Foi - monthly data from 2016 (base 2015) [169_745]

Updated on DBnomics on March 16, 2024 (5:22 AM)

Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Measure [MEASURE]
ECOICOP Rev. Istat [E_COICOP_REV_ISTAT]

Dataset has 4,764 series. Add search filters to narrow them.

Series code 2016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-012024-022024-03
M.IT.55.4.09 100.8 100.8 100.5 100.3 100 100 101.2 101.5 100.2 100.2 99.9 101 100.3 100.6 100.7 100.4 100.3 100.1 101.4 102.2 100.5 100.4 100.2 101.3 101.6 101.8 101.3 101.1 100.6 100.7 101.6 102.5 100.6 100.2 99.5 101 101.2 101.4 101 100.8 100.4 100.4 101.3 102.3 100.4 99.6 99.6 100.9 99.9 99.7 100.6 100.5 100 100.9 101.3 101.5 100.1 100 99.8 101.8 101.3 101.5 101.8 101.7 100 100.1 100.5 100.9 100.2 99.9 99.8 101.6 102.1 102.3 101.7 100.3 100.3 100.4 101.2 102.5 101.5 101.6 101.8 105.1 105.6 105.9 106 105.8 105.4 105.5 105.6 106.1 105.7 105.3 104.5 106.3 106.4 106.7 106.4
M.IT.55.4.10 100.9 100.9 100.9 100.9 100.9 100.9 100.9 100.9 101.3 100.2 100.2 100.2 100.3 100.3 100.3 100.3 100.3 100.3 100.3 100.3 100.8 86.7 86.7 86.7 86.7 86.7 86.7 86.7 86.7 86.7 86.7 86.7 87.4 86.9 86.9 86.9 86.9 86.9 87 87 87 86.9 86.9 86.9 87.5 87.9 88 88 88 88 88 88 88 88 88 88 88.6 85.8 85.8 85.8 85.8 85.8 85.8 85.8 85.8 85.8 85.8 85.8 86.1 85.5 85.7 85.7 85.7 85.7 85.7 85.7 85.7 85.7 85.7 85.7 86.5 86.5 86.5 86.5 86.5 86.5 86.5 86.5 86.6 86.6 86.6 86.6 87.7 88.2 88.3 88.3 88.3 88.3 88.3
M.IT.55.4.11 99.8 99.9 100.2 100.9 101.2 101.3 101.4 101.4 101.7 101.6 100.9 100.8 100.9 101.1 101.3 102.4 102.8 103 103.3 103.3 103.4 103 102 101.9 102 102.2 102.8 103.9 104.5 104.5 105 104.9 105.1 104.5 103.3 103.1 103.2 103.3 103.8 105.4 105.6 106 106.2 106.1 106.6 105.9 104.6 104.4 104.6 104.8 104.8 106.5 106.7 106.2 106.5 106.7 106.5 106.3 105.5 105.3 105.9 106 106 107.6 107.4 108 108.6 108.9 109.2 109 108.3 108.6 109.9 109.9 110.5 111.7 113.4 114.9 115.1 115.8 117.3 116.9 116.6 117.1 117.8 118.4 118.9 120.2 121.2 122.2 122.7 122.5 123.4 123 122 122 122.3 122.8 123.3
M.IT.55.4.12 100 100 100.1 100.2 100.2 100.2 100.4 100.4 100.5 100.7 100.8 100.9 100.9 101.1 101.2 101.3 101.1 101.2 101.2 101.3 101.4 101.4 101.4 101.4 102.5 102.6 102.9 103.2 103.4 103.5 103.7 103.7 103.7 103.8 103.9 103.9 104.2 104.2 104.6 105.2 104.9 105.1 105.2 105.4 105.5 105.5 105.8 105.7 106 106.1 106.7 106.7 106.7 107 107 107.3 107.3 107.6 107.8 107.7 108 108.1 107.9 108.1 108 108.1 108.1 108.1 108.1 108.1 108.3 108.4 108.6 108.8 109.1 109.5 109.6 109.8 110.5 110.7 111 111.4 111.9 112.3 112.7 113 113.2 114.1 114.3 114.5 114.9 115 115.3 115.5 115.6 115.8 116.3 116.5 116.9
M.IT.55.4.OR0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
M.IT.55.4.OR1 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
M.IT.55.4.OR2 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
M.IT.55.4.OR3 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
M.IT.55.6.00 -0.2 -0.2 0.2 -0.1 0.2 0.2 0.1 0.2 -0.2 0 -0.1 0.4 0.2 0.4 0 0.3 -0.2 -0.1 0.1 0.3 -0.3 -0.1 -0.1 0.3 0.3 0 0.3 0 0.3 0.2 0.3 0.4 -0.5 0 -0.2 -0.1 0.1 0.1 0.3 0 0.1 0.1 0 0.4 -0.6 -0.1 -0.1 0.1 0.2 -0.1 0.1 -0.1 -0.2 0.1 -0.1 0.2 -0.6 0.2 -0.1 0.3 0.6 0.1 0.4 0.3 0 0.1 0.4 0.4 -0.1 0.6 0.6 0.5 1.3 1 0.9 -0.1 0.7 1.2 0.4 0.8 0.3 3.2 0.5 0.3 0.1 0.2 -0.3 0.3 0.2 0 0.1 0.3 0.2 -0.1 -0.4 0.2 0.3 0.1 0
M.IT.55.6.00ST -0.2 -0.2 0.1 0 0.1 0.2 0.1 0.2 -0.2 0 0 0.3 0.3 0.4 0 0.3 -0.2 -0.1 0 0.4 -0.3 -0.2 -0.1 0.3 0.4 0 0.2 0 0.3 0.2 0.3 0.4 -0.5 0 -0.2 -0.1 0.1 0.1 0.2 0.1 0.1 0 0 0.5 -0.7 -0.1 -0.1 0.2 0.2 -0.2 0.1 -0.1 -0.2 0.1 -0.1 0.2 -0.6 0.1 0 0.3 0.6 0.1 0.3 0.4 -0.1 0.2 0.4 0.5 -0.2 0.6 0.6 0.5 1.4 1 1 -0.2 0.8 1.2 0.4 0.8 0.3 3.3 0.6 0.3 0.1 0.2 -0.4 0.3 0.2 0 0.1 0.3 0.2 -0.1 -0.4 0.2 0.3 0 0.1
Dimension codes and labels
[FREQ] Frequency
  • [M] monthly
[REF_AREA] 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
  • [ITD1] Provincia Autonoma Bolzano / Bozen
  • [ITD10] Bolzano / Bozen
  • [ITD2] Provincia Autonoma Trento
  • [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
  • [ITF21] Isernia
  • [ITF22] Campobasso
  • [ITF31] Caserta
  • [ITF32] Benevento
  • [ITF33] Napoli
  • [ITF34] Avellino
  • [ITF35] Salerno
  • [ITF42] Bari
  • [ITF43] Taranto
  • [ITF44] Brindisi
  • [ITF45] Lecce
  • [ITF51] Potenza
  • [ITF52] Matera
  • [ITF61] Cosenza
  • [ITF62] Crotone
  • [ITF63] Catanzaro
  • [ITF65] Reggio di Calabria
  • [ITG11] Trapani
  • [ITG12] Palermo
  • [ITG13] Messina
  • [ITG14] Agrigento
  • [ITG15] Caltanissetta
  • [ITG16] Enna
  • [ITG17] Catania
  • [ITG19] Siracusa
  • [ITG2] Sardegna
  • [ITG25] Sassari
  • [ITG26] Nuoro
  • [ITG27] Cagliari
  • [ITG28] Oristano
  • [ITG29] Olbia-Tempio
[DATA_TYPE] Indicator
  • [55] consumer price index for blue and white-collar worker households (base 2015=100) - monthly data
[MEASURE] Measure
  • [4] index number
  • [6] percentage changes on the previous period
  • [7] percentage changes on the same period of the previous year
[E_COICOP_REV_ISTAT] ECOICOP Rev. Istat
  • [00] all items
  • [00ST] all items excluded 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 household maintenance
  • [06] -- health
  • [07] -- transport
  • [08] -- communication
  • [09] -- recreation and culture
  • [10] -- education
  • [11] -- restaurants and hotels
  • [12] -- miscellaneous goods and services
  • [OR0] COICOP_2015
  • [OR1] Product typology
  • [OR2] Administered and non-administered products
  • [OR3] Purchase frequency
Technical links