Veterinary Assistant salary in Columbia Metro Area, SC

Average salary
$27,000/yr
Based on 33 income tax records
$18,000
$37,500
Age:
Average salary by age
18-25
26-35
36-45
46-55
56+
 
$26K
 
$27K
$18,000
$37,500
How much do Veterinary Assistants make?
The average total salary for a Veterinary Assistant is $27,000 per year. This is based on data from 33 TurboTax users who reported their occupation as Veterinary Assistant and includes taxable wages, tips, bonuses, and more. Veterinary Assistant salary can vary between $18,000 to $37,500 depending on factors including education, skills, experience, employer & location. Read more
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DATA PROVIDED BY turbotax icon

Based on income reported to the IRS in box 1 of W-2.

From consenting TurboTax customers

Veterinary Assistant salary by company

Employer
Average salary per year*
Salary range**

Veterinary Assistant demographics in Columbia Metro Area, SC

single icon
85% are single
married icon
15% are married
have kids icon
18% have kids
own a home icon
30% own a home

Effective Tax Rates for Veterinary Assistants in Columbia Metro Area, SC

33 full-time salaries from 2019
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FAQS
The average salary for a veterinary assistant in Columbia Metro Area, SC is $27,000 per year. Veterinary assistant salaries in Columbia Metro Area, SC can vary between $18,000 to $37,500 and depend on various factors, including skills, experience, employer, bonuses, tips, and more.

This data is exclusive to Mint Salary and is based on 33 tax returns from TurboTax customers who reported their occupation as veterinary assistant.

The following cities offer the highest salaries for veterinary assistants near Columbia Metro Area, SC: Myrtle Beach, SC ($27,000 a year), Lawrenceville, GA ($26,500 a year), and Marietta, GA ($26,500 a year).
*
Total salary amounts here include total taxable wages, tips, prizes and other compensation. Salaries here are not representative of the total population and may reflect different levels of experience or education. Learn more
**
Total salary ranges shown here exclude outliers.