Super-H Analytics, Inc.
Business Description
Super-H Analytics, Inc. is located in Columbus, Ohio, and was founded in 2016. At this location, Super-H Analytics, Inc. employs approximately 5 people. Annual sales for Super-H Analytics, Inc. are around USD 117,715.
Employees: 5
Revenue: USD 117,715
Founded: 2016
Industry
Professional Services
Professional Services
Engaged in:
Software Consultant
Software Consultant
ISIC Codes
6202
NAICS Codes
54151
6202
NAICS Codes
54151
Questions & Answers
Q1
How long has Super-H Analytics, Inc. been in business?
Super-H Analytics, Inc. has been in business for around 10 years.Q2
What is the phone number for Super-H Analytics, Inc.?
The phone number for Super-H Analytics, Inc. is (614) 394-0095.Q3
How big is Super-H Analytics, Inc.?
Super-H Analytics, Inc. generates approximately USD 117,715 in revenue annually, and employs around 5 people at this location.Q4
Where is Super-H Analytics, Inc. located?
Super-H Analytics, Inc. is located at 1275 Kinnear Rd, Columbus, Ohio, 43212.Q5
Is there a primary contact for Super-H Analytics, Inc.?
You can contact Super-H Analytics, Inc. by phone using number (614) 394-0095.Q6
What are the annual sales for Super-H Analytics, Inc.?
Super-H Analytics, Inc. has annual sales of approximately USD 117,715.Q7
How many people are employeed at Super-H Analytics, Inc.?
Super-H Analytics, Inc. has around 5 employees at this location.Similar Companies Nearby
Additional Businesses at this Address
1275 Kinnear Rd Columbus, Ohio, 43212
Businesses in Zip Code 43212
Businesses in 43212: 7,005
Population: 18,134
Categories
Professional Services: 19%
Shopping: 15%
Medical: 14%
Other: 52%
Price
Moderate: 62%
Inexpensive: 27%
Expensive: 9%
Very Expensive: 3%
Other: 0%
Area Codes
614: 98%
Other: 2%
Neighborhoods
Fifth by Northwest: 56%
Grandview Heights: 11%
Harrison West: 7%
Northwest Blvd: 11%
Other: 14%
Stats and Demographics for Zip Code 43212
Race
White: 93%
Asian: 3%
Black Or African American: 2%
Hispanic or Latino: 2%
American Indian Or Alaskan Native: 0%
Other: 1%
Gender
Female: 52%
Male: 48%
Other: 0%