Baselight

Mean Hourly Earnings By Sex, Age, Occupation

Eurostat code: earn_ses_agt14 ยท (2002 - 2002)

@eurostat.earn_ses_agt14

Mean Hourly Earnings By Sex, Age, Occupation - Unpivoted
@eurostat.earn_ses_agt14.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.

  • 124.14 KB
  • 36286 rows
  • 9 columns
freq

Freq

age

Age

unit

Unit

isco88

Isco88

indic_se

Indic Se

sex

Sex

geo

Geo

time_period

Time Period

value

Value

AnnualTotalEuroArmed forcesGross earningsFemalesCzechia20022.57
AnnualTotalEuroArmed forcesGross earningsFemalesEuro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015, EA20-2023)200215.29
AnnualTotalEuroArmed forcesGross earningsFemalesEuropean Union - 15 countries (1995-2004)200215.29
AnnualTotalEuroArmed forcesGross earningsFemalesEuropean Union - 25 countries (2004-2006)20029.66
AnnualTotalEuroArmed forcesGross earningsFemalesLithuania20022.76
AnnualTotalEuroArmed forcesGross earningsFemalesNetherlands200215.29
AnnualTotalEuroArmed forcesGross earningsFemalesNew Member States - 10 countries (2004-2006)20023.2
AnnualTotalEuroArmed forcesGross earningsFemalesNorway200221.04
AnnualTotalEuroArmed forcesGross earningsFemalesSlovenia20026.53
AnnualTotalEuroArmed forcesGross earningsMalesCzechia20023.32

CREATE TABLE tidy (
  "freq" VARCHAR,
  "age" VARCHAR,
  "unit" VARCHAR,
  "isco88" 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.