Brief
The most trustworthy number in this space is also the least dramatic: the Bureau of Labor Statistics' Job Openings and Labor Turnover Survey (JOLTS). For June 2026, BLS reported job openings little changed at 7.4 million, hires unchanged at 5.3 million, and total separations at 5.4 million. The annual average hires rate for 2025 was 3.3%, down from 3.4% in 2024, and by February 2026 the hires rate had fallen to 3.1% — the lowest since April 2020 per BLS JOLTS data cited in industry benchmarking. This is a confidential, mandatory federal survey, which the Congressional Research Service noted in an April 2025 report gives it more truth-telling incentive than voluntary online job-board data, since the same distortions that produce ghost postings online don't apply to a confidential government survey. But JOLTS openings-minus-hires is not a ghost-job measure: an opening can be genuine and simply unfilled at month's end, filled the following month, or eliminated by a hiring freeze. The Congressional Research Service was explicit that there are no official statistics on the magnitude of ghost jobs, and that the private studies analyzing this question use varying, often undisclosed methodologies that make it difficult to assess data quality across studies.
Prevalence estimates for ghost jobs therefore span a wide range depending entirely on what is being measured. A 2025 Greenhouse platform-data study, which measured actual employer posting behavior on its applicant-tracking system, put the figure at 18% to 22% of postings. A September 2025 ResumeUp.AI study, using a different method — treating any LinkedIn posting active more than 30 days as a likely ghost job — found that 27.4% of U.S. listings on that platform qualified, with Los Angeles the worst major metro at 30.5%. A widely cited Clarify Capital figure, built from employer self-reporting rather than platform outcome data, put the share of employers admitting to posting jobs with no current hiring intent close to one in three. These are not the same question: Greenhouse and ResumeUp.AI measure outcomes or listing characteristics on their own platforms, while Clarify Capital captures stated employer intent. None of the three is a nationally representative sample of the full U.S. online job market, and each vendor has a commercial incentive (selling ATS software, career-coaching services, or resume tools) to publicize a large, attention-getting number.
On the applicant-volume side, the strongest available benchmark on time-to-fill comes from the Society for Human Resource Management's 2026 Recruiting Benchmarking report, based on a survey SHRM fielded between November 2025 and January 2026: median time-to-fill for nonexecutive positions fell to 39 calendar days in 2026, down from 44 days in 2025, while executive time-to-fill held flat at 45 days, both well below the 60-day executive median SHRM recorded in 2022. SHRM further found that organizations using the most effective recruitment practices, including AI-assisted screening, filled roles roughly five days faster than the rest. This is a real, credentialed, membership-survey-based benchmark from the leading HR professional body — a materially stronger source than the applicants-per-posting figures circulating in the trade press, most of which trace back to individual job-board or resume-tool vendors (Ashby, Novorésumé citing Business Insider, Glassdoor) with no disclosed sampling methodology, and which disagree with each other by factors of two or more (100 to 340 applicants per posting depending on source). Given that disagreement and the absence of disclosed methodology behind any single figure, none of the applicants-per-role vendor numbers meet this analysis's sourcing bar and none are included as point estimates below.
Application-to-response rates show the same pattern: numbers circulating in trade coverage range from a 2% to 25% response rate depending on platform and source, with no single figure independently corroborated by two Tier 1-2 sources. What is more consistently documented is the regulatory response to the trust problem itself. As of 2026, California and New York have enacted or passed legislation requiring employers to disclose hiring timeframes or whether a posting reflects a genuine current vacancy, and Ontario, Canada has legislation effective January 2026 addressing both ghost postings and HR ghosting during interviews. The Congressional Research Service noted that deceptive job postings could theoretically fall under the FTC's Section 5 authority over unfair or deceptive practices, but flagged that proving an employer's deceptive intent — a legal requirement — is a substantial enforcement barrier, meaning the regulatory response is currently running ahead of any enforceable federal standard.
The Numbers (11)
U.S. job openings (seasonally adjusted)
7.4 million▼ Down
This is a genuine, confidential federal survey measure, but the Congressional Research Service noted that JOLTS 'openings' can still include listings that are stale, paused, or destined to go unfilled for reasons unrelated to fraud — it is not a ghost-job count on its own.
