Retail Leakage and Surplus Analysis

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The Retail Leakage and Surplus Analysis examines the quantitative aspect of the community's retail opportunities. It is a guide to understanding retail opportunities but it is not an analysis that indicates unconditional opportunities. The analysis is sometimes called "a gap analysis" or "a supply and demand analysis" and can aid in the following: - Indicating how well the retail needs of local residents are being met - Uncovering unmet demand and possible opportunities - Understanding the strengths and weaknesses of the local retail sector - Measuring the difference between estimated and potential retail sales Understanding Retail Leakage Retail leakage means that residents are spending more for products than local businesses capture. Retail sales leakage suggests that there is unmet demand in the trade area and that the community can support additional store space for that type of business. However, retail leakage does not necessarily translate into opportunity. For example, there could be a strong competitor in a neighboring community that dominates the market for that type of product or store. Understanding Retail Surplus A retail surplus means that the community's trade area is capturing the local market plus attracting non-local shoppers. A retail surplus does not necessarily mean that the community cannot support additional business. Many communities have developed strong clusters of stores that have broad geographic appeal. Examples of these types of retailers include: sporting goods stores, home furnishing stores, restaurants, and other specialty operations that become destination retailers and draw customers from outside the trade area. Examining the quantitative aspects (Leakage/Surplus) is only part of the evaluation of community's retail opportunities. Before any conclusions can be drawn about potential business expansion or recruitment opportunities, qualitative considerations such as trade area psychographics and buying habits must be analyzed in context of other market factors. Interpreting Leakage Index 1.0 = equilibrium, meaning that demand and sales in the area being analyzed are in balance..80 = demand exceeds sales by 20%, meaning that consumers are leaving the area being analyzed. 1.2 = sales exceed demand by 20%, meaning that consumers are coming from outside the area being analyzed.

Leakage/Surplus Index by Major Store Type The quantitative comparison of retail leakage and surplus in the twelve major store types shown in the chart and table below provides an initial measure of market opportunities. Combining this analysis with the knowledge of the local retail situation will take the process of identifying retail possibilities one step further. Figure 1 provides the leakage/surplus indices and following is the sales potential and estimated sales for major store types. Figure 1. Leakage/Surplus Index and Estimated and Potential Sales by Major Store Types Motor Vehicle Parts & Dealers 196,754,761 264,573,021 1.3 Furniture & Home Furnishing Stores 22,391,190 22,035,633 1.0 Electronics & Appliance Stores 21,566,039 28,321,080 1.3 Building Material & Garden Equipment & Supply Dealers 53,117,014 90,182,011 1.7 Food & Beverage Stores 119,434,674 237,017,821 2.0 Health & Personal Care Stores 59,014,460 34,741,749 0.6 Clothing & Clothing Accessories Stores 38,847,424 39,624,939 1.0 Sporting Goods, Hobby, Book, & Music Stores 17,525,628 45,296,134 2.6 General Merchandise Stores 123,001,138 267,441,432 2.2 Miscellaneous Store Retailers 25,747,282 28,392,006 1.1 Foodservice & Drinking Places 99,555,061 251,585,293 2.5 Total 776,954,671 1,309,211,119 1.7

Sub-Categories of Motor Vehicle Parts & Dealers Automotive Dealers 166,857,515 235,176,636 1.4 Other Motor Vehicle Dealers 11,690,422 5,854,318 0.5 Automotive Parts, Accessories, & Tire Stores 18,206,824 23,542,067 1.3 Total Motor Vehicle Parts & Dealers 196,754,761 264,573,021 1.3

Sub-Categories of Furniture & Home Furnishing Stores Furniture Stores 13,525,118 9,443,857 0.7 Home Furnishing Stores 8,866,072 12,591,776 1.4 Total Furniture & Home Furnishing Stores 22,391,190 22,035,633 1.0

Sub-Categories of Electronics & Appliance Stores Household appliance stores 4,128,053 3,928,759 1.0 Electronics Stores 17,437,986 24,392,321 1.4 Total Electronics & Appliance Stores 21,566,039 28,321,080 1.3

Sub-Categories of Building Material & Garden Equipment & Supply Dealers Home Centers 26,537,914 49,128,075 1.9 Paint and Wallpaper Stores 1,345,379 2,754,027 2.0 Hardware Stores 4,160,282 14,647,516 3.5 Other Building Material Dealers 13,156,208 20,174,642 1.5 Outdoor Power Equipment Stores 1,085,434 841,784 0.8 Nursery, garden center, & farm supply stores 6,831,797 2,635,967 0.4 Total Building Material & Garden Equipment & Supply Dealers 53,117,014 90,182,011 1.7

