Baselight

Employees By Sex, Economic Activity And Occupation (2022)

Eurostat code: earn_ses22_54 ยท (2022 - 2022)

@eurostat.earn_ses22_54

Employees By Sex, Economic Activity And Occupation (2022) - Unpivoted
@eurostat.earn_ses22_54.tidy

This table contains the same data as the raw table, but in a tidy format: time period values are unpivoted into rows under a single time_period column, making the dataset easier to analyze and visualize.

  • 271.65 KB
  • 45231 rows
  • 9 columns
freq

Freq

sex

Sex

isco08

Isco08

sizeclas

Sizeclas

nace_r2

Nace R2

unit

Unit

geo

Geo

time_period

Time Period

value

Value

AnnualFemalesArmed forces occupations10 employees or moreIndustry (except construction)NumberEuro area - 19 countries (2015-2022)2022159
AnnualFemalesArmed forces occupations10 employees or moreIndustry (except construction)NumberEuro area โ€“ 20 countries (from 2023)2022159
AnnualFemalesArmed forces occupations10 employees or moreIndustry (except construction)NumberEuropean Union - 27 countries (from 2020)2022159
AnnualFemalesArmed forces occupations10 employees or moreIndustry and constructionNumberEuro area - 19 countries (2015-2022)2022159
AnnualFemalesArmed forces occupations10 employees or moreIndustry and constructionNumberEuro area โ€“ 20 countries (from 2023)2022159
AnnualFemalesArmed forces occupations10 employees or moreIndustry and constructionNumberEuropean Union - 27 countries (from 2020)2022159
AnnualFemalesArmed forces occupations10 employees or moreBusiness economyNumberEuro area - 19 countries (2015-2022)20221326
AnnualFemalesArmed forces occupations10 employees or moreBusiness economyNumberEuro area โ€“ 20 countries (from 2023)20221326
AnnualFemalesArmed forces occupations10 employees or moreBusiness economyNumberEuropean Union - 27 countries (from 2020)20221326
AnnualFemalesArmed forces occupations10 employees or moreIndustry, construction and services (except public administration, defense, compulsory social security)NumberEuro area - 19 countries (2015-2022)20222167

CREATE TABLE tidy (
  "freq" VARCHAR,
  "sex" VARCHAR,
  "isco08" VARCHAR,
  "sizeclas" VARCHAR,
  "nace_r2" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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