Category Archives: decision-making information solutions

Climate Change & the Demographic-Economic Outlook

.. it is startling that many do not accept the reality that climate change is upon us. Climate change is, right now, affecting the demographic-economic outlook … how things will change in the next fifty years and how this change might impact each of us. A challenge is to determine how to best integrate the right set of data, variables, into our cause and effect predictive models. By doing so, we improve the quality and accuracy of projections. We can better examine what-if scenarios. Business decision-making and policy-making implications are enormous.

BlackRock, the world’s largest asset manager, has recently taken the position that climate change has become a defining factor in companies’ long-term prospects.

Climate Risk Is Investment Risk
Investment strategies mean exiting/avoiding some investments that present a high sustainability-related risk, such as coal producers and new/expanded investment products that screen fossil fuels. Many others.

The impact of these types of investment risks are already appearing. While the stock market continues an unprecedented rally, energy sector companies are not performing as well. This impacts the metros/areas where they operate affecting the economic base and impacting the population/housing growth and composition.

Climate Risk Affects Personal/Family Decision-Making
As Larry Fink/Blackrock notes, what will happen to the 30-year mortgage – a key building block of finance – if lenders can’t estimate the impact of climate risk over such a long timeline? What if there is no viable market for flood or fire insurance in impacted areas? Happening now. What happens to inflation, and in turn interest rates, if the cost of food climbs from drought and flooding? Risks to human health and and migration due to climate change are already being experienced.

The Situation & Outlook — Improving Model Specification
This is our challenge — modeling economic change where emerging markets see their productivity impacted due to extreme heat and other climate impacts .. modeling migration of people and businesses being impacted by climate change .. modeling the housing infrastructure being implemented by climate change .. determining how and where climate change might impact personal income and GDP by county. In many cases, because of the way and what data are collected, it is difficult to sort out what part of migration, business change and other key measures are due in what part to climate change.

Quantification of climate change, and new model-based cause and effect specifications, will be reflected in the 2020 ProximityOne Situation & Outlook demographic-economic projections to 2060. For the first time, and on a continuing basis, we and our clients will be able to examine the quantified impact of climate change down to the county level of geography. This is now a topic included in the weekly Situation & Outlook web sessions.

Situation & Outlook Weekly Web Sessions
Join me in a Situation & Outlook web session to discuss more details about demographic-economic estimates and projections.

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.

U.S. & World Population, 2020

.. changing demographics .. the U.S. population stands 330,222,422 on January 1, 2020 .. an increase of 1,991,085, 0.61%, from a year ago. The April 1, 2010 Census population was 308,758,105.


 
In January 2020, the United States experiences one birth every eight seconds and one death every 11 seconds.

.. the net international migration adds one person to the U.S. population every 34 seconds. The combination of births, deaths and net international migration will increase the U.S. population by one person every 19 seconds.

The projected world population on January 1, 2020, is 7,621,018,958, an increase of 77,684,873, or 1.03%, from a year earlier. During January 2020, 4.3 births and 1.9 deaths are expected worldwide every second.

Kickoff of Census-Sourced Vintage 2019 Population Estimates Program
Starting in December of each year, the Census Bureau develops official population estimates for July of that year. In 2020, the Bureau will progressively release population estimates with greater subject matter detail for more detailed subnational geography. These model-based estimates will be completed in June 2020 for incorporated places.

The July 2019 estimates for the U.S. and states were just released in December 2019. These estimates reflect that the natural Increase dropped below 1 million for the first time in decades due to fewer births and more deaths.

The July 1, 2019, U.S. population estimate is 328,239,523, growing by 0.5% between 2018 and 2019, or 1,552,022 people. Annual growth peaked at 0.73% this decade in the period between 2014 and 2015. The growth between 2018 and 2019 is a continuation of a multiyear slowdown since that period. More detail on U.S. and state trends will be reviewed in a subsequent post.

Population Projections & Subnational Demographics
ProximityOne uses these Census-sourced historical annal data to develop current estimates and projections to 2060. See about projections and more geographic detail in the Demographics 2060 section.

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 How Metro GDP is Changing

.. which metros had the largest 2018 real GDP? How did they change since 2010? How to they compare on a per capita basis? What about metros of interest to you? Read on …

As an investor, business or stakeholder in a metro, it is important to know how and where the 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.  See related main Web page.

In 2018, per capita real gross domestic product (GDP) in MSAs ranged from $19,299 (The Villages, FL MSA) to $196,277 (Midland, TX MSA). The percent change in per capita real GDP by metro, 2010 to 2018 ranged from -24% (New Orleans-Metairie, LA MSA) to 126.6% (Midland, TX MSA). Use the interactive table to view these and related data.

Change in Per Capita Real GDP by Metro; 2010-2018
The following graphic shows patterns of change in per capita real GDP by metro (MSA) from 2010 to 2018. Label shows 2018 rank of the metro among all 384 MSAs based on 2018 per capita real GDP. Click graphic for larger view. Expand browser to full window for best quality view.

— view created using ProximityOne CV XE GIS and associated GIS project

Top 25 Metros (MSAs) based on 2018 per capita real GDP
The following graphic shows the top 25 metros (MSAs) based on 2018 per capita real GDP labeled with rank. Click graphic for larger view. Expand browser to full window for best quality view.

— view created using ProximityOne CV XE GIS and associated GIS project
 
Using the Interactive Table – 10 largest metros based on 2018 real GDP
— insights into comparative analytics and trends.
— view, rank, compare districts based on your criteria.
— example, which metros have the largest 2018 real GDP?
Use the interactive table to examine GDP characteristics and trends of metros. The following view illustrates use of the table. This view shows use a query to show the ten metros ranked on 2018 real GDP. Click graphic for larger view.

Try using the interactive table to examine metros of interest.

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.

116th Congressional Districts & Patterns of Economic Prosperity

.. Congressional District Analysis and Insights .. tools to examine patterns of median household income .. median household income is one measure of economic prosperity. This section reviews patterns of median household income (MHI) by 116th Congressional Districts based on the 2018 American Community Survey 1-year estimates (ACS 2018). View, rank, compare the MHI by congressional district, among related demographic attributes using the interactive table on the main Congressional Districts page.

116th Congressional District Analysis & Insights
.. patterns of household income & economic prosperity:
Based on the ACS 2018 median household income (MHI):
• the MHI among all districts was $60,291
• the U.S. overall MHI was $61,937
As of November 2019:
• the 19 districts with highest MHI have Democrat incumbents
• the 10 districts with the highest Gini Index have Democrat incumbents
• there are 69 Republican incumbent districts above the all districts MHI
• there are 149 Democrat incumbent districts above the all districts MHI
• the MHI of the 236 Democrat incumbent districts is $66,829
• the MHI of the 199 Republican incumbent districts is $56,505
Median household income is only one measure of economic prosperity.
See more at http://proximityone.com/cd.htm.

Patterns of Economic Prosperity 116th Congressional District
The following graphic shows patterns of 2018 median household income by 116th Congressional District. Use GIS tools/data to generate similar views for any state and/or drill-down. Click graphic for larger view with more detail. Expand browser window for best quality view.

– view developed using ProximityOne CV XE GIS and related GIS project.

Using the Interactive Table
— view, rank, compare districts based on your criteria.
— example,which districts have the highest median household income?
Use the interactive table to examine incumbency and and demographic characteristics of the 116th Congressional Districts (CDs). The following view illustrates use of the table. This view shows use a query to show the ten CDs having highest 2018 median household income.

Try using the interactive table to existing districts and categories of interest.

Congressional District/State Legislative District Group
Join in .. be a part of the Congressional Districts/State Legislative District (CDSLD) group. Access analytical tools and data. Learn about CDSLD analytics, patterns and trends. Share insights with like-minded stakeholders.

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.

Personal Consumption Expenditures by Type & State

.. using Personal Consumption Expenditures (PCE) measures to monitor/examine the strength of a regional economy and consumer buying trends in that region and compare among regions … PCE estimates released in October 2019, show that state personal consumption expenditures increased 5.1 percent in 2018, an acceleration from the 4.4 percent increase in 2017. The percent change in PCE across all states ranged from 7.3 percent in Utah to 3.6 percent in West Virginia.

