[33_4] Damaged, humid and lightless house
Updated on DBnomics on July 21, 2023 (8:11 AM).
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [1] metropolitan area
- [2] metropolitan area - centre
- [3] metropolitan area - suburbs
- [4] big municipality
- [5] small municipality
- [6] until 2,000 inhab.
- [7] 2,001 - 10,000 inhab.
- [8] 10,001 - 50,000 inhab.
- [9] 50,001 inhab. and over
- [IT] Italy
- [ITC] Nord-ovest
- [ITC1] Piemonte
- [ITC2] Valle d'Aosta / Vallée d'Aoste
- [ITC3] Liguria
- [ITC4] Lombardia
- [ITD] Nord-est
- [ITD1] Provincia Autonoma Bolzano / Bozen
- [ITD2] Provincia Autonoma Trento
- [ITD3] Veneto
- [ITD4] Friuli-Venezia Giulia
- [ITD5] Emilia-Romagna
- [ITE] Centro (I)
- [ITE1] Toscana
- [ITE2] Umbria
- [ITE3] Marche
- [ITE4] Lazio
- [ITF] Sud
- [ITF1] Abruzzo
- [ITF2] Molise
- [ITF3] Campania
- [ITF4] Puglia
- [ITF5] Basilicata
- [ITF6] Calabria
- [ITG] Isole
- [ITG1] Sicilia
- [ITG2] Sardegna
[DATA_TYPE] Indicator
- [ABITAZ_PROBLEMI] households with problems with the housing (percentage of household with the same characteristics)
[PROBLEM_WITH_ACCOMM] Problems with the accommodation
- [1] rotten windows, floors etc.
- [2] damp
- [3] poor lightness
[TENURE_STATUS] Tenure status
- [1] rent
- [2] property
- [99] total
[NUMBER_HOUSEHOLD_COMP] Household number of components
- [N1] 1
- [N2] 2
- [N3] 3
- [N4] 4
- [N5_GE] 5 and over
- [TOT] total
[HOUSEHOLD_TYPOLOGY] Household typology
- [10] couple without children with r.p. 65 and over
- [16] couple with at least one children
- [17] couple with adult sons
- [18] single parent with at least one children
- [19] single parent with adult sons
- [2] single member under 65
- [23] other typology
- [5] single member 65 and over
- [7] couple without children with r.p. under 65
- [99] total
[NUMB_OF_CHILDREN] Number of children
- [1] 1 minor child
- [2] 2 minor child
- [3] 3 minor child and over
- [5] no minor child
- [9] total
[NUMB_OF_ELDERLY] Number of elderly
- [1] 1 elderly
- [2] 2 elderly or more
- [4] no elderly
- [9] total
[FIFTH_EQUIV_HOUSE_INC] Fifth of equivalent household income
- [1] first(lowest)
- [2] second
- [3] third
- [4] fourth
- [5] fifth(highest)
- [9] total
[SEX_MAIN_PERCEPTOR] Sex of main income earner
- [1] males
- [2] females
- [9] total
[AGE_MAIN_EARNIER] Age of main income earner
- [TOTAL] total
- [Y35-44] 35-44 years
- [Y45-54] 45-54 years
- [Y55-64] 55-64 years
- [Y_GE65] 65 years and over
- [Y_UN35] until 35 years
[EDU_LEV_MAIN_EARN] Educational level of main income earner
- [11] tertiary (university, doctoral and specialization courses)
- [3] primary school certificate, no educational degree
- [4] lower secondary school certificate
- [7] upper and post secondary
- [99] total
[LABPROF_STATUS_C_MAIN_EARNER] Professional status of main income earner
- [1A] self employed
- [1B] employee
- [2A] retired
- [2B] seeking for job
- [2C] other condition
- [99] total
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (36)
Indicator [DATA_TYPE] (1)
Problems with the accommodation [PROBLEM_WITH_ACCOMM] (3)
Tenure status [TENURE_STATUS] (3)
Household number of components [NUMBER_HOUSEHOLD_COMP] (6)
Household typology [HOUSEHOLD_TYPOLOGY] (10)
Number of children [NUMB_OF_CHILDREN] (5)
Number of elderly [NUMB_OF_ELDERLY] (4)
Fifth of equivalent household income [FIFTH_EQUIV_HOUSE_INC] (6)
Sex of main income earner [SEX_MAIN_PERCEPTOR] (3)
Age of main income earner [AGE_MAIN_EARNIER] (6)
Educational level of main income earner [EDU_LEV_MAIN_EARN] (5)
Professional status of main income earner [LABPROF_STATUS_C_MAIN_EARNER] (6)
This dataset has 240 series:
| Series code | 2008 | 2017 | 2018 | 2019 | 2020 | 2004 | 2005 | 2006 | 2007 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2021 | 2022 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [A.4.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] | 20.4 | 10.2 | 9.5 | 10.5 | 16.7 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| [A.4.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] | 8.7 | 3.7 | 2.7 | 2.6 | 6.4 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| [A.5.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] | 10.1 | 10.8 | 8.4 | 8.3 | 13.2 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| [A.5.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] | 16.9 | 10.3 | 10.4 | 9.8 | 15.5 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| [A.5.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] | 6.9 | 3.7 | 3.3 | 2.4 | 5.7 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| [A.6.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] | 9 | 11.4 | 7.1 | 7.1 | 10.4 | 13.8 | 12 | 14.6 | 12.8 | 13 | 14.5 | 16.5 | 13.2 | 15.3 | 15.5 | 17.9 | 13.5 | 9.6 | 10.1 |
| [A.6.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] | 15.9 | 14 | 10.8 | 10.8 | 15.9 | 26.6 | 24.8 | 23.5 | 21.3 | 22.5 | 23.6 | 24.2 | 19.8 | 24.3 | 28.8 | 28 | 18.8 | 14.4 | 15.1 |
| [A.6.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] | 9.5 | 4.2 | 1.9 | 2.4 | 5.2 | 11.4 | 10.8 | 10.9 | 10.3 | 11.3 | 10 | 9.4 | 10.7 | 10.7 | 11 | 12.6 | 6.2 | 5.5 | 6.7 |
| [A.7.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] | 11.1 | 10.6 | 6.7 | 7.3 | 11.7 | 11.8 | 11 | 12 | 11.7 | 11.5 | 11.1 | 12.1 | 10.1 | 10.9 | 11.6 | 11.2 | 12.1 | 11 | 9.8 |
| [A.7.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] | 20.4 | 10.2 | 9.5 | 10.5 | 16.7 | 22 | 21.3 | 21.3 | 20.8 | 20.4 | 20.4 | 19.6 | 15.9 | 18.2 | 20.9 | 20.8 | 14.1 | 15 | 14.5 |
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