Damaged, humid and lightless house [33_4]
Updated on DBnomics on July 21, 2023 (8:11 AM)
Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Problems with the accommodation [PROBLEM_WITH_ACCOMM]
Tenure status [TENURE_STATUS]
Household number of components [NUMBER_HOUSEHOLD_COMP]
Household typology [HOUSEHOLD_TYPOLOGY]
Number of children [NUMB_OF_CHILDREN]
Number of elderly [NUMB_OF_ELDERLY]
Fifth of equivalent household income [FIFTH_EQUIV_HOUSE_INC]
Sex of main income earner [SEX_MAIN_PERCEPTOR]
Age of main income earner [AGE_MAIN_EARNIER]
Educational level of main income earner [EDU_LEV_MAIN_EARN]
Professional status of main income earner [LABPROF_STATUS_C_MAIN_EARNER]
Dataset has 240 series. Add search filters to narrow them.
- 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 [ISTAT/33_4/A.1.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99]
- min:
- 9.7
- max:
- 12.3
- avg:
- 10.72
- σ:
- 0.952
- 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 [ISTAT/33_4/A.1.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99]
- min:
- 9.7
- max:
- 13.1
- avg:
- 10.9
- σ:
- 1.178
- 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 [ISTAT/33_4/A.1.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99]
- min:
- 4.6
- max:
- 10.4
- avg:
- 6.94
- σ:
- 2.285
- 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 [ISTAT/33_4/A.2.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99]
- min:
- 9.1
- max:
- 13.3
- avg:
- 10.905
- σ:
- 1.161
- 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 [ISTAT/33_4/A.2.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99]
- min:
- 9.7
- max:
- 16.2
- avg:
- 12.716
- σ:
- 1.718
- 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 [ISTAT/33_4/A.2.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99]
- min:
- 4.6
- max:
- 12.7
- avg:
- 9.005
- σ:
- 2.149
- 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 [ISTAT/33_4/A.3.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99]
- min:
- 8.2
- max:
- 14.3
- avg:
- 10.842
- σ:
- 1.449
- 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 [ISTAT/33_4/A.3.ABITAZ_PROBLEMI.2.99.TOT.99.9.9.9.9.TOTAL.99.99]
- min:
- 9.5
- max:
- 21.1
- avg:
- 14.837
- σ:
- 2.862
- 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 [ISTAT/33_4/A.3.ABITAZ_PROBLEMI.3.99.TOT.99.9.9.9.9.TOTAL.99.99]
- min:
- 2.2
- max:
- 11.3
- avg:
- 7.105
- σ:
- 2.37
- 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 [ISTAT/33_4/A.4.ABITAZ_PROBLEMI.1.99.TOT.99.9.9.9.9.TOTAL.99.99]
- min:
- 6.7
- max:
- 11.7
- avg:
- 9.48
- σ:
- 2.063
Showing results 1 - 10 / 240
Dimension codes and labels
[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