1 Dependencies at a glance South Sudan 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 85% of what it producesEIA, use 2024 · UN Comtrade, exports 2025, South Sudan → Malaysia, South Sudan → United Arab Emirates and South Sudan → Italy as reported by the exporter Malaysia , United Arab Emirates , Italy (buyers)Natural gas – Uses no gas, by this source EIA, 2024 No partner data from the source Wheat – Not reported by this source – Maize Imports 12% of the maize it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 No partner data from the source Rice Imports 22% of the rice it usesFAOSTAT, use 2024 · 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 Kenya , Uganda Phosphate Imports all of its phosphate supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 No partner data from the source Arms – Supplier concentration only Main supplier: United Arab Emirates, 94% of importsSIPRI, 2021–2025 United Arab Emirates Chips – Supplier concentration only Main supplier: Kenya, 100% of importsUN Comtrade, 2025 Kenya
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 85% of what it produces
Main partners: Malaysia, United Arab Emirates, Italy (buyers)
EIA, use 2024 · UN Comtrade, exports 2025, South Sudan → Malaysia, South Sudan → United Arab Emirates and South Sudan → Italy as reported by the exporter
Natural gas Uses no gas, by this source
Main partners: No partner data from the source
EIA, 2024
Wheat Not reported by this source
Maize Imports 12% of the maize it uses
Main partners: No partner data from the source
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Rice Imports 22% of the rice it uses
Main partners: No partner data from the source
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Soybeans Not reported by this source
Potash Imports all of its potash supply
Main partners: Kenya, Uganda
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
Phosphate Imports all of its phosphate supply
Main partners: No partner data from the source
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
ArmsSupplier concentration only Main supplier: United Arab Emirates, 94% of imports
Main partners: United Arab Emirates
SIPRI, 2021–2025
ChipsSupplier concentration only Main supplier: Kenya, 100% of imports
Main partners: Kenya
UN Comtrade, 2025
GDP, 2008–2015 $0 $5.0 bn $10 bn $15 bn $20 bn 2008 2009 2010 2011 2012 2013 2014 2015 Source: World Bank Indicators · 2008–2015 · Updated 13 Nov 2026
Inflation 91.4% 2024 · 2nd of 176 · World Bank
Unemployment 12.4% 2023 · 23rd of 183 · World Bank
Reserves US$16million 2024 · 164th of 164 · World Bank
Foreign investment in US$73million 2025 · 153rd of 200 · World Bank
South Sudan had 12 m people in 2025.
Population, 1950–2100 0 10 m 20 m 30 m 40 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
South Sudan’s population by age Men Women 0–4, men: 0.22 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: 0.08 million 35–39, men: 0.07 million 40–44, men: 0.06 million 45–49, men: 0.05 million 50–54, men: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.21 million 5–9, women: 0.17 million 10–14, women: 0.14 million 15–19, women: 0.13 million 20–24, women: 0.11 million 25–29, women: 0.09 million 30–34, women: 0.08 million 35–39, women: 0.06 million 40–44, women: 0.05 million 45–49, women: 0.04 million 50–54, women: 0.04 million 55–59, women: 0.03 million 60–64, women: 0.02 million 65–69, women: 0.02 million 70–74, women: 0.01 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.23 million 5–9, men: 0.18 million 10–14, men: 0.16 million 15–19, men: 0.14 million 20–24, men: 0.12 million 25–29, men: 0.1 million 30–34, men: 0.09 million 35–39, men: 0.07 million 40–44, men: 0.06 million 45–49, men: 0.05 million 50–54, men: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.23 million 5–9, women: 0.18 million 10–14, women: 0.16 million 15–19, women: 0.14 million 20–24, women: 0.12 million 25–29, women: 0.1 million 30–34, women: 0.09 million 35–39, women: 0.07 million 40–44, women: 0.06 million 45–49, women: 0.05 million 50–54, women: 0.04 million 55–59, women: 0.03 million 