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    Chapter 3.2 · Two gaps, one district

    Gender gaps in reading and math

    Girls outscored boys in reading in 99.9% of school districts over 2009 to 2019, and the math gap, boys minus girls, rose from −0.20 grade levels in the lowest-income tenth of districts to +0.08 in the highest.

    Girls scored higher than boys in reading in 99.9%99.9% percent of districts where the reading gap is below zeroEstimandshare of districts (each counted once) where girls' mean reading score exceeds boys', bootstrap interval over statesInterval95% CI 99.8% to 100.0%n12,327 districtsWeightsnone (each district counts once)Populationschool districts with a reading gap estimatePeriodtest scores of third through eighth graders, pooled over 2009 to 2019SourceStanford Education Data Archive of the 12,32712,327 districtsEstimandcount of districtsWeightsnone (full count)Populationschool districts with a male-female reading gap estimatePeriodtest scores of third through eighth graders, pooled over 2009 to 2019SourceStanford Education Data Archive American school districts with a reading estimate, pooling third through eighth grade over the 2009 to 2019 school years. Each gap in this essay is the mean score of a district's boys minus the mean score of its girls, so a negative gap means girls scored higher. Scores are in grade levels, a scale on which one unit is the learning of an average school year. Girls and boys attend school in the same district, so each gap is measured inside one set of schools and neighborhoods, not by setting a rich district beside a poor one.

    Girls lead in reading, and math gaps take both signs

    Counting each district once, the mean reading gap across districts was −0.76 (95% CI −0.82 to −0.70)−0.76 reading gap in grade levels, male minus female (negative means girls scored higher)Estimandmean over districts of the male minus female reading gap, bootstrap interval over statesInterval95% CI −0.82 to −0.70n12,327 districtsWeightsnone (each district counts once)Populationschool districts with a reading gap estimatePeriodtest scores of third through eighth graders, pooled over 2009 to 2019SourceStanford Education Data Archive grade levels. The math gap has no common sign. Its mean across districts is −0.031 (95% CI −0.060 to −0.004)−0.031 math gap in grade levels, male minus female (negative means girls scored higher)Estimandmean over districts of the male minus female math gap, bootstrap interval over statesInterval95% CI −0.060 to −0.004n12,207 districtsWeightsnone (each district counts once)Populationschool districts with a math gap estimatePeriodtest scores of third through eighth graders, pooled over 2009 to 2019SourceStanford Education Data Archive grade levels, its distribution is centered close to zero, and boys lead in math in 43.8% (95% CI 38.1% to 49.4%)43.8% percent of districts where the math gap is above zeroEstimandshare of districts (each counted once) where boys' mean math score exceeds girls', bootstrap interval over statesInterval95% CI 38.1% to 49.4%n12,207 districtsWeightsnone (each district counts once)Populationschool districts with a math gap estimatePeriodtest scores of third through eighth graders, pooled over 2009 to 2019SourceStanford Education Data Archive of the districts with a math estimate.

    The reading gap has one sign in almost every district, so its sign does not depend on the district. The sign of the math gap does, and later sections show that it changes with district income.

    Figure 1

    Girls scored higher than boys in reading in 99.9% of districts, while math gaps fall on both sides of zero

    Distribution across school districts of the male minus female mean test score gap in grade levels, reading and math, third through eighth grade pooled over 2009 to 2019

