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
26103
Downloads
81
- Data files
- Children Wave 5
- HH Wave 5
- HHM Wave 5
c. Assets / Durables (Consider the below and combine total) Vehicles (car, boat, (s5_q3c_durables)
Data file: HH Wave 5
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Range:
2 - 149
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 2 | 1 |
| 3 | 5 |
| 4 | 8 |
| 5 | 9 |
| 6 | 10 |
| 7 | 20 |
| 8 | 40 |
| 9 | 50 |
| 10 | 58 |
| 11 | 60 |
| 12 | 65 |
| 13 | 70 |
| 14 | 74 |
| 15 | 80 |
| 16 | 90 |
| 17 | 99 |
| 18 | 100 |
| 19 | 115 |
| 20 | 120 |
| 21 | 122 |
| 22 | 125 |
| 23 | 130 |
| 24 | 135 |
| 25 | 140 |
| 26 | 145 |
| 27 | 150 |
| 28 | 155 |
| 29 | 160 |
| 30 | 165 |
| 31 | 170 |
| 32 | 180 |
| 33 | 185 |
| 34 | 200 |
| 35 | 208 |
| 36 | 210 |
| 37 | 215 |
| 38 | 220 |
| 39 | 221 |
| 40 | 225 |
| 41 | 230 |
| 42 | 235 |
| 43 | 250 |
| 44 | 260 |
| 45 | 270 |
| 46 | 280 |
| 47 | 290 |
| 48 | 300 |
| 49 | 310 |
| 50 | 315 |
| 51 | 320 |
| 52 | 325 |
| 53 | 330 |
| 54 | 340 |
| 55 | 345 |
| 56 | 348 |
| 57 | 350 |
| 58 | 355 |
| 59 | 360 |
| 60 | 380 |
| 61 | 390 |
| 62 | 400 |
| 63 | 410 |
| 64 | 412 |
| 65 | 420 |
| 66 | 430 |
| 67 | 440 |
| 68 | 445 |
| 69 | 450 |
| 70 | 460 |
| 71 | 470 |
| 72 | 480 |
| 73 | 500 |
| 74 | 510 |
| 75 | 520 |
| 76 | 525 |
| 77 | 540 |
| 78 | 546 |
| 79 | 550 |
| 80 | 560 |
| 81 | 570 |
| 82 | 575 |
| 83 | 600 |
| 84 | 610 |
| 85 | 620 |
| 86 | 625 |
| 87 | 635 |
| 88 | 640 |
| 89 | 645 |
| 90 | 650 |
| 91 | 680 |
| 92 | 700 |
| 93 | 740 |
| 94 | 745 |
| 95 | 750 |
| 96 | 780 |
| 97 | 800 |
| 98 | 850 |
| 99 | 870 |
| 100 | 900 |
| 101 | 910 |
| 102 | 920 |
| 103 | 950 |
| 104 | 960 |
| 105 | 970 |
| 106 | 990 |
| 107 | 1000 |
| 108 | 1050 |
| 109 | 1080 |
| 110 | 1200 |
| 111 | 1230 |
| 112 | 1250 |
| 113 | 1280 |
| 114 | 1300 |
| 115 | 1350 |
| 116 | 1400 |
| 117 | 1450 |
| 118 | 1500 |
| 119 | 1600 |
| 120 | 1650 |
| 121 | 1700 |
| 122 | 1800 |
| 123 | 2000 |
| 124 | 2400 |
| 125 | 2500 |
| 126 | 2600 |
| 127 | 3000 |
| 128 | 3200 |
| 129 | 3300 |
| 130 | 3450 |
| 131 | 3500 |
| 132 | 4000 |
| 133 | 5000 |
| 134 | 5500 |
| 135 | 6500 |
| 136 | 9000 |
| 137 | 10000 |
| 138 | 11000 |
| 139 | 13000 |
| 140 | 15000 |
| 141 | 17000 |
| 142 | 18000 |
| 143 | 25000 |
| 144 | 50000 |
| 145 | Don't know |
| 146 | Refused to answer |
| 147 | Outlier set to missing |
| 148 | Inconsistency set to missing |
| 149 | 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
c. Assets / Durables (Consider the below and combine total) Vehicles (car, boat,
Imputation and derivation
Imputation
c. Assets / Durables (Consider the below and combine total) Vehicles (car, boat,
Others
Security
c. Assets / Durables (Consider the below and combine total) Vehicles (car, boat,