1 Dependencies at a glance Cuba imports all of its potash supply and 74% 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 74% of the oil it usesEIA, use 2024 · UN Comtrade, imports 2025 No partner data from the source Natural gas Imports 0% of the gas it uses EIA, use 2024 · UN Comtrade, imports 2025 No partner data from the source Wheat – Not reported by this source – Maize – Not reported by this source – Rice Imports 77% of the rice it usesFAOSTAT, use 2021 · FAOSTAT, imports 2023 No partner data from the source Soybeans – Not reported by this source – Potash Imports all of its potash supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 No partner data from the source Phosphate Imports all of its phosphate supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 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 Imports 74% of the oil it uses
Main partners: No partner data from the source
EIA, use 2024 · UN Comtrade, imports 2025
Natural gas Imports 0% of the gas it uses
Main partners: No partner data from the source
EIA, use 2024 · UN Comtrade, imports 2025
Wheat Not reported by this source
Maize Not reported by this source
Rice Imports 77% of the rice it uses
Main partners: No partner data from the source
FAOSTAT, use 2021 · FAOSTAT, imports 2023
Soybeans Not reported by this source
Potash Imports all of its potash supply
Main partners: No partner data from the source
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
Phosphate Imports all of its phosphate supply
Main partners: No partner data from the source
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
ArmsSupplier concentration only No major arms imports recorded, 2021–2025
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 2025
GDP, 2000–2020 $0 $25 bn $50 bn $75 bn $100 bn $125 bn 2000 2005 2010 2015 2020 Source: World Bank Indicators · 2000–2020 · Updated 13 Nov 2026
Economic growth −1.1% 2024 · 187th of 200 · World Bank
Unemployment 1.7% 2025 · 167th of 181 · World Bank
Trade 125% of GDP 2024 · 39th of 172 · World Bank
Foreign investment in US$79million 2025 · 152nd of 200 · World Bank
Cuba had 11 m people in 2025.
Population, 1950–2100 0 2.5 m 5.0 m 7.5 m 10 m 13 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Cuba’s population by age Men Women 0–4, men: 0.41 million 5–9, men: 0.36 million 10–14, men: 0.33 million 15–19, men: 0.29 million 20–24, men: 0.25 million 25–29, men: 0.22 million 30–34, men: 0.21 million 35–39, men: 0.2 million 40–44, men: 0.18 million 45–49, men: 0.17 million 50–54, men: 0.12 million 55–59, men: 0.09 million 60–64, men: 0.08 million 65–69, men: 0.06 million 70–74, men: 0.04 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: 0.39 million 5–9, women: 0.35 million 10–14, women: 0.32 million 15–19, women: 0.28 million 20–24, women: 0.25 million 25–29, women: 0.22 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: 0.09 million 55–59, women: 0.07 million 60–64, women: 0.07 million 65–69, women: 0.05 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 1m 0 1m Men Women 0–4, men: 0.45 million 5–9, men: 0.39 million 10–14, men: 0.36 million 15–19, men: 0.33 million 20–24, men: 0.28 million 25–29, men: 0.25 million 30–34, men: 0.22 million 35–39, men: 0.2 million 40–44, men: 0.19 million 45–49, men: 0.18 million 50–54, men: 0.16 million 55–59, men: 0.11 million 60–64, men: 0.08 million 65–69, men: 0.07 million 70–74, men: 0.05 million 75–79, men: 0.03 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: 0.43 million 5–9, women: 0.38 million 10–14, women: 0.35 million 15–19, women: 0.32 million 20–24, women: 0.28 million 25–29, women: 0.25 million 30–34, women: 0.22 million 35–39, women: 0.2 million 40–44, women: 0.19 