The same job behaves differently on every platform
We index the same roles from company career sites, applicant-tracking systems and boards. Which platform a posting comes from changes three things we can measure: how long it stays listed, how often it states pay, and whether it tells us when it was published at all. Below is the league table — no ranking of employers, just what each platform's postings do.
Key figures
| Measure | ||
|---|---|---|
| dark | 48 days | n=4,829,356 · states pay 12.21% · listed 60d+ 45.75% |
| workday | 12 days | n=839,115 · states pay 10.91% · listed 60d+ 0.0% |
| phenom | 34 days | n=310,989 · states pay 9.24% · listed 60d+ 33.7% |
| smartrecruiters | 45 days | n=212,857 · states pay 6.34% · listed 60d+ 44.54% |
| greenhouse | 61 days | n=159,352 · states pay 9.84% · listed 60d+ 50.74% |
| paycom | 70 days | n=124,224 · states pay 9.97% · listed 60d+ 54.6% |
| paylocity | 25 days | n=110,920 · states pay 12.96% · listed 60d+ 28.18% |
| oraclecloud | 25 days | n=110,546 · states pay 5.5% · listed 60d+ 21.05% |
| ukg | 34 days | n=101,903 · states pay 21.58% · listed 60d+ 33.76% |
| jibe | 68 days | n=101,453 · states pay 7.46% · listed 60d+ 53.63% |
| workable | 88 days | n=77,537 · states pay 12.66% · listed 60d+ 62.41% |
| dayforce | 32 days | n=70,373 · states pay 18.2% · listed 60d+ 32.7% |
| Longest-lived postings | lever 98 days | n=65,734 · longest median listing age |
| Most pay-transparent platform | ukg 21.58% | vs 11.5% across all postings |
| Publish date missing most often | workday 47.85% | we still index the posting, but cannot date it — so it stays out of age measures |
Frequently asked
Why does listing age differ so much between platforms?
Each platform reports a publish date and refreshes it on its own schedule. Workday postings median 12 days; lever postings median 98. We report what the source says and do not adjust it.
What does ‘publish date missing’ mean?
Some platforms do not expose a date at all. 47.85% of Workday postings arrive without one — we keep the posting, but leave it out of any age statistic.
Does this mean some platforms are better?
No. It measures transparency and refresh behaviour, not employer quality. A high median age can mean a platform keeps evergreen requisitions, or simply that it dates postings honestly.
How do you avoid counting the same job twice?
7.7% of postings appear on more than one board; we detect those and report the distinct role behind them.
Press, research and custom cuts: [email protected] · Cite as: DeUnemployment, “Where job postings come from — platform by platform, 2026-11-06”, https://deunemployment.com/data/hiring-platforms (2026-11-06).
Where this connects. Outside work that defines or studies the measure on this page:
- open-jobs, the CC0 corpus this index is built from — elliottdehn/open-jobs
- JobPosting, the schema the boards we crawl publish against — Schema.org
Need a different cut? Every figure on this page comes from one index, so we can extract almost any slice on request — a city, a role, an industry, a time window, or a comparison between platforms. Tell us what you need at [email protected] and we will pull it, publish it with its method, and hand you the numbers. All we ask in return is a citation.
More data
- Ghost jobs & listing age
- Listing age by country
- Hiring market structure
- Publication date availability
- Key figures
- All datasets & measures
- State of Jobs — monthly report
- Data health — what our corpus can vouch for
- Request a custom cut
“Still listed” is a listing-age measure from the source publish date, not a verification that a role is open; link liveness is measured separately. The percentages are the October 2026 edition (full pass, measured 2026-10-06); the index counts are rebuilt by every nightly update, most recently 2026-11-06. Page generated 2026-11-06.