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: Goat intake during 20022003 R193

Overview

Valid: 29802

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

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Categories

Value	Category	Cases
011	Kondoa	729	2.4%
012	Mpwapwa	242	0.8%
013	Kongwa	211	0.7%
014	Dodoma Rural	234	0.8%
015	Dodoma Urban	166	0.6%
021	Monduli	1569	5.3%
022	Arumeru	1004	3.4%
023	Arusha	150	0.5%
024	Karatu	939	3.2%
025	Ngorongoro	950	3.2%
031	Rombo	443	1.5%
032	Mwanga	196	0.7%
033	Same	183	0.6%
034	Moshi Rural	543	1.8%
035	Hai	290	1%
036	Moshi Urban	0	0%
041	Lushoto	199	0.7%
042	Korogwe	223	0.7%
043	Muheza	270	0.9%
044	Tanga	150	0.5%
045	Pangani	194	0.7%
046	Handeni	305	1%
047	Kilindi	248	0.8%
051	Kilosa	140	0.5%
052	Morogoro Rural	308	1%
053	Kilombero	39	0.1%
054	Ulanga	37	0.1%
055	Morogoro Urban	76	0.3%
056	Mvomero	89	0.3%
061	Bagamoyo	100	0.3%
062	Kibaha	16	0.1%
063	Kisarawe	18	0.1%
064	Mkuranga	25	0.1%
065	Rufiji	93	0.3%
066	Mafia	12	0%
071	Kinondoni	97	0.3%
072	Ilala	8	0%
073	Temeke	51	0.2%
081	Kilwa	55	0.2%
082	Lindi Rural	92	0.3%
083	Nachingwea	45	0.2%
084	Liwale	35	0.1%
085	Ruangwa	34	0.1%
086	Lindi Urban	36	0.1%
091	Mtwara Rural	101	0.3%
092	Newala	182	0.6%
093	Masasi	61	0.2%
094	Tandahimba	140	0.5%
095	Mtwara Urban	10	0%
101	Tunduru	109	0.4%
102	Songea Rural	311	1%
103	Mbinga	663	2.2%
104	Songea Urban	135	0.5%
105	Namtumbo	480	1.6%
111	Iringa Rural	63	0.2%
112	Mufindi	89	0.3%
113	Makete	242	0.8%
114	Njombe	310	1%
115	Ludewa	265	0.9%
116	Iringa Urban	7	0%
117	Kilolo	115	0.4%
121	Chunya	94	0.3%
122	Mbeya Rural	234	0.8%
123	Kyela	5	0%
124	Rungwe	52	0.2%
125	Ileje	191	0.6%
126	Mbozi'	171	0.6%
127	Mbarali	172	0.6%
128	Mbeya Urban	140	0.5%
131	Iramba	366	1.2%
132	Singida Rural	399	1.3%
133	Manyoni	160	0.5%
134	Singida Urban	187	0.6%
141	Nzega	323	1.1%
142	Igunga	280	0.9%
143	Uyui	210	0.7%
144	Urambo	176	0.6%
145	Sikonge	207	0.7%
146	Tabora Urban	170	0.6%
151	Mpanda	350	1.2%
152	Sumbawanga Rural	419	1.4%
153	Nkansi	252	0.8%
154	Sumbawanga Urban	245	0.8%
161	Kibondo	553	1.9%
162	Kasulu	166	0.6%
163	Kigoma Rural	211	0.7%
164	Kigoma Urban	43	0.1%
171	Bariadi	214	0.7%
172	Maswa	210	0.7%
173	Shinyanga Rural	230	0.8%
174	Kahama	275	0.9%
175	Bukombe	411	1.4%
176	Meatu	297	1%
177	Shinyanga Urban	258	0.9%
178	Kishapu	344	1.2%
181	Karagwe	327	1.1%
182	Bukoba Rural	338	1.1%
183	Muleba	286	1%
184	Biharamulo	490	1.6%
185	Ngara	508	1.7%
186	Bukoba Urban	39	0.1%
191	Ukerewe	388	1.3%
192	Magu	277	0.9%
193	Nyamagana	0	0%
194	Kwimba	223	0.7%
195	Sengerema	355	1.2%
196	Geita	394	1.3%
197	Misungwi	247	0.8%
198	Ilemela	149	0.5%
201	Tarime	399	1.3%
202	Serengeti	317	1.1%
203	Musoma Rural	349	1.2%
204	Bunda	263	0.9%
205	Musoma Urban	55	0.2%
211	Babati	624	2.1%
212	Hanang	320	1.1%
213	Mbulu	435	1.5%
214	Simanjiro	655	2.2%
215	Kiteto	222	0.7%

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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