.26 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: 2.9 million 5–9, men: 2.8 million 10–14, men: 2.8 million 15–19, men: 2.7 million 20–24, men: 2.4 million 25–29, men: 2.3 million 30–34, men: 2.1 million 35–39, men: 2 million 40–44, men: 1.8 million 45–49, men: 1.7 million 50–54, men: 1.4 million 55–59, men: 1.1 million 60–64, men: 0.88 million 65–69, men: 0.65 million 70–74, men: 0.44 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: 2.8 million 5–9, women: 2.8 million 10–14, women: 2.7 million 15–19, women: 2.6 million 20–24, women: 2.4 million 25–29, women: 2.2 million 30–34, women: 2.1 million 35–39, women: 2 million 40–44, women: 1.9 million 45–49, women: 1.7 million 50–54, women: 1.5 million 55–59, women: 1.2 million 60–64, women: 0.95 million 65–69, women: 0.72 million 70–74, women: 0.52 million 75–79, women: 0.33 million 80–84, women: 0.16 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: 2.9 million 5–9, men: 2.8 million 10–14, men: 2.8 million 15–19, men: 2.7 million 20–24, men: 2.5 million 25–29, men: 2.4 million 30–34, men: 2.3 million 35–39, men: 2.1 million 40–44, men: 2 million 45–49, men: 1.8 million 50–54, men: 1.6 million 55–59, men: 1.3 million 60–64, men: 1 million 65–69, men: 0.76 million 70–74, men: 0.51 million 75–79, men: 0.3 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: 2.9 million 5–9, women: 2.8 million 10–14, women: 2.7 million 15–19, women: 2.7 million 20–24, women: 2.5 million 25–29, women: 2.4 million 30–34, women: 2.3 million 35–39, women: 2.1 million 40–44, women: 2 million 45–49, women: 1.8 million 50–54, women: 1.7 million 55–59, women: 1.4 million 60–64, women: 1.1 million 65–69, women: 0.85 million 70–74, women: 0.59 million 75–79, women: 0.38 million 80–84, women: 0.2 million 85–89, women: 0.07 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: 2.9 million 5–9, men: 2.9 million 10–14, men: 2.8 million 15–19, men: 2.7 million 20–24, men: 2.6 million 25–29, men: 2.4 million 30–34, men: 2.4 million 35–39, men: 2.3 million 40–44, men: 2.1 million 45–49, men: 1.9 million 50–54, men: 1.7 million 55–59, men: 1.5 million 60–64, men: 1.2 million 65–69, men: 0.87 million 70–74, men: 0.6 million 75–79, men: 0.35 million 80–84, men: 0.17 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: 2.8 million 5–9, women: 2.8 million 10–14, women: 2.8 million 15–19, women: 2.7 million 20–24, women: 2.5 million 25–29, women: 2.4 million 30–34, women: 2.4 million 35–39, women: 2.3 million 40–44, women: 2.1 million 45–49, women: 1.9 million 50–54, women: 1.8 million 55–59, women: 1.6 million 60–64, women: 1.3 million 65–69, women: 0.98 million 70–74, women: 0.7 million 75–79, women: 0.44 million 80–84, women: 0.23 million 85–89, women: 0.09 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: 2.9 million 5–9, men: 2.8 million 10–14, men: 2.8 million 15–19, men: 2.8 million 20–24, men: 2.6 million 25–29, men: 2.5 million 30–34, men: 2.4 million 35–39, men: 2.4 million 40–44, men: 2.2 million 45–49, men: 2 million 50–54, men: 1.8 million 55–59, men: 1.6 million 60–64, men: 1.4 million 65–69, men: 1 million 70–74, men: 0.7 million 75–79, men: 0.42 million 80–84, men: 0.2 million 85–89, men: 0.07 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 2.8 million 5–9, women: 2.8 million 10–14, women: 2.8 million 15–19, women: 2.7 million 20–24, women: 2.5 million 25–29, women: 2.5 million 30–34, women: 2.4 million 35–39, women: 2.4 million 40–44, women: 2.2 million 45–49, women: 2.1 million 50–54, women: 1.9 million 55–59, women: 1.7 million 60–64, women: 1.5 million 65–69, women: 1.2 million 70–74, women: 0.81 million 75–79, women: 0.52 million 80–84, women: 0.26 million 85–89, women: 0.1 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: 2.8 million 5–9, men: 2.8 million 10–14, men: 2.8 million 15–19, men: 2.8 million 20–24, men: 2.6 million 25–29, men: 2.5 million 30–34, men: 2.5 million 35–39, men: 2.4 million 40–44, men: 2.3 million 45–49, men: 2.1 million 50–54, men: 1.9 million 55–59, men: 1.7 million 60–64, men: 1.5 million 65–69, men: 1.2 million 70–74, men: 0.83 million 75–79, men: 0.48 million 80–84, men: 0.23 million 85–89, men: 0.08 million 90–94, men: 0.02 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 2.8 million 5–9, women: 2.8 million 10–14, women: 2.8 million 15–19, women: 2.7 million 20–24, women: 2.6 million 25–29, women: 2.5 million 30–34, women: 2.5 million 35–39, women: 2.4 million 40–44, women: 2.3 million 45–49, women: 2.2 million 50–54, women: 2 million 55–59, women: 1.8 million 60–64, women: 1.6 million 65–69, women: 1.3 million 70–74, women: 0.97 million 75–79, women: 0.6 million 80–84, women: 0.32 million 85–89, women: 0.12 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: 2.8 million 5–9, men: 2.8 million 10–14, men: 2.8 million 15–19, men: 2.8 million 20–24, men: 2.6 million 25–29, men: 2.5 million 30–34, men: 2.5 million 35–39, men: 2.5 million 40–44, men: 2.4 million 45–49, men: 2.3 million 50–54, men: 2.1 million 55–59, men: 1.8 million 60–64, men: 1.6 million 65–69, men: 1.3 million 70–74, men: 0.94 million 75–79, men: 0.58 million 80–84, men: 0.28 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: 2.7 million 5–9, women: 2.7 million 10–14, women: 2.7 million 15–19, women: 2.7 million 20–24, women: 2.6 million 25–29, women: 2.5 million 30–34, women: 2.5 million 35–39, women: 2.5 million 40–44, women: 2.4 million 45–49, women: 2.3 million 50–54, women: 2.1 million 55–59, women: 1.9 million 60–64, women: 1.7 million 65–69, women: 1.4 million 70–74, women: 1.1 million 75–79, women: 0.72 million 80–84, women: 0.37 million 85–89, women: 0.15 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 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 6.12 2023 · 2nd of 237 · UN WPP 2024
Median age 15.4 2023 · 235th of 237 · UN WPP 2024
Aged 65 and over 2.1% 2025, Projection, medium variant · UN WPP 2024
Chad emitted 2.8 Mt of CO2 from fossil fuels and cement in 2024.
