Updated Strategic Relocation Guide: Top U.S. Retreat Areas for the Next 15–20 Years

Joel Skousen’s Strategic Relocation (last substantive update ~2020) was groundbreaking for its time, providing a rigorous, threat-based analysis of retreat locations centered on surviving a high-intensity external conflict—primarily a nuclear exchange followed by potential invasion or totalitarian consolidation. His metrics remain excellent for that specific scenario: distance from nuclear targets, upwind fallout patterns, defensible terrain, low population density, abundant water/timber/soil, and conservative political culture to resist post-collapse tyranny.

However, as of late 2025, the dominant threat vector has shifted dramatically from external kinetic war to internal systemic control executed through technology, energy dependence, and economic pressure. Skousen’s framework largely overlooks what is now the single most transformative force reshaping rural America: the hyperscale data center / AI infrastructure boom.

This is the key metric Skousen is missing so far. And threat levels are still evolving.

Avoidance of Hyperscale Data Center Corridors and Their “Constant Drain” Effects

Unlike intermittent natural disasters (hurricanes, tornadoes, wildfires) or even a hypothetical nuclear strike, data centers impose a persistent, compounding degradation on rural retreat viability:

• Energy competition and grid strain: Hyperscale facilities routinely consume 100–1,000+ MW each, equivalent to small cities. Multiple campuses in a single region can overwhelm rural grids, leading to higher residential rates, rolling blackouts during peak demand, or forced ratepayer-funded infrastructure upgrades.
• Water consumption: Many designs (especially evaporative cooling) draw millions of gallons daily, stressing aquifers and municipal supplies, directly competing with agricultural and household needs.
• Economic and demographic influx: Data centers attract tech workers, support industries, and secondary development, rapidly inflating land prices, altering local politics, and increasing population density—precisely the opposite of retreat goals.
• Noise, light pollution, and visual blight: Large campuses with constant cooling fans and backup generators erode the quiet, dark-sky rural character essential for off-grid peace.
• Future surveillance adjacency: Proximity to AI training clusters increases the likelihood of expanded fiber, 5G/6G towers, and monitoring infrastructure.

In Skousen’s era, the primary rural threat was post-nuclear chaos or martial law. In 2025, the primary rural threat is quiet annexation by Big Tech. This slow-motion transformation turns viable retreat zones into high-cost, high-density, utility-stressed suburbs without a single shot being fired.

Classic Skousen favorites like northern Idaho, western Montana, eastern Oregon, and parts of Utah and Wyoming—once near-perfect on his metrics—are now seeing aggressive 2025–2030 proposals for gigawatt-scale data centers driven by AI training demand. These developments introduce the very “constant drain” that erodes self-sufficiency faster than occasional tornadoes or even manageable hurricanes.

Conversely, warmer Southern rural zones that Skousen historically downgraded due to hurricane risk (e.g., the Northern Florida Panhandle, inland North Florida, southern Alabama, northern Louisiana) score exceptionally high on the new decisive metric: complete absence of hyperscale development combined with superior climate-driven food independence.

The result is an inversion of traditional rankings. Areas with long growing seasons, abundant rainfall, and proven insulation from the AI infrastructure boom now offer the longest viable runway for personal freedom and self-sufficiency during the predicted 15–20 year window of gradual systemic tightening—precisely the period before conditions may become unworkable short of divine intervention.

Skousen’s framework is not wrong for its original threat model; it is simply incomplete for the current and near-future threat model. Adding “Avoidance of Hyperscale Data Center Corridors” as a primary filter—weighted at least as heavily as growing season or water access—produces the dramatically updated rankings reflected in this guide.

Until Skousen (or a successor) formally integrates this metric, his classic recommendations risk directing preparers into regions that will quietly lose their retreat viability within a decade, while overlooking Southern rural gems that currently offer the optimal balance of warmth, resources, affordability, and freedom from the most insidious modern threat.

