Select any US state or Canadian province to instantly see a 7-day snow day prediction powered by real-time weather data.
Get accurate snow day predictions for any state in seconds
Select the USA or Canada tab to browse all states and provinces in that region.
Tap any state card to instantly load live weather data for that state's capital city.
View a 7-day snow day forecast with percentage chances, temperature, and snowfall data.
Use the prediction to prepare for school cancellations, travel, or any snow day activities.
Enable push notifications to get alerted when snow day chances spike in your region.
Compare snow chances across states and share predictions with family, students, or colleagues.
Not all snow days are created equal. The same winter storm that brings a Georgia school district to a complete standstill for three days might not even delay a school bus in northern Minnesota. State snow day prediction tools exist precisely to capture this reality and understanding how they work state by state makes you a far smarter reader of any forecast.
Every U.S. state and Canadian province has developed its own unique relationship with winter weather over decades, shaped by geography, infrastructure investment, historical climate patterns, and community expectations. Prediction systems must account for all of these variables to produce probability scores that are actually meaningful.
"A school district in Minnesota may stay open during a 6-inch snowfall that would close schools in Georgia for a week."
The Snow Day Calculator, on regional closure context
The most obvious reason is geography and climate exposure. States in the Great Lakes region, New England, and the upper Midwest experience frequent, heavy snowfall their communities, road crews, and school systems have adapted accordingly. States in the Deep South or along the Gulf Coast may see significant snow events only once every several years, leaving them with far less infrastructure and institutional experience to manage winter road conditions.
Consider the equipment gap alone. A state like Michigan maintains thousands of snowplows, pre-treats roads with brine solutions days before a storm, and has decades of municipal experience with storm response. A state like Mississippi may have a small fraction of that capacity per road-mile. The same 3 inches of snow produces radically different road conditions in each state because the response capacity is so different.
Road clearance is only part of the equation. School buses carry children, and bus drivers in high-snowfall states are typically trained for winter driving conditions. In lower-snowfall states, drivers and private motorists alike may have little experience navigating icy or snow-covered roads, raising the risk threshold at which administrators decide to close schools.
State snow day prediction models embed regional closure knowledge essentially, how much snow or how severe conditions need to be before schools in a given area historically close. Here is how those thresholds generally break down across major U.S. regions:
| Region | Typical Closure Threshold | Sensitivity | Key Reason |
|---|---|---|---|
| New England ME, VT, NH, MA, CT, RI |
8–12+ inches | Low | Heavy plow fleets, community snow culture, experienced drivers |
| Upper Midwest MN, WI, ND, SD, IA |
6–10+ inches | Low | Extreme cold experience, robust road treatment programs |
| Mid-Atlantic NY, NJ, PA, MD, VA |
4–8 inches | Medium | Variable urban vs. rural infrastructure, mixed experience |
| Southeast NC, SC, TN, AL, MS, GA |
1–3 inches | High | Limited plows, rare ice events, low driver experience |
| Deep South / Gulf LA, TX (south), FL |
<1 inch / ice only | Very High | Snow is a rare event; any accumulation causes closures |
| Mountain West CO, UT, WY, MT, ID |
6–12+ inches | Low–Med | Heavy snowfall is expected; elevation and equipment scale together |
| Pacific Northwest WA, OR (lowlands) |
2–4 inches | Medium–High | Wet, heavy snow + hills create unusually hazardous conditions |
Prediction models apply these regional weights so that the same physical storm produces a higher probability score in Atlanta than in Minneapolis — accurately mirroring how local administrators actually make their decisions.
State snow day predictions are expressed as a single probability percentage the estimated likelihood that schools in the state's most populous region will close due to winter weather conditions. This framing is important: the score reflects the major urban and suburban area of a state, not every remote rural district.
A score of 80% or higher means conditions are severe enough that school closures are very likely in the state's major population region. Below 30% signals that normal school operations are expected. The middle range — 30% to 79% — is where local infrastructure, storm timing, and administrator judgment become the decisive factors that no algorithm can perfectly predict.
Historical closure patterns by state Each state's model is calibrated against years of actual closure decisions, meaning the algorithm learns what really causes schools in that region to close — not just what theoretically should.
Temperature and road treatment effectiveness Extremely cold temperatures prevent salt and chemical treatments from working, raising closure probability even when snowfall totals are modest.
Wind and blizzard conditions High winds trigger closures through reduced visibility and drifting snow, independent of accumulation totals this is captured per-region since coastal and plains states experience wind differently.
Bus route and road network realities Rural states with long bus routes and unpaved secondary roads face higher closure risk from the same storm than compact urban districts with well-maintained road networks.
Time of storm relative to school day A storm that peaks at 7 a.m. is more disruptive than one that peaks at noon, and prediction models account for storm timing in their probability outputs.
Winter weather forecasting is a continuously updated science. A storm tracked to deliver 3 inches at 10 p.m. the previous evening may be revised to 8 inches by 4 a.m. or the opposite. Because state snow day predictions are built on real-time meteorological data feeds, probability scores update as forecasts evolve.
During active winter weather events, this means checking a prediction multiple times not just once the night before will give you a progressively sharper picture of closure likelihood. Forecast accuracy improves significantly within the 6–12 hours before a storm event, so scores checked in this window carry more weight than those checked 24–36 hours out.
Check back regularly during winter months, as predictions are refreshed throughout the day as new meteorological data becomes available.
Snow Day Calculator Documentation
State-level predictions necessarily represent the most populous region of each state. A 30% probability for "New York" reflects conditions in the New York City metro area a district in the Adirondacks or Buffalo may see dramatically different snowfall and make a completely different closure decision. Always consider your specific district's location relative to the storm track.
Additionally, school closure decisions are ultimately made by human administrators who know their local roads, staff availability, and community expectations. Probability scores are powerful decision-support tools not guarantees. A 75% score means a closure is likely, not certain. Always watch for official announcements from your school district.
State snow day predictions cover all 50 U.S. states and 13 Canadian provinces, each calibrated to its own regional closure thresholds and historical weather patterns.
Our Snow Day Calculator uses a multi-factor prediction algorithm to estimate the likelihood of school closures across all 50 US states and 13 Canadian provinces. Here's how we calculate your state's snow day probability:
We update predictions every 3 hours using live weather station data and official meteorological forecasts.
Every US state and Canadian province has its own unique relationship with winter weather. A school district in Minnesota may stay open during a 6-inch snowfall that would close schools in Georgia for a week. Our state-by-state predictions account for these regional differences.
Our predictions are displayed as a probability percentage the likelihood that schools in the state's most populous region will close due to winter weather conditions. A score of 80% or higher means conditions are severe enough that closures are very likely. Below 30% indicates normal operations are expected.
Check back regularly during winter months, as predictions are refreshed throughout the day as new weather data becomes available.
Our predictions use real-time weather data and a multi-factor algorithm that weighs snowfall amounts, temperatures, wind speed, and regional school closure policies. Accuracy is highest within 48 hours of the predicted event. Beyond 48 hours, predictions become estimates based on forecast trends. We recommend checking again the night before for the most reliable results.
Each state's snow day prediction is based on weather conditions in the state's most populous metropolitan area or capital city as a representative sample. Conditions in rural areas or mountains may differ significantly. If your school district is in a different part of the state, we recommend also using our main calculator with your specific ZIP code for the most accurate local prediction.
States in the northern US and Great Lakes region historically see the most snow day closures. Alaska, Minnesota, Michigan, Wisconsin, and upstate New York lead the country in annual snowfall. However, southern states like Alabama, Georgia, and Tennessee can experience more school closures per inch of snowfall because they have fewer snow removal resources and less experience managing winter weather events.
Yes! Our States page includes all 13 Canadian provinces and territories, from British Columbia to Newfoundland. Simply click the Canada tab at the top of the states grid to switch to Canadian provinces. Each province shows its own snow day probability based on real-time weather data for its major population center.
Weather data is refreshed approximately every 3 hours. Snow day predictions are recalculated each time new data arrives from our weather sources. During active winter storm events, we prioritize more frequent updates. The timestamp on each prediction shows when it was last calculated so you always know how fresh the data is.
Rarely but it does happen. Florida has recorded snowfall events in the northern panhandle region, and Texas experienced a historic winter storm in February 2021 that caused widespread school and government closures across the entire state. Southern states are actually more vulnerable to disruption from smaller amounts of snow or ice because infrastructure for snow removal is limited and residents have less experience driving in winter conditions.