[34_219] Households who do not have enough money for selected items

Name: Households who do not have enough money for selected items
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
[ITD] Nord-est
[ITE] Centro (I)
[ITF] Sud
[ITG] Isole

[DATA_TYPE] Indicator

[FAM_NO_SOLDI] households who do not have enough money for selected items (percent of households)

[MEASURE] Measure

[10] per hundred values

[COICOP_LIST] Expenditures

[1] food
[2] health care, medicines
[3] necessary clothes
[4] school
[5] transportation
[6] taxes

[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

[HOUSEHOLD_MINOR_COMP] Household with minor children

[1] 1 minor child
[2] 2 minor child
[3] 3 minor child and over
[5] no minor child
[9] total

[HOUSEHOLD_ELDERLY_COMP] Household with elderly components

[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] (15)

Indicator [DATA_TYPE] (1)

Measure [MEASURE] (1)

Expenditures [COICOP_LIST] (6)

Household number of components [NUMBER_HOUSEHOLD_COMP] (6)

Household typology [HOUSEHOLD_TYPOLOGY] (10)

Household with minor children [HOUSEHOLD_MINOR_COMP] (5)

Household with elderly components [HOUSEHOLD_ELDERLY_COMP] (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 312 series:

Trim NA Values

Series code	2008	2017	2018	2019	2020
[A.4.FAM_NO_SOLDI.10.3.99.99.9.9.9.9.99.99]	16.5	5.2	6.3	6.8	6.4
[A.4.FAM_NO_SOLDI.10.4.99.99.9.9.9.9.99.99]	3.6	1.1	1.7	1.1	1.4
[A.4.FAM_NO_SOLDI.10.5.99.99.9.9.9.9.99.99]	8	3	3.4	3.1	2.9
[A.4.FAM_NO_SOLDI.10.6.99.99.9.9.9.9.99.99]	12.8	4.3	5.2	6.2	4.5
[A.5.FAM_NO_SOLDI.10.1.99.99.9.9.9.9.99.99]	5.6	3.7	2.6	3.2	4.1
[A.5.FAM_NO_SOLDI.10.2.99.99.9.9.9.9.99.99]	11.3	6	5.6	5.5	4.5
[A.5.FAM_NO_SOLDI.10.3.99.99.9.9.9.9.99.99]	17.8	7.1	5.9	6.3	7
[A.5.FAM_NO_SOLDI.10.4.99.99.9.9.9.9.99.99]	4.3	1.7	1.4	1.3	1.4
[A.5.FAM_NO_SOLDI.10.5.99.99.9.9.9.9.99.99]	8	4.1	3.2	2.8	2.2
[A.5.FAM_NO_SOLDI.10.6.99.99.9.9.9.9.99.99]	12.6	5.9	4.9	6	4.5

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