CGAP Smallholder Household Survey 2016, Building the Evidence Base on the Agricultural and Financial Lives of Smallholder Households

Tanzania, 2016

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Reference ID

TZA_2016_SHS_v01_M

Producer(s)

Jamie Anderson

Metadata

DDI/XML JSON

Created on

Dec 05, 2019

Last modified

Dec 05, 2019

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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

Start: 19

End: 21

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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