Find Cities in Radius

• What is a city radius search
• What counts as a city
• How to use the tool
• Common search examples
• Typical city density by region
• Use cases & worked examples
• Distance methodology
• How this compares to alternatives
• Limitations & accuracy notes
• Glossary
• Frequently asked questions
• Data sources

What is a city radius search?

A city radius searchreturns every populated place in the US whose center falls within a chosen distance — the "radius" — of a point on the map. The point can be an address, a ZIP code, a landmark, your current GPS location, or another city. The result is the list of cities, towns, and villages you can reach, target, or analyze inside that circle.

City radius searches power a wide range of work that ZIP-code searches can't:(1) sales territory design where reps need a list of named places to visit, (2) event marketing where you want to know which towns to invite,(3) candidate sourcing where you need a hiring radius around an office, and (4) distribution and routing where city names map cleanly onto road signs and dispatch software. ZIPs are postal routing codes — cities are the units humans actually navigate.

This tool answers four common questions: (1) Which cities are inside my area? (2) How many people live across them? (3) Which counties do they cover? (4) Can I get a clean list to import elsewhere? Every answer is computed in your browser against pre-loaded Census data — no server, no API key, no rate limit.

What counts as a "city"?

The US has roughly 19,500 incorporated places (cities, towns, villages, boroughs) plus around 10,000 Census-designated places (CDPs) without their own government. The Census Bureau treats both kinds as "populated places" for statistical reporting, and so does this tool.

All five types appear in the search results when they have at least one Census-tracked resident and a postal name. If you want only the larger places, use the Min population filter (1K, 5K, 25K, 100K, 500K) to hide micro-villages.

How to use this tool

Common search examples

The numbers below come from real searches in this tool with no minimum population filter — useful as a sanity check for what to expect when you center on a major metro area.

Typical city density by region type

City density tracks population density. A 25-mile radius in midtown Manhattan returns roughly 25× as many cities as the same radius in western Nebraska. Use this table to set realistic expectations and pick a radius that returns a useful number of results for your area.

Who uses city radius search

1. Sales territory design

Sales managers carve up the country into territories assigned to individual reps. City lists are easier to assign and explain than ZIP lists — "you cover everything within 50 mi of Indianapolis" reads cleanly to a new hire and maps onto a CRM's city field.

2. Event marketing and conferences

Event planners use city radii to build invite lists, predict travel demand, and estimate attendance. A 100-mile radius around a venue captures the realistic day-trip and short-drive market.

3. Talent sourcing and recruiting

Recruiters define a hiring radius around an office and source candidates from the cities inside it. The population total helps estimate the addressable talent pool, and the metro-area tag groups cities into commuter regions.

4. Distribution and route planning

Distributors and field service businesses need a list of named towns to plan weekly visits, stocking runs, and service routes. The CSV imports into routing software like Routific, OptimoRoute, or Salesforce Maps.

5. Retail site selection

Retailers picking new store locations pull a 25–50 mi city list around each candidate site to model trade-area population and identify cannibalization risk from existing locations.

6. Political campaigns and door-knocking

Local candidates and ballot-measure campaigns plan canvasses by city. A radius around a campaign HQ surfaces the priority cities for organizing, signage, and mailers.

7. Real estate investment analysis

Investors comparing markets pull city lists around each candidate metro to benchmark population, growth, and competitive supply. The tool gives a quick apples-to-apples view across multiple metros.

8. Data science and feature engineering

Data teams use city radius lookups to build location features — "count of nearby cities by population", "nearest city of size X", and so on — for churn models, fraud detection, and recommendation systems.

How the distance calculation works

The tool uses the Haversine formula to compute great-circle distance between the center point and each city centroid — the shortest path between two points on the surface of a sphere.

a = sin²(Δφ/2) + cos(φ₁) · cos(φ₂) · sin²(Δλ/2)
c = 2 · atan2(√a, √(1−a))
d = R · c            // R = 3959 mi (Earth radius)

Each city is represented by a single coordinate: the population-weighted centroidof all the ZIPs assigned to that city in a given state. This is more accurate than the geometric center for cities with awkward boundaries (long thin cities, cities with annexed industrial zones, cities around bays or rivers). It answers "is the typical resident inside my radius?" rather than "does any sliver of city land cross it?".

Inclusion is binary. A city whose centroid is 50.1 mi from your point is excluded from a 50 mi radius even if part of its territory falls inside. Tighten or loosen the radius slightly if you need edge cases captured.

The visible circle on the map is rendered as a true geodesic polygon (Turf.js, 80 vertices), so it respects Earth's curvature. At small radii the difference is invisible. At 200+ miles or near the poles, a flat-projection circle would visibly distort — the geodesic version does not.

How this compares to alternatives

City radius lookups exist in several other tools and services. Here's an honest side-by-side so you can pick the right one for your job.

Limitations & accuracy notes

We're upfront about what this tool does and doesn't do. Knowing the limitations helps you avoid the common mistakes of city-based geographic analysis.

• Cities are points, not polygons.Each city is a single centroid. A large city like Houston extends 25+ miles end-to-end, but its centroid is one point. A nearby suburb may be closer to your search center than the Houston centroid even if it's technically "inside" Houston.
• City names are not unique.There are 41 Springfield's in the US. We key on city + state, so duplicates are kept distinct, but be careful when joining city-only data without state context.
• Some places overlap.A CDP can sit inside an incorporated city's boundary, or two CDPs can overlap. Both will appear in results.
• Population is annual, not real-time. Census ACS estimates lag by 1–3 years. Use for planning and analysis, not for legal reporting.
• Straight-line distance, not driving distance. A city 30 mi away as the crow flies might be a 90-minute drive in mountains or city traffic. Use a drive-time tool for routing.
• Centroid-based inclusion misses edges. A large rural city can extend many miles past its centroid. If you need every address within a precise distance, use a drive-time isochrone tool.

Glossary

Incorporated city

A city with its own legal government, charter, and boundaries — e.g., Los Angeles, Chicago, Atlanta. Often distinct from the broader metro area.

Census-designated place (CDP)

A populated area without its own municipal government that the Census Bureau tracks for statistical purposes — e.g., Silver Spring MD, The Villages FL. Counted as a "city" in this tool.

Town / township

A unit of local government in some states (especially the Northeast and Midwest). May or may not function as a city. Treated as cities in this tool when they have a postal name and population.

Metropolitan Statistical Area (MSA / CBSA)

A region with at least one urban core of 50,000+ residents, plus economically tied surrounding counties. The "Metro area" column in results shows the MSA each city belongs to.

Population-weighted centroid

The average location of every resident in a city, weighted by where they actually live. More accurate for service-area analysis than the geometric center, especially for large or oddly-shaped cities.

Haversine distance

Great-circle distance between two points on a sphere. Used for accurate distance over the curved surface of Earth.

ZCTA

ZIP Code Tabulation Area — Census polygons used to aggregate population and other data into ZIP-like areas. City coordinates here are derived by aggregating ZCTAs assigned to each city name.

Drive time vs straight line

This tool uses straight-line ("as the crow flies") distance. Drive time can be 1.5–3× longer because of road networks, traffic, and terrain.

Related tools and resources

For mailing lists or postal targeting, use Find ZIP Codes in Radius — same map, same drag-to-resize handle, but it returns ZIP codes with visual ZCTA polygons instead of city points.

If you need the total population within a radius (not broken down by city), the Population Within Radius tool calculates aggregated demographics for any circular area.

For drawing radius circles on a worldwide map without city data attached, use the Map Radius Tool — it works internationally and supports multiple circles.

Not sure what city you're currently in? The What City Am I In? tool uses GPS or address lookup to identify your city instantly.

Browsing by state? Each state has a county directory:

Frequently asked questions

City coordinates, population, county, and metropolitan area aggregated from the SimpleMaps US ZIP Codes Database (US Census ACS + ZCTA data), grouped by city + state with population-weighted centroids. 27,722 distinct populated places. Address autocomplete uses the Photon geocoder with OpenStreetMap data. Reverse geocoding uses Nominatim. Distances use the Haversine great-circle formula. Map rendering uses MapLibre GL JS with OpenFreeMap tiles and Turf.js for the geodesic radius polygon.