KEN_2009_MRHSS_v01_M DDI_KEN_2009_MRHSS_v01_M

World Bank, Migration and Remittances Household Survey

Development Economics Data Group 2011-02-14 Metadata Editor KEN_2009_MRHSS_v01_M Migration Household Survey 2009 MRHSS 2009 KEN_2009_MRHSS_v01_M University of Nairobi Richard Bilsborrow Mario Navarrete 2011-02-14 Metadata Editor The World Bank Other Household Survey [hh/oth] The main objective of this survey is to help improve the impact of migration and remittances on the economic and social situation in Kenya. At present, our knowledge base on migration and remittances in Kenya is quite limited. By providing rich and detailed information on the impact of migration and remittances at the household level, this survey will greatly increase our ability to maximize the socio-economic impact of migration and remittances in Kenya. To these ends, the survey will collect nationally-representative information in various African countries on three types of households: non-migrant households, internal migrant households and international migrant households. Comparisons between these three types of households will help policymakers identify the socio-economic impact of migration and remittances in Kenya. Kenya Embu, Garissa, Kakamega, Kiambu, Kilifi, Kisii, Lugari, Machakos, Malindi, Migori, Mombasa, Nairobi, Nakuru, Siaya, Thika, Vihiga, Rachuonyo 17 out of 69 districts in Kenya were selected using procedures described in the methodology report Sample survey data [ssd] At the planning stage of the survey, the aim was to select the districts purposively and the clusters and households randomly. However, from the pre-testing we realised that it was possible to end up with clusters without international migrants, which was the key target, if and the design did not allow substituting the clusters once the selection has been made. We also realised that the DSOs, village elders and administrative officers had an idea of households in their locality and could identify those with international migrants. Thus we changed the methodology of selecting the clusters. Face-to-face [f2f] The research team headed by a team leader provided the overall intellectual coordination for the project and in consultation with the World Bank Migration team, took final decisions on all matters relating to the project. The team leader worked with the principal researchers for day to day management of logistics and technical aspects the project. The supervisors oversaw the data gathering at the district level. Data editing was conducted through a period of nearly three months. After data entry, the data analyst together with the team leader worked together to clean up the data and check for inconsistencies. The team also corresponded with Prof Mario Navarrete in identifying and correcting all inconsistencies in the original data. 96.2 percent The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. Household.NSDstat This data file contains information that has been collected using Section 2 (Housing Conditions), Section 3 (Household Assets and Household Expenditure), Section 5 (International and Internal Migration and Remittances from Former Household Members), and Section 6 (International and Internal Migration and Remittances from Non-Household Members) of the Migration Household Survey 2009 questionnaire. 1942 252 Nesstar 200801 section1.NSDstat This data file contains information that has been collected using Section 1 (Household Roster) of the 2009 Migration Household Survey questionnaire. 8343 19 Nesstar 200801 section4.NSDstat This data file contains information that has been collected using Section 4 (Household Use of Financial Services) of the 2009 Migration Household Survey questionnaire. 1896 11 Nesstar 200801 section5.NSDstat 2245 44 Nesstar 200801 section6.NSDstat This data file contains information that has been collected using Section 6 (Internal and International Migration and Remittances from Non-Household Members) questions 6.1 to 6.15 of the 2009 Kenya Migration Household Survey questionnaire. 279 15 Nesstar 200801 section7.NSDstat 70 18 Nesstar 200801 HH unique ID 1942 0 District questionnaire number 1942 0 HH weight 0 1942 Sysmiss 1942 Province PROVINCE 1942 0 1 nairobi 177 2 central 249 3 eastern 214 4 north eastern 107 5 coast 353 6 rift valley 93 7 nyanza 466 8 western 283 District District 1942 0 201 kiambu 129 202 kisii 121 203 machakos 107 204 nakuru 93 205 nairobi 177 206 rachuonyo 109 207 thika 120 208 garissa 107 209 lugari 67 210 nairobi west 0 211 malindi 124 212 embu 107 213 siaya 123 214 kilifi 103 215 kakamega 100 216 migori 113 217 vihiga 116 218 mombasa 126 Enumeration area Census Unit (Enumeration Area) 1942 0 2 high rise 0 6 mbwa kali 24 8 nkura 0 20 sigona/nyathuwa 43 24 mutundu 26 27 kamour 21 28 town centre 35 29 hidaya 21 30 jaribu 20 35 london 19 116 mabanda 27 120 muirini 21 123 githuguchu 22 163 mtondia 20 262 gongoni 27 263 musufini 23 268 kwa haidari 24 280 kairuri 22 281 manyatta 22 282 kiangucu 21 286 kau 21 343 mbondoni 21 347 mususye 21 348 kanzia 21 511 market 10 598 irianyi 23 599 kerera 27 618 nyokabaria 21 649 lichota 26 652 manyera 22 655 ngere a & b 19 660 manywanda 23 693 nyabola 19 702 karianya 16 704 kamanga 24 708 ayuang 24 709 uhanya 21 717 yombura 33 722 ukwala 'b' 19 732 sinaga 24 938 morop 14 945 plant breeding 17 946 ngondu 15 1177 musakhwe 21 1188 shipalo 22 1194 matere 20 1202 muyunchi 2 1204 mwamba 9 1205 bendera 7 1206 mlimani 13 1207 bendera 0 1240 idohi 24 1241 liamidi 22 1242 magina 26 1301 maili saba 14 1309 eastleigh 15 1312 outering 20 1313 buruburu phase 1 19 1317 loresho 24 1318 kibarage 15 1323 muthaiga 20 1336 kilimani 16 1338 kileleshwa 14 1343 rusinga 20 1371 njiku 19 1376 guthunguri 19 1403 juja 24 1412 majengo 24 1417 21 1418 kiwandani 21 1419 mtwapa 22 1420 makiwo 19 1436 mnazi moja 21 1437 ganjoni 22 1440 bamburi 22 1444 tudor 20 1448 kisimani 20 1451 nyali 21 1476 barani 26 1482 majengo 24 1485 matakare 21 1505 kaluoki 24 1510 makadara 20 1573 bomakombi 27 1574 bonyanchaire 23 1607 kimaiga 23 1621 atandi 26 1626 awello 26 1695 section 58 28 1770 likwilo 19 1773 mayakolo 18 1780 maji mazuri 0 1781 pan paper 17 1782 township 19 1791 mbale/nyembe 21 1792 ikengero 23 Primary unit urban/rural Primary Unit 1942 0 1 urban 953 2 rural 989 Classification of migrants 1942 0 1 international migrant 591 2 internal migrant 556 3 non-migrant 673 4 both international & internal migrant 122 777 n\a 0 999 missing 0 HH type 1942 0 1 international migrant 713 2 internal migrant 558 3 non migrant 671 4 both 0 ID code of principal repondent ID CODE OF PRINCIPAL RESPONDENT 1813 129 1 household head 1316 2 spouse of the household head 427 3 children not married 39 4 children married 25 5 other relatives 6 Sysmiss 129 HH size NUMBER OF CURRENT HOUSEHOLD MEMBERS 1941 1 1 20 4.222 2.304 ID code of interviewer INTERVIEWER (Name and code) 1940 2 1 5 2 73 3 2 4 5 5 4 6 61 7 30 8 109 9 41 10 70 11 35 12 11 13 2 14 123 15 140 16 22 17 32 18 40 19 34 20 41 21 47 22 27 23 104 24 23 25 24 26 29 27 31 28 35 29 18 30 62 31 46 32 90 33 74 34 56 35 25 36 18 37 20 38 17 39 23 40 22 41 54 42 53 43 37 44 26 45 38 46 25 47 27 48 9 Sysmiss 2 Date of interview DATE OF INTERVIEW 1942 1991-12-13 2009-12-23 1991-12-13 1 2008-12-10 1 2009-02-14 1 2009-09-11 1 2009-10-24 11 2009-11-02 4 2009-11-03 10 2009-11-04 12 2009-11-05 7 2009-11-06 17 2009-11-07 25 2009-11-08 66 2009-11-09 110 2009-11-10 125 2009-11-11 74 2009-11-12 59 2009-11-13 39 2009-11-14 53 2009-11-15 8 2009-11-16 4 2009-11-17 38 2009-11-18 48 2009-11-19 80 2009-11-20 98 2009-11-21 68 2009-11-22 66 2009-11-23 41 2009-11-24 28 2009-11-25 16 2009-11-26 63 2009-11-27 50 2009-11-28 27 2009-11-29 11 2009-11-30 8 2009-12-05 22 2009-12-06 4 2009-12-07 87 2009-12-08 48 2009-12-09 47 2009-12-10 32 2009-12-11 24 2009-12-12 44 2009-12-13 37 2009-12-14 60 2009-12-15 55 2009-12-16 19 2009-12-17 50 2009-12-18 40 2009-12-19 40 2009-12-20 37 2009-12-21 20 2009-12-22 5 2009-12-23 1 ID code of supervisor SUPERVISOR (Name and code) 1942 0 1 469 2 391 3 490 4 218 5 267 6 107 Date of supervision DATE 1647 2009-01-08 2009-12-23 2009-01-08 1 2009-01-18 1 2009-10-07 1 2009-10-24 11 2009-11-02 2 2009-11-03 6 2009-11-04 9 2009-11-05 13 2009-11-06 19 2009-11-07 14 2009-11-08 19 2009-11-09 30 2009-11-10 28 2009-11-11 48 2009-11-12 85 2009-11-13 52 2009-11-14 16 2009-11-15 46 2009-11-16 21 2009-11-17 1 2009-11-18 26 2009-11-19 44 2009-11-20 75 2009-11-21 12 2009-11-22 16 2009-11-23 60 2009-11-24 42 2009-11-26 112 2009-11-27 37 2009-11-28 27 2009-11-29 11 2009-11-30 9 2009-12-04 75 2009-12-05 21 2009-12-06 6 2009-12-07 13 2009-12-08 12 2009-12-09 25 2009-12-10 102 2009-12-11 44 2009-12-12 2 2009-12-14 31 2009-12-15 24 2009-12-16 19 2009-12-17 206 2009-12-18 63 2009-12-19 40 2009-12-20 37 2009-12-21 21 2009-12-22 9 2009-12-23 3 Tenure status of dwelling What is the tenure status of this dwelling? 1941 1 1 owned 1293 2 rent-free or subsidized from employer 68 3 rented from employer 30 4 rent-free or subsidized from relatives 25 5 rented from relatives 15 6 rented from an individual 487 7 rented from other 23 8 other (specify) 0 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1 Type of dwelling What type of dwelling does your household live in? 1940 2 1 family house 1426 2 apartment in a building 122 3 single rooms 217 4 room or rooms in a house 169 5 huts 3 6 other (specify 3 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 2 Major construction material of the exterior walls What is the major construction material of the exterior walls? 1941 1 1 bricks/stones 1242 2 wood/off cuts 68 3 mud 471 4 pre-fabricated 20 5 tin 11 6 straw 0 7 iron sheets 120 8 other (specify 9 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1 Existence of separate room for cooking Do you have a separate room for cooking? 1938 4 1 yes 1270 2 no 665 3 3 Sysmiss 4 Total number of separate rooms (main house) How many separate rooms do you have in total, excluding bathrooms, corridors, and storage areas (this refers to separate living and dining rooms, bedrooms, etc.)? Main house 1919 23 1 14 3.28 1.881 Total number of separate rooms (other rooms) How many separate rooms do you have in total, excluding bathrooms, corridors, and storage areas (this refers to separate living and dining rooms, bedrooms, etc.)? Other Rooms 746 1196 1 12 2.04 1.356 Have electricity Does your household have electricity? 1940 2 1 yes 1012 2 no 928 Sysmiss 2 Primary source of drinking water What is the primary source of your drinking water? 1941 1 1 piped water to resident 862 2 public pump 148 3 well \ stream 130 4 river or stream 355 5 water truck \ vendors 45 6 rain water 79 7 boreholes 266 8 spring 56 Sysmiss 1 Own agricultural land at present Does your household own the following asset at present? Agricultural land 1929 13 1 yes 1212 2 no 717 Sysmiss 13 Own non-agricultural land at present Does your household own the following asset at present? Non-agricultural land 1929 13 1 yes 394 2 no 1535 Sysmiss 13 Own house at present Does your household own the following asset at present? House 1929 13 1 yes 1245 2 no 684 Sysmiss 13 Own other buildings at present Does your household own the following asset at present? Other Buildings 1929 13 1 yes 378 2 no 1551 Sysmiss 13 Own tuk tuk at present Does your household own the following asset at present? Tuk Tuk 1929 13 1 yes 109 2 no 1820 Sysmiss 13 Own radio at present Does your household own the following asset at present? Radio 1929 13 1 yes 1642 2 no 287 Sysmiss 13 Own television at present Does your household own the following asset at present? Television 1929 13 1 yes 1100 2 no 829 Sysmiss 13 Own refrigerator at present Does your household own the following asset at present? Refrigerator 1929 13 1 yes 509 2 no 1420 Sysmiss 13 Own air conditioners at present Does your household own the following asset at present? Air conditioner 1929 13 1 yes 241 2 no 1688 Sysmiss 13 Own sound system at present Does your household own the following asset at present? Sound system 1929 13 1 yes 299 2 no 1630 Sysmiss 13 Own VCR/DVD player at present Does your household own the following asset at present? VCR/DVD player 1929 13 1 yes 717 2 no 1212 Sysmiss 13 Own computer at present Does your household own the following asset at present? Computer 1929 13 1 yes 379 2 no 1550 Sysmiss 13 Own mobile phone at present Does your household own the following asset at present? Cell phone / mobile phone 1929 13 1 yes 1551 2 no 378 Sysmiss 13 Own non-mobile telephone at present Does your household own the following asset at present? Non-mobile telephone 1929 13 1 yes 212 2 no 1717 Sysmiss 13 Own bicycle at present Does your household own the following asset at present? Bicycle 1929 13 1 yes 534 2 no 1395 Sysmiss 13 Own animal-drawn cart at present Does your household own the following asset at present? Animal drawn cart 1929 13 1 yes 110 2 no 1819 Sysmiss 13 Own car at present Does your household own the following asset at present? Car 1929 13 1 yes 323 2 no 1606 Sysmiss 13 Own motorcycle or scooter at present Does your household own the following asset at present? Motorcycle 1928 14 1 yes 90 2 no 1838 Sysmiss 14 Own tractor/harvester at present Does your household own the following asset at present? Tractor/harvester 1929 13 1 yes 17 2 no 1912 Sysmiss 13 Own bus at present Does your household own the following asset at present? bus 1929 13 1 yes 11 2 no 1918 Sysmiss 13 Own lorry at present Does your household own the following asset at present? lorry 1929 13 1 yes 29 2 no 1900 Sysmiss 13 Does your household own the following asset at present? truck 1928 14 1 yes 17 2 no 1911 Sysmiss 14 Own boat at present Does your household own the following asset at present? boat 1929 13 1 yes 16 2 no 1913 Sysmiss 13 Own canoe at present Does your household own the following asset at present? canoe 1927 15 1 yes 5 2 no 1922 Sysmiss 15 Expenditure on food in past 1 week How much in total has your household spent on the following items in the given period? In the past one week: Food (e.g. grains, cassava, plantain, yam, pulses, fruits, vegetables, including