Note: All profiles were generated by Office 2003 to serve more user groups. If you are using Office 2007, you will have to maximize the spreadsheet window for better viewing.
After selecting your areas, please click on the 'submit' button, the profile pages for those areas will be found below the 'submit' button.
The CTPP 2015 Generations profile sheets use data from the 2006 to 2008 and the 2011 to 2013 American Community Survey (ACS) Public Use Microdata Sample (PUMS). For more information of ACS PUMS files, see PUMS webpage
The Profiles are designed to give planners a handy way to explore how the Millennials and Baby Boomers are different and have changed in the last 5 years. To better serve this purpose, customized variables were created, we advise users to read the Notes before using these profiles.
While the Baby Boom generation has defined years of birth (1946 to 1964), the years of birth to define the Millennial generation are still fluid. For this tabulation of the ACS PUMS, we have used the years of birth between 1983 and 2000. Because some of our tabulations are of workers, in those tables, we restricted the age to people ages 16 and over. Therefore, in 2008, many Millennials were still under age 16. This is the main reason that there are large differences between the total number of Millennials between 2008 and 2013 when looking at workers, and also for tables where the age of the "reference person" is used to classify households.
The profiles are available for 50 states and District of Columbia, and for 337 counties. County profiles are limited to counties which share no Public Use Microdata Areas (PUMAs) with other counties (in both 2000 PUMA and 2012 PUMA geography). Each PUMA requires a minimum of 100,000 persons; the 2006-2008 ACS used the 2000 PUMA geography, and the 2011-2013 ACS used both 2000 and the 2012 PUMA geography. For more information about PUMAs, see PUMAs geography on the Census Bureau website. The Geographic Correspondence Engine found at Missouri Census Data Center was used to identify such counties.
We have not included margins of errors (MOEs) in these profile sheets because we have limited the profiles to large geographies where MOEs are of less concern. Because the sample size of the American Community Survey is much smaller than the decennial census "long form," it is more important to understand the potential errors in the tabulated results even they are not expressed on the profile sheets. For more information and example, see the chapter "Understanding Margin of Error" in A Compass for Understanding and Using American Community Survey Data.