NUHDSS - INMIGRATION v1.0 APHRC-NUHDSS-INMIGRATION-v1.0 African Population and Health Research Center 2017-06-02 Nesstar Publisher Version 1.0, June 2017. NUHDSS-Inmigration Registration 2002-2015 NUHDSS-IMG 2002-2015 APHRC-NUHDSS-INMIGRATION-v1.0 African Population and Health Research Center

Residents of Korogocho and Viwandani Slums

Community leaders - chiefs and village elders

Copyright © APHRC, 2017 Nesstar Publisher Wellcome Trust Rockefeller Foundation (USA) William and Flora Hewlett Foundation (USA) Comic Relief (UK) Swedish International Development Cooperation The Bill and Melinda Gates Foundation (USA) Demographic and Health Survey [hh/dhs] KENYA Two informal settlements (slums) in Nairobi county, Kenya (specifically, Korogocho and Viwandani slums). All inmigrants The survey covers all the households in the DSA This includes the background, the repondent's particulars, origin of the inmigrant, characteristics of the inmigrant and the socio-economic information. Face-to-face [f2f] 1. Inmigration registration form Director of Research African Population and Health Research Center (APHRC), Nairobi Urban Health and Demographic Surveillance System - In-migration registration 2002-2015, Version 1.0 June 2017. doi:10.20369/aphrc-039:2003.1.01 The user should submit electronic and paper copies of all publications generated using APHRC data to the Policy Engagement and Communications Department, with copies to the Director of Research. The user of the data acknowledges that APHRC and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. In-migration_2002-2015.NSDstat The file contains data related to the identification of the in-migrant idividual,this includes the Background,the repondent's particulars,origin of the inmigrant,characteristics of the inmigrant and the socio-economic information. 165056 33 Nesstar 200801 African Population & Health Research Center (APHRC). V1.0 This tool was first administered in Round 1 which began on 1st December, 2002. BACKGROUND RESPONDENT'S PARTICULARS ORIGIN OF IN-MIGRANT NUHDSS individual (anonymizer all rounds) The field interviewer na na na na All households that had an in-migrant. 165056 0 NUHDSS individual id (anonymizer all rounds). round of interview (created from OBSERVATIONID) The field interviewer na na na na All households that had an in-migrant. 165056 0 1 41 20.947 10.808 The round of interview (created from OBSERVATIONID). round of inmigration The field interviewer na na na na All households that had an in-migrant. 165056 0 0 39 19.312 10.819 The round of the inmigration. slum area in NUHDSS The respondent na na na na All households that had an in-migrant. 165056 0 The slum area in NUHDSS. 1 korogocho 60813 2 viwandani 104243 9999995 missing:impute 0 date of interview (%td format) The field interviewer na na na Enter the date of the interview when you gather information for the in-migration form in the form DD/MM/YYYY. For example, December 4, 2004 should be entered as: 04/12/2004. All households that had an in-migrant. 165056 2002-08-01 2016-12-17 The date the interview was conducted. result of inmigration interview The respondent na RESULT OF INTERVIEW na Record the final result of the interview in the cell provided. The codes used are provided on CODE SHEET A7 All households that had an in-migrant. 165056 0 The final result of inmigration interview. 1 completed 141506 2 no competent respondent at home 2 3 entire hhd absent for extended period 1 4 refused 0 5 whereabouts unknown 0 6 structure owners/others refused access 0 96 other 0 99 NIU (not in universe) 0 9999995 missing:impute 23547 the respondent is the inmigrant The respondent na IS RESPONDENT THE IN-MIGRANT? IF 1 SKIP TO Q3.1 The In-Migration Form should be filled with the in-migrant him/herself as the respondent. You should make several attempts to meet the migrant and interview him/her. It is only when everything fails that you should resolve to interviewing a credible adult in the household. All households that had an in-migrant. 