Skip to main content
GeneratorChecker

Power Outage Risk in South Dakota

South Dakota outages are a Plains wind-and-winter problem first, with long distances and snow recovery mattering more than a generic cold-weather description.

South Dakota backup planning should treat this as a Plains continuity problem: high wind, winter storms, and long restoration distances can stretch essentials well past the first day.

10,695 electricity-dependent Medicare beneficiaries statewide, with Pennington, Meade, Minnehaha, and Brown anchoring the public BPI layer
FEMA National Risk Index (NRI)
56.6 / 100
Relatively Low
FEMA Declarations (2014-2023)
24 Major incidents
Highest Risk Window
Dec-Feb

Plains Winter and High-Wind Continuity

JanJunDec

What drives outage risk in South Dakota

Winter Weather 85.7
FEMA Decl.
Wildfire 75.4
FEMA Decl. 4
Hurricane 0.0
FEMA Decl.
Severe Storm Not scored by NRI
FEMA Decl. 8

Why South Dakota is different

South Dakota's practical outage risk is more Plains-specific than a generic Upper Midwest winter assumption would suggest. NOAA's outage-relevant record is led by thunderstorm wind, high wind, flood, and winter storm events, while the broader planning problem is continuity across distance, snow, and cleanup rather than just a single overnight cold snap.

The county overlap also spans both the western and eastern parts of the state. HHS emPOWER counts 10,695 electricity-dependent Medicare beneficiaries statewide, and the public BPI layer is led by Pennington, Meade, Minnehaha, and Brown. That points to refrigeration, communications, medical continuity, and winter support through a longer Plains disruption.

Notable Recent Events

Severe Winter Storms and Snowstorm (2022)

FEMA DR-4689 covers South Dakota severe winter storms and snowstorm impacts from December 2022, within the 2014-2023 federal record.

Source: FEMA DR-4689

Evidence trail

State source notes

These notes trace the editorial claims above back to FEMA, DOE, utility, or other cited records.

5 notes
  1. 1 OpenFEMA API

    FEMA declaration count (24) from OpenFEMA API, deduplicated by disaster number, DR/EM/FM types, 2014-2023; South Dakota's mix in this window includes Severe Storm (8), Flood (4), Winter Storm (3), and Fire (4).

  2. 2 FEMA NRI county layer

    NRI composite score (56.6) from FEMA NRI county layer, population-weighted to state level; top modeled hazards are Winter Weather, Hail, and Wildfire.

  3. 3 NOAA Storm Events 2005-2024

    NOAA outage-relevant event mix is led by Thunderstorm Wind (7,831), High Wind (3,208), Flood (2,204), and Winter Storm (1,938), with Pennington, Meade, Custer, and Brown leading county counts.

  4. 4 HHS emPOWER + GeneratorChecker BPI review

    HHS emPOWER counts 10,695 electricity-dependent Medicare beneficiaries statewide; Pennington, Meade, Minnehaha, Brown, and Custer are the strongest county anchors in the public BPI layer.

  5. South Dakota Severe Winter Storms and Snowstorm DR-4689 from FEMA disaster declaration records.

Structured FEMA NRI, HHS emPOWER, NOAA Storm Events, and EIA methodology is documented separately on the methodology page.

NRI's top modeled hazards are Winter Weather, Hail, and Wildfire, while NOAA's outage-relevant record is led by Thunderstorm Wind, High Wind, Flood, and Winter Storm events..

Historical Storm Patterns in South Dakota

NOAA storm-event records filtered to outage-relevant event types for South Dakota. Counts reflect historical storm-event assignments, not confirmed utility outages.

Official data GeneratorChecker analysis

Analysis window

2005-01 to 2024-12

Included storm-event records

19,404

Source as of

2026-03

Included exact NOAA event types for South Dakota: Thunderstorm Wind, Tornado, High Wind, Strong Wind, Flash Flood, Flood, Winter Storm, Ice Storm, Freezing Rain, Heavy Snow, Blizzard.

Hazard seasonality

In this filtered NOAA record set for South Dakota, Jun has the highest monthly count (3,310 records) , and Thunderstorm Wind is the leading event type. This chart shows frequency in NOAA records, not how severe a specific outage may be.

