NUHDSS - OUTMIGRATION v1.0 APHRC-NUHDSS-OUTMIGRATION-v1.0 African Population and Health Research Center 2017-02-23 Nesstar Publisher Version 1.0, March 2017. NUHDSS - Outmigration Registration 2002-2015 NUHDSS-OMG 2002-2015 APHRC-NUHDSS-OUTMIGRATION-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 outmigrants The survey covers all the households in the DSA This includes the Background characteristics for the identification of the household, the reason and destination of outmigrant. Face-to-face [f2f] 1. Outmigration registration form Director of Research African Population and Health Research Center (APHRC), Nairobi Urban Health and Demographic Surveillance System - Outmigration registration 2002-2015, Version 1.0 June 2017. doi:10.20369/aphrc-038:2003.1.01 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. Outmigration_2002-2015.NSDstat The file contains data related to the Background characteristics for the identification of the household, the reason and destination of out migrant. 174786 25 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 All households RESPONDENT'S PARTICULARS DESTINATION AND MAIN RESON FOR OUT-MIGRATION NUHDSS individual (anonymizer all rounds) The field interviewer na ID OF OUT-MIGRANT na Record the full ID for the out-migrant in the boxes provided. Pick the ID from the HRB. In some instances, you may not find an ID in the HRB if, for instance, a migrant who moved into the household and left before we were able to catch-up with his/her ID. In this case, you should fill a Q for the ID of such a chain migrant. All households that had an out-migrant. 174786 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 out-migrant. 174786 0 0 41 22.206 10.461 The round of interview (created from OBSERVATIONID). round of outmigration The field interviewer na na na na All households that had an out-migrant. 174786 0 0 39 20.064 10.847 The round of outmigration. slum area in NUHDSS The field interviewer na na na na All households that had an out-migrant. 174786 0 Slum area in NUHDSS. 1 korogocho 68445 2 viwandani 106337 9999995 missing:impute 4 date of interview (%td format) The field interviewer na DATE OF INTERVIEW (DD/MM/YYYY) na Enter the date of the interview when you gather information for the out-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 out-migrant. 174786 2002-08-09 2016-12-18 The date of interview. result of outmigration interview The respondent na RESULT OF INTERVIEW na Write the results of the interview in the box at the end of the question. Get the codes from CODE SHEET A7. All households that had an out-migrant. 174786 0 The result of the outmigration interview. 1 completed 156699 2 no competent respondent at home 1 3 entire hhd absent for extended period 0 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 18086 the respondent is the outmigrant The respondent na IS THE RESPONDENT THE OUT-MIGRANT? IF 1 SKIP TO 3.1 Ask whether the respondent is the out-migrant and code N=NO or Y=YES in the box provided. If the answer is “Y” skip to 3.1 All households that had an out-migrant. 174786 0 Whether the respondent is the outmigrant. 0 no 0 1 yes 1456 2 no 155394 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 17936 the respondent lives in the household The respondent na Do you live in the same household as (NAME OF OUT-MIGRANT)? IF 1 SKIP TO 2.5 na All households that had an out-migrant. 174786 0 Whether the respondent lives in the household. 