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

Name: Households who can't afford to save or to face unexpected expenses
Creator: DBnomics

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:

Trim NA Values

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

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