Divorces - Social characteristics 2008-2014 [27_749]
Updated on DBnomics on January 11, 2023 (1:18 PM)
Frequency [FREQ]
Data type [TIPO_DATO]
Husband educational level [TITOLO_STUDIO_MARITO]
Wife educational level [TITOLO_STUDIO_MOGLIE]
Husband labour status [CONDIZIONE_PROF_MARITO]
Wife labour status [CONDIZIONE_PROF_MOGLIE]
Territory [ITTER107]
Husband professional status [POSIZIONE_PROF_MARITO]
Wife professional status [POSIZIONE_PROF_MOGLIE]
Dataset has 419 series. Add search filters to narrow them.
Series code | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 |
---|---|---|---|---|---|---|---|
A.NGD.11.11.99.99.IT.99.99 | 3724 | 4171 | 4033 | 4205 | 4304 | 4459 | 4722 |
A.NGD.11.3.99.99.IT.99.99 | 23 | 29 | 24 | 25 | 46 | 14 | 28 |
A.NGD.11.4.99.99.IT.99.99 | 427 | 440 | 410 | 416 | 393 | 405 | 308 |
A.NGD.11.7.99.99.IT.99.99 | 2561 | 2616 | 2518 | 2507 | 2620 | 2632 | 2426 |
A.NGD.11.99.99.99.IT.99.99 | 6735 | 7256 | 6985 | 7153 | 7363 | 7511 | 7483 |
A.NGD.11.99.99.99.ITC.99.99 | 2121 | 2224 | 2245 | 2269 | 2367 | 2399 | 2452 |
A.NGD.11.99.99.99.ITC1.99.99 | 569 | 563 | 492 | 568 | 618 | 621 | 714 |
A.NGD.11.99.99.99.ITC2.99.99 | 26 | 22 | 14 | 23 | 21 | 17 | 19 |
A.NGD.11.99.99.99.ITC3.99.99 | 262 | 243 | 250 | 297 | 314 | 264 | 254 |
A.NGD.11.99.99.99.ITC4.99.99 | 1264 | 1396 | 1489 | 1381 | 1414 | 1496 | 1465 |
Showing results 1 - 10 / 419
Dimension codes and labels
[FREQ] Frequency
- [A] annual
[TIPO_DATO] Data type
- [NGD] granted divorces
[TITOLO_STUDIO_MARITO] Husband educational level
- [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
[TITOLO_STUDIO_MOGLIE] Wife educational level
- [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
[CONDIZIONE_PROF_MARITO] Husband labour status
- [1] employed person
- [10] other
- [2] unemployed person with work experience
- [20] unable to work
- [3] unemployed person without work experience
- [5] student
- [6] retired
- [99] total
[CONDIZIONE_PROF_MOGLIE] Wife labour status
- [1] employed person
- [10] other
- [2] unemployed person with work experience
- [20] unable to work
- [3] unemployed person without work experience
- [4] housewife
- [5] student
- [6] retired
- [99] total
[ITTER107] Territory
- [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
- [ITDA] Trentino Alto Adige / Südtirol
- [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
[POSIZIONE_PROF_MARITO] Husband professional status
- [27] other employee
- [47] employee: executive
- [48] employee: white collar
- [49] employee: blu collar
- [50] not employee: employer or professional
- [51] not employee: industry
- [52] other not employee
- [53] unemployed person
- [99] total
[POSIZIONE_PROF_MOGLIE] Wife professional status
- [27] other employee
- [47] employee: executive
- [48] employee: white collar
- [49] employee: blu collar
- [50] not employee: employer or professional
- [51] not employee: industry
- [52] other not employee
- [53] unemployed person
- [99] total