1 Dependencies at a glance Fiji 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, Australia → Fiji as reported by the exporter Singapore , Australia , India Natural gas – Uses no gas, by this source EIA, 2024 No partner data from the source Wheat – Not reported by this source – Maize Imports 3.9% of the maize it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 New Zealand , Australia , Argentina Rice Imports 89% of the rice it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 Vietnam , China , Thailand Soybeans – Not reported by this source – Potash Imports all of its potash supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 Germany , Malaysia , Singapore Phosphate Imports all of its phosphate supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 Australia , Singapore , Morocco Arms – Supplier concentration only Main supplier: Australia, 100% of importsSIPRI, 2021–2025 Australia Chips – Supplier concentration only Main supplier: Australia, 41% of importsUN Comtrade, 2025 Australia , China , United States
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: Singapore, Australia, India
EIA, use 2024 · UN Comtrade, imports 2025, Australia → Fiji 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 3.9% of the maize it uses
Main partners: New Zealand, Australia, Argentina
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Rice Imports 89% of the rice it uses
Main partners: Vietnam, China, Thailand
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Soybeans Not reported by this source
Potash Imports all of its potash supply
Main partners: Germany, Malaysia, Singapore
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
Phosphate Imports all of its phosphate supply
Main partners: Australia, Singapore, Morocco
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
ArmsSupplier concentration only Main supplier: Australia, 100% of imports
Main partners: Australia
SIPRI, 2021–2025
ChipsSupplier concentration only Main supplier: Australia, 41% of imports
Main partners: Australia, China, United States
UN Comtrade, 2025
Fiji’s economy produced $6.2 bn in 2025.
GDP, 2000–2025 $0 $2.0 bn $4.0 bn $6.0 bn $8.0 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 3.2% 2025 · 96th of 186 · World Bank
Inflation −1.4% 2025 · 166th of 169 · World Bank
Unemployment 5.3% 2025 · 84th of 181 · World Bank
Reserves US$1.60billion 2024 · 126th of 164 · World Bank
Trade 119% of GDP 2024 · 40th of 172 · World Bank
Foreign investment in US$263million 2025 · 137th of 200 · World Bank
Fiji had 933,154 people in 2025.
Population, 1950–2100 0 500,000 1.0 m 1.5 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Fiji’s population by age Men Women 0–4, men: 0.03 million 5–9, men: 0.02 million 10–14, men: 0.02 million 15–19, men: 0.02 million 20–24, men: 0.01 million 25–29, men: 0.01 million 30–34, men: 0.01 million 35–39, men: 0.01 million 40–44, men: 0.01 million 45–49, men: 0 million 50–54, men: 0 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: 0.02 million 10–14, women: 0.02 million 15–19, women: 0.02 million 20–24, women: 0.01 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 million 50–54, women: 0 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: 0.02 million 15–19, men: 0.02 million 20–24, men: 0.02 million 25–29, men: 0.01 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 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: 0.02 million 15–19, women: 0.02 million 20–24, women: 0.01 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 million 50–54, women: 0 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: 0.04 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: 0.01 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 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: 0.04 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: 0.02 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: 0.04 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: 0.01 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: 0.04 million 5–9, men: 0.04 million 10–14, men: 0.04 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: 0.04 million 10–14, women: 0.04 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: 0.04 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: 0.01 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: 0.04 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: 0.04 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: 0.01 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: 0.05 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: 0.01 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: 0.06 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: 0.02 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: 0.05 million 5–9, women: 0.05 million 10–14, women: 0.04 million 15–19, women: 0.04 million 20–24, women: 0.04 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: 0.06 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: 0.02 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: 0.05 million 5–9, women: 0.05 million 10–14, women: 0.04 million 15–19, women: 0.04 million 20–24, women: 0.04 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: 0.02 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: 0.05 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: 0.03 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: 0.01 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: 0.05 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: 0.03 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: 0.01 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: 0.05 million 5–9, men: 0.05 million 10–14, men: 0.05 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: 0.05 million 5–9, women: 0.05 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: 0.03 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 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: 0.05 million 5–9, men: 0.05 million 10–14, men: 0.05 million 15–19, men: 0.05 million 20–24, men: 0.04 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 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: 0.05 million 5–9, women: 0.05 million 10–14, women: 0.04 million 15–19, women: 0.04 million 20–24, women: 0.04 million 25–29, women: 0.04 million 30–34, women: 0.03 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: 0.02 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 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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: 0.05 million 10–14, men: 0.04 million 15–19, men: 0.04 million 20–24, men: 0.04 million 25–29, men: 0.04 million 30–34, men: 0.04 million 35–39, men: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.03 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: 0.05 million 5–9, women: 0.05 million 10–14, women: 0.04 million 15–19, women: 0.04 million 20–24, women: 0.04 million 25–29, women: 0.04 million 30–34, women: 0.04 million 35–39, women: 0.03 million 40–44, women: 0.03 million 45–49, women: 0.03 million 50–54, women: 0.02 million 55–59, women: 0.02 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, 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million 55–59, women: 0.02 million 60–64, women: 0.02 million 65–69, women: 0.01 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 0m 0 0m Men Women 0–4, men: 0.04 million 5–9, men: 0.04 million 10–14, men: 0.04 million 15–19, men: 0.04 million 20–24, men: 0.04 million 25–29, men: 0.04 million 30–34, men: 0.04 million 35–39, men: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.03 million 50–54, men: 0.02 million 55–59, men: 0.02 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: 0.04 million 5–9, women: 0.04 million 10–14, women: 0.04 million 15–19, women: 0.04 million 20–24, women: 0.04 million 25–29, women: 0.04 million 30–34, women: 0.04 million 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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 2.28 2023 · 91st of 237 · UN WPP 2024
Median age 27.7 2023 · 149th of 237 · UN WPP 2024
Aged 65 and over 6.6% 2025, Projection, medium variant · UN WPP 2024
Fiji emitted 1.4 Mt of CO2 from fossil fuels and cement in 2024.
