Use of interpolation and extrapolation on original Gini coefficient in Malawi

Malawi: Use of interpolation and extrapolation on original Gini coefficient was 1,119 in 2017. ▲ Rising

Latest (2017)
1,119
World rank
155th
of 160 countries
All-time high
1,119
in 2017
All-time low
389.13
in 1850
Years of data
15
1820–2017

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

4006008001.0k1.2k1820191820171820: 443.71850: 389.11870: 480.31890: 480.31910: 480.31929: 480.31950: 5161960: 6281970: 7131980: 1.0k1990: 8612000: 9672005: 9202010: 1.1k2017: 1.1k

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

Analysis

In 2017, use of interpolation and extrapolation on original gini coefficient data in Malawi stood at 1,119. That is the highest value across all 15 years on record.

The figure is up 21.6% over ten years.

Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Malawi peaked at 1,119 in 2017 and was at its lowest, 389.13, in 1850.

Malawi ranks 155th of 160 countries on this measure, in the bottom quarter.

The long-run direction has been consistently rising across the 15 years of available data.

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

Annual values for Use of interpolation and extrapolation on original Gini coefficient data in Malawi, 1820 to 2017.
Year Value Change
1820 443.66 —
1850 389.13 -12.3%
1870 480.26 +23.4%
1890 480.26 +0.0%
1910 480.26 +0.0%
1929 480.26 +0.0%
1950 516 +7.4%
1960 628 +21.7%
1970 713 +13.5%
1980 1,004 +40.8%
1990 861 -14.2%
2000 967 +12.3%
2005 920 -4.9%
2010 1,092 +18.7%
2017 1,119 +2.5%

Malawi compared with similar countries

  • Malawi's 1,119 is below the median for low income countries, which is 1,629, 69% of the median. (21 countries reporting)
  • Malawi's 1,119 is below the median for Sub-Saharan Africa, which is 2,331, 48% of the median. (44 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1820s 443.66 443.66 443.66 1
1850s 389.13 389.13 389.13 1
1870s 480.26 480.26 480.26 1
1890s 480.26 480.26 480.26 1
1910s 480.26 480.26 480.26 1
1920s 480.26 480.26 480.26 1
1950s 516 516 516 1
1960s 628 628 628 1
1970s 713 713 713 1
1980s 1,004 1,004 1,004 1
1990s 861 861 861 1
2000s 943.5 920 967 2
2010s 1,106 1,092 1,119 2

Countries ranked near Malawi

  1. 152 Togo 1,418 compare
  2. 153 Madagascar 1,400 compare
  3. 154 Mozambique 1,125 compare
  4. 156 Niger 935 compare
  5. 157 Democratic Republic of Congo 839 compare
  6. 158 Liberia 829 compare

See the full ranking of 160 places →

More poverty & inequality data for Malawi

All data for Malawi →

Frequently asked questions

What is use of interpolation and extrapolation on original gini coefficient data in Malawi?
Use of interpolation and extrapolation on original gini coefficient data in Malawi was 1,119 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 Malawi?
The highest recorded value was 1,119 in 2017.
What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Malawi?
The lowest recorded value was 389.13 in 1850.
How does Malawi rank for use of interpolation and extrapolation on original gini coefficient data?
Malawi ranks 155th out of 160 countries with data for 2017.
Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Malawi?
Over the last ten years it is up 21.6%. The long-run trend across the full record is rising.
Where does this Malawi 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 Malawi. Statizoid, drawing on Various sources (2020) – processed by Our World in Data. Retrieved 14 October 2026, from https://poverty.statizoid.com/stat/use-of-interpolation-and-extrapolation-on-gini-data/malawi/

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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.