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Updated May 2026

Flood Risk in Mississippi

Mississippi carries a relatively low statewide average risk score of 13, with 100% of its 83 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 886 total claims.

83
Counties
886
NFIP Claims
$22,756,555
Total Payouts
13
Avg Risk Score

Grade Distribution Across Mississippi

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.

A
80
counties
B
3
counties
C
0
counties
D
0
counties
F
0
counties

How Mississippi Compares Nationally

The U.S. county-level average composite score is 12. Mississippi sits at 13, which is right around the national average. 870 federal flood-related disaster declarations across 83 counties is one of the highest counts in the dataset — about 10.5 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 Mississippi

CountyGradeScore
HarrisonB29
HancockB27
JacksonB23
GeorgeA20
StoneA20

Safest in Mississippi

How Mississippi's Risk Is Calculated

Every county in Mississippi 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 83 Counties in Mississippi

Sorted by flood risk score, highest to lowest.

#CountyGradeScoreClaimsPayoutsDisasters
1HarrisonB29172$3,415,91625
2HancockB2782$1,114,36322
3JacksonB23142$2,930,42525
4GeorgeA202$57,41623
5StoneA202$64,91123
6CoahomaA1914$627,5658
7GreeneA181$5,90820
8Pearl RiverA1813$462,68224
9LeeA1811$540,8075
10WarrenA1840$1,217,07911
11CovingtonA171$017
12Jefferson DavisA170$018
13LincolnA170$017
14PerryA179$445,74218
15WayneA171$41,79818
16LowndesA1711$115,6457
17PikeA171$018
18LawrenceA162$84,18316
19WalthallA164$69,63215
20JonesA167$192,40118
21AdamsA160$015
22AmiteA161$14,68115
23ForrestA1533$614,31520
24CopiahA152$37,61613
25FranklinA150$013
26JeffersonA150$014
27ClaiborneA142$32,86112
28LamarA148$162,45117
29ClarkeA142$49,55412
30JasperA140$012
31IssaquenaA133$146,45910
32MarionA1314$305,59718
33LauderdaleA135$151,55310
34SimpsonA130$011
35YazooA134$130,40610
36HolmesA121$34,5218
37LeakeA122$184,0698
38BolivarA1216$533,2669
39TunicaA121$08
40GrenadaA122$62,6748
41HumphreysA125$111,4938
42KemperA120$08
43NeshobaA120$08
44NewtonA120$08
45SharkeyA123$73,1718
46SmithA120$09
47WilkinsonA1217$421,66216
48LefloreA119$154,5966
49PanolaA113$44,3876
50QuitmanA114$75,7606
51SunflowerA114$32,8086
52TallahatchieA110$06
53AttalaA111$66,6807
54CalhounA113$74,8526
55CarrollA110$06
56ClayA119$17,5087
57ItawambaA110$06
58MonroeA113$4,8927
59MontgomeryA110$06
60NoxubeeA111$44,1687
61OktibbehaA111$20,2236
62RankinA1141$2,269,66211
63ScottA112$30,1577
64WinstonA112$48,1537
65TateA101$16,6285
66AlcornA101$161,8354
67BentonA100$04
68ChickasawA100$05
69ChoctawA102$8,1035
70LafayetteA102$135,0464
71MarshallA101$04
72PontotocA100$05
73PrentissA100$04
74TippahA100$04
75TishomingoA101$66,0805
76UnionA100$04
77WebsterA100$05
78YalobushaA101$37,0005
79Mississippi Choctaw Indian ReservationA90$03
80DeSotoA86$68,9736
81HindsA870$2,818,00210
82MadisonA824$526,8429
83WashingtonA758$1,581,37810

Frequently Asked Questions

What is the average flood risk score in Mississippi?

Mississippi's average composite flood risk score is 13 on a 0–100 scale, computed as the mean of all 83 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 Mississippi have the highest flood risk?

The riskiest county in Mississippi is Harrison with a composite score of 29 (grade B). The next four — Hancock, Jackson, George, Stone — round out the top-five most exposed places in the state.

How many NFIP flood-insurance claims has Mississippi filed?

FEMA's National Flood Insurance Program shows 886 claims on file from Mississippi, with combined payouts of $22,756,555 across the dataset. 60 of the state's 83 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 Mississippi 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 Mississippi: 83 counties, 886 NFIP claims, average composite score 13.

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.

Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. ZIPs, counties, and states. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.