THE UNITED REPUBLIC OF TANZANIA
National Bureau of Statistics
Tanzania National Data Archive (TNADA)
Official statistics and microdata for evidence-based development
| Value | Category | Cases | |
|---|---|---|---|
| Arumeru | 541 |
0.9%
|
|
| Arusha | 556 |
0.9%
|
|
| Babati | 222 |
0.4%
|
|
| Bagamoyo | 437 |
0.7%
|
|
| Bahi | 181 |
0.3%
|
|
| Bariadi | 473 |
0.8%
|
|
| Biharamulo | 210 |
0.3%
|
|
| Buhigwe | 133 |
0.2%
|
|
| Bukoba | 539 |
0.9%
|
|
| Bukombe | 438 |
0.7%
|
|
| Bunda | 401 |
0.7%
|
|
| Busega | 250 |
0.4%
|
|
| Butiama | 141 |
0.2%
|
|
| Chake Chake | 2094 |
3.4%
|
|
| Chamwino | 308 |
0.5%
|
|
| Chato | 395 |
0.6%
|
|
| Chemba | 219 |
0.4%
|
|
| Chunya | 353 |
0.6%
|
|
| Dodoma | 584 |
1%
|
|
| Gairo | 122 |
0.2%
|
|
| Geita | 916 |
1.5%
|
|
| Hai | 78 |
0.1%
|
|
| Hanang | 122 |
0.2%
|
|
| Handeni | 236 |
0.4%
|
|
| Igunga | 201 |
0.3%
|
|
| Ikungi | 290 |
0.5%
|
|
| Ilala | 2634 |
4.3%
|
|
| Ileje | 90 |
0.1%
|
|
| Ilemela | 325 |
0.5%
|
|
| Iramba | 460 |
0.8%
|
|
| Iringa | 217 |
0.4%
|
|
| Itilima | 156 |
0.3%
|
|
| Kahama | 930 |
1.5%
|
|
| Kalambo | 109 |
0.2%
|
|
| Kaliua | 572 |
0.9%
|
|
| Karagwe | 183 |
0.3%
|
|
| Karatu | 66 |
0.1%
|
|
| Kaskazini A | 2783 |
4.6%
|
|
| Kaskazini B | 1659 |
2.7%
|
|
| Kasulu | 646 |
1.1%
|
|
| Kati | 1041 |
1.7%
|
|
| Kibaha | 242 |
0.4%
|
|
| Kibiti | 109 |
0.2%
|
|
| Kibondo | 128 |
0.2%
|
|
| Kigamboni | 472 |
0.8%
|
|
| Kigoma | 242 |
0.4%
|
|
| Kilindi | 357 |
0.6%
|
|
| Kilolo | 66 |
0.1%
|
|
| Kilombero | 462 |
0.8%
|
|
| Kilosa | 473 |
0.8%
|
|
| Kilwa | 83 |
0.1%
|
|
| Kinondoni | 1502 |
2.5%
|
|
| Kisarawe | 82 |
0.1%
|
|
| Kishapu | 131 |
0.2%
|
|
| Kiteto | 320 |
0.5%
|
|
| Kondoa | 198 |
0.3%
|
|
| Kongwa | 306 |
0.5%
|
|
| Korogwe | 206 |
0.3%
|
|
| Kusini | 483 |
0.8%
|
|
| Kwimba | 275 |
0.5%
|
|
| Kyela | 160 |
0.3%
|
|
| Kyerwa | 299 |
0.5%
|
|
| Lindi | 353 |
0.6%
|
|
| Liwale | 191 |
0.3%
|
|
| Longido | 89 |
0.1%
|
|
| Ludewa | 60 |
0.1%
|
|
| Lushoto | 279 |
0.5%
|
|
| Mafia | 83 |
0.1%
|
|
