Bolivia Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML

Bolivia
Bolivia
Excel, CSV, SQL, XML, JSON

Last update : 23 March 2026.

Country
Bolivia
Capital
Sucre
Number of cities
25131
Download
Click here

Here you’ll find a curated sample of 100 key cities from Bolivia, 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 25131 geographic locations across Bolivia.

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 Bolivia is Sucre.


Geoname_IDCityAlternate_NameCountry_Code RegionSub_regionLatitudeLongitude ElevationPopulationTimezoneFcode_Name
3905203 San Pablo BO Santa Cruz Department -17.16667 -61.03333 0 America/La_Paz populated place
3924077 América America,América,Nueva America BO Pando -11.83333 -67.9 0 America/La_Paz populated place
3923870 Antihasi Antihasi,Antihuasi BO PotosĂ­ Department -21.15 -66.36667 0 America/La_Paz populated place
3910771 Manuripi BO Pando -10.8 -68.06667 0 America/La_Paz populated place
3916446 Estancia Poco Poconi BO La Paz Department -16.9 -69.2 0 America/La_Paz populated place
3918258 Curiche Curiche,El Curiche BO Santa Cruz Department -18.7533 -63.22079 0 America/La_Paz populated place
3910810 Manchego BO Pando -10.31667 -67.11667 0 America/La_Paz populated place
3911887 La Portuguesa La Portuguesa,La Portugueza BO Chuquisaca Department -20.03333 -64.41667 0 America/La_Paz populated place
3904993 Santa Ana la Nueva Santa Ana,Santa Ana la Nueva BO Tarija Department -21.54137 -64.58008 0 America/La_Paz populated place
3916257 Estancia Sarcobamba BO Cochabamba -17.73333 -66.28333 0 America/La_Paz populated place
3908168 Peña Colorada BO Potosí Department -21.72734 -67.32943 0 America/La_Paz populated place
11508050 Payol Payol BO Pando -10.607 -67.4728 0 America/La_Paz populated place
3917552 Estancia Chacoma BO La Paz Department -17.25 -69.28333 0 America/La_Paz populated place
3910901 Mairana Mairana BO Santa Cruz Department -18.1199 -63.96058 4298 America/La_Paz populated place
12544407 Pumiri Pumiri BO Oruro -17.9759 -67.64845 0 America/La_Paz populated place
12498933 Khuchipampa Khuchipampa BO La Paz Department -15.15218 -68.50312 0 America/La_Paz populated place
11498713 Colorado Colorado BO Pando -11.2543 -68.76398 0 America/La_Paz populated place
3924415 Agua Milagro Agua Milagra,Agua Milagro BO Oruro -19.28333 -67.11667 0 America/La_Paz populated place
3902393 Tribu La Tribu,Tribu BO Pando -11.53148 -68.99152 0 America/La_Paz populated place
12529288 Taiguati Taiguati BO Tarija Department -21.1514 -63.36511 0 America/La_Paz populated place
3913138 Juriyoc Jariyoc,Juriyoc BO PotosĂ­ Department -21.55 -66.46667 0 America/La_Paz populated place
12528904 Cosco Cosco BO La Paz Department -16.79475 -66.9216 0 America/La_Paz populated place
3908640 Pampas Pampas BO Santa Cruz Department -17.85429 -64.58585 0 America/La_Paz populated place
12528929 Cheka Cheka BO La Paz Department -16.75313 -67.21511 0 America/La_Paz populated place
12528622 ColĂłn Colon,ColĂłn BO Oruro -18.47259 -66.86258 0 America/La_Paz populated place
12517137 Jalantani Jalantani BO La Paz Department -16.84226 -68.50289 0 America/La_Paz populated place
12530170 Campo Verde Campo Verde BO Beni Department -14.2761 -65.68742 0 America/La_Paz populated place
12496482 Colonia Menonita Cansas Colonia Menonita Cansas BO Santa Cruz Department -19.86259 -63.07804 0 America/La_Paz populated place
3907797 Pizani Estancia Pizani,Pizani BO Oruro -18.96667 -68.75 0 America/La_Paz populated place
12504646 Puerto Andino Puerto Andino BO Cochabamba -17.09556 -64.56017 0 America/La_Paz populated place
12525709 Monte Sandoval Monte Sandoval BO Chuquisaca Department -21.17402 -65.213 0 America/La_Paz populated place
11504064 ConcepciĂłn Concepcion,ConcepciĂłn BO Pando -10.58142 -67.60968 0 America/La_Paz populated place
