1 Dependencies at a glance Palestine 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 75% of the wheat it uses FAOSTAT, use 2022 · FAOSTAT, imports 2023 Romania Maize – Not reported by this source – Rice – Not reported by this source – Soybeans – Not reported by this source – Potash Imports all of its potash supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 No partner data from the source Phosphate Imports all of its phosphate supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 No partner data from the source Arms – Supplier concentration only Main supplier: Jordan, 100% of importsSIPRI, 2021–2025 Jordan 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 75% of the wheat it uses
Main partners: Romania
FAOSTAT, use 2022 · FAOSTAT, imports 2023
Maize Not reported by this source
Rice Not reported by this source
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: Jordan, 100% of imports
Main partners: Jordan
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 2025
Palestine’s economy produced $17 bn in 2025.
GDP, 2000–2025 $0 $5.0 bn $10 bn $15 bn $20 bn 2000 2005 2010 2015 2020 2025 Source: World Bank Indicators · 2000–2025 · Updated 13 Nov 2026
Economic growth 4.3% 2025 · 64th of 186 · World Bank
Inflation 9.8% 2025 · 17th of 169 · World Bank
Reserves US$1.33billion 2024 · 130th of 164 · World Bank
Trade 75% of GDP 2024 · 99th of 172 · World Bank
Foreign investment in US$330million 2025 · 129th of 200 · World Bank
Palestine had 5.4 m people in 2025.
Population, 1950–2100 0 5.0 m 10 m 15 m 20 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Palestine’s population by age Men Women 0–4, men: 0.09 million 5–9, men: 0.07 million 10–14, men: 0.06 million 15–19, men: 0.05 million 20–24, men: 0.04 million 25–29, men: 0.03 million 30–34, men: 0.02 million 35–39, men: 0.02 million 40–44, men: 0.02 million 45–49, men: 0.02 million 50–54, men: 0.02 million 55–59, men: 0.02 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.08 million 5–9, women: 0.07 million 10–14, women: 0.06 million 15–19, women: 0.05 million 20–24, women: 0.04 million 25–29, women: 0.03 million 30–34, women: 0.02 million 35–39, women: 0.02 million 40–44, women: 0.02 million 45–49, women: 0.01 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.1 million 5–9, men: 0.08 million 10–14, men: 0.06 million 15–19, men: 0.05 million 20–24, men: 0.04 million 25–29, men: 0.03 million 30–34, men: 0.02 million 35–39, men: 0.02 million 40–44, men: 0.02 million 45–49, men: 0.02 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0.01 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: 0.09 million 5–9, women: 0.07 million 10–14, women: 0.06 million 15–19, women: 0.05 million 20–24, women: 0.04 million 25–29, women: 0.03 million 30–34, women: 0.03 million 35–39, women: 0.02 million 40–44, women: 0.02 million 45–49, women: 0.02 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.11 million 5–9, men: 0.08 million 10–14, men: 0.07 million 15–19, men: 0.06 million 20–24, men: 0.05 million 25–29, men: 0.04 million 30–34, men: 0.03 million 35–39, men: 0.02 million 40–44, men: 0.02 million 45–49, men: 0.02 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0.01 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: 0.1 million 5–9, women: 0.08 million 10–14, women: 0.07 million 15–19, women: 0.05 million 20–24, women: 0.05 million 25–29, women: 0.04 million 30–34, women: 0.03 million 35–39, women: 0.02 million 40–44, women: 0.02 million 45–49, women: 0.02 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.12 million 5–9, men: 0.09 million 10–14, men: 0.07 million 15–19, men: 0.06 million 20–24, men: 0.05 million 25–29, men: 0.04 million 30–34, men: 0.03 million 35–39, men: 0.02 million 40–44, men: 0.02 million 45–49, men: 0.02 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0.01 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: 0.11 million 5–9, women: 0.09 million 10–14, women: 0.07 million 15–19, women: 0.06 million 20–24, women: 0.05 million 25–29, women: 0.04 million 