[33_4] Damaged, humid and lightless house
Retrieved by DBnomics on April 25, 2025 (5:33 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:
[A.1.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area – households with problems with the housing (percentage of household with the same characteristics) – rotten windows, floors etc. – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=10.2
- to
- 2020=11.3
- min:
- 9.7
- max:
- 12.3
- avg:
- 10.72
- σ:
- 0.952
[A.1.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area – households with problems with the housing (percentage of household with the same characteristics) – damp – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=10.1
- to
- 2020=13.1
- min:
- 9.7
- max:
- 13.1
- avg:
- 10.9
- σ:
- 1.178
[A.1.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area – households with problems with the housing (percentage of household with the same characteristics) – poor lightness – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=10.4
- to
- 2020=8.9
- min:
- 4.6
- max:
- 10.4
- avg:
- 6.94
- σ:
- 2.285
[A.2.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - centre (2) – households with problems with the housing (percentage of household with the same characteristics) – rotten windows, floors etc. – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=9.1
- to
- 2024=10.1
- min:
- 9.1
- max:
- 13.3
- avg:
- 10.876
- σ:
- 1.118
[A.2.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - centre (2) – households with problems with the housing (percentage of household with the same characteristics) – damp – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=11.8
- to
- 2024=12.3
- min:
- 9.7
- max:
- 16.2
- avg:
- 12.714
- σ:
- 1.639
[A.2.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - centre (2) – households with problems with the housing (percentage of household with the same characteristics) – poor lightness – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=10.8
- to
- 2024=9.3
- min:
- 4.6
- max:
- 12.7
- avg:
- 9.024
- σ:
- 2.045
[A.3.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - suburbs – households with problems with the housing (percentage of household with the same characteristics) – rotten windows, floors etc. – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=9.7
- to
- 2024=9.4
- min:
- 8.2
- max:
- 14.3
- avg:
- 10.748
- σ:
- 1.415
[A.3.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - suburbs – households with problems with the housing (percentage of household with the same characteristics) – damp – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=16.7
- to
- 2024=14.2
- min:
- 9.5
- max:
- 21.1
- avg:
- 14.805
- σ:
- 2.725
[A.3.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - suburbs – households with problems with the housing (percentage of household with the same characteristics) – poor lightness – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=11.3
- to
- 2024=7.7
- min:
- 2.2
- max:
- 11.3
- avg:
- 7.219
- σ:
- 2.289
[A.4.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – big municipality – households with problems with the housing (percentage of household with the same characteristics) – rotten windows, floors etc. – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=11.1
- to
- 2020=11.7
- min:
- 6.7
- max:
- 11.7
- avg:
- 9.48
- σ:
- 2.063
Series code | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.1.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] | - | - | - | - | 10.2 | - | - | - | - | - | - | - | - | 12.3 | 9.7 | 10.1 | 11.3 | - | - | - | - |
[A.1.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] | - | - | - | - | 10.1 | - | - | - | - | - | - | - | - | 10.8 | 10.8 | 9.7 | 13.1 | - | - | - | - |
[A.1.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] | - | - | - | - | 10.4 | - | - | - | - | - | - | - | - | 4.6 | 5.2 | 5.6 | 8.9 | - | - | - | - |
[A.2.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] | 9.1 | 9.1 | 10.2 | 11.9 | 11.5 | 9.7 | 10.1 | 11.7 | 11.4 | 11.3 | 12.2 | 11.9 | 13.3 | 12.3 | 9.7 | 10.1 | 11.3 | 10.7 | 9.7 | 11.1 | 10.1 |
[A.2.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] | 11.8 | 13.3 | 12.2 | 13.4 | 16.2 | 12.4 | 10.8 | 14.9 | 12.7 | 13.9 | 14.6 | 15 | 13.8 | 10.8 | 10.8 | 9.7 | 13.1 | 11.5 | 10.7 | 13.1 | 12.3 |
[A.2.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] | 10.8 | 11.1 | 10.2 | 12.4 | 8.9 | 10.7 | 9.3 | 12.7 | 8.4 | 10.1 | 9.2 | 9.1 | 8.1 | 4.6 | 5.2 | 5.6 | 8.9 | 8.2 | 7.6 | 9.1 | 9.3 |
[A.3.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] | 9.7 | 10.7 | 11 | 10.5 | 12 | 9.5 | 10.5 | 11.5 | 11.7 | 11.3 | 11 | 10.1 | 11.7 | 9.3 | 8.3 | 8.2 | 14.3 | 12.6 | 12.1 | 10.3 | 9.4 |
[A.3.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] | 16.7 | 18.6 | 15.7 | 14.9 | 21.1 | 15 | 15.5 | 15.2 | 15.8 | 17.9 | 16.1 | 14.7 | 12.3 | 10.1 | 9.7 | 9.5 | 15.2 | 13.9 | 14 | 14.8 | 14.2 |
[A.3.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] | 11.3 | 8.8 | 7.9 | 8.4 | 10.7 | 8.6 | 6.1 | 10 | 7.9 | 6.8 | 6.4 | 6.3 | 5.7 | 3.3 | 3 | 2.2 | 7.4 | 6.9 | 7.3 | 8.9 | 7.7 |
[A.4.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] | - | - | - | - | 11.1 | - | - | - | - | - | - | - | - | 10.6 | 6.7 | 7.3 | 11.7 | - | - | - | - |
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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:
[A.1.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area – households with problems with the housing (percentage of household with the same characteristics) – rotten windows, floors etc. – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=10.2
- to
- 2020=11.3
- min:
- 9.7
- max:
- 12.3
- avg:
- 10.72
- σ:
- 0.952
[A.1.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area – households with problems with the housing (percentage of household with the same characteristics) – damp – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=10.1
- to
- 2020=13.1
- min:
- 9.7
- max:
- 13.1
- avg:
- 10.9
- σ:
- 1.178
[A.1.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area – households with problems with the housing (percentage of household with the same characteristics) – poor lightness – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=10.4
- to
- 2020=8.9
- min:
- 4.6
- max:
- 10.4
- avg:
- 6.94
- σ:
- 2.285
[A.2.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - centre (2) – households with problems with the housing (percentage of household with the same characteristics) – rotten windows, floors etc. – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=9.1
- to
- 2024=10.1
- min:
- 9.1
- max:
- 13.3
- avg:
- 10.876
- σ:
- 1.118
[A.2.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - centre (2) – households with problems with the housing (percentage of household with the same characteristics) – damp – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=11.8
- to
- 2024=12.3
- min:
- 9.7
- max:
- 16.2
- avg:
- 12.714
- σ:
- 1.639
[A.2.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - centre (2) – households with problems with the housing (percentage of household with the same characteristics) – poor lightness – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=10.8
- to
- 2024=9.3
- min:
- 4.6
- max:
- 12.7
- avg:
- 9.024
- σ:
- 2.045
[A.3.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - suburbs – households with problems with the housing (percentage of household with the same characteristics) – rotten windows, floors etc. – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=9.7
- to
- 2024=9.4
- min:
- 8.2
- max:
- 14.3
- avg:
- 10.748
- σ:
- 1.415
[A.3.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - suburbs – households with problems with the housing (percentage of household with the same characteristics) – damp – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=16.7
- to
- 2024=14.2
- min:
- 9.5
- max:
- 21.1
- avg:
- 14.805
- σ:
- 2.725
[A.3.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – metropolitan area - suburbs – households with problems with the housing (percentage of household with the same characteristics) – poor lightness – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=11.3
- to
- 2024=7.7
- min:
- 2.2
- max:
- 11.3
- avg:
- 7.219
- σ:
- 2.289
[A.4.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] annual – big municipality – households with problems with the housing (percentage of household with the same characteristics) – rotten windows, floors etc. – total – total – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=11.1
- to
- 2020=11.7
- min:
- 6.7
- max:
- 11.7
- avg:
- 9.48
- σ:
- 2.063
Series code | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.1.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] | - | - | - | - | 10.2 | - | - | - | - | - | - | - | - | 12.3 | 9.7 | 10.1 | 11.3 | - | - | - | - |
[A.1.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] | - | - | - | - | 10.1 | - | - | - | - | - | - | - | - | 10.8 | 10.8 | 9.7 | 13.1 | - | - | - | - |
[A.1.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] | - | - | - | - | 10.4 | - | - | - | - | - | - | - | - | 4.6 | 5.2 | 5.6 | 8.9 | - | - | - | - |
[A.2.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] | 9.1 | 9.1 | 10.2 | 11.9 | 11.5 | 9.7 | 10.1 | 11.7 | 11.4 | 11.3 | 12.2 | 11.9 | 13.3 | 12.3 | 9.7 | 10.1 | 11.3 | 10.7 | 9.7 | 11.1 | 10.1 |
[A.2.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] | 11.8 | 13.3 | 12.2 | 13.4 | 16.2 | 12.4 | 10.8 | 14.9 | 12.7 | 13.9 | 14.6 | 15 | 13.8 | 10.8 | 10.8 | 9.7 | 13.1 | 11.5 | 10.7 | 13.1 | 12.3 |
[A.2.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] | 10.8 | 11.1 | 10.2 | 12.4 | 8.9 | 10.7 | 9.3 | 12.7 | 8.4 | 10.1 | 9.2 | 9.1 | 8.1 | 4.6 | 5.2 | 5.6 | 8.9 | 8.2 | 7.6 | 9.1 | 9.3 |
[A.3.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] | 9.7 | 10.7 | 11 | 10.5 | 12 | 9.5 | 10.5 | 11.5 | 11.7 | 11.3 | 11 | 10.1 | 11.7 | 9.3 | 8.3 | 8.2 | 14.3 | 12.6 | 12.1 | 10.3 | 9.4 |
[A.3.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99] | 16.7 | 18.6 | 15.7 | 14.9 | 21.1 | 15 | 15.5 | 15.2 | 15.8 | 17.9 | 16.1 | 14.7 | 12.3 | 10.1 | 9.7 | 9.5 | 15.2 | 13.9 | 14 | 14.8 | 14.2 |
[A.3.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99] | 11.3 | 8.8 | 7.9 | 8.4 | 10.7 | 8.6 | 6.1 | 10 | 7.9 | 6.8 | 6.4 | 6.3 | 5.7 | 3.3 | 3 | 2.2 | 7.4 | 6.9 | 7.3 | 8.9 | 7.7 |
[A.4.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99] | - | - | - | - | 11.1 | - | - | - | - | - | - | - | - | 10.6 | 6.7 | 7.3 | 11.7 | - | - | - | - |
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