165056 0 Whether the respondent is the inmigrant. 0 no 0 1 yes 86362 2 no 63842 6 other 0 7 refused 0 8 don't know 0 9 NIU (not in universe) 0 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 14852 the respondent lives in the household The respondent na Do you live in the same household as (NAME OF IN-MIGRANT)? IF 1 SKIP TO 2.5 If the respondent is not the in-migrant ask if the in-migrants leave with him/her in the same household All households that had an in-migrant. 165056 0 Whether the respondent lives in the household same household as the inmigrant. 0 no 0 1 yes 56587 2 no 4855 6 other 0 7 refused 0 8 don't know 0 9 NIU (not in universe) 86362 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 17252 respondent's relationship to household head The respondent na IN-MIGRANT'S RELATIONSHIP TO HOUSEHOLD HEAD na Ask for the relationship of the in-migrant to the head of the household and record the code in the boxes provided. Get codes from CODE SHEET A1. All households that had an in-migrant. 165056 0 The respondent's relationship to the household head. 1 aunt 371 2 brother-in-law 105 3 brother 674 4 child 890 5 cousin 644 6 co-wife 7 7 daughter-in-law 7 8 grand child 3 9 grand parent 181 10 household head 0 11 husband 827 12 nephew 66 13 niece 38 14 not related 4023 15 parent 37702 16 parent-in-law 14 17 sister-in-law 268 18 sister 654 19 son-in-law 1 20 step child 0 21 step parent 27 22 uncle 182 23 wife 1407 24 other:great grand child 0 25 other:step sibling 0 26 other:boyfriend/girlfriend 0 51 non-related neighbour 3561 52 other non-related non-HHD member 6 53 other related non-HHD member 308 54 other HHD member 9767 55 related neighbour 474 56 sibling 4402 57 self 86362 58 spouse 11824 96 other 196 97 refused 0 98 don't know 4 99 NIU (not in universe) 0 9999995 missing:impute 61 date of inmigration (%td format) The respondent na DATE OF IN-MIGRATION (DD/MM/YYYY) na All households that had an in-migrant. 165056 2002-08-01 2015-12-31 The date of inmigration. year of inmigration The respondent na na na na All households that had an in-migrant. 165056 0 The year of inmigration. 2002 2712 2003 12823 2004 14804 2005 12911 2006 11691 2007 10937 2008 12828 2009 14769 2010 13439 2011 14085 2012 11303 2013 10513 2014 10478 2015 11763 9996 other 0 9997 refused 0 9998 don't know 0 9999 NIU (not in universe) 0 9999995 missing:impute 0 province in Kenya in which inmigrant was born The respondent na What province and district were you/(NAME) born? na Write down the NAME specifying the PROVINCE and DISTRICT where the in migrant was born. The NAME of area where migrant moved from should be recorded on the dotted line. All households that had an in-migrant. 165056 0 The province in Kenya in which inmigrant was born. 1 central 21636 2 coast 891 3 eastern 35388 4 nairobi 17555 5 north eastern 1402 6 nyanza 23633 7 rift valley 4963 8 western 19878 9 outside Kenya 1032 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 38678 district in Kenya in which inmigrant was born The respondent na What province and district were you/(NAME) born? na Write down the NAME specifying the PROVINCE and DISTRICT where the in migrant was born. The NAME of area where migrant moved from should be recorded on the dotted line. All households that had an in-migrant. 