Botswana vs Mexico: Use of interpolation and extrapolation on original Gini coefficient data
Botswana
15,397
in 2017
Mexico
16,309
in 2017
Botswana rank
64th
Mexico rank
62nd
Use of interpolation and extrapolation on original Gini coefficient data over time
- Botswana
- Mexico
How they compare
Mexico currently reports 16,309 against 15,397 in Botswana, a difference of 912.
That makes Mexico's figure about 1.1 times Botswana's.
Across all 15 years both countries report, Mexico has been ahead every year.
Botswana ranks 64th and Mexico ranks 62nd of 160 countries.
Mexico has averaged higher in every one of the 13 decades both report.
Head to head by decade
| Decade | Botswana | Mexico | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 391.49 | 1,007 | 615.51 | Mexico |
| 1850s | 343.38 | 1,054 | 710.62 | Mexico |
| 1870s | 423.78 | 1,046 | 622.22 | Mexico |
| 1890s | 423.78 | 1,568 | 1,144 | Mexico |
| 1910s | 423.78 | 2,240 | 1,816 | Mexico |
| 1920s | 423.78 | 2,424 | 2,000 | Mexico |
| 1950s | 489 | 3,510 | 3,021 | Mexico |
| 1960s | 564 | 4,723 | 4,159 | Mexico |
| 1970s | 907 | 6,873 | 5,966 | Mexico |
| 1980s | 2,348 | 9,929 | 7,581 | Mexico |
| 1990s | 5,267 | 9,699 | 4,432 | Mexico |
| 2000s | 8,921 | 13,134 | 4,214 | Mexico |
| 2010s | 13,971 | 15,503 | 1,532 | Mexico |
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, Botswana or Mexico?
- Mexico, at 16,309 against 15,397 in Botswana as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Botswana and Mexico?
- 912, with Mexico ahead.
- How many years of comparable data are there for Botswana and Mexico?
- 15 years are reported by both, from 1820 to 2017.
- How do Botswana and Mexico rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Botswana ranks 64th and Mexico ranks 62nd 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.
Individual pages
About this data
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.