Baselight

Population By Sex, Age, Disability Status And Having A Longstanding Health Problem

Eurostat code: hlth_dpeh050 ยท (2012 - 2012)

@eurostat.hlth_dpeh050

Population By Sex, Age, Disability Status And Having A Longstanding Health Problem - Unpivoted
@eurostat.hlth_dpeh050.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.

  • 25.69 KB
  • 3240 rows
  • 9 columns
freq

Freq

unit

Unit

hlth_pb

Hlth Pb

yes_no

Yes No

age

Age

sex

Sex

geo

Geo

time_period

Time Period

value

Value

AnnualThousandLong-standing health condition, illness or diseaseNot disabledFrom 15 to 44 yearsFemalesAustria2012850.4
AnnualThousandLong-standing health condition, illness or diseaseNot disabledFrom 15 to 44 yearsFemalesBelgium20121143
AnnualThousandLong-standing health condition, illness or diseaseNot disabledFrom 15 to 44 yearsFemalesBulgaria2012327.4
AnnualThousandLong-standing health condition, illness or diseaseNot disabledFrom 15 to 44 yearsFemalesCyprus201252.3
AnnualThousandLong-standing health condition, illness or diseaseNot disabledFrom 15 to 44 yearsFemalesCzechia2012471.7
AnnualThousandLong-standing health condition, illness or diseaseNot disabledFrom 15 to 44 yearsFemalesGermany20127397.2
AnnualThousandLong-standing health condition, illness or diseaseNot disabledFrom 15 to 44 yearsFemalesDenmark2012537.5
AnnualThousandLong-standing health condition, illness or diseaseNot disabledFrom 15 to 44 yearsFemalesEstonia2012148.1
AnnualThousandLong-standing health condition, illness or diseaseNot disabledFrom 15 to 44 yearsFemalesEuropean Economic Area (EEA18-1995, EEA28-2004, EEA30-2007, EEA31-2013, EEA30-2020)201238271.7
AnnualThousandLong-standing health condition, illness or diseaseNot disabledFrom 15 to 44 yearsFemalesGreece2012418.8

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

Share link

Anyone who has the link will be able to view this.