Spouses professional status [27_748_DF_DCIS_SEPARAZSOC_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 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 |
---|---|---|---|---|---|---|---|
A.IT.NGS.99.99.99.99.27.27 | 288 | 276 | 287 | 242 | 210 | 275 | 334 |
A.IT.NGS.99.99.99.99.27.47 | 11 | 19 | 6 | 19 | 9 | 9 | 11 |
A.IT.NGS.99.99.99.99.27.48 | 222 | 252 | 244 | 304 | 228 | 237 | 255 |
A.IT.NGS.99.99.99.99.27.49 | 146 | 103 | 162 | 165 | 117 | 113 | 118 |
A.IT.NGS.99.99.99.99.27.50 | 36 | 42 | 46 | 41 | 39 | 44 | 44 |
A.IT.NGS.99.99.99.99.27.51 | 35 | 20 | 18 | 27 | 25 | 26 | 12 |
A.IT.NGS.99.99.99.99.27.52 | 12 | 25 | 19 | 21 | 16 | 29 | 43 |
A.IT.NGS.99.99.99.99.27.53 | 235 | 333 | 318 | 358 | 333 | 338 | 433 |
A.IT.NGS.99.99.99.99.27.99 | 985 | 1070 | 1100 | 1177 | 977 | 1070 | 1251 |
A.IT.NGS.99.99.99.99.47.27 | 33 | 45 | 33 | 41 | 32 | 52 | 41 |
Showing results 1 - 10 / 81
Dimension codes and labels
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [IT] Italy
[DATA_TYPE] Indicator
- [NGS] granted separations
[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