• Purpose of the classification
• Historical background
• The underlying concepts
• The classification structure and coding system
• Relationship to other classifications
• Summary of changes from NAPCS Canada 2017 Version 2.0 to NAPCS Canada 2022 Version 1.0
• Product data in the Canadian statistical system
• The methods for implementing the classification

Purpose of the classification

The North American Product Classification System (NAPCS) Canada is a classification of products (goods and services) designed primarily for use in statistical programs. It is Statistics Canada’s official standard for the collection, processing and dissemination of product statistics in its economic, business and trade statistics programs. This includes, for example, statistics on the value of exports and imports by type of product, the value of industry production and consumption by type of product, and industrial product price indices.

Statistical classifications are comprehensive structured lists of mutually exclusive categories. In practice, this means that there is always a category in the classification if the object falls within the scope of the classification, and that the object can be classified in only one category. The section titled "The underlying concepts" further discusses the object and scope of NAPCS Canada.

The structure of NAPCS Canada is hierarchical. This type of classification system enables the collection, analysis and publication of data at different levels of detail, in a standardized way. The section titled "The classification structure and coding system" discusses the structure of NAPCS Canada in greater detail.

The purpose of standard classifications is to support the integration of data obtained from multiple sources by organizing the documentation, collection, processing, presentation and analysis of data in a systematic manner. Classifications are essential elements of a coherent and efficient statistical system.

NAPCS Canada has been developed to support the integration of product statistics. NAPCS Canada 2022 was approved as the departmental standard on September 24, 2021. The next section provides an overview of the product statistics domain to give a sense of the potential applications of the classification.

Historical background

The first version of NAPCS Canada, known as version 0.1, was published in 2007. It was the first in a series of developments to re-organize the system used to classify product data in Statistics Canada’s business and trade statistics programs.

The development of the classification started a few years earlier as a joint project of the national statistical agencies of Canada, Mexico and the United States. The NAPCS project followed the adoption by the three countries of a common industry classification, the North American Industry Classification System (NAICS) in 1997. The purpose of the NAICS project was to develop a standard that allowed comparisons of industry data among the three participating countries. The development of NAPCS was meant to serve the same purpose but for product statistics.

In the beginning, the trilateral project focused on developing a classification of service products. At that time, the national statistical systems produced much less information for services than for goods, and the development of a detailed standard classification for service products was seen as a necessary first step towards improving that component of the statistical system.

The first version of NAPCS Canada was largely based on unpublished trilateral work. The scope of the classification was limited to the products (outputs) of selected service-producing industries. Though presented as provisional, parts of the classification had been tested and used to collect product data in selected annual service industry surveys.^{Footnote 1} The classification also provided a basis to define service products in the Input-Output Commodity Classification (IOCC).^{Footnote 2} The simultaneous integration of NAPCS Canada in the collection system and the economic accounts made a significant contribution towards improving the coherence of product data.

At the time, NAPCS Canada (version 0.1) was complemented by several specific purpose classifications for the collection and publication of statistics concerning the supply and use of goods. Some of these classifications had the status of departmental standards, for instance the Annual Survey of Manufactures (ASM) - List of Goods, the Canadian Export Classification (CEC) and the Customs Tariff (CT). Others were not published as standard classification systems, yet were instrumental in the collection of product data. This included, for example, the classifications used to collect and organize data on the production of agricultural and mining products, and the classifications used to produce raw material price indices (RMPI) and industrial product price indices (IPPI).

The main weakness of the multi-classification system was the lack of integration between them. They had been developed at different points in time, sometimes on the basis of different criteria, to serve different purposes.

In particular, the lack of comparability between data on the domestic production of goods and the exports and imports of those same goods was seen as a significant shortcoming. The second phase in the development of NAPCS Canada addressed that issue.

NAPCS Canada 2007 was published in 2011. The scope of NAPCS Canada 2007 was limited to the universe of tradable goods, and it therefore complemented version 0.1 of NAPCS Canada whose scope was limited to selected services.

NAPCS Canada 2007 consisted of groups (3 digits) and classes (5 digits). The class level was developed to integrate the classifications used for production and international merchandise trade statistics. The approaches to integrate these classifications into NAPCS Canada had to differ however, due to constraints in their implementation.

In the case of international merchandise trade classifications, the approach consisted of using concordances. The classifications of exports and imports - the Canadian Export Classification (CEC) and the Customs Tariff (CT) - are derived from the Harmonized Commodity Description and Coding System (HS), a mandatory international classification maintained by the World Customs Organization (WCO). The concordance was developed between the classes of NAPCS Canada 2007 (5 digits) and those of the CEC and CT. This approach allowed for the presentation of import and export statistics on the basis of the HS as required by international agreement and on the basis of NAPCS as required for coherence of production and trade statistics within the Canadian statistical system.

The systems used to classify the domestic production of goods on the other hand are developed and maintained by Statistics Canada. The intent was to integrate those classifications as well as those used for industrial producer prices indices (IPPI) and raw material price indices (RMPI) at a level below the class level in a future version of NAPCS Canada.

The 5-digit classes of NAPCS Canada 2007 were aggregated into 3-digit groups. The group level was designed to serve two purposes:

• Provide analytical groupings to publish selected statistics.
• Provide a basis to define higher level categories of alternate structures or variants. The first variant was for the presentation of export and import statistics. The new higher-level categories replaced the summary import groups (SIG) and the summary export groups (SEG) that had been in use for several decades.

International merchandise trade statistics were first published on the basis of NAPCS in October 2012.

NAPCS 2007 represented an important step towards the greater harmonization of product statistics. In addition to providing a framework to integrate existing production and international trade statistics, it established an approach to further develop and complete the system. The approach was fully implemented in NAPCS Canada 2012 (version 1.0), published in 2013.

The main accomplishment of NAPCS Canada 2012 was to merge previous versions of NAPCS Canada and program-specific classifications^{Footnote 3} into a single system covering all goods and services. The classification system was designed to accommodate the needs and constraints of several business and trade statistics programs. The design of the classification is discussed in more detail in the section titled "The classification structure and coding system".

In addition to a traditional standard hierarchical structure, NAPCS Canada 2012 embedded a system to create variants of the standard classification for programs that required a more detailed classification (extension variants), or a different aggregation structure to meet different analytical needs (regrouping variants). The design of variants is discussed in more detail in the section titled "Classification variants".

Two updates to NAPCS Canada 2012 (versions 1.1 and 1.2) have been released, both in 2015. The updates were meant to improve the relevance and coherence of the classification. The most significant change was the addition of definitions for all categories, introduced in version 1.2. At the lowest level of the classification, definitions include a descriptive text, as well as illustrative examples, inclusions and exclusions where necessary. This finalized the development of NAPCS Canada into a complete standard statistical classification.

What is now renamed NAPCS Canada 2017 Version 1.0 was released on February 15, 2017, which constituted the first revision of the classification and was coordinated with the revision of North American Industry Classification System (NAICS).

Although NAPCS Canada revisions are planned to occur every five years, Statistics Canada needs to respond to the legalization of cannabis by measuring various aspects of the introduction of cannabis in the Canadian economy and society. An important part of measuring the economy and society is using statistical classifications. It is common practice with classifications that they are updated and revised as new industries, products, occupations and educational programs are introduced into the Canadian economy and society. The revision of NAPCS Canada 2017 Version 2.0 became necessary to respond to the legalization of cannabis for non-medical use, which brought new products on market that had an immediate impact in the Canadian economy and society. The new cannabis legal framework officially took effect on October 17, 2018.

NAPCS Canada 2017 Version 2.0 had been released so that statistical programs are ready for the new cannabis legal framework, and that users of NAPCS Canada have access to an updated product classification. At the same time, other parts of the classification were updated based on the needs to clarify some of the products in the classification.

NAPCS Canada 2022 Version 1.0 is released on March 31, 2022. It provides access to an updated product classification for statistical programs (see the document section related to the summary of changes).

The underlying concepts

Statistical classifications are built around three basic concepts: the object classified or statistical unit, the scope or universe of the classification, and the criteria used to group statistical units in standard categories. In the case of NAPCS Canada, two of these concepts – the statistical unit and the scope of the classification - are modelled on concepts of the 2008 System of National Accounts (SNA).^{Footnote 4}

The SNA provides the set of definitions, classifications and accounting rules to support the production of internationally comparable economic accounts. The concepts underlying the production account are particularly relevant for product classifications. They are described in detail in Chapter 6 (The production account) of the 2008 System of National Accounts (SNA) manual. The sections that follow provide a brief overview and relevant excerpts from it.

