1 Dependencies at a glance Somalia imports all of the oil it uses.
Dependence is net imports: imports minus exports, as a share of what the country uses; for potash and phosphate, of its supply (production plus net imports). Arms and chips show supplier concentration only: the main supplier’s share of imports (arms: five-year totals of deliveries in SIPRI’s trend-indicator value, SIPRI’s measure of military capability delivered, not price or number of weapons). Resource Dependence Position Main partners Oil Imports all 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 99% of the wheat it uses FAOSTAT, use 2021 · FAOSTAT, imports 2023 No partner data from the source Maize Imports 6.7% of the maize it usesFAOSTAT, use 2022 · FAOSTAT, imports 2023 No partner data from the source Rice Imports all of the rice it uses FAOSTAT, use 2020 · FAOSTAT, imports 2023 No partner data from the source Soybeans – Not reported by this source – Potash – Not reported by this source – Phosphate – Not reported by this source – Arms – Supplier concentration only Main supplier: Italy, 83% of importsSIPRI, 2021–2025 Italy , Türkiye , South Africa 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 all 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 99% of the wheat it uses
Main partners: No partner data from the source
FAOSTAT, use 2021 · FAOSTAT, imports 2023
Maize Imports 6.7% of the maize it uses
Main partners: No partner data from the source
FAOSTAT, use 2022 · FAOSTAT, imports 2023
Rice Imports all 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 Not reported by this source
Phosphate Not reported by this source
ArmsSupplier concentration only Main supplier: Italy, 83% of imports
Main partners: Italy, Türkiye, South Africa
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 2025
Somalia’s economy produced $13 bn in 2025.
GDP, 2000–2025 $0 $5.0 bn $10 bn $15 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 3.0% 2025 · 105th of 186 · World Bank
Unemployment 18.9% 2025 · 8th of 181 · World Bank
Trade 130% of GDP 2024 · 36th of 172 · World Bank
Foreign investment in US$834million 2025 · 105th of 200 · World Bank
Somalia had 20 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 ·
Somalia’s population by age Men Women 0–4, men: 0.19 million 5–9, men: 0.14 million 10–14, men: 0.12 million 15–19, men: 0.11 million 20–24, men: 0.1 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: 0.05 million 50–54, men: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.02 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.19 million 5–9, women: 0.14 million 10–14, women: 0.13 million 15–19, women: 0.1 million 20–24, women: 0.09 million 25–29, women: 0.08 million 30–34, women: 0.07 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: 0.02 million 65–69, women: 0.02 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 3m 0 3m Men Women 0–4, men: 0.24 million 5–9, men: 0.17 million 10–14, men: 0.13 million 15–19, men: 0.12 million 20–24, men: 0.1 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: 0.05 million 50–54, men: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.02 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.24 million 5–9, women: 0.17 million 10–14, women: 0.14 million 15–19, women: 0.12 million 20–24, women: 0.1 million 25–29, women: 0.09 million 30–34, women: 0.08 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: 0.04 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 3m 0 3m Men Women 0–4, men: 0.27 million 5–9, men: 0.21 million 10–14, men: 0.16 million 15–19, men: 0.13 million 20–24, men: 0.12 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: 0.01 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: 0.21 million 10–14, women: 0.16 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: 0.04 million 60–64, women: 0.03 million 65–69, women: 0.02 million 70–74, women: 0.02 million 75–79, women: 0.01 million 80–84, women: 0 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: 0.3 million 5–9, men: 0.24 million 10–14, men: 0.21 million 15–19, men: 0.16 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: 0.01 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: 0.24 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: 0.09 