Baselight

Structure Of Earnings Survey: Monthly Earnings

Eurostat code: earn_ses_monthly ยท (2002 - 2022)

@eurostat.earn_ses_monthly

Structure Of Earnings Survey: Monthly Earnings - Unpivoted
@eurostat.earn_ses_monthly.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.

  • 23.32 MB
  • 11403746 rows
  • 10 columns
freq

Freq

nace_r2

Nace R2

isco08

Isco08

worktime

Worktime

age

Age

sex

Sex

indic_se

Indic Se

geo

Geo

time_period

Time Period

value

Value

AnnualIndustry and constructionManagersFull-timeTotalFemalesFirst decile earnings in euroAustria20022105
AnnualIndustry and constructionManagersFull-timeTotalFemalesFirst decile earnings in euroBelgium20022179
AnnualIndustry and constructionManagersFull-timeTotalFemalesFirst decile earnings in euroBulgaria2002100
AnnualIndustry and constructionManagersFull-timeTotalFemalesFirst decile earnings in euroCyprus20022086
AnnualIndustry and constructionManagersFull-timeTotalFemalesFirst decile earnings in euroCzechia2002333
AnnualIndustry and constructionManagersFull-timeTotalFemalesFirst decile earnings in euroGermany20022013
AnnualIndustry and constructionManagersFull-timeTotalFemalesFirst decile earnings in euroDenmark20022620
AnnualIndustry and constructionManagersFull-timeTotalFemalesFirst decile earnings in euroEuro area - 18 countries (2014)2002984
AnnualIndustry and constructionManagersFull-timeTotalFemalesFirst decile earnings in euroEstonia2002259
AnnualIndustry and constructionManagersFull-timeTotalFemalesFirst decile earnings in euroGreece20021113

CREATE TABLE tidy (
  "freq" VARCHAR,
  "nace_r2" VARCHAR,
  "isco08" VARCHAR,
  "worktime" VARCHAR,
  "age" VARCHAR,
  "sex" VARCHAR,
  "indic_se" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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