Select a district/jurisdiction using the drop-down menu to see how its average score compares to the national average for public schools, the average score for large city schools, and to other TUDA districts. Districts/jurisdictions are grouped in relation to whether they scored higher than, not significantly different from, or lower than the selected focal district/jurisdiction. Use the NAEP District Profiles Tool to perform further comparisons of district/jurisdictions based on student group performance.
20 districts showed no significant change in scores.
Explore the interactive map below to see which TUDA districts had increases or decreases and by how much. Click on a district name to see details of performance for the district, its home state, large city, and the nation (public). Scroll down to view the magnitude of average score changes across TUDA districts.
To view score changes for fourth-grade public school students in reading between 2017 and previous assessment years, use the drop-down menu to select a comparison year. The results will show the size of the score change between 2017 and the selected comparison year for each TUDA district. Explore score-point changes between any combinations of assessment years. To see whether the score change in one district is statistically different from the change in another district, use the NAEP District Profiles Tool. Find out how statistical significance is determined.
NOTE: Beginning with the 2017 assessment, NAEP reading results are from a digitally based assessment; prior to 2017, results were from a paper-and-pencil based assessment. The NAEP reading scale ranges from 0–500. Results are not shown for those districts that did not participate or did not meet the minimum participation guidelines for reporting in a given assessment year. Although the estimates (e.g., average scores or percentages) are shown as rounded numbers in the charts, the positions of the data points in the graphics are based on the unrounded numbers. Unrounded numbers were used for calculating the differences between the estimates, and for the statistical comparison test when the estimates were compared to each other. Not all apparent differences between estimates are statistically significant.