1 Dependencies at a glance Sudan imports all of its potash supply and 54% 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 54% of the oil it usesEIA, use 2024 · UN Comtrade, imports 2025 No partner data from the source Natural gas – Uses no gas, by this source EIA, 2024 No partner data from the source Wheat Imports 85% of the wheat it usesFAOSTAT, use 2014 · FAOSTAT, imports 2023 No partner data from the source Maize Imports 17% of the maize it uses FAOSTAT, use 2024 · FAOSTAT, imports 2023 No partner data from the source Rice Imports 91% of the rice it usesFAOSTAT, 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: Kyrgyzstan, 59% of importsSIPRI, 2021–2025 Kyrgyzstan , Türkiye , 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 Imports 54% of the oil it uses
Main partners: No partner data from the source
EIA, use 2024 · UN Comtrade, imports 2025
Natural gas Uses no gas, by this source
Main partners: No partner data from the source
EIA, 2024
Wheat Imports 85% of the wheat it uses
Main partners: No partner data from the source
FAOSTAT, use 2014 · FAOSTAT, imports 2023
Maize Imports 17% of the maize it uses
Main partners: No partner data from the source
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Rice Imports 91% of the rice it uses
Main partners: No partner data from the source
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: No partner data from the source
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
ArmsSupplier concentration only Main supplier: Kyrgyzstan, 59% of imports
Main partners: Kyrgyzstan, Türkiye, United Arab Emirates
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 2025
Sudan’s economy produced $60 bn in 2025.
GDP, 2000–2025 $0 $20 bn $40 bn $60 bn $80 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 3.1% 2025 · 101st of 186 · World Bank
Trade 2% of GDP 2024 · 172nd of 172 · World Bank
Foreign investment in US$1,900 2025 · 183rd of 200 · World Bank
Sudan had 52 m people in 2025.
Population, 1950–2100 0 50 m 100 m 150 m 200 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Sudan’s population by age Men Women 0–4, men: 0.58 million 5–9, men: 0.45 million 10–14, men: 0.38 million 15–19, men: 0.33 million 20–24, men: 0.28 million 25–29, men: 0.24 million 30–34, men: 0.18 million 35–39, men: 0.15 million 40–44, men: 0.12 million 45–49, men: 0.1 million 50–54, men: 0.08 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: 0.01 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: 0.57 million 5–9, women: 0.45 million 10–14, women: 0.38 million 15–19, women: 0.32 million 20–24, women: 0.28 million 25–29, women: 0.24 million 30–34, women: 0.18 million 35–39, women: 0.15 million 40–44, women: 0.12 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: 0.04 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 5m 0 5m Men Women 0–4, men: 0.69 million 5–9, men: 0.53 million 10–14, men: 0.44 million 15–19, men: 0.37 million 20–24, men: 0.32 million 25–29, men: 0.27 million 30–34, men: 0.23 million 35–39, men: 0.17 million 40–44, men: 0.14 million 45–49, men: 0.11 million 50–54, men: 0.09 million 55–59, men: 0.07 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: 0.68 million 5–9, women: 0.52 million 10–14, women: 0.43 million 15–19, women: 0.37 million 20–24, women: 0.31 million 25–29, women: 0.27 million 30–34, women: 0.23 million 35–39, women: 0.17 million 40–44, women: 0.14 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 5m 0 5m Men Women 0–4, men: 0.81 million 5–9, men: 0.64 million 10–14, men: 0.52 million 15–19, men: 0.43 million 20–24, men: 0.36 million 25–29, men: 0.3 million 30–34, men: 0.26 million 35–39, men: 0.22 million 40–44, men: 0.17 million 45–49, men: 0.13 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: 0.79 million 5–9, women: 0.62 million 10–14, women: 0.51 million 15–19, women: 0.42 million 20–24, women: 0.36 million 25–29, women: 0.3 million 30–34, women: 0.26 million 35–39, women: 0.22 million 40–44, women: 0.16 million 45–49, women: 0.13 million 50–54, women: 0.11 million 55–59, women: 0.09 million 60–64, women: 0.07 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 5m 0 5m Men Women 0–4, men: 0.97 million 5–9, men: 0.75 million 10–14, men: 0.62 million 15–19, men: 0.51 million 20–24, men: 0.42 million 25–29, men: 0.35 million 30–34, men: 0.29 million 35–39, men: 