Use of interpolation and extrapolation on original Gini coefficient in Italy

Italy: Use of interpolation and extrapolation on original Gini coefficient was 34,027 in 2017. ◆ Volatile

Latest (2017)
34,027
World rank
28th
of 160 countries
All-time high
34,872
in 2005
All-time low
2,611
in 1850
Years of data
15
1820–2017

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

010.0k20.0k30.0k1820191820171820: 2.7k1850: 2.6k1870: 2.8k1890: 3.0k1910: 3.8k1929: 4.9k1950: 5.6k1960: 9.4k1970: 15.5k1980: 21.0k1990: 26.0k2000: 32.7k2005: 34.9k2010: 34.8k2017: 34.0k

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

Analysis

In 2017, use of interpolation and extrapolation on original gini coefficient data in Italy stood at 34,027.

Compared with earlier readings it is down 2.4% over ten years.

Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Italy peaked at 34,872 in 2005 and was at its lowest, 2,611, in 1850.

That places Italy 28th out of 160 countries with data for 2017, putting it in the top quarter.

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 Italy, year by year

Annual values for Use of interpolation and extrapolation on original Gini coefficient data in Italy, 1820 to 2017.
Year Value Change
1820 2,665 —
1850 2,611 -2.0%
1870 2,826 +8.2%
1890 2,974 +5.2%
1910 3,829 +28.7%
1929 4,889 +27.7%
1950 5,582 +14.2%
1960 9,430 +68.9%
1970 15,492 +64.3%
1980 20,959 +35.3%
1990 26,003 +24.1%
2000 32,717 +25.8%
2005 34,872 +6.6%
2010 34,766 -0.3%
2017 34,027 -2.1%

Italy compared with similar countries

  • Italy's 34,027 is below the median for high income countries, which is 35,158, 97% of the median. (50 countries reporting)
  • Italy's 34,027 is above the median for Europe & Central Asia, which is 24,814, 1.4× the median. (46 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1820s 2,665 2,665 2,665 1
1850s 2,611 2,611 2,611 1
1870s 2,826 2,826 2,826 1
1890s 2,974 2,974 2,974 1
1910s 3,829 3,829 3,829 1
1920s 4,889 4,889 4,889 1
1950s 5,582 5,582 5,582 1
1960s 9,430 9,430 9,430 1
1970s 15,492 15,492 15,492 1
1980s 20,959 20,959 20,959 1
1990s 26,003 26,003 26,003 1
2000s 33,794 32,717 34,872 2
2010s 34,396 34,027 34,766 2

Countries ranked near Italy

  1. 25 South Korea 37,093 compare
  2. 26 Puerto Rico 35,439 compare
  3. 27 New Zealand 34,876 compare
  4. 29 Israel 32,339 compare
  5. 30 Equatorial Guinea 31,048 compare
  6. 31 Spain 30,908 compare

See the full ranking of 160 places →

More poverty & inequality data for Italy

All data for Italy →

Frequently asked questions

What is use of interpolation and extrapolation on original gini coefficient data in Italy?
Use of interpolation and extrapolation on original gini coefficient data in Italy was 34,027 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 Italy?
The highest recorded value was 34,872 in 2005.
What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Italy?
The lowest recorded value was 2,611 in 1850.
How does Italy rank for use of interpolation and extrapolation on original gini coefficient data?
Italy ranks 28th out of 160 countries with data for 2017.
Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Italy?
Over the last ten years it is down 2.4%. The long-run trend across the full record is volatile.
Where does this Italy 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 Italy. Statizoid, drawing on Various sources (2020) – processed by Our World in Data. Retrieved 12 October 2026, from https://poverty.statizoid.com/stat/use-of-interpolation-and-extrapolation-on-gini-data/italy/

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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.