allk12 · Rankings · Highest poverty · New Jersey · Cumberland County · Middle schools

The highest-poverty public middle schools in Cumberland County, New Jersey

6 public middle schools in Cumberland County, New Jersey appear in this ranking of the highest-poverty public middle schools, ranked by share of students eligible for free or reduced-price lunch. Lakeside Middle School leads the list at 79.2%, against a median of 66.0% across the ranked schools.

Sort any column, filter to a school or district, or download the full ranking as a CSV. Source data is federal NCES and state assessment reporting, 2024-25.

Schools ranked

Cumberland County, New Jersey

Top % FRL

79.2%

Median % FRL

66.0%

HIGHEST POVERTY · CUMBERLAND COUNTY, NEW JERSEY

#	School	City	District	Level	Students	% FRL
1	Lakeside Middle School	MILLVILLE, NJ	Millville School District	Middle	929	79.2%
2	Thomas W. Wallace Jr. Middle School	VINELAND, NJ	Vineland Public School District	Middle	695	75.4%
3	Veterans Memorial Middle	VINELAND, NJ	Vineland Public School District	Middle	603	72.0%
4	Woodruff Middle School	Seabrook, NJ	Upper Deerfield Township School District	Middle	253	60.1%
5	Edward Johnstone Middle School	VINELAND, NJ	Vineland Public School District	Middle	355	53.5%
6	Sgt. Dominick Pilla Middle School	Vineland, NJ	Vineland Public School District	Middle	620	53.4%

Page 1 of 1 · top 6 of 6 ranked. NCES + state assessment data, 2024-25.↓ Download full CSV

All schools in Cumberland County →

Highest poverty rankings at a wider scope

All New Jersey Nationwide

Other rankings for Cumberland County, New Jersey

Largest Most diverse Highest proficiency Lowest poverty Lowest proficiency Most Hispanic Most Black Most White Most Asian

All ranking categories →

DATA NOTICE

allk12 is independent and not affiliated with, endorsed by, or sponsored by NCES, the US Census Bureau, any state education agency or assessment program, or any other government agency. Source data is compiled from public records and provided "as is," without warranty of accuracy or completeness. You rely on it, and any analysis derived from it, at your own risk. See the full disclaimer.