Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Sierra Leone
Sierra Leone: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 3,145 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Sierra Leone, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Sierra Leone recorded 3,145 million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 2.4% on the previous year and up 30.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Sierra Leone peaked at 3,145 million USD in 2024 and was at its lowest, 772.76 million USD, in 1999.
Sierra Leone ranks 91st of 200 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Sierra Leone, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 955.68 million USD | — |
| 1971 | 951.3 million USD | -0.5% |
| 1972 | 955.64 million USD | +0.5% |
| 1973 | 959.99 million USD | +0.5% |
| 1974 | 977.36 million USD | +1.8% |
| 1975 | 1,025 million USD | +4.9% |
| 1976 | 1,077 million USD | +5.1% |
| 1977 | 1,116 million USD | +3.6% |
| 1978 | 1,182 million USD | +5.8% |
| 1979 | 1,216 million USD | +2.9% |
| 1980 | 1,203 million USD | -1.1% |
| 1981 | 1,238 million USD | +2.9% |
| 1982 | 1,242 million USD | +0.4% |
| 1983 | 1,229 million USD | -1.0% |
| 1984 | 1,377 million USD | +12.0% |
| 1985 | 1,489 million USD | +8.1% |
| 1986 | 1,519 million USD | +2.0% |
| 1987 | 1,628 million USD | +7.1% |
| 1988 | 1,653 million USD | +1.6% |
| 1989 | 1,665 million USD | +0.7% |
| 1990 | 1,714 million USD | +2.9% |
| 1991 | 1,591 million USD | -7.2% |
| 1992 | 1,437 million USD | -9.7% |
| 1993 | 1,423 million USD | -1.0% |
| 1994 | 1,494 million USD | +5.0% |
| 1995 | 1,318 million USD | -11.8% |
| 1996 | 1,014 million USD | -23.1% |
| 1997 | 859.04 million USD | -15.3% |
| 1998 | 834.79 million USD | -2.8% |
| 1999 | 772.76 million USD | -7.4% |
| 2000 | 784.16 million USD | +1.5% |
| 2001 | 908.86 million USD | +15.9% |
| 2002 | 1,197 million USD | +31.7% |
| 2003 | 1,311 million USD | +9.5% |
| 2004 | 1,426 million USD | +8.8% |
| 2005 | 1,523 million USD | +6.8% |
| 2006 | 1,614 million USD | +6.0% |
| 2007 | 1,828 million USD | +13.3% |
| 2008 | 1,950 million USD | +6.7% |
| 2009 | 2,029 million USD | +4.0% |
| 2010 | 2,100 million USD | +3.5% |
| 2011 | 2,203 million USD | +4.9% |
| 2012 | 2,287 million USD | +3.8% |
| 2013 | 2,392 million USD | +4.6% |
| 2014 | 2,411 million USD | +0.8% |
| 2015 | 2,569 million USD | +6.6% |
| 2016 | 2,648 million USD | +3.1% |
| 2017 | 2,689 million USD | +1.6% |
| 2018 | 2,615 million USD | -2.8% |
| 2019 | 2,776 million USD | +6.2% |
| 2020 | 2,849 million USD | +2.7% |
| 2021 | 2,913 million USD | +2.2% |
| 2022 | 2,999 million USD | +3.0% |
| 2023 | 3,072 million USD | +2.4% |
| 2024 | 3,145 million USD | +2.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,042 million USD | 951.3 million USD | 1,216 million USD | 10 |
| 1980s | 1,424 million USD | 1,203 million USD | 1,665 million USD | 10 |
| 1990s | 1,246 million USD | 772.76 million USD | 1,714 million USD | 10 |
| 2000s | 1,457 million USD | 784.16 million USD | 2,029 million USD | 10 |
| 2010s | 2,469 million USD | 2,100 million USD | 2,776 million USD | 10 |
| 2020s | 2,996 million USD | 2,849 million USD | 3,145 million USD | 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)
- Printing and writing papers — Import quantity, annual growth rate -38.14 % change on previous year (2024)
- Printing and writing papers — Import quantity, per capita 0.0002 t per person (2024)
- Printing and writing papers — Import value, annual growth rate -42.16 % change on previous year (2024)
- Printing and writing papers — Import value, per capita 0.0002 1000 USD per person (2024)
- Other paper and paperboard — Import quantity, annual growth rate -18.59 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Sierra Leone?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Sierra Leone was 3,145 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Sierra Leone?
- The highest recorded value was 3,145 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Sierra Leone?
- The lowest recorded value was 772.76 million USD in 1999.
- How does Sierra Leone rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Sierra Leone ranks 91st out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Sierra Leone?
- Over the last ten years it is up 30.5%. 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) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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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).