Table Data - Infra-Annual Labor Statistics: Working-Age Population Female: From 15 to 24 Years for Lithuania
Title | Infra-Annual Labor Statistics: Working-Age Population Female: From 15 to 24 Years for Lithuania |
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Series ID | LTULFWA24FESTQ |
Source | Organization for Economic Co-operation and Development |
Release | Main Economic Indicators (Not a Press Release) |
Seasonal Adjustment | Not Seasonally Adjusted |
Frequency | Quarterly |
Units | Persons |
Date Range | 2005-01-01 to 2024-04-01 |
Last Updated | 2024-10-15 2:26 PM CDT |
Notes | OECD Data Filters: REF_AREA: LTU MEASURE: WAP UNIT_MEASURE: PS TRANSFORMATION: _Z ADJUSTMENT: N 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 | 243500 |
2005-04-01 | 243500 |
2005-07-01 | 243500 |
2005-10-01 | 243500 |
2006-01-01 | 237300 |
2006-04-01 | 237200 |
2006-07-01 | 237200 |
2006-10-01 | 237200 |
2007-01-01 | 236500 |
2007-04-01 | 236500 |
2007-07-01 | 236500 |
2007-10-01 | 236500 |
2008-01-01 | 235800 |
2008-04-01 | 235800 |
2008-07-01 | 235800 |
2008-10-01 | 235800 |
2009-01-01 | 232600 |
2009-04-01 | 232600 |
2009-07-01 | 232600 |
2009-10-01 | 232600 |
2010-01-01 | 225700 |
2010-04-01 | 225700 |
2010-07-01 | 225700 |
2010-10-01 | 225700 |
2011-01-01 | 212200 |
2011-04-01 | 209800 |
2011-07-01 | 207700 |
2011-10-01 | 204700 |
2012-01-01 | 203300 |
2012-04-01 | 201700 |
2012-07-01 | 200000 |
2012-10-01 | 197700 |
2013-01-01 | 196000 |
2013-04-01 | 194400 |
2013-07-01 | 193000 |
2013-10-01 | 191100 |
2014-01-01 | 189500 |
2014-04-01 | 188000 |
2014-07-01 | 186700 |
2014-10-01 | 184800 |
2015-01-01 | 183200 |
2015-04-01 | 181300 |
2015-07-01 | 179200 |
2015-10-01 | 176400 |
2016-01-01 | 174400 |
2016-04-01 | 171800 |
2016-07-01 | 169100 |
2016-10-01 | 165600 |
2017-01-01 | 163100 |
2017-04-01 | 159400 |
2017-07-01 | 155600 |
2017-10-01 | 152300 |
2018-01-01 | 150100 |
2018-04-01 | 147800 |
2018-07-01 | 147900 |
2018-10-01 | 144500 |
2019-01-01 | 142100 |
2019-04-01 | 141200 |
2019-07-01 | 139900 |
2019-10-01 | 138600 |
2020-01-01 | 138100 |
2020-04-01 | 137100 |
2020-07-01 | 136300 |
2020-10-01 | 135400 |
2021-01-01 | 134800 |
2021-04-01 | 134200 |
2021-07-01 | 132900 |
2021-10-01 | 131900 |
2022-01-01 | 130100 |
2022-04-01 | 132300 |
2022-07-01 | 132400 |
2022-10-01 | 133600 |
2023-01-01 | 134700 |
2023-04-01 | 132100 |
2023-07-01 | 132800 |
2023-10-01 | 133600 |
2024-01-01 | 133600 |
2024-04-01 | 133900 |