The statistical unit

The following are relevant excerpts from the 2008 SNA manual concerning the concept of product in economic accounts:

"Products are goods and services (including knowledge-capturing products) that result from a process of production." (paragraph 6.14)

"Goods are physical, produced objects for which a demand exists, over which ownership rights can be established and whose ownership can be transferred from one institutional unit to another by engaging in transactions on markets. They are in demand because they may be used to satisfy the needs or wants of households or the community or used to produce other goods or services." (paragraph 6.15)

"Services are the result of a production activity that changes the conditions of the consuming units, or facilitates the exchange of products or financial assets. These types of services may be described as change effecting services and margin services respectively. Change-effecting services are outputs produced to order and typically consist of changes in the conditions of the consuming units realized by the activities of producers at the demand of the consumers. Change-effecting services are not separate entities over which ownership rights can be established. They cannot be traded separately from their production. By the time their production is completed, they must have been provided to the consumers.... Margin services result when one institutional unit facilitates the change of ownership of goods, knowledge-capturing products, some services or financial assets between two other institutional units." (paragraphs 6.17 and 6.21)

"Knowledge-capturing products concern the provision, storage, communication and dissemination of information, advice and entertainment in such a way that the consuming unit can access the knowledge repeatedly... Whether characterized as goods or services, these products possess the essential common characteristic that they can be produced by one unit and supplied to another, thus making possible division of labour and the emergence of markets." (paragraph 6.22)

From these excerpts, the following elements emerge as fundamental to identify products:

• they are goods and services that result from production processes;
• they are in demand to satisfy the needs of households or the community, or used to produce other goods or services;
• they are produced by one unit and supplied to another; and
• they are transacted (bought, sold, transferred or placed in inventory).

The use of these criteria in combination excludes services produced for own use by households.

As is often the case, there are exceptions to the rules. NAPCS Canada includes a few products that do not result from production processes, namely recovered products such as recycled paper and plastics and used merchandise. These products result from a consumption process rather than a production process. They are however in demand and their inclusion allows for the measurement of significant transactions in selected surveys that use NAPCS Canada.

The scope of the classification

The SNA concepts underlying the production accounts were also used to determine the scope of NAPCS Canada. It is modelled on one of the five elements that define the production boundaries of the SNA.

"The production of all goods or services that are supplied to units other than their producers, or intended to be so supplied, including the production of goods or services used up in the process of producing such goods or services". (paragraph 6.27a)

This concept embodies both market and non-market goods and services.

In addition to the production of goods or services supplied to units other than their producers, the production boundary of the SNA includes the production of selected products for final consumption or capital formation by their producers, as well as the production of housing services by owner occupiers. This type of production is generally known as own account production.

NAPCS Canada does not separately identify products produced on own account. The inclusion of own account production in the production boundary of the SNA is more a matter of accounting than a matter of classification. From a classification point of view, products produced on own account can be classified in the same manner as those produced for others. For example, housing services produced by owner occupiers could be classified with housing services produced for market. The relevant category of NAPCS is class 76411 – Residential rents.

The inclusion or exclusion of assets is an issue often raised in discussions of the scope of product classifications. NAPCS Canada is a product classification, not an asset classification. As is the case in the SNA, assets and products are classified using different classifications in the Canadian system.

That said, most assets begin their life cycle as products resulting from a production process. These products later become assets by virtue of their use as capital in a production process. These are known in the SNA as non-financial produced assets, and they are products in NAPCS Canada. For example, this would include machinery and software.

So called non-financial non-produced assets however are out of scope for NAPCS Canada. The SNA describes these assets as "consisting of three categories: natural resources; contracts, leases and licences; and purchased goodwill and marketing assets". Though the assets are not in scope for NAPCS because they are not produced, the services of these assets are in scope since they are produced. For example, the services of natural resources assets are covered by NAPCS 6511121 - Licensing of rights to explore for or exploit renewable and non-renewable resources and the services of franchise assets are covered by NAPCS 6511114 - Franchising agreements.

Financial assets are also out of scope for NAPCS Canada.

The universe of NAPCS Canada can be summarized as follows:

Out of scope

• Financial assets
• Non-financial, non-produced assets (except the services related to them)

In scope

• Non-financial, produced assets (as products, not as assets)
• Market goods, intangible goods and services
• Non-market public goods and services
• Recovered and used products (even if not the result of production)

The classification criteria

The classification criteria refer to the attribute(s) of the statistical unit used to create the most detailed categories of the classification and to group them into analytical aggregates. The attribute used to create the most detailed categories of a classification must be observable and verifiable in the context of a statistical operation, or it must be possible to derive the information from a set of observed characteristics.

Some classifications are built by the systematic application of one or more criterion. The National Occupational Classification (NOC) is a good example of such a system. The NOC uses two attributes of jobs: the ten broad occupational categories are based on skill type and the categories within are largely based on skill level. The North American Industry Classification System (NAICS) also defines its most detailed categories on the basis of a single criterion whenever feasible; establishments are grouped into industries according to the similarity in the production processes used to produce goods and services.

Other classifications use mixed criteria to create detailed categories and groupings. NAPCS Canada falls into this category, in part, as a result of the nature of the classification, and in part as a result of characteristics inherited from classification systems embedded into it.

The universe of products is very diverse. NAPCS Canada recognizes close to 3,000 categories of goods and services at its most detailed level (7-digit) to represent that diversity. In theory though, it could include several times that number of detailed categories, but such a classification would not be sustainable in a statistical system. One of the challenges in building such a system is to develop useful criteria to identify a manageable number of detailed categories. Because the universe of products is so diverse, it is not possible to use a single criterion.

The criteria most commonly used to identify products in NAPCS Canada, separately or in combination, are:

• Physical characteristic of the product – For example, live animals are classified by species, ores and concentrates by type of metal or mineral deposit, and crude oil by density.
• Stage of processing – For example, unwrought metal products are distinguished from basic and semi-finished metal products, and pulp and paper products are distinguished from converted paper products.
• Technology or process – For example, cold-rolled steel products are distinguished from hot-rolled steel products, transportation services are distinguished by mode, and advertising space and time and broadcasting distribution services are classified by mode of delivery (in print, cable or satellite television, online (Internet), etc.).
• Purpose or intended use – For example, fresh potatoes are classified according to their intended use such as for table consumption, for processing or for seed; architectural and engineering services are classified according to the type of project into which they are embedded, education services by the nature of the program, and public administration services according to purpose served.
• Function – For example, fixed telecommunication are distinguished from mobile telecommunications, management services are classified according to the type of advice provided, and personal and personal care services are classified according to the need being fulfilled.

The number of categories at the most detailed level of NAPCS Canada reflects the accumulated and learning experiences with the implementation of product classifications.

The organization of detailed categories into higher level groupings is not based on a unique criterion either, but there is a dominant principle of organization nested in NAPCS Canada, the industry of origin.

This characteristic is inherited from classifications embedded into NAPCS Canada; many of these classifications had been developed to collect product data (outputs) for specific industries and the Supply and Use Classification of the Input-Output framework that underlies the class level of NAPCS Canada is very much based on an industry of origin model.

As a result, the presentation and organization of NAPCS Canada is similar to what is traditionally found used in industry classifications. The outputs of primary industries (agriculture, forestry and mining) appear at the beginning of the structure, followed by those of manufacturing industries, transportation services industries, trade industries, and other services producing industries.

The approach used in NAPCS Canada to create detailed categories and group them into analytical groupings is not unique. The United Nations Central Product Classification (CPC) and the Eurostat Standard Classification of Product by Activity (CPA) use a similar approach. The CPC and CPA are comparable to NAPCS Canada in purpose and in scope.

The classification structure and coding system

NAPCS Canada contains a standard classification structure and standard variants of that structure. The standard structure is intended for broad use, whereas each variant is designed to meet a specific user need.

The standard classification structure

The standard classification structure is hierarchical, that is, a structure where categories at the lower levels are aggregated into the next higher level. It comprises four levels; group, class, subclass and detail. The table below provides the number of categories within each of these levels.

