[TCRED-EMPLOI-31-DECEMBRE-BASE-2018] Employment on December 31 - 2018 base
Updated by provider on December 20, 2023 (12:00 AM).
[FREQ] Frequency
- [A] Annual
[INDICATEUR] Indicator
- [EMPLOI_31_DECEMBRE] Employment on December 31
[NAF2_RGP] Business line
- [AZ] Agriculture
- [BE] Industry
- [FZ] Construction
- [GU] Market tertiary sector
- [OQ] Non-market tertiary sector
- [TOT] All sectors
[NATURE] Nature
- [VALEUR_ABSOLUE] Absolute value
[CAT_POP_ACT] Labour force by category
- [NSAL] Non-salaried
- [SAL] Employees
- [TOT] All items
[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
- [FM] Metropolitan France
- [FR-D976] France excluding Mayotte
- [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
- [INDIVIDUS] individuals
[CORRECTION] Correction
- [BRUT] Uncorrected
[BASIND] Base period
- [2018] 2018
[SERIE_ARRETEE] Stopped series
- [FALSE] nO
Search filters
Frequency [FREQ] (1)
Indicator [INDICATEUR] (1)
Business line [NAF2_RGP] (6)
Nature [NATURE] (1)
Labour force by category [CAT_POP_ACT] (3)
Reference area [REF_AREA] (115)
Unit [UNIT_MEASURE] (1)
Correction [CORRECTION] (1)
Base period [BASIND] (1)
Stopped series [SERIE_ARRETEE] (1)
This dataset has 2,070 series:
- min:
- 3,898
- max:
- 9,912
- avg:
- 5,534.941
- σ:
- 1,559.625
- min:
- 3,480
- max:
- 10,456
- avg:
- 5,575.029
- σ:
- 1,856.047
- min:
- 4,385
- max:
- 15,509
- avg:
- 7,964.529
- σ:
- 3,007.391
- min:
- 4,978
- max:
- 16,359
- avg:
- 8,922.735
- σ:
- 3,217.097
- min:
- 4,974
- max:
- 10,474
- avg:
- 6,626.118
- σ:
- 1,411.463
- min:
- 7,565
- max:
- 27,010
- avg:
- 13,240.971
- σ:
- 4,950.815
- min:
- 2,979
- max:
- 9,099
- avg:
- 4,868.441
- σ:
- 1,572.244
- min:
- 3,016
- max:
- 9,343
- avg:
- 4,940.471
- σ:
- 1,609.384
- min:
- 3,879
- max:
- 10,016
- avg:
- 5,603.176
- σ:
- 1,673.573
Series code | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.EMPLOI_31_DECEMBRE.AZ.VALEUR_ABSOLUE.NSAL.D30.INDIVIDUS.BRUT.2018.FALSE] | 9912 | 9174 | 8504 | 7924 | 7420 | 7117 | 6729 | 6421 | 6201 | 5859 | 5820 | 5728 | 5700 | 5659 | 5550 | 5708 | 5126 | 5014 | 4871 | 4792 | 4625 | 4525 | 4501 | 4408 | 4434 | 4278 | 4159 | 4141 | 4127 | 4056 | 3974 | 3922 | 3911 | 3898 |
[A.EMPLOI_31_DECEMBRE.AZ.VALEUR_ABSOLUE.NSAL.D31.INDIVIDUS.BRUT.2018.FALSE] | 10456 | 9720 | 9136 | 8818 | 8104 | 7657 | 7168 | 6799 | 6447 | 6088 | 5806 | 5626 | 5575 | 5365 | 5264 | 5315 | 5142 | 4978 | 4844 | 4786 | 4576 | 4493 | 4453 | 4384 | 4348 | 4148 | 3981 | 4026 | 3930 | 3843 | 3723 | 3557 | 3515 | 3480 |
