Households who do not afford to buy selected items [34_280]
Updated on DBnomics on July 21, 2023 (8:11 AM)
Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Measure [MEASURE]
Expenditures [COICOP_LIST]
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 156 series. Add search filters to narrow them.
- annual – metropolitan area – households who do not afford to buy selected items (percent of household) – per hundred values – eat meat or fish every two days – total – total – total – total – total (9) – total – total (99) – total [ISTAT/34_280/A.1.FAM_NO_PERMETTERSI.10.1.99.99.9.9.9.TOTAL.99.99]
- min:
- 8.1
- max:
- 13.8
- avg:
- 10.9
- σ:
- 2.189
- annual – metropolitan area – households who do not afford to buy selected items (percent of household) – per hundred values – heat the house adequately – total – total – total – total – total (9) – total – total (99) – total [ISTAT/34_280/A.1.FAM_NO_PERMETTERSI.10.2.99.99.9.9.9.TOTAL.99.99]
- min:
- 7.7
- max:
- 15.8
- avg:
- 12.86
- σ:
- 2.984
- annual – metropolitan area – households who do not afford to buy selected items (percent of household) – per hundred values – a week of vacation in a year – total – total – total – total – total (9) – total – total (99) – total [ISTAT/34_280/A.1.FAM_NO_PERMETTERSI.10.3.99.99.9.9.9.TOTAL.99.99]
- min:
- 32.7
- max:
- 45
- avg:
- 39.4
- σ:
- 5.406
- annual – metropolitan area - centre (2) – households who do not afford to buy selected items (percent of household) – per hundred values – eat meat or fish every two days – total – total – total – total – total (9) – total – total (99) – total [ISTAT/34_280/A.2.FAM_NO_PERMETTERSI.10.1.99.99.9.9.9.TOTAL.99.99]
- min:
- 5.1
- max:
- 16.8
- avg:
- 10.311
- σ:
- 3.126
- annual – metropolitan area - centre (2) – households who do not afford to buy selected items (percent of household) – per hundred values – heat the house adequately – total – total – total – total – total (9) – total – total (99) – total [ISTAT/34_280/A.2.FAM_NO_PERMETTERSI.10.2.99.99.9.9.9.TOTAL.99.99]
- min:
- 7.7
- max:
- 17.6
- avg:
- 12.868
- σ:
- 2.819
- annual – metropolitan area - centre (2) – households who do not afford to buy selected items (percent of household) – per hundred values – a week of vacation in a year – total – total – total – total – total (9) – total – total (99) – total [ISTAT/34_280/A.2.FAM_NO_PERMETTERSI.10.3.99.99.9.9.9.TOTAL.99.99]
- min:
- 32.1
- max:
- 45
- avg:
- 38.274
- σ:
- 4.607
- annual – metropolitan area - suburbs – households who do not afford to buy selected items (percent of household) – per hundred values – eat meat or fish every two days – total – total – total – total – total (9) – total – total (99) – total [ISTAT/34_280/A.3.FAM_NO_PERMETTERSI.10.1.99.99.9.9.9.TOTAL.99.99]
- min:
- 4.9
- max:
- 17.4
- avg:
- 10.342
- σ:
- 3.096
- annual – metropolitan area - suburbs – households who do not afford to buy selected items (percent of household) – per hundred values – heat the house adequately – total – total – total – total – total (9) – total – total (99) – total [ISTAT/34_280/A.3.FAM_NO_PERMETTERSI.10.2.99.99.9.9.9.TOTAL.99.99]
- min:
- 8.9
- max:
- 20.1
- avg:
- 13.316
- σ:
- 3.053
- annual – metropolitan area - suburbs – households who do not afford to buy selected items (percent of household) – per hundred values – a week of vacation in a year – total – total – total – total – total (9) – total – total (99) – total [ISTAT/34_280/A.3.FAM_NO_PERMETTERSI.10.3.99.99.9.9.9.TOTAL.99.99]
- min:
- 35.6
- max:
- 48.5
- avg:
- 40.926
- σ:
- 2.917
- annual – big municipality – households who do not afford to buy selected items (percent of household) – per hundred values – eat meat or fish every two days – total – total – total – total – total (9) – total – total (99) – total [ISTAT/34_280/A.4.FAM_NO_PERMETTERSI.10.1.99.99.9.9.9.TOTAL.99.99]
- min:
- 7.1
- max:
- 12.2
- avg:
- 8.7
- σ:
- 1.861
Showing results 1 - 10 / 156
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
- [ITD] Nord-est
- [ITE] Centro (I)
- [ITF] Sud
- [ITG] Isole
[DATA_TYPE] Indicator
- [FAM_NO_PERMETTERSI] households who do not afford to buy selected items (percent of household)
[MEASURE] Measure
- [10] per hundred values
[COICOP_LIST] Expenditures
- [1] eat meat or fish every two days
- [2] heat the house adequately
- [3] a week of vacation in a year
[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
- [TOTAL] total
- [Y35-44] 35-44 years
- [Y45-54] 45-54 years
- [Y55-64] 55-64 years
- [Y_GE65] 65 years and over
- [Y_UN35] until 35 years
[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