Kenya Integrated Household Budget Survey 2005-2006 DDI-KEN-KNBS-KIHBS-2005-2006-v1.3 Kenya National Bureau of Statistics Kenya National Bureau of Statistics 2007-12-03 Metadata Editor KIHBS 2005-2006 Version 1.1: This is the IHSN reviewed version which contains some updates compared to version 1.0 Kenya Integrated Household Budget Survey 2005-2006 KIHBS 2005-2006 KEN-KNBS-KIHBS-2005-2006-v1.3 Kenya National Bureau of Statistics Metadata Editor Government of Kenya Department for International Development(UK) United States Agency for International Developmant General Data Dissemination System Director General Integrated Survey (non-LSMS) [hh/is] Compared to v1.1 this version this version has been subjected to basic anonymization procedure. This involved (a) removing NASSEPIV indentifiers below the district level, (b) scramling of NASSEPIV household identifiers and replaced by a serialised household identifier, and (c) removing household GIS coordinates. In addition this version contains additional modules; Labour Child health and enterprises. KENYA The survey covered all household members (usual residents), all women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household. Sample survey data [ssd] Kenya National Bureau of Statistics From the design sample of 1,343 clusters, only 1,339 clusters were covered the remianing 4 clusters were not covered due to Inaccessibilty and security issues. Face-to-face [f2f] Estimates of sampling error was calculated for the poverty level estimates only using ............. Kenya National Bureau of Statistics "Kenya Integrated Household Budget Survey 2005-2006, Version 1.0 of the KNBS dataset " The user of the data acknowledges that the original collector of the data, the authorized distributor of the data bear no responsibility for use of the data or for interpretations or inferences based upon such uses. Section A Identification.NSDstat The file contains data related to Section A of the Integrated Household Budget Survey (KIHBS) 2005/06 questionnaire (Household Identification). It also contains the weighting coeffient 13212 13 Nesstar 200401 Kenya National Bureau of Staistics Consistency checks performed Section B Household member Information.NSDstat 66725 32 Nesstar 200401 Section C education.NSDstat 59126 40 Nesstar 200401 Section D Health.NSDstat 66677 41 Nesstar 200401 Section D Fertility.NSDstat 53311 17 Nesstar 200401 section D Deaths.NSDstat 12986 10 Nesstar 200401 Section E Labour.NSDstat 62256 35 Nesstar 200401 Section F Child health.NSDstat 51485 63 Nesstar 200401 Section G Housing.NSDstat 13077 24 Nesstar 200401 Section H1 Water Sanitation.NSDstat 12997 48 Nesstar 200401 Section H2 Energy.NSDstat 71304 17 Nesstar 200401 Section N Agriculture Holding.NSDstat 16804 45 Nesstar 200401 Section O Agriculture Output.NSDstat 28301 44 Nesstar 200401 Section P1 Livestock.NSDstat 28248 40 Nesstar 200401 Section P2 Livestock.NSDstat 27176 11 Nesstar 200401 Section Q Household Enterprises.NSDstat 13311 40 Nesstar 200401 Section R Transfers.NSDstat 12924 24 Nesstar 200401 Kenya national Bureau of Statistics Version 1.0 Section S Other Income.NSDstat Information has already been collected on income from employment, from agriculture, livestock, household enterprises and transfers. This section collects quite aggregated and general information on other income sources for the household. The reference period for this section is the last 12 months. Only if the household received income from one of the income sources considered in this section over the past 12 months, should it be noted. 12848 23 Nesstar 200401 Kenya National Bureau of Statistics Section T Recent Shocks.NSDstat This section collects information on household shocks, referred to here as negative economic and social impact on Household, resulting from an event/ occurrence that negatively affected the welfare of the household. Such shocks may not be economic nor necessarily wholly negative in their nature, but amongst the effects is to cause a reduction in the economic welfare of the household. 82506 14 Nesstar 200401 Kenya National Bureau of Statistics Section U Credit.NSDstat 14149 20 Nesstar 200401 Kenya national Bureau of Statistics Version 1.0 consumption aggregated data.NSDstat 13158 105 Nesstar 200401 Province Code WRITE CODE and NAME for Province PROVINCE Please fill in A01 with the required information on the province 13212 35533585.6 0 0 1 8 The region (Province) where the cluster for enumeration is located. Administratively, Kenya is divided into eight (8) provinces, within each province are the districts and within each district are the divisions etc 1 Nairobi 672 2811411.6 2 Central 1481 4383435.6 3 Coast 1255 3278668.2 4 Eastern 2391 5832129.5 5 North Eastern 509 1106309.1 6 Nyanza 2111 5052689.7 7 Rift Valley 3285 8727520.8 8 Western 1508 4341421.1 District code WRITE CODE and NAME for District DISTRICT Please fill in A02 with the required information on the province 13212 35533585.6 0 0 101 808 The district where the cluster for enumeration is located. Administratively, a provinces is divided into districts and within each district are the divisions etc 101 Nairobi 672 2811411.6 201 Kiambu 268 983764.7 202 Kirinyaga 190 541865.5 203 Muranga 167 367386.4 204 Nyandarua 190 541614.5 205 Nyeri 249 757361.1 206 Thika 247 723302.8 207 Maragua 170 468140.6 301 Kilifi 169 603872 302 Kwale 169 735140.9 303 Lamu 170 80472.4 304 Mombasa 240 890595.8 305 Taita Taveta 167 306934.9 306 Tana River 170 273838.3 307 Malindi 170 387813.9 401 Embu 169 367098.3 402 Isiolo 169 113697.7 403 Kitui 179 644013.3 404 Makueni 219 990023.4 405 Machakos 260 1201430 406 Marsabit 159 145580.6 407 Mbeere 170 205423 408 Meru Central 195 602695.7 409 Moyale 170 75782.3 410 Mwingi 170 384254 411 Nyambene 192 731215 412 Tharaka 170 119872.8 413 Meru South 169 251043.4 501 Garissa 169 398676 502 Mandera 170 318790.5 503 Wajir 170 388842.6 601 Gucha 169 514569.6 602 Homa Bay 165 307296 603 Kisii 178 534568 604 Kisumu 195 650845.6 605 Kuria 169 194052.5 606 Migori 186 568593.3 607 Nyamira 180 571378.6 608 Rachuonyo 170 400419.5 609 Siaya 199 552508.6 610 Suba 161 162576.9 611 Bondo 169 252380.1 612 Nyando 170 343501 701 Baringo 170 377415.7 702 Bomet 163 462239.8 703 Keiyo 170 193744.2 704 Kajiado 179 486699.5 705 Kericho 180 477983.2 706 Koibatek 170 186690.6 707 Laikipia 170 423588.2 708 Marakwet 153 178365.8 709 Nakuru 349 1331205.8 710 Nandi 190 770953.3 711 Narok 165 472382.2 712 Samburu 150 199219.2 713 Trans Mara 158 198722.1 714 Trans Nzoia 200 879600.9 715 Turkana 170 538948.6 716 Uasin Gishu 210 761022.2 717 West Pokot 168 376668 718 Buret 170 412071.5 801 Bungoma 249 1188440.7 802 Busia 168 533678.1 803 Mt. Elgon 170 225199.4 804 Kakamega 208 667142.9 805 Lugari 170 269514.2 806 Teso 166 252686.6 807 Vihiga 189 618792.5 808 Butere/Mumias 188 585966.7 Area of residence 13158 35412881.1 54 120704.5 1 2 The region (Residence- Rural/Urban) where the cluster for enumeration is located 1 Rural 8475 28325351.9 2 Urban 4683 7087529.2 This variable is derived by recoding the cluster variable as belonging to Rural stratification or Urban stratification. Those clusters in rural are given code 1 while those in Urban is giv en code 2 The original cluster (Codes) have been serialized to give the current codes (For the purpose of anonymization) Cycle Number 13208 4 1 17 A period not exceeding 21 days in which each survey team in a given place before proceeding to the next cycle 1 Cycle 1 862 2 Cycle 2 860 3 Cycle 3 829 4 Cycle 4 832 5 Cycle 5 801 6 Cycle 6 795 7 Cycle 7 814 8 Cycle 8 792 9 Cycle 9 806 10 Cycle 10 752 11 Cycle 11 787 12 Cycle 12 741 13 Cycle 13 782 14 Cycle 14 710 15 Cycle 15 754 16 Cycle 16 683 17 Cycle 17 608 This variable is derived by recoding the time periods (each of 21 days) from the start of the survey to the end of the survey into respespective cycles. Serialised Cluster Code WRITE CODE and NAME for Cluster 13212 0 1 1339 668.949 386.743 The primary sampling unit Serialised household code WRITE down the household number 13212 0 1 10 5.465 2.86 A household is a person or a group of people living in the same compound (fenced or unfenced), answerable to the same head and sharing a common source of food and/or income as a single unit in the sense that they have common housekeeping arrangements (that is, share or are supported by a common budget). Date of interview (CMC) 13208 4 1265 1276 1270.579 3.409 The Century month code for the date of interview The century month code was derived from the month and year of interview Household Size 13212 0 1 29 5.05 2.81 Total number of household members The variable has been derived by summing up all household members within the household is household replaced DOES THIS HOUSEHOLD REPLACE ANOTHER SAMPLE HOUSEHOLD CHOSEN FOR THE SURVEY? 13212 6977232.4 0 0 1 2 Household replacement 1 Yes 1927 1006477.2 2 No 11285 5970755.2 why household replaced WHY WAS ORIGINALLY SELECTED HOUSEHOLD REPLACED? 1927 1006477.2 11285 5970755.2 1 6 1 hld member could not be found 878 488962.5 2 respondent refused 185 82113.5 3 unoccupied 551 276832.4 4 not a residential building 44 15812 5 destroyed 103 58488.5 6 not found 166 84268.3 Filter variable 13212 6977232.4 0 0 1 2 The filter between the total number of households which participated in the survey and those tyhat were used for analysing the poverty status. 1 Households used for poverty estimation 13158 6953605 2 Excluded Households for poverty estimation 54 23627.4 Cluster weight 13212 0 11.1 3922.6 528.098 463.421 The weighting Coeffient at the household level Population weight 13212 0 11.1 31785.6 2689.493 2880.011 he weighting Coeffient for the population cluster 66725 0 1 1339 663.081 393.851 hhld serial number 1 - 10? 66725 0 1 10 5.429 2.86 modue ID code 66725 0 1 29 3.809 2.576 relationship 66725 0 1 10 3.45 2.077 sex 66725 0 1 2 1.507 0.5 age in years 66725 0 0 99 22.172 18.596 age in months 10097 56628 1 99 6.214 7.808 DOB, day 66694 31 1 99 50.488 41.662 DOB, month 66684 41 1 99 39.476 44.012 DOB, year 66719 6 1902 9999 2002.468 394.907 cummuated months ast 12 nonths 66711 14 0 99 1.536 8.959 hhld member no 65750 975 1 22 1.609 1.045 raised/brought up 65715 1010 1 6 1.692 1.189 district/country of birth 10494 56231 101 999 546.88 231.465 year of migration 10490 56235 1930 9999 2153.895 1121.266 reason for migrating 10479 56246 1 13 5.769 3.768 biological father alive 65745 980 1 99 57.382 46.92 age when biological father died 17662 49063 1 99 35.57 32.671 biological mother alive 65727 998 1 99 45.298 47.041 age when biological mother died 10583 56142 1 99 40.071 32.606 filter ques for 10 years + 65707 1018 1 2 1.296 0.456 religion 46214 20511 1 7 2.333 1.273 marital status 46197 20528 1 7 4.452 2.826 spouse/partner live in hhld 19212 47513 1 7 1.128 0.343 spouse/partner line no, 1 16698 50027 1 27 1.665 1.112 spouse/partner line no, 2 146 66579 1 16 3.863 3.106 spouse/partner line no, 3 10 66715 4 8 4.8 1.398 spouse/partner line no, 4 1 66724 2 2 2 spouse living outside 9133 57592 1 2 1.684 0.465 no of spouse living outside 3079 63646 1 6 1.126 0.413 no of kids 15 + years for hhld member 2016 64709 1 31 2.507 2.326 Filter variable 66725 0 1 2 1.004 0.0609 Serialised Cluster Number 59126 0 1 1339 660.914 393.478 Serialised HH Number 59126 0 1 10 5.428 2.86 Module ID code 59126 0 1 28 3.562 2.457 ed 59126 0 1 2 1 age < 3 years 4 2 age >= 3 years 59122 Ever attended school 59055 71 1 2 1 yes 47238 2 no 11817 Grade Completed 42877 16249 1 21 0 Pre-School 0 1 STD 1 2804 2 STD 2 3072 3 STD 3 3121 4 STD 4 3303 5 STD 5 3175 6 STD 6 3575 7 STD 7 4932 8 STD 8 6047 9 FORM 1 1108 10 FORM 2 1709 11 FORM 3 938 12 FORM 4 6170 13 FORM 5 26 14 FORM 6 343 15 UNIV 1 73 16 UNIV 2 66 17 UNIV 3 136 18 UNIV 4 305 19 UNIV 5 & above 141 20 NONE 1610 21 OTHER 223 25 Not Stated 0 Year completed highest grade 41396 17730 1914 9999 2087.814 854.26 Highest vocational training completed 42876 16250 1 4 1 govn college 2500 2 commercial college 2531 3 vocational/village 840 4 none 37005 Highest educational qualification acquired 47170 11956 1 11 1 none 28731 2 CPE/KCPE 9920 3 KCE/KCSE 4370 4 KJSE 338 5 KACE/EAACE 188 6 certificate 2220 7 diploma private institution 431 8 diploma 305 9 degree 394 10 post graduate degree/diploma 155 11 others 118 Age started school 47147 11979 1 99 6.789 6.247 Attended school last year 47162 11964 1 2 1 yes 23398 2 no 23764 Graded attended last year 19230 39896 1 23 0 pre school 0 1 std 1 2614 2 std 2 2451 3 std 3 2170 4 std 4 1923 5 std 5 1961 6 std 6 1902 7 std 7 1656 8 std 8 1323 9 form 1 683 10 form 2 625 11 form 3 554 12 form 4 510 13 form 5 24 14 form 6 11 15 university 1 83 16 university 2 52 17 university 3 57 18 university 4 28 19 university 5 & above 26 20 govn college 197 21 commercial college 237 22 vocational village 24 23 others 119 Currently attending school 47161 11965 1 2 1 yes 23950 2 no 23211 Reason for not or never attended school - main 31644 27482 1 12 0 Still too young 0 1 No money 12705 2 Poor Schools 154 3 Own illness/Disability 709 4 Family illness/Disability 342 5 Not interested 2859 6 Parents did not let me 4388 7 Working to help at home 1749 9 School too far 536 10 School conflict with beliefs 793 11 Other 5550 15 Not Stated 0 Reason for not or never attended school - second 5873 53253 1 12 0 Still too young 0 1 No money 718 2 Poor Schools 245 3 Own illness/Disability 75 4 Family illness/Disability 174 5 Not interested 351 6 Parents did not let me 1172 7 Working to help at home 1750 9 School too far 347 10 School conflict with beliefs 442 11 Completed school 156 12 Other 439 15 Not Stated 0 Current Grade 20408 38718 1 23 0 Pre-School 0 1 STD 1 2702 2 STD 2 2435 3 STD 3 2370 4 STD 4 2179 5 STD 5 1857 6 STD 6 1877 7 STD 7 1962 8 STD 8 1489 9 FORM 1 758 10 FORM 2 649 11 FORM 3 626 12 FORM 4 538 13 FORM 5 26 14 FORM 6 19 15 UNIV 1 54 16 UNIV 2 63 17 UNIV 3 49 18 UNIV 4 47 19 UNIV 5 & above 25 20 Government College 182 21 264 22 Village 38 23 OTHER 199 25 Not Stated 0 Management of school 23940 35186 1 10 1 Government 19648 2 Private Church 1113 3 Private Muslim 106 4 Private Other 2716 5 Community 305 9 Community 49 15 Not Stated 0 School session past 2 weeks 19931 39195 1 14 9.718 1.743 Days attended school past 2 weeks 19634 39492 1 14 9.307 2.103 filter question for c08 7 c10 58895 231 1 2 1 yes' 25068 2 no 33827 Temporary out of school 2 weeks consecutivey 25046 34080 1 2 1 yes' 2460 2 no 22586 Reason 2344 56782 1 11 0 Still too young 0 1 No money 929 2 Poor Schools 74 3 Own illness/Disability 829 4 Family illness/Disability 36 5 Not interested 140 6 Parents did not let me 15 7 Working to help at home 44 9 School too far 10 10 School conflict with beliefs 13 11 Other 251 15 Not Stated 0 Tuition 25221 33905 0 900000 3202.954 19904.33 Books and other materials 25223 33903 0 320000 331.633 2633.33 Uniform 25237 33889 0 60000 416.693 1036.339 Boarding 25196 33930 0 240000 353.2 3298.128 Transport 25198 33928 0 240000 258.896 2919.448 School maintenance 25200 33926 0 15000 75.244 480.653 Extra tuition 25206 33920 0 54000 128.6 818.704 Examination 25211 33915 0 700000 183.972 4506.941 PTA 25194 33932 0 50000 57.574 500.491 Pocket 25215 33911 0 300000 378.021 3695.953 Other 25214 33912 0 600000 590.015 6482.916 Total 25243 33883 0 1802000 7566.836 34249.532 Contribution on school from outside hhld 25268 33858 0 20 1 yes' 1868 2 no 23097 Value of assistance past 12 months (kshs) 25168 33958 0 7700000 1893.436 70384.377 Received scholarship 24958 34168 1 2 1 yes' 413 2 no 24545 Value of scholarship past 12 months (kshs) 419 58707 1 2000000 25536.088 115156.463 Read in any language 58954 172 1 9 1 can not read at all 16185 2 can read part of the sentense 8120 3 can read whole sentense 34187 4 no sentense is required 403 Write in any language 58875 251 1 2 1 yes' 40987 2 no 17888 cluster 66677 0 1 1339 663.309 393.812 hhld serial number 1 - 10? 