Baselight

Labour Market Transitions - Quarterly Data

Eurostat code: lfsi_long_q ยท (2003-Q2 - 2024-Q4)

@eurostat.lfsi_long_q

Labour Market Transitions - Quarterly Data - Raw
@eurostat.lfsi_long_q.raw

This table contains the original data as downloaded from the Eurostat API, with labels mapped where available.

  • 656.13 KB
  • 7560 rows
  • 93 columns
freq

Freq

unit

Unit

s_adj

S Adj

indic_em

Indic Em

sex

Sex

geo

Geo

n_2003_q2

2003-Q2

n_2003_q3

2003-Q3

n_2003_q4

2003-Q4

n_2004_q1

2004-Q1

n_2004_q2

2004-Q2

n_2004_q3

2004-Q3

n_2004_q4

2004-Q4

n_2005_q1

2005-Q1

n_2005_q2

2005-Q2

n_2005_q3

2005-Q3

n_2005_q4

2005-Q4

n_2006_q1

2006-Q1

n_2006_q2

2006-Q2

n_2006_q3

2006-Q3

n_2006_q4

2006-Q4

n_2007_q1

2007-Q1

n_2007_q2

2007-Q2

n_2007_q3

2007-Q3

n_2007_q4

2007-Q4

n_2008_q1

2008-Q1

n_2008_q2

2008-Q2

n_2008_q3

2008-Q3

n_2008_q4

2008-Q4

n_2009_q1

2009-Q1

n_2009_q2

2009-Q2

n_2009_q3

2009-Q3

n_2009_q4

2009-Q4

n_2010_q1

2010-Q1

n_2010_q2

2010-Q2

n_2010_q3

2010-Q3

n_2010_q4

2010-Q4

n_2011_q1

2011-Q1

n_2011_q2

2011-Q2

n_2011_q3

2011-Q3

n_2011_q4

2011-Q4

n_2012_q1

2012-Q1

n_2012_q2

2012-Q2

n_2012_q3

2012-Q3

n_2012_q4

2012-Q4

n_2013_q1

2013-Q1

n_2013_q2

2013-Q2

n_2013_q3

2013-Q3

n_2013_q4

2013-Q4

n_2014_q1

2014-Q1

n_2014_q2

2014-Q2

n_2014_q3

2014-Q3

n_2014_q4

2014-Q4

n_2015_q1

2015-Q1

n_2015_q2

2015-Q2

n_2015_q3

2015-Q3

n_2015_q4

2015-Q4

n_2016_q1

2016-Q1

n_2016_q2

2016-Q2

n_2016_q3

2016-Q3

n_2016_q4

2016-Q4

n_2017_q1

2017-Q1

n_2017_q2

2017-Q2

n_2017_q3

2017-Q3

n_2017_q4

2017-Q4

n_2018_q1

2018-Q1

n_2018_q2

2018-Q2

n_2018_q3

2018-Q3

n_2018_q4

2018-Q4

n_2019_q1

2019-Q1

n_2019_q2

2019-Q2

n_2019_q3

2019-Q3

n_2019_q4

2019-Q4

n_2020_q1

2020-Q1

n_2020_q2

2020-Q2

n_2020_q3

2020-Q3

n_2020_q4

2020-Q4

n_2021_q1

2021-Q1

n_2021_q2

2021-Q2

n_2021_q3

2021-Q3

n_2021_q4

2021-Q4

n_2022_q1

2022-Q1

n_2022_q2

2022-Q2

n_2022_q3

2022-Q3

n_2022_q4

2022-Q4

n_2023_q1

2023-Q1

n_2023_q2

2023-Q2

n_2023_q3

2023-Q3

n_2023_q4

2023-Q4

n_2024_q1

2024-Q1

n_2024_q2

2024-Q2

n_2024_q3

2024-Q3

n_2024_q4

2024-Q4

QuarterlyPercentage of total employmentUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)Transition employment - employmentFemalesAustria9595.293.595.195.295.493.995.695.795.194.295.195.995.293.995.495.995.393.995.29696.494.695.996.295.994.595.996.19695.195.395.394.794.394.894.895.193.994.193.195.894.294.395.393.695.495.795.194.494.895.694.893.795.495.895.394.2
QuarterlyPercentage of total employmentUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)Transition employment - employmentFemalesBelgium97.294.195.195.59595.894.694.29693.894.294.494.795.293.793.296.795.494.395.996.196.495.695.295.496.195.294.896.895.495.3
QuarterlyPercentage of total employmentUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)Transition employment - employmentFemalesBulgaria98.298.296.494.19898.897.194.998.398.895.49698.597.995.29798.498.496.797.198.698.896.195.798.798.396.198.599.598.796.197.69998.796.595.599.798.495.897.196.198.996.49999.597.499.19999.598.497.798.399.39798.999.299.497.6
QuarterlyPercentage of total employmentUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)Transition employment - employmentFemalesSwitzerland94.494.494.495.295.292.894.394.895.394.493.595.295.493.994.194.895.993.99694.694.894.394.895.295.394.195.395.295.294.695.195.695.794.89595.795.895.195.695.494.695.796.395.796.196.195.496.695.496.596.396.695.295.895.99694.795.9
QuarterlyPercentage of total employmentUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)Transition employment - employmentFemalesCyprus96.99797.19797.595.69795.597.195.296.694.494.595.395.595.297.294.696.493.796.694.296.393.49795.794.895.997.597.194.496.697.396.29597.997.795.897.996.497.295.596.498.197.796.99798.697.997.897.598.398.3979798.398.796.9
QuarterlyPercentage of total employmentUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)Transition employment - employmentFemalesCzechia97.697.297.396.197.596.996.996.697.997.497.29798.297.297.596.597.597.797.997.398.497.797.69898.397.898.197.39898.197.697.898.49898.197.89898.197.697.797.19897.797.19897.796.398.298.497.897.898.797.798.198.997.998.298
QuarterlyPercentage of total employmentUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)Transition employment - employmentFemalesGermany95.395.495.194.996.395.695.795.396.595.89695.596.19696.1
QuarterlyPercentage of total employmentUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)Transition employment - employmentFemalesDenmark95.392.993.194.594.792.692.894.195.594.192.994.194.493.99394.394.394.394.194.294.29494.59595.593.494.59594.794.293.694.395.593.794.193.595.494.194.593.794.593.994.695.993.894.494.795.494.393.294.695.494.694.594.795.794.594.6
QuarterlyPercentage of total employmentUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)Transition employment - employmentFemalesEstonia96.792.896.596.497.796.394.597.198.296.793.498.198.395.796.294.797.296.49696.397.897.494.494.798.193.99596.896.795.395.993.495.394.593.89594.893.895.7959195.995.395.694.694.996.695.295.795.297.895.694.795.196.497.693.794.5
QuarterlyPercentage of total employmentUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)Transition employment - employmentFemalesGreece98.697.796.19797.696.495.696.797.796.396.696.397.897.596.798.398.197.897.197.299.298.196.99798.898.195.397.899.197.595.697.89997.995.797.999.29895.697.798.297.296.297.996.393.997.198.496.995.29698.796.995.296999795.8

CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "s_adj" VARCHAR,
  "indic_em" VARCHAR,
  "sex" VARCHAR,
  "geo" VARCHAR,
  "n_2003_q2" DOUBLE,
  "n_2003_q3" DOUBLE,
  "n_2003_q4" DOUBLE,
  "n_2004_q1" DOUBLE,
  "n_2004_q2" DOUBLE,
  "n_2004_q3" DOUBLE,
  "n_2004_q4" DOUBLE,
  "n_2005_q1" DOUBLE,
  "n_2005_q2" DOUBLE,
  "n_2005_q3" DOUBLE,
  "n_2005_q4" DOUBLE,
  "n_2006_q1" DOUBLE,
  "n_2006_q2" DOUBLE,
  "n_2006_q3" DOUBLE,
  "n_2006_q4" DOUBLE,
  "n_2007_q1" DOUBLE,
  "n_2007_q2" DOUBLE,
  "n_2007_q3" DOUBLE,
  "n_2007_q4" DOUBLE,
  "n_2008_q1" DOUBLE,
  "n_2008_q2" DOUBLE,
  "n_2008_q3" DOUBLE,
  "n_2008_q4" DOUBLE,
  "n_2009_q1" DOUBLE,
  "n_2009_q2" DOUBLE,
  "n_2009_q3" DOUBLE,
  "n_2009_q4" DOUBLE,
  "n_2010_q1" DOUBLE,
  "n_2010_q2" DOUBLE,
  "n_2010_q3" DOUBLE,
  "n_2010_q4" DOUBLE,
  "n_2011_q1" DOUBLE,
  "n_2011_q2" DOUBLE,
  "n_2011_q3" DOUBLE,
  "n_2011_q4" DOUBLE,
  "n_2012_q1" DOUBLE,
  "n_2012_q2" DOUBLE,
  "n_2012_q3" DOUBLE,
  "n_2012_q4" DOUBLE,
  "n_2013_q1" DOUBLE,
  "n_2013_q2" DOUBLE,
  "n_2013_q3" DOUBLE,
  "n_2013_q4" DOUBLE,
  "n_2014_q1" DOUBLE,
  "n_2014_q2" DOUBLE,
  "n_2014_q3" DOUBLE,
  "n_2014_q4" DOUBLE,
  "n_2015_q1" DOUBLE,
  "n_2015_q2" DOUBLE,
  "n_2015_q3" DOUBLE,
  "n_2015_q4" DOUBLE,
  "n_2016_q1" DOUBLE,
  "n_2016_q2" DOUBLE,
  "n_2016_q3" DOUBLE,
  "n_2016_q4" DOUBLE,
  "n_2017_q1" DOUBLE,
  "n_2017_q2" DOUBLE,
  "n_2017_q3" DOUBLE,
  "n_2017_q4" DOUBLE,
  "n_2018_q1" DOUBLE,
  "n_2018_q2" DOUBLE,
  "n_2018_q3" DOUBLE,
  "n_2018_q4" DOUBLE,
  "n_2019_q1" DOUBLE,
  "n_2019_q2" DOUBLE,
  "n_2019_q3" DOUBLE,
  "n_2019_q4" DOUBLE,
  "n_2020_q1" DOUBLE,
  "n_2020_q2" DOUBLE,
  "n_2020_q3" DOUBLE,
  "n_2020_q4" DOUBLE,
  "n_2021_q1" DOUBLE,
  "n_2021_q2" DOUBLE,
  "n_2021_q3" DOUBLE,
  "n_2021_q4" DOUBLE,
  "n_2022_q1" DOUBLE,
  "n_2022_q2" DOUBLE,
  "n_2022_q3" DOUBLE,
  "n_2022_q4" DOUBLE,
  "n_2023_q1" DOUBLE,
  "n_2023_q2" DOUBLE,
  "n_2023_q3" DOUBLE,
  "n_2023_q4" DOUBLE,
  "n_2024_q1" DOUBLE,
  "n_2024_q2" DOUBLE,
  "n_2024_q3" DOUBLE,
  "n_2024_q4" DOUBLE
);

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