Underemployment Rate Calculator
Calculate the underemployment rate using official economic metrics
Underemployment Rate Results
The underemployment rate represents workers who are either unemployed, working part-time but want full-time work, or are marginally attached to the labor force.
Comprehensive Guide: How to Calculate Underemployment Rate
The underemployment rate (also known as the U-6 rate in U.S. Bureau of Labor Statistics terminology) provides a broader measure of labor underutilization than the standard unemployment rate. This metric captures not only unemployed workers actively seeking employment but also those who are working part-time for economic reasons and those who are marginally attached to the labor force.
Understanding the Components of Underemployment
1. Unemployed Workers
Individuals who are without work, available to work, and have actively sought employment during the past four weeks.
2. Part-time for Economic Reasons
Workers who would prefer full-time employment but are working part-time because their hours have been reduced or they’re unable to find full-time jobs.
3. Marginally Attached Workers
Individuals who want and are available for work, have looked for a job sometime in the past 12 months, but haven’t searched in the past four weeks.
The Underemployment Rate Formula
The underemployment rate is calculated using the following formula:
Underemployment Rate =
[(Unemployed + Part-time for Economic Reasons + Marginally Attached) / (Total Labor Force)] × 100
Step-by-Step Calculation Process
- Gather the necessary data: Collect statistics on unemployed workers, part-time workers for economic reasons, marginally attached workers, and the total labor force.
- Sum the underutilized workers: Add together the unemployed, part-time for economic reasons, and marginally attached workers.
- Divide by the total labor force: Take the sum from step 2 and divide it by the total labor force.
- Convert to percentage: Multiply the result by 100 to get the underemployment rate percentage.
- Analyze the results: Compare with historical data and economic benchmarks to understand the labor market health.
Underemployment vs. Unemployment: Key Differences
| Metric | Definition | What It Captures | Typical Range |
|---|---|---|---|
| Unemployment Rate (U-3) | Percentage of labor force without jobs who have actively sought work in past 4 weeks | Only officially unemployed workers | 3% – 10% |
| Underemployment Rate (U-6) | Broad measure including unemployed, part-time for economic reasons, and marginally attached | All underutilized labor resources | 7% – 17% |
Historical Underemployment Trends
The underemployment rate typically runs about 7-8 percentage points higher than the official unemployment rate. During economic downturns, this gap often widens as more workers accept part-time positions or become discouraged from job searching.
| Year | Unemployment Rate (U-3) | Underemployment Rate (U-6) | Difference |
|---|---|---|---|
| 2007 (Pre-recession) | 4.6% | 8.3% | 3.7% |
| 2010 (Post-recession peak) | 9.6% | 16.9% | 7.3% |
| 2019 (Pre-pandemic) | 3.7% | 7.0% | 3.3% |
| 2020 (Pandemic peak) | 8.1% | 14.3% | 6.2% |
| 2023 (Recent) | 3.6% | 6.7% | 3.1% |
Why Underemployment Matters
- More comprehensive economic indicator: Provides a fuller picture of labor market health than unemployment alone
- Reflects worker dissatisfaction: Captures those who want more hours or better jobs
- Leading indicator: Often rises before unemployment during downturns and falls later in recoveries
- Policy implications: Helps governments design more targeted labor market interventions
- Wage pressure gauge: High underemployment can suppress wage growth even with low unemployment
Limitations of the Underemployment Rate
- Doesn’t capture quality of employment (e.g., workers in jobs below their skill level)
- May undercount discouraged workers who have completely given up looking for work
- Part-time status is self-reported and subject to interpretation
- Doesn’t account for underutilization of skills in current employment
- International comparisons can be difficult due to different measurement methodologies
How Governments Use Underemployment Data
Policymakers rely on underemployment statistics to:
- Design job training and education programs to help workers transition to better employment
- Adjust monetary policy (interest rates) based on true labor market slack
- Target economic stimulus to regions or industries with high underemployment
- Evaluate the effectiveness of labor market policies over time
- Identify structural issues in the economy that may require long-term solutions
Frequently Asked Questions About Underemployment
Q: How often is underemployment data released?
A: In the U.S., underemployment data (U-6) is released monthly as part of the Employment Situation report, typically on the first Friday of each month.
Q: Can underemployment exist even with low unemployment?
A: Yes, it’s possible to have low unemployment but high underemployment if many workers are in part-time jobs when they want full-time work or are in jobs below their skill level.
Q: How does underemployment affect wages?
A: High underemployment typically puts downward pressure on wages as there’s an excess supply of labor relative to the demand for full-time, quality jobs.
Q: Is underemployment always bad?
A: While generally negative, some underemployment can be voluntary (e.g., students working part-time) or temporary during career transitions.
Calculating Underemployment for Specific Groups
The underemployment rate can be calculated for specific demographic groups to identify disparities in labor market outcomes:
- By age: Young workers often face higher underemployment rates
- By education: Workers with lower educational attainment typically have higher underemployment
- By gender: Historical patterns show different underemployment rates by gender
- By race/ethnicity: Significant disparities exist across racial and ethnic groups
- By industry: Some sectors have structurally higher underemployment
International Comparisons
While most developed countries track underemployment, methodologies vary:
- United States: Uses U-6 measure (unemployed + part-time for economic reasons + marginally attached)
- European Union: Tracks “part-time employment for economic reasons” separately from unemployment
- Australia: Uses a “labor force underutilization rate” similar to U-6
- Canada: Measures “involuntary part-time” and “unmet need for employment”
- OECD: Provides standardized underemployment metrics for member countries
Underemployment and Economic Policy
The underemployment rate influences several key policy areas:
- Monetary Policy: Central banks consider underemployment when setting interest rates to achieve maximum employment
- Fiscal Policy: Governments may increase spending on job creation programs when underemployment is high
- Education Policy: High underemployment may indicate a need for better alignment between education and labor market needs
- Labor Market Regulations: Policies on part-time work, minimum wage, and worker protections are often evaluated using underemployment data
- Social Programs: Unemployment insurance and welfare programs may be adjusted based on underemployment trends
The Future of Underemployment Measurement
As labor markets evolve, so too must our measurement of underemployment:
- Gig economy workers: New metrics needed to capture underemployment in platform-based work
- Skills mismatch: Better measurement of workers in jobs below their skill level
- Automation impacts: Tracking underemployment related to technological displacement
- Remote work: Understanding how flexible work arrangements affect underemployment
- Multiple jobholders: Better capturing those working multiple part-time jobs out of necessity