Value Added (Agriculture, Forestry and Fishing) — Value Standard in Equatorial Guinea
Equatorial Guinea: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 223,260 million SLC in 2024. ◆ Volatile
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 223,260 million SLC. That is the highest value across all 55 years on record.
The figure is up 5.3% on the previous year and up 60.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Equatorial Guinea peaked at 223,260 million SLC in 2024 and was at its lowest, 744.2 million SLC, in 1972.
Equatorial Guinea ranks 69th of 199 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Equatorial Guinea, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 821.46 million SLC | — |
| 1971 | 798.25 million SLC | -2.8% |
| 1972 | 744.2 million SLC | -6.8% |
| 1973 | 837.21 million SLC | +12.5% |
| 1974 | 960.85 million SLC | +14.8% |
| 1975 | 1,059 million SLC | +10.2% |
| 1976 | 1,227 million SLC | +15.9% |
| 1977 | 1,400 million SLC | +14.1% |
| 1978 | 1,454 million SLC | +3.9% |
| 1979 | 1,546 million SLC | +6.3% |
| 1980 | 1,662 million SLC | +7.5% |
| 1981 | 2,026 million SLC | +21.9% |
| 1982 | 2,919 million SLC | +44.1% |
| 1983 | 3,764 million SLC | +29.0% |
| 1984 | 4,304 million SLC | +14.3% |
| 1985 | 5,599 million SLC | +30.1% |
| 1986 | 5,706 million SLC | +1.9% |
| 1987 | 5,974 million SLC | +4.7% |
| 1988 | 5,771 million SLC | -3.4% |
| 1989 | 5,934 million SLC | +2.8% |
| 1990 | 5,917 million SLC | -0.3% |
| 1991 | 6,021 million SLC | +1.8% |
| 1992 | 5,848 million SLC | -2.9% |
| 1993 | 5,872 million SLC | +0.4% |
| 1994 | 9,902 million SLC | +68.6% |
| 1995 | 12,118 million SLC | +22.4% |
| 1996 | 13,990 million SLC | +15.4% |
| 1997 | 19,250 million SLC | +37.6% |
| 1998 | 14,573 million SLC | -24.3% |
| 1999 | 23,256 million SLC | +59.6% |
| 2000 | 60,312 million SLC | +159.3% |
| 2001 | 61,438 million SLC | +1.9% |
| 2002 | 55,905 million SLC | -9.0% |
| 2003 | 58,466 million SLC | +4.6% |
| 2004 | 69,405 million SLC | +18.7% |
| 2005 | 68,845 million SLC | -0.8% |
| 2006 | 80,075 million SLC | +16.3% |
| 2007 | 86,009 million SLC | +7.4% |
| 2008 | 78,951 million SLC | -8.2% |
| 2009 | 75,089 million SLC | -4.9% |
| 2010 | 85,677 million SLC | +14.1% |
| 2011 | 106,031 million SLC | +23.8% |
| 2012 | 120,667 million SLC | +13.8% |
| 2013 | 129,218 million SLC | +7.1% |
| 2014 | 139,091 million SLC | +7.6% |
| 2015 | 147,208 million SLC | +5.8% |
| 2016 | 155,359 million SLC | +5.5% |
| 2017 | 164,040 million SLC | +5.6% |
| 2018 | 164,261 million SLC | +0.1% |
| 2019 | 162,323 million SLC | -1.2% |
| 2020 | 179,474 million SLC | +10.6% |
| 2021 | 191,460 million SLC | +6.7% |
| 2022 | 210,419 million SLC | +9.9% |
| 2023 | 212,035 million SLC | +0.8% |
| 2024 | 223,260 million SLC | +5.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,085 million SLC | 744.2 million SLC | 1,546 million SLC | 10 |
| 1980s | 4,366 million SLC | 1,662 million SLC | 5,974 million SLC | 10 |
| 1990s | 11,675 million SLC | 5,848 million SLC | 23,256 million SLC | 10 |
| 2000s | 69,449 million SLC | 55,905 million SLC | 86,009 million SLC | 10 |
| 2010s | 137,388 million SLC | 85,677 million SLC | 164,261 million SLC | 10 |
| 2020s | 203,330 million SLC | 179,474 million SLC | 223,260 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)
- Permanent crops — Share in Agricultural land 40.03 % (2024)
- Nutrient phosphate P2O5 (total) — Use per value of agricultural 0.05 g/Int$ (2024)
- Permanent meadows and pastures — Area 4.92 1000 ha (2024)
- Permanent meadows and pastures — Share in Agricultural land 5.09 % (2024)
- Permanent meadows and pastures — Share in Land area 0.18 % (2024)
- Land area equipped for irrigation — Area 1.49 1000 ha (2024)
- Land area equipped for irrigation — Share in Cropland 1.63 % (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 223,260 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 223,260 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 744.2 million SLC in 1972.
- How does Equatorial Guinea rank for value added (agriculture, forestry and fishing) — value standard?
- Equatorial Guinea ranks 69th out of 199 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 60.5%. The long-run trend across the full record is volatile.
- 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. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).