30–34, women: 0.03 million 35–39, women: 0.03 million 40–44, women: 0.02 million 45–49, women: 0.02 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.11 million 5–9, men: 0.09 million 10–14, men: 0.07 million 15–19, men: 0.06 million 20–24, men: 0.05 million 25–29, men: 0.04 million 30–34, men: 0.03 million 35–39, men: 0.03 million 40–44, men: 0.02 million 45–49, men: 0.01 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0.01 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: 0.11 million 5–9, women: 0.09 million 10–14, women: 0.07 million 15–19, women: 0.06 million 20–24, women: 0.05 million 25–29, women: 0.04 million 30–34, women: 0.03 million 35–39, women: 0.03 million 40–44, women: 0.02 million 45–49, women: 0.02 million 50–54, women: 0.01 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.13 million 5–9, men: 0.11 million 10–14, men: 0.09 million 15–19, men: 0.07 million 20–24, men: 0.05 million 25–29, men: 0.05 million 30–34, men: 0.04 million 35–39, men: 0.03 million 40–44, men: 0.02 million 45–49, men: 0.02 million 50–54, men: 0.01 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.13 million 5–9, women: 0.1 million 10–14, women: 0.08 million 15–19, women: 0.07 million 20–24, women: 0.05 million 25–29, women: 0.04 million 30–34, women: 0.04 million 35–39, women: 0.03 million 40–44, women: 0.02 million 45–49, women: 0.02 million 50–54, women: 0.02 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.15 million 5–9, men: 0.12 million 10–14, men: 0.1 million 15–19, men: 0.08 million 20–24, men: 0.06 million 25–29, men: 0.05 million 30–34, men: 0.04 million 35–39, men: 0.03 million 40–44, men: 0.03 million 45–49, men: 0.02 million 50–54, men: 0.02 million 55–59, men: 0.01 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0 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: 0.14 million 5–9, women: 0.12 million 10–14, women: 0.1 million 15–19, women: 0.08 million 20–24, women: 0.06 million 25–29, women: 0.05 million 30–34, women: 0.04 million 35–39, women: 0.03 million 40–44, women: 0.03 million 45–49, women: 0.02 million 50–54, women: 0.02 million 55–59, women: 0.01 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.18 million 5–9, men: 0.14 million 10–14, men: 0.12 million 15–19, men: 0.1 million 20–24, men: 0.08 million 25–29, men: 0.06 million 30–34, men: 0.05 million 35–39, men: 0.04 million 40–44, men: 0.03 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: 0.17 million 5–9, women: 0.14 million 10–14, women: 0.11 million 15–19, women: 0.09 million 20–24, women: 0.08 million 25–29, women: 0.06 million 30–34, women: 0.05 million 35–39, women: 0.04 million 40–44, women: 0.03 million 45–49, women: 0.03 million 50–54, women: 0.02 million 55–59, women: 0.02 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.22 million 5–9, men: 0.18 million 10–14, men: 0.14 million 15–19, men: 0.12 million 20–24, men: 0.09 million 25–29, men: 0.08 million 30–34, men: 0.06 million 35–39, men: 0.05 million 40–44, men: 0.04 million 45–49, men: 0.03 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: 0.01 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: 0.21 million 5–9, women: 0.17 million 10–14, women: 0.14 million 15–19, women: 0.11 million 20–24, women: 0.09 million 25–29, women: 0.08 million 30–34, women: 0.06 million 35–39, women: 0.05 million 40–44, women: 0.04 million 45–49, women: 0.03 million 50–54, women: 0.03 million 55–59, women: 0.02 million 60–64, women: 0.01 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.26 million 5–9, men: 0.22 million 10–14, men: 0.18 million 15–19, men: 0.15 million 20–24, men: 0.12 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: 0.04 million 50–54, men: 0.03 million 55–59, men: 0.02 million 60–64, men: 0.02 million 65–69, men: 0.01 million 70–74, men: 0.01 million 75–79, men: 0 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: 0.17 million 15–19, women: 0.14 million 20–24, women: 0.11 million 25–29, women: 0.09 million 30–34, women: 0.08 million 35–39, women: 0.06 million 