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

Eurostat code: earn_ses06_17 · (2006 - 2006)

@eurostat.earn_ses06_17

Table List

2 tables(596.75 KB)

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

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

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

@eurostat.earn_ses06_17.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.

293.74 KB
121206 rows
10 columns

freq Freq	nace_r1 Nace R1	sizeclas Sizeclas	unit Unit	l_serv L Serv	indic_se Indic Se	sex Sex	geo Geo	time_period Time Period	value Value
Annual	Mining and quarrying	10 employees or more	Euro	Total	Gross earnings	Females	Austria	2006	12.67
Annual	Mining and quarrying	10 employees or more	Euro	Total	Gross earnings	Females	Belgium	2006	15.81
Annual	Mining and quarrying	10 employees or more	Euro	Total	Gross earnings	Females	Bulgaria	2006	1.4
Annual	Mining and quarrying	10 employees or more	Euro	Total	Gross earnings	Females	Cyprus	2006	7.97
Annual	Mining and quarrying	10 employees or more	Euro	Total	Gross earnings	Females	Czechia	2006	3.93
Annual	Mining and quarrying	10 employees or more	Euro	Total	Gross earnings	Females	Denmark	2006	33.47
Annual	Mining and quarrying	10 employees or more	Euro	Total	Gross earnings	Females	Euro area - 13 countries (2007)	2006	13.61
Annual	Mining and quarrying	10 employees or more	Euro	Total	Gross earnings	Females	Euro area - 16 countries (2009-2010)	2006	12.8
Annual	Mining and quarrying	10 employees or more	Euro	Total	Gross earnings	Females	Estonia	2006	2.6
Annual	Mining and quarrying	10 employees or more	Euro	Total	Gross earnings	Females	Greece	2006	6.64


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

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