Understanding Demographic & Trade Area Data in TractIQ

Why We Use EASI Analytics

EASI’s modeling goes beyond traditional U.S. Census Bureau data (like ACS 5-year estimates), giving you a more timely, accurate, and consistent picture of your trade areas.

Here’s why that matters:

Updated Annually: ACS data averages across five years — EASI refreshes yearly, reflecting today’s market conditions.
More Complete Picture: EASI combines Census data with USPS delivery data, IRS migration flows, BLS employment data, and BEA income figures.
Smarter Modeling: EASI smooths out sampling noise that can distort small-area data in fast-changing markets.
Anchored to the Census: Every decade, EASI aligns its estimates with the latest full Census count, ensuring continuity and accuracy.

How TractIQ Builds a Trade Area

When you generate a trade area in TractIQ; whether radius-based (distance) or drive-time-based (travel duration), the platform identifies which points of interest (POIs) and block groups (BGs) should be included in that zone.

1. Points of Interest (POIs)

If a POI (e.g., facility, development site) falls within the trade area, it’s included in the analysis. If it’s outside, it’s excluded.

2. Block Groups (BGs)

Block groups are more complex because their boundaries often overlap a trade area. Here’s how we handle that:

TractIQ’s method: We use a centroid-based approach. If the geometric center (centroid) of a block group falls inside your trade area, it’s included; if not, it’s excluded.
Why we use it: It’s a consistent, industry-standard approach that avoids overstating population and demand within your trade area.

The methodology used to determine what’s “in a trade area” can have a large effect on the result. This is why when users compare demographics across platforms they can vary significantly even if the underlying data is the same. In particular, if you’re using a small trade area (like a 1 or 3 mile radius) or you happen to be analyzing an area with large block groups (typically less densely populated areas). Please don’t hesitate to reach out to us if you have feedback about this methodology. There is no right approach and we welcome input from you on what approach you’d like to see!

Why We Chose EASI Over ESRI

Advantage	EASI Analytics	ESRI (ArcGIS)
Transparency	Methodology and data sources openly published.	Proprietary methods, less transparent.
Timeliness	Annual updates with multiple federal data sources.	Based primarily on Census/ACS data.
Flexibility	Supports block group, ZIP, or custom trade areas.	More rigid and locked to ESRI’s ecosystem.
Consistency	Reconciles easily to Census benchmarks.	Can diverge significantly from Census baselines.

Why This Matters

Accurate demographic and trade area data directly impacts how you:
- Evaluate market saturation and demand.
- Forecast growth and pricing potential.
- Make data-driven investment and acquisition decisions.

With EASI and TractIQ’s precision trade area modeling, you can be confident your analysis reflects real-world, up-to-date conditions; not outdated, averaged data.

Please don’t hesitate to reach out to us with feedback on the methodology above. There are many views on how this can be done and we always are looking for ways to make TractIQ’s approach more accessible and useful for you!