This page contains release notes for each of Emsi’s bi-annual Canada dataruns from the 2018.3 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.
Latest Release Notes
2019.3
None. There were no classification updates or major methodology changes.
Dataset Chart
Unless otherwise noted, all data comes from Statistics Canada.
| Name | Emsi 2019.3 | Emsi 2019.1 | Emsi 2018.3 |
|---|---|---|---|
| Released 9/20/19 | Released 5/8/19 | Released 10/26/18 | |
| Canadian Business Counts (CBC) | June 2019 | December 2018 | June 2018 |
| Census 2016 | 2016 | 2016 | 2016 |
| National Household Survey | 2011 | 2011 | 2011 |
| Census 2006 | 2006 | 2006 | 2006 |
| Census 2001 | 2001 | 2001 | 2001 |
| Survey of Employment, Payrolls and Hours (SEPH) | June 2019 | December 2018 | July 2018 |
| Labour Force Survey (LFS) | 2018 | 2018 | 2017 |
| Canadian Occupation Projection System (COPS) | 2016-2026 | 2016-2026 | 2016-2026 |
| CANSIM Demographics | 2018 | 2018 | 2017 |
| Postsecondary Student Information System (PSIS) | 2016/17 | 2016/17 | 2015/16 |
| Symmetric Input-Output Tables | 2015 | 2015 | N/A |
Older Release Notes
2019.1
Emsi Industry Classification (Emsi NAICS) 2017
Emsi’s industry classification has been updated to closely match the NAICS Canada 2017 version 3.0 classification, which includes the following new industry codes:
- 111412 – Cannabis grown under cover
- 111995 – Cannabis grown in open fields
- 3123 and 312310 – Cannabis product manufacturing
- 4134 and 413410 – Cannabis merchant wholesalers
- 453993 – Cannabis stores
For more information on the changes between NAICS 2017 v2 and NAICS 2017 v3, see StatCan’s mapping between them.
While SEPH now covers Cannabis, employment in industries 3123 and 4134 are usually suppressed. SEPH also now suppresses employment in the sibling industries of 3122 – Tobacco manufacturing and 4133 – Cigarette and tobacco product merchant wholesalers. To help unsuppress these values, we estimate employment using Canadian Business Counts (the only other data source we use that covers the cannabis industries) and use those estimates as seed values in our unsuppression.
2018.3
Standard Geographical Classification (SGC) 2016
Emsi’s geography classification has been updated to match the geography classification used by the 2016 Census. For more information, see StatCan’s writeup.
Emsi Industry Classification (Emsi NAICS) 2017
Emsi’s industry classification has been updated to closely match NAICS Canada 2017 version 2.0 classification. As with Emsi NAICS 2012, Emsi NAICS 2017 combines or omits a few of the standard NAICS codes:
| Description | NAICS 2017 | Emsi NAICS 2017 |
|---|---|---|
| Farming and Agriculture | 111* – 112* | 1110 |
| Scenic and Sightseeing Transportation, Other | 4879 | Rolled into 4871 and 4872 |
| Other Federal Services | 9112, 9113, 9114, 9119 | Rolled into 9112 |
| Provincial and Territorial Public Administration | 912* | 9120 |
| Local, Municipal, and Regional Public Administration | 913* | 9130 |
| International Public Administration | 9191 | Not Included |
For more information on the changes between NAICS 2012 and NAICS 2017 v2, see StatCan’s Revision of NAICS Canada for 2017 (Version 1.0) and NAICS Canada 2017 Version 2.0.
National Occupational Classification (NOC) 2016 Version 1.1
Emsi’s occupation classification has been updated to match NOC 2016 version 1.1. The structure of NOC 2016 Version 1.1 remains unchanged from that of NOC 2011. No major groups, minor groups or unit groups have been added, deleted or combined, though some groups have new names or updated content. For more information, see StatCan’s summary of the changes.
LFS Volatility Adjustment
Due to the volatility of historical LFS data, Emsi is now smoothing historical LFS using Kaufman’s Adaptive Moving Average (KAMA). KAMA is based on the Exponential Moving Average (EMA) and is responsive to both trend and volatility. It closely follows employment when volatility is low and smooths out volatility when employment fluctuates dramatically. For more information about this methodology or to request the methodology white paper, please contact your Emsi representative.
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