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Bénin - Enquête Modulaire Intégrée sur les Conditions de Vie des Ménages 2015
| ID de référence | DDI-BEN-INS-EMICoV-2015-V1.0 |
| Année | 2015 |
| Pays | Bénin |
| Producteur(s) | Institut National de la Statique et de l'Analyse Economique - Ministère du Plan et du Développement |
| Bailleur(s) | Budget National - - Appui logistique et financier |
| Collection(s) | |
| Métadonnées |
 Documentation au format PDF
|
| Créé le | Dec 15, 2019 |
| Dernière modification | Dec 17, 2019 |
| Affichage par page | 998943 |
| Téléchargements | 228202 |
- Informations connexes
- Description de l'enquête
- Dictionnaire de données
- Charger les microdonnées
- related_citations
- REET0
- REET1
- REET2
- REMP
- Perception_HH
- RFON1
- RFON2
- RFON2_final
- RFON3
- RFON3A
- RFON4
- INSAE_EMICoV_RDEM_20
15 - INSAE_EMICoVRSEC_201
5 - INSAE_EMICoV_RCFA_cr
edit_2016 - INSAE_EMICoV_RCFBX_e
pargne_2016 - INSAE_EMICoV_RCFC_To
ntine_2016 - INSAE_EMICoV_Consomm
ation_2016 - INSAE_EMICoV_Individ
u_2016 - INSAE_EMICoV_menage_
2016 - RDEP
- RM00
- RM00_2
- RM00X
- RM01A
- RM01B
- RM03
- RM04A
- RM04B
- RM10
- RM11
- RM12
- RM12A
- RM13
- RM13A
- RM14
- RM14A
- RM15
- RM15A
- RM16
- RM16A
- RM17
- RM17A
- RM18
- RM18A
- RM19
- RM19A
- RM20
- RM20A
- RM21
- RM21A
- RM22
- RM23
- RM24
- RM24X
- RMAL
- RMCO
- RMCO_2
- RMEL
- RMFE
- RMPRS
- RSAL1
- RSAL2
- RSAL3
- RSAL4
- RSTA
{CFB8} B-Épargne/Montant des retraits, 12 derniers mois (Milliers Fcfa)
(CFB8)
Fichier: INSAE_EMICoV_RCFBX_epargne_2016
Fichier: INSAE_EMICoV_RCFBX_epargne_2016
Aperçu
Type:
Discrète Format: numeric Largeur: 8 Décimales: 0 Intervalle: -7-48700 | Enregistrements valides: 1096 Invalide: 6 Minimum: -7 Maximum: 48700 |
Catégories
| Valeur | Catégorie | Enregistrements | |
|---|---|---|---|
| -7 | NSP | 231 |  21.1%
|
| 0 | Rien | 373 | 34.0%
|
| 1 | 1 | 0.1%
| |
| 2 | 1 | 0.1%
| |
| 7 | 5 | 0.5%
| |
| 9 | 1 | 0.1%
| |
| 10 | 8 | 0.7%
| |
| 12 | 2 | 0.2%
| |
| 15 | 1 | 0.1%
| |
| 20 | 17 | 1.6%
| |
| 24 | 1 | 0.1%
| |
| 25 | 5 | 0.5%
| |
| 26 | 1 | 0.1%
| |
| 30 | 19 | 1.7%
| |
| 35 | 2 | 0.2%
| |
| 36 | 1 | 0.1%
| |
| 40 | 9 | 0.8%
| |
| 43 | 1 | 0.1%
| |
