1 Dependencies at a glance North Korea imports all of its phosphate supply and 99% of the oil 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 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 Exports <0.1% of what it producesFAOSTAT, use 2021 · FAOSTAT, imports 2023 No partner data from the source Rice Imports 10% of the rice it uses FAOSTAT, 2023 No partner data from the source Soybeans Imported 4.3% of the soybeans it used in 2013 No recent data: the latest balance is from 2013 FAOSTAT, use 2013 · FAOSTAT, imports 2023 No partner data from the source Potash Exports exceed recorded supply Goods passing through, or changes in stocks, can cause this; FAOSTAT’s figures do not show which FAOSTAT, supply 2024 · UN Comtrade, exports 2025 China (buyers)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 99% 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 Exports <0.1% of what it produces
Main partners: No partner data from the source
FAOSTAT, use 2021 · FAOSTAT, imports 2023
Rice Imports 10% of the rice it uses
Main partners: No partner data from the source
FAOSTAT, 2023
Soybeans Imported 4.3% of the soybeans it used in 2013
No recent data: the latest balance is from 2013
Main partners: No partner data from the source
FAOSTAT, use 2013 · FAOSTAT, imports 2023
Potash Exports exceed recorded supply
Goods passing through, or changes in stocks, can cause this; FAOSTAT’s figures do not show which
Main partners: China (buyers)
FAOSTAT, supply 2024 · UN Comtrade, exports 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
Unemployment 3.5% 2025 · 122nd of 181 · World Bank
Foreign investment in US$9.2million 2025 · 174th of 200 · World Bank
North Korea had 27 m people in 2025.
Population, 1950–2100 0 10 m 20 m 30 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
North Korea’s population by age Men Women 0–4, men: 0.87 million 5–9, men: 0.79 million 10–14, men: 0.75 million 15–19, men: 0.57 million 20–24, men: 0.42 million 25–29, men: 0.33 million 30–34, men: 0.28 million 35–39, men: 0.25 million 40–44, men: 0.19 million 45–49, men: 0.17 million 50–54, men: 0.15 million 55–59, men: 0.12 million 60–64, men: 0.09 million 65–69, men: 0.07 million 70–74, men: 0.03 million 75–79, men: 0.02 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: 0.88 million 5–9, women: 0.83 million 10–14, women: 0.81 million 15–19, women: 0.68 million 20–24, women: 0.57 million 25–29, women: 0.47 million 30–34, women: 0.36 million 35–39, women: 0.27 million 40–44, women: 0.24 million 45–49, women: 0.22 million 50–54, women: 0.19 million 55–59, women: 0.17 million 60–64, women: 0.12 million 65–69, women: 0.09 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: 0.72 million 10–14, men: 0.75 million 15–19, men: 0.69 million 20–24, men: 0.44 million 25–29, men: 0.26 million 30–34, men: 0.21 million 35–39, men: 0.19 million 40–44, men: 0.17 million 45–49, men: 0.13 million 50–54, men: 0.12 million 55–59, men: 0.1 million 60–64, men: 0.08 million 65–69, men: 0.06 million 70–74, men: 0.04 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: 0.6 million 5–9, women: 0.74 million 10–14, women: 0.78 million 15–19, women: 0.77 million 20–24, women: 0.61 million 25–29, women: 0.49 million 30–34, women: 0.4 million 35–39, women: 0.31 million 40–44, women: 0.23 million 45–49, women: 0.21 million 50–54, women: 0.18 million 55–59, women: 0.16 million 60–64, women: 0.14 million 65–69, women: 0.09 million 70–74, women: 0.06 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: 0.92 million 5–9, men: 0.58 million 10–14, men: 0.71 million 15–19, men: 0.73 million 20–24, men: 0.67 million 25–29, men: 0.43 million 30–34, men: 0.25 million 35–39, men: 0.2 million 40–44, men: 0.18 million 45–49, men: 0.16 million 50–54, men: 0.13 million 55–59, men: 0.11 million 60–64, men: 0.09 million 65–69, men: 0.07 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: 0.89 million 5–9, women: 0.57 million 10–14, women: 0.72 million 15–19, women: 0.76 million 20–24, women: 0.75 million 25–29, women: 0.59 million 30–34, women: 0.47 