Need For Help With Personal Care Or Household Activities By Level Of Difficulty Experienced In Those Activities, Age And Income Quintile

Eurostat code: hlth_ehis_tadlhi · (2014 - 2019)

@eurostat.hlth_ehis_tadlhi

Table List

2 tables(55.27 KB)

Need For Help With Personal Care Or Household Activities By Level Of Difficulty Experienced In Those Activities, Age And Income Quintile - Raw

Need For Help With Personal Care Or Household Activities By Level Of Difficulty Experienced In Those Activities, Age And Income Quintile - Unpivoted

Need For Help With Personal Care Or Household Activities By Level Of Difficulty Experienced In Those Activities, Age And Income Quintile - Raw

@eurostat.hlth_ehis_tadlhi.raw

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

29.33 KB
8856 rows
9 columns

freq Freq	unit Unit	lev_diff Lev Diff	assist Assist	age Age	quant_inc Quant Inc	geo Geo	n_2019 2019
Annual	Percentage	Limited	Get enough assistance	From 55 to 64 years	First quintile	Austria	37.3
Annual	Percentage	Limited	Get enough assistance	From 55 to 64 years	First quintile	Belgium
Annual	Percentage	Limited	Get enough assistance	From 55 to 64 years	First quintile	Bulgaria	8.1
Annual	Percentage	Limited	Get enough assistance	From 55 to 64 years	First quintile	Cyprus	33.2
Annual	Percentage	Limited	Get enough assistance	From 55 to 64 years	First quintile	Czechia	14.7
Annual	Percentage	Limited	Get enough assistance	From 55 to 64 years	First quintile	Germany	24.9
Annual	Percentage	Limited	Get enough assistance	From 55 to 64 years	First quintile	Denmark	21.1
Annual	Percentage	Limited	Get enough assistance	From 55 to 64 years	First quintile	Estonia	43.2
Annual	Percentage	Limited	Get enough assistance	From 55 to 64 years	First quintile	Greece	53.4
Annual	Percentage	Limited	Get enough assistance	From 55 to 64 years	First quintile	Spain	36.4


CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "lev_diff" VARCHAR,
  "assist" VARCHAR,
  "age" VARCHAR,
  "quant_inc" VARCHAR,
  "geo" VARCHAR,
  "n_2014" DOUBLE,
  "n_2019" DOUBLE
);

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