Nepal cities list with latitude and longitude in Excel, CSV, XML, SQL, JSON formats

Nepal
Nepal
Excel, CSV, SQL, XML, JSON

Last update : 15 February 2026.

Country
Nepal
Capital
Kathmandu
Number of cities
7907
Download
Click here

Below is a list of 100 prominent cities in Nepal. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 7907 places in Nepal that you'll find in our World Cities Database. You're free to use the data below for personal or commercial applications. The data below can be downloaded in Excel (.xlsx), .csv, .json, .xml and .sql formats. Notable Cities: The capital of Nepal is Kathmandu.


Geoname_IDCityAlternate_NameCountry_CodeRegionSub_regionLatitudeLongitudeElevationPopulationTimezoneFcode_Name
11773373Māneḍā̃ḍāgāũManedadagau,Māneḍā̃ḍāgāũNPProvince 1Khotang27.2212886.843090Asia/Kathmandupopulated place
12395275DyāṅDyan,DyāṅNPProvince 428.4744284.862150Asia/Kathmandupopulated place
11899808Rāmi̇̄ḍā̃ḍāRamidada,Rāmi̇̄ḍā̃ḍāNPKarnali PradeshSalyan28.5328782.301940Asia/Kathmandupopulated place
11902727GhurbāṅGhurban,GhurbāṅNPLumbini ProvinceRukum28.6516782.713510Asia/Kathmandupopulated place
11846044Phalā̃ṭePhalate,Phalā̃ṭeNPProvince 1Bhojpur27.405187.117870Asia/Kathmandupopulated place
11902143GāṅGan,GāṅNPLumbini ProvinceRolpa28.3265782.515680Asia/Kathmandupopulated place
7932702ManedandaNPProvince 1Bhojpur27.1072187.155010Asia/Kathmandupopulated place
11608027Dhā̃ti̇̄ṭolDhatitol,Dhā̃ti̇̄ṭolNPProvince 2Siraha26.7255386.363220Asia/Kathmandupopulated place
10344730Kot BhairabNPSudurpashchim PradeshBajhang29.4666781.033330Asia/Kathmandupopulated place
11882694Karsā̃ṭeKarsate,Karsā̃ṭeNPSudurpashchim PradeshAchham28.9624381.269260Asia/Kathmandupopulated place
10322071Dā̃seDanse,Dase,Dānse,Dā̃seNPBagmati ProvinceRamechhap27.471285.825960Asia/Kathmandupopulated place
10323903Ḍā̃geṭolDagetol,Dangetol,Ḍāngeṭol,Ḍā̃geṭolNPProvince 2Sarlahi27.0924985.583210Asia/Kathmandupopulated place
11763325RāgātuṅRagatun,RāgātuṅNPProvince 1Bhojpur26.9845886.960350Asia/Kathmandupopulated place
11846975TāṅseTanse,TāṅseNPProvince 1Terathum27.2134287.71030Asia/Kathmandupopulated place
12530249ParsāParsa,ParsāNPLumbini Province27.4334783.769020Asia/Kathmandupopulated place
12430586Lā̃puLapu,Lā̃puNPKarnali Pradesh29.5603782.212730Asia/Kathmandupopulated place
11872572Soḍā̃ḍīSodadi,Soḍā̃ḍīNPSudurpashchim PradeshKailali28.7357680.550780Asia/Kathmandupopulated place
10322504LumbuṭārNPBagmati ProvinceSindhuli27.3045785.532640Asia/Kathmandupopulated place
11602680Paiyā̃māḍi̇̄Baigantol,Baiganṭol,Paiyamadi,Paiyā̃māḍi̇̄NPProvince 1Morang26.4434987.626420Asia/Kathmandupopulated place