0 no 0 1 yes 36196 2 no 117225 6 other 0 7 refused 0 8 don't know 0 9 NIU (not in universe) 1456 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 19909 respondent's relationship to household head The respondent na na na na All households that had an out-migrant. 174786 0 The respondent's relationship to household head. 1 aunt 202 2 brother-in-law 119 3 brother 336 4 child 895 5 cousin 289 6 co-wife 24 7 daughter-in-law 6 8 grand child 11 9 grand parent 88 10 household head 0 11 husband 623 12 nephew 46 13 niece 24 14 not related 13543 15 parent 16076 16 parent-in-law 14 17 sister-in-law 154 18 sister 341 19 son-in-law 0 20 step child 0 21 step parent 21 22 uncle 166 23 wife 71 24 other:great grand child 0 25 other:step sibling 0 26 other:boyfriend/girlfriend 0 51 non-related neighbour 112931 52 other non-related non-HHD member 200 53 other related non-HHD member 577 54 other HHD member 13324 55 related neighbour 1798 56 sibling 5350 57 self 1456 58 spouse 5903 96 other 141 97 refused 0 98 don't know 4 99 NIU (not in universe) 0 9999995 missing:impute 53 province in Kenya to which outmigrated The respondent IF THE OUT MIGRANT MOVED OUTSIDE KENYA, CODE 9 IN PROVINCE AND 999 UNDER DISTRICT What is the name of the area where (NAME) went to? na All households that had an out-migrant. 174786 0 The province in Kenya to which the outmigrant moved to. 1 central 14665 2 coast 1724 3 eastern 23670 4 nairobi 94713 5 north eastern 1466 6 nyanza 18137 7 rift valley 3762 8 western 12934 9 outside Kenya 1157 96 other 0 97 refused 0 98 don't know 951 99 NIU (not in universe) 0 9999995 missing:impute 1607 district in Kenya to which outmigrated The respondent IF THE OUT MIGRANT MOVED OUTSIDE KENYA, CODE 9 IN PROVINCE AND 999 UNDER DISTRICT What is the name of the area where (NAME) went to? na All households that had an out-migrant. 174786 0 The district in Kenya to which the outmigrant moved to. 100 central province-district unknown 0 101 kiambu 2671 102 kirinyaga 472 103 maragua 842 104 murang'a 6362 105 nyandarua 864 106 nyeri 1353 107 thika 1912 108 nyahururu 25 109 limuru 7 110 nanyuki 4 111 kerugoya 1 200 coast province-district unknown 0 201 kilifi 46 202 kwale 28 203 lamu 30 204 malindi 36 205 mombasa 1381 206 taita taveta 178 207 tana river 20 208 voi 1 209 shinyanga 0 210 changamwe 0 300 eastern province-district unknown 1 301 embu 513 302 isiolo 898 303 kitui 3203 304 machakos 11512 305 makueni 4588 306 marsabit 313 307 mbeere 253 310 meru 949 311 moyale 633 312 mwingi 421 313 tharaka 25 314 kangundo 32 315 athi river 3 316 matuu 6 317 mwanza 7 318 mbooni 5 319 loitoktok 3 320 kibwezi 4 321 tala 1 322 ndhiwa 0 323 yatta 4 324 garba tula 0 400 nairobi province-district unknown 21359 401 central 1639 402 dagoretti 565 403 embakasi 43437 404 kasarani 18949 405 kibera 734 406 makadara 5932 407 pumwani 1712 408 westlands 383 500 north eastern province-district unknown 0 501 garissa 292 502 ijara 28 503 mandera 937 504 wajir 185 505 elwak 14 600 nyanza province-district unknown 6 601 bondo 944 603 homa bay 880 604 kisii central 2240 605 kisumu 3041 606 kuria 458 607 migori 671 608 kisii 2206 609 nyando 526 610 karachuonyo 460 611 siaya 6340 612 suba 115 613 oyugis 2 614 ugenya 10 615 nyakach 8 616 alego 2 617 gem 6 618 kendu bay 1 619 ahero 0 620 asembo 0 621 gwasi 0 700 rift valley province-district unknown 0 701 baringo 20 702 bomet 117 703 bureti 23 704 kajiado 914 705 keiyo 21 706 kericho 136 707 koibatek 40 708 laikipia 150 709 nakuru 1378 711 nandi 75 712 narok 160 713 samburu 23 714 transmara 12 715 trans nzoia 302 716 turkana 30 717 uasin gishu 293 718 west pokot 5 719 kitale 22 720 molo 3 721 bureti 5 722 kinangop 4 723 nyambene 0 724 maseno 0 725 kapsabet 0 800 western province-district unknown 0 801 bungoma 924 802 busia 2541 803 butere/mumias/bunyore 3087 804 kakamega 3584 805 lugari 243 806 elgon 299 807 teso 164 808 vihiga 1907 809 webuye 12 810 amagoro 0 900 outside Kenya 1156 9996 other 0 9997 refused 1 9998 don't know 691 9999 NIU (not in universe) 0 9999995 missing:impute 2755 village in nairobi slum to which outmigrated The respondent IF THE OUT MIGRANT MOVED OUTSIDE KENYA, CODE 9 IN PROVINCE AND 999 UNDER DISTRICT What is the name of the area where (NAME) went to? na All households that had an out-migrant. 174786 0 The village in nairobi slum to which the outmigrant moved to. 1 vw:paradise-(V01:V007-V009) 4 2 vw:sinai-(V02:V010-V014) 5 3 vw:jamaica-(V03:V015-V019) 1 4 vw:lunga lunga-(V04:V020-V031) 2 5 vw:donholm-(V05:V033-V039) 5 6 vw:kingstone-(V06:V040 & V140) 36 7 vw:industrial area-dsa-(V07:V032) 7 8 vw:industral area-nondsa-(V08:V001-V006) 22 9 lm:bandari-(L01:L038) 5 10 lm:bunyala-(L02:L041) 0 11 lm:commercial-(L03:L026-L033) 20 12 lm:dakar-(L04:L055) 0 13 lm:enter-fact-(L05:L058) 0 14 lm:homabay-(L06:L057) 0 15 lm:industrial area:posta-(L07:L037) 2 16 lm:industrial area:bandari-(L08:L054) 0 17 lm:kabirira-(L09:L034 & L036) 2 18 lm:kaiyaba-(L10:L001-L011, L013-L022) 2304 19 lm:kitui-(L11:L059) 0 20 lm:landimawe-(L12:L044-L046, L048-L052) 5 21 lm:likoni-(L13:L060) 0 22 lm:national cereal-(L14:L043) 0 23 lm:police-(L15:L042) 11 24 lm:shimo la tewa-(L16:L040) 0 25 gt:grogan A-(G01:G001-G005) 8 26 gt:grogan B-(G02:G006-G021) 10 27 gt:gitathuru C-(G03:G022-G033) 106 28 gt:ngomongo-nondsa-(G04:G049-G050) 2510 29 gt:ngunyumu V-nondsa-(G05:G034-G048) 247 30 ny:nyayo/kisumu ndogo-(Y01:Y001-Y018) 2 31 ny:korogocho A-(Y02:Y019-Y038) 0 32 kg:korogocho AB-(Y03:Y039-Y043) 4 33 kg:highridge-(Y04:Y044-Y069) 2 40 nondsa village 0 96 other 0 97 refused 0 98 don't know 2 99 NIU (not in universe) 169300 9999995 missing:impute 164 type of area in Kenya to which outmigrated The respondent IF THE OUT MIGRANT MOVED OUTSIDE KENYA, CODE 9 IN PROVINCE AND 999 UNDER DISTRICT What is the name of the area where (NAME) went to? na All households that had an out-migrant. 174786 0 The type of the area to which the outmigrant moved to. 1 within same DSA slum 5314 2 other DSA slum 172 3 non-DSA nairobi slum 39945 4 nairobi non-slum 48986 5 other urban Kenya 7106 6 rural Kenya 68855 7 outside Kenya 1186 96 other 0 97 refused 0 98 don't know 3212 99 NIU (not in universe) 0 9999995 missing:impute 10 location to which outmigrated The respondent IF THE OUT MIGRANT MOVED OUTSIDE KENYA, CODE 9 IN PROVINCE AND 999 UNDER DISTRICT What is the name of the area where (NAME) went to? na All households that had an out-migrant. 32083 0 The location to which the outmigrant moved to. reason for outmigrating The respondent na What was the most important reason why (NAME OF MIGRANT) left? na All households that had an out-migrant. 174786 0 The reason for outmigrating. 