1 Dependencies at a glance Singapore imports all of the gas it uses; it exports potash.
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 99% of the oil it usesEIA, use 2024 · UN Comtrade, imports 2025 United Arab Emirates , Qatar , United States Natural gas Imports all of the gas it uses EIA, use 2024 · UN Comtrade, imports 2025 Indonesia , Qatar , Malaysia Wheat – Not reported by this source – Maize – Not reported by this source – Rice – Not reported by this source – Soybeans – Not reported by this source – Potash Exports exceed recorded supply Goods passing through, or changes in stocks, can cause this; FAOSTAT’s figures do not show which FAOSTAT, supply 2019 · UN Comtrade, exports 2025, Singapore → Malaysia as reported by the exporter Malaysia , Ecuador , Australia (buyers)Phosphate Exports exceed recorded supply Goods passing through, or changes in stocks, can cause this; FAOSTAT’s figures do not show which FAOSTAT, supply 2019 · UN Comtrade, exports 2025 Israel , Ecuador , Fiji (buyers)Arms – Supplier concentration only Main supplier: Germany, 40% of importsSIPRI, 2021–2025 Germany , United States , Israel Chips – Supplier concentration only Main supplier: Taiwan, 48% of importsUN Comtrade, 2025 Taiwan , South Korea , Malaysia
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 99% of the oil it uses
Main partners: United Arab Emirates, Qatar, United States
EIA, use 2024 · UN Comtrade, imports 2025
Natural gas Imports all of the gas it uses
Main partners: Indonesia, Qatar, Malaysia
EIA, use 2024 · UN Comtrade, imports 2025
Wheat Not reported by this source
Maize Not reported by this source
Rice Not reported by this source
Soybeans Not reported by this source
Potash Exports exceed recorded supply
Goods passing through, or changes in stocks, can cause this; FAOSTAT’s figures do not show which
Main partners: Malaysia, Ecuador, Australia (buyers)
FAOSTAT, supply 2019 · UN Comtrade, exports 2025, Singapore → Malaysia as reported by the exporter
Phosphate Exports exceed recorded supply
Goods passing through, or changes in stocks, can cause this; FAOSTAT’s figures do not show which
Main partners: Israel, Ecuador, Fiji (buyers)
FAOSTAT, supply 2019 · UN Comtrade, exports 2025
ArmsSupplier concentration only Main supplier: Germany, 40% of imports
Main partners: Germany, United States, Israel
SIPRI, 2021–2025
ChipsSupplier concentration only Main supplier: Taiwan, 48% of imports
Main partners: Taiwan, South Korea, Malaysia
UN Comtrade, 2025
Singapore’s economy produced $604 bn in 2025.
GDP, 2000–2025 $0 $200 bn $400 bn $600 bn $800 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 5.0% 2025 · 44th of 186 · World Bank
Inflation 0.9% 2025 · 138th of 169 · World Bank
Unemployment 2.8% 2025 · 149th of 181 · World Bank
Reserves US$384billion 2024 · 9th of 164 · World Bank
Trade 313% of GDP 2024 · 3rd of 172 · World Bank
Foreign investment in US$159billion 2025 · 2nd of 200 · World Bank
US Treasury securities held US Treasury securities held US$278bn 2026-08; US$261bn a year earlier
Source: US Treasury TIC · 2026-08 · Updated 13 Nov 2026
Singapore had 6.1 m people in 2025.
