Dekalb, IL
Commercial Real Estate Market Trends & Data
Dekalb's Demographic Profile
Dekalb has 15,387 households and a median income of $48,052, providing context for rent absorption and tenant demand across retail and multifamily assets. A 0% five-year population trend is a key signal for evaluating long-term demand in this market.
| Key Demographic Metric | Value |
|---|---|
| Population | 39,789 |
| # Households | 15,387 |
| Median age | 29 |
| Median household income | $48,052 |
| Avg household size | 2.0 |
| Renter-occupied housing units | 9,252 |
| 5-year population change | 0% |
{{marketTabHeadings[activeMarketTab]}} Market Metrics Near Dekalb, IL
↻ Updated Monthly{{marketTabDescriptions[activeMarketTab]}}
| Nearby Retail Markets | Avg Cost/SF | Typical Size |
|---|---|---|
| Dekalb | $225 | 4,420 SF |
| Maple Park | $141 | 9,681 SF |
| Waterman | $295 | 1,000 SF |
| Burlington | $133 | 4,511 SF |
Commercial Properties For Sale in Dekalb
Average Price For Sale
↻ Updated MonthlyAverage Price For Lease
↻ Updated MonthlyNumber of Listings
↻ Updated MonthlyCap Rate
↻ Updated MonthlyHow Investors Evaluate Commercial Real Estate Markets
Nearby Commercial Markets
Comparing nearby markets helps investors see whether Dekalb pricing and building scale sit above, below, or in line with surrounding areas.
| Commercial Markets | Avg Cost/SF | Average Size |
|---|---|---|
| Dekalb | $122 | 75,919 SF |
| Cortland | $212 | 3,200 SF |
| Sycamore | $143 | 7,827 SF |
| Maple Park | $124 | 10,205 SF |
Regional Demographic Comparison
This comparison places Dekalb alongside nearby cities to show how population size, household counts, and income levels differ across the region. Viewing these markets side by side helps investors understand whether local demand and income characteristics are concentrated in Dekalb or distributed across surrounding areas.
| City | Population | # Households | Age | Median Household Income | Avg Household Size | Renter Occupied Housing Units | Five Yr Pop Growth % |
|---|---|---|---|---|---|---|---|
| Cortland | 4,611 | 1,708 | 37 | $79,016 | 3 | 400 | 2% |
| Sycamore | 18,530 | 7,419 | 39 | $80,341 | 3 | 2,360 | -1% |
| Maple Park | 1,313 | 491 | 40 | $111,833 | 3 | 81 | -2% |
Disclaimer: The figures on this page reflect LoopNet's active commercial listings in Dekalb, IL and update as inventory changes. Averages can shift between periods or vary across property types depending on the mix of listings available at a given time, so individual metrics may not reflect broader market trends. These figures are best used as directional benchmarks for early market evaluation. For comprehensive commercial real estate data and analytics, subscribe to CoStar.
FAQs About Commercial Investing in Dekalb
Dekalb offers commercial properties across a wide range of sizes and price points. By reviewing the market data and benchmarks on this page, first-time investors can better understand what a typical commercial property looks like before committing capital and narrowing in on specific listings.
The pricing and size metrics on this page help business owners compare the cost of ownership against leasing in Dekalb. Typical building sizes and asking prices provide a starting point for evaluating space needs, budget fit, and long term occupancy costs before engaging lenders or brokers.
Conservative investors often prioritize manageable deal sizes, stable pricing ranges, and cap rate benchmarks shown for Dekalb. These metrics help assess whether current market conditions support steady income potential without relying on aggressive assumptions.
Nearby market comparisons highlight differences in pricing, building scale, and cap rate ranges relative to Dekalb. Reviewing these side by side helps experienced investors identify relative value, pricing premiums, or alternative markets that may better align with return targets.
This page provides high-level benchmarks for pricing, deal size, and observed cap rates in Dekalb, which are useful for initial market filtering. Institutional and data-driven investors often use these signals to prioritize listings that meet size, pricing, and return thresholds before deeper underwriting.
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