Federal Reserve Economic Data

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

Title Infra-Annual Labor Statistics: Employment Female: From 55 to 64 Years for Lithuania
Series ID LTULFEM55FESTQ
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 1:55 PM CDT
Notes OECD Data Filters:
REF_AREA: LTU
MEASURE: EMP
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 74500.00000000000
2005-04-01 87400.00000000000
2005-07-01 87300.00000000000
2005-10-01 83500.00000000000
2006-01-01 90800.00000000000
2006-04-01 90100.00000000000
2006-07-01 87500.00000000000
2006-10-01 88000.00000000000
2007-01-01 93900.00000000000
2007-04-01 94600.00000000000
2007-07-01 94800.00000000000
2007-10-01 88300.00000000000
2008-01-01 87400.00000000000
2008-04-01 93400.00000000000
2008-07-01 96100.00000000000
2008-10-01 89400.00000000000
2009-01-01 90900.00000000000
2009-04-01 92200.00000000000
2009-07-01 92500.00000000000
2009-10-01 92100.00000000000
2010-01-01 89800.00000000000
2010-04-01 86900.00000000000
2010-07-01 86500.00000000000
2010-10-01 91800.00000000000
2011-01-01 93500.00000000000
2011-04-01 93200.00000000000
2011-07-01 92800.00000000000
2011-10-01 93800.00000000000
2012-01-01 96600.00000000000
2012-04-01 96000.00000000000
2012-07-01 98900.00000000000
2012-10-01 98800.00000000000
2013-01-01 103600.00000000000
2013-04-01 103900.00000000000
2013-07-01 106800.00000000000
2013-10-01 108500.00000000000
2014-01-01 110800.00000000000
2014-04-01 111300.00000000000
2014-07-01 117700.00000000000
2014-10-01 116500.00000000000
2015-01-01 121100.00000000000
2015-04-01 125300.00000000000
2015-07-01 127600.00000000000
2015-10-01 129300.00000000001
2016-01-01 134700.00000000000
2016-04-01 135600.00000000000
2016-07-01 135100.00000000000
2016-10-01 142700.00000000000
2017-01-01 144700.00000000000
2017-04-01 145500.00000000000
2017-07-01 141700.00000000000
2017-10-01 147000.00000000000
2018-01-01 149900.00000000000
2018-04-01 147100.00000000000
2018-07-01 151700.00000000000
2018-10-01 152700.00000000000
2019-01-01 150800.00000000000
2019-04-01 155400.00000000000
2019-07-01 154500.00000000000
2019-10-01 154300.00000000000
2020-01-01 150500.00000000000
2020-04-01 152600.00000000000
2020-07-01 155100.00000000000
2020-10-01 152600.00000000000
2021-01-01 149500.00000000000
2021-04-01 158100.00000000000
2021-07-01 159000.00000000000
2021-10-01 156500.00000000000
2022-01-01 156800.00000000000
2022-04-01 169200.00000000000
2022-07-01 171900.00000000000
2022-10-01 161200.00000000000
2023-01-01 156900.00000000000
2023-04-01 165300.00000000000
2023-07-01 168400.00000000000
2023-10-01 161100.00000000000
2024-01-01 157700.00000000000
2024-04-01 165300.00000000000

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