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HOUSING MARKETS FACING GREATER RISK OF DECLINE CONCENTRATED IN CALIFORNIA, NEW JERSEY, ILLINOIS AND FLORIDA

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New York City and Chicago Areas More Vulnerable to Drop-offs Along with Inland California; South Still Faces Relatively Small Exposure;

IRVINE, Calif., Dec. 5, 2024 /PRNewswire/ — ATTOM, a leading curator of land, property data, and real estate analytics, today released its latest Special Housing Market Impact Risk Report spotlighting county-level housing markets around the United States that are more or less vulnerable to declines, based on home affordability, equity and other measures in the third quarter of 2024. The report shows that California, New Jersey and Illinois once again had high concentrations of the most-at-risk markets in the country, with parts of Florida also joining that mix. Less-vulnerable markets continued to be clustered in the South region of the nation.

The third-quarter patterns – derived from gaps in affordability, underwater mortgages, foreclosures and unemployment – revealed that two-thirds of the 50 counties around the U.S. considered most exposed to potential fallbacks were in California, Florida, Illinois and New Jersey. Florida was a new addition to that group in the third quarter after earlier periods when it had fewer markets making the list of areas at elevated risk of downturns.

County-level housing markets on the latest list included six in and around Chicago, IL, five in or near New York City and four in southern New Jersey. Another 13 were in California, mostly inland from the Pacific coast. The rest were scattered largely around the Northeast, South and Midwest.

At the other end of the risk spectrum, more than half the markets considered least likely to decline fell in Virginia, Wisconsin, Tennessee, Montana and New Hampshire. They included four in the Washington, DC, area.

The latest gaps come as the nation’s 13-year housing-market boom, along with the broader economy, continue to affect different parts of the country in different ways.

An almost unrelenting increase in home prices has surpassed most wage gains around the country to varying degrees. That has led to home ownership costs consuming more than triple the portion of average wages in some parts of the country compared to others. Similar disparities can be found in several other measures: unemployment rates, the level of homeowners facing foreclosure and the portion owing more on their mortgages than their homes are worth.

“The recent market risk patterns changed a bit in the third quarter, with some new areas making the list of places more or less exposed to downfalls. But the big picture remained pretty much the same around the country as differences in important metrics helped produce varying pockets of vulnerability,” said Rob Barber, CEO at ATTOM. “As with past reports, this one is not meant to suggest any given area is about to fall or is immune from problems. Rather, it spotlights locations that look to be more or less able to withstand significant changes in market conditions. We will continue to keep a close watch on markets throughout the country to see how things track.”

Counties were considered more or less at risk based on the percentage of homes facing possible foreclosure, the portion with mortgage balances that exceeded estimated property values, the percentage of average local wages required to pay for major home ownership expenses on median-priced single-family homes and local unemployment rates. The conclusions were drawn from an analysis of the most recent home affordability, equity and foreclosure reports prepared by ATTOM. Unemployment rates came from federal government data. Rankings were based on a combination of those four categories in 578 counties around the United States with sufficient data to analyze in the third quarter of 2024. Counties were ranked in each category, from lowest to highest, with the overall conclusion based on a combination of the four ranks. See below for the full methodology.

Significant differences in risk continue around the U.S. at a time when market forces could combine to push home values up even further or tamp them down.

Vulnerable housing markets clustered around Chicago, New York City and inland California
The metropolitan areas around New York, NY, and Chicago, IL, as well as broad swaths of California, had 24 of the 50 U.S. counties considered most vulnerable in the third quarter of 2024 to housing market troubles. The counties were among 578 around the nation with enough data to analyze.

The most at-risk counties included Cook, Kane, Kendall, McHenry and Will counties in Illinois and Lake County in Indiana, two in New York City (Kings County, which covers Brooklyn, and New York County, which covers Manhattan) and three in the New York City suburbs (Essex, Passaic and Sussex counties, all in northern New Jersey).

