Value Added (Agriculture, Forestry and Fishing) — Value Standard in Senegal
Senegal: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 2.41 million million SLC in 2024. ▲ Rising
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
In 2024, value added (agriculture, forestry and fishing) — value standard in Senegal stood at 2.41 million million SLC.
That represents a change of down 1.0% on the previous year and up 77.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Senegal peaked at 2.43 million million SLC in 2023 and was at its lowest, 563,484 million SLC, in 1971.
That places Senegal 30th out of 191 countries with data for 2024, putting it in the top quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Senegal, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 674,729 million SLC | — |
| 1971 | 563,484 million SLC | -16.5% |
| 1972 | 697,704 million SLC | +23.8% |
| 1973 | 585,249 million SLC | -16.1% |
| 1974 | 720,679 million SLC | +23.1% |
| 1975 | 750,908 million SLC | +4.2% |
| 1976 | 860,340 million SLC | +14.6% |
| 1977 | 801,090 million SLC | -6.9% |
| 1978 | 611,851 million SLC | -23.6% |
| 1979 | 778,115 million SLC | +27.2% |
| 1980 | 636,760 million SLC | -18.2% |
| 1981 | 600,298 million SLC | -5.7% |
| 1982 | 749,052 million SLC | +24.8% |
| 1983 | 785,249 million SLC | +4.8% |
| 1984 | 647,593 million SLC | -17.5% |
| 1985 | 699,379 million SLC | +8.0% |
| 1986 | 770,189 million SLC | +10.1% |
| 1987 | 791,326 million SLC | +2.7% |
| 1988 | 867,156 million SLC | +9.6% |
| 1989 | 768,603 million SLC | -11.4% |
| 1990 | 840,734 million SLC | +9.4% |
| 1991 | 797,931 million SLC | -5.1% |
| 1992 | 811,671 million SLC | +1.7% |
| 1993 | 769,396 million SLC | -5.2% |
| 1994 | 840,999 million SLC | +9.3% |
| 1995 | 861,343 million SLC | +2.4% |
| 1996 | 911,544 million SLC | +5.8% |
| 1997 | 887,048 million SLC | -2.7% |
| 1998 | 901,553 million SLC | +1.6% |
| 1999 | 1.07 million million SLC | +19.1% |
| 2000 | 1.08 million million SLC | +0.5% |
| 2001 | 1.10 million million SLC | +1.8% |
| 2002 | 845,991 million SLC | -23.0% |
| 2003 | 999,716 million SLC | +18.2% |
| 2004 | 1.03 million million SLC | +3.4% |
| 2005 | 1.15 million million SLC | +11.6% |
| 2006 | 1.05 million million SLC | -9.0% |
| 2007 | 975,691 million SLC | -7.1% |
| 2008 | 1.18 million million SLC | +21.4% |
| 2009 | 1.35 million million SLC | +14.0% |
| 2010 | 1.41 million million SLC | +4.8% |
| 2011 | 1.19 million million SLC | -15.7% |
| 2012 | 1.31 million million SLC | +9.8% |
| 2013 | 1.33 million million SLC | +1.9% |
| 2014 | 1.36 million million SLC | +1.6% |
| 2015 | 1.50 million million SLC | +10.6% |
| 2016 | 1.58 million million SLC | +5.4% |
| 2017 | 1.76 million million SLC | +11.5% |
| 2018 | 1.91 million million SLC | +8.1% |
| 2019 | 1.99 million million SLC | +4.3% |
| 2020 | 2.23 million million SLC | +12.2% |
| 2021 | 2.25 million million SLC | +0.8% |
| 2022 | 2.26 million million SLC | +0.3% |
| 2023 | 2.43 million million SLC | +7.7% |
| 2024 | 2.41 million million SLC | -1.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 704,415 million SLC | 563,484 million SLC | 860,340 million SLC | 10 |
| 1980s | 731,560 million SLC | 600,298 million SLC | 867,156 million SLC | 10 |
| 1990s | 869,584 million SLC | 769,396 million SLC | 1.07 million million SLC | 10 |
| 2000s | 1.08 million million SLC | 845,991 million SLC | 1.35 million million SLC | 10 |
| 2010s | 1.53 million million SLC | 1.19 million million SLC | 1.99 million million SLC | 10 |
| 2020s | 2.32 million million SLC | 2.23 million million SLC | 2.43 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)
- Sawnwood, non-coniferous — Export quantity, annual growth rate 18.62 % change on previous year (2024)
- Sawnwood, non-coniferous — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Export quantity, per capita 0 m3 per person (2024)
- Sawnwood, non-coniferous — Export value, annual growth rate -50.41 % change on previous year (2024)
- Sawnwood, non-coniferous — Export 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 Senegal?
- Value added (agriculture, forestry and fishing) — value standard in Senegal was 2.41 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 2.43 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 563,484 million SLC in 1971.
- How does Senegal rank for value added (agriculture, forestry and fishing) — value standard?
- Senegal ranks 30th out of 191 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 77.5%. The long-run trend across the full record is rising.
- 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, 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).