Effective Ergonomics LLC

Business Contact

Charlene A. Tardif

Principal
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Contact Information

Effective Ergonomics LLC
339 Mile Hill Rd, Tolland, CT 06084
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Business Description

Effective Ergonomics LLC is located in Tolland, Connecticut, and was founded in 2009. At this location, Effective Ergonomics LLC employs approximately 2 people. Annual sales for Effective Ergonomics LLC are around USD 500,000.
Employees: 2
Revenue: USD 500,000
Founded: 2009
Industry
Medical
Engaged in:
Health Consultant
ISIC Codes
8620
NAICS Codes
621

Questions & Answers

Q1

How long has Effective Ergonomics LLC been in business?

Effective Ergonomics LLC has been in business for around 17 years.
Q2

What is the phone number for Effective Ergonomics LLC?

The phone number for Effective Ergonomics LLC is (860) 966-3395.
Q3

How big is Effective Ergonomics LLC?

Effective Ergonomics LLC generates approximately USD 500,000 in revenue annually, and employs around 2 people at this location.
Q4

Where is Effective Ergonomics LLC located?

Effective Ergonomics LLC is located at 339 Mile Hill Rd, Tolland, CT 06084.
Q5

Is there a primary contact for Effective Ergonomics LLC?

Charlene A. Tardif (Principal) at Effective Ergonomics LLC.
Q6

What are the annual sales for Effective Ergonomics LLC?

Effective Ergonomics LLC has annual sales of approximately USD 500,000.
Q7

How many people are employeed at Effective Ergonomics LLC?

Effective Ergonomics LLC has around 2 employees at this location.
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Historical Information

Old business websites and emails that no longer exist, informational purposes only.
effectiveergonomics.com
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Businesses in Zip Code 06084

Businesses in 06084: 795
Population: 15,766
06084 Business Density Heatmap

Categories

Shopping:  16%
Professional Services:  15%
Home Services:  13%
Industry:  11%
Medical:  10%
Other:  36%

Price

Moderate:  46%
Inexpensive:  44%
Expensive:  8%
Very Expensive:  2%
Other:  0%

Area Codes

860:  99%
Other:  1%
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Stats and Demographics for Zip Code 06084

Race

White:  96%
Asian:  1%
Hispanic or Latino:  1%
Black Or African American:  1%
Other:  0%

Gender

Female:  50%
Male:  50%
Other:  0%
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