Federal Reserve Economic Data

Table Data - Infra-Annual Labor Statistics: Working-Age Population Female: From 55 to 64 Years for Lithuania

Title Infra-Annual Labor Statistics: Working-Age Population Female: From 55 to 64 Years for Lithuania
Series ID LTULFWA55FESTSAQ
Source Organization for Economic Co-operation and Development
Release Main Economic Indicators (Not a Press Release)
Seasonal Adjustment Seasonally Adjusted
Frequency Quarterly
Units Persons
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: WAP
UNIT_MEASURE: PS
TRANSFORMATION: _Z
ADJUSTMENT: Y
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 198285.00000000000
2005-04-01 201564.50000000000
2005-07-01 199160.30000000002
2005-10-01 199905.80000000000
2006-01-01 198847.19999999998
2006-04-01 197047.50000000000
2006-07-01 199698.50000000000
2006-10-01 199126.60000000000
2007-01-01 198102.30000000002
2007-04-01 199143.40000000002
2007-07-01 198558.40000000000
2007-10-01 198637.80000000000
2008-01-01 193400.00000000000
2008-04-01 193300.00000000000
2008-07-01 193200.00000000000
2008-10-01 193200.00000000000
2009-01-01 192200.00000000000
2009-04-01 192300.00000000000
2009-07-01 192200.00000000000
2009-10-01 192200.00000000000
2010-01-01 195200.00000000000
2010-04-01 195200.00000000000
2010-07-01 195100.00000000000
2010-10-01 195200.00000000000
2011-01-01 196300.00000000000
2011-04-01 196800.00000000000
2011-07-01 198200.00000000000
2011-10-01 199100.00000000000
2012-01-01 199900.00000000000
2012-04-01 200000.00000000000
2012-07-01 201400.00000000000
2012-10-01 202800.00000000000
2013-01-01 204400.00000000000
2013-04-01 205500.00000000000
2013-07-01 207300.00000000000
2013-10-01 208000.00000000000
2014-01-01 209200.00000000000
2014-04-01 209400.00000000000
2014-07-01 210600.00000000000
2014-10-01 211700.00000000000
2015-01-01 212500.00000000000
2015-04-01 213300.00000000000
2015-07-01 214500.00000000000
2015-10-01 215600.00000000000
2016-01-01 216800.00000000000
2016-04-01 217200.00000000000
2016-07-01 218300.00000000000
2016-10-01 220100.00000000000
2017-01-01 220900.00000000000
2017-04-01 221500.00000000000
2017-07-01 222500.00000000000
2017-10-01 223100.00000000000
2018-01-01 223700.00000000000
2018-04-01 224200.00000000000
2018-07-01 224200.00000000000
2018-10-01 226300.00000000000
2019-01-01 226700.00000000000
2019-04-01 227500.00000000000
2019-07-01 228100.00000000000
2019-10-01 228300.00000000000
2020-01-01 228300.00000000000
2020-04-01 228000.00000000000
2020-07-01 228100.00000000000
2020-10-01 228200.00000000000
2021-01-01 228500.00000000000
2021-04-01 227700.00000000000
2021-07-01 227800.00000000000
2021-10-01 227700.00000000000
2022-01-01 233700.00000000000
2022-04-01 235600.00000000000
2022-07-01 235300.00000000000
2022-10-01 235500.00000000000
2023-01-01 235600.00000000000
2023-04-01 232800.00000000000
2023-07-01 232600.00000000000
2023-10-01 231600.00000000000
2024-01-01 230200.00000000000
2024-04-01 229200.00000000000

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