2.51 Acres. Colonial Boulevard

Transcription

1 2.51 Acres Colonial Boulevard The Weiner Companies. Inc Medical Lanes Suite B Fort Myers, Florida Voice: (239): Fax: (239): Ken@TheWeinerCompanies.com

2 2.51 acres on Colonial Blvd at Lennar Site Florida Cancer Office Traffic Counts: 60,073 1, 3 & 5 mile radius of 3821 Colonial Blvd. Office Church Business Employees Hotels Restuarants/Bars Residential Population Median Household Income Contact: Ken Weiner The Weiner Companies, Inc., - Licensed Real Estate Brokers 8260 College Parkway, Suite 203, Fort Myers, FL Voice: , Ext. 201, Webpage:

3 COLONIAL BOULEVARD 2.51 Acres Pertinent Data PROJECT: LOCATION: ACCESS: ZONING: IMPROVE- MENTS: The site consists of approximately 2.51 acres with some 320 feet of Colonial Boulevard frontage. On the north side of Colonial Boulevard approximately one mile east of Metro Parkway. Access is provided via Colonial Boulevard from the east and west bound lanes. A median cut is located directly in front of the property. Colonial Boulevard is a six lane divided highway. Colonial Boulevard provides access to Interstate 75 and extends from Fort Myers to Lehigh Acres. CG, Commercial uses within the City of Fort Myers zoning classification. The property is unimproved at the present time. The site is a part of the Winkler Avenue Sewer, Water and Drainage District. SOIL TYPE: POTENTIAL USES: Hallandale fine sand - nearly level poorly drained, shallow to moderately deep, sandy soils; some are sandy throughout and some have a loamy subsoil. The site can be used for the development of commercial, retail, offices, hotels, restaurants and related service uses.

4 Data use subject to license. DeLorme. DeLorme Street Atlas USA MN (5.3 W) TN DeLorme Street Atlas USA 2013 Scale 1 : 46,875 0 ¼ ½ ¾ 1 mi km 0 ½ 1 1½ 2 1" = 3,906.3 ft Data Zoom 12-1

5 Lennar Apartments Site Florida Cancer Specialists Proposed Apartments Proposed Apartments

6 Colonial Boulevard Legal Description & Survey

7 COLONIAL BOULEVARD 2.51 Acres Legal Description The east 300 feet of the south one-half (S 1/2), of the southwest one-quarter (SW 1/4), of the southwest one-quarter (SW 1/4), of Section 32, Township 44 South, Range 35 East, lying north of Colonial Boulevard, Lee County, Florida.

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9 Colonial Boulevard Traffic Counts

10 Leaflet Powered by Esri State of Florida, USDA FSA, DigitalGlobe, GeoEye, CNES/Airbus DS, FDOT

11 Print Map Page 1 of 2 4/8/2015 TCDS Locations Short Continuous WIM Located Short Located Continuous Located WIM

12 Colonial Boulevard Zoning

13 City of Fort Myers Zoning Map is for reference only and is NOT a survey. The City of Fort Myers makes no claims or guarantees about the accuracy of the information contained on this map. Tue Mar :07:24 AM.

14 Municode Page 1 of 2 3/5/ Districts Established. Zoning districts in the City are hereby established as follows: A. Base districts. NEW DISTRICT NAMES PREVIOUS DISTRICT NAMES Residential Residential RS-E Residential Single-Family - Estate AAA Single-Family Estate RS-5 Residential Single-Family - 5 AA Single-Family RS-6 Residential Single-Family - 6 A Single-Family RS-7 Residential Single-Family - 7 A-1 Single-Family RS-D Residential Single-Family - Duplex A- 1D Single-Family Duplex RM-12 Residential Multifamily - 12 A-2 Medium Density Multifamily RM-16 Residential Multifamily - 16 A-3 High Density Multifamily Commercial Commercial PO Professional Office PO Professional Office CG Commercial General B-1 General Commercial CI Commercial Intensive B-2 Intensive Commercial Industrial Industrial IL Industrial Light I-1 Light Industrial IH Industrial Heavy I-2 Heavy Industrial Open Space Open Space CON Conservation Lands CONConservation Lands REC Recreation REC Recreation B. Overlay districts. -WA -CA -MLK -EM -AH -CO -ESL -PW Winkler Avenue Cleveland Avenue Martin Luther King, Jr. Emergency Management Communications Airport Hazard Correctional Facilities Environmentally Sensitive Lands Potable Wellfields C. Planned districts. PUD MU MDP Planned Unit Development Mixed Use Master Development Plan

15 Municode Page 2 of 2 3/5/2013 D. E. Special development areas. Sun City (Pelican Preserve) Forum Downtown redevelopment area. U-GEN U-CTR U-CORE DIST CIVIC CIV-REC Urban General Urban Center Urban Core District Civic Civic-Recreation F. Neighborhood redevelopment district. NR-1 Neighborhood Redevelopment District (Ord. No. 3422, 4, ) Official Zoning Map. A. The Official Zoning Map shall be amended in accordance with , Land Development Code and Official Zoning Map Amendments. The designation, location, and boundaries of the zoning districts established by this Article are as shown and depicted on the Official Zoning Map adopted in the Comprehensive Plan and which are incorporated by reference as part of this Land Development Code. B. A working copy of the Official Zoning Map shall be maintained by the Community Development Department. This map shall be current and reflect the latest changes duly authorized by the Council and supportive data for these changes shall be readily available in the Community Development Department's files and in the City Clerk's Office. C. No changes of any nature shall be made on this working copy, except those changes as authorized by ordinance, and such changes shall be made by authorized persons only. (Ord. No. 3422, 4, )

16 Municode Page 1 of 6 3/5/ Commercial Districts. A. B. Intent statements. 1. Professional Office (PO). By virtue of the location as designated in the comprehensive plan, it is the express intent of the PO District to be as generous as possible in permitted uses while, at the same time, maintaining a clean attractive community, and to provide for certain professional office, multifamily and related uses contiguous to each other, adjoining businesses and/or residential areas, and located in close proximity to major arterial roadways. The professional office district is established in order to: a. Protect the present development pattern; b. Provide for the orderly development or redevelopment of such land according to its best usage by providing adequate minimum zoning standards for such usage. 2. Commercial General (CG). By virtue of its location as designated in the comprehensive plan, it is the express intent of the CG District to be as generous as possible in permitted uses while at the same time maintaining a clean and attractive community; therefore, the conduct of business and the display or storage of merchandise, wares or goods shall be wholly and completely within the enclosing walls of buildings. 3. Commercial Intensive (CI). By virtue of its location as designated in the comprehensive plan, it is the express intent of CI District to be as generous as possible in permitted uses while at the same time maintaining a clean and attractive community; therefore, with the exception of the display for rent or sale of new or used automobiles, trucks, tractors, mobile homes, boats and other similar and large products or merchandise, all products, merchandise, equipment or any other material stored outside of buildings, whether new or used, shall be hidden from view on all sides, except for necessary openings and gates, by a fence, wall or vegetative hedge, not less than six feet high, as approved by the development services manager. Permitted land uses. Permitted uses by district are set forth in Article 3, Permitted Land Uses. 1. Building envelope standards. The building envelope standards for buildings in the commercial districts are as follows. The cross-reference shown in the right hand column of the table lists additional standards that must be followed. NONRESIDENTIALPO CG CI Lot (min ft.) Area (sq. ft.) 10,000 10,000 10,000 Width Area per Unit (sq. ft.) Yard Setbacks (min ft.) Front Side (interior) Side (street)

17 Municode Page 2 of 6 3/5/2013 Rear Waterfront Bulk (max) Height (ft.) or 5 stories 70 or 5 stories Building Coverage 45% 45% 45% MULTI- FAMILY Density (max units/acre) Permitted by-right Permitted by conditional use Lot (min ft.) Area (sq. ft.) Width Area per Unit (sq. ft.) Yard Setbacks (min ft.) Front Side (interior) Side (street) Rear Waterfront Bulk (max) Height (ft.) Building Coverage PO CG CI , * 45% , * 45% , * 45% *70 feet or five stories subject to the underlying setbacks, or no height limit, except that height of structures cannot exceed twice the least proposed yard setback. The option for height limit must be determined at the time of site work permits. TOWNHOUSEPO CG CI Density (max units/acre)

18 Municode Page 3 of 6 3/5/2013 Permitted by-right Permitted by conditional use Lot (min ft.) Area (sq. ft.) Width Area per 2,722 2,722 2,722 Unit (sq. ft.) Yard Setbacks (min ft.) Front Side (interior) Side (street) Rear Waterfront Bulk (max) Height (ft.) Building Coverage 45% 45% 45% C. Building form standards. 1. Applicability. a. The building form standards for the CG and CI districts vary based on the frontage type assigned to a specific property as set forth on the Official Zoning Map. Where no frontage is designated on the Official Zoning Map as Urban, Pedestrian, or Commercial, the building envelope standards set forth in subsection B.1 above shall apply. b. Frontage types shall be assigned through amendment of the Official Zoning Map. Each frontage shall be designated using a line symbol along any primary street. Any other street without a designated frontage shall be considered a secondary street. c. These form requirements apply to all new development along the designated frontage except for stand-alone K-12 public or private schools, places of worship, and public utilities.

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21 Municode Page 6 of 6 3/5/2013 (Ord. No. 3422, 4, ; Ord. No. 3473, 3, )

22 Colonial Boulevard Demographics

23 KEY FACTS EDUCATION 7,071 Population % 2.3 Average Household Size Median Age $43,718 Median Household Income No High School Diploma 26% High School Graduate 34% Some College 28% Bachelor's/Grad/Prof Degree BUSINESS EMPLOYMENT 66% White Collar 14% 8.1% 271 Total Businesses 4,575 Total Employees Blue Collar Services 21% Unemployment Rate INCOME Households By Income The largest group: $35,000 - $49,999 (16.7%) The smallest group: $200,000+ (2.9%) Indicator Value Difference <$15, % +4.5% $15,000 - $24, % +3.7% $25,000 - $34, % +0.9% $35,000 - $49, % +1.0% $50,000 - $74, % -3.1% $75,000 - $99, % -1.2% $43,718 $26,169 $18,777 $100,000 - $149,999 $150,000 - $199,999 $200, % 3.2% 2.9% -2.0% -1.1% -2.8% Median Household Income Per Capita Income Median Net Worth Bars show deviation from Lee County

24 KEY FACTS EDUCATION 53,933 Population % 2.3 Average Household Size Median Age $42,408 Median Household Income No High School Diploma 28% High School Graduate 29% Some College 25% Bachelor's/Grad/Prof Degree BUSINESS EMPLOYMENT 61% White Collar 17% 6.9% 3,847 Total Businesses 49,708 Total Employees Blue Collar Services 22% Unemployment Rate INCOME Households By Income The largest group: $35,000 - $49,999 (17.1%) The smallest group: $150,000 - $199,999 (3.1%) Indicator Value Difference <$15, % +4.0% $15,000 - $24, % +3.8% $25,000 - $34, % +2.4% $35,000 - $49, % +1.4% $50,000 - $74, % -3.7% $75,000 - $99, % -2.0% $43,718 $26,169 $18,777 $100,000 - $149,999 $150,000 - $199,999 $200, % 3.1% 3.7% -2.8% -1.2% -2.0% Median Household Income Per Capita Income Median Net Worth Bars show deviation from Lee County

25 KEY FACTS EDUCATION 131,425 Population % 2.3 Average Household Size Median Age $46,973 Median Household Income No High School Diploma 25% High School Graduate 27% Some College 31% Bachelor's/Grad/Prof Degree BUSINESS EMPLOYMENT 63% White Collar 17% 5.7% 9,019 Total Businesses 106,588 Total Employees Blue Collar Services 20% Unemployment Rate INCOME Households By Income The largest group: $50,000 - $74,999 (16.8%) The smallest group: $150,000 - $199,999 (4.0%) Indicator Value Difference <$15, % +3.0% $15,000 - $24, % +2.4% $25,000 - $34, % +0.9% $35,000 - $49, % +0.7% $50,000 - $74, % -2.9% $75,000 - $99, % -1.6% $43,718 $26,169 $18,777 $100,000 - $149,999 $150,000 - $199,999 $200, % 4.0% 5.4% -1.9% -0.3% -0.3% Median Household Income Per Capita Income Median Net Worth Bars show deviation from Lee County

