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Updated May 2026

Flood Risk in Arkansas

Arkansas carries a relatively low statewide average risk score of 11, with 100% of its 76 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 444 total claims.

76
Counties
444
NFIP Claims
$17,393,615
Total Payouts
11
Avg Risk Score

Grade Distribution Across Arkansas

The grade mix is dominated by A — 100% 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
76
counties
B
0
counties
C
0
counties
D
0
counties
F
0
counties

How Arkansas Compares Nationally

The U.S. county-level average composite score is 12. Arkansas sits at 11, which is right around the national average. 480 federal flood-related disaster declarations across 76 counties is one of the highest counts in the dataset — about 6.3 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 Arkansas

CountyGradeScore
ArkansasA18
CrittendenA18
FaulknerA15
WashingtonA14
BentonA14

Safest in Arkansas

CountyGradeScore
CraigheadA6
GarlandA6
CleburneA6
ClayA7
PhillipsA7

How Arkansas's Risk Is Calculated

Every county in Arkansas 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 76 Counties in Arkansas

Sorted by flood risk score, highest to lowest.

#CountyGradeScoreClaimsPayoutsDisasters
1ArkansasA188$130,6076
2CrittendenA1811$592,4926
3FaulknerA1522$900,7017
4WashingtonA1436$1,880,1866
5BentonA1430$919,8387
6IzardA134$43,47210
7PulaskiA1367$2,354,90010
8MonroeA123$27,0658
9MontgomeryA121$19,1988
10PoinsettA121$1,7698
11StoneA120$08
12MadisonA120$09
13ConwayA122$7,5528
14PerryA124$193,9628
15UnionA122$283,4698
16CrossA110$06
17DallasA110$07
18HempsteadA110$07
19LafayetteA110$06
20LeeA114$133,5596
21Little RiverA110$07
22LonokeA112$41,4706
23MarionA111$5,4486
24NewtonA110$07
25PikeA110$07
26ScottA111$375,8966
27SearcyA110$06
28WoodruffA112$32,3676
29OuachitaA111$9,8507
30ClarkA112$68,7166
31DeshaA1116$508,0468
32FultonA114$240,2537
33RandolphA1120$1,451,5136
34St. FrancisA111$2,8637
35SharpA116$690,3387
36FranklinA113$62,9396
37JohnsonA112$7,6687
38LincolnA112$59,2307
39LoganA110$07
40YellA110$07
41BooneA110$06
42BradleyA115$432,5046
43ClevelandA110$06
44ColumbiaA110$07
45HowardA112$28,2726
46LawrenceA101$32,6585
47NevadaA100$04
48PrairieA105$158,2365
49SevierA102$82,0765
50WhiteA104$45,3745
51Hot SpringA101$8,6105
52JacksonA108$177,0777
53JeffersonA1033$1,182,2589
54PopeA101$37,7105
55MississippiA103$59,2045
56AshleyA104$204,6835
57BaxterA103$38,7844
58CalhounA100$05
59CarrollA101$05
60DrewA103$14,1475
61GrantA101$49,9884
62IndependenceA100$05
63PolkA102$4,2215
64Van BurenA100$05
65StatewideA100$04
66ChicotA96$59,9617
67CrawfordA97$211,2587
68SebastianA925$2,135,7126
69GreeneA96$57,3576
70MillerA86$75,5495
71SalineA812$330,8376
72ClayA78$135,3377
73PhillipsA77$96,8344
74CraigheadA615$191,8297
75GarlandA610$324,6717
76CleburneA65$173,1013

Frequently Asked Questions

What is the average flood risk score in Arkansas?

Arkansas's average composite flood risk score is 11 on a 0–100 scale, computed as the mean of all 76 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 Arkansas have the highest flood risk?

The riskiest county in Arkansas is Arkansas with a composite score of 18 (grade A). The next four — Crittenden, Faulkner, Washington, Benton — round out the top-five most exposed places in the state.

How many NFIP flood-insurance claims has Arkansas filed?

FEMA's National Flood Insurance Program shows 444 claims on file from Arkansas, with combined payouts of $17,393,615 across the dataset. 56 of the state's 76 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 Arkansas 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 Arkansas: 76 counties, 444 NFIP claims, average composite score 11.

For this entity, the underlying data on this page comes from FEMA OpenFEMA datasets including the National Flood Hazard Layer and NFIP claims. The breakdown above is the federal record; the paragraphs below add the per-entity context that makes the headline numbers usable for a real decision rather than just a data lookup.

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.