Separations - Socio-professional characteristics [27_468]
Updated on DBnomics on January 14, 2023 (12:39 AM)
Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Husband education level [EDU_LEV_HUSBAND]
Wife education level [EDU_LEV_WIFE]
Husband labour status [LABOUR_STATUS_HUSBAND]
Wife labour status [LABOUR_STATUS_WIFE]
Husband professional status [PROF_STATUS_HUSBAND]
Wife professional status [PROF_STATUS_WIFE]
Dataset has 445 series. Add search filters to narrow them.
- annual – Italy – separations granted by civil court – tertiary (university, doctoral and specialization courses) – tertiary (university, doctoral and specialization courses) – total – total – total – total [ISTAT/27_468/A.IT.NCC.11.11.99.99.99.99]
- min:
- 6,591
- max:
- 7,317
- avg:
- 6,933
- σ:
- 297.872
- annual – Italy – separations granted by civil court – tertiary (university, doctoral and specialization courses) – primary school certificate, no educational degree – total – total – total – total [ISTAT/27_468/A.IT.NCC.11.3.99.99.99.99]
- min:
- 19
- max:
- 65
- avg:
- 49.333
- σ:
- 21.453
- annual – Italy – separations granted by civil court – tertiary (university, doctoral and specialization courses) – lower secondary school certificate – total – total – total – total [ISTAT/27_468/A.IT.NCC.11.4.99.99.99.99]
- min:
- 452
- max:
- 472
- avg:
- 464
- σ:
- 8.641
- annual – Italy – separations granted by civil court – tertiary (university, doctoral and specialization courses) – upper and post secondary – total – total – total – total [ISTAT/27_468/A.IT.NCC.11.7.99.99.99.99]
- min:
- 3,385
- max:
- 3,461
- avg:
- 3,428
- σ:
- 31.822
- annual – Italy – separations granted by civil court – tertiary (university, doctoral and specialization courses) – total (99) – total – total – total – total [ISTAT/27_468/A.IT.NCC.11.99.99.99.99.99]
- min:
- 10,539
- max:
- 11,220
- avg:
- 10,874.333
- σ:
- 278.113
- annual – Italy – separations granted by civil court – primary school certificate, no educational degree – tertiary (university, doctoral and specialization courses) – total – total – total – total [ISTAT/27_468/A.IT.NCC.3.11.99.99.99.99]
- min:
- 44
- max:
- 105
- avg:
- 80.667
- σ:
- 26.386
- annual – Italy – separations granted by civil court – primary school certificate, no educational degree – primary school certificate, no educational degree – total – total – total – total [ISTAT/27_468/A.IT.NCC.3.3.99.99.99.99]
- min:
- 1,717
- max:
- 3,215
- avg:
- 2,674
- σ:
- 678.623
- annual – Italy – separations granted by civil court – primary school certificate, no educational degree – lower secondary school certificate – total – total – total – total [ISTAT/27_468/A.IT.NCC.3.4.99.99.99.99]
- min:
- 1,544
- max:
- 1,663
- avg:
- 1,600
- σ:
- 48.833
- annual – Italy – separations granted by civil court – primary school certificate, no educational degree – upper and post secondary – total – total – total – total [ISTAT/27_468/A.IT.NCC.3.7.99.99.99.99]
- min:
- 432
- max:
- 625
- avg:
- 555.667
- σ:
- 87.66
- annual – Italy – separations granted by civil court – primary school certificate, no educational degree – total (99) – total – total – total – total [ISTAT/27_468/A.IT.NCC.3.99.99.99.99.99]
- min:
- 3,737
- max:
- 5,538
- avg:
- 4,910.667
- σ:
- 830.566
Showing results 1 - 10 / 445
Dimension codes and labels
[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
- [NCC] separations 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
- [11] not employed
- [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
- [11] not employed
- [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