66677 0 1 10 5.428 2.86 modue ID code 66677 0 1 29 3.809 2.575 hhld member ID reporting 64897 1780 0 22 1.771 1.201 sick or injured 4 weeks ago 64898 1779 1 9 1 yes 17403 2 no 47472 9 Not Stated 23 sickness/injury work related 17424 49253 1 9 1 yes 875 2 no 14819 9 Not Stated 1730 sort of sickness/injury - 1 17395 49282 1 30 1 fever, malaria 7401 2 diarrhea 506 3 stomach ache 912 4 vomiting 113 5 upper respiratory(sinuses) 238 6 lower respiratory (chest, lungs) 837 7 flu 2428 8 asthma 198 9 headache 1002 10 skin problem 233 11 dental problem 250 12 eye problem 275 13 ear/nose/throat 218 14 backache 366 15 heart problem 52 16 blood pressure 100 17 pain when passing urine 11 18 diabetes 45 19 mental disorder 55 20 tb 47 21 sexually transmitted disease 7 22 burn 29 23 fracture 124 24 wound 369 25 poisoning 3 26 pregnancy related 62 27 unspecified long-term illness 130 28 hiv/aids 11 29 typhoid 183 30 other 1190 sort of sickness/injury - 2 3589 63088 1 30 1 fever, malaria 434 2 diarrhea 167 3 stomach ache 326 4 vomiting 156 5 upper respiratory(sinuses) 67 6 lower respiratory (chest, lungs) 314 7 flu 509 8 asthma 26 9 headache 511 10 skin problem 58 11 dental problem 36 12 eye problem 96 13 ear/nose/throat 63 14 backache 136 15 heart problem 16 16 blood pressure 24 17 pain when passing urine 3 18 diabetes 10 19 mental disorder 2 20 tb 6 21 sexually transmitted disease 0 22 burn 8 23 fracture 7 24 wound 58 25 poisoning 0 26 pregnancy related 7 27 unspecified long-term illness 29 28 hiv/aids 3 29 typhoid 116 30 other 401 who diagnosed 17426 49251 1 9 1 medical worker at hospital 4113 2 medical worker at other facility 3930 3 traditional healer 46 4 non-hh member (not medical) 92 5 hh member 2817 6 self 6281 7 herbalist 66 8 faith healer 8 9 others 73 days missed work/school 17424 49253 0 99 99 n/a 3122 consult health provider 17426 49251 0 2 1 yes 12190 2 no 5204 kind of health provider - 1 12166 54511 1 13 1 referal hospital 239 2 district/provincial/hospital 2047 3 public dispensary 2414 4 public health center 1638 5 private dispensary/ hospital 1290 6 private clinic 1219 7 traditional healer 27 8 missionary hosp./disp 445 9 pharmacy/chemist 1571 10 kiosk 1039 11 faith healer 15 12 herbalist 151 13 other 71 kind of health provider - 2 1321 65356 1 13 1 referal hospital 60 2 district/provincial/hospital 217 3 public dispensary 256 4 public health center 172 5 private dispensary/ hospital 145 6 private clinic 110 7 traditional healer 8 8 missionary hosp./disp 46 9 pharmacy/chemist 129 10 kiosk 119 11 faith healer 7 12 herbalist 38 13 other 14 how many times 12222 54455 0 99 2.203 4.806 other reason for health provider 64902 1775 0 2 1 yes 1620 2 no 63261 other kind of health provider - 1 1604 65073 1 13 1 referal hospital 47 2 district/provincial/hospital 487 3 public dispensary 319 4 public health center 245 5 private dispensary/ hospital 155 6 private clinic 175 7 traditional healer 2 8 missionary hosp./disp 75 9 pharmacy/chemist 43 10 kiosk 32 11 faith healer 2 12 herbalist 11 13 other 11 other kind of health provider - 2 89 66588 1 13 1 referal hospital 8 2 district/provincial/hospital 39 3 public dispensary 3 4 public health center 7 5 private dispensary/ hospital 1 6 private clinic 6 7 traditional healer 0 8 missionary hosp./disp 6 9 pharmacy/chemist 11 10 kiosk 6 11 faith healer 0 12 herbalist 1 13 other 1 hospitallized 12 mons ago 64902 1775 0 2 1 yes 2272 2 no 62608 borrow money to pay health provider 2294 64383 0 2 1 yes 900 2 no 1372 sell assets to pay health provider 2294 64383 0 2 1 yes 688 2 no 1584 overnite at a traditional healer 64902 1775 0 2 1 yes 313 2 no 64569 borrow money to pay traditional healer 333 66344 0 2 1 yes 86 2 no 227 sell assets to pay traditional healer 333 66344 0 2 1 yes 86 2 no 227 physically handicapped 64902 1775 0 2 1 yes 777 2 no 64106 handicap work related 796 65881 0 2 1 yes 66 2 no 711 compensated for handicap 85 66592 0 2 1 yes 9 2 no 57 type of compensation 28 66649 0 4 1 workman compensation 5 2 own insurance cover 2 3 other compensation 0 4 employer arrangement 2 amount compensated 28 66649 0 75000 11214.286 22725.996 how handicapped - 1 796 65881 0 9 1 missing hand 17 2 missing foot 17 3 lame 190 4 blind 57 5 deaf 50 6 unable to speak (dumb) 32 7 mentally disabled 109 8 paralysis 75 9 other 229 how handicapped - 2 739 65938 0 9 1 missing hand 2 2 missing foot 1 3 lame 9 4 blind 4 5 deaf 7 6 unable to speak (dumb) 27 7 mentally disabled 14 8 paralysis 9 9 other 14 how handicapped - 3 736 65941 0 7 1 missing hand 0 2 missing foot 4 3 lame 4 4 blind 0 5 deaf 1 6 unable to speak (dumb) 4 7 mentally disabled 3 8 paralysis 0 9 other 0 easy to sweep floor 64892 1785 1 9 1 easily 54439 2 with difficulty 3415 3 not at all 1473 9 Not Stated 5565 easy to walk 2 km 64892 1785 1 9 1 easily 54013 2 with difficulty 3795 3 not at all 1517 9 Not Sated 5567 cronic illness 64892 1785 0 2 1 yes 4262 2 no 60606 type of chronic - 1 4261 62416 1 98 1 chronic malaria/fever 329 2 tuberculosis 138 3 hiv/aids 24 4 stds 7 5 diabetes 182 6 asthma 573 7 bilharzia/schistosomiasis 16 8 arthritis/rheumatism 176 9 nerve disorder 101 10 stomach disorder 409 11 sores that do not heal 83 12 cancer. 38 13 pneumonia 244 14 high blood pressure 302 15 other 1471 98 do not know 168 type of chronic - 2 301 66376 1 98 1 chronic malaria/fever 25 2 tuberculosis 16 3 hiv/aids 3 4 stds 2 5 diabetes 14 6 asthma 8 7 bilharzia/schistosomiasis 0 8 arthritis/rheumatism 16 9 nerve disorder 15 10 stomach disorder 22 11 sores that do not heal 4 12 cancer. 2 13 pneumonia 15 14 high blood pressure 48 15 other 101 98 do not know 10 yy suffered from chronic 4062 62615 1 98 98 do not know 104 99 not stated 0 mm suffered from chronic 1203 65474 1 99 98 do not know 87 99 not stated 27 who diagnosed chronic 4285 62392 0 9 1 medical worker at hospital 2655 2 medical worker at other facility 861 3 traditional healer 43 4 non-hh member (not medical) 26 5 hh member 129 6 self 467 7 herbalist 59 8 faith healer 10 9 others 8 sleep under bed net last night 64895 1782 0 2 1 yes 20107 2 no 44759 bed net treated past 6 mons 20143 46534 0 8 1 yes 13700 2 no 6318 3 dk 4 53311 0 1 1339 665.708 394.504 Serialised HH number 53311 0 1 10 5.419 2.861 HH member number 53311 0 1 27 3.736 2.555 filter question 18115 35196 0 2 1 females < 12 years 0 2 females >= 12 years 18109 ever given birth 18115 35196 0 2 1 yes 10006 2 no 8088 male children born alive 18115 35196 0 22 1.052 1.52 female children born alive 18115 35196 0 77 1.05 1.656 male children born alive in hhld 18115 35196 0 32 0.828 1.275 female children born alive in hhld 18115 35196 0 20 0.781 1.211 male children born alive elsewhere 18115 35196 0 20 0.141 0.559 female children born alive elsewhere 18115 35196 0 22 0.178 0.622 male children born alive & died 10006 43305 0 9 0.197 0.567 female children born alive & died 10007 43304 0 90 0.185 1.059 mm of last born 9989 43322 1 99 12.086 22.521 yy of last born 9985 43326 1944 2006 2000.411 5.317 sex of last born 9985 43326 1 6 1 male 5151 2 female 4700 3 male twins 39 4 female twins 34 5 multiple births 3 6 male-female twin 58 child still alive 9984 43327 1 4 1 yes 9608 2 no 356 3 one of the twins 14 4 two of the multiple births 6 5 one of the multiple births 0 8 dont know 0 12986 0 1 1339 668.054 385.375 hhld serial number 1 - 10? 12986 0 1 10 5.449 2.863 modue ID code 12986 0 1 13 1.02 0.224 12986 0 1 2 1.904 0.294 1244 11742 0 2 1.423 0.499 1244 11742 0 99 37.278 33.91 1244 11742 0 99 6.191 21.711 1244 11742 0 17 9.102 6.35 1244 11742 0 3 1.494 0.578 12986 0 1 1 1 0 Serialized Cluster Number 62256 0 1 1339 660.986 393.728 hhld serial number 1 - 10? 62256 0 1 10 5.422 2.859 modue ID code 62256 0 1 28 3.723 2.546 filter question 61799 457 1 2 1 < 5 years 7077 2 >= 5 years 54722 Mainly doing 7 days ago 54689 7567 1 99 1 worked for pay 6679 2 on leave 175 3 sick leave 68 4 worked on own/family business 4110 5 worked on own/family agri.holding 10296 6 seeking work 1145 7 doing nothing 5878 8 retired 324 9 homemaker 5212 10 full-time student 20010 11 in capacitated 341 12 other 450 Employment Status 22269 39987 1 9 1 Paid Employee 6593 2 Working Employer 483 3 Own account worker 7819 4 Unpaid Family Worker 6541 5 Apprentice 73 6 Other 247 9 Not Stated 513 Hours employed 7 days ago 21821 40435 0 112 16.962 26.002 Hours worked on hhld farm 7 days ago 21821 40435 0 112 17.561 20.381 Hours worked on hhld enterprise 7 days ago 21821 40435 0 112 7.661 19.348 filter question 21740 40516 1 2 1 yes 21298 2 no 442 Activity to return to 12992 49264 1 2 1 yes 2569 2 no 10423 Reason for not working last 7 days 10421 51835 1 10 1 sick 612 2 retired 228 3 looking for work 2576 4 out of season 523 5 retrenchment/redundancy 55 6 temporary lay off 142 7 dont need work 1128 8 business closed 155 9 too young/too old 2776 10 others 2226 Whether looked for work 10419 51837 1 2 1 yes 2489 2 no 7930 Whether willing to acept job 10416 51840 1 2 1 yes 5026 2 no 5390 Number of icome activities 21787 40469 1 99 1 yes 19841 2 no 1869 Whether employed 12 months ago 30766 31490 1 2 1 yes 408 2 no 30358 KNOCS codes 24082 38174 1 934 0 armed forces 0 1 armed forces 8 11 armed forces 38 100 legislators, administrators and managers 0 110 legislators and constitutional officials 0 111 legislative and constitutional officials 5 112 local authority officials 26 120 administrators and senior officials of special interest orga 0 121 government administrators 47 122 senior officials of special interest organizations 10 130 corporate managers 0 131 directors and chief executives 65 132 specialized departmental managers 32 133 133 other departmental managers 24 140 non-departmental managers 3 141 non-departmental managers 113 150 other administrators and managers 0 151 other administrators and managers 78 200 professionals 0 210 physical science professionals 0 211 physicists and related professionals 0 212 chemists 5 220 mathematicians, statisticians and computing professionals 0 221 mathematicians and related professionals 3 222 statisticians 1 223 computing professionals 16 230 engineering science professionals 0 231 architects and town planners 9 232 surveyors and cartographers 11 233 civil engineers 6 234 mechanical engineers 8 235 chemical engineers and technologists 0 236 mining engineers, metallurgists and related technologists 0 237 electrical, electronics and telecommunications engineers 11 238 production and related engineers 5 240 health and life science professionals 0 241 health professionals 33 242 nursing and mid-wifely professionals 48 243 life science professionals 2 244 agriculturalists and related professionals 16 250 teaching professionals 4 251 university and post-secondary teachers/lecturers 23 252 secondary and technical institute teachers and instructors 143 253 special education teaching professionals 12 254 education methods advisers and assessors 11 259 other teaching professionals 99 260 legal professionals 0 261 lawyers 15 262 jurists/judges 1 270 social science and related professionals 0 271 economists 0 272 psychologists 0 273 sociologists, anthropologists and related professionals 3 274 historians and political scientists 2 275 philologists, translators and interpreters 1 279 other social science and related professionals 22 280 business professionals 0 281 accountants, auditors and tax assessors 98 282 personnel and occupational professionals 9 289 other business professionals 56 290 other professionals 0 291 archivists, librarians, and related professionals 5 292 religious professionals 36 293 authors, journalists and related professionals 5 294 sculptors, painters and related professionals 9 295 composers, musicians and singers 2 296 choreographers 1 300 technicians and associate professionals 0 310 engineering technicians 0 311 technical draughts-men 4 312 civil engineering and related technicians 7 313 mechanical engineering and related technicians 52 314 mining and metallurgical technicians 3 315 electrical engineering technicians 49 316 electronics and telecommunications engineering technicians 28 317 chemical engineering technicians 5 318 photographers, image and sound recording equipment controlle 6 319 broadcasting and telecommunications equipment controllers 5 320 medical and health science associate professionals 2 321 auxiliary nurses 25 322 medical/clinical officers 22 323 sanitarians 4 324 optometrists and opticians 1 325 dental technicians 2 326 physiotherapists and related associate professionals 1 327 veterinary officers 17 328 pharmaceutical officers 17 329 other associate medical, nursing and nutrition workers 42 330 physical and life science technicians 0 331 physical science technicians 5 332 life science technicians 5 333 agronomy and forestry technicians 4 334 farming and forestry advisors 7 340 farming advisors 0 341 ships engineer 0 342 ships deck officers and pilots 0 343 aircraft pilots and related workers 2 344 air traffic controller 0 350 business and social services associate professionals 1 351 securities and finance dealers 2 352 insurance brokers and agents 13 353 real estate agents 14 354 business service agents 36 355 buyers, appraisers auctioneers 27 360 administration and middle level personnel 1 361 police inspectors, detectives, customs and border officials 70 362 government tax and excise officials 2 363 welfare and pension officials 4 364 government licensing officials 4 365 business and public service middle level personnel 10 366 statistical and planning officials 2 367 fisheries, wildlife and tourist officials 6 368 lands, agricultural and livestock officials 19 369 other middle level personnel 33 370 primary and pre-primary education and other teachers 0 371 primary education teachers 397 372 pre-primary education teachers 66 373 other teachers and instructors 36 390 other business, social services, athletics, sports and relat 1 391 non-ordained religion assistants 15 392 social advisers and helpers 12 393 athletes, sportsmen and related workers 10 394 decorators and other commercial workers 3 395 radio, television and other announcers 1 396 street, nightclub and related musicians 2 397 acrobats, clowns, magicians and related workers 3 398 safety, health and quality inspector /controllers 6 399 mechanical, electrical, building and fire inspectors 7 400 secretarial, clerical services and related workers 0 410 secretaries and office clerks 0 411 secretaries stenographers and typists 141 412 office machine operators 17 413 numerical clerks 27 414 material recording and transport clerks 24 415 library, mail and related clerks 13 416 coding, proofreading and related clerks 6 417 general office clerks 79 420 client oriented clerks 1 421 cashiers, tellers and related clerks 20 422 information clerks 16 423 other client oriented clerks 28 500 service workers, shop and market sales workers 0 510 models, shop assistants and demonstrators 82 511 fashion and other models 14 512 shop assistants and demonstrators 442 520 personal and protective service workers 0 521 hairdressers, barbers, beauticians and related workers 167 522 undertakers and embalmers 1 523 fortune tellers, astrologers and related workers 13 524 protective service workers 69 530 house stewards, caterers, waiters and related workers 8 531 house stewards and housekeepers 153 532 cooks and other catering service workers 281 533 waiters bartenders 143 540 travel attendants and guides 0 541 ship and flight attendants and travel stewards 2 542 transport conductors 83 543 travel guides and ground attendants 13 600 skilled farm, fishery, wildlife and related workers 1 611 field crop, vegetable and horticultural farm workers 693 612 poultry, dairy and livestock producers 936 613 crop and animal producers 5095 620 fishery and related workers 0 621 fishery workers 59 630 subsistence agricultural and fishery workers 16 631 subsistence agricultural and fishery workers 4899 640 forestry and related workers 2 641 forestry and related workers 139 650 hunting and wildlife workers 0 651 hunting and wildlife workers 1 700 craft and related trades workers 0 710 extraction and building trades workers 1 711 mining, blasting, stone cutting and related workers 70 712 building trades workers 96 720 metal, machinery and related trades workers 0 721 metal molders, welders, structural-metal preparers and relat 76 722 blacksmiths, toolmakers and related trades workers 16 723 machinery mechanics and fitters 78 724 electrical equipment fitters and installers 8 725 electrical equipment fitters and services 10 726 electrical linesmen and cable jointers 4 727 solar equipment fitters and installers 0 730 precision and handicraft workers 1 731 precision workers in metal and related materials 6 732 potters, glassmakers and related trades workers 11 733 handicraft workers 67 740 printing and related trades workers 1 741 compositors and typesetters 5 742 stereotypers and electrotypers 0 743 printing engravers and etchers 3 744 photographic and related workers 16 745 bookbinders and related workers 9 746 silk-screen, block and textile printers 0 750 food processing and related trades 0 751 butchers, fishmongers and related food preparers 166 752 bakers, pastry-cooks and confectionery makers 37 753 dairy products makers 7 754 fruit, nut and related preservers 23 755 tobacco preparers and tobacco products makers 15 756 food and beverage tasters 6 757 brewers, distillers and related workers 58 758 other food processing and related workers 87 760 woodworking trades workers 2 761 wood treating, cabinetmaking and related trades workers 106 762 woodworking-machine setters and setter-operators 13 770 textile, garment and related trades 2 771 fibre prepapers 8 772 weavers, knitters and related workers 45 773 tailors, dressmakers and related workers 275 780 upholsterers, pelt, leather and shoemaking trades workers 0 781 upholsters 3 782 fell mongers, tanners and pelt dressers 1 783 shoe-making and related trades workers 25 800 plant and machine operators and assemblers 0 810 farm workers (except fish) 0 811 well drillers and borers 5 812 mining plant operators 0 813 stone, clay, cement and other mineral products machine opera 5 820 metal processing plant and metal working machine operators 0 821 metal smelting, converting and refining furnace operators 1 822 metal melters, casters and rolling mill operators 4 823 metal heat-treating plant operators, metal drawers and extru 0 824 machine -tool and other metal-working machine operators 11 825 metal finishing, plating and coating machine operators 2 830 wood processing plant and wood, rubbers and plastic machine 0 831 wood processing and paper pulp plant operators 4 832 wood products machine operators 22 833 printing and binding machine operators 0 834 paper products machine operators 4 835 rubber and plastic rubber machine operators 9 840 chemical-processing plant and chemical products machine oper 0 841 chemical crushing, grinding and mixing machine operators 5 842 chemical heat-treating and plant operators 1 843 filtering and separation equipment operators 0 844 chemical still and reactor operators 0 845 petroleum refining plant operators 0 846 pharmaceutical and toiletry products machine operators 1 849 other chemical processing plant and machinery operators 2 850 power production plant operators 0 851 power generating plant operators 2 852 steam turbine boiler and engine operators 5 860 food and related products machine operators 0 861 meat and fish processing machine operators 1 862 dairy products and machine operators 1 863 grain and spice-milling machine operators 36 864 baked goods, cereal and chocolate products machine operators 5 865 fruit, vegetable and nut processing machine operators 3 866 sugar production machine operators 4 867 tea, coffee and cocoa processing machine operators 5 868 brewers, wine and other beverage machine operators 2 869 tobacco production machine operators 0 870 assemblers 0 871 mechanical machinery assemblers 20 872 electrical and electronic machinery assemblers 7 873 metal products assemblers 8 874 plastic and rubber products assemblers 5 875 wood, paperboard and related products assemblers 31 876 textile and leather products assemblers 3 880 drivers and mobile machinery operators 5 881 railway engine drivers and related workers 2 882 motor vehicle drivers 267 883 agricultural and materials-handling machinery operators 10 884 ships deck crews and related workers 5 890 other plant and machine operators and assemblers 0 891 glass and ceramics kiln and related plant operators 1 892 textile preparing, spinning and winding machine operators 7 893 weaving, knitting and sewing machine operators 24 894 textile bleaching, dyeing and cleaning machine operators 3 895 fur and leather preparing machine operators 0 896 shoemaking and related machine operators 3 899 plant and machine operators and assemblers not elsewhere cla 