Universal Statistical Technology is categorized under Statistical Reports (Periodicals): Publishing and Printing in Okemos, MI and active since 2007.
Universal Statistical Technology was established in 2007, and today employs 1 to 4, earning $100.000 to $499.999 per year. This is a Statistical Reports (Periodicals): Publishing and Printing business, which does work in the B2B market, and is classified as a Statistical Reports (Periodicals): Publishing and Printing, under code number 511120 by the NAICS.
If you are seeking more information, feel free to contact Mohammad Rahbar at the company’s single location by writing to 3872 Pine Knoll Drive, Okemos, Michigan MI 48864 or by phoning No number given. You can also visit this business on Facebook by going to their profile page at Facebook or on find them on Twitter.
| Business Name: | Universal Statistical Technology |
| Contact Person: | Mohammad Rahbar |
| Address: | 3872 Pine Knoll Drive, Okemos, Michigan 48864 |
| Annual Revenue (USD): | $100.000 to $499.999 |
| Founded: | 2007 |
| Location Type: | Single Location |
| Employee Number: | 1 to 4 |
| Business Type: | B2B (Business to Business) |
| Business Category: | Statistical Reports (Periodicals): Publishing and Printing |
| SIC Code: | 2721 |
| NAICS Code: | 511120 |
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Universal Statistical Technology was started in 2007 to provide professional Statistical Reports (Periodicals): Publishing and Printing under the SIC code 2721 and NAICS code 511120. Since its inception, the company has gone on to take a total of 1 to 4 personnel under its employment and has achieved earnings of $100.000 to $499.999 per annum.
Feel free to contact Mohammad Rahbar for inquiries that concern Universal Statistical Technology by calling the company number No number given, as your correspondence is most welcome. Additionally, the physical location of the single location of Universal Statistical Technology can be found at the coordinates as well as the street address 3872 Pine Knoll Drive in Okemos, Michigan 48864.
For its online presence, you may visit Universal Statistical Technology’s website at and engage with its social media outlets through on Twitter and on Facebook.