Inability To Afford A Meal With Meat, Chicken, Fish (or Vegetarian Equivalent) Every Second Day By Level Of Disability (activity Limitation), Sex And Age

Eurostat code: hlth_dm030 · (2010 - 2024)

@eurostat.hlth_dm030

Table List

2 tables(262.36 KB)

Inability To Afford A Meal With Meat, Chicken, Fish (or Vegetarian Equivalent) Every Second Day By Level Of Disability (activity Limitation), Sex And Age - Raw

Inability To Afford A Meal With Meat, Chicken, Fish (or Vegetarian Equivalent) Every Second Day By Level Of Disability (activity Limitation), Sex And Age - Unpivoted

Inability To Afford A Meal With Meat, Chicken, Fish (or Vegetarian Equivalent) Every Second Day By Level Of Disability (activity Limitation), Sex And Age - Unpivoted

@eurostat.hlth_dm030.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.

111.89 KB
75434 rows
8 columns

freq Freq	unit Unit	lev_limit Lev Limit	age Age	sex Sex	geo Geo	time_period Time Period	value Value
Annual	Percentage	None	From 16 to 24 years	Females	Austria	2010	7.5
Annual	Percentage	None	From 16 to 24 years	Females	Belgium	2010	5
Annual	Percentage	None	From 16 to 24 years	Females	Bulgaria	2010	44
Annual	Percentage	None	From 16 to 24 years	Females	Switzerland	2010	1.4
Annual	Percentage	None	From 16 to 24 years	Females	Cyprus	2010	3.5
Annual	Percentage	None	From 16 to 24 years	Females	Czechia	2010	12.8
Annual	Percentage	None	From 16 to 24 years	Females	Germany	2010	9.8
Annual	Percentage	None	From 16 to 24 years	Females	Denmark	2010	3.1
Annual	Percentage	None	From 16 to 24 years	Females	Euro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015, EA20-2023)	2010	7.3
Annual	Percentage	None	From 16 to 24 years	Females	Euro area - 18 countries (2014)	2010	7.5


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

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