Table Data - Infra-Annual Labor Statistics: Labor Force Female: From 55 to 64 Years for Lithuania
Title | Infra-Annual Labor Statistics: Labor Force Female: From 55 to 64 Years for Lithuania |
---|---|
Series ID | LTULFAC55FESTQ |
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 2024-07-01 |
Last Updated | 2025-01-15 2:18 PM CST |
Notes | OECD Data Filters: REF_AREA: LTU MEASURE: LF UNIT_MEASURE: PS TRANSFORMATION: _Z ADJUSTMENT: N SEX: F AGE: Y55T64 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 | 82500 |
2005-04-01 | 91500 |
2005-07-01 | 93200 |
2005-10-01 | 88600 |
2006-01-01 | 95500 |
2006-04-01 | 96500 |
2006-07-01 | 91300 |
2006-10-01 | 92300 |
2007-01-01 | 97600 |
2007-04-01 | 97300 |
2007-07-01 | 98100 |
2007-10-01 | 91500 |
2008-01-01 | 92500 |
2008-04-01 | 96400 |
2008-07-01 | 99700 |
2008-10-01 | 95400 |
2009-01-01 | 99000 |
2009-04-01 | 102000 |
2009-07-01 | 101000 |
2009-10-01 | 101000 |
2010-01-01 | 101000 |
2010-04-01 | 101000 |
2010-07-01 | 100000 |
2010-10-01 | 103000 |
2011-01-01 | 104000 |
2011-04-01 | 106000 |
2011-07-01 | 105000 |
2011-10-01 | 105000 |
2012-01-01 | 107000 |
2012-04-01 | 108000 |
2012-07-01 | 111000 |
2012-10-01 | 110000 |
2013-01-01 | 114000 |
2013-04-01 | 114000 |
2013-07-01 | 115000 |
2013-10-01 | 119000 |
2014-01-01 | 122000 |
2014-04-01 | 121000 |
2014-07-01 | 126000 |
2014-10-01 | 127000 |
2015-01-01 | 131000 |
2015-04-01 | 135000 |
2015-07-01 | 135000 |
2015-10-01 | 141000 |
2016-01-01 | 145000 |
2016-04-01 | 144000 |
2016-07-01 | 145000 |
2016-10-01 | 151000 |
2017-01-01 | 154000 |
2017-04-01 | 155000 |
2017-07-01 | 153000 |
2017-10-01 | 158000 |
2018-01-01 | 160000 |
2018-04-01 | 159000 |
2018-07-01 | 162000 |
2018-10-01 | 165000 |
2019-01-01 | 163000 |
2019-04-01 | 165000 |
2019-07-01 | 165000 |
2019-10-01 | 167000 |
2020-01-01 | 165000 |
2020-04-01 | 167000 |
2020-07-01 | 172000 |
2020-10-01 | 169000 |
2021-01-01 | 165000 |
2021-04-01 | 172200 |
2021-07-01 | 168700 |
2021-10-01 | 169300 |
2022-01-01 | 171200 |
2022-04-01 | 179800 |
2022-07-01 | 182500 |
2022-10-01 | 172400 |
2023-01-01 | 174000 |
2023-04-01 | 177600 |
2023-07-01 | 177700 |
2023-10-01 | 172900 |
2024-01-01 | 174400 |
2024-04-01 | 177000 |
2024-07-01 | 171300 |