Retail Commodity Survey: CVs for Total Sales (March 2020)
NAPCS-CANADA
Month
201912
202001
202002
202003
Total commodities, retail trade commissions and miscellaneous services
0.52
0.58
0.60
0.53
Retail Services (except commissions) [561]
0.52
0.58
0.60
0.52
Food at retail [56111]
1.05
0.86
0.54
0.50
Soft drinks and alcoholic beverages, at retail [56112]
0.45
0.51
0.42
0.43
Cannabis products, at retail [56113]
0.04
0.00
0.00
0.00
Clothing at retail [56121]
0.79
1.01
0.72
0.71
Footwear at retail [56122]
1.06
1.17
1.27
1.83
Jewellery and watches, luggage and briefcases, at retail [56123]
2.29
5.07
5.19
6.07
Home furniture, furnishings, housewares, appliances and electronics, at retail [56131]
0.64
0.90
0.67
0.65
Sporting and leisure products (except publications, audio and video recordings, and game software), at retail [56141]
1.62
2.60
3.68
3.34
Publications at retail [56142]
5.95
8.20
6.64
7.21
Audio and video recordings, and game software, at retail [56143]
3.81
5.38
4.88
3.05
Motor vehicles at retail [56151]
2.08
1.79
1.98
2.12
Recreational vehicles at retail [56152]
4.46
3.98
4.74
4.81
Motor vehicle parts, accessories and supplies, at retail [56153]
1.52
1.46
1.51
1.61
Automotive and household fuels, at retail [56161]
2.04
2.34
2.50
2.15
Home health products at retail [56171]
3.15
2.91
2.81
2.30
Infant care, personal and beauty products, at retail [56172]
2.41
2.69
2.77
2.66
Hardware, tools, renovation and lawn and garden products, at retail [56181]
1.88
2.61
2.49
1.52
Miscellaneous products at retail [56191]
2.31
2.35
1.89
2.21
Total retail trade commissions and miscellaneous services Footnotes 1
1.46
1.41
1.47
1.63
Footnotes
Footnote 1
Comprises the following North American Product Classification System (NAPCS): 51411, 51412, 53112, 56211, 57111, 58111, 58121, 58122, 58131, 58141, 72332, 833111, 841, 85131 and 851511.
Weighted Asset Response Rate
Table summary
This table displays the results of Weighted Asset Response Rate. The information is grouped by Release date (appearing as row headers), 2019 Q1, Q2, Q3, Q4 and 2020 Q1, calculated using percentage units of measure (appearing as column headers).
Release date
2019
2020
Q1
Q2
Q3
Q4
Q1
quarterly (percentage)
June 9, 2020
88.7
86.0
80.0
67.4
67.8
February 25, 2020
85.2
81.9
75.4
62.4
..
November 26, 2019
84.6
80.1
64.9
..
..
August 23, 2019
81.9
65.2
..
..
..
May 24, 2019
67.5
..
..
..
..
.. not available for a specific reference period Source: Quarterly Survey of Financial Statements (2501)
In order to better measure and understand the impacts of the COVID-19 pandemic on businesses and other organizations, this survey collects data on revised capital spending intentions in Canada. The information is used by federal and provincial government departments and agencies, trade associations, universities and international organizations for policy development and as a measure of regional economic activity.
Your information may also be used by Statistics Canada for other statistical and research purposes.
Your participation in this survey is required under the authority of the Statistics Act.
Other important information
Authorization to collect this information
Data are collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.
Confidentiality
By law, Statistics Canada is prohibited from releasing any information it collects that could identify any person, business, or organization, unless consent has been given by the respondent, or as permitted by the Statistics Act. Statistics Canada will use the information from this survey for statistical purposes only.
Record linkages
To enhance the data from this survey and to reduce the reporting burden, Statistics Canada may combine the acquired data with information from other surveys or from administrative sources.
