ZIP 33308 presents a rent–resale split rather than a single market verdict. In June 2026, Zillow ZORI—the ZIP-level typical observed asking-rent index blended across rental types—stood at $2,759, up 4.76% from the same month a year earlier. By contrast, Redfin’s direct rolling-three-month ZIP resale observation ending June 30, a for-sale record rather than rental transactions, put median sold price at $474,893, down 24.5% year over year. It recorded 287 homes sold, 107 median days on market, 602 homes of inventory, up 96.11%, and 6.4 months of supply. Its sale-to-list indicators remain in that resale universe: average sale-to-list was 93.51%, 3.95% sold above list, and the off-market-within-two-week share is another resale-only measure. Annualized ZIP ZORI divided by median sold price produced a 6.97% cross-source screening ratio only. The higher asking-rent reading alongside cooler resale signals is the central tension, not proof about an individual property.
Zillow’s complete rent history shows why an accelerating label needs qualification rather than a prediction. Exact same-month annualized change was 4.76% over one year, 2.32% over three years, and 7.04% over five years. The recent direction therefore confirms a pickup from the medium-term path but breaks from the faster longer-term path. Coverage was 100% across 138 monthly observations. Annualized monthly-return variability came to 3.37%, describing the degree of past movement in the series. In a separate backward-looking test, maximum drawdown reached a 2.54% decline from a prior peak to trough. Transparent national discovery ranks among history-eligible ZIPs were 832 for momentum, 2,118 for stability, and 1,383 for balance, with lower ranks stronger. Complete coverage improves confidence that the past series was observed rather than missing, but variability means one current index snapshot still deserves measured confidence. These are backward-looking measurements, not forecasts or investment recommendations.
Source alignment matters before interpreting the gap. This five-digit label is both the Zillow ZIP market identifier and a matching Census ZCTA; a ZCTA is a statistical area and is not identical to a USPS delivery ZIP. ACS 2024 five-year median gross rent was $1,851 for occupied renter homes, a survey measure that includes selected utilities rather than a current asking-rent quote. FY2026 HUD FMR/SAFMR is an administrative bedroom-specific standard, not asking rent; its local two-bedroom standard is $2,333. The bedroom ladder here consists solely of modelled monthly ZIP estimates that scale ZORI by that local HUD ladder: $2,114 for a studio, $2,248 for one bedroom, $2,759 for two, $3,698 for three, and $4,273 for four. These are modelled estimates, never measured bedroom rents, so neither they nor HUD standards are listing comparables.
Affordability becomes an arithmetic comparison, not a leasing judgment. Applying a 30% rent-share screen to the ZIP asking index produces required annual income of $110,360. The matched ZCTA ACS five-year median household income was $93,879, and translating annualized ZORI against that household-income estimate gives 35.27%. The calculation is not advice and is not an applicant qualification rule; it omits the circumstances that determine any household’s actual payment capacity. Separately, ACS estimated that 2,448 of 4,051 renter households, or 60.43%, paid at least 30% of gross income toward gross rent. That burden statistic describes surveyed occupied renter households, not a particular unit, lease, household, or currently advertised rent.
All-housing vacancy adds a second aggregate caution. In the matched ACS ZCTA five-year stock picture, 35.00% of housing units were vacant, including 6,778 units classified as seasonal. That classification means the all-stock vacancy figure cannot be translated into a count of rentals available at a given moment or into evidence about any specific residence. The stock also contained 14,186 large multifamily units and 6,142 single-family units, showing that the area’s housing inventory spans distinct structural categories. These counts do not identify unit condition, bedroom mix, lease terms, furnishing, accessibility, current advertising, or the rent an owner would accept.
Wider geographies place the ZIP reading in context without replacing it. The Fort Lauderdale city context Zillow asking-rent value was $2,793.624, the Broward County context Zillow asking-rent value was $2,517, and the Miami-Fort Lauderdale-Pompano Beach, FL metro context Zillow asking-rent value was $2,695. Each is a city, county, or metro context value—not a ZIP rental comp—and each needs its named scope retained. Fort Lauderdale city context and Broward County context had higher renter shares and lower all-housing vacancy rates than the matched ZCTA, while the metro context rent-to-income reading was higher. Metro apartment vacancy and apartment marketing time use an apartment universe, not the ZCTA’s all-housing stock universe. Those comparisons explain relative scale only; they do not alter the direct ZIP asking index, survey results, or resale observation.
The resale record challenges a simple favorable reading of the rent history and affordability arithmetic. A rising ZIP asking index and a positive recent history do not erase the direct resale observation’s lower year-over-year median price, expanded inventory, reported marketing interval, and average discount from list. Conversely, the sale record cannot refute or verify a rent quote because it contains purchases, not leases. The annualized-rent-to-sale-price screen is a static cross-source relationship between an index and a rolling median, with different underlying property mixes. It does not measure expenses, financing, closing costs, property condition, or the economics of a specific asset. No causal link between the rent series and resale signals is supplied.
