Income inequality: Gini coefficient before and after tax in Lithuania

Lithuania: Income inequality: Gini coefficient before and after tax was 0.3548 in 2023. ▲ Rising

Latest (2023)
0.3548
Change on year
down 1.4%
World rank
9th
of 39 countries
All-time high
0.3805
in 2014
All-time low
0.3208
in 2011
Years of data
20
2004–2023

Income inequality: Gini coefficient before and after tax in Lithuania, 2004–2023

00.10.20.30.42004201320232004: 0.3492005: 0.3522006: 0.3282007: 0.3372008: 0.3572009: 0.3652010: 0.3292011: 0.3212012: 0.352013: 0.3512014: 0.382015: 0.3722016: 0.3782017: 0.3742018: 0.3612019: 0.3572020: 0.3572021: 0.3662022: 0.362023: 0.355

Source: OECD (2026) – with minor processing by Our World in Data.

Analysis

Lithuania recorded 0.3548 for income inequality: gini coefficient before and after tax in 2023.

That represents a change of down 1.4% on the previous year and up 1.1% over ten years.

Over the whole period, income inequality: gini coefficient before and after tax in Lithuania peaked at 0.3805 in 2014 and was at its lowest, 0.3208, in 2011.

Lithuania ranks 9th of 39 countries on this measure, in the top quarter.

The long-run direction has been consistently rising across the 20 years of available data.

Income inequality: Gini coefficient before and after tax in Lithuania, year by year

Annual values for Income inequality: Gini coefficient before and after tax in Lithuania, 2004 to 2023.
Year Value Change
2004 0.3493
2005 0.3517 +0.7%
2006 0.3284 -6.6%
2007 0.3369 +2.6%
2008 0.3572 +6.0%
2009 0.365 +2.2%
2010 0.3285 -10.0%
2011 0.3208 -2.3%
2012 0.3499 +9.1%
2013 0.3509 +0.3%
2014 0.3805 +8.4%
2015 0.3716 -2.3%
2016 0.3775 +1.6%
2017 0.3737 -1.0%
2018 0.3612 -3.3%
2019 0.357 -1.1%
2020 0.3566 -0.1%
2021 0.3664 +2.8%
2022 0.36 -1.8%
2023 0.3548 -1.4%

Averages by decade

DecadeAverage LowestHighest Years
2000s 0.3481 0.3284 0.365 6
2010s 0.3572 0.3208 0.3805 10
2020s 0.3594 0.3548 0.3664 4

Countries ranked near Lithuania

  1. 6 United States of America 0.3944 compare
  2. 7 Bulgaria 0.3847 compare
  3. 8 United Kingdom of Great Britain and Northern Ireland 0.367 compare
  4. 10 Israel 0.3449 compare
  5. 11 Latvia 0.3399 compare
  6. 12 New Zealand 0.326 compare

See the full ranking of 39 places →

More poverty & inequality data for Lithuania

All data for Lithuania →

Frequently asked questions

What is income inequality: gini coefficient before and after tax in Lithuania?
Income inequality: gini coefficient before and after tax in Lithuania was 0.3548 in 2023, according to OECD (2026) – with minor processing by Our World in Data.
What is the highest income inequality: gini coefficient before and after tax recorded in Lithuania?
The highest recorded value was 0.3805 in 2014.
What is the lowest income inequality: gini coefficient before and after tax recorded in Lithuania?
The lowest recorded value was 0.3208 in 2011.
How does Lithuania rank for income inequality: gini coefficient before and after tax?
Lithuania ranks 9th out of 39 countries with data for 2023.
Is income inequality: gini coefficient before and after tax rising or falling in Lithuania?
Over the last ten years it is up 1.1%. The long-run trend across the full record is rising.
Where does this Lithuania data come from?
The figures come from OECD (2026) – with minor processing by Our World in Data, published as part of Income inequality: Gini coefficient before and after tax. Statizoid updates them automatically from the source API.

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Income inequality: Gini coefficient before and after tax in Lithuania. Statizoid, drawing on OECD (2026) – with minor processing by Our World in Data. Retrieved 07 September 2026, from https://poverty.statizoid.com/stat/inequality-of-incomes-before-and-after-taxes-and-transfers-scatter/lithuania/

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About this data

Indicator
Income inequality: Gini coefficient before and after tax
Source
OECD (2026) – with minor processing by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
39 places, 607 data points, 1999–2024
Last refreshed

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