Snow Day Calculator

Enter your local weather conditions to get an estimated snow day probability. Input expected snowfall, current temperature, wind speed, school type, and snow days already used this year — and the calculator returns a chance of school cancellation along with a breakdown of contributing factors. Great for students, parents, and teachers keeping an eye on tomorrow's forecast.

inches

Total snowfall expected overnight or by morning

°F

Outside temperature at forecast time

mph

Sustained wind speed — higher winds increase drifting and closure chances

Rural and boarding schools tend to close less often; urban schools close more readily

days

Schools with fewer used days may be more cautious about calling off

Overnight snow dramatically raises closure chances

inches

Existing snow accumulation before the new storm

Results

Snow Day Probability

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Snowfall Impact Score

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Wind & Temperature Score

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School Factor Score

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Timing & Ice Score

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Prediction

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Snow Day Probability Breakdown

Frequently Asked Questions

How is the snow day probability calculated?

The calculator scores four key factors — expected snowfall, wind speed and temperature, school type and days used, and storm timing and ice presence — each weighted differently. These scores are summed and converted to a percentage probability. Overnight heavy snowfall with icy roads and high winds scores highest, while light afternoon flurries at a boarding school score much lower.

What amount of snowfall typically causes a school closure?

There's no universal threshold — it depends heavily on region, school type, and road conditions. In general, 4–6 inches of overnight snow can cause closures in areas unaccustomed to heavy snowfall, while regions in the northern Midwest or New England may stay open through 10+ inches. Ice and wind are often bigger factors than snowfall totals alone.

Does school type affect the chance of a snow day?

Yes, significantly. Urban public schools tend to close more readily due to bus routes and pedestrian safety concerns. Rural public schools often stay open because students are more accustomed to winter conditions and roads are plowed early. Private and boarding schools historically have the lowest closure rates.

Why does storm timing matter so much?

Decisions about school closures are usually made by 5–6 AM. If heavy snow falls overnight or in the early morning hours before the decision window, administrators can see accumulation and road conditions firsthand. Snow that falls during or after school hours has almost no impact on next-day closure decisions.

How do snow days already used affect the prediction?

Schools typically have a set number of built-in snow days per year. If a district has already used most of them, administrators may be reluctant to call another unless conditions are extreme — since additional cancellations require adding days at the end of the year. Conversely, early in the year with no days used, schools may be quicker to close.

Does ice or sleet increase snow day chances more than snow?

Often yes. Ice-covered roads and sidewalks are far more dangerous than snowy ones, and school bus safety is a top priority for administrators. Even a relatively small amount of freezing rain can push closure probability higher than several inches of fluffy, manageable snow.

How accurate is this snow day predictor?

This tool provides an educational estimate based on widely recognized factors that school administrators consider. It cannot account for hyperlocal road conditions, specific district policies, or real-time weather model data. For the most reliable prediction, combine this estimate with your local news, school district alerts, and weather service forecasts.

What's the best way to find out if school is actually canceled?

Check your school district's official website, sign up for automated phone or email alerts from your district, and monitor local TV news or radio stations. Many districts also post closures on their social media pages. The decision is usually announced by 5–6 AM on the day in question.

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