million 45–49, women: 0.16 million 50–54, women: 0.13 million 55–59, women: 0.09 million 60–64, women: 0.06 million 65–69, women: 0.06 million 70–74, women: 0.04 million 75–79, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.51 million 5–9, men: 0.44 million 10–14, men: 0.39 million 15–19, men: 0.35 million 20–24, men: 0.32 million 25–29, men: 0.28 million 30–34, men: 0.24 million 35–39, men: 0.21 million 40–44, men: 0.2 million 45–49, men: 0.18 million 50–54, men: 0.17 million 55–59, men: 0.14 million 60–64, men: 0.1 million 65–69, men: 0.07 million 70–74, men: 0.05 million 75–79, men: 0.03 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: 0.49 million 5–9, women: 0.42 million 10–14, women: 0.37 million 15–19, women: 0.34 million 20–24, women: 0.31 million 25–29, women: 0.27 million 30–34, women: 0.24 million 35–39, women: 0.21 million 40–44, women: 0.19 million 45–49, women: 0.18 million 50–54, women: 0.15 million 55–59, women: 0.12 million 60–64, women: 0.08 million 65–69, women: 0.06 million 70–74, women: 0.05 million 75–79, women: 0.03 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 1m 0 1m Men Women 0–4, men: 0.62 million 5–9, men: 0.49 million 10–14, men: 0.42 million 15–19, men: 0.37 million 20–24, men: 0.34 million 25–29, men: 0.31 million 30–34, men: 0.27 million 35–39, men: 0.23 million 40–44, men: 0.2 million 45–49, men: 0.19 million 50–54, men: 0.17 million 55–59, men: 0.15 million 60–64, men: 0.13 million 65–69, men: 0.08 million 70–74, men: 0.05 million 75–79, men: 0.04 million 80–84, men: 0.02 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.59 million 5–9, women: 0.47 million 10–14, women: 0.41 million 15–19, women: 0.36 million 20–24, women: 0.33 million 25–29, women: 0.3 million 30–34, women: 0.26 million 35–39, women: 0.23 million 40–44, women: 0.21 million 45–49, women: 0.19 million 50–54, women: 0.17 million 55–59, women: 0.14 million 60–64, women: 0.11 million 65–69, women: 0.07 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 1m 0 1m Men Women 0–4, men: 0.65 million 5–9, men: 0.59 million 10–14, men: 0.47 million 15–19, men: 0.41 million 20–24, men: 0.36 million 25–29, men: 0.33 million 30–34, men: 0.3 million 35–39, men: 0.25 million 40–44, men: 0.22 million 45–49, men: 0.19 million 50–54, men: 0.17 million 55–59, men: 0.16 million 60–64, men: 0.13 million 65–69, men: 0.11 million 70–74, men: 0.06 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: 0.62 million 5–9, women: 0.57 million 10–14, women: 0.45 million 15–19, women: 0.39 million 20–24, women: 0.35 million 25–29, women: 0.32 million 30–34, women: 0.29 million 35–39, women: 0.25 million 40–44, women: 0.22 million 45–49, women: 0.2 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: 0.03 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 1m 0 1m Men Women 0–4, men: 0.58 million 5–9, men: 0.63 million 10–14, men: 0.58 million 15–19, men: 0.44 million 20–24, men: 0.39 million 25–29, men: 0.35 million 30–34, men: 0.32 million 35–39, men: 0.28 million 40–44, men: 0.24 million 45–49, men: 0.21 million 50–54, men: 0.18 million 55–59, men: 0.17 million 60–64, men: 0.15 million 65–69, men: 0.12 million 70–74, men: 0.09 million 75–79, men: 0.05 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: 0.55 million 5–9, women: 0.6 million 10–14, women: 0.56 million 15–19, women: 0.43 million 20–24, women: 0.38 million 25–29, women: 0.34 million 30–34, women: 0.31 million 35–39, women: 0.28 million 40–44, women: 0.24 million 45–49, women: 0.21 million 50–54, women: 0.18 million 55–59, women: 0.16 million 60–64, women: 0.15 million 65–69, women: 0.12 million 70–74, women: 0.08 million 75–79, women: 0.04 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 