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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-CENSUS / TZA_2002-2003_ASCS_V01_EN_M_V01_A_OCS / variable [V1465]
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
114513
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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: Sheep population, intake and offtake R202

Overview

Valid: 16355
Invalid: 0
Type: Discrete
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Kondoa 195
1.2%
012 Mpwapwa 133
0.8%
013 Kongwa 152
0.9%
014 Dodoma Rural 131
0.8%
015 Dodoma Urban 71
0.4%
021 Monduli 1212
7.4%
022 Arumeru 763
4.7%
023 Arusha 90
0.6%
024 Karatu 612
3.7%
025 Ngorongoro 1102
6.7%
031 Rombo 410
2.5%
032 Mwanga 269
1.6%
033 Same 300
1.8%
034 Moshi Rural 344
2.1%
035 Hai 337
2.1%
036 Moshi Urban 0
0%
041 Lushoto 397
2.4%
042 Korogwe 129
0.8%
043 Muheza 102
0.6%
044 Tanga 13
0.1%
045 Pangani 13
0.1%
046 Handeni 17
0.1%
047 Kilindi 107
0.7%
051 Kilosa 58
0.4%
052 Morogoro Rural 35
0.2%
053 Kilombero 32
0.2%
054 Ulanga 67
0.4%
055 Morogoro Urban 6
0%
056 Mvomero 37
0.2%
061 Bagamoyo 39
0.2%
062 Kibaha 5
0%
063 Kisarawe 0
0%
064 Mkuranga 2
0%
065 Rufiji 18
0.1%
066 Mafia 0
0%
071 Kinondoni 23
0.1%
072 Ilala 0
0%
073 Temeke 12
0.1%
081 Kilwa 0
0%
082 Lindi Rural 19
0.1%
083 Nachingwea 13
0.1%
084 Liwale 7
0%
085 Ruangwa 14
0.1%
086 Lindi Urban 10
0.1%
091 Mtwara Rural 17
0.1%
092 Newala 19
0.1%
093 Masasi 7
0%
094 Tandahimba 54
0.3%
095 Mtwara Urban 2
0%
101 Tunduru 34
0.2%
102 Songea Rural 37
0.2%
103 Mbinga 103
0.6%
104 Songea Urban 6
0%
105 Namtumbo 16
0.1%
111 Iringa Rural 45
0.3%
112 Mufindi 26
0.2%
113 Makete 138
0.8%
114 Njombe 44
0.3%
115 Ludewa 97
0.6%
116 Iringa Urban 6
0%
117 Kilolo 39
0.2%
121 Chunya 46
0.3%
122 Mbeya Rural 42
0.3%
123 Kyela 3
0%
124 Rungwe 10
0.1%
125 Ileje 70
0.4%
126 Mbozi' 28
0.2%
127 Mbarali 87
0.5%
128 Mbeya Urban 37
0.2%
131 Iramba 344
2.1%
132 Singida Rural 408
2.5%
133 Manyoni 146
0.9%
134 Singida Urban 176
1.1%
141 Nzega 183
1.1%
142 Igunga 284
1.7%
143 Uyui 140
0.9%
144 Urambo 36
0.2%
145 Sikonge 148
0.9%
146 Tabora Urban 89
0.5%
151 Mpanda 44
0.3%
152 Sumbawanga Rural 40
0.2%
153 Nkansi 45
0.3%
154 Sumbawanga Urban 6
0%
161 Kibondo 45
0.3%
162 Kasulu 40
0.2%
163 Kigoma Rural 83
0.5%
164 Kigoma Urban 17
0.1%
171 Bariadi 141
0.9%
172 Maswa 258
1.6%
173 Shinyanga Rural 221
1.4%
174 Kahama 145
0.9%
175 Bukombe 62
0.4%
176 Meatu 379
2.3%
177 Shinyanga Urban 196
1.2%
178 Kishapu 374
2.3%
181 Karagwe 94
0.6%
182 Bukoba Rural 45
0.3%
183 Muleba 54
0.3%
184 Biharamulo 91
0.6%
185 Ngara 30
0.2%
186 Bukoba Urban 10
0.1%
191 Ukerewe 1
0%
192 Magu 106
0.6%
193 Nyamagana 0
0%
194 Kwimba 175
1.1%
195 Sengerema 48
0.3%
196 Geita 62
0.4%
197 Misungwi 159
1%
198 Ilemela 23
0.1%
201 Tarime 214
1.3%
202 Serengeti 233
1.4%
203 Musoma Rural 95
0.6%
204 Bunda 130
0.8%
205 Musoma Urban 2
0%
211 Babati 405
2.5%
212 Hanang 374
2.3%
213 Mbulu 577
3.5%
214 Simanjiro 866
5.3%
215 Kiteto 202
1.2%
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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