[27_475] Divorces - Socio-professional characteristics
Updated on DBnomics on January 14, 2023 (12:39 AM).
[FREQ] Frequency
- [A] annual
[REF_AREA] 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
[DATA_TYPE] Indicator
- [NGD_C] granted divorces granted by civil court
[EDU_LEV_HUSBAND] Husband education 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
[EDU_LEV_WIFE] Wife education 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
[LABOUR_STATUS_HUSBAND] Husband 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
[LABOUR_STATUS_WIFE] 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
[PROF_STATUS_HUSBAND] 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
[PROF_STATUS_WIFE] 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
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (28)
Indicator [DATA_TYPE] (1)
Husband education level [EDU_LEV_HUSBAND] (5)
Wife education level [EDU_LEV_WIFE] (5)
Husband labour status [LABOUR_STATUS_HUSBAND] (9)
Wife labour status [LABOUR_STATUS_WIFE] (9)
Husband professional status [PROF_STATUS_HUSBAND] (9)
Wife professional status [PROF_STATUS_WIFE] (9)
This dataset has 428 series:
Series code | 2015 | 2016 | 2017 |
---|---|---|---|
[A.IT.NGD_C.99.11.99.99.99.99] | 9418 | 11269 | 10310 |
[A.IT.NGD_C.99.3.99.99.99.99] | 1825 | 3635 | 4102 |
[A.IT.NGD_C.99.4.99.99.99.99] | 18027 | 19589 | 19441 |
[A.IT.NGD_C.99.7.99.99.99.99] | 26159 | 29572 | 28387 |
[A.IT.NGD_C.99.99.1.1.99.99] | 32471 | 36638 | 34513 |
[A.IT.NGD_C.99.99.1.10.99.99] | 428 | 685 | 766 |
[A.IT.NGD_C.99.99.1.2.99.99] | 4105 | 4935 | 4806 |
[A.IT.NGD_C.99.99.1.20.99.99] | 140 | 161 | 180 |
[A.IT.NGD_C.99.99.1.3.99.99] | 627 | 671 | 685 |
[A.IT.NGD_C.99.99.1.4.99.99] | 5830 | 6998 | 7106 |
Showing results 21 - 30 / 428