Practice Pioneer · Market data by state

Opening a dental practice in West Virginia: the numbers

West Virginia has 55 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.

West Virginia at a glance

55counties in the dataset (20 metro, 35 non-metro)
$29,980 to $95,523range of county median household income (McDowell County to Jefferson County)
3counties at or above the 75th percentile for population growth
14counties at or below the 25th percentile for dentist density
47counties at or above the 75th percentile for unmet dental-care demand

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.

Counties with the lowest dentist-density percentile

These 10 West Virginia counties rank lowest in West Virginia on the national dentist-density percentile. Ties are ordered by higher population-growth percentile, then by name.

West Virginia counties by lowest dentist-density percentile
County Setting Median household income Population growth Dentist density Unmet dental-care demand
Wirt County Metro $54,688 4th 4th 100th
Ritchie County Non-metro $50,256 12th 5th 100th
Doddridge County Non-metro $61,164 17th 6th 100th
Summers County Non-metro $42,544 10th 8th 100th
McDowell County Non-metro $29,980 1st 8th 100th
Logan County Non-metro $47,237 3rd 12th 100th
Tyler County Non-metro $58,293 3rd 13th 100th
Wyoming County Non-metro $48,038 2nd 16th 100th
Lewis County Non-metro $52,279 10th 20th 100th
Lincoln County Non-metro $48,593 5th 20th 53rd

Counties with the highest unmet dental-care demand percentile

These 10 West Virginia 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 47 West Virginia counties share the state's highest value; the table shows the first 10 of them in that order. 2 West Virginia counties share the dataset's lowest value for this measure and are not listed.

West Virginia counties by unmet dental-care demand percentile
County Setting Median household income Population growth Dentist density Unmet dental-care demand
Wirt County Metro $54,688 4th 4th 100th
Ritchie County Non-metro $50,256 12th 5th 100th
Doddridge County Non-metro $61,164 17th 6th 100th
McDowell County Non-metro $29,980 1st 8th 100th
Summers County Non-metro $42,544 10th 8th 100th
Logan County Non-metro $47,237 3rd 12th 100th
Tyler County Non-metro $58,293 3rd 13th 100th
Wyoming County Non-metro $48,038 2nd 16th 100th
Lewis County Non-metro $52,279 10th 20th 100th
Monroe County Non-metro $54,508 48th 21st 100th

Counties with the highest population growth percentile

These 10 West Virginia counties have the highest population growth percentile in the dataset. Ties are ordered by lower dentist-density percentile, then by name.

West Virginia counties by population growth percentile
County Setting Median household income Population growth Dentist density Unmet dental-care demand
Berkeley County Metro $77,329 96th 48th 13th
Jefferson County Metro $95,523 88th 26th 13th
Morgan County Metro $63,805 79th 29th 41st
Hampshire County Metro $60,299 73rd 28th 100th
Monongalia County Metro $62,704 70th 97th 100th
Hardy County Non-metro $49,302 49th 31st 100th
Monroe County Non-metro $54,508 48th 21st 100th
Jackson County Non-metro $55,671 40th 39th 59th
Grant County Non-metro $61,530 38th 67th 100th
Preston County Metro $61,373 36th 32nd 100th

The dataset has no county population field, so small counties can appear in either table; check county size before reading much into a percentile.

Sources and method

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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