Angola 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 Angola, 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 15756 geographic locations across Angola.
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 Angola is Luanda.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3351376 | Cacongala | AO | Huambo | -12.61667 | 15.53333 | 0 | Africa/Luanda | populated place | |||
| 7866607 | Zunzua | AO | Kwanza Sul | -10.80791 | 14.37573 | 0 | Africa/Luanda | populated place | |||
| 3349011 | Cutembo | Catembo,Cutembo | AO | Huíla | -13.85 | 14.1 | 0 | Africa/Luanda | populated place | ||
| 7746580 | Quindinga | AO | Uíge | -7.44857 | 15.22706 | 0 | Africa/Luanda | populated place | |||
| 2592090 | Caluia | AO | Malanje | -9.42724 | 16.42136 | 0 | Africa/Luanda | populated place | |||
| 2241623 | Cuímba | Banza Cuimba,Cuimba,Cuimbo,Cuímba,Kuimba,Kuimbo,Куимба | AO | Zaire | -6.12085 | 14.62086 | 0 | Africa/Luanda | populated place | ||
| 2242517 | Canhongo | Canhonga,Canhongo | AO | Malanje | -9.01939 | 15.80121 | 0 | Africa/Luanda | populated place | ||
| 7860328 | Diquita Quinguilo | AO | Kwanza Sul | -11.11023 | 14.93229 | 0 | Africa/Luanda | populated place | |||
| 3346447 | Quizanga | Kizanga,Quizanga | AO | Kwanza Sul | -11.047 | 14.73483 | 0 | Africa/Luanda | populated place | ||
| 7891491 | Camba Cassassa | AO | Lunda Sul | -10.28149 | 18.54345 | 0 | Africa/Luanda | populated place | |||
| 3346388 | Sacaia | Sacaeio,Sacaia | AO | Malanje | -10.96667 | 17.6 | 0 | Africa/Luanda | populated place | ||
| 7782935 | Demba | AO | Bengo | -9.75013 | 13.87386 | 0 | Africa/Luanda | populated place | |||
| 145585 | Saipanga | AO | Luanda Norte | -8.66667 | 20.83333 | 0 | Africa/Luanda | populated place | |||
| 2238648 | Sumpi | Lumueno,Quibenga,Sumpi | AO | Zaire | -6.04537 | 14.15358 | 0 | Africa/Luanda | populated place | ||
| 7693648 | Quipemba | AO | Uíge | -6.07162 | 15.68569 | 0 | Africa/Luanda | populated place | |||
| 7778084 | Muquingi | AO | Luanda Norte | -9.35006 | 19.37415 | 0 | Africa/Luanda | populated place | |||
| 3371608 | Cassola | AO | Huambo | -13.21502 | 15.6365 | 0 | Africa/Luanda | populated place | |||
| 876405 | Chinguina | Chinguina,Shingina | AO | Moxico | -14.55 | 21.11667 | 0 | Africa/Luanda | populated place | ||
| 7863802 | Mucoto | AO | Moxico | -10.67573 | 22.22111 | 0 | Africa/Luanda | populated place | |||
| 2238167 | Quimbenza | AO | Uíge | -6.91667 | 15.21667 | 0 | Africa/Luanda | populated place | |||
| 3350151 | Cavôco | Cacovare,Cavoco,Cavôco | AO | Bíe | -12.15 | 17.71667 | 0 | Africa/Luanda | populated place | ||
| 2238460 | Quidialeque | AO | Uíge | -6.66667 | 14.86667 | 0 | Africa/Luanda | populated place | |||
| 7906693 | Lucunga A | AO | Huíla | -14.70174 | 16.03589 | 0 | Africa/Luanda | populated place | |||
| 2239170 | Muquixe | Muquia,Muquixe | AO | Malanje | -9.5 | 16.65 | 0 | Africa/Luanda | populated place | ||
| 2592058 | Camassoco | AO | Malanje | -9.38815 | 16.39649 | 0 | Africa/Luanda | populated place | |||
| 12235821 | Capuengue | AO | Moxico | -11.74282 | 19.72963 | 0 | Africa/Luanda | populated place | |||
| 7696366 | Cautoto Terceiro | AO | Luanda Norte | -7.89935 | 21.43011 | 0 | Africa/Luanda | populated place | |||
| 12327624 | Catala | AO | Huíla | -13.72678 | 14.76221 | 0 | Africa/Luanda | populated place | |||
| 2236849 | Tango | AO | Uíge | -8.12263 | 15.83681 | 0 | Africa/Luanda | populated place | |||
| 7865769 | Havemos de Voltar | AO | Kwanza Sul | -10.70056 | 14.97647 | 0 | Africa/Luanda | populated place | |||
| 3350719 | Canhanga | Canbanga,Canhanga | AO | Kwanza Sul | -11.85 | 15.01667 | 0 | Africa/Luanda | populated place | ||
| 876316 | Curunga | Curunga,Kurunga | AO | Moxico | -12.85 | 21.2 | 0 | Africa/Luanda | populated place | ||
| 3351721 | Bango | Bango,Embala Bango | AO | Kwanza Sul | -11.35152 | 14.22259 | 0 | Africa/Luanda | populated place | ||
