[26_295] Life tables
Retrieved by DBnomics on March 30, 2024 (11:51 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
[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
[DEATHS] deaths - dx
[LIFEXP] life expectancy - ex
[PROBDEATH] probability of death (per thousand) - qx
[PROJPROB] projection probability - Px
[PYLIVED] years lived - Lx
[SURVIVORS] survivors - lx
[SEX] Gender
[1] males
[2] females
[9] total
[AGE] Age
[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
[Y116] 16 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
[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
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (137)
Indicator [DATA_TYPE] (6)
Gender [SEX] (3)
Age [AGE] (144)
This dataset has 355,104 series:
[A.IT.DEATHS.1.Y0] annual – Italy – deaths - dx – males (1) – 0 years
- from
- 1974=2,726
- to
- 2023=264
- min:
- 249
- max:
- 2,726
- avg:
- 868.82
- σ:
- 682.641
[A.IT.DEATHS.1.Y1] annual – Italy – deaths - dx – males (1) – 1 years
- from
- 1974=118
- to
- 2023=21
- min:
- 17
- max:
- 118
- avg:
- 46.24
- σ:
- 28.229
[A.IT.DEATHS.1.Y10] annual – Italy – deaths - dx – males (1) – 10 years
- from
- 1974=36
- to
- 2023=7
- min:
- 7
- max:
- 36
- avg:
- 17.14
- σ:
- 9.295
[A.IT.DEATHS.1.Y10-14] annual – Italy – deaths - dx – males (1) – 10-14 years
- from
- 1974=213
- to
- 2023=44
- min:
- 43
- max:
- 213
- avg:
- 110.8
- σ:
- 53.218
[A.IT.DEATHS.1.Y100] annual – Italy – deaths - dx – males (1) – 100 years
- from
- 1974=35
- to
- 2023=484
- min:
- 25
- max:
- 484
- avg:
- 206.46
- σ:
- 138.266
[A.IT.DEATHS.1.Y100-104] annual – Italy – deaths - dx – males (1) – 100-104 years
- from
- 1974=70
- to
- 2023=1,176
- min:
- 49
- max:
- 1,236
- avg:
- 493.78
- σ:
- 348.567
[A.IT.DEATHS.1.Y101] annual – Italy – deaths - dx – males (1) – 101 years
- from
- 1974=19
- to
- 2023=318
- min:
- 13
- max:
- 344
- avg:
- 134.62
- σ:
- 95.423
[A.IT.DEATHS.1.Y102] annual – Italy – deaths - dx – males (1) – 102 years
- from
- 1974=10
- to
- 2023=197
- min:
- 7
- max:
- 220
- avg:
- 81.6
- σ:
- 60.162
[A.IT.DEATHS.1.Y103] annual – Italy – deaths - dx – males (1) – 103 years
- from
- 1974=5
- to
- 2023=115
- min:
- 3
- max:
- 133
- avg:
- 46.42
- σ:
- 35.807
[A.IT.DEATHS.1.Y104] annual – Italy – deaths - dx – males (1) – 104 years
- from
- 1974=2
- to
- 2023=62
- min:
- 1
- max:
- 75
- avg:
- 24.78
- σ:
- 19.874
