1 Dependencies at a glance Nepal imports all of the oil it uses.
Dependence is net imports: imports minus exports, as a share of what the country uses; for potash and phosphate, of its supply (production plus net imports). Arms and chips show supplier concentration only: the main supplier’s share of imports (arms: five-year totals of deliveries in SIPRI’s trend-indicator value, SIPRI’s measure of military capability delivered, not price or number of weapons). Resource Dependence Position Main partners Oil Imports all of the oil it usesEIA, use 2024 · UN Comtrade, imports 2025 No partner data from the source Natural gas – Uses no gas, by this source EIA, 2024 No partner data from the source Wheat Imports 3.6% of the wheat it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 No partner data from the source Maize Imports 10% of the maize it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 No partner data from the source Rice Imports 7.9% of the rice it uses FAOSTAT, use 2024 · FAOSTAT, imports 2023 No partner data from the source Soybeans Imports 76% of the soybeans it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 No partner data from the 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: Poland, 100% of importsSIPRI, 2021–2025 Poland 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 all of the oil it uses
Main partners: No partner data from the source
EIA, use 2024 · UN Comtrade, imports 2025
Natural gas Uses no gas, by this source
Main partners: No partner data from the source
EIA, 2024
Wheat Imports 3.6% of the wheat it uses
Main partners: No partner data from the source
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Maize Imports 10% of the maize it uses
Main partners: No partner data from the source
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Rice Imports 7.9% of the rice it uses
Main partners: No partner data from the source
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Soybeans Imports 76% of the soybeans it uses
Main partners: No partner data from the source
FAOSTAT, use 2024 · FAOSTAT, imports 2023
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: Poland, 100% of imports
Main partners: Poland
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 2025
Nepal’s economy produced $45 bn in 2025.
GDP, 2000–2025 $0 $10 bn $20 bn $30 bn $40 bn $50 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 4.4% 2025 · 58th of 186 · World Bank
Inflation 2.7% 2025 · 91st of 169 · World Bank
Unemployment 10.5% 2025 · 33rd of 181 · World Bank
Reserves US$15.8billion 2024 · 67th of 164 · World Bank
Trade 40% of GDP 2024 · 154th of 172 · World Bank
Foreign investment in US$44million 2025 · 161st of 200 · World Bank
Nepal had 30 m people in 2025.
Population, 1950–2100 0 10 m 20 m 30 m 40 m 50 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Nepal’s population by age Men Women 0–4, men: 0.7 million 5–9, men: 0.57 million 10–14, men: 0.48 million 15–19, men: 0.42 million 20–24, men: 0.37 million 25–29, men: 0.33 million 30–34, men: 0.28 million 35–39, men: 0.24 million 40–44, men: 0.2 million 45–49, men: 0.17 million 50–54, men: 0.13 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: 0.67 million 5–9, women: 0.54 million 10–14, women: 0.47 million 15–19, women: 0.42 million 20–24, women: 0.38 million 25–29, women: 0.34 million 30–34, women: 0.3 million 35–39, women: 0.25 million 40–44, women: 0.21 million 45–49, women: 0.18 million 50–54, women: 0.14 million 55–59, women: 0.11 million 60–64, women: 0.08 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 2m 0 2m Men Women 0–4, men: 0.76 million 5–9, men: 0.62 million 10–14, men: 0.55 million 15–19, men: 0.46 million 20–24, men: 0.41 million 25–29, men: 0.35 million 30–34, men: 0.31 million 35–39, men: 0.27 million 40–44, men: 0.23 million 45–49, men: 0.19 million 50–54, men: 0.15 million 55–59, men: 0.12 million 60–64, men: 0.09 million 65–69, men: 0.06 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: 0.73 million 5–9, women: 0.6 million 10–14, women: 0.53 million 15–19, women: 0.45 million 20–24, women: 0.4 million 25–29, women: 0.36 million 30–34, women: 0.32 million 35–39, women: 0.28 million 40–44, women: 0.24 million 