Socio-Economic Impact of COVID-19 on Refugees 2021, Round 5
Kenya, 2021
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Reference ID
KEN_2020_COVID-SEIR-W5_v01_M
Producer(s)
UN Refugee Agency (UNHCR)
Created on
Jun 01, 2022
Last modified
Jun 01, 2022
Page views
34356
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- Data files
- Children Wave 5
- HH Wave 5
- HHM Wave 5
In which city/town did live in January 2020 / prior to joining (wherefrom_town)
Data file: HHM Wave 5
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Range:
1 - 314
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | Other |
| 2 | Mombasa |
| 3 | Kwale |
| 4 | Mackinon Road |
| 5 | Lunga Lunga |
| 6 | Kinango |
| 7 | Ukunda |
| 8 | Samburu |
| 9 | Mariakani |
| 10 | Msambweni |
| 11 | Mazeras |
| 12 | Mtwapa |
| 13 | Vipingo |
| 14 | Malindi |
| 15 | Watamu |
| 16 | Bamba |
| 17 | Marereni |
| 18 | Kilifi |
| 19 | Kaloleni |
| 20 | Gongoni |
| 21 | Bura |
| 22 | Garissa |
| 23 | Hola |
| 24 | Garsen |
| 25 | Kipini |
| 26 | Mokowe |
| 27 | Mpeketoni |
| 28 | Lamu |
| 29 | Faza |
| 30 | Mwatate |
| 31 | Wundanyi |
| 32 | Maungu |
| 33 | Taveta |
| 34 | Voi |
| 35 | Bura East |
| 36 | Masalani |
| 37 | Dadaab |
| 38 | Modogashe |
| 39 | Ijara |
| 40 | Eldas |
| 41 | Giriftu |
| 42 | Wajir |
| 43 | Tarbaj |
| 44 | Habaswein |
| 45 | Bute |
| 46 | El Wak |
| 47 | Rhamu |
| 48 | Takaba |
| 49 | Mandera |
| 50 | Banisa |
| 51 | Lafey |
| 52 | North Horr |
| 53 | Marsabit |
| 54 | Sololo |
| 55 | Loiyangalani |
| 56 | Laisamis |
| 57 | Moyale |
| 58 | Garbatula |
| 59 | Isiolo |
| 60 | Merti |
| 61 | Kinna |
| 62 | Meru |
| 63 | Maua |
| 64 | Timau |
| 65 | Nkubu |
| 66 | Mitunguu |
| 67 | Laare |
| 68 | Kiirua |
| 69 | Marimanti |
| 70 | Chogoria |
| 71 | Chuka |
| 72 | Runyenjes |
| 73 | Siakago |
| 74 | Embu |
| 75 | Mwingi |
| 76 | Kabati |
| 77 | Kitui |
| 78 | Kathiani |
| 79 | Athi River |
| 80 | Githunguri |
| 81 | Masii |
| 82 | Tala |
| 83 | Mlolongo |
| 84 | Machakos |
| 85 | Oldonyo Sabuk |
| 86 | Matuu |
| 87 | Kangundo |
| 88 | Kithimani |
| 89 | Wamunyu |
| 90 | Makutano (Kyumbi) |
| 91 | Nunguni |
| 92 | Kibwezi |
| 93 | Kiboko |
| 94 | Makindu |
| 95 | Kikima |
| 96 | Mtito Andei |
| 97 | Sultan Hamud |
| 98 | Wote |
| 99 | Emali |
| 100 | Ol Joro Orok |
| 101 | Ol Kalou |
| 102 | Kasuku |
| 103 | Njabini |
| 104 | Engineer |
| 105 | Ndunyu Njeru |
| 106 | Mairo Inya |
| 107 | Nanyuki |
| 108 | Othaya |
| 109 | Nyeri |
| 110 | Naro Moru |
| 111 | Karatina |
| 112 | Endarasha |
| 113 | Chaka |
| 114 | Mukurweini |
| 115 | Mweiga |
| 116 | Kiganjo |
| 117 | Kagumo |
| 118 | Kerugoya |
| 119 | Kagio |
| 120 | Sagana |
| 121 | Kianyaga |
| 122 | Kutus |
| 123 | Kimbimbi |
| 124 | Wanguru |
| 125 | Thika |
| 126 | Maragua |
| 127 | Kangari |
| 128 | Kenol |
| 129 | Kangema |
| 130 | Murang'A |
| 131 | Saba Saba |
| 132 | Kiriaini |
| 133 | Ngewa |
| 134 | Limuru |
| 135 | Ting'Ang'A |
| 136 | Githunguri |
| 137 | Githiga |
| 138 | Rironi |
| 139 | Gatundu |
| 140 | Kikuyu |
| 141 | Kijabe |
| 142 | Ikinu |
| 143 | Kiambu |
| 144 | Juja |
| 145 | Kawaida |
| 146 | Ruiru |
| 147 | Karuri |
| 148 | Kimende |
| 149 | Lokichar |
| 150 | Lokichoggio |
| 151 | Kainuk |
| 152 | Kakuma |
| 153 | Lodwar |
| 154 | Makutano |
| 155 | Ortum |
| 156 | Suguta Marmar |
