Global Economic Intersection
Advertisement
  • Home
  • Economics
  • Finance
  • Politics
  • Investments
    • Invest in Amazon $250
  • Cryptocurrency
    • Best Bitcoin Accounts
    • Bitcoin Robot
      • Quantum AI
      • Bitcoin Era
      • Bitcoin Aussie System
      • Bitcoin Profit
      • Bitcoin Code
      • eKrona Cryptocurrency
      • Bitcoin Up
      • Bitcoin Prime
      • Yuan Pay Group
      • Immediate Profit
      • BitQH
      • Bitcoin Loophole
      • Crypto Boom
      • Bitcoin Treasure
      • Bitcoin Lucro
      • Bitcoin System
      • Oil Profit
      • The News Spy
      • Bitcoin Buyer
      • Bitcoin Inform
      • Immediate Edge
      • Bitcoin Evolution
      • Cryptohopper
      • Ethereum Trader
      • BitQL
      • Quantum Code
      • Bitcoin Revolution
      • British Trade Platform
      • British Bitcoin Profit
    • Bitcoin Reddit
    • Celebrities
      • Dr. Chris Brown Bitcoin
      • Teeka Tiwari Bitcoin
      • Russell Brand Bitcoin
      • Holly Willoughby Bitcoin
No Result
View All Result
  • Home
  • Economics
  • Finance
  • Politics
  • Investments
    • Invest in Amazon $250
  • Cryptocurrency
    • Best Bitcoin Accounts
    • Bitcoin Robot
      • Quantum AI
      • Bitcoin Era
      • Bitcoin Aussie System
      • Bitcoin Profit
      • Bitcoin Code
      • eKrona Cryptocurrency
      • Bitcoin Up
      • Bitcoin Prime
      • Yuan Pay Group
      • Immediate Profit
      • BitQH
      • Bitcoin Loophole
      • Crypto Boom
      • Bitcoin Treasure
      • Bitcoin Lucro
      • Bitcoin System
      • Oil Profit
      • The News Spy
      • Bitcoin Buyer
      • Bitcoin Inform
      • Immediate Edge
      • Bitcoin Evolution
      • Cryptohopper
      • Ethereum Trader
      • BitQL
      • Quantum Code
      • Bitcoin Revolution
      • British Trade Platform
      • British Bitcoin Profit
    • Bitcoin Reddit
    • Celebrities
      • Dr. Chris Brown Bitcoin
      • Teeka Tiwari Bitcoin
      • Russell Brand Bitcoin
      • Holly Willoughby Bitcoin
No Result
View All Result
Global Economic Intersection
No Result
View All Result

Wildfires Pose Big Risk To Nearly 900,000 Western US Homes In 2015. California, Colorado And Texas Contain The Most Homes At Risk.

admin by admin
February 26, 2015
in Uncategorized
0
0
SHARES
11
VIEWS
Share on FacebookShare on Twitter

by CoreLogic

Nearly 900,000 single-family homes across 13 states in the western U.S. are currently designated at “High” or “Very High” risk for wildfire damage, representing a combined total reconstruction value estimated at more than $237 billion. Of the total homes identified, just over 192,000 homes fall into the “Very High Risk” category alone, with total reconstruction cost valued at more than $49.6 billion.


The CoreLogic Wildfire Risk analysis designates risk levels as “Very High,””High,””Moderate” and “Low.” Two additional categories, “Urban” and “Agriculture” indicate homes at even lower risk. Homes designated as “Urban” are located in areas with a dense concentration of buildings and infrastructure to such an extent that little natural vegetation exists to support a wildfire. Homes designated as “Agriculture” are located in areas comprised of row crops, orchards/vineyards or other specific land use that is typically irrigated. Even if it is not irrigated, the crops are nourished and healthy with no ground litter present, and therefore, the vegetation is unlikely to support or enhance a wildfire.

The analysis also assigns a numeric risk score to each property, ranging from 1 to 100. This separate score indicates the level of susceptibility to wildfire, as well as the risk associated with the property being located in close proximity to another high-risk property or area. The score designation is important since wildfire can easily expand to adjacent properties and cause significant damage even if that property was not originally considered high risk. When expanding the analysis to include the numeric score, more than 1.1 million homes fall under the highest Wildfire Risk Score segment (81-100), representing a combined potential reconstruction value of more than $268.5 billion

Total U.S. Properties at Risk and Reconstruction Values by Risk Category

Wildfire Risk LevelTotal PropertiesReconstruction Cost
Very High192,242$49,608,484,867
High704,860$187,661,388,760
Moderate1,351,313$292,811,373,342
Low1,378,104$334,120,053,463
Agriculture993,580$244,167,729,666
Urban23,778,799$6,094,873,170,789
Total:28,398,898$7,203,242,200,887

Total U.S. Properties at Risk and Reconstruction Values by Numeric Risk Score

(1-100)Total PropertiesReconstruction Cost
81-1001,101,131$268,549,008,333
61-801,193,814$338,395,410,748
51-60487,013$131,081,392,801
1-5025,616,940$6,465,216,389,005
Total:28,398,898$7,203,242,200,887

The states most commonly associated with wildfires also contain the most properties at risk – California, Colorado and Texas have the largest number of residential properties categorized as “Very High Risk,” with a combined reconstruction value exceeding $36 billion. Including homes located in the “High Risk” category, the reconstruction value is more than $188 billion for these three states. When analyzed by risk score, 816,515 homes with reconstruction costs valued at more than $206.5 billion fall into the highest risk segment of 81-100.

Limiting the evaluation to property-level risk strictly in the “Very High” category, California tops the list of states analyzed with a total of 50,905 homes falling into that group. Comparatively, when assigning the Wildfire Risk Score, Texas takes the top spot with 451,848 homes scoring in the 81-100 highest-risk range.

Total Properties at Risk by State and Risk Category

StateLowModerateHighVery HighAgricultureUrbanTotal
AZ43,2734,4438,4888,0895,3321,910,7711,980,396
CA221,104169,468255,02350,905146,0138,208,6259,051,138
CO70,93538,62850,00949,66766,8761,482,3521,758,467
ID37,35222,96815,19711,07886,542384,018557,155
MT60,58818,9039,60110,21822,516194,927316,753
NV17,84520,5208,6532813,166816,975867,440
NM55,96919,55425,7669,48116,200483,282610,252
OK165,00988,642187033,225968,2101,255,273
OR37,13741,16051,87213,788157,749938,6641,240,370
TX332,766829,457261,85535,016175,6915,960,2217,595,006
UT11,18513,5903,4416831,825681,016741,125
WA308,06672,06912,5091,997219,3341,625,3942,239,369
WY16,87511,9112,2591,65429,111124,344186,154
Total1,378,1041,351,313704,860192,242993,58023,778,79928,398,898

Total Properties at Risk by State and Numerical Risk Score

State1-5051-6061-8081-100Total
AZ1,919,35114,30827,15919,5781,980,396
CA8,286,708133,654367,457263,3199,051,138
CO1,454,78752,823122,509128,3481,758,467
ID476,3109,55427,86843,423557,155
MT243,99013,11427,30132,348316,753
NV848,6822,3379,1847,237867,440
NM523,75514,48732,13939,871610,252
OK1,250,8881,4312,2197351,255,273
OR1,091,30022,61646,65579,7991,240,370
TX6,458,363197,548487,247451,8487,595,006
UT693,25614,71324,3118,845741,125
WA2,192,5678,66217,00121,1392,239,369
WY176,9831,7662,7644,641186,154
Total25,616,940487,0131,193,8141,101,13128,398,898

Reconstruction Values by State and Numerical Risk Score

State1-5051-6061-8081-100
AZ$369,191,090,202$2,781,562,044$5,612,822,008$4,002,789,607
CA$2,785,871,424,591$53,258,974,686$153,067,995,013$88,448,970,333
CO$333,552,521,110$13,769,558,737$33,846,313,158$36,107,351,913
ID$102,894,072,845$2,426,687,082$6,899,872,812$10,300,994,948
MT$52,685,950,526$2,997,541,855$6,338,603,322$7,639,941,924
NV$216,436,292,731$624,126,373$3,860,921,144$3,188,829,537
NM$105,891,175,664$3,334,262,905$7,919,619,903$10,468,473,653
OK$230,716,181,496$235,452,854$370,084,424$124,431,936
OR$248,596,738,298$5,247,235,235$11,061,921,922$18,192,420,905
TX$1,276,614,038,497$39,753,699,730$97,535,512,589$82,027,014,100
UT$159,359,659,455$4,309,214,977$7,363,299,947$2,115,609,007
WA$547,066,785,312$1,964,631,216$3,905,374,051$4,938,186,894
WY$36,340,458,278$378,445,107$613,070,455$993,993,576
Total$6,465,216,389,005$131,081,392,801$338,395,410,748$268,549,008,333

At the CBSA (Core Based Statistical Area) level, Denver-Aurora-Lakewood, Colo. ranks first for the most number of homes at “Very High” risk out of the 258 CBSAs analyzed. Riverside-San Bernardino-Ontario, Calif. comes in a close second, followed by Sacramento-Roseville-Arden-Arcade, Calif.

