1 Dependencies at a glance Papua New Guinea imports all of its potash supply; it exports gas.
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 24% of the oil it usesEIA, use 2024 · UN Comtrade, imports 2025, Australia → Papua New Guinea as reported by the exporter Australia Natural gas Exports 96% of what it produces EIA, use 2024 · UN Comtrade, exports 2025 Japan , China , South Korea (buyers)Wheat – Not reported by this source – Maize Imports 0.8% of the maize it uses FAOSTAT, use 2020 · FAOSTAT, imports 2023 Australia , Singapore Rice Imports all of the rice it uses FAOSTAT, use 2024 · FAOSTAT, imports 2023 China , Thailand , Vietnam 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 Main supplier: Australia, 91% of importsSIPRI, 2021–2025 Australia , New Zealand 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 24% of the oil it uses
Main partners: Australia
EIA, use 2024 · UN Comtrade, imports 2025, Australia → Papua New Guinea as reported by the exporter
Natural gas Exports 96% of what it produces
Main partners: Japan, China, South Korea (buyers)
EIA, use 2024 · UN Comtrade, exports 2025
Wheat Not reported by this source
Maize Imports 0.8% of the maize it uses
Main partners: Australia, Singapore
FAOSTAT, use 2020 · FAOSTAT, imports 2023
Rice Imports all of the rice it uses
Main partners: China, Thailand, Vietnam
FAOSTAT, use 2024 · 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 Main supplier: Australia, 91% of imports
Main partners: Australia, New Zealand
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 2025
Papua New Guinea’s economy produced $32 bn in 2025.
GDP, 2000–2025 $0 $10 bn $20 bn $30 bn $40 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 5.6% 2025 · 37th of 186 · World Bank
Inflation 4.4% 2025 · 42nd of 169 · World Bank
Unemployment 2.6% 2025 · 157th of 181 · World Bank
Reserves US$3.71billion 2024 · 104th of 164 · World Bank
Foreign investment in −US$1.18billion 2025 · 193rd of 200 · World Bank
Papua New Guinea had 11 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 ·
Papua New Guinea’s population by age Men Women 0–4, men: 0.13 million 5–9, men: 0.11 million 10–14, men: 0.1 million 15–19, men: 0.1 million 20–24, men: 0.09 million 25–29, men: 0.08 million 30–34, men: 0.07 million 35–39, men: 0.05 million 40–44, men: 0.04 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 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.12 million 5–9, women: 0.09 million 10–14, women: 0.09 million 15–19, women: 0.09 million 20–24, women: 0.08 million 25–29, women: 0.07 million 30–34, women: 0.06 million 35–39, women: 0.04 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 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 1m 0 1m Men Women 0–4, men: 0.16 million 5–9, men: 0.12 million 10–14, men: 0.1 million 15–19, men: 0.1 million 20–24, men: 0.09 million 25–29, men: 0.09 million 30–34, men: 0.08 million 35–39, men: 0.06 million 40–44, men: 0.05 million 45–49, men: 0.03 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 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: 0.15 million 5–9, women: 0.11 million 10–14, women: 0.09 million 15–19, women: 0.08 million 20–24, women: 0.08 million 25–29, women: 0.08 million 30–34, women: 0.07 million 35–39, women: 0.05 million 40–44, women: 0.04 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 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 1m 0 1m Men Women 0–4, men: 0.18 million 5–9, men: 0.15 million 10–14, men: 0.12 million 15–19, men: 0.1 million 20–24, men: 0.09 million 25–29, men: 0.09 million 30–34, men: 0.08 million 35–39, men: 0.07 million 40–44, men: 0.06 million 45–49, men: 0.04 million 50–54, men: 0.03 million 55–59, men: 0.02 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.17 million 5–9, women: 0.14 million 10–14, women: 0.1 million 15–19, women: 0.09 million 20–24, women: 0.08 million 25–29, women: 0.08 million 30–34, women: 0.07 million 35–39, women: 0.06 million 40–44, women: 0.05 million 45–49, women: 0.04 million 50–54, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.21 million 5–9, men: 