Mobile Scanning and
Contact Information
Business Description
Mobile Scanning and is located in Santa Rosa, California, and was founded in 2016. At this location, Mobile Scanning and employs approximately 2 people. Annual sales for Mobile Scanning and are around USD 83,534.
Employees: 2
Revenue: USD 83,534
Founded: 2016
Questions & Answers
Q1
How long has Mobile Scanning and been in business?
Mobile Scanning and has been in business for around 10 years.Q2
What is the phone number for Mobile Scanning and?
The phone number for Mobile Scanning and is (707) 596-8606.Q3
How big is Mobile Scanning and?
Mobile Scanning and generates approximately USD 83,534 in revenue annually, and employs around 2 people at this location.Q4
Where is Mobile Scanning and located?
Mobile Scanning and is located at 703 2nd St, Santa Rosa, California, 95404.Q5
Is there a primary contact for Mobile Scanning and?
You can contact Mobile Scanning and by phone using number (707) 596-8606.Q6
What is the web address (URL) for Mobile Scanning and?
The website for Mobile Scanning and is www.mobile-copy.com.Q7
What are the annual sales for Mobile Scanning and?
Mobile Scanning and has annual sales of approximately USD 83,534.Q8
How many people are employeed at Mobile Scanning and?
Mobile Scanning and has around 2 employees at this location.Additional Businesses at this Address
703 2nd St Santa Rosa, California, 95404
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Businesses in Zip Code 95404
Businesses in 95404: 11,219
Population: 40,326
Categories
Medical: 20%
Professional Services: 18%
Shopping: 11%
Other: 51%
Price
Moderate: 62%
Inexpensive: 24%
Expensive: 12%
Very Expensive: 2%
Other: 0%
Area Codes
707: 98%
Other: 2%
Neighborhoods
Cherry Street Historic District Neighborhood: 8%
Junior College Neighborhood Association: 31%
Memorial Hospital Neighborhood: 25%
SOS: 7%
Other: 29%
Stats and Demographics for Zip Code 95404
Race
White: 73%
Hispanic or Latino: 15%
Asian: 2%
Black Or African American: 1%
American Indian Or Alaskan Native: 1%
Native Hawaiian & Other Pacific Islander: 0%
Other: 7%
Gender
Female: 51%
Male: 49%
Other: 0%