Northern Africa vs United Kingdom of Great Britain and Northern Ireland: Value Added (Total Manufacturing) — Ratio of Value Added

Northern Africa
1.15
in 2023
United Kingdom of Great Britain and Northern Ireland
14.28
in 2023
Northern Africa rank
21st
United Kingdom of Great Britain and Northern Ireland rank
24th

Value Added (Total Manufacturing) — Ratio of Value Added over time

  • Northern Africa
  • United Kingdom of Great Britain and Northern Ireland
05101520197019962023

How they compare

United Kingdom of Great Britain and Northern Ireland currently reports 14.28 against 1.15 in Northern Africa, a difference of 13.13.

That makes United Kingdom of Great Britain and Northern Ireland's figure about 12.4 times Northern Africa's.

Across all 54 years both countries report, United Kingdom of Great Britain and Northern Ireland has been ahead every year.

Northern Africa ranks 21st and United Kingdom of Great Britain and Northern Ireland ranks 24th of 30 groups.

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 Northern Africa United Kingdom of Great Britain and Northern Ireland Difference Ahead
1970s 0.7157 11.51 10.8 United Kingdom of Great Britain and Northern Ireland
1980s 0.9472 13.67 12.72 United Kingdom of Great Britain and Northern Ireland
1990s 0.9641 13.72 12.76 United Kingdom of Great Britain and Northern Ireland
2000s 0.9387 15.66 14.72 United Kingdom of Great Britain and Northern Ireland
2010s 0.9289 14.83 13.91 United Kingdom of Great Britain and Northern Ireland
2020s 1.18 13.04 11.87 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 (total manufacturing) — ratio of value added, Northern Africa or United Kingdom of Great Britain and Northern Ireland?
United Kingdom of Great Britain and Northern Ireland, at 14.28 against 1.15 in Northern Africa as of 2023.
What is the difference in value added (total manufacturing) — ratio of value added between Northern Africa and United Kingdom of Great Britain and Northern Ireland?
13.13, with United Kingdom of Great Britain and Northern Ireland ahead.
How many years of comparable data are there for Northern Africa and United Kingdom of Great Britain and Northern Ireland?
54 years are reported by both, from 1970 to 2023.
How do Northern Africa and United Kingdom of Great Britain and Northern Ireland rank globally for value added (total manufacturing) — ratio of value added?
Northern Africa ranks 21st and United Kingdom of Great Britain and Northern Ireland ranks 24th of 30 groups.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Value Added (Total Manufacturing) — Ratio of Value Added (Agriculture, Forestry and Fishing) US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Northern Africa vs United Kingdom of Great Britain and Northern Ireland: Value Added (Total Manufacturing) — Ratio of Value Added. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://environment.statizoid.com/compare/value-added-total-manufacturing-ratio-of-value-added-agriculture-forestry-and-fishing-us/northern-africa/united-kingdom-of-great-britain-and-northern-ireland/

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About this data

Indicator
Value Added (Total Manufacturing) — Ratio of Value Added (Agriculture, Forestry and Fishing) US$
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
263 places, 13,043 data points, 1970–2023
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).