1m 0 1m Men Women 0–4, men: 0.41 million 5–9, men: 0.57 million 10–14, men: 0.62 million 15–19, men: 0.57 million 20–24, men: 0.41 million 25–29, men: 0.37 million 30–34, men: 0.34 million 35–39, men: 0.31 million 40–44, men: 0.26 million 45–49, men: 0.22 million 50–54, men: 0.2 million 55–59, men: 0.17 million 60–64, men: 0.16 million 65–69, men: 0.14 million 70–74, men: 0.11 million 75–79, men: 0.08 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: 0.39 million 5–9, women: 0.54 million 10–14, women: 0.59 million 15–19, women: 0.55 million 20–24, women: 0.4 million 25–29, women: 0.37 million 30–34, women: 0.34 million 35–39, women: 0.3 million 40–44, women: 0.26 million 45–49, women: 0.22 million 50–54, women: 0.19 million 55–59, women: 0.17 million 60–64, women: 0.15 million 65–69, women: 0.13 million 70–74, women: 0.1 million 75–79, women: 0.07 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 1m 0 1m Men Women 0–4, men: 0.39 million 5–9, men: 0.4 million 10–14, men: 0.57 million 15–19, men: 0.61 million 20–24, men: 0.56 million 25–29, men: 0.4 million 30–34, men: 0.36 million 35–39, men: 0.34 million 40–44, men: 0.3 million 45–49, men: 0.26 million 50–54, men: 0.21 million 55–59, men: 0.19 million 60–64, men: 0.16 million 65–69, men: 0.14 million 70–74, men: 0.11 million 75–79, men: 0.08 million 80–84, men: 0.05 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.37 million 5–9, women: 0.38 million 10–14, women: 0.54 million 15–19, women: 0.58 million 20–24, women: 0.54 million 25–29, women: 0.39 million 30–34, women: 0.36 million 35–39, women: 0.34 million 40–44, women: 0.3 million 45–49, women: 0.25 million 50–54, women: 0.21 million 55–59, women: 0.19 million 60–64, women: 0.16 million 65–69, women: 0.14 million 70–74, women: 0.12 million 75–79, women: 0.08 million 80–84, women: 0.05 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 1m 0 1m Men Women 0–4, men: 0.46 million 5–9, men: 0.39 million 10–14, men: 0.4 million 15–19, men: 0.56 million 20–24, men: 0.61 million 25–29, men: 0.55 million 30–34, men: 0.39 million 35–39, men: 0.36 million 40–44, men: 0.33 million 45–49, men: 0.29 million 50–54, men: 0.25 million 55–59, men: 0.2 million 60–64, men: 0.17 million 65–69, men: 0.14 million 70–74, men: 0.12 million 75–79, men: 0.09 million 80–84, men: 0.05 million 85–89, men: 0.03 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.43 million 5–9, women: 0.37 million 10–14, women: 0.38 million 15–19, women: 0.53 million 20–24, women: 0.57 million 25–29, women: 0.53 million 30–34, women: 0.38 million 35–39, women: 0.35 million 40–44, women: 0.33 million 45–49, women: 0.29 million 50–54, women: 0.24 million 55–59, women: 0.2 million 60–64, women: 0.17 million 65–69, women: 0.15 million 70–74, women: 0.12 million 75–79, women: 0.1 million 80–84, women: 0.06 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 1m 0 1m Men Women 0–4, men: 0.41 million 5–9, men: 0.45 million 10–14, men: 0.39 million 15–19, men: 0.39 million 20–24, men: 0.55 million 25–29, men: 0.59 million 30–34, men: 0.54 million 35–39, men: 0.38 million 40–44, men: 0.35 million 45–49, men: 0.32 million 50–54, men: 0.28 million 55–59, men: 0.23 million 60–64, men: 0.19 million 65–69, men: 0.16 million 70–74, men: 0.12 million 75–79, men: 0.09 million 80–84, men: 0.06 million 85–89, men: 0.03 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.38 million 5–9, women: 0.42 million 10–14, women: 0.36 million 15–19, women: 0.37 million 20–24, women: 0.52 million 25–29, women: 0.56 million 30–34, women: 0.53 million 35–39, women: 0.38 million 40–44, women: 0.35 million 45–49, women: 0.32 million 50–54, women: 0.28 million 55–59, women: 0.23 