Population, 1950–2100 0 2.0 m 4.0 m 6.0 m 8.0 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Singapore’s population by age Men Women 0–4, men: 0.09 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: 0.04 million 30–34, men: 0.04 million 35–39, men: 0.04 million 40–44, men: 0.03 million 45–49, men: 0.03 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: 0.08 million 5–9, women: 0.06 million 10–14, women: 0.06 million 15–19, women: 0.05 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: 0.02 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: 0.13 million 5–9, men: 0.09 million 10–14, men: 0.07 million 15–19, men: 0.07 million 20–24, men: 0.06 million 25–29, men: 0.05 million 30–34, men: 0.05 million 35–39, men: 0.05 million 40–44, men: 0.04 million 45–49, men: 0.03 million 50–54, men: 0.03 million 55–59, men: 0.02 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: 0.12 million 5–9, women: 0.09 million 10–14, women: 0.06 million 15–19, women: 0.06 million 20–24, women: 0.05 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, 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: 0.15 million 5–9, men: 0.13 million 10–14, men: 0.1 million 15–19, men: 0.07 million 20–24, men: 0.07 million 25–29, men: 0.06 million 30–34, men: 0.06 million 35–39, men: 0.05 million 40–44, men: 0.04 million 45–49, men: 0.04 million 50–54, men: 0.03 million 55–59, men: 0.02 million 60–64, men: 0.02 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: 0.14 million 5–9, women: 0.12 million 10–14, women: 0.09 million 15–19, women: 0.06 million 20–24, women: 0.06 million 25–29, women: 0.05 million 30–34, women: 0.05 million 35–39, women: 0.04 million 40–44, women: 0.03 million 45–49, women: 0.03 million 50–54, women: 0.03 million 55–59, women: 0.02 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 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: 0.14 million 5–9, men: 0.15 million 10–14, men: 0.13 million 15–19, men: 0.1 million 20–24, men: 0.07 million 25–29, men: 0.07 million 30–34, men: 0.06 million 35–39, men: 0.06 million 40–44, men: 0.05 million 45–49, men: 0.04 million 50–54, men: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.02 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.13 million 5–9, women: 0.14 million 10–14, women: 0.12 million 15–19, women: 0.1 million 20–24, women: 0.07 million 25–29, women: 0.07 million 30–34, women: 0.05 million 35–39, women: 0.05 million 40–44, women: 0.04 million 45–49, women: 0.03 million 50–54, women: 0.03 million 55–59, women: 0.03 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: 0.12 million 5–9, men: 0.15 million 10–14, men: 0.15 million 15–19, men: 0.13 million 20–24, men: 0.11 million 25–29, men: 0.07 million 30–34, men: 0.07 million 35–39, men: 0.06 million 40–44, men: 0.05 million 45–49, men: 0.05 million 50–54, men: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.12 million 5–9, women: 0.13 million 10–14, women: 0.14 million 15–19, women: 0.12 million 20–24, women: 0.1 million 25–29, women: 0.07 million 30–34, women: 0.07 million 35–39, women: 0.05 million 40–44, women: 0.05 million 45–49, women: 0.04 million 50–54, women: 0.03 million 55–59, women: 0.03 million 60–64, women: 0.02 million 65–69, women: 0.02 million 70–74, women: 0.01 million 75–79, women: 0.01 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: 0.11 million 5–9, men: 0.12 million 10–14, men: 0.15 million 15–19, men: 0.15 million 20–24, men: 0.13 million 25–29, men: 0.11 million 30–34, men: 0.07 million 35–39, men: 0.07 million 40–44, men: 0.06 million 45–49, men: 0.05 million 50–54, men: 0.04 million 55–59, men: 0.03 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.11 million 5–9, women: 0.11 million 10–14, women: 0.14 million 15–19, women: 0.14 million 20–24, women: 0.12 million 25–29, women: 0.1 million 30–34, women: 0.07 million 35–39, women: 0.07 million 40–44, women: 0.05 million 45–49, women: 0.05 million 50–54, women: 0.04 million 55–59, women: 0.03 million 60–64, women: 0.03 million 65–69, women: 0.02 million 70–74, women: 0.01 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.1 million 