Engine-derived ROI data from 5 representative Asheville-area properties. Methodology transparent below. CC-BY 4.0, journalists, CPAs, and researchers may cite this dataset with attribution.
Important framing: These are engine outputs for representative fixture scenarios, not predictions about any specific property. The cost segregation engine takes real property data (address, year built, square footage, renovation history, assessor records) and produces a study tailored to your actual property. The aggregate numbers shown here describe the Asheville market's general profile; your specific results will reflect your specific property.
Each fixture was run through the Cost Seg Smart engine, the same engine that produces real customer studies. Numbers below are reproducible from cities/asheville.json via scripts/run_city_stats.py.
| Property | Neighborhood | Price | Basis | Land % | 5-yr | 15-yr | Reclass % | Y1 fed savings @ 37% |
|---|---|---|---|---|---|---|---|---|
| Downtown Asheville Historic SFR SFR · STR · Built 1905 |
Downtown Asheville / Montford | $685,000 | $553,480 | 19.2% | $89,852 | $37,196 | 23.4% | $47,907 |
| West Asheville Renovated SFR STR SFR · STR · Built 1948 |
West Asheville / Candler | $525,000 | $430,290 | 18.0% | $70,900 | $27,997 | 23.3% | $37,134 |
| Black Mountain Cabin STR SFR · STR · Built 2008 |
Black Mountain | $565,000 | $465,899 | 17.5% | $88,705 | $28,440 | 25.7% | $44,260 |
| Weaverville Modest Cabin STR SFR · STR · Built 2012 |
Weaverville | $485,000 | $394,984 | 18.6% | $76,647 | $24,674 | 26.2% | $38,246 |
| Biltmore Park SFR LTR SFR · Built 2010 |
Biltmore Park / South Asheville | $825,000 | $664,538 | 19.4% | $70,753 | $45,421 | 17.5% | $42,984 |
| Engine property type | Fixtures | Median reclass % | Min | Max |
|---|---|---|---|---|
| SFR | 5 | 23.4% | 17.5% | 26.2% |
"STR" denotes residential property operating as a short-term rental, the engine applies an FF&E density uplift not captured in the LTR (long-term rental) treatment.
| Neighborhood | Typical value | Typical land allocation | Profile note |
|---|---|---|---|
| Downtown Asheville / Montford | $685,000 | ~30% | Historic downtown Asheville and adjacent Montford historic district, 1890s–1920s Queen Anne, Craftsman, and Bungalow SFRs heavily renovated. Higher land allocation due to urban-core scarcity. Walkable to downtown amenities. |
| West Asheville / Candler | $525,000 | ~24% | Mid-century SFR and bungalow stock west of the French Broad River. Strong post-2015 renovation and fix-and-flip activity. Lower land allocation than downtown. Mix of LTR and STR. |
| Black Mountain | $565,000 | ~22% | Small mountain town 15 miles east of Asheville. Cabin and mountain-home STR stock. Lighter regulatory regime than Asheville city. Strong STR demand from Asheville-overflow traffic. |
| Weaverville | $485,000 | ~20% | Buncombe County north of Asheville, lower entry pricing, larger lot sizes. Lower land allocation. Mix of LTR rental and emerging STR cabin product. |
| Biltmore Park / South Asheville | $825,000 | ~28% | Master-planned community south of downtown Asheville. Higher-priced SFR and condo product. Mid-tier land allocation. More LTR than STR given the residential-resident community profile. |
The "typical land allocation" column reflects baseline patterns for each sub-market based on county assessor records and statistical modeling. For specific properties where reconstruction cost (RSMeans 2026 component build-up adjusted for time and geography) exceeds 2.0× the implied depreciable basis after subtracting the baseline land, the engine applies a premium land floor (~50%) to keep the study within audit-defensible territory. This typically affects ultra-premium resort inventory (ski-in/ski-out, beachfront, view-premium properties), where land scarcity premium dominates the purchase price. The per-fixture table above shows the actual land_source used by the engine for each fixture, values of statistical_premium_floor indicate the premium-floor mechanism was applied.
The takeaway: typical neighborhood allocations describe the market baseline. Individual property results depend on specific reconstruction-cost-vs-purchase-price ratios, and ultra-premium product may show higher land allocation in the engine output than the neighborhood typical.
North Carolina partially decouples from federal §168(k) bonus depreciation. NC historically allowed only 85% of federal bonus depreciation in Year 1, with the remaining 15% added back to NC taxable income and recovered over 5 subsequent years on the state schedule. For 2025+ acquisitions under OBBBA's 100% federal bonus, the practical effect is that roughly 15% of the accelerated reclassification dollars are added back on the NC return in Year 1 (then recovered over five years), at NC's 4.5% flat rate, that's a small but real timing mismatch. Federal §168(k) at 100% is unaffected; only the NC-side acceleration is partially deferred.
Decoupling: Verify current-year NC conformity treatment with your CPA, North Carolina's bonus depreciation methodology has been modified multiple times over the past decade, including changes to the addback percentage and recovery period. The federal deduction itself is unchanged; the NC-side reconciliation is the variable.
State income tax structure: Flat single rate, scheduled rate reductions through 2027+
Verify with your CPA. State tax conformity for federal §168(k) is adjusted frequently. Framing reflects our understanding as of May 2026, verify current-year treatment with a qualified tax professional.
Every figure on this page is reproducible. The pipeline:
cities/asheville.json under the engine_fixtures array, each with address, property type, purchase price, year built, square footage, and STR/LTR flag.scripts/run_city_stats.py instantiates a PropertyInput for each fixture and calls engine.run_study(), the same path that produces a real customer study.For full methodology details including QC validation, reconciliation logic, and audit-defense documentation, see costsegsmart.com/methodology.
This dataset is licensed under the Creative Commons Attribution 4.0 International License. You may republish, remix, or extend this data for any purpose with attribution. Suggested citation format:
Cost Seg Smart Research Team. (2026). "Asheville, NC Cost Segregation Benchmarks 2026." Cost Seg Smart. 5 representative fixtures. Retrieved from https://ashevillecostseg.com/data/asheville-cost-seg-stats/
For interview requests, additional data slices, or related questions: [email protected].