1 Dependencies at a glance Timor-Leste imports 78% of the rice it uses and 56% 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 56% 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 – Not reported by this source – Maize – Not reported by this source – Rice Imports 78% of the rice it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 India , China , Vietnam Soybeans – Not reported by this source – Potash – Not reported by this source – Phosphate – Not reported by this source – Arms – Supplier concentration only No major arms imports recorded, 2021–2025SIPRI, 2021–2025 – 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 56% 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 Not reported by this source
Maize Not reported by this source
Rice Imports 78% of the rice it uses
Main partners: India, China, Vietnam
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Soybeans Not reported by this source
Potash Not reported by this source
Phosphate Not reported by this source
ArmsSupplier concentration only No major arms imports recorded, 2021–2025
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 2025
Timor-Leste’s economy produced $1.9 bn in 2025.
GDP, 2000–2025 $0 $1.0 bn $2.0 bn $3.0 bn $4.0 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 7.0% 2025 · 18th of 186 · World Bank
Inflation 0.4% 2025 · 148th of 169 · World Bank
Unemployment 1.6% 2025 · 168th of 181 · World Bank
Reserves US$779million 2024 · 137th of 164 · World Bank
Trade 95% of GDP 2024 · 65th of 172 · World Bank
Foreign investment in US$253million 2025 · 139th of 200 · World Bank
Timor-Leste had 1.4 m people in 2025.
Population, 1950–2100 0 1.0 m 2.0 m 3.0 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Timor-Leste’s population by age Men Women 0–4, men: 0.04 million 5–9, men: 0.03 million 10–14, men: 0.03 million 15–19, men: 0.02 million 20–24, men: 0.02 million 25–29, men: 0.02 million 30–34, men: 0.01 million 35–39, men: 0.01 million 40–44, men: 0.01 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0 million 60–64, men: 0 million 65–69, men: 0 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.04 million 5–9, women: 0.03 million 10–14, women: 0.03 million 15–19, women: 0.02 million 20–24, women: 0.02 million 25–29, women: 0.01 million 30–34, women: 0.01 million 35–39, women: 0.01 million 40–44, women: 0.01 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0 million 60–64, women: 0 million 65–69, women: 0 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.03 million 5–9, men: 0.03 million 10–14, men: 0.03 million 15–19, men: 0.02 million 20–24, men: 0.02 million 25–29, men: 0.02 million 30–34, men: 0.01 million 35–39, men: 0.01 million 40–44, men: 0.01 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0 million 60–64, men: 0 million 65–69, men: 0 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.03 million 5–9, women: 0.03 million 10–14, women: 0.03 million 15–19, women: 0.02 million 20–24, women: 0.02 million 25–29, women: 0.02 million 30–34, women: 0.01 million 35–39, women: 0.01 million 40–44, women: 0.01 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0 million 65–69, women: 0 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.04 million 5–9, men: 0.03 million 10–14, men: 0.03 million 15–19, men: 0.03 million 20–24, men: 0.02 million 25–29, men: 0.02 million 30–34, men: 0.02 million 35–39, men: 0.01 million 40–44, men: 0.01 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0 million 65–69, men: 0 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.04 million 5–9, women: 0.03 million 10–14, women: 0.03 million 15–19, women: 0.03 million 20–24, women: 0.02 million 25–29, women: 0.02 million 30–34, women: 0.02 million 35–39, women: 0.01 million 40–44, women: 0.01 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0 million 65–69, women: 0 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.04 million 5–9, men: 0.03 million 10–14, men: 0.03 million 15–19, men: 0.03 million 20–24, men: 0.03 million 25–29, men: 0.02 million 30–34, men: 0.02 million 35–39, men: 0.02 million 40–44, men: 0.01 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0 million 65–69, men: 0 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.04 million 5–9, women: 0.03 million 10–14, women: 0.03 million 15–19, women: 0.03 million 20–24, women: 0.03 million 25–29, women: 0.02 million 30–34, women: 0.02 million 35–39, women: 0.01 million 40–44, women: 0.01 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.04 million 5–9, men: 0.04 million 10–14, men: 0.03 million 15–19, men: 0.03 million 20–24, men: 0.03 million 25–29, men: 0.02 million 30–34, men: 0.02 million 35–39, men: 0.02 million 40–44, men: 0.01 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0 million 65–69, men: 0 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.04 million 5–9, women: 0.04 million 10–14, women: 0.03 million 15–19, women: 0.03 million 20–24, women: 0.03 million 25–29, women: 0.02 million 30–34, women: 0.02 million 35–39, women: 0.02 million 40–44, women: 0.01 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0 million 65–69, women: 0 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.05 million 5–9, men: 0.04 million 10–14, men: 0.03 million 15–19, men: 0.03 million 20–24, men: 0.02 million 25–29, men: 0.03 million 30–34, men: 0.02 million 35–39, men: 0.02 million 40–44, men: 0.01 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.04 million 5–9, women: 0.04 million 10–14, women: 0.03 million 15–19, women: 0.03 million 20–24, women: 0.02 million 25–29, women: 0.03 million 30–34, women: 0.02 million 35–39, women: 0.02 million 40–44, women: 0.01 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.05 million 5–9, men: 