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Geotext Translations demographics summary. Zippia estimates demographics and statistics for Geotext Translations by using a database of 30 million profiles. Our estimates are verified against BLS, Census, and current job openings data for accuracy. After extensive research and analysis, Zippia's data science team found that:

  • Geotext Translations has 50 employees.
  • 40% of Geotext Translations employees are women, while 60% are men.
  • The most common ethnicity at Geotext Translations is White (44%).
  • 24% of Geotext Translations employees are Hispanic or Latino.
  • 13% of Geotext Translations employees are Asian.
  • The average employee at Geotext Translations makes $51,913 per year.
  • Employees at Geotext Translations stay with the company for 7.8 years on average.
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Number of employees
50
Company number of employees
Gender
Male - 60%
Female - 40%
Company gender
Race
White - 44%
Hispanic or Latino - 24%
Company gender

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Geotext Translations employee diversity statistics

  • 40% of Geotext Translations employees are female.
  • 44% of Geotext Translations employees are white.
9.1
Diversity score
We calculate the diversity score of companies by measuring multiple factors, including the ethnic background, gender identity, and language skills of their workforce.
Industry-
Company typePrivate
Geotext Translations employees who are women40%
Geotext Translations executives who are women-
Geotext Translations employees who are minorities56%
Geotext Translations executives who are minorities-
Most common minority at Geotext TranslationsHispanic or Latino
Most common foreign languageSpanish

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Work at Geotext Translations?
Share your experience
Number of employees
50
Company number of employees
Gender
Male - 60%
Female - 40%
Company gender
Race
White - 44%
Hispanic or Latino - 24%
Company gender

Jobs from similar companies

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Geotext Translations employees education

  • The most common highest degree level of Geotext Translations employees is bachelors, with 78% of employees having at least a bachelors.
  • The most common major among Geotext Translations employees is business. 13% of Geotext Translations employees majored in business.

What is the average length of employment at Geotext Translations?

  • A plurality of employees at Geotext Translations stay for 1-2 years. 33% of Geotext Translations employees stay at the company for 1-2 years.
  • It's rare for an employee to stay with Geotext Translations for less than 1 year. Only 4% of Geotext Translations employees stay at the company for less than 1 year.

Less than one year

1-2 years

3-4 years

5-7 years

8-10 years

11+ years

Geotext Translations employees' length of employment

Number or YearsPercentages
Less than one year4%
1-2 years33%
3-4 years4%
5-7 years15%
8-10 years11%
11+ years33%

Geotext Translations salary range

  • A plurality of employees at Geotext Translations earns $25k-40k. 50% of employees earn a salary of $25k-40k a year.
  • The least common salary at Geotext Translations is <$25k. Only 9% of Geotext Translations employees earn a salary of <$25k a year.

Geotext Translations job listings by salary range

Salary rangeGeotext Translations
<$25k232,080 jobs
$25k-40k1,322,655 jobs
$40k-60k364,623 jobs
$60k-100k457,927 jobs
$100k-200k271,853 jobs
>$200k12,258 jobs

Geotext Translations demographics FAQs

How many employees does Geotext Translations have?

Geotext Translations has 50 employees.

Zippia gives an in-depth look into the details of Geotext Translations, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Geotext Translations. The employee data is based on information from people who have self-reported their past or current employments at Geotext Translations. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by Geotext Translations. The data presented on this page does not represent the view of Geotext Translations and its employees or that of Zippia.

Geotext Translations may also be known as or be related to Geotext Translations and Geotext Translations, Inc.