1 Dependencies at a glance São Tomé and Príncipe 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 No partner data from the source Natural gas – Uses no gas, by this source EIA, 2024 No partner data from the source Wheat – Not reported by this source – Maize Imported 5.8% of the maize it used in 2013 No recent data: the latest balance is from 2013 FAOSTAT, use 2013 · FAOSTAT, imports 2023 Portugal , Croatia Rice – Not reported by this source – Soybeans – Not reported by this source – Potash Imports all of its potash supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 Portugal , Cameroon Phosphate Imports all of its phosphate supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 Portugal Arms – Supplier concentration only No major arms imports recorded, 2021–2025SIPRI, 2021–2025 – Chips – Supplier concentration only Main supplier: Portugal, 55% of importsUN Comtrade, 2025 Portugal , Türkiye , China
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: No partner data from the source
EIA, use 2024 · UN Comtrade, imports 2025
Natural gas Uses no gas, by this source
Main partners: No partner data from the source
EIA, 2024
Wheat Not reported by this source
Maize Imported 5.8% of the maize it used in 2013
No recent data: the latest balance is from 2013
Main partners: Portugal, Croatia
FAOSTAT, use 2013 · FAOSTAT, imports 2023
Rice Not reported by this source
Soybeans Not reported by this source
Potash Imports all of its potash supply
Main partners: Portugal, Cameroon
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
Phosphate Imports all of its phosphate supply
Main partners: Portugal
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
ArmsSupplier concentration only No major arms imports recorded, 2021–2025
SIPRI, 2021–2025
ChipsSupplier concentration only Main supplier: Portugal, 55% of imports
Main partners: Portugal, Türkiye, China
UN Comtrade, 2025
São Tomé and Príncipe’s economy produced $981 m in 2025.
GDP, 2000–2025 $0 $200 m $400 m $600 m $800 m $1.0 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 1.0% 2025 · 158th of 186 · World Bank
Inflation 11.0% 2025 · 16th of 169 · World Bank
Unemployment 9.1% 2025 · 40th of 181 · World Bank
Reserves US$59million 2024 · 163rd of 164 · World Bank
Trade 44% of GDP 2024 · 141st of 172 · World Bank
Foreign investment in US$103million 2025 · 149th of 200 · World Bank
São Tomé and Príncipe had 240,254 people in 2025.
Population, 1950–2100 0 200,000 400,000 600,000 800,000 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
São Tomé and Príncipe’s population by age 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 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 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: 0.01 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 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 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 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 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 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 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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: 0.01 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 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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 3.64 2023 · 42nd of 237 · UN WPP 2024
Median age 19.1 2023 · 203rd of 237 · UN WPP 2024
Aged 65 and over 3.9% 2025, Projection, medium variant · UN WPP 2024
São Tomé and Príncipe emitted 142,000 t of CO2 from fossil fuels and cement in 2024.
São Tomé and Príncipe’s CO2 emissions, million tonnes, 1990–2024 0 Mt 0.050 Mt 0.10 Mt 0.15 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 0.14Mt 2024 · 203rd of 214 · Global Carbon Budget
CO2 per person 0.6t 2024 · 173rd of 213 · Global Carbon Budget
CO2 since 1750 4Mt 2024 · 203rd of 214 · Global Carbon Budget
Shown only where a source covers São Tomé and Príncipe.
Refugees 28 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$131million committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents No publicly known incidents affecting São Tomé and Príncipe 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
40 measures on this site have a recent figure for São Tomé and Príncipe.
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 Maize production, Maize imports, Rice imports, Soybean imports, Potash use, Phosphate 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 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