This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.

This layer is sourced from maps.bts.dot.gov.

This layer presents the locations of major cities within the United States with populations of approximately 10,000 or greater, state capitals, and the national capital. Major Cities are locations containing population totals from the 2020 Census.The points represent U.S. Census Places polygons sourced from U.S. Census Bureau 2020 TIGER FGDB (National Sub-State). Attribute fields include 2020 total population from the U.S. Census Public Law 94 data that symbolize the city points using these six classifications: Class Population Range 5 2,500 – 9,999 6 10,000 – 49,999 7 50,000 – 99,999 8 100,000 – 249,999 9 250,000 – 499,999 10 500,000 and overThis ready-to-use layer can be used in ArcGIS Pro and in ArcGIS Online and its configurable apps, dashboards, StoryMaps, custom apps, and mobile apps. The data can also be exported for offline workflows. Cite the 'U.S. Census Bureau' when using this data.

In 2022, the New Orleans-Metairie, LA metro area recorded the highest homicide rate of U.S. cities with a population over 250,000, at 27.1 homicides per 100,000 residents, followed by the Memphis, TN-MS-AR metro area. However, homicide data was not recorded in all U.S. metro areas, meaning that there may be some cities with a higher homicide rate.

St. Louis

St. Louis, which had a murder and nonnegligent manslaughter rate of 11.6 in 2022, is the second-largest city by population in Missouri. It is home to many famous treasures such as the St. Louis Cardinals baseball team, Washington University in St. Louis, the Saint Louis Zoo, and the renowned Gateway Arch. It is home to many corporations such as Monsanto, Arch Coal, and Emerson Electric. The economy of St. Louis is centered around business and healthcare, and in addition is home to ten Fortune 500 companies.

Crime in St. Louis

Despite all of this, St. Louis suffers from high levels of crime and violence. As of 2023, it was listed as the seventh most dangerous city in the world as a result of their extremely high murder rate. Not only does St. Louis have one of the highest homicide rates in the United States, it also reports one of the highest numbers of violent crimes. In spite of high crime levels, the GDP of the St. Louis metropolitan area has been increasing since 2001.

A dataset listing Iowa cities by population for 2024.

This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.

This layer is sourced from maps.bts.dot.gov.

A dataset listing Maine cities by population for 2024.

In 2023, around 3,640.56 violent crimes per 100,000 residents were reported in Oakland, California. This made Oakland the most dangerous city in the United States in that year. Four categories of violent crimes were used: murder and non-negligent manslaughter; forcible rape; robbery; and aggravated assault. Only cities with a population of at least 200,000 were considered.

A dataset listing Washington cities by population for 2024.

Published: August 2022A vector polygon GIS file of all city and town boundaries in New York State. The file was originally a compilation of U.S. Geological Survey 1:100,000-scale digital vector files and NYS Department of Transportation 1:24,000-scale and 1:75,000-scale digital vector files. Boundaries were revised to 1:24,000-scale positional accuracy and selectively updated based on municipal boundary reviews, court decisions and NYS Department of State Local Law filings for annexations, dissolutions, and incorporations. Currently, boundary changes are made based on NYS Department of State Local Law filings (http://locallaws.dos.ny.gov/). Additional updates and corrections are made as needed in partnership with municipalities.

U.S. Census Populated Place Areas represents the 2020 U.S. Census populated place areas of the United States that include incorporated places, cities, and census designated places identified by the U.S. Census Bureau.This layer is updated annually. The geography is sourced from U.S. Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrography to add a detailed coastline for cartographic purposes. Attribute fields include 2020 total population from the U.S. Census Public Law 94 data. The Population Class field values represent population ranges as follows:Population from 0 - 249Population from 250 - 499Population from 500 - 999Population from 1,000 - 2,499Population from 2,500 - 9,999Population from 10,000 - 49,999Population from 50,000 - 99,999Population from 100,000 - 249,999Population from 250,000 - 499,999Population 500,000 and overThis ready-to-use layer can be used in ArcGIS Pro and in ArcGIS Online and its configurable apps, dashboards, StoryMaps, custom apps, and mobile apps. The data can also be exported for offline workflows. Cite the 'U.S. Census Bureau' when using this data.

A dataset listing Virginia cities by population for 2024.

A dataset listing South Dakota cities by population for 2024.

A dataset listing Florida counties by population for 2024.

A dataset listing North Carolina counties by population for 2024.

A dataset listing California counties by population for 2024.

A dataset listing Georgia counties by population for 2024.

METWP24PD depicts dissolved political boundaries for all Organized Towns and Unorganized Territories in Maine at 1:24,000 scale. "Dissolved" means that municipalities or townships with multiple disconnected entities (ex. islands) are grouped as multipart polygons in a single geometry with the appropriate municipality or township label and attribute data. This approach reduces the number of labels required and improves layer drawing performance for low-bandwidth environments. Example: a town has 430 distinct island entities that are all labeled as "town" in addition to the municipality itself. When dissolved, it has only one geometry that includes all 430 entities' combined area and attributes with the municipality, and one label of "town". METWP24PD includes common town names and authoritative geocodes in its attribute information. The layer was created using the USGS 7.5-minute map series and the Maine GIS base layer COAST, which contains Maine's coastal Mean High Water (MHW) mark and Maine islands. To correct mapping errors and reflect changes to Minor Civil Division (MCD) boundaries, arcs and polygons were added or updated using the following data sources: photorevised USGS data; Maine GIS base layer coincident features; legal descriptions; GPS data; and Maine Department of Transportation (MEDOT) engineering plans. METWP24P also contains USGS 1:100,000-scale data and U.S. Department of Commerce Census Bureau TIGER Line Files from 1990 and 2000 where these provide a more correct or best available representation of a feature in question.

METWP24P depicts political boundaries for all Organized Towns and Unorganized Territories in Maine at 1:24,000 scale. The layer also includes common town names and authoritative geocodes. The layer was created using the USGS 7.5-minute map series and the Maine GIS base layer COAST, which contains Maine's coastal Mean High Water (MHW) mark and Maine islands. To correct mapping errors and reflect changes to Minor Civil Division (MCD) boundaries, arcs and polygons were added or updated using the following data sources: photorevised USGS data; Maine GIS base layer coincident features; legal descriptions; GPS data; and Maine Department of Transportation (MEDOT) engineering plans. METWP24P also contains USGS 1:100,000-scale data and U.S. Department of Commerce Census Bureau TIGER Line Files from 1990 and 2000 where these provide a more correct or best available representation of a feature in question.