NUHDSS - RESIDENCY v1.2 APHRC-NUHDSS-RESIDENCY-1.2 African Population & Health Research Center 2011-05-17 Nesstar Publisher Version 1.2. September 2017. With anonymised datasets from 2002 to 2015 NUHDSS-RESIDENCY 2002-2015 APHRC-NUHDSS-RESIDENCY-1.2 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) Other Household Survey [hh/oth] Each individual in the NUHDSS can have more than one residency episode. Version 1.2. September 2017. With anonymised datasets from 2002 to 2015 KENYA Two informal settlements (slums) in Nairobi county, Kenya (specifically, Korogocho and Viwandani slums). The unit of analysis is the residency event for a DSS Individual. 8 types of DSS events exist: ENUMERATION, BIRTH, INMIGRATION,ENTRY, EXIT, OUTMIGRATION, DEATH, PRR. Every observation in this dataset shows the episode start date, the episode end date/censoring-date, and the residency event that has occurred. All NUHDSS households and their residents. The scope of the residency table includes residency status of every individual, religion, marital status, income-generating activity status, pregnancy status of females aged 12-49 years, parental survivorship, educational attainment, death information No sampling is done, all households are visited and the status of individuals that are members is updated. Face-to-face [f2f] Head, Data and Measurement Unit African Population and Health Research Center, Nairobi Urban Health and Demographic Surveillance System - Residency Table. April 2011. APHRC, Nairobi - Kenya. doi:10.20369/aphrc-012:2003.1.01 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. NUHDSS Residency_anon_2002-2015.NSDstat The file contains data related to the residency status of every individual, religion, marital status, income-generating activity status, pregnancy status of females aged 12-49 years, parental survivorship, educational attainment, death information 3295070 102 Nesstar 200801 African Population & Health Research Center (APHRC). V1.0 BACKGROUND EVENT DATES EVENTS INDIVIDUAL CHARACTERISTICS HOUSEHOLD HEAD CHARACTERISTICS PARENTAL CHARACTERISTICS TIME-VARYING CHARACTERISTICS CAUSE OF DEATH MIGRATION RESIDENCE RELATIONSHIP TO HOUSEHOLD HEAD EDUCATIONAL ATTAINMENT INCOME-GENERATING ACTIVITIY MARITAL STATUS PARENTAL SURVIVORSHIP PREGNANCY STATUS RELIGION OUTMOVEMENT DETAILS INMOVEMENT DETAILS NUHDSS individual (anonymizer all rounds) The interviewer. na na na na All residents. 3295070 0 NUHDSS individual (anonymizer all rounds). NUHDSS socialgroup (anonymizer all rounds) Concatenation of the slum, the enumeration area, the structure number, the room number and the household number. na na na na All residents. 3295070 0 NUHDSS socialgroup (anonymizer all rounds). slum area in NUHDSS The interviewer. na na na na All residents. 3295070 0 The slum area in NUHDSS. 1 korogocho 1396528 2 viwandani 1898542 9999995 missing:impute 0 round in which event occurred The interviewer. na na na na All residents. 3295070 0 0 39 20.855 11.169 The round in which the event occured. date of beginning na na na na All residents. 3295070 1901-08-10 2015-12-31 Date when the residency episode began. residency event date The respondent. na na na na All residents. 3295070 2002-08-01 2016-01-01 Date when the residency episode ended/occurred. calendar year of event Calculated by stsplitting the date when the residency episode ended/occurred (res_eventdate) on January 1st of each year for which the individual has residency episodes. The stsplit creates residency episodes that denote when the calendar year changed. na na na na All residents. 3295070 0 The calendar year in which the residency episode occured. 2002 <=2002 218240 2003 2003 187567 2004 2004 181096 2005 2005 167338 2006 2006 157973 2007 2007 251201 2008 2008 233739 2009 2009 295850 2010 2010 269110 2011 2011 270179 2012 2012 261576 2013 2013 321710 2014 2014 264201 2015 2015 215290 2016 2016 0 2017 >=2017 0 The Period of interest is from 01Jan2003 to 31Dec2016. ruling government na na na na All residents. 3295070 0 The ruling government during the residency episode. 1 moi 0 2 queenelizabeth2 0 3 kenyattajomo 0 4 moi 166298 5 kibaki 931408 6 postelectionviolence 145221 7 kibakiodinga 1365122 8 kenyattauhuru 687021 residency event The respondent. Some of the events are calculated by stsplitting the calendar year, age group and the government. na WHAT IS THE CURRENT STATUS OF (NAME)? Record the current status of each individual using the codes depicted in the table above. If EXT, CBS or OMG; ask Q4.6A and then go to 8.1; if UNK go to 8.1; if DTH; skip to Q4.20; if all members are TAR, ask Q4.6A for each individual and then go to 8.1; if PRR go to Q4.8. Note that Q4.8-4.19 should be asked of all members who are PRR. Also note that, a TAR status of any household member can only be confirmed by a household member who is PRR. All residents. 3295070 0 The event associated with the residency episode. -5 round changed 0 -4 season changed 0 -3 government changed 252329 -2 age group changed 192464 -1 year changed 926703 1 enumeration 54978 2 birth 25788 3 outmigration 184986 4 inmigration 177598 5 exit 173407 6 entry 172385 7 death 5921 9 OBE 3 10 time-varying covariate 1128508 9999995 missing:impute 0 date of birth of NUHDSS individual (%td format) The respondent. na INDIVIDUAL'S DATE OF BIRTH Fill in the individual's date of birth to their best recollection. Probe as much as possible to obtain the year of birth. Where the day and month are not known fill in '98'. Use the table of key events in Appendix 4 to approximate date of birth as closely as possible. na All residents. 3295070 1901-08-10 2015-12-31 The date of birth of the NUHDSS individual. gender of NUHDSS individual The respondent. na INDIVIDUAL'S SEX Fill in the gender of the individual na All residents. 3295070 0 The gender of the deceased NUHDSS individual. 1 female 1484725 2 male 1810345 6 other 0 7 refused 0 8 don't know 0 9 NIU (not in universe) 0 9999995 missing:impute 0 ethnicity of NUHDSS individual The respondent. na na na na All residents. 3295070 0 The ethnicity of NUHDSS individual. 1 kikuyu 959168 2 luhya 513886 3 luo 464305 4 kamba 829131 5 meru 38984 6 embu 22095 7 kisii 202596 8 mijikenda 4206 9 swahili 611 10 somali 46484 11 taita 8687 12 taveta 92 13 masai 6337 14 kalenjin 15737 15 garre 79015 16 borana 56386 17 other:ajuran 534 18 other:bajuni 72 19 other:burji 634 20 other:gabra 3090 21 other:harsi 381 22 other:kuria 6418 23 other:malakote 166 24 other:mbeere 6830 25 other:tharaka 246 26 other:munyoyaya 381 27 other:nubian 142 28 other:orma 164 29 other:oromo 127 30 other:pokomo 406 31 other:rendille 176 32 other:sabaoti 291 33 other:sakuye 398 34 other:samburu 618 35 other:suba 554 36 other:teso 4441 37 other:turkana 583 50 non-kenyan 874 51 other non-kenyan:burundian 25 52 other non-kenyan:ethiopian 66 53 other non-kenyan:rwandese 2 54 other non-kenyan:somalian 136 55 other non-kenyan:sudanese 15 56 other non-kenyan:tanzanian 1389 57 other non-kenyan:ugandan 660 96 other 5331 97 refused 2 98 don't know 34 99 NIU (not in universe) 0 9999995 missing:impute 12164 province in Kenya in which individual 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 residents. 3295070 0 Province in Kenya in which individual was born. 1 central 285506 2 coast 10047 3 eastern 426278 4 nairobi 563587 5 north eastern 18243 6 nyanza 268415 7 rift valley 57713 8 western 221733 9 outside Kenya 10127 96 other 0 97 refused 0 98 don't know 936129 99 NIU (not in universe) 0 9999995 missing:impute 497292 district in Kenya in which individual 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 residents. 3295070 0 District in Kenya in which individual was born. 7 43 100 central province-district unknown 0 101 kiambu 38600 102 kirinyaga 10270 103 maragua 19911 104 murang'a 138789 105 nyandarua 20319 106 nyeri 33231 107 thika 24386 108 nyahururu 0 109 limuru 0 110 nanyuki 0 111 kerugoya 0 200 coast province-district unknown 0 201 kilifi 492 202 kwale 549 203 lamu 387 204 malindi 435 205 mombasa 4469 206 taita taveta 3482 207 tana river 190 208 voi 0 209 shinyanga 0 210 changamwe 0 300 eastern province-district unknown 0 301 embu 9663 302 isiolo 8747 303 kitui 65317 304 machakos 202688 305 makueni 92552 306 marsabit 6450 307 mbeere 5052 310 meru 17643 311 moyale 8515 312 mwingi 8862 313 tharaka 769 314 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 208529 401 central 15041 402 dagoretti 2257 403 embakasi 43877 404 kasarani 163336 405 kibera 7882 406 makadara 82954 407 pumwani 38587 408 westlands 1097 500 north eastern province-district unknown 0 501 garissa 2345 502 ijara 493 503 mandera 12119 504 wajir 3234 505 elwak 48 600 nyanza province-district unknown 0 601 bondo 11738 603 homa bay 13730 604 kisii central 49333 605 kisumu 31674 606 kuria 6288 607 migori 11009 608 kisii 58736 609 nyando 8057 610 karachuonyo 6685 611 siaya 69033 612 suba 2114 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 563 702 bomet 2750 703 bureti 228 704 kajiado 4702 705 keiyo 487 706 kericho 2554 707 koibatek 716 708 laikipia 3217 709 nakuru 25023 711 nandi 2718 712 narok 1699 713 samburu 296 714 transmara 406 715 trans nzoia 8054 716 turkana 336 717 uasin gishu 3776 718 west pokot 84 719 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 19481 802 busia 36374 803 butere/mumias/bunyore 54506 804 kakamega 52405 805 lugari 5806 806 elgon 6669 807 teso 2264 808 vihiga 44228 809 webuye 0 810 amagoro 0 900 outside Kenya 9984 9996 other 0 9997 refused 135 9998 don't know 936528 9999 NIU (not in universe) 0 9999995 missing:impute 497074 type of area in Kenya in which individual was born The respondent. na RECORD CODE FOR PLACE OF BIRTH na Record the code for the place of birth using Code Sheet A5. All residents. 