PantryPath Research · School Hunger Atlas
School hunger in Nebraska
31% certified free/reducedAcross 1,015 public schools serving 327,100 students, 31.4% of Nebraska students are certified free or reduced-price. 167 schools (18% of NSLP participants) operate under the Community Eligibility Provision, and 18.6% of students are directly certified through SNAP, TANF, or Medicaid linkage.
327K
Students enrolled
1,015
Public schools (CCD)
167
CEP / Provision 2 schools
93
Counties in atlas
Nebraska by county
← Back to national atlasToggle between the school-food-access composite, free/reduced eligibility, CEP share, direct-certification rate, and SAIPE school-age poverty. Hover a county to see schools, enrollment, and the underlying certification mix.
Loading county map…
Nebraska at a glance
Free/reduced
31.4%
Share of enrollment
CEP share
18%
Of NSLP schools
Direct cert
18.6%
SNAP/TANF/Medicaid
NSLP schools
90%
Serve NSLP meals
5–17 in poverty
10.3%
Census SAIPE 2023
Access score
0.39
Composite 0–1
The access score is a 0–1 composite weighted 50% eligibility, 30% CEP share, 20% NSLP share — a visualization and ranking aid, not a direct measurement. See methodology.
County-level hotspots
Top five counties across 93 in Nebraska.
Highest free/reduced share
Certified ≤185% FPL per enrollment
- 1 Dakota 67.5%
- 2 Dawson 64.6%
- 3 Dodge 62.1%
- 4 Loup 61.8%
- 5 Keya Paha 56.7%
Highest CEP adoption
Of NSLP schools — min. 3 NSLP schools
- 1 Banner 100%
- 2 Morrill 100%
- 3 Franklin 75%
- 4 Thurston 70%
Largest enrollment
Total students in CCD universe
- 1 Douglas 97K
- 2 Lancaster 47K
- 3 Sarpy 33K
- 4 Hall 12K
- 5 Buffalo 8K
Every county in Nebraska
All 93 counties with school counts, enrollment, certification mix, CEP adoption, and the SAIPE 5–17 poverty backdrop.
| County | Schools | Enrollment | Free/reduced | CEP | Direct cert | 5–17 poverty | Access |
|---|---|---|---|---|---|---|---|
| Adams | 17 | 5,137 | 48.6% | 0% | 0.0% | 12.8% | 0.38 |
| Antelope | 7 | 971 | 45.2% | 0% | 0.0% | 12.2% | 0.37 |
| Arthur | 2 | 114 | 0.0% | — | 0.0% | 18.5% | 0.00 |
| Banner | 3 | 140 | 0.0% | 100% | 93.6% | 15.3% | 0.50 |
| Blaine | 1 | 37 | 51.3% | 0% | 0.0% | 28.1% | 0.46 |
| Boone | 7 | 988 | 32.2% | 29% | 13.4% | 10.5% | 0.45 |
| Box Butte | 7 | 1,743 | 53.2% | 0% | 0.0% | 13.8% | 0.44 |
| Boyd | 4 | 322 | 54.4% | — | 0.0% | 18.6% | 0.27 |
| Brown | 4 | 389 | 47.0% | 0% | 0.0% | 14.6% | 0.44 |
| Buffalo | 27 | 8,430 | 40.5% | 0% | 0.0% | 8.6% | 0.39 |
| Burt | 6 | 1,228 | 41.2% | 0% | 0.0% | 11.3% | 0.41 |
| Butler | 6 | 1,004 | 35.6% | 0% | 0.0% | 9.3% | 0.38 |
| Cass | 15 | 3,956 | 31.1% | 0% | 0.0% | 7.7% | 0.34 |
| Cedar | 10 | 1,210 | 39.1% | 0% | 0.0% | 8.9% | 0.40 |
| Chase | 4 | 557 | 48.6% | 0% | 0.0% | 11.6% | 0.44 |
| Cherry | 8 | 768 | 47.4% | 0% | 0.0% | 16.0% | 0.39 |
