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: household information R031

Overview

Valid: 248219

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

Questions and instructions

Categories

Value	Category	Cases
011	Kondoa	2933	1.2%
012	Mpwapwa	1899	0.8%
013	Kongwa	2135	0.9%
014	Dodoma Rural	1906	0.8%
015	Dodoma Urban	1787	0.7%
021	Monduli	2280	0.9%
022	Arumeru	2428	1%
023	Arusha	288	0.1%
024	Karatu	2352	0.9%
025	Ngorongoro	1979	0.8%
031	Rombo	2443	1%
032	Mwanga	2152	0.9%
033	Same	1999	0.8%
034	Moshi Rural	2964	1.2%
035	Hai	1926	0.8%
036	Moshi Urban	0	0%
041	Lushoto	2815	1.1%
042	Korogwe	2231	0.9%
043	Muheza	2827	1.1%
044	Tanga	1729	0.7%
045	Pangani	1503	0.6%
046	Handeni	2418	1%
047	Kilindi	2150	0.9%
051	Kilosa	2558	1%
052	Morogoro Rural	2234	0.9%
053	Kilombero	2044	0.8%
054	Ulanga	2102	0.8%
055	Morogoro Urban	1592	0.6%
056	Mvomero	1878	0.8%
061	Bagamoyo	2072	0.8%
062	Kibaha	1860	0.7%
063	Kisarawe	1870	0.8%
064	Mkuranga	2319	0.9%
065	Rufiji	2175	0.9%
066	Mafia	1323	0.5%
071	Kinondoni	1391	0.6%
072	Ilala	769	0.3%
073	Temeke	1727	0.7%
081	Kilwa	1920	0.8%
082	Lindi Rural	1813	0.7%
083	Nachingwea	1619	0.7%
084	Liwale	2091	0.8%
085	Ruangwa	1551	0.6%
086	Lindi Urban	383	0.2%
091	Mtwara Rural	1906	0.8%
092	Newala	1668	0.7%
093	Masasi	2388	1%
094	Tandahimba	1950	0.8%
095	Mtwara Urban	392	0.2%
101	Tunduru	2099	0.8%
102	Songea Rural	1865	0.8%
103	Mbinga	2660	1.1%
104	Songea Urban	1224	0.5%
105	Namtumbo	2156	0.9%
111	Iringa Rural	1944	0.8%
112	Mufindi	2170	0.9%
113	Makete	2537	1%
114	Njombe	1910	0.8%
115	Ludewa	1446	0.6%
116	Iringa Urban	330	0.1%
117	Kilolo	1955	0.8%
121	Chunya	1710	0.7%
122	Mbeya Rural	1972	0.8%
123	Kyela	1684	0.7%
124	Rungwe	2440	1%
125	Ileje	1689	0.7%
126	Mbozi'	2711	1.1%
127	Mbarali	1751	0.7%
128	Mbeya Urban	1795	0.7%
131	Iramba	2495	1%
132	Singida Rural	2942	1.2%
133	Manyoni	2131	0.9%
134	Singida Urban	1433	0.6%
141	Nzega	2367	1%
142	Igunga	2782	1.1%
143	Uyui	2637	1.1%
144	Urambo	2724	1.1%
145	Sikonge	2336	0.9%
146	Tabora Urban	2186	0.9%
151	Mpanda	2706	1.1%
152	Sumbawanga Rural	3090	1.2%
153	Nkansi	2088	0.8%
154	Sumbawanga Urban	2106	0.8%
161	Kibondo	2091	0.8%
162	Kasulu	2189	0.9%
163	Kigoma Rural	2379	1%
164	Kigoma Urban	435	0.2%
171	Bariadi	3033	1.2%
172	Maswa	2535	1%
173	Shinyanga Rural	2777	1.1%
174	Kahama	3641	1.5%
175	Bukombe	2895	1.2%
176	Meatu	2990	1.2%
177	Shinyanga Urban	1854	0.7%
178	Kishapu	2914	1.2%
181	Karagwe	2282	0.9%
182	Bukoba Rural	2650	1.1%
183	Muleba	2039	0.8%
184	Biharamulo	2808	1.1%
185	Ngara	1881	0.8%
186	Bukoba Urban	599	0.2%
191	Ukerewe	2533	1%
192	Magu	2713	1.1%
193	Nyamagana	0	0%
194	Kwimba	2658	1.1%
195	Sengerema	3040	1.2%
196	Geita	3891	1.6%
197	Misungwi	2454	1%
198	Ilemela	1426	0.6%
201	Tarime	2933	1.2%
202	Serengeti	2477	1%
203	Musoma Rural	2995	1.2%
204	Bunda	2686	1.1%
205	Musoma Urban	289	0.1%
211	Babati	1963	0.8%
212	Hanang	2489	1%
213	Mbulu	2626	1.1%
214	Simanjiro	2116	0.9%
215	Kiteto	2128	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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