Bangladesh vs Low Income Food Deficit Countries (LIFDCs): Value Added (Agriculture, Forestry and Fishing) — Value US$

Bangladesh
48,315 million USD
in 2024
Low Income Food Deficit Countries (LIFDCs)
299,875 million USD
in 2024
Bangladesh rank
18th
Low Income Food Deficit Countries (LIFDCs) rank
11th

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

  • Bangladesh
  • Low Income Food Deficit Countries (LIFDCs)
0100.0k200.0k300.0k197019972024

How they compare

Low Income Food Deficit Countries (LIFDCs) currently reports 299,875 million USD against 48,315 million USD in Bangladesh, a difference of 251,560 million USD.

That makes Low Income Food Deficit Countries (LIFDCs)'s figure about 6.2 times Bangladesh's.

Across all 55 years both countries report, Low Income Food Deficit Countries (LIFDCs) has been ahead every year.

Bangladesh ranks 18th and Low Income Food Deficit Countries (LIFDCs) ranks 11th of 233 countries.

Low Income Food Deficit Countries (LIFDCs) has averaged higher in every one of the 6 decades both report.

Head to head by decade

Decade Bangladesh Low Income Food Deficit Countries (LIFDCs) Difference Ahead
1970s 3,553 million USD 23,752 million USD 20,199 million USD Low Income Food Deficit Countries (LIFDCs)
1980s 6,531 million USD 43,938 million USD 37,407 million USD Low Income Food Deficit Countries (LIFDCs)
1990s 9,384 million USD 61,622 million USD 52,237 million USD Low Income Food Deficit Countries (LIFDCs)
2000s 12,721 million USD 90,922 million USD 78,201 million USD Low Income Food Deficit Countries (LIFDCs)
2010s 30,829 million USD 192,398 million USD 161,569 million USD Low Income Food Deficit Countries (LIFDCs)
2020s 47,290 million USD 259,434 million USD 212,143 million USD Low Income Food Deficit Countries (LIFDCs)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher value added (agriculture, forestry and fishing) — value us$, Bangladesh or Low Income Food Deficit Countries (LIFDCs)?
Low Income Food Deficit Countries (LIFDCs), at 299,875 million USD against 48,315 million USD in Bangladesh as of 2024.
What is the difference in value added (agriculture, forestry and fishing) — value us$ between Bangladesh and Low Income Food Deficit Countries (LIFDCs)?
251,560 million USD, with Low Income Food Deficit Countries (LIFDCs) ahead.
How many years of comparable data are there for Bangladesh and Low Income Food Deficit Countries (LIFDCs)?
55 years are reported by both, from 1970 to 2024.
How do Bangladesh and Low Income Food Deficit Countries (LIFDCs) rank globally for value added (agriculture, forestry and fishing) — value us$?
Bangladesh ranks 18th and Low Income Food Deficit Countries (LIFDCs) ranks 11th of 233 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture, Forestry and Fishing) — Value US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Bangladesh vs Low Income Food Deficit Countries (LIFDCs): Value Added (Agriculture, Forestry and Fishing) — Value US$. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 September 2026, from https://environment.statizoid.com/compare/value-added-agriculture-forestry-and-fishing-value-us/bangladesh/low-income-food-deficit-countries-lifdcs/

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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
263 places, 13,442 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).