In 2018, across all states and D.C., per capita PCE was $42,757. Per capita PCE by state ranged from a high of $55,095 (MA) to a low of $31,083 (MS). Per capita PCE in D.C. $63,151. Use the interactive table to example per capita and total PCE by state for 24 categories annually 2010 to 2018.

Per Capita Personal Consumption Expenditures by Category; U.S. 2018
— how does your situation and areas of interest compare to U.S. overall?
— view, sort, query by state and year in the interactive table

Goods and services purchased by people are personal consumption expenditures (PCE). These data provide insights into the strength of a state economy and consumer buying trends. As a major component of GDP, PCE growth has recently accounted for much of the GDP growth. The data reviewed in this section are developed by the Bureau of Economic Analysis (BEA, released each October). ProximityOne develops regional PCE estimates by metro and county. More about PCE.

See related sections:
• State Real Median Household Income
• State Annual Gross Domestic Product by Industry

Per Capita Consumption Expenditures by State, 2018
The following graphic shows patterns of 2018 per capita personal income expenditures (PCE). Intervals show distribution in quintiles, equal number of states per interval. The 2018 U.S. per capita PCE was $42,757. Use CV XE GIS project to examine PCE by types, per cpaita vs total, different years and change. Integrate additional subject matter and types of geography. Click graphic for larger view with details. Expand browser window for bets quality view.

– view developed with ProximityOne CV XE GIS and related GIS project & datasets.

Using the Interactive Table
— which areas have the highest health care expenditures?
Use the interactive table to examine personal consumption expenditures by type and state annually for the period 2010-2018. The following view illustrates use of the table. This view shows use a query to examine only health care expenditures. The table was then sorted in descending order to show the areas with the highest per capita health care expenditures in 2018.

Try using the interactive table to existing states or categories of interest.

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.

U.S. & State Real Median Household Income Trends

.. during the past two years, 2017 and 2018, the real median household income increased by $1,627. Some states experienced a decline in real median household income in the past two years. During the previous two years, 2015 and 2016, the real median household income increased by $3,329. See details in interactive table (opens new page).

Real median household income in the U.S. increased 0.8 percent between the 2017 ACS and 2018 ACS based on the American Community Survey (ACS 2018). The U.S. MHI, based on ACS 2018 (released September 2019), was $61,937. The national MHI has been increasing since 2013. The increase from 2017 is smaller than the prior 3 years, during which MHI increased between 1.8 percent and 3.3 percent annually. This was the second consecutive year that U.S. MHI was higher than 2007.

Household income as used here is the combined gross income of all members of a household, defined as a group of people living together, who are 15 years or older. The median household income is used to examine the economic health of an area or to compare living conditions between geographic regions.

Use the interactive table and related Geographic Information System (GIS) resources to examine income trends and geographic patterns. See details on using GIS project.

Patterns of Real Median Household Income Change; 2016-2018
— change during two calendar years labeled with 2018 real MHI
— click link for larger view; expand browser window for best quality view.

– view developed using ProximityOne CV XE GIS and related GIS project.
– geospatial analyze income characteristics integrated with your data to examine patterns; gain insights.

Median Household Income in the United States: 2005–2018

U.S. & State Median Household Income: Annually 2005–2018 — Interactive Table
The following static graphic illustrates use of the U.S. & State MHI interactive table. This view shows the 10 states/areas ranked on the 2018 real median household income. See pointer, note that D.C. had the highest real 2018 MHI.  

Try it yourself. Use the table to examine different patterns … like which states experienced a decline in a selected year or over a selected period.

Alternative Measures of MHI
There are other ways to measure/estimate MHI. Possibly the most notable alternative is the Census/BLS Current Population Survey (CPS). This topic will be covered in an upcoming blog .. and how ACS and CPS MHI estimates differ. While the CPS can be used to develop state and higher level geography estimates, ACS might be preferred as MHI estimates can also be developed for counties, cities, census tracts and block groups .. and many other political/statistical areas not possible using CPS.

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.

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.