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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-CENSUS / TZA_2002-2003_ASCS_V01_EN_M_V01_A_OCS / variable [F72]
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
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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: Goat diseases R195

Overview

Valid: 36111
Invalid: 0
Type: Discrete
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Kondoa 757
2.1%
012 Mpwapwa 265
0.7%
013 Kongwa 238
0.7%
014 Dodoma Rural 239
0.7%
015 Dodoma Urban 184
0.5%
021 Monduli 1574
4.4%
022 Arumeru 1028
2.8%
023 Arusha 150
0.4%
024 Karatu 942
2.6%
025 Ngorongoro 1246
3.5%
031 Rombo 749
2.1%
032 Mwanga 278
0.8%
033 Same 213
0.6%
034 Moshi Rural 721
2%
035 Hai 362
1%
036 Moshi Urban 0
0%
041 Lushoto 345
1%
042 Korogwe 333
0.9%
043 Muheza 363
1%
044 Tanga 151
0.4%
045 Pangani 180
0.5%
046 Handeni 405
1.1%
047 Kilindi 332
0.9%
051 Kilosa 187
0.5%
052 Morogoro Rural 302
0.8%
053 Kilombero 50
0.1%
054 Ulanga 73
0.2%
055 Morogoro Urban 94
0.3%
056 Mvomero 111
0.3%
061 Bagamoyo 132
0.4%
062 Kibaha 29
0.1%
063 Kisarawe 24
0.1%
064 Mkuranga 25
0.1%
065 Rufiji 94
0.3%
066 Mafia 14
0%
071 Kinondoni 98
0.3%
072 Ilala 10
0%
073 Temeke 87
0.2%
081 Kilwa 58
0.2%
082 Lindi Rural 127
0.4%
083 Nachingwea 86
0.2%
084 Liwale 50
0.1%
085 Ruangwa 48
0.1%
086 Lindi Urban 46
0.1%
091 Mtwara Rural 143
0.4%
092 Newala 207
0.6%
093 Masasi 63
0.2%
094 Tandahimba 140
0.4%
095 Mtwara Urban 15
0%
101 Tunduru 118
0.3%
102 Songea Rural 320
0.9%
103 Mbinga 623
1.7%
104 Songea Urban 165
0.5%
105 Namtumbo 465
1.3%
111 Iringa Rural 85
0.2%
112 Mufindi 88
0.2%
113 Makete 313
0.9%
114 Njombe 371
1%
115 Ludewa 292
0.8%
116 Iringa Urban 7
0%
117 Kilolo 126
0.3%
121 Chunya 123
0.3%
122 Mbeya Rural 207
0.6%
123 Kyela 6
0%
124 Rungwe 69
0.2%
125 Ileje 258
0.7%
126 Mbozi' 188
0.5%
127 Mbarali 183
0.5%
128 Mbeya Urban 162
0.4%
131 Iramba 486
1.3%
132 Singida Rural 648
1.8%
133 Manyoni 201
0.6%
134 Singida Urban 252
0.7%
141 Nzega 406
1.1%
142 Igunga 421
1.2%
143 Uyui 257
0.7%
144 Urambo 211
0.6%
145 Sikonge 261
0.7%
146 Tabora Urban 216
0.6%
151 Mpanda 225
0.6%
152 Sumbawanga Rural 270
0.7%
153 Nkansi 177
0.5%
154 Sumbawanga Urban 154
0.4%
161 Kibondo 495
1.4%
162 Kasulu 271
0.8%
163 Kigoma Rural 255
0.7%
164 Kigoma Urban 35
0.1%
171 Bariadi 351
1%
172 Maswa 357
1%
173 Shinyanga Rural 428
1.2%
174 Kahama 421
1.2%
175 Bukombe 439
1.2%
176 Meatu 484
1.3%
177 Shinyanga Urban 305
0.8%
178 Kishapu 507
1.4%
181 Karagwe 386
1.1%
182 Bukoba Rural 398
1.1%
183 Muleba 341
0.9%
184 Biharamulo 480
1.3%
185 Ngara 529
1.5%
186 Bukoba Urban 41
0.1%
191 Ukerewe 440
1.2%
192 Magu 375
1%
193 Nyamagana 0
0%
194 Kwimba 329
0.9%
195 Sengerema 427
1.2%
196 Geita 416
1.2%
197 Misungwi 372
1%
198 Ilemela 194
0.5%
201 Tarime 567
1.6%
202 Serengeti 407
1.1%
203 Musoma Rural 450
1.2%
204 Bunda 314
0.9%
205 Musoma Urban 55
0.2%
211 Babati 782
2.2%
212 Hanang 615
1.7%
213 Mbulu 737
2%
214 Simanjiro 1079
3%
215 Kiteto 307
0.9%
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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