45–49, women: 0.2 million 50–54, women: 0.16 million 55–59, women: 0.13 million 60–64, women: 0.1 million 65–69, women: 0.07 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 2m 0 2m Men Women 0–4, men: 0.82 million 5–9, men: 0.68 million 10–14, men: 0.61 million 15–19, men: 0.54 million 20–24, men: 0.44 million 25–29, men: 0.38 million 30–34, men: 0.33 million 35–39, men: 0.29 million 40–44, men: 0.25 million 45–49, men: 0.21 million 50–54, men: 0.17 million 55–59, men: 0.13 million 60–64, men: 0.1 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: 0.79 million 5–9, women: 0.65 million 10–14, women: 0.58 million 15–19, women: 0.51 million 20–24, women: 0.43 million 25–29, women: 0.38 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: 0.18 million 55–59, women: 0.15 million 60–64, women: 0.11 million 65–69, women: 0.08 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 2m 0 2m Men Women 0–4, men: 0.91 million 5–9, men: 0.74 million 10–14, men: 0.66 million 15–19, men: 0.6 million 20–24, men: 0.52 million 25–29, men: 0.42 million 30–34, men: 0.36 million 35–39, men: 0.31 million 40–44, men: 0.27 million 45–49, men: 0.23 million 50–54, men: 0.19 million 55–59, men: 0.15 million 60–64, men: 0.11 million 65–69, men: 0.08 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: 0.87 million 5–9, women: 0.7 million 10–14, women: 0.63 million 15–19, women: 0.56 million 20–24, women: 0.49 million 25–29, women: 0.41 million 30–34, women: 0.36 million 35–39, women: 0.32 million 40–44, women: 0.28 million 45–49, women: 0.24 million 50–54, women: 0.2 million 55–59, women: 0.16 million 60–64, women: 0.13 million 65–69, women: 0.09 million 70–74, women: 0.06 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 2m 0 2m Men Women 0–4, men: 1 million 5–9, men: 0.83 million 10–14, men: 0.72 million 15–19, men: 0.65 million 20–24, men: 0.58 million 25–29, men: 0.5 million 30–34, men: 0.41 million 35–39, men: 0.35 million 40–44, men: 0.3 million 45–49, men: 0.25 million 50–54, men: 0.21 million 55–59, men: 0.17 million 60–64, men: 0.13 million 65–69, men: 0.09 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: 0.98 million 5–9, women: 0.79 million 10–14, women: 0.69 million 15–19, women: 0.62 million 20–24, women: 0.55 million 25–29, women: 0.47 million 30–34, women: 0.39 million 35–39, women: 0.34 million 40–44, women: 0.3 million 45–49, women: 0.26 million 50–54, women: 0.23 million 55–59, women: 0.18 million 60–64, women: 0.14 million 65–69, women: 0.1 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 2m 0 2m Men Women 0–4, men: 1.1 million 5–9, men: 0.94 million 10–14, men: 0.81 million 15–19, men: 0.71 million 20–24, men: 0.63 million 25–29, men: 0.56 million 30–34, men: 0.48 million 35–39, men: 0.39 million 40–44, men: 0.33 million 45–49, men: 0.28 million 50–54, men: 0.23 million 55–59, men: 0.19 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: 1.1 million 5–9, women: 0.89 million 10–14, women: 0.77 million 15–19, women: 0.67 million 20–24, women: 0.6 million 25–29, women: 0.52 million 30–34, women: 0.45 million 35–39, women: 0.37 million 40–44, women: 0.32 million 45–49, women: 0.29 million 50–54, women: 0.24 million 55–59, women: 0.21 million 60–64, women: 0.16 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 2m 0 2m Men Women 0–4, men: 1.3 million 5–9, men: 1.1 million 10–14, men: 0.92 million 15–19, men: 0.8 million 20–24, men: 0.69 million 25–29, men: 0.61 million 30–34, men: 0.54 million 35–39, men: 0.46 million 40–44, men: 0.37 million 45–49, men: 0.31 million 50–54, men: 0.26 million 55–59, men: 0.21 million 60–64, men: 0.16 million 65–69, men: 0.11 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: 1.2 million 5–9, women: 1 million 10–14, women: 0.88 million 15–19, women: 0.75 million 20–24, women: 0.65 million 25–29, women: 0.58 million 30–34, women: 0.5 million 35–39, women: 0.43 million 40–44, women: 0.35 million 45–49, women: 0.31 million 50–54, women: 0.27 million 55–59, women: 0.22 million 60–64, women: 0.18 million 65–69, women: 0.13 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 2m 0 2m Men Women 0–4, men: 1.4 million 5–9, men: 1.2 million 10–14, men: 1 million 15–19, men: 0.91 million 