Persons With Disabilities By Sex, Need For Assistance And Household Type

Eurostat code: hlth_dpeh160 · (2012 - 2012)

@eurostat.hlth_dpeh160

Table List

2 tables(29.96 KB)

Persons With Disabilities By Sex, Need For Assistance And Household Type - Raw

Persons With Disabilities By Sex, Need For Assistance And Household Type - Unpivoted

Persons With Disabilities By Sex, Need For Assistance And Household Type - Unpivoted

@eurostat.hlth_dpeh160.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.

15.36 KB
1687 rows
8 columns

freq Freq	unit Unit	hhcomp Hhcomp	assist Assist	sex Sex	geo Geo	time_period Time Period	value Value
Annual	Thousand	Couple without resident children under 25 years	Assistance needed	Females	Austria	2012	29
Annual	Thousand	Couple without resident children under 25 years	Assistance needed	Females	Belgium	2012	109.8
Annual	Thousand	Couple without resident children under 25 years	Assistance needed	Females	Bulgaria	2012	50.8
Annual	Thousand	Couple without resident children under 25 years	Assistance needed	Females	Cyprus	2012	8.2
Annual	Thousand	Couple without resident children under 25 years	Assistance needed	Females	Czechia	2012	101.7
Annual	Thousand	Couple without resident children under 25 years	Assistance needed	Females	Germany	2012	637.3
Annual	Thousand	Couple without resident children under 25 years	Assistance needed	Females	Denmark	2012	36.1
Annual	Thousand	Couple without resident children under 25 years	Assistance needed	Females	Estonia	2012	11.4
Annual	Thousand	Couple without resident children under 25 years	Assistance needed	Females	European Economic Area (EEA18-1995, EEA28-2004, EEA30-2007, EEA31-2013, EEA30-2020)	2012	4226.9
Annual	Thousand	Couple without resident children under 25 years	Assistance needed	Females	Greece	2012	111.1


CREATE TABLE tidy (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "hhcomp" VARCHAR,
  "assist" VARCHAR,
  "sex" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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