{"id":2119392,"date":"2023-10-25T14:04:55","date_gmt":"2023-10-25T21:04:55","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2119392"},"modified":"2023-10-26T11:39:17","modified_gmt":"2023-10-26T18:39:17","slug":"empowering-retailers-explore-esris-new-retail-demand-data","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/esri-demographics\/analytics\/empowering-retailers-explore-esris-new-retail-demand-data","title":{"rendered":"Empowering Retailers: Explore Esri\u2019s New Retail Demand Data"},"author":347902,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341],"tags":[24571,760672,23551,31371],"industry":[],"product":[37011],"class_list":["post-2119392","blog","type-blog","status-publish","format-standard","hentry","category-analytics","tag-demographics","tag-industry","tag-location-analytics","tag-retail","product-esri-demographics"],"acf":{"authors":[{"ID":347902,"user_firstname":"Douglas","user_lastname":"Skuta","nickname":"DSkuta","user_nicename":"dskuta","display_name":"Douglas Skuta","user_email":"DSkuta@esri.com","user_url":"","user_registered":"2023-10-25 19:03:53","user_description":"Douglas manages Esri\u2019s Data Development team. This group is responsible for producing independent demographic and socioeconomic updates and forecasts for the United States. These data are leveraged across the Esri platform through web maps, infographics, data enrichment and custom applications including Business Analyst and the Living Atlas of the World. In addition to processing US Census and ACS data, this team produces unique and innovative databases such as Tapestry Segmentation, Consumer Spending and Market Potential which are now industry benchmarks.","user_avatar":"<img alt='' src='https:\/\/secure.gravatar.com\/avatar\/242a455274db5c04d6e299ce32eb52cc051fd6310773f4d2e139a3d4042afc15?s=96&#038;d=blank&#038;r=g' srcset='https:\/\/secure.gravatar.com\/avatar\/242a455274db5c04d6e299ce32eb52cc051fd6310773f4d2e139a3d4042afc15?s=192&#038;d=blank&#038;r=g 2x' class='avatar avatar-96 photo' height='96' width='96' loading='lazy' decoding='async'\/>"}],"short_description":"Learn about Esri's new retail demand dataset and how it can add insight into your work.","flexible_content":[{"acf_fc_layout":"content","content":"<p>For more than three decades, Esri\u2019s <em><a href=\"https:\/\/doc.arcgis.com\/en\/esri-demographics\/latest\/regional-data\/consumer-spending.htm\">Consumer Spending<\/a><\/em> product has offered household consumption insights across every neighborhood in the U.S. This covers spending potential on <span style=\"text-decoration: underline\"><em>what<\/em> <\/span>households are likely to spend their budget on over a broad range of more than 700 products and services. With the October 2023 release we introduce a new retail-focused database that reveals <em><span style=\"text-decoration: underline\">where<\/span> <\/em>potential spending is most likely to occur.<\/p>\n<p><strong>Esri\u2019s Retail Demand by Industry data<\/strong><br \/>\n<em>Retail Demand by Industry<\/em> is based on a subset of retail and related products captured in Esri\u2019s \u201cRetail Goods\u201d product summary variable (X15001) within the <em>Consumer Spending<\/em> database. Industry estimates are modeled using a product-to-industry crosswalk from the 2017 Economic Census Products by Industry tables based on the <a href=\"https:\/\/www.census.gov\/programs-surveys\/economic-census\/year\/2017\/economic-census-2017\/guidance\/understanding-napcs.html\">North American Product Classification System<\/a> published by the U.S. Census Bureau.<\/p>\n<p>Included in the new database are three sets of variables:<\/p>\n<ul>\n<li>annual total industry potential expenditures;<\/li>\n<li>annual average industry potential spending per household;<\/li>\n<li>industry-specific Spending Potential Index (SPI).<\/li>\n<\/ul>\n<p>These data measures use product and industry linkages from the Economic Census enabling a translation of spending potential estimates (by product) to 13 subsectors and 30 industry groups within <em>Retail Trade<\/em> and <em>Food Services &amp; Drinking Places<\/em>.<\/p>\n<p>You can leverage this data to distinguish which industries would be the direct beneficiaries of retail goods product spending.