20–24, men: 0.78 million 25–29, men: 0.67 million 30–34, men: 0.59 million 35–39, men: 0.52 million 40–44, men: 0.44 million 45–49, men: 0.35 million 50–54, men: 0.29 million 55–59, men: 0.23 million 60–64, men: 0.18 million 65–69, men: 0.13 million 70–74, men: 0.08 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: 1.4 million 5–9, women: 1.1 million 10–14, women: 0.99 million 15–19, women: 0.86 million 20–24, women: 0.73 million 25–29, women: 0.63 million 30–34, women: 0.55 million 35–39, women: 0.48 million 40–44, women: 0.41 million 45–49, women: 0.34 million 50–54, women: 0.29 million 55–59, women: 0.24 million 60–64, women: 0.2 million 65–69, women: 0.15 million 70–74, women: 0.1 million 75–79, women: 0.06 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 2m 0 2m Men Women 0–4, men: 1.6 million 5–9, men: 1.4 million 10–14, men: 1.2 million 15–19, men: 1 million 20–24, men: 0.86 million 25–29, men: 0.73 million 30–34, men: 0.62 million 35–39, men: 0.55 million 40–44, men: 0.48 million 45–49, men: 0.41 million 50–54, men: 0.32 million 55–59, men: 0.26 million 60–64, men: 0.2 million 65–69, men: 0.14 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: 1.5 million 5–9, women: 1.3 million 10–14, women: 1.1 million 15–19, women: 0.97 million 20–24, women: 0.82 million 25–29, women: 0.7 million 30–34, women: 0.6 million 35–39, women: 0.53 million 40–44, women: 0.46 million 45–49, women: 0.39 million 50–54, women: 0.31 million 55–59, women: 0.26 million 60–64, women: 0.22 million 65–69, women: 0.17 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 2m 0 2m Men Women 0–4, men: 1.8 million 5–9, men: 1.5 million 10–14, men: 1.4 million 15–19, men: 1.2 million 20–24, men: 0.99 million 25–29, men: 0.84 million 30–34, men: 0.71 million 35–39, men: 0.61 million 40–44, men: 0.53 million 45–49, men: 0.46 million 50–54, men: 0.38 million 55–59, men: 0.29 million 60–64, men: 0.22 million 65–69, men: 0.16 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: 1.7 million 5–9, women: 1.5 million 10–14, women: 1.3 million 15–19, women: 1.1 million 20–24, women: 0.95 million 25–29, women: 0.81 million 30–34, women: 0.68 million 35–39, women: 0.58 million 40–44, women: 0.51 million 45–49, women: 0.44 million 50–54, women: 0.37 million 55–59, women: 0.29 million 60–64, women: 0.24 million 65–69, women: 0.19 million 70–74, women: 0.13 million 75–79, women: 0.08 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 2m 0 2m Men Women 0–4, men: 1.8 million 5–9, men: 1.8 million 10–14, men: 1.5 million 15–19, men: 1.3 million 20–24, men: 1.1 million 25–29, men: 0.91 million 30–34, men: 0.77 million 35–39, men: 0.65 million 40–44, men: 0.56 million 45–49, men: 0.49 million 50–54, men: 0.43 million 55–59, men: 0.35 million 60–64, men: 0.25 million 65–69, men: 0.18 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: 1.8 million 5–9, women: 1.7 million 10–14, women: 1.5 million 15–19, women: 1.3 million 20–24, women: 1.1 million 25–29, women: 0.9 million 30–34, women: 0.77 million 35–39, women: 0.65 million 40–44, women: 0.56 million 45–49, women: 0.49 million 50–54, women: 0.42 million 55–59, women: 0.35 million 60–64, women: 0.27 million 65–69, women: 0.21 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 2m 0 2m Men Women 0–4, men: 1.7 million 5–9, men: 1.8 million 10–14, men: 1.7 million 15–19, men: 1.4 million 20–24, men: 1.2 million 25–29, men: 0.97 million 30–34, men: 0.82 million 35–39, men: 0.71 million 40–44, men: 0.61 million 45–49, men: 0.52 million 50–54, men: 0.46 million 55–59, men: 0.39 million 60–64, men: 0.31 million 65–69, men: 0.21 million 70–74, men: 0.14 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: 1.7 million 5–9, women: 1.7 million 10–14, women: 1.7 million 15–19, women: 1.4 million 20–24, women: 1.2 million 25–29, women: 1 million 30–34, women: 0.85 million 35–39, women: 0.73 million 40–44, women: 0.62 million 45–49, women: 0.53 million 50–54, women: 0.47 million 55–59, women: 0.4 million 60–64, women: 0.32 million 65–69, women: 0.24 million 70–74, women: 0.17 million 75–79, women: 0.11 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 2m 0 2m Men Women 0–4, men: 1.6 million 5–9, men: 1.7 