North American Product Classification System (NAPCS) Canada 2017 Introduction

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 2017 was approved as the departmental standard on September 19, 2016. The development of NAPCS Canada was a progressive process done over a period of time. The next section provides an overview of its development and implementation history.

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 classificationsFootnote 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.

The release of NAPCS Canada 2017 constitutes the first revision of the classification coordinated with the revision of NAICS. Future revisions are planned every five years. The revision process encourages the active participation of users of the classifications.

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 are classified by mode of delivery.
  • Purpose or intended use – For example, 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 experience 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.

Nomenclature and number of categories within each level of NAPCS Canada 2017
Level Coding Number of categories
Group 3-digit code 157
Class 5-digit code 506
Subclass 6-digit code 1,409
Detail 7-digit code 2,737

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. At the time of publishing NAPCS Canada 2017, 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. 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 class level of NAPCS.

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 2017 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 classification of crude oil and bitumen (group 141)
Code Title
141 Crude oil and bitumen
14111 Conventional crude oil
141111 Conventional crude oil
1411111 Light and medium crude oil
1411112 Heavy crude oil
14112 Crude and diluted bitumen
141121 Crude and diluted bitumen
1411211 Crude bitumen
1411212 Diluted bitumen
14113 Synthetic crude oil
141131 Synthetic crude oil
1411311 Synthetic crude oil

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 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 six variants of NAPCS Canada 2017:

  • Capital expenditures 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 2012 covering non-residential buildings, 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.
  • Agriculture goods (extension variant) - This variant adds two additional levels (8 and 9 digits) below the detailed categories of NAPCS covering farm and unprocessed fish products.
  • Industrial product price index (regrouping variant) - This variant defines a new aggregate level (sections) by regrouping 3-digit categories of NAPCS 2012 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.
  • Raw Materials Price Index (regrouping variant) - This variant defines a new aggregate (sections) by regrouping 3-digit categories of NAPCS 2012 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.
  • 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 2012 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 had been in use for several decades.
  • 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).

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.

Basic characteristics of NAICS Canada and NAPCS Canada
Characteristics of the classification NAICS Canada NAPCS Canada
Statistical unit (or object classified) Establishments (producers) Products
Classification criteria Similarity of production process(es) Similarity in a physical characteristic, stage of processing, technology, purpose or function
Scope or universe Establishments operating within Canada Products produced in Canada and consumed in Canada or elsewhere, or produced elsewhere and consumed in Canada
Statistical domain Industry statistics (e.g., industrial outputs, and intermediate, labour and capital consumption) Product statistics (e.g., industry outputs and inputs by type, exports and imports by type, price indices)
Examples of analysis supported by related data Changes in industrial structure or productivity over time Total supply and demand, market share analysis, shifts in consumption behaviour

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.Footnote 7

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. At this time, the trilateral NAPCS structure is a reference classification system for beta testing. The development of the trilateral version of NAPCSFootnote 10 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 11 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 influence the extent of the trilateral work.

Summary of changes from NAPCS Canada 2012 to NAPCS Canada 2017

Based on a 5-year revision cycle, NAPCS Canada 2017 is a new classification series after NAPCS Canada 2012 (Version 1.2). Some categories were split, and others were merged. New categories were incorporated, and some were deleted or transferred, for a total net increase of 123 product categories at different levels, providing better relevancy to statistical programs and users. Most of the changes resulted in the change of scope of the category affected (real changes) and they include: combinations (mergers or take-overs), decompositions (breakdowns or splits), and transfers. Other changes were editorial (virtual changes), as they relate to editing of category titles, definitions and codes, without affecting the scope. The detailed list of changes can be obtained from Standards Division at statcan.standardsproduct-normesproduit.statcan@statcan.gc.ca. A concordance table between NAPCS Canada 2012 and NAPCS Canada 2017 will also be published.

Changes in NAPCS Canada 2017 relative to NAPCS Canada 2012 Version 1.2

Net count of categories by level
Level NAPCS Canada 2017 NAPCS Canada 2012 Version 1.2 Added Eliminated Net difference
3-digit level (Group) 157 156 3 2 +1
5-digit level (Class) 506 506 12 12 0
6-digit level (Subclass) 1,409 1,389 51 31 +20
7-digit level (Detail) 2,737 2,635 153 51 +102
Total 4,809 4,686 217 96 +123

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 2017.

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 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 12 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 13 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 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 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. 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 NAPCS Canada 2017, this was the only application of the forced concordance method.

Notes

Date modified:

Vital Statistics Death Database – Glossary

The definitions used for the production of statistical tables of Canadian vital statistics data are based on those recommended by the World Health OrganizationNote1 and the United Nations.Note2

Age. Age attained at the last birthday preceding death. In the case of infant deaths, the completed number of months (or minutes, hours, or days) since birth.

Cause of death. The cause of death coded and tabulated is the underlying cause of death. This is defined as "(a) the disease or injury which initiated the train of morbid events leading directly to death, or (b) the circumstances of the accident or violence which produced the fatal injury". This underlying cause of death is selected from a number of conditions listed on the medical certificate of cause of death.

Beginning in the year 2000 in Canada, causes of death and stillbirth are coded to the 10th revision of the World Health Organization's International Statistical Classification of Diseases and Related Health Problems (ICD-10). The previous revision, ICD-9Note3 was used in Canada for the classification of cause of death and stillbirth from 1979 to 1999.

Death. The permanent disappearance of all evidence of life at any time after a live birth has taken place. Stillbirths are excluded from death statistics unless otherwise indicated.

  • Early neonatal death: Death of a child under one week of age (0 to 6 days).
  • Infant death: Death of a child under one year of age.
  • Neonatal death: Death of a child under four weeks of age (0 to 27 days).
  • Perinatal death: Death of a child under one week of age (0 to 6 days) or a stillbirth of 28 or more weeks of gestation.
  • Post-neonatal death: Death of a child under one year of age but at least 28 days old (28 to 364 days).

Death rates

  • Age-specific death rate: The number of deaths in a particular age group during a given year per 1,000 population (or 100,000 population) in the same age group as of July 1 of the same year.
  • Age-standardized death rate: Age-standardization removes the effects of differences in the age structure of populations among areas and over time. Age-standardized death rates show the number of deaths per 1,000 population (or 100,000 population) that would have occurred in a given area if the age structure of the population of that area was the same as the age structure of a specified standard population.

The formula for an age-standardized death rate r is:

r=i=120(dipi)wiwhere,MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbcvPDwzYbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0x e9Lq=Jc9vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKk Fr0xfr=xfr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaam OCaiabg2da9maaqahabaWaaeWaaeaadaWcaaqaaiaadsgadaWgaaWc baGaamyAaaqabaaakeaacaWGWbWaaSbaaSqaaiaadMgaaeqaaaaaaO GaayjkaiaawMcaaaWcbaGaamyAaiabg2da9iaaigdaaeaacaaIYaGa aGimaaqdcqGHris5aOGaam4DamaaBaaaleaacaWGPbaabeaakiaayk W7caaMc8Uaam4DaiaadIgacaWGLbGaamOCaiaadwgacaGGSaaaaa@50D8@

For age group i:
di is the age-sex-specific death count for a particular cause of death for a given year and geographical area,

pi is the age-sex-specific population estimate for July 1 of the same year and geographical area, and

wi is the weight for that age group in a standard population. The 1991 Canadian Census of Population, is used as the standard population for the calculation of age-standardized death rates. This standard population and calculated weights are shown in Text table 1. Note that the same weight is used for each sex.

To yield a rate per 1,000 population (or 100,000 population), r is multiplied by 1,000 (or 100,000).