| Cheyenne | 9 | 1,450 | 46.4% | 0% | 0.0% | 15.9% | 0.43 |
| Clay | 8 | 1,093 | 34.4% | 43% | 18.1% | 9.9% | 0.48 |
| Colfax | 14 | 2,643 | 54.9% | 0% | 0.0% | 11.5% | 0.45 |
| Cuming | 7 | 1,469 | 43.6% | 29% | 13.5% | 10.1% | 0.50 |
| Custer | 15 | 1,872 | 37.1% | 13% | 7.8% | 12.7% | 0.43 |
| Dakota | 11 | 4,365 | 67.5% | 9% | 4.5% | 19.5% | 0.56 |
| Dawes | 7 | 1,176 | 41.9% | 0% | 0.0% | 15.7% | 0.38 |
| Dawson | 18 | 5,513 | 64.6% | 0% | 0.0% | 13.4% | 0.52 |
| Deuel | 5 | 415 | 56.4% | 0% | 0.0% | 17.5% | 0.48 |
| Dixon | 5 | 566 | 29.9% | 0% | 0.0% | 9.1% | 0.35 |
| Dodge | 20 | 6,844 | 62.1% | 0% | 0.0% | 10.2% | 0.49 |
| Douglas | 174 | 96,667 | 13.1% | 53% | 44.1% | 11.2% | 0.40 |
| Dundy | 2 | 273 | 0.0% | 100% | 69.6% | 19.1% | 0.50 |
| Fillmore | 8 | 936 | 30.2% | 0% | 0.0% | 10.2% | 0.28 |
| Franklin | 4 | 343 | 5.8% | 75% | 56.6% | 15.8% | 0.45 |
| Frontier | 6 | 569 | 45.9% | 0% | 0.0% | 16.9% | 0.43 |
| Furnas | 7 | 1,005 | 50.5% | 0% | 0.0% | 16.3% | 0.45 |
| Gage | 12 | 3,093 | 43.0% | 20% | 8.2% | 10.5% | 0.44 |
| Garden | 2 | 232 | 34.1% | 0% | 0.0% | 23.6% | 0.37 |
| Garfield | 2 | 292 | 38.0% | 0% | 0.0% | 13.4% | 0.39 |
| Gosper | 2 | 184 | 22.8% | 0% | 0.0% | 13.0% | 0.31 |
| Grant | 2 | 140 | 41.4% | 0% | 0.0% | 14.9% | 0.41 |
| Greeley | 5 | 438 | 54.3% | 0% | 0.0% | 13.0% | 0.47 |
| Hall | 27 | 12,240 | 42.6% | 39% | 22.3% | 12.4% | 0.50 |
| Hamilton | 8 | 1,659 | 35.9% | 0% | 0.0% | 9.0% | 0.35 |
| Harlan | 2 | 382 | 41.1% | 0% | 0.0% | 11.5% | 0.41 |
| Hayes | 2 | 148 | 50.7% | 0% | 0.0% | 18.9% | 0.45 |
| Hitchcock | 3 | 391 | 54.7% | 0% | 0.0% | 18.2% | 0.47 |
| Holt | 9 | 1,584 | 48.5% | 0% | 0.0% | 14.0% | 0.44 |
| Hooker | 3 | 165 | 48.5% | 0% | 0.0% | 12.2% | 0.44 |
| Howard | 7 | 1,429 | 31.4% | 40% | 5.6% | 11.6% | 0.42 |
| Jefferson | 8 | 1,690 | 46.4% | 0% | 0.0% | 12.8% | 0.43 |
| Johnson | 6 | 745 | 49.0% | 0% | 0.0% | 12.1% | 0.45 |
| Kearney | 7 | 1,306 | 35.0% | 0% | 0.0% | 9.0% | 0.38 |
| Keith | 4 | 1,022 | 52.8% | 0% | 0.0% | 15.8% | 0.46 |
| Keya Paha | 2 | 90 | 56.7% | 0% | 0.0% | 19.1% | 0.48 |
| Kimball | 3 | 476 | 47.9% | 0% | 0.0% | 14.3% | 0.44 |
| Knox | 15 | 1,774 | 26.7% | 38% | 24.5% | 17.5% | 0.42 |
| Lancaster | 80 | 47,290 | 39.1% | 13% | 7.5% | 8.3% | 0.41 |
| Lincoln | 22 | 5,185 | 30.8% | 27% | 21.0% | 12.8% | 0.44 |
| Logan | 2 | 165 | 21.2% | 0% | 0.0% | 10.6% | 0.31 |
| Loup | 2 | 89 | 61.8% | 0% | 0.0% | 25.9% | 0.51 |
| Madison | 20 | 6,141 | 50.9% | 0% | 0.0% | 10.1% | 0.44 |
| McPherson | 2 | 52 | 0.0% | — | 0.0% | 19.2% | 0.00 |
| Merrick | 7 | 1,241 | 43.9% | 0% | 0.0% | 10.2% | 0.39 |
| Morrill | 5 | 876 | 1.3% | 100% | 66.9% | 18.2% | 0.47 |
| Nance | 4 | 701 | 38.9% | 0% | 0.0% | 12.8% | 0.39 |
| Nemaha | 6 | 1,339 | 37.3% | 0% | 0.0% | 12.4% | 0.35 |