million 35–39, women: 0.39 million 40–44, women: 0.3 million 45–49, women: 0.22 million 50–54, women: 0.2 million 55–59, women: 0.17 million 60–64, women: 0.14 million 65–69, women: 0.12 million 70–74, women: 0.07 million 75–79, women: 0.04 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: 1 million 5–9, men: 0.88 million 10–14, men: 0.57 million 15–19, men: 0.7 million 20–24, men: 0.72 million 25–29, men: 0.66 million 30–34, men: 0.42 million 35–39, men: 0.25 million 40–44, men: 0.19 million 45–49, men: 0.17 million 50–54, men: 0.15 million 55–59, men: 0.11 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: 0.97 million 5–9, women: 0.86 million 10–14, women: 0.56 million 15–19, women: 0.71 million 20–24, women: 0.75 million 25–29, women: 0.73 million 30–34, women: 0.58 million 35–39, women: 0.46 million 40–44, women: 0.37 million 45–49, women: 0.29 million 50–54, women: 0.21 million 55–59, women: 0.18 million 60–64, women: 0.16 million 65–69, women: 0.12 million 70–74, women: 0.09 million 75–79, women: 0.05 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: 1.2 million 5–9, men: 0.98 million 10–14, men: 0.87 million 15–19, men: 0.56 million 20–24, men: 0.68 million 25–29, men: 0.7 million 30–34, men: 0.64 million 35–39, men: 0.41 million 40–44, men: 0.24 million 45–49, men: 0.18 million 50–54, men: 0.16 million 55–59, men: 0.14 million 60–64, men: 0.1 million 65–69, men: 0.08 million 70–74, men: 0.06 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: 1.2 million 5–9, women: 0.94 million 10–14, women: 0.84 million 15–19, women: 0.56 million 20–24, women: 0.7 million 25–29, women: 0.74 million 30–34, women: 0.72 million 35–39, women: 0.57 million 40–44, women: 0.45 million 45–49, women: 0.36 million 50–54, women: 0.28 million 55–59, women: 0.2 million 60–64, women: 0.17 million 65–69, women: 0.14 million 70–74, women: 0.1 million 75–79, women: 0.07 million 80–84, women: 0.03 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: 1.2 million 5–9, men: 1.2 million 10–14, men: 0.96 million 15–19, men: 0.86 million 20–24, men: 0.56 million 25–29, men: 0.67 million 30–34, men: 0.69 million 35–39, men: 0.63 million 40–44, men: 0.4 million 45–49, men: 0.23 million 50–54, men: 0.18 million 55–59, men: 0.15 million 60–64, men: 0.13 million 65–69, men: 0.08 million 70–74, men: 0.06 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: 1.1 million 5–9, women: 1.2 million 10–14, women: 0.93 million 15–19, women: 0.84 million 20–24, women: 0.55 million 25–29, women: 0.69 million 30–34, women: 0.73 million 35–39, women: 0.71 million 40–44, women: 0.55 million 45–49, women: 0.44 million 50–54, women: 0.35 million 55–59, women: 0.26 million 60–64, women: 0.18 million 65–69, women: 0.15 million 70–74, women: 0.11 million 75–79, women: 0.07 million 80–84, women: 0.04 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: 0.9 million 5–9, men: 1.2 million 10–14, men: 1.2 million 15–19, men: 0.96 million 20–24, men: 0.85 million 25–29, men: 0.55 million 30–34, men: 0.66 million 35–39, men: 0.68 million 40–44, men: 0.62 million 45–49, men: 0.38 million 50–54, men: 0.22 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: 0.04 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: 0.86 million 5–9, women: 1.1 million 10–14, women: 1.2 million 15–19, women: 0.93 million 20–24, women: 0.83 million 25–29, women: 0.55 million 30–34, women: 0.69 million 35–39, women: 0.72 million 40–44, women: 0.7 million 45–49, women: 0.54 million 50–54, women: 0.43 million 55–59, women: 0.34 million 60–64, women: 0.24 million 65–69, women: 0.16 million 70–74, women: 0.12 million 75–79, women: 0.08 million 80–84, women: 0.04 million 85–89, women: 0.02 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: 0.96 million 5–9, men: 0.89 million 10–14, men: 1.1 million 15–19, men: 1.2 million 20–24, men: 0.95 million 25–29, men: 0.84 million 30–34, men: 0.54 million 35–39, men: 0.65 million 40–44, men: 0.67 million 45–49, men: 0.6 million 50–54, men: 0.37 million 55–59, men: 0.21 million 60–64, men: 0.15 million 