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