| 876472 | Chalapa | Chalapa,Chalopo | AO | Moxico | -10.96667 | 22.08333 | 0 | Africa/Luanda | populated place | ||
| 876598 | Canega | Canega,Sezane | AO | Moxico | -14.4 | 21.66667 | 0 | Africa/Luanda | populated place | ||
| 875624 | Zenzengoma | Zazegoma,Zenzengoma,Zezegoma,Zezengona | AO | Moxico | -12.93333 | 22.38333 | 0 | Africa/Luanda | populated place | ||
| 3351435 | Cachicala | AO | Huambo | -12.98333 | 14.98333 | 0 | Africa/Luanda | populated place | |||
| 2237925 | Quingongo | Quingongo,Quionga,Quiongua | AO | Malanje | -9.13233 | 16.05109 | 0 | Africa/Luanda | populated place | ||
| 7902891 | Tchicala | AO | Benguela | -12.27418 | 14.81018 | 0 | Africa/Luanda | populated place | |||
| 3349713 | Chinguri | Chimpuri,Chinguri | AO | Huambo | -12.53333 | 15.91667 | 0 | Africa/Luanda | populated place | ||
| 2239068 | Mbanza Negage | GXG,Mbanza Negage,N’gage,Negage,N’gage,Негаге | AO | Uíge | -7.78871 | 15.27215 | 0 | Africa/Luanda | populated place | ||
| 145816 | Chauma | AO | Lunda Sul | -8.81667 | 20.98333 | 0 | Africa/Luanda | populated place | |||
| 2238013 | Quinda | Inda,Lucunga Inda,Quinda | AO | Uíge | -7.61667 | 15.28333 | 0 | Africa/Luanda | populated place | ||
| 3371934 | Tchicole | AO | Huambo | -12.51764 | 15.4796 | 0 | Africa/Luanda | populated place | |||
| 7756191 | Massesse | AO | Malanje | -8.87753 | 17.22005 | 0 | Africa/Luanda | populated place | |||
| 2243577 | Bilo | Bilo,Quissunda | AO | Uíge | -7.2709 | 14.97906 | 0 | Africa/Luanda | populated place | ||
| 7891363 | Satchivula | AO | Lunda Sul | -10.48781 | 18.60888 | 0 | Africa/Luanda | populated place | |||
| 3348114 | Jorge | AO | Benguela | -12.5 | 14.46667 | 0 | Africa/Luanda | populated place | |||
| 3347515 | Malanca | AO | Kwanza Sul | -11.56667 | 15.31667 | 0 | Africa/Luanda | populated place | |||
| 12327491 | Tchindovi | Loaco,Tchindovi | AO | Huíla | -13.77607 | 14.6379 | 0 | Africa/Luanda | populated place | ||
| 12247400 | Uilala | AO | Huambo | -12.77653 | 14.85035 | 0 | Africa/Luanda | populated place | |||
| 2241035 | Ganzi | Ganz,Ganzi | AO | Cabinda | -5.4 | 12.3 | 0 | Africa/Luanda | populated place | ||
| 2238082 | Quimonha | AO | Malanje | -8.91667 | 15.96667 | 0 | Africa/Luanda | populated place | |||
| 2236650 | Mbanza Tumba | Mbanza Tumba,Tumba | AO | Uíge | -6.676 | 14.94973 | 0 | Africa/Luanda | populated place | ||
| 7767865 | Carima | AO | Luanda Norte | -8.86552 | 18.78596 | 0 | Africa/Luanda | populated place | |||
| 7767768 | Cabu | AO | Luanda Norte | -8.70662 | 18.76535 | 0 | Africa/Luanda | populated place | |||
| 7757775 | Ndala Calunga | AO | Malanje | -8.66961 | 16.71897 | 0 | Africa/Luanda | populated place | |||
| 2240691 | Quindegi | Beca Monteira,Beca Monteiro,Besa Monteiro,Bessa Monteiro,Beça Monteiro,Kindeje,Quindege,Quindegi,Quindeje,Quinoeje | AO | Zaire | -7.15648 | 13.63689 | 0 | Africa/Luanda | populated place | ||
| 2241194 | Fazenda Progresso | Fazenda Esperanca,Fazenda Esperança,Fazenda Progresso | AO | Malanje | -9.43333 | 15.85 | 0 | Africa/Luanda | populated place | ||
| 7868392 | Ngana Ngonga | AO | Malanje | -10.17974 | 17.33564 | 0 | Africa/Luanda | populated place | |||
| 145933 | Cacasi | AO | Luanda Norte | -7.5 | 20.53333 | 0 | Africa/Luanda | populated place | |||
| 3372294 | Tecapumo | AO | -12.86694 | 13.10167 | 0 | Africa/Luanda | populated place | ||||
| 7908342 | Quanza | AO | Huíla | -14.67754 | 15.99671 | 0 | Africa/Luanda | populated place | |||
| 7742239 | Mucoco | AO | Malanje | -8.26719 | 16.21486 | 0 | Africa/Luanda | populated place | |||
| 7766155 | Tchijilege | AO | Lunda Sul | -11.03475 | 20.19082 | 0 | Africa/Luanda | populated place | |||
| 7906688 | Bua Mavolovolo | AO | Huíla | -14.60453 | 16.04574 | 0 | Africa/Luanda | populated place | |||
| 2237569 | Quissulo | Cusso,Kusso,Quissulo,Quisulo | AO | Uíge | -6.45 | 14.95 | 0 | Africa/Luanda | populated place | ||
| 7856000 | Nguengi | AO | Kwanza Sul | -10.29812 | 15.16005 | 0 | Africa/Luanda | populated place | |||