When ranking CBSAs based on Wildfire Risk Score, Riverside-San-Bernardino-Ontario, Calif. takes the top spot for the most number of homes that fall under the highest risk segment of 81-100, followed by Sacramento-Roseville-Arden-Arcade, Calif. and Austin-Round Rock, Texas.

Top 10 CBSAs Ranked by Homes at Very High Risk

CBSAVery High # HomesHome Reconstruction Value
Denver-Aurora-Lakewood, CO17,860$5,358,513,217
Riverside-San Bernardino-Ontario, CA14,249$4,233,998,840
Sacramento-Roseville-Arden-Arcade, CA9,698$3,351,781,562
Bend-Redmond, OR9,128$2,328,466,791
Colorado Springs, CO7,296$2,086,189,220
Durango, CO6,052$1,776,710,340
Fort Collins, CO4,609$903,336,600
Truckee-Grass Valley, CA4,569$1,430,020,245
Houston-The Woodlands-Sugar Land, TX4,219$917,157,644
Flagstaff, AZ4,109$753,176,500

Top 10 CBSAs Ranked by Numerical Risk Score

CBSA81-100 Risk ScoreHome Reconstruction Value
Riverside-San Bernardino-Ontario, CA50,605$14,805,549,511
Sacramento–Roseville–Arden-Arcade, CA42,042$15,875,023,943
Austin-Round Rock, TX35,807$9,019,956,767
Denver-Aurora-Lakewood, CO35,174$10,807,628,461
San Antonio-New Braunfels, TX31,350$7,097,211,479
Los Angeles-Long Beach-Anaheim, CA17,006$8,654,562,030
Chico, CA15,103$3,754,593,902
Colorado Springs, CO14,990$4,408,080,237
Truckee-Grass Valley, CA14,671$4,945,547,724
Houston-The Woodlands-Sugar Land, TX14,092$3,063,417,604

*Additional CBSA-level data may be available upon request.

To enhance accuracy, this CoreLogic wildfire analysis has been expanded from prior annual analyses to encompass additional categories of single-family residential structures including mobile homes, duplexes, manufactured homes and cabins, among other non-traditional home types. The values represent estimates of reconstruction costs, taking into account labor and materials, and are based on 100-percent or total destruction of the residential structure. Depending upon the size of the wildfire, there may be less than 100-percent damage to the residence, which would result in a lower realized reconstruction cost.

Previous Post

January 2015 Sea Container Count Contraction Damaging to the Economy

Next Post

Kansas City Fed: Manufacturing Growth Again Weakens in February 2015

Related Posts

Bitcoin Flirts With $24K, How High Will It Go?
Economics

Bitcoin Flirts With $24K, How High Will It Go?

by John Wanguba
February 3, 2023
Venezuela's PDVSA Toughens Oil Prepayment Terms
Business

Venezuela’s PDVSA Toughens Oil Prepayment Terms

by John Wanguba
February 2, 2023
German Economy Unexpectedly Contracts In Q4, Renewing Recession Fears
Economics

German Economy Unexpectedly Contracts In Q4, Renewing Recession Fears

by John Wanguba
February 2, 2023
Judge Dismisses Proposed Class-Action Suit Claiming Coinbase Securities Sales
Business

Judge Dismisses Proposed Class-Action Suit Claiming Coinbase Securities Sales

by John Wanguba
February 2, 2023
Aesop Targeted In $2bn Bidding War Between French Groups
Business

Aesop Targeted In $2bn Bidding War Between French Groups

by John Wanguba
February 1, 2023
Next Post

Kansas City Fed: Manufacturing Growth Again Weakens in February 2015

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Browse by Category

  • Business
  • Econ Intersect News
  • Economics
  • Finance
  • Politics
  • Uncategorized

Browse by Tags

adoption altcoins banking banks Binance Bitcoin Bitcoin adoption Bitcoin market Bitcoin mining blockchain BTC business China crypto crypto adoption cryptocurrency crypto exchange crypto market crypto regulation decentralized finance DeFi Elon Musk ETH Ethereum Europe finance FTX inflation investment market analysis markets Metaverse mining NFT nonfungible tokens oil market price analysis recession regulation Russia technology Tesla the UK the US Twitter

Archives

  • February 2023
  • January 2023
  • December 2022
  • November 2022
  • October 2022
  • September 2022
  • August 2022
  • July 2022
  • June 2022
  • May 2022
  • April 2022
  • March 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
  • April 2021
  • March 2021
  • February 2021
  • January 2021
  • December 2020
  • November 2020
  • October 2020
  • September 2020
  • August 2020
  • July 2020
  • June 2020
  • May 2020
  • April 2020
  • March 2020
  • February 2020
  • January 2020
  • December 2019
  • November 2019
  • October 2019
  • September 2019
  • August 2019
  • July 2019
  • June 2019
  • May 2019
  • April 2019
  • March 2019
  • February 2019
  • January 2019
  • December 2018
  • November 2018
  • October 2018
  • September 2018
  • August 2018
  • July 2018
  • June 2018
  • May 2018
  • April 2018
  • March 2018
  • February 2018
  • January 2018
  • December 2017
  • November 2017
  • October 2017
  • September 2017
  • August 2017
  • July 2017
  • June 2017
  • May 2017
  • April 2017
  • March 2017
  • February 2017
  • January 2017
  • December 2016
  • November 2016
  • October 2016
  • September 2016
  • August 2016
  • July 2016
  • June 2016
  • May 2016
  • April 2016
  • March 2016
  • February 2016
  • January 2016
  • December 2015
  • November 2015
  • October 2015
  • September 2015
  • August 2015
  • July 2015
  • June 2015
  • May 2015
  • April 2015
  • March 2015
  • February 2015
  • January 2015
  • December 2014
  • November 2014
  • October 2014
  • September 2014
  • August 2014
  • July 2014
  • June 2014
  • May 2014
  • April 2014
  • March 2014
  • February 2014
  • January 2014
  • December 2013
  • November 2013
  • October 2013
  • September 2013
  • August 2013
  • July 2013
  • June 2013
  • May 2013
  • April 2013
  • March 2013
  • February 2013
  • January 2013
  • December 2012
  • November 2012
  • October 2012
  • September 2012
  • August 2012
  • July 2012
  • June 2012
  • May 2012
  • April 2012
  • March 2012
  • February 2012
  • January 2012
  • December 2011
  • November 2011
  • October 2011
  • September 2011
  • August 2011
  • July 2011
  • June 2011
  • May 2011
  • April 2011
  • March 2011
  • February 2011
  • January 2011
  • December 2010
  • August 2010
  • August 2009

Categories

  • Business
  • Econ Intersect News
  • Economics
  • Finance
  • Politics
  • Uncategorized
Global Economic Intersection

After nearly 11 years of 24/7/365 operation, Global Economic Intersection co-founders Steven Hansen and John Lounsbury are retiring. The new owner, a global media company in London, is in the process of completing the set-up of Global Economic Intersection files in their system and publishing platform. The official website ownership transfer took place on 24 August.

Categories

  • Business
  • Econ Intersect News
  • Economics
  • Finance
  • Politics
  • Uncategorized

Recent Posts

  • Bitcoin Flirts With $24K, How High Will It Go?
  • Venezuela’s PDVSA Toughens Oil Prepayment Terms
  • German Economy Unexpectedly Contracts In Q4, Renewing Recession Fears

© Copyright 2021 EconIntersect - Economic news, analysis and opinion.

No Result
View All Result
  • Home
  • Contact Us
  • Bitcoin Robot
    • Bitcoin Profit
    • Bitcoin Code
    • Quantum AI
    • eKrona Cryptocurrency
    • Bitcoin Up
    • Bitcoin Prime
    • Yuan Pay Group
    • Immediate Profit
    • BitIQ
    • Bitcoin Loophole
    • Crypto Boom
    • Bitcoin Era
    • Bitcoin Treasure
    • Bitcoin Lucro
    • Bitcoin System
    • Oil Profit
    • The News Spy
    • British Bitcoin Profit
    • Bitcoin Trader
  • Bitcoin Reddit

© Copyright 2021 EconIntersect - Economic news, analysis and opinion.

en English
ar Arabicbg Bulgarianda Danishnl Dutchen Englishfi Finnishfr Frenchde Germanel Greekit Italianja Japaneselv Latvianno Norwegianpl Polishpt Portuguesero Romanianes Spanishsv Swedish