Baselight

Self-reported Unmet Needs For Medical Examination By Level Of Disability (activity Limitation), Sex And Age

Eurostat code: hlth_dh030$dv_2112

@eurostat.hlth_dh030_dv_2112

Self-reported Unmet Needs For Medical Examination By Level Of Disability (activity Limitation), Sex And Age - Raw
@eurostat.hlth_dh030_dv_2112.raw

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

  • 61.95 KB
  • 3240 rows
  • 17 columns
freq

Freq

unit

Unit

reason

Reason

lev_limit

Lev Limit

age

Age

sex

Sex

geo

Geo

n_2015

2015

n_2016

2016

n_2017

2017

n_2018

2018

n_2019

2019

n_2020

2020

n_2021

2021

n_2022

2022

n_2023

2023

n_2024

2024

AnnualPercentageNo unmet needs to declareNoneFrom 16 to 29 yearsFemalesAlbania91.994.291.395.689.3
AnnualPercentageNo unmet needs to declareNoneFrom 16 to 29 yearsFemalesAustria99.499.699.810099.599.899.999.599.3
AnnualPercentageNo unmet needs to declareNoneFrom 16 to 29 yearsFemalesBelgium98.298.498.398.899.19998.799.399.498.6
AnnualPercentageNo unmet needs to declareNoneFrom 16 to 29 yearsFemalesBulgaria96.598.498.299.598.89998.199.298.898.7
AnnualPercentageNo unmet needs to declareNoneFrom 16 to 29 yearsFemalesSwitzerland98.698.697.496.896.798.698.696.897.3
AnnualPercentageNo unmet needs to declareNoneFrom 16 to 29 yearsFemalesCyprus98.899.797.498.499.399.999.910099.8100
AnnualPercentageNo unmet needs to declareNoneFrom 16 to 29 yearsFemalesCzechia97.296.198.798.798.398.799.299.198.998.7
AnnualPercentageNo unmet needs to declareNoneFrom 16 to 29 yearsFemalesGermany99.399.499.499.599.799.799.698.6
AnnualPercentageNo unmet needs to declareNoneFrom 16 to 29 yearsFemalesDenmark96.596.494.891.491.996.191.687.585.989.2
AnnualPercentageNo unmet needs to declareNoneFrom 16 to 29 yearsFemalesEuro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015, EA20-2023)97.597.498.398.598.998.698.1

CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "reason" VARCHAR,
  "lev_limit" VARCHAR,
  "age" VARCHAR,
  "sex" VARCHAR,
  "geo" VARCHAR,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE,
  "n_2022" DOUBLE,
  "n_2023" DOUBLE,
  "n_2024" DOUBLE
);

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