Guinea Bissau 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 Guinea Bissau, 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 3878 geographic locations across Guinea Bissau.
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 Guinea Bissau is Bissau.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2374639 | Botê | GW | Cacheu | 12.15028 | -15.70667 | 0 | Africa/Bissau | populated place | |||
| 2372713 | Fadè Sana | GW | 12.35 | -14.73333 | 0 | Africa/Bissau | populated place | ||||
| 2374021 | Campampe | Campampe,Campampi | GW | 11.96667 | -14.81667 | 0 | Africa/Bissau | populated place | |||
| 2369940 | Sare DÃurè | GW | 12.6 | -14.95 | 0 | Africa/Bissau | populated place | ||||
| 2373843 | Canhe | GW | 12.05 | -16.26667 | 0 | Africa/Bissau | populated place | ||||
| 2375224 | Bajeto | GW | 12.23333 | -16.21667 | 0 | Africa/Bissau | populated place | ||||
| 2369703 | Sinchã Ali | Cajel,Samba Ali,Sincha Ali,Sincha Aliu,Sinchã Ali,Sinchã Aliu | GW | 12.2 | -14.68333 | 0 | Africa/Bissau | populated place | |||
| 2373905 | Candemba Uri | GW | 12.25 | -14.58333 | 0 | Africa/Bissau | populated place | ||||
| 2373698 | Canturé | GW | 12.06667 | -14.9 | 0 | Africa/Bissau | populated place | ||||
| 2369717 | Sinchã Ahiné | GW | 12.35 | -14.4 | 0 | Africa/Bissau | populated place | ||||
| 2374436 | Buruntuma | Buruntuma | GW | 12.43333 | -13.65 | 0 | Africa/Bissau | populated place | |||
| 2373571 | Cassinate | GW | 12.06667 | -15.8 | 0 | Africa/Bissau | populated place | ||||
| 2375447 | Ambereno | GW | 11.5 | -16.31667 | 0 | Africa/Bissau | populated place | ||||
| 2375053 | Bariapende | Barepende,Bariapende | GW | Cacheu | 12.05722 | -16.19694 | 0 | Africa/Bissau | populated place | ||
| 2370461 | Queficine | GW | 12.26667 | -15.66667 | 0 | Africa/Bissau | populated place | ||||
| 2369257 | Sinchã Umaru | GW | 11.93333 | -14.65 | 0 | Africa/Bissau | populated place | ||||
| 2369297 | Sinchã Sori | GW | 12.3 | -14.11667 | 0 | Africa/Bissau | populated place | ||||
| 2373742 | Cantaelcunda | Cantacoi Cunda,Cantaelcunda | GW | 12.55 | -14.35 | 0 | Africa/Bissau | populated place | |||
| 2370161 | Samba Silate | GW | 12 | -14.93333 | 0 | Africa/Bissau | populated place | ||||
| 2368868 | Uangane | GW | 11.28333 | -15.06667 | 0 | Africa/Bissau | populated place | ||||
| 2371450 | Maqué | GW | Oio | 12.2925 | -15.38833 | 0 | Africa/Bissau | populated place | |||
| 2370237 | Salanca | GW | 11.53333 | -15.56667 | 0 | Africa/Bissau | populated place | ||||
| 2370755 | Piol | GW | 11.8 | -16.06667 | 0 | Africa/Bissau | populated place | ||||
| 2370117 | Sana Marum | Sana Marum,Sano Umaru | GW | 11.65 | -14.76667 | 0 | Africa/Bissau | populated place | |||
| 2372034 | Iusse | Iusse,Iussi | GW | 11.76667 | -15.38333 | 0 | Africa/Bissau | populated place | |||
| 2374175 | Calema Nalu | GW | 11.35 | -15.33333 | 0 | Africa/Bissau | populated place | ||||
| 2375439 | Amedalai | GW | 11.7 | -14.76667 | 0 | Africa/Bissau | populated place | ||||
| 2374260 | Cafal Balanta | GW | 11.2 | -15.15 | 0 | Africa/Bissau | populated place | ||||
| 2371697 | Madina | GW | 12.06667 | -14.98333 | 0 | Africa/Bissau | populated place | ||||
| 2374344 | Cacante | Cacante,Cacanto | GW | 12.1 | -15.96667 | 0 | Africa/Bissau | populated place | |||
| 2372465 | Gã Maior de Cima | Ga Maior de Cima,Gam Major,Gã Maior de Cima | GW | 11.6 | -15.4 | 0 | Africa/Bissau | populated place | |||
| 2374981 | Bele | GW | 11.83333 | -15.76667 | 0 | Africa/Bissau | populated place | ||||
| 2374159 | Caluque | GW | Cacheu | 12.13194 | -15.74667 | 0 | Africa/Bissau | populated place | |||
| 2369023 | Tassilimã | GW | 12.26667 | -14.15 | 0 | Africa/Bissau | populated place | ||||
| 2370196 | Samba Candé | GW | 12.45 | -15.08333 | 0 | Africa/Bissau | populated place | ||||
