← Back to story

Borough & districtFull briefing

The chronic absenteeism map looks like the temporary-housing map

The longer form of the briefing for this story: the original thesis, the supporting findings the data team flagged, and the reporting directions a journalist could follow. For the short version and the data analysis, see the main story page.

Thesis

Schools with high concentrations of students in temporary housing (shelters, doubled-up families) have systematically worse attendance, year after year. The relationship is strong enough that you could draw the chronic absenteeism map from the temporary housing data alone — pointing at housing policy, not school policy, as the leverage point.

Supporting findings

  • NYC publishes % students in temporary housing per school (we don't have this loaded yet — separate xlsx).
  • Anecdotally: schools with 20%+ STH have chronic absenteeism well above citywide average.
  • Manhattan's chronic absenteeism lead (41%) probably tracks Manhattan shelter density (highest in NYC).
  • Compare with school-level attendance among STH-only kids (NYC publishes by subgroup).
  • Bronx + Brooklyn shelter expansion (post-2022 migrant influx) — did absenteeism rise faster at recipient schools?
  • Cross-reference with NYC migrant influx data and HOTLINE 311 housing-emergency calls by district.
  • Mayor Adams has emphasized housing as 'the foundation of all other progress' — does the data support that for school outcomes?
  • What works for STH kids specifically? NYC's 'Educational Support and Family Resource Centers' (ESFRCs) — measure outcome lift at served schools.
  • Federal McKinney-Vento law requires transportation support — is NYC compliant + effective?
  • Compare with LA Unified's homeless-student services for benchmarking.

Reporting directions

  • Ingest the NYC DOE Temporary Housing data feed.
  • Build the absenteeism vs STH-concentration scatter.
  • Profile a Bronx school with high STH and improved attendance — what they did.
  • Interview Liza Pappas (NYC Independent Budget Office) on her STH research.

See the data analysis →