Analysis of ‘FHFA House Price Indexes (HPIs)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e5319b16-ff70-45aa-8cc0-f0f44745258f on 12 February 2022.

--- Dataset description provided by original source is as follows ---

The FHFA House Price Index (HPI) is a broad measure of the movement of single-family house prices. The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975.

--- Original source retains full ownership of the source dataset ---

The 2001 Residential Finance Survey (RFS) was sponsored by the Department of Housing and Urban Development (HUD) and conducted by the Census Bureau. The RFS is a follow-on survey to the 2000 decennial census designed to collect, process, and produce information about the financing of all nonfarm, residential properties. Previous RF surveys have been integral parts of the decennial censuses since 1950. Primary users of RFS data in addition to HUD include the Bureau of Economic Analysis, Fannie Mae and Freddie Mac, and the Congress. Data are collected, tabulated, and presented for properties, the standard unit of reference for financial transactions related to housing. In the RFS, a property is defined as all the buildings and land covered by a single first mortgage. The sample for the RFS is stratified by property size, with large properties overrepresented in the sample. Very large properties are selected with certainty to control their effect on the reliability of the estimates. The RFS is the only standardized single source of detailed information on property, mortgage, and financial characteristics for multiunit properties. Both property owners and mortgage lenders are interviewed, resulting in more accurate information on property and mortgage characteristics. As part of the decennial census, the RFS is mandatory. This is important in collecting information from mortgage lenders.

Analysis of ‘ Zillow Housing Aspirations Report’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/zillow-housing-aspirations-reporte on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

Additional Data Products

Product: Zillow Housing Aspirations Report

Date: April 2017

Definitions

Home Types and Housing Stock

• All Homes: Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.
• Condo/Co-op: Condominium and co-operative homes.
• Multifamily 5+ units: Units in buildings with 5 or more housing units, that are not a condominiums or co-ops.
• Duplex/Triplex: Housing units in buildings with 2 or 3 housing units.

Additional Data Products

• Zillow Home Value Forecast (ZHVF): The ZHVF is the one-year forecast of the ZHVI. Our forecast methodology is methodology post.
• Zillow creates our negative equity data using our own data in conjunction with data received through our partnership with TransUnion, a leading credit bureau. We match estimated home values against actual outstanding home-related debt amounts provided by TransUnion. To read more about how we calculate our negative equity metrics, please see our here.
• Cash Buyers: The share of homes in a given area purchased without financing/in cash. To read about how we calculate our cash buyer data, please see our research brief.
• Mortgage Affordability, Rental Affordability, Price-to-Income Ratio, Historical ZHVI, Historical ZHVI and Houshold Income are calculated as a part of Zillow’s quarterly Affordability Indices. To calculate mortgage affordability, we first calculate the mortgage payment for the median-valued home in a metropolitan area by using the metro-level Zillow Home Value Index for a given quarter and the 30-year fixed mortgage interest rate during that time period, provided by the Freddie Mac Primary Mortgage Market Survey (based on a 20 percent down payment). Then, we consider what portion of the monthly median household income (U.S. Census) goes toward this monthly mortgage payment. Median household income is available with a lag. For quarters where median income is not available from the U.S. Census Bureau, we calculate future quarters of median household income by estimating it using the Bureau of Labor Statistics’ Employment Cost Index. The affordability forecast is calculated similarly to the current affordability index but uses the one year Zillow Home Value Forecast instead of the current Zillow Home Value Index and a specified interest rate in lieu of PMMS. It also assumes a 20 percent down payment. We calculate rent affordability similarly to mortgage affordability; however we use the Zillow Rent Index, which tracks the monthly median rent in particular geographical regions, to capture rental prices. Rents are chained back in time by using U.S. Census Bureau American Community Survey data from 2006 to the start of the Zillow Rent Index, and Decennial Census for all other years.
• The mortgage rate series is the average mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate mortgage in 15-minute increments during business hours, 6:00 AM to 5:00 PM Pacific. It does not include quotes for jumbo loans, FHA loans, VA loans, loans with mortgage insurance or quotes to consumers with credit scores below 720. Federal holidays are excluded. The jumbo mortgage rate series is the average jumbo mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate, jumbo mortgage in one-hour increments during business hours, 6:00 AM to 5:00 PM Pacific Time. It does not include quotes to consumers with credit scores below 720. Traditional federal holidays and hours with insufficient sample sizes are excluded.

About Zillow Data (and Terms of Use Information)

• Zillow is in the process of transitioning some data sources with the goal of producing published data that is more comprehensive, reliable, accurate and timely. As this new data is incorporated, the publication of select metrics may be delayed or temporarily suspended. We look forward to resuming our usual publication schedule for all of our established datasets as soon as possible, and we apologize for any inconvenience. Thank you for your patience and understanding.
• All data accessed and downloaded from this page is free for public use by consumers, media, analysts, academics etc., consistent with our published Terms of Use. Proper and clear attribution of all data to Zillow is required.
• For other data requests or inquiries for Zillow Real Estate Research, contact us here.
• All files are time series unless noted otherwise.
• To download all Zillow metrics for specific levels of geography, click here.
• To download a crosswalk between Zillow regions and federally defined regions for counties and metro areas, click here.
• Unless otherwise noted, all series cover single-family residences, condominiums and co-op homes only.

Source: https://www.zillow.com/research/data/

This dataset was created by Zillow Data and contains around 200 samples along with Unnamed: 1, Unnamed: 0, technical information and other features such as: - Unnamed: 1 - Unnamed: 0 - and more.

How to use this dataset

• Analyze Unnamed: 1 in relation to Unnamed: 0
• Study the influence of Unnamed: 1 on Unnamed: 0
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Acknowledgements

If you use this dataset in your research, please credit Zillow Data

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

The U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by *** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

30 Year Mortgage Rate in the United States decreased to 6.77 percent in June 26 from 6.81 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

MBS Market Outlook

The global mortgage-backed securities (MBS) market size was valued at approximately $2.5 trillion in 2023 and is projected to reach around $3.8 trillion by 2032, growing at a compound annual growth rate (CAGR) of 4.5%. This growth is driven by factors such as increasing demand for diversified investment products, the stability of real estate markets in key regions, and the rising involvement of government-sponsored entities in the securitization process.

One of the primary growth factors of the MBS market is the increasing demand for investment diversification. Investors are continually on the lookout for stable yet lucrative investment opportunities, and MBS provides a unique avenue by offering a relatively safer investment backed by real estate assets. The combination of regular income streams and the potential for capital appreciation makes MBS an attractive option for both institutional and retail investors. Furthermore, the growing sophistication of financial markets globally ensures better transparency and understanding of MBS products, thereby boosting investor confidence.

Another significant growth factor is the stability and growth of the real estate market, particularly in developed regions such as North America and Europe. As the real estate market continues to show robust growth, the underlying assets backing these securities become more valuable and stable, thus enhancing the attractiveness of MBS. Additionally, favorable regulatory frameworks in these regions have facilitated the smooth functioning and growth of the MBS market. Government regulations often play a pivotal role in providing the necessary safeguards and ensuring market stability, which in turn attracts more investors.

The increasing involvement of government-sponsored entities such as Fannie Mae, Freddie Mac, and Ginnie Mae in the United States has also significantly contributed to the growth of the MBS market. These entities not only provide a level of security and credibility but also ensure a steady supply of MBS products in the market. Their active participation helps in maintaining market liquidity and provides a safety net for investors, making the MBS market more resilient to economic downturns. Additionally, similar government-backed initiatives in other regions are expected to drive the market further in the coming years.

From a regional perspective, North America remains the largest market for MBS, driven primarily by the well-established real estate and financial markets in the United States. The presence of major market players and a favorable regulatory environment further solidify its leading position. Europe follows closely, with increasing investments in real estate and government initiatives to boost the financial markets. The Asia Pacific region is expected to witness the highest growth rate, owing to rapid urbanization, increasing disposable incomes, and favorable government policies aimed at boosting the housing sector. Latin America and the Middle East & Africa regions are also expected to show steady growth, driven by improving economic conditions and increasing investment activities.

Type Analysis

The MBS market can be segmented by type into Residential MBS (RMBS) and Commercial MBS (CMBS). Residential Mortgage-Backed Securities (RMBS) are typically backed by residential real estate properties. These securities are attractive to investors due to the low default rates associated with residential properties. The demand for RMBS is particularly high in regions with stable and growing residential real estate markets, such as North America and Europe. The growing trend of homeownership, along with favorable mortgage rates, has significantly contributed to the growth of the RMBS segment. Additionally, the increasing availability of data and analytics has improved the risk assessment associated with RMBS, making it a more attractive investment option.

Commercial Mortgage-Backed Securities (CMBS) are backed by commercial real estate properties, such as office buildings, shopping malls, and hotels. The performance of CMBS is closely tied to the health of the commercial real estate market. With the recovery of the global economy post the COVID-19 pandemic, the commercial real estate market has shown significant signs of recovery, thereby boosting the demand for CMBS. Investors are increasingly looking at CMBS as a means to diversify their portfolios, given the attractive yields and potential for capital appreciation. Moreover, the increasing trend of mixed-use developments and smart cities is expected to drive the demand for CMBS in the coming years.&

House Price Index YoY in the United States decreased to 3 percent in April from 3.90 percent in March of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.