Value Added (Agriculture, Forestry and Fishing) — Value Standard in Ghana
Ghana: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 232,842 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
In 2024, value added (agriculture, forestry and fishing) — value standard in Ghana stood at 232,842 million SLC. That is the highest value across all 55 years on record.
That represents a change of up 31.1% on the previous year and up 649.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Ghana peaked at 232,842 million SLC in 2024 and was at its lowest, 0.1726 million SLC, in 1970.
That places Ghana 68th out of 199 countries with data for 2024, putting it 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 | 0.1726 million SLC | — |
| 1971 | 0.1797 million SLC | +4.1% |
| 1972 | 0.2138 million SLC | +19.0% |
| 1973 | 0.2792 million SLC | +30.6% |
| 1974 | 0.388 million SLC | +39.0% |
| 1975 | 0.41 million SLC | +5.7% |
| 1976 | 0.5373 million SLC | +31.0% |
| 1977 | 1.02 million SLC | +90.1% |
| 1978 | 2.07 million SLC | +103.1% |
| 1979 | 2.76 million SLC | +32.8% |
| 1980 | 4.04 million SLC | +46.7% |
| 1981 | 6.28 million SLC | +55.3% |
| 1982 | 8.07 million SLC | +28.6% |
| 1983 | 17.9 million SLC | +121.8% |
| 1984 | 21.69 million SLC | +21.2% |
| 1985 | 25.07 million SLC | +15.6% |
| 1986 | 39.78 million SLC | +58.6% |
| 1987 | 61.45 million SLC | +54.5% |
| 1988 | 84.91 million SLC | +38.2% |
| 1989 | 112.98 million SLC | +33.1% |
| 1990 | 140.24 million SLC | +24.1% |
| 1991 | 179.86 million SLC | +28.3% |
| 1992 | 204.33 million SLC | +13.6% |
| 1993 | 232.8 million SLC | +13.9% |
| 1994 | 320.24 million SLC | +37.6% |
| 1995 | 489.38 million SLC | +52.8% |
| 1996 | 719.12 million SLC | +46.9% |
| 1997 | 822.15 million SLC | +14.3% |
| 1998 | 1,014 million SLC | +23.3% |
| 1999 | 1,199 million SLC | +18.2% |
| 2000 | 1,559 million SLC | +30.1% |
| 2001 | 2,184 million SLC | +40.1% |
| 2002 | 2,796 million SLC | +28.0% |
| 2003 | 3,936 million SLC | +40.8% |
| 2004 | 4,936 million SLC | +25.4% |
| 2005 | 5,930 million SLC | +20.1% |
| 2006 | 6,769 million SLC | +14.1% |
| 2007 | 7,900 million SLC | +16.7% |
| 2008 | 11,094 million SLC | +40.4% |
| 2009 | 14,178 million SLC | +27.8% |
| 2010 | 16,137 million SLC | +13.8% |
| 2011 | 17,693 million SLC | +9.6% |
| 2012 | 20,835 million SLC | +17.8% |
| 2013 | 25,356 million SLC | +21.7% |
| 2014 | 31,076 million SLC | +22.6% |
| 2015 | 36,673 million SLC | +18.0% |
| 2016 | 45,773 million SLC | +24.8% |
| 2017 | 51,408 million SLC | +12.3% |
| 2018 | 55,967 million SLC | +8.9% |
| 2019 | 61,765 million SLC | +10.4% |
| 2020 | 73,896 million SLC | +19.6% |
| 2021 | 90,758 million SLC | +22.8% |
| 2022 | 119,879 million SLC | +32.1% |
| 2023 | 177,607 million SLC | +48.2% |
| 2024 | 232,842 million SLC | +31.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.8032 million SLC | 0.1726 million SLC | 2.76 million SLC | 10 |
| 1980s | 38.22 million SLC | 4.04 million SLC | 112.98 million SLC | 10 |
| 1990s | 532.09 million SLC | 140.24 million SLC | 1,199 million SLC | 10 |
| 2000s | 6,128 million SLC | 1,559 million SLC | 14,178 million SLC | 10 |
| 2010s | 36,268 million SLC | 16,137 million SLC | 61,765 million SLC | 10 |
| 2020s | 138,996 million SLC | 73,896 million SLC | 232,842 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)
- Paper and paperboard — Import quantity, annual growth rate 78.11 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0047 t per person (2024)
- Paper and paperboard — Import value, annual growth rate 30.08 % change on previous year (2024)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD 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 232,842 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 232,842 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Ghana?
- The lowest recorded value was 0.1726 million SLC in 1970.
- How does Ghana rank for value added (agriculture, forestry and fishing) — value standard?
- Ghana ranks 68th out of 199 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 649.3%. 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. 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).