Before you underwrite a deal, you need to know who lives near it. Income levels. Renter vs. owner split. Whether people are moving in or out of the market. Whether household formation is accelerating or contracting. Most CRE professionals know they should gather this data. What actually happens is a browser tab opens, then another, then a census tool, then a CoStar export — and thirty minutes later you have a rough picture that still needs to be formatted before it goes anywhere useful. That’s the gap this task closes. Research 5 min Pull Demographics Within Radius Pulls market-level demographic data within a defined mile radius of a subject property for market analysis and underwriting. Who It’s For Acquisitions analysts, market researchers, and underwriters who need fast, reliable demographic context for a subject property. What You Get Back A detailed demographic briefing report for the specified radius around the property, plus an interactive data dashboard. Why It Matters Replaces hours of manual census research with a 5-minute task — giving you income, tenure, migration, and demand data ready for your underwriting memo. Task Inputs Radius (Miles) Required The radius in miles of the requested demographics research.,Property Type Skills Used Location Demand Drivers by Property Type Market Snapshot Location Narrative Guide Tools Used Deep Location Analysis Demographics (Radius from Address) What This Task Does Give the Market Research Associate three inputs: a property address, a radius in miles, and a property type. That’s it. From there, the AI coworker pulls census data, IRS migration records, and market-level housing metrics for the defined radius — then organizes them into a structured demographic briefing. You get a downloadable Word document and a link to an interactive dashboard with the full data set, including trend lines and derivative insights calculated specifically for your property type. The whole thing takes about five minutes. The output is ready to drop into an underwriting memo, an investment committee deck, or a client presentation. Who This Task Is For This task is built for anyone in CRE who needs demographic context before committing time to a deal: Acquisitions Analysts running initial market screens on multifamily, retail, or mixed-use deals who need population and income data before building a model Underwriters who need to support demand assumptions — renter penetration, household formation trends, income-to-rent ratios — with real data Market Researchers compiling location reports for investment committees or development feasibility studies Brokers and Advisors preparing offering memoranda or site selection analyses for clients who expect data, not guesswork Why Demographic Research Usually Doesn’t Get Done Right It’s not that CRE professionals don’t value demographic data. They do. The problem is that pulling it properly takes time most underwriters don’t have at the screening stage. Census tools are slow and require knowing exactly what to look for. IRS migration data exists but isn’t easy to find or interpret. Deriving insights like gentrification velocity, affordability pressure, or household formation trends requires a separate calculation layer on top of the raw numbers. So what happens? The memo gets written with light market color. The committee asks for more data. Someone spends an afternoon building what this task delivers in five minutes. That’s the multiplier. What the Output Looks Like The task delivers two things: a Word document and an interactive dashboard. Between them, you get: Median household income, home value, and gross rent — with 5-year trend lines Tenure split (owner vs. renter percentage) and occupancy rate IRS net migration data — households in, households out, and adjusted gross income of movers Derivative insights: wealth concentration, affordability pressure, discretionary income, gentrification velocity, and household formation score A plain-English summary of the strongest demographic takeaway for your specific property type The interactive dashboard is shareable via link — which means it can go directly into a client email or team Slack without any formatting work on your end. Frequently Asked Questions About Pulling Property Demographics With AI How accurate is the demographic data? + The data is sourced from U.S. Census Bureau ACS 5-year estimates and IRS county-level migration records — the same sources underwriters and market researchers use manually. The task pulls and organizes that data automatically; it does not generate or estimate numbers. As with any census-derived data, there is a lag between collection and publication, typically one to two years. For rapidly changing markets, treat the trend direction as the more reliable signal than the most recent absolute figure. How do I choose the right radius? + It depends on the property type and how you define the competitive submarket.