Value |
Category |
ARUMERU |
|
ARUSHA |
|
ARUSHA MJINI |
|
BABATI |
|
BAGAMOYO |
|
BAHI |
|
BAHI/DODOMA VIJIJINI |
|
BARIADI |
|
BIHARAMULO |
|
BUKOBA RURAL |
|
BUKOBA URBAN |
|
BUKOMBE |
|
BUNDA |
|
CHAKECHAKE |
|
CHATO |
|
CHUNYA |
|
DODOMA RURAL |
|
DODOMA URBAN |
|
GEITA |
|
HAI |
|
HANANG |
|
HANDENI |
|
IGUNGA |
|
IKUNGI(SINGIDA VIJIJINI) |
|
ILALA |
|
ILEJE |
|
ILEMELA |
|
IRAMBA |
|
IRINGA RURAL |
|
IRINGA URBAN |
|
KAHAMA |
|
KARAGWE |
|
KARATU |
|
KASKAZINI A |
|
KASKAZINI B |
|
KASULU |
|
KATI |
|
KIBAHA |
|
KIBONDO |
|
KIGOMA RURAL |
|
KIGOMA URBAN |
|
KILINDI |
|
KILOLO |
|
KILOMBERO |
|
KILOSA |
|
KILWA |
|
KILWA MASOKO |
|
KINONDONI |
|
KISARAWE |
|
KISHAPU |
|
KITETO |
|
KONDOA |
|
KONGWA |
|
KOROGWE |
|
KUSINI |
|
KWIMBA |
|
KYELA |
|
LINDI RURAL |
|
LINDI URBAN |
|
LIWALE |
|
LUDEKIA |
|
LUDEWA |
|
LUSHOTO |
|
MAFIA |
|
MAGHARIBI |
|
MAGU |
|
MAKETE |
|
MANYONI |
|
MASASI |
|
MASASI-NAYUMBU |
|
MASWA |
|
MBARALI |
|
MBEYA RURAL |
|
MBEYA URBAN |
|
MBINGA |
|
MBINGA NYASA |
|
MBOZI |
|
MBOZI (MOMBA) |
|
MBULU |
|
MEATU |
|
MICHEWENI |
|
MIKINDANI |
|
MISENYE |
|
MISUNGWI |
|
MKINGA |
|
MKOANI |
|
MKURANGA |
|
MONDULI |
|
MOROGORO RURAL |
|
MOROGORO URBAN |
|
MOSHI RURAL |
|
MPANDA |
|
MPWAPWA |
|
MTWARA |
|
MTWARA MIKINDANI |
|
MTWARA RURAL |
|
MTWARA URBAN |
|
MUFINDI |
|
MUHEZA |
|
MULEBA |
|
MUSOMA RURAL |
|
MUSOMA URBAN |
|
MVOMERO |
|
MWANGA |
|
NACHINGWEA |
|
NAMTUMBO |
|
NEWALA |
|
NEWARA |
|
NGARA |
|
NGORONGORO |
|
NGWALA |
|
NJOMBE |
|
NJOMBE RURAL |
|
NJOMBE URBAN |
|
NKASI |
|
NYAMAGANA |
|
NYASA |
|
NZEGA |
|
PANGANI |
|
ROMBO |
|
RUANGWA |
|
RUFIJI |
|
RUNGWE |
|
SAME |
|
SENGEREMA |
|
SERENGETI |
|
SHINYANGA RURAL |
|
SHINYANGA URBAN |
|
SIKONGE |
|
SIMANJIRO |
|
SINGIDA RURAL |
|
SINGIDA URBAN |
|
SONGEA |
|
SONGEA RURAL |
|
SONGEA URBAN |
|
SUMBAWANGA |
|
SUMBAWANGA RURAL |
|
SUMBAWANGA URBAN |
|
TABORA URBAN |
|
TANDAHIMBA |
|
TANGA |
|
TANGA URBAN |
|
TARIME |
|
TEMEKE |
|
TUNDURU |
|
UKEREWE |
|
ULANGA |
|
URAMBO |
|
URAMBO (KALIUA) |
|
URBAN |
|
UYUI |
|
WETE |
|
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.