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: marketing problem R103

Overview

Valid: 163310

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

Questions and instructions

Categories

Value	Category	Cases
011	Kondoa	2225	1.4%
012	Mpwapwa	1300	0.8%
013	Kongwa	1045	0.6%
014	Dodoma Rural	1215	0.7%
015	Dodoma Urban	810	0.5%
021	Monduli	635	0.4%
022	Arumeru	1560	1%
023	Arusha	180	0.1%
024	Karatu	1160	0.7%
025	Ngorongoro	470	0.3%
031	Rombo	1800	1.1%
032	Mwanga	1255	0.8%
033	Same	1310	0.8%
034	Moshi Rural	2480	1.5%
035	Hai	1400	0.9%
036	Moshi Urban	0	0%
041	Lushoto	2410	1.5%
042	Korogwe	1440	0.9%
043	Muheza	2490	1.5%
044	Tanga	1175	0.7%
045	Pangani	1275	0.8%
046	Handeni	1435	0.9%
047	Kilindi	1510	0.9%
051	Kilosa	1785	1.1%
052	Morogoro Rural	1535	0.9%
053	Kilombero	1760	1.1%
054	Ulanga	1495	0.9%
055	Morogoro Urban	1415	0.9%
056	Mvomero	1370	0.8%
061	Bagamoyo	645	0.4%
062	Kibaha	960	0.6%
063	Kisarawe	1240	0.8%
064	Mkuranga	1625	1%
065	Rufiji	1240	0.8%
066	Mafia	1170	0.7%
071	Kinondoni	755	0.5%
072	Ilala	385	0.2%
073	Temeke	1440	0.9%
081	Kilwa	1500	0.9%
082	Lindi Rural	1450	0.9%
083	Nachingwea	1505	0.9%
084	Liwale	1745	1.1%
085	Ruangwa	1375	0.8%
086	Lindi Urban	200	0.1%
091	Mtwara Rural	1475	0.9%
092	Newala	1575	1%
093	Masasi	1830	1.1%
094	Tandahimba	1565	1%
095	Mtwara Urban	205	0.1%
101	Tunduru	2160	1.3%
102	Songea Rural	1850	1.1%
103	Mbinga	2730	1.7%
104	Songea Urban	1050	0.6%
105	Namtumbo	1910	1.2%
111	Iringa Rural	1145	0.7%
112	Mufindi	1245	0.8%
113	Makete	2455	1.5%
114	Njombe	1625	1%
115	Ludewa	1365	0.8%
116	Iringa Urban	150	0.1%
117	Kilolo	1585	1%
121	Chunya	865	0.5%
122	Mbeya Rural	1900	1.2%
123	Kyela	1715	1.1%
124	Rungwe	2695	1.7%
125	Ileje	1695	1%
126	Mbozi'	2635	1.6%
127	Mbarali	1075	0.7%
128	Mbeya Urban	1365	0.8%
131	Iramba	895	0.5%
132	Singida Rural	1510	0.9%
133	Manyoni	1060	0.6%
134	Singida Urban	345	0.2%
141	Nzega	945	0.6%
142	Igunga	975	0.6%
143	Uyui	1065	0.7%
144	Urambo	1805	1.1%
145	Sikonge	1250	0.8%
146	Tabora Urban	925	0.6%
151	Mpanda	1745	1.1%
152	Sumbawanga Rural	2595	1.6%
153	Nkansi	1605	1%
154	Sumbawanga Urban	1585	1%
161	Kibondo	1325	0.8%
162	Kasulu	1905	1.2%
163	Kigoma Rural	1855	1.1%
164	Kigoma Urban	325	0.2%
171	Bariadi	1490	0.9%
172	Maswa	1600	1%
173	Shinyanga Rural	985	0.6%
174	Kahama	1755	1.1%
175	Bukombe	1210	0.7%
176	Meatu	1195	0.7%
177	Shinyanga Urban	125	0.1%
178	Kishapu	1140	0.7%
181	Karagwe	2080	1.3%
182	Bukoba Rural	2770	1.7%
183	Muleba	1930	1.2%
184	Biharamulo	1945	1.2%
185	Ngara	1655	1%
186	Bukoba Urban	360	0.2%
191	Ukerewe	1420	0.9%
192	Magu	1685	1%
193	Nyamagana	0	0%
194	Kwimba	1390	0.9%
195	Sengerema	1745	1.1%
196	Geita	2155	1.3%
197	Misungwi	1350	0.8%
198	Ilemela	770	0.5%
201	Tarime	2045	1.3%
202	Serengeti	1565	1%
203	Musoma Rural	1530	0.9%
204	Bunda	1360	0.8%
205	Musoma Urban	50	0%
211	Babati	1610	1%
212	Hanang	1050	0.6%
213	Mbulu	965	0.6%
214	Simanjiro	510	0.3%
215	Kiteto	1115	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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