Value Added (Agriculture, Forestry and Fishing) — Value Standard in Sierra Leone
Sierra Leone: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 15,981 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Sierra Leone, 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 Sierra Leone stood at 15,981 million SLC. 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 standard in Sierra Leone peaked at 15,981 million SLC in 2024 and was at its lowest, 3,926 million SLC, in 1999.
Sierra Leone ranks 101st of 191 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 Standard in Sierra Leone, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 4,856 million SLC | — |
| 1971 | 4,833 million SLC | -0.5% |
| 1972 | 4,855 million SLC | +0.5% |
| 1973 | 4,877 million SLC | +0.5% |
| 1974 | 4,966 million SLC | +1.8% |
| 1975 | 5,208 million SLC | +4.9% |
| 1976 | 5,473 million SLC | +5.1% |
| 1977 | 5,672 million SLC | +3.6% |
| 1978 | 6,003 million SLC | +5.8% |
| 1979 | 6,180 million SLC | +2.9% |
| 1980 | 6,113 million SLC | -1.1% |
| 1981 | 6,290 million SLC | +2.9% |
| 1982 | 6,312 million SLC | +0.4% |
| 1983 | 6,246 million SLC | -1.0% |
| 1984 | 6,996 million SLC | +12.0% |
| 1985 | 7,566 million SLC | +8.1% |
| 1986 | 7,719 million SLC | +2.0% |
| 1987 | 8,271 million SLC | +7.1% |
| 1988 | 8,400 million SLC | +1.6% |
| 1989 | 8,461 million SLC | +0.7% |
| 1990 | 8,707 million SLC | +2.9% |
| 1991 | 8,084 million SLC | -7.2% |
| 1992 | 7,302 million SLC | -9.7% |
| 1993 | 7,228 million SLC | -1.0% |
| 1994 | 7,589 million SLC | +5.0% |
| 1995 | 6,697 million SLC | -11.8% |
| 1996 | 5,152 million SLC | -23.1% |
| 1997 | 4,365 million SLC | -15.3% |
| 1998 | 4,241 million SLC | -2.8% |
| 1999 | 3,926 million SLC | -7.4% |
| 2000 | 3,984 million SLC | +1.5% |
| 2001 | 4,618 million SLC | +15.9% |
| 2002 | 6,083 million SLC | +31.7% |
| 2003 | 6,659 million SLC | +9.5% |
| 2004 | 7,245 million SLC | +8.8% |
| 2005 | 7,739 million SLC | +6.8% |
| 2006 | 8,201 million SLC | +6.0% |
| 2007 | 9,288 million SLC | +13.3% |
| 2008 | 9,909 million SLC | +6.7% |
| 2009 | 10,307 million SLC | +4.0% |
| 2010 | 10,670 million SLC | +3.5% |
| 2011 | 11,191 million SLC | +4.9% |
| 2012 | 11,622 million SLC | +3.8% |
| 2013 | 12,151 million SLC | +4.6% |
| 2014 | 12,249 million SLC | +0.8% |
| 2015 | 13,052 million SLC | +6.6% |
| 2016 | 13,454 million SLC | +3.1% |
| 2017 | 13,664 million SLC | +1.6% |
| 2018 | 13,285 million SLC | -2.8% |
| 2019 | 14,103 million SLC | +6.2% |
| 2020 | 14,477 million SLC | +2.7% |
| 2021 | 14,800 million SLC | +2.2% |
| 2022 | 15,237 million SLC | +3.0% |
| 2023 | 15,606 million SLC | +2.4% |
| 2024 | 15,981 million SLC | +2.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 5,292 million SLC | 4,833 million SLC | 6,180 million SLC | 10 |
| 1980s | 7,237 million SLC | 6,113 million SLC | 8,461 million SLC | 10 |
| 1990s | 6,329 million SLC | 3,926 million SLC | 8,707 million SLC | 10 |
| 2000s | 7,403 million SLC | 3,984 million SLC | 10,307 million SLC | 10 |
| 2010s | 12,544 million SLC | 10,670 million SLC | 14,103 million SLC | 10 |
| 2020s | 15,220 million SLC | 14,477 million SLC | 15,981 million SLC | 5 |
Countries ranked near Sierra Leone
- 98 Mauritius 18,403 million SLC compare
- 99 Gambia 18,084 million SLC compare
- 100 Israel 17,388 million SLC compare
- 102 Tajikistan 15,106 million SLC compare
- 103 United Arab Emirates 15,040 million SLC compare
- 104 Netherlands (Kingdom of the) 13,497 million SLC compare
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)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 0.0002 m3 per person (2024)
- Sawnwood — Export value, annual growth rate 402.11 % change on previous year (2024)
- Sawnwood — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood — Export value, per capita 0.0001 1000 USD per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Sierra Leone?
- Value added (agriculture, forestry and fishing) — value standard in Sierra Leone was 15,981 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 Sierra Leone?
- The highest recorded value was 15,981 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Sierra Leone?
- The lowest recorded value was 3,926 million SLC in 1999.
- How does Sierra Leone rank for value added (agriculture, forestry and fishing) — value standard?
- Sierra Leone ranks 101st out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard 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 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).