GDP
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Equatorial Guinea's GDP is $14.28B (2026, IMF projection), with a population of 1.9M (2025) and GDP per capita of $8,484 (2026, IMF projection). Key indicators: real GDP growth of -1.7%, inflation at 3.3% and government debt at 32.9% of GDP (all 2026, IMF projections); life expectancy of 63.9 years (2024). Data sourced from the IMF World Economic Outlook and World Bank World Development Indicators.
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Trade (% of GDP) | 74.9% | 2025 | ▲ 0.6 pp | WB |
| Exports of Goods & Services (% of GDP) | 46.5% | 2025 | ▲ 1.5 pp | WB |
| Imports of Goods & Services (% of GDP) | 28.4% | 2025 | ▼ 0.9 pp | WB |
| Exports of Goods & Services (USD) | $5.97B | 2025 | ▲ 0.1% | WB |
| Imports of Goods & Services (USD) | $3.64B | 2025 | ▼ 6.2% | WB |
| Merchandise Exports (USD) | $2.60B | 2025 | ▼ 12.7% | WB |
| Merchandise Imports (USD) | $1.70B | 2025 | ▲ 12.1% | WB |
| FDI Inflows (% of GDP) | 2.3% | 2025 | ▲ 0.9 pp | WB |
| FDI Outflows (% of GDP) | 0.2% | 2025 | 0.0 pp | WB |
| FDI Net Inflows (USD) | $293.9M | 2025 | ▲ 56.3% | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Net ODA Received (% of GNI) | 0.1% | 2023 | 0.0 pp | WB |
| Net ODA Received (USD) | $11.7M | 2023 | ▼ 6.1% | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Domestic Credit to Private Sector (% of GDP) | 5.8% | 2023 | ▼ 2.3 pp | WB |
| Bank Capital to Assets Ratio (%) | -6.4% | 2023 | ▼ 7.6 pp | WB |
| Bank Nonperforming Loans (%) | 31.1% | 2023 | ▼ 24.3 pp | WB |
| Firms Using Banks to Finance Investment (%) | 9.7% | 2024 | – | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Time to Get Electricity (days) | 38 | 2024 | – | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Firms Expected to Pay Bribes (%) | 32.8% | 2024 | – | WB |
| Firms with Female Participation in Ownership (%) | 26.1% | 2024 | – | WB |
| Firms with a Female Top Manager (%) | 8.1% | 2024 | – | WB |
| Firms Offering Training (%) | 45.1% | 2024 | – | WB |
| Time to Obtain an Operating License (days) | 16.8 | 2024 | – | WB |
| Firms Competing with Unregistered Firms (%) | 46.9% | 2024 | – | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Population | 1.9M | 2025 | ▲ 2.4% | WB |
| Population Growth (%) | 2.4% | 2025 | 0.0 pp | WB |
| Population Density (per km²) | 67 | 2024 | ▲ 2.4% | WB |
| Surface Area (sq km) | 28,052 | 2024 | 0.0% | WB |
| Land Area (sq km) | 28,052 | 2024 | 0.0% | WB |
| Urban Population (%) | 71.6% | 2025 | ▲ 0.2 pp | WB |
| Urban Population (total) | 1.4M | 2025 | ▲ 2.7% | WB |
| Rural Population (%) | 28.4% | 2025 | ▼ 0.2 pp | WB |
| Life Expectancy at Birth | 63.9 years | 2024 | ▲ 0.3% | WB |
| Life Expectancy, Male | 62.2 years | 2024 | ▲ 0.3% | WB |
| Life Expectancy, Female | 65.9 years | 2024 | ▲ 0.3% | WB |
| Fertility Rate (births per woman) | 4.1 | 2024 | ▲ 0.9% | WB |
| Birth Rate (per 1,000) | 30 | 2024 | ▲ 1.3% | WB |
| Death Rate (per 1,000) | 7.9 | 2024 | ▼ 0.3% | WB |
| Net Migration | 3,812 | 2025 | ▼ 2.0% | WB |
| Population Ages 0–14 (%) | 37.1% | 2025 | ▼ 0.2 pp | WB |