As of June 2026BLS JOLTS news release, August 4, 2026High confidence
U.S. hires (seasonally adjusted)
5.3 million▬ Flat
The gap between openings (7.4M) and hires (5.3M) in the same month is roughly 2.1 million — commonly cited in ghost-job commentary, but BLS itself does not characterize this gap as ghost postings since openings and hires are measured on different timing conventions.
As of June 2026BLS JOLTS news release, August 4, 2026High confidence
Annual average hires rate
3.3%▼ Down
Down from 3.4% in 2024, consistent with a broader 'low-hire, low-fire' labor market regime rather than a ghost-job-specific effect.
As of full-year 2025BLS JOLTS news release archive (2026 M01 results)High confidence
Ghost job share of postings — platform outcome data
18%–22%
This is the most methodologically transparent private estimate because Greenhouse measured actual posting-to-fill outcomes on its own ATS across a stated multi-thousand-client base, rather than surveying self-reported intent.
As of 2025 studyGreenhouse (applicant-tracking-system platform data)Medium confidence
Ghost job share of postings — listing-duration proxy
27.4%
Built on a duration proxy (any posting live more than 30 days is classified as likely ghost) rather than confirmed outcome data, so it captures slow-moving legitimate hires as well as true ghost postings — not directly comparable to the Greenhouse figure.
As of September 2025 analysisResumeUp.AI, LinkedIn posting analysisLow confidence
Median time-to-fill, nonexecutive roles
39 calendar days▼ Down
Down from a 44-day median in 2025; SHRM attributes part of the improvement to AI-assisted screening and scheduling tools reducing administrative lag, not necessarily to fewer ghost postings.
As of 2026 (survey fielded Nov 2025–Jan 2026)SHRM 2026 Recruiting Executives Benchmarking reportHigh confidence
Median time-to-fill, executive roles
45 calendar days▬ Flat
Unchanged from 2025 but well below the 60-day median SHRM recorded in 2022, suggesting executive hiring cycle compression has plateaued after several years of improvement.
As of 2026SHRM 2026 Recruiting Executives Benchmarking reportHigh confidence
Official ghost-job prevalence statistic
Not available
The Congressional Research Service explicitly stated there are no official statistics on the magnitude of ghost jobs, which is the single most important caveat governing every other prevalence figure in this brief.
As of April 2025Congressional Research Service report (IF12977)High confidence
Application-to-response rate (general)
Not available
Circulating vendor estimates for how often applicants receive any employer response range roughly from 2% to 25% depending on platform, industry, and undisclosed sample construction; no figure met the two-independent-source corroboration bar, so none is reported as a point estimate.
As of 2026No single corroborated figure across Tier 1-2 sourcesLow confidence
Applicants per job posting (general)
Not available
Trade-press figures for average applicants per posting range from roughly 100 to 340+ depending on the vendor cited (Ashby, Glassdoor, Business Insider/Novorésumé), with no disclosed common methodology, so this analysis does not adopt a point figure.
As of 2026No single corroborated figure across Tier 1-2 sourcesLow confidence
States with ghost-job / hiring-timeframe disclosure laws
California and New York (enacted/passed); Ontario, Canada (effective Jan 2026)▲ Up
These are the first binding legal responses to the trust gap in hiring, shifting ghost-job exposure from a reputational risk to a compliance and civil-penalty risk for employers operating in those jurisdictions.
As of 2026User-provided prior scan finding; corroborated by Congressional Research Service reportHigh confidence
Comparisons (3)
Ghost-job prevalence by measurement method
Greenhouse platform-outcome data: 18%–22% (2025)vsResumeUp.AI duration-proxy data: 27.4% (Sept. 2025)
Gap: A roughly 5-9 percentage point spread that reflects methodology, not necessarily a true change in prevalence — outcome-based measurement (Greenhouse) and duration-proxy measurement (ResumeUp.AI) are answering different questions about the same underlying phenomenon
Time-to-fill, nonexecutive vs. executive roles
Nonexecutive median: 39 days (2026)vsExecutive median: 45 days (2026)
Gap: A 6-day gap that has narrowed as nonexecutive hiring sped up 5 days year-over-year while executive hiring stayed flat, suggesting AI-assisted screening tools are compressing high-volume, lower-complexity hiring faster than bespoke executive searches
Executive time-to-fill, 2022 vs. 2026
2022 median: 60 daysvs2026 median: 45 days
Gap: A 15-day (25%) compression over four years, per SHRM's own benchmarking series, though SHRM data does not isolate how much of this reflects genuine process efficiency versus fewer roles being posted at all amid a lower-hire labor market
Facts & Figures (11)
The claims behind this analysis, each with its verification status — including what is contested, unverified, or could not be established.
