1 Dependencies at a glance Laos imports all of the oil it uses; it exports maize.
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 – Not reported by this source – Maize Exports 64% of what it producesFAOSTAT, use 2024 · FAOSTAT, exports 2023 Thailand (buyers)Rice Imports 1% of the rice it usesFAOSTAT, use 2024 · FAOSTAT, imports 2023 Thailand , Vietnam , Myanmar Soybeans Imports 13% of the soybeans it uses FAOSTAT, use 2024 · FAOSTAT, imports 2023 United States , China , Vietnam Potash Exports 99% of what it produces FAOSTAT, supply 2024 · UN Comtrade, exports 2025 China , Thailand , Indonesia (buyers)Phosphate Imports all of its phosphate supply FAOSTAT, supply 2024 · UN Comtrade, imports 2025 No partner data from the source Arms – Supplier concentration only Main supplier: Russia, 77% of importsSIPRI, 2021–2025 Russia , China 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 Not reported by this source
Maize Exports 64% of what it produces
Main partners: Thailand (buyers)
FAOSTAT, use 2024 · FAOSTAT, exports 2023
Rice Imports 1% of the rice it uses
Main partners: Thailand, Vietnam, Myanmar
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Soybeans Imports 13% of the soybeans it uses
Main partners: United States, China, Vietnam
FAOSTAT, use 2024 · FAOSTAT, imports 2023
Potash Exports 99% of what it produces
Main partners: China, Thailand, Indonesia (buyers)
FAOSTAT, supply 2024 · UN Comtrade, exports 2025
Phosphate Imports all of its phosphate supply
Main partners: No partner data from the source
FAOSTAT, supply 2024 · UN Comtrade, imports 2025
ArmsSupplier concentration only Main supplier: Russia, 77% of imports
Main partners: Russia, China
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 2025
Laos’ economy produced $18 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 4.5% 2025 · 55th of 186 · World Bank
Inflation 7.7% 2025 · 27th of 169 · World Bank
Unemployment 1.2% 2025 · 174th of 181 · World Bank
Reserves US$2.21billion 2024 · 118th of 164 · World Bank
Foreign investment in US$1.40billion 2025 · 86th of 200 · World Bank
Laos had 7.9 m people in 2025.
Population, 1950–2100 0 5.0 m 10 m 15 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Laos’ population by age Men Women 0–4, men: 0.13 million 5–9, men: 0.11 million 10–14, men: 0.09 million 15–19, men: 0.08 million 20–24, men: 0.08 million 25–29, men: 0.07 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: 0.14 million 5–9, women: 0.11 million 10–14, women: 0.1 million 15–19, women: 0.08 million 20–24, women: 0.08 million 25–29, women: 0.07 million 30–34, women: 0.06 million 35–39, women: 0.05 million 40–44, women: 0.04 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: 0.01 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: 0.16 million 5–9, men: 0.12 million 10–14, men: 0.1 million 15–19, men: 0.09 million 20–24, men: 0.08 million 25–29, men: 0.07 million 30–34, men: 0.06 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: 0.16 million 5–9, women: 0.13 million 10–14, women: 0.11 million 15–19, women: 0.09 million 20–24, women: 0.08 million 25–29, women: 0.07 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: 0.03 million 55–59, women: 0.03 million 60–64, women: 0.02 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: 0.18 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: 0.08 million 30–34, men: 0.07 million 35–39, men: 0.06 million 40–44, men: 0.05 million 45–49, men: 0.04 million 50–54, men: 0.04 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: 0.18 million 5–9, women: 0.14 million 10–14, women: 0.12 million 15–19, women: 0.11 million 20–24, women: 0.09 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: 0.05 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 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: 0.2 million 5–9, men: 0.16 million 10–14, men: 0.14 million 15–19, men: 0.12 million 20–24, men: 0.1 million 25–29, men: 0.08 million 30–34, men: 0.07 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: 0.2 million 5–9, women: 0.16 million 10–14, women: 0.14 million 15–19, women: 0.12 million 20–24, women: 0.1 million 25–29, women: 0.09 million 30–34, women: 0.07 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: 0.03 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: 0.23 million 5–9, men: 0.18 million 10–14, men: 0.16 million 15–19, men: 