Agriculture Sample Census Survey 2002-2003

United Republic of Tanzania, 2004

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Reference ID

TZA_2002-2003_ASCS_v01_EN_M_v01_A_OCS

Producer(s)

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 (District)

Data file: Cattle population, intake and offtake R182

Overview

Valid: 47879

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

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Categories

Value	Category	Cases
011	Kondoa	891	1.9%
012	Mpwapwa	306	0.6%
013	Kongwa	443	0.9%
014	Dodoma Rural	345	0.7%
015	Dodoma Urban	287	0.6%
021	Monduli	1813	3.8%
022	Arumeru	1680	3.5%
023	Arusha	246	0.5%
024	Karatu	1263	2.6%
025	Ngorongoro	1646	3.4%
031	Rombo	388	0.8%
032	Mwanga	784	1.6%
033	Same	539	1.1%
034	Moshi Rural	1040	2.2%
035	Hai	866	1.8%
036	Moshi Urban	0	0%
041	Lushoto	556	1.2%
042	Korogwe	312	0.7%
043	Muheza	139	0.3%
044	Tanga	214	0.4%
045	Pangani	54	0.1%
046	Handeni	171	0.4%
047	Kilindi	249	0.5%
051	Kilosa	155	0.3%
052	Morogoro Rural	78	0.2%
053	Kilombero	45	0.1%
054	Ulanga	87	0.2%
055	Morogoro Urban	33	0.1%
056	Mvomero	24	0.1%
061	Bagamoyo	111	0.2%
062	Kibaha	76	0.2%
063	Kisarawe	26	0.1%
064	Mkuranga	3	0%
065	Rufiji	43	0.1%
066	Mafia	257	0.5%
071	Kinondoni	126	0.3%
072	Ilala	31	0.1%
073	Temeke	115	0.2%
081	Kilwa	0	0%
082	Lindi Rural	10	0%
083	Nachingwea	8	0%
084	Liwale	0	0%
085	Ruangwa	0	0%
086	Lindi Urban	14	0%
091	Mtwara Rural	22	0%
092	Newala	23	0%
093	Masasi	33	0.1%
094	Tandahimba	10	0%
095	Mtwara Urban	2	0%
101	Tunduru	14	0%
102	Songea Rural	84	0.2%
103	Mbinga	270	0.6%
104	Songea Urban	62	0.1%
105	Namtumbo	46	0.1%
111	Iringa Rural	150	0.3%
112	Mufindi	334	0.7%
113	Makete	738	1.5%
114	Njombe	392	0.8%
115	Ludewa	305	0.6%
116	Iringa Urban	16	0%
117	Kilolo	247	0.5%
121	Chunya	222	0.5%
122	Mbeya Rural	321	0.7%
123	Kyela	422	0.9%
124	Rungwe	541	1.1%
125	Ileje	361	0.8%
126	Mbozi'	559	1.2%
127	Mbarali	298	0.6%
128	Mbeya Urban	298	0.6%
131	Iramba	800	1.7%
132	Singida Rural	1122	2.3%
133	Manyoni	300	0.6%
134	Singida Urban	438	0.9%
141	Nzega	776	1.6%
142	Igunga	863	1.8%
143	Uyui	400	0.8%
144	Urambo	246	0.5%
145	Sikonge	419	0.9%
146	Tabora Urban	240	0.5%
151	Mpanda	136	0.3%
152	Sumbawanga Rural	549	1.1%
153	Nkansi	334	0.7%
154	Sumbawanga Urban	461	1%
161	Kibondo	132	0.3%
162	Kasulu	176	0.4%
163	Kigoma Rural	55	0.1%
164	Kigoma Urban	5	0%
171	Bariadi	830	1.7%
172	Maswa	668	1.4%
173	Shinyanga Rural	867	1.8%
174	Kahama	884	1.8%
175	Bukombe	529	1.1%
176	Meatu	750	1.6%
177	Shinyanga Urban	638	1.3%
178	Kishapu	877	1.8%
181	Karagwe	254	0.5%
182	Bukoba Rural	213	0.4%
183	Muleba	174	0.4%
184	Biharamulo	456	1%
185	Ngara	124	0.3%
186	Bukoba Urban	64	0.1%
191	Ukerewe	640	1.3%
192	Magu	631	1.3%
193	Nyamagana	0	0%
194	Kwimba	705	1.5%
195	Sengerema	674	1.4%
196	Geita	625	1.3%
197	Misungwi	700	1.5%
198	Ilemela	255	0.5%
201	Tarime	906	1.9%
202	Serengeti	762	1.6%
203	Musoma Rural	471	1%
204	Bunda	555	1.2%
205	Musoma Urban	65	0.1%
211	Babati	1059	2.2%
212	Hanang	1015	2.1%
213	Mbulu	1215	2.5%
214	Simanjiro	1120	2.3%
215	Kiteto	457	1%

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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