[TCRED-SALAIRES-REVENUS-TNB] Number and rate of beneficiaries of various social-security benefits
Updated by provider on December 14, 2023 (12:00 AM).
[FREQ] Frequency
- [A] Annual
[INDICATEUR] Indicator
- [ACCUEIL_JEUNE_ENFANT] Early childhood benefit
- [AIDE_LOGEMENT] Individualised housing assistance
- [ALLOCATIONS_FAMILIALES] Family allowances
- [CMU_COMPLEMENTAIRE_NOMBRE_ALLOCATAIRES] Complementary universal health coverage (CMU-C) - Number of beneficiaries
- [CMU_COMPLEMENTAIRE_TAUX_COUVERTURE] Complementary universal health coverage (CMU-C) - Rate of coverage
- [PRIME_ACTIVITE] Employement bonus
- [REVENU_SOLIDARITE_ACTIVE] Active solidarity income
[NATURE] Nature
- [RATIO] Ratio
- [VALEUR_ABSOLUE] Absolute value
[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
- [NOMBRE] number
- [POUR_1000_ENFANTS] for 1,000 children of less than 3 years
- [POUR_1000_MENAGES] for 1,000 households
- [POUR_100_HABITANTS] proportion for 100 inhabitants
[CORRECTION] Correction
- [BRUT] Uncorrected
[SERIE_ARRETEE] Stopped series
- [FALSE] nO
- [TRUE] yes
Search filters
Frequency [FREQ] (1)
Indicator [INDICATEUR] (7)
Nature [NATURE] (2)
Reference area [REF_AREA] (117)
Unit [UNIT_MEASURE] (4)
Correction [CORRECTION] (1)
Stopped series [SERIE_ARRETEE] (2)
This dataset has 1,275 series:
- from
- 2012=720.3
- to
- 2015=683.4
- min:
- 683.4
- max:
- 720.3
- avg:
- 701.95
- σ:
- 13.049
- from
- 2012=839.5
- to
- 2015=821.3
- min:
- 821.3
- max:
- 839.5
- avg:
- 831.05
- σ:
- 7.475
- from
- 2012=862.3
- to
- 2015=819.8
- min:
- 819.8
- max:
- 862.3
- avg:
- 845.95
- σ:
- 15.808
- from
- 2012=858.3
- to
- 2015=873.4
- min:
- 858.3
- max:
- 873.4
- avg:
- 866.25
- σ:
- 6.283
- from
- 2012=870.8
- to
- 2015=845
- min:
- 845
- max:
- 870.8
- avg:
- 854.925
- σ:
- 9.763
- from
- 2012=784
- to
- 2015=789.6
- min:
- 783.1
- max:
- 797.6
- avg:
- 788.575
- σ:
- 5.775
- from
- 2012=847.4
- to
- 2015=841.9
- min:
- 841.9
- max:
- 848.3
- avg:
- 846.4
- σ:
- 2.618
- from
- 2012=804.9
- to
- 2015=782.4
- min:
- 782.4
- max:
- 804.9
- avg:
- 794.925
- σ:
- 8.248
- from
- 2012=854.4
- to
- 2015=819.6
- min:
- 819.6
- max:
- 854.4
- avg:
- 831.325
- σ:
- 13.551
- from
- 2012=836.5
- to
- 2015=794.5
- min:
- 794.5
- max:
- 836.5
- avg:
- 811.425
- σ:
- 17.843
Series code | 2012 | 2013 | 2014 | 2015 |
---|---|---|---|---|
[A.ACCUEIL_JEUNE_ENFANT.RATIO.D01.POUR_1000_ENFANTS.BRUT.FALSE] | 720.3 | 702.4 | 701.7 | 683.4 |
[A.ACCUEIL_JEUNE_ENFANT.RATIO.D02.POUR_1000_ENFANTS.BRUT.FALSE] | 839.5 | 837 | 826.4 | 821.3 |
[A.ACCUEIL_JEUNE_ENFANT.RATIO.D03.POUR_1000_ENFANTS.BRUT.FALSE] | 862.3 | 850.4 | 851.3 | 819.8 |
[A.ACCUEIL_JEUNE_ENFANT.RATIO.D04.POUR_1000_ENFANTS.BRUT.FALSE] | 858.3 | 871.3 | 862 | 873.4 |
[A.ACCUEIL_JEUNE_ENFANT.RATIO.D05.POUR_1000_ENFANTS.BRUT.FALSE] | 870.8 | 854.5 | 849.4 | 845 |
[A.ACCUEIL_JEUNE_ENFANT.RATIO.D06.POUR_1000_ENFANTS.BRUT.FALSE] | 784 | 783.1 | 797.6 | 789.6 |
[A.ACCUEIL_JEUNE_ENFANT.RATIO.D07.POUR_1000_ENFANTS.BRUT.FALSE] | 847.4 | 848.3 | 848 | 841.9 |
[A.ACCUEIL_JEUNE_ENFANT.RATIO.D08.POUR_1000_ENFANTS.BRUT.FALSE] | 804.9 | 798.7 | 793.7 | 782.4 |
[A.ACCUEIL_JEUNE_ENFANT.RATIO.D09.POUR_1000_ENFANTS.BRUT.FALSE] | 854.4 | 825.9 | 825.4 | 819.6 |
[A.ACCUEIL_JEUNE_ENFANT.RATIO.D10.POUR_1000_ENFANTS.BRUT.FALSE] | 836.5 | 820.1 | 794.6 | 794.5 |
Showing results 1 - 10 / 1,275