    Show data
    Data for Girls scored higher than boys in reading in 99.9% of districts, while math gaps fall on both sides of zero
    densitygapsubject
    0−1.90Reading
    1−1.85Reading
    1−1.80Reading
    3−1.75Reading
    4−1.70Reading
    9−1.65Reading
    16−1.60Reading
    24−1.55Reading
    32−1.50Reading
    49−1.45Reading
    89−1.40Reading
    117−1.35Reading
    153−1.30Reading
    226−1.25Reading
    329−1.20Reading
    446−1.15Reading
    593−1.10Reading
    778−1.05Reading
    1035−1Reading
    1247−0.950Reading
    1375−0.900Reading
    1510−0.850Reading
    1588−0.800Reading
    1578−0.750Reading
    1525−0.700Reading
    1406−0.650Reading
    1290−0.600Reading
    1139−0.550Reading
    928−0.500Reading
    727−0.450Reading
    567−0.400Reading
    421−0.350Reading
    297−0.300Reading
    195−0.250Reading
    129−0.200Reading
    71−0.150Reading
    44−0.100Reading
    29−0.050Reading
    100Reading
    60.050Reading
    50.100Reading
    20.150Reading
    20.200Reading
    10.250Reading
    00.300Reading
    00.350Reading
    00.400Reading
    00.450Reading
    00.500Reading
    00.550Reading
    00.600Reading
    00.650Reading
    00.700Reading
    00.750Reading
    00.800Reading
    00.850Reading
    00.900Reading
    00.950Reading
    01Reading
    01.05Reading
    01.10Reading
    01.15Reading
    11.20Reading
    11.25Reading
    01.30Reading
    0−1.90Math
    0−1.85Math
    0−1.80Math
    0−1.75Math
    0−1.70Math
    0−1.65Math
    0−1.60Math
    0−1.55Math
    0−1.50Math
    0−1.45Math
    0−1.40Math
    0−1.35Math
    0−1.30Math
    0−1.25Math
    1−1.20Math
    0−1.15Math
    0−1.10Math
    0−1.05Math
    0−1Math
    0−0.950Math
    0−0.900Math
    1−0.850Math
    7−0.800Math
    13−0.750Math
    15−0.700Math
    24−0.650Math
    55−0.600Math
    94−0.550Math
    119−0.500Math
    185−0.450Math
    313−0.400Math
    507−0.350Math
    748−0.300Math
    1021−0.250Math
    1354−0.200Math
    1700−0.150Math
    1931−0.100Math
    2095−0.050Math
    20580Math
    19550.050Math
    16620.100Math
    12780.150Math
    10070.200Math
    7080.250Math
    4850.300Math
    2740.350Math
    1820.400Math
    1000.450Math
    520.500Math
    210.550Math
    190.600Math
    60.650Math
    40.700Math
    10.750Math
    10.800Math
    00.850Math
    00.900Math
    00.950Math
    01Math
    11.05Math
    01.10Math
    01.15Math
    01.20Math
    01.25Math
    01.30Math

    The reading ridge lies left of the zero rule almost everywhere, and the math ridge is narrower and centered close to zero, with tails on both sides. Each ridge is a smoothed distribution of district gaps in grade levels, each district counted once, and a negative gap means girls scored higher. Reading includes Virginia, which has no math estimates, so the two ridges rest on different sets of districts. Values in Table 1.

    Note: Each gap is the mean score of boys minus the mean score of girls in the district, in grade levels, where one grade level is the learning of an average school year. A negative gap means girls scored higher. Scores pool third through eighth grade over 2009 to 2019, and the estimates are empirical-Bayes estimates, which pull the noisiest districts toward the average.Note: The curves are Gaussian kernel densities with the bandwidth that Silverman's rule gives for each subject. Reading includes Virginia, which has no math estimates, so the two curves rest on different sets of districts.Source: Stanford Education Data Archive 6.0, 2009-2019; unweighted district estimates (each district counted once), modeled estimates

