[498_1104_DF_DCCV_RISKPOV_2] Household type
Updated on DBnomics on April 25, 2025 (5:33 AM).
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [IT] Italy
[DATA_TYPE] Indicator
- [PCT_LOW_WORK_INT_EU2030] People in households with very low work intensity - Europa 2030
- [PCT_MAT_SOC_DEP_MOD13_EU2030] People in conditions of material e social deprivation (5 out of 13 symptoms) - Europe 2030
- [PCT_POV_SOC_EXCL_EU2030] People at risk of poverty or social exclusion - Europe 2030
- [PCT_RISK_POV] People at risk of poverty
- [PCT_SEV_MAT_SOC_DEP_MOD13_EU2030] People in conditions of severe material and social deprivation (7 out of 13 symptoms) - Europe 2030
[MEASURE] Measure
- [10] per hundred values
- [9] absolute values
[FAM_MAIN_INCOME_SOURCE] Households main income source
- [9] total
[NUMBER_HOUSEHOLD_COMP] Household number of components
- [99] total
[HOUSEHOLD_TYPOLOGY] Household typology
- [10] couple without children with r.p. 65 and over
- [16] couple with at least one children
- [17] couple with adult sons
- [18] single parent with at least one children
- [19] single parent with adult sons
- [2] single member under 65
- [23] other typology
- [5] single member 65 and over
- [7] couple without children with r.p. under 65
- [99] total
[NUMB_OF_CHILDREN] Number of children
- [9] total
[NUMB_OF_ELDERLY] Number of elderly
- [9] total
[NUMB_INCOM_EARN] Number of income earners
- [TOT] total
[SEX_MAIN_PERCEPTOR] Sex of main income earner
- [9] total
[AGE_MAIN_EARNIER] Age of main income earner
- [TOTAL] total
[EDU_LEV_MAIN_EARN] Educational level of main income earner
- [99] total
[LABPROF_STATUS_C_MAIN_EARNER] Professional status of main income earner
- [99] total
[CITIZENSHIP_MAIN_EARN] Citizenship of main income earner
- [TOTAL] total
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (1)
Indicator [DATA_TYPE] (5)
Measure [MEASURE] (2)
Households main income source [FAM_MAIN_INCOME_SOURCE] (1)
Household number of components [NUMBER_HOUSEHOLD_COMP] (1)
Household typology [HOUSEHOLD_TYPOLOGY] (10)
Number of children [NUMB_OF_CHILDREN] (1)
Number of elderly [NUMB_OF_ELDERLY] (1)
Number of income earners [NUMB_INCOM_EARN] (1)
Sex of main income earner [SEX_MAIN_PERCEPTOR] (1)
Age of main income earner [AGE_MAIN_EARNIER] (1)
Educational level of main income earner [EDU_LEV_MAIN_EARN] (1)
Professional status of main income earner [LABPROF_STATUS_C_MAIN_EARNER] (1)
Citizenship of main income earner [CITIZENSHIP_MAIN_EARN] (1)
This dataset has 100 series:
- from
- 2022=26.5
- to
- 2024=7.6
- min:
- 7.6
- max:
- 26.5
- avg:
- 19.567
- σ:
- 8.497
- from
- 2022=4.6
- to
- 2024=4
- min:
- 4
- max:
- 4.6
- avg:
- 4.367
- σ:
- 0.262
- from
- 2022=11.3
- to
- 2024=8.9
- min:
- 8.9
- max:
- 11.3
- avg:
- 10.167
- σ:
- 0.984
- from
- 2022=16.2
- to
- 2024=21.5
- min:
- 13.5
- max:
- 21.5
- avg:
- 17.067
- σ:
- 3.323
- from
- 2022=18.3
- to
- 2024=17.9
- min:
- 16.5
- max:
- 18.3
- avg:
- 17.567
- σ:
- 0.772
- from
- 2022=15.9
- to
- 2024=15.9
- min:
- 14.1
- max:
- 15.9
- avg:
- 15.3
- σ:
- 0.849
- from
- 2022=18.8
- to
- 2024=13.6
- min:
- 13.6
- max:
- 18.8
- avg:
- 16.233
- σ:
- 2.123
- from
- 2022=9.6
- to
- 2024=8.8
- min:
- 8.8
- max:
- 9.6
- avg:
- 9.167
- σ:
- 0.33
- from
- 2022=9.8
- to
- 2024=9.2
- min:
- 8.9
- max:
- 9.8
- avg:
- 9.3
- σ:
- 0.374
Showing results 1 - 10 / 100