60–64, women: 0.03 million 65–69, women: 0.02 million 70–74, women: 0.01 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.26 million 5–9, men: 0.19 million 10–14, men: 0.17 million 15–19, men: 0.15 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: 0.05 million 50–54, men: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 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: 0.26 million 5–9, women: 0.19 million 10–14, women: 0.17 million 15–19, women: 0.15 million 20–24, women: 0.13 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: 0.06 million 50–54, women: 0.04 million 55–59, women: 0.04 million 60–64, women: 0.03 million 65–69, women: 0.02 million 70–74, women: 0.01 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.29 million 5–9, men: 0.22 million 10–14, men: 0.18 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: 0.07 million 45–49, men: 0.06 million 50–54, men: 0.05 million 55–59, men: 0.04 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.29 million 5–9, women: 0.22 million 10–14, women: 0.18 million 15–19, women: 0.16 million 20–24, women: 0.15 million 25–29, women: 0.12 million 30–34, women: 0.11 million 35–39, women: 0.09 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: 0.02 million 70–74, women: 0.01 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.32 million 5–9, men: 0.24 million 10–14, men: 0.2 million 15–19, men: 0.17 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: 0.07 million 45–49, men: 0.06 million 50–54, men: 0.05 million 55–59, men: 0.04 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.32 million 5–9, women: 0.24 million 10–14, women: 0.2 million 15–19, women: 0.17 million 20–24, women: 0.15 million 25–29, women: 0.14 million 30–34, women: 0.12 million 35–39, women: 0.1 million 40–44, women: 0.08 million 45–49, women: 0.07 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: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.37 million 5–9, men: 0.27 million 10–14, men: 0.23 million 15–19, men: 0.2 million 20–24, men: 0.16 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: 0.06 million 50–54, men: 0.05 million 55–59, men: 0.04 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.37 million 5–9, women: 0.27 million 10–14, women: 0.23 million 15–19, women: 0.2 million 20–24, women: 0.17 million 25–29, women: 0.15 million 30–34, women: 0.13 million 35–39, women: 0.11 million 40–44, women: 0.09 million 45–49, women: 0.08 million 50–54, women: 0.06 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 1m 0 1m Men Women 0–4, men: 0.42 million 5–9, men: 0.32 million 10–14, men: 0.26 million 15–19, men: 0.22 million 20–24, men: 0.19 million 25–29, men: 0.15 million 30–34, men: 0.12 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: 0.05 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.42 million 5–9, women: 0.32 million 10–14, women: 0.25 million 15–19, women: 0.22 million 20–24, women: 0.19 million 25–29, women: 0.16 million 30–34, women: 0.14 million 35–39, women: 0.12 million 40–44, women: 0.1 million 45–49, women: 0.09 million 50–54, women: 0.07 million 55–59, women: 0.05 million 60–64, women: 0.04 million 65–69, women: 0.03 million 70–74, women: 0.02 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.46 million 5–9, men: 0.36 million 10–14, men: 0.31 million 15–19, men: 0.24 million 20–24, men: 0.2 million 25–29, men: 0.17 million 30–34, men: 0.13 million 35–39, men: 0.11 million 40–44, men: 0.09 million 45–49, men: 0.08 million 50–54, men: 0.06 million 55–59, men: 0.05 million 60–64, men: 0.04 million 65–69, men: 0.03 million 70–74, men: 0.02 million 75–79, men: 0.01 million 80–84, men: 0 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: 0.36 million 10–14, women: 0.3 million 15–19, women: 0.24 million 20–24, women: 0.2 million 25–29, women: 0.17 million 30–34, women: 0.15 million 35–39, women: 0.13 million 40–44, women: 0.11 million 45–49, women: 0.09 million 50–54, women: 0.08 million 55–59, women: 0.06 million 60–64, women: 0.05 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 1m 0 1m Men Women 0–4, men: 0.42 