Eritrea vs Solomon Islands: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015

Eritrea
454.32 million USD
in 2024
Solomon Islands
453.94 million USD
in 2024
Eritrea rank
143rd
Solomon Islands rank
145th

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 over time

  • Eritrea
  • Solomon Islands
100200300400500197019972024

How they compare

Eritrea currently reports 454.32 million USD against 453.94 million USD in Solomon Islands, a difference of 0.38 million USD.

The two have swapped places 11 times across 35 shared years of data; in 1990 it was Solomon Islands ahead.

Eritrea ranks 143rd and Solomon Islands ranks 145th of 200 countries.

Across the 4 decades both report, Eritrea averaged higher in 1 and Solomon Islands in 3.

Head to head by decade

Decade Eritrea Solomon Islands Difference Ahead
1990s 256.78 million USD 232.93 million USD 23.85 million USD Eritrea
2000s 268.84 million USD 291.04 million USD 22.2 million USD Solomon Islands
2010s 364.57 million USD 432.18 million USD 67.61 million USD Solomon Islands
2020s 424.55 million USD 448.69 million USD 24.14 million USD Solomon Islands

Averages of every year both report within each decade.

Frequently asked questions

Which has higher value added (agriculture, forestry and fishing) — value us$, 2015, Eritrea or Solomon Islands?
Eritrea, at 454.32 million USD against 453.94 million USD in Solomon Islands as of 2024.
What is the difference in value added (agriculture, forestry and fishing) — value us$, 2015 between Eritrea and Solomon Islands?
0.38 million USD, with Eritrea ahead.
How many years of comparable data are there for Eritrea and Solomon Islands?
35 years are reported by both, from 1990 to 2024.
How do Eritrea and Solomon Islands rank globally for value added (agriculture, forestry and fishing) — value us$, 2015?
Eritrea ranks 143rd and Solomon Islands ranks 145th of 200 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Eritrea vs Solomon Islands: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 September 2026, from https://environment.statizoid.com/compare/value-added-agriculture-forestry-and-fishing-value-us-2015-prices/eritrea/solomon-islands/

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<a href="https://environment.statizoid.com/compare/value-added-agriculture-forestry-and-fishing-value-us-2015-prices/eritrea/solomon-islands/">Eritrea vs Solomon Islands: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015</a> — Statizoid

About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
249 places, 12,769 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).