Hwang & Wan

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Contact Information

Hwang & Wan
170 Columbus Ave
San Francisco, California, 94133
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Fax: (415) 421-6838
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Business Description

Hwang & Wan is located in San Francisco, California, and was founded in 1978. At this location, Hwang & Wan employs approximately 7 people. Annual sales for Hwang & Wan are around USD 500,000.
Employees: 7
Revenue: USD 500,000
Founded: 1978

Questions & Answers

Q1

How long has Hwang & Wan been in business?

Hwang & Wan has been in business for around 48 years.
Q2

What is the phone number for Hwang & Wan?

The phone number for Hwang & Wan is (415) 421-4343.
Q3

How big is Hwang & Wan?

Hwang & Wan generates approximately USD 500,000 in revenue annually, and employs around 7 people at this location.
Q4

Where is Hwang & Wan located?

Hwang & Wan is located at 170 Columbus Ave, San Francisco, California, 94133.
Q5

Is there a primary contact for Hwang & Wan?

John C. Hwang (Partner) at Hwang & Wan.
Q6

Are there other contacts associated with Hwang & Wan?

We have 2 additional contact(s) for Hwang & Wan. They include: William Wan & Hwang- Partner John C..
Q7

What are the annual sales for Hwang & Wan?

Hwang & Wan has annual sales of approximately USD 500,000.
Q8

How many people are employeed at Hwang & Wan?

Hwang & Wan has around 7 employees at this location.
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Additional Businesses at this Address

170 Columbus Ave San Francisco, California, 94133
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Businesses in Zip Code 94133

Businesses in 94133: 9,981
Population: 27,831
94133 Business Density Heatmap

Categories

Shopping:  21%
Professional Services:  19%
Restaurants:  15%
Other:  44%

Price

Moderate:  49%
Inexpensive:  35%
Expensive:  11%
Very Expensive:  5%
Other:  0%

Area Codes

415:  96%
Other:  4%

Neighborhoods

Chinatown:  16%
Financial District:  13%
North Beach:  46%
Russian Hill:  14%
Other:  12%
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Stats and Demographics for Zip Code 94133

Race

Asian:  55%
White:  39%
Hispanic or Latino:  3%
Black Or African American:  1%
American Indian Or Alaskan Native:  0%
Native Hawaiian & Other Pacific Islander:  0%
Other:  1%

Gender

Female:  50%
Male:  50%
Other:  0%
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