12515816 Skapampa Escovinto Skapampa Escovinto BO Cochabamba -17.49408 -66.64068 0 America/La_Paz populated place
3906447 Rinconada BO La Paz Department -15.93333 -68.55 0 America/La_Paz populated place
3911039 Lulupaya Comunidad Lulupaya,Lulupaya BO PotosĂ­ Department -19.82956 -65.28654 0 America/La_Paz populated place
3917174 Estancia Huari Callpa BO La Paz Department -17.4 -68.9 0 America/La_Paz populated place
12500105 San Salvador San Salvador BO La Paz Department -16.25192 -66.99698 0 America/La_Paz populated place
12521425 Pedro Murillo NĂșcleo Cuarenta y Cuatro Murillo Nucleo 44,Murillo Nucleo Cuarenta y Cuatro,Murillo NĂșcleo 44,Murillo NĂșcleo Cuarenta y Cuatro,Pedro Murillo Nucleo 44,Pedro Murillo Nucleo Cuarenta y Cuatro,Pedro Murillo NĂșcleo 44,Pedro Murillo NĂșcleo Cuarenta y Cuatro BO Santa Cruz Department -16.46257 -63.09653 0 America/La_Paz populated place
12482311 Campo Imperio Campo Imperio BO Beni Department -10.48927 -65.44714 0 America/La_Paz populated place
3906220 Runa Huanusca BO PotosĂ­ Department -19.93333 -65.2 0 America/La_Paz populated place
3913723 Jalanta BO PotosĂ­ Department -21.51937 -66.57633 0 America/La_Paz populated place
12520283 Tarvita Alta Tarvita Alta BO Chuquisaca Department -20.02819 -64.48537 0 America/La_Paz populated place
12520513 Capactala Capactala BO Chuquisaca Department -19.95762 -64.57022 0 America/La_Paz populated place
3920722 Chiñata BO Cochabamba -17.36667 -65.9 0 America/La_Paz populated place
12522225 Colonia Riva Palacio Campo Doce Agruenthal Colonia Riva Palacio Campo 12 Agruenthal,Colonia Riva Palacio Campo Doce Agruenthal BO Santa Cruz Department -18.13584 -63.08303 0 America/La_Paz populated place
3922965 Buena Vista Bella Vista,Buena Vista BO Santa Cruz Department Provincia Ichilo -17.4583 -63.67126 4282 America/La_Paz populated place
12504819 Once de Enero 11 de Enero,Once de Enero BO Cochabamba -17.06978 -64.57931 0 America/La_Paz populated place
3901867 Valle Marquez BO Tarija Department -21.69181 -64.3371 0 America/La_Paz populated place
3917043 Jankoaque Estancia Jankhol Jakke,Jankoaque BO Chuquisaca Department -20.45025 -65.07855 0 America/La_Paz populated place
12520483 Duraznitos Duraznitos BO Chuquisaca Department -20.46176 -64.18373 0 America/La_Paz populated place
3902846 Tocahuara BO La Paz Department -15.4 -67.66667 0 America/La_Paz populated place
12520096 Ullacopa Ullacopa BO La Paz Department -17.05326 -67.36344 0 America/La_Paz populated place
3914234 Inca Corral Estancia Inca Corral,Inca Corral BO PotosĂ­ Department -18.06879 -65.83839 0 America/La_Paz populated place
3919874 Collagua Collagua,Colligua BO La Paz Department -16.71667 -68.48333 0 America/La_Paz populated place
3906325 Roque Balsa BO Oruro -18.08045 -67.30699 0 America/La_Paz populated place
3906935 Quegua Quegua,Quehua BO PotosĂ­ Department -19.89953 -66.89974 0 America/La_Paz populated place
11792574 Estancia Altarani Estancia Altarani BO La Paz Department -14.85682 -69.22496 0 America/La_Paz populated place
3921633 Monte Cercado Cercado,Monte Cercado BO Tarija Department -21.43671 -64.69849 0 America/La_Paz populated place
12494710 Organización Territorial de Base Ñancahuazu Organizacion Territorial de Base Nancahuazu,Organización Territorial de Base Ñancahuazu BO Santa Cruz Department -19.40262 -63.67611 0 America/La_Paz populated place
12498101 Chasacota Chasacota BO La Paz Department -16.52694 -68.55563 0 America/La_Paz populated place
3903393 Tara Amaya BO La Paz Department -17.05 -68.63333 0 America/La_Paz populated place
12528517 Cobre Mayu Cobre Mayu BO Oruro -18.39863 -66.82007 0 America/La_Paz populated place
3904347 Sico BO La Paz Department -16.86667 -67.65 0 America/La_Paz populated place
