Persons Not Reading Books In The Last 12 Months By Sex, Age, Risk Of Poverty Or Social Exclusion Situation And Reasons

Eurostat code: ilc_scp32 · (2022 - 2022)

@eurostat.ilc_scp32

Table List

2 tables(83.85 KB)

Persons Not Reading Books In The Last 12 Months By Sex, Age, Risk Of Poverty Or Social Exclusion Situation And Reasons - Raw

Persons Not Reading Books In The Last 12 Months By Sex, Age, Risk Of Poverty Or Social Exclusion Situation And Reasons - Unpivoted

Persons Not Reading Books In The Last 12 Months By Sex, Age, Risk Of Poverty Or Social Exclusion Situation And Reasons - Raw

@eurostat.ilc_scp32.raw

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

42.82 KB
26010 rows
8 columns

freq Freq	reason Reason	yn_arope Yn Arope	sex Sex	age Age	unit Unit	geo Geo	n_2022 2022
Annual	Difficulty	Not at risk of poverty or social exclusion	Females	From 16 to 24 years	Percentage	Austria
Annual	Difficulty	Not at risk of poverty or social exclusion	Females	From 16 to 24 years	Percentage	Belgium
Annual	Difficulty	Not at risk of poverty or social exclusion	Females	From 16 to 24 years	Percentage	Bulgaria	5.4
Annual	Difficulty	Not at risk of poverty or social exclusion	Females	From 16 to 24 years	Percentage	Switzerland
Annual	Difficulty	Not at risk of poverty or social exclusion	Females	From 16 to 24 years	Percentage	Cyprus	0.2
Annual	Difficulty	Not at risk of poverty or social exclusion	Females	From 16 to 24 years	Percentage	Czechia
Annual	Difficulty	Not at risk of poverty or social exclusion	Females	From 16 to 24 years	Percentage	Germany
Annual	Difficulty	Not at risk of poverty or social exclusion	Females	From 16 to 24 years	Percentage	Denmark
Annual	Difficulty	Not at risk of poverty or social exclusion	Females	From 16 to 24 years	Percentage	Euro area – 20 countries (from 2023)	0.2
Annual	Difficulty	Not at risk of poverty or social exclusion	Females	From 16 to 24 years	Percentage	Estonia


CREATE TABLE raw (
  "freq" VARCHAR,
  "reason" VARCHAR,
  "yn_arope" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2022" DOUBLE
);

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