U.S. job openings (seasonally adjusted): 7.4 million
This is a genuine, confidential federal survey measure, but the Congressional Research Service noted that JOLTS 'openings' can still include listings that are stale, paused, or destined to go unfilled for reasons unrelated to fraud — it is not a ghost-job count on its own.
— FROM THE RECORDper BLS JOLTS news release, August 4, 2026 · as of June 2026 · High confidence
U.S. hires (seasonally adjusted): 5.3 million
The gap between openings (7.4M) and hires (5.3M) in the same month is roughly 2.1 million — commonly cited in ghost-job commentary, but BLS itself does not characterize this gap as ghost postings since openings and hires are measured on different timing conventions.
— FROM THE RECORDper BLS JOLTS news release, August 4, 2026 · as of June 2026 · High confidence
Annual average hires rate: 3.3%
Down from 3.4% in 2024, consistent with a broader 'low-hire, low-fire' labor market regime rather than a ghost-job-specific effect.
— FROM THE RECORDper BLS JOLTS news release archive (2026 M01 results) · as of full-year 2025 · High confidence
Ghost job share of postings — platform outcome data: 18%–22%
This is the most methodologically transparent private estimate because Greenhouse measured actual posting-to-fill outcomes on its own ATS across a stated multi-thousand-client base, rather than surveying self-reported intent.
— FROM THE RECORDper Greenhouse (applicant-tracking-system platform data) · as of 2025 study · Medium confidence
Ghost job share of postings — listing-duration proxy: 27.4%
Built on a duration proxy (any posting live more than 30 days is classified as likely ghost) rather than confirmed outcome data, so it captures slow-moving legitimate hires as well as true ghost postings — not directly comparable to the Greenhouse figure.
— FROM THE RECORDper ResumeUp.AI, LinkedIn posting analysis · as of September 2025 analysis · Low confidence
Median time-to-fill, nonexecutive roles: 39 calendar days
Down from a 44-day median in 2025; SHRM attributes part of the improvement to AI-assisted screening and scheduling tools reducing administrative lag, not necessarily to fewer ghost postings.
— FROM THE RECORDper SHRM 2026 Recruiting Executives Benchmarking report · as of 2026 (survey fielded Nov 2025–Jan 2026) · High confidence
Median time-to-fill, executive roles: 45 calendar days
Unchanged from 2025 but well below the 60-day median SHRM recorded in 2022, suggesting executive hiring cycle compression has plateaued after several years of improvement.
— FROM THE RECORDper SHRM 2026 Recruiting Executives Benchmarking report · as of 2026 · High confidence
Official ghost-job prevalence statistic: Not available
The Congressional Research Service explicitly stated there are no official statistics on the magnitude of ghost jobs, which is the single most important caveat governing every other prevalence figure in this brief.
— FROM THE RECORDper Congressional Research Service report (IF12977) · as of April 2025 · High confidence
Application-to-response rate (general): Not available
Circulating vendor estimates for how often applicants receive any employer response range roughly from 2% to 25% depending on platform, industry, and undisclosed sample construction; no figure met the two-independent-source corroboration bar, so none is reported as a point estimate.
— FROM THE RECORDper No single corroborated figure across Tier 1-2 sources · as of 2026 · Low confidence
Applicants per job posting (general): Not available
Trade-press figures for average applicants per posting range from roughly 100 to 340+ depending on the vendor cited (Ashby, Glassdoor, Business Insider/Novorésumé), with no disclosed common methodology, so this analysis does not adopt a point figure.
— FROM THE RECORDper No single corroborated figure across Tier 1-2 sources · as of 2026 · Low confidence
States with ghost-job / hiring-timeframe disclosure laws: California and New York (enacted/passed); Ontario, Canada (effective Jan 2026)
These are the first binding legal responses to the trust gap in hiring, shifting ghost-job exposure from a reputational risk to a compliance and civil-penalty risk for employers operating in those jurisdictions.
— FROM THE RECORDper User-provided prior scan finding; corroborated by Congressional Research Service report · as of 2026 · High confidence