Sorted Jan–Dec
Jan 1,161
Feb 962
Mar 1,619
Apr 1,589
May 1,661
Jun 3,310
Jul 3,148
Aug 1,887
Sep 662
Oct 819
Nov 838
Dec 1,748

Top outage-relevant event types

  1. 1. Thunderstorm Wind 7,831
  2. 2. High Wind 3,208
  3. 3. Flood 2,204
  4. 4. Winter Storm 1,938
  5. 5. Blizzard 1,825
  6. 6. Heavy Snow 907

Counties with highest historical outage-relevant storm event frequency

  1. 1. PENNINGTON 1,144

    44.1% of listed records were matched directly to this county.

  2. 2. MEADE 1,120

    43.1% of listed records were matched directly to this county.

  3. 3. CUSTER 571

    37.0% of listed records were matched directly to this county.

  4. 4. BROWN 528

    74.8% of listed records were matched directly to this county.

  5. 5. MINNEHAHA 496

    81.7% of listed records were matched directly to this county.

  6. 6. HARDING 473

    59.4% of listed records were matched directly to this county.

Coverage and limitations

With the current South Dakota NWS county crosswalk, most mapped forecast zones behave close to a 1:1 county match; unresolved legacy, coastal, and sub-county forecast zones fall into the excluded bucket.

Direct county match

57.6%

Mapped from forecast zone

42.4%

Not assigned to county ranking

0.0%

Unresolved forecast zones

0

  • Forecast-zone events with no current NWS county crosswalk entry are excluded from county-level rankings.
  • Forecast-zone events are mapped with the current NWS county crosswalk, which may not exactly match historical zone boundaries across the full analysis window.
  • Counts reflect historical NOAA storm event records, not confirmed utility outage counts.
  • Marine event types remain excluded from this state contract even when coastal impacts may be operationally relevant.

Medical Outage Sensitivity in South Dakota

County-level HHS emPOWER counts for electricity-dependent Medicare beneficiaries in South Dakota.

Official data

10,695 Medicare beneficiaries in South Dakota have claims associated with electricity-dependent medical equipment. (HHS emPOWER, 2026-03)

County-level HHS emPOWER records for this state. Medicare enrollment data only. 66 counties are included in this state snapshot.

Counties by total count

  1. 1. Pennington 1,794
  2. 2. Minnehaha 1,534
  3. 3. Lawrence 487
  4. 4. Brown 477
  5. 5. Meade 439

Counties by share of Medicare beneficiaries

Counties with at least 1,000 Medicare beneficiaries
  1. 1. Spink 8.5%

    Smaller Medicare base; interpret this percentage with extra caution.

  2. 2. Tripp 7.8%

    Smaller Medicare base; interpret this percentage with extra caution.

  3. 3. Fall River 7.2%
  4. 4. Butte 7.1%
  5. 5. Meade 7.1%
GeneratorChecker analysis

Counties with higher concentrations may face elevated community-level demand for backup power during outages. This does not indicate individual medical necessity.

Limitations: Reflects Medicare beneficiaries with claims associated with electricity-dependent medical equipment. Does not capture non-Medicare or uninsured populations. HHS masks cells from 1 to 10 as 11.

GeneratorChecker BPI BPI v1.0 · NOAA 2005-2024 · HHS emPOWER 2026-03

Backup Priority Index in South Dakota

The GeneratorChecker Backup Priority Index is a county shortlist for backup planning, combining historically frequent outage-relevant storm activity with larger county counts of electricity-dependent Medicare beneficiaries. It is planning context, not a forecast or an outage guarantee.

Official data GeneratorChecker analysis

BPI version

v1.0

Analysis window

2005-01 to 2024-12

Matched counties

65

Counties qualify for the public BPI only when both signals land at or above the 80th percentile within the state. The shortlist excludes low-base medical counties and counties with less than 30% direct NOAA county matching.

Qualifying counties shown on the page: 5.

Top BPI counties in this state

Percentiles are computed within South Dakota only and are not comparable across states.

