[33_225] Housing costs
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
[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:
Series code | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.IT.ABITAZ_SPESA_M.99.1.99.9.9.9.9.99.99] | 237 | 253 | 259 | 269 | 281 | 270 | 264 | 265 | 259 | 267 | 261 | 258 | 268 | 256 | 261 | 270 | 262 | 280 | 289 |
[A.IT.ABITAZ_SPESA_M.99.2.99.9.9.9.9.99.99] | 287 | 303 | 305 | 320 | 338 | 326 | 319 | 319 | 308 | 318 | 325 | 311 | 318 | 288 | 295 | 311 | 300 | 315 | 331 |
[A.IT.ABITAZ_SPESA_M.99.3.99.9.9.9.9.99.99] | 325 | 344 | 346 | 364 | 388 | 366 | 356 | 367 | 357 | 370 | 360 | 355 | 353 | 317 | 325 | 341 | 329 | 351 | 356 |
[A.IT.ABITAZ_SPESA_M.99.4.99.9.9.9.9.99.99] | 331 | 362 | 359 | 378 | 398 | 385 | 369 | 365 | 365 | 373 | 365 | 363 | 372 | 340 | 338 | 359 | 344 | 358 | 352 |
[A.IT.ABITAZ_SPESA_M.99.7.99.9.9.9.9.99.99] | 348 | 373 | 390 | 393 | 423 | 406 | 409 | 397 | 394 | 388 | 380 | 380 | 388 | 374 | 393 | 383 | 386 | 382 | 412 |
[A.IT.ABITAZ_SPESA_M.99.99.10.9.9.9.9.99.99] | 253 | 274 | 274 | 291 | 297 | 282 | 280 | 276 | 266 | 279 | 290 | 277 | 284 | 252 | 266 | 280 | 268 | 293 | 301 |
[A.IT.ABITAZ_SPESA_M.99.99.16.9.9.9.9.99.99] | 332 | 358 | 368 | 389 | 415 | 401 | 389 | 386 | 380 | 392 | 382 | 384 | 382 | 354 | 359 | 374 | 364 | 375 | 376 |
[A.IT.ABITAZ_SPESA_M.99.99.17.9.9.9.9.99.99] | 323 | 344 | 338 | 346 | 367 | 342 | 334 | 338 | 332 | 336 | 338 | 326 | 334 | 300 | 303 | 326 | 308 | 332 | 334 |
[A.IT.ABITAZ_SPESA_M.99.99.18.9.9.9.9.99.99] | 346 | 374 | 364 | 372 | 406 | 411 | 379 | 382 | 377 | 404 | 369 | 380 | 372 | 334 | 343 | 347 | 363 | 366 | 373 |
[A.IT.ABITAZ_SPESA_M.99.99.19.9.9.9.9.99.99] | 306 | 316 | 309 | 325 | 337 | 329 | 332 | 337 | 320 | 331 | 333 | 314 | 331 | 293 | 294 | 302 | 305 | 312 | 335 |
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