Average time to hire by industry: what the original data shows as of October 2026

As of October 2026, there is no current, public, method-consistent table of time to hire for every industry; most industry tables online come from secondary blogs that mix definitions and years. The best original figures are these: across industries, Employ's 2026 Hiring Benchmarks Report put average time to hire at 46.2 days in 2025, and SHRM reports a median time to fill of 39 calendar days for nonexecutive roles. By sector, hospitals took 78 days on average to recruit an experienced nurse (NSI, 2026), federal agencies took 72 to 95 days for three mission-critical occupations in fiscal 2024 (OPM), and technical roles took a median 40 days against 30 for business roles (Ashby, 2026).

Every number below links to the publisher's own page and says what it measures. Where a figure exists only in a gated report or a secondary article, we left it out.

What is the average time to hire by industry in 2026?

For federal hiring, OPM's 2024 data call guidance says time to hire is reported in calendar days using its 80-day hiring model, which begins when the hiring manager validates the need. The May 2025 Merit Hiring Plan adds that the government-wide goal of under 80 days refers to time to initial offer. Either way, the federal clock starts before any candidate applies, so it behaves more like time to fill. For contrast, the same GAO report found GAO itself averaged about 103 days for its own mission-critical hires in fiscal 2024.

Why isn't there one number for each industry?

• The detailed industry tables are gated or private. Employ's report covers retail, hospitality, manufacturing, software and technology, and business services, but the figures sit behind a request form, so we have not shown them. SHRM's public summary gives no industry split.
• Each dataset is one vendor's customers, not a sample of all employers.
• Definitions differ. Some count from the job opening, some from the candidate's application, some from a validated need. Some report means, others medians.
• Secondary tables recycle old data. Many "by industry" tables online trace back to years-old studies or give no source at all. If a table does not say whose data it is, when it was collected and what it measures, do not use it as a target.

Is the benchmark measuring time to hire or time to fill?

Check this first. Time to fill starts when the job opens or is approved; time to hire starts when the person you hired entered the process. The gap between them is mostly sourcing time. Employ's two figures show the size of the difference: 63.5 days to fill against 46.2 days to hire. The formulas, a dated worked example and how to report both are in time to hire vs time to fill.

Why does time to hire differ so much between industries?

• Credential and license checks. Healthcare roles wait on license verification and credentialing before an offer can be confirmed; see professional license verification for recruiters.
• Vetting and security reviews. OPM's Merit Hiring Plan names streamlining personnel vetting, and better reciprocity of security clearances between agencies, as ways to cut federal time to hire.
• Interview intensity. Ashby's data shows technical hires average five interview events against four for business roles, and its Recruiting Operations report found hired technical candidates took about 18 days from first to last interview against about 14; see how many interview rounds is normal.
• Scarcity. NSI's report says demand for healthcare workers continues to outpace supply; fewer qualified applicants means longer searches.
• Notice periods. These affect start dates more than offer dates. A recruiter quoted in Ashby's EMEA report notes that one to three months' notice is common in Europe, so time to start runs longer there even when time to hire matches the Americas.

How do you build your own industry benchmark?

Your own trailing data, by role family, is a better target than any national figure. A simple method:

1. Pick one definition and write it down: for example, from the hired candidate's application or first contact to the offer acceptance date.
2. Pull the last 10 to 20 hires in one role family, not the whole company.
3. Report the median, plus the fastest and slowest quarter. One long search can drag an average far from the typical case.
4. Compare like with like: your median time to hire against a published median time to hire, from a dataset that resembles you.
5. Re-run quarterly and watch the trend rather than any single month.

An example with invented numbers: nine recent hires in one role family took 18, 22, 25, 29, 31, 34, 40, 52 and 88 days.

Median (5th of 9 values)       = 31 days
Mean    = 339 / 9              = 37.7 days
Spreadsheet, days in B2:B10:
  Median         =MEDIAN(B2:B10)
  Fastest 25%    =QUARTILE.INC(B2:B10,1)
  Slowest 25%    =QUARTILE.INC(B2:B10,3)

The single 88-day search pulls the mean almost seven days above the median. Report the median, and look into the 88-day search separately: that is where the lesson is.

Where do the days go, and what can you shorten?

Ashby's Recruiting Operations report (May 7, 2026) found time to hire is usually the sum of several smaller delays rather than one bottleneck. Within scheduling, the wait between sending a schedule and the interview actually happening tended to be a bigger delay than getting the schedule sent, because interviewer calendars push dates out. Employ's data shows the first screen alone averaged 7.2 days after application in 2025. The usual places to look:

• Days from application to first contact.
• Days waiting for interview slots, especially with several interviewers.
• Days from the last interview to a decision, often waiting for scorecards.
• Days from verbal offer to signed offer.

The full audit, with a worked example, is in how to reduce time to fill. Stage-by-stage drop-off is in pipeline conversion rates by stage.

How should you report time to hire against a benchmark?

TIME TO HIRE, [ROLE FAMILY], [QUARTER]
Definition: hired candidate's application date to offer acceptance
Hires: [n]     Median: [ ] days     Middle 50%: [ ] to [ ] days
Previous quarter median: [ ] days
External reference: [source, year, what it measures, median or mean]
Longest search this quarter: [role], [days], main cause: [ ]

Naming the source, year and definition next to any external figure stops a 39-day time-to-fill benchmark from being read as a time-to-hire target, or the other way round.