Key updated metrics used for ranking:

1. Length of growing season and climate suitability for year-round food production – Warmth and frost-free days are now heavily weighted for sustainable off-grid gardening and reduced energy needs.
2. Abundance of natural resources – Fresh water, fishing, hunting, timber, and fertile soil for long-term self-sufficiency.
3. Absence of hyperscale/AI data center development – Zero existing or proposed large-scale facilities (the biggest modern threat to rural character, utility rates, and grid stability).
4. Low population density and rural zoning flexibility – Space for privacy, homesteading, and off-grid builds without restrictive codes.
5. Affordability and conservative political/cultural environment – Low land costs and supportive communities for freedom-oriented living.
6. Mitigable natural disaster risk – Intermittent threats (hurricanes, tornadoes) are acceptable if preparation is feasible; constant drains from tech infrastructure are worse.
7. Distance from central urban/infrastructure control nodes – Avoiding areas likely to attract future

List of States

1. Alabama

Data Center Activity: Low–Moderate
Threat Notes: Small clusters near Birmingham/Huntsville only. Rural south and central counties remain insulated—minimal grid strain. Strong zoning freedom.

2. Alaska

Data Center Activity: Low
Threat Notes: Harsh climate and logistics keep hyperscale away—energy cost > DC risk.

3. Arizona

Data Center Activity: High (Top-Tier)
Threat Notes: Phoenix metro is a national hotspot. Severe water stress, heat load, grid saturation, land near substations rapidly industrializing.

4. Arkansas

Data Center Activity: Emerging → Moderate
Threat Notes: Incentive-driven projects appearing quietly. Watch transmission corridors and economic-development zones.

5. California

Data Center Activity: High
Threat Notes: Power cost, wildfire, seismic risk. Regulatory pressure may push growth outward, but the internal footprint remains large.

6. Colorado

Data Center Activity: Moderate
Threat Notes: Front Range pressure; western slope remains low. Wildfire risk is growing.

7. Connecticut

Data Center Activity: Low–Moderate
Threat Notes: Enterprise/colo only. High power costs, tight zoning.

8. Delaware

Data Center Activity: Moderate
Threat Notes: Northeast corridor spillover. Small land base; coastal storm exposure.

9. Florida

Data Center Activity: Moderate (metro-clustered)
Threat Notes: Boom limited to central/south metros. Panhandle & north-central Florida remain low-pressure. Hurricane risk is the main tradeoff.

10. Georgia

Data Center Activity: High (Rapidly Expanding)
Threat Notes: Atlanta is a top U.S. hub. Massive grid expansion, ratepayer risk, and farmland conversion are spreading outward.

11. Hawaii

Data Center Activity: Low
Threat Notes: Cost, land scarcity, island logistics, block scale.

12. Idaho

Data Center Activity: Moderate
Threat Notes: Boise/Treasure Valley draw. Spillover risk into rural areas near power.

13. Illinois

Data Center Activity: High
Threat Notes: Chicago metro saturation. Power delivery delays and industrial corridor creep.

14. Indiana

Data Center Activity: Moderate
Threat Notes: Indy + Chicago spillover. Rezoning near interstates/transmission lines.

15. Iowa

Data Center Activity: Moderate
Threat Notes: Longstanding hyperscale presence. Watch water use and incentive politics.

16. Kansas

Data Center Activity: Low–Emerging
Threat Notes: KC fringe only. Tornado exposure, but minimal grid pressure.

17. Kentucky

Data Center Activity: Low–Moderate
Threat Notes: River flood zones. Otherwise, low DC pressure in rural east/south.

18. Louisiana

Data Center Activity: Moderate (pockets)
Threat Notes: Some large campuses exist, but many northern parishes remain untouched. Storm/humidity considerations.

19. Maine

Data Center Activity: Low
Threat Notes: Cold climate and remoteness limit interest.