    How we know

    The gaps come from the Stanford Education Data Archive (SEDA), which builds district estimates from state accountability tests in reading and math. SEDA places the tests of every state on one scale through the National Assessment of Educational Progress. For each district it reports the mean score of girls, the mean score of boys and the difference between them. Intervals come from a bootstrapBootstrap intervalA range for an estimate found by recomputing it on many random resamples of the data and reading the range from the results. It shows how much the estimate would vary from sample to sample. that resamples whole states, since the districts of one state share tests and policies. A district's gap is an estimate with its own error, so a negative estimate does not always mean that girls in that district scored higher. The median standard error of a district's math gap is 0.060.06 standard error of a district's math gap, grade levelsEstimandmedian over districts of the standard error SEDA reports for the male minus female math gapn12,140 districtsWeightsnone (each district counts once)Populationschool districts with a math gap estimate and a standard errorPeriodtest scores of third through eighth graders, pooled over 2009 to 2019SourceStanford Education Data Archive grade levels, which exceeds the size of the mean math gap. The 95% interval of a district's math gap includes zero in 47.2% (95% CI 42.2% to 51.8%)47.2% percent of districts whose 95% interval for the math gap includes zeroEstimandshare of districts (each counted once) whose 95% interval, built from the estimate and its standard error, includes zero; bootstrap interval over statesInterval95% CI 42.2% to 51.8%n12,140 districtsWeightsnone (each district counts once)Populationschool districts with a math gap estimate and a standard errorPeriodtest scores of third through eighth graders, pooled over 2009 to 2019SourceStanford Education Data Archive of the districts that report a standard error. SEDA's figures are empirical-Bayes estimates, which pull the noisiest districts toward the average and narrow the spread of district gaps. The report gives every estimate with its interval and sample size.

    The math gap rises with district income

    District income here is the mean of the median household incomes of a district's census tracts, weighted by households, from the American Community Survey for 2019 to 2023. It is measured after the test scores, on the district boundaries of the 2021 to 2022 school year. Ranking districts by income and splitting them into tenths of equal size, the math gap averages −0.20 (95% CI −0.26 to −0.15)−0.20 math gap in grade levels, male minus female (negative means girls scored higher)Estimandtest-weighted mean of the male minus female math gap within a tenth of districts (equal numbers of districts), bootstrap interval over statesInterval95% CI −0.26 to −0.15n1,213 districtsWeightsnumber of math and reading test scores in the districtPopulationschool districts in the lowest tenth of districts by district median household incomePeriodtest scores of third through eighth graders, pooled over 2009 to 2019; district income from the American Community Survey, 2019 to 2023SourceStanford Education Data Archive grade levels in the lowest tenth, where girls lead. In the highest tenth it averages +0.08 (95% CI 0.04 to 0.12)+0.08 math gap in grade levels, male minus female (negative means girls scored higher)Estimandtest-weighted mean of the male minus female math gap within a tenth of districts (equal numbers of districts), bootstrap interval over statesInterval95% CI 0.04 to 0.12n1,214 districtsWeightsnumber of math and reading test scores in the districtPopulationschool districts in the highest tenth of districts by district median household incomePeriodtest scores of third through eighth graders, pooled over 2009 to 2019; district income from the American Community Survey, 2019 to 2023SourceStanford Education Data Archive, where boys lead. These means weight each district by its number of test scores, and the two intervals do not overlap.

    The reading gap stays below zero in every tenth. Its correlation with a district's income rank is −0.09 (95% CI −0.21 to 0.04)−0.09 correlation coefficientEstimandtest-weighted correlation of the district reading gap with the district's percentile rank of income, bootstrap interval over statesInterval95% CI −0.21 to 0.04n12,136 districtsWeightsnumber of math and reading test scores in the districtPopulationschool districts with both gaps and a district incomePeriodtest scores of third through eighth graders, pooled over 2009 to 2019; district income from the American Community Survey, 2019 to 2023SourceStanford Education Data Archive, and that interval includes zero.

    Figure 2

    The math gap rises from −0.20 grade levels in the lowest-income tenth of districts to +0.08 in the highest, while the reading gap stays below zero

    Test-weighted mean male minus female gap in grade levels by tenth of district median household income, reading and math, third through eighth grade pooled over 2009 to 2019

    Mean male minus female gap (grade levels)

