Kenya Continuous Household Survey Programme (KCHSP) - 2020 Quarters 1 and 2
Kenya, 2020
Kenya National Bureau of Statistics
Created on
June 01, 2022
Last modified
June 01, 2022
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B11:In which County/Country was (%rostertitle%) living before moving to the Coun (b11)
Data file: 2020 KCHSP Q1_Q2 individual_level
Overview
Valid:
3754
Invalid:
38172
Type:
Discrete
Decimal:
0
Width:
6
Range:
1 - 960
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | NAIROBI | 0 |
0%
|
| 2 | NYANDARUA | 0 |
0%
|
| 3 | NYERI | 0 |
0%
|
| 4 | KIRINYAGA | 0 |
0%
|
| 5 | MURANGA | 0 |
0%
|
| 6 | KIAMBU | 0 |
0%
|
| 7 | MOMBASA | 0 |
0%
|
| 8 | KWALE | 0 |
0%
|
| 9 | KILIFI | 0 |
0%
|
| 10 | TANA RIVER | 0 |
0%
|
| 11 | LAMU | 0 |
0%
|
| 12 | TAITA TAVETA | 0 |
0%
|
| 13 | MARSABIT | 0 |
0%
|
| 14 | ISIOLO | 0 |
0%
|
| 15 | MERU | 0 |
0%
|
| 16 | THARAKA NITHI | 0 |
0%
|
| 17 | EMBU | 0 |
0%
|
| 18 | KITUI | 0 |
0%
|
| 19 | MACHAKOS | 0 |
0%
|
| 20 | MAKUENI | 0 |
0%
|
| 21 | GARISSA | 0 |
0%
|
| 22 | WAJIR | 0 |
0%
|
| 23 | MANDERA | 0 |
0%
|
| 24 | SIAYA | 0 |
0%
|
| 25 | KISUMU | 0 |
0%
|
| 26 | HOMA BAY | 0 |
0%
|
| 27 | MIGORI | 0 |
0%
|
| 28 | KISII | 0 |
0%
|
| 29 | NYAMIRA | 0 |
0%
|
| 30 | TURKANA | 0 |
0%
|
| 31 | WEST POKOT | 0 |
0%
|
| 32 | SAMBURU | 0 |
0%
|
| 33 | TRANS NZOIA | 0 |
0%
|
| 34 | BARINGO | 0 |
0%
|
| 35 | UASIN-GISHU | 0 |
0%
|
| 36 | ELGEYO MARAKWET | 0 |
0%
|
| 37 | NANDI | 0 |
0%
|
| 38 | LAIKIPIA | 0 |
0%
|
| 39 | NAKURU | 0 |
0%
|
| 40 | NAROK | 0 |
0%
|
| 41 | KAJIADO | 0 |
0%
|
| 42 | KERICHO | 0 |
0%
|
| 43 | BOMET | 0 |
0%
|
| 44 | KAKAMEGA | 0 |
0%
|
| 45 | VIHIGA | 0 |
0%
|
| 46 | BUNGOMA | 0 |
0%
|
| 47 | BUSIA | 0 |
0%
|
| 48 | ALGERIA | 0 |
0%
|
| 49 | ANGOLA | 0 |
0%
|
| 50 | BENIN | 0 |
0%
|
| 51 | BOTSWANA | 0 |
0%
|
| 52 | BURKINA FASO | 0 |
0%
|
| 53 | BURUNDI | 0 |
0%
|
| 54 | CAMEROON | 0 |
0%
|
| 55 | CAPE VERDE | 0 |
0%
|
| 56 | CENTRAL AFRICAN REPUBLIC | 0 |
0%
|
| 57 | CHAD | 0 |
0%
|
| 58 | COMOROS | 0 |
0%
|
| 59 | CONGO, REPUBLIC OF THE... | 0 |
0%
|
| 60 | C�TE D'IVOIRE | 0 |
0%
|
| 61 | DEMOCRATIC REPUBLIC OF THE CONGO | 0 |
0%
|
