Tag Archives: Appalachia

Examining Appalachia City Characteristics & Trends

.. using tools and data to examine geographic, demographic, economic characteristics of the Appalachia Region .. Appalachia is a region that includes parts of 13 states, 420 counties, and has long been challenged with poverty. This section is part of a series focused on Appalachia.  See related more detailed Web section.

The Appalachia Region; Lay of the Land
The population of Appalachia increased from 25.1 million in 2010 to 25.5 million in 2016, an increase of 289,806. The following graphic shows how Appalachia region counties have gained population (blue and green) and lost population (orange and red) during the period 2010 to 2016. Click graphic for larger view; expand browser window for best quality view.

.. view developed with ProximityOne CV XE GIS and related GIS project.

Cities in Appalachia
In 2016, there were 2,393 cities in Appalachia. Seven cities had population over 100,000; 16 cities had over 50,000 population and 213 cities had 10,000 or more population.

The following graphic shows cities (red markers) with 2016 population of 10,000 or more in the Appalachia region in context of counties (yellow fill pattern). Click graphic for larger view; expand browser window for best quality view. Larger view shows city names except where labels could overlap.

.. view developed with ProximityOne CV XE GIS and related GIS project.

Growing Cities
The following view shows cities as green markers having 5,000+ 2016 population with growth of 500+ or more population, 2010-2016.

.. view developed with ProximityOne CV XE GIS and related GIS project.

Cities & Metros in Appalachia
The following graphic shows Metropolitan Statistical Areas (green fill pattern) that intersect with Appalachia region counties. Note that some metros only partly intersect with Appalachia. County boundaries are shown as overlay on metros. For example, only northern counties of the Atlanta metro (see pointer) are Appalachia counties. “Edge” Appalachia metros create opportunities for nearby Appalachia counties. Cities within Appalachia and having 50,000+ 2016 population are shown with orange markers. Click graphic for larger view; expand browser window for best quality view.

.. view developed with ProximityOne CV XE GIS and related GIS project.

Characteristics of Metros, Cities and School Districts
• Demographic-economic profiles for selected cities
Examples (click link above to view other cities; click links below for specific city profiles):
.. Cumberland, MD [2421325] (19,978)
.. Frostburg, MD [2430900] (8,676)
Access any/all U.S. city(s) — http://proximityone.com/places15dp1.htm
• Demographic-economic profiles for selected school districts
Examples (click link above to view other districts; click links below for specific district profiles):
.. Allegany County Public Schools, MD [2400030]
.. Pittsburgh School District, PA [4219170]
Access any/all U.S. school district(s) — http://proximityone.com/sd15dp1.htm
• S&O metro reports

Examining Characteristics of All Cities/Places
Use these resources to examine all U.S. cities/places.
• Cities/Places Main Section
• America’s Communities Program — city profiles
• All Cities/Places — 4 Web section/tables
• City Population Estimates & Trends 2010-2016 interactive table

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.

Appalachia Region & County Population Trends

.. examining how is the Appalachia population changing and why .. Appalachia is a region that includes parts of 13 states and has long been challenged with poverty. The population of Appalachia increased from 25,184,339 in 2010 to 25,449,932 in 2015. The extended report below, developed using the ProximityOne Regional Data Analytics tool, in combination with GIS tools provide insights into why, how and where the population change has occurred since 2010.

Patterns of Appalachia County Population Trends 2010-2015
Appalachia counties are shown in the following graphic with the black bold boundary. The thematic pattern map shows how counties have gained population (blue and green) and lost population (orange and red) during the period 2010 to 2015. It is easy to see clusters of counties that are increasing or losing population and why. Counties increasing in population are shown by the dominant factor contributing to their growth — net migration or natural change (where births exceed deaths). Counties decreasing in population are shown by the dominant factor contributing to their population loss — net migration or natural change (where deaths exceed births). See more detail and access data via interactive table in the County Trends 2010-2015 section. Click graphic for larger view; expand browser window for best quality view.

.. view developed with ProximityOne CV XE GIS and related GIS project.

Summary of Population Change
Appalachia has increased in population since 2010 due to both net migration and natural increase. The analyses show that during the 2010 to 2015 period, the Appalachia population:
• increased by 1,688,832 births
• experienced 1,562,810 deaths
• had a natural increase (births less deaths) of 126,022 population
• increased by 166,990 net international migration
• increased by 53,209 net domestic migration
• had a net migration of 220,199 population

Region & County-by-County Population & Components of Change
The RDA report includes eight tables for each county and a summary for the Appalachia region. Tables displayed when using the “Population Estimates & Components” data include:
• Table 1 – total population
• Table 2 – births
• Table 3 – deaths
• Table 4 – natural change
• Table 5 – international migration
• Table 6 – domestic migration
• Table 7 – net migration
• Table 8 – group quarters population

Appalachia Counties & Region: Population Trends & Components of Change; 2010-2015
Click link below to view report. Data for all Appalachia counties, followed the regional summary, are provided table-by-table in the table sequence shown above.
Appalachia region population & components of change 2010-15

Terms of Use
The above report may be used for any purpose provided that:
1 – it is not used for commercial or consulting purposes.
2 – it is not used in funded research.
3 – all use is referenced as to source with Web URL:
— developed by ProximityOne based in part on Census Bureau data; http://proximityone.com/rda.htm.

