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 | 2008 | 2017 | 2018 | 2019 | 2020 | 2004 | 2005 | 2006 | 2007 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
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
[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