Baselight

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

Eurostat code: ilc_ats14 ยท (2016 - 2016)

@eurostat.ilc_ats14

Persons Using Professional Homecare Services By Household Type, Income Group, Degree Of Urbanisation And Frequency - Unpivoted
@eurostat.ilc_ats14.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.

  • 21.74 KB
  • 6123 rows
  • 9 columns
freq

Freq

frequenc

Frequenc

deg_urb

Deg Urb

incgrp

Incgrp

hhtyp

Hhtyp

unit

Unit

geo

Geo

time_period

Time Period

value

Value

AnnualFrom 10 to 19 hours per weekCitiesAbove 60% of median equivalised incomeSingle personPercentageAustria201617.9
AnnualFrom 10 to 19 hours per weekCitiesAbove 60% of median equivalised incomeSingle personPercentageBelgium201614.1
AnnualFrom 10 to 19 hours per weekCitiesAbove 60% of median equivalised incomeSingle personPercentageSwitzerland20163.2
AnnualFrom 10 to 19 hours per weekCitiesAbove 60% of median equivalised incomeSingle personPercentageCzechia201632.7
AnnualFrom 10 to 19 hours per weekCitiesAbove 60% of median equivalised incomeSingle personPercentageDenmark20164.8
AnnualFrom 10 to 19 hours per weekCitiesAbove 60% of median equivalised incomeSingle personPercentageGreece201631.3
AnnualFrom 10 to 19 hours per weekCitiesAbove 60% of median equivalised incomeSingle personPercentageSpain201624.9
AnnualFrom 10 to 19 hours per weekCitiesAbove 60% of median equivalised incomeSingle personPercentageFinland20168.9
AnnualFrom 10 to 19 hours per weekCitiesAbove 60% of median equivalised incomeSingle personPercentageFrance201613.8
AnnualFrom 10 to 19 hours per weekCitiesAbove 60% of median equivalised incomeSingle personPercentageItaly201620

CREATE TABLE tidy (
  "freq" VARCHAR,
  "frequenc" VARCHAR,
  "deg_urb" VARCHAR,
  "incgrp" VARCHAR,
  "hhtyp" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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