| Nuckolls | 6 | 662 | 14.1% | 60% | 41.4% | 15.1% | 0.42 |
| Otoe | 9 | 2,520 | 39.6% | 0% | 0.0% | 8.6% | 0.38 |
| Pawnee | 4 | 459 | 42.5% | 0% | 0.0% | 19.7% | 0.41 |
| Perkins | 2 | 415 | 32.5% | 0% | 0.0% | 10.9% | 0.36 |
| Phelps | 8 | 1,531 | 42.6% | 0% | 0.0% | 10.1% | 0.41 |
| Pierce | 6 | 1,213 | 30.8% | 0% | 0.0% | 9.8% | 0.35 |
| Platte | 16 | 5,428 | 50.8% | 0% | 0.0% | 7.3% | 0.43 |
| Polk | 10 | 1,130 | 34.4% | 0% | 0.0% | 8.1% | 0.37 |
| Red Willow | 6 | 1,701 | 44.5% | 0% | 0.0% | 12.2% | 0.42 |
| Richardson | 7 | 1,200 | 44.0% | 0% | 0.0% | 12.0% | 0.42 |
| Rock | 2 | 226 | 33.2% | 0% | 0.0% | 19.6% | 0.37 |
| Saline | 12 | 3,359 | 52.6% | 0% | 0.0% | 11.4% | 0.43 |
| Sarpy | 71 | 33,211 | 21.6% | 18% | 15.5% | 4.7% | 0.32 |
| Saunders | 16 | 3,616 | 27.0% | 0% | 0.0% | 6.6% | 0.34 |
| Scotts Bluff | 26 | 6,518 | 50.2% | 28% | 11.7% | 17.1% | 0.47 |
| Seward | 8 | 2,771 | 26.3% | 0% | 0.0% | 6.5% | 0.33 |
| Sheridan | 8 | 740 | 12.7% | 50% | 49.3% | 20.7% | 0.41 |
| Sherman | 4 | 459 | 51.6% | 0% | 0.0% | 14.6% | 0.46 |
| Sioux | 4 | 88 | 15.9% | 0% | 0.0% | 21.5% | 0.28 |
| Stanton | 3 | 594 | 49.2% | 0% | 0.0% | 8.2% | 0.45 |
| Thayer | 8 | 847 | 37.9% | 0% | 0.0% | 11.7% | 0.39 |
| Thomas | 3 | 174 | 19.0% | 67% | 51.7% | 22.5% | 0.49 |
| Thurston | 11 | 2,168 | 11.3% | 70% | 73.9% | 24.1% | 0.45 |
| Valley | 4 | 694 | 44.8% | 0% | 0.0% | 15.6% | 0.42 |
| Washington | 9 | 3,769 | 24.6% | 0% | 0.0% | 5.7% | 0.32 |
| Wayne | 8 | 1,852 | 45.7% | 0% | 0.0% | 9.1% | 0.43 |
| Webster | 5 | 715 | 39.0% | 0% | 0.0% | 13.9% | 0.40 |
| Wheeler | 2 | 128 | 19.5% | 0% | 0.0% | 20.4% | 0.30 |
| York | 8 | 2,160 | 40.9% | 0% | 0.0% | 8.8% | 0.38 |
Nebraska school meals guide
How free and reduced-price school lunch eligibility works, application steps, and what to do if your child's school is not in CEP.
School meals guideSummer meals
When the school year ends, NSLP and CEP stop. The Summer Food Service Program and Summer EBT fill the gap for the 102,737 children who rely on school meals in Nebraska.
Summer meals guideFamilies with children
SNAP, WIC, Head Start, and the full federal-program stack for households with kids — the assistance ecosystem around the school cafeteria.
Families guideNebraska child poverty
The sibling atlas — county-level child poverty across Nebraska. Free/reduced eligibility and child poverty track each other closely but not perfectly.
Nebraska child poverty atlasNebraska pantries
Verified food pantries, food banks, and meal programs across Nebraska — open weeknights, weekends, and through the summer gap.
Nebraska pantry directoryMethodology
How we aggregated NCES Common Core of Data school-level records to counties,
proxied CEP from lunch_program == 2,
and layered SAIPE school-age poverty — plus the access-score formula.