21 900 elementary occupations 0 910 sales and services elementary occupations 24 911 street vendors and related workers 1014 912 shoe cleaning and other street services elementary occupatio 59 913 cleaners, launderers and domestic workers 715 914 building caretakers 32 915 messengers, porters, watchmen and related workers 311 916 other sales and service labourers 1071 920 agricultural, fishery and related labourers 3 921 farm- hands and related labourers 2146 922 forestry labourers 25 923 fishery, hunting and trapping laboures 94 930 labourers in mining, construction, manufacturing and transpo 2 931 mining and quarrying labourers 119 932 construction and maintenance labourers 349 933 manufacturing labourers 46 934 transport labourers and freight handlers 171 ISIC REV 2 codes 23846 38410 1 9600 1111 coffee plantations 33 1112 tea plantations 241 1113 sugar plantations 51 1114 sisal plantations 11 1115 mixed farming 10036 1116 ranches 89 1117 other agricultural activities nec 2324 1119 processing co-operatives of small farms 7 1120 agricultural services 756 1130 hunting, trapping and game propagation 1 1211 forestry 41 1212 charcoal burning 191 1220 logging 28 1301 ocean and coastal fishing 27 1302 inland water fishing 128 2901 stone quarrying, clay and sand pits 92 2902 chemical and fertilizer mineral mining 2 2909 mining and quarrying nec 41 3111 slaughtering, preparing and preserving of meat 16 3112 manufacture of dairy products 4 3113 canning and preserving of fruits and vegetables 7 3114 canning, preserving and processing of fish 5 3115 manufacture of vegetable and animal oils and fats 3 3116 grain mill products 38 3117 manufacture of bakery products 23 3118 sugar factories and refineries 48 3119 7 3121 manufacture of food products nec 42 3122 manufacture of prepared animal feeds 3 3131 spirits, beer and tobacco 37 3134 soft drinks and carbonated waters industries 5 3210 cotton ginneries 1 3211 spinning, weaving and finishing textiles 70 3212 manufacture of made-up textile goods except wearing appar 14 3213 knitting mills 2 3215 cordage, rope and twine industries 21 3219 manufacture of textiles nec 31 3220 manufacture of wearing apparel, except footwear 45 3231 tanneries and leather finishing 1 3233 manufacture of products of leather, except footwear and w 0 3240 manufacture of footwear, except plastic footwear 11 3311 sawmills, planing and other woodmills 14 3312 manufacture of wooden and cane containers 6 3319 manufacture of wood and cork products nec 28 3320 manufacture of furniture and fixtures, except primarily o 98 3411 manufacture of pulp, paper and paperboard 16 3419 manufacture of pulp, paper and paperboard articles nec 2 3420 printing, publishing and allied industries 12 3511 0 3512 pyrethrum extraction 0 3521 manufacture of paints, varnishes and lacquers 2 3522 manufacture of drugs and medicines 4 3523 4 3529 manufacture of chemical products nec 4 3530 petroleum refineries 0 3550 manufacture of rubber products 13 3560 manufacture of plastic products 13 3610 manufacture of pottery, china and earthenware 7 3620 manufacture of glass and glass products 2 3691 manufacture of structural clay products 9 3692 manufacture of cement, lime and plaster 0 3699 manufacture of non-metallic mineral products nec 4 3700 basic metal industries 10 3811 manufacture of cutlery, hand tools and general hardware 4 3812 manufacture of furniture and fixtures, primarily of metal 13 3813 manufacture of structural metal products 19 3819 manufacture of fabricated metal products, except machiner 6 3820 manufacture of machinery except electrical 0 3830 manufacture of electrical machinery and appliances 3 3841 ship building and repairing 2 3842 manufacture of railroad equipment 0 3843 manufacture and assembly of motor vehicles 8 3844 manufacture and assembly of motorcycles and bicycles 1 3845 manufacture and repair of aircraft 0 3850 manufacture of professional and scientific equipment phot 0 3900 other manufacturing industries 26 4101 electric light and power 37 4200 water works and supply 25 5101 electrical contractors 18 5102 plumbers 22 5103 structural steel erectors 5 5104 painters, roof-tilers and minor repairs 28 5105 borehole drilling 4 5201 construction of buildings 382 5202 all other construction 103 6001 motor vehicles 16 6002 non-electric machinery and appliances 8 6003 electrical machinery and appliances 20 6110 food, drink and tobacco 56 6111 agricultural produce 152 6112 oil and petrol 10 6113 textiles, soft furnishings, clothing and shoes 77 6114 building materials, hardware and timber 19 6115 domestic hardware 3 6116 photographic and pharmaceutical goods 16 6117 engineering products, scrap, industrial and agricultural 23 6118 general wholesale 74 6119 wholesale nec 35 6211 food, drink and tobacco 657 6212 butcheries 100 6213 oil and petrol 24 6214 textiles, soft furnishings, clothing and shoes 400 6215 building materials, timber, and domestic hardware 54 6216 photographic and pharmaceutical goods 18 6217 general retail trade 544 6218 retail nec 785 6310 restaurants, cafes and other eating and drinking places 385 6320 hotels, rooming houses, camps and other lodging places 113 7110 kr central administration 3 7111 railway transport 5 7112 urban, sub-urban and inter-urban highway passenger transp 147 7113 other passenger land transport 208 7114 freight transport by road 65 7115 pipeline transport 10 7116 supporting services to land transport 111 7121 ocean and coastal water transport 8 7122 inland water transport 3 7123 supporting services to water transport 11 7131 air transport carriers including aircraft rental 5 7132 supporting services to air transport 5 7190 booking and travel agencies 10 7191 services incidental to transport nec 57 7192 storage and warehousing 13 7200 communications 95 7201 kp & t administrative services 13 8101 monetary institutions 14 8102 other financial institutions, except holding companies 8 8103 financial services 25 8104 holding companies 0 8201 insurance companies 13 8202 other insurance 6 8311 property companies 10 8312 house and estate agents 19 8321 legal services 20 8322 accounting, auditing and book-keeping services 58 8323 data processing and tabulating services 26 8324 engineering, architectural and technical services 26 8325 advertising services 11 8329 69 8330 machinery and equipment rental and leasing 2 9101 government services 190 9102 law and order 143 9103 defence 52 9104 other public administration 69 9310 education services 910 9320 research and scientific institutes 30 9331 medical, dental and other health services 208 9332 veterinary services 23 9340 welfare institutions 25 9350 business, professional and labour associations 39 9391 religious organisatons 78 9399 social and related community services nec 143 9410 motion pictures and other entertainment services 24 9420 libraries, museums, botanical and zoological gardens and 13 9490 pleasure boat hire 0 9491 other amusement and recreational services nec 28 9511 repair of footwear and other leather goods 32 9512 electrical repair shops 37 9513 repair of motor vehicles and motorcycles 98 9514 watch, clock and jewellry repair 5 9519 other repair shops nec 69 9520 laundries, laundry services and cleaning and dyeing plant 62 9530 domestic services 1006 9591 barber and beauty shops 166 9592 photographic studios including commercial photography 15 9593 hunting and tourist guide services 14 9599 personal services nec 188 9600 international and other extra-territorial bodies 21 Employment Status 24821 37435 1 15 1 Private sector Company 1315 2 Individual 5990 3 Local Authority 223 4 Central Government 619 5 T.S.C 445 6 Majority Control by GOK 95 7 International Orgs 59 8 State owned Enterprise 161 9 NGOs 116 10 Other 15236 15 Not Stated 562 Completed months worked 12 months ago 24373 37883 0 12 9.456 3.606 Hours per day worked 24373 37883 0 18 6.867 2.835 Payment for wages/salary 24373 37883 0 600000 3290.755 16064.191 House allowance 24373 37883 0 100000 342.645 2381.858 Medical allowance 24373 37883 0 290000 143.784 2696.385 Other allowances 24373 37883 0 200000 254.318 3510.253 Engage in casual labour 30357 31899 1 2 1 yes 1143 2 no 29214 Total days in casual labour 1144 61112 0 90 25.079 24.548 Average daily allowance 1144 61112 0 27000 478.857 1616.179 Whether a member of trade union or welfare association 25374 36882 1 2 1 yes 1766 2 no 23608 District of work 25239 37017 1 941 101 nairobi 1268 201 kiambu 399 202 kirinyaga 368 203 muranga 325 204 nyandarua 470 205 nyeri 548 206 thika 426 207 maragua 323 301 kilifi 276 302 kwale 366 303 lamu 232 304 mombasa 412 305 taita taveta 266 306 tana river 287 307 malindi 346 401 embu 380 402 isiolo 324 403 kitui 393 404 makueni 471 405 machakos 468 406 marsabit 148 407 mbeere 385 408 meru central 159 409 moyale 279 410 mwingi 428 411 meru north 221 412 tharaka 365 413 nithi 357 501 garissa 150 502 mandera 127 503 wajir 154 601 gucha 322 602 homa bay 275 603 kisii central 307 604 kisumu 361 605 kuria 305 606 migori 320 607 north kisii 376 608 rachuonyo 301 609 siaya 348 610 suba 257 611 bondo 312 612 nyando 289 701 baringo 422 702 bomet 335 703 keiyo 302 704 kajiado 313 705 kericho 345 706 koibatek 315 707 laikipia 294 708 marakwet 246 709 nakuru 599 710 nandi 401 711 narok 328 712 samburu 130 713 trans mara 334 714 trans nzoia 409 715 turkana 2 716 uasin gishu 408 717 west pokot 378 718 buret 416 801 bungoma 556 802 busia 306 803 mt elgon 429 804 kakamega 351 805 lugari 380 806 teso 317 807 vihiga 383 808 butere/mumias 343 Travel to and from work 25348 36908 1 8 1 walk 20716 2 bicycle 950 3 matatu 1307 4 bus 36 5 commuter train 23 6 employer provided 180 7 private vehicle 413 8 other 1723 Minutes taken to travel - peak 25517 36739 0 240 18.457 29.086 Minutes taken to travel - off peak 25517 36739 0 240 17.479 28.088 Total domestic servants 54731 7525 0 35 0.0287 0.285 Cluster weight 62256 0 11.1 3922.6 533.904 442.579 51485 0 1 1339 666.275 394.626 hhld serial number 1 - 10 51485 0 1 10 5.415 2.858 modue ID code 51485 0 1 29 3.864 2.596 filter question 50894 591 0 2 1 > 60 months 41313 2 <= 60 months 9565 where delivered 9490 41995 0 9 1 hospital 2856 2 health centre 631 3 clinic/ dispensary 246 4 147 5 at home 5464 6 other 101 who assisted 9464 42021 0 7 1 doctor 1009 2 midwife/nurse 2865 3 tba 3078 4 ttba 1079 5 self 642 6 other 727 7 dk 48 ever breastfed 9461 42024 0 8 1 yes 9380 2 no 50 8 DK 15 still breast-feeding 9393 42092 0 2 1 yes 3338 2 no 6039 how long breastfed 9079 42406 0 99 98 DK 97 total months exclusively breastfed 8120 43365 0 99 3.753 6.262 what first supplement 9453 42032 0 8 1 milk other than breast 3170 2 commercial infant 234 3 food/formula 2936 4 porridge 760 5 fortified porridge 613 6 semi-solids 1148 7 water 202 8 other 374 participated in community programs 9451 42034 0 2 1 yes 1407 2 no 8028 participated in the growth monitoring clinic 9454 42031 0 2 1 yes 8285 2 no 1153 had diarrhoea 2 weeks ago 9454 42031 0 2 1 yes 1094 2 no 8344 type of fluid/food - 1 1117 50368 0 5 1 nothing 330 2 commercial infant/food/formula/yogurt 73 3 other semi-solid food 526 4 fruits 92 5 other 80 type of fluid/food - 2 1113 50372 0 6 1 nothing 96 2 breastmilk 126 3 porridge (uji) 491 4 water alone 149 5 milk other than/breastmilk 165 6 other 70 quantity of food given vs normal times 1101 50384 0 5 1 much less 355 2 somewhat less 216 3 about the same 360 4 more 96 5 dk 58 quantity of fluid given vs normal times 1100 50385 0 5 1 much less 195 2 somewhat less 212 3 about the same 346 4 more 305 5 dk 26 given ORS/ORT 1108 50377 0 2 1 yes 492 2 no 600 vaccination card 9449 42036 0 3 1 yes, seen 5156 2 yes, not seen 3404 3 no 873 date of BCG 5066 46419 0 98 16.075 9.387 month of BCG 5016 46469 0 98 6.455 4.284 year of BCG 5063 46422 0 9998 2074.158 791.431 date of OVP (POLIO-B) 4290 47195 0 98 18.043 13.616 month of OVP (POLIO-B) 4057 47428 0 98 7.498 10.371 year of OVP (POLIO-B) 4472 47013 0 9998 2705.616 2279.544 date of OVP1 (POLIO-1) 4928 46557 0 98 16.007 10.066 month of OVP1 (POLIO-1) 4857 46628 0 98 6.724 5.363 year of OVP1 (POLIO-1) 4955 46530 0 9998 2154.797 1119.99 date of OVP2 (POLIO-2) 4705 46780 0 98 16.432 10.861 month of OVP2 (POLIO-2) 4590 46895 0 98 6.812 6.404 year of OVP2 (POLIO-2) 4788 46697 0 9998 2310.42 1558.595 date of OVP3 (POLIO-3) 4324 47161 0 98 17.297 12.521 month of OVP3 (POLIO-3) 4131 47354 0 98 7.268 9.061 year of OVP3 (POLIO-3) 4487 46998 0 9998 2621.52 2152.436 date of DPT1 or DPT/HepB/Hib1 4863 46622 0 98 16.205 10.341 month of DPT1 or DPT/HepB/Hib1 4776 46709 0 98 6.807 6.012 year of DPT1 or DPT/HepB/Hib1 4903 46582 0 9998 2203.667 1276.264 date of DPT2 or DPT/HepB/Hib2 4716 46769 0 98 16.367 10.748 month of DPT2 or DPT/HepB/Hib2 4615 46870 0 98 6.841 6.796 year of DPT2 or DPT/HepB/Hib2 4800 46685 0 9998 2301.32 1536.823 date of DPT3 or DPT/HepB/Hib3 4419 47066 0 98 16.898 12.069 month of DPT3 or DPT/HepB/Hib3 4270 47215 0 98 7.136 8.72 year of DPT3 or DPT/HepB/Hib3 4599 46886 0 9998 2561.247 2054.339 date of MEASLES 3731 47754 0 98 19.399 15.62 month of MEASLES 3419 48066 0 98 8.089 13.078 year of MEASLES 4097 47388 0 9998 3297.166 2957.913 vaccination to prevent childhood diseases 4302 47183 0 8 1 yes 3665 2 no 558 3 DK 8 BCG vaccine against TB 3680 47805 0 8 1 yes 3527 2 no 110 8 DK 27 vaccination drops in mouth 3678 47807 0 8 1 yes 3575 2 no 75 3 DK 0 age POLIO dose given 3589 47896 0 8 1 less than six weeks 2740 2 six weeks or more 719 8 DK 114 times POLIO drops given 3516 47969 0 98 2.9 3.028 vaccination on thigh 3675 47810 0 8 1 yes 3414 2 no 226 3 DK 0 times DPT doses given 3419 48066 0 98 2.747 2.494 vaccination on upper arm 3675 47810 0 8 1 yes 3116 2 no 497 8 DK 46 BCG scar 9401 42084 0 2 1 yes 8033 2 no 1352 filter question 9415 42070 0 2 1 less than 6 months 760 2 more than 6 months 8639 weight in kgs 7871 43614 0 99.6 12.525 6.757 height/length 8213 43272 0 2 1 standing 6926 2 lying down 1271 height < 100 cm 7825 43660 0 989 87.604 42.669 why not measured 707 50778 0 4 1 not home during survey period 457 2 too ill 42 3 unwilling 93 4 other 99 51485 0 11.1 3922.6 543.077 451.194 51485 0 1 1 1 0 13077 0 1 1339 667.676 386.184 hhld serial number 1 - 10 13077 0 1 1319 2 1325 3 1320 4 1317 5 1316 6 1314 7 1320 8 1310 9 1295 10 1241 HH tenure 13026 51 1 owner occupied 7998 2 owner occupied nomads 684 3 employer provided subsidized 101 4 employer provided free 400 5 rented 3443 6 free 400 Sysmiss 51 how HH acquired dwelling 8654 4423 1 372 2 purchased loan 85 3 constructed cash 7118 4 230 5 purchased cash & loan 33 6 constructed cash & loan 129 7 inherited 230 8 gift 282 9 bartered 75 10 100 Sysmiss 4423 HH monthly expenditure on housing loan 118 12959 3 108000 9765.458 17128.914 years HH built 8571 4506 0.1 1521 98 dk 83 if sold, how much worth 8518 4559 1 40000000 268610.366 1824476.488 from whom HH rent 12187 890 1 government 70 2 local authority 64 3 parastatal 32 4 company 75 5 individual 3236 7 na 8649 9 other 61 Sysmiss 890 rent per month 3501 9576 4 150000 2396.552 7718.185 if rented out, how much worth monthly 12786 291 1 6000000 2448.059 53680.245 number of dwelling units 13006 71 1 8206 2 3366 3 940 4 309 5 108 6 29 7 19 8 10 9 2 10 4 11 1 12 2 13 1 16 1 21 1 50 1 200 3 201 1 202 1 281 1 Sysmiss 71 total habitable rooms in main HH 13029 48 1 5178 2 3528 3 2538 4 1127 5 387 6 160 7 51 8 25 9 17 10 7 11 3 12 1 14 2 15 1 17 1 20 1 23 1 30 1 Sysmiss 48 total habitable rooms in other dwellings HH 4157 8920 1 2272 2 1092 3 435 4 195 5 77 6 36 7 13 8 5 9 13 11 5 12 5 13 1 15 2 20 1 21 1 25 1 32 1 41 1 58 1 Sysmiss 8920 total floor area in main HH 12711 366 0.8 80007 37 715.742 total floor area in other dwellings HH 4105 8972 0.6 1451 20.124 32.052 type of dwelling 12989 88 1 house/bungalow 7097 2 flat 468 3 maisonnett 151 4 swahili 1526 5 shanty 518 6 manyatta/traditional hse 2719 7 other 510 Sysmiss 88 walls 12990 87 1 stone 1827 2 brick/block 2207 3 mud/wood 5612 4 mud/cement 814 5 wood only 1241 6 corrugated iron sheet 419 7 grass/straw 572 8 tin 31 9 other 267 Sysmiss 87 roof 12990 87 1 corrugated iron sheet 9190 2 tiles 326 3 concrete 327 4 asbestos sheets 98 5 grass 2198 6 makuti 420 7 tin 43 8 other 388 Sysmiss 87 floor 12989 88 1 cement 5160 2 tiles 158 3 wood 209 4 earth 7425 5 other 37 Sysmiss 88 location of main kitchen 12991 86 1 outdoor 2241 2 enclosed detached 4113 3 enclosed attached 1520 4 indoor without partition 3818 5 indoor with partition 1208 6 other 91 Sysmiss 86 main type of cooking appliance 12989 88 1 traditional stone fire 7528 2 improved traditional stone fire 978 3 ordinary jiko 1303 4 improved jiko 1116 5 kerosene stove 1359 6 gas cooker 522 7 electric cooker 77 8 other 106 Sysmiss 88 kitchen have chimney 12988 89 1 yes 990 2 no 11998 Sysmiss 89 toilet within dwelling unit 12988 89 1 yes 1318 2 no 11670 Sysmiss 89 13077 0 11.1 3922.6 529.533 463.003 Serialised Cluster Number 12997 0 1 1339 666.56 386.036 Serialised HH Number 12997 0 1 1314 2 1320 3 1315 4 1319 5 1300 6 1305 7 1309 8 1301 9 1282 10 1232 main source of water for drinking 12989 8 1 piped into dwelling 1097 2 piped into plot/yard 1780 3 public tap 1339 4 tubewell/borehole with pump 827 5 protected dug well 911 6 protected spring 940 7 rain water collection 497 8 1614 9 river/ponds/streams 2687 10 tankers-truck/vendor 634 11 bottled water 8 12 other 655 Sysmiss 8 main source of water for bathing 12975 22 1 piped into dwelling 1102 2 piped into plot/yard 1782 3 public tap 1133 4 tubewell/borehole with pump 755 5 protected dug well 1113 6 protected spring 772 7 rain water collection 302 8 1771 9 river/ponds/streams 3000 10 tankers-truck/vendor 551 11 bottled water 1 12 other 693 Sysmiss 22 main source of water for cooking 12951 46 1 piped into dwelling 1109 2 piped into plot/yard 1771 3 public tap 1184 4 tubewell/borehole with pump 784 5 protected dug well 1070 6 protected spring 833 7 rain water collection 324 8 1765 9 river/ponds/streams 2847 10 tankers-truck/vendor 567 11 bottled water 2 12 other 695 Sysmiss 46 main source of water for livestock 8012 4985 1 piped into dwelling 237 2 piped into plot/yard 591 3 public tap 318 4 tubewell/borehole with pump 510 5 protected dug well 651 6 protected spring 444 7 rain water collection 162 8 1322 9 river/ponds/streams 2945 10 tankers-truck/vendor 160 11 bottled water 0 12 other 672 Sysmiss 4985 main source of water for other 9373 3624 1 piped into dwelling 