Practice Pioneer · Market data by state

Opening a dental practice in South Carolina: the numbers

South Carolina has 46 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.

South Carolina at a glance

46counties in the dataset (26 metro, 20 non-metro)
$31,603 to $84,819range of county median household income (Allendale County to Beaufort County)
22counties at or above the 75th percentile for population growth
4counties at or below the 25th percentile for dentist density
24counties 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 South Carolina counties rank lowest in South Carolina on the national dentist-density percentile. Ties are ordered by higher population-growth percentile, then by name.

South Carolina counties by lowest dentist-density percentile
County Setting Median household income Population growth Dentist density Unmet dental-care demand
McCormick County Non-metro $55,344 83rd 10th 100th
Abbeville County Non-metro $52,112 57th 13th 100th
Fairfield County Metro $46,972 15th 16th 100th
Lee County Non-metro $44,145 9th 17th 100th
Dillon County Non-metro $44,038 15th 26th 100th
Chester County Metro $51,216 42nd 27th 41st
Williamsburg County Non-metro $43,471 9th 27th 100th
Marlboro County Non-metro $36,293 8th 27th 100th
Newberry County Non-metro $59,670 78th 32nd 49th
Barnwell County Non-metro $41,800 35th 32nd 100th

Counties with the highest unmet dental-care demand percentile

These 10 South Carolina 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 24 South Carolina counties share the state's highest value; the table shows the first 10 of them in that order. 1 South Carolina county shares the dataset's lowest value for this measure and is not listed.

South Carolina counties by unmet dental-care demand percentile
County Setting Median household income Population growth Dentist density Unmet dental-care demand
McCormick County Non-metro $55,344 83rd 10th 100th
Abbeville County Non-metro $52,112 57th 13th 100th
Fairfield County Metro $46,972 15th 16th 100th
Lee County Non-metro $44,145 9th 17th 100th
Dillon County Non-metro $44,038 15th 26th 100th
Marlboro County Non-metro $36,293 8th 27th 100th
Williamsburg County Non-metro $43,471 9th 27th 100th
Barnwell County Non-metro $41,800 35th 32nd 100th
Hampton County Non-metro $43,059 20th 33rd 100th
Marion County Non-metro $34,501 15th 34th 100th

Counties with the highest population growth percentile

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

South Carolina counties by population growth percentile
County Setting Median household income Population growth Dentist density Unmet dental-care demand
Jasper County Metro $63,503 100th 63rd 51st
Lancaster County Metro $74,751 99th 57th 38th
Horry County Metro $64,623 99th 73rd 100th
Edgefield County Metro $67,092 98th 38th 100th
Berkeley County Metro $82,327 98th 71st 14th
Spartanburg County Metro $64,195 97th 64th 43rd
Kershaw County Metro $64,343 95th 44th 100th
Greenville County Metro $74,624 94th 89th 24th
Dorchester County Metro $76,896 93rd 76th 15th
Beaufort County Metro $84,819 92nd 97th 35th

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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