Bangladesh's textiles and clothing (% of value added in manufacturing) was 56.62% in 2020, the latest year in the World Bank's World Development Indicators.
Key figures
| Value | Year | |
|---|---|---|
| Latest | 56.62% | 2020 |
| Highest | 56.81% | 2018 |
| Lowest | 19.8% | 2006 |
| Average since 2012 | 54.82% | 2012–2020 |
| First recorded | 36.21% | 1967 |
Since 1967 it is up 20.41 percentage points from 36.21% in 1967. The World Bank has no value for 22 of the years in between; the chart leaves those gaps open rather than joining across them.
What the numbers say
On record, the biggest yearly rise was 8.43 percentage points in 1969 and the biggest yearly fall was 13.17 percentage points in 1973. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
Closest to Bangladesh in the 2020 ranking
What this measures
Textiles and clothing refers to industries in ISIC (rev. 3) divisions 17-19 and includes manufacturing of textiles, apparel, dyeing of fur, and tanning of leather. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed as a percentage of value added in manufacturing which is the contribution to the economy by the manufacturing sector (ISIC Rev. 3 major division D).
Limitations: In establishing classifications systems compilers must define both the types of activities to be described and the units whose activities are to be reported. There are many possibilities, and the choices affect how the statistics can be interpreted and how useful they are in analyzing economic behavior. The ISIC emphasizes commonalities in the production process and is explicitly not intended to measure outputs (for which there is a newly developed Central Product Classification). Nevertheless, the ISIC views an activity as defined by "a process resulting in a homogeneous set of products."
All 32 values
| Year | Textiles and clothing (% of value added in manufacturing) |
|---|---|
| 2020 | 56.62 |
| 2019 | no data |
| 2018 | 56.81 |
| 2017 | no data |
| 2016 | no data |
| 2015 | no data |
| 2014 | no data |
| 2013 | no data |
| 2012 | 51.04 |
| 2011 | no data |
| 2010 |
Textiles and clothing (% of value added in manufacturing) in nearby economies
More economic policy & debt data for Bangladesh
- Households and NPISHs final consumption expenditure (constant 2015 US$) — US$244.52 billion (2025)
- Households and NPISHs final consumption expenditure (constant LCU) — 23.31 trillion (2025)
- Households and NPISHs final consumption expenditure per capita (constant 2015 US$) — US$1,392 (2025)
- Final consumption expenditure (current US$) — US$356.03 billion (2025)
- Final consumption expenditure (current LCU) — 43.03 trillion (2025)
- Final consumption expenditure (constant 2015 US$) — US$265.37 billion (2025)
- Final consumption expenditure (constant LCU) — 25.51 trillion (2025)
- Final consumption expenditure (% of GDP) — 78.02% (2025)
Reading data like this
Questions people ask
- What is Bangladesh's textiles and clothing (% of value added in manufacturing)?
- 56.62% in 2020, according to the World Bank (World Development Indicators).
- How has it changed since 1967?
- It is up 20.41 percentage points from 36.21% in 1967. The highest value was 56.81% in 2018 and the lowest 19.8% in 2006.
- Where does this data come from?
- The World Bank's World Development Indicators, licensed CC BY 4.0. Original source: International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO).
Source
World Bank, World Development Indicators, indicator NV.MNF.TXTL.ZS.UN, licensed CC BY 4.0. Original source: International Yearbook of Industrial Statistics, UN Industrial Development Organization (UNIDO) Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.
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