U.S. employee happiness gap exposes hidden labor market risk: BambooHR

NEW YORK, UNITED STATES — A comprehensive analysis of 2025 workforce data reveals employee happiness levels in the United States are polarized, with a 40-point gap separating the most and least happy states.

A study by HR platform BambooHR examining Employee Net Promoter Scores (eNPS) finds no clear regional, income, or political patterns to explain the disparity. Instead, it uncovers a predominant hidden risk in the labor dynamic: unhappy employees feel unable to leave their jobs.

Employee happiness defies state and income patterns

Indicatively, four states with the poorest eNPS—Idaho, Utah, Connecticut, and New Hampshire—are also, at the same time, among the 10 happiest states in the general list of WalletHub.

As the report notes, “A generally happy state doesn’t necessarily produce happy employees.”

This disconnect suggests that positive workplace sentiment cannot be predicted from external environmental factors.

It is not possible to expect that high incomes, a particular mix of industries, or even a state’s reputation for the well-being of its residents will create a happy workforce.

The discussion highlights that the motivators of employee satisfaction are highly multifaceted and internally oriented, and that organizations need to go beyond general geographic or economic generalizations.

Four labor market realities behind morale by U.S. state

Worker sentiment is profoundly shaped by local labor conditions, with the interplay between eNPS and turnover data revealing four distinct state typologies: 

• Ideal Stability: The best scenario is so-called ideal stability, observed in states such as Rhode Island, Maine, and Hawaii, where employee satisfaction is high, and turnover is below average. 
• Dynamism: States with high turnover and high satisfaction, which describe dynamism, are mostly in the South, which implies a mobile and opportunity-seeking group of workers.
• Hidden Risk: The most notable is that the hidden risk category is the largest, comprising 18 states, such as California, Vermont, and North Dakota.
• Acute Attrition: The data reveal a problematic but less common form of acute attrition, in which states like Nebraska, Delaware, and Missouri face the dual pressures of low employee satisfaction and high turnover.

In this case, employee satisfaction below the average, combined with low turnover, indicates that workers remain in dissatisfying positions due to structural factors, such as a slow job market or high living expenses.

This poses a latent risk of declining morale and possible large-scale exits in the event of an economic shift, as a caution to employers that low churn levels are not a sign of health.

As the report notes, “For people leaders, the stakes are high: misunderstanding employee happiness can result in false confidence and costly surprises.”

Why low turnover can mask deep dissatisfaction

The report emphasizes that people leaders need to integrate sentiment information with broader structural context to interpret and examine retention, risk, and morale.

The report suggests that “by moving beyond internal data and analyzing how your organization is performing within a broader ecosystem, you build a more complete picture of your labor market.”

For example, low-turnover states appear stable in the federal job reports, but they mask a high level of employee dissatisfaction, as shown in the hidden risk category.

This requires HR experts to conduct extensive benchmarking to understand their organization’s position in the broader labor ecosystem.

When contextualizing internal eNPS data with state-level trends and turnover patterns, companies can diagnose the real issues, distinguishing between healthy mobility and potential danger.

It is presented as a holistic strategy that is fundamental to establishing sustainable workplaces and makes employee happiness a predictor of future stability, not just a current feeling.

“Employee happiness isn’t just a reflection of how people feel today. It’s an early indicator of tomorrow. Organizations that take the time to contextualize satisfaction data—rather than react to it in isolation—will be far better positioned to build workplaces that are not only stable, but genuinely sustainable,” the report concludes.