Data-sharing agreements
To reduce respondent burden, Statistics Canada has entered into data-sharing agreements with provincial and territorial statistical agencies and other government organizations, which have agreed to keep the data confidential and use them only for statistical purposes. Statistics Canada will only share data from this survey with those organizations that have demonstrated a requirement to use the data.
Section 11 of the Statistics Act provides for the sharing of information with provincial and territorial statistical agencies that meet certain conditions. These agencies must have the legislative authority to collect the same information, on a mandatory basis, and the legislation must provide substantially the same provisions for confidentiality and penalties for disclosure of confidential information as the Statistics Act. Because these agencies have the legal authority to compel businesses to provide the same information, consent is not requested and businesses may not object to the sharing of the data.
For this survey, there are Section 11 agreements with the provincial and territorial statistical agencies of Newfoundland and Labrador, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia, and the Yukon.
The shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.
Section 12 of the Statistics Act provides for the sharing of information with federal, provincial or territorial government organizations. Under Section 12, you may refuse to share your information with any of these organizations by writing a letter of objection to the Chief Statistician, specifying the organizations with which you do not want Statistics Canada to share your data and mailing it to the following address:
Chief Statistician of Canada
Statistics Canada
Attention of Director, Enterprise Statistics Division
150 Tunney's Pasture Driveway
Ottawa, Ontario
K1A 0T6
For this survey, there are Section 12 agreements with the statistical agencies of Prince Edward Island, the Northwest Territories and Nunavut as well as Environment and Climate Change Canada, Infrastructure Canada, the Canada Energy Regulator and Natural Resources Canada.
For agreements with provincial and territorial government organizations, the shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.
Business or organization and contact information
1. Verify or provide the business or organization's legal and operating name and correct where needed.
Note: Legal name modifications should only be done to correct a spelling error or typo.
Legal Name
The legal name is one recognized by law, thus it is the name liable for pursuit or for debts incurred by the business or organization. In the case of a corporation, it is the legal name as fixed by its charter or the statute by which the corporation was created.
Modifications to the legal name should only be done to correct a spelling error or typo.
To indicate a legal name of another legal entity you should instead indicate it in question 3 by selecting 'Not currently operational' and then choosing the applicable reason and providing the legal name of this other entity along with any other requested information.
Operating Name
The operating name is a name the business or organization is commonly known as if different from its legal name. The operating name is synonymous with trade name.
Legal name
Operating name (if applicable)
2. Verify or provide the contact information of the designated business or organization contact person for this questionnaire and correct where needed.
Note: The designated contact person is the person who should receive this questionnaire. The designated contact person may not always be the one who actually completes the questionnaire.
First name
Last name
Title
Preferred language of communication
English
French
Mailing address (number and street)
City
Province, territory or state
Postal code or ZIP code
Country
Email address
Telephone number (including area code)
Extension number (if applicable)
The maximum number of characters is 10.
Fax number (including area code)
Capital Expenditures - Revised Intentions 2020
1. For 2020, what are this organization's intentions for non-residential capital expenditures?
Include:
non-residential buildings, engineering works, and machinery and equipment
new assets, renovations or betterments, and leasehold improvements
additions to work-in-progress accounts (capital) during the year.
Exclude land, residential buildings, acquisition of used assets from within Canada, mineral exploration and evaluation, software, and other intangible assets.
Non-residential capital expenditures are the gross expenditures on tangible fixed assets during the year for use in the operations of your organization or for lease or rent to others, excluding residential structures (housing or units with exclusive use of bathroom and kitchen facilities).
Fixed assets are also known as capital assets or property, plant and equipment. They are items with a useful life of more than one year and are not purchased for resale but rather for use in the entity's production of goods and services. Examples are buildings, vehicles, leasehold improvements, furniture and fixtures, machinery, and computer software.
Gross expenditures are expenditures before deducting proceeds from disposals and credits.
