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 offtake R194

Overview

Valid: 28280

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

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Categories

Value	Category	Cases
011	Kondoa	688	2.4%
012	Mpwapwa	234	0.8%
013	Kongwa	215	0.8%
014	Dodoma Rural	226	0.8%
015	Dodoma Urban	182	0.6%
021	Monduli	1570	5.6%
022	Arumeru	994	3.5%
023	Arusha	150	0.5%
024	Karatu	884	3.1%
025	Ngorongoro	1050	3.7%
031	Rombo	479	1.7%
032	Mwanga	199	0.7%
033	Same	192	0.7%
034	Moshi Rural	536	1.9%
035	Hai	285	1%
036	Moshi Urban	0	0%
041	Lushoto	192	0.7%
042	Korogwe	194	0.7%
043	Muheza	255	0.9%
044	Tanga	145	0.5%
045	Pangani	156	0.6%
046	Handeni	297	1.1%
047	Kilindi	234	0.8%
051	Kilosa	127	0.4%
052	Morogoro Rural	291	1%
053	Kilombero	41	0.1%
054	Ulanga	43	0.2%
055	Morogoro Urban	91	0.3%
056	Mvomero	88	0.3%
061	Bagamoyo	98	0.3%
062	Kibaha	19	0.1%
063	Kisarawe	17	0.1%
064	Mkuranga	21	0.1%
065	Rufiji	94	0.3%
066	Mafia	9	0%
071	Kinondoni	90	0.3%
072	Ilala	7	0%
073	Temeke	48	0.2%
081	Kilwa	47	0.2%
082	Lindi Rural	92	0.3%
083	Nachingwea	46	0.2%
084	Liwale	39	0.1%
085	Ruangwa	35	0.1%
086	Lindi Urban	40	0.1%
091	Mtwara Rural	110	0.4%
092	Newala	207	0.7%
093	Masasi	46	0.2%
094	Tandahimba	118	0.4%
095	Mtwara Urban	9	0%
101	Tunduru	96	0.3%
102	Songea Rural	277	1%
103	Mbinga	608	2.1%
104	Songea Urban	125	0.4%
105	Namtumbo	446	1.6%
111	Iringa Rural	66	0.2%
112	Mufindi	74	0.3%
113	Makete	243	0.9%
114	Njombe	307	1.1%
115	Ludewa	271	1%
116	Iringa Urban	5	0%
117	Kilolo	104	0.4%
121	Chunya	82	0.3%
122	Mbeya Rural	148	0.5%
123	Kyela	3	0%
124	Rungwe	48	0.2%
125	Ileje	172	0.6%
126	Mbozi'	129	0.5%
127	Mbarali	151	0.5%
128	Mbeya Urban	106	0.4%
131	Iramba	373	1.3%
132	Singida Rural	394	1.4%
133	Manyoni	134	0.5%
134	Singida Urban	179	0.6%
141	Nzega	333	1.2%
142	Igunga	289	1%
143	Uyui	197	0.7%
144	Urambo	173	0.6%
145	Sikonge	216	0.8%
146	Tabora Urban	145	0.5%
151	Mpanda	167	0.6%
152	Sumbawanga Rural	242	0.9%
153	Nkansi	130	0.5%
154	Sumbawanga Urban	135	0.5%
161	Kibondo	403	1.4%
162	Kasulu	184	0.7%
163	Kigoma Rural	185	0.7%
164	Kigoma Urban	34	0.1%
171	Bariadi	197	0.7%
172	Maswa	210	0.7%
173	Shinyanga Rural	201	0.7%
174	Kahama	285	1%
175	Bukombe	404	1.4%
176	Meatu	352	1.2%
177	Shinyanga Urban	252	0.9%
178	Kishapu	290	1%
181	Karagwe	323	1.1%
182	Bukoba Rural	335	1.2%
183	Muleba	289	1%
184	Biharamulo	439	1.6%
185	Ngara	491	1.7%
186	Bukoba Urban	37	0.1%
191	Ukerewe	375	1.3%
192	Magu	261	0.9%
193	Nyamagana	0	0%
194	Kwimba	208	0.7%
195	Sengerema	309	1.1%
196	Geita	334	1.2%
197	Misungwi	240	0.8%
198	Ilemela	135	0.5%
201	Tarime	378	1.3%
202	Serengeti	312	1.1%
203	Musoma Rural	337	1.2%
204	Bunda	218	0.8%
205	Musoma Urban	55	0.2%
211	Babati	626	2.2%
212	Hanang	334	1.2%
213	Mbulu	399	1.4%
214	Simanjiro	788	2.8%
215	Kiteto	262	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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