self-consumption) 1916 26 2 50000 1583.978 2973.096 Expenditure on meat in past 1 week How much in total has your household spent on the following items in the given period? In the past one week: Meat (fish, chicken, red meat including self-consumption) 1580 362 2 104000 696.817 2845.121 Expenditure on cooking fuels in past 1 week How much in total has your household spent on the following items in the given period? In the past one week: Cooking fuels (e.g. kerosene) 1680 262 2 20000 371.464 859.123 Expenditure on transportation in past 1 week How much in total has your household spent on the following items in the given period? In the past one week: Transportation (e.g. bus/taxi, gasoline) 1238 704 10 600300 1802.24 17266.127 Other expenditure in past 1 week How much in total has your household spent on the following items in the given period? In the past one week: Personal care/leisure/entertainment(e.g. cigarettes, alcohol, beauty salon) 1130 812 1 150000 2129.789 7659.881 Total expenditure on food items in past 1 week 1942 0 0 104002 2451.047 4553.836 Total expenditure on non-food in past 1 week 1942 0 0 604900 2388.175 15455.851 Expenditure on clothing and footwear in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Clothing and footwear 1334 608 50 500000 7315.734 22622.942 Expenditure on HH appliances in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Household appliances (e.g. furniture, kitchen ware, refrigerators, air conditioners, bedding, carpet) 566 1376 20 1000000 12949.753 61981.233 Expenditure on car/motorcycle/vehicle in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Car/motorcycle/vehicle/tuk tuk 160 1782 2 4000000 179684.513 478250.503 Expenditure on initial cost of mobile phone in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Cell phone/mobile phone (Initial cost) 485 1457 50 300000 8693.932 17300.057 Expenditure on computer in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Computer 76 1866 50 120000 25953.289 27481.853 Expenditure on other electronic goods in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Other electronic goods (e.g. DVDs, TV) 136 1806 100 90000 11911.765 16726.325 Expenditure on productive assets in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Productive assets (e.g. sewing machine, water pump) 45 1897 250 150000 18495.556 29446.637 Expenditure on farming equipment in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Farming Equipment (e.g. trucks, tractor, ox plough, harvester, spraying machines, water pumps) 129 1813 100 120000 6044.574 15653.298 Expenditure on luxury goods in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Luxury goods (Jewelry and luxury cars) 190 1752 20 3400000 61135.895 317357.436 Expenditure on rent for housing in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Rent for housing (imputed rent) 1132 810 50 2500000 39905.977 129274.478 Expenditure on utilities in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Payments for utilities (e.g. gas, water, electricity) 911 1031 50 3000000 19105.106 112252.902 Expenditure on education/apprenticeship in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Education / apprenticeship (including tuition fees, tutor fees, school uniforms, books, and supplies) 1156 786 20 6000000 47454.786 252619.313 Expenditure on health in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Health (doctor, fees, hospital fees, medicines, drugs) 1311 631 20 1000000 13567.53 53149.013 Expenditure on wedding, engagement,funerals in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Wedding/ Engagement / Funerals 818 1124 20 310000 8403.441 27429.068 Expenditure on setting up a busness/opening a store in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Setting up a business / Opening a store 133 1809 2 2000000 76455.88 247115.279 Expenditure on house/land in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: House or land purchase 55 1887 12.1 5000000 559775.675 1044281.674 Expenditure on home improvement in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Home improvements (e.g. roof, floor, plumbing) 172 1770 50 4000000 53515.349 310581.395 Expenditure on mortage and loan repayment in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Mortgage and loan repayment 148 1794 2 750000 57259.689 110622.601 Other expenditure in past 6months How much in total has your household spent on the following items in the given period? In the past 6 months: Other (specify) 58 1884 4 500000 27432.828 77800.992 Total expenditure on non-food in past 6months 1942 0 0 7588000 138619.319 501155.389 Existence of bank account for HH member Does anyone in your household have a bank account? If answer is 1 > Copy ID of each person with bank account. Q4.1 asks whether anyone in the household has a bank account. It is important here to copy the ID (identification of the member from the listing of household members) of each and every person in the household who has a bank account. 1942 0 1 yes 1230 2 no 712 Total amount of remitt. sent by migrant to HH in past 12months In the past 12 months, how much money in total has (NAME) sent to your household? 779 1163 0 20000000 187672.017 1065943.312 Amount of remitt. spent on food in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Food. 608 1334 0 none 0 100 2 200 1 300 3 500 5 600 1 800 2 1000 14 1075 1 1200 5 1300 1 1500 7 1800 1 2000 38 2200 1 2400 1 2500 4 2800 1 2900 1 3000 25 3500 1 3600 1 3800 2 4000 23 4500 1 5000 45 5400 1 6000 18 7000 8 7400 1 7500 2 8000 16 9000 6 10000 89 11000 2 11700 1 12000 11 12500 1 12800 1 13000 2 13500 1 14000 2 15000 18 16000 4 16800 1 17000 2 18000 3 20000 53 20800 2 21000 1 24000 7 25000 7 26000 1 30000 28 34000 1 35000 3 36000 15 40000 17 42000 1 44000 2 45000 2 46000 1 48000 2 50000 27 54000 1 55000 1 55200 1 60000 15 67500 1 70000 1 72000 1 78000 1 80000 5 84000 1 90000 2 91248 1 100000 7 114000 1 120000 5 125000 1 130000 1 140000 1 150000 2 198000 1 200000 5 260000 1 300000 3 500000 1 864000 1 777 n\a 0 999 missing 0 Sysmiss 1334 Proportion of remitt. spent on food in past 12months 608 1334 0.0025 1 0.47 0.316 Amount of remitt. spent on education in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Education. 354 1588 200 2000000 40841.893 124254.473 0 none 777 n\a 999 missing Proportion of remitt. spent on education in past 12months 354 1588 0.004 1 0.361 0.287 Amount of remitt. spent on health in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Health. 359 1583 200 300000 19935.376 39940.456 0 none 777 n\a 999 missing Proportion of remitt. spent on health in past 12months 359 1583 0.00125 1 0.215 0.227 Amount of remitt. spent on rent in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Rent (house, land). 87 1855 1000 600000 61950.575 118199.681 0 none 777 n\a 999 missing Proportion of remitt. spent on rent in past 12months 87 1855 0.0286 1 0.312 0.191 Amount of remitt. spent on marriage/funeral in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Marriage/funeral. 67 1875 200 100000 13967.91 18103.4 0 none 777 n\a 999 missing Proportion of remitt. spent on marriage/funeral in past 12months 67 1875 0.00466 1 0.229 0.258 Amount of remitt. spent on cars/trucks in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Cars/trucks. 11 1931 7000 500000 118545.455 138294.876 0 none 777 n\a 999 missing Proportion of remitt. spent on cars/trucks in past 12months 11 1931 0.0625 0.6 0.303 0.197 Amount of remitt. spent on rebuilding house in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Rebuild house. 51 1891 2000 1000000 98441.176 198537.217 0 none 777 n\a 999 missing Proportion of remitt. spent on rebuilding house in past 12months 51 1891 0.025 1 0.384 0.242 Amount of remitt. spent on building new house in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Build new house. 39 1903 2500 1500000 308397.436 410181.205 0 none 777 n\a 999 missing Proportion of remitt. spent on building new house in past 12months 39 1903 0.0526 1 0.563 0.314 Amount of remitt. spent on business in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Buisness. 59 1883 500 740000 86388.136 160568.769 0 none 777 n\a 999 missing Proportion of remitt. spent on business in past 12months 59 1883 0.0222 1 0.378 0.301 Amount of remitt. spent on land in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Land purchase. 25 1917 8000 2000000 251480 420453.636 0 none 777 n\a 999 missing Proportion of remitt. spent on land in past 12months 25 1917 0.02 1 0.396 0.297 Amount of remitt. spent on livestock in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Livestock purchase. 35 1907 600 100000 15491.429 21697.633 0 none 777 n\a 999 missing Proportion of remitt. spent on livestock in past 12months 35 1907 0.0257 1 0.197 0.176 Amount of remitt. spent on farm improvement in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Improved farming. 97 1845 200 200000 16749.485 28857.838 0 none 777 n\a 999 missing Proportion of remitt. spent on farm improvement in past 12months 97 1845 0.01 1 0.291 0.248 Amount of remitt. spent on phycical investment in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Migrant physical investment. 34 1908 300 3000000 334244.118 610215.552 0 none 777 n\a 999 missing Proportion of remitt. spent on phycical investment in past 12months 34 1908 0.00971 1 0.607 0.282 Amount of remitt. spent on financial assets in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Financial assets (bonds,stocks). 30 1912 3000 3000000 201433.333 572682.537 0 none 777 n\a 999 missing Proportion of remitt. spent on financial assets in past 12months 30 1912 0.0333 1 0.459 0.362 Amount of remitt. spent on intended recipient in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Transfering to intended recipient. 67 1875 500 230000 40594.03 50449.915 0 none 777 n\a 999 missing Proportion of remitt. spent on intended recipient in past 12months 67 1875 0.000606 1 0.334 0.326 Amount of remitt. spent on other expenditure in past 12months How did your household spend the money sent by (NAME) in the past 12 months? Amount (In local currency). Other (specify). 94 1848 100 750000 48437.234 108857.868 0 none 777 n\a 999 missing Proportion of remitt. spent on other expenditure in past 12months 94 1848 0.0187 1 0.357 0.287 Total amount of remitt. spent on food items in past 6months 773 1169 0 864000 20504.299 49133.51 Proportion of remitt. spent on food items in past 6months 771 1171 0 1 0.371 0.34 Total amount of remitt. spent on non-food in past 6months 768 1174 0 5150000 110115.078 348575.374 Proportion of remitt. spent on non-food in past 6months 766 1176 0 1.029 0.588 0.342 Total value of food/goods sent/brought by migrant to HH in past 12months What is the value of food and goods that (NAME) has sent/brought to your household in the past 12 months? VALUE (LOCAL CURRENCY). 299 1643 0 2400000 33160.401 154791.224 Migrant sent/brought refridgerators to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Refridgerators. 312 1630 1 yes 7 2 no 305 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1630 Quantity of fridge sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Refridgerators. 3 1939 1 1 1 0 0 none 777 n\a 999 missing Value of fridge sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Refridgerators. 6 1936 0 35000 12333.333 16500.505 0 none 2 777 n\a 0 999 missing 0 Migrant sent/brought freezers to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Deep freezers 306 1636 1 yes 2 2 no 303 5 1 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1636 Quantity of freezers sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Deep freezers 4 1938 0 1 0.5 0.577 0 none 2 777 n\a 0 999 missing 0 Value of deep freezers sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Deep freezers 2 1940 500 12000 6250 8131.728 0 none 777 n\a 999 missing Migrant sent/brought TV to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. TV 305 1637 1 yes 17 2 no 288 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1637 Quantity of TV sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. TV 17 1925 1 1 1 0 0 none 777 n\a 999 missing Value of TV freezers sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. TV 18 1924 0 110000 15727.778 25194.556 0 none 1 777 n\a 0 999 missing 0 Migrant sent/brought HiFi system to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. HiFi System 303 1639 1 yes 8 2 no 295 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1639 Quantity of HiFi system sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. HiFi System 8 1934 0 2 1 0.535 0 none 1 777 n\a 0 999 missing 0 Value of HiFi system sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. HiFi System 6 1936 12000 200000 65333.333 68896.057 0 none 777 n\a 999 missing Migrant sent/brought washing machine to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Washing machine 304 1638 1 yes 6 2 no 298 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1638 Quantity of washing machine sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Washing machine 6 1936 1 2 1.167 0.408 0 none 777 n\a 999 missing Value of washing machine sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Washing machine 7 1935 0 300000 94285.714 114870.528 0 none 1 777 n\a 0 999 missing 0 Migrant sent/brought set of futniture to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Set of furniture 305 1637 1 yes 10 2 no 295 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1637 Quantity of set of futniture sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Set of furniture 13 1929 0 1 0.846 0.376 0 none 2 777 n\a 0 999 missing 0 Value of set of futniture sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Set of furniture 11 1931 700 20000 7636.364 5769.969 0 none 777 n\a 999 missing Migrant sent/brought stove/cooker to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Stove/cooker 302 1640 1 yes 2 2 no 299 777 n\a 0 888 dk 0 999 missing 0 5000 1 Sysmiss 1640 Quantity of stove/cooker sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Stove/cooker 2 1940 1 2 1.5 0.707 0 none 777 n\a 999 missing Value of stove/cooker sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Stove/cooker 3 1939 0 20000 7333.333 11015.141 0 none 1 777 n\a 0 999 missing 0 Migrant sent/brought microwave to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Microwave 302 1640 1 yes 7 2 no 295 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1640 Quantity of microwave sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Microwave 8 1934 0 1 0.875 0.354 0 none 1 777 n\a 0 999 missing 0 Value of microwave sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Microwave 7 1935 6000 60000 20428.571 19355.078 0 none 777 n\a 999 missing Migrant sent/brought air conditioners to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Air conditioners 303 1639 1 yes 4 2 no 299 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1639 Quantity of air conditioners sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Air conditioners 3 1939 1 1 1 0 0 none 777 n\a 999 missing Value of air conditioners sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Air conditioners 4 1938 0 120000 48750 57209.411 0 none 1 777 n\a 0 999 missing 0 Migrant sent/brought computer & acces. to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Computer and accessories 303 1639 1 yes 16 2 no 286 777 n\a 0 888 dk 0 999 missing 0 35000 1 Sysmiss 1639 Quantity of computer & acces. sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Computer and accessories 16 1926 0 2 1.063 0.443 0 none 1 777 n\a 0 999 missing 0 Value of computer & acces. sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Computer and accessories 17 1925 2 150000 58235.412 38533.124 0 none 777 n\a 999 missing Migrant sent/brought DVCD/DVD/video to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. DVCD/DVD/Video 301 1641 1 yes 11 2 no 290 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1641 Quantity of DVCD/DVD/video sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. DVCD/DVD/Video 9 1933 1 1 1 0 0 none 777 n\a 999 missing Value of DVCD/DVD/video sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. DVCD/DVD/Video 11 1931 0 40000 11272.727 13176.425 0 none 1 777 n\a 0 999 missing 0 Migrant sent/brought motorbike to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Motorbike 299 1643 1 yes 0 2 no 299 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1643 Quantity of motorbike sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Motorbike 2 1940 0 0 0 0 0 none 2 777 n\a 0 999 missing 0 Value of motorbike sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Motorbike 0 1942 0 none 777 n\a 999 missing Migrant sent/brought cars to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Cars 302 1640 1 yes 5 2 no 297 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1640 Quantity of cars sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Cars 5 1937 1 1 1 0 0 none 777 n\a 999 missing Value of cars sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Cars 6 1936 0 2400000 730000 849705.831 0 none 1 777 n\a 0 999 missing 0 Migrant sent/brought buses to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Buses 301 1641 1 yes 0 2 no 301 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1641 Quantity of buses sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Buses 2 1940 0 0 0 0 0 none 2 777 n\a 0 999 missing 0 Value of buses sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Buses 0 1942 0 none 777 n\a 999 missing Migrant sent/brought trucks to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Trucks 340 1602 1 yes 0 2 no 301 777 n\a 37 888 dk 0 999 missing 2 Sysmiss 1602 Quantity of trucks sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Trucks 2 1940 0 0 0 0 0 none 2 777 n\a 44 999 missing 0 Value of trucks sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Trucks 1 1941 0 0 0 0 none 1 777 n\a 34 999 missing 0 Migrant sent/brought posh mill to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. posh mill 340 1602 1 yes 1 2 no 300 777 n\a 37 888 dk 0 999 missing 2 Sysmiss 1602 Quantity of posh mill sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. posh mill 3 1939 0 1 0.333 0.577 0 none 2 777 n\a 44 999 missing 0 Value of posh mill sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. posh mill 2 1940 0 38000 19000 26870.058 0 none 1 777 n\a 34 999 missing 0 Migrant sent/brought hair dressing equip to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Set of hair dressing equipment 340 1602 1 yes 3 2 no 298 777 n\a 37 888 dk 0 999 missing 2 Sysmiss 1602 Quantity of hair dressing equip sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Set of hair dressing equipment 4 1938 0 4 1.25 1.893 0 none 2 777 n\a 44 999 missing 0 Value of hair dressing equipsent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Set of hair dressing equipment 4 1938 0 150000 59000 70738.957 0 none 1 777 n\a 34 999 missing 0 Migrant sent/brought sewing machine to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Sewing machine 339 1603 1 yes 2 2 no 298 777 n\a 37 888 dk 0 999 missing 2 Sysmiss 1603 Quantity of sewing machine sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Sewing machine 5 1937 0 1 0.6 0.548 0 none 2 777 n\a 44 999 missing 0 Value of sewing machine sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Sewing machine 4 1938 0 30000 11800 14147.791 0 none 1 777 n\a 34 999 missing 0 Migrant sent/brought tractor to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Tractor 340 1602 1 yes 0 2 no 301 777 n\a 37 888 dk 0 999 missing 2 Sysmiss 1602 Quantity of tractor sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Tractor 2 1940 0 0 0 0 0 none 2 777 n\a 44 999 missing 0 Value of tractor sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Tractor 1 1941 0 0 0 0 none 1 777 n\a 34 999 missing 0 Migrant sent/brought other agri equip to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Other agriculture equipment 340 1602 1 yes 11 2 no 290 777 n\a 37 888 dk 0 999 missing 2 Sysmiss 1602 Quantity of other agri equip sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Other agriculture equipment 13 1929 0 3 1.231 0.832 0 none 2 777 n\a 44 999 missing 0 Value of other agri equip sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Other agriculture equipment 12 1930 0 25000 9450 7626.688 0 none 1 777 n\a 34 999 missing 0 Migrant sent/brought mobile phone to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Mobile phones 341 1601 1 yes 33 2 no 269 777 n\a 37 888 dk 0 999 missing 2 Sysmiss 1601 Quantity of mobile phone sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Mobile phones 31 1911 0 3 1.29 0.643 0 none 1 777 n\a 44 999 missing 0 Value of mobile phone sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Mobile phones 30 1912 1500 75000 14356.667 18400.125 0 none 0 777 n\a 34 999 missing 0 Migrant sent/brought other goods to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Yes or No. Other (specify) 340 1602 1 yes 46 2 no 256 777 n\a 36 888 dk 0 999 missing 2 Sysmiss 1602 Quantity of other goods sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? QUANTITY. Other (specify) 36 1906 0 30 4.111 6.159 0 none 2 777 n\a 42 999 missing 0 Value of other goods sent/brought by migrant to HH in past 12months Which of the following goods were sent/brought to your household in the past 12 months? Value. Other (specify) 46 1896 0 120000 14198.913 24004.973 0 none 1 777 n\a 33 999 missing 0 Bank account opening by HH after migrant's migration Did any member of your household open a bank account after a migrant went to work outside the household? 1257 685 1 yes 193 2 no 1064 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 685 Business set up/store opened by HH after migrant's migration Did your household set up a business or open a store after a migrant went to work outside the household? 1251 691 1 yes, set up a business 89 2 yes, opened a store 80 3 no 1082 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 691 Dwelling built to rent / commerical uses by HH after migrant's migration Did your household build a dwelling to rent to others or for other commercial uses after a migrant went to work outside the household? 1250 692 1 yes, for rent 38 2 yes, for other commercial uses 67 3 yes, for both 14 4 no 1131 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 692 Total amount of remitt. sent by HH to migrant in past 12months In the past 12 months, how much money in total have you sent to (NAME)? 313 1629 0 4000000 135412.511 402358.789 Amount of remitt. spent by migrant on food in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Food 251 1691 0 500000 17741.036 49434.989 0 none 111 777 n\a 0 888 dk 0 999 missing 0 Proportion of remitt. spent by migrant on food in past 12months 242 1700 0 1 0.246 0.315 Amount of remitt. spent by migrant on education in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Education/fee 266 1676 0 4000000 93616.917 318057.826 0 none 110 777 n\a 0 888 dk 0 999 missing 0 Proportion of remitt. spent by migrant on education in past 12months 257 1685 0 6.667 0.475 0.567 Amount of remitt. spent by migrant on health in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Health 245 1697 0 240000 3512.245 20857.245 0 none 194 777 n\a 0 888 dk 0 999 missing 0 Proportion of remitt. spent by migrant on health in past 12months 236 1706 0 1 0.0929 0.255 Amount of remitt. spent by migrant on rent in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Rent (house, land) 245 1697 0 4000000 22987.755 257509.41 0 none 192 777 n\a 0 888 dk 0 999 missing 0 Proportion of remitt. spent by migrant on rent in past 12months 236 1706 0 1 0.0883 0.223 Amount of remitt. spent by migrant on marriage/funeral in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Marriage/funeral 241 1701 0 30000 178.423 2038.512 0 none 237 777 n\a 0 888 dk 0 999 missing 0 Amount of remitt. spent by migrant on cars/trucks in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Cars/trucks 241 1701 0 7000 29.046 450.91 0 none 240 777 n\a 0 888 dk 0 999 missing 0 Amount of remitt. spent by migrant on rebuilding house in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Rebuild house 239 1703 0 0 0 0 0 none 239 777 n\a 0 888 dk 0 999 missing 0 Amount of remitt. spent by migrant on building new house in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Build new house 237 1705 0 0 0 0 0 none 237 777 n\a 0 888 dk 0 999 missing 0 Amount of remitt. spent by migrant on business in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Business 239 1703 0 100000 554.393 6601.436 0 none 231 777 n\a 0 888 dk 0 999 missing 0 Amount of remitt. spent by migrant on land in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Land purchase 239 1703 0 0 0 0 0 none 239 777 n\a 0 888 dk 0 999 missing 0 Amount of remitt. spent by migrant on livestock in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Livestock purchase 240 1702 0 0 0 0 0 none 240 777 n\a 0 888 dk 0 999 missing 0 Amount of remitt. spent by migrant on farm improvement in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Improved farming 240 1702 0 30000 147.917 1954.502 0 none 237 777 n\a 0 888 dk 0 999 missing 0 Amount of remitt. spent by migrant on physical investment in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Migrant physical investment 240 1702 0 0 0 0 0 none 240 777 n\a 0 888 dk 0 999 missing 0 Amount of remitt. spent by migrant on financial assets in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Financial assets (bonds, stocks) 239 1703 0 450000 2050.209 29154.428 0 none 236 777 n\a 0 888 dk 0 999 missing 0 Amount of remitt. spent by migrant on intended recipient in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Transfering to intended recipient 240 1702 0 1000000 8527.083 73021.335 0 none 231 777 n\a 0 888 dk 0 999 missing 0 Amount of remitt. spent by migrant on other expenditure in past 12months How did (NAME) spend the money send in the past 12 months? Amount (In local currency). Other (specify) 247 1695 0 300000 4537.652 23137.15 0 none 198 777 n\a 0 888 dk 0 999 missing 0 Total amount of remitt. spent by migrant on food items in past 12months 251 1691 0 500000 17741.036 49434.989 Proportion of remitt. spent by migrant on food items in past 12months 242 1700 0 1 0.246 0.315 Total amount of remitt. spent by migrant on non-food in past 12months 253 1689 0 4000000 117758.103 344495.707 Total amount of remitt. spent by migrant on non-food in past 12months 244 1698 0 6.667 0.787 0.486 Total amount of remitt. spent by migrant in past 12months 0 1942 Existence of transfers received from non-HH migrant In the last 12 months, did your household receive any money and/or goods from any non-household migrant members? Write name of each nonhousehold member. If answer is 2 > Go to Q7.1 (q7_1 - variable name in the dataset).]]> 1937 5 1 yes 235 2 no 1702 Sysmiss 5 Total amount of remitt. by non-HH migrant to HH in past 12months Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 208 1734 200 4000000 63488.346 326055.802 Amount of remitt. by non-HH migrant spent on food in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Food Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 119 1823 200 200000 8656.303 19965.316 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on education in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Education Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 43 1899 100 60000 10293.023 14383.413 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on health in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Health Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 54 1888 100 400000 14646.296 55544.895 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on rent in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Rent (house, land) Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 8 1934 1000 84000 26125 31054.963 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on marri./funer. in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Marriage/funeral Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 16 1926 1000 100000 21700 29478.014 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on cars/trucks in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Cars/trucks Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 1 1941 10000 10000 10000 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on rebuild house in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Rebuild house Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 3 1939 3000 5000 4166.667 1040.833 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on new house in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Build new house Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 5 1937 1000 2000000 538200 843534.943 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on business in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Business Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 19 1923 1000 1000000 67973.684 227074.417 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on land in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Land purchase Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 2 1940 100000 2000000 1050000 1343502.884 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on farm improve. in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Improved farming Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 3 1939 3000 50000 19333.333 26576.932 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on phys. invest. in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Migrant physical investment Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 10 1932 500 200000 26380 61898.749 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on finan. assets in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Financial assets (bonds, stocks) Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 4 1938 20000 2000000 575000 951717.745 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on intended recipient in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Transfering to the intended recipient Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 18 1924 500 200000 32761.111 52057.922 0 none 777 n\a 888 dk 999 missing Amount of remitt. by non-HH migrant spent on other in past 12months How did your household spend this money sent by this non-household migrant over the past 12 months? Other (specify) Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 34 1908 500 200000 22573.529 39552.637 0 none 777 n\a 888 dk 999 missing Total amount of remitt. by non-HH migrant spent on food items in past 12months Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 121 1821 200 500000 11007.24 45761.573 Total amount of remitt. by non-HH migrant spent on non-food in past 12months Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 154 1788 500 4000000 77101.948 372122.045 Proportion of remitt. by non-HH migrant spent on non-food in past 12months Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 208 1734 0 1 0.601 0.419 Total value of food/goods sent by non-HH migrant to HH in past 12months 88 1854 110 130000 10230.568 20894.575 Total amount of remitt. by HH to non-HH migrant in past 12months 43 1899 0 55000 5504.651 10839.785 Amount of remitt. spent by non-HH migrant on food in past 12months How did (NAME) spend the money send in the past 12 months? Food 4 1938 700 10000 6425 4015.283 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on education in past 12months How did (NAME) spend the money send in the past 12 months? Education/fee 7 1935 500 55000 13857.143 19262.905 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on health in past 12months How did (NAME) spend the money send in the past 12 months? Health 0 1942 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on rent in past 12months How did (NAME) spend the money send in the past 12 months? Rent (house/land) 1 1941 2000 2000 2000 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on marriage/funeral in past 12months How did (NAME) spend the money send in the past 12 months? Marriage/funeral 2 1940 3000 30000 16500 19091.883 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on cars/trucks in past 12months How did (NAME) spend the money send in the past 12 months? Car/trucks 1 1941 1000 1000 1000 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on rebuilding house in past 12months How did (NAME) spend the money send in the past 12 months? Rebuild house 1 1941 6000 6000 6000 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on building new house in past 12months How did (NAME) spend the money send in the past 12 months? Build new house 0 1942 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on business in past 12months How did (NAME) spend the money send in the past 12 months? Business 3 1939 2000 18000 10000 8000 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on land in past 12months How did (NAME) spend the money send in the past 12 months? Land purchase 0 1942 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on livestock in past 12months How did (NAME) spend the money send in the past 12 months? Livestock purchase 0 1942 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 How did (NAME) spend the money send in the past 12 months? Improved farming 2 1940 500 6000 3250 3889.087 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 How did (NAME) spend the money send in the past 12 months? Migrant physical investment 0 1942 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on finan. assets in past 12months How did (NAME) spend the money send in the past 12 months? Financial assets (bonds, stocks) 0 1942 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on intended recipient in past 12months How did (NAME) spend the money send in the past 12 months? Transfering to intended recipient 1 1941 1000 1000 1000 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 Amount of remitt. spent by non-HH migrant on other in past 12months How did (NAME) spend the money send in the past 12 months? Other (specify) 0 1942 0 none 0 777 n/a 0 888 don't know 1 999 missing 0 50 0 1892 0 0 10000 514 2021.72 55 0 1887 0 0 55000 3100 9070.914 55 0 1887 0 0 55000 3567.273 9503.743 Member have lived in another country/another place in country for at least 6mont Does your household currently have a member who lived in another country or another place in this country for at least 6 months (Please copy person ID). If None, END INTERVIEW. 1935 7 1 yes 59 2 no 1876 Sysmiss 7 1897 0 45 0 1 1897 0 Sysmiss 45 0 Migration destination 1942 0 0 0 1 Local migrants 553 0 2 OECD countrys 454 0 3 Africa countrys 189 0 4 Others countrys 64 0 5 Non migrant 682 0 HH unique ID 8343 0 Person ID 8343 0 Age at last birthday (years) The age of the person should be considered at the last birthday. 8097 246 0.2 555 26.73 20.531 Sex 8239 104 1 male 3940 2 female 4299 777 n/a 0 999 missing 0 Sysmiss 104 Age group 8119 224 1 6 years and below 1261 2 7-11 years 902 3 12-14 years 604 4 15-17 years 426 5 18-24 years 1342 6 25-34 years 1208 7 35-44 753 8 45-54 691 9 55-64 491 10 65+ 441 Sysmiss 224 Marital status 8206 137 1 married 2814 2 engaged to be married 56 3 cohabiting/consensual union 12 4 separated 75 5 divorced 62 6 widowed 317 7 single/never married 4870 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 137 Birth place (name) The birth place is important in identifying the place of origin and it is in this case the district of born. 7118 0 0yugis 2 999 155 9999 1 Alego 1 Amagoro 1 America 1 Amisi 1 Asembo 1 Athi River 5 Athi river 14 Awendo 9 Baidoa 1 Banana 18 Banita 2 Barani 4 Baringo 9 Baringo central 1 Beirut 1 Bendera 3 Bhtsotso 1 Blandogo 1 Bobasi 1 Bomachoge 4 Bomani 1 Bombani 1 Bomdo 1 Bomet 3 Bondo 18 Bonyunyu 1 Boochi Kisii 1 Borabu 1 Brakachembe 1 Brazil 1 Britain 2 Bugoma 1 Buhani 4 Bungoma 17 Bunyala 16 Bunyala 2 1 Bunyole 1 Bunyore 7 Bunyure 1 Burundi 7 Busheri 1 Bushiangala 66 Bushiangalia 3 Bushingala 7 Busia 8 Butere 19 Butieri 1 Butsotso 1 Canada 5 Chambale 1 Chambiti 1 Charakal 3 Chavakali 1 Chekalini 2 Chemelil 1 Chonyi 3 Chuda 1 Chuka 1 Chumani Kilifi 1 Chumani- Kilifi 1 Chwele 1 Coast 1 Coconi 1 Congo 1 Cucha 1 Dabaso 1 Dadaab 8 Dagorreti 1 Denmark 2 Dhiwa 1 Duruma 1 Egago 1 Eldoret 6 Embu 204 Emohaya 1 Emuhaya 4 Emusala 1 Endeli 1 England 1 Eregi 1 Esabure 4 Esigilai 4 Ethiopia 4 Evutsende 1 Ewanga 1 Finland 1 France 1 Gachie 35 Gadah 1 Gadha 9 Gandamalindi 1 Gantundu 1 Ganze 4 Garara 2 Garasha 7 Garashani 2 Garisa 2 Garissa 373 Garisssa 1 Garite 1 Garrisa 3 Gatanga 25 Gathiga 36 Gatundu 29 Gede 7 Gem 1 German 2 Germany 1 Gesiro 1 Ghana 1 Gilgill 1 Githunguri 9 Gongoni 53 Grashani 1 Gucha 33 Hamisi 6 Holland 1 Homabay 43 Idahas 1 Idaho 1 Idakho 2 Idereli 18 Idereri 30 Idohi 1 Ijaara 1 Ijara 1 Ijiara 5 Ikolomani 2 Ikuruma Kisii 1 Ikuruma kisii 1 Imusala 1 Indakhalus 5 India 9 Ingotse 1 Isebania 1 Isiolo 4 Israel 1 Isukha 2 Italy 3 Jamaa home 1 Juja 1 Kabaa 1 Kabanas 1 Kabando 2 Kabaras 1 Kabarrasi 1 Kabete 1 Kabondo 22 Kabras 4 Kaembeni 1 Kagaa 1 Kagombani 6 Kaimosi 1 Kakamega 146 Kakoneni 1 Kalama 4 Kaloleni 8 Kaluoki 3 Kamagamba 1 Kamagambo 3 Kambangui 2 Kambe 2 Kambongui 2 Kamwangi 2 Kanayadhiang 1 Kandara 6 Kangema 1 Kangundo 115 Kano 1 Kanyaandhiang 1 Kanyadhiang 26 Kanyandhiang 1 Kanzokea 1 Kapupuni 1 Karachuonyo 15 Karatina 2 Karbanet 3 Karura 2 Kasipul 17 Kathiani 1 Kawangware 1 Kedobe 1 Kegoya 1 Kegoye 45 Kendu Bay 1 Kendu-Bay 1 Kengoye 6 Kericho 22 Keroka 2 Kerugoya 2 Keumbi 1 Keumbu 1 Khayega 2 Khayewa 1 Kiambu 29 Kiamburu 1 Kiamwangi 4 Kibaoni Fundisa 7 Kibishiku 1 Kiima kimwe 1 Kikambuani 1 Kikuyu 8 Kilifi 76 Kilungu 1 Kimilili 1 Kimutwa 4 Kinago 1 Kinangop 2 Kindinye 1 Kingera 1 Kinu 1 Kirie 3 Kirinyaga 1 Kirinyanga 6 Kisa 1 Kisateto 1 Kisau 1 Kisii 182 Kisii Central 2 Kisii town 4 Kisu 1 Kisumu 84 Kitale 9 Kithonguni 5 Kitui 20 Kitumba 18 Kitutu Chache 1 Kivaywa 5 Kkamega 2 Koibatek 5 Kongo 1 Koru 2 Krachuonyo 1 Kuwait 1 Kwa Mutisya 1 Kwale 14 Kwanza 2 Kwisero 1 Kyambuko 1 Laikipia 1 Lamu 27 Liboi 1 Limuru 7 Lita 1 Lododo 1 Loitoktok 1 Londodo 1 London 1 Luanda 1 Lubao 1 Lugari 51 Lumakanda 3 Lunga Lunga 8 Lungari 4 Lushola 5 Lusumu 26 MUranga 1 Mabanda 20 Mabrui 3 Machakos 97 Machoks 1 Mahanga 7 Majengo 3 Makadara 1 Makaveti 1 Makhukhuni 1 Makueini 1 Makueni 14 Makueni-Wote 1 Malaba 1 Malaha 13 Malanga 1 Malasya 1 Malindi 165 Mambrui 1 Manadera 2 Mandera 20 Mangauni 1 Mangu 1 Marafa 1 Maraga 2 Maragoli 3 Maragu 1 Marakusi 1 Marangua 1 Mariakani 2 Marsabit 2 Maseno 1 Masuguru 1 Matara 1 Matere 13 Matetani 7 Matonamana 1 Matunga 1 Matzugulu 1 Mau-narok 1 Mazaha 3 Mbagara 3 Mbale 56 Mbeere 1 Mbita 1 Mbiuni 1 Mbondoni 1 Mbooni 4 Mbukuga 1 Mchakos 1 Meru 11 Metembe Kisii 3 Mida 1 Migoi 1 Migori 396 Migoro 1 Mikinnani 1 Misufini 1 Mjumboni 1 Mogori 23 Molo 15 Mombasa 265 Mt.Elgon 5 Mtondia 3 Mtundio 5 Mugunga 1 Mukhoje 1 Mukinyi 2 Mukuli 9 Mukumu 6 Mumbai 1 Mumias 7 Munugi 1 Muranga 38 Musambeni 1 Musori 6 Musuluni 1 Mutembe 12 Muthetheni 1 Muuzaastsi 1 Muyeye 1 Mwala 2 Mwamba 3 Mwanyani 1 Mwanza 1 Mwea 1 Mwimuto 2 Mwingi 8 Mzulyu 1 Mzuri 1 Nabdi 1 Naiobi 5 Nairobi 273 Nairoi 1 Nairrobi 1 Naivasha 2 Nakuru 130 Nandi 16 Nanyuki 2 Narok 8 Narumoro 1 Ndagi 5 Ndeiya 1 Nderema 8 Ndhiwa 3 Ndiwa 1 Ndubai 4 Nduberi 7 Ndumberi 4 Ngamboji 1 Ngivusambo 1 Ngong 5 Nguuni 1 Nigeria 2 Nigori 3 Njoro 23 Njprp 1 North kinangop 1 North kinanongop 1 Ntimaru 1 Ntonyiri 2 Nyabola 1 Nyahururu 6 Nyakach 14 Nyakachi 1 Nyamache 1 Nyamagwa 1 Nyamarambe 1 Nyamira 36 Nyandarua 6 Nyando 8 Nyaribari 1 Nyaribari Masaba 4 Nyathuna 28 Nyatike 1 Nyaura 1 Nyeri 45 Nyokobara 1 Ogembo 1 Oyugis 34 Pakistan 1 Pan Paper 1 Pan paper 4 Pandya 1 Phillipines 1 Pumwani 3 Rabai 3 Racchuonyo 1 Rachuanyo 1 Rachunyo 1 Rachuony 1 Rachuonyo 264 Racxhuonyo 1 Ranchuonyo 1 Ranen 1 Rarienda 2 Riamagale 3 Riamagare 7 Riamangare 6 Riamathere 1 Rianaginga 5 Roka 1 Rongo 32 Ruiru 1 Rumagare 6 Ruui 1 Rwanda 1 Ryena 3 Sabaki 2 Sabatia 4 Samburu 6 Samia 2 Saud Arabia 1 Saudi Arabia 3 Shemahoho 1 Shianda 2 Shimoni 3 Shinyalu 15 Shirere 1 Shivakali 1 Shivanga 1 Shomela 1 Siakago 1 Siaya 362 Sigona 40 Sisiru 1 Solai 4 Somali 11 Somalia 7 Sotik 1 South Africa 1 South Korea 1 South maragoli 1 Suba 2 Sudan 1 Sulai 1 Suneka 6 Sweden 2 Taiata 1 Taita 9 Taiti 1 Tala 2 Tana River 12 Tana river 1 Tanzania 19 Taveta 4 Teso 1 Tharaka 2 Thika 35 Timboni 10 Tingania west 1 Tiriki 8 Tombe 2 Trans Nzoia 1 Tranzoia 1 Triki 1 UK 6 USA 5 USA-Michigan 2 Uasin Gishu 2 UasinGishu 1 Ubumangari 1 Uganda 8 Ugenya 4 Ugunja 1 Ukenyee 1 Ukundutsi 1 Uriri 1 Usenge 1 Uvalini 2 Vigese 4 Vigona 1 Viguhe 1 Vigulu 3 Vihiga 177 Voi 3 Wagige 1 Wair south 1 Wajir 22 Wajir south 1 Wanga 1 Wangige 1 Watamu 9 Webuye 5 Western 1 Wita 2 Yala 2 Yatta 1 Zanzibar 2 Zibalo 1 alindi 1 amagoro 4 amisi 1 bamba ganze 1 baringo 1 bondo 2 budaywa 1 bungoma 1 bunyore 2 busia 1 chango 1 charakli 1 chuka 3 congo 5 eldoret 1 embu 169 ethiopia 1 evungwe 1 gachie 1 gachode 10 garissa 54 garrisa 2 garrissa 5 gatanga 11 gathiga 1 gatundu 16 githunguri 2 gqrissa 1 gucha 1 homabay 1 idakho 1 idohi 3 ijaara 1 isiolo 1 isuka 1 jmbale 1 joro 1 kabondo 6 kadzinuni 1 kajiado 1 kakamega 22 kalama 1 kalimani 2 kaloleni 1 kamwangi 5 kandara 1 kangundo 33 kano 1 kanyadhiang 5 kapsabet 1 karbanet 1 kasipul 10 kegoya 1 kegoye 3 kendubay 1 kericho 4 kiambu 4 kiamwangi 8 kiamwangu 1 kiamwwangi 1 kigama 1 kiganjo 2 kihumbuini 1 kiima kimwe 1 kikampala 2 kikuyu 1 kilifi 21 kilindini 3 kilungu 1 kimbu 1 kimilili 1 kipkaren 1 kipkelio 1 kirinyaga 6 kiruguya 2 kisii 91 kisu 2 kisumu 22 kitale 3 kitui 4 koibatek 1 lamu 2 lugari 7 lumakanda 16 lumakanga 6 lumama 1 lumukanda 3 mabanda 1 machakos 29 magina 5 magui 1 maji mazuri 8 makadara 1 makindu 1 makueni 8 malaha 6 malindi 3 mandera 2 mangu 1 maragoli 3 maragua 1 marakusi 8 marere 1 masalani 1 maseno 1 mazuu 1 mbale 19 mbeere 3 mbooni 1 mbungu 1 meru 13 migoari 1 migori 10 misikhu 1 mlimani 1 molo 4 mombasa 15 mranga south 1 muranga 17 muranga south 1 mwarakaya 1 mwea 4 mwingi 3 nairbi 1 nairobi 78 nakuru 23 nandi 1 nanyuki 3 narok 1 narumoro 4 nderema 2 nduberi 1 neri 1 ngawalanji 7 ngulini 1 nigeria 3 njoro 3 ntimaru 3 nyakach 2 nyamira 4 nyeri 10 oyugis 5 rachuonyo 6 rarieda 1 ruiru 1 sabatia 4 shamitumba 1 shanzu 1 shinyalu 5 siaya 63 sigona 19 suba 1 suneka 104 taita 6 taita hills 1 tanzania 1 taveta 1 thika 20 thika town 1 tiriki 3 tombe 1 tulimani 2 uganda 2 ukia 2 uvalini 4 vegese 2 vihiga 17 vipingo 1 wajir 4 wakir 1 west Maragori 1 Birth place 8162 181 1 urban area within your country (place) 2758 2 rural area within your country (place) 5275 3 outside kenya (specify 129 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 181 Highest tertiary diploma obtained If (NAME) has completed Tertiary or higher education, what is the highest diploma/degree that he/ she obtained? (specify the area e.g. nursing, carpenter, law etc) 1159 7184 1 certificate 336 2 vocational or technical training diploma 398 3 bachelor's degree 290 4 master's degree 74 5 phd degree 17 6 other (specify) 40 7 millitary training 4 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 7184 Area of specialisation If (NAME) has completed Tertiary or higher education, what is the highest diploma/degree that he/ she obtained? (specify the area e.g. nursing, carpenter, law etc) 358 0 4th year 2 777 3 Accountant 1 Accounting 1 Accounts 3 Accounts CPAII 1 Agricultural Officer 1 Agriculture 1 Animal health 1 Animal husbandry 1 Applied science 1 Artisan 2 Auto Engeneering 1 Bachelor of commerce 1 Bachelor's degree in education 1 Banker 1 Banking 2 Business administration 3 Business administrator 1 CPA K 1 Carpentry 2 Catering 4 Certificate 1 Child 1 Commerce 1 Computer 2 Computer Programmer 1 Computer science 1 Construction 1 Crop research 1 Designer 1 Diploma 1 Driving 5 ECD 1 Early Child Development 1 Early Childhood development 1 Early childhood development 1 Ecology 2 Economics 2 Education 3 Electrical Engineering 1 Engeneering 1 Engineer 1 Engineering 2 Food and beverages 1 Hairdressing 1 Hostes 1 House keeping 1 Housewife 1 Human resource 1 IT 3 Information Technology 1 Information technology 2 Inservice 1 Institution management 1 Insurance 1 Journalist 1 MBA 1 Masonry 1 Mass Communication 1 Mechanic 3 Mechanical engineering 1 Mechanics 2 Medicine 3 None 22 Nurse 5 Nursing 3 Office management 1 P1 Teacher 1 PUPIL 1 Philosophy 1 Police training 1 Pupil 4 Road engeneer 1 Sale $marketing 1 Sales and marketing 1 Secretarial 4 Secretarial and Office Management 1 Tailoring 9 Teacher 7 Teaching 12 Theology 1 Tour guide 1 Tourism 1 Welding 2 accounting 1 accounts 3 agriculture 3 animal health 1 arts & craft 1 auto engineerin 1 bachelor of arts 1 banking 2 business administration 1 business management 1 carpentry 7 catering 4 community deveopment 1 computer 4 computer engineering 1 computer training 1 counseller 1 designer 1 dress making 1 driver 1 driving 4 education 2 electrical 1 engineer 1 engineering 1 fine art 1 fine arts 1 food and beverages 1 hairdresser 1 human reource 1 human resource 1 human resource management 1 lab technology 1 labaratory technician 1 labtechnologist 1 land surveyor 1 marketing 1 masonary 2 masonry 1 mass communication 1 mechanic 4 medical 2 medicine 2 mehanics 1 microbiology 1 nurse 4 nursery teacher 1 nursing 11 obsgyn 1 p1 teacher 1 pharmacy 2 quality assurance 1 sales and marketing 1 salonist 1 science and food technology 1 sciences 1 secretarial 5 secretary 6 social sciences diploma 1 social work 1 sociology 2 statistics 1 surveying 1 tailor 1 tailoring 4 teacher 12 teaching 41 teahcer 1 theology 3 tour guide 1 vertinary 1 veterinary 1 vetinary 1 vetinary sciences 1 welder 1 welding 1 Current work situation What is (NAME)’s current work situation? If answer is between 4 to 12 > Skip to NEXT SECTION. 7871 472 1 paid employment – full-time 1006 2 paid employment – part-time 194 3 self employed (full or part time) 1328 4 full-time student 2602 5 part-time student 35 6 unemployed / looking for work 766 7 retired from work altogether 323 8 housewife 708 9 long-term sick or handicapped 86 10 baby/child who can't work 823 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 472 Current principal occupation What is (NAME)’s current occupation? Note that question 1.3 is implied by the response in 1.2 and you do not have to ask the question. For question 1.13 ask what occupation and then categorize appropriately. 2466 5877 1 managers 128 2 professionals 386 3 technicians and associate professionals 103 4 clerical support workers 102 5 service and sales workers 581 6 agricultural, forestry and fishery workers 536 7 craft and related trades workers 113 8 plant and machine operators, and assemblers 24 9 elementary occupations 344 10 armed forces occupations 22 11 casual labourer 127 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 5877 Profession What is (NAME)’s current occupation? 1306 0 4 1 AP Police 1 Accountanat 1 Accountant 8 Accounts clerk 1 Administration police 1 Administrator 2 Agricultural officer 2 Anaesthetician 1 Animal health technician 1 Architeoorial Designs 1 Artisan 1 Assistant manager 1 Auditing firm 1 Auditor 1 Bank Clerk 1 Bank Manager 1 Bank manager 3 Banker 10 Barber 2 Bicycle repair 1 Biotechnologist 1 Bishop 1 Boat Repair 1 Boda boda operator 1 Borehole Digging 1 Broker 1 Businesman 1 Business 10 Business Lady 1 Business Person 2 Business lady 6 Business man 3 Business person 8 Business woman 4 Businesslady 2 Businessman 8 Butcher 1 CEO his Company 1 CID officer 1 Care-Taker 1 Carpenter 3 Carpentry 1 Casual Labourer 1 Casual labourer 1 Caterer 1 Cateress 1 Chef 7 Chief 1 Chief Accountant 1 Chief Executive Officer 1 Clerical Officer 1 Clerk 1 Company Driver 1 Computer operator 1 Computer programmer 1 Contractor 1 Curo shop 1 Director shipping company 1 Doctor 6 Domestic Worker 1 Domestic worker 1 Dress Maker 1 Driver 33 Drving school intsructor 1 ECD pre-Unit 1 Economist 1 Electrician 6 Electritian 1 Engineer 11 Famer 1 Farmer 73 Farming 2 Finance 1 Finance officer 1 Financial controller adivisor 1 Flower Gradar 1 Food Kiosk 1 Food Vendor 1 Gardener 4 Gardner 1 Goat Seller 1 Green crocers 1 Grocery 1 Grocery Business 1 Hair dresser 1 Hair dressing 1 Hairdresser 5 Hawker 1 Homeboy 1 Hosehelp 1 Hotel 2 Hotel Manager 1 Hotel Owner 1 Hotel attendant 1 Hotel manager 1 Hotel mnager 1 Hotelier 5 House Help 1 House boy 1 House help 2 House wife 1 Househelp 5 Human Resource Manager 1 Human esource manager 1 IT Officer 1 Interior Designer 1 Jua Kali 3 Jua kali 1 Juakali 1 KPA 2 KRA Officer 1 KRA Official 1 Kiosk 1 Laborer 1 Labourer 3 Landlord 1 Lawyer 2 Lecture 1 Lecturer 1 Librarian 1 Livestock Officer 1 Loader 1 Machine Operator 1 Madras Teacher 1 Manager Bank 1 Manager KRA 1 Manages his own Business 1 Manages his own business 1 Managing director of advertising company 1 Marketer 1 Marketing 1 Mason 2 Masonary 2 Matatu Driver 2 Mechanic 2 Mechanics 1 Meteorologist 1 Migration Officer 1 Molasses Selling 1 Musician 1 NGO CEO 1 NSIS-COORDINATOR 1 NSIS-officer 1 Nurse 7 Operates food kiosk 1 Own Business 4 Painter 1 Pastor 6 Peasant Farmer 1 Pharmacist 1 Plumber 1 Police 1 Potter 1 Poultry farmer 1 Primary Teacher 1 Principal 1 Program officer 1 Programme Oficcer 1 Programme manager 1 Programme officer 1 Project Manager 2 Project Manager in NGO 1 Project officer 1 Public Relations 1 Quality Checker 1 Quarrying 3 Real estate manager 1 Receptionist 1 Research Consultanat 1 Researcher 2 Roads Inspector 1 Runs an hotel 1 Safaricom 1 Sale Curio item 1 Sale and marketing 1 Sales 2 Sales Milk 1 Sales Person 2 Saloon 1 Saloonist 1 Sarocomdealer 1 School cook 1 Secretary 1 Securicor 1 Sells Car parts 1 Sells Clothes 1 Sells Fish 1 Sells Groceries 2 Sells Vegetables 2 Sells clothes 1 Sells cosmetics 1 Sells phone accesories 2 Servant 1 Shamba Boy 2 Ship Captain 1 Shop Keeper 1 Shopkeeepr 1 Shopkeeper 8 Shopkeepr 1 Sisal Farm worker 1 Software development company 1 Sub farmer 1 Subsistence farmer 3 Subsitance famer 1 Subsitence Farmer 1 Substance farmer 1 Supermarket 1 Surveyor 1 Tailor 7 Tailoring 2 Taxi Driver 5 Taxi Operator 1 Teaccher 1 Teacher 34 Teaching 3 Technical engineer 1 Technician 1 Tourism 2 Town Council 1 Traditional liquor deller 1 Traditioner liquor deller 1 Trainer 2 USAID/RTI 1 United Nations 1 Vegetable Vendor 2 Waiter 3 Watchman 2 Water Operations 1 Witress 1 Works in a Hotel 1 account manager 1 accountant 8 administrator 3 agricultarist 1 agricultural officer 1 agricultural research 1 agricultural worker 1 agriculturalist 1 artist 1 banker 6 bar owner 1 barber 1 boda boda 1 boda boda operatoer 1 boda boda operator 1 bodaboda operaore 1 bodaboda operator 2 bookshop 2 brick maker 1 brick making 1 busineessman 1 business 14 business consultant 1 business lady 13 business man 5 business person 1 business woman 4 businesslady 7 businessman 9 businesswoman 3 bussiness man 1 busuness lady 1 butcherman 1 butchery 1 captain 1 caretaker 1 carpenter 11 carpentry 2 cash crop farmer 1 cashier 3 casual labourer 4 cateress 1 catering 1 cereal dealer 2 cereal seller 1 charcoal dealer 1 chef 1 cleaner 1 clearing and forwarding 1 clerk 4 clinical officer 3 communit worker 1 community development 1 compute engineer 1 computer business 1 computer programmer 1 computer technician 1 construction worker 1 contractor 2 cook 4 criminal investigator 1 dairy farmer 1 dairy keeper 1 day care institution 1 deputy school manager 1 designer 1 director 1 director of comp 1 doctor 2 domestic servant 1 domestic worker 2 driver 21 economist 1 editor 1 electrical shop 1 electrician 3 engineer 2 eseacher 1 famer 1 farm help 2 farm helper 1 farm labourer 3 farm worker 2 farmer 179 farmers 1 farmm labourer 1 financial consultant 1 fisherman 1 florist 1 flower farm worker 1 forest clerk 1 gardener 3 green grocer 2 green grocery 1 greengrocer 1 grocery 2 guard 1 guidance and counselling 1 hair dresser 1 hairdresser 3 hawker 4 health officcer 1 hotel 3 hotel business 1 hotel manager 1 hotel operater 1 hotelier 1 house help 2 house keeping 1 houseboy 1 houseby 1 househelp 7 human resource manager 1 importing clothes 1 inflight atttendant 1 information officer 1 inspector of schools 1 inspector police 1 jua kali 8 juakali 1 lab technician 2 labaratory 1 labaratory-technician 1 labourer 13 land surveyor 1 lecturer 6 lfower fram worker 1 livestock farmer 2 livestock-farmer 1 maizemiller 1 manager claering firm 1 manager in pub$ restaurant 1 manager merchandise shop 1 manager of an Academy 1 manager petrol station 1 managing director cooperative bank 1 mason 8 masonary 2 masonery 2 masonry 1 matatu operator 1 matatu tout 1 mechanic 8 mechanics 2 motor vehicle mechanic 1 musician 1 nurse 13 nursery teacher 2 nursing 4 parking tea leaves in a factory 1 pastor 4 peasant farmer 4 phamarcist 1 pharmacist 1 photpcopy business 1 plant Engineer 1 plant machine operator 1 post mssenger 1 potter 1 program manager 2 programme manager NGO 1 project manager 1 public health officer 1 registration clerk 1 repairing bicycles 1 repairing of bicycles 1 researcher 1 retail shop seller 1 road engeneer 1 safaricom dealer 1 sale lady 1 sales 1 sales "Miraa" 1 sales and marketing 3 sales executive 1 sales lady 8 salesman 2 sallon 1 salonist 1 saloonist 4 school manager 1 secondary school teacher 1 secretary 11 selling charcoal 1 selling clothes 1 selling clthes 2 selling greeen grocery 1 sells Groceries 1 sells car part 1 sells cearals 1 sells cereals 1 sells clothes 5 sells curios 1 sells fish 2 sells food 1 sells groceries 3 sells groundnuts 1 sells paraffin 1 sells phone accesories 1 sells phones 1 sells vegetables 1 servant 5 shamba boy 3 shoe vender 1 shopkeeper 15 shpokeeper 1 small scale farmer 1 social service officer 1 software development company 1 statistician 1 store manager 1 store-keeper 1 student 1 subsistance farmer 2 subsistence farmer 3 subsistence farming 1 subsitance farmer 2 tailor 11 tailoring 2 taxi driver 2 taxi operator 1 teacher 71 teaching 7 technical manager 1 telephone operator 1 tour guide 1 truck driver 2 vegatable vendor 1 vertinary officer 1 veterinary 1 veterinary doctor 1 vetinary officer 1 videographer 1 waiter 4 waitress 2 waittress 1 watchman 3 water Technician 1 water technician 1 weeding decorator 1 welder 3 Relationship to HH head Note that the household head is not necessary the “father” or the “mother”. 8197 146 1 head 1897 2 spouse 1146 3 partner 13 4 son/daughter 3593 5 son/daughter-in-law 93 6 father/mother 31 7 brother/sister 167 8 parent-in-law 21 9 grandson/granddaughter 713 10 nephew/niece 132 11 other relative 153 12 servant / employee 183 13 other non-relative 55 777 n/a 0 888 dk 0 999 missing 0 Sysmiss 146 Religion 8222 121 1 moslem 1396 2 catholic 1863 3 protestant 4813 4 traditional 77 5 other 4 6 no religion 47 7 hinduisim 14 8 jewish 2 9 budhist 6 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 121 Tirbe 8185 158 1 kikuyu 1353 2 luo 1838 3 kalenjin 102 4 kamba 545 5 kisii 617 6 luhya 1416 7 kenyan 28 8 meru 48 9 embu 405 10 kipsigis 9 11 briton 7 12 indian 25 13 borana 6 14 cuothi 2 15 parsee 2 16 irish 1 17 brazilian 1 18 dutch 2 19 italiano 3 20 digo 104 21 samburu 1 22 taita 58 23 pokot 8 24 somali 381 25 canadian 4 26 finish 1 27 nigerian 6 28 rwandese 2 29 maasai 8 30 ogaden 168 31 pokomo 55 32 dogodhia 26 33 garre 2 34 girriama 322 35 scottish 1 36 burundian 6 37 ethiopia 7 38 nubian 8 39 congolese 15 40 ghananian 1 41 ugandan 1 42 seychellois 2 43 germanese 5 44 hebrew 1 45 swedish 2 46 harsee 3 47 awthak 13 48 ajuran 3 49 mbeere 12 50 kauma 48 51 arab 119 52 bajuni 108 53 chonyi 59 54 mjibana 8 55 mnyamwezi 2 56 tirimi 3 57 duruma 17 58 orma 6 59 mukambe 1 60 mugunya 3 61 rabai 3 62 hindu 7 63 mnyasa 6 64 kuria 5 65 banyore 5 66 maragoli 54 67 bukusu 2 68 idakho 2 69 sukha 14 70 tiriki 14 71 sumra 18 72 kissi 1 73 mujita 1 74 ribe 13 75 philipine 1 76 bhrahmin 6 77 swahili 17 78 danish 1 79 american 5 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 158 Highest level of schooling completed What is the highest level of schooling that (NAME) completed? 8203 140 1 no formal education 2269 2 primary school 3058 3 secondary school 1640 4 post-primary technical/vocational school 144 5 post-secondary technical/vocational school 619 6 university undergraduate 346 7 graduate school 102 8 other (specify) 9 9 don’t know 16 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 140 Number of years of schooling completed How many total years of schooling has (NAME) completed in the indicated level? 5899 2444 1 25 8.013 4.379 Migration destination 8343 0 1 Local migrants 2399 2 OECD countrys 1893 3 Africa countrys 870 4 Others countrys 277 5 Non migrant 2904 HH unique ID 1896 0 1 Existence of bank account for HH member Does anyone in your household have a bank account? If yes, copy ID of each person with bank account. 1896 0 1 yes 1893 2 no 3 ID code of member with bank account Does anyone in your household have a bank account? If yes, copy ID of each person with bank account. Q4.1 asks whether anyone in the household has a bank account. It is important here to copy the ID (identification of the member from the listing of household members) of each and every person in the household who has a bank account. 1896 0 1 1153 2 481 3 153 4 76 5 29 6 3 9 1 777 n\a 0 888 dk 0 999 missing 0 Number of years since the first account opening How long has he/she had the bank account? Q4.2 collects information on how long each person has had a bank account 1848 48 777 n\a 888 dk 999 missing Purpose of opening the first bank account 1 What was the purpose of opening his/ her bank account? Q4.3 asks why each person decided to open a bank account. 1841 55 1 savings 1333 2 sending money 29 3 receiving money 193 4 taking loans 34 5 salary 251 6 other (specify) 1 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 55 Purpose of opening the first bank account 2 What was the purpose of opening his/ her bank account? Q4.3 asks why each person decided to open a bank account. 107 1789 1 savings 16 2 sending money 30 3 receiving money 25 4 taking loans 9 5 salary 27 6 other (specify) 0 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1789 Purpose of opening the first bank account 3 What was the purpose of opening his/ her bank account? Q4.3 asks why each person decided to open a bank account. 37 1859 1 savings 0 2 sending money 4 3 receiving money 24 4 taking loans 3 5 salary 6 6 other (specify) 0 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1859 Purpose of opening the first bank account 4 What was the purpose of opening his/ her bank account? Q4.3 asks why each person decided to open a bank account. 20 1876 1 savings 0 2 sending money 0 3 receiving money 2 4 taking loans 10 5 salary 8 6 other (specify) 0 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1876 Purpose of opening the first bank account 5 What was the purpose of opening his/ her bank account? Q4.3 asks why each person decided to open a bank account. 13 1883 1 savings 1 2 sending money 0 3 receiving money 0 4 taking loans 3 5 salary 9 6 other (specify) 0 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1883 Have an ATM or debit card Does this person have an ATM or Debit card? 1861 35 1 yes 1495 2 no 365 3 1 777 n\a 0 999 missing 0 Sysmiss 35 Ever use mobile phone to make bank transactions Does this person ever use mobile phone to make bank transactions? 1848 48 1 yes 555 2 no 1293 777 n\a 0 999 missing 0 Sysmiss 48 HH unique ID 2245 0 Person ID 2245 0 Existence of a member living outside HH (migrant) Does your household currently have a member not living within the household? 2209 0 A member who has lived outside for more than six months Sex of migrant What is the sex of (NAME) who is currently living outside your household? Q5.2 to Q5.4 ask about the sex, age and relationship to the head of household of each former member of the household who is currently living outside of the household. 2236 9 1 male 1317 2 female 919 777 n\a 0 999 missing 0 Sysmiss 9 Age of migrant How old is (NAME) who is currently living outside your household? YEARS Q5.2 to Q5.4 ask about the sex, age and relationship to the head of household of each former member of the household who is currently living outside of the household. 2173 72 0 none 0 1 1 2 2 3 1 4 3 5 2 6 2 7 5 8 5 9 9 10 6 11 8 12 9 13 3 14 7 15 7 16 14 17 9 18 32 19 28 20 75 21 41 22 67 23 70 24 88 25 125 26 98 27 92 28 133 29 71 30 139 31 62 32 92 33 54 34 53 35 103 36 54 37 54 38 47 39 39 40 80 41 19 42 42 43 24 44 20 45 44 46 21 47 22 48 28 49 17 50 27 51 6 52 14 53 10 54 11 55 15 56 10 57 5 58 5 60 9 61 1 62 3 63 3 65 5 66 3 67 3 69 3 70 7 72 1 74 1 75 2 80 1 82 1 777 n\a 0 888 don't know 7 999 missing 0 Sysmiss 65 Age group Q5.2 to Q5.4 ask about the sex, age and relationship to the head of household of each former member of the household who is currently living outside of the household. 2172 73 1 18 and below 125 2 19-25 496 3 26-35 897 4 36-50 535 5 over 50 119 Sysmiss 73 Relationship of migrant to the head of HH What is the relationship of (NAME) to the head of the household? Q5.2 to Q5.4 ask about the sex, age and relationship to the head of household of each former member of the household who is currently living outside of the household. 2209 36 1 spouse 269 2 son/ daughter 1489 3 son/ daughter-in-law 87 4 father/ mother 62 5 brother/ sister 227 6 grand daugther/grandson 40 7 non-relative 2 8 other relatives 33 777 n\a 0 999 missing 0 Sysmiss 36 Current marital status of migrant In what country was (NAME) born? 2231 14 1 urban area within your country (place) 915 2 rural area within your country (place) 1150 3 outside kenya specify 166 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 14 Birth place of migrant 1905 0 999 34 America 4 Baringo 5 Baringo Central 1 Baringo central 1 Belgium 1 Bomani 1 Bondo 1 Brazil 1 Britain 4 Buhana 1 Buhani 2 Bungoma 8 Bunyala 4 Bunyaor 1 Bunyoke 1 Busia 3 Butere 1 Canada 7 Chuda 2 Congo 3 Dadaab 3 Denmark 2 Dubai 4 Ehtiopia 1 Eldoret 8 Embu 59 Esabure 1 Esigilai 4 Gachie 15 Gahcie 1 Garissa 84 Gatanga 5 Gathiga 6 Gathika 1 Gattundu 1 Gatundu 8 German 3 Germany 4 Gilgil 1 Githunguri 1 Gongoni 12 Gonngoni 1 Gucha 19 Hansburg 1 Homabay 2 Idereli 8 Idereri 6 Igeze 1 Ikuruma Kisii 3 Indakhalasi 2 Indereli 2 India 5 Ireland 1 Isiolo 3 Italy 7 Juja 3 Kabaa 1 Kabondo 1 Kagombani 1 Kagombori 1 Kaimosi 2 Kakamega 27 Kakamenga 1 Kaloleni 1 Kamwangi 6 Kangundo 26 Kanyadhiang 9 Kanyandhiang 2 Kapenguria 1 Karachuonyo 2 Kasipul 5 Kasombari 2 Kauma 1 Kavalanji 2 Kegoye 12 Keicho 1 Kericho 9 Kerocho 1 Keroka 2 Kiabugura 1 Kiambu 2 Kiamwangi 2 Kiamwangui 1 Kikuyu 3 Kilifi 6 Kilome 1 Kinango 1 Kirinyaga 1 Kisii 76 Kisii town 1 Kisumu 33 Kitale 3 Kitengela 1 Kithimu 2 Kitui 4 Kitumba 11 Kitutu chache 1 Kwale 2 Lamu 10 Limuru 2 Loduar 1 Loitoktok 1 Londodo 1 London 2 Lugari 2 Lugulu 1 Lusola 1 Mabanda 4 Mabrui 2 Machakos 7 Madanda 1 Magarini 1 Magina 1 Mahanga 3 Makueini 2 Makueni 8 Makuieni 1 Malaha 3 Malindi 21 Mandera 4 Mangu 3 Maseno 1 Matere 2 Mbale 17 Mbeere 1 Mbooni 1 Meru 6 Migori 72 Modogashe 1 Mogori 2 Molo 6 Mombasa 56 Muhoroni 1 Mukuli 2 Mukumu 1 Mumias 4 Muranga 11 Mutembe 7 Mutuate 1 Mwaani 1 Mwala 1 Mwimuto 1 Mwingi 1 Naiobi 2 Nairobi 186 Nairoobi 1 Naivasha 2 Nakuru 59 Namimbia 1 Nandi 5 Nanyuki 1 Narok 1 Navakholo 1 Ndagi 1 Nderema 3 Nduberi 2 Ndumberi 2 Nertherlands 1 Nigeria 5 Njoro 2 Norway 3 Nyamira 13 Nyandarua 1 Nyaribari Masaba 1 Nyatike 1 Nyeri 11 Oyugis 11 Rabai 1 Rachuonyo 47 Ranchuonyo 1 Riamagale 1 Riamagara 3 Riamagare 2 Rimagare 1 Rongai 2 Rongo 5 Ruiru 1 Rwanda 2 Ryena 9 S.Arabia 1 Sabatia 1 Saudi Arabia 2 Shiandu 1 Shinyalu 1 Siaya 74 Siguta 1 Somali 5 Somalia 1 South Afirca 1 South Africa 1 South africa 1 South korea 2 Suba 1 Sudan 4 Suneka 3 Taiata 1 Taita 6 Tana River 1 Tana river 4 Tanariver 1 Tanzania 6 Texas 6 Thika 14 Tingania 2 UAE 1 UK 13 UK-London 1 US 1 USA 30 Uganda 6 Ugenya 1 Uk 1 United Emirates 1 Usenge 1 Uvalini 1 Vigese 1 Vihiga 22 Vuhiga 1 Wajir 2 Watamu 2 Watamu-Mombasa 1 Webuye 5 Wito 2 Zanzibar 1 america 1 baringo 1 bungoma 1 bunyore 1 butere 1 canada 2 congo 1 embi 1 embu 27 gachode 3 garisa 2 garissa 9 garrisa 1 garrissa 1 gatanga 2 gatundu 2 germany 8 hamisi 1 kakamega 5 kamwangi 6 kangema 1 kangundo 5 kasipul 1 kegoye 11 kiamba 1 kiambu 1 kiamwangi 2 kiamwangui 1 kiganjo 5 kikampala 1 kilifi 3 kisii 20 kisumu 10 kitale 8 lodwar 1 lumakanda 3 machakos 4 maji mazuri 2 makueni 2 malaha 1 malindi 2 mandela 1 mangu 2 mariakani 1 maseno 1 mbale 10 meru 4 migori 5 mombasa 8 mtwapa 1 munzatsi 1 muranga 9 nairobi 56 nakuru 4 nderema 1 njoro 2 nyeri 4 oyugis 6 rachuonyo 7 rarieda 1 rongo 2 rutune 1 sabatia 2 scotland 1 siaya 21 suneka 31 taita 1 thika 8 tulimani 3 usa 1 vihiga 1 wajir 1 webuye 1 Primary reason for migrant living outside HH What is the primary reason why (NAME) is currently living outside your household? 2236 9 1 education 582 2 search for work 561 3 job transfer/job opportunity 713 4 civil conflict/ war 2 5 marriage arrangement 177 6 divorce/marriage dissolution 6 7 death of spouse or partner 0 8 family problems 27 9 moved to join other family members 75 10 return to original or previous home 63 11 do not own agricultural land to work here / don’t have enoug 12 12 poor quality of land or depleted soils 1 13 health problems 4 14 drought 0 15 political factors 1 16 won green card 12 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 9 Migrant working/looking for work Is (NAME) who is currently living outside your household working or looking for work? Q5.7 asks about the “work status” of each former household member who is currently living outside of the household. 2224 21 1 yes, currently working 1480 2 yes, currently looking for work 154 3 no 561 4 don’t know 29 777 n\a 0 999 missing 0 Sysmiss 21 Current residence of migrant (local/foreign) 2206 39 0 local 1204 1 foreign country 1002 Sysmiss 39 Current residence of migrant (by locality) 2206 39 1 oecd 653 2 africa 253 3 other 96 4 local urban 996 5 local rural 208 Sysmiss 39 Current residence of migrant (name) 998 0 . 1 999 4 Athi river 2 Bam 1 Banana 2 Baringo 1 Bondo 2 Bungoma 5 Bunyala 2 Bunyore 4 Busia 8 Butere 1 Changamwe 1 Dadaab 1 Dadab 1 Eldamaravin 2 Eldoret 38 Embu 10 Garissa 6 Gathiga 2 Gatundu 1 Gilgil 4 Homabay 9 Isiolo 2 Juja 1 Kabanas 1 Kabungi 1 Kakamega 4 Kakamenga 1 Kapsabet 2 Kenyeya 2 Kericho 12 Kerocho 1 Kiambu 4 Kiambu town 1 Kibwezi 1 Kilgoris 1 Kilifi 1 Kisii 10 Kisumu 39 Kitale 8 Kithimu 2 Kitui 4 Kuria 2 Lamu 2 Likoni 3 Limuru 5 Loduar 1 Loi 1 Loitoktok 1 Lungale 2 Machakos 6 Machokos 1 Makuba 1 Makueini 2 Makueni 5 Malaba 1 Malindi 2 Mandera 2 Masalani 1 Maseno 1 Mbeere 1 Mbooni 1 Mchakos 1 Meru 4 Migori 9 Mogori 1 Moi's Bridge 1 Molo 4 Mombasa 55 Muhoroni 2 Mumias 9 Muranga 1 Mwea 1 Nairobi 403 Naitiri 4 Naivasha 7 Nakuru 35 Nanyuki 2 Narok 15 Ndenderu 1 Nduberi 1 Niarobi 2 Njoro 4 Nyahururu 2 Nyamira 3 Nyathuna 1 Nyeri 7 Nzoia 1 Oyugis 1 Riandu 1 Rongai 2 Siaya 1 Soi 1 Sondu 1 Suba 1 Taiata 1 Taita 1 Tana River 1 Teso 1 Texas 4 Thika 5 Tigania 1 Trans-mara 1 USA 1 Uasin Gishu 1 Ugenya 1 Ukunda 1 Vihiga 4 Wajir 5 Wangige 1 Westland 1 bungoma 1 eldoret 2 embu 4 finland 1 gachura 1 kakamega 1 kamae 3 kandara 1 kangema 1 kericho 1 kisii 1 kisumu 3 kitale 1 kitengela 1 likaya 1 maasai mara 1 machakos 2 malindi 2 mandera 1 mangu 6 meru 1 mombasa 13 mumias 1 muranga 3 mwingi 1 nairobi 56 naivasha 1 nakuru 2 narok 1 njoro 1 ntheruri 1 nyahururu 1 nyeri 2 othaya 1 rongo 1 ruiru 2 rutune 1 shinyalu 3 sigona 2 thika 5 ufanisi 1 webuye 1 western 1 Means of transportation for migration 1156 1089 1 road 683 2 air 470 3 water 3 777 n/a 0 888 don't know 0 999 missing 0 Sysmiss 1089 Provider of fund for migration 1138 1107 1 friends 112 2 other relatives 237 3 self 478 4 parents 260 5 employer 38 6 spouse 11 7 sponsor 1 8 greencard 1 Sysmiss 1107 906 1339 1 no other country 814 2 india 7 3 usa 7 4 uk 12 5 nigeria 5 6 tanzania 16 7 sudan 2 8 norway 2 9 united emirates (uae) 3 10 switzerland 2 11 german 4 12 ethiopia 2 13 saudi arabia 1 14 australia 3 15 uganda 10 16 malawi 1 17 iraq 1 18 somali 0 19 italy 2 20 congo 3 21 zanzibar 2 22 botswana 2 23 rwanda 1 24 libya 1 32 1 40 2 Sysmiss 1339 Duration migrant living in current location (years) How long has (NAME) lived in his/her current location? 2058 187 1 56 6.457 6.678 777 n\a 999 missing Duration migrant living in current location (months) How long has (NAME) lived in his/her current location? 882 1363 1 30 5.752 3.49 777 n\a 999 missing Number of months migrant living in current location 2170 75 1 672 75.558 79.489 777 n\a 999 missing Month group of migrant living in current location 2176 69 1 12 and less 255 2 13-36 590 3 37-60 491 4 61-120 520 5 over 120 320 Sysmiss 69 Marital status of migrant What is the present marital status of (NAME)? 2223 22 1 married 1131 2 engaged to be married 40 3 cohabiting/consensual union 9 4 separated 29 5 divorced 18 6 widowed 27 7 single/never married 949 8 dont know 20 777 n\a 0 999 missing 0 Sysmiss 22 Living situation of migrant in current residence Who does (NAME) live with in his/her current location? 2211 34 1 alone 931 2 spouse 538 3 children 125 4 brother or sister 196 5 other relatives 212 6 household employer 21 7 don’t know 41 8 friend 20 9 spouse & children 126 23 1 777 n\a 0 999 missing 0 Sysmiss 34 Highest schooling level completed before migration What was the highest level of schooling that (NAME) completed before he/ she left the household? 2214 31 1 no formal education 65 2 primary school 407 3 secondary school 979 4 post-primary technical/vocational school 45 5 post-secondary level technical/vocational school 325 6 undergraduate university 251 7 graduate school 130 8 other (specify) 3 9 don’t know 9 777 n\a 0 999 missing 0 Sysmiss 31 Number of years of schooling completed before migration How many total years of schooling had (NAME) completed at the time of migration? 2115 130 0.6 40 11.008 4.398 0 none 777 n\a 999 missing Tertiary diploma obtained before migration If (NAME) completed tertiary or higher education before he/she left the household, what was the highest qualification 777 1468 0 1 1 bachelor's degree 263 2 vocational or technical degree 307 3 master’s degree 62 4 phd degree 11 5 mba 6 6 teaching certificate 57 7 medical degree 18 8 nursing degree 27 9 law degree 5 10 accountant 11 11 computer 3 12 police officer 6 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1468 Work situation of migrant before migration Before (NAME) left the household, what was his/her work situation? Q5.15 to Q5.17 ask questions about the current work situation and occupation about each and every person currently living outside of the household. 2196 49 1 paid employment – full-time 464 2 paid employment – part-time 95 3 self employed (full or part time) 158 4 full-time student 673 5 part-time student 16 6 unemployed / looking for work 727 7 retired from work altogether 11 8 housewife 40 9 long-term sick or handicapped 1 10 other (specify) 11 777 n\a 0 999 misiing 0 Sysmiss 49 Current work situation of migrant What is (NAME)’s current work situation? Q5.15 to Q5.17 ask questions about the current work situation and occupation about each and every person currently living outside of the household. 2126 119 1 paid employment – full-time 1124 2 paid employment – part-time 172 3 self employed (full or part time) 194 4 full-time student 319 5 20 6 unemployed / looking for work 167 7 retired from work altogether 11 8 housewife 62 9 long-term sick or handicapped 5 11 other (specify) 1 12 don’t know 51 777 n\a 0 999 missing 0 Sysmiss 119 Current occupation of migrant What is (NAME)’s current occupation? Indicate the profession indicated e.g. teacher and code it appropriately Q5.15 to Q5.17 ask questions about the current work situation and occupation about each and every person currently living outside of the household. 1536 709 1 managers 78 2 professionals 458 3 technicians and associate professionals 102 4 clerical support workers 93 5 service and sales workers 230 6 agricultural, forestry and fishery workers 39 7 craft and related trades workers 70 8 plant and machine operators, and assemblers 28 9 elementary occupations 212 10 armed forces occupations 44 11 don’t know 180 12 2 777 n\a 0 999 missing 0 Sysmiss 709 Profession of migrant What is (NAME)’s current occupation? Indicate the profession indicated e.g. teacher and code it appropriately Q5.15 to Q5.17 ask questions about the current work situation and occupation about each and every person currently living outside of the household. 627 0 11 1 Accontant 1 Accountant 18 Administration police 1 Administrator 1 Airhostess 2 Airport Worker 1 Architect 1 Army 1 Ass. HR officer 1 Auditor 1 Bank Credit Manager 1 Bank Manager 1 Bank manager 1 Banker 8 Banking 1 Beautician 1 Britsh Army 1 Business 1 Business Lady 1 Business Manager 1 Business lady 2 Business person 1 Business woman 1 Businesslady 3 Businessman 1 Cabin Crew 1 Cashier 1 Caterer 2 Chef 4 Cleaner 1 Clerk 1 Clinica; Counsellor 1 Community development officer 1 Computer engineering 1 Computer programmer 3 Consultant 1 Cook 2 Counsellor 1 Diplomat 1 Doctor 19 Driver 28 Elderly Care 1 Electrician 1 Engeneer 2 Engineer 6 Evangelist 1 Farmer 2 Fishery Factory 1 Flourist 1 Hair dresser 1 Hospital Administrator 1 Hotel 1 Hotel Keeper 2 Hotel Manager 1 Hotel manager 3 Hoteleir 1 Hotelier 2 House Keeping 2 Househelp 3 Housewife 1 I.T business 1 IT Software Speacilist 1 IT officer 2 IT specialist 1 IT technician 1 Information Technology 1 Information technology 1 Information technology technician 1 Information techonolgy officer 1 Insurance clerk 1 Insurance company 1 Journalist 3 Lawyer 9 Lecturer 3 Manager 1 Manager KMC 1 Marketing 1 Marketing manager 1 Mason 1 Masonary 1 Mechanic 4 Mechanics 1 Nurse 16 Nurse aide 1 Nursing 5 Own Business 1 Paramedics 1 Pastor 1 Permanent Secretary 1 Petrol Station Attendant 1 Pharmacist 1 Police 1 Project Manager 1 Relief Advisor 1 Researcher 1 Roads engineer 1 Runs a Hotel 1 Sailor 1 Saloon 1 Secretary 2 Sells Clothes 1 Sells Fish 1 Shop Attendant 1 Shop attendant 1 Store man 1 Student 3 Tailor 4 Teacher 10 Teaching 5 Telephone Operator 1 Tour Guide 1 Tracier manager 1 Tuk Tuk Operator 1 US Marine 1 United Nations 1 Vetinary officer 1 Waiter 5 Waitress 1 Welder 3 Welding 1 accountant 9 accounts clerk hotel 1 administrator 2 animal husbandry 1 architect 1 artician 1 auto-mechaninc 1 bank manager 1 banker 5 barber 1 beuaty therapy 1 businesman 1 business 4 business lady 1 business man 1 business management 1 business manager 1 businessman 3 bussiness lady 1 cabin crew 2 car washer 1 caring for the old 1 carpenter 2 cashier 3 casual labourer 1 caterer 1 catering 1 chef 2 chief 1 civil engineering 1 cleaner 1 clearing and forwarding 1 clerk 5 clerk airport 1 clerk bank 1 clerk union car bag 1 clinical officer 1 commmnication manager 1 computer 1 computer engineerin 1 computer operator 1 conductor 1 contructor 1 cook 2 counsellor 1 customer care 1 debit manager/stachart bank 1 designer 1 director 1 doctor 6 dressmaker 1 driver 21 economist 1 electrical engineer 2 electrical shop 1 electrical technician 1 electrician 6 electritian 1 engeneer 1 engineer 4 engineering 1 fabricator 1 farmer 10 fashion designer 3 fisherman 2 florist 1 forester 1 global marketing manager 1 guard 1 haidresser 1 hairdresser 2 hawker 1 health officer 3 hotel manager 1 hotelier 1 house keeper 1 househelp 4 insurance manager 1 investor 1 it expert 2 kenol kobil attendant 2 knitting sweeters 1 lab technician 1 labaratory technician 1 labourer 1 lawyer 1 leathering 1 lecturer 4 lecturere 1 lega advisor 1 machine assembly 1 mason 2 masonary 1 masonery 1 mechanic 9 mechanics 3 medical officer 1 messenger 1 millitary 1 motor mechanic 1 musician 1 network engeeneer 1 news editor 1 nurse 19 nursing 9 nutitionist 1 office messenger 1 painter 1 petrol station attendant 1 phamarcist 1 pharmacist 1 pilot 1 planning advisor 1 plant machine operator 1 plumber 1 police 1 post mistress 1 preacher 1 printing 1 professor-University of nairobi 1 programme officcer 1 receptionist 1 researcher 1 sales 2 sales agent 1 sales lady 2 sales lady (clothes) 1 sales man 1 sales person 1 sales person in a shop 1 sales representative 1 sales supermarket 1 sales woman 1 salesman 1 saloonist 2 secretary 7 security guard 1 selling clothes 1 selling new clthes 1 sells clothes 2 sergent 1 shoemaker 1 shopkeeper 1 social scientist 1 social worker 1 soldier 1 steel engineer 1 stores manager 1 surgeon 2 tailor 4 teacher 43 teaching 3 transport 1 truck driver 2 waiter 7 watchman 1 water engeener 1 welder 7 welding 1 Money sent to migrant by HH after migration Does (NAME) send any money to your household? If answer is 2 > Go to Q5.23 (q5_23 - variable name in dataset). 2233 12 1 yes 1112 2 no 1121 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 12 Number of money transfers by migrant to HH in past 12months In the past 12 months, how many times has (NAME) sent money to your household? 1065 1180 1 150 5.401 6.319 0 none 777 n\a 999 missing Money sending chanel by migrant to HH How does (NAME) usually send money to your household? 1073 1172 1 western union 222 2 moneygram 106 3 other money transfer operator 7 4 postal money order 14 5 direct transfer to bank account 79 6 bank as paying agent for money transfer operator (e.g. weste 40 7 foreign exchange bureau 33 8 credit union 0 9 travel agency 6 10 informal individual agents 11 11 mobile phone/ telecommunications service providers (mpesa, z 350 12 through friend or relative 63 13 courier, bus, or other transport 13 14 brought back himself during visit 123 15 pre-paid cards/ atm card, re-loadable card, smart card 0 16 internet money transfer 2 17 other (please specify) 4 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1172 Total amount of remittances sent by migrant to HH in past 12months In the past 12 months, how much money in total has (NAME) sent to your household? 1056 1189 100 20000000 138580.024 911639.035 0 none 0 100 2 200 1 250 1 300 3 400 2 500 11 580 1 600 2 800 2 1000 19 1075 1 1200 4 1400 2 1500 10 2000 48 2200 1 2500 8 2900 1 3000 32 3500 2 4000 28 4200 1 4500 2 4600 1 4800 1 5000 32 5400 1 5500 1 6000 26 6500 1 7000 10 7500 3 8000 27 9000 7 10000 67 11000 3 12000 18 13000 3 14000 8 15000 25 16000 5 17000 5 18000 19 19000 1 20000 62 21000 5 22000 2 23000 2 24000 21 25000 10 26000 2 27000 4 28000 3 28700 1 30000 43 30900 1 31000 1 32000 1 33000 2 34000 1 35000 8 35400 1 36000 10 37500 1 38000 1 40000 32 42000 2 43000 1 45000 2 47000 1 48000 11 49000 2 50000 43 52000 3 55000 1 56000 2 58000 1 60000 35 63000 1 66000 1 70000 12 71000 1 72000 5 75000 3 76000 1 80000 22 82000 1 84000 8 84500 1 85000 1 90000 8 95000 1 96000 5 100000 37 102000 1 114000 1 120000 25 125000 1 130000 1 134000 1 136000 1 140000 3 144000 4 150000 14 155000 1 159000 1 160000 4 165000 1 168000 1 178000 1 180000 9 190000 1 200000 14 204000 1 210000 3 220000 2 230000 1 235000 1 240000 4 242000 1 260000 1 270000 1 280000 1 288000 1 300000 15 320000 2 350000 2 360000 1 390000 1 396000 1 400000 6 420000 1 440000 1 480000 1 500000 8 520000 1 540000 1 578000 1 600000 5 700000 2 705000 1 710000 1 750000 2 800000 3 1000000 9 1005000 1 1200000 2 1440000 1 1500000 1 2000000 5 3000000 1 6000000 2 19000000 1 20000000 1 777 n\a 0 999 missing 0 Sysmiss 1189 Recipient of money sent by migrant to HH 582 1663 1 spouse 185 2 father/mother 306 3 brother/sister 44 4 son/daughter 11 5 cousin 4 777 n/a 26 888 dont know 0 999 missing 6 Sysmiss 1663 Amount group of remittances sent by migrant to HH in past 12months 1076 1169 0 0 20 1 10000 and less 361 2 10001-50000 363 3 50001-100000 155 4 over 100000 177 Sysmiss 1169 Goods sent/brought by migrant to HH in past 12months Does (NAME) send/bring food and/or goods to your household? If answer is 2 > Go to Q5.26 (q5_26 - variable name in dataset). 1835 410 0 2 1 yes 375 2 no 1456 6 2 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 410 Total value of food/goods sent/brought by migrant to HH in past 12months What is the value of food and goods that (NAME) has sent/brought to your household in the past 12 months? VALUE (LOCAL CURRENCY) 353 1892 200 2400000 28003.853 140423.207 0 none 0 200 3 280 1 500 6 550 2 600 1 650 1 700 2 720 1 750 1 1000 21 1200 2 1300 2 1400 1 1500 6 1800 4 2000 39 2100 2 2200 1 2500 3 2700 3 3000 28 4000 21 4300 1 4320 1 4500 1 5000 32 5400 1 5500 1 5600 1 6000 10 7000 7 7800 1 8000 9 9000 1 10000 32 10400 1 11640 1 12000 3 12500 1 13000 4 14000 1 15000 6 16000 2 17000 1 18000 2 20000 18 22000 2 23000 1 24000 1 25000 3 26000 1 27000 1 28000 1 30000 10 34000 1 35000 1 36000 2 37000 1 40000 6 48000 1 50000 6 58200 1 60000 2 70000 4 79000 1 89500 1 90000 1 99000 1 100000 4 120000 2 180000 1 207000 1 300000 1 400000 1 430000 1 500000 3 2400000 1 777 n\a 0 999 missing 0 Sysmiss 1892 Number of money transfers by HH to migrant in past 12months In the past 12 months, how many times have you sent money to (NAME)? 1811 434 0 48 0.736 2.313 0 none 1455 1 81 2 88 3 82 4 32 5 7 6 18 7 5 9 4 10 13 11 3 12 20 13 1 24 1 48 1 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 434 Money sending chanel by HH to migrant How did you send money to (NAME)? 342 1903 1 western union 46 2 moneygram 19 3 other money transfer operator 0 4 postal money order 2 5 direct transfer to bank account 43 6 bank as paying agent for money transfer operator (e.g. weste 16 7 foreign exchange bureau 2 8 credit union 0 9 travel agency 2 10 informal individual agents 1 11 mobile phone/ telecommunications service providers (mpesa, z 145 12 through friend or relative 36 13 courier, bus, or other transport 6 14 brought back himself during visit 22 15 pre-paid cards/ atm card, re-loadable card, smart card 0 16 internet money transfer 0 17 other (please specify) 1 777 n\a 0 888 dk 0 999 missing 0 40000 1 Sysmiss 1903 Total amount of remittances sent by HH to migrant in past 12months In the past 12 months, how much money in total have you sent to (NAME)? AMOUNT (In local currency) 410 1835 0 4000000 103366.146 341891.402 0 none 65 400 2 500 6 600 2 700 1 800 1 1000 18 1200 1 1400 1 1420 1 1500 7 2000 19 2400 1 2500 3 3000 7 4000 6 5000 10 5500 1 6000 10 6500 1 7000 5 7500 1 8000 5 8600 1 9000 2 9600 1 10000 18 12000 4 15000 6 16000 1 17000 1 18000 2 20000 17 21000 5 22000 1 24000 7 25000 4 27000 2 28000 1 28500 1 30000 12 31000 1 34000 2 35000 2 36000 2 38000 1 40000 6 45000 2 50000 11 55000 1 60000 14 64000 1 65000 2 68000 1 70000 1 72000 2 75000 1 80000 9 88000 1 90000 2 95000 1 100000 12 102000 1 110000 1 120000 5 130000 2 135000 2 140000 2 145000 1 150000 10 160000 1 170000 1 190000 1 200000 7 210000 2 216000 1 220000 1 240000 2 250000 2 288000 1 300000 3 320000 1 386000 1 390000 1 400000 6 450000 1 500000 3 600000 3 700000 1 720000 1 750000 1 850000 1 1000000 3 1200000 1 1350000 1 1500000 1 2000000 1 4000000 2 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1835 Current residence of migrant At present where does (NAME) live? 2206 39 1 urban area within the country 996 2 rural area within the country 208 3 a) uk 133 4 b) tanzania 57 5 c) us 342 6 d) uganda 96 7 e) canada 31 8 f) germany 54 9 g) australia 25 10 h) india 17 11 i) netherlands 11 12 j) italy 27 13 k) rwanda 9 14 l) dubai 39 15 m) south africa 41 16 l) sudan 29 17 norway 11 18 united emirates (uae) 12 19 congo 7 20 liberia 1 21 sweden 2 22 israel 1 23 belgium 5 24 switzerland 4 25 china 2 26 saudi arabis 23 27 somali 2 28 libya 3 29 zimbabwe 4 30 france 3 31 zanzibar 2 32 rwanda 0 33 ethiopia 1 34 holland 1 35 denmark 4 36 iraq 1 37 egypt 1 38 botswana 0 39 russia 1 40 bulushi 0 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 39 Migration destination 2206 39 1 39 4.424 5.583 Group of current residence of migrant 2206 39 1 Local migrants 1204 2 OECD countrys 654 3 Africa countrys 253 4 Others countrys 95 Sysmiss 39 HH unique ID 279 0 Person ID 279 0 Existence of transfers received from non-HH migrant In the last 12 months, did your household receive any money and/or goods from any non-household migrant members? 234 0 1 1 999 1 Abat Chai 1 Agnes Mudigo 1 Agnes wambo 1 Akiad Oswado 1 Alivista 1 Amed Omar 1 Andrew 1 Angeline 1 Ann Wanja 1 Anthony 1 Antony 1 Beatrice Awuor 1 Beatrice Midera 1 Ben Wato 1 Benson 1 Beth Wambua 1 Betty Inyanga 1 Boniface Karumbe 1 Brivyn 1 Caroline Ogake 1 Catherine 1 Charity 1 Charles owour 1 Dalin 1 Dan 1 Daniel Areri 1 David Ayub 1 David karanja 1 Denis Makerei 1 Diana awour 1 Divina Aoko 1 Donald Mbao 1 Dorcas Bonareri 1 Doreen 1 Dorothy Mbone 1 Doughlus 1 Edward Jomo 1 Edwin Nyajui 1 Elliy oyoo 1 Emily Majengo 1 Eric Owira 1 Erik Thomson 1 Esther Wambui 1 Esther Watiri 1 Eunice 2 Eunice Obisa 1 Eunice Wanja 1 Everline Achieng 1 Felistus Ambui 1 Florence Otieno 1 Francis Miyienda 1 Francisca Njoroge 1 Fredric 1 Fridah Omboga 1 George Otieno 1 George Ouma 1 Gladys Mudigo 1 Gladys Waruino 1 Godfrey Onyango 1 Grace Adeny 1 Grace Onsongo 1 Grace Wanjiku 1 Grace njoki 1 Hanna Ruguru 1 Hassan 1 Helida 1 Henry Ndakalu 1 Hesley Paul 1 Humphrey Amata 1 Irene 1 Jack 1 Jacky agot 1 Jacob odalo 1 Jacob otieno 1 James Mwangi 1 James Njonjo 1 Jane 1 Jane Auma 1 Jane Kyalo 1 Jane Mokeira 1 Jane Nyawira 1 Jane Wanjiru 1 Jane Warira 1 Jane karanja 1 Jannet Owour 1 Jared 1 Jenifer Siga 1 Jennifer Nafula 1 Jennifer Odhambo 1 Jesca Luvai 1 Jobson 1 John Bosire 1 John Kajiji 1 John Karura 1 John Mugo 1 John Otieno 1 John Ouma 1 John mwangi 1 Johnstone Maina 1 Jonah Onditi 1 Joseph 1 Josephat 1 Josephine 1 Josephine Wangui 1 Joshua Ochieng 1 Joyce 1 Joyce Murimi 1 Judy 1 Juliano Wano 1 Julius Ochieng 1 Kahombi 1 Kanona 1 Karen Nateka 1 Kavai 1 Kennedy 1 Kennedy Ogueno 1 Kennedy otieno 1 Kimani 1 Livingstone 1 Loise Ruguru 1 Mabeya Ndege 1 Machira 1 Malachi 1 Margret Jomo 1 Martin Muguru 1 Mary 2 Mary Anaki 1 Mary Atieno 1 Mary Ochoki 1 Maureen Wanjiru 1 Maxwell Moga 1 Michael Oswago 1 Milka Okati 1 Millicent Atieno 1 Miriali 1 Missing 2 Mogan 1 Mohamed 1 Monica Obwacha 1 Mum Njau 1 Muraba 1 Musungu 1 Musyoki 1 Nadoso Silo 1 Namukhula 1 Nancy Kemunto 1 Nanjoe 1 Nelly Mwangi 1 Njeri Maina 1 Nyaboke 1 Omendo 1 Omondi Ojeta 1 Otieno 1 Otieno Gingo 1 Ouma Odera 1 Owen 1 Pally Onyango 1 Patricia 1 Patrick 2 Paul 1 Paul Oketxh 1 Pet Ongaya 1 Peter 1 Peter ochieng 1 Phanuel Nyagaka 1 Philistine 1 Rachael Ndinda 1 Rael Moses 1 Raill 1 Raphael Wanjofu 1 Rashida 1 Richard 1 Richard Osore 1 Robert 1 Ruth Makokha 1 Ruth achieng 1 Sale Salim 1 Samson Muga 1 Samuel 1 Sarifa Osman 1 Sheilla 1 Sophy Nyatuka 1 Stephen Osieyo 1 Steve Oloo 1 Steve Onsomu 1 Steven 1 Suleiman Abdul 1 Susan Fay 1 Suuabra 1 Terry Wangari 1 Tom karome 1 Ubah hassan 1 Vincent 1 Violet 1 William Ochieng 1 Williamson 1 Winfred Kamene 1 Yunis Kerubo 1 beffy Wakana 1 carol Kamau 1 david njuguna 1 eliza kinambuga 1 elizabeth imanza 1 ernest 1 fatma ali 1 fidis kakio 1 gilbert abonyo 1 halima 1 josphine waititu 1 joy 1 joyce kyalo 1 joyce wangu 1 kamau 1 mary waheto 1 mercy mwende 1 milly mulinda 1 mwangi githumo 1 peninah 1 peter 1 pricila noki 1 samuel 1 samuel gathuki 1 sicily 1 susan njeri 2 wakena 1 wanja 1 wanjiru muthoni 1 Current residence of non-HH migrant If yes to 6.1, where does this non-household migrant member currently live? Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 276 3 1 urban area within the country (place) 162 2 rural area within the country (palce) 58 3 a) uk 9 4 b) tanzania 4 5 c) us 22 6 d) uganda 3 7 e) canada 1 8 f) germany 3 9 g) australia 4 10 h) india 1 11 i) netherlands 1 12 j) italy 1 13 k) south africa 1 14 dubai 3 15 france 1 16 2 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 3 Relationship of non-HH migrant to the head of HH If Yes to 6.1, what was the relationship of this nonhousehold migrant member? Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 277 2 1 parent 19 2 brother/sister 81 3 parent \ grand parent 11 4 in laws 45 5 other relative 88 6 ex - spouse 0 7 non relative 33 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 2 Sex of non-HH migrant If Yes to 6.1, what is the sex of this nonhousehold migrant member? Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 278 1 1 male 134 2 female 144 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 1 Highest schooling level completed of non-HH migrant What is the highest level of schooling that this nonhousehold migrant member has completed? Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 279 0 1 none 13 2 primary school 54 3 middle school 11 4 secondary school 79 5 post-primary technical/vocational school 11 6 under graduate university 44 7 post-secondary technical/vocational school 35 8 graduate school 19 9 other (specify) 0 10 don’t know 13 777 n\a 0 888 dk 0 999 missing 0 Number of money transfers by non-HH migrant to HH in past 12months In the past 12 months, how many times did your household receive this money? Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 250 29 1 40 3.52 4.342 0 none 777 n\a 999 missing Money sending chanel by non-HH migrant to HH How did this non-household migrant usually send money to your household? Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 249 30 1 western union 26 2 moneygram 8 3 other money transfer operator 1 4 postal money order 2 5 direct transfer to bank account 9 6 bank as paying agent for money transfer operator (e.g. weste 1 7 foreign exchange bureau 2 8 credit union 0 9 travel agency 0 10 informal individual agents 1 11 mobile phone/ telecommunications service providers (mpesa, z 109 12 through friend or relative 40 13 courier, bus, or other transport 7 14 brought back himself during visit 41 15 pre-paid cards/ atm card, re-loadable card, smart card 1 16 internet money transfer 1 17 other (please specify) 0 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 30 Total amount of remittances by non-HH migrant to HH in past 12months In the past 12 months, how much money in total has your household received from this non-household migrant? Amount (in local currency) Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 230 49 200 4000000 57407.826 310422.958 0 none 0 777 n\a 0 888 don't know 2 999 mising 0 Non-HH migrant sent food/goods to HH in past 12months Did your household receive any food and/or goods from this nonhousehold member? Q6.2 to 6.11 are identical in wording to questions asked in the previous section (section 5). For each question, it is important to record the responses for each and every non-household person. 255 24 1 yes 99 2 no 156 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 24 Total value of food/goods sent by non-HH migrant to HH in past 12months What was the total value of food and goods received by your household from this non-household migrant over the last 12 months? 102 177 110 130000 8826.373 17774.328 0 none 777 n\a 888 dk 999 missing Number of money transfers by HH to non-HH migrant in past 12months In the past 12 months, how many times have you sent money to (NAME)? 19 260 1 12 4.895 4.383 0 none 777 n/a 888 don't know 999 missing How did you send money to (NAME)? 19 260 0 1 1 western union 0 2 moneygram 0 3 other money transfer operator 0 4 postal money order 0 5 direct transfer to bank account 1 6 bank as paying agent for money transfer operator (e.g. weste 0 7 foreign exchange bureau 0 8 credit union 0 9 travel agency 0 10 informal individual agents 0 11 mobile phone/ telecommunications service providers (mpesa, z 13 12 through friend or relative 1 13 courier, bus, or other transport 2 14 brought back himself during visit 1 15 pre-paid cards/ atm card, re-loadable card, smart card 0 16 internet money transfer 0 17 other (please specify) 0 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 260 Total amount of remittances by HH to non-HH migrant in past 12months In the past 12 months, how much money in total have you sent to (NAME)? AMOUNT (In local currency) 19 260 500 55000 12457.895 13517.902 0 none 777 n/a 888 don't know 999 missing HH unique ID 70 0 Last place before returning to HH What was the last place that (NAME) lived in before he/she returned to your household? Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 67 3 1 urban area within the country (place) 23 2 rural area within the country (palce) 11 3 a) uk 5 4 b) tanzania 0 5 c) us 9 6 d) uganda 2 7 e) canada 2 8 f) germany 3 9 g) australia 3 10 h) india 3 11 i) netherlands 0 12 j) italy 1 13 k) saudi arabia 3 14 japan 1 15 philiphines 1 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 3 Time of last migration (year) When did (NAME) last move to (PLACE)? Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 68 2 0 none 0 777 n\a 0 999 missing 0 1971 2 1978 2 1986 1 1988 1 1990 1 1992 1 1994 1 1995 2 1996 1 1998 1 1999 4 2000 4 2001 4 2002 2 2003 4 2004 6 2005 6 2006 7 2007 4 2008 12 2009 1 200711 1 Sysmiss 2 Time member returned to HH (year) When did (NAME) return to this household? Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 68 2 0 none 0 777 n\a 0 999 missing 0 1995 1 1998 1 1999 2 2003 7 2004 2 2005 1 2006 3 2007 6 2008 14 2009 30 200911 1 Sysmiss 2 Primary reason for the last migration What was the primary reason why (NAME) left the household in the last migration episode? Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 68 2 1 education 15 2 search for work 16 3 job transfer/job opportunity 15 4 civil conflict/ war 0 5 marriage arrangement 4 6 divorce/marriage dissolution 0 7 death of spouse or partner 1 8 family problems 1 9 moved to join other family members 9 10 return to original or previous home 4 11 do not own agricultural land to work here / don’t have enoug 2 12 poor quality of land or depleted soils 0 13 health problems 1 14 drought 0 15 political factors 0 16 other (specify) 0 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 2 Primary reason for choosing the last migration location What was the main reason why (NAME) chose (PLACE)? Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 68 2 1 i knew people here 13 2 i had information about the place 4 3 i had a job offer there 16 4 better wages there 2 5 better job opportunities there 6 6 more/better land there 1 7 better quality of life there 1 8 better education opportunities there 14 9 better climate 0 10 better medical care 1 11 close to family, friend 9 12 cost of moving is low 0 13 other (specify) 1 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 2 Highest schooling level completed before migration What was the highest level of schooling that (NAME) completed before he/she left the household? Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 69 1 1 none 3 2 primary school 17 3 secondary school 19 4 secondary level technical/vocational school 8 5 tertiary/university 8 6 post-secondary technical/vocational school 9 7 graduate school 5 8 other (specify) 0 9 don’t know 0 777 n\a 0 999 missing 0 Sysmiss 1 Attended school in the last migration location Did (NAME) go to school in (Place) Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 69 1 1 yes 24 2 no 43 3 dk 2 777 n\a 0 999 missing 0 Sysmiss 1 Tertiary diploma obtained in the last migration location If (NAME) completed Tertiary or higher education in (PLACE), what was the highest diploma/degree that he/she obtained? Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 26 44 1 bachelor's degree 5 2 vocational or technical training 12 3 master’s degree 4 4 phd degree 1 5 mba 2 6 teaching certificate 0 7 medical degree 0 8 nursing degree 1 9 law degree 0 10 other (specify) 1 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 44 Last work situation in the last migration location What was (NAME’s) last work situation while residing in (PLACE)? Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 65 5 1 paid employment – full-time 24 2 paid employment – part-time 4 3 self employed (full or part time) 12 4 unemployed / looking for work 7 5 retired from work altogether 2 6 full-time student 7 7 housewife 2 8 long-term sick or handicapped 3 9 in military service 0 10 other (specify) 0 11 don’t know 3 12 1 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 5 Reason for returning to HH Why did (NAME) return? Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 67 3 1 could not get residence there 0 2 could not get work permit there 3 3 work permit expired there 3 4 residence permit expired there 1 5 no intention to stay there longer 22 6 had accumulated enough money while living there 0 7 to take up temporary work here 1 8 temporary work there had come to an end for the season 8 9 got expelled from there 3 10 family reasons/problems here/there 20 11 missed family/partner/friends here 2 12 became sick 1 13 to pursue further studies 1 14 job transfer 1 15 1 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 3 Sent money to HH from last migration location Did (NAME) send any money to this household when he/she was in (PLACE)? Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 67 3 1 yes 33 2 no 34 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 3 Money sending chanel by member to HH How did (NAME) usually send money to this household? Q7.2 to 7.14 are identical in wording to questions asked in Section 5. For each question, it is important to record the responses for each and every “return migrant.” 33 37 1 western union 7 2 moneygram 1 3 other money transfer operator 0 4 postal money order 1 5 direct transfer to bank account 2 6 bank as paying agent for money transfer operator (e.g. weste 2 7 foreign exchange bureau 1 8 credit union 0 9 travel agency 0 10 informal individual agents 0 11 mobile phone/ telecommunications service providers (mpesa, z 3 12 through friend or relative 9 13 courier, bus, or other transport 0 14 brought back himself during visit 7 15 pre-paid cards/ atm card, re-loadable card, smart card 0 16 internet money transfer 0 17 other (please specify) 0 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 37 Sent money to HH for particular purpose Did (NAME) send money to this household for particular purposes when he/she was in (PLACE)? 65 5 1 yes 18 2 no 47 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 5 Specific event in response to which remittances was sent by member Has (NAME) ever sent money to your household for expenses specifically in response to the following events? (Check all that apply.) 22 48 1 drought 9 2 flood 2 3 earthquake 0 4 cyclone / storm 0 5 none 10 9 1 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 48 Member sent/brought goods to HH from last migration location Did (NAME) send/bring goods to your household when he/she was in (PLACE)? If answer is 2 > Go to Q7.27. 54 16 1 yes 16 2 no 38 777 n\a 0 888 dk 0 999 missing 0 Sysmiss 16 Member have lived in another country/another place in country at least 6months 70 0 1 yes 70 2 no 0 Person ID 70 0