<\/p>\n<p>One of the ways to access the data is using the Business Analyst Web App\u2019s new <em>Retail Demand by Industry <\/em>report:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2120762,"id":2120762,"title":"retail_report_template2","filename":"retail_report_template2.png","filesize":263641,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail_report_template2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/esri-demographics\/analytics\/empowering-retailers-explore-esris-new-retail-demand-data\/retail_report_template2","alt":"","author":"347902","description":"","caption":"","name":"retail_report_template2","status":"inherit","uploaded_to":2119392,"date":"2023-10-25 21:34:39","modified":"2023-10-25 21:34:39","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":814,"height":853,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail_report_template2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail_report_template2.png","medium-width":249,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail_report_template2.png","medium_large-width":768,"medium_large-height":805,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail_report_template2.png","large-width":814,"large-height":853,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail_report_template2.png","1536x1536-width":814,"1536x1536-height":853,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail_report_template2.png","2048x2048-width":814,"2048x2048-height":853,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail_report_template2-444x465.png","card_image-width":444,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail_report_template2.png","wide_image-width":814,"wide_image-height":853}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Here\u2019s how to interpret the data&#8230;<\/p>\n<p>Starting from right to left, the <strong>Total<\/strong> column contains a total dollar estimate that represents the potential aggregate spending by all households within an industry.<\/p>\n<p>The <strong>Average Amount Spent<\/strong> is the dollar estimate of the potential average amount spent by all households within an industry.<\/p>\n<p>The <strong>SPI<\/strong>, or Spending Potential Index, compares the average potential spending locally within an industry to the average potential spending nationally in that same industry. An index of 100 reflects a U.S. average. For example, a SPI of 120 indicates that average potential spending by local consumers is 20 percent above the national average.<\/p>\n<p><strong>Can I use <em>Retail Demand<\/em> and <em>Consumer Spending<\/em> data together?<\/strong><br \/>\nAll modelling aspects and assumptions from <em>Consumer Spending<\/em> also apply to the new <em>Retail Demand by Industry<\/em> data and can be viewed as an extension and complement to Esri\u2019s suite of current year <em>Consumer Spending<\/em> estimates.<\/p>\n<p><strong>Understanding the What and Where of <em>Retail Demand<\/em> and <em>Consumer Spending<\/em><\/strong><br \/>\nLet\u2019s consider a clothing retailer exploring the York County, Pennsylvania trade area for future store expansion. We\u2019ll look at both <em>Retail Demand by Industry<\/em> and <em>Consumer Spending<\/em> data to break down the what and where of spending potential.<\/p>\n<p>The bar chart below isolates the York County report&#8217;s total spending by NAICS subsector, sorted by descending expenditures. A Total of $194 million is expected to be spent by consumers in <em>Clothing and Clothing Accessories Stores<\/em> in the area. From the report, the average amount spent within clothing stores is $1,069. Compared to the U.S., potential demand in this county is seven percent lower than the national average for this industry.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2123612,"id":2123612,"title":"Retail Demand by Industry - York PA BAR CHART2","filename":"Retail-Demand-by-Industry-York-PA-BAR-CHART2.png","filesize":82840,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/Retail-Demand-by-Industry-York-PA-BAR-CHART2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/esri-demographics\/analytics\/empowering-retailers-explore-esris-new-retail-demand-data\/retail-demand-by-industry-york-pa-bar-chart2","alt":"","author":"347902","description":"","caption":"","name":"retail-demand-by-industry-york-pa-bar-chart2","status":"inherit","uploaded_to":2119392,"date":"2023-10-26 18:07:50","modified":"2023-10-26 18:07:50","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":768,"height":737,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/Retail-Demand-by-Industry-York-PA-BAR-CHART2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/Retail-Demand-by-Industry-York-PA-BAR-CHART2.png","medium-width":272,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/Retail-Demand-by-Industry-York-PA-BAR-CHART2.png","medium_large-width":768,"medium_large-height":737,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/Retail-Demand-by-Industry-York-PA-BAR-CHART2.png","large-width":768,"large-height":737,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/Retail-Demand-by-Industry-York-PA-BAR-CHART2.png","1536x1536-width":768,"1536x1536-height":737,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/Retail-Demand-by-Industry-York-PA-BAR-CHART2.png","2048x2048-width":768,"2048x2048-height":737,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/Retail-Demand-by-Industry-York-PA-BAR-CHART2-485x465.png","card_image-width":485,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/Retail-Demand-by-Industry-York-PA-BAR-CHART2.png","wide_image-width":768,"wide_image-height":737}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Next, let\u2019s