State-Level Institutional Capacity Assessment

Louisiana

LA · Gov. Jeff Landry (R) · resource extraction dependent

Groundwork
·

Population

4.6M

GSP

$290B

Total Budget

$48B

Budget / capita

$10,503

Legal Regime

Home Rule

Groundwork · Primary constraint

Establishing civil service continuity and federal-grants management capacity sufficient to direct external resources rather than be directed by them. Louisiana is the textbook Cluster D pattern — highest federal grants share in the country (36.4%), three CIOs in fourteen months, no identified executive-branch CDO, no R4A certification, Volcker C grade, and 70% pension funded ratio. Federal dollars flow through the state apparatus faster than the state can build the institutional muscle to retain and direct them. Every reform pathway (digital, procurement, regulatory) stalls until civil service stability and grant-management infrastructure are established.

01

Governance Architecture

Gubernatorial appointmentbroad
Line-item vetoYes
Budget authorityexecutive
Legislaturepart-time · bicameral
Home rule to localitiesYes
Preemption posture on citiesmoderate
02

Workforce Structure

Civil servicemerit
Public-sector CBlimited
Merit protectionsmoderate
State Hatch analogYes
Total state employees37K
Trajectoryshrinking
03

Fiscal Architecture

Total budget$48B
Revenue mixInc 25% · Sales 28% · Fed 36%
Bond ratingsAa3 / AA / AA-
Rainy day fund8% of budget
Structural balancebalanced
Pension funded ratio70%
Volcker gradeC (FY2018-2020)
04

Scale & Complexity

Population4.6M
GSP$290B
GSP per capita$63,457
Agencies60
Federal grant dependence36.4% of revenue
05

External Environment

Federal funding per capita$14,200
Federal installations4 named
TrifectaR-trifecta
Economic archetyperesource extraction dependent

Petroleum extraction + petrochemical processing dominates the southern coastal corridor (Baton Rouge to New Orleans). New Orleans operates as a distinct fiscal-political entity, with state-imposed Recovery School District lineage shaping state-local relationships in education. Persistent post-Katrina population decline (now stabilizing) drives federal-funding dependence; Hurricanes Ida (2021) and others continue the disaster-cycle pattern. State has highest federal grants share in the nation (36.4% of state/local revenue).

06

Innovation Assets

Innovation markers3 / 8
State CIOEvelina Broussard
Digital service teamLouisiana Office of Technology Services (OTS), Division of Administration (2014)
R4A 2024Not certified
GFOA ACFRYes
NASCIO awards (5y)1
State AI governance policyNo
Performance contractingnone

Peer states share structural profile (cluster, scale, archetype). Peer match is intra-level — states match states.

01

Civil Service Modernization

H2+ · high complexity

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 D (Groundwork)

For Cluster D states, the Recoding America Fund's New Governors playbook applies: triage the top 5 vacancies, fix the worst friction, and use philanthropic capacity-building grants to underwrite the transition. Don't try to rebuild the whole system at once.

H2- absorption risk

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.

02

Federal Grant Strategy

H2 · medium complexity

Building dedicated state capacity to identify, win, deploy, and report on federal grants — competitive applications, formula grant maximization, IRA/IIJA/CHIPS absorption, multi-state coordination, and federal-program negotiation. Draws on Brookings work on state intergovernmental affairs, NGA's federal-state coordination practices, and the Rockefeller Institute Balance of Payments framing.

For Cluster D (Groundwork)

For Cluster D states, this is the highest-leverage move. Federal pass-through dependence + thin internal capacity = trapped state. The Recoding America Fund's New Governors project (NJ + VA initial cohort, expanding 2026) is the prototype intervention.

H2- absorption risk

H1 absorption pattern: a state hires a 'federal grants coordinator' who attends conferences and writes status reports without authority to actually shape inter-agency grant strategy. The H2+ test is whether per-capita federal funding actually increases relative to peers, and whether grants are deployed for transformation versus filling pre-existing budget holes.

03

State Digital Service Delivery

H2+ · high complexity

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 D (Groundwork)

For Cluster D states, use shared services consortia and the Recoding America Fund's multistate innovation infrastructure. Don't build from scratch; join a regional digital service compact.

H2- absorption risk

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.

Population Δ (10 yr)-1.2%
Median household income$57,206
Poverty rate19%
ALICE threshold51%
Uninsured rate8%
Industry diversity48 / 100
Monoeconomy riskhigh
R4A engagementNot certified
Fiscal control board history (cities)2 instances
Bachelor's or higher26%

This is a living diagnostic. Spot something wrong or out of date? Suggest a sourced edit, or add context for other public innovators. Contributions are reviewed before they go live — sourced corrections are applied to the underlying data, improving it over time.

Sources

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.