165056 0 The district in Kenya in which the inmigrant was born. 7 4 100 central province-district unknown 0 101 kiambu 2958 102 kirinyaga 818 103 maragua 1391 104 murang'a 10478 105 nyandarua 1546 106 nyeri 2602 107 thika 1843 108 nyahururu 0 109 limuru 0 110 nanyuki 0 111 kerugoya 0 200 coast province-district unknown 0 201 kilifi 56 202 kwale 50 203 lamu 28 204 malindi 42 205 mombasa 416 206 taita taveta 274 207 tana river 24 208 voi 0 209 shinyanga 0 210 changamwe 0 300 eastern province-district unknown 0 301 embu 849 302 isiolo 705 303 kitui 5751 304 machakos 16554 305 makueni 7598 306 marsabit 506 307 mbeere 392 310 meru 1542 311 moyale 656 312 mwingi 768 313 tharaka 65 314 kangundo 0 315 athi river 0 316 matuu 0 317 mwanza 0 318 mbooni 0 319 loitoktok 0 320 kibwezi 0 321 tala 0 322 ndhiwa 0 323 yatta 0 324 garba tula 0 400 nairobi province-district unknown 5160 401 central 604 402 dagoretti 178 403 embakasi 2617 404 kasarani 6348 405 kibera 280 406 makadara 1642 407 pumwani 634 408 westlands 89 500 north eastern province-district unknown 0 501 garissa 217 502 ijara 31 503 mandera 930 504 wajir 220 505 elwak 3 600 nyanza province-district unknown 0 601 bondo 1014 603 homa bay 1244 604 kisii central 4446 605 kisumu 2883 606 kuria 565 607 migori 1067 608 kisii 5084 609 nyando 647 610 karachuonyo 590 611 siaya 5927 612 suba 164 613 oyugis 0 614 ugenya 0 615 nyakach 0 616 alego 0 617 gem 0 618 kendu bay 0 619 ahero 0 620 asembo 0 621 gwasi 0 700 rift valley province-district unknown 0 701 baringo 51 702 bomet 261 703 bureti 22 704 kajiado 387 705 keiyo 48 706 kericho 225 707 koibatek 64 708 laikipia 245 709 nakuru 2019 711 nandi 256 712 narok 175 713 samburu 30 714 transmara 46 715 trans nzoia 744 716 turkana 36 717 uasin gishu 335 718 west pokot 8 719 kitale 0 720 molo 0 721 bureti 0 722 kinangop 0 723 nyambene 0 724 maseno 0 725 kapsabet 0 800 western province-district unknown 0 801 bungoma 1864 802 busia 3436 803 butere/mumias/bunyore 4893 804 kakamega 4702 805 lugari 488 806 elgon 590 807 teso 226 808 vihiga 3679 809 webuye 0 810 amagoro 0 900 outside Kenya 1012 9996 other 0 9997 refused 17 9998 don't know 49 9999 NIU (not in universe) 0 9999995 missing:impute 38648 type of area in Kenya in which inmigrant was born The respondent na RECORD CODE FOR PLACE OF BIRTH na na All households that had an in-migrant. 165056 0 The type of area in Kenya in which inmigrant was born. 1 within same DSA slum 6582 2 other DSA slum 61 3 non-DSA nairobi slum 3452 4 nairobi non-slum 7874 5 other urban Kenya 3967 6 rural Kenya 138615 7 outside Kenya 1059 96 other 0 97 refused 0 98 don't know 3223 99 NIU (not in universe) 0 9999995 missing:impute 223 province in Kenya from which inmigrated from The respondent na What is the name of the area where you/(NAME) used to live before moving here? na Ask the in-migrant to give the Name of the area where he/she has moved from. Avoid asking the migrant “where are you from” or “what is your area of origin”, otherwise he/she might be providing you with the name of his/her hometown/village. A migrant who is moving from Mombasa may tell you that he is from Thika if you do not ask him/her where he/she is migrating from All households that had an in-migrant. 165056 0 The province in Kenya from which inmigrated is from. 1 central 19476 2 coast 1819 3 eastern 31689 4 nairobi 61477 5 north eastern 1595 6 nyanza 21881 7 rift valley 6376 8 western 17365 9 outside Kenya 830 96 other 0 97 refused 2 98 don't know 1127 99 NIU (not in universe) 0 9999995 missing:impute 1419 district in Kenya from which inmigrated from The respondent na What is the name of the area where you/(NAME) used to live before moving here? na Ask the in-migrant to give the Name of the area where he/she has moved from. Avoid asking the migrant "where are you from" or "what is your area of origin", otherwise he/she might be providing you with the name of his/her hometown/village. A migrant who is moving from Mombasa may tell you that he is from Thika if you do not ask him/her where he/she is migrating from All households that had an in-migrant. 