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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-CENSUS / TZA_2002-2003_ASCS_V01_EN_M_V01_A_OCS / variable [F94]
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
121084
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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: erosion controlwater harvesting facilities R112

Overview

Valid: 11246
Invalid: 0
Type: Discrete
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Kondoa 1062
9.4%
012 Mpwapwa 43
0.4%
013 Kongwa 46
0.4%
014 Dodoma Rural 141
1.3%
015 Dodoma Urban 66
0.6%
021 Monduli 314
2.8%
022 Arumeru 791
7%
023 Arusha 168
1.5%
024 Karatu 661
5.9%
025 Ngorongoro 62
0.6%
031 Rombo 274
2.4%
032 Mwanga 325
2.9%
033 Same 348
3.1%
034 Moshi Rural 307
2.7%
035 Hai 339
3%
036 Moshi Urban 0
0%
041 Lushoto 436
3.9%
042 Korogwe 93
0.8%
043 Muheza 98
0.9%
044 Tanga 16
0.1%
045 Pangani 13
0.1%
046 Handeni 17
0.2%
047 Kilindi 38
0.3%
051 Kilosa 19
0.2%
052 Morogoro Rural 71
0.6%
053 Kilombero 37
0.3%
054 Ulanga 11
0.1%
055 Morogoro Urban 70
0.6%
056 Mvomero 32
0.3%
061 Bagamoyo 3
0%
062 Kibaha 6
0.1%
063 Kisarawe 14
0.1%
064 Mkuranga 10
0.1%
065 Rufiji 0
0%
066 Mafia 27
0.2%
071 Kinondoni 29
0.3%
072 Ilala 7
0.1%
073 Temeke 13
0.1%
081 Kilwa 0
0%
082 Lindi Rural 3
0%
083 Nachingwea 7
0.1%
084 Liwale 4
0%
085 Ruangwa 1
0%
086 Lindi Urban 0
0%
091 Mtwara Rural 0
0%
092 Newala 1
0%
093 Masasi 8
0.1%
094 Tandahimba 0
0%
095 Mtwara Urban 3
0%
101 Tunduru 6
0.1%
102 Songea Rural 19
0.2%
103 Mbinga 220
2%
104 Songea Urban 39
0.3%
105 Namtumbo 24
0.2%
111 Iringa Rural 119
1.1%
112 Mufindi 101
0.9%
113 Makete 461
4.1%
114 Njombe 275
2.4%
115 Ludewa 216
1.9%
116 Iringa Urban 22
0.2%
117 Kilolo 364
3.2%
121 Chunya 16
0.1%
122 Mbeya Rural 117
1%
123 Kyela 1
0%
124 Rungwe 181
1.6%
125 Ileje 170
1.5%
126 Mbozi' 162
1.4%
127 Mbarali 12
0.1%
128 Mbeya Urban 85
0.8%
131 Iramba 118
1%
132 Singida Rural 92
0.8%
133 Manyoni 13
0.1%
134 Singida Urban 19
0.2%
141 Nzega 15
0.1%
142 Igunga 1
0%
143 Uyui 29
0.3%
144 Urambo 18
0.2%
145 Sikonge 8
0.1%
146 Tabora Urban 31
0.3%
151 Mpanda 80
0.7%
152 Sumbawanga Rural 51
0.5%
153 Nkansi 36
0.3%
154 Sumbawanga Urban 75
0.7%
161 Kibondo 35
0.3%
162 Kasulu 46
0.4%
163 Kigoma Rural 58
0.5%
164 Kigoma Urban 2
0%
171 Bariadi 22
0.2%
172 Maswa 15
0.1%
173 Shinyanga Rural 40
0.4%
174 Kahama 53
0.5%
175 Bukombe 10
0.1%
176 Meatu 10
0.1%
177 Shinyanga Urban 28
0.2%
178 Kishapu 44
0.4%
181 Karagwe 22
0.2%
182 Bukoba Rural 82
0.7%
183 Muleba 72
0.6%
184 Biharamulo 13
0.1%
185 Ngara 79
0.7%
186 Bukoba Urban 12
0.1%
191 Ukerewe 118
1%
192 Magu 183
1.6%
193 Nyamagana 0
0%
194 Kwimba 119
1.1%
195 Sengerema 63
0.6%
196 Geita 6
0.1%
197 Misungwi 31
0.3%
198 Ilemela 12
0.1%
201 Tarime 54
0.5%
202 Serengeti 18
0.2%
203 Musoma Rural 179
1.6%
204 Bunda 6
0.1%
205 Musoma Urban 9
0.1%
211 Babati 387
3.4%
212 Hanang 46
0.4%
213 Mbulu 101
0.9%
214 Simanjiro 23
0.2%
215 Kiteto 18
0.2%
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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