Enquête Démographique et de Santé 2018
Cameroon, 2018
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
61306
Downloads
212
- Data files
- RECH0
- RECH1
- RECH2
- RECH3
- RECH4
- RECH5
- RECH6
- RECHMA
- RECHMH
- RECHML
- REC01
- REC4A
- REC11
- REC21
- REC22
- REC31
- REC32
- REC41
- REC42
- REC43
- REC44
- REC51
- REC61
- REC71
- REC75
- REC80
- REC81
- REC83
- REC84
- REC91
- REC94
- REC95
- REC97
- RECDV
- RECML
- MREC01
- MREC11
- MREC22
- MREC31
- MREC32
- MREC41
- MREC51
- MREC61
- MREC71
- MREC75
- MREC80
- MREC91
- MREC92
- FWRECORD
Ethnicity (v131)
Data file: REC11
Overview
Type:
Discrete
Decimal:
0
Start:
52
End:
54
Width:
3
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | Arabe-choa |
| 2 | Bororo |
| 3 | Foulbe |
| 4 | Haoussa |
| 5 | Kanuri |
| 6 | Bata |
| 7 | Djimi |
| 8 | Goude |
| 10 | Kobotchi |
| 13 | Bouwal |
| 14 | Daba |
| 15 | Gavar |
| 17 | Mbedam |
| 18 | Guidar |
| 21 | Kotoko |
| 28 | Kera |
| 31 | Guiziga |
| 32 | Mada |
| 33 | Mafa |
| 34 | Mbouko |
| 35 | Mefele |
| 36 | Mofou |
| 37 | Molko |
| 38 | Mouktele |
| 39 | Mouyang |
| 40 | Tchouvok |
| 42 | Zoulgo |
| 43 | Bana |
| 45 | Kapsiki |
| 47 | Massa |
| 48 | Moussey |
| 49 | Zime |
| 54 | Mousgoum |
| 55 | Sara / Laka |
| 60 | Podoko |
| 61 | Wandala |
| 62 | Dourou |
| 63 | Doayo |
| 69 | Koutine |
| 75 | Fali-kangou |
| 77 | Fali |
| 78 | Gbaya |
| 79 | Yanguere |
| 84 | Mambila |
| 86 | Nkonja |
| 87 | Niam-niam |
| 88 | Tikar |
| 89 | Voute |
| 90 | Dama |
| 91 | Gbete |
| 95 | Mambay |
| 97 | Mono |
| 98 | Moundang |
| 99 | Ndai |
| 101 | Toupouri |
| 102 | Mboum |
| 103 | Samba |
| 104 | Anyang/Denya |
| 106 | Kenyang |
| 107 | Banyang |
| 112 | Ejagham |
| 116 | Mbembe |
| 119 | Babasi |
| 120 | Esimbi |
| 132 | Nchanti/Ncan |
| 133 | Noni |
| 134 | Bebe |
| 135 | Befang |
| 136 | Modele |
| 137 | Menchum |
| 138 | Ambele |
| 141 | Mbu |
| 142 | Menka |
| 143 | Metta |
| 144 | Moghamo/Widi |
| 145 | Mundani |
| 146 | Ngie |
| 147 | Ngwaw/Ngwo |
| 148 | Oshie/Ngishe |
| 149 | Momo |
| 150 | Awing |
| 151 | Bafut |
| 152 | Bambili |
| 153 | Mankon |
| 154 | Mundum |
| 155 | Nkwen |
| 156 | Pinyin |
| 157 | Ngemba |
| 158 | Aghem |
| 159 | Babanki |
| 161 | Babungo |
| 162 | Bafmeng |
| 163 | Bamessing |
| 164 | Bamunka |
| 165 | Bum |
| 166 | Kom |
| 167 | Bansaw / Banso |
| 168 | Oku / Uku |
| 169 | Ring |
| 173 | Wimbum |
| 174 | Yamba |
| 175 | Bamenyan |
| 176 | Bamoun |
| 177 | Mungaka |
| 178 | Bakwa |
| 179 | Dschang-cent |
| 180 | Dschang-est |
| 181 | Dschang-oues |
| 182 | Dschang-sud |
| 183 | Dschang |
| 184 | Fontem / Ngwe |
| 185 | Fefe / Nufi-ce |
| 186 | Fefe / Nufi-no |
| 187 | Fefe / Nufi |
| 188 | Ghomala-cent |
| 189 | Ghomala-nord |
| 190 | Ghomala-oues |
| 191 | Ghomala-sud |
| 193 | Medumba |
| 194 | Megaka / Bagam |
| 195 | Nda'nda-est |
| 196 | Nda'nda-oues |
| 197 | Nda'nda-sud |
| 198 | Nda'nda |
| 199 | Ngomba |
| 200 | Ngombale |
| 201 | Nguiembong |
| 202 | Bamileke |
| 203 | Bakweri |
| 205 | Batanga |
| 208 | Douala |
| 210 | Yassa |
| 212 | Bafaw |
| 213 | Bakossi |
| 214 | Balong |
| 215 | Bassossi |
| 216 | Mbo |
| 218 | Oroko |
| 219 | Bafia |
| 220 | Balom |
| 222 | Djanti |
| 225 | Mbam |
| 226 | Bandem |
| 227 | Banen |
| 228 | Yambeta |
| 229 | Yambassa |
| 230 | Yangben |
| 231 | Bakoko |
| 232 | Bassa |
| 233 | Lombe |
| 234 | Eki |
| 235 | Eton |
| 236 | Ewondo |
| 237 | Fong |
| 238 | Manguissa |
| 239 | Mvele |
| 241 | Sanaga |
| 242 | Yebekolo |
| 243 | Yezoum |
| 244 | Autre-beti |
| 245 | Boulou |
| 246 | Fang |
| 247 | Mvae |
| 248 | Ntoumou |
| 250 | Kwakum |
| 251 | Kaka |
| 252 | Pol/pori |
| 253 | Kako |
| 254 | Kwassio |
| 255 | Kozime |
| 256 | Maka / Makya |
| 257 | Mezime / Mpo |
| 260 | Pygmee |
| 261 | Africain-voi |
| 262 | Africain-aut |
| 996 | Other |
| 999 | Missing |
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.