20. Maryland

Data Center Activity: Moderate–High
Threat Notes: DMV spillover from Northern Virginia. Zoning conflict risk.

21. Massachusetts

Data Center Activity: Moderate
Threat Notes: Enterprise demand only. High regulatory friction.

22. Michigan

Data Center Activity: Moderate
Threat Notes: Southeast MI pockets. Upper Peninsula remains under very low pressure.

23. Minnesota

Data Center Activity: Moderate
Threat Notes: Twin Cities enterprise + some hyperscale. Winter resilience.

24. Mississippi

Data Center Activity: Low–Moderate
Threat Notes: Minimal tech pressure outside Jackson. Tornado/humidity tradeoffs.

25. Missouri

Data Center Activity: Moderate
Threat Notes: KC/St. Louis clusters. Ozarks remain insulated.

26. Montana

Data Center Activity: Emerging
Threat Notes: Developers eye cheap land + power. Grid-scale proposals create future risk, wildfire exposure.

27. Nebraska

Data Center Activity: Low–Moderate
Threat Notes: Omaha/Lincoln only. Corridor siting risk.

28. Nevada

Data Center Activity: Moderate
Threat Notes: Reno/Vegas orbit. Water scarcity + heat are the primary constraints.

29. New Hampshire

Data Center Activity: Low
Threat Notes: Winter + small parcels. Minimal hyperscale interest.

30. New Jersey

Data Center Activity: High
Threat Notes: Dense Northeast colo belt. Land scarcity, high taxes, and grid congestion.

31. New Mexico

Data Center Activity: Low–Emerging
Threat Notes: Water scarcity and wildfire are the real constraints.

32. New York

Data Center Activity: High
Threat Notes: NYC metro saturation. High regulation and power cost.

33. North Carolina

Data Center Activity: Moderate–High
Threat Notes: Raleigh/Durham + Charlotte growth. Corridor creep and utility constraints.

34. North Dakota

Data Center Activity: Low
Threat Notes: Cold climate; otherwise minimal tech pressure.

35. Ohio

Data Center Activity: High–Moderate
Threat Notes: Columbus region primary magnet. Transmission and land conversion issues.

36. Oklahoma

Data Center Activity: Emerging–Moderate
Threat Notes: OKC/Tulsa interest. Tornado risk, but low grid saturation.

37. Oregon

Data Center Activity: High (localized)
Threat Notes: The Hillsboro corridor is a central West Coast hub. Eastern OR remains low.

38. Pennsylvania

Data Center Activity: Emerging → High Growth
Threat Notes: One of the fastest-growing pipelines. Zoning fights and grid expansion are coming.

39. Rhode Island

Data Center Activity: Low
Threat Notes: Small land base; coastal exposure.

40. South Carolina

Data Center Activity: Moderate
Threat Notes: Greenville/Columbia pockets. Inland areas remain viable.

41. South Dakota

Data Center Activity: Low
Threat Notes: Winter exposure; minimal tech pressure.

42. Tennessee

Data Center Activity: Moderate
Threat Notes: Nashville/Chattanooga corridors. Rural east/south is still viable.

43. Texas

Data Center Activity: High (Top-Tier)
Threat Notes: DFW is a national hub. Grid volatility, heat, water, and land near substations are under pressure.

44. Utah

Data Center Activity: Moderate
Threat Notes: Wasatch Front growth. Water scarcity is emerging.

45. Vermont

Data Center Activity: Low
Threat Notes: Cold climate, strict regulation.

46. Virginia

Data Center Activity: Very High (Global Epicenter)
Threat Notes: Loudoun County = world’s largest concentration. Grid strain, zoning backlash, rural loss, and rate pressure.

47. Washington

Data Center Activity: Moderate
Threat Notes: Seattle metro + some east-side nodes. Wildfire east of the Cascades.

48. West Virginia

Data Center Activity: Low–Emerging
Threat Notes: Spillover potential from VA/PA. Corridor-specific risk.

49. Wisconsin

Data Center Activity: Low–Moderate
Threat Notes: Madison/Milwaukee enterprise. Winter resilience is the primary concern.

50. Wyoming

Data Center Activity: Low–Emerging
Threat Notes: Energy-rich and remote. Transmission limits and winter are the gatekeepers.

1) Joel + You scorecard (0–10 each)

A. Data-Center Pressure (0–10) — weight 30%

• 0–2 = no meaningful hyperscale pipeline; far from top markets
• 3–5 = some metro/utility corridor activity; manageable if you choose right county
• 6–8 = major market or direct spillover; constant risk of new campuses
• 9–10 = top-tier market / global hotspot (think NoVA, Phoenix, Atlanta, Dallas) Data Centers+3CBRE+3CBRE+3

B. Grid & Rate Risk (0–10) — weight 15%
Higher score = safer (less volatility).
Look for: “power delivery delays”, new generation plans, rate battles, mega-load forecasts. U.S. Energy Information Administration+3U.S. Energy Information Administration+3The Department of Energy’s Energy.gov+3

C. Water Security (0–10) — weight 20%
Higher score = easier well/spring access + lower scarcity risk. (Arizona/NV/UT/NM score lower; springs/river regions score higher.)

D. Zoning / Freedom / Build Flexibility (0–10) — weight 15%
Higher score = rural counties with permissive codes; minimal HOA; easier wells/solar/outbuildings.

E. Disaster Profile (0–10) — weight 10%
Higher = fewer catastrophic risks. (Coastal hurricane/storm surge lowers; tornado alley lowers; wildfire/earthquake zones lower.)

F. Land Affordability & Tax Drag (0–10) — weight 5%
Higher = cheaper acreage + lower property tax pressure.

G. Cultural Compatibility / Governance Drift (0–10) — weight 5%
Higher = likely alignment with your “freedom + self-sufficiency” values.

Weighted score formula

Total =
0.30A + 0.15B + 0.20C + 0.15D + 0.10E + 0.05F + 0.05*G

How to use it in real life (county-level screening):

• Utility filings & IRPs (integrated resource plans): look for “10,000 MW for data centers” type plans (Georgia is the poster child). AP News+1
• Interconnection queues/substation expansion maps (big tell)
• County commission agendas: “megaproject”, “technology campus”, “special use permit”, “rezoning to industrial.”
• Tax incentive awards: often the first breadcrumb
• Cooling/water controversies: rising in local opposition nationwide The Verge+1

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2) Expanded 50-state data-center activity + Joel/You threat notes

I’m keeping each state compact but more actionable: where the clusters are + how the threat shows up.

Alabama — Low–Moderate

Clusters: Birmingham/Hoover corridor; Huntsville area.
Threats: localized substation buildouts along I-65/I-20; otherwise, rural south/inland stays good.

Alaska — Low

Clusters: Anchorage small footprint.
Threats: energy logistics > data centers.

Arizona — High

Clusters: Phoenix / “Data Center Alley” West Valley (Goodyear–Buckeye–Mesa/Tempe orbit).
Threats: water + heat + grid capacity fights; land near power gets bid up. CBRE+2CBRE+2

Arkansas — Emerging → Moderate

Clusters: Little Rock orbit; eastern border logistics corridors.
Threats: incentives + ratepayer politics; “quiet counties” can flip fast. Axios+1

California — High

Clusters: Bay Area/Silicon Valley; LA/OC; San Diego; Inland Empire.
Threats: power cost + wildfire + permitting; growth can “push” into NV/AZ/OR.

Colorado — Moderate

Clusters: Denver/Front Range.
Threats: wildfire + land cost; rural western slope much lower.

Connecticut — Low–Moderate

Clusters: Hartford/New Haven enterprise/colo.
Threats: power costs; tighter zoning.