Include:
land improvements
servicing residential areas (powerlines, natural gas distribution)
buildings that have accommodation units without self contained or exclusive use of bathroom and kitchen facilities (e.g., student residences)
townsite facilities such as streets and sewers
additions to capital work in progress during the year
capital costs such as feasibility studies, architectural, legal, installation and engineering fees
capitalized interest charges on loans with which capital projects are financed
work done by own labour force (installation, renovations)
assets acquired as a lessee through either a capital or financial lease
assets acquired for lease to others as an operating lease (as lessor).
Exclude:
residential buildings (housing or units with self contained or exclusive use of bathroom and kitchen facilities)
acquisition of companies and associated assets
acquisition of used Canadian assets
transfers from capital work in progress to fixed assets accounts
property developed for sale and machinery or equipment acquired for sale (inventory)
assets acquired to lease to others under a capital/financial lease (as lessor)
software purchases and software development costs
mineral exploration and evaluation expenditures.
CAN$ '000
No change from previously reported intentions for non-residential capital expenditures
2. Indicate the reason you are not reporting 2020 intentions for non-residential capital expenditures.
Zero capital expenditure intentions for 2020
Figures not available at this time but a decrease is expected
Figures not available at this time but an increase is expected
Indicate the estimated decrease in percentage.
Percentage
Indicate the estimated increase in percentage.
Percentage
Changes or events
3. Indicate any changes or events that affected the reported values for this business or organization, compared with the last reported intentions.
Select all that apply.
Labour shortages or employee absences
Disruptions in supply chains
Deferred plans to future or projects on hold
Projects cancelled or abandoned
Price changes in goods or services sold
Price changes in labour or raw materials
Sold business or business units
Expansion
New or lost contract
Increased or decreased market demand
End of business activities
Change in business activity
Other
Specify the other changes or events:
No changes or events
Contact person
4. Statistics Canada may need to contact the person who completed this questionnaire for further information.
Is the provided given names and the provided family name the best person to contact?
Yes
No
Who is the best person to contact about this questionnaire?
First name:
Last name:
Title:
Email address:
Telephone number (including area code):
Extension number (if applicable):
The maximum number of characters is 5.
Fax number (including area code):
Feedback
5. Do you have any comments about this questionnaire?
Fifth Canadian Statistics Advisory Council (CSAC) Meeting
Date: April 24 2020, 1:00pm to 4:00pm
Location: Virtual meeting
Meeting agenda
Meeting agenda
Time
Agenda Item
Lead Participant(s)
12:50 - 13:00
Virtual Arrival
CSAC Members
13:00 - 13:05
Chairperson introductory remarks and updates
Teresa Scassa: Chairperson
13:05 - 13:10
Update from the Chief Statistician of Canada
Anil Arora: Chief Statistician of Canada
13:10 - 13:35
Update on Statistics Canada and COVID-19
Andre Loranger: Assistant Chief Statistician, Strategic Data Management, Methods and Analysis field
Yvan Clermont: Director General, Analytical Studies
As of reference month January 2020, the Monthly Oil and Other Liquid Petroleum Products Survey (MOPS) has been redesigned, including the expansion of the survey coverage, new content, new questionnaire, etc.
January 2020 saw the launch of the new Monthly Energy Transportation and Storage Survey (METSS) program which replaces MOPS. Two new tables have been added to replace Table 25-10-0056-01 – Canadian pipeline transport of oil and other liquid petroleum products, monthly:
Table 25-10-0075-01 – Crude oil and petroleum products inventories, held by domestic transporters, by product type, monthly; and
Table 25-10-0077-01 – Crude oil and petroleum products movements, by mode of transport and by product type, monthly
Content has changed to reflect the evolving petroleum industry. In addition to pipeline companies, rail and marine transportation companies are now in sample as well as an expanded product list. These data will be available in the future. The conceptual changes regarding the transition from MOPS to METSS includes a new methodology for estimates. METSS coverage was expanded to include pipeline-associated terminals that were not previously captured in the MOPS and therefore data users can expect estimates to generally be higher. As a result of these changes, the METSS estimates may not be comparable with the estimates available in the MOPS tables published prior to January 2020. Net variables such as deliveries to refineries and receipts from fields and plants have been removed. Data is now structured as gross receipts and deliveries.