0.25 million 40–44, men: 0.21 million 45–49, men: 0.16 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: 0.94 million 5–9, women: 0.74 million 10–14, women: 0.61 million 15–19, women: 0.5 million 20–24, women: 0.41 million 25–29, women: 0.35 million 30–34, women: 0.3 million 35–39, women: 0.25 million 40–44, women: 0.21 million 45–49, women: 0.16 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: 0.03 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 5m 0 5m Men Women 0–4, men: 1.2 million 5–9, men: 0.9 million 10–14, men: 0.74 million 15–19, men: 0.61 million 20–24, men: 0.49 million 25–29, men: 0.41 million 30–34, men: 0.34 million 35–39, men: 0.28 million 40–44, men: 0.24 million 45–49, men: 0.2 million 50–54, men: 0.15 million 55–59, men: 0.11 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: 1.1 million 5–9, women: 0.88 million 10–14, women: 0.72 million 15–19, women: 0.6 million 20–24, women: 0.49 million 25–29, women: 0.4 million 30–34, women: 0.34 million 35–39, women: 0.29 million 40–44, women: 0.24 million 45–49, women: 0.2 million 50–54, women: 0.15 million 55–59, women: 0.12 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: 0.01 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 5m 0 5m Men Women 0–4, men: 1.4 million 5–9, men: 1.1 million 10–14, men: 0.91 million 15–19, men: 0.75 million 20–24, men: 0.61 million 25–29, men: 0.49 million 30–34, men: 0.39 million 35–39, men: 0.33 million 40–44, men: 0.27 million 45–49, men: 0.23 million 50–54, men: 0.19 million 55–59, men: 0.14 million 60–64, men: 0.1 million 65–69, men: 0.07 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: 1.4 million 5–9, women: 1.1 million 10–14, women: 0.88 million 15–19, women: 0.72 million 20–24, women: 0.59 million 25–29, women: 0.47 million 30–34, women: 0.39 million 35–39, women: 0.33 million 40–44, women: 0.28 million 45–49, women: 0.23 million 50–54, women: 0.19 million 55–59, women: 0.14 million 60–64, women: 0.11 million 65–69, women: 0.08 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 5m 0 5m Men Women 0–4, men: 1.6 million 5–9, men: 1.3 million 10–14, men: 1.1 million 15–19, men: 0.92 million 20–24, men: 0.77 million 25–29, men: 0.64 million 30–34, men: 0.52 million 35–39, men: 0.41 million 40–44, men: 0.33 million 45–49, men: 0.26 million 50–54, men: 0.21 million 55–59, men: 0.18 million 60–64, men: 0.13 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: 1.6 million 5–9, women: 1.3 million 10–14, women: 1.1 million 15–19, women: 0.9 million 20–24, women: 0.78 million 25–29, women: 0.64 million 30–34, women: 0.5 million 35–39, women: 0.39 million 40–44, women: 0.31 million 45–49, women: 0.25 million 50–54, women: 0.21 million 55–59, women: 0.17 million 60–64, women: 0.13 million 65–69, women: 0.09 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 5m 0 5m Men Women 0–4, men: 1.9 million 5–9, men: 1.5 million 10–14, men: 1.3 million 15–19, men: 1.1 million 20–24, men: 0.88 million 25–29, men: 0.75 million 30–34, men: 0.64 million 35–39, men: 0.51 million 40–44, men: 0.4 million 45–49, men: 0.3 million 50–54, men: 0.23 million 55–59, men: 0.19 million 60–64, men: 0.16 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: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 1.8 million 5–9, women: 1.5 million 10–14, women: 1.2 million 15–19, women: 1 million 20–24, women: 0.9 million 25–29, women: 0.79 million 30–34, women: 0.65 million 35–39, women: 0.48 million 40–44, women: 0.36 million 45–49, women: 0.28 million 50–54, women: 0.22 million 55–59, women: 0.19 million 60–64, women: 0.16 million 65–69, women: 0.11 million 70–74, women: 0.07 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 5m 0 5m Men Women 0–4, men: 2.1 million 5–9, men: 1.7 million 10–14, men: 1.4 million 15–19, men: 1.2 million 20–24, men: 0.95 million 25–29, men: 0.78 million 30–34, men: 0.69 million 35–39, men: 0.6 million 40–44, men: 0.46 million 45–49, men: 0.33 million 50–54, men: 0.24 million 55–59, men: 0.19 million 60–64, men: 0.17 million 65–69, men: 0.14 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 million 5–9, women: 1.6 million 10–14, women: 1.4 million 15–19, women: 1.1 million 20–24, women: 0.98 million 25–29, women: 0.86 million 30–34, women: 0.75 million 35–39, women: 0.59 million 40–44, women: 0.42 million 45–49, women: 