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Locate Flock

Find Flock and other license plate cameras in South Carolina

1,960 of 2,133 mapped cameras are recorded as made by Flock Safety, 118 as other makers and 55 with no maker recorded. Of the mapped cameras in South Carolina, 56% stand inside an incorporated city, town or village; the others are in unincorporated communities or outside any place. From one mapped camera in South Carolina to the nearest other, the median gap is 0.2 miles. For every 10,000 residents there are 4.2 mapped cameras, on the 2020 Census count of 5,118,425 residents. Mapped cameras turn up in 172 places across South Carolina, and 36 of those places have the 10 mapped cameras at which this site measures a place.

Data as of , updated weekly. The figures for South Carolina last changed on .

Where in South Carolina the cameras are mapped

1 to 9 cameras10 to 49 cameras50 to 199 cameras200 to 999 cameras
In one square
  • 1 to 9 cameras
  • 10 to 49 cameras
  • 50 to 199 cameras
  • 200 to 999 cameras

Each square is a quarter of a degree on a side, 17 miles from top to bottom, and is shaded by the number of mapped cameras inside it. A square is drawn for South Carolina when the nearest place with a mapped camera is in South Carolina, so the squares along the state line are approximate, and one that straddles the line counts the cameras on both sides.

© OpenStreetMap contributors

Places in South Carolina with a page

So far, 4 places in South Carolina have their own page. The list runs from the shortest typical distance to the longest: the distance from a typical point inside the place to the nearest mapped camera. The share is the part of the area inside the place’s boundary that lies within half a mile of one.

Places in South Carolina with a page, by typical distance to the nearest mapped camera
PlaceTypical distanceArea within half a mileMapped cameras
Hartsville0.4 miles67%41
Greenville0.4 miles70%82
Greenwood0.4 miles60%40
Sumter0.5 miles54%70

Measured places without a page

At least 10 cameras are mapped in each of the 32 places below, enough for them to be measured the same way, but none has a page of its own. Pages are added in stages, starting where a mapped camera is typically closest. When a place gets a page of its own is set out with the list of states.

Each line gives the typical distance to the nearest mapped camera, the share of the area inside the boundary that lies within half a mile of one, and the mapped cameras inside it. The order is the same: shortest typical distance first.

  • Mayesvilletypically 850 feet · 90% of its area within half a mile · 11 camerasMap of Mayesville
  • Clemson Universitytypically 0.2 miles · 94% of its area within half a mile · 12 camerasMap of Clemson University
  • Chestertypically 0.3 miles · 86% of its area within half a mile · 14 camerasMap of Chester
  • Forest Acrestypically 0.3 miles · 86% of its area within half a mile · 19 camerasMap of Forest Acres
  • Cherawtypically 0.3 miles · 75% of its area within half a mile · 26 camerasMap of Cheraw
  • Travelers Resttypically 0.3 miles · 78% of its area within half a mile · 24 camerasMap of Travelers Rest
  • St. Andrewstypically 0.4 miles · 66% of its area within half a mile · 14 camerasMap of St. Andrews
  • Laurenstypically 0.4 miles · 61% of its area within half a mile · 14 camerasMap of Laurens
  • Clemsontypically 0.4 miles · 57% of its area within half a mile · 11 camerasMap of Clemson
  • Andersontypically 0.5 miles · 56% of its area within half a mile · 21 camerasMap of Anderson
  • Simpsonvilletypically 0.5 miles · 55% of its area within half a mile · 21 camerasMap of Simpsonville
  • Florencetypically 0.5 miles · 52% of its area within half a mile · 55 camerasMap of Florence
  • Spartanburgtypically 0.5 miles · 52% of its area within half a mile · 24 camerasMap of Spartanburg
  • Orangeburgtypically 0.5 miles · 50% of its area within half a mile · 13 camerasMap of Orangeburg
  • Moncks Cornertypically 0.6 miles · 41% of its area within half a mile · 11 camerasMap of Moncks Corner
  • Fort Milltypically 0.6 miles · 39% of its area within half a mile · 22 camerasMap of Fort Mill
  • Lexingtontypically 0.6 miles · 39% of its area within half a mile · 14 camerasMap of Lexington
  • Conwaytypically 0.6 miles · 40% of its area within half a mile · 45 camerasMap of Conway
  • Camdentypically 0.8 miles · 30% of its area within half a mile · 13 camerasMap of Camden
  • Summervilletypically 0.9 miles · 25% of its area within half a mile · 25 camerasMap of Summerville
  • North Myrtle Beachtypically 0.9 miles · 21% of its area within half a mile · 15 camerasMap of North Myrtle Beach
  • Rock Hilltypically 0.9 miles · 22% of its area within half a mile · 37 camerasMap of Rock Hill
  • Mount Pleasanttypically 0.9 miles · 19% of its area within half a mile · 28 camerasMap of Mount Pleasant
  • Greertypically 1 mile · 22% of its area within half a mile · 13 camerasMap of Greer
  • Charlestontypically 1.1 miles · 16% of its area within half a mile · 48 camerasMap of Charleston
  • North Charlestontypically 1.1 miles · 14% of its area within half a mile · 24 camerasMap of North Charleston
  • Hilton Head Islandtypically 1.2 miles · 15% of its area within half a mile · 16 camerasMap of Hilton Head Island
  • Myrtle Beachtypically 1.3 miles · 11% of its area within half a mile · 12 camerasMap of Myrtle Beach
  • Beauforttypically 1.3 miles · 20% of its area within half a mile · 20 camerasMap of Beaufort
  • Goose Creektypically 1.6 miles · 10% of its area within half a mile · 17 camerasMap of Goose Creek
  • Columbiatypically 1.8 miles · 16% of its area within half a mile · 68 camerasMap of Columbia
  • Blufftontypically 1.9 miles · 16% of its area within half a mile · 37 camerasMap of Bluffton

Smaller places with mapped cameras

Places in South Carolina with fewer than 10 mapped cameras are not measured, because a few pins say little about a whole place. These are the largest of them.

Another 106 places in South Carolina have a mapped camera and are not listed here.

How these figures are worked out

Every camera here is a pin a volunteer added to OpenStreetMap, so each count is a floor. A place is its U.S. Census Bureau boundary, and a camera belongs to it when its pin falls inside. For each measured place, a grid of sample points is laid inside the boundary, and the typical distance is the median straight-line distance from those points to the nearest mapped camera of any make.