0.14 million 20–24, men: 0.11 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: 0.04 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: 0.22 million 5–9, women: 0.18 million 10–14, women: 0.16 million 15–19, women: 0.14 million 20–24, women: 0.12 million 25–29, women: 0.1 million 30–34, women: 0.08 million 35–39, women: 0.07 million 40–44, women: 0.06 million 45–49, women: 0.06 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: 0.01 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: 0.26 million 5–9, men: 0.21 million 10–14, men: 0.18 million 15–19, men: 0.16 million 20–24, men: 0.13 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: 0.04 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: 0.25 million 5–9, women: 0.2 million 10–14, women: 0.18 million 15–19, women: 0.15 million 20–24, women: 0.13 million 25–29, women: 0.11 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: 0.05 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 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: 0.24 million 10–14, men: 0.2 million 15–19, men: 0.17 million 20–24, men: 0.14 million 25–29, men: 0.12 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: 0.04 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: 0.28 million 5–9, women: 0.23 million 10–14, women: 0.2 million 15–19, women: 0.17 million 20–24, women: 0.14 million 25–29, women: 0.12 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: 0.05 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 0m 0 0m Men Women 0–4, men: 0.33 million 5–9, men: 0.27 million 10–14, men: 0.24 million 15–19, men: 0.2 million 20–24, men: 0.17 million 25–29, men: 0.14 million 30–34, men: 0.11 million 35–39, men: 0.09 million 40–44, men: 0.07 million 45–49, men: 0.06 million 50–54, men: 0.05 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 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.32 million 5–9, women: 0.26 million 10–14, women: 0.23 million 15–19, women: 0.2 million 20–24, women: 0.16 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: 0.06 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: 0.38 million 5–9, men: 0.31 million 10–14, men: 0.27 million 15–19, men: 0.23 million 20–24, men: 0.2 million 25–29, men: 0.16 million 30–34, men: 0.13 million 35–39, men: 0.11 million 40–44, men: 0.08 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: 0.03 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: 0.37 million 5–9, women: 0.3 million 10–14, women: 0.26 million 15–19, women: 0.23 million 20–24, women: 0.19 million 25–29, women: 0.16 million 30–34, women: 0.13 million 35–39, women: 0.11 million 40–44, women: 0.09 million 45–49, women: 0.08 million 50–54, women: 0.06 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: 0.43 million 5–9, men: 0.36 million 10–14, men: 0.31 million 15–19, men: 0.26 million 20–24, men: 0.23 million 25–29, men: 0.19 million 30–34, men: 0.16 million 35–39, men: 0.13 million 40–44, men: 0.1 million 45–49, men: 0.08 million 50–54, men: 0.06 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: 0.41 million 5–9, women: 0.35 million 10–14, women: 0.3 million 15–19, women: 0.25 million 20–24, women: 0.22 million 25–29, women: 0.18 million 30–34, women: 0.15 million 35–39, women: 0.12 million 40–44, women: 0.1 million 45–49, women: 0.09 million 50–54, women: 0.07 million 55–59, women: 0.06 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: 0.42 million 5–9, men: 0.41 million 10–14, men: 0.36 million 15–19, men: 0.3 million 20–24, men: 0.25 million 25–29, men: 0.21 million 30–34, men: 0.17 million 35–39, men: 0.14 million 40–44, men: 0.12 million 45–49, men: 0.1 million 50–54, men: 0.07 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: 0.41 million 5–9, women: 0.4 million 10–14, women: 0.35 million 15–19, women: 0.29 million 20–24, women: 0.24 million 25–29, women: 0.2 million 30–34, women: 0.17 million 35–39, women: 0.14 million 40–44, women: 0.11 million 45–49, women: 0.1 million 50–54, women: 0.08 million 55–59, women: 0.06 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: 0.41 million 5–9, men: 0.41 million 10–14, men: 0.4 million 15–19, men: 0.35 million 20–24, men: 0.28 million 25–29, men: 0.23 million 30–34, men: 0.19 million 35–39, men: 0.16 million 40–44, men: 0.13 million 45–49, men: 0.11 million 50–54, men: 0.09 million 55–59, men: 0.06 