3295070 0 Type of area in Kenya in which individual was born. 1 within same DSA slum 379556 2 other DSA slum 696 3 non-DSA nairobi slum 40945 4 nairobi non-slum 151621 5 other urban Kenya 52089 6 rural Kenya 1690104 7 outside Kenya 10400 96 other 0 97 refused 0 98 don't know 966752 99 NIU (not in universe) 0 9999995 missing:impute 2907 relationship to household head at event The respondent. na na na na All residents. 3294849 221 The individual's relationship to household head during the residency episode. 1 aunt 1291 2 brother-in-law 4120 3 brother 42505 4 child 659867 5 cousin 30084 6 co-wife 9 7 daughter-in-law 1469 8 grand child 44402 9 grand parent 262 10 household head 1020527 11 husband 27378 12 nephew 19973 13 niece 22242 14 not related 37465 15 parent 4130 16 parent-in-law 225 17 sister-in-law 10101 18 sister 34532 19 son-in-law 95 20 step child 13502 21 step parent 352 22 uncle 2013 23 wife 301778 24 other:great grand child 60 25 other:step sibling 5 26 other:boyfriend/girlfriend 14 51 non-related neighbour 0 52 other non-related non-HHD member 0 53 other related non-HHD member 0 54 other HHD member 0 55 related neighbour 0 56 sibling 0 57 self 6 58 spouse 0 96 other 8871 97 refused 0 98 don't know 61 99 NIU (not in universe) 0 9999995 missing:impute 1007510 Sysmiss 221 NUHDSS individual (anonymizer all rounds) na na na na na All residents. 3291685 0 The NUHDSS individual id (anonymizer all rounds). date of birth of NUHDSS household head (%td format) na na na na na All residents. 3291685 1901-08-10 2009-10-25 The date of birth of NUHDSS household head. gender of NUHDSS household head na na na na na All residents. 3294726 344 The gender of NUHDSS household head. 1 female 764013 2 male 2527672 6 other 0 7 refused 0 8 don't know 0 9 NIU (not in universe) 0 9999995 missing:impute 3041 Sysmiss 344 ethnicity of NUHDSS household head na na na na na All residents. 3294726 344 The ethnicity of NUHDSS household head. 1 kikuyu 954347 2 luhya 516470 3 luo 466274 4 kamba 824282 5 meru 37303 6 embu 22621 7 kisii 206161 8 mijikenda 4149 9 swahili 450 10 somali 49997 11 taita 8632 12 taveta 66 13 masai 6297 14 kalenjin 15680 15 garre 76007 16 borana 55560 17 other:ajuran 452 18 other:bajuni 79 19 other:burji 750 20 other:gabra 3341 21 other:harsi 582 22 other:kuria 6644 23 other:malakote 111 24 other:mbeere 6776 25 other:tharaka 256 26 other:munyoyaya 337 27 other:nubian 329 28 other:orma 88 29 other:oromo 283 30 other:pokomo 298 31 other:rendille 207 32 other:sabaoti 327 33 other:sakuye 334 34 other:samburu 660 35 other:suba 534 36 other:teso 4676 37 other:turkana 489 50 non-kenyan 931 51 other non-kenyan:burundian 8 52 other non-kenyan:ethiopian 68 53 other non-kenyan:rwandese 0 54 other non-kenyan:somalian 147 55 other non-kenyan:sudanese 2 56 other non-kenyan:tanzanian 1442 57 other non-kenyan:ugandan 525 96 other 5821 97 refused 0 98 don't know 2 99 NIU (not in universe) 0 9999995 missing:impute 13931 Sysmiss 344 age in completed days at the beginning of each episode Calculated using the individuals date of birth (res_datebirth) and the date when the residency episode began (res_datebeg). na na na na All residents. 3295070 0 0 38535 8012.027 5764.337 The age at in days when the residency episode began. age in completed days Calculated using the individuals date of birth (res_datebirth) and the date when the residency episode ended/occurred (res_eventdate). na na na na All residents. 3295070 0 1 38639 8580.642 5523.065 The age at in days when the residency episode ended/occurred. age in completed months Calculated using the individuals date of birth (res_datebirth) and the date when the residency episode ended/occurred (res_eventdate). na na na na All residents. 3295070 0 0 1269 281.467 181.468 The age at in completed months when the residency episode ended/occurred. age in completed years (integer) Calculated using the individuals date of birth (res_datebirth) and the date when the residency episode ended/occurred (res_eventdate). na na na na All residents. 3295070 0 0 105 23.037 15.104 The age at in completed years when the residency episode ended/occurred. Age Group Calculated by stsplitting the age in days (res_ageday) at 0 years, 1 year and at 5-year intervals from age 5-80 years for the period during which the individual has residency episodes. The stsplit creates residency episodes that denote when the age group changed. na na na na All residents. 3295070 0 The agegroup of the individual when the residency episode ended/occurred. 0 <1 Year 228528 1 1-4 292559 5 5-9 261932 10 10-14 207486 15 15-19 263970 20 20-24 529958 25 25-29 495939 30 30-34 351230 35 35-39 240093 40 40-44 161752 45 45-49 106062 50 50-54 67632 55 55-59 38762 60 60-64 22457 65 65-69 11971 70 70-74 6981 75 75-79 3806 80 >=80 3952 has ever attended school The respondent. na Have you/(Name) ever attended school? (1=YES; 2=NO) [ IF 2 SKIP TO THE NEXT PERSON] Record the response and skip to the next person if the response is 2=NO. All residents aged 6-40 years. 3295070 0 Has ever attended school. 0 no 0 1 yes 2668556 2 no 181079 6 other 0 7 refused 0 8 don't know 382465 9 NIU (not in universe) 62949 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 21 highest level of school ever attended The respondent. na Highest level na Record the highest level ever attended from one of the following levels: 1=Primary, 2=Secondary, 3=Higher, 8=Don't Know. All residents aged 6-40 years who have ever attended school. 3295070 0 Highest level of school ever attended. 0 never attended 196040 1 primary 1639053 2 secondary 970829 3 higher 56870 6 other 0 7 refused 0 8 don't know 368253 9 NIU (not in universe) 62949 9999995 missing:impute 1076 highest completed class at highest level of school ever attended The respondent. na Highest Class completed na Record the highest class the individual completed at the highest level they ever attended according to Q4.5. Please note that in the Kenyan system, the highest class for 1=Primary is Class 8, the highest class for 2=Secondary is Form 4, the highest class for 3=Higher is Year 6, the highest class for 8=Don't Know is '98'. If an individual has completed less than 1 year and their highest level of attendance is 1=Primary, 2=Secondary or 3=Higher, then record '00' as the highest class that they have attended. All residents aged 6-40 years who have ever attended school. 3295070 0 Highest completed class at highest level of school ever attended. 0 less than 1 yr completed 107160 1 143693 2 237886 3 160762 4 742047 5 85401 6 108215 7 257130 8 821309 96 other 0 97 refused 0 98 don't know 369916 99 NIU (not in universe) 258592 9999995 missing:impute 2959 is currently attending school The respondent. [CHECK Q 4.14; IF OLDER THAN 40 YEARS, SKIP TO THE NEXT PERSON] [ IF 2 SKIP TO 4.12,THEN TO NEXT PERSON] Record the response for those individuals who are aged less than 40 years. If the response is 2=NO, skip to Q4.12 and then to the next household member All residents aged 6-40 years who have ever attended school. 3295070 0 Individual is currently attending school. 0 no 0 1 yes 551672 2 no 1546722 6 other 0 7 refused 0 8 don't know 367971 9 NIU (not in universe) 767374 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 61331 highest level of school currently attending The respondent. na Highest level na Record the highest level currently attending for those individuals who are aged less than 40 years from one of the following levels: 1=Primary, 2=Secondary, 3=Higher, 8=Don't Know. Ensure that the highest level currently attending is not lower than the highest level ever attended in Q4.5. All residents aged 6-40 years who have ever attended school and are currently attending school. 3295070 0 Highest level of school currently attending. 0 never attended 163281 1 primary 306403 2 secondary 78529 3 higher 14287 6 other 0 7 refused 0 8 don't know 367901 9 NIU (not in universe) 2359999 9999995 missing:impute 4670 highest completed class at highest level of school currently attending The respondent. na Current class na Record the highest class the individual completed at the highest level they are currently attending according to Q4.9 for those individuals who are aged less than 40 years. Please note that in the Kenyan system, the highest class for 1=Primary is Class 8, the highest class for 2=Secondary is Form 4, the highest class for 3=Higher is Year 6, the highest class for 8=Don't Know is '98'. If an individual has completed less than 1 year and their highest level of attendance is 1=Primary, 2=Secondary or 3=Higher, then record '00' as the highest class that they have attended. Ensure that the class currently attending is consistent with the response in Q4.6. All residents aged 6-40 years who have ever attended school and are currently attending school. 3295070 0 Highest completed class at highest level of school currently attending. 0 less than 1 yr completed 37743 1 79612 2 68741 3 46801 4 44822 5 29577 6 29151 7 28726 8 33653 96 other 0 97 refused 0 98 don't know 367937 99 NIU (not in universe) 2523280 9999995 missing:impute 5027 type of school currently attending The respondent. [FW: IF Q4.9 LEVEL IS NOT 1 OR 2, SKIP TO THE NEXT PERSON] What type of school is (NAME) currently attending? na What type of school is (NAME) currently attending? - Record this response for those individuals who are aged less than 40 years and who are currently attending 1=Primary, 2=Secondary in Q4.9. All residents aged 6-40 years who have ever attended school and are currently attending school. 