Tanzania Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here you’ll find a curated sample of 100 key cities from Tanzania, each with essential data points such as latitude, longitude, administrative region, and other relevant attributes.
This preview is extracted from our full dataset, which includes a total of 7707 geographic locations across Tanzania.
Whether you’re working on mapping, analytics, or app development, the data is available for both personal and commercial use.
All entries can be downloaded in five formats: Excel (.xlsx), CSV, SQL, JSON, and XML.
Capital Highlight: The official capital city of Tanzania is Dodoma.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 153282 | Moheza | TZ | Tanga | Handeni Town | -5.35 | 38 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 158270 | Kasawe | TZ | Songwe | Momba | -8.75 | 32.48333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 11467693 | Shaji | TZ | Songwe | Mbozi | -9.06206 | 33.03348 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 150503 | Rubungo | TZ | Kagera | Muleba | -1.85 | 31.64944 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 159450 | Igamba | TZ | Songwe | Ileje | -9.56667 | 33.45 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 7284275 | Nungwi | Nungvi,Нунгви | TZ | Zanzibar North | Kaskazini A | -5.72651 | 39.2987 | 8000 | Africa/Dar_es_Salaam | populated place | |
| 153929 | Migeregere | Migeregere | TZ | Lindi | Kilwa | -8.79795 | 39.22708 | 0 | Africa/Dar_es_Salaam | populated place | |
| 157322 | Kimpunda | TZ | Singida | Iramba | -4.2 | 34.36667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 159214 | Ilewiro | TZ | Singida | Manyoni | -6.2 | 34.65 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 877679 | Nalasi | TZ | Ruvuma | Tunduru | -11.46667 | 37.08333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 158972 | Issui | TZ | Singida | Iramba | -4.2 | 34.21667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 151280 | Nyahanga | Nyahanga,Nyanhanga | TZ | Mwanza | Kwimba District | -3.23333 | 33.01667 | 0 | Africa/Dar_es_Salaam | populated place | |
| 151149 | Nyamhale | TZ | Shinyanga | Shinyanga Rural | -3.51667 | 32.85 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 160997 | Buhendengabo | TZ | Kagera | Bukoba | -1.23333 | 31.8 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 157970 | Kibokonge | TZ | Pemba North | Wete District | -5.15 | 39.78333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 161260 | Banagi | TZ | Mara | Serengeti | -2.26667 | 34.85 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 157101 | Kirefu | TZ | Iringa | Kilolo District | -8.13333 | 35.91667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 160838 | Busegwe | TZ | Mara | Butiama | -1.71667 | 33.96667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 877838 | Mnima | TZ | Mtwara | Mtwara | -10.48333 | 39.71667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 7388114 | Chunguruma | Chunguruma | TZ | Pwani | Mafia | -7.84388 | 39.76032 | 0 | Africa/Dar_es_Salaam | populated place | |
| 387531 | Nyamaziba | TZ | Kigoma | Buhigwe | -4.41722 | 29.96194 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 156671 | Kivunge | TZ | Zanzibar North | Kaskazini A | -5.88333 | 39.28333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 158112 | Kazimbani | TZ | Pemba South | Mkoani District | -5.41667 | 39.7 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 158472 | Kamba | TZ | Songwe | Songwe District | -7.83333 | 32.4 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 877367 | Unangaruwe | TZ | Lindi | Liwale | -10.13333 | 37.93333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 158949 | Italike | Italike | TZ | Katavi | Mpanda | -6.3 | 30.91667 | 0 | Africa/Dar_es_Salaam | populated place | |
