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

India
India
Excel, CSV, SQL, XML, JSON

Last update : 16 December 2025.

Country
India
Capital
New Delhi
Number of cities
543072
Download
Click here

This is the best list of 543072 cities in the India available in 5 formats ( Excel, CSV, JSON, SQL, XML ). You will find only data associated with the cities of a country (capital, towns and villages). There is no information concerning the environment, such as the location of a river or a mountain, for example. All cities are associated with regions and sub-regions (where available).

Each file contains the following data: Geoname_ID, City, Alternate_Name, Country_Code, Region, Sub_region, Latitude, Longitude, Elevation, Population, Timezone, Fcode_Name. See the FAQ below for a detailed explanation.

Here is an example of the data from the India file that you are going to retrieve. The data is displayed here in the form of a table:


Geoname_IDCityAlternate_NameCountry_CodeRegionSub_regionLatitudeLongitudeElevationPopulationTimezoneFcode_Name
1273883CinnāmāraINAssamJorhat26.7166794.233330Asia/Kolkatapopulated place
10831206KharūaINUttar PradeshPīlībhīt28.6040479.776860Asia/Kolkatapopulated place
10895688KaneyūrINKarnatakaHassan12.6992576.065180Asia/Kolkatapopulated place
11676964JavvāduppattiINTamil NaduDindigul10.5785977.814190Asia/Kolkatapopulated place
10720451SomātolaINChhattisgarhRāj Nāndgaon20.6775480.836060Asia/Kolkatapopulated place
10333008PārliyaINMadhya PradeshRājgarh24.0880576.447470Asia/Kolkatapopulated place
10584652Nāgal ki MadaiyānINUttar PradeshMorādābād28.4944878.470440Asia/Kolkatapopulated place
10487637Nawāda BīruINUttar PradeshKānpur26.8074979.975720Asia/Kolkatapopulated place
10209408PānjharINMadhya PradeshBetūl22.0241578.005660Asia/Kolkatapopulated place
10408493NanduINSikkimSouth District27.1508488.301450Asia/Kolkatapopulated place
11461695ModūrINTamil NaduCoimbatore11.2220376.875570Asia/Kolkatapopulated place
10683512ChanghaīpurINUttar PradeshPratāpgarh25.776381.916360Asia/Kolkatapopulated place
10485672GurvāyigūdemINTelanganaKhammam17.2107179.941860Asia/Kolkatapopulated place
10583722LakhārāmpurINUttar PradeshShrawasti27.4148881.89140Asia/Kolkatapopulated place
10458309MarhaiyānINUttar PradeshFirozabad27.2139978.739290Asia/Kolkatapopulated place
11686499HurangdaINJharkhandPashchim Singhbhūm22.7192985.520180Asia/Kolkatapopulated place
10463588RāmpurINUttar PradeshKasganj27.7397778.792270Asia/Kolkatapopulated place
10249743EjāwāsINGujaratSabarkantha24.4199373.050980Asia/Kolkatapopulated place
10886103GodiātolaINBiharMadhubani26.3774986.034770Asia/Kolkatapopulated place
12519042PatahiINBiharPūrba Champāran26.5687685.155880Asia/Kolkatapopulated place
10734660DhaulahINHimachal PradeshSolan30.9907876.939280Asia/Kolkatapopulated place
10832390Daulatpur PattiINUttar PradeshPīlībhīt28.4450779.874310Asia/Kolkatapopulated place
10747319MalvajadiINKarnatakaUttar Kannada14.2448974.837290Asia/Kolkatapopulated place
10678983PaloriINJammu and KashmirKathua32.5050675.461750Asia/Kolkatapopulated place
10486566LuhiāpurINUttar PradeshAuraiya26.46879.576250Asia/Kolkatapopulated place
