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: marketing problem R102

Overview

Valid: 522462

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

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Categories

Value	Category	Cases
011	Kondoa	7117	1.4%
012	Mpwapwa	4160	0.8%
013	Kongwa	3344	0.6%
014	Dodoma Rural	3888	0.7%
015	Dodoma Urban	2592	0.5%
021	Monduli	2022	0.4%
022	Arumeru	4989	1%
023	Arusha	576	0.1%
024	Karatu	3711	0.7%
025	Ngorongoro	1504	0.3%
031	Rombo	5760	1.1%
032	Mwanga	4005	0.8%
033	Same	4192	0.8%
034	Moshi Rural	7936	1.5%
035	Hai	4478	0.9%
036	Moshi Urban	0	0%
041	Lushoto	7712	1.5%
042	Korogwe	4600	0.9%
043	Muheza	7958	1.5%
044	Tanga	3760	0.7%
045	Pangani	4078	0.8%
046	Handeni	4592	0.9%
047	Kilindi	4832	0.9%
051	Kilosa	5712	1.1%
052	Morogoro Rural	4907	0.9%
053	Kilombero	5631	1.1%
054	Ulanga	4784	0.9%
055	Morogoro Urban	4524	0.9%
056	Mvomero	4384	0.8%
061	Bagamoyo	2057	0.4%
062	Kibaha	3072	0.6%
063	Kisarawe	3968	0.8%
064	Mkuranga	5200	1%
065	Rufiji	3967	0.8%
066	Mafia	3744	0.7%
071	Kinondoni	2416	0.5%
072	Ilala	1232	0.2%
073	Temeke	4608	0.9%
081	Kilwa	4800	0.9%
082	Lindi Rural	4640	0.9%
083	Nachingwea	4816	0.9%
084	Liwale	5584	1.1%
085	Ruangwa	4400	0.8%
086	Lindi Urban	640	0.1%
091	Mtwara Rural	4720	0.9%
092	Newala	5040	1%
093	Masasi	5856	1.1%
094	Tandahimba	5008	1%
095	Mtwara Urban	656	0.1%
101	Tunduru	6912	1.3%
102	Songea Rural	5918	1.1%
103	Mbinga	8732	1.7%
104	Songea Urban	3360	0.6%
105	Namtumbo	6108	1.2%
111	Iringa Rural	3664	0.7%
112	Mufindi	3983	0.8%
113	Makete	7853	1.5%
114	Njombe	5196	1%
115	Ludewa	4368	0.8%
116	Iringa Urban	480	0.1%
117	Kilolo	5068	1%
121	Chunya	2768	0.5%
122	Mbeya Rural	6079	1.2%
123	Kyela	5488	1.1%
124	Rungwe	8624	1.7%
125	Ileje	5423	1%
126	Mbozi'	8432	1.6%
127	Mbarali	3440	0.7%
128	Mbeya Urban	4368	0.8%
131	Iramba	2864	0.5%
132	Singida Rural	4832	0.9%
133	Manyoni	3392	0.6%
134	Singida Urban	1104	0.2%
141	Nzega	3022	0.6%
142	Igunga	3120	0.6%
143	Uyui	3408	0.7%
144	Urambo	5776	1.1%
145	Sikonge	3996	0.8%
146	Tabora Urban	2960	0.6%
151	Mpanda	5584	1.1%
152	Sumbawanga Rural	8304	1.6%
153	Nkansi	5136	1%
154	Sumbawanga Urban	5072	1%
161	Kibondo	4240	0.8%
162	Kasulu	6096	1.2%
163	Kigoma Rural	5936	1.1%
164	Kigoma Urban	1040	0.2%
171	Bariadi	4768	0.9%
172	Maswa	5120	1%
173	Shinyanga Rural	3152	0.6%
174	Kahama	5616	1.1%
175	Bukombe	3867	0.7%
176	Meatu	3824	0.7%
177	Shinyanga Urban	400	0.1%
178	Kishapu	3648	0.7%
181	Karagwe	6656	1.3%
182	Bukoba Rural	8864	1.7%
183	Muleba	6164	1.2%
184	Biharamulo	6224	1.2%
185	Ngara	5296	1%
186	Bukoba Urban	1152	0.2%
191	Ukerewe	4539	0.9%
192	Magu	5383	1%
193	Nyamagana	0	0%
194	Kwimba	4448	0.9%
195	Sengerema	5584	1.1%
196	Geita	6896	1.3%
197	Misungwi	4320	0.8%
198	Ilemela	2463	0.5%
201	Tarime	6544	1.3%
202	Serengeti	5008	1%
203	Musoma Rural	4896	0.9%
204	Bunda	4352	0.8%
205	Musoma Urban	160	0%
211	Babati	5152	1%
212	Hanang	3360	0.6%
213	Mbulu	3088	0.6%
214	Simanjiro	1632	0.3%
215	Kiteto	3568	0.7%

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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