0.04 million 10–14, men: 0.04 million 15–19, men: 0.03 million 20–24, men: 0.03 million 25–29, men: 0.02 million 30–34, men: 0.02 million 35–39, men: 0.02 million 40–44, men: 0.02 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.04 million 5–9, women: 0.04 million 10–14, women: 0.04 million 15–19, women: 0.03 million 20–24, women: 0.03 million 25–29, women: 0.03 million 30–34, women: 0.03 million 35–39, women: 0.02 million 40–44, women: 0.02 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.06 million 5–9, men: 0.04 million 10–14, men: 0.04 million 15–19, men: 0.04 million 20–24, men: 0.03 million 25–29, men: 0.03 million 30–34, men: 0.02 million 35–39, men: 0.02 million 40–44, men: 0.02 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.06 million 5–9, women: 0.04 million 10–14, women: 0.04 million 15–19, women: 0.04 million 20–24, women: 0.03 million 25–29, women: 0.03 million 30–34, women: 0.02 million 35–39, women: 0.02 million 40–44, women: 0.02 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.07 million 5–9, men: 0.05 million 10–14, men: 0.04 million 15–19, men: 0.04 million 20–24, men: 0.04 million 25–29, men: 0.03 million 30–34, men: 0.03 million 35–39, men: 0.02 million 40–44, men: 0.02 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 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45–49, men: 0.02 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.07 million 5–9, women: 0.06 million 10–14, women: 0.05 million 15–19, women: 0.04 million 20–24, women: 0.03 million 25–29, women: 0.03 million 30–34, women: 0.03 million 35–39, women: 0.03 million 40–44, women: 0.02 million 45–49, women: 0.02 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.06 million 5–9, men: 0.05 million 10–14, men: 0.05 million 15–19, men: 0.04 million 20–24, men: 0.03 million 25–29, men: 0.03 million 30–34, men: 0.03 million 35–39, men: 0.02 million 40–44, men: 0.02 million 45–49, men: 0.02 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.06 million 5–9, women: 0.05 million 10–14, women: 0.05 million 15–19, women: 0.04 million 20–24, women: 0.03 million 25–29, women: 0.03 million 30–34, women: 0.03 million 35–39, women: 0.02 million 40–44, women: 0.02 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.08 million 5–9, men: 0.07 million 10–14, men: 0.06 million 15–19, men: 0.05 million 20–24, men: 0.04 million 25–29, men: 0.03 million 30–34, men: 0.03 million 35–39, men: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.02 million 50–54, men: 0.02 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.08 million 5–9, women: 0.06 million 10–14, women: 0.05 million 15–19, women: 0.05 million 20–24, women: 0.04 million 25–29, women: 0.03 million 30–34, women: 0.03 million 35–39, women: 0.03 million 40–44, women: 0.02 million 45–49, women: 0.02 million 50–54, women: 0.02 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.08 million 5–9, men: 0.08 million 10–14, men: 0.07 million 15–19, men: 0.06 million 20–24, men: 0.05 million 25–29, men: 0.04 million 30–34, men: 0.03 million 35–39, men: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.02 million 50–54, men: 0.02 million 55–59, men: 0.01 million 60–64, men: 0.01 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: 0.08 million 5–9, women: 0.08 million 10–14, women: 0.07 million 15–19, women: 0.06 million 20–24, women: 0.05 million 25–29, women: 0.04 million 30–34, women: 0.03 million 35–39, women: 0.03 million 40–44, women: 0.02 million 45–49, women: 0.02 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.02 million 65–69, women: 0.01 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 0m 0 0m Men Women 0–4, men: 0.08 million 5–9, men: 0.08 million 10–14, men: 0.08 million 15–19, men: 0.07 million 20–24, men: 0.06 million 25–29, men: 0.05 million 30–34, men: 0.04 million 35–39, men: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.02 million 50–54, men: 0.02 million 55–59, men: 0.02 million 60–64, men: 0.01 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: 0.08 million 5–9, women: 0.08 million 10–14, women: 0.08 million 15–19, women: 0.07 million 20–24, women: 0.06 million 25–29, women: 0.05 million 30–34, women: 0.04 million 35–39, women: 0.03 million 40–44, women: 0.03 million 45–49, women: 0.02 million 50–54, women: 0.02 million 55–59, women: 0.01 million 60–64, women: 0.01 million 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60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.05 million 5–9, men: 0.05 million 10–14, men: 0.05 million 15–19, men: 0.05 million 20–24, men: 0.06 million 25–29, men: 0.06 million 30–34, men: 0.06 million 35–39, men: 0.06 million 40–44, men: 0.06 million 45–49, men: 0.06 million 50–54, men: 0.07 million 55–59, men: 0.07 million 60–64, men: 0.07 million 65–69, men: 0.06 million 70–74, men: 0.05 million 75–79, men: 0.04 million 80–84, men: 0.03 million 85–89, men: 0.02 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.05 million 5–9, women: 0.05 million 10–14, women: 0.05 million 15–19, women: 0.05 million 20–24, women: 0.05 million 25–29, women: 0.06 million 30–34, women: 0.06 million 35–39, women: 0.06 million 40–44, women: 0.06 million 45–49, women: 0.06 million 50–54, women: 0.06 million 55–59, women: 0.07 million 60–64, women: 0.06 million 65–69, women: 0.06 million 70–74, women: 0.06 million 75–79, women: 0.05 million 80–84, women: 0.04 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 0m 0 0m 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 2.71 2023 · 71st of 237 · UN WPP 2024
Median age 21.0 2023 · 186th of 237 · UN WPP 2024
Aged 65 and over 5.2% 2025, Projection, medium variant · UN WPP 2024
Timor-Leste emitted 668,000 t of CO2 from fossil fuels and cement in 2024.
