CODEBOOK - mgsog.merit.unu.edumgsog.merit.unu.edu/ISacademie/docs/Codebook - Urban Househol… ·...
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CONTACT INFORMATION: Maastricht Graduate School of Governance Migration and Development Project P.O. Box 616, 6200MD Maastricht, The Netherlands Phone: + 31 43 388 4650 Fax: + 31 43 388 4864 E-mail: [email protected]
CODEBOOK
BURUNDI URBAN HOUSEHOLD DATA
Migration and Development: A World in Motion
Maastricht Graduate School of Governance, Maastricht University
Variable Label Category Frequency Percent
IS_1 Interviewer code 1 54 6.672 53 6.543 55 6.794 54 6.675 54 6.676 54 6.677 54 6.678 54 6.679 54 6.6710 54 6.6711 54 6.6712 54 6.6713 54 6.6714 54 6.6715 54 6.67Total 810 100.00
IS_2a Day of the interview n = 810 R = 7-26
IS_2b Month of the interview 1. January 0 0.002. February 0 0.003. March 810 100.00Total 810 100.00
IS_2c Year of the interview 2011 810 100.00Total 810 100.00
IS_3a Start of the interview - Hour n = 810 R = 09.00-17.00
IS_3b Start of the interview - Minute n = 810 R = 0 - 58
IS_5 1. French 10 1.232. English 0 0.003. Kirundi 780 96.304. Swahili 19 2.355. Other 1 0.12Total 810 100.00
IS_6 1. Burundi 810 100.002. Afghanistan 0 0.003. Morocco 0 0.004. Ethiopia 0 0.00Total 810 100.00
IS_7 1. Bubanza 0 0.002. Bujumbura Rural 0 0.003. Bururi 0 0.004. Cankuzo 0 0.005. Cibitoke 0 0.006. Gitega 0 0.007. Karuzi 0 0.008. Kayanza 0 0.00
Language in which the interview was conducted
2. INTERVIEWER SHEET (IS)
Province in which the interview was conducted
Country in which the interview was conducted
9. Kirundo 0 0.0010. Makamba 0 0.0011. Muramvya 0 0.0012. Muyinga 0 0.0013. Mwaro 0 0.0014. Ngozi 0 0.0015. Rutana 0 0.0016. Ruyigi 0 0.0017. Bujumbura Mairie 810 100.00Total 810 100.00
IS_8 n = 810 R = 49-59
IS_9 Colline in which the n = 810 R = 7 - 60interview was conducted
IS_10 1. Individual house 518 63.952. Apartment/flat 237 29.26
55 6.79
4.Dormitory 0 0.005. Non-residential premises used 0 0.006. Other 0 0.00Total 810 100.00
IS_11
2. Fiberglass 0 0.003. Galvanized iron 0 0.004. Wood 3 0.375. Adobe/wattle and daub 434 53.586. Aluminium/steel sheets 0 0.007. Mud/dung 0 0.008. Cane/straw/sticks/bamboo 0 0.009. No walls 0 0.0010. Other 0 0.00Total 810 100.00
IS_12 1. Concrete/cement 555 68.522. Tiles, brick, granite, stone 18 2.223. wood 0 0.004. Vinyl 0 0.005. Dirt, sand, dung 237 29.266. Cane 0 0.007. Other 0 0.00Total 810 100.00
AA_0 Age of the household member n = 4104 R = 0-99 M = 21.77 SD = 16.13
AA_1 1. Head of the hh 807 19.352. Spouse 551 13.213. Child 2064 49.48
A. HOUSEHOLD ROSTER/GRID
3.Part of house/room within a larger house
Construction material that is mainly used for the majority of the exterior walls
1.Cinderblock/brick/stone/ concrete/cement
373 46.05
A.A GENERAL INFORMATION
Relationship to the household head
Commune in which the interview was conducted
Construction material of most of the floor of the house
Type of house of the household
4. Adopted child 6 0.145. Son/daughter in law 28 0.676. Brother/sister 142 3.407. Cousin 40 0.968. Nephew/niece 71 1.709. Grand child 104 2.4910. Great grandchild 6 0.1411. Father/mother 19 0.4612. Grandfather/grandmother 7 0.1713. Aunt/uncle 12 0.2914. Mother/father in law 2 0.0515. Brother/sister in law 38 0.9116. Other family 48 1.1517. Other non-family 218 5.2318. Concubine (2nd wife) 0 0.00Missing 8 0.19Total 4171 100.00
AA_2 1. Yes 801 19.202. No 3362 80.60Missing 8 0.19Total 4171 100.00
AA_3 Gender of the household 1. Male 2062 49.44member 2. Female 2101 50.37
Missing 8 0.19Total 4171 100.00
AA_4a Year of birth of the household n = 4088 R = 1874-2011 M = 1988.55 SD = 16.42member
AA_4b Month of birth of the household member1. January 164 3.93member 2. February 251 6.02
3. March 232 5.564. April 147 3.525. May 159 3.816. June 181 4.347. July 219 5.258. August 150 3.609. September 128 3.0710. October 130 3.1211. November 114 2.7312. December 140 3.36Don't know 2148 51.50Missing 8 0.19Total 4171 100.00
AA_5 1. Single 2824 67.712. Married 1122 26.903. Divorced 60 1.444. Widowed 157 3.76Missing 8 0.19Total 4171 100.00
AA_6a First citizenship of the 1. Burundian 4028 96.57household member 2. Rwandan 24 0.58
Main respondent in this household
Marital status of the household member
3. Congolese (DCR) 109 2.614. Tanzanian 2 0.055. Other East African 0 0.006. Other Central African 0 0.007. Other West African 0 0.008. Other 0 0.00Missing 8 0.19Total 4171 100.00
AA_6b 1. Yes 46 1.102. No 4117 98.71Missing 8 0.19Total 4171 100.00
AA_6c Second citizenship of the 1. Burundian 20 43.48household member 2. Rwandan 5 10.87
3. Congolese 17 36.964. Tanzanian 1 2.175. Other East African 0 0.006. Other Central African 0 0.007. Other West African 0 0.008. Other 3 6.52Total 46 100.00
AA_7 1. Yes 239 5.732. No 3924 94.08Missing 8 0.19Total 4171 100.00
AB_1 1. No formal education 981 23.522. Incomplete pre-school 142 3.403.Complete pre-school 7 0.174. Incomplete primary 1044 25.035. Primary 364 8.736. Incomplete Secondary 779 18.687. Secondary 236 5.668. Special 140 3.369. Incomplete graduate 197 4.7210. Graduate (bachelor) 190 4.5611. Masters or higher 15 0.3612. Other non-traditional 1 0.01Don't know 67 1.61Missing 8 0.19Total 4171 100.00
AB_2 n = 3003 R = 1-55 M = 7.03 SD = 11.51
AB_3 1. Yes 2856 68.472. No 1307 31.34Missing 8 0.19Total 4171 100.00
Passport holding of the household member
Educational attainment of the household member
Literacy of the household member (read and write)
A.B EDUCATION
Second citizenship of the household member (yes/no)
Years of full time formal education of the household member
AB_4 1. In paid work 448 10.742. Self-employed:business 334 8.01
4. In education 1587 38.05
8. Permanently sick/disabled 18 0.439. Retired 45 1.08
11. Doing housework 264 6.33
13. Family worker/helper 149 3.5714. Other 167 4.00Missing 8 0.18Total 4171 100.00
AB_5 Accounting 7 0.85Administrative assistant 1 0.12Administrative director 1 0.12Administrator 2 0.24Africel 1 0.12Agronomist engineer 1 0.12Animator 2 0.24Architect 2 0.24Artist 2 0.24BCB agent 2 0.24Banker 6 0.73Bible supplier 1 0.12Biker 1 0.12Brarudi agent 1 0.12Brick supplier 2 0.24Building technician 1 0.12Business 76 9.23Business and industries 1 0.12Businessman 3 0.36Butcher 1 0.12Buyenzi 1 0.12Cabaret 1 0.12Cameraman-photographer 1 0.12Carpenter 9 1.09Cashier 4 0.49Catechesis office 1 0.12Chief 1 0.12Chief accountant 1 0.12Chief of police 1 0.12City security 4 0.49Civil servant 5 0.61Cogerco 1 0.12Combing 1 0.12
1.51
10. In community/military service
1 0.02
640 15.34
216
223
5. In education AND paid work
5.18
5.35
Primary daily activity of the household member
0.198
3. Self-employed:agricalture or herding
12. Children younger than school age
6. Unemployed and actively looking for a job7. Unemplyed, wanting a job, but not actively looking
63
Name or title of the household member's most important job
Computer programmer 2 0.24Computer specialist 1 0.12Construction company 1 0.12Consultant 6 0.73Contractor 10 1.22Conveyor 3 0.36Cook 3 0.36Coordinator 2 0.24Coordinator in youth center 1 0.12Customs officer 1 0.12DHR 1 0.12Director 6 0.73District chief 1 0.12Doctor 1 0.12Don't know 15 1.82Dressmaker 8 0.97Driver 68 8.26Driver-technician 1 0.12Drummer 1 0.12Dry cleaning machines 1 0.12Electrician 11 1.34Electrician-plumber 1 0.12Employee in OBR 1 0.12Employee in a restaurant 1 0.12Employer 1 0.12Engineer 6 0.73Entertaining team leader 1 0.12Farmer 2 0.24Fishing 1 0.12Garage keeper 1 0.12Gardener 1 0.12General director of WISE 1 0.12Groume 1 0.12Guard 4 0.49Guarding company 1 0.12Hairdresser 11 1.34Handicraft 1 0.12Head (chaloi) 2 0.24Head of association 2 0.24Head of company 2 0.24Head of garage 2 0.24Healer 1 0.12Hotel agent 1 0.12In charge of education in 1 0.12Isteebu 1 0.12Jeweler 1 0.12Job inspector 1 0.12Journalist 6 0.73Judge 4 0.49Laboratory 2 0.24Lawyer 1 0.12Librarian 2 0.24Marketing agent 1 0.12Masonry 36 4.37Masonry (aid) 9 1.09Mechanicien 23 2.79
Mechanicien at sosumo 1 0.12Medecin 2 0.24Medical technician 3 0.36Merchant 81 9.84Messenger 6 0.73Micro-finance 1 0.12Missing 1 0.12Municipal administrator 1 0.12Municipal worker 1 0.12Musician 1 0.12No answer 2 0.24Nurse 17 2.02Nursing assistant 1 0.12Officer 30 3.65Officer in ABP 1 0.12Officer in Socabu 2 0.24Painter 1 0.12Part of a bank 1 0.12Part of the state 2 0.24Passionate 1 0.12Pastor 1 0.12Patissier 1 0.12Pharmacy 4 0.49Photographer 1 0.12Plumber 3 0.36Police 6 0.73Printer 2 0.24Private company 1 0.12Private sector 1 0.12Professor 5 0.61Project manager 1 0.12Purchase 1 0.12RPP 1 0.12RSA 1 0.12Restaurant 1 0.12Restoration 1 0.12Sand and gravel supplier 1 0.12Secretary 12 1.46Secretary accountant 1 0.12Secretaty in the Ministry of 1 0.12Security 1 0.12Security agent 3 0.36Seller 12 1.46Seller of bread 1 0.12Seller of food 1 0.12Selling bible cover 1 0.12Selling coal 1 0.12Sex worker 2 0.24Shoemaker 2 0.24Shop manager 4 0.49Small business 33 4.01Soap fabrication 1 0.12Social agent 1 0.12Soldier 9 1.09Storekeeper at the port 1 0.12Supplier 1 0.12
Taillor 10 1.22Tax collector 1 0.12Taxi bicycle 8 0.97Taxi driver 2 0.24Taxi motocycle 2 0.24Teacher 51 6.20Technician 15 1.82Technician Regideco 2 0.24Trade of clothes 1 0.12Transport 1 0.12Travel agent 1 0.12UN official 1 0.12Unemployed 2 0.24Wage labor 2 0.24Waiter 4 0.49Waiter in a pub 1 0.12Washing 1 0.12Washing vehicles 1 0.12Watchman 3 0.36Work for third parties 2 0.24Work in food 1 0.12Work in the cinema 1 0.12Worker 7 0.85Worker in case of emergency 1 0.12Worker in the airport 1 0.12Total 823 100.00
AC_1a Birthplace of the household See datamember - city/village
AC_1b Birthplace of the household Burundi 4,070 97.77member - country DRC 56 1.35
France 2 0.05Rwanda 27 0.65Tanzania 7 0.17Missing 1 0.02Total 4163 100.00
AC_2 n = 4103 R = 1946-2011 M = 2002,89 SD = 9.43
AC_3 Current migrant 1. Yes 34 0.822. No 4129 98.99Missing 8 0.19Total 4171 100.00
AC_4 n = 34 R = 1-240 M = 37.70 SD = 53.76
AC_5a Current residence of this Atlanta 1 2.94household member - Brussels 3 8.82city/village Bukavu 2 5.88
Months of absence from the household
Year of move to current location of household
A.C LOCATION OF HOUSEHOLD MEMBERS
Butare 1 2.94Darfur 1 2.94Goma 1 2.94Kampala 2 5.88Kavimvira 1 2.94Kigali 3 8.82Mogadishu 1 2.94Montreal 2 5.88Muranvya 1 2.94Nanging 1 2.94New York 1 2.94Ottowa 4 11.76Paris 1 2.94Turin 1 2.94Doesn't want to say 1 2.94Don't know 6 17.65Total 34 100.00
AC_5b Current residence of this Belgium 2 5.88household member - country Canada 7 20.59
China 1 2.94DRC 5 14.71France 1 2.94Italy 2 5.88Netherlands 1 2.94Rwanda 4 11.76Somalia 2 5.88Sudan 1 2.94Sweden 3 8.82USA 3 8.82Uganda 2 5.88Total 34 100.00
AC_6 Return migrant 1. Yes 160 3.882. No 3969 96.12Total 4129 100.00
AD_1 1. Yes 26 1.062. No 2422 98.94Total 2448 100.00
AD_2 Location of planned migration Australia 2 7.69- country Belgium 1 3.85
Canada 4 15.38DRC 2 7.69Denmark 1 3.85Don't know 1 3.85Rwanda 3 11.54Senegal 1 3.85South Africa 2 7.69Spain 1 3.85Sweden 1 3.85Tanzania 1 3.85USA 6 23.08Total 26 1300.00
Concrete plans of household member to live in another country in the future
AD_3
2. I can find employment there 4 15.38
4. The payment is better there 2 7.69
7. I want to go and study there 5 19.238. Other 2 7.69Total 26 100.00
B. CHILDREN
B_1a 1. Yes 1613 95.442. No 75 4.44Don't know 2 0.12Total 1690 100.00
B_1aa 1. Yes 1491 92.442. No 122 7.56Total 1613 100.00
B_1b n = 1491 R = 1-10
B_2a 1. Yes 1481 87.632. No 206 12.19Don't know 3 0.18Total 1690 100.00
B_2aa 1. Yes 1265 85.422. No 216 14.58Total 1481 100.00
B_2b n = 1265 R = 1-3
B_3 1. Yes 955 80.522. No 228 19.22Don't know 3 0.25Total 1186 100.00
B_4 1. It was a school break/holiday 0 0.002. The child was ill 9 3.953. The child was working in the 1 0.444. The child was working 1 0.445. There were religious 0 0.006. The child is too young to 165 72.37
0 0.00
8. The school is too expensive 7 3.079. This child quit school him/her 37 16.23
Child's natural father household ID number
School attedance in the past week
30.77
0.00
Child's natural mother is alive
Child's natural mother is a household member
6. My friends/family are already there
5 19.23
0.00
5. The living conditions are better there
8
0
0
Primary reason for planned migration
1. It is an easy country to access/gain entry
7. There is no school near our home
3. The working conditions are better there
Reason for not attending school in the past week
Child's natural father is a household member
Child's natural father is alive
Child's natural mother household ID number
10. Other 6 2.63Don't know 2 0.88Total 228 100.00
B_5 Current level and grade of child 1. Maternelle 123 12.88this school year 2. 1ere primaire 148 15.50
3. 2ieme primaire 144 15.084. 3ieme primaire 107 11.205. 4ieme primaire 96 10.056. 5ieme primaire 107 11.207. 6ieme primaire 80 8.388. 7ieme secondaire 54 5.659. 8ieme secondaire 45 4.7110. 9ieme secondaire 22 2.3011. 10ieme secondaire 13 1.3612. 3ieme secondaire 6 0.6313. Seconde secondaire 3 0.3114. Premiere secondaire 3 0.3115. Other 0 0.00Missing 2 0.21Don't know 2 0.21Total 955 100.00
B_6 Grades of the child 1. Below average 110 13.292. Average 349 42.153. Above average 250 30.19Don't know 29 3.50N.A. 2 0.24Total 828 100.00
B_7a 1. Telling lies 41 4.022. Skipping school 11 1.083. Alcohol or drug abuse 0 0.004. Fighting or arguing with 30 2.94peers5. Fighting or arguing with 2 0.20caregivers6. Fighting or arguing with 2 0.20teachers7. Other 6 0.598. None of the above 923 90.40Don't know 6 0.59Total 1021 100.00
B_7b 1. Telling lies 11 1.082. Skipping school 11 1.083. Alcohol or drug abuse 0 0.004. Fighting or arguing with 23 2.255. Fighting or arguing with 0 0.006. Fighting or arguing with 1 0.107. Other 0 0.008. None of the above 0 0.00N.A. 980 95.98Total 1021 100.00
B_7c 1. Telling lies 1 0.10
Most important deviant behaviour of the child
Third most important deviant
Second most important deviant behaviour of the child
2. Skipping school 3 0.293. Alcohol or drug abuse 0 0.004. Fighting or arguing with 1 0.105. Fighting or arguing with 0 0.006. Fighting or arguing with 0 0.007. Other 0 0.008. None of the above 0 0.00N.A. 1015 99.41Don't know 1 0.10Total 1021 100.00
B_8 n = 1688 R = 0-50 M = 0.14 SD = 2.18
B_9 1. Paid in cash 4 36.362. Paid in kind 0 0.003. Unpaid 6 54.55Don't know 1 9.09Total 11 100.00
B_10 n = 1680 R = 0-50 M = 3.58 SD=6.84
B_11 n = 1682 R = 0-45 M = 1.14 SD = 4.22
C. MIGRATIONC.A CURRENT MIGRATION EPISODE OF HOUSEHOLD MIGRANTS
CA_1a 1. Family reunification 1 3.452. Family formation (e.g. by marriage) 0 0.003. Security/ Political reason 5 17.244. Employment opportunities 4 13.795. Education 13 44.836. Enviromental disaster 0 0.007. Moving with family (e.g. 0 0.008. Health 2 6.909. Other 3 10.34Don't know 1 3.45Total 29 100.00
CA_1b 1. Family reunification 0 0.002. Family formation (e.g. by 0 0.003. Security/ Political reason 2 6.904. Employment opportunities 0 0.005. Education 0 0.006. Enviromental disaster 0 0.007. Moving with family (e.g. 0 0.008. Health 1 3.459. Other 0 0.00N.A. 26 89.66Total 29 100.00
Most important reason for leaving Burundi
Second most important reason for leaving Burundi
Number of hours in the past week that the child helped with household chores
Number of hours in the past week that the child did other family work
Number of hours in the past week that the child did any kind of work for a non-household member
Type of work - paid or unpaid
behaviour of the child
CA_1c 1. Family reunification 0 0.002. Family formation (e.g. by 0 0.003. Security/ Political reason 1 3.454. Employment opportunities 0 0.005. Education 0 0.006. Enviromental disaster 0 0.007. Moving with family (e.g. 0 0.008. Health 0 0.009. Other 0 0.00N.A. 28 96.55Total 29 100.00
CA_2a 1. Friends 1 3.452. Father 9 31.033. Mother 6 20.694. Partner/spouce 2 6.905. Brothers 0 0.006. Sisters 0 0.007. Child 0 0.00
0 0.00
