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Download free →This research report examines the Number of Lidl Stores in the United States in 2026, based on store-location data recorded as of September 22, 2026. Lidl operates 202 stores across 11 states and territories, covering 169 cities. The analysis highlights the retailer's concentrated U.S. footprint, with New York leading at 40 stores, followed by Virginia with 38 and New Jersey with 27. The five largest markets—New York, Virginia, New Jersey, North Carolina, and Maryland—collectively account for 153 stores, or approximately 75.7% of the reported network. The report also examines population-per-store ratios, city-level concentrations, regional distribution, and states without reported Lidl locations. Detailed location records containing store names, addresses, ZIP codes, latitude, longitude, and update dates provide additional geographic intelligence. These findings can help retailers, analysts, and market researchers understand Lidl's current market coverage, identify geographic clusters, evaluate competitive landscapes, and monitor grocery retail expansion patterns across the United States.
1. 202 Lidl Stores: Lidl operates 202 reported stores across the United States as of September 22, 2026.
2. New York Leads: New York has the highest number of Lidl stores, with 40 locations representing approximately 20% of the U.S. network.
3. Five-Market Concentration: New York, Virginia, New Jersey, North Carolina, and Maryland collectively account for 153 stores, or about 75.7% of the network.
4. 169 Cities Covered: Lidl's reported locations are distributed across 169 U.S. cities, with Brooklyn leading at five stores.
5. Limited Geographic Reach: Lidl stores are reported across 11 states and territories, while 46 states and territories have no reported locations.
Lidl's U.S. retail network reached 202 stores across 11 states and territories as of September 22, 2026, reflecting a concentrated geographic strategy rather than nationwide store coverage. With 169 cities represented, the supermarket chain has developed clusters across the Northeast, Mid-Atlantic, and Southeast regions.
The Number Of Lidl Stores In USA Data Scraping process provides businesses with structured information about individual stores, including names, addresses, cities, ZIP codes, geographic coordinates, and update dates. Companies can Scrape Lidl Store Location Data In USA to evaluate geographic expansion, identify competitive markets, support territory planning, and develop location-based retail intelligence.
Through Lidl Store Count Data Extraction, analysts can transform store-level records into measurable insights covering state distribution, city concentration, population coverage, and market density. The Number of Lidl locations in the USA in 2026 provides a useful benchmark for understanding Lidl's current physical retail presence and its concentration within selected regional markets.
The reported 202 Lidl locations are distributed across a relatively small geographic portion of the United States. New York has the largest number of stores with 40 locations, followed closely by Virginia with 38.
New Jersey, North Carolina, and Maryland also contribute substantial numbers of stores. Together, these five markets contain 153 locations, representing approximately 75.7% of the total reported U.S. network.
This concentration makes Lidl's store footprint particularly relevant for regional competitive analysis. Instead of treating the United States as a single retail market, analysts can examine individual states, metropolitan areas, cities, and ZIP-code clusters.
| Metric | 2026 Figure | Share / Relationship | Analytical Meaning |
|---|---|---|---|
| Total Lidl stores | 202 | 100% | Reported U.S. network |
| States and territories with stores | 11 | — | Active geographic markets |
| Cities with stores | 169 | — | City-level coverage |
| Largest state | New York | 40 stores | 19.8% of network |
| Second-largest state | Virginia | 38 stores | 18.8% of network |
| Third-largest state | New Jersey | 27 stores | 13.4% of network |
| Top five markets | 153 stores | 75.7% | Highly concentrated network |
| Largest city | Brooklyn | 5 stores | Highest city-level count |
| States/territories without stores | 46 | — | Significant geographic whitespace |
New York leads the reported Lidl network with 40 stores. These locations account for approximately one-fifth of all Lidl stores in the United States. Lidl US Market Data Intelligence helps businesses examine this concentration by connecting store counts with population, cities, geographic coverage, and competitive market conditions.
