State-Level Institutional Capacity Assessment
WY · Gov. Mark Gordon (R) · resource extraction dependent
Population
584K
GSP
$49B
Total Budget
$6B
Budget / capita
$9,418
Legal Regime
Home Rule
Binding Constraint
Anchor-Dependent · Primary constraint
Channeling Wyoming's $9B+ Permanent Mineral Trust Fund + 32% rainy-day fund (highest in US) + coal/gas severance surplus + F.E. Warren AFB nuclear-triad anchor into durable state-government capacity that survives the inevitable fossil-fuel transition. WY has CIO Young + ETS + AAA bond ratings + best-in-US rainy-day cushion — strong fiscal infrastructure. But resource-extraction archetype + 42% severance-tax revenue dependency makes WY the most fossil-fuel-dependent state economy in the US. Cluster C work positions the state to deploy mineral-trust earnings toward economic-diversification and digital service modernization, rather than competing on innovation infrastructure with larger states or pretending the coal economy returns.
6-Dimension Assessment
Wyoming is the smallest US state by population (584K). The economy is overwhelmingly resource-extraction-dependent: severance tax on coal, natural gas, and uranium provides 42% of state revenue (highest in US). Cheyenne (state capital, F.E. Warren AFB, regional services), Casper (oil services), Jackson (tourism, ultra-high-net-worth migration — Teton County has US's highest income inequality), and the energy basin (Powder River, Green River) anchor regional economies. 48% federal land share + Yellowstone + Grand Teton drive federal partnership flows. WY has CIO Young + ETS consolidation + AAA from all three rating agencies + 32% rainy-day fund (highest in US, fed by Permanent Mineral Trust Fund) + no state income tax (Constitutional). Federal-grants dependency (28.7%) is low because severance tax dominates. Gordon R-trifecta.
Peer States
North Dakota
Anchor-Dependentresource extraction dependent
Alaska
Anchor-Dependentresource extraction dependent
Montana
Systematizationrural low density
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 C (Anchor-Dependent)
For Cluster C states, leverage the federal-lab or research-university anchor institution as evaluation capacity. National labs and federal research centers have rigorous evaluation expertise; state-anchor partnerships at the evaluation level cost less than building parallel state capacity.
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 C (Anchor-Dependent)
For Cluster C states, leverage the anchor institution's technical capacity — military bases have IT infrastructure, federal labs have engineers, research universities have CS programs willing to partner.
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.
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.