OfferSetGo research reference

100 Real Estate Contract & Closing Statistics, November 2026

Updated November 2026.

Getting an offer accepted and getting a transaction closed are different jobs. This reference focuses on the work between them: financing, contingencies, documents, title coordination, signatures and verification.

The findings combine national professional surveys, federal mortgage data and reported fraud information, with a separately labeled Colorado view. Each observation retains its period and source. These are industry findings, not OfferSetGo customer results or estimates of the time its software saves.

Key Takeaways

  • Delayed settlement, September survey: 16%. September 2026 survey; contracts in past three months. (NAR, October 2026).
  • Terminated contracts, September survey: 7%. September 2026 survey; contracts in past three months. (NAR, October 2026).
  • Median time to close: 30 days. September 2026. (NAR, October 2026).
  • Conventional Conforming published denial rate: 16.33%. 2026 Q2. (CFPB / FFIEC, July 2026).
  • FHA published denial rate: 26.60%. 2026 Q2. (CFPB / FFIEC, July 2026).
  • Respondents: purchase file, over 50 documents: 21%. 2025 survey; reported average workload. (ALTA / ndp analytics, March 2026).
  • Pain point: prior mortgage releases: 59.0%. 2025 survey; significant pain-point selections overlap. (ALTA / ndp analytics, March 2026).
  • Adoption goal: saving time: 81%. 2026 survey; agents’ responses. (NAR, September 2026).
  • Tool used: electronic signatures: 79%. 2026 survey; agents’ responses. (NAR, September 2026).
  • At least one attempt during prior calendar year: 59%. 2026 survey; prior calendar year: 2025. (ALTA / Elevated Insights Group, September 2026).
  • Firms using multiple helpful detection tools: 94%. 2026 survey; red-flag categories overlap. (ALTA / Elevated Insights Group, September 2026).
  • Colorado Real Estate victim count: 273. 2025, Colorado. (FBI IC3, April 2026).

How often do real estate contracts face delays or cancellation?

An accepted offer starts a coordination process. Track closing time, delay and termination separately so that an apparent change in one does not conceal another.

Shares of contracts with delayed settlement or termination in the September 2026 NAR survey
Figure 1: Delay and termination are separate survey measures; the bars must not be added or interpreted as software-caused outcomes. Source: NAR, September 2026 REALTORS® Confidence Index Survey, September 2026 survey; published October 2026. Original OfferSetGo chart of the producer’s published data, prepared 4 November 2026.

How do delayed and terminated contracts compare?

A delayed settlement can still close; a termination ends that contract. NAR measures both over a rolling period. The rows below preserve the earlier survey periods rather than treating them as one transaction ledger. For workflow planning, preserve the status history and the recorded reason for a change, alongside the current closing date.

Measure Period / scope Reported result and source
Delayed settlement, August survey August 2026 comparison; contracts in past three months 14% (NAR, October 2026)
Terminated contracts, August survey August 2026 comparison; contracts in past three months 7% (NAR, October 2026)
Delayed settlement, prior September survey September 2025 comparison; contracts in past three months 14% (NAR, October 2026)
Terminated contracts, prior September survey September 2025 comparison; contracts in past three months 6% (NAR, October 2026)

How long does a contract typically take to close?

NAR reports a median contract-to-close interval, separately from time on market. That describes the middle reported transaction rather than a deadline for every deal. The earlier comparison rows retain their own periods even where the values match. An individual agreement still needs its actual dates, responsible parties and amendment history.

Measure Period / scope Reported result and source
Median time to close August 2026 30 days (NAR, October 2026)
Median time to close September 2025 30 days (NAR, October 2026)

How do offers and contingencies shape the work after acceptance?

The survey records contingency waivers and the average offers received on the most recent sale. Inspection and appraisal concern different protections; offers received is a count rather than a percentage. The period labels preserve those comparisons. A useful workflow inference is to retain the accepted version and identify changed terms, so negotiation history remains connected to the deal.

