Pollution, criminality and noise in the dwelling place [33_291]

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

Frequency [FREQ]
Territory [REF_AREA]
Measure [MEASURE]
Problems in the dwelling place [PROBL_DWELLING_PLACE]
Tenure status [TENURE_STATUS]
Number of components [NUMBER_COMPONENTS]
Household typology [HOUSEHOLD_TYPOLOGY]
Number of children [NUMBER_OF_MIN_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.

Series code 2008201720182019202020042005200620072009201020112012201320142015201620212022
A.1.10.1.99.99.99.9.9.9.9.TOTAL.99.99 42.5 23.9 23.5 24.1 27.1
A.1.10.2.99.99.99.9.9.9.9.TOTAL.99.99 39.1 23.7 22.8 23.1 24.2
A.1.10.3.99.99.99.9.9.9.9.TOTAL.99.99 36.6 22.4 20.5 17.5 18.4
A.2.10.1.99.99.99.9.9.9.9.TOTAL.99.99 19.1 23.9 23.5 24.1 27.1 47.6 49 46.2 48.4 43.9 35.8 40.7 30.6 30.3 30.7 34.5 29.7 25.3 23
A.2.10.2.99.99.99.9.9.9.9.TOTAL.99.99 26.1 23.7 22.8 23.1 24.2 42.9 41.2 40.1 44.7 39.4 35.5 40.2 29 30 28.6 32.6 28.9 24.1 24.2
A.2.10.3.99.99.99.9.9.9.9.TOTAL.99.99 17.6 22.4 20.5 17.5 18.4 41 38.6 40.3 43.3 37.1 30.7 31.8 27.5 26.3 29.4 35 28.4 19.5 17.2
A.3.10.1.99.99.99.9.9.9.9.TOTAL.99.99 4 12.5 12.3 11.6 15.7 25.9 22.8 23.2 23.4 21.2 19.3 21.8 24.5 19.1 16.3 14.8 12.6 13.8 12.2
A.3.10.2.99.99.99.9.9.9.9.TOTAL.99.99 10 15.4 11.6 12.1 15.1 30 26.3 26.5 27.2 29.2 27.5 20.7 23.5 20.7 16.5 15.8 16.2 13.8 12.2
A.3.10.3.99.99.99.9.9.9.9.TOTAL.99.99 3.3 15.9 12.9 12.2 9.1 17.5 16.3 17.3 19.7 22.7 16.8 17.2 23.8 22.2 19.4 17.4 14.2 9.1 6.6
A.4.10.1.99.99.99.9.9.9.9.TOTAL.99.99 10.4 6.4 6.8 7.7 9
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
[MEASURE] Measure
  • [10] per hundred values
[PROBL_DWELLING_PLACE] Problems in the dwelling place
  • [1] pollution
  • [2] noise
  • [3] criminality
[TENURE_STATUS] Tenure status
  • [1] rent
  • [2] property
  • [99] total
[NUMBER_COMPONENTS] Number of components
  • [1] one
  • [2] two
  • [3] three
  • [4] four
  • [7] five or more
  • [99] 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
[NUMBER_OF_MIN_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
Technical links