10 to be with family/friend 89696 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 3121 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 26233 31 other housing:bought/sold/built/free structure 0 40 poor job/business prospects 28584 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 2282 51 rent expensive/evicted 1170 60 poor health services 296 63 to seek medical care 658 64 pregnant female left to deliver 32 65 other health:fell ill/was injured 0 66 other health:born in DSA 0 70 inaccessible/far from road/services 1851 71 other inaccessibility:too far/expensive from work/school 0 80 to attend school/college/training 3273 81 other schooling:completed/closed school/training 0 82 other: dropped out/failed/expelled school/training 0 91 for a change/independence 3555 100 civil/other forms of conflict 1187 101 other conflict:marital discord 0 996 other 2313 997 refused 35 998 don't know 10232 999 NIU (not in universe) 0 9999995 missing:impute 268 date of outmigration (%td format) The respondent na On what date did (NAME) leave this place? (DD/MM/YYYY) na Ask the date when the out-migrant moved out of the residence and record using the format DD/MM/YYYY. This question assumes that the respondent is not the out-migrant and it seeks to find out when the out-migrant stopped staying at the marked room .Note that people may take days or weeks to move their belongings to the new place of residence; our interest here is on the date when the individual actually moved to the new residence. All households that had an out-migrant. 174786 2000-02-05 2015-12-31 The date of outmigration. actual date of outmigration (string format) na na na na na All households that had an out-migrant. 174786 0 The actual date of outmigration. year of outmigration The respondent na na na na All households that had an out-migrant. 174786 0 The year of outmigration. 2000 1 2002 1188 2003 10509 2004 20324 2005 12285 2006 11538 2007 12795 2008 11709 2009 11970 2010 13680 2011 15337 2012 14828 2013 13624 2014 13515 2015 11483 9996 other 0 9997 refused 0 9998 don't know 0 9999 NIU (not in universe) 0 9999995 missing:impute 0 person(s) with whom outmigrant moved The respondent na na All households that had an out-migrant. 174786 0 The person(s) with whom outmigrant moved with. 1 alone 26934 2 whole hhd 115647 3 part of previous hhd 29729 4 other hhd living in DSA 0 5 other hhd living outside DSA 0 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 2476 outmigrant was ill The respondent na When (NAME) left this place, was he/she sick? IF 2 OR 8 SKIP TO 3.9 Ask if the out-migrant was sick when he left the room or place where he/she was staying. If the respondent was sick record 1=Yes, 2=No and 8=DK. If the respondent does not know whether the out-migrant was sick or not or if the out-migrant was not sick then SKIP to question 3.9 All households that had an out-migrant. 174786 0 Whether the outmigrant was ill when he/she was out migrating. 0 no 0 1 yes 728 2 no 125731 6 other 0 7 refused 0 8 don't know 6452 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 41875 outmigrant's illness when left The respondent na What was the main illness that (NAME) was suffering from? na Ask the main illness the out-migrant was suffering from if the response in question 3.7 was 1=Yes. Carefully check question 1.5 and 1.6 to confirm the age and sex of the out migrant, if the out-migrant is female and aged between 12-49 ask the questions in 3.9 to 3.10, otherwise SKIP to question 3.11. All households that had an out-migrant. 