[34_216] Households who can't afford to save or to face unexpected expenses
Retrieved by DBnomics on April 25, 2025 (5:33 AM).
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (36)
Indicator [DATA_TYPE] (2)
Measure [MEASURE] (1)
Household number of components [NUMBER_HOUSEHOLD_COMP] (6)
Household typology [HOUSEHOLD_TYPOLOGY] (10)
Number of children [NUMB_OF_CHILDREN] (5)
Number of elderly [NUMB_OF_ELDERLY] (4)
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] (5)
Professional status of main income earner [LABPROF_STATUS_C_MAIN_EARNER] (6)
This dataset has 146 series:
[A.1.FAM_RISP.10.99.99.9.9.9.9.99.99] annual – metropolitan area – households that can't afford to save (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=63.2
- to
- 2020=43.1
- min:
- 43.1
- max:
- 71.5
- avg:
- 59.18
- σ:
- 10.202
[A.1.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] annual – metropolitan area – households that can't face unexpected expenses (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=32.9
- to
- 2020=34.8
- min:
- 32.9
- max:
- 42.6
- avg:
- 36.7
- σ:
- 3.255
[A.2.FAM_RISP.10.99.99.9.9.9.9.99.99] annual – metropolitan area - centre (2) – households that can't afford to save (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=70
- to
- 2024=38.7
- min:
- 38.7
- max:
- 72.2
- avg:
- 61.41
- σ:
- 10.045
[A.2.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] annual – metropolitan area - centre (2) – households that can't face unexpected expenses (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=26.6
- to
- 2024=27.3
- min:
- 26.6
- max:
- 42.6
- avg:
- 35.848
- σ:
- 4.932
[A.3.FAM_RISP.10.99.99.9.9.9.9.99.99] annual – metropolitan area - suburbs – households that can't afford to save (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=71.8
- to
- 2024=38.5
- min:
- 38.5
- max:
- 75.2
- avg:
- 62.586
- σ:
- 11.256
[A.3.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] annual – metropolitan area - suburbs – households that can't face unexpected expenses (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=32.8
- to
- 2024=28.9
- min:
- 27.6
- max:
- 46
- avg:
- 35.576
- σ:
- 4.449
[A.4.FAM_RISP.10.99.99.9.9.9.9.99.99] annual – big municipality – households that can't afford to save (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=63.2
- to
- 2020=40.6
- min:
- 40.6
- max:
- 71.2
- avg:
- 57.82
- σ:
- 10.552
[A.4.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] annual – big municipality – households that can't face unexpected expenses (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=30.3
- to
- 2020=32.1
- min:
- 30.3
- max:
- 40.3
- avg:
- 34.9
- σ:
- 3.551
[A.5.FAM_RISP.10.99.99.9.9.9.9.99.99] annual – small municipality – households that can't afford to save (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=65.6
- to
- 2020=42.5
- min:
- 42.5
- max:
- 70
- avg:
- 57.76
- σ:
- 9.954
[A.5.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] annual – small municipality – households that can't face unexpected expenses (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=31.6
- to
- 2020=33
- min:
- 31.6
- max:
- 38.1
- avg:
- 34.62
- σ:
- 2.229
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (36)
Indicator [DATA_TYPE] (2)
Measure [MEASURE] (1)
Household number of components [NUMBER_HOUSEHOLD_COMP] (6)
Household typology [HOUSEHOLD_TYPOLOGY] (10)
Number of children [NUMB_OF_CHILDREN] (5)
Number of elderly [NUMB_OF_ELDERLY] (4)
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] (5)
Professional status of main income earner [LABPROF_STATUS_C_MAIN_EARNER] (6)
This dataset has 146 series:
[A.1.FAM_RISP.10.99.99.9.9.9.9.99.99] annual – metropolitan area – households that can't afford to save (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=63.2
- to
- 2020=43.1
- min:
- 43.1
- max:
- 71.5
- avg:
- 59.18
- σ:
- 10.202
[A.1.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] annual – metropolitan area – households that can't face unexpected expenses (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=32.9
- to
- 2020=34.8
- min:
- 32.9
- max:
- 42.6
- avg:
- 36.7
- σ:
- 3.255
[A.2.FAM_RISP.10.99.99.9.9.9.9.99.99] annual – metropolitan area - centre (2) – households that can't afford to save (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=70
- to
- 2024=38.7
- min:
- 38.7
- max:
- 72.2
- avg:
- 61.41
- σ:
- 10.045
[A.2.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] annual – metropolitan area - centre (2) – households that can't face unexpected expenses (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=26.6
- to
- 2024=27.3
- min:
- 26.6
- max:
- 42.6
- avg:
- 35.848
- σ:
- 4.932
[A.3.FAM_RISP.10.99.99.9.9.9.9.99.99] annual – metropolitan area - suburbs – households that can't afford to save (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=71.8
- to
- 2024=38.5
- min:
- 38.5
- max:
- 75.2
- avg:
- 62.586
- σ:
- 11.256
[A.3.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] annual – metropolitan area - suburbs – households that can't face unexpected expenses (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2004=32.8
- to
- 2024=28.9
- min:
- 27.6
- max:
- 46
- avg:
- 35.576
- σ:
- 4.449
[A.4.FAM_RISP.10.99.99.9.9.9.9.99.99] annual – big municipality – households that can't afford to save (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=63.2
- to
- 2020=40.6
- min:
- 40.6
- max:
- 71.2
- avg:
- 57.82
- σ:
- 10.552
[A.4.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] annual – big municipality – households that can't face unexpected expenses (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=30.3
- to
- 2020=32.1
- min:
- 30.3
- max:
- 40.3
- avg:
- 34.9
- σ:
- 3.551
[A.5.FAM_RISP.10.99.99.9.9.9.9.99.99] annual – small municipality – households that can't afford to save (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=65.6
- to
- 2020=42.5
- min:
- 42.5
- max:
- 70
- avg:
- 57.76
- σ:
- 9.954
[A.5.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] annual – small municipality – households that can't face unexpected expenses (percent of households) – per hundred values – total – total – total – total – total (9) – total – total (99) – total
- from
- 2008=31.6
- to
- 2020=33
- min:
- 31.6
- max:
- 38.1
- avg:
- 34.62
- σ:
- 2.229