Value |
Category |
1 |
azimio |
2 |
buguruni |
3 |
bunju |
4 |
buza |
5 |
chamazi |
6 |
changombe |
7 |
chanika |
8 |
charambe |
9 |
gerezani |
10 |
goba |
11 |
gongolamboto |
12 |
hananasifu |
13 |
ilala |
14 |
jangwani |
15 |
kariakoo |
16 |
kawe |
17 |
keko |
18 |
kibada |
19 |
kibamba |
20 |
kiburugwa |
21 |
kigamboni |
22 |
kigogo |
23 |
kijichi |
24 |
kijitonyama |
25 |
kilakala |
26 |
kimanga |
27 |
kimara |
28 |
kimbiji |
29 |
kinondoni |
30 |
kinyerezi |
31 |
kipawa |
32 |
kisarawe ii |
33 |
kisutu |
34 |
kitunda |
35 |
kivukoni |
36 |
kivule |
37 |
kiwalani |
38 |
kunduchi |
39 |
kurasini |
40 |
kwembe |
41 |
mabibo |
42 |
mabwepande |
43 |
magomeni |
44 |
majohe |
45 |
makangarawe |
46 |
makongo |
47 |
makuburi |
48 |
makumbusho |
49 |
makurumla |
50 |
manzese |
51 |
mbagala |
52 |
mbagala kuu |
53 |
mbezi |
54 |
mbezi juu |
55 |
mburahati |
56 |
mbweni |
57 |
mchafukoge |
58 |
mchikichini |
59 |
mianzini |
60 |
miburani |
61 |
mikocheni |
62 |
mjimwema |
63 |
msasani |
64 |
msigani |
65 |
msongola |
66 |
mtoni |
67 |
mwananyamala |
68 |
mzimuni |
69 |
ndugumbi |
70 |
pemba mnazi |
71 |
pugu |
72 |
sandali |
73 |
saranga |
74 |
segerea |
75 |
sinza |
76 |
somangila |
77 |
tabata |
78 |
tandale |
79 |
tandika |
80 |
temeke |
81 |
toangoma |
82 |
tungi |
83 |
ubungo |
84 |
ukonga |
85 |
upanga magharibi |
86 |
upanga mashariki |
87 |
vijibweni |
88 |
vingunguti |
89 |
wazo |
90 |
yombo vituka |
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.