Distribution of @properties Locations Across United States of America by State

@properties operates 95 United States of America locations across 8 states. Largest clusters are in Illinois, Indiana, and Michigan; the top 10 states contain 100.0% of sites. Coverage is thinner in Wisconsin, DistrictofColumbia, and Virginia.

Top 10 States with the most number of @properties locations in United States of America

@properties has 95 locations in the United States, with 57.9% concentrated in Illinois (55 locations). Indiana and Michigan follow with 14 and 12 locations, representing 14.7% and 12.6% respectively, making the top three states cover 85.3% of all locations. Texas, Virginia, and Wisconsin show the highest population per location, indicating more stretched service areas, while Illinois, Indiana, and Michigan offer the best access with the lowest population per location ratios.

@properties per capita insights

• States (Illinois, Indiana, Michigan) enjoy the best per capita access to @properties.
• States like Texas, Wisconsin, Virginia, despite their large number of locations, are under-served on a per-person basis, signaling potential demand for suburban expansion.
• Several states strike a balance between population growth and @properties density, making them hotspots for sustained competition.

Cities With the Most @properties Locations in the United States of America

Locations concentrate around major metros such as Cook, Dupage, Lake, Marion, and Montgomery. The top 10 cities account for 75.8% of U.S. sites.

Top 10 Cities Ranked by Location Count

@properties operates 95 locations across the United States, with 75.8% concentrated in the top 10 cities. Cook, Illinois leads with 37 locations, followed by Dupage and Lake, Illinois, with 8 and 7 respectively. Other notable cities include Marion, Indiana (4 locations) and Montgomery, Maryland (3 locations).

Street-level hotspots (busiest streets with multiple @properties)

Street-level clusters show corridors where multiple @properties locations sit within the same neighborhood indicating strong local presence and coherence. @properties operates a total of 95 nationwide.

Download @properties Outlets Points of Interest Data

The complete dataset of @properties locations across the United States of America is available for download, including coordinates, traffic patterns, and operational status.

Key Variables for @properties Points of Interests

@properties has 95 locations across the United States of America. The key variables shows the most infleuntial aspects for @properties locations nationwide. This provides a closer look of how @properties is operating from different prespectives.

Average Area Covered Per @properties Locations (By State)

@properties' listings span several U.S. states, with Illinois having the highest number of locations at 55 and an area of about 149,995 km². Texas is the largest state by land area at approximately 695,668 km² but has only 3 locations. Maryland is the smallest state by area among those listed, covering about 32,131 km² with 5 locations. Other states include Indiana, Michigan, Wisconsin, the District of Columbia, and Virginia, with varying area sizes and location counts.

Business Status of @properties Locations (Open vs Closed)

The @properties brand has the largest presence in Illinois with 35 open locations out of 55 total, representing 63.6% open. Indiana follows with 11 open offices and no closures, achieving a 78.6% open rate. Maryland and the District of Columbia exhibit the highest open percentages at 80.0% and 100.0%, respectively, with Maryland having 4 open out of 5 total and D.C. maintaining 2 open locations. Texas shows the lowest open rate at 33.3%, with only 1 open office out of 3.

Customer Reviews and Ratings of @properties Locations

This section summarizes customer sentiment toward @properties. Using ratings and review totals from 95 locations, we highlight where scores are consistently high and where feedback volume is greatest. Average star ratings reflect perceived quality, while total reviews indicate engagement and reach across the network.

Average Ratings

@properties achieved the highest average rating of 5.0 in Virginia, followed by Maryland at 4.9. Illinois, District of Columbia, and Michigan each had an average rating of 4.7. Illinois also led in the number of reviews with 423, significantly more than Wisconsin's 139 and Texas's 37.

Number of Reviews

The table for @properties in the United States shows Illinois leading with the highest number of reviews at 423, followed by Wisconsin with 139. Virginia stands out with a perfect average rating of 5.0, while Maryland, the District of Columbia, Illinois, and Michigan each have average ratings ranging from 4.7 to 4.9. Texas and Maryland have notably fewer reviews, with 37 and 26 respectively.

@properties Locations With Verified Contact Information

Contact Information

@properties has complete phone coverage across all its listings in eight states within the United States. Illinois leads with 55 listings, followed by Indiana with 14 and Michigan with 12, all at 100% phone coverage. Smaller states like Virginia and the District of Columbia also maintain full phone presence, each with one and two listings respectively. Every state listed shows a perfect phone coverage rate of 100%.

Use cases for @properties Points of Interests Data

Market Analysis

@properties POI data enables clear measurement of footprint and demand. Analysts can rank states and cities by location count, compare coverage on a per-capita basis, and use traffic scores and review volumes to spot high-performing markets and under-served pockets. The result is an objective view of saturation, growth opportunities, and performance outliers.

Site Selection

For network planning, the data supports scoring candidate trade areas using location density, population per location, and nearby traffic intensity. Teams can evaluate cannibalization risk via nearest-store distance, surface whitespace along key corridors, and prioritize sites near retail anchors, campuses, or transit where observed activity is strongest.

Urban Planning

Planners can map clusters and service gaps to understand commercial access at the neighborhood level. Per-capita coverage highlights communities with limited access, while changes in openings or closures signal shifts in activity. These insights inform corridor revitalization, streetscape and transit planning, and data-driven zoning decisions.

How this xMap's POI data can help businesses?

• Accuracy and Precision: xMap data offers high-accuracy data, which minimizes the chances of wrong decisions based on flawed information.
• Complete Data: With xMap, businesses have access to comprehensive and complete data, effectively filling any knowledge gaps and providing a well-rounded view for decision making.
• Up-to-Date Information: xMap ensures that the data provided is regularly updated, which allows businesses to make dynamic, timely decisions in tune with current trends and situations.
• Scalability: xMap data allows businesses to scale their operations efficiently, by providing insights that cater to varying business sizes and requirements.
• Analytical Power: Utilizing xMap data's analytics can help identify patterns and trends, thus enhancing strategic planning and foresight for businesses.