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: crop storage R092

Overview

Valid: 382252

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

Questions and instructions

Categories

Value	Category	Cases
011	Kondoa	4348	1.1%
012	Mpwapwa	2880	0.8%
013	Kongwa	2370	0.6%
014	Dodoma Rural	2211	0.6%
015	Dodoma Urban	3079	0.8%
021	Monduli	1800	0.5%
022	Arumeru	3490	0.9%
023	Arusha	550	0.1%
024	Karatu	3540	0.9%
025	Ngorongoro	2322	0.6%
031	Rombo	2910	0.8%
032	Mwanga	2330	0.6%
033	Same	2420	0.6%
034	Moshi Rural	3840	1%
035	Hai	2829	0.7%
036	Moshi Urban	0	0%
041	Lushoto	5700	1.5%
042	Korogwe	3550	0.9%
043	Muheza	5000	1.3%
044	Tanga	1790	0.5%
045	Pangani	2500	0.7%
046	Handeni	3860	1%
047	Kilindi	3680	1%
051	Kilosa	4870	1.3%
052	Morogoro Rural	3533	0.9%
053	Kilombero	3860	1%
054	Ulanga	3570	0.9%
055	Morogoro Urban	2861	0.7%
056	Mvomero	3330	0.9%
061	Bagamoyo	1609	0.4%
062	Kibaha	930	0.2%
063	Kisarawe	2000	0.5%
064	Mkuranga	580	0.2%
065	Rufiji	1220	0.3%
066	Mafia	1270	0.3%
071	Kinondoni	1390	0.4%
072	Ilala	400	0.1%
073	Temeke	1770	0.5%
081	Kilwa	1270	0.3%
082	Lindi Rural	3190	0.8%
083	Nachingwea	3640	1%
084	Liwale	2830	0.7%
085	Ruangwa	2620	0.7%
086	Lindi Urban	190	0%
091	Mtwara Rural	2100	0.5%
092	Newala	3980	1%
093	Masasi	5120	1.3%
094	Tandahimba	2620	0.7%
095	Mtwara Urban	360	0.1%
101	Tunduru	4370	1.1%
102	Songea Rural	4000	1%
103	Mbinga	5560	1.5%
104	Songea Urban	2480	0.6%
105	Namtumbo	3890	1%
111	Iringa Rural	3980	1%
112	Mufindi	4170	1.1%
113	Makete	5849	1.5%
114	Njombe	3600	0.9%
115	Ludewa	3720	1%
116	Iringa Urban	700	0.2%
117	Kilolo	3840	1%
121	Chunya	3330	0.9%
122	Mbeya Rural	3870	1%
123	Kyela	3740	1%
124	Rungwe	5600	1.5%
125	Ileje	3940	1%
126	Mbozi'	5860	1.5%
127	Mbarali	3030	0.8%
128	Mbeya Urban	3510	0.9%
131	Iramba	3831	1%
132	Singida Rural	5700	1.5%
133	Manyoni	3720	1%
134	Singida Urban	2350	0.6%
141	Nzega	4270	1.1%
142	Igunga	3300	0.9%
143	Uyui	3729	1%
144	Urambo	4330	1.1%
145	Sikonge	3979	1%
146	Tabora Urban	3820	1%
151	Mpanda	4430	1.2%
152	Sumbawanga Rural	5610	1.5%
153	Nkansi	3680	1%
154	Sumbawanga Urban	3770	1%
161	Kibondo	3960	1%
162	Kasulu	3950	1%
163	Kigoma Rural	3710	1%
164	Kigoma Urban	670	0.2%
171	Bariadi	3790	1%
172	Maswa	2410	0.6%
173	Shinyanga Rural	4150	1.1%
174	Kahama	5770	1.5%
175	Bukombe	4040	1.1%
176	Meatu	3240	0.8%
177	Shinyanga Urban	2160	0.6%
178	Kishapu	3310	0.9%
181	Karagwe	4100	1.1%
182	Bukoba Rural	5490	1.4%
183	Muleba	4150	1.1%
184	Biharamulo	3810	1%
185	Ngara	3680	1%
186	Bukoba Urban	1060	0.3%
191	Ukerewe	1490	0.4%
192	Magu	3959	1%
193	Nyamagana	0	0%
194	Kwimba	3950	1%
195	Sengerema	4350	1.1%
196	Geita	5800	1.5%
197	Misungwi	3780	1%
198	Ilemela	2452	0.6%
201	Tarime	4270	1.1%
202	Serengeti	3651	1%
203	Musoma Rural	2570	0.7%
204	Bunda	3430	0.9%
205	Musoma Urban	140	0%
211	Babati	3670	1%
212	Hanang	3130	0.8%
213	Mbulu	3170	0.8%
214	Simanjiro	1700	0.4%
215	Kiteto	3620	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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