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.

Personal Consumption Expenditures by State: Updates & Pattern Analysis

.. data and tools to develop insights into personal consumption patterns by state .. growth in state personal consumption expenditures (PCE) – the measure of goods and services purchased by or on behalf of households – decelerated to 3.6 percent on average in 2015 from 4.4 percent in 2014. In 2015, PCE growth ranged from 1.5 percent in Wyoming to 5.0 percent in Florida. PCE by state data for 16 expenditure categories are shown for the U.S. and by state in the interactive table. See related Web section for more detail.

Per Capita Personal Consumption Expenditures
  — Patterns & Characteristics by State

The following graphic shows patterns of percent change in total PCE 2010-2015 by state labeled with 2015 per capita total PCE. Use CVGIS project to examine PCE by types and different years. Integrate additional subject matter and types of geography. Click graphic for larger view with details.

– views developed with CVGIS and related GIS project & datasets.

In 2015, the fastest growing categories of expenditures across all states were food services and accommodations, health care and other nondurable goods. These categories along with housing and utilities were also the largest contributors to growth in total PCE by state.

Per capita PCE by state measures average PCE spending per person in a state. Across all states, per capita total PCE was $38,196. Per capita PCE by state ranged from a high of $49,717 in Massachusetts to a low of $29,330 in Mississippi.

Personal Consumption Expenditure by Category
PCE by state is the state counterpart of the Nation’s personal consumption expenditures (PCE). PCE by state measures the goods and services purchased by or on behalf of households and the net expenditures of nonprofit institutions serving households (NPISHs) by state of residence for all states and DC. PCE by state reflects spending on activities that are attributable to the residents of a state, even when those activities take place outside of the state. Per capita PCE by state measures average PCE spending per person in a state.

Interactive Analysis
The following two graphics illustrate use of the interactive PCE table. View 1 shows Texas by PCE type ranked in ascending order on percent change from 2010 to 2015 (ranked on far right column). View 2 shows Texas by PCE type ranked in descending order on percent change from 2010 to 2015 (ranked on far right column). Use the table to examine characteristics of states of interest. Click graphic for larger view.

Texas by PCE Type; Ranked Ascending on PCPCE Change 2010-15

Texas by PCE Type; Ranked Descending on PCPCE Change 2010-15

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 Gross Domestic Product: Trends & Updates

… data and analytical tools to examine Metro GDP patterns and trends.  As a policy-maker, investor, business, advisor or stakeholder, it is important to know how and where the metro economy is changing … and how one or selected metros relate to the U.S. and other metros. Is metro X changing in a different direction than metro Y? By how much, why and is there a pattern? What does the healthcare sector, for example, contribute to a metro’s gross domestic product (GDP)? How does it compare to peer metros? How is the healthcare industry trending? Metro GDP data can provide insights and answers to these important questions. Developing insights using metro GDP data — an example. See related Web section for more detail.

Change in Per Capita Real GDP by Metro, 2010-2015
The following graphic shows patterns of change in per capita real GDP by metro from 2010 to 2015. The orange and red fill patterns show metros experiencing a decrease in per capita real GDP over the period. Click graphic for larger view that shows the 2015 rank of the metro among all 382 MSAs based on 2015 per capita real GDP.

— view created using CV XE GIS and associated MetroGDP GIS Project

282 metropolitan statistical areas, of the total 382, experienced an increase in real Gross Domestic Product (GDP) between 2010 and 2015. Growth was led by growth in professional and business services; wholesale and retail trade; and finance, insurance, real estate, rental and leasing, Collectively, real GDP for U. S. metropolitan areas increased 2.5 percent in 2015 after increasing 2.3 percent in 2014. Use the interactive table and GIS project/datasets described in this section to view/analyze patterns and characteristics in metros of interest.

Illustrative GDP by Sector Trend Profiles
Real GDP by sector profiles are available for the U.S. and each state and MSA. The Metro GDP data are part of the State & Regional Income & Product Accounts (SRIPA). The following profiles illustrate these data for metros, states and the U.S.

Atlanta, GA MSA
Charlotte, NC-SC MSA
Chicago, IL MSA
Columbia, MO MSA
Houston, TX MSA
Phoenix, AZ MSA
United States
Missouri
Texas

Metro Situation & Outlook Reports
View Metro GDP Characteristics section in the Metropolitan Area Situation & Outlook Reports, providing the same scope of data as in the table below integrated with other data. See example for the Dallas, TX MSA. GDP tells an important but small part of the broader metro demographic-economic characteristics. Most metros have sub-county areas experiencing growth or activity sometimes masked when looking at the entire metro. Click a metro (metro GDP estimated for MSAs only) link in the table at upper right to view the GDP estimate in context of related subject matter.

Interactive Analysis
The following graphic shows an illustrative view of the interactive MetroGDP table. This view shows California MSAs ranked in descending order on percent change in per capita real GDP from 2010 to 2015 (ranked on far right column). Use the table to examine characteristics of metros in regions 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.

Monthly Local Area Employment Situation; 2015-2016

.. this update on the monthly and over-the-year (August 2015-August 2016) change in the local area employment situation shows general improvement. Yet many areas continue to face challenges due to both oil prices, the energy situation and other factors.  This section provides access to interactive data and GIS/mapping tools that enable viewing and analysis of the monthly labor market characteristics and trends by county and metro for the U.S. See the related Web section for more detail. The civilian labor force, employment, unemployment and unemployment rate are estimated monthly with only a two month lag between the reference date and the data access date (e.g., August 2016 data are available in October 2016).

