Leander Real Estate (Austin, 2026)

Leander is a suburb-city within the Austin metro, comprising 14 scored census tracts and a total population of 68,601. The population-weighted median home value sits at $430,100, and the Verus-AI model assigns a mean score of 63.57 across all 14 tracts, with a median score of 62.0. Those two figures being relatively close to one another suggests the distribution is not heavily skewed by a small number of outlier tracts at either extreme, though the full range, from a minimum score of 55.0 to a maximum of 78.0, does indicate meaningful differentiation within the market.

The mean 5-year forecast across all 14 tracts is 36.73%, a figure that reflects the Verus-AI model's 2025-2029 horizon. The degree to which a single tract can diverge from the modal forecast is worth noting for investors who are evaluating specific parcels rather than the market in aggregate.

Income trends across the 14 tracts are mixed. Among all 14 scored Leander tracts, the sharpest year-over-year income decline belongs to tract 48491020339, at -9.74%. At the other end of the spectrum, tract 48491020340 recorded income growth of 25.83% year-over-year, a figure that stands out sharply against the broader distribution and warrants scrutiny as to whether it reflects a durable shift in household composition or a more transient measurement artifact.

The Verus-AI score distribution across the 14 tracts shown in the ranked table spans from 55.0 at the 10th percentile to 74.9 at the 90th percentile, with the interquartile range running from 56.8 to 68.5.

At the top of the distribution, two tracts carry B grades with Low risk designations. Tract 48491020337 scores 78 with a current value of $461,100, a median household income of $169,063, and income growth of 7.64% year-over-year. Tract 48491020319 scores 77 with a current value of $393,400, a median household income of $132,848, and income growth of 4.23%. Both carry 5-year forecasts in the range of 36.86% to 37.01%, implying forecast values of $631,072 and $538,992 respectively. The combination of Low risk, B-grade quality, and positive income momentum distinguishes these two tracts from the rest of the ranked set.

The grade distribution across all 14 tracts is worth examining carefully: 2 tracts carry B grades, 1 carries a B-, 2 carry C+, 4 carry C, and 5 carry C- grades. No tract in the ranked set of 14 carries a grade below C-, and no D or F grade appears anywhere in the distribution. Among the 14 tracts shown in the ranked table, the absence of any grade below C- is consistent with a market that has absorbed substantial population growth without producing pockets of severe structural deterioration, though the concentration of C- grades at the bottom of the distribution does indicate that a meaningful share of the market carries below-average fundamentals.

Risk designations present a more cautionary picture. Across all 14 tracts, 7 carry High risk ratings and 5 carry Elevated ratings; only 2 carry Low ratings. The concentration of High risk ratings, particularly among tracts that also show negative income trends, within the 14 tracts shown in the ranked table, is the most consequential pattern in the data for investors focused on downside scenarios. Tract 48491020339, for instance, combines a score of 55, a High risk designation, and an income decline of -9.74%, the sharpest among all 14 scored Leander tracts.

Three of those five, tracts 48491020339, 48491020341, and 48491020321, show negative income growth year-over-year, at -9.74%, -4.44%, and -1.40% respectively. The remaining two in the bottom five show income changes of 0.0% and 3.95%. Tract 48491020341 is also one of only two tracts among all 14 scored Leander tracts with a 5-year forecast below the model's +37.01% cap, at 33.24%, which further separates it from the modal forecast and adds a compounding signal of relative weakness. Rent yield data is unavailable for two tracts, 48453036100 and 48453036000, which limits direct yield comparisons for those positions.

The Verus-AI model identifies five comparable neighborhoods drawn from the Houston, Tampa, and San Antonio metros. The comparables table below presents similarity scores ranging from 97.5% to 98.4%, indicating a tight structural match across all five. Deer Park, also in Houston, follows at 98.2% similarity with a score of 71 and a current value of $352,400.

Among the five comparables, Lutz in the Tampa metro carries the highest Verus score at 77, with a current value of $495,558 and a similarity of 97.7%. That score of 77 is directly competitive with Leander's second-ranked tract, which also scores 77, suggesting that the upper tier of Leander's distribution is broadly in line with the strongest comparable in the set. Bloomingdale, also in the Tampa metro, scores 69 with a current value of $444,800 and a similarity of 98.0%.

The San Antonio comparable, Stone Oak, carries a similarity of 97.5%, a score of 71, and a current value of $443,700. That figure sits above Leander's population-weighted median of $430,100 by a modest margin. Stone Oak is geographically proximate to Leander and may offer the most directly interpretable signal among the five comparables: a structurally similar suburban market in the same state trades at a slight premium to Leander's aggregate median. The gap between the two is relatively narrow, and the comparison does not imply a directional valuation call; it simply indicates that the model finds the two markets structurally similar at current price levels.

One pattern worth noting across the comparables is that none of the five carries a Verus score above 77, and the mean score across the comparable set is below Leander's leading tract score of 78. Investors comparing Leander to these markets should be attentive to the within-market dispersion that the tract-level data reveals, rather than relying solely on neighborhood-level aggregates.

Ten of the 14 tracts carry a Very Low climate rating, and the remaining 4 carry a Relatively Low rating. The modal climate rating across all 14 scored Leander tracts is Very Low. No tract in the scored universe carries a Moderate, High, or Very High climate rating, which is consistent with Leander's inland position within the Austin metro and its distance from coastal and flood-prone geographies.

The absence of any elevated climate rating across all 14 scored Leander tracts is a meaningful structural characteristic, particularly for investors who are increasingly attentive to climate-related holding-period risk in Texas markets.

On the Opportunity Zone front, zero of Leander's 14 tracts carry an OZ designation. This is not unusual for a higher-income suburban market, OZ designations are concentrated in lower-income census tracts, but it does mean that investors cannot access the federal tax deferral and exclusion benefits associated with Qualified Opportunity Fund investments in this geography. Leander's investment case, to the extent the data supports one, rests on its fundamental score and forecast characteristics rather than on any overlay incentive structure.

The Verus-AI scores and forecasts presented here are derived from a model trained on observed home value data spanning 2014 to 2024, with a forecast window covering 2025 through 2029. Scores are expressed on a scale of 0 to 100. The forecast confidence intervals shown in the leading tract chart are 80% intervals, meaning the model assigns an 80% probability that the realized value will fall within the band, and should not be interpreted as guarantees or as the outer bounds of possible outcomes.

For the leading tract, 48491020337, the 80% confidence interval at the 2029 terminal year runs from $551,345 to $722,329, a band width of $170,984. The band width expands from $59,346 in 2025 to that terminal figure, which is a standard property of multi-year probabilistic forecasts: uncertainty compounds over time. The point forecast for 2029 is $631,072, implying a 5-year appreciation of 36.86% from the 2024 observed value of $461,100.

Income figures are year-over-year estimates derived from model inputs and should be interpreted as directional signals rather than precise measurements. The history window of 2014 to 2024 captures a period of substantial price appreciation in the Austin metro, and the model's forecast reflects conditions as of the data vintage; it does not incorporate post-vintage policy changes, interest rate shifts, or supply-side developments that may alter the trajectory. Rent-to-price yield figures are annualized estimates; two tracts, 48453036100 and 48453036000, do not have yield data available, and no yield figure is imputed for them. All figures are model-derived estimates and carry the uncertainty inherent in any quantitative forecast of residential real estate.