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: 0.04 million 65–69, women: 0.03 million 70–74, women: 0.02 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 3m 0 3m Men Women 0–4, men: 0.34 million 5–9, men: 0.27 million 10–14, men: 0.23 million 15–19, men: 0.2 million 20–24, men: 0.15 million 25–29, men: 0.12 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: 0.33 million 5–9, women: 0.27 million 10–14, women: 0.23 million 15–19, women: 0.2 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: 0.08 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: 0.39 million 5–9, men: 0.31 million 10–14, men: 0.26 million 15–19, men: 0.23 million 20–24, men: 0.2 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: 0.04 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: 0.38 million 5–9, women: 0.3 million 10–14, women: 0.26 million 15–19, women: 0.22 million 20–24, women: 0.19 million 25–29, women: 0.15 million 30–34, women: 0.12 million 35–39, women: 0.11 million 40–44, women: 0.09 million 45–49, women: 0.07 million 50–54, women: 0.06 million 55–59, women: 0.05 million 60–64, women: 0.04 million 65–69, women: 0.03 million 70–74, women: 0.02 million 75–79, women: 0.01 million 80–84, women: 0.01 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 3m 0 3m Men Women 0–4, men: 0.55 million 5–9, men: 0.42 million 10–14, men: 0.36 million 15–19, men: 0.31 million 20–24, men: 0.27 million 25–29, men: 0.23 million 30–34, men: 0.17 million 35–39, men: 0.13 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: 0.05 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: 0.54 million 5–9, women: 0.42 million 10–14, women: 0.35 million 15–19, women: 0.31 million 20–24, women: 0.26 million 25–29, women: 0.23 million 30–34, women: 0.17 million 35–39, women: 0.14 million 40–44, women: 0.12 million 45–49, women: 0.1 million 50–54, women: 0.09 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: 0.65 million 5–9, men: 0.49 million 10–14, men: 0.4 million 15–19, men: 0.34 million 20–24, men: 0.29 million 25–29, men: 0.25 million 30–34, men: 0.21 million 35–39, men: 0.16 million 40–44, men: 0.12 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: 0.04 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: 0.63 million 5–9, women: 0.48 million 10–14, women: 0.39 million 15–19, women: 0.34 million 20–24, women: 0.29 million 25–29, women: 0.25 million 30–34, women: 0.21 million 35–39, women: 0.16 million 40–44, women: 0.13 million 45–49, women: 0.11 million 50–54, women: 0.09 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 3m 0 3m Men Women 0–4, men: 0.71 million 5–9, men: 0.54 million 10–14, men: 0.43 million 15–19, men: 0.35 million 20–24, men: 0.29 million 25–29, men: 0.25 million 30–34, men: 0.21 million 35–39, men: 0.18 million 40–44, men: 0.14 million 45–49, men: 0.1 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: 0.69 million 5–9, women: 0.53 million 10–14, women: 0.43 million 15–19, women: 0.35 million 20–24, women: 0.3 million 25–29, women: 0.25 million 30–34, women: 0.22 million 35–39, women: 0.19 million 40–44, women: 0.14 million 45–49, women: 0.11 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 3m 0 3m Men Women 0–4, men: 0.7 million 5–9, men: 0.55 million 10–14, men: 0.47 million 15–19, men: 0.38 million 20–24, men: 0.31 million 25–29, men: 0.25 million 30–34, men: 0.21 million 35–39, men: 0.18 million 40–44, men: 0.15 million 45–49, men: 0.11 million 50–54, men: 0.08 million 55–59, men: 0.07 million 60–64, men: 0.05 million 65–69, men: 0.04 million 70–74, men: 0.03 million 75–79, men: 0.01 million 80–84, men: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.68 million 5–9, women: 0.54 million 10–14, women: 0.46 million 15–19, women: 0.38 million 20–24, women: 0.31 million 25–29, women: 0.26 million 30–34, women: 0.22 million 35–39, women: 0.19 million 40–44, women: 0.16 million 45–49, women: 0.12 million 50–54, women: 0.09 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 3m 0 3m Men Women 0–4, men: 0.91 million 5–9, men: 0.66 million 10–14, men: 0.55 million 15–19, men: 0.47 million 20–24, men: 0.38 million 25–29, men: 0.3 million 30–34, men: 0.25 million 35–39, men: 0.21 million 40–44, men: 0.18 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: 0.88 million 