Research post
The Anatomy
of a Home Sale
How Cash, Conventional, FHA, and VA transactions differ across 39,659 Colorado closings, 2026 year-to-date through July
Financing type is best understood as a summary of a successful transaction pathway: buyer characteristics, property eligibility, seller willingness, location, price, and which contracts ultimately survived to closing.
What the study measures
Four ways a home sale actually happens.
This is an observational study of 39,659 closed Colorado residential listings, reframing buyer financing as a transaction archetype rather than a simple label. Instead of asking whether Cash, FHA, or VA produces a better outcome, it asks what transactions that ultimately close with each financing type actually look like.
The primary analytic sample is 38,270 clean single-category Cash, Conventional, FHA, and VA closings, 97.95% of all closings in the workbook before quality exclusions. The analysis covers price tiers, property form, geography, listing terms, lifecycle and negotiation path, timing after contract, brokerage structure, builder concentration, and selection-adjusted seller outcomes.
Financing type is observed at closing, after offer selection, underwriting, appraisal, and negotiation already happened. Read every figure as a description of the transaction pathway that survived to closing, not as proof that a financing type caused the outcome.
No causal identification is claimed anywhere in this study. Composition is treated as a finding, not noise to be adjusted away.
The financing landscape
02Conventional accounts for 61.5% of the primary analytic sample. Cash represents 19.1%, FHA 12.6%, and VA 6.8%. That statewide mix changes dramatically by price, structure type, geography, HOA burden, age, and listing history.
The bar below shows that split as a single strip. Click a segment to swap in its own median list price, close price, and timing, so the raw scale of each group is visible before the rest of the study starts slicing it up.
Figure 1: Share of the four primary financing groups in the clean analytic sample
Closings
23,523
Median list
$625,000
Median close
$615,000
Median DOM / contract-close
21 / 30
A financing type is also somewhat predictable from the listing itself. The chart below tracks a model's ability to separate the four groups as more context, price, then property, then geography, then condition, then listing terms, then agent and office identity, gets added. Step through the stages to see where the sorting power actually comes from.
Figure 2: Cross-validated ability to distinguish the four financing groups from observable context
The final model reaches a macro AUC of 0.743 and 63.9% classification accuracy, only modestly above the 61.5% majority-class baseline. There is meaningful structural sorting, but far from enough to infer financing from a property with confidence.
Price, property, and the two Cash markets
03FHA is a highly price-concentrated channel: 22.6% of sub-$400,000 closings, but 0.2% at $1.2 million or more. Cash becomes more prevalent again at both ends of the market, at 24.2% below $400,000 and 35.3% above $1.2 million. Treating "Cash buyers" as a single luxury segment is empirically inaccurate. The lines below trace each financing type's share across five price tiers, and Cash is the only one that curves back up at the top.
Figure 3: Financing mix within original-list-price tiers
That U-shape hides two different Cash markets. Below, the same tiers are used to isolate one signature of the split: how often a Cash closing was marked Fixer, compared with Conventional in the same price band.
Figure 4: Fixer prevalence within price tiers, Cash versus Conventional
<$400k
Cash attached
57.3%
Cash Fixer
14.6%
Conventional Fixer
3.1%
$400k–599,999
Cash attached
33.9%
Cash Fixer
6.7%
Conventional Fixer
1.7%
VA is the most detached and family-sized group, at 88.3% single-family with a median 4 bedrooms. Cash has the largest attached-housing share at 26.7% and the highest Fixer share at 5.8%, roughly four times Conventional and FHA. Select a financing type below to see its full property profile: how detached it is, how new, how large, and how often it was marked Fixer.
Figure 5: Broad property and market characteristics by financing group
Housing form sharpens the raw Cash share even further. In mid-rise and high-rise condo buildings, where financing eligibility and buyer pools narrow, Cash and Conventional dominate and FHA and VA barely register, except in manufactured housing, where FHA is unusually common.
Figure 6: Financing share within selected structure types
HOA burden tells a similar story in miniature. As monthly HOA fees climb past $1,000, FHA and VA nearly disappear from the attached-housing market and Cash becomes the plurality, then the majority, buyer.
Figure 7: Financing mix among condos and townhouses by annualized HOA fee band
Even below $600,000, attached homes with $601–$1,000 monthly HOA fees are 45.7% Cash. High HOA burden looks like a distinct financing-selection environment, not just a luxury-price artifact.
