Method and sources
How this survey was run, and what it cannot tell you
Five Central Texas school districts surveyed their employees between February 2025 and August 2026. Two instruments were used: a staff needs assessment covering current housing, cost, commute, preferences and amenities, and a shorter interest-list registration covering household composition, home size and move-in timing. Both were fielded in English, and two districts fielded in Spanish as well.
The eight source files hold 1,948 response rows. Repeat submissions were matched by email address, or by full name where no email was given, within each district and instrument, keeping the most recent. Removing 172 repeats leaves 1,776 distinct submissions: 1,342 staff assessments and 434 interest-list registrations. 152 rows carry no usable identifier and are retained because they cannot be matched to a duplicate. Every figure on this page excludes repeats.
Coverage differs by question, so every figure here is published with the number of responses it was calculated from. Whether a respondent rents or owns was asked directly in three of the five districts. A form variant given to about 36 respondents in one district asked for an affordable rent band in place of home size, so those responses are absent from the bedroom counts rather than estimated. Eighteen interest-list registrants indicated they do not work for the district.
An anonymized version of the harmonized dataset, with a codebook documenting the mapping for every question whose wording differed between districts, is available to public employers and researchers on request. Personally identifying information is removed and free-text comments are screened before release.
Upward Communities develops single-family workforce housing for public sector employers, so a finding that public employees want single-family homes is a finding that suits us. We would rather say that here than have a reader discover it later. What we can offer against it is the method above, the base count on every figure, and the places where we have said the data does not support a stronger claim.