NAPCS Canada 2022 Version 1.0

The advantage of hierarchical classifications is that they enable the collection, dissemination and analysis of data at different levels of detail, in a standardized way. For example, a survey program may collect data using the most detailed level of the classification but publish data at a higher level to protect confidentiality.

NAPCS Canada is unique in that each level of the hierarchy has been designed with a particular use in mind. This approach was adopted in recognition that different product statistics programs can support a more or less detailed classification, and to facilitate the integration of different types of product data. The main purpose of each level of the classification is described below, from the most detailed to the most aggregated level.

The detail level (7-digit) of the classification was designed to be the most precise for which business statistics programs would collect and publish data on the outputs of industries. This level of the classification is most commonly used in annual industry surveys to collect data on revenues by type of goods or services produced.

The primary purpose of the subclass level (6-digit) is to support the production of price indices for the products defined in NAPCS Canada. At the time of publishing of NAPCS Canada 2022, this use was limited to the production of industrial product price indices (IPPI), raw material price indices (RMPI) and international merchandise trade price indices (IMTPI). The IPPI program measures price changes at the factory gate for products sold by Canadian manufacturers and the RMPI program measures price changes for raw materials purchased by Canadian industries for further processing. The universe of industrial products and raw materials represents about half of the subclasses of NAPCS Canada. The IMTPI measures price changes for imported and exported goods.

The class level (5-digit) is the target level to produce coherent statistics in current and constant dollars on the supply and use of products, including the production, imports, exports and consumption of products. It is at the core level of the classification. As mentioned earlier in the introduction, the input-output accounts provide the framework to integrate product statistics into a coherent system that describes the supply and use of goods and services in our economy. For that reason, the Supply and Use Product Classification (SUPC) used for the production of input-output tables is largely embedded at the level of NAPCS Canada.

Finally, the group level (3-digit) provides higher level aggregates primarily for presentation and analytical purposes. This level is also the basis to define alternative aggregation structures, known as regrouping variants (discussed in the next section).

NAPCS Canada 2022 uses a traditional hierarchical coding system where the code of a child adds a digit to the code of the parent. The classification of crude oil and bitumen (group 141) shown below illustrates how the coding system works.

The reader will note that a category at a lower level can be identical to a category at the next higher level; in the example above, synthetic crude oil is found at the detail (1411311), subclass (141131) and class (14113) levels. This approach ensures that the classification is comprehensive at every level.

In addition to codes and titles, NAPCS Canada provides definitions to help users understand the intended scope of each category and facilitate implementation. The definitions are constructed based on a set of guidelines developed by the Neuchâtel group of the United Nations Economic Commission for Europe (UNECE);^{Footnote 5} and guidelines from the Generic Statistical Information Model (GSIM) – Statistical Classifications Model. The definition at the most detailed level includes:

• A general description of the category
• A list of illustrative examples
• Where necessary, a list of borderline cases that belong to the category (inclusions)
• Where necessary, a list of borderline cases that do not belong to the category with a reference to the classification codes to which the excluded cases belong (exclusions).

Classification variants

Standard classifications are essential components in a coherent statistical system. That said, it is impossible for a single classification to serve all analytical needs. This limitation of standard classifications is well recognized in the field and has been addressed by the development of standard classification variants, of which there are two types:

• Extension variants add one or several levels below the most detailed level of the standard classification by splitting categories of the standard classification.
• Regrouping variants add one or several levels above a level of the standard classification by regrouping categories of the standard classification.

Typically, classification variants are subject-specific and are narrower in scope than the complete standard classification. They are not meant to replace the standard, but rather to complement it by adding new categories where needed (extension variants), or enhancing the analytical usefulness of the classification by changing its organization (regrouping variants). Ideally, statistical programs that adopt a classification variant can also present data on the basis of the standard classification.

There are now eight variants of NAPCS Canada 2017: All these variants will be updated later to reflect the new NAPCS Canada 2022 Version 1.0; they are not yet available at the day of the release of this standard version:

• Agricultural goods (extension variant) - This variant adds two additional levels (8 and 9 digits) below the detailed categories of NAPCS Canada 2022 Version 1.0 covering farm and unprocessed fish products.
• Capital expenditures (CAPEX) on non-residential construction (regrouping variant) - This variant defines two new high-level aggregates (sections and divisions). The divisions result from the regrouping of standard classes (5-digit) of NAPCS Canada 2022 Version 1.0 covering non-residential buildings, civil engineering works (infrastructures), selected mining and oil and gas support services, and selected remediation services. The codes for the added sections and divisions are alphanumeric. The variant replaced a program specific classification in use since 1965.
• Computer and peripherals price index - CPPI (extension variant) - This variant adds two additional levels (8 and 9 digits) below the detailed categories of NAPCS Canada 2022 Version 1.0 covering computers, computer peripherals and smartphones.
• Farm Products Price Index - FPPI (regrouping variant) - This variant defines a new aggregate level (sections) by regrouping 3-digit categories of NAPCS Canada 2022 Version 1.0 covering farm products. Other aggregate levels were also created to regroup 5, 6 and 7-digits categories, where needed. An additional level of detail (8 digit) was kept as it is shared with the Agricultural goods extension variant. The coding for the new levels is alphanumeric.
• Industrial Product Price Index - IPPI (regrouping variant) - This variant defines a new aggregate level (sections) by regrouping 3-digit categories of NAPCS Canada 2022 Version 1.0 covering products sold by Canadian manufacturers. The coding for the new sections is alphanumeric. The variant replaced a program specific classification (Principal Commodity Groups or PCG) in use since the early 1980s.
• Manufacturing and Logging (extension variant) - This variant adds an extra 8-digit variant code (level 5), under the 7-digit standard classification’s detail code (level 4). These extra digit variant codes essentially cover areas related to wood and lumber products for NAPCS Canada 2022 Version 1.0.
• Merchandise import and export accounts (regrouping variant) - This variant defines two new high-level aggregates (sections and divisions). The divisions result from the regrouping of standard groups (3-digit) of NAPCS Canada 2022 Version 1.0 covering imported and exported merchandise. The codes for the added sections and divisions are alphanumeric. The variant replaced the summary import groups (SIG) and summary export groups (SEG) that were in use for several decades.
• Raw Materials Price Index - RMPI (regrouping variant) - This variant defines a new aggregate (sections) by regrouping 3-digit categories of NAPCS Canada 2022 Version 1.0 covering raw materials processed by Canadian manufacturers. The coding for the new sections is alphanumeric. The variant replaced a program specific classification (Principal Commodity Groups or PCG) in use since the early 1980s.

Relationship to other classifications

North American Industry Classification System (NAICS) Canada

NAICS Canada is the official standard to group Canadian establishments into industries. It supports the collection, processing and dissemination of industry-based statistics.

The introduction of the NAICS manual describes the classification as "...an industry classification system developed by the statistical agencies of Canada, Mexico and the United States. Created against the background of the North American Free Trade Agreement, it is designed to provide common definitions of the industrial structure of the three countries and a common statistical framework to facilitate the analysis of the three economies."

NAICS Canada and NAPCS Canada are fundamentally different in that they have their own purpose, underlying concepts and scope. The table below outlines the basic characteristics of the two systems to illustrate those differences.

Though different, these systems are complementary in that they provide the underlying classification frameworks for the country's production accounts.

Though it is the case that many products are entirely or mostly produced by one industry, it is not always so. For example, meals are mostly produced and consumed in food services establishments, but are also produced in hotels, cinemas, supermarkets and schools. It is also worth noting that product classifications are used outside the scope of industry statistics; for some uses, knowing the industrial origin of products is neither useful, nor desirable.

Supply and Use Product Classification (SUPC)

In the first section of the introduction, the purpose of NAPCS Canada is described as supporting the integration of product data obtained from multiple sources by organizing the documentation, collection, processing, presentation and analysis of data.

In practice, the source for integrated product data is the Input-Output Account (IO) of the Canadian System of Macroeconomic Accounts (CSMEA). The IO provides the set of definitions, classifications and accounting rules necessary to produce balanced industry and commodity accounts which highlight the sources of supply and demand in the economy. The Supply and Use Product Classification (SUPC) is the basis for the commodity accounts. Making the SUPC an integral part of NAPCS Canada was a necessary condition to achieve the stated objective.

