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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURE-CENSUS-SURVEYS / TZA_2002-2003_ASCS_V01_EN_M_V01_A_OCS / variable [F91]
agriculture-census-surveys

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
Agriculture Census and Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 24, 2019
Last modified
Oct 24, 2019
Page views
71798
Downloads
2598
  • Study Description
  • Data Description
  • Downloads
  • 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: Animal contribution to crop production R171

Overview

Valid: 16752
Invalid: 0
Type: Discrete
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Kondoa 503
3%
012 Mpwapwa 94
0.6%
013 Kongwa 86
0.5%
014 Dodoma Rural 66
0.4%
015 Dodoma Urban 34
0.2%
021 Monduli 331
2%
022 Arumeru 405
2.4%
023 Arusha 95
0.6%
024 Karatu 385
2.3%
025 Ngorongoro 197
1.2%
031 Rombo 1
0%
032 Mwanga 61
0.4%
033 Same 2
0%
034 Moshi Rural 15
0.1%
035 Hai 131
0.8%
036 Moshi Urban 0
0%
041 Lushoto 0
0%
042 Korogwe 4
0%
043 Muheza 0
0%
044 Tanga 0
0%
045 Pangani 0
0%
046 Handeni 0
0%
047 Kilindi 1
0%
051 Kilosa 21
0.1%
052 Morogoro Rural 0
0%
053 Kilombero 27
0.2%
054 Ulanga 35
0.2%
055 Morogoro Urban 0
0%
056 Mvomero 1
0%
061 Bagamoyo 0
0%
062 Kibaha 0
0%
063 Kisarawe 0
0%
064 Mkuranga 0
0%
065 Rufiji 0
0%
066 Mafia 2
0%
071 Kinondoni 0
0%
072 Ilala 0
0%
073 Temeke 4
0%
081 Kilwa 0
0%
082 Lindi Rural 0
0%
083 Nachingwea 0
0%
084 Liwale 0
0%
085 Ruangwa 0
0%
086 Lindi Urban 0
0%
091 Mtwara Rural 0
0%
092 Newala 0
0%
093 Masasi 0
0%
094 Tandahimba 0
0%
095 Mtwara Urban 0
0%
101 Tunduru 0
0%
102 Songea Rural 1
0%
103 Mbinga 0
0%
104 Songea Urban 1
0%
105 Namtumbo 1
0%
111 Iringa Rural 109
0.7%
112 Mufindi 232
1.4%
113 Makete 717
4.3%
114 Njombe 176
1.1%
115 Ludewa 21
0.1%
116 Iringa Urban 7
0%
117 Kilolo 271
1.6%
121 Chunya 170
1%
122 Mbeya Rural 43
0.3%
123 Kyela 282
1.7%
124 Rungwe 38
0.2%
125 Ileje 13
0.1%
126 Mbozi' 277
1.7%
127 Mbarali 309
1.8%
128 Mbeya Urban 47
0.3%
131 Iramba 734
4.4%
132 Singida Rural 316
1.9%
133 Manyoni 75
0.4%
134 Singida Urban 33
0.2%
141 Nzega 573
3.4%
142 Igunga 473
2.8%
143 Uyui 104
0.6%
144 Urambo 62
0.4%
145 Sikonge 141
0.8%
146 Tabora Urban 45
0.3%
151 Mpanda 62
0.4%
152 Sumbawanga Rural 589
3.5%
153 Nkansi 352
2.1%
154 Sumbawanga Urban 517
3.1%
161 Kibondo 0
0%
162 Kasulu 1
0%
163 Kigoma Rural 3
0%
164 Kigoma Urban 0
0%
171 Bariadi 440
2.6%
172 Maswa 379
2.3%
173 Shinyanga Rural 483
2.9%
174 Kahama 462
2.8%
175 Bukombe 200
1.2%
176 Meatu 413
2.5%
177 Shinyanga Urban 429
2.6%
178 Kishapu 547
3.3%
181 Karagwe 4
0%
182 Bukoba Rural 1
0%
183 Muleba 0
0%
184 Biharamulo 77
0.5%
185 Ngara 0
0%
186 Bukoba Urban 0
0%
191 Ukerewe 0
0%
192 Magu 302
1.8%
193 Nyamagana 0
0%
194 Kwimba 403
2.4%
195 Sengerema 60
0.4%
196 Geita 117
0.7%
197 Misungwi 240
1.4%
198 Ilemela 3
0%
201 Tarime 497
3%
202 Serengeti 355
2.1%
203 Musoma Rural 201
1.2%
204 Bunda 217
1.3%
205 Musoma Urban 0
0%
211 Babati 752
4.5%
212 Hanang 392
2.3%
213 Mbulu 383
2.3%
214 Simanjiro 79
0.5%
215 Kiteto 20
0.1%
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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