[34_216] Households who can't afford to save or to face unexpected expenses
Updated on DBnomics on July 21, 2023 (8:11 AM).
[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
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:
Series code | 2008 | 2017 | 2018 | 2019 | 2020 | 2004 | 2005 | 2006 | 2007 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.1.FAM_RISP.10.99.99.9.9.9.9.99.99] | 63.2 | 71.5 | 65.9 | 52.2 | 43.1 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
[A.1.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] | 32.9 | 42.6 | 36.8 | 36.4 | 34.8 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
[A.2.FAM_RISP.10.99.99.9.9.9.9.99.99] | 70.5 | 71.5 | 65.9 | 52.2 | 43.1 | 70 | 67 | 64.9 | 65.9 | 63.5 | 63.4 | 63.5 | 67.4 | 66.2 | 68.4 | 70.5 | 72.2 | 49.6 | 46.9 |
[A.2.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] | 39.1 | 42.6 | 36.8 | 36.4 | 34.8 | 26.6 | 28.9 | 28.6 | 34.9 | 34.9 | 33.4 | 39.8 | 42.3 | 42.6 | 40.3 | 40.2 | 41.2 | 34.4 | 35.4 |
[A.3.FAM_RISP.10.99.99.9.9.9.9.99.99] | 62 | 70.4 | 63.4 | 49.5 | 43.3 | 71.8 | 71.6 | 70.2 | 70.9 | 67.1 | 68.7 | 64.5 | 73.4 | 71.4 | 71.7 | 75.2 | 67.4 | 47.5 | 47 |
[A.3.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] | 27.8 | 38.4 | 36.5 | 34.9 | 36.8 | 32.8 | 33.1 | 33.5 | 37.7 | 36.4 | 37.8 | 40.3 | 46 | 36.4 | 33.8 | 38.5 | 42.8 | 35 | 32.1 |
[A.4.FAM_RISP.10.99.99.9.9.9.9.99.99] | 63.2 | 71.2 | 62.1 | 52 | 40.6 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
[A.4.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] | 30.3 | 40.3 | 37.1 | 34.7 | 32.1 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
[A.5.FAM_RISP.10.99.99.9.9.9.9.99.99] | 65.6 | 70 | 59.8 | 50.9 | 42.5 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
[A.5.FAM_SPESE_IMPR.10.99.99.9.9.9.9.99.99] | 31.6 | 38.1 | 35.6 | 34.8 | 33 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
Loading chart
Showing results 1 - 10 / 146