Underwriting
Rent Comparison Populations and Weights
Compare rents only after defining what each rate measures. This page owns population, unit and weighting checks for rent comparisons across asset classes. CRE Lease Structures and Expense Recovery owns contractual rent, concessions and rent-anchor reconciliation; Forecast Evaluation and Research Transferability owns forecast scoring and transfer into an investment hypothesis. These checks do not establish an executable lease or an investment return.
Updated
CRE Valuation Methodologies separately owns sale-price numerators, property interests, unit/area inventory and pooled sale statistics. A rent rate and a transaction price belong to different observation families; neither denominator makes their asset populations comparable automatically.
Rent Populations and Weighting
Separate three questions: how a reported average changed over time, how two differently selected rent populations compare, and what one matched lease can achieve at reset. Define the observation dates, covered leases, area and rent basis, weights, concessions and actual/forecast status before using a percentage. New-lease, asking and in-place averages need not represent the same leases or property mix. A reported aggregate change does not by itself identify an individual lease's growth or the cause of that change.
Hypothetical mix case: choose an area-weighted reporting rule and two rent groups at unchanged annual rents of USD 10 and USD 20 per SF. Assume the first sample's area shares are 90% and 10%, giving an average of 11. Assume the second sample's shares are 10% and 90%, giving 19. The relative average change is (19 - 11)/11 = 8/11, about 72.727%, while neither group's rent changes. These assumed sample weights do not describe a provider's methodology or an observed market. They show why changing populations can affect an average and why matched scope matters.
With the same covered leases, area weights and rent definitions, assess the actual paired change separately. A measured historical change still does not establish next year's growth, an executed reset, tenant acceptance or landlord cash capture. Keep forecasts and scenarios explicit through Forecast Evaluation and Research Transferability, then use CRE Lease Structures and Expense Recovery and Property Cash Flow Reconciliation for the subject. No statistical estimate, renewal probability or structured fact is introduced by this example.
Pooled Rent Rates
Curator method, reviewed 2026-10-17: for comparable annual rent rates r_i in one currency per SF, matching nonnegative areas A_i and positive total area:
Selected annual rent amount = sum(A_i × r_i)
Area-weighted annual rent/SF = sum(A_i × r_i) / sum(A_i)
Use the same rent components, area definition, period, population and treatment of vacant space and concessions in numerator and denominator. Annualizing a snapshot run rate is not a schedule of actual annual contractual rent or collections. A provider may use another method; document it rather than assuming this area-weighted convention. Per-unit rents need matching unit counts; lease-count weights answer a different question from area weights.
Pool compatible subgroup rent amounts and areas before dividing. An unweighted average of subgroup rates generally differs; equal areas are one sufficient condition for agreement. Do not infer exact totals from rounded published averages or combine overlapping samples as independent space. A record with zero area supplies no area weight; missing or incompatible area/rent inputs remain unresolved.
Hypothetical split check: 1,000 SF at annual rent 10/SF and 9,000 SF at 20/SF have selected annual rent 190,000 and pooled rate 19/SF, rather than the lease-count mean 15/SF. Split the second lease into two equivalent 4,500-SF records: rent and area totals remain unchanged, so the pooled rate stays 19. The record-count mean becomes 50/3, about 16.6667. No lease rent changed. This diagnostic tests the stated area convention, not a universal reporting rule or an observed rent roll.
Rate Changes and Changing Weights
For the same defined groups at dates 0 and 1, let r_i,t be each group's comparable rate and w_i,t its nonnegative area share, with shares summing to one at each date. Define mean_t = sum(w_i,t × r_i,t). One exact arithmetic decomposition is:
mean_1 − mean_0 = sum(w_i,0 × (r_i,1 − r_i,0))
+ sum((w_i,1 − w_i,0) × r_i,1)
The first term changes rates at initial weights; the second then changes weights at final rates. Reversing the order gives final-weight rate changes plus initial-rate weight changes. Both sum to the same aggregate difference, but their components can differ. State the order. This identity does not identify a causal driver, estimate missing entrant/exit rents or prove that broad groups contain unchanged individual leases. A fixed group's internal mix can still change.
Separate hypothetical change case: initial rates 10 and 20 with shares 90%/10% give 11. Final rates 12 and 25 with shares 10%/90% give 23.7, a difference of 12.7. The displayed order allocates 2.3 to the rate term and 10.4 to the weight term. Reversing order allocates 4.7 and 8. The alternative allocations are arithmetic conventions, not competing measured causes. All rates, populations and weights in these examples are assumed.
From a Report to a Subject Lease
Keep provider coverage, geography, property/use class, observation date, lease-signing window, face/effective basis, expense obligations, area/unit denominator and actual/forecast status. Newly signed, asking, in-place and same-property renewal series need not cover the same space. The gap between unmatched averages does not establish an individual lease's mark-to-market opportunity or explain a reported growth rate.
The retained Yardi August-2026-labeled summary separately describes an in-place rent measure and leases executed during the preceding twelve months. That is an example of distinct populations, not evidence that the teaching weights above describe Yardi or explain its reported change. Keep the historical period and source scope in Source: Yardi Matrix U.S. Industrial Outlook August 2026. No provider methodology, chart estimate or current market figure is added here.
For the subject, retain actual lease rights, dates, premises, concessions and comparable evidence through CRE Lease Abstracting and Audit. Use CRE Lease Structures and Expense Recovery for a matched rent-roll gap and Industrial Valuation and Probability-Weighted Underwriting for its signed-rent industrial application. Then build complete renewal, replacement and vacancy paths through Sensitivity and Scenario Analysis. A positive benchmark spread does not establish collected rent, NOI, funding sufficiency or an acceptable return.
Test counterevidence such as competing space, lower effective rents, noncomparable quality, tenant relocation, costly work and delayed leasing. An investment conclusion still needs the investor's price, objectives, horizon, risk tolerance, available funding and executable work. Record what evidence could change the conclusion.
Use LIHTC Calculation Mechanics for regulated-rent constraints and tenant/assistance cash components. A programme limit, rent payable to an owner and collected rent must not become interchangeable observations in a pooled comparison.
Sources and Scope
- Source: Yardi Matrix U.S. Industrial Outlook August 2026 — selected historical in-place and new-lease population wording, reopened 2026-10-17; no full-report or source-wide re-attestation.
- Source: Lease Weighting and Rollover Scope Review 2026 — retained weighted-mean distinctions and lease cash/forecast limits. The new rent pooling, split and decomposition cases are curator derivations, not reported issuer measurements.
- Source: Debt Yield Scope Review 2026 — retained compatible lease, rent and normal/stressed income review. It does not prescribe these statistical formulas, a reporting method or market forecast.