40–44, women: 0.05 million 45–49, women: 0.04 million 50–54, women: 0.03 million 55–59, women: 0.02 million 60–64, women: 0.02 million 65–69, women: 0.01 million 70–74, women: 0.01 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.29 million 5–9, men: 0.26 million 10–14, men: 0.22 million 15–19, men: 0.18 million 20–24, men: 0.14 million 25–29, men: 0.12 million 30–34, men: 0.09 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: 0.03 million 60–64, men: 0.02 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: 0.25 million 10–14, women: 0.21 million 15–19, women: 0.17 million 20–24, women: 0.14 million 25–29, women: 0.11 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: 0.04 million 55–59, women: 0.03 million 60–64, women: 0.02 million 65–69, women: 0.02 million 70–74, women: 0.01 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.3 million 5–9, men: 0.27 million 10–14, men: 0.25 million 15–19, men: 0.21 million 20–24, men: 0.17 million 25–29, men: 0.13 million 30–34, men: 0.1 million 35–39, men: 0.08 million 40–44, men: 0.07 million 45–49, men: 0.06 million 50–54, men: 0.04 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: 0.01 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: 0.29 million 5–9, women: 0.26 million 10–14, women: 0.24 million 15–19, women: 0.21 million 20–24, women: 0.17 million 25–29, women: 0.13 million 30–34, women: 0.11 million 35–39, women: 0.09 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: 0.03 million 65–69, women: 0.02 million 70–74, women: 0.01 million 75–79, women: 0.01 million 80–84, women: 0 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.32 million 5–9, men: 0.28 million 10–14, men: 0.25 million 15–19, men: 0.24 million 20–24, men: 0.2 million 25–29, men: 0.16 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: 0.05 million 55–59, men: 0.04 million 60–64, men: 0.03 million 65–69, men: 0.02 million 70–74, men: 0.02 million 75–79, men: 0.01 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.31 million 5–9, women: 0.28 million 10–14, women: 0.25 million 15–19, women: 0.24 million 20–24, women: 0.2 million 25–29, women: 0.16 million 30–34, women: 0.13 million 35–39, women: 0.1 million 40–44, women: 0.09 million 45–49, women: 0.07 million 50–54, women: 0.06 million 55–59, women: 0.04 million 60–64, women: 0.03 million 65–69, women: 0.02 million 70–74, women: 0.02 million 75–79, women: 0.01 million 80–84, women: 0.01 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.35 million 5–9, men: 0.3 million 10–14, men: 0.26 million 15–19, men: 0.24 million 20–24, men: 0.23 million 25–29, men: 0.2 million 30–34, men: 0.15 million 35–39, men: 0.12 million 40–44, men: 0.09 million 45–49, men: 0.08 million 50–54, men: 0.07 million 55–59, men: 0.05 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: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.34 million 5–9, women: 0.3 million 10–14, women: 0.27 million 15–19, women: 0.25 million 20–24, women: 0.24 million 25–29, women: 0.2 million 30–34, women: 0.15 million 35–39, women: 0.12 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: 0.01 million 85–89, women: 0 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.37 million 5–9, men: 0.34 million 10–14, men: 0.29 million 15–19, men: 0.25 million 20–24, men: 0.23 million 25–29, men: 0.22 million 30–34, men: 0.19 million 35–39, men: 0.14 million 40–44, men: 0.11 million 45–49, men: 0.09 million 50–54, men: 0.08 million 55–59, men: 0.06 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: 0.35 million 5–9, women: 0.33 million 10–14, women: 0.3 million 15–19, women: 0.26 million 20–24, women: 0.24 million 25–29, women: 0.22 million 30–34, women: 0.19 million 35–39, women: 0.15 million 40–44, women: 0.12 million 45–49, women: 0.1 million 50–54, women: 0.08 million 55–59, women: 0.07 million 60–64, women: 0.05 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 0m 0 0m Men Women 0–4, men: 0.36 million 5–9, men: 0.37 million 10–14, men: 0.34 million 15–19, men: 0.29 million 20–24, men: 0.24 