Point-in-time weekly hiring signals for 4,200 listed companies with US or Canadian hiring: new, removed and active postings and function mix, mapped to tickers since 2017.
Data product · Listing updated 11 Nov 2026
Canada, United States
Published Mondays 09:00 ET for the prior week
About 4,200 tickers with weekly series since 2017
Mid-market, Enterprises
Deduplicated employer career-site postings in the US and Canada
Employer-to-ticker entity mapping maintained through corporate actions; rows frozen at publication
Company hiring momentum as a ticker-level time series, built for backtesting.
A weekly panel for about 4,200 listed companies with meaningful hiring in the US or Canada: new postings, removed postings, active postings, the share of openings in engineering, sales and operations, and a hiring-velocity z-score versus each company's own 52-week baseline. Each row has the exact timestamp it was first published to subscribers, and history is never revised, so backtests reflect what you could have known.
Signals are built from the same deduplicated employer career-site postings as our main feed. Employers are mapped to listed parents and tickers through a maintained entity map that follows mergers, spin-offs and ticker changes; subsidiaries are rolled up to the listed parent. Weekly files are published on Mondays at 09:00 ET for the week ending Friday. The data comes only from public job postings and contains no material non-public information; a compliance pack with our sourcing description and a completed due-diligence questionnaire is available on request.
11 fields as documented by Maplecourt Workforce Data.
| Field | Type | Description | Example |
|---|---|---|---|
| ticker | string | Ticker on the signal date | — |
| company_id | string | Permanent Maplecourt company ID | — |
| week_ending | date | Friday of the measured week | — |
| new_postings | integer | Postings first seen during the week | — |
| removed_postings | integer | Postings removed during the week | — |
| active_postings | integer | Open postings at week end | — |
| engineering_share | number | Share of active postings in engineering roles | — |
| sales_share | number | Share of active postings in sales roles | — |
| hiring_velocity_z | number | New postings versus the 52-week baseline, as a z-score | — |
| available_at | datetime | When the row was first published | — |
| mapping_confidence | number | Confidence in the employer-to-ticker mapping | — |
Real rows from the provider's sample file. Personal data is masked before anything is shown.
| tickerstring | week_endingstring | new_postingsstring | removed_postingsstring | active_postingsstring | hiring_velocity_zstring | available_atstring |
|---|---|---|---|---|---|---|
| DEMO | 2026-10-30 | 412 | 388 | 3120 | 0.84 | 2026-11-02T14:00:00Z |
| EXMPL | 2026-10-30 | 95 | 140 | 870 | -1.37 | 2026-11-02T14:00:00Z |
| SMPL | 2026-10-30 | 1260 | 990 | 9840 | 2.11 | 2026-11-02T14:00:00Z |
Prices in USD, as published by Maplecourt Workforce Data
weekly signals with 3-year history
weekly signals with full history since 2017
Converted amounts use DataStoa display rates and are approximate. Maplecourt Workforce Data quotes the final price, taxes and terms.
Request detailed pricing2 countries.
Time coverage: 2017 to present.
Provider-reported
Latency: Published Mondays 09:00 ET for the prior week
DataStoa has not audited these figures. Ask the provider how they are measured, or test them on a sample.
The licence is agreed directly between you and Maplecourt Workforce Data. This summary is provider-reported; the linked terms prevail.
Not listed: use in commercial products, AI / ML model training, AI retrieval and grounding, redistribution allowed, marketing and outreach. Ask Maplecourt Workforce Data if you need any of these.
Job postings, wages and hiring signals for North American employers
Maplecourt collects and deduplicates job postings from employer career sites and job boards across the US and Canada, then turns them into wage benchmarks and company-level hiring signals. HR, strategy and investment teams use it to see where demand for skills is moving.
Also available on: Snowflake Marketplace, AWS Data Exchange
What buyers say about Maplecourt Workforce Data. Reviews cover the provider, not only this listing.
from 2 reviews
The ticker-mapped hiring velocity series is point in time and the mapping handles subsidiaries sensibly. It improved one of our sector models modestly, which is about what we hoped. Delivery into our bucket has been on time every week.
Kevin L., Data scientist, Quant equity fund
The same job reposted on several boards shows up once with all its sources attached, so our demand counts are no longer inflated. Salary fields are sparse outside states with pay transparency laws, which they document clearly.
Rachel N., Talent intelligence analyst, Staffing group