Death rate [26_29_DF_DCIS_DECESSI_3]

Updated on DBnomics on December 8, 2023 (8:50 AM)

Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Gender [SEX]
Age [AGE]
Marital status [MARITAL_STATUS]
Citizenship [CITIZENSHIP]
Country of birth [COUNTRY_BIRTH]
Highest level of education attained [EDU_LEV_HIGHEST]

Dataset has 8,631 series. Add search filters to narrow them.

Dimension codes and labels
[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
  • [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
  • [DEATHRATEAGE] age-specific daeth rate (per thousand inhabitant)
[SEX] Gender
  • [1] males
  • [2] females
  • [9] total
[AGE] Age
  • [TOTAL] total
  • [Y10-14] 10-14 years
  • [Y15-19] 15-19 years
  • [Y20-24] 20-24 years
  • [Y25-29] 25-29 years
  • [Y30-34] 30-34 years
  • [Y35-39] 35-39 years
  • [Y40-44] 40-44 years
  • [Y45-49] 45-49 years
  • [Y5-9] 5-9 years
  • [Y50-54] 50-54 years
  • [Y55-59] 55-59 years
  • [Y60-64] 60-64 years
  • [Y65-69] 65-69 years
  • [Y70-74] 70-74 years
  • [Y75-79] 75-79 years
  • [Y80-84] 80-84 years
  • [Y85-89] 85-89 years
  • [Y90-94] 90-94 years
  • [Y_GE95] 95 years and over
  • [Y_UN4] until 4 years
[MARITAL_STATUS] Marital status
  • [99] total
[CITIZENSHIP] Citizenship
  • [TOTAL] Total
[COUNTRY_BIRTH] Country of birth
  • [X1033] World
[EDU_LEV_HIGHEST] Highest level of education attained
  • [99] total
Technical links