Mean Hourly Earnings By Sex, Age, Occupation - NACE Rev. 1.1, C-O Excluding L

Eurostat code: earn_ses06_14 · (2006 - 2006)

@eurostat.earn_ses06_14

Table List

2 tables(278.2 KB)

Mean Hourly Earnings By Sex, Age, Occupation - NACE Rev. 1.1, C-O Excluding L - Raw

Mean Hourly Earnings By Sex, Age, Occupation - NACE Rev. 1.1, C-O Excluding L - Unpivoted

Mean Hourly Earnings By Sex, Age, Occupation - NACE Rev. 1.1, C-O Excluding L - Unpivoted

@eurostat.earn_ses06_14.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.

137.45 KB
54440 rows
10 columns

freq Freq	sizeclas Sizeclas	age Age	unit Unit	isco88 Isco88	indic_se Indic Se	sex Sex	geo Geo	time_period Time Period	value Value
Annual	10 employees or more	Total	Euro	Armed forces	Gross earnings	Females	Denmark	2006	30.48
Annual	10 employees or more	Total	Euro	Armed forces	Gross earnings	Females	Euro area - 13 countries (2007)	2006	10.9
Annual	10 employees or more	Total	Euro	Armed forces	Gross earnings	Females	Euro area - 16 countries (2009-2010)	2006	10.9
Annual	10 employees or more	Total	Euro	Armed forces	Gross earnings	Females	European Union - 15 countries (1995-2004)	2006	11.05
Annual	10 employees or more	Total	Euro	Armed forces	Gross earnings	Females	European Union - 25 countries (2004-2006)	2006	7.69
Annual	10 employees or more	Total	Euro	Armed forces	Gross earnings	Females	European Union - 27 countries (2007-2013)	2006	7.69
Annual	10 employees or more	Total	Euro	Armed forces	Gross earnings	Females	Hungary	2006	5.57
Annual	10 employees or more	Total	Euro	Armed forces	Gross earnings	Females	Lithuania	2006	4.47
Annual	10 employees or more	Total	Euro	Armed forces	Gross earnings	Females	Netherlands	2006	10.94
Annual	10 employees or more	Total	Euro	Armed forces	Gross earnings	Females	Norway	2006	23.32


CREATE TABLE tidy (
  "freq" VARCHAR,
  "sizeclas" VARCHAR,
  "age" VARCHAR,
  "unit" VARCHAR,
  "isco88" VARCHAR,
  "indic_se" VARCHAR,
  "sex" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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