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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 | 1022643 |
| Téléchargements | 228485 |
- 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
{RHA1} Pension du travail: Montant (Milliers Fcfa)
(EMP_RHA1M)
Fichier: REMP
Fichier: REMP
Aperçu
Type:
Discrète Format: numeric Largeur: 8 Décimales: 0 Intervalle: -7-22222222 | Enregistrements valides: 402 Invalide: 140110 Minimum: -7 Maximum: 22222222 |
Catégories
| Valeur | Catégorie | Enregistrements | |
|---|---|---|---|
| -7 | NSP | 56 |  13.9%
|
| 0 | Rien | 6 | 1.5%
|
| 1 | 4 | 1.0%
| |
| 2 | 4 | 1.0%
| |
| 3 | 3 | 0.7%
| |
| 5 | 3 | 0.7%
| |
| 6 | 1 | 0.2%
| |
| 7 | 3 | 0.7%
| |
| 10 | 6 | 1.5%
| |
| 11 | 1 | 0.2%
| |
| 12 | 1 | 0.2%
| |
| 14 | 2 | 0.5%
| |
| 15 | 4 | 1.0%
| |
| 17 | 1 | 0.2%
| |
| 20 | 2 | 0.5%
| |
| 25 | 2 | 0.5%
| |
| 26 | 1 | 0.2%
| |
| 27 | 1 | 0.2%
| |
| 28 | 1 | 0.2%
| |
| 30 | 8 | 2.0%
| |
| 31 | 1 | 0.2%
| |
| 32 | 1 | 0.2%
| |
| 33 | 2 | 0.5%
| |
| 34 | 1 | 0.2%
| |
| 35 | 2 | 0.5%
| |
| 37 | 1 | 0.2%
| |
| 38 | 1 | 0.2%
| |
| 39 | 1 | 0.2%
| |
| 40 | 9 | 2.2%
| |
| 41 | 1 | 0.2%
| |
| 42 | 2 | 0.5%
| |
| 44 | 2 | 0.5%
| |
| 45 | 10 | 2.5%
| |
| 47 | 1 | 0.2%
| |
| 50 | 19 | 4.7%
| |
| 52 | 3 | 0.7%
| |
| 54 | 1 | 0.2%
| |
| 56 | 2 | 0.5%
| |
| 59 | 1 | 0.2%
| |
| 60 | 10 | 2.5%
| |
| 61 | 1 | 0.2%
| |
| 62 | 1 | 0.2%
| |
| 63 | 1 | 0.2%
| |
| 65 | 1 | 0.2%
| |
| 66 | 2 | 0.5%
| |
| 68 | 1 | 0.2%
| |
| 69 | 1 | 0.2%
| |
| 70 | 5 | 1.2%
| |
| 72 | 1 | 0.2%
| |
| 75 | 4 | 1.0%
| |
| 78 | 1 | 0.2%
| |
| 80 | 12 | 3.0%
| |
| 82 | 2 | 0.5%
| |
| 83 | 1 | 0.2%
| |
| 85 | 3 | 0.7%
| |
| 89 | 1 | 0.2%
| |
| 90 | 13 | 3.2%
| |
| 91 | 1 | 0.2%
| |
| 92 | 1 | 0.2%
| |
| 95 | 1 | 0.2%
| |
| 97 | 1 | 0.2%
| |
| 98 | 1 | 0.2%
| |
| 100 | 19 | 4.7%
| |
| 102 | 2 | 0.5%
| |
| 105 | 1 | 0.2%
| |
| 110 | 3 | 0.7%
| |
| 114 | 2 | 0.5%
| |
| 115 | 2 | 0.5%
| |
| 118 | 1 | 0.2%
| |
| 120 | 13 | 3.2%
| |
| 123 | 1 | 0.2%
| |
| 124 | 1 | 0.2%
| |
| 125 | 1 | 0.2%
| |
| 130 | 2 | 0.5%
| |
| 140 | 1 | 0.2%
| |
| 143 | 1 | 0.2%
| |
| 148 | 1 | 0.2%
| |
| 149 | 1 | 0.2%
| |
| 150 | 14 | 3.5%
| |
| 153 | 1 | 0.2%
| |
| 154 | 1 | 0.2%
| |
| 155 | 1 | 0.2%
| |
| 159 | 2 | 0.5%
| |
| 160 | 1 | 0.2%
| |
| 165 | 1 | 0.2%
| |
| 170 | 2 | 0.5%
| |
| 174 | 1 | 0.2%
| |
| 175 | 2 | 0.5%
| |
| 180 | 3 | 0.7%
| |
| 184 | 1 | 0.2%
| |
| 185 | 2 | 0.5%
| |
| 197 | 1 | 0.2%
| |
| 198 | 1 | 0.2%
| |
| 199 | 1 | 0.2%
| |
| 200 | 17 | 4.2%
| |
| 204 | 1 | 0.2%
| |
| 205 | 1 | 0.2%
| |
| 208 | 2 | 0.5%
| |
| 230 | 1 | 0.2%
| |
| 250 | 3 | 0.7%
| |
| 260 | 1 | 0.2%
| |
| 285 | 1 | 0.2%
| |
| 300 | 6 | 1.5%
| |
| 308 | 1 | 0.2%
| |
| 320 | 1 | 0.2%
| |
| 400 | 1 | 0.2%
| |
| 1000 | 1 | 0.2%
| |
| 1075 | 1 | 0.2%
| |
| 1500 | 2 | 0.5%
| |
| 2600 | 1 | 0.2%
| |
| 3000 | 1 | 0.2%
| |
| 4000 | 1 | 0.2%
| |
| 5000 | 1 | 0.2%
| |
| 10000 | 1 | 0.2%
| |
| 15000 | 1 | 0.2%
| |
| 18000 | 1 | 0.2%
| |
| 23000 | 1 | 0.2%
| |
| 30000 | 1 | 0.2%
| |
| 31700 | 1 | 0.2%
| |
| 40000 | 2 | 0.5%
| |
| 44000 | 1 | 0.2%
| |
| 45000 | 2 | 0.5%
| |
| 50000 | 2 | 0.5%
| |
| 55500 | 1 | 0.2%
| |
| 60000 | 2 | 0.5%
| |
| 70000 | 1 | 0.2%
| |
| 74000 | 1 | 0.2%
| |
| 81900 | 1 | 0.2%
| |
| 90000 | 1 | 0.2%
| |
| 105000 | 1 | 0.2%
| |
| 120000 | 1 | 0.2%
| |
| 140000 | 1 | 0.2%
| |
| 149000 | 1 | 0.2%
| |
| 150000 | 1 | 0.2%
| |
| 185400 | 1 | 0.2%
| |
| 194100 | 1 | 0.2%
| |
| 200000 | 2 | 0.5%
| |
| 310000 | 1 | 0.2%
| |
| 400000 | 1 | 0.2%
| |
| 700000 | 1 | 0.2%
| |
| 979800 | 1 | 0.2%
| |
| 22222222 | 1 | 0.2%
| |
| Sysmiss | 140110 |
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.