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SWEETPOTATO ADOPTION, ROI- RESPONDENT IDENTIFICATION
Result Filters
All Districts
Amuria
All Subcounties
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General Overview [All Districts]
Description
Results
Interview period
15-Oct-2024 to 10-Nov-2024
Total number of Respondents
641 (Male:286 Female:355)
Number of Subcounties
15
Age of Respondent (years)
Avg: 43 Min: 18 Max: 93
a1. Distance (walking minutes) from the residence to the closest open-air market
Avg: 93 Min: 1 Max: 999
a2. Distance (walking minutes) from the residence to the nearest government extension service provider’s office
Avg: 96 Min: 1 Max: 999
a3. Distance (walking minutes) from the residence to the nearest input (fertilizer vines pesticides herbicides) selling point
Avg: 86 Min: 1 Max: 999
a4b. Distance (walking minutes) to the nearest electricity source
Avg: 16 Min: 1 Max: 180
a4c. Distance (walking minutes) to the nearest source of piped water
Avg: 9 Min: 1 Max: 120
a4d. Distance to the nearest shopping center (walking minutes)
Avg: 25 Min: 1 Max: 180
Respondent categorisation by District [All Districts]
Code
Description
Freq
Percent
2560101
Amuria
641
100.00
Overall
641
100.00
Respondent categorisation by Sex [All Districts]
Code
Description
Freq
Percent
00
Female
355
55.38
01
Male
286
44.62
Overall
641
100.00
Age of Respondents (categories) [All Districts]
Code
Description
Freq
Percent
04
Youths 18-35 years
248
38.69
05
Adults 36-60 years
303
47.27
06
Elderly (above 60 years)
90
14.04
Overall
641
100.00
Youth or Adult [All Districts]
Code
Description
Freq
Percent
02
Youths (18-35 years)
248
38.69
03
Adults (above 35 years)
393
61.31
Overall
641
100.00
Highest level of education of Respondent [All Districts]
Code
Description
Freq
Percent
01
No education
58
9.05
02
Primary
408
63.65
03
Secondary education
152
23.71
04
Tertiary certificate
19
2.96
05
Bachelor Degree
2
0.31
06
Master’s Degree
2
0.31
Overall
641
100.00
Marital Status of Respondent [All Districts]
Code
Description
Freq
Percent
01
Single
31
4.84
02
Married
499
77.85
03
Divorced
9
1.40
04
Widow / widower
66
10.30
05
Separated
36
5.62
Overall
641
100.00
Relationship of Respondent to Household Head [All Districts]
Code
Description
Freq
Percent
01
Head
383
59.75
02
Spouse
223
34.79
03
Son/daughter
24
3.74
04
Grandson/daughter; son/daughter in-law
4
0.62
05
Uncle /Aunt
1
0.16
06
Parent
4
0.62
07
Brother/sister
1
0.16
95
Other relative
1
0.16
Overall
641
100.00
Primary occupation of respondent [All Districts]
Code
Description
Freq
Percent
01
Crop farming
601
93.76
02
Livestock
1
0.16
03
Bee keeping
1
0.16
04
Small business
20
3.12
05
Wage worker
1
0.16
06
Formal employment
14
2.18
95
Other
3
0.47
Overall
641
100.00
Household size (number of household members) [All Districts]
Code
Description
Freq
Percent
01
1-3 members
82
12.79
02
4-6 members
150
23.40
03
7-9 members
292
45.55
04
10 plus members
117
18.25
Overall
641
100.00
What is the type of road from homestead to the nearest sweetpotato selling point? [All Districts]
Code
Description
Freq
Percent
01
Tarmac
14
2.18
02
Motor able road
250
39.00
03
All weather
144
22.46
04
Dry weather only
56
8.74
05
Foot path
176
27.46
95
Others
1
0.16
Overall
641
100.00
Is there an electricity source in the village? [All Districts]
Code
Description
Freq
Percent
00
No
520
81.12
01
Yes
121
18.88
Overall
641
100.00
Is there piped water in the village? [All Districts]
Code
Description
Freq
Percent
00
No
580
90.48
01
Yes
61
9.52
Overall
641
100.00
Respondent categorisation by Subcounties [All Districts]
Code
Description
Freq
Percent
256010101
Abarilela
35
5.46
256010102
Abia
33
5.15
256010103
Akeriau
35
5.46
256010104
Amolo
44
6.86
256010105
Amuria TC
23
3.59
256010106
Apeduru
44