5–9, women: 0.64 million 10–14, women: 0.53 million 15–19, women: 0.46 million 20–24, women: 0.37 million 25–29, women: 0.31 million 30–34, women: 0.26 million 35–39, women: 0.22 million 40–44, women: 0.18 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: 0.05 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: 1.1 million 5–9, men: 0.86 million 10–14, men: 0.65 million 15–19, men: 0.55 million 20–24, men: 0.47 million 25–29, men: 0.37 million 30–34, men: 0.3 million 35–39, men: 0.24 million 40–44, men: 0.2 million 45–49, men: 0.17 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: 1.1 million 5–9, women: 0.84 million 10–14, women: 0.64 million 15–19, women: 0.53 million 20–24, women: 0.46 million 25–29, women: 0.37 million 30–34, women: 0.3 million 35–39, women: 0.25 million 40–44, women: 0.21 million 45–49, women: 0.18 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 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 3m 0 3m Men Women 0–4, men: 1.2 million 5–9, men: 0.99 million 10–14, men: 0.82 million 15–19, men: 0.63 million 20–24, men: 0.52 million 25–29, men: 0.44 million 30–34, men: 0.35 million 35–39, men: 0.28 million 40–44, men: 0.23 million 45–49, men: 0.19 million 50–54, men: 0.15 million 55–59, men: 0.12 million 60–64, men: 0.09 million 65–69, men: 0.06 million 70–74, men: 0.04 million 75–79, men: 0.02 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: 0.96 million 10–14, women: 0.8 million 15–19, women: 0.61 million 20–24, women: 0.51 million 25–29, women: 0.43 million 30–34, women: 0.35 million 35–39, women: 0.28 million 40–44, women: 0.24 million 45–49, women: 0.2 million 50–54, women: 0.17 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 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: 1.1 million 10–14, men: 0.93 million 15–19, men: 0.77 million 20–24, men: 0.59 million 25–29, men: 0.48 million 30–34, men: 0.41 million 35–39, men: 0.32 million 40–44, men: 0.25 million 45–49, men: 0.2 million 50–54, men: 0.17 million 55–59, men: 0.13 million 60–64, men: 0.1 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: 1.3 million 5–9, women: 1 million 10–14, women: 0.9 million 15–19, women: 0.75 million 20–24, women: 0.58 million 25–29, women: 0.48 million 30–34, women: 0.41 million 35–39, women: 0.33 million 40–44, women: 0.26 million 45–49, women: 0.22 million 50–54, women: 0.18 million 55–59, women: 0.15 million 60–64, women: 0.12 million 65–69, women: 0.08 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: 1.6 million 5–9, men: 1.3 million 10–14, men: 1.1 million 15–19, men: 0.93 million 20–24, men: 0.77 million 25–29, men: 0.58 million 30–34, men: 0.47 million 35–39, men: 0.4 million 40–44, men: 0.32 million 45–49, men: 0.25 million 50–54, men: 0.2 million 55–59, men: 0.16 million 60–64, men: 0.12 million 65–69, men: 0.09 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: 1.6 million 5–9, women: 1.3 million 10–14, women: 1 million 15–19, women: 0.91 million 20–24, women: 0.75 million 25–29, women: 0.57 million 30–34, women: 0.47 million 35–39, women: 0.41 million 40–44, women: 0.32 million 45–49, women: 0.26 million 50–54, women: 0.21 million 55–59, women: 0.17 million 60–64, women: 0.14 million 65–69, women: 0.11 million 70–74, women: 0.07 million 75–79, women: 0.04 million 80–84, women: 0.02 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: 1.8 million 5–9, men: 1.5 million 10–14, men: 1.3 million 15–19, men: 1.1 million 20–24, men: 0.9 million 25–29, men: 0.75 million 30–34, men: 0.57 million 35–39, men: 0.46 million 40–44, men: 0.39 million 45–49, men: 0.3 million 50–54, men: 0.23 million 55–59, men: 0.18 million 60–64, men: 0.14 million 65–69, men: 0.1 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: 0.88 million 25–29, women: 0.75 million 30–34, women: 0.57 million 35–39, women: 0.47 million 40–44, women: 0.4 million 45–49, women: 0.31 million 50–54, women: 0.25 million 55–59, women: 0.2 million 60–64, women: 0.16 million 65–69, women: 0.12 million 70–74, women: 0.09 million 75–79, women: 0.05 million 80–84, women: 0.02 million 85–89, women: 0.01 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 million 5–9, men: 1.8 million 10–14, men: 1.5 million 15–19, men: 1.2 million 20–24, men: 0.98 million 25–29, men: 