Tag Archives: Fannie Mae

Housing Price Index 2017Q3-2018Q3

.. this past week the 3rd quarter 2018 (2018Q3) Housing Price Index (HPI) was released for the U.S., states and metros. As a leading economic indicator, the HPI often gives insights into how the housing market and economy might be changing in the months ahead. The fact that the HPI data are quarterly and become available with a short lag time makes the measure even more valuable. This section provides an update on the HPI 2018Q3 and quarterly data for the past year. See the related Web page for more detailed data and access to the HPI data via interactive table.

Visual Analysis of 2017Q3-2018Q3 HPI Patterns
The following graphic shows housing value appreciation 2017Q3-2018Q3 by metro based on the HPI.

Click graphic for larger view and details. This view developed using CV XE GIS and related GIS project. Members of the ProximityOne User Group (join now, no fee) may used the CV XE GIS software and GIS project to create similar views with different HPI measures. Zoom-in. Add labels. Add other geography/data. Create views/graphics for reports and stories.

The Larger Picture
The HPI is calculated using home sales price information from Fannie Mae- and Freddie Mac-acquired mortgages. By itself, the HPI provides limited insights into the broader picture of “the why” and “how otherwise” states and metros are changing. The Situation & Outlook Metro Profiles provide an integrated view of the HPI measure in combination with other economic, demographic and business activity measure. View the HPI integrated with other subject matter … choose a metro. Metro Profiles are updated continuously and are available for each of the metropolitan area.

HPI Interactive Table
Use the HPI interactive table to view/rank/compare the non-seasonally adjusted “all transactions” HPI for the most recent 5 quarters for all Metropolitan Statistical Areas (MSAs), states and the U.S. The graphic shown below illustrates use of the interactive table to rank all metros in descending order on the percent change over the past year.

Updates & Related Measures
Quarterly HPI measures are used to updated the interactive table, GIS project and Metro Profiles. HPI by county, ZIP Code and census tract are updated annually. The 2018 county, ZIP Code and census tract HPI data are scheduled for release in February 2019.

Data Analytics Web Sessions
Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

Housing Price Index by 5-Digit ZIP Code

.. tools to examine housing prices by 5-digit ZIP code and how they are changing .. of the 17,931 5-digit ZIP codes tabulated, 8,074 experienced a decrease in housing value during the period 2010 to 2015. At the same time, 8,672 ZIP code areas experienced an increase in housing value. Housing prices increased for most ZIP codes from 2014 to 2014.  Find out more about housing prices and trends for ZIP codes of interest using tools described here. These data are based on experimental estimates of the Housing Price Index (HPI) by 5-digit ZIP code based in part on home sales price data from Fannie Mae- and Freddie Mac-acquired mortgages. See more about these data.

• Use the interactive table to view, rank, compare the HPI for all 5-digit ZIP code areas tabulated.
• Use GIS tools described here to develop thematic pattern maps; add your own data & geography, select different HPI measures or criteria; zoom to different geographic extents, label and modify colors as desired.

Gaining Insights in Housing Prices, Conditions & Markets
  .. Characteristics, Patterns & Trends
  .. join in .. one hour web session — overview & connectivity details

Patterns of Housing Value Change by ZIP Code: 2010-15
The following graphic shows patterns of housing value appreciation by ZIP Code: 2010-15 for the Houston metro (bold brown boundary). The color patterns/intervals are shown in the inset legend. Data are not available, using the criteria applied (2000 base year), for areas not colored In the larger view (click graphic), ZIP codes are labeled with HPI percent change from 2010 to 2015. Click graphic for larger view. Expand browser to full window for best quality view. Use the GIS tools described here to develop thematic pattern maps for a range of data and criteria.

.. view developed using the CV XE GIS software.
.. click map for larger view and details.

Additional views:
Atlanta area
New York City area
Washington, DC area
Los Angeles area

Examining Recent Trends; Current Estimates & Projections
The interactive table presents annual HPI data 2010 through 2015. A much larger set of these ZIP codes show a negative change between 2010 and 2015 compared to the one year change 2014-2015; The data generally show more ZIP codes experiencing housing value appreciation 2014-2015 compared to the longer period 2010 to 2015. These trends underscore the importance of having more recent data for use in analysis, planning and decision-making. The next update based on transaction data will be May 2017 or later.