3903334 Tarcayoj BO PotosĂ­ Department -21.42856 -65.80354 0 America/La_Paz populated place
3916362 Estancia Retamani BO Cochabamba -17.76667 -66.5 0 America/La_Paz populated place
3912392 Lacatia Lacatea,Lacatia BO La Paz Department -15.76745 -68.58913 0 America/La_Paz populated place
3902624 Torcochi Estancia Jatun Torcochi,Taricache,Taricachi,Tarucachi,Torcochi BO PotosĂ­ Department -20.31906 -65.67405 0 America/La_Paz populated place
3919066 Corpa Comunidad Corpa,Corpa BO La Paz Department -16.55512 -68.60764 0 America/La_Paz populated place
3905156 San Pedro San Pedro BO Santa Cruz Department -16.8265 -63.48214 0 America/La_Paz populated place
3922582 Calihorno BO PotosĂ­ Department -21.23333 -66.2 0 America/La_Paz populated place
3902697 Tomache Tomache,Tomachi BO La Paz Department -15.43333 -67.75 0 America/La_Paz populated place
11751759 Machacamarca BO La Paz Department -15.57901 -68.65689 0 America/La_Paz populated place
12518595 Jiquilla Jiquilla BO Oruro -18.06346 -66.99358 0 America/La_Paz populated place
3907116 Pulaxi BO PotosĂ­ Department -20.55352 -65.51845 0 America/La_Paz populated place
3904895 Santa Elena BO La Paz Department -15.98333 -67.03333 0 America/La_Paz populated place
3902929 Tipapampa BO Cochabamba -18.33333 -65.18333 0 America/La_Paz populated place
3921491 Chacopampa Chacopampa,Chaopampa BO PotosĂ­ Department -21.54306 -65.7762 0 America/La_Paz populated place
3918292 El Chaco BO Tarija Department -21.66667 -65.28333 0 America/La_Paz populated place
12516884 Patapatani Chico Patapatani Chico BO Cochabamba -17.52417 -66.68927 0 America/La_Paz populated place
11502934 Alto Monte el Pinpollo Samaria Alto Monte el Pinopollo Samaria,Alto Monte el Pinpollo Samaria BO Pando -11.46722 -68.1535 0 America/La_Paz populated place
3917362 Estancia Cobra BO La Paz Department -17.45 -68.93333 0 America/La_Paz populated place
3904310 Silahuira Oilahuira,Oilauira,Silahuira,Silahuirca BO La Paz Department -15.41667 -68.58333 0 America/La_Paz populated place
3915882 Llanuma Estancia Yayuma,Llanuma BO La Paz Department -17.17186 -67.38725 0 America/La_Paz populated place
3922347 Campo Santo BO Beni Department -13.48333 -63.65 0 America/La_Paz populated place
12515812 Villa Mercedes Villa Mercedes BO La Paz Department -17.35171 -69.04291 0 America/La_Paz populated place
3910357 Mina Noita BO PotosĂ­ Department -19.9 -65.9 0 America/La_Paz populated place
12499507 Putuni Putuni BO La Paz Department -16.07769 -68.65354 0 America/La_Paz populated place
3906236 Rumichiquiri BO PotosĂ­ Department -21.11667 -65.65 0 America/La_Paz populated place
12482413 Los Ángeles Los Angeles,Los Ángeles BO Beni Department -11.08918 -65.81426 0 America/La_Paz populated place
3901454 Viña Quemada BO Chuquisaca Department -19.41507 -64.85686 0 America/La_Paz populated place
11438973 San Jose BO Pando -11.45559 -69.07611 0 America/La_Paz populated place
3916378 Estancia Quimsa Jakke BO Oruro -18.26667 -68.95 0 America/La_Paz populated place
3909378 Ojo de Agua Ojo de Agua,Ojo del Agua BO PotosĂ­ Department -20.87604 -65.86603 0 America/La_Paz populated place
11760379 Pillco Pata Huayuni BO La Paz Department -15.37376 -68.56603 0 America/La_Paz populated place
3910195 Mokohorco BO PotosĂ­ Department -21.31667 -66.3 0 America/La_Paz populated place
3902883 Tirnoyo BO Chuquisaca Department -20.21667 -64.95 0 America/La_Paz populated place
12499437 Quinuni Quinuni BO La Paz Department -16.24563 -67.12958 0 America/La_Paz populated place
3906193 Sacabamba Sacabamba BO Cochabamba -17.8 -65.75 0 America/La_Paz populated place
3901415 Violeta Veoleta,Violeta BO Santa Cruz Department -14.98333 -61.41667 0 America/La_Paz populated place
11751634 Kokani BO La Paz Department -15.92668 -68.71269 0 America/La_Paz populated place

