United Republic of Tanzania: 30 provinces, states and territories
Every administrative level, from the 30 first-level units down to ADM3, on a terrain map with people, density and sources.
United Republic of Tanzania by province, state and territory
30 first-level units and 170 second-level units inside them, raised by people per km² over the population grid and terrain. Select a unit to drill in or open its page.
Every administrative level of United Republic of Tanzania
Each level comes from the boundary source admitted for that country and level, with its own licence.
- ADM1
- 30 first-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · each with its own page
- ADM2
- 170 second-level units · geoBoundaries gbOpen · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · each with its own page
- ADM3
- 3,644 third-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · in the maps, tables and downloads of the pages above
All 30 first-level units
Two population estimates from open grids, summed inside each boundary. The CSV carries the first two levels; each unit page carries the levels below it.
Boundary licences: Open Data Commons Open Database License 1.0 · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Arusha | TZ-01 | 2,656,970 | 2,731,537 | 38,954 | 68 | 3.7% | 0 |
| Dar es Salaam | TZ-02 | 9,025,153 | 5,798,607 | 1,645 | 5,486 | 12.7% | 310,183 |
| Dodoma | TZ-03 | 2,983,528 | 3,447,528 | 41,417 | 72 | 4.2% | 0 |
| Geita | TZ-27 | 3,442,688 | 3,590,622 | 20,926 | 165 | 4.9% | 0 |
| Iringa | TZ-04 | 1,246,940 | 1,319,702 | 35,260 | 35 | 1.8% | 0 |
| Kagera | TZ-05 | 3,536,986 | 3,282,923 | 36,567 | 97 | 5% | 0 |
| Katavi | TZ-28 | 953,490 | 1,454,103 | 47,647 | 20 | 1.3% | 0 |
| Kigoma | TZ-08 | 3,327,617 | 2,675,332 | 47,981 | 69 | 4.7% | 0 |
| Kilimanjaro | TZ-09 | 2,215,527 | 1,898,979 | 12,547 | 177 | 3.1% | 0 |
| Lindi | TZ-12 | 1,046,566 | 1,264,972 | 66,667 | 16 | 1.5% | 14,149 |
| Manyara | TZ-26 | 2,464,659 | 2,158,196 | 47,160 | 52 | 3.5% | 0 |
| Mara | TZ-13 | 2,666,175 | 2,660,942 | 31,093 | 86 | 3.8% | 0 |
| Mbeya | TZ-14 | 4,268,910 | 4,077,530 | 61,675 | 69 | 6% | 0 |
| Morogoro | TZ-16 | 3,336,346 | 3,603,593 | 70,907 | 47 | 4.7% | 0 |
| Mtwara | TZ-17 | 1,709,643 | 1,786,343 | 17,803 | 96 | 2.4% | 20,274 |
| Mwanza | TZ-18 | 4,182,133 | 4,218,550 | 24,752 | 169 | 5.9% | 0 |
| Njombe | TZ-29 | 878,498 | 982,090 | 20,732 | 42 | 1.2% | 0 |
| North Pemba | TZ-06 | 197,678 | 216,354 | 546 | 362 | 0.3% | 55,159 |
| Pwani | TZ-19 | 1,632,758 | 2,482,032 | 32,140 | 51 | 2.3% | 42,020 |
| Rukwa | TZ-20 | 1,634,333 | 1,735,907 | 27,874 | 59 | 2.3% | 0 |
| Ruvuma | TZ-21 | 1,954,373 | 2,019,278 | 62,955 | 31 | 2.8% | 0 |
| Shinyanga | TZ-22 | 2,241,158 | 2,550,829 | 16,498 | 136 | 3.2% | 0 |
| Simiyu | TZ-30 | 2,709,032 | 2,369,565 | 24,757 | 109 | 3.8% | 0 |
| Singida | TZ-23 | 2,115,571 | 2,329,822 | 50,672 | 42 | 3% | 0 |
| South Pemba | TZ-10 | 207,614 | 250,927 | 456 | 455 | 0.3% | 30,875 |
| Tabora | TZ-24 | 3,808,723 | 3,928,089 | 75,925 | 50 | 5.4% | 0 |
| Tanga | TZ-25 | 3,022,785 | 2,768,331 | 26,698 | 113 | 4.3% | 47,029 |
| Zanzibar North | TZ-07 | 342,679 | 385,321 | 563 | 609 | 0.5% | 8,504 |
| Zanzibar South & Central | TZ-11 | 122,759 | 174,288 | 840 | 146 | 0.2% | 12,963 |
| Zanzibar Urban/West | TZ-15 | 942,617 | 852,258 | 186 | 5,068 | 1.3% | 53,678 |
Subnational risk products
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen TZA ADM1, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2015. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen TZA ADM2, source: Tanzania National Bureau of Statistics / UN OCHA ROSA, OCHA ROSA, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2021
- ADM3 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen TZA ADM3, source: OpenStreetMap © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2015. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- Basemap
- OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
- Terrain
- Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
- People
- GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
- দেশ
- Natural Earth (public domain).
- Elevation
- GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
- Position
- Boundaries are shown for location only and take no position on any boundary, name or status.
Explore United Republic of Tanzania
Open any unit, download every level, or run a scenario on open data.
অবস্থা
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
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NXS-GRX যা নয়
NXS-GRX গবেষণা ও ঝুঁকি-বিশ্লেষণ তথ্য। এটি ঋণ বা ESG রেটিং নয় এবং কোনো রেটিং স্কেল ব্যবহার করে না; এটি আর্থিক উপকরণের বেঞ্চমার্ক নয়, সরকারি পরিসংখ্যান নয়, জরুরি সতর্কবার্তা বা সরকারি শ্রেণিবিভাগ নয় এবং পরামর্শ নয়। প্রাকৃতিক ব্যক্তিদের মূল্যায়নে এটি ব্যবহার করা যাবে না। ঝুঁকির শ্রেণি হলো একটি প্রকাশিত স্কেলের ব্যান্ড, কখনো দেশ বা মানুষের র্যাংকিং নয়।
Pulse সংকেত ও পূর্বাভাসের সম্ভাবনা উপযুক্ত কর্তৃপক্ষের পর্যালোচনার জন্য তথ্য, কখনো জনসাধারণের সতর্কবার্তা নয়; আনুষ্ঠানিক সতর্কবার্তা কেবল অনুমোদিত কর্তৃপক্ষ থেকে আসে।
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Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.