| 2368671 | Viana | GW | 11.23333 | -14.88333 | 0 | Africa/Bissau | populated place | ||||
| 2372463 | Gamalã Jasse | Candiobe,Gamala Jasse,Gamala Jassi,Gamalã Jasse,Gamalã Jassi | GW | 11.95 | -15.05 | 0 | Africa/Bissau | populated place | |||
| 2373232 | Copà | Cofa,Cofá,Copa,Copà | GW | 12.65 | -13.91667 | 0 | Africa/Bissau | populated place | |||
| 2375108 | Bantajã | Bantaja,Bantajã,Bantanjam | GW | 12.48333 | -15.21667 | 0 | Africa/Bissau | populated place | |||
| 2373764 | Cansocó Mandinga | GW | 12.33333 | -15.36667 | 0 | Africa/Bissau | populated place | ||||
| 2372664 | Farambange | GW | 11.75 | -14.01667 | 0 | Africa/Bissau | populated place | ||||
| 2372661 | Farancunda | GW | 11.66667 | -15.38333 | 0 | Africa/Bissau | populated place | ||||
| 2374872 | Bijante | GW | 11.28333 | -15.83333 | 0 | Africa/Bissau | populated place | ||||
| 2370694 | Ponta Augusto Correia | GW | 11.9 | -15.73333 | 0 | Africa/Bissau | populated place | ||||
| 2373067 | Cuntim | GW | 12.41667 | -13.98333 | 0 | Africa/Bissau | populated place | ||||
| 2372242 | Gulcunhe | GW | Oio | 12.24583 | -15.43361 | 0 | Africa/Bissau | populated place | |||
| 2373355 | Churobrique | Charobrique,Churabrique,Churobrique | GW | Cacheu | 12.13583 | -16.04833 | 0 | Africa/Bissau | populated place | ||
| 2371838 | Lala | GW | 11.5 | -15.38333 | 0 | Africa/Bissau | populated place | ||||
| 2372167 | Ieroiel | GW | 11.53333 | -14.85 | 0 | Africa/Bissau | populated place | ||||
| 2373904 | Candembuia | Cam Dembafim,Candembuia | GW | 12.03333 | -14.68333 | 0 | Africa/Bissau | populated place | |||
| 2369550 | Sinchã Duló | GW | 12.5 | -14.71667 | 0 | Africa/Bissau | populated place | ||||
| 2374922 | Beteche | GW | 11.96667 | -16.06667 | 0 | Africa/Bissau | populated place | ||||
| 2375153 | Bancolene | GW | 12.43333 | -14.58333 | 0 | Africa/Bissau | populated place | ||||
| 2371170 | Nhané | GW | Oio | 12.36083 | -15.40667 | 0 | Africa/Bissau | populated place | |||
| 2374895 | Bidè | GW | 11.7 | -14.8 | 0 | Africa/Bissau | populated place | ||||
| 2370807 | Perebe | GW | 12.06667 | -16.18333 | 0 | Africa/Bissau | populated place | ||||
| 2372744 | Entomané | GW | 10.96667 | -15.68333 | 0 | Africa/Bissau | populated place | ||||
| 2372678 | Fangasse | Fangasse,Fongasse | GW | Cacheu | 12.41083 | -15.9325 | 0 | Africa/Bissau | populated place | ||
| 2371100 | Norobanta Mandinga | GW | Oio | 12.62444 | -15.06694 | 0 | Africa/Bissau | populated place | |||
| 2370293 | Rosa | GW | 12.1 | -14.71667 | 0 | Africa/Bissau | populated place | ||||
| 2369878 | Sare Mamudo | Sare Mamude,Sare Mamudo | GW | 12.51667 | -14.71667 | 0 | Africa/Bissau | populated place | |||
| 2371642 | Madina Quejau | Madina Queba,Madina Quebá,Madina Quejau | GW | 12.18333 | -14.56667 | 0 | Africa/Bissau | populated place | |||
| 2371772 | Lenquetó | Lenqueto,Lenquetó,Sare Bailo | GW | 12.66667 | -14.46667 | 0 | Africa/Bissau | populated place | |||
| 2372116 | Inchandanga Balanta | Chadanga Balanta,Inchandanga Balanta | GW | 11.78333 | -14.9 | 0 | Africa/Bissau | populated place | |||
| 2373065 | Cuntima | GW | Oio | 12.65611 | -15.00028 | 0 | Africa/Bissau | populated place | |||
| 2368983 | Ticache | GW | Cacheu | 12.21111 | -15.75361 | 0 | Africa/Bissau | populated place | |||
| 2368825 | Udeque | GW | 12.1 | -15.8 | 0 | Africa/Bissau | populated place | ||||
| 2369588 | Sinchã Damã | GW | 11.65 | -14.71667 | 0 | Africa/Bissau | populated place | ||||
| 2371671 | Madina Colhida | Madina Colhida,Madina Colhido | GW | 11.95 | -14.95 | 0 | Africa/Bissau | populated place | |||
| 2373738 | Cantambá | GW | 11.4 | -15.4 | 0 | Africa/Bissau | populated place | ||||
| 2370103 | Sancorlá | GW | 12.11667 | -14.91667 | 0 | Africa/Bissau | populated place | ||||
