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

Last modified

Oct 24, 2019

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District (District)

Data file: other Livestock R230

Overview

Valid: 434796

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

Questions and instructions

Categories

Value	Category	Cases
011	Kondoa	5400	1.2%
012	Mpwapwa	3637	0.8%
013	Kongwa	3629	0.8%
014	Dodoma Rural	4034	0.9%
015	Dodoma Urban	3620	0.8%
021	Monduli	3645	0.8%
022	Arumeru	4042	0.9%
023	Arusha	540	0.1%
024	Karatu	3637	0.8%
025	Ngorongoro	3645	0.8%
031	Rombo	3645	0.8%
032	Mwanga	3637	0.8%
033	Same	3645	0.8%
034	Moshi Rural	5378	1.2%
035	Hai	3637	0.8%
036	Moshi Urban	0	0%
041	Lushoto	5400	1.2%
042	Korogwe	4033	0.9%
043	Muheza	5384	1.2%
044	Tanga	3203	0.7%
045	Pangani	3223	0.7%
046	Handeni	4050	0.9%
047	Kilindi	3636	0.8%
051	Kilosa	5392	1.2%
052	Morogoro Rural	4049	0.9%
053	Kilombero	3645	0.8%
054	Ulanga	3645	0.8%
055	Morogoro Urban	3367	0.8%
056	Mvomero	3645	0.8%
061	Bagamoyo	3645	0.8%
062	Kibaha	3645	0.8%
063	Kisarawe	3645	0.8%
064	Mkuranga	4050	0.9%
065	Rufiji	3645	0.8%
066	Mafia	2682	0.6%
071	Kinondoni	2700	0.6%
072	Ilala	1350	0.3%
073	Temeke	3105	0.7%
081	Kilwa	3636	0.8%
082	Lindi Rural	4042	0.9%
083	Nachingwea	3628	0.8%
084	Liwale	3597	0.8%
085	Ruangwa	3645	0.8%
086	Lindi Urban	810	0.2%
091	Mtwara Rural	4042	0.9%
092	Newala	4033	0.9%
093	Masasi	5400	1.2%
094	Tandahimba	4050	0.9%
095	Mtwara Urban	810	0.2%
101	Tunduru	4050	0.9%
102	Songea Rural	3645	0.8%
103	Mbinga	5400	1.2%
104	Songea Urban	2295	0.5%
105	Namtumbo	3645	0.8%
111	Iringa Rural	4050	0.9%
112	Mufindi	4050	0.9%
113	Makete	5400	1.2%
114	Njombe	3645	0.8%
115	Ludewa	3645	0.8%
116	Iringa Urban	810	0.2%
117	Kilolo	3645	0.8%
121	Chunya	3637	0.8%
122	Mbeya Rural	4050	0.9%
123	Kyela	3645	0.8%
124	Rungwe	5392	1.2%
125	Ileje	3645	0.8%
126	Mbozi'	5400	1.2%
127	Mbarali	3645	0.8%
128	Mbeya Urban	3240	0.7%
131	Iramba	4050	0.9%
132	Singida Rural	5400	1.2%
133	Manyoni	3645	0.8%
134	Singida Urban	2430	0.6%
141	Nzega	4050	0.9%
142	Igunga	3645	0.8%
143	Uyui	3645	0.8%
144	Urambo	4050	0.9%
145	Sikonge	3627	0.8%
146	Tabora Urban	3637	0.8%
151	Mpanda	4050	0.9%
152	Sumbawanga Rural	5400	1.2%
153	Nkansi	3645	0.8%
154	Sumbawanga Urban	3510	0.8%
161	Kibondo	3645	0.8%
162	Kasulu	3645	0.8%
163	Kigoma Rural	3645	0.8%
164	Kigoma Urban	675	0.2%
171	Bariadi	4050	0.9%
172	Maswa	3645	0.8%
173	Shinyanga Rural	4050	0.9%
174	Kahama	5400	1.2%
175	Bukombe	4050	0.9%
176	Meatu	3645	0.8%
177	Shinyanga Urban	3105	0.7%
178	Kishapu	4050	0.9%
181	Karagwe	4050	0.9%
182	Bukoba Rural	5400	1.2%
183	Muleba	4050	0.9%
184	Biharamulo	4050	0.9%
185	Ngara	3645	0.8%
186	Bukoba Urban	1080	0.2%
191	Ukerewe	3645	0.8%
192	Magu	4050	0.9%
193	Nyamagana	0	0%
194	Kwimba	4050	0.9%
195	Sengerema	4050	0.9%
196	Geita	5400	1.2%
197	Misungwi	3645	0.8%
198	Ilemela	2430	0.6%
201	Tarime	5400	1.2%
202	Serengeti	3645	0.8%
203	Musoma Rural	4050	0.9%
204	Bunda	3645	0.8%
205	Musoma Urban	405	0.1%
211	Babati	3600	0.8%
212	Hanang	3645	0.8%
213	Mbulu	3645	0.8%
214	Simanjiro	3645	0.8%
215	Kiteto	3645	0.8%

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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