million 60–64, women: 0.19 million 65–69, women: 0.16 million 70–74, women: 0.13 million 75–79, women: 0.1 million 80–84, women: 0.07 million 85–89, women: 0.04 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 1m 0 1m Men Women 0–4, men: 0.37 million 5–9, men: 0.4 million 10–14, men: 0.44 million 15–19, men: 0.38 million 20–24, men: 0.38 million 25–29, men: 0.53 million 30–34, men: 0.56 million 35–39, men: 0.52 million 40–44, men: 0.36 million 45–49, men: 0.33 million 50–54, men: 0.3 million 55–59, men: 0.27 million 60–64, men: 0.22 million 65–69, men: 0.17 million 70–74, men: 0.14 million 75–79, men: 0.1 million 80–84, men: 0.06 million 85–89, men: 0.03 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.35 million 5–9, women: 0.38 million 10–14, women: 0.42 million 15–19, women: 0.36 million 20–24, women: 0.36 million 25–29, women: 0.51 million 30–34, women: 0.55 million 35–39, women: 0.52 million 40–44, women: 0.36 million 45–49, women: 0.34 million 50–54, women: 0.31 million 55–59, women: 0.27 million 60–64, women: 0.22 million 65–69, women: 0.18 million 70–74, women: 0.15 million 75–79, women: 0.11 million 80–84, women: 0.08 million 85–89, women: 0.04 million 90–94, women: 0.02 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.35 million 5–9, men: 0.37 million 10–14, men: 0.4 million 15–19, men: 0.44 million 20–24, men: 0.38 million 25–29, men: 0.37 million 30–34, men: 0.51 million 35–39, men: 0.53 million 40–44, men: 0.5 million 45–49, men: 0.34 million 50–54, men: 0.32 million 55–59, men: 0.29 million 60–64, men: 0.25 million 65–69, men: 0.2 million 70–74, men: 0.15 million 75–79, men: 0.11 million 80–84, men: 0.07 million 85–89, men: 0.04 million 90–94, men: 0.02 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.33 million 5–9, women: 0.35 million 10–14, women: 0.38 million 15–19, women: 0.41 million 20–24, women: 0.36 million 25–29, women: 0.35 million 30–34, women: 0.5 million 35–39, women: 0.53 million 40–44, women: 0.51 million 45–49, women: 0.35 million 50–54, women: 0.33 million 55–59, women: 0.3 million 60–64, women: 0.26 million 65–69, women: 0.21 million 70–74, women: 0.16 million 75–79, women: 0.13 million 80–84, women: 0.09 million 85–89, women: 0.05 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 1m 0 1m Men Women 0–4, men: 0.31 million 5–9, men: 0.34 million 10–14, men: 0.37 million 15–19, men: 0.4 million 20–24, men: 0.43 million 25–29, men: 0.37 million 30–34, men: 0.36 million 35–39, men: 0.48 million 40–44, men: 0.51 million 45–49, men: 0.48 million 50–54, men: 0.33 million 55–59, men: 0.3 million 60–64, men: 0.27 million 65–69, men: 0.23 million 70–74, men: 0.17 million 75–79, men: 0.12 million 80–84, men: 0.08 million 85–89, men: 0.04 million 90–94, men: 0.02 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.3 million 5–9, women: 0.33 million 10–14, women: 0.35 million 15–19, women: 0.37 million 20–24, women: 0.41 million 25–29, women: 0.35 million 30–34, women: 0.35 million 35–39, women: 0.49 million 40–44, women: 0.52 million 45–49, women: 0.5 million 50–54, women: 0.35 million 55–59, women: 0.32 million 60–64, women: 0.29 million 65–69, women: 0.24 million 70–74, women: 0.19 million 75–79, women: 0.14 million 80–84, women: 0.1 million 85–89, women: 0.06 million 90–94, women: 0.03 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.32 million 5–9, men: 0.3 million 10–14, men: 0.34 million 15–19, men: 0.36 million 20–24, men: 0.38 million 25–29, men: 0.42 million 30–34, men: 0.35 million 35–39, men: 0.34 million 40–44, men: 0.47 million 45–49, men: 0.5 million 50–54, men: 0.46 million 55–59, men: 0.31 million 60–64, men: 0.28 million 65–69, men: 0.24 million 70–74, men: 0.2 million 