26 Retail MarketPlace Profile Ring: 1 mile radius Longitude: Summary Demographics 2018 Population 7, Households 3, Median Disposable Income $37, Per Capita Income $26,169 NAICS Demand Supply Retail Gap Leakage/Surplus Number of 2017 Industry Summary (Retail Potential) (Retail Sales) Factor Businesses Total Retail Trade and Food & Drink 44-45,722 $84,141,046 $175,534,882 -$91,393, Total Retail Trade $75,855,433 $167,889,752 -$92,034, Total Food & Drink 722 $8,285,613 $7,645,130 $640, NAICS Demand Supply Retail Gap Leakage/Surplus Number of 2017 Industry Group (Retail Potential) (Retail Sales) Factor Businesses Motor Vehicle & Parts Dealers 441 $16,281,679 $48,231,802 -$31,950, Automobile Dealers 4411 $13,005,171 $42,915,185 -$29,910, Other Motor Vehicle Dealers 4412 $1,863,763 $0 $1,863, Auto Parts, Accessories & Tire Stores 4413 $1,412,744 $1,248,483 $164, Furniture & Home Furnishings Stores 442 $2,734,500 $1,475,188 $1,259, Furniture Stores 4421 $1,561,766 $0 $1,561, Home Furnishings Stores 4422 $1,172,734 $1,182,397 -$9, Electronics & Appliance Stores 443 $2,183,121 $0 $2,183, Bldg Materials, Garden Equip. & Supply Stores 444 $4,705,235 $12,767,530 -$8,062, Bldg Material & Supplies Dealers 4441 $4,359,961 $12,573,521 -$8,213, Lawn & Garden Equip & Supply Stores 4442 $345,274 $0 $345, Food & Beverage Stores 445 $13,656,020 $2,671,662 $10,984, Grocery Stores 4451 $12,418,279 $2,612,158 $9,806, Specialty Food Stores 4452 $574,662 $0 $574, Beer, Wine & Liquor Stores 4453 $663,079 $0 $663, Health & Personal Care Stores 446,4461 $4,936,638 $5,423,943 -$487, Gasoline Stations 447,4471 $8,000,613 $0 $8,000, Clothing & Clothing Accessories Stores 448 $3,875,385 $0 $3,875, Clothing Stores 4481 $2,618,975 $0 $2,618, Shoe Stores 4482 $605,739 $0 $605, Jewelry, Luggage & Leather Goods Stores 4483 $650,671 $0 $650, Sporting Goods, Hobby, Book & Music Stores 451 $1,869,541 $2,871,447 -$1,001, Sporting Goods/Hobby/Musical Instr Stores 4511 $1,531,219 $2,871,447 -$1,340, Book, Periodical & Music Stores 4512 $338,322 $0 $338, General Merchandise Stores 452 $12,636,637 $87,506,038 -$74,869, Department Stores Excluding Leased Depts $8,850,362 $61,020,756 -$52,170, Other General Merchandise Stores 4529 $3,786,275 $26,485,282 -$22,699, Miscellaneous Store Retailers 453 $3,058,031 $5,723,157 -$2,665, Florists 4531 $118,911 $97,372 $21, Office Supplies, Stationery & Gift Stores 4532 $663,465 $0 $663, Used Merchandise Stores 4533 $697,167 $4,867,532 -$4,170, Other Miscellaneous Store Retailers 4539 $1,578,489 $740,944 $837, Nonstore Retailers 454 $1,918,035 $0 $1,918, Electronic Shopping & Mail-Order Houses 4541 $1,644,660 $0 $1,644, Vending Machine Operators 4542 $33,615 $0 $33, Direct Selling Establishments 4543 $239,760 $0 $239, Food Services & Drinking Places 722 $8,285,613 $7,645,130 $640, Special Food Services 7223 $137,396 $0 $137, Drinking Places - Alcoholic Beverages 7224 $636,415 $436,431 $199, Restaurants/Other Eating Places 7225 $7,511,801 $7,172,979 $338, Data Note: Supply (retail sales) estimates sales to consumers by establishments. Sales to businesses are excluded. Demand (retail potential) estimates the expected amount spent by consumers at retail establishments. Supply and demand estimates are in current dollars. The Leakage/Surplus Factor presents a snapshot of retail opportunity. This is a measure of the relationship between supply and demand that ranges from +100 (total leakage) to -100 (total surplus). A positive value represents 'leakage' of retail opportunity outside the trade area. A negative value represents a surplus of retail sales, a market where customers are drawn in from outside the trade area. The Retail Gap represents the difference between Retail Potential and Retail Sales. Esri uses the North American Industry Classification System (NAICS) to classify businesses by their primary type of economic activity. Retail establishments are classified into 27 industry groups in the Retail Trade sector, as well as four industry groups within the Food Services & Drinking Establishments subsector. For more information on the Retail MarketPlace data, please click the link below to view the Methodology Statement. Source: Esri and Infogroup. Esri 2018 Updated Demographics. Esri 2017 Retail MarketPlace. Copyright 2018 Esri. Copyright 2017 Infogroup, Inc. All rights reserved Esri Page 1 of 6

27 Retail MarketPlace Profile Ring: 1 mile radius Longitude: Leakage/Surplus Factor by Industry Subsector Motor Vehicle & Parts Dealers Furniture & Home Furnishings Stores Electronics & Appliance Stores Bldg Materials, Garden Equip. & Supply Stores Food & Beverage Stores Health & Personal Care Stores Gasoline Stations Clothing and Clothing Accessories Stores Sporting Goods, Hobby, Book, and Music Stores General Merchandise Stores Miscellaneous Store Retailers Nonstore Retailers Food Services & Drinking Places Leakage/Surplus Factor Leakage/Surplus Factor by Industry Group Automobile Dealers Other Motor Vehicle Dealers Auto Parts, Accessories, and Tire Stores Furniture Stores Home Furnishings Stores Electronics & Appliance Stores Building Material and Supplies Dealers Lawn and Garden Equipment and Supplies Stores Grocery Stores Specialty Food Stores Beer, Wine, and Liquor Stores Health & Personal Care Stores Gasoline Stations Clothing Stores Shoe Stores Jewelry, Luggage, and Leather Goods Stores Book, Periodical, and Music Stores Department Stores (Excluding Leased Depts.) Other General Merchandise Stores Florists Office Supplies, Stationery, and Gift Stores Used Merchandise Stores Other Miscellaneous Store Retailers Electronic Shopping and Mail-Order Houses Vending Machine Operators Direct Selling Establishments Special Food Services Drinking Places (Alcoholic Beverages) Restaurants/Other Eating Places Leakage/Surplus Factor Source: Esri and Infogroup. Esri 2018 Updated Demographics. Esri 2017 Retail MarketPlace. Copyright 2018 Esri. Copyright 2017 Infogroup, Inc. All rights reserved Esri Page 2 of 6

28 Retail MarketPlace Profile Ring: 3 mile radius Longitude: Summary Demographics 2018 Population 53, Households 22, Median Disposable Income $36, Per Capita Income $27,424 NAICS Demand Supply Retail Gap Leakage/Surplus Number of 2017 Industry Summary (Retail Potential) (Retail Sales) Factor Businesses Total Retail Trade and Food & Drink 44-45,722 $656,666,976 $1,972,362,990 -$1,315,696, Total Retail Trade $593,118,246 $1,852,968,715 -$1,259,850, Total Food & Drink 722 $63,548,729 $119,394,275 -$55,845, NAICS Demand Supply Retail Gap Leakage/Surplus Number of 2017 Industry Group (Retail Potential) (Retail Sales) Factor Businesses Motor Vehicle & Parts Dealers 441 $128,290,347 $662,610,163 -$534,319, Automobile Dealers 4411 $102,437,304 $526,278,864 -$423,841, Other Motor Vehicle Dealers 4412 $14,760,895 $61,823,560 -$47,062, Auto Parts, Accessories & Tire Stores 4413 $11,092,149 $74,507,739 -$63,415, Furniture & Home Furnishings Stores 442 $21,406,641 $85,702,415 -$64,295, Furniture Stores 4421 $12,099,570 $54,708,295 -$42,608, Home Furnishings Stores 4422 $9,307,072 $30,994,119 -$21,687, Electronics & Appliance Stores 443 $16,925,530 $51,969,545 -$35,044, Bldg Materials, Garden Equip. & Supply Stores 444 $38,280,958 $205,758,482 -$167,477, Bldg Material & Supplies Dealers 4441 $35,421,075 $199,864,633 -$164,443, Lawn & Garden Equip & Supply Stores 4442 $2,859,883 $5,893,849 -$3,033, Food & Beverage Stores 445 $105,832,182 $84,420,084 $21,412, Grocery Stores 4451 $96,267,007 $77,064,201 $19,202, Specialty Food Stores 4452 $4,436,411 $5,676,359 -$1,239, Beer, Wine & Liquor Stores 4453 $5,128,764 $1,679,524 $3,449, Health & Personal Care Stores 446,4461 $39,641,621 $71,355,133 -$31,713, Gasoline Stations 447,4471 $62,154,789 $27,992,258 $34,162, Clothing & Clothing Accessories Stores 448 $29,517,709 $102,507,714 -$72,990, Clothing Stores 4481 $19,959,442 $62,064,509 -$42,105, Shoe Stores 4482 $4,541,736 $21,125,067 -$16,583, Jewelry, Luggage & Leather Goods Stores 4483 $5,016,532 $19,318,138 -$14,301, Sporting Goods, Hobby, Book & Music Stores 451 $14,372,999 $57,326,024 -$42,953, Sporting Goods/Hobby/Musical Instr Stores 4511 $11,816,018 $54,413,285 -$42,597, Book, Periodical & Music Stores 4512 $2,556,981 $2,912,740 -$355, General Merchandise Stores 452 $97,346,037 $431,968,648 -$334,622, Department Stores Excluding Leased Depts $67,967,315 $277,856,991 -$209,889, Other General Merchandise Stores 4529 $29,378,722 $154,111,657 -$124,732, Miscellaneous Store Retailers 453 $24,105,029 $62,556,555 -$38,451, Florists 4531 $959,164 $2,779,355 -$1,820, Office Supplies, Stationery & Gift Stores 4532 $5,147,432 $13,061,446 -$7,914, Used Merchandise Stores 4533 $5,339,705 $15,939,438 -$10,599, Other Miscellaneous Store Retailers 4539 $12,658,728 $30,776,316 -$18,117, Nonstore Retailers 454 $15,244,403 $8,801,694 $6,442, Electronic Shopping & Mail-Order Houses 4541 $12,988,867 $733,415 $12,255, Vending Machine Operators 4542 $259,377 $485,490 -$226, Direct Selling Establishments 4543 $1,996,160 $7,582,789 -$5,586, Food Services & Drinking Places 722 $63,548,729 $119,394,275 -$55,845, Special Food Services 7223 $1,037,947 $528,508 $509, Drinking Places - Alcoholic Beverages 7224 $4,977,633 $2,880,288 $2,097, Restaurants/Other Eating Places 7225 $57,533,149 $115,985,478 -$58,452, Data Note: Supply (retail sales) estimates sales to consumers by establishments. Sales to businesses are excluded. Demand (retail potential) estimates the expected amount spent by consumers at retail establishments. Supply and demand estimates are in current dollars. The Leakage/Surplus Factor presents a snapshot of retail opportunity. This is a measure of the relationship between supply and demand that ranges from +100 (total leakage) to -100 (total surplus). A positive value represents 'leakage' of retail opportunity outside the trade area. A negative value represents a surplus of retail sales, a market where customers are drawn in from outside the trade area. The Retail Gap represents the difference between Retail Potential and Retail Sales. Esri uses the North American Industry Classification System (NAICS) to classify businesses by their primary type of economic activity. Retail establishments are classified into 27 industry groups in the Retail Trade sector, as well as four industry groups within the Food Services & Drinking Establishments subsector. For more information on the Retail MarketPlace data, please click the link below to view the Methodology Statement. Source: Esri and Infogroup. Esri 2018 Updated Demographics. Esri 2017 Retail MarketPlace. Copyright 2018 Esri. Copyright 2017 Infogroup, Inc. All rights reserved Esri Page 3 of 6

