[29_316_DF_DCIS_POPSTRBIL1_1] Italy, regions, provinces

Name: Italy, regions, provinces
Creator: DBnomics

Updated on DBnomics on December 19, 2023 (10:48 AM).

[FREQ] Frequency

[A] annual

[REF_AREA] Territory

[IT] Italy
[IT108] Monza e della Brianza
[IT109] Fermo
[IT110] Barletta-Andria-Trani
[IT111] Sud Sardegna
[ITC] Nord-ovest
[ITC1] Piemonte
[ITC11] Torino
[ITC12] Vercelli
[ITC13] Biella
[ITC14] Verbano-Cusio-Ossola
[ITC15] Novara
[ITC16] Cuneo
[ITC17] Asti
[ITC18] Alessandria
[ITC2] Valle d'Aosta / Vallée d'Aoste
[ITC20] Valle d'Aosta / Vallée d'Aoste
[ITC3] Liguria
[ITC31] Imperia
[ITC32] Savona
[ITC33] Genova
[ITC34] La Spezia
[ITC4] Lombardia
[ITC41] Varese
[ITC42] Como
[ITC43] Lecco
[ITC44] Sondrio
[ITC45] Milano
[ITC46] Bergamo
[ITC47] Brescia
[ITC48] Pavia
[ITC49] Lodi
[ITC4A] Cremona
[ITC4B] Mantova
[ITD] Nord-est
[ITD1] Provincia Autonoma Bolzano / Bozen
[ITD10] Bolzano / Bozen
[ITD2] Provincia Autonoma Trento
[ITD20] Trento
[ITD3] Veneto
[ITD31] Verona
[ITD32] Vicenza
[ITD33] Belluno
[ITD34] Treviso
[ITD35] Venezia
[ITD36] Padova
[ITD37] Rovigo
[ITD4] Friuli-Venezia Giulia
[ITD41] Pordenone
[ITD42] Udine
[ITD43] Gorizia
[ITD44] Trieste
[ITD5] Emilia-Romagna
[ITD51] Piacenza
[ITD52] Parma
[ITD53] Reggio nell'Emilia
[ITD54] Modena
[ITD55] Bologna
[ITD56] Ferrara
[ITD57] Ravenna
[ITD58] Forlì-Cesena
[ITD59] Rimini
[ITE] Centro (I)
[ITE1] Toscana
[ITE11] Massa-Carrara
[ITE12] Lucca
[ITE13] Pistoia
[ITE14] Firenze
[ITE15] Prato
[ITE16] Livorno
[ITE17] Pisa
[ITE18] Arezzo
[ITE19] Siena
[ITE1A] Grosseto
[ITE2] Umbria
[ITE21] Perugia
[ITE22] Terni
[ITE3] Marche
[ITE31] Pesaro e Urbino
[ITE32] Ancona
[ITE33] Macerata
[ITE34] Ascoli Piceno
[ITE4] Lazio
[ITE41] Viterbo
[ITE42] Rieti
[ITE43] Roma
[ITE44] Latina
[ITE45] Frosinone
[ITF] Sud
[ITF1] Abruzzo
[ITF11] L'Aquila
[ITF12] Teramo
[ITF13] Pescara
[ITF14] Chieti
[ITF2] Molise
[ITF21] Isernia
[ITF22] Campobasso
[ITF3] Campania
[ITF31] Caserta
[ITF32] Benevento
[ITF33] Napoli
[ITF34] Avellino
[ITF35] Salerno
[ITF4] Puglia
[ITF41] Foggia
[ITF42] Bari
[ITF43] Taranto
[ITF44] Brindisi
[ITF45] Lecce
[ITF5] Basilicata
[ITF51] Potenza
[ITF52] Matera
[ITF6] Calabria
[ITF61] Cosenza
[ITF62] Crotone
[ITF63] Catanzaro
[ITF64] Vibo Valentia
[ITF65] Reggio di Calabria
[ITG] Isole
[ITG1] Sicilia
[ITG11] Trapani
[ITG12] Palermo
[ITG13] Messina
[ITG14] Agrigento
[ITG15] Caltanissetta
[ITG16] Enna
[ITG17] Catania
[ITG18] Ragusa
[ITG19] Siracusa
[ITG2] Sardegna
[ITG25] Sassari
[ITG26] Nuoro
[ITG27] Cagliari
[ITG28] Oristano

[DATA_TYPE] Indicator

[ACQCITIZ] foreigners who acquired Italian citizenship
[FBLOTHR] foreign population balance for other reasons from registry office
[FDEATH] foreign deaths
[FDEC_CP] foreign population on 31st December
[FDEREGM] foreign emigrants to other municipalities
[FDERGOTHC] foreign emigrants to other countries
[FDEROTHR] foreign deregistrations for other reasons
[FHOUSMEMB_CP] foreign resident population in private household on 31st December
[FIDECTR] foreign increase or decrease due to territorial changes
[FINTNMIG] foreign population international net migration
[FINTRNMIGR] foreign population internal net migration from registry office
[FJAN] foreign census population on 1st January
[FLBIRTH] foreign live births
[FNATGR] foreign population natural increase
[FNETMIG] foreign population net migration
[FNMIGRAT] foreign population net migration and balance for other reasons from registry office
[FPOPCOM_CP] foreign resident population in institutional household on 31st December
[FREGM] foreign immigrants from other municipalities
[FREGOTHC] foreign registrations from other countries
[FREGOTHR] foreign registrations for other reasons
[FREGSTAD_CP] foreign-statistical adjustment from new calculation methodology
[FSTAT_ADJUST] foreigners-statistical adjustment
[FTOCESTAD_CP] foreigners-total census balance
[FTOTAL_BAL] foreigners-total balance
[FTOTBAL_CP] foreign population total balance (natural, net migration and for other reasons)
[TFDEREG_TOT] total foreign deregistrations from registry office
[TFREG_TOT] total foreign registrations from registry office

[SEX] Gender

[1] males
[2] females
[9] total

Search filters

Frequency [FREQ] (1)

Territory [REF_AREA] (134)

Indicator [DATA_TYPE] (27)

Gender [SEX] (3)

This dataset has 10,854 series:

Trim NA Values

Series code	2019	2020	2021	2022
[A.IT.ACQCITIZ.1]	60111	66600	59913	107267
[A.IT.ACQCITIZ.2]	66890	65203	61544	106449
[A.IT.ACQCITIZ.9]	127001	131803	121457	213716
[A.IT.FBLOTHR.1]	-55424	-53697	-82872	-
[A.IT.FBLOTHR.2]	-36509	-36567	-63305	-
[A.IT.FBLOTHR.9]	-91933	-90264	-146177	-
[A.IT.FDEATH.1]	3937	4904	5243	5193
[A.IT.FDEATH.2]	3494	4304	4757	4676
[A.IT.FDEATH.9]	7431	9208	10000	9869
[A.IT.FDEC_CP.1]	2431678	2524644	2468202	2517539

Showing results 1 - 10 / 10,854