Text table 1
Standardized–population by age group, Canada, July 1st, 1991 (both sexes)
Table summary
This table displays the results of standardized–population by age group. The information is grouped by group i (appearing as row headers), age in years, standard population and weight w (appearing as column headers).
Group i Age in years Standard population Weight w
1 under 1 403,061 0.0143
2 1 to 4 1,550,285 0.0551
3 5 to 9 1,953,045 0.0695
4 10 to 14 1,913,115 0.0680
5 15 to 19 1,926,090 0.0685
6 20 to 24 2,109,452 0.0750
7 25 to 29 2,529,239 0.0899
8 30 to 34 2,598,289 0.0924
9 35 to 39 2,344,872 0.0834
10 40 to 44 2,138,891 0.0761
11 45 to 49 1,674,153 0.0595
12 50 to 54 1,339,902 0.0476
13 55 to 59 1,238,441 0.0440
14 60 to 64 1,190,217 0.0423
15 65 to 69 1,084,588 0.0386
16 70 to 74 834,024 0.0297
17 75 to 79 622,221 0.0221
18 80 to 84 382,303 0.0136
19 85 to 89 192,410 0.0068
20 90 and over 95,467 0.0034
Total Note ...: not applicable 28,120,065 1
  • Crude death rate: The number of deaths during a given year per 1,000 population (or 100,000 population) as of July 1 of the same year.
  • Early neonatal death rate: The number of early neonatal deaths during a given year per 1,000 live births in the same year.
  • Infant death rate: The number of infant deaths during a given year per 1,000 live births (or 100,000 live births) in the same year.
  • Neonatal death rate: The number of neonatal deaths during a given year per 1,000 live births in the same year.
  • Perinatal death rate: The number of perinatal deaths during a given year per 1,000 total births (live births plus stillbirths of 28 or more weeks of gestation) in the same year.
  • Post-neonatal death rate: The number of post-neonatal deaths during a given year per 1,000 live births in the same year.

Delivery. A delivery may consist of one or more live born or stillborn fetuses. The number of deliveries in a given period will be equal to or less than the total number of births because a multiple birth (twins, triplets or higher-order multiple births) is counted as a single delivery.

Fetal death (stillbirth). See Stillbirth.

Fetal death (stillbirth) rate. See Stillbirth rate.

Gestational age. The interval, in completed weeks, between the first day of the mother's last menstrual period and the day of delivery (that is, the duration of pregnancy). It can also be an estimate of that interval, based on ultrasound, a physical examination, or other method. Canadian birth registration documents do not specify how the gestational age was calculated. Pre-term refers to a period of gestation under 37 completed weeks; term, 37 through 41 completed weeks; and post-term, 42 or more completed weeks.

ICD-10 codes. The International Statistical Classification of Diseases and Related Health Problems (ICD) codes, 10th Revision, were established by the World Health Organization in 1992. The ICD-10 manual assigns codes to specific diseases, injuries and causes of death.

Leading causes of death. From the approximately 8,000 ICD–10 codes valid for underlying causes of death, aggregated groups of causes of death called "short lists" were developed for use in the summary list of causes of death and to rank the leading causes of death. The short lists of ICD-10 used to rank the leading causes of death and the methodology used to select the rankable causes were developed by the National Center for Health Statistics (NCHS) of the U.S Department of Health and Human Services.Note4

The number of deaths is used as the ranking criteria because it most accurately reflects the frequency of cause-specific mortality. The 50 rankable causes of death, as shown in Appendix 1, were selected from the short list of 113 selected causes of death developed by NCHS for use with ICD–10. The 71 rankable causes of infant death, as shown in Appendix 2, were selected from the short list of 130 selected causes of infant death developed by NCHS for use with ICD–10.

The ranking of leading causes has limitations; it describes the rank order, by number of deaths, of each cause of death from a selected list of causes. The ranking alone cannot measure the relative risk of death. Further, any comparisons of leading causes by region or by year do not take into account the differences in the population age structure.

Live birth. The complete expulsion or extraction from its mother of a product of conception, irrespective of the duration of the pregnancy, which, after such separation, breathes or shows any other evidence of life, such as beating of the heart, pulsation of the umbilical cord, or definite movement of voluntary muscles, whether or not the umbilical cord has been cut or the placenta is attached.

Life expectancy. A statistical measure derived from the life table indicating the average number of years of life remaining for a population at a specific age, if the individuals comprising that population would experience the age-specific mortality rates observed in a given year, throughout their lives.

Marital status. Marital status refers to the legal conjugal status of the deceased at the time of death. Persons in common-law relationships are categorized by their legal marital status (common-law relationships are included in the "unknown marital status" category where the legal status cannot be determined). A single person is one who has never been married, or a person whose marriage has been annulled and who has not remarried. A separated person is legally married but is not living with his or her spouse because the couple no longer wants to live together. A divorced person is one who has obtained a legal divorce and has not remarried. A married person is one who is legally married and not separated. A person whose spouse has died and who has not remarried is widowed.

Population. Persons whose usual place of residence is somewhere in Canada, including Canadian government employees stationed abroad and their families, members of the Canadian Forces stationed abroad and their families, crews of Canadian merchant vessels, and non-permanent residents of Canada.

Mid-year (July 1) population estimates are used to calculate the rates in vital statistics publications (see table footnotes). Population estimates are frequently revised by Statistics Canada's Demography Division.

Provinces and territories. Unless otherwise stated, the geographic distribution of deaths in the tables of this publication is based on the deceased's usual place of residence.

Nunavut came into being officially as a Territory of Canada on April 1, 1999. The name Northwest Territories applies to a Territory with different geographic boundaries before and after April 1, 1999.

Deaths and stillbirths of residents of Nunavut which took place before April 1, 1999 are included with deaths and stillbirths of residents of the Northwest Territories. Deaths and stillbirths which took place on or after April 1, 1999 are tabulated separately for residents of Nunavut.

Rank of leading causes of death. The rank is based on the number of deaths of each leading cause of death. When there is the same number of deaths for more than one leading cause, the ranks assigned will be the same. Consequently, the next rank in line will be incremented by the number of equal ranks. For example, if there are three leading causes of death with 4th rank, the next leading cause will be rank 7th.

Stillbirth (fetal death). Death prior to the complete expulsion or extraction from its mother of a product of conception, irrespective of the duration of pregnancy; the death is indicated by the fact that after such separation the fetus does not breathe or show any other evidence of life, such as beating of the heart, pulsation of the umbilical cord, or definite movement of voluntary muscles. Only stillbirths where the product of conception has a birth weight of 500 grams or more or the duration of pregnancy is 20 weeks or longer are registered in Canada.

In Quebec (as well as in Saskatchewan prior to 2001 and in New Brunswick prior to November 1996), only stillbirths (fetal deaths) weighing 500 or more grams must be reported, regardless of the gestation period.

Because of these differences in reporting requirements, stillbirths (fetal deaths) data are presented for two gestation periods: 20 or more weeks of gestation (including fetal deaths or stillbirths with unknown weeks of gestation), and 28 or more weeks of gestation (excluding unknown weeks of gestation).

Stillbirth (fetal death) rate. The number of stillbirths (fetal deaths) per 1,000 live births plus stillbirths (fetal deaths).

Notes

1. World Health Organization (WHO). International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Volumes 1 and 2 (ICD-10). Geneva, 1992.

2. United Nations. Principles and Recommendations for a Vital Statistics System. Statistical Papers, Series M, No. 19, Rev. 1. New York, 1974.

3. World Health Organization (WHO). International Classification of Diseases, 1975 Revision, Volume 1 (ICD-9). Geneva, 1977.

4. Heron, M. "Deaths: leading causes for 2004." National Vital Statistics Reports. 2007; 56(5): 1–95.

Reporting Guide

Si vous préférez recevoir ce document en français, veuillez nous appeler au numéro suivant :

1-877-604-7828 ou ATS 1-855-382-7745.

