US Job Listings Since March 2020 Normalized to Pre-COVID Levels
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Description
3.3 million hiring organizations are represented in this dataset tracking daily US job listing volume. Data is derived from online job listings, capturing an average of 70% of all new US jobs, and published nightly. The dataset provides 7-day averages of new listings, expressed as a percentage of the baseline from March 1, 2020.
Use Cases
Model the economic recovery from COVID-19 based on normalized hiring trends mentioned in the description
Analyze industry-specific hiring volatility based on the segmentation by geography, industry, job family, and role
Track regional labor market disparities based on the geographic filtering capability
Benchmark current hiring activity against pre-pandemic levels based on the March 1, 2020 normalization
Strengths
Covers data from 3.3 million hiring organizations
Captures an average of 70% of all new US job listings
Provides daily updates with data calculated and published nightly
Normalizes data to a consistent pre-COVID baseline (March 1, III)
Limitations
Column-level documentation is absent; field semantics must be inferred after download
Row count is unknown, which may limit suitability assessment
Data may reflect source bias inherent to the online job listing tracking method
Provenance
Source
Greenwich.HR and OneModel Inc.
Collection Method
Derived from online job listings tracked continuously, calculated daily.
Time Range
Since March 1, 2020.
Freshness
Updated daily.
Geography
United States.
License is listed as 'other'; specific terms require inspection.