United States cities list with latitude and longitude in Excel, CSV, SQL, XML, JSON formats
Last update : 22 January 2026.
This is the best list of 166794 cities in the United States 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 United States file that you are going to retrieve. The data is displayed here in the form of a table:
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 5082698 | Antrim | Antrim,Society Land | US | New Hampshire | Hillsborough County | 43.03091 | -71.93897 | 214 | 1397 | America/New_York | populated place |
| 4643229 | Mount Cumberland | US | Tennessee | McMinn County | 35.41174 | -84.55188 | 269 | 0 | America/New_York | populated place | |
| 4227187 | Trudie | US | Georgia | Brantley County | 31.30022 | -81.96428 | 17 | 0 | America/New_York | populated place | |
| 5712658 | Barview | Bar View,Barview,Life Saving Station | US | Oregon | Tillamook County | 45.56983 | -123.94347 | 11 | 0 | America/Los_Angeles | populated place |
| 5145410 | Adamsville | Adamsville,Mechanicsville | US | Ohio | Muskingum County | 40.06979 | -81.88235 | 311 | 116 | America/New_York | populated place |
| 4583751 | Jordan Mill | US | South Carolina | Kershaw County | 34.4071 | -80.50757 | 106 | 0 | America/New_York | populated place | |
| 4065664 | Gurley | US | Alabama | Blount County | 33.77649 | -86.63777 | 194 | 886 | America/Chicago | populated place | |
| 4899248 | Lakewood | US | Illinois | Mason County | 40.24727 | -90.08512 | 142 | 0 | America/Chicago | populated place | |
| 4401559 | Oakland | US | Missouri | Laclede County | 37.63643 | -92.55934 | 380 | 0 | America/Chicago | populated place | |
| 4047603 | Bendale | US | Alabama | Jefferson County | 33.56205 | -86.7811 | 186 | 0 | America/Chicago | populated place | |
| 5763976 | Dalzell | US | South Dakota | Meade County | 44.3436 | -102.39655 | 763 | 0 | America/Denver | populated place | |
| 5267288 | Plainfield | Norwich,Plainfield | US | Wisconsin | Waushara County | 44.21386 | -89.49234 | 338 | 834 | America/Chicago | populated place |
| 5782005 | Springtree Condominium | US | Utah | Salt Lake County | 40.65078 | -111.87493 | 1314 | 0 | America/Denver | populated place | |
| 5171908 | Shepherdstown | Shepherds Town,Shepherdstown,Shepherdtown | US | Ohio | Belmont County | 40.15896 | -80.94343 | 376 | 0 | America/New_York | populated place |
| 7191967 | Paradise Lakes Mobile Home Park | US | Florida | Polk County | 27.91933 | -81.97637 | 40 | 0 | America/New_York | populated place | |
| 5129888 | Ontario Beach | US | New York | Monroe County | 43.26006 | -77.61111 | 79 | 0 | America/New_York | populated place | |
| 4202045 | Ingleside | US | Georgia | Bibb County | 32.85153 | -83.67546 | 149 | 0 | America/New_York | populated place | |
| 5715674 | Breitenbush Hot Springs | Breitenbush,Breitenbush Hot Springs,Breitenbush Springs | US | Oregon | Marion County | 44.7829 | -121.97896 | 683 | 0 | America/Los_Angeles | populated place |
| 5524892 | Las Casitas Number 3 Colonia | US | Texas | El Paso County | 31.80816 | -106.18165 | 1234 | 0 | America/Denver | populated place | |
| 4716202 | Oklaunion | US | Texas | Wilbarger County | 34.12953 | -99.14285 | 374 | 0 | America/Chicago | populated place | |
| 5697633 | Mitchell | US | Nebraska | Scotts Bluff County | 41.94024 | -103.80856 | 1205 | 1666 | America/Denver | populated place | |
| 4385287 | Egypt Mills | US | Missouri | Cape Girardeau County | 37.40505 | -89.4637 | 113 | 0 | America/Chicago | populated place | |
| 4055855 | Cliff Haven | US | Alabama | Colbert County | 34.77731 | -87.67308 | 180 | 0 | America/Chicago | populated place | |
| 5137767 | Shandelee | US | New York | Sullivan County | 41.87898 | -74.87127 | 646 | 0 | America/New_York | populated place | |
