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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-CENSUS / TZA_2002-2003_ASCS_V01_EN_M_V01_A_OCS / variable [F108]
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: use of secondary products R076

Overview

Valid: 21291
Invalid: 0
Type: Discrete
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Kondoa 333
1.6%
012 Mpwapwa 147
0.7%
013 Kongwa 180
0.8%
014 Dodoma Rural 208
1%
015 Dodoma Urban 147
0.7%
021 Monduli 211
1%
022 Arumeru 474
2.2%
023 Arusha 105
0.5%
024 Karatu 464
2.2%
025 Ngorongoro 103
0.5%
031 Rombo 823
3.9%
032 Mwanga 476
2.2%
033 Same 306
1.4%
034 Moshi Rural 737
3.5%
035 Hai 519
2.4%
036 Moshi Urban 0
0%
041 Lushoto 236
1.1%
042 Korogwe 59
0.3%
043 Muheza 26
0.1%
044 Tanga 21
0.1%
045 Pangani 38
0.2%
046 Handeni 12
0.1%
047 Kilindi 27
0.1%
051 Kilosa 61
0.3%
052 Morogoro Rural 59
0.3%
053 Kilombero 43
0.2%
054 Ulanga 11
0.1%
055 Morogoro Urban 53
0.2%
056 Mvomero 29
0.1%
061 Bagamoyo 15
0.1%
062 Kibaha 14
0.1%
063 Kisarawe 35
0.2%
064 Mkuranga 61
0.3%
065 Rufiji 12
0.1%
066 Mafia 37
0.2%
071 Kinondoni 260
1.2%
072 Ilala 16
0.1%
073 Temeke 63
0.3%
081 Kilwa 30
0.1%
082 Lindi Rural 7
0%
083 Nachingwea 34
0.2%
084 Liwale 30
0.1%
085 Ruangwa 7
0%
086 Lindi Urban 3
0%
091 Mtwara Rural 36
0.2%
092 Newala 181
0.9%
093 Masasi 8
0%
094 Tandahimba 86
0.4%
095 Mtwara Urban 7
0%
101 Tunduru 21
0.1%
102 Songea Rural 36
0.2%
103 Mbinga 450
2.1%
104 Songea Urban 114
0.5%
105 Namtumbo 16
0.1%
111 Iringa Rural 206
1%
112 Mufindi 158
0.7%
113 Makete 325
1.5%
114 Njombe 110
0.5%
115 Ludewa 122
0.6%
116 Iringa Urban 19
0.1%
117 Kilolo 139
0.7%
121 Chunya 68
0.3%
122 Mbeya Rural 186
0.9%
123 Kyela 74
0.3%
124 Rungwe 389
1.8%
125 Ileje 215
1%
126 Mbozi' 414
1.9%
127 Mbarali 76
0.4%
128 Mbeya Urban 209
1%
131 Iramba 596
2.8%
132 Singida Rural 1004
4.7%
133 Manyoni 126
0.6%
134 Singida Urban 369
1.7%
141 Nzega 279
1.3%
142 Igunga 352
1.7%
143 Uyui 182
0.9%
144 Urambo 89
0.4%
145 Sikonge 154
0.7%
146 Tabora Urban 127
0.6%
151 Mpanda 15
0.1%
152 Sumbawanga Rural 64
0.3%
153 Nkansi 25
0.1%
154 Sumbawanga Urban 61
0.3%
161 Kibondo 9
0%
162 Kasulu 199
0.9%
163 Kigoma Rural 212
1%
164 Kigoma Urban 99
0.5%
171 Bariadi 235
1.1%
172 Maswa 345
1.6%
173 Shinyanga Rural 289
1.4%
174 Kahama 297
1.4%
175 Bukombe 46
0.2%
176 Meatu 824
3.9%
177 Shinyanga Urban 251
1.2%
178 Kishapu 541
2.5%
181 Karagwe 51
0.2%
182 Bukoba Rural 265
1.2%
183 Muleba 343
1.6%
184 Biharamulo 58
0.3%
185 Ngara 178
0.8%
186 Bukoba Urban 49
0.2%
191 Ukerewe 342
1.6%
192 Magu 62
0.3%
193 Nyamagana 0
0%
194 Kwimba 148
0.7%
195 Sengerema 115
0.5%
196 Geita 41
0.2%
197 Misungwi 110
0.5%
198 Ilemela 148
0.7%
201 Tarime 128
0.6%
202 Serengeti 35
0.2%
203 Musoma Rural 158
0.7%
204 Bunda 64
0.3%
205 Musoma Urban 25
0.1%
211 Babati 471
2.2%
212 Hanang 591
2.8%
213 Mbulu 748
3.5%
214 Simanjiro 112
0.5%
215 Kiteto 62
0.3%
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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