75–79, men: 0.14 million 80–84, men: 0.09 million 85–89, men: 0.05 million 90–94, men: 0.02 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.3 million 5–9, women: 0.29 million 10–14, women: 0.32 million 15–19, women: 0.35 million 20–24, women: 0.36 million 25–29, women: 0.4 million 30–34, women: 0.34 million 35–39, women: 0.34 million 40–44, women: 0.48 million 45–49, women: 0.52 million 50–54, women: 0.49 million 55–59, women: 0.34 million 60–64, women: 0.31 million 65–69, women: 0.27 million 70–74, women: 0.22 million 75–79, women: 0.16 million 80–84, women: 0.11 million 85–89, women: 0.07 million 90–94, women: 0.03 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.29 million 5–9, men: 0.32 million 10–14, men: 0.3 million 15–19, men: 0.33 million 20–24, men: 0.35 million 25–29, men: 0.37 million 30–34, men: 0.41 million 35–39, men: 0.34 million 40–44, men: 0.34 million 45–49, men: 0.46 million 50–54, men: 0.48 million 55–59, men: 0.44 million 60–64, men: 0.29 million 65–69, men: 0.25 million 70–74, men: 0.21 million 75–79, men: 0.16 million 80–84, men: 0.1 million 85–89, men: 0.05 million 90–94, men: 0.02 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.27 million 5–9, women: 0.3 million 10–14, women: 0.29 million 15–19, women: 0.32 million 20–24, women: 0.34 million 25–29, women: 0.35 million 30–34, women: 0.39 million 35–39, women: 0.33 million 40–44, women: 0.33 million 45–49, women: 0.47 million 50–54, women: 0.51 million 55–59, women: 0.48 million 60–64, women: 0.32 million 65–69, women: 0.29 million 70–74, women: 0.24 million 75–79, women: 0.19 million 80–84, women: 0.12 million 85–89, women: 0.07 million 90–94, women: 0.03 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.25 million 5–9, men: 0.29 million 10–14, men: 0.32 million 15–19, men: 0.3 million 20–24, men: 0.33 million 25–29, men: 0.34 million 30–34, men: 0.36 million 35–39, men: 0.4 million 40–44, men: 0.34 million 45–49, men: 0.33 million 50–54, men: 0.45 million 55–59, men: 0.46 million 60–64, men: 0.41 million 65–69, men: 0.26 million 70–74, men: 0.21 million 75–79, men: 0.16 million 80–84, men: 0.11 million 85–89, men: 0.06 million 90–94, men: 0.02 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.23 million 5–9, women: 0.27 million 10–14, women: 0.3 million 15–19, women: 0.29 million 20–24, women: 0.31 million 25–29, women: 0.33 million 30–34, women: 0.34 million 35–39, women: 0.38 million 40–44, women: 0.33 million 45–49, women: 0.33 million 50–54, women: 0.47 million 55–59, women: 0.49 million 60–64, women: 0.46 million 65–69, women: 0.3 million 70–74, women: 0.26 million 75–79, women: 0.2 million 80–84, women: 0.14 million 85–89, women: 0.08 million 90–94, women: 0.03 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.23 million 5–9, men: 0.24 million 10–14, men: 0.28 million 15–19, men: 0.31 million 20–24, men: 0.29 million 25–29, men: 0.32 million 30–34, men: 0.34 million 35–39, men: 0.36 million 40–44, men: 0.4 million 45–49, men: 0.33 million 50–54, men: 0.32 million 55–59, men: 0.43 million 60–64, men: 0.43 million 65–69, men: 0.38 million 70–74, men: 0.23 million 75–79, men: 0.17 million 80–84, men: 0.12 million 85–89, men: 0.07 million 90–94, men: 0.03 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.22 million 5–9, women: 0.22 million 10–14, women: 0.26 million 15–19, women: 0.29 million 20–24, women: 0.28 million 25–29, women: 0.3 million 30–34, women: 0.32 million 35–39, women: 0.33 million 40–44, women: 0.38 million 45–49, women: 0.32 million 50–54, women: 0.32 million 55–59, women: 0.46 million 60–64, women: 0.48 million 65–69, women: 0.43 million 70–74, women: 0.27 million 75–79, women: 0.22 million 80–84, women: 0.16 million 