million 5–9, men: 0.35 million 10–14, men: 0.31 million 15–19, men: 0.26 million 20–24, men: 0.21 million 25–29, men: 0.17 million 30–34, men: 0.14 million 35–39, men: 0.11 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: 0.01 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: 0.41 million 5–9, women: 0.35 million 10–14, women: 0.31 million 15–19, women: 0.26 million 20–24, women: 0.21 million 25–29, women: 0.17 million 30–34, women: 0.15 million 35–39, women: 0.12 million 40–44, women: 0.1 million 45–49, women: 0.09 million 50–54, women: 0.07 million 55–59, women: 0.06 million 60–64, women: 0.05 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 1m 0 1m Men Women 0–4, men: 0.53 million 5–9, men: 0.35 million 10–14, men: 0.32 million 15–19, men: 0.28 million 20–24, men: 0.24 million 25–29, men: 0.18 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: 0.04 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: 0.52 million 5–9, women: 0.35 million 10–14, women: 0.32 million 15–19, women: 0.29 million 20–24, women: 0.25 million 25–29, women: 0.2 million 30–34, women: 0.16 million 35–39, women: 0.13 million 40–44, women: 0.11 million 45–49, women: 0.09 million 50–54, women: 0.08 million 55–59, women: 0.06 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 1m 0 1m Men Women 0–4, men: 0.59 million 5–9, men: 0.46 million 10–14, men: 0.32 million 15–19, men: 0.31 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: 0.02 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: 0.58 million 5–9, women: 0.46 million 10–14, women: 0.33 million 15–19, women: 0.31 million 20–24, women: 0.29 million 25–29, women: 0.25 million 30–34, women: 0.2 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: 0.05 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 1m 0 1m Men Women 0–4, men: 0.72 million 5–9, men: 0.56 million 10–14, men: 0.46 million 15–19, men: 0.33 million 20–24, men: 0.33 million 25–29, men: 0.31 million 30–34, men: 0.26 million 35–39, men: 0.2 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: 0.05 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: 0.71 million 5–9, women: 0.55 million 10–14, women: 0.45 million 15–19, women: 0.34 million 20–24, women: 0.35 million 25–29, women: 0.33 million 30–34, women: 0.28 million 35–39, women: 0.22 million 40–44, women: 0.17 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: 0.03 million 75–79, women: 0.02 million 80–84, women: 0.01 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.85 million 5–9, men: 0.7 million 10–14, men: 0.56 million 15–19, men: 0.48 million 20–24, men: 0.39 million 25–29, men: 0.4 million 30–34, men: 0.37 million 35–39, men: 0.3 million 40–44, men: 0.22 million 45–49, men: 0.16 million 50–54, men: 0.12 million 55–59, men: 0.09 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: 0.83 million 5–9, women: 0.69 million 10–14, women: 0.55 million 15–19, women: 0.47 million 20–24, women: 0.4 million 25–29, women: 0.42 million 30–34, women: 0.38 million 35–39, women: 0.32 million 40–44, women: 0.24 million 45–49, women: 0.18 million 50–54, women: 0.14 million 55–59, women: 0.1 million 60–64, women: 0.08 million 65–69, women: 0.06 million 70–74, women: 0.04 million 75–79, women: 0.02 million 80–84, women: 0.01 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.93 million 5–9, men: 0.81 million 10–14, men: 0.69 million 15–19, men: 0.53 million 20–24, men: 0.45 million 25–29, men: 0.38 million 30–34, men: 0.39 million 35–39, men: 0.36 million 40–44, men: 0.29 million 45–49, men: 0.21 million 50–54, men: 0.15 million 55–59, men: 0.11 million 60–64, men: 0.08 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: 0.9 million 5–9, women: 0.79 million 10–14, women: 0.67 million 15–19, women: 0.52 million 20–24, women: 0.45 million 25–29, women: 0.4 million 30–34, women: 0.41 million 35–39, women: 0.38 million 40–44, women: 0.31 million 45–49, women: 0.23 million 50–54, women: 0.17 million 55–59, women: 0.13 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 1m 0 1m Men Women 0–4, men: 0.72 million 5–9, men: 0.81 million 10–14, men: 0.77 million 15–19, men: 0.64 million 20–24, men: 0.43 million 25–29, men: 0.31 million 30–34, men: 0.26 million 35–39, men: 0.3 million 40–44, men: 0.28 million 45–49, men: 0.23 million 50–54, men: 0.17 million 55–59, men: 0.12 million 60–64, men: 0.09 million 65–69, men: 0.06 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: 0.7 million 5–9, women: 0.79 million 10–14, women: 0.75 million 15–19, women: 0.63 million 20–24, women: 0.42 million 25–29, women: 0.32 million 30–34, women: 0.29 million 35–39, women: 0.33 million 40–44, women: 0.32 million 45–49, women: 0.26 million 50–54, women: 0.2 million 55–59, women: 0.14 million 60–64, women: 0.11 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 1m 0 1m Men Women 0–4, men: 0.8 million 5–9, men: 0.72 million 10–14, men: 0.83 million 15–19, men: 0.78 million 20–24, men: 0.65 million 25–29, men: 0.43 million 30–34, men: 0.31 million 35–39, men: 0.26 million 40–44, men: 0.29 million 45–49, men: 0.28 million 50–54, men: 0.23 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: 0.78 million 5–9, women: 0.7 million 10–14, women: 0.81 million 15–19, women: 0.77 million 20–24, women: 0.64 million 25–29, women: 0.43 million 30–34, women: 0.32 million 35–39, women: 0.29 million 40–44, women: 0.33 million 45–49, women: 0.31 million 50–54, women: 0.26 million 55–59, women: 0.19 million 60–64, women: 0.14 million 65–69, women: 0.1 million 70–74, women: 0.06 million 75–79, women: 0.04 million 80–84, women: 0.02 million 85–89, women: 0.01 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.89 million 5–9, men: 0.77 million 10–14, men: 0.7 million 15–19, men: 0.81 million 20–24, men: 0.77 million 25–29, men: 0.63 million 30–34, men: 0.41 million 35–39, men: 0.3 million 40–44, men: 0.25 million 45–49, men: 0.28 million 50–54, men: 0.26 million 55–59, men: 0.21 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: 0.86 million 5–9, women: 0.75 million 10–14, women: 0.69 million 15–19, women: 0.8 million 20–24, women: 0.77 million 25–29, women: 0.63 million 30–34, women: 0.42 million 35–39, women: 0.32 million 40–44, women: 0.28 million 45–49, women: 0.32 million 50–54, women: 0.3 million 55–59, women: 0.25 million 60–64, women: 0.18 million 65–69, women: 0.12 million 70–74, women: 0.08 million 75–79, women: 0.04 million 80–84, women: 0.02 million 85–89, women: 0.01 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.95 million 5–9, men: 0.85 million 10–14, men: 0.75 million 15–19, men: 0.69 million 20–24, men: 0.8 million 25–29, men: 0.75 million 30–34, men: 0.61 million 35–39, men: 0.4 million 40–44, men: 0.29 million 45–49, men: 0.23 million 50–54, men: 0.26 million 55–59, men: 0.24 million 60–64, men: 0.19 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: 0.93 million 5–9, women: 0.84 million 10–14, women: 0.74 million 15–19, women: 0.69 million 20–24, women: 0.8 million 25–29, women: 0.76 million 30–34, women: 0.62 million 35–39, women: 0.41 million 40–44, women: 0.31 million 45–49, women: 0.27 million 50–54, women: 0.31 million 55–59, women: 0.29 million 60–64, women: 0.23 million 65–69, women: 0.16 million 70–74, women: 0.1 million 75–79, women: 0.06 million 80–84, women: 0.03 million 85–89, women: 0.01 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.96 million 5–9, men: 0.92 million 10–14, men: 0.84 million 15–19, men: 0.74 million 20–24, men: 0.68 million 25–29, men: 0.78 million 30–34, men: 0.73 million 35–39, men: 0.59 million 40–44, men: 0.39 million 45–49, men: 0.27 million 50–54, men: 0.22 million 55–59, men: 0.24 million 60–64, men: 0.21 million 65–69, men: 0.16 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: 0.93 million 5–9, women: 0.9 million 10–14, women: 0.83 million 15–19, women: 0.74 million 20–24, women: 0.69 million 25–29, women: 0.79 million 30–34, women: 0.74 million 35–39, women: 0.61 million 40–44, women: 0.4 million 45–49, women: 0.3 million 50–54, women: 0.26 million 55–59, women: 0.29 million 60–64, women: 0.26 million 65–69, women: 0.2 million 70–74, women: 0.13 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 1m 0 1m Men Women 0–4, men: 0.94 million 5–9, men: 0.93 million 10–14, men: 0.91 million 15–19, men: 0.83 million 20–24, men: 0.73 million 25–29, men: 0.67 million 30–34, men: 0.76 million 35–39, men: 0.7 million 40–44, men: 0.57 million 45–49, men: 0.37 million 50–54, men: 0.26 million 55–59, men: 0.2 million 60–64, men: 0.22 million 65–69, men: 0.18 million 70–74, men: 0.12 million 75–79, men: 0.06 million 80–84, men: 0.03 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.92 million 5–9, women: 0.91 million 10–14, women: 0.89 million 15–19, women: 0.82 million 20–24, women: 0.73 million 25–29, women: 0.68 million 30–34, women: 0.78 million 35–39, women: 0.73 million 40–44, women: 0.59 million 45–49, women: 0.39 million 50–54, women: 0.29 million 55–59, women: 0.25 million 60–64, women: 0.27 million 65–69, women: 0.23 million 70–74, women: 0.17 million 75–79, women: 0.09 million 80–84, women: 0.04 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 1m 0 1m Men Women 0–4, men: 0.93 million 5–9, men: 0.91 million 10–14, men: 0.91 million 15–19, men: 0.89 million 20–24, men: 0.82 million 25–29, men: 0.71 million 30–34, men: 0.65 million 35–39, men: 0.73 million 40–44, men: 0.68 million 45–49, men: 0.54 million 50–54, men: 0.35 million 55–59, men: 0.24 million 60–64, men: 0.18 million 65–69, men: 0.18 million 70–74, men: 0.14 million 75–79, men: 0.08 million 80–84, men: 0.03 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.91 million 5–9, women: 0.9 million 10–14, women: 0.9 million 15–19, women: 0.89 million 20–24, women: 0.82 million 25–29, women: 0.72 million 30–34, women: 0.67 million 35–39, women: 0.76 million 40–44, women: 0.71 million 45–49, women: 0.58 million 50–54, women: 0.37 million 55–59, women: 0.27 million 60–64, women: 0.23 million 65–69, women: 0.24 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 1m 0 1m Men Women 0–4, men: 0.93 million 5–9, men: 0.9 million 10–14, men: 0.9 million 15–19, men: 0.9 million 20–24, men: 0.88 million 25–29, men: 0.8 million 30–34, men: 0.69 million 35–39, men: 0.63 million 40–44, men: 0.71 million 45–49, men: 0.65 million 50–54, men: 0.51 million 55–59, men: 0.32 million 60–64, men: 0.21 million 65–69, men: 0.15 million 70–74, men: 0.14 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: 0.91 million 5–9, women: 0.89 million 10–14, women: 0.89 million 15–19, women: 0.89 million 20–24, women: 0.88 million 25–29, women: 0.81 million 30–34, women: 0.71 million 35–39, women: 0.65 million 40–44, women: 0.74 million 45–49, women: 0.69 million 50–54, women: 0.56 million 55–59, women: 0.35 million 60–64, women: 0.25 million 65–69, women: 0.2 million 70–74, women: 0.2 million 75–79, women: 0.14 million 80–84, women: 0.07 million 85–89, women: 0.03 million 90–94, women: 0.01 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.93 million 5–9, men: 0.9 million 10–14, men: 0.89 million 15–19, men: 0.89 million 20–24, men: 0.89 million 25–29, men: 0.86 million 30–34, men: 0.78 million 35–39, men: 0.67 million 40–44, men: 0.61 million 45–49, men: 0.68 million 50–54, men: 0.61 million 55–59, men: 0.47 million 60–64, men: 0.29 million 65–69, men: 0.18 million 70–74, men: 0.12 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: 0.91 million 5–9, women: 0.89 million 10–14, women: 0.88 million 15–19, women: 0.88 million 20–24, women: 0.89 million 25–29, women: 0.88 million 30–34, women: 0.8 million 35–39, women: 0.7 million 40–44, women: 0.64 million 45–49, women: 0.72 million 50–54, women: 0.67 million 55–59, women: 0.53 million 60–64, women: 0.33 million 65–69, women: 0.22 million 70–74, women: 0.17 million 75–79, women: 0.14 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 1m 0 1m Men Women 0–4, men: 0.92 million 5–9, men: 0.9 million 10–14, men: 0.89 million 15–19, men: 0.88 million 20–24, men: 0.88 million 25–29, men: 0.87 million 30–34, men: 0.84 million 35–39, men: 0.76 million 40–44, men: 0.65 million 45–49, men: 0.58 million 50–54, men: 0.64 million 55–59, men: 0.57 million 60–64, men: 0.43 million 65–69, men: 0.24 million 70–74, men: 0.14 million 75–79, men: 0.08 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: 0.9 million 5–9, women: 0.89 million 10–14, women: 0.88 million 15–19, women: 0.88 million 20–24, women: 0.88 million 25–29, women: 0.88 million 30–34, women: 0.86 million 35–39, women: 0.78 million 40–44, women: 0.68 million 45–49, women: 0.62 million 50–54, women: 0.7 million 55–59, women: 0.63 million 60–64, women: 0.49 million 65–69, women: 0.29 million 70–74, women: 0.19 million 75–79, women: 0.12 million 80–84, women: 0.09 million 85–89, women: 0.04 million 90–94, women: 0.01 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.91 million 5–9, men: 0.9 million 10–14, men: 0.89 million 15–19, men: 0.88 million 20–24, men: 0.87 million 25–29, men: 0.86 million 30–34, men: 0.85 million 35–39, men: 0.82 million 40–44, men: 0.73 million 45–49, men: 0.63 million 50–54, men: 0.55 million 55–59, men: 0.6 million 60–64, men: 0.51 million 65–69, men: 0.36 million 70–74, men: 0.19 million 75–79, men: 0.09 million 80–84, men: 0.04 million 85–89, men: 0.02 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.89 million 5–9, women: 0.89 million 10–14, women: 0.89 million 15–19, women: 0.88 million 20–24, women: 0.88 million 25–29, women: 0.88 million 30–34, women: 0.87 million 35–39, women: 0.85 million 40–44, women: 0.77 million 45–49, women: 0.67 million 50–54, women: 0.6 million 55–59, women: 0.66 million 60–64, women: 0.59 million 65–69, women: 0.44 million 70–74, women: 0.24 million 75–79, women: 0.14 million 80–84, women: 0.07 million 85–89, women: 0.04 million 90–94, women: 0.01 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.89 million 5–9, men: 0.89 million 10–14, men: 0.89 million 15–19, men: 0.89 million 20–24, men: 0.88 million 25–29, men: 0.86 million 30–34, men: 0.85 million 35–39, men: 0.83 million 40–44, men: 0.8 million 45–49, men: 0.71 million 50–54, men: 0.59 million 55–59, men: 0.51 million 60–64, men: 0.54 million 65–69, men: 0.43 million 70–74, men: 0.28 million 75–79, men: 0.13 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: 0.88 million 5–9, women: 0.88 million 10–14, women: 0.88 million 15–19, women: 0.88 million 20–24, women: 0.88 million 25–29, women: 0.88 million 30–34, women: 0.87 million 35–39, women: 0.86 million 40–44, women: 0.83 million 45–49, women: 0.75 million 50–54, women: 0.65 million 55–59, women: 0.57 million 60–64, women: 0.62 million 65–69, women: 0.53 million 70–74, women: 0.36 million 75–79, women: 0.18 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 1m 0 1m Men Women 0–4, men: 0.87 million 5–9, men: 0.87 million 10–14, men: 0.88 million 15–19, men: 0.88 million 20–24, men: 0.88 million 25–29, men: 0.87 million 30–34, men: 0.85 million 35–39, men: 0.83 million 40–44, men: 0.81 million 45–49, men: 0.77 million 50–54, men: 0.67 million 55–59, men: 0.55 million 60–64, men: 0.46 million 65–69, men: 0.46 million 70–74, men: 0.34 million 75–79, men: 0.19 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: 0.85 million 5–9, women: 0.86 million 10–14, women: 0.88 million 15–19, women: 0.88 million 20–24, women: 0.89 million 25–29, women: 0.88 million 30–34, women: 0.86 million 35–39, women: 0.85 million 40–44, women: 0.85 million 45–49, women: 0.81 million 50–54, women: 0.73 million 55–59, women: 0.62 million 60–64, women: 0.53 million 65–69, women: 0.55 million 70–74, women: 0.44 million 75–79, women: 0.27 million 80–84, women: 0.11 million 85–89, women: 0.04 million 90–94, women: 0.01 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.85 million 5–9, men: 0.85 million 10–14, men: 0.87 million 15–19, men: 0.88 million 20–24, men: 0.88 million 25–29, men: 0.87 million 30–34, men: 0.85 million 35–39, men: 0.83 million 40–44, men: 0.8 million 45–49, men: 0.78 million 50–54, men: 0.73 million 55–59, men: 0.62 million 60–64, men: 0.5 million 65–69, men: 0.39 million 70–74, men: 0.36 million 75–79, men: 0.23 million 80–84, men: 0.1 million 85–89, men: 0.03 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.83 million 5–9, women: 0.84 million 10–14, women: 0.86 million 15–19, women: 0.87 million 20–24, women: 0.88 million 25–29, women: 0.88 million 30–34, women: 0.87 million 35–39, women: 0.85 million 40–44, women: 0.84 million 45–49, women: 0.83 million 50–54, women: 0.79 million 55–59, women: 0.69 million 60–64, women: 0.58 million 65–69, women: 0.48 million 70–74, women: 0.46 million 75–79, women: 0.32 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 1m 0 1m Men Women 0–4, men: 0.83 million 5–9, men: 0.83 million 10–14, men: 0.85 million 15–19, men: 0.86 million 20–24, men: 0.87 million 25–29, men: 0.87 million 30–34, men: 0.85 million 35–39, men: 0.83 million 40–44, men: 0.8 million 45–49, men: 0.78 million 50–54, men: 0.74 million 55–59, men: 0.68 million 60–64, men: 0.56 million 65–69, men: 0.43 million 70–74, men: 0.31 million 75–79, men: 0.24 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: 0.82 million 5–9, women: 0.82 million 10–14, women: 0.84 million 15–19, women: 0.86 million 20–24, women: 0.88 million 25–29, women: 0.88 million 30–34, women: 0.87 million 35–39, women: 0.86 million 40–44, women: 0.84 million 45–49, women: 0.82 million 50–54, women: 0.8 million 55–59, women: 0.75 million 60–64, women: 0.65 million 65–69, women: 0.52 million 70–74, women: 0.4 million 75–79, women: 0.34 million 80–84, women: 0.2 million 85–89, women: 0.07 million 90–94, women: 0.01 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.81 million 5–9, men: 0.81 million 10–14, men: 0.83 million 15–19, men: 0.84 million 20–24, men: 0.85 million 25–29, men: 0.86 million 30–34, men: 0.85 million 35–39, men: 0.83 million 40–44, men: 0.81 million 45–49, men: 0.78 million 50–54, men: 0.74 million 55–59, men: 0.69 million 60–64, men: 0.61 million 65–69, men: 0.48 million 70–74, men: 0.33 million 75–79, men: 0.21 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: 0.8 million 5–9, women: 0.81 million 10–14, women: 0.82 million 15–19, women: 0.84 million 20–24, women: 0.86 million 25–29, women: 0.87 million 30–34, women: 0.87 million 35–39, women: 0.86 million 40–44, women: 0.84 million 45–49, women: 0.82 million 50–54, women: 0.8 million 55–59, women: 0.77 million 60–64, women: 0.71 million 65–69, women: 0.58 million 70–74, women: 0.43 million 75–79, women: 0.29 million 80–84, women: 0.2 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 1m 0 1m Men Women 0–4, men: 0.79 million 5–9, men: 0.8 million 10–14, men: 0.81 million 15–19, men: 0.82 million 20–24, men: 0.84 million 25–29, men: 0.85 million 30–34, men: 0.85 million 35–39, men: 0.83 million 40–44, men: 0.81 million 45–49, men: 0.78 million 50–54, men: 0.74 million 55–59, men: 0.69 million 60–64, men: 0.63 million 65–69, men: 0.52 million 70–74, men: 0.38 million 75–79, men: 0.23 million 80–84, men: 0.11 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: 0.78 million 5–9, women: 0.79 million 10–14, women: 0.8 million 15–19, women: 0.82 million 20–24, women: 0.84 million 25–29, women: 0.86 million 30–34, women: 0.86 million 35–39, women: 0.86 million 40–44, women: 0.85 million 45–49, women: 0.82 million 50–54, women: 0.8 million 55–59, women: 0.76 million 60–64, women: 0.72 million 65–69, women: 0.63 million 70–74, women: 0.49 million 75–79, women: 0.32 million 80–84, women: 0.18 million 85–89, women: 0.09 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 1m 0 1m Millions of people in each five-year age group, men left and women right. Years after 2023 are UN projections (medium variant). Source: UN World Population Prospects · 1950–2100 · Updated 13 Nov 2026 ·
Births per woman 3.86 2023 · 32nd of 237 · UN WPP 2024
Median age 18.0 2023 · 216th of 237 · UN WPP 2024
Aged 65 and over 3.1% 2025, Projection, medium variant · UN WPP 2024
South Sudan emitted 1.7 Mt of CO2 from fossil fuels and cement in 2024.
South Sudan’s CO2 emissions, million tonnes, 1990–2024 0 Mt 0.50 Mt 1.0 Mt 1.5 Mt 2.0 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 2Mt 2024 · 159th of 214 · Global Carbon Budget
CO2 per person 0.1t 2024 · 203rd of 213 · Global Carbon Budget
CO2 since 1750 46Mt 2024 · 163rd of 214 · Global Carbon Budget
Shown only where a source covers South Sudan.