million 10–14, men: 1.8 million 15–19, men: 1.6 million 20–24, men: 1.2 million 25–29, men: 0.98 million 30–34, men: 0.86 million 35–39, men: 0.75 million 40–44, men: 0.65 million 45–49, men: 0.57 million 50–54, men: 0.49 million 55–59, men: 0.43 million 60–64, men: 0.35 million 65–69, men: 0.26 million 70–74, men: 0.17 million 75–79, men: 0.1 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: 1.5 million 5–9, women: 1.6 million 10–14, women: 1.7 million 15–19, women: 1.6 million 20–24, women: 1.3 million 25–29, women: 1.1 million 30–34, women: 0.95 million 35–39, women: 0.8 million 40–44, women: 0.68 million 45–49, women: 0.57 million 50–54, women: 0.5 million 55–59, women: 0.44 million 60–64, women: 0.37 million 65–69, women: 0.29 million 70–74, women: 0.2 million 75–79, women: 0.13 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 2m 0 2m Men Women 0–4, men: 1.5 million 5–9, men: 1.5 million 10–14, men: 1.7 million 15–19, men: 1.7 million 20–24, men: 1.3 million 25–29, men: 0.91 million 30–34, men: 0.78 million 35–39, men: 0.71 million 40–44, men: 0.65 million 45–49, men: 0.58 million 50–54, men: 0.52 million 55–59, men: 0.46 million 60–64, men: 0.39 million 65–69, men: 0.3 million 70–74, men: 0.21 million 75–79, men: 0.11 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: 1.4 million 5–9, women: 1.5 million 10–14, women: 1.6 million 15–19, women: 1.7 million 20–24, women: 1.5 million 25–29, women: 1.2 million 30–34, women: 1 million 35–39, women: 0.87 million 40–44, women: 0.75 million 45–49, women: 0.64 million 50–54, women: 0.54 million 55–59, women: 0.47 million 60–64, women: 0.41 million 65–69, women: 0.33 million 70–74, women: 0.24 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 2m 0 2m Men Women 0–4, men: 1.5 million 5–9, men: 1.5 million 10–14, men: 1.5 million 15–19, men: 1.6 million 20–24, men: 1.4 million 25–29, men: 1.1 million 30–34, men: 0.89 million 35–39, men: 0.8 million 40–44, men: 0.72 million 45–49, men: 0.65 million 50–54, men: 0.55 million 55–59, men: 0.49 million 60–64, men: 0.42 million 65–69, men: 0.34 million 70–74, men: 0.24 million 75–79, men: 0.14 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: 1.4 million 5–9, women: 1.4 million 10–14, women: 1.5 million 15–19, women: 1.6 million 20–24, women: 1.5 million 25–29, women: 1.4 million 30–34, women: 1.2 million 35–39, women: 1 million 40–44, women: 0.86 million 45–49, women: 0.74 million 50–54, women: 0.62 million 55–59, women: 0.52 million 60–64, women: 0.44 million 65–69, women: 0.37 million 70–74, women: 0.28 million 75–79, women: 0.18 million 80–84, women: 0.09 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 2m 0 2m Men Women 0–4, men: 1.4 million 5–9, men: 1.4 million 10–14, men: 1.5 million 15–19, men: 1.5 million 20–24, men: 1.4 million 25–29, men: 1.2 million 30–34, men: 1 million 35–39, men: 0.84 million 40–44, men: 0.78 million 45–49, men: 0.69 million 50–54, men: 0.63 million 55–59, men: 0.51 million 60–64, men: 0.44 million 65–69, men: 0.36 million 70–74, men: 0.26 million 75–79, men: 0.17 million 80–84, men: 0.08 million 85–89, men: 0.03 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 1.3 million 5–9, women: 1.3 million 10–14, women: 1.4 million 15–19, women: 1.4 million 20–24, women: 1.5 million 25–29, women: 1.4 million 30–34, women: 1.3 million 35–39, women: 1.1 million 40–44, women: 1 million 45–49, women: 0.84 million 50–54, women: 0.72 million 55–59, women: 0.59 million 60–64, women: 0.48 million 65–69, women: 0.4 million 70–74, women: 0.31 million 75–79, women: 0.21 million 80–84, women: 0.11 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 2m 0 2m Men Women 0–4, men: 1.3 million 5–9, men: 1.3 million 10–14, men: 1.4 million 15–19, men: 1.4 million 20–24, men: 1.4 million 25–29, men: 1.3 million 30–34, men: 1.1 million 35–39, men: 0.95 million 40–44, men: 0.8 million 45–49, men: 0.74 million 50–54, men: 0.66 million 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men: 1.3 million 15–19, men: 1.3 million 20–24, men: 1.3 million 25–29, men: 1.4 million 30–34, men: 1.4 million 35–39, men: 1.3 million 40–44, men: 1.1 million 45–49, men: 0.92 million 50–54, men: 0.76 million 55–59, men: 