Museum Evaluation information
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$8.41 - $13.22
17% of jobs
$14.79 is the 25th percentile. Wages below this are outliers.
$13.22 - $18.03
24% of jobs
The median wage is $20.59 / hr.
$18.03 - $22.84
16% of jobs
$22.84 - $27.64
13% of jobs
$30.35 is the 75th percentile. Wages above this are outliers.
$27.64 - $32.45
9% of jobs
$32.45 - $37.26
7% of jobs
$37.26 - $42.07
6% of jobs
$42.07 - $46.88
3% of jobs
$46.88 - $51.68
2% of jobs
$51.68 - $56.49
1% of jobs
$56.49 - $61.30
1% of jobs
How much do museum evaluation jobs pay per hour?
As of Aug 16, 2026, the average hourly pay for museum evaluation in the United States is $27.34, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $34.13 per hour, depending on experience, location, and employer.
To thrive as a Museum Evaluation Specialist, you need expertise in research methodology, data analysis, and a background in museum studies or a related field. Familiarity with survey platforms, statistical software (like SPSS or Excel), and evaluation frameworks is typically required. Strong communication, critical thinking, and collaboration skills help in interpreting data and working with diverse museum stakeholders. These skills ensure that museum programs and exhibits are effectively assessed and improved to enhance visitor engagement and institutional impact.
Museum evaluation is the systematic process of assessing various aspects of a museum's programs, exhibitions, visitor experiences, and operations. The goal is to gather data and feedback to understand how well the museum is meeting its objectives and to identify areas for improvement. Evaluations can focus on visitor satisfaction, learning outcomes, exhibit effectiveness, or institutional performance. This process helps museums make informed decisions, enhance their offerings, and demonstrate their impact to stakeholders.
Professionals in museum evaluation often encounter challenges such as gathering diverse visitor feedback, measuring intangible impacts like learning or emotional responses, and ensuring data-driven decisions align with institutional goals. Addressing these challenges involves using a mix of qualitative and quantitative methods, collaborating closely with educators and curators, and maintaining flexibility in adapting evaluation tools to different audiences and exhibit types. Continuous professional development and staying updated with best practices in evaluation can also help in overcoming these obstacles.
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