Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Eritrea

Eritrea: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 3,933 million SLC in 2023. ▲ Rising

Latest (2023)
3,933 million SLC
Change on year
up 0.3%
World rank
129th
of 179 countries
All-time high
3,933 million SLC
in 2023
All-time low
1,936 million SLC
in 1995
Years of data
29
1995–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Eritrea, 1995–2023

01.0k2.0k3.0k4.0k1995200920231995: 1.9k million SLC1996: 2.0k million SLC1997: 2.0k million SLC1998: 2.2k million SLC1999: 2.4k million SLC2000: 2.4k million SLC2001: 2.5k million SLC2002: 2.4k million SLC2003: 2.5k million SLC2004: 2.5k million SLC2005: 2.7k million SLC2006: 2.8k million SLC2007: 2.9k million SLC2008: 2.9k million SLC2009: 2.8k million SLC2010: 2.9k million SLC2011: 3.0k million SLC2012: 3.1k million SLC2013: 3.2k million SLC2014: 3.4k million SLC2015: 3.4k million SLC2016: 3.6k million SLC2017: 3.6k million SLC2018: 3.7k million SLC2019: 3.8k million SLC2020: 3.9k million SLC2021: 3.9k million SLC2022: 3.9k million SLC2023: 3.9k million SLC

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

Analysis

Eritrea recorded 3,933 million SLC for net capital stocks (agriculture, forestry and fishing) — value in 2023. That is the highest value across all 29 years on record.

That represents a change of up 0.3% on the previous year and up 24.1% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Eritrea peaked at 3,933 million SLC in 2023 and was at its lowest, 1,936 million SLC, in 1995.

That places Eritrea 129th out of 179 countries with data for 2023, putting it in the middle of the range.

The long-run direction has been consistently rising across the 29 years of available data.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Eritrea, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Eritrea, 1995 to 2023.
Year million SLC Change
1995 1,936 million SLC
1996 1,979 million SLC +2.2%
1997 2,037 million SLC +2.9%
1998 2,216 million SLC +8.8%
1999 2,369 million SLC +6.9%
2000 2,426 million SLC +2.4%
2001 2,458 million SLC +1.3%
2002 2,443 million SLC -0.6%
2003 2,458 million SLC +0.6%
2004 2,456 million SLC -0.1%
2005 2,668 million SLC +8.6%
2006 2,794 million SLC +4.7%
2007 2,899 million SLC +3.8%
2008 2,851 million SLC -1.6%
2009 2,848 million SLC -0.1%
2010 2,900 million SLC +1.8%
2011 2,993 million SLC +3.2%
2012 3,112 million SLC +4.0%
2013 3,169 million SLC +1.8%
2014 3,366 million SLC +6.2%
2015 3,432 million SLC +2.0%
2016 3,554 million SLC +3.5%
2017 3,595 million SLC +1.2%
2018 3,680 million SLC +2.4%
2019 3,763 million SLC +2.3%
2020 3,852 million SLC +2.4%
2021 3,891 million SLC +1.0%
2022 3,922 million SLC +0.8%
2023 3,933 million SLC +0.3%

Averages by decade

DecadeAverage LowestHighest Years
1990s 2,108 million SLC 1,936 million SLC 2,369 million SLC 5
2000s 2,630 million SLC 2,426 million SLC 2,899 million SLC 10
2010s 3,356 million SLC 2,900 million SLC 3,763 million SLC 10
2020s 3,900 million SLC 3,852 million SLC 3,933 million SLC 4

Countries ranked near Eritrea

  1. 126 Jordan 4,151 million SLC compare
  2. 127 Zimbabwe 4,085 million SLC compare
  3. 128 Solomon Islands 3,995 million SLC compare
  4. 130 Cuba 3,560 million SLC compare
  5. 131 Slovenia 3,528 million SLC compare
  6. 132 Estonia 3,491 million SLC compare

See the full ranking of 192 places →

More environment data for Eritrea

All data for Eritrea →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Eritrea?
Net capital stocks (agriculture, forestry and fishing) — value in Eritrea was 3,933 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Eritrea?
The highest recorded value was 3,933 million SLC in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Eritrea?
The lowest recorded value was 1,936 million SLC in 1995.
How does Eritrea rank for net capital stocks (agriculture, forestry and fishing) — value?
Eritrea ranks 129th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Eritrea?
Over the last ten years it is up 24.1%. The long-run trend across the full record is rising.
Where does this Eritrea data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Eritrea. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 08 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency-2015/eritrea/

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About this data

Indicator
Net Capital Stocks (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
192 places, 5,493 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.