UGA_2021_RIMA_v01_EN_M_v01_A_OCS
DDI_UGA_2021_RIMA_v01_EN_M_v01_A_OCS_FAO
Ellestina Jumbe
Office of Chief Statistician
Nesstar Publisher
UGA_2021_RIMA_v01_EN_M_v01_A_OCS_v01
Resilience Index Measurement and Analysis 2021
RIMA 2021
UGA_2021_RIMA_v01_EN_M_v01_A_OCS
Food and Agricultural Organization of the United Nations
Uganda Bureau of Statistics
Office of the Prime Minister of Uganda
Nesstar Publisher
Food and Agriculture Organization of the United Nations
FAO RIMA Team
Other Household Survey [hh/oth]
This is the fourth wave of refugee and host community data collection under the RIMA methodology conducted in Uganda.
In order to make the progressive Uganda refugees policy successful in the medium- and long-term, the refugees’ response needs to facilitate their inclusion in the country’s development agenda. No longer focusing exclusively on short-term, life-saving interventions, the response should act as a vector for refugees’ integration in the economy; improving the management of land, water, and natural resources; exploiting the socio-economic opportunities associated with the refugees’ presence, skills, and development; and strengthening the hosting districts’ capacity to absorb and manage these resources. The positive impact would affect refugees, host communities, and hosting districts alike, thus moving towards social and economic integration. In August 2017, FAO was asked by the Commissioner for Refugees (Office of the Prime Minister of Uganda, OPM) to support the implementation of a socio-economic analysis within the refugees’ settlements and host communities, with the aim of providing a comprehensive assessment of the current state of the refugees’ food security, well-being and resilience. Although refugees in Uganda are given land and mobility rights, their food security remains low, with a high dependency on food aid. The assumption was that by better understanding refugees’ preferences and livelihoods strategies which determine their resilience, it would be possible to unlock the development potential of the land, increase productivity and help them achieve independence and self-reliance. The Uganda 2021 Resilience Index Measurement and Analysis (RIMA) measures the food security and resilience of refugees and host communities in 11 Ugandan districts. The survey was administered between December 2021 and January 2022.
Uganda
Regional coverage
Households
Refugees and host community households (Households living near settlements)
Sample survey data [ssd]
Computer Assisted Personal Interview [capi]
No weights
The data were collected through computer-assisted personal interviewing (CAPI) with digital tablets. The use of electronic devices reduces the duration of interviews, limits errors during the interview and data entry phases, and enables the collection of geographic information system (GIS) information at the household level. The data were transmitted daily through Kobo Toolbox, a suite of software tools for data collection in challenging environments, allowing for the use of remote data control protocols.
The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO
FAO. Resilience Index Measurement and Analysis (RIMA), Uganda, 2021. Dataset downloaded from https://microdata.fao.org.
anon_module_a.NSDstat
5636
17
Nesstar 200801
anon_module_b1.NSDstat
36439
36
Nesstar 200801
anon_module_b2.NSDstat
5636
9
Nesstar 200801
anon_module_c.NSDstat
5636
42
Nesstar 200801
anon_module_da.NSDstat
5636
25
Nesstar 200801
anon_module_db.NSDstat
5636
46
Nesstar 200801
anon_module_e.NSDstat
5636
216
Nesstar 200801
anon_module_fa.NSDstat
12907
33
Nesstar 200801
anon_module_fb.NSDstat
3680
13
Nesstar 200801
anon_module_g1.NSDstat
5636
201
Nesstar 200801
anon_module_g2.NSDstat
5636
20
Nesstar 200801
anon_module_h2.NSDstat
5636
31
Nesstar 200801
anon_module_ha.NSDstat
5636
539
Nesstar 200801
anon_module_hb.NSDstat
5636
95
Nesstar 200801
anon_module_j.NSDstat
5636
35
Nesstar 200801
anon_module_k.NSDstat
5636
10
Nesstar 200801
anon_module_k2.NSDstat
5636
16
Nesstar 200801
anon_module_n.NSDstat
5636
72
Nesstar 200801
anon_module_s.NSDstat
5636
10
Nesstar 200801
anon_module_w.NSDstat
28688
24
Nesstar 200801
anon_module_x.NSDstat
5636
66
Nesstar 200801
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
Has the original household been found
5636
0
This is a replacement household
1293
Yes
4343
A1. District
5636
0
Adjumani
291
Arua
1146
Isingiro
706
Kamwenge
304
Kikuube
231
Kiryandongo
478
Koboko
198
Kyegegwa
541
Lamwo
635
Moyo
624
Yumbe
482
A3. Is the household living in host community?
5636
0
No
3124
Yes
2512
A3b. Settlement
3113
0
Adjumani_settlement
153
Bidibidi_settlement
283
Imvepi_settlement
188
Kiryandongo_settlement
291
Kyaka II_settlement
288
Kyangwali_settlement
118
Lobule_settlement
156
Nakivale_settlement
329
Omugo_Rhino_ext_settlement
255
Palabeck_settlement
348
Palorinya_settlement
323
Rhinocamp_settlement
221
Rwamwanja_settlement
160
A6. Sample Type
5636
0
Refugee
3140
Uganda national
2496
5636
0
Female
3597
Male
2039
A12. What is the MAIN livelihood of the household:
5636
0
Agro-pastoralist
424
Crop Farmer
3967
Fishing
38
Other
886
Pastoralist
20
Riverine
1
Urban/Petty trade/Formal employment
300
Specify other livelihood:
886
A Pastor
1
Agent Promoter
1
Aid
2
Aid and Casual Labourer
1
Aid assistance
1
Aid dependant
1
Aid dependant.
1
Aid dependency
1
Aid from organizations
1
Alchol brewing
1
Alcohol Distiler
1
Alcohol brewing
3
An old womam who gets help from others
1
Assistance
1
Bakery activities and student as well
1
Baking
1
Begging
1
Bishop
1
Boda boda
2
Boda boda cyclist
1
Boda boda rider
2
Boda boda riding business
1
BodaBoda cyclist
1
Bodaboda
4
Bodaboda cyclist
1
Bodaboda ridder
1
Bodaboda rider
1
Both Crop and Animal Farming
1
Boutique seller
1
Brewer seller
1
Brewing
1
Brewing Alcohol
1
Brewing alcohol
1
Brewing and selling alcohol
1
Brewing local alcohol
1
Brewing local alcohol and selling fish
1
Brick making
2
Brickwork
1
Builder
5
Building houses
1
Burning charcoal
1
Business
8
Business lady
1
Businessman
1
Bussiness
1
Butcher
1
By UN support only
1
CARE (U) MOBILISER
1
Can nolonger work because of elderly age and sickness
1
Carpenter
2
Carpentry and joinnery
1
Carpentry contract works
1
Casaul Work
2
Casaul work
1
Cash Assistance
10
Cash assistance
5
Cash assistance from OPM
1
Cash assistance from WFP
6
Casual
1
1
2
Casual Employment
5
Casual Labour
17
Casual Labourer
6
Casual Work
2
Casual digging for nationals
1
Casual employment
18
Casual labor
1
Casual labour
21
Casual labour farming for nationals
1
Casual labour for nationals
1
Casual labourer
45
Casual lebour
1
Casual work
10
Casual work during the planting season
1
Casual worker
3
Causal Work
2
1
Charcoal burning
8
Charcoal burning and selling
1
Children's Aid
1
Civil servant
1
Community leader
1
Construction
5
Craft
1
Crafting
1
Cuts grass and sells as brooms
1
Depend on Aid given to them
1
Dependant on the Aid
1
Dependant on the aid
1
Dependent on food from the Aid
1
Dependent on food ratio
1
Depending Food Ratio given by World Food programme
1
Depending on food aid
1
Depending on food ratio
5
Depending on food ratio alone
1
Depending on food ratio from World Food programme
3
Depending on food ratio given by World Food programme
1
Depending on the UN support
1
1
Depends on Aid given to them
1
Depends on cash assistance
2
Depends on handout
1
Depends on only food Aid given to them
1
Depends on the Aid
1
Designer of clothes
1
Diggi g for people
1
Digging for money
1
Digging for nationals
1
Digging for other people
4
Digging for people
4
Digs For people
1
Digs for other people
11
Digs for people
4
Distilling Local Waraji
1
Doesn't work
3
Doesn't work depends on the cash assistance
1
Doesn't work only depends on UN monthly donations
1
Doesn't work she is sick her chest and pressure
1
Doing casual work for nationals
1
Drug shop
1
Dry cleaner
1
Elderly (has no strength to work)
1
Elderly doesn't work
1
FARMING
49
Facilitator VSLA
1
Farmer
1
Farming and Business
1
Fish monger
1
Food assistance from the neighbour
1
Food from neighbours and friends
1
Food given by AFI
1
Food given by AFI, WFP and UNHCR
1
Food through Aid
1
Foreign Aid
6
Foriegn Aid
1
Formal Assistance
2
Formal Employment....Teacher
1
Formal assistance
1
From UN
1
Frying pan cakes
1
G
1
Garden Worker
1
Governmen of Uganda Support
1
Grass cutting
1
Hair dressing
1
Hand-out dependant
1
Handout dependant
1
Help from neighbors
1
Home brewery
1
Hostel business
1
House wife
2
Informal activities such as chapati selling
1
Just relies on the aid
1
Livestock farming
1
Local alcohol brewer and seller
1
Mainly depends on Aid
1
Mainly food given by AFI
1
Mainly food support from AFI
1
Masonary
1
Mechanic
1
Mechanica
1
Money from UN
5
Money from the UN
2
Money wfp gives us
1
Motorcycle Rider (cyclist)
1
N0ne
1
NGO Support
1
NONE
9
No
2
No access to land
1
No economic activity
1
1
No farming carried out in the village
1
No job
2
1
No land for agriculture it was given to other people
1
No livelihood. Depends on entirely food aid
1
No source
1
No work
1
Non
3
Non access to land for agricultural activities since he has no money to buy land for agricultural purposes
1
None
179
None but mostly relies on the UN support programes
1
None, an elderly and cant dig any longer
1
None, respondent is a student
1
None.
1
Not able to work
1
Nothing
12
Nothing apart from selling ratio
1
Nothing she does
1
1
Nothing, elderly
1
Nursing assistant
1
Old age
1
Old survives with relief supply
1
Palm oil seller
1
Pastor
1
Pension
1
Plants trees
1
Politician chair man of vulnerable people
1
Pot making
2
Poultry Keeping
1
Poultry farmer
1
Poultry farming
1
Poultry rearing
1
Primary teacher
1
Produce buyer
1
Provision from grandchildren
1
Quaring business
1
Querrying
1
Querying stones
1
Refugee Aid
1
Reief aid
1
Relief
9
Relief Aid
20
Relief aid
19
Relief food
2
Relief from Children and grandchildren
1
Relief support by thegovernment and other agencies
1
Remittance
1
Rides a bodaboda
1
1
Saloon
1
Sell in small retail business
1
Sell water
1
1
Selling Dry Grass
1
Selling Firewood
1
Selling bitenge
1
Selling business
1
Selling charcoal
1
Selling dry grass for construction
1
Selling firewood
4
Selling fish
3
Selling grass
1
Selling local brew
2
1
Sewing machine operator
1
She depends on food aid given to her
1
She does nothing
2
She doesn't grow any crops because she has no land
1
She fully depends on the aid given to her by organisations
1
She is in the Refugees welfare Council and doesn't carry out any farming
1
She's doing literally nothing for a living because of agely sicknesses.
1
Sick
1
Small business
1
Small scale Business lady
1
Small shop
1
Social worker
1
Stay home
3
Stone quarrying
5
Stone querrying
1
Stones quarrying
1
Street seller
2
Student
5
Studying
1
Supportfrkm other family memebers
1
Survives on relatives and friends
1
Survives on the aid given to them
1
Tailor
2
Tailoring
5
Teaching
1
The family depends on Aid given to them
1
The food they give us
1
The household depends on the food aid given to them
1
The respondent is Elderly and a person with disability(PWD)
1
Trader
1
Transfers
1
UM AID
1
UN
5
1
1
5
1
UN , ADRA
2
UN AID
8
UN MONEY
1
UN aid
1
UN assitance
1
UN funds
1
UN money
21
UN moneys
1
UN relief support
1
UN suport
1
UN support
3
1
1
1
UN, ADRA
2
UNHCR Support
1
Un Relief support
1
Un employed
1
Un money
2
Un money only
1
Un support
1
Unemployed
4
1
Vegetables
7
Very Sick and was operated
1
Voluteer at TPO
1
WFP
1
Waiting for Money from UN
1
Waiting only Ratio from AFI , no economic activity being done
1
Waits for money from UN
1
Welding
1
World vision support
1
B28 when did they first arrive to Uganda?
149
5487
1991
2020
2016.087
3.725
B29 Can you provide reason why the household was forced to leave their home coun
3135
0
Due to conflict/war
2536
Due to conflict/war Natural hazards/famine
31
Due to conflict/war Natural hazards/famine Persecution/human rights violations
120
Due to conflict/war Natural hazards/famine Persecution/human rights violations Other(specify)
2
Due to conflict/war Other(specify)
3
Due to conflict/war Persecution/human rights violations
372
Due to conflict/war Persecution/human rights violations Natural hazards/famine
30
Due to conflict/war Persecution/human rights violations Other(specify)
5
Natural hazards/famine
1
Natural hazards/famine Due to conflict/war
3
Natural hazards/famine Due to conflict/war Persecution/human rights violations
1
Other(specify)
7
Persecution/human rights violations
14
Persecution/human rights violations Due to conflict/war
9
Persecution/human rights violations Natural hazards/famine Due to conflict/war
1
B29 Can you provide reason why the household was forced to leave their home coun
3135
2501
0
1
0.993
0.0835
0
22
1
3113
Sysmiss
2501
B29 Can you provide reason why the household was forced to leave their home coun
3135
2501
0
1
0.0603
0.238
0
2946
1
189
Sysmiss
2501
B29 Can you provide reason why the household was forced to leave their home coun
3135
2501
0
1
0.177
0.381
0
2581
1
554
Sysmiss
2501
B29 Can you provide reason why the household was forced to leave their home coun
3135
2501
0
1
0.00542
0.0735
0
3118
1
17
Sysmiss
2501
Please specify other:
17
1
Burning of the house
1
Ebora
2
Education
1
Education in South Sudan is not good so we came to get better education in Uganda
1
Family dispute
1
He was already living here in Omugo subcounty even before the South sudan war broke and he married from the settlement
1
Looking for operating schools
1
Needed peace of Mind
1
No school
1
None
1
Poverty
1
She was chased from there
1
Shortage of facilities such as health
1
They were all born in uganda
1
Were all born in uganda
1
36439
0
1
6029
2973.473
1742.227
36439
0
1
36439
18220
10519.178
36439
0
238350099
250704838
242658129.619
3054614.432
36439
0
B2. What is the relation of ${name_from_earlier1} to the household head?
36435
4
1
14
1
Cousin
188
2
Father/mother
322
3
Father/mother-in-law
99
4
Grandchild
2850
5
Grandparent
128
6
Household head
5561
7
Niece/Nephew
1762
8
Other
390
9
Servant
55
10
Sister/Brother
1164
11
Sister/Brother-in-law
360
12
Son/daughter
19760
13
Son/daughter-in-law
422
14
Wife/Husband
3374
Sysmiss
4
35906
0
(10-15]
6019
(15-20]
4357
(20-25]
2497
(25-30]
1890
(30-35]
1701
(35-40]
1361
(40-45]
1136
(45-50]
795
(5-10]
6247
(50-55]
612
(55-60]
483
(60-65]
368
(65-70]
310
(70-75]
182
(75-80]
107
(80-85]
55
(85-90]
25
90+
10
[0-5]
7751
B4. Is ${name_from_earlier1} male or female?
36439
0
1
2
1
Female
18653
2
Male
17786
B5. What is ${name_from_earlier1}'s marital status?
18647
17792
1
Married
66
2
No longer married
17402
3
Not married
1179
Sysmiss
17792
B6. What is the highest grade ${name_from_earlier1} has completed?
33983
2456
1
10
1
Never been to school
7325
2
Pre-primary
2576
3
Primary School Complete
2149
4
Primary School incomplete
17564
5
Secondary school Complete
580
6
Secondary school Incomplete
3273
7
Tertiary School Complete
261
8
Tertiary School incomplete
117
9
University complete
95
10
University incomplete
43
Sysmiss
2456
B8. Can ${name_from_earlier1} read?
33983
2456
1
2
1
No
17423
2
Yes
16560
Sysmiss
2456
B9. Can ${name_from_earlier1} write?
33983
2456
1
2
1
No
17165
2
Yes
16818
Sysmiss
2456
B10. Is ${name_from_earlier1} Chronically ill?
33983
2456
1
2
1
No
32223
2
Yes
1760
Sysmiss
2456
B11. Is ${name_from_earlier1} orphaned?
20990
15449
1
2
1
No
19548
2
Yes
1442
Sysmiss
15449
B12a. What is ${name_from_earlier1} disability status?
33983
2456
1
2
1
Fully able
32090
2
Has some disability ((difficulties: seeing, hearing, walking
1893
Sysmiss
2456
B12b. Which difficulty or difficulties does ${name_from_earlier1} face?
1893
34546
1
136
1
Difficulties hearing
153
2
Difficulties hearing Difficulties remembering or concentrati
4
3
Difficulties hearing Difficulties remembering or concentrati
1
4
Difficulties hearing Difficulties remembering or concentrati
1
5
Difficulties hearing Difficulties remembering or concentrati
3
6
Difficulties hearing Difficulties remembering or concentrati
1
7
Difficulties hearing Difficulties seeing
12
8
Difficulties hearing Difficulties seeing Difficulties rememb
3
9
Difficulties hearing Difficulties seeing Difficulties walkin
3
10
Difficulties hearing Difficulties seeing Difficulties walkin
1
11
Difficulties hearing Difficulties seeing Difficulty with sel
1
12
Difficulties hearing Difficulties walking or climbing steps
10
13
Difficulties hearing Difficulties walking or climbing steps
1
14
Difficulties hearing Difficulties walking or climbing steps
1
15
Difficulties hearing Difficulties walking or climbing steps
5
16
Difficulties hearing Difficulties walking or climbing steps
4
17
Difficulties hearing Difficulties walking or climbing steps
3
18
Difficulties hearing Difficulties walking or climbing steps
1
19
Difficulties hearing Difficulties walking or climbing steps
1
20
Difficulties hearing Difficulty using the customary language
2
21
Difficulties hearing Difficulty with self-care, as washing o
2
22
Difficulties remembering or concentrating
130
23
Difficulties remembering or concentrating Difficulties heari
2
24
Difficulties remembering or concentrating Difficulties heari
1
25
Difficulties remembering or concentrating Difficulties heari
1
26
Difficulties remembering or concentrating Difficulties seein
4
27
Difficulties remembering or concentrating Difficulties walki
6
28
Difficulties remembering or concentrating Difficulties walki
1
29
Difficulties remembering or concentrating Difficulties walki
1
30
Difficulties remembering or concentrating Difficulties walki
1
31
Difficulties remembering or concentrating Difficulties walki
1
32
Difficulties remembering or concentrating Difficulty using t
8
33
Difficulties remembering or concentrating Difficulty using t
1
34
Difficulties remembering or concentrating Difficulty using t
1
35
Difficulties remembering or concentrating Difficulty with se
6
36
Difficulties remembering or concentrating Difficulty with se
1
37
Difficulties remembering or concentrating Difficulty with se
1
38
Difficulties remembering or concentrating Difficulty with se
6
39
Difficulties seeing
390
40
Difficulties seeing Difficulties hearing
22
41
Difficulties seeing Difficulties hearing Difficulties rememb
7
42
Difficulties seeing Difficulties hearing Difficulties rememb
1
43
Difficulties seeing Difficulties hearing Difficulties rememb
1
44
Difficulties seeing Difficulties hearing Difficulties rememb
2
45
Difficulties seeing Difficulties hearing Difficulties walkin
18
46
Difficulties seeing Difficulties hearing Difficulties walkin
7
47
Difficulties seeing Difficulties hearing Difficulties walkin
1
48
Difficulties seeing Difficulties hearing Difficulties walkin
12
49
Difficulties seeing Difficulties hearing Difficulties walkin
10
50
Difficulties seeing Difficulties hearing Difficulties walkin
3
51
Difficulties seeing Difficulties hearing Difficulties walkin
1
52
Difficulties seeing Difficulties hearing Difficulties walkin
1
53
Difficulties seeing Difficulties hearing Difficulty using th
2
54
Difficulties seeing Difficulties hearing Difficulty using th
1
55
Difficulties seeing Difficulties remembering or concentratin
7
56
Difficulties seeing Difficulties remembering or concentratin
2
57
Difficulties seeing Difficulties remembering or concentratin
3
58
Difficulties seeing Difficulties remembering or concentratin
1
59
Difficulties seeing Difficulties walking or climbing steps
59
60
Difficulties seeing Difficulties walking or climbing steps D
2
61
Difficulties seeing Difficulties walking or climbing steps D
1
62
Difficulties seeing Difficulties walking or climbing steps D
6
63
Difficulties seeing Difficulties walking or climbing steps D
1
64
Difficulties seeing Difficulties walking or climbing steps D
4
65
Difficulties seeing Difficulties walking or climbing steps D
1
66
Difficulties seeing Difficulties walking or climbing steps D
1
67
Difficulties seeing Difficulties walking or climbing steps D
1
68
Difficulties seeing Difficulties walking or climbing steps D
2
69
Difficulties seeing Difficulties walking or climbing steps D
10
70
Difficulties seeing Difficulties walking or climbing steps D
3
71
Difficulties seeing Difficulties walking or climbing steps D
2
72
Difficulties seeing Difficulties walking or climbing steps D
3
73
Difficulties seeing Difficulty using the customary language
2
74
Difficulties seeing Difficulty using the customary language
1
75
Difficulties seeing Difficulty with self-care, as washing or
6
76
Difficulties seeing Difficulty with self-care, as washing or
5
77
Difficulties seeing Difficulty with self-care, as washing or
1
78
Difficulties walking or climbing steps
478
79
Difficulties walking or climbing steps Difficulties hearing
4
80
Difficulties walking or climbing steps Difficulties hearing
1
81
Difficulties walking or climbing steps Difficulties hearing
3
82
Difficulties walking or climbing steps Difficulties hearing
1
83
Difficulties walking or climbing steps Difficulties hearing
1
84
Difficulties walking or climbing steps Difficulties remember
16
85
Difficulties walking or climbing steps Difficulties remember
1
86
Difficulties walking or climbing steps Difficulties remember
1
87
Difficulties walking or climbing steps Difficulties remember
1
88
Difficulties walking or climbing steps Difficulties remember
1
89
Difficulties walking or climbing steps Difficulties remember
14
90
Difficulties walking or climbing steps Difficulties remember
1
91
Difficulties walking or climbing steps Difficulties remember
5
92
Difficulties walking or climbing steps Difficulties remember
1
93
Difficulties walking or climbing steps Difficulties seeing
29
94
Difficulties walking or climbing steps Difficulties seeing D
1
95
Difficulties walking or climbing steps Difficulties seeing D
1
96
Difficulties walking or climbing steps Difficulties seeing D
2
97
Difficulties walking or climbing steps Difficulties seeing D
2
98
Difficulties walking or climbing steps Difficulty using the
6
99
Difficulties walking or climbing steps Difficulty using the
3
100
Difficulties walking or climbing steps Difficulty using the
1
101
Difficulties walking or climbing steps Difficulty with self-
68
102
Difficulties walking or climbing steps Difficulty with self-
1
103
Difficulties walking or climbing steps Difficulty with self-
1
104
Difficulties walking or climbing steps Difficulty with self-
2
105
Difficulties walking or climbing steps Difficulty with self-
1
106
Difficulties walking or climbing steps Difficulty with self-
4
107
Difficulties walking or climbing steps Difficulty with self-
1
108
Difficulties walking or climbing steps Difficulty with self-
5
109
Difficulties walking or climbing steps Difficulty with self-
1
110
Difficulty using the customary language for communication (u
54
111
Difficulty using the customary language for communication (u
1
112
Difficulty using the customary language for communication (u
1
113
Difficulty using the customary language for communication (u
2
114
Difficulty using the customary language for communication (u
1
115
Difficulty using the customary language for communication (u
4
116
Difficulty using the customary language for communication (u
1
117
Difficulty using the customary language for communication (u
1
118
Difficulty using the customary language for communication (u
5
119
Difficulty using the customary language for communication (u
1
120
Difficulty with self-care, as washing or dressing
134
121
Difficulty with self-care, as washing or dressing Difficulti
2
122
Difficulty with self-care, as washing or dressing Difficulti
1
123
Difficulty with self-care, as washing or dressing Difficulti
5
124
Difficulty with self-care, as washing or dressing Difficulti
1
125
Difficulty with self-care, as washing or dressing Difficulti
1
126
Difficulty with self-care, as washing or dressing Difficulti
1
127
Difficulty with self-care, as washing or dressing Difficulti
1
128
Difficulty with self-care, as washing or dressing Difficulti
1
129
Difficulty with self-care, as washing or dressing Difficulti
1
130
Difficulty with self-care, as washing or dressing Difficulti
1
131
Difficulty with self-care, as washing or dressing Difficulti
21
132
Difficulty with self-care, as washing or dressing Difficulti
1
133
Difficulty with self-care, as washing or dressing Difficulti
2
134
Difficulty with self-care, as washing or dressing Difficulty
1
135
Difficulty with self-care, as washing or dressing Difficulty
1
136
Difficulty with self-care, as washing or dressing Difficulty
1
Sysmiss
34546
B13. Is ${name_from_earlier1} currently pregnant or was pregnant in the past 12
9359
27080
1
2
1
No
8188
2
Yes
1171
Sysmiss
27080
B14. What is ${name_from_earlier1} MAIN economic activity?
22441
13998
1
14
1
Business
455
2
Casual employment
565
3
Cross border trading
5
4
Farming
10839
5
Fishing
101
6
Formal Employment
243
7
Livestock rearing
61
8
None
9357
9
Other (Specify)
394
10
Pension
11
11
Petty Trade
235
12
Poultry keeping
15
13
Remittance
100
14
Vegetable Gardening
60
Sysmiss
13998
Please Specify this other economic activity:
394
36045
1
213
1
A Pastor
1
2
A stage bloker
1
3
Alcohol Brewing
2
4
Alcohol brewing
4
5
Art and craft
1
6
BODA BODA
2
7
BOdaboda
1
8
BRICK LAYING
1
9
Bakery
1
10
Bakery works
1
11
Barber
1
12
Barkery
2
13
Bicycle repairing
1
14
Boda Boda rider
3
15
Boda boda
12
16
Boda boda rider
7
17
Boda boda transport business
1
18
Boda operator
3
19
Boda rider
2
20
Boda rider ( motor cyclist)
1
21
Bodabda
1
22
Bodaboda
4
23
Bodaboda
2
24
Bodaboda Cyclist
1
25
Bodaboda cyclist
2
26
Bodaboda rider
1
27
Brewing
2
28
Brewing alcohol
3
29
Brewing local alcohol
1
30
Brick Laying
1
31
Brick Making
2
32
Brick laying
7
33
Brick making
2
34
Brick making
1
35
BrickMaking
1
36
Bricks maker
1
37
Builder
15
38
Builder
1
39
Builder,Carpenter
1
40
Building
3
41
1
42
Burning Charcoal
1
43
Burning Charcol
1
44
Business (sells clothes)
1
45
Business woman
1
46
Butcherman
1
47
Butchery
2
48
CARPENTRY
1
49
CBO allowances
1
50
Capenter
2
51
Capentry
2
52
Carpenter
2
53
Carpentry
4
54
Carpentry and joinnery
1
55
Carpentry work
1
56
Carpentry workshop
1
57
Casaul Labourer
1
58
Cash
1
59
Cash Assistance
2
60
Casual Labour
3
61
Casual Labourer
4
62
Casual Labourer
1
63
Casual labour
2
64
Casual labourer
5
65
Casual rebourer
1
66
Chachoal Burning
1
67
Charcoal Burning
1
68
Charcoal burning
6
69
Charcoal burning and selling
1
70
Charcoal dealer
1
71
Charcoal selling
1
72
Cleaner
1
73
Cleaner at Health centre
1
74
Cloth designer
1
75
Constraction(builder)
1
76
Constructing houses
1
77
Construction
3
78
Construction
1
79
Constructor
2
80
Craft
1
81
Craft work
2
82
DRIVER
1
83
Depending on UN support
1
84
Depending on the UN support
1
85
1
86
Depends on UN support
2
87
1
88
Depends on the support from UN
1
89
Digging for nationals
1
90
Digging for other people
7
91
Digging for people
3
92
Digs for other people
4
93
Digs for people
2
94
Digs in exchange for food
2
95
Distills Alcohol
1
96
Domestic work
1
97
Driver
2
98
Driver and mechanic
1
99
Facilitator VSLA
1
100
Food vendor
1
101
Foreign Aid
1
102
Formal Assistance
3
103
Formal assistance
1
104
Game Ranger
1
105
Grass selling for hut roofing
1
106
Grazing animals
1
107
Hair dresser
1
108
Hairdresser
2
109
He is sickly nolonger works only depends on monthly donation
1
110
1
111
House Help
1
112
House chores
1
113
House help
1
114
House wife
1
115
Informal employment
1
116
Making widowers and selling them
1
117
Mansion
1
118
Mechanic
12
119
Mechanica
1
120
Medical Doctor
1
121
Middleman who helps sell goods to the people around
1
122
Mobile money operator
1
123
Mobiliser GBV task office
1
124
Money from UN
1
125
Motorcycle Cyclist
1
126
Motorcycle repairer
1
127
Motorcycle rider
2
128
No economic activity carried out except she works for the Re
1
129
Nolonger works
1
130
None
4
131
Nurse
1
132
Operating a grinding Mill
1
133
Owns a food stall
1
134
1
135
1
136
PUPIL
1
137
Pastor
3
138
Pastor
1
139
Pastoring a Church
1
140
Photography
1
141
Plaiting Hair
1
142
Planting tress
1
143
Pot making
1
144
Querrying
1
145
Query
2
146
Relief Aid
4
147
Relief aid
1
148
Repairing motorcycle
1
149
Repajring motorcycles
1
150
STUDENT
6
151
Sale matooke
1
152
Salon business
1
153
Saloon
1
154
Sand mining
2
155
Second hand clothes dealer
1
156
Self Employed.
1
157
Self employed
1
158
Sell frewood
1
159
Selling Firewood
1
160
Selling dry grass
1
161
Selling firewood
5
162
Selling firewood
1
163
Selling local brew
2
164
Selling matooke
1
165
Selling of tea and depending on the food ratio
1
166
Sells drugs
1
167
Sells locally made chairs
1
168
Servant
1
169
Sewing machine operator
2
170
She does tailoring
1
171
Shoe repair
1
172
Shop keeper
1
173
Smoking fish
1
174
Soldier
4
175
Still a student
1
176
Still young
1
177
Stone quaring
1
178
Stone quarrying
10
179
Stone querlling
1
180
Stone querrying
1
181
Student
9
182
Students
1
183
Substance farming g a few greens for eating
1
184
TAILORING
1
185
Tailor
9
186
Tailor
1
187
Tailoring
9
188
Tailoring
2
189
Tailoring business
1
190
Taxi Driver
1
191
Teaching
1
192
Teaching
1
193
Trailer in the center
1
194
Trailor
1
195
Training at health centre
1
196
Transports people on water
1
197
Truck driver
1
198
Tutapona Translator
1
199
UN support
7
200
UN support
1
201
Ventinary Doctor
1
202
Village Health Team
1
203
Village local midwife
1
204
Volunteering at the health Centre
1
205
WEAVING
1
206
Wait for money from UN
1
207
Waitress in hotel
1
208
Warehouse loader
1
209
Washing clothes
1
210
Weaving
1
211
Weavings
1
212
Welding
1
213
assisting in domestic work
1
Sysmiss
36045
B15a. What type of phone does ${name_from_earlier1} have?
23612
12827
1
4
1
Feature Phone
5388
2
No phone
17718
3
Not applicable
25
4
Smart Phone
481
Sysmiss
12827
19420
17019
-48
780136489
183417.473
11178811.475
B17. In which country was ${name_from_earlier1} born?
19420
17019
1
6
1
Burundi
582
2
DRC
4132
3
Other specify
37
4
Rwanda
85
5
South Sudan
11139
6
Uganda
3445
Sysmiss
17019
Specify other country born:
37
36402
1
12
1
0
1
2
0000
2
3
Born at Elegu border when they were coming to uganda
1
4
Ignore
1
5
Kenya
18
6
Nill
1
7
None
4
8
Not applicable
1
9
Sudan
2
10
Tanzania
4
11
They are only 11
1
12
Wrong entry
1
Sysmiss
36402
19420
17019
1955
2021
2015.951
3.657
B19. Does ${name_from_earlier1} have any relative still living in the country of
19420
17019
1
4
1
Do Not Know
824
2
No
5344
3
Refused
11
4
Yes
13241
Sysmiss
17019
13241
23198
1
4
1
Do Not Know
3720
2
No
7610
3
Refused
23
4
Yes
1888
Sysmiss
23198
1888
34551
0
58
4.445
4.216
B22. Did any of ${name_from_earlier1} 's relatives delay or change their plans t
1888
34551
1
4
1
Do Not Know
233
2
No
655
3
Refused
3
4
Yes
997
Sysmiss
34551
B23. If yes, have these relatives [select as applicable below]:
997
35442
1
8
1
23
2
3
3
Don't know
7
4
Don't know Not yet arrived in Uganda, but still plan on migr
1
5
Not arrived - they no longer plan on migrating to Uganda.
40
6
Not yet arrived in Uganda, but still plan on migrating in ne
911
7
Not yet arrived in Uganda, but still plan on migrating in ne
9
8
Not yet arrived in Uganda, but still plan on migrating in ne
3
Sysmiss
35442
19420
17019
1
5
1
Don't know
1753
2
No
14448
3
Not yet decided
1029
4
Refused
21
5
Yes
2169
Sysmiss
17019
B25a. Has ${name_from_earlier1} travelled to a city/urban area in Uganda for emp
19420
17019
1
2
1
No
19240
2
Yes
180
Sysmiss
17019
B25b. If yes, how often in the past year?
180
36259
1
2
1
More than once
119
2
Once
61
Sysmiss
36259
B25c. Please select month(s) in which ${name_from_earlier1} travelled to a city/
180
36259
1
95
1
April
5
2
April August
2
3
April August May
1
4
April December March
1
5
April January July September October
1
6
April June August October February
2
7
April June July September
1
8
April May
1
9
April September February March May June July August October
1
10
August
4
11
August April
1
12
August September December
1
13
December
14
14
December August
1
15
December January
1
16
December November
1
17
December November October
1
18
December November October September August July June May Mar
1
19
February
9
20
February April
1
21
February April June August October December
1
22
February August
1
23
February January March April May June July August September
1
24
February June
1
25
February June November
1
26
February March
2
27
February March April
1
28
February March May July August September October December
1
29
February May July June
1
30
February May July September
1
31
January
5
32
January April September June
1
33
January April September June May July March February August
1
34
January August June
1
35
January December
2
36
January December November
2
37
January February
1
38
January February April May June
1
39
January February April May March June July August September
1
40
January February March April
1
41
January February March April June September August October
1
42
January February March April May July June August September
1
43
January February March April May June July August October Se
1
44
January February March April May June July August September
6
45
January February May April March June July August October Se
1
46
January June
1
47
January March February April May June
1
48
January March June August
1
49
January May
1
50
January May December
1
51
January May July
1
52
January May October
1
53
July
2
54
July March September
1
55
July September
1
56
June
5
57
June December
2
58
June January March
1
59
June May March
1
60
March
10
61
March April
1
62
March August
1
63
March July
1
64
March June
2
65
March June August
1
66
March June October
1
67
March September
2
68
May
6
69
May August
1
70
May February January
1
71
May July October February
1
72
May June July August September
1
73
May September
1
74
May September July
1
75
November
9
76
November August March June
1
77
November August September
1
78
November December October July
1
79
November June
1
80
November March June
1
81
November October
2
82
November September
1
83
November September October
1
84
October
9
85
October August June November
1
86
October June
1
87
October November December
1
88
September
4
89
September August
1
90
September August July
1
91
September August October
1
92
September June
1
93
September June February
1
94
September October
1
95
September October November
2
Sysmiss
36259
B26a. Has ${name_from_earlier1} travelled to his/her country of origin for the p
19294
17145
1
2
1
No
19269
2
Yes
25
Sysmiss
17145
B26b. If yes, why?
25
36414
1
2
1
Crop production
13
2
Other specify
12
Sysmiss
36414
B26c. If yes, how often?
25
36414
1
2
1
More than once a year
10
2
Once a year
15
Sysmiss
36414
B26d. Please select month(s) in which ${name_from_earlier1} travelled to the cou
25
36414
1
16
1
April
3
2
April August
1
3
April June
1
4
August
1
5
December
1
6
January
6
7
January March May June April February
1
8
July
1
9
June
1
10
June September
1
11
March
1
12
May
2
13
May October
1
14
November
1
15
October
2
16
September
1
Sysmiss
36414
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
B28 when did they first arrive to Uganda?
149
5487
1991
2020
2016.087
3.725
B29 Can you provide reason why the household was forced to leave their home coun
3135
0
Due to conflict/war
2536
Due to conflict/war Natural hazards/famine
31
Due to conflict/war Natural hazards/famine Persecution/human rights violations
120
Due to conflict/war Natural hazards/famine Persecution/human rights violations Other(specify)
2
Due to conflict/war Other(specify)
3
Due to conflict/war Persecution/human rights violations
372
Due to conflict/war Persecution/human rights violations Natural hazards/famine
30
Due to conflict/war Persecution/human rights violations Other(specify)
5
Natural hazards/famine
1
Natural hazards/famine Due to conflict/war
3
Natural hazards/famine Due to conflict/war Persecution/human rights violations
1
Other(specify)
7
Persecution/human rights violations
14
Persecution/human rights violations Due to conflict/war
9
Persecution/human rights violations Natural hazards/famine Due to conflict/war
1
B29 Can you provide reason why the household was forced to leave their home coun
3135
2501
0
1
0.993
0.0835
0
22
1
3113
Sysmiss
2501
B29 Can you provide reason why the household was forced to leave their home coun
3135
2501
0
1
0.0603
0.238
0
2946
1
189
Sysmiss
2501
B29 Can you provide reason why the household was forced to leave their home coun
3135
2501
0
1
0.177
0.381
0
2581
1
554
Sysmiss
2501
B29 Can you provide reason why the household was forced to leave their home coun
3135
2501
0
1
0.00542
0.0735
0
3118
1
17
Sysmiss
2501
Other: specify
17
1
Burning of the house
1
Ebora
2
Education
1
Education in South Sudan is not good so we came to get better education in Uganda
1
Family dispute
1
He was already living here in Omugo subcounty even before the South sudan war broke and he married from the settlement
1
Looking for operating schools
1
Needed peace of Mind
1
No school
1
None
1
Poverty
1
She was chased from there
1
Shortage of facilities such as health
1
They were all born in uganda
1
Were all born in uganda
1
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
C1. How many [Hoe] does your household own?
5636
0
0
25
2.339
2.085
C1. How many [Axe] does your household own?
5636
0
0
10
0.424
0.632
0
3552
1
1843
2
202
3
25
4
8
5
3
6
1
7
1
10
1
C1. How many [Spraying machine] does your household own?
5636
0
0
10
0.0671
0.359
0
5333
1
263
2
30
3
4
4
1
5
1
8
3
10
1
C1. How many [Shovel/spade] does your household own?
5636
0
0
8
0.28
0.577
0
4299
1
1166
2
133
3
20
4
9
5
5
6
3
8
1
C1. How many [Pick-Axe] does your household own?
5636
0
0
11
0.118
0.487
0
5130
1
420
2
59
3
13
4
4
5
2
6
2
8
4
9
1
11
1
C1. How many [Sickle] does your household own?
5636
0
0
10
0.358
0.711
0
4071
1
1257
2
234
3
48
4
7
5
9
6
3
7
1
8
4
10
2
C1. How many [Rake] does your household own?
5636
0
0
8
0.124
0.43
0
5030
1
556
2
36
3
6
4
2
5
1
8
5
C1. How many [Cart] does your household own?
5636
0
0
9
0.0161
0.272
0
5590
1
36
2
3
3
1
5
1
8
4
9
1
C1. How many [Tractor] does your household own?
5636
0
0
9
0.00887
0.248
0
5623
1
7
2
1
8
4
9
1
C1. How many [Conventional Yoke] does your household own?
5636
0
0
80
0.0312
1.098
C1. How many [Ox Plough] does your household own?
5636
0
0
80
0.0442
1.101
C1. How many [Wheelbarrow] does your household own?
5636
0
0
80
0.0937
1.122
C1. How many [Panga/Slasher] does your household own?
5636
0
0
24
0.928
0.94
C1. How many [Pruning knife/knife] does your household own?
5636
0
0
21
1.12
0.985
C1. How many [Water Pumps] does your household own?
5636
0
0
300
0.101
4.039
C2. How many [Cell phone] does your household own?
5636
0
0
11
1.07
0.993
0
1564
1
2721
2
975
3
240
4
91
5
23
6
9
7
5
8
6
11
2
C2. How many [Radio] does your household own?
5636
0
0
50
0.307
0.847
C2. How many [Car] does your household own?
5636
0
0
8
0.0108
0.204
0
5599
1
31
2
3
8
3
C2. How many [TV] does your household own?
5636
0
0
10
0.0555
0.328
0
5363
1
265
2
2
3
1
7
1
8
3
10
1
C2. How many [Motor cycle] does your household own?
5636
0
0
80
0.0832
1.114
C2. How many [Bicycle] does your household own?
5636
0
0
80
0.201
1.169
C2. How many [Solar panel] does your household own?
5636
0
0
8
0.44
0.634
0
3449
1
1971
2
168
3
34
4
6
5
4
6
1
7
1
8
2
C2. How many [Fridge] does your household own?
5636
0
0
9
0.011
0.238
0
5609
1
19
2
3
4
1
8
3
9
1
C2. How many [Generator] does your household own?
5636
0
0
8
0.0144
0.324
0
5620
1
6
3
1
8
9
C2. How many [Cooker/stove (Electric/Gas)] does your household own?
5636
0
0
80
0.105
1.693
C2. How many [Iron box/Pressing Iron (for removing creases from clothes )] does
5636
0
0
80
0.131
1.14
C2. How many [Computer/Laptop] does your household own?
5636
0
0
80
0.0303
1.108
C2. How many [Tables] does your household own?
5636
0
0
16
0.813
0.97
0
2385
1
2376
2
619
3
148
4
63
5
27
6
9
7
2
8
4
10
1
11
1
16
1
C2. How many [Chairs/Stools/Benches] does your household own?
5636
0
0
65
2.893
2.49
C2. How many [Bed] does your household own?
5636
0
0
100000
19.055
1332.015
C2. How many [Mattresses] does your household own?
5636
0
0
20
1.683
1.824
0
1605
1
1599
2
1082
3
632
4
323
5
173
6
101
7
44
8
27
9
18
10
15
11
3
12
6
13
1
14
3
15
2
17
1
20
1
C2. How many [Mosquito net] does your household own?
5636
0
0
24
2.489
1.996
C2. How many [Jerrycan] does your household own?
5636
0
0
310
2.945
4.577
C3. What is the total arable land area owned/in general use by your household, i
5636
0
0
1520
3.627
29.874
C4. How much of this land are you currently using for agriculture (specify units
5636
0
0
160
1.481
3.927
C5. Who in the households controls and makes MOST decisions regarding the agricu
5636
0
${mem10}
2
${mem11}
1
${mem12}
1
${mem14}
2
${mem1}
5112
${mem2}
390
${mem3}
37
${mem4}
21
${mem5}
29
${mem6}
10
${mem7}
16
${mem8}
11
${mem9}
4
C6. How did your household access the arable land?
2931
0
Individual request from host community (free)
100
Individual request from host community (rental/lease/buying)
401
Joint/group farming activity with host community
1
OPM/DLG help
2351
Other (specify)
78
Other specify
78
0.5 from OPM and 0.125 they bought
1
1 Acre from OPM and 0.125 Bought
1
1 Acre from OPM and O.5 bought
1
1 acre from OPM and 0.125 bought
1
2 Acres from OPM and 2 Acres Renting
1
3 acres was given to them by OPM and 0.25 was bought
1
Any free land
1
Both OPM/DLG help
1
1
1
1
1
1
Both rental and 0pm
1
1
1
Bought
2
Bought 2 acres and got one acre from OPM
1
Bought from a fellow Refugee
1
Bought from a refugee going back to Congo
1
Bought from refugee neighbour 0.25
1
Bought it from another person the previous given land had witchcraft people
1
Brought from other refugees in the settlement
1
By both OPM and renting from the host community member
1
1
1
By both OPM/GLG help and rented from the host community member
1
Chairman
1
DRC
1
Empty land which was found idle
1
Fellow refugee
1
1
1
Free land
1
1
From the neighbour
1
1
1
Given by OPM/DLG help and he uses the one other refugees have left as a result of migrating to other settlements.
1
Given by a Neighbour (Abdhala Musa)
1
Got 0.5 from OPM,and bought 0.25 and renting 0.75
1
Got 1 from OPM and 0.125 brought
1
Hiring
2
NURI -ORGANISATION
1
No land
1
No man's land
1
None
1
O.5 was given by OPM and 0.25 was given to him by a fellow refugee who was migrating free of charge.
1
OPM gave them 0.5 and they bought 0.125
1
OPM gave them 1 Acre and 0.5 renting
1
OPM, RENTAL
3
Opm , AND COMMUNITY LAND ROAD
1
Purchase from community
1
Purchased land and OPM
1
1
Relative
1
Rent
1
Rented
1
Rented from Host
1
Renting
3
Rents land from refugees
1
Requested some on top of that given by the OPM
1
Shifted because the first allocation , in Block B was rocky and she could not built a proper accomodation.
1
There are doing school myer run and ensure asked she asked to them come and stay with her later she left them and then she was taking for treatment in south sudan
1
They don't do agriculture
1
They were given 1 acre by OPM and 0.25 Bought
1
Through CARE program
1
UN
2
UNHCR
2
Using His and for other people's
1
C7. In the event of disagreement over land, do you know if you can seek redress?
2930
0
I do not know
480
No, I cannot
262
Other (specify)
12
Yes, only if disagreement with a fellow refugee
602
Yes, only if disagreement with a member of the host community
73
Yes, whether disagreeing with another refugee or host community member
1501
Other (specify)2
16
0
He bougt
1
I bought it i own it
1
1
1
If the 0pm decides
1
Its the opm to decide
1
None
5
Only if I fail to pay the seasonal fees, I can lose
1
Opm decides
1
RWC
1
The opm decides
1
The opm decides not me
1
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
D1.1 Primary school
5636
0
0
999
2.506
27.052
D1.2. Secondary school
5636
0
0
9999
10.217
145.698
D1.3. Public/Private health facility [Smaller and less equiped compared to a Hos
5636
0
-5
999
5.381
54.751
D1.4. Hospital
5636
0
0
9999
79.259
397.02
5636
0
0
999
6.629
51.174
D1.6. Church/Mosque
5636
0
0
999
1.896
27.128
D1.7. Petty Market
5636
0
0
999
5.576
60.851
D1.8. Agric/Extension services office
5636
0
0
9999
150.885
428.845
D1.9. Government office where you get weather/climate information
5636
0
0
9999
184.342
450.664
D1.10. Financial services/Bank/ Money Transfer Point
5636
0
0
9999
14.817
205.625
D1.11. Public means of transport
5636
0
0
999
10.312
91.715
D1.12. Nearest Local Government office
5636
0
0
9999
28.972
266.586
D1.13. Crop Market
5636
0
0
9999
25.941
189.921
D1.14. Livestock Market
5636
0
0
99999
237.781
1679.211
D1.15. Registration services for businesses and association such as VSLA, farmer
5636
0
0
9999
152.197
412.284
D2b. Specify other type of toilet facility:
35
0
Currently uses for the neighbour
1
Destroyed by Rain early this year
1
Does not have, uses for the neighbour
1
Doesnt have and shares with neighbour
1
Goes to the neighbor
1
Goes to the neighbours
1
Goes to the public toilet built by Plan International. Free of charge
1
He uses the neighbours toilet
1
Moves to the neighbor's
1
Moves to the neighbors
1
No latrine , she goes to a neighbours home .
1
No toilet
2
None
1
Share neighbour's
1
Share the pit latrine for the neighbour
1
1
Share with neighbours
1
Share with neighours
1
Shares with neighbours
1
Shares with the neighbor
1
Shares with the neighbors
2
Sharing one for the neighbour
1
Sharing the one for the neighbour
1
Someone from the neighbourhood just comes and clean her
1
The household does not have a toilet ,they use one for neighbours
1
Under construction
1
Uses neighbors toilet
1
Uses some body's latrine
1
Uses that for the neighbor
1
Uses that of the neighbor
1
Uses the school VIP latrine.
1
Using the one for the neighbour
1
We use neighbours' toilet
1
D3b. Specify other primary source of drinking water:
9
0
Buys water from the bicycle
1
Piped private tap
1
Pit surrounded by a acloth
1
Swamp
2
Swamp water
2
Tank 14 from omugo settlement
1
Tap at chairperson house
1
Specify other secondary source of drinking water:
52
0
Borrow from neigbours
1
Buy water
1
Buys from the bicycle
1
Check in another camp
1
Dam
1
Goes to another block for pipe water
1
Lake
1
Moves to another block
1
Neighbouring village
1
No alternative
5
No other
1
No other source
1
None
22
Swamp
11
Swamp water
1
Tries another block or zone
1
Try from another zone or block
1
D5. How long does it take you to go to and return from the primary source of wat
5636
0
0
999
33.254
37.582
D6. Who is MAINLY responsible for collecting this water in the household?
5636
0
Both (Household head and spouse)
174
Female children
567
Female household head (Woman heading the household)
1304
Jointly by male(s) and female(s) outside the household
24
Jointly by male(s) and female(s) within the household
1306
Jointly male and female children
1327
Male children
276
Male household head (Male heading the household)
257
Other female(s) outside the household
19
Other female(s) within the household
314
Other male(s) outside the household
20
Other male(s) within the household
48
5636
0
1
11
1
Covered pit latrine private
3085
2
Covered pit latrine shared
1064
3
VIP latrine private
111
4
VIP latrine shared
51
5
Uncovered pit latrine
1107
6
Flush toilet private
5
7
Flush toilet shared
3
8
Bush
102
9
Dig and Bury
73
10
Mobile / portable toilets for refugee settlements
0
11
Other (specify)
35
D3. What is the primary source of drinking water for members of your household?
5636
0
1
13
1
Piped (dwelling/compound)
54
2
Piped public tap
2185
3
Protected Shallow well
93
4
Borehole
2449
5
Protected spring
84
6
Roof rain water
37
7
Unprotected spring
107
8
Tanker/Truck water
94
9
River/stream
203
10
Dam/pond/pan/lake
153
11
Water vendor
13
12
Unprotected/open shallow well
155
13
Other (specify)
9
D4. What is the secondary source of drinking water for members of your household
5636
0
1
13
1
Piped (dwelling/compound)
17
2
Piped public tap
1336
3
Protected Shallow well
98
4
Borehole
2111
5
Protected spring
50
6
Roof rain water
311
7
Unprotected spring
149
8
Tanker/Truck water
44
9
River/stream
783
10
Dam/pond/pan/lake
403
11
Water vendor
9
12
Unprotected/open shallow well
273
13
Other (specify)
52
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
D7. Which of the following options do you use for cooking?
5636
0
Biogas Clay stove (own production)
1
Biogas Three-stone fire
1
Clay stove (own production)
1301
Clay stove (own production) Improved cookstove
27
Clay stove (own production) Improved cookstove Three-stone fire
1
Clay stove (own production) Metallic stove
1
Clay stove (own production) Solar stove
1
Clay stove (own production) Three-stone fire
66
Clay stove (own production) Three-stone fire Metallic stove
1
Improved cookstove
151
Improved cookstove Clay stove (own production)
9
Improved cookstove Metallic stove
2
Improved cookstove Three-stone fire
11
Metallic stove
33
Metallic stove Clay stove (own production)
1
Metallic stove Clay stove (own production) Three-stone fire
1
Metallic stove Improved cookstove Three-stone fire
1
Metallic stove Three-stone fire
5
Metallic stove Three-stone fire Clay stove (own production)
1
Other(specify)
10
Other(specify) Three-stone fire
1
Solar stove
3
Solar stove Three-stone fire
1
Three-stone fire
3528
Three-stone fire Biogas
2
Three-stone fire Clay stove (own production)
364
Three-stone fire Clay stove (own production) Improved cookstove
9
Three-stone fire Clay stove (own production) Metallic stove
1
Three-stone fire Clay stove (own production) Other(specify)
1
Three-stone fire Improved cookstove
77
Three-stone fire Improved cookstove Clay stove (own production)
2
Three-stone fire Metallic stove
18
Three-stone fire Metallic stove Clay stove (own production)
1
Three-stone fire Other(specify)
2
Three-stone fire Solar stove
1
D7. Which of the following options do you use for cooking?/Three-stone fire
5636
0
0
1
0.727
0.446
0
1540
1
4096
D7. Which of the following options do you use for cooking?/Clay stove (own produ
5636
0
0
1
0.317
0.466
0
3847
1
1789
D7. Which of the following options do you use for cooking?/Improved cookstove
5636
0
0
1
0.0515
0.221
0
5346
1
290
D7. Which of the following options do you use for cooking?/Solar stove
5636
0
0
1
0.00106
0.0326
0
5630
1
6
D7. Which of the following options do you use for cooking?/Biogas
5636
0
0
1
0.00071
0.0266
0
5632
1
4
D7. Which of the following options do you use for cooking?/LPG
5636
0
0
0
0
0
0
5636
D7. Which of the following options do you use for cooking?/Metallic stove
5636
0
0
1
0.0117
0.108
0
5570
1
66
D7. Which of the following options do you use for cooking?/Other(specify)
5636
0
0
1
0.00248
0.0498
0
5622
1
14
D7a. Specify other:
14
0
Charcoal stove
2
Doesn't cook but is assisted with food from the sister's Neighbourhood
1
Eats food from the neighbor
1
Energy Saving Stove
1
Energy stove
1
Gets food from the neighbour
1
He buys food or begs
1
Keno Program provided by World Vision
1
Moulded with clay
1
Mzee does not have as he eats food from the sons home
1
They dug through the soil on the ground in the compound
1
Use of a hole dug
1
World Vision Cooking Stoves.
