Annual Agricultural Sample Survey Report 2014-2015
Tanzania, 2016
Get MicrodataCreated on
Dec 11, 2023
Last modified
Dec 11, 2023
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(RegionName)
Data file: Sheep
Overview
Valid:
5310
Invalid:
0
Type:
Discrete
Width:
29
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Arusha | 315 |
5.9%
|
|
| Dar-es-salaam | 175 |
3.3%
|
|
| Dodoma | 270 |
5.1%
|
|
| Geita | 190 |
3.6%
|
|
| Iringa | 30 |
0.6%
|
|
| Kagera | 85 |
1.6%
|
|
| Kaskazini-Unguja | 5 |
0.1%
|
|
| Katavi | 20 |
0.4%
|
|
| Kigoma | 35 |
0.7%
|
|
| Kilimanjaro | 380 |
7.2%
|
|
| Lindi | 5 |
0.1%
|
|
| Manyara | 235 |
4.4%
|
|
| Mara | 395 |
7.4%
|
|
| Mbeya | 25 |
0.5%
|
|
| Mjini Magharibi (West) | 10 |
0.2%
|
|
| Morogoro | 60 |
1.1%
|
|
| Mtwara | 20 |
0.4%
|
|
| Mwanza | 455 |
8.6%
|
|
| Njombe | 5 |
0.1%
|
|
| Pwani | 5 |
0.1%
|
|
| Rukwa | 50 |
0.9%
|
|
| Ruvuma | 20 |
0.4%
|
|
| Shinyanga | 580 |
10.9%
|
|
| Simiyu | 1195 |
22.5%
|
|
| Singida | 280 |
5.3%
|
|
| Tabora | 240 |
4.5%
|
|
| Tanga | 225 |
4.2%
|
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.