[TCRED-SALAIRES-REVENUS-RET-BEN] Pensioners and recipients of minimum old age
Updated by provider on February 24, 2025 (12:00 AM).
[FREQ] Frequency
- [A] Annual
[INDICATEUR] Indicators
- [NOMBRE_MINIMUM_VIEILLESSE] Number of beneficiaries of old age minimum
- [NOMBRE_RETRAITES_REGIME_GENERAL] Number of general scheme retired
- [PART_FEMMES_ISOLEES_MINIMUM_VIEILLESSE] Share of single women among the beneficiaries of old age minimum
- [PART_FEMMES_MINIMUM_VIEILLESSE] Share of women among the beneficiaries of old age minimum
- [PART_PERSONNES_ISOLEES_MINIMUM_VIEILLESSE] Share of isolated persons among the minimum pension beneficiaries
- [PART_RETRAITES_POPULATION_ACTIVE] Share of retired persons in the total population
- [TAUX_MINIMUM_VIEILLESSE_60_ANS] Rate of the minimum pension beneficiaries aged 60 years old or over
[NATURE] Nature
- [PROPORTION_POURCENTAGE] Proportion in %
- [RATIO] Ratio
- [VALEUR_ABSOLUE] Absolute value
[REF_AREA] Geographic areas
- [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
- [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
- [P1000] per thousand
- [POURCENT] %
[CORRECTION] Seasonal adjustment
- [BRUT] Uncorrected
[SERIE_ARRETEE] Stopped_series
- [FALSE] nO
- [TRUE] yes
Search filters
Frequency [FREQ] (1)
Indicators [INDICATEUR] (7)
Nature [NATURE] (3)
Geographic areas [REF_AREA] (116)
Unit [UNIT_MEASURE] (3)
Seasonal adjustment [CORRECTION] (1)
Stopped_series [SERIE_ARRETEE] (2)
This dataset has 812 series:
- from
- 2010=2,832
- to
- 2023=3,650
- min:
- 2,560
- max:
- 3,650
- avg:
- 2,913.571
- σ:
- 335.041
- from
- 2010=3,461
- to
- 2023=4,930
- min:
- 3,413
- max:
- 4,930
- avg:
- 3,860.071
- σ:
- 500.355
- from
- 2010=3,894
- to
- 2023=4,540
- min:
- 3,480
- max:
- 4,540
- avg:
- 3,949.786
- σ:
- 317.33
- from
- 2010=1,915
- to
- 2023=2,410
- min:
- 1,840
- max:
- 2,410
- avg:
- 2,000.714
- σ:
- 187.066
- from
- 2010=1,253
- to
- 2023=1,490
- min:
- 1,090
- max:
- 1,490
- avg:
- 1,248.429
- σ:
- 113.457
- from
- 2010=16,396
- to
- 2023=20,800
- min:
- 16,050
- max:
- 20,800
- avg:
- 17,470.571
- σ:
- 1,633.605
- from
- 2010=3,276
- to
- 2023=3,370
- min:
- 2,630
- max:
- 3,370
- avg:
- 3,042.571
- σ:
- 216.114
- from
- 2010=1,861
- to
- 2023=2,880
- min:
- 1,861
- max:
- 2,880
- avg:
- 2,171
- σ:
- 328.952
- from
- 2010=1,983
- to
- 2023=2,350
- min:
- 1,800
- max:
- 2,350
- avg:
- 1,998.357
- σ:
- 166.153
- from
- 2010=2,009
- to
- 2023=3,200
- min:
- 2,009
- max:
- 3,200
- avg:
- 2,431.286
- σ:
- 396.592
Series code | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.NOMBRE_MINIMUM_VIEILLESSE.VALEUR_ABSOLUE.D01.NOMBRE.BRUT.FALSE] | 2832 | 2798 | 2738 | 2712 | 2710 | 2650 | 2650 | 2560 | 2700 | 2830 | 3110 | 3330 | 3520 | 3650 |
[A.NOMBRE_MINIMUM_VIEILLESSE.VALEUR_ABSOLUE.D02.NOMBRE.BRUT.FALSE] | 3461 | 3464 | 3413 | 3453 | 3500 | 3560 | 3520 | 3570 | 3730 | 4020 | 4260 | 4480 | 4680 | 4930 |
[A.NOMBRE_MINIMUM_VIEILLESSE.VALEUR_ABSOLUE.D03.NOMBRE.BRUT.FALSE] | 3894 | 3906 | 3823 | 3774 | 3750 | 3690 | 3590 | 3480 | 3750 | 4060 | 4220 | 4370 | 4450 | 4540 |
[A.NOMBRE_MINIMUM_VIEILLESSE.VALEUR_ABSOLUE.D04.NOMBRE.BRUT.FALSE] | 1915 | 1925 | 1868 | 1862 | 1850 | 1850 | 1860 | 1840 | 1910 | 2030 | 2140 | 2240 | 2310 | 2410 |
[A.NOMBRE_MINIMUM_VIEILLESSE.VALEUR_ABSOLUE.D05.NOMBRE.BRUT.FALSE] | 1253 | 1257 | 1204 | 1174 | 1170 | 1150 | 1110 | 1090 | 1190 | 1270 | 1340 | 1360 | 1420 | 1490 |
[A.NOMBRE_MINIMUM_VIEILLESSE.VALEUR_ABSOLUE.D06.NOMBRE.BRUT.FALSE] | 16396 | 16437 | 16187 | 16098 | 16050 | 16320 | 16360 | 16340 | 16960 | 17880 | 18950 | 19590 | 20220 | 20800 |
[A.NOMBRE_MINIMUM_VIEILLESSE.VALEUR_ABSOLUE.D07.NOMBRE.BRUT.FALSE] | 3276 | 3206 | 3144 | 3080 | 2990 | 2910 | 2760 | 2630 | 2770 | 2900 | 3070 | 3190 | 3300 | 3370 |
[A.NOMBRE_MINIMUM_VIEILLESSE.VALEUR_ABSOLUE.D08.NOMBRE.BRUT.FALSE] | 1861 | 1910 | 1880 | 1883 | 1930 | 1960 | 1970 | 2000 | 2160 | 2300 | 2410 | 2520 | 2730 | 2880 |
[A.NOMBRE_MINIMUM_VIEILLESSE.VALEUR_ABSOLUE.D09.NOMBRE.BRUT.FALSE] | 1983 | 1921 | 1916 | 1907 | 1850 | 1870 | 1840 | 1800 | 1910 | 2030 | 2130 | 2220 | 2250 | 2350 |
[A.NOMBRE_MINIMUM_VIEILLESSE.VALEUR_ABSOLUE.D10.NOMBRE.BRUT.FALSE] | 2009 | 2042 | 2055 | 2082 | 2110 | 2210 | 2260 | 2280 | 2410 | 2610 | 2760 | 2920 | 3090 | 3200 |
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