165056 0 The district in Kenya from which inmigrated is from. 7 4 8 1 100 central province-district unknown 9 101 kiambu 3182 102 kirinyaga 619 103 maragua 1256 104 murang'a 7897 105 nyandarua 1375 106 nyeri 2316 107 thika 2661 108 nyahururu 58 109 limuru 9 110 nanyuki 8 111 kerugoya 10 200 coast province-district unknown 4 201 kilifi 60 202 kwale 50 203 lamu 27 204 malindi 73 205 mombasa 1309 206 taita taveta 252 207 tana river 33 208 voi 7 209 shinyanga 0 210 changamwe 4 300 eastern province-district unknown 2 301 embu 789 302 isiolo 777 303 kitui 5186 304 machakos 13708 305 makueni 7291 306 marsabit 434 307 mbeere 401 310 meru 1327 311 moyale 709 312 mwingi 792 313 tharaka 45 314 kangundo 30 315 athi river 5 316 matuu 9 317 mwanza 9 318 mbooni 8 319 loitoktok 11 320 kibwezi 7 321 tala 7 322 ndhiwa 0 323 yatta 4 324 garba tula 0 400 nairobi province-district unknown 17211 401 central 2161 402 dagoretti 867 403 embakasi 20648 404 kasarani 11231 405 kibera 1662 406 makadara 4922 407 pumwani 2205 408 westlands 570 500 north eastern province-district unknown 0 501 garissa 256 502 ijara 22 503 mandera 1064 504 wajir 233 505 elwak 12 508 3 600 nyanza province-district unknown 14 601 bondo 1053 603 homa bay 1159 604 kisii central 2889 605 kisumu 2764 606 kuria 457 607 migori 1038 608 kisii 4574 609 nyando 660 610 karachuonyo 671 611 siaya 6294 612 suba 183 613 oyugis 10 614 ugenya 10 615 nyakach 8 616 alego 7 617 gem 0 618 kendu bay 5 619 ahero 3 620 asembo 2 621 gwasi 3 700 rift valley province-district unknown 0 701 baringo 29 702 bomet 229 703 bureti 17 704 kajiado 1190 705 keiyo 42 706 kericho 247 707 koibatek 42 708 laikipia 269 709 nakuru 2565 711 nandi 232 712 narok 190 713 samburu 31 714 transmara 40 715 trans nzoia 702 716 turkana 36 717 uasin gishu 431 718 west pokot 6 719 kitale 25 720 molo 11 721 bureti 13 722 kinangop 7 723 nyambene 0 724 maseno 0 725 kapsabet 0 800 western province-district unknown 0 801 bungoma 1454 802 busia 3313 803 butere/mumias/bunyore 4465 804 kakamega 3643 805 lugari 366 806 elgon 462 807 teso 182 808 vihiga 3394 809 webuye 11 810 amagoro 3 900 outside Kenya 812 9996 other 0 9997 refused 15 9998 don't know 409 9999 NIU (not in universe) 0 9999995 missing:impute 2527 type of area in Kenya from which inmigrated from The respondent na RECORD CODE FOR AREA OF ORIGIN IN Q3.4 IF ANSWER IS 3, 4, 5, 6, OR 7, SKIP TO Q3.7 na All households that had an in-migrant. 165056 0 The type of area in Kenya from which inmigrated is from. 1 within same DSA slum 4229 2 other DSA slum 190 3 non-DSA nairobi slum 23772 4 nairobi non-slum 33306 5 other urban Kenya 7864 6 rural Kenya 91684 7 outside Kenya 863 96 other 0 97 refused 0 98 don't know 3131 99 NIU (not in universe) 0 9999995 missing:impute 17 village in nairobi slum from which inmigrated The respondent IF CODE IN Q3.5 IS 1 OR 2 What is name of the village of whereyou/(NAME) lived before moving here? RECORD CODE FOR VILLAGE OF ORIGIN Record the name of the village where the respondent lived before coming to the current area. State the most recent area the respondent lived before moving to the current area All households that had an in-migrant. 165056 0 The village in nairobi slum from which the inmigrated is from. 1 vw:paradise-(V01:V007-V009) 74 2 vw:sinai-(V02:V010-V014) 85 3 vw:jamaica-(V03:V015-V019) 21 4 vw:lunga lunga-(V04:V020-V031) 71 5 vw:donholm-(V05:V033-V039) 44 6 vw:kingstone-(V06:V040 & V140) 102 7 vw:industrial area-dsa-(V07:V032) 41 8 vw:industral area-nondsa-(V08:V001-V006) 0 9 lm:bandari-(L01:L038) 0 10 lm:bunyala-(L02:L041) 4 11 lm:commercial-(L03:L026-L033) 44 12 lm:dakar-(L04:L055) 5 13 lm:enter-fact-(L05:L058) 0 14 lm:homabay-(L06:L057) 0 15 lm:industrial area:posta-(L07:L037) 7 16 lm:industrial area:bandari-(L08:L054) 8 17 lm:kabirira-(L09:L034 & L036) 3 18 lm:kaiyaba-(L10:L001-L011, L013-L022) 1497 19 lm:kitui-(L11:L059) 1 20 lm:landimawe-(L12:L044-L046, L048-L052) 30 21 lm:likoni-(L13:L060) 8 22 lm:national cereal-(L14:L043) 11 23 lm:police-(L15:L042) 15 24 lm:shimo la tewa-(L16:L040) 0 25 gt:grogan A-(G01:G001-G005) 11 26 gt:grogan B-(G02:G006-G021) 9 27 gt:gitathuru C-(G03:G022-G033) 28 28 gt:ngomongo-nondsa-(G04:G049-G050) 1483 29 gt:ngunyumu V-nondsa-(G05:G034-G048) 164 30 ny:nyayo/kisumu ndogo-(Y01:Y001-Y018) 21 31 ny:korogocho A-(Y02:Y019-Y038) 24 32 kg:korogocho AB-(Y03:Y039-Y043) 18 33 kg:highridge-(Y04:Y044-Y069) 78 40 nondsa village 0 96 other 0 97 refused 0 98 don't know 1 99 NIU (not in universe) 160644 9999995 missing:impute 504 duration of stay (months) at place from which inmigrated The respondent For how long did you/(NAME) live in (NAME OF PLACE IN Q3.4)? na All households that had an in-migrant. 