0.3 million 50–54, women: 0.23 million 55–59, women: 0.19 million 60–64, women: 0.17 million 65–69, women: 0.14 million 70–74, women: 0.09 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 5m 0 5m Men Women 0–4, men: 2.3 million 5–9, men: 1.9 million 10–14, men: 1.6 million 15–19, men: 1.3 million 20–24, men: 1 million 25–29, men: 0.85 million 30–34, men: 0.73 million 35–39, men: 0.65 million 40–44, men: 0.55 million 45–49, men: 0.41 million 50–54, men: 0.28 million 55–59, men: 0.2 million 60–64, men: 0.17 million 65–69, men: 0.15 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: 2.2 million 5–9, women: 1.8 million 10–14, women: 1.5 million 15–19, women: 1.3 million 20–24, women: 1.1 million 25–29, women: 0.94 million 30–34, women: 0.82 million 35–39, women: 0.7 million 40–44, women: 0.53 million 45–49, women: 0.35 million 50–54, women: 0.25 million 55–59, women: 0.19 million 60–64, women: 0.18 million 65–69, women: 0.16 million 70–74, women: 0.12 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 5m 0 5m Men Women 0–4, men: 2.5 million 5–9, men: 2.2 million 10–14, men: 1.8 million 15–19, men: 1.5 million 20–24, men: 1.2 million 25–29, men: 0.94 million 30–34, men: 0.79 million 35–39, men: 0.7 million 40–44, men: 0.63 million 45–49, men: 0.52 million 50–54, men: 0.38 million 55–59, men: 0.25 million 60–64, men: 0.19 million 65–69, men: 0.15 million 70–74, men: 0.12 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: 2.4 million 5–9, women: 2.1 million 10–14, women: 1.7 million 15–19, women: 1.5 million 20–24, women: 1.2 million 25–29, women: 1.1 million 30–34, women: 0.9 million 35–39, women: 0.78 million 40–44, women: 0.64 million 45–49, women: 0.46 million 50–54, women: 0.3 million 55–59, women: 0.2 million 60–64, women: 0.16 million 65–69, women: 0.15 million 70–74, women: 0.13 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 5m 0 5m Men Women 0–4, men: 2.8 million 5–9, men: 2.4 million 10–14, men: 2 million 15–19, men: 1.7 million 20–24, men: 1.3 million 25–29, men: 1 million 30–34, men: 0.88 million 35–39, men: 0.76 million 40–44, men: 0.66 million 45–49, men: 0.58 million 50–54, men: 0.47 million 55–59, men: 0.34 million 60–64, men: 0.23 million 65–69, men: 0.16 million 70–74, men: 0.12 million 75–79, men: 0.08 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: 2.7 million 5–9, women: 2.3 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: 0.85 million 40–44, women: 0.71 million 45–49, women: 0.56 million 50–54, women: 0.4 million 55–59, women: 0.25 million 60–64, women: 0.17 million 65–69, women: 0.14 million 70–74, women: 0.12 million 75–79, women: 0.1 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 5m 0 5m Men Women 0–4, men: 3 million 5–9, men: 2.7 million 10–14, men: 2.3 million 15–19, men: 1.9 million 20–24, men: 1.5 million 25–29, men: 1.2 million 30–34, men: 0.96 million 35–39, men: 0.83 million 40–44, men: 0.72 million 45–49, men: 0.62 million 50–54, men: 0.54 million 55–59, men: 0.43 million 60–64, men: 0.3 million 65–69, men: 0.2 million 70–74, men: 0.13 million 75–79, men: 0.08 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: 2.9 million 5–9, women: 2.6 million 10–14, women: 2.3 million 15–19, women: 2 million 20–24, women: 1.6 million 25–29, women: 1.4 million 30–34, women: 1.1 million 35–39, women: 0.96 million 40–44, women: 0.8 million 45–49, women: 0.65 million 50–54, women: 0.51 million 55–59, women: 0.35 million 60–64, women: 0.22 million 65–69, women: 0.14 million 70–74, women: 0.12 million 75–79, women: 0.09 million 80–84, women: 0.06 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 5m 0 5m Men Women 0–4, men: 3.3 million 5–9, men: 2.9 million 10–14, men: 2.6 million 15–19, men: 2.3 million 20–24, men: 1.8 million 25–29, men: 1.4 million 30–34, men: 1.1 million 35–39, men: 0.89 million 40–44, men: 0.77 million 45–49, men: 0.68 million 50–54, men: 0.58 million 55–59, men: 0.5 million 60–64, men: 0.39 million 65–69, men: 0.26 million 70–74, men: 0.16 million 75–79, men: 0.09 million 80–84, men: 0.05 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: 2.9 million 10–14, women: 2.6 million 15–19, women: 2.2 million 20–24, women: 1.9 million 25–29, women: 1.5 million 30–34, women: 1.3 million 35–39, women: 1.1 million 40–44, women: 0.91 million 45–49, women: 0.76 million 50–54, women: 