million 60–64, men: 0.05 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: 0.39 million 5–9, women: 0.4 million 10–14, women: 0.39 million 15–19, women: 0.34 million 20–24, women: 0.27 million 25–29, women: 0.22 million 30–34, women: 0.18 million 35–39, women: 0.15 million 40–44, women: 0.13 million 45–49, women: 0.11 million 50–54, women: 0.09 million 55–59, women: 0.07 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 0m 0 0m Men Women 0–4, men: 0.4 million 5–9, men: 0.38 million 10–14, men: 0.39 million 15–19, men: 0.37 million 20–24, men: 0.33 million 25–29, men: 0.27 million 30–34, men: 0.22 million 35–39, men: 0.18 million 40–44, men: 0.16 million 45–49, men: 0.13 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: 0.02 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: 0.38 million 5–9, women: 0.37 million 10–14, women: 0.38 million 15–19, women: 0.37 million 20–24, women: 0.32 million 25–29, women: 0.26 million 30–34, women: 0.21 million 35–39, women: 0.18 million 40–44, women: 0.15 million 45–49, women: 0.13 million 50–54, women: 0.1 million 55–59, women: 0.08 million 60–64, women: 0.06 million 65–69, women: 0.05 million 70–74, women: 0.04 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: 0.4 million 5–9, men: 0.38 million 10–14, men: 0.37 million 15–19, men: 0.37 million 20–24, men: 0.34 million 25–29, men: 0.31 million 30–34, men: 0.27 million 35–39, men: 0.22 million 40–44, men: 0.18 million 45–49, men: 0.15 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: 0.01 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: 0.36 million 15–19, women: 0.36 million 20–24, women: 0.34 million 25–29, women: 0.31 million 30–34, women: 0.26 million 35–39, women: 0.21 million 40–44, women: 0.18 million 45–49, women: 0.15 million 50–54, women: 0.13 million 55–59, women: 0.1 million 60–64, women: 0.08 million 65–69, women: 0.05 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: 0.41 million 5–9, men: 0.39 million 10–14, men: 0.38 million 15–19, men: 0.37 million 20–24, men: 0.36 million 25–29, men: 0.34 million 30–34, men: 0.31 million 35–39, men: 0.26 million 40–44, men: 0.21 million 45–49, men: 0.17 million 50–54, men: 0.14 million 55–59, men: 0.12 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: 0.39 million 5–9, women: 0.38 million 10–14, women: 0.37 million 15–19, women: 0.36 million 20–24, women: 0.35 million 25–29, women: 0.33 million 30–34, women: 0.3 million 35–39, women: 0.25 million 40–44, women: 0.21 million 45–49, women: 0.17 million 50–54, women: 0.15 million 55–59, women: 0.13 million 60–64, women: 0.1 million 65–69, women: 0.07 million 70–74, women: 0.05 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: 0.4 million 5–9, men: 0.41 million 10–14, men: 0.39 million 15–19, men: 0.38 million 20–24, men: 0.36 million 25–29, men: 0.35 million 30–34, men: 0.33 million 35–39, men: 0.3 million 40–44, men: 0.25 million 45–49, men: 0.2 million 50–54, men: 0.17 million 55–59, men: 0.13 million 60–64, men: 0.11 million 65–69, men: 0.08 million 70–74, men: 0.05 million 75–79, men: 0.03 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20–24, women: 0.24 million 25–29, women: 0.25 million 30–34, women: 0.26 million 35–39, women: 0.27 million 40–44, women: 0.28 million 45–49, women: 0.29 million 50–54, women: 0.3 million 55–59, women: 0.3 million 60–64, women: 0.3 million 65–69, women: 0.3 million 70–74, women: 0.29 million 75–79, women: 0.26 million 80–84, women: 0.21 million 85–89, women: 0.13 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 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 2.42 2023 · 85th of 237 · UN WPP 2024
Median age 24.3 2023 · 170th of 237 · UN WPP 2024
Aged 65 and over 4.8% 2025, Projection, medium variant · UN WPP 2024
Satellites owned in Laos numbered 1 at the end of 2026.
Satellites in orbit 1 2026 · 64th of 81 · Orbital data from CelesTrak Laos emitted 24.4 Mt of CO2 from fossil fuels and cement in 2024.
Laos’ CO2 emissions, million tonnes, 1990–2024 0 Mt 5 Mt 10 Mt 15 Mt 20 Mt 25 Mt 1990 1995 2000 2005 2010 2015 2024 Source: Our World in Data CO2 · 1990–2024 · Updated 13 Nov 2026
CO2 emissions 24Mt 2024 · 82nd of 214 · Global Carbon Budget
CO2 per person 3.1t 2024 · 108th of 213 · Global Carbon Budget
CO2 since 1750 243Mt 2024 · 123rd of 214 · Global Carbon Budget
Shown only where a source covers Laos.