3295070 0 The type of school currently attending. 1 government 58155 2 private 82025 3 religious 9159 4 community 1566 6 other 100 7 refused 4 8 don't know 367973 9 NIU (not in universe) 2523280 9999995 missing:impute 252808 individual has had an income-generating activity in past 30 days The respondent. na Have you/(NAME) been involved in an income generating activity in the past 30 days? [IF 1; SKIP TO Q4.13] Record the response for those individuals aged 12 years and above. If the response is YES, skip to Q4.13 All residents aged 12 years and above. 3295070 0 Individual has had an income-generating activity in past 30 days. 0 no 0 1 yes 1481900 2 no 733155 6 other 0 7 refused 0 8 don't know 671739 9 NIU (not in universe) 408276 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 0 reason individual has not had an income-generating activity in past 30 days The respondent. na Why were you/was (NAME) not in an income generating activity? [FOOTNOTE 1] [SKIP TO 4.16 OR 8.1 AS IS APPROPRIATE ] This question is administered to those who stated NO in Q4.11 from among the following choices: 01=Too old, 02=Retired, 03=Household responsibilities, 04=In school, 05=Too young, 06=Sick/ill, 07=Can't find work, 08=Doesn't want, 09=Lost job, 10=Pregnancy 96=Other (specify). After recording the response, skip to Q4.16 or Q8.1 as appropriated All residents aged 12 years and above who were not involved in an income generating activity in the past 30 days. 3295070 0 The reason individual has not had an income-generating activity in past 30 days. 1 too old 5875 2 retired 808 3 household responsibilities 148976 4 in school 370400 5 too young 3552 6 sick/ill 10203 7 can't find work 131479 8 doesn't want to work 521 9 lost job 11504 10 pregnancy 4182 96 other 3253 97 refused 0 98 don't know 671739 99 NIU (not in universe) 1932110 9999995 missing:impute 468 type of income-generating activity The respondent. na What was the main activity that you have been involved in? [FOOTNOTE 2] This question is administered to those who stated YES in Q4.11 from among the following choices: 01=Unestablished own business, 02=Established own business, 03=Informal casual, 04=Informal salaried, 05=Formal salaried, 06=Formal casual, 07=Rural Agriculture, 08=Urban Agriculture, 96=Other (specify) All residents aged 12 years and above who were involved in an income generating activity in the past 30 days. 3295070 0 The type of income-generating activity the individual engaged in the past 30 days. 0 no IGA 733155 1 own business:unestablished 215835 2 own business:established 187500 3 informal:casual 494050 4 informal:salaried 114273 5 formal:casual 280459 6 formal:salaried 166601 7 agriculture:rural 2496 8 agriculture:urban 2434 96 other 10353 97 refused 0 98 don't know 671739 99 NIU (not in universe) 408276 9999995 missing:impute 7899 duration of involvment (months) in this income generating activity The respondent. na How long have you been involved in this main activity? na Record the duration of the activity in the appropriate box. Probe as much as possible to obtain the duration. All residents aged 12 years and above who were involved in an income generating activity in the past 30 days. 3295070 0 The total duration of involvment (months) in this income generating activity. 0 less than 1 month 6334 1 13940 2 23695 3 27149 4 32595 5 19292 6 30482 7 13713 8 16790 9 10716 10 3634 11 1666 12 106480 13 3372 14 14117 15 4305 16 7190 17 2344 18 11657 19 2999 20 4353 21 1951 22 739 23 480 24 155781 25 4902 26 5962 27 5526 28 7578 29 1791 30 7649 31 2448 32 2391 33 1191 34 925 35 600 36 116804 37 1295 38 9267 39 1256 40 5572 41 1173 42 5461 43 2132 44 1552 45 604 46 804 47 481 48 104984 49 559 50 7566 51 3209 52 1527 53 1040 54 3482 55 2324 56 1639 57 761 58 761 59 510 60 88294 61 267 62 2541 63 1051 64 1462 65 300 66 2073 67 1170 68 869 69 326 70 703 71 245 72 59671 73 338 74 6080 75 2207 76 2255 77 740 78 995 79 2106 80 1020 81 425 82 525 83 219 84 41339 85 178 86 2500 87 1165 88 1193 89 199 90 966 91 401 92 863 93 207 94 344 95 116 96 40469 97 200 98 2277 99 1138 100 1371 101 287 102 1121 103 1194 104 338 105 317 106 416 107 111 108 26744 109 168 110 1570 111 521 112 796 113 123 114 1099 115 349 116 387 117 99 118 519 119 148 120 97717 121 259 122 3063 123 1079 124 1539 125 647 126 2032 127 1451 128 1035 129 536 130 259 131 89 132 7768 133 30 134 527 135 106 136 346 137 85 138 763 139 116 140 167 141 144 142 62 143 13 144 20587 145 146 146 608 147 334 148 752 149 106 150 1470 151 429 152 379 153 115 154 110 155 16 156 7647 157 31 158 386 159 114 160 384 161 43 162 357 163 180 164 160 165 55 166 68 167 39 168 10321 169 36 170 427 171 234 172 121 173 53 174 266 175 150 176 166 177 113 178 87 179 13 180 27978 181 87 182 322 183 157 184 183 185 117 186 304 187 116 188 217 189 90 190 115 191 53 192 9257 193 61 194 935 195 296 196 290 197 109 198 116 199 94 200 152 201 82 202 95 203 13 204 3535 205 6 206 161 207 68 208 58 209 6 210 73 211 42 212 83 213 17 214 23 215 11 216 7042 217 30 218 192 219 75 220 135 221 49 222 236 223 81 224 46 225 20 226 26 227 3 228 2846 229 21 230 75 231 22 232 48 233 20 234 132 235 20 236 29 237 18 238 28 239 4 240 32900 241 54 242 234 243 70 244 338 245 114 246 415 247 115 248 158 249 37 250 53 251 17 252 1461 253 22 254 8 255 25 256 59 257 18 258 26 259 8 260 20 261 5 262 5 263 2 264 2516 265 3 266 9 267 15 268 47 269 3 270 43 271 11 272 12 273 6 274 20 275 2 276 1624 277 2 278 27 279 3 280 43 281 5 282 34 283 4 284 4 285 16 286 8 287 21 288 1961 289 4 290 45 291 30 292 24 293 7 294 41 295 5 296 19 297 14 298 16 299 10 300 5021 301 17 302 5 303 46 304 9 305 17 306 37 307 10 308 28 309 7 310 23 311 3 312 1122 314 21 315 13 316 55 317 1 318 6 319 3 320 12 321 6 322 1 323 1 324 611 325 1 326 4 328 4 330 4 334 13 336 910 338 3 339 5 340 7 341 2 342 12 344 3 346 6 348 488 350 5 352 2 353 11 354 1 358 2 360 7453 361 17 362 19 363 33 364 13 366 20 367 2 368 42 369 29 370 7 371 1 372 173 379 1 380 3 381 3 382 2 384 367 385 1 386 2 387 1 388 5 394 24 396 178 400 2 402 2 408 169 411 2 412 3 414 4 416 1 417 8 420 552 422 4 429 4 430 1 431 3 432 113 434 2 436 1 444 66 454 1 456 85 458 1 460 2 468 70 480 608 483 2 488 1 492 10 500 1 504 48 516 6 528 2 540 55 552 9 564 4 576 9 582 1 588 8 600 75 612 1 624 2 629 1 648 3 660 3 698 15 720 6 744 11 768 21 770 1 792 2 802 2 840 18 900 3 960 2 964 4 984 1 1022 1 1068 1 1077 1 9991 since birth 0 9993 rest of life 0 9994 no duration given 0 9996 other 0 9997 refused 3277 9998 don't know 711750 9999 NIU (not in universe) 1144794 9999995 missing:impute 11972 income(KES)-last 30 days paid in:cash The response. na How much income did you/(NAME) make in the past 30 days from all activities that you were involved in? na This is a very sensitive question and requires you to be tactful and to be able to justify the usefulness of this information for the study. Note that income can be both in form of cash and also in kind. If the income is in kind, record its monetary value in KES in the box labelled KIND. All residents aged 12 years and above who were involved in an income generating activity in the past 30 days. 3295070 0 Total cash income(KES) earned in the last 30 days. 1 <KES 1,000 18179 2 KES 1,000-2,499 42572 3 KES 2,500-4,999 202142 4 KES 5,000-7,499 376533 5 KES 7,500-9,999 329175 6 KES 10,000-14,999 273934 7 KES 15,000-19,999 92690 8 KES 20,000+ 25782 96 other 0 97 refused 11856 98 don't know 720179 99 NIU (not in universe) 1200323 9999995 missing:impute 1705 income(KES)-last 30 days paid in:kind The response na How much income did you/(NAME) make in the past 30 days from all activities that you were involved in? na This is a very sensitive question and requires you to be tactful and to be able to justify the usefulness of this information for the study. Note that income can be both in form of cash and also in kind. If the income is in kind, record its monetary value in KES in the box labelled KIND. All residents aged 12 years and above who were involved in an income generating activity in the past 30 days. 3295070 0 Total in-kind income(KES) earned in the last 30 days. 1 <KES 1,000 1413252 2 KES 1,000-2,499 946 3 KES 2,500-4,999 287 4 KES 5,000-7,499 206 5 KES 7,500-9,999 142 6 KES 10,000-14,999 114 7 KES 15,000-19,999 20 8 KES 20,000+ 21 96 other 0 97 refused 6324 98 don't know 717444 99 NIU (not in universe) 1151761 9999995 missing:impute 4553 current marital status The respondent. na What is your/(NAME'S) current marital status? Are you: 01=Married; 02=Living with a man/woman; 03=Widowed 04=Separated; 05=Divorced; 06=Never married [IF 06; SKIP TO Q4.11] Record the response and skip to Q4.11 if the respondent says NO. All residents aged 12 years and above. 3295070 0 Individual's current marital status. 0 never married 665551 1 married 1497483 2 living together 15990 3 widowed 62315 4 separated 60930 5 divorced 56675 96 other 0 97 refused 4669 98 don't know 523160 99 NIU (not in universe) 408297 9999995 missing:impute 0 biological parents alive Calculated using paternal and maternal survival status. na na na na All residents. 3295070 0 Biological parents alive. 1 both parents alive 2009636 2 maternal orphan 171209 3 paternal orphan 667804 4 double orphan 440315 6 other 0 7 refused 0 8 don't know 6106 9 NIU (not in universe) 0 9999995 missing:impute 0 biological parents stay in the same household Calculated using paternal and maternal residence. na na na na All residents. 3295070 0 Biological parents stay in the same household as the individual. 