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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-CENSUS / TZA_2002-2003_ASCS_V01_EN_M_V01_A_OCS / variable [F85]
Agricultural-Census

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
Collections
Agricultural Censuses
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 24, 2019
Last modified
Oct 24, 2019
Page views
114098
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  • Study Description
  • Data Dictionary
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  • Data files
  • annual crop and
    vegetable
    production-long
    rainy
    seasonR072
  • annual crop and
    vegetable
    production-short
    rainy
    seasonR071
  • Cattle diseases
    R185
  • Cattle intake
    R183
  • Cattle offtake
    R184
  • Cattle
    population,
    intake and
    offtake R182
  • crop extension
    messages R152
  • crop extension
    services R151
  • crop storage
    R092
  • permanentperennial
    crops and fruit
    tree production
    R073
  • Goat diseases
    R195
  • Goat intake
    during 20022003
    R193
  • Goat offtake
    R194
  • Goat
    population,
    intake and
    offtake R192
  • Goat
    population,
    intake and
    offtake R092_1
  • Goat
    population,
    intake and
    offtakeR092_1
  • Livestock
    extension R291
  • Livestock
    extension
    service
    providers R292
  • Livestock Pest
    and Parasite
    control R220
  • Livestock
    product R250
  • marketing
    problem R102
  • marketing
    problem R103
  • Milk production
    R186
  • Milk production
    R196
  • access and use
    of resources
    R061
  • access to farm
    inputs and
    implements R121
  • access to
    functional
    Livestock
    StructuresaccessoriesR270
  • activities of
    the
    householdR022
  • Agroprocessing
    and
    by-productsR082
  • Animal
    contribution to
    crop production
    R171
  • Chicken
    diseases R240
  • credit for
    Agriculture
    purposesR13_1
  • erosion
    controlwater
    harvesting
    facilities R112
  • farm implements
    and assets used
    and owned by
    the household
    during
    2002-2003 R122
  • Fish farming
    R282
  • household
    information
    R031
  • Household
    information,
    Agriculture
    activities,
    Livestock
    informationR00
  • labour use R311
  • land
    accessownershiptenure
    R041
  • land use R051
  • livelihood
    constraints
    R162
  • livelihood
    constraintsR161
  • other Livestock
    R230
  • outlets for the
    sale of
    Livestock R260
  • related to
    respondent and
    household head
    R122_00
  • tree
    farmingagroforestry
    R142
  • use of
    secondary
    products R076
  • Pig
    diseasespestsconditions
    R215
  • Pig increase
    R213
  • Pig offtake
    R214
  • Pig population
    and production
    R212
  • Sheep diseases
    R205
  • Sheep intake
    R203
  • Sheep offtake
    R204
  • Sheep
    population,
    intake and
    offtake R202
  • R321
  • R331
  • R332
  • use of credit
    for agriculture
    purposes R130
  • use of credit
    for agriculture
    purposes R131
  • use of credit
    for agriculture
    purposes R132

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.
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