10329487Lāljhāḍi̇̄Laljhadi,Lāljhāḍi̇̄,LāljhāḍīNPBagmati ProvinceMakwanpur27.4468685.029770Asia/Kathmandupopulated place
12403381BakhdhārBakhdhar,BakhdhārNPSudurpashchim Pradesh29.526880.914040Asia/Kathmandupopulated place
12395071MasdhārāMasdhara,MasdhārāNPProvince 428.5957383.225470Asia/Kathmandupopulated place
12403364Lumṭi̇̄Lumti,Lumṭi̇̄NPSudurpashchim Pradesh29.5764280.871590Asia/Kathmandupopulated place
11847262LāmāgāũLamagau,LāmāgāũNPProvince 1Ilam27.0053687.77110Asia/Kathmandupopulated place
11835488Kāli̇̄māṭi̇̄ḍā̃ḍāKalimatidada,Kāli̇̄māṭi̇̄ḍā̃ḍāNPProvince 1Dhankuta27.1082687.362810Asia/Kathmandupopulated place
12342456YālbāṅYalban,YālbāṅNPKarnali Pradesh30.0580281.624560Asia/Kathmandupopulated place
8469121KhupachaguNPBagmati ProvinceDolakha27.8061186.096090Asia/Kathmandupopulated place
11847061Tallo HāṅṭhuwāTallo Hanthuwa,Tallo HāṅṭhuwāNPProvince 1Panchthar27.1218187.665020Asia/Kathmandupopulated place
12420698DibuṅDibun,DibuṅNPProvince 127.4387887.708650Asia/Kathmandupopulated place
11763232BamduwāBamduwa,BamduwāNPProvince 1Khotang26.9459886.798520Asia/Kathmandupopulated place
11773374BuwāluṅBuwalun,BuwāluṅNPProvince 1Khotang27.2225786.853290Asia/Kathmandupopulated place
11767538YāṅsibeYansibe,YāṅsibeNPProvince 1Ilam26.8411487.698320Asia/Kathmandupopulated place
11606221GuruṅgāũGurungau,GuruṅgāũNPProvince 1Ilam26.7715287.928620Asia/Kathmandupopulated place
11765741Barḍā̃ḍāBardada,Barḍā̃ḍāNPLumbini ProvinceDang27.8853782.743720Asia/Kathmandupopulated place
11847252HāṅpokHanpok,HāṅpokNPProvince 1Panchthar27.0647487.765120Asia/Kathmandupopulated place
1283590BichhuwaNPSudurpashchim PradeshKanchanpur28.7733280.516960Asia/Kathmandupopulated place
11845787Kā̃ṭKat,Kā̃ṭNPProvince 2Bara27.1330485.084120Asia/Kathmandupopulated place
10323447YeluṅNPBagmati ProvinceDolakha27.6456186.255660Asia/Kathmandupopulated place
11898931Bā̃meBame,Bā̃meNPKarnali PradeshSalyan28.5971582.051590Asia/Kathmandupopulated place
12530199Bintoli̇̄Bintoli,Bintoli̇̄NPLumbini Province27.4168983.834340Asia/Kathmandupopulated place
11773190Āmḍā̃ḍāgāũAmdadagau,Āmḍā̃ḍāgāũNPBagmati ProvinceDhading27.8318184.934040Asia/Kathmandupopulated place
11847101TuṅnupāTunnupa,TuṅnupāNPProvince 1Panchthar27.1894787.811430Asia/Kathmandupopulated place
11845943Kārki̇̄ḍā̃ḍāKarkidada,Kārki̇̄ḍā̃ḍāNPProvince 1Khotang27.0583586.925620Asia/Kathmandupopulated place
12184509Khetāli̇̄Khetali,Khetāli̇̄NPSudurpashchim Pradesh29.6544280.515280Asia/Kathmandupopulated place
11608446Pāri̇̄gāũParigau,Pāri̇̄gāũNPProvince 1Udayapur26.9440186.430130Asia/Kathmandupopulated place
11601171Dokānḍā̃ḍāDokandada,Dokānḍā̃ḍāNPProvince 1Jhapa26.7757688.02770Asia/Kathmandupopulated place