810 2 piped into plot/yard 1261 3 public tap 728 4 tubewell/borehole with pump 543 5 protected dug well 762 6 protected spring 566 7 rain water collection 215 8 1351 9 river/ponds/streams 2182 10 tankers-truck/vendor 394 11 bottled water 0 12 other 561 Sysmiss 3624 time taken to get water for drinking 10193 2804 0.1 600 16.648 26.349 time taken to get water for bathing 10147 2850 0.1 445 15.976 24.863 time taken to get water for cooking 10133 2864 0.1 600 16.232 26.099 time taken to get water for livestock 6965 6032 0.2 600 20.196 29.282 time taken to get water for other 7320 5677 0.1 360 15.627 25.064 time taken to qeue to get water 6770 6227 1 720 21.565 44.057 use this source for drinking 12991 6 1 all year 9999 2 only dry season 1975 3 only rainy season 1016 4 1 Sysmiss 6 main source of water other season 2995 10002 1 piped into dwelling 45 2 piped into plot/yard 59 3 public tap 123 4 tubewell/borehole with pump 148 5 protected dug well 99 6 protected spring 91 7 rain water collection 1471 8 216 9 river/ponds/streams 624 10 tankers-truck/vendor 66 11 bottled water 0 12 other 53 Sysmiss 10002 how store water 12991 6 1 do not 404 2 bucket/jerry can 9860 3 drums 1478 4 container 650 5 water tank 599 6 other 0 Sysmiss 6 total cost of water for drinking 2096 10901 1 3600 104.533 193.046 total cost of water for bathing 1550 11447 1 1500 109.24 138.417 total cost of water for cooking 1616 11381 1 4500 100.35 179.403 total cost of water for others 1128 11869 1 2000 101.989 162.316 total cost of water 4497 8500 1 15000 367.456 659.408 cost of 20 litre jercan per month 4423 8574 1 999 116.793 117.017 number of 20 litre jercan per day 12797 200 1 99 4.183 3.839 cost of 1 jerican 7329 5668 1 500 7.066 16.21 HH members use same toilet 12987 10 1 yes 10667 2 no 2320 Sysmiss 10 main toilet facility 12997 0 1 flush toilet 1391 2 vip latrine 853 3 uncovered pit latrine 3937 4 covered pit latrine 4224 5 Bucket 43 6 None 2451 7 Other 98 depth of latrine 9082 3915 1 shallow 3864 2 deep 5218 Sysmiss 3915 who use toilet facility 10468 2529 1 HH members only 4826 2 2 HH 1366 3 3 HH 816 4 4 or more 3460 Sysmiss 2529 who built/paid for latrine 10467 2530 1 household built 5873 2 landlord 3435 3 neighbor 497 4 community program 76 5 local authority 105 6 other 481 Sysmiss 2530 hhld dispose garbage 12989 8 1 collected by local authority 438 2 collected by private firm 496 3 garbage pit 3192 4 burning 2543 5 public garbage heap 1299 6 farm/garden 4589 7 neighbourhood community group 96 8 other 336 Sysmiss 8 main source of cooking fuel - 1 12989 8 1 7126 2 purchased firewood 1268 3 grass 21 4 paraffin 1417 5 electricity 106 6 gas/LPG 542 7 charcoal 2361 8 biomass residue 38 9 biogas 6 10 other 104 Sysmiss 8 main source of cooking fuel - 2 4189 8808 1 370 2 purchased firewood 558 3 grass 12 4 paraffin 1149 5 electricity 85 6 gas/LPG 182 7 charcoal 1739 8 biomass residue 70 9 biogas 7 10 other 17 Sysmiss 8808 main source of lighting fuel - 1 12990 7 1 collected firewood 831 2 purchased firewood 30 3 grass 20 4 paraffin 9547 5 electricity 2124 6 solar 185 7 gas 27 8 dry cell (torch) 176 9 candles 29 10 biogas 0 11 other 21 Sysmiss 7 main source of lighting fuel - 2 4479 8518 1 collected firewood 550 2 purchased firewood 49 3 grass 8 4 paraffin 931 5 electricity 88 6 solar 63 7 gas 39 8 dry cell (torch) 2161 9 candles 563 10 biogas 3 11 other 24 Sysmiss 8518 Household installed solar panel 2409 10588 1 yes 261 2 no 2148 Sysmiss 10588 size of solar panel 239 12758 1 9999 998 DK 35 2387 10610 1 yes 2071 2 no 316 Sysmiss 10610 Does household get electricity from generator 2387 10610 1 own generator 41 2 own generator 103 3 no 2207 4 other 35 6 1 Sysmiss 10610 Does household get electricity from battery 2386 10611 1 car 72 2 motor cycle 88 3 both 25 4 no 2201 Sysmiss 10611 Main source of electricity 2395 10602 1 KPLC 2125 2 community generator 3 3 solar panels 220 4 generator, own 18 5 car battery 15 6 motorcycle battery 1 7 other 13 Sysmiss 10602 Cost of electricity last month 1684 11313 1 25000 1120.42 2271.843 Cost of lighting last month 11015 1982 1 17600 187.165 270.29 HH have electricity working 12991 6 1 yes 2305 2 no 10686 Sysmiss 6 HH connected within 100m 10685 2312 1 yes 2686 2 no 7999 Sysmiss 2312 hhld used small torch batteries 12989 8 1 yes 7187 2 no 5802 Sysmiss 8 total small torch batteries used 7171 5826 1 64 4.37 3.689 value of small torch batteries 7165 5832 1 1800 99.913 86.977 Weights 12997 0 11.1 3922.6 530.48 463.897 Serialised Cluster Number 71304 0 1 1339 680.356 372.668 Serialised HH Number 71304 0 1 7261 2 7261 3 7190 4 7222 5 7094 6 7185 7 7134 8 7172 9 7064 10 6721 energy sources 71304 0 1 purchased firewood 8447 2 collected firewood 10850 3 animal waste (biomass residue) 7259 4 straw or stalk (biomass residue) 7536 5 charcoal 9580 6 kerosene/paraffin 12073 7 gas/lpg 7571 8 electricity 7988 hhld used energy sources 12 months ago 71293 11 1 yes 30811 2 no 40482 Sysmiss 11 hhld used energy sources last month 30822 40482 1 yes 28851 2 no 1971 Sysmiss 40482 main purpose 28843 42461 1 boiling 708 2 heating 479 3 cooking 16449 4 lighting 11022 5 other 185 Sysmiss 42461 units used 14948 56356 1 bunch 836 2 bundle 5888 3 heap 2273 4 log 626 5 piece 341 6 sack 2271 7 debe 1298 8 gorogoro 849 9 tin 271 10 others 295 Sysmiss 56356 quantity used 14919 56385 0.1 1500 11.134 32.371 weight of unit 14748 56556 0.2 999 38.587 72.399 number of units used 12938 58366 0.1 99999.9 414.695 5042.453 unit of use 13871 57433 1 3 kg cylinder 139 2 6 kg cylinder 192 3 12.5 kg cylinder 119 4 13 kg cylinder 193 5 15 kg cylinder 147 6 other 31 7 11033 8 2017 Sysmiss 57433 total cost of units 20116 51188 1 280650 372.917 2141.119 distance to the nearest source 25017 46287 1 900 23.55 33.571 time spent by men 1090 70214 1 720 68.051 87.09 time spent by women 8124 63180 1 980 124.741 145.14 time spent by children 2572 68732 1 990 124.821 146.739 71304 0 11.1 3922.6 538.474 482.095 cluster 16804 0 1 1339 657.174 385.404 hhld serial number 1 - 10? 16804 0 1 10 5.44 2.862 hhld engage in farming 12 months ago 16804 0 1 2 1 yes 11244 2 no 5560 parcel ID 11244 5560 0 11 1.457 0.847 ID code of decision maker 11241 5563 0 98 98 non member 111 size of acres 11208 5596 0 1235 98 DK 42 general texture of soil 11241 5563 0 9 1 loamy 6897 2 sandy 1345 3 between sandy and clay 1887 4 clay 845 5 other 255 slope of parcel 11241 5563 0 9 1 flat 4951 2 slight slope 4075 3 moderate slope 1503 4 steep/hilly 691 5 other 9 crops 1 grown 11238 5566 0 999 14.208 47.573 crops 2 grown 8386 8418 0 999 27.568 28.747 crops 3 grown 4557 12247 0 999 30.888 40.166 crops 4 grown 2546 14258 0 999 32.05 51.947 crops 5 grown 1426 15378 0 999 29.569 44.767 hhld own parcel 11238 5566 0 9 1 yes 8041 2 no 3185 hhld have title 8182 8622 0 9 1 yes 3069 2 no 4969 status of parcel 3451 13353 0 9 1 rented/leased 1560 2 free - family 1096 3 free - others 388 4 communal 97 5 others 47 buy and sell farmland 11234 5570 0 2 1 yes 8126 2 no 3095 cost of sell/buy parcel 8154 8650 0 42000000 175963.1 801798.082 rent/lease 12 months ago 1830 14974 0 250000 3069.329 10338.969 total months practised irrigation 1022 15782 0 12 2.966 3.573 type of irrigation 969 15835 0 9 -inf how hhld get water for irrigation 969 15835 0 9 1 watering can 248 2 hose pipe 124 3 sprinkler 8 4 canals 5 5 furrow 66 6 drip 104 7 other 75 expenditure on irrigation on parcel 614 16190 0 120000 1432.4689010688 7352.58404192256 months hhlds with enough water 1005 15799 0 12 4.08199966490624 4.50600017854464 applied inorganic fertilizer 12 months ago 11236 5568 0 2 1 yes 5413 2 no 5811 quantity of inorganic fertilizer 12 months ago 5585 11219 0 50000 115.874996420608 1157.05101942784 cost of inorganic fertilizer 12 months ago 5592 11212 0 225000 2736.11780784128 8207.32414132224 where fertilizer acquired - place 1 5605 11199 0 9 1 merchant 3480 2 relative 33 3 neighbour/friend 89 4 local market 1140 5 co-op/association 167 6 company 278 7 NGO/CBO 30 8 GOK/GOK agency 162 9 other 35 where fertilizer acquired - place 2 690 16114 0 8 1 merchant 101 2 relative 12 3 neighbour/friend 25 4 local market 53 5 co-op/association 18 6 company 46 7 NGO/CBO 2 8 GOK/GOK agency 44 9 other 0 applied organic fertilizer 12 months ago 11235 5569 0 2 1 yes 3736 2 no 7487 cost of organic fertilizer 12 months ago 2089 14715 0 50000 1484.8490471424 3498.05691797504 expenditure 12 months ago on pesticides 2456 14348 0 500000 1549.9060576256 14824.1584750592 expenditure 12 months ago on fuel 562 16242 0 72000 1550.18992812032 7511.41260361728 expenditure 12 months ago on lubricants 513 16291 0 40000 246.423010410496 2562.82997030912 expenditure 12 months ago on electricity 471 16333 0 17220 59.0700005556224 842.039948214272 expenditure 12 months ago on machine/equip repairs 679 16125 0 700000 1726.96205787136 27185.0156326912 expenditure 12 months ago on tractor/oxen plough 2389 14415 0 600000 2960.86287679488 14393.9319365632 expenditure 12 months ago on purchase of small farm implements 2672 14132 0 40000 394.852986519552 1307.92097316864 expenditure 12 months ago on farm repair 4737 12067 0 280000 3222.03010727936 9100.15523192832 expenditure 12 months ago on labour costs 924 15880 0 550000 1968.39995342848 21817.376899072 expenditure 12 months ago on others 1140 15664 0 100000 1429.51091011584 5543.45993076736 expenditure 12 months ago, total 7328 9476 0 1820820 4785.84917458944 31263.6977709056 expenditure 12 months ago on land reclamation 1028 15776 0 48000 1293.2679204864 3163.5638583296 expenditure 12 months ago on long term crops 528 16276 0 300000 1960.37088116736 13827.6061052928 expenditure 12 months ago on buying mechanical equip 420 16384 0 34000 182.582985621504 2082.01609904128 cluster 28301 0 1 1339 624.890025607168 401.05397977088 hhld serial number 1 - 10? 28301 0 1 10 5.44399989669888 2.8649998778368 hhld engage in farming 12 months ago 28301 0 1 2 1 yes 22737 2 no 5564 modue ID code 22692 5609 1 12 2.4119999463424 1.50299998158848 Crops 22680 5621 1 999 1 White maize 4018 2 Hybrid maize 2629 3 Yellow maize 241 4 Katumani maize 259 5 Synthetic maize 10 6 Wheat 65 7 Rice 31 8 Finger millet 493 9 Bulrush millet 122 10 Golden millet 10 11 Other millet 76 12 Sorgum 983 13 Barley 3 14 Oats 7 15 Yams 19 16 Arrowroots 67 17 Cassava 670 18 Sweet potatoes 527 19 Potatoes 920 20 Khat (Miraa) 64 21 Chillies 11 22 Onions 133 23 Carrots 57 24 Cabagges 169 25 Sukumawiki 520 26 Tomatoes 242 27 Pumpkins 67 28 French beans 45 30 other crops 1 31 Field peas 204 32 Beans 4292 33 Grams (Black/Grean) 546 34 Yellow grams 3 35 Cow peas 1116 36 Pigeon peas 477 37 Dolicos 30 38 Soya beans 26 40 Cashewnuts 35 41 Macadamia nuts 26 42 Groundnuts 301 43 Sim Sim 17 50 Other crops 1 51 Pears 8 52 Pineaples 37 53 Bananas (cooking) 575 54 Bananas (fruits) 155 55 Passion (fruits) 25 56 Oranges 50 57 Castor 1 58 Plums 8 59 Coconut 79 61 Nappier grass 232 62 Paddock grass 52 71 Sugar cane 292 72 Pyrethrum 15 73 Cotton 55 74 Tobacco 96 75 Tea 498 76 Coffee 476 77 Wattle 0 78 Sisal 0 79 Trees 42 80 Other crops 425 999 Not Stated 26 parcel ID 1 22354 5947 1 10 1.15400008269824 0.517 parcel ID 2 3442 24859 1 10 2.11600002777088 0.502 parcel ID 3 674 27627 1 9 3.07400003289088 0.688 parcel ID 4 148 28153 1 9 3.77699994435584 1.38900005715968 total crop area in acres 22171 6130 0.01 1240 1.0060000395264 8.72500057604096 hhld used purchased seeds 22678 5623 1 2 1 yes 11199 2 no 11479 where hhld acquired seeds - 1 11194 17107 1 9 1 merchant 4603 2 relative 85 3 neighbour 920 4 local market 5156 5 coop/association 76 6 private company 85 7 NGO/CBO 57 8 GOK agencies 126 9 others 86 where hhld acquired seeds - 2 242 28059 1 9 1 merchant 35 2 relative 46 3 neighbour 72 4 local market 62 5 coop/association 4 6 private company 6 7 NGO/CBO 6 8 GOK agencies 7 9 others 4 quantity obtained 10794 17507 1 55000 34.8100019355648 597.028035887104 cost of the seeds purchased 11117 17184 1 467500 892.185973096448 5002.9121241088 purchased seedlings 12 months ago 22668 5633 1 2 1 yes 525 2 no 22143 numbers of seedlings 507 27794 0.2 100000 921.780042596352 5099.37474076672 cost of seedlings purchased 497 27804 2 80000 2273.17888581632 7287.46764009472 where hhld acquire seedlings - 1 526 27775 1 9 1 merchant 48 2 relative 23 3 neighbour 247 4 local market 123 5 coop/association 12 6 private company 34 7 NGO/CBO 4 8 GOK agencies 9 9 others 26 where hhld acquire seedlings - 2 19 28282 1 9 1 merchant 1 2 relative 3 3 neighbour 9 4 local market 4 5 coop/association 0 6 private company 0 7 NGO/CBO 1 8 GOK agencies 0 9 others 1 quantity harvested 12 months ago 18184 10117 0.1 720000 294.982984400896 6507.61499312128 units harvested 18191 10110 1 10 1 kilogramme 8331 2 50 kg bag 1376 3 90 kg bag 7141 4 tonnes 221 5 number 1098 quantity consumed 15880 12421 0.1 720000 110.059996577792 5749.19825948672 units consumed 15894 12407 1 10 1 kilogramme 7664 2 50 kg bag 1225 3 90 kg bag 5867 4 tonnes 105 5 number 1014 quantity sold 6549 21752 0.1 194000 447.726986723328 3540.9539104768 units sold 6571 21730 1 10 1 kilogramme 2964 2 50 kg bag 339 3 90 kg bag 2596 4 tonnes 115 5 number 552 total value from sales 6448 21853 1 1500000 12428.473532416 48296.3569508352 average price paid 6399 21902 0.2 150000 673.737963732992 2843.40491649024 whom sold to - 1 6523 21778 1 9 1 merchant 1831 2 relative 65 3 neighbour 684 4 local market 2589 5 coop/association 420 6 private company 378 7 NGO/CBO 328 8 GOK agencies 5 9 others 223 whom sold to - 2 652 27649 1 9 1 merchant 67 2 relative 30 3 neighbour 228 4 local market 304 5 coop/association 12 6 private company 2 7 NGO/CBO 1 8 GOK agencies 0 9 others 8 quantity used for payments 926 27375 0.1 6400 98.0969993535488 495.234022637568 units used 979 27322 1 5 1 kilogramme 523 2 50 kg bag 50 3 90 kg bag 353 4 tonnes 12 5 number 41 quantity in store 4727 23574 0.1 4160 36.6939994062848 146.936988434432 units stored 4757 23544 1 10 1 kilogramme 2265 2 50 kg bag 252 3 90 kg bag 2170 4 tonnes 1 5 number 67 quantity used for seeds 3442 24859 1 2000 16.2420009992192 72.7440020209664 units for seeds 3472 24829 1 10 1 kilogramme 3111 2 50 kg bag 44 3 90 kg bag 240 4 tonnes 4 5 number 70 quantity given out as gift 4082 24219 1 5000 23.03599837184 113.264000237568 units given out 4138 24163 1 10 1 kilogramme 2874 2 50 kg bag 162 3 90 kg bag 787 4 tonnes 7 5 number 302 quantity lost/wasted 1264 27037 1 8000 59.7879982915584 334.71200231424 units lost/wasted 1304 26997 1 5 1 kilogramme 583 2 50 kg bag 132 3 90 kg bag 498 4 tonnes 5 5 number 86 cause of lost/wasted - 1 1274 27027 1 9 1 weevils 283 2 mice/rat 52 3 flood 81 4 wild 152 5 animal 117 6 theft 585 7 other 0 cause of lost/wasted - 2 259 28042 1 6 1 weevils 43 2 mice/rat 55 3 flood 14 4 wild 49 5 animal 44 6 theft 54 7 other 0 total days of labour for this crop 5309 22992 0.1 4200 39.8059984912384 128.238009450496 total labour cost 4952 23349 3 432000 3021.25481459712 11070.1297270784 cluster 28248 0 1 1339 640.492970704896 400.383998427136 hhld serial number 1 - 10? 28248 0 1 10 5.45300020199424 2.85700016570368 raised or owned livestock 28248 0 1 2 1 yes 22809 2 no 5439 livestock ID 22809 5439 0 21 1 yes 8004 2 no 5985 animal code 22809 5439 0 999 100 exotic cattle 30 101 exotic dairy cattle 1359 102 exotic beef cattle 160 103 exotic calves 500 200 zebu cattle 317 201 zebu milk cattle 2394 202 zebu beef cattle 1317 203 zebu calves 1273 300 sheep 258 301 wool sheep 193 302 hair sheep 1455 303 immature sheep 348 400 goats 463 401 dairy goats 739 402 meat goats 2558 403 immature goats 832 500 pigs 70 501 immature pigs 37 600 poultry 16 601 chicken layers 135 602 chicken broilers 59 603 indigenous chicken 5150 604 chicks 1824 605 ducks 183 606 geese 10 607 ostriches 4 608 turkey 41 701 camels 167 702 donkeys 481 703 horses 3 704 mules 2 801 fish 11 802 bees 125 803 crocodiles 5 804 rabbits 79 900 other 105 total livestock owned 22315 5933 0 30000 23.1079994720256 457.756976873472 if sold, cost of selling 22256 5992 0 400000 3877.02100852736 7102.69076504576 number sold 12 months ago 22809 5439 0 93500 18.0529991254016 749.031961657344 value recieved for sale 12 months ago 22809 5439 0 8120000 2350.31482073088 55299.3917239296 number consumed 12 months ago 22809 5439 0 900 1.26100004929536 10.260999831552 number died 12 months ago 22809 5439 0 19000 4.24599997120512 128.843004248064 number lost 12 months ago 22809 5439 0 1000 0.818 8.55399980859392 number given away 12 months ago 22809 5439 0 604 0.438 7.85399999889408 hhld purchased 22809 5439 0 2 1 yes 3291 2 no 19453 number purchased 12 months ago 22809 5439 0 48000 6.1149999529984 381.45097728 amount paid for purchase12 months ago 22809 5439 0 1780000 670.270985601024 12280.7744724992 number born 12 months ago 22809 5439 0 36000 19.752999190528 455.221973090304 number received 12 months ago 22809 5439 0 6500 0.739 44.3539997589504 number of days labour hired 12 months ago 22809 5439 0 37000 20.9979994800128 299.292984082432 amount paid for hired labour 22809 5439 0 360000 443.306995613696 4204.8417693696 expenditure 12 months ago on drugs 22809 5439 0 100000 342.070019489792 1465.41197131776 expenditure 12 months ago on vaccines 22809 5439 0 27000 66.8529980342272 440.103990198272 expenditure 12 months ago on water 22809 5439 0 21600 46.4510007640064 458.380015566848 expenditure 12 months ago on livestock chems 22809 5439 0 48000 245.406998986752 971.38000265216 expenditure 12 months ago on manu feeds 22809 5439 0 1920000 451.192991776768 14117.247123456 expenditure 12 months ago on folder 22809 5439 0 167900 106.74600148992 1876.47590924288 expenditure 12 months ago on AI 22809 5439 0 12000 18.0029996662784 226.61900009472 expenditure 12 months ago on livestock insurance 22809 5439 0 11820 0.84 80.8999972765696 expenditure 12 months ago on fuels 22809 5439 0 20000 8.02799986147328 299.460991123456 expenditure 12 months ago on lubricants 22809 5439 0 4080 0.812 38.263997857792 expenditure 12 months ago on electricity 22809 5439 0 6000 1.27999999475712 63.8319985688576 expenditure 12 months ago on mach repairs 22809 5439 0 10500 3.67200007356416 129.182994530304 expenditure 12 months ago on purch of small implements 22809 5439 0 7600 16.6919994867712 156.2759921664 expenditure 12 months ago on farm repairs 22809 5439 0 40000 22.261998288896 435.703997530112 expenditure 12 months ago on other 22809 5439 0 40000 37.8450003099648 493.65498462208 expenditure 12 months ago, total 22809 5439 0 1976800 1381.07299037184 15130.4953397248 main AI provider 22809 5439 0 5 1 government 1313 2 private vet 1406 3 self 577 4 none 7231 5 others 340 main vet services 22809 5439 0 5 1 government 5162 2 private vet 6592 3 self 5037 4 none 4856 5 others 122 22809 5439 0 34000000 1604.68601667584 225159.499743232 expenditure 12 months ago on purch of mecha equip 22809 5439 0 34000 6.99200006258688 353.851014119424 cluster 27176 0 1 1339 663.267974316032 381.561002262528 hhld serial number 1 - 10? 27176 0 1 10 5.45300020199424 2.8639999557632 raised or owned livestock 27176 0 1 2 1 yes 20271 2 no 6905 20271 6905 1 4396 2 4046 3 880 4 984 5 1543 6 1346 7 847 8 1686 9 824 10 2706 11 1013 Sysmiss 6905 7289 19887 0.249999996747776 3 0.300000009519104 2 0.499999993495552 21 0.700000011026432 2 1 584 1.2000000212992 5 1.30000003006464 1 1.40000003883008 2 1.50000004759552 43 1.79999999000576 2 2 379 2.099999932416 1 2.15000006262784 1 2.18000007364608 1 2.20000002506752 1 2.4000000425984 4 2.49999996747776 18 2.69999998500864 1 2.80000007766016 4 2.90000017031168 1 3 199 3.1000000200704 1 3.19999994494976 1 3.37000011923456 1 3.50000005513216 2 3.59999998001152 3 3.80000016531456 2 3.90000009019392 2 4 150 4.09999993995264 1 4.199999864832 2 4.4999999750144 11 4.8000000851968 1 5 160 5.24999991492608 1 5.49999989489664 2 5.60000015532032 3 6 129 6.30000030056448 2 6.75000013029376 4 6.8000002605056 1 6.89999984984064 1 7 84 7.19999996002304 2 7.50000007020544 36 8 116 8.25000001011712 1 8.399999729664 5 9 73 9.3000000602112 3 9.44999977975808 2 9.6000001703936 1 9.80000002015232 6 10 402 10.49999966208 10 10.8500000702464 1 10.8999995293696 1 11 26 11.0999998824448 6 12 188 12.4000000802816 1 12.4999998373888 2 13 33 13.0199995809792 1 13.4999999250432 6 14 66 15 312 16 76 16.4999993491456 2 16.799999459328 2 17 18 18 97 18.6000001204224 8 18.7500001755136 1 18.9000002306048 1 19 10 19.599999369216 1 20 327 21 55 21.749999599616 1 21.8999996547072 1 22 22 22.1999997648896 5 22.399999279104 5 22.499999875072 11 23 8 23.4999991238656 1 24 60 25 57 26 23 27 26 27.7999995846656 1 28 39 28.5000004009984 1 29 7 29.499999649792 1 30 573 30.7000000905216 1 31 12 31.4999981473792 13 32 18 32.099998367744 1 32.500000751616 1 33 6 33.1999998902272 1 33.599998918656 3 33.7500006514688 2 34 12 34.4999992492032 2 35 21 36 50 37 4 37.2000002408448 6 37.5000003510272 2 38 9 39 5 39.199998738432 1 40 106 41 3 41.2500000505856 1 42 34 42.6999977869312 1 43 2 43.4000002809856 1 44 4 44.3999995297792 6 44.4999984480256 1 44.799998558208 1 45 91 46 3 46.2000001908736 4 46.500000301056 2 48 24 49 2 50 81 51 1 52 2 52.4999991492608 7 54 8 54.7499982979072 1 55 6 55.8000003612672 1 56 14 57 5 58 4 60 395 62 16 63 18 64 3 65 3 65.2500021542912 1 66 3 66.5999976169472 2 67.199997837312 2 67.5000013029376 4 68 4 68.3999982780416 1 69 3 70 17 72 17 73.4999967956992 2 74 1 75 24 76 1 77.50000050176 1 78 4 78.399997476864 1 80 18 81 1 83 1 84 25 87 1 88.1999988391936 1 88.3999966756864 1 89.9000005820416 1 90 254 91 1 92 1 92.4000003817472 2 93 7 94 1 94.4999977975808 1 96 5 97.4999988994048 2 98 2 98.6999993401344 1 99 1 99.899999780864 1 100 40 100.799996755968 2 105 30 108 8 108.500000702464 1 109 1 112 8 112.49999937536 2 113 1 114 2 115 1 116 1 117 1 117.799997407232 1 118 1 119 1 120 209 121 1 121.500002680832 1 124 7 126 10 126.4999989248 1 128.300001263616 1 130 4 130.199995809792 1 133 1 135 13 137 1 139 1 140 6 142.500002004992 1 144 4 147 5 147.299997057024 1 150 205 155 10 156.399992569856 1 157.500007514112 1 160 3 162 1 165 1 168 14 170 2 171 1 180 115 186 4 189 2 195 3 197.400002035712 1 199.500006162432 1 200 18 202 2 206 1 210 46 214 1 216 1 217 4 217.49999599616 1 220 1 223 1 224 3 225 4 231 3 235 1 235.199992430592 1 240 60 241.500004810752 1 247 1 247.5000070144 1 248 4 250 2 252 3 255 2 257 1 270 27 275 1 279 2 280 7 282 1 294 1 295 1 300 91 310 8 315 3 320 1 330 6 340 1 342 1 350 4 360 34 364 2 372 4 378 1 380 1 390 5 392 1 400 2 403 3 420 18 434 1 435 1 448 1 450 19 460 1 465 2 471 1 480 7 485 1 496 1 500 1 510 3 540 5 542 1 543 1 558 1 570 1 588.499975667712 1 589 1 600 19 610 1 620 3 630 2 660 2 690 1 700 1 720 4 729 1 744 1 750 3 780 2 800 2 810 2 837 1 840 3 900 5 930 2 960 1 1000 1 1020 1 1050 3 1080 1 1144 1 1182 1 1200 9 1320 1 1398 1 1450 1 1500 2 1800 1 1980 1 2100 1 2160 2 2250 1 2392 1 2400 2 2700 2 2950 1 3000 1 3240 1 4050 1 4320 1 4500 1 5010 1 7462 1 8700 1 9000 1 118000 1 Sysmiss 19887 7286 19890 1 681 2 2836 3 3432 4 317 5 20 Sysmiss 19890 2278 24898 0.499999993495552 2 0.700000011026432 1 1 89 1.2000000212992 1 1.50000004759552 1 1.79999999000576 1 2 77 2.099999932416 1 2.49999996747776 1 2.69999998500864 1 3 67 3.50000005513216 1 4 56 4.4999999750144 2 4.8000000851968 1 5 82 5.39999997001728 1 5.88000014630912 1 6 40 6.30000030056448 2 7 12 7.50000007020544 3 8 29 9 26 9.3000000602112 4 9.80000002015232 1 10 130 10.49999966208 9 11 2 11.0999998824448 1 11.199999639552 2 11.249999937536 1 11.3999999926272 1 11.5500000477184 1 11.5999995068416 1 12 24 12.4999998373888 1 12.599999594496 1 13 3 13.4999999250432 2 14 7 14.2999996596224 1 14.7299997057024 1 14.7999992840192 1 15 79 15.500000100352 1 16 8 16.799999459328 1 17 1 18 18 18.6000001204224 5 19 2 20 87 21 27 21.7000001404928 1 21.749999599616 1 22 3 22.1999997648896 1 22.499999875072 8 23 2 23.250000150528 1 24 9 25 8 27 10 28 11 28.3999981273088 1 28.5000004009984 1 29 1 30 188 31 5 31.4999981473792 3 32 1 32.5500002107392 1 33 3 33.599998918656 1 34 2 36 12 39.8999978770432 1 40 35 42 19 42.8000000606208 1 43 1 44 3 45 42 46 4 46.500000301056 1 47 1 48 1 50 29 50.399998377984 1 52 1 52.4999991492608 3 54 3 55 1 56 3 57 1 60 163 62 8 63 3 63.749998247936 1 65 1 66 1 67 1 67.5000013029376 1 68 5 69.300001964032 2 70 11 72 2 73.4999967956992 1 74 2 75 18 79.7999957540864 1 80 16 82 1 84 7 85 3 86 1 89 2 90 118 92.4000003817472 1 93 3 96 2 98.6999993401344 1 100 39 101 1 105 8 108.500000702464 1 111 1 111.600002400256 1 112 4 112.49999937536 1 115.500000477184 1 116.25000075264 1 120 84 124 9 126 3 130 3 131 2 135 4 137 1 140 4 144 2 147 2 150 64 155 4 157 1 157.500007514112 1 160 5 168 2 170 2 173.599994413056 1 174 3 180 29 186 1 187 1 190 2 194 1 195 1 196 1 200 21 210 24 217 1 218 1 224 1 225 2 240 28 241.500004810752 1 248 4 250 3 265 1 270 20 279 2 280 3 285 1 291.500000804864 1 300 34 310 3 312 1 330 2 342 1 350 1 360 10 371.500007817216 1 372 1 384 1 390 8 400 1 420 4 434 2 440 2 450 11 476 1 480 4 496 1 500 4 510 1 536 1 540 6 580 1 600 6 620 1 645 1 660 1 680 1 700 1 712 1 720 1 750 3 780 1 785 1 806 1 810 2 850 1 870 1 900 2 930 1 1000 1 1005 1 1350 1 1440 2 1500 2 1680 1 1800 1 2000 1 2070 1 2160 1 2400 1 2520 1 2550 1 3000 1 3600 1 4000 1 4200 1 6240 1 8700 1 10000 1 12000 1 Sysmiss 24898 2273 24903 1 16 2 37 3 22 4 8 5 5 8 8 9 1 10 11 12 6 13 1 15 17 16 5 18 2 20 48 21 3 24 7 25 39 27 1 28 1 30 35 32 6 35 7 36 5 40 37 42 5 45 7 48 7 50 74 52 2 53 1 54 1 55 1 56 1 60 27 63 2 64 3 65 2 68 1 70 5 75 15 80 23 84 2 88 1 90 11 95 1 100 54 105 4 108 1 110 1 112 1 120 39 125 5 130 4 132 1 135 1 140 7 142 1 147 1 150 59 160 11 165 1 180 11 190 1 196 2 198 1 200 46 210 9 216 1 217 2 220 1 224 1 225 7 230 1 233 1 240 14 248 1 250 21 252 1 270 1 279 1 280 13 288 2 300 104 310 7 315 1 320 3 324 1 330 2 342 1 350 2 355 1 360 14 365 1 372 2 375 4 382 1 390 2 392 2 400 25 408 1 420 22 440 1 450 37 464 1 465 2 480 14 496 2 500 16 514 1 520 2 530 1 540 7 550 2 552 1 560 3 580 1 585 2 600 121 616 1 620 5 630 4 640 2 650 1 660 1 675 3 700 7 720 19 744 1 750 7 760 1 766 1 775 2 780 11 784 1 800 9 806 1 810 1 840 14 868 1 900 86 904 1 930 5 960 9 975 1 980 1 1000 16 1008 2 1020 1 1040 1 1050 4 1060 1 1066 1 1080 15 1115 1 1120 2 1125 3 1130 1 1140 1 1170 9 1178 1 1190 1 1200 74 1209 1 1220 1 1240 3 1250 1 1260 14 1275 1 1300 3 1302 2 1320 1 1350 21 1395 1 1400 8 1440 17 1500 30 1530 1 1550 1 1560 7 1575 1 1600 2 1620 3 1650 2 1660 1 1665 1 1680 10 1687 1 1700 1 1720 1 1736 2 1740 2 1750 1 1755 1 1780 1 1800 77 1820 1 1860 4 1890 1 1900 1 1920 5 1950 3 1960 2 1974 1 1980 2 1984 2 2000 10 2025 2 2100 14 2108 1 2160 6 2170 1 2175 1 2200 1 2226 1 2232 1 2240 2 2250 17 2329 1 2340 1 2400 28 2405 1 2475 1 2480 1 2500 4 2520 4 2550 4 2600 1 2610 1 2700 21 2730 2 2744 1 2751 1 2790 1 2800 2 2880 4 2940 3 3000 20 3040 1 3060 3 3080 1 3100 1 3120 1 3150 6 3200 2 3240 5 3255 1 3300 3 3348 1 3360 5 3400 1 3450 1 3500 2 3510 2 3528 1 3570 1 3574 1 3600 23 3720 2 3740 1 3750 1 3780 7 3800 1 3840 1 3900 5 3906 1 3960 1 3968 1 3975 1 4000 4 4050 4 4081 1 4160 1 4170 1 4200 8 4250 1 4256 1 4320 4 4350 1 4410 1 4500 6 4590 1 4650 1 4680 1 4800 6 4836 1 4910 1 4960 2 5000 3 5040 1 5100 1 5130 1 5250 1 5315 1 5386 1 5400 7 5460 1 5600 1 5700 1 5760 3 5850 4 5880 1 5890 1 5940 1 6000 13 6090 1 6120 1 6250 1 6300 2 6315 1 6400 1 6480 1 6525 1 6600 1 6640 1 6664 1 6699 1 6750 1 6900 1 7000 2 7200 6 7230 1 7500 2 7560 1 7680 1 7800 2 7920 1 8100 1 8400 3 8600 1 8660 1 8800 1 9000 9 9180 1 9520 1 9600 2 9720 1 9920 1 10000 1 10530 1 10800 3 10920 1 11250 1 11284 1 11600 1 12000 4 12771 1 12865 1 13020 1 13500 1 13600 1 14000 1 14560 1 15000 3 15150 1 15300 1 16000 1 16740 1 16800 2 17400 1 18000 2 18001 1 18090 1 18760 1 19500 2 20250 1 21000 3 21600 1 22000 2 30000 2 30380 1 31050 1 31500 1 40000 2 45000 1 45900 1 83000 1 86400 1 200000 1 210000 1 960000 1 Sysmiss 24903 2266 24910 1 127 2 53 3 286 4 17 5 890 6 146 7 422 8 13 9 312 Sysmiss 24910 1214 25962 0.169999989735424 1 0.200000000753664 1 0.249999996747776 1 0.300000009519104 3 0.499999993495552 14 0.600000019038208 3 0.700000011026432 2 0.89999999500288 1 1 69 1.049999966208 1 1.07999997722624 1 1.2000000212992 3 1.24999998373888 1 1.40000003883008 2 1.50000004759552 7 1.75000002756608 2 1.79999999000576 1 1.90000008265728 1 2 117 2.099999932416 1 2.4000000425984 1 2.45000000503808 1 2.49999996747776 6 2.69999998500864 1 3 81 3.03999999803392 1 3.15000015028224 1 3.50000005513216 3 3.59999998001152 1 4 89 4.199999864832 1 4.4999999750144 1 5 154 5.88000014630912 1 6 32 6.75000013029376 1 7 19 7.39999980978176 1 7.50000007020544 5 8 26 8.399999729664 1 9 15 9.3000000602112 1 10 163 10.0999997947904 1 10.49999966208 12 10.879999410176 1 11 3 11.899999617024 1 12 14 13 1 14 5 14.7000003657728 1 15 47 15.1999999901696 1 15.500000100352 2 16 1 17 1 18 3 19 1 20 52 21 5 21.749999599616 1 22 1 22.499999875072 3 23 1 24 3 25 6 27 1 28 3 30 86 31 3 31.4999981473792 2 33.599998918656 1 34.1999991390208 1 35 1 40 6 40.499998097408 1 42 3 43 1 45 5 50 13 56 2 60 22 70 5 72 1 74 1 75 1 80 4 84 1 90 9 98 1 100 2 102 1 120 9 130 1 150 6 160 1 180 2 186 1 200 1 210 2 350 1 360 1 390 1 480 1 600 1 1000 2 1222 1 2000 1 Sysmiss 25962 1217 25959 1 177 2 678 3 325 4 27 5 7 6 1 9 2 Sysmiss 25959 13311 0 1 1339 667.79795685376 386.797003603968 hhld serial number 1 - 10? 13311 0 1 10 5.46099991412736 2.85999993192448 13311 0 1 2 1.70900003487744 0.454 3866 9445 1 12 1.141999927296 0.51 3657 9654 1 9599 5988.14004084736 1826.21891985408 3860 9451 1 3 1.43399998980096 0.724 3860 9451 1 12 1.42700003196928 0.891 480 12831 1 12 2.1830001754112 1.14300001714176 515 12796 1 12 1.50499999350784 1.4090000924672 3809 9502 1 21 1.46099989905408 0.971 385 12926 1 12 2.26799992700928 1.34800006447104 3809 9502 1 12 9.93500023750656 3.43100006334464 Operation place 3863 9448 1 11 1 Home Inside Residence 565 2 Home Outside Residence 498 3 Jua Kali Sheds 103 4 Local Market 889 5 Commercial Area Shop 588 6 Roadside 439 7 Other Fixed Place 175 8 Mobile 436 9 Kiosks 83 10 Other 81 11 Not stated 6 3199 10112 1 198 6.88199991033856 8.31800007983104 1696 11615 1 99 5.76199994638336 10.6750002855936 Registration status 3862 9449 1 9 1 Formal 498 2 Informal 3350 9 Not Stated 7 No of Males 1967 11344 1 5 1.08599992909824 0.354 No of Females 2191 11120 1 10 1.11500001804288 0.445 No of Males 574 12737 1 97 3.97600020758528 8.3920003530752 No of Females 282 13029 1 153 3.53900003590144 11.0449999740928 3112 10199 1 99 43.8510020460544 24.960999358464 Operation place 3858 9453 1 12 1 Loan From Family/Friend 262 2 Gift From Family/Friend 561 3 Sale of Assets Owned 246 4 Proceeds from Another Business 384 5 Own Savings 1785 6 Loan From Saccos 123 7 Non Agricultural Credit 34 8 Money Lender 22 9 Inherited 33 10 Other 126 11 None 273 399 12912 1 11 4.28100026368 2.24200010760192 36 13275 1 10 4.33300023803904 2.57499999502336 3648 9663 1 20000000 76273.5591686144 728921.3812736 1135 12176 10 492000 4451.06788237312 19982.0719423488 718 12593 10 2800000 32616.4379860992 163153.358880768 1432 11879 2 2000000 3255.0969933824 53880.8546230272 523 12788 2 510000 4656.26397147136 28924.557918208 90 13221 2 300000 28091.8224797696 56970.7144937472 2290 11021 20 17200000 48420.1090514944 543134.115168256 1452 11859 20 1000000 4538.06177386496 31064.94480384 866 12445 2 10000000 62911.4595704832 662627.285991424 759 12552 10 2500000 11366.3759351808 102585.67135232 3443 9868 3 17906000 60446.79929856 632278.308880384 Market for product 3852 9459 1 9 1 Final Consumers 3387 2 Small Business 295 3 Large Established Business 18 4 Institutions 49 5 Export 4 6 Manufacturers 26 7 Government 6 8 Other 52 9 Not stated 15 496 12815 1 8 2.11100008185856 1.1410000052224 Profitability 3850 9461 1 9 1 Earned a profit 2920 2 Loss 267 3 Broke Even 650 9 Not stated 13 3131 10180 -400000 20000000 54454.5850785792 495945.91346688 13311 0 11.0999998824448 3922.60000677888 527.775010127872 463.366002835456 Serialised cluster nummber 12924 0 1 1339 666.722000437248 386.574000848896 Serialised HH number 12924 0 1 10 5.45699989028864 2.85999993192448 received transfer Has the household received or given out any transfers (cash or in-kind) (include CEREMONIAL EXPENDITURES) during past 12 months? Did the household (or any member of the household) receive or give any gifts whether in cash or kind during the last 12 months. If YES record 1. If record NO record 2 and skip to R10. 12924 0 0 1 1 yes 9027 2 no 3896 household ID Over the past 12 months, did household receive any gifts (in cash or in-kind) from any source (Individuals / family/institutions) outside your household? 9024 3900 0 1 1 yes 6265 2 no 2758 Sysmiss 3900 cash received from individuals 'What was the total value of all cash received as a gift from (…..) in the last 12 months?(Individual) Record the amount of cash (in Kshs) received against the relevant source(s). If the household received cash in dollars (or any other currency) from abroad convert into Kshs and insert this against the column for Outside Kenya. Probe to find out how much it was in Kshs. 6270 6654 0 2044 1 9 2 1 6 1 10 1 15 1 20 4 30 1 40 1 50 38 60 2 100 125 110 1 120 6 150 28 160 1 180 1 200 263 230 1 240 2 250 28 260 2 300 127 340 1 350 8 360 2 380 1 400 77 450 5 480 5 500 379 520 3 540 1 550 8 560 1 580 1 600 92 620 1 650 5 680 1 700 49 720 1 750 3 760 1 800 58 820 2 840 1 850 6 890 1 900 13 950 1 1000 340 1020 1 1030 1 1100 12 1150 1 1200 73 1250 2 1300 16 1350 2 1400 25 1450 2 1500 123 1600 18 1650 1 1700 9 1750 1 1800 25 1900 5 1950 1 2000 358 2100 5 2200 5 2250 1 2300 3 2400 27 2435 1 2500 54 2600 9 2700 1 2800 8 2900 2 3000 230 3020 1 3100 1 3200 7 3300 6 3400 3 3500 25 3600 20 3700 4 3800 2 3850 1 3900 1 4000 129 4200 4 4250 1 4300 1 4400 1 4500 16 4600 2 4700 1 4800 8 4900 2 5000 198 5200 4 5300 1 5400 3 5500 8 5600 1 6000 161 6200 3 6400 1 6500 6 6600 1 6900 2 7000 30 7200 6 7400 2 7500 4 7600 2 7700 1 7800 1 8000 47 8300 1 8400 6 8500 2 9000 16 9500 2 9600 7 9700 1 9800 1 10000 125 10200 1 10400 1 10440 1 10600 1 10700 1 10800 1 11000 6 11500 1 12000 90 12500 2 12600 1 12900 1 13000 9 13200 1 14000 17 14400 2 14500 2 15000 42 15600 1 16000 4 16750 1 17000 3 17500 1 17600 1 18000 24 18100 1 18500 1 18800 1 19000 1 19200 3 20000 45 20200 1 20300 1 20400 1 20500 1 21000 3 21600 2 22000 3 22500 1 23000 2 24000 46 24500 1 25000 12 26000 2 27500 1 28000 4 28200 2 28800 1 29000 1 30000 36 30500 1 31000 1 32000 5 34000 4 35000 5 36000 31 37000 1 39000 1 39300 1 40000 15 41000 1 42000 2 42050 1 43000 1 43550 1 45000 3 48000 17 48500 1 50000 24 50500 1 51000 1 53000 1 56000 2 60000 27 65000 1 66000 1 70000 2 70300 1 71400 1 72000 10 75000 1 76000 1 80000 2 82000 1 84000 3 88000 2 90000 1 98000 1 100000 12 108000 2 115000 1 120000 9 120048 1 140000 1 144000 1 150000 2 156000 1 200000 4 242000 1 250000 2 340450 1 360000 3 384000 1 473000 1 500000 1 600000 1 700000 1 720000 1 1000000 1 1200000 1 1300000 1 Sysmiss 6654 cash received from non-profit instititution 'What was the total value of all cash received as a gift from (…..) in the last 12 months? (Non profit Institution) Record the amount of cash (in Kshs) received against the relevant source(s). If the household received cash in dollars (or any other currency) from abroad convert into Kshs and insert this against the column for Outside Kenya. Probe to find out how much it was in Kshs. 6270 6654 0 6134 30 1 78 1 100 4 150 1 200 2 240 1 270 1 280 1 300 2 350 2 400 4 500 6 520 1 600 1 620 1 660 1 700 1 800 2 1000 16 1200 2 1500 4 1600 3 1911 1 2000 16 2235 1 2680 1 3000 8 3500 1 3600 1 4000 1 4200 1 5000 5 5500 1 6000 4 6500 1 6985 1 7000 1 8000 2 9000 1 10000 6 10900 1 12000 2 13000 1 15000 5 16000 1 18000 1 19700 1 20000 2 21000 1 23000 1 40000 3 48000 1 50000 2 60000 1 100000 1 120000 1 Sysmiss 6654 cash received from government 'What was the total value of all cash received as a gift from (…..) in the last 12 months? (Government) Record the amount of cash (in Kshs) received against the relevant source(s). If the household received cash in dollars (or any other currency) from abroad convert into Kshs and insert this against the column for Outside Kenya. Probe to find out how much it was in Kshs. 6270 6654 0 6210 10 1 60 1 100 2 180 1 200 2 240 1 302 1 450 1 480 1 500 3 555 1 580 1 700 1 738 1 800 1 863 2 1000 3 1200 1 1400 2 1500 2 1800 1 2000 1 2800 1 2875 2 3000 3 3600 1 3785 1 3800 1 4000 1 4200 1 5000 5 6000 1 7000 2 7700 1 8000 1 8500 1 10000 3 15000 1 20000 1 23000 1 24000 1 Sysmiss 6654 cash received from corporate sector 'What was the total value of all cash received as a gift from (…..) in the last 12 months? (Corporate Sector) Record the amount of cash (in Kshs) received against the relevant source(s). If the household received cash in dollars (or any other currency) from abroad convert into Kshs and insert this against the column