Value Added (Agriculture, Forestry and Fishing) — Value Standard in Gabon
Gabon: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 778,515 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Gabon, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Gabon recorded 778,515 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
That represents a change of up 1.4% on the previous year and up 139.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Gabon peaked at 802,600 million SLC in 2022 and was at its lowest, 12,460 million SLC, in 1972.
Gabon ranks 52nd 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 Gabon, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 14,566 million SLC | — |
| 1971 | 12,724 million SLC | -12.7% |
| 1972 | 12,460 million SLC | -2.1% |
| 1973 | 17,345 million SLC | +39.2% |
| 1974 | 31,384 million SLC | +80.9% |
| 1975 | 37,705 million SLC | +20.1% |
| 1976 | 34,135 million SLC | -9.5% |
| 1977 | 36,411 million SLC | +6.7% |
| 1978 | 33,384 million SLC | -8.3% |
| 1979 | 31,424 million SLC | -5.9% |
| 1980 | 61,350 million SLC | +95.2% |
| 1981 | 62,110 million SLC | +1.2% |
| 1982 | 67,472 million SLC | +8.6% |
| 1983 | 76,017 million SLC | +12.7% |
| 1984 | 89,334 million SLC | +17.5% |
| 1985 | 94,512 million SLC | +5.8% |
| 1986 | 101,078 million SLC | +6.9% |
| 1987 | 99,321 million SLC | -1.7% |
| 1988 | 99,876 million SLC | +0.6% |
| 1989 | 108,384 million SLC | +8.5% |
| 1990 | 110,907 million SLC | +2.3% |
| 1991 | 108,571 million SLC | -2.1% |
| 1992 | 114,123 million SLC | +5.1% |
| 1993 | 121,320 million SLC | +6.3% |
| 1994 | 197,589 million SLC | +62.9% |
| 1995 | 185,812 million SLC | -6.0% |
| 1996 | 193,102 million SLC | +3.9% |
| 1997 | 209,739 million SLC | +8.6% |
| 1998 | 173,568 million SLC | -17.2% |
| 1999 | 195,719 million SLC | +12.8% |
| 2000 | 209,646 million SLC | +7.1% |
| 2001 | 205,720 million SLC | -1.9% |
| 2002 | 211,112 million SLC | +2.6% |
| 2003 | 222,437 million SLC | +5.4% |
| 2004 | 223,848 million SLC | +0.6% |
| 2005 | 251,854 million SLC | +12.5% |
| 2006 | 264,979 million SLC | +5.2% |
| 2007 | 295,565 million SLC | +11.5% |
| 2008 | 293,755 million SLC | -0.6% |
| 2009 | 287,300 million SLC | -2.2% |
| 2010 | 278,300 million SLC | -3.1% |
| 2011 | 294,500 million SLC | +5.8% |
| 2012 | 294,000 million SLC | -0.2% |
| 2013 | 289,300 million SLC | -1.6% |
| 2014 | 325,500 million SLC | +12.5% |
| 2015 | 366,600 million SLC | +12.6% |
| 2016 | 413,300 million SLC | +12.7% |
| 2017 | 456,400 million SLC | +10.4% |
| 2018 | 509,300 million SLC | +11.6% |
| 2019 | 549,200 million SLC | +7.8% |
| 2020 | 584,300 million SLC | +6.4% |
| 2021 | 729,900 million SLC | +24.9% |
| 2022 | 802,600 million SLC | +10.0% |
| 2023 | 767,500 million SLC | -4.4% |
| 2024 | 778,515 million SLC | +1.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 26,154 million SLC | 12,460 million SLC | 37,705 million SLC | 10 |
| 1980s | 85,945 million SLC | 61,350 million SLC | 108,384 million SLC | 10 |
| 1990s | 161,045 million SLC | 108,571 million SLC | 209,739 million SLC | 10 |
| 2000s | 246,622 million SLC | 205,720 million SLC | 295,565 million SLC | 10 |
| 2010s | 377,640 million SLC | 278,300 million SLC | 549,200 million SLC | 10 |
| 2020s | 732,563 million SLC | 584,300 million SLC | 802,600 million SLC | 5 |
Countries ranked near Gabon
More environment data for Gabon
- Historical exposure to drought — Land soil moisture anomaly -4.44 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -3.43 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.219 °C (2025)
- Temperature change 1.09 °C (2025)
- Printing and writing papers — Import quantity, annual growth rate 31.35 % change on previous year (2024)
- Printing and writing papers — Import quantity, per capita 0.0027 t per person (2024)
- Printing and writing papers — Import value, annual growth rate 25.47 % change on previous year (2024)
- Printing and writing papers — Import value, per capita 0.0039 1000 USD per person (2024)
- Other paper and paperboard — Import quantity, annual growth rate 42.71 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Gabon?
- Value added (agriculture, forestry and fishing) — value standard in Gabon was 778,515 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 Gabon?
- The highest recorded value was 802,600 million SLC in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Gabon?
- The lowest recorded value was 12,460 million SLC in 1972.
- How does Gabon rank for value added (agriculture, forestry and fishing) — value standard?
- Gabon ranks 52nd out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Gabon?
- Over the last ten years it is up 139.2%. The long-run trend across the full record is volatile.
- Where does this Gabon 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).