0.18 million 10–14, men: 0.14 million 15–19, men: 0.11 million 20–24, men: 0.1 million 25–29, men: 0.09 million 30–34, men: 0.08 million 35–39, men: 0.07 million 40–44, men: 0.06 million 45–49, men: 0.05 million 50–54, men: 0.04 million 55–59, men: 0.02 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.2 million 5–9, women: 0.16 million 10–14, women: 0.12 million 15–19, women: 0.09 million 20–24, women: 0.09 million 25–29, women: 0.09 million 30–34, women: 0.08 million 35–39, women: 0.07 million 40–44, women: 0.06 million 45–49, women: 0.04 million 50–54, women: 0.03 million 55–59, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.24 million 5–9, men: 0.21 million 10–14, men: 0.17 million 15–19, men: 0.13 million 20–24, men: 0.11 million 25–29, men: 0.1 million 30–34, men: 0.09 million 35–39, men: 0.08 million 40–44, men: 0.07 million 45–49, men: 0.05 million 50–54, men: 0.04 million 55–59, men: 0.03 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: 0.22 million 5–9, women: 0.18 million 10–14, women: 0.13 million 15–19, women: 0.11 million 20–24, women: 0.1 million 25–29, women: 0.1 million 30–34, women: 0.09 million 35–39, women: 0.07 million 40–44, women: 0.06 million 45–49, women: 0.05 million 50–54, women: 0.03 million 55–59, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.26 million 5–9, men: 0.23 million 10–14, men: 0.2 million 15–19, men: 0.16 million 20–24, men: 0.12 million 25–29, men: 0.11 million 30–34, men: 0.09 million 35–39, men: 0.08 million 40–44, men: 0.07 million 45–49, men: 0.06 million 50–54, men: 0.05 million 55–59, men: 0.03 million 60–64, men: 0.02 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.24 million 5–9, women: 0.2 million 10–14, women: 0.16 million 15–19, women: 0.12 million 20–24, women: 0.11 million 25–29, women: 0.1 million 30–34, women: 0.09 million 35–39, women: 0.08 million 40–44, women: 0.07 million 45–49, women: 0.06 million 50–54, women: 0.04 million 55–59, women: 0.03 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 1m 0 1m Men Women 0–4, men: 0.27 million 5–9, men: 0.24 million 10–14, men: 0.21 million 15–19, men: 0.19 million 20–24, men: 0.15 million 25–29, men: 0.12 million 30–34, men: 0.1 million 35–39, men: 0.09 million 40–44, men: 0.08 million 45–49, men: 0.07 million 50–54, men: 0.05 million 55–59, men: 0.04 million 60–64, men: 0.03 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: 0.25 million 5–9, women: 0.21 million 10–14, women: 0.18 million 15–19, women: 0.15 million 20–24, women: 0.12 million 25–29, women: 0.11 million 30–34, women: 0.1 million 35–39, women: 0.08 million 40–44, women: 0.07 million 45–49, women: 0.06 million 50–54, women: 0.05 million 55–59, women: 0.04 million 60–64, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.29 million 5–9, men: 0.26 million 10–14, men: 0.23 million 15–19, men: 0.2 million 20–24, men: 0.18 million 25–29, men: 0.15 million 30–34, men: 0.12 million 35–39, men: 0.1 million 40–44, men: 0.08 million 45–49, men: 0.07 million 50–54, men: 0.06 million 55–59, men: 0.04 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.27 million 5–9, women: 0.23 million 10–14, women: 0.2 million 15–19, women: 0.17 million 20–24, women: 0.15 million 25–29, women: 0.13 million 30–34, women: 0.11 million 35–39, women: 0.09 million 40–44, women: 0.08 million 45–49, women: 0.07 million 50–54, women: 0.05 million 55–59, women: 0.04 million 60–64, women: 0.03 million 65–69, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.33 million 5–9, men: 0.29 million 10–14, men: 0.25 million 15–19, men: 0.22 million 20–24, men: 0.19 million 25–29, men: 0.17 million 30–34, men: 0.14 million 35–39, men: 0.11 million 40–44, men: 0.09 million 45–49, men: 0.07 million 50–54, men: 0.06 million 55–59, men: 0.05 million 60–64, men: 0.04 million 65–69, men: 0.02 million 70–74, men: 0.01 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.3 million 5–9, women: 0.25 million 10–14, women: 0.22 million 15–19, women: 0.19 million 20–24, women: 0.17 million 25–29, women: 0.15 million 30–34, women: 0.12 million 35–39, women: 0.1 million 40–44, women: 