| 7900239 | Dombo | AO | Malanje | -10.7088 | 16.85756 | 0 | Africa/Luanda | populated place | |||
| 3350616 | Capauve | Cabare,Capauve | AO | Bíe | -12.51667 | 17.58333 | 0 | Africa/Luanda | populated place | ||
| 2241157 | F. Franqueira | AO | Cuanza Norte | -8.98333 | 14.7 | 0 | Africa/Luanda | populated place | |||
| 7763047 | Quifolo | AO | Cuanza Norte | -8.71995 | 15.28598 | 0 | Africa/Luanda | populated place | |||
| 12328067 | Gorno | AO | Huambo | -13.25868 | 15.34679 | 0 | Africa/Luanda | populated place | |||
| 8633751 | Quimbuengo | AO | Zaire | -6.60046 | 12.56035 | 0 | Africa/Luanda | populated place | |||
| 12280878 | Lundungo | AO | Benguela | -13.21724 | 14.5364 | 0 | Africa/Luanda | populated place | |||
| 7855586 | Ngolalombo | AO | Kwanza Sul | -10.3116 | 13.60045 | 0 | Africa/Luanda | populated place | |||
| 7771447 | Camuegi | AO | Malanje | -9.16126 | 16.38247 | 0 | Africa/Luanda | populated place | |||
| 7697814 | Maimba | AO | Uíge | -6.34825 | 16.60482 | 0 | Africa/Luanda | populated place | |||
| 7744321 | Ngola Muinga | AO | Malanje | -8.35299 | 17.02188 | 0 | Africa/Luanda | populated place | |||
| 7900753 | Sinai | AO | Malanje | -10.58653 | 17.56514 | 0 | Africa/Luanda | populated place | |||
| 2242215 | Cassule Candala | Cassule Candala,Casua | AO | Malanje | -9.46667 | 16.86667 | 0 | Africa/Luanda | populated place | ||
| 12328971 | Gambulo | AO | Huambo | -13.56802 | 15.72862 | 0 | Africa/Luanda | populated place | |||
| 3351144 | Calique | AO | Huambo | -11.83333 | 15.58333 | 0 | Africa/Luanda | populated place | |||
| 2238780 | Quesso | AO | Bengo | -8.5754 | 14.30349 | 0 | Africa/Luanda | populated place | |||
| 7688664 | Ngando | AO | Zaire | -6.00226 | 14.6943 | 0 | Africa/Luanda | populated place | |||
| 12236011 | Sacazemba | AO | Moxico | -11.62334 | 20.43411 | 0 | Africa/Luanda | populated place | |||
| 12415224 | Tchimbolele | AO | Huíla | -15.46599 | 14.26178 | 0 | Africa/Luanda | populated place | |||
| 876529 | Cassupa-Quai | Cassupa-Quai,Casupa | AO | Moxico | -12.98333 | 22.5 | 0 | Africa/Luanda | populated place | ||
| 2238636 | Quibinda | AO | Malanje | -9.72528 | 16.14833 | 0 | Africa/Luanda | populated place | |||
| 7908315 | Sassi | AO | Huíla | -14.59241 | 15.74553 | 0 | Africa/Luanda | populated place | |||
| 7901737 | Ndungo | AO | Bíe | -11.80701 | 17.47559 | 0 | Africa/Luanda | populated place | |||
| 7759400 | Ngombe | Chirl,Ngombe | AO | Bengo | -8.50517 | 14.43316 | 0 | Africa/Luanda | populated place | ||
| 2239270 | Mufuma | AO | Malanje | -9.19451 | 16.4844 | 0 | Africa/Luanda | populated place | |||
| 3351680 | Belania | AO | Huambo | -11.65 | 15.53333 | 0 | Africa/Luanda | populated place | |||
| 2237907 | Quingungo | AO | Uíge | -6.46138 | 15.28184 | 0 | Africa/Luanda | populated place | |||
| 2239201 | Mundanga | AO | Luanda Norte | -9.55 | 19.16667 | 0 | Africa/Luanda | populated place | |||
| 3351023 | Caluquembe | Caluquembe | AO | Huíla | -13.86667 | 14.43333 | 0 | Africa/Luanda | populated place | ||
| 2239697 | Massango | AO | Malanje | -9.16667 | 15.91667 | 0 | Africa/Luanda | populated place | |||
| 7900761 | Bissanzo | AO | Malanje | -10.6863 | 17.66435 | 0 | Africa/Luanda | populated place | |||
| 3346161 | São Lucas | Sao Lucas,São Lucas,Tomei | AO | Kwanza Sul | -10.94475 | 16.11964 | 0 | Africa/Luanda | populated place |
Angola: Tracing the Pulse of a Nation Through Geographic Precision
The Geographic Soul of Southern Africa
Angola is vast, intricate, and too often misrepresented as a blur of oil reserves and post-conflict headlines. Yet to a geographer, Angola is a revelation—a land where coastlines crash into desert, where rivers carve deep into savannah, and where cities rise as expressions of both resilience and resource. It’s a country whose spatial diversity demands closer attention, not just admiration. And this attention must start with accurate, structured, and context-rich **urban data**.
