Federal Reserve Economic Data

Table Data - Infra-Annual Labor Statistics: Unemployment Female: From 15 to 24 Years for Lithuania

Title Infra-Annual Labor Statistics: Unemployment Female: From 15 to 24 Years for Lithuania
Series ID LTULFUN24FESTQ
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 2008-01-01 to 2024-04-01
Last Updated 2024-10-15 2:25 PM CDT
Notes OECD Data Filters:
REF_AREA: LTU
MEASURE: UNE
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
2008-01-01 7300.000000000000
2008-04-01 5300.000000000000
2008-07-01 9700.000000000000
2008-10-01 10800.000000000000
2009-01-01 10600.000000000000
2009-04-01 12700.000000000000
2009-07-01 16800.000000000000
2009-10-01 13700.000000000000
2010-01-01 15200.000000000000
2010-04-01 16100.000000000002
2010-07-01 19300.000000000000
2010-10-01 21900.000000000000
2011-01-01 14100.000000000000
2011-04-01 13100.000000000000
2011-07-01 17100.000000000000
2011-10-01 14700.000000000000
2012-01-01 12300.000000000000
2012-04-01 9200.000000000000
2012-07-01 12900.000000000000
2012-10-01 13100.000000000000
2013-01-01 11300.000000000000
2013-04-01 10600.000000000000
2013-07-01 12500.000000000000
2013-10-01 8200.000000000000
2014-01-01 12400.000000000000
2014-04-01 10500.000000000000
2014-07-01 8500.000000000000
2014-10-01 10100.000000000000
2015-01-01 8300.000000000000
2015-04-01 9400.000000000000
2015-07-01 10400.000000000000
2015-10-01 8800.000000000000
2016-01-01 7400.000000000000
2016-04-01 7600.000000000000
2016-07-01 6500.000000000000
2016-10-01 5900.000000000000
2017-01-01 6700.000000000000
2017-04-01 6300.000000000000
2017-07-01 5300.000000000000
2017-10-01 5400.000000000000
2018-01-01 6100.000000000000
2018-04-01 4900.000000000000
2018-07-01 4100.000000000000
2018-10-01 5200.000000000000
2019-01-01 5300.000000000000
2019-04-01 3300.000000000000
2019-07-01 4600.000000000000
2019-10-01 5300.000000000000
2020-01-01 6300.000000000000
2020-04-01 7400.000000000000
2020-07-01 10400.000000000000
2020-10-01 8300.000000000000
2021-01-01 6000.000000000000
2021-04-01 9100.000000000000
2021-07-01 6600.000000000000
2021-10-01 5300.000000000000
2022-01-01 4600.000000000000
2022-04-01 .
2022-07-01 5500.000000000000
2022-10-01 5400.000000000000
2023-01-01 6300.000000000000
2023-04-01 .
2023-07-01 .
2023-10-01 6600.000000000000
2024-01-01 6900.000000000000
2024-04-01 6100.000000000000

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