| Value | Category | Cases | |
|---|---|---|---|
| 1 | DODOMA | 9 |
1.8%
|
| 3 | KILIMANJARO | 2 |
0.4%
|
| 4 | TANGA | 2 |
0.4%
|
| 5 | MOROGORO | 5 |
1%
|
| 6 | PWANI | 5 |
1%
|
| 8 | LINDI | 1 |
0.2%
|
| 12 | MBEYA | 6 |
1.2%
|
| 13 | SINGIDA | 5 |
1%
|
| 14 | TABORA | 7 |
1.4%
|
| 15 | RUKWA | 6 |
1.2%
|
| 16 | KIGOMA | 4 |
0.8%
|
| 17 | SHINYANGA | 5 |
1%
|
| 18 | KAGERA | 6 |
1.2%
|
| 19 | MWANZA | 2 |
0.4%
|
| 21 | MANYARA | 6 |
1.2%
|
| 23 | KATAVI | 1 |
0.2%
|
| 25 | GEITA | 1 |
0.2%
|
| Sysmiss | 415 |
85%
|