Mean Monthly Earnings By Economic Activity, Sex, Length Of Service With The Enterprise

Eurostat code: earn_ses06_24 · (2006 - 2006)

@eurostat.earn_ses06_24

Table List

2 tables(789.83 KB)

Mean Monthly Earnings By Economic Activity, Sex, Length Of Service With The Enterprise - Raw

Mean Monthly Earnings By Economic Activity, Sex, Length Of Service With The Enterprise - Unpivoted

Mean Monthly Earnings By Economic Activity, Sex, Length Of Service With The Enterprise - Unpivoted

@eurostat.earn_ses06_24.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.

386.02 KB
186976 rows
10 columns

freq Freq	sizeclas Sizeclas	unit Unit	l_serv L Serv	indic_se Indic Se	nace_r1 Nace R1	sex Sex	geo Geo	time_period Time Period	value Value
Annual	10 employees or more	Euro	Total	Gross earnings	Mining and quarrying	Females	Austria	2006	2178
Annual	10 employees or more	Euro	Total	Gross earnings	Mining and quarrying	Females	Belgium	2006	2701
Annual	10 employees or more	Euro	Total	Gross earnings	Mining and quarrying	Females	Bulgaria	2006	245
Annual	10 employees or more	Euro	Total	Gross earnings	Mining and quarrying	Females	Cyprus	2006	1324
Annual	10 employees or more	Euro	Total	Gross earnings	Mining and quarrying	Females	Czechia	2006	650
Annual	10 employees or more	Euro	Total	Gross earnings	Mining and quarrying	Females	Denmark	2006	5403
Annual	10 employees or more	Euro	Total	Gross earnings	Mining and quarrying	Females	Euro area - 13 countries (2007)	2006	2327
Annual	10 employees or more	Euro	Total	Gross earnings	Mining and quarrying	Females	Euro area - 16 countries (2009-2010)	2006	2187
Annual	10 employees or more	Euro	Total	Gross earnings	Mining and quarrying	Females	Estonia	2006	450
Annual	10 employees or more	Euro	Total	Gross earnings	Mining and quarrying	Females	Greece	2006	1171


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

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