Relative At Risk Of Poverty Gap By Poverty Threshold

Eurostat code: ilc_li11$dv_1985

@eurostat.ilc_li11_dv_1985

Table List

2 tables(42.75 KB)

Relative At Risk Of Poverty Gap By Poverty Threshold - Raw

Relative At Risk Of Poverty Gap By Poverty Threshold - Unpivoted

Relative At Risk Of Poverty Gap By Poverty Threshold - Unpivoted

@eurostat.ilc_li11_dv_1985.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.

15.37 KB
5683 rows
8 columns

freq Freq	indic_il Indic Il	sex Sex	age Age	unit Unit	geo Geo	time_period Time Period	value Value
Annual	Relative poverty gap (cut-off point: 60% of median equivalised income)	Females	Total	Percentage	Austria	2015	19.6
Annual	Relative poverty gap (cut-off point: 60% of median equivalised income)	Females	Total	Percentage	Belgium	2015	17.2
Annual	Relative poverty gap (cut-off point: 60% of median equivalised income)	Females	Total	Percentage	Bulgaria	2015	28.5
Annual	Relative poverty gap (cut-off point: 60% of median equivalised income)	Females	Total	Percentage	Switzerland	2015	20.7
Annual	Relative poverty gap (cut-off point: 60% of median equivalised income)	Females	Total	Percentage	Cyprus	2015	18.7
Annual	Relative poverty gap (cut-off point: 60% of median equivalised income)	Females	Total	Percentage	Czechia	2015	16.7
Annual	Relative poverty gap (cut-off point: 60% of median equivalised income)	Females	Total	Percentage	Germany	2015	21.5
Annual	Relative poverty gap (cut-off point: 60% of median equivalised income)	Females	Total	Percentage	Denmark	2015	19.8
Annual	Relative poverty gap (cut-off point: 60% of median equivalised income)	Females	Total	Percentage	Euro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015, EA20-2023)	2015	24.1
Annual	Relative poverty gap (cut-off point: 60% of median equivalised income)	Females	Total	Percentage	Euro area - 18 countries (2014)	2015	24


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

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