Employment By Type Of Disability, Sex, Age And Number Of Usual Weekly Hours Of Work In Main Job

Eurostat code: hlth_dlm110 · (2011 - 2011)

@eurostat.hlth_dlm110

Table List

2 tables(225.27 KB)

Employment By Type Of Disability, Sex, Age And Number Of Usual Weekly Hours Of Work In Main Job - Raw

Employment By Type Of Disability, Sex, Age And Number Of Usual Weekly Hours Of Work In Main Job - Unpivoted

Employment By Type Of Disability, Sex, Age And Number Of Usual Weekly Hours Of Work In Main Job - Unpivoted

@eurostat.hlth_dlm110.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.

113.92 KB
15597 rows
9 columns

freq Freq	unit Unit	hlth_pb Hlth Pb	worktime Worktime	age Age	sex Sex	geo Geo	time_period Time Period	value Value
Annual	Thousand	Difficulty in basic activities	From 1 to 9 hours	Total	Females	Austria	2011	14.333
Annual	Thousand	Difficulty in basic activities	From 1 to 9 hours	Total	Females	Belgium	2011	3.709
Annual	Thousand	Difficulty in basic activities	From 1 to 9 hours	Total	Females	Switzerland	2011	42.633
Annual	Thousand	Difficulty in basic activities	From 1 to 9 hours	Total	Females	Czechia	2011	1.701
Annual	Thousand	Difficulty in basic activities	From 1 to 9 hours	Total	Females	Germany	2011	134.833
Annual	Thousand	Difficulty in basic activities	From 1 to 9 hours	Total	Females	Denmark	2011	8.368
Annual	Thousand	Difficulty in basic activities	From 1 to 9 hours	Total	Females	Spain	2011	21.658
Annual	Thousand	Difficulty in basic activities	From 1 to 9 hours	Total	Females	European Union - 28 countries (2013-2020)	2011	470.528
Annual	Thousand	Difficulty in basic activities	From 1 to 9 hours	Total	Females	Finland	2011	5.983
Annual	Thousand	Difficulty in basic activities	From 1 to 9 hours	Total	Females	France	2011	79.495


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

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