million 25–29, men: 0.22 million 30–34, men: 0.21 million 35–39, men: 0.18 million 40–44, men: 0.14 million 45–49, men: 0.11 million 50–54, men: 0.09 million 55–59, men: 0.07 million 60–64, men: 0.06 million 65–69, men: 0.04 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: 0.35 million 5–9, women: 0.35 million 10–14, women: 0.33 million 15–19, women: 0.29 million 20–24, women: 0.25 million 25–29, women: 0.23 million 30–34, women: 0.22 million 35–39, women: 0.18 million 40–44, women: 0.14 million 45–49, women: 0.12 million 50–54, women: 0.09 million 55–59, women: 0.08 million 60–64, women: 0.06 million 65–69, women: 0.05 million 70–74, women: 0.03 million 75–79, women: 0.02 million 80–84, women: 0.01 million 85–89, women: 0.01 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.36 million 5–9, men: 0.36 million 10–14, men: 0.36 million 15–19, men: 0.34 million 20–24, men: 0.28 million 25–29, men: 0.23 million 30–34, men: 0.21 million 35–39, men: 0.21 million 40–44, men: 0.18 million 45–49, men: 0.14 million 50–54, men: 0.1 million 55–59, men: 0.08 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: 0.35 million 5–9, women: 0.34 million 10–14, women: 0.35 million 15–19, women: 0.33 million 20–24, women: 0.28 million 25–29, women: 0.24 million 30–34, women: 0.22 million 35–39, women: 0.21 million 40–44, women: 0.18 million 45–49, women: 0.14 million 50–54, women: 0.11 million 55–59, women: 0.09 million 60–64, women: 0.07 million 65–69, women: 0.06 million 70–74, women: 0.04 million 75–79, women: 0.03 million 80–84, women: 0.02 million 85–89, women: 0.01 million 90–94, women: 0 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.37 million 5–9, men: 0.36 million 10–14, men: 0.36 million 15–19, men: 0.36 million 20–24, men: 0.33 million 25–29, men: 0.27 million 30–34, men: 0.23 million 35–39, men: 0.21 million 40–44, men: 0.21 million 45–49, men: 0.17 million 50–54, men: 0.13 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: 0.03 million 80–84, men: 0.01 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.36 million 5–9, women: 0.34 million 10–14, women: 0.34 million 15–19, women: 0.34 million 20–24, women: 0.32 million 25–29, women: 0.28 million 30–34, women: 0.24 million 35–39, women: 0.22 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: 0.09 million 65–69, women: 0.07 million 70–74, women: 0.05 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 0m 0 0m Men Women 0–4, men: 0.39 million 5–9, men: 0.37 million 10–14, men: 0.36 million 15–19, men: 0.35 million 20–24, men: 0.35 million 25–29, men: 0.32 million 30–34, men: 0.27 million 35–39, men: 0.23 million 40–44, men: 0.21 million 45–49, men: 0.2 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: 0.05 million 75–79, men: 0.03 million 80–84, men: 0.02 million 85–89, men: 0.01 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.37 million 5–9, women: 0.35 million 10–14, women: 0.34 million 15–19, women: 0.34 million 20–24, women: 0.34 million 25–29, women: 0.32 million 30–34, women: 0.27 million 35–39, women: 0.23 million 40–44, women: 0.22 million 45–49, women: 0.21 million 50–54, women: 0.17 million 55–59, women: 0.14 million 60–64, women: 0.11 million 65–69, women: 0.08 million 70–74, women: 0.07 million 75–79, women: 0.05 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 0m 0 0m Men Women 0–4, men: 0.4 million 5–9, men: 0.39 million 10–14, men: 0.37 million 15–19, men: 0.36 million 20–24, men: 0.35 million 25–29, men: 0.35 million 30–34, men: 0.32 million 35–39, men: 0.27 million 40–44, men: 0.22 million 45–49, men: 0.2 million 50–54, men: 0.2 million 55–59, men: 0.16 million 60–64, men: 0.12 million 65–69, men: 0.09 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: 0.38 million 5–9, women: 0.37 million 10–14, women: 0.35 million 15–19, women: 0.34 million 20–24, women: 0.33 million 25–29, women: 0.33 million 30–34, women: 0.31 million 35–39, women: 0.27 million 40–44, women: 0.23 million 45–49, women: 0.21 million 50–54, women: 0.2 million 55–59, women: 0.17 million 