| Population Ages 15–64 (%) | 59.1% | 2025 | ▲ 0.1 pp | WB |
| Population Ages 65+ (%) | 3.8% | 2025 | ▲ 0.1 pp | WB |
| Age Dependency Ratio (%) | 69.1% | 2025 | ▼ 0.4 pp | WB |
| Old-Age Dependency Ratio (%) | 6.4% | 2025 | ▲ 0.1 pp | WB |
| Youth Dependency Ratio (%) | 62.7% | 2025 | ▼ 0.5 pp | WB |
| Mortality Rate, Adult Male (per 1,000) | 258.8 | 2024 | ▼ 0.8% | WB |
| Mortality Rate, Adult Female (per 1,000) | 198.7 | 2024 | ▼ 1.1% | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Total Labor Force | 737,977 | 2025 | ▲ 2.1% | WB |
| Labor Force Participation (%) | 60.5% | 2025 | ▼ 0.4 pp | WB |
| Female Labor Force Participation (%) | 52.6% | 2025 | ▼ 0.4 pp | WB |
| Male Labor Force Participation (%) | 67.2% | 2025 | ▼ 0.3 pp | WB |
| Unemployment (%) | 8.3% | 2025 | 0.0 pp | WB |
| Female Unemployment (%) | 9.3% | 2025 | ▼ 0.1 pp | WB |
| Male Unemployment (%) | 7.7% | 2025 | ▲ 0.1 pp | WB |
| Youth Unemployment (%) | 15.7% | 2025 | ▲ 0.2 pp | WB |
| Employment in Agriculture (%) | 55.3% | 2025 | ▲ 0.2 pp | WB |
| Employment in Industry (%) | 9.9% | 2025 | ▼ 0.2 pp | WB |
| Employment in Services (%) | 34.7% | 2025 | 0.0 pp | WB |
| Labor Force Participation, Age 15+ (National Estimate, %) | 59.1% | 2023 | – | WB |
| Vulnerable Employment (%) | 23.1% | 2025 | ▲ 0.2 pp | WB |
| Wage & Salaried Workers (% of total) | 72.5% | 2025 | ▼ 0.2 pp | WB |
| Part-Time Employment (%) | 43.1% | 2023 | – | WB |
| Employers (% of total employment) | 4.4% | 2025 | 0.0 pp | WB |
| Labor Force, Female (% of total) | 40.0% | 2025 | 0.0 pp | WB |
| Employment to Population Ratio (%) | 55.5% | 2025 | ▼ 0.4 pp | WB |
| Self-Employed (% of total) | 27.5% | 2025 | ▲ 0.2 pp | WB |
| NEET Youth (% not in education/employment) | 17.5% | 2023 | – | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Adult Literacy Rate (%) | 88.3% | 2000 | – | WB |
| Female Literacy Rate (%) | 81.6% | 2000 | – | WB |
| Male Literacy Rate (%) | 94.8% | 2000 | – | WB |
| Youth Literacy Rate (%) | 97.1% | 2000 | – | WB |
| Primary School Enrollment (%) | 47.5% | 2015 | ▼ 7.4 ppsince 2012 | WB |
| Secondary School Enrollment (%) | 17.8% | 2005 | ▼ 0.4 ppsince 2002 | WB |
| Tertiary School Enrollment (%) | 1.8% | 2000 | – | WB |
| Primary Completion Rate (%) | 32.6% | 2015 | ▼ 3.1 ppsince 2012 | WB |
| Lower Secondary Completion Rate (%) | 18.9% | 2015 | ▼ 3.2 ppsince 2012 | WB |
| Out-of-School Children, Primary | 128,846 | 2015 | ▲ 23.5%since 2012 | WB |
| Out-of-School Girls, Primary | 62,954 | 2015 | ▲ 26.2%since 2012 | WB |
| Primary School Teachers | 4,021 | 2015 | ▲ 14.3%since 2012 | WB |
| Secondary School Teachers | 1,327 | 2005 | ▲ 48.4%since 2000 | WB |
| Pupil-Teacher Ratio, Primary | 23 | 2015 | ▼ 11.2%since 2012 | WB |
| Pupil-Teacher Ratio, Secondary | 19 | 2005 | ▼ 16.9%since 2000 | WB |
| Persistence to Last Primary Grade (% of Cohort) | 72.1% | 2011 | ▲ 16.7 pp | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| CO₂ Emissions per Capita, Excluding LULUCF (t CO2e) | 2.6 | 2024 | ▼ 1.1% | WB |
| CO₂ Emissions, Excluding LULUCF (Mt CO2e) | 5 | 2024 | ▲ 1.3% | WB |
