Equatorial Guinea's agriculture, forestry, and fishing, value added (current US$) was US$411.21 million in 2025, the latest year in the World Bank's World Development Indicators. That is up 65.15% from US$248.99 million in 2015 (5.14% a year on average, compounded).
Key figures
| Value | Year | |
|---|---|---|
| Latest | US$411.21 million | 2025 |
| Five years earlier | US$311.81 million | 2020 |
| Ten years earlier | US$248.99 million | 2015 |
| Highest | US$411.21 million | 2025 |
| Lowest | US$153.14 million | 2006 |
| Average since 2016 | US$323.6 million | 2016–2025 |
| First recorded | US$153.14 million |
What the numbers say
In 2025, Equatorial Guinea's agriculture, forestry, and fishing, value added (current US$) rose 13.5% on 2024 (from US$362.17 million to US$411.21 million).
Across the 18 yearly changes before that (2007 to 2024), the average change was +5.3% and a typical year strayed about 9.8% from that (the standard deviation). This year's change was 0.8 standard deviations above that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.
On record, the biggest yearly rise was 29.9% in 2011 and the biggest yearly fall was 11.6% in 2015. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.
From 2016 to 2025 the straight-line trend is upward, about US$14.43 million a year. A straight line explains 90% of the movement over 10 observed years.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
A straight-line projection, tested first
Extending that straight line gives about US$418.32 million for 2028. We show this only because the same method, fitted on earlier years, predicted 2023 to 2025 better than "no change" would have: its average miss was US$21.76 million, against US$32.76 million for assuming no change. Treat it as a continuation of the recent pattern, not a forecast of events: it cannot see a recession, a policy change or a revision to the data.
See how a linear trend forecast works and the guide on forecasting without fooling yourself.
How it compares
In 2025, Equatorial Guinea had the 136th highest value of the 158 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.
| Value | Year | |
|---|---|---|
| Equatorial Guinea | US$411.21 million | 2025 |
| World | US$4.75 trillion | 2025 |
| Sub-Saharan Africa | US$395.96 billion | 2025 |
| Upper middle income | US$2.31 trillion | 2025 |
Closest to Equatorial Guinea in the 2025 ranking
What this measures
Agriculture, forestry, and fishing corresponds to ISIC (Rev. 4) divisions 01-03 and includes the exploitation of vegetal and animal natural resources, comprising the activities of growing of crops, raising and breeding of animals, harvesting of timber and other plants, animals or animal products from a farm or their natural habitats.Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
Limitations: Among the difficulties faced by compilers of national accounts is the extent of unreported economic activity in the informal or secondary economy. In developing countries a large share of agricultural output is either not exchanged (because it is consumed within the household) or not exchanged for money. Agricultural production often must be estimated indirectly, using a combination of methods involving estimates of inputs, yields, and area under cultivation. This approach sometimes leads to crude approximations that can differ from the true values over time and across crops for reasons other than climate conditions or farming techniques.
Regional and income-group figures are computed by the World Bank as a gap-filled total.
All 20 values
| Year | Agriculture, forestry, and fishing, value added (current US$) |
|---|---|
| 2025 | 411,212,980 |
| 2024 | 362,166,575 |
| 2023 | 347,290,645 |
| 2022 | 340,792,624 |
| 2021 | 345,265,790 |
| 2020 | 311,810,917 |
| 2019 | 277,043,777 |
| 2018 | 295,727,874 |
| 2017 | 282,507,695 |
| 2016 | 262,162,551 |
Agriculture, forestry, and fishing, value added (current US$) in nearby economies
- Angola — US$30.84 billion (2025)
- Benin — US$5.63 billion (2025)
- Botswana — US$354.96 million (2025)
- Burkina Faso — US$5.51 billion (2025)
- Burundi — US$1.15 billion (2025)
- Cabo Verde — US$153.97 million (2025)
- Cameroon — US$9.93 billion (2025)
- Central African Republic — US$846.47 million (2025)
- Chad — US$7.8 billion (2025)
More economic policy & debt data for Equatorial Guinea
- GDP (current US$) — US$12.82 billion (2025)
- GDP (current LCU) — 7.46 trillion (2025)
- GDP per capita (current US$) — US$6,615 (2025)
- GDP per capita (current LCU) — 3.85 million (2025)
- GNI (current US$) — US$11.61 billion (2025)
- GNI (current LCU) — 6.76 trillion (2025)
- GNI per capita (current LCU) — 3.49 million (2025)
- Net primary income (net income from abroad) (current US$) — −US$1.21 billion (2025)
- Net primary income (net income from abroad) (current LCU) — -705.58 billion (2025)
- Adjusted savings, education expenditure (% of GNI)
Reading data like this
Questions people ask
- What is Equatorial Guinea's agriculture, forestry, and fishing, value added (current US$)?
- US$411.21 million in 2025, according to the World Bank (World Development Indicators).
- How has it changed since 2006?
Source
World Bank, World Development Indicators, indicator NV.AGR.TOTL.CD, licensed CC BY 4.0. Original source: Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Staff estimates, World Bank (WB) Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.
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