Socio-Economic Impact of COVID-19 on Refugees 2021, Round 4
Kenya, 2021
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Reference ID
KEN_2020_COVID-SEIR-W4_v01_M
Producer(s)
UN Refugee Agency (UNHCR)
Created on
Jun 01, 2022
Last modified
Jun 01, 2022
Page views
33991
Downloads
126
- Data files
- HH Wave 4
- HHM Wave 4
- Children Wave 4
In which city/town did live in January 2020 / prior to joining (wherefrom_town)
Data file: HHM Wave 4
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
12
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.