0.62 million 55–59, women: 0.48 million 60–64, women: 0.33 million 65–69, women: 0.19 million 70–74, women: 0.12 million 75–79, women: 0.09 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 5m 0 5m Men Women 0–4, men: 3.7 million 5–9, men: 3.2 million 10–14, men: 2.9 million 15–19, men: 2.6 million 20–24, men: 2.3 million 25–29, men: 1.9 million 30–34, men: 1.4 million 35–39, men: 1.1 million 40–44, men: 0.89 million 45–49, men: 0.76 million 50–54, men: 0.66 million 55–59, men: 0.55 million 60–64, men: 0.46 million 65–69, men: 0.34 million 70–74, men: 0.21 million 75–79, men: 0.12 million 80–84, men: 0.05 million 85–89, men: 0.02 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 3.6 million 5–9, women: 3.1 million 10–14, women: 2.9 million 15–19, women: 2.6 million 20–24, women: 2.2 million 25–29, women: 1.9 million 30–34, women: 1.5 million 35–39, women: 1.3 million 40–44, women: 1.1 million 45–49, women: 0.91 million 50–54, women: 0.75 million 55–59, women: 0.6 million 60–64, women: 0.46 million 65–69, women: 0.3 million 70–74, women: 0.17 million 75–79, women: 0.09 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 5m 0 5m Men Women 0–4, men: 3.9 million 5–9, men: 3.5 million 10–14, men: 3.1 million 15–19, men: 2.8 million 20–24, men: 2.4 million 25–29, men: 2.1 million 30–34, men: 1.8 million 35–39, men: 1.4 million 40–44, men: 1.1 million 45–49, men: 0.83 million 50–54, men: 0.7 million 55–59, men: 0.59 million 60–64, men: 0.49 million 65–69, men: 0.39 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: 3.8 million 5–9, women: 3.4 million 10–14, women: 3 million 15–19, women: 2.7 million 20–24, women: 2.4 million 25–29, women: 2.1 million 30–34, women: 1.8 million 35–39, women: 1.5 million 40–44, women: 1.2 million 45–49, women: 1 million 50–54, women: 0.85 million 55–59, women: 0.7 million 60–64, women: 0.55 million 65–69, women: 0.4 million 70–74, women: 0.24 million 75–79, women: 0.12 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 5m 0 5m Men Women 0–4, men: 4.2 million 5–9, men: 3.9 million 10–14, men: 3.5 million 15–19, men: 3 million 20–24, men: 2.6 million 25–29, men: 2.4 million 30–34, men: 2.2 million 35–39, men: 1.8 million 40–44, men: 1.4 million 45–49, men: 1.1 million 50–54, men: 0.81 million 55–59, men: 0.67 million 60–64, men: 0.55 million 65–69, men: 0.43 million 70–74, men: 0.31 million 75–79, men: 0.19 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: 4.1 million 5–9, women: 3.8 million 10–14, women: 3.4 million 15–19, women: 3 million 20–24, women: 2.6 million 25–29, women: 2.4 million 30–34, women: 2.2 million 35–39, women: 1.8 million 40–44, women: 1.5 million 45–49, women: 1.2 million 50–54, women: 0.99 million 55–59, women: 0.83 million 60–64, women: 0.66 million 65–69, women: 0.5 million 70–74, women: 0.35 million 75–79, women: 0.19 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 5m 0 5m Men Women 0–4, men: 4.3 million 5–9, men: 4.1 million 10–14, men: 3.8 million 15–19, men: 3.4 million 20–24, men: 2.8 million 25–29, men: 2.5 million 30–34, men: 2.4 million 35–39, men: 2.1 million 40–44, men: 1.7 million 45–49, men: 1.3 million 50–54, men: 1 million 55–59, men: 0.76 million 60–64, men: 0.61 million 65–69, men: 0.48 million 70–74, men: 0.35 million 75–79, men: 0.23 million 80–84, men: 0.11 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: 4.2 million 5–9, women: 4 million 10–14, women: 3.7 million 15–19, women: 3.4 million 20–24, women: 2.8 million 25–29, women: 2.5 million 30–34, women: 2.4 million 35–39, women: 2.2 million 40–44, women: 1.8 million 45–49, women: 1.5 million 50–54, women: 1.2 million 55–59, women: 0.96 million 60–64, women: 0.78 million 65–69, women: 0.6 million 70–74, women: 0.43 million 75–79, women: 0.27 million 80–84, women: 0.13 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 5m 0 5m Men Women 0–4, men: 4.4 million 5–9, men: 4.2 million 10–14, men: 4 million 15–19, men: 3.7 million 20–24, men: 3.2 million 25–29, men: 2.7 million 30–34, men: 2.5 million 35–39, men: 2.3 million 40–44, men: 2.1 million 45–49, men: 1.7 million 50–54, men: 1.3 million 55–59, men: 0.97 million 60–64, men: 0.7 million 65–69, men: 0.54 million 70–74, men: 0.39 million 75–79, men: 0.25 million 80–84, men: 0.13 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: 4.3 million 5–9, women: 