Category Archives: Life expectancy

Life Expectancy Change by County, 1980-2014

.. data and tools to examine changing life expectancy by county. Use the interactive table to examine life expectancy characteristics and related demographics for counties and regions of interest. Use the related GIS project and datasets to examine life expectancy contextually with other geography & subject matter. See details below. These data and tools are part of the ProximityOne health data analytics resources.

Life expectancy is rising overall in the United States, but in some areas, death rates are going in the other direction. These geographic disparities are widening.

Life Expectancy Change by County, 1980-2014
The following graphic shows patterns of the change in life expectancy change from 1980 to 2014. Click graphic for larger view. Expand browser window for best quality view.

– View developed using CV XE GIS and related GIS project.
– see below in this section about using this GIS project.

Life expectancy is greatest in the high country of central Colorado, but in many pockets of the U.S., life expectancy is more than 20 years lower. These data are based on research and analysis by the University of Washington Institute for Health Metrics and Evaluation.

Examining life expectancy by county allows for tracking geographic disparities over time and assessing factors related to these disparities. This information is potentially useful for policymakers, clinicians, and researchers seeking to reduce disparities and increase longevity.

Life Expectancy Change by County, 1980-2014 — drill-down view
— South Central Region
The following graphic shows patterns of the change in life expectancy change from 1980 to 2014. Click graphic for larger view. Expand browser window for best quality view. The larger graphic shows counties labeled with change in life expectancy from 1980-2014.

– View developed using CV XE GIS and related GIS project.
– see below in this section about using this GIS project.

Additional Views — use the GIS project to create your own views
.. click link to view
Alaska
Hawaii
Minneapolis metro

Using the Interactive Table
Use the interactive table to view, rank, compare life expectancy characteristics. This graphic shows California counties ranked on life expectancy change 1980-2014 in descending order. Select states or metros 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 Life Expectancy by County

Life expectancy in the United States in 2007 ranged from 65.9 to 81.1 years for men and 73.5 to 86.0 years for women. When compared against a time series of life expectancy in the 10 nations with the lowest mortality, U.S. counties range from being 15 calendar years ahead to over 50 calendar years behind for men and 16 calendar years ahead to over 50 calendar years behind for women. Between 2000 and 2007, 80% (men) and 91% (women) of U.S. counties fell in standing against this international life expectancy standard. These are among the findings reported in Population Health Metrics.

This section reviews interactive tools and resources that you can use to examine county life expectancy and related data.

Male Life Expectancy by County, 2007

County Life Expectancy Interactive Table
Use the Web interactive table to view, compare, analyze the U.S. by county level data from the above study in combination with related demographic-economic measures.

The following graphic illustrates how the table can be used to examine life expectancy patterns by county. A query is used to select only Charlotte NC-SC metro counties, Each row shows data for a county. The 2000 and 2007 life expectancy data are shown at right in the graphic,

Visual Analysis using GIS Resources
Use GIS tools to visually examine life expectancy patterns. Create thematic pattern maps such as the male life expectancy by county pattern map shown above or corresponding female pattern map shown below. Members of the ProximityOne User Group may download and use the county life expectancy GIS project to develop maps like these. Zoom into regions of interest. Add other layers. Label the maps as desired. Use other subject matter to develop related pattern views. Modify the legend defining life expectancy intervals.

Female Life Expectancy by County, 2007

Healthcare Analysis and Situation & Outlook
The ProximityOne Situation & Outlook (S&O) Program is a combined database and interpretive resource that you can use to better understand the existing healthcare situation, find out how area demographic-economic conditions are changing, and assess how changing conditions might impact various components of the healthcare infrastructure.

Support Using these Resources
Learn more about healthcare geographic-demographic-economic data, patterns and related analytical tools. Join us in a Decision-Making Information Web 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.