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

Last modified

Oct 24, 2019

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District (District)

Data file: related to respondent and household head R122_00

Overview

Valid: 483450

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

Questions and instructions

Categories

Value	Category	Cases
011	Kondoa	6000	1.2%
012	Mpwapwa	4050	0.8%
013	Kongwa	4050	0.8%
014	Dodoma Rur	4500	0.9%
015	Dodoma Urb	4040	0.8%
021	Monduli	4050	0.8%
022	Arumeru	4500	0.9%
023	Arusha	600	0.1%
024	Karatu	4050	0.8%
025	Ngorongoro	4050	0.8%
031	Rombo	4050	0.8%
032	Mwanga	4050	0.8%
033	Same	4050	0.8%
034	Moshi Rur	6000	1.2%
035	Hai	4050	0.8%
041	Lushoto	6000	1.2%
042	Korogwe	4490	0.9%
043	Muheza	6000	1.2%
044	Tanga	3600	0.7%
045	Pangani	3600	0.7%
046	Handeni	4500	0.9%
047	Kilindi	4040	0.8%
051	Kilosa	6000	1.2%
052	Morogoro	4500	0.9%
053	Kilombero	4050	0.8%
054	Ulanga	4050	0.8%
055	Morogoro Urb	3750	0.8%
056	Mvomero	4050	0.8%
061	Bagamoyo	4050	0.8%
062	Kibaha	4050	0.8%
063	Kisarawe	4050	0.8%
064	Mkuranga	4500	0.9%
065	Rufiji	4050	0.8%
066	Mafia	2980	0.6%
071	Kinondoni	3000	0.6%
072	Ilala	1500	0.3%
073	Temeke	3450	0.7%
081	Kilwa	4040	0.8%
082	Lindi Rur	4500	0.9%
083	Nachingwea	4040	0.8%
084	Liwale	4050	0.8%
085	Ruangwa	4050	0.8%
086	Lindi Urb	900	0.2%
091	Mtwara Rur	4500	0.9%
092	Newala	4490	0.9%
093	Masasi	6000	1.2%
094	Tandahimba	4500	0.9%
095	Mtwara Urb	900	0.2%
101	Tunduru	4500	0.9%
102	Songea Rur	4050	0.8%
103	Mbinga	6000	1.2%
104	Songea Urb	2550	0.5%
105	Namtumbo	4050	0.8%
111	Iringa Rur	4500	0.9%
112	Mufindi	4500	0.9%
113	Njombe	6000	1.2%
114	Ludewa	4050	0.8%
115	Makete	4050	0.8%
116	Iringa Urb	900	0.2%
117	Kilolo	4050	0.8%
121	Chunya	4050	0.8%
122	Mbeya Rur	4500	0.9%
123	Kyela	4050	0.8%
124	Rungwe	6000	1.2%
125	Ileje	4050	0.8%
126	Mbozi	6000	1.2%
127	Mbarali	4050	0.8%
128	Mbeya Urb	3600	0.7%
131	Iramba	4500	0.9%
132	Singida Rur	6000	1.2%
133	Manyoni	4050	0.8%
134	Singida Urb	2700	0.6%
141	Nzega	4500	0.9%
142	Igunga	4050	0.8%
143	Uyui	4050	0.8%
144	Urambo	4500	0.9%
145	Sikonge	4030	0.8%
146	Tabora Urb	4050	0.8%
151	Mpanda	4500	0.9%
152	Sumbawanga Rur	6000	1.2%
153	Nkasi	4050	0.8%
154	Sumbawanga Urb	3900	0.8%
161	Kibondo	4050	0.8%
162	Kasulu	4050	0.8%
163	Kigoma Rur	4050	0.8%
164	Kigoma Urb	750	0.2%
171	Bariadi	4500	0.9%
172	Maswa	4050	0.8%
173	Shinyanga Rur	4500	0.9%
174	Kahama	6000	1.2%
175	Bukombe	4500	0.9%
176	Meatu	4050	0.8%
177	Shinyanga Urb	3450	0.7%
178	Kishapu	4500	0.9%
181	Karagwe	4500	0.9%
182	Bukoba Rur	6000	1.2%
183	Muleba	4500	0.9%
184	Biharamulo	4500	0.9%
185	Ngara	4050	0.8%
186	Bukoba Urb	1200	0.2%
191	Ukerewe	4050	0.8%
192	Magu	4500	0.9%
194	Kwimba	4500	0.9%
195	Sengerema	4500	0.9%
196	Geita	6000	1.2%
197	Missungwi	4050	0.8%
198	Ilemela	2700	0.6%
201	Tarime	6000	1.2%
202	Serengeti	4050	0.8%
203	Musoma Rur	4500	0.9%
204	Bunda	4050	0.8%
205	Musoma Urb	450	0.1%
211	Babati	4000	0.8%
212	Hanang	4050	0.8%
213	Mbulu	4050	0.8%
214	Simanjiro	4050	0.8%
215	Kiteto	4050	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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