Category Archives: Housing Market

Census 2020 Residential Address Counts by Block

.. using Census 2020 residential address count data to examine change since 2010 .. the Census Bureau has released preliminary Census 2020 residential address counts by Census 2010 census block. These data, count of residential addresses and group quarters addresses, reflect updates as of October 2019 and do not represent final Census 2020 counts. The data will continue to be updated to support Census 2020. See related Web section with more detail and updates.

Importance and Use
These data are of immediate value in determining and analyzing how the number of housing units have changed, 2010 to 2019. Since the data are at the census block level, they may be aggregated to any other Census-defined summary level/type of geographic area such as block group, tract, ZIP code, city, county, school district, etc. These data are also important as they give us a “year in advance look” at how small area demographics are changing since 2010. Before this, the most recent census block data were from Census 2010. A lot has happened in many areas. These data provide insights into that change. The Census 2020 block level data will be released in early 2021 for Census 2020 census block geography. So, another important feature of these data is that they are summarized for Census 2010 census block boundaries. Census 2010 and 2020 block boundaries may differ, particularly in areas experiencing larger demographic growth/change. An important limitation is that they are counts, subject to change as the Census data are collected/tabulated.

Comparing Census 2010 Housing Units with Census 2020 Address Counts
The following graphic shows patterns of Census 2010 housing counts with the Census 2020 (late 2019 vintage) residential address counts by census block. This view is focused on census tract 3608100700 (tract 000700) in Queens County, NY (code shown near center of graphic). Individual blocks are labeled with block code (4 digits) with the Census 2010 housing units (yellow label) and Census 2020 residential address count (green label) shown below the block code. As an example, the block located at the pointer has block code 3006 (or full national scope unique block code 36-081-00700-3006) with a Census 2010 count 44 housing units and a Census 2020 (late 2019 count) of 232 residential addresses. Click graphic for larger view. Expand browser window to full screen for best quality view.

.. view created with ProximityOne CV XE GIS software and related GIS project.

More About Using these Data
We have summarized these data at the census tract level and are evaluating their use, in combination with other data, to develop current estimates and projections to 2025.

Data 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.

American Community Survey 2018: Geography & Access

.. there are 519 core-Based Statistical Areas (metros & micros) included as American Community Survey (ACS) 2018 tabulation areas. 2018 demographic-economic estimates are included for these and many other types of political/statistical areas — the subject of this section. This is the first in a series of posts about accessing, integrating and using the ACS 2018 data. Learn more about effective ways to use these and related data. See the main web section for more detail and access to the interactive table. The release date for the ACS 2018 data is September 26, 2019.

ACS 2018 1-year Tabulation Areas: 519 Core-Based Statistical Areas
— MSAs and MISAs

– view developed using ProximityOne CV XE GIS and related GIS project.
– geospatial analyze ACS 2018 1 year estimates integrated with your data to examine patterns; gain insights.

The 2018 American Community Survey (ACS 2018 main) is a nationwide survey designed to provide annually updated demographic-economic data for national and sub-national geography. ACS provides a wide range of important data about people and housing for every community across the nation. The results are used by everyone from planners to retailers to homebuilders and issue stakeholders like you. ACS is a primary source of local data for most of the 40 topics it covers, such as income, education, occupation, language and housing.

Determining What Data are Tabulated
The graphics below illustrate 1) the scroll section that lists the types of tabulation areas (summary levels) and 2) use of the interactive table to display a selection of CBSAs/metros (summary level 310).

ACS 2018 1-Year Summary Levels
The scroll section (see in web page) shows the summary level code (left column), part or component if applicable and summary level name.

ACS 2018 1-Year Estimates — Areas Published — Interactive Table
The interactive table (click link to view actual interactive table) enables you to list the geographic areas tabulated. This graphic shows CBSAs (MSAs and MISAs) tabulated. GeoID1 shows the unique tabulation area geocode for an area among all areas. GeoID1 inlcudes the summary level (first 3 characters), followed by state FIPS code where applicable, ‘US’ and finally the geocode for the specific area.

Demographic-Economic 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.

Examining HMDA/CRA Census Tract Demographics

.. the ability to effectively analyze low, moderate, middle, and upper income population and households by small area geography is important to housing market stakeholders, lenders, investors, cities/neighborhoods and others. Low and moderate income data by block group and census tract are used for compliance, eligibility determination and program performance in many Federal programs and agencies. See the main Web page for more detail.

This section reviews the scope and use of the FFIEC 2019 HMDA/CRA census tract data (released September 2019). Use the interactive table to view, rank, compare selected items from these updated data for any/all tracts. Use GIS tools with these data to map and geospatially analyze these data as illustrated and further described as illustrated here. See more about banking, CRA and LMI tracts and more about these data.

Visual Analysis of Banks in Context Census Tract Demographics
Click graphic for larger view; expand browser window for best quality view.

– view developed using CV XE GIS and related GIS project.
– install this GIS tool and related GIS project on your computer to examines patterns, market share and more.

Low & Moderate Income Population by Census Tract
Low, moderate, middle, upper income classification by census tract is based on the median family income of a specific census tract relative to the metropolitan statistical area (MSA) or non-MSA area in which the tract is located. The FFIEC data include a “low and moderate income indicator”:
1 – Low — MFI is less than 50% of the MSA/parent area MFI
2 – Moderate — MFI is from 50% to 80% of the MSA/parent area MFI
3 – Middle — MFI is from 80% to 120% of the MSA/parent area MFI
4 – Upper — MFI is 120% or more of the MSA/parent area MFI
0 – NA — MFI is 0 or not available
where MFI is the Median Family Income

Low and moderate income designation is closely associated with implementation of the Home Mortgage Disclosure Act (HMDA) and the Community Reinvestment Act (CRA) and is a widely used in many other applications as a measure of economic prosperity.

Using the Interactive Table
Use the interactive table to examine individual tracts or sets of tracts as to their low and moderate income status and related demographics. The following view illustrates use of the table. Clicking buttons below table, this sequence of steps was used to obtain this view:
– click ShowAll
– click “Find CBSA; Low & Mod Tracts”
  >this selects tract in CBSA 26420 (Houston) that are low or mod
– click “Status Cols”
The table refreshes to show 470 tracts that are low/mod in this metro.
Finally, click the column header “Tract MFI %Region” to sort in descending order.

View your areas of interest. Start the steps over and use your CBSA code for a metro of interest.

Bankers Analytics Tools Web Sessions
Join me in a Bankers Analytic Tools Lab session (every Wednesday 3:00 pm ET) 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.
Topics:
• mapping and geospatially analyzing your data with FFIEC data
• tract demographic vintages and trends
• issues regarding MSA/MD vintage, change; about the 2018 vintage CBSAs
• defining and using assessment area geography
• examining the community & neighborhoods in context of assessment areas
• using the FDIC bank location/deposits data with FFIEC/ACS demographics
• using the FFIEC/ACS interactive table below
• alternative methods of accessing census tract ACS data

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.

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.