Sex and age class of main income earner [33_4_DF_DCCV_ABITPROBL_3]

Updated on DBnomics on January 14, 2023 (12:39 AM)

Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Problems with the accommodation [PROBLEM_WITH_ACCOMM]
Sex of main income earner [SEX_MAIN_PERCEPTOR]
Age of main income earner [AGE_MAIN_EARNIER]

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
  • [ABITAZ_PROBLEMI] households with problems with the housing (percentage of household with the same characteristics)
[PROBLEM_WITH_ACCOMM] Problems with the accommodation
  • [1] rotten windows, floors etc.
  • [2] damp
  • [3] poor lightness
[SEX_MAIN_PERCEPTOR] Sex of main income earner
  • [1] males
  • [2] females
  • [9] total
[AGE_MAIN_EARNIER] Age of main income earner
  • [TOTAL] total
  • [Y35-44] 35-44 years
  • [Y45-54] 45-54 years
  • [Y55-64] 55-64 years
  • [Y_GE65] 65 years and over
  • [Y_UN35] until 35 years
Technical links