65–69, men: 0.11 million 70–74, men: 0.08 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: 0.91 million 5–9, women: 0.85 million 10–14, women: 1.1 million 15–19, women: 1.2 million 20–24, women: 0.92 million 25–29, women: 0.83 million 30–34, women: 0.54 million 35–39, women: 0.68 million 40–44, women: 0.71 million 45–49, women: 0.69 million 50–54, women: 0.53 million 55–59, women: 0.41 million 60–64, women: 0.32 million 65–69, women: 0.22 million 70–74, women: 0.13 million 75–79, women: 0.09 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: 1 million 5–9, men: 0.95 million 10–14, men: 0.89 million 15–19, men: 1.1 million 20–24, men: 1.2 million 25–29, men: 0.94 million 30–34, men: 0.83 million 35–39, men: 0.54 million 40–44, men: 0.64 million 45–49, men: 0.65 million 50–54, men: 0.58 million 55–59, men: 0.35 million 60–64, men: 0.19 million 65–69, men: 0.13 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: 0.97 million 5–9, women: 0.91 million 10–14, women: 0.85 million 15–19, women: 1.1 million 20–24, women: 1.2 million 25–29, women: 0.92 million 30–34, women: 0.82 million 35–39, women: 0.54 million 40–44, women: 0.68 million 45–49, women: 0.7 million 50–54, women: 0.68 million 55–59, women: 0.52 million 60–64, women: 0.39 million 65–69, women: 0.28 million 70–74, women: 0.18 million 75–79, women: 0.1 million 80–84, women: 0.06 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: 1.1 million 5–9, men: 1 million 10–14, men: 0.95 million 15–19, men: 0.88 million 20–24, men: 1.1 million 25–29, men: 1.2 million 30–34, men: 0.93 million 35–39, men: 0.83 million 40–44, men: 0.53 million 45–49, men: 0.63 million 50–54, men: 0.63 million 55–59, men: 0.55 million 60–64, men: 0.32 million 65–69, men: 0.16 million 70–74, men: 0.1 million 75–79, men: 0.06 million 80–84, men: 0.03 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 1 million 5–9, women: 0.97 million 10–14, women: 0.91 million 15–19, women: 0.85 million 20–24, women: 1.1 million 25–29, women: 1.2 million 30–34, women: 0.91 million 35–39, women: 0.82 million 40–44, women: 0.53 million 45–49, women: 0.67 million 50–54, women: 0.69 million 55–59, women: 0.66 million 60–64, women: 0.5 million 65–69, women: 0.36 million 70–74, women: 0.24 million 75–79, women: 0.14 million 80–84, women: 0.06 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: 1 million 5–9, men: 1.1 million 10–14, men: 1 million 15–19, men: 0.94 million 20–24, men: 0.87 million 25–29, men: 1.1 million 30–34, men: 1.2 million 35–39, men: 0.91 million 40–44, men: 0.8 million 45–49, men: 0.51 million 50–54, men: 0.6 million 55–59, men: 0.58 million 60–64, men: 0.48 million 65–69, men: 0.25 million 70–74, men: 0.11 million 75–79, men: 0.06 million 80–84, men: 0.03 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.99 million 5–9, women: 1 million 10–14, women: 0.95 million 15–19, women: 0.9 million 20–24, women: 0.84 million 25–29, women: 1.1 million 30–34, women: 1.1 million 35–39, women: 0.9 million 40–44, women: 0.81 million 45–49, women: 0.52 million 50–54, women: 0.65 million 55–59, women: 0.66 million 60–64, women: 0.62 million 65–69, women: 0.44 million 70–74, women: 0.3 million 75–79, women: 0.18 million 80–84, women: 0.08 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: 0.92 million 5–9, men: 1 million 10–14, men: 1 million 15–19, men: 0.99 million 20–24, men: 0.93 million 25–29, men: 0.86 million 30–34, men: 1.1 million 35–39, men: 1.1 million 40–44, men: 0.89 million 45–49, men: 0.78 million 50–54, men: 0.49 million 55–59, men: 0.56 million 60–64, men: 0.51 million 65–69, men: 0.38 million 70–74, men: 0.18 million 75–79, men: 0.07 million 80–84, men: 0.03 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.87 million 5–9, women: 0.97 million 10–14, women: 1 million 15–19, women: 0.95 million 20–24, women: 0.89 million 25–29, women: 0.83 million 30–34, women: 1.1 million 35–39, women: 1.1 million 40–44, women: 0.89 million 45–49, women: 0.79 million 50–54, women: 0.51 million 55–59, women: 0.63 million 60–64, women: 0.62 million 