Tag Archives: REIS

Assessing Why and How the Regional Economy is Changing

.. data, tools and insights .. which counties are experiencing the fastest economic growth? by what economic component? what does this look like on a per capita level? how might county economic change impact you? Use our county level annual estimates and projections to 2030 to get answers to these and related questions. Get started with the interactive table that contains a selection of these data for all counties and states.

Visual Analysis of Per Capita Personal Income Patterns
The following map shows changing patterns of economic prosperity, U.S. by county, based on percent change in per capita personal income, 2010 to 2017. Create variations of this view — this view uses a layer in the “US1.GIS” GIS project installed by default with all versions of the CV XE GIS software.
– click graphic for larger view.
– view developed with CV XE GIS software.

Measuring the economy and change. One important part of this is Personal Income and components of change. Personal income is the income available to persons for consumption expenditures, taxes, interest payments, transfer payments to governments and the rest of the world, or for saving. Use the interactive table to examine characteristics of counties and regions of interest; how they rank and compare. The table provides access to 31 personal income related summary measures — the interactive table shows data for one of eight related subject matter groups. See more about the scope of subject matter descriptions.

Assessing How the Economy is Changing and How it Compares
The U.S. Per Capita Personal income (PCPI) increased from $40,545 in 2010 to $51,640 in 2017 — a change of $11,095 (27.4%). Compare the U.S. PCPI (or for any area) to a state or county of interest using the table. For example, Harris County, TX (Houston) .. click the Find GeoID button below the table .. increased from $45,783 in 2010 to $53,188 in 2017 — a change of $7,405 (16.2%).

Economic Profile; 2010-2017 & Change — An Example
The following graphic shows and example of the economic profile for Harris County, TX (Houston). Access a similar profile for any county or state.

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.

Census 2020 LUCA Program and You

.. what would be the financial impact of a one-percent understatement in the Census 2020 population count? Many political districts are drawn based upon population change and shifts, and allocations of government funding and services are made based upon official population data. Consider this one specific example. For each one-percent of the Atlanta MSA population missed in Census 2020, potentially due to less than fully accurate address and location data, the financial impact could be on the order of $414 million per year. How and why? At margin, each person not counted in the decennial census results in a per capita disposable income loss for the area in the magnitude of $5,494 in 2000, and $6,770 per person in 2020. 61,100 people undercounted times $6,770 yields $414 million.

This section is about the Censue 2020 Local Update of Census Addresses (LUCA) program and how it might impact the reduction in undercount .. and make the data more accurate for wide-ranging needs and uses. Read on for details about the LUCA program.

Atlanta-Sandy Springs-Roswell, GA MSA
The Atlanta metro shown with black bold boundary. More about this metro.

– View developed with CV XE GIS software.
– Click graphic to view patterns of neighborhood economic prosperity.

Financial Impact Details … the 2015 per capita current transfer payments (PCTP) in the Atlanta-Sandy Springs-Marietta MSA were $6,132, up from $5,494 in 2010. The PCTP figure in 2020 may be $6,770. For each one-percent of the Atlanta MSA population (61,100 people) missed in Census 2020, potentially due to less than fully accurate address and location data, the financial impact could be in the order of $414 million (61,100 x $6,770) per year as of Census 2020.  $414 million per year based on the 2020 population and PCTP.

Financial Impact in Your Areas of Interest
Estimate the financial impact in your areas of interest. Get the 2010 and 2015 population and PCTP data from the REIS Interactive Table for any county or state.  Compute the 2020 population and PCTP values, potential undercount to determine the financial impact on an area of interest

Census 2020 LUCA Overview
The Census 2020 LUCA program is an initiative of the Census Bureau, partnering with thousands of state and local governments across the U.S. At the core of this program, Census provides address list data to communities; those communities compare those data with their own data and provide address/geographic updates back to the Census Bureau.  The updated address and geographic data are integrated into the TIGER/Line files  — geographic backbone for collecting and tabulating the Census results. This important MAF/TIGER address-plus update program will help insure improved accuracy for Census 2020. LUCA is a geographic data development program engaging local communities across the U.S.

ProximityOne works with local areas to improve the TIGER/Line files leading up to Census 2020. Using the CV XE GIS software and specialized expertise, we helped hundreds of governmental units, including all of the State of Georgia, improve the coverage and content of the TIGER/Line files and thus the accuracy and completeness of Census 2010.

The Census 2020 LUCA program is starting now in 2016.  See the full schedule and related details in the LUCA Web section.

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: Annual Updates

.. which counties are experiencing the fastest economic growth? by what economic component? what does this look like on a per capita level?

.. access & analyze economic characteristics and patterns by county and state .. annual time series 1969 through 2015 with projections.  Personal income is the income available to persons for consumption expenditures, taxes, interest payments, transfer payments to governments and the rest of the world, or for saving. Use the interactive table to examine characteristics of counties and regions of interest. The table provides access to 31 personal income related summary measures. These data are a selection of a broader set of annual time series data from the Regional Economic Information System (REIS). REIS is a part of the ProximityOne State & Regional Income & Product Accounts (SRIPA) and Situation & Outlook (S&O) featuring current (2016) estimates and demographic-economic projections. Go to table.

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.

Per Capita Personal Income Change 2008-2014 by County
.. relative to U.S 2008-2014 change

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

Interactive Analysis – County or State Profiles
The following graphic illustrate use of the interactive table to view an economic profile for Harris County, TX. Use the table to examine characteristics of any county or state. Click graphic for larger view.

Interactive Analysis
– comparing per capita personal income across counties
The next graphics illustrates use of the interactive table to rank/compare per capita personal income across counties. Rank/compare states. Choose any of the economic profile items. 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.

Real Gross Domestic Product by State & Area

… tools to access and analyze GDP patterns and trends … Gross Domestic Product (GDP) is a comprehensive measure of U.S. economic activity. This section provides access to annual GDP estimates for the period 2010 through 2015 and tools to analyze these data. The 2015 data are the latest estimates as of June 2016 (about these data). This section provides data and tools focused on the U.S. and states. In September 2016, this section updates to include the new 2015 estimates of metropolitan area GDP and revised historical updates. Follow this blog to receive updates. See the related Web section for more details about topics covered in this post.

Patterns of Per Capita Real GDP & Percent Change by State
The following graphic shows patterns of the 2015 per capita real GDP by state. The color patterns/intervals are shown in the inset legend. In the larger view (click graphic), states are labeled with 2015 per capita real GDP (white label) and percent change in per capita real GDP, 2010-2015. Click graphic for larger view. Expand browser to full window for best quality view. The larger view shows a mini-profile for Texas. Use the GIS tools described below to develop thematic pattern map using any combination of these items from 2000 forward.

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

Importance
GDP is an important part of planning, management and decision-making in the private and public sectors. It is watched closely by all stakeholders as to how the economy is trending. By adjusting current dollar GDP to constant dollar GDP, we can better examine the trends and patterns by removing inflation from the measures. By examining GDP at the metro and sub-state area, businesses and policy-makers can better determine GDP patterns on a regional basis. Regional analysis of GDP is very important as magnitude and change vary widely. By examining the size and trends of regional real GDP on a per capita basis, we are better able to examine patterns and trends at the individual level.

Modeling, Projections & Access/Analysis/Interpretive Tools
GDP is an important part of the ProximityOne Regional Demographic-Economic Modeling System (RDEMS). The RDEMS model specifies cause and effect relationships with GDP and GDP components and other data to develop current estimates and projections.

Use these tools to access/analyze GDP characteristics and patterns:
• interactive table – access in related Web section
• analyzing patterns using GIS resources – see details in related Web ection
• RDEMS database access
.. illustrative example of GDP patterns in context with other measures
.. Texas briefing notes (see notes “Texas per capita real GDP” on that page)
.. Access briefing notes for any state

Interactive Table
Use the interactive table below to examine per capita real GDP by state in context of other states and the U.S. This table expands to include metros in September 2016. The content of the table also expands to include GDP sectors and components

Per Capita Real Gross Domestic Product by State & Area
— 2000-2015
— interactive table
The following graphic shows states ranked on percent change in per capita real GDP. Click graphic for larger view. Use the interactive table to view rankings of interest. Export the data for further analysis.

Analyzing GDP using GIS Resources
— requires Windows computer with Internet connection
1. Install the ProximityOne CV XE GIS
… run the CV XE GIS installer
… take all defaults during installation
2. Download the GDP GIS project fileset
… requires ProximityOne User Group ID (join now)
… unzip GDP GIS project files to local folder c:\gdp
3. Open the c:\gdp\us1gdp.gis project
… after completing the above steps, click File>Open>Dialog
… open the file named c:\gdp\us1gdp.gis
4. Done. The start-up view is shown at top of this section.

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.