Average annual wage income, by socioprofessional groups and gender [TCRED-SALAIRES-REVENUS-REV-SAL-SEXE-CS]

Documentation on provider website

Updated on DBnomics on June 23, 2022 (5:45 AM)

Frequency [FREQ]
Indicator [INDICATEUR]
Nature [NATURE]
Professions [METIER]
Reference area [REF_AREA]
Gender [SEXE]
Unit [UNIT_MEASURE]
Correction [CORRECTION]

Dataset has 819 series. Add search filters to narrow them.

Dimension codes and labels
[FREQ] Frequency
  • [A] Annual
[INDICATEUR] Indicator
  • [REVENU_SALARIAL_ANNUEL_MOYEN] Average annual wage income
[NATURE] Nature
  • [VALEUR_ABSOLUE] Absolute value
[METIER] Professions
  • [4] Technicians and associate professionals
  • [5] Employees
  • [6] Manual workers
  • [CCE] Managers, including employed business leaders
  • [SO] Not applicable
[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
  • [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
[UNIT_MEASURE] Unit
  • [EUROS] euros
[CORRECTION] Correction
  • [BRUT] Uncorrected
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