4.2 million 10–14, women: 4 million 15–19, women: 3.7 million 20–24, women: 3.2 million 25–29, women: 2.7 million 30–34, women: 2.5 million 35–39, women: 2.4 million 40–44, women: 2.2 million 45–49, women: 1.8 million 50–54, women: 1.4 million 55–59, women: 1.2 million 60–64, women: 0.91 million 65–69, women: 0.71 million 70–74, women: 0.52 million 75–79, women: 0.33 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 5m 0 5m Men Women 0–4, men: 4.6 million 5–9, men: 4.4 million 10–14, men: 4.2 million 15–19, men: 4 million 20–24, men: 3.5 million 25–29, men: 3.1 million 30–34, men: 2.7 million 35–39, men: 2.5 million 40–44, men: 2.3 million 45–49, men: 2.1 million 50–54, men: 1.6 million 55–59, men: 1.2 million 60–64, men: 0.89 million 65–69, men: 0.62 million 70–74, men: 0.44 million 75–79, men: 0.28 million 80–84, men: 0.15 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: 4.5 million 5–9, women: 4.3 million 10–14, women: 4.1 million 15–19, women: 3.9 million 20–24, women: 3.5 million 25–29, women: 3.1 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: 1.4 million 60–64, women: 1.1 million 65–69, women: 0.84 million 70–74, women: 0.62 million 75–79, women: 0.41 million 80–84, women: 0.22 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 5m 0 5m Men Women 0–4, men: 4.8 million 5–9, men: 4.5 million 10–14, men: 4.3 million 15–19, men: 4.1 million 20–24, men: 3.7 million 25–29, men: 3.4 million 30–34, men: 3.1 million 35–39, men: 2.7 million 40–44, men: 2.5 million 45–49, men: 2.3 million 50–54, men: 2 million 55–59, men: 1.6 million 60–64, men: 1.1 million 65–69, men: 0.79 million 70–74, men: 0.51 million 75–79, men: 0.32 million 80–84, men: 0.17 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: 4.7 million 5–9, women: 4.4 million 10–14, women: 4.3 million 15–19, women: 4.1 million 20–24, women: 3.7 million 25–29, women: 3.4 million 30–34, women: 3.1 million 35–39, women: 2.8 million 40–44, women: 2.6 million 45–49, women: 2.4 million 50–54, women: 2.1 million 55–59, women: 1.7 million 60–64, women: 1.3 million 65–69, women: 1 million 70–74, women: 0.73 million 75–79, women: 0.49 million 80–84, women: 0.27 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 5m 0 5m Men Women 0–4, men: 4.9 million 5–9, men: 4.7 million 10–14, men: 4.5 million 15–19, men: 4.2 million 20–24, men: 3.9 million 25–29, men: 3.6 million 30–34, men: 3.4 million 35–39, men: 3.1 million 40–44, men: 2.7 million 45–49, men: 2.4 million 50–54, men: 2.2 million 55–59, men: 1.9 million 60–64, men: 1.4 million 65–69, men: 0.99 million 70–74, men: 0.65 million 75–79, men: 0.37 million 80–84, men: 0.19 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: 4.8 million 5–9, women: 4.6 million 10–14, women: 4.4 million 15–19, women: 4.2 million 20–24, women: 3.9 million 25–29, women: 3.6 million 30–34, women: 3.4 million 35–39, women: 3.2 million 40–44, women: 2.8 million 45–49, women: 2.5 million 50–54, women: 2.3 million 55–59, women: 2 million 60–64, women: 1.6 million 65–69, women: 1.2 million 70–74, women: 0.89 million 75–79, women: 0.58 million 80–84, women: 0.33 million 85–89, women: 0.14 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 5m 0 5m Men Women 0–4, men: 5 million 5–9, men: 4.9 million 10–14, men: 4.7 million 15–19, men: 4.4 million 20–24, men: 4 million 25–29, men: 3.8 million 30–34, men: 3.6 million 35–39, men: 3.4 million 40–44, men: 3.1 million 45–49, men: 2.7 million 50–54, men: 2.4 million 55–59, men: 2.1 million 60–64, men: 1.8 million 65–69, men: 1.3 million 70–74, men: 0.82 million 75–79, men: 0.47 million 80–84, men: 0.23 million 85–89, men: 0.09 million 90–94, men: 0.02 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 4.9 million 5–9, women: 4.8 million 10–14, women: 4.6 million 15–19, women: 4.4 million 20–24, women: 4 million 25–29, women: 3.8 million 30–34, women: 3.7 million 35–39, women: 3.5 million 40–44, women: 3.1 million 45–49, women: 2.8 million 50–54, women: 2.5 million 55–59, women: 2.3 million 60–64, women: 2 million 65–69, women: 1.5 million 70–74, women: 1.1 million 75–79, women: 0.71 million 80–84, women: 0.4 million 85–89, women: 0.18 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 5m 0 5m Men Women 0–4, men: 5 million 5–9, men: 5 million 10–14, men: 4.8 million 15–19, men: 4.6 million 20–24, men: 4.1 million 