[22_315_DF_DCIS_POPORESBIL1_1] Annual data

Name: Annual data
Creator: DBnomics

Updated on DBnomics on April 16, 2024 (5:07 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
[ITDA] Trentino Alto Adige / Südtirol
[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

[AVNUHM_CP] average number of members in private household on 31st December
[BEG] population censused on 1st January
[BLOTHREAS] balance for other reasons
[DEATH] deaths
[DEC_CP] population censused on 31st December
[DEC_CP_P] population on 31st December
[DEREGM] emigrants to other municipalities
[DEREGOTHC] emigrants to foreign countries
[DEROTHREAS] deregistrations for other reasons
[HOUSMEMB_CP] resident population censused in private household on 31st December
[IDECTR] increase or decrease due to territorial changes
[INTERTNMIG_REGOF] international net migration with other countries
[INTNETMIGR_REGOF] internal net migration
[LBIRTH] live births
[NMIGRAT] net migration and balance for other reasons from registry office
[NTGROW_REGOF] natural increase
[NUMCOM_CP] number of institutional households on 31st December
[NUMPRHO_CP] number of private households on 31st December
[POPCOM_CP] resident censused population in institutional household on 31st December
[REGM] registrations from other municipalities
[REGOTHC] immigrants from foreign countries
[REGOTHREAS] registrations for other reasons
[STAT_ADJUST] statistical adjustment
[TDEREG_TOT] total deregistrations from registry office
[TOTAL_BAL] total balance
[TOTCESTAD_CP] total census balance
[TREG_TOT] total registrations from registry office

[SEX] Gender

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

Search filters

Frequency [FREQ] (1)

Territory [REF_AREA] (135)

Indicator [DATA_TYPE] (27)

Gender [SEX] (3)

This dataset has 10,110 series:

Trim NA Values

Series code	2019	2020	2021	2022	2023
[A.IT.DEC_CP.1]	29050096	28866226	28818956	28814832	NA
[A.IT.DEC_CP.2]	30591392	30369987	30211177	30182369	NA
[A.IT.DEC_CP.9]	59641488	59236213	59030133	58997201	NA
[A.IT.DEC_CP_P.1]	NA	NA	NA	NA	28851041
[A.IT.DEC_CP_P.2]	NA	NA	NA	NA	30138708
[A.IT.DEC_CP_P.9]	NA	NA	NA	NA	58989749
[A.IT.DEREGM.1]	761298	680369	727401	746273	739116
[A.IT.DEREGM.2]	723999	653311	695800	725097	705081
[A.IT.DEREGM.9]	1485297	1333680	1423201	1471370	1444197
[A.IT.DEREGOTHC.1]	94314	82331	83184	78441	72642

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