65–69, women: 0.56 million 70–74, women: 0.38 million 75–79, women: 0.23 million 80–84, women: 0.12 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: 0.85 million 5–9, men: 0.91 million 10–14, men: 1 million 15–19, men: 1 million 20–24, men: 0.98 million 25–29, men: 0.91 million 30–34, men: 0.84 million 35–39, men: 1.1 million 40–44, men: 1.1 million 45–49, men: 0.87 million 50–54, men: 0.75 million 55–59, men: 0.46 million 60–64, men: 0.5 million 65–69, men: 0.42 million 70–74, men: 0.29 million 75–79, men: 0.12 million 80–84, men: 0.04 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.8 million 5–9, women: 0.87 million 10–14, women: 0.96 million 15–19, women: 0.99 million 20–24, women: 0.94 million 25–29, women: 0.88 million 30–34, women: 0.82 million 35–39, women: 1.1 million 40–44, women: 1.1 million 45–49, women: 0.88 million 50–54, women: 0.78 million 55–59, women: 0.5 million 60–64, women: 0.59 million 65–69, women: 0.57 million 70–74, women: 0.48 million 75–79, women: 0.3 million 80–84, women: 0.15 million 85–89, women: 0.06 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: 0.85 million 5–9, men: 0.84 million 10–14, men: 0.91 million 15–19, men: 1 million 20–24, men: 1 million 25–29, men: 0.97 million 30–34, men: 0.9 million 35–39, men: 0.83 million 40–44, men: 1.1 million 45–49, men: 1.1 million 50–54, men: 0.84 million 55–59, men: 0.72 million 60–64, men: 0.43 million 65–69, men: 0.44 million 70–74, men: 0.34 million 75–79, men: 0.21 million 80–84, men: 0.07 million 85–89, men: 0.02 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.8 million 5–9, women: 0.8 million 10–14, women: 0.87 million 15–19, women: 0.96 million 20–24, women: 0.99 million 25–29, women: 0.93 million 30–34, women: 0.88 million 35–39, women: 0.82 million 40–44, women: 1.1 million 45–49, women: 1.1 million 50–54, women: 0.86 million 55–59, women: 0.76 million 60–64, women: 0.48 million 65–69, women: 0.55 million 70–74, women: 0.5 million 75–79, women: 0.38 million 80–84, women: 0.2 million 85–89, women: 0.07 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: 0.88 million 5–9, men: 0.84 million 10–14, men: 0.84 million 15–19, men: 0.9 million 20–24, men: 0.99 million 25–29, men: 1 million 30–34, men: 0.95 million 35–39, men: 0.89 million 40–44, men: 0.82 million 45–49, men: 1 million 50–54, men: 1.1 million 55–59, men: 0.81 million 60–64, men: 0.68 million 65–69, men: 0.39 million 70–74, men: 0.36 million 75–79, men: 0.25 million 80–84, men: 0.12 million 85–89, men: 0.03 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.83 million 5–9, women: 0.8 million 10–14, women: 0.8 million 15–19, women: 0.86 million 20–24, women: 0.95 million 25–29, women: 0.98 million 30–34, women: 0.93 million 35–39, women: 0.87 million 40–44, women: 0.81 million 45–49, women: 1 million 50–54, women: 1.1 million 55–59, women: 0.84 million 60–64, women: 0.73 million 65–69, women: 0.45 million 70–74, women: 0.49 million 75–79, women: 0.41 million 80–84, women: 0.26 million 85–89, women: 0.1 million 90–94, women: 0.03 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: 0.87 million 5–9, men: 0.87 million 10–14, men: 0.84 million 15–19, men: 0.83 million 20–24, men: 0.89 million 25–29, men: 0.98 million 30–34, men: 1 million 35–39, men: 0.94 million 40–44, men: 0.88 million 45–49, men: 0.8 million 50–54, men: 1 million 55–59, men: 1 million 60–64, men: 0.76 million 65–69, men: 0.61 million 70–74, men: 0.33 million 75–79, men: 0.27 million 80–84, men: 0.15 million 85–89, men: 0.06 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.82 million 5–9, women: 0.83 million 10–14, women: 0.8 million 15–19, women: 0.79 million 20–24, women: 0.86 million 25–29, women: 0.95 million 30–34, women: 0.98 million 35–39, women: 0.92 million 40–44, women: 0.86 million 45–49, women: 0.8 million 50–54, women: 1 million 55–59, women: 1.1 million 60–64, women: 0.81 million 65–69, women: 0.68 million 70–74, women: 0.4 million 75–79, women: 0.4 million 80–84, women: 0.28 million 85–89, women: 0.14 million 90–94, women: 0.04 