Value | Category | Cases | |
---|---|---|---|
11 | KONDOA | 30 |
0.2%
|
12 | MPWAPWA | 14 |
0.1%
|
13 | KONGWA | 5 |
0%
|
14 | DODOMA RURAL | 18 |
0.1%
|
15 | DODOMA URBAN | 33 |
0.2%
|
16 | BAHI | 1 |
0%
|
21 | MONDULI | 24 |
0.1%
|
22 | ARUMERU | 41 |
0.2%
|
23 | ARUSHA | 28 |
0.2%
|
24 | KARATU | 9 |
0.1%
|
25 | NGORONGORO | 8 |
0%
|
31 | ROMBO | 36 |
0.2%
|
32 | MWANGA | 32 |
0.2%
|
33 | SAME | 46 |
0.3%
|
34 | MOSHO RURAL | 87 |
0.5%
|
35 | HAI | 40 |
0.2%
|
36 | MOSHI URBAN | 16 |
0.1%
|
41 | LUSHOTO | 53 |
0.3%
|
42 | KOROGWE | 36 |
0.2%
|
43 | MUHEZA | 44 |
0.3%
|
44 | TANGA | 33 |
0.2%
|
45 | PANGANI | 12 |
0.1%
|
46 | HANDENI | 19 |
0.1%
|
47 | KILINDI | 8 |
0%
|
48 | MKINGA | 9 |
0.1%
|
51 | KILOSA | 42 |
0.3%
|
52 | MOROGORO | 68 |
0.4%
|
53 | KILOMBERO | 17 |
0.1%
|
54 | ULANGA | 25 |
0.1%
|
55 | MOROGORO | 28 |
0.2%
|
56 | MOROGORO | 25 |
0.1%
|
57 | MVOMERO | 0 |
0%
|
61 | BAGAMOYO | 44 |
0.3%
|
62 | KIBAHA | 27 |
0.2%
|
63 | KISARAWE | 25 |
0.1%
|
64 | MKURANGA | 26 |
0.2%
|
65 | RUFIJI | 52 |
0.3%
|
66 | MAFIA | 13 |
0.1%
|
71 | KINONDONI | 110 |
0.7%
|
72 | ILALA | 85 |
0.5%
|
73 | TEMEKE | 76 |
0.5%
|
81 | KILWA | 44 |
0.3%
|
82 | LINDI RURAL | 51 |
0.3%
|
83 | NACHINGWEA | 24 |
0.1%
|
84 | LIWALE | 8 |
0%
|
85 | RUANGWA | 25 |
0.1%
|
86 | LINDI URBAN | 17 |
0.1%
|
91 | MTWARA RURAL | 30 |
0.2%
|
92 | NEWALA | 39 |
0.2%
|
93 | MASASI | 56 |
0.3%
|
94 | TANDAHIMBA | 33 |
0.2%
|
95 | MTWARA MIKINDANI | 14 |
0.1%
|
101 | TUNDURU | 19 |
0.1%
|
102 | SONGEA RURAL | 16 |
0.1%
|
103 | MBINGA | 11 |
0.1%
|
104 | SONGEA URBAN | 10 |
0.1%
|
105 | NAMTUMBO | 7 |
0%
|
111 | IRINGA RURAL | 37 |
0.2%
|
112 | MUFINDI | 21 |
0.1%
|
113 | MAKETE | 27 |
0.2%
|
114 | NJOMBE | 27 |
0.2%
|
115 | LUDEWA | 13 |
0.1%
|
116 | IRINGA URBAN | 15 |
0.1%
|
117 | KILOLO | 12 |
0.1%
|
121 | CHUNYA | 10 |
0.1%
|
122 | MBEYA RURAL | 19 |
0.1%
|
123 | KYELA | 7 |
0%
|
124 | RUNGWE | 34 |
0.2%
|
125 | ILEJE | 13 |
0.1%
|
126 | MBOZI | 31 |
0.2%
|
127 | MBALALI | 4 |
0%
|
128 | MBEYA URBAN | 8 |
0%
|
131 | IRAMBA | 37 |
0.2%
|
132 | SINGIDA RURAL | 34 |
0.2%
|
133 | MANYONI | 27 |
0.2%
|
134 | SINGIDA URBAN | 21 |
0.1%
|
141 | NZEGA | 31 |
0.2%
|
142 | IGUNGA | 26 |
0.2%
|
143 | UYUI | 14 |
0.1%
|
144 | URAMBA | 13 |
0.1%
|
145 | SIKONGE | 10 |
0.1%
|
146 | TABORA URBAN | 19 |
0.1%
|
151 | MPANDA | 9 |
0.1%
|
152 | SUMBAWANGA | 17 |
0.1%
