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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-CENSUS / TZA_2002-2003_ASCS_V01_EN_M_V01_A_OCS / variable [V1503]
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
114475
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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 credit for agriculture purposes R131

Overview

Valid: 12176
Invalid: 0
Type: Discrete
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Kondoa 24
0.2%
012 Mpwapwa 16
0.1%
013 Kongwa 48
0.4%
014 Dodoma Rural 8
0.1%
015 Dodoma Urban 16
0.1%
021 Monduli 16
0.1%
022 Arumeru 16
0.1%
023 Arusha 0
0%
024 Karatu 0
0%
025 Ngorongoro 8
0.1%
031 Rombo 16
0.1%
032 Mwanga 16
0.1%
033 Same 72
0.6%
034 Moshi Rural 24
0.2%
035 Hai 168
1.4%
036 Moshi Urban 0
0%
041 Lushoto 24
0.2%
042 Korogwe 8
0.1%
043 Muheza 24
0.2%
044 Tanga 24
0.2%
045 Pangani 0
0%
046 Handeni 16
0.1%
047 Kilindi 0
0%
051 Kilosa 72
0.6%
052 Morogoro Rural 456
3.7%
053 Kilombero 152
1.2%
054 Ulanga 80
0.7%
055 Morogoro Urban 0
0%
056 Mvomero 40
0.3%
061 Bagamoyo 8
0.1%
062 Kibaha 0
0%
063 Kisarawe 0
0%
064 Mkuranga 152
1.2%
065 Rufiji 8
0.1%
066 Mafia 0
0%
071 Kinondoni 16
0.1%
072 Ilala 8
0.1%
073 Temeke 24
0.2%
081 Kilwa 0
0%
082 Lindi Rural 16
0.1%
083 Nachingwea 8
0.1%
084 Liwale 32
0.3%
085 Ruangwa 16
0.1%
086 Lindi Urban 0
0%
091 Mtwara Rural 0
0%
092 Newala 32
0.3%
093 Masasi 48
0.4%
094 Tandahimba 8
0.1%
095 Mtwara Urban 16
0.1%
101 Tunduru 256
2.1%
102 Songea Rural 632
5.2%
103 Mbinga 856
7%
104 Songea Urban 216
1.8%
105 Namtumbo 1648
13.5%
111 Iringa Rural 8
0.1%
112 Mufindi 32
0.3%
113 Makete 408
3.4%
114 Njombe 144
1.2%
115 Ludewa 56
0.5%
116 Iringa Urban 0
0%
117 Kilolo 16
0.1%
121 Chunya 472
3.9%
122 Mbeya Rural 256
2.1%
123 Kyela 288
2.4%
124 Rungwe 328
2.7%
125 Ileje 32
0.3%
126 Mbozi' 48
0.4%
127 Mbarali 152
1.2%
128 Mbeya Urban 176
1.4%
131 Iramba 56
0.5%
132 Singida Rural 16
0.1%
133 Manyoni 144
1.2%
134 Singida Urban 8
0.1%
141 Nzega 80
0.7%
142 Igunga 24
0.2%
143 Uyui 608
5%
144 Urambo 776
6.4%
145 Sikonge 664
5.5%
146 Tabora Urban 40
0.3%
151 Mpanda 296
2.4%
152 Sumbawanga Rural 152
1.2%
153 Nkansi 8
0.1%
154 Sumbawanga Urban 48
0.4%
161 Kibondo 16
0.1%
162 Kasulu 64
0.5%
163 Kigoma Rural 80
0.7%
164 Kigoma Urban 0
0%
171 Bariadi 104
0.9%
172 Maswa 64
0.5%
173 Shinyanga Rural 32
0.3%
174 Kahama 128
1.1%
175 Bukombe 56
0.5%
176 Meatu 24
0.2%
177 Shinyanga Urban 8
0.1%
178 Kishapu 24
0.2%
181 Karagwe 0
0%
182 Bukoba Rural 0
0%
183 Muleba 8
0.1%
184 Biharamulo 32
0.3%
185 Ngara 24
0.2%
186 Bukoba Urban 0
0%
191 Ukerewe 0
0%
192 Magu 320
2.6%
193 Nyamagana 0
0%
194 Kwimba 104
0.9%
195 Sengerema 56
0.5%
196 Geita 24
0.2%
197 Misungwi 112
0.9%
198 Ilemela 104
0.9%
201 Tarime 0
0%
202 Serengeti 64
0.5%
203 Musoma Rural 8
0.1%
204 Bunda 0
0%
205 Musoma Urban 0
0%
211 Babati 8
0.1%
212 Hanang 8
0.1%
213 Mbulu 0
0%
214 Simanjiro 24
0.2%
215 Kiteto 0
0%
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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