Bangladesh vs Zambia: Use of interpolation and extrapolation on original Gini coefficient

Bangladesh
3,837
in 2017
Zambia
3,498
in 2017
Bangladesh rank
121st
Zambia rank
124th

Use of interpolation and extrapolation on original Gini coefficient over time

  • Bangladesh
  • Zambia
01.0k2.0k3.0k4.0k182019182017

How they compare

Bangladesh currently reports 3,837 against 3,498 in Zambia, a difference of 339.

That makes Bangladesh's figure about 1.1 times Zambia's.

The two have swapped places 4 times across 15 shared years of data; in 1820 it was Bangladesh ahead.

Bangladesh ranks 121st and Zambia ranks 124th of 160 countries.

Across the 13 decades both report, Bangladesh averaged higher in 7 and Zambia in 6.

Head to head by decade

Decade Bangladesh Zambia Difference Ahead
1820s 595.71 469.01 126.7 Bangladesh
1850s 603.13 411.37 191.76 Bangladesh
1870s 668.06 507.7 160.36 Bangladesh
1890s 773.37 507.7 265.67 Bangladesh
1910s 902.69 574.53 328.16 Bangladesh
1920s 942.71 542.65 400.05 Bangladesh
1950s 861 1,054 193 Zambia
1960s 869 1,530 661 Zambia
1970s 1,004 1,710 706 Zambia
1980s 875 1,452 577 Zambia
1990s 1,006 1,285 279 Zambia
2000s 1,706 1,700 6 Bangladesh
2010s 3,218 3,265 47 Zambia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher use of interpolation and extrapolation on original gini coefficient data, Bangladesh or Zambia?
Bangladesh, at 3,837 against 3,498 in Zambia as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Bangladesh and Zambia?
339, with Bangladesh ahead.
How many years of comparable data are there for Bangladesh and Zambia?
15 years are reported by both, from 1820 to 2017.
How do Bangladesh and Zambia rank globally for use of interpolation and extrapolation on original gini coefficient data?
Bangladesh ranks 121st and Zambia ranks 124th of 160 countries.
Where does this data come from?
Various sources (2020) – processed by Our World in Data, published as Use of interpolation and extrapolation on original Gini coefficient data. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Bangladesh vs Zambia: Use of interpolation and extrapolation on original Gini coefficient data. Statizoid, drawing on Various sources (2020) – processed by Our World in Data. Retrieved 13 October 2026, from https://poverty.statizoid.com/compare/use-of-interpolation-and-extrapolation-on-gini-data/bangladesh/zambia/

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About this data

Indicator
Use of interpolation and extrapolation on original Gini coefficient data
Source
Various sources (2020) – processed by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
160 places, 2,400 data points, 1820–2017
Last refreshed

In order to produce global estimates of historical poverty trends we have interpolated or extrapolated inequality data for missing observations. Green indicates observations of the Gini coefficient available in the original source.