Table Data - Infra-Annual Labor Statistics: Employment Rate Female: From 15 to 24 Years for Lithuania
Title | Infra-Annual Labor Statistics: Employment Rate Female: From 15 to 24 Years for Lithuania |
---|---|
Series ID | LTULREM24FESTSAQ |
Source | Organization for Economic Co-operation and Development |
Release | Main Economic Indicators (Not a Press Release) |
Seasonal Adjustment | Seasonally Adjusted |
Frequency | Quarterly |
Units | Percent |
Date Range | 2005-01-01 to 2024-04-01 |
Last Updated | 2024-10-15 1:55 PM CDT |
Notes | OECD Data Filters: REF_AREA: LTU MEASURE: EMP_WAP UNIT_MEASURE: PT_WAP_SUB TRANSFORMATION: _Z ADJUSTMENT: Y SEX: F AGE: Y15T24 ACTIVITY: _Z FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/. (accessed on (date)). |
DATE | VALUE |
---|---|
2005-01-01 | 16.670120000000000 |
2005-04-01 | 16.574810000000000 |
2005-07-01 | 17.961070000000000 |
2005-10-01 | 18.284310000000000 |
2006-01-01 | 20.035480000000000 |
2006-04-01 | 21.624229999999997 |
2006-07-01 | 20.713279999999997 |
2006-10-01 | 21.105780000000000 |
2007-01-01 | 20.153640000000000 |
2007-04-01 | 20.250570000000000 |
2007-07-01 | 20.282610000000002 |
2007-10-01 | 19.032640000000000 |
2008-01-01 | 21.419810000000002 |
2008-04-01 | 21.019579999999998 |
2008-07-01 | 22.874480000000000 |
2008-10-01 | 21.784340000000000 |
2009-01-01 | 20.247310000000000 |
2009-04-01 | 20.697750000000000 |
2009-07-01 | 19.091310000000000 |
2009-10-01 | 20.222250000000000 |
2010-01-01 | 18.939130000000000 |
2010-04-01 | 15.858650000000000 |
2010-07-01 | 17.180790000000000 |
2010-10-01 | 17.609310000000000 |
2011-01-01 | 17.617520000000003 |
2011-04-01 | 17.174460000000000 |
2011-07-01 | 16.850980000000000 |
2011-10-01 | 16.413470000000000 |
2012-01-01 | 19.194350000000000 |
2012-04-01 | 21.874940000000000 |
2012-07-01 | 19.813760000000002 |
2012-10-01 | 19.661080000000000 |
2013-01-01 | 20.713140000000000 |
2013-04-01 | 21.927840000000000 |
2013-07-01 | 21.837710000000000 |
2013-10-01 | 21.624400000000000 |
2014-01-01 | 23.272129999999997 |
2014-04-01 | 24.037879999999998 |
2014-07-01 | 24.479129999999998 |
2014-10-01 | 24.390560000000000 |
2015-01-01 | 24.746650000000000 |
2015-04-01 | 25.858439999999998 |
2015-07-01 | 24.042130000000000 |
2015-10-01 | 28.062780000000000 |
2016-01-01 | 28.731670000000000 |
2016-04-01 | 26.397290000000000 |
2016-07-01 | 28.202470000000000 |
2016-10-01 | 27.962670000000003 |
2017-01-01 | 26.767500000000000 |
2017-04-01 | 31.573150000000000 |
2017-07-01 | 27.746020000000000 |
2017-10-01 | 27.588170000000000 |
2018-01-01 | 29.565959999999997 |
2018-04-01 | 30.715620000000000 |
2018-07-01 | 33.147059999999996 |
2018-10-01 | 29.100630000000000 |
2019-01-01 | 31.785620000000000 |
2019-04-01 | 31.819509999999998 |
2019-07-01 | 34.577210000000000 |
2019-10-01 | 31.244030000000000 |
2020-01-01 | 29.606070000000003 |
2020-04-01 | 28.620100000000000 |
2020-07-01 | 26.752770000000000 |
2020-10-01 | 28.111279999999997 |
2021-01-01 | 27.800820000000000 |
2021-04-01 | 27.908079999999998 |
2021-07-01 | 28.917990000000003 |
2021-10-01 | 32.623720000000000 |
2022-01-01 | 31.980659999999997 |
2022-04-01 | 32.660440000000000 |
2022-07-01 | 33.031330000000000 |
2022-10-01 | 31.523459999999996 |
2023-01-01 | 30.854020000000002 |
2023-04-01 | 30.519309999999997 |
2023-07-01 | 30.946490000000000 |
2023-10-01 | 33.859220000000000 |
2024-01-01 | 29.661579999999997 |
2024-04-01 | 28.364959999999996 |