Step 1
Select a reading level
Start with the reader's current grade or skill level so passages feel appropriately matched.
Fluent Within from Scholar Within
Reading fluency assessment for families, teachers, and students.
Fluent Within helps readers complete oral reading assessments online, review playback, and see progress with clear fluency measures like words per minute, accuracy, and missed words.
How it works
Step 2
Read a passage
The reader completes a short oral reading sample with the passage visible on screen.
Step 3
See clear results
Review words per minute, accuracy, missed words, and saved history from the same account.
Average Reading Speed by Age and Grade Level
This chart includes the average reading fluency rates by grade level and age.
| Grade Level and Age | Words-Per-Minute |
|---|---|
1st Grade (Spring) 6-7 years old | 53 - 111 wpm |
2nd Grade (Spring) 7-8 years old | 89 - 149 wpm |
3rd Grade (Spring) 8-9 years old | 107 - 162 wpm |
4th Grade (Spring) 9-10 years old | 123 - 180 wpm |
5th Grade (Spring) 10-11 years old | 139 - 194 wpm |
6th-8th Grade (Spring) 11, 12, 13, 14 years old | 150 - 204 wpm |
Hasbrouck, J. & Tindal, G. (2017); Brysbaert, M. (2019)
Please note that the above reading rates do not take into account technical reading. Technical readings will be read slower than the average reading rates above.
What Fluent Within does
The app provides browser-based reading assessment tools and account features for reviewing results.
Reading assessment
Readers record a short oral reading sample so Fluent Within can generate fluency results.
Fluency results
Families and educators can review words per minute, accuracy, and missed words.
Guided reading passages
Readers choose a grade-level passage and read aloud in the browser.
Progress tracking
Signed-in accounts can save assessment history for readers and compare results over time.
Account sign-in, including Google, Facebook, Scholar Within, and email/password options, is used to create and secure accounts and save assessment history. Reader profile and audio data are used to run assessments, generate results, support playback, and track progress.