.. state population dynamics are changing. Learn more about how states are changing and why — using tools and resources reviewed here. Examine how these changes might impact you.
Births as one component of change … births in the U.S. for the years 2011 through 2014 are estimated at 3.97M, 3.94M, 3.96M and 3.96M (birth rates of 12.80, 12.58, 12.54, 12.46). This relatively flat pattern varies substantially by state and region. The Northeast, Midwest and West regions experienced declining births 2010-14, while the South region had a modest increase. View extensive detail on the population and population components of change in the interactive table below. Sort, rank compare states and regions based on single years or change over time. Use our GIS project to visually examine patterns. Details below. These new 2014 state population and components of change (births, deaths, migration) estimates were released December 23 and will update with 2015 estimates in late 2015. See the related Web section with interactive table and more details.
State Migration Patterns, 2010-2014
The following view shows patterns of total cumulative state net migration for the years 2011-2014 (7/1/10 to 7/1/14). See inset legend. The label shows total state net migration for the period as a percent of 2014 total population. In expanded view, the top label shows the total state net migration for the period and the bottom label shows total state net migration for the period as a percent of 2014 total population. Use the GIS project (details below) to create views with other population and population components of change or rates for any year or year group. Label areas are desired. Add other layers such as regions or divisions. Add your own data.
View created with CV XE GIS. Click graphic for larger view with more detail.
Importance of these Data; Projecting Future Patterns
These data are important. They tell stakeholders how the population is changing, when, and where by state, multi-state regions and for the U.S.; overall. Annual measures of population change provide insights into recent patterns and how the population might change during the next few years. These data do not, in general, tell us why the population is changing. More detailed estimates of state and sub-state 2014 population by age, gender and race origin will be released between now and mid-2015.
These historical data, based on facts or near-facts, are used in models to develop projections of how the population size, characteristics and distribution might evolve in the years ahead. The projections need to be updated annually to reflect the more factually based estimates. The models endeavor to capture/specify the why of population change and how change manifests itself by age, gender and race/origin — and the all important where and when.
Using the GIS Resources: Flexible Visual Pattern Analysis
1. Install the ProximityOne CV XE GIS
… run the CV XE GIS installer
… take all defaults during installation
2. Download the U.S. by State Population 2014 GIS project fileset
… requires ProximityOne User Group ID (join now, no fee)
… unzip U.S. State Population GIS project files to local folder c:\popest
3. Open the c:\popest\stpop2014.gis project
… after completing the above steps, click File>Open>Dialog
… open the file named c:\popest\stpop2014.gis
4. Done. The start-up view is similar to the graphic shown at the top of this section.
Using the Interactive Table
Use the interactive table to view, rank, query and compare states based on detailed characteristics. The following graphic illustrates use of the interactive table to rank states in descending order based on population change 2010 to 2014 (see pointer in rightmost column).
Click graphic for larger view.
Support Using these Resources
Learn more about demographic economic data 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.