[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 | 
Loading chart 
  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 | 
Loading chart