Value Added (Agriculture, Forestry and Fishing) — Share of GDP in Sierra Leone
Sierra Leone: Value Added (Agriculture, Forestry and Fishing) — Share of GDP was 25.43 % in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Share of GDP in Sierra Leone, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — share of gdp in Sierra Leone is 25.43 %, measured in 2024. That is the lowest value across all 55 years on record.
Compared with earlier readings it is down 12.5% on the previous year and down 50.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — share of gdp in Sierra Leone peaked at 55.26 % in 2009 and was at its lowest, 25.43 %, in 2024.
Sierra Leone ranks 20th of 199 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Share of GDP in Sierra Leone, year by year
| Year | % | Change |
|---|---|---|
| 1970 | 26.51 % | — |
| 1971 | 26.64 % | +0.5% |
| 1972 | 26.87 % | +0.8% |
| 1973 | 27.29 % | +1.6% |
| 1974 | 30 % | +9.9% |
| 1975 | 33.26 % | +10.9% |
| 1976 | 35.5 % | +6.7% |
| 1977 | 35.29 % | -0.6% |
| 1978 | 32.95 % | -6.6% |
| 1979 | 31.19 % | -5.4% |
| 1980 | 30.07 % | -3.6% |
| 1981 | 31.46 % | +4.6% |
| 1982 | 34.22 % | +8.8% |
| 1983 | 36.48 % | +6.6% |
| 1984 | 40.01 % | +9.7% |
| 1985 | 39.07 % | -2.3% |
| 1986 | 37.51 % | -4.0% |
| 1987 | 38.09 % | +1.5% |
| 1988 | 37.17 % | -2.4% |
| 1989 | 35.68 % | -4.0% |
| 1990 | 45.67 % | +28.0% |
| 1991 | 46.08 % | +0.9% |
| 1992 | 46.06 % | -0.0% |
| 1993 | 45.58 % | -1.1% |
| 1994 | 46.23 % | +1.4% |
| 1995 | 45.34 % | -1.9% |
| 1996 | 46.38 % | +2.3% |
| 1997 | 47.68 % | +2.8% |
| 1998 | 46.73 % | -2.0% |
| 1999 | 47.08 % | +0.8% |
| 2000 | 46.02 % | -2.2% |
| 2001 | 45.14 % | -1.9% |
| 2002 | 46.21 % | +2.4% |
| 2003 | 46.36 % | +0.3% |
| 2004 | 48.49 % | +4.6% |
| 2005 | 49.39 % | +1.9% |
| 2006 | 50.29 % | +1.8% |
| 2007 | 52.18 % | +3.7% |
| 2008 | 53.65 % | +2.8% |
| 2009 | 55.26 % | +3.0% |
| 2010 | 52.94 % | -4.2% |
| 2011 | 54.59 % | +3.1% |
| 2012 | 50.59 % | -7.3% |
| 2013 | 47.98 % | -5.2% |
| 2014 | 51.79 % | +7.9% |
| 2015 | 54.07 % | +4.4% |
| 2016 | 47.14 % | -12.8% |
| 2017 | 43.01 % | -8.8% |
| 2018 | 34.99 % | -18.7% |
| 2019 | 34.55 % | -1.3% |
| 2020 | 35.13 % | +1.7% |
| 2021 | 33.65 % | -4.2% |
| 2022 | 33.77 % | +0.3% |
| 2023 | 29.07 % | -13.9% |
| 2024 | 25.43 % | -12.5% |
Sierra Leone compared with similar countries
- Sierra Leone's 25.43 % is below the median for low income countries, which is 25.84 %, 98% of the median. (22 countries reporting)
- Sierra Leone's 25.43 % is above the median for Sub-Saharan Africa, which is 19.11 %, 1.3× the median. (44 countries reporting)
Biggest year-on-year movements
Years where Value Added (Agriculture, Forestry and Fishing) — Share of GDP in Sierra Leone changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1990 | +28.0% | 35.68 % | 45.67 % |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 30.55 % | 26.51 % | 35.5 % | 10 |
| 1980s | 35.97 % | 30.07 % | 40.01 % | 10 |
| 1990s | 46.28 % | 45.34 % | 47.68 % | 10 |
| 2000s | 49.3 % | 45.14 % | 55.26 % | 10 |
| 2010s | 47.17 % | 34.55 % | 54.59 % | 10 |
| 2020s | 31.41 % | 25.43 % | 35.13 % | 5 |
Countries ranked near Sierra Leone
More environment data for Sierra Leone
- Historical exposure to drought — Land soil moisture anomaly -5.4 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -5.39 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.232 °C (2025)
- Temperature change 1.28 °C (2025)
- Cropland — Area, annual growth rate 2.2 % change on previous year (2024)
- Cropland — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Cropland — Area, per capita 0.0002 1000 ha per person (2024)
- Arable land — Area, annual growth rate 0 % change on previous year (2024)
- Arable land — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — share of gdp in Sierra Leone?
- Value added (agriculture, forestry and fishing) — share of gdp in Sierra Leone was 25.43 % in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — share of gdp recorded in Sierra Leone?
- The highest recorded value was 55.26 % in 2009.
- What is the lowest value added (agriculture, forestry and fishing) — share of gdp recorded in Sierra Leone?
- The lowest recorded value was 25.43 % in 2024.
- How does Sierra Leone rank for value added (agriculture, forestry and fishing) — share of gdp?
- Sierra Leone ranks 20th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — share of gdp rising or falling in Sierra Leone?
- Over the last ten years it is down 50.9%. The long-run trend across the full record is rising.
- Where does this Sierra Leone 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) — Share of GDP 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).