The SUPC has been integrated into NAPCS Canada at the class level (5-digit) where conceptually and practically feasible, and the SUPC has been adapted to conform to NAPCS Canada where possible. There are, however, a small number of conceptual and practical constraints that prevent embedding the SUPC into NAPCS entirely. The most significant differences are conceptual in nature.

The first conceptual difference concerns the scope of the two classifications.

The SUPC includes a number of imputed, non-market, fictive and primary input (e.g., labour and capital) commodities that are out-of-scope for NAPCS. The inclusion of these commodities in the SUPC is required to implement SNA accounting concepts.

NAPCS includes a number of intellectual property products that are out of scope for the SUPC, namely intellectual property produced on own account for sale with all-attendant rights. The inclusion of these commodities in NAPCS results from trilateral agreement. The rationale for inclusion is that these types of intellectual properties are produced by one unit and supplied to another. The data to fully implement this part of the classification are not available.

The second conceptual difference concerns the use of different classification criteria.

In finance and education services in particular, NAPCS Canada uses criteria agreed to in trilateral development work. These criteria are thought to be more representative of the specific services than reflecting the institutional organization delivering the services, as found in the existing classification. To date, the data to fully implement NAPCS are not available. As well some of the NAPCS detail in finance services is not consistent with CSMEA concepts.

Though these differences are real, the goal of integrating the SUPC into NAPCS has largely been achieved. More than 80% of the remaining categories of NAPCS classes coincide with those of SUPC, and the remaining 20% or so are splits or groupings of SUPC categories.

Central Product Classification (CPC)

The CPC is an international standard to classify all goods and services. It is published by the Statistics Division of the Department of Economic and Social Affairs of the United Nations.

The CPC is very similar to NAPCS Canada in concept, purpose and scope. The introduction of the CPC manual describes it as follows:

"The Central Product Classification (CPC) constitutes a complete product classification covering all goods and services. It serves as an international standard for assembling and tabulating all kinds of data requiring product detail, including statistics on industrial production, domestic and foreign commodity trade, international trade in services, balance of payments, consumption and price statistics and other data used within the national accounts. It provides a framework for international comparison and promotes harmonization of various types of statistics related to goods and services."^{Footnote 6}

The similarity extends to the general organization of the classification. Like NAPCS Canada, the CPC is a four-level hierarchical classification that contains a similar number of detailed categories.

NAPCS Canada is not fully compatible with the CPC. In order to do so, it would have been necessary for the most detailed categories of NAPCS Canada to coincide with, be grouped or be subset of, the most detailed categories of the CPC. This would have required changes to the national classification not possible at this time.

It is the intent to develop and publish a concordance between the two systems that will assist users in understanding the similarities and differences between them.

Harmonized Commodity Description and Coding System (HS)

The HS is the international standard used by more than 200 countries, including Canada, to classify and measure international merchandise trade. Like NAPCS Canada, the HS is a product-based system, but its universe is limited to transportable goods. These HS goods are mostly covered by groups 111 to 482 of NAPCS Canada.

The HS is a more detailed classification than NAPCS Canada; at its most detailed level (sub-heading or 6-digit), it recognizes more than 5,000 goods. The HS generally classifies detailed goods on the basis of the following attributes: component material, degree or stage of processing, and use or function.

The structure of the HS is different than the structure of NAPCS Canada and no attempt was made to integrate it into NAPCS Canada. Doing so would have made it more difficult to achieve the main objective of NAPCS Canada, that of integrating several Canadian classifications into a single standard classification. That said, the class level (5-digit) of NAPCS Canada is by design a bridge level between various classifications, and the most detailed categories of the HS map well to the class level of NAPCS Canada.^Footnote7

Extended Balance of Payments Services Classification (EBOPS) 2010

The EBOPS is the international standard to classify and measure international trade in services. It can be seen as a complement to HS for the classification and measurement of international trade in goods and services.^{Footnote 8} A version of EBOPS is used in the Canadian Balance of Payments Accounts.

At its highest level, the 2010 version of EBOPS recognizes twelve broad service categories, which are further sub-divided into a small number of detailed categories.

For the most part, the EBOPS is a product-based classification system. For those categories that are product based, it is theoretically possible to create a concordance between EBOPS and more detailed product classifications like NAPCS Canada. Such a concordance has already been developed between the Central Product Classification (CPC) of the United Nations and EBOPS,^{Footnote 9} and the CPC is similar to NAPCS Canada in concept, purpose and scope.

However, there are three broad categories that are defined on the basis of the entity engaged in the trade activity or the mode of consumption, rather than on the basis of the type of service traded. These categories are travel, construction and government goods and services. The use of different classification criteria in these cases makes it difficult to develop a concordance between the classifications systems. This is especially true for the travel category, which includes traveller expenses on a range of goods and services. There is a need for convergence of product classifications of industry and trade for comparative purposes.

Trilateral North American Product Classification System (NAPCS)

The trilateral NAPCS 2017 is a six-level hierarchical structure consisting of 24 sections, 61 subsections, 172 divisions, 276 groups, 497 subgroups, and 1,167 trilateral products^{Footnote 10}. At this time, the trilateral NAPCS structure is a reference classification system for beta testing. The development of the trilateral version of NAPCS^{Footnote 11} has had a significant influence on the development of NAPCS Canada.

As part of their common classification development work, the three national statistical agencies reconsidered the traditional approaches in the organization of industry and product classifications. In particular, there were numerous discussions regarding the relevant classification criteria for each type of classification.^{Footnote 12} In the case of the product classification, the conclusion was that the analytical needs of users of product data would be better served if the aggregation structure emphasized demand-based attributes of products rather than supply-based attributes of products. This is a departure from the existing practice of emphasizing the industry of origin of products, clearly a supply-based attribute. The new structure emphasizes attributes such as the substitutability of products, the complementary nature of products, or the similarity in markets being served by the products.

NAPCS Canada does not embed the new approach. Doing so would have been too disruptive and would have complicated the task of moving from a multi-to-single product classification system. Instead, NAPCS Canada uses a more traditional aggregation structure, more or less based on the industry of origin of products.

That said, the approach adopted for the trilateral NAPCS is a useful exercise. The most detailed categories of NAPCS Canada have been defined so as to permit mapping into the most detailed trilateral categories. This means that the Canadian detailed categories can be re-organized using the trilateral aggregation structure. In effect, the trilateral aggregation structure becomes a regrouping variant of the Canadian aggregation structure, with few exceptions. The availability of data at the most detailed level of NAPCS Canada will continue to influence the extent of the trilateral work.

Summary of changes from NAPCS Canada 2017 Version 2.0 to NAPCS Canada 2022 Version 1.0

In NAPCS Canada 2022 Version 1.0, the Generic Statistical Information Model (GSIM) is used to identify the types of changes made to the classification. Real changes are those affecting the scope of the existing classification items or categories, whether or not accompanied by changes in the title, definition and/or the coding. Virtual changes are those made in coding, titles and/or definitions, while the meaning or scope of the classification item remains the same. The "real changes" are the most important ones for analysis.

Changes can occur at all levels of the classification. A complete list of all changes at all levels of NAPCS Canada is released as a separate correspondence table and is available at the following link: NAPCS Canada 2017 v2.0 - NAPCS Canada 2022 v1.0 - structural and content changes.

North American Product Classification System (NAPCS) Canada 2017 V1.0 to North American Product Classification System (NAPCS) Canada 2017 V2.0 based on GSIM (statcan.gc.ca). The list of changes at all levels of the classification can also be obtained upon request, in Excel format, from Statistics Canada at: statcan.csds-standardsproducts-cnsd-normesproduits.statcan@statcan.gc.ca.

Here are some examples of real changes:

Creation of new classification items

Seven classification items or categories were added as "new" in NAPCS Canada 2022 Version 1.0.

Statistics Canada approved a new classification of gender in October 2021 according to the new gender variable, which is a department standard. This standard on gender better reflects how Canadians describe themselves and addresses information gaps on Canada's transgender population, including the non-binary population, while maintaining the same high standards for quality and historical comparability of the data. The goal is also to improve data quality by clarifying the concept of sex used to-date. Statistics Canada makes the necessary efforts to adapt these social changes in our statistical classifications, when possible.

