1 Dependencies at a glance Eritrea 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 61% of the wheat it uses FAOSTAT, 2023 No partner data from the source Maize Imports 0.1% of the maize it usesFAOSTAT, 2023 No partner data from the source Rice – Not reported by this source – Soybeans – Not reported by this source – Potash – Uses no potash, by this source FAOSTAT, 2024 No partner data from the source Phosphate – Uses no phosphate, by this source FAOSTAT, 2024 No partner data from the source Arms – Supplier concentration only No major arms imports recorded, 2021–2025SIPRI, 2021–2025 – Chips – Supplier concentration only Not reported by this sourceUN Comtrade, 2025 –
Dependence is net imports: imports minus exports, as a share of what the country uses; for potash and phosphate, of its supply (production plus net imports). Arms and chips show supplier concentration only: the main supplier’s share of imports (arms: five-year totals of deliveries in SIPRI’s trend-indicator value, SIPRI’s measure of military capability delivered, not price or number of weapons).
Oil Imports 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 61% of the wheat it uses
Main partners: No partner data from the source
FAOSTAT, 2023
Maize Imports 0.1% of the maize it uses
Main partners: No partner data from the source
FAOSTAT, 2023
Rice Not reported by this source
Soybeans Not reported by this source
Potash Uses no potash, by this source
Main partners: No partner data from the source
FAOSTAT, 2024
Phosphate Uses no phosphate, by this source
Main partners: No partner data from the source
FAOSTAT, 2024
ArmsSupplier concentration only No major arms imports recorded, 2021–2025
SIPRI, 2021–2025
ChipsSupplier concentration only Not reported by this source
UN Comtrade, 2025
GDP, 2000–2011 $0 $500 m $1.0 bn $1.5 bn $2.0 bn $2.5 bn 2000 2002 2004 2005 2006 2008 2011 Source: World Bank Indicators · 2000–2011 · Updated 13 Nov 2026
Unemployment 6.0% 2025 · 72nd of 181 · World Bank
Foreign investment in US$82million 2025 · 151st of 200 · World Bank
Eritrea had 3.6 m people in 2025.
Population, 1950–2100 0 2.5 m 5.0 m 7.5 m 10 m 13 m 1950 1970 1990 2000 2010 2030 2050 2070 2100 Projection Source: UN World Population Prospects · Updated 13 Nov 2026 ·
Eritrea’s population by age Men Women 0–4, men: 0.07 million 5–9, men: 0.06 million 10–14, men: 0.05 million 15–19, men: 0.04 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: 0.01 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: 0.07 million 5–9, women: 0.06 million 10–14, women: 0.05 million 15–19, women: 0.04 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: 0.01 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 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: 0.07 million 5–9, men: 0.06 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: 0.03 million 35–39, men: 0.02 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: 0.07 million 5–9, women: 0.06 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 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: 0.08 million 5–9, men: 0.06 million 10–14, men: 0.06 million 15–19, men: 0.05 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: 0.02 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: 0.08 million 5–9, women: 0.06 million 10–14, women: 0.06 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: 0.03 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: 0.1 million 5–9, men: 0.07 million 10–14, men: 0.06 million 15–19, men: 0.06 million 20–24, men: 0.05 million 25–29, men: 0.04 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: 0.02 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: 0.1 million 5–9, women: 0.07 million 10–14, women: 0.06 million 15–19, women: 0.06 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: 0.03 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: 0.11 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: 0.05 million 30–34, men: 0.04 million 35–39, men: 0.04 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: 0.11 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: 0.05 million 30–34, women: 0.04 million 35–39, women: 0.04 million 40–44, women: 0.03 million 45–49, women: 0.02 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: 0.13 million 5–9, men: 0.1 million 10–14, men: 0.08 million 15–19, men: 0.07 million 20–24, men: 0.05 million 25–29, men: 0.05 