Using the RDA Resources
Use the RDA tool to develop reports like the one shown here for counties and regions of interest. Possibly more importantly, these resources can help us examine related topics such as healthcare and education. What are the characteristics and requirements now and how are needs, services and capabilities distributed across a region? How will the population change over the next several years and possibly result in improving – or deteriorating – conditions? Use the RDA demographic insights features and predictive analytics to better assess future change and needs.

Contact ProximityOne (mention RDA in text section or call 888.364.7656) for more information about using the RDA resources or custom reports.

Support Using these Resources
Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these one-hour Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants.

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.

Analyzing County Health Patterns

.. as the population ages, migrates and otherwise changes, health status and healthcare needs change by location, type and in other ways. Data on health status, characteristics and trends continue to become more available, particularly at the county geographic level … but these data are often difficult to locate, integrate and use in a combined manner.

VA Hospitals/Facilities in Context of Urban/Rural Areas
The following graphic illustrates how Veterans Administration hospitals and facilities (red markers) can be viewed in context of urban/rural patterns. Urban areas are shown with orange fill pattern. The Appalachia 405 county area is shown with black bold boundary. Use (GIS) resources to examine additional patterns such as the distribution of veterans by census tract based on the American Community Survey (ACS) data.

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

County Health Analytics
This section provides an overview of accessing, integrating and analyzing demographic, economic and health data with a focus on county and sub-county geography. Geographic information system (GIS) tools are used to visually and geospatially analyze health-related patterns and characteristics. Applications reviewed here are developed using the CV XE GIS software and associated U.S. national scale health GIS Project. See more detail in the related Web section.

The County Health Patterns GIS project includes data from:
• ProximityOne CountyTrends and Situation & Outlook
… view individual county population & components of change trends
… click county link in this interactive table
• Robert Wood Johnson Foundation County Health Rankings
Appalachian Regional Commission economic status
• Other sources. See additional information

Additional ProximityOne ready-to-use shapefiles could be added containing all data from the American Community Survey demographic-economic profiles. The same scope of subject matter, annually updated, is available at the ZIP code, census tract, county and other geography. See related interactive tables (four related web sections) for subject matter details.

The CV XE GIS software is used with the County Health Patterns GIS project to develop views/applications shown below. These views/applications illustrate how the health analytics resources can be used. Select from wide ranging alternative measures.

Patterns of Population Change — %Change 2010-2014 — U.S. by County
The following view shows patterns of %population change 2010-2014 using the CountyTrends layer/dataset.

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

Site Analysis & Patterns of Population Change
— %Change 2010-2014 — Houston Metro Area
The following view shows patterns of %population change 2010-2014 using the CountyTrends layer/dataset. This view also illustrates use of the Site Analysis tool to aggregate and display population by year 2010 through 2014.

— click graphic for larger view showing details.

Patterns of Population Change
— %Change 2010-2014 — Missouri Area Counties
The following view shows patterns of %population change 2010-2014 using the CountyTrends layer/dataset. This view also illustrates use of the Metros layer to show outlines of Missouri metropolitan statistical areas (bold red/brown boundary). Counties are labeled with the 2014 population estimate.

— click graphic for larger view showing details.

Patterns of Percent Smokers — U.S. by County
The following view shows patterns of percent smokers by county using the County Health Rankings RMD layer/dataset. Choose from a list of wide-ranging health-related subject matter items.

— click graphic for larger view showing details.

Patterns of Food Insecurity — U.S. by County
The following view shows patterns of food insecurity by county using the County Health Rankings AMD layer/dataset. Choose from a list of wide-ranging health-related subject matter items.

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

Patterns of Food Insecurity — Appalachia Region
The following view shows a zoom-in of the above view.

— click graphic for larger view showing details.

Patterns of Economic Distress — Appalachia Region
The following view shows patterns of economic distress based on an index developed by the Appalachian Regional Commission. Economic characteristics of an area can have a direct impact on health and well-being and access to healthcare resources.

— click graphic for larger view showing details.

An upcoming section will review more detail about analyzing regional health and healthcare issues with drill-down to census tract and other sub-county geography.

Join us in a Data Analytics Web Session where we review and discuss use of tools and resources like those covered in this section.

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.