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How we score Texas low income housing programs

What this page covers

This is the methodology behind the Texas Low Income Housing Program Guide, a directory currently covering 143 businesses across the state, from public housing authorities to LIHTC and Section 8 property managers. It explains what our composite score measures, how the pieces are weighted, and where the score should and shouldn't be trusted.

The composite score, in order of weight

Every business in the guide gets a score from 0 to 100, built from five measured signals. We list them here heaviest first because the order tells you what actually moves a score.

  • Sentiment, 28%. A synthesis of what recent reviews actually say, praise and complaints alike, not just whether they're positive or negative but what pattern shows up repeatedly.
  • Rating, 26%. The Google aggregate star rating, the number most people check first.
  • Volume, 20%. How many reviews a business has, log-scaled so ten reviews don't get treated the same as four hundred, but also so a business with hundreds of reviews isn't infinitely rewarded past that point.
  • Recency, 10%. How recently people have actually left reviews. A housing authority that hasn't had a fresh review in two years tells you less about today's waitlist experience than one reviewed last month.
  • Completeness, 16%. Whether basic contact information, phone number, website, hours, and address, is actually listed and accurate.

Why sentiment carries the most weight

Two housing programs can post the identical 4.0 star average. One of them earned it from a broad mix of feedback. The other has a cluster of recent reviews all describing the same problem, unreturned calls, a waitlist that never seems to move, staff who won't return application status updates. The star average hides that pattern completely. Reading what reviews actually say is the only way to catch it, which is why sentiment is weighted higher than the star rating itself. For someone trying to get into an income-restricted apartment, that pattern matters more than a single blended number ever could.

Why the other signals matter

Rating still counts for a lot, it's the fastest signal of overall satisfaction and it's what most renters see first. Volume matters because a program with three reviews and a program with three hundred don't deserve equal confidence in their averages, and log-scaling keeps a handful of reviews from either dominating or being ignored. Recency matters because housing authority operations, waitlists, and staff turnover change over time, so an old review may no longer reflect how the office runs now. Completeness matters for a practical reason: a listing with no working phone number or address isn't useful to someone trying to apply this week, no matter how good its reviews are.

Where the score has honest limits

Businesses with few recent reviews get a low-confidence score, and we label them that way rather than presenting a thin data set with false certainty. We don't republish review text; we synthesize themes from it, and we link out to Google so anyone can read the original source reviews themselves. This guide reflects what's measurable in review data and listing completeness. It isn't a substitute for calling a housing authority directly to check current waitlist status.

Scores are earned, not edited

Every score on this site comes from the rubric above and the underlying data alone. Paid placement, when it exists anywhere on this site, is always labelled as such and never changes a score. Any list where picks or order involved editorial judgment discloses that plainly on the page itself. If a page doesn't say a human reviewed the order, the order came straight from the rubric.

Who publishes this guide

The Texas Low Income Housing Program Guide is published by IncomeBasedApartments.com, founded in 2026. The team behind it is made up of TREC-licensed Texas real estate professionals with more than 20 years of combined experience helping renters work through LIHTC, Section 8, and other subsidized housing programs in Austin, San Antonio, Houston, Dallas, and Fort Worth. The directory exists so renters don't have to call dozens of properties one by one to find income-restricted apartments. Listings are built from published data and checked monthly by agents who work with renters directly, which is meant to keep rankings tied to actual availability and program participation rather than who paid for placement.

Leo Ellis, Managing Editor, oversees the rankings on this site. Questions about a specific score or listing can go to texas@incomebasedapartments.com or 512-615-8806. You can also see our current top picks on the best public housing authorities list, or start from the home page to browse the full directory.

FAQ

How is the 0-100 score calculated?
It's a weighted composite of five signals: sentiment (28%), rating (26%), volume (20%), recency (10%), and completeness (16%). Sentiment and rating carry the most weight because they reflect actual satisfaction, while volume and recency adjust for how much and how recent the underlying review data is.
Can a business pay to improve its score?
No. Scores come only from the rubric and the underlying data. Paid placement, where it exists on this site, is always labelled and never affects the score itself.
Why do some businesses show a low-confidence label?
When a business has very few recent reviews, the average behind its score is less reliable. We label those cases as low-confidence rather than presenting a thin data set as if it were solid.
Do you show the actual review text?
No. We synthesize themes and patterns from recent reviews rather than republishing them, and we link out to Google so you can read the original reviews yourself.