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

Gambia: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 2,386 million SLC in 2023. ◆ Volatile

Latest (2023)
2,386 million SLC
Change on year
up 26.6%
World rank
106th
of 181 countries
All-time high
2,386 million SLC
in 2023
All-time low
106.22 million SLC
in 1996
Years of data
29
1995–2023

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

05001.0k1.5k2.0k2.5k1995200920231995: 108.7 million SLC1996: 106.2 million SLC1997: 116.2 million SLC1998: 113.4 million SLC1999: 165.9 million SLC2000: 185.4 million SLC2001: 240.5 million SLC2002: 386.1 million SLC2003: 481.6 million SLC2004: 381.5 million SLC2005: 373.3 million SLC2006: 289 million SLC2007: 327.5 million SLC2008: 400.6 million SLC2009: 490.4 million SLC2010: 647.9 million SLC2011: 423 million SLC2012: 480.7 million SLC2013: 498.9 million SLC2014: 505.4 million SLC2015: 621.5 million SLC2016: 763.1 million SLC2017: 811.2 million SLC2018: 906.1 million SLC2019: 1.1k million SLC2020: 1.4k million SLC2021: 1.6k million SLC2022: 1.9k million SLC2023: 2.4k million SLC

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

Analysis

In 2023, gross fixed capital formation (agriculture, forestry and fishing) in Gambia stood at 2,386 million SLC. That is the highest value across all 29 years on record.

The figure is up 26.6% on the previous year and up 378.2% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Gambia peaked at 2,386 million SLC in 2023 and was at its lowest, 106.22 million SLC, in 1996.

Gambia ranks 106th of 181 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.

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

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Gambia, 1995 to 2023.
Year million SLC Change
1995 108.69 million SLC
1996 106.22 million SLC -2.3%
1997 116.16 million SLC +9.4%
1998 113.42 million SLC -2.4%
1999 165.87 million SLC +46.2%
2000 185.43 million SLC +11.8%
2001 240.48 million SLC +29.7%
2002 386.12 million SLC +60.6%
2003 481.64 million SLC +24.7%
2004 381.48 million SLC -20.8%
2005 373.32 million SLC -2.1%
2006 289.03 million SLC -22.6%
2007 327.51 million SLC +13.3%
2008 400.58 million SLC +22.3%
2009 490.36 million SLC +22.4%
2010 647.9 million SLC +32.1%
2011 423.04 million SLC -34.7%
2012 480.74 million SLC +13.6%
2013 498.85 million SLC +3.8%
2014 505.38 million SLC +1.3%
2015 621.49 million SLC +23.0%
2016 763.06 million SLC +22.8%
2017 811.24 million SLC +6.3%
2018 906.14 million SLC +11.7%
2019 1,078 million SLC +19.0%
2020 1,377 million SLC +27.7%
2021 1,577 million SLC +14.5%
2022 1,884 million SLC +19.5%
2023 2,386 million SLC +26.6%

Averages by decade

DecadeAverage LowestHighest Years
1990s 122.07 million SLC 106.22 million SLC 165.87 million SLC 5
2000s 355.59 million SLC 185.43 million SLC 490.36 million SLC 10
2010s 673.62 million SLC 423.04 million SLC 1,078 million SLC 10
2020s 1,806 million SLC 1,377 million SLC 2,386 million SLC 4

Countries ranked near Gambia

  1. 103 Greece 2,999 million SLC compare
  2. 104 Namibia 2,739 million SLC compare
  3. 105 Zambia 2,666 million SLC compare
  4. 107 Bulgaria 2,257 million SLC compare
  5. 108 Ireland 2,180 million SLC compare
  6. 109 Belgium 2,174 million SLC compare

See the full ranking of 194 places →

More environment data for Gambia

All data for Gambia →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Gambia?
Gross fixed capital formation (agriculture, forestry and fishing) in Gambia was 2,386 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 Gambia?
The highest recorded value was 2,386 million SLC in 2023.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Gambia?
The lowest recorded value was 106.22 million SLC in 1996.
How does Gambia rank for gross fixed capital formation (agriculture, forestry and fishing)?
Gambia ranks 106th out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Gambia?
Over the last ten years it is up 378.2%. The long-run trend across the full record is volatile.
Where does this Gambia 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. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Gambia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 06 September 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-standard-local/gambia-the/

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About this data

Indicator
Gross Fixed Capital Formation (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, 5,531 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.