10807902RichhvelINGujaratVadodara22.5525874.015050Asia/Kolkatapopulated place
10802835WardiaINRajasthanBānswāra23.4988774.231080Asia/Kolkatapopulated place
10519000LohraINMaharashtraBhandara20.9040879.893960Asia/Kolkatapopulated place
10972158GundāramINTelanganaKarīmnagar18.6504879.497810Asia/Kolkatapopulated place
10790377JaradahINMadhya PradeshSingrauli24.3036382.531640Asia/Kolkatapopulated place
10190431RaghunāthpuraINRajasthanJaipur26.5550876.134640Asia/Kolkatapopulated place
10466654SaephalINMaharashtraNanded19.9222278.049290Asia/Kolkatapopulated place
10249490Kot GurūGuruke,Gurūke,Kot Guru,Kot GurūINPunjabBathinda30.0970774.813960Asia/Kolkatapopulated place
10318749Shāhpur TurkINHaryanaSonīpat29.0037877.070190Asia/Kolkatapopulated place
10214269KharkaINMaharashtraNagpur Division21.0459278.9870Asia/Kolkatapopulated place
10576948Pura NepālINUttar PradeshSultānpur26.3507281.896510Asia/Kolkatapopulated place
11423555ArumbākkamINAndhra Pradesh13.239879.699010Asia/Kolkatapopulated place
11016039Surāi KitaINJharkhandGodda24.9731787.202440Asia/Kolkatapopulated place
10504055PānjiINMadhya PradeshDamoh24.1703679.615340Asia/Kolkatapopulated place
10451115NiwāzpurINUttar PradeshFirozabad27.2712878.221740Asia/Kolkatapopulated place
10667279SapahaINUttar PradeshAllahābād25.5565181.672740Asia/Kolkatapopulated place
10586819BaliāpurINUttar PradeshPratāpgarh25.8981581.494030Asia/Kolkatapopulated place
10210675ChilakINMadhya PradeshChhindwāra22.6005478.886780Asia/Kolkatapopulated place
10787038DanukotaINAndhra PradeshSrīkākulam18.6036683.946370Asia/Kolkatapopulated place
10742351KarkachhiaINUttar PradeshSonbhadra23.9248783.117960Asia/Kolkatapopulated place
11036893AregorīldartiINTelanganaMedak17.9146578.356750Asia/Kolkatapopulated place
10819317PatetiINUttarakhandBageshwar29.9848279.852780Asia/Kolkatapopulated place
10559332GaneshpurINUttar PradeshSītāpur27.4241981.174860Asia/Kolkatapopulated place
10535544KundhaINMadhya PradeshBetūl21.50978.045580Asia/Kolkatapopulated place
10775527BāgarijollaINOdishaRayagada19.2037583.039330Asia/Kolkatapopulated place
10564052KokalINUttar PradeshShrawasti27.7421581.81750Asia/Kolkatapopulated place
11635717BankanāliINJharkhandDeogarh24.1296886.881470Asia/Kolkatapopulated place
11501738PadinjārattuINKeralaAlappuzha9.1496676.614220Asia/Kolkatapopulated place
10666729KotwaINUttar PradeshDeoria26.5830783.65130Asia/Kolkatapopulated place
10831974KasiumpurINUttar PradeshBallia25.7554584.176290Asia/Kolkatapopulated place
10591177Pura PānditINUttar PradeshSultānpur26.1822581.81030Asia/Kolkatapopulated place
10757569KotapāliINOdishaJharsuguda District21.7377583.949550Asia/Kolkatapopulated place
11602132PūvanūrINTamil NaduCuddalore11.4353279.260610Asia/Kolkatapopulated place
10565591Sīr KhirābhaINUttar PradeshGonda27.09581.989830Asia/Kolkatapopulated place
11345342RanganūrINTamil NaduKrishnagiri12.2636678.355320Asia/Kolkatapopulated place
10470465SalempurINUttar PradeshFarrukhābād27.4402379.397840Asia/Kolkatapopulated place
10696777HattāINMadhya PradeshBālāghāt22.3563180.84250Asia/Kolkatapopulated place
10656243BijainagarINUttar PradeshGorakhpur27.0587583.323620Asia/Kolkatapopulated place
10855063ArēhalliINKarnatakaBangalore Rural13.2227577.948510Asia/Kolkatapopulated place
10147253BarāsaraINHimachal PradeshSirmaur30.731877.179920Asia/Kolkatapopulated place
10535349LakshmipuramINTelanganaĀdilābād19.1314578.832160Asia/Kolkatapopulated place
10514604LātgaonINMadhya PradeshSeonī21.9953679.911470Asia/Kolkatapopulated place
10597885Purwa Rām GhulāmINUttar PradeshGonda27.1786882.153440Asia/Kolkatapopulated place
10540498MainpurINUttar PradeshJaunpur25.6029482.570260Asia/Kolkatapopulated place
10513595HiwaraINMaharashtraWashim20.1140977.036790Asia/Kolkatapopulated place
10617863Purwa JeobodhINUttar PradeshPratāpgarh26.0152882.307260Asia/Kolkatapopulated place
10439065SāranINHaryanaKaithal29.6994376.401920Asia/Kolkatapopulated place
10555449Purwa KanaiINUttar PradeshFatehpur26.0245580.789420Asia/Kolkatapopulated place
10833592MadrāsātolaINBiharGayā25.0373984.900540Asia/Kolkatapopulated place
10494930ChursalaiINMadhya PradeshMorena26.8134878.193570Asia/Kolkatapopulated place
10878056ArichapINKeralaKāsaragod District12.4717675.179940Asia/Kolkatapopulated place
1254067TunduTandoo,Tundo,Tundoo,TunduINJharkhandDhānbād23.7912486.256710Asia/Kolkatapopulated place
10622642ĀharpurINUttar PradeshJaunpur26.0472682.610920Asia/Kolkatapopulated place
7465719Chak JawāhirINJammu and KashmirSamba32.4965974.90320Asia/Kolkatapopulated place
10491320GhosemalpurINUttar PradeshKaushambi District25.6296181.22150Asia/Kolkatapopulated place
10733889LataurINPunjabFatehgarh Sahib30.5403676.42890Asia/Kolkatapopulated place
10544384ShivpuraINUttar PradeshMirzāpur25.1408882.305970Asia/Kolkatapopulated place
10165812Chirkhāna Ka BāsINRajasthanAlwar27.6328576.664520Asia/Kolkatapopulated place
10525568JhāloniINMadhya PradeshShivpurī24.9410378.13110Asia/Kolkatapopulated place
11462962PeringādPeringad,PeringādINKeralaThrissur District10.5491476.070780Asia/Kolkatapopulated place
10899061SātanūrINKarnatakaMandya12.5575276.899390Asia/Kolkatapopulated place
10733200BalhiINHimachal PradeshBilāspur31.383276.783840Asia/Kolkatapopulated place
11020838MathurāpurINBiharMuzaffarpur25.9695585.45410Asia/Kolkatapopulated place
10855797SankūrINKarnatakaShimoga13.968675.045920Asia/Kolkatapopulated place
1349388HātamāriINWest BengalSouth 24 Parganas22.2711188.608890Asia/Kolkatapopulated place
11461765MadavanaINKeralaThrissur District10.2113876.176230Asia/Kolkatapopulated place
10653870KeshopurINUttar PradeshĀzamgarh26.1391782.974950Asia/Kolkatapopulated place
10449177LādkaINMaharashtraNanded18.9151677.37920Asia/Kolkatapopulated place
10250957KālāroiINRajasthanUdaipur24.5742173.645380Asia/Kolkatapopulated place
10815840RanāichiINGujaratTapi21.5232274.046580Asia/Kolkatapopulated place
9977405SīswālaSiswala,SīswālaINHaryanaHisār29.1022775.553430Asia/Kolkatapopulated place
11606774KākkaiyādiINTamil NaduThiruvarur10.6939179.551480Asia/Kolkatapopulated place
11659730PudanguppattiINTamil NaduTiruchirappalli10.5288778.445490Asia/Kolkatapopulated place
9915853KhātiwāsINRajasthanAlwar28.1352576.852970Asia/Kolkatapopulated place
10668137PatkhauliINUttar PradeshDeoria26.322983.672880Asia/Kolkatapopulated place

India: A Geographical Exploration of a Subcontinent

The Rich Diversity of India's Landscape

India, the seventh-largest country in the world by land area, is a nation of vast geographical contrasts. Stretching across much of South Asia, India’s topography encompasses everything from towering Himalayan peaks to arid deserts, fertile plains, dense forests, and bustling coastal cities. Situated between the Bay of Bengal and the Arabian Sea, India is a land of incredible variety, both in terms of its natural environment and its human geography.

The northern region is dominated by the majestic Himalayan mountain range, which acts as both a physical and cultural divide. These mountains not only define the climate of the region but also harbor some of the highest peaks on Earth, including Kangchenjunga and Mount Everest, just across the border. In stark contrast, the vast Indo-Gangetic plain to the south is one of the most densely populated regions in the world, nourished by the Ganges, Yamuna, and other major rivers that flow from the mountains to the sea.

To the west, the Thar Desert stretches across Rajasthan and parts of Pakistan, offering an entirely different landscape with its vast sand dunes and scarce vegetation. The southern half of India is characterized by lush forests, fertile river deltas, and tropical climates, providing an entirely new ecological and cultural environment. India’s coastline, along the Arabian Sea and Bay of Bengal, is dotted with ports, beaches, and ancient coastal cities, offering both economic opportunities and scenic beauty.

The Administrative Structure of India

India’s administrative structure is as diverse as its geography, divided into 28 states and 8 Union territories, each with its own unique geographical features, economy, and culture. The states are further divided into districts and towns, each playing an important role in the functioning of the country’s federal system. Understanding India’s administrative structure is key to understanding the way the country’s geography is utilized for development, resource distribution, and governance.

The states vary greatly in terms of geography, population density, and economic activity. For instance, Maharashtra, home to the financial capital Mumbai, is densely urbanized and economically advanced, while Bihar, located in the eastern part of the country, is one of the more rural states with a large agricultural base. Uttar Pradesh, one of India’s most populous states, is a critical region both historically and economically, with cities like Lucknow and Kanpur serving as key industrial and cultural hubs.

Southern states like Tamil Nadu and Kerala, with their extensive coastlines, contribute significantly to agriculture, tourism, and trade, while northeastern states such as Assam, Nagaland, and Mizoram offer rich natural resources and distinct cultural identities. The different climates and geographic locations of India’s states play a key role in the economic activities of each region, making geographic data essential for understanding the country’s spatial dynamics.

Cities of India: A Diverse Urban Landscape

India’s cities are an integral part of its geographic identity, reflecting the varied topography, history, and culture of the country. Cities like New Delhi, Mumbai, Kolkata, and Chennai represent the urban face of India, offering a mix of modern infrastructure, historical landmarks, and cultural richness. Each city, whether it is a mega-city or a smaller town, is a reflection of the geography in which it is located.

New Delhi, the capital city, is strategically located in the north and serves as the political center of the country, while Mumbai, located on the west coast, is India’s financial powerhouse, surrounded by a highly productive industrial and coastal zone. Kolkata, located in the east along the Hooghly River, is a major center for trade, culture, and education. Chennai, at the southeastern tip of the subcontinent, is the gateway to the Bay of Bengal and has a major influence on India’s southern economy, particularly in terms of shipping and trade.

Each of these cities is situated in unique geographic environments that influence their economic, social, and cultural identities. Smaller cities and towns, such as Bhopal in Madhya Pradesh or Jodhpur in Rajasthan, also carry their own unique geographical advantages, such as proximity to forests, mineral resources, or historical trade routes.

Understanding the geographic data of India’s cities—including their regions, departments, and exact coordinates—offers insight into how urban spaces are developed and how they interact with their surrounding natural environments. Access to detailed geographic data, such as latitude and longitude, can provide valuable perspectives on the distribution of resources, transportation networks, and urbanization patterns across the country.

