Baselight

Inactive Population Not Seeking Employment By Sex, Age And Willingness To Work (1–000)

Eurostat code: lfsa_igaww · (1983 - 2024)

@eurostat.lfsa_igaww

Inactive Population Not Seeking Employment By Sex, Age And Willingness To Work (1–000) - Raw
@eurostat.lfsa_igaww.raw

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

  • 1 MB
  • 8807 rows
  • 48 columns
freq

Freq

unit

Unit

sex

Sex

age

Age

wantwork

Wantwork

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

AnnualThousand personsFemalesFrom 15 to 19 yearsDo not want to workAustria119120.3115.6119.4134.5133.3133.4142.9125.2108.1115.2111.9104.9104.6113.7113.6104.9107.3108.3110109.2109.1108.6112.6110.9115.1112.9109111.1
AnnualThousand personsFemalesFrom 15 to 19 yearsDo not want to workBosnia and Herzegovina78.781.281.881.9
AnnualThousand personsFemalesFrom 15 to 19 yearsDo not want to workBelgium250.2255243249.2259.8266.6240.3271.5271.9267265.4262.3269.3264.6274.9277.9280.7283.5278.6268.2275.1264.7266.6272.9273.4258.5238.9239241.7242.7240.5250.7249.1
AnnualThousand personsFemalesFrom 15 to 19 yearsDo not want to workBulgaria217.6204.5229.5229.2237.3234.6235.4234.4228217.8178.2166.7149.9144.5139139.2141.1138.1140126.4125.7127.4132137.4146.2
AnnualThousand personsFemalesFrom 15 to 19 yearsDo not want to workSwitzerland78.975.865.965.474.247.843.44051.455.548.953.947.541.550.650.253.948.34945.240.541.144.445.450.454.749.847.850.8
AnnualThousand personsFemalesFrom 15 to 19 yearsDo not want to workCyprus21.219.520.320.220.921.721.821.221.424.824.124.124.523.522.621.12020.220.117.317.216.216.316.216.5
AnnualThousand personsFemalesFrom 15 to 19 yearsDo not want to workCzechia259.1272.5277.4271.7273.2279.3279.9274.6266.5248.6234.7223.6212.2205.9203.6206.2210211.1221227.9229.4258.4265.2
AnnualThousand personsFemalesFrom 15 to 19 yearsDo not want to workGermany634733.56641162.31463.81526.21554.21532.91537.31480.21495.91506.315711533.41501.91433.41398.91386.41321.512711311.41302.81326.41323.61328.91311.11332.51321.11113.31156.51134.21145.11098.7
AnnualThousand personsFemalesFrom 15 to 19 yearsDo not want to workDenmark3232.836.515.315.715.12529.435.745.641.349.742.442.140.441.242.747.853.147.856.1616063.438.645.357.250.551.957.96261.441.2
AnnualThousand personsFemalesFrom 15 to 19 yearsDo not want to workEuro area – 20 countries (from 2023)64516588.163566420.96346.562616228.26277.163756259.56210.96199.46298.56361.96392.66376.76399.564166279.76054.36039.86043.86099.8

CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "wantwork" 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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