Monthly Archives: November 2022

Population Living Alone & Age 65 Years and Over

.. how many people are living alone in your community, neighborhood? How does this population impact the community? What are their special needs? How does this population vary by area and population group? There were 37.9 million one-person households, 29% of all U.S. households in 2022. In 1960, single-person households represented only 13% of all households. These estimates are based on the 2022 Current Population Survey (CPS). Moving forward, the number of one-person households, people living alone, will increase at the rate of one million or more per year. People in households exclude people living in group quarters. This post examines patterns of people living alone with focus on people living alone age 65 year and over and distribution by small area geography.

While the CPS data provide a current snapshot of the number of people living alone, we have to use data from the American Community Survey to obtain data for smaller area geography like counties and census tracts.

Population Living Alone by Census Tract –Visual Data Analytics
The four graphics below show patterns of the population living alone by census tract. These views have been developed using the Visual Data Analytics (VDA GIS) tools with integrated demographics. Develop variations on these views using the VDA Web GIS using only a web browser.

Patterns of Population Living Alone by Tract

.. click graphic for larger view.

Patterns of Population 65 and Over Living Alone by Tract

.. click graphic for larger view.

Patterns of Population Living Alone by Tract — Houston Metro Area

Patterns of Population 65 and Over Living Alone by Tract — Houston Metro Area

Examine the Data in More Detail
As noted in this related New York Times story, nearly 26 million Americans 50 or older now live alone, up from 15 million in 2000. Older people have always been more likely than others to live by themselves makes up a bigger share of the population than at any time in the nation’s history. The trend has also been driven by deep changes in attitudes surrounding gender and marriage. People 50-plus today are more likely than earlier generations to be divorced, separated or never married. Similar ACS data as used to develop the graphics shown above are available by race/origin. These data are based on the ACS 2020 data; the same scope of data will be available from ACS 2021 to be released in December 2022.

About VDA GIS
VDA Web GIS is a decision-making information resource designed to help stakeholders create and apply insight. Use VDA Web GIS with only a Web browser; nothing to install; GIS experience not required. VDA Web GIS has been developed and is maintained by Warren Glimpse, ProximityOne (Alexandria, VA) and Takashi Hamilton, Tsukasa Consulting (Osaka, Japan).

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and 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. Join Warren on LinkedIn.

Personal Economic Well-Being

.. examining characteristics, patterns and change in personal economic well-being; learning about what per capita personal income by county tells us. Per capita personal income (PCPI) is the best single measure of personal economic well-being. PCPI differs American Community Survey (ACS) measure of per capita income, median household income and similar income measures as PCPI includes non-monetary income .. PCPI provides a more comprehensive measure. This post provides an update focused on new data released November 2022, county level personal income time series data starting in 1969.

Patterns of 2021 Per Capita Personal Income by County

.. click graphic for larger view
.. use VDA Web GIS for Web-based interactive viewing/analytics.
.. see this more detailed analytical framework for analytics using VDA Desktop.

Importance of these Data
How is the regional economy doing? How is it trending? What policies might be changed to improve personal economic well-being? Answers to these and similar questions are why knowing about personal income and its derivation, components is important — to residents, businesses and governments. While median household income is often considered the best measure of buying power for an area, it is not the best measure of personal or household economic well-being. PCPI and the Regional Economic Information System provides insights and answers to these questions.

U.S. Change in PCPI
In U.S. metropolitan areas, PCPI increased 7.3 percent in 2021, up from 6.0 percent in 2020. In U.S. nonmetropolitan areas, PCPI increased 7.5 percent, down from 7.9 percent.

Regional Economic Information System
PCPI is a small part of the broader Regional Economic Information System (REIS). The following links show examples of detailed tables for Harris County, TX comparing 2019 and 2021 developed using the ProximityOne REIS package. Develop these profiles for any county for your selected year 1970 through 2021.
  • Personal Income by Major Source
  • Earnings by Source & Sector
  • Employment by Type & Sector
  • Transfer Payments
  • Economic Profile
  • Farm Income & Expenditures

About VDA GIS
VDA Web GIS is a decision-making information resource designed to help stakeholders create and apply insight. Use VDA Web GIS with only a Web browser; nothing to install; GIS experience not required. VDA Web GIS has been developed and is maintained by Warren Glimpse, ProximityOne (Alexandria, VA) and Takashi Hamilton, Tsukasa Consulting (Osaka, Japan).

About the Author
Warren Glimpse is former senior Census Bureau statistician responsible for national scope statistical programs and 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. Join Warren on LinkedIn.