Indonesia vs Net Food Importing Developing Countries (NFIDCs): Value Added (Agriculture, Forestry and Fishing) — Value US$

Indonesia
176,053 million USD
in 2024
Net Food Importing Developing Countries (NFIDCs)
543,041 million USD
in 2024
Indonesia rank
3rd
Net Food Importing Developing Countries (NFIDCs) rank
5th

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

  • Indonesia
  • Net Food Importing Developing Countries (NFIDCs)
0200.0k400.0k600.0k197019972024

How they compare

Net Food Importing Developing Countries (NFIDCs) currently reports 543,041 million USD against 176,053 million USD in Indonesia, a difference of 366,988 million USD.

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

Across all 55 years both countries report, Net Food Importing Developing Countries (NFIDCs) has been ahead every year.

Indonesia ranks 3rd and Net Food Importing Developing Countries (NFIDCs) ranks 5th of 200 countries.

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

Head to head by decade

Decade Indonesia Net Food Importing Developing Countries (NFIDCs) Difference Ahead
1970s 8,982 million USD 45,478 million USD 36,495 million USD Net Food Importing Developing Countries (NFIDCs)
1980s 19,433 million USD 82,601 million USD 63,168 million USD Net Food Importing Developing Countries (NFIDCs)
1990s 27,275 million USD 116,113 million USD 88,839 million USD Net Food Importing Developing Countries (NFIDCs)
2000s 44,014 million USD 177,252 million USD 133,238 million USD Net Food Importing Developing Countries (NFIDCs)
2010s 124,043 million USD 386,713 million USD 262,670 million USD Net Food Importing Developing Countries (NFIDCs)
2020s 162,812 million USD 496,514 million USD 333,703 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 (agriculture, forestry and fishing) — value us$, Indonesia or Net Food Importing Developing Countries (NFIDCs)?
Net Food Importing Developing Countries (NFIDCs), at 543,041 million USD against 176,053 million USD in Indonesia as of 2024.
What is the difference in value added (agriculture, forestry and fishing) — value us$ between Indonesia and Net Food Importing Developing Countries (NFIDCs)?
366,988 million USD, with Net Food Importing Developing Countries (NFIDCs) ahead.
How many years of comparable data are there for Indonesia and Net Food Importing Developing Countries (NFIDCs)?
55 years are reported by both, from 1970 to 2024.
How do Indonesia and Net Food Importing Developing Countries (NFIDCs) rank globally for value added (agriculture, forestry and fishing) — value us$?
Indonesia ranks 3rd and Net Food Importing Developing Countries (NFIDCs) ranks 5th of 200 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture, Forestry and Fishing) — Value US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Indonesia vs Net Food Importing Developing Countries (NFIDCs): Value Added (Agriculture, Forestry and Fishing) — Value US$. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 25 August 2026, from https://environment.statizoid.com/compare/value-added-agriculture-forestry-and-fishing-value-us/indonesia/net-food-importing-developing-countries-nfidcs/

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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
249 places, 12,769 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).