A local benchmark that follows worker flows
The Census Bureau's Quarterly Workforce Indicators can compare employment, hires, separations, turnover, and earnings across states, counties, metropolitan areas, workforce areas, industries, employer characteristics, and worker groups. The QWI API documentation identifies 32 indicators. This makes QWI useful when a national average is too broad for a recurring role concentrated in a specific market.
QWI does not score an employer. It summarizes a defined local labor market from linked administrative records. A company should place its own stable-hire rate or separation rate beside the external result, not merge the two datasets.
Key takeaways
- Geography and industry selection usually affect the comparison more than another decimal place.
- Hires and separations describe flows. Net employment change describes the difference between expansion and contraction.
- Suppressed, imputed, or noisy values need explicit handling before a location ranking is used.
- An external turnover rate cannot reveal the cause of one employer's exits.
What QWI measures
The QWI measure guide explains that linked employer and worker records support measures unavailable from a simple establishment count. It reports that the underlying LEHD data cover more than 95 percent of U.S. private-sector jobs. QWI can distinguish beginning-of-quarter employment, end-of-quarter employment, stable employment, hires, separations, turnover, job creation, job destruction, and earnings.
| Measure family | Question it can support | Common mistake |
|---|---|---|
| Employment | How large is the selected market? | Treating jobs as unique people |
| Hires | How much worker entry occurred? | Treating every hire as growth |
| Separations | How much worker exit occurred? | Assuming every exit was voluntary |
| Turnover | How much churn occurred among stable jobs? | Rebuilding the rate with a different denominator |
| Earnings | What did covered jobs pay in the period? | Treating average earnings as an offer recommendation |
| Job creation and destruction | How did establishment employment change? | Confusing job change with worker movement |
The guide notes that much hiring follows turnover rather than net growth. That is especially relevant to continuously open roles. A flat employment count can coexist with a large recruiting workload because people enter and leave while the number of jobs remains similar.
Select the comparison before extracting data
Write a benchmark specification first: geography, industry code, quarter range, ownership, firm age or size if used, worker group if used, seasonal adjustment, measure, and release date. The NAICS reference helps confirm which industry code matches the establishment, not merely the job title.
A home-services company might employ dispatchers, technicians, salespeople, and managers. QWI industry data describe the establishment's industry. They do not provide occupation-specific turnover for each title. That boundary should appear in the analysis.
The interactive QWI Explorer supports visual comparison. The LED Extraction Tool supports downloads. A repeatable operating report should retain the extracted file or API request, since an unlabeled screenshot cannot be reproduced.
Build a defensible local comparison
Use several quarters. A single quarter can reflect seasonality, a local closure, rapid expansion, data noise, or a delayed record. Compare the same quarter across years when seasonal adjustment is not available or appropriate. If a geography has small counts, consider a broader geography or industry level rather than presenting unstable detail.
| Decision | External field | Internal field |
|---|---|---|
| Maintain a standing pipeline | Local hires and separations | Approved starts and observed applicant conversion |
| Adjust recruiter coverage | Flow trend across quarters | Weekly queue and available recruiter hours |
| Review offer design | Earnings for the selected industry | Approved pay, schedule, benefits, and acceptance reasons |
| Investigate retention | Local turnover trend | Cohort exits with documented reasons and tenure |
| Compare locations | Same measure and quarter | Same internal definition at each site |
The public-use schema defines variables, labels, status flags, and geography fields. Analysts should retain status flags instead of discarding them during import. A polished chart is not reliable if its underlying observation was suppressed or flagged.
Separate recruiting demand from market movement
External movement can explain why a talent pool needs continuing attention, but it does not set the employer's requisition count. The employer should reconcile four components: approved growth, expected replacements, known seasonal demand, and current vacancies. Each component needs an owner and effective date.
Recruiting operations can then translate approved starts into screens, interviews, offers, and scheduled starts with internal conversion data. Use cohorts based on entry date so late outcomes do not contaminate earlier periods. Keep withdrawals, rejections, no-shows, and employer cancellations distinct.
The LEHD data page also describes origin-destination employment products. Those commute-flow datasets answer different questions from QWI. Do not substitute a worker's home-to-work pattern for turnover or hiring flow.
Release management and reproducibility
The Census Bureau publishes QWI release notices. A durable report records the vintage checked and whether a later refresh changed the result. If the organization refreshes a dashboard automatically, archive the values used for material hiring decisions.
The LEHD program site explains the federal-state partnership behind the data. States submit administrative records on different schedules, so the newest common quarter may lag the present. That lag makes QWI a planning reference, not a live vacancy feed.
The technical paper on the creation of QWI describes the linked infrastructure and statistical processing. A business user does not need to reproduce that system, but the report owner should know that QWI is an estimate produced from administrative inputs and statistical methods, not a census of currently available candidates.
Data Sources and Methodology
We reviewed ten Census Bureau program, schema, tool, classification, and methodology resources on October 2, 2026. This article maps published measure definitions to recurring-hiring decisions. It does not calculate a local rate because no employer geography or industry was supplied. That avoids presenting a selected market as though it applied to every StopHighTurnover reader.
The factual claims come from Census sources. Recommendations about extraction records, cohorts, owners, and review cadence are operating controls. They are inferences about sound measurement, not findings that QWI proves one practice will reduce turnover.
Limitations
QWI is industry based, not occupation based. Coverage, availability, and timeliness vary. Detailed cuts may be noisy or suppressed. Worker demographic fields are useful for describing markets, but they should not become shortcuts for individual hiring decisions. Employer records may define hires, separations, stable employment, locations, or industries differently.
Comparisons also risk ecological error: an association at the county or industry level may not hold for one company or worker. Use internal evidence to investigate causes. Review legal and statistical implications before using demographic comparisons in selection or resource allocation.
Operating decision
A recurring-hiring team should add QWI when national figures are too broad and local flow affects sourcing capacity. Approve the comparison specification, extract the same measures consistently, preserve flags and vintage, and place company results beside the benchmark. Escalate any material gap for investigation rather than labeling it good or bad automatically.
An embedded recruiting team can maintain the approved talent-pipeline workflow and reporting. Business owners still decide headcount, role design, pay, location strategy, and acceptable risk.
Sources
- Quarterly Workforce Indicators API, U.S. Census Bureau.
- QWI Measure Descriptions, U.S. Census Bureau.
- QWI Explorer, U.S. Census Bureau.
- LED Extraction Tool, U.S. Census Bureau.
- LEHD Origin-Destination Employment Statistics, U.S. Census Bureau.
- QWI Data Notices, U.S. Census Bureau.
- QWI Public Use Data Schema, U.S. Census Bureau.
- LEHD Infrastructure Files and Creation of QWI, U.S. Census Bureau.
- Longitudinal Employer-Household Dynamics, U.S. Census Bureau.
- North American Industry Classification System, U.S. Census Bureau.
Related reading
Pair the local benchmark with a documented location hiring heatmap that keeps business demand separate from market evidence. To review a recurring-hiring operating model, book a free consultation.