for Outside Kenya. Probe to find out how much it was in Kshs. 6270 6654 0 6245 90 1 500 2 540 1 1000 1 1650 1 1700 1 2000 2 3220 1 5000 2 6500 1 10000 1 11000 1 12000 1 15000 1 16000 1 20000 2 22000 1 25000 1 30000 1 75000 1 100000 1 Sysmiss 6654 cash received from outside kenya 'What was the total value of all cash received as a gift from (…..) in the last 12 months? (Outside Kenya) Record the amount of cash (in Kshs) received against the relevant source(s). If the household received cash in dollars (or any other currency) from abroad convert into Kshs and insert this against the column for Outside Kenya. Probe to find out how much it was in Kshs. 6270 6654 0 6145 40 1 52 1 90 1 100 1 149 1 200 1 250 1 400 1 440 1 500 3 1000 3 1200 2 1500 1 2000 5 2400 2 3000 4 3500 2 4800 1 5000 7 6000 5 8000 3 8400 1 10000 4 12000 1 13000 1 15000 3 16000 1 20000 5 24000 1 25000 1 29000 1 30000 5 35000 1 36000 1 40000 2 42000 1 50000 3 52500 1 60000 3 70000 1 80000 1 84000 3 90000 1 96000 2 100000 5 120000 3 125000 1 142000 1 153000 1 170000 1 180000 1 200000 1 240000 2 280000 1 300000 1 360000 1 370000 1 400000 2 450000 1 650000 1 700000 2 800000 1 1000000 1 1080000 1 1098000 1 1700000 1 2000000 1 3000000 2 Sysmiss 6654 food received from individual 'What was the total value of all food received as a gift from (….) in the last 12 months? (Individual) (KShs) Indicate the value of any food received for free in this column against the relevant source. If for example, the household received one bag of maize, use the price of a bag of maize (within that area) as the estimate. Probe to find out how much the bag would have cots. 6270 6654 0 2853 5 1 10 2 15 2 20 12 25 2 30 5 35 1 38 1 40 9 42 1 45 3 50 47 55 2 60 16 65 2 70 10 75 3 80 29 81 1 85 1 90 8 95 1 96 1 100 122 104 1 110 1 120 32 125 2 132 1 136 1 140 7 144 1 146 1 150 66 155 1 156 1 157 1 160 14 164 1 165 1 170 3 175 1 179 1 180 22 182 1 185 1 186 1 189 1 190 1 192 1 193 1 200 270 205 1 206 1 210 4 225 5 227 1 230 2 235 1 238 1 240 13 250 39 251 1 260 6 270 2 275 1 280 8 288 1 290 3 300 175 304 1 310 1 320 8 330 1 335 1 338 1 340 2 345 1 350 19 360 7 365 1 370 3 380 4 385 1 390 2 395 1 400 124 420 8 430 1 440 2 450 20 456 1 460 3 465 1 480 7 490 1 500 349 515 1 520 1 525 1 530 2 540 1 550 3 560 5 570 2 580 2 587 1 590 1 600 99 605 1 620 2 630 2 633 1 640 4 650 5 660 2 665 1 670 1 675 2 680 4 700 57 720 10 750 11 760 4 770 1 790 1 800 78 810 1 820 3 825 1 830 1 840 2 843 1 850 3 860 1 870 1 875 3 895 1 900 30 918 1 920 1 950 1 960 5 980 2 1000 328 1040 1 1050 1 1060 1 1065 1 1090 1 1095 1 1100 4 1125 1 1130 2 1150 1 1160 1 1170 1 1180 1 1200 86 1220 1 1250 1 1280 3 1290 1 1300 10 1350 2 1360 1 1390 1 1400 11 1425 1 1440 2 1500 98 1550 1 1600 25 1612 1 1620 2 1670 1 1700 5 1800 25 1825 1 1880 1 1900 1 2000 213 2040 1 2048 1 2100 1 2160 3 2200 3 2240 1 2250 1 2300 1 2400 23 2420 1 2500 29 2600 4 2640 1 2700 1 2800 7 2880 1 2900 2 3000 124 3120 1 3150 2 3200 3 3360 1 3380 1 3400 1 3500 8 3510 1 3600 13 3700 1 3800 1 3900 2 4000 59 4200 3 4400 1 4500 8 4562 1 4600 1 4640 1 4800 9 4910 1 5000 93 5500 1 5600 1 5700 1 5950 1 6000 59 6200 2 6500 3 6600 1 6800 1 7000 12 7200 3 7255 1 7800 1 8000 13 8060 1 8700 1 8800 1 9000 5 9120 1 9500 1 9600 2 10000 34 11000 2 12000 17 12400 1 12500 1 12600 1 12800 1 13000 1 14000 2 14400 1 15000 6 16000 4 16800 1 17000 2 18000 3 19000 1 20000 10 20160 1 21000 2 21200 1 24000 4 25000 2 28000 1 30000 8 36000 8 36500 1 40000 2 50000 5 60000 4 72000 1 84000 1 90000 1 168000 1 Sysmiss 6654 food received from non-profit instititution 'What was the total value of all food received as a gift from (….) in the last 12 months? (Non profit Institution) (KShs) Indicate the value of any food received for free in this column against the relevant source. If for example, the household received one bag of maize, use the price of a bag of maize (within that area) as the estimate. Probe to find out how much the bag would have cots. 6270 6654 0 5571 40 2 50 2 80 2 90 1 100 8 117 1 120 3 125 1 140 2 150 3 160 3 180 2 185 1 190 1 200 16 220 1 230 1 250 5 255 1 270 1 280 4 285 1 300 15 320 1 335 1 340 2 350 4 360 6 365 1 370 1 380 1 400 18 420 1 425 1 450 1 460 1 464 1 467 1 470 3 480 1 490 2 495 1 500 34 540 2 550 2 560 2 570 1 599 1 600 13 610 3 630 2 632 1 640 1 650 5 670 1 680 1 700 9 702 1 720 2 740 1 750 6 760 1 775 1 780 1 800 16 805 1 840 1 850 3 860 1 900 7 905 1 930 1 940 1 980 2 1000 28 1050 3 1052 1 1100 2 1110 2 1120 5 1160 1 1190 1 1199 1 1200 29 1250 1 1300 2 1350 1 1370 1 1385 1 1390 1 1400 6 1470 1 1500 21 1510 1 1520 1 1545 1 1600 13 1638 1 1695 1 1700 4 1730 1 1760 1 1790 1 1800 30 1830 1 1850 5 1890 1 1900 2 1960 1 2000 25 2030 1 2040 2 2100 6 2140 1 2160 1 2196 1 2200 8 2240 1 2250 1 2400 5 2480 1 2500 16 2600 1 2616 1 2680 2 2700 1 2730 1 2765 1 2790 1 2800 2 2805 1 2808 1 2840 1 2880 1 2900 1 3000 25 3040 1 3064 1 3200 2 3280 1 3360 2 3500 8 3590 1 3600 3 3740 1 3782 1 3800 1 3840 1 3970 1 4000 20 4080 1 4100 1 4153 1 4200 2 4250 1 4340 1 4451 1 4500 1 4560 1 4619 1 4800 3 5000 22 5205 1 5240 1 5280 1 5440 1 5640 1 5760 1 6000 3 6160 1 6240 1 6480 1 6540 1 6600 1 7000 6 7380 1 7430 1 7740 1 8000 12 8510 1 8840 1 9000 7 9500 1 9600 1 9745 1 10000 12 11000 1 12000 5 13500 1 14000 1 15000 2 15788 1 17964 1 18000 1 19000 1 20000 8 25000 3 26000 1 36000 1 50000 1 Sysmiss 6654 food received from government 'What was the total value of all food received as a gift from (….) in the last 12 months? (Government) (KShs) Indicate the value of any food received for free in this column against the relevant source. If for example, the household received one bag of maize, use the price of a bag of maize (within that area) as the estimate. Probe to find out how much the bag would have cots. 6270 6654 0 4893 15 1 16 2 20 3 25 1 30 5 34 1 40 11 45 3 50 6 51 1 53 1 54 2 55 1 60 11 64 2 70 6 72 2 74 1 75 3 78 1 80 16 90 7 95 3 96 2 100 48 110 1 114 1 115 1 120 18 125 4 130 2 133 1 136 1 138 1 140 7 144 1 145 1 149 1 150 30 155 1 160 16 162 1 164 1 169 1 170 5 172 1 176 1 180 14 187 1 195 1 196 1 198 1 200 73 202 1 204 1 205 1 210 1 214 1 215 2 216 1 220 2 225 4 226 1 234 1 239 1 240 16 243 1 245 1 250 19 252 1 255 1 258 1 260 3 265 1 266 1 270 3 273 1 280 4 281 1 285 1 300 64 306 1 310 5 314 1 315 1 320 2 325 1 329 1 334 2 335 1 340 1 345 1 350 6 352 1 353 1 360 3 370 3 374 1 380 1 400 47 404 2 410 1 415 1 420 6 426 1 430 2 440 2 445 1 450 12 456 1 460 1 465 1 467 1 475 1 480 1 485 1 500 80 510 2 520 2 525 1 542 1 550 2 555 1 560 2 570 2 575 1 580 2 590 1 600 41 610 3 615 1 620 1 640 2 650 2 665 1 675 1 680 1 700 26 705 1 720 4 728 1 730 3 738 1 740 4 745 1 750 5 760 3 765 1 790 1 800 36 820 4 836 1 840 3 850 8 863 3 870 1 880 1 885 1 890 3 895 1 900 23 915 1 920 1 945 1 950 1 955 1 980 2 990 1 1000 57 1050 2 1060 1 1080 1 1090 2 1119 1 1140 1 1160 1 1190 1 1200 37 1250 1 1260 2 1285 1 1300 8 1340 1 1345 1 1360 1 1400 3 1418 2 1460 1 1490 1 1500 35 1520 1 1600 7 1620 1 1700 2 1744 1 1790 1 1800 14 1840 2 1860 2 1865 1 1900 7 1910 1 1920 1 1940 1 1950 4 1970 1 1980 2 2000 41 2100 3 2181 1 2200 2 2255 1 2260 1 2300 6 2400 5 2405 1 2425 1 2440 4 2475 1 2500 12 2600 5 2700 1 2730 1 2800 4 2825 1 2840 1 2850 1 2875 3 3000 17 3045 1 3100 3 3130 1 3160 1 3200 6 3230 1 3250 1 3300 1 3350 2 3400 2 3420 1 3450 1 3470 1 3500 7 3600 1 3785 2 3800 1 3995 1 4000 12 4135 1 4200 1 4300 1 4320 1 4420 1 4500 5 4700 1 4750 2 4900 1 4916 1 5000 19 5120 1 5125 1 5225 1 5350 1 5500 1 6000 7 6345 1 6450 1 6500 3 7000 8 7200 1 7289 1 8000 4 8400 1 9000 9 9200 1 9210 1 9500 1 9835 1 10000 18 10335 1 10648 2 10750 1 10920 1 12000 2 12700 1 13000 3 14000 1 14160 1 14360 1 14390 1 14920 1 15000 1 16000 1 16080 1 16420 1 17460 1 18000 1 18030 1 18500 1 19000 1 19700 2 20000 4 20500 1 20890 1 20900 1 23000 1 30000 1 35200 1 45000 1 Sysmiss 6654 food received from corporate sector 'What was the total value of all food received as a gift from (….) in the last 12 months? (Corporate Sector) (KShs) Indicate the value of any food received for free in this column against the relevant source. If for example, the household received one bag of maize, use the price of a bag of maize (within that area) as the estimate. Probe to find out how much the bag would have cots. 6270 6654 0 6254 51 1 60 2 200 1 480 1 500 3 1000 1 1150 1 2000 1 3000 1 3120 1 4500 1 5000 1 30000 1 Sysmiss 6654 food received from outside kenya 'What was the total value of all food received as a gift from (….) in the last 12 months? (Outside Kenya) (KShs) Indicate the value of any food received for free in this column against the relevant source. If for example, the household received one bag of maize, use the price of a bag of maize (within that area) as the estimate. Probe to find out how much the bag would have cots. 6270 6654 0 6252 90 1 400 1 480 1 500 1 570 1 675 1 720 1 2000 2 3000 1 5000 1 10000 1 15000 1 18000 1 20000 1 60000 1 200000 1 450000 1 Sysmiss 6654 all kinds received from individual 'What was the total value of all other in-kind gifts received from (…) in the last 12 months? (Individual) (KShs) Record the value of any other in-kind gift received by the household or any member of the household within the last 12 months. Other in-kind mean any other gift other than those recorded under R03 and R04. If it was a service indicate the estimated value of the service. 6270 6654 0 4298 1 4 2 2 10 3 20 11 27 1 30 4 50 32 60 5 70 5 80 6 100 76 120 8 140 2 143 1 150 43 160 2 175 1 180 7 190 2 200 113 210 3 220 2 230 1 240 4 250 51 260 2 270 1 280 2 300 112 320 5 345 1 350 23 380 2 400 79 420 3 425 1 430 1 440 1 450 28 460 1 480 6 500 181 520 1 525 1 550 7 560 1 600 58 615 1 620 1 650 8 670 3 690 1 700 33 720 2 750 9 760 2 800 54 820 3 840 3 850 5 900 6 920 3 935 1 950 3 1000 164 1040 1 1070 1 1100 7 1120 1 1150 2 1200 37 1230 1 1250 2 1260 1 1280 1 1300 13 1400 12 1420 1 1500 74 1540 2 1600 10 1650 2 1690 1 1700 4 1750 2 1800 19 1880 1 1900 1 1920 1 2000 115 2020 2 2080 1 2086 1 2100 1 2200 4 2250 1 2300 2 2350 1 2360 1 2400 8 2450 1 2500 13 2600 3 2750 2 2793 1 2800 6 3000 79 3100 1 3200 2 3250 2 3300 2 3500 7 3600 3 3700 2 3750 1 3800 1 3900 2 4000 46 4200 5 4300 2 4400 1 4500 7 4620 1 4800 4 4900 1 5000 58 5050 1 5400 1 5500 4 5600 1 5700 1 5900 1 6000 26 6200 3 6300 1 6500 3 6600 2 6720 1 6800 1 6810 1 6900 1 7000 8 7200 2 7500 1 7580 1 7650 1 8000 12 8400 2 8500 1 9000 4 9200 1 9400 2 10000 30 10400 1 11765 1 12000 9 12400 1 13000 1 13510 1 14000 3 14200 1 15000 5 15600 1 17000 1 19400 1 20000 13 22000 1 22100 1 23250 1 24000 3 28050 1 30000 4 31500 1 33000 1 36000 1 40000 1 42000 1 45000 1 50000 7 60000 1 Sysmiss 6654 all kinds received from non-profit instititution 'What was the total value of all other in-kind gifts received from (…) in the last 12 months? (Non profit Institution) (KShs) Record the value of any other in-kind gift received by the household or any member of the household within the last 12 months. Other in-kind mean any other gift other than those recorded under R03 and R04. If it was a service indicate the estimated value of the service. 6270 6654 0 6152 40 1 50 1 90 1 100 4 120 2 200 6 235 1 250 4 300 10 350 2 380 1 400 2 450 1 500 8 560 1 600 2 700 1 720 1 750 1 800 1 900 2 1000 9 1200 1 1300 2 1340 1 1500 4 1600 4 1800 1 2000 6 2100 1 2400 1 3000 6 4000 1 4200 1 4800 1 5000 8 5760 1 6000 3 7000 2 8000 1 9000 1 10000 3 13600 1 14000 1 15000 1 20000 3 30000 1 Sysmiss 6654 all kinds received from government 'What was the total value of all other in-kind gifts received from (…) in the last 12 months? (Government) (KShs) Record the value of any other in-kind gift received by the household or any member of the household within the last 12 months. Other in-kind mean any other gift other than those recorded under R03 and R04. If it was a service indicate the estimated value of the service. 6270 6654 0 6098 80 1 120 6 144 1 150 5 160 1 180 3 200 8 213 1 220 1 240 6 250 7 280 2 300 8 307 1 340 1 380 1 399 1 400 3 450 4 460 2 480 6 485 1 500 9 520 1 530 2 550 1 570 1 600 8 630 1 640 1 650 2 720 1 738 1 750 1 785 1 800 3 850 1 863 2 900 1 960 1 1000 10 1070 1 1080 1 1200 5 1244 1 1300 1 1370 1 1400 1 1500 2 1800 5 2000 6 2250 1 2300 1 2400 1 2420 1 2500 2 2740 1 3000 6 3400 1 3600 2 4300 2 5000 3 6000 1 6300 1 10000 3 12000 1 20000 2 100000 1 Sysmiss 6654 all kinds received from corporate sector 'What was the total value of all other in-kind gifts received from (…) in the last 12 months? (Corporate Sector) (KShs) Record the value of any other in-kind gift received by the household or any member of the household within the last 12 months. Other in-kind mean any other gift other than those recorded under R03 and R04. If it was a service indicate the estimated value of the service. 6270 6654 0 6261 170 1 240 1 250 1 600 1 650 1 1000 2 3000 1 5000 1 Sysmiss 6654 all kinds received from outside kenya 'What was the total value of all other in-kind gifts received from (…) in the last 12 months? (Outside Kenya) (KShs) Record the value of any other in-kind gift received by the household or any member of the household within the last 12 months. Other in-kind mean any other gift other than those recorded under R03 and R04. If it was a service indicate the estimated value of the service. 6270 6654 0 6220 250 1 300 2 400 1 440 1 900 1 1000 2 1200 1 1500 2 1600 1 2000 1 2500 1 3000 2 4000 3 5000 3 6000 1 7000 1 10000 9 13000 1 15000 1 24000 1 32000 1 40000 1 50000 6 60000 1 100000 4 105000 1 Sysmiss 6654 given out gifts/cash 'Over the past 12 months, did household give out any gifts (in cash or in-kind) to any individuals/institutions? Indicate if the household donated any kind of gift (in cash or in kind) to individuals or other household in the last 12 months. 9021 3903 0 1 1 yes 7239 2 no 1781 Sysmiss 3903 amount given in cash as gifts 'What was the total value of all cash given as a gift to individuals/institution in the last 12 months? (KShs) Record the total amount given out in form of cash, cheque or money orders. 7247 5677 0 1215 1 4 2 4 5 1 10 4 15 1 20 14 24 2 30 8 40 10 50 82 60 9 70 4 75 1 80 13 90 3 96 2 100 214 110 1 120 24 130 2 140 3 150 87 160 1 175 1 180 10 190 1 200 372 210 3 216 1 220 6 225 1 230 2 240 15 250 43 270 1 280 2 288 1 300 258 305 1 310 1 320 4 336 1 340 3 350 24 360 11 380 3 390 1 400 132 420 3 430 1 440 1 450 19 460 2 480 11 500 527 510 1 520 5 530 1 540 1 550 7 560 3 570 1 580 3 590 1 600 128 620 1 624 1 640 1 650 4 660 1 680 3 700 77 720 2 730 1 731 1 744 1 750 6 780 1 800 80 820 1 840 2 850 2 860 1 870 1 880 1 890 2 900 24 920 1 940 1 950 3 960 7 980 1 1000 489 1080 1 1100 10 1140 1 1150 2 1160 1 1200 89 1240 1 1250 1 1300 17 1350 2 1380 1 1400 19 1425 1 1440 3 1450 1 1470 1 1500 166 1560 1 1600 23 1620 1 1650 1 1700 9 1720 1 1730 1 1750 3 1760 1 1800 28 1825 1 1840 1 1899 1 1900 1 1920 1 1930 1 1940 1 1960 1 2000 425 2085 1 2100 9 2120 1 2150 1 2160 1 2200 8 2240 2 2280 1 2300 5 2400 37 2420 1 2500 75 2550 1 2600 7 2700 2 2740 1 2800 12 2840 1 2880 1 2900 2 3000 291 3020 1 3040 1 3100 2 3200 7 3300 2 3350 1 3400 5 3430 1 3450 1 3490 1 3500 38 3600 26 3620 1 3700 1 3750 1 3800 3 3900 3 4000 145 4050 1 4200 4 4400 1 4480 1 4500 16 4550 1 4600 2 4700 1 4800 17 4900 1 4950 1 5000 306 5200 2 5300 2 5350 1 5400 2 5500 4 5800 2 5900 1 6000 168 6110 1 6120 1 6200 1 6300 1 6400 1 6500 4 6600 2 6650 1 6700 1 6720 1 6800 1 6960 1 7000 55 7100 1 7200 5 7300 1 7400 1 7500 4 7800 1 8000 65 8400 1 8440 1 8500 5 8640 1 8800 3 9000 17 9500 2 9600 8 9950 1 10000 203 10100 1 10400 1 10500 2 11000 8 11400 1 12000 89 12400 1 12500 1 13000 8 13500 1 13700 1 13920 1 14000 5 14400 3 15000 52 15100 1 15450 1 16000 7 16200 1 16500 1 16800 2 16900 1 17000 8 17500 1 17880 1 18000 27 18200 1 18600 1 19500 2 20000 102 20500 2 21000 1 21600 1 21630 1 22000 3 22500 1 23000 1 23650 1 24000 62 24200 1 25000 14 25500 1 26000 1 27000 3 27200 1 27500 1 28000 1 28800 1 29040 1 29200 1 30000 44 30200 1 31200 1 31700 1 32000 2 33400 1 34000 4 35000 8 36000 33 36600 1 37200 1 37500 1 40000 17 42000 2 43000 1 43600 1 45000 5 45200 1 45400 1 46000 2 47000 1 47800 1 48000 13 50000 34 51000 1 52000 1 54000 2 56500 1 59000 1 60000 22 60400 1 62000 1 64000 1 65000 1 66500 1 70000 7 71000 1 72000 8 75000 3 80000 9 81000 2 82000 1 84000 1 84500 1 89800 1 90000 2 91500 1 92000 1 95000 1 100000 21 101280 1 108000 1 109800 1 110000 1 111800 1 115600 1 120000 12 121500 1 130000 2 132000 1 140000 1 144000 1 150000 7 156000 1 156600 1 162000 1 180000 2 190000 1 200000 8 216000 1 260000 1 265000 1 300000 6 400000 1 500000 6 600000 1 800000 1 5000000 1 Sysmiss 5677 amount given in food as food 'What was the total value of all food given as a gift to individuals/institution in the last 12 months? (KShs) Put the total value of all gifts given out in form of food donations in the last 12 months. If the respondents only remembers the amount in volumes (e.g. bags, debes, packets etc) use the prices for similar measures to estimate the values. An approximate value is sufficient if the respondent cannot recall the actual value. If none write zero. 7247 5677 0 500000 1480.79600730112 10412.2304954368 amount given in food as in kind 'What was the total value of all other in-kind gifts to individuals/institutions in the last 12 months? (KShs) In this column enter the total value of any other donations not captured in column R07 and R08 over the period of 12 months. If none write zero. 7247 5677 0 4867 1 2 2 9 6 1 20 2 30 2 40 5 50 33 60 6 70 7 75 1 80 6 90 1 100 111 120 16 130 3 140 1 150 62 160 4 170 2 180 9 200 198 220 3 230 3 240 3 250 33 260 1 270 1 290 1 300 125 320 5 340 2 350 16 360 2 380 6 400 84 420 4 430 1 435 2 450 20 470 1 480 12 490 1 500 249 510 1 530 1 540 1 550 2 560 3 570 1 590 1 600 76 630 1 640 1 650 8 655 1 660 1 680 1 690 2 700 40 720 6 740 4 750 6 760 1 780 2 800 42 805 1 820 1 840 1 850 5 900 16 920 1 950 2 960 1 1000 215 1040 1 1050 2 1100 5 1145 1 1150 1 1160 1 1200 48 1260 1 1290 1 1300 2 1350 2 1360 1 1400 14 1450 1 1500 51 1600 12 1680 2 1690 1 1700 4 1750 1 1780 1 1800 13 1820 1 1850 1 1870 1 1900 1 2000 147 2086 1 2100 6 2200 3 2300 2 2360 1 2400 8 2500 18 2600 1 2700 1 2800 3 3000 102 3050 1 3200 2 3250 1 3300 2 3400 1 3500 9 3600 1 3650 1 3700 2 3840 1 4000 49 4100 1 4140 1 4200 1 4250 1 4400 1 4500 7 4560 1 4570 1 4800 4 4950 1 5000 95 5100 1 5160 1 5200 3 5450 1 5500 2 5600 2 6000 30 6200 1 6300 1 6400 1 6450 1 6500 1 6700 1 6800 1 7000 9 7200 1 7500 2 7800 1 8000 22 8130 1 8520 1 9000 1 9650 1 10000 40 10200 1 10500 1 11000 1 11300 1 12000 9 13000 4 13400 1 13800 1 14000 2 15000 11 15180 1 16500 1 16800 2 17600 1 18000 2 19600 1 20000 12 22000 1 22500 1 24000 3 24500 1 25000 1 25500 1 26400 1 26600 1 28000 1 29000 1 30000 10 33000 1 36000 1 40000 2 43000 1 45000 1 50000 8 60000 1 70000 1 80000 1 100000 4 124664 1 150000 1 180000 1 200000 3 300000 1 350000 1 500000 1 600000 1 1000000 1 Sysmiss 5677 12924 0 10.1180000698368 3410.73285087232 475.399997882368 414.489979650048 Cluster Number 12848 0 1 1339 666.823938801664 386.33700589568 hhld serial number 1 - 10? 