Value | Category | Cases | |
---|---|---|---|
0 | Qx | 29 |
61.7%
|
1 | office reach | 2 |
4.3%
|
2 | bugabo | 1 |
2.1%
|
3 | kiziba | 2 |
4.3%
|
4 | misenyi | 1 |
2.1%
|
5 | katerero | 2 |
4.3%
|
6 | rubale | 1 |
2.1%
|
7 | muleba town | 0 |
0%
|
8 | kamachumu | 0 |
0%
|
9 | izigo | 2 |
4.3%
|
10 | muleba islands | 2 |
4.3%
|
11 | rulanda | 0 |
0%
|
12 | nshamba | 2 |
4.3%
|
13 | omurushaka | 1 |
2.1%
|
14 | nkwenda | 1 |
2.1%
|
15 | mabira | 0 |
0%
|
16 | biharamulo | 0 |
0%
|
17 | bwanga | 0 |
0%
|
18 | chato | 0 |
0%
|
19 | ngara | 0 |
0%
|
20 | benaco | 0 |
0%
|
21 | geita | 0 |
0%
|
22 | sengerema | 0 |
0%
|
23 | mwanza city | 1 |
2.1%
|
24 | mara | 0 |
0%
|
25 | shinyanga | 0 |
0%
|
26 | ilala | 0 |
0%
|
27 | kinondoni | 0 |
0%
|
28 | temeke | 0 |
0%
|
29 | zanzibar | 0 |
0%
|
30 | tabora | 0 |
0%
|
31 | kigoma | 0 |
0%
|
32 | mbeya | 0 |
0%
|
33 | rukwa | 0 |
0%
|
34 | ruvuma | 0 |
0%
|
35 | iringa | 0 |
0%
|
40 | arusha | 0 |
0%
|
41 | kilimanjaro | 0 |
0%
|
42 | tanga | 0 |
0%
|
43 | morogoro | 0 |
0%
|
44 | dodoma | 0 |
0%
|
50 | uganda | 0 |
0%
|
51 | kenya | 0 |
0%
|
52 | rwanda | 0 |
0%
|
53 | burundi | 0 |
0%
|
54 | zaire | 0 |
0%
|
55 | botswana | 0 |
0%
|
56 | egypt | 0 |
0%
|
70 | germany | 0 |
0%
|
71 | norway | 0 |
0%
|
72 | sweden | 0 |
0%
|
99 | ITF misplaced | 0 |
0%
|
555 | non-phhm | 0 |
0%
|
999 | Not Curr HHM HR4 | 0 |
0%
|
Sysmiss | 2207 |
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