| 45 | 5 | 0.5%
| |
| 50 | 43 | 3.9%
| |
| 54 | 1 | 0.1%
| |
| 55 | 2 | 0.2%
| |
| 60 | 15 | 1.4%
| |
| 64 | 1 | 0.1%
| |
| 65 | 4 | 0.4%
| |
| 70 | 8 | 0.7%
| |
| 75 | 4 | 0.4%
| |
| 78 | 1 | 0.1%
| |
| 79 | 1 | 0.1%
| |
| 80 | 16 | 1.5%
| |
| 81 | 1 | 0.1%
| |
| 84 | 1 | 0.1%
| |
| 85 | 2 | 0.2%
| |
| 87 | 1 | 0.1%
| |
| 90 | 4 | 0.4%
| |
| 100 | 46 | 4.2%
| |
| 105 | 1 | 0.1%
| |
| 110 | 3 | 0.3%
| |
| 120 | 18 | 1.6%
| |
| 125 | 3 | 0.3%
| |
| 130 | 4 | 0.4%
| |
| 132 | 1 | 0.1%
| |
| 136 | 1 | 0.1%
| |
| 139 | 1 | 0.1%
| |
| 140 | 1 | 0.1%
| |
| 145 | 1 | 0.1%
| |
| 149 | 1 | 0.1%
| |
| 150 | 30 | 2.7%
| |
| 160 | 3 | 0.3%
| |
| 170 | 3 | 0.3%
| |
| 180 | 3 | 0.3%
| |
| 185 | 1 | 0.1%
| |
| 195 | 1 | 0.1%
| |
| 200 | 28 | 2.6%
| |
| 210 | 1 | 0.1%
| |
| 220 | 3 | 0.3%
| |
| 225 | 1 | 0.1%
| |
| 230 | 4 | 0.4%
| |
| 240 | 2 | 0.2%
| |
| 248 | 1 | 0.1%
| |
| 250 | 10 | 0.9%
| |
| 258 | 2 | 0.2%
| |
| 290 | 2 | 0.2%
| |
| 298 | 1 | 0.1%
| |
| 300 | 37 | 3.4%
| |
| 324 | 1 | 0.1%
| |
| 325 | 1 | 0.1%
| |
| 326 | 1 | 0.1%
| |
| 340 | 1 | 0.1%
| |
| 350 | 7 | 0.6%
| |
| 360 | 1 | 0.1%
| |
| 370 | 1 | 0.1%
| |
| 380 | 1 | 0.1%
| |
| 390 | 1 | 0.1%
| |
| 395 | 1 | 0.1%
| |
| 400 | 12 | 1.1%
| |
| 405 | 1 | 0.1%
| |
| 415 | 1 | 0.1%
| |
| 430 | 1 | 0.1%
| |
| 450 | 5 | 0.5%
| |
| 500 | 12 | 1.1%
| |
| 525 | 2 | 0.2%
| |
| 545 | 1 | 0.1%
| |
| 600 | 2 | 0.2%
| |
| 604 | 1 | 0.1%
| |
| 630 | 1 | 0.1%
| |
| 685 | 1 | 0.1%
| |
| 700 | 4 | 0.4%
| |
| 730 | 1 | 0.1%
| |
| 800 | 3 | 0.3%
| |
| 820 | 1 | 0.1%
| |
| 825 | 1 | 0.1%
| |
| 900 | 3 | 0.3%
| |
| 912 | 1 | 0.1%
| |
| 995 | 1 | 0.1%
| |
| 1000 | 5 | 0.5%
| |
| 1125 | 1 | 0.1%
| |
| 1200 | 3 | 0.3%
| |
| 1400 | 2 | 0.2%
| |
| 1500 | 1 | 0.1%
| |
| 2000 | 1 | 0.1%
| |
| 2245 | 1 | 0.1%
| |
| 2500 | 1 | 0.1%
| |
| 2995 | 1 | 0.1%
| |
| 3000 | 1 | 0.1%
| |
| 6000 | 1 | 0.1%
| |
| 8000 | 1 | 0.1%
| |
| 30000 | 1 | 0.1%
| |
| 40000 | 1 | 0.1%
| |
| 48700 | 1 | 0.1%
| |
| Sysmiss | 6 |
Avertissement: ces statistiques indiquent le nombre d'enregistrements trouvés dans les fichiers de données, et non des nombres pondérés. Ils ne peuvent pas être interpretés comme étant représentatifs de la population concernée.