Life tables [26_295]

Updated by DBnomics on
June 11, 2019
Frequency [FREQ]
Age and age class [ETA_CLASSI_ETA]
Territory [ITTER107]
Gender [SESSO]
Biometric functions [FUNZ_BIO]

Dataset has 362,880 series. Add search filters to narrow them.

Dimensions codes and labels
[FREQ] Frequency
  • [A] annual
[ETA_CLASSI_ETA] Age and age class
  • [Y0] 0 years
  • [Y1] 1 years
  • [Y10] 10 years
  • [Y10-14] 10-14 years
  • [Y100] 100 years
  • [Y100-104] 100-104 years
  • [Y101] 101 years
  • [Y102] 102 years
  • [Y103] 103 years
  • [Y104] 104 years
  • [Y105] 105 years
  • [Y105-109] 105-109 years
  • [Y106] 106 years
  • [Y107] 107 years
  • [Y108] 108 years
  • [Y109] 109 years
  • [Y11] 11 years
  • [Y110] 110 years
  • [Y110-114] 110-114 years
  • [Y111] 111 years
  • [Y112] 112 years
  • [Y113] 113 years
  • [Y114] 114 years
  • [Y115] 115 years
  • [Y115-119] 115-119 years
  • [Y117] 117 years
  • [Y118] 118 years
  • [Y119] 119 years
  • [Y12] 12 years
  • [Y13] 13 years
  • [Y14] 14 years
  • [Y15] 15 years
  • [Y15-19] 15-19 years
  • [Y116] 16 years
  • [Y16] 16 years
  • [Y17] 17 years
  • [Y18] 18 years
  • [Y19] 19 years
  • [Y2] 2 years
  • [Y20] 20 years
  • [Y20-24] 20-24 years
  • [Y21] 21 years
  • [Y22] 22 years
  • [Y23] 23 years
  • [Y24] 24 years
  • [Y25] 25 years
  • [Y25-29] 25-29 years
  • [Y26] 26 years
  • [Y27] 27 years
  • [Y28] 28 years
  • [Y29] 29 years
  • [Y3] 3 years
  • [Y30] 30 years
  • [Y30-34] 30-34 years
  • [Y31] 31 years
  • [Y32] 32 years
  • [Y33] 33 years
  • [Y34] 34 years
  • [Y35] 35 years
  • [Y35-39] 35-39 years
  • [Y36] 36 years
  • [Y37] 37 years
  • [Y38] 38 years
  • [Y39] 39 years
  • [Y4] 4 years
  • [Y40] 40 years
  • [Y40-44] 40-44 years
  • [Y41] 41 years
  • [Y42] 42 years
  • [Y43] 43 years
  • [Y44] 44 years
  • [Y45] 45 years
  • [Y45-49] 45-49 years
  • [Y46] 46 years
  • [Y47] 47 years
  • [Y48] 48 years
  • [Y49] 49 years
  • [Y5] 5 years
  • [Y5-9] 5-9 years
  • [Y50] 50 years
  • [Y50-54] 50-54 years
  • [Y51] 51 years
  • [Y52] 52 years
  • [Y53] 53 years
  • [Y54] 54 years
  • [Y55] 55 years
  • [Y55-59] 55-59 years
  • [Y56] 56 years
  • [Y57] 57 years
  • [Y58] 58 years
  • [Y59] 59 years
  • [Y6] 6 years
  • [Y60] 60 years
  • [Y60-64] 60-64 years
  • [Y61] 61 years
  • [Y62] 62 years
  • [Y63] 63 years
  • [Y64] 64 years
  • [Y65] 65 years
  • [Y65-69] 65-69 years
  • [Y66] 66 years
  • [Y67] 67 years
  • [Y68] 68 years
  • [Y69] 69 years
  • [Y7] 7 years
  • [Y70] 70 years
  • [Y70-74] 70-74 years
  • [Y71] 71 years
  • [Y72] 72 years
  • [Y73] 73 years
  • [Y74] 74 years
  • [Y75] 75 years
  • [Y75-79] 75-79 years
  • [Y76] 76 years
  • [Y77] 77 years
  • [Y78] 78 years
  • [Y79] 79 years
  • [Y8] 8 years
  • [Y80] 80 years
  • [Y80-84] 80-84 years
  • [Y81] 81 years
  • [Y82] 82 years
  • [Y83] 83 years
  • [Y84] 84 years
  • [Y85] 85 years
  • [Y85-89] 85-89 years
  • [Y86] 86 years
  • [Y87] 87 years
  • [Y88] 88 years
  • [Y89] 89 years
  • [Y9] 9 years
  • [Y90] 90 years
  • [Y90-94] 90-94 years
  • [Y91] 91 years
  • [Y92] 92 years
  • [Y93] 93 years
  • [Y94] 94 years
  • [Y95] 95 years
  • [Y95-99] 95-99 years
  • [Y96] 96 years
  • [Y97] 97 years
  • [Y98] 98 years
  • [Y99] 99 years
  • [Y_UN4] until 4 years
[ITTER107] Territory
  • [ITF1] Abruzzo
  • [ITG14] Agrigento
  • [ITC18] Alessandria
  • [ITE32] Ancona
  • [ITE18] Arezzo
  • [ITE34] Ascoli Piceno
  • [ITC17] Asti
  • [ITF34] Avellino
  • [ITF42] Bari
  • [IT110] Barletta-Andria-Trani
  • [ITF5] Basilicata
  • [ITD33] Belluno
  • [ITF32] Benevento
  • [ITC46] Bergamo
  • [ITC13] Biella
  • [ITD55] Bologna
  • [ITD10] Bolzano / Bozen
  • [ITC47] Brescia
  • [ITF44] Brindisi
  • [ITG27] Cagliari
  • [ITF6] Calabria
  • [ITG15] Caltanissetta
  • [ITF3] Campania
  • [ITF22] Campobasso
  • [ITG2C] Carbonia-Iglesias
  • [ITF31] Caserta
  • [ITG17] Catania
  • [ITF63] Catanzaro
  • [ITE] Centro (I)
  • [ITF14] Chieti
  • [ITC42] Como
  • [ITF61] Cosenza
  • [ITC4A] Cremona
  • [ITF62] Crotone
  • [ITC16] Cuneo
  • [ITD5] Emilia-Romagna
  • [ITG16] Enna
  • [IT109] Fermo
  • [ITD56] Ferrara
  • [ITE14] Firenze
  • [ITF41] Foggia
  • [ITD58] Forlì-Cesena
  • [ITD4] Friuli-Venezia Giulia
  • [ITE45] Frosinone
  • [ITC33] Genova
  • [ITD43] Gorizia
  • [ITE1A] Grosseto
  • [ITC31] Imperia
  • [ITF21] Isernia
  • [ITG] Isole
  • [IT] Italy
  • [ITF11] L'Aquila
  • [ITC34] La Spezia
  • [ITE44] Latina
  • [ITE4] Lazio
  • [ITF45] Lecce
  • [ITC43] Lecco
  • [ITC3] Liguria
  • [ITE16] Livorno
  • [ITC49] Lodi
  • [ITC4] Lombardia
  • [ITE12] Lucca
  • [ITE33] Macerata
  • [ITC4B] Mantova
  • [ITE3] Marche
  • [ITE11] Massa-Carrara
  • [ITF52] Matera
  • [ITG2B] Medio Campidano
  • [ITG13] Messina
  • [ITFG] Mezzogiorno
  • [ITC45] Milano
  • [ITD54] Modena
  • [ITF2] Molise
  • [IT108] Monza e della Brianza
  • [ITF33] Napoli
  • [ITCD] Nord
  • [ITD] Nord-est
  • [ITC] Nord-ovest
  • [ITC15] Novara
  • [ITG26] Nuoro
  • [ITG2A] Ogliastra
  • [ITG29] Olbia-Tempio
  • [ITG28] Oristano
  • [ITD36] Padova
  • [ITG12] Palermo
  • [ITD52] Parma
  • [ITC48] Pavia
  • [ITE21] Perugia
  • [ITE31] Pesaro e Urbino
  • [ITF13] Pescara
  • [ITD51] Piacenza
  • [ITC1] Piemonte
  • [ITE17] Pisa
  • [ITE13] Pistoia
  • [ITD41] Pordenone
  • [ITF51] Potenza
  • [ITE15] Prato
  • [ITD1] Provincia Autonoma Bolzano / Bozen
  • [ITD2] Provincia Autonoma Trento
  • [ITF4] Puglia
  • [ITG18] Ragusa
  • [ITD57] Ravenna
  • [ITF65] Reggio di Calabria
  • [ITD53] Reggio nell'Emilia
  • [ITE42] Rieti
  • [ITD59] Rimini
  • [ITE43] Roma
  • [ITD37] Rovigo
  • [ITF35] Salerno
  • [ITG2] Sardegna
  • [ITG25] Sassari
  • [ITC32] Savona
  • [ITG1] Sicilia
  • [ITE19] Siena
  • [ITG19] Siracusa
  • [ITC44] Sondrio
  • [ITF] Sud
  • [ITF43] Taranto
  • [ITF12] Teramo
  • [ITE22] Terni
  • [ITC11] Torino
  • [ITE1] Toscana
  • [ITG11] Trapani
  • [ITDA] Trentino Alto Adige / Südtirol
  • [ITD20] Trento
  • [ITD34] Treviso
  • [ITD44] Trieste
  • [ITD42] Udine
  • [ITE2] Umbria
  • [ITC2] Valle d'Aosta / Vallée d'Aoste
  • [ITC20] Valle d'Aosta / Vallée d'Aoste
  • [ITC41] Varese
  • [ITD3] Veneto
  • [ITD35] Venezia
  • [ITC14] Verbano-Cusio-Ossola
  • [ITC12] Vercelli
  • [ITD31] Verona
  • [ITF64] Vibo Valentia
  • [ITD32] Vicenza
  • [ITE41] Viterbo
[SESSO] Gender
  • [2] females
  • [1] males
  • [9] total
[FUNZ_BIO] Biometric functions
  • [DEATHS] deaths - dx
  • [LIFEXP] life expectancy - ex
  • [PROBDEATH] probability of death (per thousand) - qx
  • [PROJPROB] projection probability - Px
  • [SURVIVORS] survivors - lx
  • [PYLIVED] years lived - Lx
Technical links