Teri Rosa at Guaranteed Rate Affinity (NMLS #288582)
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Contact Information
Teri Rosa at Guaranteed Rate Affinity (NMLS #288582)
1875 S Grant St Ste 930, San Mateo, CA 94402
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1875 S Grant St Ste 930, San Mateo, CA 94402
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Historical Phone: (650) 752-0799
Historical Hours: Show
Web: www.grarate.com
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Business Description
Teri Rosa, NMLS #288582, is a local lender in San Mateo and a loan officer at Guaranteed Rate Affinity. She specializes in home purchase loans and refinances, offering low rates and a streamlined process. For more information, contact Teri at (650) 752-0799.
Industry
Financial Services » Mortgage companies
Financial Services » Mortgage companies
Engaged in:
Mortgage Lender, Mortgage companies
Mortgage Lender, Mortgage companies
ISIC Codes
6419, 6619
6419, 6619
Questions & Answers
Q1
Where is Teri Rosa at Guaranteed Rate Affinity (NMLS #288582) located?
Teri Rosa at Guaranteed Rate Affinity (NMLS #288582) is located at 1875 S Grant St Ste 930, San Mateo, CA 94402.Q2
What days are Teri Rosa at Guaranteed Rate Affinity (NMLS #288582) open?
This listing has been marked as closed.
Teri Rosa at Guaranteed Rate Affinity (NMLS #288582) is open Mon–Fri 9 AM–5 PM; closed Sat–Sun.Q3
What is the web address (URL) for Teri Rosa at Guaranteed Rate Affinity (NMLS #288582)?
The website for Teri Rosa at Guaranteed Rate Affinity (NMLS #288582) is www.grarate.com.Similar Companies Nearby
Additional Businesses at this Address
1875 S Grant St Ste 930, San Mateo, CA 94402
Businesses in Zip Code 94402
Businesses in 94402: 7,006
Population: 22,855
Categories
Professional Services: 23%
Shopping: 15%
Medical: 11%
Other: 50%
Price
Moderate: 62%
Inexpensive: 24%
Expensive: 9%
Very Expensive: 6%
Other: 0%
Area Codes
650: 94%
Other: 6%
Neighborhoods
Baywood - Aragon: 6%
Central San Mateo: 73%
South San Mateo: 7%
Other: 15%
Stats and Demographics for Zip Code 94402
Race
White: 70%
Asian: 14%
Hispanic or Latino: 10%
Black Or African American: 1%
Native Hawaiian & Other Pacific Islander: 1%
American Indian Or Alaskan Native: 0%
Other: 4%
Gender
Female: 52%
Male: 48%
Other: 0%