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.
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.
Correction: Historical Regional Occupation data for regionalizing Historical OES Staffing Patterns
In a previously released methodology document, Emsi claimed to have begun using historical regional OES occupation data to regionalize historical national OES staffing patterns. This was incorrect – Emsi had begun using historical national OES staffing patterns with the 2018.3 release, but did not begin using historical regional OES occupation data to regionalize those staffing patterns until the 2020.4 release. As a result, users should expect to see more consistency between published occupation data from OES and Emsi’s staffing and occupation data.
Changes to the “QCEW Employees” Class of Worker
In an effort to continually improve our core LMI industry data, this quarter we revisited and improved the processes that create Emsi industry data based on the Quarterly Census of Employment and Wages. In summary, the improvements will be visible as more reasonable earnings estimates, fewer unreasonably small employment numbers (less than one job), and fewer jobs and earnings arbitrarily added where QCEW published zeros for certain establishments. Due to these changes, users should not expect historical data to match previous Emsi dataruns except where that historical data was completely disclosed by QCEW. There may also be slight differences between published annual data from QCEW and Emsi’s employment estimates. The specifics:
ZIP Breakouts for State and Local Government Higher Education
We improved our usage of staff employment data from IPEDS to better break out county data to ZIP codes for state and local government higher education.
Experimental Census Tract Industry and Occupation Data
We created experimental industry and occupation datasets at the Census Tract level to provide better geographical granularity. The methodology is still undergoing improvements and the data has not yet been included in our tools, but the data is available via API and datapulls. If you would like advanced access to help us validate the data, please contact your customer service representative.
Accuracy of the Social Accounting Matrix
We fixed a bug in the Commodity Flow Survey unsuppression and improved accuracy in the gravity flows model of Emsi’s Social Accounting Matrix (SAM) Input-Output model.
Bolded items indicate an update.
Name | Source | 2020.4 Datarun | 2020.3 Datarun | 2020.2 Datarun | 2020.1 Datarun |
---|---|---|---|---|---|
Released 10/7/20 | Released 7/27/20 | Released 4/28/20 | Released 1/17/20 | ||
Quarterly Census of Employment and Wages (QCEW) | BLS | 2020Q1 | 2019Q4 | 2019Q3 | 2019Q2 |
Occupational Employment Statistics (OES) | BLS | 2019 | 2019 | 2018 | 2018 |
National Ind/Occ Employment Matrix (NIOEM) | BLS | 2018-2028 | 2018-2028 | 2018-2028 | 2018-2028 |
Employment Projections Tables (EP) | BLS | 2018-2028 | 2018-2028 | 2018-2028 | 2018-2028 |
Consumer Expenditure Survey (CEX) | BLS | 2018 | 2018 | 2018 | 2018 |
State Personal Income / Local Area Personal Income (SPI/LPI) | BEA | 2018 | 2017 Revised | 2017 Revised | 2017 Revised |
Make & Use Tables (MUTs) | BEA | 2018 | 2018 | 2018 | 2018 |
National Income and Product Accounts (NIPA) | BEA | 2020Q2 | 2020Q1 | 2019Q4 | 2019Q3 |
Gross Domestic Product by State (GSP) | BEA | 2017 Revised** | 2017 Revised | 2017 Revised | 2017 Revised |
American Community Survey (ACS) | Census | 2018 | 2018 | 2018 | 2018 |
County Business Patterns (CBP) | Census | 2018 | 2016 | 2016 | 2016 |
ZIP Code Business Patterns (ZBP) | Census | 2016*** | 2016*** | 2016*** | 2016*** |
Nonemployer Statistics (NES) | Census | 2018 | 2018 | 2016 | 2016 |
Current Population Survey (CPS) | Census | 2019 | 2018 | 2018 | 2018 |
Sate and Local Finances (Census of Government, CoG) | Census | 2017 | 2017 | 2017 | 2017 |
Population Estimates (PopEst) | Census | 2019 | 2018 | 2018 | 2018 |
Origin-Destination Employment Statistics (LODES) | Census | 2017 | 2017 | 2017 | 2017 |
Quarterly Workforce Indicators (QWI) | Census | 2020Q2 | 2020Q1 | 2019Q4 | 2019Q3 |
Railroad Retirement Board (RRB) | Railroad Retirement Board | 2019/2018 | 2018/2017 | 2018/2017 | 2018/2017 |
Occupational Information Network (O*NET) | US Dept. of Labor, Education & Training Administration | 25.0 | 24.3 | 24.2 | 24.1 |
Crime By County | Federal Bureau of Investigation (FBI) | 2017 | 2017 | 2017 | 2017 |
Completions | IPEDS | 2019 | 2019 | 2018 | 2018 (IPEDS corrections) |
Enrollments | IPEDS | 2018 | 2018 | 2018 | 2018 |
Birth/Death Rates | Center for Disease Control (CDC) | 2018 (Birth), 2017 (Death) | 2018 (Birth), 2017 (Death) | 2015 | 2015 |
Migration | Internal Revenue Service (IRS) | 2018 | 2018 | 2018 | 2016 |
** 2018 and 2019 GSP data have been released with partial coverage, but will not be fully released until fall 2020. We do not use the preliminary release because the BEA drastically revises GSP numbers for the final release.
*** 2018 ZBP has been released but makes 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.