Baselight

Employees By Sex, Age And Economic Activity (from 2008 Onwards, NACE Rev. 2) - 1–000

Eurostat code: lfsa_eegan2 · (2008 - 2024)

@eurostat.lfsa_eegan2

Employees By Sex, Age And Economic Activity (from 2008 Onwards, NACE Rev. 2) - 1–000 - Raw
@eurostat.lfsa_eegan2.raw

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

  • 2.13 MB
  • 61005 rows
  • 23 columns
freq

Freq

unit

Unit

sex

Sex

age

Age

nace_r2

Nace R2

geo

Geo

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 yearsAgriculture, forestry and fishingAustria
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, forestry and fishingBosnia and Herzegovina
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, forestry and fishingBelgium
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, forestry and fishingBulgaria
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, forestry and fishingSwitzerland2.22.71.61.62.32.21.51.62
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, forestry and fishingCyprus
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, forestry and fishingCzechia
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, forestry and fishingGermany5.85.3
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, forestry and fishingDenmark
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, forestry and fishingEuro area – 20 countries (from 2023)23.319.91716.816.914.713.615.814.715.81518.924.520.621.219.4

CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "nace_r2" VARCHAR,
  "geo" VARCHAR,
  "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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