Timor-Leste’s CO2 emissions, million tonnes, 1994–2024 0 Mt 0.20 Mt 0.40 Mt 0.60 Mt 0.80 Mt 1994 1999 2004 2009 2014 2019 2024 Source: Our World in Data CO2 · 1994–2024 · Updated 13 Nov 2026
CO2 emissions 0.67Mt 2024 · 176th of 214 · Global Carbon Budget
CO2 per person 0.5t 2024 · 181st of 213 · Global Carbon Budget
CO2 since 1750 12Mt 2024 · 185th of 214 · Global Carbon Budget
Shown only where a source covers Timor-Leste.
Refugees 1,535 from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions No entry on the US, EU or UK lists gives it as an address or nationality.
Counts entries (people, companies, ships and aircraft), not how strict the measures are.
Source: US CSL; EU sanctions list; UK Sanctions List · Updated 13 Nov 2026
Chinese loans and grants US$113million committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents No publicly known incidents affecting Timor-Leste 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
39 measures on this site have a recent figure for Timor-Leste.
Measure Value Year Rank Source GDP $1.9 bn 2025 169th of 186 World Bank GDP per person $1,341 2025 163rd of 186 World Bank Economic growth 7.0% 2025 18th of 186 World Bank Inflation 0.4% 2025 148th of 169 World Bank Government debt 2025 180th of 191 IMF World Economic Outlook, October 2026 Government budget balance 2025 195th of 195 IMF World Economic Outlook, October 2026 Current account balance 2025 191st of 194 IMF World Economic Outlook, October 2026 Unemployment 1.6% 2025 168th of 181 World Bank Reserves, including gold $779 m 2024 137th of 164 World Bank Trade 95% 2024 65th of 172 World Bank Foreign investment in $253 m 2025 139th of 200 World Bank Remittances received 11.8% 2024 21st of 162 World Bank Population 1.4 m 2025 154th of 216 World Bank Population with UN projections 1.4 m 2023 156th of 237 UN WPP 2024 Births per woman 2.71 2023 71st of 237 UN WPP 2024 Median age 21.0 2023 186th of 237 UN WPP 2024 Life expectancy 67.7 2023 187th of 237 UN WPP 2024 Refugees from the country 1,535 2025 116th of 206 UNHCR Crude oil production 2 kb/d 2025 83rd of 214 EIA Oil consumption 5 kb/d 2024 183rd of 212 EIA Natural gas production 2024 97th of 213 EIA Natural gas consumption 0.0 bcm 2024 126th of 213 EIA Wheat imports 0.0 Mt 2023 181st of 187 FAOSTAT Maize production 0.1 Mt 2024 108th of 169 FAOSTAT Maize imports 0.0 Mt 2024 164th of 196 FAOSTAT Rice production 0.0 Mt 2024 81st of 135 FAOSTAT Rice imports 0.1 Mt 2024 74th of 197 FAOSTAT Soybean production 0.0 Mt 2024 87th of 108 FAOSTAT Soybean imports 0.0 Mt 2024 94th of 179 FAOSTAT CO2 emissions 0.67 Mt 2024 176th of 214 Global Carbon Budget CO2 per person 0.5 t 2024 181st of 213 Global Carbon Budget CO2 emitted since 1750 12 Mt 2024 185th of 214 Global Carbon Budget Water stress 1.8 2023 80th of 164 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water from abroad 0% 2023 125th of 193 FAO AQUASTAT Military spending, share of GDP 2.3% 2025 47th of 150 World Bank Military spending $48 m 2025 137th of 150 World Bank ICT service exports $2 m 2024 153rd of 162 World Bank ICT service exports, share of service exports 2.4% 2024 121st of 162 World Bank Chinese loans and grants committed $3 m 2021 104th of 122 AidData, Global Chinese Development Finance Dataset 3.0
Sources for this page World Bank Indicators GDP, GDP per person, Economic growth, Inflation, Unemployment, Reserves, … IMF World Economic Outlook, October 2026 Debt, Budget balance, Current account UN World Population Prospects Population (UN), Births per woman, Median age, Life expectancy UNHCR Refugee Data Finder Refugees from U.S. Energy Information Administration Oil output, Oil use, Gas output, Gas use, Dependencies at a glance FAOSTAT Wheat imports, Maize production, Maize imports, Rice production, Rice imports, Soybean production, … 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 AidData Chinese development finance Chinese loans and grants US Consolidated Screening List Sanctions EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents