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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURE-CENSUS-SURVEYS / TZA_2002-2003_ASCS_V01_EN_M_V01_A_OCS / variable [F97]
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
71722
Downloads
2597
  • 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: household information R031

Overview

Valid: 248219
Invalid: 0
Type: Discrete
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Kondoa 2933
1.2%
012 Mpwapwa 1899
0.8%
013 Kongwa 2135
0.9%
014 Dodoma Rural 1906
0.8%
015 Dodoma Urban 1787
0.7%
021 Monduli 2280
0.9%
022 Arumeru 2428
1%
023 Arusha 288
0.1%
024 Karatu 2352
0.9%
025 Ngorongoro 1979
0.8%
031 Rombo 2443
1%
032 Mwanga 2152
0.9%
033 Same 1999
0.8%
034 Moshi Rural 2964
1.2%
035 Hai 1926
0.8%
036 Moshi Urban 0
0%
041 Lushoto 2815
1.1%
042 Korogwe 2231
0.9%
043 Muheza 2827
1.1%
044 Tanga 1729
0.7%
045 Pangani 1503
0.6%
046 Handeni 2418
1%
047 Kilindi 2150
0.9%
051 Kilosa 2558
1%
052 Morogoro Rural 2234
0.9%
053 Kilombero 2044
0.8%
054 Ulanga 2102
0.8%
055 Morogoro Urban 1592
0.6%
056 Mvomero 1878
0.8%
061 Bagamoyo 2072
0.8%
062 Kibaha 1860
0.7%
063 Kisarawe 1870
0.8%
064 Mkuranga 2319
0.9%
065 Rufiji 2175
0.9%
066 Mafia 1323
0.5%
071 Kinondoni 1391
0.6%
072 Ilala 769
0.3%
073 Temeke 1727
0.7%
081 Kilwa 1920
0.8%
082 Lindi Rural 1813
0.7%
083 Nachingwea 1619
0.7%
084 Liwale 2091
0.8%
085 Ruangwa 1551
0.6%
086 Lindi Urban 383
0.2%
091 Mtwara Rural 1906
0.8%
092 Newala 1668
0.7%
093 Masasi 2388
1%
094 Tandahimba 1950
0.8%
095 Mtwara Urban 392
0.2%
101 Tunduru 2099
0.8%
102 Songea Rural 1865
0.8%
103 Mbinga 2660
1.1%
104 Songea Urban 1224
0.5%
105 Namtumbo 2156
0.9%
111 Iringa Rural 1944
0.8%
112 Mufindi 2170
0.9%
113 Makete 2537
1%
114 Njombe 1910
0.8%
115 Ludewa 1446
0.6%
116 Iringa Urban 330
0.1%
117 Kilolo 1955
0.8%
121 Chunya 1710
0.7%
122 Mbeya Rural 1972
0.8%
123 Kyela 1684
0.7%
124 Rungwe 2440
1%
125 Ileje 1689
0.7%
126 Mbozi' 2711
1.1%
127 Mbarali 1751
0.7%
128 Mbeya Urban 1795
0.7%
131 Iramba 2495
1%
132 Singida Rural 2942
1.2%
133 Manyoni 2131
0.9%
134 Singida Urban 1433
0.6%
141 Nzega 2367
1%
142 Igunga 2782
1.1%
143 Uyui 2637
1.1%
144 Urambo 2724
1.1%
145 Sikonge 2336
0.9%
146 Tabora Urban 2186
0.9%
151 Mpanda 2706
1.1%
152 Sumbawanga Rural 3090
1.2%
153 Nkansi 2088
0.8%
154 Sumbawanga Urban 2106
0.8%
161 Kibondo 2091
0.8%
162 Kasulu 2189
0.9%
163 Kigoma Rural 2379
1%
164 Kigoma Urban 435
0.2%
171 Bariadi 3033
1.2%
172 Maswa 2535
1%
173 Shinyanga Rural 2777
1.1%
174 Kahama 3641
1.5%
175 Bukombe 2895
1.2%
176 Meatu 2990
1.2%
177 Shinyanga Urban 1854
0.7%
178 Kishapu 2914
1.2%
181 Karagwe 2282
0.9%
182 Bukoba Rural 2650
1.1%
183 Muleba 2039
0.8%
184 Biharamulo 2808
1.1%
185 Ngara 1881
0.8%
186 Bukoba Urban 599
0.2%
191 Ukerewe 2533
1%
192 Magu 2713
1.1%
193 Nyamagana 0
0%
194 Kwimba 2658
1.1%
195 Sengerema 3040
1.2%
196 Geita 3891
1.6%
197 Misungwi 2454
1%
198 Ilemela 1426
0.6%
201 Tarime 2933
1.2%
202 Serengeti 2477
1%
203 Musoma Rural 2995
1.2%
204 Bunda 2686
1.1%
205 Musoma Urban 289
0.1%
211 Babati 1963
0.8%
212 Hanang 2489
1%
213 Mbulu 2626
1.1%
214 Simanjiro 2116
0.9%
215 Kiteto 2128
0.9%
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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