Series code | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.IT.DEATHS.1.Y0] | 2726 | 2618 | 2423 | 2281 | 2113 | 1971 | 1814 | 1687 | 1487 | 1378 | 1291 | 1235 | 1217 | 1126 | 1043 | 1002 | 937 | 925 | 888 | 860 | 814 | 744 | 673 | 626 | 597 | 569 | 521 | 498 | 465 | 437 | 399 | 376 | 367 | 352 | 342 | 344 | 348 | 343 | 326 | 329 | 325 | 327 | 320 | 310 | 312 | 299 | 285 | 258 | 249 | 264 |
[A.IT.DEATHS.1.Y1] | 118 | 106 | 105 | 100 | 97 | 93 | 92 | 88 | 83 | 76 | 67 | 64 | 55 | 60 | 56 | 50 | 46 | 49 | 51 | 46 | 45 | 45 | 45 | 40 | 35 | 30 | 29 | 29 | 29 | 27 | 26 | 25 | 26 | 25 | 24 | 23 | 23 | 24 | 23 | 26 | 23 | 22 | 17 | 20 | 22 | 24 | 22 | 20 | 20 | 21 |
[A.IT.DEATHS.1.Y10] | 36 | 35 | 35 | 35 | 35 | 33 | 32 | 29 | 28 | 26 | 25 | 25 | 25 | 23 | 21 | 20 | 19 | 19 | 19 | 19 | 19 | 18 | 16 | 16 | 15 | 14 | 13 | 12 | 13 | 12 | 11 | 10 | 9 | 9 | 9 | 9 | 9 | 9 | 8 | 8 | 7 | 8 | 8 | 9 | 9 | 9 | 8 | 7 | 7 | 7 |
[A.IT.DEATHS.1.Y10-14] | 213 | 205 | 198 | 199 | 194 | 194 | 196 | 188 | 179 | 166 | 158 | 154 | 150 | 141 | 135 | 131 | 134 | 134 | 135 | 135 | 129 | 125 | 119 | 118 | 111 | 106 | 96 | 88 | 84 | 81 | 74 | 73 | 67 | 66 | 64 | 70 | 66 | 63 | 55 | 55 | 50 | 52 | 54 | 55 | 54 | 49 | 46 | 43 | 44 | 44 |
[A.IT.DEATHS.1.Y100] | 35 | 25 | 28 | 32 | 38 | 39 | 33 | 44 | 53 | 40 | 66 | 55 | 67 | 87 | 93 | 110 | 109 | 115 | 142 | 139 | 147 | 164 | 180 | 175 | 166 | 191 | 217 | 256 | 270 | 203 | 312 | 252 | 308 | 287 | 259 | 275 | 303 | 333 | 307 | 375 | 451 | 337 | 455 | 379 | 465 | 475 | 274 | 371 | 302 | 484 |
[A.IT.DEATHS.1.Y100-104] | 70 | 49 | 56 | 65 | 77 | 79 | 66 | 89 | 110 | 80 | 140 | 114 | 142 | 189 | 204 | 245 | 243 | 256 | 325 | 318 | 335 | 380 | 422 | 407 | 381 | 447 | 515 | 620 | 702 | 502 | 817 | 608 | 767 | 698 | 638 | 671 | 742 | 840 | 740 | 885 | 1073 | 740 | 1089 | 920 | 1236 | 1229 | 633 | 884 | 675 | 1176 |
[A.IT.DEATHS.1.Y101] | 19 | 13 | 15 | 17 | 21 | 21 | 18 | 24 | 30 | 22 | 38 | 31 | 38 | 51 | 55 | 66 | 66 | 69 | 88 | 86 | 91 | 103 | 114 | 110 | 103 | 120 | 138 | 166 | 191 | 142 | 225 | 167 | 207 | 188 | 176 | 183 | 204 | 236 | 211 | 248 | 284 | 193 | 287 | 248 | 344 | 342 | 175 | 242 | 187 | 318 |
[A.IT.DEATHS.1.Y102] | 10 | 7 | 8 | 9 | 11 | 11 | 9 | 13 | 16 | 11 | 21 | 16 | 21 | 29 | 31 | 38 | 38 | 40 | 52 | 50 | 53 | 61 | 69 | 66 | 61 | 73 | 84 | 104 | 123 | 85 | 144 | 101 | 131 | 117 | 108 | 113 | 125 | 144 | 122 | 144 | 177 | 114 | 181 | 154 | 220 | 215 | 102 | 146 | 105 | 197 |
[A.IT.DEATHS.1.Y103] | 5 | 3 | 4 | 4 | 5 | 5 | 4 | 6 | 8 | 5 | 11 | 8 | 11 | 15 | 16 | 20 | 20 | 21 | 29 | 28 | 29 | 34 | 39 | 37 | 34 | 41 | 48 | 61 | 75 | 48 | 87 | 57 | 78 | 68 | 62 | 65 | 72 | 83 | 66 | 78 | 104 | 63 | 107 | 90 | 133 | 127 | 55 | 82 | 55 | 115 |
