Trend in average test score
Whether each new group of students scores higher or lower than the group before, in grade levels per year.
Reported for2,227areas, in 50 states — none in DC, PR
Link to density0.09not mostly about how urban a place is
Nearby places alike0.31Moran’s I: strongly, neighbouring places tend to be similar
Typerategrade levels per cohort
How it has moved
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Every state, every year
Nothing to draw here: this measure has no state figures. Its publisher reports it for counties. This site does not add county numbers up into state figures, since a home-made figure could clash with one an agency publishes itself. The chart above covers the whole country, year by year.
Where it comes from
Stanford Education Data Archive · SEDA cs_mn_tav_ol
Stanford University · pooled over 2009–2019 · Standard errors published (a measure of how far off a figure might be), converted to 90% margins
Change in the average test score from one year's group of students to the next. Time period: pooled over 2009-2019, the years the archive covers; these are pre-pandemic results and describe a decade of testing rather than a single year.
Combining areas: an average weighted by tests taken.
What it goes with
The strongest links that have a page of their own. Unadjusted is the link before adjusting for anything, from −1 (opposite) to +1 (in step). Adjusted compares places with the same population density, income and education levels, so those differences can’t explain the link. This list leaves out the 1 pairs built from the same numbers or the same model as this measure, since they are bound to match.
| Measure | Unadjusted | Adjusted |
|---|---|---|
| Trend in average test score and Learning rateWhere Trend in average test score is higher, Learning rate tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Learning rate by US county | +0.56 | +0.57 |
Population makeup
How this measure varies with the racial and ethnic makeup of counties. Every group is shown, whatever its rank. These are links across counties: they describe places, not people. They say nothing about any person’s risk or behaviour based on their race. Counties with a larger share of one group also differ in much else, such as income, segregation, region and history. The adjusted figure only accounts for density, income and education.
| Share of residents | Unadjusted | Adjusted |
|---|---|---|
| Trend in average test score and Share White, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share White, not Hispanic by US county | +0.03 | +0.04 |
| Trend in average test score and Share Black, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share Black, not Hispanic by US county | -0.02 | -0.01 |
| Trend in average test score and Share Hispanic or Latino, any raceCould easily be chance once only places with similar density, income and education are compared. Share Hispanic or Latino, any race by US county | -0.03 | -0.04 |
| Trend in average test score and Share Asian, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share Asian, not Hispanic by US county | +0.09 | +0.03 |
| Trend in average test score and Share American Indian or Alaska Native, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share American Indian or Alaska Native, not Hispanic by US county | -0.11 | -0.07 |
Highest and lowest
Of 2,227 counties reporting it. These are the two ends of a national ranking. For most measures, that ranking mostly sorts places by income and how urban they are. That is why the place pages compare each place with similar places instead.
Highest
- Franklin County, MS — 0.0656
- Billings County, ND — 0.0645
- Alfalfa County, OK — 0.0627
- Perkins County, NE — 0.0614
- Dakota County, NE — 0.061
Lowest
- Washington County, CO — -0.0856
- Park County, CO — -0.0794
- Hyde County, SD — -0.0791
- Graham County, KS — -0.0773
- Lincoln County, AR — -0.0727
The middle area reports -0.00305. The middle half of counties falls between -0.0151 and 0.015 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works