This guide is designed to assist you as you complete the 2017 Monthly Coal Supply and Disposition Survey.

Help Line: 1-877-604-7828

Confidentiality

Statistics Canada is prohibited by law from releasing any information it collects which 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 and research purposes.

Table of Contents

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A – Reporting instructions

 

This questionnaire is to be completed and returned within 10 days to Statistics Canada, Operations and Integration Division, 150 Tunney's Pasture Driveway, Ottawa, ON K1A 0T6. If you require assistance in the completion of this questionnaire or have any questions regarding this survey, please contact us: Telephone: 1-877-604-7828 or TTY: 1-855-382-7745.

  • Please print in ink.
  • Report all dollar amounts in thousands of Canadian dollars ('000).
  • Exclude sales tax.
  • Percentages should be rounded to whole numbers.
  • Do not report in decimals. Round all values to the nearest whole number.
  • Report volumes (quantity) in metric tonnes.
  • When precise figures are not available, please provide your best estimates.
  • Consult the reporting guide at www.statcan.gc.ca/guides-e for further information.

B – Business or organization and contact information

Please verify or provide this business or organization's legal and operating name along with the contact information of this designated business or organization's personnel for this questionnaire.

If this business is currently in operation, select "operational" in question 3 and proceed to question 4 on page 6 in relation to this business's main activity. However, if this business is not in operation, please indicate why and answer the applicable questions (pages 4 & 5).

C - Characteristics:

D - Production of raw coal from mining operations (Question 1)

  • Report the volume of gross coal mined in underground run-of-mine production (underground facilities), gross coal mined in surface run-of-mine production (surface facilities), coal sent to discard heap (coal discarded as unusable from amount mined such as underground and surface production) and coal reclaimed (coal usable from discard heap or tailing ponds).
  • Report the total sum for the net production of raw coal from mining operations (that is, underground and surface run-of-mine production).

E - Raw coal imported from foreign countries (Questions 2, 3 & 4)

  • Question 2: Indicate if this business imported raw coal from foreign countries for processing at the mine's preparation plant.
  • If "yes", then go to question 3.
  • If "no", then go to question 5.
  • Question 3: Report the volume of raw coal imported from foreign countries (internationally) that is to be processed at the preparation plant specified.
  • Question 4: Report for each appropriate country, the volume of raw coal imported for processing at the mine's preparation plant.
  • Report the total sum for the volume of raw coal imported from foreign countries; this value should balance with the answer from question 3.

F - Raw coal purchased or received from Canadian (domestic) companies (Questions 5, 6 & 7)

  • Question 5: Indicate if this business purchased or received raw coal from Canadian domestic companies for processing at the mines preparation plant.
  • If "yes", then go to question 6.
  • If "no", then go to question 8.
  • Question 6: Report the volume of raw coal purchased or received from Canadian domestic companies (other Canadian companies) for processing at the mine's preparation plant.
  • Question 7: Report for each appropriate province or territory, the volume of raw coal purchased or received from Canadian domestic companies for processing at the mine's preparation plant.
  • Report the total sum for the volume of raw coal purchased or received from Canadian domestic companies; this value should balance with the answer from question 6.

G – Production of marketable coal (Question 8)

  • Report for preparation plant losses, the amount of raw coal lost during the production process at the plant (moisture, debris, etc.); marketable raw coal, the amount of marketable raw coal from production operations used for the company's own use (e.g. boilers); marketable metallurgical coal, the amount of marketable metallurgical coal produced in the reference month; and marketable thermal coal, the medium quality coal obtained in preparation plants after removing the moisture and debris from bituminous coal. Please note that thermal coal is mostly used for electric power generation.

H – Coal imported from foreign countries for resale (Questions 9 & 10)

  • Question 9: Indicate if this business imported raw, metallurgical or thermal coal for the purpose of resale.
  • If "yes", then go to question 10.
  • If "no", then go to question 11.
  • Question 10: Report for each appropriate country, the volume of raw, metallurgical or thermal coal imported for the purpose of resale. Include receipt of raw coal at ports and delivery to end users by other suppliers on their behalf. Exclude raw coal imported for the purpose of processing at this business's own preparation plant.
  • Report the total volume of raw, metallurgical or thermal coal imported from foreign countries for resale.

I – Coal purchased or received from Canadian (domestic) companies for resale (Questions 11 & 12)

  • Question 11: Indicate if this business purchased or received raw, metallurgical or thermal coal from Canadian domestic companies for the purpose of resale.
  • If "yes", then go to question 12.
  • If "no", then go to question 13.
  • Question 12: Report for each appropriate province or territory, the volume of raw, metallurgical or thermal coal purchased or received for the purpose of resale. Include receipt of raw coal at ports and delivery to end users by other suppliers on their behalf. Exclude raw coal purchased or received for the purpose of processing at this business's own preparation plant. Exclude raw coal imported for the purpose of processing at this business's own preparation plant.
  • Report the total volume of raw, metallurgical or thermal coal purchased or received from Canadian domestic companies for resale.

J – Opening inventories of coal (Question 13)

  • Report the business's total opening inventories of raw, metallurgical and thermal coal at the end of the previous month for the following categories:
    • Located at the mine;
    • Shipments in transit (e.g. on railcars);
    • Stock-piled at ports (sum of all ports, Atlantic, Pacific and Great lakes).
  • Report the total opening inventory of raw, metallurgical and thermal coal.

K - Average calorific value (Question 14)

  • Report the net average calorific value of coal produced for raw, metallurgical and thermal coal, in megajoules per metric tonnes.
  • Average calorific value: It is the energy value of coal or the fuel content and is defined as the amount of potential energy in coal that can be converted into heating ability.
  • Metallurgical/coking coal: Bituminous coal with a quality that allows the production of a coke suitable to support a blast furnace charge. Its gross calorific value is equal to or greater than 24,000 kJ/kg on an ash-free but moist basis.
  • Thermal/Other bituminous coal: Coal mainly used for steam raising purposes and includes all bituminous coal that is not included under coking coal nor anthracite. It is characterized by higher volatile matter than anthracite (more than 10%) and lower carbon content (less than 90% fixed carbon). Its gross calorific value is equal to or greater than 24,000 kJ/kg on an ash-free but moist basis.
  • Raw coal includes lignite and sub-bituminous coal.
  • Lignite: Non-agglomerating coal with a gross calorific value less than 20,000 kJ/kg and greater than 31% volatile matter on a dry mineral matter free basis.
  • Sub-bituminous: Non-agglomerating coal with a gross calorific value equal to or greater than 20,000 kJ/kg and less than 24,000 kJ/kg containing more than 31% volatile matter on a dry mineral matter free basis.

L - Disposition of raw coal from mining operations (Questions 15 & 16)

  • Question 15: Indicate if this business used raw coal, other than for boilers, for its own use.
  • If "yes", then go to question 16.
  • If "no", then go to question 17.
  • Question 16: Report the volume and value of raw coal consumed by this business for its own use.

M - Raw coal sales by types of customer (Question 17)

  • Report for each appropriate province or territory, the volume and value of raw coal delivered or sold to different types of customers such as end users (electric power generation stations, coke plants, residential customers and other end users - steel plants, agriculture and farming, cement manufacturing, pulp and paper plants, etc.) and other producers or distributors (other coal producers or domestic companies such as wholesalers or distributors). Exclude exports to other countries.
  • Report the total volume and value of raw coal delivered or sold to different types of customers.

N - Export of raw coal to foreign countries (Questions 18 & 19)

  • Question 18: Indicate if this business exported raw coal to foreign countries.
  • If "yes", then go to question 19.
  • If "no", then go to question 20.
  • Question 19: Report for each appropriate country, the volume and value of raw coal exported during the reference month.
  • Report the total volume and value of raw coal exported to foreign countries.

