Survey Response Rate Calculator

Calculate response rates with adjustable denominators and definitions. See confidence bounds and targets in seconds. Download tables, share insights, and plan your reminders smartly.

Enter survey counts

Use whole numbers when possible. Zeros are allowed.
Total outbound invitations attempted.
Leave blank to auto-calc as Sent − Undeliverable.
Hard bounces, invalid addresses, blocked deliveries.
Duplicates, wrong audience, screened out.
Finished survey per your completion rule.
Started but did not meet completion rule.
Explicit declines, opt-outs, terminates.
No reach, no click, or no access after delivery.
Eligibility cannot be confirmed for these cases.
Choose what you consider “in scope.”
AAPOR-style options use your refusal/unknown counts.
Used only for RR3/RR4 to weight unknown cases.
Shows how many additional responses you need.
Helps estimate cost per completed response.
Applies to the “Response Rate” tile for simple methods.

Formula used

This calculator supports two common approaches:

  • Simple response rate = Completed ÷ Denominator
  • Completed+Partial response rate = (Completed + Partial) ÷ Denominator

Denominator options:

  • Eligible = Sent − Undeliverable − Ineligible
  • Delivered − Ineligible (Delivered can be entered, or auto-calculated)
  • All Sent

AAPOR-style (simplified) methods use these labels:

Mappings
I = Completed
P = Partial
R = Refusal
NC = Noncontact
U = Unknown eligibility
e = Estimated eligible share of U
Rates
RR1 = I ÷ (I+P+R+NC+U)
RR2 = (I+P) ÷ (I+P+R+NC+U)
RR3 = I ÷ (I+P+R+NC+e·U)
RR4 = (I+P) ÷ (I+P+R+NC+e·U)

Confidence intervals use the Wilson score method with z = 1.96 (about 95%).

How to use this calculator

  1. Enter your campaign counts (Sent, Completed, and any optional categories).
  2. Pick a Denominator basis that matches your reporting standard.
  3. Select a Response rate method (simple or AAPOR-style).
  4. Set a Target response rate to estimate required follow-ups.
  5. Press Submit to display results above the form.
  6. Use Download CSV or Download PDF to share outputs.

Example data table

Sent Undeliverable Ineligible Completed Partial Rate (Completed+Partial ÷ Eligible)
500 10 5 160 20 37.11%
1200 35 10 312 41 30.56%
250 0 0 92 8 40.00%
3000 110 30 620 85 24.65%
900 18 12 210 33 27.93%

These examples assume eligibility is based on Sent − Undeliverable − Ineligible.

Response rate as a quality indicator

Response rate summarizes how many invited people actually provide usable data. Track it by wave, segment, and device to detect friction early. For example, if 1,200 invitations produce 312 completes, the completed-only rate depends on your denominator choice. Pair the rate with completion and cooperation metrics to show where losses occur: delivery problems, screening, refusals, or drop‑offs. Consistent definitions make trend lines meaningful across time.


Denominator selection changes reported performance

Three denominators are common in practice. Sent counts every invitation, delivered removes undeliverable cases, and eligible also subtracts ineligible records. Using the sample above with 35 bounced and 10 ineligible, eligible equals 1,155. If you include 41 partials as responses, responses become 353 and the eligible-based rate is 30.56%. Reporting the denominator alongside the rate prevents misleading comparisons across channels and lists.


AAPOR-style options for unknown eligibility

When eligibility is uncertain, AAPOR-style rates incorporate unknown cases explicitly. This calculator maps completed to I, partial to P, refusals to R, noncontacts to NC, and unknown eligibility to U. RR1 and RR2 treat all unknowns as in-scope, while RR3 and RR4 weight unknowns by e, your estimate of how many are truly eligible. These options are useful for mixed-mode outreach and panel maintenance.


Confidence bounds and margin of error

A single percentage can hide uncertainty, especially with smaller denominators. The calculator shows a 95% Wilson interval for the chosen numerator and denominator, which performs well near 0% or 100%. Use the interval to communicate precision: a narrow band suggests stable measurement, while a wide band signals limited evidence. The margin of error displayed is half the interval width, providing a quick comparability check between campaigns.


Targets, follow-ups, and cost planning

Operational planning improves when you translate rates into counts. Set a target response rate and the calculator estimates additional responses required to reach it under the selected method. Combine this with total campaign cost to estimate cost per completed response, supporting budget justification. If additional responses are high, prioritize reminder timing, shorten the survey, improve mobile usability, or adjust incentives. Small gains in completion can materially reduce acquisition costs. Review language clarity to reduce breakoffs further.

FAQs

What is the survey response rate?

It is the share of invited cases that produce responses, calculated using your selected numerator and denominator. Report the denominator description alongside the percentage for clarity.

Should I include partial responses?

Include partials when partial data is analytically usable or when your reporting standard counts starts. Exclude them when only fully completed records qualify for analysis or incentives.

Which denominator should I choose?

Use Eligible when you can remove undeliverable and ineligible cases. Use Delivered when delivery is measured reliably. Use Sent for top-line operational tracking across campaigns.

What does the 95% confidence interval mean?

It gives a plausible range for the true response rate given the observed counts. A narrower interval indicates higher precision, usually from larger denominators and stable response behavior.

How does the eligibility estimate e work?

For RR3 and RR4, e weights unknown-eligibility cases by the fraction you believe are truly eligible. Set e using historical screening rates or validated sampling frames.

Can I download the results?

Yes. Download CSV after you submit to export inputs and outputs. Use the PDF button to capture the result card for sharing in reports or email updates.

Related Calculators

Margin of ErrorConfidence Interval SurveySurvey Completion RateNet Promoter ScoreSurvey Participation RateResponse DistributionNonresponse Bias CheckSurvey Variance CalculatorSurvey Mean ScoreSurvey Median Score

Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.