A request for change in NAPCS Canada was received regarding the order in which footwear at retail is classified in NAPCS Canada, splitting first by type and then by gender (currently it was reversed). Following extensive research Statistics Canada has done on sex and gender variables, and their relationship with goods sold, NAPCS Canada will now follow recommendations to add a third non-binary category wherever men and women’s categories are specified. This change mainly affected the clothing and footwear in the areas of manufacturing, retail and wholesale. In most cases, men’s, women’s and children’s breakdown became men’s, women’s, non-binary’s and children’s. Non-binary’s footwear will not be its own standalone category (industry use footwear gender as a reference to size, NAPCS Canada does not classify based on sizes). For NAPCS Canada 2022 Version 1.0, non-binary’s footwear with men’s sizing will be included as examples under men’s footwear, and non-binary’s footwear with women’s sizing under women’s footwear (see group 231). This is a ruling that could be revisited again in the future (see NAPCS Canada group 231, more specifically in the detail category NAPCS Canada 2312213 Non-binary and gender neutral’s non-athletic footwear).

Other new classification items that were added as a result of new emerging products in the economy, statistical demands and requests from survey programs are included in the NAPCS Canada 3-digit group level 261 Refined petroleum energy products (including liquid biofuels), and more specifically in the detail categories NAPCS 2612132 Other biofuels (except biodiesel and aviation biofuels) and NAPCS 2612222 Other renewable diesel fuels. In NAPCS class 56111 (Food at retail) a new 7-digit detail category is created - Other foods, including in bundle, n.e.c. at retail (see 5611124). In NAPCS subclass 561611 a new 7-digit detail category is created (see 5616112 Automotive alternative fuels, at retail). In NAPCS subclass 751114 Other information technology (IT) infrastructure provisioning services 2 new 7-digit detail categories were created: see 7511146 Infrastructure as a service (except data storage infrastructure provisioning and 7511147 Platform as a service.

Combination of classification items

Combinations consist of mergers and take-overs among classification items. Essentially, new groupings were created with the intent to re-organize the classification. In NAPCS Canada 2022 Version 1.0, 18 classification items or categories resulted in mergers, for example:

• cannabis extracts and concentrates (see new subclass 213136)
• cannabis extracts and concentrates, at wholesale (see new subclass 551213)
• cannabis extracts and concentrates, at retail (see new subclass 561134)
• non-binary and gender-neutral clothing; hosiery; vestments and costumes; and clothing accessories (see new subclass 231151)
• non-athletic footwear (except for children and infants) (see new subclass 231221)
• food at retail (see new class 56111)
• frozen food, packaged food dry goods (see new subclass 561112)
• soft drinks and beverages at retail (see new subclass 561113)
• health centres, clinics and other health care buildings n.e.c. (see new subclass 622133)
• museums and libraries (see new subclass 622134)
• museums, art galleries, and public archives (see new subclass 622134)

Decomposition of classification items

About 307 classification items or categories are a result of either a breakdown or a split. The majority of the "real changes" were decompositions. The most important changes, in terms of the number of categories affected, are related to NAPCS Canada group 622 – non-residential buildings, particularly, in the areas of NAPCS class 62212 – commercial buildings and NAPCS class 62213 – institutional buildings.

Another important change occurred in categories related to NAPCS Canada group 411 – passenger cars and light trucks, and creation of new subclass in NAPCS Canada 41113 for electric vehicles (EV) cars reflecting new emerging products. New categories were created for electric and hybrid passenger vehicles and light-trucks, vans and SUV:

Two 5-digits codes (including ten new 7-digit codes):

• 41113 Passenger cars with electric motor and hybrid engine
• 411131 Full electric motor passengers cars
• 4111311 Full electric motor passengers cars
• 411132 Plug-in hybrid passenger cars
• 4111321 Plug-in hybrid passenger cars with gasoline engine
• 4111322 Plug-in hybrid passenger cars with diesel engine
• 411133 Non-plug-in hybrid passenger cars
• 4111331 Non-plug-in hybrid passenger cars with gasoline engine
• 4111332 Non-plug-in hybrid passenger cars with diesel engine
• 41114 Light trucks, vans, and sport utility vehicles (SUVs) with electric motor and hybrid engine
• 411141 Full-electric motor light trucks, vans and sport utility vehicles (SUVs)
• 4111411 Full-electric motor light trucks, vans and sport utility vehicles (SUVs)
• 411142 Plug-in hybrid light trucks, vans and sport utility vehicles (SUVs)
• 4111421 Plug-in hybrid light trucks, vans and sport utility vehicles (SUVs) with gasoline engine
• 4111422 Plug-in hybrid light trucks, vans and sport utility vehicles (SUVs) with diesel engine
• 411143 Non-plug-in hybrid light trucks, vans and sport utility vehicles (SUVs)
• 4111431 Non-plug-in hybrid light trucks, vans and sport utility vehicles (SUVs) with gasoline engine
• 4111432 Non-plug-in hybrid light trucks, vans and sport utility vehicles (SUVs) with diesel engine

Other examples of decomposition-type changes are related to the addition of more detailed classification items for:

• pulse flour (see subclass 182124)
• cannabis extracts and concentrates (see detail category 2131321) broken down into cannabis pure intermediates (see detail category 2131351), cannabis extracts inhaled and ingested products (see detail categories 2131362, 2131363, 2131364, 2131365). Other cannabis extracts (see detail category 2131369)
• other cannabis products, n.e.c. (see subclass category 213134);
• other manufactured goods such as:
  • electronic cigarettes and e-liquids (except containing cannabis) has been transferred from other electrical equipment and components, n.e.c. (see subclass 381253) into tobacco products group (see subclass category 212113);
  • other chemical products (see subclass 272136);
  • thermosetting resins, except biodegradable (see class 28113);
  • biodegradable plastic resins (see class 28114);
  • polyethylene resins (see class 28112);
  • non-binary and gender-neutral clothing; all hosiery; and vestments (see subclass 231151);
• retail sale, decompositions include:
  • cannabis products (see class 56113);
  • footwear (see class 56124);
  • retail trade commissions (see subclass 562111);
• wholesale, decompositions include:
  • other recyclable materials (see subclass 551184);
  • non-agricultural chemicals, and plastic and rubber basic products (see subclass 551186);
  • cannabis products, at wholesale (see new class 55121)
• Software and software licensing, decompositions include:
  • Software as a service on cloud, general application (see subclass 482131);
  • Software as a service on cloud, system and programming software (see subclass 482111);
• Parts and accessories of musical instruments (see detail category 4753413);
• waste and scrap of plastic (see subclass 158111);
• financial services (except insurance)
  • brokering and dealing of other financial instruments (see detail category 7616181) broken down into brokerage or dealing services of cryptocurrency (virtual currency) (see detail category 7616182) and brokerage and dealing of other financial instruments (see detail category 7616189)

Transfer of classification items or their parts

E-book readers devices were transferred from NAPCS subclass 362212 – Television and other audio and video equipment to NAPCS subclass 361111 – Computers.

Parts of musical instruments transferred from NAPCS class 36221 – Television and other audio and video equipment to NAPCS class 47534 – Musical instruments.

Electronic cigarettes were transferred from NAPCS subclass 381253 – Other electrical equipment and components, n.e.c to NAPCS subclass 212113 – Electronic cigarettes (except containing cannabis).

E-liquids were transferred from NAPCS class 27213 – Chemical products, n.e.c. to NAPCS class 21211 – Cigarettes (including electronic cigarettes), cigars, chewing and smoking tobacco.

Hosiery transferred from NAPCS class 23112 -Women's clothing and NAPCS class 23114 – Clothing accessories, vestments, costumes and unisex clothing to a new 5-digit NAPCS class 23115 – Non-binary and gender-neutral clothing; hosiery; vestments and costumes; and clothing accessories.

Leather shoelaces were transferred from NAPCS subclass 231312 – Other leather and allied products to NAPCS subclass 231214 – Other footwear, with their own new 7-digit detail category 2312199.

Motorized tricycles were transferred from NAPCS subclass 442124 – Motorcycles, golf carts, and other land vehicles n.e.c. to new NAPCS 7-digit detail category 4421241 – Motorcycles and motor tricycles.

