Market Intel + Investor Suite | Choice of America

1) Choose City + State

This loads your city snapshot and powers the “Market Score” used by all analyzers.

State

City

County (optional, helps HUD FMR)

HUD token (optional; required for HUD FMR)

FRED api_key (optional; required for FRED)

If you don’t enter HUD/FRED keys, the page still works (Census + OSM). HUD/FRED are free keys and only enhance accuracy.

Location

City: —

County: —

State: —

Population: —

Housing & Income (ACS)

Median household income:

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Median gross rent: —

Median home value: —

Market Score

Rule-based score using affordability, vacancy, renter mix, and rate environment.

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30Y mortgage rate (FRED): —

Vacancy: —

Owner/Renter: —

AI-style notes (rule-based)

Load Market Intel to generate notes.

Residential Rental Analyzer

NOI • Cap rate • DSCR • Cash-on-cash • Break-even rent (uses your Market Intel as context).

Inputs

Purchase price ($)

Monthly rent ($)

Vacancy (%)

Operating expenses (% of rent)

Down payment (%)

Interest rate (%)

Loan term (years)

Other monthly income ($)

Outputs

NOI (annual): —

Cap rate: —

Debt service (monthly): —

DSCR: —

Cash-on-cash (annual): —

Break-even rent (monthly): —

Click “Analyze Residential”.

Commercial Analyzer

NOI • Cap rate • DSCR • CoC • Sensitivity on vacancy and opex.

Inputs

Purchase price ($)

Gross annual income ($)

Vacancy (%)

Operating expenses (% of EGI)

Down payment (%)

Interest rate (%)

Loan term (years)

Amortization (years)

Outputs

EGI (after vacancy): —

NOI (annual): —

Cap rate: —

Debt service (annual): —

DSCR: —

Cash-on-cash (annual): —

Click “Analyze Commercial”.

Industrial / Warehouse Analyzer

Lease-by-SF model: rent/SF/month × rentable SF + NNN estimate.

Inputs

Purchase price ($)

Rentable SF

Rent $/SF/month

NNN reimbursement $/SF/month

Vacancy (%)

Operating expenses (% of EGI)

Down payment (%)

Interest rate (%)

Loan term (years)

Amortization (years)

Outputs

Gross income (annual): —

EGI (after vacancy): —

NOI (annual): —

Cap rate: —

DSCR: —

Cash-on-cash (annual): —

Click “Analyze Industrial”.

Land / Farm Analyzer

Hold-cost model + exit value scenario. (Best for raw land, farms, and long-term holds.)

Inputs

Purchase price ($)

Years to hold

Annual holding costs ($/yr)

Annual appreciation (%)

Exit costs (% of sale)

Down payment (%)

Interest rate (%)

Loan term (years)

Outputs

Projected sale price: —

Total holding costs: —

Debt service paid (est.): —

Net proceeds (after exit): —

Total profit (net - equity - costs): —

Annualized ROI (approx): —

Click “Analyze Land/Farm”.

Tax Liens / Tax Deeds Analyzer

Two scenarios: (A) Redeemed (interest return), (B) Take title (deed) and exit.

Inputs

Bid / Investment ($)

Interest rate (lien) %

Hold months (to redemption)

Chance redeemed (%)

If deed: cleanup/legal costs ($)

If deed: market value ($)

If deed: selling costs (%)

Time to sell (months)

Outputs

Redeemed scenario profit: —

Redeemed annualized ROI: —

Deed scenario net profit: —

Deed annualized ROI: —

Expected value (weighted): —

Click “Analyze Tax Deal”.

Business Sale Analyzer

SDE multiple • Bank/SBA + seller note • DSCR proxy • buyer cash flow.

Inputs

Asking price ($)

Annual revenue ($/yr)

SDE ($/yr)

Down payment (%)

Bank/SBA rate (%)

Bank/SBA term (years)

Seller note (% of price)

Seller note rate (%)

Seller note term (years)

Outputs

SDE multiple: —

Debt service (monthly): —

Buyer cash flow (annual): —

DSCR proxy (SDE/debt): —

Cash-on-cash (annual): —

Click “Analyze Business”.

Neighborhood Pricing (Comps)

Enter a subject address and either (A) paste comps you have (free), or (B) later we can plug in a data provider key (ATTOM/RentCast/etc.).

Subject property

Address

Subject price ($)

Subject living area (sq ft)

Radius (miles)

Comps window (days) (optional)

Open map

Free mode: paste comps below (CSV). The tool will compute neighborhood median $/sf and tell you if the subject is high/low and by how much.

Paste comps (free)

Paste CSV with headers (any order): address, price, sqft, distance. Distance is optional.

Comps CSV

Tip: Export sold comps from MLS, title/escrow sheets, or your own research and paste here.

Results

Subject $/sf: —

Neighborhood median $/sf: —

Neighborhood average $/sf: —

Percentile vs comps: —

Paste comps and click “Analyze comps”.

Amenities around subject (OSM)

Free directory counts near the address (schools, hospitals, cafes, etc.).

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Raw Source Data

Everything we pulled is stored in memory and exportable as JSON.

Census (ACS)

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HUD / FRED / OSM

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