Socio-economic impact of COVID-19 on refugees - Panel Study
Kenya, 2020 - 2022
Get Microdata
Reference ID
UNHCR_KEN_2020_COVID_Panel_v2.1
Producer(s)
UNHCR
Metadata
Created on
Feb 26, 2021
Last modified
Feb 26, 2021
Page views
154578
Downloads
3568
In which city/town did live in January 2020 / prior to joining (wherefrom_town)
Data file: Anonymized Adult Data v1.11
Overview
Valid:
1298
Invalid:
29654
Type:
Discrete
Decimal:
0
Width:
12
Range:
1 - 332
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Other | 447 |
34.4%
|
| 2 | Mombasa | 11 |
0.8%
|
| 3 | Kwale | 0 |
0%
|
| 4 | Mackinon Road | 0 |
0%
|
| 5 | Lunga Lunga | 0 |
0%
|
| 6 | Kinango | 0 |
0%
|
| 7 | Ukunda | 0 |
0%
|
| 8 | Samburu | 0 |
0%
|
| 9 | Mariakani_(2007) | 0 |
0%
|
| 10 | Msambweni | 0 |
0%
|
| 11 | Mazeras_(2009) | 0 |
0%
|
| 12 | Mtwapa | 0 |
0%
|
| 13 | Vipingo | 0 |
0%
|
| 14 | Malindi | 0 |
0%
|
| 15 | Watamu | 0 |
0%
|
| 16 | Bamba | 0 |
0%
|
| 17 | Mariakani_(3006) | 0 |
0%
|
| 18 | Marereni | 0 |
0%
|
| 19 | Mazeras_(3008) | 0 |
0%
|
| 20 | Kilifi | 0 |
0%
|
| 21 | Kaloleni | 0 |
0%
|
| 22 | Gongoni | 0 |
0%
|
| 23 | Bura | 0 |
0%
|
| 24 | Garissa_(4002) | 0 |
0%
|
| 25 | Hola | 0 |
0%
|
| 26 | Garsen | 0 |
0%
|
| 27 | Kipini | 0 |
0%
|
| 28 | Mokowe | 0 |
0%
|
| 29 | Mpeketoni | 0 |
0%
|
| 30 | Lamu | 0 |
0%
|
| 31 | Faza | 0 |
0%
|
| 32 | Mwatate | 0 |
0%
|
| 33 | Wundanyi | 0 |
0%
|
| 34 | Maungu | 0 |
0%
|
| 35 | Taveta | 0 |
0%
|
| 36 | Voi | 0 |
0%
|
| 37 | Bura East | 0 |
0%
|
| 38 | Masalani | 1 |
0.1%
|
| 39 | Dadaab | 160 |
12.3%
|
| 40 | Garissa_(7004) | 26 |
2%
|
| 41 | Modogashe_(7005) | 0 |
0%
|
| 42 | Ijara | 1 |
0.1%
|
| 43 | Eldas | 0 |
0%
|
| 44 | Giriftu | 0 |
0%
|
| 45 | Wajir | 0 |
0%
|
| 46 | Tarbaj | 0 |
0%
|
| 47 | Habaswein | 0 |
0%
|
| 48 | Bute | 0 |
0%
|
| 49 | El Wak | 0 |
0%
|
| 50 | Rhamu | 0 |
0%
|
| 51 | Takaba | 0 |
0%
|
| 52 | Mandera | 0 |
0%
|
| 53 | Banisa | 0 |
0%
|
| 54 | Lafey | 0 |
0%
|
| 55 | North Horr | 0 |
0%
|
| 56 | Marsabit | 2 |
0.2%
|
| 57 | Sololo | 1 |
0.1%
|
| 58 | Loiyangalani | 0 |
0%
|
| 59 | Laisamis | 0 |
0%
|
| 60 | Moyale | 0 |
0%
|
| 61 | Garbatula | 0 |
0%
|
| 62 | Modogashe_(11002) | 0 |
0%
|
| 63 | Isiolo | 0 |
0%
|
| 64 | Merti | 1 |
0.1%
|
| 65 | Kinna | 0 |
0%
|
| 66 | Meru | 0 |
0%
|
| 67 | Maua | 1 |
0.1%
|
| 68 | Timau | 0 |
0%
|
| 69 | Nkubu | 0 |
0%
|
| 70 | Mitunguu | 0 |
0%
|
| 71 | Laare | 0 |
0%
|
| 72 | Kiirua | 0 |
0%
|
| 73 | Marimanti | 0 |
0%
|
| 74 | Chogoria | 0 |
0%