0.86 million 30–34, men: 0.75 million 35–39, men: 0.57 million 40–44, men: 0.46 million 45–49, men: 0.38 million 50–54, men: 0.29 million 55–59, men: 0.22 million 60–64, men: 0.16 million 65–69, men: 0.12 million 70–74, men: 0.08 million 75–79, men: 0.05 million 80–84, men: 0.02 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 1.9 million 5–9, women: 1.7 million 10–14, women: 1.5 million 15–19, women: 1.2 million 20–24, women: 0.97 million 25–29, women: 0.86 million 30–34, women: 0.76 million 35–39, women: 0.58 million 40–44, women: 0.47 million 45–49, women: 0.39 million 50–54, women: 0.3 million 55–59, women: 0.24 million 60–64, women: 0.19 million 65–69, women: 0.14 million 70–74, women: 0.1 million 75–79, women: 0.06 million 80–84, women: 0.03 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: 2.1 million 5–9, men: 1.9 million 10–14, men: 1.7 million 15–19, men: 1.5 million 20–24, men: 1.2 million 25–29, men: 0.94 million 30–34, men: 0.85 million 35–39, men: 0.74 million 40–44, men: 0.55 million 45–49, men: 0.44 million 50–54, men: 0.36 million 55–59, men: 0.27 million 60–64, men: 0.2 million 65–69, men: 0.14 million 70–74, men: 0.1 million 75–79, men: 0.06 million 80–84, men: 0.03 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 2.1 million 5–9, women: 1.9 million 10–14, women: 1.7 million 15–19, women: 1.5 million 20–24, women: 1.2 million 25–29, women: 0.94 million 30–34, women: 0.87 million 35–39, women: 0.76 million 40–44, women: 0.57 million 45–49, women: 0.46 million 50–54, women: 0.38 million 55–59, women: 0.29 million 60–64, women: 0.22 million 65–69, women: 0.17 million 70–74, women: 0.12 million 75–79, women: 0.07 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: 2.3 million 5–9, men: 2.1 million 10–14, men: 1.9 million 15–19, men: 1.7 million 20–24, men: 1.4 million 25–29, men: 1.1 million 30–34, men: 0.94 million 35–39, men: 0.85 million 40–44, men: 0.73 million 45–49, men: 0.54 million 50–54, men: 0.42 million 55–59, men: 0.34 million 60–64, men: 0.25 million 65–69, men: 0.17 million 70–74, men: 0.11 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: 2.2 million 5–9, women: 2 million 10–14, women: 1.9 million 15–19, women: 1.7 million 20–24, women: 1.4 million 25–29, women: 1.1 million 30–34, women: 0.95 million 35–39, women: 0.87 million 40–44, women: 0.75 million 45–49, women: 0.56 million 50–54, women: 0.45 million 55–59, women: 0.36 million 60–64, women: 0.27 million 65–69, women: 0.2 million 70–74, women: 0.14 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 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: 1.9 million 20–24, men: 1.6 million 25–29, men: 1.3 million 30–34, men: 1.1 million 35–39, men: 0.93 million 40–44, men: 0.83 million 45–49, men: 0.7 million 50–54, men: 0.52 million 55–59, men: 0.4 million 60–64, men: 0.31 million 65–69, men: 0.21 million 70–74, men: 0.14 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: 2.3 million 5–9, women: 2.1 million 10–14, women: 2 million 15–19, women: 1.8 million 20–24, women: 1.6 million 25–29, women: 1.3 million 30–34, women: 1.1 million 35–39, women: 0.96 million 40–44, women: 0.86 million 45–49, women: 0.74 million 50–54, women: 0.55 million 55–59, women: 0.43 million 60–64, women: 0.34 million 65–69, women: 0.24 million 70–74, women: 0.16 million 75–79, women: 0.1 million 80–84, women: 0.05 million 85–89, women: 0.02 million 90–94, women: 0.01 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 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: 1.8 million 25–29, men: 1.5 million 30–34, men: 1.3 million 35–39, men: 1.1 million 40–44, men: 0.92 million 45–49, men: 0.81 million 50–54, men: 0.67 million 55–59, men: 0.48 million 60–64, men: 0.36 million 65–69, men: 0.26 million 70–74, men: 0.17 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: 2.4 million 5–9, women: 2.3 million 10–14, women: 2.1 million 15–19, women: 2 million 20–24, women: 1.7 million 25–29, women: 1.5 million 30–34, women: 1.4 million 35–39, women: 1.1 million 40–44, women: 0.95 million 45–49, women: 0.85 million 50–54, women: 0.71 million 55–59, women: 0.52 million 60–64, women: 0.4 million 65–69, women: 0.3 million 70–74, women: 0.2 million 75–79, women: 0.12 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 