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: 0.02 million 60–64, men: 0.01 million 65–69, men: 0.01 million 70–74, men: 0 million 75–79, men: 0 million 80–84, men: 0 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 100+, men: 0 million 0–4, women: 0.13 million 5–9, women: 0.1 million 10–14, women: 0.08 million 15–19, women: 0.07 million 20–24, women: 0.06 million 25–29, women: 0.05 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: 0.15 million 5–9, men: 0.11 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: 0.05 million 35–39, men: 0.05 million 40–44, men: 0.04 million 45–49, men: 0.03 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: 0.15 million 5–9, women: 0.11 million 10–14, women: 0.1 million 15–19, women: 0.08 million 20–24, women: 0.07 million 25–29, women: 0.06 million 30–34, women: 0.05 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: 0.02 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: 0.16 million 5–9, men: 0.13 million 10–14, men: 0.11 million 15–19, men: 0.09 million 20–24, men: 0.08 million 25–29, men: 0.06 million 30–34, men: 0.05 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: 0.02 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: 0.1 million 20–24, women: 0.08 million 25–29, women: 0.07 million 30–34, women: 0.05 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: 0.02 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: 0.14 million 10–14, men: 0.13 million 15–19, men: 0.1 million 20–24, men: 0.09 million 25–29, men: 0.07 million 30–34, men: 0.06 million 35–39, men: 0.04 million 40–44, men: 0.04 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: 0.18 million 5–9, women: 0.14 million 10–14, women: 0.13 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: 0.05 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: 0.11 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: 0.04 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: 0.17 million 5–9, women: 0.15 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: 0.05 million 40–44, women: 0.04 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: 0.01 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: 0.2 million 5–9, men: 0.17 million 10–14, men: 0.14 million 15–19, men: 0.11 million 20–24, men: 0.09 million 25–29, men: 0.08 million 30–34, men: 0.07 million 35–39, men: 0.05 million 40–44, men: 0.04 million 45–49, men: 0.03 million 50–54, men: 0.03 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: 0.2 million 5–9, women: 0.17 million 10–14, women: 0.14 million 15–19, women: 0.11 million 20–24, women: 0.1 million 25–29, women: 0.08 million 30–34, women: 0.07 million 35–39, women: 0.06 million 40–44, women: 0.05 million 45–49, women: 0.04 million 50–54, women: 0.03 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: 0.22 million 5–9, men: 0.19 million 10–14, men: 0.16 million 15–19, men: 0.14 million 20–24, men: 0.12 million 25–29, men: 0.1 million 30–34, men: 0.08 million 35–39, men: 0.07 million 40–44, men: 0.05 million 45–49, men: 0.04 million 50–54, men: 0.03 million 55–59, men: 0.03 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: 0.21 million 5–9, women: 0.19 million 10–14, women: 0.16 million 15–19, women: 0.14 million 20–24, women: 0.12 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: 0.03 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: 0.21 million 10–14, men: 0.19 million 15–19, men: 0.16 million 20–24, men: 0.13 million 25–29, men: 0.1 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: 0.03 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: 0.23 million 5–9, women: 0.21 million 10–14, women: 0.19 million 15–19, women: 0.16 million 20–24, women: 0.13 million 25–29, women: 0.11 million 30–34, women: 0.1 million 35–39, women: 0.08 million 40–44, women: 0.07 million 45–49, women: 0.06 million 50–54, women: 0.04 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: 0.23 million 5–9, men: 0.22 million 10–14, men: 0.2 million 15–19, men: 0.18 million 20–24, men: 0.14 million 25–29, men: 0.11 million 30–34, men: 0.09 million 35–39, men: 0.08 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: 0.03 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: 0.23 million 5–9, women: 0.22 million 10–14, women: 0.2 million 15–19, women: 0.18 million 20–24, women: 0.14 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: 0.03 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: 0.23 million 5–9, men: 0.23 million 10–14, men: 0.22 million 15–19, men: 0.2 million 20–24, men: 0.16 million 25–29, men: 0.12 million 30–34, men: 0.09 million 35–39, men: 0.07 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: 0.02 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: 0.22 million 5–9, women: 0.22 million 10–14, women: 0.22 million 15–19, women: 0.19 million 20–24, women: 0.16 million 25–29, women: 0.12 million 30–34, women: 0.1 million 35–39, women: 0.08 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: 0.02 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: 0.24 million 5–9, men: 0.22 million 10–14, men: 0.22 million 15–19, men: 0.22 million 20–24, men: 0.19 million 25–29, men: 0.16 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: 0.01 million 85–89, men: 0 million 90–94, men: 0 million 95–99, men: 0 million 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70–74, women: 0.18 million 75–79, women: 0.15 million 80–84, women: 0.12 million 85–89, women: 0.08 million 90–94, women: 0.03 million 95–99, women: 0.01 million 100+, women: 0 million 0 10 20 30 40 50 60 70 80 90 100 0m 0 0m Men Women 0–4, men: 0.27 million 5–9, men: 0.27 million 10–14, men: 0.27 million 15–19, men: 0.28 million 20–24, men: 0.27 million 25–29, men: 0.27 million 30–34, men: 0.27 million 35–39, men: 0.27 million 40–44, men: 0.27 million 45–49, men: 0.26 million 50–54, men: 0.25 million 55–59, men: 0.24 million 60–64, men: 0.24 million 65–69, men: 0.22 million 70–74, men: 0.18 million 75–79, men: 0.14 million 80–84, men: 0.1 million 85–89, men: 0.06 million 90–94, men: 0.03 million 95–99, men: 0.01 million 100+, men: 0 million 0–4, women: 0.26 million 5–9, women: 0.26 million 10–14, women: 0.27 million 15–19, women: 0.27 million 20–24, women: 0.27 million 25–29, women: 0.27 million 30–34, women: 0.27 million 35–39, women: 0.27 million 40–44, women: 0.27 million 45–49, women: 0.26 million 50–54, women: 0.25 million 55–59, women: 0.25 million 60–64, women: 0.24 million 65–69, women: 0.23 million 70–74, women: 0.2 million 75–79, women: 0.16 million 80–84, women: 0.12 million 85–89, women: 0.08 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 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 3.71 2023 · 38th of 237 · UN WPP 2024
Median age 18.7 2023 · 208th of 237 · UN WPP 2024
Aged 65 and over 4.3% 2025, Projection, medium variant · UN WPP 2024
Eritrea emitted 743,000 t of CO2 from fossil fuels and cement in 2024.
Eritrea’s CO2 emissions, million tonnes, 1994–2024 0 Mt 0.20 Mt 0.40 Mt 0.60 Mt 0.80 Mt 1.0 Mt 1994 1999 2004 2009 2014 2019 2024 Source: Our World in Data CO2 · 1994–2024 · Updated 13 Nov 2026
CO2 emissions 0.74Mt 2024 · 173rd of 214 · Global Carbon Budget
CO2 per person 0.2t 2024 · 198th of 213 · Global Carbon Budget
CO2 since 1750 19Mt 2024 · 177th of 214 · Global Carbon Budget
Shown only where a source covers Eritrea.
Refugees 119 refugees and others in need of protection hosted, 2025
673,335 from it, abroad, 2025
Source: UNHCR Refugee Data Finder · 2025
Sanctions 6 entries on the US, EU and UK lists give it as an address or nationality: US 1, EU 3 and UK 2
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$3.01billion committed by Chinese state lenders, 2000–2021
Source: AidData Chinese development finance · 2000–2021
Cyber incidents No publicly known incidents affecting Eritrea in EuRepoC’s dataset, 2000–2024.
Counts compare documented incidents, not how often a country is targeted.
Source: EuRepoC Global Dataset of Cyber Incidents 1.3.2 (4 Mar 2025), CC BY-NC 4.0 · 2000–2024
32 measures on this site have a recent figure for Eritrea.
Sources for this page World Bank Indicators Unemployment, Foreign investment in, Population UN World Population Prospects Population (UN), Births per woman, Median age, Life expectancy UNHCR Refugee Data Finder Refugees from, 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 imports, Soybean imports, … Our World in Data CO2 CO2 emissions, CO2 per person, CO2 since 1750 WRI Aqueduct, accessed on 25 Oct 2026, aqueduct.wri.org (CC BY 4.0 ) Water stress FAO AQUASTAT Water from abroad US Consolidated Screening List Sanctions list entries, Sanctions EU financial sanctions list Sanctions UK Sanctions List Sanctions AidData Chinese development finance Chinese loans and grants EuRepoC cyber incidents Cyber incidents