Skip to content
LAT37.8044° NLON122.2711° WX-13611157 mY4551831 mE564166 mN4184363 mE6050014 ftN2120204 ftBRG041.0°041.0°040.6°042.1°ZOOM11.0CRS
Dataset

Cities in Illinois

Access a comprehensive dataset featuring 2836 city locations across Illinois, providing vital geographical and administrative details for each city. Ideal for urban planning and demographic studies.

A map of Cities in Illinois
A map of Cities in IllinoisOpen the live map →

Make this map yours

Open it in Felt to style, filter, and analyse the data, or export it as a GeoPackage.

Open the map →Customize this map free

About the map

GIS professionals looking for comprehensive urban data will find valuable resources within the Illinois Cities dataset. This collection includes extensive details on over 2,800 cities, such as Chicago, Springfield, and Joliet. Each entry provides not just the name and geographic coordinates but also significant data on land and water area and administrative classifications. Whether planning urban development projects or conducting demographic analyses, these datasets serve as a fundamental tool for insightful geographic information systems studies across Illinois.

The Cities in Illinois dataset comprises a range of features, including:

  • Chicago
  • Indianapolis city (balance)
  • Wildwood
  • Columbia
  • Louisville/Jefferson County metro government (balance)
  • Joliet
  • Rockford
  • Springfield
  • Zionsville town
  • Gary
  • Carmel
  • Peoria
  • Evansville
  • Aurora
  • Decatur
  • South Bend
  • Bowling Green
  • Naperville
  • Elgin
  • Kokomo
  • Jefferson City
  • Fishers
  • Terre Haute
  • Noblesville

Upon completion of your Felt account setup, access your dedicated interactive map displaying Cities in Illinois. Employ various tools for customization, analysis, and seamless GeoPackage data export. You’ll also gain access to our extensive repository of pre-existing GIS data, featuring numerous additional datasets tailored for Illinois.

Explore related geographical datasets

Try Felt

Bring your data, see it on the map

Connect a database or drop in a file and see your data live on a map in minutes.