turn to the product expenditure estimates on the <em>Retail Goods and Services Expenditures<\/em> report from Esri\u2019s <em>Consumer Spending<\/em> database. This report highlights what kind of items in the <em>Apparel and Services<\/em> category households have the potential to spend on. For example, out of the more than $372 million dollars spent on items in the <em>Apparel and Service<\/em> category, the largest expected spending is on women\u2019s clothing ($127 million). Although women\u2019s spending exceeds men\u2019s apparel and services, that index is below the national average by six percent.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2120692,"id":2120692,"title":"retail goods template","filename":"retail-goods-template.jpg","filesize":58532,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail-goods-template.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/esri-demographics\/analytics\/empowering-retailers-explore-esris-new-retail-demand-data\/retail-goods-template","alt":"","author":"347902","description":"","caption":"","name":"retail-goods-template","status":"inherit","uploaded_to":2119392,"date":"2023-10-25 21:31:52","modified":"2023-10-25 21:31:52","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":739,"height":310,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail-goods-template-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail-goods-template.jpg","medium-width":464,"medium-height":195,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail-goods-template.jpg","medium_large-width":739,"medium_large-height":310,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail-goods-template.jpg","large-width":739,"large-height":310,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail-goods-template.jpg","1536x1536-width":739,"1536x1536-height":310,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail-goods-template.jpg","2048x2048-width":739,"2048x2048-height":310,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail-goods-template.jpg","card_image-width":739,"card_image-height":310,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/retail-goods-template.jpg","wide_image-width":739,"wide_image-height":310}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><strong>Is the <em>Retail Demand<\/em> comparable to <em>Retail MarketPlace<\/em>?<\/strong><br \/>\nFor those data users familiar with Esri\u2019s deprecated <em>Retail MarketPlace<\/em> (RMP), these new demand side estimates are not directly comparable. The RMP model was designed to measure the size of the retail sector with calibration to the Census Bureau\u2019s Monthly Retail Trade Survey (MRTS). The \u201cRetail Potential\u201d estimates in RMP underwent additional realignments to better reflect market scale. These new industry demand variables were developed using a different modelling framework. This means these spending totals may reflect a lower value than what was shown in the RMP database. Like Esri\u2019s <em>Consumer Spending<\/em>, these new industry demand estimates also represent a share of budget allocation.<\/p>\n<p><strong>Accessing the Data<\/strong><br \/>\nExplore all of Esri\u2019s demographic products and offerings, including the new <em>Retail Demand by Industry<\/em> database. U.S. data is available for all geographic levels and any user-defined polygons such as rings or drive times, and accessible across Esri&#8217;s suite of products. To purchase this data or other demographic products, contact our data sales team at 800-447-9778 or email your request to datasales@esri.com.<\/p>\n"}],"related_articles":"","card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/AdobeStock_323573433_rescaled.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/10\/AdobeStock_340996520_rescaled.jpg"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Empowering Retailers: Explore Esri\u2019s New Retail Demand Data<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/esri-demographics\/analytics\/empowering-retailers-explore-esris-new-retail-demand-data\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" 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