0.68 million 60–64, men: 0.58 million 65–69, men: 0.48 million 70–74, men: 0.34 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: 1.2 million 5–9, women: 1.2 million 10–14, women: 1.3 million 15–19, women: 1.3 million 20–24, women: 1.3 million 25–29, women: 1.3 million 30–34, women: 1.4 million 35–39, women: 1.4 million 40–44, women: 1.4 million 45–49, women: 1.2 million 50–54, women: 1.1 million 55–59, women: 0.92 million 60–64, women: 0.74 million 65–69, women: 0.6 million 70–74, women: 0.44 million 75–79, women: 0.3 million 80–84, women: 0.17 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 2m 0 2m Men Women 0–4, men: 1.2 million 5–9, men: 1.2 million 10–14, men: 1.2 million 15–19, men: 1.3 million 20–24, men: 1.3 million 25–29, men: 1.3 million 30–34, men: 1.4 million 35–39, men: 1.3 million 40–44, men: 1.2 million 45–49, men: 1.1 million 50–54, men: 0.9 million 55–59, men: 0.73 million 60–64, men: 0.64 million 65–69, men: 0.52 million 70–74, men: 0.4 million 75–79, men: 0.25 million 80–84, men: 0.14 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: 1.1 million 5–9, women: 1.1 million 10–14, women: 1.2 million 15–19, women: 1.2 million 20–24, women: 1.3 million 25–29, women: 1.3 million 30–34, women: 1.3 million 35–39, women: 1.4 million 40–44, women: 1.4 million 45–49, women: 1.3 million 50–54, women: 1.2 million 55–59, women: 1 million 60–64, women: 0.88 million 65–69, women: 0.69 million 70–74, women: 0.53 million 75–79, women: 0.36 million 80–84, women: 0.2 million 85–89, women: 0.09 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 2m 0 2m Men Women 0–4, men: 1.1 million 5–9, men: 1.1 million 10–14, men: 1.2 million 15–19, men: 1.2 million 20–24, men: 1.3 million 25–29, men: 1.3 million 30–34, men: 1.3 million 35–39, men: 1.4 million 40–44, men: 1.3 million 45–49, men: 1.2 million 50–54, men: 1.1 million 55–59, men: 0.86 million 60–64, men: 0.68 million 65–69, men: 0.57 million 70–74, men: 0.44 million 75–79, men: 0.3 million 80–84, men: 0.16 million 85–89, men: 0.07 million 90–94, men: 0.02 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 1.1 million 5–9, women: 1.1 million 10–14, women: 1.1 million 15–19, women: 1.2 million 20–24, women: 1.2 million 25–29, women: 1.3 million 30–34, women: 1.3 million 35–39, women: 1.3 million 40–44, women: 1.4 million 45–49, women: 1.4 million 50–54, women: 1.3 million 55–59, women: 1.2 million 60–64, women: 0.99 million 65–69, women: 0.83 million 70–74, women: 0.62 million 75–79, women: 0.44 million 80–84, women: 0.25 million 85–89, women: 0.11 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 2m 0 2m Men Women 0–4, men: 1.1 million 5–9, men: 1.1 million 10–14, men: 1.1 million 15–19, men: 1.2 million 20–24, men: 1.2 million 25–29, men: 1.2 million 30–34, men: 1.2 million 35–39, men: 1.3 million 40–44, men: 1.3 million 45–49, men: 1.3 million 50–54, men: 1.2 million 55–59, men: 1 million 60–64, men: 0.81 million 65–69, men: 0.62 million 70–74, men: 0.49 million 75–79, men: 0.34 million 80–84, men: 0.2 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: 1 million 5–9, women: 1.1 million 10–14, women: 1.1 million 15–19, women: 1.1 million 20–24, women: 1.2 million 25–29, women: 1.2 million 30–34, women: 1.3 million 35–39, women: 1.3 million 40–44, women: 1.3 million 45–49, women: 1.3 million 50–54, women: 1.4 million 55–59, women: 1.3 million 60–64, women: 1.1 million 65–69, women: 0.93 million 70–74, women: 0.74 million 75–79, women: 0.51 million 80–84, women: 0.31 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 2m 0 2m Men Women 0–4, men: 1 million 5–9, men: 1.1 million 10–14, men: 1.1 million 15–19, men: 1.1 million 20–24, men: 1.1 million 25–29, men: 1.2 million 30–34, men: 1.2 million 35–39, men: 1.2 million 40–44, men: 1.3 million 45–49, men: 1.3 million 50–54, men: 1.3 million 55–59, men: 1.2 million 60–64, men: 0.97 million 65–69, men: 0.74 million 70–74, men: 0.54 million 75–79, men: 0.39 million 80–84, men: 0.23 million 85–89, men: 0.1 million 90–94, men: 0.03 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.98 million 5–9, women: 1 million 10–14, women: 1.1 million 15–19, women: 1.1 million 20–24, women: 1.1 million 25–29, women: 