| 62 | DJIBOUTI | 0 |
0%
|
| 63 | EGYPT | 0 |
0%
|
| 64 | EQUATORIAL GUINEA | 0 |
0%
|
| 65 | ERITREA | 0 |
0%
|
| 66 | ETHIOPIA | 0 |
0%
|
| 67 | GABON | 0 |
0%
|
| 68 | GAMBIA | 0 |
0%
|
| 69 | GHANA | 0 |
0%
|
| 70 | GUINEA | 0 |
0%
|
| 71 | GUINEA-BISSAU | 0 |
0%
|
| 72 | LESOTHO | 0 |
0%
|
| 73 | LIBERIA | 0 |
0%
|
| 74 | LIBYAN ARAB JAMAHIRIYA | 0 |
0%
|
| 75 | MADAGASCAR | 0 |
0%
|
| 76 | MALAWI | 0 |
0%
|
| 77 | MALI | 0 |
0%
|
| 78 | MAURITANIA | 0 |
0%
|
| 79 | MAURITIUS | 0 |
0%
|
| 80 | MOROCCO | 0 |
0%
|
| 81 | MOZAMBIQUE | 0 |
0%
|
| 82 | NAMIBIA | 0 |
0%
|
| 83 | NIGER | 0 |
0%
|
| 84 | NIGERIA | 0 |
0%
|
| 85 | RWANDA | 0 |
0%
|
| 86 | SAO TOME AND PRINCIPE | 0 |
0%
|
| 87 | SENEGAL | 0 |
0%
|
| 88 | SEYCHELLES | 0 |
0%
|
| 89 | SIERRA LEONE | 0 |
0%
|
| 90 | SOMALIA | 0 |
0%
|
| 91 | SOUTH AFRICA | 0 |
0%
|
| 92 | SUDAN | 0 |
0%
|
| 93 | SWAZILAND | 0 |
0%
|
| 94 | TOGO | 0 |
0%
|
| 95 | TUNISIA | 0 |
0%
|
| 96 | UGANDA | 0 |
0%
|
| 97 | UNITED REPUBLIC OF TANZANIA | 0 |
0%
|
| 98 | ZAMBIA | 0 |
0%
|
| 99 | ZIMBABWE | 0 |
0%
|
| 100 | AFGHANISTAN | 0 |
0%
|
| 101 | BAHRAIN | 234 |
6.2%
|
| 102 | BANGLADESH | 0 |
0%
|
| 103 | BHUTAN | 0 |
0%
|
| 104 | BRUNEI DARUSSALAM | 0 |
0%
|
| 105 | CAMBODIA | 0 |
0%
|
| 106 | CHINA | 0 |
0%
|
| 107 | DEMOCRATIC PEOPLE'S REPUBLIC OF KOREA | 0 |
0%
|
| 108 | INDIA | 0 |
0%
|
| 109 | INDONESIA | 0 |
0%
|
| 110 | IRAN, ISLAMIC REPUBLIC OF... | 0 |
0%
|
| 111 | IRAQ | 0 |
0%
|
| 112 | ISRAEL | 0 |
0%
|
| 113 | JAPAN | 0 |
0%
|
| 114 | JORDAN | 0 |
0%
|
| 115 | KIRIBATI | 0 |
0%
|
| 116 | KUWAIT | 0 |
0%
|
| 117 | LAO PEOPLE'S DEMOCRATIC REPUBLIC | 0 |
0%
|
| 118 | LEBANON | 0 |
0%
|
| 119 | MALAYSIA | 0 |
0%
|
| 120 | MALDIVES | 0 |
0%
|
| 121 | MICRONESIA, FEDERATED STATES OF... | 0 |
0%
|
| 122 | MONGOLIA | 0 |
0%
|
| 123 | MYANMAR | 0 |
0%
|
| 124 | NAURU | 0 |
0%
|
| 125 | NEPAL | 0 |
0%
|
| 126 | OMAN | 0 |
0%
|
| 127 | PAKISTAN | 0 |
0%
|
| 128 | PHILIPPINES | 0 |
0%
|
| 129 | QATAR | 0 |
0%
|
| 130 | REPUBLIC OF KOREA | 0 |
0%
|
| 131 | REPUBLIC OF MOLDOVA | 0 |
0%
|
| 132 | SAUDI ARABIA | 0 |
0%
|
| 133 | SINGAPORE | 0 |
0%
|
| 134 | SRI LANKA | 0 |
0%
|