5–9, men: 0.11 million 10–14, men: 0.12 million 15–19, men: 0.15 million 20–24, men: 0.16 million 25–29, men: 0.13 million 30–34, men: 0.11 million 35–39, men: 0.07 million 40–44, men: 0.07 million 45–49, men: 0.06 million 50–54, men: 0.05 million 55–59, men: 0.04 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.02 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.09 million 5–9, women: 0.11 million 10–14, women: 0.11 million 15–19, women: 0.14 million 20–24, women: 0.15 million 25–29, women: 0.13 million 30–34, women: 0.11 million 35–39, women: 0.07 million 40–44, women: 0.07 million 45–49, women: 0.05 million 50–54, women: 0.05 million 55–59, women: 0.03 million 60–64, women: 0.03 million 65–69, women: 0.03 million 70–74, women: 0.02 million 75–79, women: 0.01 million 80–84, women: 0.01 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.11 million 5–9, men: 0.1 million 10–14, men: 0.12 million 15–19, men: 0.13 million 20–24, men: 0.16 million 25–29, men: 0.17 million 30–34, men: 0.14 million 35–39, men: 0.11 million 40–44, men: 0.07 million 45–49, men: 0.07 million 50–54, men: 0.06 million 55–59, men: 0.05 million 60–64, men: 0.03 million 65–69, men: 0.03 million 70–74, men: 0.02 million 75–79, men: 0.01 million 80–84, men: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.1 million 5–9, women: 0.09 million 10–14, women: 0.11 million 15–19, women: 0.13 million 20–24, women: 0.16 million 25–29, women: 0.16 million 30–34, women: 0.14 million 35–39, women: 0.11 million 40–44, women: 0.07 million 45–49, women: 0.07 million 50–54, women: 0.05 million 55–59, women: 0.04 million 60–64, women: 0.03 million 65–69, women: 0.03 million 70–74, women: 0.02 million 75–79, women: 0.01 million 80–84, women: 0.01 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.12 million 5–9, men: 0.11 million 10–14, men: 0.11 million 15–19, men: 0.13 million 20–24, men: 0.15 million 25–29, men: 0.18 million 30–34, men: 0.17 million 35–39, men: 0.15 million 40–44, men: 0.11 million 45–49, men: 0.07 million 50–54, men: 0.06 million 55–59, men: 0.05 million 60–64, men: 0.04 million 65–69, men: 0.03 million 70–74, men: 0.02 million 75–79, men: 0.01 million 80–84, men: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.11 million 5–9, women: 0.1 million 10–14, women: 0.1 million 15–19, women: 0.13 million 20–24, women: 0.15 million 25–29, women: 0.17 million 30–34, women: 0.17 million 35–39, women: 0.14 million 40–44, women: 0.11 million 45–49, women: 0.07 million 50–54, women: 0.06 million 55–59, women: 0.05 million 60–64, women: 0.04 million 65–69, women: 0.03 million 70–74, women: 0.03 million 75–79, women: 0.02 million 80–84, women: 0.01 million 85–89, women: 0.01 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.14 million 5–9, men: 0.12 million 10–14, men: 0.11 million 15–19, men: 0.13 million 20–24, men: 0.17 million 25–29, men: 0.19 million 30–34, men: 0.2 million 35–39, men: 0.18 million 40–44, men: 0.15 million 45–49, men: 0.12 million 50–54, men: 0.07 million 55–59, men: 0.06 million 60–64, men: 0.05 million 65–69, men: 0.04 million 70–74, men: 0.02 million 75–79, men: 0.02 million 80–84, men: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.13 million 5–9, women: 0.12 million 10–14, women: 0.1 million 15–19, women: 0.13 million 20–24, women: 0.17 million 25–29, women: 0.18 million 30–34, women: 0.19 million 35–39, women: 0.17 million 40–44, women: 0.14 million 45–49, women: 0.11 million 50–54, women: 0.07 million 55–59, women: 0.06 million 60–64, women: 0.05 million 65–69, women: 0.04 million 70–74, women: 0.03 million 75–79, women: 0.02 million 80–84, women: 0.01 million 85–89, women: 0.01 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.13 million 5–9, men: 0.14 million 10–14, men: 0.13 million 15–19, men: 0.16 million 20–24, men: 0.19 million 25–29, men: 0.21 million 30–34, men: 0.21 million 35–39, men: 0.21 million 40–44, men: 0.19 million 45–49, men: 0.15 million 50–54, men: 0.12 million 55–59, men: 0.07 million 60–64, men: 0.06 million 65–69, men: 0.04 million 70–74, men: 0.03 million 75–79, men: 0.02 million 80–84, men: 0.01 