    Show data
    Data for The math gap rises from −0.20 grade levels in the lowest-income tenth of districts to +0.08 in the highest, while the reading gap stays below zero
    SubjectIncome tenthMedian district income (dollars)Mean gap (grade levels)Lower limit of the 95% intervalUpper limit of the 95% intervalDistricts
    Reading146,464−0.79−0.89−0.711,213
    Reading254,714−0.80−0.88−0.721,214
    Reading360,094−0.78−0.86−0.701,213
    Reading464,792−0.78−0.85−0.701,214
    Reading569,421−0.74−0.81−0.681,214
    Reading674,142−0.76−0.84−0.691,213
    Reading780,405−0.77−0.86−0.691,214
    Reading888,948−0.80−0.85−0.721,213
    Reading9102,837−0.81−0.88−0.731,214
    Reading10136,556−0.87−0.97−0.781,214
    Math146,464−0.20−0.26−0.151,213
    Math254,714−0.14−0.19−0.101,214
    Math360,094−0.14−0.20−0.091,213
    Math464,792−0.10−0.15−0.051,214
    Math569,421−0.05−0.09−0.011,214
    Math674,142−0.07−0.11−0.031,213
    Math780,405−0.06−0.11−0.021,214
    Math888,948−0.06−0.100.001,213
    Math9102,837+0.01−0.03+0.061,214
    Math10136,556+0.08+0.04+0.121,214

    The math line climbs and crosses the zero rule in the upper tenths, and the reading line stays below the rule in every tenth. Each point is the mean gap in a tenth of districts ranked by income, weighted by test scores, with a 95% interval from a bootstrap over states. Income is measured for 2019 to 2023, after the 2009 to 2019 scores. Values in Table 3.

    Note: Each gap is the mean score of boys minus the mean score of girls in the district, in grade levels, where one grade level is the learning of an average school year. A negative gap means girls scored higher. Scores pool third through eighth grade over 2009 to 2019, and the estimates are empirical-Bayes estimates, which pull the noisiest districts toward the average.Note: District income is the mean of tract median household incomes in the district, weighted by households, from the American Community Survey for 2019 to 2023. The test scores pool 2009 to 2019, so income is measured after the scores, and districts are the boundaries of the 2021 to 2022 school year matched to SEDA by district code. It is not the median income of the district's households, and it is capped where the survey caps the highest incomes.Note: Deciles, the tenths of districts ranked by income, hold equal numbers of districts. Each mean weights a district by its number of test scores, and the 95% intervals come from a bootstrap that resamples whole states.Source: Stanford Education Data Archive 6.0, 2009-2019 and American Community Survey 2019-2023; test-weighted district estimates, modeled estimates

    Income differs across states, and so do tests and policies, so the national pattern could come from comparing states. A comparison within each state answers that. Of the 4545 statesEstimandcount of states given a slopeWeightsnone (full count)Populationstates with at least the minimum number of districts in the income samplePeriodtest scores of third through eighth graders, pooled over 2009 to 2019; district income from the American Community Survey, 2019 to 2023SourceStanford Education Data Archive states with enough districts in the sample to fit a slope of their own, the math gap rises with income rank in 4545 statesEstimandcount of states where the test-weighted slope of the math gap on income rank is positiveWeightsnone (full count)Populationstates with at least the minimum number of districts in the income samplePeriodtest scores of third through eighth graders, pooled over 2009 to 2019; district income from the American Community Survey, 2019 to 2023SourceStanford Education Data Archive. The 95% interval of that slope lies above zero in 3838 statesEstimandcount of states where the 95% interval (heteroskedasticity-robust) for that slope lies above zeroWeightsnone (full count)Populationstates with at least the minimum number of districts in the income samplePeriodtest scores of third through eighth graders, pooled over 2009 to 2019; district income from the American Community Survey, 2019 to 2023SourceStanford Education Data Archive of them. Districts of both signs appear at every income, so the balance between the two signs shifts with income and the districts do not fall into two kinds.