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: 0.81 million 5–9, men: 0.87 million 10–14, men: 0.87 million 15–19, men: 0.83 million 20–24, men: 0.82 million 25–29, men: 0.88 million 30–34, men: 0.98 million 35–39, men: 1 million 40–44, men: 0.93 million 45–49, men: 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million 25–29, men: 0.81 million 30–34, men: 0.88 million 35–39, men: 0.97 million 40–44, men: 0.99 million 45–49, men: 0.92 million 50–54, men: 0.84 million 55–59, men: 0.75 million 60–64, men: 0.92 million 65–69, men: 0.88 million 70–74, men: 0.59 million 75–79, men: 0.4 million 80–84, men: 0.16 million 85–89, men: 0.08 million 90–94, men: 0.02 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.68 million 5–9, women: 0.76 million 10–14, women: 0.82 million 15–19, women: 0.82 million 20–24, women: 0.78 million 25–29, women: 0.77 million 30–34, women: 0.85 million 35–39, women: 0.94 million 40–44, women: 0.96 million 45–49, women: 0.9 million 50–54, women: 0.84 million 55–59, women: 0.77 million 60–64, women: 0.96 million 65–69, women: 0.96 million 70–74, women: 0.69 million 75–79, women: 0.51 million 80–84, women: 0.24 million 85–89, women: 0.15 million 90–94, women: 0.06 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: 0.67 million 5–9, men: 0.72 million 10–14, men: 0.8 million 15–19, men: 0.86 million 20–24, men: 0.85 million 25–29, men: 0.81 million 30–34, men: 0.8 million 35–39, men: 0.87 million 40–44, men: 0.96 million 45–49, men: 0.97 million 50–54, men: 0.9 million 55–59, men: 0.81 million 60–64, men: 0.72 million 65–69, men: 0.84 million 70–74, men: 0.76 million 75–79, men: 0.46 million 80–84, men: 0.26 million 85–89, men: 0.08 million 90–94, men: 0.03 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.64 million 5–9, women: 0.68 million 10–14, women: 0.76 million 15–19, women: 0.81 million 20–24, women: 0.81 million 25–29, women: 0.77 million 30–34, women: 0.77 million 35–39, women: 0.84 million 40–44, women: 0.93 million 45–49, women: 0.95 million 50–54, women: 0.89 million 55–59, women: 0.82 million 60–64, women: 0.74 million 65–69, women: 0.91 million 70–74, women: 0.87 million 75–79, women: 0.58 million 80–84, women: 0.37 million 85–89, women: 0.13 million 90–94, women: 0.06 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: 0.67 million 5–9, men: 0.67 million 10–14, men: 0.72 million 15–19, men: 0.8 million 20–24, men: 0.84 million 25–29, men: 0.84 million 30–34, men: 0.81 million 35–39, men: 0.8 million 40–44, men: 0.86 million 45–49, men: 0.94 million 50–54, men: 0.95 million 55–59, men: 0.87 million 60–64, men: 0.77 million 65–69, men: 0.66 million 70–74, men: 0.73 million 75–79, men: 0.6 million 80–84, men: 0.31 million 85–89, men: 0.13 million 90–94, men: 0.03 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.64 million 5–9, women: 0.63 million 10–14, women: 0.68 million 15–19, women: 0.75 million 20–24, women: 0.8 million 25–29, women: 0.8 million 30–34, women: 0.77 million 35–39, women: 0.77 million 40–44, women: 0.84 million 45–49, women: 0.92 million 50–54, women: 0.94 million 55–59, women: 0.87 million 60–64, women: 0.79 million 65–69, women: 0.7 million 70–74, women: 0.83 million 75–79, women: 0.74 million 80–84, women: 0.43 million 85–89, women: 0.21 million 90–94, women: 0.05 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: 0.68 million 5–9, men: 0.67 million 10–14, men: 0.67 million 15–19, men: 0.71 million 20–24, men: 0.78 million 25–29, men: 0.84 million 30–34, men: 0.84 million 35–39, men: 0.8 million 40–44, men: 0.79 million 45–49, men: 0.85 million 50–54, men: 0.92 million 55–59, men: 0.92 million 60–64, men: 0.83 million 65–69, men: 0.72 million 70–74, men: 0.58 million 75–79, men: 0.58 million 80–84, men: 0.41 million 85–89, men: 0.16 million 90–94, men: 0.05 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.64 million 5–9, women: 0.63 million 10–14, women: 0.63 million 15–19, women: 0.68 million 20–24, women: 0.74 million 25–29, women: 0.79 million 30–34, women: 0.8 million 35–39, women: 0.77 million 