Employment By Type Of Disability, Sex, Age And Economic Activity

Eurostat code: hlth_dlm120 · (2011 - 2011)

@eurostat.hlth_dlm120

Table List

2 tables(454.34 KB)

Employment By Type Of Disability, Sex, Age And Economic Activity - Raw

Employment By Type Of Disability, Sex, Age And Economic Activity - Unpivoted

Employment By Type Of Disability, Sex, Age And Economic Activity - Unpivoted

@eurostat.hlth_dlm120.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.

229.3 KB
35709 rows
9 columns

freq Freq	unit Unit	hlth_pb Hlth Pb	nace_r2 Nace R2	age Age	sex Sex	geo Geo	time_period Time Period	value Value
Annual	Thousand	Difficulty in basic activities	Agriculture, forestry and fishing	Total	Females	Austria	2011	21.887
Annual	Thousand	Difficulty in basic activities	Agriculture, forestry and fishing	Total	Females	Switzerland	2011	8.119
Annual	Thousand	Difficulty in basic activities	Agriculture, forestry and fishing	Total	Females	Cyprus	2011	0.871
Annual	Thousand	Difficulty in basic activities	Agriculture, forestry and fishing	Total	Females	Czechia	2011	3.901
Annual	Thousand	Difficulty in basic activities	Agriculture, forestry and fishing	Total	Females	Greece	2011	20.536
Annual	Thousand	Difficulty in basic activities	Agriculture, forestry and fishing	Total	Females	Spain	2011	22.46
Annual	Thousand	Difficulty in basic activities	Agriculture, forestry and fishing	Total	Females	European Union - 28 countries (2013-2020)	2011	542.702
Annual	Thousand	Difficulty in basic activities	Agriculture, forestry and fishing	Total	Females	Finland	2011	9.041
Annual	Thousand	Difficulty in basic activities	Agriculture, forestry and fishing	Total	Females	Croatia	2011	21.554
Annual	Thousand	Difficulty in basic activities	Agriculture, forestry and fishing	Total	Females	Hungary	2011	4.886


CREATE TABLE tidy (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "hlth_pb" VARCHAR,
  "nace_r2" VARCHAR,
  "age" VARCHAR,
  "sex" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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