# Domain Authority Statistics: Benchmarks and Metric Limits

Compare Domain Authority scores within a relevant sample. Keep provider, scope and collection date consistent and distinguish vendor metrics from Google signals.

Canonical: https://backlinkgrid.com/statistics/domain-authority-statistics


Domain Authority statistics describe values from Moz’s model, not Google’s assessment of a website. Comparisons require a relevant peer group, consistent scope and a recorded measurement date.

This page replaces unsupported numerical claims with a transparent measurement method. It does not claim a new industry survey or a verified universal benchmark. All example numbers below are illustrative.

## Which summary is useful for a peer group?

Start with the median and range of a deliberately chosen competitor set. Document why each competitor belongs in the set: audience, market, business model or search intent. Including a global platform alongside small local specialists can make an average misleading.

## Median authority score

**Formula:** Sort the selected scores and take the middle value

For the illustrative scores 18, 24, 31, 43 and 80, the median is 31. The mean is 39.2 because the largest value pulls it upward. Neither number establishes the score your website must reach.

## How to interpret the result

DA and Ahrefs DR use different models. Do not combine them in one average or convert a change in one score into a predicted search-position change. A model update or a changing comparison universe can affect a score even without an obvious campaign event.

Keep a measurement log with the data source, query scope, collection date, filters and reviewer. Save the raw export separately from your cleaned working file. That makes it possible to explain a change later, rather than relying on memory or a screenshot without context.

## Turn the measurement into a decision

Use scores to organize investigation, then assess relevance, source pages and editorial practices directly. Report search visibility and commercial outcomes using their own evidence. Avoid selling a promised DA increase as a guaranteed ranking improvement.

Before changing the campaign, ask which additional evidence would alter your conclusion. A source-page check, a missing cost entry or a delayed publication can materially change the interpretation. Record uncertainty alongside the number, especially when the sample is small.

## Reporting checklist

1. Define the population, unit of analysis and observation window.
2. State the numerator and denominator for every percentage.
3. Preserve missing values rather than silently treating them as zero.
4. Distinguish measured outcomes from assumptions and illustrative scenarios.
5. Explain changes in tools, filters or classification between reporting periods.
6. Link to original research when citing an external numerical claim.

Do not automatically generalize a result from your own campaign to other industries. A small specialist audience, a new brand and an established publisher may produce very different outcomes. Repeated measurements using the same method are more useful for your decisions than an unsupported universal target.

## Tools and next steps

Use the [free CSV templates](/templates) to record evidence and actions. Read the [backlink quality / authority metrics guide](/backlink-quality/authority-metrics) for the underlying workflow. If you need a starter prospect list, [preview the backlink database](/bundle); it supplies research entries, not measured campaign results.

## Sources and limits

Google explains that its [Links report is not comprehensive](https://support.google.com/webmasters/answer/9049606). Its [ranking systems guide](https://developers.google.com/search/docs/appearance/ranking-systems-guide) describes multiple systems, so a link metric alone should not be treated as a complete ranking explanation. These sources support the interpretation limits, not the illustrative numbers above.

## What to read next

Return to [statistics and measurement](/statistics) or explore [Backlink Statistics: Counts, Coverage and Interpretation](/statistics/backlink-statistics), [Outreach Response Rate Statistics: Calculate and Compare](/statistics/outreach-response-rate-statistics), [Guest Posting Statistics: Measure Acceptance and Results](/statistics/guest-posting-statistics).