[A.IT.DEATHS.1.Y104] | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 3 | 4 | 2 | 5 | 4 | 5 | 7 | 8 | 10 | 10 | 11 | 15 | 14 | 15 | 18 | 21 | 20 | 18 | 22 | 26 | 34 | 43 | 25 | 49 | 30 | 43 | 37 | 33 | 35 | 38 | 44 | 33 | 40 | 57 | 33 | 60 | 49 | 75 | 70 | 28 | 43 | 27 | 62 |
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Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (137)
Indicator [DATA_TYPE] (6)
Gender [SEX] (3)
Age [AGE] (144)
This dataset has 355,104 series:
[A.IT.DEATHS.1.Y0] annual – Italy – deaths - dx – males (1) – 0 years
- from
- 1974=2,726
- to
- 2023=264
- min:
- 249
- max:
- 2,726
- avg:
- 868.82
- σ:
- 682.641
[A.IT.DEATHS.1.Y1] annual – Italy – deaths - dx – males (1) – 1 years
- from
- 1974=118
- to
- 2023=21
- min:
- 17
- max:
- 118
- avg:
- 46.24
- σ:
- 28.229
[A.IT.DEATHS.1.Y10] annual – Italy – deaths - dx – males (1) – 10 years
- from
- 1974=36
- to
- 2023=7
- min:
- 7
- max:
- 36
- avg:
- 17.14
- σ:
- 9.295
[A.IT.DEATHS.1.Y10-14] annual – Italy – deaths - dx – males (1) – 10-14 years
- from
- 1974=213
- to
- 2023=44
- min:
- 43
- max:
- 213
- avg:
- 110.8
- σ:
- 53.218
[A.IT.DEATHS.1.Y100] annual – Italy – deaths - dx – males (1) – 100 years
- from
- 1974=35
- to
- 2023=484
- min:
- 25
- max:
- 484
- avg:
- 206.46
- σ:
- 138.266
[A.IT.DEATHS.1.Y100-104] annual – Italy – deaths - dx – males (1) – 100-104 years
- from
- 1974=70
- to
- 2023=1,176
- min:
- 49
- max:
- 1,236
- avg:
- 493.78
- σ:
- 348.567
[A.IT.DEATHS.1.Y101] annual – Italy – deaths - dx – males (1) – 101 years
- from
- 1974=19
- to
- 2023=318
- min:
- 13
- max:
- 344
- avg:
- 134.62
- σ:
- 95.423
[A.IT.DEATHS.1.Y102] annual – Italy – deaths - dx – males (1) – 102 years
- from
- 1974=10
- to
- 2023=197
- min:
- 7
- max:
- 220
- avg:
- 81.6
- σ:
- 60.162
[A.IT.DEATHS.1.Y103] annual – Italy – deaths - dx – males (1) – 103 years
- from
- 1974=5
- to
- 2023=115
- min:
- 3
- max:
- 133
- avg:
- 46.42
- σ:
- 35.807
[A.IT.DEATHS.1.Y104] annual – Italy – deaths - dx – males (1) – 104 years
- from
- 1974=2
- to
- 2023=62
- min:
- 1
- max:
- 75
- avg:
- 24.78
- σ:
- 19.874
Series code | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.IT.DEATHS.1.Y0] | 2726 | 2618 | 2423 | 2281 | 2113 | 1971 | 1814 | 1687 | 1487 | 1378 | 1291 | 1235 | 1217 | 1126 | 1043 | 1002 | 937 | 925 | 888 | 860 | 814 | 744 | 673 | 626 | 597 | 569 | 521 | 498 | 465 | 437 | 399 | 376 | 367 | 352 | 342 | 344 | 348 | 343 | 326 | 329 | 325 | 327 | 320 | 310 | 312 | 299 | 285 | 258 | 249 | 264 |
[A.IT.DEATHS.1.Y1] | 118 | 106 | 105 | 100 | 97 | 93 | 92 | 88 | 83 | 76 | 67 | 64 | 55 | 60 | 56 | 50 | 46 | 49 | 51 | 46 | 45 | 45 | 45 | 40 | 35 | 30 | 29 | 29 | 29 | 27 | 26 | 25 | 26 | 25 | 24 | 23 | 23 | 24 | 23 | 26 | 23 | 22 | 17 | 20 | 22 | 24 | 22 | 20 | 20 | 21 |
[A.IT.DEATHS.1.Y10] | 36 | 35 | 35 | 35 | 35 | 33 | 32 | 29 | 28 | 26 | 25 | 25 | 25 | 23 | 21 | 20 | 19 | 19 | 19 | 19 | 19 | 18 | 16 | 16 | 15 | 14 | 13 | 12 | 13 | 12 | 11 | 10 | 9 | 9 | 9 | 9 | 9 | 9 | 8 | 8 | 7 | 8 | 8 | 9 | 9 | 9 | 8 | 7 | 7 | 7 |
[A.IT.DEATHS.1.Y10-14] | 213 | 205 | 198 | 199 | 194 | 194 | 196 | 188 | 179 | 166 | 158 | 154 | 150 | 141 | 135 | 131 | 134 | 134 | 135 | 135 | 129 | 125 | 119 | 118 | 111 | 106 | 96 | 88 | 84 | 81 | 74 | 73 | 67 | 66 | 64 | 70 | 66 | 63 | 55 | 55 | 50 | 52 | 54 | 55 | 54 | 49 | 46 | 43 | 44 | 44 |
[A.IT.DEATHS.1.Y100] | 35 | 25 | 28 | 32 | 38 | 39 | 33 | 44 | 53 | 40 | 66 | 55 | 67 | 87 | 93 | 110 | 109 | 115 | 142 | 139 | 147 | 164 | 180 | 175 | 166 | 191 | 217 | 256 | 270 | 203 | 312 | 252 | 308 | 287 | 259 | 275 | 303 | 333 | 307 | 375 | 451 | 337 | 455 | 379 | 465 | 475 | 274 | 371 | 302 | 484 |
[A.IT.DEATHS.1.Y100-104] | 70 | 49 | 56 | 65 | 77 | 79 | 66 | 89 | 110 | 80 | 140 | 114 | 142 | 189 | 204 | 245 | 243 | 256 | 325 | 318 | 335 | 380 | 422 | 407 | 381 | 447 | 515 | 620 | 702 | 502 | 817 | 608 | 767 | 698 | 638 | 671 | 742 | 840 | 740 | 885 | 1073 | 740 | 1089 | 920 | 1236 | 1229 | 633 | 884 | 675 | 1176 |
[A.IT.DEATHS.1.Y101] | 19 | 13 | 15 | 17 | 21 | 21 | 18 | 24 | 30 | 22 | 38 | 31 | 38 | 51 | 55 | 66 | 66 | 69 | 88 | 86 | 91 | 103 | 114 | 110 | 103 | 120 | 138 | 166 | 191 | 142 | 225 | 167 | 207 | 188 | 176 | 183 | 204 | 236 | 211 | 248 | 284 | 193 | 287 | 248 | 344 | 342 | 175 | 242 | 187 | 318 |
[A.IT.DEATHS.1.Y102] | 10 | 7 | 8 | 9 | 11 | 11 | 9 | 13 | 16 | 11 | 21 | 16 | 21 | 29 | 31 | 38 | 38 | 40 | 52 | 50 | 53 | 61 | 69 | 66 | 61 | 73 | 84 | 104 | 123 | 85 | 144 | 101 | 131 | 117 | 108 | 113 | 125 | 144 | 122 | 144 | 177 | 114 | 181 | 154 | 220 | 215 | 102 | 146 | 105 | 197 |
[A.IT.DEATHS.1.Y103] | 5 | 3 | 4 | 4 | 5 | 5 | 4 | 6 | 8 | 5 | 11 | 8 | 11 | 15 | 16 | 20 | 20 | 21 | 29 | 28 | 29 | 34 | 39 | 37 | 34 | 41 | 48 | 61 | 75 | 48 | 87 | 57 | 78 | 68 | 62 | 65 | 72 | 83 | 66 | 78 | 104 | 63 | 107 | 90 | 133 | 127 | 55 | 82 | 55 | 115 |
[A.IT.DEATHS.1.Y104] | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 3 | 4 | 2 | 5 | 4 | 5 | 7 | 8 | 10 | 10 | 11 | 15 | 14 | 15 | 18 | 21 | 20 | 18 | 22 | 26 | 34 | 43 | 25 | 49 | 30 | 43 | 37 | 33 | 35 | 38 | 44 | 33 | 40 | 57 | 33 | 60 | 49 | 75 | 70 | 28 | 43 | 27 | 62 |
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