O - Balancing raw coal supply and disposition (Questions 20 & 21)

  • Question 20: Report the raw coal breakdown of inventory from the following sources:
    • Located at the mine;
    • Shipments in transit (e.g. on railcars);
    • Stock-piled at all ports, including the sum of raw coal from the Atlantic, Pacific and Great Lakes ports.
  • Question 21: Report the net average calorific value of the total supply of raw coal sold (i.e. lignite or sub-bituminous) in megajoules per metric tonne.
  • Average calorific value: It is the energy value of coal or the fuel content and it is defined as the amount of potential energy in coal that can be converted into heating ability.
  • Lignite: Non-agglomerating coal with a gross calorific value less than 20,000 kJ/kg and greater than 31% volatile matter on a dry mineral free basis.
  • Sub-bituminous: Non-agglomerating coal with a gross calorific value equal to or greater than 20,000 kJ/kg and less than 24,000 kJ/kg containing more than 31% volatile matter on a dry mineral matter free basis.

P – Metallurgical coal – Company's own use (Questions 22 & 23)

  • Question 22: Indicate if this business used metallurgical coal for its own use.
  • If "yes", then go to question 23.
  • If "no", then go to question 24.
  • Question 23: Report the volume and value of metallurgical coal consumed by this business during the reference month for its own use.

Q – Metallurgical coal sales by types of customer (Question 24)

  • Report for each appropriate province or territory, the volume and value of metallurgical coal delivered or sold to different types of customers such as end users (electric power generation stations, coke plants, residential customers and other end users - steel plants, agriculture and farming, cement manufacturing, pulp and paper plants, etc.) and other producers or distributors (other coal producers or domestic companies such as wholesalers or distributors). Exclude exports to other countries.
  • Report the total volume and value of metallurgical coal delivered or sold to different types of customers.

R - Export of metallurgical coal to foreign countries (Questions 25 & 26)

  • Question 25: Indicate if this business exported metallurgical coal to foreign countries.
  • If "yes", then go to question 26.
  • If "no", then go to question 27.
  • Question 26: Report for each appropriate country, the volume and value of metallurgical coal exported during the reference month.
  • Report the total volume and value of metallurgical coal exported to foreign countries.

S - Balancing metallurgical coal supply and disposition (Questions 27 & 28)

  • Question 27: Report the metallurgical coal breakdown of inventory from the following sources:
    • Located at the mine;
    • Shipments in transit (e.g. on railcars);
    • Stock-piled at all ports, including the sum of metallurgical coal from the Atlantic, Pacific and Great Lakes ports.
  • Question 28: Report the net average calorific value of the total supply of metallurgical coal sold (i.e., bituminous / coking coal) in megajoules per metric tonne.
  • Average calorific value: It is the energy value of coal or the fuel content and it is defined as the amount of potential energy in coal that can be converted into heating ability.

T – Thermal coal – Company's own use (Questions 29 & 30)

  • Question 29: Indicate if this business used thermal coal for its own use.
  • If "yes", then go to question 30.
  • If "no", then go to question 31.
  • Question 30: Report the volume and value of thermal coal consumed by this business during the reference month for its own use.

U – Thermal coal sales by types of customer (Question 31)

  • Report for each appropriate province or territory, the volume and value of thermal coal delivered or sold to different types of customers such as end users (electric power generation stations, coke plants, residential customers and other end users - steel plants, agriculture and farming, cement manufacturing, pulp and paper plants, etc.) and other producers or distributors (other coal producers or domestic companies such as wholesalers or distributors). Exclude exports to other countries.
  • Report the total volume and value of thermal coal delivered or sold to different types of customers.

V - Export of thermal coal to foreign countries (Questions 32 & 33)

  • Question 32: Indicate if this business exported thermal coal to foreign countries.
  • If "yes", then go to question 33.
  • If "no", then go to question 34.
  • Question 33: Report for each appropriate country, the volume and value of thermal coal exported during the reference month.
  • Report the total volume and value of thermal coal exported to foreign countries.

W - Balancing thermal coal supply and disposition (Questions 34 & 35)

  • Question 34: Report the thermal coal breakdown of inventory from the following sources:
    • Located at the mine;
    • Shipments in transit (e.g. on railcars);
    • Stock piled at all ports, including the sum of thermal coal from the Atlantic, Pacific and Great Lakes ports.
  • Question 35: Report the net average calorific value of the total supply of thermal coal sold (i.e., bituminous) in megajoules per metric tonne.
  • Average calorific value: It is the energy value of coal or the fuel content and it is defined as the amount of potential energy in coal that can be converted into heating ability.

X – Changes and events that affected the business or organization

  • Please indicate any changes or events that may have affected the reported values for this business compared to the last reporting period. Select all that apply.

Y - Contact person

  • Name of person to contact about this questionnaire.

Z - Feedback

  • We invite respondent comments regarding the survey and subject matter. Please be assured that we review all comments with the intent of improving the survey.

Thank you for your participation.

Integrated Business Statistics Program (IBSP)

Reporting Guide

This guide is designed to assist you as you complete the 2017 Monthly Inventory Statement of Butter and Cheese. If you need more information, please call the Statistics Canada Help Line at the number below.

Your answers are confidential.

Statistics Canada is prohibited by law from releasing any information it collects which 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 information from this survey for statistical purposes.

Help Line: 1-800-565-1685

Table of Contents

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Reporting Instructions

Report inventory values at the opening of business on the first Business day of the month.

Include:

  • inventory for all dairy products held in your establishment(s), whether owned by you or by others
  • inventory stored in specially rented rooms to which only you have access (except in emergency)
  • stocks held on government accounts.

Exclude products held in common or cold public storage (these will be reported by operators of those establishments).

Definitions

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.

Current main activity

This question verifies the business or organization's current main activity as classified by the North American Industry Classification System (NAICS). The North American Industry Classification System (NAICS) is 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 is based on supply-side or production-oriented principles, to ensure that industrial data, classified to NAICS, are suitable for the analysis of production-related issues such as industrial performance.

The target entity for which NAICS is designed are businesses and other organizations engaged in the production of goods and services. They include farms, incorporated and unincorporated businesses and government business enterprises. They also include government institutions and agencies engaged in the production of marketed and non-marketed services, as well as organizations such as professional associations and unions and charitable or non-profit organizations and the employees of households.

The associated NAICS should reflect those activities conducted by the business or organizational unit(s) targeted by this questionnaire only, as identified in the 'Answering this questionnaire' section and which can be identified by the specified legal and operating name. The main activity is the activity which most defines the targeted business or organization's main purpose or reason for existence. For a business or organization that is for-profit, it is normally the activity that generates the majority of the revenue for the entity.

The NAICS classification contains a limited number of activity classifications; the associated classification might be applicable for this business or organization even if it is not exactly how you would describe this business or organization's main activity.

Please note that any modifications to the main activity through your response to this question might not necessarily be reflected prior to the transmitting of subsequent questionnaires and as a result they may not contain this updated information.

Dairy Products

  • Creamery butter
    • Include:
      • salted and unsalted butter
      • whipped butter
      • light or 'lite' butter
      • cultured butter
      • sweet butter
      • calorie-reduced butter
      • dairy spread
    • Exclude reworked butter and manufacturing cream.
  • Total inventory of cheese
    • Cheddar
      Include all sizes of cheddar cheese: block, stirred curd, curd and cheddar cheese used to make processed cheese.
    • Mozzarella
      Include:
      • American full fat mozzarella (27% to 28 % B.F.)
      • American low fat mozzarella (17% to 20 % B.F.)
      • Italian full fat mozzarella (22% to 24 % B.F.)
      • Italian low fat mozzarella (15 % B.F.)
      • other mozzarella cheese products.
    • Other factory cheese
      Include: brick, casata, feta, gouda, marble, swiss, curd cheese, etc.
    • Processed cheese
      Include processed cheese, processed cheese food, processed cheese spread made from cheddar cheese or other cheeses.

Inventory owned by dairy processors

Please indicate whether or not any of the dairy products held in inventory were owned by dairy processors.

Reporting Guide

Statistics Canada
Environment, Energy and Transportation Statistics Division
Energy Section

This guide is designed to assist you as you complete the 2016 Annual Survey of Electric Power Thermal Generating Station Fuel Consumption.

Help Line: 1-877-604-7828

Confidentiality

Statistics Canada is prohibited by law from releasing any information it collects which 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 and research purposes.

Table of contents

A – Reporting instructions

This schedule is to be completed for the station or stations indicated on the affixed label to the questionnaire. Please report for the requested period: January to December 2016.

Report only the amount of fuel used for the generation of electricity.

Reported value ($) should be the total cost at the station gate.

If there are any stations on standby, please report them in the notes section.

If the information requested is unknown, please provide your best estimate.

This guide is designed to assist you as you complete the 2016 Annual Survey of Electric Power Thermal Generating Station Fuel Consumption. If you need more information, please call 1-877-604-7828.

B – Cogeneration

Cogeneration: A highly efficient means of generating heat and electric power at the same time from the same energy source. Cogeneration makes use of the excess heat, usually in the form of relatively low-temperature steam exhausted from the power generation turbines towards another purpose.

Type: Primary purpose
Electricity internal: electricity which is used only for internal purposes.
Electricity external: electricity which is sold / supplied to another company.
Industry internal: Fuels and processes used towards internal purposes that do not contribute towards the generation of electricity. ( i.e. steam for drying paper)
Industry external: Fuels and processes used towards the generation of electricity.

Sub-Types
Combined cycle: burns fuel in a gas turbine or engine to generate electricity. The exhaust from the turbine or engine can provide usable heat or go to a heat recovery system to generate steam which then may drive a secondary steam turbine.
Steam turbine: burns fuel to produce steam, which generates power through a steam turbine. Exhaust (left over steam) can be used as low-pressure steam to heat water.
Combustion engine diesel: rely solely on heat and pressure created by the engine in its compression process for ignition. The compression that occurs is usually twice or more higher than a gasoline engine. Diesel engines will take in air only, and shortly before peak compression, a small quantity of diesel fuel is sprayed into the cylinder via a fuel injector that allows the fuel to instantly ignite.
Natural gas combustion turbine: involves a natural gas fired turbine, which runs a generator to produce electricity. The exhaust gas flows through a heat recovery boiler, which can convert the exhaust energy into steam or usable heat.

C – Solid fuels used to generate electricity

Any energy form consumed not otherwise identified on the questionnaire. Specify in the spaces provided.

Bituminous coal: A dense, black coal, often with well-defined bands of bright and dull material with a moisture content usually less than 20%. Used primarily for generating electricity, making coke and space heating.
Sub-bituminous coal: A black coal used primarily for thermal generation, with moisture content between 15% and 30%. (Canadian/Foreign) - It is important to distinguish between Canadian versus imported sub-bituminous as each carries a different content, depending on the location of the coal mine.
Lignite: A brownish-black coal of low rank containing 30% to 40% moisture and volatile matter. Used almost exclusively for electric power generation.
Wood (Report for "Dry" method): Wood and wood energy used as fuel, including round wood (cord wood), lignin, wood scraps from furniture and window frame manufacturing, wood chips, bark, sawdust, forest residues, charcoal and pulp waste.
Petroleum coke: (often abbreviated petcoke) is a barbonaceous solid derived from oil refinery coker units or other cracking processes. Other coke has traditionally been derived from coal.
Agriculture biomass: includes animal manure, cellulosic crop residue, fruit and vegetable culls and food-processing effluent. Potential energy crops include high-yielding, high-carbohydrate crops such as switchgrass and vegetable-oil crops such as canola and sunflower, and hydrocarbon plants such as milkweed and gumweed.
Other biomass: (food processing) can include residues that are produced during the processing of a product, such as cheese whey, canning factory residues, fruit pits, apple pomice and coffee grounds.
Other biomass: (type unknown) any other type of biomass not otherwise identified on the questionnaire. Specify in the spaces provided.
Municipal and other waste: can include residues that are produced during the processing of a product, such as paper, cardboard, rubber, leather, natural textiles, wood, brush, grass clippings, kitchen wastes and sewage sludge.

D – Liquid fuels used to generate electricity

Any energy form consumed not otherwise identified on the questionnaire. Specify in the spaces provided.

Biodiesel: refers to a non-petroleum-based diesel fuel consisting of short chain alkyl (methyl or ethyl) esters, made by transesterification of vegetable oil or animal fat (tallow), which can be used (alone, or blended with conventional petrodiesel) in unmodified diesel-engine vehicles.
Ethanol: (ethanol fuel) the same type of alcohol found in alcoholic beverages. It can be used as a fuel, mainly as a biofuel alternative to gasoline. It can be made from very common crops such as sugar cane and corn, it is an increasingly common alternative to gasoline in some parts of the world.
Other biofuel: any other type of biofuel not otherwise identified on the questionnaire. Specify in the spaces provided.
Light fuel oil (LFO): all distillate type fuels for power burners, fuel oil no.  1, fuel oil no.  2 (heating oil no.  2), fuel oil no.  3 (heating oil no.  3), furnace fuel oil, gas oils and light industrial fuel.
Heavy fuel oil (HFO): all grades of residual type fuels including low sulphur. Usually used for steam and electric power generation and diesel motors. Includes fuel oil nos.  4, 5 and 6. (Canadian/Foreign) - it is important to distinguish between Canadian versus imported Heavy Fuel Oil as each carries a different energy content, and is used to validate the integrity of Canada's Energy Balances.
Propane: is a three-carbon alkane, normally a gas, but compressible to a transportable liquid. It is derived from other petroleum products during oil or natural gas processing. It is commonly used as a fuel for engines, barbeques and home heating systems.
Diesel: all grades of distillate fuel used for diesel engines including low sulphur content (lower than 0.05%). Does not include diesel used for transportation off the plant site.
Spent pulping liquor: A by-product in the paper making process, containing carbohydrate and lignin decomposition products. Also known as black liquor.
Orimulsion: is a registered trademark name for a bitumen-based fuel that was developed for industrial use. Bitumen is a mixture of organic liquids that are highly viscous, black, sticky and entirely soluble in carbon disulfide and composed primarily of highly condensed polycyclic aromatic hydrocarbons. Currently orimulsion is used as a commercial boiler fuel in power plants worldwide.

E – Gaseous fuels used to generate electricity

Any energy form consumed not otherwise identified on the questionnaire. Specify in the spaces provided.

Waste gasification: the process of waste gasification involves converting the organic material within the waste into synthetic natural gas (syngas), which is a mixture of carbon monoxide and hydrogen gas. The syngas is used to produce electricity in the same way that natural gas is combusted for energy production-in combined-cycle mode.
Gasification: uses high temperatures in the presence of oxygen to convert solid biomass into gas (known as producer gas) to fuel a turbine to generate electricity.
Natural gas: a mixture of hydrocarbons (principally methane) and small quantities of various hydrocarbons existing in the gaseous phase or in solution with crude oil in underground reservoirs.
Coke oven gas: is obtained as a by-product of the manufacture of coke oven coke for the production of iron and steel.
Methane: is a chemical compound with the molecular formula CH4. It is the simplest alkane, and the principal component of natural gas. Burning methane in the presence of oxygen produces carbon dioxide and water.
Refinery fuel gas: a gaseous mixture of methane, light hydrocarbons, hydrogen, and other miscellaneous species (nitrogen, carbon dioxide, hydrogen sulphide, etc) that is produced in the refining of crude oil and/or petrochemical processes and that is separated for use as a fuel in boilers and process heaters throughout the refinery.