| 2373209 | Cossarandim | Cassarandim,Cossarandim | GW | 12.13333 | -14.96667 | 0 | Africa/Bissau | populated place | |||
| 2369389 | Sinchã Ninha | GW | 11.9 | -14.66667 | 0 | Africa/Bissau | populated place | ||||
| 2369849 | Sare Patè | GW | 12.61667 | -14.9 | 0 | Africa/Bissau | populated place | ||||
| 2374849 | Binan Alimo | GW | 12.35 | -13.9 | 0 | Africa/Bissau | populated place | ||||
| 2371060 | Ome | GW | 11.95 | -15.78333 | 0 | Africa/Bissau | populated place | ||||
| 2375291 | Babanda | GW | Cacheu | 12.08694 | -16.0325 | 0 | Africa/Bissau | populated place | |||
| 2372247 | Guipepe | GW | 11.98333 | -15.98333 | 0 | Africa/Bissau | populated place | ||||
| 2374939 | Beracòzinho | GW | Oio | 12.30806 | -15.21083 | 0 | Africa/Bissau | populated place | |||
| 2370228 | Saliquinhé | Saliquinhe,Saliquinhé,Salquenha | GW | 11.15 | -14.88333 | 0 | Africa/Bissau | populated place | |||
| 2369947 | Sare Dembel | GW | 12.25 | -14.83333 | 0 | Africa/Bissau | populated place | ||||
| 2375344 | Anhimango | Anhimango,Aniamango | GW | 11.28333 | -15.86667 | 0 | Africa/Bissau | populated place | |||
| 2371370 | Méro | GW | 12.06667 | -14.86667 | 0 | Africa/Bissau | populated place | ||||
| 2368736 | Unfotote | GW | Cacheu | 12.195 | -15.74833 | 0 | Africa/Bissau | populated place | |||
| 2369461 | Sinchã Lale | Sincha Abdulai,Sincha Lale,Sinchã Abdulai,Sinchã Lale | GW | 12.16667 | -14.36667 | 0 | Africa/Bissau | populated place | |||
| 2370673 | Ponta Califórnia | California,Califórnia,Ponta California,Ponta Califórnia | GW | 11.91667 | -15.78333 | 0 | Africa/Bissau | populated place | |||
| 2374657 | Bonhama | GW | 11.96667 | -14.7 | 0 | Africa/Bissau | populated place | ||||
| 2371695 | Madina | GW | 12.23333 | -14.6 | 0 | Africa/Bissau | populated place | ||||
| 2372659 | Farancunda | GW | 12.28333 | -14.75 | 0 | Africa/Bissau | populated place | ||||
| 2373903 | Candemode | Cam Demad,Cam Demád,Candemode | GW | 12.2 | -14.6 | 0 | Africa/Bissau | populated place | |||
| 2372409 | Gandembel | Candembel,Gandembel | GW | 11.36667 | -14.8 | 0 | Africa/Bissau | populated place | |||
| 2373504 | Cã Uérè | GW | 11.75 | -15.4 | 0 | Africa/Bissau | populated place | ||||
| 2373385 | Cholufe | GW | 11.96667 | -15.6 | 0 | Africa/Bissau | populated place | ||||
| 2369558 | Sinchã Dolonguel | Mampatim,Sincha Dolonguel,Sinchã Dolonguel | GW | 12.56667 | -13.93333 | 0 | Africa/Bissau | populated place | |||
| 2371241 | Nétèrè | GW | 12.36667 | -13.71667 | 0 | Africa/Bissau | populated place | ||||
| 2372526 | Gã Chiquinho Mancanha | GW | 11.85 | -15.26667 | 0 | Africa/Bissau | populated place | ||||
| 2370641 | Ponta Geraldo Landim | Ponta Geraldo,Ponta Geraldo Landim | GW | Cacheu | 12.01722 | -15.72222 | 0 | Africa/Bissau | populated place | ||
| 2374719 | Boata | Boata,Buata | GW | 11.76667 | -16.08333 | 0 | Africa/Bissau | populated place | |||
| 2375270 | Bachetebacute | GW | 11.98333 | -16.1 | 0 | Africa/Bissau | populated place | ||||
| 2374798 | Bissabur | GW | Cacheu | 12.40528 | -15.70444 | 0 | Africa/Bissau | populated place |
Guinea-Bissau: A Geographic Mosaic Waiting to Be Mapped
Where the Rivers Meet the Archipelago
Guinea-Bissau is often overlooked on the cartographic canvas of West Africa, yet for those of us who approach geography as more than topography, this nation is a captivating study in spatial nuance. Between its meandering river deltas, lush mangrove corridors, and scattered Bijagós Islands, Guinea-Bissau is a geographic puzzle begging for precision—and passion. To truly understand this country, one must map not only its terrain but also its urban heartbeat: its cities.
Cities as Microcosms of Regional Identity