|
153 | NKASI | 0 |
0%
|
154 | SUMBAWANGA URBAN | 7 |
0%
|
161 | KIBONDO | 27 |
0.2%
|
162 | KASULU | 61 |
0.4%
|
163 | KIGOMA RURAL | 17 |
0.1%
|
164 | KIGOMA URBAN | 18 |
0.1%
|
171 | BARIADI | 45 |
0.3%
|
172 | MASWA | 67 |
0.4%
|
173 | SHINYANGA RURAL | 44 |
0.3%
|
174 | KAHAMA | 42 |
0.3%
|
175 | BUKOMBE | 8 |
0%
|
176 | MEATU | 16 |
0.1%
|
177 | SHINYANGA URBAN | 30 |
0.2%
|
178 | KISHAPU | 39 |
0.2%
|
181 | KARAGWE | 21 |
0.1%
|
182 | BUKOBA RURAL | 41 |
0.2%
|
183 | MULEBA | 42 |
0.3%
|
184 | BIHARAMULO | 13 |
0.1%
|
185 | NGARA | 18 |
0.1%
|
186 | BUKOBA URBAN | 12 |
0.1%
|
187 | CHATO | 2 |
0%
|
188 | MISENYE | 6 |
0%
|
191 | UKEREWE | 35 |
0.2%
|
192 | MAGU | 45 |
0.3%
|
193 | NYAMAGANA | 19 |
0.1%
|
194 | KWIMBA | 31 |
0.2%
|
195 | SENGEREMA | 33 |
0.2%
|
196 | GEITA | 33 |
0.2%
|
197 | MISUNGWI | 15 |
0.1%
|
198 | ILEMELA | 12 |
0.1%
|
201 | TARIME | 35 |
0.2%
|
202 | SENGEREMA | 4 |
0%
|
203 | MUSOMA RURAL | 34 |
0.2%
|
204 | BUNDA | 18 |
0.1%
|
205 | MUSOMA URBAN | 8 |
0%
|
211 | BABATI | 29 |
0.2%
|
212 | HANANG | 7 |
0%
|
213 | MBULU | 17 |
0.1%
|
214 | SIMANJIRO | 8 |
0%
|
215 | KITETO | 7 |
0%
|
511 | KASKAZINI ‘A’ | 44 |
0.3%
|
512 | KASKAZINI ‘B’ | 44 |
0.3%
|
521 | KATI | 19 |
0.1%
|
522 | KUSINI | 17 |
0.1%
|
531 | MAGHARIBI | 27 |
0.2%
|
532 | MJINI | 64 |
0.4%
|
541 | WETE | 42 |
0.3%
|
542 | MICHWEWENI | 19 |
0.1%
|
551 | CHAKECHAKE | 57 |
0.3%
|
552 | MKOANI | 32 |
0.2%
|
960 | Tanzania | 0 |
0%
|
961 | Angola | 0 |
0%
|
962 | Botswana | 0 |
0%
|
963 | Burundi | 33 |
0.2%
|
964 | Comoro | 0 |
0%
|
965 | Kenya | 3 |
0%
|
966 | Lesotho | 0 |
0%
|
967 | Malawi | 7 |
0%
|
968 | Mauritius | 0 |
0%
|
969 | Mozambique | 8 |
0%
|
970 | Namibia | 0 |
0%
|
971 | Rwanda | 1 |
0%
|
972 | Seychelles | 0 |
0%
|
973 | Somalia | 0 |
0%
|
974 | Swaziland | 0 |
0%
|
975 | South Africa | 0 |
0%
|
976 | Uganda | 1 |
0%
|
977 | Democratic Republic of Congo | 0 |
0%
|
978 | Zimbabwe | 1 |
0%
|
979 | Zambia | 2 |
0%
|
980 | Other African Countries | 0 |
0%
|
981 | India | 0 |
0%
|
982 | Pakistan | 0 |
0%
|
983 | Other Asian Countries | 0 |
0%
|
984 | Italy | 0 |
0%
|
985 | Finland, Norway and Sweden | 0 |
0%
|
986 | Great Britain | 1 |
0%
|
987 | Germany | 0 |
0%
|
988 | Other European Countries | 0 |
0%
|
989 | Canada | 0 |
0%
|
990 | USA | 0 |
0%
|
991 | Other Countries | 0 |
0%
|
999 | 5 |
0%
|
|
Sysmiss | 13035 |