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

United Kingdom of Great Britain and Northern Ireland
20,526 million USD
in 2024
Zimbabwe
20,101 million USD
in 2024
United Kingdom of Great Britain and Northern Ireland rank
43rd
Zimbabwe rank
45th

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

  • United Kingdom of Great Britain and Northern Ireland
  • Zimbabwe
05.0k10.0k15.0k20.0k25.0k197019972024

How they compare

United Kingdom of Great Britain and Northern Ireland currently reports 20,526 million USD against 20,101 million USD in Zimbabwe, a difference of 425 million USD.

Across all 55 years both countries report, United Kingdom of Great Britain and Northern Ireland has been ahead every year.

United Kingdom of Great Britain and Northern Ireland ranks 43rd and Zimbabwe ranks 45th of 233 countries.

United Kingdom of Great Britain and Northern Ireland has averaged higher in every one of the 6 decades both report.

Head to head by decade

Decade United Kingdom of Great Britain and Northern Ireland Zimbabwe Difference Ahead
1970s 4,907 million USD 545.32 million USD 4,362 million USD United Kingdom of Great Britain and Northern Ireland
1980s 9,026 million USD 1,132 million USD 7,894 million USD United Kingdom of Great Britain and Northern Ireland
1990s 14,839 million USD 1,530 million USD 13,309 million USD United Kingdom of Great Britain and Northern Ireland
2000s 16,000 million USD 1,357 million USD 14,642 million USD United Kingdom of Great Britain and Northern Ireland
2010s 17,385 million USD 1,564 million USD 15,821 million USD United Kingdom of Great Britain and Northern Ireland
2020s 20,211 million USD 5,455 million USD 14,756 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$, United Kingdom of Great Britain and Northern Ireland or Zimbabwe?
United Kingdom of Great Britain and Northern Ireland, at 20,526 million USD against 20,101 million USD in Zimbabwe as of 2024.
What is the difference in value added (agriculture, forestry and fishing) — value us$ between United Kingdom of Great Britain and Northern Ireland and Zimbabwe?
425 million USD, with United Kingdom of Great Britain and Northern Ireland ahead.
How many years of comparable data are there for United Kingdom of Great Britain and Northern Ireland and Zimbabwe?
55 years are reported by both, from 1970 to 2024.
How do United Kingdom of Great Britain and Northern Ireland and Zimbabwe rank globally for value added (agriculture, forestry and fishing) — value us$?
United Kingdom of Great Britain and Northern Ireland ranks 43rd and Zimbabwe ranks 45th of 233 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture, Forestry and Fishing) — Value US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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United Kingdom of Great Britain and Northern Ireland vs Zimbabwe: Value Added (Agriculture, Forestry and Fishing) — Value US$. 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/united-kingdom-of-great-britain-and-northern-ireland/zimbabwe/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value US$
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).