Enquête Harmonisée sur le Conditions de Vie des Ménages, 2021-2022
Benin, 2021 - 2022
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Reference ID
BEN_2021_EHCVM-2_v01_M
Producer(s)
Institut National de la Statistique et de l’Analyse Économique (INSAE)
Collection(s)
Metadata
Created on
Aug 02, 2024
Last modified
Aug 02, 2024
Page views
156577
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- Data files
- s00_me_ben2021
- s01_me_ben2021
- s02_me_ben2021
- s03_me_ben2021
- s04a_me_ben2021
- s04b_me_ben2021
- s04c_me_ben2021
- s05_me_ben2021
- s06_me_ben2021
- s07a_1_me_ben2021
- s07a_2_me_ben2021
- s07b_me_ben2021
- s08a_me_ben2021
- s09a_me_ben2021
- s09b_me_ben2021
- s09c_me_ben2021
- s09d_me_ben2021
- s09e_me_ben2021
- s09f_me_ben2021
- s10a_me_ben2021
- s10b_me_ben2021
- s11_me_ben2021
- s12_me_ben2021
- s13_1_me_ben2021
- s13_2_me_ben2021
- s14a_me_ben2021
- s14b_me_ben2021
- s15_me_ben2021
- s16a_me_ben2021
- s16b_me_ben2021
- s16c_me_ben2021
- s16d_me_ben2021
- s17_me_ben2021
- s18_1_me_ben2021
- s18_2_me_ben2021
- s18_3_me_ben2021
- s19_me_ben2021
- s20a_me_ben2021
- s20b_1_me_ben2021
- s20b_2_me_ben2021
- s20b_3_me_ben2021
- s20c_me_ben2021
- s00_co_ben2021
- s01_co_ben2021
- s02_co_ben2021
- s03_co_ben2021
- s04_co_ben2021
- calorie_conversion_wa_2021
- ehcvm_conso_ben2021
- ehcvm_ihpc_ben2021
- ehcvm_individu_ben2021
- ehcvm_menage_ben2021
- ehcvm_nsu_ben2021
- ehcvm_nsu_com_ben2021
- ehcvm_nsu_dep_ben2021
- ehcvm_nsu_nat_ben2021
- ehcvm_panier2018_code2021
- ehcvm_ponderations_ben2021
- ehcvm_prix_ben2021
- ehcvm_welfare_ben2021
0.02.Préfecture/Arrondissement (s00q02)
Data file: ehcvm_nsu_com_ben2021
Overview
Valid:
19841
Invalid:
0
Minimum:
11
Maximum:
129
Type:
Discrete
Decimal:
0
Width:
6
Range:
11 - 129
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | BANIKOARA | 322 |
1.6%
|
| 12 | GOGOUNOU | 238 |
1.2%
|
| 13 | KANDI | 302 |
1.5%
|
| 14 | KARIMAMA | 139 |
0.7%
|
| 15 | MALANVILLE | 334 |
1.7%
|
| 16 | SÈGBANA | 210 |
1.1%
|
| 21 | BOUKOUMBÉ | 338 |
1.7%
|
| 22 | COBLY | 258 |
1.3%
|
| 23 | KÉROU | 265 |
1.3%
|
| 24 | KOUANDÉ | 214 |
1.1%
|
| 25 | MATÉRI | 323 |
1.6%
|
| 26 | NATITINGOU | 378 |
1.9%
|
| 27 | PEHUNCO | 203 |
1%
|
| 28 | TANGUIÉTA | 325 |
1.6%
|
| 29 | TOUCOUNTOUNA | 181 |
0.9%
|
| 31 | ABOMEY-CALAVI | 523 |
2.6%
|
| 32 | ALLADA | 319 |
1.6%
|
| 33 | KPOMASSÈ | 227 |
1.1%
|
| 34 | OUIDAH | 299 |
1.5%
|
| 35 | SO-AVA | 145 |
0.7%
|
| 36 | TOFFO | 254 |
1.3%
|
| 37 | TORI-BOSSITO | 235 |
1.2%
|
| 38 | ZÈ | 285 |
1.4%
|
| 41 | BEMBÈRÈKÈ | 297 |
1.5%
|
| 42 | KALALÉ | 267 |
1.3%
|
| 43 | N'DALI | 302 |
1.5%
|
| 44 | NIKKI | 272 |
1.4%
|
| 45 | PARAKOU | 302 |
1.5%
|
| 46 | PERERE | 128 |
0.6%
|
| 47 | SINENDÉ | 261 |
1.3%
|
| 48 | TCHAOUROU | 319 |
1.6%
|
| 51 | BANTÈ | 244 |
1.2%
|
| 52 | DASSA | 318 |
1.6%
|
| 53 | GLAZOUÉ | 272 |
1.4%
|
| 54 | OUÈSSÈ | 258 |
1.3%
|
| 55 | SAVALOU | 287 |
1.4%
|
| 56 | SAVÈ | 277 |
1.4%
|
| 61 | APLAHOUÉ | 252 |
1.3%
|
| 62 | DJAKOTOMEY | 239 |
1.2%
|
| 63 | DOGBO | 229 |
1.2%
|
| 64 | KLOUEKANMEY | 208 |
1%
|
| 65 | LALO | 163 |
0.8%
|
| 66 | TOVIKLIN | 206 |
1%
|
| 71 | BASSILA | 363 |
1.8%
|
| 72 | COPARGO | 219 |
1.1%
|
| 73 | DJOUGOU | 390 |
2%
|
| 74 | OUAKÉ | 250 |
1.3%
|
| 81 | COTONOU | 343 |
1.7%
|
| 91 | ATHIÉMÉ | 204 |
1%
|
| 92 | BOPA | 206 |
1%
|
| 93 | COME | 277 |
1.4%
|
| 94 | GRAND-POPO | 217 |
1.1%
|
| 95 | HOUÉYOGBÉ | 248 |
1.2%
|
| 96 | LOKOSSA | 280 |
1.4%
|
| 101 | ADJARRA | 219 |
1.1%
|
| 102 | ADJOHOUN | 275 |
1.4%
|
| 103 | AGUEGUES | 187 |
0.9%
|
| 104 | AKPRO-MISSÉRÉTÉ | 368 |
1.9%
|
| 105 | AVRANKOU | 285 |
1.4%
|
| 106 | BONOU | 261 |
1.3%
|
| 107 | DANGBO | 345 |
1.7%
|
| 108 | PORTO-NOVO | 263 |
1.3%
|
| 109 | SÈMÈ-KPODJI | 424 |
2.1%
|
| 111 | ADJA-OUÈRÈ | 220 |
1.1%
|
| 112 | IFANGNI | 224 |
1.1%
|
| 113 | KÉTOU | 229 |
1.2%
|
| 114 | POBE | 232 |
1.2%
|
| 115 | SAKÉTÉ | 290 |
1.5%
|
| 121 | ABOMEY | 279 |
1.4%
|
| 122 | AGBANGNIZOUN | 96 |
0.5%
|
| 123 | BOHICON | 292 |
1.5%
|
| 124 | COVÈ | 103 |
0.5%
|
| 125 | DJIDJA | 193 |
1%
|
| 126 | OUINHI | 108 |
0.5%
|
| 127 | ZAGNANADO | 118 |
0.6%
|
| 128 | ZA-KPOTA | 225 |
1.1%
|
| 129 | ZOGBODOMEY | 190 |
1%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.