Reporting for MOPS used a 'net receipt and delivery' methodology whereas the current METSS uses a 'gross receipt and delivery' methodology. The 'net receipt and delivery' concept for MOPS did not include (netted-out) the intermediary transactions to create final estimates whereas the 'gross receipt and delivery methodology' for METSS includes all intermediary receipts and delivery transactions to calculate final estimates. With the gross receipt methodology being used, pipeline receipt and delivery estimates will generally be higher.
For METSS, the province where the transaction originated is the 'shipping region' and the final destination of the product is included in the table as 'receiving region'. MOPS recorded transactions based on the final destination of the product (province of clearance). METSS currently reports transactions based on an origin-destination approach, meaning that there are two sides to each transaction, both of which are reported.
An example of how estimates will change under the new methodology: from a METSS perspective, crude oil loaded in Alberta, crossing Saskatchewan and ultimately crossing the Canada-US border from Manitoba would be counted as an export from Alberta into the US. From a MOPS province of clearance perspective, this same scenario would result in the export figure being attributed to Manitoba since the crude oil crossed (cleared) the Canada-US border from Manitoba, despite the crude oil being loaded in Alberta.
This change in methodology between MOPS and METSS is the result of further leveraging a key administrative (Petrinex) dataset which allows for the collection of approximately 70% of pipelines in sample while significantly reducing respondent burden. The METSS program also allows for the Monthly Refined Petroleum Products Survey program to more accurately track inter-provincial movements of crude oil, petroleum products and renewable fuels across the country.
In general, correspondence tables are used in classification-related work to summarize the theoretical relationships between different classification systems.
National Occupational Classification (NOC) 2016 Version 1.3
The NOC has been developed and maintained as part of a collaborative partnership between Employment and Social Development Canada (ESDC) and Statistics Canada. The NOC is designed to classify occupational information from statistical surveys. It is also used in a range of contexts to compile, analyze and communicate information about occupations. Occupational information is of critical importance for the provision of labour market and career intelligence, skills development, occupational forecasting, labour supply and demand analysis, employment equity and numerous other programs and services.
The structure and format of the National Occupational Classification 2016 is based on a four-tiered hierarchical arrangement of occupational groups with successive levels of disaggregation, with broad occupational categories at the lowest level and unit groups at the highest level of disaggregation. There are 500 unit groups in the NOC 2016, with approximately 35,000 example job titles. Some titles are clearly occupations, such as librarian and chef, while others represent a range of jobs, such as furniture assembler and sawmill machine operator. These titles are used to describe the work performed by many individuals holding similar jobs within an occupational area. The list of titles in the NOC is not meant to be exhaustive, but attempts to cover the most commonly used and universally understood labels that identify work in the labour market.
Standard Occupational Classification (SOC) 2018 (US)
The Standard Occupational Classification system is used by the United States' federal agencies to classify workers and jobs into occupational categories for the purpose of collecting, calculating, analyzing or disseminating data. The most recent version used for this correspondence table is the SOC 2018 (US).
To facilitate classification and presentation of data, the SOC is organized into a tiered system with four levels, ranging from major groups to detailed occupations. There are, at the lowest level of specification, 867 detailed occupations. Detailed occupations with similar job duties, and in some cases, similar skills, education, and/or training, are grouped together in the SOC. Each worker is classified into only one of the 867 detailed occupations based on the tasks performed. The SOC, like the NOC, does not attempt to provide an exhaustive list of job titles, but attempts to cover the most commonly used and universally understood labels that identify work in the US labour market.
Correspondence tables are used in classification-related work to summarize the relationships between different classification systems. These tables relate the individual detailed classification items (e.g. classes) of the different systems, as well as the more aggregate (or "roll-up") levels of each system. Correspondence tables are also known as concordances, crosswalks, mappings, link tables or look-up tables.