25–29, men: 3.9 million 30–34, men: 3.8 million 35–39, men: 3.6 million 40–44, men: 3.4 million 45–49, men: 3 million 50–54, men: 2.6 million 55–59, men: 2.3 million 60–64, men: 1.9 million 65–69, men: 1.6 million 70–74, men: 1.1 million 75–79, men: 0.61 million 80–84, men: 0.29 million 85–89, men: 0.1 million 90–94, men: 0.03 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 4.9 million 5–9, women: 4.9 million 10–14, women: 4.7 million 15–19, women: 4.5 million 20–24, women: 4.1 million 25–29, women: 3.9 million 30–34, women: 3.8 million 35–39, women: 3.7 million 40–44, women: 3.5 million 45–49, women: 3.1 million 50–54, women: 2.7 million 55–59, women: 2.4 million 60–64, women: 2.2 million 65–69, women: 1.8 million 70–74, women: 1.4 million 75–79, women: 0.87 million 80–84, women: 0.49 million 85–89, women: 0.22 million 90–94, women: 0.07 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 5m 0 5m Men Women 0–4, men: 5.1 million 5–9, men: 5 million 10–14, men: 4.9 million 15–19, men: 4.7 million 20–24, men: 4.3 million 25–29, men: 4 million 30–34, men: 3.9 million 35–39, men: 3.8 million 40–44, men: 3.6 million 45–49, men: 3.3 million 50–54, men: 2.9 million 55–59, men: 2.5 million 60–64, men: 2.1 million 65–69, men: 1.7 million 70–74, men: 1.3 million 75–79, men: 0.8 million 80–84, men: 0.38 million 85–89, men: 0.14 million 90–94, men: 0.03 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 4.9 million 5–9, women: 4.9 million 10–14, women: 4.8 million 15–19, women: 4.7 million 20–24, women: 4.3 million 25–29, women: 4 million 30–34, women: 3.9 million 35–39, women: 3.8 million 40–44, women: 3.7 million 45–49, women: 3.4 million 50–54, women: 3.1 million 55–59, women: 2.6 million 60–64, women: 2.3 million 65–69, women: 2 million 70–74, women: 1.6 million 75–79, women: 1.1 million 80–84, women: 0.61 million 85–89, women: 0.28 million 90–94, women: 0.09 million 95–99, women: 0.02 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 5m 0 5m Men Women 0–4, men: 5.1 million 5–9, men: 5 million 10–14, men: 5 million 15–19, men: 4.8 million 20–24, men: 4.5 million 25–29, men: 4.2 million 30–34, men: 4 million 35–39, men: 3.9 million 40–44, men: 3.8 million 45–49, men: 3.6 million 50–54, men: 3.3 million 55–59, men: 2.8 million 60–64, men: 2.3 million 65–69, men: 1.9 million 70–74, men: 1.5 million 75–79, men: 0.98 million 80–84, men: 0.5 million 85–89, men: 0.18 million 90–94, men: 0.04 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 4.9 million 5–9, women: 4.9 million 10–14, women: 4.8 million 15–19, women: 4.8 million 20–24, women: 4.4 million 25–29, women: 4.2 million 30–34, women: 4.1 million 35–39, women: 3.9 million 40–44, women: 3.8 million 45–49, women: 3.7 million 50–54, women: 3.4 million 55–59, women: 3 million 60–64, women: 2.5 million 65–69, women: 2.2 million 70–74, women: 1.8 million 75–79, women: 1.3 million 80–84, women: 0.79 million 85–89, women: 0.35 million 90–94, women: 0.11 million 95–99, women: 0.02 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 5m 0 5m Men Women 0–4, men: 5.1 million 5–9, men: 5 million 10–14, men: 5 million 15–19, men: 4.9 million 20–24, men: 4.5 million 25–29, men: 4.3 million 30–34, men: 4.2 million 35–39, men: 4.1 million 40–44, men: 3.9 million 45–49, men: 3.7 million 50–54, men: 3.5 million 55–59, men: 3.1 million 60–64, men: 2.6 million 65–69, men: 2.1 million 70–74, men: 1.6 million 75–79, men: 1.1 million 80–84, men: 0.63 million 85–89, men: 0.24 million 90–94, men: 0.06 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 4.9 million 5–9, women: 4.9 million 10–14, women: 4.9 million 15–19, women: 4.8 million 20–24, women: 4.5 million 25–29, women: 4.3 million 30–34, women: 4.2 million 35–39, women: 4.1 million 40–44, women: 4 million 45–49, women: 3.8 million 50–54, women: 3.6 million 55–59, women: 3.3 million 60–64, women: 2.9 million 65–69, women: 2.4 million 70–74, women: 2 million 75–79, women: 1.5 million 80–84, women: 0.97 million 85–89, women: 0.46 million 90–94, women: 0.15 million 95–99, women: 0.03 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 5m 0 5m Men Women 0–4, men: 5.1 million 5–9, men: 5 million 10–14, men: 5 million 15–19, men: 4.9 million 20–24, men: 4.6 million 25–29, men: 4.4 million 30–34, men: 4.4 million 35–39, men: 4.2 million 40–44, men: 4 million 45–49, men: 