ProximityOne uses the HPI transaction data with other data to develop HPI current estimates (2016) and annual projections to 2021 with quarterly updates as a part of the Regional Demographic-Economic Modeling System (RDEMS). Experimental county-up (metro, state, U.S.) and sub-county estimates and projections are planned for the fall 2016 quarterly update. The model based estimates and projections include the number of units by type and value that are added to the housing stock used to compute a variation of the HPI.

Housing Price Index by 5-Digit ZIP Code: 2010-2015
  — Interactive Table
Use the interactive table to examine the Housing Price Index (HPI) by 5-digit ZIP code. The following graphic illustrates use of the table to show the 10 ZIP codes experiencing the largest percentage increase in the HPI from 2014 to 2015. Click graphic for larger view. Examine cities or ZIP code ranges of interest using tools below the table.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

Housing Price Index Metro & State Trends

.. HPI quarterly update … use the Housing Price Index (HPI) to examine quarterly or annual housing value appreciation by metro or state. How is housing value appreciation changing among metros of interest? The HPI is calculated in part using home sales price information from Fannie Mae- and Freddie Mac-acquired mortgages. The U.S. HPI all transactions, non-seasonally adjusted, value increased by 5.25 percent from 2014Q2 to 2015Q2. During this period the Sebastian-Vero Beach, FL MSA experienced the highest rate of housing value appreciation among all metros.

Use the interactive table to compare and contrast HPI quarterly data for/among all metropolitan statistical areas, states and the U.S. Use the GIS tools and data resources reviewed below to visually examine and map these data. See related Web section for more detail.

Visual Analysis of 2014Q2-2015Q2 HPI Patterns
The following graphic shows housing value appreciation 2014Q2-2015Q2 by metro based on the HPI.

– click graphic for larger view and details; view developed using CV XE GIS.
Use the HPI GIS project with CV XE GIS software; create different views.
– view/analyze different HPI measures; zoom-in; add labels.
– apply queries; add other geography/data.
– create views/graphics for reports and stories.

HPI Metro & State Patterns Interactive Table
Use the interactive table to view/rank/compare the non-seasonally adjusted “all transactions” HPI for the most recent 5 quarters for all Metropolitan Statistical Areas (MSAs), states and the U.S. The graphic shown below illustrates the start-up view of the table. The blue highlighted value shows the U.S. national annual change 2014Q2 to 2015Q2.

– click graphic for larger view

Ranking Metros
The following graphic illustrates how the table can be used to 1) select only metros and 2) rank metros in descending order based on annual change 2014Q2-2015Q2. The Sebastian-Vero Beach, FL MSA experienced the highest rate of housing value appreciation among all metros.

– click graphic for larger view

Data Analytics Lab Web Sessions
The HPI provides one part of a larger picture of demographic-economic conditions and trends. Join me in Data Analytics Lab sessions where we explore the mechanics of making the HPI thematic pattern view shown above. Examine the process of integrating other data. Create variations of this view or entirely different visual analysis GIS projects.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data.

Housing Price Index 2013Q3-2014Q3

The Housing Price Index (HPI) is a popular economic measure available by state and metro in a timely manner with quarterly updates.  It fits into many decision-making applications where insights are needed into how housing prices are changing by state, region and metro. This section provides an update on the HPI 2014Q3 and quarterly data for the past year. See the related Web page for more detailed data and access to the HPI data via interactive table.

Visual Analysis of 2013Q3-2014Q3 HPI Patterns
The following graphic shows housing value appreciation 2013Q3-2014Q3 by metro based on the HPI.

Click graphic for larger view and details. This view developed using CV XE GIS and related GIS project. Members of the ProximityOne User Group (join now, no fee) may used the CV XE GIS software and GIS project to create similar views with different HPI measures. Zoom-in. Add labels. Add other geography/data. Create views/graphics for reports and stories.

The Larger Picture
By itself, the HPI provides limited insights into the broader picture of “the why” and “how otherwise” states and metros are changing. The MetroDynamics Metro Profiles provide an integrated view of the HPI measure in combination with other economic, demographic and business activity measure. View the HPI integrated with other subject matter in these examples … HoustonCharlotte. Metro Profiles are updated continuously and are available for each of the 917 metropolitan areas

About the HPI
The HPI is calculated using home sales price information from Fannie Mae- and Freddie Mac-acquired mortgages, continued upward momentum in U.S. house prices remained strong in the third quarter 2014, as prices rose 0.9 percent from the previous quarter. This is the thirteenth consecutive quarterly price increase in the purchase-only, seasonally adjusted index.

As measured with purchase-only indexes for the 100 most populated metropolitan areas in the U.S., third quarter price increases were greatest in the San Jose-Sunnyvale-Santa Clara, CA MSA where prices increased by 6.6 percent. Prices were weakest in the Greensboro-High Point, NC MSA, where they fell 4.4 percent. Eleven of the 20 metropolitan areas with the highest annual appreciation rates were in California.

HPI Interactive Table
Use the HPI interactive table to view/rank/compare the non-seasonally adjusted “all transactions” HPI for the most recent 5 quarters for all Metropolitan Statistical Areas (MSAs), states and the U.S. The graphic shown below illustrates use of the interactive table to rank all metros in descending order on the percent change over the past year.

Updates
Quarterly HPI measures are used to updated the interactive table, GIS project and Metro Profiles. Use the calender to view the year-ahead HPI release and integration schedule.

Support Using these Resources
Learn more about demographic economic data and related analytical tools. Join us in a Decision-Making Information Web session. There is no fee for these one-hour Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants.

Metro Housing Price Index: 2013Q3

Goto ProximityOne  Examining housing value appreciation … the Housing Price Index (HPI) provides a measure to examine/analyze housing price levels and variations among metros and states.  The HPI, calculated using home sales price information from Fannie Mae- and Freddie Mac-acquired mortgages, continued upward momentum in U.S.  Housing prices remained strong in the third quarter 2013, as prices rose 2.0 percent from the previous quarter. This is the ninth consecutive quarterly price increase in the purchase-only, seasonally adjusted index.  It marks the first time since 2009 that the national house price level is higher than it was five years ago.  This section reviews use of HPI data and analytical tools to examine housing price patterns and trends among metros and states.

HPI Percent Change 2012Q3-2013Q3 by Metro
hpimetromap1

The HPI alone provides only partial insights — based on this one measure. Evaluation of housing markets, and the regional economy, trends and patterns need to use the HPI in combination with many other measures. Situation & Outlook reports integrate HPI data with other demographic-economic measures.

Interactive Trend Analysis: Metros & States
Use this interactive table to examine the HPI quarter to quarter over the past year by state and metro. The ranking table provides an easy way to rank/compare housing prices for a single metro area or a group of metros.  The graphic presented below shows the top-ranked metros based on HPI percent change from 2012Q3 to 2013Q3.  Optionally rank on any of the quarter-to-quarter changes.  Note that seven of the top ten metros (rate of appreciation over past year) are in California. Using the  interactive table, scroll down using the right scroll bar to view how other metros rank.  Or, double-click the rightmost column to rank in descending order to view metros experiencing the highest rates of decline.

HPI by Quarter; Annual/Quarter-to-Quarter Appreciation Percent Change
hpi1

The above graphic illustrates selecting all metros.  Using tools below the interactive table, alternatively select all metros in only one state, all states and no metros or other combinations.

Thematic Pattern Maps
ProximityOne User Group members (join now, no fee) may download the all U.S. metro shapefile with all items shown in the interactive table integrated into the shapefile, ready to use.  Create thematic maps using HPI items with pattern settings of interest.  The map view presented above was developed using this shapefile with integrated HPI data.

Alternative Methods of Estimating Housing Value Appreciation
The HPI is one indicator of measuring home value appreciation at the metro or state level.  See the FHFA home value calculator that illustrates how the HPI can be used to compute estimated value now or at a different point in time.  This tool illustrates the concept but is fraught with problems of real usability.  Using differently sourced data, ProximityOne computes housing value appreciation indexes at the ZIP Code area, census tract and higher level geography.

Watching HPI Patterns
This post will be updated in late February 2014, with release of the 2013 fourth quarter HPI.