Lot size and vintage cut the same way. As lots grow, FHA's share shrinks toward zero while Cash's climbs; the oldest and newest homes each pull toward opposite ends of the financing spectrum. Toggle between the two views below.
Figure 8: Financing mix by lot size among single-family residences
Bedroom count reinforces the same pattern from a different angle: VA's family-housing profile strengthens as bedroom count rises, while Cash is concentrated in the smallest, most likely attached, units.
Financing mix by bedroom count
Geography, terms, and market ecosystems
04FHA concentrates in the northeast and north Front Range. Adams County alone accounts for 23.5% of FHA closings. VA concentrates around Colorado Springs and El Paso County. Cash overrepresentation spans both high-cost resort markets and selected smaller communities. The table below ranks the cities and counties where a financing type closes far more often than its statewide share would predict, filter or search to find a specific place.
Figure 10: Location quotients for cities and counties where a financing type is unusually overrepresented
| Place | Financing | All-four n | Share | Location quotient |
|---|---|---|---|---|
| Peyton | VA | 166 | 38.6% | 5.6x |
| Colorado Springs | VA | 1,747 | 29.4% | 4.3x |
| Fort Lupton | FHA | 169 | 47.9% | 3.8x |
| Bennett | FHA | 111 | 42.3% | 3.4x |
| Evans | FHA | 167 | 41.3% | 3.3x |
| Commerce City | FHA | 687 | 41.2% | 3.3x |
| Monument | VA | 219 | 22.8% | 3.3x |
| Milliken | FHA | 104 | 37.5% | 3x |
| Greeley | FHA | 520 | 32.4% | 2.6x |
| Johnstown | FHA | 240 | 32.1% | 2.5x |
| Summit County | Cash | 260 | 43.9% | 2.3x |
| Salida | Cash | 108 | 41.7% | 2.2x |
| Boulder | Cash | 898 | 41.4% | 2.2x |
| Elizabeth | VA | 232 | 15.1% | 2.2x |
| Chaffee County | Cash | 150 | 37.9% | 2x |
| Estes Park | Cash | 165 | 33.9% | 1.8x |
| Louisville | Cash | 180 | 32.2% | 1.7x |
| Greenwood Village | Cash | 100 | 32% | 1.7x |
| Johnstown | VA | 427 | 11.2% | 1.6x |
VA is the most geographically distinctive group: only 47.7% of VA closings fall inside the seven-county Denver Metro definition, versus 71.2% Conventional. El Paso County alone accounts for 26.9% of all VA closings in the sample.
Listing Terms is one of the few fields that captures an ex ante signal of what financing a listing publicly represented as acceptable, and it strongly sorts the eventual financing mix. The bars below compare the actual FHA and VA closing rate when that term was explicitly listed against when it was not.
Figure 11: Actual closing share when the corresponding financing term was explicitly listed versus not
FHA
Listed
15.85%
Not listed
3.04%
VA
Listed
8.01%
Not listed
2.62%
Listing lifecycle, negotiation, and what happens after contract
05FHA and VA closings also skew toward listings that sat on the market longer before the winning contract emerged. The chart below tracks each financing type's share of closings within a given Days-in-MLS band, from the fastest first week through the slowest quarter-plus.
Figure 12: Financing mix by Days in MLS band at the time the successful transaction emerged
The negotiation pathway is one of the most distinctive findings in the study. A majority of Cash transactions avoid both a price reduction and a seller concession, while FHA and VA disproportionately arrive from listings that experienced both. The plot below places each financing type by how often its closings fell into each of those four combinations, click a point or a card to see its exact split.
Figure 13: Negotiation pathway: price reduction versus seller concession
One more piece of the negotiation picture: how the closing price compared with the final list price, before any concessions are subtracted out.
Figure 14: Share closing at or above the final list price, before concessions
FHA and VA closings finish at or above final list price far more often than Cash, but that gross headline advantage is not evidence of a stronger economic offer once concessions are counted. Timing after contract tells a cleaner story. The panel below toggles between the raw distribution of contract-to-close intervals and a simpler market-to-close proxy that adds market time and escrow time together.
