Value Added (Agriculture, Forestry and Fishing) — Value Standard in Senegal
Senegal: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 3.08 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Senegal, 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 Senegal is 3.08 million million SLC, measured in 2024.
The figure is down 6.5% on the previous year and up 135.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Senegal peaked at 3.30 million million SLC in 2023 and was at its lowest, 62,204 million SLC, in 1971.
Senegal ranks 38th of 199 countries on this measure, in the top quarter.
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 Senegal, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 69,409 million SLC | — |
| 1971 | 62,204 million SLC | -10.4% |
| 1972 | 80,937 million SLC | +30.1% |
| 1973 | 75,533 million SLC | -6.7% |
| 1974 | 96,908 million SLC | +28.3% |
| 1975 | 147,464 million SLC | +52.2% |
| 1976 | 166,677 million SLC | +13.0% |
| 1977 | 159,112 million SLC | -4.5% |
| 1978 | 125,608 million SLC | -21.1% |
| 1979 | 167,638 million SLC | +33.5% |
| 1980 | 144,157 million SLC | -14.0% |
| 1981 | 145,488 million SLC | +0.9% |
| 1982 | 223,074 million SLC | +53.3% |
| 1983 | 245,829 million SLC | +10.2% |
| 1984 | 209,154 million SLC | -14.9% |
| 1985 | 262,774 million SLC | +25.6% |
| 1986 | 351,737 million SLC | +33.9% |
| 1987 | 362,510 million SLC | +3.1% |
| 1988 | 403,058 million SLC | +11.2% |
| 1989 | 346,048 million SLC | -14.1% |
| 1990 | 373,282 million SLC | +7.9% |
| 1991 | 359,000 million SLC | -3.8% |
| 1992 | 365,172 million SLC | +1.7% |
| 1993 | 353,069 million SLC | -3.3% |
| 1994 | 460,551 million SLC | +30.4% |
| 1995 | 545,883 million SLC | +18.5% |
| 1996 | 593,088 million SLC | +8.6% |
| 1997 | 607,313 million SLC | +2.4% |
| 1998 | 653,461 million SLC | +7.6% |
| 1999 | 705,069 million SLC | +7.9% |
| 2000 | 702,056 million SLC | -0.4% |
| 2001 | 774,642 million SLC | +10.3% |
| 2002 | 650,364 million SLC | -16.0% |
| 2003 | 787,716 million SLC | +21.1% |
| 2004 | 754,668 million SLC | -4.2% |
| 2005 | 881,162 million SLC | +16.8% |
| 2006 | 818,617 million SLC | -7.1% |
| 2007 | 820,244 million SLC | +0.2% |
| 2008 | 1.10 million million SLC | +34.6% |
| 2009 | 1.22 million million SLC | +10.8% |
| 2010 | 1.27 million million SLC | +4.0% |
| 2011 | 1.09 million million SLC | -14.5% |
| 2012 | 1.27 million million SLC | +17.0% |
| 2013 | 1.28 million million SLC | +0.9% |
| 2014 | 1.31 million million SLC | +1.9% |
| 2015 | 1.50 million million SLC | +14.9% |
| 2016 | 1.63 million million SLC | +8.4% |
| 2017 | 1.83 million million SLC | +12.3% |
| 2018 | 1.92 million million SLC | +5.4% |
| 2019 | 2.04 million million SLC | +6.1% |
| 2020 | 2.28 million million SLC | +11.6% |
| 2021 | 2.37 million million SLC | +4.1% |
| 2022 | 2.82 million million SLC | +18.6% |
| 2023 | 3.30 million million SLC | +17.1% |
| 2024 | 3.08 million million SLC | -6.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 115,149 million SLC | 62,204 million SLC | 167,638 million SLC | 10 |
| 1980s | 269,383 million SLC | 144,157 million SLC | 403,058 million SLC | 10 |
| 1990s | 501,589 million SLC | 353,069 million SLC | 705,069 million SLC | 10 |
| 2000s | 851,656 million SLC | 650,364 million SLC | 1.22 million million SLC | 10 |
| 2010s | 1.51 million million SLC | 1.09 million million SLC | 2.04 million million SLC | 10 |
| 2020s | 2.77 million million SLC | 2.28 million million SLC | 3.30 million million SLC | 5 |
Countries ranked near Senegal
More environment data for Senegal
- Historical exposure to drought — Land soil moisture anomaly -1.15 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -2.06 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.432 °C (2025)
- Temperature change 1.48 °C (2025)
- Newsprint — Import quantity, gaps filled 5,180 t (2024)
- Newsprint — Import quantity, annual growth rate 88.09 % change on previous year (2024)
- Newsprint — Import value, gaps filled 3,881 1000 USD (2024)
- Newsprint — Import value, annual growth rate 71.65 % change on previous year (2024)
- Printing and writing papers — Import quantity, annual growth rate -34.17 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Senegal?
- Value added (agriculture, forestry and fishing) — value standard in Senegal was 3.08 million 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 Senegal?
- The highest recorded value was 3.30 million million SLC in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Senegal?
- The lowest recorded value was 62,204 million SLC in 1971.
- How does Senegal rank for value added (agriculture, forestry and fishing) — value standard?
- Senegal ranks 38th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Senegal?
- Over the last ten years it is up 135.9%. The long-run trend across the full record is volatile.
- Where does this Senegal 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).