Death and mortality [DECES-MORTALITE]

Documentation on provider website

Updated by provider on March 29, 2024 (12:00 AM)

Frequency [FREQ]
Indicator [INDICATEUR]
Nature [NATURE]
Catalog of demographic indicators [DEMOGRAPHIE]
Reference area [REF_AREA]
Gender [SEXE]
Age [AGE]
Unit [UNIT_MEASURE]
Correction [CORRECTION]
Stopped series [SERIE_ARRETEE]

Dataset has 1,889 series. Add search filters to narrow them.

Series code 197519761977197819791980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D10.SO.SO.NOMBRE.BRUT.FALSE 3132 3161 3045 3169 3011 3106 3127 3015 3161 3104 3031 3152 2924 2836 2936 2838 2918 2784 2967 2821 2993 3053 2804 2882 3000 2847 2790 2934 2996 2660 2893 2863 2807 2925 2914 2902 2877 3005 3066 2973 3140 3195 3176 3218 3275 3492 3452 3397
A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D11.SO.SO.NOMBRE.BRUT.FALSE 3652 3740 3550 3780 3552 3656 3719 3633 3715 3801 3807 3685 3604 3567 3550 3606 3663 3577 3567 3571 3641 3703 3616 3692 3792 3645 3760 3775 3760 3552 3748 3677 3755 3727 3818 3887 3866 4173 4017 4016 4184 4401 4381 4546 4331 4655 4883 4947
A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D12.SO.SO.NOMBRE.BRUT.FALSE 3655 3627 3508 3500 3510 3368 3485 3494 3477 3436 3550 3348 3316 3331 3292 3354 3270 3155 3246 3241 3304 3318 3283 3448 3311 3208 3235 3305 3463 3011 3335 3156 3107 3270 3193 3339 3264 3455 3443 3267 3515 3528 3612 3409 3452 3626 3666 3840
A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D13.SO.SO.NOMBRE.BRUT.FALSE 16238 16297 15933 16227 16500 16470 17199 16582 17036 16649 16825 16567 16343 16455 16538 16464 16458 16394 16414 16166 16403 16379 16221 16704 16891 16736 16271 16692 17335 15826 16472 15913 16337 16481 16558 16454 16491 17240 17069 16767 17897 17686 18311 18166 18394 20785 20892 20309
A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D14.SO.SO.NOMBRE.BRUT.FALSE 5366 5124 5068 5293 5110 5237 5264 5229 5508 5306 5358 5404 5164 5125 5354 5168 5343 5217 5404 5291 5402 5505 5588 5595 5611 5682 5524 5653 5706 5577 5845 5631 5800 5800 5986 5963 5996 6395 6394 6194 6706 6725 6923 6973 7063 7363 7570 7967
A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D15.SO.SO.NOMBRE.BRUT.FALSE 2209 2226 2009 2125 2052 2200 2108 2028 2076 2147 2185 1972 1893 1983 1861 1924 1979 1914 1943 1926 1872 1926 1902 1902 1915 1868 1993 1859 1855 1853 1871 1818 1871 1881 1885 1941 1919 2059 1968 1973 2049 2035 2217 2062 2058 2138 2211 2186
A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D16.SO.SO.NOMBRE.BRUT.FALSE 4143 3864 3631 3620 3797 3866 3966 3738 4002 3857 3917 3891 3819 3792 3722 3708 3707 3680 3606 3667 3682 3839 3763 3819 3738 3673 3857 3790 3857 3603 3693 3663 3495 3692 3927 3765 3799 3963 3959 3735 4157 4103 4191 4233 4324 4284 4485 4667
A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D17.SO.SO.NOMBRE.BRUT.FALSE 5934 5719 5622 5590 5605 5729 5835 5648 5899 5739 5911 5819 5689 5691 5703 5795 5804 5856 5871 5858 5929 6159 6089 6234 6482 6374 6413 6465 6575 6301 6527 6371 6576 6666 6794 6861 6743 7144 7472 7124 7612 7673 7944 7923 7972 8204 8689 9177
A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D18.SO.SO.NOMBRE.BRUT.FALSE 4188 4117 4015 3973 3884 3910 3924 3802 3936 3893 3901 3967 3755 3616 3869 3609 3524 3606 3668 3619 3718 3641 3652 3649 3824 3724 3582 3742 3967 3501 3649 3500 3563 3618 3539 3597 3481 3672 3597 3526 3721 3815 3725 3881 3912 4179 4153 4070
A.DECES_DOMICILIES.VALEUR_ABSOLUE.DECES-DOM.D19.SO.SO.NOMBRE.BRUT.FALSE 3436 3257 3286 3366 3323 3369 3494 3322 3430 3242 3383 3272 3137 3140 3097 3123 3079 2995 2979 2961 3055 3142 3089 3116 3005 3065 2912 3096 3031 2836 3025 2810 2919 3048 3040 3159 3104 3099 3161 3046 3155 3191 3135 3179 3243 3183 3353 3388
Dimension codes and labels
[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
Technical links