| 154071 | Mgila | TZ | Tanga | Korogwe District | -5.01667 | 38.48333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 151225 | Nyakisogo | TZ | Kigoma | Kibondo | -4.14778 | 30.79944 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 877641 | Nambuti | TZ | Lindi | Nachingwea | -10.51667 | 37.93333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 157307 | Kinangali | TZ | Dodoma | Bahi District | -5.93333 | 35.58333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 387441 | Kanyinya | TZ | Kagera | Ngara | -2.65444 | 30.62444 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 7391838 | Katimba | Katimba | TZ | Kigoma | Uvinza District | -6.24111 | 29.90354 | 0 | Africa/Dar_es_Salaam | populated place | |
| 148830 | Wikongwe | Wikongwe | TZ | Katavi | Mpanda | -6.05 | 30.91667 | 0 | Africa/Dar_es_Salaam | populated place | |
| 160214 | Dindila | TZ | Tanga | Lushoto | -4.75 | 38.45 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 154305 | Mbuta | TZ | Tanga | Mkinga | -4.53333 | 38.93333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 159930 | Gando | TZ | Pemba North | Wete District | -4.98333 | 39.7 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 151874 | Ndagaa | TZ | Zanzibar North | -6.05 | 39.3 | 0 | Africa/Dar_es_Salaam | populated place | |||
| 149942 | Sigi | TZ | Tanga | Muheza District | -5.01667 | 38.8 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 154303 | Mbutu | TZ | Tabora | Igunga | -4.25 | 33.9 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 153408 | Mlangali | Mlangali | TZ | Njombe | Ludewa | -9.78333 | 34.51667 | 15168 | Africa/Dar_es_Salaam | populated place | |
| 877522 | Ngapa | TZ | Lindi | Lindi Urban | -10.01667 | 39.58333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 150687 | Pombwe | TZ | Tanga | Pangani | -5.4 | 38.86667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 153748 | Mitamani | TZ | Pemba South | Chake Chake District | -5.28333 | 39.78333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 153133 | Mpiji | Mpiji,Mpiyi | TZ | Pwani | Kibaha District | -6.86667 | 38.95 | 0 | Africa/Dar_es_Salaam | populated place | |
| 154020 | Mguzi | TZ | Morogoro | Morogoro Rural | -6.6 | 37.86667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 154221 | Mchangani | TZ | Zanzibar Central/South | Kusini | -6.38333 | 39.46667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 153443 | Mkwajuni | TZ | Zanzibar North | Kaskazini A | -5.88333 | 39.28333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 151438 | Kolandoto | Kolandoto,Kolondoto,Nkolondoto | TZ | Shinyanga | Shinyanga Urban | -3.6 | 33.53333 | 0 | Africa/Dar_es_Salaam | populated place | |
| 150296 | Salimanis | TZ | Mbeya | Chunya | -8.31667 | 33.66667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 151587 | Ngulu | TZ | Tanga | Lushoto | -4.81667 | 38.33333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 7391114 | Ruwe | Ruwe | TZ | Pwani | Rufiji | -7.90217 | 38.7912 | 0 | Africa/Dar_es_Salaam | populated place | |
| 154320 | Mbugwe | Mbugw,Mbugwe | TZ | Geita | -3.29583 | 31.29972 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 159851 | Giting | TZ | Manyara | Hanang District | -4.4 | 35.45 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 157075 | Kirondatal | TZ | Singida | Iramba | -4.38333 | 34.33333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 150966 | Nyiboko | TZ | Mara | Serengeti | -1.53333 | 34.48333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 159092 | Ipusuro | TZ | Singida | Ikungi | -5.33333 | 34.55 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 155049 | Malangano | TZ | Tabora | Igunga | -4.48333 | 33.55 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 877380 | Tuliana | TZ | Ruvuma | Namtumbo | -10.36667 | 36.33333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 154026 | Mgunda | TZ | Morogoro | Kilosa | -7.45 | 37.26667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 159189 | Ilonga | Ikongo,Ilonga | TZ | Morogoro | Ulanga | -9.06667 | 36.85 | 0 | Africa/Dar_es_Salaam | populated place | |
| 155589 | Lupatingatinga | TZ | Mbeya | Chunya | -8 | 33.25 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 159746 | Gundu | Gundu,Gunga | TZ | Mbeya | Chunya | -8.53333 | 33.53333 | 0 | Africa/Dar_es_Salaam | populated place | |