0.08 million 45–49, women: 0.07 million 50–54, women: 0.06 million 55–59, women: 0.05 million 60–64, women: 0.03 million 65–69, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.37 million 5–9, men: 0.34 million 10–14, men: 0.3 million 15–19, men: 0.26 million 20–24, men: 0.23 million 25–29, men: 0.2 million 30–34, men: 0.18 million 35–39, men: 0.15 million 40–44, men: 0.11 million 45–49, men: 0.09 million 50–54, men: 0.07 million 55–59, men: 0.06 million 60–64, men: 0.04 million 65–69, men: 0.03 million 70–74, men: 0.02 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.34 million 5–9, women: 0.3 million 10–14, women: 0.26 million 15–19, women: 0.23 million 20–24, women: 0.21 million 25–29, women: 0.19 million 30–34, women: 0.16 million 35–39, women: 0.13 million 40–44, women: 0.1 million 45–49, women: 0.08 million 50–54, women: 0.07 million 55–59, women: 0.05 million 60–64, women: 0.04 million 65–69, women: 0.03 million 70–74, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.43 million 5–9, men: 0.38 million 10–14, men: 0.35 million 15–19, men: 0.3 million 20–24, men: 0.27 million 25–29, men: 0.23 million 30–34, men: 0.21 million 35–39, men: 0.18 million 40–44, men: 0.15 million 45–49, men: 0.11 million 50–54, men: 0.08 million 55–59, men: 0.07 million 60–64, men: 0.05 million 65–69, men: 0.03 million 70–74, men: 0.02 million 75–79, men: 0.01 million 80–84, men: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.4 million 5–9, women: 0.34 million 10–14, women: 0.31 million 15–19, women: 0.28 million 20–24, women: 0.26 million 25–29, women: 0.23 million 30–34, women: 0.2 million 35–39, women: 0.17 million 40–44, women: 0.13 million 45–49, women: 0.1 million 50–54, women: 0.07 million 55–59, women: 0.06 million 60–64, women: 0.05 million 65–69, women: 0.03 million 70–74, women: 0.02 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 1m 0 1m Men Women 0–4, men: 0.49 million 5–9, men: 0.44 million 10–14, men: 0.4 million 15–19, men: 0.37 million 20–24, men: 0.31 million 25–29, men: 0.27 million 30–34, men: 0.24 million 35–39, men: 0.21 million 40–44, men: 0.18 million 45–49, men: 0.14 million 50–54, men: 0.11 million 55–59, men: 0.08 million 60–64, men: 0.06 million 65–69, men: 0.04 million 70–74, men: 0.03 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: 0.46 million 5–9, women: 0.39 million 10–14, women: 0.35 million 15–19, women: 0.33 million 20–24, women: 0.3 million 25–29, women: 0.28 million 30–34, women: 0.24 million 35–39, women: 0.2 million 40–44, women: 0.16 million 45–49, women: 0.12 million 50–54, women: 0.09 million 55–59, women: 0.07 million 60–64, women: 0.05 million 65–69, women: 0.04 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 1m 0 1m Men Women 0–4, men: 0.55 million 5–9, men: 0.5 million 10–14, men: 0.46 million 15–19, men: 0.43 million 20–24, men: 0.38 million 25–29, men: 0.32 million 30–34, men: 0.28 million 35–39, men: 0.24 million 40–44, men: 0.21 million 45–49, men: 0.18 million 50–54, men: 0.14 million 55–59, men: 0.1 million 60–64, men: 0.07 million 65–69, men: 0.05 million 70–74, men: 0.03 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: 0.51 million 5–9, women: 0.45 million 10–14, women: 0.4 million 15–19, women: 0.38 million 20–24, women: 0.36 million 25–29, women: 0.32 million 30–34, women: 0.29 million 35–39, women: 0.25 million 40–44, women: 0.2 million 45–49, women: 0.16 million 50–54, women: 0.11 million 55–59, women: 0.08 million 60–64, women: 0.06 million 65–69, women: 0.04 million 70–74, women: 0.03 million 75–79, women: 0.02 million 80–84, women: 0.01 million 85–89, women: 0 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: 0.59 million 5–9, men: 0.55 million 10–14, men: 0.51 million 15–19, men: 0.47 million 20–24, men: 0.43 million 25–29, men: 0.38 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: 0.13 million 60–64, men: 0.09 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: 0.55 million 5–9, women: 0.5 million 10–14, women: 0.46 million 15–19, women: 0.42 million 20–24, women: 0.4 million 25–29, women: 0.37 million 30–34, women: 