1.2 million 30–34, women: 1.2 million 35–39, women: 1.3 million 40–44, women: 1.3 million 45–49, women: 1.3 million 50–54, women: 1.3 million 55–59, women: 1.3 million 60–64, women: 1.2 million 65–69, women: 1.1 million 70–74, women: 0.85 million 75–79, women: 0.63 million 80–84, women: 0.38 million 85–89, women: 0.18 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 2m 0 2m Men Women 0–4, men: 0.97 million 5–9, men: 1 million 10–14, men: 1.1 million 15–19, men: 1.1 million 20–24, men: 1.1 million 25–29, men: 1.1 million 30–34, men: 1.2 million 35–39, men: 1.2 million 40–44, men: 1.2 million 45–49, men: 1.3 million 50–54, men: 1.3 million 55–59, men: 1.2 million 60–64, men: 1.1 million 65–69, men: 0.89 million 70–74, men: 0.65 million 75–79, men: 0.43 million 80–84, men: 0.27 million 85–89, men: 0.12 million 90–94, men: 0.03 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.93 million 5–9, women: 0.97 million 10–14, women: 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million 100+, men: 0 million 0–4, women: 0.89 million 5–9, women: 0.93 million 10–14, women: 0.97 million 15–19, women: 1 million 20–24, women: 1 million 25–29, women: 1.1 million 30–34, women: 1.1 million 35–39, women: 1.2 million 40–44, women: 1.2 million 45–49, women: 1.2 million 50–54, women: 1.2 million 55–59, women: 1.2 million 60–64, women: 1.3 million 65–69, women: 1.2 million 70–74, women: 1.1 million 75–79, women: 0.84 million 80–84, women: 0.55 million 85–89, women: 0.29 million 90–94, women: 0.1 million 95–99, women: 0.02 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 2m 0 2m Men Women 0–4, men: 0.89 million 5–9, men: 0.92 million 10–14, men: 0.96 million 15–19, men: 1 million 20–24, men: 1 million 25–29, men: 1 million 30–34, men: 1.1 million 35–39, men: 1.1 million 40–44, men: 1.2 million 45–49, men: 1.2 million 50–54, men: 1.2 million 55–59, men: 1.2 million 60–64, men: 1.2 million 65–69, men: 1.1 million 70–74, men: 0.92 million 75–79, men: 0.65 million 80–84, men: 0.38 million 85–89, men: 0.17 million 90–94, men: 0.05 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.86 million 5–9, women: 0.89 million 10–14, women: 0.93 million 15–19, women: 0.97 million 20–24, women: 1 million 25–29, women: 1 million 30–34, women: 1.1 million 35–39, women: 1.1 million 40–44, women: 1.1 million 45–49, women: 1.2 million 50–54, women: 1.2 million 55–59, women: 1.2 million 60–64, women: 1.2 million 65–69, women: 1.2 million 70–74, women: 1.1 million 75–79, women: 0.95 million 80–84, women: 0.65 million 85–89, women: 0.35 million 90–94, women: 0.13 million 95–99, women: 0.03 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 2m 0 2m Men Women 0–4, men: 0.86 million 5–9, men: 0.88 million 10–14, men: 0.92 million 15–19, men: 0.95 million 20–24, men: 0.97 million 25–29, men: 1 million 30–34, men: 1 million 35–39, men: 1.1 million 40–44, men: 1.1 million 45–49, men: 1.1 million 50–54, men: 1.2 million 55–59, men: 1.2 million 60–64, men: 1.2 million 65–69, men: 1.1 million 70–74, men: 1 million 75–79, men: 0.77 million 80–84, men: 0.48 million 85–89, men: 0.22 million 90–94, men: 0.07 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.82 million 5–9, women: 0.85 million 10–14, women: 0.89 million 15–19, women: 0.92 million 20–24, women: 0.95 million 25–29, women: 0.99 million 30–34, women: 1 million 35–39, women: 1.1 million 40–44, women: 1.1 million 45–49, women: 1.1 million 50–54, women: 1.2 million 55–59, women: 1.2 million 60–64, women: 1.2 million 65–69, women: 1.2 million 70–74, women: 1.1 million 75–79, women: 1 million 80–84, women: 0.75 million 85–89, women: 0.42 million 90–94, women: 0.17 million 95–99, women: 0.04 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 2m 0 2m Men Women 0–4, men: 0.82 million 5–9, men: 0.85 million 10–14, men: 0.88 million 15–19, men: 0.91 million 20–24, men: 0.93 million 25–29, men: 0.95 million 30–34, men: 0.99 million 35–39, men: 1 million 40–44, men: 1.1 million 45–49, men: 1.1 million 50–54, men: 1.1 million 55–59, men: 1.1 million 60–64, men: 1.1 million 65–69, men: 1.1 million 70–74, men: 1 million 75–79, men: 0.85 million 80–84, men: 0.58 million 85–89, men: 0.29 million 90–94, men: 