1 both parents 250491 2 mother only 148051 3 father only 33472 4 neither parent 2856950 6 other 0 7 refused 0 8 don't know 6106 9 NIU (not in universe) 0 9999995 missing:impute 0 biological mother alive The respondent. na Is (NAME's) biological mother alive? (1=YES; 2=NO; 8=DON'T KNOW) Record the response and skip to Q5.7 if the response is 2=NO; 8=DON'T KNOW. All residents. 3295070 0 Biological mother alive. 0 no 0 1 yes 2677440 2 no 480191 6 other 0 7 refused 0 8 don't know 137435 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 4 biological mother's place of stay The respondent. na Where does the mother live? na Record the appropriate response according to CODE SHEET A5. If not 01=Within same DSA Slum or 02=Other DSA Nairobi slum, skip to Q5.7. All residents whose biological mother is alive. 3295070 0 Biological mother's place of stay. 1 within same DSA slum 515911 2 other DSA slum 598 3 non-DSA nairobi slum 7020 4 nairobi non-slum 21374 5 other urban Kenya 8663 6 rural Kenya 1122519 7 outside Kenya 3065 96 other 0 97 refused 0 98 don't know 9609 99 NIU (not in universe) 982452 9999995 missing:impute 623859 biological mother stays in the same household The respondent. na Does the mother live in this/your household? (1=YES; 2=NO) If the mother lives in the household, that is, the response is YES, skip to Q5.7. All residents whose biological mother is alive and resides in the DSA. 3295070 0 Biological mother stays in the same household as the individual. 0 no 0 1 yes 398542 2 no 53466 6 other 0 7 refused 0 8 don't know 6106 9 NIU (not in universe) 2148596 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 688360 NUHDSS individual (anonymizer all rounds) The interviewer. na FW: SELECT MOTHER'S ID na Record the mother's 14-character alphanumeric ID All residents. 354822 0 Biological mother's NUHDSS individual (anonymizer all rounds). biological mother's date of birth The interviewer. na na na na All residents. 354822 1953-04-21 2002-08-01 The date of birth of the biological mother. ethnicity of NUHDSS individual The interviewer. na na na na All residents. 3295070 0 The ethnicity of the biological mother. 1 kikuyu 6533 2 luhya 4125 3 luo 4083 4 kamba 5816 5 meru 346 6 embu 187 7 kisii 1249 8 mijikenda 35 9 swahili 2 10 somali 413 11 taita 48 12 taveta 1 13 masai 16 14 kalenjin 102 15 garre 705 16 borana 526 17 other:ajuran 3 18 other:bajuni 1 19 other:burji 10 20 other:gabra 21 21 other:harsi 2 22 other:kuria 51 23 other:malakote 0 24 other:mbeere 57 25 other:tharaka 0 26 other:munyoyaya 3 27 other:nubian 2 28 other:orma 0 29 other:oromo 1 30 other:pokomo 0 31 other:rendille 0 32 other:sabaoti 6 33 other:sakuye 11 34 other:samburu 2 35 other:suba 3 36 other:teso 22 37 other:turkana 10 50 non-kenyan 2 51 other non-kenyan:burundian 0 52 other non-kenyan:ethiopian 1 53 other non-kenyan:rwandese 0 54 other non-kenyan:somalian 3 55 other non-kenyan:sudanese 0 56 other non-kenyan:tanzanian 11 57 other non-kenyan:ugandan 14 96 other 41 97 refused 0 98 don't know 309 99 NIU (not in universe) 3269282 9999995 missing:impute 1015 biological father alive The respondent. na Is (NAME'S) biological father alive? (1=YES; 2=NO; 8=DON'T KNOW) Record the response and skip to Q4.16 if the response is 2=NO; 8=DON'T KNOW and the individual is a female aged 12-49 and end the interview for all other individuals. All residents. 3295070 0 Biological father alive. 0 no 0 1 yes 2180845 2 no 923068 6 other 0 7 refused 0 8 don't know 191145 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 12 biological father's place of stay The respondent. na Where does the father live? na Record the appropriate response according to CODE SHEET A5. If not 01=Within same DSA Slum or 02=Other DSA Nairobi slum, skip to skip to Q4.16 if the response is 2=NO; 8=DON'T KNOW and the individual is a female aged 12-49 and end the interview for all other individuals. All residents whose biological father is alive. 3295070 0 Biological father's place of stay. 1 within same DSA slum 460089 2 other DSA slum 713 3 non-DSA nairobi slum 12951 4 nairobi non-slum 47234 5 other urban Kenya 18652 6 rural Kenya 911319 7 outside Kenya 3194 96 other 0 97 refused 0 98 don't know 18448 99 NIU (not in universe) 1409149 9999995 missing:impute 413321 biological father stays in the same household The respondent. na Does the father live in this/your household? (1=YES; 2=NO) All residents whose biological father is alive and resides in the DSA. 3295070 0 Biological father stays in the same household as the individual. 0 no 0 1 yes 283963 2 no 37133 6 other 0 7 refused 0 8 don't know 6106 9 NIU (not in universe) 2414841 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 553027 NUHDSS individual (anonymizer all rounds) The interviewer. na FW: SELECT FATHER'S ID na Record the father's 14-character alphanumeric ID All residents. 274433 0 Biological father's NUHDSS individual (anonymizer all rounds). biological father's date of birth The interviewer. na na na na All residents. 274433 1930-07-01 1998-09-16 The date of birth of the biological father. pregnancy status The respondent. Is (NAME) pregnant? [YES= 1; NO= 2; DON'T KNOW= 8] [IF 2 OR 8 SKIP TO NEXT PERSON IN 4.1] Record the response is NO= 2 or DON'T KNOW= 8 then skip to the next individual. All female residents aged 12-49 years. 3295070 0 The pregnancy status of the woman. -1 day before conception (not pregnant) 0 0 day of conception (pregnant) 13502 1 pregnant 30929 2 not pregnant 57568 6 other 0 7 refused 0 8 don't know 1382726 9 NIU (not in universe) 1810345 9999995 missing:impute 0 current religion The respondent. na What religion do you/does (NAME) belong to? [01=Catholic; 02=Protestant; 4=Pentecostal/Charismatic; 05=Other Christian; 06=Muslim; 07=No Religion; 96=Other (Specify) ] [Q4.8 -4.15 SHOULD BE ASKED OF ALL AGED 12 & ABOVE] Use the codes provided to fill in the appropriate religion for each individual All residents. 3295070 0 Current religion. 0 no religion 72809 1 catholic 780484 2 protestant 520281 3 pentecostal/charismatic 768482 4 other christian 235084 5 muslim 181601 6 other:traditional/animism 65 96 other 2272 97 refused 1795 98 don't know 732197 99 NIU (not in universe) 0 9999995 missing:impute 0 underlying cause of death: final 2 independent physicians. na na na na All residency episodes where the event is a DEATH. 83903 3211167 The final underlying cause of death (ICD-10 code). 100003 142 100004 51 100005 125 100016 99 100029 20 100056 44 100070 6 100092 2675 100113 5717 100122 31 100124 15 100139 8 100233 69 100253 16 100328 11 100414 20 100536 10 100663 32 100686 3 100726 24 100751 543 100757 3 100837 3839 100865 6868 100872 11 101073 1477 101345 4 101402 44 101403 22 101414 27 101424 246 101442 39 101475 43 101495 114 101527 17 101540 8 101552 33 101563 6 101669 10 101687 9 101826 238 101840 7 101844 161 101852 23 101853 20 101874 25 101882 22 101892 14 101909 6 102689 64 102707 28 102813 32 102878 6 103147 215 103157 45 103163 8 103165 12 103168 45 103175 8 103181 2 103183 11 103207 15 103240 7 103288 10 103292 27 103293 48 103297 6 103298 173 103349 36 103350 26 103419 459 103455 5 103488 20 103492 9 103620 7 103656 69 103741 3 103901 953 103904 11 103905 6 103907 30 103909 74 103910 32 104035 7 104037 7 104041 16 104042 574 104069 61 104070 28 104076 8 104196 9 104443 37 104467 9 104477 50 104478 255 104515 6 104850 22 104851 13 104926 23 105080 6 105170 15 105340 13 105425 321 105432 799 105443 1305 105444 30 105551 24 105634 289 105652 40 105691 2 106024 6 106038 4 106047 54 106073 17 106087 20 106118 7 106125 9 106160 11 109129 3 109139 3 109525 7 109695 1652 109696 20 109708 4 109812 37 109967 38 109982 37 109991 18 109995 694 110025 3 110035 11 110123 183 110175 48 110655 15 110890 6 111112 12 111113 18 111120 36 111207 3569 111223 5 111238 6 111310 7 111311 17 111327 789 111432 11 111515 139 111582 45 111609 23 111611 3 111714 47 111750 6 111793 609 111843 35 111859 22 111869 81 111877 14 111940 10 112049 9 112058 139 112061 10 112099 4 112147 10 112191 60 112223 41 112250 9 112255 685 112320 5 112330 28 112356 8 112380 15 112382 41 112386 45 112506 11 112511 27 113269 43 114478 151 116391 20 117571 66 119645 22 119939 48 120234 50 120275 528 120322 44 120374 14 120484 10 120607 41 120748 24 120752 37 120843 5 120887 131 120890 6 120905 38 120909 10 120911 31 120923 19 121065 37 121076 40 121077 39 121085 40 121261 61 121304 5 122595 2 122648 6 122665 25 122675 10 122744 11 122755 27 122762 13 122865 21 122866 40 122867 9 122868 4 122869 76 122898 35 122918 74 122936 51 123021 23 123070 22 123088 6 123230 7 123280 11 123289 22 123292 8 123296 5 123297 5 123298 4 123309 2 123316 31 123317 6 123319 2 123324 15 123330 7 123365 2 123366 17 123372 7 123379 2 123387 111 123398 4 123401 2 123462 3 123463 6 123466 29 123467 2 123471 9 123481 2 123482 12 123486 11 123492 3 123528 3 123560 88 123570 5 123580 26 123593 3 123616 2 123631 2 123642 3 123650 3 123700 4 123724 3 123764 3 123774 8 124004 3 124052 2 124102 3 124563 3 124744 10 124749 26 124756 56 124758 43 124770 3 124797 18 124810 129 124830 23 124838 5 124839 37 124860 45 124866 37 124894 133 124902 79 125004 37 125174 131 125182 71 125183 56 125188 43 125196 162 125198 6 125199 7 125203 15 125218 3 125230 6 125495 18 125497 16 125498 39 125504 690 126064 25 127087 15 129993 23 134498 12 138441 58 140956 10 142856 38 144777 13 147766 32 153416 5 153796 20 156480 6 156487 11 156509 10 156580 3 156714 10 157095 10 159379 34 159388 977 159392 13 159395 3 159450 15 161845 17 162816 54 162979 985 163045 148 163059 12 163425 9 163785 7 164008 46 164022 4 164512 19 164677 103 165021 170 165101 3 166722 6 167023 12 167060 58 167097 36 167110 39 167122 7 167134 9 167221 56 167230 229 167233 80 167302 8 167549 44 167562 35 167681 29 167727 87 168240 33 168249 38 168410 14 168428 37 168515 9 168534 10 168668 16 168757 9 168844 17 169003 25 169030 46 169723 11 169775 19 169785 40 169788 1321 169794 159 170600 5 170616 28 170633 82 170663 13 170681 10 170702 37 170718 6 170726 137 170748 22 170895 36 170966 16 170970 3 171245 107 171311 3 171434 3 171733 5 171737 16 171738 16 171742 87 171746 7 171749 26 171750 75 171753 7 171754 4 171755 77 171759 17 171769 210 171865 444 171941 576 171993 65 172014 33 172095 3 172149 144 172150 8 172151 11 172172 110 172174 9 172176 30 172177 211 172178 391 172179 33 172238 42 172281 15 172285 11 172321 37 172322 3 172327 13 172328 67 172329 58 172348 41 172368 532 172429 1340 172445 400 172470 149 172483 89 172519 571 172535 1129 172545 55 172547 54 172592 50 172602 48 172606 49 172666 1844 173675 6 173691 31 174643 11 174829 4 174959 38 174960 434 175259 7 999991 indeterminate 4564 999992 indeterminate (had InterVA symptoms) 0 999993 indeterminate (no InterVA symptoms) 0 999994 physican cod not yet assigned 9766 999995 va not done 8453 999996 other 0 999997 refused 0 999998 don't know 0 999999 NIU (not in universe) 0 9999995 missing:impute 1914 Sysmiss 3211167 broad underlying cause of death: final 2 independent physicians. na na na na All residency episodes where the event is a DEATH. 