[164_279_DF_DCIS_RICPOPRES1991_1] Italy, regions, provinces

Name: Italy, regions, provinces
Creator: DBnomics

Updated on DBnomics on January 14, 2023 (12:39 AM).

[FREQ] Frequency

[A] annual

[REF_AREA] Territory

[IT] Italy
[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
[ITCD] Nord
[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
[ITFG] Mezzogiorno
[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

[JAN] population on 1st January

[AGE] Age

[TOTAL] total
[Y0] 0 years
[Y1] 1 years
[Y10] 10 years
[Y11] 11 years
[Y12] 12 years
[Y13] 13 years
[Y14] 14 years
[Y15] 15 years
[Y16] 16 years
[Y17] 17 years
[Y18] 18 years
[Y19] 19 years
[Y2] 2 years
[Y20] 20 years
[Y21] 21 years
[Y22] 22 years
[Y23] 23 years
[Y24] 24 years
[Y25] 25 years
[Y26] 26 years
[Y27] 27 years
[Y28] 28 years
[Y29] 29 years
[Y3] 3 years
[Y30] 30 years
[Y31] 31 years
[Y32] 32 years
[Y33] 33 years
[Y34] 34 years
[Y35] 35 years
[Y36] 36 years
[Y37] 37 years
[Y38] 38 years
[Y39] 39 years
[Y4] 4 years
[Y40] 40 years
[Y41] 41 years
[Y42] 42 years
[Y43] 43 years
[Y44] 44 years
[Y45] 45 years
[Y46] 46 years
[Y47] 47 years
[Y48] 48 years
[Y49] 49 years
[Y5] 5 years
[Y50] 50 years
[Y51] 51 years
[Y52] 52 years
[Y53] 53 years
[Y54] 54 years
[Y55] 55 years
[Y56] 56 years
[Y57] 57 years
[Y58] 58 years
[Y59] 59 years
[Y6] 6 years
[Y60] 60 years
[Y61] 61 years
[Y62] 62 years
[Y63] 63 years
[Y64] 64 years
[Y65] 65 years
[Y66] 66 years
[Y67] 67 years
[Y68] 68 years
[Y69] 69 years
[Y7] 7 years
[Y70] 70 years
[Y71] 71 years
[Y72] 72 years
[Y73] 73 years
[Y74] 74 years
[Y75] 75 years
[Y76] 76 years
[Y77] 77 years
[Y78] 78 years
[Y79] 79 years
[Y8] 8 years
[Y80] 80 years
[Y81] 81 years
[Y82] 82 years
[Y83] 83 years
[Y84] 84 years
[Y85] 85 years
[Y86] 86 years
[Y87] 87 years
[Y88] 88 years
[Y89] 89 years
[Y9] 9 years
[Y90] 90 years
[Y91] 91 years
[Y92] 92 years
[Y93] 93 years
[Y94] 94 years
[Y95] 95 years
[Y96] 96 years
[Y97] 97 years
[Y98] 98 years
[Y99] 99 years
[Y_GE100] 100 years and over

[SEX] Gender

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

Search filters

Frequency [FREQ] (1)

Territory [REF_AREA] (133)

Indicator [DATA_TYPE] (1)

Age [AGE] (102)

Gender [SEX] (3)

This dataset has 40,698 series:

Trim NA Values

Series code	1982	1983	1984	1985	1986	1987	1988	1989	1990	1991
[A.IT.JAN.Y10.2]	436369	427304	422339	419716	400342	377279	357365	343142	321285	309457
[A.IT.JAN.Y10.9]	894942	877201	863509	858372	817917	771251	730283	701803	657523	633616
[A.IT.JAN.Y11.1]	454866	458262	449503	440865	438390	417374	393813	372853	358599	336157
[A.IT.JAN.Y11.2]	433632	436195	427221	422263	419687	400331	377255	357405	343191	321259
[A.IT.JAN.Y11.9]	888498	894457	876724	863128	858077	817705	771068	730258	701790	657416
[A.IT.JAN.Y12.1]	469932	454156	457953	449110	440561	438141	417208	393641	372799	358577
[A.IT.JAN.Y12.2]	449150	433330	436106	427172	422250	419725	400394	377271	357508	343286
[A.IT.JAN.Y12.9]	919082	887486	894059	876282	862811	857866	817602	770912	730307	701863
[A.IT.JAN.Y13.1]	464940	468909	453490	457774	448747	440278	437914	417055	393513	372766
[A.IT.JAN.Y13.2]	444554	448763	433092	436115	427217	422298	419822	400485	377336	357633

Showing results 11 - 20 / 40,698