40–44, women: 0.77 million 45–49, women: 0.83 million 50–54, women: 0.91 million 55–59, women: 0.92 million 60–64, women: 0.85 million 65–69, women: 0.76 million 70–74, women: 0.65 million 75–79, women: 0.71 million 80–84, women: 0.55 million 85–89, women: 0.25 million 90–94, women: 0.09 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: 0.66 million 5–9, men: 0.68 million 10–14, men: 0.67 million 15–19, men: 0.67 million 20–24, men: 0.7 million 25–29, men: 0.78 million 30–34, men: 0.83 million 35–39, men: 0.83 million 40–44, men: 0.79 million 45–49, men: 0.78 million 50–54, men: 0.83 million 55–59, men: 0.9 million 60–64, men: 0.88 million 65–69, men: 0.77 million 70–74, men: 0.63 million 75–79, men: 0.47 million 80–84, men: 0.4 million 85–89, men: 0.22 million 90–94, men: 0.06 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.62 million 5–9, women: 0.64 million 10–14, women: 0.63 million 15–19, women: 0.63 million 20–24, women: 0.66 million 25–29, women: 0.73 million 30–34, women: 0.79 million 35–39, women: 0.8 million 40–44, women: 0.76 million 45–49, women: 0.76 million 50–54, women: 0.82 million 55–59, women: 0.9 million 60–64, women: 0.9 million 65–69, women: 0.81 million 70–74, women: 0.7 million 75–79, women: 0.56 million 80–84, women: 0.53 million 85–89, women: 0.34 million 90–94, women: 0.11 million 95–99, women: 0.02 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.61 million 5–9, men: 0.66 million 10–14, men: 0.67 million 15–19, men: 0.67 million 20–24, men: 0.66 million 25–29, men: 0.7 million 30–34, men: 0.77 million 35–39, men: 0.83 million 40–44, men: 0.83 million 45–49, men: 0.78 million 50–54, men: 0.77 million 55–59, men: 0.81 million 60–64, men: 0.86 million 65–69, men: 0.82 million 70–74, men: 0.69 million 75–79, men: 0.52 million 80–84, men: 0.33 million 85–89, men: 0.22 million 90–94, men: 0.08 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.58 million 5–9, women: 0.62 million 10–14, women: 0.64 million 15–19, women: 0.63 million 20–24, women: 0.62 million 25–29, women: 0.66 million 30–34, women: 0.73 million 35–39, women: 0.79 million 40–44, women: 0.79 million 45–49, women: 0.76 million 50–54, women: 0.75 million 55–59, women: 0.81 million 60–64, women: 0.87 million 65–69, women: 0.86 million 70–74, women: 0.75 million 75–79, women: 0.61 million 80–84, women: 0.43 million 85–89, women: 0.33 million 90–94, women: 0.15 million 95–99, women: 0.03 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.56 million 5–9, men: 0.61 million 10–14, men: 0.65 million 15–19, men: 0.67 million 20–24, men: 0.65 million 25–29, men: 0.65 million 30–34, men: 0.69 million 35–39, men: 0.77 million 40–44, men: 0.82 million 45–49, men: 0.82 million 50–54, men: 0.77 million 55–59, men: 0.75 million 60–64, men: 0.78 million 65–69, men: 0.81 million 70–74, men: 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men: 0.81 million 50–54, men: 0.8 million 55–59, men: 0.75 million 60–64, men: 0.72 million 65–69, men: 0.74 million 70–74, men: 0.73 million 75–79, men: 0.62 million 80–84, men: 0.42 million 85–89, men: 0.22 million 90–94, men: 0.08 million 95–99, men: 0.02 million 100+, men: 0 million 0–4, women: 0.5 million 5–9, women: 0.52 million 10–14, women: 0.57 million 15–19, women: 0.62 million 20–24, women: 0.62 million 25–29, women: 0.61 million 30–34, women: 0.61 million 35–39, women: 0.66 million 40–44, women: 0.73 million 45–49, women: 0.78 million 50–54, women: 0.78 million 55–59, women: 0.74 million 60–64, women: 0.72 million 65–69, women: 0.76 million 70–74, women: 0.79 million 75–79, women: 0.71 million 80–84, women: 0.52 million 85–89, women: 0.31 million 90–94, women: 0.13 million 95–99, women: 0.04 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.52 million 5–9, men: 0.52 million 10–14, men: 0.55 million 15–19, men: 0.6 million 20–24, men: 0.64 million 25–29, men: 0.66 million 30–34, men: 0.65 million 35–39, men: 0.65 million 40–44, men: 0.69 million 45–49, men: 0.76 million 50–54, men: 0.8 million 55–59, men: 0.79 million 60–64, men: 0.73 million 