New development is a sequence of expensive bets placed before there is anything to measure. Where to build. What to pay for the land. What to build. Whether it leases the way the pro forma says it will.
Every one of those calls gets made on a property that doesn’t exist yet, which is why so many still get made on a lagging quarterly report or a gut feel.
Explore Pro is ApartmentIQ’s market research product for pre-development decisions. Draw a custom boundary around the area you’re considering, price the land down to the parcel, model a subject property that hasn’t broken ground, and benchmark it against a live comp set using the same daily unit-level data you’d get on a stabilized asset.
Why new development decisions still get made on stale data
The asset doesn’t exist, so there’s nothing to benchmark. Three gaps follow. There are no comps for a building that hasn’t been built. Submarket lines average a strong pocket with a weak one and report something true of neither. And unit mix gets set against demographics and supply nobody has verified at the site level.
Explore Pro closes those gaps with the same data you’d get on a real property: daily collection, supply tracked by construction stage, six years of verified unit-level rent history, and transactions back to 2005.
Why does lease-up velocity matter so much?
A new property takes about 16 months on average to stabilize in the US. The fastest quartile gets there in 12 to 13 months. The slowest takes up to 22.
Put that spread in dollars. A 200-unit building averaging $2,000 in rents collects roughly $5 million over its first 18 months on a fast lease-up and $3.4 million on a slow one. A $1.6 million gap puts a hole in most underwriting. On a thin deal, it puts the whole thing underwater.
That’s the case for granular data over a market average. When you can see the spread inside a market, you underwrite upside, base, and downside cases instead of one number that describes no property in particular.
Concessions work the same way. New supply currently runs 12.1% to 16% of gross rents in concessions while the full market sits at 8% to 10%. Assume one month free because that’s the market rate, and you can deliver into lease-ups offering two. The market average and the lease-up average are different numbers, and only one of them is your competition.
ApartmentIQ is the only vendor able to do this by utilizing our daily-level data. We can track lease-ups as they stabilize, and normalize it on the time horizon across a neighborhood, submarket, or MSA.
Where to build: custom boundaries instead of submarket lines
A submarket boundary was drawn for someone else’s purpose. When you’re committing capital to a few blocks, you need the number for those blocks.
Draw the area yourself and Explore Pro reads four things against it:
- Demand. Population, income, labor force, unemployment, age distribution, and school ratings.
- Supply by stage. Stabilized, planning, under construction, and in lease-up, with delivery timing and a ten-year lookback, so a supply wave reads as a spike or a new normal.
- Time to fill. Lease stabilization velocity, how long a property in that area takes to reach 90% occupancy, reported as a range.
- Active lease-ups. Monthly absorption and trailing 30-day velocity on nearby lease-ups, so you see which locations are beating their market and by how much.
Together they give you a delivery window. If units under construction finish two years out and take two years to fill, a start that delivers behind them lands into far less competition.
What to pay: land value and parcel data
Land is the first check written on a deal and the one input that never gets cheaper. The data behind it lives in a county assessor site, a zoning map, a title pull, and a broker’s word on the lot next door, so the parcel gets evaluated with one set of sources and the market with another.
Explore Pro puts land in the same view. At the market level, see assessed land value per acre for any market, submarket, or custom boundary, with the trend over time, so you know what dirt is valued at where your demand data pointed and whether you’re buying into a rising or falling basis. Divide by what zoning allows and you have land cost per buildable unit, the number that green-lights or kills most deals.
At the parcel level, open any lot and see who owns it, what zoning allows today, local demographics, what’s nearby, and nearby supply by construction stage, so the delivery window applies to this site and not the whole boundary.
Settle on a parcel and its coordinates become the location for the next step.
What to build: modeling a subject property
Give Explore Pro a location, a projected delivery year, and a unit count. It assembles a live comp set of similar nearby properties and reports their unit mix, square footage, rents, rent per square foot, availability, and days on market against your hypothetical building. Location can be coordinates, because land under evaluation often has no address.
From there you’re shaping assumptions instead of inventing them. Unit mix can be entered by hand, uploaded from a CSV, or pulled from comp set averages and left linked, so curating the comp set moves your rent assumptions with it. Amenities are selected against how often each appears in your comps. Class and build type tighten the set so a Class A build isn’t benchmarked against everything nearby.
None of it is locked. Change the class, cut the unit count, push the delivery year, and Explore Pro regenerates the comp set, because a different building competes against different properties. You’re testing several sets of assumptions against the same market, not defending one.
The research report behind it
The default comp set is the 10 properties scoring highest on distance, year built, amenity match, and price by bed type. It’s transparent and overridable: drop a comp, add one five miles out, and see where each ranked in the CompScore. Rents recalculate as you go.
The report carries full concession detail, including select-unit versus property-wide offers, plus availability and occupancy by bed type, fees and deposits, and amenities from a library of more than 100. Export to Excel or PDF, or schedule it to an inbox or onsite team.
All of it also works through the ApartmentIQ AI Connector (MCP) in Claude or another AI tool. Ask it to create a research report for an address and it finds the comps, builds the report, and returns a link. Then ask what concessions look like in an area, what changed this week, or what supply is coming. Same source as the platform, same freshness, in the tools you already use.
Five development decisions and the data behind them
| Decision | The question | What answers it |
|---|---|---|
| Where to build | Is demand real, and how much supply is coming? | Custom boundaries, demographics and school ratings, supply by stage with a 10-year lookback |
| What to pay for the land | What is the dirt worth, who owns it, and what does zoning allow? | Assessed land value per acre with history, parcel-level ownership, zoning, demographics, and nearby supply |
| What to build | What unit mix, class, and amenities does this location support? | A modeled subject property benchmarked against an auto-selected comp set |
| How fast it leases | How long until 90% occupancy, and what’s the downside? | Lease stabilization velocity for the area, plus velocity on active lease-ups nearby |
| What lease-up costs | What concessions are we competing against at delivery? | Daily concession capture across the comp set, including structure and select-unit versus property-wide |
Model your next site before you break ground
Book a demo and we’ll build a subject property on a site you’re actually evaluating.
Frequently asked questions
Can you model a property that hasn’t been built yet?
Yes. A subject property needs only a location, a projected year built, and a unit count. Explore Pro builds a comp set and reports rents, concessions, occupancy, and amenities against it.
Can you see land values in Explore Pro?
Yes. Assessed land value per acre is available for any market, submarket, or custom boundary, with history, and any parcel shows ownership, zoning, demographics, and nearby supply. Assessed value follows the assessor’s cycle rather than live transactions, so treat it as a basis benchmark, not a quote.
How long does a new apartment property take to stabilize?
About 16 months on average in the US. The fastest quartile takes 12 to 13 months and the slowest up to 22, and timelines vary meaningfully by market.
What is lease stabilization velocity?
How long a property in a given area takes to reach 90% occupancy, reported as a range for a market, submarket, or boundary you draw.
Can you run a report on land with no address?
Yes. Subject properties accept coordinates as well as street addresses.
How are comps selected?
A weighted algorithm scores distance, year built, amenity match, and price by bed type. You can curate the set by hand and see where each property ranked.
How is supply data validated?
Pulled from multiple vendors, deduplicated so units aren’t counted twice, then authenticated.