[A.IT.ABITAZ_AFFOLL_MED.10.99.99.99.9.1.9.9.9.99.99] annual – Italy – household crowding index (number of components of household per square meter) – per hundred values – total – total – total – total – 1 elderly – total – total (9) – total – total (99) – total

Name: annual – Italy – household crowding index (number of components of household per square meter) – per hundred values – total – total – total – total – 1 elderly – total – total (9) – total – total (99) – total
Creator: DBnomics

Updated on DBnomics on November 7, 2023 (7:56 AM)

min:: 1.8

max:: 2.2

avg:: 1.947

σ:: 0.099

Apply filters

Trim NA Values

Period	Value
2004	2.2
2005	2.1
2006	2.1
2007	2
2008	2
2009	2
2010	1.9
2011	2
2012	1.9
2013	1.9
2014	1.9
2015	1.9
2016	1.9
2017	1.9
2018	1.9
2019	1.8
2020	1.9
2021	1.9
2022	1.8

Dimension	Dimension value
[FREQ] Frequency	[A] annual
[REF_AREA] Territory	[IT] Italy
[DATA_TYPE] Indicator	[ABITAZ_AFFOLL_MED] household crowding index (number of components of household per square meter)
[MEASURE] Measure	[10] per hundred values
[TENURE_STATUS] Tenure status	[99] total
[NUMBER_HOUSEHOLD_COMP] Household number of components	[99] total
[HOUSEHOLD_TYPOLOGY] Household typology	[99] total
[NUMB_OF_CHILDREN] Number of children	[9] total
[NUMB_OF_ELDERLY] Number of elderly	[1] 1 elderly
[FIFTH_EQUIV_HOUSE_INC] Fifth of equivalent household income	[9] total
[SEX_MAIN_PERCEPTOR] Sex of main income earner	[9] total
[AGE_MAIN_EARNIER] Age of main income earner	[9] total
[EDU_LEV_MAIN_EARN] Educational level of main income earner	[99] total
[LABPROF_STATUS_C_MAIN_EARNER] Professional status of main income earner	[99] total

[A.IT.ABITAZ_​AFFOLL_​MED.10.99.99.99.9.1.9.9.9.99.99] annual – Italy – household crowding index (number of components of household per square meter) – per hundred values – total – total – total – total – 1 elderly – total – total (9) – total – total (99) – total

[A.IT.ABITAZ_AFFOLL_MED.10.99.99.99.9.1.9.9.9.99.99] annual – Italy – household crowding index (number of components of household per square meter) – per hundred values – total – total – total – total – 1 elderly – total – total (9) – total – total (99) – total