Datadory notebook

How e-commerce operators use human resource & employment services data

E-commerce operators use human resource and employment services data to time peak-season hiring against JOLTS turnover history, pick fulfillment markets with QCEW county staffing counts, set offers from OEWS wage percentiles, and flag partner layoffs through WARN filings. Sixteen of the 19 primary datasets Datadory catalogs in this industry are free.

1,744 datasets. Pick your catch.

Which numbers belong next to your peak-season hiring calendar?

Ramp plans fail in two directions: hiring too late means paying agency premiums in a tight market, and hiring too early means carrying payroll through slow weeks. The benchmark series for timing both is BLS Job Openings and Labor Turnover Survey (JOLTS), which publishes monthly job openings, hires, separations and quits levels and rates from December 2000 to the latest reference month - roughly 376,000 rows across about 2,061 series, free in the US commercial delivery terms as text, CSV and JSON.

What changes when you hire or expand across borders?

Cross-border hiring multiplies unknowns, and three free sources shrink them. World Bank Jobs Data covers roughly 265 economies with annual labor indicators from 1960 to 2025 - unemployment, labor-force participation, wage and salaried worker shares - downloadable as CSV or XML and queryable through a free API under commercial delivery terms 4.0. Screening which country can staff a customer-experience hub starts there.

How do you vet talent partners and catch trouble early?

When recruiting specialized roles - engineers who understand your stack, analysts for a new market - MyVisaJobs aggregates hundreds of thousands of H-1B LCA filings per fiscal year into tens of thousands of sponsoring-employer profiles with salary averages, filterable by job title, occupation, city, state and law firm. Its reports show whether companies you might hire from, or compete with, actually sponsor visas. Treat it as recon rather than a data feed: reports are free to view, the deeper search tools are member-gated, and the terms restrict redistribution.

Pick up where this leaves off

Every one of these ships with sample rows before you commit to anything.

Human Resource & Employment Services Every U.S. county, metropolitan statistical area, state and…

BLS QCEW - Employment Services (NAICS 5613)

area_fips · own_code · industry_code …+24 more

Human Resource & Employment Services United States national totals, all 50 states plus District of…

BLS Job Openings and Labor Turnover Survey (JOLTS)

series_id · year · period …+3 more

Human Resource & Employment Services United States: nation, all states plus DC and territories…

BLS Occupational Employment and Wage Statistics (OEWS)

AREA / AREA_TITLE · AREA_TYPE · PRIM_STATE …+15 more

Human Resource & Employment Services United States - the O*NET-SOC taxonomy spans the entire U.S.…

O*NET Database (downloadable)

O*NET-SOC Code · Title · Description …+13 more

Human Resource & Employment Services Roughly 265 World Bank member economies and aggregates worldwide

World Bank Jobs Data

Country Name · Country Code · Indicator Name …+6 more

Human Resource & Employment Services 31 EURES countries

EURES European Job Mobility Portal

id · title · description …+10 more

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Questions worth asking

Is HR and employment services data useful for a company that isn't a staffing agency?

Yes. The industry's public statistics describe the labor market your operation hires from: JOLTS tracks openings, hires and quits monthly back to December 2000, QCEW maps staffing-industry depth by county, and OEWS publishes wage percentiles for about 830 occupations. Sixteen of the 19 primary datasets Datadory catalogs here are free.

What is the fastest free way to benchmark pay before extending an offer?

BLS OEWS gives nine wage percentiles per occupation across roughly 530 metropolitan and nonmetropolitan areas in the May 2025 file of 413,528 rows, including HR managers, specialists and recruiters. Payscale Research complements it with crowd-reported 10th-90th percentile bands, bonus and commission components and explicit sample sizes such as 15,237 profiles on its HR manager page.

Can I publish charts built from these datasets in a deck or on our blog?

For the five US federal public-domain records - QCEW, JOLTS, OEWS and both USAJOBS products - yes, with BLS requesting citation of BLS and the release date. O*NET permits derivatives under commercial delivery terms 4.0 with credit, as do World Bank (commercial delivery terms 4.0), ONS (OGL v3.0) and Destatis (dl-de/by-2.0). Payscale and MyVisaJobs content stays view-only under their terms.