Refugees 605,064 refugees and others in need of protection hosted, 2025
2.5 m from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 46 entries on the US, EU and UK lists give it as an address or nationality: US 30, EU 6 and UK 10
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$5.65billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents No publicly known incidents affecting South Sudan 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
44 measures on this site have a recent figure for South Sudan.
Measure Value Year Rank Source Inflation 91.4% 2024 2nd of 176 World Bank Government debt 64% 2025 68th of 191 IMF World Economic Outlook, October 2026 Government budget balance 3.3% 2025 16th of 195 IMF World Economic Outlook, October 2026 Current account balance −6.4% 2025 158th of 194 IMF World Economic Outlook, October 2026 Unemployment 12.4% 2023 23rd of 183 World Bank Reserves, including gold $16 m 2024 164th of 164 World Bank Foreign investment in $73 m 2025 153rd of 200 World Bank Population 12 m 2025 80th of 216 World Bank Population with UN projections 11 m 2023 83rd of 237 UN WPP 2024 Births per woman 3.86 2023 32nd of 237 UN WPP 2024 Median age 18.0 2023 216th of 237 UN WPP 2024 Life expectancy 57.6 2023 233rd of 237 UN WPP 2024 Refugees from the country 2.5 m 2025 6th of 206 UNHCR Refugees and others needing protection, by host 605,064 2025 23rd of 176 UNHCR Refugees hosted per 1,000 people 49.6 2025 9th of 176 UNHCR People displaced inside the country 1.3 m 2025 14th of 38 UNHCR Crude oil production 113 kb/d 2025 41st of 214 EIA Oil consumption 12 kb/d 2024 158th of 212 EIA Natural gas production 2024 97th of 213 EIA Natural gas consumption 0.0 bcm 2024 126th of 213 EIA Electricity generated 1 TWh 2024 169th of 193 Ember Low-carbon electricity 1.8% 2024 179th of 193 Ember Electricity from coal 0% 2024 82nd of 193 Ember Electricity from wind and solar 1.8% 2024 135th of 193 Ember Wheat imports 0.0 Mt 2024 140th of 180 FAOSTAT Maize production 0.2 Mt 2024 97th of 169 FAOSTAT Maize imports 0.0 Mt 2024 120th of 196 FAOSTAT Rice production 0.0 Mt 2024 87th of 135 FAOSTAT Rice imports 0.0 Mt 2024 156th of 197 FAOSTAT Soybean imports 0.0 Mt 2024 153rd of 179 FAOSTAT Potash fertiliser use 0.00 Mt 2024 182nd of 199 FAOSTAT Phosphate fertiliser use 0.00 Mt 2024 183rd of 199 FAOSTAT CO2 emissions 2 Mt 2024 159th of 214 Global Carbon Budget CO2 per person 0.1 t 2024 203rd of 213 Global Carbon Budget CO2 emitted since 1750 46 Mt 2024 163rd of 214 Global Carbon Budget Water stress 1.4 2023 92nd of 164 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water from abroad 66% 2023 27th of 193 FAO AQUASTAT Military spending, share of GDP 3.4% 2025 15th of 150 World Bank Military spending $178 m 2025 124th of 150 World Bank Deaths in organised violence 661 2025 21st of 61 UCDP ICT service exports $36 m 2023 126th of 174 World Bank ICT service exports, share of service exports 7.4% 2023 83rd of 174 World Bank Sanctions list entries (US, EU, UK) 46 2026 57th of 181 US CSL Chinese loans and grants committed $2 m 2021 108th of 122 AidData, Global Chinese Development Finance Dataset 3.0
Sources for this page World Bank Indicators Inflation, Unemployment, Reserves, Foreign investment in, Population, Military, % GDP, … 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 imports, Maize production, Maize imports, Rice production, Rice imports, Soybean imports, … Our World in Data CO2 CO2 emissions, CO2 per person, CO2 since 1750 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water stress FAO AQUASTAT Water from abroad UCDP Georeferenced Event Dataset Conflict deaths US Consolidated Screening List Sanctions list entries, Sanctions AidData Chinese development finance Chinese loans and grants SIPRI Arms Transfers Database Dependencies at a glance UN Comtrade Dependencies at a glance EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents