Value Added (Agriculture, Forestry and Fishing) — Value Standard in Tunisia
Tunisia: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 15,575 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Tunisia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Tunisia recorded 15,575 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 9.0% on the previous year and up 106.0% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Tunisia peaked at 15,575 million SLC in 2024 and was at its lowest, 120.21 million SLC, in 1970.
Tunisia ranks 116th 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 Tunisia, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 120.21 million SLC | — |
| 1971 | 159.53 million SLC | +32.7% |
| 1972 | 213.9 million SLC | +34.1% |
| 1973 | 212.31 million SLC | -0.7% |
| 1974 | 270.78 million SLC | +27.5% |
| 1975 | 300.57 million SLC | +11.0% |
| 1976 | 320.56 million SLC | +6.6% |
| 1977 | 323.83 million SLC | +1.0% |
| 1978 | 350.08 million SLC | +8.1% |
| 1979 | 369.6 million SLC | +5.6% |
| 1980 | 467.3 million SLC | +26.4% |
| 1981 | 531.28 million SLC | +13.7% |
| 1982 | 590.32 million SLC | +11.1% |
| 1983 | 628.61 million SLC | +6.5% |
| 1984 | 806.08 million SLC | +28.2% |
| 1985 | 1,032 million SLC | +28.0% |
| 1986 | 864.36 million SLC | -16.2% |
| 1987 | 1,231 million SLC | +42.4% |
| 1988 | 949.64 million SLC | -22.8% |
| 1989 | 1,149 million SLC | +21.0% |
| 1990 | 1,588 million SLC | +38.2% |
| 1991 | 1,879 million SLC | +18.3% |
| 1992 | 2,064 million SLC | +9.9% |
| 1993 | 2,014 million SLC | -2.4% |
| 1994 | 1,855 million SLC | -7.9% |
| 1995 | 1,810 million SLC | -2.4% |
| 1996 | 2,442 million SLC | +34.9% |
| 1997 | 2,578 million SLC | +5.5% |
| 1998 | 2,632 million SLC | +2.1% |
| 1999 | 2,887 million SLC | +9.7% |
| 2000 | 2,945 million SLC | +2.0% |
| 2001 | 2,991 million SLC | +1.6% |
| 2002 | 2,730 million SLC | -8.7% |
| 2003 | 3,287 million SLC | +20.4% |
| 2004 | 3,846 million SLC | +17.0% |
| 2005 | 3,840 million SLC | -0.2% |
| 2006 | 4,246 million SLC | +10.6% |
| 2007 | 4,309 million SLC | +1.5% |
| 2008 | 4,338 million SLC | +0.7% |
| 2009 | 4,962 million SLC | +14.4% |
| 2010 | 4,751 million SLC | -4.3% |
| 2011 | 5,590 million SLC | +17.7% |
| 2012 | 6,614 million SLC | +18.3% |
| 2013 | 6,961 million SLC | +5.2% |
| 2014 | 7,561 million SLC | +8.6% |
| 2015 | 8,267 million SLC | +9.3% |
| 2016 | 8,124 million SLC | -1.7% |
| 2017 | 9,167 million SLC | +12.8% |
| 2018 | 11,173 million SLC | +21.9% |
| 2019 | 12,010 million SLC | +7.5% |
| 2020 | 12,418 million SLC | +3.4% |
| 2021 | 13,227 million SLC | +6.5% |
| 2022 | 14,943 million SLC | +13.0% |
| 2023 | 14,283 million SLC | -4.4% |
| 2024 | 15,575 million SLC | +9.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 264.14 million SLC | 120.21 million SLC | 369.6 million SLC | 10 |
| 1980s | 824.92 million SLC | 467.3 million SLC | 1,231 million SLC | 10 |
| 1990s | 2,175 million SLC | 1,588 million SLC | 2,887 million SLC | 10 |
| 2000s | 3,749 million SLC | 2,730 million SLC | 4,962 million SLC | 10 |
| 2010s | 8,022 million SLC | 4,751 million SLC | 12,010 million SLC | 10 |
| 2020s | 14,090 million SLC | 12,418 million SLC | 15,575 million SLC | 5 |
Countries ranked near Tunisia
- 113 Zambia 16,838 million SLC compare
- 114 Belarus 16,790 million SLC compare
- 115 United Kingdom of Great Britain and Northern Ireland 16,060 million SLC compare
- 117 United Arab Emirates 13,913 million SLC compare
- 118 Yemen Ar Rp 13,133 million SLC compare
- 119 Suriname 12,871 million SLC compare
More environment data for Tunisia
- Historical exposure to drought — Land soil moisture anomaly -14.25 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.62 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.421 °C (2025)
- Temperature change 2.02 °C (2025)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Paper and paperboard — Import value, per capita 0.0255 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate 111.07 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.0105 t per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Tunisia?
- Value added (agriculture, forestry and fishing) — value standard in Tunisia was 15,575 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 Tunisia?
- The highest recorded value was 15,575 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Tunisia?
- The lowest recorded value was 120.21 million SLC in 1970.
- How does Tunisia rank for value added (agriculture, forestry and fishing) — value standard?
- Tunisia ranks 116th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Tunisia?
- Over the last ten years it is up 106.0%. The long-run trend across the full record is volatile.
- Where does this Tunisia 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).