Bangladesh's machinery and transport equipment (% of value added in manufacturing) was 3.88% in 2020, the latest year in the World Bank's World Development Indicators.
Key figures
| Value | Year | |
|---|---|---|
| Latest | 3.88% | 2020 |
| Highest | 10.94% | 2006 |
| Lowest | 0.69% | 1971 |
| Average since 2012 | 3.24% | 2012–2020 |
| First recorded | 1.06% | 1967 |
Since 1967 it is up 2.83 percentage points from 1.06% 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 1.4 percentage points in 1981 and the biggest yearly fall was 1.02 percentage points in 1971. 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
Machinery and transport equipment manufacturing includes industries classified in ISIC (Rev. 3) divisions 29-35. 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 | Machinery and transport equipment (% of value added in manufacturing) |
|---|---|
| 2020 | 3.88 |
| 2019 | no data |
| 2018 | 3.58 |
| 2017 | no data |
| 2016 | no data |
| 2015 | no data |
| 2014 | no data |
| 2013 | no data |
| 2012 | 2.27 |
| 2011 | no data |
| 2010 |
Machinery and transport equipment (% 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 machinery and transport equipment (% of value added in manufacturing)?
- 3.88% in 2020, according to the World Bank (World Development Indicators).
- How has it changed since 1967?
- It is up 2.83 percentage points from 1.06% in 1967. The highest value was 10.94% in 2006 and the lowest 0.69% in 1971.
- 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.MTRN.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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