1
D8. How did you obtain the three-stone fire?
4096
0
Other (specify)
409
Own manufacture
3499
Purchased
172
provided by NGO/Aid agency
16
D8a. Specify other:
409
0
0
1
Asked from host community
1
Bush
1
Cllectected
1
Clllected
1
Colle ted
1
Colleced
2
Collect
1
Collect firewood
1
Collected
43
1
Collected for free from a neighbour
1
Collected for free within home
1
Collected for free within the area.
1
Collected freely from the bush
2
Collected from the bush
1
Collected stones
1
Collects
1
Currently using three bricks
1
Free
54
2
Free from garden
1
1
Free from the bush
3
Free from the garden
2
Free from the surrounding
1
Free from within the compound.
1
Freely
5
1
Freely collectedcrom the bush
1
Freely from the area being a rocky place
1
Freely from the bush
2
Freely from the bush , being a rocky area
1
Freely from the compound
6
Freely from the compound , being a rocky place.
1
Freely from the compund
2
Freely from the compund .
1
Freely from the compund since the place is rocky.
1
Freely from the compund.
1
Freely from the coumpound being a stony place
1
Freely from the neighbour' s area
1
Freely from the rocky compound
1
Freely from the viscinty
1
Freely from within the area
3
Freely from within the area, being a rocky place .
1
Freely from within the compound.
2
Freely from within the viscinity.
1
Freely obtained
1
Freely obtained from the compound
1
Freely obtained from the compound.
2
Freely obtained from the compund.
1
Freely obtained from the neighbour
1
Freely obtained from the viscinity
1
Freely obtained from thre bush
1
1
1
Freely obtained from within the compound
1
Freely obtained from within the compound.
1
Freely picked from within
1
From bush
1
From neighbour
1
From rock site
1
1
From the Bush
2
From the Bush for free
1
From the bush
27
1
From the garden
1
From the neighbour
4
From withim the compound
1
From within my compound being a rocky area
1
From within the compound since the place is rocky
1
Gathered
4
Gathered stones locally
1
1
1
Got from the bush
5
Got them from the river
1
Hunted for it
1
Hunted for the stones
1
Hunted for them in the Bush
1
Improvised
55
It was picked from the bush
1
Just got
1
1
Just put
1
Locally collected
1
Looked for the three stones at the river side
1
Moulded
2
Neighbour
1
Neighbour gave us
1
Neighbour given
1
Obtained for free from the bush.
1
Obtained for free from the field
1
Obtained free crom the bush
1
Obtained freely from the bush
2
Obtained freely from the neighboue
1
Obtained freely from within the compound
1
Obtained from the bush for free.
1
Obtained from within the compound
1
Own collection
1
Picked around the hill
1
Picked at construction site
1
1
Picked from construction site
1
Picked from forest
3
Picked from garden
1
Picked from quarry site
4
Picked from stone site
2
1
Picked from the bush
34
Picked from the garden
1
Picked from the open ground
1
Picked from the open ground within
1
Picked from the surrounding
1
Picked it from the near by surrounding
1
Picked stones from the surrounding areas.
1
Picked stones within
1
2
Picked stones within the surpunding
1
Picked stones within the surrounding
2
Picked stones within the surrounding area
1
Picked stones within the surrounding area.
20
Picked stones within the surrounding areas
1
Picked stones within the surrounding areas.
2
Picked stonesfrom the bush
1
Picked the stones from within the surrounding.
1
Picked the stones within
1
Picked the stones within our area.
1
Picked the stones within the surrounding environment.
1
Picked within the surrounding
1
Picked within the surrounding area
1
Picked within the surrounding area.
2
Picked within the surrounding.
1
Quarry site
1
Remains of the house construction
1
Stones picked within the surrounding area.
1
Within compound
1
D8. How did you obtain the clay stove?
1789
0
Other (specify)
3
Own manufacture
1417
Purchased
215
provided by NGO/Aid agency
154
D8a. Specify other:3
3
0
Freely from within the compund
1
Gift
1
Group members
1
D8. How did you obtain the improved cookstove?
290
0
Other (specify)
1
Own manufacture
57
Purchased
89
provided by NGO/Aid agency
143
D8a. Specify other:4
1
0
Borrowed from neighbour
1
D8. How did you obtain the solar stove?
6
0
Own manufacture
3
Purchased
3
D8. How did you obtain the biogas?
4
0
Own manufacture
2
provided by NGO/Aid agency
2
D8. How did you obtain the Metallic stove?
66
0
Other (specify)
2
Purchased
58
provided by NGO/Aid agency
6
D8a. Specify other:8
2
0
Gift
1
Given by a friend
1
D8. How did you obtain the ${D_7_a}?
14
0
Other (specify)
5
Own manufacture
3
Purchased
2
provided by NGO/Aid agency
4
D8a. Specify other:9
5
0
From people
1
No time frame
1
None
2
Own making
1
D9. Which of these types fuel do you use for cooking?
5636
0
Agricultural residues
11
Agricultural residues Fuelwood
4
Animal dung
1
Briquettes or pellets
1
Briquettes or pellets Charcoal Fuelwood Animal dung
1
Charcoal
303
Charcoal Animal dung
1
Charcoal Fuelwood
117
Charcoal LPG Parafin
1
Charcoal Other (specify)
3
Charcoal Parafin
1
Fuelwood
4601
Fuelwood Agricultural residues
79
Fuelwood Agricultural residues Animal dung
1
Fuelwood Agricultural residues Charcoal
1
Fuelwood Animal dung
3
Fuelwood Briquettes or pellets
1
Fuelwood Briquettes or pellets Agricultural residues
1
Fuelwood Briquettes or pellets Charcoal
2
Fuelwood Charcoal
476
Fuelwood Charcoal Agricultural residues
10
Fuelwood Charcoal Agricultural residues Animal dung
1
Fuelwood Charcoal Briquettes or pellets
4
Fuelwood Charcoal Briquettes or pellets Agricultural residues Animal dung
1
Fuelwood Charcoal Parafin
2
Fuelwood Other (specify)
2
Fuelwood Parafin
1
Other (specify)
4
Other (specify) Fuelwood
1
Parafin Fuelwood Charcoal
1
D9. Which of these types fuel do you use for cooking?/Fuelwood
5636
0
0
1
0.942
0.233
0
326
1
5310
D9. Which of these types fuel do you use for cooking?/Charcoal
5636
0
0
1
0.164
0.37
0
4711
1
925
D9. Which of these types fuel do you use for cooking?/Briquettes or pellets
5636
0
0
1
0.00195
0.0441
0
5625
1
11
D9. Which of these types fuel do you use for cooking?/Agricultural residues
5636
0
0
1
0.0193
0.138
0
5527
1
109
D9. Which of these types fuel do you use for cooking?/Animal dung
5636
0
0
1
0.0016
0.0399
0
5627
1
9
D9. Which of these types fuel do you use for cooking?/LPG
5636
0
0
1
0.000177
0.0133
0
5635
1
1
D9. Which of these types fuel do you use for cooking?/Other (specify)
5636
0
0
1
0.00177
0.0421
0
5626
1
10
D9. Which of these types fuel do you use for cooking?/Parafin
5636
0
0
1
0.00106
0.0326
0
5630
1
6
D9a. Specify other:
10
0
Bio gas
1
Bottles
1
Electricity
1
Maize combs
1
Maize kobs
2
Maize shavings
1
None
2
Nothing
1
D9b. What is the main source of the fuelwood?
5310
0
Aid agency
2
Collected
4847
Other(specify)
12
Purchased
449
D9c. Specify other:
12
0
Barter
6
Both bought and purchased
1
From my farm
1
Get them from my garden
1
Given as aid by neighbours and Well wishers
1
Maize cobs
1
Own farm
1
D9b. What is the main source of the Charcoal?
925
0
Aid agency
3
Collected
128
Other(specify)
32
Purchased
762
D9c. Specify other:10
32
0
Burn by himself
1
Burn by themselves
1
Burn firewood
1
Burn themselves
1
Burning
1
Burns by herself
1
1
Burnt by self means
1
Burnt by the household head
1
Burnt locally by the Hh members
1
1
Citizens give her
1
Make by themselves
2
Make our selves
1
Makes by himself
1
Own
1
Own made
7
Own manufacture
3
Self made
2
The household deals in charcoal selling
1
1
We burn by ourselves
1
D9b. What is the main source of the Briquettes or pellets?
11
0
Aid agency
2
Collected
5
Other(specify)
1
Purchased
3
D9c. Specify other:11
1
0
Own manufacture
1
D9b. What is the main source of the Agricultural residues?
109
0
Collected
109
D9b. What is the main source of the Animal dung?
9
0
Collected
9
D9b. What is the main source of the LPG?
1
0
Collected
1
D9b. What is the main source of the ${D_9_a}?
10
0
Collected
5
Other(specify)
4
Purchased
1
D9c. Specify other:15
4
0
Got from the dry maize
1
None
2
Nothing
1
D10b. What is the main source of the Parafin?
6
0
Collected
1
Purchased
5
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
Which of the following did the household spend on in the LAST 12 months?
5636
Business or other non-agricultural inputs
6
Business or other non-agricultural inputs Clothing & footwear
1
Business or other non-agricultural inputs Clothing & footwear Crop input: Hired labour
1
Business or other non-agricultural inputs Crop input: Hired labour Health care Clothing & footwear
1
Business or other non-agricultural inputs Crop input: Seeds Livestock input: Vet services Livestock input: Hired labour Health care
1
Business or other non-agricultural inputs Education & school fees Livestock purchase Health care Clothing & footwear Crop input: Hired labour
1
Business or other non-agricultural inputs Health care
2
Business or other non-agricultural inputs Health care Clothing & footwear
1
Business or other non-agricultural inputs Health care Clothing & footwear Crop input: Seeds
1
Business or other non-agricultural inputs Health care Education & school fees
1
Business or other non-agricultural inputs Kitchen utensils Clothing & footwear
1
Business or other non-agricultural inputs Other (specify)
2
Business or other non-agricultural inputs Other (specify) Health care Clothing & footwear
1
Clothing & footwear
166
Clothing & footwear Business or other non-agricultural inputs
2
Clothing & footwear Business or other non-agricultural inputs Crop input: Hired labour
2
Clothing & footwear Business or other non-agricultural inputs Crop input: Seeds
1
Clothing & footwear Business or other non-agricultural inputs Health care
1
Clothing & footwear Crop input: Chemical fertilizers
1
Clothing & footwear Crop input: Chemical fertilizers Farming implements or tools Other (specify)
1
Clothing & footwear Crop input: Hired labour
4
Clothing & footwear Crop input: Hired labour Health care
2
Clothing & footwear Crop input: Hired labour Livestock input: Hired labour Livestock input:Manufactured feeds/salts Livestock purchase
1
Clothing & footwear Crop input: Hired labour Other (specify)
1
Clothing & footwear Crop input: Hired labour Other (specify) Health care
1
Clothing & footwear Crop input: Pesticides/Herbicides Health care
1
Clothing & footwear Crop input: Seeds
31
Clothing & footwear Crop input: Seeds Crop input: Hired labour
1
Clothing & footwear Crop input: Seeds Crop input: Hired labour Livestock input:Manufactured feeds/salts
1
Clothing & footwear Crop input: Seeds Crop input: Hired labour Livestock purchase
2
Clothing & footwear Crop input: Seeds Education & school fees
1
Clothing & footwear Crop input: Seeds Farming implements or tools Health care Kitchen utensils Education & school fees
1
Clothing & footwear Crop input: Seeds Farming implements or tools Livestock purchase
1
Clothing & footwear Crop input: Seeds Farming implements or tools Other (specify) Health care
1
Clothing & footwear Crop input: Seeds Health care
4
Clothing & footwear Crop input: Seeds Health care Business or other non-agricultural inputs
1
Clothing & footwear Crop input: Seeds Kitchen utensils
3
Clothing & footwear Crop input: Seeds Kitchen utensils Crop input: Hired labour Livestock purchase Crop input: Pesticides/Herbicides
1
Clothing & footwear Crop input: Seeds Livestock purchase
2
Clothing & footwear Crop input: Seeds Livestock purchase Crop input: Hired labour
1
Clothing & footwear Crop input: Seeds Livestock purchase Health care Other (specify)
1
Clothing & footwear Crop input: Seeds Other (specify)
6
Clothing & footwear Education & school fees
1
Clothing & footwear Education & school fees Health care
1
Clothing & footwear Farming implements or tools
2
Clothing & footwear Farming implements or tools Crop input: Hired labour Livestock input: Vet services
1
Clothing & footwear Farming implements or tools Health care
1
Clothing & footwear Farming implements or tools Other (specify) Kitchen utensils
1
Clothing & footwear Health care
52
Clothing & footwear Health care Crop input: Seeds
4
Clothing & footwear Health care Crop input: Seeds Crop input: Hired labour
1
Clothing & footwear Health care Crop input: Seeds Crop input: Hired labour Crop input: Chemical fertilizers Livestock purchase
1
Clothing & footwear Health care Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Organic Fertilizer Crop input: Chemical fertilizers
1
Clothing & footwear Health care Crop input: Seeds Crop input: Pesticides/Herbicides Hiring of other tools/Equipment
1
Clothing & footwear Health care Crop input: Seeds Farming implements or tools
1
Clothing & footwear Health care Crop input: Seeds Livestock input: Vet services Livestock purchase Other (specify)
1
Clothing & footwear Health care Crop input: Seeds Livestock purchase
3
Clothing & footwear Health care Crop input: Seeds Livestock purchase Other (specify)
1
Clothing & footwear Health care Crop input: Seeds Other (specify)
1
Clothing & footwear Health care Education & school fees Business or other non-agricultural inputs
1
Clothing & footwear Health care Education & school fees Crop input: Seeds Crop input: Hired labour
1
Clothing & footwear Health care Hiring of other tools/Equipment
1
Clothing & footwear Health care Household furniture Kitchen utensils Crop input: Hired labour
1
Clothing & footwear Health care Kitchen utensils
3
Clothing & footwear Health care Kitchen utensils Crop input: Seeds
2
Clothing & footwear Health care Kitchen utensils Crop input: Seeds Crop input: Hired labour Livestock input: Vet services Livestock input: Hired labour Hiring of other tools/Equipment Livestock input:Manufactured feeds/salts
1
Clothing & footwear Health care Kitchen utensils Household furniture
1
Clothing & footwear Health care Kitchen utensils Livestock input: Hired labour
1
Clothing & footwear Health care Kitchen utensils Livestock input: Vet services Livestock purchase
1
Clothing & footwear Health care Livestock purchase
2
Clothing & footwear Health care None Crop input: Seeds
1
Clothing & footwear Health care Other (specify)
10
Clothing & footwear Health care Other (specify) Crop input: Seeds
1
Clothing & footwear Hiring of other tools/Equipment
2
Clothing & footwear Household furniture
1
Clothing & footwear Household furniture Crop input: Seeds
1
Clothing & footwear Household furniture Crop input: Seeds Crop input: Hired labour Crop input: Pesticides/Herbicides Hiring of other tools/Equipment
1
Clothing & footwear Household furniture Crop input: Seeds Farming implements or tools Livestock purchase
1
Clothing & footwear Household furniture Crop input: Seeds Kitchen utensils
1
Clothing & footwear Household furniture Crop input: Seeds Other (specify)
1
Clothing & footwear Household furniture Kitchen utensils
2
Clothing & footwear Household furniture Kitchen utensils Crop input: Pesticides/Herbicides Crop input: Hired labour
1
Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds
2
Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Hired labour
1
Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Health care
1
Clothing & footwear Kitchen utensils
16
Clothing & footwear Kitchen utensils Business or other non-agricultural inputs
1
Clothing & footwear Kitchen utensils Crop input: Seeds
6
Clothing & footwear Kitchen utensils Crop input: Seeds Business or other non-agricultural inputs
2
Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock purchase Business or other non-agricultural inputs
1
Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Livestock input: Vet services Farming implements or tools
1
Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools
3
Clothing & footwear Kitchen utensils Crop input: Seeds Health care
1
Clothing & footwear Kitchen utensils Crop input: Seeds Livestock input: Vet services Farming implements or tools Livestock purchase
1
Clothing & footwear Kitchen utensils Crop input: Seeds Livestock purchase
2
Clothing & footwear Kitchen utensils Crop input: Seeds Livestock purchase Livestock input: Vet services
1
Clothing & footwear Kitchen utensils Crop input: Seeds Other (specify)
1
Clothing & footwear Kitchen utensils Health care
4
Clothing & footwear Kitchen utensils Health care Crop input: Seeds Farming implements or tools Other (specify)
1
Clothing & footwear Kitchen utensils Household furniture
3
Clothing & footwear Kitchen utensils Household furniture Health care
1
Clothing & footwear Kitchen utensils Livestock input: Vet services Crop input: Hired labour
1
Clothing & footwear Kitchen utensils Livestock purchase
1
Clothing & footwear Kitchen utensils Other (specify)
3
Clothing & footwear Livestock input: Vet services
1
Clothing & footwear Livestock input: Vet services Crop input: Seeds
1
Clothing & footwear Livestock purchase
8
Clothing & footwear Livestock purchase Crop input: Hired labour
1
Clothing & footwear Livestock purchase Crop input: Seeds
1
Clothing & footwear Livestock purchase Crop input: Seeds Health care
1
Clothing & footwear Livestock purchase Education & school fees Crop input: Hired labour
1
Clothing & footwear Livestock purchase Other (specify)
1
Clothing & footwear None
1
Clothing & footwear Other (specify)
20
Clothing & footwear Other (specify) Crop input: Seeds
1
Clothing & footwear Other (specify) Crop input: Seeds Livestock purchase
1
Clothing & footwear Other (specify) Education & school fees
1
Clothing & footwear Other (specify) Health care
3
Crop input: Chemical fertilizers Crop input: Organic Fertilizer Crop input: Pesticides/Herbicides
1
Crop input: Chemical fertilizers Health care
1
Crop input: Chemical fertilizers Other (specify)
1
Crop input: Hired labour
7
Crop input: Hired labour Clothing & footwear
1
Crop input: Hired labour Crop input: Seeds Health care
1
Crop input: Hired labour Farming implements or tools
1
Crop input: Hired labour Health care
1
Crop input: Hired labour Health care Clothing & footwear Household furniture
1
Crop input: Hired labour Health care Clothing & footwear Kitchen utensils Crop input: Seeds
1
Crop input: Hired labour Health care Crop input: Seeds Clothing & footwear
1
Crop input: Hired labour Health care Education & school fees Crop input: Seeds
1
Crop input: Hired labour Health care Other (specify)
1
Crop input: Hired labour Other (specify) Health care
1
Crop input: Organic Fertilizer
1
Crop input: Pesticides/Herbicides Crop input: Hired labour Clothing & footwear Health care Livestock input: Vet services
1
Crop input: Pesticides/Herbicides Crop input: Organic Fertilizer Health care
1
Crop input: Pesticides/Herbicides Health care
1
Crop input: Pesticides/Herbicides Health care Clothing & footwear Household furniture Crop input: Seeds
1
Crop input: Pesticides/Herbicides Other (specify) Crop input: Hired labour Livestock input: Vet services Crop input: Seeds Clothing & footwear
1
Crop input: Seeds
79
Crop input: Seeds Business or other non-agricultural inputs
1
Crop input: Seeds Clothing & footwear
9
Crop input: Seeds Clothing & footwear Farming implements or tools
1
Crop input: Seeds Clothing & footwear Farming implements or tools Other (specify)
1
Crop input: Seeds Clothing & footwear Health care
4
Crop input: Seeds Clothing & footwear Household furniture
1
Crop input: Seeds Clothing & footwear Kitchen utensils
2
Crop input: Seeds Crop input: Hired labour
3
Crop input: Seeds Crop input: Hired labour Clothing & footwear Health care
1
Crop input: Seeds Crop input: Hired labour Health care
1
Crop input: Seeds Crop input: Hired labour Other (specify) Health care
1
Crop input: Seeds Crop input: Pesticides/Herbicides
2
Crop input: Seeds Crop input: Pesticides/Herbicides Hiring of other tools/Equipment Crop input: Hired labour
1
Crop input: Seeds Crop input: Pesticides/Herbicides Livestock input: Hired labour
1
Crop input: Seeds Education & school fees Clothing & footwear Crop input: Hired labour Other (specify)
1
Crop input: Seeds Education & school fees Health care Livestock input: Vet services Hiring of other tools/Equipment
1
Crop input: Seeds Education & school fees Livestock purchase
1
Crop input: Seeds Education & school fees Other (specify)
1
Crop input: Seeds Farming implements or tools
2
Crop input: Seeds Farming implements or tools Health care
1
Crop input: Seeds Farming implements or tools Livestock purchase Health care
2
Crop input: Seeds Health care
26
Crop input: Seeds Health care Clothing & footwear
2
Crop input: Seeds Health care Clothing & footwear Crop input: Pesticides/Herbicides Livestock input: Hired labour
1
Crop input: Seeds Health care Clothing & footwear Kitchen utensils Crop input: Hired labour
1
Crop input: Seeds Health care Clothing & footwear Other (specify)
1
Crop input: Seeds Health care Crop input: Hired labour
1
Crop input: Seeds Health care Crop input: Organic Fertilizer
1
Crop input: Seeds Health care Education & school fees
1
Crop input: Seeds Health care Farming implements or tools
1
Crop input: Seeds Health care Farming implements or tools Household furniture
1
Crop input: Seeds Health care Farming implements or tools Livestock purchase
1
Crop input: Seeds Health care Kitchen utensils Clothing & footwear
1
Crop input: Seeds Health care Livestock input: Hired labour
1
Crop input: Seeds Health care Other (specify)
4
Crop input: Seeds Health care Other (specify) Education & school fees
1
Crop input: Seeds Hiring of other tools/Equipment
1
Crop input: Seeds Hiring of other tools/Equipment Clothing & footwear
1
Crop input: Seeds Household furniture Farming implements or tools
1
Crop input: Seeds Kitchen utensils
2
Crop input: Seeds Kitchen utensils Clothing & footwear Business or other non-agricultural inputs Crop input: Pesticides/Herbicides
1
Crop input: Seeds Kitchen utensils Health care
1
Crop input: Seeds Kitchen utensils Livestock purchase
1
Crop input: Seeds Livestock input: Vet services
3
Crop input: Seeds Livestock input: Vet services Health care
1
Crop input: Seeds Livestock purchase Health care
1
Crop input: Seeds None
1
Crop input: Seeds Other (specify)
12
Crop input: Seeds Other (specify) Clothing & footwear Health care Crop input: Hired labour
1
Crop input: Seeds Other (specify) Crop input: Pesticides/Herbicides Health care
1
Crop input: Seeds Other (specify) Health care
2
Education & school fees
26
Education & school fees Clothing & footwear
10
Education & school fees Clothing & footwear Business or other non-agricultural inputs
1
Education & school fees Clothing & footwear Crop input: Hired labour Health care
1
Education & school fees Clothing & footwear Crop input: Seeds Livestock input: Vet services Livestock purchase
1
Education & school fees Clothing & footwear Crop input: Seeds Livestock purchase
1
Education & school fees Clothing & footwear Health care
2
Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock input: Vet services Livestock purchase
1
Education & school fees Clothing & footwear Household furniture Kitchen utensils Farming implements or tools
1
Education & school fees Clothing & footwear Kitchen utensils
2
Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour
1
Education & school fees Clothing & footwear Kitchen utensils Health care
1
Education & school fees Clothing & footwear Livestock purchase
1
Education & school fees Clothing & footwear Other (specify)
3
Education & school fees Clothing & footwear Other (specify) Farming implements or tools
1
Education & school fees Crop input: Seeds
3
Education & school fees Crop input: Seeds Health care
2
Education & school fees Health care
14
Education & school fees Health care Clothing & footwear
8
Education & school fees Health care Clothing & footwear Crop input: Seeds Crop input: Organic Fertilizer
1
Education & school fees Health care Clothing & footwear Kitchen utensils
1
Education & school fees Health care Clothing & footwear Kitchen utensils Household furniture
1
Education & school fees Health care Clothing & footwear Livestock purchase
1
Education & school fees Health care Crop input: Hired labour Livestock purchase Clothing & footwear Other (specify)
1
Education & school fees Health care Crop input: Seeds Clothing & footwear
1
Education & school fees Health care Crop input: Seeds Crop input: Hired labour Business or other non-agricultural inputs
1
Education & school fees Health care Kitchen utensils
1
Education & school fees Health care Kitchen utensils Clothing & footwear
1
Education & school fees Health care Livestock input: Hired labour
1
Education & school fees Health care Other (specify)
2
Education & school fees Hiring of other tools/Equipment
1
Education & school fees Household furniture Clothing & footwear Livestock purchase
1
Education & school fees Kitchen utensils Crop input: Seeds Crop input: Hired labour
1
Education & school fees Kitchen utensils Crop input: Seeds Livestock purchase Hiring of other tools/Equipment
1
Education & school fees Kitchen utensils Household furniture Crop input: Seeds
1
Education & school fees Livestock input: Vet services
1
Education & school fees Livestock input: Vet services Crop input: Seeds
1
Education & school fees None
1
Education & school fees Other (specify)
5
Education & school fees Other (specify) Crop input: Hired labour Health care
1
Education & school fees Other (specify) Health care
1
Farming implements or tools
5
Farming implements or tools Clothing & footwear
1
Farming implements or tools Clothing & footwear Health care Crop input: Seeds
1
Farming implements or tools Crop input: Seeds
2
Farming implements or tools Crop input: Seeds Clothing & footwear
1
Farming implements or tools Health care
1
Farming implements or tools Health care Crop input: Seeds
1
Farming implements or tools Livestock purchase
1
Farming implements or tools Other (specify)
1
Health care
876
Health care Business or other non-agricultural inputs
7
Health care Business or other non-agricultural inputs Clothing & footwear
5
Health care Business or other non-agricultural inputs Crop input: Hired labour
1
Health care Clothing & footwear
425
Health care Clothing & footwear Business or other non-agricultural inputs
3
Health care Clothing & footwear Business or other non-agricultural inputs Crop input: Seeds
2
Health care Clothing & footwear Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides
1
Health care Clothing & footwear Crop input: Hired labour
9
Health care Clothing & footwear Crop input: Hired labour Business or other non-agricultural inputs
2
Health care Clothing & footwear Crop input: Hired labour Crop input: Pesticides/Herbicides Livestock purchase Livestock input:Manufactured feeds/salts Business or other non-agricultural inputs Livestock input: Hired labour
1
Health care Clothing & footwear Crop input: Hired labour Other (specify)
1
Health care Clothing & footwear Crop input: Organic Fertilizer Crop input: Hired labour Other (specify)
1
Health care Clothing & footwear Crop input: Pesticides/Herbicides
1
Health care Clothing & footwear Crop input: Pesticides/Herbicides Crop input: Hired labour
1
Health care Clothing & footwear Crop input: Pesticides/Herbicides Farming implements or tools
1
Health care Clothing & footwear Crop input: Pesticides/Herbicides Livestock purchase Kitchen utensils
1
Health care Clothing & footwear Crop input: Pesticides/Herbicides Other (specify)
1
Health care Clothing & footwear Crop input: Seeds
163
Health care Clothing & footwear Crop input: Seeds Business or other non-agricultural inputs
1
Health care Clothing & footwear Crop input: Seeds Business or other non-agricultural inputs Crop input: Chemical fertilizers
1
Health care Clothing & footwear Crop input: Seeds Crop input: Chemical fertilizers
1
Health care Clothing & footwear Crop input: Seeds Crop input: Chemical fertilizers Crop input: Hired labour
1
Health care Clothing & footwear Crop input: Seeds Crop input: Chemical fertilizers Crop input: Hired labour Other (specify)
1
Health care Clothing & footwear Crop input: Seeds Crop input: Chemical fertilizers Crop input: Organic Fertilizer Other (specify) Crop input: Hired labour
1
Health care Clothing & footwear Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Crop input: Hired labour Other (specify)
1
Health care Clothing & footwear Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Crop input: Hired labour Other (specify) Livestock input: Vet services
1
Health care Clothing & footwear Crop input: Seeds Crop input: Chemical fertilizers Farming implements or tools Crop input: Hired labour Livestock purchase
1
Health care Clothing & footwear Crop input: Seeds Crop input: Chemical fertilizers Livestock input: Vet services Livestock purchase
1
Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour
11
Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour Business or other non-agricultural inputs
1
Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour Farming implements or tools
2
Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour Livestock input: Vet services
2
Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour Livestock input: Vet services Farming implements or tools
1
Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour Livestock purchase
1
Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour Livestock purchase Business or other non-agricultural inputs
1
Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour Livestock purchase Other (specify)
1
Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour None
1
Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour Other (specify)
4
Health care Clothing & footwear Crop input: Seeds Crop input: Organic Fertilizer Crop input: Pesticides/Herbicides
1
Health care Clothing & footwear Crop input: Seeds Crop input: Organic Fertilizer Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock input: Hired labour Livestock purchase
1
Health care Clothing & footwear Crop input: Seeds Crop input: Organic Fertilizer Farming implements or tools Crop input: Hired labour Other (specify)
1
Health care Clothing & footwear Crop input: Seeds Crop input: Organic Fertilizer Livestock input: Vet services Livestock input: Hired labour Livestock purchase Farming implements or tools Other (specify)
1
Health care Clothing & footwear Crop input: Seeds Crop input: Pesticides/Herbicides
6
Health care Clothing & footwear Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock input: Vet services
1
Health care Clothing & footwear Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock input: Vet services Other (specify)
1
Health care Clothing & footwear Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Other (specify)
1
Health care Clothing & footwear Crop input: Seeds Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock input: Vet services
1
Health care Clothing & footwear Crop input: Seeds Crop input: Pesticides/Herbicides Livestock input: Vet services
1
Health care Clothing & footwear Crop input: Seeds Crop input: Pesticides/Herbicides Other (specify)
1
Health care Clothing & footwear Crop input: Seeds Crop input: Pesticides/Herbicides Other (specify) Livestock input: Vet services
1
Health care Clothing & footwear Crop input: Seeds Education & school fees
2
Health care Clothing & footwear Crop input: Seeds Education & school fees Farming implements or tools
1
Health care Clothing & footwear Crop input: Seeds Farming implements or tools
8
Health care Clothing & footwear Crop input: Seeds Farming implements or tools Crop input: Hired labour
3
Health care Clothing & footwear Crop input: Seeds Farming implements or tools Crop input: Hired labour Livestock purchase
1
Health care Clothing & footwear Crop input: Seeds Farming implements or tools Crop input: Organic Fertilizer Crop input: Hired labour
1
Health care Clothing & footwear Crop input: Seeds Farming implements or tools Hiring of other tools/Equipment
1
Health care Clothing & footwear Crop input: Seeds Farming implements or tools Livestock input: Hired labour
1
Health care Clothing & footwear Crop input: Seeds Farming implements or tools Livestock input: Vet services
1
Health care Clothing & footwear Crop input: Seeds Farming implements or tools Livestock purchase
2
Health care Clothing & footwear Crop input: Seeds Farming implements or tools Other (specify)
2
Health care Clothing & footwear Crop input: Seeds Farming implements or tools Other (specify) Livestock purchase
1
Health care Clothing & footwear Crop input: Seeds Hiring of other tools/Equipment
3
Health care Clothing & footwear Crop input: Seeds Hiring of other tools/Equipment Kitchen utensils
1
Health care Clothing & footwear Crop input: Seeds Kitchen utensils
6
Health care Clothing & footwear Crop input: Seeds Kitchen utensils Farming implements or tools Livestock purchase
2
Health care Clothing & footwear Crop input: Seeds Kitchen utensils Farming implements or tools Livestock purchase Livestock input: Vet services Livestock input:Manufactured feeds/salts
1
Health care Clothing & footwear Crop input: Seeds Kitchen utensils Household furniture
1
Health care Clothing & footwear Crop input: Seeds Kitchen utensils Household furniture Farming implements or tools
1
Health care Clothing & footwear Crop input: Seeds Kitchen utensils Livestock purchase
1
Health care Clothing & footwear Crop input: Seeds Kitchen utensils Other (specify)
2
Health care Clothing & footwear Crop input: Seeds Livestock input: Hired labour Crop input: Hired labour
1
Health care Clothing & footwear Crop input: Seeds Livestock input: Vet services
6
Health care Clothing & footwear Crop input: Seeds Livestock input: Vet services Business or other non-agricultural inputs
1
Health care Clothing & footwear Crop input: Seeds Livestock input: Vet services Crop input: Hired labour
1
Health care Clothing & footwear Crop input: Seeds Livestock input:Manufactured feeds/salts
1
Health care Clothing & footwear Crop input: Seeds Livestock purchase
19
Health care Clothing & footwear Crop input: Seeds Livestock purchase Business or other non-agricultural inputs
1
Health care Clothing & footwear Crop input: Seeds Livestock purchase Crop input: Hired labour
1
Health care Clothing & footwear Crop input: Seeds Livestock purchase Farming implements or tools
2
Health care Clothing & footwear Crop input: Seeds Livestock purchase Farming implements or tools Other (specify)
1
Health care Clothing & footwear Crop input: Seeds Livestock purchase Other (specify)
4
Health care Clothing & footwear Crop input: Seeds Other (specify)
19
Health care Clothing & footwear Crop input: Seeds Other (specify) Farming implements or tools
1
Health care Clothing & footwear Crop input: Seeds Other (specify) Livestock purchase
1
Health care Clothing & footwear Education & school fees
16
Health care Clothing & footwear Education & school fees Crop input: Seeds
4
Health care Clothing & footwear Education & school fees Crop input: Seeds Livestock input: Hired labour Crop input: Pesticides/Herbicides
1
Health care Clothing & footwear Education & school fees Farming implements or tools
1
Health care Clothing & footwear Education & school fees Household furniture Kitchen utensils Crop input: Seeds Crop input: Organic Fertilizer Farming implements or tools Livestock purchase
1
Health care Clothing & footwear Education & school fees Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock input: Fodder Livestock input: Vet services Liv
1
Health care Clothing & footwear Education & school fees Kitchen utensils
1
Health care Clothing & footwear Education & school fees Kitchen utensils Household furniture
1
Health care Clothing & footwear Education & school fees Livestock purchase Crop input: Seeds
1
Health care Clothing & footwear Education & school fees Other (specify)
1
Health care Clothing & footwear Farming implements or tools
9
Health care Clothing & footwear Farming implements or tools Crop input: Hired labour Livestock input: Vet services Crop input: Seeds
1
Health care Clothing & footwear Farming implements or tools Crop input: Hired labour Livestock purchase Other (specify)
1
Health care Clothing & footwear Farming implements or tools Crop input: Seeds
3
Health care Clothing & footwear Farming implements or tools Livestock input: Vet services
3
Health care Clothing & footwear Farming implements or tools Livestock purchase
3
Health care Clothing & footwear Farming implements or tools Livestock purchase Kitchen utensils
1
Health care Clothing & footwear Farming implements or tools Other (specify)
1
Health care Clothing & footwear Hiring of other tools/Equipment
4
Health care Clothing & footwear Hiring of other tools/Equipment Crop input: Seeds
1
Health care Clothing & footwear Household furniture
23
Health care Clothing & footwear Household furniture Crop input: Seeds
3
Health care Clothing & footwear Household furniture Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Crop input: Hired labour Other (specify)
1
Health care Clothing & footwear Household furniture Crop input: Seeds Crop input: Hired labour
3
Health care Clothing & footwear Household furniture Crop input: Seeds Crop input: Organic Fertilizer Crop input: Pesticides/Herbicides Livestock purchase
1
Health care Clothing & footwear Household furniture Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock purchase Business or other non-agricultural inputs
1
Health care Clothing & footwear Household furniture Crop input: Seeds Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock input:Manufactured feeds/salts Livestock purchase
1
Health care Clothing & footwear Household furniture Crop input: Seeds Crop input: Pesticides/Herbicides Hiring of other tools/Equipment
1
Health care Clothing & footwear Household furniture Crop input: Seeds Farming implements or tools
1
Health care Clothing & footwear Household furniture Crop input: Seeds Kitchen utensils
1
Health care Clothing & footwear Household furniture Crop input: Seeds Kitchen utensils Crop input: Chemical fertilizers Farming implements or tools Crop input: Hired labour
1
Health care Clothing & footwear Household furniture Crop input: Seeds Kitchen utensils Crop input: Hired labour Crop input: Pesticides/Herbicides
1
Health care Clothing & footwear Household furniture Crop input: Seeds Other (specify)
1
Health care Clothing & footwear Household furniture Farming implements or tools
1
Health care Clothing & footwear Household furniture Hiring of other tools/Equipment Crop input: Hired labour
1
Health care Clothing & footwear Household furniture Kitchen utensils
11
Health care Clothing & footwear Household furniture Kitchen utensils Business or other non-agricultural inputs
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock purchase Business or other non-agricultural inputs Lives
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock purchase Livestock input: Vet services
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Hired labour Livestock input:Manufactured feeds/salts Livestock purchase Crop input: Seeds
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Pesticides/Herbicides Crop input: Chemical fertilizers Crop input: Hired labour Livestock purchase Business or other non-agricultural inputs
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Pesticides/Herbicides Crop input: Hired labour
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock purchase
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds
4
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Business or other non-agricultural inputs
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Hired labour
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Organic Fertilizer
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock purchase Livestock input:Manufactured feeds/salts Livestock input:
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock input:Manufactured feeds/salts Livesto
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Farming implements or tools Livestock input:Manufactured feeds/salts Livestock input: Vet services
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Livestock input: Vet services Crop input: Hired labour
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Farming implements or tools Crop input: Hired labour Livestock input: Vet services Livestock purchase
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Hired labour
3
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Hired labour Farming implements or tools Livestock purchase
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Hired labour Hiring of other tools/Equipment
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Hired labour Livestock purchase
2
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Hired labour Livestock purchase Hiring of other tools/Equipment
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Organic Fertilizer Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock purchase
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Organic Fertilizer Crop input: Pesticides/Herbicides Livestock purchase Farming implements or tools
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Chemical fertilizers Farming implements or tools Livestock purchase
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Business or other non-agricultural inputs
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Farming implements or tools Livestock input: Vet services
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Farming implements or tools Livestock input: Vet services
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Education & school fees
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Farming implements or tools
3
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Farming implements or tools Crop input: Hired labour
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Farming implements or tools Crop input: Hired labour Business or other non-agricultural inputs
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Farming implements or tools Crop input: Hired labour Livestock input: Vet services
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Farming implements or tools Crop input: Hired labour Livestock input:Manufactured feeds/salts Livestock input: Vet services
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Hiring of other tools/Equipment Crop input: Hired labour
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Hiring of other tools/Equipment Crop input: Hired labour Crop input: Pesticides/Herbicides
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Hiring of other tools/Equipment Livestock input: Hired labour
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Livestock purchase
3
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Livestock purchase Crop input: Hired labour
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Livestock purchase Hiring of other tools/Equipment
1
Health care Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Other (specify)
3
Health care Clothing & footwear Household furniture Kitchen utensils Livestock input: Hired labour
1
Health care Clothing & footwear Household furniture Kitchen utensils Livestock purchase
1
Health care Clothing & footwear Household furniture Kitchen utensils Livestock purchase Crop input: Pesticides/Herbicides
1
Health care Clothing & footwear Household furniture Kitchen utensils Livestock purchase Farming implements or tools
1
Health care Clothing & footwear Household furniture Kitchen utensils Other (specify)
2
Health care Clothing & footwear Household furniture Livestock purchase Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Farming implements or tools Business or other non-agricultural inputs Other (specify)
1
Health care Clothing & footwear Household furniture Livestock purchase Farming implements or tools
1
Health care Clothing & footwear Kitchen utensils
79
Health care Clothing & footwear Kitchen utensils Business or other non-agricultural inputs
2
Health care Clothing & footwear Kitchen utensils Crop input: Hired labour
1
Health care Clothing & footwear Kitchen utensils Crop input: Hired labour Crop input: Seeds
1
Health care Clothing & footwear Kitchen utensils Crop input: Hired labour Farming implements or tools Livestock purchase Other (specify) Hiring of other tools/Equipment
1
Health care Clothing & footwear Kitchen utensils Crop input: Hired labour Other (specify)
1
Health care Clothing & footwear Kitchen utensils Crop input: Pesticides/Herbicides Business or other non-agricultural inputs
1
Health care Clothing & footwear Kitchen utensils Crop input: Pesticides/Herbicides Crop input: Hired labour Farming implements or tools
1
Health care Clothing & footwear Kitchen utensils Crop input: Pesticides/Herbicides Crop input: Organic Fertilizer Crop input: Hired labour Hiring of other tools/Equipment
1
Health care Clothing & footwear Kitchen utensils Crop input: Pesticides/Herbicides Farming implements or tools Livestock input:Manufactured feeds/salts Livestock input: Vet services Livestock purchase
1
Health care Clothing & footwear Kitchen utensils Crop input: Pesticides/Herbicides Livestock input:Manufactured feeds/salts Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds
33
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Business or other non-agricultural inputs
4
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock input:Manufactured feeds/salts Livestock input: Vet services Livestock purchase Livest
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock purchase
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock purchase Business or other non-agricultural inputs
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Farming implements or tools Livestock input: Hired labour Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Livestock input: Fodder Hiring of other tools/Equipment Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Farming implements or tools Crop input: Hired labour Livestock purchase Livestock input: Vet services Business or other non-agricultural inputs
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour
16
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour Business or other non-agricultural inputs
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour Business or other non-agricultural inputs Hiring of other tools/Equipment
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour Farming implements or tools Livestock input: Vet services Livestock purchase
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour Hiring of other tools/Equipment
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour Livestock input: Vet services Livestock input: Hired labour Crop input: Pesticides/Herbicides
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour Livestock purchase
3
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour Livestock purchase Other (specify)
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour Other (specify)
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Organic Fertilizer Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock input:Manufactured feeds/salts Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Chemical fertilizers Livestock input: Hired labour
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock purchase
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Organic Fertilizer Farming implements or tools Crop input: Hired labour Livestock purchase Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Farming implements or tools Livestock purchase
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Livestock input: Hired labour Crop input: Hired labour
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Education & school fees
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools
8
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Crop input: Hired labour
2
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Crop input: Hired labour Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Crop input: Hired labour Livestock purchase
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Crop input: Hired labour Other (specify)
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Livestock input:Manufactured feeds/salts Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Livestock purchase
3
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Livestock purchase Other (specify)
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Other (specify)
2
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Hiring of other tools/Equipment
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Household furniture
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Livestock input: Hired labour
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Livestock input: Hired labour Crop input: Hired labour
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Livestock input: Hired labour Crop input: Hired labour Livestock purchase
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Livestock purchase
7
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Livestock purchase Other (specify)
3
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Other (specify)
5
Health care Clothing & footwear Kitchen utensils Crop input: Seeds Other (specify) Livestock purchase Farming implements or tools Crop input: Organic Fertilizer
1
Health care Clothing & footwear Kitchen utensils Farming implements or tools
3
Health care Clothing & footwear Kitchen utensils Farming implements or tools Crop input: Hired labour Crop input: Seeds
1
Health care Clothing & footwear Kitchen utensils Farming implements or tools Crop input: Seeds
2
Health care Clothing & footwear Kitchen utensils Farming implements or tools Livestock input:Manufactured feeds/salts Livestock purchase Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Hiring of other tools/Equipment
1
Health care Clothing & footwear Kitchen utensils Household furniture
4
Health care Clothing & footwear Kitchen utensils Household furniture Crop input: Seeds
1
Health care Clothing & footwear Kitchen utensils Household furniture Crop input: Seeds Crop input: Hired labour
1
Health care Clothing & footwear Kitchen utensils Household furniture Crop input: Seeds Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock input:Manufactured feeds/salts
1
Health care Clothing & footwear Kitchen utensils Household furniture Crop input: Seeds Livestock purchase
1
Health care Clothing & footwear Kitchen utensils Household furniture Farming implements or tools Livestock purchase
1
Health care Clothing & footwear Kitchen utensils Household furniture Livestock purchase Other (specify)
1
Health care Clothing & footwear Kitchen utensils Livestock input: Vet services
2
Health care Clothing & footwear Kitchen utensils Livestock input: Vet services Farming implements or tools Crop input: Seeds
1
Health care Clothing & footwear Kitchen utensils Livestock purchase
10
Health care Clothing & footwear Kitchen utensils Livestock purchase Crop input: Seeds
1
Health care Clothing & footwear Kitchen utensils Livestock purchase Farming implements or tools
1
Health care Clothing & footwear Kitchen utensils Livestock purchase Livestock input: Vet services
1
Health care Clothing & footwear Kitchen utensils Livestock purchase Other (specify)
2
Health care Clothing & footwear Kitchen utensils Other (specify)
10
Health care Clothing & footwear Kitchen utensils Other (specify) Hiring of other tools/Equipment
1
Health care Clothing & footwear Livestock input: Fodder
1
Health care Clothing & footwear Livestock input: Hired labour
4
Health care Clothing & footwear Livestock input: Vet services
4
Health care Clothing & footwear Livestock input: Vet services Crop input: Hired labour Crop input: Seeds
1
Health care Clothing & footwear Livestock input: Vet services Crop input: Seeds
1
Health care Clothing & footwear Livestock input: Vet services Farming implements or tools
1
Health care Clothing & footwear Livestock input: Vet services Livestock input: Hired labour Crop input: Chemical fertilizers
1
Health care Clothing & footwear Livestock input: Vet services Other (specify)
1
Health care Clothing & footwear Livestock purchase
27
Health care Clothing & footwear Livestock purchase Crop input: Hired labour Crop input: Chemical fertilizers Other (specify)
1
Health care Clothing & footwear Livestock purchase Crop input: Hired labour Crop input: Seeds
1
Health care Clothing & footwear Livestock purchase Crop input: Seeds
2
Health care Clothing & footwear Livestock purchase Crop input: Seeds Livestock input: Fodder
1
Health care Clothing & footwear Livestock purchase Farming implements or tools
3
Health care Clothing & footwear Livestock purchase Hiring of other tools/Equipment
1
Health care Clothing & footwear Livestock purchase Kitchen utensils
1
Health care Clothing & footwear Livestock purchase Kitchen utensils Other (specify)
1
Health care Clothing & footwear Livestock purchase Other (specify)
4
Health care Clothing & footwear Livestock purchase Other (specify) Farming implements or tools
1
Health care Clothing & footwear Livestock purchase Other (specify) Kitchen utensils
1
Health care Clothing & footwear Other (specify)
108
Health care Clothing & footwear Other (specify) Crop input: Hired labour
1
Health care Clothing & footwear Other (specify) Crop input: Hired labour Crop input: Seeds
1
Health care Clothing & footwear Other (specify) Crop input: Seeds
5
Health care Clothing & footwear Other (specify) Crop input: Seeds Crop input: Chemical fertilizers
1
Health care Clothing & footwear Other (specify) Crop input: Seeds Crop input: Chemical fertilizers Crop input: Hired labour
1
Health care Clothing & footwear Other (specify) Crop input: Seeds Livestock purchase
1
Health care Clothing & footwear Other (specify) Education & school fees
1
Health care Clothing & footwear Other (specify) Education & school fees Household furniture Kitchen utensils
1
Health care Clothing & footwear Other (specify) Hiring of other tools/Equipment Crop input: Seeds
1
Health care Clothing & footwear Other (specify) Kitchen utensils
2
Health care Clothing & footwear Other (specify) Livestock purchase
4
Health care Clothing & footwear Other (specify) Livestock purchase Kitchen utensils
1
Health care Crop input: Chemical fertilizers
1
Health care Crop input: Chemical fertilizers Crop input: Hired labour
1
Health care Crop input: Chemical fertilizers Crop input: Hired labour Livestock input: Hired labour Livestock input: Vet services
1
Health care Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Other (specify)
1
Health care Crop input: Chemical fertilizers Livestock purchase
1
Health care Crop input: Hired labour
20
Health care Crop input: Hired labour Business or other non-agricultural inputs
2
Health care Crop input: Hired labour Business or other non-agricultural inputs Clothing & footwear Crop input: Seeds
1
Health care Crop input: Hired labour Clothing & footwear
3
Health care Crop input: Hired labour Crop input: Seeds
6
Health care Crop input: Hired labour Crop input: Seeds Clothing & footwear
1
Health care Crop input: Hired labour Crop input: Seeds Crop input: Pesticides/Herbicides
1
Health care Crop input: Hired labour Crop input: Seeds Kitchen utensils
1
Health care Crop input: Hired labour Farming implements or tools
1
Health care Crop input: Hired labour Farming implements or tools Crop input: Seeds Livestock purchase Kitchen utensils Clothing & footwear
1
Health care Crop input: Hired labour Hiring of other tools/Equipment
2
Health care Crop input: Hired labour Livestock input: Hired labour
1
Health care Crop input: Hired labour Livestock input: Vet services
1
Health care Crop input: Hired labour Livestock purchase
1
Health care Crop input: Hired labour Other (specify)
2
Health care Crop input: Organic Fertilizer Livestock input: Vet services
1
Health care Crop input: Pesticides/Herbicides
2
Health care Crop input: Pesticides/Herbicides Livestock purchase
1
Health care Crop input: Seeds
252
Health care Crop input: Seeds Business or other non-agricultural inputs Farming implements or tools Crop input: Hired labour
1
Health care Crop input: Seeds Clothing & footwear
32
Health care Crop input: Seeds Clothing & footwear Crop input: Hired labour Crop input: Pesticides/Herbicides
1
Health care Crop input: Seeds Clothing & footwear Crop input: Hired labour Kitchen utensils
1
Health care Crop input: Seeds Clothing & footwear Farming implements or tools
1
Health care Crop input: Seeds Clothing & footwear Household furniture
1
Health care Crop input: Seeds Clothing & footwear Kitchen utensils
2
Health care Crop input: Seeds Clothing & footwear Livestock input: Vet services
1
Health care Crop input: Seeds Clothing & footwear Livestock purchase
6
Health care Crop input: Seeds Clothing & footwear Livestock purchase Farming implements or tools Other (specify)
1
Health care Crop input: Seeds Clothing & footwear Livestock purchase Other (specify)
1
Health care Crop input: Seeds Clothing & footwear Other (specify)
3
Health care Crop input: Seeds Crop input: Chemical fertilizers
4
Health care Crop input: Seeds Crop input: Chemical fertilizers Crop input: Hired labour Other (specify) Crop input: Pesticides/Herbicides
1
Health care Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Crop input: Hired labour Farming implements or tools Livestock purchase
1
