Gross National Income — Value Standard Local Currency in Bangladesh

Bangladesh: Gross National Income — Value Standard Local Currency was 46.70 million million SLC in 2023. ◆ Volatile

Latest (2023)
46.70 million million SLC
Change on year
up 13.1%
World rank
27th
of 202 countries
All-time high
46.70 million million SLC
in 2023
All-time low
39,209 million SLC
in 1972
Years of data
54
1970–2023

Gross National Income — Value Standard Local Currency in Bangladesh, 1970–2023

010.0M20.0M30.0M40.0M50.0M197019962023

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

Analysis

Bangladesh recorded 46.70 million million SLC for gross national income — value standard local currency in 2023. That is the highest value across all 54 years on record.

That represents a change of up 13.1% on the previous year and up 220.0% over ten years.

Over the whole period, gross national income — value standard local currency in Bangladesh peaked at 46.70 million million SLC in 2023 and was at its lowest, 39,209 million SLC, in 1972.

That places Bangladesh 27th out of 202 countries with data for 2023, putting it in the top quarter.

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

Gross National Income — Value Standard Local Currency in Bangladesh, year by year

Annual values for Gross National Income — Value Standard Local Currency in Bangladesh, 1970 to 2023.
Year million SLC Change
1970 44,858 million SLC
1971 43,656 million SLC -2.7%
1972 39,209 million SLC -10.2%
1973 65,390 million SLC +66.8%
1974 98,916 million SLC +51.3%
1975 162,325 million SLC +64.1%
1976 144,047 million SLC -11.3%
1977 151,602 million SLC +5.2%
1978 190,658 million SLC +25.8%
1979 229,026 million SLC +20.1%
1980 259,799 million SLC +13.4%
1981 308,929 million SLC +18.9%
1982 344,787 million SLC +11.6%
1983 398,214 million SLC +15.5%
1984 478,315 million SLC +20.1%
1985 541,092 million SLC +13.1%
1986 622,606 million SLC +15.1%
1987 722,342 million SLC +16.0%
1988 804,172 million SLC +11.3%
1989 888,202 million SLC +10.4%
1990 989,389 million SLC +11.4%
1991 1.12 million million SLC +13.3%
1992 1.22 million million SLC +9.2%
1993 1.29 million million SLC +5.2%
1994 1.40 million million SLC +8.4%
1995 1.57 million million SLC +12.5%
1996 1.71 million million SLC +9.0%
1997 1.87 million million SLC +8.9%
1998 2.07 million million SLC +10.8%
1999 2.27 million million SLC +10.0%
2000 2.46 million million SLC +8.2%
2001 2.62 million million SLC +6.7%
2002 2.86 million million SLC +8.9%
2003 3.17 million million SLC +11.0%
2004 3.51 million million SLC +10.5%
2005 3.90 million million SLC +11.2%
2006 5.10 million million SLC +30.8%
2007 5.95 million million SLC +16.8%
2008 7.01 million million SLC +17.7%
2009 8.01 million million SLC +14.3%
2010 9.23 million million SLC +15.2%
2011 10.76 million million SLC +16.6%
2012 12.68 million million SLC +17.8%
2013 14.59 million million SLC +15.1%
2014 16.43 million million SLC +12.5%
2015 18.82 million million SLC +14.6%
2016 21.73 million million SLC +15.5%
2017 24.05 million million SLC +10.7%
2018 27.45 million million SLC +14.1%
2019 30.72 million million SLC +11.9%
2020 33.02 million million SLC +7.5%
2021 37.16 million million SLC +12.5%
2022 41.29 million million SLC +11.1%
2023 46.70 million million SLC +13.1%

Averages by decade

DecadeAverage LowestHighest Years
1970s 116,969 million SLC 39,209 million SLC 229,026 million SLC 10
1980s 536,846 million SLC 259,799 million SLC 888,202 million SLC 10
1990s 1.55 million million SLC 989,389 million SLC 2.27 million million SLC 10
2000s 4.46 million million SLC 2.46 million million SLC 8.01 million million SLC 10
2010s 18.65 million million SLC 9.23 million million SLC 30.72 million million SLC 10
2020s 39.54 million million SLC 33.02 million million SLC 46.70 million million SLC 4

Countries ranked near Bangladesh

  1. 24 Mongolia 59.26 million million SLC compare
  2. 25 Angola 59.11 million million SLC compare
  3. 26 Sudan 48.99 million million SLC compare
  4. 28 Costa Rica 43.80 million million SLC compare
  5. 29 Algeria 33.15 million million SLC compare
  6. 30 Mexico 31.07 million million SLC compare

See the full ranking of 218 places →

More economy & growth data for Bangladesh

All data for Bangladesh →

Frequently asked questions

What is gross national income — value standard local currency in Bangladesh?
Gross national income — value standard local currency in Bangladesh was 46.70 million million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross national income — value standard local currency recorded in Bangladesh?
The highest recorded value was 46.70 million million SLC in 2023.
What is the lowest gross national income — value standard local currency recorded in Bangladesh?
The lowest recorded value was 39,209 million SLC in 1972.
How does Bangladesh rank for gross national income — value standard local currency?
Bangladesh ranks 27th out of 202 countries with data for 2023.
Is gross national income — value standard local currency rising or falling in Bangladesh?
Over the last ten years it is up 220.0%. The long-run trend across the full record is volatile.
Where does this Bangladesh data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross National Income — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Gross National Income — Value Standard Local Currency in Bangladesh. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 06 September 2026, from https://economy.statizoid.com/stat/gross-national-income-value-standard-local-currency/bangladesh/

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About this data

Indicator
Gross National Income — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
218 places, 10,840 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).