3m 0 3m Men Women 0–4, men: 2.6 million 5–9, men: 2.4 million 10–14, men: 2.3 million 15–19, men: 2.1 million 20–24, men: 1.9 million 25–29, men: 1.7 million 30–34, men: 1.5 million 35–39, men: 1.3 million 40–44, men: 1.1 million 45–49, men: 0.89 million 50–54, men: 0.77 million 55–59, men: 0.63 million 60–64, men: 0.44 million 65–69, men: 0.31 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: 2.5 million 5–9, women: 2.4 million 10–14, women: 2.2 million 15–19, women: 2.1 million 20–24, women: 1.9 million 25–29, women: 1.7 million 30–34, women: 1.5 million 35–39, women: 1.4 million 40–44, women: 1.1 million 45–49, women: 0.93 million 50–54, women: 0.83 million 55–59, women: 0.68 million 60–64, women: 0.49 million 65–69, women: 0.36 million 70–74, women: 0.25 million 75–79, women: 0.15 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 3m 0 3m Men Women 0–4, men: 2.7 million 5–9, men: 2.5 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: 1.7 million 35–39, men: 1.5 million 40–44, men: 1.3 million 45–49, men: 1.1 million 50–54, men: 0.85 million 55–59, men: 0.73 million 60–64, men: 0.58 million 65–69, men: 0.38 million 70–74, men: 0.25 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: 2.6 million 5–9, women: 2.5 million 10–14, women: 2.4 million 15–19, women: 2.2 million 20–24, women: 2 million 25–29, women: 1.8 million 30–34, women: 1.7 million 35–39, women: 1.6 million 40–44, women: 1.4 million 45–49, women: 1.1 million 50–54, women: 0.91 million 55–59, women: 0.79 million 60–64, women: 0.64 million 65–69, women: 0.44 million 70–74, women: 0.3 million 75–79, women: 0.19 million 80–84, women: 0.09 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: 2.7 million 5–9, men: 2.6 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: 1.7 million 40–44, men: 1.5 million 45–49, men: 1.3 million 50–54, men: 1 million 55–59, men: 0.8 million 60–64, men: 0.66 million 65–69, men: 0.5 million 70–74, men: 0.31 million 75–79, men: 0.17 million 80–84, men: 0.08 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: 2.6 million 5–9, women: 2.5 million 10–14, women: 2.5 million 15–19, women: 2.3 million 20–24, women: 2.1 million 25–29, women: 2 million 30–34, women: 1.9 million 35–39, women: 1.7 million 40–44, women: 1.5 million 45–49, women: 1.3 million 50–54, women: 1.1 million 55–59, women: 0.87 million 60–64, women: 0.74 million 65–69, women: 0.58 million 70–74, women: 0.37 million 75–79, women: 0.22 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 3m 0 3m Men Women 0–4, men: 2.7 million 5–9, men: 2.6 million 10–14, men: 2.6 million 15–19, men: 2.5 million 20–24, men: 2.2 million 25–29, men: 2 million 30–34, men: 2 million 35–39, men: 1.8 million 40–44, men: 1.7 million 45–49, men: 1.5 million 50–54, men: 1.2 million 55–59, men: 0.96 million 60–64, men: 0.73 million 65–69, men: 0.57 million 70–74, men: 0.4 million 75–79, men: 0.21 million 80–84, men: 0.1 million 85–89, men: 0.03 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 2.6 million 5–9, women: 2.6 million 10–14, women: 2.5 million 15–19, women: 2.4 million 20–24, women: 2.2 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: 1.3 million 55–59, women: 1 million 60–64, women: 0.82 million 65–69, women: 0.67 million 70–74, women: 0.48 million 75–79, women: 0.28 million 80–84, women: 0.14 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: 2.7 million 5–9, men: 2.7 million 10–14, men: 2.6 million 15–19, men: 2.5 million 20–24, men: 2.3 million 25–29, men: 2.1 million 30–34, men: 2.1 million 35–39, men: 1.9 million 40–44, men: 1.8 million 45–49, men: 1.6 million 50–54, men: 1.4 million 55–59, men: 1.2 million 60–64, men: 0.87 million 65–69, men: 0.63 million 70–74, men: 0.46 million 75–79, men: 0.28 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: 2.7 million 5–9, women: 2.6 million 10–14, women: 2.6 million 15–19, women: 2.5 million 20–24, women: 2.3 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: 0.98 million 65–69, women: 0.74 million 70–74, women: 0.56 million 75–79, women: 0.36 million 80–84, women: 0.17 million 85–89, women: 0.06 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: 2.7 million 5–9, men: 2.7 million 10–14, men: 2.6 million 15–19, men: 2.6 million 