Day-level school calendar data for 13,700+ districts, 44M+ students. API access for demand forecasting, travel planning, and market research.
Schools on Break This Week
What you're actually getting -- no hedging, no asterisks.
Day-level rows for every district, every day, across three school years. Filter by confidence to match your risk tolerance — see Confidence Scores below.
365 rows per district per year. Each day is classified: in-session, weekend, holiday, spring break, winter break, summer, etc. No gaps.
0.0 to 1.0 per cell. You decide your threshold. Filter by confidence to match your risk tolerance.
We're continuously auditing source provenance and tightening confidence scores. Filter on confidence to match your tolerance — higher-confidence rows are hand-verified or directly extracted from district sources.
2024-2025, 2025-2026, and 2026-2027. Historical context for year-over-year analysis, plus forward-looking data for planning.
Day-level fields. One row per district per day. Clean, structured, ready for your pipeline.
dateis_in_sessionday_typebreak_nameconfidencesource_methoddistrict_iddistrict_namestateenrollmentschool_yearDay-level rows for every public school district in the United States.
Every public school district in the US is represented with day-level rows across three school years. NCES IDs on every row for easy joins to Census, NCES, and other federal datasets. Confidence scores on every cell let you filter to high-quality rows for your use case.
School schedule data is surprisingly hard to get at scale. Here's who needs it.
Predict crowd patterns by knowing exactly when school breaks start and end across every state. Spring break alone shifts millions of visitors.
Dynamic pricing tied to school calendar clusters. Know which weeks will see family travel surges before your competitors do.
Any business affected by family travel patterns: airlines, rental cars, restaurants, retail. School schedules are one of the strongest demand signals.
Transportation planning, public health modeling, education policy analysis. Federal NCES IDs make joining to other datasets trivial.
Understand regional seasonality patterns at the district level. Which states have late starts? Early summers? Unusual break patterns?
Feed school schedules directly into your models as features. "Percentage of students on break" is a powerful predictor for many time-series problems.
RESTful JSON or CSV. Day-level queries by district, date, state. Dead simple. Read the full docs →
One plan. Everything included. No tiers, no upsells.
All districts. All school years. Day-level data. Full API access.
Need custom datasets or bulk historical data? Contact us →
$99/mo, cancel anytime. Day-level data for every US district, three school years, confidence scores, full API.