Net Food Importing Developing Countries (NFIDCs) vs Switzerland: Value Added (Total Manufacturing) — Value US$

Net Food Importing Developing Countries (NFIDCs)
488,232 million USD
in 2023
Switzerland
159,541 million USD
in 2023
Net Food Importing Developing Countries (NFIDCs) rank
8th
Switzerland rank
17th

Value Added (Total Manufacturing) — Value US$ over time

  • Net Food Importing Developing Countries (NFIDCs)
  • Switzerland
0100.0k200.0k300.0k400.0k500.0k197019962023

How they compare

Net Food Importing Developing Countries (NFIDCs) currently reports 488,232 million USD against 159,541 million USD in Switzerland, a difference of 328,691 million USD.

That makes Net Food Importing Developing Countries (NFIDCs)'s figure about 3.1 times Switzerland's.

Across all 54 years both countries report, Net Food Importing Developing Countries (NFIDCs) has been ahead every year.

Net Food Importing Developing Countries (NFIDCs) ranks 8th and Switzerland ranks 17th of 10 groups.

Net Food Importing Developing Countries (NFIDCs) has averaged higher in every one of the 6 decades both report.

Head to head by decade

Decade Net Food Importing Developing Countries (NFIDCs) Switzerland Difference Ahead
1970s 30,445 million USD 13,963 million USD 16,482 million USD Net Food Importing Developing Countries (NFIDCs)
1980s 62,451 million USD 30,497 million USD 31,954 million USD Net Food Importing Developing Countries (NFIDCs)
1990s 91,318 million USD 56,671 million USD 34,647 million USD Net Food Importing Developing Countries (NFIDCs)
2000s 167,010 million USD 76,773 million USD 90,237 million USD Net Food Importing Developing Countries (NFIDCs)
2010s 366,435 million USD 122,949 million USD 243,486 million USD Net Food Importing Developing Countries (NFIDCs)
2020s 462,517 million USD 149,550 million USD 312,967 million USD Net Food Importing Developing Countries (NFIDCs)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher value added (total manufacturing) — value us$, Net Food Importing Developing Countries (NFIDCs) or Switzerland?
Net Food Importing Developing Countries (NFIDCs), at 488,232 million USD against 159,541 million USD in Switzerland as of 2023.
What is the difference in value added (total manufacturing) — value us$ between Net Food Importing Developing Countries (NFIDCs) and Switzerland?
328,691 million USD, with Net Food Importing Developing Countries (NFIDCs) ahead.
How many years of comparable data are there for Net Food Importing Developing Countries (NFIDCs) and Switzerland?
54 years are reported by both, from 1970 to 2023.
How do Net Food Importing Developing Countries (NFIDCs) and Switzerland rank globally for value added (total manufacturing) — value us$?
Net Food Importing Developing Countries (NFIDCs) ranks 8th and Switzerland ranks 17th of 10 groups.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Value Added (Total Manufacturing) — Value US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Net Food Importing Developing Countries (NFIDCs) vs Switzerland: Value Added (Total Manufacturing) — Value US$. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 August 2026, from https://economy.statizoid.com/compare/value-added-total-manufacturing-value-us/net-food-importing-developing-countries-nfidcs/switzerland/

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About this data

Indicator
Value Added (Total Manufacturing) — Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
252 places, 12,511 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).