[DECES-MORTALITE] Death and mortality
Updated by provider on March 29, 2024 (12:00 AM).
[FREQ] Frequency
- [A] Annual
- [M] Monthly
[INDICATEUR] Indicator
- [DECES_DOMICILIES] Deaths domiciled
- [ESPERANCE_VIE] Life expectancy
- [NOMBRE_DECES] Number of dead
- [TAUX_BRUT_MORTALITE] Crude mortalily rate
- [TAUX_MORTALITE] Mortality rate
- [TAUX_MORTALITE_STANDARDISE] Standardized mortality rate
[NATURE] Nature
- [TAUX] Rate
- [VALEUR_ABSOLUE] Absolute value
[DEMOGRAPHIE] Catalog of demographic indicators
- [DECES] Deaths of all ages
- [DECES-1A] Deaths under the age of 1 year
- [DECES-DOM] Deaths of all ages, with home address
- [ESPV] Life expectancy at birth
- [ESPV-01] Life expectancy at 1 year
- [ESPV-20] Life expectancy at 20 years
- [ESPV-40] Life expectancy at 40 years
- [ESPV-60] Life expectancy at 60 years
- [SO] Not applicable
- [TXMOR] Mortality rate
- [TXMORINF] Infant mortality rate
- [TXMSG] Mortality rates for different age groups, by gender
[REF_AREA] Reference area
- [AU] French overseas territories (TOM) + Abroad
- [D01] 01 - Ain
- [D02] 02 - Aisne
- [D03] 03 - Allier
- [D04] 04 - Alpes-de-Haute-Provence
- [D05] 05 - Hautes-Alpes
- [D06] 06 - Alpes-Maritimes
- [D07] 07 - Ardèche
- [D08] 08 - Ardennes
- [D09] 09 - Ariège
- [D10] 10 - Aube
- [D11] 11 - Aude
- [D12] 12 - Aveyron
- [D13] 13 - Bouches-du-Rhône
- [D14] 14 - Calvados
- [D15] 15 - Cantal
- [D16] 16 - Charente
- [D17] 17 - Charente-Maritime
- [D18] 18 - Cher
- [D19] 19 - Corrèze
- [D21] 21 - Côte-d'Or
- [D22] 22 - Côtes-d'Armor
- [D23] 23 - Creuse
- [D24] 24 - Dordogne
- [D25] 25 - Doubs
- [D26] 26 - Drôme
- [D27] 27 - Eure
- [D28] 28 - Eure-et-Loir
- [D29] 29 - Finistère
- [D2A] 2A - Corse-du-Sud
- [D2B] 2B - Haute-Corse
- [D30] 30 - Gard
- [D31] 31 - Haute-Garonne
- [D32] 32 - Gers
- [D33] 33 - Gironde
- [D34] 34 - Hérault
- [D35] 35 - Ille-et-Vilaine
- [D36] 36 - Indre
- [D37] 37 - Indre-et-Loire
- [D38] 38 - Isère
- [D39] 39 - Jura
- [D40] 40 - Landes
- [D41] 41 - Loir-et-Cher
- [D42] 42 - Loire
- [D43] 43 - Haute-Loire
- [D44] 44 - Loire-Atlantique
- [D45] 45 - Loiret
- [D46] 46 - Lot
- [D47] 47 - Lot-et-Garonne
- [D48] 48 - Lozère
- [D49] 49 - Maine-et-Loire
- [D50] 50 - Manche
- [D51] 51 - Marne
- [D52] 52 - Haute-Marne
- [D53] 53 - Mayenne
- [D54] 54 - Meurthe-et-Moselle
- [D55] 55 - Meuse
- [D56] 56 - Morbihan
- [D57] 57 - Moselle
- [D58] 58 - Nièvre
- [D59] 59 - Nord
- [D60] 60 - Oise
- [D61] 61 - Orne
- [D62] 62 - Pas-de-Calais
- [D63] 63 - Puy-de-Dôme
- [D64] 64 - Pyrénées-Atlantiques
- [D65] 65 - Hautes-Pyrénées
- [D66] 66 - Pyrénées-Orientales
- [D67] 67 - Bas-Rhin
- [D68] 68 - Haut-Rhin
- [D69] 69 - Rhône
- [D70] 70 - Haute-Saône
- [D71] 71 - Saône-et-Loire
- [D72] 72 - Sarthe
- [D73] 73 - Savoie
- [D74] 74 - Haute-Savoie
- [D75] 75 - Paris
- [D76] 76 - Seine-Maritime
- [D77] 77 - Seine-et-Marne
- [D78] 78 - Yvelines
- [D79] 79 - Deux-Sèvres
- [D80] 80 - Somme
- [D81] 81 - Tarn
- [D82] 82 - Tarn-et-Garonne
- [D83] 83 - Var
- [D84] 84 - Vaucluse
- [D85] 85 - Vendée
- [D86] 86 - Vienne
- [D87] 87 - Haute-Vienne
- [D88] 88 - Vosges
- [D89] 89 - Yonne
- [D90] 90 - Territoire de Belfort
- [D91] 91 - Essonne
- [D92] 92 - Hauts-de-Seine
