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Canada Data Release Notes

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 Upcoming Changes section outlines major changes users can expect to see in the next datarun.
  • The Current Release Notes section lists the changes and updates introduced with the latest datarun available in Analyst/Developer.
  • The Dataset Chart shows 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.
  • The Older Release Notes section contains release notes from prior dataruns.

To read more on Emsi data updates, see this article.

Upcoming Changes
Upcoming Changes: 2022.3

This section outlines major changes coming with the next datarun that users should be aware of.

Currently there are no major changes.

Latest Release Notes


Update to CIP 2016

We will now be using CIP 2016 to categorize PSIS educational attainment data. More specifically, we will be using the variant of CIP 2016 created for the 2018 release of PSIS that includes cannabis-related programs (see Variant of CIP Canada 2016 – Cannabis groupings )

Dataset Chart

Unless otherwise noted, all data comes from Statistics Canada.

Older Release Notes


Revised staffing process

We are now using year-specific seeds (where possible) for the staffing unsuppression process. These new seeds come from a linear interpolation of census staffing data from 2006 (the first Census staffing year) to to the latest Census staffing year. Unsuppression of data in earlier years now uses seeds more heavily on the 2006 Census, and later years use seeds based more heavily on the latest Census. This replaces the previous method in which all seeds came from a simple averaging of 2006 and latest-year data. Note that we do not include 2011 census data in the linear interpolation; data from 2011 is unreliable because the 2011 National Household Survey had a very poor response rate (69% vs 94% of 2006 Census).

Fewer tiny industry employment values

We removed some abnormally small employment values (less than one job) from Emsi industry data and distributed them to other industries with more reasonable employment values, effectively clustering the data more tightly around known values. The effect on industry, staffing, and occupation data will make the resulting data more reasonable and queries faster, and will likely be unnoticeable because of routine data source updates.

SEPH monthly averaging

Previously, our methodology only allowed us to use monthly SEPH data once all twelve months had been released. This led to accurate data, but we lagged behind the latest SEPH releases for most of the year. We’ve changed this methodology to all us to use the average of the most recent twelve months of monthly SEPH data as the estimate current year industry employment in cases where a full calendar year of monthly SEPH data isn’t available yet. To help keep the data consistent, we will only do this once we have more than six months of data for that year. So, for example, once we have SEPH monthly data through July of 2022, the average of August 2021 through July of 2022 will be released as 2022 data.


Revised PSIS education data

With the 2018/19 release of the Postsecondary Student Information System (PSIS) data, PSIS stopped providing all-institution totals (summing data across all institutions). This change affects all years of historical data and has resulted in slightly different results while de-rounding the data (PSIS rounds to the nearest 3). Additionally, PSIS began including data for Cannabis-related instructional programs (CIP code 71).

Revised LFS Industry and Occupation Employment Data

The most recent release of Labour Force Survey industry and occupation employment tables included re-based employment values from 2006 forward. This re-base was done to ensure that the data reflect the most recently available population estimates (based on the 2016 Census), 2016 geographic boundaries, and more recent industry classifications. As a result, employment and self-employment values for 2006-2019 will differ slightly from previous estimates.

As mentioned above, the Labour Force Survey industry classification has been updated from using NAICS 2012 to NAICS Canada 2017 version 3.0. As a result, Emsi’s industry self-employment data now includes the following two Cannabis-related industries:

  • 3123 – Cannabis product manufacturing

  • 4134 – Cannabis merchant wholesalers

COPS Occupation Projection Adjustment Bug

We found and fixed a small bug in our COPS projection adjustment where occupations were being adjusted to aggregate 3-digit NOC COPS projections instead of to 4-digit NOC COPS projections.

Revised Population Demographics Data

The most recent release of some of Statcan’s demographics tables included data for all years from 2001 onward. Before this, those files only contained years from 2006 onward, so we used archived data to get 2001-2005 demographics. We’ve now switched to only using the actively released tables, but data for 2001-2005 have been revised, so they differ very slightly from the data that existed in the archived dataset we were using. For more information about the tables in question, see https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1710013901 and https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1710014001


Improved PSIS Detail

PSIS data granularity has been significantly improved. CIP detail has been expanded from the 4 to 6-digit CIP level. In addition, PSIS data now also includes a Credential dimension, which is the level of education previously achieved by the student. For more information about this dimension and a description of the codes in this dimension, see: https://www23.statcan.gc.ca/imdb/p2SV.pl?Function=assembleDESurv&DECId=253573&RepClass=586&Id=1174569&DFId=253524. Note, the Credential dimension should not be confused with the Award Level dimension, which is the context in which a program is offered (i.e. the level of the studies and whether the student is seeking the degree as preparation for a career or for further studies). For more information about this dimension and a description of the codes in this dimension, see: https://www23.statcan.gc.ca/imdb/p2SV.pl?Function=assembleDESurv&DECId=1273154&RepClass=586&Id=1174569&DFId=253524.

2020.1COPS Projection Adjustment BugWe found and fixed a small bug in our COPS projection adjustment that caused our adjusted projections to be up to 6% higher than COPS projections in the final projection year. Emsi now matches projection trends from COPS.Use Beginning-of-Year Minimum WageProvinces and Territories sometimes increase their minimum wage multiple times per year. Emsi has switched from using end-of-year to beginning-of-year minimum wage laws as the wage floor for each year’s occupational earnings.Correct CIP Code TitlesWe fixed the titles of the following CIP codes:CIP 11: changed from “Communications technologies/technicians and support services” to “Computer and information sciences and support services”CIP 26: English title changed from “Sciences biologiques et biomédicales” to “Biological and biomedical sciences”Industry Earnings EstimationWe updated our earnings estimation methodology for SEPH, generally making earnings per job more reasonable for Canadian industry data. Earnings did not change significantly.Industry Unemployment DataWe added unemployment data by 2-digit NAICS, from the Labour Force Survey. This data will be available in the 2020.1 and following dataruns. It can be found in the columns options in the Industry Table. For more information on digit level available, see this article.
2019.3None. There were no classification updates or major methodology changes.
2019.1Emsi Industry Classification (Emsi NAICS) 2017Emsi’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.

2018.3Standard Geographical Classification (SGC) 2016Emsi’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) 2017Emsi’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:

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 1.1Emsi’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 AdjustmentDue 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.



Name Emsi 2022.1 Emsi 2021.3 Emsi 2021.1 Emsi 2020.3
Released 5/27/22 NA NA Released 10/14/20
Canadian Business Counts (CBC) December 2021 June 2021 December 2020 June 2020
Census 2016 2016 2016 2016 2016
National Household Survey 2011 2011 2011 2011
Census 2006 2006 2006 2006 2006
Census 2001 2001 2001 2001 2001
Survey of Employment, Payrolls and Hours (SEPH) January 2022 July 2021 December 2020 June 2020
Labour Force Survey (LFS) 2021 2020 2020 2019
Canadian Occupation Projection System (COPS) 2019-2028 2019-2028 2019-2028 2019-2028
CANSIM Demographics 2021 2020 2020 2019
Postsecondary Student Information System (PSIS) 2018/19 2018/19 2018/19 2017/18
Symmetric Input-Output Tables 2019 2019 2017 2017
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

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