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Fire-Prone Parts of Rural Northern California Are Losing Residents, Bucking National Trend

  • Tuolumne County, CA, in the Yosemite foothills, lost more residents than any other fire-prone U.S. county in 2025. It was followed closely by Sutter County, also in rural Northern California.
  • Just one-third of the country’s 308 fire-prone counties lost more residents than they gained, while the other two-thirds gained population. 
  • Pinal County, AZ, located between Phoenix and Tucson, gained about 21,000 more residents than it lost in 2025, largely because of its proximity to major job centers. Next was Washington County, UT, home to St. George. 

Fire-prone parts of rural Northern California are losing more residents than they’re gaining, bucking the national trend of Americans moving into fire-prone parts of the nation. Roughly two-thirds of the fire-prone counties in the U.S. are gaining more residents than they’re losing. 

Tuolumne County, CA, located in the Yosemite foothills and about 170 miles east of San Francisco, lost 775 more residents than it gained last year. That’s a modest net outflow, but it’s the largest among the fire-prone counties in this analysis.  It also marks the first time the county has experienced a net outflow in a decade, except 2022. 

Sutter County, CA, located about 40 miles north of Sacramento, had the second-biggest outflow of residents in 2025, losing 754 more residents than it gained–the third straight year of outflow from the area. Another Northern California county–Lassen, located in far northeastern California and known for its rugged outdoor recreation–comes in fourth, with a net outflow of 502 residents in 2024, marking the eighth straight year of population losses. Starr County, TX, about 70 miles from the city of McAllen on the Mexico border, is third (-603). 

Americans Are Leaving These Fire-Prone Counties Fast

The 10 high-fire-risk counties with the largest net outflows in 2025

Rank U.S. county Net domestic outflow Share of homes facing high fire risk Median home-sale price (June 2026)
1 Tuolumne County, CA -775 96.9% $395,883
2 Sutter County, CA -754 86.8% $438,214
3 Starr County, TX -603 91% $123,153
4 Lassen County, CA -502 96.8% $325,083
5 Summit County, UT -445 95% $1,738,096
6 Taylor County, FL -442 94.6% $249,297
7 Lea County, NM -386 93% $321,772
8 Elmore County, ID -334 94.4% $390,897
9 Chaves County, NM -325 86.6% $211,653
10 Blaine County, ID -314 92.1% $1,241,497

This is based on a Redfin analysis of domestic migration data from the U.S. Census Bureau (excludes immigration) and climate-risk scores from First Street. We define a high-risk county as one that ranks in the top 10% when it comes to the share of homes facing high fire risk—in other words, counties with 84.3%–99.8% of homes facing high risk. Migration data for 2025 covers July 1, 2024-July 1, 2025. A “net outflow” measures how many more people moved out of than into an area, while a “net inflow” measures how many more people moved in than out. This data is subject to revision.

Unlike many fire-prone parts of the U.S. that continue to attract new residents, these Northern California counties face a combination of rising insurance costs, limited housing and job growth, and geographic isolation, along with persistent wildfire risk. Those challenges are outweighing the area’s traditional appeal: outdoor recreation, scenic landscapes and relatively affordable homes. The population losses also follow several years of increasingly destructive wildfires, particularly in Tuolumne County.

Here’s more detail on each area:

  • Tuolumne County: Tuolumne has been hit especially hard by California’s home-insurance crisis, with one of the nation’s highest homeowners insurance nonrenewal rates due to wildfire risk. Limited housing, infrastructure constraints and a shortage of local jobs have also made it harder to attract and retain residents. The county has endured several years of destructive wildfires, including the 2025 TCU Lightning Complex Fires, which destroyed homes and forced evacuations, making the Sierra foothills a less attractive place to live.
  • Sutter County: Although it’s within commuting distance of Sacramento, much of Sutter County is rural and agricultural. It faces wildfire and flood risks, infrastructure challenges and a limited local job base, prompting some residents to relocate closer to stronger employment centers.
  • Lassen County: Lassen has struggled with population decline for years due to its remote location, aging population and limited employment opportunities outside government, corrections, healthcare and natural resources. Wildfire risk and insurance challenges have compounded those long-standing headwinds. The county has also been affected by major fires in recent years, including the Dixie Fire in 2021 and the Park Fire in 2024.

“Wildfire risk alone is rarely enough to deter people from living somewhere. But when the area is isolated and also lacks job opportunities, it’s tough to justify living there,” said Daryl Fairweather, Redfin’s chief economist. “By contrast, fire-prone places that also happen to have booming job markets and proximity to major city centers are still attracting new residents, because those advantages often outweigh concerns about wildfire risk.”

