Math Scores*
About
Average grade level performance for 3rd graders on math standardized tests. The 2024 Annual Data Release used data from 2018 for this measure.
Math Scores measures performance outcomes on math tests for 3rd grade students in a county compared with the national average for 3rd graders. Many states implement standardized tests to measure the academic achievement of districts, schools, and students. Standardized test scores are often reported by state departments of education. The average academic performance of students in a given school district can be considered to reflect the total set of (both in- and out of-school) educational opportunities and resources available to children in that community.1 Academic achievement is a predictor of future academic outcomes.2 The literature indicates that strong academic performance at all grade levels is associated with better health outcomes such as life expectancy through increased educational opportunities, employment, and life satisfaction.3-7
Data and methods
Data Source
Stanford Education Data Archive
Key Measure Methods
Math Scores is an average
Math Scores is the average grade level performance in the county for 3rd graders on math standardized tests. For example, a score of 3.5 indicates that the 3rd graders are performing half a grade level better than expected for 3rd graders.
Math Scores is created using statistical modeling
Data come from the Stanford Education Data Archive program, which uses data from EDFacts and state sources; estimates are produced using complex statistical modeling. Using modeling allows the generation of more stable estimates for places with small populations or survey counts and for comparability across states.
Measure limitations
In the 2024 Annual Data Release, this measure is not available for counties in Alaska, Arizona, Louisiana, Maryland, New York, Virginia, and Vermont.
Can This Measure Be Used to Track Progress
Yes
Finding More Data
Disaggregation means breaking data down into smaller, meaningful subgroups. Disaggregated data are often broken down by characteristics of people or where they live. Disaggregated data can reveal inequalities that are otherwise hidden. These data can be disaggregated by:
- Age
- Gender
- Race
- Subcounty Area
Using the Stanford Education Data Archive, data is available by grade level, gender, race, and school district.
References
1 Fahle EM, Reardon SF. How much do test scores vary among school districts? New estimates using population data, 2009-2013. Stanford Center for Education Policy Analysis. 2017. Working Paper 17-02.
2 Jordan E, McKenzie SC, Ritter GW. Long-term outcomes of low-achieving third grade readers. Fayetteville: University of Arkansas, Office for Education Policy; 2018.
3 Hernandez DJ. Double jeopardy: How third-grade reading skills and poverty influence high school graduation. Baltimore: The Annie E. Casey Foundation; 2011.
4 French MT, Homer JF, Popovici I, Robins PK. What you do in high school matters: High school GPA, educational attainment, and labor market earnings as a young adult. Eastern Economics Journal 2015;41:370-386.
5 Kaplan RM, Spittel ML, & Zeno TL. Educational attainment and life expectancy. Policy Insights from Behavioral and Brain Science. 2014;1(1):189-194.
6 Kern ML, Friedman HS. Early educational milestones as predictors of lifelong academic achievement, midlife adjustment, and longevity. Journal of Applied Developmental Psychology. 2008;30(4):419-430.
7 Ma J, Pender M. Education pays 2023: The benefits of higher education for individuals and society. New York: The College Board; 2023.