This page contains release notes for each of Emsi’s quarterly US dataruns from the 2017.1 datarun forward. The release notes contain information on major methodology changes included with each datarun. The latest datarun’s notes will be added to the top of this page when the datarun is available. Below the latest release notes is the dataset chart, showing a list of the major sources that go into Emsi data and what “vintage” (year, month, etc.) of each source was used for each of the past four dataruns.
To read more on Emsi data updates, see this article. To read more about each source and what Emsi uses it for, click the link in the dataset chart.
Growth/Openings Calculation Bug
We fixed a bug in how we calculated growth for occupational employment. Growth is part of the calculation for openings, so openings were also affected. Previously, if employment was zero for a year and greater than zero for the following year, growth was incorrectly calculated to be zero. We’ve corrected the calculation so growth now equals the employment in the following year. Nationwide for all occupations, the amount of growth we were previously dropping was between 6,000 and 16,000 jobs for historical years and between 500 and 3,000 for projected years. The maximum percentage error was just under 0.6%.
QCEW Supplemental Earnings
We improved our process for estimating supplemental earnings for QCEW industry data to reduce the volatility in areas where our BEA source data was suppressed. The new methodology relies more heavily on the parent geography’s supplemental earnings data and thus will more closely match the source data.
Veterans Population Bug (API only)
We fixed a bug in 2009 veterans population data that was overstating the veteran population by roughly 5x. We pull veterans population counts from the Census Bureau’s ACS API, and failed to notice that the variable definitions changed between 2009 and 2010. Only latest year (currently 2018) veterans population data is currently shown in our tools, so only API users may notice a change.
Geography Constraint Changes in Core LMI API (API only)
We’ve simplified the interface for accessing different levels of geography. For example, instead of querying a separate endpoint – Emsi.US.Industry.ZIP – for ZIP code industry data, users can simply prepend “ZIP” to geography constraints sent to Emsi.US.Industry. MSAs are also available by prepending “MSA” to geography constraint. For more details and a full list of datasets that now support this simplified interface, see https://api.emsidata.com/updates/core-lmi-changelog.
Bolded items indicate an update.
|Name||Source||2020.2 Datarun||2020.1 Datarun||2019.4 Datarun||2019.3 Datarun|
|Released 4/28/20||Released 1/17/20||Released 10/11/19||Released 7/8/19|
|Quarterly Census of Employment and Wages (QCEW)||BLS||2019Q3||2019Q2||2019Q1||2018Q4|
|Occupational Employment Statistics (OES)||BLS||2018||2018||2018||2018|
|National Ind/Occ Employment Matrix (NIOEM)||BLS||2018-2028||2018-2028||2016-2026||2016-2026|
|Employment Projections Tables (EP)||BLS||2018-2028||2018-2028||2016-2026||2016-2026|
|Consumer Expenditure Survey (CEX)||BLS||2018||2018||2018||2017|
|Local Area Unemployment Statistics (LAUS)||BLS||February 2020||October 2019||July 2019||March 2019|
|State Personal Income / Local Area Personal Income (SPI/LPI)||BEA||2017 Revised*||2017 Revised*||2017||2017|
|Make & Use Tables (MUTs)||BEA||2018||2018||2017||2017|
|National Income and Product Accounts (NIPA)||BEA||2019Q4||2019Q3||2019Q1||2019Q1|
|Gross Domestic Product by State (GSP)||BEA||2017 Revised||2017 Revised||2017||2016 Revised|
|American Community Survey (ACS)||Census||2018||2018||2017||2017|
|County Business Patterns (CBP)||Census||2016**||2016**||2016||2016|
|ZIP Code Business Patterns (ZBP)||Census||2016**||2016**||2016||2016|
|Nonemployer Statistics (NES)||Census||2016**||2016**||2016||2016|
|Current Population Survey (CPS)||Census||2018||2018||2018||2017|
|Sate and Local Finances (Census of Government, CoG)||Census||2017||2017||2016||2016|
|Population Estimates (PopEst)||Census||2018||2018||2018||2017|
|Origin-Destination Employment Statistics (LODES)||Census||2017||2017||2017||2015|
|Quarterly Workforce Indicators (QWI)||Census||2019Q4||2019Q3||2019Q2||2019Q1|
|Railroad Retirement Board (RRB)||Railroad Retirement Board||2018/2017||2018/2017||2018/2017||2017/2016|
|Occupational Information Network (O*NET)||US Dept. of Labor, Education & Training Administration||24.2||24.1||24.0||23.3|
|Crime By County||Federal Bureau of Investigation (FBI)||2017||2017||2017||2015|
* 2018 SPI/LPI has been released; however, it is incompatible with our processes. We are investigating the cause and will incorporate 2018 SPI/LPI as soon as possible.
** 2017 CBP, ZBP, and NES have been released but make use of a new Census suppression methodology which suppresses data far more heavily than in the past. Emsi is currently working on new methodology that will allow us to calculate ZIP-level employment differently.