Agriculture Sample Census Survey 2007-2008
United Republic of Tanzania, 2009
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Reference ID
TZA_2007-2008_ASCS_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics, Office of Chief Government Statistician-Zanzibar
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Metadata
Created on
Oct 24, 2019
Last modified
Oct 24, 2019
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112801
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District Identification (Dist_ID)
Data file: R104
Overview
Valid:
10217
Invalid:
0
Type:
Discrete
Width:
3
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 011 | Kondoa | 810 |
7.9%
|
| 012 | Mpwapwa | 810 |
7.9%
|
| 013 | Kongwa | 810 |
7.9%
|
| 015 | Dodoma Urban | 810 |
7.9%
|
| 016 | Bahi | 810 |
7.9%
|
| 017 | Chamwino | 810 |
7.9%
|
| 021 | Monduli | 810 |
7.9%
|
| 023 | Arusha | 120 |
1.2%
|
| 024 | Karatu | 810 |
7.9%
|
| 025 | Ngorongoro | 810 |
7.9%
|
| 026 | Longido | 806 |
7.9%
|
| 027 | Arusha Rural | 810 |
7.9%
|
| 028 | Meru | 808 |
7.9%
|
| 031 | Rombo | 383 |
3.7%
|
| 032 | Mwanga | 0 |
0%
|
| 033 | Same | 0 |
0%
|
| 034 | Moshi Rural | 0 |
0%
|
| 035 | Hai | 0 |
0%
|
| 037 | Siha | 0 |
0%
|
| 041 | Lushoto | 0 |
0%
|
| 042 | Korogwe | 0 |
0%
|
| 043 | Muheza | 0 |
0%
|
| 044 | Tanga | 0 |
0%
|
| 045 | Pangani | 0 |
0%
|
| 046 | Handeni | 0 |
0%
|
| 047 | Kilindi | 0 |
0%
|
| 048 | Mkinga | 0 |
0%
|
| 051 | Kilosa | 0 |
0%
|
| 052 | Morogoro | 0 |
0%
|
| 053 | Kilombero | 0 |
0%
|
| 054 | Ulanga | 0 |
0%
|
| 055 | Morogoro Urban | 0 |
0%
|
| 056 | Mvomero | 0 |
0%
|
| 061 | Bagamoyo | 0 |
0%
|
| 062 | Kibaha | 0 |
0%
|
| 063 | Kisarawe | 0 |
0%
|
| 064 | Mkuranga | 0 |
0%
|
| 065 | Rufiji | 0 |
0%
|
| 066 | Mafia | 0 |
0%
|
| 071 | Kinondoni | 0 |
0%
|
| 072 | Ilala | 0 |
0%
|
| 073 | Temeke | 0 |
0%
|
| 081 | Kilwa | 0 |
0%
|
| 082 | Lindi Rural | 0 |
0%
|
| 083 | Nachingwea | 0 |
0%
|
| 084 | Liwale | 0 |
0%
|
| 085 | Ruangwa | 0 |
0%
|
| 086 | Lindi Urban | 0 |
0%
|
| 091 | Mtwara Rural | 0 |
0%
|
| 092 | Newala | 0 |
0%
|
| 093 | Masasi | 0 |
0%
|
| 094 | Tandahimba | 0 |
0%
|
| 095 | Mtwara Urban | 0 |
0%
|
| 096 | Nanyumbu | 0 |
0%
|
| 101 | Tunduru | 0 |
0%
|
| 102 | Songea Rural | 0 |
0%
|
| 103 | Mbinga | 0 |
0%
|
| 104 | Songea Urban | 0 |
0%
|
| 105 | Namtumbo | 0 |
0%
|
| 111 | Iringa Rural | 0 |
0%
|
| 112 | Mufindi | 0 |
0%
|
| 113 | Makete | 0 |
0%
|
| 114 | Njombe | 0 |
0%
|
| 115 | Ludewa | 0 |
0%
|
| 116 | Iringa Urban | 0 |
0%
|
| 117 | Kilolo | 0 |
0%
|
| 118 | Njombe Mji | 0 |
0%
|
| 121 | Chunya | 0 |
0%
|
| 122 | Mbeya (R) | 0 |
0%
|
| 123 | Kyela | 0 |
0%
|
| 124 | Rungwe | 0 |
0%
|
| 125 | Ileje | 0 |
0%
|
| 126 | Mbozi | 0 |
0%
|
| 127 | Mbarali | 0 |
0%
|
| 128 | Mbeya Urban | 0 |
0%
|
| 131 | Iramba | 0 |
0%
|
| 132 | Singida Rural | 0 |
0%
|
| 133 | Manyoni | 0 |
0%
|
| 134 | Singida Urban | 0 |
0%
|
| 141 | Nzega | 0 |
0%
|
| 142 | Igunga | 0 |
0%
|
| 143 | Uyui | 0 |
0%
|
| 144 | Urambo | 0 |
0%
|
| 145 | Sikonge | 0 |
0%
|
| 146 | Tabora Urban | 0 |
0%
|
| 151 | Mpanda | 0 |
0%
|
| 152 | Sumbawanga Rural | 0 |
0%
|
| 153 | Nkasi | 0 |
0%
|
| 154 | Sumbawanga Urban | 0 |
0%
|
| 161 | Kibondo | 0 |
0%
|
| 162 | Kasulu | 0 |
0%
|
| 163 | Kigoma Rural | 0 |
0%
|
| 164 | Kigoma Urban | 0 |
0%
|
| 171 | Bariadi | 0 |
0%
|
| 172 | Maswa | 0 |
0%
|
| 173 | Shinyanga Rural | 0 |
0%
|
| 174 | Kahama | 0 |
0%
|
| 175 | Bukombe | 0 |
0%
|
| 176 | Meatu | 0 |
0%
|
| 177 | Shinyanga Urban | 0 |
0%
|
| 178 | Kishapu | 0 |
0%
|
| 181 | Karagwe | 0 |
0%
|
| 182 | Bukoba Rural | 0 |
0%
|
| 183 | Muleba | 0 |
0%
|
| 184 | Biharamulo | 0 |
0%
|
| 185 | Ngara | 0 |
0%
|
| 186 | Bukoba Urban | 0 |
0%
|
| 187 | Missenyi | 0 |
0%
|
| 188 | Chato | 0 |
0%
|
| 191 | Ukerewe | 0 |
0%
|
| 192 | Magu | 0 |
0%
|
| 194 | Kwimba | 0 |
0%
|
| 195 | Sengerema | 0 |
0%
|
| 196 | Geita | 0 |
0%
|
| 197 | Missungwi | 0 |
0%
|
| 198 | Ilemela | 0 |
0%
|
| 201 | Tarime | 0 |
0%
|
| 202 | Serengeti | 0 |
0%
|
| 203 | Musoma Rural | 0 |
0%
|
| 204 | Bunda | 0 |
0%
|
| 205 | Musoma Urban | 0 |
0%
|
| 206 | Rorya | 0 |
0%
|
| 211 | Babati | 0 |
0%
|
| 212 | Hanang | 0 |
0%
|
| 213 | Mbulu | 0 |
0%
|
| 214 | Simanjiro | 0 |
0%
|
| 215 | Kiteto | 0 |
0%
|
| 511 | Kaskazini-A | 0 |
0%
|
| 512 | Kaskazini-B | 0 |
0%
|
| 521 | Kati | 0 |
0%
|
| 522 | Kusini | 0 |
0%
|
| 531 | Magharibi | 0 |
0%
|
| 541 | Wete | 0 |
0%
|
| 542 | Micheweni | 0 |
0%
|
| 551 | Chake | 0 |
0%
|
| 552 | Mkoani | 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.