To create this layer, OCTO staff used ABCA's definition of “Full-Service Grocery Stores” (https://abca.dc.gov/page/full-service-grocery-store#gsc.tab=0)– pulled from the Food System Assessment below), and using those criteria, determined locations that fulfilled the categories in section 1 of the definition.Then, staff reviewed the Office of Planning’s Food System Assessment (https://dcfoodpolicycouncilorg.files.wordpress.com/2019/06/2018-food-system-assessment-final-6.13.pdf) list in Appendix D, comparing that to the created from the ABCA definition, which led to the addition of a additional examples that meet, or come very close to, the full-service grocery store criteria. The explanation from Office of Planning regarding how the agency created their list:“To determine the number of grocery stores in the District, we analyzed existing business licenses in the Department of Consumer and Regulatory Affairs (2018) Business License Verification system (located at https://eservices.dcra.dc.gov/BBLV/Default.aspx). To distinguish grocery stores from convenience stores, we applied the Alcohol Beverage and Cannabis Administration’s (ABCA) definition of a full-service grocery store. This definition requires a store to be licensed as a grocery store, sell at least six different food categories, dedicate either 50% of the store’s total square feet or 6,000 square feet to selling food, and dedicate at least 5% of the selling area to each food category. This definition can be found at https://abca.dc.gov/page/full-service-grocery-store#gsc.tab=0. To distinguish small grocery stores from large grocery stores, we categorized large grocery stores as those 10,000 square feet or more. This analysis was conducted using data from the WDCEP’s Retail and Restaurants webpage (located at https://wdcep.com/dc-industries/retail/) and using ARCGIS Spatial Analysis tools when existing data was not available. Our final numbers differ slightly from existing reports like the DC Hunger Solutions’ Closing the Grocery Store Gap and WDCEP’s Grocery Store Opportunities Map; this difference likely comes from differences in our methodology and our exclusion of stores that have closed.”Staff also conducted a visual analysis of locations and relied on personal experience of visits to locations to determine whether they should be included in the list.

This is a collection of maps, layers, apps and dashboards that show population access to essential retail locations, such as grocery stores. Data sourcesPopulation data is from the 2010 U.S. Census blocks. Each census block has a count of stores within a 10 minute walk, and a count of stores within a ten minute drive. Census blocks known to be unpopulated are given a score of 0. The layer is available as a hosted feature layer.Grocery store locations are from SafeGraph, reflecting what was in the data as of October 2020. Access to the layer was obtained from the SafeGraph offering in ArcGIS Marketplace. For this project, ArcGIS StreetMap Premium was used for the street network in the origin-destination analysis work, because it already has the necessary attributes on each street segment to identify which streets are considered walkable, and supports a wide variety of driving parameters.The walkable access layer and drivable access layers are rasters, whose colors were chosen to allow the drivable access layer to serve as backdrop to the walkable access layer. Alternative versions of these layers are available. These pairs use different colors but are otherwise identical in content.Data PreparationArcGIS Network Analyst was used to set up a network street layer for analysis. ArcGIS StreetMap Premium was installed to a local hard drive and selected in the Origin-Destination workflow as the network data source. This allows the origins (Census block centroids) and destinations (SafeGraph grocery stores) to be connected to that network, to allow origin-destination analysis.The Census blocks layer contains the centroid of each Census block. The data allows a simple popup to be created. This layer's block figures can be summarized further, to tract, county and state levels.The SafeGraph grocery store locations were created by querying the SafeGraph source layer based on primary NAICS code. After connecting to the layer in ArcGIS Pro, a definition query was set to only show records with NAICS code 445110 as an initial screening. The layer was exported to a local disk drive for further definition query refinement, to eliminate any records that were obviously not grocery stores. The final layer used in the analysis had approximately 53,600 records. In this map, this layer is included as a vector tile layer.MethodologyEvery census block in the U.S. was assigned two access scores, whose numbers are simply how many grocery stores are within a 10 minute walk and a 10 minute drive of that census block. Every census block has a score of 0 (no stores), 1, 2 or more stores. The count of accessible stores was determined using Origin-Destination Analysis in ArcGIS Network Analyst, in ArcGIS Pro. A set of Tools in this ArcGIS Pro package allow a similar analysis to be conducted for any city or other area. The Tools step through the data prep and analysis steps. Download the Pro package, open it and substitute your own layers for Origins and Destinations. Parcel centroids are a suggested option for Origins, for example. Origin-Destination analysis was configured, using ArcGIS StreetMap Premium as the network data source. Census block centroids with population greater than zero were used as the Origins, and grocery store locations were used as the Destinations. A cutoff of 10 minutes was used with the Walk Time option. Only one restriction was applied to the street network: Walkable, which means Interstates and other non-walkable street segments were treated appropriately. You see the results in the map: wherever freeway overpasses and underpasses are present near a grocery store, the walkable area extends across/through that pass, but not along the freeway.A cutoff of 10 minutes was used with the Drive Time option. The default restrictions were applied to the street network, which means a typical vehicle's access to all types of roads was factored in.The results for each analysis were captured in the Lines layer, which shows which origins are within the cutoff of each destination over the street network, given the assumptions about that network (walking, or driving a vehicle).The Lines layer was then summarized by census block ID to capture the Maximum value of the Destination_Rank field. A census block within 10 minutes of 3 stores would have 3 records in the Lines layer, but only one value in the summarized table, with a MAX_Destination_Rank field value of 3. This is the number of stores accessible to that census block in the 10 minutes measured, for walking and driving. These data were joined to the block centroids layer and given unique names. At this point, all blocks with zero population or null values in the MAX_Destination_Rank fields were given a store count of 0, to help the next step.Walkable and Drivable areas are calculated into a raster layer, using Nearest Neighbor geoprocessing tool on the count of stores within a 10 minute walk, and a count of stores within a ten minute drive, respectively. This tool uses a 200 meter grid and interpolates the values between each census block. A census tracts layer containing all water polygons "erased" from the census tract boundaries was used as an environment setting, to help constrain interpolation into/across bodies of water. The same layer use used to "shoreline" the Nearest Neighbor results, to eliminate any interpolation into the ocean or Great Lakes. This helped but was not perfect.Notes and LimitationsThe map provides a baseline for discussing access to grocery stores in a city. It does not presume local population has the desire or means to walk or drive to obtain groceries. It does not take elevation gain or loss into account. It does not factor time of day nor weather, seasons, or other variables that affect a person's commute choices. Walking and driving are just two ways people get to a grocery store. Some people ride a bike, others take public transit, have groceries delivered, or rely on a friend with a vehicle. Thank you to Melinda Morang on the Network Analyst team for guidance and suggestions at key moments along the way; to Emily Meriam for reviewing the previous version of this map and creating new color palettes and marker symbols specific to this project. Additional ReadingThe methods by which access to food is measured and reported have improved in the past decade or so, as has the uses of such measurements. Some relevant papers and articles are provided below as a starting point.Measuring Food Insecurity Using the Food Abundance Index: Implications for Economic, Health and Social Well-BeingHow to Identify Food Deserts: Measuring Physical and Economic Access to Supermarkets in King County, WashingtonAccess to Affordable and Nutritious Food: Measuring and Understanding Food Deserts and Their ConsequencesDifferent Measures of Food Access Inform Different SolutionsThe time cost of access to food – Distance to the grocery store as measured in minutes

Graph and download economic data for Retail Sales: Supermarkets and Other Grocery (Except Convenience) Stores (MRTSMPCSM44511USN) from Feb 2001 to Apr 2025 about groceries, retail trade, sales, retail, and USA.

This dataset contains measures of the number and density of grocery stores – including supermarkets, specialty food stores, and warehouse clubs – per United States census tract from 2003 through 2017. These types of businesses represent places where neighborhood residents can obtain fresh and healthy foods.

This dataset contains measures of the number and density of grocery stores, supermarkets, food stores, fruit and vegetable stores, meat and fish markets, and warehouse clubs (such as Costco and Sams Club) selling food per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2021. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau). The four geographies include:● Census Tract 2010 ● Census Tract 2020● ZIP Code Tabulation Area (ZCTA) 2010 ● ZIP Code Tabulation Area (ZCTA) 2020Information about which dataset to use can be found in the Usage Notes section of this document.

A listing of all retail food stores which are licensed by the Department of Agriculture and Markets.

Comprehensive dataset of 532 Kosher grocery stores in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 13 American grocery stores in California, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Delta Food Outlets Study was an observational study designed to assess the nutritional environments of 5 towns located in the Lower Mississippi Delta region of Mississippi. It was an ancillary study to the Delta Healthy Sprouts Project and therefore included towns in which Delta Healthy Sprouts participants resided and that contained at least one convenience (corner) store, grocery store, or gas station. Data were collected via electronic surveys between March 2016 and September 2018 using the Nutrition Environment Measures Survey (NEMS) tools. Survey scores for the NEMS Corner Store, NEMS Grocery Store, and NEMS Restaurant were computed using modified scoring algorithms provided for these tools via SAS software programming. Because the towns were not randomly selected and the sample sizes are relatively small, the data may not be generalizable to all rural towns in the Lower Mississippi Delta region of Mississippi. Dataset one (NEMS-C) contains data collected with the NEMS Corner (convenience) Store tool. Dataset two (NEMS-G) contains data collected with the NEMS Grocery Store tool. Dataset three (NEMS-R) contains data collected with the NEMS Restaurant tool. Resources in this dataset:Resource Title: Delta Food Outlets Data Dictionary. File Name: DFO_DataDictionary_Public.csvResource Description: This file contains the data dictionary for all 3 datasets that are part of the Delta Food Outlets Study.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset One NEMS-C. File Name: NEMS-C Data.csvResource Description: This file contains data collected with the Nutrition Environment Measures Survey (NEMS) tool for convenience stores.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Two NEMS-G. File Name: NEMS-G Data.csvResource Description: This file contains data collected with the Nutrition Environment Measures Survey (NEMS) tool for grocery stores.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Three NEMS-R. File Name: NEMS-R Data.csvResource Description: This file contains data collected with the Nutrition Environment Measures Survey (NEMS) tool for restaurants.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel

United States - Retail Sales: Grocery Stores was 69314.00000 Mil. of $ in February of 2025, according to the United States Federal Reserve. Historically, United States - Retail Sales: Grocery Stores reached a record high of 78601.00000 in December of 2024 and a record low of 25748.00000 in February of 1993. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Retail Sales: Grocery Stores - last updated from the United States Federal Reserve on July of 2025.

United States Retail Sales: sa: FB: ow: Grocery Stores data was reported at 55.024 USD bn in Jun 2018. This records a decrease from the previous number of 55.142 USD bn for May 2018. United States Retail Sales: sa: FB: ow: Grocery Stores data is updated monthly, averaging 37.776 USD bn from Jan 1992 (Median) to Jun 2018, with 318 observations. The data reached an all-time high of 55.142 USD bn in May 2018 and a record low of 27.720 USD bn in Feb 1992. United States Retail Sales: sa: FB: ow: Grocery Stores data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H001: Retail Sales: By NAIC System.

In 2024, U.S. supermarket and other grocery store sales amounted to about ***** billion U.S. dollars. This is more than double the sales amounts that were generated back in 1992. Supermarkets and grocery stores in the U.S. WalMart stores dominated sales of the leading grocery retailers in 2023, generating close to *** billion U.S. dollars. Kroger and Ahold Delhaize each reached sales numbers of about *** and ** billion U.S. dollars, respectively, within the same period. In 2018, there were over 38,000 supermarket stores in the United States. Over ** percent of this total were supermarket chains. Supermarket formats In the United States, there are various types of supermarkets consumers can visit, such as natural/gourmet food supermarkets, warehouse grocery stores, and military commissaries. The most common type of supermarket in the country is one of the conventional kind. In 2018, there were just over ****** conventional supermarkets in the United States. The second most common type is the supercenter for groceries and mass merchandise, of which there were about ***** that year.

Comprehensive dataset of 451 American grocery stores in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Graph and download economic data for Advance Retail Sales: Grocery Stores (RSGCSN) from Jan 1992 to May 2025 about groceries, retail trade, sales, retail, and USA.

Bodegas & Grocery Stores Receiving Recognition from Borough President's Office

Each year, bodegas and grocery stores located in and around Action Center catchment areas participate in the Shop Healthy NYC program's Retail Challenge to increase (1) availability of healthier foods, such as low-sodium canned goods, healthier snacks and deli options; (2) promotion of healthier foods by posting Shop Healthy marketing materials for healthier foods and removing unhealthy advertising from the front door; and (3) visibility of healthier foods by placing them in more prominent locations, such as placing produce at the checkout counter or near the front entrance of the store, and water and other low-calorie drinks at eye-level. Stores that have implemented all of the program’s criteria at the conclusion of the Retail Challenge, and maintain them for at least one month, receive a recognition award from the Borough President's Office to acknowledge their efforts and dedication to make the healthy choice, the easier choice for their communities.

This is a manually compiled list of stores, which is based on data collected through implementation checklists; these are forms completed by Shop Healthy staff as part of store observations that track whether each criteria has been met. At this time, the program does not have processes in place to ensure that stores maintain the changes past one-month.

Comprehensive dataset of 128,525 Grocery stores in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

In 2025, the leading grocery stores in the United States held close to two thirds of the total industry market share. Walmart held the top position with **** percent, followed by Kroger at just under **** percent. Kroger Co. As one of the leading supermarket chains, Kroger has been become a favorite among consumers. Founded by Bernard Kroger in 1883, the company opened its first store in Cincinnati, Ohio and now operates more than ***** grocery retail stores in the United States. Grocery shopping behavior Among the diverse options for food acquisition, supermarkets and superstores are the preferred for consumers. Even though online grocery shopping is on the rise, it is still not up to par with warehouse clubs or discount stores. When it comes to frequency, grocery shopping trips have decreased since the early 2000s, perhaps to adapt to economic pressures like inflation, which has drastically changed the way consumers shop.

United States Retail Sales: FB: ow: Grocery Stores data was reported at 55.157 USD bn in Oct 2018. This records an increase from the previous number of 54.182 USD bn for Sep 2018. United States Retail Sales: FB: ow: Grocery Stores data is updated monthly, averaging 38.007 USD bn from Jan 1992 (Median) to Oct 2018, with 322 observations. The data reached an all-time high of 57.847 USD bn in Dec 2017 and a record low of 25.748 USD bn in Feb 1993. United States Retail Sales: FB: ow: Grocery Stores data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.H001: Retail Sales: By NAIC System.

Graph and download economic data for All Employees: Retail Trade: Grocery Stores in Indiana (SMU18000004244510001A) from 1990 to 2024 about groceries, IN, retail trade, sales, retail, employment, and USA.

Spatial Dataset used to display Grocery Stores in Mecklenburg County, North Carolina. This dataset includes attributes such as name of the store address, and square feet of retail space. The address locations are geocoded to the street address.