Minnesota has 87 counties in Practice Pioneer's public county dataset. This page summarizes that data — household income, population growth, dentist density, and unmet dental-care demand — with county tables for the standout values.
Population growth, dentist density, and unmet dental-care demand are national percentiles computed across the counties nationwide that have a value for that measure: a county at the 90th percentile ranks at or above 90 percent of those ranked counties. Counties without a value are excluded from a ranking. Percentiles describe counties, not individual sites.
These 10 Minnesota counties rank lowest in Minnesota on the national dentist-density percentile. Ties are ordered by higher population-growth percentile, then by name.
| County | Setting | Median household income | Population growth | Dentist density | Unmet dental-care demand |
|---|---|---|---|---|---|
| Lake of the Woods County | Non-metro | $70,091 | 49th | 6th | 41st |
| Red Lake County | Non-metro | $77,500 | 23rd | 7th | 100th |
| Mahnomen County | Non-metro | $53,925 | 21st | 17th | 100th |
| Koochiching County | Non-metro | $69,115 | 8th | 18th | 100th |
| Rock County | Metro | $70,698 | 22nd | 22nd | 28th |
| Mille Lacs County | Metro | $71,455 | 80th | 26th | 100th |
| Dodge County | Metro | $92,943 | 59th | 27th | 14th |
| Brown County | Non-metro | $68,690 | 31st | 27th | 100th |
| Marshall County | Non-metro | $71,701 | 12th | 30th | 53rd |
| Cottonwood County | Non-metro | $68,239 | 23rd | 32nd | 100th |
These 10 Minnesota counties have the highest unmet dental-care demand percentile, derived from the share of county residents living in HRSA Dental Health Professional Shortage Area ZIP codes. Ties are ordered by lower dentist-density percentile (counties with no density value first), then by name. HRSA often designates whole counties, so 29 Minnesota counties share the state's highest value; the table shows the first 10 of them in that order. 13 Minnesota counties share the dataset's lowest value for this measure and are not listed.
| County | Setting | Median household income | Population growth | Dentist density | Unmet dental-care demand |
|---|---|---|---|---|---|
| Red Lake County | Non-metro | $77,500 | 23rd | 7th | 100th |
| Mahnomen County | Non-metro | $53,925 | 21st | 17th | 100th |
| Koochiching County | Non-metro | $69,115 | 8th | 18th | 100th |
| Mille Lacs County | Metro | $71,455 | 80th | 26th | 100th |
| Brown County | Non-metro | $68,690 | 31st | 27th | 100th |
| Cottonwood County | Non-metro | $68,239 | 23rd | 32nd | 100th |
| Big Stone County | Non-metro | $65,475 | 20th | 35th | 100th |
| Pennington County | Non-metro | $72,561 | 18th | 36th | 100th |
| Redwood County | Non-metro | $67,024 | 28th | 40th | 100th |
| Traverse County | Non-metro | $65,931 | 2nd | 43rd | 100th |
These 10 Minnesota counties have the highest population growth percentile in the dataset. Ties are ordered by lower dentist-density percentile, then by name.
| County | Setting | Median household income | Population growth | Dentist density | Unmet dental-care demand |
|---|---|---|---|---|---|
| Wright County | Metro | $106,666 | 95th | 54th | 13th |
| Washington County | Metro | $114,457 | 87th | 89th | 13th |
| Sherburne County | Metro | $102,965 | 86th | 36th | 26th |
| Isanti County | Metro | $86,573 | 86th | 71st | 30th |
| Pine County | Non-metro | $69,666 | 84th | 44th | 46th |
| Carver County | Metro | $123,144 | 84th | 70th | 13th |
| Mille Lacs County | Metro | $71,455 | 80th | 26th | 100th |
| Chisago County | Metro | $98,260 | 80th | 44th | 17th |
| Cass County | Non-metro | $64,937 | 80th | 76th | 100th |
| Aitkin County | Non-metro | $59,498 | 78th | 50th | 57th |
The dataset has no county population field, so small counties can appear in either table; check county size before reading much into a percentile.
The county dataset was compiled September 30, 2026 (vintage acs20235-pep2024-rucc2023-hpsa2026Q3-nppes202608). This page was generated September 30, 2026 directly from that dataset. Every figure is read from the named public datasets or is a count, minimum, maximum, or sort over them; no composite score or ranking formula is applied on this page. Tables are sorted on the named measure, with ties ordered by the stated secondary ordering and then county name. County equivalents — such as Alaska boroughs and census areas, Louisiana parishes, independent cities, and Connecticut planning regions — are counted as counties. Full layer-by-layer provenance is in the evidence and coverage ledger.
This is public context for a county, not a site recommendation. It does not measure competing offices at an address, payer mix, lease terms, or patient demand for a specific practice.
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