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Updated May 2026

Flood Risk in Minnesota

Minnesota carries a relatively low statewide average risk score of 12, with 100% of its 88 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 119 total claims.

88
Counties
119
NFIP Claims
$3,182,545
Total Payouts
12
Avg Risk Score

Grade Distribution Across Minnesota

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
88
counties
B
0
counties
C
0
counties
D
0
counties
F
0
counties

How Minnesota Compares Nationally

The U.S. county-level average composite score is 12. Minnesota sits at 12, which is right around the national average. 790 federal flood-related disaster declarations across 88 counties is one of the highest counts in the dataset — about 9.0 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 Minnesota

CountyGradeScore
KittsonA18
MarshallA18
NormanA18
PolkA17
RoseauA17

Safest in Minnesota

CountyGradeScore
CookA9
HubbardA9
LincolnA10
MowerA10
OlmstedA10

How Minnesota's Risk Is Calculated

Every county in Minnesota 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 88 Counties in Minnesota

Sorted by flood risk score, highest to lowest.

#CountyGradeScoreClaimsPayoutsDisasters
1KittsonA180$019
2MarshallA182$1,38920
3NormanA181$019
4PolkA173$13,26618
5RoseauA170$017
6Red LakeA160$015
7ClayA161$016
8Lake of the WoodsA150$013
9Blue EarthA154$44,97714
10NicolletA150$014
11RenvilleA150$013
12TraverseA150$013
13WilkinA150$014
14PenningtonA140$012
15BrownA142$39,26212
16Le SueurA148$368,59312
17RedwoodA140$012
18SibleyA140$012
19AitkinA140$012
20Bois Forte Indian ReservationA130$010
21BeltramiA130$011
22St. LouisA130$010
23Big StoneA130$010
24ChippewaA130$011
25FaribaultA131$010
26HoustonA131$010
27Lac qui ParleA130$011
28McLeodA131$2,86410
29RamseyA132$1,46110
30ScottA130$010
31WabashaA132$36,36710
32Yellow MedicineA132$9,12310
33CarverA130$010
34KoochichingA124$47,0128
35MahnomenA120$09
36FreebornA123$85,1029
37GoodhueA127$227,1309
38GrantA120$09
39JacksonA120$08
40LyonA120$08
41MurrayA122$12,3088
42NoblesA124$6,2058
43StevensA120$08
44SwiftA120$09
45WashingtonA126$117,4859
46PineA128$258,3318
47HennepinA123$54,0088
48WrightA122$2,1809
49BeckerA121$09
50MorrisonA125$207,0778
51Otter TailA122$2,2608
52ClearwaterA110$07
53LakeA110$06
54CottonwoodA113$20,6957
55DodgeA111$11,5066
56FillmoreA110$07
57MartinA110$07
58PipestoneA111$131,3446
59RockA111$11,0137
60SteeleA110$07
61WasecaA110$07
62WatonwanA111$464,7417
63WinonaA110$07
64CarltonA111$06
65CassA110$06
66ItascaA110$06
67KanabecA112$31,3266
68RiceA1110$469,5306
69BentonA111$1,0127
70ChisagoA110$06
71Crow WingA112$3,5006
72DouglasA110$06
73Mille LacsA110$06
74PopeA110$07
75StearnsA111$11,0686
76ToddA110$07
77WadenaA110$06
78LincolnA100$04
79MowerA101$18,5675
80OlmstedA103$270,2755
81DakotaA107$143,4547
82AnokaA102$2,9115
83IsantiA100$05
84KandiyohiA101$9,1755
85MeekerA101$12,9494
86SherburneA102$33,0795
87CookA90$03
88HubbardA91$02

Frequently Asked Questions

What is the average flood risk score in Minnesota?

Minnesota's average composite flood risk score is 12 on a 0–100 scale, computed as the mean of all 88 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 Minnesota have the highest flood risk?

The riskiest county in Minnesota is Kittson with a composite score of 18 (grade A). The next four — Marshall, Norman, Polk, Roseau — round out the top-five most exposed places in the state.

How many NFIP flood-insurance claims has Minnesota filed?

FEMA's National Flood Insurance Program shows 119 claims on file from Minnesota, with combined payouts of $3,182,545 across the dataset. 44 of the state's 88 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 Minnesota 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 Minnesota: 88 counties, 119 NFIP claims, average composite score 12.

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.

The methodology behind every numeric value on this page is publicly documented on the FEMA OpenFEMA datasets including the National Flood Hazard Layer and NFIP claims portal and described in detail on this site’s methodology page. Refresh cadence varies by underlying series; the page surfaces the as-of date for each number so readers can trace any figure back to the source release.

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.