This page contains release notes for each of Emsi’s quarterly US dataruns. The release notes outline any major methodology changes or fixes included with each datarun.
Emsi updates core LMI data four times per year with the latest data available from each dataset. These updates are called Dataruns. These are the target release dates for the next four dataruns:
2021.4: 10/29/21 (QCEW 2021Q1)
2022.1: 1/21/22 (QCEW 2021Q2)
2022.2: 4/29/22 (QCEW 2021Q3 and OES 2021)
2022.3: 8/5/22 (QCEW 2021Q4 and IPEDS 2021)
The Bureau of Labor Statistics’ Quarterly Census of Employment and Wages (QCEW), released quarterly, kicks off a new Emsi datarun. You can view the QCEW release schedule here (note that Emsi uses the Full Data Release, not the News Release). As soon as a new quarter of QCEW is released, Emsi’s Data team downloads it and re-flows all Emsi data to incorporate all data source updates that happened since the last datarun. This incorporation of new data sources is then released as a new datarun.
To read about updates for postings and profiles data, see this article.
This section lists the changes and updates introduced in the latest datarun.
CIP 2020 (Classification of Instructional Programs)
With the 2021.3 datarun, Emsi is updating from CIP 2010 to CIP 2020 for IPEDS completions data and profiles analytics. For more information about CIP codes, see CIP user site
Labor Force Participation Changes
We changed the denominator for labor force participation rates from the population aged 16+ to a total civilian non-institutionalized population aged 16+. The prior denominator included people who should not be included when calculating labor force participation rate, including military, inmates, residents of care facilities, and others.
Read more about the labor force participation rate methodology changes here.
Occupation Data Correction (Self-Employed and Extended Proprietors)
We discovered and resolved mapping inaccuracies from ACS SOC codes to Emsi SOC codes affecting up to 0.7% and 0.9% of Self-Employed and Extended Proprietors classes of worker respectively. This affects products such as occupation employment & earnings, occupation workforce demographics employment, and staffing patterns. While the overall number of jobs remains the same, the distribution of those jobs between SOC codes has changed.
The relative percentages have increased for the following Emsi occupations codes:
13-1198 – Project Management Specialists and Business Operations Specialists, All Other
23-2099 – Legal Support Workers, All Other
25-9021 – Farm and Home Management Educators
25-9031 – Instructional Coordinators
25-9044 – Teaching Assistants, Postsecondary
25-9099 – Educational Instruction and Library Workers, All Other
27-3011 – Broadcast Announcers and Radio Disc Jockeys
27-3092 – Court Reporters and Simultaneous Captioners
27-4011 – Audio and Video Technicians
27-4012 – Broadcast Technicians
27-4014 – Sound Engineering Technicians
27-4098 – Lighting Technicians and Media and Communication Equipment Workers, All Other
33-9098 – School Bus Monitors and Protective Service Workers, All Other
Consequently, the relative percentages decreased for the following Emsi codes:
13-1081 – Logisticians
25-4022 – Librarians and Media Collections Specialists
25-9045 – Teaching Assistants, Except Postsecondary
27-3099 – Media and Communication Workers, All Other
43-2099 – Communications Equipment Operators, All Other
53-6061 – Passenger Attendants
Post-Secondary Teacher Data Improvements
Because of a general lack of quality data for individual post-secondary teacher occupations, Emsi combines all those occupations into one. We are now doing that combination earlier in our chain of processes that produce staffing data, which should result in more stable staffing calculations for post-secondary teachers between future releases. Additionally, we previously disaggregated self-employed and extended proprietors earnings percentiles for post-secondary teachers to those detailed occupations before combining them again later. This pointless transformation, which has now been removed, caused those percentile earnings curves to be artificially flatter than they were when calculated directly from ACS microdata.
Occupation Earnings Improvement
We are now calculating state and national percentile earnings for individual 5-digit occupations that were not disclosed in OES using our occupational earnings aggregation methodology rather than the older less precise jobs-weighted averaging methodology. As a result, percentile wage curves are more reasonable for national and state occupation data.
Population Demographics Improvements
In the previous datarun, Emsi began publishing single-age population breakouts using a new cohort model. Some improvements have been made to that model, including:
When breaking out five-year age groups into single ages, it was previously assumed that the breakouts of each age group were the same across all areas within a state. However, college towns (for example) should have a higher share of people of ages 18 and 19 than the rest of the state. Emsi now uses county-level census data for certain age groups to better approximate age breakouts.
We now use logarithmic curve fitting to better project birth, death, and migration rates. Previously we had used a linear regression to project these values.
