Type of expenditure [31_124_DF_DCCV_SPEMMFAM_1]
Updated on DBnomics on January 14, 2023 (12:39 AM)
Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Measure [MEASURE]
Expenditure category [COICOP_CATEG]
Household number of components [NUMBER_HOUSEHOLD_COMP]
Household typology [HOUSEHOLD_TYPOLOGY]
Professional condition [LABPROF_STATUS_B]
Dataset has 576 series. Add search filters to narrow them.
- annual – Italy – household average monthly expenditure (in current euros) – average values – cold cuts – total – total – total [ISTAT/31_124_DF_DCCV_SPEMMFAM_1/A.IT.SPESA_MEDIA.15.1_2_4.99.99.99]
- min:
- 21.75
- max:
- 40,872
- avg:
- 9,450.518
- σ:
- 16,996.877
- annual – Italy – household average monthly expenditure (in current euros) – average values – fish – total – total – total [ISTAT/31_124_DF_DCCV_SPEMMFAM_1/A.IT.SPESA_MEDIA.15.1_3.99.99.99]
- min:
- 35.56
- max:
- 65,547
- avg:
- 14,627.668
- σ:
- 26,322.255
- annual – Italy – household average monthly expenditure (in current euros) – average values – milk, cheese and eggs – total – total – total [ISTAT/31_124_DF_DCCV_SPEMMFAM_1/A.IT.SPESA_MEDIA.15.1_4.99.99.99]
- min:
- 56.75
- max:
- 110,373
- avg:
- 25,630.174
- σ:
- 46,096.556
- annual – Italy – household average monthly expenditure (in current euros) – average values – milk – total – total – total [ISTAT/31_124_DF_DCCV_SPEMMFAM_1/A.IT.SPESA_MEDIA.15.1_4_1.99.99.99]
- min:
- 16.39
- max:
- 31,302
- avg:
- 7,328.217
- σ:
- 13,179.167
- annual – Italy – household average monthly expenditure (in current euros) – average values – cheese – total – total – total [ISTAT/31_124_DF_DCCV_SPEMMFAM_1/A.IT.SPESA_MEDIA.15.1_4_2.99.99.99]
- min:
- 26.54
- max:
- 55,312
- avg:
- 12,732.587
- σ:
- 22,909.069
- annual – Italy – household average monthly expenditure (in current euros) – average values – eggs – total – total – total [ISTAT/31_124_DF_DCCV_SPEMMFAM_1/A.IT.SPESA_MEDIA.15.1_4_3.99.99.99]
- min:
- 4.54
- max:
- 9,016
- avg:
- 2,072.181
- σ:
- 3,727.589
- annual – Italy – household average monthly expenditure (in current euros) – average values – oils and fats – total – total – total [ISTAT/31_124_DF_DCCV_SPEMMFAM_1/A.IT.SPESA_MEDIA.15.1_5.99.99.99]
- min:
- 15.4
- max:
- 37,561
- avg:
- 8,039.551
- σ:
- 14,508.879
- annual – Italy – household average monthly expenditure (in current euros) – average values – olive oil – total – total – total [ISTAT/31_124_DF_DCCV_SPEMMFAM_1/A.IT.SPESA_MEDIA.15.1_5_1.99.99.99]
- min:
- 10.78
- max:
- 27,672
- avg:
- 5,827.469
- σ:
- 10,530.593
- annual – Italy – household average monthly expenditure (in current euros) – average values – potatoes, fruit and vegetables – total – total – total [ISTAT/31_124_DF_DCCV_SPEMMFAM_1/A.IT.SPESA_MEDIA.15.1_6.99.99.99]
- min:
- 72.36
- max:
- 135,697
- avg:
- 31,492.5
- σ:
- 56,633.155
- annual – Italy – household average monthly expenditure (in current euros) – average values – fruit – total – total – total [ISTAT/31_124_DF_DCCV_SPEMMFAM_1/A.IT.SPESA_MEDIA.15.1_6_1.99.99.99]
- min:
- 36.57
- max:
- 69,596
- avg:
- 16,049.246
- σ:
- 28,865.822
Dimension codes and labels
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [IT] Italy
- [ITC] Nord-ovest