The other fire-prone counties with the biggest net outflow of residents are mostly rural, inland parts of the country. Summit County, UT, home to Park City, comes in fifth, followed by Taylor County, FL, near Tallahassee, and Lea County, NM, an oil producer that borders Texas. One more southeastern New Mexico county is on the list, along with two small-town Idaho counties.

It’s also worth noting that Summit County, UT (Park City) and Blaine County, ID (Sun Valley) are expensive ski towns; average people are increasingly priced out of them. 

Most Fire-Prone U.S. Counties Are Gaining Residents, Led By Arizona and Utah

 

Pinal County, AZ, located between Phoenix and Tucson in central Arizona, gained 21,315 more residents than it lost in 2025–the biggest net inflow of any fire-prone county in the U.S., by far. 

Washington County, UT, home to St. George and Zion National Park, had the second-biggest net inflow, gaining 4,714 more residents than it lost last year. Parker County, TX, located near Fort Worth, comes in third, with a net inflow of 4,614.

One other Arizona county and one other Utah county–Tooele, located near Salt Lake City–are among the top 10 fire-prone places gaining the most residents. Texas is home to four of them, and Creek County, OK rounds out the 10. 

Of the 308 fire-prone counties in this analysis, 204 are gaining more residents than they’re losing. And the fire-prone counties that are gaining residents are seeing much bigger net inflows than the net outflows discussed in the section above. 

Americans Are Flocking to These Fire-Prone Counties

The 10 high-fire-risk counties with the largest net inflows in 2025

Rank U.S. county Net domestic inflow Share of homes facing high fire risk  Median home-sale price (June 2026)
1 Pinal County, AZ 21,315 86.9% $371,602
2 Washington County, UT 4,714 97.5% $533,495
3 Parker County, TX 4,614 95.6% $473,664
4 Douglas County, CO 3,330 91.6% $717,974
5 Grayson County, TX 2,423 85.5% $289,184
6 Wise County, TX 2,380 90.3% $358,987
7 Tooele County, UT 1,925 88.5% $446,141
8 Cochise County, AZ 1,385 97.9% $294,170
9 Kendall County, TX 1,354 91.6% $580,512
10 Creek County, OK 1,229 94.6% $230,849

Unlike the rural parts of Northern California that are losing residents, the fire-prone parts of America that are gaining population tend to offer economic and lifestyle advantages that outweigh wildfire risk for many people. They also tend to be located on the fringes of fast-growing metropolitan areas, where housing is typically more affordable than in nearby big cities. In nine of the 10 of the fire-prone counties gaining the most residents, the typical home costs less than $600,000–and in five of the 10, the typical home costs less than $400,000. 

For instance, many people move to Pinal County because homes cost less than they do in nearby Phoenix, but it’s close enough to commute to jobs in the bigger city. Washington County draws retirees, remote workers and outdoor enthusiasts thanks to its warm climate, relatively low taxes and access to recreation–plus, it has job opportunities in healthcare, construction and tourism. 

Methodology

 

Climate risk data comes from First Street, which assigns six different climate-risk categories to properties across the U.S.—minimal, minor, moderate, major, severe and extreme. For this report, a “high-risk” home is one that falls into the major, severe or extreme category for a climate risk. We define a “high-risk” county as one that ranks in the top 10% when it comes to the share of homes facing high risk. That means a high-fire-risk county is one with 84.3%–99.8% of homes facing high risk. The remaining counties are referred to as low-risk counties. Climate-risk scores are based on a property’s current risk as well as how that risk is expected to grow over the next 30 years.

For every county identified, we calculated the net domestic migration for 2025 using the U.S. Census Bureau’s Vintage Population Estimates data. Net domestic migration is the difference between the number of people moving into an area and the number moving out. 

Dana Anderson

Dana Anderson

As a data journalist at Redfin, Dana Anderson writes about the numbers behind real estate trends. Redfin is a full-service real estate brokerage that uses modern technology to make clients smarter and faster. For more information about working with a Redfin real estate agent to buy or sell a home, visit our Why Redfin page.

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Yingqi Xu

Yingqi Xu

Yingqi is a Senior Economist at Redfin. He studies housing market trends and explains what’s driving them for a broad audience. He previously led research on responsible AI at Freddie Mac, and also worked at Meta and the JPMorgan Chase Institute. Yingqi holds a Ph.D. in economics from Georgetown University, and his research is published in the American Economic Journal: Microeconomics and the Journal of Real Estate Finance and Economics.

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