Category Archives: Housing Market

State of the States: 2019

.. the State of the States reports and information service provide insights into demographic, economic & business characteristics.  Unique in their composition,  updated daily/weekly, the reports summarize what’s changing where & when and assessing what’s ahead. It organizes disparate Federal statistical data and presents those data in an organized, consumable manner. A resource to help determine how change might affect you, it is an indispensable resource for investors, leaders, policymakers, researchers and decision-makers. See State of the States main section for more information.  Your briefing notes, organized by state.

Some details .. the U.S. economy is slowing, dragged down by trade tensions and weak growth overseas. But there are few signs that the decade-long expansion is on the verge of stalling out. Real Gross Domestic Product (RGDP), the broadest measure of goods and services produced in the economy, rose at a 2.1 percent annual rate in 2019Q2, down from 3.1 percent in 2019Q1, according to preliminary data released by the Bureau of Economic Analysis on 7/26/19.

But what about the states, and what about related measures? In Texas, the 2019Q1 change from 2018Q4 was 5.1 percent annual rate. Texas ranked 2nd among all states. The 2019Q2 state GDP will be posted in section 6.5 on Nov. 7, 2019 (see in scheduled updates). How does Texas compare to other states and the U.S.  Answers are organized in the reports.  Create insights. Share with others.

Part of a multi-dimensional information resource, the state of the states report has been derived from the Situation & Outlook (S&O) database, updated daily. ProximityOne uses the historical S&O database to develop current demographic-economic estimate and projections.

View the U.S. or a State Report .. click a link
.. illustrative reports .. see more about report structure & options in report.
United States
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin

Demographic Analytics Web Sessions
Join me in a Demographics 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.

County Housing Patterns & Trends

.. at a time when “housing costs are going through the roof” and “affordable housing” are topics widely in play, current housing data at the county level are essential for business and public policy planning. In this section, new Census Bureau U.S. by county 2018 housing unit estimates are viewed .. and tools to access and use these data.

Patterns of Housing Unit Percent Change by County: 2010-2018
The graphic below shows patterns of county housing unit percent change from 2010 to 2018. Click graphic for larger view showing more detail.

– view developed using CV XE GIS software and associated GIS project.
– create similar maps for counties/areas using CV XE GIS & associated GIS project.

This section reviews the new 2018 county housing unit estimates (released May 2019) and tools and applications to analyze them. See more about topics covered here in this related Web section.

The U.S. housing stock grew by more than 1.15 million from 2017 to 2018, reaching over 138.5 million units. The growth rate of 0.8 percent from 2017 to 2018. The national housing stock increased by 6.7 million units (5.1 percent) between 7/1/2010 and 7/1/2018. But housing stock change was far from even as shown in the graphic presented above.

Total housing units are the “tip of the iceberg” to examine housing market characteristics. Yet, there are no other Federal statistical data for any other housing attribute for every county more recent than circa mid-2015. Those data are from the American Community Survey 5-year estimates for the period 2013-2017 — data going on 4 years old. For example, there are no Federal statistical data for all counties for the 2018 number of households or vacant units … let alone measures that would enable computing the size and location of affordable housing, one of many important housing market attributes. Use related 2018 and projected housing market data developed by ProximityOne available as part of the Situation & Outlook demographic-economic estimates and projections. Examine these data in context with other geographic and market characteristics in the metro Situation & Outlook reports.

Using the Interactive Table
Use the interactive table to view, rank, compare states and counties based on number of units annually 2010 to 2018 and related measures. Compare counties among metros or states .. or peer groups based on size. Here are two examples of using the table.

Largest Counties based on 2018 Housing Units
.. ranked on 2018 housing units .. click for larger view

Counties with 10,000 or more 2018 Housing Units
.. ranked on percent change 2010-2018 .. click for larger view

Data Analytics Web Sessions
See these applications live/demoed. Run the applications on your own computer.
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 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.

Metropolitan Area New Residential Construction in 2017

.. understanding the housing situation; examining housing supply and demand market conditions; assessing trends for metropolitan areas … and how metros of interest are changing .. tools and data to examine patterns and change.

During 2017, cities and counties in permit issuing places authorized the construction of 1,281,977 new privately owned housing units with a total valuation of $258.5 billion. This was 1.4 percent above the annual estimate of 1,264,051 housing units and is a 6.2 percent increase from the 2016 total of 1,206,642.

Patterns of New Residential Construction by Metropolitan Area
The following graphic shows the 20 largest metropolitan statistical areas (MSAs) based on the number of new residential housing units authorized in 2017. Click graphic for larger view showing MSAs labeled with rank and name.

View created with CV XE GIS. Click graphic for larger view.

Residential Construction Data Analytics — Using Tools & Data
Visit the related Web section to access interactive table and GIS/GeoSpatial analytical tools and data.

Data Analytics Web Sessions
Join me in a Data Analytics Web Session, every Tuesday, where we review access to and use of data, tools and methods relating to GeoStatistical Data Analytics Learning. We review current topical issues and data — and how you can access/use tools/data to meet your needs/interests.

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.
 

Location-Based Demographics Update

.. tools you can use to examine characteristics of addresses/locations .. many of us are interested in knowing attributes of addresses or locations. Often knowing address latitude-longitude is important so that the addresses can be viewed on a map .. see below.  Some might need to know what census block, or other geography, in which an address is located .. or what school district is an address located in.  Others need to know demographic-economic attributes of the neighborhood or area where an address is located.  These types of attributes can be obtained for addresses using the Location-Based Demographic (LBD) tools.  The LBD tool has just been made a part of the CV XE GIS software.  The LBD tool is available in all versions of CV XE GIS, including the no fee User Group version. See more about using the LBD tools to look-up and analyze address/location attributes.

Viewing Geocoded Addresses on a Map – automatically
The following view shows addresses geocoded using the LBD tool. Markers show addresses of 27 Trader Joe’s locations in the Los Angeles area. LBD automatically creates a shapefile that is added to your GIS project. The markers are labeled with population ages 18 and over in the corresponding census tract. Marker color/styles reflect different levels of median household income. A separate census tract layer shows patterns of economic prosperity.

Click graphic for larger view. Expand browser window. A mini profile is displayed showing demographic-economic attributes for the marker at pointer.

View the locations without the tract thematic pattern layer:

Make similar views for your addresses.

Get Started Using the LBD Tool
1 – join the User Group .. click here to join (no fee).
2 – run the installer to install on a Windows machine .. requires your userid.
3 – with CV XE GIS running, click Tools>Find Address/LBD
    enter an address .. a form appears showing characteristics of the address.
4 – see more about using the tools on the LDB page.

GeoStatistical Data Analytics Learning Sessions
We are developing a series of “GeoStatistical Data Analytics” (GSDA) Learning Sessions/modules. One of these is focused on using the LBD tools and methods in the broader context of data analytics. We plan to develop the GSDA models for self-guided use by analysts/practitioners as well as in the classroom setting with teacher/student materials. Upcoming blog posts will describe the program in more detail.

Data Analytics Web Sessions
Join me in a Data Analytics Web Session, every Tuesday, where we review access to and use of data, tools and methods relating to GeoStatistical Data Analytics Learning. We review current topical issues and data — and how you can access/use tools/data to meet your needs/interests.

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 Updates & Trends

.. this past week we have updated Housing Price Index data and tools to examine patterns and trends for the U.S., states, metros and counties .. the Housing Price Index (HPI) is one of many measures useful to gain insights into the housing market. The HPI provides information on how housing value appreciation is changing for areas of interest. Use the interactive table to view, compare, sort metros/CBSAs based on annual HPI 2010-2017 and housing value appreciation during the period. These annual data, with a 2000 base index value of 100, provide insights into longer term patterns.  The HPI is alos updated quarterly for U.S./state/metro areas quarterly for analyses requiring more recent data.  These data are new as of February 2018.

Visual Analysis of Housing Price Appreciation
The following graphic shows housing value appreciation as of 2017 based on the HPI with 2000 base of 100 by county in the Charlotte, NC-SC metro area. See more about by HPI by county for the Charlotte metro.

– view developed using CV XE GIS and related GIS project.
– Click graphic for larger view and details.

See similar HPI 2017 patterns view for the Houston, TX metro.

Housing Price Appreciation 2010-2017 — Largest 10 Metros
This table, derived from the  interactive table, shows the largest 10 metros based on total population. the HPI 2010, HPI 2017, housing price appreciation 2010-2017 and total population are presented in the table. Click the CBSA code link to view HPI by county component for the metro and an extended series.

 Metro CBSA HPI2010 HPI2017 HPA1017 Pop2016
 New York   35620 159.53 172.76 8.29 20,153,634
 Los Angeles   31080 169.83 242.78 42.95 13,310,447
 Chicago   16980 117.48 124.58 6.04 9,512,999
 Dallas   19100 120.89 175.35 45.05 7,233,323
 Houston   26420 134.02 183.52 36.93 6,772,470
 Washington   47900 166.82 198.74 19.13 6,131,977
 PhiladelphiaA   37980 157.26 162.91 3.59 6,070,500
 Miami   33100 140.43 213.91 52.33 6,066,387
 Atlanta   12060 103.95 129.24 24.33 5,789,700
 Boston   14460 134.33 165.27 23.03 4,794,447

– Metro names abbreviated; use table to view full name and code.

Using the HPI Annual 2010-2017 Interactive Table
The following graphic illustrates use of the HPI Annual 2010-2017 interactive table. Click graphic for larger view. This view shows metros in the 250,000-300,000 population peer group. Set your own criteria using tools below the table. There are 23 metros in this group. The table has been sorted on housing price appreciation (HPA) from 2010-2017 (second column from right). It shows that the Merced, CA metro had the highest HPA — 82.13% di=uring this period.

Use the interactive table and examine areas of interest.

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.

 

 

Examining America’s Cities: Demographic-Economic Updates

.. of the approximate 29,500 U.S. cities and places — geographic areas of population concentration — 301 had an ACS 2016 5-year estimated population of 100,000 or more. The median household income among these places, one measure of economic prosperity, ranged from $26,249 (Detroit, MI) to $117,642 (Frisco, TX).

What are the demographic-economic characteristics of your cities/places of interest? How do these compare to peer groups or a metro/state of interest. Learn more using the new city/place demographic interactive tables. Its about more than economic prosperity — using these data provide otherwise unknowable attributes about the demographic, social, economic and housing characteristics of individual cities/places.

Visual Analysis of City/Place Population Dynamics
The following view shows patterns of population percent change by city in the Charlotte, NC/SC metro area.

… view developed using the CV XE GIS software.
… more about above view in City/Place Economic Characteristics section.

Patterns of Economic Prosperity ($MHI) by City/Place
— Northern Virginia, DC, Maryland; part of the Washington, DC metro.

… view developed using the CV XE GIS software.
… click graphic for larger view with places labeled by name and $MHI.

Interactive Tables — new January 2018
Use these interactive tables to get answers, build insights:
• General Demographics
• Social Characteristics
• Economic Characteristics — used to develop data at top of section
• Housing Characteristics
Related:
• City/Place GeoDemographics Main Section
• Annual City/Place Population Estimates & Trends
• Similar ACS tables: Census Tracts | ZIP Codes | State, Metro & County

More About City/Place GeoStatistical Data and Data Analytics
The term “places” as used here refers to incorporated places and Census Designated Places (CDPs). Incorporated places are political areas having certain governmental powers designated by the corresponding state. Unincorporated places, or Census Designated Places (CDPs), are statistical areas having no official standing and no governmental powers but are recognized as being areas of population concentration. Wide-ranging demographic-economic estimates are developed annually for the approximate 29,500 incorporated cities and CDPs based on the American Community Survey 5-year estimates. See more about the ACS 2016 5-year estimates.

Many cities have planning and data development operations that develop important local data including tax parcel data, building permit data, transportation and infrastructure data … bit generally not the data reviewed in this section. Many cities have no planning department to develop, organize and analyze geographic, demographic, economic data … making these data even more essential.

Increasingly in core sections of metropolitan areas, as shown in the above graphics, a large number of cities/places are contiguous. Many retain their own character evolving over many years. Having the detailed ACS demographic-economic data makes it possible to compare places side by side. Use the same data for related drill down geography such as census tracts and block groups to examine neighborhoods and market areas.

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.