The Woodside Community School

Lower Economic Need

Queens · Elementary · DBN: 30Q3610

Location

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Address: 39-07 57 Street, Queens, NY 11377
Grades Served: PK,0K,01,02,03,04,05
Principal: NAYEON HWANG
Phone: 718-592-3300
Neighborhood: Woodside
Council District: 26

2024-25 Metrics

Impact Score56%
Student growthabove median (50%)
Performance Score60%
Absolute outcomesabove median (49%)
Economic Need Index65%
Poverty indicatorbelow median (87%)
Enrollment456
Students

Year-over-Year Change

Impact Score

2023-24

59%

2024-25

56%

Performance Score

2023-24

62%

2024-25

60%

Note: Year-over-year changes may reflect cohort differences, not actual school improvement.

Additional Metrics

Student Attendance: 94%
Teacher Attendance: 97%
Principal Tenure: 10.2 years
Teachers 3+ Years: 75%
Instruction Rating: Good
Safety Rating: Excellent
Families Rating: Excellent

Survey Results (% Positive)

Instruction/Learning: 91%
Safety: 88%
School Leadership: 89%
Student Support: 95%
Communication: 97%
Family Involvement: 95%
Family-School Trust: 97%

Survey results reflect responses from families, teachers, and students. Higher percentages indicate more positive responses.

Budget (Fair Student Funding)

YearTotal BudgetFSF Allocation% FundedGap to 100%
2024-25$8,872,103$6,109,102100%$0
2023-24$8,063,836$5,432,238100%$0
2022-23$7,813,294$4,927,278100%$0
0

PTA Financial Summary

YearBeginning BalanceIncomeExpensesEnding Balance
2023-24$24,687$27,201$35,406$16,490

PTA income primarily reflects parent wealth, not school quality. Some schools have very active PTAs while others raise very little.

Discipline (Suspensions)

YearRemovalsPrincipal Susp.Supt. Susp.Total
2022-230000

"Redacted" indicates small counts (1-5) suppressed for privacy. Suspension data reflects systemic patterns as much as individual school decisions. Always consider ENI context.

Data Limitations

  • Only 2 years of Impact Score data available (2023-24, 2024-25)
  • Impact Score methodology not fully disclosed by NYC DOE
  • Cannot determine causation - only patterns and correlations
  • No student mobility data (selection effects cannot be ruled out)
  • Many schools change category year-over-year