29 Retail MarketPlace Profile Ring: 3 mile radius Longitude: Leakage/Surplus Factor by Industry Subsector Motor Vehicle & Parts Dealers Furniture & Home Furnishings Stores Electronics & Appliance Stores Bldg Materials, Garden Equip. & Supply Stores Food & Beverage Stores Health & Personal Care Stores Gasoline Stations Clothing and Clothing Accessories Stores Sporting Goods, Hobby, Book, and Music Stores General Merchandise Stores Miscellaneous Store Retailers Nonstore Retailers Food Services & Drinking Places Leakage/Surplus Factor Leakage/Surplus Factor by Industry Group Automobile Dealers Other Motor Vehicle Dealers Auto Parts, Accessories, and Tire Stores Furniture Stores Home Furnishings Stores Electronics & Appliance Stores Building Material and Supplies Dealers Lawn and Garden Equipment and Supplies Stores Grocery Stores Specialty Food Stores Beer, Wine, and Liquor Stores Health & Personal Care Stores Gasoline Stations Clothing Stores Shoe Stores Jewelry, Luggage, and Leather Goods Stores Book, Periodical, and Music Stores Department Stores (Excluding Leased Depts.) Other General Merchandise Stores Florists Office Supplies, Stationery, and Gift Stores Used Merchandise Stores Other Miscellaneous Store Retailers Electronic Shopping and Mail-Order Houses Vending Machine Operators Direct Selling Establishments Special Food Services Drinking Places (Alcoholic Beverages) Restaurants/Other Eating Places Leakage/Surplus Factor Source: Esri and Infogroup. Esri 2018 Updated Demographics. Esri 2017 Retail MarketPlace. Copyright 2018 Esri. Copyright 2017 Infogroup, Inc. All rights reserved Esri Page 4 of 6

30 Retail MarketPlace Profile Ring: 5 mile radius Longitude: Summary Demographics 2018 Population 131, Households 55, Median Disposable Income $40, Per Capita Income $31,257 NAICS Demand Supply Retail Gap Leakage/Surplus Number of 2017 Industry Summary (Retail Potential) (Retail Sales) Factor Businesses Total Retail Trade and Food & Drink 44-45,722 $1,824,467,310 $3,923,730,043 -$2,099,262, ,697 Total Retail Trade $1,648,832,571 $3,607,908,072 -$1,959,075, ,291 Total Food & Drink 722 $175,634,738 $315,821,971 -$140,187, NAICS Demand Supply Retail Gap Leakage/Surplus Number of 2017 Industry Group (Retail Potential) (Retail Sales) Factor Businesses Motor Vehicle & Parts Dealers 441 $356,123,846 $1,244,591,340 -$888,467, Automobile Dealers 4411 $283,788,304 $988,620,712 -$704,832, Other Motor Vehicle Dealers 4412 $41,349,624 $149,480,761 -$108,131, Auto Parts, Accessories & Tire Stores 4413 $30,985,918 $106,489,866 -$75,503, Furniture & Home Furnishings Stores 442 $59,893,250 $166,687,591 -$106,794, Furniture Stores 4421 $33,369,460 $89,126,862 -$55,757, Home Furnishings Stores 4422 $26,523,791 $77,560,729 -$51,036, Electronics & Appliance Stores 443 $47,152,478 $90,859,772 -$43,707, Bldg Materials, Garden Equip. & Supply Stores 444 $110,855,638 $336,078,205 -$225,222, Bldg Material & Supplies Dealers 4441 $102,556,765 $318,793,406 -$216,236, Lawn & Garden Equip & Supply Stores 4442 $8,298,873 $17,284,798 -$8,985, Food & Beverage Stores 445 $291,854,786 $293,975,435 -$2,120, Grocery Stores 4451 $265,379,787 $262,444,712 $2,935, Specialty Food Stores 4452 $12,203,339 $14,848,900 -$2,645, Beer, Wine & Liquor Stores 4453 $14,271,660 $16,681,824 -$2,410, Health & Personal Care Stores 446,4461 $111,464,304 $169,870,151 -$58,405, Gasoline Stations 447,4471 $170,911,181 $164,242,073 $6,669, Clothing & Clothing Accessories Stores 448 $81,699,794 $166,361,943 -$84,662, Clothing Stores 4481 $55,123,835 $99,387,176 -$44,263, Shoe Stores 4482 $12,433,911 $29,852,252 -$17,418, Jewelry, Luggage & Leather Goods Stores 4483 $14,142,048 $37,122,515 -$22,980, Sporting Goods, Hobby, Book & Music Stores 451 $39,932,791 $89,947,636 -$50,014, Sporting Goods/Hobby/Musical Instr Stores 4511 $32,970,559 $78,300,406 -$45,329, Book, Periodical & Music Stores 4512 $6,962,232 $11,647,230 -$4,684, General Merchandise Stores 452 $268,973,774 $722,544,697 -$453,570, Department Stores Excluding Leased Depts $188,030,228 $450,749,333 -$262,719, Other General Merchandise Stores 4529 $80,943,546 $271,795,365 -$190,851, Miscellaneous Store Retailers 453 $67,109,198 $132,006,737 -$64,897, Florists 4531 $2,786,850 $3,979,905 -$1,193, Office Supplies, Stationery & Gift Stores 4532 $14,366,819 $27,924,904 -$13,558, Used Merchandise Stores 4533 $14,704,032 $41,370,307 -$26,666, Other Miscellaneous Store Retailers 4539 $35,251,496 $58,731,622 -$23,480, Nonstore Retailers 454 $42,861,531 $30,742,492 $12,119, Electronic Shopping & Mail-Order Houses 4541 $36,307,249 $9,158,667 $27,148, Vending Machine Operators 4542 $713,408 $1,654,489 -$941, Direct Selling Establishments 4543 $5,840,874 $19,929,336 -$14,088, Food Services & Drinking Places 722 $175,634,738 $315,821,971 -$140,187, Special Food Services 7223 $2,849,528 $2,457,057 $392, Drinking Places - Alcoholic Beverages 7224 $14,099,829 $8,650,129 $5,449, Restaurants/Other Eating Places 7225 $158,685,381 $304,714,785 -$146,029, Data Note: Supply (retail sales) estimates sales to consumers by establishments. Sales to businesses are excluded. Demand (retail potential) estimates the expected amount spent by consumers at retail establishments. Supply and demand estimates are in current dollars. The Leakage/Surplus Factor presents a snapshot of retail opportunity. This is a measure of the relationship between supply and demand that ranges from +100 (total leakage) to -100 (total surplus). A positive value represents 'leakage' of retail opportunity outside the trade area. A negative value represents a surplus of retail sales, a market where customers are drawn in from outside the trade area. The Retail Gap represents the difference between Retail Potential and Retail Sales. Esri uses the North American Industry Classification System (NAICS) to classify businesses by their primary type of economic activity. Retail establishments are classified into 27 industry groups in the Retail Trade sector, as well as four industry groups within the Food Services & Drinking Establishments subsector. For more information on the Retail MarketPlace data, please click the link below to view the Methodology Statement. Source: Esri and Infogroup. Esri 2018 Updated Demographics. Esri 2017 Retail MarketPlace. Copyright 2018 Esri. Copyright 2017 Infogroup, Inc. All rights reserved Esri Page 5 of 6

31 Retail MarketPlace Profile Ring: 5 mile radius Longitude: Leakage/Surplus Factor by Industry Subsector Motor Vehicle & Parts Dealers Furniture & Home Furnishings Stores Electronics & Appliance Stores Bldg Materials, Garden Equip. & Supply Stores Food & Beverage Stores Health & Personal Care Stores Gasoline Stations Clothing and Clothing Accessories Stores Sporting Goods, Hobby, Book, and Music Stores General Merchandise Stores Miscellaneous Store Retailers Nonstore Retailers Food Services & Drinking Places Leakage/Surplus Factor Leakage/Surplus Factor by Industry Group Automobile Dealers Other Motor Vehicle Dealers Auto Parts, Accessories, and Tire Stores Furniture Stores Home Furnishings Stores Electronics & Appliance Stores Building Material and Supplies Dealers Lawn and Garden Equipment and Supplies Stores Grocery Stores Specialty Food Stores Beer, Wine, and Liquor Stores Health & Personal Care Stores Gasoline Stations Clothing Stores Shoe Stores Jewelry, Luggage, and Leather Goods Stores Book, Periodical, and Music Stores Department Stores (Excluding Leased Depts.) Other General Merchandise Stores Florists Office Supplies, Stationery, and Gift Stores Used Merchandise Stores Other Miscellaneous Store Retailers Electronic Shopping and Mail-Order Houses Vending Machine Operators Direct Selling Establishments Special Food Services Drinking Places (Alcoholic Beverages) Restaurants/Other Eating Places Leakage/Surplus Factor Source: Esri and Infogroup. Esri 2018 Updated Demographics. Esri 2017 Retail MarketPlace. Copyright 2018 Esri. Copyright 2017 Infogroup, Inc. All rights reserved Esri Page 6 of 6

32 Retail Market Potential Ring: 1 mile radius Longitude: Demographic Summary Population 7,071 8,399 Population 18+ 5,279 6,258 Households 3,065 3,643 Median Household Income $43,718 $49,608 Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Apparel (Adults) Bought any men's clothing in last 12 months 2, % 93 Bought any women's clothing in last 12 months 2, % 96 Bought clothing for child <13 years in last 6 months 1, % 116 Bought any shoes in last 12 months 2, % 95 Bought costume jewelry in last 12 months 1, % 111 Bought any fine jewelry in last 12 months % 100 Bought a watch in last 12 months % 91 Automobiles (Households) HH owns/leases any vehicle 2, % 95 HH bought/leased new vehicle last 12 mo % 79 Automotive Aftermarket (Adults) Bought gasoline in last 6 months 4, % 94 Bought/changed motor oil in last 12 months 2, % 86 Had tune-up in last 12 months 1, % 99 Beverages (Adults) Drank bottled water/seltzer in last 6 months 3, % 101 Drank regular cola in last 6 months 2, % 103 Drank beer/ale in last 6 months 2, % 100 Cameras (Adults) Own digital point & shoot camera/camcorder % 81 Own digital SLR camera/camcorder % 87 Printed digital photos in last 12 months 1, % 93 Cell Phones (Adults/Households) Bought cell phone in last 12 months 1, % 96 Have a smartphone 4, % 105 Have a smartphone: Android phone (any brand) 2, % 114 Have a smartphone: Apple iphone 1, % 96 Number of cell phones in household: 1 1, % 109 Number of cell phones in household: 2 1, % 100 Number of cell phones in household: % 92 HH has cell phone only (no landline telephone) 1, % 123 Computers (Households) HH owns a computer 2, % 93 HH owns desktop computer 1, % 90 HH owns laptop/notebook 1, % 95 HH owns any Apple/Mac brand computer % 86 HH owns any PC/non-Apple brand computer 1, % 95 HH purchased most recent computer in a store 1, % 90 HH purchased most recent computer online % 88 Spent <$500 on most recent home computer % 100 Spent $500-$999 on most recent home computer % 90 Spent $1,000-$1,499 on most recent home computer % 89 Spent $1,500-$1,999 on most recent home computer % 88 Spent $2,000+ on most recent home computer % 80 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 1 of 12

33 Retail Market Potential Ring: 1 mile radius Longitude: Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Convenience Stores (Adults) Shopped at convenience store in last 6 mos 3, % 99 Bought brewed coffee at convenience store in last 30 days % 89 Bought cigarettes at convenience store in last 30 days % 105 Bought gas at convenience store in last 30 days 1, % 87 Spent at convenience store in last 30 days: <$ % 117 Spent at convenience store in last 30 days: $20-$ % 119 Spent at convenience store in last 30 days: $40-$ % 111 Spent at convenience store in last 30 days: $51-$ % 69 Spent at convenience store in last 30 days: $ % 82 Entertainment (Adults) Attended a movie in last 6 months 3, % 101 Went to live theater in last 12 months % 75 Went to a bar/night club in last 12 months % 106 Dined out in last 12 months 2, % 91 Gambled at a casino in last 12 months % 112 Visited a theme park in last 12 months 1, % 103 Viewed movie (video-on-demand) in last 30 days % 94 Viewed TV show (video-on-demand) in last 30 days % 92 Watched any pay-per-view TV in last 12 months % 82 Downloaded a movie over the Internet in last 30 days % 109 Downloaded any individual song in last 6 months 1, % 106 Watched a movie online in the last 30 days 1, % 106 Watched a TV program online in last 30 days 1, % 114 Played a video/electronic game (console) in last 12 months % 97 Played a video/electronic game (portable) in last 12 months % 111 Financial (Adults) Have home mortgage (1st) 1, % 77 Used ATM/cash machine in last 12 months 2, % 102 Own any stock % 78 Own U.S. savings bond % 88 Own shares in mutual fund (stock) % 80 Own shares in mutual fund (bonds) % 92 Have interest checking account 1, % 93 Have non-interest checking account 1, % 88 Have savings account 2, % 96 Have 401K retirement savings plan % 84 Own/used any credit/debit card in last 12 months 4, % 99 Avg monthly credit card expenditures: <$ % 100 Avg monthly credit card expenditures: $111-$ % 79 Avg monthly credit card expenditures: $226-$ % 74 Avg monthly credit card expenditures: $451-$ % 76 Avg monthly credit card expenditures: $701-$1, % 85 Avg monthly credit card expenditures: $1, % 80 Did banking online in last 12 months 1, % 92 Did banking on mobile device in last 12 months 1, % 106 Paid bills online in last 12 months 2, % 104 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 2 of 12