165056 0 The duration of stay (months) at place from which the inmigrated came from. 0 less than 1 month 116 1 635 2 1246 3 1092 4 1691 5 1499 6 1756 7 873 8 936 9 692 10 325 11 235 12 7164 13 540 14 828 15 333 16 356 17 221 18 655 19 132 20 244 21 126 22 93 23 42 24 8670 25 232 26 501 27 257 28 261 29 92 30 403 31 83 32 103 33 64 34 64 35 28 36 4155 37 115 38 348 39 105 40 166 41 41 42 161 43 51 44 39 45 35 46 38 47 14 48 3542 49 57 50 233 51 144 52 97 53 47 54 124 55 19 56 39 57 29 58 21 59 5 60 2122 61 22 62 81 63 32 64 51 65 33 66 61 67 17 68 15 69 13 70 12 71 5 72 1169 73 29 74 109 75 38 76 42 77 26 78 34 79 21 80 17 81 10 82 11 83 6 84 717 85 7 86 41 87 18 88 11 89 1 90 23 91 8 92 10 93 6 94 2 95 3 96 622 97 16 98 27 99 12 100 9 101 4 102 11 103 4 104 8 105 7 106 4 107 2 108 368 109 5 110 30 111 2 112 10 113 1 114 7 115 3 116 7 117 8 118 4 119 1 120 1033 121 20 122 29 123 10 124 14 125 6 126 22 127 1 128 5 129 7 130 7 132 78 133 2 134 6 135 1 136 3 137 1 138 6 139 2 141 1 142 1 143 4 144 187 146 6 147 4 150 3 151 2 152 1 156 102 158 3 159 2 162 3 163 2 164 1 165 1 166 1 168 116 170 2 171 1 172 1 174 1 178 1 180 370 181 1 182 2 183 1 184 3 185 1 186 5 187 1 188 3 190 1 192 169 193 1 194 7 195 1 197 1 198 3 202 1 204 161 207 1 209 1 210 1 216 213 217 2 218 2 220 2 222 7 226 2 228 104 230 1 231 1 232 1 234 3 235 1 236 2 239 1 240 719 241 5 242 11 243 2 244 6 245 1 246 9 247 1 248 2 249 1 250 1 251 1 252 45 253 2 254 1 255 1 256 4 257 1 258 3 259 3 260 1 261 2 264 96 267 1 268 2 270 2 272 1 274 1 276 56 278 2 279 3 280 4 281 2 282 4 284 2 285 1 288 58 290 1 291 2 292 1 293 1 294 1 300 161 301 1 302 1 303 4 305 1 306 1 308 2 312 32 314 1 315 2 316 1 320 1 324 26 326 1 327 4 328 2 336 19 337 1 338 2 340 2 344 1 348 13 349 1 352 1 354 3 360 145 362 3 363 1 366 2 372 7 384 12 385 1 386 1 394 1 395 1 396 4 398 1 399 1 400 1 401 1 402 1 408 10 409 2 410 1 420 20 426 1 429 1 432 5 444 3 456 8 458 1 468 3 472 1 474 1 480 50 484 2 486 1 492 2 504 1 520 1 528 1 540 6 564 3 600 22 624 1 648 1 672 1 696 1 720 4 728 1 732 1 780 4 813 1 828 1 840 3 960 3 968 1 972 1 1068 2 9991 since birth 40614 9993 rest of life 0 9994 no duration given 0 9996 other 0 9997 refused 71 9998 don't know 1808 9999 NIU (not in universe) 0 9999995 missing:impute 69877 reason for outmigrating The respondent na What was the most important reason why you/(NAME) left (NAME OF PLACE OF ORIGIN)? na All households that had an in-migrant. 165056 0 The reason for outmigrating. 10 to be with family/friend 79309 11 other family:to attend burial/death of family member 0 12 other family:to be in rural home 0 13 other family:was visitor 0 14 other family:married/to be with spouse 0 15 other family:abandoned/orphaned/widowe(re)d 0 16 other family:household member(s) dispersed 0 20 insecurity 933 21 other insecurity:arrested/lynched/theft 0 22 other insecurity:demolitions/fires/damaged/sold 0 23 other insecurity:released from prison/rehabilitation 0 30 poor housing conditions/amenities/environment 5578 31 other housing:bought/sold/built/free structure 0 40 poor job/business prospects 53497 41 other job/business:to farm/look after homestead 0 42 other job/business:retired/on leave 0 43 other job/business:higher income levels 0 44 other job/business:transferred/housed by employer 0 50 high cost of living 4587 51 rent expensive/evicted 5785 60 poor health services 257 63 to seek medical care 283 64 pregnant female left to deliver 37 65 other health:fell ill/was injured 0 66 other health:born in DSA 5 70 inaccessible/far from road/services 4029 71 other inaccessibility:too far/expensive from work/school 0 80 to attend school/college/training 