|
| 75 | Chuka | 0 |
0%
|
| 76 | Runyenjes | 0 |
0%
|
| 77 | Siakago | 0 |
0%
|
| 78 | Embu | 0 |
0%
|
| 79 | Mwingi | 0 |
0%
|
| 80 | Kabati | 0 |
0%
|
| 81 | Kitui | 0 |
0%
|
| 82 | Kathiani | 1 |
0.1%
|
| 83 | Athi River | 0 |
0%
|
| 84 | Githunguri | 0 |
0%
|
| 85 | Masii | 0 |
0%
|
| 86 | Tala | 0 |
0%
|
| 87 | Mlolongo | 0 |
0%
|
| 88 | Machakos | 0 |
0%
|
| 89 | Oldonyo Sabuk | 0 |
0%
|
| 90 | Matuu | 0 |
0%
|
| 91 | Kangundo | 0 |
0%
|
| 92 | Kithimani | 0 |
0%
|
| 93 | Wamunyu | 0 |
0%
|
| 94 | Makutano (Kyumbi) | 0 |
0%
|
| 95 | Nunguni | 0 |
0%
|
| 96 | Kibwezi | 0 |
0%
|
| 97 | Kiboko | 0 |
0%
|
| 98 | Makindu | 0 |
0%
|
| 99 | Kikima | 0 |
0%
|
| 100 | Mtito Andei | 0 |
0%
|
| 101 | Sultan Hamud_(17007) | 0 |
0%
|
| 102 | Wote | 0 |
0%
|
| 103 | Emali_(17009) | 0 |
0%
|
| 104 | Ol Joro Orok | 0 |
0%
|
| 105 | Ol Kalou | 0 |
0%
|
| 106 | Kasuku | 0 |
0%
|
| 107 | Njabini | 0 |
0%
|
| 108 | Engineer | 0 |
0%
|
| 109 | Ndunyu Njeru | 0 |
0%
|
| 110 | Mairo Inya | 0 |
0%
|
| 111 | Nanyuki_(19001) | 0 |
0%
|
| 112 | Othaya | 0 |
0%
|
| 113 | Nyeri | 0 |
0%
|
| 114 | Naro Moru_(19004) | 0 |
0%
|
| 115 | Karatina | 0 |
0%
|
| 116 | Endarasha | 0 |
0%
|
| 117 | Chaka | 0 |
0%
|
| 118 | Mukurweini | 0 |
0%
|
| 119 | Mweiga | 0 |
0%
|
| 120 | Kiganjo | 0 |
0%
|
| 121 | Kagumo | 0 |
0%
|
| 122 | Kerugoya | 0 |
0%
|
| 123 | Kagio | 0 |
0%
|
| 124 | Sagana | 0 |
0%
|
| 125 | Kianyaga | 0 |
0%
|
| 126 | Kutus | 0 |
0%
|
| 127 | Kimbimbi | 0 |
0%
|
| 128 | Wanguru | 0 |
0%
|
| 129 | Thika_(21001) | 0 |
0%
|
| 130 | Maragua | 0 |
0%
|
| 131 | Kangari | 0 |
0%
|
| 132 | Kenol | 0 |
0%
|
| 133 | Kangema | 0 |
0%
|
| 134 | Murang'A | 0 |
0%
|
| 135 | Saba Saba | 0 |
0%
|
| 136 | Kiriaini | 0 |
0%
|
| 137 | Ngewa | 0 |
0%
|
| 138 | Limuru | 0 |
0%
|
| 139 | Ting'Ang'A | 0 |
0%
|
| 140 | Githunguri | 0 |
0%
|
| 141 | Githiga | 0 |
0%
|
| 142 | Rironi | 0 |
0%
|
| 143 | Gatundu | 0 |
0%
|
| 144 | Kikuyu | 8 |
0.6%
|
| 145 | Kijabe | 1 |
0.1%
|
| 146 | Ikinu | 0 |
0%
|
| 147 | Kiambu | 40 |
3.1%
|
| 148 | Juja | 1 |
0.1%
|
| 149 | Kawaida | 1 |
0.1%
|
| 150 | Ruiru | 0 |
0%
|
| 151 | Karuri | 0 |
0%
|
| 152 | Thika_(22016) | 0 |
0%
|
| 153 | Kimende | 0 |
0%
|
| 154 | Lokichar | 0 |
0%
|
| 155 | Lokichoggio | 0 |
0%
|
| 156 | Kainuk | 0 |
0%
|
| 157 | Kakuma | 379 |
29.2%
|
| 158 | Lodwar | 1 |
0.1%
|
| 159 | Makutano | 0 |
0%
|
| 160 | Ortum | 0 |
0%
|
| 161 | Suguta Marmar | 0 |
0%
|
| 162 | Maralal | 0 |
0%
|
| 163 | Baragoi | 0 |
0%
|
