Agriculture Sample Census Survey 2007-2008

United Republic of Tanzania, 2009

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Reference ID

TZA_2007-2008_ASCS_v01_EN_M_v01_A_OCS

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National Bureau of Statistics, Office of Chief Government Statistician-Zanzibar

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Agricultural Censuses

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Oct 24, 2019

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Oct 24, 2019

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District Identification (Dist_ID)

Data file: R066

Overview

Valid: 396150

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

Questions and instructions

Categories

Value	Category	Cases
011	Kondoa	3096	0.8%
012	Mpwapwa	2712	0.7%
013	Kongwa	3088	0.8%
015	Dodoma Urban	2960	0.7%
016	Bahi	3240	0.8%
017	Chamwino	2992	0.8%
021	Monduli	3000	0.8%
023	Arusha	480	0.1%
024	Karatu	3000	0.8%
025	Ngorongoro	2912	0.7%
026	Longido	2984	0.8%
027	Arusha Rural	3088	0.8%
028	Meru	2784	0.7%
031	Rombo	3120	0.8%
032	Mwanga	2984	0.8%
033	Same	2808	0.7%
034	Moshi Rural	3000	0.8%
035	Hai	2504	0.6%
037	Siha	1864	0.5%
041	Lushoto	2840	0.7%
042	Korogwe	2968	0.7%
043	Muheza	2352	0.6%
044	Tanga	2744	0.7%
045	Pangani	2856	0.7%
046	Handeni	2840	0.7%
047	Kilindi	3040	0.8%
048	Mkinga	2792	0.7%
051	Kilosa	3240	0.8%
052	Morogoro	2744	0.7%
053	Kilombero	3000	0.8%
054	Ulanga	3032	0.8%
055	Morogoro Urban	2752	0.7%
056	Mvomero	3008	0.8%
061	Bagamoyo	2768	0.7%
062	Kibaha	3000	0.8%
063	Kisarawe	2992	0.8%
064	Mkuranga	2992	0.8%
065	Rufiji	3008	0.8%
066	Mafia	2160	0.5%
071	Kinondoni	1968	0.5%
072	Ilala	1200	0.3%
073	Temeke	2448	0.6%
081	Kilwa	3240	0.8%
082	Lindi Rural	2760	0.7%
083	Nachingwea	2984	0.8%
084	Liwale	2952	0.7%
085	Ruangwa	3240	0.8%
086	Lindi Urban	488	0.1%
091	Mtwara Rural	3240	0.8%
092	Newala	3000	0.8%
093	Masasi	3000	0.8%
094	Tandahimba	2992	0.8%
095	Mtwara Urban	720	0.2%
096	Nanyumbu	3232	0.8%
101	Tunduru	3240	0.8%
102	Songea Rural	3208	0.8%
103	Mbinga	2992	0.8%
104	Songea Urban	2040	0.5%
105	Namtumbo	3000	0.8%
111	Iringa Rural	3048	0.8%
112	Mufindi	3232	0.8%
113	Makete	3240	0.8%
114	Njombe	3024	0.8%
115	Ludewa	3232	0.8%
116	Iringa Urban	720	0.2%
117	Kilolo	3224	0.8%
118	Njombe Mji	3008	0.8%
121	Chunya	3015	0.8%
122	Mbeya (R)	3240	0.8%
123	Kyela	3216	0.8%
124	Rungwe	3008	0.8%
125	Ileje	3232	0.8%
126	Mbozi	3232	0.8%
127	Mbarali	3232	0.8%
128	Mbeya Urban	2872	0.7%
131	Iramba	3232	0.8%
132	Singida Rural	3240	0.8%
133	Manyoni	3240	0.8%
134	Singida Urban	1960	0.5%
141	Nzega	3016	0.8%
142	Igunga	3016	0.8%
143	Uyui	3240	0.8%
144	Urambo	3008	0.8%
145	Sikonge	3112	0.8%
146	Tabora Urban	3240	0.8%
151	Mpanda	3000	0.8%
152	Sumbawanga Rural	3240	0.8%
153	Nkasi	3240	0.8%
154	Sumbawanga Urban	3120	0.8%
161	Kibondo	3144	0.8%
162	Kasulu	3000	0.8%
163	Kigoma Rural	3240	0.8%
164	Kigoma Urban	600	0.2%
171	Bariadi	3240	0.8%
172	Maswa	3240	0.8%
173	Shinyanga Rural	3000	0.8%
174	Kahama	3112	0.8%
175	Bukombe	3008	0.8%
176	Meatu	3232	0.8%
177	Shinyanga Urban	2528	0.6%
178	Kishapu	3240	0.8%
181	Karagwe	3240	0.8%
182	Bukoba Rural	3224	0.8%
183	Muleba	3240	0.8%
184	Biharamulo	3032	0.8%
185	Ngara	3240	0.8%
186	Bukoba Urban	944	0.2%
187	Missenyi	3112	0.8%
188	Chato	2880	0.7%
191	Ukerewe	3240	0.8%
192	Magu	3240	0.8%
194	Kwimba	3240	0.8%
195	Sengerema	3232	0.8%
196	Geita	3240	0.8%
197	Missungwi	3240	0.8%
198	Ilemela	2024	0.5%
201	Tarime	3240	0.8%
202	Serengeti	3224	0.8%
203	Musoma Rural	3232	0.8%
204	Bunda	3240	0.8%
205	Musoma Urban	360	0.1%
206	Rorya	3240	0.8%
211	Babati	3232	0.8%
212	Hanang	3016	0.8%
213	Mbulu	3216	0.8%
214	Simanjiro	3104	0.8%
215	Kiteto	3232	0.8%
511	Kaskazini-A	4176	1.1%
512	Kaskazini-B	3376	0.9%
521	Kati	3320	0.8%
522	Kusini	2760	0.7%
531	Magharibi	4280	1.1%
541	Wete	4343	1.1%
542	Micheweni	4336	1.1%
551	Chake	3600	0.9%
552	Mkoani	2304	0.6%

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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