Average effective age of retirement for women in Lithuania
Lithuania: Average effective age of retirement for women was 63 years in 2018. ▲ Rising
Average effective age of retirement for women in Lithuania, 1994–2018
Source: OECD (2018) – processed by Our World in Data. Measured in years.
Analysis
Lithuania recorded 63 years for average effective age of retirement for women in 2018. That is the highest value across all 25 years on record.
That represents a change of up 0.8% on the previous year and up 6.1% over ten years.
Over the whole period, average effective age of retirement for women in Lithuania peaked at 63 years in 2018 and was at its lowest, 58.3 years, in 2000.
That places Lithuania 26th out of 49 countries with data for 2018, putting it in the middle of the range.
The long-run direction has been consistently rising across the 25 years of available data.
Average effective age of retirement for women in Lithuania, year by year
| Year | years | Change |
|---|---|---|
| 1994 | 59.8 years | — |
| 1995 | 59.6 years | -0.3% |
| 1996 | 59.4 years | -0.3% |
| 1997 | 59.1 years | -0.5% |
| 1998 | 59.6 years | +0.8% |
| 1999 | 59.7 years | +0.2% |
| 2000 | 58.3 years | -2.3% |
| 2001 | 59.2 years | +1.5% |
| 2002 | 59.1 years | -0.2% |
| 2003 | 58.7 years | -0.7% |
| 2004 | 60.6 years | +3.2% |
| 2005 | 61.4 years | +1.3% |
| 2006 | 58.7 years | -4.4% |
| 2007 | 58.8 years | +0.2% |
| 2008 | 59.4 years | +1.0% |
| 2009 | 59.2 years | -0.3% |
| 2010 | 60.4 years | +2.0% |
| 2011 | 61.8 years | +2.3% |
| 2012 | 61.8 years | +0.0% |
| 2013 | 62.8 years | +1.6% |
| 2014 | 62.7 years | -0.2% |
| 2015 | 62.1 years | -1.0% |
| 2016 | 61.4 years | -1.1% |
| 2017 | 62.5 years | +1.8% |
| 2018 | 63 years | +0.8% |
Lithuania compared with similar countries
- Lithuania's 63 years is above the median for high income countries, which is 63 years, 1.0× the median. (41 countries reporting)
- Lithuania's 63 years is above the median for Europe & Central Asia, which is 62.45 years, 1.0× the median. (32 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 59.53 years | 59.1 years | 59.8 years | 6 |
| 2000s | 59.34 years | 58.3 years | 61.4 years | 10 |
| 2010s | 62.06 years | 60.4 years | 63 years | 9 |
Countries ranked near Lithuania
More gender data for Lithuania
- Child population (UN estimates and projections) 361.11 (2030)
- Child population (UN estimates and projections) (0-14), annual growth -2.94 % change on previous year (2030)
- Population 2,345 (2030)
- Working-age population (UN estimates and projections) 2,345 (2030)
- Population (UN estimates and projections), annual growth rate -0.4774 % change on previous year (2030)
- Age population, age 00, female, interpolated 10,620 (2025)
- Age population, age 00, male, interpolated 11,194 (2025)
- Age population, age 01, female, interpolated 10,662 (2025)
- Age population, age 01, male, interpolated 11,224 (2025)
- Age population, age 02, female, interpolated 10,961 (2025)
Frequently asked questions
- What is average effective age of retirement for women in Lithuania?
- Average effective age of retirement for women in Lithuania was 63 years in 2018, according to OECD (2018) – processed by Our World in Data.
- What is the highest average effective age of retirement for women recorded in Lithuania?
- The highest recorded value was 63 years in 2018.
- What is the lowest average effective age of retirement for women recorded in Lithuania?
- The lowest recorded value was 58.3 years in 2000.
- How does Lithuania rank for average effective age of retirement for women?
- Lithuania ranks 26th out of 49 countries with data for 2018.
- Is average effective age of retirement for women rising or falling in Lithuania?
- Over the last ten years it is up 6.1%. The long-run trend across the full record is rising.
- Where does this Lithuania data come from?
- The figures come from OECD (2018) – processed by Our World in Data, published as part of Average effective age of retirement for women. Statizoid updates them automatically from the source API.
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About this data
Estimates are based on a weighted average of changes in labour force participation rates by age, for workers 40+