65–69, men: 0.68 million 70–74, men: 0.67 million 75–79, men: 0.62 million 80–84, men: 0.46 million 85–89, men: 0.25 million 90–94, men: 0.09 million 95–99, men: 0.02 million 100+, men: 0 million 0–4, women: 0.49 million 5–9, women: 0.49 million 10–14, women: 0.52 million 15–19, women: 0.57 million 20–24, women: 0.61 million 25–29, women: 0.62 million 30–34, women: 0.61 million 35–39, women: 0.61 million 40–44, women: 0.65 million 45–49, women: 0.72 million 50–54, women: 0.77 million 55–59, women: 0.77 million 60–64, women: 0.72 million 65–69, women: 0.7 million 70–74, women: 0.71 million 75–79, women: 0.7 million 80–84, women: 0.57 million 85–89, women: 0.35 million 90–94, women: 0.15 million 95–99, women: 0.04 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.52 million 5–9, men: 0.52 million 10–14, men: 0.52 million 15–19, men: 0.55 million 20–24, men: 0.59 million 25–29, men: 0.64 million 30–34, men: 0.66 million 35–39, men: 0.65 million 40–44, men: 0.64 million 45–49, men: 0.68 million 50–54, men: 0.75 million 55–59, men: 0.79 million 60–64, men: 0.76 million 65–69, men: 0.69 million 70–74, men: 0.63 million 75–79, men: 0.58 million 80–84, men: 0.47 million 85–89, men: 0.29 million 90–94, men: 0.11 million 95–99, men: 0.03 million 100+, men: 0 million 0–4, women: 0.49 million 5–9, women: 0.49 million 10–14, women: 0.49 million 15–19, women: 0.52 million 20–24, women: 0.56 million 25–29, women: 0.6 million 30–34, women: 0.62 million 35–39, women: 0.61 million 40–44, women: 0.61 million 45–49, women: 0.65 million 50–54, women: 0.72 million 55–59, women: 0.76 million 60–64, women: 0.75 million 65–69, women: 0.7 million 70–74, women: 0.66 million 75–79, women: 0.64 million 80–84, women: 0.57 million 85–89, women: 0.39 million 90–94, women: 0.18 million 95–99, women: 0.05 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.5 million 5–9, men: 0.52 million 10–14, men: 0.52 million 15–19, men: 0.52 million 20–24, men: 0.54 million 25–29, men: 0.59 million 30–34, men: 0.64 million 35–39, men: 0.65 million 40–44, men: 0.64 million 45–49, men: 0.64 million 50–54, men: 0.67 million 55–59, men: 0.73 million 60–64, men: 0.76 million 65–69, men: 0.73 million 70–74, men: 0.64 million 75–79, men: 0.54 million 80–84, men: 0.45 million 85–89, men: 0.3 million 90–94, men: 0.13 million 95–99, men: 0.03 million 100+, men: 0 million 0–4, women: 0.47 million 5–9, women: 0.49 million 10–14, women: 0.49 million 15–19, women: 0.49 million 20–24, women: 0.51 million 25–29, women: 0.56 million 30–34, women: 0.6 million 35–39, women: 0.62 million 40–44, women: 0.61 million 45–49, women: 0.61 million 50–54, women: 0.64 million 55–59, women: 0.71 million 60–64, women: 0.75 million 65–69, women: 0.73 million 70–74, women: 0.66 million 75–79, women: 0.59 million 80–84, women: 0.52 million 85–89, women: 0.39 million 90–94, women: 0.2 million 95–99, women: 0.06 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.47 million 5–9, men: 0.5 million 10–14, men: 0.51 million 15–19, men: 0.52 million 20–24, men: 0.51 million 25–29, men: 0.54 million 30–34, men: 0.59 million 35–39, men: 0.64 million 40–44, men: 0.65 million 45–49, men: 0.64 million 50–54, men: 0.63 million 55–59, men: 0.66 million 60–64, men: 0.71 million 65–69, men: 0.73 million 70–74, men: 0.68 million 75–79, men: 0.56 million 80–84, men: 0.43 million 85–89, men: 0.29 million 90–94, men: 0.15 million 95–99, men: 0.04 million 100+, men: 0.01 million 0–4, women: 0.44 million 5–9, women: 0.47 million 10–14, women: 0.48 million 15–19, women: 0.49 million 20–24, women: 0.48 million 25–29, women: 0.51 million 30–34, women: 0.56 million 35–39, women: 0.6 million 40–44, women: 0.62 million 45–49, women: 0.61 million 50–54, women: 0.6 million 55–59, women: 0.64 million 60–64, women: 0.7 million 65–69, women: 0.73 million 70–74, women: 0.7 million 75–79, women: 0.6 million 80–84, women: 0.49 million 85–89, women: 0.37 million 90–94, women: 0.21 million 95–99, women: 0.07 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 1m 0 1m Men Women 0–4, men: 0.43 