What Hiring Data Reveals About Where Recruiters Are Losing Candidates
The average job takes 71 days to fill, and only 61% of job postings result in a hire.
But that average hides a bigger issue. Hiring outcomes are not consistent. Some roles close in a matter of weeks. Others stay open for months, and many never fill at all.
Monster’s new analysis of more than 8.2 million job postings shows a clear divide between roles that move efficiently through hiring and those that struggle to convert.
What this means for recruiters
Hiring challenges are not just about time. They are about fit, supply, and how roles are positioned in the market.
- Some roles fill quickly with predictable outcomes
- Others remain open for 4 to 6 months with no guarantee of a hire
- For the hardest roles, more than half of postings never result in a hire
This means extending time to fill is not always the solution. In many cases, the issue is structural.
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There are two hiring markets
The data points to a consistent pattern. Employers are not operating in a single hiring environment.
High-velocity hiring
These roles tend to:
- Fill in under 60 days
- Achieve fill rates above 70%
- Have larger, more accessible candidate pools
Hiring is more predictable, and most postings result in a successful outcome.
Constrained hiring
These roles:
- Take 3 to 5 months or longer to fill
- Have fill rates below 50%
- Often remain open even after extended effort
In these cases, time alone does not improve results.
Where hiring moves fast
Roles with the highest fill rates share a few characteristics. They are standardized, easier to evaluate, and supported by broader talent pools.
Examples of high fill rate roles
- Sales workers (79% fill rate, ~33 days)
- File clerks and administrative roles (70%+ fill rates)
- Data entry and support positions
- Security and operations roles
These roles tend to follow repeatable hiring patterns, which makes outcomes more consistent.
Where hiring stalls
Other roles show a very different pattern. These are the positions where recruiters and hiring managers are most likely to lose time and see low conversion.
Examples of hardest-to-fill roles
- Lifeguards and recreational workers (35% fill rate, 128 days)
- Veterinarians and optometrists
- OB-GYNs and cardiologists
- Nurse anesthetists and surveyors
Across these roles:
- Fill rates drop to 35 to 45 percent
- Many postings never result in a hire
- Extending the timeline does not significantly improve outcomes
Why this gap exists
The divide in hiring outcomes is driven by a few consistent factors.
Credential and licensing constraints
Specialized roles require years of training, which limits candidate supply.
Pay and working conditions
Some roles struggle to attract applicants even when demand is high.
Geographic mismatch
Candidates are not always located where demand exists, especially for in-person roles.
In these cases, hiring challenges are not about effort. They are about market conditions.
The real opportunity for recruiters
Most hiring strategies assume that more time or more applications will solve the problem.
The data suggests otherwise.
For many roles, improving outcomes requires changing how the role is positioned, marketed, or sourced.
Those that adjust earlier in the process are more likely to:
- Improve fill rates
- Reduce time to hire
- Attract better-aligned candidates
How recruiters should respond
To improve hiring outcomes, focus on what is within your control.
- Re-evaluate how hard-to-fill roles are positioned in the market
- Adjust compensation, requirements, or flexibility where possible
- Improve visibility to reach qualified candidates faster
- Use data to identify where hiring is breaking down
Small changes in strategy can have a measurable impact on performance.
The bottom line
The labor market is not uniform. It is a mix of roles that behave very differently.
Some jobs fill quickly and consistently. Others face ongoing constraints that prevent them from closing at all.
Understanding which type of role you are hiring for is the first step to improving results.
Improve your hiring outcomes
See how Monster helps employers reduce time to fill, increase applicant quality, and improve hiring performance. Request a demo!
Methodology
This analysis is based on job posting and hiring outcome data covering October 2025 through March 2026. More than 8.2 million job postings were analyzed across occupations and industries. To ensure statistical reliability, only occupations with at least 1,000 postings during the six-month period were included. Postings were deduplicated to reflect net hiring demand. Both rankings use fill rate as the primary metric — the percentage of postings that resulted in a successful hire. Average days to fill reflects the time from posting to closure among positions that were successfully filled.