Agriculture Sample Census Survey 2002-2003

United Republic of Tanzania, 2004

Get Microdata

Reference ID

TZA_2002-2003_ASCS_v01_EN_M_v01_A_OCS

Producer(s)

National Bureau of Statistics, Office of Chief Government Statistician-Zanzibar

Collections

Agricultural Censuses

Metadata

Documentation in PDF DDI/XML JSON

Created on

Oct 24, 2019

Last modified

Oct 24, 2019

Page views

136447

Downloads

3675

District (District)

Data file: Milk production R196

Overview

Valid: 16065

Invalid: 0

Type: Discrete

Width: 3

Range: -

Format: character

Questions and instructions

Categories

Value	Category	Cases
011	Kondoa	303	1.9%
012	Mpwapwa	110	0.7%
013	Kongwa	105	0.7%
014	Dodoma Rural	108	0.7%
015	Dodoma Urban	80	0.5%
021	Monduli	601	3.7%
022	Arumeru	394	2.5%
023	Arusha	60	0.4%
024	Karatu	372	2.3%
025	Ngorongoro	479	3%
031	Rombo	324	2%
032	Mwanga	102	0.6%
033	Same	122	0.8%
034	Moshi Rural	365	2.3%
035	Hai	161	1%
036	Moshi Urban	0	0%
041	Lushoto	145	0.9%
042	Korogwe	128	0.8%
043	Muheza	165	1%
044	Tanga	79	0.5%
045	Pangani	73	0.5%
046	Handeni	190	1.2%
047	Kilindi	129	0.8%
051	Kilosa	87	0.5%
052	Morogoro Rural	128	0.8%
053	Kilombero	19	0.1%
054	Ulanga	22	0.1%
055	Morogoro Urban	55	0.3%
056	Mvomero	56	0.3%
061	Bagamoyo	48	0.3%
062	Kibaha	13	0.1%
063	Kisarawe	16	0.1%
064	Mkuranga	17	0.1%
065	Rufiji	39	0.2%
066	Mafia	9	0.1%
071	Kinondoni	57	0.4%
072	Ilala	8	0%
073	Temeke	37	0.2%
081	Kilwa	35	0.2%
082	Lindi Rural	60	0.4%
083	Nachingwea	33	0.2%
084	Liwale	25	0.2%
085	Ruangwa	26	0.2%
086	Lindi Urban	24	0.1%
091	Mtwara Rural	76	0.5%
092	Newala	132	0.8%
093	Masasi	42	0.3%
094	Tandahimba	92	0.6%
095	Mtwara Urban	9	0.1%
101	Tunduru	65	0.4%
102	Songea Rural	231	1.4%
103	Mbinga	305	1.9%
104	Songea Urban	99	0.6%
105	Namtumbo	249	1.5%
111	Iringa Rural	36	0.2%
112	Mufindi	53	0.3%
113	Makete	142	0.9%
114	Njombe	167	1%
115	Ludewa	152	0.9%
116	Iringa Urban	4	0%
117	Kilolo	59	0.4%
121	Chunya	50	0.3%
122	Mbeya Rural	110	0.7%
123	Kyela	3	0%
124	Rungwe	49	0.3%
125	Ileje	143	0.9%
126	Mbozi'	102	0.6%
127	Mbarali	77	0.5%
128	Mbeya Urban	87	0.5%
131	Iramba	203	1.3%
132	Singida Rural	237	1.5%
133	Manyoni	107	0.7%
134	Singida Urban	99	0.6%
141	Nzega	161	1%
142	Igunga	119	0.7%
143	Uyui	98	0.6%
144	Urambo	107	0.7%
145	Sikonge	104	0.6%
146	Tabora Urban	96	0.6%
151	Mpanda	95	0.6%
152	Sumbawanga Rural	151	0.9%
153	Nkansi	105	0.7%
154	Sumbawanga Urban	103	0.6%
161	Kibondo	270	1.7%
162	Kasulu	153	1%
163	Kigoma Rural	127	0.8%
164	Kigoma Urban	27	0.2%
171	Bariadi	144	0.9%
172	Maswa	138	0.9%
173	Shinyanga Rural	151	0.9%
174	Kahama	172	1.1%
175	Bukombe	195	1.2%
176	Meatu	179	1.1%
177	Shinyanga Urban	145	0.9%
178	Kishapu	192	1.2%
181	Karagwe	211	1.3%
182	Bukoba Rural	194	1.2%
183	Muleba	177	1.1%
184	Biharamulo	259	1.6%
185	Ngara	309	1.9%
186	Bukoba Urban	21	0.1%
191	Ukerewe	241	1.5%
192	Magu	146	0.9%
193	Nyamagana	0	0%
194	Kwimba	141	0.9%
195	Sengerema	207	1.3%
196	Geita	219	1.4%
197	Misungwi	161	1%
198	Ilemela	91	0.6%
201	Tarime	273	1.7%
202	Serengeti	165	1%
203	Musoma Rural	204	1.3%
204	Bunda	144	0.9%
205	Musoma Urban	26	0.2%
211	Babati	299	1.9%
212	Hanang	222	1.4%
213	Mbulu	266	1.7%
214	Simanjiro	347	2.2%
215	Kiteto	121	0.8%

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.

Back to Catalog