Tag Archives: personal income

State of the States: Demographic Economic Update

.. tools and resources to examine the demographic-economic state of the states .. in 2016, the U.S. median housing value was $205,000 while states ranged from $113,900 (Mississippi) to $592,000 (Hawaii). See item/column H089 in the interactive table to view, rank, compare, analyze state based on this measure … in context of related housing characteristics. These data uniquely provide insights into many of the most important housing characteristics.

Use new tools, data and methods to access, integrate and analyze demographic-economic conditions for the U.S. and states. These data will update in September 2018.

Approximately 600 subject matter items from the American Community Survey ACS 2016 database (released September 2017) are included in these four pages/tables:
• General Demographics
• Social Characteristics
• Economic Characteristics
• Housing Characteristics

GIS, Data Integration & Visual Data Analysis
Use data extracted from these tables in a ready-to-use GIS project. These ACS sourced data (from the four tables listed above) have been integrated with population estimates trend data, components of change and personal income quarterly trend data. See details in this section.

Examining Characteristics & Trends
Below are four thematic pattern maps extracted from the main sections listed above. Click a map graphic for a larger view. Use the GIS project to create variations of these views.

Patterns of Median Age by State
Yellow label shows the state USPS abbreviation; white label shows median age. Legend shows color patterns associated with percent population change 2010-2016.

– View developed using CV XE GIS software and associated GIS project.
– See item/column D017 in the interactive table to view, rank, compare, analyze state based on median age.

Patterns of Educational Attainment by State
Yellow label shows the state USPS abbreviation; white label shows % college graduates. Legend shows color patterns associated with percent population change 2010-2016.

– View developed using CV XE GIS software and associated GIS project.
– See item/column S067 in the interactive table to view, rank, compare, analyze state based on percent college graduates.

Patterns of Economic Prosperity by State
Yellow label shows the state USPS abbreviation; white label shows $MHI. Legend shows color patterns associated with percent population change 2010-2016.

– View developed using CV XE GIS software and associated GIS project.
– See item/column E062 in the interactive table to view, rank, compare, analyze state based on median household income.

Patterns of Median Housing Value by State
Yellow label shows the state USPS abbreviation; white label shows $MHV. Legend shows color patterns associated with percent population change 2010-2016.

– View developed using CV XE GIS software and associated GIS project.
– See item/column H089 in the interactive table to view, rank, compare, analyze state based on median housing value.

Examining Characteristics & Trends; Using Data Analytics
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.

Metro by Metro: What $100 Buys

.. data and tools to examine the purchasing power of the incomes in different metros and states … this section reviews how you can access to data on what $100 buys by state and metro. Examine patterns of what $100 buys by year, 2008-2014, for all items and by type of goods & services category. Use the interactive table to view, rank, compare the Buying Power Index for each/all states and metros (MSAs). See the main Web page for more details.

What $100 Buys by Metro: 2014
The following graphic shows patterns of 2014 all items buying power of $100 by metro (MSAs). The color patterns/intervals are shown in the inset legend. Click graphic for larger view. Expand browser to full window for best quality view. Use GIS tools to develop thematic pattern maps for a range of data and criteria.

.. view developed using the CV XE GIS software.
.. click map for larger view and details.

Varying prices by region can be normalized using Regional Price Parities (RPP). The RPP is a weighted average of the price level of goods and services for the average consumer in one geographic region compared to all other regions in the U.S. See more about RPP measures. Using the RPP data, what $100 will buy can be determined by state and metro for the categories of all goods and services, goods, services-rents and other services. See about RPP goods and services types.

In the Boston metro, $100 buys about 90.7 percent of all items goods and services due to the high prices there. $100 in Boston seems more like $90.70 compared to the national average. In the Jefferson City, MO metro, the opposite is true. $100 buys all items goods and services due to lower prices in that metro. $100 in the Jefferson City, MO metro is the equivalent of $121.65 of all items goods and services compared to the national price levels.
• the Boston metro all items buying power index is 90.70
• the Jefferson City, MO metro all items buying power index is 121.65

Interactive Table – Top 10 Metros
The following graphic illustrates use of the Buying Power Index interactive table. This graphic shows the 10 metros that have the all items highest Buying Power Index. Use the interactive table to view/examine areas of interest.

– click graphic for larger view.

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.

Regional Economic Information System; 2015 Annual Update

.. examining patterns of economic well-being among counties and regions … per capita personal income (PCPI) is the most comprehensive measure of individual economic well-being. PCPI estimates are developed/updated annually for counties, metros, states and the U.S. PCPI estimates, available as an annual time series 1969 through 2014, are developed as a part of the Regional Economic Information System (REIS). This section provides information on accessing and using the REIS data. See related Web section for more detail and data access tools.

