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allk12 · Rankings · Lowest poverty · California · Lake County · Elementary schools

The lowest-poverty (most affluent) public elementary schools in Lake County, California

12 public elementary schools in Lake County, California appear in this ranking of the lowest-poverty (most affluent) public elementary schools, ranked by the smallest share of students eligible for free or reduced-price lunch. Coyote Valley Elementary leads the list at 43.3%, against a median of 79.8% across the ranked schools.

Use the search box to find a specific school within this ranking, sort by any column, or export the full list. Built from NCES and state data for 2024-25.

Schools ranked
12
Lake County, California
Best % FRL
43.3%
Median % FRL
79.8%
LOWEST POVERTY · LAKE COUNTY, CALIFORNIA
#SchoolCityDistrictLevelStudents% FRL
1Coyote Valley ElementaryHidden Valley Lake, CAMiddletown UnifiedElementary42743.3%
2Cobb Mountain ElementaryCobb, CAMiddletown UnifiedElementary11046.4%
3Minnie Cannon ElementaryMiddletown, CAMiddletown UnifiedElementary16462.8%
4Riviera ElementaryKelseyville, CAKelseyville UnifiedElementary28765.9%
5Kelseyville ElementaryKelseyville, CAKelseyville UnifiedElementary54375.0%
6East LakeClearlake Oaks, CAKonocti UnifiedElementary19579.5%
7Lower Lake ElementaryLower Lake, CAKonocti UnifiedElementary74380.1%
8Lakeport ElementaryLakeport, CALakeport UnifiedElementary53081.5%
9Burns ValleyClearlake, CAKonocti UnifiedElementary56882.2%
10Upper Lake ElementaryUpper Lake, CAUpper Lake UnifiedElementary42983.4%
11Lucerne ElementaryLucerne, CALucerne ElementaryElementary28284.4%
12PomoClearlake, CAKonocti UnifiedElementary70285.3%
Page 1 of 1 · top 12 of 12 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.