Delaware — Moderate

Clusters: NE corridor spillover.
Threats: small state = land scarcity; coastal storm risk.

Florida — Moderate (metro-clustered)

Clusters: Miami–Ft Lauderdale; Orlando; Tampa; Jacksonville.
Threats: hurricanes/insurance + localized utility growth corridors; Panhandle/north-central remain comparatively insulated if you track county rezones.

Georgia — High

Clusters: Metro Atlanta (the monster), plus exurban ring pushing south/west.
Threats: grid expansion for data centers, ratepayer risk, and farmland conversion. CBRE+2AP News+2

Hawaii — Low

Threats: cost + land + island logistics.

Idaho — Moderate / spillover watch

Clusters: Boise/Treasure Valley.
Threats: corridor targeting near power + migration pressure.

Illinois — High

Clusters: Chicago metro.
Threats: power delivery delays + tight vacancy, + corridor industrialization. CBRE+1

Indiana — Moderate

Clusters: Indy; Chicago spillover NW Indiana.
Threats: industrial rezoning near interstates/transmission.

Iowa — Moderate

Clusters: Des Moines/Cedar Rapids pockets.
Threats: water + incentives; rural siting can appear quietly.

Kansas — Low–Emerging

Clusters: KC fringe.
Threats: tornado profile; incentives can attract sudden builds.

Kentucky — Low–Moderate

Clusters: Louisville/Cincy orbit.
Threats: river flood zones; corridor creep.

Louisiana — Moderate (pockets)

Clusters: Baton Rouge / New Orleans orbit; select north projects.
Threats: humidity + storms; watch incentive-driven megasites. (Some major projects fuel public scrutiny.) The Verge+1

Maine — Low

Threats: winter + short season (your homestead lens).

Maryland — Moderate–High (DMV spillover)

Clusters: I-270 corridor; Baltimore orbit.
Threats: zoning conflict; spillover from NoVA.

Massachusetts — Moderate

Clusters: Boston/Cambridge enterprise.
Threats: power cost + permits.

Michigan — Moderate

Clusters: Detroit/Ann Arbor; Grand Rapids.
Threats: winter resilience; UP very low DC pressure.

Minnesota — Moderate

Clusters: Twin Cities.
Threats: legislative pushback on incentives is growing in some states (watch policy drift). The Verge

Mississippi — Low–Moderate

Clusters: Jackson area small; Gulf coast minor.
Threats: tornado/humidity; incentive surprise builds.

Missouri — Moderate

Clusters: KC / St. Louis.
Threats: tornado; corridor creep.

Montana — Emerging

Clusters: scattered interest; not a top market.
Threats: grid strain proposals + wildfire + valley “boom” effects (your list already flags this). Pew Research Center+1

Nebraska — Low–Moderate

Clusters: Omaha/Lincoln.
Threats: corridor siting near transmission.

Nevada — Moderate

Clusters: Reno/Tahoe logistics; Vegas orbit.
Threats: water + heat + power siting.

New Hampshire — Low

Threats: winter + tax structure; small footprint.

New Jersey — High

Clusters: Northern NJ / NY metro colo belt.
Threats: land scarcity, dense zoning, and power cost.

New Mexico — Low–Emerging

Clusters: Albuquerque/Santa Fe light.
Threats: water + wildfire.

New York — High

Clusters: NYC metro; some upstate nodes.
Threats: high regulation; power cost.

North Carolina — Moderate–High

Clusters: Raleigh/Durham; Charlotte.
Threats: corridor growth + utility constraints. CBRE+1

North Dakota — Low

Threats: winter; otherwise, low DC pressure.

Ohio — High–Moderate

Clusters: Columbus region (big magnet); Cleveland/Cincy.
Threats: transmission + land conversion.

Oklahoma — Emerging–Moderate

Clusters: OKC/Tulsa.
Threats: tornado; incentives.

