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

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

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Agriculture Census and Surveys

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Oct 24, 2019

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Oct 24, 2019

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District (District)

Data file: Cattle diseases R185

Overview

Valid: 51901

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

Questions and instructions

Categories

Value	Category	Cases
011	Kondoa	862	1.7%
012	Mpwapwa	292	0.6%
013	Kongwa	399	0.8%
014	Dodoma Rural	275	0.5%
015	Dodoma Urban	261	0.5%
021	Monduli	1775	3.4%
022	Arumeru	1750	3.4%
023	Arusha	246	0.5%
024	Karatu	1239	2.4%
025	Ngorongoro	1546	3%
031	Rombo	808	1.6%
032	Mwanga	1044	2%
033	Same	543	1%
034	Moshi Rural	1303	2.5%
035	Hai	953	1.8%
036	Moshi Urban	0	0%
041	Lushoto	993	1.9%
042	Korogwe	410	0.8%
043	Muheza	217	0.4%
044	Tanga	265	0.5%
045	Pangani	51	0.1%
046	Handeni	275	0.5%
047	Kilindi	279	0.5%
051	Kilosa	167	0.3%
052	Morogoro Rural	66	0.1%
053	Kilombero	40	0.1%
054	Ulanga	110	0.2%
055	Morogoro Urban	26	0.1%
056	Mvomero	32	0.1%
061	Bagamoyo	120	0.2%
062	Kibaha	81	0.2%
063	Kisarawe	49	0.1%
064	Mkuranga	5	0%
065	Rufiji	47	0.1%
066	Mafia	248	0.5%
071	Kinondoni	215	0.4%
072	Ilala	40	0.1%
073	Temeke	156	0.3%
081	Kilwa	0	0%
082	Lindi Rural	18	0%
083	Nachingwea	6	0%
084	Liwale	0	0%
085	Ruangwa	0	0%
086	Lindi Urban	24	0%
091	Mtwara Rural	22	0%
092	Newala	27	0.1%
093	Masasi	31	0.1%
094	Tandahimba	17	0%
095	Mtwara Urban	1	0%
101	Tunduru	22	0%
102	Songea Rural	139	0.3%
103	Mbinga	403	0.8%
104	Songea Urban	115	0.2%
105	Namtumbo	66	0.1%
111	Iringa Rural	155	0.3%
112	Mufindi	301	0.6%
113	Makete	732	1.4%
114	Njombe	394	0.8%
115	Ludewa	296	0.6%
116	Iringa Urban	8	0%
117	Kilolo	227	0.4%
121	Chunya	222	0.4%
122	Mbeya Rural	501	1%
123	Kyela	406	0.8%
124	Rungwe	936	1.8%
125	Ileje	541	1%
126	Mbozi'	724	1.4%
127	Mbarali	309	0.6%
128	Mbeya Urban	504	1%
131	Iramba	868	1.7%
132	Singida Rural	1198	2.3%
133	Manyoni	264	0.5%
134	Singida Urban	482	0.9%
141	Nzega	750	1.4%
142	Igunga	788	1.5%
143	Uyui	369	0.7%
144	Urambo	236	0.5%
145	Sikonge	384	0.7%
146	Tabora Urban	206	0.4%
151	Mpanda	139	0.3%
152	Sumbawanga Rural	665	1.3%
153	Nkansi	381	0.7%
154	Sumbawanga Urban	524	1%
161	Kibondo	196	0.4%
162	Kasulu	200	0.4%
163	Kigoma Rural	47	0.1%
164	Kigoma Urban	3	0%
171	Bariadi	834	1.6%
172	Maswa	579	1.1%
173	Shinyanga Rural	818	1.6%
174	Kahama	826	1.6%
175	Bukombe	521	1%
176	Meatu	672	1.3%
177	Shinyanga Urban	477	0.9%
178	Kishapu	810	1.6%
181	Karagwe	315	0.6%
182	Bukoba Rural	249	0.5%
183	Muleba	204	0.4%
184	Biharamulo	492	0.9%
185	Ngara	160	0.3%
186	Bukoba Urban	72	0.1%
191	Ukerewe	898	1.7%
192	Magu	631	1.2%
193	Nyamagana	0	0%
194	Kwimba	652	1.3%
195	Sengerema	760	1.5%
196	Geita	685	1.3%
197	Misungwi	704	1.4%
198	Ilemela	343	0.7%
201	Tarime	1037	2%
202	Serengeti	753	1.5%
203	Musoma Rural	463	0.9%
204	Bunda	503	1%
205	Musoma Urban	68	0.1%
211	Babati	1146	2.2%
212	Hanang	1175	2.3%
213	Mbulu	1374	2.6%
214	Simanjiro	1203	2.3%
215	Kiteto	442	0.9%

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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