Engine-derived ROI data from 5 representative Savannah-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 Savannah 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/savannah.json via scripts/run_city_stats.py.
| Property | Neighborhood | Price | Basis | Land % | 5-yr | 15-yr | Reclass % | Y1 fed savings @ 37% |
|---|---|---|---|---|---|---|---|---|
| Historic District Townhome STR SFR · STR · Built 1872 |
Historic District (square-anchored) | $985,000 | $817,747 | 17.0% | $131,164 | $56,057 | 23.3% | $70,504 |
| Victorian District Renovated SFR SFR · STR · Built 1892 |
Victorian District / Thomas Square | $685,000 | $564,303 | 17.6% | $87,824 | $37,460 | 22.6% | $47,117 |
| Starland District SFR STR SFR · STR · Built 1925 |
Starland District | $585,000 | $476,307 | 18.6% | $73,028 | $31,710 | 22.3% | $39,374 |
| Ardsley Park Bungalow SFR · Built 1932 |
Ardsley Park / Chatham Crescent | $525,000 | $435,435 | 17.1% | $36,581 | $30,932 | 15.5% | $24,980 |
| Tybee Island Beach Cottage STR SFR · STR · Built 1998 |
Tybee Island (Chatham County coastal) | $685,000 | $548,206 | 20.0% | $97,836 | $35,352 | 24.7% | $50,167 |
| Engine property type | Fixtures | Median reclass % | Min | Max |
|---|---|---|---|---|
| SFR | 5 | 22.6% | 15.5% | 24.7% |
"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 |
|---|---|---|---|
| Historic District (square-anchored) | $985,000 | ~34% | Heart of Savannah's historic core, 1800s townhomes, carriage houses, and Italianate residences arranged around the city's iconic squares. Highest land allocation due to historic-district scarcity. Renovation-cost-seg drives the math. |
| Victorian District / Thomas Square | $685,000 | ~28% | Late-1800s Victorian and Eastlake stock just south of the Historic District. Heavy post-2010 renovation activity. Mid-tier land allocation. Active STR rental market. |
| Starland District | $585,000 | ~26% | Emerging arts-district neighborhood with 1920s SFR stock undergoing gentrification-driven renovation. Lower land allocation than Historic District. Mix of fix-and-flip and STR. |
| Ardsley Park / Chatham Crescent | $525,000 | ~24% | Historic streetcar-suburb residential south of midtown. 1920s–1940s SFR and bungalow stock. Mid-tier land allocation. Mix of LTR and STR with HOA-free flexibility. |
| Tybee Island (Chatham County coastal) | $685,000 | ~22% | Coastal barrier-island sub-market east of Savannah. Beach SFR and condo stock. Lower land allocation than Historic District. Active beach STR market subject to Tybee's specific STR ordinance. |
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 2024 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.
Georgia partially decouples from federal §168(k). GA historically required an addback for federal bonus depreciation, with the addback amount recovered over the regular MACRS schedule for state purposes. For 2025+ acquisitions under OBBBA's 100% federal bonus, a portion of accelerated reclassification dollars hit a GA-side timing mismatch. At GA's 5.49% flat rate, the absolute dollar impact is modest but real. The federal §168(k) acceleration is unaffected; only the GA Schedule 1 reconciliation is the variable.
Decoupling: Georgia's bonus depreciation conformity has been modified multiple times. Verify current-year treatment with your CPA. The federal deduction is unaffected.
State income tax structure: Flat single rate (reformed from progressive in recent years)
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/savannah.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). "Savannah, GA Cost Segregation Benchmarks 2026." Cost Seg Smart. 5 representative fixtures. Retrieved from https://savannahcostseg.com/data/savannah-cost-seg-stats/
For interview requests, additional data slices, or related questions: [email protected].