[33_225] Housing costs
Updated on DBnomics on June 18, 2024 (9:13 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
[DATA_TYPE] Indicator
- [ABITAZ_SPESA_M] housing average monthly expenditures (in euros)
- [ABITAZ_SPESA_REDD] housing average monthly expenditures (percentage of average monthly income)
[TENURE_STATUS] Tenure status
- [1] rent
- [2] property
- [99] total
[NUMBER_HOUSEHOLD_COMP] Household 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
[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
[SEX_MAIN_PERCEPTOR] Sex of main income earner
- [1] males
- [2] females
- [9] total
[AGE_MAIN_EARNIER] Age of main income earner
- [1] until 35 years
- [2] 35-44 years
- [3] 45-54 years
- [4] 55-64 years
- [5] 65 years and over
- [9] total
[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)
Indicator [DATA_TYPE] (2)
Tenure status [TENURE_STATUS] (3)
Household number of components [NUMBER_HOUSEHOLD_COMP] (6)
Household typology [HOUSEHOLD_TYPOLOGY] (10)
Number of children [NUMB_OF_CHILDREN] (5)
Number of elderly [NUMB_OF_ELDERLY] (4)
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 150 series:
- from
- 2008=427
- to
- 2020=349
- min:
- 349
- max:
- 427
- avg:
- 374
- σ:
- 28.086
- from
- 2008=15.5
- to
- 2020=11.8
- min:
- 11.8
- max:
- 15.5
- avg:
- 13.32
- σ:
- 1.222
- from
- 2004=361
- to
- 2023=400
- min:
- 349
- max:
- 420
- avg:
- 385.65
- σ:
- 19.056
- from
- 2004=14.7
- to
- 2023=12
- min:
- 11.8
- max:
- 15.5
- avg:
- 13.91
- σ:
- 1.113
- from
- 2004=316
- to
- 2023=341
- min:
- 267
- max:
- 365
- avg:
- 333.95
- σ:
- 21.061
- from
- 2004=13.2
- to
- 2023=11.4
- min:
- 10.9
- max:
- 14.4
- avg:
- 12.895
- σ:
- 0.893
- from
- 2008=316
- to
- 2020=283
- min:
- 258
- max:
- 316
- avg:
- 280.6
- σ:
- 20.422
- from
- 2008=13.3
- to
- 2020=10.3
- min:
- 10.3
- max:
- 13.3
- avg:
- 11.02
- σ:
- 1.15
- from
- 2008=329
- to
- 2020=290
- min:
- 282
- max:
- 329
- avg:
- 296.2
- σ:
- 17.267
- from
- 2008=13.3
- to
- 2020=10.9
- min:
- 10.9
- max:
- 13.3
- avg:
- 11.62
- σ:
- 0.875
Series code | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.1.ABITAZ_SPESA_M.99.99.99.9.9.9.9.99.99] | - | - | - | - | 427 | - | - | - | - | - | - | - | - | 352 | 369 | 373 | 349 | - | - | - |
[A.1.ABITAZ_SPESA_REDD.99.99.99.9.9.9.9.99.99] | - | - | - | - | 15.5 | - | - | - | - | - | - | - | - | 12.7 | 13.4 | 13.2 | 11.8 | - | - | - |
[A.2.ABITAZ_SPESA_M.99.99.99.9.9.9.9.99.99] | 361 | 386 | 384 | 402 | 362 | 387 | 395 | 404 | 396 | 420 | 402 | 410 | 395 | 352 | 369 | 373 | 349 | 379 | 387 | 400 |
[A.2.ABITAZ_SPESA_REDD.99.99.99.9.9.9.9.99.99] | 14.7 | 14.8 | 14.8 | 15.1 | 14.8 | 13.9 | 13.7 | 14.4 | 14.2 | 15.5 | 14.8 | 15.1 | 14.4 | 12.7 | 13.4 | 13.2 | 11.8 | 12.9 | 12 | 12 |
[A.3.ABITAZ_SPESA_M.99.99.99.9.9.9.9.99.99] | 316 | 323 | 327 | 340 | 267 | 365 | 361 | 352 | 346 | 358 | 346 | 340 | 332 | 325 | 334 | 334 | 306 | 330 | 336 | 341 |
[A.3.ABITAZ_SPESA_REDD.99.99.99.9.9.9.9.99.99] | 13.2 | 13.2 | 13.7 | 13.9 | 12.4 | 14.4 | 14 | 13.3 | 13.2 | 13.3 | 13.6 | 13.3 | 13 | 12.5 | 12.6 | 12.5 | 10.9 | 11.6 | 11.9 | 11.4 |
[A.4.ABITAZ_SPESA_M.99.99.99.9.9.9.9.99.99] | - | - | - | - | 316 | - | - | - | - | - | - | - | - | 258 | 263 | 283 | 283 | - | - | - |
[A.4.ABITAZ_SPESA_REDD.99.99.99.9.9.9.9.99.99] | - | - | - | - | 13.3 | - | - | - | - | - | - | - | - | 10.5 | 10.3 | 10.7 | 10.3 | - | - | - |
[A.5.ABITAZ_SPESA_M.99.99.99.9.9.9.9.99.99] | - | - | - | - | 329 | - | - | - | - | - | - | - | - | 283 | 282 | 297 | 290 | - | - | - |
[A.5.ABITAZ_SPESA_REDD.99.99.99.9.9.9.9.99.99] | - | - | - | - | 13.3 | - | - | - | - | - | - | - | - | 11.3 | 11 | 11.6 | 10.9 | - | - | - |
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