| 157 | Maralal |
| 158 | Baragoi |
| 159 | Archers Post |
| 160 | Wamba |
| 161 | Kitale |
| 162 | Kiminini |
| 163 | Kesses |
| 164 | Jua Kali |
| 165 | Moi'S Bridge |
| 166 | Turbo |
| 167 | Matunda |
| 168 | Eldoret |
| 169 | Burnt Forest |
| 170 | Iten |
| 171 | Kapcherop |
| 172 | Kapsowar |
| 173 | Nandi Hills |
| 174 | Serem |
| 175 | Musoriot |
| 176 | Baraton |
| 177 | Kapsabet |
| 178 | Kabarnet |
| 179 | Marigat |
| 180 | Timboroa |
| 181 | Eldama Ravine |
| 182 | Maji Mazuri |
| 183 | Makutano |
| 184 | Mogotio |
| 185 | Wiyumiririe |
| 186 | Rumuruti |
| 187 | Karuga |
| 188 | Kinamba |
| 189 | Nyahururu |
| 190 | Bahati |
| 191 | Keringet |
| 192 | Njoro |
| 193 | Muchorwi |
| 194 | Elburgon |
| 195 | Turi |
| 196 | Olenguruone |
| 197 | Rongai |
| 198 | Mau Narok |
| 199 | Subukia |
| 200 | Salgaa |
| 201 | Naivasha |
| 202 | Gilgil |
| 203 | Kinungi |
| 204 | Kampi Ya Moto |
| 205 | Mwisho Wa Rami |
| 206 | Ndundori |
| 207 | Nakuru |
| 208 | Total |
| 209 | Mai Mahiu |
| 210 | Ololunga |
| 211 | Lolgorian |
| 212 | Ntulele |
| 213 | Kilgoris |
| 214 | Narok |
| 215 | Nyangusu |
| 216 | Nairagie Ngare |
| 217 | Rombo |
| 218 | Kitengela |
| 219 | Ngong |
| 220 | Kiserian |
| 221 | Isinya |
| 222 | Masimba |
| 223 | Namanga |
| 224 | Illasit |
| 225 | Kimana |
| 226 | Ewuaso Kedong |
| 227 | Ongata Rongai |
| 228 | Il Bissil |
| 229 | Isineti |
| 230 | Loitoktok |
| 231 | Kajiado |
| 232 | Kericho |
| 233 | Kapsoit |
| 234 | Litein |
| 235 | Chepsion |
| 236 | Brooke Bond |
| 237 | Kapkatet |
| 238 | Londian |
| 239 | Sondu |
| 240 | Sotik |
| 241 | Mulot |
| 242 | Bomet |
| 243 | Chebilat |
| 244 | Mumias |
| 245 | Malava |
| 246 | Khayega |
| 247 | Shianda |
| 248 | Butere |
| 249 | Kakamega |
| 250 | Mbale |
| 251 | Luanda |
| 252 | Majengo |
| 253 | Chavakali |
| 254 | Kimilili |
| 255 | Bungoma |
| 256 | Kapsokwony |
| 257 | Cheptais |
| 258 | Chwele |
| 259 | Sirisia |
| 260 | Webuye |
| 261 | Busia |
| 262 | Port Victoria |
| 263 | Funyula |
| 264 | Malaba |
| 265 | Amagoro |
| 266 | Nambale |
| 267 | Sega |
| 268 | Usenge |
| 269 | Siaya |
| 270 | Ugunja |
| 271 | Ndori |
| 272 | Bondo |
| 273 | Yala |
| 274 | Maseno |
| 275 | Rabuor |
| 276 | Muhoroni |
| 277 | Katito |
| 278 | Kisumu |
| 279 | Awasi |
| 280 | Ahero |
| 281 | Homa Bay |
| 282 | Ndhiwa |
| 283 | Kendu Bay |
| 284 | Oyugis |
| 285 | Rodi Kopany |
| 286 | Sindo |
| 287 | Mbita |
| 288 | Nyandiwa Beach |
| 289 | Muhuri Bay |
| 290 | Awendo |
| 291 | Rongo |
| 292 | Migori |
| 293 | Isebania |
| 294 | Kehancha |
| 295 | Sori |
| 296 | Tabaka |
| 297 | Kenyenya |
| 298 | Mosocho |
| 299 | Magena |
| 300 | Magonga |
| 301 | Suneka |
| 302 | Ogembo |
| 303 | Kisii |
| 304 | Keroka |
| 305 | Kijauri |
| 306 | Nyamira |
| 307 | Kebirigo |
| 308 | Nairobi |
| 309 | 99999 |
| 310 | Don't know |
| 311 | Refused to answer |
| 312 | Outlier set to missing |
| 313 | Inconsistency set to missing |
| 314 | Not applicable |
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.
Description
Source of information
In which city/town did live in January 2020 / prior to joining
Imputation and derivation
Imputation
In which city/town did live in January 2020 / prior to joining
Others
Security
In which city/town did live in January 2020 / prior to joining