Baselight

Mean Hourly Earnings By Economic Activity, Sex, Employment Contract

Eurostat code: earn_ses06_15 ยท (2006 - 2006)

@eurostat.earn_ses06_15

Mean Hourly Earnings By Economic Activity, Sex, Employment Contract - Unpivoted
@eurostat.earn_ses06_15.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.

  • 137.68 KB
  • 51784 rows
  • 10 columns
freq

Freq

nace_r1

Nace R1

sizeclas

Sizeclas

unit

Unit

emp_cont

Emp Cont

indic_se

Indic Se

sex

Sex

geo

Geo

time_period

Time Period

value

Value

AnnualMining and quarrying10 employees or moreEuroApprentice or traineeGross earningsFemalesAustria20063.27
AnnualMining and quarrying10 employees or moreEuroApprentice or traineeGross earningsFemalesGermany20063.91
AnnualMining and quarrying10 employees or moreEuroApprentice or traineeGross earningsFemalesEuro area - 13 countries (2007)20065.33
AnnualMining and quarrying10 employees or moreEuroApprentice or traineeGross earningsFemalesEuro area - 16 countries (2009-2010)20065.33
AnnualMining and quarrying10 employees or moreEuroApprentice or traineeGross earningsFemalesEuropean Union - 15 countries (1995-2004)20065.43
AnnualMining and quarrying10 employees or moreEuroApprentice or traineeGross earningsFemalesEuropean Union - 25 countries (2004-2006)20065.42
AnnualMining and quarrying10 employees or moreEuroApprentice or traineeGross earningsFemalesEuropean Union - 27 countries (2007-2013)20065.42
AnnualMining and quarrying10 employees or moreEuroApprentice or traineeGross earningsFemalesNorway200622.24
AnnualMining and quarrying10 employees or moreEuroApprentice or traineeGross earningsMalesAustria20064.35
AnnualMining and quarrying10 employees or moreEuroApprentice or traineeGross earningsMalesGermany20063.89

CREATE TABLE tidy (
  "freq" VARCHAR,
  "nace_r1" VARCHAR,
  "sizeclas" VARCHAR,
  "unit" VARCHAR,
  "emp_cont" VARCHAR,
  "indic_se" VARCHAR,
  "sex" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

Share link

Anyone who has the link will be able to view this.