Response Rate Calculator
Find your survey response rate from the number of invitations and completed responses.
How response rate works
The response rate is the percentage of people you invited who actually completed your survey. It is the classic measure of survey participation and a key health check for fieldwork.
A low response rate signals that your sample may not represent the population, and it raises the risk of non-response bias. Tracking it over time helps you judge whether invitations, incentives or channels need to change.
Response rate is not the same as completion rate: response rate is completed responses out of everyone invited, while completion rate is finished surveys out of everyone who started. This calculator measures the first; use the Survey Completion Rate Calculator for the second.
The formula
Response rate = completed responses ÷ invitations × 100
Divide the number of completed responses by the number of invitations (or contacts) sent, then multiply by 100.
Worked example
1,000 invitations, 350 completed
350 ÷ 1,000 × 100 = 35%. So 35% of invited people completed the survey.
Frequently asked questions
What is a good response rate?
It depends on the mode and audience. Online consumer surveys often see 5–30%, while professional or panel surveys can be much higher. Compare against your own baseline rather than a universal number.
How is response rate different from completion rate?
Response rate is completed responses out of everyone invited. Completion rate is finished surveys out of everyone who started. A survey can have a low response rate but a high completion rate.
Why does response rate matter?
A low response rate can make your results unrepresentative. If only a small, biased subset responds, the numbers you report may not reflect the whole population.
Related research methods
- Survey Research
When to use this tool
Use this to measure how many invited contacts actually responded — a key fieldwork quality metric.
Assumptions
- A clear definition of who counts as an invited respondent and who counts as a completion.
Limitations
- A low response rate raises the risk of non-response bias; the rate itself does not measure that bias.
- Definitions of 'response' vary across studies — always state yours.
How to interpret the result
A higher response rate is generally better, but the relationship to the target audience matters more than the raw number.
How to report the result
Report the invitation count, completions, and the response rate, and state how non-responders were handled.
Next steps in your analysis
Related tools
Related guides
- How to Calculate NPSThe Net Promoter Score formula, how to classify promoters, passives and detractors, a worked example, and the caveats about small samples and timing.
- Survey Research Statistics: A Practical GuideThe core statistics every survey researcher should understand — response, completion and incidence rates, sample size, margin of error and significance — and how they fit together.
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