3.8 million 50–54, men: 3.6 million 55–59, men: 3.3 million 60–64, men: 2.9 million 65–69, men: 2.4 million 70–74, men: 1.8 million 75–79, men: 1.2 million 80–84, men: 0.71 million 85–89, men: 0.31 million 90–94, men: 0.08 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 4.9 million 5–9, women: 4.9 million 10–14, women: 4.9 million 15–19, women: 4.8 million 20–24, women: 4.5 million 25–29, women: 4.4 million 30–34, women: 4.4 million 35–39, women: 4.3 million 40–44, women: 4.1 million 45–49, women: 3.9 million 50–54, women: 3.8 million 55–59, women: 3.6 million 60–64, women: 3.2 million 65–69, women: 2.8 million 70–74, women: 2.2 million 75–79, women: 1.7 million 80–84, women: 1.1 million 85–89, women: 0.58 million 90–94, women: 0.2 million 95–99, women: 0.04 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 5m 0 5m Men Women 0–4, men: 5 million 5–9, men: 5 million 10–14, men: 5 million 15–19, men: 4.9 million 20–24, men: 4.6 million 25–29, men: 4.4 million 30–34, men: 4.5 million 35–39, men: 4.4 million 40–44, men: 4.2 million 45–49, men: 4 million 50–54, men: 3.8 million 55–59, men: 3.5 million 60–64, men: 3.2 million 65–69, men: 2.7 million 70–74, men: 2.1 million 75–79, men: 1.4 million 80–84, men: 0.8 million 85–89, men: 0.36 million 90–94, men: 0.1 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 4.9 million 5–9, women: 4.9 million 10–14, women: 4.9 million 15–19, women: 4.8 million 20–24, women: 4.5 million 25–29, women: 4.4 million 30–34, women: 4.5 million 35–39, women: 4.4 million 40–44, women: 4.3 million 45–49, women: 4.1 million 50–54, women: 3.9 million 55–59, women: 3.7 million 60–64, women: 3.5 million 65–69, women: 3.1 million 70–74, women: 2.5 million 75–79, women: 1.8 million 80–84, women: 1.2 million 85–89, women: 0.68 million 90–94, women: 0.26 million 95–99, women: 0.05 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 5m 0 5m Men Women 0–4, men: 5 million 5–9, men: 5 million 10–14, men: 5 million 15–19, men: 4.9 million 20–24, men: 4.6 million 25–29, men: 4.4 million 30–34, men: 4.5 million 35–39, men: 4.5 million 40–44, men: 4.4 million 45–49, men: 4.2 million 50–54, men: 3.9 million 55–59, men: 3.6 million 60–64, men: 3.3 million 65–69, men: 2.9 million 70–74, men: 2.3 million 75–79, men: 1.6 million 80–84, men: 0.91 million 85–89, men: 0.41 million 90–94, men: 0.12 million 95–99, men: 0.02 million 100+, men: 0 million 0–4, women: 4.8 million 5–9, women: 4.8 million 10–14, women: 4.9 million 15–19, women: 4.8 million 20–24, women: 4.5 million 25–29, women: 4.4 million 30–34, women: 4.5 million 35–39, women: 4.5 million 40–44, women: 4.4 million 45–49, women: 4.3 million 50–54, women: 4.1 million 55–59, women: 3.8 million 60–64, women: 3.6 million 65–69, women: 3.3 million 70–74, women: 2.8 million 75–79, women: 2.2 million 80–84, women: 1.4 million 85–89, women: 0.77 million 90–94, women: 0.31 million 95–99, women: 0.07 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 5m 0 5m Men Women 0–4, men: 4.9 million 5–9, men: 4.9 million 10–14, men: 5 million 15–19, men: 4.9 million 20–24, men: 4.6 million 25–29, men: 4.5 million 30–34, men: 4.5 million 35–39, men: 4.5 million 40–44, men: 4.5 million 45–49, men: 4.4 million 50–54, men: 4.1 million 55–59, men: 3.8 million 60–64, men: 3.4 million 65–69, men: 3 million 70–74, men: 2.5 million 75–79, men: 1.8 million 80–84, men: 1.1 million 85–89, men: 0.48 million 90–94, men: 0.14 million 95–99, men: 0.02 million 100+, men: 0 million 0–4, women: 4.7 million 5–9, women: 4.8 million 10–14, women: 4.8 million 15–19, women: 4.8 million 20–24, women: 4.5 million 25–29, women: 4.4 million 30–34, women: 4.5 million 35–39, women: 4.5 million 40–44, women: 4.5 million 45–49, women: 4.4 million 50–54, women: 4.2 million 55–59, women: 4 million 60–64, women: 3.7 million 65–69, women: 3.4 million 70–74, women: 3 million 75–79, women: 2.4 million 80–84, women: 1.7 million 85–89, women: 0.89 million 90–94, women: 0.36 million 95–99, women: 0.09 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 5m 0 5m 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 4.32 2023 · 17th of 237 · UN WPP 2024
Median age 18.3 2023 · 211th of 237 · UN WPP 2024
Aged 65 and over 3.4% 2025, Projection, medium variant · UN WPP 2024
Sudan emitted 17.8 Mt of CO2 from fossil fuels and cement in 2024.