174786 0 The type of the outmigrant's illness when he/she left. A GENERAL BODY WEAKNESS 1 ADMITTED AT MATHARE MENTAL HOSPITAL(ILLNESS NOT INDICATED) 1 ASTHMA 1 ATTACKED BY ROBBERS 1 CELEBRAL MALARIA 1 CEREBRAL MALARIA 1 CHEST COMPLICATION 1 CHEST PAIN 1 CHEST PAINS 1 CHEST PROBLEM AND GENERAL WEAKNESS 1 CHEST PROBLEMS 1 CHOLERA 1 COMPLAINED OF CHEST DISORDER 1 COMPLAINED OF SEVERE HEADACHE 1 COUGHING 4 COUGHING & HEADACHE 1 COUGHING AND MALARIA 1 COUGHING AND RAPID LOSS OF WEIGHT 1 COUGHING, DIARRHOEA AND LOSS OF WEIGHT 1 COUGING ALOT 1 COULD NOT TELL 1 COULD NOT TELL BUT WAS VERY WEAK 1 DIABETES 3 DIARHOEA 1 DIARRHOE, VOMITTING, HEADACHE 1 DIARRHOEA AND VOMITING PLUS LOSS OF WEIGHT 1 DIARRHOEA,VOMITING,WEIGHT LOSS 1 DIARRHOED VOMITTED AND COULD NOT EAT 1 DIED AFTER OUTMIGRATING 1 DK 1 DOES NOT KNOW 1 DOES NOT KNOW WHAT TYPE OF ILLNESS HE HAD 1 DOES NOT KNOW WHICH ILLNESS BUT WAS SERIOUSLY SICK 1 DON'T KNOW 2 DONT KNOW 19 DONT KNOW BUT WEAK BECAUSE OF OLD AGE. 1 DONT KNOW, TAKEN TO KARIOBANGI NYUMBA YA WAZEE 1 EPILEPSY 1 EYE INFECTION 1 FEELING WEAK AND COUGHING 1 FEVER 1 GOT ACCIDENT AND BROKE LEG 1 HAD A PROBLEM OF SEVERE COUGH 1 HAD A PROBLEM WITH BREATHING 1 HAD A SWOLLEN ABDOMEN 1 HAD A THROAT PROBLEM THAT MADE HIS VOICE HOARSE 1 HAD ABDOMINAL CONDITIONS 1 HAD ABDOMINAL PAIN,LOSS OF WWEIGHT AND CONSTANT FEVER 1 HAD BEEN INJURED IN HIS WORK PLACE 1 HAD BROKEN LEG. 1 HAD CHEST PROBLEM 1 HAD CHEST PROBLEMS AFTER HAVING WORKED IN A FLOWER PROCESSING FACTORY 1 HAD FEVER AND I 1 HAD MALARIA 2 HAD MENTAL DISORDERS 1 1 HAD SOME HEADACHE AND WAS VOMITING ALOT 1 HAD T.B 1 HAD TUBERCULOSIS 1 HAD TUERCULOSIS 1 HAS STOMACH PROBLEMS 1 HAS TB 1 HE GOT INVOLVED IN AN ACCIDENT AND BROKE HIS LEG 1 HE HAD AN ACCIDENT WHICH DAMAGED HIS LEGS 1 HE HAD BECOME MAD. (HE WAS SUFFERING FROM MENTAL ILLNESS) 1 HE HAD CHEST PAINS AND WAS VOMITING REGULARLY 1 HE HAD TB 1 HE IS HIV POSITIVE 1 HE WAS COMPLAINING OF CHEST PAINS 1 HE WAS COUGHING 1 HE WAS COUGHING HEAVILY 1 HE WAS INSANE (MENTALLY ILL) 1 HE WAS KILLED BY A VEHICLE 1 HE WAS MAD 1 HE WAS SUFFERING FROM CELEBRAL MALARIA 1 HE WAS SUFFERING FROM MENTAL ILLNESS (WAS MAD) 1 HE WAS SUFFERING FROM T.B (TUBERCULOSIS) 1 HE WAS SUFFERING FROM TUBERCULOSIS (T.B) 1 HE WAS SUFFERING FROM TUERCULOSIS (T.B) 1 HEADACHE 2 HERBERLIST'S SICKNESS 1 HIP FRACTURE 1 HIS BODY WAS SWOLLEN HE HAD SIGNS OF LIVER FAILURE 1 HIV $ AIDS 1 HIV AIDS 3 HIV POSITIVE 1 HIV-AIDS 2 HIV/AIDS 1 INDIVIDUAL DID NOT DISCLOSE THE SICKNESS 1 INJURED BY GANGSTERS 1 INJURIES INFLICTED BY BEATINGS. 1 INJURY FROM AN ACCIDENT 1 LEG INJURY 1 LEPROSY 3 LIVER DAMAGE DUE TO EXCESSIVE ALCOHOL DRINKING 1 LOOKED WEAK BUT RESPONDENT DOESN'T KNOW THE AILMENT 1 LOSS OF WEIGHT, LACK OF APPETITE AND DIZZINESS 1 MALARIA 19 MALARIA AND COUGHING 1 MALARIA, COUGHING 1 MALARIA,TYPHOID 1 MARALIA 1 MENTAL DISORDER 1 MENTAL PROBLEM 1 MENTAL SICKNESS 1 MENTALLY ILL 1 MISSING:IMPUTE 42343 NOT APPLICABLE 132183 NOT INDICATED 1 NOT KNOWN 3 NOT SPECIFIED 2 ONE OF HIS LEGS USED TO SWELL 1 PHEUMONIA 1 PNEMONIA AND CHEST PAINS 1 PNEUMONIA 3 RAMJUS FELL FROM A BUILDING HE WAS BUILDING AND HIS URINARY BLADDER WAS DAMAGED HENCE NON FUNCTIONAL 1 REFUSED TO DISCLOSE 1 RESPODENT COLD NOT EXPLAIN THE EXACT DISEASE 1 RESPODENT DOES NOT WHAT ILLNESS EVANS HAS 1 RESPONDENT COULD NOT GIVE DETAILS ABOUT THE SICKNESS 1 RESPONDENT DOEDS NOT KNOW 1 RESPONDENT SAYS SHE DOES NOT KNOW WHICH ILLNESS 1 ROAD ACCIDENT 1 SEVERE COUGHING 1 SEVERE HEADACHE 1 SEVERE HEADACHE & COUGHING 1 SEVERE HEADACHE AND FEVER 1 SEVERE HEADACHE AT TIMES 1 SEVERE ULCERS 1 SHE HAD CHEST COMPLICATIONS AND SHE WAS WEAK 1 SHE WAS AILING FROM TUBERCULOSIS (TB) 1 SHE WAS COUGHING 1 SHE WAS COUGHING AND COMPLAINING OF CHEST PAINS 1 SHE WAS HAVING SEVERE CHEST PAINS 1 SHE WAS MENTALLY UNSTABLE (MAD) 1 SHE WAS SUFFERING FROM TB 1 SHE WAS SUFFERING FROM TYPHOID 1 STOMACH PROBLEM, PROBABLY TYPHOID 1 SWOLLEN LEGS 2 TB 13 THE LADY COMPLAINED OF CHEST PROBLEMS 1 THE OLD LADY WAS TAKEN TO AND OLD AGED HOME (NYUMBA YA WAZEE) 1 THE PERSON WAS LOOSING WEIGHT AND COUGHING 1 THE RESPONDENT DOES