| 153197 | Mowezi | Mgwezi,Mowezi | TZ | Kigoma | Uvinza District | -5.05833 | 30.93889 | 0 | Africa/Dar_es_Salaam | populated place | |
| 154988 | Mamba | TZ | Katavi | Mlele | -7.31667 | 31.36667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 154323 | Mbugani | TZ | Mbeya | Chunya | -7.96667 | 33.3 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 157461 | Kilimangombe | TZ | Tanga | Pangani | -5.41667 | 38.88333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 877921 | Mirambo | TZ | Ruvuma | Songea | -11.36667 | 35.4 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 160767 | Buyuni | Buyuni,Mbuyuni | TZ | Pwani | -6.95 | 39.1 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 157417 | Kilolele | Kilolele,Kiloleli | TZ | Simiyu | Maswa District | -3.45 | 33.83333 | 0 | Africa/Dar_es_Salaam | populated place | |
| 150025 | Shia | TZ | Kilimanjaro | Moshi Rural District | -3.3 | 37.41667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 152210 | Mwasa | TZ | Singida | Manyoni | -5.73333 | 35.11667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 159345 | Iheme | TZ | Iringa | Mufindi | -8.45 | 35.03333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 158884 | Itonga | TZ | Simiyu | Busega | -2.25 | 33.86667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 154555 | Matumbo | TZ | Singida | Singida Rural District | -4.53333 | 34.9 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 159745 | Gungi | Gungi,Gungii | TZ | Dodoma | Chemba | -5.36667 | 35.35 | 0 | Africa/Dar_es_Salaam | populated place | |
| 153621 | Mkembe | Mkembe,Mkombe | TZ | Tanga | Tanga | -5.2 | 39.01667 | 0 | Africa/Dar_es_Salaam | populated place | |
| 156674 | Kivumoni | TZ | Pemba North | Wete District | -5.03333 | 39.68333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 7391121 | Umwo | Umwo | TZ | Pwani | Rufiji | -7.93898 | 38.98988 | 0 | Africa/Dar_es_Salaam | populated place | |
| 156306 | Kwale | TZ | Pemba North | Micheweni | -4.98333 | 39.83333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 156530 | Kombeni Uwandani | TZ | Zanzibar Urban/West | Magharibi | -6.25 | 39.26667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 157822 | Kidologwai | TZ | Tanga | Lushoto | -4.58333 | 38.25 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 153539 | Mkowalaanda | TZ | Pwani | Bagamoyo | -5.91667 | 37.85 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 157980 | Kibingo | TZ | Kagera | Kyerwa | -1.14333 | 30.66333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 155639 | Lulago | TZ | Tanga | Kilindi District | -5.61667 | 37.46667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 158054 | Kiagata | TZ | Mara | Butiama | -1.65 | 34.11667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 156594 | Kizumbi | TZ | Shinyanga | Shinyanga Urban | -3.7 | 33.4 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 149101 | Uswaa | TZ | Kilimanjaro | Hai | -3.26667 | 37.21667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 149084 | Utaga | TZ | Tabora | Nzega | -4.58333 | 33.25 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 153578 | Mkoma | TZ | Songwe | Songwe District | -8.58333 | 33.05 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 159750 | Gumanga | Gumanga | TZ | Singida | Mkalama | -4.23333 | 34.6 | 0 | Africa/Dar_es_Salaam | populated place | |
| 149244 | Ulemo | Ulemo | TZ | Singida | Iramba | -4.4 | 34.4 | 0 | Africa/Dar_es_Salaam | populated place | |
| 160355 | Chuini | TZ | Pemba South | Mkoani District | -5.4 | 39.63333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 161045 | Bububu | TZ | Zanzibar North | Kaskazini B | -5.93333 | 39.23333 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 151596 | Nguji | TZ | Dodoma | Dodoma Urban District | -6.24969 | 35.91598 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 152948 | Msoga | Msoga | TZ | Pwani | Bagamoyo | -6.56667 | 38.3 | 0 | Africa/Dar_es_Salaam | populated place | |
| 161254 | Banda Baya | TZ | Zanzibar Central/South | Kusini | -6.36667 | 39.46667 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 877392 | Tafi | TZ | Ruvuma | -10.95 | 34.65 | 0 | Africa/Dar_es_Salaam | populated place | |||