Visual Analysis of Per Capita Personal Income Patterns
The following map shows the Houston metro (view profile) with bold brown boundary. Counties are labeled with county name and 2014 per capita personal income.

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

• See similar view of the San Francisco Metro/Area by County
• See this section to learn about making custom metro maps.

Important Features of the REIS Data
A distinguishing characteristic of the REIS data is that they are a set of multi-sourced data organized and used to estimate personal income. Personal income, unlike money income, is income received by all persons from all sources. A second characteristic is, unlike the American Community Survey (ACS), the REIS data are not based on a sample survey but rather employer-based data and other administrative data. Third, the lengthy annual time series lends itself to use in modeling and trend analysis based on a set of consistently defined subject matter.

Accessing & Using REIS Data
Resources to analyze regional economic patterns and characteristics:
1. Use the interactive table to examine characteristics of counties, metros and states. View/rank/compare per capita personal income over time.
2. Use the metro demographic-economic profiles. Examine REIS-based personal income components in context with other subject matter. Select/view any metro via interactive table.
3. Use the REIS datasets made available as a part of the ProximityOne Data Services Program (PDS).
4. Create thematic pattern maps & perform geospatial analysis of REIS data in ready-to-use GIS projects.
5. Use ProximityOne modeling tools to forecast personal income components; assess impact of change on your interests.

More About Using GIS Resources & Pattern Analysis
The following graphics illustrate use of the REIS GIS Project (details in Web section). These views show the change in per capita personal income during the period 2008 to 2014. The underlying datasets provide annual data in most cases from 1969 through 2014. Analyze patterns for only one/any selected/ year, change or percent change over time (an average of years or selected point in time). Zoom into regions of interest, set alternative pattern views, flexibly use labels, add data from other sources.

Per Capita Personal Income Change 2008-2014 by State

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

Per Capita Personal Income Change 2008-2014 by Metro

Click graphic for larger view. View developed with CV XE GIS software.
See this section to learn about making custom metro maps.

Per Capita Personal Income Change 2008-2014 by County

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

Per Capita Personal Income: County, Metro, State Interactive Table
  — top-ranked counties based on 2014 PCPI
Use of the interactive table is illustrated in the graphic below. The GeoType feature is used to select only counties. The table is then sorted in descending order on 2014 $PCPI.

Use the main Web section 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.

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.

Regional Economic Information System Update

.. per capita personal income (PCPI) is the most comprehensive measure of individual economic well-being. The PCPI has been updated with new estimates for all counties and metros. Among all metros for which the PCPI was estimated, the Atlanta metro was ranked number 154 in 2008 and 269 in 2013. The PCPI changed from $39,889 in 2008 to $41,307 in 2013, a change of $1,418 (3.55%). How might changing economic conditions impact you? How can you use personal income estimates and related measures to assess the impact of regional economic change? This section reviews how you can access and use these data for any county or metro. See the Web version of this section with interactive table.

Update: The Regional Economic Information System (REIS) updates on November 19, 2015 with new estimates for 2014, extending the time series.

Visual Analysis of PCPI Patterns
The following map shows the Atlanta metro (view profile) with bold brown boundary. Counties are labeled with county name and 2013 per capita personal income.

Click graphic for larger view. View developed with CV XE GIS software.
See this section to learn about making custom metro maps.

PCPI estimates, available as an annual time series 1969 through 2013, are developed as a part of the Regional Economic Information System (REIS). A distinguishing characteristic of the REIS data is that they are a set of multi-sourced data organized and used to estimate personal income. Personal income, unlike money income, is income received by all persons from all sources. See additional information about these data. A second characteristic is, unlike the American Community Survey (ACS), the REIS are not based mainly on a sample survey but rather employer reported data. Third, the lengthy annual time series lends itself to use in modeling and trend analysis based on a set of consistently defined subject matter.

Per Capita Personal Income Change by County: 2008-2013 Change

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

Counties with Highest PCPI
The following graphic shows counties with the largest 2013 PCPI.

Use the interactive table to rank counties on other measures or rank within a state.

View Individual Metro Profile
Use this interactive table to select a metro and view the metro profile. The following graphic illustrates clicking the link shown in column 2 to display the metro profile for the Dallas metro.

Equivalently, click this link to view the Dallas metro profile.

Data Analytics Lab Session
Join me in a Data Analytics Lab session where we review accessing, integrating and using the REIS data with other data. There is no fee. Discuss how tools and methods reviewed in this section can be applied to your situation.

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.