| 164 | Archers Post | 0 |
0%
|
| 165 | Wamba | 0 |
0%
|
| 166 | Kitale | 0 |
0%
|
| 167 | Kiminini | 0 |
0%
|
| 168 | Kesses | 0 |
0%
|
| 169 | Jua Kali | 0 |
0%
|
| 170 | Moi'S Bridge | 0 |
0%
|
| 171 | Turbo | 0 |
0%
|
| 172 | Matunda_(27005) | 0 |
0%
|
| 173 | Eldoret | 2 |
0.2%
|
| 174 | Burnt Forest | 0 |
0%
|
| 175 | Iten | 0 |
0%
|
| 176 | Kapcherop | 0 |
0%
|
| 177 | Kapsowar | 0 |
0%
|
| 178 | Nandi Hills | 1 |
0.1%
|
| 179 | Serem_(29002) | 0 |
0%
|
| 180 | Musoriot | 0 |
0%
|
| 181 | Baraton | 0 |
0%
|
| 182 | Kapsabet | 0 |
0%
|
| 183 | Kabarnet | 0 |
0%
|
| 184 | Marigat | 0 |
0%
|
| 185 | Timboroa | 0 |
0%
|
| 186 | Eldama Ravine | 0 |
0%
|
| 187 | Maji Mazuri | 0 |
0%
|
| 188 | Makutano | 0 |
0%
|
| 189 | Mogotio_(30007) | 0 |
0%
|
| 190 | Naro Moru_(31001) | 0 |
0%
|
| 191 | Wiyumiririe | 0 |
0%
|
| 192 | Rumuruti | 0 |
0%
|
| 193 | Karuga | 0 |
0%
|
| 194 | Nanyuki_(31005) | 0 |
0%
|
| 195 | Kinamba | 0 |
0%
|
| 196 | Nyahururu | 0 |
0%
|
| 197 | Bahati | 2 |
0.2%
|
| 198 | Keringet | 0 |
0%
|
| 199 | Njoro | 0 |
0%
|
| 200 | Muchorwi | 0 |
0%
|
| 201 | Elburgon | 0 |
0%
|
| 202 | Turi | 0 |
0%
|
| 203 | Olenguruone | 0 |
0%
|
| 204 | Rongai | 1 |
0.1%
|
| 205 | Mau Narok | 1 |
0.1%
|
| 206 | Mogotio_(32010) | 0 |
0%
|
| 207 | Subukia | 0 |
0%
|
| 208 | Salgaa | 0 |
0%
|
| 209 | Naivasha | 0 |
0%
|
| 210 | Gilgil | 0 |
0%
|
| 211 | Kinungi | 0 |
0%
|
| 212 | Kampi Ya Moto | 0 |
0%
|
| 213 | Mwisho Wa Rami | 0 |
0%
|
| 214 | Ndundori | 1 |
0.1%
|
| 215 | Nakuru | 9 |
0.7%
|
| 216 | Total | 0 |
0%
|
| 217 | Mai Mahiu | 0 |
0%
|
| 218 | Ololunga | 0 |
0%
|
| 219 | Lolgorian | 0 |
0%
|
| 220 | Ntulele | 0 |
0%
|
| 221 | Kilgoris | 0 |
0%
|
| 222 | Narok | 2 |
0.2%
|
| 223 | Nyangusu_(33006) | 0 |
0%
|
| 224 | Nairagie Ngare | 0 |
0%
|
| 225 | Rombo | 0 |
0%
|
| 226 | Kitengela | 7 |
0.5%
|
| 227 | Ngong | 0 |
0%
|
| 228 | Kiserian | 0 |
0%
|
| 229 | Isinya | 0 |
0%
|
| 230 | Emali_(34006) | 1 |
0.1%
|
| 231 | Masimba | 0 |
0%
|
| 232 | Namanga | 0 |
0%
|
| 233 | Illasit | 0 |
0%
|
| 234 | Kimana | 0 |
0%
|
| 235 | Ewuaso Kedong | 0 |
0%
|
| 236 | Ongata Rongai | 0 |
0%
|
| 237 | Il Bissil | 0 |
0%
|
| 238 | Isineti | 0 |
0%
|
| 239 | Sultan Hamud_(34015) | 0 |
0%
|
| 240 | Loitoktok | 0 |
0%
|
| 241 | Kajiado | 5 |
0.4%
|
| 242 | Kericho | 0 |
0%
|
| 243 | Kapsoit | 0 |
0%
|
| 244 | Litein | 0 |
0%
|
| 245 | Chepsion | 0 |
0%
|
| 246 | Brooke Bond | 0 |
0%
|
| 247 | Kapkatet | 0 |
0%
|
| 248 | Londian | 0 |
0%
|
