allk12 · Rankings · Lowest poverty · Michigan · Dickinson County

The lowest-poverty (most affluent) public schools in Dickinson County, Michigan

This ranking covers the lowest-poverty (most affluent) public schools in Dickinson County, Michigan, drawn from 10 qualifying public schools. North Dickinson School leads the list at 26.0%, against a median of 42.2% across the ranked schools.

The table below is sortable and filterable, and the full list downloads as a CSV. Figures come from federal NCES enrollment data and, where applicable, state assessment results for 2024-25.

Schools ranked

Dickinson County, Michigan

Best % FRL

26.0%

Median % FRL

42.2%

LOWEST POVERTY · DICKINSON COUNTY, MICHIGAN

#	School	City	District	Level	Students	% FRL
1	North Dickinson School	FELCH, MI	North Dickinson County Schools	Combined	250	26.0%
2	Norway High School	NORWAY, MI	Norway-Vulcan Area Schools	High	183	29.5%
3	Kingsford High School	KINGSFORD, MI	Breitung Township School District	High	566	38.0%
4	Vulcan Middle School	NORWAY, MI	Norway-Vulcan Area Schools	Middle	141	38.3%
5	Norway Elementary School	NORWAY, MI	Norway-Vulcan Area Schools	Elementary	242	40.1%
6	Kingsford Middle School	KINGSFORD, MI	Breitung Township School District	Middle	608	44.2%
7	Woodland Elementary School	KINGSFORD, MI	Breitung Township School District	Elementary	771	46.3%
8	Iron Mountain High School	IRON MOUNTAIN, MI	Iron Mountain Public Schools	High	243	52.3%
9	North Elementary School	IRON MOUNTAIN, MI	Iron Mountain Public Schools	Elementary	263	63.5%
10	Central Middle School	IRON MOUNTAIN, MI	Iron Mountain Public Schools	Middle	109	67.0%

Page 1 of 1 · top 10 of 10 ranked. NCES + state assessment data, 2024-25.↓ Download full CSV

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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.