6.86
256010107
Asamuk
75
11.70
256010108
Kuju
43
6.71
256010109
Morungatuny
41
6.40
256010110
Ogolai
46
7.18
256010111
Ogongora
36
5.62
256010112
Olwa
41
6.40
256010113
Orungo
44
6.86
256010114
Wera
58
9.05
256010115
Willa
43
6.71
Overall
641
100.00
[SP PRODUCTION] c6.2. In which seasons did you grow sweetpotato [All Districts]
Note: results are from Roster Table
Code
Description
Freq
Percent
01
Jul - Dec 2023
420
48.05
02
Jan - Jun 2024
454
51.95
Overall
874
100.00
[VARIETIES GROWN] c9.0. Which varieties of sweetpotato have you ever grown [All Districts]
Note: results are from multiple-choice responses
Code
Description
Freq
Percent
03
Alero
1
0.05
06
Araka Araka
197
9.16
07
Ateseke
170
7.90
10
Bunduguza
1
0.05
12
Egang/Emalayan
53
2.46
13
Ejumula
93
4.32
14
Kakamega
27
1.26
15
Kampala
86
4.00
20
La Lira
59
2.74
25
Naspot 1 (Bwenje)
6
0.28
27
Naspot 11 (Tomulabula)
1
0.05
28
Naspot 12 (Gerald)
1
0.05
29
Naspot 13 (Jowelia)
81
3.77
33
New Dimbuka
105
4.88
34
New Kawogo
5
0.23
37
Okonynedo
4
0.19
41
Tanzania/ Osukut
328
15.25
42
Tera
1
0.05
44
Iboi/ Osapat/ Esapat
378
17.57
45
Epuusa
137
6.37
46
Asiira
27
1.26
47
Adupa
38
1.77
48
Namukoma
39
1.81
49
Imutugulu
4
0.19
50
Iriko
4
0.19
95
Others
305
14.18
Overall
2,151
100.00
[INPUTS USED] c10.2. Types of input used on sweetpotato plots [All Districts]
Note: results are from Roster Table
Code
Description
Freq
Percent
01
Fertilizer
1
0.11
02
Vines
766
84.83
03
Fungicide
1
0.11
04
Pesticide
6
0.66
05
Packaging cost
68
7.53
06
Transport costs
42
4.65
07
Postharvest costs
6
0.66
08
Labour
1
0.11
95
Others
12
1.33
Overall
903
100.00
[SP TECHNOLOGIES] d4. Which sweetpotato-producing technologies have you ever used? [All Districts]
Note: results are from multiple-choice responses
Code
Description
Freq
Percent
01
Improved varieties
343
87.06
02
Good Agricultural Practice (three cuttings per mound)
51
12.94
Overall
394
100.00
[FARM ASSETS] e4.0. What farm assets/ implements do you have? [All Districts]
Note: results are from multiple-choice responses
Code
Description
Freq
Percent
01
Ox-plough
287
14.57
02
Ox/donkey cart
1
0.05
03
Wheelbarrow
74
3.76
05
Hoe
637
32.34
06
Axes
376
19.09
07
Panga/knife
448
22.74
09
Spray
142
7.21
95
Other
3
0.15
96
None
2
0.10
Overall
1,970
100.00
[INFO SOURCES] c3.0. What were your major sources of information on sweetpotato production and marketing during the last 12 months [All Districts]
Note: results are from multiple-choice responses
Code
Description
Freq
Percent
01
Other farmers
160
24.43
02
Farmer groups/cooperative
6
0.92
03
Extension officer
36
5.50
04
Retailer
3
0.46
05
Wholesaler
3
0.46
06
Vine multipliers
1
0.15
07
Research station
4
0.61
08
Radios
9
1.37
09
NGOs (CIP, etc.)
9
1.37
11
SMS Messages
1
0.15
13
Political Leaders
1
0.15
95
Others
64
9.77
96
None
358
54.66
Overall
655
100.00
[CREDIT ACCESS] f7.0. What were your major sources of credit in the last 12 months [All Districts]
Note: results are from multiple-choice responses
Code
Description
Freq
Percent
01
Commercial bank
12
2.76
02
Government program
65
14.98
03
Microfinance
13
3.00
05
NGO
3
0.69
06
Village Savings and Loans (VSL)
299
68.89
07
Women group
3
0.69
09
Family, neighbor, friend
32
7.37
10
Loan sharks
1
0.23
95
Other
6
1.38
Overall
434
100.00
[SOCIAL NETWORKS] f11.0. Which associations/ groups do you belong to [All Districts]
Note: results are from multiple-choice responses
Code
Description
Freq
Percent
01
Cooperative/ association
6
0.89
02
Credit and saving group
227
33.83
03
Production and marketing group
2
0.30
04
Women group
21
3.13
05
Youth group
4
0.60
06
Trader group
1
0.15
07
Sweetpotato farming group
1
0.15
08
Village group
201
29.96
95
Other
5
0.75
96
None
203
30.25
Overall
671
100.00
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