0.09 million 95–99, men: 0.02 million 100+, men: 0 million 0–4, women: 0.78 million 5–9, women: 0.82 million 10–14, women: 0.85 million 15–19, women: 0.88 million 20–24, women: 0.91 million 25–29, women: 0.94 million 30–34, women: 0.98 million 35–39, women: 1 million 40–44, women: 1.1 million 45–49, women: 1.1 million 50–54, women: 1.1 million 55–59, women: 1.2 million 60–64, women: 1.2 million 65–69, women: 1.1 million 70–74, women: 1.1 million 75–79, women: 1 million 80–84, women: 0.8 million 85–89, women: 0.5 million 90–94, women: 0.21 million 95–99, women: 0.05 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 2m 0 2m Men Women 0–4, men: 0.78 million 5–9, men: 0.81 million 10–14, men: 0.84 million 15–19, men: 0.87 million 20–24, men: 0.89 million 25–29, men: 0.91 million 30–34, men: 0.95 million 35–39, men: 0.98 million 40–44, men: 1 million 45–49, men: 1 million 50–54, men: 1.1 million 55–59, men: 1.1 million 60–64, men: 1.1 million 65–69, men: 1.1 million 70–74, men: 1 million 75–79, men: 0.89 million 80–84, men: 0.65 million 85–89, men: 0.36 million 90–94, men: 0.13 million 95–99, men: 0.02 million 100+, men: 0 million 0–4, women: 0.75 million 5–9, women: 0.78 million 10–14, women: 0.81 million 15–19, women: 0.84 million 20–24, women: 0.87 million 25–29, women: 0.9 million 30–34, women: 0.94 million 35–39, women: 0.98 million 40–44, women: 1 million 45–49, women: 1 million 50–54, women: 1.1 million 55–59, women: 1.1 million 60–64, women: 1.1 million 65–69, women: 1.1 million 70–74, women: 1.1 million 75–79, women: 0.98 million 80–84, women: 0.81 million 85–89, women: 0.54 million 90–94, women: 0.25 million 95–99, women: 0.07 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 2m 0 2m Men Women 0–4, men: 0.75 million 5–9, men: 0.78 million 10–14, men: 0.81 million 15–19, men: 0.84 million 20–24, men: 0.85 million 25–29, men: 0.87 million 30–34, men: 0.9 million 35–39, men: 0.94 million 40–44, men: 0.98 million 45–49, men: 1 million 50–54, men: 1 million 55–59, men: 1.1 million 60–64, men: 1.1 million 65–69, men: 1.1 million 70–74, men: 0.99 million 75–79, men: 0.88 million 80–84, men: 0.69 million 85–89, men: 0.42 million 90–94, men: 0.17 million 95–99, men: 0.03 million 100+, men: 0 million 0–4, women: 0.72 million 5–9, women: 0.75 million 10–14, women: 0.78 million 15–19, women: 0.81 million 20–24, women: 0.83 million 25–29, women: 0.86 million 30–34, women: 0.89 million 35–39, women: 0.93 million 40–44, women: 0.97 million 45–49, women: 1 million 50–54, women: 1 million 55–59, women: 1.1 million 60–64, women: 1.1 million 65–69, women: 1.1 million 70–74, women: 1.1 million 75–79, women: 0.97 million 80–84, women: 0.81 million 85–89, women: 0.56 million 90–94, women: 0.29 million 95–99, women: 0.08 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 2m 0 2m Men Women 0–4, men: 0.72 million 5–9, men: 0.74 million 10–14, men: 0.77 million 15–19, men: 0.8 million 20–24, men: 0.81 million 25–29, men: 0.83 million 30–34, men: 0.86 million 35–39, men: 0.9 million 40–44, men: 0.94 million 45–49, men: 0.97 million 50–54, men: 1 million 55–59, men: 1 million 60–64, men: 1 million 65–69, men: 1 million 70–74, men: 0.98 million 75–79, men: 0.87 million 80–84, men: 0.7 million 85–89, men: 0.46 million 90–94, men: 0.2 million 95–99, men: 0.05 million 100+, men: 0.01 million 0–4, women: 0.69 million 5–9, women: 0.71 million 10–14, women: 0.74 million 15–19, women: 0.77 million 20–24, women: 0.8 million 25–29, women: 0.82 million 30–34, women: 0.86 million 35–39, women: 0.89 million 40–44, women: 0.93 million 45–49, women: 0.97 million 50–54, women: 1 million 55–59, women: 1 million 60–64, women: 1 million 65–69, women: 1.1 million 70–74, women: 1 million 75–79, women: 0.98 million 80–84, women: 0.8 million 85–89, women: 0.57 million 90–94, women: 0.31 million 95–99, women: 0.1 million 100+, women: 0.02 million 0 10 20 30 40 50 60 70 80 90 100 2m 0 2m 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 1.98 2023 · 114th of 237 · UN WPP 2024
Median age 24.7 2023 · 166th of 237 · UN WPP 2024
Aged 65 and over 6.6% 2025, Projection, medium variant · UN WPP 2024
Nepal emitted 18.8 Mt of CO2 from fossil fuels and cement in 2024.
