Tag Archives: housing appreciation

Housing Value Appreciation by 3-Digit ZIP Code: 2015Q3-2016Q3

.. tools, data and methods to examine housing value appreciation from 2015Q3 to 2016Q3 by 3-digit ZIP code based on the Housing Price Index (HPI).  How is the housing value changing in areas of interest?  How does housing value appreciation compare among a set of ZIP codes? Which ZIP code areas have the highest and lowest housing value appreciation in a state, region custom defined areas of interest? The HPI is calculated in part using home sales price information from Fannie Mae- and Freddie Mac-acquired mortgages. The U.S. all transactions HPI rose 5.6 percent from the 3rd quarter of 2015 to the 3rd quarter of 2016. Rank, compare, evaluate quarterly or annual housing value change for the approximate 900 3-digit ZIP code areas using the interactive table.

3-Digit ZIP Codes with Highest Housing Value Appreciation
Derived from the interactive table below this table shows the ten 3-digit ZIP codes having the highest housing value appreciation over the year 2015Q3-2016Q3. The areas are ranked on percent HPI change (rightmost column).

Gaining Insights in Housing Prices, Conditions & Markets
.. data, tools and methods to assess characteristics, patterns & trends
.. weekly Housing Data Analytics Lab sessions

Patterns of Housing Value Change by 3-Digit ZIP Code
The following graphic shows housing value appreciation 2015Q3-2016Q3 by 3-digit ZIP code based on the HPI. Use related GIS tools to zoom-in, assign labels, show in context with other geography.

– view developed using CVGIS and related GIS project.
– Click graphic for larger view and details;

Examining Housing Appreciation by 3-Digit ZIP Code
Use the interactive table below to view/rank/compare the non-seasonally adjusted “all transactions” HPI for the most recent 5 quarters for all 3-digit ZIP codes. The ranking table shows the latest quarterly HPI data and preceding quarters for one year earlier. This table will be updated on February 24, 2017, with 4th quarter 2016 data and related prior quarterly estimates and re-computed quarterly change values (last column).

Using the Interactive Table
The following graphic illustrates use of the HPI by 3-digit ZIP code interactive table. HPI data are shown for the quarterly period 2015Q3 through 2016Q3. The state selection below the table has been used to select only California ZIP codes. The Group1 button below the table has been used to select ZIP codes with a 2016Q3 HPI value of 175 ore more. The table is then sorted on the rightmost column. The resulting view shows that among all California 3-digit ZIPs having an HPI of 175 or more in 2016Q3, ZIP code 948/Richmond CA had the highest housing value appreciation — a 10.6% increase over the year.

Use the interactive table to examine states or ZIP code groups of interest.

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.

2015 Housing Price Appreciation by ZIP Code

.. housing value appreciated by 6.77% in the Houston 3-digit ZIP code 770 from the third quarter 2014 through the third quarter 2015 .. how has housing value appreciated in areas of interest during 2015?  Use the  Housing Price Index (HPI) to examine quarterly or annual housing value appreciation by 3-digit ZIP code, metro or state.  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 5.5 percent from 2014Q3 to 2015Q3. Use the interactive table in this section 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 in the related Web section to visually examine and map these data. Install the GIS project on your computer; add your own data.

Housing Value Appreciation 2014Q3-2015Q3 by 3-Digit ZIP Code
The following graphic shows housing value appreciation 2014Q3-2015Q3 by 3-digit ZIP code based on the HPI. Click graphic for larger view and details.

• View developed using CV XE GIS and related GIS project.
• Interactive table coming in December.
• Click to view Houston metro area .. with counties
.. Houston area view with counties shows mini-profile
for 3-digit ZIP code 770; housing appreciation 6.77% 2014Q3-2015Q3.

Related Housing Market Data & Analytical Resources
The HPI alone provides only partial insights. Evaluation of housing markets, and the regional economy, trends and patterns need to use the HPI in combination with many other measures.
2010-2014 annual population estimates: county, metro, state, U.S.
ACS 2014 1-year demographic-economic tables: county, metro, state, U.S.
Housing Unit Time Series, Trends & Patterns
Housing market conditions
ProximityOne Data Services: access/integrate these with other data
• Each data resource section has associated GIS project & datasets.
CV XE GIS software: data analytics, maps, geospatial analysis
• See related Interactive Ranking Tables

Using Tools & Data Resources in this Section
Use tools in this section to examine the quarterly HPI from 2014Q3 to 2015Q3. View/rank/compare HPI trends using the interactive table (see below). Use the GIS tools to visually and geospatially analyze patterns and characteristics of interest. Members of the ProximityOne User Group may download the HPI GIS project and use this project and datasets with the CV XE GIS software. Develop variations on maps shown in this section; add your own data.

Metro Housing Market Reports
Register for information on Metro Housing Market Reports. Updated quarterly, these reports provide a comprehensive housing market assessment and outlook for the U.S. by metro with geographic drill-down (tract and ZIP code) within individual metros.

Visual Analysis of 2014Q3-2015Q3 HPI Patterns by Metro
The following graphic shows housing value appreciation 2014Q3-2015Q3 by metro (MSA) based on the HPI. Click graphic for larger view and details.

– view developed using CV XE GIS and related GIS project.
User Group (join now) members: use HPI GIS project with CV XE GIS.

Interactive Table
The graphic shown below illustrates use of the interactive table to rank metros on the 2014Q3 to 2015Q3 quarter-to-quarter housing appreciation. Two Florida metros, Port St. Lucie and Palm Bay-Melbourne-Titusville, FL, led the nation.

– click graphic for larger view.

Use the interactive table to examine areas of interest. Join me in a Data Analytics Lab session to discuss use of these data using analytical tools and methods applied to your situation.

HPI Updates
The HPI updates quarterly for 3-digit ZIP codes, metropolitan statistical areas and other geography. The next update is scheduled for revisions and the new 2015Q4 on February 25, 2016. See in calendar and set a reminder.

Upcoming Topics
Follow my blog (click button in upper right column) where I will review related market topics, using other data resources and analytical tools available to you at no fee. Upcoming topics include an update on Low & Moderate Income by Census Tract and the Rental Vacancy Rate access, interpretation and role as a leading economic indicator.

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.