| 135 | SURINAME | 0 |
0%
|
| 136 | SYRIAN ARAB REPUBLIC | 0 |
0%
|
| 137 | THAILAND | 0 |
0%
|
| 138 | TIMOR-LESTE | 0 |
0%
|
| 139 | UNITED ARAB EMIRATES | 0 |
0%
|
| 140 | VIETNAM | 0 |
0%
|
| 141 | YEMEN | 0 |
0%
|
| 142 | ALBANIA | 0 |
0%
|
| 143 | ANDORRA | 0 |
0%
|
| 144 | ARMENIA | 0 |
0%
|
| 145 | AUSTRIA | 0 |
0%
|
| 146 | AZERBAIJAN | 0 |
0%
|
| 147 | BELARUS | 0 |
0%
|
| 148 | BELGIUM | 0 |
0%
|
| 149 | BOSNIA AND HERZEGOVINA | 0 |
0%
|
| 150 | BULGARIA | 0 |
0%
|
| 151 | CROATIA | 0 |
0%
|
| 152 | CYPRUS | 0 |
0%
|
| 153 | CZECH REPUBLIC | 0 |
0%
|
| 154 | DENMARK | 0 |
0%
|
| 155 | ESTONIA | 0 |
0%
|
| 156 | FINLAND | 0 |
0%
|
| 157 | FRANCE | 0 |
0%
|
| 158 | GEORGIA | 0 |
0%
|
| 159 | GERMANY | 0 |
0%
|
| 160 | GREECE | 0 |
0%
|
| 161 | HUNGARY | 0 |
0%
|
| 162 | ICELAND | 0 |
0%
|
| 163 | IRELAND | 0 |
0%
|
| 164 | ITALY | 0 |
0%
|
| 165 | KAZAKHSTAN | 0 |
0%
|
| 166 | KYRGYZSTAN | 0 |
0%
|
| 167 | LATVIA | 0 |
0%
|
| 168 | LIECHTENSTEIN | 0 |
0%
|
| 169 | LITHUANIA | 0 |
0%
|
| 170 | LUXEMBOURG | 0 |
0%
|
| 171 | MALTA | 0 |
0%
|
| 172 | MARSHALL ISLANDS | 0 |
0%
|
| 173 | MONACO | 0 |
0%
|
| 174 | MONTENEGRO | 0 |
0%
|
| 175 | NETHERLANDS | 0 |
0%
|
| 176 | NORWAY | 0 |
0%
|
| 177 | POLAND | 0 |
0%
|
| 178 | PORTUGAL | 0 |
0%
|
| 179 | ROMANIA | 0 |
0%
|
| 180 | RUSSIAN FEDERATION | 0 |
0%
|
| 181 | SAINT KITTS AND NEVIS | 0 |
0%
|
| 182 | SAINT LUCIA | 0 |
0%
|
| 183 | SAINT VINCENT AND THE GRENADINES | 0 |
0%
|
| 184 | SAN MARINO | 0 |
0%
|
| 185 | SERBIA | 0 |
0%
|
| 186 | SLOVAKIA | 0 |
0%
|
| 187 | SLOVENIA | 0 |
0%
|
| 188 | SPAIN | 0 |
0%
|
| 189 | SWEDEN | 0 |
0%
|
| 190 | SWITZERLAND | 0 |
0%
|
| 191 | TAJIKISTAN | 0 |
0%
|
| 192 | THE FORMER YUGOSLAV REPUBLIC OF MACEDONIA | 0 |
0%
|
| 193 | TURKEY | 0 |
0%
|
| 194 | TURKMENISTAN | 0 |
0%
|
| 195 | UKRAINE | 0 |
0%
|
| 196 | UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND | 0 |
0%
|
| 197 | UZBEKISTAN | 0 |
0%
|
| 198 | ARGENTINA | 0 |
0%
|
| 199 | BELIZE | 0 |
0%
|
| 200 | BOLIVIA | 0 |
0%
|
| 201 | BRAZIL | 65 |
1.7%
|
| 202 | CANADA | 142 |
3.8%
|
| 203 | CHILE | 66 |
1.8%
|
| 204 | COLOMBIA | 179 |
4.8%
|
| 205 | COSTA RICA | 148 |
3.9%
|
| 206 | CUBA | 0 |
0%
|
| 207 | DOMINICA | 0 |
0%
|
| 208 | DOMINICAN REPUBLIC | 0 |
0%
|
| 209 | ECUADOR | 0 |
0%
|
| 210 | EL SALVADOR | 0 |
0%
|
| 211 | GUATEMALA | 0 |
0%
|
| 212 | HONDURAS | 0 |
0%
|
| 213 | MEXICO | 0 |
0%
|
| 214 | NICARAGUA | 0 |
0%
|
| 215 | PANAMA | 0 |
0%
|
| 216 | PARAGUAY | 0 |
0%
|
| 217 | PERU | 0 |
0%
|
| 218 | UNITED STATES OF AMERICA | 0 |
0%
|
| 219 | URUGUAY | 0 |
0%
|
| 220 | VENEZUELA, BOLIVARIAN REPUBLIC OF... | 0 |
0%
|
| 221 | ANTIGUA AND BARBUDA | 0 |
0%
|
| 222 | BAHAMAS | 0 |
0%
|
| 223 | BARBADOS | 0 |
0%
|
| 224 | GRENADA | 0 |
0%
|
| 225 | GUYANA | 0 |
0%
|
| 226 | AUSTRALIA | 0 |
0%
|
| 227 | FIJI | 0 |
0%
|
| 228 | NEW ZEALAND | 0 |
0%
|
| 229 | PALAU | 0 |
0%
|
| 230 | PAPUA NEW GUINEA | 0 |
0%
|
| 231 | HAITI | 0 |
0%
|
| 232 | JAMAICA | 0 |
0%
|
| 233 | SOLOMON ISLANDS | 0 |
0%
|
| 234 | TRINIDAD AND TOBAGO | 0 |
0%
|
| 235 | SAMOA | 0 |
0%
|
| 236 | TONGA | 0 |
0%
|
| 237 | TUVALU | 0 |
0%
|
| 238 | VANUATU | 0 |
0%
|
| 301 | 85 |
2.3%
|
|
| 302 | 13 |
0.3%
|
|
| 303 | 67 |
1.8%
|
|
| 304 | 4 |
0.1%
|
|
| 305 | 26 |
0.7%
|
|
| 306 | 35 |
0.9%
|
|
| 401 | 16 |
0.4%
|
|
| 402 | 6 |
0.2%
|
|
| 403 | 84 |
2.2%
|
|
| 404 | 14 |
0.4%
|
|
| 405 | 32 |
0.9%
|
|
| 406 | 67 |
1.8%
|
|
| 407 | 112 |
3%
|
|
| 408 | 74 |
2%
|
|
| 501 | 7 |
0.2%
|
|
| 502 | 11 |
0.3%
|
|
| 503 | 40 |
1.1%
|
|
| 601 | 123 |
3.3%
|
|
| 602 | 183 |
4.9%
|
|
| 603 | 148 |
3.9%
|
|
| 604 | 84 |
2.2%
|
|
| 605 | 162 |
4.3%
|
|
| 606 | 58 |
1.5%
|
|
| 701 | 15 |
0.4%
|
|
| 702 | 21 |
0.6%
|
|
| 703 | 24 |
0.6%
|
|
| 704 | 115 |
3.1%
|
|
| 705 | 33 |
0.9%
|
|
| 706 | 84 |
2.2%
|
|
| 707 | 58 |
1.5%
|
|
| 708 | 34 |
0.9%
|
|
| 709 | 62 |
1.7%
|
|
| 710 | 168 |
4.5%
|
|
| 711 | 26 |
0.7%
|
|
| 712 | 12 |
0.3%
|
|
| 713 | 64 |
1.7%
|
|
| 714 | 49 |
1.3%
|
|
| 801 | 169 |
4.5%
|
|
| 802 | 145 |
3.9%
|
|
| 803 | 148 |
3.9%
|
|
| 804 | 55 |
1.5%
|
|
| 900 | 121 |
3.2%
|
|
| 901 | 30 |
0.8%
|
|
| 902 | 22 |
0.6%
|
|
| 904 | 1 |
0%
|
|
| 940 | 1 |
0%
|
|
| 941 | 2 |
0.1%
|
|
| 960 | 10 |
0.3%
|
|
| 1001 | .A | 1 | |
| Sysmiss | 38171 |
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.