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.12 million 5–9, women: 0.13 million 10–14, women: 0.12 million 15–19, women: 0.14 million 20–24, women: 0.17 million 25–29, women: 0.2 million 30–34, women: 0.2 million 35–39, women: 0.19 million 40–44, women: 0.17 million 45–49, women: 0.14 million 50–54, women: 0.11 million 55–59, women: 0.07 million 60–64, women: 0.06 million 65–69, women: 0.05 million 70–74, women: 0.04 million 75–79, women: 0.02 million 80–84, women: 0.02 million 85–89, women: 0.01 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.11 million 5–9, men: 0.13 million 10–14, men: 0.14 million 15–19, men: 0.17 million 20–24, men: 0.2 million 25–29, men: 0.2 million 30–34, men: 0.21 million 35–39, men: 0.19 million 40–44, men: 0.19 million 45–49, men: 0.17 million 50–54, men: 0.14 million 55–59, men: 0.11 million 60–64, men: 0.06 million 65–69, men: 0.05 million 70–74, men: 0.04 million 75–79, men: 0.02 million 80–84, men: 0.01 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.11 million 5–9, women: 0.12 million 10–14, women: 0.13 million 15–19, women: 0.16 million 20–24, women: 0.18 million 25–29, women: 0.2 million 30–34, women: 0.2 million 35–39, women: 0.19 million 40–44, women: 0.18 million 45–49, women: 0.17 million 50–54, women: 0.14 million 55–59, women: 0.1 million 60–64, women: 0.06 million 65–69, women: 0.06 million 70–74, women: 0.04 million 75–79, women: 0.03 million 80–84, women: 0.02 million 85–89, women: 0.01 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.11 million 5–9, men: 0.12 million 10–14, men: 0.14 million 15–19, men: 0.22 million 20–24, men: 0.28 million 25–29, men: 0.28 million 30–34, men: 0.26 million 35–39, men: 0.24 million 40–44, men: 0.21 million 45–49, men: 0.2 million 50–54, men: 0.18 million 55–59, men: 0.14 million 60–64, men: 0.1 million 65–69, men: 0.06 million 70–74, men: 0.05 million 75–79, men: 0.03 million 80–84, men: 0.02 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.11 million 5–9, women: 0.11 million 10–14, women: 0.13 million 15–19, women: 0.19 million 20–24, women: 0.23 million 25–29, women: 0.24 million 30–34, women: 0.23 million 35–39, women: 0.21 million 40–44, women: 0.19 million 45–49, women: 0.18 million 50–54, women: 0.16 million 55–59, women: 0.13 million 60–64, women: 0.1 million 65–69, women: 0.06 million 70–74, women: 0.05 million 75–79, women: 0.04 million 80–84, women: 0.03 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 Men Women 0–4, men: 0.12 million 5–9, men: 0.11 million 10–14, men: 0.13 million 15–19, men: 0.23 million 20–24, men: 0.33 million 25–29, men: 0.32 million 30–34, men: 0.28 million 35–39, men: 0.24 million 40–44, men: 0.22 million 45–49, men: 0.19 million 50–54, men: 0.19 million 55–59, men: 0.17 million 60–64, men: 0.13 million 65–69, men: 0.09 million 70–74, men: 0.05 million 75–79, men: 0.04 million 80–84, men: 0.02 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.11 million 5–9, women: 0.11 million 10–14, women: 0.12 million 15–19, women: 0.2 million 20–24, women: 0.26 million 25–29, women: 0.26 million 30–34, women: 0.24 million 35–39, women: 0.22 million 40–44, women: 0.2 million 45–49, women: 0.18 million 50–54, women: 0.17 million 55–59, women: 0.16 million 60–64, women: 0.13 million 65–69, women: 0.1 million 70–74, women: 0.06 million 75–79, women: 0.05 million 80–84, women: 0.03 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 Men Women 0–4, men: 0.12 million 5–9, men: 0.11 million 10–14, men: 0.12 million 15–19, men: 0.21 million 20–24, men: 0.31 million 25–29, men: 0.32 million 30–34, men: 0.28 million 35–39, men: 0.24 million 40–44, men: 0.21 million 45–49, men: 0.19 million 50–54, men: 0.17 million 55–59, men: 0.17 million 60–64, men: 0.15 million 65–69, men: 0.12 million 70–74, men: 0.08 million 75–79, men: 0.04 million 80–84, men: 0.03 million 85–89, men: 0.01 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.11 million 5–9, women: 0.11 million 10–14, women: 0.11 million 15–19, women: 0.18 million 20–24, women: 0.25 million 25–29, women: 0.27 million 30–34, women: 0.25 million 35–39, women: 0.22 million 40–44, women: 0.19 