1 Dependencies at a glance Bhutan 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 mostImports 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 PreliminaryEIA, 2024 No partner data from the source Wheat Imports someImported 48% of the wheat it used in 2013 EstimateNo recent data: the latest balance is from 2013 FAOSTAT, use 2013 · FAOSTAT, imports 2023 India Maize Imports mostImports 64% of the maize it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 India Rice Imports mostImports 69% of the rice it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 India Soybeans Low net tradeImported 0% of the soybeans it used in 2013 EstimateNo recent data: the latest balance is from 2013 FAOSTAT, use 2013 · FAOSTAT, imports 2023 India Potash – Uses no potash, by this source EstimateFAOSTAT, 2024 No partner data from the source Phosphate – Uses no phosphate, by this source EstimateFAOSTAT, 2024 No partner data from the source Arms – Supplier concentration only Main supplier: Thailand, 100% of importsSIPRI, 2021–2025 Thailand Chips – Supplier concentration only Main supplier: India, 44% of importsUN Comtrade, 2025 India , China , Hong Kong
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 most 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 Preliminary
Main partners: No partner data from the source
EIA, 2024
Wheat Imports some Imported 48% of the wheat it used in 2013 Estimate
No recent data: the latest balance is from 2013
Main partners: India
FAOSTAT, use 2013 · FAOSTAT, imports 2023
Maize Imports most Imports 64% of the maize it uses
Main partners: India
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Rice Imports most Imports 69% of the rice it uses
Main partners: India
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Soybeans Low net trade Imported 0% of the soybeans it used in 2013 Estimate
No recent data: the latest balance is from 2013
Main partners: India
FAOSTAT, use 2013 · FAOSTAT, imports 2023
Potash Uses no potash, by this source Estimate
Main partners: No partner data from the source
FAOSTAT, 2024
Phosphate Uses no phosphate, by this source Estimate
Main partners: No partner data from the source
FAOSTAT, 2024
ArmsSupplier concentration only Main supplier: Thailand, 100% of imports
Main partners: Thailand
SIPRI, 2021–2025
ChipsSupplier concentration only Main supplier: India, 44% of imports
Main partners: India, China, Hong Kong
UN Comtrade, 2025
Bhutan’s economy produced $3.6 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 8.0% 2025 · 11th of 186 · World Bank
Inflation 3.6% 2025 · 69th of 169 · World Bank
Unemployment 3.2% 2025 · 135th of 181 · World Bank
Reserves US$941million 2024 · 135th of 164 · World Bank
Trade 79% of GDP 2024 · 91st of 172 · World Bank
Foreign investment in US$8.5million 2025 · 176th of 200 · World Bank
Bhutan had 796,682 people in 2025.
Population, 1950–2100 0 250,000 500,000 750,000 1.0 m 1.3 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 · Projection
Bhutan’s population by age Men Women 0–4, men: 0.02 million 5–9, men: 0.01 million 10–14, men: 0.01 million 15–19, men: 0.01 million 20–24, men: 0.01 million 25–29, men: 0.01 million 30–34, men: 0.01 million 35–39, men: 0 million 40–44, men: 0 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: 0.01 million 5–9, women: 0.01 million 10–14, women: 0.01 million 15–19, women: 0.01 million 20–24, women: 0.01 million 25–29, women: 0.01 million 30–34, women: 0.01 million 35–39, women: 0 million 40–44, women: 0 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: 0.02 million 5–9, men: 0.01 million 10–14, men: 0.01 million 15–19, men: 0.01 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 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: 0.02 million 5–9, women: 0.01 million 10–14, women: 0.01 million 15–19, women: 0.01 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 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: 0.02 million 5–9, men: 0.02 million 10–14, men: 0.01 million 15–19, men: 0.01 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: 0.02 million 5–9, women: 0.01 million 10–14, women: 0.01 million 15–19, women: 0.01 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 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: 0.02 million 5–9, men: 0.02 million 10–14, men: 0.01 million 15–19, men: 0.01 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: 0.01 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: 0.02 million 5–9, women: 0.02 million 10–14, women: 0.01 million 15–19, women: 0.01 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: 0.02 million 10–14, men: 0.02 million 15–19, men: 0.01 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: 0.01 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: 0.02 million 10–14, women: 0.02 million 15–19, women: 0.01 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: 0.01 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: 0.03 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: 0.02 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: 0.02 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: 0.01 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: 0.03 million 10–14, men: 0.02 million 15–19, men: 0.02 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: 0.02 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: 0.04 million 5–9, men: 0.04 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: 0.02 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: 0.02 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: 0.05 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: 0.05 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: 0.01 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: 0.02 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: 0.03 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: 0.01 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: 0.04 million 15–19, men: 0.04 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: 0.01 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: 0.04 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: 0.01 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: 0.03 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: 0.03 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: 0.01 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: 0.03 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: 0.01 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: 0.03 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: 0.03 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: 0.01 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: 0.03 million 5–9, women: 0.03 million 10–14, women: 0.03 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: 0.01 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: 0.03 million 5–9, men: 0.03 million 10–14, men: 0.04 million 15–19, men: 0.04 million 20–24, men: 0.05 million 25–29, men: 0.04 million 30–34, men: 0.04 million 35–39, men: 0.03 million 40–44, men: 0.02 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: 0.03 million 5–9, women: 0.03 million 10–14, women: 0.03 million 15–19, women: 0.03 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: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 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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 · Projection
Births per woman 1.46 2023 · 181st of 237 · UN WPP 2024
Median age 29.4 2023 · 134th of 237 · UN WPP 2024
Aged 65 and over 6.6% 2025, Projection, medium variant · UN WPP 2024
Bhutan emitted 1.7 Mt of CO2 from fossil fuels and cement in 2024.
