Foi - monthly data from 2011 to 2015 (base 2010) [169_15]
Updated on DBnomics on January 11, 2023 (1:18 PM)
Frequency [FREQ]
COICOP Rev. Istat [COICOP_REV_ISTAT]
Territory [ITTER107]
Measure [MISURA1]
Index type [IND_TYPE]
Dataset has 4,644 series. Add search filters to narrow them.
Series code | 2011-01 | 2011-02 | 2011-03 | 2011-04 | 2011-05 | 2011-06 | 2011-07 | 2011-08 | 2011-09 | 2011-10 | 2011-11 | 2011-12 | 2012-01 | 2012-02 | 2012-03 | 2012-04 | 2012-05 | 2012-06 | 2012-07 | 2012-08 | 2012-09 | 2012-10 | 2012-11 | 2012-12 | 2013-01 | 2013-02 | 2013-03 | 2013-04 | 2013-05 | 2013-06 | 2013-07 | 2013-08 | 2013-09 | 2013-10 | 2013-11 | 2013-12 | 2014-01 | 2014-02 | 2014-03 | 2014-04 | 2014-05 | 2014-06 | 2014-07 | 2014-08 | 2014-09 | 2014-10 | 2014-11 | 2014-12 | 2015-01 | 2015-02 | 2015-03 | 2015-04 | 2015-05 | 2015-06 | 2015-07 | 2015-08 | 2015-09 | 2015-10 | 2015-11 | 2015-12 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M.00.IT.4.11 | 101.2 | 101.5 | 101.9 | 102.4 | 102.5 | 102.6 | 102.9 | 103.3 | 103.2 | 103.8 | 103.9 | 104.2 | 104.6 | 105 | 105.4 | 105.9 | 105.8 | 106 | 106.1 | 106.6 | 106.5 | 106.6 | 106.4 | 106.7 | 106.9 | 106.9 | 107.1 | 107.1 | 107 | 107.3 | 107.3 | 107.7 | 107.4 | 107.3 | 107 | 107.3 | 107.5 | 107.4 | 107.4 | 107.5 | 107.4 | 107.5 | 107.4 | 107.7 | 107.3 | 107.4 | 107.2 | 107.2 | 106.7 | 107.1 | 107.3 | 107.4 | 107.5 | 107.6 | 107.5 | 107.7 | 107.3 | 107.5 | 107.3 | 107.3 |
M.00.IT.6.11 | 0.3 | 0.3 | 0.4 | 0.5 | 0.1 | 0.1 | 0.3 | 0.4 | -0.1 | 0.6 | 0.1 | 0.3 | 0.4 | 0.4 | 0.4 | 0.5 | -0.1 | 0.2 | 0.1 | 0.5 | -0.1 | 0.1 | -0.2 | 0.3 | 0.2 | 0 | 0.2 | 0 | -0.1 | 0.3 | 0 | 0.4 | -0.3 | -0.1 | -0.3 | 0.3 | 0.2 | -0.1 | 0 | 0.1 | -0.1 | 0.1 | -0.1 | 0.3 | -0.4 | 0.1 | -0.2 | 0 | -0.5 | 0.4 | 0.2 | 0.1 | 0.1 | 0.1 | -0.1 | 0.2 | -0.4 | 0.2 | -0.2 | 0 |
M.00.IT.7.11 | 2.1 | 2.3 | 2.5 | 2.6 | 2.6 | 2.7 | 2.7 | 2.9 | 3.1 | 3.4 | 3.4 | 3.3 | 3.4 | 3.4 | 3.4 | 3.4 | 3.2 | 3.3 | 3.1 | 3.2 | 3.2 | 2.7 | 2.4 | 2.4 | 2.2 | 1.8 | 1.6 | 1.1 | 1.1 | 1.2 | 1.1 | 1 | 0.8 | 0.7 | 0.6 | 0.6 | 0.6 | 0.5 | 0.3 | 0.4 | 0.4 | 0.2 | 0.1 | 0 | -0.1 | 0.1 | 0.2 | -0.1 | -0.7 | -0.3 | -0.1 | -0.1 | 0.1 | 0.1 | 0.1 | 0 | 0 | 0.1 | 0.1 | 0.1 |
M.00.ITC11.4.11 | 100.9 | 101.2 | 101.5 | 102.1 | 102.1 | 102.3 | 102.7 | 103.1 | 102.6 | 103 | 103.2 | 103.8 | 104.1 | 104.6 | 105 | 105.5 | 105.4 | 105.6 | 105.6 | 106.3 | 106 | 106 | 105.9 | 106.3 | 106.4 | 106.5 | 106.7 | 106.5 | 106.5 | 106.8 | 106.8 | 107.3 | 106.7 | 106.6 | 106.5 | 106.9 | 107 | 106.9 | 106.9 | 107 | 107.1 | 107.1 | 106.8 | 107 | 106.6 | 106.9 | 106.6 | 106.8 | 106.2 | 106.5 | 106.7 | 106.8 | 107 | 107.2 | 106.8 | 106.9 | 106.4 | 106.7 | 106.7 | 106.7 |
M.00.ITC11.6.11 | 0.2 | 0.3 | 0.3 | 0.6 | 0 | 0.2 | 0.4 | 0.4 | -0.5 | 0.4 | 0.2 | 0.6 | 0.3 | 0.5 | 0.4 | 0.5 | -0.1 | 0.2 | 0 | 0.7 | -0.3 | 0 | -0.1 | 0.4 | 0.1 | 0.1 | 0.2 | -0.2 | 0 | 0.3 | 0 | 0.5 | -0.6 | -0.1 | -0.1 | 0.4 | 0.1 | -0.1 | 0 | 0.1 | 0.1 | 0 | -0.3 | 0.2 | -0.4 | 0.3 | -0.3 | 0.2 | -0.6 | 0.3 | 0.2 | 0.1 | 0.2 | 0.2 | -0.4 | 0.1 | -0.5 | 0.3 | 0 | 0 |
