Train Acquisition LLC

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Contact Information

Train Acquisition LLC
390 Park Ave
New York City, 10022-4608
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Business Description

Train Acquisition LLC is located in New York City, and was founded in 1995. Annual sales for Train Acquisition LLC are around 500,000 - 999,999.
Employees: 0
Revenue: 500,000 - 999,999
Founded: 1995
Filing Number: 1943236

Questions & Answers

Q1

How long has Train Acquisition LLC been in business?

Train Acquisition LLC has been in business for around 31 years.
Q2

What is the phone number for Train Acquisition LLC?

The phone number for Train Acquisition LLC is (212) 318-9800.
Q3

Where is Train Acquisition LLC located?

Train Acquisition LLC is located at 390 Park Ave, New York City, 10022-4608.
Q4

Is there a primary contact for Train Acquisition LLC?

Marlene Rihard (Controller) at Train Acquisition LLC. You can contact Marlene Rihard at email address mreihard@wellspringcapital.com.
Q5

Are there other contacts associated with Train Acquisition LLC?

We have 9 additional contact(s) for Train Acquisition LLC. They include: Amit Patel, Greg Feldman, William L. Ramsey, Lance Stier, Millet Bartoul, Stephen Johnson, Neil Young, Richard Kughn & Braud K. Colton.
Q6

What is the web address (URL) for Train Acquisition LLC?

The website for Train Acquisition LLC is www.lionel.com.
Q7

What are the annual sales for Train Acquisition LLC?

Train Acquisition LLC has annual sales of approximately 500,000 - 999,999.
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Additional Businesses at this Address

390 Park Ave New York City, 10022-4608
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Businesses in Zip Code 10022

Businesses in 10022: 50,805
Population: 29,434
10022 Business Density Heatmap

Categories

Professional Services:  28%
Financial Services:  17%
Shopping:  14%
Medical:  12%
Other:  30%

Price

Moderate:  42%
Expensive:  25%
Very Expensive:  17%
Inexpensive:  15%
Other:  0%

Area Codes

212:  88%
646:  6%
Other:  6%

Neighborhoods

Manhattan:  92%
Other:  8%
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Stats and Demographics for Zip Code 10022

Race

White:  87%
Asian:  6%
Hispanic or Latino:  5%
Black Or African American:  1%
Other:  1%

Gender

Female:  54%
Male:  46%
Other:  0%
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