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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Sep 15, 2026

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District (District)

Data file: Livestock Pest and Parasite control R220

Overview

Valid: 48345

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

Questions and instructions

Categories

Value	Category	Cases
011	Kondoa	600	1.2%
012	Mpwapwa	405	0.8%
013	Kongwa	405	0.8%
014	Dodoma Rur	450	0.9%
015	Dodoma Urb	404	0.8%
021	Monduli	405	0.8%
022	Arumeru	450	0.9%
023	Arusha	60	0.1%
024	Karatu	405	0.8%
025	Ngorongoro	405	0.8%
031	Rombo	405	0.8%
032	Mwanga	405	0.8%
033	Same	405	0.8%
034	Moshi Rur	600	1.2%
035	Hai	405	0.8%
041	Lushoto	600	1.2%
042	Korogwe	449	0.9%
043	Muheza	600	1.2%
044	Tanga	360	0.7%
045	Pangani	360	0.7%
046	Handeni	450	0.9%
047	Kilindi	404	0.8%
051	Kilosa	600	1.2%
052	Morogoro	450	0.9%
053	Kilombero	405	0.8%
054	Ulanga	405	0.8%
055	Morogoro Urb	375	0.8%
056	Mvomero	405	0.8%
061	Bagamoyo	405	0.8%
062	Kibaha	405	0.8%
063	Kisarawe	405	0.8%
064	Mkuranga	450	0.9%
065	Rufiji	405	0.8%
066	Mafia	298	0.6%
071	Kinondoni	300	0.6%
072	Ilala	150	0.3%
073	Temeke	345	0.7%
081	Kilwa	404	0.8%
082	Lindi Rur	450	0.9%
083	Nachingwea	404	0.8%
084	Liwale	405	0.8%
085	Ruangwa	405	0.8%
086	Lindi Urb	90	0.2%
091	Mtwara Rur	450	0.9%
092	Newala	449	0.9%
093	Masasi	600	1.2%
094	Tandahimba	450	0.9%
095	Mtwara Urb	90	0.2%
101	Tunduru	450	0.9%
102	Songea Rur	405	0.8%
103	Mbinga	600	1.2%
104	Songea Urb	255	0.5%
105	Namtumbo	405	0.8%
111	Iringa Rur	450	0.9%
112	Mufindi	450	0.9%
113	Njombe	600	1.2%
114	Ludewa	405	0.8%
115	Makete	405	0.8%
116	Iringa Urb	90	0.2%
117	Kilolo	405	0.8%
121	Chunya	405	0.8%
122	Mbeya Rur	450	0.9%
123	Kyela	405	0.8%
124	Rungwe	600	1.2%
125	Ileje	405	0.8%
126	Mbozi	600	1.2%
127	Mbarali	405	0.8%
128	Mbeya Urb	360	0.7%
131	Iramba	450	0.9%
132	Singida Rur	600	1.2%
133	Manyoni	405	0.8%
134	Singida Urb	270	0.6%
141	Nzega	450	0.9%
142	Igunga	405	0.8%
143	Uyui	405	0.8%
144	Urambo	450	0.9%
145	Sikonge	403	0.8%
146	Tabora Urb	405	0.8%
151	Mpanda	450	0.9%
152	Sumbawanga Rur	600	1.2%
153	Nkasi	405	0.8%
154	Sumbawanga Urb	390	0.8%
161	Kibondo	405	0.8%
162	Kasulu	405	0.8%
163	Kigoma Rur	405	0.8%
164	Kigoma Urb	75	0.2%
171	Bariadi	450	0.9%
172	Maswa	405	0.8%
173	Shinyanga Rur	450	0.9%
174	Kahama	600	1.2%
175	Bukombe	450	0.9%
176	Meatu	405	0.8%
177	Shinyanga Urb	345	0.7%
178	Kishapu	450	0.9%
181	Karagwe	450	0.9%
182	Bukoba Rur	600	1.2%
183	Muleba	450	0.9%
184	Biharamulo	450	0.9%
185	Ngara	405	0.8%
186	Bukoba Urb	120	0.2%
191	Ukerewe	405	0.8%
192	Magu	450	0.9%
194	Kwimba	450	0.9%
195	Sengerema	450	0.9%
196	Geita	600	1.2%
197	Missungwi	405	0.8%
198	Ilemela	270	0.6%
201	Tarime	600	1.2%
202	Serengeti	405	0.8%
203	Musoma Rur	450	0.9%
204	Bunda	405	0.8%
205	Musoma Urb	45	0.1%
211	Babati	400	0.8%
212	Hanang	405	0.8%
213	Mbulu	405	0.8%
214	Simanjiro	405	0.8%
215	Kiteto	405	0.8%
511	Kaskazini-A	0	0%
512	Kaskazini-B	0	0%
521	Kati	0	0%
522	Kusini	0	0%
531	Magharibi	0	0%
541	Wete	0	0%
542	Micheweni	0	0%
551	Chake	0	0%
552	Mkoani	0	0%

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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