F – Other fuels used to generate electricity

Nuclear: is any nuclear technology designed to extract usable energy from atomic nuclei via controlled nuclear reactions. The most common method today is through nuclear fission, though other methods include nuclear fusion and radioactive decay.
Steam from waste heat: The amount of electricity generated when waste heat is recaptured to run a steam generator.

G – Useful thermal energy

Useful thermal energy produced: The amount of energy, in the form of heat, that is produced as a by-product of the generation of electricity and that is used for another application in a productive manner ( e.g. the heating of industrial, commercial or residential space; steam used in an industrial process; etc. )

H – Units of measure

Kilojoules per grams
(kj/g)
Kilojoules per kilograms
(kj/kg)
Kilojoules per litres
(kj/l)
Kilojoules per cubic meter
(kj/m3)
Metric tonnes
(t)
Kilolitres
(kl)
Thousands of cubic metres
(103m3)
Kilograms
(kg)
Thousands of Canadian dollars
($'000)
Megawatts per hour
(MW.h)

I – Reporting categories

Average heat content
The energy content one can expect to obtain from burning various raw materials.

Quantity
Please indicate the amount or volume of fuel used to generate electricity.

Total cost
Please indicate the fuel cost in thousands of Canadian dollars.

Generation
Please indicate the total electricity generated in MW.h

Total net electricity generation
Indicate the total (combined) amount of electricity generated, by all fuel types used, in MW.h

Monthly Natural Gas Distribution Survey

Background

In 2010, Statistics Canada launched the Integrated Business Statistics Program (IBSP) to provide a more efficient model for producing economic statistics. The main objective was to enhance the economic statistics program so that it remains as robust and flexible as possible while reducing the burden on business respondents.

The IBSP encompasses around 60 surveys covering four major sectors: manufacturing, wholesale and retail trade, services (including culture) and capital expenditures. By 2019/2020, the IBSP will include roughly 150 economic surveys covering all sectors of economic statistics. The list of surveys currently included in IBSP is available online.

The program changes ensure that Statistics Canada will continue to produce a consistent and coherent set of economic statistics. As well, data users and researchers can more easily combine economic data with information from other sources to undertake their analyses.

The IBSP uses a standardized approach for economic surveys conducted at Statistics Canada. This framework involves:

  • Using a common Business Register as the unique frame
  • Maximizing the use of administrative information to reduce business response burden
  • Using electronic questionnaires as the principal mode of collection
  • Harmonizing concepts and questionnaire content
  • Adopting common sampling, collection and processing methodologies

What are some of the more significant changes?

  • A new approach to sampling ensures businesses will only be asked those questions that are pertinent to their operations. This creates a win-win situation for Statistics Canada and respondents. Statistics Canada reduces the collection effort and has a greater likelihood of collecting the information it requires to produce official statistics relevant to Canadians. It also reduces the time needed by respondents to complete their business surveys.
  • Increased use of administrative data reduces business response burden. Administrative data files (such as corporate income tax files) have been used extensively as a direct substitute for a sub-set of sampled units and for imputation of non-response. In the transition to the IBSP model, imputation methods were adapted to take full advantage of the availability of administrative data. This resulted in additional response burden reductions across survey programs. The majority of sampled businesses are no longer required to provide data for revenue and expense information that is available from tax data. The IBSP questionnaires are designed to collect information that is not available from administrative data files, such as commodities produced and business practices.
  • A new coherent approach to developing provincial/territorial estimates uses existing information on Statistics Canada's business register to determine provincial/territorial shares of revenues, expenses and value added. This ensures a coherent and standardized approach that is consistent across all IBSP surveys. Previously, these data were collected directly from each respondent, contributing to response burden.
  • Electronic questionnaires are now the primary mode to collect data from business respondents. Businesses complete surveys using a secure online application. The result is a more efficient and higher quality collection process. In addition, the quality of survey statistics may improve because electronic questionnaires have built-in checks designed to limit reporting errors that can occur with paper-based questionnaires.
  • Increased coverage of the business population results in a more comprehensive set of business statistics. Beginning in reference year 2013, the population covered by the suite of annual economic survey programs increased to include all firms regardless of their size. In previous years, relatively small businesses (based on their sales) were not included in Statistics Canada's central business frame. However, with new self-coding technology, it became possible to classify all businesses operating in the Canadian economy onto the central business frame, regardless of the sales of the firm. As a result, with improved coverage of the population, the IBSP-based estimates better reflect the population of businesses operating in Canada.
  • Questionnaires have been updated to reflect the latest business terminology and accounting practices of Canadian businesses. In addition the questionnaires apply the latest standard classifications used by Statistics Canada, such as the North American Industry Classification System and the North American Product Classification System.

Does this impact the comparability of data through time?

The extent of the changes in the business statistics program introduced by the IBSP means that some series may no longer be consistent with estimates from previous periods. For example, the increase in the business population alone means that the estimates will tend to be higher than those previously published.

For some series, data changes will be small and comparisons with estimates to previous reference periods will be consistent. In other cases, the impacts can be significant, leading to breaks in the current estimates when compared to past estimates.

Recognizing the importance of data continuity, Statistics Canada will continue to use several assessment techniques in order to examine whether current estimates will be directly comparable to past estimates. Among the techniques that may be used include:

  • Evaluating survey estimates at all levels of detail (national, sub-national, NAICS)
  • Comparing estimates obtained from sub-annual surveys (where applicable)
  • Comparing tax information
  • Analysing the results for common respondents in 2012 and 2013
  • Comparing historical movements by respondent and by the industry in general.

In all cases, users are aware that breaks can exist and that any comparisons with previous data should be made at their own discretion.

Once the estimates for the current reference year are available, revisions will be made to the previous year's data.

Who will use the new IBSP estimates?

  • Businesses use the estimates to better understand their performance within their given industry relative to the industry average.
  • Industry analysts and associations use the IBSP estimates to analyze the performance of given industries in the Canadian economy both nationally and regionally.
  • Federal departments and agencies, provincial ministries and authorities, the press, survey respondents, and the general public use estimates to assess trends in the Canadian economy.

The IBSP data are a main input in the Canadian System of Macroeconomic Accounts. They are first adjusted to macroeconomic accounting concepts and definitions and are then integrated into the macroeconomic accounting frameworks. This integration involves adjusting the data to adhere to the macroeconomic accounting identities as well as ensuring consistency through time. These data are the building blocks for Statistics Canada's benchmark measure of gross domestic product and a key input into the estimates used to determine equalization payments and the allocation of harmonized sales tax revenue.

Periodically, Statistics Canada undertakes large scale changes as part of its survey renewal process. The new IBSP data will be integrated into the Macroeconomic Accounts. Although the new data may lead to some changes/revisions to the national accounts, the System of National Accounts framework ensures that the national account estimates are robust and coherent.

Have any other survey releases taken place under the new IBSP schedule?

Yes. The first survey released under IBSP was the 2013 Survey of Aquaculture that was published in the Daily on November 14, 2014. Since then, several other annual surveys have been released, and a number of monthly surveys will soon be made available.

Further Information

For a more detailed explanation of the changes, please consult the Integrated Business Statistics Program Overview on the Statistics Canada website.

More information on the technical aspects on sampling and estimation is available upon request.

For more information, contact Media Relations (613-951-4636); statcan.mediahotline-ligneinfomedias.statcan@statcan.gc.ca.

Ce document est aussi disponible en français.

Changes to the monthly natural gas distribution survey

Expanded content

Starting January 2016, Statistics Canada will roll out a more detailed survey related to the natural gas distribution industry in Canada. Companies whose principal activities relate to transmission of natural gas but who also have distribution operations will be included in this survey. The increased content will provide more detailed and complete data on the industry to end-users.

