China vs Mongolia: Use of interpolation and extrapolation on original Gini coefficient
China
12,734
in 2017
Mongolia
12,768
in 2017
China rank
77th
Mongolia rank
75th
Use of interpolation and extrapolation on original Gini coefficient over time
- China
- Mongolia
How they compare
Mongolia currently reports 12,768 against 12,734 in China, a difference of 34.
The two have swapped places 1 time across 15 shared years of data; in 1820 it was China ahead.
China ranks 77th and Mongolia ranks 75th of 160 countries.
China has averaged higher in every one of the 13 decades both report.
Head to head by decade
| Decade | China | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 882 | 389.44 | 492.56 | China |
| 1850s | 858 | 392.88 | 465.12 | China |
| 1870s | 945 | 407.02 | 537.98 | China |
| 1890s | 964 | 471.42 | 492.58 | China |
| 1910s | 910.89 | 561.46 | 349.43 | China |
| 1920s | 1,003 | 783.99 | 219.01 | China |
| 1950s | 799 | 677 | 122 | China |
| 1960s | 1,057 | 912 | 145 | China |
| 1970s | 1,398 | 1,226 | 172 | China |
| 1980s | 1,930 | 1,618 | 312 | China |
| 1990s | 2,982 | 2,123 | 859 | China |
| 2000s | 5,678 | 3,879 | 1,800 | China |
| 2010s | 11,196 | 10,299 | 897 | China |
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, China or Mongolia?
- Mongolia, at 12,768 against 12,734 in China as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between China and Mongolia?
- 34, with Mongolia ahead.
- How many years of comparable data are there for China and Mongolia?
- 15 years are reported by both, from 1820 to 2017.
- How do China and Mongolia rank globally for use of interpolation and extrapolation on original gini coefficient data?
- China ranks 77th and Mongolia ranks 75th 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.