Namibia vs United Kingdom of Great Britain and Northern Ireland: Value Added (Agriculture, Forestry and Fishing) — Value Standard

Namibia
10,612 million SLC
in 2024
United Kingdom of Great Britain and Northern Ireland
12,284 million SLC
in 2024
Namibia rank
129th
United Kingdom of Great Britain and Northern Ireland rank
126th

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

  • Namibia
  • United Kingdom of Great Britain and Northern Ireland
4.0k6.0k8.0k10.0k12.0k14.0k197019972024

How they compare

United Kingdom of Great Britain and Northern Ireland currently reports 12,284 million SLC against 10,612 million SLC in Namibia, a difference of 1,672 million SLC.

That makes United Kingdom of Great Britain and Northern Ireland's figure about 1.2 times Namibia's.

The two have swapped places 13 times across 55 shared years of data; in 1970 it was Namibia ahead.

Namibia ranks 129th and United Kingdom of Great Britain and Northern Ireland ranks 126th of 220 countries.

Across the 6 decades both report, Namibia averaged higher in 4 and United Kingdom of Great Britain and Northern Ireland in 2.

Head to head by decade

Decade Namibia United Kingdom of Great Britain and Northern Ireland Difference Ahead
1970s 5,610 million SLC 4,875 million SLC 734.86 million SLC Namibia
1980s 7,200 million SLC 6,613 million SLC 587.71 million SLC Namibia
1990s 8,639 million SLC 7,405 million SLC 1,235 million SLC Namibia
2000s 11,571 million SLC 10,794 million SLC 776.62 million SLC Namibia
2010s 10,826 million SLC 11,186 million SLC 359.96 million SLC United Kingdom of Great Britain and Northern Ireland
2020s 10,968 million SLC 11,928 million SLC 959.18 million SLC 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 standard, Namibia or United Kingdom of Great Britain and Northern Ireland?
United Kingdom of Great Britain and Northern Ireland, at 12,284 million SLC against 10,612 million SLC in Namibia as of 2024.
What is the difference in value added (agriculture, forestry and fishing) — value standard between Namibia and United Kingdom of Great Britain and Northern Ireland?
1,672 million SLC, with United Kingdom of Great Britain and Northern Ireland ahead.
How many years of comparable data are there for Namibia and United Kingdom of Great Britain and Northern Ireland?
55 years are reported by both, from 1970 to 2024.
How do Namibia and United Kingdom of Great Britain and Northern Ireland rank globally for value added (agriculture, forestry and fishing) — value standard?
Namibia ranks 129th and United Kingdom of Great Britain and Northern Ireland ranks 126th of 220 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Namibia vs United Kingdom of Great Britain and Northern Ireland: Value Added (Agriculture, Forestry and Fishing) — Value Standard. 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-standard-local-currency-2015-prices/namibia/united-kingdom-of-great-britain-and-northern-ireland/

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About this data

Indicator
Value Added (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
221 places, 11,392 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).