0.33 million 35–39, women: 0.29 million 40–44, women: 0.24 million 45–49, women: 0.19 million 50–54, women: 0.15 million 55–59, women: 0.11 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 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: 0.59 million 10–14, men: 0.56 million 15–19, men: 0.52 million 20–24, men: 0.48 million 25–29, men: 0.43 million 30–34, men: 0.38 million 35–39, men: 0.32 million 40–44, men: 0.28 million 45–49, men: 0.24 million 50–54, men: 0.2 million 55–59, men: 0.16 million 60–64, men: 0.12 million 65–69, men: 0.07 million 70–74, men: 0.05 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: 0.58 million 5–9, women: 0.55 million 10–14, women: 0.5 million 15–19, women: 0.47 million 20–24, women: 0.44 million 25–29, women: 0.41 million 30–34, women: 0.38 million 35–39, women: 0.33 million 40–44, women: 0.28 million 45–49, women: 0.24 million 50–54, women: 0.19 million 55–59, women: 0.14 million 60–64, women: 0.1 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: 0.64 million 5–9, men: 0.62 million 10–14, men: 0.59 million 15–19, men: 0.56 million 20–24, men: 0.52 million 25–29, men: 0.47 million 30–34, men: 0.43 million 35–39, men: 0.38 million 40–44, men: 0.32 million 45–49, men: 0.27 million 50–54, men: 0.23 million 55–59, men: 0.18 million 60–64, men: 0.14 million 65–69, men: 0.1 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: 0.6 million 5–9, women: 0.58 million 10–14, women: 0.54 million 15–19, women: 0.5 million 20–24, women: 0.47 million 25–29, women: 0.43 million 30–34, women: 0.4 million 35–39, women: 0.37 million 40–44, women: 0.33 million 45–49, women: 0.28 million 50–54, women: 0.23 million 55–59, women: 0.18 million 60–64, women: 0.13 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: 0.65 million 5–9, men: 0.63 million 10–14, men: 0.62 million 15–19, men: 0.59 million 20–24, men: 0.55 million 25–29, men: 0.51 million 30–34, men: 0.46 million 35–39, men: 0.42 million 40–44, men: 0.37 million 45–49, men: 0.3 million 50–54, men: 0.26 million 55–59, men: 0.21 million 60–64, men: 0.16 million 65–69, men: 0.12 million 70–74, men: 0.07 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: 0.6 million 5–9, women: 0.59 million 10–14, women: 0.57 million 15–19, women: 0.54 million 20–24, women: 0.5 million 25–29, women: 0.46 million 30–34, women: 0.43 million 35–39, women: 0.4 million 40–44, women: 0.37 million 45–49, women: 0.32 million 50–54, women: 0.27 million 55–59, women: 0.22 million 60–64, women: 0.17 million 65–69, women: 0.12 million 70–74, women: 0.07 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: 0.65 million 5–9, men: 0.64 million 10–14, men: 0.63 million 15–19, men: 0.61 million 20–24, men: 0.58 million 25–29, men: 0.54 million 30–34, men: 0.5 million 35–39, men: 0.46 million 40–44, men: 0.41 million 45–49, men: 0.35 million 50–54, men: 0.29 million 55–59, men: 0.24 million 60–64, men: 0.18 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: 0.61 million 5–9, women: 0.6 million 10–14, women: 0.59 million 15–19, women: 0.57 million 20–24, women: 0.54 million 25–29, women: 0.5 million 30–34, women: 0.46 million 35–39, women: 0.42 million 40–44, women: 0.39 million 45–49, women: 0.36 million 50–54, women: 0.31 million 55–59, women: 0.26 million 60–64, women: 0.2 million 65–69, women: 0.15 million 70–74, women: 0.1 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: 0.66 million 5–9, men: 0.65 million 10–14, men: 0.64 million 15–19, men: 0.63 million 20–24, men: 0.61 million 25–29, men: 0.58 million 30–34, men: 0.54 million 35–39, men: 0.49 million 40–44, men: 0.44 million 45–49, men: 0.4 million 50–54, men: 0.34 million 55–59, men: 0.27 million 60–64, men: 0.21 million 65–69, men: 0.15 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: 0.62 million 5–9, women: 0.61 million 10–14, women: 0.6 million 15–19, women: 0.59 million 20–24, women: 0.57 million 25–29, women: 0.54 million 30–34, women: 0.49 million 35–39, women: 0.45 million 40–44, women: 0.42 million 45–49, women: 0.38 million 50–54, women: 0.35 million 55–59, women: 0.29 million 60–64, women: 