34 Retail Market Potential Ring: 1 mile radius Longitude: Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Grocery (Adults) Used beef (fresh/frozen) in last 6 months 2, % 95 Used bread in last 6 months 2, % 102 Used chicken (fresh or frozen) in last 6 months 2, % 101 Used turkey (fresh or frozen) in last 6 months % 111 Used fish/seafood (fresh or frozen) in last 6 months 1, % 95 Used fresh fruit/vegetables in last 6 months 2, % 97 Used fresh milk in last 6 months 2, % 102 Used organic food in last 6 months % 102 Health (Adults) Exercise at home 2+ times per week 1, % 105 Exercise at club 2+ times per week % 100 Visited a doctor in last 12 months 3, % 93 Used vitamin/dietary supplement in last 6 months 2, % 100 Home (Households) Any home improvement in last 12 months % 68 Used housekeeper/maid/professional HH cleaning service in last % 91 Purchased low ticket HH furnishings in last 12 months % 84 Purchased big ticket HH furnishings in last 12 months % 105 Bought any small kitchen appliance in last 12 months % 95 Bought any large kitchen appliance in last 12 months % 74 Insurance (Adults/Households) Currently carry life insurance 2, % 88 Carry medical/hospital/accident insurance 3, % 98 Carry homeowner insurance 1, % 77 Carry renter's insurance % 145 Have auto insurance: 1 vehicle in household covered 1, % 111 Have auto insurance: 2 vehicles in household covered % 95 Have auto insurance: 3+ vehicles in household covered % 66 Pets (Households) Household owns any pet 1, % 84 Household owns any cat % 73 Household owns any dog 1, % 85 Psychographics (Adults) Buying American is important to me 1, % 91 Usually buy items on credit rather than wait % 107 Usually buy based on quality - not price % 97 Price is usually more important than brand name 1, % 115 Usually use coupons for brands I buy often % 92 Am interested in how to help the environment 1, % 119 Usually pay more for environ safe product % 102 Usually value green products over convenience % 121 Likely to buy a brand that supports a charity 1, % 101 Reading (Adults) Bought digital book in last 12 months % 93 Bought hardcover book in last 12 months 1, % 100 Bought paperback book in last 12 month 1, % 109 Read any daily newspaper (paper version) % 84 Read any digital newspaper in last 30 days 2, % 101 Read any magazine (paper/electronic version) in last 6 months 4, % 100 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 3 of 12

35 Retail Market Potential Ring: 1 mile radius Longitude: Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Restaurants (Adults) Went to family restaurant/steak house in last 6 months 3, % 93 Went to family restaurant/steak house: 4+ times a month 1, % 90 Went to fast food/drive-in restaurant in last 6 months 4, % 98 Went to fast food/drive-in restaurant 9+ times/mo 1, % 89 Fast food/drive-in last 6 months: eat in 1, % 92 Fast food/drive-in last 6 months: home delivery % 97 Fast food/drive-in last 6 months: take-out/drive-thru 2, % 101 Fast food/drive-in last 6 months: take-out/walk-in 1, % 104 Television & Electronics (Adults/Households) Own any tablet 2, % 102 Own any e-reader % 93 Own e-reader/tablet: ipad 1, % 100 HH has Internet connectable TV % 81 Own any portable MP3 player 1, % 111 HH owns 1 TV % 114 HH owns 2 TVs % 106 HH owns 3 TVs % 93 HH owns 4+ TVs % 78 HH subscribes to cable TV 1, % 110 HH subscribes to fiber optic % 66 HH owns portable GPS navigation device % 89 HH purchased video game system in last 12 mos % 100 HH owns any Internet video device for TV % 110 Travel (Adults) Domestic travel in last 12 months 2, % 92 Took 3+ domestic non-business trips in last 12 months % 95 Spent on domestic vacations in last 12 months: <$1, % 101 Spent on domestic vacations in last 12 months: $1,000-$1, % 86 Spent on domestic vacations in last 12 months: $1,500-$1, % 86 Spent on domestic vacations in last 12 months: $2,000-$2, % 94 Spent on domestic vacations in last 12 months: $3, % 73 Domestic travel in the 12 months: used general travel website % 66 Foreign travel in last 3 years 1, % 100 Took 3+ foreign trips by plane in last 3 years % 77 Spent on foreign vacations in last 12 months: <$1, % 115 Spent on foreign vacations in last 12 months: $1,000-$2, % 80 Spent on foreign vacations in last 12 months: $3, % 89 Foreign travel in last 3 years: used general travel website % 74 Nights spent in hotel/motel in last 12 months: any 1, % 84 Took cruise of more than one day in last 3 years % 79 Member of any frequent flyer program % 95 Member of any hotel rewards program % 92 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 4 of 12

36 Retail Market Potential Ring: 3 mile radius Longitude: Demographic Summary Population 53,933 61,341 Population ,490 48,301 Households 22,237 25,424 Median Household Income $42,408 $48,548 Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Apparel (Adults) Bought any men's clothing in last 12 months 18, % 93 Bought any women's clothing in last 12 months 17, % 96 Bought clothing for child <13 years in last 6 months 11, % 99 Bought any shoes in last 12 months 21, % 95 Bought costume jewelry in last 12 months 8, % 108 Bought any fine jewelry in last 12 months 7, % 100 Bought a watch in last 12 months 6, % 99 Automobiles (Households) HH owns/leases any vehicle 18, % 95 HH bought/leased new vehicle last 12 mo 1, % 78 Automotive Aftermarket (Adults) Bought gasoline in last 6 months 34, % 95 Bought/changed motor oil in last 12 months 18, % 90 Had tune-up in last 12 months 10, % 98 Beverages (Adults) Drank bottled water/seltzer in last 6 months 29, % 99 Drank regular cola in last 6 months 19, % 103 Drank beer/ale in last 6 months 17, % 98 Cameras (Adults) Own digital point & shoot camera/camcorder 4, % 84 Own digital SLR camera/camcorder 2, % 81 Printed digital photos in last 12 months 8, % 85 Cell Phones (Adults/Households) Bought cell phone in last 12 months 14, % 97 Have a smartphone 33, % 100 Have a smartphone: Android phone (any brand) 17, % 105 Have a smartphone: Apple iphone 15, % 94 Number of cell phones in household: 1 8, % 120 Number of cell phones in household: 2 8, % 97 Number of cell phones in household: 3+ 4, % 80 HH has cell phone only (no landline telephone) 13, % 114 Computers (Households) HH owns a computer 15, % 92 HH owns desktop computer 7, % 88 HH owns laptop/notebook 11, % 92 HH owns any Apple/Mac brand computer 3, % 86 HH owns any PC/non-Apple brand computer 13, % 94 HH purchased most recent computer in a store 7, % 90 HH purchased most recent computer online 2, % 90 Spent <$500 on most recent home computer 3, % 99 Spent $500-$999 on most recent home computer 3, % 89 Spent $1,000-$1,499 on most recent home computer 1, % 86 Spent $1,500-$1,999 on most recent home computer 1, % 105 Spent $2,000+ on most recent home computer % 81 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 5 of 12

37 Retail Market Potential Ring: 3 mile radius Longitude: Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Convenience Stores (Adults) Shopped at convenience store in last 6 mos 25, % 98 Bought brewed coffee at convenience store in last 30 days 5, % 89 Bought cigarettes at convenience store in last 30 days 4, % 106 Bought gas at convenience store in last 30 days 14, % 94 Spent at convenience store in last 30 days: <$20 3, % 101 Spent at convenience store in last 30 days: $20-$39 4, % 102 Spent at convenience store in last 30 days: $40-$50 3, % 102 Spent at convenience store in last 30 days: $51-$99 2, % 93 Spent at convenience store in last 30 days: $100+ 8, % 89 Entertainment (Adults) Attended a movie in last 6 months 24, % 99 Went to live theater in last 12 months 4, % 95 Went to a bar/night club in last 12 months 7, % 96 Dined out in last 12 months 19, % 92 Gambled at a casino in last 12 months 5, % 104 Visited a theme park in last 12 months 7, % 91 Viewed movie (video-on-demand) in last 30 days 7, % 95 Viewed TV show (video-on-demand) in last 30 days 5, % 95 Watched any pay-per-view TV in last 12 months 4, % 86 Downloaded a movie over the Internet in last 30 days 3, % 102 Downloaded any individual song in last 6 months 8, % 98 Watched a movie online in the last 30 days 10, % 103 Watched a TV program online in last 30 days 7, % 102 Played a video/electronic game (console) in last 12 months 3, % 102 Played a video/electronic game (portable) in last 12 months 2, % 114 Financial (Adults) Have home mortgage (1st) 10, % 77 Used ATM/cash machine in last 12 months 21, % 95 Own any stock 2, % 89 Own U.S. savings bond 1, % 85 Own shares in mutual fund (stock) 2, % 84 Own shares in mutual fund (bonds) 1, % 89 Have interest checking account 11, % 90 Have non-interest checking account 11, % 90 Have savings account 22, % 92 Have 401K retirement savings plan 5, % 83 Own/used any credit/debit card in last 12 months 32, % 96 Avg monthly credit card expenditures: <$111 4, % 97 Avg monthly credit card expenditures: $111-$225 2, % 84 Avg monthly credit card expenditures: $226-$450 2, % 86 Avg monthly credit card expenditures: $451-$700 2, % 80 Avg monthly credit card expenditures: $701-$1,000 2, % 92 Avg monthly credit card expenditures: $1,001+ 4, % 87 Did banking online in last 12 months 14, % 89 Did banking on mobile device in last 12 months 9, % 94 Paid bills online in last 12 months 19, % 95 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 6 of 12

38 Retail Market Potential Ring: 3 mile radius Longitude: Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Grocery (Adults) Used beef (fresh/frozen) in last 6 months 14, % 96 Used bread in last 6 months 20, % 100 Used chicken (fresh or frozen) in last 6 months 14, % 98 Used turkey (fresh or frozen) in last 6 months 3, % 103 Used fish/seafood (fresh or frozen) in last 6 months 11, % 98 Used fresh fruit/vegetables in last 6 months 18, % 96 Used fresh milk in last 6 months 18, % 99 Used organic food in last 6 months 5, % 100 Health (Adults) Exercise at home 2+ times per week 11, % 100 Exercise at club 2+ times per week 5, % 91 Visited a doctor in last 12 months 31, % 96 Used vitamin/dietary supplement in last 6 months 22, % 96 Home (Households) Any home improvement in last 12 months 4, % 77 Used housekeeper/maid/professional HH cleaning service in last 12 2, % 89 Purchased low ticket HH furnishings in last 12 months 3, % 90 Purchased big ticket HH furnishings in last 12 months 4, % 101 Bought any small kitchen appliance in last 12 months 4, % 95 Bought any large kitchen appliance in last 12 months 2, % 86 Insurance (Adults/Households) Currently carry life insurance 17, % 92 Carry medical/hospital/accident insurance 30, % 96 Carry homeowner insurance 16, % 81 Carry renter's insurance 5, % 138 Have auto insurance: 1 vehicle in household covered 7, % 114 Have auto insurance: 2 vehicles in household covered 5, % 89 Have auto insurance: 3+ vehicles in household covered 3, % 70 Pets (Households) Household owns any pet 10, % 84 Household owns any cat 3, % 75 Household owns any dog 7, % 84 Psychographics (Adults) Buying American is important to me 16, % 95 Usually buy items on credit rather than wait 5, % 107 Usually buy based on quality - not price 8, % 102 Price is usually more important than brand name 12, % 108 Usually use coupons for brands I buy often 7, % 100 Am interested in how to help the environment 8, % 111 Usually pay more for environ safe product 6, % 100 Usually value green products over convenience 5, % 115 Likely to buy a brand that supports a charity 14, % 99 Reading (Adults) Bought digital book in last 12 months 5, % 98 Bought hardcover book in last 12 months 8, % 97 Bought paperback book in last 12 month 11, % 96 Read any daily newspaper (paper version) 8, % 101 Read any digital newspaper in last 30 days 15, % 97 Read any magazine (paper/electronic version) in last 6 months 38, % 99 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 7 of 12