83903 3211167 The final underlying cause of death (ICD-10 code) (collapsed into these broad categories: AIDS/HIV, anaemia, asthma, cardiovascular, COPD, diabetets mellitus, diarrhoeal diseases, direct obstetric, infectious diseases, injuries, liver disease, malaria, malnutrition, meningitis, neonatal causes, malignancies, respiratory tract infections, tuberculosis). 1 AIDS/HIV 10707 2 anaemia 521 3 asthma 806 4 cardiovascular 2766 5 COPD 7 6 diabetets mellitus 1106 7 diarrhoeal diseases 0 8 direct obstetric 924 9 infectious diseases 5381 10 injuries 15216 11 liver disease 795 12 malaria 0 13 malnutrition 604 14 meningitis 2104 15 neonatal causes 504 16 malignancies 1900 17 respiratory tract infections 3796 18 tuberculosis 5771 960 other 0 961 other communicable disease 127 962 other non-communicable disease 6171 963 other external cause 0 991 indeterminate 4564 992 indeterminate (had InterVA symptoms) 0 993 indeterminate (no InterVA symptoms) 0 994 physican cod not yet assigned 9766 995 va not done 8453 997 refused 0 998 don't know 0 999 NIU (not in universe) 0 9999995 missing:impute 1914 Sysmiss 3211167 general underlying cause of death: final 2 independent physicians. na na na na All residency episodes where the event is a DEATH. 83903 3211167 The final underlying cause of death (ICD-10 code) (collapsed into these general categories: communicable disease, non-communicable disease, external cause). 1 communicable disease 29918 2 non-communicable disease 14072 3 external cause 15216 960 other 0 961 other communicable disease 0 962 other non-communicable disease 0 963 other external cause 0 991 indeterminate 4564 992 indeterminate (had InterVA symptoms) 0 993 indeterminate (no InterVA symptoms) 0 994 physican cod not yet assigned 9766 995 va not done 8453 997 refused 0 998 don't know 0 999 NIU (not in universe) 0 9999995 missing:impute 1914 Sysmiss 3211167 immediate cause of death: final 2 independent physicians. na na na na All residency episodes where the event is a DEATH. 83903 3211167 The final immediate cause of death (ICD-10 code). 100003 80 100004 85 100005 122 100016 60 100029 20 100056 24 100092 4743 100113 5932 100122 31 100124 15 100139 8 100233 28 100251 3 100253 16 100328 339 100414 20 100537 38 100686 3 100726 24 100751 86 100757 37 100836 29 100837 4460 100841 40 100865 3541 101029 23 101073 1228 101345 4 101402 44 101403 22 101414 27 101424 227 101442 39 101475 43 101495 114 101527 17 101540 8 101552 33 101669 10 101687 9 101826 251 101844 154 101853 4 101874 25 101882 22 101892 14 101909 6 102136 15 102689 73 102707 28 102813 32 103147 166 103157 45 103163 8 103165 12 103168 45 103175 8 103181 2 103183 11 103207 26 103240 7 103293 48 103298 155 103349 14 103350 26 103405 12 103406 20 103407 7 103410 16 103419 1143 103432 8 103455 5 103488 20 103620 7 103656 69 103901 268 103907 107 103909 54 103910 202 103916 35 104042 180 104069 7 104372 1210 104478 38 105080 25 105241 2 105425 37 105432 1062 105443 1973 105444 30 105551 24 105634 213 105652 40 106047 21 109525 7 109695 411 109696 52 109697 8 109714 3 109733 35 109807 27 109812 37 109824 37 109940 30 109967 72 109968 28 109982 71 109991 18 109995 718 110025 3 110035 11 110123 483 110175 48 110318 6 110655 15 111207 4383 111223 9 111299 13 111310 64 111327 509 111334 43 111380 6 111432 11 111515 159 111609 23 111714 47 111793 413 111800 9 111839 28 111859 31 112049 9 112058 144 112061 10 112147 10 112179 9 112191 37 112214 21 112223 41 112230 9 112255 724 112330 28 112382 58 112386 45 114478 125 116391 20 119645 22 120223 44 120224 32 120234 32 120275 728 120374 53 120607 41 120872 11 120887 8 120890 6 120909 7 120910 27 120911 109 120913 31 120923 42 121070 16 121074 37 121076 40 121077 10 121085 40 121261 61 121304 5 122744 11 122755 18 122866 43 122868 4 122869 86 122898 8 122936 99 123021 43 123070 62 123071 8 123280 2 123289 11 123292 2 123300 6 123316 81 123317 2 123324 7 123330 9 123354 3 123366 70 123372 4 123379 4 123387 26 123455 2 123462 2 123463 6 123466 103 123467 2 123468 4 123470 3 123471 37 123481 4 123482 12 123486 10 123489 3 123492 3 123528 11 123548 5 123560 122 123580 42 123593 3 123616 5 123631 2 123643 3 123650 2 123700 4 123774 8 123787 2 124563 3 124749 26 124770 3 124839 24 124894 54 124902 9 125182 5 125183 39 125196 68 125210 60 125495 18 125497 22 125498 39 125504 1598 126996 6 127087 15 127233 12 138441 58 156480 17 156487 11 156580 3 156714 10 159379 17 159383 47 159388 962 159392 13 159423 3 159450 15 161845 17 162816 54 162979 693 163045 194 163059 12 163785 7 163982 9 164008 46 164022 4 164512 19 164539 22 164677 109 164803 3 165021 170 165101 3 165279 30 165339 6 165533 106 166722 6 166764 131 166773 180 166781 19 166802 4090 166804 7 166805 821 166807 10 166812 26 167023 12 167060 41 167097 25 167110 39 167122 7 167134 9 167221 56 167230 226 167233 80 167302 8 167562 35 167681 29 167727 40 168240 33 168249 38 168410 14 168428 37 168515 9 168534 10 168668 16 168844 17 168956 5 169003 25 169030 46 169723 11 169775 19 169788 75 169794 136 170600 5 170616 28 170633 72 170663 13 170702 29 170718 6 170726 66 170895 31 170970 3 171245 107 171733 5 171737 16 171738 16 171742 112 171746 18 171749 26 171750 75 171751 3 171753 7 171754 4 171755 77 171759 17 171769 210 171865 144 171993 50 172149 160 172150 8 172151 11 172172 110 172173 23 172174 9 172176 75 172177 224 172178 199 172179 42 172238 58 172281 6 172321 68 172322 3 172328 67 172329 58 172368 271 172429 654 172445 339 172470 41 172483 59 172519 565 172535 244 172545 56 172547 54 172592 50 172602 33 172606 49 172666 1034 173578 15 173654 72 173656 3 173657 8 173662 6 173663 146 173667 6 173675 17 173676 56 173678 81 174960 6 999991 indeterminate 5432 999992 indeterminate (had InterVA symptoms) 0 999993 indeterminate (no InterVA symptoms) 0 999994 physican cod not yet assigned 9766 999995 va not done 8453 999996 other 0 999997 refused 0 999998 don't know 0 999999 NIU (not in universe) 0 9999995 missing:impute 1844 Sysmiss 3211167 broad immediate cause of death: final 2 independent physicians. na na na na All residency episodes where the event is a DEATH. 83903 3211167 The final immediate cause of death (ICD-10 code) (collapsed into these broad categories: AIDS/HIV, anaemia, asthma, cardiovascular, COPD, diabetets mellitus, diarrhoeal diseases, direct obstetric, infectious diseases, injuries, liver disease, malaria, malnutrition, meningitis, neonatal causes, malignancies, respiratory tract infections, tuberculosis). 1 AIDS/HIV 8070 2 anaemia 1238 3 asthma 509 4 cardiovascular 2113 5 COPD 64 6 diabetets mellitus 631 7 diarrhoeal diseases 0 8 direct obstetric 832 9 infectious diseases 6979 10 injuries 15201 11 liver disease 841 12 malaria 0 13 malnutrition 180 14 meningitis 3035 15 neonatal causes 630 16 malignancies 1754 17 respiratory tract infections 4624 18 tuberculosis 5986 960 other 0 961 other communicable disease 37 962 other non-communicable disease 5684 963 other external cause 0 991 indeterminate 5432 992 indeterminate (had InterVA symptoms) 0 993 indeterminate (no InterVA symptoms) 0 994 physican cod not yet assigned 9766 995 va not done 8453 997 refused 0 998 don't know 0 999 NIU (not in universe) 0 9999995 missing:impute 1844 Sysmiss 3211167 general immediate cause of death: final 2 independent physicians. na na na na All residency episodes where the event is a DEATH. 83903 3211167 The final immediate cause of death (ICD-10 code) (collapsed into these general categories: communicable disease, non-communicable disease, external cause). 1 communicable disease 30373 2 non-communicable disease 12834 3 external cause 15201 960 other 0 961 other communicable disease 0 962 other non-communicable disease 0 963 other external cause 0 991 indeterminate 5432 992 indeterminate (had InterVA symptoms) 0 993 indeterminate (no InterVA symptoms) 0 994 physican cod not yet assigned 9766 995 va not done 8453 997 refused 0 998 don't know 0 999 NIU (not in universe) 0 9999995 missing:impute 1844 Sysmiss 3211167 1st cause of death by InterVA Generated using InterVA-4 software, which uses probabilistic models based on Bayes' theorem to interpret symptom data and determine possible causes of death. na na na na All residency episodes where the event is a DEATH. 83903 3211167 The 1st probable cause of death (ICD-10 code) assigned by interVA-4 software. 