20–24, men: 2.4 million 25–29, men: 2.2 million 30–34, men: 2.2 million 35–39, men: 2 million 40–44, men: 1.9 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: 0.32 million 80–84, men: 0.16 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: 2.7 million 5–9, women: 2.6 million 10–14, women: 2.6 million 15–19, women: 2.5 million 20–24, women: 2.4 million 25–29, women: 2.2 million 30–34, women: 2.2 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: 1.2 million 65–69, women: 0.88 million 70–74, women: 0.62 million 75–79, women: 0.42 million 80–84, women: 0.22 million 85–89, women: 0.08 million 90–94, women: 0.02 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 3m 0 3m Men Women 0–4, men: 2.7 million 5–9, men: 2.7 million 10–14, men: 2.6 million 15–19, men: 2.6 million 20–24, men: 2.4 million 25–29, men: 2.3 million 30–34, men: 2.2 million 35–39, men: 2.2 million 40–44, men: 2 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: 0.91 million 70–74, men: 0.61 million 75–79, men: 0.35 million 80–84, men: 0.18 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: 2.6 million 5–9, women: 2.6 million 10–14, women: 2.6 million 15–19, women: 2.6 million 20–24, women: 2.4 million 25–29, women: 2.3 million 30–34, women: 2.3 million 35–39, women: 2.2 million 40–44, women: 2.1 million 45–49, women: 2 million 50–54, women: 1.8 million 55–59, women: 1.6 million 60–64, women: 1.3 million 65–69, women: 1.1 million 70–74, women: 0.75 million 75–79, women: 0.46 million 80–84, women: 0.26 million 85–89, women: 0.1 million 90–94, women: 0.02 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 3m 0 3m Men Women 0–4, men: 2.7 million 5–9, men: 2.7 million 10–14, men: 2.6 million 15–19, men: 2.6 million 20–24, men: 2.4 million 25–29, men: 2.3 million 30–34, men: 2.3 million 35–39, men: 2.2 million 40–44, men: 2.1 million 45–49, men: 2 million 50–54, men: 1.8 million 55–59, men: 1.6 million 60–64, men: 1.3 million 65–69, men: 1 million 70–74, men: 0.73 million 75–79, men: 0.43 million 80–84, men: 0.2 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: 2.6 million 5–9, women: 2.6 million 10–14, women: 2.6 million 15–19, women: 2.6 million 20–24, women: 2.4 million 25–29, women: 2.4 million 30–34, women: 2.3 million 35–39, women: 2.3 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: 0.89 million 75–79, women: 0.56 million 80–84, women: 0.29 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: 2.6 million 5–9, men: 2.6 million 10–14, men: 2.6 million 15–19, men: 2.6 million 20–24, men: 2.4 million 25–29, men: 2.4 million 30–34, men: 2.4 million 35–39, men: 2.3 million 40–44, men: 2.2 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: 0.84 million 75–79, men: 0.51 million 80–84, men: 0.24 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: 2.6 million 5–9, women: 2.6 million 10–14, women: 2.6 million 15–19, women: 2.6 million 20–24, women: 2.4 million 25–29, women: 2.4 million 30–34, women: 2.4 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: 1.4 million 70–74, women: 1 million 75–79, women: 0.68 million 80–84, women: 0.35 million 85–89, women: 0.13 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 Men Women 0–4, men: 2.6 million 5–9, men: 2.6 million 10–14, men: 2.6 million 15–19, men: 2.6 million 20–24, men: 2.4 million 25–29, men: 2.4 million 30–34, men: 2.4 million 35–39, men: 2.4 million 40–44, men: 2.3 million 45–49, men: 2.2 million 50–54, men: 2 million 55–59, men: 1.8 million 60–64, men: 1.6 million 65–69, men: 1.3 million 70–74, men: 0.93 million 75–79, men: 0.59 million 80–84, men: 0.29 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: 2.5 million 5–9, women: 2.6 million 10–14, women: 2.6 million 15–19, women: 2.6 million 20–24, women: 2.4 million 25–29, women: 2.4 million 30–34, women: 2.4 million 35–39, women: 2.4 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: 1.5 million 70–74, women: 1.2 million 75–79, women: 0.78 million 80–84, women: 0.43 million 85–89, women: 0.17 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 6.13 2023 · 1st of 237 · UN WPP 2024
Median age 15.4 2023 · 234th of 237 · UN WPP 2024
Aged 65 and over 2.6% 2025, Projection, medium variant · UN WPP 2024
Somalia emitted 1.3 Mt of CO2 from fossil fuels and cement in 2024.
Somalia’s CO2 emissions, million tonnes, 1990–2024 0 Mt 0.50 Mt 1.0 Mt 1.5 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 1Mt 2024 · 164th of 214 · Global Carbon Budget
CO2 per person 0.1t 2024 · 211th of 213 · Global Carbon Budget
CO2 since 1750 42Mt 2024 · 166th of 214 · Global Carbon Budget
Shown only where a source covers Somalia.
Refugees 46,669 refugees and others in need of protection hosted, 2025
1.1 m from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 96 entries on the US, EU and UK lists give it as an address or nationality: US 63, EU 17 and UK 16
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$77million committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents No publicly known incidents affecting Somalia 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 Somalia.
Measure Value Year Rank Source GDP $13 bn 2025 143rd of 186 World Bank GDP per person $661 2025 182nd of 186 World Bank Economic growth 3.0% 2025 105th of 186 World Bank Government budget balance −0.3% 2025 44th of 195 IMF World Economic Outlook, October 2026 Current account balance 2025 189th of 194 IMF World Economic Outlook, October 2026 Unemployment 18.9% 2025 8th of 181 World Bank Trade 130% 2024 36th of 172 World Bank Foreign investment in $834 m 2025 105th of 200 World Bank Population 20 m 2025 66th of 216 World Bank Population with UN projections 18 m 2023 68th of 237 UN WPP 2024 Births per woman 6.13 2023 1st of 237 UN WPP 2024 Median age 15.4 2023 234th of 237 UN WPP 2024 Life expectancy 58.8 2023 232nd of 237 UN WPP 2024 Refugees from the country 1.1 m 2025 9th of 206 UNHCR Refugees and others needing protection, by host 46,669 2025 81st of 176 UNHCR Refugees hosted per 1,000 people 2.4 2025 98th of 176 UNHCR People displaced inside the country 3.3 m 2025 9th of 38 UNHCR Crude oil production 0 kb/d 2025 100th of 214 EIA Oil consumption 11 kb/d 2024 160th 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 175th of 193 Ember Low-carbon electricity 21% 2024 124th of 193 Ember Electricity from coal 0% 2024 82nd of 193 Ember Electricity from wind and solar 21% 2024 36th of 193 Ember Wheat production 0.0 Mt 2024 112th of 123 FAOSTAT Wheat imports 0.0 Mt 2024 157th of 180 FAOSTAT Maize production 0.1 Mt 2024 109th of 169 FAOSTAT Maize imports 0.0 Mt 2024 154th of 196 FAOSTAT Rice production 0.0 Mt 2024 105th of 135 FAOSTAT Rice imports 0.6 Mt 2024 29th of 197 FAOSTAT Soybean imports 0.0 Mt 2023 140th of 181 FAOSTAT CO2 emissions 1 Mt 2024 164th of 214 Global Carbon Budget CO2 per person 0.1 t 2024 211th of 213 Global Carbon Budget CO2 emitted since 1750 42 Mt 2024 166th of 214 Global Carbon Budget Water stress 1.7 2023 81st of 164 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water from abroad 59% 2023 34th of 193 FAO AQUASTAT Military spending, share of GDP 1.5% 2025 82nd of 150 World Bank Military spending $199 m 2025 122nd of 150 World Bank Deaths in organised violence 3,872 2025 10th of 61 UCDP Arms imports 2 TIV m 2025 101st of 108 SIPRI People using the internet 28% 2024 168th of 182 World Bank Sanctions list entries (US, EU, UK) 96 2026 32nd of 181 US CSL Chinese loans and grants committed $17 m 2021 77th of 122 AidData, Global Chinese Development Finance Dataset 3.0
Coverage notes. Somaliland: Administered separately from Somalia; not recognised as a state by most countries (EuRepoC cyber incidents).
Sources for this page World Bank Indicators GDP, GDP per person, Economic growth, Unemployment, Trade, Foreign investment in, … IMF World Economic Outlook, October 2026 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