9. Employer in Burundi 2 6.9010. Community members 1 3.45
6 20.69
12. Other 2 6.90Total 29 100.00
CA_2b 1. Friends 2 6.902. Father 3 10.343. Mother 9 31.034. Partner/spouce 0 0.005. Brothers 0 0.006. Sisters 0 0.007. Child 0 0.00
0 0.00
9. Employer in Burundi 0 0.0010. Community members 0 0.00
0 0.00
12. Other 2 6.90N.A. 13 44.83Total 29 100.00
CA_3 1. Savings 8 27.592. Formal loans (bank) 2 6.90
2 6.90
0 0.00
5. Gift from family/friends 8 27.596. Employer paid 2 6.907. Scholarships 1 3.45
0 0.00
Third most important reason for leaving Burundi
8. Employer in the country of destination
3. Informal loans from family/friends
8. Employer in the country of destination
Most important way of financing migration
Second most important person(s) involved in decision on migration
11. No one other than the migrant (only him or herself)
11. No one other than the migrant (only him or herself)
4. Other informal loans (e.g. from a credit organization)
8. Came with family as a
Most important person(s) involved in decision on migration
9. Sold assets 0 0.0010. Other 4 13.79N.A. 2 6.90Total 29 100.00
CA_4a 1. Alone 16 55.172. Spouce 0 0.003. Child(ren) 1 3.454. Sibling(s) 6 20.695. Parent(s) 2 6.906. Other family 2 6.907. Friends 1 3.458. Broker/ guide/ smuggler 0 0.009. Other 0 0.00Missing 1 3.45Total 29 100.00
CA_4b 1. Alone 0 0.002. Spouce 0 0.003. Child(ren) 1 3.454. Sibling(s) 2 6.905. Parent(s) 1 3.456. Other family 0 0.007. Friends 0 0.008. Broker/ guide/ smuggler 0 0.009. Other 0 0.00N.A. 24 82.76Missing 1 3.45Total 29 100.00
CA_4c 1. Alone 0 0.002. Spouce 0 0.003. Child(ren) 1 3.454. Sibling(s) 0 0.005. Parent(s) 0 0.006. Other family 0 0.007. Friends 1 3.458. Broker/ guide/ smuggler 0 0.009. Other 0 0.00N.A. 27 93.10Total 29 100.00
CA_5a Countries the person stopped Canada 1 3.45in on the way to final Rwanda 2 6.9destination - country 1 N.A. 26 89.66
Total 29 100.00
CA_5b Countries the person stopped N.A. 29 100.00in on the way to final Total 29 100.00destination - country 2
CA_5c Countries the person stopped N.A. 29 100.00in on the way to final Total 29 100.00destination - country 3
Second most important person(s) the person migrated with
Third most important person(s) the person migrated with
Most important person(s) the person migrated with
dependent
CA_6a Final city of migration for this Atlanta 2 6.9person Bologne 1 3.45
Brussels 3 10.34Bukavu 2 6.9Butare 1 3.45Canada 1 3.45Darfur 1 3.45Goma 1 3.45Kampala 1 3.45Kavimvira 1 3.45Kigali 3 10.34Mogadishu 1 3.45Montreal 1 3.45New York 1 3.45Ottowa 1 3.45Paris 1 3.45Turin 1 3.45Uvira 1 3.45Don't know 5 17.24Total 29 100.00
CA_6b Final country of migration for Belgium 3 10.34this person Canada 3 10.34
China 1 3.45DRC 5 17.24France 1 3.45Italy 2 6.9Netherlands 1 3.45Rwanda 4 13.79Somalia 1 3.45Sudan 1 3.45Sweden 3 10.34USA 3 10.34Uganda 1 3.45Total 29 100.00
CA_7a 1. It was an easy country to 0 0.002. He/she could find 2 6.90
0 0.00
4. The payment is better there 0 0.005 17.24
5 17.24
12 41.38
8. Other 4 13.79Don't know 1 3.45Total 29 100.00
CA_7b 1. It was an easy country to 1 3.452. He/she could find 0 0.00
1 3.45
3. The working conditions are better there
5. The living conditions are better there
Secondary reason this person chose this country
Primary reason this person chose this country
6. Friends/family were already there
3. The working conditions are better there
7. He/she wanted to study there
4. The payment is better there 0 0.000 0.00
2 6.90
3 10.34
8. Other 0 0.00Don't know 1 3.45N.A. 21 72.41Total 29 100.00
CA_8 Documentation before 1. Tourist visa 7 24.14migrating 2. Work visa 4 13.79
3. Student/study visa 9 31.034. Refugee status (UNHCR) 1 3.455. Other 4 13.796. None of these documents 2 6.9Don't know 2 6.9Total 28 100.00
CB_1a Pevious migration experiences 1. Yes 0 0.002. No 29 100.00Total 29 100.00
CB_1b Number of previous migration no observationsexperiences
CB_2_1 Year in which the person left no observationsthis household
CB_3_1 Destination of this person no observations
CB_4_1 Migration was intended to be no observationspermanent
CB_5_1 Duration of this person's no observationsmigration
C.C TRANSNATIONAL TIES
CC_1 1. Never 1 3.452. Once 0 0.003. Twice 1 3.454. Every three months 4 13.795. Every month 7 24.146. Every week 6 29.697. Every day 2 6.908. Irregular 1 3.459. Other 0 0.00Missing 7 24.14Total 29 100.00
CC_2 Most important way of contact 1. Telephone 16 55.17with the household member 2. Internet chat or phone 0 0.00abroad in the past 12 months (Skype/MSN)
Frequency of contact between this household and the household member that are currently abroad
5. The living conditions are better there6. Friends/family were already there 7. He/she wanted to study there
3. E-mails 3 10.344. Letters 0 0.005. Visits of household members 2 6.90that are abroad6. Visit from household 0 0.00member that is hereMissing 8 27.59Total 29 100.00
CC_3 n = 9 R = 1-15 M = 3.77 SD = 4.38
CC_4a Most important topic of Daily life 1 3.45conversation with household Daily needs 1 3.45member abroad Diverse issues 2 6.90
Education 5 17.24Family Life 1 3.45Greetings 1 3.45Health 4 13.79Life 1 3.45Life of the children 1 3.45Missing 8 27.59News 1 3.45Security 1 3.45Studies 2 6.90Total 29 100.00
CC_4b Daily life 1 3.45Diverse issues 1 3.45Education 1 3.45Health 10 34.48Life 1 3.45Missing 8 27.59N.A. 3 10.34Politics 1 3.45Studies 1 3.45Children 2 6.90Total 29 100.00
CC_4c Third most important topic of Daily life 1 3.45conversation with household Diverse issues 1 3.45member abroad Education 1 3.45
Family 2 6.90Health 3 10.34Missing 8 27.59N.A. 8 27.59Politics 2 6.90Security 2 6.90Situation 1 3.45Total 29 100.00
C.D MONETARY REMITTANCES (MONEY) FROM ABSENT HH MEMBERS
CD_1 1. Yes 10 34.482. No 12 41.38
Frequency of visits of household members abroad to Burundi in the past 12 months
Money received from absent household members in the past
Second most important topic of conversation with household member abroad
Missing 7 24.14Total 29 100.00
CD_2 1973 1 10.002001 1 10.002006 1 10.002007 2 20.002009 2 20.002010 2 20.00Total 10 100.00
CD_3 1. Irregular 5 50.002. Once 1 10.003. Twice 0 0.004. Every 3 months 1 10.005. Every 2 months 0 0.006. Every month 3 30.007. Several times per month 0 0.008. Other 0 0.00Total 10 100.00
CD_4 1. Yes 1 10.002. No 9 90.00Total 10 100.00
CD_5 New Years 1 100.00Total 1 100.00
CD_6 1. Yes 2 20.002. No 8 80.00Total 10 100.00
CD_7 1. Wedding 0 0.002. Funeral 0 0.003. Droughts 0 0.004. Excessive rain/flooding 0 0.005. Job loss 0 0.006. Illness of hh member 1 50.007. New school year 1 50.008. Circumcision 0 0.009. Other 1 100.00Total 2 100.00
CD_8a n = 7 R = 50-300000 M = 74450 SD = 123558.9
CD_8b Currency with which the 1. Burundian Francs 3 30.00money was sent in the past 12 2. Tanzanian Shillings 0 0.00months 3. US Dollars 5 50.00
4. Euro 1 10.005. Other 1 10.00Total 10 100.00
CD_8a_ Average amount sent with each n = 7 R = 13.8-500 M = 225.4 SD = 175.65Dollar transaction in the past 12
Frequency of sending money in the psat 12 months
Year that the absent household member started sending money
The money was received for specific yearly celebrations in the past 12 months
Kind of yearly celebrations
The money was received for specific events in the past 12 months
Kind of specific events
Average amount sent with each transaction in the past 12 months
household members in the past 12 months
months - in US Dollar (exchange rate of 30 July 2012)
CD_9a n = 5 R = 250-3600000 746250 SD = 1596555
CD_9b 1. Burundian Francs 3 30.002. Tanzanian Shillings 0 0.003. US Dollars 4 40.004. Euro 1 10.005. Other 2 20.00Total 10 100.00
CD_9a_ Total amount received from n = 5 R = 34.50-2484 M = 764.74 SD = 1038.37Dollar this absent household member
in the past 12 months - in USDollar (exchange rate of 30 July 2012)
CD_10 1. It was less 0 0.002. It was the same 1 10.003. It was more 1 10.004. The amount fluctuated over time 3 30.005. This is the first year that the person sent 2 20.00Don't know 2 20.00Doesn't want to say 1 10.00Total 10 100.00
CD_11a 1. He/she brought it him/herself 0 0.002. A friend/relative brought it 3 30.003. Through a money transfer 3 30.004. Through a shop keeper/call 0 0.005. Through a bank 3 30.006.Tthrough the mail 1 10.007. Via stored value card 0 0.008. Other 0 0.00Total 10 100.00
CD_11b 1. He/she brought it him/herself 1 10.002. A friend/relative brought it 1 10.003. Through a money transfer 3 30.00N.A. 5 50.00Total 10 100.00
CD_11c 2. A friend/relative brought it 1 10.003. Through a money transfer 1 10.00N.A. 8 80.00Total 10 100.00
CD_12 1. Very unsatisfied 0 0.002. Unsatisfied 1 10.003. Neutral 0 0.004. Satisfied 2 20.005. Very satisfied 6 60.00Doesn't want to say 1 10.00Total 10 100.00
Total amount received from this absent household member in the past 12 months
Second most important way the money from this person was received
Satisfaction with most impportant way of money transfer
Most important way the money from this person was received
Second most important way the money from this person was received
More or less received than in previous years
Currency with which the total amount was received in the past 12 months
CD_13 1. Average performance 1 10.002. He doesn't want to 1 10.003. It is a big family 1 10.004. It's for free 1 10.005. Speed 4 40.006. The money reaches quickly 1 10.007. The money really helps the 1 10.00Total 10 100.00
C.E GOODS FROM ABSENT HOUSEHOLD MEMBERS
CE_1 1. Yes 4 13.792. No 18 62.07Missing 7 24.12Total 29 100.00
CE_2 1. Irregular 2 50.002. Once 1 25.003. Twice 0 0.004. Every three months 1 25.005. Every two months 0 0.006. Every month 0 0.007. Several times per month 0 0.008. Other 0 0.00Total 4 100.00
CE_3a 1. Food 0 0.002. Clothing/shoes 2 50.003. Mobile phone 2 50.004. Television 0 0.005. Computer/laptop 0 0.006. Other electronics (specify) 0 0.007. Medication 0 0.008. Books/CDs/DVDs 0 0.009. Other 0 0.00Total 4 100.00
CE_3b 1. Food 0 0.002. Clothing/shoes 1 25.003. Mobile phone 0 0.004. Television 0 0.005. Computer/laptop 1 25.006. Other electronics (specify) 0 0.007. Medication 0 0.008. Books/CDs/DVDs 1 25.009. Other 1 25.00Total 4 100.00
CE_3c 1. Food 1 25.002. Clothing/shoes 0 0.003. Mobile phone 0 0.004. Television 0 0.005. Computer/laptop 0 0.006. Other electronics (specify) 0 0.007. Medication 1 25.008. Books/CDs/DVDs 1 25.00
Most important kind of goods received from absent hh member in the past 12 months
Goods received from absent household member in the past 12 months
Frequency of receiving goods from absent hh member in the past 12 months
Explanation of satisfaction with most important way of money transfer
Second most important kind of goods received from absent hh member in the past 12 months
Third most important kind of goods received from absent hh member in the past 12 months
9. Other 1 25.00Total 4 100.00
CE_4a no observations
CE_4b no observations
CE_4a_ Total value of goods received no observationsDollar from absent hh member
in the past 12 months - in US Dollar
D. REMITTANCESD.A MONETARY REMITTANCES (MONEY) FROM NON-HH MEMBERS
DA_1 1. Yes 121 14.942. No 689 85.06Total 810 100.00
Rem_ ID number of the remittance 1 121 79.61Sender sending person 2 23 15.13
3 6 3.954 2 1.32Total 152 100.00
DA_2 1. Family (blood related) 138 90.792. Friend(s) 14 9.213. Organization 0 0.004. Employer 0 0.005. Other 0 0.00Total 152 100.00
DA_3a Living location of remittance Alberta 2 1.32sender (city/village) Amsterdam 1 0.66
Antebe 1 0.66Atlanta 1 0.66Brussels 10 6.58Bukavu 1 0.66Butare 2 1.32Cape Town 7 4.61Dar Es Salaam 1 0.66Don't know 51 33.55Dubai 1 0.66Durban 1 0.66Goma 1 0.66Johannesburg 2 1.32Kalemi 1 0.66Kampala 3 1.97Kigali 5 3.29Kigoma 1 0.66Kinshasa 2 1.32London 1 0.66
Money from other people in the past 12 months (yes/no)
Currency with which the total value of goods was received from absent hh member
Relationship between remittance sender and main respondent
Total value of goods received from absent hh member in the past 12 months
Los Angeles 1 0.66Louvain 1 0.66Missing 1 0.66Montreal 12 7.89Nairobi 1 0.66New Orleans 1 0.66New York 4 2.63Ottawa 5 3.29Paris 6 3.95Pretoria 2 1.32Quebec 2 1.32Rome 1 0.66Rubumbashi 1 0.66Sydney 1 0.66Texas 2 1.32Tokyo 1 0.66Toronto 4 2.63Tournai 1 0.66Tusaka 1 0.66Washington 2 1.32Yaounde 1 0.66Total 152 100.00
DA_3b Living location of remittance Angola 1 0.66sender (country) Australia 1 0.66
Belgium 17 11.18Bourkina Faso 1 0.66Cameroun 1 0.66Canada 37 24.34DRC 6 3.95Denmark 3 1.97Don't know 2 1.32France 7 4.61Italy 1 0.66Japan 1 0.66Kenya 1 0.66Missing 1 0.66Netherlands 7 4.61Norway 2 1.32Rwanda 6 3.95Somalia 1 0.66South Africa 13 8.55Sweden 6 3.95Switzerland 2 1.32Tanzania 3 1.97Tunisia 1 0.66UAE 1 0.66UK 9 5.92Uganda 4 2.63United States 15 9.87Zambia 1 0.66Total 152 100.00
DA_4 1. Male 79 51.972. Female 72 47.37Missing 1 0.66
Gender of remittance sender
Total 152 100.00
DA_5 Age of remittance sender n = 97 R = 20-70 M = 39.14 SD = 8.42
DA_6 n = 125 R = 1977-2011
DA_7 Frequency of receiving money 1. Irregular 52 34.21from this remittance sender in 2. Once 39 25.66the past 12 months 3. Twice 19 12.50
4. Every three months 13 8.555. Every two months 5 3.296. Every month 18 11.847. Several times per month 0 0.008. Other 3 1.97Missing 3 1.97Total 152 100.00
DA_8 1. Yes 29 19.082. No 120 78.95Missing 3 1.97Total 152 100.00
DA_9 Kind of yearly celebrations 1. Birthday 1 3.452. Christmas 7 24.143. Ramadan 2 6.904. New Year's 19 65.525. Fete de moutons 0 0.006. Other 0 0.00Total 29 100.00
DA_10 1. Yes 31 20.392. No 118 77.63Missing 3 1.97Total 152 100.00
DA_11 1. Wedding 18 58.062. Funeral 1 3.233. Droughts 0 0.004. Excessive rain/flooding 0 0.005. Job loss 1 3.236. Illness of hh member 3 9.687. Start of the new school year 5 16.138. Circumcision 0 0.009. Other 3 9.68Total 31 100.00
DA_12a n = 130 R = 50-500000 M = 25180.62 SD = 84843.54
DA_12b 1. Burundian Franc 15 9.872. Tanzanian Shilling 0 0.003. Euro 26 17.114. American Dollars 104 68.42
Money received for other specific events in the past 12 months
Average amount of money this person sent with each transaction (value)
Year that the remittance sender started sending money
Kind of specific events
Average amount of money this person sent with each transaction (currency)
Money received for specific yearly celebration in the past 12 months
5. Other 0 0.006. Rwandan Franc 4 2.63Missing 3 1.97Total 152 100.00
DA_12_ Average amount of money this n = 130 R = 0.10 - 150000 M = 1141.23 SD = 13135.80Dollar person sent with each
transaction (value) - in US Dollar (exchange rate of 30 July 2012)
DA_13a n = 115 R = 50-3600000 M = 110508.3 SD = 485887.1
DA_13b Total amounts received from 1. Burundian Franc 16 10.53this person In the past 12 2. Tanzanian Shilling 0 0.00months (currency) 3. Euro 27 17.76
4. American Dollars 102 67.115. Other 0 0.006. Rwandan Franc 4 2.63Missing 3 1.97Total 152 100.00
DA_13_ Average amount of money this n = 115 R = 0.35-30000000 M = 27550.01 SD = 279640.70Dollar person sent with each
transaction (value) - in US Dollar (exchange rate of 30 July 2012)
DA_14 1. It was less 8 5.262. It was the same 37 24.343. It was more 12 7.89
48 31.58
13 8.55
Don't know 26 17.11Don't want to say 5 3.29Missing 3 1.97Total 152 100.00
DA_15 1. He/she brought him/herself 2 1.322. A friend/relative brought it 23 15.13
81 53.29
2 1.32
5. Through a bank 32 21.056. Through the mail 0 0.007. Via stored value card 0 0.008. Other 7 4.61Don't know 2 1.32Missing 3 1.97Total 152 100.00
DA_16 1. Very unsatisfied 4 2.632. Unsatisfied 12 7.893. Neutral 3 1.974. Satisfied 46 30.26
Satisfaction with this way of receiving money
Total amounts received from this person In the past 12 months (value)
More or less than in previous years
5. This is the first year the person sent money
4. The amount fluctuated over time
3. Through a money transfer operator (formal)4. Through a shop keeper/call house/hawala (informal)
Most important way of receiving money from this person