10 01.01 sepsis (non-obstetric) 26 11 01.02 acute resp infect, incl pneumonia 6262 12 01.03 hiv/aids related death 10713 13 01.04 diarrhoeal diseases 718 14 01.05 malaria 882 15 01.06 measles 455 16 01.07 meningitis and encephalitis 2643 17 01.08, 10.05 tetanus 0 18 01.09 pulmonary tuberculosis 15078 19 01.10 pertussis 412 20 01.11 haemorrhagic fever 0 21 01.99 other and unspecified infect dis 1204 22 02.01 oral neoplasms 68 23 02.02 digestive neoplasms 827 24 02.03 respiratory neoplasms 1175 25 02.04 breast neoplasms 140 26 02.05, 02.06 reproductive neoplasms m,f 824 27 02.99 other and unspecified neoplasms 367 28 03.01 severe anaemia 205 29 03.02 severe malnutrition 214 30 03.03 diabetes mellitus 279 31 04.01 acute cardiac disease 1047 32 04.03 sickle cell with crisis 0 33 04.02 stroke 905 34 04.99 other and unspecified cardiac dis 4440 35 05.01 chronic obstructive pulmonary dis 379 36 05.02 asthma 404 37 06.01 acute abdomen 2274 38 06.02 liver cirrhosis 291 39 07.01 renal failure 385 40 08.01 epilepsy 290 41 98 other and unspecified ncd 20 42 10.06 congenital malformation 0 43 10.01 prematurity 85 44 10.02 birth asphyxia 229 45 10.03 neonatal pneumonia 235 46 10.04 neonatal sepsis 200 47 10.99 other and unspecified neonatal cod 131 48 11.01 fresh stillbirth 0 49 11.02 macerated stillbirth 0 50 12.01 road traffic accident 2716 51 12.02 other transport accident 0 52 12.03 accid fall 515 53 12.04 accid drowning and submersion 274 54 12.05 accid expos to smoke, fire & flame 2117 55 12.06 contact with venomous plant/animal 41 56 12.10 exposure to force of nature 0 57 12.07 accid poisoning and noxious subs 149 58 12.08 intentional self-harm 900 59 12.09 assault 8157 60 12.99 other and unspecified external cod 657 61 09.01 ectopic pregnancy 66 62 09.02 abortion-related death 76 63 09.03 pregnancy-induced hypertension 111 64 09.04 obstetric haemorrhage 253 65 09.05 obstructed labour 0 66 09.06 pregnancy-related sepsis 195 67 09.07 anaemia of pregnancy 20 68 09.08 ruptured uterus 0 69 09.99 other and unspecified maternal cod 31 960 other 0 961 other communicable disease 0 962 other non-communicable disease 0 963 other external cause 0 991 indeterminate 0 992 indeterminate (had InterVA symptoms) 5365 993 indeterminate (no InterVA symptoms) 0 994 physican cod not yet assigned 0 995 va not done 8453 997 refused 0 998 don't know 0 999 NIU (not in universe) 0 9999995 missing:impute 0 Sysmiss 3211167 broad 1st cause of death by InterVA Generated using InterVA-4 software, which uses probabilistic models based on Bayes' theorem to interpret symptom data and determine possible causes of death. na na na na All residency episodes where the event is a DEATH. 83903 3211167 The 1st probable cause of death (ICD-10 code) assigned by interVA-4 software (collapsed into these broad categories: AIDS/HIV, anaemia, asthma, cardiovascular, COPD, diabetets mellitus, diarrhoeal diseases, direct obstetric, infectious diseases, injuries, liver disease, malaria, malnutrition, meningitis, neonatal causes, malignancies, respiratory tract infections, tuberculosis). 1 AIDS/HIV 10713 2 anaemia 205 3 asthma 404 4 cardiovascular 6392 5 COPD 379 6 diabetets mellitus 279 7 diarrhoeal diseases 718 8 direct obstetric 721 9 infectious diseases 867 10 injuries 14869 11 liver disease 291 12 malaria 882 13 malnutrition 214 14 meningitis 2643 15 neonatal causes 749 16 malignancies 3401 17 respiratory tract infections 6262 18 tuberculosis 15078 960 other 0 961 other communicable disease 1392 962 other non-communicable disease 2969 963 other external cause 657 991 indeterminate 0 992 indeterminate (had InterVA symptoms) 5365 993 indeterminate (no InterVA symptoms) 0 994 physican cod not yet assigned 0 995 va not done 8453 997 refused 0 998 don't know 0 999 NIU (not in universe) 0 9999995 missing:impute 0 Sysmiss 3211167 general 1st cause of death by InterVA Generated using InterVA-4 software, which uses probabilistic models based on Bayes' theorem to interpret symptom data and determine possible causes of death. na na na na All residency episodes where the event is a DEATH. 83903 3211167 The 1st probable cause of death (ICD-10 code) assigned by interVA-4 software (collapsed into these general categories: communicable disease, non-communicable disease, external cause). 1 communicable disease 40239 2 non-communicable disease 14320 3 external cause 15526 960 other 0 961 other communicable disease 0 962 other non-communicable disease 0 963 other external cause 0 991 indeterminate 5365 992 indeterminate (had InterVA symptoms) 0 993 indeterminate (no InterVA symptoms) 0 994 physican cod not yet assigned 0 995 va not done 8453 997 refused 0 998 don't know 0 999 NIU (not in universe) 0 9999995 missing:impute 0 Sysmiss 3211167 individual has ever outmigrated Calculated using the history of residency episodes. na na na na All residents. 3295070 0 The individual has ever outmigrated. 0 no 2561276 1 yes 733794 2 no 0 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 0 province in Kenya from which individual came The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 Province in Kenya from which individual came. 1 central 19289 2 coast 1809 3 eastern 31433 4 nairobi 233286 5 north eastern 1581 6 nyanza 21675 7 rift valley 6321 8 western 17140 9 outside Kenya 815 96 other 0 97 refused 2 98 don't know 15229 99 NIU (not in universe) 2945087 9999995 missing:impute 1403 district in Kenya from which individual came The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 District in Kenya from which individual came. 7 4 8 1 100 central province-district unknown 9 101 kiambu 3143 102 kirinyaga 613 103 maragua 1239 104 murang'a 7824 105 nyandarua 1367 106 nyeri 2294 107 thika 2639 108 nyahururu 58 109 limuru 9 110 nanyuki 8 111 kerugoya 10 200 coast province-district unknown 4 201 kilifi 59 202 kwale 51 203 lamu 27 204 malindi 73 205 mombasa 1300 206 taita taveta 251 207 tana river 33 208 voi 7 209 shinyanga 0 210 changamwe 4 300 eastern province-district unknown 2 301 embu 781 302 isiolo 773 303 kitui 5147 304 machakos 13601 305 makueni 7225 306 marsabit 432 307 mbeere 393 310 meru 1320 311 moyale 701 312 mwingi 787 313 tharaka 43 314 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 189426 401 central 2149 402 dagoretti 861 403 embakasi 20448 404 kasarani 11130 405 kibera 1653 406 makadara 4865 407 pumwani 2184 408 westlands 570 500 north eastern province-district unknown 0 501 garissa 256 502 ijara 22 503 mandera 1054 504 wajir 229 505 elwak 12 508 3 600 nyanza province-district unknown 14 601 bondo 1040 603 homa bay 1150 604 kisii central 2878 605 kisumu 2732 606 kuria 449 607 migori 1021 608 kisii 4550 609 nyando 655 610 karachuonyo 660 611 siaya 6219 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 228 703 bureti 17 704 kajiado 1190 705 keiyo 40 706 kericho 243 707 koibatek 42 708 laikipia 263 709 nakuru 2545 711 nandi 222 712 narok 187 713 samburu 31 714 transmara 40 715 trans nzoia 700 716 turkana 34 717 uasin gishu 427 718 west pokot 6 719 kitale 24 720 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 1441 802 busia 3260 803 butere/mumias/bunyore 4394 804 kakamega 3601 805 lugari 363 806 elgon 453 807 teso 182 808 vihiga 3362 809 webuye 11 810 amagoro 3 900 outside Kenya 797 9996 other 0 9997 refused 15 9998 don't know 14515 9999 NIU (not in universe) 2945087 9999995 missing:impute 2504 type of area in Kenya from which individual came The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 Type of area in Kenya from which individual came. 1 within same DSA slum 4135 2 other DSA slum 188 3 non-DSA nairobi slum 23578 4 nairobi non-slum 33037 5 other urban Kenya 7789 6 rural Kenya 90812 7 outside Kenya 848 96 other 0 97 refused 0 98 don't know 17198 99 NIU (not in universe) 3117472 9999995 missing:impute 13 village in nairobi slum from which individual came The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 Village in Nairobi slum in Kenya from which individual came. 1 vw:paradise-(V01:V007-V009) 1731 2 vw:sinai-(V02:V010-V014) 2129 3 vw:jamaica-(V03:V015-V019) 1188 4 vw:lunga lunga-(V04:V020-V031) 1721 5 vw:donholm-(V05:V033-V039) 2151 6 vw:kingstone-(V06:V040 & V140) 2340 7 vw:industrial area-dsa-(V07:V032) 269 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) 1491 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) 5 23 lm:police-(L15:L042) 15 24 lm:shimo la tewa-(L16:L040) 0 25 gt:grogan A-(G01:G001-G005) 674 26 gt:grogan B-(G02:G006-G021) 562 27 gt:gitathuru C-(G03:G022-G033) 1344 28 gt:ngomongo-nondsa-(G04:G049-G050) 1469 29 gt:ngunyumu V-nondsa-(G05:G034-G048) 163 30 ny:nyayo/kisumu ndogo-(Y01:Y001-Y018) 1323 31 ny:korogocho A-(Y02:Y019-Y038) 1529 32 kg:korogocho AB-(Y03:Y039-Y043) 549 33 kg:highridge-(Y04:Y044-Y069) 2312 40 nondsa village 0 96 other 0 97 refused 0 98 don't know 156714 99 NIU (not in universe) 3114790 9999995 missing:impute 491 duration of stay (months) at place from which individual came The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 Todal duration of stay (months) at place from which individual came. 0 less than 1 month 114 1 614 2 1234 3 1063 4 1626 5 1470 6 1732 7 856 8 918 9 677 10 308 11 223 12 7055 13 531 14 816 15 323 16 352 17 216 18 643 19 129 20 242 21 125 22 92 23 41 24 8580 25 232 26 500 27 256 28 262 29 92 30 396 31 81 32 101 33 64 34 64 35 28 36 4128 37 115 38 346 39 104 40 166 41 41 42 160 43 51 44 39 45 35 46 38 47 14 48 3504 49 55 50 234 51 144 52 97 53 45 54 123 55 19 56 39 57 28 58 21 59 5 60 2093 61 22 62 81 63 32 64 51 65 32 66 60 67 17 68 15 69 13 70 12 71 5 72 1159 73 29 74 109 75 38 76 42 77 25 78 34 79 21 