0.24 million 65–69, women: 0.18 million 70–74, women: 0.12 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: 0.67 million 5–9, men: 0.66 million 10–14, men: 0.65 million 15–19, men: 0.64 million 20–24, men: 0.62 million 25–29, men: 0.6 million 30–34, men: 0.57 million 35–39, men: 0.53 million 40–44, men: 0.48 million 45–49, men: 0.43 million 50–54, men: 0.38 million 55–59, men: 0.31 million 60–64, men: 0.24 million 65–69, men: 0.17 million 70–74, men: 0.12 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: 0.63 million 5–9, women: 0.62 million 10–14, women: 0.61 million 15–19, women: 0.6 million 20–24, women: 0.59 million 25–29, women: 0.57 million 30–34, women: 0.53 million 35–39, women: 0.49 million 40–44, women: 0.45 million 45–49, women: 0.41 million 50–54, women: 0.37 million 55–59, women: 0.33 million 60–64, women: 0.28 million 65–69, women: 0.22 million 70–74, women: 0.15 million 75–79, women: 0.09 million 80–84, women: 0.05 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: 0.68 million 5–9, men: 0.67 million 10–14, men: 0.66 million 15–19, men: 0.64 million 20–24, men: 0.63 million 25–29, men: 0.62 million 30–34, men: 0.59 million 35–39, men: 0.56 million 40–44, men: 0.52 million 45–49, men: 0.47 million 50–54, men: 0.41 million 55–59, men: 0.35 million 60–64, men: 0.28 million 65–69, men: 0.2 million 70–74, men: 0.13 million 75–79, men: 0.08 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: 0.64 million 5–9, women: 0.63 million 10–14, women: 0.62 million 15–19, women: 0.6 million 20–24, women: 0.59 million 25–29, women: 0.58 million 30–34, women: 0.56 million 35–39, women: 0.53 million 40–44, women: 0.48 million 45–49, women: 0.44 million 50–54, women: 0.4 million 55–59, women: 0.36 million 60–64, women: 0.31 million 65–69, women: 0.25 million 70–74, women: 0.18 million 75–79, women: 0.12 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: 0.68 million 5–9, men: 0.68 million 10–14, men: 0.67 million 15–19, men: 0.66 million 20–24, men: 0.64 million 25–29, men: 0.63 million 30–34, men: 0.61 million 35–39, men: 0.58 million 40–44, men: 0.55 million 45–49, men: 0.5 million 50–54, men: 0.45 million 55–59, men: 0.38 million 60–64, men: 0.31 million 65–69, men: 0.23 million 70–74, men: 0.15 million 75–79, men: 0.09 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: 0.63 million 5–9, women: 0.63 million 10–14, women: 0.63 million 15–19, women: 0.62 million 20–24, women: 0.6 million 25–29, women: 0.59 million 30–34, women: 0.58 million 35–39, women: 0.56 million 40–44, women: 0.52 million 45–49, women: 0.47 million 50–54, women: 0.43 million 55–59, women: 0.38 million 60–64, women: 0.34 million 65–69, women: 0.28 million 70–74, women: 0.21 million 75–79, women: 0.14 million 80–84, women: 0.07 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: 0.67 million 5–9, men: 0.67 million 10–14, men: 0.67 million 15–19, men: 0.67 million 20–24, men: 0.65 million 25–29, men: 0.64 million 30–34, men: 0.62 million 35–39, men: 0.6 million 40–44, men: 0.57 million 45–49, men: 0.53 million 50–54, men: 0.48 million 55–59, men: 0.42 million 60–64, men: 0.34 million 65–69, men: 0.26 million 70–74, men: 0.18 million 75–79, men: 0.1 million 80–84, men: 0.05 million 85–89, men: 0.02 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.63 million 5–9, women: 0.63 million 10–14, women: 0.63 million 15–19, women: 0.63 million 20–24, women: 0.62 million 25–29, women: 0.6 million 30–34, women: 0.59 million 35–39, women: 0.57 million 40–44, women: 0.55 million 45–49, women: 0.51 million 50–54, women: 0.46 million 55–59, women: 0.41 million 60–64, women: 0.36 million 65–69, women: 0.3 million 70–74, women: 0.24 million 75–79, women: 0.16 million 80–84, women: 0.09 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: 0.67 million 5–9, men: 0.67 million 10–14, men: 0.67 million 15–19, men: 0.67 million 20–24, men: 0.66 million 25–29, men: 0.65 million 30–34, men: 0.63 million 35–39, men: 0.61 million 40–44, men: 0.59 million 45–49, men: 0.56 million 50–54, men: 0.51 million 55–59, men: 0.45 million 60–64, men: 0.37 million 