11900978Chā̃deChade,Chā̃deNPKarnali PradeshSalyan28.4785182.170890Asia/Kathmandupopulated place
11847204SyāldhāpSyaldhap,SyāldhāpNPProvince 1Panchthar27.1731887.946580Asia/Kathmandupopulated place
10317170RairāṅNPBagmati ProvinceDhading27.7168485.110380Asia/Kathmandupopulated place
12474880Kakarsā̃dKakarsad,Kakarsā̃dNPSudurpashchim Pradesh29.2050781.209640Asia/Kathmandupopulated place
11836014TuleḍāḍāTuledada,TuleḍāḍāNPBagmati ProvinceDhading27.7413184.9630Asia/Kathmandupopulated place
11607596Gidarāhi̇̄Gidarahi,Gidarāhi̇̄NPProvince 2Saptari26.6410686.595870Asia/Kathmandupopulated place
11902535Lāmḍā̃ḍāLamdada,Lāmḍā̃ḍāNPLumbini ProvinceArghakhanchi28.0159682.976450Asia/Kathmandupopulated place
12341632Chhuluṅ MarsāṅChhulun Marsan,Chhuluṅ MarsāṅNPProvince 127.9424686.606860Asia/Kathmandupopulated place
12245399BhulpāṭāBhulpata,BhulpāṭāNPKarnali Pradesh29.2770881.774590Asia/Kathmandupopulated place
12528796Kuṭḍā̃ḍāKutdada,Kuṭḍā̃ḍāNPLumbini Province27.7964983.492490Asia/Kathmandupopulated place
10337783Ā̃pchaurApchaur,Ā̃pchaurNPBagmati ProvinceDhading28.0111684.915620Asia/Kathmandupopulated place
11835739LyāṅliṅLyanlin,LyāṅliṅNPBagmati ProvinceChitwan27.6769684.719450Asia/Kathmandupopulated place
11846236Tinsā̃jeTinsaje,Tinsā̃jeNPProvince 1Bhojpur27.3126487.04490Asia/Kathmandupopulated place
11847353DāṅseDanse,DāṅseNPProvince 1Ilam27.0034387.969220Asia/Kathmandupopulated place
11885849Rāji̇̄gāũRajigau,Rāji̇̄gāũNPKarnali PradeshSurkhet28.3928781.872380Asia/Kathmandupopulated place
12249987Biblyāṭeḍā̃ḍāBiblyatedada,Biblyāṭeḍā̃ḍāNPProvince 127.2776788.004490Asia/Kathmandupopulated place
12403417SāṅpāṅSanpan,SāṅpāṅNPSudurpashchim Pradesh29.8120480.672470Asia/Kathmandupopulated place
11608368ThiṅṭolThintol,ThiṅṭolNPProvince 2Siraha26.7762486.389070Asia/Kathmandupopulated place
10665679Lākuri̇̄ BhañjyāṅNPBagmati ProvinceLalitpur27.6163185.411410Asia/Kathmandupopulated place
10317731Kitini̇̄khāi̇̄Kitinikhai,Kitini̇̄khāi̇̄,KitinīkhāīNPBagmati ProvinceNuwakot27.9334585.194060Asia/Kathmandupopulated place
12530550TilhāTilha,TilhāNPLumbini Province27.4820983.807240Asia/Kathmandupopulated place
11606508Gairi̇̄gāũGairigau,Gairi̇̄gāũNPProvince 1Ilam26.8799387.703850Asia/Kathmandupopulated place
10321187GāṅkhorNPBagmati ProvinceSindhupalchowk27.9262285.620540Asia/Kathmandupopulated place
1283132LawāmjulaNPKarnali PradeshSalyan28.2999782.267560Asia/Kathmandupopulated place
11902005BhulṭuṅBhultun,BhulṭuṅNPLumbini ProvinceRolpa28.4674482.537320Asia/Kathmandupopulated place
1283109LūnakLhonak,Lunak,LūnakNPProvince 1Taplejung27.7833388.033330Asia/Kathmandupopulated place
12474826Deurāli̇̄Deurali,Deurāli̇̄NPProvince 428.2627584.398860Asia/Kathmandupopulated place
11606238HāṅgimHangim,HāṅgimNPProvince 1Ilam26.817687.95970Asia/Kathmandupopulated place
6941920GhalegaunNPProvince 4Kaski28.3284.060Asia/Kathmandupopulated place
11867145MāmliṅMamlin,MāmliṅNPProvince 1Sankhuwasabha27.2292787.333150Asia/Kathmandupopulated place
10323623ṬhemjenNPProvince 1Solukhumbu27.5928686.45680Asia/Kathmandupopulated place
12402548LiwāṅLiwan,LiwāṅNPProvince 127.4309387.62210Asia/Kathmandupopulated place
12426853Ḍā̃ḍāDada,Ḍā̃ḍāNPKarnali Pradesh29.0555382.533050Asia/Kathmandupopulated place
11885413BeḍugāũBedugau,BeḍugāũNPKarnali PradeshDailekh28.7202381.575880Asia/Kathmandupopulated place
1283468DhamaurāDhamaura,DhamaurāNPProvince 2Mahottari26.7669685.824580Asia/Kathmandupopulated place
12412897ChuṅwāChunwa,ChuṅwāNPProvince 127.3195487.61290Asia/Kathmandupopulated place
11608322Ḍā̃ḍāgāũDadagau,Ḍā̃ḍāgāũNPProvince 1Udayapur26.9986986.721650Asia/Kathmandupopulated place
11872672E-GāũE-Gau,E-GāũNPSudurpashchim PradeshKailali28.609680.715250Asia/Kathmandupopulated place
12268720ĨbhāIbha,ĨbhāNPProvince 127.4654787.27560Asia/Kathmandupopulated place
12475196Lā̃chi̇̄Lachi,Lā̃chi̇̄NPSudurpashchim Pradesh29.0280181.321310Asia/Kathmandupopulated place
11835465ThāpāgāũThapagau,ThāpāgāũNPProvince 1Dhankuta27.045987.253670Asia/Kathmandupopulated place
1283653Basbiṭṭi̇̄Basbeti,Basbitti,Basbiṭṭi̇̄NPProvince 1Sunsari26.702287.219720Asia/Kathmandupopulated place
1282868RānīpauwaNPProvince 4Myagdi28.3861783.570460Asia/Kathmandupopulated place
12528842Pipari̇̄ SānoPipari Sano,Pipari̇̄ SānoNPLumbini Province27.5612982.962480Asia/Kathmandupopulated place
10328763GuruṅṭolNPProvince 1Okhaldhunga27.2621786.479710Asia/Kathmandupopulated place
11767539Bā̃jhogāũBajhogau,Bā̃jhogāũNPProvince 1Ilam26.8501187.687290Asia/Kathmandupopulated place
11902045Jugi̇̄ḍā̃ḍāJugidada,Jugi̇̄ḍā̃ḍāNPLumbini ProvinceRolpa28.4669182.581280Asia/Kathmandupopulated place
11772083Hũslā̃gHuslag,Hũslā̃gNPProvince 4Tanahun27.8855884.376970Asia/Kathmandupopulated place
1282930PātanNPSudurpashchim PradeshBaitadi29.463180.540460Asia/Kathmandupopulated place
11766073GhoghidahāGhoghidaha,GhoghidahāNPProvince 2Saptari26.6361886.796970Asia/Kathmandupopulated place
11599740Ā̃pṭārAptar,Ā̃pṭārNPBagmati ProvinceDhading27.7852484.83250Asia/Kathmandupopulated place
1283484DārchulāDAP,Darchula,Dharchul,Dharchula,Dhārchul,Dhārchulā,Dārchulā,KhalangaNPSudurpashchim PradeshDarchula29.8380.5518317Asia/Kathmandupopulated place
12342599Pāri̇̄ PolṭePari Polte,Pāri̇̄ PolṭeNPKarnali Pradesh29.3332283.32330Asia/Kathmandupopulated place
11767814Nayā̃gāũNayagau,Nayā̃gāũNPProvince 1Jhapa26.5233587.653170Asia/Kathmandupopulated place

