Pomona Medical Diagnostics
Business Contact
Ronald Discenza
PrincipalContact Information
Business Description
Pomona Medical Diagnostics is located in New City, New York, and was founded in 2008. At this location, Pomona Medical Diagnostics employs approximately 3 people. Annual sales for Pomona Medical Diagnostics are around USD 150,000.
Employees: 3
Revenue: USD 150,000
Founded: 2008
Industry
Medical
Medical
Engaged in:
Internist
Internist
ISIC Codes
8620
NAICS Codes
621
8620
NAICS Codes
621
Questions & Answers
Q1
How long has Pomona Medical Diagnostics been in business?
Pomona Medical Diagnostics has been in business for around 19 years.Q2
What is the phone number for Pomona Medical Diagnostics?
The phone number for Pomona Medical Diagnostics is (845) 634-5650.Q3
How big is Pomona Medical Diagnostics?
Pomona Medical Diagnostics generates approximately USD 150,000 in revenue annually, and employs around 3 people at this location.Q4
Where is Pomona Medical Diagnostics located?
Pomona Medical Diagnostics is located at 100 Phillips Hill Rd, New City, New York, 10956-4134.Q5
Is there a primary contact for Pomona Medical Diagnostics?
Ronald Discenza (Principal) at Pomona Medical Diagnostics.Q6
What are the annual sales for Pomona Medical Diagnostics?
Pomona Medical Diagnostics has annual sales of approximately USD 150,000.Q7
How many people are employeed at Pomona Medical Diagnostics?
Pomona Medical Diagnostics has around 3 employees at this location.Additional Businesses at this Address
100 Phillips Hill Rd New City, New York, 10956-4134
Bloomfeld Harry Dds PC
Dentists
Dentists
Dr. Donna M. Muratschew, MD
Health and medical
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Businesses in Zip Code 10956
Businesses in 10956: 6,669
Population: 33,080
Categories
Professional Services: 21%
Medical: 19%
Shopping: 12%
Other: 48%
Price
Moderate: 55%
Inexpensive: 34%
Expensive: 7%
Very Expensive: 4%
Other: 0%
Area Codes
845: 95%
Other: 5%
Stats and Demographics for Zip Code 10956
Race
White: 81%
Asian: 7%
Hispanic or Latino: 6%
Black Or African American: 4%
Other: 2%
Gender
Female: 51%
Male: 49%
Other: 0%