| 4478397 | Mayfield | US | North Carolina | Caldwell County | 35.81874 | -81.48148 | 362 | 0 | America/New_York | populated place | |
| 4467074 | Fox Run | US | North Carolina | Durham County | 36.14125 | -78.96445 | 158 | 0 | America/New_York | populated place | |
| 4818145 | Pigeon | US | West Virginia | Roane County | 38.53676 | -81.20845 | 266 | 0 | America/New_York | populated place | |
| 4772961 | Midway | US | Virginia | King William County | 37.7557 | -77.12636 | 45 | 0 | America/New_York | populated place | |
| 4265256 | Stalcup Corner | US | Indiana | Greene County | 38.99449 | -87.01612 | 166 | 0 | America/Indiana/Indianapolis | populated place | |
| 4797264 | Andrew | US | West Virginia | Boone County | 38.1001 | -81.71734 | 264 | 0 | America/New_York | populated place | |
| 5024054 | Deer Creek | City of Deer Creek,Deer Creek | US | Minnesota | Otter Tail County | 46.39107 | -95.32142 | 425 | 323 | America/Chicago | populated place |
| 5815544 | West Longview | US | Washington | Cowlitz County | 46.16789 | -122.999 | 4 | 2698 | America/Los_Angeles | populated place | |
| 5231799 | Shindler | US | South Dakota | Lincoln County | 43.47498 | -96.64866 | 428 | 584 | America/Chicago | populated place | |
| 5569854 | Pumpkin Center | US | California | Lassen County | 41.10989 | -121.10664 | 1260 | 0 | America/Los_Angeles | populated place | |
| 4398038 | Meramec Terrace | US | Missouri | Franklin County | 38.41589 | -90.83013 | 154 | 0 | America/Chicago | populated place | |
| 4048042 | Gwinnstone | US | Georgia | Gwinnett County | 33.83844 | -84.03269 | 312 | 0 | America/New_York | populated place | |
| 4093781 | Tinela | US | Alabama | Monroe County | 31.80849 | -87.39721 | 64 | 0 | America/Chicago | populated place | |
| 4070842 | Kincheon | US | Alabama | Chilton County | 32.75707 | -86.70193 | 169 | 0 | America/Chicago | populated place | |
| 7258847 | Lebanon South | Lebanon South,Lebanon South CDP | US | Pennsylvania | Lebanon County | 40.32804 | -76.40644 | 158 | 2270 | America/New_York | populated place |
| 7208712 | Greenfield Village | US | Texas | Harris County | 29.9472 | -95.4768 | 32 | 0 | America/Chicago | populated place | |
| 4813635 | Man | Buffalo City,Man,man,mn wyrjynyay ghrby,Ман,مان,من، ویرجینیای غربی | US | West Virginia | Logan County | 37.73983 | -81.87762 | 225 | 704 | America/New_York | populated place |
| 4671854 | BJB Colonia | BJB Colonia,BJB Subdivision Colonia | US | Texas | Hidalgo County | 26.3784 | -98.14529 | 26 | 0 | America/Chicago | populated place |
| 4047413 | Bellevue | Bellevue,Bellevue Highlands,Belvue | US | Alabama | Etowah County | 34.03454 | -86.02192 | 245 | 0 | America/Chicago | populated place |
| 5104773 | Somersetin | US | New Jersey | Somerset County | 40.7401 | -74.57627 | 183 | 0 | America/New_York | populated place | |
| 7217005 | Fairview Terrace | US | Florida | Hillsborough County | 28.0347 | -82.4454 | 10 | 0 | America/New_York | populated place | |
| 5565442 | Hotlum | US | California | Siskiyou County | 41.47404 | -122.31446 | 1261 | 0 | America/Los_Angeles | populated place | |
| 4252767 | West End | West End,Westend | US | Illinois | Saline County | 37.89005 | -88.70561 | 137 | 0 | America/Chicago | populated place |
| 4648911 | Peters Mill | US | Tennessee | Knox County | 35.96731 | -83.70212 | 261 | 0 | America/New_York | populated place | |
| 4635291 | Lakeside | US | Tennessee | Rhea County | 35.71035 | -84.75189 | 226 | 0 | America/New_York | populated place | |
| 5724352 | Dundee | Dundee,Dundee Junction | US | Oregon | Yamhill County | 45.27817 | -123.01094 | 64 | 3200 | America/Los_Angeles | populated place |
| 4668367 | Windmere | US | Tennessee | Sullivan County | 36.50566 | -82.53932 | 423 | 0 | America/New_York | populated place | |
| 5299095 | Hunt | US | Arizona | Apache County | 34.61003 | -109.62761 | 1656 | 0 | America/Phoenix | populated place | |
| 4968204 | Jacksonville | US | Maine | Washington County | 44.76063 | -67.39527 | 14 | 0 | America/New_York | populated place | |
| 4222176 | Shandra Estates | US | Georgia | Fulton County | 33.58956 | -84.52299 | 290 | 0 | America/New_York | populated place | |
| 4398194 | Midland | US | Missouri | Crawford County | 37.97838 | -91.32709 | 270 | 0 | America/Chicago | populated place | |
| 5251102 | Duveneck | US | Wisconsin | Manitowoc County | 44.01694 | -87.71175 | 201 | 0 | America/Chicago | populated place | |
| 5500696 | Bristol | Bristol,Bristol City,National City | US | Nevada | Lincoln County | 38.07996 | -114.61944 | 2141 | 0 | America/Los_Angeles | populated place |
| 11387703 | Stepping Stone | US | Ohio | Franklin County | 40.01981 | -82.82282 | 296 | 0 | America/New_York | populated place | |
| 7209280 | Sterling Green South | US | Texas | Harris County | 29.7958 | -95.1553 | 10 | 0 | America/Chicago | populated place | |
| 4584597 | Landsdowne | US | South Carolina | Charleston County | 32.72351 | -79.95342 | 3 | 0 | America/New_York | populated place | |
| 4928117 | Western Village | US | Indiana | Madison County | 40.1081 | -85.7172 | 265 | 0 | America/Indiana/Indianapolis | populated place | |
| 4348037 | Bay Shore Acres | US | Maryland | Worcester County | 38.34289 | -75.10352 | 1 | 0 | America/New_York | populated place | |
| 5551138 | Ali Chukson | Al Chuk Shon,Ali Chuk Son,Ali Chukson,Alit Ju Kson,Alitjukson,Little Tucson,Little Tuscon,Tucson Hill,Tucsoncito,Tucsonito,Tusconcito | US | Arizona | Pima County | 31.91369 | -111.79929 | 787 | 132 | America/Phoenix | populated place |
| 7149239 | Telford Chase | US | Pennsylvania | Bucks County | 40.3216 | -75.3151 | 147 | 0 | America/New_York | populated place | |
| 4794236 | Winnie | US | Virginia | Nottoway County | 37.07321 | -78.13222 | 148 | 0 | America/New_York | populated place | |
| 4316411 | Belmont Landing | US | Louisiana | West Baton Rouge Parish | 30.50824 | -91.24316 | 5 | 0 | America/Chicago | populated place | |
| 4119248 | Little Garnett | Cross Road Station,Little Garnett | US | Arkansas | Lincoln County | 33.86316 | -91.80374 | 116 | 0 | America/Chicago | populated place |
| 4378530 | Broseley | Bailey,Baileys End,Broseley | US | Missouri | Butler County | 36.67506 | -90.24177 | 98 | 0 | America/Chicago | populated place |
| 4370362 | Stevenson Park | US | Maryland | Anne Arundel County | 39.1265 | -76.64747 | 32 | 0 | America/New_York | populated place | |
| 4677432 | Bunker Hill Village | US | Texas | Harris County | 29.76745 | -95.52994 | 25 | 3957 | America/Chicago | populated place | |
| 4664055 | Union Grove | US | Tennessee | Bradley County | 35.08508 | -84.79189 | 274 | 0 | America/New_York | populated place | |
| 4059921 | East Irondale | US | Alabama | Jefferson County | 33.53066 | -86.68888 | 281 | 0 | America/Chicago | populated place | |
| 4304235 | Pilcher Landing | US | Kentucky | Meade County | 37.99202 | -86.01747 | 126 | 0 | America/New_York | populated place | |
| 4924191 | Noble | US | Indiana | Jay County | 40.46949 | -84.82607 | 281 | 0 | America/Indiana/Indianapolis | populated place | |
| 4704261 | Lagarto | Lagarta,Lagarto | US | Texas | Live Oak County | 28.11945 | -97.95556 | 49 | 0 | America/Chicago | populated place |
| 5436099 | Redlands | US | Colorado | Mesa County | 39.07887 | -108.63565 | 1419 | 8685 | America/Denver | populated place | |
| 5731629 | Holley | US | Oregon | Linn County | 44.35429 | -122.78342 | 192 | 378 | America/Los_Angeles | populated place | |
| 4945518 | North Beverly | US | Massachusetts | Essex County | 42.58065 | -70.88699 | 17 | 0 | America/New_York | populated place | |
| 4253772 | Albion | US | Indiana | Scott County | 38.74367 | -85.73413 | 192 | 0 | America/Indiana/Indianapolis | populated place | |
| 4493188 | Stallings Crossroads | Stallings,Stallings Crossroads | US | North Carolina | Franklin County | 36.09404 | -78.16527 | 117 | 0 | America/New_York | populated place |
| 5793434 | Edna | US | Washington | Benton County | 46.58958 | -119.41447 | 123 | 0 | America/Los_Angeles | populated place | |
| 5545568 | Red Lake Village | US | Utah | San Juan County | 37.19722 | -109.32373 | 1453 | 0 | America/Denver | populated place | |
| 4079925 | New Moon | US | Alabama | Cherokee County | 34.39314 | -85.52024 | 207 | 0 | America/Chicago | populated place | |
| 4777064 | Odricks Corner | US | Virginia | Fairfax County | 38.93872 | -77.23137 | 114 | 0 | America/New_York | populated place | |
| 4828812 | Jasper | US | North Carolina | Craven County | 35.20155 | -77.20662 | 11 | 0 | America/New_York | populated place | |
| 4192067 | Drew | US | Georgia | Forsyth County | 34.20843 | -84.21964 | 350 | 0 | America/New_York | populated place | |
| 4998189 | Kingsford | Kingsford,kynghzfwrd,kyngzfwrd myshygan,Кингсфорд,كينغزفورد,کینگزفورد، میشیگان | US | Michigan | Dickinson County | 45.79496 | -88.07207 | 335 | 5069 | America/Menominee | populated place |
| 4787037 | Spring Garden Mobile Home Park | US | Virginia | City of Petersburg | 37.21432 | -77.3647 | 42 | 0 | America/New_York | populated place | |
| 7236555 | Ruby’s Mobile Home Park | US | Michigan | Clare County | 43.83417 | -84.76889 | 266 | 0 | America/Detroit | populated place | |
| 4763793 | Herndon | Kherndon,hrndn wyrjynya,hyrndwn,Херндон,هرندن، ویرجینیا,هيرندون | US | Virginia | Fairfax County | 38.96955 | -77.3861 | 110 | 24568 | America/New_York | populated place |
| 5808636 | Rockdale | US | Washington | King County | 47.39233 | -121.45426 | 771 | 0 | America/Los_Angeles | populated place | |
| 5199342 | Lymansville | US | Pennsylvania | Potter County | 41.77312 | -77.98473 | 521 | 0 | America/New_York | populated place | |
| 5138751 | South Bolivar | Honeoye Corners,Honeoye Forks,South Bolivar | US | New York | Allegany County | 42.0059 | -78.11529 | 468 | 0 | America/New_York | populated place |
| 4586328 | Marsh Cove | US | South Carolina | Charleston County | 32.81684 | -80.02842 | 5 | 0 | America/New_York | populated place | |
| 4600388 | Weeks | US | South Carolina | Colleton County | 33.04683 | -80.62649 | 26 | 0 | America/New_York | populated place | |
| 4678872 | Cantu Addition | US | Texas | Brooks County | 27.20254 | -98.15528 | 34 | 188 | America/Chicago | populated place | |
| 4337903 | Porters River Landing | US | Louisiana | Saint Tammany Parish | 30.36214 | -89.73201 | 4 | 0 | America/Chicago | populated place | |
| 4764010 | High Hill | US | Virginia | Halifax County | 36.63597 | -78.74917 | 150 | 0 | America/New_York | populated place | |
| 4678586 | Camp Willow | US | Texas | Guadalupe County | 29.66578 | -98.06862 | 179 | 0 | America/Chicago | populated place | |
| 4605074 | Beech Hill | US | Tennessee | Giles County | 35.2298 | -86.88917 | 230 | 0 | America/Chicago | populated place |
Understanding the United States: A Geographical Exploration
The Vast and Diverse Landscape of the United States
The United States, stretching from the Atlantic Ocean in the east to the Pacific Ocean in the west, is a country of remarkable geographical diversity. From the icy tundras of Alaska to the sun-drenched deserts of Arizona, and from the flat plains of the Midwest to the towering peaks of the Rockies, the geography of the United States is as varied as the people who live within it. This expansive country, which spans over 3.8 million square miles, offers a multitude of landscapes that range from coastal marshlands to dense forests, rugged mountains, and sprawling urban environments.
