June 2026 residential building permits data releasedExplore

Presidential elections · 20002024

Williamsburg County, SC — Presidential Election Results (20002024)

In 2024, Williamsburg County, South Carolina voted for Kamala D. Harris (Democratic) by D+21.7 8,634 Democratic to 5,524 Republican of 14,330 votes cast. From 2020 to 2024 it shifted 8.1 points toward Republicans. That makes it 39.6 points more Democratic than South Carolina overall (R+17.9).

Data: MIT Election Data & Science Lab, Harvard Dataverse.

2024 margin
D+21.7
Kamala D. Harris
2024 votes cast
14,330
Swing 2020 → 2024
R+8.1
toward Republicans
vs. South Carolina
39.6 pts
more Democratic

Margin by election, 20002024

Democratic minus Republican, in points of all votes cast — blue bars Democratic, red Republican.

D+19.42000D+30.52004D+38.22008D+39.92012D+33.82016D+29.82020D+21.72024

Every election in Williamsburg County

YearDemocraticRepublicanOtherDem shareRep shareMargin
20248,6345,52417260.3%38.5%D+21.7
202010,2895,53216464.4%34.6%D+29.8
20169,9534,86423766.1%32.3%D+33.8
201211,3354,82414569.5%29.6%D+39.9
200811,2795,00416068.6%30.4%D+38.2
20049,0444,7957965.0%34.5%D+30.5
20006,7234,5248459.3%39.9%D+19.4

Williamsburg County presidential elections — FAQ

Who carried Williamsburg County in the 2024 presidential election?+

Kamala D. Harris (Democratic) carried Williamsburg County, South Carolina in 2024 by D+21.7, with 14,330 votes cast. Data: MIT Election Data & Science Lab.

How did Williamsburg County shift between 2020 and 2024?+

Williamsburg County shifted 8.1 points toward Republicans between 2020 (D+29.8) and 2024 (D+21.7).

Is Williamsburg County more Democratic or Republican than South Carolina overall?+

In 2024, Williamsburg County went D+21.7 while South Carolina overall went R+17.9 — 39.6 points more Democratic than the state.

Where does this election data come from?+

County-level presidential returns (2000–2024) come from the MIT Election Data and Science Lab (MEDSL), published on the Harvard Dataverse. pumsdata is an independent product that makes the data easy to map and compare, and is not affiliated with MEDSL or Harvard.