From Bissau, the capital perched on the Geba River, to the lesser-known yet historically rich cities like Bafatá and Gabú, each urban center serves as a reflection of its surrounding region and department. The spatial organization of these settlements reveals patterns of trade, history, ecology, and governance. It is precisely for this reason that I’ve committed myself to compiling a detailed and structured database of all cities in Guinea-Bissau, each tied to its region and department.
This isn't just administrative categorization. It’s the foundation for serious analysis. When a city is properly indexed with its administrative region, you can begin to see how governance, resources, and development interact spatially.
Why Latitude and Longitude Still Matter
In a world of GPS and real-time satellite imagery, the basics of geographical data—latitude and longitude—remain critical. Guinea-Bissau's terrain is a delicate dance of coast, wetland, and forest, where even minor variations in coordinates can shift the context entirely. A settlement nestled deep within the Oio region may experience completely different socio-environmental conditions than a coastal city in Bolama.
Our dataset respects this complexity by assigning precise coordinates to each city. These geospatial anchors enable applications across environmental science, logistics, digital infrastructure, and even archaeology.
Excel as the New Frontier of Accessibility
Perhaps the most exciting development in our data offering is the integration of Excel (.xlsx) as a native format. While formats like CSV, SQL, JSON, and XML provide flexibility for developers and analysts, Excel bridges the gap between raw data and real-world application.
Excel makes Guinea-Bissau’s city data explorable—even for those without coding knowledge. With simple filters and pivot tables, users can compare cities by department, identify urban clusters, or trace regional development trends. Educators, urban planners, aid organizations, and curious students alike can now engage directly with the country’s spatial makeup through a familiar and powerful tool.
This is more than just data presentation. It’s data democratization.
The Administrative Framework: Regions and Departments
Guinea-Bissau's administrative divisions are not arbitrary. Each region—from Cacheu in the northwest to Tombali in the south—encapsulates distinct linguistic, ecological, and cultural identities. Within them, departments function as sub-national engines of policy and resource distribution.
Mapping cities within this structure provides a layered understanding of how Guinea-Bissau functions as a state. It also enables more accurate targeting for public services, infrastructure development, and environmental monitoring.
Our database is designed with this hierarchy in mind. Users don’t just get a list of names; they receive a spatial and administrative roadmap of the nation.
Building a Data-Rich Future for Guinea-Bissau
In a world where data drives action, Guinea-Bissau can no longer afford to be an afterthought on digital maps. Whether you’re tracing migration patterns, setting up mobile infrastructure, or planning disaster response, knowing exactly where each city lies—and under which administrative authority—is essential.
And now, with access to structured city data in Excel, CSV, SQL, JSON, and XML, that clarity is within reach.
Conclusion: Geography is the Language of Strategy
Guinea-Bissau is more than a pin on a map. It is a dynamic web of geography, history, culture, and governance. With the right data tools—especially the power and accessibility of Excel—anyone can begin to explore this complexity with confidence and purpose.
Our database exists to empower that journey: accurate, organized, and available in the formats that matter. For Guinea-Bissau, and for those who seek to understand it, this is where informed exploration begins.
