Enquête Démographique et de Santé 2018
Cameroon, 2018
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Jan 16, 2021
Last modified
Jan 16, 2021
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- 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 (mv131)
Data file: MREC11
Overview
Type:
Discrete
Decimal:
0
Start:
25
End:
27
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 | Autre |
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.