NLx Research Hub microdata is designed for researchers, data analysts, data scientists, etc. who can work with large datasets in a programmatic environment.

For those who are looking for job posting information without working directly with the individual records, you can utilize our publicly available Data Tools or request custom aggregate data tables.

The NLx Research Hub strives to ensure ethical and transparent use of job posting data and protect sensitive and proprietary information. To that end, we have developed the simplest governance process that will still enable us to track data use and sustain the Research Hub as a trusted data source. Please review Data Access for additional information.

The NLx Research Hub offers two formats of the microdata: the Job table and the JobHistory table.

• The Job table includes every job posting in the database, with only the most recent version of each posting.

• The JobHistory table covers all job postings from the NLx job feed for every day since June 2021.

For more information, see our Data Formats.

The NLx Research Hub database is updated daily with the latest NLx job feed. Our API allows users to access that new data immediately. The secure server files are updated once per month, no later than the 4th of the month.

Our oldest job postings date back to the early 2000s, but the NLx job feed was not archived on a regular basis until 2015. That is the foundation of the NLx Research Hub database. In 2021, the Research Hub introduced a more rigorous system for storing and processing the data, including the JobHistory table.

The NLx job feed, the foundation of the NLx Research Hub data, includes job bank participation from all 50 U.S. states, D.C., Puerto Rico, Guam, and the U.S. Virgin Islands. We also cover all federal government jobs via USAJobs.gov, most federal contractors, and many other employers.

Based on our analysis through NLx JOE, we estimate that NLx job postings represent about half of all job openings in the U.S. in a typical month. There is no reliable national benchmark for the total number of job openings posted online, so an exact measure of NLx coverage is not available.

Assessing representativeness of the NLx Research Hub data is an ongoing process. One challenge is that identifying a source of truth to benchmark against is not straightforward. We encourage you to review our technical reports as well as analysis conducted by data users toward this end.

“Shadow” job postings are records in our data that have duplicated from their original posting to reflect multiple hiring locations. For more information about how these records are identified and recommendations for how to work with them, see our blog post and User Guide. The User Guide is currently available only to users with an active data license.

‍“Evergreen” job postings stay posted longer than a typical posting because employers hire for the position as needed. These postings are often used for jobs with high turnover or jobs that are difficult to fill. For more insight into these types of postings, read our Spotlight on posting durations for Fortune 500 job opportunities.