80 17 81 10 82 11 83 6 84 711 85 7 86 41 87 18 88 11 89 1 90 23 91 8 92 10 93 6 94 2 95 3 96 617 97 16 98 27 99 11 100 9 101 4 102 11 103 4 104 8 105 7 106 4 107 2 108 367 109 5 110 30 111 2 112 10 113 1 114 7 115 3 116 7 117 8 118 4 119 1 120 1031 121 20 122 29 123 10 124 14 125 6 126 22 127 1 128 5 129 7 130 7 132 77 133 2 134 6 135 1 136 3 137 1 138 6 139 2 141 1 142 1 143 4 144 186 146 6 147 4 150 3 151 2 152 1 156 101 158 3 159 2 162 3 163 2 164 1 165 1 166 1 168 115 170 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 1 192 168 194 7 195 1 197 1 198 3 202 1 204 161 207 1 209 1 210 1 216 211 217 2 218 2 220 2 222 7 226 2 228 105 230 1 231 1 232 1 234 3 235 1 236 2 239 1 240 720 241 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 54 278 2 279 3 280 4 281 2 282 4 284 2 285 1 288 58 290 1 291 2 292 1 293 1 294 1 300 158 301 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 3 360 144 362 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 5 564 3 600 22 624 1 648 1 672 1 696 1 720 4 732 1 780 4 813 1 828 1 840 3 960 3 968 1 972 1 1068 2 9991 since birth 40463 9993 rest of life 0 9994 no duration given 0 9996 other 0 9997 refused 69 9998 don't know 15901 9999 NIU (not in universe) 3117472 9999995 missing:impute 69156 reason for outmigrating from place from which individual came The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 The reason for leaving the place from which individual came. 10 to be with family/friend 94243 20 insecurity 1692 30 poor housing conditions/amenities/environment 14780 40 poor job/business prospects 53529 50 high cost of living 4934 51 rent expensive/evicted 6714 60 poor health services 488 63 to seek medical care 300 64 pregnant female left to deliver 37 66 4 70 inaccessible/far from road/services 4176 80 to attend school/college/training 5227 91 for a change/independence 3013 100 civil/other forms of conflict 998 996 other 381 997 refused 13 998 don't know 159419 999 NIU (not in universe) 2945087 9999995 missing:impute 35 reason for inmigrating to Nairobi The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 The reason for coming to Nairobi. 10 to be with family/friend 51488 20 security is better here 68 30 better housing conditions/amenities/environment 327 40 better job/business prospects 41621 50 low general cost of living 381 51 rent is cheap/rooms available 188 60 health services & environment are good 168 63 was sick and needed medical/other care here 186 64 pregnant female came here to deliver 23 66 2 70 accessible/close to the road/services 869 80 to attend school/college/training 4078 91 for a change/independence 657 100 fewer civil conflicts 17 996 other 94 997 refused 1 998 don't know 14494 999 NIU (not in universe) 3178410 9999995 missing:impute 1998 reason for inmigrating to Korogocho/Viwandani The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 The reason for coming to Korogocho/Viwandani. 10 to be with family/friend 116507 20 security is better here 1542 30 better housing conditions/amenities/environment 16094 40 better job/business prospects 18181 50 low general cost of living 14758 51 rent is cheap/rooms available 18747 60 health services & environment are good 292 63 was sick and needed medical/other care here 49 64 pregnant female came here to deliver 6 66 5 70 accessible/close to the road/services 2153 80 to attend school/college/training 652 81 1 91 for a change/independence 1133 100 fewer civil conflicts 15 996 other 387 997 refused 15 998 don't know 159410 999 NIU (not in universe) 2945087 9999995 missing:impute 36 since August 2002, inmigrant has ever lived in DSA The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 The individual has ever lived in the DS since August 2002. 0 no 0 1 yes 199190 2 no 112629 6 other 0 7 refused 0 8 don't know 14948 9 NIU (not in universe) 2945087 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 23216 individual moved to DSA temporarily or to stay The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 This entry/inmigration is either temporary or permanent. 1 moved to stay 22652 2 just here temporarily 3357 6 other 0 7 refused 0 8 don't know (unsure) 22172 9 NIU (not in universe) 3117472 9999995 missing:impute 129417 duration of intended stay (months) in DSA this time around The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 Total duration of intended stay (months) in DSA this time around. 0 less than 1 month 61 1 275 2 76 3 25 4 12 5 6 6 10 7 4 8 4 9 3 11 1 12 39 13 2 15 1 18 4 24 27 27 1 36 17 39 1 48 11 51 1 60 19 63 1 66 3 72 3 96 1 108 5 117 1 120 11 168 1 240 1 600 1 1056 1 1068 1 9991 since birth 0 9993 rest of life 1349 9994 no duration given 129 9996 other 0 9997 refused 11 9998 don't know 25237 9999 NIU (not in universe) 3117472 9999995 missing:impute 150242 person(s) with whom individual moved The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 The person(s) with whom individual moved. 1 alone 61414 2 whole hhd 93341 3 part of previous hhd 34759 4 other hhd living in DSA 674 5 other hhd living outside DSA 38 96 other 924 97 refused 0 98 don't know 156713 99 NIU (not in universe) 2945087 9999995 missing:impute 2120 individual's aim for moving The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 The individual's aim for moving. 1 form a new household 80388 2 join a household 75195 3 relocate the same household 36007 6 other 0 7 refused 0 8 don't know 158387 9 NIU (not in universe) 2945087 9999995 missing:impute 6 individual formed an arbitrary household The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 The individual formed an arbitrary household. 0 no 0 1 yes 1472 2 no 108243 6 other 0 7 refused 0 8 don't know 156715 9 NIU (not in universe) 3022670 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 5970 individual had an income-generating activity before inmigrating The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 The individual had an income-generating activity before inmigrating. 0 no 0 1 yes 27810 2 no 42310 6 other 0 7 refused 0 8 don't know 14110 9 NIU (not in universe) 3181429 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 29411 type of income-generating activity before coming here The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 The type of income-generating activity the individual had before coming here. 0 no IGA 42310 1 own business:unestablished 2989 2 own business:established 1814 3 informal:casual 10354 4 informal:salaried 2014 5 formal:casual 5953 6 formal:salaried 2424 7 agriculture:rural 2004 8 agriculture:urban 30 96 other 93 97 refused 0 98 don't know 14110 99 NIU (not in universe) 3181429 9999995 missing:impute 29546 duration of wait (weeks) before first income generating activity in DSA The respondent. na na na na All residency episodes where a change of residence-entry and/or an inmigration event occurred. 3295070 0 The total duration of wait (weeks) before the individual obtained their first income generating activity in DSA. 0 less than 1 week 7659 1 3359 2 2935 3 1100 4 4983 5 516 6 357 7 101 8 2899 9 170 10 145 11 54 12 4 13 983 14 20 15 54 16 24 17 565 18 7 19 28 20 15 21 237 22 1 23 10 24 2 26 148 27 9 28 8 29 4 30 68 32 1 33 1 34 35 35 3 36 1 39 51 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 1 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 21581 9991 since birth 0 9993 rest of life 0 9994 no duration given 0 9996 other 0 9997 refused 22 9998 don't know 15557 9999 NIU (not in universe) 3218670 9999995 missing:impute 12577 province in Kenya to which individual went The respondent. na na na na All residency episodes where a change of residence-exit and/or an outmigration event occurred. 3295070 0 Province in Kenya to which individual went. 1 central 14325 2 coast 1694 3 eastern 23081 4 nairobi 265492 5 north eastern 1433 6 nyanza 17653 7 rift valley 3654 8 western 12462 9 outside Kenya 1123 96 other 0 97 refused 0 98 don't know 15997 99 NIU (not in universe) 2936677 9999995 missing:impute 1479 district in Kenya to which individual went The respondent. na na na na All residency episodes where a change of residence-exit and/or an outmigration event occurred. 3295070 0 District in Kenya to which individual went. 100 central province-district unknown 0 101 kiambu 2594 102 kirinyaga 462 103 maragua 816 104 murang'a 6212 105 nyandarua 845 106 nyeri 1320 107 thika 1887 108 nyahururu 25 109 limuru 7 110 nanyuki 4 111 kerugoya 1 200 coast province-district unknown 0 201 kilifi 42 202 kwale 27 203 lamu 29 204 malindi 34 205 mombasa 1362 206 taita taveta 176 207 tana river 19 208 voi 1 209 shinyanga 0 210 changamwe 0 300 eastern province-district unknown 1 301 embu 502 302 isiolo 875 303 kitui 3123 304 machakos 11217 305 makueni 4478 306 marsabit 311 307 mbeere 248 310 meru 933 311 moyale 610 312 mwingi 413 313 tharaka 24 314 kangundo 32 315 athi river 3 316 matuu 6 317 mwanza 3 318 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 194415 401 central 1631 402 dagoretti 553 403 embakasi 42115 404 kasarani 18289 405 kibera 715 406 makadara 5729 407 pumwani 1664 408 westlands 378 500 north eastern province-district unknown 0 501 garissa 285 502 ijara 24 503 mandera 917 504 wajir 183 505 elwak 14 600 nyanza province-district unknown 6 601 bondo 916 603 homa bay 850 604 kisii central 2165 605 kisumu 2953 606 kuria 449 607 migori 659 608 kisii 2163 609 nyando 514 610 karachuonyo 455 611 siaya 6165 612 suba 114 613 oyugis 2 614 ugenya 10 615 nyakach 7 616 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 113 703 bureti 23 704 kajiado 896 705 keiyo 21 706 kericho 130 707 koibatek 39 708 laikipia 146 709 nakuru 1339 711 nandi 65 712 narok 155 713 samburu 23 714 transmara 12 715 trans nzoia 291 716 turkana 29 717 uasin gishu 287 718 west pokot 5 719 kitale 21 720 molo 3 721 bureti 5 722 kinangop 3 723 nyambene 0 724 maseno 0 725 kapsabet 0 800 western province-district unknown 0 801 bungoma 896 802 busia 2424 803 butere/mumias/bunyore 2989 804 kakamega 3439 805 lugari 238 806 elgon 298 807 teso 163 808 vihiga 1840 809 webuye 11 810 amagoro 0 900 outside Kenya 1122 9996 other 0 9997 refused 1 9998 don't know 15746 9999 NIU (not in universe) 2936677 9999995 missing:impute 2592 type of area in Kenya to which individual went The respondent. na na na na All residency episodes where a change of residence-exit and/or an outmigration event occurred. 