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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-CENSUS / TZA_2002-2003_ASCS_V01_EN_M_V01_A_OCS / variable [V890]
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
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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: Cattle offtake R184

Overview

Valid: 29006
Invalid: 0
Type: Discrete
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Kondoa 770
2.7%
012 Mpwapwa 220
0.8%
013 Kongwa 308
1.1%
014 Dodoma Rural 202
0.7%
015 Dodoma Urban 182
0.6%
021 Monduli 1692
5.8%
022 Arumeru 1581
5.5%
023 Arusha 246
0.8%
024 Karatu 1102
3.8%
025 Ngorongoro 1132
3.9%
031 Rombo 254
0.9%
032 Mwanga 467
1.6%
033 Same 368
1.3%
034 Moshi Rural 728
2.5%
035 Hai 687
2.4%
036 Moshi Urban 0
0%
041 Lushoto 390
1.3%
042 Korogwe 171
0.6%
043 Muheza 71
0.2%
044 Tanga 139
0.5%
045 Pangani 40
0.1%
046 Handeni 98
0.3%
047 Kilindi 120
0.4%
051 Kilosa 70
0.2%
052 Morogoro Rural 65
0.2%
053 Kilombero 28
0.1%
054 Ulanga 58
0.2%
055 Morogoro Urban 16
0.1%
056 Mvomero 16
0.1%
061 Bagamoyo 58
0.2%
062 Kibaha 40
0.1%
063 Kisarawe 12
0%
064 Mkuranga 2
0%
065 Rufiji 40
0.1%
066 Mafia 108
0.4%
071 Kinondoni 76
0.3%
072 Ilala 16
0.1%
073 Temeke 45
0.2%
081 Kilwa 0
0%
082 Lindi Rural 4
0%
083 Nachingwea 3
0%
084 Liwale 0
0%
085 Ruangwa 0
0%
086 Lindi Urban 8
0%
091 Mtwara Rural 13
0%
092 Newala 34
0.1%
093 Masasi 18
0.1%
094 Tandahimba 5
0%
095 Mtwara Urban 1
0%
101 Tunduru 6
0%
102 Songea Rural 54
0.2%
103 Mbinga 208
0.7%
104 Songea Urban 34
0.1%
105 Namtumbo 35
0.1%
111 Iringa Rural 89
0.3%
112 Mufindi 166
0.6%
113 Makete 543
1.9%
114 Njombe 285
1%
115 Ludewa 195
0.7%
116 Iringa Urban 8
0%
117 Kilolo 130
0.4%
121 Chunya 95
0.3%
122 Mbeya Rural 202
0.7%
123 Kyela 133
0.5%
124 Rungwe 307
1.1%
125 Ileje 190
0.7%
126 Mbozi' 238
0.8%
127 Mbarali 188
0.6%
128 Mbeya Urban 150
0.5%
131 Iramba 521
1.8%
132 Singida Rural 499
1.7%
133 Manyoni 151
0.5%
134 Singida Urban 251
0.9%
141 Nzega 589
2%
142 Igunga 464
1.6%
143 Uyui 195
0.7%
144 Urambo 143
0.5%
145 Sikonge 278
1%
146 Tabora Urban 127
0.4%
151 Mpanda 60
0.2%
152 Sumbawanga Rural 280
1%
153 Nkansi 168
0.6%
154 Sumbawanga Urban 195
0.7%
161 Kibondo 79
0.3%
162 Kasulu 92
0.3%
163 Kigoma Rural 25
0.1%
164 Kigoma Urban 2
0%
171 Bariadi 336
1.2%
172 Maswa 256
0.9%
173 Shinyanga Rural 298
1%
174 Kahama 454
1.6%
175 Bukombe 370
1.3%
176 Meatu 391
1.3%
177 Shinyanga Urban 327
1.1%
178 Kishapu 393
1.4%
181 Karagwe 146
0.5%
182 Bukoba Rural 115
0.4%
183 Muleba 109
0.4%
184 Biharamulo 291
1%
185 Ngara 82
0.3%
186 Bukoba Urban 40
0.1%
191 Ukerewe 461
1.6%
192 Magu 412
1.4%
193 Nyamagana 0
0%
194 Kwimba 306
1.1%
195 Sengerema 360
1.2%
196 Geita 254
0.9%
197 Misungwi 325
1.1%
198 Ilemela 129
0.4%
201 Tarime 427
1.5%
202 Serengeti 469
1.6%
203 Musoma Rural 248
0.9%
204 Bunda 202
0.7%
205 Musoma Urban 56
0.2%
211 Babati 716
2.5%
212 Hanang 435
1.5%
213 Mbulu 524
1.8%
214 Simanjiro 716
2.5%
215 Kiteto 279
1%
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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