P.S. 071 Forest

Lower Economic Need

Queens · Elementary · DBN: 24Q0710

Location

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Address: 62-85 FOREST AVENUE, QUEENS, NY 11385
Grades Served: 0K,01,02,03,04,05
Principal: Indiana Soto
Phone: 718-821-7772
Neighborhood: Ridgewood
Council District: 30

2024-25 Metrics

Impact Score40%
Student growthbelow median (50%)
Performance Score43%
Absolute outcomesbelow median (49%)
Economic Need Index73%
Poverty indicatorbelow median (87%)
Enrollment409
Students

Year-over-Year Change

Impact Score

2023-24

44%

2024-25

40%

Performance Score

2023-24

46%

2024-25

43%

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

Additional Metrics

Student Attendance: 90%
Teacher Attendance: 94%
Principal Tenure: 12 years
Teachers 3+ Years: 89%
Instruction Rating: Good
Safety Rating: Good
Families Rating: Good

Survey Results (% Positive)

Instruction/Learning: 95%
Safety: 90%
School Leadership: 95%
Student Support: 93%
Communication: 95%
Family Involvement: 92%
Family-School Trust: 96%

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$12,730,451$5,630,475100%$0
2023-24$12,619,856$5,640,623100%$0
2022-23$12,144,153$5,818,238100%$0
0

PTA Financial Summary

YearBeginning BalanceIncomeExpensesEnding Balance
2024-25$581$43,684$41,080$2,604
2023-24$191$28,581$279,976$584
2022-23$448$6,609$91$6,518

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