Measure Period / scope Reported result and source
Buyers waiving inspection contingency September 2026 20% (NAR, October 2026)
Buyers waiving appraisal contingency September 2026 18% (NAR, October 2026)
Average offers on most recent sale September 2026 2.2 (NAR, October 2026)
Buyers waiving inspection contingency August 2026 20% (NAR, October 2026)
Buyers waiving appraisal contingency August 2026 22% (NAR, October 2026)
Average offers on most recent sale August 2026 2.1 (NAR, October 2026)
Buyers waiving inspection contingency September 2025 21% (NAR, October 2026)
Buyers waiving appraisal contingency September 2025 19% (NAR, October 2026)
Average offers on most recent sale September 2025 2.3 (NAR, October 2026)

For the Colorado-specific workflow, see OfferSetGo’s contract deadlines guide.

What do mortgage denial rates show about financing readiness?

A financing plan deserves its own evidence trail. Published mortgage aggregates can provide context, but they cannot determine whether a buyer under contract will obtain a particular loan.

Published denial rates for four mortgage categories, 2025 Q3 through 2026 Q2
Figure 2: These series describe the current large-quarterly-filer cohort, with the producer’s own filters; they are not Colorado purchase-contract failure rates. Source: CFPB / FFIEC, HMDA Quarterly Graphs: Denial Rates, 2025 Q3–2026 Q2; source series updated July 2026. Original OfferSetGo rendering of the producer’s public graph data, prepared 4 November 2026.

How do conventional loan categories compare?

The federal graph reports conforming and non-conforming conventional loans separately. Its history covers institutions designated as current quarterly filers, whose earlier data can be restated when that cohort changes. These published denial rates use the producer’s filters and rounding. They describe financing outcomes across that cohort, rather than the prospects of a particular buyer or Colorado purchase contract.

Measure Period / scope Reported result and source
Conventional Conforming published denial rate 2025 Q3 14.65% (CFPB / FFIEC, July 2026)
Conventional Conforming published denial rate 2025 Q4 14.55% (CFPB / FFIEC, July 2026)
Conventional Conforming published denial rate 2026 Q1 16.41% (CFPB / FFIEC, July 2026)
Conventional Non-Conforming published denial rate 2025 Q3 10.85% (CFPB / FFIEC, July 2026)
Conventional Non-Conforming published denial rate 2025 Q4 11.10% (CFPB / FFIEC, July 2026)
Conventional Non-Conforming published denial rate 2026 Q1 11.64% (CFPB / FFIEC, July 2026)
Conventional Non-Conforming published denial rate 2026 Q2 10.30% (CFPB / FFIEC, July 2026)

What does the FHA series report?

FHA is a separate loan-type series in the same federal graph. Its current-quarter observation is in the takeaways; earlier quarters appear below. Applicant mix and reporting filters matter when comparing categories. The operational inference is to keep the lender’s actual status and outstanding conditions attached to the deal, alongside the agreement’s financing terms.

Measure Period / scope Reported result and source
FHA published denial rate 2025 Q3 25.65% (CFPB / FFIEC, July 2026)
FHA published denial rate 2025 Q4 24.77% (CFPB / FFIEC, July 2026)
FHA published denial rate 2026 Q1 25.86% (CFPB / FFIEC, July 2026)

What does the VA series report?

The VA line supplies another dated view of financing outcomes. The public graph does not establish that this is a purchase-only series. An application outcome also differs from a real estate contract outcome. Keeping application progress, outstanding documents and contractual dates distinguishable makes a transaction’s financing status more informative than a single completed-or-not label.

Measure Period / scope Reported result and source
VA published denial rate 2025 Q3 16.98% (CFPB / FFIEC, July 2026)
VA published denial rate 2025 Q4 14.35% (CFPB / FFIEC, July 2026)
VA published denial rate 2026 Q1 15.67% (CFPB / FFIEC, July 2026)
VA published denial rate 2026 Q2 15.41% (CFPB / FFIEC, July 2026)

Why does title clearance require document coordination?