Latitude and Longitude: Mapping India’s Cities and Regions

Latitude and longitude data are essential tools for mapping out the spatial organization of India’s cities and regions. With over 1.3 billion people spread across vast geographical areas, accurate geographic information allows for better urban planning, resource distribution, and disaster management.

For instance, knowing the exact coordinates of major cities like Mumbai and New Delhi helps geographers and urban planners analyze population density, infrastructure development, and resource allocation. Similarly, understanding the geographic distribution of rural and urban areas in states like Uttar Pradesh and Punjab provides insights into agricultural production, industrialization, and urban migration trends.

The latitude and longitude coordinates of cities and regions also help in optimizing transportation and logistics. India’s extensive road networks, railways, and air travel routes are heavily influenced by geographic proximity and accessibility. Accurate data on the location of these cities and regions allows for efficient transportation planning and helps reduce congestion and travel times between major hubs.

Geographical Data and Sustainable Development in India

Sustainability is a key concern for India, with rapid urbanization, climate change, and resource depletion posing significant challenges. Geographic data is crucial for implementing sustainable development policies that balance economic growth with environmental preservation. The vast geographic diversity of India presents both opportunities and challenges for managing natural resources such as water, forests, and agricultural land.

In regions like Rajasthan, where water scarcity is a major issue, geographic data can help identify areas for more efficient water use and conservation. In the fertile river deltas of Bengal or Andhra Pradesh, data can inform agricultural policies and water management systems that support food production without harming the environment. For areas at risk of flooding, such as Mumbai’s coastal zones, geographic data on urban development and infrastructure allows for better disaster preparedness and climate change adaptation strategies.

Understanding the geography of each region, especially through precise data on city locations and resource distribution, helps policymakers in India make informed decisions about how to manage resources, build resilient infrastructure, and promote sustainable growth across the country.

The Role of Geographic Data in India's Future Development

India’s future lies in leveraging its geographic data to make more informed decisions about development, infrastructure, and sustainability. Accurate information about the location of cities, regions, and natural resources is critical for making decisions on everything from energy distribution to urbanization strategies and environmental protection.

For instance, as India continues to urbanize, understanding the spatial distribution of cities and towns will be essential for managing the growing demand for housing, transportation, and public services. Additionally, knowing the exact geographic locations of critical resources like water bodies and forests can help balance development with environmental conservation, ensuring that future generations inherit a sustainable and equitable India.

Conclusion

In conclusion, obtaining detailed geographic data on the cities, regions, and natural resources of India—including their latitude and longitude coordinates—is essential for understanding the country’s spatial dynamics and planning for its future. By utilizing geographic data, India can improve urban planning, resource management, and sustainable development, ensuring that the country continues to grow in an environmentally and socially responsible manner.

FaQ about India

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  • Geoname_ID: This is a unique identifier for each place or geographical name in the Geoname database.
  • City: The name of the place, which can be a town, village or any other form of human settlement.
  • Alternate_Name: Other names or appellations that the place may have. These alternative names may be in different languages, dialects or even local names.
  • Country_Code: This is the ISO 3166-1 alpha-2 code for the country in which the place is located. For example, "US" for the United States, "FR" for France.
  • Region: This represents the first-order administrative division in which the location is situated. For example, this could be a state, province or territory.
  • Sub_region: This is a second-order administrative division, such as a county or district, within the region.
  • Latitude: The geographical latitude of the location, usually in decimal degrees.
  • Longitude: The geographical longitude of the location, also usually in decimal degrees.
  • Elevation: The elevation or altitude of the location in relation to sea level, usually measured in metres.
  • Population: The estimated number of inhabitants or population of the location.
  • Timezone: The time zone in which the location is located, in accordance with global time zone standards.
  • Fcode_Name: This is a code that categorises the type of location. For example, "PPL" could mean a populated place, while "PPLC" could be the capital of a political entity.
You will retrieve a .zip archive containing the country files in Excel, CSV, SQL, XML and JSON formats.
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Make sure your Internet connection is stable, as some files can be quite large and take a long time to download.
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