Virtual changes

Ninety-six classification items were modified as a result of a virtual change where changes were made to codes, titles and definitions without affecting the scope or meaning of the existing classification items. These types of changes are important for clarification and making necessary updates or corrections. Some titles and definitions were modified. For instance, an example of crowdfunding services is added to detail category 7811371 as this is a new emerging and fast growing service, and new examples and definitions are added in health and education intermediary services offered online (see NAPCS Canada groups 811 and 821 respectively). An example is added in detail category 7761331 Translation, interpretation and stenographic services, and related services offered online. The definition of butter and dry canned dairy products (see class 17312) has expanded to specify dairy substitutes. Also, new examples of non-dairy such as non-dairy yogurt alternative, and non-dairy ice-cream alternative were added to improve the examples.

The definition of electricity generated was modified to harmonize the use of the term "electricity generated" instead of "electric power generated." (see subclass 146111).

Finally, all changes made (real or virtual) can potentially have an impact on the content of the classification index file, which contains inclusions, illustrative examples and exclusions. More than 2,380 inclusions and illustrative examples and more than 550 exclusions have been either added, deleted or edited in the NAPCS Canada 2022 Version 1.0. The classification index file supports coding of products and fosters fluidity when reading or using the classification.

Changes in NAPCS Canada 2022 Version 1.0 relative to NAPCS Canada 2017 Version 2.0

Product data in the Canadian statistical system

Product statistics can be described as those that inform on different aspects of the supply and use of goods and services in the economy, such as the value and quantity of goods and services produced by industries, the value and quantity of goods and services consumed by industries and households, the value and quantity of imports and exports of goods and services, and price changes at different points in the distribution chain. These statistics are collected by various surveys or obtained from administrative sources, and integrated into the country’s economic accounts.

Product statistics are ubiquitous in the statistical system. The few examples below are by no means exhaustive; the purpose is to provide the reader a sense of the variety of statistical programs collecting and producing such statistics, and identify those that are using NAPCS Canada or are planning to do so at the time of publishing NAPCS Canada 2022 Version 1.0.

Statistics Canada’s business and trade statistics programs are the main sources of product statistics. They administer hundreds of monthly, quarterly, annual and ad hoc programs, most of which collect product data.

Among these many programs are so-called industry surveys; they are designed to measure the contribution of specific industries to the Canadian economy. Industry surveys typically collect data on the revenues, expenses and employment characteristics of establishments, and the revenue and expense components of these surveys generally gather data by type of goods or services produced and used. The majority of industry surveys are part of the agency’s Integrated Business Statistics Program (IBSP) and use, or plan to use, NAPCS to classify revenues by type of goods or services produced. The following are a few examples of surveys that fall in this broad category:

• The Annual Survey of Manufacturing and Logging Industries (2103)
• The Annual Wholesale Trade Survey (2445)
• Annual Survey of Service Industries: Software Development and Computer Services (2410)
• Annual Survey of Service Industries: Amusement and Recreation (2425)

The business and trade statistics programs also comprise several programs designed specifically to gather product data. Two of these programs are large in scope and based on NAPCS, albeit in very different ways:

• The Retail Commodity Survey (2008)
• Canadian International Merchandise Trade (2201 and 2202)

The retail commodity survey collects data on retail sales for more than 100 categories of commodities from Canadian retailers. The classification of commodities used for collection is compatible with NAPCS.

The Canadian international merchandise trade program is based primarily on administrative data obtained from the Canadian Border Services Agency (CBSA) and the U.S. Customs Border Protection (via the U.S. Census Bureau). By virtue of an international agreement, the coding of Canadian exports and imports must be based on the Harmonized Commodity Description and Coding System (HS) maintained by the World Customs Organization (WCO). The relationship between the HS and NAPCS is defined by concordances; a more detailed description of this approach is provided in the section titled "The methods for implementing the classification".

In addition to the retail commodity survey and the Canadian international merchandise trade statistics program, business and trade statistics programs include several surveys that collect data (value and/or quantity) on the production, disposition, consumption or sales of specific goods. Though these surveys were not designed on the basis of NAPCS, they often are NAPCS compatible, at least in part. The following are a few examples of surveys that fall in this category:

• Fruits and Vegetables Survey (3407)
• Maple Products (3414)
• Monthly Refined Petroleum Products (2150)
• Crude Oil and Natural Gas (2198)
• Annual Industrial Consumption of Energy Survey (5047)

Price indices are core product statistics. Statistics Canada tracks the movements of prices in a variety of markets with more than thirty statistical programs. Three major price programs have adopted NAPCS to produce their indices:

• Industrial Product Price Index Program (IPPI) (2318). The IPPI measures price changes at the factory gate for commodities sold by manufacturers in Canada.
• Raw Material Price Index Program (RMPI) (2306). The RMPI measures price changes for raw materials purchased by industries in Canada for further processing.
• International Merchandise Trade Price Index (IMTPI) (2203). The IMTPI measures price changes for imported and exported goods.

The remaining price programs, including the Consumer Price Index (CPI), use program specific classifications not based on NAPCS, though some are NAPCS compatible.

The business and trade statistics programs also comprise a number of programs that do not, strictly speaking, measure an aspect of the supply and use of goods and services, but that do have a product dimension. The two best known ones are:

• Annual Survey of Research and Development in Canadian Industry (RDCI) (4201)
• Annual Capital and Repair Expenditures Survey (CAPEX) (2803)

Though NAPCS Canada was not primarily designed for this type of application, it is possible in some instances to develop NAPCS compatible classifications for use in such programs. For instance, the component of the RDCI that measures research and development expenditures by field of science is compatible with NAPCS, as is the component of the CAPEX that measures capital expenditures on non-residential construction.

While product statistics are common in business and trade statistics programs, they are rare in household statistics programs. The one major exception is the Survey of Household Spending (3508). It collects household expenditures on the basis of a detailed survey specific classification that was designed prior to the introduction of NAPCS.

The various product statistics described above are of interest by themselves, but their full analytical value resides in their integration into a coherent accounting framework. That is the role of the Canadian System of National Accounts (CSNA).

The CSNA has several accounts designed to "measure activities associated with the production of goods and services, the sales of goods and services in final markets, the supporting financial transactions, and the resulting wealth positions."^{Footnote 13} Among these, the input-output accounts provide the framework to integrate product statistics from a variety of sources into a system that describes the supply and use of goods, services and production factors in our economy. The supply and use product classification (SUPC)^{Footnote 14} underlies that framework; several versions have been developed over time. In order to achieve the objective of improving the coherence of product-level data in the Canadian statistical system, the SUPC has been incorporated into NAPCS Canada where feasible, starting with the 2009 version of the SUPC. It is the intent to maintain this integration in the future.

There are a number of conceptual and practical constraints that prevent embedding the SUPC into NAPCS entirely. That said, the integration of the classifications used for the collection and assembly of product data and the classification used to create input-output tables in a single classification is a key feature of NAPCS Canada, the feature that will contribute most to improving coherence.

The development of NAPCS Canada was a progress of process done over a period of time. The next section provides an overview of its development and implementation history.

The methods for implementing the classification

There are three main methods for implementing NAPCS Canada: by integrating the relevant components of the classification in survey instruments, by coding on the basis of descriptions supplied by respondents, and by forced concordances.

The integration of the classification in survey instruments is a method commonly used in industry surveys to collect revenue by type of good or service produced (sold) as well as in surveys dedicated to the collection of commodity data. Since these two types of surveys target homogeneous populations, it is possible to identify the relevant components of NAPCS Canada at the time of their design. For example, a survey targeting accounting firms would embed the products of NAPCS classes 77121 - Accounting, tax preparation, bookkeeping and payroll services and 77511 - Management consulting services since the products of these classes represent the most likely sources of revenues of these firms. For the same reason, a survey targeting retailers would embed the products of NAPCS group 561 - Retail services (except commissions) and selected products from groups 571 - Repair and maintenance services (except for buildings and motor vehicles) and 581 - Rental and leasing (except rental of real estate).

This is the most commonly used method for implementing NAPCS Canada. The main challenge with this method is to develop reporting guides that support a consistent interpretation of the classification by respondents.

Coding on the basis of descriptions supplied by respondents is very common for industry and occupation statistics, but not so for product statistics. This is very much a function of the source of information for coding.