Unemployment Rate by County – August 2016
The following graphic shows the unemployment rate for each county.

— view created using CV XE GIS and associated LAES GIS Project
— click graphic for larger showing legend details.

As shown in the illustrative interactive table view below, seven of the ten MSAs having the highest August 2016 unemployment rate were in California. Use the table to examine characteristics of counties and metros in regions of interest. As apparent from the monthly patterns shown in the table, some areas are impacted by season factors, but others are not.

View Labor Market Characteristics section in the Metropolitan Area Situation & Outlook Reports, providing the same scope of data as in the table below integrated with other data. See example for the Dallas, TX MSA.

The LAES data and this section are updated monthly. The LAES data, and their their extension, are part of the ProximityOne Situation & Outlook database and information system. ProximityOne extends the LAES data in several ways including monthly update projections of the employment situation one year ahead.

Interactive Analysis
The following graphic shows an illustrative view of the interactive LAES table. Seven of the ten MSAs having the highest August 2016 unemployment rate were in California (ranked on far right column in descending order). Use the table to examine characteristics of counties and metros in regions 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.

Examining Diversity by State 2015

.. states with the highest race/origin diversity in 2015 were Hawaii, California and New Mexico. States with the lowest diversity were West Virginia, Maine and Vermont. Higher levels of diversity tend to provide a better framework for understanding, tolerance and cooperative developments and progress. Use the interactive table to view, rank, compare states on the diversity index, percent population by race/origin and population by race/origin.

What is the chance that the next person I meet will be different from me, in terms of race origin? The Diversity Index is a number on a scale from 0 to 100 that shows the chance that two people chosen randomly from an area will be different by race and origin. A higher number means more diversity, a lower number, less diversity.

2015 Diversity Patterns by State
The following graphic shows patterns of the percent non-White population (see legend in lower right) the 2015 diversity index as a label for each state

– view developed using CVGIS and related project.
– use the software and project to create variations of this view; add your own data.

See the related section on diversity. USA TODAY used ProximityOne population projections to 2060 by county to examine diversity trends between 2010 and 2060 – a 50-year trend analysis.

This section provides a new estimate of the 2015 diversity index for the U.S. by state based on the latest data. The 2015 population by race/origin estimates are the most recent official Federal U.S. by state data (updated annually). See more about these estimates; access individual state profiles. In addition, the computational methodology is summarized. The U.S. by state demographics dataset is provided as a part of the U.S. State Diversity GIS project. Analyze alternative computations and views of the diversity index.

Examining the 2015 Diversity Index & Race/Origin by State
Some illustrative examples of the interactive table to view … click the Diversity Index column header cell in the table to sort states in ascending order on the Diversity Index. Click that column header cell again to sort states/rows in descending order on the Diversity Index. Find state(s) of interest; see what peer group those states are in based on demographic measures of interest.

Double-click the %Hispanic column header cell in the table to see that New Mexico has the highest %Hispanic population. Click the “population columns only” button below the table, navigate to far right and double-click the Hispanic column header cell to see that California has the largest Hispanic population.

Interactive Table Example
The following graphic illustrates use of the interactive table. States are ranked in descend order on the 2015 Diversity Index.

– 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.

Mapping Census Tract Demographics

.. using visual data analytics and developing business intelligence .. this section provides a 4-step procedure to develop thematic pattern and reference maps for census tracts. The focus of this section is on mapping Census 2010 census tracts using data from the 2014 American Community Survey (ACS2014). A similar set of steps could be followed for Census 2000 tracts with Census 2000 data or Census 2010 tracts with Census 2010 demographics or different vintage ACS data. Steps summarized here can be used with most any Windows-based computer having Internet access. See the related full Web section with more details.

• how do customers and sales relate to market area characteristics?
• is their a better configuration of locations or service areas?
• how can you more effectively examine customer and sales patterns?
• what and where are areas of missed opportunities?

See related sections:
Using GIS & Data Analytics
Mapping Statistical Data

Benefits of this section include providing help for those:
• having a specific interest in mapping census tract demographics.
• with little or no experience in using GIS.
• getting started with CVGIS.

These resources and instructions provide a real, not demo, valuable tool that anyone can use, without fee, to create county by census tract thematic pattern maps. Use any of the “richer” demographic-economic data (not just median household income) from the latest ACS 5-year data (see scope — table shells xls).

The steps described below can be performed with any version of CVGIS, including the no fee version. Start from scratch and develop thematic pattern maps like that shown below. Questions, need help? See the FAQs. Call with questions – 888.364.7656. Or, use this form and put questions in the text section.

While this application is focused on ACS 2014 median household income for Dallas County, TX census tracts, you can follow these steps for other areas and subject matter. In your own applications, choose any ACS subject matter for any county/area of interest. The following view shows the end result of steps described below. Choose your own county of state; choose your own subject matter; select your own colors and labeling; choose your own zoom view; and more. Dallas Metro Situation & Outlook.

Patterns of Economic Prosperity; Dallas County, TX by Tract

Mapping Census Tracts Demographics Steps
These steps should take an inexperienced user 10-15 minutes to develop a new CVGIS project view. Steps can be performed at separate times.
Click on a link to view step-by-step instructions.
1. Install CVGIS
2. Get census tract shapefile
3. Get census tract subject matter data (median household income or other)
4. Create map view(s)

Create your own maps for your own county/tracts for your own subject matter.

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.