Value Added (Agriculture, Forestry and Fishing) — Value Standard in Equatorial Guinea
Equatorial Guinea: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 156,642 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Equatorial Guinea, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Equatorial Guinea stood at 156,642 million SLC. That is the highest value across all 55 years on record.
That represents a change of up 2.9% on the previous year and up 18.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Equatorial Guinea peaked at 156,642 million SLC in 2024 and was at its lowest, 41,818 million SLC, in 1970.
That places Equatorial Guinea 63rd out of 191 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Equatorial Guinea, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 41,818 million SLC | — |
| 1971 | 43,612 million SLC | +4.3% |
| 1972 | 44,586 million SLC | +2.2% |
| 1973 | 47,850 million SLC | +7.3% |
| 1974 | 49,282 million SLC | +3.0% |
| 1975 | 52,503 million SLC | +6.5% |
| 1976 | 52,698 million SLC | +0.4% |
| 1977 | 56,631 million SLC | +7.5% |
| 1978 | 53,717 million SLC | -5.1% |
| 1979 | 50,913 million SLC | -5.2% |
| 1980 | 53,363 million SLC | +4.8% |
| 1981 | 56,829 million SLC | +6.5% |
| 1982 | 58,317 million SLC | +2.6% |
| 1983 | 60,282 million SLC | +3.4% |
| 1984 | 60,465 million SLC | +0.3% |
| 1985 | 68,986 million SLC | +14.1% |
| 1986 | 70,252 million SLC | +1.8% |
| 1987 | 72,678 million SLC | +3.5% |
| 1988 | 66,300 million SLC | -8.8% |
| 1989 | 68,114 million SLC | +2.7% |
| 1990 | 66,351 million SLC | -2.6% |
| 1991 | 64,705 million SLC | -2.5% |
| 1992 | 64,286 million SLC | -0.6% |
| 1993 | 66,952 million SLC | +4.1% |
| 1994 | 76,191 million SLC | +13.8% |
| 1995 | 88,840 million SLC | +16.6% |
| 1996 | 85,260 million SLC | -4.0% |
| 1997 | 106,969 million SLC | +25.5% |
| 1998 | 88,591 million SLC | -17.2% |
| 1999 | 108,001 million SLC | +21.9% |
| 2000 | 99,010 million SLC | -8.3% |
| 2001 | 97,171 million SLC | -1.9% |
| 2002 | 87,701 million SLC | -9.7% |
| 2003 | 89,889 million SLC | +2.5% |
| 2004 | 91,976 million SLC | +2.3% |
| 2005 | 99,058 million SLC | +7.7% |
| 2006 | 103,714 million SLC | +4.7% |
| 2007 | 110,603 million SLC | +6.6% |
| 2008 | 87,234 million SLC | -21.1% |
| 2009 | 79,688 million SLC | -8.7% |
| 2010 | 94,428 million SLC | +18.5% |
| 2011 | 105,423 million SLC | +11.6% |
| 2012 | 114,005 million SLC | +8.1% |
| 2013 | 122,903 million SLC | +7.8% |
| 2014 | 131,729 million SLC | +7.2% |
| 2015 | 147,208 million SLC | +11.8% |
| 2016 | 155,192 million SLC | +5.4% |
| 2017 | 150,932 million SLC | -2.7% |
| 2018 | 147,234 million SLC | -2.5% |
| 2019 | 134,531 million SLC | -8.6% |
| 2020 | 131,754 million SLC | -2.1% |
| 2021 | 136,196 million SLC | +3.4% |
| 2022 | 149,042 million SLC | +9.4% |
| 2023 | 152,274 million SLC | +2.2% |
| 2024 | 156,642 million SLC | +2.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 49,361 million SLC | 41,818 million SLC | 56,631 million SLC | 10 |
| 1980s | 63,559 million SLC | 53,363 million SLC | 72,678 million SLC | 10 |
| 1990s | 81,615 million SLC | 64,286 million SLC | 108,001 million SLC | 10 |
| 2000s | 94,604 million SLC | 79,688 million SLC | 110,603 million SLC | 10 |
| 2010s | 130,359 million SLC | 94,428 million SLC | 155,192 million SLC | 10 |
| 2020s | 145,182 million SLC | 131,754 million SLC | 156,642 million SLC | 5 |
Countries ranked near Equatorial Guinea
More environment data for Equatorial Guinea
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.21 °C (2025)
- Temperature change 1.27 °C (2025)
- Sawnwood, non-coniferous — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood, non-coniferous — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Production, per capita 0.0423 m3 per person (2024)
- Sawnwood, non-coniferous — Import quantity, annual growth rate -100 % change on previous year (2024)
- Sawnwood, non-coniferous — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Import quantity, per capita 0 m3 per person (2024)
- Sawnwood, non-coniferous — Import value, annual growth rate -100 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Equatorial Guinea?
- Value added (agriculture, forestry and fishing) — value standard in Equatorial Guinea was 156,642 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Equatorial Guinea?
- The highest recorded value was 156,642 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Equatorial Guinea?
- The lowest recorded value was 41,818 million SLC in 1970.
- How does Equatorial Guinea rank for value added (agriculture, forestry and fishing) — value standard?
- Equatorial Guinea ranks 63rd out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Equatorial Guinea?
- Over the last ten years it is up 18.9%. The long-run trend across the full record is rising.
- Where does this Equatorial Guinea data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).