39 Retail Market Potential Ring: 3 mile radius Longitude: Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Restaurants (Adults) Went to family restaurant/steak house in last 6 months 31, % 97 Went to family restaurant/steak house: 4+ times a month 11, % 100 Went to fast food/drive-in restaurant in last 6 months 37, % 99 Went to fast food/drive-in restaurant 9+ times/mo 15, % 94 Fast food/drive-in last 6 months: eat in 14, % 93 Fast food/drive-in last 6 months: home delivery 3, % 101 Fast food/drive-in last 6 months: take-out/drive-thru 19, % 98 Fast food/drive-in last 6 months: take-out/walk-in 9, % 101 Television & Electronics (Adults/Households) Own any tablet 18, % 97 Own any e-reader 2, % 89 Own e-reader/tablet: ipad 10, % 95 HH has Internet connectable TV 4, % 84 Own any portable MP3 player 8, % 95 HH owns 1 TV 5, % 113 HH owns 2 TVs 6, % 103 HH owns 3 TVs 4, % 91 HH owns 4+ TVs 3, % 82 HH subscribes to cable TV 11, % 114 HH subscribes to fiber optic 1, % 67 HH owns portable GPS navigation device 4, % 87 HH purchased video game system in last 12 mos 1, % 84 HH owns any Internet video device for TV 4, % 96 Travel (Adults) Domestic travel in last 12 months 20, % 91 Took 3+ domestic non-business trips in last 12 months 5, % 99 Spent on domestic vacations in last 12 months: <$1,000 4, % 94 Spent on domestic vacations in last 12 months: $1,000-$1,499 2, % 90 Spent on domestic vacations in last 12 months: $1,500-$1,999 1, % 86 Spent on domestic vacations in last 12 months: $2,000-$2,999 1, % 96 Spent on domestic vacations in last 12 months: $3,000+ 2, % 87 Domestic travel in the 12 months: used general travel website 2, % 80 Foreign travel in last 3 years 10, % 90 Took 3+ foreign trips by plane in last 3 years 1, % 82 Spent on foreign vacations in last 12 months: <$1,000 1, % 98 Spent on foreign vacations in last 12 months: $1,000-$2,999 1, % 80 Spent on foreign vacations in last 12 months: $3,000+ 2, % 86 Foreign travel in last 3 years: used general travel website 2, % 83 Nights spent in hotel/motel in last 12 months: any 16, % 89 Took cruise of more than one day in last 3 years 3, % 86 Member of any frequent flyer program 6, % 93 Member of any hotel rewards program 6, % 92 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 8 of 12

40 Retail Market Potential Ring: 5 mile radius Longitude: Demographic Summary Population 131, ,427 Population , ,222 Households 55,154 62,421 Median Household Income $46,973 $54,006 Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Apparel (Adults) Bought any men's clothing in last 12 months 47, % 96 Bought any women's clothing in last 12 months 45, % 99 Bought clothing for child <13 years in last 6 months 26, % 94 Bought any shoes in last 12 months 54, % 97 Bought costume jewelry in last 12 months 20, % 105 Bought any fine jewelry in last 12 months 18, % 101 Bought a watch in last 12 months 16, % 98 Automobiles (Households) HH owns/leases any vehicle 46, % 98 HH bought/leased new vehicle last 12 mo 4, % 87 Automotive Aftermarket (Adults) Bought gasoline in last 6 months 88, % 98 Bought/changed motor oil in last 12 months 47, % 95 Had tune-up in last 12 months 27, % 101 Beverages (Adults) Drank bottled water/seltzer in last 6 months 72, % 99 Drank regular cola in last 6 months 46, % 100 Drank beer/ale in last 6 months 43, % 99 Cameras (Adults) Own digital point & shoot camera/camcorder 11, % 93 Own digital SLR camera/camcorder 7, % 86 Printed digital photos in last 12 months 21, % 89 Cell Phones (Adults/Households) Bought cell phone in last 12 months 37, % 98 Have a smartphone 82, % 99 Have a smartphone: Android phone (any brand) 42, % 103 Have a smartphone: Apple iphone 37, % 93 Number of cell phones in household: 1 20, % 118 Number of cell phones in household: 2 21, % 99 Number of cell phones in household: 3+ 12, % 81 HH has cell phone only (no landline telephone) 31, % 107 Computers (Households) HH owns a computer 39, % 95 HH owns desktop computer 19, % 93 HH owns laptop/notebook 29, % 95 HH owns any Apple/Mac brand computer 8, % 89 HH owns any PC/non-Apple brand computer 33, % 97 HH purchased most recent computer in a store 19, % 95 HH purchased most recent computer online 6, % 91 Spent <$500 on most recent home computer 8, % 101 Spent $500-$999 on most recent home computer 9, % 95 Spent $1,000-$1,499 on most recent home computer 4, % 92 Spent $1,500-$1,999 on most recent home computer 2, % 106 Spent $2,000+ on most recent home computer 1, % 87 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 9 of 12

41 Retail Market Potential Ring: 5 mile radius Longitude: Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Convenience Stores (Adults) Shopped at convenience store in last 6 mos 64, % 98 Bought brewed coffee at convenience store in last 30 days 13, % 95 Bought cigarettes at convenience store in last 30 days 11, % 102 Bought gas at convenience store in last 30 days 38, % 98 Spent at convenience store in last 30 days: <$20 7, % 96 Spent at convenience store in last 30 days: $20-$39 9, % 99 Spent at convenience store in last 30 days: $40-$50 8, % 101 Spent at convenience store in last 30 days: $51-$99 5, % 99 Spent at convenience store in last 30 days: $ , % 94 Entertainment (Adults) Attended a movie in last 6 months 62, % 100 Went to live theater in last 12 months 12, % 100 Went to a bar/night club in last 12 months 17, % 94 Dined out in last 12 months 52, % 97 Gambled at a casino in last 12 months 14, % 104 Visited a theme park in last 12 months 17, % 89 Viewed movie (video-on-demand) in last 30 days 18, % 96 Viewed TV show (video-on-demand) in last 30 days 14, % 96 Watched any pay-per-view TV in last 12 months 10, % 89 Downloaded a movie over the Internet in last 30 days 9, % 99 Downloaded any individual song in last 6 months 20, % 94 Watched a movie online in the last 30 days 24, % 98 Watched a TV program online in last 30 days 17, % 95 Played a video/electronic game (console) in last 12 months 9, % 96 Played a video/electronic game (portable) in last 12 months 5, % 106 Financial (Adults) Have home mortgage (1st) 28, % 85 Used ATM/cash machine in last 12 months 54, % 97 Own any stock 7, % 100 Own U.S. savings bond 4, % 89 Own shares in mutual fund (stock) 6, % 93 Own shares in mutual fund (bonds) 4, % 97 Have interest checking account 30, % 97 Have non-interest checking account 29, % 94 Have savings account 58, % 95 Have 401K retirement savings plan 14, % 86 Own/used any credit/debit card in last 12 months 82, % 99 Avg monthly credit card expenditures: <$111 12, % 96 Avg monthly credit card expenditures: $111-$225 6, % 89 Avg monthly credit card expenditures: $226-$450 6, % 96 Avg monthly credit card expenditures: $451-$700 5, % 90 Avg monthly credit card expenditures: $701-$1,000 5, % 97 Avg monthly credit card expenditures: $1, , % 99 Did banking online in last 12 months 38, % 94 Did banking on mobile device in last 12 months 22, % 92 Paid bills online in last 12 months 49, % 96 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 10 of 12

42 Retail Market Potential Ring: 5 mile radius Longitude: Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Grocery (Adults) Used beef (fresh/frozen) in last 6 months 37, % 98 Used bread in last 6 months 51, % 100 Used chicken (fresh or frozen) in last 6 months 37, % 98 Used turkey (fresh or frozen) in last 6 months 8, % 102 Used fish/seafood (fresh or frozen) in last 6 months 30, % 101 Used fresh fruit/vegetables in last 6 months 47, % 98 Used fresh milk in last 6 months 46, % 99 Used organic food in last 6 months 12, % 100 Health (Adults) Exercise at home 2+ times per week 29, % 101 Exercise at club 2+ times per week 14, % 92 Visited a doctor in last 12 months 79, % 98 Used vitamin/dietary supplement in last 6 months 56, % 100 Home (Households) Any home improvement in last 12 months 13, % 90 Used housekeeper/maid/professional HH cleaning service in last 12 7, % 99 Purchased low ticket HH furnishings in last 12 months 8, % 94 Purchased big ticket HH furnishings in last 12 months 12, % 101 Bought any small kitchen appliance in last 12 months 11, % 96 Bought any large kitchen appliance in last 12 months 7, % 94 Insurance (Adults/Households) Currently carry life insurance 44, % 94 Carry medical/hospital/accident insurance 76, % 97 Carry homeowner insurance 45, % 91 Carry renter's insurance 10, % 121 Have auto insurance: 1 vehicle in household covered 19, % 114 Have auto insurance: 2 vehicles in household covered 14, % 93 Have auto insurance: 3+ vehicles in household covered 10, % 80 Pets (Households) Household owns any pet 26, % 89 Household owns any cat 10, % 81 Household owns any dog 20, % 89 Psychographics (Adults) Buying American is important to me 42, % 99 Usually buy items on credit rather than wait 14, % 105 Usually buy based on quality - not price 21, % 104 Price is usually more important than brand name 30, % 104 Usually use coupons for brands I buy often 19, % 103 Am interested in how to help the environment 20, % 107 Usually pay more for environ safe product 14, % 100 Usually value green products over convenience 13, % 110 Likely to buy a brand that supports a charity 36, % 100 Reading (Adults) Bought digital book in last 12 months 13, % 98 Bought hardcover book in last 12 months 20, % 98 Bought paperback book in last 12 month 29, % 97 Read any daily newspaper (paper version) 23, % 106 Read any digital newspaper in last 30 days 37, % 95 Read any magazine (paper/electronic version) in last 6 months 94, % 99 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 11 of 12

43 Retail Market Potential Ring: 5 mile radius Longitude: Expected Number of Percent of Product/Consumer Behavior Adults/HHs Adults/HHs MPI Restaurants (Adults) Went to family restaurant/steak house in last 6 months 79, % 100 Went to family restaurant/steak house: 4+ times a month 29, % 103 Went to fast food/drive-in restaurant in last 6 months 94, % 99 Went to fast food/drive-in restaurant 9+ times/mo 39, % 94 Fast food/drive-in last 6 months: eat in 37, % 97 Fast food/drive-in last 6 months: home delivery 8, % 97 Fast food/drive-in last 6 months: take-out/drive-thru 48, % 97 Fast food/drive-in last 6 months: take-out/walk-in 20, % 95 Television & Electronics (Adults/Households) Own any tablet 46, % 97 Own any e-reader 7, % 94 Own e-reader/tablet: ipad 26, % 94 HH has Internet connectable TV 13, % 92 Own any portable MP3 player 21, % 96 HH owns 1 TV 12, % 108 HH owns 2 TVs 15, % 102 HH owns 3 TVs 11, % 96 HH owns 4+ TVs 8, % 89 HH subscribes to cable TV 28, % 114 HH subscribes to fiber optic 3, % 73 HH owns portable GPS navigation device 13, % 95 HH purchased video game system in last 12 mos 3, % 81 HH owns any Internet video device for TV 10, % 94 Travel (Adults) Domestic travel in last 12 months 52, % 96 Took 3+ domestic non-business trips in last 12 months 12, % 102 Spent on domestic vacations in last 12 months: <$1,000 10, % 92 Spent on domestic vacations in last 12 months: $1,000-$1,499 5, % 92 Spent on domestic vacations in last 12 months: $1,500-$1,999 3, % 91 Spent on domestic vacations in last 12 months: $2,000-$2,999 4, % 102 Spent on domestic vacations in last 12 months: $3,000+ 6, % 101 Domestic travel in the 12 months: used general travel website 6, % 90 Foreign travel in last 3 years 25, % 93 Took 3+ foreign trips by plane in last 3 years 4, % 88 Spent on foreign vacations in last 12 months: <$1,000 4, % 97 Spent on foreign vacations in last 12 months: $1,000-$2,999 3, % 88 Spent on foreign vacations in last 12 months: $3,000+ 5, % 90 Foreign travel in last 3 years: used general travel website 5, % 89 Nights spent in hotel/motel in last 12 months: any 42, % 93 Took cruise of more than one day in last 3 years 8, % 96 Member of any frequent flyer program 18, % 99 Member of any hotel rewards program 17, % 100 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults or households in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 12 of 12