5. Very satisfied 75 49.34Don't know 5 3.29Doesn't want to say 4 2.63Missing 3 1.97Total 152 100.00
DA_17 Appreciation 1 0.66Because I have a lot to do 1 0.66Because I have family problems 1 0.66Because of the retained (?) 1 0.66Because we have many needs 2 1.32Because we have needs 2 1.32Because we need it 1 0.66Because we need this money 2 1.32Confidance 1 0.66Confidence and speed 1 0.66He is a faithful man 1 0.66I am content 1 0.66I am very satisfied 1 0.66I receive money when I want 1 0.66I receive the totality of the 1 0.66It comes from a friend I like it 1 0.66It helps a lot 4 2.63It helps me to pay for the studies of my brother 1 0.66It is a fast way 5 3.29It is a free way 1 0.66It is a member of our family 1 0.66It is a reliable way 1 0.66It is enough 6 3.95It is good because it helps me 1 0.66It is good for our needs 1 0.66It is little money 3 1.97It is not enough 1 0.66Little money for the needs of his son 1 0.66No flight 6 3.95No losses 1 0.66Not paying 1 0.66Nothing retained 1 0.66Pays the school fees 1 0.66Reliability 1 0.66Retained 4 2.63Satisfied 2 1.32Satisfied because it is the tuition 1 0.66Satisfied with the sum 6 3.97Security 7 4.61Speed 19 12.50Speed and certainty 1 0.66Speed but expensive 1 0.66That makes her happy 1 0.66That money helps us a lot 1 0.66The money help for Ramadan 1 0.66The money helps for our daily 1 0.66The money is in good hands 2 1.32The money is secure 1 0.66The money reaches us quickly 3 1.97The sum is enough for us 1 0.66
Explanation of satisfaction with this way of receiving money
The sum is not enough 1 0.66Trust 3 1.97Trust towards to the person 2 1.32Unsatisfied because the sum is 1 0.66Very satisfied 1 0.66Very secure 7 4.61We are very satisfied 2 1.32We buy a lot of things 4 2.63We didn't have money 1 0.66We have payed her school fees 1 0.66We pay a lot of money 1 0.66Yes, satisfied by the sum 1 0.66Don't know 5 3.29No answer 8 5.26Missing 3 1.97Total 152 100.00
D.B GOODS FROM OTHER PEOPLE (NOT PART OF THE HOUSEHOLD)
DB_1 1. Yes 39 4.812. No 771 95.19Total 810 100.00
Goods_ ID remittance sender - goods 1 39 90.7sender 2 3 6.98
3 1 2.33Total 43 100.00
DB_2 1. Irregular 20 46.512. Once 15 34.883. Twice 4 9.304. Every three months 2 4.655. Every two months 0 0.006. Every month 0 0.007. Several times per month 1 2.338. Other 1 2.33Total 43 100.00
DB_3a 1. Food 2 4.652. Clothing/shoes 27 62.793. Mobile phone 9 20.934. Television 0 0.005. Computer/laptop 1 2.336. Other electronics 2 4.657. Medication 0 0.008. Books/CDs/DVDs 0 0.009. Other 0 0.00N.A. 1 2.33Missing 1 2.33Total 43 100.00
DB_3b 1. Food 3 6.982. Clothing/shoes 7 16.283. Mobile phone 5 11.634. Television 0 0.005. Computer/laptop 3 6.98
Second most important kind of goods received from this person in the past 12 months
Goods received from non-hh members (yes/no)
Frequency of receiving goods from this person in the past 12 months
Most important kind of goods received from this person in the past 12 months
6. Other electronics 1 2.337. Medication 1 2.338. Books/CDs/DVDs 2 4.659. Other 2 4.65N.A. 18 41.86Missing 1 2.33Total 43 100.00
DB_3c 1. Food 0 0.002. Clothing/shoes 2 4.653. Mobile phone 3 6.984. Television 0 0.005. Computer/laptop 0 0.006. Other electronics 2 4.657. Medication 0 0.008. Books/CDs/DVDs 3 6.989. Other 0 0.00N.A. 32 74.42Missing 1 2.33Total 43 100.00
DB_4a n = 14 R = 0-4500000 M = 104357.1 SD = 147930.5
DB_4b 1. Burundian Franc 9 64.292. Tanzanian Shilling 0 0.003. Euro 1 7.144. American Dollars 2 14.295. Other 1 7.146. Rwandan Franc 1 64.29Total 14 100.00
DB_4_ Total value of goods received n = 13 R = 20.70-500 M = 163.43 SD = 156.16Dollar from this person in the past 12
months - value (exchange rate of 30 July 2012)
D.C MONETARY REMITTANCES: PURPOSE AND USAGE
DC_1 1. Yes 11 8.462. No 32 24.623. Missing 87 66.92Total 130 100.00
DC_2a 1. Daily needs (food/drinks) 3 27.272. Education 3 27.273. Business 2 18.184. Other 1 9.095. Ceremonies (eg funeral, 2 18.18Total 11 100.00
DC_2b 1. Daily needs (food/drinks) 1 9.092. Education 1 9.093. Healthcare 2 18.184. N.A. 7 63.64Total 11 100.00
Total value of goods received from this person in the past 12 months (currency)
Total value of goods received from this person in the past 12 months (value)
Third most important kind of goods received from this person in the past 12 months
Specific reason money was sent to this hh in the past 12 months
Main purpose this money was sent to the household
Second main purpose this money was sent to the household
DC_2c 1. Leisure 1 9.092. Healthcare 1 9.093. Ceremonies (eg funeral, 1 9.094. N.A. 8 72.73Total 11 100.00
DC_3a 1. Daily needs (food/drinks) 27 20.772. Education 6 4.623. Business/investments 2 1.544. Leisure 5 3.855. Healthcare 1 0.776. Ceremonies (eg funeral, 2 1.547. Missing 87 66.92Total 130 100.00
DC_3b 1. Daily needs (food/drinks) 5 3.852. Education 8 6.153. Business/investments 2 1.544. Debt payments 1 0.775. Healthcare 4 3.086. To buy durable goods 4 3.087. Ceremonies (eg funeral, 2 1.548. N.A. 17 13.089. Missing 87 66.92Total 130 100.00
DC_3c 1. Daily needs (food/drinks) 1 0.772. Education 3 2.313. Savings 2 1.544. Leisure 3 2.314. Debt payments 1 0.775. Healthcare 2 1.546. To buy durable goods 1 0.777. Ceremonies (eg funeral, 4 3.088. N.A. 26 20.009. Missing 87 66.92Total 130 100.00
DC_4 1. Very little say 28 21.542. Little say 8 6.153. Some say 5 3.854. Total say 2 1.545. Missing 87 66.92Total 130 100.00
DC_5 1. It will be less than this year 2 1.542. It will be the same as this year 3 2.313. It will be a more than this 2 1.544. Missing 87 66.925. Don't know 36 27.69Total 130 100.00
DC_6 1. It will be less than this year 1 0.772. It will be the same as this year 4 3.083. It will be a more than this 3 2.31
Expected income change over the next year
Expected remittance change over the next year
Third main purpose this money was sent to the household
Second most important spending of the money
Most important spending of the money
Extent to which the hh has a say over how the money is spent
Third most important spending of the money
4. Missing 87 66.925. Don't know 35 26.92Total 130 100.00
DC_7 Sending part of the remittances 1. Yes 2 1.54to other households in Burundi 2. No 40 20.77(yes/no) Don't know 1 0.77
Missing 87 66.92Total 130 100.00
DC_8 1. Bwiza 1 25.002. Gitega 1 25.003. Nyanza Lac 0 0.004. Ndava 2 50.00Total 4 100.00
DC_9 1. Family (blood related) 4 100.002. Friends 0 0.003. Other 0 0.00Total 4 100.00
DC_10a n = 3 R =50000-150000 M = 100000 SD = 50000
DC_10b 1. Burundian Francs 4 100.00Total 4 100.00
DC_10_ Total amount sent to receiving n = 3 R = 34.50-103.50 M = 69 SD = 34.50Dollar household in the past 12
months - value - in US Dollar (exchange rate of 30 July 2012)
D.D REMITTANCES SENDING
DD_1 1. Yes 12 1.482. No 797 98.403. Don't know 1 0.12Total 810 100.00
Rec_ 1 12 92.31Household 2 1 7.69
Total 13 100.00
DD_2 1. Family 12 92.312. Friends 1 7.69Total 13 100.00
DD_3a 1. Atlanta 1 7.692. Brussels 1 7.693. Bukavu 1 7.694. Butare 2 15.385. Kampala 1 7.696. Kigali 2 15.387. Nantes 1 7.698. New York 1 7.69
Relationship between this household and the remittance receiving household
Living location of the remittance household - city/village
Relationship between receing household and this household
Total amount sent to receiving household in the past 12 months (value)
Receiving household number
Total amount sent to receiving household in the past 12 months (currency)
Did the household send international remittances in the past 12 months?
Location of receiving household internal remittances
9. Nyamirambo 1 7.6910. Uvira 1 7.69Don't know 1 7.69Total 13 100.00
DD_3b 1. Belgium 1 7.692. DRC 2 15.383. France 1 7.694. Netherlands 1 7.695. Rwanda 5 38.466. USA 2 15.387. Uganda 1 7.69Total 13 100.00
DD_4 1. Two 3 23.082. Three 6 46.153. Five 1 7.694. Ten 1 7.695. Don't know 2 15.38Total 13 100.00
DD_5a 1. Daily needs 8 61.542. Education 3 23.083. Leisure 1 7.694. Debt payments 1 7.69Total 13 100.00
DD_5b 1. Daily needs 2 15.382. Education 3 23.083. Leisure 1 7.694. Healthcare 1 7.695. N.A. 6 46.15Total 13 100.00
DD_5c 1. Healthcare 2 15.382. Ceremonies (eg marriage/funeral, etc) 1 7.693. N.A. 10 76.92Total 13 100.00
DD_6 1 2 15.382 2 15.383 3 23.084 1 7.695 1 7.6912 2 15.38Don't know 2 15.38Total 13 100.00
DD_7a n = 9 R = 100-300000 M = 41288.89 SD = 97455.5
DD_7_ Average amount that was sent n = 9 R = 6.90-1200 M = 319.85 SD = 456.09Dollar to the remittance receiving
household per transfer - amount - in US Dollar (exchange rate of 30 July 2012)
Living location of the remittance household - country
Third most important purpose for which the money was sent to remittance receiving household
Second most important purpose for which the money was sent to remittance receiving household
Household size remittance receiving household
Most important purpose for which the money was sent to remittance receiving household
Number of times money was sent to the remittance receiving hh in the past 12 months
Average amount that was sent to the remittance receiving hh per transfer
DD_8a n = 8 R = 900-1000000 M = 136162.5 SD = 349289.5
DD_8b n = 13 R = 1-6 M = 3.615 SD = 2.399
DD_8_ Total amount that was sent to n = 8 R = 9.66-12000 M = 2009.95 SD = 4068.20Dollar the remittance receiving
household in the past 12 months - amount - in US Dollar (exchange rate of 30 July 2012)
DD_9 1. Yes 240 29.632. No 565 69.75Don't know 5 0.62Total 810 100.00
Rec_ 1 240 86.96Household 2 35 12.68
3 1 0.36Total 276 100.00
DD_10 1. Family 274 99.282. Friends 1 0.363. Other 1 0.36Total 276 100.00
DD_11a See data
DD_11b 1. Bubanza 11 3.992. Bujumbura Mairie 24 8.703. Bujumbura Rural 27 9.784. Bururi 41 14.865. Cankuzo 4 1.456. Cibitoke 7 2.547. Gitaga 1 0.368. Gitega 36 13.049. Karuzi 1 0.3610. Kayanza 12 4.3511. Kirumbo 2 0.7212. Makamba 10 3.6213. Muramvya 30 10.8714. Muyinga 3 1.0915. Mwaro 40 14.4916. Ngozi 17 6.1617. Rutana 7 2.5418. Ruyigi 3 1.09Total 276 100.00
DD_12 1 21 7.612 41 14.863 59 21.38
Did the household send international remittances in the past 12 months?
Relationship between this household and the remittance receiving household
Living location of the remittance receiving hh - city/village
Average amount that was sent to the remittance receiving hh per transfer (currency)
Receiving household number
Household size remittance receiving household
Living location of the remittance receiving hh - country
Total amount that was sent to the remittance receiving hh per transfer (value)
4 53 19.205 35 12.686 25 9.067 5 1.818 8 2.909 1 0.3611 1 0.36Don't know 27 9.78Total 276 100.00
DD_13a 1. Daily needs 202 73.192. Education 13 4.713. Agriculture 31 11.234. Leisure 8 2.905. Debt payments 2 0.726. Healthcare 6 2.177. To buy durable goods 8 2.908. Other 2 0.729. Ceremonies 2 0.72Missing 1 0.36Don't know 1 0.36Total 276 100.00
DD_13b 1. Daily needs 77 27.902. Education 61 22.103. Business/investment 2 0.724. Agriculture 33 11.965. Leisure 5 1.816. Debt payments 2 0.727. Healthcare 15 5.438. Housing/land 3 1.099. To buy durable goods 8 2.9010. Donations to community projects 1 0.3611. Other 14 5.0712. Ceremonies 6 2.17N.A. 3 1.09Missing 1 0.36Don't know 43 15.58No answer 2 0.72Total 276 100.00
DD_13c 1. Daily needs 57 20.652. Education 15 5.433. Business/investment 3 1.094. Agriculture 34 12.325. Leisure 2 0.726. Debt payments 3 1.097. Healthcare 31 11.238. To buy durable goods 10 3.629. Donations to community projects 1 0.3610. Other 17 6.1611. Ceremonies 10 3.62N.A. 7 2.54Missing 1 0.36Don't know 77 27.90No answer 8 2.90
Most important purpose for which the money was sent to remittance receiving household
Second most important purpose for which the money was sent to remittance receiving household
Third most important purpose for which the money was sent to remittance receiving household
Total 276 100.00
DD_14 1 17 6.162 55 19.933 46 16.974 35 12.685 11 3.996 12 4.357 5 1.818 2 0.729 1 0.3610 4 1.4511 1 0.3612 35 12.6813 2 0.7214 1 0.3615 1 0.3624 1 0.36Missing 2 0.72Don't know 45 16.30Total 276 100.00
DD_15a n = 242 R = 5-500000 M = 30793.84 SD = 49875.67
DD_15b n = 274 R = 1-1 M = 1 SD = 0
DD_15_ n = 242 R = 0.00 - 345 M = 21.25 SD = 34.41Dollar
DD_16a n = 218 R = 1-4000000 M = 172701.9 SD = 384160.1
DD_16b n = 274 R = 1-1 M = 1 SD = 0
DD_16_ n = 218 R = 0.00 - 2760 M = 119.16 SD = 265.07Dollar
E. ASSETSE.A HOUSING, LAND & LIVESTOCK
EA_1 n = 810 R = 1-9 M = 2.61 SD = 1.28
EA_2 347 42.84
6 0.74
Average amount that was sent to the remittance receiving hh per transfer (currency)
Total amount that was sent to the remittance receiving hh per transfer (value)
Average amount that was sent to the remittance receiving hh per transfer (currency)
Number of rooms in the house, apart from the kitchen and bathroom
Number of times the money was sent to remittance receiving household
Average amount that was sent to the remittance receiving hh per transfer (value)
2. Yes, it is owned with a
House ownership of the household
1. Yes, it is owned and completely paid for
Total amount that was sent to the remittance receiving hh per transfer (value)
Average amount that was sent to the remittance receiving hh per transfer (value)
3. No, it is rented 438 54.074 0.49
5. Other 15 1.85Total 810 100.00
EA_3 n = 332 R = 1955-2011
EA_5 n = 137 R = 2002-8.00e+08 M = 5.13e+07 SD = 1.16e+08
EA_5_ Current estimated value of the n = 138 R = 0-552000 M = 35118.26 SD = 79657.43Dollar house - in US Dollar (exchange rate of 30 July 2012)
EA_6 1. Yes 108 13.332. No 700 86.42Don't know 1 0.12Doesn't want to answer 1 0.12Missing 0 0.00Total 810 100.00
EA_7 n = 46 R = 0-6.00e+08 M = 4.35e+07 SD = 9.79e + 07
EA_7_ Current estimated value of n = 46 R = 0-414000 M = 30000.30 SD = 67564.04Dollar those houses - in US Dollar (exchange rate of 30 July 2012)
EA_8 n = 488 R = 0-3.00e+08 M = 3002541 SD = 1.81e+07
EA_8_ Estimated value of the house(s) n = 488 R = 0-207000 M = 2071.75 SD = 12506.39Dollar owned 5 years ago - in US Dollar (exchange rate of 30 July 2012)
EA_9 1. Yes 171 21.112. No 636 78.52Don't know 3 0.37Doesn't want to answer 0 0.00Total 810 100.00
EA_10 n = 69 R = 0-15 M = 1.93 SD = 2.38
EA_11 1. Agriculture only 128 74.852. Herding only 1 0.583. Agriculture and herding 22 12.874. Construction 9 5.255. Other 11 6.43Total 171 100.00
EA_12 1. Nothing 29 16.962. A little bit 95 55.563.Quite a lot 33 19.304. Almost all 8 4.68Don't know 0 0.00
Land ownership of the household
Since when does the household own this house
mortage
4. No, it is used in exchange for services
Food provision for the household by harvest from the land
Current estimated value of the house
Does the household own any other house(s)
Current estimated value of those houses
Estimated value of the house(s) owned 5 years ago
Total number of ectares that the household own
Land usage (agriculture or herding)
Missing 6 3.51Total 171 100.00
EA_13 n = 42 R = 2-1.00e+08 M = 9840476 SD = 1.82e+07
EA_13_ Current estimated value of the n = 42 R = 0.00 - 69000 M = 6789.93 SD = 12584.56Dollar land - in US Dollar (exchange rate of 30 July 2012)
EA_14 n = 572 R = 0-112 M = 0.424 SD = 4.786
EA_15_1 1. Yes 21 2.592. No 789 97.41Total 810 100.00
EA_16_1 n = 20 R = 1-20 M = 4.95 SD = 4.29
EA_17_1 n = 19 R = 3000-1500000 M = 8898.74 SD = 341880.6
EA_17_1_ Estimated current value of one n = 19 R = 2.07 - 1035 M = 61.34 SD = 235.90Dollar of these animal types -
1 Poultry - in US Dollar (exchange rate of 30 July 2012)
EA_18_1 n = 19 R = 0-10 M = 1.684 SD = 2.646
EA_15_2 1. Yes 29 3.582. No 781 96.42Total 810 100.00
EA_16_2 n = 29 R = 1-30 M =5 SD = 5.431
EA_17_2 n = 22 R = 4-240000 M = 75227.45 SD = 59270.67
EA_17_2_ Estimated currents value of n = 22 R = 0.00 - 165.60 M = 51.91 SD = 40.90Dollar one of these animal types -
2 Goats - in US Dollar (exchange rate of 30 July 2012)
EA_18_2 n = 22 R = 0-12 M = 2.27 SD = 2.975
EA_15_3 1. Yes 3 0.372. No 807 99.63Total 810 100.00
Number of animals of specific type currently owned by hh - 2 Goats
Estimated currents value of one of these animal types - 2 Goats
Number of animals of specific type owned by household five years ago - 2 Goats
Ownership of animal type - 3 Sheep
Number of animals of specific type currently owned by hh- 1 Poultry
Total number of ectares the household owned five years ago
Ownership of animal type - 1 Poultry
Current estimated value of the land
Estimated current value of one of these animal types -1 Poultry
Number of animals of specific type owned by household five years ago- 1 Poultry
Ownership of animal type - 2 Goats
EA_16_3 n = 3 R = 2-6 M = 3.333 SD = 2.309
EA_17_3 n = 3 R = 25000-40000 M = 31666.67 SD = 7.637
EA_17_3_ Estimated currents value of n = 3 R = 17.25-27.60 M = 21.85 SD = 5.27Dollar one of these animal types -
3 Sheep - in US Dollar (exchange rate of 30 July 2012)
EA_18_3 n = 3 R = 0-7 M = 2.667 SD = 3.785
EA_15_4 1. Yes 0 0.002. No 810 100.00Total 810 100.00
EA_16_4 no observations
EA_17_4 no observations
EA_18_4 no observations
EA_15_5 1. Yes 0 0.002. No 810 100.00Total 810 100.00
EA_16_5 no observations
EA_17_5 no observations
EA_18_5 no observations
EA_15_6 1. Yes 0 0.002 . No 810 100.00Total 810 100.00
EA_16_6 no observations
Ownership of animal type - 4 Pigs
Number of animals of specific type currently owned by hh - 3 Sheep
Number of animals of specific type owned by household five years ago - 3 Sheep
Estimated currents value of one of these animal types - 3 Sheep
Number of animals of specific type currently owned by hh - 6 Mules
Number of animals of specific type owned by household five years ago - 5 Horses
Ownership of animal type - 6 Mules
Number of animals of specific type currently owned by hh - 4 Pigs
Estimated currents value of one of these animal types - 4 Pigs
Number of animals of specific type owned by household five years ago - 4 Pigs
Ownership of animal type - 5 Horses
Number of animals of specific type currently owned by hh - 5 Horses
Estimated currents value of one of these animal types - 5 Horses
EA_17_6 no observations
EA_18_6 no observations
EA_15_7 1. Yes 0 0.002 . No 810 100.00Total 810 100.00
EA_16_7 no observations
EA_17_7 no observations
EA_18_7 no observations
EA_15_8 1. Yes 0 0.002 . No 810 100.00Total 810 100.00
EA_16_8 no observations
EA_17_8 no observations
EA_18_8 no observations
EA_15_9 1. Yes 0 0.002 . No 810 100.00Total 810 100.00
EA_16_9 no observations
EA_17_9 no observations
EA_18_9 no observations
Ownership of animal type - 8 Camels
Estimated currents value of one of these animal types - 6 Mules
Number of animals of specific type owned by household five years ago - 6 Mules
Ownership of animal type - 7 Donkeys
Number of animals of specific type currently owned by hh - 7 Donkeys
Estimated currents value of one of these animal types - 7 Donkeys
Number of animals of specific type owned by household five years ago - 7 Donkeys
Number of animals of specific type currently owned by hh - 8 Camels
Estimated currents value of one of these animal types - 8 Camels
Number of animals of specific type owned by household five years ago - 8 Camels
Ownership of animal type - 9 Lamas
Number of animals of specific type currently owned by hh - 9 Lamas
Estimated currents value of one of these animal types - 9 Lamas
Number of animals of specific type owned by household five years ago - 9 Lamas
EA_15_10 1. Yes 24 2.962 . No 786 97.04Total 810 100.00
EA_16_10 n = 23 R = 1-20 M = 7.30 SD = 5.39
EA_17_10 n = 15 R = 200000-1200000 M = 670000 SD = 311562.9
EA_17_10 Estimated currents value of n = 15 R = 138-828 M = 393.30 SD = 214.98_Dollar one of these animal types -
10 Cows (exchange rate of 30 July 2012)
EA_18_10 n = 19 R = 0-25 M = 4.63 SD = 5.86
EA_15_11 1. Yes 3 0.372 . No 807 99.63Total 810 100.00
EA_16_11 n = 3 R = 2-3 M = 2.66 SD = 0.57
EA_17_11 n = 1 R = 600000-600000 M = 600000 SD = 0
EA_17_11 Estimated currents value of n = 1 R = 414-414 M = 414 SD = 0_Dollar one of these animal types -
11 Oxen (exchange rate of 30 July 2012)
EA_18_11 n = 2 R = 1-2 M = 1.5 SD = 0.70
E.B OTHER ASSETS
EB_1_1 1. Yes 593 73.212. No 215 26.54Doesn't want to say 2 0.25Total 810 100.00
EB_2_1 n = 589 R = 0-22 M = 4.33 SD = 3.55
EB_3_1 n = 357 R = 0-3000000 M = 315437 SD = 419620.8
EB_3_1_ Current total worth of assets n = 357 R = 0 - 2070 M = 217.65 SD = 289.54
Number of animals of specific type currently owned by hh - 10 Cows
Estimated currents value of one of these animal types - 10 Cows
Ownership of animal type - 10 Cows
Number of asset type currently owned - 1 Large pieces of furniture (e. g. sofa, bed, table)
Current total worth of assets type - 1 Large pieces of furniture (e. g. sofa, bed, table)
Number of animals of specific type owned by household five years ago - 10 Cown
Ownership of animal type - 11 Oxen
Number of animals of specific type currently owned by hh - 11 Oxen
Estimated currents value of one of these animal types - 11 Oxen
Number of animals of specific type owned by household five years ago - 11 Oxen
Ownership of assets type - 1 Large pieces of furniture (e. g. sofa, bed, table)
Dollar type - 1 Large pieces of furniture (e. g. sofa, bed, table)- in US Dollar (exchange rate of 30 July 2012)
EB_4_1 n = 462 R = 0-22 M = 3.94 SD = 3.68
EB_1_2 1. Yes 174 21.532. No 632 78.22Doesn't want to say 2 0.25Total 810 100.00
EB_2_2 n = 170 R = 1-2 M = 1.07 SD = 0.25
EB_3_2 n = 121 R = 35000-3000000 M = 427396.7 SD = 335502.2
EB_3_2_ Current total worth of assets n = 121 R = 24.15-2070 M = 294.90 SD = 231.50Dollar type - 2 Refrigerator/ freezer
- in US Dollar (exchange rate of 30 July 2012)
EB_4_2 n = 149 R = 0-2 M = 0.83 SD = 0.40
EB_1_3 1. Yes 535 66.212. No 273 33.79MissingTotal 808 100.00
EB_2_3 n = 527 R = 1-3 M = 1.11 SD = 0.37
EB_3_3 n = 430 R = 1-470000 M = 33915.7 SD = 55862.01
EB_3_3_ Current total worth of assets n = 646 R = 0.01 - 4140 M = 23.40 SD = 38.54Dollar type - 3 Radio - in US Dollar (exchange rate of 30 July 2012)
EB_4_3 n = 430 R = 0.00-324.30 M = 0.90 SD = 0.44
EB_1_4 1. Yes 320 39.512. No 488 60.25Missing 2 0.25Total 810 100.00
EB_2_4 n = 317 R = 1-3 M = 1.05 SD = 0.25
EB_3_4 n = 257 R = 15000-1200000 M = 209408.6 SD = 1553116.4
Number of asset type owned five years ago - 1 Large pieces of furnture (e. g. sofa, bed, table)
Current total worth of assets type - 2 Refrigerator/ freezer
Number of asset type owned five years ago - 2 Refrigerator/freezer
Ownership of assets type - 3 Radio
Number of asset type currently owned - 4 Television
Current total worth of assets type - 4 Television
Number of asset type owned five years ago - 3 Radio
Ownership of assets type - 4 Television
Number of asset type currently owned - 2 Refrigerator/ freezer
Number of asset type currently owned - 3 Radio
Current total worth of assets type - 3 Radio
Ownership of assets type - 2 Refrigator/freezer
EB_3_4_ Current total worth of assets n = 257 R = 10.35 - 828 M = 144.49 SD = 105.65Dollar type - 4 Television - in US Dollar (exchange rate of 30 July 2012)
EB_4_4 n = 261 R = 0-3 M = 0.88 SD = 0.42
EB_1_5 1. Yes 623 76.912. No 185 22.84Missing 2 0.25Total 810 100.00
EB_2_5 n = 619 R = 1-10 M = 2.36 SD = 1.50
EB_3_5 n = 510 R = 5000-700000 M = 68529.41 SD = 68716.68
EB_3_5_ Current total worth of assets n = 510 R = 3.45 - 483 M = 47.29 SD = 47.41Dollar type - 5 Telephone/ mobile
phone - in US Dollar (exchange rate of 30 July 2012)
EB_4_5 n = 497 R = 0-9 M = 1.46 SD = 1.29
EB_1_6 1. Yes 65 8.022. No 742 91.60Missing 2 0.25Don't know 1 0.12Total 810 100.00
EB_2_6 n = 64 R = 1-3 M = 1.31 SD = 0.58
EB_3_6 n = 40 R = 200000-6000000 M = 1027500 SD = 976450.3
EB_3_6_ Current total worth of assets n = 40 R = 138-4140 M = 708.98 SD = 673.75Dollar type - 6 Computer/ laptop - in
US Dollar (exchange rate of 30 July 2012)
EB_4_6 n = 58 R = 0-3 M = 0.63 SD = 0.66
EB_1_7 Ownership of assets type - 1. Yes 17 2.107 Stove/ oven 2. No 791 97.65
Missing 2 0.23Total 810 100.00
EB_2_7 Number of asset type currently n = 14 R = 1-1 M = 1 SD = 0owned - 7 Stove/ oven
EB_3_7 Current total worth of assets n = 9 R = 1 - 1000000 M = 323333.4 SD = 294787.9
Ownership of assets type - 5 Telephone/mobile
Ownership of assets type - 6 Computer/laptop
Number of asset type currently owned - 5 Telephone/mobile
Number of asset type owned five years ago - 4 Television
Current total worth of assets type - 5 Telephone/mobile
Number of asset type owned five years ago - 5 Telephone/mobile
Number of asset type currently owned - 6 Computer/ laptop
Current total worth of assets type - 6 Computer/laptop
Number of asset type owned five years ago - 6 Computer/laptop
type - 7 Stove/ oven
EB_3_7_ Current total worth of assets n = 9 R = 0.00-690 M = 223.10 SD =203.40Dollar type - 7 Stove/ oven - in US Dollar(exchange rate of 30 July 2012)
EB_4_7 Number of asset type owned n = 13 R = 0-1 M = 0.76 SD = 0.43five years ago - 7 Stove/ oven
EB_1_8 Ownership of assets type - 1. Yes 14 1.738 Sewing machine 2. No 794 98.02
Missing 2 0.25Total 810 100.00
EB_2_8 Number of asset type currently n = 14 R = 1-2 M = 1.21 SD = 0.42owned - 8 Sewing machine
EB_3_8 Current total worth of assets n = 11 R = 80000-300000 M = 148181.8 SD = 65699.04type - 8 Sewing machine
EB_3_8_ Current total worth of assets n = 11 R = 55.2 - 207 M = 102.25 SD = 45.33Dollar type - 8 Sewing machine - in
US Dollar (exchange rate of 30 July 2012)
EB_4_8 Number of asset type owned n = 13 R = 0-2 M = 1 SD = 0.70five years ago - 8 Sewingmachine
EB_1_9 Ownership of assets type - 1. Yes 4 0.499 Washing machine.dryer 2. No 804 99.26
Missing 2 0.25Total 810 100.00
EB_2_9 Number of asset type currently n = 3 R = 1-1 M = 1 SD = 0owned - 9 Washing machine/dryer
EB_3_9 Current total worth of assets n = 1 R = 300000-300000 M = 300000 SD = 0 type - 9 Washing machine/ dryer
EB_3_9_ Current total worth of assets no observationsDollar type - 9 Washing machine/
dryer - in US Dollar
EB_4_9 Number of asset type owned n = 2 R = 0-1 M = 0.5 SD = 0.70five years ago - 9 Washing machine/ dryer
EB_1_10 Ownership of assets type - 1. Yes 2 0.2510 Dishwasher 2. No 806 99.51
Missing 2 0.25Total 810 100.00
EB_2_10 Number of asset type currently n = 1 R = 1-1 M = 1 SD = 0owned - 10 Dishwasher
EB_3_10 Current total worth of assets Don't know 2 100.00type - 10 Dishwasher Total 2 100.00
EB_3_10_ Current total worth of assets no observationsDollar type - 10 Dishwasher
in US Dollar
EB_4_10 Number of asset type owned n = 1 R = 0-0 M = 0 SD = /five years ago - 10 Dishwasher
EB_1_11 Ownership of assets type - 1. Yes 112 13.8311 Plough or hue 2. No 695 85.80
Missing 2 0.25Total 810 100.00
EB_2_11 Number of asset type currently n = 112 R = 0-7 M = 1.86 SD = 1.86owned - 11 Plough or hue
EB_3_11 Current total worth of assets n = 104 R = 0-24000 M = 6000 SD = 4992.713type - 11 Plough or hue
EB_3_11 Current total worth of assets n = 104 R = 0 - 16.56 M = 4.14 SD = 3.44type - 11 Plough or hue - inUS Dollar (exchange rate of 30 July 2012)
EB_4_11 n = 100 R = 0-7 M = 1.65 SD = 1.19
EB_1_12 1. Yes 1 0.122. No 806 99.51Don't know 1 0.12Missing 2 0.25Total 810 100.00
EB_2_12 n = 1 R = 1-1 M = 1 SD = 0
EB_3_12 n = 1 R = 10000 - 10000 M = 10000 SD = 0
EB_3_12_ Current total worth of assets n = 1 R = 6.90-6.90 M = 6.90 SD = 0Dollar type - 12 Wagon/ cart (wooden)
- in US Dollar (exchange rate of 30 July 2012)
EB_4_12 no observations
EB_1_13 1. Yes 55 6.792. No 753 92.96Missing 2 0.25Total 810 100.00
EB_2_13 n = 55 R = 1-3 M = 1.10 SD = 0.36
Current total worth of assets type - 12 Wagon/ cart (wooden)
Number of asset type owned five years ago - 12 Wagon/ cart (wooden)
Ownership of assets type - 13 Bicycle
Number of asset type currently owned - 13 Bicycle
Number of asset type owned five years ago - 11 Plough or hue
Ownership of assets type - 12 Wagon/ cart (wooden)
Number of asset type currently owned - 12 Wagon/ cart
EB_3_13 n = 46 R = 40000-200000 M = 94347.83 SD = 37306.67
EB_3_13_ Current total worth of assets n = 46 R = 27.60-138 M = 65.10 SD = 25.74Dollar type - 13 Bicycle - in US Dollar (exchange rate of 30 July 2012)
EB_4_13 n = 46 R = 0-3 M = 0.65 SD = 0.60
EB_1_14 1. Yes 31 3.832. No 777 95.93Missing 2 0.25Total 810 100.00
EB_2_14 Number of asset type currently n = 31 R = 1-4 M = 1.22 SD = 0.66owned - 14 Motorbike
EB_3_14 Current total worth of assets n = 24 R = 30000-8000000 M = 1654167 SD = 1477359type - 14 Motorbike
EB_3_14_ Current total worth of assets n = 24 R = 207-5520 M = 1141.38 SD = 1019.38Dollar type - 14 Motorbike - in US Dollar(exchange rate of 30 July 2012)
EB_4_14 Number of asset type owned n = 21 R = 0-1 M = 0.42 SD = 0.14five years ago - 14 Motorbike
EB_1_15 Ownership of assets type - 1. Yes 69 8.5215 Car/ van/ truck/ pick-up 2. No 739 91.23
Missing 2 0.25Total 810 100.00
EB_2_15 Number of asset type currently n = 69 R = 0-4 M = 1.31 SD = 0.67owned - 15 Car/ van/ truck/ pick-up
EB_3_15 Current total worth of assets n = 49 R = 0-9000000 M = 4453062 SD = 2438159type - 15 Car/ van/ truck/ pick-up
EB_3_15 Current total worth of assets n = 49 R = 0 -6210 M = 3072.61 SD = 1682.33type - 15 Car/ van/ truck/ pick-up - in US Dolalr (exchange rate of 30 July 2012)
EB_4_15 n = 61 R = 0-3 M = 0.85 SD = 0.72
EB_1_16 1. Yes 0 0.002. No 808 99.75Missing 2 0.25Total 810 100.00
EB_2_16 no observationsNumber of asset type currently owned - 16 Boat
Number of asset type owned five years ago - 15 Car/ van/truck/pick up
Current total worth of assets type - 13 Bicycle
Number of asset type owned five years ago - 13 Bicycle
Ownership of assets type - 16 Boat
Ownership of assets type - 14 Motorbike
EB_3_16 no observations
EB_3_16_ Current total worth of assets no observationsDollar type - 16 Boat - in US Dollar
EB_4_16 no observations
EB_1_17 Ownership of assets type - 1. Yes 0 0.0017 Tractor 2. No 808 99.75
Missing 2 0.25Total 810 100.00
EB_2_17 Number of asset type currently no observationsowned - 17 Tractor
EB_3_17 Current total worth of assets no observationstype - 17 Tractor
EB_3_17_ Current total worth of assets no observationsDollar type - 17 Tractor - in US Dollar
EB_4_17 Number of asset type owned no observationsfive years ago - 17 Tractor
EB_1_18 Ownership of assets type - 1. Yes 104 12.8418 Jewelry (e. g. gold, watches) 2. No 702 86.67
Missing 2 0.25Doesn't want to say 2 0.25Total 810 100.00
EB_2_18 Number of asset type currently n =96 R = 1-15 M = 3.29 SD = 2.41owned - 18 Jewelry (e.g. goldwatches)
EB_3_18 Current total worth of assets n= 73 R = 2000- 100000 M = 207794.5 SD = 229399.4type - 18 Jewelry (e.g. gold, waches)
EB_3_18_ Current total worth of assets n = 73 R = 1.38-690 M = 143.38 SD = 158.29Dollar type - 18 Jewelry (e.g. gold,
waches) - in US Dollar (exchange rate of 30 July 2012)
EB_4_18 Number of asset type owned n = 71 R = 0-8 M = 2.38 SD = 1.48five years ago - 18 Jewelry (e. g. gold watches)
F. HOUSEHOLD EXPENDITURES
F_1_1 Expeditures values - 1 Food & n = 765 R = 0-700000 M = 60480.02 SD = 85233.75_Month water/drinks per month
F_1_1 Expeditures values - 1 Food & n = 765 R = 0 - 1932 M = 95.90 SD = 103.07_Month_ water/drinks per month
Number of asset type owned five years ago - 16 Boat
Current total worth of assets type - 16 Boat
Dollar (exchange rate 30 July 2012)
F_1_2 Expeditures values - 2 Other n = 750 R = 0-200000 M = 7455.17 SD = 15839.4_Month groceries (cleaning products,
toiletries, etc.) per month
F_1_2 Expeditures values - 2 Other n = 750 R = 0-165.60 M = 11.49 SD = 19.57_Month_ groceries (cleaning products, Dollar toiletries, etc.) per month (exchange rate 30 July 2012)
F_1_3 Expeditures values - 3 Housing n = 804 R = 0-700000 M = 29030.18 SD = 56941.63_Month (rent/mortgage/maintenance),
land (rent) & maid/gardener/security guard per month
F_1_3 Expeditures values - 3 Housing n = 804 R = 0 - 341.41 M = 20.13 SD = 36.96_Month_ (rent/mortgage/maintenance),Dollar land (rent) & maid/gardener/
security guard per month (exchange rate 30 July 2012)
F_1_4 Expeditures values - 4 n = 785 R = 0-200000 M = 14063.12 SD = 18967.89_Month Electricity and cooking fuels
(petrol/gas/charcoal/wood) permonth
F_1_4 Expeditures values - 4 n = 785 R = 0 - 138 M = 14.81 SD = 15.54_Month_ Electricity and cooking fuelsDollar (petrol/gas/charcoal/wood) per
month (exchange rate 30 July 2012)
F_1_5 n = 640 R = 0-200000 M = 6280.93 SD = 13970.27_Month
F_1_5 Expeditures values - 5 Phone n = 640 R = 0 - 138 M = 8.96 SD = 14.80_Month_ bills, internet and television Dollar usage/subscription per month (exchange rate 30 July 2012)
F_1_6 n = 593 R = 0-1600000 M = 138691.4 SD = 148379.8_Month
F_1_6 Expeditures values - 6 n = 593 R = 0 - 1656 M = 20.04 SD = 101.50_Month Clothing/shoes per month_Dollar (exchange rate 30 July 2012)
F_1_7 n = 566 R = 0-3000000 M = 39680.21 SD = 147035.6_Month
F_1_7 Expeditures values - 7 n = 566 R = 0 - 207 M = 6.26 SD = 15.58_Month_ Healthcare (incl. medication Dollar and treatment) per month (exchange rate 30 July 2012)
F_1_8 n = 738 R = 0-5300000 M = 112574.9 SD = 147035.6_Month
Expeditures values - 5 Phone bills, internet and television usage/subscription per month
Expeditures values - 6 Clothing/shoes per month
Expeditures values - 7 Healthcare (incl. medication and treatment) per month
Expeditures values - 8 Education (school fees, books, etc.) per month
F_1_8 Expeditures values - 8 n = 738 R = 0 - 690 M = 11.65 SD = 39.09_Month_ Education (school fees, books,Dollar etc.) per month (exchange rate 30 July 2012)
F_1_9 n = 648 R = 0-350000 M = 14729.43 SD = 28667.58_Month
F_1_9 Expeditures values - 9 n = 648 R = 0 - 241.5 M = 12.74 SD = 19.68_Month_ Transport (incl. public Dollar transportation, gas/maintenance
for car/bike or beast of burden)per month (exchange rate 30 July 2012)
F_1_10 n = 750 R = 0-3000000 M = 10922.27 SD = 114841.9_Month
F_1_10 Expeditures values - 10 Credit/ n = 750 R = 0 - 241.5 M = 4.41 SD = 17.62_Month_ loan/bank payments (excl. Dollar savings) per month (exchange rate 30 July 2012)
F_1_11 n = 721 R = 0-150000 M = 2177.96 SD = 10008.02_Month
F_1_11 Expeditures values - 11 n = 721 R = 0 - 34.5 M = 0.55 SD = 2.65_Month_ Insurance and taxes per monthDollar (exchange rate 30 July 2012)
F_1_12 n = 798 R = 0-23000 M = 53.13 SD = 899.39_Month
F_1_12 Expeditures values - 12 n = 798 R = 0 - 15.87 M = 0.04 SD = 0.65_Month_ Donations to agricaltural Dollar cooperatives, savings and
credit associations & funeralassociations per month (exchange rate 30 July 2012)
F_1_13 n = 798 R = 0-100000 M = 239.59 SD = 3666.66_Month
F_1_13 Expeditures values - 13 n = 798 R = 0 - 13.8 M = 0.03 SD = 0.53_Month_ Donations to community Dollar projects per month (exchange rate 30 July 2012)
F_1_14 Expeditures values - 14 n = 741 R = 0-185000 M = 2109.52 SD = 10802.68_Month Donations to religious
Expeditures values - 11 Insurance and taxes per month
Expeditures values - 12 Donations to agricaltural cooperatives, savings and credit associations & funeral associations per month
Expeditures values - 13 Donations to community projects per month
month
Expeditures values - 9 Transport (incl. public transportation, gas/maintenance for car/bike or beast of burden) per month
Expeditures values - 10 Credit/loan/bank payments (excl. savings) per month
organizations (e.g. a church) per month
F_1_14 Expeditures values - 14 n = 741 R = 0 - 69 M = 0.68 SD = 3.49_Month_ Donations to religious Dollar organizations (e.g. a church)
per month (exchange rate 30 July 2012)
F_1_15 n = 684 R = 0-500000 M = 23137.35 SD = 47008.45_Month
F_1_15 Expeditures values - 15 Gifts to n = 684 R = = 0 - 207 M = 5.19 SD = 13.08_Month_ family or friends that are not Dollar part of the household per
month (exchange rate 30 July 2012)
F_1_16 n = 694 R = 0-500000 M = 13608.14 SD = 44324.79_Month
F_1_16 Expeditures values - 16 n = 694 R = 0 - 220.8 M = 6.02 SD = 18.24_Month_ Entertainment/leisure (e.g. Dollar going out with friends, going to
the cinema, etc.) per month (exchange rate 30 July 2012)
G. HOUSEHOLD INCOME
Income_1 1. Yes 810 100.002. No 0 0.00Total 810 100.00
G_1_1 Income generating activity 1 44 5.43
2. Livestock production for 0 0.00home consumption3. Production & sale of field 8 0.99crops4. Production & sales of cash 2 0.25crops (except opium)5. Production & sale of opium 0 0.006. Production & sales of 0 0.00orchard products7. Production & sales of 1 0.12livestock and products8. Sales of prepared foods 2 0.259. Agricultural wage labor 14 1.73(Non opium)10. Opium wage labor 28 3.4611. Shepherding 0 0.0012. Miller 0 0.0013. Unskilled day labour 102 12.5914. Skilled labour 92 11.36
1. Crop production for home consumption
Does this household has an income generating activity (yes/no)
Expeditures values - 15 Gifts to family or friends that are not part of the hh per month
Expeditures values - 16 Entertainment/leisure (e.g. going out with friends, going to the cinema, etc.) per month
15. Salary/Government job/ 122 15.06Teacher/NGO/UN16. Small business 31 3.8317. Petty trade/shopkeeping 140 17.2818. Cross border trade 10 1.2319. Firewood/charcoal sales 1 0.1220. Handicrafts (sewing, 20 2.47embroidery, etc.)21. Carpet weaving 0 0.0022. Mining 0 0.0023. Military service 2 0.2524. Taxi/transport 31 3.8325. Seasonal migration 0 0.0026. Remittances from inside 27 3.33the country27. Pension 3 0.3728. Other government benefits 1 0.1229. Rental income 40 4.9430. Sale of food aid 1 0.1231. Begging 6 0.7432. Other 82 10.12Total 810 100.00
G_2_1 n = 808 R = 2-100 M = 83.89 SD = 23.30
G_3_1 n = 757 R = 2-12 M = 10.88 SD = 2.54
G_4_1 n = 340 R = 0-2000000 M = 144592.5 SD = 218321.6
G_4_1_ Average household income per n = 340 R = 0 - 1380 M = 99.77 SD = 150.64Dollar month from income generating
activity 1 (exchange rate 30 July 2012)
Income_2 1. Yes 198 24.442. No 612 75.55Total 810 100.00
G_1_2 1. Crop production for home 21 10.61consumption2. Livestock production for 1 0.51home consumption3. Production & sale of field 3 1.52crops4. Production & sales of cash 0 0.00crops (except opium)5. Production & sale of opium 0 0.006. Production & sales of 1 0.51orchard products7. Production & sales of 0 0.00livestock and products
Proportion that activity 1 gives to the total household income
Income generating activity 2
Number of months the household has income generating activity 1 in the past 12 months
Average household income per month from income generating activity 1
Does this household have a second income generating activity (yes/no)
8. Sales of prepared foods 0 0.009. Agricultural wage labor 8 4.04(Non opium)10. Opium wage labor 0 0.0011. Shepherding 0 0.0012. Miller 0 0.0013. Unskilled day labour 17 8.5914. Skilled labour 15 7.5815. Salary/Government job/ 29 14.65Teacher/NGO/UN16. Small business 6 3.0317. Petty trade/shopkeeping 38 19.1918. Cross border trade 1 0.5119. Firewood/charcoal sales 0 0.0020. Handicrafts (sewing, 2 1.01embroidery, etc.)21. Carpet weaving 0 0.0022. Mining 0 0.0023. Military service 1 0.5124. Taxi/transport 3 1.5225. Seasonal migration 0 0.0026. Remittances from inside 10 5.05the country27. Pension 2 1.0128. Other government benefits 0 0.0029. Rental income 16 8.0830. Sale of food aid 1 0.5131. Begging 2 1.0132. Other 21 10.61Total 198 100.00
G_2_2 n = 198 R = 1-100 M = 48.39 SD = 18.92
G_3_2 Number of months the n = 190 R = 2-12 M = 9.98 SD = 3.18household has income generating activity 2 in the past12 months
G_4_2 Average household income per n = 104 R = 30-1500000 M = 126441.6 SD = 239620.7month from income generatingactivity 2
G_4_2_ Average household income per n = 104 R = 0.02-1035 M =87.24 SD = 165.34Dollar month from income generating
activity 2 (exchange rate 30 July 2012)
Income_3 Does this household have a 1. Yes 17 2.10third income generating 2. No 193 97.90activity (yes/no) Total 810 100.00
G_1_3 Income generating activity 3 1. Crop production for home 5 29.41consumption2. Livestock production for 0 0.00home consumption3. Production & sale of field 1 5.88
Proportion that activity 2 gives to the total household income
crops4. Production & sales of cash 0 0.00crops (except opium)5. Production & sale of opium 0 0.006. Production & sales of 0 0.00orchard products7. Production & sales of 0 0.00livestock and products8. Sales of prepared foods 0 0.009. Agricultural wage labor 0 0.00(Non opium)10. Opium wage labor 0 0.0011. Shepherding 0 0.0012. Miller 0 0.0013. Unskilled day labour 1 5.8814. Skilled labour 0 0.0015. Salary/Government job/ 2 11.76Teacher/NGO/UN16. Small business 1 5.8817. Petty trade/shopkeeping 4 23.5318. Cross border trade 0 0.0019. Firewood/charcoal sales 0 0.0020. Handicrafts (sewing, 0 0.00embroidery, etc.)21. Carpet weaving 0 0.0022. Mining 0 0.0023. Military service 0 0.0024. Taxi/transport 0 0.0025. Seasonal migration 0 0.0026. Remittances from inside 1 5.88the country27. Pension 0 0.0028. Other government benefits 0 0.0029. Rental income 1 5.8830. Sale of food aid 1 5.8831. Begging 0 0.0032. Other 0 0.00Total 17 100.00
G_2_3 n = 16 R = 5-80 M = 35.31 SD = 22.02
G_3_3 n = 17 R = 2-12 M = 8.64 SD = 3.88
G_4_3 n = 9 R = 10-800000 M = 128900 SD = 255945.1
G_4_3_ Average household income per n = 9 R = 0.01-552 M = 88.94 SD = 176.60Dollar month from income generating
activity 3 (exchange rate 30 July 2012)
Income_4 1. Yes 1 0.00
Proportion that activity 3 gives to the household income
Does this household have a
Average household income per month from income generating activity 3
Number of months the household has income generating activity 3 in the past 12 months
2. No 799 98.64Total 810 100.00
G_1_4 1. Crop production for home 1 100.00consumption2. Livestock production for 0 0.00home consumption3. Production & sale of field 0 0.00crops4. Production & sales of cash 0 0.00crops (except opium)5. Production & sale of opium 0 0.006. Production & sales of 0 0.00orchard products7. Production & sales of 0 0.00livestock and products8. Sales of prepared foods 0 0.009. Agricultural wage labor 0 0.00(Non opium)10. Opium wage labor 0 0.0011. Shepherding 0 0.0012. Miller 0 0.0013. Unskilled day labour 0 0.0014. Skilled labour 0 0.0015. Salary/Government job/ 0 0.00Teacher/NGO/UN16. Small business 0 0.0017. Petty trade/shopkeeping 0 0.0018. Cross border trade 0 0.0019. Firewood/charcoal sales 0 0.0020. Handicrafts (sewing, 0 0.00embroidery, etc.)21. Carpet weaving 0 0.0022. Mining 0 0.0023. Military service 0 0.0024. Taxi/transport 0 0.0025. Seasonal migration 0 0.0026. Remittances from inside 0 0.00the country27. Pension 0 0.0028. Other government benefits 0 0.0029. Rental income 0 0.0030. Sale of food aid 0 0.0031. Begging 0 0.0032. Other 0 0.00Total 1 100.00
G_2_4 Proportion that activity 2 gives n = 1 R = 30 M = 30 SD = -to the household income
G_3_4 n = 1 R = 4 M = 4 SD = -
G_4_4 no observations
fourth income generating activity (yes/no)
Average household income per month from income generating
Number of months the household has income generating activity 4 in the past 12 months
Income generating activity 4
G_4_4_ Average household income per no observationsDollar month from income generating
activity 4
H. A ECONOMIC SHOCKS & CONFLICT EXPERIENCES
HA_1 1. Yes 263 32.472. No 547 67.53Total 810 100.00
HA_2_1 n = 263 R = 0-7 M = 0.53 SD = 0.99
HA_2_2 n = 263 R = 0-1 M = 0.02 SD = 0.12
HA_2_3 n = 263 R = 0-3 M = 0.06 SD = 0.29
HA_2_4 n = 263 R = 0-1 M = 0.007 SD = 0.087
HA_2_5 n = 263 R = 0-4 M = 0.171 SD = 0.506
HA_2_6 n = 263 R = 0-1 M = 0.026 SD = 0.161
HA_2_7 n = 263 R = 0-2 M = 0.041 SD = 0.218
HA_2_8 n = 263 R = 0-2 M = 0.114 SD = 0.352
HA_2_9 n = 263 R = 0-9 M = 0.349 SD = 0,846
HA_2_10 n = 263 R = 0-12 M = 0.608 SD = 1.264
HA_2_11 n = 263 R = 0-5 M = 0.532 SD = 0,885
HA_2_12 n = 263 R = 0-3 M = 0.250 SD = 0.492
Frequency of shocks in the past 5 years - 2 Land distribution
month from income generating activity 4
Frequency of shocks in the past 5 years - 4 Destruction or theft of agricultural tools
Frequency of shocks in the past 5 years - 5 Theft of cash
Frequency of shocks in the past 5 years - 6 Theft of crops or livestock
Frequency of shocks in the past 5 years - 12 Death of adult man
Household affected by economic shock in the past 5 years
Frequency of shocks in the past 5 years - 1 Job loss
Frequency of shocks in the past 5 years - 11 Serious illness of a child
Frequency of shocks in the past 5 years - 3 Confiscation of assets
Frequency of shocks in the past 5 years - 7 Theft or destruction of housing
Frequency of shocks in the past 5 years - 8 Theft or destruction of other assets
Frequency of shocks in the past 5 years - 9 Serious illness of adult man
Frequency of shocks in the past 5 years - 10 Serious illness of adult woman
HA_2_13 n = 263 R = 0-1 M = 0.140 SD = 0.348
HA_2_14 n = 263 R = 0-9 M = 0.148 SD = 0.696
HA_2_15 n = 263 R = 0-1 M = 0.076 SD = 0.265
HA_2_16 Frequency of shocks in the past n = 263 R = 0-3 M = 0.425 SD = 0.6775 years - 16 Wedding/funeral
HB_1 Frequency of conflict n = 263 R = 0-3 M = 0.098 SD = 0.335experiences during the last period of conflict - 1 Land disputes
HB_2 Frequency of conflict n = 263 R = 0-3 M = 0.019 SD = 0.204experiences during the last period of conflict - 2 Imprisonment of a hh member
HB_3 Frequency of conflict n = 263 R= 0-6 M = 0.030 SD = 0.379experiences during the last period of conflict - 3 Persecution of a hh member
HB_4 Frequency of conflict n = 263 R = 0-1 M = 0.011 SD = 0.106experiences during the last period of conflict - 4 Crimeresulting in death/disamblementof a hh member
HB_5 Frequency of conflict n = 263 R = 0-0 M = 0 SD = 0experiences during the last period of conflict - 5 Conscription, abduction or draft (into army) of adult hhmember
HB_6 Frequency of conflict n = 263 R = 0-0 M = 0 SD = 0experiences during the last period of conflict - 6 Resettlement/villagization/ forced migration of the whole hh
HB_7 n = 263 R = 0-0 M = 0 SD = 0Frequency of conflict experiences during the last period of conflict - 7 Restriction
Frequency of shocks in the past five years - 15 Divorce/separation/abandonment
years - 12 Death of adult man due to accident/illness
Frequency of shocks in the past 5 years - 13 Death of adult woman due to accident/illness
Frequency of shocks in the past 5 years - 14 Death of child due to accident/illness
HC_1 1. Yes 161 19.882. No 648 80.00Don't know 1 0.12Total 810 100.00
HC_2 1. Yes 158 19.512. No 649 80.12Don't know 2 0.25Doesn't want to say 1 0.12Total 810 100.00
I. BORROWING AND SAVING
I_1 1. Yes 343 42.352. No 467 57.65Missing 0 0.00Total 810 100.00
I_2 1. There is no bank near our 1 0.21home or work2. We do not trust banks 2 0.433. The procedure for opening 0 0.00an account is complicated4. We do not have money to 431 92.29put in a bank account5. I/we was/were refused by 0 0.00the bank6. It is too expensive to open 22 4.71an account7. We have no need for a bank 10 2.14account8. Other 1 0.21Total 467 100.00
I_3 1. Yes 55 6.792. No 755 93.21Missing 0 0.00Total 810 100.00
I_4 1. Yes 277 34.202. No 495 61.11Don't know 30 3.70Doesn't want to say 8 0.99Missing 0 0.00Total 810 100.00
I_5 n = 103 R = 0 - 4000000 M = 37281.7 SD = 654438
I_5_Dollar Total amount the household n = 103 R = 0 -2760 M = 257.24 SD = 451.56saved in the past 12 months- in US Dollar
period of conflict - 7 Restriction on movement or bans on migration
Does anyone in the household currently have a bank account
Reason why nobody in the household currently has a bank account
Household members ever placed in a regroupment camp
Household members ever placed in a replacement camp
Does anyone in the household have health insurance
Does the household save in any way
Total amount the household saved in the past 12 months
I_6 1. Sale of animals 2 0.252 0.25
3. Sale of household assets 5 0.624. Sale of crops 15 1.855. Own cash/savings 429 52.966. association 5 0.62
224 27.65
5 0.62
50 6.17
7 0.86
11. Other 66 8.15Total 810 100.00
I_7 1. Yes 296 36.542. No 498 61.48Don't know 15 1.85Doesn't want to say 1 0.12Missing 0 0.00Total 810 100.00
I_8a 1. Sale of animals 1 0.342. Sale of other farm/business 2 0.68assets3. Sale of household assets 2 0.684. Sale of crops 0 0.005. Own cash/savings 237 80.076. Savings associations 2 0.687. Loan from family/friends in 37 12.50Burundi8. Loan from family/friends 4 1.35abroad9. Gift from family/friends in 2 0.68Burundi10. Gift from family/friends 3 1.01abroad11. Other 5 1.69Don't know 1 0.34Doesn't want to say 0 0.00Total 296 100.00
I_8b 1. Sale of animals 3 1.012. Sale of other farm/business 1 0.34assets3. Sale of household assets 5 1.694. Sale of crops 2 0.685. Own cash/savings 20 6.766. Savings associations 3 1.017. Loan from family/friends in 109 36.82Burundi8. Loan from family/friends 6 2.03abroad
8. Loan from family/friends abroad9. Gift from family/friends in Burundi10. Gift from family/friends abroad
If the household needed 100 dollars for an emergency could the household obtain it within a week
Most important way the household would obtain the 100 US dollars
Second most important way the household would obtain the 100 US dollars
2. Sale of other farm/business assets
7. Loan from family/friends in Burundi
Under regular circumstances, how does the household generate
9. Gift from family/friends in 1 0.34Burundi10. Gift from family/friends 3 1.01abroad11. Other 2 0.68N.A. 140 47.30Don't know 1 0.34Total 296 100.00
I_8c 1. Sale of animals 0 0.002. Sale of other farm/business 0 0.00assets3. Sale of household assets 5 1.694. Sale of crops 0 0.005. Own cash/savings 4 1.356. Savings associations 12 4.057. Loan from family/friends in 15 5.07Burundi8. Loan from family/friends 2 0.68abroad9. Gift from family/friends in 0 0.00Burundi10. Gift from family/friends 4 1.35abroad11. Other 5 1.69N.A. 247 83.45Don't know 2 0.68Total 296 100.00
J. USAGE OF & ACCESS TO FACILITIES
J_1 1. Private tap in the house 346 42.722. Tap that is shared within the 399 49.26community3. Private well 0 0.004. Community/shared well 4 0.495. River, lake, pond or stream 3 0.376. Bottled water 9 1.117. Other 49 6.05Missing 0 0.00Total 810 100.00
J_2 1. Private tap in the house 339 41.852. Tap that is shared within the 390 48.15community3. Private well 0 0.004. Community/shared well 6 0.745. River, lake, pond or stream 19 2.356. Bottled water 10 1.237. Other 46 5.68Missing 0 0.00Total 810 100.00
J_3 1. Own flush toilet 154 19.012. Pit/Latrine Private 242 29.883. Shared flush toilet 7 0.86
Primary source of water for this household in the rainy season
Primary source of water for this household in the dry season
Type of toilet this household uses
Third most important way the household would obtain the 100 US dollars
4. Pit/ Latrine Shared 406 50.125. Pan/ Bucket 0 0.006. No toilet 1 0.127. Other 0 0.00Missing 0 0.00Total 810 100.00
J_4 1. Electricity 21 2.592. Gas 2 0.253. Kerosene 0 0.004. Charcoal 721 89.015. Wood 61 7.536. Straw/shrubs/grass 2 0.257.Animal dung 0 0.008. Other 3 0.37Missing 0 0.00Total 810 100.00
J_5 1. Electricity (public source) 471 58.152. Electricity (private source, 3 0.37e.g. generator)3. Electricity combination 1 0.12public and private4. Kerosene, gas, candles 289 35.685. Other 46 5.68Missing 0 0.00Total 810 100.00
J_6_1 1. Yes 166 20.492. No 644 79.51Missing 0 0.00Total 810 100.00
J_7_1 1. Too expensive 60 9.322. Too far 2 0.313. Poor quality service 18 2.804. Incomplete service 7 1.095. Have no experience 111 17.246. Have no need to use it 444 68.947. They denied service to me 1 0.168. Other 1 0.16Total 644 100.00
J_6_2 1. Yes 765 94.442. No 43 5.31Missing 2 0.25Total 810 100.00
J_7_2 1. Too expensive 4 9.302. Too far 0 0.003. Poor quality service 8 18.604. Incomplete service 10 23.265. Have no experience 4 9.306. Have no need to use it 16 37.217. They denied service to me 0 0.008. Other 1 2.33
Usage of facility by any member of the household - 2 Health care/clinic
Type of fuel this household mainly uses for cooking
Type of lighting this household mainly uses
Usage of facility by any member of the household - 1 Post office
Reason for not using facility - 1 Post office
Reason for not using facility - 2 Health centre/clinic
Total 43 100.00
J_6_3 1. Yes 791 97.652. No 17 2.10Missing 2 0.25Total 810 100.00
J_7_3 1. Too expensive 14 82.352. Too far 0 0.003. Poor quality service 0 0.004. Incomplete service 0 0.005. Have no experience 0 0.006. Have no need to use it 3 17.657. They denied service to me 0 0.008. Other 0 0.00Total 17 100.00
J_6_4 1. Yes 745 91.982. No 63 7.78Missing 2 0.25Total 810 100.00
J_7_4 1. Too expensive 27 42.862. Too far 0 0.003. Poor quality service 0 0.004. Incomplete service 0 0.005. Have no experience 1 1.596. Have no need to use it 33 52.387. They denied service to me 0 0.008. Other 2 3.17Total 63 100.00
J_6_5 1. Yes 365 45.062. No 443 54.69Missing 2 0.25Total 810 100.00
J_7_5 1. Too expensive 7 1.582. Too far 0 0.003. Poor quality service 0 0.004. Incomplete service 0 0.005. Have no experience 285 64.336. Have no need to use it 149 33.637. They denied service to me 0 0.008. Other 2 0.45Total 443 100.00
J_6_6 1. Yes 181 22.352. No 627 77.41Missing 2 0.25Total 810 100.00
J_7_6 Reason for not using facility - 1. Too expensive 7 1.126 Money transfer operator (e.g. 2. Too far 1 0.16Western Union, Money Gram, 3. Poor quality service 2 0.32etc.) 4. Incomplete service 0 0.00
Usage of facility by any member of the household - 3 Hospital
Usage of facility by any member of the household - 4 Public transpotation ((mini)bus, (motor)taxi, etc.)
Usage of facility by any member of the household - 6 Money transfer operator (e.g. Western Union, Money Gram, etc.)
Reason for not using facility - 5 Internet café/connection
Usage of facility by any member of the household - 5 Internet café/connection
Reason for not using facility - 3 Hospital
Reason for not using facility - 4 Public transpotation ((mini)bus, (motor)taxi, etc.)
5. Have no experience 283 45.146. Have no need to use it 330 52.637. They denied service to me 0 0.008. Other 4 0.64Total 627 100.00
J_6_7 Usage of facility by any 1. Yes 196 24.20member of the household - 7 2. No 612 75.56Micro-finance institution Missing 2 0.25
Total 810 100.00
J_7_7 Reason for not using facility - 1. Too expensive 31 5.077 Micro-finance institution 2. Too far 1 0.16
3. Poor quality service 48 7.844. Incomplete service 13 2.125. Have no experience 154 25.166. Have no need to use it 364 59.487. They denied service to me 1 0.168. Other 0 0.00Total 612 100.00
K. SUBJECTIVE WEALTH
K_1 1. Finding it very difficult 58 7.162. Finding it difficult 205 25.313. Coping (neutral) 369 45.564. Living comfortably 151 18.645. Living very comfortably 24 2.96Doesn't want to say 3 0.37Total 810 100.00
K_2 Change in living conditions of 1. Become much worse 38 4.69this household compared to 2. Become worse 198 24.44five years ago 3. Stayed the same 237 29.26
4. Improved 204 25.195. Very much improved 22 2.72Don't know 4 0.49Doesn't want to say 4 0.49N.A. 103 12.72Total 810 100.00
K_3 1. Among the poorest in the 91 11.23community2. Below average 188 23.213. About average 463 57.164. Above aberage 35 4.325. Among the richest in the 17 2.10communityDon't know 11 1.36Doesn't want to say 5 0.62Total 810 100.00
K_4 Description of this household 1. Among the poorest in the 51 6.30five years ago compared to communityother household in this 2. Below average 143 17.65community 3. About average 456 56.30
Description of the current economic situation of the household
Description of this household compared to other households in this community
4. Above average 27 3.335. Among the richest in the 9 1.11communityDon't know 10 1.23Doesn't want to say 4 0.49N.A. 110 13.58Total 810 100.00
K_5 Frequency of household having 1. Daily 166 20.49difficulty meeting food needs 2. Weekly 82 10.12
3. Monthly 49 6.054. Once every few months 73 9.015. Never 438 54.07Don't know 2 0.25Doesn't want to say 0 0.00Total 810 100.00
K_6 n = 805 R = 0 - 12 M = 0.08 SD = 0.79
L. FORMAL NETWORKS
L_1 1. Yes 115 14.202. No 690 85.19Don't know 5 0.62Total 810 100.00
L_1_1 n = 115 R = 0-2 M = 0.608 SD = 0.274
L_1_2 n = 115 R = 0-2 M = 0.052 SD = 0.259
L_1_3 n = 115 R = 0-2 M = 0.086 SD = 0.339
L_1_4 n = 115 R = 0-2 M = 0.469 SD = 0.566
L_1_5 n = 115 R = 0-2 M = 0.208 SD = 0.449
L_1_6 n = 115 R = 0-8 M = 0.878 SD = 1.427
Number of hh members that are an active member of this organization - 1 Water/waste or fisherman's group
Number of hh members that are an active member of this organization - 2 Agricultural cooperative
Number of hh members that are an active member of this organization - 3 Trader's association/business group
Number of hh members that are an active member of this organization - 4 Credit or savings association
Number of times this household received food aid in the past 12 months
Number of hh members that are an active member of this organization - 6 Religious group
Number of hh members that are an active member of this organization - 5 Barial/funeral association
Is any of the household member a member of any organization
L_1_7 n = 115 R = 0-5 M = 0.339 SD = 0.759
L_1_8 n = 115 R = 0-4 M = 0.339 SD = 0.699
L_1_9 n = 115 R = 0-2 M = 0.208 SD = 0.486
L_1_10 n = 115 R = 0-1 M =0.026 SD = 0.160
L_1_11 n = 115 R = 0-2 M = 0.260 SD = 0.563
L_1_12 n = 115 R = 0-2 M = 0.095 SD = 0.349
L_1_13 n = 115 R = 0-4 M = 0.252 SD = 0.633
M. OPINIONS
M_1_1 1. No trust at all 8 0.992. Little trust 35 4.323. Neutral 18 2.224. Quite a lot of trust 214 26.425. Completely trust 531 65.56Doesn't want to say 1 0.12Don't know 3 0.37Total 810 100.00
M_1_2 Trust in people from 1. No trust at all 5 0.62neighboring communities 2. Little trust 53 6.54
3. Neutral 40 4.944. Quite a lot of trust 222 27.415. Completely trust 473 58.40Don't know 16 1.98Doesn't want to say 1 0.12Total 810 100.00
M_1_3 1. No trust at all 18 2.222. Little trust 38 4.69
Number of hh members that are an active member of this organization - 11 Labour union
Number of hh members that are an active member of this organization - 13 Other
Number of hh members that are an active member of this organization - 9 Women's group/youth group
Trust in people in your neighborhood
Trust in community leaders
Number of hh members that are an active member of this organization - 8 Sport, recreational art, music group
Number of hh members that are an active member of this organization - 12 Humanitarian
Number of hh members that are an active member of this organization - 10 School/health committee
organization - 6 Religious group or organization (church, mosque)
Number of hh members that are an active member of this organization - 7 Political party
3. Neutral 66 8.154. Quite a lot of trust 199 24.575. Completely trust 470 58.02Don't know 15 1.85Doesn't want to say 3 0.37N.A. 1 0.12Total 810 100.00
M_1_4 1. No trust at all 3 0.372. Little trust 14 1.733. Neutral 29 3.584. Quite a lot of trust 214 26.425. Completely trust 545 67.28Don't know 1 0.12Doesn't want to say 3 0.37N.A. 1 0.12Total 810 100.00
M_1_5 1. No trust at all 4 0.492. Little trust 13 1.603. Neutral 32 3.954. Quite a lot of trust 224 27.655. Completely trust 530 65.43Don't know 4 0.49Doesn't want to say 2 0.25N.A. 1 0.12Total 810 100.00
M_1_6 1. No trust at all 29 3.582. Little trust 42 5.193. Neutral 128 15.804. Quite a lot of trust 211 26.055. Completely trust 353 43.58Don't know 38 4.69Doesn't want to say 2 0.25N.A. 7 0.86Total 810 100.00
M_1_7 Trust in people from Burundi 1. No trust at all 11 1.36who have migrated and 2. Little trust 45 5.56recently returned 3. Neutral 93 11.48
4. Quite a lot of trust 300 37.045. Completely trust 312 38.52Don't know 21 2.59Doesn't want to say 1 0.12N.A. 27 3.33Total 810 100.00
M_2_1 When people leave the country, 1. Strongly disagree 361 44.57it makes life harder for those 2. Disagree 35 4.32who stay 3. Neutral 105 12.96
4. Agree 129 15.935. Strongly agree 132 16.30Don't know 48 5.93Total 810 100.00
Trust in people of another ethnic group
Trust in people of another religion
Trust in people from Burundi who have migrated and live abroad
M_2_2 When people leave the country, 1. Strongly disagree 162 20.00they still contribute to the 2. Disagree 48 5.93country of origin 3. Neutral 133 16.42
4. Agree 220 27.165. Strongly agree 142 17.53Don't know 104 12.84Doesn't want to say 1 0.12Total 810 100.00
M_2_3 When people leave the country, 1. Strongly disagree 42 5.19they are able to support families 2. Disagree 18 2.22in country of origin 3. Neutral 98 12.10
4. Agree 223 27.535. Strongly agree 378 46.67Don't know 50 6.17Doesn't want to say 1 0.12Total 810 100.00
M_2_4 When people leave the country, 1. Strongly disagree 521 64.32they abandon their country 2. Disagree 58 7.16
3. Neutral 55 6.794. Agree 91 11.235. Strongly agree 55 6.79Don't know 27 3.33Doesn't want to say 3 0.37Total 810 100.00
M_2_5 1. Strongly disagree 100 12.352. Disagree 35 4.323. Neutral 157 19.384. Agree 253 31.235. Strongly agree 209 25.80Don't know 55 6.79Doesn't want to say 1 0.12Total 810 100.00
M_2_6 1. Strongly disagree 508 62.722. Disagree 67 8.273. Neutral 57 7.044. Agree 71 8.775. Strongly agree 46 5.68Don't know 59 7.28Doesn't want to say 2 0.25Total 810 100.00
M_2_7 1. Strongly disagree 177 21.852. Disagree 26 3.213. Neutral 59 7.284. Agree 237 29.265. Strongly agree 246 30.37Don't know 62 7.65Doesn't want to say 3 0.37Total 810 100.00
M_2_8 1. Strongly disagree 228 28.152. Disagree 52 6.42
When people receive money from abroad, it leads to resentment from others
When people leave the country, they get rich
When people receive money from abroad, they become lazier
When people receive money from abroad, they get rich
3. Neutral 125 15.434. Agree 229 28.275. Strongly agree 124 15.31Don't know 50 6.17Doesn't want to say 2 0.25Total 810 100.00
M_2_9 1. Strongly disagree 145 17.902. Disagree 27 3.333. Neutral 84 10.374. Agree 220 27.165. Strongly agree 253 31.23Don't know 78 9.63Doesn't want to say 3 0.37Total 810 100.00
M_2_10 1. Strongly disagree 126 15.562. Disagree 36 4.443. Neutral 114 14.074. Agree 216 26.675. Strongly agree 214 26.42Don't know 101 12.47Doesn't want to say 3 0.37Total 810 100.00
M_2_11 1. Strongly disagree 507 62.592. Disagree 43 5.313. Neutral 80 9.884. Agree 43 5.315. Strongly agree 68 8.40Don't know 67 8.27Doesn't want to say 2 0.25Total 810 100.00
M_2_12 1. Strongly disagree 60 7.412. Disagree 14 1.733. Neutral 74 9.144. Agree 259 31.985. Strongly agree 337 41.60Don't know 65 8.02Doesn't want to say 1 0.12Total 810 100.00
M_2_13 1. Strongly disagree 196 24.202. Disagree 24 2.963. Neutral 88 10.864. Agree 211 26.055. Strongly agree 200 24.69Don't know 89 10.99Doesn't want to say 2 0.25Total 810 100.00
M_3_1 1. Strongly disagree 634 78.272. Disagree 15 1.853. Neutral 2 0.254. Agree 27 3.33
When people receive money from abroad, it helps develop our country
When people who have lived abroad come back, they help the country
When people who have lived abroad come back, they do not fit in
When people who have lived new ideas, knowledge and technology
Only men should make decisions about big spending
When people who have lived abroad come back, they receive preferential treatment
from abroad, they get rich
5. Strongly agree 113 13.95Don't know 18 2.22Doesn't want to say 1 0.12Total 810 100.00
M_3_2 1. Strongly disagree 614 75.802. Disagree 21 2.593. Neutral 9 1.114. Agree 45 5.565. Strongly agree 114 14.07Don't know 7 0.86Total 810 100.00
M_3_3 1. Strongly disagree 633 78.152. Disagree 9 1.113. Neutral 9 1.114. Agree 29 3.585. Strongly agree 120 14.81Don't know 10 1.23Total 810 100.00
M_3_4 1. Strongly disagree 642 79.262. Disagree 1 0.123. Neutral 0 0.004. Agree 2 0.255. Strongly agree 165 20.37Don't know 0 0.00Total 810 100.00
M_4_1 1. True 87 32.222. False 176 65.19Don't know 7 2.59Total 270 100.00
M_4_2 1. True 51 18.892. False 209 77.41Don't know 6 2.22Doesn't want to say 4 1.48Total 270 100.00
M_4_3 1. True 27 10.002. False 226 83.70Don't know 16 5.93Doesn't want to say 1 0.37Total 270 100.00
M_4_4 1. True 16 5.932. False 245 90.74Don't know 9 3.33Total 270 100.00
M_4_5 1. True 248 45.932. False 252 46.67Don't know 38 7.04Doesn't want to say 2 0.37Total 540 100.00
At least one member of my household plans on opening a new business in the next five years
Only women should take responsibility for the household
This household has at least a member currently residing abroad without a legal residence
Education is more important for boys than for girls earning income
Only men should be responsible for providing/earning income
At least one member of my household plans on opening a new business in the next five
The economic situation of my household has improved considerably over the past five years
Corruption in my country is a less serious problem than ten years ago
M_4_6 1. True 135 252. False 374 69.26Don't know 25 4.63Doesn't want to say 6 1.11Total 540 100.00
M_4_7 1. True 75 13.892. False 391 72.41Don't know 70 12.96Doesn't want to say 4 0.74Total 540 100.00
N. SAFETY & SECURITY
N_1_1 I feel reconcilied with the 1. Strongly disagree 124 15.31atrocities that I experienced 2. Disagree 84 10.37during the war in Burundi 3. Neutral 33 4.07
4. Agree 208 25.685. Strongly angree 344 42.47Doesn't want to say 2 0.25Don't know 15 1.85Total 810 100.00
N_1_2 1. Strongly disagree 402 49.632. Disagree 102 12.593. Neutral 48 5.934. Agree 54 6.675. Strongly angree 94 11.60Doesn't want to say 8 0.99Don't know 102 12.59Total 810 100.00
N_1_3 1. Strongly disagree 91 11.232. Disagree 79 9.753. Neutral 23 2.844. Agree 176 21.735. Strongly angree 367 45.31Doesn't want to say 10 1.23Don't know 64 7.90Total 810 100.00
O. RETURN MIGRATION O. A MIGRATION HISTORY
Return Return migrant household yes/ 1. Yes 106 13.09no 2. No 704 86.91
Total 810 100.00
Return_ Was the return migrant module 1. Yes 68 64.15Module filled in yes/no 2. No 38 35.85
Total 106 100.00
Migration_Migration episode number 1 6 91.89Eipsode 2 68 8.11
Total 74 100.00
The economic position of my hh has improved considerably over the past five years
I feel justice has been done to those who committed crimes during the war in Burundi
Corruption in my country is a less serious problem than ten years ago
I feel the reoccurence of conflict in Burundi is a real danger
OA_1a Month of migration n = 53 R = 2-12 M = 7.43 SD = 3.16
OA_1b Year of migration n = 72 R = 1954-2010
OA_2a Destination of migration - See dataCity/village
OA_2b Destination of migration - Cameroun 1 1.35Country Canada 1 1.35
DRC 37 50Egypt 1 1.35France 1 1.35Kenya 1 1.35Rwanda 14 18.92South Africa 1 1.35Sweden 1 1.35Tanzania 12 16.22UK 1 1.35Uganda 3 4.05Total 74 100
OA_3 Migration intended to be 1. Yes 5 6.76permanent 2. No 69 93.24
Total 74 100.00
OA_4 1. Family reunification 1 1.352. Family formation 0 0.00(marriage)3. Security/Political 41 55.414. Employment opportunities 9 12.165. Education 6 8.116. Enviromental disaster 0 0.007. Moving with family 1 1.358. Health 3 4.059. Other 13 17.57Missing 0 0.00Total 74 100.00
OA_5a Most important person(s) the 1. Alone 21 28.38migrant migrated with 2. Spouse 12 16.22
3. Child(ren) 11 14.864. Sibling(s) 5 6.765. Parent(s) 12 16.226. Other Family 4 5.417. Friends 4 5.418. Broker/Guide/Smuggler 0 0.009. Other 5 6.76Missing 0 0.00Total 74 100.00
OA_5b Second most important 1. Alone 0 0.00person(s) the migrant migrated 2. Spouse 0 0.00with 3. Child(ren) 10 13.51
4. Sibling(s) 5 6.765. Parent(s) 3 4.05
Reason for leaving Burundi
6. Other Family 5 6.767. Friends 4 5.418. Broker/Guide/Smuggler 0 0.009. Other 0 0.00N. A. 47 63.51Missing 0 0.00Total 74 100.00
OA_5c Third most important 1. Alone 0 0.00person(s) the migrant migrated 2. Spouse 0 0.00with 3. Child(ren) 1 1.35
4. Sibling(s) 0 0.005. Parent(s) 1 1.356. Other Family 4 5.417. Friends 5 6.768. Broker/Guide/Smuggler 0 0.009. Other 0 0.00N. A. 63 85.14Missing 0 0.00Total 74 100.00
OA_6 Months stayed in the country n = 72 R = 2-300 M = 41.36 SD = 56.45of migration
OA_7 Year of return to the household n = 72 R = 1959-2011
OA_8 Reason for return to the 1. I missed my country and 3 4.05household wanted to return home
2. I wanted to be closer to my 12 16.22family and friends3. I wanted to be in my 4 5.41cultural enviroment4. Employment opportunities 4 5.415. There is now peace and 7 9.46safety6. The political situation 18 24.32changed7. To assist in the 4 5.41reconstruction efforts8. To participate in the 0 0.00development of my country9. My documents expired 1 1.3510. My asylum application 0 0.00failed11. I was unable to reach my 0 0.00intended destination12. I was repatriated/deported 0 0.0013. I did not like the country 4 5.41of migration14. My work contract ended 3 4.0515. Other 14 18.92Missing 0 0.00Total 74 100.00
O. B MIGRATION DECISIONS
SignMigr Episode number of most 1 64 94.12Episode significant migration episode 2 4 5.88
Total 68 100.00
OB_1a Most important person(s) 1. Friends 2 2.94involved in decision to migrate 2. Father 8 11.76
3. Mother 3 4.414. Partner/spouse 13 19.125. Brothers 2 2.946. Sisters 0 0.007. Employer in the country of 1 1.47migration8. Employer in the origin 4 5.88country9. Community members 2 2.9410. No one other than the 28 41.18migrant 11. Other 5 7.35Total 68 100.00
OB_1b Second most important 1. Friends 2 2.94person(s) involved in decision 2. Father 3 4.41to migrate 3. Mother 7 10.29
4. Partner/spouse 0 0.005. Brothers 0 0.006. Sisters 0 0.007. Employer in the country of 0 0.00migration8. Employer in the origin 1 1.47country9. Community members 1 1.4710. No one other than the 6 8.82migrant 11. Other 1 1.47N.A. 47 69.12Total 68 100.00
OB_1c Third most important person(s) 1. Friends 1 1.47involved in decision to migrate 2. Father 1 1.47
3. Mother 0 0.004. Partner/spouse 0 0.005. Brothers 2 2.946. Sisters 1 1.477. Employer in the country of 0 0.00migration8. Employer in the origin 0 0.00country9. Community members 0 0.0010. No one other than the 1 1.47migrant 11. Other 0 0.00N.A. 60 88.24Total 68 100.00
OB_2a Most important way of 1. Savings 13 19.12financing migration 2. Formal loans (banks) 1 1.47
3. Informal loans from 4 5.88Family/friends4. Other informal loans 5 7.355. Gift from family/friends 7 10.296. Employer paid 4 5.887. Scholarship 2 2.948. Came with family as a 2 2.94dependent9. Sold assets 3 4.4110. Other 7 10.29N.A. 20 29.41Total 68 100.00
OB_2b Second most important way of 1. Savings 2 2.94financing migration 2. Formal loans (banks) 0 0.00
3. Informal loans from 0 0.00Family/friends4. Other informal loans 0 0.005. Gift from family/friends 1 1.476. Employer paid 1 1.477. Scholarship 0 0.008. Came with family as a 1 1.47dependent9. Sold assets 0 0.0010. Other 0 0.00N.A. 63 92.65Total 68 100.00
OB_3 Did the return migrant migrate 1. Yes 32 47.06with family 2. No 36 52.94
Total 68 100.00
OB_4a Most important reason why the 1. Easier to access/gain entry 23 33.82return migrant migrated to that 2. Better employment 2 2.94country 3. Better working conditions 1 1.47
4. Better payment 1 1.475. Received job offer 3 4.416. Living conditions were 11 16.18better7. Family/friends already 16 23.53there8. Study 3 4.419. Other 8 11.76Total 68 100.00
OB_4b Second most important reason 1. Easier to access/gain entry 2 2.94why the return migrant 2. Better employment 0 0.00migrated to that country 3. Better working conditions 0 0.00
4. Better payment 2 2.945. Received job offer 0 0.006. Living conditions were 7 10.29better7. Family/friends already 1 1.47there
8. Study 0 0.009. Other 1 1.47N.A. 55 80.88Total 68 100.00
OB_4c Third most important reason 1. Easier to access/gain entry 0 0.00why the return migrant 2. Better employment 0 0.00migrated to that country 3. Better working conditions 0 0.00
4. Better payment 0 0.005. Received job offer 1 1.476. Living conditions were 2 2.94better7. Family/friends already 0 0.00there8. Study 0 0.009. Other 2 2.94N.A. 63 92.65Total 68 100.00
OB_5 Documentation acquired before 1. Tourist visa 8 11.76departure 2. Work visa 7 10.29
3. Student/study visa 3 4.414. Refugee status (UNHCR) 0 0.005. Other 9 13.246. No documents 41 60.29Total 68 100.00
OB_6 Information on the country of 1. Yes 30 44.12migration prior to migration 2. No 38 55.88
Total 68 100.00
OB_7a Most important information 1. Family/friends in Burundi 5 16.67source 2. Family/friends in country 17 56.67
of migration 3. Broker/ Smuggler 2 6.674. Government 3 10.005. Employer 1 3.336. Media 0 0.007. Other 2 6.67Total 30 100.00
OB_7b Second most important 1. Family/friends in Burundi 2 6.67information source 2. Family/friends in country 1 3.33
of migration 3. Broker/ Smuggler 1 3.334. Government 0 0.005. Employer 0 0.006. Media 0 0.007. Other 1 3.33N. A. 25 83.33Total 30 100.00
OB_7c Third most important 1. Family/friends in Burundi 0 0.00information source 2. Family/friends in country 1 3.33
of migration 3. Broker/ Smuggler 0 0.00
4. Government 0 0.005. Employer 0 0.006. Media 0 0.007. Other 0 0.00N. A. 29 96.67Total 30 100.00
OB_8 Orientation or training prior to 1. Yes 15 22.06migration 2. No 53 77.94
Total 68 100.00
O.C PRE-DEPARTURE OF FIRST MIGRATION EPISODE
OC_1 City or village the person lived See datain prior to departure
OC_2 Living in this household prior 1. Yes 16 23.53to departure 2. No 52 76.47
Total 68 100.00
OC_3 Living with whom prior to 1. On my own 3 5.77departure 2. With parents 26 50.00
3. With siblings 0 0.004. With a spouce 17 32.695. With other family (blood 4 7.69related)6. With friends 0 0.007. In shared accomodation 1 1.92with people I had no relation with8. Other 1 1.92Total 52 100.00
OC_4 Highest education attainment 1. No formal education 16 23.53prior to departure 2. Incomplete primary 23 33.82
3. Primary 10 14.714. Incomplete secondary 12 17.655. Complete secondary 5 7.356. Special secondary/ 0 0.00preliminary professional/technical7. Incomplete graduate 1 1.478. Graduate or higher 0 0.00Other 1 1.47Total 68 100.00
OC_5a First citizenship prior to 1. Afghanistan 0 0.00departure 2. Burundi 62 91.18
3. Ethiopia 0 0.004. Morocco 0 0.005. Pakistan 0 0.006. Iran 0 0.007. Rwanda 1 1.478. Congolese 5 7.359. Other 0 0.00Total 68 100.00
OC_5b Second citizenship prior to 1. Afghanistan 0 0.00departure 2. Burundi 8 11.76
3. Ethiopia 0 0.004. Morocco 0 0.005. Pakistan 0 0.006. Iran 0 0.007. Rwanda 2 2.948. Congolese 0 0.009. Other 1 1.47N. A. 57 83.82Total 68 100.00
OC_6 8 11.76
2. In education 18 26.473. In education AND paid work 0 0.00
2 2.94
2 2.94
6. Permanently sick/disabled 0 0.007. Retired 0 0.00
0 0.00
9. Doing housework 14 20.5910. Subsistence farmer 9 13.2411. Other 15 22.06Total 68 100.00
OC_7 1. Individual house 49 72.062. Apartmnent/flat 12 17.653. Part of house/room within a 6 8.824. Dormitory 0 0.005. Non-residential areas used as 0 0.006. Other 1 1.47Total 68 100.00
OC_8 1. Concrete/cement 48 70.592. Tiles, brick, granite 0 0.003. Vinyl 0 0.004. Dirt, sand, dung 20 29.415. Cane 0 0.006. Other 0 0.00Total 68 100.00
OC_9 Type of fuel used for cooking 1. Electricity 5 7.35in household prior to migration 2. Gas 0 0.00
3. Kerosene 1 1.474. Charcoal 48 70.595. Wood 14 20.596. Straw/shrubs/grass 0 0.007. Animal dung 0 0.008. Other 0 0.00Total 68 100.00
1. In paid work (or away temporarily)
4. Unemployed and actively looking for a job
8. In community/military service
5. Unemployed, wanting a job but not actively looking for a job
Main activity prior to departure
Description of living place prior to depature
Construction material of most of the floor of the house prior to migration
OC_10 Contact with friends/family 1. Yes 25 36.76living abroad prior to departure 2. No 43 63.24
Total 68 100.00
O.D COUNTRY OF MIGRATION
OD_1 Description of living location 1. Asylum centre 1 1.47in the country of migration 2. Charitable centers/shelters 2 2.94
3. Motel/hotel/hostel 4 5.884. At work site 4 5.885. Refugee camp 13 19.126. Rented room/apartment 10 14.71shared7. With family 31 45.598. Own house 3 4.41Total 68 100.00
OD_2 Employment in the country of 1. Yes 10 14.71migration 2. No 58 85.29
Total 68 100.00
OD_3 Occupation in the country of Agriculture 1 10migration Chief/boss/leader 1 10
Cook 1 10Domestic worker 1 10Driver 2 20Fieldworker 1 10Journalist 1 10Mason 1 10Mechanic 1 10Total 10 100.00
OD_4a Gross income per month on n = 8 R = 50-100000 M = 17350 SD = 33726.07average in the last job in the country of migration- Amount
OD_4b Gross income per month on 1. Rwandian Francs 3 30.00average in the last job in the 2. Congolese Francs 1 10.00country of migration- Currency 3. Tanzanian Shilling 1 10.00
4. Dollar 4 40.005. Other 1 10.00Total 10 100.00
OD_4_ Gross income per month on n = 8 R = 3.15-4500 M = 626.48 SD = 1567.68Dollar average in the last job in the
country of migration- Amountin US Dollar (exchange rate of 30 July 2012)
OD_5 Formal education obtaoned in 1. General education Degree/ 10 14.71the country of migration High School Equivelant
2. College 3 4.413. Bachelors 0 0.004. Masters or Doctoral 0 0.005. No education 55 80.88Total 68 100.00
OD_6a 1. Language training 3 4.412. Integration course 1 1.473. Work related training 3 4.414. No training 60 88.245. Other 1 1.47Total 68 100.00
OD_6b 1. Language training 1 1.472. Integration course 1 1.473. Work related training 0 0.004. No training 0 0.005. Other 2 2.94N.A. 64 94.12Total 68 100.00
OD_6c 1. Language training 0 0.002. Integration course 0 0.003. Work related training 0 0.004. No training 0 0.005. Other 0 0.00N.A. 68 100.00Total 68 100.00
OD_7a 1. Religious organization 1 1.472. Diaspora organization 0 0.003. Humanitarian, charitable 2 2.94organization, NGO4. Sports club, arts, musical 2 2.94organization5. Professional association 1 1.476. Labour Union/ Trade Union 0 0.007. Political party 1 1.478. Other 0 0.009. No organization 61 89.71Total 68 100.00
OD_7b 1. Religious organization 0 0.002. Diaspora organization 0 0.003. Humanitarian, charitable 0 0.00organization, NGO4. Sports club, arts, musical 0 0.00organization5. Professional association 0 0.006. Labour Union/ Trade Union 1 1.477. Political party 0 0.008. Other 0 0.009. No organization 0 0.00N.A. 67 100.00Total 68 100.00
OD_7c 1. Religious organization 0 0.002. Diaspora organization 0 0.003. Humanitarian, charitable 0 0.00organization, NGO4. Sports club, arts, musical 0 0.00
Organization membership in the country of migration - 3
Organization membership in the country of migration - 2
Additional skills/training obtained in the country of migration - 1
Additional skills/training obtained in the country of migration - 2
Additional skills/training obtained in the country of migration - 3
Organization membership in the country of migration - 1
organization5. Professional association 0 0.006. Labour Union/ Trade Union 0 0.007. Political party 0 0.008. Other 0 0.009. No organization 0 0.00N.A. 68 100.00Total 68 100.00
OD_8 1. Yes 4 57.142. No 3 42.86Total 7 100.00
OD_9 1. Not at all 51 75.002. A little bit 8 11.763. A lot 9 13.24Total 68 100.00
OD_10_1 Investment made by return 1. Yes 4 5.88migrant while abroad - 1- Land 2. No 64 94.12in the origin country Total 68 100.00
OD_11_1 The return migrant still has 1. Yes 3 75.00this investment - 1 - Land in 2. No 1 25.00the origin country Total 4 100.00
OD_10_2 Investment made by return 1. Yes 5 7.35migrant while abroad - 2 - 2. No 62 91.18House in the origin country Missing 1 1.47
Total 68 100.00
OD_11_2 The return migrant still has 1. Yes 1 20.00this investment - 2 - House in 2. No 4 80.00the origin country Total 5 100.00
OD_10_3 Investment made by return 1. Yes 3 4.41migrant while abroad - 3 - 2. No 64 94.12Business in the origin country Missing 1 1.47
Total 68 100.00
OD_11_3 The return migrant still has 1. Yes 0 0.00this investment - 3 - Business 2. No 3 100.00in the origin country Total 3 100.00
OD_10_4 Investment made by return 1. Yes 0 0migrant while abroad - 4 - 2. No 67 98.53Land in the country of Missing 1 1.47migration Total 68 100.00
OD_11_4 The return migrant still has no observationsthis investment - 4 - Land in Country of Migration
OD_10_5 Investment made by return 1. Yes 2 2.94migrant while abroad - 5 - 2. No 65 95.59House in the country of Missing 1 1.47
Would any of these organizations help in case you needed help
Feelings of being part of the society while living in the country of migration
migration Total 68 100.00
OD_11_5 The return migrant still has 1. Yes 1 50.00this investment - 5 - House in 2. No 1 50.00the country of migration Total 2 100.00
OD_10_6 Investment made by return 1. Yes 3 4.41migrant while abroad - 6 - 2. No 64 94.12Business in the country of Missing 1 1.47migration Total 68 100.00
OD_11_6 The return migrant still has 1. Yes 0 0.00this investment - 6 - Business 2. No 3 100.00in the country of migration Total 3 100.00
OD_10_7 Investment made by return 1. Yes 3 4.41migrant while abroad - 7 - 2. No 64 94.12Other Missing 1 1.47
Total 68 100.00
OD_11_7 The return migrant still has 1. Yes 0 0.00this investment - 7 - Other 2. No 3 100.00
Total 3 100.00
OD_12 Sending money home while 1. Yes 7 10.29being in country of migration 2. No 61 89.71
Total 68 100.00
OD_13 Frequency of seding money 1. Several times per month 0 0.00while being in country of 2. Once per month 2 28.57migration 3. Once every 2 months 1 14.29
4. Once every 3 months 0 0.005. Once every 6 months 0 0.006. Once in a year 0 0.007. Irregularly sent money 3 42.86Doesn't want to say 1 14.29Total 13 100.00
OD_14a Average amount of money sent n = 6 R = 50 - 100000 M = 24341.67 SD = 40175.62at one time - Amount
OD_14b Average amount of money sent 1. Burundian Francs 2 15.38at one time - Currency 2. Congolese Francs 1 7.69
3. Tanzanian Shillings 7 53.854. Euro 1 7.695. Other 2 15.38Total 13 100.00
OD_14_ Average amount of money sent n = 5 R = 8.26-500 M = 157.93 SD = 199.72Dollar at one time - Amount in US Dollar(exchange rate of 30 July 2012)
OD_15 Money was sent for a specific 1. Yes 4 57.14purpose 2. No 3 42.86
Total 7 100.00
OD_16 Primary reason for sending 1. Daily needs (foods/ drinks) 4 100.00
money while being in the 2. Education 0 0.00country of migration 3. Investment/ Business 0 0.00
4. Savings 0 0.005. Agriculture 0 0.006. Leisure 0 0.007. Debit payments 0 0.008. Healthcare 0 0.009. Housing/ Land 0 0.0010. Durable goods (e.g. TV) 0 0.0011. Other 0 0.00Total 4 100.00
OD_17 Primary spending of the money 1. Daily needs (foods/ drinks) 6 85.71by the receivers 2. Education 1 14.29
3. Investment/ Business 0 0.004. Savings 0 0.005. Agriculture 0 0.006. Leisure 0 0.007. Debit payments 0 0.008. Healthcare 0 0.009. Housing/ Land 0 0.0010. Durable goods (e.g. TV) 0 0.0011. Other 0 0.00Total 7 100.00
OD_18 Satisfaction with how the 1. Completely unsatisfied 1 14.29money was spent 2. Unsatisfied 0 0.00
3. Neutral 0 0.004. Satisfied 4 57.145. Completely satisfied 2 28.57Total 7 100.00
OD_19 Sending money to non- 1. Yes 1 1.47household members while in 2. No 67 98.53the country of migration Total 68 100.00
OD_20 Description of person/ 1. Direct family member 0 0.00organization that the money 2. Indirect family member 0 0.00was sent to 3. Friend 1 100.00
4. Acquaintance 0 0.005. Religious organization 0 0.006. Charity organization 0 0.007. Other 0 0.00Total 1 100.00
OD_21 Frequency of sending money 1. Several times per month 0 0.002. Once per month 0 0.003. Once every 2 months 0 0.004. Once every 3 months 0 0.005. Once every 6 months 0 0.006. Once in a year 0 0.007. Irregularly sent money 1 100.00Total 1 100.00
OD_22a Average amount of money n = 1 R = 500-500 M = 500 SD = 0sent on one time - Amount
OD_22b Average amount of money no observationssent on one time - Currency
OD_22_ Average amount of money no observationsDollar sent on one time - Amount in
US Dollar
OD_22_ Average amount of money no observationsDollar sent on one time - Amount in
US Dollar
OD_23 Money was sent for a specific 1. Yes 0 0.00purpose 2. No 1 100.00
Total 1 100.00
OD_24 Primary reason for sending no observationsmoney while being in countryof migration
OD_25 Primary spending of the no observationsmoney by the receivers
OD_26 Satisfaction with how the 1. Completely unsatisfied 0 0.00money was spent 2. Unsatisfied 1 100.00
3. Neutral 0 0.004. Satisfied 0 0.005. Completely satisfied 0 0.00Total 1 100.00
OD_27 Bringing money back upon 1. Yes 21 30.88return 2. No 46 67.65
Don't know 1 1.47Total 68 100.00
OD_28a Amount of money brought n = 76 R = 100 - 4000000 M = 176438.4 SD = 544003.5back upon return - Amount
OD_28b Amount of money brought 1. Rwandan francs 16 19.75back upon return - Currency 2. Congolese Francs 4 4.94
3. Tanzanian Shillings 47 58.024. Dollar 2 2.475. Euro 1 1.236. Other 11 13.58Total 81 100.00
OD_28_ Amount of money brought n = 15 R = 27.19-100000 M = 8064.37 SD = 25753.98Dollar back upon return - Amount
in US Dollar (exchange rate of 30 July 2012)
OD_29a Most important thing the 1. Daily needs (foods/ drinks) 15 71.43money was used for 2. Education 0 0.00
3. Investment/ Business 0 0.004. Savings 0 0.005. Agriculture 1 4.766. Leisure 0 0.00
7. Debit payments 0 0.008. Healthcare 0 0.009. Housing/ Land 2 9.5210. Durable goods (e.g. TV) 0 0.0011. Other 2 9.52Don't know 1 4.76Total 21 100.00
OD_29b Second most important thing 1. Daily needs (foods/ drinks) 3 14.29the money was used for 2. Education 4 19.05
3. Investment/ Business 0 0.004. Savings 0 0.005. Agriculture 0 0.006. Leisure 2 9.527. Debit payments 0 0.008. Healthcare 2 9.529. Housing/ Land 0 0.0010. Durable goods (e.g. TV) 0 0.0011. Other 1 4.76N. A. 9 42.86Total 21 100.00
OD_30 Frequency of contact with 1. No contact at all 44 64.71friends and family in Burundi 2. Every few years 0 0.00
3. Once a year 3 4.414. twice a year 3 4.415. Every three months 3 4.416. Every month 7 10.297. Every week 6 8.828. Every day 2 2.94Total 68 100.00
OD_31 Way of contact with friends 1. Telephone 15 62.5and family in Burundi 2. Internet chat or Skype/MSN 0 0.00
3. E-mails 0 0.004. Letters 4 16.675. Visits to origin country 3 12.56. Family visits to country of 2 8.33migrationTotal 24 100.00
OD_32 Person most in contact with in 1. Spouse 8 33.33Burundi 2. Parents 7 29.17
3. Siblings 3 12.54. Wider family 3 12.55. Community leaders 0 0.006. Friends 0 0.007. Children 3 12.58. Colleagues 0 0.009. Other 0 0.00Total 24 100.00
OD_33a_ Three main topics of Current life/situation 2 8.33English conversation - Topic 1 Daily life 2 8.33
Doesn't want to say 1 4.17Global situation 1 4.17
Greetings 1 4.17Health 13 54.17Private matters 1 4.17Return migration 1 4.17Security situation 1 4.17Situation in the country 1 4.17Total 24 100.00
OD_33b_ Three main topics of Daily life 4 16.67English conversation - Topic 2 Doesn't want to say 1 4.17
Economics 2 8.33Family situation 1 4.17Health 1 4.17Health of the children 1 4.17My adaptation 1 4.17N.A. 4 16.67Politics 2 8.33Schooling/studies 2 8.33Security situation 4 16.67The children 1 4.17Total 24 100.00
OD_33c_ Three main topics of Daily life 3 12.5English conversation - Topic 3 Doesn't want to say 1 4.17
Economics 2 8.33Education 1 4.17Family life 2 8.33Family matters 1 4.17Health 2 8.33N.A. 7 29.17Peace 1 4.17Private matters 1 4.17Security situation 2 8.33The children 1 4.17Total 24 100
OD_34 Frequency of temporary visit to 1. Never 19 79.17Burundi while in country of 2. Once every few years 2 8.33migration 3. Every other year 0 0.00
4. Once a year 0 0.005. Twice a year 1 4.176. A few times every year 2 8.33Total 24 100.00
OD_35 Length of stay of last 1. Less than a week 2 40.00temporary trip to Burundi 2. 1 to 2 weeks 3 60.00
3. 3 to 4 weeks 0 0.004. 1 to 2 months 0 0.005. More than 2 months 0 0.00Total 5 100.00
OD_36 Primary reason for this 1. Visit family/ friends/temporary return vacation 3 60.00
2. Significant event (death/ wedding) 0 0.003. Cultural event 0 0.00
4. Business purposes 0 0.005. Preparing for permanentreturn 0 0.006. Other 2 40.00Total 5 100.00
O.E RETURN EXPERIENCE
OE_1 n = 66 R = 1959-2011 M= 1999.18 SD= 7.98
OE_2a 1. Friends 3 4.412. Father 3 4.413. Mother 2 2.944. Partner/spouce 13 19.125. Brothers 2 2.946. Sisters 0 0.007. Employer in the country of 1 1.47migration8. Employer in Burundi 2 2.949. Community members 2 2.9410. Government/authorities in 0 0.00the country of migration11. Government/authorities in 4 5.88the country of origin12. No other than the migrant 35 51.4713. Other 1 1.47Total 68 100.00
OE_2b Second most important people 1. Friends 1 1.47involved in decision to return 2. Father 0 0.00
3. Mother 3 4.414. Partner/spouce 0 0.005. Brothers 0 0.006. Sisters 1 1.477. Employer in the country of 0 0.00migration8. Employer in Burundi 0 0.009. Community members 0 0.0010. Government/authorities in 4 0.00the country of migration11. Government/authorities in 0 0.00the country of origin12. No other than the migrant 6 8.8213. Other 1 1.47Total 68 100.00
OD_3a Most important people/ 1. Friends 7 10.29organizationthat gave support 2. Father 4 5.88for return 3. Mother 0 0.00
4. Partner/spouce 9 13.245. Brothers 0 0.006. Sisters 1 1.477. Employer in the country of 2 2.94migration8. International Organization 0 0.00
Most important people involved in decision to return
Year of return to Burundi for the last time
for Migration (IOM)9. UNHCR 8 11.7610. UNDP 0 0.0011. Government of country of 0 0.00migration12. Government of country of 4 5.88Origin13. Community members 1 1.4714. No one other than myself 26 38.2415. Other 6 8.82Total 68 100.00
OD_3b 1. Friends 1 1.472. Father 2 2.943. Mother 1 1.474. Partner/spouce 3 4.415. Brothers 0 0.006. Sisters 0 0.007. Employer in the country of 0 0.00migration8. International Organization 0 0.00for Migration (IOM)9. UNHCR 4 5.8810. UNDP 0 0.0011. Government of country of 0 0.00migration12. Government of country of 0 0.00Origin13. Community members 0 0.0014. No one other than myself 11 6.1815. Other 0 0.00N.A. 0 0.00Total 68 100.00
OD_3c 1. Friends 0 0.002. Father 0 0.003. Mother 2 2.944. Partner/spouce 2 2.945. Brothers 1 1.476. Sisters 0 0.00
0 0.00
0 0.00
9. UNHCR 1 1.4710. UNDP 0 0.0011. Government of country of 0 0.00migration12. Government of country of 0 0.00Origin13. Community members 0 0.0014. No one other than myself 3 4.4115. Other 0 0.00N.A. 59 86.76Total 68 100.00
7. Employer in the country of migration8. International Organization for Migration (IOM)
Second most important people/organization that gave support for return
Third most important people/organization that gave support for return
OE_4 1. Yes 38 13.772. No 238 86.23Total 276 100.00
OE_5 n = 14 R = 0-96 M = 10.14 SD = 25.10
OE_6 First job upon return Barber 1 7.14Bellboy 1 7.14Business person 1 7.14Cook 1 7.14Demographics 1 7.14Director 1 7.14Driver 2 14.29Fashion designer 1 7.14Journalist 1 7.14Mechanic 1 7.14Missing 1 7.14Operator 1 7.14Work inspector 1 7.14Total 14 100.00
OE_7 1. Yes 19 27.942. No 49 72.06Total 68 100.00
OE_8 Sector of business 1. Agriculture/fishing 4 21.052. Minerals/industry/energy 0 0.003. Building/construction 1 5.26industry4. Trade and business 13 68.425. Hotel and tourism industry 0 0.006. Service industry (shop/ 0 0.00restaurant)7. Transportation, storage and 0 0.00communication8. Financial institutions 0 0.009. Producer services/ 0 0.00business to business10. Information and 1 5.26Technology sector11. Public administration/ 0 0.00education12. Health care and public welfare 0 0.0013. Other services 0 0.00Total 19 100.00
OE_9 Year start of business n = 19 R = 1986-2011 M=2000 SD= 8.12
OE_10 Number of people employed in n = 19 R = 0-10 M = 1.73 SD = 2.35the business other than the person him/herself
OE_11 1. Profitable 0 0.002. Managing 11 57.89
Current ownership of a business
Time it took to find employment upon return (months)
Paid employment since return
Description current state of business
3. Struggling 4 21.05Rentable 4 21.05Total 19 100.00
O.G PERCEPTION QUESTIONS
OG_1 1. Not a part of the community 4 5.882. Somewhat a part of the 6 8.82community3. Very much a part of the 58 85.29communityDoesn't want to say 0 0.00Total 68 100.00
OG_2 1. Household status has 10 14.71decreased2. Household status has not 47 69.12changed3. Household status has 10 14.71improvedDon't know 1 1.47Doesn't want to say 0 0.00Total 68 100.00
OG_3 1. Became much worse 5 7.352. Became worse 18 26.473. Stayed the same 18 26.474. Improved 12 17.655. Very much improved 15 22.06Don't know 0 0.00Doesn't want to say 0 0.00Total 68 100.00
OG_4 1. Became much worse 4 5.882. Became worse 20 29.413. Stayed the same 20 29.414. Improved 12 17.655. Very much improved 11 16.18Don't know 0 0.00Doesn't want to say 1 1.47Total 68 100.00
OG_5__1 1. Strongly disagree 28 41.182. Disagree 12 17.653. Neutral 3 4.414. Agree 9 13.245. Strongly agree 16 23.53Don't know 0 0.00Doesn't want to say 0 0.00Total 68 100.00
OG_5__2 1. Strongly disagree 41 60.292. Disagree 10 14.713. Neutral 4 5.884. Agree 10 14.715. Strongly agree 3 4.41
Feelings of being part of a community in Burundi now after return
Change in household living conditions compared to prior to migration
Change in own living conditions compared to prior to migration
Change of position in household compared to prior to migration
Overall I feel that my migration has improved my professional skills
business
Overall I feel that my migration has improved my social skills in Burundi
Don't know 0 0.00Total 68 100.00
OG_5__3 1. Strongly disagree 31 45.592. Disagree 12 17.653. Neutral 1 1.474. Agree 14 20.595. Strongly agree 10 14.71Don't know 0 0.00Doesn't want to say 0 0.00Total 68 100.00
OG_5__4 1. Strongly disagree 20 29.412. Disagree 10 14.713. Neutral 2 2.944. Agree 16 23.535. Strongly agree 19 27.94Don't know 0 0.00Total 68 100.00
OG_5__5 1. Strongly disagree 32 47.062. Disagree 9 13.243. Neutral 2 2.944. Agree 9 13.245. Strongly agree 16 23.53Don't know 0 0.00Total 68 100.00
OG_5__6 1. Strongly disagree 27 39.712. Disagree 6 8.823. Neutral 4 5.884. Agree 11 16.185. Strongly agree 20 29.41Total 68 100.00
OG_5__7 1. Strongly disagree 29 42.652. Disagree 7 10.293. Neutral 2 2.944. Agree 14 20.595. Strongly agree 16 23.53Don't know 0 0.00Total 68 100.00
OG_5__8 1. Strongly disagree 40 58.822. Disagree 2 2.943. Neutral 4 5.884. Agree 7 10.295. Strongly agree 15 22.06Don't know 0 0.00Total 68 100.00
OG_5__9 1. Strongly disagree 56 82.352. Disagree 7 10.293. Neutral 2 2.944. Agree 2 2.945. Strongly agree 1 1.47
Overall I feel that my migration as been a mistake
Overall I feel that my migration has violated my human right
Overall I feel that my migration has placed me in distress
Overall I feel that my migration has alienated me from the community
Overall I feel that my migration has benefited my family
Overall I feel that my migration has improved my mental health
Overall I feel that my migration has increased my ability to contribute to my community
Don't know 0 0.00Doesn't want to say 0 0.00Total 68 100.00
OG_5__10 1. Strongly disagree 37 54.412. Disagree 8 11.763. Neutral 7 10.294. Agree 9 13.245. Strongly agree 7 10.29Don't know 0 0.00Doesn't want to say 0 0.00Total 68 100.00
OG_5__11 1. Strongly disagree 57 83.822. Disagree 4 5.883. Neutral 4 5.884. Agree 1 1.475. Strongly agree 2 2.94Don't know 0 0.00Doesn't want to say 0 0.00Total 68 100.00
P. HEIGHT AND WEIGHT OF WOMEN AND CHILDREN
P_1 1. Yes 576 76.192. No 180 23.81Total 756 100.00
P_2 1. The mother and/or child 77 42.78were not present at the household 30 16.672. The child was sleeping and 9 5.56the mother did not want to wake the child3. The mother and/or the child 67 37.22refused4. Other 6 3.33Total 180 100.00
P_3 Height n = 576 R = 13-180 M = 116.20 SD = 42.31
P_4 Weight n = 576 R = 3- 99.9 M = 35.49 SD = 26.92
Height/weight measurements at the household
Reason why the height/weight measurements were not done
Overall I feel that my migration has given me less respect within my household
Overall I feel that my migration has given me more decision making within my household
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