2020 Mortgage Market Statistical Annual (with U.S. shipping)
Data for 2019 calendar year.
The 33rd edition of the Mortgage Market Statistical Annual gathers all of the data for the 2019 calendar year into a single volume that you can keep in arm's reach. You’ll have a complete picture of the state of the residential mortgage industry from the comprehensive, highly reliable data in this edition—everything from mortgage loan originations and servicing to loan securitizations and GSEs.
The "Gold Standard" of Mortgage Statistics
The data in the Annual are the result of IMF's exclusive market surveys and research—the same deep storehouse of reliable, accurate and exclusive information often cited by the media, in investor documents and analysts’ reports. With the 33rd edition of the Annual, you’ll have at your fingertips more than 100 data sets, covering every facet of the residential mortgage market.
You can research:
- Top mortgage originators, servicers, underwriters and issuers
- Mortgage originations by product and channel
- Top FHA, VA, nontraditional, ARM and jumbo mortgage producers
- GSE mortgage pools
- Large mortgage servicer delinquency and foreclosure rates
- Loss mitigation activity
- Bank, private mortgage insurers and GSE earnings
- Mortgage profitability data, including repurchase activity
- MBS and mortgage investor rankings
- And many more
All data in the MMSA are for the U.S. mortgage market.
April 2020: The 2020 MMSA is temporarily being delivered as a PDF via email link.
Your printed book will be shipped as soon as work situations normalize.
Also available in Excel™-format. Drawing on more than a decade of research, the Excel™-format MMSA collection brings the full MMSA data set to you in spreadsheet form, for use in larger research and analysis projects. It includes approximately 10 years of historical data (varying by chart) through the 2019 calendar year. Order the 2020 edition, single-user license, by choosing your shipping option from the dropdown above. Call us at 800-570-5744 for multi-user pricing.