Nepal’s CO2 emissions, million tonnes, 1990–2024 0 Mt 5 Mt 10 Mt 15 Mt 20 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 19Mt 2024 · 92nd of 214 · Global Carbon Budget
CO2 per person 0.6t 2024 · 170th of 213 · Global Carbon Budget
CO2 since 1750 232Mt 2024 · 126th of 214 · Global Carbon Budget
Shown only where a source covers Nepal.
Refugees 19,915 refugees and others in need of protection hosted, 2025
22,583 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$1.98billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents 7 publicly known incidents affecting Nepal, 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
52 measures on this site have a recent figure for Nepal.
Measure Value Year Rank Source GDP $45 bn 2025 102nd of 186 World Bank GDP per person $1,536 2025 160th of 186 World Bank Economic growth 4.4% 2025 58th of 186 World Bank Inflation 2.7% 2025 91st of 169 World Bank Government debt 47% 2025 111th of 191 IMF World Economic Outlook, October 2026 Government budget balance −1.8% 2025 77th of 195 IMF World Economic Outlook, October 2026 Current account balance 6.6% 2025 29th of 194 IMF World Economic Outlook, October 2026 Unemployment 10.5% 2025 33rd of 181 World Bank Reserves, including gold $16 bn 2024 67th of 164 World Bank Trade 40% 2024 154th of 172 World Bank Foreign investment in $44 m 2025 161st of 200 World Bank Remittances received 26.0% 2024 4th of 162 World Bank Population 30 m 2025 52nd of 216 World Bank Population with UN projections 30 m 2023 51st of 237 UN WPP 2024 Births per woman 1.98 2023 114th of 237 UN WPP 2024 Median age 24.7 2023 166th of 237 UN WPP 2024 Life expectancy 70.4 2023 168th of 237 UN WPP 2024 Refugees from the country 22,583 2025 62nd of 206 UNHCR Refugees and others needing protection, by host 19,915 2025 100th of 176 UNHCR Refugees hosted per 1,000 people 0.7 2025 119th of 176 UNHCR Crude oil production 0 kb/d 2025 100th of 214 EIA Oil consumption 61 kb/d 2024 100th of 212 EIA Natural gas production 2024 97th of 213 EIA Natural gas consumption 0.0 bcm 2024 126th of 213 EIA Electricity generated 11 TWh 2024 104th of 193 Ember Low-carbon electricity 100% 2024 1st of 193 Ember Electricity from coal 0% 2024 82nd of 193 Ember Electricity from wind and solar 1.2% 2024 140th of 193 Ember Wheat production 2.0 Mt 2024 39th of 123 FAOSTAT Wheat imports 0.1 Mt 2024 122nd of 180 FAOSTAT Maize production 3.2 Mt 2024 36th of 169 FAOSTAT Maize imports 0.4 Mt 2024 54th of 196 FAOSTAT Rice production 4.0 Mt 2024 16th of 135 FAOSTAT Rice imports 0.3 Mt 2024 40th of 197 FAOSTAT Soybean production 0.0 Mt 2024 57th of 108 FAOSTAT Soybean imports 0.1 Mt 2024 50th of 179 FAOSTAT Potash fertiliser use 0.01 Mt 2024 99th of 199 FAOSTAT Phosphate fertiliser use 0.04 Mt 2024 64th of 199 FAOSTAT CO2 emissions 19 Mt 2024 92nd of 214 Global Carbon Budget CO2 per person 0.6 t 2024 170th of 213 Global Carbon Budget CO2 emitted since 1750 232 Mt 2024 126th of 214 Global Carbon Budget Net CO2 imports through trade 158% 2023 7th of 120 Global Carbon Budget Water stress 3.2 2023 44th of 164 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water from abroad 6% 2023 98th of 193 FAO AQUASTAT Military spending, share of GDP 1.0% 2025 112th of 150 World Bank Military spending $428 m 2025 104th of 150 World Bank Deaths in organised violence 1 2025 58th of 61 UCDP Arms imports 6 TIV m 2025 89th of 108 SIPRI People using the internet 46% 2024 148th of 182 World Bank ICT service exports $134 m 2024 95th of 162 World Bank ICT service exports, share of service exports 7.1% 2024 79th of 162 World Bank Chinese loans and grants committed $149 m 2021 37th 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 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, Net CO2 imports through trade 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