Health care Crop input: Seeds Crop input: Hired labour
13
Health care Crop input: Seeds Crop input: Hired labour Business or other non-agricultural inputs
1
Health care Crop input: Seeds Crop input: Hired labour Crop input: Pesticides/Herbicides Clothing & footwear
1
Health care Crop input: Seeds Crop input: Hired labour Farming implements or tools
1
Health care Crop input: Seeds Crop input: Hired labour Livestock input: Hired labour Clothing & footwear
1
Health care Crop input: Seeds Crop input: Hired labour Livestock input: Vet services
1
Health care Crop input: Seeds Crop input: Hired labour Livestock purchase
1
Health care Crop input: Seeds Crop input: Hired labour None Other (specify)
1
Health care Crop input: Seeds Crop input: Hired labour Other (specify)
1
Health care Crop input: Seeds Crop input: Organic Fertilizer
1
Health care Crop input: Seeds Crop input: Pesticides/Herbicides
6
Health care Crop input: Seeds Crop input: Pesticides/Herbicides Clothing & footwear
1
Health care Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock input: Vet services Hiring of other tools/Equipment
1
Health care Crop input: Seeds Crop input: Pesticides/Herbicides Farming implements or tools Livestock purchase
1
Health care Crop input: Seeds Crop input: Pesticides/Herbicides Kitchen utensils
1
Health care Crop input: Seeds Crop input: Pesticides/Herbicides Livestock purchase Crop input: Hired labour
1
Health care Crop input: Seeds Education & school fees
3
Health care Crop input: Seeds Education & school fees Clothing & footwear Kitchen utensils Crop input: Pesticides/Herbicides Crop input: Hired labour Business or other non-agricultural inputs
1
Health care Crop input: Seeds Farming implements or tools
14
Health care Crop input: Seeds Farming implements or tools Clothing & footwear
1
Health care Crop input: Seeds Farming implements or tools Clothing & footwear Household furniture
1
Health care Crop input: Seeds Farming implements or tools Crop input: Hired labour
1
Health care Crop input: Seeds Farming implements or tools Crop input: Hired labour Livestock purchase Livestock input: Vet services Business or other non-agricultural inputs
1
Health care Crop input: Seeds Farming implements or tools Crop input: Pesticides/Herbicides
1
Health care Crop input: Seeds Farming implements or tools Livestock input: Vet services
1
Health care Crop input: Seeds Farming implements or tools Livestock purchase
4
Health care Crop input: Seeds Farming implements or tools Livestock purchase Clothing & footwear
1
Health care Crop input: Seeds Farming implements or tools Other (specify)
1
Health care Crop input: Seeds Household furniture
1
Health care Crop input: Seeds Household furniture Kitchen utensils Crop input: Hired labour Farming implements or tools
1
Health care Crop input: Seeds Household furniture Livestock input: Vet services
1
Health care Crop input: Seeds Kitchen utensils
1
Health care Crop input: Seeds Kitchen utensils Crop input: Hired labour
1
Health care Crop input: Seeds Kitchen utensils Farming implements or tools Household furniture Clothing & footwear
1
Health care Crop input: Seeds Livestock input: Hired labour
2
Health care Crop input: Seeds Livestock input: Hired labour Clothing & footwear
1
Health care Crop input: Seeds Livestock input: Hired labour Crop input: Pesticides/Herbicides
2
Health care Crop input: Seeds Livestock input: Hired labour Farming implements or tools
1
Health care Crop input: Seeds Livestock input: Vet services
16
Health care Crop input: Seeds Livestock input: Vet services Clothing & footwear
1
Health care Crop input: Seeds Livestock input: Vet services Crop input: Hired labour
1
Health care Crop input: Seeds Livestock purchase
23
Health care Crop input: Seeds Livestock purchase Clothing & footwear
1
Health care Crop input: Seeds Livestock purchase Clothing & footwear Other (specify)
1
Health care Crop input: Seeds Livestock purchase Crop input: Pesticides/Herbicides Clothing & footwear
1
Health care Crop input: Seeds Livestock purchase Farming implements or tools
2
Health care Crop input: Seeds Livestock purchase Hiring of other tools/Equipment
1
Health care Crop input: Seeds Livestock purchase Kitchen utensils
1
Health care Crop input: Seeds Livestock purchase Other (specify)
1
Health care Crop input: Seeds None
1
Health care Crop input: Seeds Other (specify)
96
Health care Crop input: Seeds Other (specify) Clothing & footwear
3
Health care Crop input: Seeds Other (specify) Crop input: Hired labour
3
Health care Crop input: Seeds Other (specify) Education & school fees
3
Health care Crop input: Seeds Other (specify) Farming implements or tools
1
Health care Education & school fees
89
Health care Education & school fees Clothing & footwear
53
Health care Education & school fees Clothing & footwear Business or other non-agricultural inputs
1
Health care Education & school fees Clothing & footwear Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock purchase
1
Health care Education & school fees Clothing & footwear Crop input: Hired labour
3
Health care Education & school fees Clothing & footwear Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock purchase
1
Health care Education & school fees Clothing & footwear Crop input: Pesticides/Herbicides Livestock purchase
1
Health care Education & school fees Clothing & footwear Crop input: Seeds
17
Health care Education & school fees Clothing & footwear Crop input: Seeds Business or other non-agricultural inputs Farming implements or tools
1
Health care Education & school fees Clothing & footwear Crop input: Seeds Crop input: Chemical fertilizers Farming implements or tools Hiring of other tools/Equipment
1
Health care Education & school fees Clothing & footwear Crop input: Seeds Crop input: Hired labour
2
Health care Education & school fees Clothing & footwear Crop input: Seeds Crop input: Hired labour Farming implements or tools Livestock input: Vet services
1
Health care Education & school fees Clothing & footwear Crop input: Seeds Crop input: Hired labour Livestock input: Vet services
2
Health care Education & school fees Clothing & footwear Crop input: Seeds Crop input: Hired labour Livestock purchase
1
Health care Education & school fees Clothing & footwear Crop input: Seeds Crop input: Hired labour Other (specify)
1
Health care Education & school fees Clothing & footwear Crop input: Seeds Crop input: Organic Fertilizer
1
Health care Education & school fees Clothing & footwear Crop input: Seeds Crop input: Pesticides/Herbicides
2
Health care Education & school fees Clothing & footwear Crop input: Seeds Farming implements or tools
1
Health care Education & school fees Clothing & footwear Crop input: Seeds Farming implements or tools Livestock purchase
1
Health care Education & school fees Clothing & footwear Crop input: Seeds Livestock input: Vet services
3
Health care Education & school fees Clothing & footwear Crop input: Seeds Other (specify)
1
Health care Education & school fees Clothing & footwear Farming implements or tools
1
Health care Education & school fees Clothing & footwear Farming implements or tools Crop input: Hired labour Livestock purchase
1
Health care Education & school fees Clothing & footwear Farming implements or tools Crop input: Seeds
1
Health care Education & school fees Clothing & footwear Farming implements or tools Livestock purchase
1
Health care Education & school fees Clothing & footwear Farming implements or tools Livestock purchase Crop input: Seeds Crop input: Hired labour
1
Health care Education & school fees Clothing & footwear Household furniture
6
Health care Education & school fees Clothing & footwear Household furniture Crop input: Seeds
1
Health care Education & school fees Clothing & footwear Household furniture Crop input: Seeds Farming implements or tools
2
Health care Education & school fees Clothing & footwear Household furniture Crop input: Seeds Kitchen utensils
1
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Chemical fertilizers Crop input: Organic Fertilizer Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock p
1
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock input: Vet services Livestock purchase
1
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds
5
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Farming implements or tools Livestock purchase Other (specify)
1
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides
1
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Business or other non-agricultural inputs
1
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock purchase
1
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Farming implements or tools Livestock purchase
1
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Livestock input: Hired labour Other (specify)
1
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Farming implements or tools Livestock input: Vet services
1
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds Livestock purchase
1
Health care Education & school fees Clothing & footwear Household furniture Kitchen utensils Livestock input: Hired labour Livestock purchase
1
Health care Education & school fees Clothing & footwear Kitchen utensils
15
Health care Education & school fees Clothing & footwear Kitchen utensils Business or other non-agricultural inputs
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Hired labour Livestock input: Vet services
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds
3
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock input: Vet services Livestock purc
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock input:Manufactured feeds/salts Liv
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour
2
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour Crop input: Pesticides/Herbicides
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Hired labour Livestock purchase
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Organic Fertilizer Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock input: Vet services Livestock purcha
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock purchase
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour Livestock purchase
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Crop input: Hired labour
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Crop input: Hired labour Livestock purchase
2
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Hiring of other tools/Equipment Crop input: Hired labour
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Livestock input: Vet services Livestock purchase
1
Health care Education & school fees Clothing & footwear Kitchen utensils Crop input: Seeds Livestock purchase
1
Health care Education & school fees Clothing & footwear Kitchen utensils Farming implements or tools
1
Health care Education & school fees Clothing & footwear Kitchen utensils Household furniture
2
Health care Education & school fees Clothing & footwear Kitchen utensils Livestock purchase Business or other non-agricultural inputs Hiring of other tools/Equipment Crop input: Hired labour
1
Health care Education & school fees Clothing & footwear Livestock purchase
1
Health care Education & school fees Crop input: Chemical fertilizers
1
Health care Education & school fees Crop input: Hired labour
3
Health care Education & school fees Crop input: Pesticides/Herbicides
1
Health care Education & school fees Crop input: Pesticides/Herbicides Crop input: Chemical fertilizers Crop input: Organic Fertilizer
1
Health care Education & school fees Crop input: Seeds
11
Health care Education & school fees Crop input: Seeds Crop input: Chemical fertilizers
1
Health care Education & school fees Crop input: Seeds Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Farming implements or tools Livestock purchase
1
Health care Education & school fees Crop input: Seeds Crop input: Chemical fertilizers Farming implements or tools Crop input: Hired labour
1
Health care Education & school fees Crop input: Seeds Crop input: Hired labour
6
Health care Education & school fees Crop input: Seeds Crop input: Organic Fertilizer
1
Health care Education & school fees Crop input: Seeds Crop input: Organic Fertilizer Crop input: Chemical fertilizers
1
Health care Education & school fees Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour
1
Health care Education & school fees Crop input: Seeds Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock purchase
1
Health care Education & school fees Crop input: Seeds Farming implements or tools Business or other non-agricultural inputs
1
Health care Education & school fees Crop input: Seeds Farming implements or tools Crop input: Hired labour
1
Health care Education & school fees Crop input: Seeds Kitchen utensils Clothing & footwear Household furniture Livestock input: Fodder Hiring of other tools/Equipment
1
Health care Education & school fees Crop input: Seeds Kitchen utensils Farming implements or tools Crop input: Hired labour
1
Health care Education & school fees Crop input: Seeds Livestock input: Hired labour
1
Health care Education & school fees Crop input: Seeds Livestock purchase Livestock input: Vet services
1
Health care Education & school fees Crop input: Seeds Other (specify)
1
Health care Education & school fees Farming implements or tools Crop input: Seeds
1
Health care Education & school fees Farming implements or tools Hiring of other tools/Equipment
1
Health care Education & school fees Hiring of other tools/Equipment
1
Health care Education & school fees Household furniture
2
Health care Education & school fees Household furniture Clothing & footwear
1
Health care Education & school fees Household furniture Clothing & footwear Kitchen utensils
1
Health care Education & school fees Kitchen utensils
4
Health care Education & school fees Kitchen utensils Clothing & footwear
1
Health care Education & school fees Kitchen utensils Crop input: Pesticides/Herbicides Farming implements or tools Crop input: Hired labour
1
Health care Education & school fees Kitchen utensils Crop input: Seeds
1
Health care Education & school fees Kitchen utensils Crop input: Seeds Livestock purchase Business or other non-agricultural inputs Crop input: Hired labour Farming implements or tools
1
Health care Education & school fees Kitchen utensils Farming implements or tools
1
Health care Education & school fees Kitchen utensils Hiring of other tools/Equipment
1
Health care Education & school fees Kitchen utensils Livestock purchase
1
Health care Education & school fees Livestock input: Vet services
1
Health care Education & school fees Livestock purchase
1
Health care Education & school fees Livestock purchase Crop input: Hired labour
1
Health care Education & school fees Other (specify)
10
Health care Farming implements or tools
6
Health care Farming implements or tools Clothing & footwear
2
Health care Farming implements or tools Crop input: Hired labour
1
Health care Farming implements or tools Crop input: Hired labour Crop input: Seeds
2
Health care Farming implements or tools Crop input: Seeds
2
Health care Farming implements or tools Education & school fees Crop input: Seeds Clothing & footwear Kitchen utensils Crop input: Pesticides/Herbicides
1
Health care Farming implements or tools Livestock purchase
2
Health care Hiring of other tools/Equipment
4
Health care Hiring of other tools/Equipment Clothing & footwear
3
Health care Hiring of other tools/Equipment Clothing & footwear Household furniture Crop input: Seeds
1
Health care Hiring of other tools/Equipment Livestock input: Hired labour
1
Health care Hiring of other tools/Equipment Livestock purchase Clothing & footwear
1
Health care Hiring of other tools/Equipment Other (specify) Clothing & footwear
1
Health care Household furniture
17
Health care Household furniture Clothing & footwear
2
Health care Household furniture Clothing & footwear Crop input: Seeds
2
Health care Household furniture Clothing & footwear Kitchen utensils
2
Health care Household furniture Clothing & footwear Kitchen utensils Crop input: Seeds Livestock purchase
1
Health care Household furniture Clothing & footwear Livestock input: Vet services
1
Health care Household furniture Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock input: Vet services
1
Health care Household furniture Crop input: Hired labour
1
Health care Household furniture Crop input: Seeds
3
Health care Household furniture Crop input: Seeds Crop input: Hired labour
2
Health care Household furniture Crop input: Seeds Farming implements or tools
1
Health care Household furniture Crop input: Seeds Livestock purchase
2
Health care Household furniture Crop input: Seeds Other (specify)
1
Health care Household furniture Education & school fees Crop input: Seeds Crop input: Organic Fertilizer Crop input: Hired labour Livestock input: Vet services
1
Health care Household furniture Farming implements or tools Crop input: Hired labour
1
Health care Household furniture Farming implements or tools Crop input: Seeds
1
Health care Household furniture Kitchen utensils
4
Health care Household furniture Kitchen utensils Crop input: Hired labour Livestock input: Vet services Livestock input: Hired labour
1
Health care Household furniture Kitchen utensils Crop input: Seeds
1
Health care Household furniture Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides Farming implements or tools Livestock purchase Livestock input: Vet services
1
Health care Household furniture Kitchen utensils Crop input: Seeds Livestock purchase Business or other non-agricultural inputs
1
Health care Household furniture Kitchen utensils Other (specify)
2
Health care Household furniture Livestock input: Hired labour
1
Health care Household furniture Other (specify)
1
Health care Kitchen utensils
21
Health care Kitchen utensils Clothing & footwear
16
Health care Kitchen utensils Clothing & footwear Crop input: Seeds
2
Health care Kitchen utensils Clothing & footwear Crop input: Seeds Crop input: Pesticides/Herbicides Livestock input: Vet services Livestock input: Hired labour Business or other non-agricultural inputs
1
Health care Kitchen utensils Clothing & footwear Crop input: Seeds Farming implements or tools
1
Health care Kitchen utensils Clothing & footwear Crop input: Seeds Livestock purchase
1
Health care Kitchen utensils Clothing & footwear Livestock input: Hired labour
1
Health care Kitchen utensils Clothing & footwear Livestock input: Vet services Crop input: Hired labour
2
Health care Kitchen utensils Clothing & footwear Other (specify)
1
Health care Kitchen utensils Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Livestock input: Vet services Livestock purchase
1
Health care Kitchen utensils Crop input: Hired labour
1
Health care Kitchen utensils Crop input: Pesticides/Herbicides Crop input: Hired labour Livestock input:Manufactured feeds/salts Livestock input: Vet services Livestock input: Hired labour
1
Health care Kitchen utensils Crop input: Seeds
10
Health care Kitchen utensils Crop input: Seeds Clothing & footwear
3
Health care Kitchen utensils Crop input: Seeds Crop input: Hired labour
2
Health care Kitchen utensils Crop input: Seeds Crop input: Hired labour Livestock purchase
1
Health care Kitchen utensils Crop input: Seeds Crop input: Pesticides/Herbicides
1
Health care Kitchen utensils Crop input: Seeds Education & school fees
1
Health care Kitchen utensils Crop input: Seeds Education & school fees Clothing & footwear Crop input: Hired labour
1
Health care Kitchen utensils Crop input: Seeds Farming implements or tools
2
Health care Kitchen utensils Crop input: Seeds Farming implements or tools Livestock purchase
2
Health care Kitchen utensils Crop input: Seeds Farming implements or tools Other (specify)
1
Health care Kitchen utensils Crop input: Seeds Household furniture Livestock purchase
1
Health care Kitchen utensils Crop input: Seeds Livestock purchase
1
Health care Kitchen utensils Crop input: Seeds Livestock purchase Farming implements or tools
1
Health care Kitchen utensils Crop input: Seeds Other (specify)
2
Health care Kitchen utensils Education & school fees
1
Health care Kitchen utensils Education & school fees Crop input: Hired labour Hiring of other tools/Equipment Crop input: Seeds
1
Health care Kitchen utensils Farming implements or tools
3
Health care Kitchen utensils Farming implements or tools Clothing & footwear
1
Health care Kitchen utensils Farming implements or tools Crop input: Seeds
1
Health care Kitchen utensils Household furniture
1
Health care Kitchen utensils Household furniture Clothing & footwear Crop input: Seeds
1
Health care Kitchen utensils Livestock purchase
2
Health care Kitchen utensils Other (specify)
1
Health care Livestock input: Fodder Crop input: Hired labour
1
Health care Livestock input: Fodder Education & school fees
1
Health care Livestock input: Hired labour
2
Health care Livestock input: Hired labour Business or other non-agricultural inputs Clothing & footwear
1
Health care Livestock input: Hired labour Other (specify)
1
Health care Livestock input: Vet services
11
Health care Livestock input: Vet services Clothing & footwear
4
Health care Livestock input: Vet services Clothing & footwear Other (specify)
1
Health care Livestock input: Vet services Crop input: Pesticides/Herbicides
1
Health care Livestock input: Vet services Crop input: Seeds
1
Health care Livestock input: Vet services Crop input: Seeds Clothing & footwear
1
Health care Livestock input: Vet services Education & school fees Crop input: Seeds
1
Health care Livestock input: Vet services Hiring of other tools/Equipment
1
Health care Livestock input: Vet services Kitchen utensils
1
Health care Livestock input: Vet services Livestock input: Hired labour
2
Health care Livestock purchase
30
Health care Livestock purchase Clothing & footwear
6
Health care Livestock purchase Clothing & footwear Farming implements or tools
1
Health care Livestock purchase Clothing & footwear Other (specify)
1
Health care Livestock purchase Crop input: Seeds
4
Health care Livestock purchase Crop input: Seeds Clothing & footwear
1
Health care Livestock purchase Crop input: Seeds Farming implements or tools Clothing & footwear
1
Health care Livestock purchase Farming implements or tools
1
Health care Livestock purchase Farming implements or tools Crop input: Seeds
1
Health care Livestock purchase Kitchen utensils
1
Health care Livestock purchase Kitchen utensils Crop input: Seeds Farming implements or tools
1
Health care Livestock purchase Livestock input: Fodder
1
Health care Livestock purchase Other (specify)
6
Health care Livestock purchase Other (specify) Clothing & footwear
1
Health care Livestock purchase Other (specify) Kitchen utensils Crop input: Seeds
1
Health care None
5
Health care Other (specify)
175
Health care Other (specify) Business or other non-agricultural inputs
1
Health care Other (specify) Clothing & footwear
16
Health care Other (specify) Clothing & footwear Crop input: Seeds
3
Health care Other (specify) Clothing & footwear Hiring of other tools/Equipment
1
Health care Other (specify) Clothing & footwear Household furniture Kitchen utensils Crop input: Seeds
1
Health care Other (specify) Clothing & footwear Kitchen utensils
2
Health care Other (specify) Crop input: Chemical fertilizers Crop input: Seeds Crop input: Hired labour
1
Health care Other (specify) Crop input: Hired labour
3
Health care Other (specify) Crop input: Hired labour Crop input: Pesticides/Herbicides
1
Health care Other (specify) Crop input: Pesticides/Herbicides
1
Health care Other (specify) Crop input: Seeds
28
Health care Other (specify) Crop input: Seeds Clothing & footwear
2
Health care Other (specify) Crop input: Seeds Crop input: Hired labour
1
Health care Other (specify) Crop input: Seeds Education & school fees
1
Health care Other (specify) Crop input: Seeds Kitchen utensils
1
Health care Other (specify) Crop input: Seeds Livestock purchase
1
Health care Other (specify) Education & school fees
1
Health care Other (specify) Farming implements or tools Clothing & footwear
1
Health care Other (specify) Household furniture
1
Health care Other (specify) Kitchen utensils
1
Health care Other (specify) Kitchen utensils Household furniture Clothing & footwear
1
Health care Other (specify) Livestock purchase
7
Health care Other (specify) Livestock purchase Business or other non-agricultural inputs
1
Health care Other (specify) Livestock purchase Clothing & footwear
1
Health care Other (specify) Livestock purchase Household furniture Crop input: Seeds
1
Hiring of other tools/Equipment
1
Hiring of other tools/Equipment Crop input: Seeds
1
Hiring of other tools/Equipment Kitchen utensils Health care
1
Hiring of other tools/Equipment Livestock input: Hired labour Health care
1
Hiring of other tools/Equipment Other (specify)
1
Household furniture
4
Household furniture Crop input: Seeds
1
Household furniture Health care
3
Household furniture Health care Clothing & footwear Other (specify)
1
Household furniture Health care Crop input: Seeds
1
Kitchen utensils
22
Kitchen utensils Clothing & footwear
2
Kitchen utensils Clothing & footwear Crop input: Seeds Crop input: Hired labour
1
Kitchen utensils Clothing & footwear Education & school fees Health care
1
Kitchen utensils Clothing & footwear Health care
1
Kitchen utensils Clothing & footwear Health care Crop input: Seeds
1
Kitchen utensils Crop input: Pesticides/Herbicides
1
Kitchen utensils Crop input: Seeds
5
Kitchen utensils Crop input: Seeds Clothing & footwear
1
Kitchen utensils Crop input: Seeds Clothing & footwear Farming implements or tools Crop input: Hired labour
1
Kitchen utensils Crop input: Seeds Crop input: Chemical fertilizers
1
Kitchen utensils Crop input: Seeds Crop input: Hired labour
1
Kitchen utensils Crop input: Seeds Crop input: Hired labour Clothing & footwear Health care Livestock input: Vet services Farming implements or tools Crop input: Pesticides/Herbicides Crop input: Organic Fertilizer Crop input: Chemical fertilizers
1
Kitchen utensils Crop input: Seeds Health care
1
Kitchen utensils Crop input: Seeds Livestock purchase Farming implements or tools Health care
1
Kitchen utensils Crop input: Seeds Other (specify)
1
Kitchen utensils Health care
3
Kitchen utensils Health care Clothing & footwear
5
Kitchen utensils Health care Clothing & footwear Crop input: Seeds
1
Kitchen utensils Health care Clothing & footwear Crop input: Seeds Livestock input: Vet services
1
Kitchen utensils Health care Education & school fees Clothing & footwear
1
Kitchen utensils Household furniture
2
Kitchen utensils Household furniture Crop input: Seeds
1
Kitchen utensils Livestock purchase
1
Kitchen utensils Other (specify)
1
Livestock input: Fodder
1
Livestock input: Fodder Health care
1
Livestock input: Hired labour Health care
1
Livestock input: Vet services
2
Livestock input: Vet services Clothing & footwear
1
Livestock input: Vet services Crop input: Seeds
1
Livestock input: Vet services Health care Clothing & footwear
1
Livestock input: Vet services Health care Crop input: Seeds
2
Livestock input:Manufactured feeds/salts Crop input: Seeds
1
Livestock purchase
20
Livestock purchase Clothing & footwear
2
Livestock purchase Clothing & footwear Education & school fees
1
Livestock purchase Crop input: Seeds
1
Livestock purchase Crop input: Seeds Crop input: Hired labour Health care Other (specify)
1
Livestock purchase Health care
4
Livestock purchase Health care Clothing & footwear
2
Livestock purchase Health care Crop input: Seeds
1
Livestock purchase Health care Hiring of other tools/Equipment
1
Livestock purchase Household furniture Clothing & footwear
1
Livestock purchase Livestock input: Hired labour Crop input: Seeds
1
Livestock purchase Other (specify) Health care
1
Livestock purchase Other (specify) Health care Crop input: Seeds Crop input: Hired labour
1
None
675
None Clothing & footwear
7
None Clothing & footwear Household furniture
1
None Crop input: Hired labour
1
None Crop input: Seeds
2
None Education & school fees Health care
1
None Farming implements or tools
1
None Health care
9
None Health care Clothing & footwear
1
None Health care Crop input: Seeds
1
None Health care Education & school fees
1
None Other (specify)
1
Other (specify)
196
Other (specify) Clothing & footwear
11
Other (specify) Clothing & footwear Business or other non-agricultural inputs
1
Other (specify) Clothing & footwear Crop input: Seeds
1
Other (specify) Clothing & footwear Crop input: Seeds Crop input: Pesticides/Herbicides
1
Other (specify) Clothing & footwear Health care
7
Other (specify) Clothing & footwear Health care Crop input: Seeds Crop input: Hired labour
1
Other (specify) Clothing & footwear Health care Kitchen utensils Crop input: Seeds Farming implements or tools Livestock purchase
1
Other (specify) Clothing & footwear Household furniture
1
Other (specify) Clothing & footwear Household furniture Livestock purchase
1
Other (specify) Clothing & footwear Kitchen utensils
1
Other (specify) Clothing & footwear Livestock purchase
1
Other (specify) Crop input: Hired labour
5
Other (specify) Crop input: Hired labour Crop input: Seeds
1
Other (specify) Crop input: Pesticides/Herbicides Crop input: Chemical fertilizers Crop input: Seeds Clothing & footwear
1
Other (specify) Crop input: Seeds
2
Other (specify) Crop input: Seeds Crop input: Pesticides/Herbicides Livestock purchase
1
Other (specify) Health care
31
Other (specify) Health care Clothing & footwear
7
Other (specify) Health care Clothing & footwear Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides Livestock input: Vet services Livestock purchase
1
Other (specify) Health care Clothing & footwear Crop input: Hired labour
2
Other (specify) Health care Clothing & footwear Crop input: Seeds
4
Other (specify) Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour
1
Other (specify) Health care Clothing & footwear Crop input: Seeds Crop input: Hired labour Farming implements or tools Livestock purchase Business or other non-agricultural inputs Crop input: Chemical fertilizers Crop input: Pesticides/Herbicides
1
Other (specify) Health care Clothing & footwear Crop input: Seeds Farming implements or tools Kitchen utensils
1
Other (specify) Health care Clothing & footwear Kitchen utensils Crop input: Seeds Farming implements or tools Crop input: Hired labour
1
Other (specify) Health care Clothing & footwear Livestock purchase
3
Other (specify) Health care Crop input: Hired labour
2
Other (specify) Health care Crop input: Seeds
6
Other (specify) Health care Crop input: Seeds Clothing & footwear
1
Other (specify) Health care Crop input: Seeds Crop input: Hired labour
1
Other (specify) Health care Crop input: Seeds Livestock purchase
1
Other (specify) Health care Education & school fees
2
Other (specify) Health care Farming implements or tools
2
Other (specify) Health care Livestock purchase Clothing & footwear
1
Other (specify) Hiring of other tools/Equipment
1
Other (specify) Hiring of other tools/Equipment Business or other non-agricultural inputs Health care Clothing & footwear Livestock purchase
1
Other (specify) Household furniture
1
Other (specify) Kitchen utensils Crop input: Seeds
1
Other (specify) Livestock purchase Crop input: Seeds Health care Clothing & footwear Crop input: Hired labour
1
10
0
Livestock input: Hired labour
1
Vet services Livestock input: Hired labour
1
ck input: Vet services Livestock purchase
1
estock input: Vet services
1
estock purchase
1
hase
1
ock input: Hired labour
1
se
1
tock input:Manufactured feeds/salts Livestock input: Vet services
1
urchase
1
Which of the following did the household spend on in the LAST 12 months?/Health
5636
0
0
1
0.724
0.447
0
1554
1
4082
Which of the following did the household spend on in the LAST 12 months?/Educati
5636
0
0
1
0.0898
0.286
0
5130
1
506
Which of the following did the household spend on in the LAST 12 months?/Clothin
5636
0
0
1
0.417
0.493
0
3286
1
2350
Which of the following did the household spend on in the LAST 12 months?/Househo
5636
0
0
1
0.049
0.216
0
5360
1
276
Which of the following did the household spend on in the LAST 12 months?/Kitchen
5636
0
0
1
0.128
0.334
0
4916
1
720
Which of the following did the household spend on in the LAST 12 months?/Crop in
5636
0
0
1
0.303
0.46
0
3927
1
1709
Which of the following did the household spend on in the LAST 12 months?/Crop in
5636
0
0
1
0.0131
0.114
0
5562
1
74
Which of the following did the household spend on in the LAST 12 months?/Crop in
5636
0
0
1
0.00568
0.0751
0
5604
1
32
Which of the following did the household spend on in the LAST 12 months?/Crop in
5636
0
0
1
0.0289
0.168
0
5473
1
163
Which of the following did the household spend on in the LAST 12 months?/Farming
5636
0
0
1
0.0548
0.228
0
5327
1
309
Which of the following did the household spend on in the LAST 12 months?/Crop in
5636
0
0
1
0.0735
0.261
0
5222
1
414
Which of the following did the household spend on in the LAST 12 months?/Livesto
5636
0
0
1
0.00177
0.0421
0
5626
1
10
Which of the following did the household spend on in the LAST 12 months?/Livesto
5636
0
0
1
0.00408
0.0638
0
5613
1
23
Which of the following did the household spend on in the LAST 12 months?/Livesto
5636
0
0
1
0.0309
0.173
0
5462
1
174
Which of the following did the household spend on in the LAST 12 months?/Livesto
5636
0
0
1
0.0103
0.101
0
5578
1
58
Which of the following did the household spend on in the LAST 12 months?/Livesto
5636
0
0
1
0.0818
0.274
0
5175
1
461
Which of the following did the household spend on in the LAST 12 months?/Hiring
5636
0
0
1
0.013
0.113
0
5563
1
73
Which of the following did the household spend on in the LAST 12 months?/Busines
5636
0
0
1
0.0185
0.135
0
5532
1
104
Which of the following did the household spend on in the LAST 12 months?/Other (
5636
0
0
1
0.188
0.391
0
4577
1
1059
Which of the following did the household spend on in the LAST 12 months?/None
5636
0
0
1
0.127
0.332
0
4923
1
713
Specify other Income Source:
1059
0
Alcohol
1
Aquiring food
1
Bought a Mattress
1
Bought grass for building house or roofing
1
Brought grass for roofing
1
Building materials
1
Burial expenses
1
Buying Bicycle.
1
Buying Diet (meat, fish)
1
Buying Food
5
1
Buying diet
2
Buying fire wood
1
Buying fishing equipment
1
Buying food
46
Buying food and vegetables
1
Buying food for family
1
Buying food for home consumption
18
Buying food items
2
Buying food stuff
1
Buying food to change diet
1
Buying foods
2
Buying grass for repairing house roof
1
Buying house equipment
1
Buying meat, vegetables,fish
1
Buying more food for home consumption
1
Changing diet say buying like meat and fish
1
Charcoal
6
Charcoal and firewood
1
Charcoal and food
1
Charcoal, food
1
Construction of garden fences from cattle
1
Construction of house
1
Construction of the house,Food
1
Diet
1
FOOD
4
Feeding
17
Feeding and other necessities
1
Feeding family
4
Feeding for family
1
Feeding household
1
Feeding the family
8
Feeding thefamily
2
Feeeding the family
1
Firewood
4
Firewood and Food
1
Food
701
1
1
1
Food , hiring land for agriculture
1
Food ,charcoal
1
Food and charcoal
2
Food and fire wood
1
Food and other things to use at home
1
Food and plot of land
1
Food and renting land for agriculture
1
Food for balance diet .
1
Food for eating
11
1
Food for home consumption
1
Food for household
1
Food items
1
Food purchase
3
Food ratio
1
Food to eat
3
Food to eat because they have no garden
1
Food, Charcoal
1
Food, Charcoal and Firewood
1
Food, Rent
2
Food, TV subscription
1
Food, firewood, charcoal
1
Foot for eating
1
For food
1
Grass for repairing the house roof
1
Grinding
1
Grinding the maize and buying diet(meat and fish)
1
Grinding,buying soap
1
Hire Land
1
Hire of land
7
Hire of land for agricultural
1
1
1
Hired labour for digging
11
1
Hired labour for digging the land
1
Hired tractor and people for land digging
1
Hiring
1
Hiring and for agriculture
1
Hiring farm land
4
Hiring farmland
1
Hiring labour
1
Hiring land
7
Hiring land for agriculture
4
1
Home electronics
1
House construction
1
House hold expenses
2
House hold items
1
House utilities
2
1
Household expenses
2
Household food
2
Household utilities like soap,food
1
Iron sheets
1
Labour
1
Land
1
Land hire
3
Land hiring
1
Land lease
1
Land rent
1
Molasses
1
Motocycle repair
1
Other upkeep
1
Other utilities at house like sugar, Tea Leaves
1
Paying debts
1
Payment of loans
1
Phone
1
Produce business
1
Purchase of building materials
1
Purchase of food
5
Purchase of food since they were chased away from their gardens
1
Purchasing food
1
Renovating house
1
Rent
9
Rent for boutique business
1
Rent for irish
1
Rent for land
3
Rent for land and house
1
Rent for land and housing
1
Rent land and housing
1
Rent of land
3
Rent of land and house
1
Rent of the land
1
Rent, Food
1
Renting farm land
1
Renting garden
2
Renting land
28
1
Renting land for agricultural purposes
1
Renting land for farming
1
Renting of land
2
Roofing of their house
1
Saloon (shaving)
1
Servicing Automotive
1
Solar battery
1
Some food they don't have
1
1
Transport
1
1
Tree Poles for house construction
1
Tree Poles for house roofing
1
1
Water
2
Water , buying firewood
1
1
4082
1554
0
15000000
237455.128
546465.353
506
5130
0
12000000
477531.421
1135568.337
2350
3286
0
2500000
138917.526
175886.437
276
5360
0
3300000
139303.986
306234.763
720
4916
0
1800000
57257.597
117704.516
1709
3927
0
2400000
83326.307
144009.184
e5_6. From who did you buy most of the [Crop input: Seeds]
1704
0
Native households
399
Native households Other refugee households
9
Native households Traders
31
Other (specify)
4
Other refugee households
139
Other refugee households Native households
11
Other refugee households Native households Traders
1
Other refugee households Traders
6
Traders
1079
Traders Native households
22
Traders Other refugee households
2
Traders Other refugee households Native households
1
e5_6. From who did you buy most of the [Crop input: Seeds]/Other refugee househo
1704
3932
0
1
0.0992
0.299
0
1535
1
169
Sysmiss
3932
e5_6. From who did you buy most of the [Crop input: Seeds]/Native households
1704
3932
0
1
0.278
0.448
0
1230
1
474
Sysmiss
3932
e5_6. From who did you buy most of the [Crop input: Seeds]/Traders
1704
3932
0
1
0.67
0.47
0
562
1
1142
Sysmiss
3932
e5_6. From who did you buy most of the [Crop input: Seeds]/Other (specify)
1704
3932
0
1
0.00235
0.0484
0
1700
1
4
Sysmiss
3932
Specify other:
4
0
Camp
1
Farm institute calked Umba
1
Kitugum Town
1
Umba
1
What percentage did you buy from [other refugee households]?
169
5467
20
100
90.769
20.463
What percentage did you buy from [native households] ?
474
5162
10
100
90.916
20.558
What percentage did you buy from [traders] ?
1142
4494
5
100
93.584
17.627
What percentage did you buy from ${e5_6other} ?
4
5632
80
100
95
10
80
1
100
3
Sysmiss
5632
e6_6. Where did you buy most of the [Crop input: Seeds]?
1704
0
Closest town
207
Closest town Here
2
Closest town Here Neighbouring village
1
Closest town Neighbouring village
5
Closest town Neighbouring village Trade centres
1
Closest town Trade centres
4
Here
418
Here Closest town
5
Here Itinerant trader
1
Here Neighbouring village
12
Here Neighbouring village Closest town
2
Here Neighbouring village Trade centres
4
Here Trade centres
23
Here Trade centres Itinerant trader
1
Here Trade centres Neighbouring village Closest town
1
Itinerant trader
5
Itinerant trader Trade centres
1
Neighbouring village
127
Neighbouring village Closest town
5
Neighbouring village Here
14
Neighbouring village Here Closest town
1
Neighbouring village Here Trade centres
1
Neighbouring village Trade centres
8
Neighbouring village Trade centres Itinerant trader
1
Other
6
Trade centres
815
Trade centres Closest town
9
Trade centres Closest town Here
1
Trade centres Here
8
Trade centres Itinerant trader
1
Trade centres Neighbouring village
13
Trade centres Neighbouring village Here
1
e6_6. Where did you buy most of the [Crop input: Seeds]?/Here
1704
3932
0
1
0.291
0.454
0
1208
1
496
Sysmiss
3932
e6_6. Where did you buy most of the [Crop input: Seeds]?/Neighbouring village
1704
3932
0
1
0.116
0.32
0
1507
1
197
Sysmiss
3932
e6_6. Where did you buy most of the [Crop input: Seeds]?/Closest town
1704
3932
0
1
0.143
0.35
0
1460
1
244
Sysmiss
3932
e6_6. Where did you buy most of the [Crop input: Seeds]?/Trade centres
1704
3932
0
1
0.524
0.5
0
811
1
893
Sysmiss
3932
e6_6. Where did you buy most of the [Crop input: Seeds]?/Itinerant trader
1704
3932
0
1
0.00587
0.0764
0
1694
1
10
Sysmiss
3932
e6_6. Where did you buy most of the [Crop input: Seeds]?/Other
1704
3932
0
1
0.00352
0.0593
0
1698
1
6
Sysmiss
3932
Specify other:16
6
0
Given by the company
1
Host community
1
In mbarara
1
Market
3
74
5562
0
3600000
141182.432
415543.196
e5_7. From who did you buy most of the [Crop input: Chemical fertilizer]
73
0
Native households
7
Other (specify)
2
Other refugee households
5
Other refugee households Traders
1
Traders
58
e5_7. From who did you buy most of the [Crop input: Chemical fertilizer]/Other r
73
5563
0
1
0.0822
0.277
0
67
1
6
Sysmiss
5563
e5_7. From who did you buy most of the [Crop input: Chemical fertilizer]/Native
73
5563
0
1
0.0959
0.296
0
66
1
7
Sysmiss
5563
e5_7. From who did you buy most of the [Crop input: Chemical fertilizer]/Traders
73
5563
0
1
0.808
0.396
0
14
1
59
Sysmiss
5563
e5_7. From who did you buy most of the [Crop input: Chemical fertilizer]/Other (
73
5563
0
1
0.0274
0.164
0
71
1
2
Sysmiss
5563
Specify other:17
2
0
Hoima
1
Organisation called youths MTC
1
What percentage did you buy from [other refugee households]?18
6
5630
40
100
90
24.495
What percentage did you buy from [native households] ?19
7
5629
100
100
100
0
100
7
Sysmiss
5629
What percentage did you buy from [traders] ?20
59
5577
12
100
95.288
16.365
What percentage did you buy from ${e5_7other} ?
2
5634
70
100
85
21.213
e6_7. Where did you buy most of the [Crop input: Chemical fertilizer]?
73
0
Closest town
26
Here
9
Here Closest town Neighbouring village
1
Neighbouring village
2
Other
3
Trade centres
30
Trade centres Closest town
1
Trade centres Neighbouring village
1
e6_7. Where did you buy most of the [Crop input: Chemical fertilizer]?/Here
73
5563
0
1
0.137
0.346
0
63
1
10
Sysmiss
5563
e6_7. Where did you buy most of the [Crop input: Chemical fertilizer]?/Neighbour
73
5563
0
1
0.0548
0.229
0
69
1
4
Sysmiss
5563
e6_7. Where did you buy most of the [Crop input: Chemical fertilizer]?/Closest t
73
5563
0
1
0.384
0.49
0
45
1
28
Sysmiss
5563
e6_7. Where did you buy most of the [Crop input: Chemical fertilizer]?/Trade cen
73
5563
0
1
0.438
0.5
0
41
1
32
Sysmiss
5563
e6_7. Where did you buy most of the [Crop input: Chemical fertilizer]?/Itinerant
73
5563
0
0
0
0
0
73
Sysmiss
5563
e6_7. Where did you buy most of the [Crop input: Chemical fertilizer]?/Other
73
5563
0
1
0.0411
0.2
0
70
1
3
Sysmiss
5563
Specify other:21
3
0
Arua city
1
Foreign Aid
1
Hoima District
1
32
5604
0
6000000
393034.375
1239605.639
e5_8. From who did you buy most of the [Crop input: organic fertilizer]
31
0
Native households
7
Native households Traders
1
Other (specify)
3
Traders
20
e5_8. From who did you buy most of the [Crop input: organic fertilizer]/Other re
31
5605
0
0
0
0
0
31
Sysmiss
5605
e5_8. From who did you buy most of the [Crop input: organic fertilizer]/Native h
31
5605
0
1
0.258
0.445
0
23
1
8
Sysmiss
5605
e5_8. From who did you buy most of the [Crop input: organic fertilizer]/Traders
31
5605
0
1
0.677
0.475
0
10
1
21
Sysmiss
5605
e5_8. From who did you buy most of the [Crop input: organic fertilizer]/Other (s
31
5605
0
1
0.0968
0.301
0
28
1
3
Sysmiss
5605
Specify other:22
3
0
Cattle keepers
1
Host community
1
NAADs office in Abi farm from Arua
1
What percentage did you buy from [native households] ?23
8
5628
50
100
93.75
17.678
What percentage did you buy from [traders] ?24
21
5615
50
100
95.238
15.04
What percentage did you buy from ${e5_8other} ?
3
5633
65
100
88.333
20.207
e6_8. Where did you buy most of the [Crop input: organic fertilizer]?
31
0
Closest town
8
Here
7
Here Closest town
1
Neighbouring village
6
Other
1
Trade centres
8
e6_8. Where did you buy most of the [Crop input: organic fertilizer]?/Here
31
5605
0
1
0.258
0.445
0
23
1
8
Sysmiss
5605
e6_8. Where did you buy most of the [Crop input: organic fertilizer]?/Neighbouri
31
5605
0
1
0.194
0.402
0
25
1
6
Sysmiss
5605
e6_8. Where did you buy most of the [Crop input: organic fertilizer]?/Closest to
31
5605
0
1
0.29
0.461
0
22
1
9
Sysmiss
5605
e6_8. Where did you buy most of the [Crop input: organic fertilizer]?/Trade cent
31
5605
0
1
0.258
0.445
0
23
1
8
Sysmiss
5605
e6_8. Where did you buy most of the [Crop input: organic fertilizer]?/Itinerant
31
5605
0
0
0
0
0
31
Sysmiss
5605
e6_8. Where did you buy most of the [Crop input: organic fertilizer]?/Other
31
5605
0
1
0.0323
0.18
0
30
1
1
Sysmiss
5605
Specify other:25
1
0
Host community
1
163
5473
0
3000000
99577.914
259573.51
e5_9. From who did you buy most of the [Crop input: pesticides/herbicides]
161
0
Native households
14
Native households Traders
2
Other (specify)
4
Other refugee households
11
Traders
129
Traders Native households
1
e5_9. From who did you buy most of the [Crop input: pesticides/herbicides]/Other
161
5475
0
1
0.0683
0.253
0
150
1
11
Sysmiss
5475
e5_9. From who did you buy most of the [Crop input: pesticides/herbicides]/Nativ
161
5475
0
1
0.106
0.308
0
144
1
17
Sysmiss
5475
e5_9. From who did you buy most of the [Crop input: pesticides/herbicides]/Trade
161
5475
0
1
0.82
0.385
0
29
1
132
Sysmiss
5475
e5_9. From who did you buy most of the [Crop input: pesticides/herbicides]/Other
161
5475
0
1
0.0248
0.156
0
157
1
4
Sysmiss
5475
Specify other:26
4
0
Kitugum Town
1
Organisation called MTC company
1
Umba
1
Veterinary shops
1
What percentage did you buy from [other refugee households] ?27
11
5625
100
100
100
0
100
11
Sysmiss
5625
What percentage did you buy from [native households] ?28
17
5619
0.3
100
87.076
30.105
What percentage did you buy from [traders] ?29
132
5504
0.7
100
98.149
10.713
What percentage did you buy from ${e5_9other} ?
4
5632
75
100
87.5
14.434
e6_9. Where did you buy most of the [Crop input: pesticides/herbicides]?
161
0
Closest town
51
Here
21
Here Closest town
1
Here Neighbouring village Trade centres
1
Itinerant trader
1
Neighbouring village
7
Trade centres
74
Trade centres Closest town
4
Trade centres Itinerant trader Here
1
e6_9. Where did you buy most of the [Crop input: pesticides/herbicides]?/Here
161
5475
0
1
0.149
0.357
0
137
1
24
Sysmiss
5475
e6_9. Where did you buy most of the [Crop input: pesticides/herbicides]?/Neighbo
161
5475
0
1
0.0497
0.218
0
153
1
8
Sysmiss
5475
e6_9. Where did you buy most of the [Crop input: pesticides/herbicides]?/Closest
161
5475
0
1
0.348
0.478
0
105
1
56
Sysmiss
5475
e6_9. Where did you buy most of the [Crop input: pesticides/herbicides]?/Trade c
161
5475
0
1
0.497
0.502
0
81
1
80
Sysmiss
5475
e6_9. Where did you buy most of the [Crop input: pesticides/herbicides]?/Itinera
161
5475
0
1
0.0124
0.111
0
159
1
2
Sysmiss
5475
e6_9. Where did you buy most of the [Crop input: pesticides/herbicides]?/Other
161
5475
0
0
0
0
0
161
Sysmiss
5475
309
5327
0
600000
43652.913
64058.796
e5_10. From who did you buy most of the [Farming implements or tools]
308
0
Native households
32
Native households Traders
2
Other refugee households
24
Other refugee households Native households
2
Other refugee households Traders
1
Traders
243
Traders Native households
2
Traders Other refugee households
2
e5_10. From who did you buy most of the [Farming implements or tools]/Other refu
308
5328
0
1
0.0942
0.293
0
279
1
29
Sysmiss
5328
e5_10. From who did you buy most of the [Farming implements or tools]/Native hou
308
5328
0
1
0.123
0.329
0
270
1
38
Sysmiss
5328
e5_10. From who did you buy most of the [Farming implements or tools]/Traders
308
5328
0
1
0.812
0.392
0
58
1
250
Sysmiss
5328
e5_10. From who did you buy most of the [Farming implements or tools]/Other (spe
308
5328
0
0
0
0
0
308
Sysmiss
5328
What percentage did you buy from [other refugee households] ?32
29
5607
26
100
90.897
21.854
What percentage did you buy from [native households] ?33
38
5598
20
100
91.579
20.603
What percentage did you buy from [traders] ?34
250
5386
20
100
98.416
8.526
e6_10. Where did you buy most of the [Farming implements or tools]?
308
0
Closest town
72
Closest town Trade centres
1
Here
48
Here Closest town
1
Here Itinerant trader
1
Here Neighbouring village
1
Here Trade centres
2
Here Trade centres Closest town
1
Neighbouring village
11
Neighbouring village Here
1
Neighbouring village Trade centres
3
Trade centres
164
Trade centres Itinerant trader
1
Trade centres Neighbouring village
1
e6_10. Where did you buy most of the [Farming implements or tools]?/Here
308
5328
0
1
0.179
0.384
0
253
1
55
Sysmiss
5328
e6_10. Where did you buy most of the [Farming implements or tools]?/Neighbouring
308
5328
0
1
0.0552
0.229
0
291
1
17
Sysmiss
5328
e6_10. Where did you buy most of the [Farming implements or tools]?/Closest town
308
5328
0
1
0.244
0.43
0
233
1
75
Sysmiss
5328
e6_10. Where did you buy most of the [Farming implements or tools]?/Trade centre
308
5328
0
1
0.562
0.497
0
135
1
173
Sysmiss
5328
e6_10. Where did you buy most of the [Farming implements or tools]?/Itinerant tr
308
5328
0
1
0.00649
0.0805
0
306
1
2
Sysmiss
5328
e6_10. Where did you buy most of the [Farming implements or tools]?/Other
308
5328
0
0
0
0
0
308
Sysmiss
5328
414
5222
0
6000000
313820.773
559365.798
e5_11. From who did you buy most of the [Crop input: Hired labour]
413
0
Native households
210
Native households Other refugee households
33
Native households Traders
1
Other (specify)
2
Other refugee households
107
Other refugee households Native households
31
Other refugee households Other (specify)
1
Traders
27
Traders Native households
1
e5_11. From who did you buy most of the [Crop input: Hired labour]/Other refugee
413
5223
0
1
0.416
0.494
0
241
1
172
Sysmiss
5223
e5_11. From who did you buy most of the [Crop input: Hired labour]/Native househ
413
5223
0
1
0.668
0.471
0
137
1
276
Sysmiss
5223
e5_11. From who did you buy most of the [Crop input: Hired labour]/Traders
413
5223
0
1
0.0702
0.256
0
384
1
29
Sysmiss
5223
e5_11. From who did you buy most of the [Crop input: Hired labour]/Other (specif
413
5223
0
1
0.00726
0.085
0
410
1
3
Sysmiss
5223
Specify other:36
3
0
1
Neighboring village
1
Tractor
1
What percentage did you buy from [other refugee households] ?37
172
5464
10
100
80.625
25.923
What percentage did you buy from[native households] ?
276
5360
15
100
86.549
23.423
What percentage did you buy from [traders] ?38
29
5607
30
100
87.759
23.052
What percentage did you buy from ${e5_11other}?
3
5633
40
100
70
30
e6_11. Where did you buy most of the [Crop input: Hired labour] ?
413
0
Closest town
4
Closest town Neighbouring village
1
Here
258
Here Closest town
2
Here Closest town Neighbouring village
2
Here Neighbouring village
37
Here Neighbouring village Closest town
1
Here Neighbouring village Trade centres
1
Here Trade centres
3
Itinerant trader
1
Neighbouring village
54
Neighbouring village Closest town
1
Neighbouring village Here
19
Neighbouring village Trade centres
1
Neighbouring village Trade centres Closest town
1
Trade centres
24
Trade centres Closest town Neighbouring village Here
1
Trade centres Here
1
Trade centres Neighbouring village
1
e6_11. Where did you buy most of the [Crop input: Hired labour] ?/Here
413
5223
0
1
0.787
0.41
0
88
1
325
Sysmiss
5223
e6_11. Where did you buy most of the [Crop input: Hired labour] ?/Neighbouring v
413
5223
0
1
0.291
0.455
0
293
1
120
Sysmiss
5223
e6_11. Where did you buy most of the [Crop input: Hired labour] ?/Closest town
413
5223
0
1
0.0315
0.175
0
400
1
13
Sysmiss
5223
e6_11. Where did you buy most of the [Crop input: Hired labour] ?/Trade centres
413
5223
0
1
0.0799
0.271
0
380
1
33
Sysmiss
5223
e6_11. Where did you buy most of the [Crop input: Hired labour] ?/Itinerant trad
413
5223
0
1
0.00242
0.0492
0
412
1
1
Sysmiss
5223
e6_11. Where did you buy most of the [Crop input: Hired labour] ?/Other
413
5223
0
0
0
0
0
413
Sysmiss
5223
10
5626
10000
250000
105500
92449.686
e5_12. From who did you buy most of the [Livestock input: Fodder]
10
0
Native households
2
Other refugee households
6
Traders
2
e5_12. From who did you buy most of the [Livestock input: Fodder]/Other refugee
10
5626
0
1
0.6
0.516
0
4
1
6
Sysmiss
5626
e5_12. From who did you buy most of the [Livestock input: Fodder]/Native househo
10
5626
0
1
0.2
0.422
0
8
1
2
Sysmiss
5626
e5_12. From who did you buy most of the [Livestock input: Fodder]/Traders
10
5626
0
1
0.2
0.422
0
8
1
2
Sysmiss
5626
e5_12. From who did you buy most of the [Livestock input: Fodder]/Other (specify
10
5626
0
0
0
0
0
10
Sysmiss
5626
What percentage did you buy from [other refugee households] ?41
6
5630
100
100
100
0
100
6
Sysmiss
5630
What percentage did you buy from [native households] ?42
2
5634
100
100
100
0
100
2
Sysmiss
5634
What percentage did you buy from [traders] ?43
2
5634
100
100
100
0
100
2
Sysmiss
5634
e6_12. Where did you buy most of the [Livestock input: Fodder]?
10
0
Closest town
1
Closest town Trade centres
1
Here
8
e6_12. Where did you buy most of the [Livestock input: Fodder]?/Here
10
5626
0
1
0.8
0.422
0
2
1
8
Sysmiss
5626
e6_12. Where did you buy most of the [Livestock input: Fodder]?/Neighbouring vil
10
5626
0
0
0
0
0
10
Sysmiss
5626
e6_12. Where did you buy most of the [Livestock input: Fodder]?/Closest town
10
5626
0
1
0.2
0.422
0
8
1
2
Sysmiss
5626
e6_12. Where did you buy most of the [Livestock input: Fodder]?/Trade centres
10
5626
0
1
0.1
0.316
0
9
1
1
Sysmiss
5626
e6_12. Where did you buy most of the [Livestock input: Fodder]?/Itinerant trader
10
5626
0
0
0
0
0
10
Sysmiss
5626
e6_12. Where did you buy most of the [Livestock input: Fodder]?/Other
10
5626
0
0
0
0
0
10
Sysmiss
5626
23
5613
7000
1200000
173000
293227.805
e5_13. From who did you buy most of the [Livestock input: Manufactured feeds/sal
23
0
Native households
5
Other refugee households
4
Traders
14
e5_13. From who did you buy most of the [Livestock input: Manufactured feeds/sal
23
5613
0
1
0.174
0.388
0
19
1
4
Sysmiss
5613
e5_13. From who did you buy most of the [Livestock input: Manufactured feeds/sal
23
5613
0
1
0.217
0.422
0
18
1
5
Sysmiss
5613
e5_13. From who did you buy most of the [Livestock input: Manufactured feeds/sal
23
5613
0
1
0.609
0.499
0
9
1
14
Sysmiss
5613
e5_13. From who did you buy most of the [Livestock input: Manufactured feeds/sal
23
5613
0
0
0
0
0
23
Sysmiss
5613
What percentage did you buy from [other refugee households] ?46
4
5632
100
100
100
0
100
4
Sysmiss
5632
What percentage did you buy from [native households] ?47
5
5631
100
100
100
0
100
5
Sysmiss
5631
What percentage did you buy from [traders] ?48
14
5622
100
100
100
0
100
14
Sysmiss
5622
e6_13. Where did you buy most of the [Livestock input: Manufactured feeds/salts]
23
0
Closest town
5
Here
3
Here Neighbouring village
1
Neighbouring village
5
Trade centres
8
Trade centres Closest town
1
e6_13. Where did you buy most of the [Livestock input: Manufactured feeds/salts]
23
5613
0
1
0.174
0.388
0
19
1
4
Sysmiss
5613
e6_13. Where did you buy most of the [Livestock input: Manufactured feeds/salts]
23
5613
0
1
0.261
0.449
0
17
1
6
Sysmiss
5613
e6_13. Where did you buy most of the [Livestock input: Manufactured feeds/salts]
23
5613
0
1
0.261
0.449
0
17
1
6
Sysmiss
5613
e6_13. Where did you buy most of the [Livestock input: Manufactured feeds/salts]
23
5613
0
1
0.391
0.499
0
14
1
9
Sysmiss
5613
e6_13. Where did you buy most of the [Livestock input: Manufactured feeds/salts]
23
5613
0
0
0
0
0
23
Sysmiss
5613
e6_13. Where did you buy most of the [Livestock input: Manufactured feeds/salts]
23
5613
0
0
0
0
0
23
Sysmiss
5613
174
5462
35
6000000
164226.638
511508.714
e5_14. From who did you buy most of the [Livestock input: Vet services]
174
0
Native households
51
Native households Traders
1
Other (specify)
11
Other (specify) Native households
1
Other refugee households
6
Traders
103
Traders Native households
1
e5_14. From who did you buy most of the [Livestock input: Vet services]/Other re
174
5462
0
1
0.0345
0.183
0
168
1
6
Sysmiss
5462
e5_14. From who did you buy most of the [Livestock input: Vet services]/Native h
174
5462
0
1
0.31
0.464
0
120
1
54
Sysmiss
5462
e5_14. From who did you buy most of the [Livestock input: Vet services]/Traders
174
5462
0
1
0.603
0.491
0
69
1
105
Sysmiss
5462
e5_14. From who did you buy most of the [Livestock input: Vet services]/Other (s
174
5462
0
1
0.069
0.254
0
162
1
12
Sysmiss
5462
Specify other:50
12
0
1
From the district
1
Got at the sub county
1
Moyo Town
1
Subcounty
1
Vet shops
1
Vetenary
1
1
Veterinary Officers
1
Veterinary doctor
1
Veterinary shop
1
Veternary officers
1
What percentage did you buy from [other refugee households] ?51
6
5630
100
100
100
0
100
6
Sysmiss
5630
What percentage did you buy from [native households] ?52
54
5582
15
100
94.778
17.223
What percentage did you buy from [traders] ?53
105
5531
10
100
94.048
19.49
What percentage did you buy from${e5_14other} ?
12
5624
12
100
92.667
25.403
e6_14. Where did you buy most of the [Livestock input: Vet services]?
174
0
Closest town
51
Closest town Itinerant trader
1
Closest town Trade centres
1
Here
38
Here Closest town
1
Here Neighbouring village
2
Here Trade centres
1
Itinerant trader
9
Neighbouring village
8
Neighbouring village Here
2
Trade centres
59
Trade centres Other
1
e6_14. Where did you buy most of the [Livestock input: Vet services]?/Here
174
5462
0
1
0.253
0.436
0
130
1
44
Sysmiss
5462
e6_14. Where did you buy most of the [Livestock input: Vet services]?/Neighbouri
174
5462
0
1
0.069
0.254
0
162
1
12
Sysmiss
5462
e6_14. Where did you buy most of the [Livestock input: Vet services]?/Closest to
174
5462
0
1
0.31
0.464
0
120
1
54
Sysmiss
5462
e6_14. Where did you buy most of the [Livestock input: Vet services]?/Trade cent
174
5462
0
1
0.356
0.48
0
112
1
62
Sysmiss
5462
e6_14. Where did you buy most of the [Livestock input: Vet services]?/Itinerant
174
5462
0
1
0.0575
0.233
0
164
1
10
Sysmiss
5462
e6_14. Where did you buy most of the [Livestock input: Vet services]?/Other
174
5462
0
1
0.00575
0.0758
0
173
1
1
Sysmiss
5462
Specify other:54
1
0
Auction days
1
58
5578
100
18000000
745467.241
2380271.16
e5_15. From who did you buy most of the [Livestock input: Hired labour]
58
0
Native households
36
Native households Other refugee households
3
Other (specify)
3
Other refugee households
7
Other refugee households Native households
2
Traders
5
Traders Native households
2
e5_15. From who did you buy most of the [Livestock input: Hired labour]/Other re
58
5578
0
1
0.207
0.409
0
46
1
12
Sysmiss
5578
e5_15. From who did you buy most of the [Livestock input: Hired labour]/Native h
58
5578
0
1
0.741
0.442
0
15
1
43
Sysmiss
5578
e5_15. From who did you buy most of the [Livestock input: Hired labour]/Traders
58
5578
0
1
0.121
0.329
0
51
1
7
Sysmiss
5578
e5_15. From who did you buy most of the [Livestock input: Hired labour]/Other (s
58
5578
0
1
0.0517
0.223
0
55
1
3
Sysmiss
5578
Specify other:55
3
0
A Munyankole
1
Hired a tractor from Rigbo Subcounty
1
Servant
1
What percentage did you buy from [other refugee households] ?56
12
5624
40
100
79.167
26.785
What percentage did you buy from [native households] ?57
43
5593
20
100
87.209
23.128
What percentage did you buy from [traders] ?58
7
5629
30
100
66.429
28.094
What percentage did you buy from ${e5_15other} ?
3
5633
100
100
100
0
100
3
Sysmiss
5633
e6_15. Where did you buy most of the [Livestock input: Hired labour] ?
58
0
Closest town
3
Here
32
Here Neighbouring village
5
Here Neighbouring village Trade centres
1
Here Trade centres
1
Neighbouring village
13
Other
1
Trade centres
2
e6_15. Where did you buy most of the [Livestock input: Hired labour] ?/Here
58
5578
0
1
0.672
0.473
0
19
1
39
Sysmiss
5578
e6_15. Where did you buy most of the [Livestock input: Hired labour] ?/Neighbour
58
5578
0
1
0.328
0.473
0
39
1
19
Sysmiss
5578
e6_15. Where did you buy most of the [Livestock input: Hired labour] ?/Closest t
58
5578
0
1
0.0517
0.223
0
55
1
3
Sysmiss
5578
e6_15. Where did you buy most of the [Livestock input: Hired labour] ?/Trade cen
58
5578
0
1
0.069
0.256
0
54
1
4
Sysmiss
5578
e6_15. Where did you buy most of the [Livestock input: Hired labour] ?/Itinerant
58
5578
0
0
0
0
0
58
Sysmiss
5578
e6_15. Where did you buy most of the [Livestock input: Hired labour] ?/Other
58
5578
0
1
0.0172
0.131
0
57
1
1
Sysmiss
5578
Specify other:59
1
0
Subcounty
1
461
5175
0
10800000
249292.423
661203.21
73
5563
100
1500000
137932.877
209429.088
104
5532
5000
11500000
945923.077
1749137.811
1059
4577
0
12775000
631687.29
952558.338
E3a. Did your household have access to any credit in the last 12 months?
5636
0
No, but I could get access if I needed
1523
No, could not get access
2110
Yes
2003
E3b. What was the total amount of loan(s) received in the last 12 months? [Put 0
2003
3633
0
20000000
416965.755
980252.699
E3c. Where was this credit MAINLY obtained?
1996
0
Cooperative society or district cooperative bank
48
Formally registered associations ( eg. women disabled)
161
Government bank
12
Informal savings-credit group
1164
Input retailer
51
Micro-finance institution
43
NGO/CBO
28
Other (specify)
165
Output trader
36
Private bank
60
Private money lender
213
Private processing company store
7
Regional rural bank
8
Other (specify)60
165
0
A colse friend
1
A friend
1
A member of a VSLA
1
A person from her country of origin
1
Agent bank
1
Aliodrozu village SACCO
1
An individual money lender
1
Azile Ava village SACCO
1
Bank agent
1
Borrowed from a neighbour
1
Borrowed from neighbour.
1
Brother
1
Citizen
1
Didn't
1
Emyooga Opm
1
Enyogga assocition sacco
1
FRIENDS
1
Family friend. It was to cover health bill
1
Fellow Native Household
1
Fellow refugee
2
Fellow refugee household
1
Friend
11
Friends
13
Friends and family
1
Friends and neighbours
1
1
1
1
From Family friends
1
From a friend
2
From a neighbour who is a host
1
From kikia village group
1
From salama SACCO within the village
1
From shops we bet items on credit
1
From the neighbour
1
From the village SACCO
5
1
From village SACCO
4
Group savings
2
Group savings and loan scheme
1
Hospital
2
Huger fighters uganda
1
Hunger fighters uganda
2
INDIVIDUAL FRIENDS
1
Individual
9
Individual money lender
1
Kikia village group
2
MTC TOBACCO
1
1
Moneg lender
1
Money lender
3
Nationals
1
Neighbor
2
Neighbour
16
Neighbours
2
Neighbours and close friends
1
No loan
1
None
1
Northern Uganda security social action fund
1
Nusaf
2
Other neighboring household
1
Red Cross
1
Relative
2
Relatives
1
Relatives abroad
1
SACCO
3
SACCO (Savings Group)
1
Save the Children
1
Shisabasi loans saving
1
Shop
2
Shop attendants
1
Son
2
Traders
1
UN( WFP
1
UN(HUNGER FIGHTERS)
1
VLSA
2
VSLA and GIZ
1
VSLA( village saving and loan associations)
1
Veterans widows opharns (emyooga) association
1
Veterans widows orphans emyooga association
1
1
Village SACCO
8
Village savings association
1
Vision Fund
1
Vsla
1
WFP
2
Water mission group
1
We get services on credit
1
12907
0
1
16
2.343
1.548
1
4616
2
3745
3
2252
4
1218
5
564
6
263
7
113
8
56
9
23
10
19
11
13
12
11
13
5
14
4
15
3
16
2
12907
0
.soghurm
1
0
6
0.5
1
0000
2
1
3
BEAN
1
BEANS
1
Baeans
1
Banana
202
Banana plantain
1
Banana plantation
6
Bananas
77
Bananas plantation
1
Bean
39
Bean (pea)
1
Bean and pea
1
Bean's
2
Beans
1936
Beans Lapena
1
Beans and maize
4
Beans lapena
2
Beens
5
Boo
3
CASSAVA
3
Cabagge
1
Cabbage
10
Cabbages
3
Carrot
1
Casasava
1
Casava
31
Cass
1
Cassava
1708
Cassava.
1
Cassavava
1
Cassave
3
Casssava
2
Casssva
1
Cassva
1
Choroko
1
Coffe
1
Coffee
26
Cotton
11
Cow Pease
1
Cow peace
3
Cow peas
38
Cow peas leaves
1
Cow pieac
1
Cow pieace
1
Cow piece
1
Cowpeace
13
Cowpeas
69
Cowpease
3
Dodo
7
EGG PLANTS
2
Egg
1
Egg Plant
1
Egg plant
3
Egg plants
6
Eggplant
26
Eggs plant
1
G NUTS
1
G nut
2
G nuts
15
G. Nuts
2
G.Nuts
1
G.guts
1
G.nut
1
G.nuts
29
G/nuts
7
GNUTS
5
Gauva
5
Gnut
7
Gnuts
136
Gobe
1
Grandnuts
21
Grean peas
1
Green paper
1
Green papper
1
Green peas
1
Greens
2
Groudnuts
2
Grougnuts
1
1
Ground Nuts
2
Ground nut
2
Ground nuts
217
Groundnut
38
Groundnuts
493
Grounduts
2
Grundnuts
1
Guava
1
IRISH POTATOES
1
Irish
45
1
Irish Potato
1
Irish Potatoes
1
Irish potates
1
Irish potato
21
Irish potatoS
1
Irish potatoes
88
Irish poteto
1
1
Jack fruit
13
Lapena "peas
1
Lapina
1
Lemon
1
MAIZE
17
Maiize
1
Maize
2913
Maize.
1
Maizes
1
Mango
4
Mangoes
23
Matoke
3
Matoke plantation
1
Matooke
88
Matooke plantation
3
Mi?let
1
Milet
4
Milket
1
Millet
169
OCRA
1
ONIONS
1
OVaccado
1
Occra
4
Ocra
23
Okra
18
Okrah
6
Okura
2
Onion
4
Onions
14
Onions and tomatoes
1
Orange
8
Oranges
1
Orkra
1
Ovacado
23
Ovaccado
4
PAWPAW
1
POTATOES
2
Pampkin
1
1
Passion fruit
2
Patatoes
1
Patotoes
1
Pawpaw
17
Pawpaws
1
Pea
6
Peace
1
Peas
50
Peas "peas"
1
Pegeon peas
3
Pegion peas
3
Pigeon peace
1
Pigeon peas
16
Pineaples
1
Pineapple
1
Potates
1
Potato
26
Potato sweet
1
Potatoe
2
Potatoes
229
Potatos
1
Potatoss
1
Pumkin
2
Pumpkin
22
Pumpkins
5
Red paper
1
Red papper
1
Red pepper
2
Red pepper or chilli
1
Red sorghum
1
Red sweet potatoes
1
Rice
164
SIMSIM
6
SIMSIMU
2
SORGHUM
19
SWEET POTATOES
2
Says bean
1
Shorghum
4
Sim Sim
3
Sim sim
58
Sim sim( sesame)
1
Simim
1
Simsim
1109
1
Simsimsim
1
Simsm
4
Simu Simu
30
Simu simu
1
Sismsim
1
Sogeum
1
Soghum
3
Soghurm
49
Sogum
1
Sogurm
2
Somsim
1
Soorghum
1
Sorbhum
1
Sorghum
1252
Sorghum .
1
Sorghum?
1
Sorghurm
1
Sorghuum
1
Sorguhum
1
Sorgum
40
Sorhgum
1
Sorhum
2
Sought
1
Soya
13
Soya Bean
1
Soya Beans
4
Soya bean
12
Soya beans
42
Soyabean
4
Soyabeans
6
Soybean
1
Srghum
1
Standing beans
1
Sugar cane
2
Sugarcane
10
Sukuma
2
Sukuma Wiki
1
Sukuma wiiki
1
Sukuma wiki
5
Sukumawiki
1
Sun flower
4
Sunflower
33
Surgam
24
Sweat potatoes
2
3
Sweet Potato
2
Sweet Potatoes
10
Sweet p
1
Sweet patotoes
1
Sweet poataoes
1
Sweet poatatoes
1
Sweet poatoes
4
Sweet potaoes
1
Sweet potateos
1
Sweet potato
155
Sweet potato Red
1
Sweet potatoes
415
Sweet potatos
3
Sweetpotaoes
2
Sweetpotates
2
Sweetpotato
4
Sweetpotatoes
48
Sweetpotoes
1
Sweets potatoes
1
Swet pota
1
TOMATOES
2
TOMATOES q
1
Tobacco
11
Tobbaco
1
Toma
1
Tomato
1
Tomatoes
44
U
1
Vacado
1
Vegetable
1
Watermelon
2
Yam
6
Yams
24
beans
3
simsim
1
sorghum
2
12907
0
0
900
0.99
11.345
12907
0
0
350000
315.887
5722.225
12907
0
1
3
1
Both
162
2
Improved seeds
1295
3
Traditional seeds
11450
F5c. Have you applied inorganic fertilizers (manufactured fertilizer eg. NPK, CA
12907
0
1
2
1
No
12687
2
Yes
220
12907
0
1
4
1
No
12377
2
Yes, both compost and manure
61
3
Yes, compost
135
4
Yes, manure
334
10685
2222
0
160000
128.023
2593.309
2741
10166
0
600000
2934.652
14634.595
2741
10166
0
28000000
333949.703
1065476.552
2741
0
Native households
471
Native households Other (specify)
1
Native households Other refugee households
45
Native households Other refugee households Other (specify) Traders
1
Native households Other refugee households Traders
2
Native households Traders
68
Native households Traders Other refugee households
1
Other (specify)
82
Other refugee households
289
Other refugee households Native households
39
Other refugee households Native households Traders
15
Other refugee households Traders
19
Other refugee households Traders Native households
3
Traders
1568
Traders Native households
83
Traders Native households Other refugee households
11
Traders Other (specify)
1
Traders Other refugee households
37
Traders Other refugee households Native households
5
2741
10166
0
1
0.17
0.376
0
2274
1
467
Sysmiss
10166
2741
10166
0
1
0.272
0.445
0
1996
1
745
Sysmiss
10166
2741
10166
0
1
0.662
0.473
0
927
1
1814
Sysmiss
10166
2741
10166
0
1
0.031
0.173
0
2656
1
85
Sysmiss
10166
2741
10166
0
1
0.405
0.491
0
1632
1
1109
Sysmiss
10166
2741
10166
0
1
0.127
0.333
0
2394
1
347
Sysmiss
10166
2741
10166
0
1
0.0876
0.283
0
2501
1
240
Sysmiss
10166
2741
10166
0
1
0.356
0.479
0
1764
1
977
Sysmiss
10166
2741
10166
0
1
0.162
0.369
0
2297
1
444
Sysmiss
10166
2741
10166
0
1
0.0139
0.117
0
2703
1
38
Sysmiss
10166
12907
0
Both
162
Improved seeds
1295
Traditional seeds
11450
12907
0
No
12687
Yes
220
12907
0
No
12377
Yes, both compost and manure
61
Yes, compost
135
Yes, manure
334
467
12440
0
100
72.609
31.924
745
12162
0
100
73.758
32.152
1814
11093
0
100
86.151
24.562
85
12822
0
100
61.882
46.087
2741
0
Closest town
152
Closest town Here
9
Closest town Itinerant trader
3
Closest town Neighbouring village
9
Closest town Neighbouring village Here
1
Closest town Trade centres
13
Closest town Trade centres Here
1
Here
867
Here Closest town
11
Here Closest town Trade centres
6
Here Itinerant trader
7
Here Itinerant trader Trade centres
2
Here Neighbouring village
41
Here Neighbouring village Closest town
4
Here Neighbouring village Closest town Trade centres
2
Here Neighbouring village Trade centres
12
Here Trade centres
59
Here Trade centres Closest town
4
Here Trade centres Itinerant trader
2
Here Trade centres Neighbouring village
8
Itinerant trader
384
Itinerant trader Closest town
1
Itinerant trader Here
4
Itinerant trader Here Neighbouring village
1
Itinerant trader Here Trade centres
1
Itinerant trader Trade centres
12
Itinerant trader Trade centres Closest town Here
1
Neighbouring village
196
Neighbouring village Closest town
12
Neighbouring village Here
24
Neighbouring village Here Trade centres
1
Neighbouring village Here Trade centres Closest town
1
Neighbouring village Trade centres
15
Neighbouring village Trade centres Here
1
Other
37
Other Here
1
Trade centres
754
Trade centres Closest town
5
Trade centres Closest town Here
1
Trade centres Here
31
Trade centres Here Itinerant trader
1
Trade centres Here Neighbouring village Closest town
1
Trade centres Itinerant trader
23
Trade centres Itinerant trader Here
2
Trade centres Neighbouring village
13
Trade centres Neighbouring village Closest town
3
Trade centres Neighbouring village Here
2
10685
2222
-4
70000
10.211
677.27
12907
0
1
12907
6454
3726.074
12907
0
238350099
250704838
242643039.508
3045451.385
12907
0
3680
0
1
9
1.727
0.993
1
1967
2
1068
3
432
4
147
5
42
6
15
7
4
8
4
9
1
3680
0
"Boo"
1
"Dodo"
2
'Mundrokolo'
1
'Osobi'
1
( layu) mulukia (leafy okra)
1
0
13
0.01
1
0ccra
1
0kra
1
0nions
3
0ranges
1
0sobi
1
1
7
2
1
3
1
African Egg plant
1
African egg plant
1
African egg plants
1
African eggplant
2
Amarantha
2
Amarantha(dodo)
2
Amaranthas
1
Amaranthus
32
Amarathus / dodo
1
BLACKJACK
2
Bamia
5
Banana
41
Banana plantain
2
Banana plantatation
1
Banana plantation
7
Banana platation
1
Bananas
36
Beans
6
Beans Greens
1
Beans Leaves
2
Beans boo
1
Beans green leaf
1
Beans leaf
1
Beans leaves
1
Biriganya
1
Biringanya
2
Bitroot
1
Boo
21
Boo (Local peas)
1
Boo (local peas)
5
Boo (peas)
2
Boo(French bean leaves)
2
Boo(French beans leaves)
1
Boo(cow peas leaves)
1
Boo(gobe, French bean leaves)
1
Boo(gobe,French bean leaves)
1
Boo, gobe(( cow peas leaves)
1
Boo,gobe ( French bean leaves)
1
Boo/Gobe(French bean leaves)
1
Bringanya
1
Brother heart
1
Cabages
1
Cabagge
1
Cabagges
3
Cabbaga
1
Cabbage
120
Cabbages
41
Cabbagge
2
Carbage
1
Carrot
5
Carrots
5
Casava
3
Cassava
2
Cow peas
46
Cow peas leaves
58
Cow piece
3
CowPea
1
Cowpea
23
1
Cowpea and amarathus
1
Cowpea and okra
2
Cowpeace
1
Cowpeas
16
Cowpeas leaves
6
Cowpease
5
Cowpease as leaves vegetables
1
Cowpease leaves
1
Cowpee
2
Cowpeeas
1
Cucumber
1
Cucumbers
1
DODO
3
Doddo
1
Dodo
263
Dodo ( amarantha)
1
1
Dodo ( amarantus dubious)
3
Dodo (Amaranthas)
1
Dodo (amarantha )
1
Dodo (amarantha)
1
Dodo (amaranthas)
1
Dodo (amarantus dubious)
2
Dodo( amarantha)
1
Dodo( amarantus dubious)
6
Dodo(Amarantha)
1
2
Dodo(amarantus dubious)
7
Dodo(greens)
1
Dodo,0nions,passion fruits, paw paws
1
Dodo/Amaranthus
2
Dodo/amaranthus
2
Dodos
1
Doodo
1
Doodo(amaranrantas
1
Eboo
3
1
Egg Plant
2
Egg Plants
3
Egg plant
76
Egg plants
130
Egglant
1
Eggplant
140
Eggplant(entula)
1
Eggplants
77
1
Eggs plant
2
Eggs plants
1
Ejiribi
3
Entula
2
GAVOR
1
GAVOUR
1
GAVOURS
2
Garlic
1
Gobbe
2
Gobe
40
1
Gobe ( french bean leaves)
1
Gobe ( french beans leaves)
6
Gobe (cow peas leaves)
1
Gobe (cowpeas leaves)
1
Gobe (duboo)
1
Gobe (french beans leaves)
1
Gobe( cow peas leaves)
1
Gobe( french beans leaves)
1
Gobe(French beans leaves)
1
Gobe,boo (French bean leaves)
1
Goobbe
1
Grean peas
1
Green
1
1
Green Vegetables (Sukuma)
1
Green beans
1
Green fibre
1
Green leaf
2
Green paper
6
Green papper
1
Green peas
20
Green pepper
3
Green vegetables
14
Greens
51
Greens (Gobe)
1
Greens (goobe)
1
Greens (obaa)
1
Greens dodo
1
Greens( boo)
2
Greens(Doodo)
1
Greens(boo)
3
Greens(goobe)
1
Ground nuts
1
Guava
2
Guavas
4
Hibiscus
1
Jack fruit
7
Jack fruits
12
Jackfruit
29
Jackfruits
1
Kolubu
1
Kulubu
3
Layi
17
Lemon
3
Lemons
8
Local peas
2
Local peas (boo)
1
Long eggplants
1
Maize
1
Malakwang
13
Malkwang
1
Mango
31
Mangoes
64
Mangos
1
Manoges
1
Matooke
2
Mkakwan
1
Nakat
1
Nakati
60
Nakati/Green vegetables
1
Nakatti
1
Ngete
7
Ngete (pegion peas leave)
1
Ngete (pegion peas leaves)
3
None
1
Ntula
1
OKRA
3
OKra
1
ORANGES
2
Occra
48
Ocra
51
Oddo
1
Okla
3
Okra
455
Okra ,cowpea
1
Okra ,pawpaw
1
Okra and cowpea
1
Okra, beans greens, pawpaw, lemon
1
Okrah
17
Oninions
1
Onion
26
Onions
137
Onions and tomatoes
1
Onoins
1
Orange
4
Orange and pawpaw
1
Orange's
1
Oranges
14
Orka
1
Orkra
27
Osobi
56
Osobi (local name)
1
Osobi greens
2
Osubi
1
Otigu
1
Ovacado
65
Ovacados
3
PASSIONNFRUITS
1
PAWPAW
15
PApAW
1
Pampkin
2
Papaya
10
Pasion friuts
1
Passion fruit
1
Passion fruits
3
Passions
1
Paszion friut
1
Paw paw
4
Paw paws
1
Pawpaw
49
Pawpaws
25
Pea and cowpea
1
Peas
45
Peas "Lapeena"
1
Peas (boo)
2
Peas and cowpea
1
Pease
1
Pegion peas (gobe)
1
Pegoen peas
1
Person fruit
1
Pigeon Peas
1
Pigeon peas
1
Pigeonpeas
1
Pineapples
5
Pumkin
1
Pumpkim
1
Pumpkin
18
Pumpkin leaves
4
Pumpkins
16
Red paper
1
Red papper
1
Red pepper
13
Redpepper
2
Sikima wiki
1
Sikuma Wic
1
Sikuma Wiki
1
Sikuma wiki
1
Sorghum
1
Soya beans
1
Spinach
18
Spinanch
1
Sugarcane
1
Sukami wiki
1
Sukmawiki
1
Sukuam wiiki
1
Sukuma
61
1
Sukuma Wiki
6
Sukuma wichi
1
Sukuma wiiki
6
Sukuma wiki
99
Sukumaiki
1
Sukumawi and cabbage
1
Sukumawik
6
Sukumawiki
122
Sumawiki
1
Sunflower
1
Suukuma
1
Sweet potato
2
TOMATOES
1
Tomato
9
Tomatoe
1
Tomatoes
348
Tomatoes and eggplant
1
Tomorrow
1
Tomotoes
1
Usubi
13
Water mellon
1
Water melon
4
Watermelon
3
Watermelons
1
pawpaws
1
3680
0
0
160
0.23
3.179
3680
0
0
150000
135.006
2539.415
3680
0
Both
40
Improved seeds
870
Traditional seeds
2770
3680
0
No
3534
Yes
146
3680
0
No
3437
Yes, both compost and manure
48
Yes, compost
40
Yes, manure
155
3372
308
0
480000
216.859
8353.698
659
3021
0
100000
2585.197
7718.46
3372
308
0
100000000
70020.195
1754762.192
3680
0
1
3680
1840.5
1062.469
3680
0
238350099
250513058
242963110.895
3240091.105
3680
0
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
g1a. Did you or any member of the household eat Maize, maize flour, wheat flour,
5636
0
No
1311
Yes
4325
g1b. Days eaten Cereals: Maize, maize flour, wheat flour, rice, pasta, bread and
5636
0
0
45000
12.651
599.358
g1c. Primary source of Cereals: Maize, maize flour, wheat flour, rice, pasta, br
5185
0
Barter
28
Borrowed
27
Casual labour
42
Credit/Loan
9
Food Aid
1528
Gift
67
Hunting / gathering/fishing
4
Purchased
1467
own farm production
2013
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
1467
4169
0
1000000
43933.002
55409.939
1464
0
Native households
190
Native households Other refugee households
5
Native households Traders
4
Other (specify)
3
Other (specify) Traders
1
Other refugee households
156
Other refugee households Native households
9
Other refugee households Native households Traders
1
Other refugee households Other (specify)
1
Other refugee households Traders
11
Traders
1059
Traders Native households
10
Traders Native households Other refugee households
2
Traders Other refugee households
11
Traders Other refugee households Native households
1
Specify other:63
5
0
Market
2
She sells maize flour and is paid in kind
1
1
Village savings association
1
What percentage of Cereals did you buy from [other refugee households] ?
197
5439
10
100
88.401
21.89
What percentage of Cereals did you buy from [native households]?
222
5414
10
100
91.133
21.105
What percentage of Cereals did you buy from [traders]?
1100
4536
0
100
91.647
20.303
What percentage of Cereals did you buy from ${g1e_1other}?
5
5631
28.57
100
75.714
34.107
g1f_1. Where did you buy most of the Cereals: Maize, maize flour, wheat flour, r
1464
0
Closest town
67
Closest town Here
4
Closest town Neighbouring village
1
Closest town Trade centres
6
Here
444
Here Closest town
4
Here Closest town Neighbouring village
2
Here Neighbouring village
12
Here Neighbouring village Trade centres
1
Here Trade centres
20
Here Trade centres Neighbouring village
1
Itinerant trader
9
Itinerant trader Here
1
Itinerant trader Trade centres
1
Neighbouring village
50
Neighbouring village Here
7
Neighbouring village Here Closest town
1
Neighbouring village Trade centres
3
Other
1
Trade centres
804
Trade centres Closest town
7
Trade centres Here
12
Trade centres Here Neighbouring village
1
Trade centres Neighbouring village
3
Trade centres Neighbouring village Closest town
1
Trade centres Neighbouring village Here
1
Specify other:64
1
0
Market
1
g1a. Did you or any member of the household eat White tubers and roots: Cassava,
5636
0
No
2796
Yes
2840
g1b. Days eaten White tubers and roots: Cassava, potatoes, sweet potatoes, banan
5636
0
0
10000
9.444
254.008
g1c. Primary source of White tubers and roots: Cassava, potatoes, sweet potatoes
4193
0
Barter
112
Borrowed
96
Casual labour
166
Credit/Loan
11
Food Aid
31
Gift
198
Hunting / gathering/fishing
19
Purchased
1336
own farm production
2224
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
1336
4300
0
400000
24421.337
32328.572
g1e_2. From who did you buy most of the White tubers and roots: Cassava, potatoe
1335
0
Native households
269
Native households Other refugee households
7
Native households Traders
21
Other (specify)
16
Other refugee households
207
Other refugee households Native households
7
Other refugee households Native households Traders
1
Other refugee households Traders
16
Traders
772
Traders Native households
12
Traders Native households Other refugee households
1
Traders Other refugee households
5
Traders Other refugee households Native households
1
Specify other:65
16
0
Itinerant traders
1
Market
12
They were paid in kind for digging
1
Village farmers around the trading center
1
Works and is paid in form of food.
1
245
5391
0
100
86.968
26.383
319
5317
0.1
100
88.364
24.126
829
4807
0.6
100
88.355
25.029
16
5620
30
100
95.625
17.5
g1f_2. Where did you buy most of the White tubers and roots: Cassava, potatoes,
1335
0
Closest town
78
Closest town Here
3
Closest town Neighbouring village
1
Closest town Trade centres
2
Here
494
Here Closest town
3
Here Closest town Trade centres
1
Here Neighbouring village
17
Here Trade centres
40
Here Trade centres Itinerant trader
1
Here Trade centres Neighbouring village
1
Itinerant trader
13
Neighbouring village
80
Neighbouring village Closest town
2
Neighbouring village Here
11
Neighbouring village Here Trade centres
1
Neighbouring village Trade centres
1
Neighbouring village Trade centres Itinerant trader
1
Other
10
Trade centres
538
Trade centres Closest town
7
Trade centres Here
13
Trade centres Itinerant trader
2
Trade centres Neighbouring village
13
Trade centres Neighbouring village Here
1
Trade centres Other
1
Specify other:66
11
0
1
Buy from nationals
1
Farmers in the village around the trading centre
1
Market
7
Uganda nationals
1
g1a. Did you or any member of the household eat Pulses/legumes, seeds & nuts: Be
5636
0
No
1056
Yes
4580
g1b. Days eaten Pulses/legumes, seeds & nuts: Bean, peas, groundnuts, cashew nut
5636
0
0
60000
46.865
1191.645
g1c. Primary source of Pulses/legumes, seeds & nuts: Bean, peas, groundnuts, cas
5408
0
Barter
60
Borrowed
28
Casual labour
67
Credit/Loan
19
Food Aid
1550
Gift
93
Hunting / gathering/fishing
3
Purchased
1633
own farm production
1955
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
1633
4003
0
360000
26300.574
26177.502
g1e_3. From who did you buy most of the Pulses/legumes, seeds & nuts: Bean, peas
1623
0
Native households
174
Native households Other refugee households
11
Native households Traders
20
Other (specify)
4
Other (specify) Other refugee households
1
Other refugee households
201
Other refugee households Native households
10
Other refugee households Traders
14
Traders
1150
Traders Native households
21
Traders Native households Other refugee households
1
Traders Other refugee households
15
Traders Other refugee households Native households
1
Specify other:67
5
0
Market
4
Refugee households
1
What percentage of Pulses/legumes, seeds & nuts did you buy from [other refugee
254
5382
0
100
88.879
23.01
What percentage of Pulses/legumes, seeds & nuts did you buy from [native househo
238
5398
20
100
84.929
24.658
What percentage of Pulses/legumes, seeds & nuts did you buy from [traders]?
1222
4414
0
100
91.022
22.339
What percentage of Pulses/legumes, seeds & nuts did you buy from ${g1e_3other}?
5
5631
50
100
90
22.361
g1f_3. Where did you buy most of the Pulses/legumes, seeds & nuts: Bean, peas, g
1623
0
Closest town
89
Closest town Here Trade centres
1
Closest town Trade centres
9
Here
466
Here Closest town
4
Here Closest town Trade centres
2
Here Neighbouring village
14
Here Neighbouring village Closest town
1
Here Neighbouring village Trade centres
4
Here Trade centres
38
Here Trade centres Neighbouring village
2
Itinerant trader
3
Neighbouring village
74
Neighbouring village Closest town
1
Neighbouring village Here
4
Neighbouring village Trade centres
7
Neighbouring village Trade centres Here
1
Other
10
Other Trade centres
1
Trade centres
854
Trade centres Closest town
8
Trade centres Here
17
Trade centres Here Closest town
1
Trade centres Itinerant trader
2
Trade centres Neighbouring village
10
Specify other:68
11
0
Market
10
Refugees
1
g1a. Did you or any member of the household eat Orange Vegetables (vitamin A ric
5636
0
No
4970
Yes
666
g1b. Days eaten Orange Vegetables (vitamin A rich): carrot, pumpkin, orange swee
5636
0
0
20000
7.655
376.716
g1c. Primary source of Orange Vegetables (vitamin A rich): carrot, pumpkin, oran
1237
0
Barter
47
Borrowed
75
Casual labour
19
Credit/Loan
6
Food Aid
13
Gift
107
Hunting / gathering/fishing
170
Purchased
314
own farm production
486
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
314
5322
0
150000
9590.764
13173.507
g1e_4. From who did you buy most of the Orange Vegetables (vitamin A rich): carr
312
0
Native households
88
Native households Other refugee households
1
Native households Traders
3
Other (specify)
2
Other refugee households
69
Other refugee households Native households Traders
1
Traders
146
Traders Native households
2
Specify other:69
2
0
Market
2
What percentage of Orange Vegetables (vitamin A rich) did you buy from [other re
71
5565
1
100
92.056
23.344
What percentage of Orange Vegetables (vitamin A rich) did you buy from [native h
95
5541
5
100
89.368
24.649
What percentage of Orange Vegetables (vitamin A rich) did you buy from [traders]
152
5484
0
100
88.191
27.28
What percentage of Orange Vegetables (vitamin A rich) did you buy from ${g1e_4ot
2
5634
100
100
100
0
g1f_4. Where did you buy most of the Orange Vegetables (vitamin A rich): carrot,
312
0
Closest town
19
Here
156
Here Neighbouring village
3
Here Neighbouring village Trade centres
1
Here Trade centres
2
Here Trade centres Neighbouring village
1
Itinerant trader
5
Itinerant trader Trade centres
1
Neighbouring village
15
Neighbouring village Here
1
Neighbouring village Itinerant trader
1
Other
2
Trade centres
99
Trade centres Here
1
Trade centres Itinerant trader
2
Trade centres Neighbouring village
2
Trade centres Neighbouring village Here
1
Specify other:70
2
0
Market
2
g1a. Did you or any member of the household eat Green leafy vegetables (iron ric
5636
0
No
3637
Yes
1999
g1b. Days eaten Green leafy vegetables (iron rich): spinach, cassava leaves, Suk
5636
0
0
8000
4.185
133.183
g1c. Primary source of Green leafy vegetables (iron rich): spinach, cassava leav
3274
0
Barter
87
Borrowed
152
Casual labour
67
Credit/Loan
16
Food Aid
15
Gift
227
Hunting / gathering/fishing
527
Purchased
759
own farm production
1424
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
759
4877
0
72000
8499.48
8177.554
g1e_5. From who did you buy most of the Green leafy vegetables (iron rich): spin
752
0
Native households
199
Native households Other refugee households
4
Native households Other refugee households Traders
3
Native households Traders
10
Other (specify)
5
Other refugee households
103
Other refugee households Native households
2
Other refugee households Native households Traders
1
Other refugee households Traders
1
Other refugee households Traders Native households
1
Traders
409
Traders Native households
13
Traders Other refugee households
1
Specify other:71
5
0
Market
4
Own production
1
116
5520
0.25
100
92.847
19.763
233
5403
0
100
90.708
21.587
439
5197
0
100
88.245
24.988
5
5631
100
100
100
0
g1f_5. Where did you buy most of the Green leafy vegetables (iron rich): spinach
752
0
Closest town
19
Closest town Trade centres
2
Here
296
Here Closest town
1
Here Itinerant trader
1
Here Neighbouring village
8
Here Neighbouring village Closest town
1
Here Neighbouring village Closest town Trade centres
1
Here Trade centres
11
Itinerant trader
10
Neighbouring village
41
Neighbouring village Here
4
Neighbouring village Here Trade centres
1
Neighbouring village Trade centres
1
Other
5
Trade centres
332
Trade centres Closest town Here
1
Trade centres Here
10
Trade centres Itinerant trader
3
Trade centres Neighbouring village
1
Trade centres Neighbouring village Here
3
Specify other:72
5
0
Market
4
Own production
1
g1a. Did you or any member of the household eat Other vegetables: tomatoes, onio
5636
0
No
2148
Yes
3488
g1b. Days eaten Other vegetables: tomatoes, onions, cucumber, green beans, peas,
5636
0
0
30000
42.885
762.59
g1c. Primary source of Other vegetables: tomatoes, onions, cucumber, green beans
4498
0
Barter
51
Borrowed
71
Casual labour
35
Credit/Loan
28
Food Aid
35
Gift
89
Hunting / gathering/fishing
69
Purchased
3586
own farm production
534
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
3586
2050
0
250000
9756.009
11038.009
g1e_6. From who did you buy most of the Other vegetables: tomatoes, onions, cucu
3579
0
Native households
572
Native households Other refugee households
22
Native households Other refugee households Traders
2
Native households Traders
44
Other (specify)
21
Other refugee households
460
Other refugee households Native households
19
Other refugee households Native households Traders
3
Other refugee households Traders
20
Other refugee households Traders Native households
2
Traders
2347
Traders Native households
38
Traders Native households Other refugee households
4
Traders Other (specify)
1
Traders Other refugee households
21
Traders Other refugee households Native households
3
Specify other:73
22
0
Closest town
1
Interenant traders
1
Itinerant trader
1
Market
19
What percentage of Other vegetables did you buy from [other refugee households]
556
5080
0
100
87.884
25.343
What percentage of Other vegetables did you buy from [native households]?
709
4927
0
100
85.473
26.561
What percentage of Other vegetables did you buy from [traders]?
2485
3151
0
100
91.215
22.411
What percentage of Other vegetables did you buy from ${g1e_6other}?
22
5614
20
100
96.364
17.056
g1f_6. Where did you buy most of the Other vegetables: tomatoes, onions, cucumbe
3579
0
Closest town
121
Closest town Here
4
Closest town Here Trade centres Neighbouring village
1
Closest town Neighbouring village
3
Closest town Neighbouring village Here
1
Closest town Trade centres
5
Here
1273
Here Closest town
7
Here Closest town Trade centres
3
Here Itinerant trader
1
Here Neighbouring village
39
Here Neighbouring village Closest town
1
Here Neighbouring village Closest town Trade centres
1
Here Neighbouring village Itinerant trader
1
Here Neighbouring village Trade centres
4
Here Trade centres
77
Here Trade centres Closest town
1
Here Trade centres Itinerant trader
2
Itinerant trader
54
Itinerant trader Trade centres
11
Neighbouring village
166
Neighbouring village Closest town
1
Neighbouring village Here
16
Neighbouring village Trade centres
8
Neighbouring village Trade centres Here
1
Other
5
Trade centres
1698
Trade centres Closest town
6
Trade centres Closest town Here
1
Trade centres Here
36
Trade centres Here Neighbouring village
1
Trade centres Itinerant trader
11
Trade centres Neighbouring village
14
Trade centres Neighbouring village Here
3
Trade centres Neighbouring village Here Closest town
1
Trade centres Neighbouring village Itinerant trader Here
1
Specify other:74
5
0
Market
5
g1a. Did you or any member of the household eat Orange fruits (vitamin A rich):
5636
0
No
4499
Yes
1137
5636
0
0
100
1.017
3.148
g1c. Primary source of Orange fruits (vitamin A rich): mango, papaya,
1915
0
Barter
15
Borrowed
83
Casual labour
29
Credit/Loan
6
Food Aid
6
Gift
200
Hunting / gathering/fishing
300
Purchased
326
own farm production
950
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
326
5310
0
70000
6567.209
9136.383
g1e_7. From who did you buy most of the Orange fruits (vitamin A rich): mango, p
320
0
Native households
51
Native households Other (specify)
1
Native households Other refugee households
3
Native households Traders
7
Other (specify)
4
Other refugee households
36
Other refugee households Native households
3
Other refugee households Native households Traders
2
Other refugee households Traders
1
Traders
207
Traders Native households
4
Traders Other refugee households
1
Specify other:75
5
0
Crop Market
1
Market
4
What percentage of Orange fruits (vitamin A rich) did you buy from [other refuge
46
5590
5
100
72.065
38.436
What percentage of Orange fruits (vitamin A rich) did you buy from [native house
71
5565
5
100
72.282
35.399
What percentage of Orange fruits (vitamin A rich) did you buy from [traders]?
222
5414
0
100
90.077
25.525
What percentage of Orange fruits (vitamin A rich) did you buy from ${g1e_7other}
5
5631
30
100
86
31.305
g1f_7. Where did you buy most of the Orange fruits (vitamin A rich): mango, papa
320
0
Closest town
13
Closest town Trade centres
2
Here
106
Here Closest town
1
Here Closest town Neighbouring village Trade centres Itinerant trader
1
Here Trade centres
11
Here Trade centres Closest town
1
Here Trade centres Itinerant trader
1
Here Trade centres Neighbouring village
1
Itinerant trader
8
Neighbouring village
17
Neighbouring village Here
1
Neighbouring village Trade centres
2
Neighbouring village Trade centres Itinerant trader Here
1
Other
2
Trade centres
150
Trade centres Closest town
1
Trade centres Neighbouring village Closest town
1
Specify other:76
2
0
Market
2
G1a. Did you or any member of the household eat Other fruits: banana, apple, lem
5636
0
No
5135
Yes
501
G1b. Days eaten Other fruits: banana, apple, lemon, sheanuts, balanites etc IN T
5636
0
0
3000
0.964
39.995
g1c. Primary source of Other fruits: banana, apple, lemon, sheanuts, balanites e
857
0
Barter
11
Borrowed
26
Casual labour
33
Credit/Loan
6
Food Aid
7
Gift
85
Hunting / gathering/fishing
44
Purchased
298
own farm production
347
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
298
5338
0
150000
9724.839
14146.73
g1e_8. From who did you buy most of the food most of the Other fruits: banana, a
294
0
Native households
65
Native households Other refugee households
1
Native households Traders
2
Other (specify)
2
Other refugee households
42
Other refugee households Native households
3
Other refugee households Traders
3
Traders
175
Traders Other refugee households
1
Specify other:77
2
0
Market
1
1
What percentage of the Other fruits did you buy from [other refugee households]
50
5586
4
100
83.4
29.005
What percentage of the Other fruits did you buy from [native households]?
71
5565
0
100
86.761
27.387
What percentage of the Other fruits did you buy from [traders]?
181
5455
0
100
87.91
27.151
What percentage of the Other fruits did you buy from ${g1e_8other}?
2
5634
35
100
67.5
45.962
294
0
Closest town
18
Closest town Here
1
Closest town Neighbouring village
1
Here
111
Here Closest town
1
Here Trade centres
6
Itinerant trader
4
Neighbouring village
22
Neighbouring village Itinerant trader
2
Other
1
Trade centres
124
Trade centres Closest town
1
Trade centres Here
1
Trade centres Neighbouring village
1
Specify other:78
1
0
Market
1
G1a. Did you or any member of the household eat Beef, goat, pork, chicken, termi
5636
0
No
5115
Yes
521
5636
0
0
12000
2.488
159.841
g1c. Primary source of Beef, goat, pork, chicken, termites, donkey or camel meat
1397
0
Barter
4
Borrowed
7
Casual labour
3
Credit/Loan
2
Food Aid
8
Gift
41
Hunting / gathering/fishing
7
Purchased
1104
own farm production
221
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
1104
4532
0
680000
33290.328
42253.791
g1e_9. From who did you buy most of the food most of the Beef, goat, pork, chick
1101
0
Native households
142
Native households Traders
15
Other (specify)
4
Other refugee households
63
Other refugee households Native households
2
Other refugee households Native households Traders
1
Traders
864
Traders Native households
8
Traders Native households Other refugee households
1
Traders Other (specify)
1
Specify other:79
5
0
Market places
1
Own production(chicken)
1
Restaurant
1
1
Village savings association
1
What percentage of the Meats (Beef, goat, etc) did you buy from [other refugee h
67
5569
5
100
92.612
22.686
What percentage of the Meats (Beef, goat, etc) did you buy from [native househol
169
5467
0
100
87.55
24.953
What percentage of the Meats (Beef, goat, etc) did you buy from [traders]?
890
4746
0
100
95.025
17.811
What percentage of the Meats (Beef, goat, etc) did you buy from ${g1e_9other}?
5
5631
10
100
72
40.866
g1f_9. Where did you buy most of the food most of the Beef, goat, pork, chicken,
1101
0
Closest town
91
Closest town Here
2
Closest town Trade centres
5
Here
261
Here Closest town
5
Here Closest town Neighbouring village
1
Here Neighbouring village
7
Here Neighbouring village Closest town Trade centres
1
Here Neighbouring village Trade centres
1
Here Trade centres
11
Itinerant trader
1
Neighbouring village
53
Neighbouring village Closest town
2
Neighbouring village Here
2
Neighbouring village Trade centres
2
Trade centres
641
Trade centres Closest town
4
Trade centres Closest town Neighbouring village
2
Trade centres Here
6
Trade centres Neighbouring village
3
g1a. Did you or any member of the household eat Liver, kidney, heart and other o
5636
0
No
5537
Yes
99
g1b. Days eaten Liver, kidney, heart and other organ meats IN THE PAST 7 DAYS:
5636
0
0
10000
2.906
155.333
g1c. Primary source of Liver, kidney, heart and other organ meats
189
0
Barter
4
Casual labour
3
Gift
15
Purchased
140
own farm production
27
g1d. What is the amount in the last 30 days spent for purchasing on cash/credit
140
5496
0
100000
19068.571
17014.552
g1e_10. From who did you buy most of the food most of the Liver, kidney, heart a
137
0
Native households
25
Native households Traders
1
Other refugee households
15
Traders
96
What percentage of the Liver, kidney, heart and other organ meats did you buy fr
15
5621
100
100
100
0
What percentage of the Liver, kidney, heart and other organ meats did you buy fr
26
5610
60
100
96.923
10.87
What percentage of the Liver, kidney, heart and other organ meats did you buy fr
97
5539
0
100
94.381
20.275
g1f_10. Where did you buy most of the food most of the Liver, kidney, heart and
137
0
Closest town
15
Closest town Trade centres
1
Here
37
Here Neighbouring village
1
Here Trade centres
1
Neighbouring village
6
Trade centres
72
Trade centres Here
3
Trade centres Neighbouring village
1
g1a. Did you or any member of the household eat insects (termites,grasshoppers,c
5636
0
No
5452
Yes
184
g1b. Days eaten insects (termites,grasshoppers,crickets, others) IN THE PAST 7 D
5636
0
0
100
0.111
1.401
g1c. Primary source of insects (termites,grasshoppers,crickets, others)
327
0
Borrowed
3
Casual labour
2
Credit/Loan
1
Food Aid
1
Gift
12
Hunting / gathering/fishing
165
Purchased
137
own farm production
6
g1d. What is the amount in the last 30 days spent for purchasing on cash/credit
137
5499
0
80000
6315.431
10611.19
g1e_17. From who did you buy most of the food most of the insects (termites,gras
135
0
Native households
34
Other (specify)
4
Other (specify) Traders
1
Other refugee households
3
Other refugee households Native households
1
Traders
92
Specify other:83
5
0
Itinerant traders
4
White Ants
1
What percentage of the Insects (termites,grasshoppers,crickets, others) did you
4
5632
10
100
75
43.589
What percentage of the Insects (termites,grasshoppers,crickets, others) did you
35
5601
0
100
88.571
30.692
What percentage of the Insects (termites,grasshoppers,crickets, others) did you
93
5543
1
100
96.677
16.176
What percentage of the Insects (termites,grasshoppers,crickets, others) did you
5
5631
10
100
82
40.249
g1f_17. Where did you buy most of the food most of the insects (termites,grassho
135
0
Closest town
14
Here
33
Here Itinerant trader
2
Here Neighbouring village
1
Here Trade centres
1
Itinerant trader
34
Neighbouring village
6
Trade centres
43
Trade centres Here
1
g1a. Did you or any member of the household eat Fish: shellfish, tinned tuna, se
5636
0
No
4019
Yes
1617
g1b. Days eaten Fish: shellfish, tinned tuna, seafood, tilapia, omena IN THE PAS
5636
0
0
36000
25.925
752.781
g1c. Primary source of Fish: shellfish, tinned tuna, seafood, tilapia, omena
3147
0
Barter
26
Borrowed
7
Casual labour
12
Credit/Loan
20
Food Aid
3
Gift
26
Hunting / gathering/fishing
104
Purchased
2898
own farm production
51
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
2898
2738
0
240000
12972.302
14398.551
g1e_11. From who did you buy most of the food most of the Fish: shellfish, tinne
2896
0
Native households
335
Native households Other refugee households
16
Native households Other refugee households Traders
3
Native households Traders
17
Other (specify)
27
Other (specify) Traders
1
Other refugee households
311
Other refugee households Native households
22
Other refugee households Native households Traders
2
Other refugee households Traders
19
Other refugee households Traders Native households
3
Traders
2095
Traders Native households
24
Traders Native households Other refugee households
5
Traders Other (specify)
1
Traders Other refugee households
15
Specify other:85
29
0
Buy from fishermen
1
Fisherman
2
Fishermen
5
Free from the children
1
Itinerant traders
1
Landing site
1
Market
16
River bank
1
She sells silver fish
1
What percentage of Fish( shellfish, tinned tuna, seafood, tilapia, omena, etc )d
396
5240
0
100
85.111
26.887
What percentage of Fish( shellfish, tinned tuna, seafood, tilapia, omena, etc )d
427
5209
0
100
84.913
25.906
What percentage of Fish( shellfish, tinned tuna, seafood, tilapia, omena, etc )d
2185
3451
0
100
93.25
21.322
What percentage of Fish( shellfish, tinned tuna, seafood, tilapia, omena, etc )d
29
5607
20
100
95.172
16.609
g1f_11. Where did you buy most of the Fish: shellfish, tinned tuna, seafood, til
2896
0
Closest town
184
Closest town Here
6
Closest town Neighbouring village
3
Closest town Neighbouring village Here
1
Closest town Trade centres
7
Here
752
Here Closest town
5
Here Closest town Neighbouring village
2
Here Closest town Trade centres
3
Here Itinerant trader
2
Here Neighbouring village
33
Here Neighbouring village Closest town
1
Here Neighbouring village Trade centres
6
Here Neighbouring village Trade centres Closest town
1
Here Trade centres
58
Here Trade centres Closest town
1
Here Trade centres Itinerant trader
2
Here Trade centres Neighbouring village
3
Itinerant trader
59
Itinerant trader Trade centres
2
Neighbouring village
144
Neighbouring village Closest town
3
Neighbouring village Closest town Trade centres Here
1
Neighbouring village Here
11
Neighbouring village Here Trade centres
3
Neighbouring village Itinerant trader Here Trade centres
1
Neighbouring village Trade centres
8
Other
11
Other Trade centres
1
Trade centres
1519
Trade centres Closest town
10
Trade centres Closest town Here
1
Trade centres Closest town Neighbouring village
2
Trade centres Here
24
Trade centres Here Closest town
1
Trade centres Here Neighbouring village
2
Trade centres Itinerant trader
6
Trade centres Neighbouring village
15
Trade centres Neighbouring village Here
2
Specify other:86
12
0
Bele Camp
1
Landing site
4
Market
5
Ubbi landing site
1
Water stream source
1
g1a. Did you or any member of the household eat Eggs IN THE LAST 24 HOURS?
5636
0
No
5321
Yes
315
g1b. Days eaten Eggs IN THE PAST 7 DAYS:
5636
0
0
100
0.225
1.487
g1c. Primary source of Eggs
655
0
Barter
4
Borrowed
1
Casual labour
4
Credit/Loan
2
Food Aid
1
Gift
17
Purchased
245
own farm production
381
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
245
5391
0
80000
8153.882
9210.256
g1e_12. From who did you buy most of the food most of the Eggs?
242
0
Native households
48
Native households Traders
4
Other (specify)
1
Other refugee households
32
Other refugee households Native households
2
Other refugee households Traders
1
Traders
151
Traders Native households
3
Specify other:87
1
0
Itinerant rader
1
What percentage of Eggs did you buy from [other refugee households] ?
35
5601
0
100
86.314
30.7
What percentage of Eggs did you buy from [native households]?
57
5579
5
100
85.491
26.796
What percentage of Eggs did you buy from [traders]?
159
5477
20
100
94.529
16.469
What percentage of Eggs did you buy from ${g1e_12other}?
1
5635
100
100
100
g1f_12. Where did you buy most of the Eggs?
242
0
Closest town
13
Here
88
Here Neighbouring village
1
Here Trade centres
5
Itinerant trader
4
Itinerant trader Trade centres Closest town
1
Neighbouring village
21
Neighbouring village Here
1
Neighbouring village Trade centres
1
Other
1
Trade centres
104
Trade centres Here
2
Specify other:88
1
0
My neighbour
1
g1a. Did you or any member of the household eat/consume Milk, mala, yoghurt, che
5636
0
No
5167
Yes
469
g1b. Days eaten/consumed Milk, mala, yoghurt, cheese IN THE PAST 7 DAYS:
5636
0
0
3000
1.002
39.982
g1c. Primary source of Milk, mala, yoghurt, cheese
714
0
Barter
8
Borrowed
4
Casual labour
4
Credit/Loan
8
Food Aid
3
Gift
26
Purchased
462
own farm production
199
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
462
5174
0
120000
14808.662
14360.205
g1e_13. From who did you buy most of the food most of the Milk, mala, yoghurt, c
460
0
Native households
196
Native households Traders
5
Other (specify)
9
Other refugee households
45
Other refugee households Traders
3
Traders
201
Traders Native households
1
Specify other:89
9
0
Bought from neighbours
1
Itinerant traders
6
Itineratetraders
1
Restaurant
1
What percentage of Milk, mala, yoghurt, cheese etc did you buy from [other refug
48
5588
0
100
89.417
27.62
What percentage of Milk, mala, yoghurt, cheese etc did you buy from [native hous
202
5434
0
100
92.411
23.361
What percentage of Milk, mala, yoghurt, cheese etc did you buy from [traders]?
210
5426
0
100
90.594
23.897
What percentage of Milk, mala, yoghurt, cheese etc did you buy from ${g1e_13othe
9
5627
100
100
100
0
g1f_13. Where did you buy most of the Milk, mala, yoghurt, cheese?
460
0
Closest town
36
Closest town Here
1
Closest town Itinerant trader
1
Here
214
Here Closest town
1
Here Itinerant trader
1
Here Neighbouring village
2
Here Neighbouring village Closest town Trade centres
1
Here Trade centres
2
Itinerant trader
47
Itinerant trader Closest town
1
Itinerant trader Trade centres
1
Neighbouring village
43
Neighbouring village Here
4
Neighbouring village Itinerant trader
1
Other
2
Trade centres
98
Trade centres Here
2
Trade centres Here Neighbouring village
1
Trade centres Itinerant trader
1
Specify other:90
2
0
From Neighbours
1
From my neighbour
1
g1a. Did you or any member of the household eat/consume Sugar and sugar products
5636
0
No
3354
Yes
2282
g1b. Days eaten/consumed Sugar and sugar products IN THE PAST 7 DAYS:
5636
0
0
28000
27.715
696.899
g1c. Primary source of Sugar and sugar products
3146
0
Barter
13
Borrowed
28
Casual labour
9
Credit/Loan
39
Food Aid
42
Gift
30
Hunting / gathering/fishing
2
Purchased
2974
own farm production
9
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
2974
2662
0
300000
14708.995
16242.727
g1e_14. From who did you buy most of the food most of the Sugar and sugar produc
2971
0
Native households
303
Native households Other refugee households
14
Native households Traders
23
Native households Traders Other refugee households
2
Other (specify)
7
Other refugee households
325
Other refugee households Native households
10
Other refugee households Native households Traders
3
Other refugee households Traders
17
Other refugee households Traders Native households
5
Traders
2242
Traders Native households
7
Traders Other (specify)
1
Traders Other refugee households
8
Traders Other refugee households Native households
4
Specify other:91
8
0
Bweyale
1
Family shop
1
From home kiosk
1
From my own shop
1
From own shop
1
1
Own shop
1
Shop
1
388
5248
0
100
89.429
23.329
371
5265
0
100
86.584
25.842
2312
3324
0
100
95.067
17.502
8
5628
90
100
98.75
3.536
g1f_14. Where did you buy most of the Sugar and sugar products?
2971
0
Closest town
168
Closest town Here
3
Closest town Neighbouring village
1
Closest town Neighbouring village Here
1
Closest town Neighbouring village Trade centres
1
Closest town Trade centres
11
Closest town Trade centres Here
1
Closest town Trade centres Neighbouring village
1
Here
872
Here Closest town
5
Here Closest town Neighbouring village Trade centres
1
Here Closest town Trade centres
5
Here Itinerant trader Trade centres
1
Here Neighbouring village
25
Here Neighbouring village Closest town Trade centres
2
Here Neighbouring village Trade centres
1
Here Neighbouring village Trade centres Closest town
1
Here Trade centres
49
Here Trade centres Closest town
1
Here Trade centres Neighbouring village
1
Itinerant trader
5
Neighbouring village
101
Neighbouring village Closest town Trade centres
1
Neighbouring village Here
8
Neighbouring village Here Trade centres
1
Neighbouring village Trade centres
12
Neighbouring village Trade centres Here
1
Other
2
Trade centres
1638
Trade centres Closest town
15
Trade centres Closest town Here
1
Trade centres Closest town Neighbouring village Here
1
Trade centres Here
23
Trade centres Here Closest town
1
Trade centres Here Itinerant trader
1
Trade centres Itinerant trader
1
Trade centres Itinerant trader Here Neighbouring village
2
Trade centres Neighbouring village
5
Trade centres Neighbouring village Here
1
Specify other:92
2
0
Bele Camp
1
Market
1
g1a. Did you or any member of the household consume Oils (from sheanuts, balanit
5636
0
No
3355
Yes
2281
g1b. Days consumed Oils (from sheanuts, balanites) fat and butter IN THE PAST 7
5636
0
0
25000
17.925
540.349
g1c. g1c. Primary source of Oils (from sheanuts, balanites) fat and butter
3309
0
Barter
28
Borrowed
20
Casual labour
16
Credit/Loan
15
Food Aid
955
Gift
29
Hunting / gathering/fishing
4
Purchased
2219
own farm production
23
g1d. g1d. What is the amount spent in the last 30 days for purchasing on cash/cr
2219
3417
0
525000
12945.431
16999.724
g1e_15. From who did you buy most of the food most of the Oils (from sheanuts, b
2217
0
Native households
306
Native households Other refugee households
8
Native households Other refugee households Traders
1
Native households Traders
16
Other (specify)
4
Other refugee households
321
Other refugee households Native households
3
Other refugee households Native households Traders
1
Other refugee households Traders
10
Other refugee households Traders Native households
1
Traders
1523
Traders Native households
5
Traders Other (specify)
1
Traders Other refugee households
16
Traders Other refugee households Native households
1
Specify other:93
5
0
1
Market
1
Own production
1
Own shop
1
She sells oil,
1
What percentage of Oils (from sheanuts, balanites) fat and butter did you buy fr
362
5274
0
100
91.859
22.474
What percentage of Oils (from sheanuts, balanites) fat and butter did you buy fr
342
5294
0.025
100
90.315
21.701
What percentage of Oils (from sheanuts, balanites) fat and butter did you buy fr
1575
4061
0
100
95.24
17.049
What percentage of Oils (from sheanuts, balanites) fat and butter did you buy fr
5
5631
30
100
86
31.305
g1f_15. Where did you buy most of the Oils (from sheanuts, balanites) fat and bu
2217
0
Closest town
123
Closest town Here
4
Closest town Here Trade centres
1
Closest town Trade centres
5
Here
633
Here Closest town
4
Here Closest town Trade centres
2
Here Neighbouring village
19
Here Neighbouring village Closest town Trade centres
1
Here Neighbouring village Trade centres
2
Here Trade centres
39
Here Trade centres Closest town
1
Here Trade centres Neighbouring village Other
1
Itinerant trader
4
Neighbouring village
107
Neighbouring village Closest town
1
Neighbouring village Here
7
Neighbouring village Trade centres
7
Other
1
Trade centres
1219
Trade centres Closest town
11
Trade centres Closest town Here
1
Trade centres Here
16
Trade centres Itinerant trader
2
Trade centres Neighbouring village
6
Specify other:94
2
0
Bele camp
1
1
g1a. Did you or any member of the household consume Condiments/alcohol: coffee,
5636
0
No
858
Yes
4778
g1b. Days consumed Condiments/alcohol: coffee, tea, salt, garlic, spices, sauces
5636
0
0
40000
33.246
639.692
g1c. Primary source of Condiments/alcohol: coffee, tea, salt, garlic, spices, sa
5055
0
Barter
27
Borrowed
33
Casual labour
20
Credit/Loan
39
Food Aid
423
Gift
40
Hunting / gathering/fishing
1
Purchased
4446
own farm production
26
g1d. What is the amount spent in the last 30 days for purchasing on cash/credit
4446
1190
0
300000
5512.767
7572.865
g1e_16. From who did you buy most of the food most of the Condiments/alcohol: co
4440
0
Native households
475
Native households Other refugee households
14
Native households Other refugee households Traders
1
Native households Traders
26
Other (specify)
7
Other refugee households
514
Other refugee households Native households
16
Other refugee households Native households Traders
5
Other refugee households Traders
19
Traders
3320
Traders Native households
18
Traders Native households Other refugee households
4
Traders Other refugee households
16
Traders Other refugee households Native households
5
Specify other:95
7
0
My own shop
1
Own shop
2
Personal shop
1
Shop
1
Shopkeeper
1
They sell salt
1
What percentage of Condiments/alcohol( coffee, tea, salt, etc) did you buy from
594
5042
0
100
89.819
24.014
What percentage of Condiments/alcohol( coffee, tea, salt, etc) did you buy from
564
5072
0
100
87.049
25.255
What percentage of Condiments/alcohol( coffee, tea, salt, etc) did you buy from
3414
2222
0
100
94.491
19.9
What percentage of Condiments/alcohol( coffee, tea, salt, etc) did you buy from
7
5629
50
100
92.857
18.898
g1f_16. Where did you buy most of the Condiments/alcohol: coffee, tea, salt, gar
4440
0
Closest town
202
Closest town Here
2
Closest town Neighbouring village
1
Closest town Trade centres
7
Closest town Trade centres Here
1
Closest town Trade centres Itinerant trader Neighbouring village
1
Closest town Trade centres Neighbouring village Here
1
Here
1427
Here Closest town
4
Here Closest town Neighbouring village
1
Here Closest town Trade centres
1
Here Itinerant trader
2
Here Neighbouring village
30
Here Neighbouring village Closest town
2
Here Neighbouring village Closest town Trade centres
1
Here Neighbouring village Trade centres
7
Here Trade centres
97
Here Trade centres Closest town
2
Here Trade centres Neighbouring village
2
Itinerant trader
14
Itinerant trader Trade centres
1
Neighbouring village
121
Neighbouring village Closest town
3
Neighbouring village Here
11
Neighbouring village Here Trade centres
1
Neighbouring village Trade centres
7
Neighbouring village Trade centres Itinerant trader
1
Other
2
Trade centres
2432
Trade centres Closest town
4
Trade centres Closest town Here
1
Trade centres Closest town Neighbouring village
2
Trade centres Here
28
Trade centres Here Itinerant trader
1
Trade centres Here Neighbouring village
2
Trade centres Itinerant trader
3
Trade centres Itinerant trader Here
1
Trade centres Neighbouring village
11
Trade centres Neighbouring village Closest town
1
Trade centres Neighbouring village Here
1
Trade centres Other
1
Specify other:96
3
0
Bele camp
1
Friends
1
Shopkeeper
1
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
G2_1. How often (days) had your household had to rely on less preferred or less
5636
0
0
332
3.071
5.209
G2_2. How often (days) had your household had to Purchase food on credit
5636
0
0
70
0.922
1.637
G2_3. How often (days) had your household had to Borrow food, or rely on help fr
5636
0
0
70
0.763
1.718
G2_4. How often (days) had your household had to Gather wild foods, “famine food
5636
0
0
40
0.593
1.295
G2_5. How often (days) had your household had to Harvest and consume immature cr
5636
0
0
40
0.573
1.333
G2_6. How often (days) had your household had to Consume seed stock that will be
5636
0
0
43
0.556
1.389
G2_7. How often (days) had your household had to Send household member elsewhere
5636
0
0
21
0.26
0.876
G2_8. How often (days) had your household had to Limit portion size at meal time
5636
0
0
70
2.148
2.645
G2_9. How often (days) had your household had to Reduce consumption by adults in
5636
0
0
23
0.792
1.678
G2_10. How often (days) had your household had to Reduce consumption by others s
5636
0
0
33
0.351
1.148
G2_11. How often (days) had your household had to Go one entire day without eati
5636
0
0
30
0.494
1.194
G2_12. How often (days) had your household had to Reduce the number of meals in
5636
0
0
74
2.185
3.036
G2_13. How often (days) had your household had to Beg for food
5636
0
0
22
0.424
1.05
G2_14. How often (days) had your household had to Sell natural resources product
5636
0
0
21
0.27
0.951
G2_15. How often (days) had your household had to Enrollment of children to scho
5636
0
0
60
0.149
1.016
G2_16. How often (days) had your household had to Sell (small) assets
5636
0
0
33
0.135
0.76
G2_17. How often (days) had your household had to Bartering
5636
0
0
21
0.412
0.993
G2_18. How often (days) had your household had to Food for work (exchange labour
5636
0
0
5000
1.53
66.617
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
H1. Are there any members of your household that belong to, participate, or is a
5636
Church/Mosque group [not just attendance to these]
135
Church/Mosque group [not just attendance to these] Community based organizations
4
Church/Mosque group [not just attendance to these] Community based organizations Farmers' association
1
Church/Mosque group [not just attendance to these] Community based organizations Youth Group Self Help Group
1
Church/Mosque group [not just attendance to these] Farmers' association
3
Church/Mosque group [not just attendance to these] Farmers' association Savings Group [VICOBA, Merry-go round, etc.]
1
Church/Mosque group [not just attendance to these] Marketing Association
1
Church/Mosque group [not just attendance to these] None
1
Church/Mosque group [not just attendance to these] Savings Group [VICOBA, Merry-go round, etc.]
68
Church/Mosque group [not just attendance to these] Savings Group [VICOBA, Merry-go round, etc.] Community based organizations
1
Church/Mosque group [not just attendance to these] Savings Group [VICOBA, Merry-go round, etc.] Farmers' association
1
Church/Mosque group [not just attendance to these] Savings Group [VICOBA, Merry-go round, etc.] Self Help Group
1
Church/Mosque group [not just attendance to these] Savings Group [VICOBA, Merry-go round, etc.] Water Users Association
1
Church/Mosque group [not just attendance to these] Savings Group [VICOBA, Merry-go round, etc.] Youth Group
1
Church/Mosque group [not just attendance to these] Savings Group [VICOBA, Merry-go round, etc.] Youth Group Community based organizations
1
Church/Mosque group [not just attendance to these] Self Help Group
1
Church/Mosque group [not just attendance to these] Water Users Association
2
Church/Mosque group [not just attendance to these] Youth Group
13
Church/Mosque group [not just attendance to these] Youth Group Savings Group [VICOBA, Merry-go round, etc.]
6
Church/Mosque group [not just attendance to these] Youth Group Savings Group [VICOBA, Merry-go round, etc.] Water Users Association
1
Community based organizations
101
Community based organizations Church/Mosque group [not just attendance to these]
6
Community based organizations Church/Mosque group [not just attendance to these] Youth Group
4
Community based organizations Farmers' association
1
Community based organizations Farmers' association Savings Group [VICOBA, Merry-go round, etc.]
3
Community based organizations Farmers' association Savings Group [VICOBA, Merry-go round, etc.] Self Help Group
1
Community based organizations Farmers' association Self Help Group
1
Community based organizations Savings Group [VICOBA, Merry-go round, etc.]
26
Community based organizations Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these]
6
Community based organizations Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Self Help Group
1
Community based organizations Savings Group [VICOBA, Merry-go round, etc.] Cooperative society
1
Community based organizations Savings Group [VICOBA, Merry-go round, etc.] Farmers' association
2
Community based organizations Savings Group [VICOBA, Merry-go round, etc.] Self Help Group Youth Group
1
Community based organizations Savings Group [VICOBA, Merry-go round, etc.] Water Users Association Youth Group
1
Community based organizations Self Help Group
21
Community based organizations Self Help Group Church/Mosque group [not just attendance to these]
2
Community based organizations Self Help Group Church/Mosque group [not just attendance to these] Savings Group [VICOBA, Merry-go round, etc.]
1
Community based organizations Self Help Group Church/Mosque group [not just attendance to these] Youth Group
1
Community based organizations Self Help Group Cooperative society Church/Mosque group [not just attendance to these] Savings Group [VICOBA, Merry-go round, etc.]
1
Community based organizations Self Help Group Cooperative society Savings Group [VICOBA, Merry-go round, etc.]
1
Community based organizations Self Help Group Farmers' association
1
Community based organizations Self Help Group Savings Group [VICOBA, Merry-go round, etc.]
6
Community based organizations Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these]
4
Community based organizations Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Farmers' association
1
Community based organizations Youth Group
1
Community based organizations Youth Group Church/Mosque group [not just attendance to these]
4
Cooperative society
9
Cooperative society Church/Mosque group [not just attendance to these]
2
Cooperative society Community based organizations
1
Cooperative society Community based organizations Self Help Group Farmers' association Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these]
1
Cooperative society Farmers' association
2
Cooperative society Farmers' association Savings Group [VICOBA, Merry-go round, etc.]
2
Cooperative society Savings Group [VICOBA, Merry-go round, etc.]
7
Cooperative society Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these]
1
Cooperative society Savings Group [VICOBA, Merry-go round, etc.] Farmers' association
1
Cooperative society Savings Group [VICOBA, Merry-go round, etc.] Youth Group
2
Cooperative society Water Users Association Savings Group [VICOBA, Merry-go round, etc.]
1
Farmers' association
133
Farmers' association Church/Mosque group [not just attendance to these]
1
Farmers' association Community based organizations
2
Farmers' association Cooperative society Community based organizations
1
Farmers' association Savings Group [VICOBA, Merry-go round, etc.]
23
Farmers' association Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Community based organizations
1
Farmers' association Savings Group [VICOBA, Merry-go round, etc.] Cooperative society
1
Farmers' association Savings Group [VICOBA, Merry-go round, etc.] Self Help Group Cooperative society Marketing Association Community based organizations Church/Mosque group [not just attendance to these]
1
Farmers' association Self Help Group Cooperative society
1
Farmers' association Self Help Group Savings Group [VICOBA, Merry-go round, etc.]
1
Marketing Association
2
Marketing Association Cooperative society
1
Marketing Association None
1
Marketing Association Savings Group [VICOBA, Merry-go round, etc.]
2
None
2729
None Church/Mosque group [not just attendance to these]
2
None Cooperative society Farmers' association
1
None Farmers' association
1
None Farmers' association Savings Group [VICOBA, Merry-go round, etc.]
1
None Marketing Association
3
None Savings Group [VICOBA, Merry-go round, etc.]
8
None Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these]
1
None Savings Group [VICOBA, Merry-go round, etc.] Cooperative society Self Help Group Community based organizations
1
None Savings Group [VICOBA, Merry-go round, etc.] Farmers' association
1
None Savings Group [VICOBA, Merry-go round, etc.] Water Users Association
1
None Self Help Group
1
None Self Help Group Community based organizations Cooperative society Savings Group [VICOBA, Merry-go round, etc.] Farmers' association
1
None Self Help Group Cooperative society Savings Group [VICOBA, Merry-go round, etc.]
1
None Self Help Group Farmers' association
1
None Youth Group
1
Savings Group [VICOBA, Merry-go round, etc.]
1484
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these]
92
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Community based organizations
2
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Community based organizations Self Help Group
1
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Cooperative society
1
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Cooperative society Community based organizations
1
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Cooperative society Self Help Group
1
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Farmers' association
1
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Marketing Association Community based organizations
1
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Self Help Group
4
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Water Users Association
1
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Water Users Association Community based organizations Cooperative society Self Help Group
1
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Water Users Association Farmers' association
1
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Youth Group
7
Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Youth Group Self Help Group
1
Savings Group [VICOBA, Merry-go round, etc.] Community based organizations
18
Savings Group [VICOBA, Merry-go round, etc.] Community based organizations Church/Mosque group [not just attendance to these]
1
Savings Group [VICOBA, Merry-go round, etc.] Community based organizations Church/Mosque group [not just attendance to these] Farmers' association
1
Savings Group [VICOBA, Merry-go round, etc.] Community based organizations Farmers' association Self Help Group
1
Savings Group [VICOBA, Merry-go round, etc.] Community based organizations Self Help Group
1
Savings Group [VICOBA, Merry-go round, etc.] Community based organizations Self Help Group Church/Mosque group [not just attendance to these]
2
Savings Group [VICOBA, Merry-go round, etc.] Community based organizations Self Help Group Cooperative society
2
Savings Group [VICOBA, Merry-go round, etc.] Community based organizations Youth Group Church/Mosque group [not just attendance to these]
1
Savings Group [VICOBA, Merry-go round, etc.] Cooperative society
14
Savings Group [VICOBA, Merry-go round, etc.] Cooperative society Community based organizations Church/Mosque group [not just attendance to these]
1
Savings Group [VICOBA, Merry-go round, etc.] Cooperative society Community based organizations Self Help Group
1
Savings Group [VICOBA, Merry-go round, etc.] Cooperative society Farmers' association
4
Savings Group [VICOBA, Merry-go round, etc.] Cooperative society Self Help Group
2
Savings Group [VICOBA, Merry-go round, etc.] Cooperative society Self Help Group Church/Mosque group [not just attendance to these]
1
Savings Group [VICOBA, Merry-go round, etc.] Cooperative society Self Help Group Community based organizations
2
Savings Group [VICOBA, Merry-go round, etc.] Cooperative society Youth Group
1
Savings Group [VICOBA, Merry-go round, etc.] Cooperative society Youth Group Self Help Group
1
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association
62
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Church/Mosque group [not just attendance to these]
6
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Community based organizations
1
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Community based organizations Church/Mosque group [not just attendance to these]
1
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Cooperative society
1
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Cooperative society Self Help Group
2
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Cooperative society Self Help Group Community based organizations
1
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Self Help Group
3
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Self Help Group Church/Mosque group [not just attendance to these]
1
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Self Help Group Cooperative society
1
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Water Users Association Church/Mosque group [not just attendance to these]
1
Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Youth Group Church/Mosque group [not just attendance to these] Community based organizations
1
Savings Group [VICOBA, Merry-go round, etc.] Marketing Association
2
Savings Group [VICOBA, Merry-go round, etc.] Marketing Association Church/Mosque group [not just attendance to these]
1
Savings Group [VICOBA, Merry-go round, etc.] Self Help Group
53
Savings Group [VICOBA, Merry-go round, etc.] Self Help Group Church/Mosque group [not just attendance to these]
4
Savings Group [VICOBA, Merry-go round, etc.] Self Help Group Church/Mosque group [not just attendance to these] Youth Group
1
Savings Group [VICOBA, Merry-go round, etc.] Self Help Group Community based organizations
13
Savings Group [VICOBA, Merry-go round, etc.] Self Help Group Community based organizations Church/Mosque group [not just attendance to these]
1
Savings Group [VICOBA, Merry-go round, etc.] Self Help Group Cooperative society
1
Savings Group [VICOBA, Merry-go round, etc.] Self Help Group Cooperative society Community based organizations
2
Savings Group [VICOBA, Merry-go round, etc.] Self Help Group Farmers' association
6
Savings Group [VICOBA, Merry-go round, etc.] Water Users Association
6
Savings Group [VICOBA, Merry-go round, etc.] Water Users Association Community based organizations
1
Savings Group [VICOBA, Merry-go round, etc.] Youth Group
13
Savings Group [VICOBA, Merry-go round, etc.] Youth Group Church/Mosque group [not just attendance to these]
6
Savings Group [VICOBA, Merry-go round, etc.] Youth Group Cooperative society
1
Savings Group [VICOBA, Merry-go round, etc.] Youth Group Farmers' association
1
Self Help Group
177
Self Help Group Church/Mosque group [not just attendance to these]
5
Self Help Group Church/Mosque group [not just attendance to these] Savings Group [VICOBA, Merry-go round, etc.]
1
Self Help Group Community based organizations
14
Self Help Group Community based organizations Cooperative society Church/Mosque group [not just attendance to these]
1
Self Help Group Community based organizations Cooperative society Savings Group [VICOBA, Merry-go round, etc.] Farmers' association Church/Mosque group [not just attendance to these]
1
Self Help Group Community based organizations Savings Group [VICOBA, Merry-go round, etc.]
5
Self Help Group Community based organizations Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Youth Group
1
Self Help Group Community based organizations Savings Group [VICOBA, Merry-go round, etc.] Cooperative society
1
Self Help Group Community based organizations Savings Group [VICOBA, Merry-go round, etc.] Farmers' association
1
Self Help Group Community based organizations Savings Group [VICOBA, Merry-go round, etc.] Youth Group Church/Mosque group [not just attendance to these]
1
Self Help Group Cooperative society
1
Self Help Group Cooperative society Community based organizations Savings Group [VICOBA, Merry-go round, etc.]
1
Self Help Group Cooperative society Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these]
1
Self Help Group Farmers' association
8
Self Help Group Farmers' association Savings Group [VICOBA, Merry-go round, etc.]
3
Self Help Group Farmers' association Savings Group [VICOBA, Merry-go round, etc.] Youth Group Church/Mosque group [not just attendance to these]
1
Self Help Group Farmers' association Water Users Association
1
Self Help Group Savings Group [VICOBA, Merry-go round, etc.]
73
Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these]
6
Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these] Community based organizations
1
Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Community based organizations
3
Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Community based organizations Farmers' association
1
Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Cooperative society
1
Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Cooperative society Community based organizations
1
Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Cooperative society Farmers' association
1
Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Farmers' association
2
Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Water Users Association Youth Group
1
Self Help Group Savings Group [VICOBA, Merry-go round, etc.] Youth Group Church/Mosque group [not just attendance to these]
3
Self Help Group Youth Group
1
Self Help Group Youth Group Savings Group [VICOBA, Merry-go round, etc.]
2
Water Users Association
13
Water Users Association Farmers' association
1
Water Users Association Savings Group [VICOBA, Merry-go round, etc.]
1
Water Users Association Self Help Group
1
Water Users Association Youth Group Church/Mosque group [not just attendance to these]
1
Youth Group
29
Youth Group Church/Mosque group [not just attendance to these]
11
Youth Group Church/Mosque group [not just attendance to these] Community based organizations
1
Youth Group Church/Mosque group [not just attendance to these] Savings Group [VICOBA, Merry-go round, etc.]
3
Youth Group Church/Mosque group [not just attendance to these] Self Help Group
1
Youth Group Community based organizations
1
Youth Group Cooperative society
1
Youth Group Farmers' association
1
Youth Group Savings Group [VICOBA, Merry-go round, etc.]
5
Youth Group Savings Group [VICOBA, Merry-go round, etc.] Church/Mosque group [not just attendance to these]
2
Youth Group Water Users Association
1
H1. Are there any members of your household that belong to, participate, or is a
5636
0
0
1
0.489
0.5
0
2880
1
2756
H1. Are there any members of your household that belong to, participate, or is a
5636
0
0
1
0.0546
0.227
0
5328
1
308
H1. Are there any members of your household that belong to, participate, or is a
5636
0
0
1
0.0864
0.281
0
5149
1
487
H1. Are there any members of your household that belong to, participate, or is a
5636
0
0
1
0.0165
0.127
0
5543
1
93
H1. Are there any members of your household that belong to, participate, or is a
5636
0
0
1
0.055
0.228
0
5326
1
310
H1. Are there any members of your household that belong to, participate, or is a
5636
0
0
1
0.384
0.486
0
3470
1
2166
H1. Are there any members of your household that belong to, participate, or is a
5636
0
0
1
0.00266
0.0515
0
5621
1
15
H1. Are there any members of your household that belong to, participate, or is a
5636
0
0
1
0.00674
0.0818
0
5598
1
38
H1. Are there any members of your household that belong to, participate, or is a
5636
0
0
1
0.0247
0.155
0
5497
1
139
H1. Are there any members of your household that belong to, participate, or is a
5636
0
0
1
0.0834
0.276
0
5166
1
470
H2. Did ANYONE in this household receive training in any of the following topics
5636
Agribusiness and value addition
39
Agribusiness and value addition Business and marketing skills
6
1
1
1
1
Agribusiness and value addition Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
3
Agribusiness and value addition Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Business and marketing skills
1
Agribusiness and value addition Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Crop pest and disease control and food safety (use of pesticides,
1
1
1
Agribusiness and value addition Livestock management (feeding, management)
1
Agribusiness and value addition None
3
2
1
1
1
2
Business and marketing skills
180
Business and marketing skills Agribusiness and value addition
9
Business and marketing skills Agribusiness and value addition Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
1
Business and marketing skills Agribusiness and value addition Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Crop pest and disease control and fo
1
Business and marketing skills Agribusiness and value addition Livestock management (feeding, management)
1
Business and marketing skills Agribusiness and value addition Vocational training
1
1
1
1
2
Business and marketing skills Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
19
1
1
Business and marketing skills Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Use and access to climate and weather information
1
2
1
Business and marketing skills Livestock management (feeding, management) Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
1
Business and marketing skills Management of Natural resources (water, pasture, forests etc)
3
Business and marketing skills Management of Natural resources (water, pasture, forests etc) Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Climat
1
Business and marketing skills None
1
Business and marketing skills Vocational training
5
Business and marketing skills Vocational training Agribusiness and value addition
1
34
2
1
1
1
2
1
1
14
4
1
1
2
17
1
2
1
2
10
3
1
2
2
1
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
298
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Agribusiness and value addition
6
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Agribusiness and value addition Crop pest and disease control and food safety (use of pesticides,
1
1
1
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Business and marketing skills
26
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Business and marketing skills Agribusiness and value addition
1
1
90
41
6
1
1
3
1
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Livestock management (feeding, management)
2
2
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Management of Natural resources (water, pasture, forests etc)
3
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Management of Natural resources (water, pasture, forests etc) Business and marketing skills Agribu
1
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Management of Natural resources (water, pasture, forests etc) Climate Smart Agriculture (water con
2
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Management of Natural resources (water, pasture, forests etc) Crop pest and disease control and fo
2
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Management of Natural resources (water, pasture, forests etc) How to prevent or deal with Disaster
1
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Management of Natural resources (water, pasture, forests etc) Use and access to climate and weathe
4
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) None
1
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Use and access to climate and weather information
7
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Use and access to climate and weather information Agribusiness and value addition
1
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Use and access to climate and weather information Climate Smart Agriculture (water conservation/ha
4
2
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Vocational training
5
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Vocational training Livestock management (feeding, management)
1
75
2
2
1
4
4
1
4
1
8
3
2
1
19
1
2
4
21
1
5
1
1
1
10
5
2
3
3
1
1
2
7
1
4
Livestock management (feeding, management)
15
1
1
1
Management of Natural resources (water, pasture, forests etc)
36
Management of Natural resources (water, pasture, forests etc) Agribusiness and value addition
1
Management of Natural resources (water, pasture, forests etc) Business and marketing skills
1
Management of Natural resources (water, pasture, forests etc) Business and marketing skills Livestock management (feeding, management)
1
1
1
Management of Natural resources (water, pasture, forests etc) Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Climate Smart Agriculture (water con
4
1
1
1
None
4316
None Agribusiness and value addition
1
None Agribusiness and value addition Business and marketing skills
1
None Agribusiness and value addition Business and marketing skills Livestock management (feeding, management)
1
2
None Business and marketing skills
1
5
1
1
None Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
2
1
1
1
None Livestock management (feeding, management)
2
1
None Management of Natural resources (water, pasture, forests etc)
2
None Vocational training
7
Use and access to climate and weather information
7
1
1
Use and access to climate and weather information Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
2
Use and access to climate and weather information Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Climate Smart Agriculture (water conservation/ha
2
2
2
1
Use and access to climate and weather information Management of Natural resources (water, pasture, forests etc)
1
1
Use and access to climate and weather information Management of Natural resources (water, pasture, forests etc) Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and
3
1
Use and access to climate and weather information Vocational training Business and marketing skills
1
Vocational training
61
1
Vocational training Business and marketing skills
3
Vocational training Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
3
Vocational training Livestock management (feeding, management) Business and marketing skills
1
Vocational training Management of Natural resources (water, pasture, forests etc)
1
Vocational training None
1
277
Fall Armyworm control, aflatoxin prevention),
2
Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Agribusiness and value addition
1
agroforestry)
5
agroforestry) Business and marketing skills
1
2
1
1
1
1
1
and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Management of Natural resources (water, pasture, forests etc)
1
apid disease outbreak)
1
atoxin prevention), Management of Natural resources (water, pasture, forests etc)
1
ccination, treatment)
1
climate and weather information
2
1
1
24
ease outbreak)
1
1
6
1
1
ent (feeding, management)
1
er use/Irrigation, crop diversification and agroforestry)
1
eting skills
3
2
ication and agroforestry)
8
ication and agroforestry) Agribusiness and value addition Business and marketing skills
1
4
1
4
1
isease control, water use/Irrigation, crop diversification and agroforestry) Management of Natural resources (water, pasture, forests etc)
1
iversification and agroforestry)
1
iversification and agroforestry) Agribusiness and value addition Business and marketing skills
1
1
1
lection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
2
n prevention),
29
n prevention), Agribusiness and value addition
3
n prevention), Business and marketing skills
2
n prevention), Business and marketing skills Agribusiness and value addition
1
n prevention), Business and marketing skills Agribusiness and value addition Livestock management (feeding, management)
1
1
1
3
1
2
1
3
1
1
ought tolerant crop varieties, intercropping, minimal tillage,
1
ought tolerant crop varieties, intercropping, minimal tillage, Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
1
ought tolerant crop varieties, intercropping, minimal tillage, Vocational training Good agricultural practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Management of N
1
1
practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
3
practices (Soil fertility, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry) Business and marketing skills
1
r information
1
2
1
ropping, minimal tillage,
51
ropping, minimal tillage, Agribusiness and value addition
1
ropping, minimal tillage, Business and marketing skills
1
27
1
1
1
1
ropping, minimal tillage, Livestock management (feeding, management)
1
ropping, minimal tillage, Management of Natural resources (water, pasture, forests etc)
1
1
1
ropping, minimal tillage, Management of Natural resources (water, pasture, forests etc) Use and access to climate and weather information Vocational training
1
ropping, minimal tillage, Use and access to climate and weather information
1
1
1
5
1
1
1
se outbreak)
1
se outbreak) Management of Natural resources (water, pasture, forests etc) Livestock management (feeding, management)
1
2
1
2
1
siness and value addition Livestock management (feeding, management)
1
ting skills
1
tion, crop diversification and agroforestry)
3
1
1
tion, treatment)
1
ty, Crop and seed selection, pest and disease control, water use/Irrigation, crop diversification and agroforestry)
1
ue addition
1
ural resources (water, pasture, forests etc)
1
1
1
1
1
value addition
1
21
, rapid disease outbreak)
1
agroforestry)
1
1
atural resources (water, pasture, forests etc) Use and access to climate and weather information
1
cropping, minimal tillage, Business and marketing skills
1
ddition Livestock management (feeding, management)
1
1
in prevention), Livestock management (feeding, management) Agribusiness and value addition
1
nimal tillage,
1
2
1
2
1
1
1
ol, aflatoxin prevention),
1
ol, aflatoxin prevention), Business and marketing skills
1
tion, treatment)
1
value addition Livestock management (feeding, management)
1
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.773
0.419
0
1277
1
4359
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.0458
0.209
0
5378
1
258
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.013
0.113
0
5563
1
73
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.0216
0.146
0
5514
1
122
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.121
0.326
0
4956
1
680
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.0405
0.197
0
5408
1
228
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.038
0.191
0
5422
1
214
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.058
0.234
0
5309
1
327
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.0229
0.15
0
5507
1
129
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.0199
0.14
0
5524
1
112
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.0105
0.102
0
5577
1
59
H2. Did ANYONE in this household receive training in any of the following topics
5636
0
0
1
0.00515
0.0716
0
5607
1
29
Who provided the training?
1273
0
AFFCAD
4
AVSI
39
Action Against Hunger
127
Brac International
14
CESVI
30
Caritas
16
Catholic Relief Services
12
DCA
19
Danish Refugee Council - DRC
25
Finnish Refugee Council
23
Food for the Hungry
16
ILO
1
JRS
1
Kabarole Research Recource Center.
3
KiBO Foundation
2
Lutheran World Federation
78
Mercy Corps
9
Other (Specify)
560
Oxfam
21
Prime Skills Foundation
1
RICE-WN
9
SCI, CERFORD-Norwegian Refugee Council
48
SORUDA
8
Samaritan's Purse
1
Save the Children
22
Self Helf Africa
27
UNDP
2
Uganda Red Cross Society
14
VisionFund Uganda
8
Wageningen university & Research
3
World Vision Uganda
90
YARID (Young Refugees for Integral Development)
4
ZOA
36
Specify other:294
560
A CAV ,JAM
1
A LIGHT
1
A light
1
1
ACAV
30
1
ACAV under World food program
1
ACAV, DRDIP
1
ACAV, JAM
2
ACAV, JAM, HADS
1
ACAV, JAM,HADS
1
ACAV,JAM, HADS
1
ACDP
1
ACF
2
ACFOD
1
ACOV
1
ADRA
10
ADRA AND A LIGHT
1
ADRAA
1
AFOD
1
AFOD , JAM
1
ANDRA
1
AVIS
1
AVSI Red Cross Society
1
AVSI,IPA,ADRA,
1
AWYAD
1
Action Against Hunger
1
Adra
5
Afad, Welt hunger
1
Africa Women Rising
1
African Human Rights
1
African Rising women
1
African Women Raising
5
African Women Rising
5
African woman rising
1
African women Rising
1
African women raising
1
African women rising
2
Agricultural officers
1
1
Arua District Health Inspector
1
Arua Teachers College
1
BRAC
2
BRAC micro finance
1
BSFL
1
Brac
1
Bugema University
2
1
CARE
2
CARE Uganda
1
CARITAS INTERNATIONAL
1
CD EFFECT
1
CEFOD
1
CEFORD
3
CESVI and UCOBAC
1
CESVI,FOA
1
CEVSI,FOA
1
CHS
1
CIFORD
1
CRS
1
CRS Catholic relief society
1
CTEN
1
Cannot remember
1
Caratas
1
Care
1
Caritas
1
Cedefex
1
Ceed effect
1
Ceford
3
Centenary bank
1
Chesire Services Uganda
1
Church
1
Community leaders
1
Compassion International
1
Convoid
1
DCA
1
DRDIP
8
1
DRDIP(development response to displacement imparts project)
1
DRDIP, ACAV, REFUGEE FINANCIAL LITERACY
1
1
District
1
1
District Agricultural officer
1
District Veterinary Officers
1
District local government
1
Doctor Deep
5
Doctor Dip
1
Doctor dip
4
Doesn't remember
1
Don Bosco
2
Don Bosco vocational training center Palabek Uganda
1
Don't remember
1
Dont know
1
Dr Dip
1
Dr deep
1
Dr. DIP
2
Drc
3
ECO
1
1
FAO
9
FAO(AKRIYI
1
1
FINN CHURCH
1
FOA
1
FRC
2
FRC under WFP
1
FRC,ADRA, LWF,AVSI
1
Famers association
1
Fao
1
Finish refugee council( FRC)
1
Finn Church Aid
1
Food For the Hungry
1
Food Path
1
Food and Agriculture Organisation
1
Food for the Hungry
2
Forgotten
1
Franciscan brothers
1
From government agency
1
GIZ
2
GIZ and NRC
1
GIZ, palmo
1
GNT
1
GOU
1
Giz
1
Global
1
Government
1
Government of uganda
1
Government officials
2
Groups savings groups come together
1
Gulu agriculture development company
1
HADS
3
1
HADS ,
1
HADS , C-10
1
HADS and WFP
1
HADS, JAM
1
Hu ger fighters uganda
1
IFA
1
INCHAI
1
IRC
5
IRC International rescue Committee
1
International Resque Committee
1
JAICA
2
JAM
15
JAM ( vegetable growing training)
1
JAM NGO
1
JAM and UMOJA
1
JAM, ACAV
1
JAM, HADS
1
JOA
1
KRC
1
KULIKA
1
Kakinga millers
2
Karitas
1
Karitas Denmark
1
LWF
2
LWF,ADRA, AVSI,SOS,WFP
1
LWF,FRC
1
LWF,FRC,ADRA,
1
LWF,FRC,ADRA,Red Cross ,save the children,Alight
1
LWF,FRC,IPA
1
LWF,Red Cross, AVSI,
1
LWF,SORUDA, CESVI
1
LWF,SORUDA,CESVI
3
LWF,SOS,ADRA,FRC,Alight,Save the children
1
LWF,World Vision
1
Lc1 lugwar central
1
Local Government
2
Local government
1
MTC
1
MTI
2
MUPA
1
Mariam brother
1
Member went to Kampala for self studies
1
1
1
1
Moyo sacco
1
NAADS
1
NEMA
1
NIGI
1
NORU
2
NRC
14
NSAMIZI
1
NSAMIZI,ADRA, lWF,FRC,AVSI,Fin Church
1
NURI
78
1
NURI,DRC
1
National Forest Institution.(Nyabeya)
1
Nature Uganda
1
Ncr
1
Neighbour
1
Nema
1
Nigi
1
Northern Uganda Rural initiatives
1
Norwegian Refugee Council
3
Not applicable
1
Not sure
1
Not sure of the organisation
1
Nsamizi
1
Nuri
3
Nuri and Redcrose
1
Nurii
1
OP,ADRA
1
OPM
2
OXFAM
1
Office of the Prime Minister
1
Ongungari vocational training
1
Operation wealth creation
1
Ox farm
1
Oxfam
1
PALM
2
PROFIRA
1
Palm comb
1
Palm corp
1
Palmcop
1
Pasedo
1
Pentecostal Assemblies of God Aua
1
Plan International
2
Planning for Tomorrow (P4T)
1
1
RICE WESTNILE
2
RISE AFRICAN WOMEN
1
Redcross
1
1
Respondent does not remember
2
Respondent does not remember but they were taught about how to grow rice
1
Respondent does not remember the NGO name
1
Respondent does not remember the organisation
1
Rise Uganda
1
SASA
1
SEED EFFECT
1
Sacco
1
Samaritans pulse,ADRA
1
Save the children
1
Save the children' funds
1
Saving group
2
Seed Effect
2
Seed Effect Uganda
1
Seed effect uganda
1
1
Self within themselves
1
1
1
Send a cow
4
Sub county Chief and LC1 chairman
1
Subcounty production office
1
Suncounty
1
Support
1
Support and Care
1
Switch Contac
1
TPO
2
The fora
1
The respondent does not remember only remembers it was from UN
1
Tpo
1
Training from the garage in Arua City
1
Training on how to use natural resources like the lake in form of fishing by The Fishing UPDF marine soldiers
1
Transitional physiological organisation (TPO)
1
Tutapona ,AVSI,FRC
1
UCOBAC
7
UMOJA, CECI( Care for children)
1
UN
2
UNHCR, ACAV, JAM
1
UNHRC
1
URDMC
1
UWESO
1
Ucobac
1
Uganda Refugee and Disaster Managent Council (URDMC)
1
Uganda government
1
Unhcr
1
Uweso
1
VHT
3
VTC
1
Village Health Team accompanied by LC 1 chairperson
1
Village Heath Team Leader
1
Village saving group sacco
1
WELT HUNGER
5
WELTHHUNGER
1
WFP
3
WINDLE INTERNATIONAL
1
Water mission
1
Wealth Hunger
2
Wealth Hunger Health
1
Wealth hunger
1
Welt Hunger
12
Welt hunger
5
Welthunger
1
Welthungerhilfe
4
Windle International Uganda
1
Window Trust
1
World Vision,LWF
2
World food programme
2
World vision
1
World vission
1
Y global and c ten
2
Youths on move
1
ZOA
1
medical international team (mti)
1
village saving loan association
1
5636
0
0
1080
4.057
38.769
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
H1. Has any member of your household been engaged in any business enterprise in
5627
0
No
4332
Yes
1295
H3. Which income-generating enterprises did individuals in your household operat
1295
Agricultural/Veterinary inputs Store
19
Bodaboda or taxi operator/transporter
58
Bodaboda or taxi operator/transporter Carpenter
1
Bodaboda or taxi operator/transporter Charcoal dealer
2
Bodaboda or taxi operator/transporter Home Brewery
1
Bodaboda or taxi operator/transporter Hotel/food kiosk
1
Bodaboda or taxi operator/transporter Other (specify)
1
Bodaboda or taxi operator/transporter Petty trader (hawking, grocery, airtime)
1
Bodaboda or taxi operator/transporter Salon/Barber shop
2
Bodaboda or taxi operator/transporter Salon/Barber shop Tailor/clothes repair
1
Bodaboda or taxi operator/transporter Shop
3
Bodaboda or taxi operator/transporter Shop Fish processing trader
1
Butchery
6
Butchery Other (specify)
1
Carpenter
23
Carpenter Firewood dealer
1
Chapati Stall
9
Chapati Stall Livestock trader Shop
1
Chapati Stall Other (specify)
1
Charcoal dealer
38
Charcoal dealer Bodaboda or taxi operator/transporter Home Brewery
1
Charcoal dealer Carpenter
1
Charcoal dealer Crop/fruits/nuts processing trader
1
Charcoal dealer Firewood dealer Making Bricks
1
Charcoal dealer Other (specify)
1
Charcoal dealer Salon/Barber shop Livestock trader
1
Clothing/Shoe Store
22
Community health Vets
3
Community health Vets Mill
1
Construction/masonry
16
Construction/masonry Carpenter
1
Construction/masonry Home Brewery
1
Construction/masonry Petty trader (hawking, grocery, airtime)
1
Crafts(basket making, weaving)
12
Crafts(basket making, weaving) Home Brewery
1
Crafts(basket making, weaving) Petty trader (hawking, grocery, airtime) Shop
1
Crop/fruits/nuts processing trader
13
Firewood dealer
14
Firewood dealer Carpenter
1
Fish processing trader
42
Fish processing trader Agricultural/Veterinary inputs Store
1
Fish processing trader Construction/masonry
1
Fish processing trader Other (specify)
1
Fish processing trader Petty trader (hawking, grocery, airtime)
1
Home Brewery
80
Home Brewery Chapati Stall Miraa/ Khat seller
1
Home Brewery Fish processing trader
1
Home Brewery Hotel/food kiosk Shop Clothing/Shoe Store
1
Home Brewery Making Bricks
2
Home Brewery Petty trader (hawking, grocery, airtime)
3
Hotel/food kiosk
40
Hotel/food kiosk Carpenter
1
Livestock products processor (including honey or apicultural products and insects)
2
Livestock trader
13
Livestock trader Livestock products processor (including honey or apicultural products and insects) Petty trader (hawking, grocery, airtime)
1
Making Bricks
21
Making Bricks Petty trader (hawking, grocery, airtime)
1
Mechanic/tyre repair
15
Mechanic/tyre repair Miraa/ Khat seller
1
Mill
11
Mill Other (specify)
1
Miraa/ Khat seller
1
Miraa/ Khat seller Petty trader (hawking, grocery, airtime) Making Bricks Other (specify)
1
None
34
Other (specify)
168
Other (specify) Bodaboda or taxi operator/transporter
1
Other (specify) Crafts(basket making, weaving)
1
Other (specify) Fish processing trader
1
Other (specify) Petty trader (hawking, grocery, airtime)
1
Other (specify) Tailor/clothes repair
1
Petty trader (hawking, grocery, airtime)
330
Petty trader (hawking, grocery, airtime) Bodaboda or taxi operator/transporter
2
Petty trader (hawking, grocery, airtime) Carpenter
2
Petty trader (hawking, grocery, airtime) Carpenter Bodaboda or taxi operator/transporter
1
Petty trader (hawking, grocery, airtime) Chapati Stall
1
Petty trader (hawking, grocery, airtime) Construction/masonry
2
Petty trader (hawking, grocery, airtime) Crafts(basket making, weaving)
1
Petty trader (hawking, grocery, airtime) Home Brewery
2
Petty trader (hawking, grocery, airtime) Mechanic/tyre repair
1
Petty trader (hawking, grocery, airtime) Other (specify)
4
Petty trader (hawking, grocery, airtime) Salon/Barber shop
2
Petty trader (hawking, grocery, airtime) Shop
1
Petty trader (hawking, grocery, airtime) Tailor/clothes repair
2
Pharmacist
6
Salon/Barber shop
19
Salon/Barber shop Bodaboda or taxi operator/transporter
1
Salon/Barber shop Charcoal dealer
1
Salon/Barber shop Making Bricks
1
Salon/Barber shop Other (specify)
1
Salon/Barber shop Petty trader (hawking, grocery, airtime)
1
Shop
158
Shop Construction/masonry Other (specify)
1
Shop Fish processing trader
1
Shop Home Brewery
1
Shop Pharmacist
1
Shop Tailor/clothes repair
2
Tailor/clothes repair
30
Tailor/clothes repair Bodaboda or taxi operator/transporter
1
Tailor/clothes repair Clothing/Shoe Store
1
Tailor/clothes repair Making Bricks
1
Tailor/clothes repair Other (specify)
1
Traditional healer/traditional birth attendants (midwifry)
2
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1261
1
34
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
932
1
363
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1288
1
7
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1123
1
172
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1271
1
24
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1295
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1275
1
20
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1282
1
13
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1278
1
17
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1293
1
2
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1216
1
79
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1252
1
43
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1295
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1255
1
40
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1265
1
30
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1267
1
28
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1272
1
23
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1263
1
32
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1279
1
16
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1200
1
95
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1248
1
47
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1278
1
17
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1291
1
4
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1279
1
16
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1281
1
14
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1245
1
50
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1292
1
3
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1288
1
7
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1291
1
4
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1108
1
187
H3. Which income-generating enterprises did individuals in your household operat
1295
0
0
1282
1
13
Specify other Income-generating entreprise:
187
0
Agricultural produce vending
1
1
Alcohol Distilling
1
Alcohol brewing
2
Alcohol making
2
Artist
1
BODABODA
1
Bakery work
1
Baking
1
Baking bread
1
Bar
7
Bicycle repairer
1
Boda Boda riding
1
Boda boda rider
1
Bodaboda
1
Brewing
2
Brewing Alchol
1
Brewing alcohol
1
Brewing and selling alcohol
1
Brewing local alcohol
2
Brews and sells local waragi
1
Business ( sells tomatoes and egg plant)
1
Buying and reselling food ratios from other Refugees
1
Charcoal
2
Charcoal seller
1
Charging Phones
1
Charging of phone batteries
1
Clinic
1
Cobbler
1
Collects borehole money
1
Cooking oil
1
Crop products
1
1
Cutting grass
1
Demonstration farm
1
Diggi g for other people
1
Digging for other people
18
Digging for people
6
Digging in other people's gardens
1
Digs for other people
1
Distillation of local brew
1
Distilling waraji
1
Drug shop
2
Fetching water for otherhouseholds
1
Fish monger
1
Fishmonger
1
Food kiosk
1
Food stall
1
Frying pan cakes
1
Goat seller
1
Grass selling
1
Hawker
1
Herbalist
1
Local brewery
1
Local brewing of alcohol and selling
1
Local waragi brewer
3
Locally brewing waragi
1
Makes nets for fishing
1
Making local brew called "enguli"
1
Matooke trade
1
Milk dairy
1
Mobile money
1
1
Motorcycle Cyclist
1
Mouldings of cooking points for other households
1
Palm oil seller
1
Pancakes, fried cassava
1
Patrol fuel selling
1
Petrol dealer
1
Phone charging
1
Photograher
1
Planting trees
1
Pot Making
1
Produce buyer
2
Produce buyers
1
Produce dealer
1
Produce dealer in Simsim
1
Querrying
1
Renting the Music system
1
Repairing bicycles
1
Retail selling petrol
1
Retail shop
1
Retail trader
2
1
Sales matooke to mbarara on a bicycle
1
Sand mining
5
Sand seller
1
Se,ling agricultural products in the market and to community members
1
Second hand shoe seller in market
1
Security guard
1
Selling Alcoholic Drinks
1
Selling Milk
1
Selling agricultural products
1
Selling alcohol
1
Selling bananas/matooke
1
Selling dry grass
1
Selling fire wood
1
Selling fish
4
Selling fish (fishmonger)
1
Selling grinded coffee
1
Selling maize flour and being paid in kind
1
Selling matooke
1
1
Selling of firewood in market
1
1
Selling petrol
1
Selling produce
1
Selling silver fish
1
1
Selling vegetable like eggplant ansd tomatoes
1
Selling vegetables
1
Selling water to refugees
1
Sells agricultural products
1
Sells ghee
1
Sells sugar canes
1
Sewing machine
1
1
1
Small scale stone quarrying
1
Small stall for perishables
1
Snacks
1
Stall market seller
1
Stall seller
1
Stone quaring
1
Stone quarrying
1
Stone querrying
1
Tailor
1
Tailoring
1
Teaching
1
Tobacco selling once in a while
1
Trader of maize
1
Tree feller
1
Trees for baking bricks
1
Vegetable seller
1
Viola sells maize in the market
1
Washing shop and some food items like silver fish and greens at the market
1
Water vendor
1
Welding
2
Welding tools
1
Whole sale trader of maize
1
Working in a home
1
H4.1 What was the total revenue from [Petty trader (hawking, grocery, airtime)]
363
5273
0
36500000
976330.579
2483645.614
H5.1 What was the total revenue from [Petty trader (hawking, grocery, airtime)]
363
5273
0
1300000
85181.95
157024.773
H6.1. To whom did you sell your product/service of [Petty trader (hawking, groce
360
0
Native households
60
Native households Other refugee households
56
Native households Other refugee households Other (specify)
1
Native households Other refugee households Traders
2
Native households Traders
3
Native households Traders Other refugee households
4
Other (specify)
1
Other refugee households
106
Other refugee households Native households
66
Other refugee households Native households Traders
8
Other refugee households Traders
4
Other refugee households Traders Native households
1
Traders
24
Traders Native households
11
Traders Native households Other refugee households
9
Traders Other refugee households
2
Traders Other refugee households Native households
2
H6.1. To whom did you sell your product/service of [Petty trader (hawking, groce
360
0
0
99
1
261
H6.1. To whom did you sell your product/service of [Petty trader (hawking, groce
360
0
0
137
1
223
H6.1. To whom did you sell your product/service of [Petty trader (hawking, groce
360
0
0
290
1
70
H6.1. To whom did you sell your product/service of [Petty trader (hawking, groce
360
0
0
358
1
2
Specify other:97
2
0
Buyers
1
Visitor
1
In which % did you sell your product/service to [other refugees]?
261
5375
10
100
69.038
29.914
In which % did you sell your product/service to [native households]?
223
5413
0.5
100
56.532
29.56
In which % did you sell your product/service to [traders]?
70
5566
0
100
59.786
28.798
In which % did you sell your product/service to ${h4_16_1other}?
2
5634
10
100
55
63.64
Where did you sell most of [Petty trader (hawking, grocery, airtime)]?
360
0
Closest town
12
Closest town Here
1
Closest town Trade centres
1
Closest town Trade centres Here
1
Closest town Trade centres Neighbouring village Here
1
Here
180
Here Closest town
2
Here Closest town Trade centres
1
Here Neighbouring village
19
Here Neighbouring village Closest town
3
Here Neighbouring village Closest town Trade centres
2
Here Neighbouring village Trade centres
7
Here Trade centres
14
Here Trade centres Itinerant trader
1
Here Trade centres Neighbouring village
1
Itinerant trader
1
Itinerant trader Here
1
Neighbouring village
20
Neighbouring village Closest town
2
Neighbouring village Closest town Trade centres
1
Neighbouring village Here
6
Neighbouring village Here Closest town
1
Neighbouring village Here Closest town Trade centres Itinerant trader
1
Neighbouring village Trade centres
3
Neighbouring village Trade centres Here
1
Trade centres
59
Trade centres Closest town
1
Trade centres Here
13
Trade centres Here Neighbouring village
1
Trade centres Neighbouring village
1
Trade centres Neighbouring village Itinerant trader
1
Trade centres Other
1
Where did you sell most of [Petty trader (hawking, grocery, airtime)]?/Here
360
5276
0
1
0.714
0.453
0
103
1
257
Sysmiss
5276
Where did you sell most of [Petty trader (hawking, grocery, airtime)]?/Neighbour
360
5276
0
1
0.197
0.398
0
289
1
71
Sysmiss
5276
Where did you sell most of [Petty trader (hawking, grocery, airtime)]?/Closest t
360
5276
0
1
0.0833
0.277
0
330
1
30
Sysmiss
5276
Where did you sell most of [Petty trader (hawking, grocery, airtime)]?/Trade cen
360
5276
0
1
0.311
0.464
0
248
1
112
Sysmiss
5276
Where did you sell most of [Petty trader (hawking, grocery, airtime)]?/Itinerant
360
5276
0
1
0.0139
0.117
0
355
1
5
Sysmiss
5276
Where did you sell most of [Petty trader (hawking, grocery, airtime)]?/Other
360
5276
0
1
0.00278
0.0527
0
359
1
1
Sysmiss
5276
Specify other:98
1
0
Market
1
H4. What was the total revenue from [Butchery] that was realised in the past 12
7
5629
600000
26880000
7138571.429
10003300.17
What was the total revenue from [Butchery)] that was realised in the PAST ONE MO
7
5629
30000
2240000
671428.571
785035.638
To whom did you sell your product/service of [Butchery)]?
7
0
Native households
2
Native households Other refugee households
1
Native households Traders
2
Other refugee households Native households
1
Other refugee households Traders
1
To whom did you sell your product/service of [Butchery)]?/Other refugee househol
7
5629
0
1
0.429
0.535
0
4
1
3
Sysmiss
5629
To whom did you sell your product/service of [Butchery)]?/Native households
7
5629
0
1
0.857
0.378
0
1
1
6
Sysmiss
5629
To whom did you sell your product/service of [Butchery)]?/Traders
7
5629
0
1
0.429
0.535
0
4
1
3
Sysmiss
5629
To whom did you sell your product/service of [Butchery)]?/Other (specify)
7
5629
0
0
0
0
0
7
Sysmiss
5629
In which % did you sell your product/service to [other refugees]?100
3
5633
25
70
48.333
22.546
In which % did you sell your product/service to [native households]?101
6
5630
50
100
70.833
19.083
In which % did you sell your product/service to [traders]?102
3
5633
30
50
36.667
11.547
30
2
50
1
Sysmiss
5633
Where did you sell most of [Butchery)]?
7
0
Here
3
Here Trade centres
1
Trade centres
2
Trade centres Here Neighbouring village
1
Where did you sell most of [Butchery)]?/Here
7
5629
0
1
0.714
0.488
0
2
1
5
Sysmiss
5629
Where did you sell most of [Butchery)]?/Neighbouring village
7
5629
0
1
0.143
0.378
0
6
1
1
Sysmiss
5629
Where did you sell most of [Butchery)]?/Closest town
7
5629
0
0
0
0
0
7
Sysmiss
5629
Where did you sell most of [Butchery)]?/Trade centres
7
5629
0
1
0.571
0.535
0
3
1
4
Sysmiss
5629
Where did you sell most of [Butchery)]?/Itinerant trader
7
5629
0
0
0
0
0
7
Sysmiss
5629
Where did you sell most of [Butchery)]?/Other
7
5629
0
0
0
0
0
7
Sysmiss
5629
H4. What was the total revenue from [Shop] that was realised in the past 12 mont
172
5464
0
72000000
3426226.744
9138364.772
What was the total revenue from [Shop] that was realised in the PAST ONE MONTH?
172
5464
0
6000000
275375.227
671454.539
To whom did you sell your product/service of [Shop]?
165
0
Native households
51
Native households Other (specify)
1
Native households Other refugee households
31
Native households Other refugee households Traders
2
Native households Traders
5
Native households Traders Other refugee households
2
Other (specify)
2
Other refugee households
17
Other refugee households Native households
21
Other refugee households Native households Traders
2
Other refugee households Other (specify)
1
Other refugee households Traders
1
Traders
14
Traders Native households
8
Traders Native households Other refugee households
3
Traders Other refugee households
2
Traders Other refugee households Native households
2
To whom did you sell your product/service of [Shop]?/Other refugee households
165
5471
0
1
0.509
0.501
0
81
1
84
Sysmiss
5471
To whom did you sell your product/service of [Shop]?/Native households
165
5471
0
1
0.776
0.418
0
37
1
128
Sysmiss
5471
To whom did you sell your product/service of [Shop]?/Traders
165
5471
0
1
0.248
0.433
0
124
1
41
Sysmiss
5471
To whom did you sell your product/service of [Shop]?/Other (specify)
165
5471
0
1
0.0242
0.154
0
161
1
4
Sysmiss
5471
Specify other:105
4
0
To any buyer from out side
1
UN AGENCY STAFF
1
URA
2
In which % did you sell your product/service to [other refugees]?106
84
5552
2
100
55.976
29.6
In which % did you sell your product/service to [native households]?107
128
5508
0
100
70.164
28.171
In which % did you sell your product/service to [traders]?108
41
5595
0
100
50.122
29.948
In which % did you sell your product/service to ${h4_16_1other}?109
4
5632
10
100
65
43.589
Where did you sell most of [Shop]?
165
0
Closest town
9
Closest town Neighbouring village Here
1
Closest town Trade centres Itinerant trader
1
Here
72
Here Closest town
1
Here Closest town Itinerant trader
1
Here Neighbouring village
10
Here Neighbouring village Trade centres
2
Here Trade centres
1
Itinerant trader
1
Neighbouring village
11
Neighbouring village Closest town
1
Neighbouring village Closest town Here Trade centres
1
Neighbouring village Here
6
Neighbouring village Trade centres
1
Trade centres
39
Trade centres Closest town Neighbouring village Here
1
Trade centres Here
2
Trade centres Neighbouring village
2
Trade centres Neighbouring village Here
1
Trade centres Neighbouring village Itinerant trader
1
Where did you sell most of [Shop]?/Here
165
5471
0
1
0.6
0.491
0
66
1
99
Sysmiss
5471
Where did you sell most of [Shop]?/Neighbouring village
165
5471
0
1
0.23
0.422
0
127
1
38
Sysmiss
5471
Where did you sell most of [Shop]?/Closest town
165
5471
0
1
0.097
0.297
0
149
1
16
Sysmiss
5471
Where did you sell most of [Shop]?/Trade centres
165
5471
0
1
0.315
0.466
0
113
1
52
Sysmiss
5471
Where did you sell most of [Shop]?/Itinerant trader
165
5471
0
1
0.0242
0.154
0
161
1
4
Sysmiss
5471
Where did you sell most of [Shop]?/Other
165
5471
0
0
0
0
0
165
Sysmiss
5471
H4. What was the total revenue from [Clothing/Shoe Store] that was realised in t
24
5612
120000
14400000
2936250
3455423.981
What was the total revenue from [Clothing/Shoe Store] that was realised in the P
24
5612
20000
2000000
271097.083
449313.597
To whom did you sell your product/service of [Clothing/Shoe Store]?
24
0
Native households
6
Native households Other refugee households
4
Native households Other refugee households Traders
2
Other refugee households
4
Other refugee households Native households
4
Other refugee households Traders Native households
1
Traders
1
Traders Native households
1
Traders Native households Other refugee households
1
To whom did you sell your product/service of [Clothing/Shoe Store]?/Other refuge
24
5612
0
1
0.667
0.482
0
8
1
16
Sysmiss
5612
To whom did you sell your product/service of [Clothing/Shoe Store]?/Native house
24
5612
0
1
0.792
0.415
0
5
1
19
Sysmiss
5612
To whom did you sell your product/service of [Clothing/Shoe Store]?/Traders
24
5612
0
1
0.25
0.442
0
18
1
6
Sysmiss
5612
To whom did you sell your product/service of [Clothing/Shoe Store]?/Other (speci
24
5612
0
0
0
0
0
24
Sysmiss
5612
In which % did you sell your product/service to [other refugees]?112
16
5620
20
100
64.375
28.745
In which % did you sell your product/service to [native households]?113
19
5617
20
100
60.263
28.308
In which % did you sell your product/service to [traders]?114
6
5630
10
100
40.833
30.727
Where did you sell most of [Clothing/Shoe Store]?
24
0
Closest town Here
1
Closest town Trade centres
2
Here
9
Here Closest town Trade centres
1
Here Neighbouring village
2
Here Neighbouring village Closest town Trade centres
1
Here Neighbouring village Closest town Trade centres Itinerant trader
1
Here Neighbouring village Trade centres
1
Here Neighbouring village Trade centres Closest town
1
Here Trade centres
1
Here Trade centres Neighbouring village
1
Itinerant trader
1
Neighbouring village Trade centres
1
Trade centres
1
Where did you sell most of [Clothing/Shoe Store]?/Here
24
5612
0
1
0.792
0.415
0
5
1
19
Sysmiss
5612
Where did you sell most of [Clothing/Shoe Store]?/Neighbouring village
24
5612
0
1
0.333
0.482
0
16
1
8
Sysmiss
5612
Where did you sell most of [Clothing/Shoe Store]?/Closest town
24
5612
0
1
0.292
0.464
0
17
1
7
Sysmiss
5612
Where did you sell most of [Clothing/Shoe Store]?/Trade centres
24
5612
0
1
0.458
0.509
0
13
1
11
Sysmiss
5612
Where did you sell most of [Clothing/Shoe Store]?/Itinerant trader
24
5612
0
1
0.0833
0.282
0
22
1
2
Sysmiss
5612
Where did you sell most of [Clothing/Shoe Store]?/Other
24
5612
0
0
0
0
0
24
Sysmiss
5612
H4. What was the total revenue from [Agricultural/Veterinary inputs Store] that
20
5616
0
45000000
3825300
9833365.848
What was the total revenue from [Agricultural/Veterinary inputs Store] that was
20
5616
0
3750000
508450
901846.555
To whom did you sell your product/service of [Agricultural/Veterinary inputs Sto
19
0
Native households
1
Native households Other refugee households
3
Native households Traders
2
Traders
9
Traders Native households
3
Traders Other refugee households
1
To whom did you sell your product/service of [Agricultural/Veterinary inputs Sto
19
5617
0
1
0.211
0.419
0
15
1
4
Sysmiss
5617
To whom did you sell your product/service of [Agricultural/Veterinary inputs Sto
19
5617
0
1
0.474
0.513
0
10
1
9
Sysmiss
5617
To whom did you sell your product/service of [Agricultural/Veterinary inputs Sto
19
5617
0
1
0.789
0.419
0
4
1
15
Sysmiss
5617
To whom did you sell your product/service of [Agricultural/Veterinary inputs Sto
19
5617
0
0
0
0
0
19
Sysmiss
5617
In which % did you sell your product/service to [other refugees]?124
4
5632
35
60
48.75
10.308
In which % did you sell your product/service to [native households]?125
9
5627
20
70
47.222
16.415
In which % did you sell your product/service to [traders]?126
15
5621
30
100
67.333
27.115
Where did you sell most of [Agricultural/Veterinary inputs Store]?
19
0
Closest town
1
Here
5
Here Neighbouring village Trade centres
1
Here Trade centres
1
Here Trade centres Itinerant trader
1
Trade centres
7
Trade centres Closest town
2
Trade centres Itinerant trader
1
Where did you sell most of [Agricultural/Veterinary inputs Store]?/Here
19
5617
0
1
0.421
0.507
0
11
1
8
Sysmiss
5617
Where did you sell most of [Agricultural/Veterinary inputs Store]?/Neighbouring
19
5617
0
1
0.0526
0.229
0
18
1
1
Sysmiss
5617
Where did you sell most of [Agricultural/Veterinary inputs Store]?/Closest town
19
5617
0
1
0.158
0.375
0
16
1
3
Sysmiss
5617
Where did you sell most of [Agricultural/Veterinary inputs Store]?/Trade centres
19
5617
0
1
0.684
0.478
0
6
1
13
Sysmiss
5617
Where did you sell most of [Agricultural/Veterinary inputs Store]?/Itinerant tra
19
5617
0
1
0.105
0.315
0
17
1
2
Sysmiss
5617
Where did you sell most of [Agricultural/Veterinary inputs Store]?/Other
19
5617
0
0
0
0
0
19
Sysmiss
5617
H4. What was the total revenue from [Mill] that was realised in the past 12 mont
13
5623
50000
10800000
1884615.385
3040525.216
What was the total revenue from [Mill] that was realised in the PAST ONE MONTH?
13
5623
0
1500000
184615.385
402012.964
To whom did you sell your product/service of [Mill]?
13
0
Native households
3
Native households Other refugee households
3
Other refugee households
4
Other refugee households Native households
3
To whom did you sell your product/service of [Mill]?/Other refugee households
13
5623
0
1
0.769
0.439
0
3
1
10
Sysmiss
5623
To whom did you sell your product/service of [Mill]?/Native households
13
5623
0
1
0.692
0.48
0
4
1
9
Sysmiss
5623
To whom did you sell your product/service of [Mill]?/Traders
13
5623
0
0
0
0
0
13
Sysmiss
5623
To whom did you sell your product/service of [Mill]?/Other (specify)
13
5623
0
0
0
0
0
13
Sysmiss
5623
In which % did you sell your product/service to [other refugees]?130
10
5626
25
100
65
31.091
In which % did you sell your product/service to [native households]?131
9
5627
20
100
65
27.157
Where did you sell most of [Mill]?
13
0
Here
9
Here Neighbouring village
1
Neighbouring village
1
Neighbouring village Closest town
1
Neighbouring village Here Trade centres
1
Where did you sell most of [Mill]?/Here
13
5623
0
1
0.846
0.376
0
2
1
11
Sysmiss
5623
Where did you sell most of [Mill]?/Neighbouring village
13
5623
0
1
0.308
0.48
0
9
1
4
Sysmiss
5623
Where did you sell most of [Mill]?/Closest town
13
5623
0
1
0.0769
0.277
0
12
1
1
Sysmiss
5623
Where did you sell most of [Mill]?/Trade centres
13
5623
0
1
0.0769
0.277
0
12
1
1
Sysmiss
5623
Where did you sell most of [Mill]?/Itinerant trader
13
5623
0
0
0
0
0
13
Sysmiss
5623
Where did you sell most of [Mill]?/Other
13
5623
0
0
0
0
0
13
Sysmiss
5623
H4. What was the total revenue from [Mechanic/tyre repair] that was realised in
17
5619
0
12000000
2127058.824
3758162.391
What was the total revenue from [Mechanic/tyre repair] that was realised in the
17
5619
0
1000000
180882.353
314733.197
To whom did you sell your product/service of [Mechanic/tyre repair]?
16
0
Native households
6
Native households Other (specify)
1
Native households Other refugee households
1
Native households Traders
1
Other refugee households Native households
3
Traders
2
Traders Native households
1
Traders Other refugee households
1
To whom did you sell your product/service of [Mechanic/tyre repair]?/Other refug
16
5620
0
1
0.312
0.479
0
11
1
5
Sysmiss
5620
To whom did you sell your product/service of [Mechanic/tyre repair]?/Native hous
16
5620
0
1
0.812
0.403
0
3
1
13
Sysmiss
5620
To whom did you sell your product/service of [Mechanic/tyre repair]?/Traders
16
5620
0
1
0.312
0.479
0
11
1
5
Sysmiss
5620
To whom did you sell your product/service of [Mechanic/tyre repair]?/Other (spec
16
5620
0
1
0.0625
0.25
0
15
1
1
Sysmiss
5620
Specify other:135
1
0
Visitors
1
In which % did you sell your product/service to [other refugees]?136
5
5631
10
40
26.6
15.421
In which % did you sell your product/service to [native households]?137
13
5623
50
100
80.538
21.145
In which % did you sell your product/service to [traders]?138
5
5631
30
100
74
32.094
In which % did you sell your product/service to ${h4_16_1other}?139
1
5635
50
50
50
50
1
Sysmiss
5635
Where did you sell most of [Mechanic/tyre repair]?
16
0
Closest town
1
Closest town Trade centres Neighbouring village Here
1
Here
4
Here Closest town
1
Here Neighbouring village
1
Here Trade centres
1
Neighbouring village
1
Neighbouring village Here
1
Trade centres
5
Where did you sell most of [Mechanic/tyre repair]?/Here
16
5620
0
1
0.562
0.512
0
7
1
9
Sysmiss
5620
Where did you sell most of [Mechanic/tyre repair]?/Neighbouring village
16
5620
0
1
0.25
0.447
0
12
1
4
Sysmiss
5620
Where did you sell most of [Mechanic/tyre repair]?/Closest town
16
5620
0
1
0.188
0.403
0
13
1
3
Sysmiss
5620
Where did you sell most of [Mechanic/tyre repair]?/Trade centres
16
5620
0
1
0.438
0.512
0
9
1
7
Sysmiss
5620
Where did you sell most of [Mechanic/tyre repair]?/Itinerant trader
16
5620
0
0
0
0
0
16
Sysmiss
5620
Where did you sell most of [Mechanic/tyre repair]?/Other
16
5620
0
0
0
0
0
16
Sysmiss
5620
H4. What was the total revenue from [Traditional healer/traditional birth attend
2
5634
840000
3000000
1920000
1527350.647
What was the total revenue from [Traditional healer/traditional birth attendants
2
5634
70000
250000
160000
127279.221
To whom did you sell your product/service of [Traditional healer/traditional bir
2
0
Native households
1
Traders
1
To whom did you sell your product/service of [Traditional healer/traditional bir
2
5634
0
0
0
0
0
2
Sysmiss
5634
To whom did you sell your product/service of [Traditional healer/traditional bir
2
5634
0
1
0.5
0.707
0
1
1
1
Sysmiss
5634
To whom did you sell your product/service of [Traditional healer/traditional bir
2
5634
0
1
0.5
0.707
0
1
1
1
Sysmiss
5634
To whom did you sell your product/service of [Traditional healer/traditional bir
2
5634
0
0
0
0
0
2
Sysmiss
5634
In which % did you sell your product/service to [native households]?143
1
5635
100
100
100
100
1
Sysmiss
5635
In which % did you sell your product/service to [traders]?144
1
5635
100
100
100
100
1
Sysmiss
5635
Where did you sell most of [Traditional healer/traditional birth attendants (mid
2
0
Neighbouring village
1
Neighbouring village Closest town
1
Where did you sell most of [Traditional healer/traditional birth attendants (mid
2
5634
0
0
0
0
0
2
Sysmiss
5634
Where did you sell most of [Traditional healer/traditional birth attendants (mid
2
5634
1
1
1
0
1
2
Sysmiss
5634
Where did you sell most of [Traditional healer/traditional birth attendants (mid
2
5634
0
1
0.5
0.707
0
1
1
1
Sysmiss
5634
Where did you sell most of [Traditional healer/traditional birth attendants (mid
2
5634
0
0
0
0
0
2
Sysmiss
5634
Where did you sell most of [Traditional healer/traditional birth attendants (mid
2
5634
0
0
0
0
0
2
Sysmiss
5634
Where did you sell most of [Traditional healer/traditional birth attendants (mid
2
5634
0
0
0
0
0
2
Sysmiss
5634
H4. What was the total revenue from [Bodaboda or taxi operator/transporter] that
79
5557
0
18720000
2125000
2851701.134
What was the total revenue from [Bodaboda or taxi operator/transporter] that was
79
5557
0
18000000
453864.975
2039680.303
To whom did you sell your product/service of [Bodaboda or taxi operator/transpor
78
0
Native households
19
Native households Other refugee households
4
Native households Other refugee households Traders
4
Native households Traders
8
Native households Traders Other refugee households
2
Other (specify)
2
Other refugee households
6
Other refugee households Native households
10
Other refugee households Native households Traders
12
Other refugee households Traders
2
Traders
2
Traders Native households
1
Traders Native households Other refugee households
4
Traders Other refugee households Native households
2
To whom did you sell your product/service of [Bodaboda or taxi operator/transpor
78
5558
0
1
0.59
0.495
0
32
1
46
Sysmiss
5558
To whom did you sell your product/service of [Bodaboda or taxi operator/transpor
78
5558
0
1
0.846
0.363
0
12
1
66
Sysmiss
5558
To whom did you sell your product/service of [Bodaboda or taxi operator/transpor
78
5558
0
1
0.474
0.503
0
41
1
37
Sysmiss
5558
To whom did you sell your product/service of [Bodaboda or taxi operator/transpor
78
5558
0
1
0.0256
0.159
0
76
1
2
Sysmiss
5558
Specify other:147
2
0
Any passenger and luggage
1
URA
1
In which % did you sell your product/service to [other refugees]?148
46
5590
10
100
44.935
26.677
In which % did you sell your product/service to [native households]?149
66
5570
10
100
57.136
26.813
In which % did you sell your product/service to [traders]?150
37
5599
10
100
39.432
17.755
In which % did you sell your product/service to ${h4_16_1other}?151
2
5634
100
100
100
0
100
2
Sysmiss
5634
Where did you sell most of [Bodaboda or taxi operator/transporter]?
78
0
Closest town
4
Closest town Here Trade centres
1
Closest town Neighbouring village Trade centres Here
1
Closest town Trade centres Neighbouring village
1
Here
20
Here Closest town Neighbouring village Trade centres
1
Here Closest town Trade centres Neighbouring village
1
Here Neighbouring village
7
Here Neighbouring village Closest town
1
Here Neighbouring village Closest town Itinerant trader Trade centres
1
Here Neighbouring village Closest town Trade centres
8
Here Neighbouring village Closest town Trade centres Itinerant trader
4
Here Trade centres
1
Here Trade centres Closest town Neighbouring village
1
Neighbouring village
2
Neighbouring village Closest town
1
Neighbouring village Closest town Here
1
Neighbouring village Closest town Trade centres
2
Neighbouring village Closest town Trade centres Here
2
Neighbouring village Here
3
Neighbouring village Here Closest town Itinerant trader Trade centres
1
Neighbouring village Here Trade centres
4
Other
1
Trade centres
5
Trade centres Here
1
Trade centres Here Closest town
1
Trade centres Here Neighbouring village Closest town
1
Trade centres Neighbouring village Closest town Here Itinerant trader
1
Where did you sell most of [Bodaboda or taxi operator/transporter]?/Here
78
5558
0
1
0.795
0.406
0
16
1
62
Sysmiss
5558
Where did you sell most of [Bodaboda or taxi operator/transporter]?/Neighbouring
78
5558
0
1
0.564
0.499
0
34
1
44
Sysmiss
5558
Where did you sell most of [Bodaboda or taxi operator/transporter]?/Closest town
78
5558
0
1
0.436
0.499
0
44
1
34
Sysmiss
5558
Where did you sell most of [Bodaboda or taxi operator/transporter]?/Trade centre
78
5558
0
1
0.487
0.503
0
40
1
38
Sysmiss
5558
Where did you sell most of [Bodaboda or taxi operator/transporter]?/Itinerant tr
78
5558
0
1
0.0897
0.288
0
71
1
7
Sysmiss
5558
Where did you sell most of [Bodaboda or taxi operator/transporter]?/Other
78
5558
0
1
0.0128
0.113
0
77
1
1
Sysmiss
5558
Specify other:152
1
0
Around kiryandongo
1
H4. What was the total revenue from [Hotel/food kiosk] that was realised in the
43
5593
0
9500000
1396000
1942772.54
What was the total revenue from [Hotel/food kiosk] that was realised in the PAST
43
5593
0
960000
141023.256
189644.465
To whom did you sell your product/service of [Hotel/food kiosk]?
41
0
Native households
9
Native households Other refugee households
3
Native households Traders Other refugee households
2
Other (specify)
1
Other refugee households
8
Other refugee households Native households
5
Other refugee households Native households Traders
4
Other refugee households Traders
1
Traders
1
Traders Native households
3
Traders Native households Other (specify)
1
Traders Native households Other refugee households
2
Traders Native households Other refugee households Other (specify)
1
To whom did you sell your product/service of [Hotel/food kiosk]?/Other refugee h
41
5595
0
1
0.634
0.488
0
15
1
26
Sysmiss
5595
To whom did you sell your product/service of [Hotel/food kiosk]?/Native househol
41
5595
0
1
0.732
0.449
0
11
1
30
Sysmiss
5595
To whom did you sell your product/service of [Hotel/food kiosk]?/Traders
41
5595
0
1
0.366
0.488
0
26
1
15
Sysmiss
5595
To whom did you sell your product/service of [Hotel/food kiosk]?/Other (specify)
41
5595
0
1
0.0732
0.264
0
38
1
3
Sysmiss
5595
Specify other:153
3
0
Fishermen and fishmonger
1
Visitors
2
In which % did you sell your product/service to [other refugees]?154
26
5610
10
100
60.962
30.529
In which % did you sell your product/service to [native households]?155
30
5606
15
100
54.833
30.157
In which % did you sell your product/service to [traders]?156
15
5621
10
70
31
15.834
In which % did you sell your product/service to ${h4_16_1other}?157
3
5633
10
100
43.333
49.329
Where did you sell most of [Hotel/food kiosk]?
41
0
Closest town
1
Closest town Here
1
Here
21
Here Closest town Trade centres
1
Here Neighbouring village
1
Here Trade centres
1
Itinerant trader Trade centres Closest town Neighbouring village Here
1
Neighbouring village
1
Neighbouring village Here
3
Other
1
Trade centres
8
Trade centres Here Neighbouring village
1
Where did you sell most of [Hotel/food kiosk]?/Here
41
5595
0
1
0.732
0.449
0
11
1
30
Sysmiss
5595
Where did you sell most of [Hotel/food kiosk]?/Neighbouring village
41
5595
0
1
0.171
0.381
0
34
1
7
Sysmiss
5595
Where did you sell most of [Hotel/food kiosk]?/Closest town
41
5595
0
1
0.0976
0.3
0
37
1
4
Sysmiss
5595
Where did you sell most of [Hotel/food kiosk]?/Trade centres
41
5595
0
1
0.293
0.461
0
29
1
12
Sysmiss
5595
Where did you sell most of [Hotel/food kiosk]?/Itinerant trader
41
5595
0
1
0.0244
0.156
0
40
1
1
Sysmiss
5595
Where did you sell most of [Hotel/food kiosk]?/Other
41
5595
0
1
0.0244
0.156
0
40
1
1
Sysmiss
5595
Specify other:158
1
0
At landing site
1
H4. What was the total revenue from [Chapati Stall] that was realised in the pas
13
5623
30000
10800000
1760000
2993685.02
What was the total revenue from [Chapati Stall] that was realised in the PAST ON
13
5623
1700
900000
155000
251294.445
To whom did you sell your product/service of [Chapati Stall]?
13
0
Native households
4
Native households Other refugee households
2
Other refugee households
2
Other refugee households Native households
3
Other refugee households Native households Traders
1
Other refugee households Traders Native households
1
To whom did you sell your product/service of [Chapati Stall]?/Other refugee hous
13
5623
0
1
0.692
0.48
0
4
1
9
Sysmiss
5623
To whom did you sell your product/service of [Chapati Stall]?/Native households
13
5623
0
1
0.846
0.376
0
2
1
11
Sysmiss
5623
To whom did you sell your product/service of [Chapati Stall]?/Traders
13
5623
0
1
0.154
0.376
0
11
1
2
Sysmiss
5623
To whom did you sell your product/service of [Chapati Stall]?/Other (specify)
13
5623
0
0
0
0
0
13
Sysmiss
5623
In which % did you sell your product/service to [other refugees]?160
9
5627
20
100
56.667
30.414
In which % did you sell your product/service to [native households]?161
11
5625
20
100
67.273
31.652
In which % did you sell your product/service to [traders]?162
2
5634
20
30
25
7.071
20
1
30
1
Sysmiss
5634
Where did you sell most of [Chapati Stall]?
13
0
Closest town
1
Closest town Neighbouring village
1
Here
7
Here Trade centres
1
Neighbouring village Trade centres
1
Trade centres
2
Where did you sell most of [Chapati Stall]?/Here
13
5623
0
1
0.615
0.506
0
5
1
8
Sysmiss
5623
Where did you sell most of [Chapati Stall]?/Neighbouring village
13
5623
0
1
0.154
0.376
0
11
1
2
Sysmiss
5623
Where did you sell most of [Chapati Stall]?/Closest town
13
5623
0
1
0.154
0.376
0
11
1
2
Sysmiss
5623
Where did you sell most of [Chapati Stall]?/Trade centres
13
5623
0
1
0.308
0.48
0
9
1
4
Sysmiss
5623
Where did you sell most of [Chapati Stall]?/Itinerant trader
13
5623
0
0
0
0
0
13
Sysmiss
5623
Where did you sell most of [Chapati Stall]?/Other
13
5623
0
0
0
0
0
13
Sysmiss
5623
H4. What was the total revenue from [Tailor/clothes repair] that was realised in
40
5596
0
3600000
701325
911152.817
What was the total revenue from [Tailor/clothes repair] that was realised in the
40
5596
0
800000
105820
163970.428
To whom did you sell your product/service of [Tailor/clothes repair]?
38
0
Native households
9
Native households Other refugee households
6
Native households Other refugee households Traders
1
Other refugee households
9
Other refugee households Native households
7
Other refugee households Native households Traders
1
Traders
1
Traders Native households
1
Traders Native households Other refugee households
1
Traders Other refugee households Native households
2
To whom did you sell your product/service of [Tailor/clothes repair]?/Other refu
38
5598
0
1
0.711
0.46
0
11
1
27
Sysmiss
5598
To whom did you sell your product/service of [Tailor/clothes repair]?/Native hou
38
5598
0
1
0.737
0.446
0
10
1
28
Sysmiss
5598
To whom did you sell your product/service of [Tailor/clothes repair]?/Traders
38
5598
0
1
0.184
0.393
0
31
1
7
Sysmiss
5598
To whom did you sell your product/service of [Tailor/clothes repair]?/Other (spe
38
5598
0
0
0
0
0
38
Sysmiss
5598
In which % did you sell your product/service to [other refugees]?172
27
5609
10
100
58.889
31.542
In which % did you sell your product/service to [native households]?173
28
5608
10
100
65.893
30.703
In which % did you sell your product/service to [traders]?174
7
5629
10
100
32.143
31.867
Where did you sell most of [Tailor/clothes repair]?
38
0
Closest town
4
Here
18
Here Closest town Trade centres
1
Here Neighbouring village
1
Here Neighbouring village Closest town
2
Here Neighbouring village Closest town Trade centres
2
Here Neighbouring village Trade centres
2
Here Trade centres
1
Here Trade centres Neighbouring village
1
Neighbouring village
2
Trade centres
4
Where did you sell most of [Tailor/clothes repair]?/Here
38
5598
0
1
0.737
0.446
0
10
1
28
Sysmiss
5598
Where did you sell most of [Tailor/clothes repair]?/Neighbouring village
38
5598
0
1
0.263
0.446
0
28
1
10
Sysmiss
5598
Where did you sell most of [Tailor/clothes repair]?/Closest town
38
5598
0
1
0.237
0.431
0
29
1
9
Sysmiss
5598
Where did you sell most of [Tailor/clothes repair]?/Trade centres
38
5598
0
1
0.289
0.46
0
27
1
11
Sysmiss
5598
Where did you sell most of [Tailor/clothes repair]?/Itinerant trader
38
5598
0
0
0
0
0
38
Sysmiss
5598
Where did you sell most of [Tailor/clothes repair]?/Other
38
5598
0
0
0
0
0
38
Sysmiss
5598
H4. What was the total revenue from [Salon/Barber shop] that was realised in the
30
5606
0
3600000
1084904
1056730.879
What was the total revenue from [Salon/Barber shop] that was realised in the PAS
30
5606
0
300000
116833.667
90567.527
To whom did you sell your product/service of [Salon/Barber shop]?
29
0
Native households
6
Native households Other refugee households
4
Native households Traders Other refugee households
1
Other refugee households
15
Other refugee households Native households
3
To whom did you sell your product/service of [Salon/Barber shop]?/Other refugee
29
5607
0
1
0.793
0.412
0
6
1
23
Sysmiss
5607
To whom did you sell your product/service of [Salon/Barber shop]?/Native househo
29
5607
0
1
0.483
0.509
0
15
1
14
Sysmiss
5607
To whom did you sell your product/service of [Salon/Barber shop]?/Traders
29
5607
0
1
0.0345
0.186
0
28
1
1
Sysmiss
5607
To whom did you sell your product/service of [Salon/Barber shop]?/Other (specify
29
5607
0
0
0
0
0
29
Sysmiss
5607
In which % did you sell your product/service to [other refugees]?178
23
5613
20
100
79.522
26.838
In which % did you sell your product/service to [native households]?179
14
5622
27
100
69.786
30.695
In which % did you sell your product/service to [traders]?180
1
5635
40
40
40
40
1
Sysmiss
5635
Where did you sell most of [Salon/Barber shop]?
29
0
Closest town
2
Closest town Here Neighbouring village
1
Here
17
Here Neighbouring village Closest town
2
Here Trade centres
1
Neighbouring village
1
Trade centres
5
Where did you sell most of [Salon/Barber shop]?/Here
29
5607
0
1
0.724
0.455
0
8
1
21
Sysmiss
5607
Where did you sell most of [Salon/Barber shop]?/Neighbouring village
29
5607
0
1
0.138
0.351
0
25
1
4
Sysmiss
5607
Where did you sell most of [Salon/Barber shop]?/Closest town
29
5607
0
1
0.172
0.384
0
24
1
5
Sysmiss
5607
Where did you sell most of [Salon/Barber shop]?/Trade centres
29
5607
0
1
0.207
0.412
0
23
1
6
Sysmiss
5607
Where did you sell most of [Salon/Barber shop]?/Itinerant trader
29
5607
0
0
0
0
0
29
Sysmiss
5607
Where did you sell most of [Salon/Barber shop]?/Other
29
5607
0
0
0
0
0
29
Sysmiss
5607
H4. What was the total revenue from [Making Bricks] that was realised in the pas
28
5608
0
6000000
1355607.143
1467459.239
What was the total revenue from [Making Bricks] that was realised in the PAST ON
28
5608
0
600000
145392.857
197976.493
To whom did you sell your product/service of [Making Bricks]?
26
0
Native households
16
Native households Other refugee households
2
Native households Traders
1
Other refugee households
6
Traders Native households
1
To whom did you sell your product/service of [Making Bricks]?/Other refugee hous
26
5610
0
1
0.308
0.471
0
18
1
8
Sysmiss
5610
To whom did you sell your product/service of [Making Bricks]?/Native households
26
5610
0
1
0.769
0.43
0
6
1
20
Sysmiss
5610
To whom did you sell your product/service of [Making Bricks]?/Traders
26
5610
0
1
0.0769
0.272
0
24
1
2
Sysmiss
5610
To whom did you sell your product/service of [Making Bricks]?/Other (specify)
26
5610
0
0
0
0
0
26
Sysmiss
5610
In which % did you sell your product/service to [other refugees]?184
8
5628
50
100
88.75
21.002
In which % did you sell your product/service to [native households]?185
20
5616
40
100
87.75
22.152
In which % did you sell your product/service to [traders]?186
2
5634
40
55
47.5
10.607
40
1
55
1
Sysmiss
5634
Where did you sell most of [Making Bricks]?
26
0
Closest town
2
Closest town Neighbouring village Here
1
Here
17
Here Itinerant trader
1
Here Neighbouring village
1
Here Neighbouring village Closest town Trade centres
1
Neighbouring village
1
Neighbouring village Closest town Here
1
Neighbouring village Here Closest town
1
Where did you sell most of [Making Bricks]?/Here
26
5610
0
1
0.885
0.326
0
3
1
23
Sysmiss
5610
Where did you sell most of [Making Bricks]?/Neighbouring village
26
5610
0
1
0.231
0.43
0
20
1
6
Sysmiss
5610
Where did you sell most of [Making Bricks]?/Closest town
26
5610
0
1
0.231
0.43
0
20
1
6
Sysmiss
5610
Where did you sell most of [Making Bricks]?/Trade centres
26
5610
0
1
0.0385
0.196
0
25
1
1
Sysmiss
5610
Where did you sell most of [Making Bricks]?/Itinerant trader
26
5610
0
1
0.0385
0.196
0
25
1
1
Sysmiss
5610
Where did you sell most of [Making Bricks]?/Other
26
5610
0
0
0
0
0
26
Sysmiss
5610
H4. What was the total revenue from [Construction/masonry] that was realised in
23
5613
0
7200000
1022608.696
1517971.785
What was the total revenue from [Construction/masonry] that was realised in the
23
5613
0
1200000
143369.565
250482.978
To whom did you sell your product/service of [Construction/masonry]?
22
0
Native households
12
Native households Other (specify)
1
Native households Other refugee households
2
Native households Traders Other refugee households
1
Other refugee households
1
Other refugee households Native households
2
Traders
2
Traders Native households
1
To whom did you sell your product/service of [Construction/masonry]?/Other refug
22
5614
0
1
0.273
0.456
0
16
1
6
Sysmiss
5614
To whom did you sell your product/service of [Construction/masonry]?/Native hous
22
5614
0
1
0.864
0.351
0
3
1
19
Sysmiss
5614
To whom did you sell your product/service of [Construction/masonry]?/Traders
22
5614
0
1
0.182
0.395
0
18
1
4
Sysmiss
5614
To whom did you sell your product/service of [Construction/masonry]?/Other (spec
22
5614
0
1
0.0455
0.213
0
21
1
1
Sysmiss
5614
Specify other:189
1
0
City
1
In which % did you sell your product/service to [other refugees]?190
6
5630
20
100
46.667
32.042
In which % did you sell your product/service to [native households]?191
19
5617
30
100
79.842
26.858
In which % did you sell your product/service to [traders]?192
4
5632
50
100
75
28.868
In which % did you sell your product/service to ${h4_16_1other}?193
1
5635
70
70
70
70
1
Sysmiss
5635
Where did you sell most of [Construction/masonry]?
22
0
Closest town
1
Closest town Here
1
Closest town Neighbouring village
1
Here
5
Here Closest town Trade centres
1
Here Neighbouring village
1
Here Neighbouring village Closest town
3
Here Neighbouring village Closest town Other
1
Here Trade centres Closest town
1
Neighbouring village
4
Neighbouring village Trade centres Closest town
1
Trade centres
2
Where did you sell most of [Construction/masonry]?/Here
22
5614
0
1
0.591
0.503
0
9
1
13
Sysmiss
5614
Where did you sell most of [Construction/masonry]?/Neighbouring village
22
5614
0
1
0.5
0.512
0
11
1
11
Sysmiss
5614
Where did you sell most of [Construction/masonry]?/Closest town
22
5614
0
1
0.455
0.51
0
12
1
10
Sysmiss
5614
Where did you sell most of [Construction/masonry]?/Trade centres
22
5614
0
1
0.227
0.429
0
17
1
5
Sysmiss
5614
Where did you sell most of [Construction/masonry]?/Itinerant trader
22
5614
0
0
0
0
0
22
Sysmiss
5614
Where did you sell most of [Construction/masonry]?/Other
22
5614
0
1
0.0455
0.213
0
21
1
1
Sysmiss
5614
Specify other:194
1
0
City
1
H4. What was the total revenue from [Carpenter] that was realised in the past 12
32
5604
6000
10000000
1711593.75
2015968.988
What was the total revenue from [Carpenter] that was realised in the PAST ONE MO
32
5604
0
1100000
168593.75
213663.265
To whom did you sell your product/service of [Carpenter]?
32
0
Native households
6
Native households Other refugee households
7
Other refugee households
7
Other refugee households Native households
1
Other refugee households Native households Other (specify)
1
Other refugee households Native households Traders
1
Traders
5
Traders Native households Other (specify)
1
Traders Native households Other refugee households
2
Traders Other refugee households Native households
1
To whom did you sell your product/service of [Carpenter]?/Other refugee househol
32
5604
0
1
0.625
0.492
0
12
1
20
Sysmiss
5604
To whom did you sell your product/service of [Carpenter]?/Native households
32
5604
0
1
0.625
0.492
0
12
1
20
Sysmiss
5604
To whom did you sell your product/service of [Carpenter]?/Traders
32
5604
0
1
0.312
0.471
0
22
1
10
Sysmiss
5604
To whom did you sell your product/service of [Carpenter]?/Other (specify)
32
5604
0
1
0.0625
0.246
0
30
1
2
Sysmiss
5604
Specify other:195
2
0
Itinerant traders
1
Un agencies and NGOs
1
In which % did you sell your product/service to [other refugees]?196
20
5616
10
100
56.5
33.091
In which % did you sell your product/service to [native households]?197
20
5616
15
100
56.5
28.382
In which % did you sell your product/service to [traders]?198
10
5626
5
100
64.5
32.011
In which % did you sell your product/service to ${h4_16_1other}?199
2
5634
10
10
10
0
10
2
Sysmiss
5634
Where did you sell most of [Carpenter]?
32
0
Closest town
2
Closest town Neighbouring village Here Trade centres Itinerant trader
1
Closest town Trade centres Here Neighbouring village
1
Here
16
Here Neighbouring village
2
Neighbouring village
1
Neighbouring village Closest town Trade centres Itinerant trader
1
Trade centres
6
Trade centres Closest town
1
Trade centres Neighbouring village
1
Where did you sell most of [Carpenter]?/Here
32
5604
0
1
0.625
0.492
0
12
1
20
Sysmiss
5604
Where did you sell most of [Carpenter]?/Neighbouring village
32
5604
0
1
0.219
0.42
0
25
1
7
Sysmiss
5604
Where did you sell most of [Carpenter]?/Closest town
32
5604
0
1
0.188
0.397
0
26
1
6
Sysmiss
5604
Where did you sell most of [Carpenter]?/Trade centres
32
5604
0
1
0.344
0.483
0
21
1
11
Sysmiss
5604
Where did you sell most of [Carpenter]?/Itinerant trader
32
5604
0
1
0.0625
0.246
0
30
1
2
Sysmiss
5604
Where did you sell most of [Carpenter]?/Other
32
5604
0
0
0
0
0
32
Sysmiss
5604
H4. What was the total revenue from [Crafts(basket making, weaving)] that was re
16
5620
0
1200000
469886.25
399512.588
What was the total revenue from [Crafts(basket making, weaving)] that was realis
16
5620
0
100000
37938.438
36153.192
To whom did you sell your product/service of [Crafts(basket making, weaving)]?
15
0
Native households
4
Other (specify)
1
Other refugee households
1
Other refugee households Native households
3
Other refugee households Native households Traders
1
Other refugee households Other (specify)
1
Other refugee households Traders
1
Other refugee households Traders Native households
1
Traders
2
To whom did you sell your product/service of [Crafts(basket making, weaving)]?/O
15
5621
0
1
0.533
0.516
0
7
1
8
Sysmiss
5621
To whom did you sell your product/service of [Crafts(basket making, weaving)]?/N
15
5621
0
1
0.6
0.507
0
6
1
9
Sysmiss
5621
To whom did you sell your product/service of [Crafts(basket making, weaving)]?/T
15
5621
0
1
0.333
0.488
0
10
1
5
Sysmiss
5621
To whom did you sell your product/service of [Crafts(basket making, weaving)]?/O
15
5621
0
1
0.133
0.352
0
13
1
2
Sysmiss
5621
Specify other:201
2
0
Kampala
2
In which % did you sell your product/service to [other refugees]?202
8
5628
20
100
55.625
26.109
In which % did you sell your product/service to [native households]?203
9
5627
20
100
56.111
34.44
In which % did you sell your product/service to [traders]?204
5
5631
40
100
68
30.332
In which % did you sell your product/service to ${h4_16_1other}?205
2
5634
60
100
80
28.284
Where did you sell most of [Crafts(basket making, weaving)]?
15
0
Closest town
1
Here
3
Here Closest town Neighbouring village
1
Here Neighbouring village Closest town
2
Here Neighbouring village Closest town Trade centres
1
Neighbouring village
2
Neighbouring village Closest town Trade centres Here
1
Other
1
Trade centres
3
Where did you sell most of [Crafts(basket making, weaving)]?/Here
15
5621
0
1
0.533
0.516
0
7
1
8
Sysmiss
5621
Where did you sell most of [Crafts(basket making, weaving)]?/Neighbouring villag
15
5621
0
1
0.467
0.516
0
8
1
7
Sysmiss
5621
Where did you sell most of [Crafts(basket making, weaving)]?/Closest town
15
5621
0
1
0.4
0.507
0
9
1
6
Sysmiss
5621
Where did you sell most of [Crafts(basket making, weaving)]?/Trade centres
15
5621
0
1
0.333
0.488
0
10
1
5
Sysmiss
5621
Where did you sell most of [Crafts(basket making, weaving)]?/Itinerant trader
15
5621
0
0
0
0
0
15
Sysmiss
5621
Where did you sell most of [Crafts(basket making, weaving)]?/Other
15
5621
0
1
0.0667
0.258
0
14
1
1
Sysmiss
5621
Specify other:206
1
0
Kampala
1
H4. What was the total revenue from [Home Brewery] that was realised in the past
95
5541
10000
24000000
1223831.579
3199563.875
What was the total revenue from [Home Brewery] that was realised in the PAST ONE
95
5541
0
1500000
86431.579
177040.064
To whom did you sell your product/service of [Home Brewery]?
95
0
Native households
23
Native households Other refugee households
21
Native households Traders
2
Native households Traders Other refugee households
1
Other refugee households
18
Other refugee households Native households
19
Other refugee households Native households Traders
3
Other refugee households Traders
1
Traders
2
Traders Native households
2
Traders Native households Other refugee households
1
Traders Other (specify)
1
Traders Other refugee households Native households
1
To whom did you sell your product/service of [Home Brewery]?/Other refugee house
95
5541
0
1
0.684
0.467
0
30
1
65
Sysmiss
5541
To whom did you sell your product/service of [Home Brewery]?/Native households
95
5541
0
1
0.768
0.424
0
22
1
73
Sysmiss
5541
To whom did you sell your product/service of [Home Brewery]?/Traders
95
5541
0
1
0.147
0.356
0
81
1
14
Sysmiss
5541
To whom did you sell your product/service of [Home Brewery]?/Other (specify)
95
5541
0
1
0.0105
0.103
0
94
1
1
Sysmiss
5541
Specify other:207
1
0
Sells part of it for himself
1
In which % did you sell your product/service to [other refugees]?208
65
5571
0.7
100
61.472
30.478
In which % did you sell your product/service to [native households]?209
73
5563
0.3
100
62.744
28.484
In which % did you sell your product/service to [traders]?210
14
5622
0
100
32.5
24.397
In which % did you sell your product/service to ${h4_16_1other}?211
1
5635
60
60
60
60
1
Sysmiss
5635
Where did you sell most of [Home Brewery]?
95
0
Closest town Trade centres Neighbouring village Here
1
Here
67
Here Neighbouring village
4
Here Neighbouring village Trade centres
1
Here Trade centres
9
Neighbouring village
1
Neighbouring village Here
2
Trade centres
6
Trade centres Here
1
Trade centres Here Neighbouring village
1
Trade centres Neighbouring village
1
Trade centres Neighbouring village Here
1
Where did you sell most of [Home Brewery]?/Here
95
5541
0
1
0.916
0.279
0
8
1
87
Sysmiss
5541
Where did you sell most of [Home Brewery]?/Neighbouring village
95
5541
0
1
0.126
0.334
0
83
1
12
Sysmiss
5541
Where did you sell most of [Home Brewery]?/Closest town
95
5541
0
1
0.0105
0.103
0
94
1
1
Sysmiss
5541
Where did you sell most of [Home Brewery]?/Trade centres
95
5541
0
1
0.221
0.417
0
74
1
21
Sysmiss
5541
Where did you sell most of [Home Brewery]?/Itinerant trader
95
5541
0
0
0
0
0
95
Sysmiss
5541
Where did you sell most of [Home Brewery]?/Other
95
5541
0
0
0
0
0
95
Sysmiss
5541
H4. What was the total revenue from [Charcoal dealer] that was realised in the p
47
5589
0
3600000
833702.149
932950.79
What was the total revenue from [Charcoal dealer] that was realised in the PAST
47
5589
0
720000
87170.213
132833.881
To whom did you sell your product/service of [Charcoal dealer]?
46
0
Native households
6
Native households Other refugee households
2
Native households Other refugee households Traders
2
Native households Traders
1
Other (specify)
1
Other refugee households
8
Other refugee households Native households
5
Other refugee households Native households Traders
1
Traders
13
Traders Native households
1
Traders Native households Other refugee households
1
Traders Other refugee households
5
To whom did you sell your product/service of [Charcoal dealer]?/Other refugee ho
46
5590
0
1
0.522
0.505
0
22
1
24
Sysmiss
5590
To whom did you sell your product/service of [Charcoal dealer]?/Native household
46
5590
0
1
0.413
0.498
0
27
1
19
Sysmiss
5590
To whom did you sell your product/service of [Charcoal dealer]?/Traders
46
5590
0
1
0.522
0.505
0
22
1
24
Sysmiss
5590
To whom did you sell your product/service of [Charcoal dealer]?/Other (specify)
46
5590
0
1
0.0217
0.147
0
45
1
1
Sysmiss
5590
Specify other:213
1
0
Visitors
1
In which % did you sell your product/service to [other refugees]?214
24
5612
10
100
62.5
31.242
In which % did you sell your product/service to [native households]?215
19
5617
10
100
63.684
30.77
In which % did you sell your product/service to [traders]?216
24
5612
20
100
72.917
30.571
In which % did you sell your product/service to ${h4_16_1other}?217
1
5635
100
100
100
100
1
Sysmiss
5635
Where did you sell most of [Charcoal dealer]?
46
0
Closest town
1
Closest town Trade centres
1
Here
20
Here Closest town
1
Here Itinerant trader
1
Here Neighbouring village
4
Here Neighbouring village Itinerant trader
1
Here Neighbouring village Itinerant trader Trade centres
1
Here Trade centres
3
Here Trade centres Closest town Neighbouring village
1
Itinerant trader
1
Neighbouring village
2
Neighbouring village Here
1
Trade centres
7
Trade centres Closest town
1
Where did you sell most of [Charcoal dealer]?/Here
46
5590
0
1
0.717
0.455
0
13
1
33
Sysmiss
5590
Where did you sell most of [Charcoal dealer]?/Neighbouring village
46
5590
0
1
0.217
0.417
0
36
1
10
Sysmiss
5590
Where did you sell most of [Charcoal dealer]?/Closest town
46
5590
0
1
0.109
0.315
0
41
1
5
Sysmiss
5590
Where did you sell most of [Charcoal dealer]?/Trade centres
46
5590
0
1
0.304
0.465
0
32
1
14
Sysmiss
5590
Where did you sell most of [Charcoal dealer]?/Itinerant trader
46
5590
0
1
0.087
0.285
0
42
1
4
Sysmiss
5590
Where did you sell most of [Charcoal dealer]?/Other
46
5590
0
0
0
0
0
46
Sysmiss
5590
H4. What was the total revenue from [Firewood dealer] that was realised in the p
17
5619
20000
360000
123411.765
82302.839
What was the total revenue from [Firewood dealer] that was realised in the PAST
17
5619
0
20000
7558.824
6334.14
To whom did you sell your product/service of [Firewood dealer]?
17
0
Native households
4
Native households Traders
1
Other refugee households
9
Other refugee households Native households
2
Traders Other refugee households
1
To whom did you sell your product/service of [Firewood dealer]?/Other refugee ho
17
5619
0
1
0.706
0.47
0
5
1
12
Sysmiss
5619
To whom did you sell your product/service of [Firewood dealer]?/Native household
17
5619
0
1
0.412
0.507
0
10
1
7
Sysmiss
5619
To whom did you sell your product/service of [Firewood dealer]?/Traders
17
5619
0
1
0.118
0.332
0
15
1
2
Sysmiss
5619
To whom did you sell your product/service of [Firewood dealer]?/Other (specify)
17
5619
0
0
0
0
0
17
Sysmiss
5619
In which % did you sell your product/service to [other refugees]?220
12
5624
10
100
80
31.334
In which % did you sell your product/service to [native households]?221
7
5629
50
100
74.286
25.071
In which % did you sell your product/service to [traders]?222
2
5634
50
50
50
0
50
2
Sysmiss
5634
Where did you sell most of [Firewood dealer]?
17
0
Here
9
Here Neighbouring village
1
Itinerant trader Trade centres Neighbouring village Here
1
Neighbouring village
2
Trade centres
3
Trade centres Itinerant trader
1
Where did you sell most of [Firewood dealer]?/Here
17
5619
0
1
0.647
0.493
0
6
1
11
Sysmiss
5619
Where did you sell most of [Firewood dealer]?/Neighbouring village
17
5619
0
1
0.235
0.437
0
13
1
4
Sysmiss
5619
Where did you sell most of [Firewood dealer]?/Closest town
17
5619
0
0
0
0
0
17
Sysmiss
5619
Where did you sell most of [Firewood dealer]?/Trade centres
17
5619
0
1
0.294
0.47
0
12
1
5
Sysmiss
5619
Where did you sell most of [Firewood dealer]?/Itinerant trader
17
5619
0
1
0.118
0.332
0
15
1
2
Sysmiss
5619
Where did you sell most of [Firewood dealer]?/Other
17
5619
0
0
0
0
0
17
Sysmiss
5619
H4. What was the total revenue from [Miraa/ Khat seller] that was realised in th
4
5632
120000
390000
240000
127279.221
What was the total revenue from [Miraa/ Khat seller] that was realised in the PA
4
5632
15000
35000
23750
10307.764
To whom did you sell your product/service of [Miraa/ Khat seller]?
4
0
Native households
2
Native households Traders
1
Other refugee households Native households
1
To whom did you sell your product/service of [Miraa/ Khat seller]?/Other refugee
4
5632
0
1
0.25
0.5
0
3
1
1
Sysmiss
5632
To whom did you sell your product/service of [Miraa/ Khat seller]?/Native househ
4
5632
1
1
1
0
1
4
Sysmiss
5632
To whom did you sell your product/service of [Miraa/ Khat seller]?/Traders
4
5632
0
1
0.25
0.5
0
3
1
1
Sysmiss
5632
To whom did you sell your product/service of [Miraa/ Khat seller]?/Other (specif
4
5632
0
0
0
0
0
4
Sysmiss
5632
In which % did you sell your product/service to [other refugees]?226
1
5635
50
50
50
50
1
Sysmiss
5635
In which % did you sell your product/service to [native households]?227
4
5632
50
100
80
24.495
In which % did you sell your product/service to [traders]?228
1
5635
30
30
30
30
1
Sysmiss
5635
Where did you sell most of [Miraa/ Khat seller]?
4
0
Here
1
Neighbouring village
1
Trade centres
1
Trade centres Neighbouring village
1
Where did you sell most of [Miraa/ Khat seller]?/Here
4
5632
0
1
0.25
0.5
0
3
1
1
Sysmiss
5632
Where did you sell most of [Miraa/ Khat seller]?/Neighbouring village
4
5632
0
1
0.5
0.577
0
2
1
2
Sysmiss
5632
Where did you sell most of [Miraa/ Khat seller]?/Closest town
4
5632
0
0
0
0
0
4
Sysmiss
5632
Where did you sell most of [Miraa/ Khat seller]?/Trade centres
4
5632
0
1
0.5
0.577
0
2
1
2
Sysmiss
5632
Where did you sell most of [Miraa/ Khat seller]?/Itinerant trader
4
5632
0
0
0
0
0
4
Sysmiss
5632
Where did you sell most of [Miraa/ Khat seller]?/Other
4
5632
0
0
0
0
0
4
Sysmiss
5632
H4. What was the total revenue from [Livestock trader] that was realised in the
16
5620
120000
7920000
1309375
1964408.202
What was the total revenue from [Livestock trader] that was realised in the PAST
16
5620
0
792000
110125
196150.24
To whom did you sell your product/service of [Livestock trader]?
16
0
Native households
2
Native households Traders
2
Other refugee households
2
Other refugee households Native households
1
Traders
7
Traders Native households
1
Traders Native households Other refugee households
1
To whom did you sell your product/service of [Livestock trader]?/Other refugee h
16
5620
0
1
0.25
0.447
0
12
1
4
Sysmiss
5620
To whom did you sell your product/service of [Livestock trader]?/Native househol
16
5620
0
1
0.438
0.512
0
9
1
7
Sysmiss
5620
To whom did you sell your product/service of [Livestock trader]?/Traders
16
5620
0
1
0.688
0.479
0
5
1
11
Sysmiss
5620
To whom did you sell your product/service of [Livestock trader]?/Other (specify)
16
5620
0
0
0
0
0
16
Sysmiss
5620
In which % did you sell your product/service to [other refugees]?232
4
5632
10
100
50
39.158
In which % did you sell your product/service to [native households]?233
7
5629
20
100
55.714
33.594
In which % did you sell your product/service to [traders]?234
11
5625
40
100
83.636
24.606
Where did you sell most of [Livestock trader]?
16
0
Closest town
2
Closest town Trade centres
1
Here
7
Here Trade centres
1
Neighbouring village
1
Trade centres
3
Trade centres Neighbouring village
1
Where did you sell most of [Livestock trader]?/Here
16
5620
0
1
0.5
0.516
0
8
1
8
Sysmiss
5620
Where did you sell most of [Livestock trader]?/Neighbouring village
16
5620
0
1
0.125
0.342
0
14
1
2
Sysmiss
5620
Where did you sell most of [Livestock trader]?/Closest town
16
5620
0
1
0.188
0.403
0
13
1
3
Sysmiss
5620
Where did you sell most of [Livestock trader]?/Trade centres
16
5620
0
1
0.375
0.5
0
10
1
6
Sysmiss
5620
Where did you sell most of [Livestock trader]?/Itinerant trader
16
5620
0
0
0
0
0
16
Sysmiss
5620
Where did you sell most of [Livestock trader]?/Other
16
5620
0
0
0
0
0
16
Sysmiss
5620
H4. What was the total revenue from [Crop produce sellers] that was realised in
14
5622
100
6000000
1336435.714
1783950.977
What was the total revenue from [Crop produce sellers] that was realised in the
14
5622
8000
3000000
302714.286
781146.143
To whom did you sell your product/service of [Crop produce sellers]?
14
0
Native households
2
Native households Traders Other refugee households
1
Other refugee households
1
Other refugee households Native households
1
Traders
8
Traders Native households
1
To whom did you sell your product/service of [Crop produce sellers]?/Other refug
14
5622
0
1
0.214
0.426
0
11
1
3
Sysmiss
5622
To whom did you sell your product/service of [Crop produce sellers]?/Native hous
14
5622
0
1
0.357
0.497
0
9
1
5
Sysmiss
5622
To whom did you sell your product/service of [Crop produce sellers]?/Traders
14
5622
0
1
0.714
0.469
0
4
1
10
Sysmiss
5622
To whom did you sell your product/service of [Crop produce sellers]?/Other (spec
14
5622
0
0
0
0
0
14
Sysmiss
5622
In which % did you sell your product/service to [other refugees]?238
3
5633
20
100
50
43.589
In which % did you sell your product/service to [native households]?239
5
5631
30
100
72
31.145
In which % did you sell your product/service to [traders]?240
10
5626
40
100
84
25.906
Where did you sell most of [Crop produce sellers]?
14
0
Closest town Trade centres
1
Here
4
Here Neighbouring village Closest town
1
Here Other
1
Itinerant trader
2
Itinerant trader Trade centres
1
Trade centres
1
Trade centres Itinerant trader
3
Where did you sell most of [Crop produce sellers]?/Here
14
5622
0
1
0.429
0.514
0
8
1
6
Sysmiss
5622
Where did you sell most of [Crop produce sellers]?/Neighbouring village
14
5622
0
1
0.0714
0.267
0
13
1
1
Sysmiss
5622
Where did you sell most of [Crop produce sellers]?/Closest town
14
5622
0
1
0.143
0.363
0
12
1
2
Sysmiss
5622
Where did you sell most of [Crop produce sellers]?/Trade centres
14
5622
0
1
0.429
0.514
0
8
1
6
Sysmiss
5622
Where did you sell most of [Crop produce sellers]?/Itinerant trader
14
5622
0
1
0.429
0.514
0
8
1
6
Sysmiss
5622
Where did you sell most of [Crop produce sellers]?/Other
14
5622
0
1
0.0714
0.267
0
13
1
1
Sysmiss
5622
Specify other:242
1
0
Adjumani
1
H4. What was the total revenue from [Fish trader] that was realised in the past
50
5586
50000
8000000
1441720
1457665.789
What was the total revenue from [Fish traders] that was realised in the PAST ONE
50
5586
0
450000
116526.76
112687.73
To whom did you sell your product/service of [Fish traders]?
50
0
Native households
5
Native households Other refugee households
7
Native households Other refugee households Traders
2
Native households Traders Other refugee households
1
Other refugee households
6
Other refugee households Native households
8
Other refugee households Traders
2
Traders
10
Traders Native households
2
Traders Native households Other refugee households
4
Traders Other refugee households
2
Traders Other refugee households Native households
1
To whom did you sell your product/service of [Fish traders]?/Other refugee house
50
5586
0
1
0.66
0.479
0
17
1
33
Sysmiss
5586
To whom did you sell your product/service of [Fish traders]?/Native households
50
5586
0
1
0.6
0.495
0
20
1
30
Sysmiss
5586
To whom did you sell your product/service of [Fish traders]?/Traders
50
5586
0
1
0.48
0.505
0
26
1
24
Sysmiss
5586
To whom did you sell your product/service of [Fish traders]?/Other (specify)
50
5586
0
0
0
0
0
50
Sysmiss
5586
In which % did you sell your product/service to [other refugees]?244
33
5603
10
100
52.879
27.071
In which % did you sell your product/service to [native households]?245
30
5606
20
100
57.167
24.129
In which % did you sell your product/service to [traders]?246
24
5612
20
100
64.167
35.253
Where did you sell most of [Fish traders]?
50
0
Closest town
3
Closest town Trade centres
1
Here
17
Here Neighbouring village
1
Here Neighbouring village Closest town Trade centres
2
Here Neighbouring village Trade centres
4
Here Trade centres
2
Here Trade centres Closest town
1
Trade centres
17
Trade centres Closest town Here Neighbouring village
1
Trade centres Neighbouring village Here
1
Where did you sell most of [Fish traders]?/Here
50
5586
0
1
0.58
0.499
0
21
1
29
Sysmiss
5586
Where did you sell most of [Fish traders]?/Neighbouring village
50
5586
0
1
0.18
0.388
0
41
1
9
Sysmiss
5586
Where did you sell most of [Fish traders]?/Closest town
50
5586
0
1
0.16
0.37
0
42
1
8
Sysmiss
5586
Where did you sell most of [Fish traders]?/Trade centres
50
5586
0
1
0.58
0.499
0
21
1
29
Sysmiss
5586
Where did you sell most of [Fish traders]?/Itinerant trader
50
5586
0
0
0
0
0
50
Sysmiss
5586
Where did you sell most of [Fish traders]?/Other
50
5586
0
0
0
0
0
50
Sysmiss
5586
H4. What was the total revenue from [Livestock products processor (including hon
3
5633
60000
1200000
570000
579396.237
What was the total revenue from [Livestock products processor (including honey o
3
5633
0
100000
34833.333
56480.823
To whom did you sell your product/service of [Livestock products processor (incl
3
0
Native households
1
Other refugee households
1
Traders
1
To whom did you sell your product/service of [Livestock products processor (incl
3
5633
0
1
0.333
0.577
0
2
1
1
Sysmiss
5633
To whom did you sell your product/service of [Livestock products processor (incl
3
5633
0
1
0.333
0.577
0
2
1
1
Sysmiss
5633
To whom did you sell your product/service of [Livestock products processor (incl
3
5633
0
1
0.333
0.577
0
2
1
1
Sysmiss
5633
To whom did you sell your product/service of [Livestock products processor (incl
3
5633
0
0
0
0
0
3
Sysmiss
5633
In which % did you sell your product/service to [other refugees]?250
1
5635
10
10
10
10
1
Sysmiss
5635
In which % did you sell your product/service to [native households]?251
1
5635
100
100
100
100
1
Sysmiss
5635
In which % did you sell your product/service to [traders]?252
1
5635
100
100
100
100
1
Sysmiss
5635
Where did you sell most of [Livestock products processor (including honey or api
3
0
Here
2
Neighbouring village
1
Where did you sell most of [Livestock products processor (including honey or api
3
5633
0
1
0.667
0.577
0
1
1
2
Sysmiss
5633
Where did you sell most of [Livestock products processor (including honey or api
3
5633
0
1
0.333
0.577
0
2
1
1
Sysmiss
5633
Where did you sell most of [Livestock products processor (including honey or api
3
5633
0
0
0
0
0
3
Sysmiss
5633
Where did you sell most of [Livestock products processor (including honey or api
3
5633
0
0
0
0
0
3
Sysmiss
5633
Where did you sell most of [Livestock products processor (including honey or api
3
5633
0
0
0
0
0
3
Sysmiss
5633
Where did you sell most of [Livestock products processor (including honey or api
3
5633
0
0
0
0
0
3
Sysmiss
5633
H4. What was the total revenue from [Pharmacist] that was realised in the past 1
7
5629
800000
4200000
2451428.571
1408491.256
What was the total revenue from [Pharmacist] that was realised in the PAST ONE M
7
5629
30000
500000
198333.286
180470.101
To whom did you sell your product/service of [Pharmacist]?
7
0
Native households
2
Native households Other refugee households
1
Native households Other refugee households Traders
1
Other refugee households Native households
2
Traders Native households Other refugee households
1
To whom did you sell your product/service of [Pharmacist]?/Other refugee househo
7
5629
0
1
0.714
0.488
0
2
1
5
Sysmiss
5629
To whom did you sell your product/service of [Pharmacist]?/Native households
7
5629
1
1
1
0
1
7
Sysmiss
5629
To whom did you sell your product/service of [Pharmacist]?/Traders
7
5629
0
1
0.286
0.488
0
5
1
2
Sysmiss
5629
To whom did you sell your product/service of [Pharmacist]?/Other (specify)
7
5629
0
0
0
0
0
7
Sysmiss
5629
In which % did you sell your product/service to [other refugees]?256
5
5631
10
70
31
23.022
In which % did you sell your product/service to [native households]?257
7
5629
30
100
66.429
24.616
In which % did you sell your product/service to [traders]?258
2
5634
20
30
25
7.071
20
1
30
1
Sysmiss
5634
Where did you sell most of [Pharmacist]?
7
0
Here
4
Here Neighbouring village Closest town Trade centres
1
Neighbouring village Closest town
1
Trade centres Neighbouring village Closest town
1
Where did you sell most of [Pharmacist]?/Here
7
5629
0
1
0.714
0.488
0
2
1
5
Sysmiss
5629
Where did you sell most of [Pharmacist]?/Neighbouring village
7
5629
0
1
0.429
0.535
0
4
1
3
Sysmiss
5629
Where did you sell most of [Pharmacist]?/Closest town
7
5629
0
1
0.429
0.535
0
4
1
3
Sysmiss
5629
Where did you sell most of [Pharmacist]?/Trade centres
7
5629
0
1
0.286
0.488
0
5
1
2
Sysmiss
5629
Where did you sell most of [Pharmacist]?/Itinerant trader
7
5629
0
0
0
0
0
7
Sysmiss
5629
Where did you sell most of [Pharmacist]?/Other
7
5629
0
0
0
0
0
7
Sysmiss
5629
H4. What was the total revenue from [Community health Vets] that was realised in
4
5632
20000
6000000
3905000
2826322.699
What was the total revenue from [Community health vets] that was realised in the
4
5632
4000
500000
326000
234458.241
To whom did you sell your product/service of [Community health vets]?
4
0
Native households
1
Native households Traders
1
Other refugee households
1
Other refugee households Native households Traders
1
To whom did you sell your product/service of [Community health vets]?/Other refu
4
5632
0
1
0.5
0.577
0
2
1
2
Sysmiss
5632
To whom did you sell your product/service of [Community health vets]?/Native hou
4
5632
0
1
0.75
0.5
0
1
1
3
Sysmiss
5632
To whom did you sell your product/service of [Community health vets]?/Traders
4
5632
0
1
0.5
0.577
0
2
1
2
Sysmiss
5632
To whom did you sell your product/service of [Community health vets]?/Other (spe
4
5632
0
0
0
0
0
4
Sysmiss
5632
In which % did you sell your product/service to [other refugees]?262
2
5634
30
80
55
35.355
In which % did you sell your product/service to [native households]?263
3
5633
40
60
50
10
40
1
50
1
60
1
Sysmiss
5633
In which % did you sell your product/service to [traders]?264
2
5634
20
60
40
28.284
h4_17_28. Where did you sell most of [Community health vets]?
4
0
Here
2
Here Neighbouring village Trade centres Closest town
1
Neighbouring village Trade centres
1
h4_17_28. Where did you sell most of [Community health vets]?/Here
4
5632
0
1
0.75
0.5
0
1
1
3
Sysmiss
5632
h4_17_28. Where did you sell most of [Community health vets]?/Neighbouring villa
4
5632
0
1
0.5
0.577
0
2
1
2
Sysmiss
5632
h4_17_28. Where did you sell most of [Community health vets]?/Closest town
4
5632
0
1
0.25
0.5
0
3
1
1
Sysmiss
5632
h4_17_28. Where did you sell most of [Community health vets]?/Trade centres
4
5632
0
1
0.5
0.577
0
2
1
2
Sysmiss
5632
h4_17_28. Where did you sell most of [Community health vets]?/Itinerant trader
4
5632
0
0
0
0
0
4
Sysmiss
5632
h4_17_28. Where did you sell most of [Community health vets]?/Other
4
5632
0
0
0
0
0
4
Sysmiss
5632
H4. What was the total revenue from ${h3other} that was realised in the past 12
187
5449
70
36000000
1720359.947
4113769.357
What was the total revenue from ${h3other} that was realised in the PAST ONE MON
187
5449
0
4000000
212675.401
518181.453
To whom did you sell your product/service of ${h3other}?
187
0
Native households
54
Native households Other refugee households
13
Native households Other refugee households Traders
4
Native households Traders
5
Native households Traders Other refugee households
1
Other (specify)
5
Other refugee households
34
Other refugee households Native households
17
Other refugee households Native households Other (specify)
1
Other refugee households Native households Traders
2
Other refugee households Traders
2
Other refugee households Traders Native households
1
Traders
30
Traders Native households
2
Traders Native households Other refugee households
5
Traders Other refugee households
6
Traders Other refugee households Native households
5
To whom did you sell your product/service of ${h3other}?/Other refugee household
187
5449
0
1
0.487
0.501
0
96
1
91
Sysmiss
5449
To whom did you sell your product/service of ${h3other}?/Native households
187
5449
0
1
0.588
0.493
0
77
1
110
Sysmiss
5449
To whom did you sell your product/service of ${h3other}?/Traders
187
5449
0
1
0.337
0.474
0
124
1
63
Sysmiss
5449
To whom did you sell your product/service of ${h3other}?/Other (specify)
187
5449
0
1
0.0321
0.177
0
181
1
6
Sysmiss
5449
Specify other:267
6
0
1
Mercy Corps
1
None( he is waiting until he gets a reasonable price)
1
The product gotten is money which is used to buy food
1
Town
1
Travellers
1
In which % did you sell your product/service to [other refugees]?268
91
5545
5
100
64.945
27.411
In which % did you sell your product/service to [native households]?269
110
5526
10
100
67.873
31.882
In which % did you sell your product/service to [traders]?270
63
5573
5
100
64.968
33.834
In which % did you sell your product/service to ${h4_16_1other}?271
6
5630
0
100
55
50.498
Where did you sell most of ${h4_16_1other}?
187
0
Closest town
13
Closest town Neighbouring village Here
1
Closest town Trade centres
2
Here
68
Here Closest town Neighbouring village
1
Here Closest town Trade centres
1
Here Closest town Trade centres Neighbouring village
1
Here Neighbouring village
9
Here Neighbouring village Closest town Trade centres
3
Here Neighbouring village Closest town Trade centres Itinerant trader
2
Here Neighbouring village Trade centres
1
Here Trade centres
10
Here Trade centres Closest town
1
Itinerant trader
2
Neighbouring village
26
Neighbouring village Closest town
1
Neighbouring village Closest town Trade centres Here
2
Neighbouring village Here
2
Neighbouring village Here Closest town
1
Neighbouring village Trade centres
1
Other
2
Trade centres
24
Trade centres Here
7
Trade centres Itinerant trader
1
Trade centres Neighbouring village
4
Trade centres Neighbouring village Here
1
Where did you sell most of ${h4_16_1other}?/Here
187
5449
0
1
0.594
0.492
0
76
1
111
Sysmiss
5449
Where did you sell most of ${h4_16_1other}?/Neighbouring village
187
5449
0
1
0.299
0.459
0
131
1
56
Sysmiss
5449
Where did you sell most of ${h4_16_1other}?/Closest town
187
5449
0
1
0.155
0.363
0
158
1
29
Sysmiss
5449
Where did you sell most of ${h4_16_1other}?/Trade centres
187
5449
0
1
0.326
0.47
0
126
1
61
Sysmiss
5449
Where did you sell most of ${h4_16_1other}?/Itinerant trader
187
5449
0
1
0.0267
0.162
0
182
1
5
Sysmiss
5449
Where did you sell most of ${h4_16_1other}?/Other
187
5449
0
1
0.0107
0.103
0
185
1
2
Sysmiss
5449
Specify other:272
2
0
Didn't sell any product
1
None
1
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
H5. Has your household had any of these sources of income?
5522
0
Apartment, house, Shops, stores, etc.
31
Car, truck, tractor, cart etc
7
Land other than agricultural land
68
None
5395
None Land other than agricultural land
1
Rent Livestock
12
Sale of durable goods of the household
8
H5. Has your household had any of these sources of income?/Land other than agric
5522
114
0
1
0.0125
0.111
0
5453
1
69
Sysmiss
114
H5. Has your household had any of these sources of income?/Apartment, house, Sho
5522
114
0
1
0.00561
0.0747
0
5491
1
31
Sysmiss
114
H5. Has your household had any of these sources of income?/Car, truck, tractor,
5522
114
0
1
0.00127
0.0356
0
5515
1
7
Sysmiss
114
H5. Has your household had any of these sources of income?/Rent Livestock
5522
114
0
1
0.00217
0.0466
0
5510
1
12
Sysmiss
114
H5. Has your household had any of these sources of income?/Sale of house
5522
114
0
0
0
0
0
5522
Sysmiss
114
H5. Has your household had any of these sources of income?/Sale of durable goods
5522
114
0
1
0.00145
0.038
0
5514
1
8
Sysmiss
114
H5. Has your household had any of these sources of income?/None
5522
114
0
1
0.977
0.149
0
126
1
5396
Sysmiss
114
H5_1. What was the total revenue from Rental Income [Land other than agricultura
69
5567
0
2500000
416971.493
517956.398
What was the total revenue from Rental Income [Land other than agricultural land
69
5567
0
2500000
68608.696
302810.279
h7_1. To whom did you sell most of Rental Income [Land other than agricultural l
66
0
Native households
37
Native households Other refugee households
3
Native households Traders
1
Other refugee households
19
Other refugee households Native households
6
h7_1. To whom did you sell most of Rental Income [Land other than agricultural l
66
5570
0
1
0.424
0.498
0
38
1
28
Sysmiss
5570
h7_1. To whom did you sell most of Rental Income [Land other than agricultural l
66
5570
0
1
0.712
0.456
0
19
1
47
Sysmiss
5570
h7_1. To whom did you sell most of Rental Income [Land other than agricultural l
66
5570
0
1
0.0152
0.123
0
65
1
1
Sysmiss
5570
h7_1. To whom did you sell most of Rental Income [Land other than agricultural l
66
5570
0
0
0
0
0
66
Sysmiss
5570
28
5608
0
100
75.743
34.408
47
5589
0.25
100
82.027
29.559
1
5635
30
30
30
30
1
Sysmiss
5635
h8_1. Where did you receive most of Rental Income [Land other than agricultural
66
0
Here
44
Here Neighbouring village
2
Neighbouring village
12
Neighbouring village Closest town Trade centres
1
Neighbouring village Here
1
Neighbouring village Trade centres
2
Trade centres
3
Trade centres Closest town Neighbouring village
1
h8_1. Where did you receive most of Rental Income [Land other than agricultural
66
5570
0
1
0.712
0.456
0
19
1
47
Sysmiss
5570
h8_1. Where did you receive most of Rental Income [Land other than agricultural
66
5570
0
1
0.288
0.456
0
47
1
19
Sysmiss
5570
h8_1. Where did you receive most of Rental Income [Land other than agricultural
66
5570
0
1
0.0303
0.173
0
64
1
2
Sysmiss
5570
h8_1. Where did you receive most of Rental Income [Land other than agricultural
66
5570
0
1
0.106
0.31
0
59
1
7
Sysmiss
5570
h8_1. Where did you receive most of Rental Income [Land other than agricultural
66
5570
0
0
0
0
0
66
Sysmiss
5570
h8_1. Where did you receive most of Rental Income [Land other than agricultural
66
5570
0
0
0
0
0
66
Sysmiss
5570
H5_2. What was the total revenue from Rental Income [Apartment, house, Shops, st
31
5605
50000
54000000
3916935.484
9804042.591
What was the total revenue from Rental Income [Apartment, house, Shops, stores,
31
5605
0
4500000
305838.71
808675.341
h7_2. To whom did you sell most of Rental Income [Apartment, house, Shops, store
31
0
Native households
22
Native households Other refugee households
1
Other refugee households
3
Other refugee households Native households
1
Traders
3
Traders Native households
1
h7_2. To whom did you sell most of Rental Income [Apartment, house, Shops, store
31
5605
0
1
0.161
0.374
0
26
1
5
Sysmiss
5605
h7_2. To whom did you sell most of Rental Income [Apartment, house, Shops, store
31
5605
0
1
0.806
0.402
0
6
1
25
Sysmiss
5605
h7_2. To whom did you sell most of Rental Income [Apartment, house, Shops, store
31
5605
0
1
0.129
0.341
0
27
1
4
Sysmiss
5605
h7_2. To whom did you sell most of Rental Income [Apartment, house, Shops, store
31
5605
0
0
0
0
0
31
Sysmiss
5605
5
5631
17
100
71.4
39.997
25
5611
30
100
90.12
21.936
4
5632
60
100
90
20
h8_2. Where did you receive most of Rental Income [Apartment, house, Shops, stor
31
0
Here
23
Neighbouring village
1
Neighbouring village Trade centres
1
Trade centres
6
h8_2. Where did you receive most of Rental Income [Apartment, house, Shops, stor
31
5605
0
1
0.742
0.445
0
8
1
23
Sysmiss
5605
h8_2. Where did you receive most of Rental Income [Apartment, house, Shops, stor
31
5605
0
1
0.0645
0.25
0
29
1
2
Sysmiss
5605
h8_2. Where did you receive most of Rental Income [Apartment, house, Shops, stor
31
5605
0
0
0
0
0
31
Sysmiss
5605
h8_2. Where did you receive most of Rental Income [Apartment, house, Shops, stor
31
5605
0
1
0.226
0.425
0
24
1
7
Sysmiss
5605
h8_2. Where did you receive most of Rental Income [Apartment, house, Shops, stor
31
5605
0
0
0
0
0
31
Sysmiss
5605
h8_2. Where did you receive most of Rental Income [Apartment, house, Shops, stor
31
5605
0
0
0
0
0
31
Sysmiss
5605
H5_3. What was the total revenue from Rental Income [Car, truck, tractor, cart e
7
5629
180000
12000000
4905714.286
4532294.699
What was the total revenue from Rental Income [Car, truck, tractor, cart etc] th
7
5629
15000
1500000
422142.857
593210.595
h7_3. From whom did you receive the Rental Income [Car, truck, tractor, cart etc
7
0
Native households
3
Native households Other refugee households Traders
1
Native households Traders
1
Other refugee households Native households
1
Other refugee households Native households Traders
1
h7_3. From whom did you receive the Rental Income [Car, truck, tractor, cart etc
7
5629
0
1
0.429
0.535
0
4
1
3
Sysmiss
5629
h7_3. From whom did you receive the Rental Income [Car, truck, tractor, cart etc
7
5629
1
1
1
0
1
7
Sysmiss
5629
h7_3. From whom did you receive the Rental Income [Car, truck, tractor, cart etc
7
5629
0
1
0.429
0.535
0
4
1
3
Sysmiss
5629
h7_3. From whom did you receive the Rental Income [Car, truck, tractor, cart etc
7
5629
0
0
0
0
0
7
Sysmiss
5629
3
5633
20
65
48.333
24.664
7
5629
20
100
65.714
33.594
3
5633
15
50
31.667
17.559
h8_3. Where did you receive most of Rental Income [Car, truck, tractor, cart etc
7
0
Here
2
Here Closest town Neighbouring village
1
Here Neighbouring village Closest town Trade centres
1
Here Neighbouring village Closest town Trade centres Itinerant trader
1
Trade centres Closest town Neighbouring village Here
1
Trade centres Here Neighbouring village
1
h8_3. Where did you receive most of Rental Income [Car, truck, tractor, cart etc
7
5629
1
1
1
0
1
7
Sysmiss
5629
h8_3. Where did you receive most of Rental Income [Car, truck, tractor, cart etc
7
5629
0
1
0.714
0.488
0
2
1
5
Sysmiss
5629
h8_3. Where did you receive most of Rental Income [Car, truck, tractor, cart etc
7
5629
0
1
0.571
0.535
0
3
1
4
Sysmiss
5629
h8_3. Where did you receive most of Rental Income [Car, truck, tractor, cart etc
7
5629
0
1
0.571
0.535
0
3
1
4
Sysmiss
5629
h8_3. Where did you receive most of Rental Income [Car, truck, tractor, cart etc
7
5629
0
1
0.143
0.378
0
6
1
1
Sysmiss
5629
h8_3. Where did you receive most of Rental Income [Car, truck, tractor, cart etc
7
5629
0
0
0
0
0
7
Sysmiss
5629
H5_4. What is the total revenue from Rental Income [Livestock] in the LAST 12 MO
12
5624
200000
7800000
1898333.333
2160239.184
What was the total revenue from Rental Income [Livestock] that was realised in t
12
5624
0
1200000
286666.667
409313.912
12
0
Native households
7
Native households Other refugee households
2
Native households Traders
1
Other refugee households Native households
2
12
5624
0
1
0.333
0.492
0
8
1
4
Sysmiss
5624
12
5624
1
1
1
0
1
12
Sysmiss
5624
12
5624
0
1
0.0833
0.289
0
11
1
1
Sysmiss
5624
12
5624
0
0
0
0
0
12
Sysmiss
5624
What percentage of Rental Income [Livestock] did you sell to [other refugee hous
4
5632
50
80
65
17.321
What percentage of Rental Income [Livestock] did you sell to [native households]
12
5624
20
100
75
32.891
What percentage of Rental Income [Livestock] did you sell to [traders]?
1
5635
40
40
40
40
1
Sysmiss
5635
h8_4. Where did you sell most of Rental Income [Livestock]?
12
0
Here
6
Here Neighbouring village
4
Neighbouring village
1
Trade centres
1
h8_4. Where did you sell most of Rental Income [Livestock]?/Here
12
5624
0
1
0.833
0.389
0
2
1
10
Sysmiss
5624
h8_4. Where did you sell most of Rental Income [Livestock]?/Neighbouring village
12
5624
0
1
0.417
0.515
0
7
1
5
Sysmiss
5624
h8_4. Where did you sell most of Rental Income [Livestock]?/Closest town
12
5624
0
0
0
0
0
12
Sysmiss
5624
h8_4. Where did you sell most of Rental Income [Livestock]?/Trade centres
12
5624
0
1
0.0833
0.289
0
11
1
1
Sysmiss
5624
h8_4. Where did you sell most of Rental Income [Livestock]?/Itinerant trader
12
5624
0
0
0
0
0
12
Sysmiss
5624
h8_4. Where did you sell most of Rental Income [Livestock]?/Other
12
5624
0
0
0
0
0
12
Sysmiss
5624
H5_6. What was the total revenue from sale of durable goods in the LAST 12 MONTH
8
5628
20000
2850000
758750
921356.725
What was the total revenue from sale of durable goods that was realised in the P
8
5628
0
300000
81250
109991.883
h7_6. To whom did you sell the durable goods?
8
0
Native households
1
Native households Traders
1
Other refugee households
2
Traders
3
Traders Other refugee households
1
h7_6. To whom did you sell the durable goods?/Other refugee households
8
5628
0
1
0.375
0.518
0
5
1
3
Sysmiss
5628
h7_6. To whom did you sell the durable goods?/Native households
8
5628
0
1
0.25
0.463
0
6
1
2
Sysmiss
5628
h7_6. To whom did you sell the durable goods?/Traders
8
5628
0
1
0.625
0.518
0
3
1
5
Sysmiss
5628
h7_6. To whom did you sell the durable goods?/Other (specify)
8
5628
0
0
0
0
0
8
Sysmiss
5628
What percentage of the durable goods did you sell to [other refugee households]?
3
5633
50
50
50
0
50
3
Sysmiss
5633
2
5634
30
100
65
49.497
5
5631
50
100
76
23.022
h8_6. Where did you sell most of sale of durable goods?
8
0
Here
3
Neighbouring village
1
Trade centres
3
Trade centres Neighbouring village
1
h8_6. Where did you sell most of sale of durable goods?/Here
8
5628
0
1
0.375
0.518
0
5
1
3
Sysmiss
5628
h8_6. Where did you sell most of sale of durable goods?/Neighbouring village
8
5628
0
1
0.25
0.463
0
6
1
2
Sysmiss
5628
h8_6. Where did you sell most of sale of durable goods?/Closest town
8
5628
0
0
0
0
0
8
Sysmiss
5628
h8_6. Where did you sell most of sale of durable goods?/Trade centres
8
5628
0
1
0.5
0.535
0
4
1
4
Sysmiss
5628
h8_6. Where did you sell most of sale of durable goods?/Itinerant trader
8
5628
0
0
0
0
0
8
Sysmiss
5628
h8_6. Where did you sell most of sale of durable goods?/Other
8
5628
0
0
0
0
0
8
Sysmiss
5628
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
In the last 12 months, have you or any of your household members experienced any
5636
1
0
Crop damage when stored
1
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.11
0.312
0
5018
1
618
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.0978
0.297
0
5085
1
551
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.678
0.467
0
1817
1
3819
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.00426
0.0651
0
5612
1
24
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.0568
0.231
0
5316
1
320
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.139
0.346
0
4855
1
781
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.239
0.427
0
4289
1
1347
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.0834
0.276
0
5166
1
470
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.282
0.45
0
4045
1
1591
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.0562
0.23
0
5319
1
317
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.126
0.332
0
4926
1
710
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.389
0.488
0
3444
1
2192
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.0901
0.286
0
5128
1
508
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.0151
0.122
0
5551
1
85
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.0481
0.214
0
5365
1
271
In the last 12 months, have you or any of your household members experienced any
5636
0
0
1
0.0254
0.157
0
5493
1
143
Specify this other shock:
143
Animal destruction of animals and hostility of refugees against the host community
1
Animal grazing in their garden and destroyed crops, Locusts/ grasshoppers eaten sorghum from the garden.
1
Animals come and eat their crops
1
Animals destroying community items and conflicts with refugees
1
Animals destroying crops
1
Cattle Destroyed all her garden plants and she harvested nothing
1
1
1
Covid
2
Covid19 outbreak
1
Crop destroyed by cows
1
Crop destroyed by stray animals.
1
Crops being destroyed by stray animals of the nationals.
1
Crops destroyed by other people's cattle
1
Crops destroyed by stray animals .
1
Crops eaten by domestic animals
1
Cultural diversity with refugees who are hostile
1
Customers who dont pay debts
1
Death of the other in law to the head
1
Debts
1
1
1
Displaced by army men from our village
1
Displaced from my village by army men
1
Domestic animals eating crops
1
1
Effects of corona lock down for two years almost
1
Famine
3
Fire out break which burnt the all home
1
Fish being seized by marine police
1
Floods
1
Food is expensive for chicken i.e maize @900shs per kg
1
Food shortage
1
Food shortages
1
Food shortages in the Supply chain
1
Food theft
1
General Fluctuations in Crop produce
1
Gilbert is sick cannot work
1
Goats eating crops
1
Got a miscarriage
1
Got accident
1
Grasshoppers eaten the crops in the garden
1
Heavy rains
2
Her husband mr.Edema Sam is sick in Arua Hospital since last year and this makes her suffer a lot
1
High cost of medicines
1
Hippos eating their crops
1
Hospitalisation of a family member for a long time
1
Hunger
1
Hunger due to limited food
1
Hunger due to limited ratio and land for farming
1
Improper tools for fishing
1
1
3
Inadequate food for the family
1
Inadequate land and rains for agriculture
1
Inadequate land for farming
9
Inappropriate tools to be used for farming
1
Increased High prices on land for rent
1
Infertile soils
1
Lack of Electricity
1
Lack of land for agriculture
1
Lack of land for farming
1
Less land for more agricultural produce
1
Limited food
1
Limited land for farming sice they have given it to the refugees
1
1
Livestock stealing
1
Loss of crops due to negligence of cattle owners
1
Loss of our agriculture land
1
Lost my child
1
Lost my father
1
Lost my wife in September
1
My family was displaced by the army from my village
1
No access to land
1
No enough land for farming
1
1
Poor soil
1
Poor soils
2
Poverty
1
Price fluctuation
1
Price fluctuation, no money to buy water
1
Prices of selling especially beans is too low
1
Prices of water
1
1
Reducing the financial support
1
Reduction in Financial assistance
2
Reduction in Formal financial assistance
2
Reduction in cash assistance
1
Reduction in formal financial assistance
1
Reduction in the cash assistance offered to the family by WFP
1
Reduction of financial assistance
1
Reductionin financial assistance
1
1
Rocky land
1
Security isn't guaranteed
1
Sh9rtage of land
1
She has pains on her waist due to operation
1
Shortage of land
2
Shortageof land
1
Sickness
1
Small shamba
1
Sorghum eaten by grasshoppers
1
Sunshine
1
The household head is sickly
1
1
The household was displaced by the army from their village
1
1
The weed(witch weed)
1
Theft
1
Theft from the refugees
2
1
Thefty
3
Thefty in the village
1
Thefty of crops in the gardens
1
Thefty of our belongings by other community individuals
1
Thieves who stole maize from the garden
1
Too much hunger
1
Too much hunger due to little food ratio and limited land for agriculture
1
Transporting seeds of tomatoes from mbarara is high
1
1
We were displayed by the army from our village.
1
1
J2. How would you rank the impact of [ Flood ] to the household based on the fol
551
0
Minimal
38
Moderate
136
Severe
211
Very Severe
166
J2. How would you rank the impact of [ Drought/ dry spells – water shortage for
3819
0
Minimal
151
Moderate
1090
Severe
1574
Very Severe
1004
J2. How would you rank the impact of [ Frost ] to the household based on the fol
24
0
Minimal
1
Moderate
13
Severe
8
Very Severe
2
J2. How would you rank the impact of [ Hail/Hail stones ] to the household based
320
0
Minimal
16
Moderate
94
Severe
172
Very Severe
38
J2. How would you rank the impact of [ Strong winds? ] to the household based on
781
0
Minimal
39
Moderate
257
Severe
326
Very Severe
159
J2. How would you rank the impact of [ Crop diseases & pests ] to the household
1347
0
Minimal
100
Moderate
599
Severe
509
Very Severe
139
470
0
Minimal
41
Moderate
148
Severe
200
Very Severe
81
J2. How would you rank the impact of [ High food prices ] to the household based
1591
0
Minimal
69
Moderate
516
Severe
729
Very Severe
277
J2. How would you rank the impact of [ High input prices ] to the household base
317
0
Minimal
19
Moderate
95
Severe
166
Very Severe
37
J2. How would you rank the impact of [ Severe water shortage - for domestic use
710
0
Minimal
70
Moderate
217
Severe
297
Very Severe
126
J2. How would you rank the impact of [ Crop failure ] to the household based on
2192
0
Minimal
123
Moderate
694
Severe
902
Very Severe
473
J2. How would you rank the impact of [ Livestock death ] to the household based
508
0
Minimal
29
Moderate
186
Severe
213
Very Severe
80
J2. How would you rank the impact of [ Storm/Hail storm ] to the household based
85
0
Minimal
4
Moderate
41
Severe
36
Very Severe
4
J2. How would you rank the impact of [ Crop damage when stored ] to the househol
271
0
Minimal
36
Moderate
125
Severe
65
Very Severe
45
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
K1. During this year (2020), did any members of your household suffer from the s
5636
0
1
2
1
No
5153
2
Yes
483
K2. Did you/your HH suffer any income loss due to COVID-19?
5636
0
1
2
1
No
3078
2
Yes
2558
k3. Did you/your HH face any problem to access food due to COVID-19
5636
0
1
2
1
No
2989
2
Yes
2647
K.21 Mobility
5636
0
1
5
1
I am unable to walk about
20
2
I have moderate problems in walking about
261
3
I have no problems in walking about
4505
4
I have severe problems in walking about
155
5
I have slight problems in walking about
695
K2.2 SELF-CARE
5636
0
1
5
1
I am unable to wash or dress myself
16
2
I have moderate problems washing or dressing myself
181
3
I have no problems washing or dressing myself
4763
4
I have severe problems washing or dressing myself
67
5
I have slight problems washing or dressing myself
609
K2.3 USUAL ACTIVITIES (e.g. work, study, housework, family or leisure activities
5636
0
1
5
1
I am unable to do my usual activities
27
2
I have moderate problems doing my usual activities
272
3
I have no problems doing my usual activities
4460
4
I have severe problems doing my usual activities
121
5
I have slight problems doing my usual activities
756
K2.4 PAIN / DISCOMFORT
5636
0
1
5
1
I am extremely anxious or depressed
13
2
I am severely anxious or depressed
99
3
439
4
I have no pain or discomfort
3808
5
I have slight pain or discomfort
1277
K2.6 On a scale numbered from 0 to 100, we would like to know how good or bad yo
5636
0
0
1000
70.137
25.768
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
k4. Prior to your arrival in Uganda, have people in your household experienced a
3091
I donÂ’t know
37
I donÂ’t know No
3
No
1567
No Was threatened with knife, gun or other type of weapon
1
Others
45
Others Was threatened with knife, gun or other type of weapon Was kidnapped/abducted
1
Was attacked with knife, gun or other type of weapon
61
Was attacked with knife, gun or other type of weapon Others
3
Was attacked with knife, gun or other type of weapon Was forced to labor Was kidnapped/abducted
2
Was attacked with knife, gun or other type of weapon Was injured by a landmine/UXO
1
Was attacked with knife, gun or other type of weapon Was injured by a landmine/UXO Was physically forced to have sexual intercourse Was robbed Was kidnapped/abducted
1
Was attacked with knife, gun or other type of weapon Was kidnapped/abducted Was forced to labor
1
Was attacked with knife, gun or other type of weapon Was kidnapped/abducted Was physically forced to have sexual intercourse
1
Was attacked with knife, gun or other type of weapon Was robbed
18
Was attacked with knife, gun or other type of weapon Was robbed Was threatened with knife, gun or other type of weapon
2
Was attacked with knife, gun or other type of weapon Was robbed Was verbally threatened or insulted
1
Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon
18
Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was forced to labor
3
Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was kidnapped/abducted
1
Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was robbed
7
Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was robbed Others
1
Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted Was robbed
3
Was attacked with knife, gun or other type of weapon Was verbally threatened or insulted
3
Was attacked with knife, gun or other type of weapon Was verbally threatened or insulted Was robbed
1
Was attacked with knife, gun or other type of weapon Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon
2
Was attacked with knife, gun or other type of weapon Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was robbed
2
Was forced to labor
14
Was forced to labor Was attacked with knife, gun or other type of weapon
4
Was forced to labor Was kidnapped/abducted
2
Was forced to labor Was kidnapped/abducted Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted
1
Was forced to labor Was robbed Was threatened with knife, gun or other type of weapon
1
Was forced to labor Was threatened with knife, gun or other type of weapon
1
Was forced to labor Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon
1
Was forced to labor Was verbally threatened or insulted Was robbed
1
Was injured by a landmine/UXO
6
Was injured by a landmine/UXO No
1
Was injured by a landmine/UXO Was attacked with knife, gun or other type of weapon
1
Was injured by a landmine/UXO Was forced to labor Was verbally threatened or insulted Others
1
Was injured by a landmine/UXO Was kidnapped/abducted Was robbed Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted
1
Was injured by a landmine/UXO Was robbed
1
Was kidnapped/abducted
6
Was kidnapped/abducted No
2
Was kidnapped/abducted Was attacked with knife, gun or other type of weapon
2
Was kidnapped/abducted Was attacked with knife, gun or other type of weapon Was robbed Was forced to labor
1
Was kidnapped/abducted Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon
1
Was kidnapped/abducted Was forced to labor
1
Was kidnapped/abducted Was robbed
1
Was kidnapped/abducted Was robbed Was forced to labor Was physically forced to have sexual intercourse Was attacked with knife, gun or other type of weapon Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon
1
Was kidnapped/abducted Was robbed Was injured by a landmine/UXO
1
Was kidnapped/abducted Was robbed Was threatened with knife, gun or other type of weapon
3
Was kidnapped/abducted Was robbed Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted
1
Was kidnapped/abducted Was robbed Was verbally threatened or insulted
1
Was kidnapped/abducted Was robbed Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon
1
Was kidnapped/abducted Was threatened with knife, gun or other type of weapon
1
Was kidnapped/abducted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon
1
Was kidnapped/abducted Was verbally threatened or insulted
2
Was physically forced to have sexual intercourse
6
Was physically forced to have sexual intercourse Was attacked with knife, gun or other type of weapon
2
Was physically forced to have sexual intercourse Was attacked with knife, gun or other type of weapon Was robbed Others
1
Was physically forced to have sexual intercourse Was forced to labor Was kidnapped/abducted
1
Was physically forced to have sexual intercourse Was robbed
2
Was physically forced to have sexual intercourse Was robbed Others
1
Was physically forced to have sexual intercourse Was robbed Was kidnapped/abducted Was forced to labor Was threatened with knife, gun or other type of weapon
1
Was physically forced to have sexual intercourse Was robbed Was verbally threatened or insulted
1
Was physically forced to have sexual intercourse Was verbally threatened or insulted
1
Was physically forced to have sexual intercourse Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon
1
Was robbed
152
Was robbed Others
4
Was robbed Was attacked with knife, gun or other type of weapon
5
Was robbed Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon
1
Was robbed Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted
2
Was robbed Was attacked with knife, gun or other type of weapon Was verbally threatened or insulted
1
Was robbed Was forced to labor
3
Was robbed Was forced to labor Was verbally threatened or insulted Was injured by a landmine/UXO
1
Was robbed Was kidnapped/abducted Was attacked with knife, gun or other type of weapon
1
Was robbed Was kidnapped/abducted Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon
1
Was robbed Was kidnapped/abducted Was attacked with knife, gun or other type of weapon Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon
1
Was robbed Was kidnapped/abducted Was injured by a landmine/UXO
1
Was robbed Was kidnapped/abducted Was threatened with knife, gun or other type of weapon
1
Was robbed Was kidnapped/abducted Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon
1
Was robbed Was kidnapped/abducted Was verbally threatened or insulted
2
Was robbed Was kidnapped/abducted Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon
1
Was robbed Was kidnapped/abducted Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon
1
Was robbed Was physically forced to have sexual intercourse
1
Was robbed Was physically forced to have sexual intercourse Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted
1
Was robbed Was physically forced to have sexual intercourse Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon
1
Was robbed Was threatened with knife, gun or other type of weapon
10
Was robbed Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon
2
Was robbed Was threatened with knife, gun or other type of weapon Was kidnapped/abducted
1
Was robbed Was threatened with knife, gun or other type of weapon Was physically forced to have sexual intercourse
1
Was robbed Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted
2
Was robbed Was verbally threatened or insulted
24
Was robbed Was verbally threatened or insulted Was forced to labor
1
Was robbed Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon
4
Was robbed Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon
1
Was robbed Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was kidnapped/abducted
1
Was threatened with knife, gun or other type of weapon
195
Was threatened with knife, gun or other type of weapon Others
14
Was threatened with knife, gun or other type of weapon Others Was injured by a landmine/UXO
1
Was threatened with knife, gun or other type of weapon Others Was robbed
2
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon
17
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was forced to labor Was kidnapped/abducted
2
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was forced to labor Was kidnapped/abducted Was robbed Was verbally threatened or insulted
1
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was forced to labor Was physically forced to have sexual intercourse
1
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was kidnapped/abducted
10
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was kidnapped/abducted Was forced to labor
1
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was forced to labor
1
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was forced to labor Was robbed
1
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was forced to labor Was robbed Was kidnapped/abducted
4
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was kidnapped/abducted
1
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was robbed
1
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was robbed
5
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was robbed Was forced to labor Was kidnapped/abducted
1
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was robbed Was verbally threatened or insulted
1
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was verbally threatened or insulted
1
Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was verbally threatened or insulted Was forced to labor Was robbed
1
Was threatened with knife, gun or other type of weapon Was forced to labor
4
Was threatened with knife, gun or other type of weapon Was forced to labor Was kidnapped/abducted
1
Was threatened with knife, gun or other type of weapon Was forced to labor Was robbed
1
Was threatened with knife, gun or other type of weapon Was injured by a landmine/UXO Was forced to labor
1
Was threatened with knife, gun or other type of weapon Was kidnapped/abducted
1
Was threatened with knife, gun or other type of weapon Was kidnapped/abducted Was injured by a landmine/UXO Was forced to labor
1
Was threatened with knife, gun or other type of weapon Was kidnapped/abducted Was physically forced to have sexual intercourse Was robbed Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon
1
Was threatened with knife, gun or other type of weapon Was kidnapped/abducted Was robbed
1
Was threatened with knife, gun or other type of weapon Was kidnapped/abducted Was robbed Was attacked with knife, gun or other type of weapon
1
Was threatened with knife, gun or other type of weapon Was kidnapped/abducted Was verbally threatened or insulted
2
Was threatened with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was attacked with knife, gun or other type of weapon Was verbally threatened or insulted Was robbed
1
Was threatened with knife, gun or other type of weapon Was robbed
32
Was threatened with knife, gun or other type of weapon Was robbed Others
4
Was threatened with knife, gun or other type of weapon Was robbed Was attacked with knife, gun or other type of weapon
3
Was threatened with knife, gun or other type of weapon Was robbed Was kidnapped/abducted
1
Was threatened with knife, gun or other type of weapon Was robbed Was kidnapped/abducted Others
1
Was threatened with knife, gun or other type of weapon Was robbed Was verbally threatened or insulted
2
Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted
10
Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon
5
Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was robbed
1
Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was robbed Was kidnapped/abducted Others
1
Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted Was robbed
4
Was threatened with knife, gun or other type of weapon Was verbally threatened or insulted Was robbed Was forced to labor
1
Was verbally threatened or insulted
290
Was verbally threatened or insulted I donÂ’t know
1
Was verbally threatened or insulted No
2
Was verbally threatened or insulted Others
8
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon
24
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was forced to labor Was robbed
1
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was injured by a landmine/UXO Was forced to labor Was robbed
1
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was kidnapped/abducted
4
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was kidnapped/abducted Was robbed
1
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse
1
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was forced to labor Was robbed
1
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was robbed
13
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was robbed Was kidnapped/abducted
1
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon
6
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was kidnapped/abducted Was forced to labor
1
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was physically forced to have sexual intercourse
1
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was robbed Was kidnapped/abducted
1
Was verbally threatened or insulted Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon Was robbed
1
Was verbally threatened or insulted Was forced to labor
6
Was verbally threatened or insulted Was forced to labor Was kidnapped/abducted
1
Was verbally threatened or insulted Was forced to labor Was kidnapped/abducted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon
1
Was verbally threatened or insulted Was forced to labor Was robbed
2
Was verbally threatened or insulted Was forced to labor Was threatened with knife, gun or other type of weapon
5
Was verbally threatened or insulted Was injured by a landmine/UXO
1
Was verbally threatened or insulted Was injured by a landmine/UXO Was attacked with knife, gun or other type of weapon Was forced to labor
1
Was verbally threatened or insulted Was injured by a landmine/UXO Was forced to labor
1
Was verbally threatened or insulted Was injured by a landmine/UXO Was robbed
1
Was verbally threatened or insulted Was kidnapped/abducted
2
Was verbally threatened or insulted Was kidnapped/abducted Was attacked with knife, gun or other type of weapon
3
Was verbally threatened or insulted Was kidnapped/abducted Was forced to labor Was threatened with knife, gun or other type of weapon
1
Was verbally threatened or insulted Was kidnapped/abducted Was robbed
1
Was verbally threatened or insulted Was kidnapped/abducted Was robbed Was forced to labor
1
Was verbally threatened or insulted Was physically forced to have sexual intercourse
3
Was verbally threatened or insulted Was physically forced to have sexual intercourse Was attacked with knife, gun or other type of weapon
1
Was verbally threatened or insulted Was physically forced to have sexual intercourse Was attacked with knife, gun or other type of weapon Was forced to labor Was robbed
1
Was verbally threatened or insulted Was physically forced to have sexual intercourse Was attacked with knife, gun or other type of weapon Was robbed Was injured by a landmine/UXO
1
Was verbally threatened or insulted Was robbed
57
Was verbally threatened or insulted Was robbed Others
1
Was verbally threatened or insulted Was robbed Was attacked with knife, gun or other type of weapon
2
Was verbally threatened or insulted Was robbed Was attacked with knife, gun or other type of weapon Was threatened with knife, gun or other type of weapon
1
Was verbally threatened or insulted Was robbed Was forced to labor
1
Was verbally threatened or insulted Was robbed Was kidnapped/abducted
1
Was verbally threatened or insulted Was robbed Was threatened with knife, gun or other type of weapon
4
Was verbally threatened or insulted Was robbed Was threatened with knife, gun or other type of weapon Was forced to labor
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon
62
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon
41
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Others
2
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was forced to labor
2
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was forced to labor Was kidnapped/abducted
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was forced to labor Was physically forced to have sexual intercourse Was robbed
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was forced to labor Was robbed
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was forced to labor Was robbed Was kidnapped/abducted
4
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was injured by a landmine/UXO Was forced to labor Was kidnapped/abducted
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was kidnapped/abducted
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was kidnapped/abducted Was physically forced to have sexual intercourse Was robbed
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was kidnapped/abducted Was robbed
2
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was forced to labor Was kidnapped/abducted
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was forced to labor Was robbed
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was forced to labor Was robbed Was kidnapped/abducted
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was kidnapped/abducted
2
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was kidnapped/abducted Was robbed
2
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was robbed Was kidnapped/abducted
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was robbed
19
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was robbed Was forced to labor
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was robbed Was forced to labor Was kidnapped/abducted
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was attacked with knife, gun or other type of weapon Was robbed Was kidnapped/abducted
6
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was forced to labor
3
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was injured by a landmine/UXO Was forced to labor
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was injured by a landmine/UXO Was robbed Was kidnapped/abducted
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was kidnapped/abducted
3
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was kidnapped/abducted Was attacked with knife, gun or other type of weapon
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was kidnapped/abducted Was attacked with knife, gun or other type of weapon Was physically forced to have sexual intercourse
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was kidnapped/abducted Was forced to labor
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was attacked with knife, gun or other type of weapon Was robbed Was kidnapped/abducted
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was forced to labor Was robbed Was kidnapped/abducted
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was physically forced to have sexual intercourse Was robbed
1
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was robbed
23
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was robbed Was attacked with knife, gun or other type of weapon
2
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was robbed Was kidnapped/abducted
2
Was verbally threatened or insulted Was threatened with knife, gun or other type of weapon Was robbed Was kidnapped/abducted Was attacked with knife, gun or other type of weapon
1
Was verbally threatened or insulted
3091
2545
0
1
0.245
0.43
0
2333
1
758
Sysmiss
2545
Was threatened with knife, gun or other type of weapon
3091
2545
0
1
0.211
0.408
0
2440
1
651
Sysmiss
2545
Was attacked with knife, gun or other type of weapon
3091
2545
0
1
0.128
0.335
0
2694
1
397
Sysmiss
2545
Was injured by a landmine/UXO
3091
2545
0
1
0.00906
0.0948
0
3063
1
28
Sysmiss
2545
Was physically forced to have sexual intercourse
3091
2545
0
1
0.0194
0.138
0
3031
1
60
Sysmiss
2545
Was forced to labor
3091
2545
0
1
0.0359
0.186
0
2980
1
111
Sysmiss
2545
Was robbed
3091
2545
0
1
0.17
0.376
0
2566
1
525
Sysmiss
2545
Was kidnapped/abducted
3091
2545
0
1
0.0443
0.206
0
2954
1
137
Sysmiss
2545
Others
3091
2545
0
1
0.0294
0.169
0
3000
1
91
Sysmiss
2545
No
3091
2545
0
1
0.51
0.5
0
1515
1
1576
Sysmiss
2545
I don’t know
3091
2545
0
1
0.0133
0.114
0
3050
1
41
Sysmiss
2545
Other violence: specify
88
0
All people ran and our families were attacked
1
Alot of thefty in the community
1
Animals from host community always destroyed the little crops planted.
1
Bitten by robbers
1
Bunt their houses and they quit
1
Burning our houses
1
Burnt our houses
2
Came earlier
1
Chased from the forest from collecting firewood
1
Chasing her from her home
1
Cheated by host on renting land and tricked by host individuals
1
Death
3
Death of 3 family members
1
Experienced thefty of his chicken and solar panel
1
Fear
1
Fear of death, destruction or injury
1
Fear of loss of life
2
HUSBAND
1
Had no relatives in Burundi, they all died in the war
1
Harassment by health workers
1
Health care and food shortage
1
1
1
Her chicken were stolen and the issue wasn't addressed in any way
1
Her crops was damaged by host community
1
Her money was stolen
1
Her property was stolen
1
Her relatives were killed .
1
House burnt
1
Houses got burnt
1
Houses were burnt
2
1
I was born in uganda
1
Killed a relative
1
Killed her relatives
1
Killing people and burning houses
1
Leadership wars and misunderstanding in the village
1
Lost a loved one
1
Lost family members
1
Lost loved ones
1
Lost people
1
Lost two goats this year they were stolen
1
Luck of Money
1
Movement to market was allowed
1
My daughter was raped
1
My relatives were killed
1
No shelter
1
Our house was burnt
1
Our houses were burnt
1
Our huts were burnt
1
Our parents were killed
1
Properties looted and houses burnt
1
Property was stolen
1
Rebels killed our relatives and burnt our houses
1
Refused to give one of the children a card
1
Relatives killed
1
Scared by the gun shots sound and terror
1
Schools were closed hence no salaries paid to those in private schools
1
1
1
She was bitten because of tribalism by keliko tribe of South sudan here in Omugo settlement
1
Shoot by a bullet
1
Shoot on the leg
1
Stolen goat
1
Stolen her property when she was away
1
Stolen property by unknown people
1
Stopped from cutting grass by the host communittee
1
Suffered from effects of the war
1
The brothers of Jerome were killed
1
1
Thefty of her property
1
They Killed her relatives
1
They Killed the relatives and she ran away
1
They burnt our houses and killed our relatives
1
They killed her relatives
1
They were beaten by the rebels
1
Thieves attacking his home stealing his livestock
1
Threatening messages
1
Trauma from watching people being killed
1
Was poisoned
1
Witchcraft
2
our houses were burnt
1
k5. How do you feel about the situation and the future of your household?
3133
0
Frequently feeling negative
562
Hopeless
611
Neither positive nor negative
663
Optimistic
548
Prefer not to answer
40
Somewhat optimistic
709
5636
0
1000003
9001293
3653627.96
3044744.7
4507
0
-1
18
Beehive
20
Cattle_LOCAL_BREED
455
Cattle_cross_breed
43
Chicken_CROSS_BREED
84
Chicken_LOCAL_BREED
1802
Donkey
1
Goat_CROSS_BREED
61
Goat_LOCAL_BREED
1305
Pig_CROSS_BREED
51
Pig_LOCAL_BREED
400
Rabbit
84
Sheep_CROSS_BREED
9
Sheep_LOCAL_BREED
174
4489
0
Beehive
20
Cattle (cross breed)
43
Cattle (local breed)
455
84
Chicken (local breed)
1802
Donkey
1
61
Goat (local breed)
1305
51
Pig (local breed)
400
Rabbit
84
9
Sheep (local breed)
174
4507
1129
0
30000
14.655
447.178
4507
1129
0
80000
45.6
1749.481
1036
4600
0
14500000
440336.5
1140353.005
1029
0
Native households
283
Native households Other (specify)
1
Native households Other refugee households
11
Native households Traders
21
Native households Traders Other (specify)
1
Native households Traders Other refugee households
1
Other (specify)
23
Other (specify) Native households
1
Other refugee households
102
Other refugee households Native households
14
Other refugee households Native households Traders
3
Other refugee households Other (specify)
1
Other refugee households Traders
8
Traders
535
Traders Native households
20
Traders Native households Other refugee households
1
Traders Other refugee households
2
Traders Other refugee households Other (specify)
1
1029
4607
0
1
0.14
0.347
0
885
1
144
Sysmiss
4607
1029
4607
0
1
0.347
0.476
0
672
1
357
Sysmiss
4607
1029
4607
0
1
0.576
0.494
0
436
1
593
Sysmiss
4607
1029
4607
0
1
0.0272
0.163
0
1001
1
28
Sysmiss
4607
28
0
Did not sell
1
Didn't sell
1
Didnt sell
1
Died
1
1
Intenerant traders
1
Intinerant traders
1
Itinerant traders
6
LWF
1
Lira Town
1
NGO staff
1
None
7
Other contractor persons
1
Paid in kind to police
1
Sudan
1
United Nations worker
1
Visitor
1
144
5492
2
100
81.319
28.912
357
5279
3
100
85.849
25.5
593
5043
0
100
84.894
27.605
28
5608
0
100
45.357
44.761
1009
0
Closest town
62
Closest town Here
3
Closest town Neighbouring village
2
Closest town Neighbouring village Here
1
Closest town Trade centres
7
Closest town Trade centres Itinerant trader
1
Here
368
Here Closest town
2
Here Closest town Neighbouring village
2
Here Closest town Trade centres Itinerant trader
1
Here Itinerant trader
1
Here Itinerant trader Neighbouring village
1
Here Neighbouring village
18
Here Neighbouring village Closest town
1
Here Neighbouring village Trade centres
4
Here Neighbouring village Trade centres Itinerant trader
1
Here Trade centres
15
Here Trade centres Neighbouring village
1
Itinerant trader
94
Itinerant trader Here
1
Itinerant trader Trade centres
1
Neighbouring village
93
Neighbouring village Closest town
2
Neighbouring village Here
4
Neighbouring village Here Trade centres
1
Neighbouring village Itinerant trader
1
Neighbouring village Trade centres
4
Other
6
Trade centres
280
Trade centres Closest town
2
Trade centres Closest town Neighbouring village Here
1
Trade centres Here
13
Trade centres Itinerant trader
8
Trade centres Itinerant trader Neighbouring village
1
Trade centres Neighbouring village
6
1009
4627
0
1
0.435
0.496
0
570
1
439
Sysmiss
4627
1009
4627
0
1
0.143
0.35
0
865
1
144
Sysmiss
4627
1009
4627
0
1
0.0862
0.281
0
922
1
87
Sysmiss
4627
1009
4627
0
1
0.344
0.475
0
662
1
347
Sysmiss
4627
1009
4627
0
1
0.11
0.313
0
898
1
111
Sysmiss
4627
1009
4627
0
1
0.00595
0.0769
0
1003
1
6
Sysmiss
4627
6
0
Lira Town
2
Livestock Market
2
Market
2
4507
1129
0
300000
99.46
4812.424
5636
0
1
6029
3039.872
1751.141
884
4752
1
18
1.436
1.48
1
673
2
166
3
23
4
5
5
3
6
2
7
2
8
1
10
1
11
1
12
1
13
1
14
1
15
1
16
1
17
1
18
1
Sysmiss
4752
884
0
Cow milk
164
Eggs
483
Goat milk
9
Meat
175
Other (specify)
51
Skins and hides
2
51
0
0
1
Chicken
1
Cow dung
1
Cowdug
1
Goat manure
1
Honey
3
Manure
5
None
38
884
4752
0
800000
2622.176
33033.304
126
0
Glass of milk (250 ml)
1
Jerrycan (20 litres)
4
Kilogram
20
Litre
48
Number
53
126
5510
0
2600000
143742.183
345454.053
126
5510
0
31200000
1165820.635
3402338.234
126
0
Native households
55
Native households Other refugee households
7
Native households Traders
10
Other (specify)
7
Other refugee households
8
Other refugee households Native households
5
Other refugee households Native households Traders
1
Other refugee households Traders
2
Other refugee households Traders Native households
1
Traders
21
Traders Native households
7
Traders Other refugee households
2
126
5510
0
1
0.206
0.406
0
100
1
26
Sysmiss
5510
126
5510
0
1
0.683
0.467
0
40
1
86
Sysmiss
5510
126
5510
0
1
0.349
0.479
0
82
1
44
Sysmiss
5510
126
5510
0
1
0.0556
0.23
0
119
1
7
Sysmiss
5510
7
0
Itinerant traders
1
Own use
1
Person looking after them
3
To person looking after them
1
We leave it to the workers as form of their payment
1
26
5610
5
100
55.962
28.776
86
5550
10
100
76.686
29.422
44
5592
20
100
70.341
27.878
7
5629
80
100
97.143
7.559
80
1
100
6
Sysmiss
5629
126
0
Closest town
1
Closest town Trade centres
1
Here
54
Here Neighbouring village
7
Here Neighbouring village Closest town Trade centres
1
Here Neighbouring village Closest town Trade centres Itinerant trader
1
Here Neighbouring village Trade centres
1
Here Trade centres
8
Itinerant trader
4
Itinerant trader Here
1
Itinerant trader Trade centres
1
Neighbouring village
18
Neighbouring village Closest town
1
Neighbouring village Closest town Here
1
Neighbouring village Here Trade centres
1
Neighbouring village Here Trade centres Itinerant trader
1
Neighbouring village Trade centres
1
Trade centres
19
Trade centres Here
3
Trade centres Neighbouring village
1
126
5510
0
1
0.627
0.486
0
47
1
79
Sysmiss
5510
126
5510
0
1
0.27
0.446
0
92
1
34
Sysmiss
5510
126
5510
0
1
0.0476
0.214
0
120
1
6
Sysmiss
5510
126
5510
0
1
0.31
0.464
0
87
1
39
Sysmiss
5510
126
5510
0
1
0.0635
0.245
0
118
1
8
Sysmiss
5510
126
5510
0
0
0
0
0
126
Sysmiss
5510
N18. Have you or any member of your household been involved in any fishing activ
5636
0
No
5472
Yes
164
N19. How much fish in KG have you sold during the last 12 months?
164
5472
0
1200000
22287.463
133631.559
N20. What was the total value earned from the fish sold?
137
5499
0
21000000
1278354.307
2614150.254
N21. To whom did you sell the fish?
137
0
Native households
9
Native households Other refugee households
12
Native households Other refugee households Traders
5
Native households Traders
7
Other (specify)
2
Other refugee households
9
Other refugee households Native households
10
Other refugee households Native households Traders
12
Other refugee households Traders
1
Other refugee households Traders Native households
1
Traders
52
Traders Native households
2
Traders Native households Other refugee households
3
Traders Other refugee households
6
Traders Other refugee households Native households
6
N21. To whom did you sell the fish?/Other refugee households
137
5499
0
1
0.474
0.501
0
72
1
65
Sysmiss
5499
N21. To whom did you sell the fish?/Native households
137
5499
0
1
0.489
0.502
0
70
1
67
Sysmiss
5499
N21. To whom did you sell the fish?/Traders
137
5499
0
1
0.693
0.463
0
42
1
95
Sysmiss
5499
N21. To whom did you sell the fish?/Other (specify)
137
5499
0
1
0.0146
0.12
0
135
1
2
Sysmiss
5499
Specify other:61
2
0
Did not sell fish for home consumption
1
Used for home consumption
1
What percentage of fish did you sell to [other refugee households]?
65
5571
5
100
42.231
26.934
What percentage of fish did you sell to [native households]?
67
5569
10
100
50.328
24.466
What percentage of fish did you sell to [traders]?
95
5541
10
100
77.137
28.201
What percentage of fish did you sell to ${n21other}?
2
5634
0
100
50
70.711
N22. Where did you sell most of fish?
137
0
Closest town
3
Closest town Trade centres
1
Here
60
Here Closest town
2
Here Closest town Trade centres
1
Here Neighbouring village
1
Here Neighbouring village Closest town
1
Here Neighbouring village Trade centres
4
Here Trade centres
10
Here Trade centres Neighbouring village
2
Itinerant trader
1
Neighbouring village
7
Neighbouring village Closest town
1
Neighbouring village Here
1
Neighbouring village Trade centres
2
Neighbouring village Trade centres Here
1
Other
10
Trade centres
24
Trade centres Here
4
Trade centres Neighbouring village
1
N22. Where did you sell most of fish?/Here
137
5499
0
1
0.635
0.483
0
50
1
87
Sysmiss
5499
N22. Where did you sell most of fish?/Neighbouring village
137
5499
0
1
0.153
0.362
0
116
1
21
Sysmiss
5499
N22. Where did you sell most of fish?/Closest town
137
5499
0
1
0.0657
0.249
0
128
1
9
Sysmiss
5499
N22. Where did you sell most of fish?/Trade centres
137
5499
0
1
0.365
0.483
0
87
1
50
Sysmiss
5499
N22. Where did you sell most of fish?/Itinerant trader
137
5499
0
1
0.0073
0.0854
0
136
1
1
Sysmiss
5499
N22. Where did you sell most of fish?/Other
137
5499
0
1
0.073
0.261
0
127
1
10
Sysmiss
5499
Specify other:62
10
0
In Toroko Kakyakumwe
1
Landing site
7
Ndri ndri market
1
None
1
N25. What challenges did you face in undertaking fishing activities?
164
0
Distance to market
32
Inappropriate tools
82
Infrastructure for processing
9
None
14
Other (specify)
27
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
S1. Compared with one year ago, has your relationship with other groups in your
5636
0
1
7
1
Don't know
49
2
Improved a little
2032
3
Improved a lot
2262
4
Refuse to answer
32
5
Significantly worsened
10
6
Stayed the same
1137
7
Worsened
114
S2. How would you describe your current relationship with other groups in your c
5636
0
1
7
1
Bad
93
2
Don't know
22
3
Good
3246
4
Neither good nor bad
686
5
Refuse to answer
7
6
Very bad
14
7
Very good
1568
S3. How often do you interact (work, personal life, family, friends, etc.) with
5636
0
1
7
1
Don't know
11
2
Never
15
3
Occasionally
1028
4
Often
3023
5
Rarely
148
6
Refuse to answer
3
7
Very often
1408
S4.In general, how comfortable are you with interacting with other groups
5636
0
1
7
1
A lot
2884
2
Don't know
10
3
Extremely comfortable
1100
4
Little
200
5
Moderately
1409
6
Not at all
30
7
Refuse to answer
3
S5. How often do you interact with refugee/Ugandan businesses or vendors in your
5636
0
1
7
1
Don't know
20
2
Never
46
3
Occasionally
1371
4
Often
2766
5
Rarely
154
6
Refuse to answer
5
7
Very often
1274
S6. If answered rarely or never, please state the reason why
200
5436
1
178
1
Always at home
1
2
Always at home
1
3
Always busy with farming
1
4
Always home
1
5
Am always at home
1
6
1
7
Am always at home, do not go to centers
1
8
Am ever home due to sickness
1
9
Am not a business man
1
10
BECAUSE I DON'T CONDUCT ANY BUSINESS IN THIS COMMUNITY
1
11
1
12
Because I don't understand them
1
13
Because Refugees are thieves they steal their livestock and
1
14
Because am a casualty I do rarely move around
1
15
Because he rarely walks around the village
1
16
Because it must doesn't make sense for them to do so
1
17
Because she only does so once in a while to ask for food
1
18
Because she only interacts with them inorder to get food
1
19
Because the organisations assistants both the refugees and h
1
20
Because the refugee settlement is far away from his locality
1
21
Because the refugees are thieves because they stole Abalo's
1
22
Because the refugees come and steal the hosts crops and anim
1
23
Bewitching
0
24
Busy
2
25
Busy with farm work
1
26
Can hardly move
1
27
Committed
1
28
Depend on children for help thus buys less
1
29
Don't have access to them
1
30
Don't have money to interact with them
1
31
Don't have money to interact with them
1
32
Don't know them
1
33
Don't normally move around so much to meet them
1
34
Engaged.
1
35
Fear them just
1
36
Go to the shops rarely
1
37
HE IS ALWAYS BUSY LOOKING FOR WHAT TO DO
1
38
Has little money to transact all the time
1
39
Has never done business
1
40
Has no any buziness
1
41
Has no business
2
42
Has no hopes for business
1
43
Has no hopes of starting a business
1
44
Has no hopes of starting the business
1
45
Hasnt thought about it
1
46
Have nothing or very little to buy and sell to them
1
47
He can never walk away from his room because of his elderly
1
48
He is physically challenged and struggles to feed the family
1
49
He was sick mentally disturbed at something people presume h
1
50
Host communities are arrogant and insult the refugees as ign
1
51
I always dont have money to gobto thier business
1
52
I am old I cannot move far
1
53
I do not have any connections to business owners
1
54
1
55
I do not move to the camps often
1
56
1
57
I don't go to shops
1
58
I don't go to the camps
1
59
I donot see them
1
60
I dont see them
2
61
I miss home
1
62
1
63
I rarely go to buy items from vendors or business people
1
64
I rarely move out of my home
1
65
1
66
1
67
Its because if he want to buy something from them they charg
1
68
Just not comfortable
1
69
Language Barrier
1
70
Language Barriers
1
71
Language barrier for refugees is a problem
1
72
Language issue
1
73
Language problem
1
74
Me i stay here and bet things here
1
75
Most times at home
1
76
Mostly at home
1
77
Never seen them
1
78
1
79
No any connection with traders
1
80
No business
1
81
No capital to start abuziness
1
82
No hopes of starting a buziness
1
83
No money
1
84
No money to go to shops
1
85
No money to use for interraction
1
86
No much to buy from Ugandans
1
87
No need to
1
88
No reason
1
89
1
90
No reason to
2
91
No reason to because they are not involved in any business
1
92
No reason to do so
14
93
No reason to interact with them
1
94
No reason to so
1
95
1
96
Nonessential to interaact
1
97
Not cooperative
1
98
Not hospitable
1
99
Not interested
1
100
Not much to discuss with them
1
101
Not see them
2
102
Not seen
1
103
Not seen them
3
104
Not ssen them
1
105
Not trustworthy
1
106
Not unless they are getting food
1
107
Nothi global about
1
108
O Nothing wrong
1
109
Only Refugees because are only ones near
1
110
Only approaches them to get loans
1
111
Only interacts with them in order to get loans
1
112
Only interacts with them to get food
1
113
Only to ask for loans
2
114
Only when I have gone to buy anything
1
115
Only when getting a loan
1
116
Only when getting food
1
117
1
118
Poverty
1
119
Private person
1
120
Production and sale of harvest are done once in four to six
1
121
Rarely go to business centres
1
122
Rarely go to shops
1
123
Rarely go to the shops
2
124
Rarely have money to go to them
1
125
Rarely see them
1
126
Rarely sees these people
1
127
Rearely have money to go there
1
128
Refugees because I don't know their language
1
129
Refugees have had a tendency of stealing their food from the
1
130
Refugees steal their crops
1
131
Religious differences
1
132
Respondent is sick
1
133
Respondent says hasn't benefited much from others
1
134
She doesn't move from her house
1
135
She has almost nomoney that takes her to the business peope
1
136
She has no hopes of starting a business
1
137
She has nothing to say to them
1
138
She has nothing to sell to business men
1
139
She hasnt seen any
1
140
She hasnt seen any.
1
141
1
142
She only interacts withher employer
1
143
She talks to them to ask for food
1
144
She's ever at her home can nolonger move out of the house to
1
145
Social issues with other refugees who don't want Manvier to
1
146
Some are refugees and language is hard to use
1
147
The household is not directly involved in any business apart
1
148
The neighbours are very segregative
1
149
The refugees are hostile
1
150
There are some difficulties like Corona,Transport and lack o
1
151
There is no clear solution given for complaints made to auth
1
152
There is no reason to
1
153
There is no reason to do so
2
154
There is nothing to talk about
1
155
They are far from the community almost at the end of the wor
1
156
They are far in bukere
1
157
They are far way from us
1
158
They are not close to the settlement
1
159
They are not friendly
0
160
They are really far from the surrounding its like the end of
1
161
They are thieves
1
162
They behave badly
1
163
They don't find what to buy whenever they come
1
164
They don't know any of them personally
1
165
They don't move here regularly
1
166
They don't normally come out from the camp
1
167
1
168
Too busy at his farm
1
169
Too old cant move frequently
1
170
Too old to reach the Neighbours
1
171
Tribal differences
1
172
Un able to move long distances
1
173
We are not allowed to move to the settlement easily
1
174
We dont stay close to the settlement
1
175
We rarely go to the host community
1
176
We're always busy
1
177
Witchcraft
2
178
very far away can't even see much people its like the end of
1
Sysmiss
5436
S7. In general, how much do you trust other groups (Ugandans/Refugees)?
5636
0
1
6
1
A lot
1713
2
Don't know
23
3
Little
758
4
Moderately
2980
5
Not at all
147
6
Refuse to answer
15
5636
0
1
6
1
A little
2111
2
A lot
2947
3
Don't know
21
4
Not at all
85
5
Not much
469
6
Refuse to answer
3
28688
0
No
27927
Yes
761
761
0
Agriculture, Hunting and Forestry
323
Artisan/craftsperson (e.g. basket weaving, pottery and wood carver)
2
Construction (e.g. roads)
35
Education/ Licensed teacher
80
Energy: Electricity, Gas, and Water Supply, cooking stoves, etc
5
Extra-Territorial Organisations and Bodies
4
Financial Intermediation
3
Fishing
4
Health/ Licensed medical professional
30
Hotels and Restaurants (Baker, chef, cook)
16
Manufacturing/Factory wage labour
5
Middlemen
4
Mining and Quarrying
4
Not Applicable
10
Other (Specify)
83
Other Community health worker, Social work and Personal Service Activities
74
Private Households with Employed Persons
6
Public Administration and Defence; Compulsory Social Security
32
Sale, Maintenance, and Repair, Of Motor Vehicles, Motorcycles And Personal And Household Goods
16
Transport, Storage and Communications
25
761
27927
0
60000000
1523821.292
3393929.123
761
27927
0
4800000
164777.265
329434.658
761
0
Don't know
20
Not relevant at all
86
Refuse to answer
1
Very little relevant
53
Yes, essential
283
Yes, somewhat relevant
129
Yes, very relevant
189
761
0
Closest town
93
Here
344
Neighbouring village
232
Other
52
Trade centres
40
28688
0
No
25999
Yes
2689
2689
0
Agriculture, Hunting and Forestry
2271
Artisan/craftsperson (e.g. basket weaving, pottery and wood carver)
14
Construction (e.g. roads)
110
Education/ Licensed teacher
6
Energy: Electricity, Gas, and Water Supply, cooking stoves, etc
2
Extra-Territorial Organisations and Bodies
1
Financial Intermediation
2
Fishing
22
Health/ Licensed medical professional
1
Hotels and Restaurants (Baker, chef, cook)
22
Manufacturing/Factory wage labour
7
Middlemen
9
Mining and Quarrying
21
Not Applicable
12
Other (Specify)
109
Other Community health worker, Social work and Personal Service Activities
13
Private Households with Employed Persons
8
Public Administration and Defence; Compulsory Social Security
6
Real Estate, Renting and Business Activities
1
Sale, Maintenance, and Repair, Of Motor Vehicles, Motorcycles And Personal And Household Goods
11
Transport, Storage and Communications
34
Welder/metal work
7
2689
25999
0
18000000
359431.145
701163.589
2689
25999
0
3456000
39004.713
103314.242
2689
0
Closest town
84
Here
1216
Neighbouring village
1261
Other
39
Trade centres
89
14719
0
No
13284
yes
1435
1433
0
Agricultural worker
167
Farmer
655
Non-agricultural worker
176
Non-farm self employmnet
196
Other (Specify)
239
239
0
A Saloonist
1
A Teacher
1
A business man
1
1
A teacher
1
Alcohol Distiler
1
An instructor of tailoring
1
Artist
1
1
As a subcounty chief
1
As ahealthy worker
1
Askari
1
At a UN agency, FAO
1
Bicyle repairer
1
Birth attendant
1
Boda boda
1
Boda boda rider
2
Boda rider
1
Bodaboda
1
Bodaboda cyclist
1
Bodaoda cyclist
1
Botique
1
Boutique
3
Brewing
1
Brick making
1
Builder
2
Building
1
Business
14
Business man
2
Business woman
1
Businessman
1
Butcher owner
1
Care giver
1
Care taker
1
Carpenter
1
Carpentery
1
Casual labourer
2
Cattle keeper
2
Civil service
1
Cleaner
2
Cleaning Markets
1
Clothing store
1
Coffee trader
1
Construction
5
Cutting trees
1
Dealing in sorghum business
1
Doctor
2
Don't know
1
Driver
8
Education (teacher)
1
Electrician
1
Enumerator
1
Executive chief in SSD( South Sudan)
1
Fish monger
2
Fishermonger
1
Fishing
8
Fishmonger
2
Food stall
1
Food stall business
1
Gospel preacher
1
Grazing
1
HEALTH CLINIC
1
Hawker
1
He owned a retail shop
1
1
Health Centre as a health worker
1
Hotel Casual worker
1
Hotel and Bar
1
Hotel and Restaurant
1
Hotel cleaner
1
Hotels and Restaurant
1
House construction
1
House girl
1
Humanitarian
1
Lab technician
1
Mechanic
3
Mechanics
1
1
Motor bikes mechanic
1
Motor cyclist( boda boda)
1
Nurse
2
Office manager
1
Owned a food stall
1
Pastor of an adventist church
1
Pastoralist
1
Pastrolist
1
Petty Trade
1
Petty business
3
Petty business selling charcoal
1
Petty trade
2
Photography
1
Police officer
1
Primary School Teacher
1
Primary school teacher
2
Primary teacher
1
Produce business
1
Produce seller
1
Quarrying
1
Radiography
1
Restaurant
3
Restaurant business
1
1
Retail business
1
Retail shop
2
Salesman
1
Salon business
1
Salon lady
2
Saloon and beautique
1
1
Security guard
1
Security guard of a secondry school
1
1
1
Selling clothes
1
Selling cooking oil
2
Selling food items
1
Selling in a shop
1
Selling palm oil
1
Selling waragi
1
She had saloon bussines
1
She owned a resturant.
1
She was a cook
1
Shop
1
Shop business
1
Shop keeping
1
Shop selling
1
Small Shop
1
Small scale trader
1
Soldier
4
Sorghum dealer
1
Store keeper
1
Studying
1
Tailor
2
Tailoring, bodaBoda
1
Tally clerk
1
Taxi driver
1
Teacher
17
Teaching
8
Timber dealer
1
Trade
1
Trader
3
Trading
2
Trading in food items
1
Trading sorghum
1
Trainer at a college
1
1
Truck Driver
1
VHT
2
Volunteering with NGOs
1
Waitress
1
Was involved in fishing
1
Was selling clothes
1
Worked at VHT
1
Working in the market
1
1428
0
casual labourer
851
waged labourer
577
1435
0
Agriculture, Hunting and Forestry
824
Artisan/craftsperson (e.g. basket weaving, pottery and wood carver)
15
Construction (e.g. roads)
37
Education/ Licensed teacher
71
Energy: Electricity, Gas, and Water Supply, cooking stoves, etc
6
Extra-Territorial Organisations and Bodies
3
Financial Intermediation
4
Fishing
48
Health/ Licensed medical professional
22
Hotels and Restaurants (Baker, chef, cook)
48
Manufacturing/Factory wage labour
23
Middlemen
3
Mining and Quarrying
3
Not Applicable
36
Other (Specify)
127
Other Community health worker, Social work and Personal Service Activities
28
Private Households with Employed Persons
8
Public Administration and Defence; Compulsory Social Security
40
Real Estate, Renting and Business Activities
25
Sale, Maintenance, and Repair, Of Motor Vehicles, Motorcycles And Personal And Household Goods
34
Transport, Storage and Communications
28
Welder/metal work
2
79
0
No
71
Yes
8
8
0
Verbal
4
Written
4
79
0
No
76
Yes- business
3
79
0
No response
12
Paid sick leave
5
Private health insurance
4
other
58
58
0
Casual worker
1
Non
1
None
33
None of any kind
17
Nothing
1
Nothing is provided
1
Provision for lunch and breakfast at work
1
Quieted work for personnel work
1
Self leave
1
Weeding for someone in the garden for once in while
1
28688
0
1
36439
18278.578
10529.183
28688
0
238350099
250704838
242674216.087
3061314.355
28688
0
unique HH panel ID
5636
0
1000003
9001293
3653627.96
3044744.7
Unique HH id follow up survey
5636
0
1
6029
3039.872
1751.141
X2. Have the members of your household received {ASSISTANCE TYPE} during the las
5585
0
Cash assistance
1294
Cash assistance Cash for work
6
Cash assistance Cash for work Livestock
1
Cash assistance Cash for work Relief food/food aid
1
Cash assistance Livestock
1
Cash assistance None
2
Cash assistance Relief food/food aid
81
Cash assistance Relief food/food aid Food for work
1
Cash assistance Relief food/food aid Livestock
2
Cash assistance Relief food/food aid Seeds and tools
2
Cash assistance Seeds and tools
57
Cash for work
14
Cash for work Relief food/food aid
4
Cash for work Relief food/food aid Food for work
2
Cash for work Relief food/food aid Seeds and tools
1
Cash for work Seeds and tools
1
Food for work
22
Food for work Cash assistance
1
Food for work Cash for work
2
Food for work Relief food/food aid
2
Food for work Relief food/food aid Seeds and tools
1
Food for work Seeds and tools
1
Livestock
29
Livestock Cash assistance
1
Livestock None
1
Livestock Relief food/food aid
3
Livestock Seeds and tools Cash assistance
1
None
2255
None Cash assistance
1
Pension
2
Relief food/food aid
1401
Relief food/food aid Cash assistance
38
Relief food/food aid Cash assistance Livestock
1
Relief food/food aid Cash for work
10
Relief food/food aid Food for work
1
Relief food/food aid Livestock
12
Relief food/food aid None
1
Relief food/food aid Seeds and tools
48
Relief food/food aid Seeds and tools Cash assistance
2
Relief food/food aid Seeds and tools Livestock
3
Seeds and tools
249
Seeds and tools Cash assistance
5
Seeds and tools Cash for work
2
Seeds and tools Livestock
5
Seeds and tools Livestock Cash for work
2
Seeds and tools Relief food/food aid
13
X2. Have the members of your household received {ASSISTANCE TYPE} during the las
5585
51
0
1
0.268
0.443
0
4087
1
1498
Sysmiss
51
X2. Have the members of your household received {ASSISTANCE TYPE} during the las
5585
51
0
1
0.00824
0.0904
0
5539
1
46
Sysmiss
51
X2. Have the members of your household received {ASSISTANCE TYPE} during the las
5585
51
0
1
0.292
0.455
0
3955
1
1630
Sysmiss
51
X2. Have the members of your household received {ASSISTANCE TYPE} during the las
5585
51
0
1
0.00591
0.0766
0
5552
1
33
Sysmiss
51
X2. Have the members of your household received {ASSISTANCE TYPE} during the las
5585
51
0
1
0.0704
0.256
0
5192
1
393
Sysmiss
51
X2. Have the members of your household received {ASSISTANCE TYPE} during the las
5585
51
0
1
0.0111
0.105
0
5523
1
62
Sysmiss
51
X2. Have the members of your household received {ASSISTANCE TYPE} during the las
5585
51
0
1
0.000358
0.0189
0
5583
1
2
Sysmiss
51
X2. Have the members of your household received {ASSISTANCE TYPE} during the las
5585
51
0
1
0.405
0.491
0
3325
1
2260
Sysmiss
51
X3a. What is the total amount of {Cash assistance} received in total in the last
1498
4138
0
28080000
1342430.902
1972056.976
x3b. How have you mainly spent the cash assistance?
1498
0
Agricultural inputs and assets
18
Education
6
Food
1425
Health
49
Specify other:
4
0
Camp
1
Farm institute calked Umba
1
Kitugum Town
1
Umba
1
X4_1. What is the total amount of {Cash assistance} received in total in the las
1498
4138
0
4000000
129425.641
206795.109
X5_1. Who provided the {Cash assistance} received?
1498
0
Government of Uganda
13
NGOs
203
Other specify
45
UN (FAO, WFP, UNHCR, ILO)
1237
Specify other provider:
45
0
, WFP
1
ADRA and WFP
1
Catholic Church
1
Children
1
DRC GOVERNMENT
1
Danish Refugees Council
1
Doctor DP
1
Esapace group
1
Givedirect
2
He is funded by his family
1
Hunger fighters uganda
1
1
NRC
1
NUSAF
1
Natives
1
Neighbours
1
OPM
4
Post
3
Post 3
1
Post bank
15
Relatives
2
Relatives abroad
1
World vision
1
Yoleng group
1
X6_1. If you remember, could you specify the name of the institutions that provi
1498
0
0
1
1
1
ADDRA
2
ADDRA,WFP
1
ADRA
37
ADRA ,WFP
1
ADRA UGANDA
15
ADRA UGANDA and WFP
1
ADRA Uganda
3
ADRA,UN
1
ADRA,post bank, equity bank
1
AFI
49
AFI ( Andre Food International).
1
AFI AND WFP
1
AFI And DRC
1
AFORD
12
AFi
1
AHHA
1
ARC
1
AVIS
4
AVSI
1
1
Adra
18
Adra uganda
1
Aford
14
1
Andre Food International ( AFI).
1
Andre Food International, World Vision Uganda
1
Andre Food International.
1
Andre Foods International
3
By AFI
1
CESVI
1
CSV
1
Children
1
DCA
7
DRC
55
1
DRC and World Vision
1
DRC,save the children
1
Danish Refugee Council
11
Danish Refugee council
1
Doctor Deep
2
Doctor deep
1
Doctor dip
1
Don't know
2
Dr. Dp
1
Dr.Congo government
1
Drc
1
Drc unhcr
1
Drc, adra, wfp
1
Emyooga from Government of Uganda
1
Eqiuty
1
Esapace group
1
FAO
1
FAO, OPM
1
FCA
1
Family
1
Fin Church Aid
1
GOU
1
GOVERNMENT OF UGANDA
1
Givedirect
2
Government
1
Government of Uganda
1
Government of uganda
1
Government of uganda money for the elderly
1
HFU
2
Hanger fighters uganda
1
Huger Fighters Uganda
1
Humanity and inclusion organisations
1
Hunger Fighter
1
Hunger Fighter Uganda
2
Hunger Fighters Uganda
6
Hunger Fighters uganda
1
Hunger fighter
2
Hunger fighter Uganda
4
Hunger fighter Uganda (HFU)
1
Hunger fighters
13
Hunger fighters Uganda
2
Hunger fighters uganda
7
ITP
1
KFM kiryandongo Radio
1
My Husband
1
NRC
2
NRC and WFP
1
NUSAF
1
Night organisation
1
No
1
O
1
OPM
3
OXFAM
1
Obiyu Catholic Church
1
Olatte Martin
1
Opm
2
Oxfam
4
PAM,ADRA ,WFP,UN
1
PTO
1
Pikot
1
Post
3
Post bank
54
Post bank kawaida
1
Red Cross, DRC, ECO
1
Relatives
1
SAGE
1
1
Save The Children
1
Save the Chidren
1
Save the Children
6
Save the Children , AFO
1
Save the children
2
UHNCR
1
UN
21
1
1
1
1
2
UN ,ADRA
4
UN ,ADRA, WFP
1
1
4
8
11
UN, ADRA
9
UN,ADRA
9
UN,ADRA AND WFP
1
UN,ADRA, WFP
1
UN,ADRA,WFP
1
UN,WFP
1
UN. ADRA
1
UNCHR
1
UNHC
1
UNHCR
219
UNICEF
1
USAID
1
Uganda refugees Dutch Council
1
Un
33
Un, ADRA
1
Un,ADRA
1
Un,WFP,ADRA
1
Unhcr
45
1
Unhcr drc
2
Unhcr, drc
1
United nations
6
VTC
1
WFB
1
WFP
413
WFP AND AFI
1
WFP AND HUNGER FIGHTERS UGANDA
1
WFP through equity bank
1
WFP via equity bank
2
WFP, DRC
1
WFP, HUNGER FIGHTERS UGANDA
1
WFP, NRC
2
WFP,ADRA
6
WFT
1
Wealth Hunger
1
Wfp
39
Wor,d food program
1
Word food program
1
1
World Food Program
1
World Food Programme
11
World Food programme
33
World Vision
7
World Vision and DRC
1
World Vision, LWF
1
World food
13
World food and UNHCR
1
World food probram
1
World food progam
1
World food program
51
World food program and world vision
4
World food programe
2
World food programme
3
World food progrm and world vision
1
World vision
64
World vision and world food
1
World vision and world food program
1
WorldVision
1
Worldfood program and world vision
1
Worldvision
1
Yoleng group
1
ÀDRA
1
X7_1. When did the {Cash assistance} start?
1498
4138
0
171000
2207.887
5517.123
X3_2. What is the total amount of {Cash for work} received in total in the last
46
5590
0
4000000
534217.391
804336.854
x3b. How have you mainly spent the cash for work?
46
0
Agricultural inputs and assets
1
Education
4
Food
27
Health
2
Other [specify]
12
Specify other285
12
0
Bought kitchen utensils
1
1
Clothes
1
Goat
1
No money has been given as they have just started work aweek ago
1
Oil
1
Planting trees
1
Seedling
1
Started Business
1
The payment is being processed
1
They are processing the payment
1
They are processing the payment.
1
X4_2. What is the total amount of {Cash for work} received in total in the last
46
5590
0
1560000
135007.239
332204.093
X5_2. Who provided the {Cash for work} received?
46
0
Government of Uganda
2
NGOs
22
Other specify
9
UN (FAO, WFP, UNHCR, ILO)
13
Specify other provider:286
9
0
ADRA
1
Host Community
1
Nationals
2
Neighbor
1
Neighbors
1
1
Other native households
1
WFO
1
X6_2. If you remember, could you specify the name of the institutions that provi
46
0
ACF
1
ADRA
1
1
CORE
1
Community
1
DRDIP
1
Danish Refugees Council (DRC)
1
Doctor Dip
1
Give direct
1
Host Community
1
ITULA Sub county
1
LWF
5
NURI
1
Nationals
1
Neighbor
1
Neighbors
1
Office of the Prime minister
1
Other natives
1
Palcom
1
Save the Children
1
Save the children
4
UNHCR
2
Un
2
WFO
1
WFP
2
World Food programme
2
World Vision
4
World Vision .
1
World Vision Uganda
2
World vision
2
X7_2. When did the {Cash for work} start?
46
5590
2014
2021
2019.609
2.081
2014
1
2015
4
2017
3
2018
3
2019
2
2020
8
2021
25
Sysmiss
5590
X3_3. What is the total amount of {Relief food/food aid} received in total in th
1630
4006
0
152000000
1320020.862
3942366.134
X4_3. What is the total amount of {Relief food/food aid} received in total in th
1630
4006
0
2016000
133751.727
187624.103
X5_3. Who provided the {Relief food/food aid} received?
1630
0
Government of Uganda
19
NGOs
147
Other specify
34
UN (FAO, WFP, UNHCR, ILO)
1430
Specify other provider:287
34
0
ADRA
1
AFI
1
AVI
3
CESVI
6
CESVI and UCOBAC
1
CESVI under World Food Program
1
CESVI under world Food Program
2
1
Cesvi
1
Children
1
Drc
1
His family
1
Member of Parliament
1
Mp
3
1
OPM
1
Relatives and well wishers
1
SEVI
4
WFO
3
X6_3. If you remember, could you specify the name of the institutions that provi
1630
0
0
1
100
1
321000
1
486000
1
ADRA
1
AFI
101
1
AFI AND WFP
1
AFI and WFP
1
AFOD
72
AFORD
10
AFi
1
AVI
3
AVIS
2
AVsi
1
Afi
2
Afod
45
Aford
12
African Women rising
1
Andre Food International
3
Andre Food International (AFI)
1
Andre Foods International
8
Andre Foood International ( AFI)
1
Avsi
1
1
CESVI
61
CESVI ,UNHCR
2
CESVI under World Food Program
2
CESVI under world food program
1
1
CESVI, WFO
1
CESVI,UNHCR
1
1
CSV
2
CVIE
3
Care international
1
Cesvi
1
DRC
3
Drc
1
Elderly Fund
1
FAO
5
FIA
1
Fao
1
Government of Uganda
1
Government of uganda
1
Government of uganda( OPM) after hail stone destroyed our crops
1
His family
1
Hunger Fighters Uganda
1
Hunger fighters
1
LWF
3
LWF and operation Wealth Creation
1
LWF, UNHCR
1
Local government
1
Lutheran World Federation
1
Member of Parliament
1
Merci Cops
1
Mp
3
NRM
1
NURI
1
No
1
Not able to recall
1
Not able to remember
2
Not applicable
1
OPM
11
OPM ( Office of prime minister)
1
OPM ( office of the prime minister)
2
OPM Through MPs
1
OPM, AFI
1
Office of the Prime Minister
1
Office of the prime minister
1
Olabbe Martin
1
Palcom
1
Respondent does not remember the NGO
1
SEVI
3
Save the Children
1
Sevi
1
UCOBAC
1
UCOBEC
1
UN
38
UN Bodies
1
UN organistions
1
UNCHR
1
UNCR
1
UNHC?
1
UNHCR
99
UNHCR , LWF
1
UNHCR and World food progrm
1
UNHCR distributed by AFOD
1
1
1
2
UNHCR, CESVI
1
UNHCR, WFP
2
Un
1
Unhcr
2
United Nations
2
United nations
2
WAP and AFI
1
WF0
1
WFI
2
WFO
20
WFO, CESVI
2
WFO,CESVI
1
WFP
590
1
WFP and AFI
2
WFP and UNHCR
1
WFP through SESVI
1
WFP with LWF
1
1
2
1
WFP, AF
1
WFP, AFOD
5
WFP, AFODE
29
WFP, LWF
1
WFP, OXFAM
1
WFP, UNHCR
18
WFP,AFODE
1
WFP,UNHCR
3
WHO
1
WORLD VISION
1
WPF
1
WfP
1
Wfp
29
Wor,d food program
1
Word food programme
1
1
2
1
1
1
World Food Program
4
World Food Programme
76
1
World Food Programme ,World vision UNHCR
1
1
World Food Programme, World Vision
2
World Food Programme, World Vision.
1
World Food Programme,World Vision
1
World Food program
4
World Food programme
43
World Vision
3
World Vision and LWF
1
World Vision and World Food Programme
1
World Vision, World Food Programme.
1
World food
6
1
World food and OPM
1
World food and world vision distributes food
1
World food program
41
World food program and distributed by World vision
2
World food program and distributed by world vision
1
World food program and world vision
1
World food program and world vision distributes
1
8
World food program, World vision
4
World food programme
63
World vision
50
1
World vision and UNHCR
1
World vision and world food
1
World vision and world food program
1
2
World vision, World World food program
1
World vision, World food program
1
wfp
1
X7_3. When did the {Relief food/food aid} start?
1630
4006
0
2021
2011.072
109.367
X3_4. What is the total amount of {Food for work} received in total in the last
33
5603
884
2772000
725532.848
740537.273
X4_4. What is the total amount of {Food for work} received in total in the last
33
5603
0
320000
86406.061
84228.729
X5_4. Who provided the {Food for work} received?
33
0
NGOs
5
Other specify
7
UN (FAO, WFP, UNHCR, ILO)
21
Specify other provider:288
7
0
A native Ugandan
1
Host community
1
Natives
2
Neighbours
2
SEVI
1
X6_4. If you remember, could you specify the name of the institutions that provi
33
0
0
1
Food for the hungry
1
Host Community
1
Host community
1
NIGi
1
Neighbours
2
No
1
Other natives
1
Palcom
1
Reception
1
SEVI
1
UN
3
WFP
9
WFP, AFODE
3
World Food Programme
1
World Food programme
1
1
World food program
1
World vision
2
X7_4. When did the {Food for work} start?
33
5603
2013
2021
2017.394
2.03
2013
1
2014
1
2015
3
2016
6
2017
9
2018
3
2019
4
2020
3
2021
3
Sysmiss
5603
X3_5. What is the total amount of {Seeds and tools (in-kind or vouchers)} receiv
393
5243
0
2668000000
6853987.71
134579631.19
X4_5. What is the total amount of {Seeds and tools (in-kind or vouchers)} receiv
393
5243
0
28600000000000
72773543121.636
1442679158478.35
X5_5. Who provided the {Seeds and tools (in-kind or vouchers)} received?
393
0
Government of Uganda
109
NGOs
201
Other specify
11
UN (FAO, WFP, UNHCR, ILO)
72
Specify other provider:289
11
0
Action Against Hunber
1
Area Mp Zumura Maneno
1
Dont know
1
Good samaritan
1
NURI
2
Northern Uganda Rural initiatives
1
Red Cross
1
Red cross
1
Redcross
1
The fora
1
X6_5. If you remember, could you specify the name of the institutions that provi
393
0
1
2021
1
40000
1
ADRA
2
AFOD
1
Acav
1
Action Against Hunger
3
Action Aganist Hunger
1
Action against hunger
7
Africa self help
1
Africa woman Rising
1
African Women Rising
1
African women rising
1
Area MP
1
B
1
By government
1
CEFORD
3
CESVI
3
CESVI under world Food Program
1
CIDI
2
CIDI,CARITAS
1
Can't remember
1
Care
1
Caritas
1
Ceford
1
Cesvi
1
DCA
1
DRC
1
District local government
1
Doctor Deep
1
Doctor deep, LWF
1
FAO
31
Fin Church Aid in form of mama kits, porridge for pregnant mothers
1
Food FFH
1
Food For the Hungry
1
Food Hungry
1
Food and Agricultural Organisation
2
Food and Agricultural organisation
1
Food and agriculture organisation
1
1
1
1
From the local government from rigbo subcounty
1
GIZ
3
GOU
1
Give direct
1
GoU
1
Government
6
Government gave us hoes and welt hunger provided the seedlings
1
Government of Uganda
10
1
Government of uganda
3
Government program
1
Government supplies from government
1
HADS
1
Hoes
1
IRC
1
ITULA sub county
1
1
JAM
20
Local Government
2
Local government
24
Luckburg
1
Lutheran world Federation and Alight. They gave jerrycans, shoes, buckets, clothes and blanckets
1
Lutheran world federation
1
Marion brothers
1
Mascorp, Operation wealth creation
1
Masscop
1
Mercy Corps
1
Mercy Corps and AFFCAD
1
Mercy corps
1
Ministry of health and NAADs
1
NAADS, Local government
1
NIGI
1
NORU
1
NORU, welthungerhilfe
1
NRC
2
NRC-NORWEGIAN REFUGEE COUNCIL
1
NRM
2
NRM party
1
NURI
53
NURI and CEFORD
1
NURI and Food for the hungry
1
NURI and Giz
1
1
NURU,, welthungerhilfe
1
Naads
1
None
1
Northern Uganda Rural initiatives
1
Not able to remember
1
Not applicable
1
Nuri
5
Nuri and Redcross
1
OPM
20
1
OPM LOCAL GOVERNMENT
1
OPM, LOCAL GOVERNMENT
1
OPM, Local Government
2
OPM, Local government
2
OPPM, Local Government
1
Operation Wealth Creation
1
Operation wealth creation
1
Operations wealth creation
1
Opm
1
Opm ,local government
1
1
Oxfam
2
Oxfarm
1
Palm combs, welthungerhilfe, NORU
1
Palm corps
3
Reception
1
Red Cross
1
Red Cross Society
1
Red Cross Society Uganda
1
Red cross
1
Red cross uganda
1
Redcross
1
1
SOSI
1
SOURDA
1
Said Ali
1
Self Help Africa
1
So the option was not there but Indicated tools, so they got formal assistance of holiday books for children, soap, pens and pencils by an NGO from Kyangwali camp.
1
Sub county local government
1
Subcounty
3
Subcounty production office
1
The foram
1
UN
1
UNHCR
7
Uganda Red Cross Society
3
Uganda Red Cross society
1
Uriama subcounty headquarter
1
WELT HUNGER
6
WFP
4
Wealth Hunger
3
Wealth creation
1
Weather Hunger
1
1
Welt Hunger
9
Welt Hunger Hilfe
2
Welt hunger
7
Welthunger
1
Welthungerhilfe
7
Welthungerhilfe, Noru, palm combs
1
Windle trust
1
World Food Program
1
World Hunger
1
World Vision
4
World vision
7
1
ZOA
5
X7_5. When did the {Seeds and tools (in-kind or vouchers)} start?
393
5243
0
52000
2142.26
2523.465
X3_6. What is the total amount of {Livestock} received in total in the last 12 m
62
5574
0
2500000
153919.484
356190.963
X4_6. What is the total amount of {Livestock} received in total in the last mont
62
5574
0
450000
17903.226
63913.033
X5_6. Who provided the {Livestock} received?
62
0
Government of Uganda
3
NGOs
40
Other specify
3
UN (FAO, WFP, UNHCR, ILO)
16
Specify other provider:290
3
0
Citizens households(Good Samaritan)
1
Northern Uganda Rural initiatives
1
Self
1
X6_6. If you remember, could you specify the name of the institutions that provi
62
0
AHA
1
Action Against Hunger
1
African Women Raising
1
Brac uganda
1
1
CEFORD
2
CIFORD
1
Cesvi
1
DRC
1
DRDIP
2
Dr Dip, Office of the prime minister
1
Ducks
1
FAO
7
Food for the Hungry
1
GIZ
2
GiZ
1
Giz
1
NURI
2
Northern Uganda Rural initiatives
1
OWC project
1
SORUDA
1
Self work
1
UNHCR
1
WFP
1
Wealth hunger
1
Welt Hunger
9
Welt hunger International
1
Welthunger
1
Welthungerhilfe
2
World Food Program
1
World Vision
5
World Vision Uganda
1
World bank
1
World vision
3
Worldvision
3
X7_6. When did the {Livestock} start?
62
5574
2016
2021
2020.29
1.092
2016
2
2018
2
2019
4
2020
20
2021
34
Sysmiss
5574
X3_7. What is the total amount of {Pension} received in total in the last 12 mon
2
5634
1500000
2400000
1950000
636396.103
X4_7. What is the total amount of {Pension} received in total in the last month
2
5634
150000
200000
175000
35355.339
X5_7. Who provided the {Pension} received?
2
0
Government of Uganda
2
X6_7. If you remember, could you specify the name of the institutions that provi
2
0
Local Government
1
Ministry of Defence
1
X7_7. When did the {Pension} start?
2
5634
2010
2016
2013
4.243
2010
1
2016
1
Sysmiss
5634
X8. Have the members of your household received informal assistance in the last
5585
0
No
5095
Yes
490
X9. What is the total amount of informal assistance received in the last 12 mont
490
5146
0
6000000
343537.571
582476.132
X10. What is the total amount of informal assistance received in the last month
490
5146
0
2800000
47507.959
190205.574
X11. From where did you mainly receive informal assistance?
490
0
Closest town
127
Here (within site/village)
156
Neighbouring village
71
Other (specify)
38
Outside the country
98
Specify other292
38
0
1
Arua
1
Aruatown
1
Brother
1
City
4
Closest District
1
Family Relative (In the country)
1
From her children who stay away in mbra city
1
From maracha District
1
From other parts of Uganda by the children
1
From parents
1
From the children away from this district
1
From the husband who has gone to Kampala
1
From the parents
1
From the son
1
Give Directly
1
Gulu
1
Husband working in Isingiro District
1
Kampala
3
Kampala from the son
1
LWF
2
LWF assistance
1
Money lender
1
Moslem community
1
None
1
Reception
1
Relative
1
Relatives
1
Sister
1
Sons of the late moi moris who are employed atime gives helping hand to family
1
Thd daughter who is married in different place gave them assistance
1
UNHCR
1
Have the members of your household provided/given out informal assistance in the
5585
0
No
5382
Yes
203
What is the total amount of informal assistance provided/given out in the last 1
203
5433
0
50000000
361990.148
3507306.662
What is the total amount of informal assistance provided/given out in the LAST O
203
5433
0
300000
15985.222
39896.677
Where did you mainly send the informal assistance?
203
0
Closest town
25
Here (within site/village)
125
Neighbouring village
32
Other (specify)
7
Outside the country
14
Specify other293
7
0
Arua in the camp
1
From Rhino settlement
1
From the daughter living in kampala
1
Home, Mbale District
1
Kampala
1
None
1
Other parts of the district
1