Separations - Social characteristics 2008-2014 [27_748]
Updated on DBnomics on January 11, 2023 (1:18 PM)
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]
Wife educational level [TITOLO_STUDIO_MOGLIE]
Data type [TIPO_DATO]
Husband educational level [TITOLO_STUDIO_MARITO]
Dataset has 419 series. Add search filters to narrow them.
- annual – employed person – employed person – Italy – total – total – total (99) – granted separations – total (99) [ISTAT/27_748/A.1.1.IT.99.99.99.NGS.99]
- min:
- 45,333
- max:
- 50,909
- avg:
- 48,347.286
- σ:
- 2,222.075
- annual – employed person – other – Italy – total – total – total (99) – granted separations – total (99) [ISTAT/27_748/A.1.10.IT.99.99.99.NGS.99]
- min:
- 481
- max:
- 759
- avg:
- 640.857
- σ:
- 103.845
- annual – employed person – unemployed person with work experience – Italy – total – total – total (99) – granted separations – total (99) [ISTAT/27_748/A.1.2.IT.99.99.99.NGS.99]
- min:
- 4,585
- max:
- 7,645
- avg:
- 6,158.429
- σ:
- 998.566
- annual – employed person – unable to work – Italy – total – total – total (99) – granted separations – total (99) [ISTAT/27_748/A.1.20.IT.99.99.99.NGS.99]
- min:
- 157
- max:
- 198
- avg:
- 175.143
- σ:
- 15.533
- annual – employed person – unemployed person without work experience – Italy – total – total – total (99) – granted separations – total (99) [ISTAT/27_748/A.1.3.IT.99.99.99.NGS.99]
- min:
- 1,064
- max:
- 1,319
- avg:
- 1,208.143
- σ:
- 93.109
- annual – employed person – housewife – Italy – total – total – total (99) – granted separations – total (99) [ISTAT/27_748/A.1.4.IT.99.99.99.NGS.99]
- min:
- 11,745
- max:
- 13,221
- avg:
- 12,495.286
- σ:
- 471.058
- annual – employed person – student – Italy – total – total – total (99) – granted separations – total (99) [ISTAT/27_748/A.1.5.IT.99.99.99.NGS.99]
- min:
- 123
- max:
- 238
- avg:
- 186.714
- σ:
- 47.692
- annual – employed person – retired – Italy – total – total – total (99) – granted separations – total (99) [ISTAT/27_748/A.1.6.IT.99.99.99.NGS.99]
- min:
- 474
- max:
- 641
- avg:
- 554.286
- σ:
- 53.883
- annual – employed person – total – Italy – total – total – total (99) – granted separations – total (99) [ISTAT/27_748/A.1.99.IT.99.99.99.NGS.99]
- min:
- 67,681
- max:
- 71,194
- avg:
- 69,766
- σ:
- 1,245.735
- annual – other – employed person – Italy – total – total – total (99) – granted separations – total (99) [ISTAT/27_748/A.10.1.IT.99.99.99.NGS.99]
- min:
- 678
- max:
- 1,028
- avg:
- 837
- σ:
- 115.998
Showing results 1 - 10 / 419
Dimension codes and labels
[FREQ] Frequency
- [A] annual
[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
[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
[TIPO_DATO] Data type
- [NGS] granted separations
[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