Bhutan’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 · 160th of 214 · Global Carbon Budget
CO2 per person 2.1t 2024 · 132nd of 213 · Global Carbon Budget
CO2 since 1750 30Mt 2024 · 173rd of 214 · Global Carbon Budget
Shown only where a source covers Bhutan.
Refugees 7,334 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
Cyber incidents 1 publicly known incidents affecting Bhutan, 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
44 measures on this site have a recent figure for Bhutan.
Measure Value Year Rank Source GDP $3.6 bn 2025 158th of 186 World Bank GDP per person $4,493 2025 123rd of 186 World Bank Economic growth 8.0% 2025 11th of 186 World Bank Inflation 3.6% 2025 69th of 169 World Bank Government debt Estimate2025 18th of 191 IMF World Economic Outlook, October 2026 Government budget balance Estimate2025 100th of 195 IMF World Economic Outlook, October 2026 Current account balance Estimate2025 183rd of 194 IMF World Economic Outlook, October 2026 Unemployment 3.2% 2025 135th of 181 World Bank Reserves, including gold $941 m 2024 135th of 164 World Bank Trade 79% 2024 91st of 172 World Bank Foreign investment in $9 m 2025 176th of 200 World Bank Remittances received 3.3% 2024 64th of 162 World Bank Population 796,682 2025 165th of 216 World Bank Population with UN projections 786,385 2023 167th of 237 UN WPP 2024 Births per woman 1.46 2023 181st of 237 UN WPP 2024 Median age 29.4 2023 134th of 237 UN WPP 2024 Life expectancy 73.0 2023 140th of 237 UN WPP 2024 Refugees from the country 7,334 2025 89th of 206 UNHCR Crude oil production 0 kb/d 2025 100th of 214 EIA Oil consumption 5 kb/d 2024 176th of 212 EIA Natural gas production Preliminary2024 97th of 213 EIA Natural gas consumption 0.0 bcm 2024 126th of 213 EIA Electricity generated 11 TWh 2024 105th of 193 Ember Low-carbon electricity 100% 2024 1st of 193 Ember Electricity from coal 0% 2024 82nd of 193 Ember Electricity from wind and solar 0% 2024 178th of 193 Ember Wheat production 0.0 Mt 2024 115th of 123 FAOSTAT Wheat imports 0.0 Mt 2024 161st of 180 FAOSTAT Maize production 0.0 Mt 2024 119th of 169 FAOSTAT Maize imports 0.0 Mt 2024 102nd of 196 FAOSTAT Rice production 0.0 Mt 2024 86th of 135 FAOSTAT Rice imports 0.1 Mt 2024 99th of 197 FAOSTAT Soybean production 0.0 Mt 2024 93rd of 108 FAOSTAT Soybean imports 0.0 Mt 2024 171st of 179 FAOSTAT Potash fertiliser use 0.00 Mt 2024 156th of 199 FAOSTAT Phosphate fertiliser use 0.00 Mt 2024 156th of 199 FAOSTAT CO2 emissions 2 Mt 2024 160th of 214 Global Carbon Budget CO2 per person 2.1 t 2024 132nd of 213 Global Carbon Budget CO2 emitted since 1750 30 Mt 2024 173rd of 214 Global Carbon Budget Water stress 0.4 2023 131st 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 People using the internet 91% 2024 49th of 182 World Bank ICT service exports $1 m 2024 158th of 162 World Bank ICT service exports, share of service exports 0.4% 2024 155th of 162 World Bank
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 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 SIPRI Arms Transfers Database Dependencies at a glance 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