[A.IT.ABITAZ_AFFOLL_MED.10.99.2.99.9.9.9.9.9.99.99] annual – Italy – household crowding index (number of components of household per square meter) – per hundred values – total – two – total – total – total – 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 – two – total – total – total – total – total (9) – total – total (99) – total
Creator: DBnomics

Updated on DBnomics on July 21, 2023 (8:11 AM)

min:: 2.3

max:: 2.5

avg:: 2.374

σ:: 0.055

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Trim NA Values

Period	Value
2004	2.5
2005	2.4
2006	2.4
2007	2.4
2008	2.4
2009	2.4
2010	2.4
2011	2.4
2012	2.4
2013	2.4
2014	2.4
2015	2.4
2016	2.4
2017	2.3
2018	2.3
2019	2.3
2020	2.3
2021	2.3
2022	2.3

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	[2] two
[HOUSEHOLD_TYPOLOGY] Household typology	[99] total
[NUMB_OF_CHILDREN] Number of children	[9] total
[NUMB_OF_ELDERLY] Number of elderly	[9] total
[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.10.99.2.99.9.9.9.9.9.99.99] annual – Italy – household crowding index (number of components of household per square meter) – per hundred values – total – two – total – total – total – total – total (9) – total – total (99) – total

[A.IT.ABITAZ_AFFOLL_MED.10.99.2.99.9.9.9.9.9.99.99] annual – Italy – household crowding index (number of components of household per square meter) – per hundred values – total – two – total – total – total – total – total (9) – total – total (99) – total