5069 81 other schooling:completed/closed school/training 0 82 other: dropped out/failed/expelled school/training 0 91 for a change/independence 2074 100 civil/other forms of conflict 766 101 other conflict:marital discord 0 996 other 175 997 refused 13 998 don't know 2626 999 NIU (not in universe) 0 9999995 missing:impute 33 reason for inmigrating to Nairobi The respondent FW: CHECK CODE IN 3.5: IF PREVIOUS RESIDENCE WAS IN NAIROBI (I.E. 1, 2, 3, OR 4) SKIP TO Q3.10 What is the most important reason why you/(NAME) came to live in Nairobi? na All households that had an in-migrant. 165056 0 The reason for inmigrating to Nairobi. 10 to be with family/friend 52191 11 other family:to attend burial/death of family member 0 12 other family:to be in urban home 0 13 other family:is visitor 0 14 other family:married/to be with spouse 0 15 other family:adopted 0 16 other family:household member(s) all here 0 20 security is better here 71 21 other security:fewer arrests/lynchings 0 22 other security:fewer demolitions/fires 0 23 other insecurity:ideal after release from prison/rehabilitation 0 24 other security:feels safer/familiar 0 30 better housing conditions/amenities/environment 328 31 other housing:bought/sold/built/free structure 0 40 better job/business prospects 41856 41 other job/business:to farm/look after homestead 0 42 other job/business:retired/on leave 0 43 other job/business:higher income levels 0 44 other job/business:transferred/housed by employer 0 50 low general cost of living 382 51 rent is cheap/rooms available 190 60 health services & environment are good 170 63 was sick and needed medical/other care here 188 64 pregnant female came here to deliver 23 65 other health:fell ill/was injured 0 66 other health:born in DSA 2 70 accessible/close to the road/services 873 71 other accessibility:near/cheaper from work/school 0 80 to attend school/college/training 4097 81 other schooling:completed/closed school/training 0 82 other: dropped out/failed/expelled school/training 0 91 for a change/independence 672 100 fewer civil conflicts 17 101 other conflict:marital discord 0 996 other 94 997 refused 1 998 don't know 390 999 NIU (not in universe) 61497 9999995 missing:impute 2014 reason for inmigrating to DSA (Korogocho/Viwandani) The respondent na What is the most important reason why you/(NAME) came to live in Korogocho/Viwandani? na Ask for the most important reason why the individual came to live in Korogocho/Viwandani. Write legibly and in CAPITALS. Write the corresponding code for the reason in the box provided. Get codes from CODE SHEET A3 All households that had an in-migrant. 165056 0 The reason for inmigrating to DSA (Korogocho/Viwandani). 10 to be with family/friend 101528 11 other family:to attend burial/death of family member 0 12 other family:to be in urban home 0 13 other family:is visitor 0 14 other family:married/to be with spouse 0 15 other family:adopted 0 16 other family:household member(s) all here 0 20 security is better here 728 21 other security:fewer arrests/lynchings 0 22 other security:fewer demolitions/fires 0 23 other insecurity:ideal after release from prison/rehabilitation 0 24 other security:feels safer/familiar 0 30 better housing conditions/amenities/environment 6502 31 other housing:bought/sold/built/free structure 0 40 better job/business prospects 17822 41 other job/business:to farm/look after homestead 0 42 other job/business:retired/on leave 0 43 other job/business:higher income levels 0 44 other job/business:transferred/housed by employer 0 50 low general cost of living 14643 51 rent is cheap/rooms available 17750 60 health services & environment are good 121 63 was sick and needed medical/other care here 44 64 pregnant female came here to deliver 5 65 other health:fell ill/was injured 0 66 other health:born in DSA 6 70 accessible/close to the road/services 1907 71 other accessibility:near/cheaper from work/school 0 80 to attend