Sub-Categories of Food & Beverage Stores Supermarkets and Other Grocery (except Convenience) Stores 101,468,395 231,180,456 2.3 Convenience Stores 4,152,439 2,481,057 0.6 Specialty Food Stores 4,037,820 1,434,067 0.4 Beer, Wine, & Liquor Stores 9,776,020 1,922,241 0.2 Total Food & Beverage Stores 119,434,674 237,017,821 2.0

Sub-Categories of Health & Personal Care Stores Pharmacies and Drug Stores 49,245,661 16,407,957 0.3 Cosmetics, Beauty Supplies and Perfume Stores 3,617,823 4,669,396 1.3 Optical Goods Stores 2,181,671 6,031,366 2.8 Other Health and Personal Care Stores 3,969,305 7,633,030 1.9 Total Health & Personal Care Stores 59,014,460 34,741,749 0.6

Sub-Categories of Clothing & Clothing Accessories Stores Mens Clothing Stores 1,531,197 642,445 0.4 Womens Clothing Stores 6,710,494 8,321,064 1.2 Childrens and Infants Clothing Stores 1,775,103 1,212,365 0.7 Family Clothing Stores 15,928,904 13,165,723 0.8 Clothing Accessories Stores 1,366,764 1,712,822 1.3 Other Clothing Stores 2,082,196 1,320,070 0.6 Shoe Stores 5,737,958 8,858,068 1.5 Jewelry Stores 3,193,349 3,995,577 1.3 Luggage & Leather Goods Stores 521,459 396,805 0.8 Total Clothing & Clothing Accessories Stores 38,847,424 39,624,939 1.0

Sub-Categories of Sporting Goods, Hobby, Book, & Music Stores Sporting Goods Stores 9,787,899 27,358,081 2.8 Hobby, Toy, and Game Stores 3,532,082 2,481,422 0.7 Sewing, Needlework, and Piece Goods Stores 587,943 1,960,403 3.3 Musical Instrument and Supplies Stores 803,011 1,715,105 2.1 Book Stores 2,164,699 11,390,104 5.3 News Dealers and Newsstands 649,994 391,019 0.6 Total Sporting Goods, Hobby, Book, & Music Stores 17,525,628 45,296,134 2.6

Sub-Categories of General Merchandise Stores Department Stores 29,887,431 90,863,018 3.0 Warehouse Clubs & Superstores 80,125,439 157,253,891 2.0 All Other General Merchandise Stores 12,988,268 19,324,523 1.5 Total General Merchandise Stores 123,001,138 267,441,432 2.2

Sub-Categories of Miscellaneous Store Retailers Florists 948,971 766,702 0.8 Office Supplies and Stationery Stores 2,935,644 3,239,117 1.1 Gift, Novelty, and Souvenir Stores 3,395,991 3,425,666 1.0 Used Merchandise Stores 3,308,406 4,316,518 1.3 Other Miscellaneous Store Retailers 15,158,270 16,644,003 1.1 Total Miscellaneous Store Retailers 25,747,282 28,392,006 1.1

Sub-Categories of Foodservice & Drinking Places Special Food Services 8,058,386 11,876,843 1.5 Drinking Places (Alcoholic Beverages) 4,372,510 27,416,018 6.3 Restaurants and Other Eating Places 87,124,165 212,292,432 2.4 Total Foodservice & Drinking Places 99,555,061 251,585,293 2.5

Sources and Methodology The primary data sources used in the construction of the database include: - Current Year CAPE (Census Area Projections & Estimates) Consumer Expenditure Estimates - Census of Retail Trade, Merchandise Line Sales - Census Bureau Monthly Retail Trade The Census of Retail Trade presents a table known as the Merchandise Line summary, which relates approximately 120 merchandise lines (e.g. hardware) to each of the store types. For each merchandise line, the distribution of sales by store type can be computed, yielding a conversion table which apportions merchandise line sales by store type. The CAPE (Census Area Projections & Estimates) Consumer Expenditure database was re-computed to these merchandise lines by aggregating both whole and partial categories, yielding, at the block group level, a series of merchandise line estimates which are consistent with the CAPE Consumer Expenditure database. These two components were then combined in order to derive estimated potential by store type. The results were then compared to current retail trade statistics to ensure consistency and completeness.