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

Niger: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 94,650 million SLC in 2023. ◆ Volatile

Latest (2023)
94,650 million SLC
Change on year
up 18.0%
World rank
47th
of 181 countries
All-time high
94,650 million SLC
in 2023
All-time low
10,304 million SLC
in 1995
Years of data
29
1995–2023

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

20.0k40.0k60.0k80.0k100.0k1995200920231995: 10.3k million SLC1996: 11.5k million SLC1997: 13.7k million SLC1998: 13.0k million SLC1999: 12.4k million SLC2000: 17.4k million SLC2001: 19.9k million SLC2002: 21.3k million SLC2003: 35.3k million SLC2004: 35.2k million SLC2005: 36.7k million SLC2006: 39.0k million SLC2007: 46.5k million SLC2008: 49.6k million SLC2009: 51.4k million SLC2010: 53.9k million SLC2011: 37.0k million SLC2012: 39.2k million SLC2013: 40.9k million SLC2014: 42.5k million SLC2015: 45.2k million SLC2016: 47.1k million SLC2017: 46.1k million SLC2018: 49.0k million SLC2019: 54.5k million SLC2020: 68.2k million SLC2021: 71.4k million SLC2022: 80.2k million SLC2023: 94.6k 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 Niger stood at 94,650 million SLC. That is the highest value across all 29 years on record.

The figure is up 18.0% on the previous year and up 131.5% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Niger peaked at 94,650 million SLC in 2023 and was at its lowest, 10,304 million SLC, in 1995.

Niger ranks 47th 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 Niger, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Niger, 1995 to 2023.
Year million SLC Change
1995 10,304 million SLC
1996 11,525 million SLC +11.8%
1997 13,694 million SLC +18.8%
1998 12,988 million SLC -5.2%
1999 12,423 million SLC -4.3%
2000 17,410 million SLC +40.1%
2001 19,850 million SLC +14.0%
2002 21,335 million SLC +7.5%
2003 35,321 million SLC +65.6%
2004 35,222 million SLC -0.3%
2005 36,670 million SLC +4.1%
2006 39,016 million SLC +6.4%
2007 46,488 million SLC +19.1%
2008 49,629 million SLC +6.8%
2009 51,395 million SLC +3.6%
2010 53,851 million SLC +4.8%
2011 36,963 million SLC -31.4%
2012 39,236 million SLC +6.1%
2013 40,884 million SLC +4.2%
2014 42,478 million SLC +3.9%
2015 45,217 million SLC +6.4%
2016 47,069 million SLC +4.1%
2017 46,133 million SLC -2.0%
2018 48,999 million SLC +6.2%
2019 54,484 million SLC +11.2%
2020 68,236 million SLC +25.2%
2021 71,359 million SLC +4.6%
2022 80,196 million SLC +12.4%
2023 94,650 million SLC +18.0%

Averages by decade

DecadeAverage LowestHighest Years
1990s 12,187 million SLC 10,304 million SLC 13,694 million SLC 5
2000s 35,234 million SLC 17,410 million SLC 51,395 million SLC 10
2010s 45,531 million SLC 36,963 million SLC 54,484 million SLC 10
2020s 78,610 million SLC 68,236 million SLC 94,650 million SLC 4

Countries ranked near Niger

  1. 44 Mexico 137,224 million SLC compare
  2. 45 Armenia 122,028 million SLC compare
  3. 46 Burundi 108,424 million SLC compare
  4. 48 Nepal 93,744 million SLC compare
  5. 49 Serbia 91,913 million SLC compare
  6. 50 Congo 80,369 million SLC compare

See the full ranking of 194 places →

More environment data for Niger

All data for Niger →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Niger?
Gross fixed capital formation (agriculture, forestry and fishing) in Niger was 94,650 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 Niger?
The highest recorded value was 94,650 million SLC in 2023.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Niger?
The lowest recorded value was 10,304 million SLC in 1995.
How does Niger rank for gross fixed capital formation (agriculture, forestry and fishing)?
Niger ranks 47th out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Niger?
Over the last ten years it is up 131.5%. The long-run trend across the full record is volatile.
Where does this Niger 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 Niger. 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/niger/

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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.