Updated May 2026
Flood Risk in South Carolina
South Carolina carries a relatively low statewide average risk score of 14, with 100% of its 47 counties at A or B. 0 counties are in the F (extreme) tier, typically along major rivers or flood-prone basins. Statewide NFIP take-up is modest at 3.4K total claims.
Grade Distribution Across South Carolina
The grade mix is dominated by A — 96% of counties — meaning the typical place in this state has very low historical flood loss. The handful of B/C/D/F counties below define where risk is concentrated.
How South Carolina Compares Nationally
The U.S. county-level average composite score is 12. South Carolina sits at 14, which is right around the national average. 678 federal flood-related disaster declarations across 47 counties is one of the highest counts in the dataset — about 14.4 per county. Most counties have lived through multiple federally declared floods.
For full national context — every state ranked by average score and total claims — see the all-states overview. The riskiest-counties ranking and highest-payouts ranking drill into where loss is concentrated. Real-time stream-gauge readings are at USGS Water Data.
Riskiest in South Carolina
| County | Grade | Score |
|---|---|---|
| Dillon | B | 25 |
| Greenville | B | 22 |
| Spartanburg | A | 20 |
| Colleton | A | 19 |
| Calhoun | A | 18 |
How South Carolina's Risk Is Calculated
Every county in South Carolina is scored on the same four factors that drive every county nationwide: NFIP claims density (40%), federally declared flood-disaster frequency (25%), average claim severity (20%), and year-over-year trend (15%). Source data comes from the public FEMA flood-mapping program and OpenFEMA endpoints. Detailed weighting math, plus the data's known limitations (county-level granularity, NFIP-participation bias, historical bias), is on the methodology page.
All 47 Counties in South Carolina
Sorted by flood risk score, highest to lowest.
| # | County | Grade | Score | Claims | Payouts | Disasters |
|---|---|---|---|---|---|---|
| 1 | Dillon | B | 25 | 21 | $716,457 | 18 |
| 2 | Greenville | B | 22 | 46 | $873,290 | 12 |
| 3 | Spartanburg | A | 20 | 17 | $663,452 | 13 |
| 4 | Colleton | A | 19 | 78 | $868,058 | 17 |
| 5 | Calhoun | A | 18 | 0 | $0 | 19 |
| 6 | Allendale | A | 16 | 0 | $0 | 15 |
| 7 | Bamberg | A | 16 | 2 | $46,000 | 15 |
| 8 | Chesterfield | A | 16 | 0 | $0 | 16 |
| 9 | Lancaster | A | 16 | 2 | $0 | 15 |
| 10 | Lee | A | 16 | 2 | $25,833 | 16 |
| 11 | Marlboro | A | 16 | 4 | $34,485 | 16 |
| 12 | Georgetown | A | 16 | 281 | $7,328,570 | 19 |
| 13 | Horry | A | 16 | 769 | $32,263,498 | 20 |
| 14 | Barnwell | A | 15 | 0 | $0 | 13 |
| 15 | Clarendon | A | 15 | 7 | $72,260 | 16 |
| 16 | Fairfield | A | 15 | 4 | $138,962 | 13 |
| 17 | Hampton | A | 15 | 1 | $54,001 | 13 |
| 18 | Laurens | A | 15 | 5 | $0 | 11 |
| 19 | Aiken | A | 14 | 4 | $34,739 | 12 |
| 20 | Cherokee | A | 14 | 0 | $0 | 12 |
| 21 | Chester | A | 14 | 0 | $0 | 12 |
| 22 | Newberry | A | 14 | 2 | $23,124 | 12 |
| 23 | York | A | 14 | 5 | $20,879 | 12 |
| 24 | Charleston | A | 14 | 933 | $18,498,855 | 17 |
| 25 | Abbeville | A | 13 | 1 | $6,535 | 11 |
| 26 | Anderson | A | 13 | 2 | $71,603 | 11 |
| 27 | Darlington | A | 13 | 11 | $216,084 | 17 |
| 28 | Edgefield | A | 13 | 2 | $124,841 | 11 |
| 29 | Greenwood | A | 13 | 4 | $84,334 | 11 |
| 30 | Kershaw | A | 13 | 15 | $86,449 | 17 |
| 31 | McCormick | A | 13 | 0 | $0 | 11 |
| 32 | Oconee | A | 13 | 2 | $17,397 | 11 |
| 33 | Pickens | A | 13 | 4 | $88,609 | 11 |
| 34 | Saluda | A | 13 | 2 | $3,306 | 11 |
| 35 | Union | A | 13 | 0 | $0 | 11 |
| 36 | Williamsburg | A | 13 | 13 | $214,234 | 19 |
| 37 | Florence | A | 12 | 46 | $866,535 | 17 |
| 38 | Catawba Indian Nation | A | 12 | 0 | $0 | 8 |
| 39 | Berkeley | A | 11 | 57 | $772,374 | 18 |
| 40 | Dorchester | A | 11 | 103 | $2,362,610 | 16 |
| 41 | Jasper | A | 11 | 10 | $250,561 | 15 |
| 42 | Marion | A | 11 | 81 | $3,583,748 | 18 |
| 43 | Orangeburg | A | 11 | 16 | $364,469 | 18 |
| 44 | Beaufort | A | 10 | 629 | $11,835,834 | 15 |
| 45 | Sumter | A | 10 | 39 | $841,093 | 17 |
| 46 | Richland | A | 9 | 151 | $10,427,354 | 16 |
| 47 | Lexington | A | 8 | 78 | $2,131,162 | 14 |
Frequently Asked Questions
What is the average flood risk score in South Carolina?
South Carolina's average composite flood risk score is 14 on a 0–100 scale, computed as the mean of all 47 county scores. That is roughly equal to the U.S. county-level average of 12. Score components: 40% claims density, 25% disaster frequency, 20% claim severity, 15% trend.
Which counties in South Carolina have the highest flood risk?
The riskiest county in South Carolina is Dillon with a composite score of 25 (grade B). The next four — Greenville, Spartanburg, Colleton, Calhoun — round out the top-five most exposed places in the state.
How many NFIP flood-insurance claims has South Carolina filed?
FEMA's National Flood Insurance Program shows 3.4K claims on file from South Carolina, with combined payouts of $96,011,595 across the dataset. 38 of the state's 47 counties have at least one NFIP claim recorded.
Are FEMA flood maps the same as your risk score?
No. The flood risk score on this page is a county-wide composite drawn from claims, disasters, severity, and trend. FEMA Flood Insurance Rate Maps (FIRMs, available at fema.gov/flood-maps) are parcel-level zone designations based on hydrologic modeling. The two answer different questions; serious decisions about insurance or building should use both, plus real-time hydrology from USGS Water Data.
When was the South Carolina data last updated?
These figures were refreshed from the OpenFEMA API on 2026-05-16. FEMA itself publishes new NFIP claims on a quarterly cycle, so the data may lag actual events by up to three months.
Flood risk profile for South Carolina: 47 counties, 3.4K NFIP claims, average composite score 14.
The this entity record above pulls directly from FEMA OpenFEMA datasets including the National Flood Hazard Layer and NFIP claims. What follows is the per-entity context — how this entity sits in the broader U.S. flood risk, NFIP claims, and disaster declarations distribution and which underlying factors drive the headline numbers.
Every number on this page links back to FEMA OpenFEMA datasets including the National Flood Hazard Layer and NFIP claims; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.
For readers using this page as a decision input, the related-entity pages elsewhere on the site provide the comparison set. The most useful comparison for this entity is typically a peer within U.S. ZIPs, counties, and states with similar size, similar exposure, or similar geography — not the national-level summary alone.