In correspondence tables, the source (or object) classification is on the left-hand side of the table, while the target classification is on the right-hand side. Correspondence tables should be developed starting from the lowest level categories. Then, high-level links can be derived from the lower ones.
When building correspondence tables, various scenarios may be encountered. Classification items may match perfectly across classifications (one-to-one), or one classification item in the object classification may split into several classification items in the target classification (one-to-many); in other cases, two or more classification items in the object classification may link to one (many-to-one) or many classification items (many-to-many) in the target classification.
Types of correspondence tables
There are two main types of correspondence tables: Definitional and Empirical.
Definitional Correspondence Tables: These tables show relationships based on the definitions of the classification items subject to the correspondence process. For a given object class, all target classification items are identified that are wholly or partly synonymous. This is assessed by comparing the definitions and illustrative examples provided for each classification item, taking into account their full scope. Each example and each element of the definition must be assessed. This is sometimes referred to as working from the "granular level". Definitional correspondence tables are also referred to as classification correspondence tables, conceptual correspondence tables or theoretical correspondence tables. This is the type of correspondence table mainly developed for the purpose of standardization at Statistics Canada.
Empirical Correspondence Tables: These tables are also developed to establish relationships between classification items of two classification systems. They can be used to measure the significance of each of the links, based on actual data. They are also good tools to manage the one-to-many and many-to-many splits. They are usually a means of selecting key relationships when developing forced one-to-one correspondences. Empirical correspondences might also be referred to as statistical correspondence tables, though a definitional correspondence table can still be used for statistical purposes as well.
Uses of Correspondence Tables
Correspondence tables allow users to see the relationships between the classification items of the two systems. They are a convenient summary of the similarities and differences between two classifications.
Correspondence Tables Terms and Structure
Object Classification: The user is mapping from this classification. The object classification is the starting point. In the NOC to SOC correspondence table, NOC 2016 is considered as the object classification as the respective NOC classes are mapped to the SOC.
Target Classification: The user is mapping to this classification. In the NOC to SOC correspondence table, SOC 2018 (US) is considered as the target classification as all SOC classes, which are synonymous (partially or fully) with each NOC class, are identified.
Structure: Correspondence tables are typically presented with the object class on the left-hand side and the target class on the right.
Classification item: A classification item represents a category at a certain level within a statistical classification. It defines the content and the borders of the category. An object/unit can be classified to one and only one classification item at each level of a statistical classification.
Asterisk: An asterisk (*) is used to flag situations in which a single object classification item (left side of the correspondence table) corresponds to two or more target classification items (right side of the correspondence table). It is referred to as a "partial" flag.
Explanatory Notes: An explanatory note provides a short description of the nature of the overlap between the object and target classification item(s). It is required for many to one relationships as well as when the "partial" flag is used.
Good practice guidelines used when building this NOC to SOC Correspondence Table
All detailed classification items of both the object and target classifications must be present (100% mapped)
All relationships between those classification items must be known by (or summarized for) the correspondence table builder.
The names of all classification items must be available to the correspondence table builder.
For classifications with aggregate (or "roll-up") levels for which the numeric coding system involves removing the final digit from the more detailed codes, and doing so successively for each level of aggregation, higher levels are straightforward. For classifications that are not hierarchical in this way, the aggregation structure must be explicitly available to the correspondence table builder.
Examples of elements of correspondence tables
This section provides four examples from the NOC – SOC correspondence table to demonstrate how to read the correspondence table. The first example shows a one-to-one relationship, the second example shows a one-to-many relationship, the third example shows a many-to-one relationship and the fourth example shows a many-to-many links with tables for both sides for illustration.
The correspondence examples are shown at the lowest level of both classifications, namely at the 4-digit level in NOC and the 6-digit level in SOC. The relationships between the two classifications can be simple or complex, with example 4 being one of the complex ones.
