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

Mali: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 133,393 million SLC in 2023. ◆ Volatile

Latest (2023)
133,393 million SLC
Change on year
up 16.3%
World rank
37th
of 181 countries
All-time high
133,393 million SLC
in 2023
All-time low
8,312 million SLC
in 1998
Years of data
29
1995–2023

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

050.0k100.0k150.0k1995200920231995: 8.9k million SLC1996: 8.4k million SLC1997: 8.5k million SLC1998: 8.3k million SLC1999: 10.4k million SLC2000: 11.4k million SLC2001: 12.4k million SLC2002: 13.9k million SLC2003: 14.8k million SLC2004: 15.9k million SLC2005: 18.0k million SLC2006: 18.7k million SLC2007: 21.3k million SLC2008: 23.4k million SLC2009: 24.6k million SLC2010: 29.2k million SLC2011: 29.8k million SLC2012: 41.4k million SLC2013: 43.8k million SLC2014: 50.2k million SLC2015: 56.2k million SLC2016: 62.1k million SLC2017: 75.4k million SLC2018: 83.6k million SLC2019: 90.4k million SLC2020: 91.7k million SLC2021: 103.2k million SLC2022: 114.7k million SLC2023: 133.4k million SLC

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

Analysis

The most recent figure for consumption of fixed capital (agriculture, forestry and fishing) in Mali is 133,393 million SLC, measured in 2023. That is the highest value across all 29 years on record.

The figure is up 16.3% on the previous year and up 204.3% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Mali peaked at 133,393 million SLC in 2023 and was at its lowest, 8,312 million SLC, in 1998.

Mali ranks 37th 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.

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

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Mali, 1995 to 2023.
Year million SLC Change
1995 8,917 million SLC
1996 8,376 million SLC -6.1%
1997 8,536 million SLC +1.9%
1998 8,312 million SLC -2.6%
1999 10,427 million SLC +25.4%
2000 11,405 million SLC +9.4%
2001 12,416 million SLC +8.9%
2002 13,872 million SLC +11.7%
2003 14,832 million SLC +6.9%
2004 15,942 million SLC +7.5%
2005 17,960 million SLC +12.7%
2006 18,696 million SLC +4.1%
2007 21,301 million SLC +13.9%
2008 23,430 million SLC +10.0%
2009 24,603 million SLC +5.0%
2010 29,154 million SLC +18.5%
2011 29,821 million SLC +2.3%
2012 41,420 million SLC +38.9%
2013 43,831 million SLC +5.8%
2014 50,221 million SLC +14.6%
2015 56,240 million SLC +12.0%
2016 62,138 million SLC +10.5%
2017 75,431 million SLC +21.4%
2018 83,636 million SLC +10.9%
2019 90,369 million SLC +8.1%
2020 91,701 million SLC +1.5%
2021 103,160 million SLC +12.5%
2022 114,668 million SLC +11.2%
2023 133,393 million SLC +16.3%

Averages by decade

DecadeAverage LowestHighest Years
1990s 8,914 million SLC 8,312 million SLC 10,427 million SLC 5
2000s 17,446 million SLC 11,405 million SLC 24,603 million SLC 10
2010s 56,226 million SLC 29,154 million SLC 90,369 million SLC 10
2020s 110,731 million SLC 91,701 million SLC 133,393 million SLC 4

Countries ranked near Mali

  1. 34 Benin 161,445 million SLC compare
  2. 35 Senegal 153,479 million SLC compare
  3. 36 Armenia 138,770 million SLC compare
  4. 38 Rwanda 130,738 million SLC compare
  5. 39 Burkina Faso 105,964 million SLC compare
  6. 40 Chad 100,739 million SLC compare

See the full ranking of 194 places →

More environment data for Mali

All data for Mali →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Mali?
Consumption of fixed capital (agriculture, forestry and fishing) in Mali was 133,393 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 Mali?
The highest recorded value was 133,393 million SLC in 2023.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Mali?
The lowest recorded value was 8,312 million SLC in 1998.
How does Mali rank for consumption of fixed capital (agriculture, forestry and fishing)?
Mali ranks 37th out of 181 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Mali?
Over the last ten years it is up 204.3%. The long-run trend across the full record is volatile.
Where does this Mali 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. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Mali. 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/mali/

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About this data

Indicator
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
194 places, 5,516 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.