60–64, women: 0.13 million 65–69, women: 0.1 million 70–74, women: 0.08 million 75–79, women: 0.06 million 80–84, women: 0.04 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 0m 0 0m Men Women 0–4, men: 0.39 million 5–9, men: 0.4 million 10–14, men: 0.39 million 15–19, men: 0.37 million 20–24, men: 0.35 million 25–29, men: 0.34 million 30–34, men: 0.34 million 35–39, men: 0.32 million 40–44, men: 0.26 million 45–49, men: 0.22 million 50–54, men: 0.2 million 55–59, men: 0.19 million 60–64, men: 0.16 million 65–69, men: 0.11 million 70–74, men: 0.08 million 75–79, men: 0.05 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: 0.37 million 5–9, women: 0.38 million 10–14, women: 0.37 million 15–19, women: 0.35 million 20–24, women: 0.33 million 25–29, women: 0.33 million 30–34, women: 0.33 million 35–39, women: 0.31 million 40–44, women: 0.27 million 45–49, women: 0.23 million 50–54, women: 0.21 million 55–59, women: 0.2 million 60–64, women: 0.17 million 65–69, women: 0.13 million 70–74, women: 0.1 million 75–79, women: 0.07 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 0m 0 0m Men Women 0–4, men: 0.38 million 5–9, men: 0.39 million 10–14, men: 0.39 million 15–19, men: 0.38 million 20–24, men: 0.36 million 25–29, men: 0.34 million 30–34, men: 0.34 million 35–39, men: 0.34 million 40–44, men: 0.31 million 45–49, men: 0.26 million 50–54, men: 0.22 million 55–59, men: 0.2 million 60–64, men: 0.19 million 65–69, men: 0.15 million 70–74, men: 0.1 million 75–79, men: 0.07 million 80–84, men: 0.04 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: 0.36 million 5–9, women: 0.37 million 10–14, women: 0.38 million 15–19, women: 0.37 million 20–24, women: 0.34 million 25–29, women: 0.33 million 30–34, women: 0.32 million 35–39, women: 0.33 million 40–44, women: 0.31 million 45–49, women: 0.27 million 50–54, women: 0.23 million 55–59, women: 0.21 million 60–64, women: 0.2 million 65–69, women: 0.16 million 70–74, women: 0.12 million 75–79, women: 0.09 million 80–84, women: 0.06 million 85–89, women: 0.03 million 90–94, women: 0.01 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.37 million 5–9, men: 0.38 million 10–14, men: 0.39 million 15–19, men: 0.39 million 20–24, men: 0.38 million 25–29, men: 0.35 million 30–34, men: 0.34 million 35–39, men: 0.33 million 40–44, men: 0.34 million 45–49, men: 0.31 million 50–54, men: 0.26 million 55–59, men: 0.21 million 60–64, men: 0.19 million 65–69, men: 0.18 million 70–74, men: 0.14 million 75–79, men: 0.09 million 80–84, men: 0.05 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: 0.35 million 5–9, women: 0.36 million 10–14, women: 0.37 million 15–19, women: 0.37 million 20–24, women: 0.36 million 25–29, women: 0.34 million 30–34, women: 0.32 million 35–39, women: 0.32 million 40–44, women: 0.32 million 45–49, women: 0.3 million 50–54, women: 0.26 million 55–59, women: 0.22 million 60–64, women: 0.2 million 65–69, women: 0.19 million 70–74, women: 0.15 million 75–79, women: 0.11 million 80–84, women: 0.07 million 85–89, women: 0.04 million 90–94, women: 0.02 million 95–99, women: 0 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.37 million 5–9, men: 0.37 million 10–14, men: 0.38 million 15–19, men: 0.39 million 20–24, men: 0.39 million 25–29, men: 0.37 million 30–34, men: 0.35 million 35–39, men: 0.33 million 40–44, men: 0.33 million 45–49, men: 0.34 million 50–54, men: 0.31 million 55–59, men: 0.25 million 60–64, men: 0.21 million 65–69, men: 0.18 million 70–74, men: 0.16 million 75–79, men: 0.12 million 80–84, men: 0.07 million 85–89, men: 0.03 million 90–94, men: 0.01 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.35 million 5–9, women: 0.35 million 10–14, women: 0.36 million 15–19, women: 0.37 million 20–24, women: 0.37 million 25–29, women: 0.36 million 30–34, women: 0.33 million 35–39, women: 0.32 million 40–44, women: 0.32 million 45–49, women: 0.32 million 50–54, women: 0.3 million 55–59, women: 0.26 million 60–64, women: 0.22 million 65–69, women: 0.2 million 70–74, women: 0.18 million 