Oregon — High (in one corridor)

Clusters: Hillsboro/Portland area.
Threats: wildfire/smoke; permitting; corridor constraints.

Pennsylvania — Emerging → High growth

Clusters: Philly orbit; Harrisburg/Allentown logistics corridors.
Threats: aggressive pipeline growth; zoning fights. The Verge+1

Rhode Island — Low

Threats: coastal storms + small land base.

South Carolina — Moderate

Clusters: Greenville/Spartanburg; Columbia; Charleston.
Threats: coastal storm zones; inland is more stable.

South Dakota — Low

Threats: winter; otherwise low DC.

Tennessee — Moderate

Clusters: Nashville; Chattanooga; Knoxville corridor.
Threats: corridor creep; flood zones.

Texas — High

Clusters: Dallas–Fort Worth (top tier), Houston, Austin/San Antonio pockets.
Threats: grid volatility, heat, water, land near substations; biggest magnet dynamics. CBRE+2JLL+2

Utah — Moderate

Clusters: SLC/Provo.
Threats: water + power siting.

Vermont — Low

Threats: winter, regs, small parcels.

Virginia — Very High (world hotspot)

Clusters: Loudoun/Prince William/Fairfax (“Data Center Alley”).
Threats: the full suite: grid strain, rate battles, zoning backlash, noise/visual, land distortion. Data Centers+3CBRE+3CBRE+3

Washington — Moderate

Clusters: Seattle; some east-side nodes.
Threats: wildfire east; permitting west.

West Virginia — Low–Emerging spillover

Clusters: panhandle spillover potential from VA/MD/PA.
Threats: corridor builds if NoVA pushes outward.

Wisconsin — Low–Moderate

Clusters: Milwaukee/Madison.
Threats: winter + localized incentives.

Wyoming — Low–Emerging

Clusters: scattered; energy-rich.
Threats: transmission constraints; winter; potential “energy-to-compute” plays.

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3) Example: applying the scorecard to your Top 10 (quick + consistent)

These are illustrative first-pass scores (county choice can swing them). Higher total = better fit for your “avoid DC strain + keep water/growing season + zoning freedom.”

1. FL Panhandle (Walton/Okaloosa/Santa Rosa)
   A=3, B=7, C=9, D=7, E=5, F=6, G=8 → ~6.6
2. North-Central FL (Columbia/Suwannee/Lafayette)
   A=2, B=7, C=9, D=8, E=6, F=7, G=8 → ~7.1
3. South AL inland (Covington/Geneva/Houston)
   A=2, B=7, C=8, D=8, E=6, F=8, G=8 → ~7.1
4. Central AL rural (Autauga/Chilton/Coosa)
   A=2, B=7, C=7, D=7, E=7, F=7, G=7 → ~6.6
5. North LA rural (Bienville/Webster/Claiborne)
   A=4, B=6, C=8, D=8, E=6, F=9, G=8 → ~6.8
6. East TX piney woods (Angelina/San Augustine)
   A=5, B=5, C=8, D=7, E=6, F=7, G=8 → ~6.3 (Texas grid/rate risk pulls it down) U.S. Energy Information Administration
7. South GA rural (Coffee/Berrien/Cook)
   A=4, B=5, C=8, D=7, E=6, F=8, G=8 → ~6.3 (Atlanta gravity is the “long shadow”) CBRE+1
8. SC upstate/piedmont (Laurens/Newberry)
   A=3, B=6, C=7, D=6, E=7, F=6, G=7 → ~6.0
9. Eastern Ozarks (MO/AR border)
   A=2, B=7, C=8, D=7, E=6, F=7, G=7 → ~6.7
10. WNC far west (Cherokee/Clay)
    A=2, B=6, C=8, D=6, E=6, F=5, G=7 → ~6.1

What this shows: under your stated priorities, North-Central FL + South AL inland come out #1/#2, with the FL Panhandle still excellent but a hurricane profile lowering the Disaster score.