million 45–49, women: 0.18 million 50–54, women: 0.17 million 55–59, women: 0.16 million 60–64, women: 0.15 million 65–69, women: 0.12 million 70–74, women: 0.09 million 75–79, women: 0.05 million 80–84, women: 0.04 million 85–89, women: 0.03 million 90–94, women: 0.01 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.12 million 5–9, men: 0.12 million 10–14, men: 0.11 million 15–19, men: 0.16 million 20–24, men: 0.28 million 25–29, men: 0.33 million 30–34, men: 0.32 million 35–39, men: 0.27 million 40–44, men: 0.23 million 45–49, men: 0.2 million 50–54, men: 0.18 million 55–59, men: 0.17 million 60–64, men: 0.16 million 65–69, men: 0.14 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million 30–34, women: 0.11 million 35–39, women: 0.1 million 40–44, women: 0.1 million 45–49, women: 0.11 million 50–54, women: 0.12 million 55–59, women: 0.14 million 60–64, women: 0.14 million 65–69, women: 0.13 million 70–74, women: 0.13 million 75–79, women: 0.12 million 80–84, women: 0.14 million 85–89, women: 0.18 million 90–94, women: 0.16 million 95–99, women: 0.09 million 100+, women: 0.04 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: 0.07 million 10–14, men: 0.07 million 15–19, men: 0.08 million 20–24, men: 0.1 million 25–29, men: 0.11 million 30–34, men: 0.12 million 35–39, men: 0.11 million 40–44, men: 0.11 million 45–49, men: 0.11 million 50–54, men: 0.11 million 55–59, men: 0.13 million 60–64, men: 0.15 million 65–69, men: 0.15 million 70–74, men: 0.14 million 75–79, men: 0.12 million 80–84, men: 0.11 million 85–89, men: 0.12 million 90–94, men: 0.12 million 95–99, men: 0.07 million 100+, men: 0.02 million 0–4, women: 0.07 million 5–9, women: 0.07 million 10–14, women: 0.07 million 15–19, women: 0.07 million 20–24, women: 0.09 million 25–29, women: 0.11 million 30–34, women: 0.11 million 35–39, women: 0.1 million 40–44, women: 0.1 million 45–49, women: 0.1 million 50–54, women: 0.11 million 55–59, women: 0.12 million 60–64, women: 0.14 million 65–69, women: 0.14 million 70–74, women: 0.13 million 75–79, women: 0.12 million 80–84, women: 0.11 million 85–89, women: 0.13 million 90–94, women: 0.14 million 95–99, women: 0.1 million 100+, women: 0.05 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: 0.07 million 10–14, men: 0.07 million 15–19, men: 0.08 million 20–24, men: 0.09 million 25–29, men: 0.1 million 30–34, men: 0.11 million 35–39, men: 0.11 million 40–44, men: 0.11 million 45–49, men: 0.11 million 50–54, men: 0.11 million 55–59, men: 0.11 million 60–64, men: 0.13 million 65–69, men: 0.15 million 70–74, men: 0.15 million 75–79, men: 0.13 million 80–84, men: 0.11 million 85–89, men: 0.09 million 90–94, men: 0.08 million 95–99, men: 0.06 million 100+, men: 0.02 million 0–4, women: 0.07 million 5–9, women: 0.07 million 10–14, women: 0.07 million 15–19, women: 0.07 million 20–24, women: 0.09 million 25–29, women: 0.1 million 30–34, women: 0.1 million 35–39, women: 0.1 million 40–44, women: 0.1 million 45–49, women: 0.1 million 50–54, women: 0.1 million 55–59, women: 0.1 million 60–64, women: 0.12 million 65–69, women: 0.14 million 70–74, women: 0.14 million 75–79, women: 0.13 million 80–84, women: 0.12 million 85–89, women: 0.1 million 90–94, women: 0.1 million 95–99, women: 0.09 million 100+, women: 0.05 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 0.94 2023 · 231st of 237 · UN WPP 2024
Median age 35.1 2023 · 98th of 237 · UN WPP 2024
Aged 65 and over 14% 2025, Projection, medium variant · UN WPP 2024
Satellites owned in Singapore numbered 23 at the end of 2026.
Satellites in orbit 23 2026 · 23rd of 81 · Orbital data from CelesTrak AI compute share 0.1% 2025 · 26th of 36 · Epoch AI
Notable AI models 1 2026 · Epoch AI
Singapore emitted 53.9 Mt of CO2 from fossil fuels and cement in 2024.
Singapore’s CO2 emissions, million tonnes, 1990–2024 0 Mt 20 Mt 40 Mt 60 Mt 80 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 54Mt 2024 · 55th of 214 · Global Carbon Budget
CO2 per person 9.2t 2024 · 28th of 213 · Global Carbon Budget
CO2 since 1750 2,248Mt 2024 · 65th of 214 · Global Carbon Budget
Shown only where a source covers Singapore.
