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

Name: Pollution, criminality and noise in the dwelling place
Creator: DBnomics

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

[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

Search filters

Frequency [FREQ] (1)

Territory [REF_AREA] (36)

Measure [MEASURE] (1)

Problems in the dwelling place [PROBL_DWELLING_PLACE] (3)

Tenure status [TENURE_STATUS] (3)

Number of components [NUMBER_COMPONENTS] (6)

Household typology [HOUSEHOLD_TYPOLOGY] (10)

Number of children [NUMBER_OF_MIN_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:

Trim NA Values

Series code	2008	2017	2018	2019	2020	2004	2005	2006	2007	2009	2010	2011	2012	2013	2014	2015	2016	2021	2022
[A.4.10.2.99.99.99.9.9.9.9.TOTAL.99.99]	18.1	7.2	6.6	7.8	9.3	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[A.4.10.3.99.99.99.9.9.9.9.TOTAL.99.99]	4.8	7.2	6.8	5.9	4.5	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[A.5.10.1.99.99.99.9.9.9.9.TOTAL.99.99]	16.5	9.6	8.5	9	13.9	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[A.5.10.2.99.99.99.9.9.9.9.TOTAL.99.99]	23.5	9.5	8	8.6	13.4	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[A.5.10.3.99.99.99.9.9.9.9.TOTAL.99.99]	8.6	9.7	8.9	7.1	6.9	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[A.6.10.1.99.99.99.9.9.9.9.TOTAL.99.99]	22.5	5	3.1	3.5	6.9	6.5	5.7	5.8	5.4	4.4	4.2	3.6	3.9	6.4	7.9	5.1	5.3	7	6.8
[A.6.10.2.99.99.99.9.9.9.9.TOTAL.99.99]	26.5	5.6	3.8	4.7	6.4	12.1	10.6	12.1	9.8	11.2	9.3	6.2	5.3	7.3	6.5	7.9	5.9	5.5	6
[A.6.10.3.99.99.99.9.9.9.9.TOTAL.99.99]	15.7	5.4	4.7	4	3.5	3	1.4	2.6	2.7	2.7	2.1	4.5	3.1	5.9	12	9.6	5.1	3	3.3
[A.7.10.1.99.99.99.9.9.9.9.TOTAL.99.99]	10.5	6.4	6.8	7.7	9	11.9	10.9	11	10.6	10.9	8.9	9.6	9	8.4	10	10.4	8.2	8.2	7.8
[A.7.10.2.99.99.99.9.9.9.9.TOTAL.99.99]	18.2	7.2	6.6	7.8	9.3	18.9	16.8	16.8	17.4	17.1	15.2	13	11.3	10.6	10.9	10.8	9.9	8.7	9

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