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Introduction

In a fast-evolving retail landscape, understanding store distribution and market presence is vital for stakeholders ranging from analysts to real estate planners. This report focuses on the Kohl’s Store Count USA 2025, delivering comprehensive insights into the retailer’s physical footprint, expansion trends, and strategic implications. As one of the largest department store chains in the United States, Kohl’s plays a significant role in shaping regional retail dynamics.

Founded in 1962, Kohl’s has grown into a household name known for its value-driven apparel, home goods, and beauty products. The company has traditionally targeted middle-income consumers, with a strong presence in suburban shopping centers and strip malls. Over the years, Kohl’s has adapted to shifting consumer behaviors, investing in omnichannel strategies while maintaining a large brick-and-mortar footprint.

This report provides an in-depth look at Kohl’s Store Count USA 2025, including historical data, growth trends, and regional distribution. We also evaluate how Kohl’s real estate strategy aligns with broader market dynamics and where potential expansion or consolidation might occur. The analysis uses publicly available data and verified sources to build an accurate picture of Kohl’s physical presence from 2020 to 2025.

Table 1: Total Kohl’s Stores in the U.S. (2020–2025)
Total-Number-of-Whataburger-Locations
Year Number of Stores
2020 1,162
2021 1,165
2022 1,162
2023 1,174
2024 1,177
2025 (est.) 1,175

The store count has remained relatively stable, with modest growth in select suburban regions. According to Kohl’s Location Data Insights, the company’s emphasis on optimizing existing locations over aggressive expansion reflects a cautious but steady approach to physical retail.

Table 2: Annual Net Store Changes
Total-Number-of-Whataburger-Locations
Year Openings Closures Net Change
2020 3 5 -2
2021 5 2 +3
2022 2 5 -3
2023 10 3 +7
2024 5 2 +3
2025 (est.) 7 (est.) 4 (est.) +3 (est.)

These figures highlight Kohl’s measured approach to expansion, focusing on select markets with strong demographic alignment and economic potential.

This analysis offers crucial value to Retail Chain Location Intelligence users, including retail analysts studying market trends, investors assessing real estate ROI, and planners determining where new shopping hubs may emerge. By interpreting store distribution data, stakeholders gain a clearer understanding of Kohl’s retail strategy and market resilience heading into 2025 and beyond.

Kohl’s Store Count USA 2025 – Overview

Kohl’s Store Count USA 2025 – Overview
Table 1: Total Kohl’s Stores in the U.S.
Total-Number-of-Whataburger-Locations
Year Total Stores
2020 1,162
2021 1,165
2022 1,162
2023 1,174
2024 1,177
2025 1,175

Analysis

Kohl’s store count has remained stable, with slight annual increases averaging 0.3%. This consistent presence indicates brand strength and cautious expansion. The data supports a focused Kohl’s Store Distribution Analysis, prioritizing efficiency over aggressive growth.

Table 2: Year-over-Year Net Store Change
Total-Number-of-Whataburger-Locations
Year Stores Opened Stores Closed Net Change
2020 3 5 -2
2021 5 2 +3
2022 2 5 -3
2023 10 3 +7
2024 5 2 +3
2025 7 (est.) 4 (est.) +3

Analysis

Growth has been gradual with a balanced approach to store openings and closures. This cautious scaling strategy reflects data-driven decisions using US Department Store Location Data to identify high-performance regions.

Table 3: Top 10 States by Kohl’s Store Count in 2025
Total-Number-of-Whataburger-Locations
Rank State Store Count
1 California 117
2 Texas 96
3 Illinois 85
4 Florida 80
5 Ohio 77
6 Pennsylvania 72
7 Wisconsin 69
8 Michigan 66
9 New York 63
10 Minnesota 59

Analysis

Kohl’s maintains its strongest presence in populous states with broad suburban reach. This Retail Network Mapping USA highlights strategic clustering in regions with dense mid-income populations and retail-friendly zoning.

Geographic Distribution and Trends

Understanding where Kohl’s operates across the United States provides deeper insights into its strategic retail footprint. By analyzing urban vs. suburban placement, high-density states, and emerging regions, we gain actionable knowledge through Real-Time Store Locator Data and historical distribution patterns.

Table 1: Top 5 States by Kohl’s Store Count
Total-Number-of-Whataburger-Locations
State 2020 2021 2022 2023 2024 2025
California 113 114 114 115 116 117
Texas 92 93 93 94 95 96
Illinois 83 83 83 84 84 85
Florida 78 78 79 79 80 80
Ohio 75 76 76 76 77 77

Analysis

These top-performing states have consistently led in store volume due to high population density and robust retail environments. Kohl’s Retail Coverage Analytics suggests these markets continue to deliver ROI, prompting incremental expansion each year.