85–89, women: 0.1 million 90–94, women: 0.04 million 95–99, women: 0.01 million 100+, women: 0 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men: 0.2 million 85–89, men: 0.14 million 90–94, men: 0.1 million 95–99, men: 0.05 million 100+, men: 0.01 million 0–4, women: 0.1 million 5–9, women: 0.1 million 10–14, women: 0.11 million 15–19, women: 0.11 million 20–24, women: 0.12 million 25–29, women: 0.13 million 30–34, women: 0.13 million 35–39, women: 0.14 million 40–44, women: 0.14 million 45–49, women: 0.15 million 50–54, women: 0.16 million 55–59, women: 0.18 million 60–64, women: 0.18 million 65–69, women: 0.18 million 70–74, women: 0.19 million 75–79, women: 0.21 million 80–84, women: 0.21 million 85–89, women: 0.16 million 90–94, women: 0.12 million 95–99, women: 0.06 million 100+, women: 0.02 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.1 million 5–9, men: 0.1 million 10–14, men: 0.11 million 15–19, men: 0.12 million 20–24, men: 0.12 million 25–29, men: 0.13 million 30–34, men: 0.13 million 35–39, men: 0.14 million 40–44, men: 0.15 million 45–49, men: 0.15 million 50–54, men: 0.16 million 55–59, men: 0.17 million 60–64, men: 0.18 million 65–69, men: 0.19 million 70–74, men: 0.19 million 75–79, men: 0.18 million 80–84, men: 0.18 million 85–89, men: 0.16 million 90–94, men: 0.09 million 95–99, men: 0.04 million 100+, men: 0.01 million 0–4, women: 0.09 million 5–9, women: 0.1 million 10–14, women: 0.1 million 15–19, women: 0.11 million 20–24, women: 0.11 million 25–29, women: 0.12 million 30–34, women: 0.12 million 35–39, women: 0.13 million 40–44, women: 0.14 million 45–49, women: 0.14 million 50–54, women: 0.15 million 55–59, women: 0.16 million 60–64, women: 0.17 million 65–69, women: 0.18 million 70–74, women: 0.18 million 75–79, women: 0.18 million 80–84, women: 0.19 million 85–89, women: 0.17 million 90–94, women: 0.11 million 95–99, women: 0.06 million 100+, women: 0.03 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m 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 1.44 2023 · 187th of 237 · UN WPP 2024
Median age 41.7 2023 · 41st of 237 · UN WPP 2024
Aged 65 and over 17% 2025, Projection, medium variant · UN WPP 2024
Cuba emitted 24.4 Mt of CO2 from fossil fuels and cement in 2024.
Cuba’s CO2 emissions, million tonnes, 1990–2024 0 Mt 10 Mt 20 Mt 30 Mt 40 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 24Mt 2024 · 81st of 214 · Global Carbon Budget
CO2 per person 2.2t 2024 · 127th of 213 · Global Carbon Budget
CO2 since 1750 1,814Mt 2024 · 71st of 214 · Global Carbon Budget
Shown only where a source covers Cuba.
Refugees 155 refugees and others in need of protection hosted, 2025
317,445 from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 123 entries on the US, EU and UK lists give it as an address or nationality: US 123
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$7.78billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents 4 publicly known incidents affecting Cuba, 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
37 measures on this site have a recent figure for Cuba.
Sources for this page World Bank Indicators Economic growth, Unemployment, Trade, Foreign investment in, Population, Internet users 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 production, Maize imports, Rice production, Rice imports, Soybean production, … Our World in Data CO2 CO2 emissions, CO2 per person, CO2 since 1750 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water stress FAO AQUASTAT Water from abroad US Consolidated Screening List Sanctions list entries, Sanctions AidData Chinese development finance Chinese loans and grants EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents