ZIP Codes with Highest & Lowest Economic Prosperity

.. the latest data for ZIP Code Areas show that eleven had a median household income of $250,000 or more during the period 2011-15. More than 20 ZIP code areas had a median housing value of $2,000,000 or more. Contrast these ZIP code areas with higher economic prosperity with the more than 150 ZIP codes that had a median housing value of less than $30,000.  Use the interactive table in this related Web section to see which ZIPs meet these and other criteria.

ZIP Codes with MHI $100,000 or More; Dallas, TX Metro
Analyzing economic prosperity patterns using combined types of small area geography … the following graphic shows ZIP code areas a red markers with the median household income or $100,000 or more in context of median household income by census tract thematic pattern. Click graphic for larger view with more detail. Expand browser window for best quality view. Use CV XE GIS software and associated GIS project to develop variations of this view for your areas of interest. .

– view developed with CV XE GIS software.

This section reviews measures of economic prosperity for all ZIP code areas. These data were released in December 2016. This section updates with new data December 2017. See the list of all ZIP ccdes showing population, housing and economic characteristics in the interactive table shown below. Use the interactive table to view, rank, compare and query ZIP code attributes.

Examining demographic-economic characteristics by ZIP code is important for several reasons. We are familiar with our own ZIP codes as a geographic location. We tend to be interested in our area compared to other areas. ZIP codes provide an easy way to do that. Also, many secondary data resources are tabulated by ZIP code area; some important data are only available by ZIP code. See more about ZIP Code areas.

Resources & Methods to Examine Small Area Demographics
• See related ZIP Code Demographic-Economic Interactive Tables
  .. extended subject matter
• See related Census Tract Code Demographic-Economic Interactive Tables
• Examine ZIP Code Urban/Rural Characteristics
• Examine ZIP Code Business Establishment patterns
• Examine ZIP Code Housing Price Index patterns
• Join us in the weekly Data Analytics Lab Sessions
  .. reviewing applications using these and related data.

ZIP Code Areas with $MHI $100,000 or More
The following graphic shows ZIP code areas as red markers having median household income or $100,000 or more. Click graphic for larger view with more detail. Expand browser window for best quality view. Use CV XE GIS software and associated GIS project to develop variations of this view; integrate other data; select alternative ACS 2015 subject matter.

– view developed with CV XE GIS software. Click graphic for larger view.

ZIP Code Areas with $MHV Less than $30,000
The following graphic shows ZIP code areas as orange markers having median housing value of less than $30,000. Click graphic for larger view with more detail. Expand browser window for best quality view. Use CV XE GIS software and associated GIS project to develop variations of this view; integrate other data; select alternative ACS 2015 subject matter.

– view developed with CV XE GIS software. Click graphic for larger view.

ZIP Code Areas: Population & Economic Prosperity
  — Interactive Table –
Use the interactive table to view, rank, compare, query ZIP codes based on a selection of demographic-economic measures. The following graphic illustrates how the table can be used to examine patterns of the three digit ZIP code area (San Diego) by 5-digit ZIP code. Table operations are used to select ZIP codes in the 921 3-digit area (containing 39 5-digit ZIP codes). These 39 ZIP code are then ranked in descending order on median household income. See results in the table shown below. ZIP code 92145 has the highest $MHI in this group with $228.036.

– click graphic for larger view.

Try it yourself. Use the table to examine a set of ZIP codes on your selected criteria in for a state/area 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.

Why Data on Total Housing Units Are So Important

.. data on total housing units are important to the housing industry and many others .. to understand the characteristics, patterns and trends of the housing market, we need good data on the number of housing units. Understanding the how, where, when, how much housing market change might affect you … starts with the number of total housing units by geographic area. As of Census 2010, there were 131,704,730 housing units in the U.S. As of mid-2014, the total number of housing units had increased to 133,957,180 (2.25 million units, a 1.71% increase). See more detail in the related Web section.

Housing Unit Percent Change by County: 2010-2014
Patterns of housing unit percent change by county, 2010-2014, are shown in the map below. More than 1,000 counties (1,214 counties of 3,142) experienced a loss of housing units between 7/2010 and 7/2014 (orange and red fill patterns). Six counties lost more than 1,000 housing units during this period. Click graphic for larger view with details.

– view developed using CV XE GIS software and associated GIS project.
– data based partly on Census 2010 &s Census Bureau housing unit estimates.

Being Informed; Benefits of Using Total Housing Unit Data
Realtors, brokers and selling agents need to know how total housing units are trending — what has been changing where that might affect sales now and in the months ahead. The construction industry and builders need data on the number of housing units and data on the rental vacancy rate to assess likely demand by type of housing in the future. Businesses employing people who might tend to occupy rental properties need to know about the availability and affordability of nearby residential properties. Every school district needs to know how many students there will be enrolled; examining housing unit trends is imperative. By understanding that growth in the housing market may mean new jobs, and more, economic developers, planners and city/neighborhood stakeholders need to monitor what housing unit change in their area means to them. Lenders and financial institutions need these data to assess viability of loans to businesses planning to develop new housing units and assess value in making loans to potential housing buyers.

Understanding the housing stock size, trends and composition in an area, and how that differs from adjacent areas, can help determine the targeted planning for stabilizing and improving local housing markets, developing and preserving affordable rental housing and facilitating neighborhood investment.

Housing Units Defined
A housing unit is a house, apartment, mobile home, group of rooms or single room, which are occupied or intended as separate living quarters. The separate living quarters that define a housing unit are those where the occupants live and eat separately from other residents in the structure or building, and have direct access from the building’s exterior or through a common hallway.

Using the Interactive Table to Examine Housing Unit Patterns
Use the interactive table to examine housing units trends and change by county, metro and state. The following graphic illustrates use of the table to rank counties on the housing unit change from 2010 to 2014. The graphic shows that Wayne County, MI experienced the largest decrease among all counties. Click graphic for larger view with details.

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.

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 the Housing Price Index 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.