Value Added (Agriculture, Forestry and Fishing) — Value Standard in Ghana
Ghana: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 57,168 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Ghana, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Ghana recorded 57,168 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
The figure is up 2.8% on the previous year and up 59.1% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Ghana peaked at 57,168 million SLC in 2024 and was at its lowest, 11,398 million SLC, in 1977.
Ghana ranks 79th of 191 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 Ghana, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 12,658 million SLC | — |
| 1971 | 13,315 million SLC | +5.2% |
| 1972 | 13,861 million SLC | +4.1% |
| 1973 | 13,944 million SLC | +0.6% |
| 1974 | 15,174 million SLC | +8.8% |
| 1975 | 12,150 million SLC | -19.9% |
| 1976 | 11,948 million SLC | -1.7% |
| 1977 | 11,398 million SLC | -4.6% |
| 1978 | 13,455 million SLC | +18.0% |
| 1979 | 13,963 million SLC | +3.8% |
| 1980 | 14,266 million SLC | +2.2% |
| 1981 | 13,900 million SLC | -2.6% |
| 1982 | 13,142 million SLC | -5.5% |
| 1983 | 12,220 million SLC | -7.0% |
| 1984 | 13,411 million SLC | +9.7% |
| 1985 | 13,499 million SLC | +0.7% |
| 1986 | 13,943 million SLC | +3.3% |
| 1987 | 13,947 million SLC | +0.0% |
| 1988 | 14,447 million SLC | +3.6% |
| 1989 | 15,061 million SLC | +4.2% |
| 1990 | 14,757 million SLC | -2.0% |
| 1991 | 15,607 million SLC | +5.8% |
| 1992 | 15,414 million SLC | -1.2% |
| 1993 | 15,772 million SLC | +2.3% |
| 1994 | 16,066 million SLC | +1.9% |
| 1995 | 16,667 million SLC | +3.7% |
| 1996 | 17,538 million SLC | +5.2% |
| 1997 | 18,291 million SLC | +4.3% |
| 1998 | 19,226 million SLC | +5.1% |
| 1999 | 19,972 million SLC | +3.9% |
| 2000 | 20,394 million SLC | +2.1% |
| 2001 | 21,214 million SLC | +4.0% |
| 2002 | 22,138 million SLC | +4.4% |
| 2003 | 23,481 million SLC | +6.1% |
| 2004 | 25,118 million SLC | +7.0% |
| 2005 | 26,157 million SLC | +4.1% |
| 2006 | 27,341 million SLC | +4.5% |
| 2007 | 26,872 million SLC | -1.7% |
| 2008 | 28,862 million SLC | +7.4% |
| 2009 | 30,947 million SLC | +7.2% |
| 2010 | 32,580 million SLC | +5.3% |
| 2011 | 32,855 million SLC | +0.8% |
| 2012 | 33,612 million SLC | +2.3% |
| 2013 | 35,613 million SLC | +6.0% |
| 2014 | 35,934 million SLC | +0.9% |
| 2015 | 36,673 million SLC | +2.1% |
| 2016 | 37,676 million SLC | +2.7% |
| 2017 | 40,017 million SLC | +6.2% |
| 2018 | 41,968 million SLC | +4.9% |
| 2019 | 43,921 million SLC | +4.7% |
| 2020 | 47,120 million SLC | +7.3% |
| 2021 | 51,106 million SLC | +8.5% |
| 2022 | 53,232 million SLC | +4.2% |
| 2023 | 55,601 million SLC | +4.5% |
| 2024 | 57,168 million SLC | +2.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 13,187 million SLC | 11,398 million SLC | 15,174 million SLC | 10 |
| 1980s | 13,784 million SLC | 12,220 million SLC | 15,061 million SLC | 10 |
| 1990s | 16,931 million SLC | 14,757 million SLC | 19,972 million SLC | 10 |
| 2000s | 25,252 million SLC | 20,394 million SLC | 30,947 million SLC | 10 |
| 2010s | 37,085 million SLC | 32,580 million SLC | 43,921 million SLC | 10 |
| 2020s | 52,845 million SLC | 47,120 million SLC | 57,168 million SLC | 5 |
Countries ranked near Ghana
More environment data for Ghana
- Historical exposure to drought — Land soil moisture anomaly -13.57 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -11.89 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.26 °C (2025)
- Temperature change 1.34 °C (2025)
- Sawnwood — Production, annual growth rate -4.66 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0.0061 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate -55.04 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Ghana?
- Value added (agriculture, forestry and fishing) — value standard in Ghana was 57,168 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 Ghana?
- The highest recorded value was 57,168 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Ghana?
- The lowest recorded value was 11,398 million SLC in 1977.
- How does Ghana rank for value added (agriculture, forestry and fishing) — value standard?
- Ghana ranks 79th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Ghana?
- Over the last ten years it is up 59.1%. The long-run trend across the full record is volatile.
- Where does this Ghana 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
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).