Libya vs Mongolia: Use of interpolation and extrapolation on original Gini coefficient data
Libya
13,008
in 2017
Mongolia
12,768
in 2017
Libya rank
72nd
Mongolia rank
75th
Use of interpolation and extrapolation on original Gini coefficient data over time
- Libya
- Mongolia
How they compare
Libya currently reports 13,008 against 12,768 in Mongolia, a difference of 240.
The two have swapped places 3 times across 15 shared years of data; in 1820 it was Mongolia ahead.
Libya ranks 72nd and Mongolia ranks 75th of 160 countries.
Across the 13 decades both report, Libya averaged higher in 10 and Mongolia in 3.
Head to head by decade
| Decade | Libya | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 341.16 | 389.44 | 48.27 | Mongolia |
| 1850s | 394.86 | 392.88 | 1.98 | Libya |
| 1870s | 432.01 | 407.02 | 24.98 | Libya |
| 1890s | 482.07 | 471.42 | 10.65 | Libya |
| 1910s | 581.85 | 561.46 | 20.39 | Libya |
| 1920s | 560.13 | 783.99 | 223.86 | Mongolia |
| 1950s | 620 | 677 | 57 | Mongolia |
| 1960s | 1,323 | 912 | 411 | Libya |
| 1970s | 6,591 | 1,226 | 5,365 | Libya |
| 1980s | 8,741 | 1,618 | 7,123 | Libya |
| 1990s | 4,921 | 2,123 | 2,798 | Libya |
| 2000s | 13,155 | 3,879 | 9,276 | Libya |
| 2010s | 21,082 | 10,299 | 10,784 | Libya |
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, Libya or Mongolia?
- Libya, at 13,008 against 12,768 in Mongolia as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Libya and Mongolia?
- 240, with Libya ahead.
- How many years of comparable data are there for Libya and Mongolia?
- 15 years are reported by both, from 1820 to 2017.
- How do Libya and Mongolia rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Libya ranks 72nd 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.