1 Dependencies at a glance Micronesia exports maize.
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 – Not reported by this source – Natural gas – Uses no gas, by this source EIA, 2024 No partner data from the source Wheat – Not reported by this source – Maize Exports exceed recorded supply Exports can come from an earlier harvest or stocks; FAOSTAT’s yearly figures do not separate them FAOSTAT, 2023 No partner data from the source Rice Imported 98% of the rice it used in 2013 No recent data: the latest balance is from 2013 FAOSTAT, use 2013 · FAOSTAT, imports 2023 No partner data from the source Soybeans – Not reported by this source – Potash – Uses no potash, by this source FAOSTAT, 2024 No partner data from the source Phosphate – Uses no phosphate, by this source FAOSTAT, 2024 No partner data from the 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 Not reported by this source
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 Exports exceed recorded supply
Exports can come from an earlier harvest or stocks; FAOSTAT’s yearly figures do not separate them
Main partners: No partner data from the source
FAOSTAT, 2023
Rice Imported 98% of the rice it used in 2013
No recent data: the latest balance is from 2013
Main partners: No partner data from the source
FAOSTAT, use 2013 · FAOSTAT, imports 2023
Soybeans Not reported by this source
Potash Uses no potash, by this source
Main partners: No partner data from the source
FAOSTAT, 2024
Phosphate Uses no phosphate, by this source
Main partners: No partner data from the source
FAOSTAT, 2024
ArmsSupplier concentration only No major arms imports recorded, 2021–2025
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 2025
Micronesia’s economy produced $502 m in 2025.
GDP, 2000–2025 $0 $200 m $400 m $600 m 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 1.1% 2025 · 156th of 186 · World Bank
Trade 96% of GDP 2024 · 63rd of 172 · World Bank
Micronesia had 113,683 people in 2025.
Population, 1950–2100 0 50,000 100,000 150,000 200,000 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Micronesia’s population by age Men Women 0–4, men: 0 million 5–9, men: 0 million 10–14, men: 0 million 15–19, men: 0 million 20–24, men: 0 million 25–29, men: 0 million 30–34, men: 0 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 million 5–9, women: 0 million 10–14, women: 0 million 15–19, women: 0 million 20–24, women: 0 million 25–29, women: 0 million 30–34, women: 0 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 million 5–9, men: 0 million 10–14, men: 0 million 15–19, men: 0 million 20–24, men: 0 million 25–29, men: 0 million 30–34, men: 0 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 million 5–9, women: 0 million 10–14, women: 0 million 15–19, women: 0 million 20–24, women: 0 million 25–29, women: 0 million 30–34, women: 0 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 million 5–9, men: 0 million 10–14, men: 0 million 15–19, men: 0 million 20–24, men: 0 million 25–29, men: 0 million 30–34, men: 0 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 million 5–9, women: 0 million 10–14, women: 0 million 15–19, women: 0 million 20–24, women: 0 million 25–29, women: 0 million 30–34, women: 0 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 million 5–9, men: 0 million 10–14, men: 0 million 15–19, men: 0 million 20–24, men: 0 million 25–29, men: 0 million 30–34, men: 0 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 million 5–9, women: 0 million 10–14, women: 0 million 15–19, women: 0 million 20–24, women: 0 million 25–29, women: 0 million 30–34, women: 0 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: 0.01 million 5–9, men: 0 million 10–14, men: 0 million 15–19, men: 0 million 20–24, men: 0 million 25–29, men: 0 million 30–34, men: 0 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 million 10–14, women: 0 million 15–19, women: 0 million 20–24, women: 0 million 25–29, women: 0 million 30–34, women: 0 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: 0.01 million 5–9, men: 0.01 million 10–14, men: 0 million 15–19, men: 0 million 20–24, men: 0 million 25–29, men: 0 million 30–34, men: 0 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 million 15–19, women: 0 million 20–24, women: 0 million 25–29, women: 0 million 30–34, women: 0 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: 0.01 million 5–9, men: 0.01 million 10–14, men: 0.01 million 15–19, men: 0 million 20–24, men: 0 million 25–29, men: 0 million 30–34, men: 0 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 million 15–19, women: 0 million 20–24, women: 0 million 25–29, women: 0 million 30–34, women: 0 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: 0.01 million 5–9, men: 0.01 million 10–14, men: 0.01 million 15–19, men: 0.01 million 20–24, men: 0 million 25–29, men: 0 million 30–34, men: 0 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 million 20–24, women: 0 million 25–29, women: 0 million 30–34, women: 0 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: 0.01 million 5–9, men: 0.01 million 10–14, men: 0.01 million 15–19, men: 0.01 million 20–24, men: 0 million 25–29, men: 0 million 30–34, men: 0 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 million 25–29, women: 0 million 30–34, women: 0 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: 0.01 million 5–9, men: 0.01 million 10–14, men: 0.01 million 15–19, men: 0.01 million 20–24, men: 0 million 25–29, men: 0 million 30–34, men: 0 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 million 25–29, women: 0 million 30–34, women: 0 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: 0.01 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 million 30–34, men: 0 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 million 30–34, women: 0 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 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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: 0.01 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 million 30–34, men: 0 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 million 25–29, women: 0 million 30–34, women: 0 million 35–39, women: 0 million 40–44, women: 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women: 0 million 30–34, women: 0 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: 0.01 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 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 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: 0.01 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 million 30–34, men: 0 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 million 30–34, women: 0 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: 0.01 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 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 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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 million 5–9, women: 0 million 10–14, women: 0 million 15–19, women: 0 million 20–24, women: 0 million 25–29, women: 0 million 30–34, women: 0 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 million 5–9, men: 0 million 10–14, men: 0 million 15–19, men: 0 million 20–24, men: 0 million 25–29, men: 0 million 30–34, men: 0 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 million 5–9, women: 0 million 10–14, women: 0 million 15–19, women: 0 million 20–24, women: 0 million 25–29, women: 0 million 30–34, women: 0 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 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 2.75 2023 · 67th of 237 · UN WPP 2024
Median age 22.9 2023 · 176th of 237 · UN WPP 2024
Aged 65 and over 6.2% 2025, Projection, medium variant · UN WPP 2024
Micronesia emitted 151,000 t of CO2 from fossil fuels and cement in 2024.
Micronesia’s CO2 emissions, million tonnes, 1992–2024 0 Mt 0.050 Mt 0.10 Mt 0.15 Mt 0.20 Mt 0.25 Mt 1992 1997 2002 2007 2012 2017 2024 Source: Our World in Data CO2 · 1992–2024 · Updated 13 Nov 2026
CO2 emissions 0.15Mt 2024 · 201st of 214 · Global Carbon Budget
CO2 per person 1.3t 2024 · 148th of 213 · Global Carbon Budget
CO2 since 1750 5Mt 2024 · 202nd of 214 · Global Carbon Budget
Shown only where a source covers Micronesia.
Refugees 5 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$204million committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents No publicly known incidents affecting Micronesia 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
29 measures on this site have a recent figure for Micronesia.
Sources for this page World Bank Indicators GDP, GDP per person, Economic growth, Trade, Population, Internet users 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 use, Gas output, Gas use, Dependencies at a glance FAOSTAT Maize production, Maize imports, Rice production, Rice imports, Soybean imports, Potash use, … Our World in Data CO2 CO2 emissions, CO2 per person, CO2 since 1750 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