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: Agroprocessing and by-productsR082

Overview

Valid: 66768

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

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Categories

Value	Category	Cases
011	Kondoa	793	1.2%
012	Mpwapwa	570	0.9%
013	Kongwa	552	0.8%
014	Dodoma Rural	654	1%
015	Dodoma Urban	729	1.1%
021	Monduli	172	0.3%
022	Arumeru	359	0.5%
023	Arusha	57	0.1%
024	Karatu	358	0.5%
025	Ngorongoro	254	0.4%
031	Rombo	694	1%
032	Mwanga	382	0.6%
033	Same	440	0.7%
034	Moshi Rural	616	0.9%
035	Hai	310	0.5%
036	Moshi Urban	0	0%
041	Lushoto	690	1%
042	Korogwe	410	0.6%
043	Muheza	735	1.1%
044	Tanga	284	0.4%
045	Pangani	355	0.5%
046	Handeni	441	0.7%
047	Kilindi	393	0.6%
051	Kilosa	634	0.9%
052	Morogoro Rural	597	0.9%
053	Kilombero	676	1%
054	Ulanga	754	1.1%
055	Morogoro Urban	438	0.7%
056	Mvomero	424	0.6%
061	Bagamoyo	124	0.2%
062	Kibaha	221	0.3%
063	Kisarawe	465	0.7%
064	Mkuranga	198	0.3%
065	Rufiji	194	0.3%
066	Mafia	118	0.2%
071	Kinondoni	235	0.4%
072	Ilala	1	0%
073	Temeke	209	0.3%
081	Kilwa	454	0.7%
082	Lindi Rural	848	1.3%
083	Nachingwea	850	1.3%
084	Liwale	753	1.1%
085	Ruangwa	689	1%
086	Lindi Urban	114	0.2%
091	Mtwara Rural	649	1%
092	Newala	964	1.4%
093	Masasi	1376	2.1%
094	Tandahimba	735	1.1%
095	Mtwara Urban	113	0.2%
101	Tunduru	1157	1.7%
102	Songea Rural	1035	1.6%
103	Mbinga	967	1.4%
104	Songea Urban	527	0.8%
105	Namtumbo	1108	1.7%
111	Iringa Rural	502	0.8%
112	Mufindi	508	0.8%
113	Makete	689	1%
114	Njombe	492	0.7%
115	Ludewa	646	1%
116	Iringa Urban	90	0.1%
117	Kilolo	452	0.7%
121	Chunya	605	0.9%
122	Mbeya Rural	514	0.8%
123	Kyela	685	1%
124	Rungwe	849	1.3%
125	Ileje	617	0.9%
126	Mbozi'	1035	1.6%
127	Mbarali	440	0.7%
128	Mbeya Urban	379	0.6%
131	Iramba	641	1%
132	Singida Rural	915	1.4%
133	Manyoni	616	0.9%
134	Singida Urban	342	0.5%
141	Nzega	929	1.4%
142	Igunga	665	1%
143	Uyui	810	1.2%
144	Urambo	746	1.1%
145	Sikonge	755	1.1%
146	Tabora Urban	820	1.2%
151	Mpanda	670	1%
152	Sumbawanga Rural	867	1.3%
153	Nkansi	674	1%
154	Sumbawanga Urban	452	0.7%
161	Kibondo	654	1%
162	Kasulu	681	1%
163	Kigoma Rural	724	1.1%
164	Kigoma Urban	131	0.2%
171	Bariadi	578	0.9%
172	Maswa	504	0.8%
173	Shinyanga Rural	1068	1.6%
174	Kahama	1295	1.9%
175	Bukombe	611	0.9%
176	Meatu	714	1.1%
177	Shinyanga Urban	260	0.4%
178	Kishapu	602	0.9%
181	Karagwe	439	0.7%
182	Bukoba Rural	597	0.9%
183	Muleba	519	0.8%
184	Biharamulo	635	1%
185	Ngara	435	0.7%
186	Bukoba Urban	126	0.2%
191	Ukerewe	523	0.8%
192	Magu	599	0.9%
193	Nyamagana	0	0%
194	Kwimba	782	1.2%
195	Sengerema	834	1.2%
196	Geita	888	1.3%
197	Misungwi	756	1.1%
198	Ilemela	478	0.7%
201	Tarime	1143	1.7%
202	Serengeti	821	1.2%
203	Musoma Rural	568	0.9%
204	Bunda	654	1%
205	Musoma Urban	33	0%
211	Babati	429	0.6%
212	Hanang	371	0.6%
213	Mbulu	430	0.6%
214	Simanjiro	211	0.3%
215	Kiteto	395	0.6%

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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