1 Dependencies at a glance 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 Imported all of the oil it used in 2011No recent data: the latest balance is from 2011 EIA, use 2011 · UN Comtrade, imports 2025 No partner data from the source Natural gas – Used no gas in 2011, by this sourceNo recent data: the latest balance is from 2011 EIA, 2011 No partner data from the source Wheat – Not reported by this source – Maize – Not reported by this source – Rice Imported 0% of the rice it used in 2006 No recent data: the latest balance is from 2006 FAOSTAT, use 2006 · FAOSTAT, imports 2023 No partner data from the source Soybeans – Not reported by this source – Potash – Not reported by this source – Phosphate – Not reported by this 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 Imported all of the oil it used in 2011
No recent data: the latest balance is from 2011
Main partners: No partner data from the source
EIA, use 2011 · UN Comtrade, imports 2025
Natural gas Used no gas in 2011, by this source
No recent data: the latest balance is from 2011
Main partners: No partner data from the source
EIA, 2011
Wheat Not reported by this source
Maize Not reported by this source
Rice Imported 0% of the rice it used in 2006
No recent data: the latest balance is from 2006
Main partners: No partner data from the source
FAOSTAT, use 2006 · FAOSTAT, imports 2023
Soybeans Not reported by this source
Potash Not reported by this source
Phosphate Not reported by this source
ArmsSupplier concentration only No major arms imports recorded, 2021–2025
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 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 ·
Réunion’s population by age 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: 0.02 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: 0.01 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: 0.02 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 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: 0.01 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: 0.03 million 5–9, men: 0.03 million 10–14, men: 0.02 million 15–19, men: 0.02 million 20–24, men: 0.01 million 25–29, men: 0.01 million 30–34, men: 0.01 million 35–39, men: 0.01 million 40–44, men: 0.01 million 45–49, men: 0.01 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: 0.03 million 10–14, women: 0.02 million 15–19, women: 0.02 million 20–24, women: 0.01 million 25–29, women: 0.01 million 30–34, women: 0.01 million 35–39, women: 0.01 million 40–44, women: 0.01 million 45–49, women: 0.01 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: 0.03 million 15–19, men: 0.02 million 20–24, men: 0.02 million 25–29, men: 0.01 million 30–34, men: 0.01 million 35–39, men: 0.01 million 40–44, men: 0.01 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 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: 0.03 million 15–19, women: 0.02 million 20–24, women: 0.02 million 25–29, women: 0.01 million 30–34, women: 0.01 million 35–39, women: 0.01 million 40–44, women: 0.01 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0 million 65–69, women: 0 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.04 million 5–9, men: 0.03 million 10–14, men: 0.03 million 15–19, men: 0.03 million 20–24, men: 0.02 million 25–29, men: 0.02 million 30–34, men: 0.01 million 35–39, men: 0.01 million 40–44, men: 0.01 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 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: 0.03 million 15–19, women: 0.03 million 20–24, women: 0.02 million 25–29, women: 0.02 million 30–34, women: 0.01 million 35–39, women: 0.01 million 40–44, women: 0.01 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 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: 0.03 million 15–19, men: 0.03 million 20–24, men: 0.03 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: 0.01 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: 0.03 million 5–9, women: 0.04 million 10–14, women: 0.03 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: 0.01 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: 0.03 million 5–9, men: 0.03 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: 0.01 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: 0.01 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: 0.03 million 5–9, women: 0.03 million 10–14, women: 0.03 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: 0.01 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: 0.01 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: 0.03 million 15–19, men: 0.03 million 20–24, men: 0.03 million 25–29, men: 0.02 million 30–34, men: 0.03 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: 0.03 million 5–9, women: 0.04 million 10–14, women: 0.03 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: 0.01 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: 0.03 million 20–24, men: 0.02 million 25–29, men: 0.03 million 30–34, men: 0.03 million 35–39, men: 0.03 million 40–44, men: 0.02 million 45–49, men: 0.02 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.03 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: 0.03 million 30–34, women: 0.03 million 35–39, women: 0.03 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: 0.01 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: 0.03 million 