46 Acres - Fronting Interstate 81 & Hopewell Rd. Prime Location - Zoned Industrial Potential for 2 Building Complexes
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1 46 Acre Land Opportunity - I-81 Frontage Design Concept: 2 Potential Building Parcels Prepared on 46 Acres - Fronting Interstate 81 & Hopewell Rd. Prime Location - Zoned Industrial Potential for 2 Building Complexes Prepared By Syd Machat, CCIM sydneymachat@gmail.com Page 1
2 I-81 & Hopewell Rd. - DUAL FRONTAGE - 46 Acres! 1 Hopewell Rd, Hagerstown, MD Listing ID: Status: Active Property Type: Vacant Land For Sale Possible Uses: Industrial Gross Land Area: Acres Sale Price: See Agent Sale Terms: Undisclosed Overview/Comments Acres I-81 FRONTAGE! - UNIMPROVED DEVELOPMENT LAND - INDUSTRIAL GENERAL (IG) ZONING. Fronting I-81 near the highway's major Western Maryland intersection at I-70. Backs up to Hopewell Rd. local industrial corridor. Easy road access to Baltimore-Washington Metro Areas via I-70 and I-270. Frontage on Hopewell Road where major industrial production facilities are located, including: Purina, Pave Stone, Bowman Warehouse-Distribution Center, & Tractor Supply. Design concept plan shows 180,000 SF projected building facing I-81, and a 50,000 SF building fronting Hopewell Road. - Potentially sub-dividable into two tracts, subject to Planning Commission approvals. Located within Hagerstown's fastgrowing "Hopewell Valley Industrial Area". Join Fed Ex, Staples Distribution Center, Home Depot, AC&T, Lowes, Lennox and other local & national firms. Rendering of Site Plan(s) available depicting site & projected buildings. Call for details. More Information Online QR Code Scan this image with your mobile device: General Information Possible Uses: Sale Terms: Industrial Undisclosed Location Address: 1 Hopewell Rd, Hagerstown, MD County: Washington MSA: Hagerstown-Martinsburg Page 2
3 Property Images MLD - mowed roadside MLD S. on Hopewell MLD - S on Hopewell Property Contacts Syd Machat, CCIM Sydney Machat, Broker [M] [O] sydneymachat@gmail.com Page 3
4 Online Marketing for 1 Hopewell Rd Hagerstown, MD For maximum exposure, we promote listings on as many websites as possible, including the wide variety of local, regional, and national sites below. Promoted on these Websites Catylist.com Catylist's national commercial real estate search engine, drawing thousands of visitors daily. Twitter A massive online news and social networking service. Facebook The world's largest social network. Yahoo One of the world's largest search engines. Page 4
5 Market Summary September, million SF Commercial Space For Sale 357,260 Acres Land & Farm For Sale million SF Commercial Space For Lease $38.7 billion Total Sale Price Current Statistics Property Type Listings Asking Lease Rate Asking Sale Price Below List Days on Market Total Available Industrial 7,650 $4.45 PSF $72.52 PSF 12.5% million SF Office 23,099 $15.57 PSF $96.36 PSF 15.1% million SF Retail-Commercial 14,596 $13.57 PSF $85.85 PSF 17.9% million SF Shopping Center 4,086 $13.05 PSF $82.26 PSF 10.0% million SF Vacant Land 19,395 $11.21 PSF $1.18 PSF 21.6% billion SF Farm/Ranch $0.24 PSF 16.6% billion SF Hospitality $7.35 PSF 21.8% million SF Multi-Family $68.78 PSF 13.5% million SF Frequency: Statistics are compiled at the beginning of each month. Reliability: The quality of the data will vary based on many factors, including whether or not your CIE verifies the data on an ongoing basis. Statistics based on larger numbers of listings (as indicated by the "Listings" column) are generally more trustworthy. Accuracy: We make all attempts to normalize these stats, but make no guarantees about their accuracy. Outliers (extremely high or low values) are excluded from calculations. Counts: Listing and Transaction counts reflect the number of records with price and size information within valid ranges. The actual counts of all records in the CIE are larger. Weighted Averages: Price averages are weighed using the square footage available. Direct: Lease statistics are direct (exclude subleases). Lease Types: Because of discrepancies in how lease types (NNN, Gross, etc) are reported, we ignore differences in type all types are folded together into the lease rate stats. Below List: Reflects the average percent difference between the original listed price and the final transaction price. Net Absorption: We calculate absorption using a 90 day period. Locations: We only allow filters