Value Added (Total Manufacturing) β€” Annual growth US$ in Equatorial Guinea, Republic of

Equatorial Guinea, Republic of: Value Added (Total Manufacturing) β€” Annual growth US$ was -15.76 % in 2023. β—† Volatile

Latest (2023)
-15.76 %
Change on year
down 150.1%
World rank
192nd
of 200 countries
All-time high
345.94 %
in 1996
All-time low
-46.29 %
in 2015
Years of data
53
1971–2023

Value Added (Total Manufacturing) β€” Annual growth US$ in Equatorial Guinea, Republic of, 1971–2023

0100200300197119972023

Source: Food and Agriculture Organization of the United Nations. Measured in %.

Analysis

In 2023, value added (total manufacturing) β€” annual growth us$ in Equatorial Guinea, Republic of stood at -15.76 %.

The figure is down 150.1% on the previous year and down 248.2% over ten years.

Over the whole period, value added (total manufacturing) β€” annual growth us$ in Equatorial Guinea, Republic of peaked at 345.94 % in 1996 and was at its lowest, -46.29 %, in 2015.

That places Equatorial Guinea, Republic of 192nd out of 200 countries with data for 2023, putting it in the bottom quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
1970s 10.77 % -2.51 % 27.22 % 9
1980s 13.41 % -37.45 % 110.45 % 10
1990s 54.83 % -10.3 % 345.94 % 10
2000s 50.54 % -32.61 % 163.79 % 10
2010s 3.03 % -46.29 % 51.05 % 10
2020s 7.4 % -18.48 % 32.34 % 4

Countries ranked near Equatorial Guinea, Republic of

  1. 189 Kuwait -13.57 % compare
  2. 190 Angola -14.27 % compare
  3. 191 Qatar -15.67 % compare
  4. 193 Burundi -18.44 % compare
  5. 194 Yemen, Republic of -20.12 % compare
  6. 195 Ireland -20.34 % compare

See the full ranking of 252 places β†’

More economy & growth data for Equatorial Guinea, Republic of

All data for Equatorial Guinea, Republic of β†’

Frequently asked questions

What is value added (total manufacturing) β€” annual growth us$ in Equatorial Guinea, Republic of?
Value added (total manufacturing) β€” annual growth us$ in Equatorial Guinea, Republic of was -15.76 % in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (total manufacturing) β€” annual growth us$ recorded in Equatorial Guinea, Republic of?
The highest recorded value was 345.94 % in 1996.
What is the lowest value added (total manufacturing) β€” annual growth us$ recorded in Equatorial Guinea, Republic of?
The lowest recorded value was -46.29 % in 2015.
How does Equatorial Guinea, Republic of rank for value added (total manufacturing) β€” annual growth us$?
Equatorial Guinea, Republic of ranks 192nd out of 200 countries with data for 2023.
Is value added (total manufacturing) β€” annual growth us$ rising or falling in Equatorial Guinea, Republic of?
Over the last ten years it is down 248.2%. The long-run trend across the full record is volatile.
Where does this Equatorial Guinea, Republic of data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Total Manufacturing) β€” Annual growth US$. Statizoid updates them automatically from the source API.

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Value Added (Total Manufacturing) β€” Annual growth US$ in Equatorial Guinea, Republic of. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 August 2026, from https://economy.statizoid.com/stat/value-added-total-manufacturing-annual-growth-us/equatorial-guinea/

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About this data

Indicator
Value Added (Total Manufacturing) β€” Annual growth US$
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
252 places, 12,276 data points, 1971–2023
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).