[A.EMPLOI_31_DECEMBRE.AZ.VALEUR_ABSOLUE.NSAL.D32.INDIVIDUS.BRUT.2018.FALSE] | 15509 | 14565 | 13852 | 13035 | 11947 | 11392 | 10565 | 9892 | 9386 | 9034 | 8694 | 8451 | 8387 | 8096 | 7746 | 7554 | 7293 | 6980 | 6662 | 6494 | 6262 | 6103 | 5999 | 5885 | 5912 | 5666 | 5459 | 5388 | 5208 | 5075 | 4795 | 4635 | 4488 | 4385 |
[A.EMPLOI_31_DECEMBRE.AZ.VALEUR_ABSOLUE.NSAL.D33.INDIVIDUS.BRUT.2018.FALSE] | 16359 | 15621 | 14704 | 13800 | 12889 | 12501 | 11975 | 11504 | 11017 | 10594 | 10077 | 10113 | 10056 | 9825 | 9426 | 9499 | 7905 | 7637 | 7284 | 7239 | 6963 | 6809 | 6671 | 6523 | 6453 | 6160 | 5993 | 5889 | 5702 | 5569 | 5375 | 5192 | 5071 | 4978 |
[A.EMPLOI_31_DECEMBRE.AZ.VALEUR_ABSOLUE.NSAL.D34.INDIVIDUS.BRUT.2018.FALSE] | 10474 | 9785 | 9319 | 8812 | 7998 | 7621 | 7499 | 7237 | 7461 | 7372 | 7228 | 7146 | 7101 | 7048 | 6896 | 6793 | 6265 | 6199 | 6042 | 6036 | 5775 | 5699 | 5537 | 5488 | 5569 | 5457 | 5406 | 5348 | 5300 | 5263 | 5161 | 5000 | 4979 | 4974 |
[A.EMPLOI_31_DECEMBRE.AZ.VALEUR_ABSOLUE.NSAL.D35.INDIVIDUS.BRUT.2018.FALSE] | 27010 | 25152 | 23143 | 21526 | 19705 | 18229 | 16828 | 15796 | 14882 | 14098 | 13584 | 13355 | 13317 | 12934 | 12436 | 12224 | 11983 | 11513 | 10995 | 10885 | 10727 | 10579 | 10458 | 10230 | 10084 | 9780 | 9550 | 9324 | 9056 | 8828 | 8480 | 8124 | 7813 | 7565 |
[A.EMPLOI_31_DECEMBRE.AZ.VALEUR_ABSOLUE.NSAL.D36.INDIVIDUS.BRUT.2018.FALSE] | 9099 | 8484 | 7983 | 7498 | 6788 | 6463 | 6089 | 5741 | 5525 | 5280 | 5162 | 5072 | 5006 | 4872 | 4737 | 4690 | 4624 | 4492 | 4164 | 4107 | 4006 | 3928 | 3850 | 3809 | 3813 | 3725 | 3611 | 3555 | 3494 | 3411 | 3258 | 3154 | 3058 | 2979 |
[A.EMPLOI_31_DECEMBRE.AZ.VALEUR_ABSOLUE.NSAL.D37.INDIVIDUS.BRUT.2018.FALSE] | 9343 | 8634 | 8114 | 7559 | 7035 | 6623 | 6059 | 5868 | 5523 | 5275 | 5199 | 5061 | 5045 | 4923 | 4796 | 4766 | 4715 | 4571 | 4261 | 4223 | 4125 | 4041 | 3987 | 3933 | 3902 | 3766 | 3655 | 3573 | 3471 | 3397 | 3283 | 3151 | 3083 | 3016 |
[A.EMPLOI_31_DECEMBRE.AZ.VALEUR_ABSOLUE.NSAL.D38.INDIVIDUS.BRUT.2018.FALSE] | 10016 | 9393 | 9006 | 8465 | 7847 | 7415 | 6992 | 6658 | 6390 | 6103 | 5907 | 5728 | 5633 | 5485 | 5329 | 5266 | 5135 | 4852 | 4810 | 4705 | 4628 | 4549 | 4513 | 4442 | 4484 | 4363 | 4260 | 4208 | 4136 | 4103 | 4019 | 3889 | 3900 | 3879 |
[A.EMPLOI_31_DECEMBRE.AZ.VALEUR_ABSOLUE.NSAL.D39.INDIVIDUS.BRUT.2018.FALSE] | 6130 | 5628 | 5183 | 4815 | 4639 | 4408 | 4123 | 3903 | 3716 | 3501 | 3436 | 3364 | 3349 | 3268 | 3163 | 3135 | 3080 | 3019 | 2934 | 2907 | 2892 | 2872 | 2868 | 2863 | 2845 | 2795 | 2761 | 2755 | 2730 | 2708 | 2654 | 2587 | 2599 | 2601 |
Showing results 31 - 40 / 2,070