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PantryPath Research · WIC Coverage Atlas

WIC in North Dakota

56.3% coverage

North Dakota's WIC program reaches 56.3% of eligible residents — an estimated 9,000 participants out of 16,000 who qualify. That leaves 7,000 pregnant women, infants, and young children eligible but not receiving WIC's food package or nutrition counseling.

16K

WIC eligibles

9K

Participants (FY2024 avg)

7K

Unserved eligibles

53

Counties

North Dakota by county

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Toggle between estimated WIC eligibles, unserved gap, low-income child counts, and child-poverty share. Hover a county for its exact value.

Note: USDA does not publish sub-state WIC participation, so every county in North Dakota inherits the state's 56.3% coverage rate. County-level eligibles are allocated from state totals in proportion to the county's share of low-income children under 6 (ACS B17024). See methodology.

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North Dakota at a glance

Coverage rate

56.3%

Participants ÷ eligibles

Participation gap

43.8%

1 − coverage

Eligibles

16K

USDA FNS FY2022

Participants

9K

Monthly avg FY2024

Unserved

7K

Eligibles − participants

Kids < 6 low-income

16K

26.9% of universe

County-level hotspots

Top five counties across 53 counties in North Dakota.

Most WIC eligibles

Estimated eligible population

  1. 1 Cass 3K
  2. 2 Grand Forks 2K
  3. 3 Burleigh 2K
  4. 4 Williams 1K
  5. 5 Ward 1K

Largest unserved gap

Eligibles not receiving WIC

  1. 1 Cass 2K
  2. 2 Grand Forks 667
  3. 3 Burleigh 665
  4. 4 Williams 531
  5. 5 Ward 473

Highest child-poverty share

Children < 6 at ≤185% FPL

  1. 1 Sioux 79.1%
  2. 2 Rolette 64.0%
  3. 3 Towner 59.7%
  4. 4 Grant 53.5%
  5. 5 McIntosh 52.7%

Every county in North Dakota

All 53 counties with WIC eligibility estimates, unserved gap, and ACS child-poverty context.

County Eligibles est. Participants est. Unserved est. Kids < 6 low-income Poverty share
Adams 27 15 12 27 15.7%
Barnes 146 82 64 148 23.5%
Benson 291 164 127 296 43.9%
Billings 17 9 8 17 22.4%
Bottineau 124 70 54 126 31.0%
Bowman 32 18 14 32 15.5%
Burke 17 9 8 17 13.4%
Burleigh 1,521 856 665 1,545 22.7%
Cass 3,476 1,955 1,521 3,530 24.1%
Cavalier 51 29 22 52 20.2%
Dickey 99 56 43 101 33.3%
Divide 26 14 12 26 15.1%
Dunn 113 64 49 115 26.5%
Eddy 59 33 26 60 48.0%
Emmons 32 18 14 33 18.0%
Foster 65 37 28 66 25.1%
Golden Valley 30 17 13 30 26.3%
Grand Forks 1,524 857 667 1,548 29.1%
Grant 75 42 33 76 53.5%
Griggs 28 16 12 28 19.9%
Hettinger 20 11 9 20 10.6%
Kidder 47 27 20 48 26.4%
LaMoure 92 52 40 93 31.0%
Logan 61 34 27 62 40.0%
McHenry 86 48 38 87 24.4%
McIntosh 67 38 29 68 52.7%
McKenzie 654 368 286 664 43.9%
McLean 107 60 47 109 17.2%
Mercer 170 96 74 173 27.5%
Morton 396 223 173 402 16.4%
Mountrail 337 189 148 342 37.0%
Nelson 81 45 36 82 40.0%
Oliver 56 32 24 57 40.1%
Pembina 137 77 60 139 31.7%
Pierce 91 51 40 92 37.5%
Ramsey 418 235 183 425 42.6%
Ransom 162 91 71 165 48.1%
Renville 14 8 6 14 11.5%
Richland 243 137 106 247 23.0%
Rolette 597 336 261 606 64.0%
Sargent 39 22 17 40 14.1%
Sheridan 10 6 4 10 14.7%
Sioux 261 147 114 265 79.1%
Slope 1 1 0 1 6.3%
Stark 712 400 312 723 21.6%
Steele 33 19 14 34 26.2%
Stutsman 528 297 231 536 36.6%
Towner 76 43 33 77 59.7%
Traill 125 70 55 127 23.8%
Walsh 221 124 97 224 30.3%
Ward 1,081 608 473 1,098 19.2%
Wells 112 63 49 114 35.6%
Williams 1,214 683 531 1,233 30.3%

Apply for WIC in North Dakota

Income limits, food-package rules, clinic locator, and application instructions specific to North Dakota's WIC agency.

North Dakota WIC guide

Families with children

Our population-specific guide: WIC, SNAP, school meals, Summer EBT, and pantry programs for families with kids in North Dakota.

Families guide

North Dakota SNAP

SNAP recipients are automatically income-eligible for WIC through adjunctive eligibility — often the fastest path to enrollment.

North Dakota SNAP guide

Find a food pantry

Search North Dakota's verified pantries — many partner with WIC clinics and distribute infant formula, baby food, and diapers.

North Dakota food pantries

WIC methodology

How we estimated county-level eligibles, why state coverage rates can't be disaggregated, and which data sources we used.

Full methodology