- [D93] 93 - Seine-Saint-Denis
- [D94] 94 - Val-de-Marne
- [D95] 95 - Val-d'Oise
- [D971] 971 - Guadeloupe
- [D972] 972 - Martinique
- [D973] 973 - French Guiana
- [D974] 974 - La Réunion
- [D976] 976 - Mayotte
- [DOM] French overseas departments
- [FE] France
- [FM] Metropolitan France
- [FR-D976] France excluding Mayotte
- [F_H_IDF] Metropolitan France excluding Île-de-France
- [R11] Île-de-France
- [R24] Centre-Val de Loire
- [R27] Bourgogne-Franche-Comté
- [R28] Normandie
- [R32] Hauts-de-France
- [R44] Grand Est
- [R52] Pays de la Loire
- [R53] Bretagne
- [R75] Nouvelle-Aquitaine
- [R76] Occitanie
- [R84] Auvergne-Rhône-Alpes
- [R93] Provence-Alpes-Côte d'Azur
- [R94] Corse
[SEXE] Gender
- [0] All
- [1] Men
- [2] Women
- [SO] Not applicable
[AGE] Age
- [00-] All ages
- [00-01] Below one year old
- [00-64] From 0 to 64 years old
- [01-04] From 1 to 4 years old
- [05-09] From 5 to 9 years old
- [10-14] From 10 to 14 years old
- [15-19] From 15 to 19 years old
- [20-24] From 20 to 24 years old
- [25-29] From 25 to 29 years old
- [30-34] From 30 to 34 years old
- [35-39] From 35 to 39 years old
- [40-44] From 40 to 44 years old
- [45-49] From 45 to 49 years old
- [50-54] From 50 to 54 years old
- [55-59] From 55 to 59 years old
- [60-64] From 60 to 64 years old
- [65-] 65 years and over
- [65-69] From 65 to 69 years old
- [70-79] From 70 to 79 years old
- [80-89] From 80 to 89 years old
- [90-] 90 years old and over
- [SO] Not applicable
[UNIT_MEASURE] Unit
- [ANNEES] number of years
- [DECES_1000_PERS] number of deaths per 1,000 inhabitants
- [INDIVIDUS] individuals
- [NOMBRE] number
- [P1000] per thousand
- [SO] not applicable
[CORRECTION] Correction
- [BRUT] Uncorrected
[SERIE_ARRETEE] Stopped series
- [FALSE] nO
- [TRUE] yes
Search filters
Frequency [FREQ] (2)
Indicator [INDICATEUR] (6)
Nature [NATURE] (2)
Catalog of demographic indicators [DEMOGRAPHIE] (12)
Reference area [REF_AREA] (120)
Gender [SEXE] (4)
Age [AGE] (22)
Unit [UNIT_MEASURE] (6)
Correction [CORRECTION] (1)
Stopped series [SERIE_ARRETEE] (2)
This dataset has 1,889 series:
Series code | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D21.SO.SO.NOMBRE.BRUT.FALSE] | 4612 | 4488 | 4254 | 4398 | 4344 | 4495 | 4344 | 4333 | 4575 | 4196 | 4349 | 4438 | 4162 | 4288 | 4323 | 4220 | 4265 | 4321 | 4407 | 4170 | 4414 | 4466 | 4441 | 4319 | 4636 | 4400 | 4483 | 4470 | 4571 | 4169 | 4427 | 4235 | 4357 | 4362 | 4481 | 4403 | 4500 | 4701 | 4688 | 4422 | 4808 | 4819 | 5070 | 4975 | 4920 | 5594 | 5091 | 5402 |
[A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D22.SO.SO.NOMBRE.BRUT.FALSE] | 6800 | 6589 | 6607 | 6642 | 6569 | 6779 | 6791 | 6504 | 6955 | 6680 | 6642 | 6838 | 6400 | 6179 | 6233 | 6549 | 6307 | 6289 | 6453 | 6101 | 6551 | 6455 | 6597 | 6444 | 6658 | 6524 | 6422 | 6430 | 6461 | 6373 | 6485 | 6289 | 6640 | 6672 | 6607 | 6598 | 6835 | 6917 | 7138 | 6860 | 7262 | 7282 | 7415 | 7588 | 7723 | 7711 | 7935 | 8590 |
[A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D23.SO.SO.NOMBRE.BRUT.FALSE] | 2583 | 2501 | 2355 | 2471 | 2453 | 2311 | 2519 | 2345 | 2395 | 2298 | 2327 | 2383 | 2295 | 2188 | 2202 | 2245 | 2069 | 2156 | 2171 | 2088 | 1946 | 2002 | 2050 | 2062 | 2041 | 2015 | 1959 | 1936 | 2046 | 1907 | 1862 | 1883 | 1934 | 1860 | 1996 | 1882 | 1949 | 1929 | 1881 | 1866 | 1984 | 1976 | 1985 | 1939 | 1956 | 2013 | 2006 | 2122 |