OES National Staffing Pattern Back-Projections
Emsi is now back-projecting OES national staffing patterns from 2005 to 2001 before regionalizing them and combining them with historical industry data to create historical regional staffing patterns and occupation data. This should better reflect the trajectory of staffing pattern changes looking back in time from current patterns. This change slightly affects 2001-2004 staffing and occupation data.
IRS Migration Unsuppression
Migration flow data is sometimes suppressed by the IRS. Previously, that suppressed data was distributed based on migration patterns from an ACS-based population migration dataset. We now use unsuppression methods to distribute those flows more correctly, using the ACS migration dataset as initial seeds for the unsuppression. The overall result is that the migration flows will be more consistent with the totals published by the IRS and less likely to be erroneous because of differences in methodology/coverage between the IRS and ACS migration datasets.
Occupation Diversity Group Updated
The diversity groups from C2ER changed, which will affect occupation diversity reports in Emsi’s tools.
This section lists major sources and what “vintage” of each source was used in the last four dataruns. Click the hyperlinked name to read more about the source and what role it plays in Emsi data.
Bolded items indicate an update.
|Name||Abbrev.||Source||Emsi 2021.3||Emsi 2021.2||Emsi 2021.1||Emsi 2020.4|
|Quarterly Census of Employment and Wages||QCEW||BLS||2020Q4||2020Q3||2020Q2||2020Q1|
|Occupational Employment Statistics||OES||BLS||2020||2020||2019||2019|
|National Ind/Occ Employment Matrix||NIOEM||BLS||2019-2029||2019-2029||2019-2029||2018-2028|
|Employment Projections Tables||EP||BLS||2019-2029||2019-2029||2019-2029||2018-2028|
|Consumer Expenditure Survey||CEX||BLS||2019||2019||2019||2018|
|State Personal Income||SPI||BEA||2019||2019||2019||2018|
|Local Area Personal Income||LPI||BEA||2019||2019||2019||2018|
|Make & Use Tables||MUTs||BEA||2019||2019||2019||2018|
|National Income and Product Accounts||NIPA||BEA||2021Q1||2020Q4||2020Q3||2020Q2|
|Gross Domestic Product by State||GSP||BEA||2019||2019||2019||2017 Revised|
|American Community Survey||ACS||Census||2019||2019||2019||2018|
|County Business Patterns||CBP||Census||2019||2018||2018||2018|
|ZIP Code Business Patterns||ZBP||Census||2016***||2016||2016||2016|
|Current Population Survey Tabulations||CPS||Census||2019||2019||2019||2019|
|Sate and Local Finances (Census of Government)||COG||Census||2018||2018||2018||2017|
|Origin-Destination Employment Statistics||LODES||Census||2018||2018||2017||2017|
|Quarterly Workforce Indicators||QWI||Census||2021Q1||2020Q4||2020Q3||2020Q2|
|Railroad Retirement Board||RRB||RRB||2019/2018||2019/2018||2019/2018||2019/2018|
|Occupational Information Network||ONET||US DOL/ETA||25.0**||25.0||25.0||25.0|
|Crime By County||FBI||Federal Bureau of Investigation||2019||2019||2019||2017|
|Birth/Death Rates||CDC||Center for Disease Control||2018||2018||2018 (Birth), 2017 (Death)||2018 (Birth), 2017 (Death)|
|Migration Data||Migration||Internal Revenue Service||2019||2018||2018||2018|
|Cost of Living||COLI||C2ER||2021||2020||2020||2020|
* 2017, 2018, and 2019 ZBP 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.
** ONET 25.1+ have been released; 25.1 is the first release to use ONET codes tied to the new 2018 SOC codes. Emsi is currently working to update ONET classification taggers to be compatible with the 25.1 release. When this is finished, all Emsi data (postings, profiles, core LMI) will be updated to the 25.1 classification.
*** Emsi SOC 2019 is almost identical to the SOC2018-based occupation classification currently used by OES. For more information see Emsi SOC
|Name||Abbreviation||Publishing Agency||Data Source that Determines Update||Emsi 2021.3||Emsi 2021.2||Emsi 2021.||Emsi 2020.4|
|Metropolitan Statistical Areas||MSA||Census Bureau||MSA Delineation Files||March 2020||March 2020||March 2020||March 2020|
|Federal Information Processing Codes||FIPS||NIST||Usually QCEW||2015||2015||2015||2015|
|North American Industry Classification System||NAICS||Census Bureau||QCEW||2017||2017||2017||2017|
|Classification of Instructional Programs||CIP||NCES||IPEDS||2020||2010||2010||2010|
|Standard Occupation Classification||SOC||ONS||LFS||2019*||2019||2019||2019|
|Occupational Information Network||ONET||ETA||ONET||25.0**||25.0||25.0||25.0|
This section contains release notes for past dataruns.