Example 1 - one-to-one relationship
In this example, a NOC classification item maps to one SOC classification item, their coverage of occupations being the same. All of the occupational duties in NOC 2234 are found in SOC 13-1051. This is a one-to-one relationship and therefore no explanatory note is required, and also, no asterisk is needed in the column "partial".
NOC 2016 Version 1.3
Partial
SOC 2018 (US)
* Explanatory notes
2234 Construction Estimators
13-1051 Construction Estimators
Example 2 - One-to-many relationship
In this example, a NOC classification item maps to more than one SOC classification item. Each SOC item represents a part of the NOC item. This is a one-to-many relationship and therefore requires an asterisk (indicating a partial match) and an explanatory note to detail how the NOC classification item relates to each SOC classification item.
NOC 2016 Version 1.3
Partial
SOC 2018 (US)
* Explanatory notes
1123 Professional occupations in advertising, marketing and public relations
*
13-1011 Agents and Business Managers of Artists, Performers, and Athletes
Only agents, publicists, promoters, representatives and managers of performers, athletes, writers and other talented individuals
1123 Professional occupations in advertising, marketing and public relations
*
13-1131 Fundraisers
Only professionals specializing in fundraising
1123 Professional occupations in advertising, marketing and public relations
*
13-1161 Market Research Analysts and Marketing Specialists
Only professionals specializing in marketing, including advertising specialists and consultants
1123 Professional occupations in advertising, marketing and public relations
*
27-3031 Public Relations Specialists
Only professionals specializing in communication, media and public relations and publicity
1123 Professional occupations in advertising, marketing and public relations
*
41-3011 Advertising Sales Agents
Only professionals specializing in advertising accounts management
The asterisk (*) is used to indicate that each classification item of the target classification (SOC 2018 (US)) represents a portion of the classification item of the object classification (NOC). In this example above, the occupations represented in NOC code 1123 are split between 5 classification items of the SOC 2018 (US); which means these 5 SOC categories are merged into one NOC category.
The explanatory note provides a short description of the nature of the link between the NOC and SOC classification items. It is important to note that occupational example titles may vary from one classification to the other. As a result, in the example 2 table, all titles related to each SOC category (e.g., 27-3031 for professionals specializing in communication, media and public relations and publicity), are also occupations included in 27-3031 and therefore are linked to that SOC code which is linked to NOC code 1123.
Example 3 – Many-to-one relationship
In this example, two or more NOC classification items map to one SOC classification item. An explanatory note is required to detail how the different NOC classification items relate to the SOC classification item.
NOC 2016 Version 1.3
Partial
SOC 2018 (US)
* Explanatory notes
2143 Mining Engineers
17-2151 Mining and Geological Engineers, Including Mining Safety Engineers
Only mining engineers
2144 Geological Engineers
17-2151 Mining and Geological Engineers, Including Mining Safety Engineers
Only geological engineers
7313 Heating, refrigeration and air conditioning mechanics
49-9021 Heating, Air Conditioning, and Refrigeration Mechanics and Installers
Only mechanics and installers for heating, refrigeration and air conditioning
7331 Oil and solid fuel heating mechanics
49-9021 Heating, Air Conditioning, and Refrigeration Mechanics and Installers
Only mechanics and installers for oil and solid fuel heating
The explanatory note provides a short description of the nature of the link between the NOC and SOC classification items. It is important to note that occupational example titles may vary from one classification to the other. As a result, in example 3 table, all related titles to these NOC classification items are also included in the links to that SOC code. The NOC to SOC correspondence is not mapped in this fashion. This example is provided to demonstrate many-to-one relationships within the NOC – SOC correspondence, and how it would be displayed, if sorted in this manner.
Example 4 – Many-to-many relationship
In this example, two or more NOC classification items map to many (two or more) SOC classification items, and vice versa. An explanatory note is required to detail how the different NOC classification items relate to the SOC classification items. The two tables below illustrate many-to-many relationships between NOC and SOC. We use SOC code 11-9111 to illustrate the many-to-many relationships showing that it is linked to 4 NOC codes (0014, 0114, 0311 and 0632), which in turn are linked to other SOC codes. Further, each individual SOC 2018 (US) code listed in the second table below could also be linked to different NOC 2016 codes than those shown on that table. One case to notice is the NOC 0311 which is only linked to SOC code 11-9111 therefore no asterisk is used in the second table below. In fact, the asterisk is not used in that case because the object classification is the one driving the use of partials; therefore, the asterisk is used on the reverse correspondence table (SOC 2018 (US) to NOC 2016).
SOC 2018 (US)
Partial
NOC 2016 Version 1.3
* Explanatory notes
11-9111 - Medical and Health Services Managers
*
0014 Senior managers - health, education, social and community services and membership organizations
Only administrators and executive directors of hospitals
11-9111 - Medical and Health Services Managers
*
0114 Other administrative services managers
Only administrators, managers and directors in medical and health records management, including patient-registration manager and hospital admissions director
11-9111 - Medical and Health Services Managers
*
0311 Managers in health care
Only managers in health care not already represented in other relationships between this SOC code and NOC
11-9111 - Medical and Health Services Managers
*
0632 Accommodation service managers
Only managers of nursing homes
NOC 2016 Version 1.3
Partial
SOC 2018 (US)
* Explanatory notes
0014 Senior managers - health, education, social and community services and membership organizations
*
11-9111 - Medical and Health Services Managers
Only administrators and executive directors of hospitals
0014 Senior managers - health, education, social and community services and membership organizations
*
11-1011 - Chief Executives
Only highest level management positions
0014 Senior managers - health, education, social and community services and membership organizations
*
11-1021 - General and Operations Managers
Only general and operations managers as specified in this NOC
0114 Other administrative services managers
*
11-9111 - Medical and Health Services Managers
Only administrators, managers and directors in medical and health records management, including patient-registration manager and hospital admissions director
0114 Other administrative services managers
*
11-3012 - Administrative Services Managers
Only administrative services managers, excluding administrators, managers and directors in medical and health records management, and also excluding patient-registration manager and hospital admissions director
0311 Managers in health care
11-9111 - Medical and Health Services Managers
0632 Accommodation service managers
*
11-9072 - Entertainment and Recreation Managers, Except Gambling
Only managers of ski resorts
0632 Accommodation service managers
*
11-9081 - Lodging Managers
Only accommodation and lodging service managers
0632 Accommodation service managers
*
11-9111 - Medical and Health Services Managers
Only managers of nursing homes
0632 Accommodation service managers
*
39-9041 - Residential Advisors
Only managers of student residences
Developing the NOC 2016 – SOC 2018 (US) correspondence table
The correspondence table between NOC 2016 and SOC 2018 (US) relates the individual detailed classification items of the two systems – notably leading statements, main duties (job descriptions) and occupational qualifications and requirements, which in turn informs mappings of occupational title examples. For this correspondence table, analysis of occupations was completed for NOC 2016 at the 4 digit level (the lowest level and detailed description level), for SOC 2018 (US) at the 6 digit level (lowest level with occupation leading statements) and at the O*NET-SOC 8 digit detailed descriptions levelFootnote 1. In addition, the crosswalk O*NET-SOC 2010 to SOC 2018 (US) was used to link the O*Net to SOC 2010 with the SOC 2018 (US).
Key considerations when using the NOC 2016 –SOC 2018 (US) correspondence table:
The NOC 2016 –SOC 2018 (US) correspondence table is definitional and based on theoretical links.
Each national occupational classification, NOC and SOC, structure encompasses the whole occupational universe for that country.
Each national occupational classification provides a non-exhaustive list of occupational example titles at the lowest aggregate level.
Occupational examples titles vary from one country's occupational classification to another.
To aid in creating this correspondence table, the scope or function of an occupation was used to determine the relationship.
In keeping with good practice and broader usage, there is a 100% mapping between the two classifications at the lowest level for each of their classification items.