75–79, women: 0.14 million 80–84, women: 0.09 million 85–89, women: 0.05 million 90–94, women: 0.02 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.37 million 5–9, men: 0.37 million 10–14, men: 0.37 million 15–19, men: 0.37 million 20–24, men: 0.38 million 25–29, men: 0.38 million 30–34, men: 0.37 million 35–39, men: 0.35 million 40–44, men: 0.33 million 45–49, men: 0.33 million 50–54, men: 0.33 million 55–59, men: 0.3 million 60–64, men: 0.25 million 65–69, men: 0.2 million 70–74, men: 0.17 million 75–79, men: 0.14 million 80–84, men: 0.1 million 85–89, men: 0.05 million 90–94, men: 0.02 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.35 million 5–9, women: 0.35 million 10–14, women: 0.35 million 15–19, women: 0.36 million 20–24, women: 0.36 million 25–29, women: 0.36 million 30–34, women: 0.35 million 35–39, women: 0.33 million 40–44, women: 0.32 million 45–49, women: 0.32 million 50–54, women: 0.32 million 55–59, women: 0.3 million 60–64, women: 0.26 million 65–69, women: 0.21 million 70–74, women: 0.19 million 75–79, women: 0.17 million 80–84, women: 0.12 million 85–89, women: 0.07 million 90–94, women: 0.03 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.36 million 5–9, men: 0.37 million 10–14, men: 0.37 million 15–19, men: 0.37 million 20–24, men: 0.37 million 25–29, men: 0.37 million 30–34, men: 0.38 million 35–39, men: 0.37 million 40–44, men: 0.35 million 45–49, men: 0.33 million 50–54, men: 0.33 million 55–59, men: 0.33 million 60–64, men: 0.3 million 65–69, men: 0.24 million 70–74, men: 0.19 million 75–79, men: 0.15 million 80–84, men: 0.12 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: 0.34 million 5–9, women: 0.35 million 10–14, women: 0.35 million 15–19, women: 0.35 million 20–24, women: 0.35 million 25–29, women: 0.36 million 30–34, women: 0.36 million 35–39, women: 0.35 million 40–44, women: 0.33 million 45–49, women: 0.32 million 50–54, women: 0.31 million 55–59, women: 0.32 million 60–64, women: 0.29 million 65–69, women: 0.25 million 70–74, women: 0.21 million 75–79, women: 0.17 million 80–84, women: 0.14 million 85–89, women: 0.09 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 0m 0 0m Men Women 0–4, men: 0.35 million 5–9, men: 0.36 million 10–14, men: 0.36 million 15–19, men: 0.36 million 20–24, men: 0.36 million 25–29, men: 0.36 million 30–34, men: 0.37 million 35–39, men: 0.37 million 40–44, men: 0.36 million 45–49, men: 0.34 million 50–54, men: 0.33 million 55–59, men: 0.32 million 60–64, men: 0.32 million 65–69, men: 0.29 million 70–74, men: 0.22 million 75–79, men: 0.17 million 80–84, men: 0.12 million 85–89, men: 0.08 million 90–94, men: 0.03 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.33 million 5–9, women: 0.34 million 10–14, women: 0.35 million 15–19, women: 0.35 million 20–24, women: 0.34 million 25–29, women: 0.34 million 30–34, women: 0.35 million 35–39, women: 0.36 million 40–44, women: 0.35 million 45–49, women: 0.33 million 50–54, women: 0.31 million 55–59, women: 0.31 million 60–64, women: 0.31 million 65–69, women: 0.29 million 70–74, women: 0.24 million 75–79, women: 0.19 million 80–84, women: 0.15 million 85–89, women: 0.11 million 90–94, women: 0.05 million 95–99, women: 0.02 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.34 million 5–9, men: 0.35 million 10–14, men: 0.36 million 15–19, men: 0.36 million 20–24, men: 0.36 million 25–29, men: 0.35 million 30–34, men: 0.36 million 35–39, men: 0.37 million 40–44, men: 0.37 million 45–49, men: 0.36 million 50–54, men: 0.34 million 55–59, men: 0.32 million 60–64, men: 0.32 million 65–69, men: 0.31 million 70–74, men: 0.27 million 75–79, men: 0.2 million 80–84, men: 0.14 million 85–89, men: 0.09 million 90–94, men: 0.04 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.32 million 5–9, women: 0.33 million 10–14, women: 0.34 million 15–19, women: 0.34 million 20–24, women: 0.34 million 25–29, women: 0.34 million 30–34, women: 0.34 million 35–39, women: 0.35 million 40–44, women: 0.36 million 45–49, women: 0.35 million 