Baselight

Mean Monthly Earnings By Economic Activity, Sex, Age

Eurostat code: earn_ses_agt20 ยท (2002 - 2002)

@eurostat.earn_ses_agt20

Mean Monthly Earnings By Economic Activity, Sex, Age - Unpivoted
@eurostat.earn_ses_agt20.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.

  • 315.13 KB
  • 82352 rows
  • 9 columns
freq

Freq

nace_r1

Nace R1

unit

Unit

age

Age

indic_se

Indic Se

sex

Sex

geo

Geo

time_period

Time Period

value

Value

AnnualMining and quarryingEuroTotalGross earningsFemalesAustria20021968.27
AnnualMining and quarryingEuroTotalGross earningsFemalesBelgium20022487
AnnualMining and quarryingEuroTotalGross earningsFemalesBulgaria2002194.75
AnnualMining and quarryingEuroTotalGross earningsFemalesCyprus2002714.51
AnnualMining and quarryingEuroTotalGross earningsFemalesCzechia2002421.7
AnnualMining and quarryingEuroTotalGross earningsFemalesGermany20022602.21
AnnualMining and quarryingEuroTotalGross earningsFemalesDenmark20023795.45
AnnualMining and quarryingEuroTotalGross earningsFemalesEuro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015, EA20-2023)20022066.97
AnnualMining and quarryingEuroTotalGross earningsFemalesEuro area - 12 countries (2001-2006)20022063
AnnualMining and quarryingEuroTotalGross earningsFemalesEstonia2002295.73

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

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