Figure 15: Distributional view of valid contract-to-close intervals
Adjusting for property and market selection strips out most of the apparent Cash speed advantage before contract, but the advantage after contract survives. The diverging bars below show each financing type's adjusted difference from Conventional on three separate timing measures, values to the right of the center line mean slower than Conventional.
Figure 17: Selection-adjusted timing differences relative to Conventional financing
Days in MLS
Time to contract
Days after contract (closing duration)
Cash is not reliably faster to contract after adjustment, but closes 6.6 days sooner once under contract. FHA and VA both remain slower on every timing measure.
Brokerage structure and builder ecosystems
06Cash transactions are substantially more likely to be intra-agent or intra-office, a pattern that persists in resale. VA has an unusually concentrated buyer-representation ecosystem, consistent with specialization around military markets. The chart below compares how often the same agent or office ID shows up on both sides of a closing, toggle to resale-only to rule out builder sales structures as the explanation.
Figure 18: Share of closings with identical buyer/listing agent or office IDs
VA's specialization goes further than shared IDs. Switch between buyer agent, buyer office, and list agent below to see how concentrated the top 10 identifiers are within each financing type, and how many distinct IDs make up the rest of the market.
Figure 19: Top-10 concentration among resale transactions
Cash
4,683
unique IDs
Conventional
9,936
unique IDs
FHA
2,903
unique IDs
VA
1,702
unique IDs
New construction is common across all four groups, but the builders behind it sort sharply by financing type. The table below is searchable by builder name and filterable by FHA or VA, ranked by how overrepresented that builder is relative to its share of the full four-group sample.
Figure 20: Builder-name concentration among records classified as new construction
New construction share
Top-10 builder names, share of financing type
| Builder | Financing | Target n / all-four n | Share | Location quotient |
|---|---|---|---|---|
| LGI Homes | FHA | 43 / 56 | 76.8% | 6.1x |
| Classic Homes | VA | 14 / 53 | 26.4% | 3.9x |
| Other | VA | 15 / 69 | 21.7% | 3.2x |
| Oakwood Homes, LLC | FHA | 98 / 259 | 37.8% | 3x |
| D.R. Horton, Inc | FHA | 165 / 474 | 34.8% | 2.8x |
| Century Communities | FHA | 84 / 255 | 32.9% | 2.6x |
| Meritage Homes | FHA | 61 / 196 | 31.1% | 2.5x |
| David Weekley Homes | VA | 15 / 96 | 15.6% | 2.3x |
| D.R. Horton, Inc | VA | 69 / 474 | 14.6% | 2.1x |
| Risewell Homes | FHA | 15 / 61 | 24.6% | 2x |
| Richmond American Homes | VA | 87 / 646 | 13.5% | 2x |
| Meritage Homes | VA | 22 / 196 | 11.2% | 1.6x |
Selection-adjusted seller outcomes
07The broader anatomy explains why simple financing comparisons are dangerous. The seller-outcome models restrict attention to common-support properties and adjust for a large covariate set before comparing outcomes. The chart below lets you step through each adjusted outcome, gross and net price, timing, concession probability and size, and reduction probability, for Cash, FHA, and VA relative to Conventional.
Figure 22: Adjusted outcome differences relative to Conventional financing
Cross-fitted AIPW estimates with 0.05–0.95 common-support trimming; standard errors clustered by listing agent. Full confidence intervals are in the statistical appendix.
Cash's price story only makes sense as gross and net together. Enter a list price below to see how much of Cash's apparent discount is real once its much lower concession rate is factored back in.
Figure 24: Cash gross-price discount, concession offset, and net difference
Gross price effect
-$8,820
-1.47pp vs Conventional
Recovered via fewer concessions
-$5,160
-40.2pp concession probability
Net difference
-$3,660
-0.61pp vs Conventional
Cash also closes about 6.6 days sooner after contract. This is an arithmetic translation of a reported association at this list price, not a forecast.
FHA and VA run the opposite arithmetic: a flat or slightly better gross price that gets eaten by a higher concession probability. The same list-price input drives both breakdowns below.
Figure 25: Gross-price and concession arithmetic for FHA and VA
FHA
VA
Finally, the Cash net-price effect is not constant across the market. The bars below break it out by original-list-price tier, and the disadvantage that is clear and consistent below $600,000 mostly disappears above it.
Figure 27: Adjusted net close/original-list difference for Cash, by original-list-price tier
The Cash net-price disadvantage is concentrated below $600,000. Above that, confidence intervals increasingly overlap zero, evidence that low-price Cash is a different transaction archetype from high-price Cash.
The archetypes, in plain language
08Financing type at closing is best understood as a summary of a successful transaction pathway: buyer characteristics, property eligibility, seller willingness, location, price, and which contracts ultimately survived. Select a financing type for its full profile, condensing every chart above into the handful of traits that actually describe that group.
- Broad and bimodal by price. Cash is important both below $400,000 and above $1.2 million.
- Disproportionately attached, high-rise, high-HOA, fixer, older, and large-lot in different portions of the market.
- Not materially faster to contract after adjustment, but substantially faster to close after contract.
- Far fewer seller concessions. Nominal price is often lower, but the net gap is much smaller than the gross gap.
- More likely to have the same buyer/listing agent or office ID, even in resale.
Private and Other financing are too small a share of the market to analyze with the same rigor as the primary four, but their raw numbers are worth a look. Private closings in particular carry an outsized Fixer share.
Supplemental financing categories, descriptive only, small samples
| Financing | n | Median OLP | DOM | Contract-close | Fixer | Concession | Denver Metro |
|---|---|---|---|---|---|---|---|
| Private | 191 | $600,000 | 22 | 25 | 20.9% | 27.7% | 77.5% |
| Other | 134 | $580,520 | 35.5 | 33 | 1.5% | 33.6% | 23.9% |
Use "transactions that ultimately closed with FHA were associated with…" rather than "FHA caused…". Financing type is an observed feature of the completed transaction pathway, not a lever a seller can pull.
Statistical appendix
Question and scope. How transactions that ultimately close Cash, Conventional, FHA, or VA differ across the full transaction lifecycle, not which financing type is inherently superior.
Adjustment strategy. Conventional is the reference group. Cross-fitted augmented inverse-probability weighting with 0.05–0.95 common-support trimming. Covariates include price, property, geography, timing, listing terms, agent, and office. Standard errors clustered by listing agent.
Threats to validity. The dataset observes only successful closings. Financing is recorded at closing, after selection, underwriting, and negotiation. Unobserved confounding, including buyer strength, appraisal risk, credit profile, and negotiation strategy, is not fully addressed by adjustment.
Reproducibility. Random seed 20260807. The companion package contains the derived analytic CSV, result tables, figures, extraction and analysis scripts, and the financing-archetype model. Content maintained by REcolorado®, Inc. may not reflect all real estate activity in the market.
Common support and overlap
Figure 21: Maximum retained sample after overlap weighting against Conventional
97.3% overall retained · 98.2% target · 97% Conventional
63% overall retained · 95.4% target · 56.3% Conventional
60% overall retained · 84.2% target · 57.3% Conventional
Full adjusted outcome table
Full adjusted outcome table: every result behind the figures above, with 95% agent-clustered confidence intervals
| Outcome | Comparison | n | Adjusted difference | 95% CI |
|---|---|---|---|---|
| Concession dollars | Cash vs Conventional | 30,007 | -$5,040 | [-5554, -4526] |
| Concession dollars | FHA vs Conventional | 17,838 | +$3,010 | [2627, 3394] |
| Concession dollars | VA vs Conventional | 15,686 | +$1,664 | [1104, 2224] |
| Any concession | Cash vs Conventional | 30,007 | -40.2 pp | [-41.8, -38.7] |
| Any concession | FHA vs Conventional | 17,838 | +13.9 pp | [12, 15.7] |
| Closing duration | Cash vs Conventional | 29,663 | -6.6 days | [-7.3, -6] |
| Any concession | VA vs Conventional | 15,686 | +6.4 pp | [4.1, 8.8] |
| Time to contract | FHA vs Conventional | 17,775 | +4.3 days | [2.6, 6.1] |
| Any reduction | FHA vs Conventional | 17,838 | +4.2 pp | [2.3, 6.2] |
| Days in MLS | FHA vs Conventional | 17,827 | +4.1 days | [2.5, 5.8] |
| Any reduction | VA vs Conventional | 15,686 | +3.2 pp | [0.9, 5.5] |
| Days in MLS | VA vs Conventional | 15,681 | +2.8 days | [0.4, 5.1] |
| Time to contract | VA vs Conventional | 15,584 | +2.8 days | [0.5, 5] |
| Close / final list | Cash vs Conventional | 30,006 | -1.5 pp | [-1.66, -1.33] |
| Closing duration | VA vs Conventional | 15,581 | +1.5 days | [0.5, 2.5] |
| Gross close / original list | Cash vs Conventional | 30,007 | -1.47 pp | [-1.68, -1.25] |
| Closing duration | FHA vs Conventional | 17,773 | +1.1 days | [0.4, 1.8] |
| Time to contract | Cash vs Conventional | 29,667 | +1 days | [-0.4, 2.4] |
| Concession % of close | Cash vs Conventional | 30,007 | -0.88 pp | [-0.94, -0.82] |
| Days in MLS | Cash vs Conventional | 29,998 | +0.8 days | [-0.5, 2.2] |
| Concession % of close | FHA vs Conventional | 17,838 | +0.65 pp | [0.57, 0.72] |
| Net close / original list | Cash vs Conventional | 30,007 | -0.61 pp | [-0.84, -0.39] |
| Any reduction | Cash vs Conventional | 30,007 | -0.6 pp | [-2, 0.9] |
| Net close / original list | FHA vs Conventional | 17,838 | -0.47 pp | [-0.66, -0.28] |
| Close / final list | FHA vs Conventional | 17,838 | +0.4 pp | [0.29, 0.51] |
| Concession % of close | VA vs Conventional | 15,686 | +0.32 pp | [0.23, 0.4] |
| Gross close / original list | VA vs Conventional | 15,686 | +0.3 pp | [0.08, 0.51] |
| Close / final list | VA vs Conventional | 15,685 | +0.27 pp | [0.14, 0.4] |
| Reduction magnitude | FHA vs Conventional | 17,838 | +0.21 pp | [0.06, 0.36] |
| Gross close / original list | FHA vs Conventional | 17,838 | +0.16 pp | [-0.02, 0.34] |
| Reduction magnitude | Cash vs Conventional | 30,007 | +0.05 pp | [-0.08, 0.19] |
| Net close / original list | VA vs Conventional | 15,686 | -0.02 pp | [-0.24, 0.2] |
| Reduction magnitude | VA vs Conventional | 15,686 | -0.02 pp | [-0.18, 0.14] |
Sparse-field coverage
Sparse-field coverage and positive share among known records
Coverage
Positive share among known
Data-quality construction
Analytic sample construction: every exclusion, from the raw workbook to the clean primary-four sample
Limitations and interpretation
- Survivorship and closing selection. The dataset observes successful closings, not rejected offers, failed contracts, financing changes, denied loans, appraisal failures, or buyers who never reached closing.
- Financing is observed at closing. It is therefore not a clean treatment assigned before outcomes. Causal language is inappropriate.
- Listing cohort versus closing cohort. The workbook covers closings through July 2026, but some listings began in prior periods.
- MLS field completeness varies. Property Condition, Builder Name, Home Warranty, and several other descriptive fields are sparse.
- Listing Terms is not a verified underwriting or seller-policy record. Absence of FHA or VA from that field does not prove those terms were rejected.
- Builder names are exact strings and not fully entity-normalized. Builder concentration findings should be interpreted as approximate.
- Same-agent and same-office IDs describe MLS identifiers, not legal agency status, compensation, team structure, or representation duties.
- Days In MLS is the MLS market-time measure, reported separately from calendar contract-to-close dates. The market-to-close proxy adds the two for intuition only.
- Unobserved confounding remains. Strong overlap adjustment cannot control for buyer strength, property defects, appraisal risk, seller motivation, inspection outcomes, loan-to-value, credit profile, or negotiation strategy.
REcolorado® MLS data; analysis and interpretation by Cooper Thayer. Based on information from REcolorado®, Inc. for the period January 2 through July 31, 2026. Not all properties were listed and/or closed by Company. This representation is based in whole or in part on content supplied by REcolorado®, Inc. REcolorado®, Inc. does not guarantee nor is it in any way responsible for its accuracy. Content maintained by REcolorado®, Inc. may not reflect all real estate activity in the market. For non-commercial use only.