[A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D24.SO.SO.NOMBRE.BRUT.FALSE] | 5369 | 5218 | 5004 | 5091 | 5113 | 5075 | 5226 | 5045 | 5214 | 4960 | 5199 | 4983 | 4925 | 4854 | 4935 | 4936 | 4760 | 4824 | 5040 | 4923 | 4971 | 4929 | 5027 | 5107 | 4974 | 4933 | 4960 | 5113 | 5274 | 4896 | 4912 | 4911 | 4951 | 4918 | 5109 | 5238 | 4865 | 5273 | 5266 | 5241 | 5492 | 5592 | 5651 | 5598 | 5578 | 5597 | 6231 | 6292 |
[A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D25.SO.SO.NOMBRE.BRUT.FALSE] | 3729 | 3492 | 3761 | 3779 | 3647 | 3755 | 3827 | 3715 | 3800 | 3628 | 3706 | 3818 | 3650 | 3554 | 3860 | 3755 | 3598 | 3690 | 3836 | 3740 | 3801 | 3967 | 3837 | 3831 | 3969 | 3990 | 3926 | 3887 | 4083 | 3841 | 4008 | 4012 | 3888 | 4028 | 4077 | 4050 | 4146 | 4305 | 4182 | 4296 | 4442 | 4466 | 4629 | 4827 | 4721 | 5425 | 4933 | 5220 |
[A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D26.SO.SO.NOMBRE.BRUT.FALSE] | 3906 | 3896 | 3798 | 3718 | 3729 | 3831 | 3871 | 3889 | 3857 | 3679 | 3964 | 3848 | 3723 | 3751 | 3750 | 3866 | 3688 | 3649 | 3852 | 3844 | 3954 | 4010 | 4012 | 4002 | 4067 | 3999 | 4166 | 4042 | 4190 | 3894 | 3936 | 3822 | 3982 | 4089 | 4212 | 4102 | 4234 | 4358 | 4419 | 4388 | 4523 | 4623 | 4809 | 4888 | 4963 | 5291 | 5223 | 5401 |
[A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D27.SO.SO.NOMBRE.BRUT.FALSE] | 4252 | 4315 | 4249 | 4179 | 4225 | 4132 | 4412 | 4236 | 4476 | 4429 | 4474 | 4524 | 4361 | 4246 | 4456 | 4348 | 4272 | 4407 | 4520 | 4505 | 4682 | 4720 | 4680 | 4741 | 4734 | 4744 | 4864 | 4960 | 5034 | 4714 | 4851 | 4699 | 4835 | 4912 | 5060 | 4992 | 4893 | 5218 | 5236 | 5201 | 5271 | 5321 | 5490 | 5584 | 5714 | 6233 | 5979 | 6125 |
[A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D28.SO.SO.NOMBRE.BRUT.FALSE] | 3551 | 3533 | 3309 | 3440 | 3300 | 3540 | 3423 | 3357 | 3574 | 3467 | 3534 | 3533 | 3307 | 3432 | 3424 | 3516 | 3454 | 3550 | 3685 | 3514 | 3729 | 3739 | 3595 | 3712 | 3789 | 3677 | 3759 | 3629 | 3884 | 3497 | 3724 | 3627 | 3572 | 3779 | 3752 | 3812 | 3673 | 3944 | 3865 | 3646 | 3969 | 4235 | 4052 | 4171 | 4267 | 4491 | 4562 | 4589 |
[A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D29.SO.SO.NOMBRE.BRUT.FALSE] | 9878 | 9846 | 9548 | 9586 | 9721 | 9930 | 9882 | 9635 | 10189 | 9896 | 9926 | 10106 | 9619 | 9293 | 9061 | 9443 | 9243 | 9224 | 9629 | 9389 | 9641 | 9784 | 9785 | 9391 | 9803 | 9437 | 9595 | 9598 | 9621 | 9151 | 9399 | 9389 | 9410 | 9457 | 9633 | 9818 | 9562 | 10144 | 9844 | 9545 | 10154 | 10464 | 10462 | 10662 | 10229 | 10529 | 10770 | 11480 |
[A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D2A.SO.SO.NOMBRE.BRUT.FALSE] | NA | NA | 1211 | 1331 | 1186 | 1166 | 1294 | 1281 | 1326 | 1260 | 1250 | 1385 | 1322 | 1328 | 1250 | 1315 | 1288 | 1360 | 1347 | 1307 | 1290 | 1279 | 1226 | 1282 | 1247 | 1254 | 1259 | 1390 | 1274 | 1313 | 1273 | 1283 | 1264 | 1335 | 1384 | 1318 | 1444 | 1363 | 1421 | 1469 | 1471 | 1464 | 1456 | 1502 | 1514 | 1664 | 1689 | 1795 |
Showing results 21 - 30 / 1,889