Table 2: Urban vs. Suburban Store Distribution
Total-Number-of-Whataburger-Locations
Year Urban Locations Suburban Locations Suburban %
2020 355 807 69.4%
2021 360 805 69.1%
2022 358 804 69.2%
2023 365 809 68.9%
2024 367 810 68.8%
2025 370 810 68.6%

Analysis

Kohl’s clearly favors suburban markets, maintaining nearly 70% of its stores outside major urban cores. This suburban bias aligns with the brand’s middle-income family target demographic, as revealed by Brick-and-Mortar Retail Tracking trends.

Table 3: Emerging Markets
Total-Number-of-Whataburger-Locations
State 2020 2025 Growth %
Arizona 30 34 +13.3%
North Carolina 28 32 +14.3%
Georgia 31 35 +12.9%
Tennessee 25 29 +16.0%
Utah 18 22 +22.2%

Analysis

Southern and Western states are gaining traction as Retail Footprint Intelligence Services point to population growth and favorable business climates. These regions represent prime opportunities for Kohl’s to continue selective expansion with reduced competition.

Competitive Positioning

In the competitive landscape of U.S. department stores, Kohl’s continues to maintain a solid foothold, competing with legacy brands such as Macy’s and JCPenney. By comparing store counts and market presence, we can gauge strategic strengths and identify areas of opportunity using Retail Chain Location Intelligence.

Table 1: Total U.S. Store Count – Kohl’s vs. Competitors
Total-Number-of-Whataburger-Locations
Year Kohl’s Macy’s JCPenney
2020 1,162 546 689
2021 1,165 512 670
2022 1,162 510 650
2023 1,174 506 635
2024 1,177 500 620
2025 1,175 495 610

Analysis

As of Kohl’s Store Count USA 2025, Kohl’s outpaces both Macy’s and JCPenney in store volume. While its competitors have undergone consolidation and closures, Kohl’s has sustained slow, consistent growth, reflecting a steady retail strategy grounded in location-based optimization.

Table 2: Store Count Change
Total-Number-of-Whataburger-Locations
Brand 2020 2025 Net Change
Kohl’s 1,162 1,175 +18
Macy’s 546 495 -51
JCPenney 689 610 -79

Analysis

The data shows that Kohl’s Store Count USA 2025 reflects resilience and confidence in its physical footprint, especially as peers continue to scale back. Macy’s and JCPenney are retrenching into high-performance stores, whereas Kohl’s is maintaining wider coverage.

Table 3: U.S. Market Share by Store Count (%)
Total-Number-of-Whataburger-Locations
Brand Store Count Market Share %
Kohl’s 1,175 43.6%
Macy’s 495 18.3%
JCPenney 610 22.5%
Others 424 15.6%

Analysis

Kohl’s leads the market in store-based presence with a commanding 43.6% share. These insights from Kohl’s Location Data Insights highlight its strategic edge in mid-tier retail—offering accessibility across suburban and secondary metro markets.

By leveraging Retail Chain Location Intelligence, Kohl’s appears to be betting on strategic store geography rather than volume alone. Its ability to adapt and expand judiciously while competitors contract shows a location-first model still relevant in 2025.

Business Implications

The current landscape of department store retail is shifting rapidly under the pressure of digital disruption, changing demographics, and evolving consumer preferences. The Kohl’s Store Distribution Analysis offers deep insights into the brand's physical footprint, highlighting both saturation in established regions and promising expansion potential in underserved markets.

Table 1: Store Saturation in Top 5 States
Total-Number-of-Whataburger-Locations
State 2020 2021 2022 2023 2024 2025
California 113 114 114 115 116 117
Texas 92 93 93 94 95 96
Illinois 83 83 83 84 84 85
Florida 78 78 79 79 80 80
Ohio 75 76 76 76 77 77

Analysis

These figures suggest a plateau in several key markets, signaling US Department Store Location Data trends that indicate near-saturation. Expansion here would yield diminishing returns unless supported by redevelopment, experiential retail concepts, or omni-channel strategies.

Table 2: Emerging States with High Growth Potential
Total-Number-of-Whataburger-Locations
State 2020 2025 Growth %
Arizona 30 34 +13.3%
Utah 18 22 +22.2%
Tennessee 25 29 +16.0%
North Carolina 28 32 +14.3%
Nevada 15 18 +20.0%

Analysis

According to Retail Network Mapping USA, these states show the most promise for future investment. They combine economic growth, suburban sprawl, and limited competition—ideal conditions for new store development or franchise models.

Table 3: E-commerce Growth vs. Store Count
Total-Number-of-Whataburger-Locations
Year Online Sales ($B) Store Count
2020 3.9 1,162
2021 4.5 1,165
2022 5.0 1,162
2023 5.4 1,174
2024 5.7 1,177
2025 6.1 1,175

Analysis

Despite e-commerce’s steady rise, physical stores haven’t declined—suggesting they complement rather than compete. Real-Time Store Locator Data shows stores function as fulfillment hubs, enhancing local delivery and BOPIS (Buy Online, Pick-up In Store) operations.

Real Estate & Franchise Investment Implications

From a commercial property standpoint, Kohl’s Retail Coverage Analytics illustrates how the brand’s footprint favors strip malls and suburban lifestyle centers—often anchoring local economies. While traditional mall-based formats are in decline, Kohl’s has already shifted toward more accessible standalone formats, backed by Brick-and-Mortar Retail Tracking.

As regional markets continue to evolve, investors and developers should focus on second-tier cities and exurban zones where retail competition is lower. These areas benefit from shifting population trends and rising incomes—ideal for long-term partnerships with established brands like Kohl’s.

Strategic Takeaway

Through Retail Footprint Intelligence Services, stakeholders can identify not only where Kohl’s is strong but where the white spaces are. E-commerce is augmenting—not replacing—physical retail, and Kohl’s hybrid strategy positions it well for omnichannel dominance. New store formats, real estate diversification, and smart geo-targeting will define its next growth phase.

Ready to Turn Location Intelligence into Business Growth?

Actowiz Solutions empowers retailers, analysts, and investors with precise, up-to-date Kohl’s Store Distribution Analysis and comprehensive US Department Store Location Data. From competitive benchmarking to strategic expansion planning, our Retail Footprint Intelligence Services turn raw data into actionable insights.

Leverage our expertise in location data analytics to optimize your retail strategy today.

Get in touch with Actowiz Solutions for custom geo-analytics and real-time store tracking insights!

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                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.110
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

        )

    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.110
                    [prefix_len] => 22
                )

        )

)
 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

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From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

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Real results from real businesses using Actowiz Solutions

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'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
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★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
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Iulen Ibanez
CEO / Datacy.es
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1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
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1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & palniring

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price inights Top-slling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Relail Partner)

"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All
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Case Studies
Infographics
Report
Aug 08, 2025

Discounted Devotion? Janmashtami Offer Mapping Across Quick Commerce Platforms

Actowiz Solutions compares Janmashtami offers on puja items & sweets across quick commerce platforms with real-time scraping & price tracking insights.

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Track Janmashtami Quick Commerce Banner Leaders – Dairy, Mithai & Puja Brands Insights

Discover which dairy, mithai & puja brands led Janmashtami quick commerce banners with Actowiz Solutions’ visibility scores & festive promotions insights.

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🇮🇳 India: Independence Day Sale Price Mapping – Flipkart vs Amazon

Actowiz Solutions compares Flipkart & Amazon prices during India’s Independence Day Sale 2025. Discover top deals, price drops & brand discount trends.

Aug 08, 2025

Discounted Devotion? Janmashtami Offer Mapping Across Quick Commerce Platforms

Actowiz Solutions compares Janmashtami offers on puja items & sweets across quick commerce platforms with real-time scraping & price tracking insights.

Aug 08, 2025

Grocery Discount Trends from Toters, JOKR, and Getir – Regional Analysis

Explore Toters, JOKR & Getir grocery discounts across regions—data insights, trends, and strategic analysis by Actowiz Solutions.

Aug 07, 2025

How to Track Weekly Flipkart Electronics Prices for Smarter Pricing Decisions & Competitive Edge?

Track weekly Flipkart electronics prices to stay competitive, adjust pricing smartly, and make data-driven decisions that boost visibility and conversions.

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Track Janmashtami Quick Commerce Banner Leaders – Dairy, Mithai & Puja Brands Insights

Discover which dairy, mithai & puja brands led Janmashtami quick commerce banners with Actowiz Solutions’ visibility scores & festive promotions insights.

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Price Tracking of Rakhi Gift Hampers – Did Discounts Really Deliver Value?

Discover how Actowiz Solutions scraped Rakhi gift hamper prices from Q-commerce platforms to reveal real festive discount insights with real-time pricing data.

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Real-Time Ride Fare Comparison: Uber vs DiDi vs Bolt Across 7 Countries

Compare Uber, DiDi & Bolt ride fares across 7 countries with real-time scraping insights. Discover surge patterns, price differences & platform efficiency globally.

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🇮🇳 India: Independence Day Sale Price Mapping – Flipkart vs Amazon

Actowiz Solutions compares Flipkart & Amazon prices during India’s Independence Day Sale 2025. Discover top deals, price drops & brand discount trends.

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Lazada Grocery App Dataset Analysis - Market Intelligence & Grocery Delivery Trends for American Startups

Explore Lazada grocery App dataset insights to uncover grocery delivery trends, pricing, and market gaps for American startups entering Southeast Asian markets.

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Raksha Bandhan & Independence Day 2025: How Holiday Travel Surges Impacted Flight and Hotel Pricing in India

Explore Actowiz Solutions' scraped data report on travel price surges in India during Raksha Bandhan & Independence Day 2025. Flight, hotel & booking insights inside.