Congo vs Myanmar: Use of interpolation and extrapolation on original Gini coefficient data
Congo
5,747
in 2017
Myanmar
5,536
in 2017
Congo rank
111th
Myanmar rank
112th
Use of interpolation and extrapolation on original Gini coefficient data over time
- Congo
- Myanmar
How they compare
Congo currently reports 5,747 against 5,536 in Myanmar, a difference of 211.
The two have swapped places 2 times across 15 shared years of data; in 1820 it was Congo ahead.
Congo ranks 111th and Myanmar ranks 112th of 160 countries.
Across the 13 decades both report, Congo averaged higher in 12 and Myanmar in 1.
Head to head by decade
| Decade | Congo | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 1,152 | 803 | 349.38 | Congo |
| 1850s | 1,011 | 803 | 207.76 | Congo |
| 1870s | 1,247 | 803 | 444.44 | Congo |
| 1890s | 1,210 | 991.83 | 218.47 | Congo |
| 1910s | 1,250 | 954.42 | 295.31 | Congo |
| 1920s | 1,158 | 1,380 | 222.18 | Myanmar |
| 1950s | 1,693 | 631 | 1,062 | Congo |
| 1960s | 1,999 | 899 | 1,100 | Congo |
| 1970s | 2,396 | 1,023 | 1,373 | Congo |
| 1980s | 3,075 | 1,320 | 1,755 | Congo |
| 1990s | 3,794 | 1,253 | 2,541 | Congo |
| 2000s | 4,490 | 2,395 | 2,095 | Congo |
| 2010s | 5,742 | 4,654 | 1,088 | Congo |
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, Congo or Myanmar?
- Congo, at 5,747 against 5,536 in Myanmar as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Congo and Myanmar?
- 211, with Congo ahead.
- How many years of comparable data are there for Congo and Myanmar?
- 15 years are reported by both, from 1820 to 2017.
- How do Congo and Myanmar rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Congo ranks 111th and Myanmar ranks 112th 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.