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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-CENSUS / TZA_2002-2003_ASCS_V01_EN_M_V01_A_OCS / variable [V1432]
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
125704
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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 diseases R205

Overview

Valid: 12926
Invalid: 0
Type: Discrete
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Kondoa 175
1.4%
012 Mpwapwa 121
0.9%
013 Kongwa 143
1.1%
014 Dodoma Rural 94
0.7%
015 Dodoma Urban 50
0.4%
021 Monduli 1165
9%
022 Arumeru 761
5.9%
023 Arusha 90
0.7%
024 Karatu 584
4.5%
025 Ngorongoro 836
6.5%
031 Rombo 383
3%
032 Mwanga 217
1.7%
033 Same 217
1.7%
034 Moshi Rural 346
2.7%
035 Hai 318
2.5%
036 Moshi Urban 0
0%
041 Lushoto 377
2.9%
042 Korogwe 92
0.7%
043 Muheza 70
0.5%
044 Tanga 12
0.1%
045 Pangani 11
0.1%
046 Handeni 13
0.1%
047 Kilindi 71
0.5%
051 Kilosa 36
0.3%
052 Morogoro Rural 28
0.2%
053 Kilombero 22
0.2%
054 Ulanga 53
0.4%
055 Morogoro Urban 4
0%
056 Mvomero 44
0.3%
061 Bagamoyo 24
0.2%
062 Kibaha 6
0%
063 Kisarawe 0
0%
064 Mkuranga 2
0%
065 Rufiji 20
0.2%
066 Mafia 0
0%
071 Kinondoni 21
0.2%
072 Ilala 0
0%
073 Temeke 8
0.1%
081 Kilwa 0
0%
082 Lindi Rural 8
0.1%
083 Nachingwea 9
0.1%
084 Liwale 2
0%
085 Ruangwa 11
0.1%
086 Lindi Urban 5
0%
091 Mtwara Rural 10
0.1%
092 Newala 15
0.1%
093 Masasi 4
0%
094 Tandahimba 28
0.2%
095 Mtwara Urban 1
0%
101 Tunduru 22
0.2%
102 Songea Rural 41
0.3%
103 Mbinga 118
0.9%
104 Songea Urban 8
0.1%
105 Namtumbo 12
0.1%
111 Iringa Rural 36
0.3%
112 Mufindi 20
0.2%
113 Makete 131
1%
114 Njombe 46
0.4%
115 Ludewa 83
0.6%
116 Iringa Urban 2
0%
117 Kilolo 30
0.2%
121 Chunya 36
0.3%
122 Mbeya Rural 33
0.3%
123 Kyela 9
0.1%
124 Rungwe 14
0.1%
125 Ileje 71
0.5%
126 Mbozi' 16
0.1%
127 Mbarali 70
0.5%
128 Mbeya Urban 27
0.2%
131 Iramba 240
1.9%
132 Singida Rural 253
2%
133 Manyoni 75
0.6%
134 Singida Urban 108
0.8%
141 Nzega 142
1.1%
142 Igunga 168
1.3%
143 Uyui 51
0.4%
144 Urambo 28
0.2%
145 Sikonge 98
0.8%
146 Tabora Urban 61
0.5%
151 Mpanda 21
0.2%
152 Sumbawanga Rural 25
0.2%
153 Nkansi 24
0.2%
154 Sumbawanga Urban 6
0%
161 Kibondo 41
0.3%
162 Kasulu 40
0.3%
163 Kigoma Rural 88
0.7%
164 Kigoma Urban 10
0.1%
171 Bariadi 85
0.7%
172 Maswa 157
1.2%
173 Shinyanga Rural 196
1.5%
174 Kahama 147
1.1%
175 Bukombe 54
0.4%
176 Meatu 221
1.7%
177 Shinyanga Urban 141
1.1%
178 Kishapu 232
1.8%
181 Karagwe 84
0.6%
182 Bukoba Rural 30
0.2%
183 Muleba 43
0.3%
184 Biharamulo 71
0.5%
185 Ngara 33
0.3%
186 Bukoba Urban 9
0.1%
191 Ukerewe 1
0%
192 Magu 71
0.5%
193 Nyamagana 0
0%
194 Kwimba 106
0.8%
195 Sengerema 28
0.2%
196 Geita 39
0.3%
197 Misungwi 115
0.9%
198 Ilemela 17
0.1%
201 Tarime 147
1.1%
202 Serengeti 169
1.3%
203 Musoma Rural 73
0.6%
204 Bunda 74
0.6%
205 Musoma Urban 2
0%
211 Babati 356
2.8%
212 Hanang 256
2%
213 Mbulu 502
3.9%
214 Simanjiro 561
4.3%
215 Kiteto 95
0.7%
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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