The state's 20 million population and extensive urban and suburban geography provide a large potential customer base. Brooklyn is particularly notable, with five Lidl locations, making it the city with the highest number of stores in the supplied dataset. Grocery Retail Location Data Scraping can capture such store-level details to support geographic analysis, market mapping, and retail expansion research.
New York's position demonstrates the importance of analyzing store distribution beyond total national counts. A national figure of 202 stores provides scale, but state and city-level data reveal where Lidl's physical presence is actually concentrated.
Virginia ranks second with 38 Lidl stores. Despite having fewer stores than New York, Virginia has a substantially smaller population, resulting in approximately one Lidl store for every 233,684 people.
Virginia Beach has four reported Lidl locations, while Woodbridge has two. Other locations across the state contribute to a broad network covering multiple urban and suburban communities.
This distribution illustrates why population-per-store measurements can complement simple store counts. A state with fewer total stores may still demonstrate substantial market coverage relative to its population.
New Jersey records 27 Lidl stores, equivalent to approximately 13% of the U.S. network. Its proximity to New York creates an important regional cluster within Lidl's northeastern footprint.
North Carolina follows with 26 stores. Charlotte has four locations, while Raleigh and Greensboro each have two in the supplied city-level dataset.
These markets illustrate Lidl's presence across both densely populated northeastern communities and growing southeastern metropolitan areas.
Maryland accounts for 22 reported Lidl locations, representing approximately 11% of the U.S. network.
Its geographic position between major northeastern and southern markets gives it importance within Lidl's broader Mid-Atlantic footprint. When Maryland is analyzed alongside Virginia, Delaware, Pennsylvania, New Jersey, and Washington, D.C., the data reveals a substantial concentration around the broader Mid-Atlantic region.
Georgia has 19 Lidl stores, making it the sixth-largest market in the supplied ranking. Atlanta has two reported locations, while Marietta has three.
The state's 11.30 million population means there is approximately one Lidl store for every 594,890 people based on the supplied figures. This provides a useful comparison with smaller but more densely served markets such as Virginia and the District of Columbia.
The following table provides a detailed comparison of Lidl's reported store footprint across the top markets.
| Rank | State / Territory | Stores | Network Share | Population | Population per Store | Stores per Million People | Cumulative Stores |
|---|---|---|---|---|---|---|---|
| 1 | New York | 40 | 20% | 20.00M | 500.05K | 2.00 | 40 |
| 2 | Virginia | 38 | 19% | 8.88M | 233.68K | 4.28 | 78 |
| 3 | New Jersey | 27 | 13% | 9.55M | 353.63K | 2.83 | 105 |
| 4 | North Carolina | 26 | 13% | 11.20M | 430.69K | 2.32 | 131 |
| 5 | Maryland | 22 | 11% | 6.26M | 284.77K | 3.51 | 153 |
| 6 | Georgia | 19 | 9% | 11.30M | 594.89K | 1.68 | 172 |
| 7 | Pennsylvania | 13 | 6% | 13.06M | 1.00M | 1.00 | 185 |
| 8 | South Carolina | 11 | 5% | 5.57M | 506.36K | 1.98 | 196 |
| 9 | Delaware | 3 | 1% | 1.06M | 353.33K | 2.83 | 199 |
| 10 | District of Columbia | 3 | 1% | 694K | 231.33K | 4.32 | 202 |
One of the most important findings from the dataset is the degree of geographic concentration. The top five markets account for more than three-quarters of the reported store network. Lidl Grocery Delivery Scraping API solutions can complement physical store data by providing structured insights into online grocery availability, product information, pricing, and delivery coverage.
This creates a clear distinction between Lidl's store presence and national market availability. Although Lidl is a recognizable supermarket brand in the United States, its physical locations are not evenly distributed nationwide. Scrape Online Lidl Grocery Delivery App Data to further support analysis of Lidl's digital grocery presence, helping businesses compare online availability with the distribution of physical stores across different markets.
The following regional view helps illustrate this concentration.
| Region / Cluster | Included Markets | Stores | Share of Network | Primary Role |
|---|---|---|---|---|
| Northeast | New York, New Jersey | 67 | 33.2% | Major northern cluster |
| Mid-Atlantic | Virginia, Maryland, Delaware, D.C., Pennsylvania | 79 | 39.1% | Largest combined regional concentration |
| Southeast | North Carolina, Georgia, South Carolina | 56 | 27.7% | Major southern cluster |
| Total | 11 reported markets | 202 | 100% | Complete reported footprint |
The regional calculation demonstrates that the reported Lidl network is concentrated primarily across three interconnected areas: the Northeast, Mid-Atlantic, and Southeast.
City-level data provides another layer of insight into Lidl's market strategy. Brooklyn leads with five stores, while Virginia Beach and Charlotte each have four.
Washington, D.C., Marietta, and New York each have three reported locations. Several other cities, including Raleigh, Atlanta, Woodbridge, and Greensboro, have two stores.
| Rank | City | State / Territory | Stores | Percentage of U.S. Network | Relative Position |
|---|---|---|---|---|---|
| 1 | Brooklyn | New York | 5 | 2.48% | Highest city count |
| 2 | Virginia Beach | Virginia | 4 | 1.98% | Major concentration |
| 3 | Charlotte | North Carolina | 4 | 1.98% | Major concentration |
| 4 | Washington | District of Columbia | 3 | 1.49% | Urban market |
| 5 | Marietta | Georgia | 3 | 1.49% | Metro-area market |
| 6 | New York | New York | 3 | 1.49% | Urban market |
| 7 | Raleigh | North Carolina | 2 | 0.99% | Growing metro |
| 8 | Atlanta | Georgia | 2 | 0.99% | Major metro |
| 9 | Woodbridge | Virginia | 2 | 0.99% | Suburban market |
| 10 | Greensboro | North Carolina | 2 | 0.99% | Regional market |
The data reveals several important characteristics of Lidl's U.S. physical network.
Concentration Over Nationwide Coverage: The retailer's 202 stores are concentrated in only 11 states and territories. This creates substantial geographic gaps between served and unserved markets.
Strong East Coast Presence: All reported markets fall within the eastern half of the United States. The Northeast, Mid-Atlantic, and Southeast form the principal geographic zones represented in the dataset.
High-Density Local Markets: Some markets have significantly more stores relative to population. Virginia and the District of Columbia, for example, have lower population-per-store figures than several other markets.
Significant Expansion Whitespace: The supplied dataset identifies 46 states and territories without Lidl stores. These include California, Texas, Florida, Illinois, Ohio, Michigan, Massachusetts, Tennessee, Colorado, Washington, Oregon, and Arizona.
The absence of stores should be interpreted as a description of the September 22, 2026 dataset rather than a prediction about future expansion.
Grocery Data Scraping in the USA identifies no Lidl locations in the following 46 states and territories:
California, Indiana, New Mexico, Montana, U.S. Virgin Islands, Northern Mariana Islands, North Dakota, Connecticut, Minnesota, Idaho, New Hampshire, Puerto Rico, Hawaii, Missouri, Alaska, Texas, Massachusetts, Kentucky, South Dakota, Tennessee, Nevada, Ohio, Arkansas, Vermont, Alabama, Nebraska, Michigan, Utah, Louisiana, Iowa, Illinois, Mississippi, Florida, Colorado, West Virginia, Oklahoma, Wyoming, American Samoa, Washington, Oregon, Guam, Wisconsin, Arizona, Kansas, Maine, and Rhode Island.
This geographic whitespace can be particularly valuable for analysts studying supermarket expansion, competitive intensity, and potential market opportunities.
A modern retail intelligence dataset needs more than the number of stores. Individual records can contain a store's name, street address, city, state, ZIP code, latitude, longitude, country, and last update date.