65–69, men: 0.29 million 70–74, men: 0.2 million 75–79, men: 0.12 million 80–84, men: 0.06 million 85–89, men: 0.02 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.62 million 5–9, women: 0.63 million 10–14, women: 0.63 million 15–19, women: 0.63 million 20–24, women: 0.63 million 25–29, women: 0.61 million 30–34, women: 0.6 million 35–39, women: 0.58 million 40–44, women: 0.57 million 45–49, women: 0.54 million 50–54, women: 0.5 million 55–59, women: 0.44 million 60–64, women: 0.39 million 65–69, women: 0.33 million 70–74, women: 0.26 million 75–79, women: 0.19 million 80–84, women: 0.11 million 85–89, women: 0.05 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: 0.66 million 5–9, men: 0.66 million 10–14, men: 0.67 million 15–19, men: 0.67 million 20–24, men: 0.67 million 25–29, men: 0.66 million 30–34, men: 0.64 million 35–39, men: 0.62 million 40–44, men: 0.6 million 45–49, men: 0.58 million 50–54, men: 0.54 million 55–59, men: 0.48 million 60–64, men: 0.4 million 65–69, men: 0.32 million 70–74, men: 0.22 million 75–79, men: 0.14 million 80–84, men: 0.07 million 85–89, men: 0.02 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.62 million 5–9, women: 0.62 million 10–14, women: 0.63 million 15–19, women: 0.63 million 20–24, women: 0.63 million 25–29, women: 0.62 million 30–34, women: 0.61 million 35–39, women: 0.59 million 40–44, women: 0.58 million 45–49, women: 0.56 million 50–54, women: 0.53 million 55–59, women: 0.48 million 60–64, women: 0.42 million 65–69, women: 0.35 million 70–74, women: 0.28 million 75–79, women: 0.2 million 80–84, women: 0.12 million 85–89, women: 0.06 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: 0.65 million 5–9, men: 0.66 million 10–14, men: 0.66 million 15–19, men: 0.67 million 20–24, men: 0.67 million 25–29, men: 0.67 million 30–34, men: 0.66 million 35–39, men: 0.64 million 40–44, men: 0.61 million 45–49, men: 0.59 million 50–54, men: 0.55 million 55–59, men: 0.5 million 60–64, men: 0.43 million 65–69, men: 0.34 million 70–74, men: 0.25 million 75–79, men: 0.15 million 80–84, men: 0.08 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: 0.61 million 5–9, women: 0.62 million 10–14, women: 0.62 million 15–19, women: 0.63 million 20–24, women: 0.63 million 25–29, women: 0.63 million 30–34, women: 0.62 million 35–39, women: 0.61 million 40–44, women: 0.59 million 45–49, women: 0.57 million 50–54, women: 0.55 million 55–59, women: 0.51 million 60–64, women: 0.45 million 65–69, women: 0.38 million 70–74, women: 0.31 million 75–79, women: 0.22 million 80–84, women: 0.14 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: 0.64 million 5–9, men: 0.65 million 10–14, men: 0.66 million 15–19, men: 0.66 million 20–24, men: 0.67 million 25–29, men: 0.67 million 30–34, men: 0.66 million 35–39, men: 0.65 million 40–44, men: 0.63 million 45–49, men: 0.6 million 50–54, men: 0.56 million 55–59, men: 0.52 million 60–64, men: 0.45 million 65–69, men: 0.37 million 70–74, men: 0.27 million 75–79, men: 0.17 million 80–84, men: 0.09 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: 0.6 million 5–9, women: 0.61 million 10–14, women: 0.62 million 15–19, women: 0.62 million 20–24, women: 0.63 million 25–29, women: 0.63 million 30–34, women: 0.63 million 35–39, women: 0.62 million 40–44, women: 0.6 million 45–49, women: 0.58 million 50–54, women: 0.56 million 55–59, women: 0.53 million 60–64, women: 0.48 million 65–69, women: 0.42 million 70–74, women: 0.33 million 75–79, women: 0.24 million 80–84, women: 0.15 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: 0.64 million 5–9, men: 0.64 million 10–14, men: 0.65 million 15–19, men: 0.66 million 20–24, men: 0.66 million 25–29, men: 0.67 million 30–34, men: 0.66 million 35–39, men: 0.66 million 40–44, men: 0.64 million 45–49, men: 0.61 million 50–54, men: 0.58 million 55–59, men: 0.53 million 60–64, men: 0.47 million 65–69, men: 0.39 million 70–74, men: 0.29 million 75–79, men: 0.19 million 80–84, men: 0.1 million 85–89, men: 0.04 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.59 million 5–9, women: 0.6 million 10–14, women: 