Data availability

Gas distribution data will be made available, where possible, on the volume of gas distributed in both thousands of cubic metres and gigajoules, and its value in Canadian dollars.

Data comparability and accessibility

As a result of the content changes for the survey, natural gas distribution information previously found in CANSIM tables 129-0001, 129-0002, 129-0003 and 129-0004 will no longer be directly comparable with data that will be published under IBSP.

In place of these tables, gas distribution data will now be published solely under table 129-0007. By centralizing the data in one table, users will more easily be able to access survey results.

How can I obtain for more information on changes to the monthly gas distribution survey?

This document highlights key changes to the survey and its impacts for end users. For more information, or to enquire about the concepts, methods or data quality of this survey, contact us (toll-free 1-800-263-1136; 514-283-8300; infostats@statcan.gc.ca) or Media Relations (613-951-4636; statcan.mediahotline-ligneinfomedias.statcan@statcan.gc.ca).

Reporting Guide

Statistics Canada
Environment, Energy and Transportation Statistics Division
Energy Section

This guide is designed to assist you as you complete the 2017 Monthly Electricity Supply and Disposition Survey.

Help Line: 1-877-604-7828

Confidentiality

Statistics Canada is prohibited by law from releasing any information it collects which 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.

Table of Contents

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Text begins

A – Reporting Instructions

Please report information for the month indicated on the front of the questionnaire, and return it within 10 days of receipt.

Please complete all sections as applicable.

If the information requested is unknown, please provide your best estimate.

This guide is designed to assist you as you complete the Monthly Electricity Supply and Disposition Survey. If you need more information, please call 1-877-604-7828.

B – Electricity Generation Method

Nuclear: Electricity generated at an electric power plant whose turbines are driven by steam generated in a reactor by heat from the fission of nuclear fuel.
Hydro:Electric power generated from a plant in which the turbine generators are driven by flowing water.
Tidal: Electric power generated from a plant in which turbine generators are driven from tidal movements.
Wind: A power plant in which the prime mover is a wind turbine. Electric power is generated by the conversion of wind power into mechanical energy.
Solar: Electricity created using Photovoltaic (PV) technology which converts sunlight into electricity.
Wave: Electricity generated from mechanical energy derived from wave motion.
Geothermal: Electricity generated from heat emitted from within the earth’s crust, usually in the form of hot water or steam.

C – Combustible fuel

Coal: A readily combustible, black or brownish-black rock-like substance, whose composition, including inherent moisture, consists of more than 50% by weight and 70% by volume of carbonaceous material. It is formed from plant remains that have been compacted, hardened, chemically altered and metamorphosed by heat and pressure over geologic time without access to air.
Natural gas: A mixture of hydrocarbons (principally methane) and small quantities of various hydrocarbons existing in the gaseous phase or in solution with crude oil in underground reservoirs.
Wood (Report for “Dry” method): Wood and wood energy used as fuel, including round wood (cord wood), lignin, wood scraps from furniture and window frame manufacturing, wood chips, bark, sawdust, forest residues, charcoal and pulp waste.
Spent pulping liquor: A by-product in the paper making process, containing carbohydrate and lignin decomposition products.
Methane (landfill gas): A biogas composed principally of methane and carbon dioxide produced by anaerobic digestion of landfill waste.
Municipal and other waste: Wastes (liquids or solids) produced by households, industry, hospitals and others (examples: paper, cardboard, rubber, leather, natural textiles, wood, brush, grass clippings, kitchen waste and sewage sludge).
Other biomass (food processing): Can include residues produced during the processing of a product, such as cheese whey, canning factory residues, fruit pits, apple pomace and coffee grounds.
Other biomass (type unknown): Any other type of biomass not otherwise identified on the questionnaire. Specify in the spaces provided.

D – Receipts of electricity from the U.S.A.

If applicable, please report the total quantity of electricity (MWh) and Canadian dollar value (thousands of dollars) this business imported/purchased from the United States.

E – Receipts of electricity from within Canada

If applicable, please report the total quantity of electricity (MWh) and total dollar value (thousands of dollars) purchased or received from within and/or other provinces (e.g., other utilities/producers, transmitters, distributors).

F –Total Supply

This is the sum of Total Generation, Total Receipts from United States, Total Receipts from Other Provinces and Total Receipts from Within Province. The Total Supply number must equal the Total Disposal number.

G – Deliveries of electricity to the U.S.A.

If applicable, please report the total quantity of electricity (MWh) and Canadian dollar value (thousands of dollars) this business sold/exported to the United States.

H – Deliveries of electricity within Canada

If applicable, please report the total quantity of electricity (MWh) and total dollar value (thousands of dollars) your company sold to other domestic companies, by province or territory.

I –Transmission, distribution and other losses

  • Include
    • transmission losses
    • adjustments
    • "unaccounted for" amounts which are subject to variation because of cyclical billing
  • Exclude
    • generating station use output as measured at the generating station gate.

Thank you for your participation.

Reporting Guide

Statistics Canada
Environment, Energy and Transportation Statistics Division
Energy Section

This guide is designed to assist you as you complete the 2016 Annual Electricity Supply and Disposition Survey.

Help Line: 1-877-604-7828

Confidentiality

Statistics Canada is prohibited by law from releasing any information it collects which 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.

Table of contents

A – Reporting Instructions

Please report information for the period of January to December, 2016.

Please complete all sections as applicable.

If the information requested is unknown, please provide your best estimate.

This guide is designed to assist you as you complete the 2016 Annual Electricity Supply and Disposition Survey. If you need more information, please call 1-877-604-7828.

B – Electricity Generation Method

Nuclear: Electricity generated at an electric power plant whose turbines are driven by steam generated in a reactor by heat from the fission of nuclear fuel.

Hydro: Electric power generated from a plant in which the turbine generators are driven by flowing water.

Tidal: Electric power generated from a plant in which turbine generators are driven from tidal movements.

Wind: A power plant in which the prime mover is a wind turbine. Electric power is generated by the conversion of wind power into mechanical energy.

Solar: Electricity created using Photovoltaic (PV) technology which converts sunlight into electricity.

Wave: Electricity generated from mechanical energy derived from wave motion.

Geothermal: Electricity generated from heat emitted from within the earth’s crust, usually in the form of hot water or steam.

C – Combustible fuel

Coal: A readily combustible, black or brownish-black rock-like substance, whose composition, including inherent moisture, consists of more than 50% by weight and 70% by volume of carbonaceous material. It is formed from plant remains that have been compacted, hardened, chemically altered and metamorphosed by heat and pressure over geologic time without access to air.

Natural gas: A mixture of hydrocarbons (principally methane) and small quantities of various hydrocarbons existing in the gaseous phase or in solution with crude oil in underground reservoirs.

Wood (Report for "Dry" method): Wood and wood energy used as fuel, including round wood (cord wood), lignin, wood scraps from furniture and window frame manufacturing, wood chips, bark, sawdust, forest residues, charcoal and pulp waste.

Spent pulping liquor: A by-product in the paper making process, containing carbohydrate and lignin decomposition products.

Landfill gas: A biogas composed principally of methane and carbon dioxide produced by anaerobic digestion of landfill waste.

Municipal and other waste: Wastes (liquids or solids) produced by households, industry, hospitals and others (examples: paper, cardboard, rubber, leather, natural textiles, wood, brush, grass clippings, kitchen waste and sewage sludge).

Other biomass (food processing): Can include residues produced during the processing of a product, such as cheese whey, canning factory residues, fruit pits, apple pomace and coffee grounds.

Other biomass (type unknown): Any other type of biomass not otherwise identified on the questionnaire. Specify in the spaces provided.

D – Receipts of electricity from the U.S.A.

If applicable, please report the total amount of electricity (MWh) and Canadian dollar value (thousands of dollars) this business imported/purchased from the United States.

