Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Chad

Chad: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 75,344 million SLC in 2023. ◆ Volatile

Latest (2023)
75,344 million SLC
Change on year
up 11.2%
World rank
38th
of 181 countries
All-time high
75,344 million SLC
in 2023
All-time low
9,615 million SLC
in 1997
Years of data
29
1995–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Chad, 1995–2023

020.0k40.0k60.0k80.0k1995200920231995: 9.8k million SLC1996: 9.7k million SLC1997: 9.6k million SLC1998: 9.6k million SLC1999: 9.6k million SLC2000: 9.6k million SLC2001: 9.7k million SLC2002: 9.9k million SLC2003: 10.4k million SLC2004: 11.3k million SLC2005: 12.5k million SLC2006: 14.1k million SLC2007: 15.8k million SLC2008: 17.7k million SLC2009: 19.9k million SLC2010: 23.0k million SLC2011: 26.1k million SLC2012: 29.2k million SLC2013: 33.1k million SLC2014: 37.2k million SLC2015: 41.8k million SLC2016: 46.9k million SLC2017: 51.6k million SLC2018: 56.3k million SLC2019: 60.0k million SLC2020: 62.5k million SLC2021: 65.1k million SLC2022: 67.8k million SLC2023: 75.3k million SLC

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

Chad recorded 75,344 million SLC for consumption of fixed capital (agriculture, forestry and fishing) in 2023. That is the highest value across all 29 years on record.

That represents a change of up 11.2% on the previous year and up 127.3% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Chad peaked at 75,344 million SLC in 2023 and was at its lowest, 9,615 million SLC, in 1997.

That places Chad 38th out of 181 countries with data for 2023, putting it in the top quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Chad, year by year

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Chad, 1995 to 2023.
Year million SLC Change
1995 9,754 million SLC
1996 9,655 million SLC -1.0%
1997 9,615 million SLC -0.4%
1998 9,634 million SLC +0.2%
1999 9,645 million SLC +0.1%
2000 9,640 million SLC -0.1%
2001 9,716 million SLC +0.8%
2002 9,927 million SLC +2.2%
2003 10,414 million SLC +4.9%
2004 11,287 million SLC +8.4%
2005 12,526 million SLC +11.0%
2006 14,109 million SLC +12.6%
2007 15,832 million SLC +12.2%
2008 17,681 million SLC +11.7%
2009 19,917 million SLC +12.6%
2010 22,994 million SLC +15.4%
2011 26,097 million SLC +13.5%
2012 29,156 million SLC +11.7%
2013 33,142 million SLC +13.7%
2014 37,228 million SLC +12.3%
2015 41,844 million SLC +12.4%
2016 46,941 million SLC +12.2%
2017 51,599 million SLC +9.9%
2018 56,291 million SLC +9.1%
2019 59,974 million SLC +6.5%
2020 62,517 million SLC +4.2%
2021 65,053 million SLC +4.1%
2022 67,764 million SLC +4.2%
2023 75,344 million SLC +11.2%

Averages by decade

DecadeAverage LowestHighest Years
1990s 9,661 million SLC 9,615 million SLC 9,754 million SLC 5
2000s 13,105 million SLC 9,640 million SLC 19,917 million SLC 10
2010s 40,527 million SLC 22,994 million SLC 59,974 million SLC 10
2020s 67,670 million SLC 62,517 million SLC 75,344 million SLC 4

Countries ranked near Chad

  1. 35 Angola 100,486 million SLC compare
  2. 36 Sri Lanka 99,830 million SLC compare
  3. 37 Lebanon 95,547 million SLC compare
  4. 39 Rwanda 70,975 million SLC compare
  5. 40 Congo 64,407 million SLC compare
  6. 41 Kenya 57,660 million SLC compare

See the full ranking of 194 places →

More environment data for Chad

All data for Chad →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Chad?
Consumption of fixed capital (agriculture, forestry and fishing) in Chad was 75,344 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest consumption of fixed capital (agriculture, forestry and fishing) recorded in Chad?
The highest recorded value was 75,344 million SLC in 2023.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Chad?
The lowest recorded value was 9,615 million SLC in 1997.
How does Chad rank for consumption of fixed capital (agriculture, forestry and fishing)?
Chad ranks 38th out of 181 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Chad?
Over the last ten years it is up 127.3%. 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 Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Chad. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-standard-local-2/chad/

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About this data

Indicator
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
194 places, 5,511 data points, 1995–2023
Last refreshed

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.