Lucky Star POS System
4.5 ★★★★★ 1+ reviews
This listing has been marked as closed.
Business Contact
William Wang
MemberContact Information
Historical Phone: (212) 966-6788
Historical Hours: Show
Web: www.menusifu.com
Facebook Profile: Visit
Yelp Page: Visit
Twitter Feed: Visit
Google Maps: Visit
Instagram: Visit
Foursquare: Visit
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Business Description
Lucky Star POS System is located in New York City, and was founded in 2002. Annual sales for Lucky Star POS System are around USD 500,000.
Revenue: USD 500,000
Founded: 2002
Filing Number: 4199865
Industry
Industry
Industry
Engaged in:
Office Equipment Supplier
Office Equipment Supplier
ISIC Codes
4649
4649
Questions & Answers
Q1
Where is Lucky Star POS System located?
Lucky Star POS System is located at 62 Allen St, New York, NY 10002, New York City.Q2
What days are Lucky Star POS System open?
This listing has been marked as closed.
Lucky Star POS System is open Mon–Sun 9 AM–10 PM.Q3
Are there other contacts associated with Lucky Star POS System?
We have 2 additional contact(s) for Lucky Star POS System. They include: Raymond Wu & Christis M. Christoforou.Q4
What is the web address (URL) for Lucky Star POS System?
The website for Lucky Star POS System is www.menusifu.com.Q5
What are the annual sales for Lucky Star POS System?
Lucky Star POS System has annual sales of approximately USD 500,000.Q6
Does Lucky Star POS System have somewhere to park?
Yes, Lucky Star POS System has parking available.Additional Businesses at this Address
62 Allen St, New York, NY 10002 New York City, 10002
Businesses in Zip Code 10002
Businesses in 10002: 18,769
Population: 73,654
Categories
Shopping: 22%
Restaurants: 18%
Professional Services: 11%
Other: 50%
Price
Moderate: 41%
Inexpensive: 41%
Expensive: 14%
Very Expensive: 4%
Other: 0%
Area Codes
212: 79%
646: 10%
917: 6%
Other: 6%
Neighborhoods
Manhattan: 94%
Other: 6%
Stats and Demographics for Zip Code 10002
Race
Asian: 40%
Hispanic or Latino: 22%
White: 21%
Black Or African American: 6%
American Indian Or Alaskan Native: 0%
Other: 11%
Gender
Female: 51%
Male: 49%
Other: 0%
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