5–9, men: 0.03 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: 0.03 million 35–39, men: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.02 million 50–54, men: 0.02 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0.01 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: 0.04 million 15–19, women: 0.04 million 20–24, women: 0.03 million 25–29, women: 0.02 million 30–34, women: 0.03 million 35–39, women: 0.03 million 40–44, women: 0.03 million 45–49, women: 0.02 million 50–54, women: 0.01 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: 0.01 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: 0.03 million 5–9, men: 0.03 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: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.03 million 50–54, men: 0.02 million 55–59, men: 0.02 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.03 million 5–9, women: 0.03 million 10–14, women: 0.04 million 15–19, women: 0.04 million 20–24, women: 0.04 million 25–29, women: 0.03 million 30–34, women: 0.02 million 35–39, women: 0.03 million 40–44, women: 0.03 million 45–49, women: 0.03 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: 0.01 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.04 million 5–9, men: 0.04 million 10–14, men: 0.03 million 15–19, men: 0.03 million 20–24, men: 0.03 million 25–29, men: 0.03 million 30–34, men: 0.03 million 35–39, men: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.03 million 50–54, men: 0.02 million 55–59, men: 0.02 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.04 million 5–9, women: 0.03 million 10–14, women: 0.04 million 15–19, women: 0.03 million 20–24, women: 0.03 million 25–29, women: 0.03 million 30–34, women: 0.03 million 35–39, women: 0.03 million 40–44, women: 0.03 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: 0.01 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.04 million 5–9, men: 0.04 million 10–14, men: 0.04 million 15–19, men: 0.04 million 20–24, men: 0.03 million 25–29, men: 0.03 million 30–34, men: 0.03 million 35–39, men: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.03 million 50–54, men: 0.02 million 55–59, men: 0.02 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0.01 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: 0.04 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: 0.03 million 35–39, women: 0.03 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: 0.02 million 65–69, women: 0.01 million 70–74, women: 0.01 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: 0.03 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: 0.03 million 45–49, men: 0.03 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: 0.01 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: 0.03 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: 0.03 million 30–34, women: 0.03 million 35–39, women: 0.03 million 40–44, women: 0.03 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: 0.02 million 70–74, women: 0.01 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: 0.03 million 5–9, men: 0.03 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: 0.02 million 45–49, men: 0.03 million 50–54, men: 0.03 million 55–59, men: 0.03 million 60–64, men: 0.02 million 65–69, men: 0.02 million 70–74, men: 0.01 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: 0.03 million 5–9, women: 0.03 million 10–14, women: 0.03 million 15–19, women: 0.03 million 20–24, women: 0.03 million 25–29, women: 0.03 million 30–34, women: 0.03 million 35–39, women: 0.03 million 40–44, women: 0.03 million 45–49, women: 0.03 million 50–54, women: 0.03 million 55–59, women: 0.03 million 60–64, women: 0.03 million 65–69, women: 0.02 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: 0.03 million 5–9, men: 0.03 million 10–14, men: 0.03 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: 0.03 million 50–54, men: 0.03 million 55–59, men: 0.03 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: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.03 million 5–9, women: 0.03 million 10–14, women: 0.03 million 15–19, women: 0.03 million 20–24, 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50–54, women: 0.02 million 55–59, women: 0.03 million 60–64, women: 0.02 million 65–69, women: 0.02 million 70–74, women: 0.02 million 75–79, women: 0.02 million 80–84, women: 0.02 million 85–89, women: 0.02 million 90–94, women: 0.02 million 95–99, women: 0.01 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 2.17 2023 · 100th of 237 · UN WPP 2024
Median age 37.4 2023 · 80th of 237 · UN WPP 2024
Aged 65 and over 16% 2025, Projection, medium variant · UN WPP 2024
Shown only where a source covers Réunion.
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 Réunion, 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
11 measures on this site have a recent figure for Réunion.
Sources for this page UN World Population Prospects Population (UN), Births per woman, Median age, Life expectancy U.S. Energy Information Administration Oil output, Dependencies at a glance Ember electricity data Electricity, Low-carbon electricity, Electricity from coal, Electricity from wind and solar FAOSTAT Potash use, Phosphate use, Dependencies at a glance US Consolidated Screening List Sanctions EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents