The average monthly foot traffic per venue for Dallas in the last 12 months was 17,064, this is a 2.3% decreasefrom the previous 12 months. Though foot traffic in Dallas is decreasing overall, zip code 75141 hasseen a steady increase. New Hope, North Garland and Florence Hill neighborhoods experienced thehighest total foot traffic for Dallas. These 3 neighborhoods constitute over 11.7% of the total foot trafficexperienced from 09/01-2022-08/30/2023. Conversely, the Rener, The Cove, and West Endneighborhoods experienced the lowest total foot traffic for the same period of time.
Methodology – Dallas foot traffic data was pulled from the Foot Traffic Trend Value module on a monthlybasis. The metric Person Count was averaged by zip code by month and simple linear regression was appliedto generate trend lines for Foot Traffic. When visualizing the data, the total foot traffic by zip code was plottedon a map and colored by total foot traffic. To analyze specific points of interest, data is aggregated at theCensus Block Group geographic level. Additionally, Census Track level data can be used to investigate thesurrounding area to any point(s) of interest.
Dallas saw the highest average monthly foot traffic (18,696) May 2022 through December 2022 withJune 2023 having the lowest average foot traffic of 15,295 average visitors. July 2022 had the highestaverage foot traffic (20,442) for the total time frame analyzed (06/01/2021-08/30/2023). When consideringonly the past 12 months, the foot traffic pattern changes displaying greater seasonality. Further analysiswould provide insights into this change in visitor behavior.
Methodology - The metric Person Count was summed by zip code by month to generate Foot Traffic. Toanalyze change in foot traffic by quarter, Person Count was summed by zip code by quarter and the percentchange was calculated between quarters.
Utilizing the North American Industry Classification System (NAICS) codes available in the foot traffic trendvalue module, consumers can gain valuable insights on 109 unique industry sectors found in Dallas. Thetop industries include: Supermarkets, General Merchandise Stores, Hardware Stores, Clothing Stores,and Movie Theaters. While the industry specific foot traffic patterns generally mirror the overall foot trafficpattern of Dallas, there is a notable difference in the hardware store industry. While the foot traffic trend inDallas is decreasing, the hardware store industry is experiencing an increase in average monthly foottraffic. Additionally, there was a larger than expected increase in foot traffic in the hardware store industryin April 2023. Deeper analysis of foot traffic data for specific brands in the hardware store industry couldilluminate potential causes for this uptick.
Methodology – The NAICS codes were grouped to create broader Industry level classifications. The PersonCount metric was then averaged by industry by month to calculate foot traffic. The data was then visualized forindividual industries.
Foot Traffic data is available for 1,399 unique brands in Dallas allowing consumers to create detailed brandanalysis as well as head-to-head comparisons between two or more brands. The most highly trafficked brandsin Dallas include: Walmart, McDonald’s, Starbucks, Target, and Chick-fil-A.Taking a deeper dive into the foot traffic data available for the 39 Walmart locations in Dallas, we find that2.5% or 1 locations are experiencing an increase in foot traffic. For the time period 09/01/2022-08/30/2023, Seagoville has the highest average foot traffic pattern with 245,672 visits per month. TheLancaster area had the highest total foot traffic for Dallas Walmart locations with 3,811,467 visits. Thiscan be explained by the zip code 75146 being home to 2 Walmart locations in total. The total foot traffic atthe 1521 N Cockrell Hill Rd location is decreasing, it is the most visited Walmart boasting approximately6.51% of all Walmart foot traffic in Dallas. Conversely, the 108 W Parkerville Rd location accounts foronly 1.23% of the total Dallas Walmart foot traffic.
Methodology – The Dallas data was filtered to only consider the brand Walmart. The metric Person Countwas summed by zip code by month to calculate Foot Traffic. To analyze change in Foot Traffic by quarter,Person Count was summed by zip code by quarter and the percent change was calculated between quarters.For location level data, Person Count was summed by Street Address. Foot Traffic Percentage was calculatedby taking the sum of foot traffic for street address and dividing the resulting value by the total Foot Traffic forDallas in the selected date range.