Mean Consumption Expenditure By Income Quintile

Eurostat code: hbs_exp_t133 · (1988 - 2020)

@eurostat.hbs_exp_t133

Table List

2 tables(41.6 KB)

Mean Consumption Expenditure By Income Quintile - Raw

Mean Consumption Expenditure By Income Quintile - Unpivoted

Mean Consumption Expenditure By Income Quintile - Raw

@eurostat.hbs_exp_t133.raw

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

22.3 KB
568 rows
11 columns

freq Freq	quantile Quantile	unit Unit	geo Geo	n_1988 1988	n_1994 1994	n_1999 1999	n_2005 2005	n_2010 2010	n_2015 2015	n_2020 2020
Annual	First quintile	Purchasing power standard (PPS) per adult equivalent	Austria		11984	11258	15329	15564	17096	16950
Annual	First quintile	Purchasing power standard (PPS) per adult equivalent	Belgium	6419	10470	11130	12456	14097	16192	16490
Annual	First quintile	Purchasing power standard (PPS) per adult equivalent	Bulgaria				2315	3448	4751	5289
Annual	First quintile	Purchasing power standard (PPS) per adult equivalent	Cyprus				8265	13371	12334	11848
Annual	First quintile	Purchasing power standard (PPS) per adult equivalent	Czechia				4691	6039	7074
Annual	First quintile	Purchasing power standard (PPS) per adult equivalent	Germany	6049	7920	8929	10816	11332	12404	13305
Annual	First quintile	Purchasing power standard (PPS) per adult equivalent	Denmark		9367	10693	11031	14041	14537	14974
Annual	First quintile	Purchasing power standard (PPS) per adult equivalent	Euro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015, EA20-2023)		7438	9142	10107	11781
Annual	First quintile	Purchasing power standard (PPS) per adult equivalent	Euro area - 12 countries (2001-2006)				10112	11982
Annual	First quintile	Purchasing power standard (PPS) per adult equivalent	Euro area - 13 countries (2007)				10107	11977


CREATE TABLE raw (
  "freq" VARCHAR,
  "quantile" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_1988" DOUBLE,
  "n_1994" DOUBLE,
  "n_1999" DOUBLE,
  "n_2005" DOUBLE,
  "n_2010" DOUBLE,
  "n_2015" DOUBLE,
  "n_2020" DOUBLE
);

Share link

Anyone who has the link will be able to view this.