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 extension services R151

Overview

Valid: 84158

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

Questions and instructions

Categories

Value	Category	Cases
011	Kondoa	541	0.6%
012	Mpwapwa	660	0.8%
013	Kongwa	1135	1.3%
014	Dodoma Rural	1153	1.4%
015	Dodoma Urban	1060	1.3%
021	Monduli	504	0.6%
022	Arumeru	748	0.9%
023	Arusha	185	0.2%
024	Karatu	364	0.4%
025	Ngorongoro	200	0.2%
031	Rombo	1190	1.4%
032	Mwanga	1084	1.3%
033	Same	1075	1.3%
034	Moshi Rural	2152	2.6%
035	Hai	1156	1.4%
036	Moshi Urban	0	0%
041	Lushoto	1455	1.7%
042	Korogwe	1866	2.2%
043	Muheza	1315	1.6%
044	Tanga	230	0.3%
045	Pangani	671	0.8%
046	Handeni	490	0.6%
047	Kilindi	546	0.6%
051	Kilosa	620	0.7%
052	Morogoro Rural	290	0.3%
053	Kilombero	601	0.7%
054	Ulanga	746	0.9%
055	Morogoro Urban	195	0.2%
056	Mvomero	711	0.8%
061	Bagamoyo	659	0.8%
062	Kibaha	874	1%
063	Kisarawe	1240	1.5%
064	Mkuranga	615	0.7%
065	Rufiji	494	0.6%
066	Mafia	70	0.1%
071	Kinondoni	784	0.9%
072	Ilala	485	0.6%
073	Temeke	1226	1.5%
081	Kilwa	420	0.5%
082	Lindi Rural	350	0.4%
083	Nachingwea	240	0.3%
084	Liwale	435	0.5%
085	Ruangwa	390	0.5%
086	Lindi Urban	125	0.1%
091	Mtwara Rural	447	0.5%
092	Newala	175	0.2%
093	Masasi	545	0.6%
094	Tandahimba	540	0.6%
095	Mtwara Urban	55	0.1%
101	Tunduru	670	0.8%
102	Songea Rural	469	0.6%
103	Mbinga	1047	1.2%
104	Songea Urban	515	0.6%
105	Namtumbo	1108	1.3%
111	Iringa Rural	1759	2.1%
112	Mufindi	615	0.7%
113	Makete	2441	2.9%
114	Njombe	1035	1.2%
115	Ludewa	889	1.1%
116	Iringa Urban	255	0.3%
117	Kilolo	1699	2%
121	Chunya	1855	2.2%
122	Mbeya Rural	1525	1.8%
123	Kyela	160	0.2%
124	Rungwe	865	1%
125	Ileje	700	0.8%
126	Mbozi'	1180	1.4%
127	Mbarali	250	0.3%
128	Mbeya Urban	1365	1.6%
131	Iramba	1590	1.9%
132	Singida Rural	1105	1.3%
133	Manyoni	670	0.8%
134	Singida Urban	500	0.6%
141	Nzega	539	0.6%
142	Igunga	385	0.5%
143	Uyui	590	0.7%
144	Urambo	570	0.7%
145	Sikonge	529	0.6%
146	Tabora Urban	1450	1.7%
151	Mpanda	430	0.5%
152	Sumbawanga Rural	590	0.7%
153	Nkansi	120	0.1%
154	Sumbawanga Urban	295	0.4%
161	Kibondo	965	1.1%
162	Kasulu	945	1.1%
163	Kigoma Rural	1780	2.1%
164	Kigoma Urban	355	0.4%
171	Bariadi	480	0.6%
172	Maswa	115	0.1%
173	Shinyanga Rural	620	0.7%
174	Kahama	1069	1.3%
175	Bukombe	301	0.4%
176	Meatu	930	1.1%
177	Shinyanga Urban	555	0.7%
178	Kishapu	1140	1.4%
181	Karagwe	65	0.1%
182	Bukoba Rural	1020	1.2%
183	Muleba	633	0.8%
184	Biharamulo	330	0.4%
185	Ngara	230	0.3%
186	Bukoba Urban	275	0.3%
191	Ukerewe	449	0.5%
192	Magu	868	1%
193	Nyamagana	0	0%
194	Kwimba	410	0.5%
195	Sengerema	335	0.4%
196	Geita	220	0.3%
197	Misungwi	490	0.6%
198	Ilemela	890	1.1%
201	Tarime	545	0.6%
202	Serengeti	450	0.5%
203	Musoma Rural	1055	1.3%
204	Bunda	1210	1.4%
205	Musoma Urban	55	0.1%
211	Babati	615	0.7%
212	Hanang	614	0.7%
213	Mbulu	286	0.3%
214	Simanjiro	591	0.7%
215	Kiteto	390	0.5%

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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