Foi - monthly data until 2010 (base 1995) [144_110]
Updated on DBnomics on January 11, 2023 (1:18 PM)
Frequency [FREQ]
Index type [IND_TYPE]
COICOP [COICOP]
Territory [ITTER107]
Measure [MISURA1]
Dataset has 3,892 series. Add search filters to narrow them.
- monthly – consumer price index for blue and white-collar worker households (base 1995=100) - monthly data – all items – Biella (ITC13) – percentage changes on the previous period [ISTAT/144_110/M.4.00.ITC13.6]
- min:
- -0.3
- max:
- 0.7
- avg:
- 0.18
- σ:
- 0.197
- monthly – consumer price index for blue and white-collar worker households (base 1995=100) - monthly data – all items – Biella (ITC13) – percentage changes on the same period of the previous year [ISTAT/144_110/M.4.00.ITC13.7]
- min:
- -0.2
- max:
- 3.3
- avg:
- 1.947
- σ:
- 0.802
- monthly – consumer price index for blue and white-collar worker households (base 1995=100) - monthly data – all items – Verbano-Cusio-Ossola – index number [ISTAT/144_110/M.4.00.ITC14.4]
- min:
- 100.3
- max:
- 109.2
- avg:
- 104.167
- σ:
- 2.662
- monthly – consumer price index for blue and white-collar worker households (base 1995=100) - monthly data – all items – Verbano-Cusio-Ossola – percentage changes on the previous period [ISTAT/144_110/M.4.00.ITC14.6]
- min:
- -0.5
- max:
- 1
- avg:
- 0.14
- σ:
- 0.304
- monthly – consumer price index for blue and white-collar worker households (base 1995=100) - monthly data – all items – Verbano-Cusio-Ossola – percentage changes on the same period of the previous year [ISTAT/144_110/M.4.00.ITC14.7]
- min:
- -0.5
- max:
- 4.1
- avg:
- 1.596
- σ:
- 1.107
- monthly – consumer price index for blue and white-collar worker households (base 1995=100) - monthly data – all items – Novara (ITC15) – index number [ISTAT/144_110/M.4.00.ITC15.4]
- min:
- 102.4
- max:
- 134.8
- avg:
- 118.659
- σ:
- 9.301
- monthly – consumer price index for blue and white-collar worker households (base 1995=100) - monthly data – all items – Novara (ITC15) – percentage changes on the previous period [ISTAT/144_110/M.4.00.ITC15.6]
- min:
- -0.5
- max:
- 0.9
- avg:
- 0.159
- σ:
- 0.202
- monthly – consumer price index for blue and white-collar worker households (base 1995=100) - monthly data – all items – Novara (ITC15) – percentage changes on the same period of the previous year [ISTAT/144_110/M.4.00.ITC15.7]
- min:
- 0.1
- max:
- 3.8
- avg:
- 1.812
- σ:
- 0.637
- monthly – consumer price index for blue and white-collar worker households (base 1995=100) - monthly data – all items – Cuneo (ITC16) – index number [ISTAT/144_110/M.4.00.ITC16.4]
- min:
- 102
- max:
- 141.8
- avg:
- 121.898
- σ:
- 11.628
- monthly – consumer price index for blue and white-collar worker households (base 1995=100) - monthly data – all items – Cuneo (ITC16) – percentage changes on the previous period [ISTAT/144_110/M.4.00.ITC16.6]
- min:
- -0.6
- max:
- 0.7
- avg:
- 0.189
- σ:
- 0.204
Dimension codes and labels
[FREQ] Frequency
- [M] monthly
[IND_TYPE] Index type
- [4] consumer price index for blue and white-collar worker households (base 1995=100) - monthly data
[COICOP] COICOP
- [00] all items
- [00ST] all items (excluding tobacco)
- [01] -- food and non-alcoholic beverages
- [02] -- alcoholic beverages and tobacco
- [03] -- clothing and footwear
- [04] -- housing, water, electricity, gas and other fuels
- [05] -- furnishings, household equipment and routine maintenance of the house
- [06] -- health
- [07] -- transport
- [08] -- communications
- [09] -- recreation and culture
- [10] -- education
- [11] -- restaurants and hotels
- [12] -- miscellaneous goods and services
[ITTER107] Territory
- [IT] Italy
- [ITC11] Torino
- [ITC12] Vercelli
- [ITC13] Biella
- [ITC14] Verbano-Cusio-Ossola
- [ITC15] Novara
- [ITC16] Cuneo
- [ITC17] Asti
- [ITC18] Alessandria
- [ITC20] Valle d'Aosta / Vallée d'Aoste
- [ITC31] Imperia
- [ITC32] Savona
- [ITC33] Genova
- [ITC34] La Spezia
- [ITC41] Varese
- [ITC42] Como
- [ITC43] Lecco
- [ITC44] Sondrio
- [ITC45] Milano
- [ITC46] Bergamo
- [ITC47] Brescia
- [ITC48] Pavia
- [ITC49] Lodi
- [ITC4A] Cremona
- [ITC4B] Mantova
- [ITD10] Bolzano / Bozen
- [ITD20] Trento
- [ITD31] Verona
- [ITD32] Vicenza
- [ITD33] Belluno
- [ITD34] Treviso
- [ITD35] Venezia
- [ITD36] Padova
- [ITD37] Rovigo
- [ITD41] Pordenone
- [ITD42] Udine
- [ITD43] Gorizia
- [ITD44] Trieste
- [ITD51] Piacenza
- [ITD52] Parma
- [ITD53] Reggio nell'Emilia
- [ITD54] Modena
- [ITD55] Bologna
- [ITD56] Ferrara
- [ITD57] Ravenna
- [ITD58] Forlì-Cesena
- [ITD59] Rimini
- [ITE11] Massa-Carrara
- [ITE12] Lucca
- [ITE13] Pistoia
- [ITE14] Firenze
- [ITE16] Livorno
- [ITE17] Pisa
- [ITE18] Arezzo
- [ITE19] Siena
- [ITE1A] Grosseto
- [ITE21] Perugia
- [ITE22] Terni
- [ITE31] Pesaro e Urbino
- [ITE32] Ancona
- [ITE33] Macerata
- [ITE34] Ascoli Piceno
- [ITE41] Viterbo
- [ITE42] Rieti
- [ITE43] Roma
- [ITE44] Latina
- [ITF11] L'Aquila
- [ITF12] Teramo
- [ITF13] Pescara
- [ITF14] Chieti
- [ITF22] Campobasso
- [ITF31] Caserta
- [ITF32] Benevento
- [ITF33] Napoli
- [ITF34] Avellino
- [ITF35] Salerno
- [ITF41] Foggia
- [ITF42] Bari
- [ITF43] Taranto
- [ITF44] Brindisi
- [ITF51] Potenza
- [ITF52] Matera
- [ITF61] Cosenza
- [ITF63] Catanzaro
- [ITF65] Reggio di Calabria
- [ITG11] Trapani
- [ITG12] Palermo
- [ITG13] Messina
- [ITG15] Caltanissetta
- [ITG17] Catania
- [ITG19] Siracusa
- [ITG25] Sassari
- [ITG27] Cagliari
[MISURA1] Measure
- [4] index number
- [6] percentage changes on the previous period
- [7] percentage changes on the same period of the previous year