Congo, Rep. vs Moldova: Use of interpolation and extrapolation on original Gini coefficient data

Congo, Rep.
5,747
in 2017
Moldova
6,419
in 2017
Congo, Rep. rank
111th
Moldova rank
109th

Use of interpolation and extrapolation on original Gini coefficient data over time

  • Congo, Rep.
  • Moldova
02.0k4.0k6.0k8.0k10.0k182019182017

How they compare

Moldova currently reports 6,419 against 5,747 in Congo, Rep., a difference of 672.

That makes Moldova's figure about 1.1 times Congo, Rep.'s.

The two have swapped places 3 times across 15 shared years of data; in 1820 it was Congo, Rep. ahead.

Congo, Rep. ranks 111th and Moldova ranks 109th of 160 countries.

Across the 13 decades both report, Congo, Rep. averaged higher in 5 and Moldova in 8.

Head to head by decade

Decade Congo, Rep. Moldova Difference Ahead
1820s 1,152 619.98 532.4 Congo, Rep.
1850s 1,011 740.61 270.15 Congo, Rep.
1870s 1,247 910.38 337.06 Congo, Rep.
1890s 1,210 1,223 12.51 Moldova
1910s 1,250 1,904 654.48 Moldova
1920s 1,158 1,957 799.28 Moldova
1950s 1,693 4,013 2,320 Moldova
1960s 1,999 5,572 3,573 Moldova
1970s 2,396 7,874 5,478 Moldova
1980s 3,075 9,078 6,003 Moldova
1990s 3,794 9,835 6,041 Moldova
2000s 4,490 3,532 958 Congo, Rep.
2010s 5,742 5,517 225.5 Congo, Rep.

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, Rep. or Moldova?
Moldova, at 6,419 against 5,747 in Congo, Rep. as of 2017.
What is the difference in use of interpolation and extrapolation on original gini coefficient data between Congo, Rep. and Moldova?
672, with Moldova ahead.
How many years of comparable data are there for Congo, Rep. and Moldova?
15 years are reported by both, from 1820 to 2017.
How do Congo, Rep. and Moldova rank globally for use of interpolation and extrapolation on original gini coefficient data?
Congo, Rep. ranks 111th and Moldova ranks 109th 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

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.