Baselight

Young People Neither In Employment Nor In Education And Training By Sex, Age And Labour Status (NEET Rates)

Eurostat code: edat_lfse_20$dv_1807

@eurostat.edat_lfse_20_dv_1807

Young People Neither In Employment Nor In Education And Training By Sex, Age And Labour Status (NEET Rates) - Raw
@eurostat.edat_lfse_20_dv_1807.raw

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

  • 40.6 KB
  • 228 rows
  • 32 columns
freq

Freq

sex

Sex

age

Age

training

Training

wstatus

Wstatus

unit

Unit

geo

Geo

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

AnnualFemalesFrom 15 to 29 yearsNeither formal nor non-formal education or trainingNot employed personsPercentageAustria12.411.29.49.512.211.911.311.51111.210.69.89.59.710.39.29.49.19.99.89.610.39.6109.4
AnnualFemalesFrom 15 to 29 yearsNeither formal nor non-formal education or trainingNot employed personsPercentageBosnia and Herzegovina28.827.425.9
AnnualFemalesFrom 15 to 29 yearsNeither formal nor non-formal education or trainingNot employed personsPercentageBelgium20.419.718.92018.115.715.1151414.414.115.315.415.714.2151413.213.112.512.49.79.19.59.2
AnnualFemalesFrom 15 to 29 yearsNeither formal nor non-formal education or trainingNot employed personsPercentageBulgaria34.232.432.53130.327.923.321.92425.826.626.427.826.824.725.823.221.820.121.420.616.915.214.8
AnnualFemalesFrom 15 to 29 yearsNeither formal nor non-formal education or trainingNot employed personsPercentageSwitzerland10.58.59.310.49.39.39.58.78.19.89.68.78.78.687.77.87.16.565.97.99.4
AnnualFemalesFrom 15 to 29 yearsNeither formal nor non-formal education or trainingNot employed personsPercentageCyprus17.315.212.714.714.722.314.21313.214.214.815.417.420.118.519.219.519.315.516.716.115.416.714.814.1
AnnualFemalesFrom 15 to 29 yearsNeither formal nor non-formal education or trainingNot employed personsPercentageCzechia24.325.224.92420.318.216.817.617.716.917.717.717.417.216.815.515.315.917.617.317.115.513.3
AnnualFemalesFrom 15 to 29 yearsNeither formal nor non-formal education or trainingNot employed personsPercentageGermany13.61313.514.614.816.215.114.213.813.312.911.711.510.810.810.510.910.59.89.510.510.910.510.39.7
AnnualFemalesFrom 15 to 29 yearsNeither formal nor non-formal education or trainingNot employed personsPercentageDenmark7.47.98.28.47.47.35.75.76.57.37.78.998.78.78.98.710.59.79.610.48.98.38.98.6
AnnualFemalesFrom 15 to 29 yearsNeither formal nor non-formal education or trainingNot employed personsPercentageEuro area – 20 countries (from 2023)17.717.417.417.416.415.815.716.516.916.917.317.31716.616.115.414.71415.113.812.512.111.6

CREATE TABLE raw (
  "freq" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "training" VARCHAR,
  "wstatus" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "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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