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Lightcast Changelog

All Lightcast product updates

Analyst - Improvements

We have released a revised version of demographics projections (2022-2033).

Analyst, Developer, Improvement, Improvement, Improvement, Talent · February 16, 2023

The 2023.1 run incorporated revisions to census estimates for 2020.  In some places, those estimates created a break in the timeseries with 2019, and that break in the series unduly influenced projected in-migration and out-migration.  Our new projections include newly released birth and death data from the CDC, which helps to mitigate the influence of the revised 2020 data.  This said, use demographic projections with caution.  Because of changes to birth, death, and migration patterns during COVID in 2020 and 2021, it is uncertain whether those new patterns represent a change in trajectory (for example, people leaving larger metropolitan areas and working remotely becomes a new normal), or a temporary aberration, and the next few years will look more like the late 2010’s rather than 2020-2021.  With data currently available, it is not yet apparent which trends will hold and which will break, and therefore there is more uncertainty in the projected population.

Revision to ZIP- and tract-level employment methodology

This datarun introduced new methodology for our ZIP and tract employment calculations. Our main source of employment data is QCEW, which publishes down to the county level, and we then model that county-level employment down to the ZIP and tract level. In our previous methodology, zip and tract distribution was based solely on DBUSA. While this distribution was generally in keeping with our previous distribution methodology based on Zip Business Patterns released by the Census, there were still shortcomings to this approach, particularly when there were mismatches in NAICS classification between QCEW and DBUSA.

Our new methodology seeks to address these shortcomings. In our new methodology, ZIP- and tract-level employment is grounded in the employment figures produced by LODES, which publishes data ZCTA and tract-level data at the 2-digit NAICS, providing a much more grounded high level estimates.  DBUSA is then used to distribute employment below the 2-digit NAICS, but has much more rigid guidelines provided by the LODES data.  Note that we do not attempt to match LODES exactly, since there are differences between LODES and QCEW – rather, we use LODES as a control to inform our distribution of QCEW employment, without matching LODES exactly.

Job Posting Analytics Now Shows Minimum Education for Job Postings

Analyst, Analyst - Canada, Improvement, Improvement, Improvement · October 25, 2022

In Profile Analytics you can now see what is the minimum education level needed for job postings.

Filter Profile Analytics by “Highest Attainment”

Analyst, Developer, Improvement, Improvement, Improvement, New, New, New, Talent · October 15, 2022

You can now filter profiles in Profile Analytics by the highest education attainment level.

Filter Job Postings by Program

Analyst, Improvement, Improvement, Improvement · September 15, 2022

You can now filter job postings by Program. When a job posting calls out for a specific degree such as business administration or computer science you can now filter and find those postings. This filter is available in all of our job postings-focused reports.

Improvement to our Remote Job Posting Filter

Analyst, Analyst - Canada, Improvement, Improvement, Improvement, Improvement · August 2, 2022

We have improved our Remote Job Posting Filter!

In addition to Remote or Non-Remote you can now filter by Hybrid and Unknown.

These improvements will help you gain a better understanding of how remote work is changing and impacting your markets.

Ability to Use Multiple Institutions in the Occupation Table Filter

Analyst, Analyst - Canada, Improvement, Improvement, Improvement, Improvement · March 14, 2022

We have added the ability to use multiple institutions in the Occupation Table filter. As part of this improvement we have added the ability to add institutions to the filter through radius searches or user created groups.

Job Posting Feed Improvements

Analyst, Analyst - Canada, Default, Improvement, Improvement, Improvement, Improvement · January 10, 2022

As a result of our enhanced deduplication method and sharper skill scraping, we’re excited to highlight the following improvements:

  • Job postings data tracks 35% closer to JOLTS (a government benchmark for job posting data).
  • “Spammy” or false job postings are filtered out, resulting in a roughly 20% decrease in overall job postings volume.
    *    Even with this decrease, job postings trends are largely consistent.
    *    A large percentage of these “spammy” postings come from Truck Driving jobs.
  • Location accuracy is now over 95%.
  • Extraction of 20% more skills on average from job postings.

 

New “Searched” Skills Option in Job Postings Table

Analyst, Analyst - Canada, Developer, Improvement, Improvement, New, New, Talent · September 10, 2021

Now when searching using a skills or a group of skills in the Job Postings Table you can filter results to only see results for those skills using the “Searched Skills” Tab.

-If you want to see all Skills related job postings data you can use the “Related Skills” Tab.
-To see only results for the skills you used in your search you can use the “Searched Skills” Tab.

Multi-Region Exports!

Analyst, Analyst - Canada, Improvement, Improvement · April 5, 2021

Instead of running reports over and over for different regions you can now run one report for up to 20 different regions at once using the multiple-region export!

This option will be available in most reports anytime you search with two or more regions. Selecting the multiple-region export will run the report once for each different region you have selected and then give you an excel or csv download.

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