Le Lézard
Subjects: Photo/Multimedia, Survey, Economic News/Analysis

Mixed Performance in the Latest CoStar Composite Price Indices


This month's CoStar Commercial Repeat Sale Indices (CCRSI) provides the market's first look at commercial real estate pricing trends through March 2023. Based on 1,164 sale pairs in March 2023 and more than 289,037 repeat sales since 1996, the CCRSI offers the broadest measure of commercial real estate repeat sales activity.

CCRSI National Results Highlights

Quarterly CCRSI Property Type Results

Quarterly CCRSI Regional Results

 

Monthly CCRSI Results, Data through March 2023

 

 

1 Month
Earlier

1 Quarter
Earlier

1 Year
Earlier

Trough to
Current

Value-Weighted U.S. Composite Index

-1.3%

-2.4%

-5.2%

156.1%1

Equal-Weighted U.S. Composite Index

1.3%

0.5%

4.8%

158.7%2

U.S. Investment-Grade Index

-1.4%

-5.8%

-3.4%

161.1%3

U.S. General Commercial Index

1.3%

1.4%

6.2%

158.3%4

1 Trough Date: January 2010 2 Trough Date: March 2011 3 Trough Date: October 2009 4 Trough Date: March 2011

About The CoStar Commercial Repeat-Sale Indices

The CoStar Commercial Repeat-Sale Indices (CCRSI) are the most comprehensive and accurate measures of commercial real estate prices in the United States. In addition to the national Composite Index (presented in both equal-weighted and value-weighted versions), national Investment-Grade Index, and national General Commercial Index, which are reported monthly, 30 sub-indices in the CoStar index family are reported quarterly. The sub-indices include breakdowns by property sector (office, industrial, retail, multifamily, hospitality, and land), by region of the country (Northeast, South, Midwest, and West), by transaction size and quality (general commercial, investment-grade), and by market size (composite index of the prime market areas in the country).

The CoStar indices are constructed using a repeat sales methodology, widely considered the most accurate measure of price changes for real estate. This methodology measures the movement in the prices of commercial properties by collecting data on actual transaction prices. When a property is sold more than once, a sales pair is created. The prices from the first and second sales are then used to calculate price movement for the property. The aggregated price changes from all the sales pairs are used to create a price index. Historical price indices are revised as additional repeat transactions are recorded.

Available Monthly and Quarterly CCRSI Indices

 

National
Composite
CRE Price
Index

National
Indices by
Property
Type

Regional
Indices

Regional
Indices by
Property Type

Prime
Market Indices
by
Property Type

All Properties

Office

Northeast

Northeast:

Office, Multifamily, Industrial, Retail

Office

General Commercial

Retail

Midwest

Midwest:

Office, Multifamily,

Industrial, Retail

Multifamily

Investment-Grade

Industrial

South

South:

Office, Multifamily, Industrial, Retail

Industrial

 

Multifamily

West

West:

Office, Multifamily, Industrial, Retail

Retail

 

Hospitality

 

 

 

 

Land

 

 

 

Prime Office Markets

 

Prime Industrial Markets

CBSA Listed Alphabetically

 

 

CBSA Listed Alphabetically

Boston

 

 

Atlanta

 

Los Angeles

 

 

Chicago

 

New York

 

 

Dallas

 

Orange County

 

 

Houston

 

San Francisco

 

 

Los Angeles

 

Seattle

 

 

Northern New Jersey

 

Washington, D.C.

 

 

Riverside

 

 

 

 

Seattle

 

 

 

Prime Retail Markets

 

Prime Multifamily Markets

 

CBSA Listed Alphabetically

 

 

CBSA Listed Alphabetically

 

Boston

 

 

Boston

 

Los Angeles

 

 

Chicago

 

New York

 

 

Houston

 

Orange County

 

 

Los Angeles

 

San Diego

 

 

New York

 

San Francisco

 

 

Orange County

 

San Jose

 

 

San Francisco

 

Washington, D.C.

 

 

San Jose

 

 

 

 

Seattle

 

 

 

 

Washington, D.C.

For more information about the CCRSI Indices, including the full accompanying data set and research methodology, legal notices, and disclaimer, please visit http://costargroup.com/costar-news/ccrsi.

About CoStar Group

CoStar Group (NASDAQ: CSGP), is a leading provider of online real estate marketplaces, information, and analytics in the property markets. Founded in 1987, CoStar conducts expansive, ongoing research to produce and maintain the largest and most comprehensive database of commercial real estate information. Our suite of online services enables clients to analyze, interpret and gain unmatched insight on commercial property values, market conditions and current availabilities. STR provides premium data benchmarking, analytics, and marketplace insights for the global hospitality industry. Ten-X provides a leading platform for conducting commercial real estate online auctions and negotiated bids. LoopNet is the most heavily trafficked commercial real estate marketplace online. Apartments.com, ApartmentFinder.com, ForRent.com, ApartmentHomeLiving.com, Westside Rentals, AFTER55.com, CorporateHousing.com, ForRentUniversity.com and Apartamentos.com form the premier online apartment resource for renters seeking great apartment homes and provide property managers and owners a proven platform for marketing their properties. Homesnap is an industry-leading online and mobile software platform that provides user-friendly applications to optimize residential real estate agent workflow and reinforce the agent-client relationship. Homes.com is the fastest growing online residential marketplace that connects agents, buyers, and sellers. BureauxLocaux is one of the largest specialized property portals for buying and leasing commercial real estate in France. Business Immo is France's leading commercial real estate news service. CoStar Group's websites attract tens of millions of unique monthly visitors. Headquartered in Washington, DC, CoStar Group maintains offices throughout the U.S., Europe, Canada, and Asia. From time to time, we plan to utilize our corporate website, CoStarGroup.com, as a channel of distribution for material company information. For more information, visit CoStarGroup.com.



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