Refugees 0 refugees and others in need of protection hosted, 2025
255 from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 124 entries on the US, EU and UK lists give it as an address or nationality: US 109, EU 4 and UK 11
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 28 publicly known incidents affecting Singapore, 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
48 measures on this site have a recent figure for Singapore.
Measure Value Year Rank Source GDP $604 bn 2025 27th of 186 World Bank GDP per person $98,814 2025 4th of 186 World Bank Economic growth 5.0% 2025 44th of 186 World Bank Inflation 0.9% 2025 138th of 169 World Bank Government debt 2025 3rd of 191 IMF World Economic Outlook, October 2026 Government budget balance 2025 9th of 195 IMF World Economic Outlook, October 2026 Current account balance 16.7% 2025 11th of 194 IMF World Economic Outlook, October 2026 Unemployment 2.8% 2025 149th of 181 World Bank Reserves, including gold $384 bn 2024 9th of 164 World Bank Trade 313% 2024 3rd of 172 World Bank Foreign investment in $159 bn 2025 2nd of 200 World Bank Population 6.1 m 2025 113th of 216 World Bank Population with UN projections 5.8 m 2023 115th of 237 UN WPP 2024 Births per woman 0.94 2023 231st of 237 UN WPP 2024 Median age 35.1 2023 98th of 237 UN WPP 2024 Life expectancy 83.7 2023 11th of 237 UN WPP 2024 Refugees from the country 255 2025 158th of 206 UNHCR Refugees and others needing protection, by host 0 2025 171st of 176 UNHCR Refugees hosted per 1,000 people 0.0 2025 171st of 176 UNHCR Crude oil production 0 kb/d 2025 100th of 214 EIA Oil consumption 1,482 kb/d 2024 15th of 212 EIA Natural gas production 2024 97th of 213 EIA Natural gas consumption 13.8 bcm 2024 45th of 213 EIA Electricity generated 60 TWh 2024 49th of 193 Ember Low-carbon electricity 4.9% 2024 164th of 193 Ember Electricity from coal 1% 2024 74th of 193 Ember Electricity from wind and solar 2.1% 2024 133rd of 193 Ember Wheat imports 0.2 Mt 2024 91st of 180 FAOSTAT Maize imports 0.0 Mt 2024 157th of 196 FAOSTAT Rice imports 0.4 Mt 2024 35th of 197 FAOSTAT Soybean imports 0.0 Mt 2024 69th of 179 FAOSTAT Potash fertiliser use 0.00 Mt 2024 176th of 199 FAOSTAT Phosphate fertiliser use 0.00 Mt 2024 181st of 199 FAOSTAT CO2 emissions 54 Mt 2024 55th of 214 Global Carbon Budget CO2 per person 9.2 t 2024 28th of 213 Global Carbon Budget CO2 emitted since 1750 2,248 Mt 2024 65th of 214 Global Carbon Budget Net CO2 imports through trade 266% 2023 4th of 120 Global Carbon Budget Water from abroad 0% 2023 125th of 193 FAO AQUASTAT Military spending, share of GDP 3.0% 2025 27th of 150 World Bank Military spending $17 bn 2025 22nd of 150 World Bank Arms imports 57 TIV m 2025 55th of 108 SIPRI Arms exports 79 TIV m 2025 29th of 44 SIPRI Satellites in orbit 23 2026 23rd of 81 Orbital data from CelesTrak Share of documented AI supercomputer power 0.1% 2025 26th of 36 Epoch AI People using the internet 94% 2024 31st of 182 World Bank ICT service exports $31 bn 2024 8th of 162 World Bank ICT service exports, share of service exports 7.8% 2024 73rd of 162 World Bank Sanctions list entries (US, EU, UK) 124 2026 27th of 181 US CSL
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 imports, Rice imports, Soybean imports, Potash use, Phosphate use, … Our World in Data CO2 CO2 emissions, CO2 per person, CO2 since 1750, Net CO2 imports through trade FAO AQUASTAT Water from abroad SIPRI Arms Transfers Database Arms imports, Arms exports, Dependencies at a glance CelesTrak SATCATSatellites in orbit Epoch AI AI compute share US Consolidated Screening List Sanctions list entries, Sanctions UN Comtrade Dependencies at a glance EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents