What Your School Climate Data Is Trying to Tell You

The school year has ended. Somewhere in your building, there is a spreadsheet, a report, or a dashboard with numbers that tell the story of this year.

Behavior referrals. Suspension rates. Attendance data. Staff turnover. Counselor caseloads.

Most administrators look at this data, share a summary at a board meeting, and file it away. But this data is trying to tell you something. And if you listen, it can reshape how you approach the fall.

Pull your referral data for the year. Do not just look at the total number. Look at the patterns.

• When did referrals peak? Most schools see spikes in October, February, and April through May. If your spikes were dramatically higher in one period, that tells you something about what was happening in your building during that window.

• Who was being referred? Are the same 15 students generating 60% of your referrals? That is not a behavior problem. That is a Tier 2 and 3 problem. Those students need targeted intervention, not more consequences.

• What behaviors were most common? If defiance and disruption dominate, that usually points to a regulation gap, not a respect gap. Students who cannot regulate their emotions or bodies will always look “defiant” to a system that expects compliance.

• Where were referrals happening? Hallways, cafeteria, and transitions between classes are common hotspots. If that is your pattern, your Tier 1 support is not reaching the unstructured moments of the day.

A student who misses 18 or more days in a year is considered chronically absent. In many districts, that is 15% to 20% of students.

But the raw numbers do not tell the full story. Look at when absences happen. Monday absences often signal that something difficult happened over the weekend. Absences that cluster around testing windows suggest anxiety. A student who was present every day until March and then started missing tells a different story than a student who was absent sporadically all year.

Attendance is a behavior. And like all behavior, it has a “why.”

If your attendance data shows a significant chronically absent population, the response should not be more truancy letters. It should be a conversation about why students do not feel safe, connected, or motivated enough to come to school.

How many teachers left this year? How many requested transfers? How many are not returning?

Administrators often treat staff turnover as a staffing problem. It is a climate problem.

When teachers leave, they take institutional knowledge, student relationships, and team culture with them. Every departure creates a ripple that students feel, especially students who struggle with attachment and trust.

If your turnover rate is above 15%, your school climate is sending a message. Teachers leave when they feel unsupported, overwhelmed, or undervalued. They stay when they feel equipped, respected, and part of something that works.

Here is a framework for turning end-of-year data into fall action:

Identify your top three patterns. Not everything. Three. The three patterns that, if addressed, would have the biggest impact on students and staff.

• Connect each pattern to a root cause. If referrals spiked in February, was it because Tier 1 support faded after the holiday break? If attendance dropped for 9th graders, was the transition from middle school inadequately supported? If three teachers in the same department left, what was happening in that department?

• Match each root cause to a response. This is where planning happens. If the root cause is a weak Tier 1 foundation, the response might be adopting a trauma-informed SEL curriculum.

• If the root cause is teacher burnout, the response might be restructuring PD and adding support systems. If the root cause is a Tier 2 gap, the response might be an MTSS intervention program.

Build the response into your fall plan. Not as an add-on. As a priority. With a timeline, an owner, and a way to measure progress.

Our school partner like Meridian Public School District that document outcomes of 74% reductions in behavior referrals and 20% attendance improvement over 3 years did not get there by accident. They got there by reading their data honestly, identifying what was not working, and choosing an evidence-based, trauma-informed response.

The most common mistake I see is buying a solution without first understanding the problem. The second most common mistake is understanding the problem and then doing nothing about it because summer feels like “not the right time.”

Summer is exactly the right time. Your data is fresh. Your memory of this year is fresh. Your motivation to make next year different is at its peak.

If you want help interpreting your data or thinking through what response fits your building, I am happy to be a thought partner. No cost, no obligation. Just a conversation. You can reach me at pam@respectfulways.com or visit respectfulways.com/contact.