3295070 0 Type of area in Kenya to which individual went. 1 within same DSA slum 5237 2 other DSA slum 158 3 non-DSA nairobi slum 38966 4 nairobi non-slum 47446 5 other urban Kenya 6941 6 rural Kenya 66954 7 outside Kenya 1145 96 other 0 97 refused 0 98 don't know 18131 99 NIU (not in universe) 3110084 9999995 missing:impute 8 village in nairobi slum to which individual went The respondent. na na na na All residency episodes where a change of residence-exit and/or an outmigration event occurred. 3295070 0 Village in Nairobi slum in Kenya to which individual went. 1 vw:paradise-(V01:V007-V009) 9853 2 vw:sinai-(V02:V010-V014) 13392 3 vw:jamaica-(V03:V015-V019) 7829 4 vw:lunga lunga-(V04:V020-V031) 10608 5 vw:donholm-(V05:V033-V039) 11195 6 vw:kingstone-(V06:V040 & V140) 11653 7 vw:industrial area-dsa-(V07:V032) 1298 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) 2270 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) 4720 26 gt:grogan B-(G02:G006-G021) 3703 27 gt:gitathuru C-(G03:G022-G033) 8265 28 gt:ngomongo-nondsa-(G04:G049-G050) 2531 29 gt:ngunyumu V-nondsa-(G05:G034-G048) 252 30 ny:nyayo/kisumu ndogo-(Y01:Y001-Y018) 9518 31 ny:korogocho A-(Y02:Y019-Y038) 10437 32 kg:korogocho AB-(Y03:Y039-Y043) 3541 33 kg:highridge-(Y04:Y044-Y069) 14176 40 nondsa village 0 96 other 0 97 refused 0 98 don't know 20076 99 NIU (not in universe) 3149491 9999995 missing:impute 195 reason for outmigrating The respondent. na na na na All residency episodes where a change of residence-exit and/or an outmigration event occurred. 3295070 0 The reason for exiting/outmigrating. 10 to be with family/friend 177428 20 insecurity 4944 30 poor housing conditions/amenities/environment 78134 40 poor job/business prospects 29321 50 high cost of living 3893 51 rent expensive/evicted 4942 60 poor health services 1021 63 to seek medical care 725 64 pregnant female left to deliver 32 70 inaccessible/far from road/services 2198 80 to attend school/college/training 4004 91 for a change/independence 10337 100 civil/other forms of conflict 2365 996 other 4939 997 refused 53 998 don't know 33827 999 NIU (not in universe) 2936677 9999995 missing:impute 230 person(s) with whom individual moved The respondent. na na na na All residency episodes where a change of residence-exit and/or an outmigration event occurred. 3295070 0 The person(s) with whom individual moved. 1 alone 39523 2 whole hhd 256330 3 part of previous hhd 40047 4 other hhd living in DSA 0 5 other hhd living outside DSA 0 96 other 0 97 refused 0 98 don't know 20074 99 NIU (not in universe) 2936677 9999995 missing:impute 2419 outmigrant was ill The respondent. na na na na All residency episodes where a change of residence-exit and/or an outmigration event occurred. 3295070 0 The individual was ill. 0 no 0 1 yes 697 2 no 122128 6 other 0 7 refused 0 8 don't know 21090 9 NIU (not in universe) 3110084 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 41071 outmigrant's illness The respondent. na na na na All residency episodes where a change of residence-exit and/or an outmigration event occurred. 180547 0 The individual's illness. 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 2 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 2 COULD NOT TELL BUT WAS VERY WEAK 1 DIABETES 4 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 3 DONT KNOW 24 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 2 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 2 2 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) 2 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. 2 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 20 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 43017 NOT APPLICABLE 137248 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 2 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 2 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 3 TB 15 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 4 TUBERCLOSIS(TB) 1 TUBERCULOSIS 15 TUBERCULOSIS(TB) AND WAS HIV POSITIVE 1 TUBERCULOSIS, WEIGHT LOSS & ANAEMIC, BED SORES, CERVICAL CANCER 1 TYPHOID 7 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. na na na na All residency episodes where a change of residence-exit and/or an outmigration event occurred among female residents. 3295070 0 The female was pregnant. 0 no 0 1 yes 540 2 no 23113 6 other 0 7 refused 0 8 don't know 32097 9 NIU (not in universe) 3202328 96 other 0 97 refused 0 98 don't know 0 99 NIU (not in universe) 0 9999995 missing:impute 36992 duration of female outmigrant's pregnancy (months) The respondent. na na na na All residency episodes where a change of residence-exit and/or an outmigration event occurred among female residents. 3295070 0 The total duration of female outmigrant's pregnancy (months). 1 1-3 months 66 2 4-6 months 196 3 7-9 months 273 6 other 0 7 refused 0 8 don't know 15078 9 NIU (not in universe) 3242460 9999995 missing:impute 36997 type of residency change The respondent. na na na na All residency episodes where a change of residence-exit and/or an outmigration event occurred. 3295070 0 The type of residency change. 1 physical location change 96903 2 split from previous hhd-maintained room ID 181 6 other 0 7 refused 0 8 don't know 4996 9 NIU (not in universe) 3192982 9999995 missing:impute 8 individual had an OUTMIGRATION/EXIT interview Calculated. na na na na All residency episodes that are change of residence-exit and/or an outmigration. 3295070 0 This residency episode denotes a change of residence-exit and/or an outmigration for which an interview was conducted to obtain the details of the movement. 0 no 2936677 1 yes 358393 2 no 0 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 0 individual had an INMIGRATION/ENTER interview Calculated. na na na na All residency episodes that are change of residence-entry and/or an inmigration. 3295070 0 This residency episode denotes a change of residence-entry and/or an inmigration for which an interview was conducted to obtain the details of the movement. 0 no 2945087 1 yes 349983 2 no 0 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 0 individual had a BIRTH event Calculated. na na na na All residency episodes that are births. 3295070 0 This residency episode denotes the occurrence of a birth and only applies to individuals born in the DSA since August 2002. 0 no 3269282 1 yes 25788 2 no 0 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 0 individual had a DEATH event Calculated. na na na na All residency episodes that are deaths. 3295070 0 This residency episode denotes the occurrence of a death and is the numerator in mortality rate compuations. 0 no 3289149 1 yes 5921 2 no 0 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 0 individual had an OUTMIGRATION event Calculated. na na na na All residency episodes that are actual outmigrations. 2913114 381956 This residency episode denotes the occurrence of an outmigration and is the numerator in outmigration rate compuations. 0 no 2879831 1 yes 33283 2 no 0 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 0 Sysmiss 381956 individual had an INMIGRATION event Calculated. na na na na All residency episodes that are actual inmigrations. 2913114 381956 This residency episode denotes the occurrence of an inmigration and is the numerator in inmigration rate compuations. 0 no 2766232 1 yes 146882 2 no 0 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 0 Sysmiss 381956 individual had a GIVING BIRTH event Calculated. na na na na All residency episodes that are giving birth events among female individuals. 3295070 0 This residency episode denotes the occurrence of giving birth and is the numerator in fertility rate compuations. 0 no 3270585 1 yes 24485 2 no 0 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 0 individual has a PREGNANT event Calculated. na na na na All residency episodes that are pregnancies among female individuals. 3295070 0 This residency episode denotes the occurrence of being pregnant. 0 no 3227740 1 yes 67330 2 no 0 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 0 individual had a in-boarding school event Calculated. na na na na All residency episodes where the individual was in boarding school. 3295070 0 This residency episode denotes the occurrence of being in boarding school. 0 no 3282189 1 yes 12881 2 no 0 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 0 this episode is a valid residency in the NUHDSS Calculated. na na na na All residency episodes where the individual was resident in and exposed to the DSA. 3295070 0 This residency episode denotes those episodes during which the individual was resident in the DSA and exposed to the conditions therein. The person-time contributed by the individual is the sum total of residency episodes where this variable is coded as 1, which is aggregated in the denominator for the computation of rates. 0 no 398121 1 yes 2896949 2 no 0 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 0