Preferred Medical Staffing

Business Contact

Milton C. Rathbun

President
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Contact Information

Preferred Medical Staffing
162 Ocilla Hwy, Ste 6, Fitzgerald, GA 31750-5706
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Business Description

Preferred Medical Staffing is located in Fitzgerald, Georgia, and was founded in 2001. Annual sales for Preferred Medical Staffing are around USD 250,000.
Employees: 0-25
Revenue: USD 250,000
Founded: 2001
Industry
Professional Services »  Employment agencies; Temp agencies
Engaged in:
Temp Agency, Temporary employment agency activities, Activities of employment placement agencies, Business to Business Service, Labour Hire
ISIC Codes
7020, 7810, 7820
SIC Codes
7363
NAICS Codes
561320

Questions & Answers

Q1

How long has Preferred Medical Staffing been in business?

Preferred Medical Staffing has been in business for around 25 years.
Q2

What is the phone number for Preferred Medical Staffing?

The phone number for Preferred Medical Staffing is (229) 423-2700.
Q3

Where is Preferred Medical Staffing located?

Preferred Medical Staffing is located at 162 Ocilla Hwy, Ste 6, Fitzgerald, GA 31750-5706.
Q4

Is there a primary contact for Preferred Medical Staffing?

Milton C. Rathbun (President) at Preferred Medical Staffing.
Q5

Are there other contacts associated with Preferred Medical Staffing?

We have 1 additional contact(s) for Preferred Medical Staffing. They include: Debra D. Rathbun.
Q6

What are the annual sales for Preferred Medical Staffing?

Preferred Medical Staffing has annual sales of approximately USD 250,000.
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Historical Information

Old business websites and emails that no longer exist, informational purposes only.
www.preferredmedicalstaffing.com
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Businesses in Zip Code 31750

Businesses in 31750: 2,633
Population: 18,617
31750 Business Density Heatmap

Price

Inexpensive:  60%
Moderate:  33%
Expensive:  7%
Other:  0%

Area Codes

229:  98%
Other:  2%
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Stats and Demographics for Zip Code 31750

Race

White:  63%
Black Or African American:  30%
Hispanic or Latino:  4%
Asian:  0%
American Indian Or Alaskan Native:  0%
Other:  3%

Gender

Female:  52%
Male:  48%
Other:  0%
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