- [ITD] Nord-est
- [ITE] Centro (I)
- [ITF] Sud
- [ITG] Isole
[DATA_TYPE] Indicator
- [SPESA_MEDIA] household average monthly expenditure (in current euros)
[MEASURE] Measure
- [15] average values
[COICOP_CATEG] Expenditure category
- [1] food and beverages
- [1_1] bread and cereals
- [1_1_1] bread, breadsticks and crackers
- [1_1_2] biscuits
- [1_1_3] pasta and rice
- [1_1_4] pastry and sweets
- [1_2] meat
- [1_2_1] bovine meat
- [1_2_2] swine meat
- [1_2_3] poultry, rabbit and game
- [1_2_4] cold cuts
- [1_3] fish
- [1_4] milk, cheese and eggs
- [1_4_1] milk
- [1_4_2] cheese
- [1_4_3] eggs
- [1_5] oils and fats
- [1_5_1] olive oil
- [1_6] potatoes, fruit and vegetables
- [1_6_1] fruit
- [1_7] sugar, coffee and grocery
- [1_7_1] sugar
- [1_7_2] coffee, the and cocoa
- [1_7_3] ice cream
- [1_8] beverages
- [1_8_1] wine
- [1_8_2] beer
- [1_8_3] mineral water
- [2] non food
- [2_1] tobaccos
- [2_10] recreational and cultural services
- [2_10_1] games and toys
- [2_10_10] pets
- [2_10_11] plants and flowers
- [2_10_12] repairs of radio, tv, computer, etc.
- [2_10_2] radio, television, hi-fi and video recorder
- [2_10_3] computer, typewriters and calculators
- [2_10_4] books
- [2_10_5] newspapers and periodicals
- [2_10_6] disc, tape and videotape
- [2_10_7] stationery and drawing materials
- [2_10_8] tv and internet subscription
- [2_10_9] games of chance
- [2_11] other goods and services
- [2_11_1] personal care products
- [2_11_2] hairdressing salons and beauty centres
- [2_11_3] jewellery, clocks and watches
- [2_11_4] travel goods and other carriers
- [2_11_5] life and health insurance
- [2_11_6] professional fees
- [2_11_7] accommodation services
- [2_11_8] catering services
- [2_2] clothing and footwear
- [2_2_1] clothing
- [2_2_2] footwear
- [2_2_3] repair of clothing and footwear
- [2_3] housing (main and secondary)
- [2_3_1] rent
- [2_3_2] imputed rent
- [2_3_3] water and condominium expenditures
- [2_3_4] ordinary maintenance
- [2_3_5] extraordinary maintenance
- [2_4] fuel and energy
- [2_4_1] electricity
- [2_4_2] gas
- [2_4_3] centralised heating
- [2_5] furnishings, household equipment and services
- [2_5_1] major appliances
- [2_5_10] repair of furnishings and household equipment
- [2_5_2] furniture
- [2_5_3] furnishing articles
- [2_5_4] household textiles
- [2_5_5] cleaning products
- [2_5_6] cutlery, dishes and other household utensils
- [2_5_7] paper napkins and dishes, aluminium containers
- [2_5_8] laundry
- [2_5_9] domestic services
- [2_6] health
- [2_6_1] medicines
- [2_6_2] medical services
- [2_7] transport
- [2_7_1] car
- [2_7_2] motor and scooter
- [2_7_3] vehicles insurance
- [2_7_4] spare parts, oils and lubricants
- [2_7_5] fuels
- [2_7_6] maintenance and repairs
- [2_7_7] tram, bus and taxi
- [2_7_8] other transports
- [2_8] communication
- [2_8_1] telephone services
- [2_8_2] telephone equipments
- [2_9] education
- [2_9_1] school books
- [2_9_2] tuition, school fees and similar
- [999999] average monthly expenditure
[NUMBER_HOUSEHOLD_COMP] Household number of components
- [99] total
[HOUSEHOLD_TYPOLOGY] Household typology
- [99] total
[LABPROF_STATUS_B] Professional condition
- [99] total