Another 13 were in California: Butte County (Chico), Contra Costa County (outside Oakland), El Dorado County (outside Sacramento), Humboldt County (Eureka) and Solano County (outside Sacramento) in the northern part of the state, plus Kern County (Bakersfield), Kings County (outside Fresno), Madera County (outside Fresno), Merced County, San Joaquin County (Stockton) and Stanislas County (Modesto) in central California. Two others, Riverside and San Bernardino counties, were in southern California.

Worse levels of affordability, underwater mortgages, foreclosures and unemployment continue in most-at-risk markets
Major home-ownership costs (mortgage payments, property taxes and insurance) on median-priced single-family homes and condos were considered seriously unaffordable in 30 of the 50 counties deemed most vulnerable to market drop-offs in the third quarter of 2024. That means those expenses consumed at least 43 percent of average local wages. Nationwide, major expenses on typical homes sold in the third quarter required 34 percent of average local wages, a level also above basic affordability benchmarks.

The highest percentages in the most at-risk markets were in Kings County (Brooklyn), NY (108 percent of average local wages needed for major ownership costs); Riverside County, CA (70.2 percent); El Dorado County, CA (outside Sacramento) (66.3 percent); Passaic County, NJ (outside New York City) (65.9 percent) and New York County (Manhattan), NY (65.1 percent).

At least 6 percent of residential mortgages were underwater in the third quarter of 2024 in 23 of the 50 most-at-risk counties. Nationwide, 5.5 percent of mortgages fell into that category, with homeowners owing more on their mortgages than the estimated value of their properties. Those with the highest underwater rates among the 50 most at-risk counties were St. Clair County, IL (outside St. Louis, MO) (15 percent underwater); Tangipahoa Parish, LA (east of Baton Rouge) (13.7 percent); Pinal County, AZ (outside Phoenix) (12.4 percent); Philadelphia County, PA (11.9 percent) and Marion County, FL (outside Gainesville) (11 percent).

More than one of every 1,000 residential properties faced a foreclosure action in the third quarter of 2024 in 35 of the 50 most vulnerable counties. Nationwide, one in 1,618 homes were in that position. The highest foreclosure-case rates in those counties were in Charlotte County (Punta Gorda), FL (one in 449 residential properties facing possible foreclosure); Osceola County, FL (outside Orlando) (one in 473); Dorchester County, SC (outside Charleston) (one in 509); Cumberland County (Vineland), NJ (one in 571) and Warren County, NJ (outside Allentown, PA) (one in 574).

The August 2024 unemployment rate was at least 5 percent in 34 of the 50 most at-risk counties, while the nationwide figure stood at 4.2 percent. The highest rates were in Merced County, CA (9.1 percent); Kern County (Bakersfield), CA (8.7 percent); Kings County, CA (outside Fresno) (8.2 percent); Cumberland County (Vineland), NJ (7.7 percent) and Madera County, CA (outside Fresno) (7.4 percent).

South has largest portion of counties least at risk
Twenty-two of the 50 counties considered least vulnerable to housing market problems from among the 578 reviewed in the third-quarter report were in the South. Another 13 were in Midwest, followed by 11 in the Northeast and just four in the West.

Tennessee had eight of the least at-risk counties in the third quarter: They included Rutherford and Williamson counties in the Nashville metro area, Blount and Knox County in the Knoxville metro area, Hamilton County (Chattanooga), Bradley County (outside Chattanooga), Sullivan County (Kingsport) and Washington County (Johnson City).

Wisconsin had seven. They were Brown County (Green Bay), Outagamie County (outside Green Bay), Dane County (Madison), Rock County (outside Madison), Eau Claire County, La Crosse County and Winnebago County (Oshkosh).

Less-vulnerable counties aided by better market conditions
Major ownership costs on median-priced single-family homes and condos were seriously unaffordable in only 17 of the 50 counties that were considered least vulnerable to market problems in the third quarter of 2024 (compared to 30 of the most at-risk counties).