44 Restaurant Market Potential Ring: 1 mile radius Longitude: Demographic Summary Population 7,071 8,399 Population 18+ 5,279 6,258 Households 3,065 3,643 Median Household Income $43,718 $49,608 Expected Number of Product/Consumer Behavior Adults Percent MPI Went to family restaurant/steak house in last 6 mo 3, % 93 Went to family restaurant/steak house 4+ times/mo 1, % 90 Spent at family restaurant/30 days: <$ % 83 Spent at family restaurant/30 days: $ % 94 Spent at family restaurant/30 days: $ % 96 Spent at family restaurant/30 days: $ % 78 Spent at family restaurant/30 days: $ % 78 Family restaurant/steak house last 6 months: breakfast % 95 Family restaurant/steak house last 6 months: lunch 1, % 98 Family restaurant/steak house last 6 months: dinner 2, % 91 Family restaurant/steak house last 6 months: snack % 94 Family restaurant/steak house last 6 months: weekday 1, % 90 Family restaurant/steak house last 6 months: weekend 2, % 91 Fam rest/steak hse/6 months: Applebee`s 1, % 105 Fam rest/steak hse/6 months: Bob Evans Farms % 91 Fam rest/steak hse/6 months: Buffalo Wild Wings % 109 Fam rest/steak hse/6 months: California Pizza Kitchen % 61 Fam rest/steak hse/6 months: Carrabba`s Italian Grill % 101 Fam rest/steak hse/6 months: The Cheesecake Factory % 90 Fam rest/steak hse/6 months: Chili`s Grill & Bar % 97 Fam rest/steak hse/6 months: CiCi`s Pizza % 127 Fam rest/steak hse/6 months: Cracker Barrel % 79 Fam rest/steak hse/6 months: Denny`s % 127 Fam rest/steak hse/6 months: Golden Corral % 114 Fam rest/steak hse/6 months: IHOP % 112 Fam rest/steak hse/6 months: Logan`s Roadhouse % 74 Fam rest/steak hse/6 months: LongHorn Steakhouse % 74 Fam rest/steak hse/6 months: Olive Garden % 98 Fam rest/steak hse/6 months: Outback Steakhouse % 79 Fam rest/steak hse/6 months: Red Lobster % 105 Fam rest/steak hse/6 months: Red Robin % 82 Fam rest/steak hse/6 months: Ruby Tuesday % 103 Fam rest/steak hse/6 months: Texas Roadhouse % 89 Fam rest/steak hse/6 months: T.G.I. Friday`s % 88 Fam rest/steak hse/6 months: Waffle House % 97 Went to fast food/drive-in restaurant in last 6 mo 4, % 98 Went to fast food/drive-in restaurant 9+ times/mo 1, % 89 Spent at fast food restaurant/30 days: <$ % 97 Spent at fast food restaurant/30 days: $11-$ % 100 Spent at fast food restaurant/30 days: $21-$ % 90 Spent at fast food restaurant/30 days: $41-$ % 113 Spent at fast food restaurant/30 days: $51-$ % 95 Spent at fast food restaurant/30 days: $101-$ % 87 Spent at fast food restaurant/30 days: $ % 102 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 1 of 9

45 Restaurant Market Potential Ring: 1 mile radius Longitude: Expected Number of Product/Consumer Behavior Adults Percent MPI Fast food/drive-in last 6 months: eat in 1, % 92 Fast food/drive-in last 6 months: home delivery % 97 Fast food/drive-in last 6 months: take-out/drive-thru 2, % 101 Fast food/drive-in last 6 months: take-out/walk-in 1, % 104 Fast food/drive-in last 6 months: breakfast 1, % 93 Fast food/drive-in last 6 months: lunch 2, % 108 Fast food/drive-in last 6 months: dinner 2, % 91 Fast food/drive-in last 6 months: snack % 107 Fast food/drive-in last 6 months: weekday 3, % 96 Fast food/drive-in last 6 months: weekend 2, % 99 Fast food/drive-in last 6 months: A & W % 110 Fast food/drive-in last 6 months: Arby`s % 96 Fast food/drive-in last 6 months: Baskin-Robbins % 97 Fast food/drive-in last 6 months: Boston Market % 105 Fast food/drive-in last 6 months: Burger King 1, % 103 Fast food/drive-in last 6 months: Captain D`s % 62 Fast food/drive-in last 6 months: Carl`s Jr % 147 Fast food/drive-in last 6 months: Checkers % 111 Fast food/drive-in last 6 months: Chick-fil-A 1, % 90 Fast food/drive-in last 6 months: Chipotle Mex. Grill % 132 Fast food/drive-in last 6 months: Chuck E. Cheese`s % 140 Fast food/drive-in last 6 months: Church`s Fr. Chicken % 130 Fast food/drive-in last 6 months: Cold Stone Creamery % 95 Fast food/drive-in last 6 months: Dairy Queen % 89 Fast food/drive-in last 6 months: Del Taco % 145 Fast food/drive-in last 6 months: Domino`s Pizza % 125 Fast food/drive-in last 6 months: Dunkin` Donuts % 92 Went to Five Guys in last 6 months % 90 Fast food/drive-in last 6 months: Hardee`s % 71 Fast food/drive-in last 6 months: Jack in the Box % 153 Went to Jimmy John`s in last 6 months % 130 Fast food/drive-in last 6 months: KFC % 92 Fast food/drive-in last 6 months: Krispy Kreme % 132 Fast food/drive-in last 6 months: Little Caesars % 125 Fast food/drive-in last 6 months: Long John Silver`s % 88 Fast food/drive-in last 6 months: McDonald`s 2, % 98 Went to Panda Express in last 6 months % 112 Fast food/drive-in last 6 months: Panera Bread % 88 Fast food/drive-in last 6 months: Papa John`s % 103 Fast food/drive-in last 6 months: Papa Murphy`s % 130 Fast food/drive-in last 6 months: Pizza Hut 1, % 112 Fast food/drive-in last 6 months: Popeyes Chicken % 122 Fast food/drive-in last 6 months: Sonic Drive-In % 86 Fast food/drive-in last 6 months: Starbucks % 102 Fast food/drive-in last 6 months: Steak `n Shake % 86 Fast food/drive-in last 6 months: Subway 1, % 110 Fast food/drive-in last 6 months: Taco Bell 1, % 102 Fast food/drive-in last 6 months: Wendy`s 1, % 100 Fast food/drive-in last 6 months: Whataburger % 106 Fast food/drive-in last 6 months: White Castle % 77 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 2 of 9

46 Restaurant Market Potential Ring: 1 mile radius Longitude: Went to fine dining restaurant last month % 89 Went to fine dining restaurant 3+ times last month % 88 Spent at fine dining restaurant/30 days: <$ % 86 Spent at fine dining restaurant/30 days: $51-$ % 112 Spent at fine dining restaurant/30 days: $101-$ % 87 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 3 of 9

47 Restaurant Market Potential Ring: 3 mile radius Longitude: Demographic Summary Population 53,933 61,341 Population ,490 48,301 Households 22,237 25,424 Median Household Income $42,408 $48,548 Expected Number of Product/Consumer Behavior Adults Percent MPI Went to family restaurant/steak house in last 6 mo 31, % 97 Went to family restaurant/steak house 4+ times/mo 11, % 100 Spent at family restaurant/30 days: <$31 3, % 100 Spent at family restaurant/30 days: $ , % 104 Spent at family restaurant/30 days: $ , % 92 Spent at family restaurant/30 days: $ , % 88 Spent at family restaurant/30 days: $ % 92 Family restaurant/steak house last 6 months: breakfast 5, % 98 Family restaurant/steak house last 6 months: lunch 8, % 98 Family restaurant/steak house last 6 months: dinner 18, % 93 Family restaurant/steak house last 6 months: snack % 109 Family restaurant/steak house last 6 months: weekday 12, % 98 Family restaurant/steak house last 6 months: weekend 16, % 92 Fam rest/steak hse/6 months: Applebee`s 9, % 104 Fam rest/steak hse/6 months: Bob Evans Farms 1, % 112 Fam rest/steak hse/6 months: Buffalo Wild Wings 4, % 100 Fam rest/steak hse/6 months: California Pizza Kitchen % 69 Fam rest/steak hse/6 months: Carrabba`s Italian Grill 1, % 117 Fam rest/steak hse/6 months: The Cheesecake Factory 2, % 90 Fam rest/steak hse/6 months: Chili`s Grill & Bar 4, % 92 Fam rest/steak hse/6 months: CiCi`s Pizza 1, % 122 Fam rest/steak hse/6 months: Cracker Barrel 4, % 95 Fam rest/steak hse/6 months: Denny`s 4, % 110 Fam rest/steak hse/6 months: Golden Corral 3, % 121 Fam rest/steak hse/6 months: IHOP 4, % 111 Fam rest/steak hse/6 months: Logan`s Roadhouse 1, % 85 Fam rest/steak hse/6 months: LongHorn Steakhouse 2, % 97 Fam rest/steak hse/6 months: Olive Garden 6, % 96 Fam rest/steak hse/6 months: Outback Steakhouse 3, % 93 Fam rest/steak hse/6 months: Red Lobster 4, % 111 Fam rest/steak hse/6 months: Red Robin 2, % 91 Fam rest/steak hse/6 months: Ruby Tuesday 2, % 112 Fam rest/steak hse/6 months: Texas Roadhouse 4, % 96 Fam rest/steak hse/6 months: T.G.I. Friday`s 2, % 88 Fam rest/steak hse/6 months: Waffle House 2, % 117 Went to fast food/drive-in restaurant in last 6 mo 37, % 99 Went to fast food/drive-in restaurant 9+ times/mo 15, % 94 Spent at fast food restaurant/30 days: <$11 2, % 101 Spent at fast food restaurant/30 days: $11-$20 4, % 105 Spent at fast food restaurant/30 days: $21-$40 6, % 98 Spent at fast food restaurant/30 days: $41-$50 3, % 102 Spent at fast food restaurant/30 days: $51-$100 6, % 90 Spent at fast food restaurant/30 days: $101-$200 2, % 84 Spent at fast food restaurant/30 days: $201+ 1, % 94 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 4 of 9

