Positive Input

Business Contact

Aaron Mcclymonds

Principal
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Contact Information

Positive Input
2523 Coffey Ln
Santa Rosa, California, 95403-3447
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Business Description

Positive Input is located in Santa Rosa, California, and was founded in 2010. At this location, Positive Input employs approximately 2 people. Annual sales for Positive Input are around USD 68,000.
Employees: 2
Revenue: USD 68,000
Founded: 2010
Industry
Professional Services
Engaged in:
Information services
ISIC Codes
6311
NAICS Codes
518210

Questions & Answers

Q1

How long has Positive Input been in business?

Positive Input has been in business for around 16 years.
Q2

What is the phone number for Positive Input?

The phone number for Positive Input is (707) 703-2785.
Q3

How big is Positive Input?

Positive Input generates approximately USD 68,000 in revenue annually, and employs around 2 people at this location.
Q4

Where is Positive Input located?

Positive Input is located at 2523 Coffey Ln, Santa Rosa, California, 95403-3447.
Q5

Is there a primary contact for Positive Input?

Aaron Mcclymonds (Principal) at Positive Input.
Q6

What are the annual sales for Positive Input?

Positive Input has annual sales of approximately USD 68,000.
Q7

How many people are employeed at Positive Input?

Positive Input has around 2 employees at this location.
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Businesses in Zip Code 95403

Businesses in 95403: 11,999
Population: 45,566
95403 Business Density Heatmap

Categories

Medical:  22%
Shopping:  14%
Professional Services:  14%
Other:  50%

Price

Moderate:  54%
Inexpensive:  32%
Expensive:  10%
Very Expensive:  4%
Other:  0%

Area Codes

707:  98%
Other:  2%

Neighborhoods

Larkfield-Wikiup:  43%
North Junior College:  5%
North Junior College Neighborhood Association:  19%
Northwest Santa Rosa:  10%
Santa Rosa:  8%
Other:  14%
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Stats and Demographics for Zip Code 95403

Race

White:  68%
Hispanic or Latino:  16%
Asian:  4%
Black Or African American:  2%
American Indian Or Alaskan Native:  1%
Native Hawaiian & Other Pacific Islander:  0%
Other:  8%

Gender

Male:  50%
Female:  50%
Other:  0%
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