An address-level interpretation requires checks that the aggregate sources cannot provide. Confirm the actual USPS delivery ZIP as well as its ZCTA match; identify the dwelling’s bedroom count, building type, and whether its rent is furnished or includes utilities, fees, concessions, or a particular lease term. Match a current advertised quote to the relevant bedroom model only as a modelled benchmark, not as a measured comp. For a resale comparison, verify the property type, closed-sale timing, listing terms, physical condition, and whether the sale sample resembles the address. Finally, separate seasonal or otherwise vacant stock from units genuinely marketed for rent. Which source and scope actually describe the address under review?
","findings":[{"body":"The highest-salience signal is disagreement across present datasets: asking rents advanced while the rolling resale sample registered lower median sale pricing and looser transaction conditions. That disagreement is not an error to average away. Rental quoting and for-sale liquidity answer different questions, and the screening relationship between them remains descriptive rather than asset-specific.","title":"Rent–resale divergence"},{"body":"Zillow, ACS, and HUD each use a distinct evidence universe. The asking index summarizes observed rental offerings across types, the survey reports occupied renter homes with selected utilities, and the administrative schedule sets bedroom standards. The bedroom figures in this report are scaled model outputs from the local HUD relationship. They are not observations of listings, executed leases, or particular units.","title":"Separate rent universes"},{"body":"Income, burden, and vacancy measures identify aggregate conditions rather than an eligibility decision or a unit-level fact. The required-income figure mechanically applies a fixed rent-share convention to the ZIP asking index, while burden comes from surveyed renter households. Vacancy covers all stock and includes seasonal categories. None establishes a specific residence’s rent, availability, expenses, or payment burden.","title":"Aggregate affordability and vacancy limits"},{"body":"Complete rent-history coverage permits a useful backward-looking comparison of near, medium, and longer paths, but the current reading remains one index snapshot. Variation and drawdown describe how the historical series moved, while discovery rankings provide transparent relative placement among eligible ZIPs. None of those measures predicts the next rent print, resale outcome, or property-level result.","title":"History informs context, not projection"}],"risks":["The reported asking-rent level is an index spanning rental types, so it may not match a given dwelling’s lease term, furnishings, utilities, concessions, condition, or availability at the time of inquiry.","ACS estimates describe a statistical ZCTA over a multi-year survey period, whereas a delivery address follows USPS ZIP assignment; survey medians and burdens cannot serve as current unit quotes.","High all-housing vacancy includes seasonal stock and does not establish that comparable rentals are currently offered, habitable, unencumbered, or priced near the ZIP index for a specific search.","Resale metrics use a rolling ZIP sales sample and the screening ratio combines separate sources, so neither establishes transaction costs, operating expenses, financing terms, or asset-specific outcomes."],"qa":[{"a":"Each measure has a different universe and construction. Zillow summarizes typical observed asking rents across rental types; ACS surveys occupied renter homes over its multi-year period and includes selected utilities; HUD sets administrative bedroom standards. Consequently, a gap among them is an expected source difference, not a direct contradiction or a unit-level quote.","q":"Why do the asking index, gross-rent survey median, and HUD standard differ?"},{"a":"The sale observation is a rolling ZIP sample of completed for-sale transactions, whereas ZORI is an asking-rent index. Dividing annualized ZORI by a median sale price creates a cross-source screen with no property matching. It leaves out costs, terms, condition, and timing, so it cannot describe the economics of a particular property.","q":"Why cannot the rent-to-sale-price screen describe property economics?"},{"a":"Complete coverage supports confidence that the reported historical changes, variability, and drawdown were calculated from a continuous ZIP series rather than a sparse fragment. It does not make the current value permanent. The different horizon results already show that recent direction can differ from the longer path, so the measurements remain retrospective.","q":"How should the historical rent series affect confidence in the current reading?"},{"a":"Confirm the delivery ZIP and ZCTA correspondence first, then obtain current property-specific asking terms, bedroom configuration, building type, furnishing, utilities, fees, concessions, and availability. For resale comparison, identify comparable property type and transaction timing. Those checks determine whether broad ZIP, survey, HUD, and resale evidence has any address-level relevance.","q":"What checks are needed before applying these ZIP figures to an address?"}],"sources":[{"key":"apartment_list_time_on_market","name":"Apartment List Time on Market — listing liquidity","release":"Apartment List 2026-07","pulledAt":"2026-08-08","url":"https://www.apartmentlist.com/research/category/data-rent-estimates"},{"key":"apartment_list_vacancy","name":"Apartment List Vacancy Index — rental vacancy","release":"Apartment List 2026-07","pulledAt":"2026-08-08","url":"https://www.apartmentlist.com/research/apartment-list-vacancy-index-methodology"},{"key":"census_zcta_facts","name":"Census ACS five-year — ZCTA housing and income","release":"ACS 2024 5-year ZCTA","pulledAt":"2026-08-08","url":"https://api.census.gov/data/2024/acs/acs5.html"},{"key":"hud_zip","name":"HUD USPS crosswalk and Small Area FMRs — ZIP rent fallback","release":"ZIP-CBSA 2025Q4 + SAFMR 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