Agriculture Sample Census Survey 2002-2003
Tanzania, 2004
Get MicrodataCreated on
Feb 13, 2022
Last modified
Mar 10, 2022
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- Data files
- R00
- R13_1
- R022
- R092_1
- R031
- R041
- R051
- R061
- R071
- R072
- R073
- R076
- R082
- R092
- R092_1
- R102
- R103
- R112
- R121
- R122
- R122_00
- R130
- R131
- R132
- R142
- R151
- R152
- R161
- R162
- R171
- R182
- R183
- R184
- R185
- R186
- R192
- R193
- R194
- R195
- R196
- R202
- R203
- R204
- R205
- R212
- R213
- R214
- R215
- R220
- R230
- R240
- R250
- R260
- R270
- R282
- R291
- R292
- R311
- R321
- R331
- R332
District (District)
Data file: R220
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Start:
25
End:
27
Width:
3
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category |
|---|---|
| 011 | Kondoa |
| 012 | Mpwapwa |
| 013 | Kongwa |
| 014 | Dodoma Rur |
| 015 | Dodoma Urb |
| 021 | Monduli |
| 022 | Arumeru |
| 023 | Arusha |
| 024 | Karatu |
| 025 | Ngorongoro |
| 031 | Rombo |
| 032 | Mwanga |
| 033 | Same |
| 034 | Moshi Rur |
| 035 | Hai |
| 041 | Lushoto |
| 042 | Korogwe |
| 043 | Muheza |
| 044 | Tanga |
| 045 | Pangani |
| 046 | Handeni |
| 047 | Kilindi |
| 051 | Kilosa |
| 052 | Morogoro |
| 053 | Kilombero |
| 054 | Ulanga |
| 055 | Morogoro Urb |
| 056 | Mvomero |
| 061 | Bagamoyo |
| 062 | Kibaha |
| 063 | Kisarawe |
| 064 | Mkuranga |
| 065 | Rufiji |
| 066 | Mafia |
| 071 | Kinondoni |
| 072 | Ilala |
| 073 | Temeke |
| 081 | Kilwa |
| 082 | Lindi Rur |
| 083 | Nachingwea |
| 084 | Liwale |
| 085 | Ruangwa |
| 086 | Lindi Urb |
| 091 | Mtwara Rur |
| 092 | Newala |
| 093 | Masasi |
| 094 | Tandahimba |
| 095 | Mtwara Urb |
| 101 | Tunduru |
| 102 | Songea Rur |
| 103 | Mbinga |
| 104 | Songea Urb |
| 105 | Namtumbo |
| 111 | Iringa Rur |
| 112 | Mufindi |
| 113 | Njombe |
| 114 | Ludewa |
| 115 | Makete |
| 116 | Iringa Urb |
| 117 | Kilolo |
| 121 | Chunya |
| 122 | Mbeya Rur |
| 123 | Kyela |
| 124 | Rungwe |
| 125 | Ileje |
| 126 | Mbozi |
| 127 | Mbarali |
| 128 | Mbeya Urb |
| 131 | Iramba |
| 132 | Singida Rur |
| 133 | Manyoni |
| 134 | Singida Urb |
| 141 | Nzega |
| 142 | Igunga |
| 143 | Uyui |
| 144 | Urambo |
| 145 | Sikonge |
| 146 | Tabora Urb |
| 151 | Mpanda |
| 152 | Sumbawanga Rur |
| 153 | Nkasi |
| 154 | Sumbawanga Urb |
| 161 | Kibondo |
| 162 | Kasulu |
| 163 | Kigoma Rur |
| 164 | Kigoma Urb |
| 171 | Bariadi |
| 172 | Maswa |
| 173 | Shinyanga Rur |
| 174 | Kahama |
| 175 | Bukombe |
| 176 | Meatu |
| 177 | Shinyanga Urb |
| 178 | Kishapu |
| 181 | Karagwe |
| 182 | Bukoba Rur |
| 183 | Muleba |
| 184 | Biharamulo |
| 185 | Ngara |
| 186 | Bukoba Urb |
| 191 | Ukerewe |
| 192 | Magu |
| 194 | Kwimba |
| 195 | Sengerema |
| 196 | Geita |
| 197 | Missungwi |
| 198 | Ilemela |
| 201 | Tarime |
| 202 | Serengeti |
| 203 | Musoma Rur |
| 204 | Bunda |
| 205 | Musoma Urb |
| 211 | Babati |
| 212 | Hanang |
| 213 | Mbulu |
| 214 | Simanjiro |
| 215 | Kiteto |
| 511 | Kaskazini-A |
| 512 | Kaskazini-B |
| 521 | Kati |
| 522 | Kusini |
| 531 | Magharibi |
| 541 | Wete |
| 542 | Micheweni |
| 551 | Chake |
| 552 | Mkoani |
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.