Industry coding is largely based on business activity descriptions from administrative records and occupation coding is largely based on descriptions supplied by individuals participating in broad scope surveys such as the Labour Force Survey or the Census of Population. In both cases, the coding exercise requires choosing among all the available codes of the relevant classification. In the product statistics domain, coding is mostly done by respondents to industry and commodity surveys; coding based on descriptions supplied by respondents is generally restricted to unallocated revenues in those surveys.

Automated and computer assisted coding are commonly used for this type of coding exercise. It consists of comparing respondents’ supplied descriptions to a bank of coded descriptions. The main challenge with this method is to obtain sufficiently rich information from respondents to assign codes at the most detailed level of the classification.

As discussed earlier, the implementation of NAPCS Canada in the international merchandise trade statistics program is achieved by forced concordances. Each of the most detailed categories the Canadian Export Classification (CEC) and the Customs Tariff (CT) is linked to one of the five-digit classes of the standard classification. The CEC and CT are derived from the Harmonized Commodity Description and Coding System (HS), the mandatory classification for the coding and declaration of goods imported into Canada or exported from Canada.

The forced concordance approach is only viable if the systems being linked are based on similar concepts and are sufficiently comparable. The HS and NAPCS have been developed independently to serve different purposes and not always compatible. That said, because the concordances are done at the relatively aggregated class level of NAPCS, most of the inconsistencies between the HS based systems and NAPCS are eliminated.

At the time of publishing of NAPCS Canada 2022 Version 1.0, this was the only application of the forced concordance method.

Notes

NOTE: Definitions for terms used in Frontier Counts are based on the United Nations World Tourism Organization's International Recommendations for Tourism Statistics 2008. However, in some cases, they are modified to align with the Canadian context.

Bold text in definitions invites readers to cross-reference other terms in this glossary for additional details.

Release date: March 31, 2022

Status

This standard was approved as a departmental standard on September 24, 2021.

NAPCS Canada 2022 Version 1.0

HTML Format

• Introduction
• NAPCS Canada 2022 Version 1.0 - Classification structure

CSV Format

• NAPCS Canada 2022 Version 1.0 - Classification structure (CSV, 936.11 KB)
• NAPCS Canada 2022 Version 1.0 - Elements (CSV, 7.68 MB)

PDF Format

• NAPCS 2022 Version 1.0 (PDF, 9.56 MB) (catalogue no. 12-003-X)

Correspondence tables

• NAPCS Canada 2017 v2.0 - NAPCS Canada 2022 v1.0 - structural and content changes

Variants of NAPCS Canada 2022 Version 1.0

• Variant of the North American Product Classification System (NAPCS) Canada 2022 Version 1.0 for Agricultural goods (extension variant) Variant of NAPCS Canada 2022 Version 1.0 - Agricultural goods (extension variant) (CSV, 239.25 KB)
• Variant of the North American Product Classification System (NAPCS) Canada 2022 Version 1.0 for Capital expenditures (CAPEX) on non-residential construction (regrouping variant) - forthcoming
• Variant of the North American Product Classification System (NAPCS) Canada 2022 Version 1.0 for Farm Product Price Index - FPPI (regrouping variant) Variant of NAPCS Canada 2022 Version 1.0 - Farm Product Price Index - FPPI (regrouping variant) (CSV, 121.75 KB)
• Variant of the North American Product Classification System (NAPCS) Canada 2022 Version 1.0 for Industrial Product Price Index - IPPI (regrouping variant) Variant of NAPCS Canada 2022 Version 1.0 - Industrial Product Price Index - IPPI (regrouping variant) (CSV, 833.4 KB)
• Variant of the North American Product Classification System (NAPCS) Canada 2022 Version 1.0 for Manufacturing and Logging (extension variant) Variant of NAPCS Canada 2022 Version 1.0 - Manufacturing and Logging (extension variant) (CSV, 1.52 MB)
• Variant of the North American Product Classification System (NAPCS) Canada 2022 Version 1.0 for Merchandise import and export accounts (regrouping variant) Variant of NAPCS Canada 2022 Version 1.0 - Merchandise import and export accounts (regrouping variant) (CSV, 885.46 KB)
• Variant of the North American Product Classification System (NAPCS) Canada 2022 Version 1.0 for Raw Materials Price Index - RMPI (regrouping variant) Variant of NAPCS Canada 2022 Version 1.0 - Raw Materials Price Index - RMPI (regrouping variant) (CSV, 108.07 KB)

There are multiple ways to access and take away Statistics Canada data depending on the software you have at hand. Such as Excel, or Tableau and Power BI.

1. There exists a Web Data API which returns vector (shortcuts to data points) data in JSON format. Typically needing a programmer to set up this kind of access.

User Guides are found here: Web Data Service (WDS) We have some Excel, Python, R, AJAX, SAS examples if requested.

2. Users can also retrieve the Full Table Download in CSV format, compressed in a ZIP including data and metadata.

The guide to the CSV format is found here: Full Table Download (CSV) User Guide

Example:

https://www150.statcan.gc.ca/n1/en/tbl/csv/14100287-eng.zip
https://www150.statcan.gc.ca/n1/fr/tbl/csv/14100287-fra.zip

3. You can retrieve custom CSV directly from the external website using the following methods: Download data as displayed on screen. Taking away a CSV output after customizing the view by hand. (LFS hourly wages example: Hourly wage distributions by occupation, monthly, unadjusted for seasonality)

For your user community, using the new Download selected data format is an easier way for users to filter and download directly into CSV. See the following examples that are not advertised but still possible on our site for expert users who could re-use these shortcuts for easy linking to generated CSV files.

Simply once a table has been customized in the Add/Remove section, when clicking on the Download Options overlay, a user can Right click over the Download Selected Data and using the "Save Link Location…" or in Internet Explorer "Copy Shortcut" you can extract the custom link to generate the CSV on the fly.

A CSV retrieval with a time period parameter included looks like this:

https://www150.statcan.gc.ca/t1/tbl1/en/dtl!downloadDbLoadingData-nonTraduit.action?pid=1010013201&latestN=&startDate=20180101&endDate=20180301&csvLocale=en&selectedMembers=[[1]%2C[1%2C2%2C3%2C4%2C5%2C6%2C7]]

This retrieval shows latest N(5) periods, instead of a time period, it looks like this:

https://www150.statcan.gc.ca/t1/tbl1/en/dtl!downloadDbLoadingData-nonTraduit.action?pid=1010013201&latestN=5&startDate=&endDate=&csvLocale=en&selectedMembers=[[1]%2C[5%2C7%2C1%2C6%2C4%2C2%2C3]]

4. Also, a user can also bookmark the URL using Save my selections so your community could easily return to the same customized table, month after month.

Save my selections looks like this for the same example table, but comes back to the online GUI, to allow edits to the filters.

https://www150.statcan.gc.ca/t1/tbl1/en/cv!recreate.action?pid=1010013201&selectedNodeIds=1D1,2D1,&checkedLevels=&refPeriods=20180101,,20181001&dimensionLayouts=layout2,layout3,layout2&vectorDisplay=false

5. Using the Search by Vector feature is also a quick way to download many data points from a variety of tables at once, here is an example:

https://www150.statcan.gc.ca/t1/tbl1/en/sbv?vectorNumbers=v37151%2C+v1558664%2C+v1576432%2C+v1592178%2C+v2062811%2C+v2062815%2C+v4327078%2C+v4331088%2C+v41552794%2C+v41552796%2C+v41690973%2C+v41690974%2C+v41691233%2C+v42169911%2C+v42169920%2C+v52367097%2C+v53384992%2C+v61913615%2C+v61915304%2C+v61915306%2C+v61915308%2C+v61915313%2C+v61915327%2C+v62305724%2C+v62305731%2C+v62305733%2C+v62305742%2C+v62305745%2C+v62305748%2C+v62305752%2C+v62305783%2C+v62305984%2C+v62425528%2C+v62425550%2C+v62425572%2C+v62425630%2C+v65201226%2C+v65201499%2C+v66496802%2C+v66496805%2C+v66496811%2C+v79310246%2C+v79310643%2C+v87008839%2C+v87008840%2C+v87008851%2C+v87008955%2C+v87008956%2C+v87008967%2C+v108785713%2C+v108785714%2C+v108785715&searchOption=2&latestN=1&vectorList_length=100&request_locale=en