Source notes
  1. 1. PENNINGTON

    County FIPS 46103

    Storm frequency · Top 1% statewide Medical exposure · Top 1% statewide

    At-risk Medicare count

    1,794

    Storm-event records

    1,144

    Direct NOAA county match

    44.1%

  2. 2. MEADE

    County FIPS 46093

    Storm frequency · Top 1% statewide Medical exposure · Top 6% statewide

    At-risk Medicare count

    439

    Storm-event records

    1,120

    Direct NOAA county match

    43.1%

  3. 3. MINNEHAHA

    County FIPS 46099

    Storm frequency · Top 6% statewide Medical exposure · Top 1% statewide

    At-risk Medicare count

    1,534

    Storm-event records

    496

    Direct NOAA county match

    81.7%

  4. 4. BROWN

    County FIPS 46013

    Storm frequency · Top 4% statewide Medical exposure · Top 4% statewide

    At-risk Medicare count

    477

    Storm-event records

    528

    Direct NOAA county match

    74.8%

  5. 5. CUSTER

    County FIPS 46033

    Storm frequency · Top 3% statewide Medical exposure · Top 12% statewide

    At-risk Medicare count

    242

    Storm-event records

    571

    Direct NOAA county match

    37.0%

How to read the BPI

  • BPI qualifies a county only when both the NOAA outage-relevant storm signal and the HHS emPOWER medical-count signal are at or above the 80th percentile within the state.
  • The medical signal uses total county count of electricity-dependent Medicare beneficiaries, not the share of beneficiaries within each county.
  • Counties with weak direct NOAA county matching stay out of the public BPI list even when their storm percentile is high.
  • Percentiles are computed within each state only and are not comparable across states.
  • The BPI is a planning layer. It does not claim a forecast, a utility reliability score, or an individualized medical-risk assessment.

Size your backup for South Dakota

Treat winter support as the base case, then add enough runtime for food, communications, and medical continuity through a longer Plains event.

MOST POPULAR

24-hour heating-support essential

Keep heating-system support, communications, and medical essentials online during a winter outage.

Gas Furnace Fan (Blower) WiFi Router CPAP Machine

Load

1189W

Target

24h

Minimum

46,900 Wh

This assumes your home uses a fuel-fired heating system that still depends on blower power. It does not imply a portable power station can replace electric space heating.

Size this scenario in calculator

48-hour plains winter essentials

Add refrigeration for a longer winter or high-wind outage where snow, distance, or storm cleanup slow restoration.

French Door Refrigerator Gas Furnace Fan (Blower) WiFi Router CPAP Machine

Load

1396W

Target

48h

Minimum

110,100 Wh

This is the more realistic South Dakota case for maintaining food, communications, and medical continuity through a multi-day Plains event.

Size this scenario in calculator

Critical Note: No single portable power station in our database covers the full 24-hour baseline at this load (46,900 Wh target vs. 6,144 Wh max in our current database). Use solar recharge, load rotation, or expandable systems for longer events.

Common mistakes in South Dakota

  • Treating South Dakota like a generic winter clone and missing the role of high wind and distance in restoration timing.

  • Letting flood or wildfire recency dominate planning when the stronger household signal is winter continuity.

  • Sizing for one night only when storm cleanup and snow can extend the outage window.

Top mistake: Planning around a short cold snap when South Dakota outages can become multi-day wind-and-winter continuity problems.

Data Sources & Methodology

NRI risk details

Composite score: 56.6 / 100

Rating: Relatively Low

Top modeled hazards: Winter Weather, Hail, Wildfire

Hurricane score: 0.0

Winter Weather score: 85.7

Wildfire score: 75.4

FEMA declaration breakdown

Total (2014-2023): 24

Most recent: 2023-07-06 Flood

Type Count
Severe Storm 8
Biological 5
Fire 4
Flood 4
Winter Storm 3
Sizing formula

Required Wh = (Total Load W × Target Hours / Inverter Derate) × Safety Factor

Inverter derate: 0.70 (30% real-world loss)

Safety factor: 1.15

Rounding: Up to nearest 100 Wh

Historical utility-reported and modeled data. Your experience may vary.

Frequently Asked Questions

How high is outage risk in South Dakota?

South Dakota has an NRI composite risk score of 56.6 (Relatively Low), with 24 federal declarations from 2014 to 2023. NRI's top modeled hazards are Winter Weather, Hail, and Wildfire, while NOAA's outage-relevant record is led by Thunderstorm Wind, High Wind, Flood, and Winter Storm events..

What backup size should I target in South Dakota?

For the primary scenario on this page (24-hour heating-support essential), the estimated minimum is 46,900 Wh for a 24-hour target. Refine this in the calculator with your actual devices.

Why do modeled risk and declaration history sometimes differ?

NRI is a modeled risk index based on hazard exposure, vulnerability, and expected loss. FEMA declarations reflect federally declared incidents. They answer different questions — use both signals together for planning.

What are the most common outage-planning mistakes in South Dakota?

Planning around a short cold snap when South Dakota outages can become multi-day wind-and-winter continuity problems. See the common mistakes section above for more state-specific pitfalls.