50–54, women: 0.33 million 55–59, women: 0.31 million 60–64, women: 0.31 million 65–69, women: 0.31 million 70–74, women: 0.28 million 75–79, women: 0.22 million 80–84, women: 0.16 million 85–89, women: 0.11 million 90–94, women: 0.06 million 95–99, women: 0.02 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.32 million 5–9, men: 0.33 million 10–14, men: 0.34 million 15–19, men: 0.35 million 20–24, men: 0.35 million 25–29, men: 0.35 million 30–34, men: 0.35 million 35–39, men: 0.36 million 40–44, men: 0.37 million 45–49, men: 0.37 million 50–54, men: 0.36 million 55–59, men: 0.34 million 60–64, men: 0.32 million 65–69, men: 0.31 million 70–74, men: 0.29 million 75–79, men: 0.25 million 80–84, men: 0.17 million 85–89, men: 0.1 million 90–94, men: 0.05 million 95–99, men: 0.02 million 100+, men: 0 million 0–4, women: 0.31 million 5–9, women: 0.32 million 10–14, women: 0.33 million 15–19, women: 0.34 million 20–24, women: 0.34 million 25–29, women: 0.33 million 30–34, women: 0.33 million 35–39, women: 0.34 million 40–44, women: 0.35 million 45–49, women: 0.35 million 50–54, women: 0.34 million 55–59, women: 0.32 million 60–64, women: 0.31 million 65–69, women: 0.3 million 70–74, women: 0.29 million 75–79, women: 0.26 million 80–84, women: 0.19 million 85–89, women: 0.13 million 90–94, women: 0.07 million 95–99, women: 0.03 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.32 million 5–9, men: 0.32 million 10–14, men: 0.33 million 15–19, men: 0.34 million 20–24, men: 0.35 million 25–29, men: 0.35 million 30–34, men: 0.35 million 35–39, men: 0.35 million 40–44, men: 0.36 million 45–49, men: 0.36 million 50–54, men: 0.37 million 55–59, men: 0.36 million 60–64, men: 0.33 million 65–69, men: 0.31 million 70–74, men: 0.29 million 75–79, men: 0.27 million 80–84, men: 0.21 million 85–89, men: 0.13 million 90–94, men: 0.06 million 95–99, men: 0.02 million 100+, men: 0 million 0–4, women: 0.3 million 5–9, women: 0.31 million 10–14, women: 0.31 million 15–19, women: 0.33 million 20–24, women: 0.33 million 25–29, women: 0.33 million 30–34, women: 0.33 million 35–39, women: 0.33 million 40–44, women: 0.34 million 45–49, women: 0.35 million 50–54, women: 0.35 million 55–59, women: 0.34 million 60–64, women: 0.32 million 65–69, women: 0.3 million 70–74, women: 0.29 million 75–79, women: 0.28 million 80–84, women: 0.23 million 85–89, women: 0.15 million 90–94, women: 0.08 million 95–99, women: 0.03 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.31 million 5–9, men: 0.31 million 10–14, men: 0.32 million 15–19, men: 0.33 million 20–24, men: 0.34 million 25–29, men: 0.34 million 30–34, men: 0.35 million 35–39, men: 0.35 million 40–44, men: 0.35 million 45–49, men: 0.35 million 50–54, men: 0.36 million 55–59, men: 0.36 million 60–64, men: 0.35 million 65–69, men: 0.32 million 70–74, men: 0.3 million 75–79, men: 0.27 million 80–84, men: 0.23 million 85–89, men: 0.16 million 90–94, men: 0.07 million 95–99, men: 0.02 million 100+, men: 0 million 0–4, women: 0.29 million 5–9, women: 0.3 million 10–14, women: 0.3 million 15–19, women: 0.31 million 20–24, women: 0.32 million 25–29, women: 0.33 million 30–34, women: 0.33 million 35–39, women: 0.33 million 40–44, women: 0.33 million 45–49, women: 0.34 million 50–54, women: 0.35 million 55–59, women: 0.35 million 60–64, women: 0.34 million 65–69, women: 0.31 million 70–74, women: 0.29 million 75–79, women: 0.27 million 80–84, women: 0.25 million 85–89, women: 0.18 million 90–94, women: 0.1 million 95–99, women: 0.04 million 100+, women: 0.01 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Millions of people in each five-year age group, men left and women right. Years after 2023 are UN projections (medium variant). Source: UN World Population Prospects · 1950–2100 · Updated 13 Nov 2026 ·
Births per woman 3.31 2023 · 50th of 237 · UN WPP 2024
Median age 19.8 2023 · 198th of 237 · UN WPP 2024
Aged 65 and over 3.9% 2025, Projection, medium variant · UN WPP 2024
Palestine emitted 4.8 Mt of CO2 from fossil fuels and cement in 2024.
Palestine’s CO2 emissions, million tonnes, 1990–2024 0 Mt 1 Mt 2 Mt 3 Mt 4 Mt 5 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 5Mt 2024 · 138th of 214 · Global Carbon Budget
CO2 per person 0.9t 2024 · 162nd of 213 · Global Carbon Budget
CO2 since 1750 78Mt 2024 · 151st of 214 · Global Carbon Budget
Shown only where a source covers Palestine.
Refugees 65,049 from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 116 entries on the US, EU and UK lists give it as an address or nationality: US 68, EU 13 and UK 35
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$81million committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents 19 publicly known incidents affecting Palestine, 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
43 measures on this site have a recent figure for Palestine.
Measure Value Year Rank Source GDP $17 bn 2025 136th of 186 World Bank GDP per person $3,171 2025 136th of 186 World Bank Economic growth 4.3% 2025 64th of 186 World Bank Inflation 9.8% 2025 17th of 169 World Bank Government debt 56% 2025 87th of 191 IMF World Economic Outlook, October 2026 Government budget balance −0.6% 2025 52nd of 195 IMF World Economic Outlook, October 2026 Current account balance −15.8% 2025 181st of 194 IMF World Economic Outlook, October 2026 Reserves, including gold $1.3 bn 2024 130th of 164 World Bank Trade 75% 2024 99th of 172 World Bank Foreign investment in $330 m 2025 129th of 200 World Bank Remittances received 4.6% 2024 51st of 162 World Bank Population 5.4 m 2025 123rd of 216 World Bank Population with UN projections 5.4 m 2023 121st of 237 UN WPP 2024 Births per woman 3.31 2023 50th of 237 UN WPP 2024 Median age 19.8 2023 198th of 237 UN WPP 2024 Life expectancy 65.2 2023 209th of 237 UN WPP 2024 Refugees from the country 65,049 2025 46th of 206 UNHCR Crude oil production 0 kb/d 2025 100th of 214 EIA Oil consumption 34 kb/d 2024 123rd of 212 EIA Natural gas production 2024 97th of 213 EIA Natural gas consumption 0.0 bcm 2024 126th of 213 EIA Electricity generated 1 TWh 2024 156th of 193 Ember Low-carbon electricity 39% 2024 92nd of 193 Ember Electricity from coal 0% 2024 82nd of 193 Ember Electricity from wind and solar 39% 2024 12th of 193 Ember Wheat production 0.0 Mt 2022 89th of 124 FAOSTAT Wheat imports 0.0 Mt 2023 169th of 187 FAOSTAT Maize imports 0.0 Mt 2024 169th of 196 FAOSTAT Rice imports 0.0 Mt 2024 144th of 197 FAOSTAT Soybean imports 0.0 Mt 2024 154th of 179 FAOSTAT Potash fertiliser use 0.00 Mt 2024 152nd of 199 FAOSTAT Phosphate fertiliser use 0.00 Mt 2024 157th of 199 FAOSTAT CO2 emissions 5 Mt 2024 138th of 214 Global Carbon Budget CO2 per person 0.9 t 2024 162nd of 213 Global Carbon Budget CO2 emitted since 1750 78 Mt 2024 151st of 214 Global Carbon Budget Water from abroad 3% 2023 108th of 193 FAO AQUASTAT Deaths in organised violence 14,526 2025 3rd of 61 UCDP Arms imports 2 TIV m 2023 117th of 125 SIPRI People using the internet 87% 2023 67th of 181 World Bank ICT service exports $91 m 2024 105th of 162 World Bank ICT service exports, share of service exports 18% 2024 27th of 162 World Bank Sanctions list entries (US, EU, UK) 116 2026 30th of 181 US CSL Chinese loans and grants committed $5 m 2021 98th of 122 AidData, Global Chinese Development Finance Dataset 3.0
Coverage notes. World Bank figures are for 'West Bank and Gaza', as are the IMF's; AidData's are for 'West Bank and Gaza Strip' and EIA's for 'Palestinian Territories' (EuRepoC cyber incidents).
Sources for this page World Bank Indicators GDP, GDP per person, Economic growth, Inflation, Reserves, Trade, … 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 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 imports, Rice imports, Soybean imports, Potash use, … Our World in Data CO2 CO2 emissions, CO2 per person, CO2 since 1750 FAO AQUASTAT Water from abroad UCDP Georeferenced Event Dataset Conflict deaths SIPRI Arms Transfers Database Arms imports, Dependencies at a glance US Consolidated Screening List Sanctions list entries, Sanctions AidData Chinese development finance Chinese loans and grants EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents