Italy vs Latvia: Gini coefficient

Italy
0.3434
in 2023
Latvia
0.3397
in 2023
Italy rank
56th
Latvia rank
58th

Gini coefficient over time

  • Italy
  • Latvia
00.10.20.30.4197720002023

How they compare

Italy currently reports 0.3434 against 0.3397 in Latvia, a difference of 0.0037.

The two have swapped places 6 times across 22 shared years of data; in 1993 it was Italy ahead.

Italy ranks 56th and Latvia ranks 58th of 120 countries.

Across the 4 decades both report, Italy averaged higher in 3 and Latvia in 1.

Head to head by decade

Decade Italy Latvia Difference Ahead
1990s 0.3515 0.2899 0.0616 Italy
2000s 0.3372 0.3693 0.0321 Latvia
2010s 0.3508 0.3503 0.0005 Italy
2020s 0.3452 0.344 0.0012 Italy

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gini coefficient, Italy or Latvia?
Italy, at 0.3434 against 0.3397 in Latvia as of 2023.
What is the difference in gini coefficient between Italy and Latvia?
0.0037, with Italy ahead.
How many years of comparable data are there for Italy and Latvia?
22 years are reported by both, from 1993 to 2023.
How do Italy and Latvia rank globally for gini coefficient?
Italy ranks 56th and Latvia ranks 58th of 120 countries.
Where does this data come from?
World Bank Poverty and Inequality Platform (2026) – with major processing by Our World in Data, published as Gini coefficient. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Italy vs Latvia: Gini coefficient. Statizoid, drawing on World Bank Poverty and Inequality Platform (2026) – with major processing by Our World in Data. Retrieved 23 September 2026, from https://poverty.statizoid.com/compare/gini-coefficient-wb/italy/latvia/

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About this data

Indicator
Gini coefficient
Source
World Bank Poverty and Inequality Platform (2026) – with major processing by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
120 places, 2,148 data points, 1963–2025
Last refreshed

The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.