Mean Monthly Earnings By Economic Activity, Sex, Employment Contract

Eurostat code: earn_ses06_22 · (2006 - 2006)

@eurostat.earn_ses06_22

Table List

2 tables(361.35 KB)

Mean Monthly Earnings By Economic Activity, Sex, Employment Contract - Raw

Mean Monthly Earnings By Economic Activity, Sex, Employment Contract - Unpivoted

Mean Monthly Earnings By Economic Activity, Sex, Employment Contract - Raw

@eurostat.earn_ses06_22.raw

This table contains the original data as downloaded from the Eurostat API, with labels mapped where available.

184.93 KB
91254 rows
9 columns

freq Freq	nace_r1 Nace R1	sizeclas Sizeclas	unit Unit	emp_cont Emp Cont	indic_se Indic Se	sex Sex	geo Geo	n_2006 2006
Annual	Mining and quarrying	10 employees or more	Euro	Apprentice or trainee	Gross earnings	Females	Austria	557
Annual	Mining and quarrying	10 employees or more	Euro	Apprentice or trainee	Gross earnings	Females	Germany	649
Annual	Mining and quarrying	10 employees or more	Euro	Apprentice or trainee	Gross earnings	Females	Denmark
Annual	Mining and quarrying	10 employees or more	Euro	Apprentice or trainee	Gross earnings	Females	Euro area - 13 countries (2007)	881
Annual	Mining and quarrying	10 employees or more	Euro	Apprentice or trainee	Gross earnings	Females	Euro area - 16 countries (2009-2010)	881
Annual	Mining and quarrying	10 employees or more	Euro	Apprentice or trainee	Gross earnings	Females	European Union - 15 countries (1995-2004)	902
Annual	Mining and quarrying	10 employees or more	Euro	Apprentice or trainee	Gross earnings	Females	European Union - 25 countries (2004-2006)	900
Annual	Mining and quarrying	10 employees or more	Euro	Apprentice or trainee	Gross earnings	Females	European Union - 27 countries (2007-2013)	900
Annual	Mining and quarrying	10 employees or more	Euro	Apprentice or trainee	Gross earnings	Females	Finland
Annual	Mining and quarrying	10 employees or more	Euro	Apprentice or trainee	Gross earnings	Females	France


CREATE TABLE raw (
  "freq" VARCHAR,
  "nace_r1" VARCHAR,
  "sizeclas" VARCHAR,
  "unit" VARCHAR,
  "emp_cont" VARCHAR,
  "indic_se" VARCHAR,
  "sex" VARCHAR,
  "geo" VARCHAR,
  "n_2006" DOUBLE
);

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