Refugees 6,955 from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 9 entries on the US, EU and UK lists give it as an address or nationality: US 5 and UK 4
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$21.6billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents 5 publicly known incidents affecting Laos, 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
47 measures on this site have a recent figure for Laos.
Measure Value Year Rank Source GDP $18 bn 2025 134th of 186 World Bank GDP per person $2,325 2025 150th of 186 World Bank Economic growth 4.5% 2025 55th of 186 World Bank Inflation 7.7% 2025 27th of 169 World Bank Government debt 89% 2025 32nd of 191 IMF World Economic Outlook, October 2026 Government budget balance 1.9% 2025 24th of 195 IMF World Economic Outlook, October 2026 Current account balance 12.0% 2025 20th of 194 IMF World Economic Outlook, October 2026 Unemployment 1.2% 2025 174th of 181 World Bank Reserves, including gold $2.2 bn 2024 118th of 164 World Bank Foreign investment in $1.4 bn 2025 86th of 200 World Bank Remittances received 2.2% 2024 83rd of 162 World Bank Population 7.9 m 2025 102nd of 216 World Bank Population with UN projections 7.7 m 2023 103rd of 237 UN WPP 2024 Births per woman 2.42 2023 85th of 237 UN WPP 2024 Median age 24.3 2023 170th of 237 UN WPP 2024 Life expectancy 69.0 2023 179th of 237 UN WPP 2024 Refugees from the country 6,955 2025 91st of 206 UNHCR Crude oil production 0 kb/d 2025 100th of 214 EIA Oil consumption 24 kb/d 2024 138th of 212 EIA Natural gas production 2024 97th of 213 EIA Natural gas consumption 0.0 bcm 2024 126th of 213 EIA Electricity generated 52 TWh 2024 54th of 193 Ember Low-carbon electricity 77% 2024 42nd of 193 Ember Electricity from coal 23% 2024 32nd of 193 Ember Electricity from wind and solar 0.2% 2024 173rd of 193 Ember Wheat imports 0.0 Mt 2023 166th of 187 FAOSTAT Maize production 0.5 Mt 2024 77th of 169 FAOSTAT Maize imports 0.0 Mt 2024 156th of 196 FAOSTAT Rice production 2.5 Mt 2024 21st of 135 FAOSTAT Rice imports 0.1 Mt 2024 94th of 197 FAOSTAT Soybean production 0.0 Mt 2024 68th of 108 FAOSTAT Soybean imports 0.0 Mt 2024 103rd of 179 FAOSTAT Potash fertiliser use 0.02 Mt 2024 77th of 199 FAOSTAT Phosphate fertiliser use 0.02 Mt 2024 88th of 199 FAOSTAT CO2 emissions 24 Mt 2024 82nd of 214 Global Carbon Budget CO2 per person 3.1 t 2024 108th of 213 Global Carbon Budget CO2 emitted since 1750 243 Mt 2024 123rd of 214 Global Carbon Budget Net CO2 imports through trade −39% 2023 119th of 120 Global Carbon Budget Water stress 0.7 2023 119th of 164 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water from abroad 43% 2023 45th of 193 FAO AQUASTAT Arms imports 7 TIV m 2024 98th of 117 SIPRI Satellites in orbit 1 2026 64th of 81 Orbital data from CelesTrak People using the internet 66% 2024 128th of 182 World Bank ICT service exports $61 m 2024 112th of 162 World Bank ICT service exports, share of service exports 3.3% 2024 108th of 162 World Bank Sanctions list entries (US, EU, UK) 9 2026 114th of 181 US CSL Chinese loans and grants committed $422 m 2021 23rd 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 U.S. Energy Information Administration Oil output, Oil use, Gas output, Gas use, Dependencies at a glance Ember electricity data Electricity, Low-carbon electricity, Electricity from coal, Electricity from wind and solar FAOSTAT Wheat imports, Maize production, Maize imports, Rice production, Rice imports, Soybean production, … Our World in Data CO2 CO2 emissions, CO2 per person, CO2 since 1750, 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 SIPRI Arms Transfers Database Arms imports, Dependencies at a glance CelesTrak SATCATSatellites in orbit US Consolidated Screening List Sanctions list entries, Sanctions AidData Chinese development finance Chinese loans and grants EU financial sanctions list Sanctions UK Sanctions List Sanctions EuRepoC cyber incidents Cyber incidents