The lowest portions of wages required for home ownership were in Potter County (Amarillo), TX (19.1 percent); Oswego County, NY (outside Syracuse) (21.8 percent); Sullivan County (Kingsport), TN (25.9 percent); Shawnee County (Topeka), KS (26.5 percent) and Madison County (Huntsville), AL (26.9 percent).

More than 6 percent of residential mortgages were underwater in the third quarter of 2024 (with owners owing more than their properties were worth) in only one of the 50 least-at-risk counties. Those with the lowest rates were Chittenden County (Burlington), VT (0.8 percent underwater); Loudoun County, VA (outside Washington, DC) (1.6 percent); Rockingham County (Portsmouth), NH (1.9 percent); Henrico County (Richmond), VA (2 percent) and Hillsborough County (Manchester), NH (2 percent).

More than one in 1,000 residential properties faced a foreclosure action during the third quarter of 2024 in none of the least-at-risk counties. Those with the lowest rates were Yellowstone County (Billings), MT (one in 72,252 residential properties faced possible foreclosure); Missoula County, MT (one in 55,084); Berkeley County (Martinsburg), WV (one in 25,646); Medina County, OH (outside Akron) (one in 18,785) and Chittenden County (Burlington), VT (one in 18,302).

The August 2024 unemployment rate was less than the national level of 4.2 percent in 48 of the 50 least-at-risk counties. The lowest rates among those counties were in Dane County (Madison), WI (2.1 percent); Chittenden County (Burlington), VT (2.1 percent); La Crosse County, WI (2.2 percent); Outagamie County, WI (2.3 percent) and Cumberland County (Portland) ME (2.3 percent).

Report methodology
The ATTOM Special Market Impact Report is based on ATTOM’s third-quarter 2024 residential foreclosure, home affordability and underwater property reports, plus August 2024 unemployment figures from the U.S. Bureau of Labor Statistics. (Press releases for affordability, foreclosure and underwater-property reports show the methodology for each.) Counties with sufficient data to analyze were ranked based on the third-quarter percentage of residential properties with a foreclosure filing, the percentage of average local wages needed to afford the major expenses of owning a median-priced home and the percentage of properties with outstanding mortgage balances that exceeded their estimated market values, along with August 2024 county-level unemployment rates. Ranks then were added up to develop a composite ranking across all four categories. Equal weight was given to each category. Counties with the lowest composite rank were considered most vulnerable to housing market problems. Those with the highest composite rank were considered least vulnerable.

About ATTOM
ATTOM provides premium property data and analytics that power a myriad of solutions that improve transparency, innovation, digitization and efficiency in a data-driven economy. ATTOM multi-sources property tax, deed, mortgage, foreclosure, environmental risk, natural hazard, and neighborhood data for more than 155 million U.S. residential and commercial properties covering 99 percent of the nation’s population. A rigorous data management process involving more than 20 steps validates, standardizes, and enhances the real estate data collected by ATTOM, assigning each property record with a persistent, unique ID — the ATTOM ID. The 30TB ATTOM Data Warehouse fuels innovation in many industries including mortgage, real estate, insurance, marketing, government and more through flexible data delivery solutions that include ATTOM Cloudbulk file licensesproperty data APIsreal estate market trendsproperty navigator and more. Also, introducing our newest innovative solution, making property data more readily accessible and optimized for AI applications – AI-Ready Solutions.

Media Contact:
Megan Hunt
megan.hunt@attomdata.com 

Data and Report Licensing:
datareports@attomdata.com

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SOURCE ATTOM

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Baidu to Report First Quarter 2026 Financial Results on May 18, 2026

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BEIJING, April 23, 2026 /PRNewswire/ — Baidu, Inc. (Nasdaq: BIDU; HKEX: 9888 (HKD Counter) and 89888 (RMB Counter)) (“Baidu” or the “Company”), a leading AI company with strong Internet foundation, today announced that it will report its financial results for the First Quarter 2026 ended March 31, 2026, before the U.S. market opens on May 18, 2026. Baidu’s management will hold an earnings conference call at 8:00 AM on May 18, 2026, U.S. Eastern Time (8:00 PM on May 18, 2026, Beijing Time).

