[26_295] Life tables

Name: Life tables
Creator: DBnomics

Updated on 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:

Trim NA Values

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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