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