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 2008200920102011201220132014
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
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
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