Value |
Category |
11 |
Kondoa |
12 |
Mpwapwa |
13 |
Dodoma rural |
14 |
Dodom urban |
21 |
Monduli |
22 |
Aru Meru |
23 |
Arusha |
24 |
Kiteto |
25 |
Babati |
26 |
Hanang |
27 |
Mbulu |
28 |
Ngorongoro |
31 |
Rombo |
32 |
Mwanga |
33 |
Same |
34 |
Moshi rural |
35 |
Hai |
36 |
Moshi urban |
41 |
Lushoto |
42 |
Korogwe |
43 |
Muheza |
44 |
Tanga |
45 |
Pangani |
46 |
Handeni |
51 |
Kilosa |
52 |
Morogoro rural |
53 |
Kilombero |
54 |
Ulanga |
55 |
Morogor urban |
61 |
Bagamoyo |
62 |
Kibaha |
63 |
Kisarawe |
64 |
Rufiji |
65 |
Mafia |
71 |
Kinondoni |
72 |
Ilala |
73 |
Temeke |
81 |
Kilwa |
82 |
Lindi rural |
83 |
Nachingwea |
84 |
Liwale |
85 |
Lindi urban |
91 |
Mtwara rural |
92 |
Newala |
93 |
Masasi |
94 |
Mtwara urban |
101 |
Tunduru |
102 |
Songea rural |
103 |
Mbinga |
104 |
Songea urban |
111 |
Iringa rural |
112 |
Mufindi |
113 |
Njombe |
114 |
Ludewa |
115 |
Makete |
116 |
Iringa urban |
121 |
Chunya |
122 |
Mbeya rural |
123 |
Kyela |
124 |
Rungwe |
125 |
Ileje |
126 |
Mbozi |
127 |
Mbeya urban |
131 |
Iramba |
132 |
Singida rural |
133 |
Manyoni |
134 |
Singida urban |
141 |
Nzega |
142 |
Igunga |
143 |
Tabora rural |
144 |
Urambo |
145 |
Tabora urban |
151 |
Mpanda |
152 |
Sumbawanga rural |
153 |
Nkansi |
154 |
Sumbawanga urban |
161 |
Kibondo |
162 |
Kasulu |
163 |
Kigoma rural |
164 |
Kigoma urban |
171 |
Bariadi |
172 |
Maswa |
173 |
Shinyanga rural |
174 |
Kahama |
175 |
Shinyanga urban |
176 |
Meatu |
181 |
Karagwe |
182 |
Bukoba rural |
183 |
Muleba |
184 |
Biharamulo |
185 |
Ngara |
186 |
Bukoba urban |
191 |
Ukerewe |
192 |
Magu |
193 |
Mwanza |
194 |
Kwimba |
195 |
Sengerema |
196 |
Geita |
201 |
Tarime |
202 |
Serengeti |
203 |
Musoma rural |
204 |
Bunda |
205 |
Musoma urban |
511 |
Unguja North "A" |
512 |
Unguja North "B" |
521 |
Unguja Central |
522 |
Unguja South |
531 |
Unguja West |
532 |
Unguja Town |
541 |
Wete-Pemba |
542 |
Micheweni - Pemba |
551 |
Chake Chake - Pemba |
552 |
Mkoani - Pemba |
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.