Baselight

Self-reported Unmet Needs For Specific Health Care-related Services Due To Financial Reasons By Sex, Age And Educational Attainment Level

Eurostat code: hlth_ehis_un2e ยท (2014 - 2019)

@eurostat.hlth_ehis_un2e

Self-reported Unmet Needs For Specific Health Care-related Services Due To Financial Reasons By Sex, Age And Educational Attainment Level - Raw
@eurostat.hlth_ehis_un2e.raw

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

  • 76.23 KB
  • 27480 rows
  • 9 columns
freq

Freq

unit

Unit

hlthcare

Hlthcare

isced11

Isced11

sex

Sex

age

Age

geo

Geo

n_2014

2014

n_2019

2019

AnnualPercentageDental careLess than primary, primary and lower secondary education (levels 0-2)FemalesTotalAustria8.39.1
AnnualPercentageDental careLess than primary, primary and lower secondary education (levels 0-2)FemalesTotalBulgaria21.923.1
AnnualPercentageDental careLess than primary, primary and lower secondary education (levels 0-2)FemalesTotalCyprus7.64.1
AnnualPercentageDental careLess than primary, primary and lower secondary education (levels 0-2)FemalesTotalCzechia33.2
AnnualPercentageDental careLess than primary, primary and lower secondary education (levels 0-2)FemalesTotalGermany1012.2
AnnualPercentageDental careLess than primary, primary and lower secondary education (levels 0-2)FemalesTotalDenmark17.619.2
AnnualPercentageDental careLess than primary, primary and lower secondary education (levels 0-2)FemalesTotalEstonia36.628.1
AnnualPercentageDental careLess than primary, primary and lower secondary education (levels 0-2)FemalesTotalGreece25.920.1
AnnualPercentageDental careLess than primary, primary and lower secondary education (levels 0-2)FemalesTotalSpain22.214.3
AnnualPercentageDental careLess than primary, primary and lower secondary education (levels 0-2)FemalesTotalEuropean Union - 27 countries (from 2020)18.414.8

CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "hlthcare" VARCHAR,
  "isced11" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "geo" VARCHAR,
  "n_2014" DOUBLE,
  "n_2019" DOUBLE
);

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