This geographic diversity has a profound impact on the country’s climate, culture, economy, and even the administrative divisions that govern its cities and regions. Understanding the geography of the United States requires not just knowledge of its physical features, but also an understanding of how these landscapes shape the lives of its inhabitants and influence the nation's development.
The Structure of Cities, Regions, and Administrative Divisions in the United States
The United States is divided into 50 states, each with its own government and geographical features. These states are further divided into counties, cities, towns, and other local jurisdictions. Within these cities, the boundaries between regions can be significant, shaping local culture, economy, and governance. While some cities serve as major metropolitan hubs like New York, Los Angeles, and Chicago, others are known for their regional importance, such as Denver in the West or Dallas in the South.
Each of these cities and their surrounding regions plays a vital role in the United States’ overall functioning. Understanding the geographic layout of cities, regions, and their administrative divisions is crucial for comprehending the complexities of the country’s political, economic, and social fabric. These cities are not just places on a map—they represent the beating heart of American life and governance.
How Geographical Data Shapes Our Understanding of the United States
Geographical data plays an essential role in understanding the United States. Knowing the precise locations of cities, counties, and regions, including their exact latitude and longitude, helps to provide a clear picture of how the United States is organized and how its population is distributed. This data is not merely academic—it has practical applications for businesses, urban planning, environmental studies, and much more.
For example, having access to accurate geographical coordinates allows for better transportation planning, disaster response strategies, and urban development projects. By understanding where cities and regions are located, how far they are from one another, and what geographical features separate them, we gain insights into their economic ties, cultural connections, and logistical challenges.
The Importance of Detailed Geographic Data for the United States
In today’s data-driven world, having access to comprehensive geographic data is more important than ever. For anyone researching, planning, or analyzing the United States, understanding the precise latitude and longitude of cities, their regions, and the departments they belong to is invaluable. Accurate data helps urban planners optimize city layouts, assists environmentalists in mapping ecosystems, and supports academics in researching geographical trends.
Our database offers exactly that—detailed, up-to-date information about the cities of the United States, their regions, and their administrative divisions. With this data, you can not only find the location of any city but also understand how it fits within the larger framework of the country’s geographical structure. Whether you are a geographer, urban planner, or someone with a deep interest in the United States, access to this data allows for a much more nuanced understanding of the country’s geographical makeup.
Unlocking the Potential of United States Geographic Data
Having the right geographical data opens up a world of possibilities for research, development, and decision-making. By accessing our comprehensive database of the United States’ cities, regions, and departments, you can unlock the potential to study the United States’ geography in more detail than ever before.
Our platform provides precise data on the geographical locations of cities, allowing for in-depth analysis of spatial distribution, population patterns, and regional economies. Whether you are studying the cities of the East Coast or the vast, open spaces of the West, this data is essential for anyone seeking to understand the United States on a deeper level.
A New Era of Geographical Exploration
As we continue to move further into the digital age, the accessibility of geographical data has become more important than ever. The ability to access detailed geographic information, such as the latitude and longitude of each city, provides an opportunity for greater exploration and analysis. Our platform is designed to facilitate this exploration by offering you the tools you need to access accurate and detailed data about the United States.
With our database, you can explore the country’s vast and diverse geography in ways that were once impossible. Whether you are focused on urban development, environmental studies, or simply want to learn more about the United States' geography, the possibilities are endless when you have the right data at your fingertips.
Conclusion: The Power of Geographical Data for Understanding the United States
The United States is a country of remarkable geographical diversity, with a vast array of cities, regions, and landscapes that shape its culture, economy, and society. By gaining access to detailed geographical data, you can unlock a deeper understanding of the United States and its many complexities. Our platform provides you with the tools to explore this country’s geography in ways that go beyond the surface—allowing for informed decision-making, enhanced research, and a more profound understanding of the nation as a whole.
FaQ about United States
- 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.