6. Additional ways to take away data:

• A daily Delta File of all the data points that have changed for the day. This method would be for high volume users that want to recreate our database in their systems. Information on this method is found in our Developers pages: (For example: Delta File)
• Download Full Table in SDMX (XML) format.
• Download hundreds of single number Indicators of content through a JSON Indicators API found here at the bottom of the page: Developers
• Subscribe to tables to be emailed when they are updated through My StatCan

Additionally, if Option 3 does not work for you, there are options to break apart and use the large Full Table CSV files to load them into Excel as follows:

For the large Full Table Download CSV files, you could consider:

• Using a CSV splitter similar to this open source one for Windows: Free Huge CSV Splitter
• Using Power Query in Excel

Opening large CSV files using power query in Excel

Requirements:

Excel 2016 - Power Query comes standard

Previous Excel versions - Power Query needs to downloaded and installed as an add-in before being available for use

Download:

Power Query for Excel can be downloaded from the Microsoft Download Center. Installation instructions are also provided at this location. Download Microsoft Power Query for Excel

Instructions:

Once Power Query has been installed you can open and extract parts of large .csv files by following these steps:

1. Select "Power Query", "From File", "From CSV".
2. Select the file that you wish to view or manipulate (a new window will open showing the first few lines of this file with all the column headings).
3. From the "Query Editor" window, you can filter the information using the dropdown selections in each column.
4. Once the proper filters have been applied, you can extract that part of the file by using the "Keep Rows", "Keep Top Rows" option.
5. This option will then ask how many rows you would like to keep for future extraction.
6. You can then proceed to extract this information by using the "Close & Load", "Close & Load To" option.
7. Finally, you will be given the option to place these rows in a new Excel worksheet for analysis or manipulation.

More information:

Many more functions and manipulation options that have not been discussed above are available through Power Query, thus allowing the user to open and extract parts of massive .CSV files.

More information on this topic can be found online.

Depending on how familiar you are with Pivot Tables in Excel, you can also using the Data Model source function in Excel to use the CSV file as a Pivot Table Data Model source. Loading CSV/text files with more than a million rows into Excel

Microsoft Power BI DaX:

let

GetCoord = (prodid as text, coord as text, period as text) => let

Json = Json.FromValue({[productId=prodid, coordinate=coord, latestN=period]}),

Getdata = Json.Document(Web.Contents("https://www150.statcan.gc.ca/t1/wds/rest/getDataFromCubePidCoordAndLatestNPeriods", [Headers=[#"Content-Type"="application/json"], Content=Json])),

#"Converted to Table" = Table.FromList(Getdata, Splitter.SplitByNothing(), null, null, ExtraValues.Error)

in

#"Converted to Table"

in

GetCoord

Throughout the pandemic, Statistics Canada has responded rapidly and with agility to the data needs of various users by developing many new products relevant to COVID-19 and its impacts on Canadians. While this response was agency-wide, the evaluation focused on two types of products that were developed in the context of the pandemic: 1) products derived from crowdsourcing and probability panels, and 2) specific COVID-19 related health statistics.

This evaluation was conducted by Statistics Canada in accordance with the Treasury Board Policy on Results and Statistics Canada’s Risk-based Audit and Evaluation Plan (2020/2021 to 2024/2025). The objective of the evaluation was to provide a neutral, evidence-based assessment of Statistics Canada’s data response to COVID-19. The evaluation aimed at providing valuable information about the timeliness, the relevance and the impact of these products. It also looked at some of the related challenges and opportunities faced by the divisions responsible for these products to inform future direction.

In reviewing the organizational changes that were implemented to develop COVID-19 health and social statistical products, the evaluation found that Statistics Canada took rapid action by assessing and delivering products that shed light on issues of importance during the pandemic. Delivery of COVID-19 statistical products was facilitated by an organizational shift towards business agility, which included innovative approaches to manage resources and analyze data. The dedication of staff was instrumental in the successful release of these products; however, the sheer volume and push for expediency impacted staff well-being.

To inform Statistics Canada on the effectiveness of its response related to social statistical data needs during COVID-19, the evaluation assessed the extent to which the products released addressed the needs of key users. The majority of users considered the products released to be relevant, useful, timely, accessible and unique for providing a national perspective. Although some challenges were noted, users were also satisfied with the agency’s level of engagement and the methodological information provided. Finally, users wanted more granular data, particularly regarding at-risk and marginalized populations.

Finally, the evaluation assessed the extent to which there is an ongoing need for COVID-19 social and health statistical products and the factors that must be taken into account going forward to deliver both those products and regular programs. Users indicated an ongoing need for health statistics related to the pandemic as well as for crowdsourcing and probability panel products. As the pandemic evolves, more disaggregated data on the differential impacts of COVID-19 on different populations will be needed. Forward approach needs to balance demands arising from emerging data needs, such as disaggregated data, ongoing pandemic information requirements and ongoing program delivery. Prioritization of demands, human resources, ongoing innovation and data sources, user engagement, and internal collaboration were identified as key enablers. Opportunities remain to fully explore the lessons learned from the pandemic, which could be leveraged to help the organization further improve its COVID-19 data response and core activities. The lessons learned could also be shared across the agency to foster innovation and continuous improvement in support of the agency-wide response to COVID-19.

The evaluation proposed two recommendations:

Recommendation 1:

The Assistant Chief Statistician (ACS), Social, Health and Labour Statistics (Field 8), should ensure that a comprehensive strategy is developed to identify, prioritize and respond to emerging data needs (i.e., disaggregated data, ongoing pandemic information requirements and ongoing program delivery).

The strategy should consider the key enablers identified (i.e., prioritization of demands, human resources, ongoing innovation and data sources, user engagement, and internal collaboration), and include approaches or plans that set out how:

• emerging data needs will be identified (e.g., stakeholder engagement approaches);
• data gaps will be addressed;
• data needs will be prioritized based on intended outcomes and resource capacity; and
• ongoing monitoring of data needs will be carried out.

Recommendation 2:

The ACS, Social, Health and Labour Statistics (Field 8), should ensure that a lessons learned exercise from the COVID-19 pandemic is conducted to identify approaches that could be applied to respond to COVID-19 data needs and improve core activities going forward.

• The lessons learned should be presented to a Tier 1 committee that will provide direction on their potential implementation across the agency, as applicable.
• They should also be shared across the agency to foster innovation and continuous improvement in support of the agency-wide response to COVID-19.

Media advisory

February 7, 2022, OTTAWA, ON

On February 9, 2022, Statistics Canada will release the first results from the 2021 Census. The release on population and dwelling counts will explore how population growth and international and internal migration patterns have changed the fabric of Canada's provinces and territories, as well as its cities, towns and rural areas. This release will show their evolution since 2016 and particularly since the onset of the pandemic.

The release will be published in Statistics Canada's Daily at 8:30 a.m. eastern time on February 9, 2022. Information about subsequent releases throughout 2022 is available here.

The health and safety of members of the media and of our employees is a top priority for Statistics Canada. In accordance with public health guidelines for the COVID-19 pandemic, there will be no media lockup for the 2021 Census data release on population and dwelling counts.

Statistics Canada officials will hold a news conference to present high-level national, provincial, and territorial findings for the first release from the 2021 Census. Officials will be available to answer questions from the media following their remarks.

On February 9 and the following days, Statistics Canada will also grant interviews regarding this 2021 Census data release. Members of the media are invited to submit their requests for interviews and/or custom tabulations ahead of the release date to the Media Hot Line.

Date

February 9, 2022

Time

9:30 AM to 10:30 AM (EST)

Location

The news conference will be held virtually.

Participation in the question and answer portion of this event is for accredited members of the Canadian Parliamentary Press Gallery only. Media who are not members of the Press Gallery may contact pressres2@parl.gc.ca to request temporary access. A teleconference line is also available for media who wish to listen to the event:

Dial-in numbers (listen-only):
Local: 613-954-9003
Toll-free: 1-866-206-0153
Pass code: 3717315#

Members of the media are invited to submit their requests for interviews or data (cities and local) ahead of the release.

Associated link:

2021 Census of Population – Backgrounder for Media

Contact:

Media Relations
Statistics Canada
statcan.mediahotline-ligneinfomedias.statcan@statcan.gc.ca