M.00.ITC11.7.11 | 1.9 | 2.1 | 2.1 | 2.2 | 2.2 | 2.4 | 2.3 | 2.5 | 2.3 | 2.6 | 2.8 | 3.1 | 3.2 | 3.4 | 3.4 | 3.3 | 3.2 | 3.2 | 2.8 | 3.1 | 3.3 | 2.9 | 2.6 | 2.4 | 2.2 | 1.8 | 1.6 | 0.9 | 1 | 1.1 | 1.1 | 0.9 | 0.7 | 0.6 | 0.6 | 0.6 | 0.6 | 0.4 | 0.2 | 0.5 | 0.6 | 0.3 | 0 | -0.3 | -0.1 | 0.3 | 0.1 | -0.1 | -0.7 | -0.4 | -0.2 | -0.2 | -0.1 | 0.1 | 0 | -0.1 | -0.2 | -0.2 | 0.1 | -0.1 |
M.00.ITC12.4.11 | 101 | 101.2 | 101.6 | 102.1 | 101.9 | 102.3 | 102.5 | 102.9 | 102.5 | 102.9 | 102.8 | 103.2 | 103.6 | 103.8 | 104 | 104.4 | 104.3 | 104.9 | 104.9 | 105.4 | 105.1 | 105.2 | 105 | 105.4 | 105.5 | 105.6 | 105.7 | 105.6 | 105.4 | 105.7 | 105.9 | 106.4 | 105.7 | 105.6 | 105.6 | 106 | 106.4 | 106.2 | 106.2 | 106.2 | 106.1 | 106.4 | 106.1 | 106.4 | 106.1 | 106.2 | 106 | 106.2 | 105.8 | 106.2 | 106.2 | 106.2 | 106.1 | 106.4 | 106.3 | 106.6 | 106.1 | 106.1 | 105.9 | 106 |
M.00.ITC12.6.11 | 0.2 | 0.2 | 0.4 | 0.5 | -0.2 | 0.4 | 0.2 | 0.4 | -0.4 | 0.4 | -0.1 | 0.4 | 0.4 | 0.2 | 0.2 | 0.4 | -0.1 | 0.6 | 0 | 0.5 | -0.3 | 0.1 | -0.2 | 0.4 | 0.1 | 0.1 | 0.1 | -0.1 | -0.2 | 0.3 | 0.2 | 0.5 | -0.7 | -0.1 | 0 | 0.4 | 0.4 | -0.2 | 0 | 0 | -0.1 | 0.3 | -0.3 | 0.3 | -0.3 | 0.1 | -0.2 | 0.2 | -0.4 | 0.4 | 0 | 0 | -0.1 | 0.3 | -0.1 | 0.3 | -0.5 | 0 | -0.2 | 0.1 |
M.00.ITC12.7.11 | 1.9 | 2 | 2.1 | 2.1 | 2.1 | 2.5 | 2.4 | 2.4 | 2.5 | 2.6 | 2.4 | 2.3 | 2.6 | 2.6 | 2.4 | 2.3 | 2.4 | 2.5 | 2.3 | 2.4 | 2.5 | 2.2 | 2.1 | 2.1 | 1.8 | 1.7 | 1.6 | 1.1 | 1.1 | 0.8 | 1 | 0.9 | 0.6 | 0.4 | 0.6 | 0.6 | 0.9 | 0.6 | 0.5 | 0.6 | 0.7 | 0.7 | 0.2 | 0 | 0.4 | 0.6 | 0.4 | 0.2 | -0.6 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0.2 | 0 | -0.1 | -0.1 | -0.2 |
M.00.ITC13.4.11 | 101.1 | 101.4 | 101.7 | 102.4 | 102.5 | 102.7 | 103.1 | 103.5 | 103.2 | 104 | 104.1 | 104.5 | 104.9 | 105.3 | 106.2 | 106.8 | 106.8 | 107.2 | 107.3 | 107.8 | 107.5 | 107.5 | 107.2 | 107.5 | 107.7 | 107.9 | 108.1 | 107.9 | 107.9 | 108.1 | 108.2 | 108.6 | 108.2 | 107.9 | 107.8 | 108.2 | 108.3 | 108.2 | 108.2 | 108.1 | 108 | 108.3 | 108.1 | 108.4 | 107.9 | 107.9 | 107.7 | 107.8 | 107.2 | 107.7 | 107.8 | 107.7 | 107.8 | 108.2 | 108.1 | 108.3 | 107.7 | 107.8 | 107.5 | 107.5 |
Showing results 1 - 10 / 4,644
Dimension codes and labels
[FREQ] Frequency
- [M] monthly
[COICOP_REV_ISTAT] COICOP Rev. Istat
- [00] all items
- [00ST] all items excluded tobacco
- [01] -- food and non-alcoholic beverages
- [02] -- alcoholic beverages, 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
- [OR1] Product typology
- [OR2] Administered and non-administered products
- [OR3] Purchase frequency
[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
- [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
- [ITE32] Ancona
- [ITE33] Macerata
- [ITE34] Ascoli Piceno
- [ITE41] Viterbo
- [ITE43] Roma
- [ITF11] L'Aquila
- [ITF12] Teramo
- [ITF13] Pescara
- [ITF22] Campobasso
- [ITF31] Caserta
- [ITF32] Benevento
- [ITF33] Napoli
- [ITF34] Avellino
- [ITF35] Salerno
- [ITF42] Bari
- [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
[IND_TYPE] Index type
- [11] consumer price index for blue and white-collar worker households (base 2010=100) - monthly data