Observed trade data · 2010 to 2019

Bangladesh in US apparel sourcing

Explore how sourcing changed around Rana Plaza. These data describe imports; they do not estimate the effects of GSP suspension or measure worker safety.

Bangladesh share in 2018

6.26%

of US apparel import value

Share change from 2012 to 2018

+0.657 pp

percentage points, all apparel

Nominal value change

+20.1%

2012 to 2018, current US dollars

The headline comparison stays fixed at the planned 2012 to 2018 contrast. Chart controls below explore other views.

Compare sourcing patterns

Supplier origins

All apparel (HS 61 + 62) · Share of US imports (%) · 2010 to 2018

2013 marks Rana Plaza and several distinct responses. The line is a date reference, not an estimated treatment break. All vertical axes start at zero; their upper bounds adjust to the selected data. Market shares use world imports in the selected chapter. Index values use each supplier's own 2012 value in that chapter.

View exact chart values in a table
Share of US imports (%). Display rounded to 3 decimals; CSV retains full precision.
YearBangladeshVietnamIndiaCambodia
20105.3728.0284.4193.058
20115.6028.3404.3363.280
20125.6039.0374.0143.260
20136.0159.9664.0713.153
20145.67811.1024.1972.994
20156.12312.1924.3432.887
20166.32213.1554.5522.637
20176.05714.1824.6372.670
20186.26014.5284.6412.911

What accounts for the share gain?

Between 2012 and 2018, Bangladesh gained share within both apparel chapters. US demand shifted toward knit apparel, where Bangladesh had a smaller market share, partly offsetting those gains.

Gains within chapters
+0.804 pp
Changing US market composition
-0.147 pp
Observed total share change
+0.657 pp

Exact symmetric decomposition in percentage points. This accounting identity does not establish why the chapter shares changed.

Read the evidence within its scope

  • US-reported imports are one destination's sourcing data, not Bangladesh's worldwide exports.
  • Nominal dollar growth combines prices, quantities and product mix. It is not export volume.
  • Comparator suppliers provide context. They are not validated counterfactual controls.
  • Factory safety, wages and employment require separate evidence.
Question, policy timeline and methods