Please register in advance of the conference call using the link provided below. It will automatically direct you to the registration page of “Baidu Inc. Q1 2026 Earnings Conference Call”. Please follow the steps to enter your registration details, then click “Register”. Upon registering, you will then be provided with the dial-in number, the passcode, and your unique access PIN. This information will also be emailed to you as a calendar invite.

For pre-registration, please click:
https://s1.c-conf.com/diamondpass/10054331-iu876y.html

In the 10 minutes prior to the call start time, you may use the conference access information (including dial-in number(s), the passcode and unique access PIN) provided in the calendar invite that you have received following your pre-registration.

Additionally, a live and archived webcast of this conference call will be available at https://ir.baidu.com.

A replay of the conference call may be accessed by phone at the following number until May 25, 2026:
US: 1 855 883 1031
Reply PIN: 10054331

About Baidu

Founded in 2000, Baidu’s mission is to make the complicated world simpler through technology. Baidu is a leading AI company with strong Internet foundation, trading on Nasdaq under “BIDU” and the HKEX under “9888.” One Baidu ADS represents eight Class A ordinary shares.

View original content:https://www.prnewswire.com/news-releases/baidu-to-report-first-quarter-2026-financial-results-on-may-18-2026-302751204.html

SOURCE Baidu, Inc.

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Phase 1 of 139th Canton Fair Introduces New Dedicated Product Zones as Emerging Technologies Take Center Stage

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GUANGZHOU, China, April 23, 2026 /PRNewswire/ — The 139th China Import and Export Fair (Canton Fair) has further optimized its exhibition landscape with nine new dedicated product zones, reflecting ongoing structural shifts in global trade and the continued upgrading of China’s export portfolio.

Among the most closely watched additions in Phase 1 are the consumer and agricultural drone zones, both making their debut at the Canton Fair and offering a focused showcase of applications in the low‑altitude economy. The consumer drone zone showcases progress in flight control, AI‑based obstacle avoidance and energy efficiency across imaging, tourism, emergency response and patrol. The agricultural drone zone highlights precision farming, with spraying, seeding and field‑management demonstrations showing terrain‑following, intelligent route planning, and precise payload control.

On day one, a Shandong‑based drone manufacturer welcomed buyers from 30+ countries, with over 50 strong leads. One buyer, after seeing load and wind‑resistance demonstrations, immediately confirmed three sample units and even proposed becoming a regional distributor.

Display technology is another focal point of Phase 1, highlighting advances in color accuracy, energy efficiency, and overall visual performance. Developments in fine‑grained control, expanded color gamut, and reduced power consumption point to a clear trend toward immersive viewing experiences combined with sustainability gains.

The smart wearables zone underscores how intelligent devices are becoming key interfaces for human‑machine interaction. From real‑time language translation and adaptive noise cancellation to long‑term health monitoring and AI‑enabled eyewear, wearables are evolving from standalone products into integrated systems that support communication, well‑being, and productivity across daily and professional settings.

The service robots zone further illustrates how artificial intelligence is moving from conceptual exploration to large‑scale deployment. Advanced robots showcased across industrial, commercial, medical, and public‑service scenarios demonstrate growing autonomy, multi‑sensory perception, and closer human-robot collaboration.

By bringing emerging technologies into clearer focus through dedicated zones, the 139th Canton Fair is reinforcing its function as a platform where trade trends take shape, innovation meets application, and global buyers gain early insights into cutting-edge technologies.

