Glossary

Job Postings Metrics

This page provides a complete list of metrics available in the Global Job Postings API and their definitions. Metrics help you understand the volume, intensity, and characteristics of job postings returned by your filters.

Related: To learn how to apply filters when querying job postings, see the Filtering section of the Global Job Postings API.

For performance reasons, some metrics may be approximations.

Metrics

MetricDefinition
unique_postingsThe number of unique (de-duplicated) monthly active job postings that match your filters. Each posting is counted once per month it is active. This removes duplicate postings that may appear multiple times online.
duplicate_postingsJob postings are often posted multiple times across different platforms. This metric counts the number of duplicate postings after de-duplication. Useful for understanding how often postings are repeated.
total_postingsThe sum of unique_postings and duplicate_postings. Represents the total number of postings found online for the query, including duplicates.
posting_intensityRatio of total postings to unique postings. Indicates how heavily job postings are duplicated for the filtered dataset. A higher value means more reposting of the same positions.
significanceThe relative concentration of each ranked item compared to all other postings in the filtered timeframe. This metric is only applicable for ranking requests. Larger scores indicate that the item occurs more frequently in the filtered postings than in the overall dataset. Cannot be used as a totals metric.
unique_companiesThe number of unique companies represented in the filtered set of job postings.
median_posting_durationThe median duration (in days) of closed job postings that match your filters.
median_salaryThe median annual salary advertised on job postings.
min_salaryThe minimum annual salary advertised in the filtered postings.
max_salaryThe maximum annual salary advertised in the filtered postings.
average_salaryThe average annual salary across advertised postings.

Usage Notes

  1. Timeframe sensitivity: Metrics like unique_postings and posting_intensity are calculated per month within the filtered timeframe. Changing the when filter will affect all metrics.
  2. De-duplication: unique_postings excludes duplicates, but total_postings includes them. Always use unique_postings for unbiased counts.
  3. Ranking applications: Metrics like significance are intended only for ranking requests and should not be used as standalone totals.
  4. Salary metrics: Only postings with salary information contribute to median_salary, min_salary, max_salary, and average_salary. Metrics may be approximate due to incomplete salary data.