0.61 million 15–19, women: 0.62 million 20–24, women: 0.62 million 25–29, women: 0.63 million 30–34, women: 0.63 million 35–39, women: 0.62 million 40–44, women: 0.61 million 45–49, women: 0.59 million 50–54, women: 0.57 million 55–59, women: 0.54 million 60–64, women: 0.5 million 65–69, women: 0.45 million 70–74, women: 0.37 million 75–79, women: 0.27 million 80–84, women: 0.17 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: 0.62 million 5–9, men: 0.63 million 10–14, men: 0.64 million 15–19, men: 0.65 million 20–24, men: 0.66 million 25–29, men: 0.66 million 30–34, men: 0.66 million 35–39, men: 0.66 million 40–44, men: 0.65 million 45–49, men: 0.63 million 50–54, men: 0.59 million 55–59, men: 0.55 million 60–64, men: 0.49 million 65–69, men: 0.41 million 70–74, men: 0.31 million 75–79, men: 0.21 million 80–84, men: 0.11 million 85–89, men: 0.05 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.58 million 5–9, women: 0.59 million 10–14, women: 0.6 million 15–19, women: 0.61 million 20–24, women: 0.62 million 25–29, women: 0.62 million 30–34, women: 0.62 million 35–39, women: 0.62 million 40–44, women: 0.62 million 45–49, women: 0.6 million 50–54, women: 0.58 million 55–59, women: 0.55 million 60–64, women: 0.51 million 65–69, women: 0.47 million 70–74, women: 0.39 million 75–79, women: 0.3 million 80–84, women: 0.19 million 85–89, women: 0.09 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: 0.61 million 5–9, men: 0.62 million 10–14, men: 0.63 million 15–19, men: 0.64 million 20–24, men: 0.65 million 25–29, men: 0.66 million 30–34, men: 0.66 million 35–39, men: 0.66 million 40–44, men: 0.65 million 45–49, men: 0.64 million 50–54, men: 0.61 million 55–59, men: 0.56 million 60–64, men: 0.5 million 65–69, men: 0.42 million 70–74, men: 0.33 million 75–79, men: 0.22 million 80–84, men: 0.12 million 85–89, men: 0.05 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.57 million 5–9, women: 0.58 million 10–14, women: 0.59 million 15–19, women: 0.6 million 20–24, women: 0.61 million 25–29, women: 0.62 million 30–34, women: 0.62 million 35–39, women: 0.62 million 40–44, women: 0.62 million 45–49, women: 0.61 million 50–54, women: 0.59 million 55–59, women: 0.57 million 60–64, women: 0.53 million 65–69, women: 0.48 million 70–74, women: 0.41 million 75–79, women: 0.32 million 80–84, women: 0.21 million 85–89, women: 0.11 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: 0.6 million 5–9, men: 0.61 million 10–14, men: 0.62 million 15–19, men: 0.63 million 20–24, men: 0.64 million 25–29, men: 0.65 million 30–34, men: 0.65 million 35–39, men: 0.65 million 40–44, men: 0.65 million 45–49, men: 0.64 million 50–54, men: 0.62 million 55–59, men: 0.58 million 60–64, men: 0.52 million 65–69, men: 0.44 million 70–74, men: 0.34 million 75–79, men: 0.24 million 80–84, men: 0.14 million 85–89, men: 0.06 million 90–94, men: 0.02 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.55 million 5–9, women: 0.57 million 10–14, women: 0.58 million 15–19, women: 0.59 million 20–24, women: 0.6 million 25–29, women: 0.61 million 30–34, women: 0.61 million 35–39, women: 0.62 million 40–44, women: 0.62 million 45–49, women: 0.61 million 50–54, women: 0.6 million 55–59, women: 0.58 million 60–64, women: 0.54 million 65–69, women: 0.49 million 70–74, women: 0.43 million 75–79, women: 0.34 million 80–84, women: 0.23 million 85–89, women: 0.12 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 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 3.10 2023 · 57th of 237 · UN WPP 2024
Median age 22.3 2023 · 179th of 237 · UN WPP 2024
Aged 65 and over 3.6% 2025, Projection, medium variant · UN WPP 2024
Papua New Guinea emitted 8.3 Mt of CO2 from fossil fuels and cement in 2024.
Papua New Guinea’s CO2 emissions, million tonnes, 1990–2024 0 Mt 2 Mt 4 Mt 6 Mt 8 Mt 10 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 8Mt 2024 · 117th of 214 · Global Carbon Budget
CO2 per person 0.8t 2024 · 166th of 213 · Global Carbon Budget
CO2 since 1750 210Mt 2024 · 128th of 214 · Global Carbon Budget
Shown only where a source covers Papua New Guinea.
