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

Name: Foi - monthly data from 2016 (base 2015)
Creator: DBnomics

Updated on DBnomics on May 17, 2024 (4:10 AM).

[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

Search filters

Frequency [FREQ] (1)

Territory [REF_AREA] (103)

Indicator [DATA_TYPE] (1)

Measure [MEASURE] (3)

ECOICOP Rev. Istat [E_COICOP_REV_ISTAT] (18)

This dataset has 4,764 series:

Trim NA Values

Series code	2016-01	2016-02	2016-03	2016-04	2016-05	2016-06	2016-07	2016-08	2016-09	2016-10	2016-11	2016-12	2017-01	2017-02	2017-03	2017-04	2017-05	2017-06	2017-07	2017-08	2017-09	2017-10	2017-11	2017-12	2018-01	2018-02	2018-03	2018-04	2018-05	2018-06	2018-07	2018-08	2018-09	2018-10	2018-11	2018-12	2019-01	2019-02	2019-03	2019-04	2019-05	2019-06	2019-07	2019-08	2019-09	2019-10	2019-11	2019-12	2020-01	2020-02	2020-03	2020-04	2020-05	2020-06	2020-07	2020-08	2020-09	2020-10	2020-11	2020-12	2021-01	2021-02	2021-03	2021-04	2021-05	2021-06	2021-07	2021-08	2021-09	2021-10	2021-11	2021-12	2022-01	2022-02	2022-03	2022-04	2022-05	2022-06	2022-07	2022-08	2022-09	2022-10	2022-11	2022-12	2023-01	2023-02	2023-03	2023-04	2023-05	2023-06	2023-07	2023-08	2023-09	2023-10	2023-11	2023-12	2024-01	2024-02	2024-03	2024-04
[M.IT.55.6.01]	-0.2	-0.1	-0.1	0.1	0.4	0.1	-0.7	0.3	-0.1	0.1	0.5	0.4	1.2	1.3	-1	-0.5	0.2	-0.8	-0.7	0.1	0.5	0.7	0.4	0.1	1	-0.7	0.1	0.4	0.7	-0.3	-0.7	0	-0.2	0	0.5	-0.1	1	0.3	-0.5	-0.4	0.8	-0.4	-0.3	0.1	-0.4	0.1	0.5	0	0.8	0.1	0.3	1.2	0.5	-0.6	-1.1	-0.3	-0.3	0.3	0.5	-0.6	0.7	-0.2	0	0.7	0.3	-0.4	-0.6	0.4	0.1	0.3	0.8	0.7	1.4	0.9	0.9	1.3	1.2	1.1	0.3	1	1.1	1.9	1	0.3	0.9	1.5	0.9	0.4	0.9	0.4	0.1	0.2	-0.2	0	0.3	0.3	0.8	-0.2	-0.2	0
[M.IT.55.6.02]	0	0	0	0	1.8	0.4	-0.1	0	0	0	0	-0.2	0	0	0	0	0	0	0	0.3	0	0.1	0	0	0.7	0	1.1	0.8	0.5	0	0.3	-0.1	-0.1	-0.1	0.2	-0.6	0.5	1	0.9	0	0.1	0	0	0	-0.1	0	0.1	-0.5	0.8	-0.2	1.8	0.3	0.3	-0.5	0	-0.1	-0.1	-0.2	0.2	-0.5	0.8	0.2	-0.1	0.1	0	-0.2	0.2	-0.1	0	-0.2	0	-0.4	0.8	0.2	0.1	0	0.5	0.1	0.3	0.2	0.3	0.1	0.2	-0.4	0.8	1.7	0.5	0.1	0.4	-0.1	-0.3	0.2	0	-0.1	0.1	-0.5	0.5	1.7	-0.3	1.2
[M.IT.55.6.03]	-0.1	0	0.2	0	0	0	-0.1	0	0.2	0.1	0.1	0	0	-0.1	0.1	0	0.1	0	-0.1	0	0.1	0.1	0	0	0	-0.1	0.2	0	0	0	-0.1	-0.1	0.3	0	0	-0.1	-0.1	0	0.2	0	0.1	0	-0.2	0	0.3	0.1	0.1	0.1	0	-0.1	0.2	0.3	0	0.1	-0.1	-0.2	0	0.2	0.2	0	0	-0.1	0.1	-0.1	0.2	0	-0.1	-0.2	0.5	0.1	0.1	0.1	0	0	0.6	0.1	0.3	0.1	0	-0.1	1.2	0.6	0.3	0.1	0	0.1	0.7	0.2	0.2	0.2	0	-0.1	0.5	0.3	0.1	0.1	0	0	0.2	0
[M.IT.55.6.04]	-0.6	0	0.1	-2.3	0	0	0.2	0	0.7	0	0.1	0.1	0.7	0.4	0.2	0.2	0	0	-0.2	0	0	0.4	0.1	0	1.6	0.1	0.1	-2.1	0	0	2.2	0	0.1	2.1	0.1	0	0.8	0.1	0	-2.3	-0.2	0	-1	0.2	-0.1	0.8	0.1	0.1	0	-0.1	-0.1	-3.4	-0.3	0	-0.6	0.2	0	2.4	0.2	0.1	1.4	-0.1	0.2	1	0.3	0	2	0.6	0.1	3.8	2.5	0.4	8.1	3.4	0.9	-1.7	1.6	1.3	-0.3	5.7	0.5	22.3	2.2	-0.9	-4.5	-3.7	-6	-0.5	0.5	-2.7	-1.2	-0.5	0.2	0.4	-0.6	-0.1	1.5	-1.7	-1.3	-2.6
[M.IT.55.6.05]	0.1	0	0	0	0	0	0	0	0	0	0.1	-0.1	0	0	0.1	0	0	0	0	-0.1	0.1	0	0	0	0	0	0.1	0	0	0.1	-0.1	0.1	-0.1	-0.1	0	0.1	0	0	0	-0.2	0.2	0	-0.1	0.1	-0.1	-0.2	0.3	0.2	0.1	0.2	0.1	0.1	0	0.1	0.1	-0.1	-0.2	-0.1	0	0.2	0.2	0	0.2	-0.2	0.3	0.4	0	0.1	0.1	0.2	0	0.5	0.9	0.7	0.6	0.8	0.7	0.8	0.7	0.6	0.6	0.7	0.5	0.9	1.1	0.2	0	0.4	0.4	0.2	0.2	-0.1	0.1	-0.2	-0.1	0.3	0.2	0	0.2	-0.1
[M.IT.55.6.06]	0.2	0.1	0	0	0.1	0	0	0	0	0	0	0.1	0.1	0.1	0.1	-0.2	0	0	0.1	-0.2	0	0	0	0.1	-0.2	0.1	0.1	0	0.1	0	0	0	0	0	-0.1	0	0.2	0.2	0	0.1	0.1	0	0	0	0.1	0	0	0.1	0.2	0.1	0	0	0.1	0.1	0	0	0.1	0.1	0.1	0.1	0.2	0.1	0	0.1	0.1	0.1	0	0	0.1	0	0.1	0	0	0.2	0	0.2	0	0.1	0.1	0.1	0.1	0.1	0	0.1	0.5	0.3	0.2	0.1	0.2	0.1	0.1	0	0.2	0.2	0.1	0.1	0.3	0.2	0.3	0.1
[M.IT.55.6.07]	-1	-0.8	0.7	0.6	0.5	0.8	0.9	0.6	-1	-0.2	-0.2	1.1	0.2	0.6	0.5	1.3	-1.1	0	0.3	1.9	-1.9	-0.3	0	1.2	-1	0.7	0.5	0.3	0.7	1.7	0.1	2	-1.9	-0.5	-0.4	-1	-1.3	0.4	1.2	1.5	0	0.7	0.1	1.8	-3	0	-0.7	0.6	0.2	-0.8	-0.7	-0.7	-1.6	1.1	0.7	1.3	-2.5	-0.6	-0.5	1.5	1.3	0.9	1.8	-0.2	0.2	0.8	1.3	1.5	-1.3	1	1.2	0.6	-0.2	1.9	3.9	-1.7	1.1	3.3	1.5	-2	-1.6	-0.4	0.2	0	1.1	1.1	-0.1	0.7	-0.9	0.5	0.5	2	0.3	-0.2	-1.5	-0.5	-0.6	1.4	0.6	0.6
[M.IT.55.6.08]	0.3	-1	-0.1	-0.6	1	-1	-1.1	0	0	-0.4	-0.8	0.5	-0.2	0.1	0	-0.3	-0.7	-0.9	-0.8	0.3	0.9	-0.2	-0.2	0	0.4	-1.5	0.4	-0.1	-0.8	-1.8	-0.4	0.2	-0.3	-1.5	-1.8	0	0	-3.1	0.8	-2.5	-1.1	-2	0.5	1.3	0.6	-1.3	-0.7	-0.1	0.1	-0.6	-1.1	0.2	-1.5	-1	-1.1	-0.5	-0.3	0.1	-0.4	-0.4	1.7	0	-0.5	-0.6	-0.6	-1	0	0.4	0.1	-0.8	-1.4	0	-0.1	0.7	-0.5	-0.1	-1.2	-0.4	-1.1	0.5	1.1	-0.1	-1.2	0.9	1.3	2.5	-1.3	-0.8	-1.1	-0.5	-0.9	1.5	0	-1.3	-1.8	-0.1	0.1	-1.1	-0.6	-0.7
[M.IT.55.6.09]	0.2	0	-0.3	-0.2	-0.3	0	1.2	0.3	-1.3	0	-0.3	1.1	-0.7	0.3	0.1	-0.3	-0.1	-0.2	1.3	0.8	-1.7	-0.1	-0.2	1.1	0.3	0.2	-0.5	-0.2	-0.5	0.1	0.9	0.9	-1.9	-0.4	-0.7	1.5	0.2	0.2	-0.4	-0.2	-0.4	0	0.9	1	-1.9	-0.8	0	1.3	-1	-0.2	0.9	-0.1	-0.5	0.9	0.4	0.2	-1.4	-0.1	-0.2	2	-0.5	0.2	0.3	-0.1	-1.7	0.1	0.4	0.4	-0.7	-0.3	-0.1	1.8	0.5	0.2	-0.6	-1.4	0	0.1	0.8	1.3	-1	0.1	0.2	3.2	0.5	0.3	0.1	-0.2	-0.4	0.1	0.1	0.5	-0.4	-0.4	-0.8	1.7	0.1	0.3	-0.3	0
[M.IT.55.6.10]	0	0	0	0	0	0	0	0	0.4	-1.1	0	0	0.1	0	0	0	0	0	0	0	0.5	-14	0	0	0	0	0	0	0	0	0	0	0.8	-0.6	0	0	0	0	0.1	0	0	-0.1	0	0	0.7	0.5	0.1	0	0	0	0	0	0	0	0	0	0.7	-3.2	0	0	0	0	0	0	0	0	0	0	0.3	-0.7	0.2	0	0	0	0	0	0	0	0	0	0.9	0	0	0	0	0	0	0	0.1	0	0	0	1.3	0.6	0.1	0	0	0	0	0

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