12848 0 1 10 5.46199983620096 2.85900000985088 received any other income Has any member of your household received any other income (NOT MENTIONED ELSEWHERE) in the past 12 months? This question enables the interviewer to establish if any member of the household received any income not captured in the other sections. If none, write 2 in the box and go to the next section. 12848 0 0 4 1 yes 1457 2 no 11387 receive any regular income Do any members of your household receive any regular income from savings, interest or other investment income? If any member(s) receive any regular income (e.g. interest from bank deposits, dividends from holding of corporate ownership of shares, profits from investments) record 1 and proceed to S03, if no record 2 and skip to S04. 1461 11387 0 6 1 yes 274 2 no 1181 Sysmiss 11387 amount hhld receive How much does your household receive in savings, interest or other investment income? (KShs) Under this column record the total amount received by all members of the household from the sources in S02. 280 12568 0 40 2 1 4 1 90 1 99 1 100 1 120 1 150 1 200 7 210 1 230 1 250 3 290 1 300 1 382 1 400 7 450 1 500 4 530 1 600 2 680 1 700 1 750 1 800 1 850 1 900 2 1000 6 1100 1 1200 4 1237 1 1300 1 1500 6 1600 1 1800 2 1900 1 2000 10 2100 1 2144 1 2200 1 2300 2 2400 2 2500 3 2650 1 2700 1 2800 1 3000 10 3500 3 3600 2 3700 1 3800 1 4000 7 4182 1 4200 2 5000 14 6000 7 6300 1 7000 3 7500 1 8000 9 9500 2 10000 7 10700 1 11000 2 12000 5 12800 1 13000 2 13200 1 14000 1 14550 1 15000 3 15300 1 15600 1 18000 2 20000 9 20600 1 21200 1 23000 2 24000 3 25000 2 30000 3 36000 2 40000 2 40626 1 42000 1 46000 1 50000 3 54000 1 60000 4 61200 1 65000 1 70000 1 72000 1 84000 2 100000 5 156000 1 170000 1 180000 1 200000 2 240000 1 250000 1 300000 1 360000 1 400000 1 1000000 1 Sysmiss 12568 amount member receives in pension Do any members of your household receive any regular income from a pension? 1461 11387 0 7 1 yes 208 2 no 1246 Sysmiss 11387 amount of pension In this column enter the total amount received by the household from pension incomes i.e. sum of all the amounts received by all persons, who receive pension, of this household. 215 12633 0 10 300 1 350 1 400 1 500 5 560 1 600 1 691 1 700 3 766 1 800 2 830 1 900 2 925 1 992 1 994 1 1000 4 1030 1 1100 2 1200 2 1260 1 1280 1 1345 1 1400 1 1500 10 1568 1 1600 1 1700 2 1800 1 1940 1 2000 13 2080 1 2100 1 2200 2 2250 1 2300 3 2400 1 2500 5 2505 1 2637 1 2700 1 2712 1 2722 1 2800 1 2970 1 3000 14 3017 1 3055 1 3100 1 3200 2 3580 1 3600 3 3666 1 4000 7 4182 1 4340 1 4350 1 4500 3 5000 14 5407 1 5432 1 5575 1 5670 1 5732 1 6000 8 6100 1 6257 1 6480 1 6500 1 7000 3 7400 1 8000 5 8375 1 8400 1 8750 1 8880 1 9000 1 9700 1 9999 1 10000 5 11000 1 11600 1 12000 2 12424 1 12911 1 13000 1 15000 1 17000 1 17763 1 20000 4 23000 1 24000 1 26400 1 30000 1 32000 1 36000 1 48000 1 50000 1 51120 1 60000 2 78446 1 112000 1 130000 1 150000 1 190000 1 Sysmiss 12633 amount member receives in rental property Do any members of your household receive any regular income from rental of property 1461 11387 0 7 1 yes 616 2 no 838 Sysmiss 11387 amount of rental propert on residential How much does your household usually receive in rental income per month? (RESIDENTIAL) KShs 623 12225 0 222 1 1 6 1 100 1 150 1 200 4 250 2 300 10 360 1 400 7 450 2 500 10 600 10 666 1 700 5 750 2 800 8 833 1 900 6 1000 19 1080 1 1100 3 1200 13 1250 2 1300 2 1400 3 1500 8 1550 1 1600 5 1650 1 1700 1 1750 1 1800 4 2000 16 2100 2 2250 1 2400 8 2500 9 2600 1 2700 1 2900 1 3000 17 3150 1 3200 3 3350 1 3400 1 3500 5 3600 4 3750 1 4000 15 4100 1 4200 1 4500 5 4600 1 4700 2 4800 6 5000 10 5100 2 5400 1 6000 14 6200 1 6500 1 6600 1 7000 6 7200 3 7900 1 8000 9 8400 1 8600 1 9000 2 9330 1 9600 1 9900 1 10000 16 10500 2 10800 1 11000 2 12000 11 12500 1 13000 1 13200 1 14000 3 14400 3 14800 1 15000 10 15600 1 16000 2 17000 2 17800 1 17900 1 18000 1 19200 1 20000 6 22000 1 24000 3 27000 2 28000 1 30000 2 33600 1 35000 2 40000 4 45600 1 48000 2 54000 1 60000 5 70000 1 74900 1 78000 1 96000 1 100000 1 120000 1 143000 1 144000 1 180000 1 200000 2 564000 1 1400000 1 Sysmiss 12225 amount of rental propert on commercial How much does your household usually receive in rental income per month?(COMMERCIAL) KShs 623 12225 0 489 72 1 100 1 150 1 200 4 300 5 350 2 400 2 500 10 600 3 700 4 800 3 850 1 900 2 1000 11 1100 1 1200 3 1400 2 1500 4 1600 2 1700 1 2000 6 2500 4 2800 1 3000 9 3600 1 4000 4 4200 1 4500 1 5000 5 6000 4 7000 2 7200 1 8000 4 8400 1 9000 1 9500 1 10000 2 10500 1 10800 1 11000 1 12000 1 13500 1 14000 1 15000 1 18000 1 19900 1 20000 2 21100 1 21600 1 22000 1 25000 1 30000 1 36000 1 40000 1 45000 1 150000 1 300000 1 385000 1 1700000 1 Sysmiss 12225 amount of rental propert on land How much does your household usually receive in rental income per month? (LAND) KShs 623 12225 0 503 50 1 66 1 100 6 125 2 130 1 138 1 140 1 141 1 150 1 167 3 170 2 200 4 225 1 250 4 300 1 333 1 340 1 400 2 500 4 590 1 600 1 670 1 700 1 750 1 800 1 1000 10 1200 2 1250 2 1300 1 1500 2 1625 1 1800 1 2000 9 2400 2 2500 4 2666 1 2800 1 3000 7 3400 1 4000 4 5000 7 6000 3 8000 4 10000 3 12000 1 12500 1 14000 1 15000 1 16000 1 19000 1 25000 1 28000 1 30000 3 Sysmiss 12225 amount of rental propert on sub soil assets How much does your household usually receive in rental income per month? (SUB SOIL ASSETS) KShs 623 12225 0 617 600 1 700 1 800 2 1500 1 2000 1 Sysmiss 12225 amount of rental propert on other property How much does your household usually receive in rental income per month? ('OTHER PROPERTY (Specify)) KShs 623 12225 0 596 150 1 250 1 260 1 300 1 500 1 900 1 1050 1 1200 3 1700 1 1750 1 2000 1 2800 1 3000 1 4000 1 5000 1 8000 1 10000 1 15000 1 17000 1 18000 1 25000 1 36000 1 60000 1 180000 1 800000 1 Sysmiss 12225 receive any regular income of any other type Do any members of your household receive any regular income of any other type? Sum (or aggregate) of all incomes (monthly) from rental properties as in S06. 1461 11387 0 13 1 yes 132 2 no 1315 3 1 Sysmiss 11387 type of income - 1 What type of income? (Describe) Type 1 The column seeks to establish if there is any other source income other those recorded in S02 and S06. These sources may include incomes from copyrights (e.g. books, music, etc) royalties, artistic assets, staggered payments from insurance policy, court judgement etc. If NO then next section. 115 0 1 4 20000 1 ALLOWANCE FRM CHURCH 1 BOAT FOR HIRE 1 BREWING CHANGAA 1 BROTHER's HELP 1 C0NTRIBUTION 1 CARETAKER 1 CASH FROM TEA 1 CHANGAA BREWING 1 CHARCOAL BURNING 2 CHURCH SUPPORT 1 COFFEE DUES 1 CONSULTATION IN MED 1 Commission 1 DEPENDANT'S MONEY 1 DIVIDEND 2 DIVIDENDS 6 DRIVER 1 EMPLOYMENT 1 FARM LABOUR 1 FARM LABOURER 6 FARMING 3 FROM HUSBAND 3 FROM SONS 1 From Husband 1 GRATUITY 1 HOLY ROSARY SISTERS 1 HUSBAND 1 HUSBAND's ASSISTANCE 1 1 INCOME FROM HUSBAND 3 INCOME FROM WIFE 1 KIOSK 1 LEASING W-MACHINE 1 LECTURING PARTTIME 1 1 MATATU 1 MERRY-G0-ROUND CASH 1 MERRY-GO-ROUND 1 MILK SALES 1 Mechanic part-time 1 NATIONAL EXAM MARKIN 1 NURSERY TEACHER 1 OX PLOUGH 2 PART TIME JOB 1 PART-TIME CLEANER 1 1 1 POWERSAW 1 RENTING LAND 1 REPAIRING CLOTHES 1 RETAIL KIOSK 1 RETIAILCLOTHINGSALER 1 SALARY 1 SALE OF MILK 1 SALE OF MTUMBA 1 SORTING ALLOWANE 1 TAILORING 1 TEA 2 TEA BONUS 2 TEA CASH CROP SALES 1 TEA EARNINGS 1 TEA FARMING 1 TEA LEAVES SALES 1 TEA PICKING 1 TEA PLANTATION 1 TEA SELLING 1 TEACHING 1 TREE NURSERY 1 TREES 1 UNCLE'S GIFT 1 car hire services 1 clinic 1 1 farming 3 from employed son 1 group contributions 1 leasing land 1 money from husband 1 poole 1 pservice 1 registration of doc 1 salary 1 selling firewood 2 spouse income 1 tea 1 tea farming 1 type of income - 2 What type of income? (Describe) Type 2 The column seeks to establish if there is any other source income other those recorded in S02 and S06. These sources may include incomes from copyrights (e.g. books, music, etc) royalties, artistic assets, staggered payments from insurance policy, court judgement etc. If NO then next section. 10 0 0 5 1200 1 3000 1 CO-OP SOCIETY DIVIDN 1 1 REMITANCE 1 amount received in income - 1 How much does your household usually receive from this other income(s) per month in KSHS? Type 1 Identifies the type of income recorded under S10. List the main 2; this should be the types that bring in the highest incomes. 124 0 1000 12 10000 6 10440 1 1161 1 1200 2 12000 1 130000 1 135 1 135000 1 150 1 1500 7 15000 2 1600 2 17000 1 18000 1 200 2 2000 18 20000 2 208.3 1 21600 1 229350 1 24000 2 30 1 300 3 3000 6 3333 2 350 1 3500 2 36000 1 38000 1 400 1 4000 3 450 1 500 10 5000 4 50000 1 5515 1 5700 1 600 3 6000 3 60000 1 700 1 7000 1 70000 1 720 1 80 1 800 1 8000 3 9000 2 amount received in income - 2 How much does your household usually receive from this other income(s) per month in KSHS? Type 2 Identifies the type of income recorded under S10. List the main 2; this should be the types that bring in the highest incomes. 9 0 0 8 2000 1 any other non regular income Sum (aggregate) of all incomes (monthly) from sources under S09. 1461 11387 0 6 1 yes 510 2 no 945 Sysmiss 11387 type of income - 1 What type of income (Describe) Type 1 496 0 1 1 10 2 100000 1 1120 1 2700 1 3 1 3000 1 5000 1 A.R.T 1 ADM TRD MEDICINE 1 1 AID FROM OUT COUNTRY 1 ALMONY 1 ANIMAL CART 1 ASWEKAA BUSINESS 1 ATWECH WOMEN GROUP 1 B0NUS FROM TEA 2 BAMBUA TAFRIJA 1 BANANA SELLING 2 BODA BODA GRP. INCOM 1 BONDS 1 BONUS 2 BONUS FROM SOCIETY 1 BONUS FROM TEA 12 BONUS FROM TEA SALES 1 BREWING 1 BRICK MAKING 1 BRICK SALES 1 BRICKS 1 BUCH NYIMINE END YR. 1 BUILDING & CONSTR. 1 1 CAR SALE 1 CASUAL 5 CASUAL EMPLOYMENT 1 CASUAL FARM LABOURER 2 CASUAL LABOUR 35 CASUAL LABOURER 5 CASUAL ON HIRE,FARMS 1 CASUAL WAGE 1 CASUAL WAGES 7 CASUSL LABOURER 1 CHARCOAL BURNING 5 CHARCOAL-BURNING 1 CHILD WELFARE BENEFI 1 CHOPPING FIREWOOD 1 CIRCUMCISER 1 CO-OP DIVIDEND 1 CO-OP. DIVIDEND 1 COFEE INCOME 1 COFFE PAYMENTS 2 COFFEE EARNINGS 1 CONTRACT JOBS 2 CONTRACT LABOUR 1 COPERATIVE SHARES 1 COUNSELLING 1 Carcoal Burner 1 1 Charcoal Burner 4 Charcoal Selling 1 Closed an Account 1 DAIRY 1 DIV-UKULIMA CO-OP 1 DIV-UKULIMA SACCO 1 DIVIDEND 10 DIVIDEND FROM SHARES 1 DIVIDEND-MSC-MUMIAS 1 DIVIDENDS 15 DIVIDENDS-UKULIMA 1 DIVIDENT 8 DIVIDENTS 1 DOWRY 2 Dividends 1 Divident 2 Dividents 3 E.C.K PRESIDING OFF 1 EMPLOYMENT 1 END YEAR INCOME 3 EXAM INVIGILATION 1 FACILITATION 1 FACTORY MAINTANCE 1 FARM LABOUR SERVICES 1 FARM LAND LEASING 1 FARM RENTED 1 FARM-LABOURER 1 FARMING 2 FARMING CONTRACT 2 1 FOOD KIOSK COOK 1 FRIEND 1 FROM A TEA FARM 1 FROM MAIZE SALES 1 FROM SUGARCANE 1 FROM- INLAW 1 Fishing 3 Fron son 1 GIFT 1 GIFT FROM DAUGHTERS 1 1 GOLDEN HANDSHAKE 1 GRATUITY 1 GROUP SOCIAL WELFARE 1 HANDICRAFT 1 HANDOUT 1 HARAMBEE 1 1 HELP FROM DAUGHTER 1 HELP FROM SON 1 HERDING COWS TO MKT 1 HIRING OUT OXEN 2 HOTEL SERVICES(COOK) 1 1 HUSBAND 1 INCOME FROM HUSBAND 6 INTEREST EARNINGS 1 JIRANI GROUP 1 JOMOYIE WOMEN GRP. 1 JUA KALI 1 KATECO-DIVIDEND 1 KCB-DIVIDENDS 1 KINDA EMAKEYO END YR 1 KINDA WOMEN GROUP 3 KINDA WOMEN GRP 1 Kenya Women Trust 1 LABOUR 4 LAND BROKERAGE 1 LAND LEASE 1 LAND LEASE INCOME 2 LAND LEASING 1 1 LEASE 0F LAND 1 LEASE A FARM. 1 LEASE OF COFFEE TREE 1 LEASE OF FARM 1 LEASE OF LA ND 1 LEASE OF LAND 14 LEASING FARM LAND 1 LEASING OXEN 1 LEAVE ALLOWANCE 1 LOTTERY 1 1 MARKING KCSE EXAMS. 1 MATATU INDUSTRY 1 MATATU OPERATOR 1 MERRY GO ROUND 15 MERRY-GO-ROUND 1 MONEY FROM HUSBAND 1 MOSONRY 1 MUSCO-SHARES 1 MWALIMU 1 MWALIMU SACCO 2 Merry Go Round 1 NYALEGO MOYIE 1 NYAMRERWA GRP. 1 NYI SAKWA END YEAR 1 1 OGONGO WOMEN GRP. 1 OSIEPE GROUP 1 OXEN PLOUGHING 1 P. FROM CHARCOAL 1 PART TIME JOB 1 PASTORS ALLOWANCES 1 PAYEMENT OF DEBT 1 PLAITING 1 POLLING AGENT 1 POULTRY 1 POWER SAW 1 PRAYING FOR PEOPLE 1 PRIVATE CAR HIRE 1 PRIVATE SERVICES 1 PROJECTS 1 Proceeds from Ardeny 1 RADIO,TABLE, 1 REAL ESTATE AGENT 1 REGULAR ALLOWANCE 1 REMMITANCE 1 RENTAL HOUSE 1 RENTAL OF FARM 1 RENTAL OF FARM LAND 1 REPAIR WEIGH MACHINE 1 1 1 RID WIYI END YEAR 1 SACCO BONUS 2 SALARY FROM EMPLOYER 1 1 SALE (COMPANY ASSET) 1 SALE OF ARROWROOTS 1 SALE OF AVOCADOES 1 SALE OF BNNS & PPWS 1 SALE OF CROPS 1 SALE OF FARMLAND 1 SALE OF FODDER 1 SALE OF FRENCH BEANS 1 SALE OF GROUP PROPTY 1 SALE OF KALE SEEDLIS 1 SALE OF LAND 1 SALE OF PASTURE 1 SALE OF PLOT 1 SALE OF TIMBER 1 SALE OF TREE 2 SALE OF TREES 2 SALE OF WIMBI 1 SALE OF WOOD 1 SAND HARVESTING 1 SELF HELP GROUP 1 1 SELL 0F A COW 1 SELL OF CHARCOAL 1 SELL OF FARM 1 SELL OF FODDER 1 SELL OF LAND 1 SELL OF SISAL ROPES 1 SELLING BANANAS 1 SELLING CHANG'AA 1 SELLING FIREWOOD 1 SELLING OF FIREWOOD 1 SELLING PAPYRUS 1 SELLING SAND 1 SELLING firewood 1 SEMINARS 1 SHARE OF WOMEN GROUP 1 SHORT TIME CONTRACT 1 SIAYA TRADERS SACCO 1 SOCIAL WELFARE 1 SOCIAL WELFARE GROPS 1 SOCIAL WELFARE GRP 1 SOLD CHICKEN 1 SOLD FARM 1 SOLD HARVESTED MAIZE 1 SOLD LAND 1 SOLD MAIZE GRAIN 1 SOLD MAIZE GRAINS 1 SOLD SHARES 1 SPORTS-TORNAMENT 1 ST.JOSEPH END YR. 1 STIPENDS 1 STIPENT 1 SUBLETTING LAND 1 SUGARCANE BONUS 1 Sale of hides&skins 1 1 TAILORING 1 2 TEA BONUS 11 TEA CASH CROP BONUS 1 TEA LEAVES BONUS 1 TEA PICKING 1 TEA SALE BONUS 1 TEA SALES BONUS 1 TENDER 1 TIMBER SALES 1 TIP AT WORK 1 TIPS-60000 1 TRADE 1 TREATMENT USING HERB 1 TREE SELLING 1 1 TUITION 2 TUSHAURIANE W. GRP. 1 TYPING 1 UKWALA WOMEN GRP. 1 WAGE & S/ALLOWANCE 1 WAGES 2 WELFARE GROUP 1 WELL DIGGING 1 WESTERN UNION 1 WOMEN GROUP 1 WOOD CARVINGS 1 WORK RELATED 1 Welfare group 1 YAW PACHI END YR. IN 1 accident compensatin 1 agricultural 1 building&const 1 burning charcoal 1 carsual-farming 1 cash 1 casual 5 cattle business 1 daughter 1 devidedes (KBL) 1 divided 1 dividends 3 farm-labourer 1 gift from relative 1 hair dressing 1 harvesting maize 1 help from a sister 1 help from brother 1 help from son 1 labour constructor 1 labour salary 1 lease farm 1 lease land 3 lease of farm 2 lease of land 9 leasing 1 masonary 1 proceed from land 1 retail shop 1 retirement benefits 1 sale of sugarcane 1 selling maize 1 small scale busines 1 son 1 standard sacco 1 weeding sugarcane 1 wheelbarrow for hire 1 women group 1 type of income - 2 What type of income (Describe) Type 2 87 0 0 27 0000000 1 2400 1 2990 1 3000 1 40000 1 500 1 5000 1 800 1 CASUAL LABOUR 4 CONTRACT 1 DIVIDENDS 1 DIVIDENT 2 FARM LABOURER 1 Firewood Collecter 3 Firewood Selling 1 GARDENING 1 GIFT 1 GIVEN BY UNTIE 1 GK 1 GRANT 1 HERBALIST 1 HUNTING 1 KCB DIVIDEND 1 1 MERRY GO ROUND 9 POTTERY 1 SALARY 1 SALE OF FARM 1 SALE OF MACADAMIA 1 SALE OF MAIZE 1 SALE OF ROPES 1 SALE OF SEEDLINGS 1 SALE OFTREES & CROPS 1 SELL OF SEEDLINGS 1 SELLING FIREWOOD 2 SOCIAL-WORK 1 SPEAKER 1 STONES SALES 1 TABLE BANKING 1 TRANSPORT OF GOODS 1 VETERINARY 1 WAGES AS CASUAL 1 brother 1 food vendor 1 trowlley for hire 1 amount received in non regular income How much in total did the HH receive in form of this income(s) (Non Regular) in the last 12 months? (KShs) 516 12332 0 19 1 1 65 1 100 2 150 2 200 6 220 1 234 1 252 1 260 1 300 8 400 3 450 1 500 11 525 1 550 1 600 5 700 5 750 1 800 8 900 3 960 1 1000 22 1080 1 1120 1 1200 13 1250 1 1290 1 1300 2 1400 4 1450 1 1500 14 1540 1 1600 6 1700 1 1800 7 1900 1 2000 20 2200 1 2250 1 2300 1 2350 1 2400 9 2500 6 2600 1 2800 1 2880 1 2900 1 3000 23 3020 1 3150 1 3228 1 3400 4 3500 3 3600 3 3800 3 3936 1 4000 21 4200 1 4320 4 4500 5 4600 1 4800 1 5000 29 5080 1 5400 2 5690 1 5700 1 5900 1 6000 12 6400 1 6410 1 6500 1 7000 5 7100 1 7200 5 7300 1 7500 1 8000 10 8333 1 9000 4 9300 1 10000 19 10376 1 10800 1 11000 3 11300 1 11500 1 12000 15 12200 1 12350 1 12500 1 13000 4 13700 1 14000 3 14100 1 14150 1 14200 1 14400 1 15000 5 15600 2 15700 1 16000 1 16350 1 17000 1 17280 1 18000 8 20000 13 22000 1 22960 1 24000 3 24500 1 25000 3 25250 1 26000 2 26400 1 27000 2 30000 4 31200 1 32000 2 33000 1 35000 1 36000 6 39000 1 40000 6 40500 1 43200 1 45000 1 50000 3 51030 1 52000 1 52200 1 53000 1 58752 1 60000 2 68000 1 70000 1 74300 1 80000 1 80500 1 82000 1 86400 1 95000 1 100000 3 120000 1 140000 1 150000 1 176454 1 200000 2 276000 1 280000 1 420000 1 500000 1 600000 1 1200000 1 Sysmiss 12332 12848 0 11.0999998824448 3922.60000677888 529.49296349184 462.609987928064 Serialised cluster number 82506 0 1 1339 613.914974879744 349.036993314816 Serialised HH number 82506 0 1 10 5.43699977109504 2.85499998601216 Shock CODE 82506 0 101 Drought/Floods 5405 102 Crop Diseases/Crop Pests 3376 103 Livestock died/Stolen 4845 104 Household business failure,Non agricultural 3628 105 Loss of Employment, Salaried 3333 106 End of Regular Assistance 2988 107 Large in sale prices for crops 3499 108 Large rise in prices for Food 6587 109 Large rise in agricultural input prices 3876 110 Severe water shortage 4035 111 Chronic/Severe illness/accident of HH member 5163 112 Birth in Household 2917 113 Death of Household Head 3025 114 Death of Working Member 2821 115 Death of other family member 5083 116 Break-up of Household 2928 117 Jailed 2847 118 Fire 2827 119 Carjacking/Robbery/Burglary/Assault 3188 120 Dwelling Damaged 2818 121 HIV/AIDS 2684 122 Other1 2756 123 Other2 1877 severely affected Over the past five years, was your household severely affected negatively by any of the following events? GO THROUGH ENTIRE LIST BEFORE PROCEEDING TO T03. 82506 0 0 25 1 yes 25657 2 no 56824 Significant shocks Household has experienced Rank the three most significant shocks you experienced 25682 56824 1 Most Severe 11189 2 Second Most Severe 8499 3 Third Most Severe 5969 9 Not Stated 25 Sysmiss 56824 estimated value of shock What was the estimated value lost due to this shock? (KShs) 25682 56824 0 9999999 26986.437148672 140404.737441792 shock caused reduction in income Did [THIS SHOCK] cause a reduction in household income and/or assets? 25682 56824 1 income loss 10665 2 asset loss 3798 3 loss of both 7246 4 neither 3927 9 Not stated 46 Sysmiss 56824 who affected by shock '[THIS SHOCK] affected: [READ] 25682 56824 1 own hh only 8828 2 some other hh too 5692 3 most hh in community 4522 4 all hh in community 6592 9 Not Stated 48 Sysmiss 56824 years shock occured How long ago did [THIS SHOCK] occur? (YEARS) 22156 60350 1 5575 2 6138 3 4814 4 2992 5 2627 9 10 Sysmiss 60350 months shock occured How long ago did [THIS SHOCK] occur?(MONTHS) 10853 71653 1 988 2 1469 3 1159 4 1338 5 1007 6 1837 7 552 8 1042 9 629 10 446 11 334 99 52 Sysmiss 71653 response to shock - 1 What did you do in response to [THIS SHOCK] to try to cope / regain your former welfare level? 1st [LIST UP TO 3 BY ORDER OF IMPORTANCE, CODES AT RIGHT.] 25411 57095 1 25 1 spent cash savings 6621 2 217 3 394 4 sold farmland 146 5 rented out farmland 160 6 sold animals 2596 7 sold more crops 467 8 2718 9 236 10 started a new business 498 11 54 12 350 13 borrowed money from money 675 14 borrowed money from money lender 118 15 127 16 159 17 202 18 received help from international ngo 99 19 535 20 2115 21 reduced food consumption 1734 22 consumed lower cost, but less preferred foods 664 23 reduced non-food expenditures 594 24 spiritual effort - prayer, sacrifices, consulted diviner 1781 25 other 2151 response to shock - 2 What did you do in response to [THIS SHOCK] to try to cope / regain your former welfare level? 2nd [LIST UP TO 3 BY ORDER OF IMPORTANCE, CODES AT RIGHT.] 13506 69000 1 spent cash savings 1258 2 157 3 241 4 sold farmland 71 5 rented out farmland 83 6 sold animals 1142 7 sold more crops 260 8 1246 9 289 10 started a new business 279 11 38 12 172 13 borrowed money from money 638 14 borrowed money from money lender 100 15 75 16 222 17 223 18 received help from international ngo 144 19 554 20 1682 21 reduced food consumption 1153 22 consumed lower cost, but less preferred foods 1336 23 reduced non-food expenditures 1028 24 spiritual effort - prayer, sacrifices, consulted diviner 804 25 other 311 Sysmiss 69000 response to shock - 3 What did you do in response to [THIS SHOCK] to try to cope / regain your former welfare level? 3rd [LIST UP TO 3 BY ORDER OF IMPORTANCE, CODES AT RIGHT.] 6071 76435 1 spent cash savings 272 2 47 3 77 4 sold farmland 15 5 rented out farmland 18 6 sold animals 282 7 sold more crops 48 8 376 9 58 10 started a new business 90 11 44 12 74 13 borrowed money from money 249 14 borrowed money from money lender 64 15 38 16 139 17 86 18 received help from international ngo 73 19 353 20 607 21 reduced food consumption 522 22 consumed lower cost, but less preferred foods 722 23 reduced non-food expenditures 1199 24 spiritual effort - prayer, sacrifices, consulted diviner 534 25 other 84 Sysmiss 76435 82506 0 11.0999998824448 3922.60000677888 475.60001585152 404.550989119488 Serialised cluster number 14149 0 1 1339 664.564047806464 389.935987163136 Serialised HH number 14149 0 1 10 5.45400012406784 2.85599990808576 14149 0 1 2 1.65900007243776 0.474 4827 9322 0 14 1.34899998654464 0.876 'What are the names of the persons or institutions from whom you or anyone else in your household borrowed over the past 12 months? LIST ALL NAMES BEFORE GOING TO THE NEXT QUESTION. The names of person(s) or institutions who lend to the members of the household. E.g. if somebody from the household borrowed from a friend from outside the household called John, while another member borrowed from KCB then list John and KCB. 4695 0 CODE SOURCE OF LOAN USE CODES AT LOWER RIGHT Using the codes provided (lower right of the page) indicate the code of the source of the loan. E.g. 01 for KCB and 07 for John 4827 9322 1 99 1 COMMERCIAL BANKS 229 2 MICRO-FINANCE INST 195 3 BUILDING SOC /MORTGAGE 11 4 INSURANCE COMPANIES 6 5 SACCOS 646 6 OTHER FINANCIAL INST 67 7 2230 8 GROCERY/LOCAL MERCHANT 532 9 MONEY LENDER (Shylock) 89 10 EMPLOYER 120 11 RELIGIOUS INST 66 12 NGO 9 13 SELF-HELP GROUPS 474 14 OTHER (Specify 147 99 Not stated 6 'Which house-hold member was respons-ible for the loan? ID CODE Record ID code of the person who borrowed. The ID Code should correspond to the source from which the member borrowed. If the person borrowed from more than one source indicate his/her ID Code against all the sources. 4827 9322 1 99 1.431000055808 3.77900012404736 Reason for not asking loan is a difficult question; so do probe to get an accurate response. Do not lead respondent. Let respondent tell interviewer main use of loan even if loan had several uses. Establish the purpose for which the loan was borrowed. Thus if a member borrowed for purposes of buying land, record 4 in the row corresponding to his ID Code. 4827 9322 1 99 1 Subsistence needs 1698 2 Medical cost 715 3 School fees 804 4 Ceremony/Wedding 128 5 Purchase land 101 6 Purchase agricultural inputs 280 7 Other business inputs 542 8 Purchase agricultural Machinery 11 9 Purchase/Constructioion of dwelling 208 10 335 99 Not Stated 5 How much was borrowed? ENTER THE VALUE OF ITEMS ACQUIRED ON CREDIT 4827 9322 0 8000000 36874.4517861376 234364.084420608 When did you get the loan? Indicate the month and the year when the member acquired the loan, e.g. if a person got the loan in August 2004, then put 08 in the for the month and 2004 for the year. 4827 9322 1 99 1 JAN 567 2 FEB 449 3 MAR 371 4 APR 452 5 MAY 418 6 JUN 412 7 JUL 362 8 AUG 486 9 SEP 340 10 OCT 257 11 NOV 315 12 DEC 361 When did you get the loan? Indicate the month and the year when the member acquired the loan, e.g. if a person got the loan in August 2004, then put 08 in the for the month and 2004 for the year. 4819 9330 3 2006 1983.7019488256 205.032997781504 Rate of interest per annum 1637 12512 0.03 800 20.0689997316096 51.4679990386688 Repayment period of loan in months Duration within which the loan was to be re-paid. If for example the loan was to be paid within 3 years, put 36 in the 1st cell of U10. 3478 10671 1 60 9.2110002847744 11.4119998963712 How much is outstanding (awaiting to be repaid)(KShs) (GO TO NEXT LOAN. WHEN ALL LOANS, DONE »U12) Record the balance (of the initial loan) that is still unpaid e.g. if the loan was Ksh. 100,000 and Ksh. 40,000 has already been paid back then the outstanding amount is 100,000-40,000 = 60,000. 4827 9322 0 7000000 22313.378512896 155182.268678144 'During the last 12 months, did you try to borrow from someone outside the household or from an institution and were turned down? IF =3 END INTERVIEW If a member of the household had during the last 12 months attempted to borrow (from outside the household) but was denied a loan. If yes, put 1. If no put 2 and skip to U14. If still waiting for results put 3 move to next Section. 9322 4827 1 9 1 Yes 805 2 No 8326 3 still waiting 139 9 Not Staed 52 'Who turned you down? (1st) LIST UP TO 2. Using the codes provided (lower right) list the code of the individual/institution who turned down the loan request to the member. E.g. if a friend and a bank say Barclays turned the member down put 4 in the 1st cell and 10 in the 2nd cell. 803 13346 1 14 1 COMMERCIAL BANKS 58 2 MICRO-FINANCE INST 46 3 BUILDING SOC /MORTGAGE 4 4 INSURANCE COMPANIES 2 5 SACCOS 49 6 OTHER FINANCIAL INST 17 7 452 8 GROCERY/LOCAL MERCHANT 54 9 MONEY LENDER (Shylock) 23 10 EMPLOYER 18 11 RELIGIOUS INST 5 12 NGO 9 13 SELF-HELP GROUPS 45 14 OTHER (Specify 21 99 Not stated 0 'Who turned you down? (2nd) LIST UP TO 2. Using the codes provided (lower right) list the code of the individual/institution who turned down the loan request to the member. E.g. if a friend and a bank say Barclays turned the member down put 4 in the 1st cell and 10 in the 2nd cell. 182 13967 1 14 1 COMMERCIAL BANKS 7 2 MICRO-FINANCE INST 12 3 BUILDING SOC /MORTGAGE 2 4 INSURANCE COMPANIES 0 5 SACCOS 6 6 OTHER FINANCIAL INST 4 7 44 8 GROCERY/LOCAL MERCHANT 47 9 MONEY LENDER (Shylock) 19 10 EMPLOYER 10 11 RELIGIOUS INST 2 12 NGO 3 13 SELF-HELP GROUPS 24 14 OTHER (Specify 2 99 Not stated 0 'Why did you not attempt to borrow in the last 12 months? (1st) [WRITE UP TO TWO ANSWERS IN ORDER OF IMPORTANCE.] For each member who answered NO in U12 list a maximum of 2 reasons why he/she never tried to borrow. The 1st reason should be the major one while the 2nd should be the second most important. 8320 5829 1 9 1 No need 2489 2 Believed would be refused 768 3 Too expensive 986 4 Too much trouble for what it is worth 682 5 Inadequate collateral 1308 6 Do not like be in debt 953 7 Do not know any lender 839 8 Other (specify) 291 9 Not Stated 4 'Why did you not attempt to borrow in the last 12 months? (2nd) [WRITE UP TO TWO ANSWERS IN ORDER OF IMPORTANCE.] For each member who answered NO in U12 list a maximum of 2 reasons why he/she never tried to borrow. The 1st reason should be the major one while the 2nd should be the second most important. 3643 10506 1 9 1 No need 209 2 Believed would be refused 362 3 Too expensive 494 4 Too much trouble for what it is worth 575 5 Inadequate collateral 589 6 Do not like be in debt 946 7 Do not know any lender 365 8 Other (specify) 101 9 Not Stated 2 14149 0 11.0999998824448 3922.60000677888 541.336973344768 474.542984134656 13158 0 1 1339 668.085988098048 386.480014884864 hhld serial number 1 - 10? 13158 0 1 10 5.46199983620096 2.85999993192448 Area of residence 13158 0 1 2 1 Rural 8475 2 Urban 4683 Number of people in household 13158 0 1 29 5.05199990931456 2.81100005933056 Sum total of adult equivalent scales (Country-specific scales) 13158 0 1 24.6799994454016 3.99499973361664 2.18099999571968 Sum total of adult equivalent scales (FAO scales) 13158 0 0.73 23.03000051712 3.9189999517696 2.18899987562496 Household weighting coefficient 13158 0 11.0999998824448 3922.60000677888 530.340011573248 465.383999930368 Population weighting coefficient 13158 0 11.0999998824448 31785.6000507904 2699.08009025536 2888.76883083264 Adult equivalent (COUNTRY SPECIFIC) population weighting coefficient 13158 0 11.0999998824448 24514.6448822272 2141.20695595008 2290.47183343616 Bread and cereals purchased 13158 0 0 396285.72721152 7861.79737780224 10630.815809536 Bananas and tubers purchased 13158 0 0 96203.5697319936 2066.09301110784 3799.16969312256 Poultry purchased 13158 0 0 275835.71820544 646.678998679552 3960.33699872768 Meats purchased 13158 0 0 191625 5451.47884404736 8826.30677495808 Fish and seafood purchased 13158 0 0 82907.1428681728 1453.64896186368 3625.82682632192 Milk, cheese and eggs purchased 13158 0 0 1530644.30370816 5043.79685732352 15375.3906839552 Oils, fats and oil-rich nuts purchased 13158 0 0 2085714.30076416 2240.43093458944 18478.5565646848 Fruits purchased 13158 0 0 83428.5720305664 2049.2018778112 4270.93695397888 Vegetables excludes pulses (beans and peas) purchased 13158 0 0 258732.85644288 4520.63695732736 6038.93004238848 Pulses (beans and peas) purchased 13158 0 0 83428.5720305664 2421.38394656768 4428.43105591296 Sugar, jam, honey, chocolate and confectionary purchased 13158 0 0 392635.709652992 4510.86892662784 6239.42918209536 Non-alcoholic purchased 13158 0 0 110542.861631488 1925.94487279616 4134.35766505472 Food items not mentioned above purchased 13158 0 0 299404.284133376 3988.01000988672 5948.5666148352 Food consumed in restaurants and canteens purchased 13158 0 0 312857.16189184 3423.75398375424 14077.6344387584 Total value of purchased food 13158 0 0 2161420.4813312 47603.7532090368 50002.5662636032 Bread and cereals auto-consumption 13158 0 0 538453.305458688 6479.05480278016 9783.71336994816 Bananas and tubers auto-consumption 13158 0 0 87600 1966.35195867136 5235.15375648768 Poultry auto-consumption 13158 0 0 59964.2865664 1023.61796182016 3700.8709779456 Meats auto-consumption 13158 0 0 107414.288334848 964.707972284416 5419.15451752448 Fish and seafood auto-consumption 13158 0 0 109500 223.0639919104 2198.23606857728 Milk, cheese and eggs auto-consumption 13158 0 0 107002.634174464 3370.79569481728 7045.80190994432 Oils, fats and oil-rich nuts auto-consumption 13158 0 0 73000 1003.91991640064 2815.96712189952 Fruits auto-consumption 13158 0 0 83428.5720305664 1440.01999044608 4066.69179748352 Vegetables excludes pulses (beans and peas) auto-consumption 13158 0 0 75172.6181220352 1551.77789161472 3380.03893420032 Pulses (beans and peas) auto-consumption 13158 0 0 1095000 2057.29906556928 10509.2556521472 Sugar, jam, honey, chocolate and confectionary auto-consumption 13158 0 0 73000 699.653997723648 2348.54381780992 Non-alcoholic auto-consumption 13158 0 0 219243.333287936 859.099021443072 4122.13915418624 Food items not mentioned above auto-consumption 13158 0 0 107056.08638464 613.684992802816 3238.38889951232 Total value of auto-consumption food 13158 0 0 1114379.26105088 22357.2995866624 27154.1287780352 Tuition (school fees and registration) 13158 0 0 2100000 6274.34055532544 40818.88264192 Text books and school supplies 13158 0 0 380000 635.116007194624 4342.66794098688 School uniforms 13158 0 0 70000 796.593020207104 1949.4529400832 Extra-curricular activities 13158 0 0 0 0 0 Feeding and Boarding 13158 0 0 240000 676.124019392512 5380.2669441024 Transport to school 13158 0 0 333000 492.980003667968 5170.1658681344 Fees for school maintenance 13158 0 0 62000 144.031006851072 926.400018120704 Expenditures on education not mentioned elsewhere 13158 0 0 1002000 2268.85489393664 15136.8790704128 Total education costs 13158 0 0 4080000 3000.65306443776 44077.6655896576 Total value of education 13158 0 0 4080000 14288.7136264192 70943.5047542784 Consultation fees 13158 0 0 1440000 1912.29996302336 19754.2641926144 Medication 13158 0 0 316800 1167.93993592832 5682.4195710976 Traditional doctors and medicines 13158 0 0 494400 190.257001660416 4786.8769468416 Medical procedure fees 13158 0 0 7209600 1895.52492806144 85144.505417728 Hospitalization 13158 0 0 480000 290.49699172352 6867.23797352448 Transport to hospital 13158 0 0 0 0 0 Health insurance 13158 0 0 0 0 0 Therapeutic equipment and appliances 13158 0 0 192000 43.5929986629632 2000.3818569728 Expenditures on other health care items not mentioned above 13158 0 0 21600 29.2449993883648 442.671004909568 To be used only if health expenditure is reported as a single item 13158 0 0 0 0 0 Total value of health 13158 0 0 316800 1167.93993592832 5682.4195710976 Tobacco and narcotics 13158 0 0 172071.422263296 1060.65400168448 5371.79881209856 Water 13158 0 0 180000 1494.80800256 4987.77974636544 Electricity, gas, fuels and heat energy 13158 0 0 3378000 7448.87385325568 32310.7235561472 Refuse, sewage collection, disposal and other services 13158 0 0 180000 68.0780032376832 1654.46988857344 Clothing and footwear 13158 0 0 1454400 12845.4687195136 33869.1591503872 Furnishings and routine household maintenance 13158 0 0 241680 3404.40683380736 6061.62089148416 Domestic household services 13158 0 0 936000 2854.85402423296 20829.0193604608 Transportation 13158 0 0 2372400 10842.435223552 57908.372963328 Communication (postal and telephone) 13158 0 0 662500 4250.96904704 17971.0759796736 13158 0 0 1179384 2753.60201572352 19086.7524550656 Other insurance excluding health 13158 0 0 4370000 1795.33894385664 48665.0396278784 Property service charge, licenses and taxes 13158 0 0 0 0 0 Actual rent paid 13158 0 0 1800000 7337.079209984 49315.5124248576 Owner-occupied imputed rent 13158 0 0 72000000 12887.5543658496 632387.62921984 Imputed rent 13158 0 0 2366250.32380416 8941.94205851648 34613.5977787392 Actual and imputed rent for missing households 13158 0 0 1800000 11022.0294488064 53473.0072129536 Expenditures on frequent non-food not mentioned elsewhere 13158 0 0 732720 5956.73309249536 14168.157585408 Total value of own-produced non-foods 13158 0 0 0 0 0 Total value of frequent non-food expenditures excluding education and health 13158 0 0 6242469.8847232 63044.717641728 179587.229155328 Electric small appliances 13158 0 0 7000 12.7720004517888 128.79499624448 Non-electric small appliances 13158 0 0 0 0 0 Large investment expenditure (purchase of household durable assets) 13158 0 0 6032500 5658.93213978624 88916.4060950528 Use value of large investments 13158 0 0 2813081.27297536 8840.3278299136 58804.0615493632 Non-regular expenditure 13158 0 0 130000 219.886991179776 2353.90397054976 Cash transfer payments (remittances) received 13158 0 0 0 0 0 Food transfer payments (remittances) received 13158 0 0 0 0 0 Other transfer payments (remittances) received 13158 0 0 0 0 0 Maintenance and repairs of dwelling unit (minor works) 13158 0 0 2400000 2364.34996854784 40585.662562304 Expenditures on infrequent non-food not mentioned elsewhere 13158 0 0 0 0 0 Total infrequent non-food expenditure excluding education and health 13158 0 0 7000 12.7720004517888 128.79499624448 Household Paasche Index 13158 0 0.469 2.49999996747776 1.02100004503552 0.114 Total purchased and auto-consumption food expenditure 13158 0 0 2161420.4813312 69961.1853357056 59030.6277851136 Total purchased and auto-consumption food expenditure in regionally deflated prices 13158 0 0 2250262.5509376 68476.173549568 56189.4498762752 Total purchased and auto-consumption non-food expenditure 13158 0 0 6501069.86561536 78513.981882368 219025.112039424 Total purchased and auto-consumption non-food expenditure in regionally deflated prices 13158 0 0 6501069.86561536 75559.5544100864 205007.949398016 Total household food and non-food consumption expenditure 13158 0 1162.85702668288 6649316.70163456 148475.324923904 251881.074982912 Total food and non-food consumption expenditure in regionally deflated prices 13158 0 1162.85702668288 6649316.70163456 144035.889020928 235449.134088192 Per adult equivalent total household food and non-food consumption expenditure 13158 0 189.699008233472 2300801.56532736 45907.613581312 83574.7754016768 Per adult equivalent total food and non-food consumption expenditure in regionally deflated prices 13158 0 189.699008233472 2300801.56532736 44635.3335386112 78930.895699968 Monthly per adult equivalent food expenditure 13158 0 0 51375.8552129536 1762.47489429504 1636.64392880128 Monthly per adult equivalent total household expenditure 13158 0 15.8079995871232 191733.447000064 3719.60206852096 6577.5779971072 Food poverty line (Kshs) 13158 0 987.986963464192 1474.41798086656 1160.9699254272 233.38298638336 Absolute poverty line (Kshs) 13158 0 1562.17892667392 2912.7981662208 2042.6059153408 647.289018253312 Food Poverty line 13158 0 1 2 1 Poor 5133 2 Non Poor 8025 Absolute Poverty line 13158 0 1 2 1 Poor 5364 2 Non Poor 7794 Hardcore poverty line 13158 0 1 2 1 Hardcore Poor 2193 2 Non Hardcore Poor 10965