Chad’s CO2 emissions, million tonnes, 1990–2024 0 Mt 1 Mt 2 Mt 3 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 3Mt 2024 · 150th of 214 · Global Carbon Budget
CO2 per person 0.1t 2024 · 205th of 213 · Global Carbon Budget
CO2 since 1750 51Mt 2024 · 162nd of 214 · Global Carbon Budget
Shown only where a source covers Chad.
Refugees 1.5 m refugees and others in need of protection hosted, 2025
32,392 from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 2 entries on the US, EU and UK lists give it as an address or nationality: US 1 and UK 1
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$1.52billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents No publicly known incidents affecting Chad 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
49 measures on this site have a recent figure for Chad.
Measure Value Year Rank Source GDP $21 bn 2025 128th of 186 World Bank GDP per person $1,022 2025 174th of 186 World Bank Economic growth 5.6% 2025 39th of 186 World Bank Inflation −3.9% 2025 167th of 169 World Bank Government debt 33% 2025 150th of 191 IMF World Economic Outlook, October 2026 Government budget balance −0.3% 2025 43rd of 195 IMF World Economic Outlook, October 2026 Current account balance 2025 86th of 194 IMF World Economic Outlook, October 2026 Unemployment 1.1% 2025 176th of 181 World Bank Reserves, including gold $1.5 bn 2024 127th of 164 World Bank Trade 45% 2024 140th of 172 World Bank Foreign investment in $4 m 2025 177th of 200 World Bank Population 21 m 2025 63rd of 216 World Bank Population with UN projections 19 m 2023 66th of 237 UN WPP 2024 Births per woman 6.12 2023 2nd of 237 UN WPP 2024 Median age 15.4 2023 235th of 237 UN WPP 2024 Life expectancy 55.1 2023 236th of 237 UN WPP 2024 Refugees from the country 32,392 2025 54th of 206 UNHCR Refugees and others needing protection, by host 1.5 m 2025 8th of 176 UNHCR Refugees hosted per 1,000 people 72.0 2025 4th of 176 UNHCR People displaced inside the country 219,595 2025 27th of 38 UNHCR Crude oil production 126 kb/d 2025 39th of 214 EIA Oil consumption 13 kb/d 2024 156th of 212 EIA Natural gas production 2024 97th of 213 EIA Natural gas consumption 0.0 bcm 2024 126th of 213 EIA Electricity generated 0 TWh 2024 177th of 193 Ember Low-carbon electricity 5.4% 2024 163rd of 193 Ember Electricity from coal 0% 2024 82nd of 193 Ember Electricity from wind and solar 2.7% 2024 128th of 193 Ember Wheat production 0.0 Mt 2024 108th of 123 FAOSTAT Wheat imports 0.0 Mt 2024 139th of 180 FAOSTAT Maize production 0.4 Mt 2024 82nd of 169 FAOSTAT Maize imports 0.0 Mt 2024 135th of 196 FAOSTAT Rice production 0.2 Mt 2024 55th of 135 FAOSTAT Rice imports 0.0 Mt 2024 163rd of 197 FAOSTAT Soybean imports 0.0 Mt 2023 111th of 181 FAOSTAT Potash fertiliser use 0.01 Mt 2024 89th of 199 FAOSTAT Phosphate fertiliser use 0.00 Mt 2024 114th of 199 FAOSTAT CO2 emissions 3 Mt 2024 150th of 214 Global Carbon Budget CO2 per person 0.1 t 2024 205th of 213 Global Carbon Budget CO2 emitted since 1750 51 Mt 2024 162nd of 214 Global Carbon Budget Water stress 0.9 2023 110th of 164 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water from abroad 67% 2023 25th of 193 FAO AQUASTAT Military spending, share of GDP 3.2% 2025 22nd of 150 World Bank Military spending $649 m 2025 90th of 150 World Bank Deaths in organised violence 174 2025 32nd of 61 UCDP Arms imports 4 TIV m 2025 94th of 108 SIPRI People using the internet 13% 2024 180th of 182 World Bank Sanctions list entries (US, EU, UK) 2 2026 155th of 181 US CSL Chinese loans and grants committed $4 m 2021 102nd 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, 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 US Consolidated Screening List Sanctions list entries, Sanctions AidData Chinese development finance Chinese loans and grants EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents