Value Added (Agriculture, Forestry and Fishing) — Value Standard in Eritrea

Eritrea: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 6,380 million SLC in 2024. ◆ Volatile

Latest (2024)
6,380 million SLC
Change on year
up 5.6%
World rank
130th
of 199 countries
All-time high
6,792 million SLC
in 2014
All-time low
353.53 million SLC
in 1990
Years of data
35
1990–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Eritrea, 1990–2024

02.0k4.0k6.0k1990200720241990: 353.5 million SLC1991: 420.8 million SLC1992: 599.3 million SLC1993: 491.3 million SLC1994: 756.1 million SLC1995: 741.8 million SLC1996: 772.2 million SLC1997: 808.9 million SLC1998: 1.4k million SLC1999: 1.4k million SLC2000: 955.2 million SLC2001: 1.4k million SLC2002: 1.1k million SLC2003: 1.4k million SLC2004: 1.6k million SLC2005: 3.8k million SLC2006: 3.5k million SLC2007: 3.8k million SLC2008: 2.4k million SLC2009: 2.9k million SLC2010: 4.5k million SLC2011: 5.2k million SLC2012: 5.7k million SLC2013: 5.1k million SLC2014: 6.8k million SLC2015: 5.4k million SLC2016: 6.0k million SLC2017: 5.0k million SLC2018: 5.3k million SLC2019: 5.3k million SLC2020: 5.6k million SLC2021: 5.9k million SLC2022: 6.3k million SLC2023: 6.0k million SLC2024: 6.4k million SLC

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

Analysis

In 2024, value added (agriculture, forestry and fishing) — value standard in Eritrea stood at 6,380 million SLC.

Compared with earlier readings it is up 5.6% on the previous year and down 6.1% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Eritrea peaked at 6,792 million SLC in 2014 and was at its lowest, 353.53 million SLC, in 1990.

That places Eritrea 130th out of 199 countries with data for 2024, putting it in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Eritrea, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Eritrea, 1990 to 2024.
Year million SLC Change
1990 353.53 million SLC
1991 420.75 million SLC +19.0%
1992 599.28 million SLC +42.4%
1993 491.27 million SLC -18.0%
1994 756.1 million SLC +53.9%
1995 741.81 million SLC -1.9%
1996 772.17 million SLC +4.1%
1997 808.91 million SLC +4.8%
1998 1,393 million SLC +72.2%
1999 1,397 million SLC +0.3%
2000 955.16 million SLC -31.6%
2001 1,401 million SLC +46.6%
2002 1,061 million SLC -24.2%
2003 1,429 million SLC +34.7%
2004 1,627 million SLC +13.9%
2005 3,815 million SLC +134.4%
2006 3,545 million SLC -7.1%
2007 3,805 million SLC +7.3%
2008 2,380 million SLC -37.5%
2009 2,896 million SLC +21.7%
2010 4,494 million SLC +55.1%
2011 5,217 million SLC +16.1%
2012 5,714 million SLC +9.5%
2013 5,112 million SLC -10.5%
2014 6,792 million SLC +32.9%
2015 5,414 million SLC -20.3%
2016 5,982 million SLC +10.5%
2017 5,012 million SLC -16.2%
2018 5,330 million SLC +6.3%
2019 5,280 million SLC -0.9%
2020 5,600 million SLC +6.1%
2021 5,878 million SLC +5.0%
2022 6,334 million SLC +7.7%
2023 6,042 million SLC -4.6%
2024 6,380 million SLC +5.6%

Averages by decade

DecadeAverage LowestHighest Years
1990s 773.46 million SLC 353.53 million SLC 1,397 million SLC 10
2000s 2,291 million SLC 955.16 million SLC 3,815 million SLC 10
2010s 5,435 million SLC 4,494 million SLC 6,792 million SLC 10
2020s 6,047 million SLC 5,600 million SLC 6,380 million SLC 5

Countries ranked near Eritrea

  1. 127 Finland 6,861 million SLC compare
  2. 128 Cuba 6,683 million SLC compare
  3. 129 Ethiopia PDR 6,590 million SLC
  4. 131 Austria 5,923 million SLC compare
  5. 132 Portugal 5,624 million SLC compare
  6. 133 Ireland 5,617 million SLC compare

See the full ranking of 215 places →

More environment data for Eritrea

All data for Eritrea →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Eritrea?
Value added (agriculture, forestry and fishing) — value standard in Eritrea was 6,380 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Eritrea?
The highest recorded value was 6,792 million SLC in 2014.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Eritrea?
The lowest recorded value was 353.53 million SLC in 1990.
How does Eritrea rank for value added (agriculture, forestry and fishing) — value standard?
Eritrea ranks 130th out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Eritrea?
Over the last ten years it is down 6.1%. 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 Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Eritrea. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 23 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/eritrea/

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About this data

Indicator
Value Added (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
215 places, 10,919 data points, 1970–2024
Last refreshed

The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).