Fiji’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 1Mt 2024 · 161st of 214 · Global Carbon Budget
CO2 per person 1.6t 2024 · 142nd of 213 · Global Carbon Budget
CO2 since 1750 54Mt 2024 · 160th of 214 · Global Carbon Budget
Shown only where a source covers Fiji.
Refugees 46 refugees and others in need of protection hosted, 2025
2,401 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$643million committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents 1 publicly known incidents affecting Fiji, 2000–2024
Counts compare documented incidents, not how often a country is targeted. Who they were attributed to
Source: EuRepoC Global Dataset of Cyber Incidents 1.3.2 (4 Mar 2025), CC BY-NC 4.0 · 2000–2024
47 measures on this site have a recent figure for Fiji.
Measure Value Year Rank Source GDP $6.2 bn 2025 152nd of 186 World Bank GDP per person $6,642 2025 101st of 186 World Bank Economic growth 3.2% 2025 96th of 186 World Bank Inflation −1.4% 2025 166th of 169 World Bank Government debt 2025 46th of 191 IMF World Economic Outlook, October 2026 Government budget balance 2025 93rd of 195 IMF World Economic Outlook, October 2026 Current account balance −7.7% 2025 163rd of 194 IMF World Economic Outlook, October 2026 Unemployment 5.3% 2025 84th of 181 World Bank Reserves, including gold $1.6 bn 2024 126th of 164 World Bank Trade 119% 2024 40th of 172 World Bank Foreign investment in $263 m 2025 137th of 200 World Bank Remittances received 7.1% 2024 38th of 162 World Bank Population 933,154 2025 161st of 216 World Bank Population with UN projections 924,145 2023 162nd of 237 UN WPP 2024 Births per woman 2.28 2023 91st of 237 UN WPP 2024 Median age 27.7 2023 149th of 237 UN WPP 2024 Life expectancy 67.3 2023 191st of 237 UN WPP 2024 Refugees from the country 2,401 2025 109th of 206 UNHCR Refugees and others needing protection, by host 46 2025 157th of 176 UNHCR Refugees hosted per 1,000 people 0.0 2025 153rd of 176 UNHCR Crude oil production 0 kb/d 2025 100th of 214 EIA Oil consumption 15 kb/d 2024 153rd 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 151st of 193 Ember Low-carbon electricity 63% 2024 59th of 193 Ember Electricity from coal 0% 2024 82nd of 193 Ember Electricity from wind and solar 0.9% 2024 145th of 193 Ember Wheat imports 0.2 Mt 2024 89th of 180 FAOSTAT Maize production 0.0 Mt 2024 142nd of 169 FAOSTAT Maize imports 0.0 Mt 2024 177th of 196 FAOSTAT Rice production 0.0 Mt 2024 98th of 135 FAOSTAT Rice imports 0.0 Mt 2024 105th of 197 FAOSTAT Soybean imports 0.0 Mt 2024 145th of 179 FAOSTAT Potash fertiliser use 0.00 Mt 2024 131st of 199 FAOSTAT Phosphate fertiliser use 0.00 Mt 2024 140th of 199 FAOSTAT CO2 emissions 1 Mt 2024 161st of 214 Global Carbon Budget CO2 per person 1.6 t 2024 142nd of 213 Global Carbon Budget CO2 emitted since 1750 54 Mt 2024 160th of 214 Global Carbon Budget Water from abroad 0% 2023 125th of 193 FAO AQUASTAT Military spending, share of GDP 1.3% 2025 92nd of 150 World Bank Military spending $81 m 2025 135th of 150 World Bank Arms imports 16 TIV m 2024 80th of 117 SIPRI People using the internet 75% 2024 111th of 182 World Bank ICT service exports $10 m 2024 140th of 162 World Bank ICT service exports, share of service exports 0.5% 2024 153rd of 162 World Bank Chinese loans and grants committed $2 m 2021 114th of 122 AidData, Global Chinese Development Finance Dataset 3.0
Sources for this page World Bank Indicators GDP, GDP per person, Economic growth, Inflation, Unemployment, Reserves, … IMF World Economic Outlook, October 2026 Debt, Budget balance, Current account UN World Population Prospects Population (UN), Births per woman, Median age, Life expectancy UNHCR Refugee Data Finder Refugees from, Refugees hosted, Refugees per 1,000 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 FAO AQUASTAT Water from abroad SIPRI Arms Transfers Database Arms imports, Dependencies at a glance AidData Chinese development finance Chinese loans and grants UN Comtrade Dependencies at a glance US Consolidated Screening List Sanctions EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents