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

Eritrea: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 385.49 million SLC in 2023. ◆ Volatile

Latest (2023)
385.49 million SLC
Change on year
up 11.1%
World rank
135th
of 181 countries
All-time high
408.94 million SLC
in 2014
All-time low
36.12 million SLC
in 1995
Years of data
29
1995–2023

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

01002003004001995200920231995: 36.1 million SLC1996: 37.9 million SLC1997: 42.5 million SLC1998: 72.1 million SLC1999: 72.9 million SLC2000: 53.7 million SLC2001: 67.6 million SLC2002: 58.9 million SLC2003: 77.3 million SLC2004: 87.1 million SLC2005: 176.9 million SLC2006: 160.4 million SLC2007: 173.1 million SLC2008: 96.1 million SLC2009: 130.3 million SLC2010: 204.7 million SLC2011: 283.7 million SLC2012: 313.1 million SLC2013: 256.4 million SLC2014: 408.9 million SLC2015: 276.2 million SLC2016: 319.1 million SLC2017: 248.2 million SLC2018: 286.1 million SLC2019: 287.9 million SLC2020: 301.3 million SLC2021: 319.4 million SLC2022: 347 million SLC2023: 385.5 million SLC

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

Analysis

Eritrea recorded 385.49 million SLC for gross fixed capital formation (agriculture, forestry and fishing) in 2023.

The figure is up 11.1% on the previous year and up 50.3% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Eritrea peaked at 408.94 million SLC in 2014 and was at its lowest, 36.12 million SLC, in 1995.

Eritrea ranks 135th 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 Eritrea, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Eritrea, 1995 to 2023.
Year million SLC Change
1995 36.12 million SLC
1996 37.94 million SLC +5.0%
1997 42.55 million SLC +12.2%
1998 72.13 million SLC +69.5%
1999 72.88 million SLC +1.0%
2000 53.7 million SLC -26.3%
2001 67.63 million SLC +25.9%
2002 58.9 million SLC -12.9%
2003 77.3 million SLC +31.2%
2004 87.07 million SLC +12.6%
2005 176.89 million SLC +103.2%
2006 160.37 million SLC -9.3%
2007 173.06 million SLC +7.9%
2008 96.05 million SLC -44.5%
2009 130.25 million SLC +35.6%
2010 204.75 million SLC +57.2%
2011 283.71 million SLC +38.6%
2012 313.15 million SLC +10.4%
2013 256.41 million SLC -18.1%
2014 408.94 million SLC +59.5%
2015 276.2 million SLC -32.5%
2016 319.1 million SLC +15.5%
2017 248.17 million SLC -22.2%
2018 286.11 million SLC +15.3%
2019 287.88 million SLC +0.6%
2020 301.34 million SLC +4.7%
2021 319.41 million SLC +6.0%
2022 346.97 million SLC +8.6%
2023 385.49 million SLC +11.1%

Averages by decade

DecadeAverage LowestHighest Years
1990s 52.32 million SLC 36.12 million SLC 72.88 million SLC 5
2000s 108.12 million SLC 53.7 million SLC 176.89 million SLC 10
2010s 288.44 million SLC 204.75 million SLC 408.94 million SLC 10
2020s 338.3 million SLC 301.34 million SLC 385.49 million SLC 4

Countries ranked near Eritrea

  1. 132 Botswana 441.32 million SLC compare
  2. 133 Ecuador 440.84 million SLC compare
  3. 134 Solomon Islands 398.75 million SLC compare
  4. 136 Bosnia and Herzegovina 358.9 million SLC compare
  5. 137 Maldives 341.98 million SLC compare
  6. 138 Jordan 293.05 million SLC compare

See the full ranking of 194 places →

More environment data for Eritrea

All data for Eritrea →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Eritrea?
Gross fixed capital formation (agriculture, forestry and fishing) in Eritrea was 385.49 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 Eritrea?
The highest recorded value was 408.94 million SLC in 2014.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Eritrea?
The lowest recorded value was 36.12 million SLC in 1995.
How does Eritrea rank for gross fixed capital formation (agriculture, forestry and fishing)?
Eritrea ranks 135th out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Eritrea?
Over the last ten years it is up 50.3%. The long-run trend across the full record is volatile.
Where does this Eritrea 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 Eritrea. 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/eritrea/

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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.