Persons Using Professional Homecare Services By Household Type, Income Group, Degree Of Urbanisation And Frequency

Eurostat code: ilc_ats14 · (2016 - 2016)

@eurostat.ilc_ats14

Table List

2 tables(43.13 KB)

Persons Using Professional Homecare Services By Household Type, Income Group, Degree Of Urbanisation And Frequency - Raw

Persons Using Professional Homecare Services By Household Type, Income Group, Degree Of Urbanisation And Frequency - Unpivoted

Persons Using Professional Homecare Services By Household Type, Income Group, Degree Of Urbanisation And Frequency - Raw

@eurostat.ilc_ats14.raw

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

21.39 KB
22032 rows
8 columns

freq Freq	frequenc Frequenc	deg_urb Deg Urb	incgrp Incgrp	hhtyp Hhtyp	unit Unit	geo Geo	n_2016 2016
Annual	From 10 to 19 hours per week	Cities	Above 60% of median equivalised income	Single person	Percentage	Austria	17.9
Annual	From 10 to 19 hours per week	Cities	Above 60% of median equivalised income	Single person	Percentage	Belgium	14.1
Annual	From 10 to 19 hours per week	Cities	Above 60% of median equivalised income	Single person	Percentage	Bulgaria
Annual	From 10 to 19 hours per week	Cities	Above 60% of median equivalised income	Single person	Percentage	Switzerland	3.2
Annual	From 10 to 19 hours per week	Cities	Above 60% of median equivalised income	Single person	Percentage	Cyprus
Annual	From 10 to 19 hours per week	Cities	Above 60% of median equivalised income	Single person	Percentage	Czechia	32.7
Annual	From 10 to 19 hours per week	Cities	Above 60% of median equivalised income	Single person	Percentage	Germany
Annual	From 10 to 19 hours per week	Cities	Above 60% of median equivalised income	Single person	Percentage	Denmark	4.8
Annual	From 10 to 19 hours per week	Cities	Above 60% of median equivalised income	Single person	Percentage	Estonia
Annual	From 10 to 19 hours per week	Cities	Above 60% of median equivalised income	Single person	Percentage	Greece	31.3


CREATE TABLE raw (
  "freq" VARCHAR,
  "frequenc" VARCHAR,
  "deg_urb" VARCHAR,
  "incgrp" VARCHAR,
  "hhtyp" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2016" DOUBLE
);

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