Sudan’s CO2 emissions, million tonnes, 1990–2024 0 Mt 5 Mt 10 Mt 15 Mt 20 Mt 25 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 18Mt 2024 · 95th of 214 · Global Carbon Budget
CO2 per person 0.4t 2024 · 186th of 213 · Global Carbon Budget
CO2 since 1750 517Mt 2024 · 102nd of 214 · Global Carbon Budget
Shown only where a source covers Sudan.
Refugees 859,963 refugees and others in need of protection hosted, 2025
3.8 m from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 126 entries on the US, EU and UK lists give it as an address or nationality: US 43, EU 40 and UK 43
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$18.9billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents 3 publicly known incidents affecting Sudan, 2000–2024
Counts compare documented incidents, not how often a country is targeted. Who they were attributed to
Source: EuRepoC Global Dataset of Cyber Incidents 1.3.2 (4 Mar 2025), CC BY-NC 4.0 · 2000–2024
46 measures on this site have a recent figure for Sudan.
Measure Value Year Rank Source GDP $60 bn 2025 90th of 186 World Bank GDP per person $1,165 2025 169th of 186 World Bank Economic growth 3.1% 2025 101st of 186 World Bank Government debt 2025 2nd of 191 IMF World Economic Outlook, October 2026 Government budget balance 2025 115th of 195 IMF World Economic Outlook, October 2026 Current account balance 2025 169th of 194 IMF World Economic Outlook, October 2026 Trade 2% 2024 172nd of 172 World Bank Foreign investment in $1,900 2025 183rd of 200 World Bank Remittances received 0.0% 2024 155th of 162 World Bank Population 52 m 2025 30th of 216 World Bank Population with UN projections 50 m 2023 30th of 237 UN WPP 2024 Births per woman 4.32 2023 17th of 237 UN WPP 2024 Median age 18.3 2023 211th of 237 UN WPP 2024 Life expectancy 66.3 2023 201st of 237 UN WPP 2024 Refugees from the country 3.8 m 2025 5th of 206 UNHCR Refugees and others needing protection, by host 859,963 2025 16th of 176 UNHCR Refugees hosted per 1,000 people 16.6 2025 43rd of 176 UNHCR People displaced inside the country 9.1 m 2025 1st of 38 UNHCR Crude oil production 30 kb/d 2025 58th of 214 EIA Oil consumption 86 kb/d 2024 90th of 212 EIA Natural gas production 2024 97th of 213 EIA Natural gas consumption 0.0 bcm 2024 126th of 213 EIA Electricity generated 15 TWh 2024 97th of 193 Ember Low-carbon electricity 80% 2024 39th of 193 Ember Electricity from coal 0% 2024 82nd of 193 Ember Electricity from wind and solar 1.1% 2024 141st of 193 Ember Wheat production 0.5 Mt 2024 62nd of 123 FAOSTAT Wheat imports 0.1 Mt 2024 119th of 180 FAOSTAT Maize production 0.0 Mt 2024 122nd of 169 FAOSTAT Maize imports 0.0 Mt 2024 148th of 196 FAOSTAT Rice production 0.0 Mt 2024 89th of 135 FAOSTAT Rice imports 0.1 Mt 2024 83rd of 197 FAOSTAT Soybean imports 0.0 Mt 2024 161st of 179 FAOSTAT Potash fertiliser use 0.00 Mt 2024 137th of 199 FAOSTAT Phosphate fertiliser use 0.03 Mt 2024 72nd of 199 FAOSTAT CO2 emissions 18 Mt 2024 95th of 214 Global Carbon Budget CO2 per person 0.4 t 2024 186th of 213 Global Carbon Budget CO2 emitted since 1750 517 Mt 2024 102nd of 214 Global Carbon Budget Water stress 1.5 2023 90th of 164 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water from abroad 96% 2023 6th of 193 FAO AQUASTAT Deaths in organised violence 75,174 2025 2nd of 61 UCDP Arms imports 57 TIV m 2025 55th of 108 SIPRI ICT service exports $16 m 2024 132nd of 162 World Bank ICT service exports, share of service exports 6.6% 2024 84th of 162 World Bank Sanctions list entries (US, EU, UK) 126 2026 26th of 181 US CSL Chinese loans and grants committed $5 m 2021 99th of 122 AidData, Global Chinese Development Finance Dataset 3.0
Sources for this page World Bank Indicators GDP, GDP per person, Economic growth, Trade, Foreign investment in, Remittances, … 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