48 Restaurant Market Potential Ring: 3 mile radius Longitude: Expected Number of Product/Consumer Behavior Adults Percent MPI Fast food/drive-in last 6 months: eat in 14, % 93 Fast food/drive-in last 6 months: home delivery 3, % 101 Fast food/drive-in last 6 months: take-out/drive-thru 19, % 98 Fast food/drive-in last 6 months: take-out/walk-in 9, % 101 Fast food/drive-in last 6 months: breakfast 13, % 95 Fast food/drive-in last 6 months: lunch 21, % 100 Fast food/drive-in last 6 months: dinner 18, % 95 Fast food/drive-in last 6 months: snack 5, % 102 Fast food/drive-in last 6 months: weekday 24, % 97 Fast food/drive-in last 6 months: weekend 19, % 97 Fast food/drive-in last 6 months: A & W 1, % 108 Fast food/drive-in last 6 months: Arby`s 6, % 96 Fast food/drive-in last 6 months: Baskin-Robbins 1, % 95 Fast food/drive-in last 6 months: Boston Market 1, % 109 Fast food/drive-in last 6 months: Burger King 12, % 102 Fast food/drive-in last 6 months: Captain D`s 1, % 95 Fast food/drive-in last 6 months: Carl`s Jr. 2, % 104 Fast food/drive-in last 6 months: Checkers 1, % 137 Fast food/drive-in last 6 months: Chick-fil-A 9, % 103 Fast food/drive-in last 6 months: Chipotle Mex. Grill 5, % 100 Fast food/drive-in last 6 months: Chuck E. Cheese`s 1, % 119 Fast food/drive-in last 6 months: Church`s Fr. Chicken 2, % 154 Fast food/drive-in last 6 months: Cold Stone Creamery 1, % 98 Fast food/drive-in last 6 months: Dairy Queen 5, % 92 Fast food/drive-in last 6 months: Del Taco 1, % 103 Fast food/drive-in last 6 months: Domino`s Pizza 5, % 109 Fast food/drive-in last 6 months: Dunkin` Donuts 4, % 83 Went to Five Guys in last 6 months 3, % 90 Fast food/drive-in last 6 months: Hardee`s 2, % 88 Fast food/drive-in last 6 months: Jack in the Box 3, % 115 Went to Jimmy John`s in last 6 months 2, % 113 Fast food/drive-in last 6 months: KFC 8, % 100 Fast food/drive-in last 6 months: Krispy Kreme 3, % 123 Fast food/drive-in last 6 months: Little Caesars 5, % 105 Fast food/drive-in last 6 months: Long John Silver`s 1, % 112 Fast food/drive-in last 6 months: McDonald`s 21, % 95 Went to Panda Express in last 6 months 3, % 96 Fast food/drive-in last 6 months: Panera Bread 4, % 87 Fast food/drive-in last 6 months: Papa John`s 3, % 106 Fast food/drive-in last 6 months: Papa Murphy`s 2, % 113 Fast food/drive-in last 6 months: Pizza Hut 7, % 104 Fast food/drive-in last 6 months: Popeyes Chicken 4, % 121 Fast food/drive-in last 6 months: Sonic Drive-In 4, % 99 Fast food/drive-in last 6 months: Starbucks 7, % 92 Fast food/drive-in last 6 months: Steak `n Shake 2, % 105 Fast food/drive-in last 6 months: Subway 11, % 101 Fast food/drive-in last 6 months: Taco Bell 12, % 101 Fast food/drive-in last 6 months: Wendy`s 10, % 102 Fast food/drive-in last 6 months: Whataburger 2, % 109 Fast food/drive-in last 6 months: White Castle 1, % 119 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 5 of 9

49 Restaurant Market Potential Ring: 3 mile radius Longitude: Went to fine dining restaurant last month 4, % 92 Went to fine dining restaurant 3+ times last month 1, % 95 Spent at fine dining restaurant/30 days: <$ % 102 Spent at fine dining restaurant/30 days: $51-$100 1, % 105 Spent at fine dining restaurant/30 days: $101-$ % 86 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 6 of 9

50 Restaurant Market Potential Ring: 5 mile radius Longitude: Demographic Summary Population 131, ,427 Population , ,222 Households 55,154 62,421 Median Household Income $46,973 $54,006 Expected Number of Product/Consumer Behavior Adults Percent MPI Went to family restaurant/steak house in last 6 mo 79, % 100 Went to family restaurant/steak house 4+ times/mo 29, % 103 Spent at family restaurant/30 days: <$31 9, % 100 Spent at family restaurant/30 days: $ , % 104 Spent at family restaurant/30 days: $ , % 95 Spent at family restaurant/30 days: $ , % 97 Spent at family restaurant/30 days: $ , % 94 Family restaurant/steak house last 6 months: breakfast 14, % 104 Family restaurant/steak house last 6 months: lunch 20, % 101 Family restaurant/steak house last 6 months: dinner 47, % 96 Family restaurant/steak house last 6 months: snack 2, % 109 Family restaurant/steak house last 6 months: weekday 33, % 103 Family restaurant/steak house last 6 months: weekend 42, % 95 Fam rest/steak hse/6 months: Applebee`s 24, % 101 Fam rest/steak hse/6 months: Bob Evans Farms 4, % 111 Fam rest/steak hse/6 months: Buffalo Wild Wings 10, % 97 Fam rest/steak hse/6 months: California Pizza Kitchen 2, % 82 Fam rest/steak hse/6 months: Carrabba`s Italian Grill 3, % 125 Fam rest/steak hse/6 months: The Cheesecake Factory 7, % 93 Fam rest/steak hse/6 months: Chili`s Grill & Bar 10, % 97 Fam rest/steak hse/6 months: CiCi`s Pizza 4, % 123 Fam rest/steak hse/6 months: Cracker Barrel 11, % 101 Fam rest/steak hse/6 months: Denny`s 9, % 106 Fam rest/steak hse/6 months: Golden Corral 8, % 114 Fam rest/steak hse/6 months: IHOP 11, % 107 Fam rest/steak hse/6 months: Logan`s Roadhouse 2, % 85 Fam rest/steak hse/6 months: LongHorn Steakhouse 5, % 104 Fam rest/steak hse/6 months: Olive Garden 17, % 101 Fam rest/steak hse/6 months: Outback Steakhouse 9, % 106 Fam rest/steak hse/6 months: Red Lobster 11, % 106 Fam rest/steak hse/6 months: Red Robin 7, % 98 Fam rest/steak hse/6 months: Ruby Tuesday 6, % 108 Fam rest/steak hse/6 months: Texas Roadhouse 10, % 101 Fam rest/steak hse/6 months: T.G.I. Friday`s 5, % 91 Fam rest/steak hse/6 months: Waffle House 6, % 107 Went to fast food/drive-in restaurant in last 6 mo 94, % 99 Went to fast food/drive-in restaurant 9+ times/mo 39, % 94 Spent at fast food restaurant/30 days: <$11 5, % 104 Spent at fast food restaurant/30 days: $11-$20 11, % 107 Spent at fast food restaurant/30 days: $21-$40 16, % 98 Spent at fast food restaurant/30 days: $41-$50 9, % 100 Spent at fast food restaurant/30 days: $51-$100 15, % 90 Spent at fast food restaurant/30 days: $101-$200 7, % 89 Spent at fast food restaurant/30 days: $201+ 3, % 102 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 7 of 9

51 Restaurant Market Potential Ring: 5 mile radius Longitude: Expected Number of Product/Consumer Behavior Adults Percent MPI Fast food/drive-in last 6 months: eat in 37, % 97 Fast food/drive-in last 6 months: home delivery 8, % 97 Fast food/drive-in last 6 months: take-out/drive-thru 48, % 97 Fast food/drive-in last 6 months: take-out/walk-in 20, % 95 Fast food/drive-in last 6 months: breakfast 35, % 97 Fast food/drive-in last 6 months: lunch 53, % 99 Fast food/drive-in last 6 months: dinner 46, % 96 Fast food/drive-in last 6 months: snack 13, % 100 Fast food/drive-in last 6 months: weekday 61, % 98 Fast food/drive-in last 6 months: weekend 48, % 96 Fast food/drive-in last 6 months: A & W 2, % 99 Fast food/drive-in last 6 months: Arby`s 16, % 95 Fast food/drive-in last 6 months: Baskin-Robbins 3, % 95 Fast food/drive-in last 6 months: Boston Market 3, % 102 Fast food/drive-in last 6 months: Burger King 30, % 99 Fast food/drive-in last 6 months: Captain D`s 3, % 89 Fast food/drive-in last 6 months: Carl`s Jr. 6, % 105 Fast food/drive-in last 6 months: Checkers 4, % 124 Fast food/drive-in last 6 months: Chick-fil-A 23, % 102 Fast food/drive-in last 6 months: Chipotle Mex. Grill 12, % 93 Fast food/drive-in last 6 months: Chuck E. Cheese`s 3, % 111 Fast food/drive-in last 6 months: Church`s Fr. Chicken 5, % 136 Fast food/drive-in last 6 months: Cold Stone Creamery 3, % 97 Fast food/drive-in last 6 months: Dairy Queen 15, % 93 Fast food/drive-in last 6 months: Del Taco 3, % 97 Fast food/drive-in last 6 months: Domino`s Pizza 13, % 101 Fast food/drive-in last 6 months: Dunkin` Donuts 12, % 85 Went to Five Guys in last 6 months 9, % 93 Fast food/drive-in last 6 months: Hardee`s 5, % 85 Fast food/drive-in last 6 months: Jack in the Box 9, % 115 Went to Jimmy John`s in last 6 months 6, % 109 Fast food/drive-in last 6 months: KFC 20, % 96 Fast food/drive-in last 6 months: Krispy Kreme 6, % 114 Fast food/drive-in last 6 months: Little Caesars 14, % 103 Fast food/drive-in last 6 months: Long John Silver`s 3, % 104 Fast food/drive-in last 6 months: McDonald`s 53, % 96 Went to Panda Express in last 6 months 9, % 99 Fast food/drive-in last 6 months: Panera Bread 12, % 93 Fast food/drive-in last 6 months: Papa John`s 9, % 103 Fast food/drive-in last 6 months: Papa Murphy`s 6, % 113 Fast food/drive-in last 6 months: Pizza Hut 17, % 98 Fast food/drive-in last 6 months: Popeyes Chicken 10, % 107 Fast food/drive-in last 6 months: Sonic Drive-In 12, % 100 Fast food/drive-in last 6 months: Starbucks 17, % 93 Fast food/drive-in last 6 months: Steak `n Shake 6, % 106 Fast food/drive-in last 6 months: Subway 28, % 99 Fast food/drive-in last 6 months: Taco Bell 30, % 99 Fast food/drive-in last 6 months: Wendy`s 26, % 98 Fast food/drive-in last 6 months: Whataburger 5, % 118 Fast food/drive-in last 6 months: White Castle 3, % 111 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 8 of 9

52 Restaurant Market Potential Ring: 5 mile radius Longitude: Went to fine dining restaurant last month 11, % 100 Went to fine dining restaurant 3+ times last month 3, % 100 Spent at fine dining restaurant/30 days: <$51 1, % 108 Spent at fine dining restaurant/30 days: $51-$100 3, % 105 Spent at fine dining restaurant/30 days: $101-$200 2, % 95 Data Note: An MPI (Market Potential Index) measures the relative likelihood of the adults in the specified trade area to exhibit certain consumer behavior or purchasing patterns compared to the U.S. An MPI of 100 represents the U.S. average. Source: These data are based upon national propensities to use various products and services, applied to local demographic composition. Usage data were collected by GfK MRI in a nationally representative survey of U.S. households. Esri forecasts for 2018 and Esri Page 9 of 9

53 Medical Expenditures Ring: 1 mile radius Longitude: Demographic Summary Population 7,071 8,399 Households 3,065 3,643 Families 1,865 2,195 Median Household Income $43,718 $49,608 Males per 100 Females Population By Age Population <5 Years 7.8% 8.0% Population 65+ Years 13.3% 13.6% Median Age Spending Potential Average Amount Index Spent Total Health Care 71 $4, $12,452,447 Medical Care 70 $1, $4,211,933 Physician Services 71 $ $552,343 Dental Services 68 $ $778,352 Eyecare Services 71 $43.19 $132,391 Lab Tests, X-Rays 69 $41.53 $127,292 Hospital Room and Hospital Services 73 $ $383,974 Convalescent or Nursing Home Care 66 $20.95 $64,223 Other Medical services (1) 79 $86.58 $265,381 Nonprescription Drugs 75 $99.64 $305,405 Prescription Drugs 69 $ $763,153 Nonprescription Vitamins 72 $51.05 $156,470 Medicare Prescription Drug Premium 68 $87.00 $266,667 Eyeglasses and Contact Lenses 72 $66.60 $204,119 Hearing Aids 66 $18.75 $57,473 Medical Equipment for General Use 77 $4.58 $14,044 Other Medical Supplies/Equipment (2) 77 $45.89 $140,645 Health Insurance 71 $2, $8,240,515 Blue Cross/Blue Shield 71 $ $2,770,048 Fee for Service Health Plan 73 $ $1,652,618 HMO 76 $ $1,884,314 Medicare Payments 66 $ $1,245,447 Long Term Care Insurance 68 $71.33 $218,637 Other Health Insurance (3) 63 $ $469,452 Data Note: The Spending Potential Index (SPI) is household-based, and represents the amount spent for a product or service relative to a national average of 100. Detail may not sum to totals due to rounding. (1) Other Medical Supplies includes Services by Medical Professionals other than Physicians, Outpatient Hospital Care, Blood Donation, and Ambulance, Dialysis, Emergency Room, Oxygen or Rescue Services. (2) Other Medical/Equipment includes Topicals, Dressings, Supportive and Convalescent Medical Equipment, Rental of Medical Equipment for General Use, and Rental of Supportive and Convalescent Medical Equipment. (3) Other Health Insurance includes Medicare Supplements and Other Health Insurance excluding Blue Cross/Blue Shield. Source: Esri forecasts for 2018 and 2023; Consumer Spending data are derived from the 2015 and 2016 Consumer Expenditure Surveys, Bureau of Labor Statistics Esri Page 1 of 3