| 148742 | Zaizo | TZ | Tanga | Lushoto | -4.6 | 38.35 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 151258 | Nyakakiri | TZ | Kagera | Muleba | -2.26028 | 31.4775 | 0 | Africa/Dar_es_Salaam | populated place | ||
| 151686 | Ngelema | TZ | Pemba South | Chake Chake District | -5.28333 | 39.71667 | 0 | Africa/Dar_es_Salaam | populated place |
Tanzania: A Geographic Exploration of a Nation Defined by Diversity and Detail
Tanzania, a land where vast savannas meet majestic mountains and sprawling lakes, presents a fascinating study for any geographer. The nation’s cities are not just points on a map but integral components of a layered administrative system comprising regions and districts that reflect its rich cultural and ecological diversity. To truly understand Tanzania, one must delve into the granular details of its urban geography—details that are now more accessible than ever thanks to comprehensive datasets available in multiple formats.
Mapping Tanzania’s Administrative Landscape
The structure of Tanzania’s governance is mirrored in its geography, with cities nested within well-defined regions and districts. These administrative divisions play a crucial role in shaping everything from infrastructure development to resource allocation. Having access to detailed, up-to-date data on these divisions is invaluable for researchers, policymakers, and developers who aim to engage effectively with the country’s spatial dynamics.
Geographic coordinates—latitude and longitude—serve as the precise markers that anchor each city within Tanzania’s diverse terrain, facilitating accurate mapping and spatial analysis.
Precision Through Latitude and Longitude
Tanzania’s geography is complex, stretching from the coastal plains along the Indian Ocean to the highlands and the Serengeti plains. Knowing the exact latitude and longitude of each city enables nuanced understanding of spatial relationships and environmental contexts. This precision is critical for diverse applications, from disaster management in flood-prone areas to optimizing logistics for trade and tourism.
Excel: Bridging Complexity and Usability
While formats like CSV, SQL, JSON, and XML cater to specialized technical needs, the addition of the Excel (.xlsx) format is a game-changer for accessibility. Excel’s widespread familiarity and user-friendly interface allow a broad spectrum of users—from academic researchers to government officials—to explore, analyze, and manipulate Tanzanian geographic data with ease.
This format transforms raw data into an actionable resource, ensuring that insights derived from it can translate into informed decisions and strategic planning.
What the Dataset Offers
* Detailed listings of Tanzanian cities with their corresponding regions and districts
* Accurate latitude and longitude coordinates for each city, supporting precise geospatial mapping
* Multiple data formats including Excel (.xlsx), CSV, SQL, JSON, and XML to suit various user needs
Harnessing Data for Tanzania’s Development
In a nation as geographically and culturally diverse as Tanzania, data is more than numbers—it’s a foundation for sustainable growth and inclusive development. By understanding the spatial distribution of cities and their administrative contexts, stakeholders can better design infrastructure, allocate resources, and implement policies that respect local realities.
This comprehensive dataset acts as a critical tool in the hands of those working to unlock Tanzania’s full potential.
Embracing Tanzania’s Geographic Complexity
For geographers and enthusiasts alike, Tanzania’s varied landscape offers endless opportunities for exploration and discovery. With detailed, structured data—especially in the accessible Excel format—anyone can engage deeply with the spatial intricacies of this remarkable country, fostering a richer appreciation and more impactful action.
This is not just data; it is a gateway to understanding Tanzania’s unique place in the world.