In response to this need, I’ve assembled a comprehensive dataset of **Angolan cities**, clearly organized by **region and department**, and tagged with precise **latitude and longitude** coordinates. This data is available in **Excel (.xlsx)**, **CSV**, **SQL**, **JSON**, and **XML** formats. I want to emphasize the addition of the **Excel version**, which now makes the dataset accessible and actionable for a wider audience than ever before.
From Luanda to Lubango: Cities Built on Contrasts
Every story about Angola begins with Luanda—a capital of contradictions, rising above the Atlantic in a mosaic of wealth, congestion, and growth. But Angola’s true geographic character emerges only when you venture inland. Benguela, with its colonial heritage and port logic. Huambo, rising on the central plateau, still beating with the pulse of the old railway lines. Malanje, nestled between cliffs and waterfalls. And in the far southeast, the silence of Menongue speaks volumes about remoteness and transformation.
Each city is more than a point on a map—it is part of a layered administrative ecosystem. Angola’s **18 provinces** are subdivided into **municipalities and communes**, each with its own urban logic. That’s why my dataset doesn’t stop at names—it links each location to its **correct region and department**, allowing planners and analysts to work within Angola’s administrative reality, not in abstract generalizations.
Why Excel Matters Now More Than Ever
Geographic data must not only be correct—it must be usable. That’s where the **Excel (.xlsx)** version of this dataset changes everything. For decades, spatial data has been locked away in formats tailored to developers, GIS technicians, and coders. But geography should be democratic, and Excel is the format that finally bridges that gap.
With Excel, you can filter cities by region in seconds. You can sort municipalities by longitude to understand coastal gradients, or cross-reference departmental clusters for infrastructure planning. Whether you’re modeling urban growth, targeting development funding, or teaching students about Angola’s provincial structure, **Excel makes the data fluid, immediate, and human**.
No more parsing through raw SQL queries just to answer a basic spatial question. Excel is readable, visual, and—most importantly—connects the dataset to the people who actually use it.
From Data Scarcity to Spatial Clarity
Angola has long suffered from a lack of publicly accessible, high-quality geographic data. Most available datasets either generalize or ignore key spatial relationships, making it difficult to perform reliable urban analysis. This is especially problematic in a country where **road networks**, **climate zones**, and **economic activity** vary so drastically from one region to another.
This new dataset addresses that head-on. It is structured not just for storage, but for **active use**. Every city is grounded in its real geographic position and administrative framework. Whether you're integrating into GIS software or working from an Excel spreadsheet, this dataset supports both technical depth and practical exploration.
Geography as a Tool for Transformation
Angola is changing. From oil-dependent coastlines to agricultural reawakening in the highlands, spatial intelligence will define the next chapter of national development. Accurate urban data is the foundation of climate resilience, transportation modeling, education policy, and economic planning. Without it, strategy is guesswork.
This is why this dataset exists—and why **Excel**, in particular, is the best way to begin working with it. It’s not just a file format. It’s a doorway to understanding Angola as it truly is: complex, regionalized, growing, and spatially alive.
For geographers, policymakers, and innovators alike, the time to engage with Angola through the lens of data is now. And it begins with getting the geography right.