**Exploring Nepal: A Geographer's Perspective**

Nestled in the majestic Himalayas, Nepal is a land of breathtaking landscapes, rich cultural heritage, and unparalleled natural beauty. As a geographer, delving into the geographical intricacies of Nepal provides a fascinating insight into its diverse regions, cities, and geographical coordinates. In this article, we embark on a journey to obtain data on Nepal's cities, regions, and departments, unraveling the geographical tapestry of this enchanting country.

Unveiling Nepal's Urban Centers**

Nepal's urban centers serve as bustling hubs of activity, blending ancient traditions with modernity. From the vibrant streets of Kathmandu, with its ancient temples and bustling markets, to the tranquil lakeside town of Pokhara, nestled beneath the shadow of the Annapurna range, Nepal's cities offer a glimpse into its rich cultural heritage and diverse urban landscapes. Obtaining data on Nepal's cities involves mapping their geographical coordinates, analyzing their demographic composition, and understanding their role as centers of commerce, culture, and administration.

Exploring Nepal's Regions and Districts**

Beyond its urban centers, Nepal comprises distinct regions and districts, each with its own unique geographical features and cultural nuances. From the fertile plains of the Terai region in the south to the rugged terrain of the Himalayas in the north, Nepal's regions offer a diverse array of landscapes, climates, and ecosystems. Obtaining data on Nepal's regions and districts entails delineating their administrative boundaries, studying their geological characteristics, and assessing their vulnerability to natural hazards such as earthquakes, landslides, and floods.

Mapping Latitude and Longitude in Nepal**

The geographical coordinates of Nepal's cities and landmarks are essential for navigation, tourism, and disaster management. Situated in a seismically active region, Nepal is prone to natural disasters such as earthquakes and landslides, making accurate latitude and longitude data crucial for disaster preparedness and response efforts. Obtaining precise geographical coordinates for Nepal's cities and regions enables spatial analysis, infrastructure planning, and environmental conservation initiatives, ensuring sustainable development and resilience in the face of environmental challenges.

Preserving Nepal's Cultural and Environmental Heritage**

In conclusion, Nepal's rich geographical diversity, cultural heritage, and natural beauty make it a captivating subject of study for geographers and researchers alike. By obtaining data on its cities, regions, and geographical coordinates, we can contribute to the sustainable development and preservation of this unique country. Let us continue to explore and appreciate the wonders of Nepal's landscapes and culture, ensuring their protection and conservation for future generations to cherish and enjoy.

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Download data files for Nepal's cities in Excel (.xlsx), CSV, SQL, XML and JSON formats

Understanding Nepal’s Geography: A Comprehensive Data-Driven Approach

Nepal, a landlocked country nestled in the heart of the Himalayas, is known for its breathtaking landscapes and diverse topography, from the towering peaks of Mount Everest to the fertile Terai plains. This geographical diversity not only shapes the country’s environment but also influences its cultural and economic patterns. For geographers and researchers, obtaining precise data about Nepal’s cities, regions, and departments is key to understanding these dynamics. Geographic data plays an essential role in urban planning, resource management, and environmental conservation, helping to inform policies and development strategies.

The Structure of Nepal's Geography

Nepal’s administrative structure is composed of seven provinces, each further subdivided into districts and municipalities. The capital city, Kathmandu, located in Province No. 3, serves as the political, economic, and cultural hub of the country. The other major cities, including Pokhara, Lalitpur, and Biratnagar, are dispersed across the country’s varied geography, from the mountainous regions to the southern lowlands.

Understanding the spatial relationships between these cities, their regions, and the natural environment is critical for evaluating the country’s development. The cities in Nepal are often concentrated in the valley areas, where transportation and trade routes converge, while the more rural regions may face challenges related to infrastructure, accessibility, and resource distribution.

The geographic layout also influences population distribution, economic activity, and regional development. For example, urbanization in Kathmandu Valley contrasts with rural settlement patterns in the mountainous and hilly regions. These insights can be further understood by analyzing geographic data, such as the precise locations of cities, and understanding their interactions with surrounding topography and resources.

Latitude and Longitude: Key Coordinates for Mapping Nepal’s Cities

Latitude and longitude are fundamental tools for understanding the exact locations of Nepal’s cities and towns. These coordinates allow for precise mapping, enabling geographers to visualize the spatial relationships between urban areas, natural landmarks, and infrastructure. By obtaining latitude and longitude data for each city in Nepal, researchers can create detailed maps and perform spatial analysis on a variety of geographic aspects.

For example, knowing the latitude and longitude coordinates of Kathmandu, Pokhara, or Janakpur helps identify their position relative to major rivers like the Koshi or Gandaki, as well as their proximity to important cultural sites and trade routes. These data points enable geographers to track urban expansion, assess environmental risks (such as flooding or landslides), and optimize infrastructure development based on geographic factors.

Furthermore, accurate geographic coordinates allow for better resource management by identifying areas of natural abundance or scarcity. Whether it’s planning for irrigation systems in the Terai region or mapping potential tourism sites in the Himalayas, having precise data on the geographic locations of cities and towns is crucial for informed decision-making.

Why Data Formats Matter for Geographic Research

When working with geographic data, the ability to access the data in various formats is crucial. Geographic data on Nepal’s cities, regions, and administrative boundaries should be made available in flexible formats like CSV, SQL, JSON, and XML. This ensures the data can be integrated into different platforms, enabling researchers, policymakers, and urban planners to conduct a variety of analyses using the most appropriate tools.

- **CSV (Comma-Separated Values):** CSV files provide a simple, table-based format for organizing geographic data, such as city names, populations, and coordinates. This format is ideal for users who need easy access to and manipulation of basic data. It’s compatible with a wide range of data analysis tools and mapping software, making it a great starting point for exploratory studies.

- **SQL (Structured Query Language):** SQL is essential for managing large and relational datasets. For in-depth geographic analysis, SQL allows users to query specific city data, perform complex spatial analyses, and examine regional patterns across Nepal. It’s perfect for researchers working with comprehensive datasets and needing the ability to run detailed queries on urbanization trends, population changes, or resource availability.

- **JSON (JavaScript Object Notation):** JSON is commonly used for web-based applications and dynamic data exchanges. Its flexible and lightweight structure makes it perfect for building interactive maps or location-based services. Researchers and developers can use JSON to create live systems or interactive platforms that allow users to explore Nepal’s geography and data in real-time.

- **XML (Extensible Markup Language):** XML is a powerful format for structuring data that needs to be shared across multiple systems. It is particularly useful for integrating large geographic datasets into GIS platforms, government databases, or environmental monitoring tools. XML ensures that data can be exchanged between different systems without losing its structure or meaning, making it ideal for collaborative and cross-disciplinary projects.

By offering Nepal’s geographic data in these formats, the information becomes more accessible, adaptable, and useful for various research projects, policy analyses, and infrastructure planning efforts.

A Comprehensive Database for Nepal's Cities and Regions

For anyone looking to understand Nepal’s geography in greater detail, a comprehensive database containing data on its cities, regions, and departments is essential. This database should include vital geographic data, such as the latitude and longitude coordinates of each city, as well as additional information like population sizes, regional economic activity, and infrastructure. Having access to this data allows researchers and planners to identify trends, assess challenges, and make informed decisions.

For example, data from urban centers like Kathmandu, which serves as the focal point for trade, culture, and government, can be compared with more rural cities such as Biratnagar or Dharan to study how infrastructure and services are distributed across the country. Similarly, geographic data on the southern Terai region can be used to assess agricultural potential, transportation needs, or flood risks. By comparing data across these different areas, geographers can identify patterns in urban growth, resource management, and regional disparities.

By offering the data in formats like CSV, SQL, JSON, and XML, the database becomes a highly adaptable tool for a wide range of users, from government agencies to private researchers, and ensures that the data can be analyzed and visualized according to specific needs and goals.

Conclusion

Nepal’s diverse geography, with its combination of towering mountain ranges, fertile valleys, and coastal plains, presents unique challenges and opportunities for researchers, policymakers, and urban planners. By obtaining accurate, up-to-date geographic data on the locations of cities, regions, and departments—along with their respective latitude and longitude coordinates—researchers can gain a deeper understanding of the country’s development, resource allocation, and environmental concerns. Providing this data in flexible formats such as CSV, SQL, JSON, and XML ensures that the information is accessible and can be integrated into various research, planning, and analytical tools. A data-driven approach to understanding Nepal’s geography helps inform sustainable development, policy-making, and urban planning, contributing to a brighter and more informed future for the country.

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