Baselight

Temporary Employees By Sex, Age And Main Reason

Eurostat code: lfsa_etgar · (1983 - 2024)

@eurostat.lfsa_etgar

Temporary Employees By Sex, Age And Main Reason - Raw
@eurostat.lfsa_etgar.raw

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

  • 1.12 MB
  • 46134 rows
  • 48 columns
freq

Freq

unit

Unit

sex

Sex

age

Age

reason

Reason

geo

Geo

n_1983

1983

n_1984

1984

n_1985

1985

n_1986

1986

n_1987

1987

n_1988

1988

n_1989

1989

n_1990

1990

n_1991

1991

n_1992

1992

n_1993

1993

n_1994

1994

n_1995

1995

n_1996

1996

n_1997

1997

n_1998

1998

n_1999

1999

n_2000

2000

n_2001

2001

n_2002

2002

n_2003

2003

n_2004

2004

n_2005

2005

n_2006

2006

n_2007

2007

n_2008

2008

n_2009

2009

n_2010

2010

n_2011

2011

n_2012

2012

n_2013

2013

n_2014

2014

n_2015

2015

n_2016

2016

n_2017

2017

n_2018

2018

n_2019

2019

n_2020

2020

n_2021

2021

n_2022

2022

n_2023

2023

n_2024

2024

AnnualPercentage of employeesFemalesFrom 15 to 19 yearsEducation or trainingAustria32.85152.852.355.357.956.15860.957.866.460.755.758.460.758.36459.259.157.860.961.758.858.557.960.558.756.650.351.4
AnnualPercentage of employeesFemalesFrom 15 to 19 yearsEducation or trainingBosnia and Herzegovina
AnnualPercentage of employeesFemalesFrom 15 to 19 yearsEducation or trainingBelgium18.9261721.515.521.423.118.722.418.522.3293124.124.618.420.616.913.412.813.91317.69.5
AnnualPercentage of employeesFemalesFrom 15 to 19 yearsEducation or trainingBulgaria
AnnualPercentage of employeesFemalesFrom 15 to 19 yearsEducation or trainingSwitzerland6264.355.654.463.863.364.861.159.968.665.766.36264.97570.971.573.968.871.769.172.772.871.671.276.578.971.674.9
AnnualPercentage of employeesFemalesFrom 15 to 19 yearsEducation or trainingCyprus
AnnualPercentage of employeesFemalesFrom 15 to 19 yearsEducation or trainingCzechia5.33.62.18.18.97.596.25.79.9
AnnualPercentage of employeesFemalesFrom 15 to 19 yearsEducation or trainingGermany56.148.255.958.156.954.350.554.262.761.163.176.476.174.773.971.270.471.872.272.472.368.567.562.864.858.76257.555.457.455.958.659.55756.145.244.644.946.345.6
AnnualPercentage of employeesFemalesFrom 15 to 19 yearsEducation or trainingDenmark13.91815.317.715.614.312.813.614.29.510.711.18.97.74.48.27.86.28.16.53.74.46.65.63.84.43.93.83.64.57.165.97.96.46.44.85.47.7
AnnualPercentage of employeesFemalesFrom 15 to 19 yearsEducation or trainingEuro area – 20 countries (from 2023)38.138.637.637.938.43734.436.634.435.834.834.635.633.634.133.43230.927.427.626.826.627.5

CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "reason" VARCHAR,
  "geo" VARCHAR,
  "n_1983" DOUBLE,
  "n_1984" DOUBLE,
  "n_1985" DOUBLE,
  "n_1986" DOUBLE,
  "n_1987" DOUBLE,
  "n_1988" DOUBLE,
  "n_1989" DOUBLE,
  "n_1990" DOUBLE,
  "n_1991" DOUBLE,
  "n_1992" DOUBLE,
  "n_1993" DOUBLE,
  "n_1994" DOUBLE,
  "n_1995" DOUBLE,
  "n_1996" DOUBLE,
  "n_1997" DOUBLE,
  "n_1998" DOUBLE,
  "n_1999" DOUBLE,
  "n_2000" DOUBLE,
  "n_2001" DOUBLE,
  "n_2002" DOUBLE,
  "n_2003" DOUBLE,
  "n_2004" DOUBLE,
  "n_2005" DOUBLE,
  "n_2006" DOUBLE,
  "n_2007" DOUBLE,
  "n_2008" DOUBLE,
  "n_2009" DOUBLE,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE,
  "n_2022" DOUBLE,
  "n_2023" DOUBLE,
  "n_2024" DOUBLE
);

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