NYC charter teachers don't recommend their own schools

Summary

Compared average survey_teacher_recommend_school between charter schools (school_type='CHARTER') and district schools (school_type='DOE_PUBLIC'), controlling for grade_band.

Data sources

• Database tableschools

  One row per New York City public school (DBN, name, district, borough, school_type, grade_band, latest_enrollment, proclivity_decile, proclivity_score, closed_at, admission_category).

• Database tableschool_year_metrics

  Long-format per-school per-year metric facts (school_dbn, year, metric_key, subgroup, value, suppressed). Loaded from DOE/NYSED public files via scripts/loaders/*.

Steps

1. Group by school_type × grade_band; average the survey item.

   SELECT s.school_type::text, s.grade_band::text, AVG(m.value), COUNT(*)
     FROM schools s JOIN school_year_metrics m ON m.school_dbn=s.dbn
    WHERE m.metric_key='survey_teacher_recommend_school' AND m.year='2023-24' AND m.suppressed=false
    GROUP BY s.school_type, s.grade_band;

Reproduce

Clone the repo, set DATABASE_URL to a Postgres with the project schema loaded, run `npx tsx scripts/loaders/<source>.ts` for any not-yet-loaded data, then issue the queries in the Steps section. The story page also lists the exact `metric_key`/`subgroup`/`year` filters used. Searchable by the answer's headline number — every figure is recomputable from the queries shown.