Spouses professional status [27_468_DF_DCIS_SEPARAZSOC1_5]
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 81 series. Add search filters to narrow them.
Series code | 2015 | 2016 | 2017 |
---|---|---|---|
A.IT.NCC.99.99.99.99.27.27 | 281 | 291 | 312 |
A.IT.NCC.99.99.99.99.27.47 | 8 | 8 | 11 |
A.IT.NCC.99.99.99.99.27.48 | 202 | 227 | 230 |
A.IT.NCC.99.99.99.99.27.49 | 97 | 119 | 121 |
A.IT.NCC.99.99.99.99.27.50 | 43 | 52 | 44 |
A.IT.NCC.99.99.99.99.27.51 | 18 | 32 | 23 |
A.IT.NCC.99.99.99.99.27.52 | 21 | 21 | 14 |
A.IT.NCC.99.99.99.99.27.53 | 350 | 425 | 329 |
A.IT.NCC.99.99.99.99.27.99 | 1019 | 1175 | 1084 |
A.IT.NCC.99.99.99.99.47.27 | 29 | 54 | 51 |
Showing results 1 - 10 / 81
Dimension codes and labels
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [IT] Italy
[DATA_TYPE] Indicator
- [NCC] separations granted by civil court
[EDU_LEV_HUSBAND] Husband education level
- [99] total
[EDU_LEV_WIFE] Wife education level
- [99] total
[LABOUR_STATUS_HUSBAND] Husband labour status
- [99] total
[LABOUR_STATUS_WIFE] Wife labour status
- [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