million 5–9, men: 0.46 million 10–14, men: 0.5 million 15–19, men: 0.51 million 20–24, men: 0.51 million 25–29, men: 0.51 million 30–34, men: 0.54 million 35–39, men: 0.59 million 40–44, men: 0.63 million 45–49, men: 0.65 million 50–54, men: 0.63 million 55–59, men: 0.62 million 60–64, men: 0.65 million 65–69, men: 0.69 million 70–74, men: 0.68 million 75–79, men: 0.6 million 80–84, men: 0.45 million 85–89, men: 0.29 million 90–94, men: 0.15 million 95–99, men: 0.05 million 100+, men: 0.01 million 0–4, women: 0.41 million 5–9, women: 0.44 million 10–14, women: 0.47 million 15–19, women: 0.48 million 20–24, women: 0.48 million 25–29, women: 0.48 million 30–34, women: 0.51 million 35–39, women: 0.56 million 40–44, women: 0.6 million 45–49, women: 0.61 million 50–54, women: 0.6 million 55–59, women: 0.6 million 60–64, women: 0.63 million 65–69, women: 0.68 million 70–74, women: 0.69 million 75–79, women: 0.64 million 80–84, women: 0.51 million 85–89, women: 0.36 million 90–94, women: 0.21 million 95–99, women: 0.08 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: 0.41 million 5–9, men: 0.43 million 10–14, men: 0.46 million 15–19, men: 0.5 million 20–24, men: 0.51 million 25–29, men: 0.5 million 30–34, men: 0.51 million 35–39, men: 0.54 million 40–44, men: 0.59 million 45–49, men: 0.63 million 50–54, men: 0.64 million 55–59, men: 0.62 million 60–64, men: 0.61 million 65–69, men: 0.62 million 70–74, men: 0.64 million 75–79, men: 0.61 million 80–84, men: 0.49 million 85–89, men: 0.31 million 90–94, men: 0.15 million 95–99, men: 0.05 million 100+, men: 0.01 million 0–4, women: 0.39 million 5–9, women: 0.4 million 10–14, women: 0.44 million 15–19, women: 0.47 million 20–24, women: 0.48 million 25–29, women: 0.47 million 30–34, women: 0.48 million 35–39, women: 0.51 million 40–44, women: 0.55 million 45–49, women: 0.6 million 50–54, women: 0.61 million 55–59, women: 0.6 million 60–64, women: 0.59 million 65–69, women: 0.61 million 70–74, women: 0.65 million 75–79, women: 0.64 million 80–84, women: 0.54 million 85–89, women: 0.37 million 90–94, women: 0.2 million 95–99, women: 0.08 million 100+, women: 0.02 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 1.78 2023 · 130th of 237 · UN WPP 2024
Median age 36.0 2023 · 90th of 237 · UN WPP 2024
Aged 65 and over 13% 2025, Projection, medium variant · UN WPP 2024
Satellites owned in North Korea numbered 1 at the end of 2026.
Satellites in orbit 1 2026 · 64th of 81 · Orbital data from CelesTrak North Korea emitted 62.6 Mt of CO2 from fossil fuels and cement in 2024.
North Korea’s CO2 emissions, million tonnes, 1990–2024 0 Mt 25 Mt 50 Mt 75 Mt 100 Mt 125 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 63Mt 2024 · 52nd of 214 · Global Carbon Budget
CO2 per person 2.4t 2024 · 123rd of 213 · Global Carbon Budget
CO2 since 1750 5,493Mt 2024 · 39th of 214 · Global Carbon Budget
Shown only where a source covers North Korea.
Refugees 308 from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 569 entries on the US, EU and UK lists give it as an address or nationality: US 242, EU 167 and UK 160
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$9.85billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Nuclear weapons 60 estimated warheads, early 2026
Nuclear weapons map
Source: FAS Status of World Nuclear Forces · FAS estimate, as of early 2026 ·
Cyber incidents 8 publicly known incidents affecting North Korea, 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
35 measures on this site have a recent figure for North Korea.
Sources for this page World Bank Indicators Unemployment, Foreign investment in, Population 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 Wheat production, Wheat imports, Maize production, Maize imports, Rice production, Rice imports, … 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 SIPRI Arms Transfers Database Arms exports CelesTrak SATCATSatellites in orbit 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 FAS Status of World Nuclear Forces Nuclear weapons EuRepoC cyber incidents Cyber incidents