| Energy Use (kg oil eq. per capita) | 1,251 | 2024 | ▼ 6.8% | WB |
| Electric Power Consumption (kWh per capita) | 855 | 2024 | ▲ 7.9% | WB |
| Renewable Electricity Output (%) | 8.8% | 2021 | ▼ 0.2 pp | WB |
| Renewable Energy Consumption (%) | 4.2% | 2022 | ▼ 1.0 pp | WB |
| Access to Electricity (%) | 65.1% | 2024 | ▼ 1.8 pp | WB |
| Access to Clean Fuels for Cooking (%) | 50.0% | 2024 | ▲ 1.0 pp | WB |
| PM2.5 Air Pollution (µg/m³) | 42.2 | 2023 | ▼ 3.2% | WB |
| Forest Area (%) | 86.1% | 2024 | ▼ 0.3 pp | WB |
| Forest Area (sq km) | 24,066 | 2025 | ▼ 0.3% | WB |
| Arable Land (%) | 1.9% | 2024 | 0.0 pp | WB |
| Terrestrial and Marine Protected Areas (%) | 1.8% | 2025 | 0.0 pp | WB |
| Marine Protected Areas (%) | 0.3% | 2025 | 0.0 pp | WB |
| Access to Basic Drinking Water (%) | 64.7% | 2017 | ▲ 0.2 pp | WHO |
| Access to Basic Sanitation (%) | 66.3% | 2017 | ▲ 0.1 pp | WHO |
| Urban PM2.5 Concentration (WHO) | 28.1 | 2023 | – | WHO |
| Air Pollution Mortality (household + ambient, age-standardized) | 151.1 | 2021 | – | WHO |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Agricultural Land (%) | 3.4% | 2024 | 0.0 pp | WB |
| Food Production Index (2014–2016=100) | 103 | 2024 | 0.0% | WB |
| Crop Production Index (2014–2016=100) | 103.3 | 2024 | 0.0% | WB |
| Livestock Production Index (2014–2016=100) | 109.6 | 2024 | ▲ 0.9% | WB |
| Total Fisheries Production (metric tonnes) | 7,253 | 2024 | ▲ 0.6% | WB |
| Fertilizer Consumption (kg per hectare) | 4.8 | 2024 | ▼ 61.0% | WB |
| Annual Freshwater Withdrawals (% of internal) | 0.1% | 2022 | 0.0 pp | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Internet Users (%) | 63.3% | 2024 | ▼ 0.2 pp | WB |
| Mobile Subscriptions (per 100 people) | 50 | 2022 | ▲ 6.7% | WB |
| Fixed Broadband Subscriptions (per 100) | 0.1 | 2022 | ▲ 3.1% | WB |
| Secure Internet Servers (per million) | 66.6 | 2024 | ▲ 51.9% | WB |
| Scientific Journal Articles | 3 | 2023 | ▲ 17.4% | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Air Transport, Passengers Carried | 118,427 | 2023 | ▼ 30.7% | WB |
| Air Transport, Freight (million ton-km) | 0.8 | 2023 | ▼ 66.1% | WB |
| Container Port Traffic (TEU) | 13,851 | 2019 | ▼ 5.9% | WB |
| Logistics Performance Index (1–5) | 2.32 | 2018 | ▲ 23.5%since 2016 | WB |
| Electricity from Oil (%) | 0.5% | 2024 | ▼ 0.1 pp | WB |
| Electricity from Nuclear (%) | 0.0% | 2021 | 0.0 pp | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Women in Parliament (%) | 31.0% | 2025 | ▼ 1.0 pp | WB |
| Female Labor Force Participation, 15+ (%) | 55.1% | 2023 | – | WB |
| Female Wage & Salaried Workers (%) | 68.5% | 2025 | ▼ 0.3 pp | WB |
| Gross Intake to First Primary Grade, Female (%) | 61.5% | 2015 | ▼ 9.7 ppsince 2012 | WB |
| Adolescent Fertility Rate (per 1,000) | 152.9 | 2024 | ▲ 1.6% | WB |
| Gross Intake to First Primary Grade, Total (%) | 62.3% | 2015 | ▼ 8.9 ppsince 2012 | WB |
| Gender Parity Index, Secondary | 0.74 | 2005 | ▲ 25.0%since 2002 | WB |
