Value Added (Agriculture, Forestry and Fishing) — Value Standard in Chad
Chad: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 4.40 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Chad, 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 Chad is 4.40 million million SLC, measured in 2024. That is the highest value across all 55 years on record.
That represents a change of up 5.1% on the previous year and up 108.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Chad peaked at 4.40 million million SLC in 2024 and was at its lowest, 308,679 million SLC, in 1981.
Chad ranks 20th of 191 countries on this measure, in the top 10%.
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 Chad, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 433,640 million SLC | — |
| 1971 | 441,819 million SLC | +1.9% |
| 1972 | 411,567 million SLC | -6.8% |
| 1973 | 391,572 million SLC | -4.9% |
| 1974 | 445,324 million SLC | +13.7% |
| 1975 | 521,913 million SLC | +17.2% |
| 1976 | 513,740 million SLC | -1.6% |
| 1977 | 476,364 million SLC | -7.3% |
| 1978 | 472,816 million SLC | -0.7% |
| 1979 | 371,084 million SLC | -21.5% |
| 1980 | 352,212 million SLC | -5.1% |
| 1981 | 308,679 million SLC | -12.4% |
| 1982 | 326,749 million SLC | +5.9% |
| 1983 | 394,524 million SLC | +20.7% |
| 1984 | 374,303 million SLC | -5.1% |
| 1985 | 434,233 million SLC | +16.0% |
| 1986 | 432,240 million SLC | -0.5% |
| 1987 | 433,784 million SLC | +0.4% |
| 1988 | 472,947 million SLC | +9.0% |
| 1989 | 472,862 million SLC | -0.0% |
| 1990 | 476,833 million SLC | +0.8% |
| 1991 | 509,469 million SLC | +6.8% |
| 1992 | 539,446 million SLC | +5.9% |
| 1993 | 496,668 million SLC | -7.9% |
| 1994 | 582,681 million SLC | +17.3% |
| 1995 | 573,536 million SLC | -1.6% |
| 1996 | 595,148 million SLC | +3.8% |
| 1997 | 646,477 million SLC | +8.6% |
| 1998 | 707,611 million SLC | +9.5% |
| 1999 | 682,210 million SLC | -3.6% |
| 2000 | 666,153 million SLC | -2.4% |
| 2001 | 733,607 million SLC | +10.1% |
| 2002 | 729,367 million SLC | -0.6% |
| 2003 | 968,500 million SLC | +32.8% |
| 2004 | 914,597 million SLC | -5.6% |
| 2005 | 1.03 million million SLC | +12.1% |
| 2006 | 1.07 million million SLC | +4.3% |
| 2007 | 1.33 million million SLC | +24.2% |
| 2008 | 1.19 million million SLC | -10.6% |
| 2009 | 1.40 million million SLC | +18.2% |
| 2010 | 1.92 million million SLC | +36.9% |
| 2011 | 1.78 million million SLC | -7.3% |
| 2012 | 1.81 million million SLC | +1.5% |
| 2013 | 1.95 million million SLC | +8.2% |
| 2014 | 2.11 million million SLC | +7.7% |
| 2015 | 2.29 million million SLC | +8.7% |
| 2016 | 3.03 million million SLC | +32.5% |
| 2017 | 3.41 million million SLC | +12.4% |
| 2018 | 3.54 million million SLC | +3.7% |
| 2019 | 3.54 million million SLC | +0.1% |
| 2020 | 3.68 million million SLC | +3.9% |
| 2021 | 3.91 million million SLC | +6.2% |
| 2022 | 3.98 million million SLC | +2.0% |
| 2023 | 4.18 million million SLC | +5.0% |
| 2024 | 4.40 million million SLC | +5.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 447,984 million SLC | 371,084 million SLC | 521,913 million SLC | 10 |
| 1980s | 400,253 million SLC | 308,679 million SLC | 472,947 million SLC | 10 |
| 1990s | 581,008 million SLC | 476,833 million SLC | 707,611 million SLC | 10 |
| 2000s | 1.00 million million SLC | 666,153 million SLC | 1.40 million million SLC | 10 |
| 2010s | 2.54 million million SLC | 1.78 million million SLC | 3.54 million million SLC | 10 |
| 2020s | 4.03 million million SLC | 3.68 million million SLC | 4.40 million million SLC | 5 |
Countries ranked near Chad
More environment data for Chad
- Historical exposure to drought — Land soil moisture anomaly -10.96 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -13.87 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.274 °C (2025)
- Temperature change 1.1 °C (2025)
- Paper and paperboard — Import quantity, annual growth rate -51.57 % 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 t per person (2024)
- Paper and paperboard — Import value, annual growth rate -56.9 % 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 Chad?
- Value added (agriculture, forestry and fishing) — value standard in Chad was 4.40 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 Chad?
- The highest recorded value was 4.40 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Chad?
- The lowest recorded value was 308,679 million SLC in 1981.
- How does Chad rank for value added (agriculture, forestry and fishing) — value standard?
- Chad ranks 20th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Chad?
- Over the last ten years it is up 108.9%. The long-run trend across the full record is volatile.
- Where does this Chad 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).