Exploring SimplyMap Data: Life Stage Clusters
Is there a specific age group and income bracket you are specifically interested in researching for a target location? Our Life Stages module has the information you need. Life Stages, by EASI is a premium data set available for trial or purchase to all SimplyMap subscribers. In this brief write up, we’ll take a look at some of the options available within this data package.
The Life Stages module is broken down into three folders:
Young Households - Very Young <25 and Young 25-34
Middle Age Households - Middle Age 35-44 and Late Middle Age 45-54
Older Households - Nearly Senior 55-64, Senior 65-74 and Oldest 75+
Each of these folders is further broken down by family types and income.The income data has three tiers: lower income, moderate income and higher income. Let’s get started with a demonstration.
Scenario: You want to analyze the city of Chicago by Life Stage clusters to identify high income, non-family households (young, middle age and older).
Step 1: Create a Location Analysis Report, and use the city of Chicago as your location.
Step 2: Open the Variables Panel and navigate to Life Stages and through each household folder, selecting the variables that meet our criteria, such as: % HHs Cluster 12: Very Young (<25) Non-Family with Higher Income, 2014. Image below for reference.
Step 3: Hover over each variable in your report and select “Sort Descending”. This will effectively rank your Chicago ZIP Codes by that variable allowing you to see the ZIP Codes where each selected variable is most represented.
Tip: To gather more information on your variables, such as a definition and summary, select View Metadata from the dropdown that appears when hovering over the variable. Sample shown below:
We hope you enjoyed this week’s feature on the Life Stages data module. If you feel this data package could be useful at your institution, send an email to support@geographicresearch.com We would be happy to set up a free temporary trial.
Stay tuned for more!
More from SimplyAnalytics
Posted on Apr 27, 2015 by Admin
In this week’s write up we want to share some quick tips and tricks that you might not yet know about in SimplyMap. TIP #1 Did you know that you can share your work? SimplyMap allows you ...
Posted on Jul 28, 2013 by Admin
We recently discovered some interesting data on participation and attitudes towards recycling, and decided to dig a bit deeper into our Experian SimmonsLOCAL data. This data package inclu...
Posted on Feb 14, 2017 by Admin
In previous blog entries, we highlighted the value of having a mapping application to complement premium data when analyzing America's geographic preferences in credit cards, and mayonnai...
Posted on May 08, 2018 by Admin
We will be exhibiting at the SLA conference in Baltimore, MD this June. Stop by booth #912 and say hello - we look forward to demonstrating SimplyAnalytics, answering your questions, and ...
Posted on Sep 14, 2021 by Admin
Welcome readers! Today we are excited to welcome histograms to SimplyAnalytics. We hope you enjoy this wonderful new visualization as much as we do. Let’s take a look. What is a histogram...
Posted on May 19, 2015 by Admin
We will be attending ALA this summer in San Francisco (hint: dress warm!). Visit us at Booth 413 and don't forget to enter our raffle - we will be giving away a $100 gift certificate to A...
Posted on Jan 17, 2011 by Admin
Come visit the Geographic Research booth at the Ontario Library Association Super Conference this season. The conference will take place on February 2-5, 2011 at the Metro Toronto Convent...
Posted on Nov 28, 2023 by Admin
Hello readers! We are happy to announce that SimplyAnalytics has successfully migrated to the Census 2020 boundaries on Sunday, November 19th. This blog will talk about what that is, what...
Posted on Dec 02, 2019 by Admin
Hi everybody! We’re back this week with another question from our Help Desk. This time featuring SimplyAnalytics Canada. Let’s get started! Question: How can I analyze all of the PRIZM5 s...
Posted on Feb 13, 2015 by Admin
In this week’s report exploring SimplyMap data, we want to find out where America’s remote workers reside. To find this, we can tap into the Census data in SimplyMap. The specific variabl...