For example, the supplied records include Lidl locations in Richmond, Woodbridge, Norfolk, Washington, Dover, Newark, Middletown, and Chesapeake.
| Store Name | City | State | ZIP | Latitude | Longitude | Full Address Available | Update Date |
|---|---|---|---|---|---|---|---|
| Richmond Va - S Laburnum | Richmond | VA | 23231 | 37.5157 | -77.35020 | Yes | 2026-09-22 |
| Woodbridge Va - Smoketown Station | Woodbridge | VA | 22192 | 38.6527 | -77.29998 | Yes | 2026-09-22 |
| Norfolk Va - N Military Hwy | Norfolk | VA | 23518 | 36.90010 | -76.22663 | Yes | 2026-09-22 |
| Washington DC - Skyland | Washington | DC | 20020 | 38.86136 | -76.96749 | Yes | 2026-09-22 |
| Washington DC - Wisconsin Ave Nw | Washington | DC | 20016 | 38.94206 | -77.07720 | Yes | 2026-09-22 |
| Washington DC - 14th St Nw | Washington | DC | 20010 | 38.92931 | -77.03299 | Yes | 2026-09-22 |
| Dover De - Dupont | Dover | DE | 19901 | 39.16721 | -75.51692 | Yes | 2026-09-22 |
| Newark De - Bear | Newark | DE | 19702 | 39.62001 | -75.69081 | Yes | 2026-09-22 |
| Middletown De-Auto Park Dr | Middletown | DE | 19709 | 39.44596 | -75.73051 | Yes | 2026-09-22 |
| Chesapeake Va-Portsmouth Blvd | Chesapeake | VA | 23321 | 36.82390 | -76.40843 | Yes | 2026-09-22 |
Location intelligence can connect supermarket stores with demographics, competitors, transportation infrastructure, commercial properties, and consumer demand.
For example, analysts can use geographic coordinates to calculate distances between Lidl stores and competing supermarkets. ZIP-code information can support demographic segmentation, while city and state fields can help compare market penetration.
Retail businesses can also combine physical store information with online grocery observations. This enables a broader analysis of how physical retail networks interact with digital shopping channels.
Lidl's retail footprint can be analyzed alongside online grocery availability, product assortment, pricing, promotions, and delivery information.
A unified data strategy can help businesses examine questions such as:
These questions turn a simple location database into a broader competitive intelligence resource.
Businesses can apply structured Lidl location data across several retail functions.
Competitive Benchmarking: Store counts can be compared against supermarket competitors by state, city, ZIP code, and metropolitan area.
Territory Planning: Geocoded store records can help identify existing coverage and potential gaps in geographic markets.
Market Research: Analysts can combine store locations with population, income, housing, mobility, and competitor information.
Site Selection: Location intelligence can support the evaluation of areas based on proximity to existing stores and competing grocery outlets.
Retail Mapping: Latitude and longitude information enables the creation of interactive geographic maps showing store density and market clusters.
Expansion Monitoring: Regularly refreshed datasets can identify changes in store counts, new locations, closures, and geographic shifts over time.
The September 22, 2026 dataset presents Lidl as a regionally concentrated U.S. supermarket network with 202 stores across 11 states and territories and 169 cities. New York leads with 40 stores, followed by Virginia with 38, while the five largest state markets collectively account for more than three-quarters of the reported network.
For businesses analyzing grocery competition, Grocery Data Scraping Services can transform store-level information into structured datasets suitable for market analysis, competitor monitoring, geographic benchmarking, and retail planning.
The combination of physical location records with online product, pricing, and delivery information can create a broader retail intelligence framework. AI Grocery Intelligence Services can help organize and analyze multiple grocery data streams, enabling businesses to identify geographic patterns, compare markets, and monitor changes in retail environments.
For companies requiring organized location databases, Supermarket Store Locator DB Services can support geocoded store records, mapping applications, proximity analysis, territory planning, and competitive research. As grocery retail continues to evolve, regularly updated location intelligence provides an effective foundation for understanding where supermarket brands operate and how their physical footprints are distributed across markets.
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