NOT KNOW 1 THE RESPONDENT SAID THAT HE ONLY HAD THAT JAMES WAS ILL BUT DIDNT KNOW WHAT HE WAS SUFFERING FROM 1 THIS CHILD WAS RAPED AND WAS ADMITTED IN HOSPITAL 1 THIS LADY DONT KNOW EXACT DISEASE.BUT WENT UPCOUNTRY TO SEEK MEDICAL ASSISTANCE 1 TUBERCLOSIS 3 TUBERCLOSIS(TB) 1 TUBERCULOSIS 14 TUBERCULOSIS(TB) AND WAS HIV POSITIVE 1 TUBERCULOSIS, WEIGHT LOSS & ANAEMIC, BED SORES, CERVICAL CANCER 1 TYPHOID 6 TYPHOID, MALARIA 1 TYPOID,CHOLERA 1 UNKNOWN 7 UNKNOWN DISEASE 2 VOMITING 1 WAS COMPLAINING OF CHEST PROBLEMS 1 WAS COUGHING TREMENDOUSLY 1 WAS COUGHING,MALARIA 1 WAS DIARROEARING ALOT 1 WAS DISABLED PERSON AND WAS GENERALLY SICKLY.RESPONDENT COULD NOT PINPOINT THE DISEASE 1 WAS HAVING SEVERE HEADACHE 1 WAS SICK BUT DONT KNOW WHERE 1 WAS SUFFERING FROM MENTAL DISEASE MENTALLY SICK 1 WAS SUFFERING FROM TB 1 WAS VERY WEAK COULDN'T WALK HAD DIARHHOEA 1 female outmigrant was pregnant The respondent CHECK 1.5 & 1.6 IF FEMALE AND AGED 12-49 ASK 3.9-3.10; OTHERWISE SKIP TO 3.11 When (NAME) left this place, was she pregnant? IF 2 OR 8 SKIP TO 3.11 Ask if the out-migrant (if female as the instruction above state) was pregnant before she moved form here. If the out migrant was pregnant record 1=yes, if she was not pregnant record 2=No and 8=DK. If the out-migrant was not pregnant or the respondent does not know whether the out-migrant was pregnant or not, SKIP to question 3.11 All households that had an out-migrant. 174786 0 Whether the female outmigrant was pregnant. 0 no 0 1 yes 559 2 no 23784 6 other 0 7 refused 0 8 don't know 17516 9 NIU (not in universe) 94877 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 38050 duration of female outmigrant's pregnancy (months) The respondent na Approximately how many months was she pregnant? na Ask the respondent approximately how many months he/she thinks the out migrant was pregnant. Choose the selected codes {1=1-3 months, 2=4-6 months, 3=7-9 months} appropriately based on the respondents answer. All households that had an out-migrant. 174786 0 The duration of the female outmigrant's pregnancy (months). 1 1-3 months 67 2 4-6 months 201 3 7-9 months 285 6 other 0 7 refused 0 8 don't know 0 9 NIU (not in universe) 136177 9999995 missing:impute 38056 respondent is in contact with outmigrant The respondent CHECK 2.1 IF YES SKIP TO 8.1 Are you in contact with (NAME) or do you know someone who is in touch with him/her? na Ask the respondent if he/she is in contact with the out-migrant or if he knows someone who is in contact with the out-migrant. Choose any of the provided codes appropriately based on the respondent answer.{1=In touch with the person; 2=Knows someone in touch with the person; 3=both 1&2 ;4=Neither 1 nor 2; 9=Person died} All households that had an out-migrant. 174786 0 Whether the respondent is in contact with the outmigrant. 1 personally in touch with the outmigrant 29761 2 knows someone in touch with the outmigrant 25243 3 both 1 & 2 1740 4 neither 1 nor 2 74342 5 outmigrant died 270 6 other 0 7 refused 0 8 don't know 0 9 NIU (not in universe) 43005 9999995 missing:impute 425 interview rating The field interviewer na FW: RATE THE INTERVIEW na Rate the interview from a scale of 5=Very good to 1=Very bad. State one code that describes the interview environment and responses given by respondent. All households that had an out-migrant. 174786 0 The interview rating. 1 very bad 723 2 bad 6095 3 average 29050 4 good 47096 5 very good 46375 6 other 0 7 refused 0 8 don't know 0 9 NIU (not in universe) 42039 9999995 missing:impute 3408