    The reading gap keeps its sign but varies by state

    The test-weighted mean reading gap is below zero in every state with both gaps and a district income, and its size differs by state. It runs from −1.28−1.28 reading gap in grade levels, male minus female (negative means girls scored higher)Estimandtest-weighted mean of district gaps in the state (the interval treats districts as independent)Interval95% CI −1.32 to −1.25n234 districtsWeightsnumber of math and reading test scores in the districtPopulationschool districts in the state with the largest reading lead for girlsPeriodtest scores of third through eighth graders, pooled over 2009 to 2019; district income from the American Community Survey, 2019 to 2023SourceStanford Education Data Archive grade levels in Arkansas to −0.46−0.46 reading gap in grade levels, male minus female (negative means girls scored higher)Estimandtest-weighted mean of district gaps in the state (the interval treats districts as independent)Interval95% CI −0.50 to −0.42n326 districtsWeightsnumber of math and reading test scores in the districtPopulationschool districts in the state with the smallest reading lead for girlsPeriodtest scores of third through eighth graders, pooled over 2009 to 2019; district income from the American Community Survey, 2019 to 2023SourceStanford Education Data Archive in Iowa. Differences between states account for 70% (95% CI 68% to 72%)70% percent of the variance of district reading gaps that lies between statesEstimandR squared of district reading gaps on state, weighted by test scores; interval from resampling districtsInterval95% CI 68% to 72%n12,136 districtsWeightsnumber of math and reading test scores in the districtPopulationschool districts with a reading gap, a math gap and a district incomePeriodtest scores of third through eighth graders, pooled over 2009 to 2019; district income from the American Community Survey, 2019 to 2023SourceStanford Education Data ArchiveNoteResampling districts adds a small upward bias to the share, so the interval sits slightly high. of the test-weighted variance of district reading gaps, a measure of their spread, and 36% (95% CI 34% to 40%)36% percent of the variance of district math gaps that lies between statesEstimandR squared of district math gaps on state, weighted by test scores; interval from resampling districtsInterval95% CI 34% to 40%n12,136 districtsWeightsnumber of math and reading test scores in the districtPopulationschool districts with a reading gap, a math gap and a district incomePeriodtest scores of third through eighth graders, pooled over 2009 to 2019; district income from the American Community Survey, 2019 to 2023SourceStanford Education Data ArchiveNoteResampling districts adds a small upward bias to the share, so the interval sits slightly high. of the test-weighted variance of district math gaps. Reading is the larger share when each district counts once as well. SEDA's estimates pull noisy districts toward an average, and if that average is a state or national mean, the shares between states could change.

    Figure 3

    The reading gap is below zero in all 48 states, while the math gap is above zero in 20 of them

    Test-weighted mean male minus female gap in grade levels by state, reading and math, districts with both gaps and an income, third through eighth grade pooled over 2009 to 2019

    • Math
    • Reading
    Show data
    Data for The reading gap is below zero in all 48 states, while the math gap is above zero in 20 of them
    conf_highconf_lowestimatenstatesubject
    0.2990.2280.263326IowaMath
    −0.424−0.499−0.461326IowaReading
    0.2190.0950.15741UtahMath
    −0.722−0.799−0.76041UtahReading
    0.1640.0550.109110IdahoMath
    −0.618−0.727−0.672110IdahoReading
    0.1440.0680.106323MinnesotaMath
    −0.573−0.641−0.607323MinnesotaReading
    0.1350.0730.104509OklahomaMath
    −0.495−0.563−0.529509OklahomaReading
    0.1320.0700.101513MichiganMath
    −0.692−0.742−0.717513MichiganReading
    0.1340.0600.097172OregonMath
    −0.660−0.737−0.698172OregonReading
    0.1510.0200.085150North DakotaMath
    −0.685−0.834−0.760150North DakotaReading
    0.1560.0110.084240NebraskaMath
    −0.438−0.572−0.505240NebraskaReading
    0.1080.0540.081288IndianaMath
    −0.901−0.947−0.924288IndianaReading
    0.1270.0280.077284KansasMath
    −0.479−0.566−0.523284KansasReading
    0.1300.0060.06848WyomingMath
    −0.531−0.651−0.59148WyomingReading
    0.1000.0230.061410WisconsinMath
    −0.676−0.749−0.712410WisconsinReading
    0.089−0.0170.036210MontanaMath
    −0.747−0.866−0.806210MontanaReading
    0.064−0.0090.027141New HampshireMath
    −0.937−1.01−0.973141New HampshireReading
    0.055−0.0080.024174MaineMath
    −0.968−1.05−1.01174MaineReading
    0.095−0.0630.016147South DakotaMath
    −0.621−0.774−0.698147South DakotaReading
    0.057−0.0280.014158ConnecticutMath
    −0.595−0.654−0.625158ConnecticutReading
    0.067−0.0480.00916DelawareMath
    −0.705−0.872−0.78816DelawareReading
    0.069−0.0590.005166ColoradoMath
    −0.899−0.992−0.945166ColoradoReading
    0.020−0.047−0.01467FloridaMath
    −0.558−0.607−0.58367FloridaReading
    0.004−0.041−0.019607OhioMath
    −0.696−0.734−0.715607OhioReading
    −0.018−0.055−0.0371,004TexasMath
    −0.556−0.590−0.5731,004TexasReading
    0.006−0.089−0.041499PennsylvaniaMath
    −0.897−0.961−0.929499PennsylvaniaReading
    0.059−0.144−0.04316NevadaMath
    −0.776−1.06−0.92016NevadaReading
    −0.015−0.077−0.046492New JerseyMath
    −0.971−1.01−0.992492New JerseyReading
    −0.003−0.089−0.04651VermontMath
    −1.02−1.13−1.0751VermontReading
    0.056−0.150−0.047652New YorkMath
    −0.699−0.899−0.799652New YorkReading
    −0.021−0.075−0.048276WashingtonMath
    −0.916−0.971−0.943276WashingtonReading
    −0.016−0.084−0.050512MissouriMath
    −0.776−0.836−0.806512MissouriReading
    −0.025−0.096−0.060826CaliforniaMath
    −0.810−0.858−0.834826CaliforniaReading
    0.014−0.193−0.09047AlaskaMath
    −0.739−0.964−0.85147AlaskaReading
    −0.056−0.150−0.10355West VirginiaMath
    −1.16−1.26−1.2155West VirginiaReading
    −0.046−0.179−0.11335Rhode IslandMath
    −1.08−1.24−1.1635Rhode IslandReading
    −0.081−0.151−0.116268MassachusettsMath
    −1.12−1.17−1.14268MassachusettsReading
    −0.074−0.167−0.120182ArizonaMath
    −0.802−0.867−0.834182ArizonaReading
    −0.091−0.165−0.128115North CarolinaMath
    −0.480−0.542−0.511115North CarolinaReading
    −0.062−0.197−0.129754IllinoisMath
    −0.901−0.994−0.948754IllinoisReading
    −0.125−0.215−0.170180GeorgiaMath
    −0.868−0.941−0.904180GeorgiaReading
    −0.131−0.231−0.181140TennesseeMath
    −0.806−0.879−0.843140TennesseeReading
    −0.141−0.238−0.189172KentuckyMath
    −0.737−0.853−0.795172KentuckyReading
    −0.127−0.265−0.19683New MexicoMath
    −0.957−1.13−1.0483New MexicoReading
    −0.156−0.247−0.20278South CarolinaMath
    −0.805−0.878−0.84178South CarolinaReading
    −0.173−0.258−0.21569LouisianaMath
    −0.986−1.05−1.0269LouisianaReading
    −0.198−0.287−0.243234ArkansasMath
    −1.25−1.32−1.28234ArkansasReading
    −0.153−0.350−0.25224MarylandMath
    −1.11−1.21−1.1624MarylandReading
    −0.244−0.351−0.298137AlabamaMath
    −0.764−0.854−0.809137AlabamaReading
    −0.301−0.376−0.339135MississippiMath
    −0.819−0.884−0.852135MississippiReading

    Reading dots sit left of the zero rule in every state and spread across a range of values. Math dots, drawn muted here, run from the girls' side in the Deep South to the boys' side in the Plains, the Great Lakes states and the Mountain West. Each dot is the test-weighted mean of district gaps in a state, and states are ordered by the math gap. These intervals treat a state's districts as independent draws, so they may be too narrow. Values in Table 2.

    Note: Each gap is the mean score of boys minus the mean score of girls in the district, in grade levels, where one grade level is the learning of an average school year. A negative gap means girls scored higher. Scores pool third through eighth grade over 2009 to 2019, and the estimates are empirical-Bayes estimates, which pull the noisiest districts toward the average. Means weight a district by its number of math and reading test scores.Note: The intervals treat the districts of a state as independent draws, so they are narrower than the intervals in the income figures, which resample whole states. Virginia (no math estimates), Hawaii (no districts) and the District of Columbia (no rows) are not shown.Source: Stanford Education Data Archive 6.0, 2009-2019; test-weighted district estimates, modeled estimates

    The data cannot say why the size differs. States give different tests, SEDA puts them on one scale, and a difference between states in a gap can come from schools, from students or from what a test asks.

    What the two patterns describe

    The sign of the reading gap and the slope of the math gap are descriptions of districts. The math gap rises with district income across states and within them. The reading gap favors girls in every income tenth and in every state, by amounts that differ between states. A district's income goes together with its schools, families, teachers and peers, and a comparison of girls and boys inside one district does not separate those from one another. Nothing here tests why the math gap moves with income. Reardon and colleagues used SEDA data for the school years ending in 2009 through 2016. They found that math gaps favored boys more in districts of higher socioeconomic status and in districts with larger gender disparities in adult income, education and occupation. For reading they did not find strong associations with those measures.[1] The gaps between income groups and between racial groups are the subject of Chapter 3.1, Test scores, class and race.

    What this cannot tell you

    A district's income is not a family's income. The data do not say that a girl or a boy from a poorer family scores differently from one in a richer family in the same district (ecological inferenceEcological inferenceDrawing conclusions about individuals from data about places or groups. A pattern across counties need not hold for the people inside them.). A gap pooled over third through eighth grade cannot show when in school it opens. A gap on state tests can reflect what a test asks as well as how girls and boys learned. SEDA covers public school students tested in 2009 to 2019, reports two groups, male and female, and has no math estimates for Virginia. Whether gaps in school scores carry into adult outcomes is the subject of Chapter 4.4, Boys and mobility (planned).


    Go deeper

    • The report: every estimate with its interval and sample size.
    • Tables: every figure of the report as a table.

    Reading paths that include this chapter:

    Data sources

    • Stanford Education Data ArchiveMale-female test score gaps and all-student scores in reading and math for school districts and counties, third through eighth grade pooled over 2009 to 2019 (version 6.0)Years: 2009-2019 (version 6.0) · Weights: none in the estimates (empirical-Bayes); districts weighted by their number of test scores or counted once, as each figure says · License: CC BY 4.0 (Stanford CEPA); cite SEDA
    • American Community SurveyTract median household income and households, 2019 to 2023, apportioned to school districts with the NCES tract to school district crosswalk (2021 to 2022 school year)Years: 2019-2023 (5-year) · Weights: households, with each tract split across districts by land area · License: Public domain (U.S. Census Bureau)

    All data sources

    References

    1. Reardon, Sean F.; Fahle, Erin M.; Kalogrides, Demetra; Podolsky, Anne; Zárate, Rosalía C. (2019). Gender Achievement Gaps in U.S. School Districts. American Educational Research Journal 56(6): 2474-2508. doi:10.3102/0002831219843824

    How to cite

    @misc{singh2026gendergapsinreadingandmath,
      author = {Singh, Vishal},
      title = {Gender gaps in reading and math},
      year = {2026},
      url = {https://vishalsingh.org/zipcode/gender-gaps-in-reading-and-math},
      note = {In ZIP Code Destiny. Published 9 October 2026.}
    }