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GeneratorChecker

Power Outage Risk in North Carolina

Coastal flooding and inland ice storms create different multi-day outage patterns across the same state.

North Carolina combines coastal hurricane flooding in the east with inland ice-storm risk farther west, so no single backup sizing scenario fits the whole state.

19 federal declarations with both hurricane and ice-storm drivers (2014-2023)
FEMA National Risk Index (NRI)
83.6 / 100
Relatively Moderate
FEMA Declarations (2014-2023)
19 Major incidents
Highest Risk Window
Dec-Feb

Mixed Hurricane and Ice-Storm Profile

JanJunDec

What drives outage risk in North Carolina

Hurricane 84.0
FEMA Decl. 11
Winter Weather 78.0
FEMA Decl.
Wildfire 53.8
FEMA Decl. 2
Severe Storm N/A
FEMA Decl. 3

Why North Carolina is different

North Carolina's outage pattern is defined less by wind speed than by water. Duke Energy, the dominant utility in the state, experienced nearly 1.8 million total customer outages across the Carolinas during Hurricane Florence in September 2018. But the storm's most damaging characteristic was not its peak winds. Florence stalled over the coastal plain, dumping record rainfall that flooded entire counties for days after the storm had weakened.

In 12 of the hardest-hit North Carolina counties, more than 75% of Duke Energy customers lost power. Crews could not physically reach communities like Wilmington and New Bern because major highways, including Interstate 95, were impassable under floodwater. Duke Energy estimated that restoration required replacing 500 miles of power lines, 2,600 transformers, and 4,400 power poles. Full restoration took 12 days.

For backup sizing, the flooding pattern changes the equation. Outages in flood-prone eastern North Carolina are not just about the grid going down. Road closures delay utility crews, supply trucks, and fuel deliveries alike. Portable stations here need to carry enough stored energy to bridge a gap that extends well past the storm itself.

Notable Recent Events

Hurricane Florence (2018)

Federal disaster declaration for hurricane causing historic flooding across eastern North Carolina.

Source: FEMA DR-4393

Hurricane Matthew (2016)

Federal disaster declaration for hurricane causing widespread flooding and wind damage.

Source: FEMA DR-4285

Evidence trail

State source notes

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

6 notes
  1. 1 OpenFEMA API

    FEMA declaration count (19) from OpenFEMA API, deduplicated by disaster number, DR/EM/FM types, 2014-2023.

  2. 2 FEMA NRI county layer

    NRI composite score (83.6) from FEMA NRI county layer, population-weighted to state level.

  3. 3 FEMA disaster declaration records

    Hurricane Florence DR-4393 and Hurricane Matthew DR-4285 from FEMA disaster declaration records.

  4. 4 Duke Energy Newsroom

    Florence outages (1.8M customers): Duke Energy Newsroom (2018-09).

  5. 5 Duke Energy Newsroom

    County-level outage severity (75%+ in 12 counties): Duke Energy Newsroom, Sept 16 2018 update.

  6. 6 Duke Energy Newsroom

    Infrastructure replacement (500 mi lines, 2,600 transformers, 4,400 poles, 12-day restoration): Duke Energy Newsroom, Sept 19 2018 update.

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

NRI top hazard is Ice Storm, but Hurricane leads FEMA declarations with 11 of 19 total — a dual-season risk pattern.

Historical Storm Patterns in North Carolina

NOAA storm-event records filtered to outage-relevant event types for North Carolina. 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

21,557

Source as of

2026-03

Included exact NOAA event types for North Carolina: Hurricane (Typhoon), Tropical Storm, Tropical Depression, Thunderstorm Wind, Tornado, High Wind, Strong Wind, Flash Flood, Flood, Storm Surge/Tide, Winter Storm, Ice Storm, Freezing Rain, Heavy Snow, Blizzard.

Hazard seasonality

In this filtered NOAA record set for North Carolina, Jul has the highest monthly count (4,031 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 1,678
Feb 1,332
Mar 862
Apr 1,753
May 2,053
Jun 3,396
Jul 4,031
Aug 2,702
Sep 1,665
Oct 835
Nov 478
Dec 772

Top outage-relevant event types

  1. 1. Thunderstorm Wind 13,050
  2. 2. Flash Flood 2,720
  3. 3. Winter Storm 1,185

    24 events were not mapped to a county ranking.

  4. 4. High Wind 894

    79 events were not mapped to a county ranking.

  5. 5. Flood 854

    11 events were not mapped to a county ranking.

  6. 6. Heavy Snow 732

    27 events were not mapped to a county ranking.

Counties with highest historical outage-relevant storm event frequency

  1. 1. WAKE 819

    95.0% of listed records were matched directly to this county.

  2. 2. SURRY 491

    87.0% of listed records were matched directly to this county.

  3. 3. ROCKINGHAM 451

    89.8% of listed records were matched directly to this county.

  4. 4. GUILFORD 444

    89.6% of listed records were matched directly to this county.

  5. 5. WILKES 420

    86.4% of listed records were matched directly to this county.

  6. 6. RANDOLPH 410

    90.5% of listed records were matched directly to this county.

Coverage and limitations

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

Direct county match

80.1%

Mapped from forecast zone

18.7%

Not assigned to county ranking

1.2%

Unresolved forecast zones

13

  • 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 North Carolina

County-level HHS emPOWER counts for electricity-dependent Medicare beneficiaries in North Carolina.

Official data

97,390 Medicare beneficiaries in North Carolina have claims associated with electricity-dependent medical equipment. (HHS emPOWER, 2026-03)

County-level HHS emPOWER records for this state. Medicare enrollment data only. 100 counties are included in this state snapshot.

Counties by total count

  1. 1. Wake 5,847
  2. 2. Mecklenburg 5,368
  3. 3. Guilford 4,283
  4. 4. Forsyth 3,518
  5. 5. Cumberland 2,829

Counties by share of Medicare beneficiaries

Counties with at least 1,000 Medicare beneficiaries
  1. 1. Wilkes 8.2%
  2. 2. Avery 7.9%
  3. 3. Ashe 7.7%
  4. 4. Surry 7.5%
  5. 5. Alleghany 7.3%
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 North Carolina

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

100

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 North Carolina only and are not comparable across states.

Source notes
  1. 1. WAKE

    County FIPS 37183

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

    At-risk Medicare count

    5,847

    Storm-event records

    819

    Direct NOAA county match

    95.0%

  2. 2. GUILFORD

    County FIPS 37081

    Storm frequency · Top 3% statewide Medical exposure · Top 2% statewide

    At-risk Medicare count

    4,283

    Storm-event records

    444

    Direct NOAA county match

    89.6%

  3. 3. MECKLENBURG

    County FIPS 37119

    Storm frequency · Top 8% statewide Medical exposure · Top 1% statewide

    At-risk Medicare count

    5,368

    Storm-event records

    370

    Direct NOAA county match

    91.6%

  4. 4. FORSYTH

    County FIPS 37067

    Storm frequency · Top 7% statewide Medical exposure · Top 3% statewide

    At-risk Medicare count

    3,518

    Storm-event records

    380

    Direct NOAA county match

    88.4%

  5. 5. RANDOLPH

    County FIPS 37151

    Storm frequency · Top 5% statewide Medical exposure · Top 15% statewide

    At-risk Medicare count

    1,570

    Storm-event records

    410

    Direct NOAA county match

    90.5%

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.

Utility and grid context in North Carolina

State-level utility structure from official EIA Form 861 data, shown as planning context alongside the weather and medical layers.

Official data

Data year

2024

Utilities in scope

54

Residential customers represented

4,932,239

96.2% of in-scope residential customers in North Carolina are served by utilities that report complete annual SAIDI and SAIFI pairs to EIA for 2024, excluding major event days.

GeneratorChecker does not blend statewide SAIDI or SAIFI values across IEEE and Other Standard reporters in this public layer.

This block identifies the utility structure behind the state, but it does not score your local grid reliability.

Market structure by residential customers

  1. IOU (3 utilities) 68.6% 3,384,107 customers
  2. Cooperative (29 utilities) 21.8% 1,076,909 customers
  3. Municipal (21 utilities) 9.4% 463,976 customers
  4. Other (1 utilities) 0.1% 7,247 customers

Largest in-scope utilities by residential customers

  1. 1. Duke Energy Carolinas, LLC 1,919,372

    IOU

  2. 2. Duke Energy Progress - (NC) 1,356,079

    IOU

  3. 3. EnergyUnited Elec Member Corp 121,995

    Cooperative

  4. 4. Virginia Electric & Power Co 108,656

    IOU

  5. 5. Brunswick Electric Member Corp 105,562

    Cooperative

GeneratorChecker analysis
  • GeneratorChecker does not merge IEEE and Other Standard reporters into a single statewide reliability number.
  • Reliability coverage in this public block is based on utilities with complete annual SAIDI and SAIFI pairs filed to EIA for 2024, excluding major event days.
  • Some in-scope utilities filed partial reliability values in 2024, so GeneratorChecker uses coverage context here rather than publishing a statewide reliability score.

Size your backup for North Carolina

Model both a winter reliability case and a storm-season case before buying.

MOST POPULAR

24-hour hurricane essential

Critical loads for the first day of a hurricane outage: refrigeration, medical, communications, and air circulation.

French Door Refrigerator CPAP Machine WiFi Router Box Fan (20-inch)

Load

421W

Target

24h

Minimum

16,700 Wh

NC hurricane outages often extend beyond 24 hours. Have a solar recharge plan for day 2+.

Size this scenario in calculator

Winter ice-storm backup

Heating-system support, communications, and medical continuity during a winter ice-storm outage.

Gas Furnace Fan (Blower) WiFi Router CPAP Machine

Load

1189W

Target

48h

Minimum

93,800 Wh

This winter case assumes your home uses a gas furnace or boiler that still needs blower power. Consider expandable systems for extended coverage.

Size this scenario in calculator

Critical Note: No single portable power station in our database covers the full 24-hour baseline at this load (16,700 Wh target vs. 6,144 Wh max in our current database). Use solar recharge, load rotation, or expandable systems for longer events.

Data Sources & Methodology

NRI risk details

Composite score: 83.6 / 100

Rating: Relatively Moderate

Top modeled hazards: Ice Storm, Riverine Flooding, Hurricane

Hurricane score: 84.0

Winter Weather score: 78.0

Wildfire score: 53.8

FEMA declaration breakdown

Total (2014-2023): 19

Most recent: 2022-10-01 Hurricane

Type Count
Hurricane 11
Severe Storm 3
Biological 2
Fire 2
Severe Ice Storm 1
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 North Carolina?

North Carolina has an NRI composite risk score of 83.6 (Relatively Moderate), with 19 federal declarations from 2014 to 2023. NRI top hazard is Ice Storm, but Hurricane leads FEMA declarations with 11 of 19 total — a dual-season risk pattern.

What backup size should I target in North Carolina?

For the primary scenario on this page (24-hour hurricane essential), the estimated minimum is 16,700 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 North Carolina?

Designing for one weather pattern only and discovering gaps when a different hazard season hits. See the common mistakes section above for more state-specific pitfalls.