Sudan (former) vs United Kingdom of Great Britain and Northern Ireland: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015

Sudan (former)
18,122 million USD
in 2007
United Kingdom of Great Britain and Northern Ireland
18,767 million USD
in 2024
Sudan (former) rank
41st
United Kingdom of Great Britain and Northern Ireland rank
39th

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

  • Sudan (former)
  • United Kingdom of Great Britain and Northern Ireland
5.0k10.0k15.0k20.0k197019972024

How they compare

United Kingdom of Great Britain and Northern Ireland currently reports 18,767 million USD against 18,122 million USD in Sudan (former), a difference of 645 million USD.

The two have swapped places 5 times across 38 shared years of data; in 1970 it was United Kingdom of Great Britain and Northern Ireland ahead.

Sudan (former) ranks 41st and United Kingdom of Great Britain and Northern Ireland ranks 39th of 233 countries.

United Kingdom of Great Britain and Northern Ireland has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Sudan (former) United Kingdom of Great Britain and Northern Ireland Difference Ahead
1970s 5,329 million USD 7,448 million USD 2,118 million USD United Kingdom of Great Britain and Northern Ireland
1980s 5,495 million USD 10,102 million USD 4,608 million USD United Kingdom of Great Britain and Northern Ireland
1990s 8,332 million USD 11,313 million USD 2,981 million USD United Kingdom of Great Britain and Northern Ireland
2000s 15,865 million USD 16,128 million USD 263.66 million USD United Kingdom of Great Britain and Northern Ireland

Averages of every year both report within each decade.

Frequently asked questions

Which has higher value added (agriculture, forestry and fishing) — value us$, 2015, Sudan (former) or United Kingdom of Great Britain and Northern Ireland?
United Kingdom of Great Britain and Northern Ireland, at 18,767 million USD against 18,122 million USD in Sudan (former) as of 2024.
What is the difference in value added (agriculture, forestry and fishing) — value us$, 2015 between Sudan (former) and United Kingdom of Great Britain and Northern Ireland?
645 million USD, with United Kingdom of Great Britain and Northern Ireland ahead.
How many years of comparable data are there for Sudan (former) and United Kingdom of Great Britain and Northern Ireland?
38 years are reported by both, from 1970 to 2007.
How do Sudan (former) and United Kingdom of Great Britain and Northern Ireland rank globally for value added (agriculture, forestry and fishing) — value us$, 2015?
Sudan (former) ranks 41st and United Kingdom of Great Britain and Northern Ireland ranks 39th of 233 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Sudan (former) vs United Kingdom of Great Britain and Northern Ireland: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://environment.statizoid.com/compare/value-added-agriculture-forestry-and-fishing-value-us-2015-prices/sudan-former/united-kingdom-of-great-britain-and-northern-ireland/

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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
263 places, 13,442 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).