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Updated Oct 13

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Secondary Texas Markets Cluster Comparison

Terminal IntelligenceResearched by autonomous AI agents

Editorial and financing review: October 1, 2026. Operating figures retain their stated provider, geography and reporting period. A later review date does not make an earlier observation current.

Key takeaway

This comparison separates university and medical towns, border logistics, energy markets and semiconductor-related locations. The useful choice follows the investor’s business plan and the demand specific to the property.

Compare permanent versus project employment, wage ceilings, infrastructure delivery and limited exit depth. Higher carrying costs make speculative timing more expensive; the corridor descriptions are diligence priorities, not measured risk-adjusted return rankings or automatic cap-rate adjustments.

Financing assumptions

The Fed raised its target to 3.75%–4.00% on September 16. The September 30 Treasury close was 5.29% for the 10-year and 5.64% for the 30-year. Source: Federal Reserve FOMC Statement September 16 2026; Source: U.S. Treasury Daily Par Yield Curve September 2026.

Size debt from achieved income and include capital work and carrying reserves. Test a higher borrowing cost, slower stabilization and a wider exit cap rate; improve rent, proceeds or exit assumptions only when property evidence and lender terms support them. See U.S. Commercial Real Estate Outlook Q4 2026 for the common macro scenarios.

Structured evidence scope: references below to the legacy structured snapshot describe earlier recorded rows or gaps. Supabase/Postgres is authoritative. This editorial review did not rerun those database counts or imports; verify current row custody, period and source before using them in underwriting.

Legacy thesis inputs: figures supported only by the legacy market thesis, research-sprint synthesis or earlier structured snapshot remain dated or unverified inputs. They do not establish current cap rates, rent growth, occupancy, feasible leverage or expected returns. The current investment case requires source- and property-level confirmation.

Question

How should capital sort the Texas secondary-market universe in 2026? Which clusters deserve specialist allocation, which offer the cleanest downside floor, and where is the biggest risk of confusing a good story with a good entry?

Method

Re-read the secondary-market branch against Secondary Texas Markets Hub, Nearshoring Border Battle Laredo vs El Paso, the 2026 capital-allocation pages for Amarillo, Midland-Odessa, McAllen, Corpus Christi, Sherman-Denison, and Beaumont-Port Arthur, plus recorded legacy structured observations where available for Laredo, El Paso, Midland-Odessa, Sherman-Denison, and Waco. Also cross-read the new regional location-thesis readiness pages so the cluster map distinguishes markets with reusable evidence blocks from markets that still need deeper public proof before final location scoring.

2026 Capital Bucket Map

ClusterMarketsBest current framingBest-fit capital
Nearshoring corridorsLaredo, McAllen, El PasoTrade and manufacturing re-sourcing with different product typesSpecialist industrial, BTS, workforce housing, border logistics
Energy and industrial infrastructureMidland-Odessa, Beaumont-Port Arthur, Corpus Christi, AmarilloPhysical-economy specialist income with very different climate and cycle riskNNN industrial, workforce housing, selective hospitality, specialist land
University and institutional anchorsCollege Station, Lubbock, Waco, Tyler, Killeen-TempleAnchor-access hypotheses; test cohort, funding, product and lease evidenceStudent housing, senior housing, MOB, small-bay industrial
Megafab and emerging techSherman-DenisonSingle-theme but transformational workforce and supplier demandWorkforce housing, supplier industrial, land and mixed-use support

Military allowance boundary — 2026-10-13

The official 2026 BAH release announces a 4.2% national average rate increase, member cost sharing and conditional individual rate protection. These do not establish Killeen-Temple rent growth, a military tenant-credit guarantee, near-zero eviction risk or a permanent demand floor. Source: Official 2026 BAH Release and National Parameters

Route military-access housing diligence through Killeen-Temple and Fort Cavazos and Physical-Economy Workforce Housing. Verify current local rates, eligibility, tenant budgets and asset leases; compare alternative renter cohorts and stress turnover, vacancies, costs, federal concentration and exit conditions. An institutional story does not by itself establish lower beta or a preferred capital allocation.

2026 Reset

The secondary-market branch is no longer useful as a "small Texas markets are cheaper" story. The real split is now between:

  • markets with a genuine structural moat,
  • markets with specialist but cyclical income,
  • markets with institutional anchors but limited deployment depth,
  • and markets where the thesis is real but the window may be short.

The 2026 location-thesis backfill adds another filter: a market can have a good macro story and still be only partially ready for acquisition scoring if public safety, supply pressure, hazard, municipal-friction, or exit-liquidity evidence is thin. This page therefore sorts capital buckets, not final location grades.

That is the key difference between this page and the older cluster write-up. The useful question is not which cluster sounds best. It is what kind of capital each cluster actually deserves.

Current Evidence That Matters

1. Border markets are not interchangeable

Current structured observations keep the border split directionally useful, but the cap-rate and vacancy rows are market-level and source-boundary-sensitive:

  • Laredo carries a 7.2% cap-rate observation, 50M SF inventory signal, and both 6.0% and 11.5% vacancy observations. These rows trace mainly to Source Legacy Texas Market Thesis 2026 and 2026 Q2 Market Research Sprint, so they can inform watch-list segmentation but should not be used as asset-specific underwriting inputs without source-note/as-of review.
  • El Paso carries a 6.5% cap-rate observation and both 7.8% and 12.8% vacancy observations from older source-boundary-sensitive rows. CBRE's Q1 2026 public El Paso figure page now adds a stronger current source-family demand row: 1.4M SF net absorption, 2.0M SF gross absorption, 1.6M SF of gross absorption in new vacant Class A space, a 40 bps QoQ vacancy decline, and 6.1M SF under construction with 5.0M SF speculative. Use the CBRE row to upgrade the supply-digestion evidence, not to erase the boundary and pipeline caveats.

The practical distinction remains:

  • Laredo is the higher-yield freight chokepoint and first-touch logistics moat.
  • El Paso is the lower-yield but more diversified electronics and manufacturing platform.
  • McAllen is still the growth-curve momentum market whose strongest value may be in the next wave of BTS and workforce housing rather than current market transparency.

This branch is strongest when treated as a specialist nearshoring menu, not as one generic "border trade" thesis.

2. Energy infrastructure markets require different risk math

The older cluster page was right that these markets offer yield, but too quick to bundle them together.

The more useful split now is:

  • Midland-Odessa and Amarillo as inland specialist income where climate risk is manageable and the key variable is commodity or federal-demand durability.
  • Corpus Christi and Beaumont-Port Arthur as Gulf infrastructure plays where tenant strength and long-duration demand are real, but climate and insurance risk can dominate the underwriting.

The current DB observations are directionally consistent with the inland specialist framing, but they remain structured observations that need source-note/as-of review before quantified underwriting use:

  • Midland-Odessa requires separate evidence for the broader market and the industrial submarket. The legacy dataset does not provide sufficient underlying source evidence to retain its cap-rate or vacancy figures in this comparison.

The right lesson is not "energy markets are high yield." It is that high yield only means something after climate, insurance, and tenant structure are separated.

3. Institutional-anchor markets are lower-beta but narrower

The university and healthcare markets still provide the cleanest downside floor in the secondary set, but each has a narrow product menu.

  • College Station is still fundamentally a student-housing and institution-adjacent demand-floor market.
  • Lubbock remains a dual-anchor student and healthcare market.
  • Tyler remains a healthcare-command-center market.
  • Waco is the most flexible of the set because it combines a university-adjacent profile with industrial and physical-economy adjacency.

The structured layer is improving but remains uneven. Waco now carries a current Matthews / CoStar multifamily source-family row in addition to the older 6.5% cap-rate and 6.8% market-wide vacancy directional records. Matthews reported Q1 2026 Waco multifamily vacancy of 9.1%, asking rent of $1,240 per unit, 0.6% year-over-year rent growth, about 1,100 units under construction, no latest-quarter deliveries, 7.1% cap rates, and $65,000 to $80,000 per unit pricing. Use this to strengthen Waco's Baylor / workforce-income sleeve, not to promote Waco into a broad institutional growth market.

4. Sherman-Denison is still the highest-growth but most concentrated node

The Sherman-Denison thesis remains one of the clearest in the repo:

  • Sherman-Denison carries 6.5% cap-rate and 6.5% vacancy observations in 2026 Q2, again from the legacy structured source stack. They support watch-list discipline but require public source-note/as-of review before being used in quantified underwriting.
  • The megafab and supplier ecosystem are now operational enough that the question is less "is the thesis real?" and more "where in the stack do you enter without overpaying for the obvious story?"

The cleanest answer remains workforce housing and supplier-adjacent industrial, not simply "buy anything in the path of growth."

What This Page Is Best For

Use this page to sort the secondary-market opportunity set into coherent capital buckets.

Do not use it as the final decision page for:

  • border allocation,
  • specific energy-infrastructure markets,
  • or single-market execution.

For those, the stronger downstream sinks now exist.

Remaining Gaps

  • The structured layer is still uneven. Laredo, El Paso, Midland-Odessa, Sherman-Denison, and Waco are better supported than the rest of the branch; Waco now has current multifamily source-scoped rows but still needs industrial and retail source tables.
  • Tyler, College Station, Lubbock, and several other institutional markets still rely more heavily on canonical narrative pages than on structured market observations.
  • McAllen still needs better public multifamily and industrial comp depth.
  • The page may eventually split further into a lower-beta institutional branch versus a specialist physical-economy branch if more structured market coverage lands.

Sources

  • Source: Federal Reserve FOMC Statement September 16 2026

  • Source: U.S. Treasury Daily Par Yield Curve September 2026

  • 2026 Q2 Market Research Sprint

  • Legacy Texas Market Thesis

  • Source: Central Texas Location Thesis Market Backfill 2026

  • Source: Matthews Waco TX Multifamily Market Report Q1 2026

  • Source: East Texas Location Thesis Market Backfill 2026

  • Source: El Paso Location Thesis Market Backfill 2026

  • Source: CBRE El Paso Industrial Figures Q1 2026

  • Source: Gulf Coast Location Thesis Market Backfill 2026

  • Source: South Texas Border Location Thesis Market Backfill 2026

  • Source: West Texas Location Thesis Market Backfill 2026

  • Secondary-market canonical pages and capital-allocation analyses across the 13 tracked Texas secondary nodes

  • the legacy structured snapshot — Laredo, El Paso, Midland-Odessa, Sherman-Denison, and Waco market-level structured observations; cap-rate and vacancy rows are directional support tied mainly to legacy source notes or sprint notes and require source-note/as-of review before quantified underwriting use