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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURE-CENSUS-SURVEYS / TZA_2016_SHS_V01_EN_M_V01_A_OCS / variable [F2]
agriculture-census-surveys

Smallholder Household Survey - CGAP, 2016

Tanzania, 2016
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Reference ID
TZA_2016_SHS_v01_EN_M_v01_A_OCS
Producer(s)
Jamie Anderson
Collections
Agriculture Census and Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 20, 2020
Last modified
Oct 20, 2020
Page views
4110
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  • Study Description
  • Data Description
  • Downloads
  • Data files
  • cgap_smallholder_household_survey_tza_2015_multiple_may_16
  • cgap_smallholder_household_survey_tza_2015_single_may_16
  • CGAP
    Smallholder
    Household
    Survey_TZA
    2015_Household_19
    May 16

District (I9)

Data file: cgap_smallholder_household_survey_tza_2015_multiple_may_16

Overview

Valid: 5034
Invalid: 0
Minimum: 1
Maximum: 137
Type: Discrete
Decimal: 0
Width: 3
Range: 1 - 137
Format: Numeric

Questions and instructions

Literal question
District Name
Categories
Value Category Cases
1 Arusha 29
0.6%
2 Arusha Mjini 19
0.4%
3 Babati 58
1.2%
4 Babati Mji 36
0.7%
5 Bagamoyo 31
0.6%
6 Bahi 19
0.4%
7 Bariadi 33
0.7%
8 Biharamulo 49
1%
9 Buhigwe 28
0.6%
10 Bukoba 54
1.1%
11 Bukoba Manispaa 23
0.5%
12 Bunda 52
1%
13 Busega 52
1%
14 Butiama 20
0.4%
15 Chake Chake 27
0.5%
16 Chamwino 47
0.9%
17 Chato 86
1.7%
18 Chemba 18
0.4%
19 Chunya 48
1%
20 Dodoma Mjini 35
0.7%
21 Gairo 33
0.7%
22 Geita 73
1.5%
23 Hai 49
1%
24 Hanang 28
0.6%
25 Handeni 55
1.1%
26 Igunga 31
0.6%
27 Ikungi 29
0.6%
28 Ilala 173
3.4%
29 Ileje 23
0.5%
30 Ilemela Manispaa 35
0.7%
31 Iramba 27
0.5%
32 Iringa 35
0.7%
33 Iringa Manispaa 33
0.7%
34 Itilima 29
0.6%
35 Kahama 28
0.6%
36 Kahama Mji 21
0.4%
37 Kakonko 19
0.4%
38 Kalambo 34
0.7%
39 Kaliua 45
0.9%
40 Karagwe 23
0.5%
41 Karatu 12
0.2%
42 Kaskazini B 18
0.4%
43 Kasulu 26
0.5%
44 Kasulu Mji 27
0.5%
45 Kibondo 46
0.9%
46 Kigoma 30
0.6%
47 Kigoma Manispaa 24
0.5%
48 Kilindi 19
0.4%
49 Kilolo 61
1.2%
50 Kilombero 47
0.9%
51 Kilosa 89
1.8%
52 Kilwa 28
0.6%
53 Kinondoni 90
1.8%
54 Kisarawe 10
0.2%
55 Kishapu 33
0.7%
56 Kiteto 24
0.5%
57 Kondoa 22
0.4%
58 Kongwa 21
0.4%
59 Korogwe 41
0.8%
60 Korogwe Mjini 23
0.5%
61 Kwimba 41
0.8%
62 Kyela 22
0.4%
63 Kyerwa 27
0.5%
64 Lindi 20
0.4%
65 Lindi Manispaa 12
0.2%
66 Ludewa 46
0.9%
67 Lushoto 69
1.4%
68 Mafia 11
0.2%
69 Magharibi 18
0.4%
70 Magu 21
0.4%
71 Makete 20
0.4%
72 Manyoni 44
0.9%
73 Masasi 40
0.8%
74 Maswa 37
0.7%
75 Mbarali 49
1%
76 Mbeya 27
0.5%
77 Mbeya Jiji 43
0.9%
78 Mbinga 64
1.3%
79 Mbogwe 35
0.7%
80 Mbozi 35
0.7%
81 Mbulu 25
0.5%
82 Meatu 41
0.8%
83 Meru 45
0.9%
84 Missenyi 30
0.6%
85 Misungwi 35
0.7%
86 Mjini 29
0.6%
87 Mkalama 38
0.8%
88 Mlele 23
0.5%
89 Momba 26
0.5%
90 Monduli 6
0.1%
91 Morogoro 29
0.6%
92 Morogoro Manispaa 26
0.5%
93 Moshi 51
1%
94 Mpanda 62
1.2%
95 Mpwapwa 27
0.5%
96 Mtwara Manispaa 18
0.4%
97 Mtwara Vijijini 27
0.5%
98 Mufindi 24
0.5%
99 Muheza 22
0.4%
100 Muleba 70
1.4%
101 Mvomero 34
0.7%
102 Mwanga 46
0.9%
103 Nachingwea 25
0.5%
104 Namtumbo 33
0.7%
105 Nanyumbu 27
0.5%
106 Newala 41
0.8%
107 Ngara 56
1.1%
108 Ngorongoro 0
0%
109 Nkasi 50
1%
110 Nyamagana Manispaa 12
0.2%
111 Nzega 58
1.2%
112 Rombo 26
0.5%
113 Rorya 25
0.5%
114 Ruangwa 25
0.5%
115 Rufiji 27
0.5%
116 Rungwe 44
0.9%
117 Same 23
0.5%
118 Sengerema 59
1.2%
119 Serengeti 32
0.6%
120 Shinyanga Manispaa 23
0.5%
121 Siha 29
0.6%
122 Singida 29
0.6%
123 Sinyanga 35
0.7%
124 Songea Manispaa 50
1%
125 Sumbawanga 31
0.6%
126 Tabora Manispaa 61
1.2%
127 Tandahimba 21
0.4%
128 Tarime 44
0.9%
129 Temeke 184
3.7%
130 Tunduru 56
1.1%
131 Ukerewe 27
0.5%
132 Ulanga 55
1.1%
133 Urambo 60
1.2%
134 Uvinza 32
0.6%
135 Uyui 21
0.4%
136 Wang'ing'ombe 18
0.4%
137 Wangingombe 2
0%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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