Likert Score Calculator
Turn a 5-point response distribution into mean score, top-2-box, and a readable verdict.
Free · No signup · By the analysts at Blackridge Research · Updated 2026-07-18
Inputs
Results
What this means
Adjust the inputs to calculate.
About the Likert Score Calculator
Likert scale analysis turns survey response distributions into actionable insights.
The mean score shows the average sentiment; top-2-box shows strength of agreement.
Formula
Mean = Σ(Score × Count) / Total Responses
- μ
- — Mean Score
- T2B
- — Top-2-Box — % selecting 4 or 5
- B2B
- — Bottom-2-Box — % selecting 1 or 2
How to use this calculator
- 1
Enter response counts
Enter the number of responses for each Likert option.
- 2
Review the results
See the mean score, top-2-box percentage, and a verdict.
Example calculations
Employee engagement survey
A company surveyed 100 employees on engagement: 10 Strongly Disagree, 20 Disagree, 30 Neutral, 25 Agree, 15 Strongly Agree.
Mean = (10×1 + 20×2 + 30×3 + 25×4 + 15×5) / 100 = 3.15.
- Mean score:
- 3.15
- Top-2-Box (Agree + Strongly Agree):
- 40.0%
- Bottom-2-Box:
- 30.0%
- Total responses:
- 100
Mean = 3.15 (Neutral). 40% agree or strongly agree.
Interpreting your results
Mean score above 3.5 indicates positive sentiment, above 4.2 is very positive.
Top-2-box above 60% indicates strong agreement with the statement.
Need the market data behind this calculator?
The Likert Score Calculator is only as good as its inputs. Blackridge Research publishes syndicated market reports with vetted market sizes, growth rates, and competitive landscapes across 40+ industries — and builds custom studies when the shelf report doesn't exist.
Industry applications
Business
- Employee engagement: measure satisfaction and sentiment.
- Customer satisfaction: analyze feedback survey results.
- Product feedback: assess user satisfaction with product features.
Construction
- Safety culture: measure safety perception scores.
- Project satisfaction: assess stakeholder satisfaction with project delivery.
Research
- Survey research: analyze Likert-scale questions.
- Market studies: assess attitudes and opinions.
Common mistakes to avoid
-
✗ Treating Likert data as continuous
Likert data is ordinal. Use means for direction, not precise measurement.
-
✗ Ignoring the distribution shape
The same mean can come from very different distributions — always check the shape.
Frequently asked questions
›What is a good Likert score?
Mean above 3.5 is positive. Above 4.2 is very positive.
›What is top-2-box analysis?
The percentage of responses in the top two categories (Agree + Strongly Agree).
Glossary
- Likert scale:
- A 5-point (or 7-point) scale measuring agreement or satisfaction.
- Mean score:
- The average response on a Likert scale.
- Top-2-Box:
- The percentage of responses in the top two categories.
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