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.11.99.99.99.ITD.99.99 | 1379 | 1303 | 1132 | 1265 | 1291 | 1408 | 1428 |
A.NGD.11.99.99.99.ITD1.99.99 | 45 | 39 | 35 | 29 | 26 | 30 | 37 |
A.NGD.11.99.99.99.ITD2.99.99 | 68 | 48 | 55 | 42 | 48 | 59 | 76 |
A.NGD.11.99.99.99.ITD3.99.99 | 486 | 551 | 406 | 491 | 472 | 563 | 633 |
A.NGD.11.99.99.99.ITD4.99.99 | 132 | 149 | 141 | 134 | 160 | 146 | 165 |
A.NGD.11.99.99.99.ITD5.99.99 | 648 | 516 | 495 | 569 | 585 | 609 | 516 |
A.NGD.11.99.99.99.ITDA.99.99 | 113 | 87 | 90 | 71 | 74 | 89 | 113 |
A.NGD.11.99.99.99.ITE.99.99 | 1748 | 2080 | 2087 | 2009 | 1916 | 1982 | 1939 |
A.NGD.11.99.99.99.ITE1.99.99 | 532 | 544 | 633 | 548 | 543 | 516 | 446 |
A.NGD.11.99.99.99.ITE2.99.99 | 60 | 138 | 124 | 128 | 94 | 87 | 126 |
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