Poor households - professional condition of the reference person [34_727_DF_DCCV_POVERTA_16]

Updated on DBnomics on October 29, 2023 (9:18 AM)

Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Poverty lines [POVERTY_LINES]
Household number of components [NUMBER_HOUSEHOLD_COMP]
Household typology [HOUSEHOLD_TYPOLOGY]
Age of the reference person [AGE_REFERENCE_PERSON]
Highest level of education attained by the reference person [EDU_LEV_REFPERS]
Professional condition of the reference person [LABPROF_STATUS_B_REF]
Sex [SEX]
Age [AGE]

Dataset has 24 series. Add search filters to narrow them.

Dimension codes and labels
[FREQ] Frequency
  • [A] annual
[REF_AREA] Territory
  • [IT] Italy
[DATA_TYPE] Indicator
  • [INCID_POVASS_FAM] household absolute poverty incidence (% of households in absolute poverty)
  • [INCID_POVREL_FAM] household relative poverty incidence (% of households in relative poverty)
[POVERTY_LINES] Poverty lines
  • [ALL] all items
[NUMBER_HOUSEHOLD_COMP] Household number of components
  • [TOT] total
[HOUSEHOLD_TYPOLOGY] Household typology
  • [HH] all private households
[AGE_REFERENCE_PERSON] Age of the reference person
  • [TOTAL] total
[EDU_LEV_REFPERS] Highest level of education attained by the reference person
  • [99] total
[LABPROF_STATUS_B_REF] Professional condition of the reference person
  • [ALL] all items
  • [EMP] employee
  • [EMPD] employed person
  • [ENTFRL] entrepreneur and freelance
  • [EXMMGWC] executive, middle management and white collar
  • [NEMPD] not employed person
  • [OTHER1] other self-employed
  • [OTHER4] other condition (different from retired)
  • [RET] retired
  • [SEEKJ] seeking for job
  • [SLFEMP] self-employed
  • [WRK] worker
[SEX] Sex
  • [9] total
[AGE] Age
  • [TOTAL] total
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