Pakruojo verslo informacijos centras - employees and salaries

Company age: 24 y. 0 mo.

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Basic salary and employee information

Number of employees

5

Annual change in number of employees

+0%

Average salary

2678 €

Change in average wage per year

+12% (+270 €)

Salary compared to sector average

81%

2 678 € vs 3 312 € sect.

Annual employee turnover

Employee turnover rate = (number of employees who left during the year / average annual number of employees) x 100 %

35,8 %

Number of employees

Number of employees at the end of the year

Number of employees (last 12 months)

Employee turnover rate

Employee turnover is a term describing the process when employees leave an organization and are replaced by new ones. It is an important human resource management indicator reflecting the quality of the company's work environment, employee satisfaction, and organizational culture.

Employee turnover rate = (number of employees who left during the year / average annual number of employees) x 100 %

Average salary

Average salary (by year)

Average salary (last 12 months)

Overview of company employees and salaries

This description was generated by artificial intelligence for the end of 2025. Report if inaccurate.
Pakruojo verslo informacijos centras (company code 168290365) is a Micro-sized business operating in business and other management consultancy activities. Its workforce has been stable at 5 average employees in each available year, including so far in 2026. This means there has been no change in headcount year on year, and the 2-year employee trend is also flat. The company’s compensation profile has risen steadily over the period. Average monthly gross wages increased from €1,513.30 in 2023 to €2,038.89 in 2024, then to €2,185.83 in 2025, and reached €2,454.76 so far in 2026. That represents wage growth of 12.3% year on year in the latest period and 20.4% over two years. Based on the latest average headcount and wage level, the estimated annual payroll is about €147.3K. No revenue figures are provided, so productivity metrics such as revenue per employee cannot be assessed from the available data.

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