Baselight

Persistent At-risk-of Poverty Rate By Sex - EU-SILC Survey

Eurostat code: tessi020 ยท (2013 - 2024)

@eurostat.tessi020

Persistent At-risk-of Poverty Rate By Sex - EU-SILC Survey - Unpivoted
@eurostat.tessi020.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.

  • 9.13 KB
  • 1254 rows
  • 8 columns
freq

Freq

indic_il

Indic Il

unit

Unit

age

Age

sex

Sex

geo

Geo

time_period

Time Period

value

Value

AnnualAt persistent risk of poverty rate by age and gender (cut-off point: 60% of median equivalised income)PercentageTotalFemalesAustria201310
AnnualAt persistent risk of poverty rate by age and gender (cut-off point: 60% of median equivalised income)PercentageTotalFemalesBelgium20138.4
AnnualAt persistent risk of poverty rate by age and gender (cut-off point: 60% of median equivalised income)PercentageTotalFemalesBulgaria201315
AnnualAt persistent risk of poverty rate by age and gender (cut-off point: 60% of median equivalised income)PercentageTotalFemalesSwitzerland20138.6
AnnualAt persistent risk of poverty rate by age and gender (cut-off point: 60% of median equivalised income)PercentageTotalFemalesCyprus201311.2
AnnualAt persistent risk of poverty rate by age and gender (cut-off point: 60% of median equivalised income)PercentageTotalFemalesCzechia20134.9
AnnualAt persistent risk of poverty rate by age and gender (cut-off point: 60% of median equivalised income)PercentageTotalFemalesGermany201311.1
AnnualAt persistent risk of poverty rate by age and gender (cut-off point: 60% of median equivalised income)PercentageTotalFemalesDenmark20136.2
AnnualAt persistent risk of poverty rate by age and gender (cut-off point: 60% of median equivalised income)PercentageTotalFemalesEuro area - 19 countries (2015-2022)201310.9
AnnualAt persistent risk of poverty rate by age and gender (cut-off point: 60% of median equivalised income)PercentageTotalFemalesEstonia20139.9

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

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