| 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 |
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.