| Gender Parity in Primary Education | 0.99 | 2015 | ▼ 0.1%since 2012 | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Control of Corruption | -1.48 | 2025 | ▼ 0.01 | WB |
| Government Effectiveness | -1.22 | 2025 | 0 | WB |
| Political Stability | -0.15 | 2025 | 0 | WB |
| Regulatory Quality | -1.43 | 2025 | 0 | WB |
| Rule of Law | -1.54 | 2025 | ▼ 0.03 | WB |
| Voice & Accountability | -1.79 | 2025 | 0 | WB |
| Control of Corruption Score (0-100) | 18.2 | 2025 | ▼ 0.2 | WB |
| Government Effectiveness Score (0-100) | 27.3 | 2025 | 0 | WB |
| Political Stability Score (0-100) | 62.9 | 2025 | ▲ 0.1 | WB |
| Regulatory Quality Score (0-100) | 30.8 | 2025 | 0 | WB |
| Rule of Law Score (0-100) | 33.2 | 2025 | ▼ 0.4 | WB |
| Voice & Accountability Score (0-100) | 24.8 | 2025 | ▲ 0.1 | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Military Spending (% of GDP) | 0.9% | 2025 | 0.0 pp | WB |
| Military Expenditure (USD) | $120.7M | 2025 | ▲ 5.4% | WB |
| Armed Forces Personnel | 1,000 | 2020 | 0.0% | WB |
| Armed Forces (% of labor force) | 0.2% | 2020 | 0.0 pp | WB |
| Military Spending (% of govt expenditure) | 4.7% | 2025 | ▼ 0.2 pp | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Poverty at $3.00/day (2021 PPP, %) | 8.8% | 2022 | – | WB |
| Poverty at $4.20/day (2021 PPP, %) | 21.5% | 2022 | – | WB |
| Poverty at $8.30/day (2021 PPP, %) | 58.1% | 2022 | – | WB |
| Poverty Headcount, National (%) | 50.7% | 2022 | – | WB |
| Gini Index | 38.5 | 2022 | – | WB |
| Income Share, Top 10% | 29.1% | 2022 | – | WB |
| Income Share, Bottom 10% | 2.6% | 2022 | – | WB |
| Income Share, Top 20% | 45.4% | 2022 | – | WB |
| Income Share, Bottom 20% | 6.4% | 2022 | – | WB |
| Poverty Gap at $3.00/day (2021 PPP, %) | 1.8% | 2022 | – | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Tourism Receipts (USD) | $14.0M | 2001 | ▲ 180.0% | WB |
| Tourism Expenditures (USD) | $30.0M | 2001 | ▲ 57.9% | WB |
| Indicator | Value | Year | Change | Source |
|---|---|---|---|---|
| Urban Population Growth (%) | 2.7% | 2025 | 0.0 pp | WB |
| Population in Largest City | 512,750 | 2025 | ▲ 3.9% | WB |
| Population in Largest City (% of urban) | 37.0% | 2025 | ▲ 0.4 pp | WB |
| Population in Slums (% of urban) | 64.7% | 2022 | ▼ 0.2 ppsince 2020 | WB |
| Rural Population Growth (%) | 1.6% | 2025 | 0.0 pp | WB |
Each row shows the latest figure available for Equatorial Guinea up to this year, with the year it refers to. Publishers release on different schedules, so the years differ from row to row.
IMF projection: a forecast from the IMF World Economic Outlook, revised at each release, not a measured value.
Change compares a reading with the one before it. Figures measured in percent, such as growth, inflation or a share of GDP, change by percentage points (pp). Amounts and counts, such as GDP or population, change by percent. When either reading is zero or negative, as a current account balance can be, or the figure is a governance score centred on zero, the change is shown in the figure's own unit. When the earlier reading is more than a year older, the year it is measured from is shown. A dash means there is no earlier reading.