Title work is a coordination problem as well as a search problem. The handoffs between records, parties and releases deserve visibility before the closing date arrives.

ALTA survey responses on average document volume in purchase and refinance title files
Figure 3: The source’s original chart compares reported average document workloads, rather than every file reviewed by every title firm. Source: ALTA / ndp analytics, Measuring the Complexity of Title Production, 2025 survey; published March 2026. Cropped excerpt of the source PDF, prepared 4 November 2026.

How much documentation do title professionals review?

The ALTA chart records respondents’ average document workload for purchase and refinance files. The bins describe survey responses, rather than a census of individual closings. The purchase category highlighted in the takeaways is omitted below. For coordination, identify the outstanding document and its owner; folder size alone does not establish that a title review is complete.

Measure Period / scope Reported result and source
Respondents: purchase file, 10 or fewer documents 2025 survey; reported average workload 18% (ALTA / ndp analytics, March 2026)
Respondents: purchase file, 11–50 documents 2025 survey; reported average workload 61% (ALTA / ndp analytics, March 2026)
Respondents: refinance file, 10 or fewer documents 2025 survey; reported average workload 41% (ALTA / ndp analytics, March 2026)
Respondents: refinance file, 11–50 documents 2025 survey; reported average workload 48% (ALTA / ndp analytics, March 2026)
Respondents: refinance file, over 50 documents 2025 survey; reported average workload 11% (ALTA / ndp analytics, March 2026)

Where do title searches obtain their information?

Title professionals report consulting multiple record sources, with overlapping selections. Public-office records and different searches can contribute to the same file. These rows illustrate the importance of retaining a record’s source, the version reviewed and the person awaiting it. Source access is one part of the title professional’s broader examination.

Measure Period / scope Reported result and source
Source used: taxing authorities 2025 survey; source selections overlap 94.0% (ALTA / ndp analytics, March 2026)
Source used: recorder’s office 2025 survey; source selections overlap 91.9% (ALTA / ndp analytics, March 2026)
Source used: name searches 2025 survey; source selections overlap 88.1% (ALTA / ndp analytics, March 2026)
Source used: courthouse 2025 survey; source selections overlap 83.3% (ALTA / ndp analytics, March 2026)
Source used: assessment searches 2025 survey; source selections overlap 77.6% (ALTA / ndp analytics, March 2026)
Source used: Patriot searches 2025 survey; source selections overlap 74.9% (ALTA / ndp analytics, March 2026)

Which curative tasks create coordination difficulties?

These shares identify significant pain points reported by title professionals. Answers overlap: they do not describe the percentage of homes with each defect. For workflow design, a useful inference is to give an unresolved item an owner, a status and a place for supporting correspondence. Resolution remains a separate professional task from tracking the item.

Measure Period / scope Reported result and source
Pain point: work beyond underwriting approval 2025 survey; significant pain-point selections overlap 44.1% (ALTA / ndp analytics, March 2026)
Pain point: coordinating payoffs 2025 survey; significant pain-point selections overlap 35.9% (ALTA / ndp analytics, March 2026)
Pain point: accurate information from parties 2025 survey; significant pain-point selections overlap 31.9% (ALTA / ndp analytics, March 2026)
Pain point: paid-in-full letters / lien releases 2025 survey; significant pain-point selections overlap 29.2% (ALTA / ndp analytics, March 2026)
Pain point: finding HOA contacts 2025 survey; significant pain-point selections overlap 28.9% (ALTA / ndp analytics, March 2026)
Pain point: probate documents 2025 survey; significant pain-point selections overlap 27.4% (ALTA / ndp analytics, March 2026)
Pain point: gathering standard file information 2025 survey; significant pain-point selections overlap 13.1% (ALTA / ndp analytics, March 2026)

How are agents digitizing contracts and transaction workflows?

Adoption and effectiveness are different questions. Use the technology research to understand agents’ priorities, then evaluate a specific workflow on what it actually does.

NAR reports that saving time is a primary reason agents adopt new technology
Figure 4: This is a stated motivation, not a measured reduction in the time required to prepare a contract. Source: NAR, REALTORS® Adopt Technology to Save Time and Improve the Client Experience: 2026 Technology Report release, 2026 Technology Report; September 2026. Cropped excerpt of the producer’s publicly shared infographic, prepared 4 November 2026.

What do agents want technology to improve?

NAR distinguishes agents’ reasons for adopting technology from their reports of client reactions. Several motivations can apply at once. A stated goal of less manual work differs from a measured reduction in contract-preparation time. A practical software evaluation can follow a draft through review and revision, checking which information stays connected and which decisions require judgment.

Measure Period / scope Reported result and source
Adoption goal: client experience 2026 survey; agents’ responses 71% (NAR, September 2026)
Adoption goal: closing more deals 2026 survey; agents’ responses 57% (NAR, September 2026)
Adoption goal: less manual work 2026 survey; agents’ responses 54% (NAR, September 2026)
Adoption goal: staying competitive 2026 survey; agents’ responses 44% (NAR, September 2026)
Clients responded very positively, agents report 2026 survey; agents’ responses 40% (NAR, September 2026)
Clients found technology helpful with reservations, agents report 2026 survey; agents’ responses 37% (NAR, September 2026)

Which workflow tools and adoption barriers do agents report?

Electronic signatures appear in the takeaways; these selected rows cover other tools and adoption barriers. Scheduling and contact management serve different tasks, while training and cost affect implementation. Evaluate each part of the workflow separately: preparing a document, collecting signatures, delivering it and keeping its history connected to the transaction.

Measure Period / scope Reported result and source
Tool used: scheduling showings 2026 survey; agents’ responses 68% (NAR, September 2026)
Tool used: CRM 2026 survey; agents’ responses 46% (NAR, September 2026)
Adoption challenge: learning curve 2026 survey; agents’ responses 63% (NAR, September 2026)
Adoption challenge: cost 2026 survey; agents’ responses 59% (NAR, September 2026)

Where does AI fit into document and communication tasks?

The AI-task rows describe agents who use AI. Frequency rows describe surveyed agents more broadly, and the selected categories do not constitute a complete distribution. Drafting correspondence and summarizing a document are also different tasks. These findings describe reported use; reviewing the actual form and accepted terms remains its own step.

Measure Period / scope Reported result and source
AI users: email / follow-up drafting 2026 survey; among agents using AI 52% (NAR, September 2026)
AI users: document review / summarizing 2026 survey; among agents using AI 27% (NAR, September 2026)
AI frequency: daily 2026 survey; surveyed agents; selected categories 23% (NAR, September 2026)
AI frequency: weekly 2026 survey; surveyed agents; selected categories 25% (NAR, September 2026)
AI frequency: occasional experimentation 2026 survey; surveyed agents; selected categories 31% (NAR, September 2026)
Not using AI, with no plans to use it 2026 survey; surveyed agents; selected categories 12% (NAR, September 2026)

Explore OfferSetGo’s supported forms and mapping-readiness labels and the agent answer center when evaluating a contract workspace. Availability varies by form and feature.

What does seller impersonation research reveal about verification?

Verification needs more than an impression that a transaction looks ordinary. The survey distinguishes attempted fraud, commonly encountered characteristics and firms’ detection practices.

Common property targets, ownership characteristics and red flags reported by surveyed title professionals
Figure 5: The original panels show overlapping respondent perceptions of common fraud characteristics; the percentages are not fraud probabilities for those properties. Source: ALTA / Elevated Insights Group, Seller Impersonation Fraud Study: public infographic, Spring 2026 survey; published September 2026. Cropped excerpt of the source infographic PDF, prepared 4 November 2026.

How widespread are reported impersonation attempts?

ALTA compares separate survey samples across years. Prior-calendar-year exposure and prior-month attempts are different questions, each about firms’ experience rather than the share of property sales involving fraud. The current annual-exposure figure is in the takeaways. Earlier exposure and the recent attempt distribution appear below, with their survey periods preserved.

Measure Period / scope Reported result and source
At least one attempt during prior calendar year 2024 survey; prior calendar year: 2023 28% (ALTA / Elevated Insights Group, September 2026)
Prior month: at least one attempt 2026 survey; April 2026 45% (ALTA / Elevated Insights Group, September 2026)
Prior month: exactly one attempt 2026 survey; April 2026 13% (ALTA / Elevated Insights Group, September 2026)
Prior month: exactly two attempts 2026 survey; April 2026 8% (ALTA / Elevated Insights Group, September 2026)
Prior month: three or more attempts 2026 survey; April 2026 23% (ALTA / Elevated Insights Group, September 2026)
Prior month: at least one attempt 2024 survey; corresponding prior-month question 19% (ALTA / Elevated Insights Group, September 2026)

Which property and ownership characteristics are commonly encountered?

Each share combines somewhat common, common and very common responses. Property and ownership characteristics overlap: a vacant property can also have an absentee owner. These are respondents’ perceptions of cases they encounter, rather than fraud probabilities for all properties in a category. They provide context for associating verification with the actual parties and ownership records.

Measure Period / scope Reported result and source
Common target: vacant land 2026 survey; somewhat common / common / very common combined 82% (ALTA / Elevated Insights Group, September 2026)
Common target: vacation homes 2026 survey; somewhat common / common / very common combined 51% (ALTA / Elevated Insights Group, September 2026)
Common target: rental properties 2026 survey; somewhat common / common / very common combined 48% (ALTA / Elevated Insights Group, September 2026)
Common ownership characteristic: absentee owner 2026 survey; somewhat common / common / very common combined 72% (ALTA / Elevated Insights Group, September 2026)
Common ownership characteristic: free and clear 2026 survey; somewhat common / common / very common combined 68% (ALTA / Elevated Insights Group, September 2026)
Common ownership characteristic: recently deceased owner 2026 survey; somewhat common / common / very common combined 55% (ALTA / Elevated Insights Group, September 2026)

Which red flags and detection practices are reported?

The red-flag shares use the same combined commonness categories. They identify reasons for further verification, rather than proof that a sale is fraudulent. The tools average describes firms’ layered detection practices; the multiple-tool share appears in the takeaways. Identity checks and independently verified contact details serve a different purpose from the convenience of a signing interface.

Measure Period / scope Reported result and source
Red flag: seller avoids meetings or calls 2026 survey; red-flag categories overlap 89% (ALTA / Elevated Insights Group, September 2026)
Red flag: mail-away signing / seller-chosen notary 2026 survey; red-flag categories overlap 88% (ALTA / Elevated Insights Group, September 2026)
Red flag: cash transaction 2026 survey; red-flag categories overlap 87% (ALTA / Elevated Insights Group, September 2026)
Average helpful detection tools per firm 2026 survey; red-flag categories overlap 5.3 (ALTA / Elevated Insights Group, September 2026)

What do reported real estate fraud losses show nationally and in Colorado?

Complaint reports describe incidents brought to investigators’ attention. Preserve the crime category, geography and reporting unit when using them to discuss transaction risk.

FBI Real Estate complaint counts for 2023, 2024 and 2025
Figure 6: The original table’s heading and Real Estate row are shown together; intervening crime categories are omitted. These are reported complaints, not proven fraud cases or all closing losses. Source: FBI IC3, 2025 IC3 Annual Report, 2023–2025 complaints; report released April 2026. Two aligned excerpts of the original source PDF table; intervening rows omitted, prepared 4 November 2026.

What does the national Real Estate category include in the totals?