school/college/training 615 81 other schooling:completed/closed school/training 1 82 other: dropped out/failed/expelled school/training 0 91 for a change/independence 530 100 fewer civil conflicts 7 101 other conflict:marital discord 0 996 other 177 997 refused 14 998 don't know 2622 999 NIU (not in universe) 0 9999995 missing:impute 34 since August 2002, inmigrant has ever lived in DSA The respondent na Have you/(NAME) ever lived in any (OTHER) parts of Korogocho or Viwandani since August 2002? IF 2; SKIP TO 3.13 Write the answer “N” or “Y” in the box provided. Skip to Q 3.13 if the answer is “N” . All households that had an in-migrant. 165056 0 Whether since August 2002 the inmigrant has ever lived in DSA. 0 no 0 1 yes 27912 2 no 112892 6 other 0 7 refused 0 8 don't know 843 9 NIU (not in universe) 0 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 23409 duration of stay (months) in DSA at last stay The respondent FW: A STAY REFERS TO RESIDENCY IN THE DSA FOR AT LEAST 4 MONTHS Record the days/weeks/months the respondent has lived in Korogocho All households that had an in-migrant. 165056 0 The duration of stay (months) in DSA at last stay. 0 less than 1 month 31 1 85 2 109 3 124 4 332 5 271 6 342 7 276 8 286 9 193 10 157 11 127 12 1571 13 177 14 219 15 122 16 177 17 118 18 208 19 107 20 96 21 104 22 66 23 48 24 1770 25 77 26 102 27 60 28 108 29 49 30 99 31 41 32 77 33 41 34 40 35 33 36 1154 37 32 38 76 39 52 40 67 41 44 42 35 43 41 44 36 45 33 46 23 47 11 48 977 49 25 50 53 51 30 52 33 53 23 54 55 55 24 56 30 57 18 58 23 59 15 60 778 61 17 62 33 63 15 64 16 65 20 66 28 67 12 68 11 69 12 70 12 71 5 72 537 73 25 74 37 75 15 76 18 77 10 78 38 79 10 80 24 81 4 82 10 83 6 84 362 85 10 86 28 87 7 88 24 89 7 90 19 91 16 92 7 93 9 94 6 95 6 96 367 97 5 98 14 99 6 100 4 101 5 102 13 103 3 104 3 105 8 106 4 107 2 108 225 109 5 110 16 111 5 112 7 113 2 114 3 115 5 116 4 117 5 118 4 119 3 120 605 121 5 122 28 123 5 124 2 125 3 126 6 127 1 128 9 129 5 130 8 131 8 132 100 133 4 134 6 135 2 136 1 137 2 138 4 140 1 141 2 142 2 143 1 144 133 145 1 146 6 147 2 149 1 150 3 151 1 153 1 154 1 155 1 156 85 158 5 161 2 162 1 163 1 164 1 165 2 166 1 168 105 170 4 173 2 174 5 176 1 177 1 180 177 181 2 182 4 185 1 186 2 187 1 190 1 191 1 192 93 193 1 194 2 197 2 198 2 200 1 201 1 204 57 206 2 208 1 209 1 213 1 214 1 216 85 217 3 220 1 222 2 228 42 230 1 232 1 234 3 235 1 240 292 242 1 243 2 246 2 248 1 252 44 254 1 256 1 258 1 260 1 264 36 267 1 270 1 276 39 278 1 288 37 290 1 293 1 294 1 299 1 300 40 303 1 304 1 306 1 312 18 315 1 318 1 324 12 325 1 326 2 328 1 336 23 348 13 349 1 360 37 372 6 384 7 393 1 396 3 408 2 409 1 411 1 420 2 432 3 433 1 437 1 444 2 456 1 468 1 480 1 9991 since birth 0 9993 rest of life 0 9994 no duration given 0 9996 other 0 9997 refused 21 9998 don't know 469 9999 NIU (not in universe) 113735 9999995 missing:impute 34846 date of outmigation (%td format) from DSA at last stay The respondent na On what date did you leave Korogocho/Viwandani (DSA) after that stay? na na All households that had an in-migrant. 15270 2002-08-17 2017-11-30 The date of outmigation from DSA at last stay. inmigrant moved to DSA temporarily or to stay The respondent na Have you moved to stay here or are you here temporarily? na na All households that had an in-migrant. 165056 0 Whether the inmigrant moved to DSA temporarily or to stay. 1 moved to stay 22782 2 just here temporarily 3395 6 other 0 7 refused 0 8 don't know (unsure) 8103 9 NIU (not in universe) 0 9999995 missing:impute 130776 duration of intended stay (months) in DSA this time around The respondent How much longer do you/(NAME) intend to stay in Korogocho/Viwandani from today? na na All households that had an in-migrant. 165056 0 The duration of intended stay (months) in DSA this time around. 