Value Added (Agriculture, Forestry and Fishing) — Value Standard in Sierra Leone
Sierra Leone: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 43,351 million SLC in 2024. ◆ Volatile
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
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Sierra Leone is 43,351 million SLC, measured in 2024. That is the highest value across all 55 years on record.
That represents a change of up 9.2% on the previous year and up 268.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Sierra Leone peaked at 43,351 million SLC in 2024 and was at its lowest, 0.1006 million SLC, in 1970.
Sierra Leone ranks 92nd of 199 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 Sierra Leone, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 0.1006 million SLC | — |
| 1971 | 0.1074 million SLC | +6.7% |
| 1972 | 0.115 million SLC | +7.1% |
| 1973 | 0.1358 million SLC | +18.1% |
| 1974 | 0.1802 million SLC | +32.7% |
| 1975 | 0.2257 million SLC | +25.2% |
| 1976 | 0.2755 million SLC | +22.1% |
| 1977 | 0.3215 million SLC | +16.7% |
| 1978 | 0.3538 million SLC | +10.1% |
| 1979 | 0.3894 million SLC | +10.1% |
| 1980 | 0.4206 million SLC | +8.0% |
| 1981 | 0.5209 million SLC | +23.8% |
| 1982 | 0.6808 million SLC | +30.7% |
| 1983 | 0.9601 million SLC | +41.0% |
| 1984 | 1.72 million SLC | +79.0% |
| 1985 | 2.74 million SLC | +59.4% |
| 1986 | 5.83 million SLC | +112.8% |
| 1987 | 10.62 million SLC | +82.2% |
| 1988 | 15.51 million SLC | +46.1% |
| 1989 | 25.85 million SLC | +66.7% |
| 1990 | 60.81 million SLC | +135.2% |
| 1991 | 143.68 million SLC | +136.3% |
| 1992 | 211.74 million SLC | +47.4% |
| 1993 | 269.15 million SLC | +27.1% |
| 1994 | 334.8 million SLC | +24.4% |
| 1995 | 403.56 million SLC | +20.5% |
| 1996 | 544.26 million SLC | +34.9% |
| 1997 | 538.55 million SLC | -1.0% |
| 1998 | 664.9 million SLC | +23.5% |
| 1999 | 769.54 million SLC | +15.7% |
| 2000 | 828.62 million SLC | +7.7% |
| 2001 | 977.58 million SLC | +18.0% |
| 2002 | 1,216 million SLC | +24.4% |
| 2003 | 1,508 million SLC | +24.1% |
| 2004 | 1,897 million SLC | +25.8% |
| 2005 | 2,356 million SLC | +24.2% |
| 2006 | 2,808 million SLC | +19.2% |
| 2007 | 3,362 million SLC | +19.7% |
| 2008 | 4,008 million SLC | +19.2% |
| 2009 | 4,591 million SLC | +14.5% |
| 2010 | 5,430 million SLC | +18.3% |
| 2011 | 6,987 million SLC | +28.7% |
| 2012 | 8,356 million SLC | +19.6% |
| 2013 | 10,229 million SLC | +22.4% |
| 2014 | 11,751 million SLC | +14.9% |
| 2015 | 13,052 million SLC | +11.1% |
| 2016 | 14,325 million SLC | +9.8% |
| 2017 | 16,522 million SLC | +15.3% |
| 2018 | 17,733 million SLC | +7.3% |
| 2019 | 20,306 million SLC | +14.5% |
| 2020 | 23,096 million SLC | +13.7% |
| 2021 | 25,172 million SLC | +9.0% |
| 2022 | 33,769 million SLC | +34.2% |
| 2023 | 39,712 million SLC | +17.6% |
| 2024 | 43,351 million SLC | +9.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.2205 million SLC | 0.1006 million SLC | 0.3894 million SLC | 10 |
| 1980s | 6.49 million SLC | 0.4206 million SLC | 25.85 million SLC | 10 |
| 1990s | 394.1 million SLC | 60.81 million SLC | 769.54 million SLC | 10 |
| 2000s | 2,355 million SLC | 828.62 million SLC | 4,591 million SLC | 10 |
| 2010s | 12,469 million SLC | 5,430 million SLC | 20,306 million SLC | 10 |
| 2020s | 33,020 million SLC | 23,096 million SLC | 43,351 million SLC | 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)
- Paper and paperboard — Import quantity, annual growth rate -31.66 % 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 0.0003 t per person (2024)
- Paper and paperboard — Import value, annual growth rate -31.69 % 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 Sierra Leone?
- Value added (agriculture, forestry and fishing) — value standard in Sierra Leone was 43,351 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 43,351 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 0.1006 million SLC in 1970.
- How does Sierra Leone rank for value added (agriculture, forestry and fishing) — value standard?
- Sierra Leone ranks 92nd out of 199 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 268.9%. The long-run trend across the full record is volatile.
- 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. 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).