The annual report provides complaint counts and reported losses, including historical comparisons. Its national totals include complaints from outside the United States. Real Estate is a reporting category, with incidents potentially involving other categories too. Preserve the period and label when quoting these figures, and avoid adding overlapping categories into a purported market total.

Measure Period / scope Reported result and source
Real Estate complaints 2025, national report 12,368 (FBI IC3, April 2026)
Real Estate complaints 2024, national report comparison 9,359 (FBI IC3, April 2026)
Real Estate complaints 2023, national report comparison 9,521 (FBI IC3, April 2026)
Real Estate reported losses 2025, national report $275,110,419 (FBI IC3, April 2026)

What does the Colorado victim-side report show?

Colorado’s report separates victim-side measures from subject-side measures. This subsection uses only the Real Estate victim row: its count is in the takeaways and its losses are below. Victim geography differs from the location of a suspect. The state victim label also differs from the national complaint label, so the two counts should remain separate.

Measure Period / scope Reported result and source
Colorado Real Estate victim losses 2025, Colorado $3,843,805 (FBI IC3, April 2026)

How does business email compromise differ from real estate fraud?

Business email compromise spans industries. These figures therefore cover more than home closings and remain separate from Real Estate totals. The national report counts complaints; Colorado reports victim-side measures. The operational inference is to preserve reliable communication and payment-verification procedures around a deal. This research does not measure a contract platform’s effectiveness against fraud.

Measure Period / scope Reported result and source
BEC complaints, all industries 2025, national report 24,768 (FBI IC3, April 2026)
BEC reported losses, all industries 2025, national report $3,046,598,558 (FBI IC3, April 2026)
Colorado BEC victim count, all industries 2025, Colorado 614 (FBI IC3, April 2026)
Colorado BEC victim losses, all industries 2025, Colorado $52,544,123 (FBI IC3, April 2026)

Methodology and Sources

This reference contains 100 distinct, individually cited observations from seven statistical primary documents or datasets. Twelve observations appear in the takeaways and the rest in body tables; figures may illustrate the same evidence. Period comparisons count separately only when their metric, population and period differ. Source checks were completed November 4, 2026. The federal mortgage graph was verified through the public data endpoint used by its JavaScript application; the latest retrieved quarter is 2026 Q2, newer than the indexed page excerpt. Values are rounded to the producer’s two-decimal display precision. Its current-quarterly-filer cohort can change historical results. The source’s quarterly-graph methodology explains this scope.

Survey respondents, reported file workloads, mortgage aggregates, national complaints and state victims remain separate measures. NAR’s monthly comparisons use its table where the accompanying narrative differs. ALTA’s source-use, pain-point and commonness questions allow overlapping responses. The annual-report release month for FBI data is distinguished from the calendar year being reported. Producer concentration groups NAR documents together, ALTA documents together and both FBI documents together. No producer contributes more than forty percent of observations.

The page is written for agents and transaction coordinators evaluating contract workflows. It does not estimate product outcomes or imply that signing technology verifies ownership, approves financing or eliminates fraud. The intended editorial review cadence is monthly, with the original observation periods retained at each review.

Glossary

  • ALTA: American Land Title Association.
  • BEC: Business email compromise, a reporting category covering multiple industries.
  • CFPB / FFIEC: Consumer Financial Protection Bureau / Federal Financial Institutions Examination Council.
  • Conforming / non-conforming: Distinct conventional mortgage categories retained as labeled by the federal source.
  • CRM: Customer relationship management software.
  • Curative work: Work to resolve title defects or outstanding requirements before a file proceeds.
  • FHA / VA: Federal Housing Administration / U.S. Department of Veterans Affairs loan categories.
  • HMDA: Home Mortgage Disclosure Act.
  • HOA: Homeowners association.
  • IC3: FBI Internet Crime Complaint Center.
  • NAR / REALTOR®: National Association of REALTORS® / a member of that association.
  • Quarterly filer: A lender required to file quarterly HMDA data; the graph is not a census of all lenders.
  • SIF: Seller impersonation fraud.

Sources