Project Collaboration Notes
Macro-Micro Overview
Macro-Micro Economy
The Tampa-St. Petersburg-Clearwater Metropolitan Statistical Area (CBSA) has a robust and diversified economy fueled by several high-growth sectors. Major economic drivers include financial and professional services, healthcare and life sciences, information technology, and tourism. Supported by a skilled workforce and favorable business climate, the area has attracted numerous large companies and corporate headquarters. The region also leverages strong infrastructure, including a busy international airport and the largest port in Florida, to bolster its logistics, distribution, and manufacturing industries. This diverse economic landscape has positioned the Tampa Bay metro area as one of the fastest-growing and most resilient economies in the country.
Macro-Micro Transportation
County Overview
ZCTA Demographic Overview
Market Identification Methodology
Land Valuation
The tables below summarize observed market data (Land Listings) within the defined search
radius and are intended to provide context regarding current supply characteristics, pricing
behavior, and development patterns. The distribution of listings across size, price, acreage, or
income ranges may indicate prevailing demand thresholds, market segmentation, and areas of
relative scarcity or concentration. Higher concentrations in certain ranges can reflect where
market activity is most active, while limited representation in other ranges may suggest
constrained supply, longer absorption timelines, or elevated execution risk. Pricing metrics
shown represent asking levels or observed positioning at the time of analysis and should be
viewed as indicative rather than definitive. Users should evaluate the data alongside local
zoning, utility access, entitlement status, competitive supply, construction and development
costs, and anticipated absorption. Market conditions, buyer preferences, and development
strategies can evolve over time, which may materially impact outcomes. Accordingly, the tables
are best used as a framework for understanding market dynamics and informing scenario-based analysis rather than as standalone indicators of value or performance.
Land Listings - Acreage Range Count
Land Listings - Acreage Range Avg Price Point
Residential New Home Lot Valuation Residual Analysis
| Sub Market (New Home Listings) |
Anticipated Dev. Lot Ratio By Frontage Feet |
| Description |
Value |
25' |
40' |
50' |
60' |
70' |
| Count |
|
|
|
|
|
|
| Avg BSF |
|
|
|
|
|
|
| Avg Asking Price |
|
|
|
|
|
|
| Rural Lot Ratio (17%) |
|
|
|
|
|
|
| Transitioning Lot Ratio (22%) |
|
|
|
|
|
|
| Infill Lot Ratio (27%) |
|
|
|
|
|
|
Note: This is not an appraisal, and users must provide their own insight into actual valuation and yield.
| Sub Market (Land Listings) |
Ant. Price Per Unit Based Upon Typ. Density |
| Description |
Value |
8 UPA |
2 UPA |
3 UPA |
4 UPA |
| Count |
|
|
|
|
|
| Avg Acres |
|
|
|
|
|
| Avg Asking Price |
|
|
|
|
|
| Avg Asking Price Per Acre |
|
|
|
|
|
Note: This is not an appraisal, and users must provide their own insight into actual valuation and yield.
Infill markets generally exhibit the highest developed lot allocations, typically ranging from 27%
to 30%, due to limited land availability, strong demand, and significant barriers to new supply.
These locations often involve redevelopment, parcel assemblage, or rezoning, which can
introduce added cost, execution risk, and longer pre-development timelines. While higher
densities may improve land efficiency on a per-acre basis, infill development frequently incurs
elevated acquisition costs, demolition expenses, and regulatory complexity. Construction costs
may also trend higher due to site constraints, urban logistics, and design or zoning
requirements.
The lot allocation ratios reflected in the data capture observed pricing behavior in established,
land-constrained markets and represent gross allocations within the overall home price, not net
land values. Users should apply appropriate deductions for construction costs, soft costs, financing, and required returns to arrive at a supportable land position. Consideration should
also be given to product segmentation, buyer profile, competitive alternatives, and the durability
of pricing over the projected sellout period. Infill projects may derive additional value from
proximity, accessibility, and long-term neighborhood investment, including transit, employment
centers, and public amenities. Given the variability inherent in infill development, the data is
intended to guide interpretation of market dynamics rather than define project-specific
outcomes.
New Home (QMI) Product Segmentation Analysis
New Home Listings - BSF Range Count
New Home Listings - Price Point Range Count
Single Tenant Analysis