Refugees 10,848 refugees and others in need of protection hosted, 2025
1,871 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$7.15billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents No publicly known incidents affecting Papua New Guinea 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
49 measures on this site have a recent figure for Papua New Guinea.
Measure Value Year Rank Source GDP $32 bn 2025 110th of 186 World Bank GDP per person $3,020 2025 142nd of 186 World Bank Economic growth 5.6% 2025 37th of 186 World Bank Inflation 4.4% 2025 42nd of 169 World Bank Government debt 52% 2025 104th of 191 IMF World Economic Outlook, October 2026 Government budget balance −2.1% 2025 85th of 195 IMF World Economic Outlook, October 2026 Current account balance 14.3% 2025 15th of 194 IMF World Economic Outlook, October 2026 Unemployment 2.6% 2025 157th of 181 World Bank Reserves, including gold $3.7 bn 2024 104th of 164 World Bank Foreign investment in −$1.2 bn 2025 193rd of 200 World Bank Remittances received 0.0% 2024 162nd of 162 World Bank Population 11 m 2025 91st of 216 World Bank Population with UN projections 10 m 2023 93rd of 237 UN WPP 2024 Births per woman 3.10 2023 57th of 237 UN WPP 2024 Median age 22.3 2023 179th of 237 UN WPP 2024 Life expectancy 66.1 2023 203rd of 237 UN WPP 2024 Refugees from the country 1,871 2025 114th of 206 UNHCR Refugees and others needing protection, by host 10,848 2025 111th of 176 UNHCR Refugees hosted per 1,000 people 1.0 2025 111th of 176 UNHCR People displaced inside the country 70,124 2025 31st of 38 UNHCR Crude oil production 32 kb/d 2025 56th of 214 EIA Oil consumption 43 kb/d 2024 114th of 212 EIA Natural gas production 2024 39th of 213 EIA Natural gas consumption 0.4 bcm 2024 103rd of 213 EIA Electricity generated 5 TWh 2024 131st of 193 Ember Low-carbon electricity 24% 2024 119th of 193 Ember Electricity from coal 0% 2024 82nd of 193 Ember Electricity from wind and solar 0.2% 2024 169th of 193 Ember Wheat imports 0.3 Mt 2024 80th of 180 FAOSTAT Maize production 0.0 Mt 2024 131st of 169 FAOSTAT Maize imports 0.0 Mt 2024 160th of 196 FAOSTAT Rice production 0.0 Mt 2024 110th of 135 FAOSTAT Rice imports 0.2 Mt 2024 55th of 197 FAOSTAT Soybean imports 0.0 Mt 2024 141st of 179 FAOSTAT Potash fertiliser use 0.02 Mt 2024 81st of 199 FAOSTAT Phosphate fertiliser use 0.00 Mt 2024 119th of 199 FAOSTAT CO2 emissions 8 Mt 2024 117th of 214 Global Carbon Budget CO2 per person 0.8 t 2024 166th of 213 Global Carbon Budget CO2 emitted since 1750 210 Mt 2024 128th of 214 Global Carbon Budget Water stress 0.0 2023 154th of 164 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water from abroad 0% 2023 125th of 193 FAO AQUASTAT Military spending, share of GDP 0.4% 2025 144th of 150 World Bank Military spending $106 m 2025 133rd of 150 World Bank Deaths in organised violence 31 2025 45th of 61 UCDP Arms imports 9 TIV m 2023 95th of 125 SIPRI People using the internet 19% 2024 174th of 182 World Bank ICT service exports under $1 m 2024 161st of 162 World Bank ICT service exports, share of service exports 0.3% 2024 160th of 162 World Bank Chinese loans and grants committed $82 m 2021 46th of 122 AidData, Global Chinese Development Finance Dataset 3.0
Sources for this page World Bank Indicators GDP, GDP per person, Economic growth, Inflation, Unemployment, Reserves, … IMF World Economic Outlook, October 2026 Debt, Budget balance, Current account UN World Population Prospects Population (UN), Births per woman, Median age, Life expectancy UNHCR Refugee Data Finder Refugees from, Refugees hosted, Refugees per 1,000, Internally displaced 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 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 UCDP Georeferenced Event Dataset Conflict deaths SIPRI Arms Transfers Database Arms imports, Dependencies at a glance AidData Chinese development finance Chinese loans and grants US Consolidated Screening List Sanctions EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents