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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
Nov 08, 2022
Page views
9584
Downloads
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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 (HH7)

Data file: CGAP Smallholder Household Survey_TZA 2015_Household_19 May 16

Overview

Valid: 2993
Invalid: 0
Minimum: 1
Maximum: 136
Type: Discrete
Decimal: 0
Width: 3
Range: 1 - 137
Format: Numeric

Questions and instructions

Literal question
District
Categories
Value Category Cases
1 Arusha 21
0.7%
2 Arusha Mjini 11
0.4%
3 Babati 30
1%
4 Babati Mji 17
0.6%
5 Bagamoyo 22
0.7%
6 Bahi 13
0.4%
7 Bariadi 17
0.6%
8 Biharamulo 27
0.9%
9 Buhigwe 16
0.5%
10 Bukoba 33
1.1%
11 Bukoba Manispaa 14
0.5%
12 Bunda 31
1%
13 Busega 30
1%
14 Butiama 13
0.4%
15 Chake Chake 24
0.8%
16 Chamwino 30
1%
17 Chato 45
1.5%
18 Chemba 14
0.5%
19 Chunya 31
1%
20 Dodoma Mjini 27
0.9%
21 Gairo 15
0.5%
22 Geita 32
1.1%
23 Hai 30
1%
24 Hanang 13
0.4%
25 Handeni 33
1.1%
26 Igunga 16
0.5%
27 Ikungi 14
0.5%
28 Ilala 114
3.8%
29 Ileje 16
0.5%
30 Ilemela Manispaa 16
0.5%
31 Iramba 17
0.6%
32 Iringa 16
0.5%
33 Iringa Manispaa 16
0.5%
34 Itilima 17
0.6%
35 Kahama 17
0.6%
36 Kahama Mji 12
0.4%
37 Kakonko 14
0.5%
38 Kalambo 16
0.5%
39 Kaliua 14
0.5%
40 Karagwe 17
0.6%
41 Karatu 8
0.3%
42 Kaskazini B 15
0.5%
43 Kasulu 16
0.5%
44 Kasulu Mji 14
0.5%
45 Kibondo 30
1%
46 Kigoma 16
0.5%
47 Kigoma Manispaa 16
0.5%
48 Kilindi 14
0.5%
49 Kilolo 33
1.1%
50 Kilombero 31
1%
51 Kilosa 47
1.6%
52 Kilwa 17
0.6%
53 Kinondoni 62
2.1%
54 Kisarawe 9
0.3%
55 Kishapu 16
0.5%
56 Kiteto 15
0.5%
57 Kondoa 15
0.5%
58 Kongwa 16
0.5%
59 Korogwe 30
1%
60 Korogwe Mjini 15
0.5%
61 Kwimba 27
0.9%
62 Kyela 16
0.5%
63 Kyerwa 16
0.5%
64 Lindi 16
0.5%
65 Lindi Manispaa 9
0.3%
66 Ludewa 29
1%
67 Lushoto 46
1.5%
68 Mafia 10
0.3%
69 Magharibi 13
0.4%
70 Magu 15
0.5%
71 Makete 14
0.5%
72 Manyoni 30
1%
73 Masasi 28
0.9%
74 Maswa 17
0.6%
75 Mbarali 31
1%
76 Mbeya 16
0.5%
77 Mbeya Jiji 30
1%
78 Mbinga 30
1%
79 Mbogwe 16
0.5%
80 Mbozi 28
0.9%
81 Mbulu 17
0.6%
82 Meatu 16
0.5%
83 Meru 28
0.9%
84 Missenyi 16
0.5%
85 Misungwi 23
0.8%
86 Mjini 15
0.5%
87 Mkalama 16
0.5%
88 Mlele 14
0.5%
89 Momba 17
0.6%
90 Monduli 7
0.2%
91 Morogoro 15
0.5%
92 Morogoro Manispaa 14
0.5%
93 Moshi 31
1%
94 Mpanda 32
1.1%
95 Mpwapwa 14
0.5%
96 Mtwara Manispaa 11
0.4%
97 Mtwara Vijijini 14
0.5%
98 Mufindi 16
0.5%
99 Muheza 17
0.6%
100 Muleba 33
1.1%
101 Mvomero 17
0.6%
102 Mwanga 32
1.1%
103 Nachingwea 15
0.5%
104 Namtumbo 15
0.5%
105 Nanyumbu 15
0.5%
106 Newala 31
1%
107 Ngara 34
1.1%
108 Ngorongoro 0
0%
109 Nkasi 27
0.9%
110 Nyamagana Manispaa 13
0.4%
111 Nzega 31
1%
112 Rombo 16
0.5%
113 Rorya 16
0.5%
114 Ruangwa 15
0.5%
115 Rufiji 21
0.7%
116 Rungwe 32
1.1%
117 Same 14
0.5%
118 Sengerema 38
1.3%
119 Serengeti 17
0.6%
120 Shinyanga Manispaa 14
0.5%
121 Siha 15
0.5%
122 Singida 14
0.5%
123 Sinyanga 17
0.6%
124 Songea Manispaa 29
1%
125 Sumbawanga 16
0.5%
126 Tabora Manispaa 34
1.1%
127 Tandahimba 16
0.5%
128 Tarime 30
1%
129 Temeke 96
3.2%
130 Tunduru 31
1%
131 Ukerewe 15
0.5%
132 Ulanga 31
1%
133 Urambo 32
1.1%
134 Uvinza 16
0.5%
135 Uyui 14
0.5%
136 Wang'ing'ombe 15
0.5%
137 Wangingombe 0
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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