for locations with at least 100 active listings. Asking vs. Reported: "Asking" prices are based on active listings for the chosen locale, while "Reported" prices are calculated using completed transactions as reported by CIE members. Disclaimer: All statistics on this page have been gathered from user-loaded listings and userreported transactions. We have not verified accuracy and make no guarantees. By using the information provided on this page, the user acknowledges that the data may contain errors or other nonconformities. You and/or your client should diligently and independently verify the specifics of the information that you are using. Statistics courtesy of: Catylist Page 5
6 Demographics, Labor/Workforce, and Consumer Expenditures 1 Hopewell Rd, Hagerstown, MD Disclaimer: While we believe this information (via GeoLytics) to be reliable, we have not checked its accuracy and make no guarantee as to its validity. By using the information provided on this page, the user acknowledges that the data may contain errors or other nonconformities. You and/or your client should diligently and independently verify the specifics of the information that you are using. Population 2020 Projection 2,645 56, , Estimate 2,369 51, , Census 2,191 48,139 92,449 Growth % 9.33% 8.62% Growth % 6.89% 8.49% Population (Male) 2020 Projection 1,320 26,852 52, Estimate 1,179 24,464 48, Census 1,171 23,085 44,611 Growth % 9.76% 8.71% Growth % 5.97% 7.94% Page 6
7 Population (Female) 2020 Projection 1,325 29,408 56, Estimate 1,190 26,993 52, Census 1,020 25,054 47,838 Growth % 8.95% 8.55% Growth % 7.74% 9.01% Population by Age (2015 Estimate) Age 0 to ,682 6,849 Age 5 to ,934 7,435 Age 10 to ,658 6,976 Age 15 to ,459 6,691 Age 20 to ,255 6,384 Age 25 to ,069 5,973 Age 30 to ,028 5,645 Age 35 to ,075 5,609 Age 40 to ,149 5,847 Age 45 to ,265 6,232 Age 50 to ,240 6,469 Age 55 to ,105 6,305 Age 60 to ,797 5,737 Age 65 and over 347 8,741 18,148 Total Population 2,369 51, ,300 Median Age Age 0 to 5 Age 5 to 10 Age 10 to 15 Age 15 to 20 Age 20 to 25 Age 25 to 30 Age 30 to 35 Age 35 to 40 Age 40 to 45 Age 45 to 50 Age 50 to 55 Age 55 to 60 Age 60 to 65 Age 65 and over 7% 7% 7% 8% 8% 7% 7% 7% 7% 7% 7% 7% 7% 6% 6% 7% 6% 6% 7% 6% 6% 7% 6% 6% 6% 6% 6% 6% 6% 6% 6% 6% 6% 6% 6% 6% 5% 5% 6% 15% 17% 18% Median Age (Male) 2010 Census Median Age (Female) 2010 Census High School Graduates Age 25+ by Educational Attainment (2015 Estimate) High School Graduate (or GED) ,104 25,222 Some College, No Degree 239 6,103 11,837 Associate or Bachelor's Degree 41 2,095 4,237 Master's Degree ,899 Professional School Degree Doctorate Degree Total High School Graduates Age ,577 45,243 High School Graduate (or GED) Some College, No Degree Associate or Bachelor's Degree Master's Degree Professional School Degree Doctorate Degree 64% 58% 56% 27% 27% 26% 5% 9% 9% 3% 4% 6% 0% 1% 2% 1% 1% 1% Page 7
8 Households 2020 Projection ,055 43, Estimate ,149 40, Census ,876 37,429 Growth % 9.01% 8.43% Growth % 6.4% 8.05% Population in Households 2010 Census 2,191 48,139 92,449 Average Household Size 2020 Projection Estimate Census Growth % 0% 0% Growth % 0.75% 0.49% Page 8
9 Households by Household Type and Size and Presence of Children (2015 Estimate) Family Households ,799 25,933 Married-couple family 245 8,217 18,411 With own 102 2,987 6,980 No own 143 5,230 11,431 Male Householder: 37 1,104 1,954 no wife present With own ,106 No own Female Householder: no husband 231 3,478 5,568 present With own 176 2,250 3,475 No own 55 1,228 2,093 Nonfamily Households 209 8,350 14,510 1 Person households 172 6,896 11, Unrelated people 37 1,454 2,680 Total Households ,149 40,443 Family Households Married-couple family With own No own Male Householder: no wife present With own No own Female Householder: no husband present With own No own Nonfamily Households 1 Person households 2+ Unrelated people 71% 61% 64% 34% 39% 46% 14% 14% 17% 20% 25% 28% 5% 5% 5% 3% 3% 3% 2% 2% 2% 32% 16% 14% 24% 11% 9% 8% 6% 5% 29% 39% 36% 24% 33% 29% 5% 7% 7% Page 9
