Households who can't afford to save or to face unexpected expenses [34_216]

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

Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Measure [MEASURE]
Household number of components [NUMBER_HOUSEHOLD_COMP]
Household typology [HOUSEHOLD_TYPOLOGY]
Number of children [NUMB_OF_CHILDREN]
Number of elderly [NUMB_OF_ELDERLY]
Sex of main income earner [SEX_MAIN_PERCEPTOR]
Age of main income earner [AGE_MAIN_EARNIER]
Educational level of main income earner [EDU_LEV_MAIN_EARN]
Professional status of main income earner [LABPROF_STATUS_C_MAIN_EARNER]

Dataset has 146 series. Add search filters to narrow them.

Series code 2004200520062007200820092010201120122013201420152016201720182019202020212022
A.6.FAM_RISP.10.99.99.9.9.9.9.99.99 62.5 63.1 63.1 63.1 69.1 61.2 63.1 57.9 72.4 69.3 73.3 72.7 70.4 72.9 65.9 50.2 35.1 43.2 47.3
A.6.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99 22.5 24.8 25.1 28.6 33.8 29 28.5 37 39.7 38.6 39.4 39 42.2 40.5 39.3 34.8 32.1 33.3 34.1
A.7.FAM_RISP.10.99.99.9.9.9.9.99.99 65.6 67.4 64.1 63.3 63.4 61.9 63.1 65.4 70.9 71.3 71.9 70.1 69.6 71.2 62.1 52 40.6 44.1 42.6
A.7.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99 24.7 27.8 26.6 30.8 30.1 31.4 32.9 36.7 42.7 40.7 36.5 36.6 40.5 40.3 37.1 34.7 32.1 32.9 32.5
A.8.FAM_RISP.10.99.99.9.9.9.9.99.99 68.5 68.3 67.6 66.6 65.6 66.9 67 68.1 71.8 71.3 71.8 71.9 70 70 59.8 50.9 42.5 47.5 46.8
A.8.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99 30 30.4 29.9 33.7 31.7 34.4 35.2 42.5 43.2 41 41.1 43.1 42.9 38.1 35.6 34.8 33 33.3 36.4
A.9.FAM_RISP.10.99.99.9.9.9.9.99.99 69.2 68.8 67.5 68.6 69.2 68.9 66.9 66.2 68.8 70.8 73.1 71.3 68.4 66.4 58.9 46.5 39.4 46.9 46.2
A.9.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99 26.3 27.6 27.2 33.2 33.6 35.5 35 39.5 40.5 40.8 39.5 41.5 42.2 38.3 35 33.2 33.2 33 34.8
A.IT.FAM_RISP.10.1.99.9.9.9.9.99.99 70 69.2 67.9 68.6 68.1 66.3 65.8 67.4 71.2 70.5 71.4 72 72.1 71.5 63.9 50.8 46.2 50.8 50
A.IT.FAM_RISP.10.2.99.9.9.9.9.99.99 65.3 65.8 63.2 63 62.6 61.3 61.2 61 67.3 68.1 69.4 69.3 68.9 69.5 59.4 49.3 38.4 43.5 44.3
Dimension codes and labels
[FREQ] Frequency
  • [A] annual
[REF_AREA] Territory
  • [1] metropolitan area
  • [2] metropolitan area - centre
  • [3] metropolitan area - suburbs
  • [4] big municipality
  • [5] small municipality
  • [6] until 2,000 inhab.
  • [7] 2,001 - 10,000 inhab.
  • [8] 10,001 - 50,000 inhab.
  • [9] 50,001 inhab. and over
  • [IT] Italy
  • [ITC] Nord-ovest
  • [ITC1] Piemonte
  • [ITC2] Valle d'Aosta / Vallée d'Aoste
  • [ITC3] Liguria
  • [ITC4] Lombardia
  • [ITD] Nord-est
  • [ITD1] Provincia Autonoma Bolzano / Bozen
  • [ITD2] Provincia Autonoma Trento
  • [ITD3] Veneto
  • [ITD4] Friuli-Venezia Giulia
  • [ITD5] Emilia-Romagna
  • [ITE] Centro (I)
  • [ITE1] Toscana
  • [ITE2] Umbria
  • [ITE3] Marche
  • [ITE4] Lazio
  • [ITF] Sud
  • [ITF1] Abruzzo
  • [ITF2] Molise
  • [ITF3] Campania
  • [ITF4] Puglia
  • [ITF5] Basilicata
  • [ITF6] Calabria
  • [ITG] Isole
  • [ITG1] Sicilia
  • [ITG2] Sardegna
[DATA_TYPE] Indicator
  • [FAM_RISP] households that can't afford to save (percent of households)
  • [FAM_SPESE_IMPR] households that can't face unexpected expenses (percent of households)
[MEASURE] Measure
  • [10] per hundred values
[NUMBER_HOUSEHOLD_COMP] Household number of components
  • [1] one
  • [2] two
  • [3] three
  • [4] four
  • [7] five or more
  • [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
  • [1] 1 minor child
  • [2] 2 minor child
  • [3] 3 minor child and over
  • [5] no minor child
  • [9] total
[NUMB_OF_ELDERLY] Number of elderly
  • [1] 1 elderly
  • [2] 2 elderly or more
  • [4] no elderly
  • [9] total
[SEX_MAIN_PERCEPTOR] Sex of main income earner
  • [1] males
  • [2] females
  • [9] total
[AGE_MAIN_EARNIER] Age of main income earner
  • [1] until 35 years
  • [2] 35-44 years
  • [3] 45-54 years
  • [4] 55-64 years
  • [5] 65 years and over
  • [9] total
[EDU_LEV_MAIN_EARN] Educational level of main income earner
  • [11] tertiary (university, doctoral and specialization courses)
  • [3] primary school certificate, no educational degree
  • [4] lower secondary school certificate
  • [7] upper and post secondary
  • [99] total
[LABPROF_STATUS_C_MAIN_EARNER] Professional status of main income earner
  • [1A] self employed
  • [1B] employee
  • [2A] retired
  • [2B] seeking for job
  • [2C] other condition
  • [99] total
Technical links