| Magharibi A | 1695 |
2.8%
|
|
| Magharibi B | 1483 |
2.4%
|
|
| Magu | 136 |
0.2%
|
|
| Malinyi | 91 |
0.1%
|
|
| Manyoni | 431 |
0.7%
|
|
| Masasi | 295 |
0.5%
|
|
| Maswa | 157 |
0.3%
|
|
| Mbarali | 280 |
0.5%
|
|
| Mbeya | 423 |
0.7%
|
|
| Mbinga | 259 |
0.4%
|
|
| Mbogwe | 121 |
0.2%
|
|
| Mbozi | 297 |
0.5%
|
|
| Mbulu | 262 |
0.4%
|
|
| Meatu | 194 |
0.3%
|
|
| Micheweni | 2010 |
3.3%
|
|
| Missenyi | 178 |
0.3%
|
|
| Misungwi | 291 |
0.5%
|
|
| Mjini | 973 |
1.6%
|
|
| Mkalama | 221 |
0.4%
|
|
| Mkoani | 1929 |
3.2%
|
|
| Mkuranga | 343 |
0.6%
|
|
| Mlele | 377 |
0.6%
|
|
| Momba | 266 |
0.4%
|
|
| Monduli | 111 |
0.2%
|
|
| Morogoro | 643 |
1.1%
|
|
| Moshi | 447 |
0.7%
|
|
| Mpanda | 180 |
0.3%
|
|
| Mpwapwa | 270 |
0.4%
|
|
| Mtwara | 310 |
0.5%
|
|
| Mufindi | 257 |
0.4%
|
|
| Muheza | 194 |
0.3%
|
|
| Muleba | 300 |
0.5%
|
|
| Musoma | 280 |
0.5%
|
|
| Mvomero | 224 |
0.4%
|
|
| Nachingwea | 76 |
0.1%
|
|
| Namtumbo | 191 |
0.3%
|
|
| Nanyumbu | 155 |
0.3%
|
|
| Newala | 89 |
0.1%
|
|
| Ngara | 204 |
0.3%
|
|
| Ngorongoro | 263 |
0.4%
|
|
| Njombe | 200 |
0.3%
|
|
| Nkasi | 208 |
0.3%
|
|
| Nyamagana | 489 |
0.8%
|
|
| Nyang'hwale | 154 |
0.3%
|
|
| Nyasa | 160 |
0.3%
|
|
| Nzega | 462 |
0.8%
|
|
| Rombo | 154 |
0.3%
|
|
| Rorya | 204 |
0.3%
|
|
| Ruangwa | 79 |
0.1%
|
|
| Rungwe | 303 |
0.5%
|
|
| Same | 331 |
0.5%
|
|
| Sengerema | 320 |
0.5%
|
|
| Serengeti | 129 |
0.2%
|
|
| Shinyanga | 309 |
0.5%
|
|
| Siha | 129 |
0.2%
|
|
| Sikonge | 285 |
0.5%
|
|
| Simanjiro | 151 |
0.2%
|
|
| Singida | 238 |
0.4%
|
|
| Songea | 346 |
0.6%
|
|
| Songwe | 109 |
0.2%
|
|
| Sumbawanga | 510 |
0.8%
|
|
| Tabora | 173 |
0.3%
|
|
| Tandahimba | 127 |
0.2%
|
|
| Tanga | 428 |
0.7%
|
|
| Tanganyika | 216 |
0.4%
|
|
| Tarime | 332 |
0.5%
|
|
| Temeke | 2185 |
3.6%
|
|
| Tunduru | 276 |
0.5%
|
|
| Ubungo | 1614 |
2.7%
|
|
| Ukerewe | 137 |
0.2%
|
|
| Ulanga | 104 |
0.2%
|
|
| Urambo | 144 |
0.2%
|
|
| Uvinza | 207 |
0.3%
|
|
| Uyui | 216 |
0.4%
|
|
| Wanging'ombe | 78 |
0.1%
|
|
| Wete | 2514 |
4.1%
|