Lithuania - Labor force, female (% of total labor force)

Labor force, female (% of total labor force) in Lithuania was 50.63 as of 2017. Its highest value over the past 27 years was 50.63 in 2017, while its lowest value was 46.84 in 1991.

Definition: Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period.

Source: Derived using data from International Labour Organization, ILOSTAT database and World Bank population estimates. Labor data retrieved in November 2017.

See also:

Year Value
1990 46.85
1991 46.84
1992 46.85
1993 46.87
1994 46.92
1995 46.99
1996 47.11
1997 47.28
1998 47.46
1999 48.84
2000 49.47
2001 49.16
2002 48.78
2003 49.65
2004 49.01
2005 49.11
2006 49.55
2007 49.36
2008 49.50
2009 50.38
2010 50.62
2011 50.40
2012 50.62
2013 50.14
2014 50.18
2015 50.47
2016 50.60
2017 50.63

Statistical Concept and Methodology: The labor force is the supply of labor available for producing goods and services in an economy. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave. Data are generated with World Bank population estimates and ILO estimates on labor force participation rate. The ILO estimates are harmonized to ensure comparability across countries and over time by accounting for differences in data source, scope of coverage, methodology, and other country-specific factors. The estimates are based mainly on nationally representative labor force surveys, with other sources (population censuses and nationally reported estimates) used only when no survey data are available.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: Data up to 2016 are estimates while data from 2017 are projections.

Classification

Topic: Labor & Social Protection Indicators

Sub-Topic: Labor force structure