| 249 | Sondu_(35008) | 0 |
0%
|
| 250 | Sotik | 0 |
0%
|
| 251 | Mulot | 1 |
0.1%
|
| 252 | Bomet | 0 |
0%
|
| 253 | Chebilat_(36004) | 0 |
0%
|
| 254 | Mumias | 0 |
0%
|
| 255 | Malava | 0 |
0%
|
| 256 | Khayega | 0 |
0%
|
| 257 | Matunda_(37004) | 0 |
0%
|
| 258 | Shianda | 0 |
0%
|
| 259 | Butere | 4 |
0.3%
|
| 260 | Kakamega | 3 |
0.2%
|
| 261 | Mbale | 0 |
0%
|
| 262 | Serem_(38002) | 0 |
0%
|
| 263 | Luanda | 0 |
0%
|
| 264 | Majengo | 0 |
0%
|
| 265 | Chavakali | 0 |
0%
|
| 266 | Kimilili | 0 |
0%
|
| 267 | Bungoma | 1 |
0.1%
|
| 268 | Kapsokwony | 0 |
0%
|
| 269 | Cheptais | 0 |
0%
|
| 270 | Chwele | 0 |
0%
|
| 271 | Sirisia | 0 |
0%
|
| 272 | Webuye | 0 |
0%
|
| 273 | Busia | 2 |
0.2%
|
| 274 | Port Victoria | 0 |
0%
|
| 275 | Funyula | 0 |
0%
|
| 276 | Malaba | 1 |
0.1%
|
| 277 | Amagoro | 0 |
0%
|
| 278 | Nambale | 0 |
0%
|
| 279 | Sega | 0 |
0%
|
| 280 | Usenge | 0 |
0%
|
| 281 | Siaya | 0 |
0%
|
| 282 | Ugunja | 0 |
0%
|
| 283 | Ndori | 0 |
0%
|
| 284 | Bondo | 0 |
0%
|
| 285 | Yala | 0 |
0%
|
| 286 | Sondu_(42001) | 0 |
0%
|
| 287 | Maseno | 0 |
0%
|
| 288 | Rabuor | 0 |
0%
|
| 289 | Muhoroni | 0 |
0%
|
| 290 | Katito | 0 |
0%
|
| 291 | Kisumu | 0 |
0%
|
| 292 | Awasi | 0 |
0%
|
| 293 | Ahero | 0 |
0%
|
| 294 | Homa Bay | 0 |
0%
|
| 295 | Ndhiwa | 0 |
0%
|
| 296 | Kendu Bay | 0 |
0%
|
| 297 | Oyugis | 0 |
0%
|
| 298 | Rodi Kopany | 0 |
0%
|
| 299 | Sindo | 0 |
0%
|
| 300 | Mbita | 0 |
0%
|
| 301 | Nyandiwa Beach | 0 |
0%
|
| 302 | Muhuri Bay | 0 |
0%
|
| 303 | Awendo | 0 |
0%
|
| 304 | Rongo | 0 |
0%
|
| 305 | Migori | 0 |
0%
|
| 306 | Isebania | 0 |
0%
|
| 307 | Kehancha | 0 |
0%
|
| 308 | Sori | 0 |
0%
|
| 309 | Tabaka | 0 |
0%
|
| 310 | Kenyenya | 0 |
0%
|
| 311 | Mosocho | 0 |
0%
|
| 312 | Magena | 0 |
0%
|
| 313 | Magonga | 0 |
0%
|
| 314 | Suneka | 0 |
0%
|
| 315 | Ogembo | 0 |
0%
|
| 316 | Nyangusu_(45008) | 0 |
0%
|
| 317 | Kisii_(45009) | 0 |
0%
|
| 318 | Keroka_(45010) | 0 |
0%
|
| 319 | Kijauri | 0 |
0%
|
| 320 | Keroka_(46002) | 0 |
0%
|
| 321 | Kisii_(46003) | 0 |
0%
|
| 322 | Nyamira | 0 |
0%
|
| 323 | Kebirigo | 0 |
0%
|
| 324 | Chebilat_(46006) | 0 |
0%
|
| 325 | Nairobi | 135 |
10.4%
|
| 326 | Rural | 36 |
2.8%
|
| 327 | Don't know | 0 |
0%
|
| 328 | Refused to answer | 0 |
0%
|
| 329 | Outlier set to missing | 0 |
0%
|
| 330 | Inconsistency set to missing | 0 |
0%
|
| 331 | Field skipped | 0 |
0%
|
| 332 | Not applicable | 0 |
0%
|
| Sysmiss | 29654 |
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.