[TCRED-SANTE-EQUIP-SPE] Equipment ratio by medical speciality

Name: Equipment ratio by medical speciality
Creator: DBnomics

Updated on DBnomics on April 4, 2022 (11:06 PM).

Documentation

[FREQ] Frequency

[A] Annual

[INDICATEUR] Indicator

[EQUIP_SPE] Ratio of equipment

[NATURE] Nature

[RATIO] Ratio

[SPECIALITE-SANTE] Medical speciality

[CH] Surgery
[GYN_OBS] Gynaecology-obstetrics
[M] Medicine

[REF_AREA] Reference area

[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
[FE] France
[FM] Metropolitan France
[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

[UNIT_MEASURE] Unit

[P100000] per 100,000 inhabitants

[CORRECTION] Correction

[BRUT] Uncorrected

[SERIE_ARRETEE] Stopped series

[FALSE] nO

Search filters

Frequency [FREQ] (1)

Indicator [INDICATEUR] (1)

Nature [NATURE] (1)

Medical speciality [SPECIALITE-SANTE] (3)

Reference area [REF_AREA] (117)

Unit [UNIT_MEASURE] (1)

Correction [CORRECTION] (1)

Stopped series [SERIE_ARRETEE] (1)

This dataset has 351 series:

Trim NA Values

Series code	2013	2014	2015	2016	2017	2018	2019	2020
[A.EQUIP_SPE.RATIO.CH.D22.P100000.BRUT.FALSE]	114	121	117	115	109	100	93	91
[A.EQUIP_SPE.RATIO.CH.D23.P100000.BRUT.FALSE]	119	100	98	97	97	86	79	74
[A.EQUIP_SPE.RATIO.CH.D24.P100000.BRUT.FALSE]	112	107	100	101	95	94	95	93
[A.EQUIP_SPE.RATIO.CH.D25.P100000.BRUT.FALSE]	169	168	173	161	146	124	111	109
[A.EQUIP_SPE.RATIO.CH.D26.P100000.BRUT.FALSE]	115	114	112	104	96	93	89	87
[A.EQUIP_SPE.RATIO.CH.D27.P100000.BRUT.FALSE]	60	57	57	57	55	53	54	54
[A.EQUIP_SPE.RATIO.CH.D28.P100000.BRUT.FALSE]	97	87	87	89	90	69	64	64
[A.EQUIP_SPE.RATIO.CH.D29.P100000.BRUT.FALSE]	152	147	143	138	132	128	119	115
[A.EQUIP_SPE.RATIO.CH.D2A.P100000.BRUT.FALSE]	157	118	128	119	117	113	113	112
[A.EQUIP_SPE.RATIO.CH.D2B.P100000.BRUT.FALSE]	133	161	132	143	132	123	95	120

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