Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Chad

Chad: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 123,313 million SLC in 2023. ◆ Volatile

Latest (2023)
123,313 million SLC
Change on year
up 7.7%
World rank
40th
of 181 countries
All-time high
134,176 million SLC
in 2018
All-time low
7,731 million SLC
in 1995
Years of data
29
1995–2023

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Chad, 1995–2023

050.0k100.0k150.0k1995200920231995: 7.7k million SLC1996: 8.5k million SLC1997: 9.5k million SLC1998: 10.3k million SLC1999: 9.3k million SLC2000: 9.8k million SLC2001: 12.0k million SLC2002: 14.5k million SLC2003: 21.6k million SLC2004: 28.3k million SLC2005: 35.5k million SLC2006: 42.3k million SLC2007: 43.3k million SLC2008: 49.9k million SLC2009: 60.0k million SLC2010: 82.4k million SLC2011: 67.0k million SLC2012: 87.2k million SLC2013: 104.0k million SLC2014: 98.5k million SLC2015: 129.9k million SLC2016: 123.7k million SLC2017: 125.4k million SLC2018: 134.2k million SLC2019: 101.2k million SLC2020: 103.5k million SLC2021: 106.0k million SLC2022: 114.5k million SLC2023: 123.3k million SLC

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

Analysis

Chad recorded 123,313 million SLC for gross fixed capital formation (agriculture, forestry and fishing) in 2023.

That represents a change of up 7.7% on the previous year and up 18.5% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Chad peaked at 134,176 million SLC in 2018 and was at its lowest, 7,731 million SLC, in 1995.

Chad ranks 40th of 181 countries on this measure, in the top quarter.

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

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Chad, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Chad, 1995 to 2023.
Year million SLC Change
1995 7,731 million SLC
1996 8,477 million SLC +9.7%
1997 9,513 million SLC +12.2%
1998 10,336 million SLC +8.6%
1999 9,305 million SLC -10.0%
2000 9,814 million SLC +5.5%
2001 11,992 million SLC +22.2%
2002 14,483 million SLC +20.8%
2003 21,586 million SLC +49.0%
2004 28,348 million SLC +31.3%
2005 35,528 million SLC +25.3%
2006 42,306 million SLC +19.1%
2007 43,350 million SLC +2.5%
2008 49,930 million SLC +15.2%
2009 59,971 million SLC +20.1%
2010 82,419 million SLC +37.4%
2011 67,010 million SLC -18.7%
2012 87,150 million SLC +30.1%
2013 104,020 million SLC +19.4%
2014 98,460 million SLC -5.3%
2015 129,889 million SLC +31.9%
2016 123,699 million SLC -4.8%
2017 125,432 million SLC +1.4%
2018 134,176 million SLC +7.0%
2019 101,183 million SLC -24.6%
2020 103,526 million SLC +2.3%
2021 106,032 million SLC +2.4%
2022 114,459 million SLC +7.9%
2023 123,313 million SLC +7.7%

Averages by decade

DecadeAverage LowestHighest Years
1990s 9,072 million SLC 7,731 million SLC 10,336 million SLC 5
2000s 31,731 million SLC 9,814 million SLC 59,971 million SLC 10
2010s 105,344 million SLC 67,010 million SLC 134,176 million SLC 10
2020s 111,832 million SLC 103,526 million SLC 123,313 million SLC 4

Countries ranked near Chad

  1. 37 Malawi 155,248 million SLC compare
  2. 38 Kenya 139,620 million SLC compare
  3. 39 Gabon 128,332 million SLC compare
  4. 41 Armenia 104,544 million SLC compare
  5. 42 Mexico 88,470 million SLC compare
  6. 43 Niger 71,206 million SLC compare

See the full ranking of 194 places →

More environment data for Chad

All data for Chad →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Chad?
Gross fixed capital formation (agriculture, forestry and fishing) in Chad was 123,313 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross fixed capital formation (agriculture, forestry and fishing) recorded in Chad?
The highest recorded value was 134,176 million SLC in 2018.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Chad?
The lowest recorded value was 7,731 million SLC in 1995.
How does Chad rank for gross fixed capital formation (agriculture, forestry and fishing)?
Chad ranks 40th out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Chad?
Over the last ten years it is up 18.5%. 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 Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Chad. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 August 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-standard-local-2/chad/

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About this data

Indicator
Gross Fixed Capital Formation (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, 5,526 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.