Use of interpolation and extrapolation on original Gini coefficient in Mongolia

Mongolia: Use of interpolation and extrapolation on original Gini coefficient was 12,768 in 2017. ◆ Volatile

Latest (2017)
12,768
World rank
75th
of 160 countries
All-time high
12,768
in 2017
All-time low
389.44
in 1820
Years of data
15
1820–2017

Use of interpolation and extrapolation on original Gini coefficient data in Mongolia, 1820–2017

02.5k5.0k7.5k10.0k12.5k1820191820171820: 389.41850: 392.91870: 4071890: 471.41910: 561.51929: 7841950: 6771960: 9121970: 1.2k1980: 1.6k1990: 2.1k2000: 2.9k2005: 4.8k2010: 7.8k2017: 12.8k

Source: Various sources (2020) – processed by Our World in Data.

Analysis

In 2017, use of interpolation and extrapolation on original gini coefficient data in Mongolia stood at 12,768. That is the highest value across all 15 years on record.

That represents a change of up 164.8% over ten years.

Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Mongolia peaked at 12,768 in 2017 and was at its lowest, 389.44, in 1820.

That places Mongolia 75th out of 160 countries with data for 2017, putting it in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Use of interpolation and extrapolation on original Gini coefficient in Mongolia, year by year

Annual values for Use of interpolation and extrapolation on original Gini coefficient data in Mongolia, 1820 to 2017.
Year Value Change
1820 389.44 —
1850 392.88 +0.9%
1870 407.02 +3.6%
1890 471.42 +15.8%
1910 561.46 +19.1%
1929 783.99 +39.6%
1950 677 -13.6%
1960 912 +34.7%
1970 1,226 +34.4%
1980 1,618 +32.0%
1990 2,123 +31.2%
2000 2,936 +38.3%
2005 4,822 +64.2%
2010 7,830 +62.4%
2017 12,768 +63.1%

Mongolia compared with similar countries

  • Mongolia's 12,768 is above the median for upper middle income countries, which is 12,753, 1.0× the median. (47 countries reporting)
  • Mongolia's 12,768 is above the median for East Asia & Pacific, which is 12,768, 1.0× the median. (17 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1820s 389.44 389.44 389.44 1
1850s 392.88 392.88 392.88 1
1870s 407.02 407.02 407.02 1
1890s 471.42 471.42 471.42 1
1910s 561.46 561.46 561.46 1
1920s 783.99 783.99 783.99 1
1950s 677 677 677 1
1960s 912 912 912 1
1970s 1,226 1,226 1,226 1
1980s 1,618 1,618 1,618 1
1990s 2,123 2,123 2,123 1
2000s 3,879 2,936 4,822 2
2010s 10,299 7,830 12,768 2

Countries ranked near Mongolia

  1. 72 Libya 13,008 compare
  2. 73 Lebanon 12,881 compare
  3. 74 Venezuela 12,879 compare
  4. 76 North Macedonia 12,753 compare
  5. 77 China 12,734 compare
  6. 78 South Africa 12,189 compare

See the full ranking of 160 places →

More poverty & inequality data for Mongolia

All data for Mongolia →

Frequently asked questions

What is use of interpolation and extrapolation on original gini coefficient data in Mongolia?
Use of interpolation and extrapolation on original gini coefficient data in Mongolia was 12,768 in 2017, according to Various sources (2020) – processed by Our World in Data.
What is the highest use of interpolation and extrapolation on original gini coefficient data recorded in Mongolia?
The highest recorded value was 12,768 in 2017.
What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Mongolia?
The lowest recorded value was 389.44 in 1820.
How does Mongolia rank for use of interpolation and extrapolation on original gini coefficient data?
Mongolia ranks 75th out of 160 countries with data for 2017.
Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Mongolia?
Over the last ten years it is up 164.8%. The long-run trend across the full record is volatile.
Where does this Mongolia data come from?
The figures come from Various sources (2020) – processed by Our World in Data, published as part of Use of interpolation and extrapolation on original Gini coefficient data. Statizoid updates them automatically from the source API.

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Use of interpolation and extrapolation on original Gini coefficient data in Mongolia. Statizoid, drawing on Various sources (2020) – processed by Our World in Data. Retrieved 13 October 2026, from https://poverty.statizoid.com/stat/use-of-interpolation-and-extrapolation-on-gini-data/mongolia/

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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.