Most and Least Licensed States: A Data-Driven Ranking
Which states impose the heaviest licensing burden? Using data from the Institute for Justice and NCSL, we rank all 50 states plus DC by occupational licensing burden.
How We Measure Licensing Burden
Occupational licensing burden is multidimensional. It's not just about how many professions a state licenses — it's also about how difficult those licenses are to obtain. Our burden score (0–100) is based on data from the Institute for Justice License to Work (3rd Edition) and the NCSL Occupational Licensing Database, combining:
- Education/training hours required — The average number of hours mandated across licensed professions
- Fees — Application and renewal fees across professions
- Exam requirements — The proportion of professions requiring one or more exams
- Number of licensed professions — States that license more professions have a broader burden footprint
- Criminal background checks — The frequency of mandatory criminal background requirements
The Most Burdened States
These states consistently rank at the top for regulatory burden on working-class professions:
Highest average education hours; licenses nearly every profession in the dataset
Famous for licensing florists and tour guides; high criminal background check rates
High fees; extensive exam requirements across most trades
Remote job market amplifies burden; limited reciprocity options
Broad licensing scope; above-average renewal requirements
Why California Tops the List
California's licensing burden is driven by a combination of factors: high minimum education hours (cosmetologists need 1,600 hours vs. a national median of ~1,000), fees that frequently exceed $200, and the sheer number of professions that require a license. The California Department of Consumer Affairs oversees over 40 licensing boards covering 300+ professions.
This isn't entirely without benefit — California's licensing standards do produce some of the most rigorously trained professionals in certain fields. But critics, including the Institute for Justice, note that many of the lower-stakes licenses (interior designers, home organizers, etc.) add cost without commensurate consumer protection.
Louisiana's Unusual Licensing Profile
Louisiana gained national attention when the Institute for Justice highlighted its licensing of professions like florists, tour guides, and casket sellers. These industries are rarely regulated elsewhere. Louisiana also has some of the most onerous criminal history policies, with more professions denying applicants with any criminal record.
The Least Burdened States
These states take a lighter regulatory touch:
Licenses few professions; those licensed face minimal requirements
Universal recognition law; minimal education hour mandates
Universal licensure recognition law passed 2019; most portable state
Below-average fees and education requirements across the board
Minimal licensing scope; few professions regulated
Arizona's Model: Universal Recognition
In 2019, Arizona became the first state to pass universal occupational licensure recognition. Under this law, any person holding a license from another state who has been actively practicing their profession for at least one year is automatically eligible to practice in Arizona — no additional testing, no additional fees, no waiting period beyond basic application processing.
More than 20 states have since adopted some form of universal recognition, often modeled on Arizona's approach. This has materially improved labor mobility for healthcare workers, contractors, and licensed tradespeople.
Regional Patterns
Licensing burden isn't random — it follows regional patterns:
- Southeast — Mixed. Louisiana is high-burden; Tennessee, Georgia, and South Carolina are medium. Florida is high.
- West Coast — High burden. California, Oregon, and Washington all rank in the top 15 for burden.
- Mountain West — Generally low to medium. Arizona, Wyoming, Montana, and Idaho take lighter approaches.
- Northeast — Mixed to high. New York, Rhode Island, and Connecticut are high-burden; New Hampshire is the outlier.
- Midwest — Generally medium. Varies significantly by state.
The Ongoing Debate
Occupational licensing is a genuinely contested policy area. Defenders argue that licensing protects consumers from incompetent or dangerous practitioners, ensures minimum quality standards, and provides a credential that helps employers and consumers make informed choices.
Critics — including economists across the political spectrum — point out that many licensed professions pose minimal consumer risk, that licensing barriers primarily protect existing practitioners from competition, and that the costs fall disproportionately on low-income workers who can't afford education hours, fees, and the income gap during training.
A 2015 Obama administration report and a 2019 FTC report both called for significant reform. The momentum for universal recognition laws reflects some of that policy influence taking hold at the state level.
What This Means for Workers
If you're choosing where to start a licensed career or considering relocation, state licensing burden matters:
- In high-burden states, expect 6–24 months of training before you can work, plus hundreds of dollars in fees. But once licensed, you have strong credential protection and consumers trust your license.
- In low-burden states, you can get started faster with less upfront investment. Competition may be higher, but barriers to entry are lower for everyone.
- If you anticipate relocating frequently — especially military families — prioritize states in the NLC compact for nursing, PSYPACT for psychology, or with universal recognition laws for your profession.
Data sources: Institute for Justice License to Work (3rd Edition, 2022), NCSL Occupational Licensing Database (2024), state licensing board fee schedules. Burden scores are composite indexes; individual profession requirements vary. See our State Rankings page for the complete data-driven table.
Related Pages
Understanding the Data
The information presented throughout this guide is informed by publicly available public records published by federal and state government agencies. Our database aggregates and standardizes these records to make them more accessible and easier to interpret for general audiences. When we reference specific statistics or trends, they are drawn directly from these authoritative sources unless explicitly noted otherwise.
It is important to understand the limitations of any large-scale data dataset. Records may contain errors from the original data collection process, some fields may be incomplete for older entries, and classification systems may have changed over time. Our analysis accounts for these factors by clearly labeling data vintage, flagging records with missing critical fields, and noting when temporal comparisons span methodology changes in the source data.
For readers who want to conduct their own research, we recommend going directly to the source whenever possible. federal and state government agencies provides detailed documentation on collection methodology, sampling frames, and known data quality issues. Our goal is not to replace primary sources but to make them more approachable and to highlight patterns that may not be immediately obvious when browsing raw records.
How We Analyze Data Records
Our analytical approach involves several steps designed to surface meaningful insights from large datasets. First, we clean and standardize the raw data, handling variations in naming conventions, date formats, and categorical labels. Then we compute summary statistics, distributions, and comparative benchmarks across relevant dimensions such as geography, time period, and category type.
Key metrics we examine include statistical records, geographic distributions, temporal trends. These indicators provide a multi-dimensional view of each entity in our database, allowing users to understand not just individual records but how they compare to peers, regional averages, and national benchmarks. We believe this contextual approach is far more valuable than presenting raw numbers in isolation.