10 Households by Household Income (2015 Estimate) Less than $25, ,485 9,817 $25,000 to $49, ,164 10,816 $50,000 to $74, ,821 7,868 $75,000 to $99, ,254 5,351 $100,000 to $124, ,316 3,166 $125,000 to $149, ,616 $150,000 to $199, ,110 $200,000 or more Total Households ,149 40,443 Average Household Income $44, $52, $61, Median Household Income $31, $43, $53, Less than $25,000 $25,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $124,999 $125,000 to $149,999 $150,000 to $199,999 $200,000 or more 40% 31% 24% 26% 29% 27% 14% 18% 19% 10% 11% 13% 7% 6% 8% 2% 2% 4% 0% 2% 3% 2% 1% 2% Households by Household Income (2020 Projection) Less than $25, ,147 10,734 $25,000 to $49, ,714 11,722 $50,000 to $74, ,122 8,486 $75,000 to $99, ,453 5,805 $100,000 to $124, ,419 3,410 $125,000 to $149, ,746 $150,000 to $199, ,197 $200,000 or more Total Households ,055 43,852 Average Household Income $43, $52, $61, Median Household Income $31, $43, $53, Less than $25,000 $25,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $124,999 $125,000 to $149,999 $150,000 to $199,999 $200,000 or more 40% 31% 24% 27% 29% 27% 14% 18% 19% 10% 11% 13% 7% 6% 8% 2% 2% 4% 0% 2% 3% 2% 1% 2% Per Capita Income 2015 Estimate $14, $21, $24, Unemployment Rate 2015 Estimate 20.25% 11.15% 9.28% Page 10 Copyright Catylist. All Rights Reserved. The information presented herein is provided as is, without warranty of any kind. Neither Catylist nor Catylist Real Estate Software, Inc. assume any
11 Population Age 16+ By Employment Status (2015 Estimate) Labor Force ,280 52,537 Civilian, Employed ,240 49,070 Civilian, Unemployed 115 2,040 3,467 Not in Labor Force 1,186 20,461 39,672 Total Population Age 16+ 2,092 46,741 92,209 Labor Force Civilian, Employed Civilian, Unemployed Not in Labor Force 43% 56% 57% 38% 52% 53% 5% 4% 4% 57% 44% 43% Employed Civilian Population Age 16+ by Industry (2015 Estimate) Agriculture, forestry, fishing and hunting, mining and 32 2,028 4,423 construction Manufacturing 102 2,334 4,692 Wholesale & retail trade 197 5,401 9,493 Transportation and warehousing, and 74 1,500 3,148 utilities Information ,502 Finance, insurance, real estate and 0 1,413 3,213 rental and leasing Professional, scientific, and 88 1,776 4,772 technical services Educational, health and social services 165 4,418 9,779 Arts, entertainment, recreation, accommodation and 26 2,331 3,839 food services Other services (except public 49 2,012 3,842 administration) Public Administration 0 1,240 2,991 Total Employed Civilian Population Age ,236 51,694 Agriculture, forestry, fishing and hunting, mining and construction Manufacturing Wholesale & retail trade Transportation and warehousing, and utilities Information Finance, insurance, real estate and rental and leasing Professional, scientific, and technical services Educational, health and social services Arts, entertainment, recreation, accommodation and food services Other services (except public administration) Public Administration 4% 8% 9% 13% 9% 9% 26% 21% 18% 10% 6% 6% 3% 3% 3% 0% 6% 6% 12% 7% 9% 22% 18% 19% 3% 9% 7% 6% 8% 7% 0% 5% 6% Housing Units by Tenure (2015 Estimate) Vacant Housing Units 115 3,004 5,376 Occupied Housing Units ,149 40,443 Owner- Occupied ,262 24,561 Renter- Occupied 411 9,887 15,882 Total Housing Units ,153 45,819 Vacant Housing Units Occupied Housing Units Owner- Occupied Renter- Occupied 14% 12% 12% 86% 88% 88% 37% 47% 54% 49% 41% 35% Page 11 Copyright Catylist. All Rights Reserved. The information presented herein is provided as is, without warranty of any kind. Neither Catylist nor Catylist Real Estate Software, Inc. assume any
12 Syd Machat, CCIM Sydney Machat, Broker Professional Profile Agent/Broker Working in Commercial Real Estate Since 1966 Realtor Emeritus - NAR. CCIM - CCIM Institute, Certified Commercial Investment Member MBA - Real Estate, American U., Washington, DC. ARELLO - Member Emeritus Expertise Specializations: Brokerage: Commercial Investment Buyer Representation Leasing Site Selection Valuation Property Types: Industrial Land Office Market Areas Maryland: Frederick Maryland: Hagerstown West Virginia: Berkley Co. West Virginia: Jefferson Co. West Virginia: Morgan County Mid Atlantic Credentials Designations & Certifications: CCIM Professional Licenses: Real Estate Brokerage Real Estate Licenses: Licensed to practice Real Estate in Maryland Licensed to practice Real Estate in West Virginia Licensed to practice Real Estate in Pennsylvania Sydney Machat, Broker Broker Shepherdstown Pike P.O. Box 247 Keedysville, MD [Office] [Mobile] sydneymachat@gmail.com Education Masters, A.B. Dickinson College 1962 MBA American University, 1971 Page 12 Copyright Catylist. All Rights Reserved. The information presented herein is provided as is, without warranty of any kind. Neither Catylist nor Catylist Real Estate Software, Inc. assume any
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