0 less than 1 month 65 1 286 2 79 3 24 4 12 5 6 6 10 7 4 8 4 9 3 11 1 12 37 13 2 18 4 24 26 27 1 36 17 39 1 48 13 60 18 63 1 66 3 72 3 96 1 108 4 117 1 120 11 168 1 240 1 600 1 1056 1 1068 1 9991 since birth 0 9993 rest of life 1356 9994 no duration given 131 9996 other 0 9997 refused 12 9998 don't know 11198 9999 NIU (not in universe) 0 9999995 missing:impute 151717 person(s) with whom inmigrant moved The respondent na Did you/(NAME) move here (A) alone, (W) with whole previous household, or (P) with part of the previous household? na na All households that had an in-migrant. 165056 0 Person(s) with whom inmigrant moved. 1 alone 59499 2 whole hhd 68962 3 part of previous hhd 33035 4 other hhd living in DSA 534 5 other hhd living outside DSA 0 96 other 880 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 2146 inmigrant's aim for moving The respondent na na na na All households that had an in-migrant. 165056 0 What is the inmigrant's aim for moving. 1 form a new household 77381 2 join a household 73624 3 relocate the same household 12343 6 other 0 7 refused 0 8 don't know 1688 9 NIU (not in universe) 0 9999995 missing:impute 20 inmigrant formed an arbitrary household The respondent na IS THIS AN ARBITRARY HOUSEHOLD? na na All households that had an in-migrant. 165056 0 Whether the in-migrant formed an arbitrary household. 0 no 0 1 yes 1214 2 no 93997 6 other 0 7 refused 0 8 don't know 2 9 NIU (not in universe) 64656 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 5187 inmigrant had an income-generating activity before inmigrating The respondent na Were you/was(NAME) involved in any income generating activity before moving here? IF 2; SKIP TO Q5.12 This is a yes/no question. If the answer is No (2) skip to 5.12 otherwise continue to question5.11. Note that this question seeks to know the past income generating activities of the in migrant prior to moving in the NUHDSS area. All households that had an in-migrant. 165056 0 1 9999995 1795030.458 3837734.795 Whether inmigrant had an income-generating activity before inmigrating. 0 no 0 1 yes 28085 2 no 42687 6 other 0 7 refused 0 8 don't know 0 9 NIU (not in universe) 64656 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 29628 inmigrant's type of income-generating activity before inmigrating The respondent na What was the main income generating activity that you were/(NAME) was involved in? na From the answers provided form the respondents, classify this answers to match the preset coded answers provided in the questionnaire. Caution should be given to capture the main income generating activity. All households that had an in-migrant. 165056 0 0 no IGA 42687 1 own business:unestablished 3021 2 own business:established 1831 3 informal:casual 10459 4 informal:salaried 2033 5 formal:casual 6008 6 formal:salaried 2446 7 agriculture:rural 2023 8 agriculture:urban 30 96 other 93 97 refused 0 98 don't know 0 99 NIU (not in universe) 64656 9999995 missing:impute 29769 duration of wait (weeks) before first income generating activity in DSA The respondent na How long did it take you/(NAME) to get involved in the first income generating activity after moving into this community? na This question seeks to find out the duration it took the in migrant to start the first income generating activity after moving in the area. Record the number of weeks and months. All households that had an in-migrant. 165056 0 The duration of wait (weeks) before first income generating activity in DSA. 0 less than 1 week 7708 1 3386 2 2956 3 1108 4 5022 5 519 6 359 7 101 8 2914 9 170 10 145 11 54 12 4 13 988 14 20 15 54 16 24 17 570 18 7 19 28 20 15 21 241 22 1 23 10 24 2 26 149 27 9 28 8 29 4 30 69 32 1 33 1 34 36 35 3 36 1 39 52 42 1 43 22 44 1 47 1 48 5 52 37 53 1 60 2 68 2 69 2 74 1 78 1 82 1 83 1 86 2 89 3 104 6 130 2 138 1 156 2 169 1 173 1 208 2 219 1 299 3 320 2 352 1 381 2 9990 haven't worked since coming to DSA 21728 9991 since birth 0 9993 rest of life 0 9994 no duration given 0 9996 other 0 9997 refused 22 9998 don't know 1463 9999 NIU (not in universe) 102358 9999995 missing:impute 12639