Separations - Socio-professional characteristics [27_468]

Updated by DBnomics on June 11, 2019

Frequency [FREQ]
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]
Data type [TIPO_DATO]
Husband educational level [TITOLO_STUDIO_MARITO]
Wife educational level [TITOLO_STUDIO_MOGLIE]

Dataset has 445 series. Add search filters to narrow them.

Dimensions codes and labels
[FREQ] Frequency
  • [A] annual
[CONDIZIONE_PROF_MARITO] Husband labour status
  • [1] employed person
  • [4] housewife
  • [11] not employed
  • [10] other
  • [6] retired
  • [5] student
  • [99] total
  • [20] unable to work
  • [2] unemployed person with work experience
  • [3] unemployed person without work experience
[CONDIZIONE_PROF_MOGLIE] Wife labour status
  • [1] employed person
  • [4] housewife
  • [11] not employed
  • [10] other
  • [6] retired
  • [5] student
  • [99] total
  • [20] unable to work
  • [2] unemployed person with work experience
  • [3] unemployed person without work experience
[ITTER107] Territory
  • [ITF1] Abruzzo
  • [ITF5] Basilicata
  • [ITF6] Calabria
  • [ITF3] Campania
  • [ITE] Centro (I)
  • [ITD5] Emilia-Romagna
  • [ITD4] Friuli-Venezia Giulia
  • [ITG] Isole
  • [IT] Italy
  • [ITE4] Lazio
  • [ITC3] Liguria
  • [ITC4] Lombardia
  • [ITE3] Marche
  • [ITF2] Molise
  • [ITD] Nord-est
  • [ITC] Nord-ovest
  • [ITC1] Piemonte
  • [ITD1] Provincia Autonoma Bolzano / Bozen
  • [ITD2] Provincia Autonoma Trento
  • [ITF4] Puglia
  • [ITG2] Sardegna
  • [ITG1] Sicilia
  • [ITF] Sud
  • [ITE1] Toscana
  • [ITDA] Trentino Alto Adige / Südtirol
  • [ITE2] Umbria
  • [ITC2] Valle d'Aosta / Vallée d'Aoste
  • [ITD3] Veneto
[POSIZIONE_PROF_MARITO] Husband professional status
  • [49] employee: blu collar
  • [47] employee: executive
  • [48] employee: white collar
  • [50] not employee: employer or professional
  • [51] not employee: industry
  • [27] other employee
  • [52] other not employee
  • [99] total
  • [53] unemployed person
[POSIZIONE_PROF_MOGLIE] Wife professional status
  • [49] employee: blu collar
  • [47] employee: executive
  • [48] employee: white collar
  • [50] not employee: employer or professional
  • [51] not employee: industry
  • [27] other employee
  • [52] other not employee
  • [99] total
  • [53] unemployed person
[TIPO_DATO] Data type
  • [NCC] number of separations granted by civil court
[TITOLO_STUDIO_MARITO] Husband educational level
  • [4] lower secondary school certificate
  • [3] primary school certificate, no educational degree
  • [11] tertiary (university, doctoral and specialization courses)
  • [99] total
  • [7] upper and post secondary
[TITOLO_STUDIO_MOGLIE] Wife educational level
  • [4] lower secondary school certificate
  • [3] primary school certificate, no educational degree
  • [11] tertiary (university, doctoral and specialization courses)
  • [99] total
  • [7] upper and post secondary
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