For pre-registration, please click: https://buyer.cantonfair.org.cn/register/buyer/email?source_type=16

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OZMOSI Announces Strategic Partnership with Planview to Advance AI-Driven Planning in Pharmaceutical R&D

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By combining structured clinical intelligence with AI-driven portfolio planning, the partnership gives pharmaceutical teams a faster, clearer way to make high-stakes R&D decisions

SPRING LAKE HEIGHTS, N.J., April 23, 2026 /PRNewswire/ — OZMOSI, a leading provider of structured pharmaceutical development intelligence, today announced a strategic partnership with Planview, the leading AI-powered end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Delivery (DPD).

By integrating OZMOSI’s machine-readable clinical datasets directly into Planview’s AI-driven portfolio planning platform, external scientific data is now connected to internal R&D planning in one system,  helping pharmaceutical organizations better predict market shifts, prioritize R&D investments, and make faster, more confident decisions.

This integration brings external clinical reality into internal R&D decision-making, so teams can plan based on what’s actually happening, not just on what they hope will happen.

The two organizations combine deep expertise in complementary areas, united by a shared focus on improving the quality and usability of data for strategic decision-making. OZMOSI provides structured, machine-readable intelligence across clinical trials, drug development programs, regulatory activity, and scientific literature, built on a consistent taxonomy that standardizes how data is connected and understood. Planview’s platform enables organizations to model complex investment scenarios, align initiatives with corporate strategy, and optimize resource allocation.

Together, these capabilities give teams a clearer, more complete view of the R&D landscape, grounded in clean, standardized data and strengthened by AI-driven analysis.

“AI is only as powerful as the data that fuels it,” said Beau Bush, President and Founder of OZMOSI. “Pharmaceutical organizations have no shortage of data, but too often it’s fragmented, inconsistent, and difficult to operationalize. By bringing OZMOSI’s structured data foundation together with Planview’s AI-driven planning capabilities, we’re enabling teams to move beyond disconnected analysis and toward truly integrated, forward-looking decision-making.”

“Strategic planning in pharmaceutical R&D is becoming increasingly dependent on advanced analytics and AI,” said  Louise Allen, Chief Product Officer at Planview. “Integrating OZMOSI’s clinical intelligence into Planview’s platform enables pharmaceutical leaders to make better decisions by combining trusted external data with AI-driven planning

OZMOSI’s dataset spans more than 800,000 clinical trials, over 35,000 drugs, and 4,000 diseases and conditions. It brings together insights from clinical trial registries, regulatory filings, scientific literature, company disclosures, and industry announcements into a unified, structured dataset.

When integrated into Planview’s platform, this intelligence enables pharmaceutical and biotech organizations to evaluate competitive landscapes, identify emerging clinical trends, and simulate portfolio outcomes with unprecedented precision.

Together, OZMOSI and Planview are redefining how pharmaceutical organizations approach R&D strategy, ensuring that investment decisions are guided by accurate, standardized, and AI-ready data. By combining internal portfolio visibility with a continuously updated external view of the market, the partnership helps leaders not only understand what they have, but what to do next.

About OZMOSI

Founded in 2013, OZMOSI specializes in transforming complex pharmaceutical R&D intelligence into structured, machine-readable data. The company provides the foundation needed for accurate competitive analysis, product forecasting, and portfolio strategy. Through its proprietary taxonomy and semantic layer, OZMOSI connects fragmented data across the pharmaceutical ecosystem, enabling faster, more confident decision-making for global pharma, biotech, and investment teams.

Based in Spring Lake Heights, New Jersey, OZMOSI is focused on making pharmaceutical intelligence clear, usable, and ready for the future of AI-driven strategy. Learn more at www.ozmosi.com.

About Planview

Planview is the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Delivery (DPD), powered by advanced AI capabilities that give business and technology leaders the strategic foresight to prioritize investments and initiatives, make plans real within constraints, and pivot with certainty when things change. Our AI-driven connected platform of solutions underpins the business and digital transformations of more than 3,000 customers and 3.1 million users globally. Headquartered in Austin, Texas, Planview has over 1,500 employees worldwide. Learn more at www.planview.com.

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