Bolivia: A Tapestry of Elevations, Cultures, and Cities

The Geographic Soul of South America

Bolivia is a country of astounding contrasts. From the arid expanse of the Altiplano to the steamy lowlands of the Amazon Basin, it presents one of the most geodiverse landscapes in South America. To understand Bolivia is to understand a country that lives at multiple altitudes, each layer shaping human settlement, culture, and regional identity in dramatically different ways. As a geographer, this excites me beyond words.

What truly captures the imagination is how Bolivia’s geography directly influences its spatial organization. The country is divided into nine departments, each serving as a vast regional hub, further subdivided into provinces and municipalities. From the capital La Paz—clinging boldly to the sides of a canyon—to Trinidad’s flood-prone flatlands, Bolivia’s cities exist in negotiation with the terrain.

Mapping Bolivia’s Human Geography with Precision

While Bolivia’s landscapes are visually spectacular, its cities and towns are the real story of adaptation. The high-altitude centers like El Alto and Potosí pulse with life despite oxygen scarcity, while towns in the Yungas and Amazonian departments thrive in humidity and isolation.

To map Bolivia is not merely to draw lines, but to recognize how elevation, access, and history weave together to form living, breathing urban patterns. And for that, we must rely on precise data—data that does not stop at city names, but includes their regional affiliations and, critically, accurate geographic coordinates.

A Database Built for Real Geographic Insight

In response to this need, I have developed a comprehensive, high-quality dataset of Bolivia’s cities and towns. Each entry includes the name of the locality, the department it belongs to, its subregion or province, and its exact latitude and longitude coordinates.

What makes this database more than a static resource is its usability. It's formatted to meet the needs of various users—from researchers to developers to policymakers. Available formats include CSV for spreadsheet workflows, SQL for relational databases, JSON and XML for web applications, and now, with special emphasis, Excel (.xlsx)—our latest and most versatile addition.

Why Excel (.xlsx) is a Game-Changer

The inclusion of Excel format marks a crucial evolution in accessibility. Many users—urban planners, local NGOs, researchers, teachers—prefer the intuitive and powerful structure of Excel. They want to be able to filter all towns in the Cochabamba department, sort cities by altitude, or pivot data by province within minutes.

With the Excel version, users no longer need to convert or reformat anything. Everything is ready for immediate use—clean, structured, and compatible with most geographic visualization and planning tools. This bridges the gap between technical depth and user-friendliness, opening up Bolivia’s spatial structure to a much wider community.

From Policy to Education: Practical Applications of the Data

This dataset is not a theoretical exercise—it has real applications across disciplines:

* Municipal planning in growing peri-urban areas of Santa Cruz

* Flood risk zoning in the Beni and Pando regions

* Educational infrastructure planning across rural PotosĂ­

* Tourism development mapping in the Lake Titicaca basin

By offering structured city data down to the latitude and longitude, planners can make decisions based on facts—not estimates. And for international development agencies or environmental researchers, the need for such precision cannot be overstated.

Conclusion

Bolivia’s complexity is not just in its mountains, jungles, and plains—it is in its settlements, each of which tells a unique story of survival, culture, and geography. Understanding where people live, how cities are organized, and what natural contexts they inhabit is essential for anyone seeking to engage with Bolivia meaningfully.

With the latest integration of Excel format alongside CSV, SQL, JSON, and XML, this geographic dataset offers more than information—it provides insight, clarity, and a foundation for action.

Download Bolivia cities in Excel SQL CSV JSON XML

Access detailed latitude and longitude data for cities in Bolivia, now available in Excel (.xlsx) — plus CSV, SQL, XML, and JSON formats

List of countries :

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