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.

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
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