Browsing for Data Variables: Category Search

Welcome readers! This week we’ll take a look at how to browse for data by category in SimplyAnalytics. Browsing by Category is the default way of browsing for data in SimplyAnalytics. It includes robust filtering capabilities to quickly find the specific data you are looking for from among the thousands of variables in the database.

Suppose we want to find the percentage of females who are employed in the healthcare industry.

First, select the broadest appropriate category – Jobs & Employment.

The top left of the panel displays how many variables are related to Jobs & Employment.

Feature Highlight – Jump to Path

Welcome readers! Today we have a quick feature highlight that will assist you in browsing and searching for data variables.

All data variables have a path where they reside within their datasets. For example, the data variable: % Education, College, Master’s or Doctorate Degree can be found at this dataset path: Census Data » People and Households » Education » Attainment.

Each » reflects a different folder and subfolder. In the above example, the Attainment folder is within the Education folder that is found under People and Households within the Census Data.

View Spotlight – Time Series Table

Welcome readers! This week we are excited to feature our newest view in SimplyAnalytics, the Time Series Table.

What is it?

The Time Series Table allows you to quickly pull all years available for a variable of your choosing. This allows you to easily identify trends over time.


You want to track the trend of median household income across some target locations.

In your project, select New View towards the top-right of your screen and select Time Series Table.

View Spotlight: Related Data Table

Hello readers! Welcome to this week’s blog. This week we will feature the Related Data Table view and how you can use it to maximize your productivity in SimplyAnalytics.

What is it?

The Related Data Table View is designed to allow you to quickly add in many similar data variables at once. For example, if you add “% Households w/ Income $50,000 to $74,999” the report will also show all of the other income ranges as well.

Some other use cases: you want to quickly add in all life-stage data variables, or PRIZM psychographic segments, or all Language variables.


Identify what the top PRIZM household segment is for a ZIP Code. The PRIZM Dataset is a marketing segmentation system that allows you to understand the demographic and lifestyle/consumer traits of any location in the United States. This data is very popular within marketing departments across many large companies, and we are happy to offer it as an add on module to your subscription.

(1) Select New View from the top-right of the interface 

(2) Click on the Create button under the Related Data Table section

Feature Highlight: Data Filters

Hello everyone and welcome to this week’s blog. This week we will discuss how to create and utilize filters for your research.

Why Use a Filter?

Filters are a great way to identify target areas that meet multiple conditions.

Use Case

You want to identify areas of San Antonio to market your afterschool program that is aimed towards low income and low educational attainment areas. You can use a data filter to help find the target areas.


View Spotlight: Quick Report

The Quick Report is one of the newest features added to SimplyAnalytics – let’s take a look at how it can support your research.

This report instantly provides you with a curated list of key data variables for any location or locations of your choosing. You can specify the report content you wish to view for your locations, such as a Demographic Overview or a Housing Overview.

When To Use: Use the Quick Report to quickly gain insight into your target locations. If you’d like to quickly view many key data variables for your locations this is a fantastic way to get started on your analysis and only takes a few seconds!

How to Use: There’s only three steps to create a Quick Report.