54 Medical Expenditures Ring: 3 mile radius Longitude: Demographic Summary Population 53,933 61,341 Households 22,237 25,424 Families 12,727 14,473 Median Household Income $42,408 $48,548 Males per 100 Females Population By Age Population <5 Years 6.5% 6.6% Population 65+ Years 17.3% 18.6% Median Age Spending Potential Average Amount Index Spent Total Health Care 76 $4, $97,002,432 Medical Care 76 $1, $33,088,593 Physician Services 75 $ $4,194,165 Dental Services 72 $ $6,018,302 Eyecare Services 76 $46.69 $1,038,152 Lab Tests, X-Rays 73 $43.79 $973,825 Hospital Room and Hospital Services 76 $ $2,887,279 Convalescent or Nursing Home Care 88 $28.05 $623,793 Other Medical services (1) 83 $90.75 $2,017,907 Nonprescription Drugs 80 $ $2,362,850 Prescription Drugs 77 $ $6,201,960 Nonprescription Vitamins 77 $54.50 $1,211,987 Medicare Prescription Drug Premium 81 $ $2,309,857 Eyeglasses and Contact Lenses 76 $70.21 $1,561,245 Hearing Aids 81 $23.25 $516,947 Medical Equipment for General Use 79 $4.72 $104,934 Other Medical Supplies/Equipment (2) 81 $47.91 $1,065,390 Health Insurance 76 $2, $63,913,839 Blue Cross/Blue Shield 75 $ $21,277,270 Fee for Service Health Plan 76 $ $12,465,378 HMO 76 $ $13,587,900 Medicare Payments 79 $ $10,726,180 Long Term Care Insurance 79 $83.16 $1,849,234 Other Health Insurance (3) 74 $ $4,007,877 Data Note: The Spending Potential Index (SPI) is household-based, and represents the amount spent for a product or service relative to a national average of 100. Detail may not sum to totals due to rounding. (1) Other Medical Supplies includes Services by Medical Professionals other than Physicians, Outpatient Hospital Care, Blood Donation, and Ambulance, Dialysis, Emergency Room, Oxygen or Rescue Services. (2) Other Medical/Equipment includes Topicals, Dressings, Supportive and Convalescent Medical Equipment, Rental of Medical Equipment for General Use, and Rental of Supportive and Convalescent Medical Equipment. (3) Other Health Insurance includes Medicare Supplements and Other Health Insurance excluding Blue Cross/Blue Shield. Source: Esri forecasts for 2018 and 2023; Consumer Spending data are derived from the 2015 and 2016 Consumer Expenditure Surveys, Bureau of Labor Statistics Esri Page 2 of 3

55 Medical Expenditures Ring: 5 mile radius Longitude: Demographic Summary Population 131, ,427 Households 55,154 62,421 Families 31,797 35,828 Median Household Income $46,973 $54,006 Males per 100 Females Population By Age Population <5 Years 5.9% 6.0% Population 65+ Years 21.0% 23.0% Median Age Spending Potential Average Amount Index Spent Total Health Care 88 $5, $277,867,212 Medical Care 89 $1, $95,226,810 Physician Services 85 $ $11,870,664 Dental Services 86 $ $17,672,349 Eyecare Services 89 $54.28 $2,993,695 Lab Tests, X-Rays 84 $50.51 $2,785,883 Hospital Room and Hospital Services 86 $ $8,137,539 Convalescent or Nursing Home Care 101 $32.18 $1,775,085 Other Medical services (1) 95 $ $5,722,965 Nonprescription Drugs 91 $ $6,688,900 Prescription Drugs 90 $ $17,909,537 Nonprescription Vitamins 88 $62.60 $3,452,909 Medicare Prescription Drug Premium 97 $ $6,852,323 Eyeglasses and Contact Lenses 87 $80.54 $4,442,060 Hearing Aids 101 $28.80 $1,588,263 Medical Equipment for General Use 97 $5.74 $316,706 Other Medical Supplies/Equipment (2) 92 $54.72 $3,017,932 Health Insurance 88 $3, $182,640,402 Blue Cross/Blue Shield 86 $1, $59,966,213 Fee for Service Health Plan 86 $ $34,986,244 HMO 86 $ $38,375,927 Medicare Payments 94 $ $31,906,034 Long Term Care Insurance 95 $ $5,540,872 Other Health Insurance (3) 88 $ $11,865,112 Data Note: The Spending Potential Index (SPI) is household-based, and represents the amount spent for a product or service relative to a national average of 100. Detail may not sum to totals due to rounding. (1) Other Medical Supplies includes Services by Medical Professionals other than Physicians, Outpatient Hospital Care, Blood Donation, and Ambulance, Dialysis, Emergency Room, Oxygen or Rescue Services. (2) Other Medical/Equipment includes Topicals, Dressings, Supportive and Convalescent Medical Equipment, Rental of Medical Equipment for General Use, and Rental of Supportive and Convalescent Medical Equipment. (3) Other Health Insurance includes Medicare Supplements and Other Health Insurance excluding Blue Cross/Blue Shield. Source: Esri forecasts for 2018 and 2023; Consumer Spending data are derived from the 2015 and 2016 Consumer Expenditure Surveys, Bureau of Labor Statistics Esri Page 3 of 3

56 Population Executive Summary Rings: 1, 3, 5 mile radii Longitude: mile 3 miles 5 miles 2000 Population 2,035 32,481 92, Population 5,109 43, , Population 7,071 53, , Population 8,399 61, , Annual Rate 9.64% 3.04% 1.56% Annual Rate 4.02% 2.55% 2.47% Annual Rate 3.50% 2.61% 2.46% 2018 Male Population 47.4% 48.9% 49.2% 2018 Female Population 52.6% 51.1% 50.8% 2018 Median Age In the identified area, the current year population is 131,425. In 2010, the Census count in the area was 107,497. The rate of change since 2010 was 2.47% annually. The five-year projection for the population in the area is 148,427 representing a change of 2.46% annually from 2018 to Currently, the population is 49.2% male and 50.8% female. Median Age The median age in this area is 33.4, compared to U.S. median age of Race and Ethnicity 2018 White Alone 58.6% 59.6% 65.7% 2018 Black Alone 24.8% 27.0% 20.3% 2018 American Indian/Alaska Native Alone 0.4% 0.4% 0.5% 2018 Asian Alone 2.7% 2.6% 2.3% 2018 Pacific Islander Alone 0.1% 0.1% 0.1% 2018 Other Race 9.0% 6.9% 8.1% 2018 Two or More Races 4.5% 3.4% 3.0% 2018 Hispanic Origin (Any Race) 25.4% 20.1% 21.6% Persons of Hispanic origin represent 21.6% of the population in the identified area compared to 18.3% of the U.S. population. Persons of Hispanic Origin may be of any race. The Diversity Index, which measures the probability that two people from the same area will be from different race/ethnic groups, is 68.6 in the identified area, compared to 64.3 for the U.S. as a whole. Households 2000 Households ,109 37, Households 2,199 17,887 44, Total Households 3,065 22,237 55, Total Households 3,643 25,424 62, Annual Rate 10.23% 3.16% 1.80% Annual Rate 4.11% 2.67% 2.50% Annual Rate 3.52% 2.71% 2.51% 2018 Average Household Size The household count in this area has changed from 44,987 in 2010 to 55,154 in the current year, a change of 2.50% annually. The five-year projection of households is 62,421, a change of 2.51% annually from the current year total. Average household size is currently 2.32, compared to 2.31 in the year The number of families in the current year is 31,797 in the specified area. Data Note: Income is expressed in current dollars Source: U.S. Census Bureau, Census 2010 Summary File 1. Esri forecasts for 2018 and Esri converted Census 2000 data into 2010 geography Esri Page 1 of 2

57 Median Household Income Executive Summary Rings: 1, 3, 5 mile radii Longitude: mile 3 miles 5 miles 2018 Median Household Income $43,718 $42,408 $46, Median Household Income $49,608 $48,548 $54, Annual Rate 2.56% 2.74% 2.83% Average Household Income 2018 Average Household Income $62,767 $64,317 $72, Average Household Income $72,930 $76,166 $86, Annual Rate 3.05% 3.44% 3.62% Per Capita Income 2018 Per Capita Income $26,169 $27,424 $31, Per Capita Income $30,292 $32,318 $37, Annual Rate 2.97% 3.34% 3.54% Households by Income Current median household income is $46,973 in the area, compared to $58,100 for all U.S. households. Median household income is projected to be $54,006 in five years, compared to $65,727 for all U.S. households Current average household income is $72,741 in this area, compared to $83,694 for all U.S. households. Average household income is projected to be $86,878 in five years, compared to $96,109 for all U.S. households Current per capita income is $31,257 in the area, compared to the U.S. per capita income of $31,950. The per capita income is projected to be $37,203 in five years, compared to $36,530 for all U.S. households Housing 2000 Total Housing Units 1,024 15,184 43, Owner Occupied Housing Units 150 5,161 19, Renter Occupied Housing Units 680 7,948 17, Vacant Housing Units 194 2,075 5, Total Housing Units 3,602 24,503 60, Owner Occupied Housing Units 748 7,826 23, Renter Occupied Housing Units 1,451 10,061 21, Vacant Housing Units 1,403 6,616 15, Total Housing Units 4,346 30,257 74, Owner Occupied Housing Units 1,371 10,283 29, Renter Occupied Housing Units 1,694 11,953 25, Vacant Housing Units 1,281 8,020 19, Total Housing Units 4,900 34,103 83, Owner Occupied Housing Units 1,732 12,327 34, Renter Occupied Housing Units 1,912 13,097 27, Vacant Housing Units 1,257 8,679 20,977 Currently, 39.4% of the 74,345 housing units in the area are owner occupied; 34.8%, renter occupied; and 25.8% are vacant. Currently, in the U.S., 56.0% of the housing units in the area are owner occupied; 32.8% are renter occupied; and 11.2% are vacant. In 2010, there were 60,773 housing units in the area % owner occupied, 35.2% renter occupied, and 26.0% vacant. The annual rate of change in housing units since 2010 is 9.37%. Median home value in the area is $212,258, compared to a median home value of $218,492 for the U.S. In five years, median value is projected to change by 3.29% annually to $249,557. Data Note: Income is expressed in current dollars Source: U.S. Census Bureau, Census 2010 Summary File 1. Esri forecasts for 2018 and Esri converted Census 2000 data into 2010 geography Esri Page 2 of 2

58 Lee scores 17.3 percent gain in tourist tax collections Page 1 of 3 4/12/2015 Lee scores 17.3 percent gain in tourist tax collections LAURA RUANE, LRUANE@NEWS-PRESS.COM 4:45 p.m. EDT April 10, 2015 Preliminary bed tax collections in Lee County for February topped $4.8 million, for a 17.3 percent increase over February That pales in comparison to the 36.9 percent year-over-year increase Lee County Visitor & Convention Bureau reported for January. (Photo: File photo) However, it is more in line with recent bed tax gains for such recent months as December, when preliminary collections were 18.8 percent greater than the final tally for December "In a business, any one of us would love to have 17 percent growth," said County Commissioner Brian Hamman. He presided at Friday's county Tourist Development Council meeting Friday in downtown Fort Myers. Bureau chief Tamara Pigott said the year-over-year gain means "about $14 million extra was spent with our hoteliers" in February than that month last year. The increase largely reflects higher room rates charged in response to strong traveler demand. "That's good news for our community and the people who work in the tourism and hospitality industry," Pigott said. Lee County charges a 5 percent tax on accommodations rented for six months or less. Collier County previously reported an 11.6 percent gain in bed tax collections for February. Collier charges a 4 percent tax. In Lee, bed tax dollars are distributed as follows: 53.6 percent for advertising and promotions; 26.4 percent for beach and shoreline improvements and maintenance; and 20 percent for debt payments for the Lee County Sports Complex and JetBlue Park, as well as major maintenance for both the City of Palms Park and the Lee County Sports Complex. Connect with this (Twitter) and LauraPatrickRuane (Facebook). Read or Share this story: