[34_​216] Households who can't afford to save or to face unexpected expenses

Retrieved by DBnomics on April 22, 2026 (8:33 AM).

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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
2025=48.6
min:
43.1
max:
71.5
avg:
57.417
σ:
10.113
[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
2025=26.2
min:
26.2
max:
42.6
avg:
34.95
σ:
4.913
[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
2025=46.7
min:
38.7
max:
72.2
avg:
60.741
σ:
10.282
[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
2025=24.1
min:
24.1
max:
42.6
avg:
35.314
σ:
5.404
[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
2025=45.1
min:
38.5
max:
75.2
avg:
61.791
σ:
11.585
[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
2025=24.1
min:
24.1
max:
46
avg:
35.055
σ:
4.961
[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
2025=43.9
min:
40.6
max:
71.2
avg:
55.5
σ:
10.94
[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
2025=22.5
min:
22.5
max:
40.3
avg:
32.833
σ:
5.645
[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
2025=50.1
min:
42.5
max:
70
avg:
56.483
σ:
9.524
[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
2025=30.8
min:
30.8
max:
38.1
avg:
33.983
σ:
2.484