New York City School Discipline and Teacher Climate Survey Data

This longitudinal dataset represents over one thousand public middle and high schools in New York City from the 2011-12 to 2018-19 school years. It combines administrative and teacher survey data to examine relationships between teacher characteristics, perceptions of school climate, and suspension rates.

Use Cases

• Analyze the relationship between teacher perceptions of school climate and rates of office referrals and suspensions.
• Examine how teacher characteristics, such as years of teaching experience, correlate with suspension disparities for Black and Latinx students.
• Investigate the association between the share of Black teachers in a school and overall suspension rates using longitudinal regression methods.
• Study the variation in school discipline patterns across the 32 geographic school districts in NYCPS over an eight-year period.

Strengths

• Longitudinal data spanning eight school years from 2011-12 to 2018-19.
• Covers over one thousand public middle and high schools in New York City.
• Data is structured across 32 geographic school districts for spatial analysis.

Limitations

• Specific column names, row counts, and file formats are unknown, limiting immediate analytical utility.
• Data is limited to New York City Public Schools (NYCPS), which may not be generalizable to other regions.
• The dataset's recency ends with the 2018-19 school year, preceding significant policy and social changes.

Provenance

Source

Research Alliance for New York City Schools (RANYCS)

Collection Method

Combined administrative records and teacher survey data.

Time Range

2011-12 to 2018-19 school years

Freshness

Last updated metadata indicates 2026-02-23, but the underlying data covers up to the 2018-19 school year.

Geography

New York City Public Schools (NYCPS), across 32 geographic school districts