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[33_291_DF_DCCV_PROBLZONRES_2_3] Gender and age class of main income earner

Updated on DBnomics on July 21, 2023 (8:11 AM).

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Frequency [FREQ] (1)
Territory [REF_AREA] (1)
Measure [MEASURE] (1)
Problems in the dwelling place [PROBL_DWELLING_PLACE] (3)
Tenure status [TENURE_STATUS] (1)
Number of components [NUMBER_COMPONENTS] (1)
Household typology [HOUSEHOLD_TYPOLOGY] (1)
Number of children [NUMBER_OF_MIN_CHILDREN] (1)
Number of elderly [NUMB_OF_ELDERLY] (1)
Fifth of equivalent household income [FIFTH_EQUIV_HOUSE_INC] (1)
Sex of main income earner [SEX_MAIN_PERCEPTOR] (3)
Age of main income earner [AGE_MAIN_EARNIER] (6)
Educational level of main income earner [EDU_LEV_MAIN_EARN] (1)
Professional status of main income earner [LABPROF_STATUS_C_MAIN_EARNER] (1)

This dataset has 24 series: