State-Level Institutional Capacity Assessment
TX · Gov. Greg Abbott (R) · diversified services
Population
30.5M
GSP
$2.40T
Total Budget
$144B
Budget / capita
$4,721
Budget / sq mi
$536K
Legal Regime
Home Rule
Binding Constraint
Systematization · Primary constraint
Building Texas state-government innovation infrastructure at scale to match the world's 9th-largest economy. TX has the rare combination of AAA bond ratings + 17% rainy-day fund (one of largest in nation) + DIR consolidated IT + AI Center of Excellence (2020) + Sauerhoff CIO + Cooke CDO — but R4A 2024 placed TX as Not certified, and the at-will civil service + prohibited collective bargaining + weak merit protections constrain cross-agency systematization. The Cluster B work at TX scale is operationalizing innovation infrastructure across 200+ agencies serving 30.5M residents.
6-Dimension Assessment
Texas's scale (~30.5M residents, world's 9th-largest economy at ~$2.4T GSP) and multi-pole geography defy single-state characterization. Houston (energy + healthcare + Port + NASA), DFW (banking + tech + AA + Toyota North America HQ), San Antonio (military + healthcare + tourism), Austin (Texas Capitol + tech + UT), and the Rio Grande Valley each operate as distinct mid-sized state economies. No state income tax (severance + sales tax + property tax structure). Aggressive state preemption on cities. Massive federal installation footprint (largest US Army post Fort Hood + JBSA + NASA + multiple bases) but federal grants share only 23% of revenue because oil/gas + sales + corporate tax fund state government independently.
Peer States
Florida
Systematizationhigh growth southern
Georgia
Systematizationhigh growth southern
California
Strategic Executiontech economy
Peer states share structural profile (cluster, scale, archetype). Peer match is intra-level — states match states.
Innovation Pathway Recommendations
Building state-level institutional infrastructure for data-driven decision-making across major budget line items and policy decisions. Draws on the Results for America State Standard of Excellence framework, the Pew-MacArthur Results First Initiative, and the state-government adaptations of the J-PAL / Abdul Latif Jameel Poverty Action Lab evaluation methodology applied through state-level offices (Tennessee Office of Evidence and Impact, MN Performance Management, NC Office of Strategic Partnerships).
For Cluster B (Systematization)
For Cluster B states, the target is R4A Honorable Mention → Silver → Gold progression. The certification process itself is the intervention — it systematizes data practices across executive branch agencies in 12-24 months. Build the state Office of Evidence and Impact with dedicated personnel.
H1 absorption pattern: state Office of Evidence and Impact stands up but produces reports no one reads; performance metrics defined by departments themselves, optimizing for legibility rather than impact. Or, R4A certification achieved but practices don't outlive the certification cycle — evaluation office staffed but not influential on actual budget decisions. The H2+ test is whether evidence actually changes the marginal-dollar allocation between programs from one budget cycle to the next.
Establishing and resourcing a state-level digital service team (NJ OOI, CA ODI, GA Technology Authority, MN IT Services, UT OOI, FL Digital Service) to modernize benefits delivery, citizen-facing portals, and inter-agency data exchange. Draws on the USDS / Code for America playbook applied at state scale, the Beeck Center's Digital Government Network (formerly Digital Service Network, merged early 2026), and Bloomberg's What Works Cities adaptation.
For Cluster B (Systematization)
For Cluster B states, stand up a digital service team if absent (5-15 FTE), audit the 5 most-used citizen services, and ship measurable improvements within 12 months. Use the Beeck Center DGN as peer-benchmarking network.
H1 absorption pattern: 'state digital transformation' becomes a multi-year ERP procurement that ports paper processes to PDFs without changing the underlying service experience. Healthcare.gov pre-rescue is the canonical case at federal level; CMS-funded MITA Medicaid IT projects are the state equivalent. The H2+ test is whether the state is building durable internal digital service capacity or just procuring vendor-led platforms.
Restructuring how state government hires, classifies, pays, retains, and advances its workforce. Draws on the federal CHCO Council reform agenda, Recoding America Fund priorities, Beeck Center research on state digital service workforce, and the 30+ states (Maryland, Indiana, Pennsylvania, Colorado, Georgia, Tennessee, others) that have removed degree requirements for state jobs.
For Cluster B (Systematization)
For Cluster B states, target the 10 hardest-to-fill roles, redesign those job classifications, and run a 90-day hiring pilot. A single visible win builds appetite for system-wide reform.
H1 absorption pattern: civil service 'modernization' becomes a fellowship program that brings in technologists for 2 years, then loses them all to private sector and reverts. The H2+ test is whether the underlying classifications, pay schedules, and protections have actually changed for the permanent workforce — not just a graft-on accelerator that the agency culture rejects when grant funding ends.
Cities in Texas (7)
State Community Context
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Data as of Compiled May 2026; USAFacts FY2023 · high confidence
Sources · Data as of Compiled May 2026; USAFacts FY2023 · high confidence
The Civic Infrastructure Diagnostic Framework’s structural elements — the four cluster labels, the six capacity dimensions, and the binding-constraint framing — are licensed under CC BY 4.0. Anyone may use or adapt them with attribution. Tool implementation and full article text © 2026 JTV Advisory LLC.