E – Receipts of electricity from within Canada

If applicable, please report the total quantities of electricity (MWh) and total dollar value (thousands of dollars) purchased or received from within and/or other provinces (e.g., other utilities/producers, transmitters, distributors).

F – Total Supply

This is the sum of Total Generation, Total Receipts from United States, Total Receipts from Other Provinces and Total Receipts from Within Province. The Total Supply number must equal the Total Disposal number.

G – Deliveries of electricity to the U.S.A.

If applicable, please report the amount of electricity (MWh) and Canadian dollar value (thousands of dollars) this business sold/exported to the United States.

H – Deliveries of electricity within Canada

If applicable, please report the amount of electricity (MWh) and total dollar value (thousands of dollars) your company sold to other domestic companies, by province or territory.

I – Transmission, distribution and other losses

Include :

  • transmission losses
  • adjustments
  • "unaccounted for" amounts which are subject to variation because of cyclical billing

Exclude :

  • generating station use output as measured at the generating station gate.

Thank you for your participation.

Population Centre and Rural Area Classification 2016

Introduction

Status

The Population Centre and Rural Area Classification 2016 is the current departmental standard and was approved on January 16, 2017.

What's new?

The Population Centre and Rural Area Classification is a new departmental standard.

Population Centre and Rural Area Classification 2016

The Population Centre and Rural Area Classification 2016 provides standard names and codes for Canada's population centres (POPCTRs) and rural area (RA). A classification variant provides the standard names and codes for POPCTRs and RA by province and territory.

Background

The Population Centre and Rural Area Classification has been developed to classify population centres and rural area.

The term 'urban' is widely used and one that people intuitively understand – a concentration of population at a high density. It is the opposite of 'rural', where population is not concentrated but dispersed at a low density. This intuitive perspective readily identifies the extremes of what is really a continuum. What is not so intuitive is how to segment the continuum.

Statistics Canada defined urban areas using the same methodology based on population size and density from the 1971 Census through to the 2006 Census. An 'urban area' was defined as having a population of at least 1,000 and a density of 400 or more people per square kilometre. All territory outside an urban area was defined as rural area. Together, urban areas and rural area covered the entire nation.

This methodology established a simple urban-rural dichotomy for Canada. However, the approach was not without some challenges. The term 'urban' is widely used and the interpretation of what is 'urban' often depends on points of view, interests and applications.

From the 1971 Census through the 2006 Census, all communities that met the minimum population concentration and density requirements of the definition were labelled as urban areas. They included small centres with a population of 1,000, up to those of more than one million. This approach ignored the differences among these urban areas by treating them as a single group. Given the widely accepted view that a more dynamic urban-rural continuum existed, the use of the term 'urban area' as it was then defined could have led to misinterpretations.

In addition, because of the broad interpretation of 'urban', Statistics Canada had not been using the term consistently when disseminating its data. In particular, the term 'urban' was sometimes used when referring to a census metropolitan area or a census agglomeration. Such areas are groupings of municipalities and typically included a combination of both urban areas and rural area.

In 2010, two changes were made to address these challenges. First, the term 'population centre' replaced the term 'urban area'. A population centre was defined as an area with a population of at least 1,000 and a density of 400 or more people per square kilometre. All areas outside population centres continued to be defined as rural area.

Secondly, population centres were divided into three groups based on the size of their population to reflect the existence of an urban-rural continuum:

  • small population centres, with a population of between 1,000 and 29,999
  • medium population centres, with a population of between 30,000 and 99,999
  • large urban population centres, consisting of a population of 100,000 and over.

While other classifications were possible, the intent of this set was to provide users with a basic starting point to better understand the dynamic landscape of Canada.

Users of the former urban area concept are still able to continue with their longitudinal analysis using population centres.

These changes were meant to improve interpretation of Statistics Canada data and help users in the study of the Canadian urban-rural landscape and its issues.

In 2016, two new criteria were added to the delineation rules for population centres: the use of a secondary population density threshold as well as employment density.

Conceptual framework and definitions

The Population Centre and Rural Area Classification conforms to the basic principles of statistical classification. It consists of a set of discrete units that are mutually exclusive and, in total, cover the entire universe. Usually, a classification appears as a hierarchy, each level of which satisfies the above-mentioned principles and is defined by the uniform application of a single criterion. Applied to geography, these principles result in a classification consisting of geographic areas whose boundaries are specifically delimited in accordance with well-defined concepts and which, in total, cover the entire landmass of Canada.

The Population Centre and Rural Area Classification is one of a family of geographical classifications approved and used in Statistics Canada. These geographical classifications provide the basic definitions of geographic areas which, when adopted for data collection and dissemination, result in statistics that are comparable among data series and over time.

In the Population Centre and Rural Area Classification 2016, there are 30 large urban population centres, 57 medium population centres and 918 small population centres.

1. Population centres

A population centre (POPCTR) has a population of at least 1,000 and a population density of 400 persons or more per square kilometre, based on population counts from the current Census of Population. All areas outside population centres are classified as rural areas.

Taken together, population centres and rural areas cover all of Canada.

Population centres are classified into three groups, depending on the size of their population:

  • small population centres, with a population between 1,000 and 29,999
  • medium population centres, with a population between 30,000 and 99,999
  • large urban population centres, with a population of 100,000 or more.

The population of the population centre includes all population living in the cores, secondary cores and fringes of census metropolitan areas (CMAs) and census agglomerations (CAs), as well as the population living in population centres outside CMAs and CAs.

As part of the 2016 Census, derivation of population centres used a revised set of criteria. 2016 Census dissemination blocks were used as building blocks for the delineation. In addition, new thresholds were added to the delineation steps.

The population density of 400 persons per square kilometre was retained as the primary density threshold and a secondary population density threshold of 200 persons per square kilometre was added. Employment density was also added to the delineation. Employment density was calculated for each dissemination block based on data obtained from Statistics Canada's Business Register and a threshold of 400 employees per square kilometre was chosen for the delineation.

The 2016 delineation rules for population centres are ranked in order of priority:

  1. If a dissemination block or group of contiguous dissemination blocks, each having a population density of at least 400 persons per square kilometre for the current census, then the dissemination block or group of contiguous dissemination blocks is delineated as a population cluster.
  2. If a dissemination block has a population density of at least 200 persons per kilometre or an employment density of 400 employees per square kilometre and it is adjacent to a population cluster, then it is added to that cluster.
  3. In order to be retained as a population centre, the resulting population cluster must have a minimum population of 1,000 and a population density of at least 400 persons per square kilometre.
  4. The distance by road between population centres is measured. If the distance is less than two kilometres, then the population centres are, in most cases, combined to form a single population centre. Certain restrictions apply when combining population centres located less than two kilometres apart. For example, population centres are only combined provided they do not cross census metropolitan area (CMA) or census agglomeration (CA) boundaries, or if the population centre, which is also a secondary core, is not combined with another core. In some instances, population centres are not combined because the current block structure does not always permit such a merger. For example, if the addition of intermediate blocks would cause the population density of the newly-formed population centre to drop below 400, then the blocks would not be added and the two near adjacent population centres would remain separated.
  5. Dissemination blocks that correspond to airport locations and are less than two kilometres away from the population centre are added to the population centre, provided they do not compromise the population density threshold of 400 persons per square kilometre.
  6. Interior holes are filled and irregularities to outer boundaries are smoothed.

The resulting population centres are reviewed and may be modified to ensure spatial contiguity and optimal boundaries.

2. Rural areas

Rural areas (RAs) include all territory lying outside population centres (POPCTRs). Taken together, population centres and rural areas cover all of Canada.

Rural population includes all population living in rural areas of census metropolitan areas (CMAs) and census agglomerations (CAs), as well as population living in rural areas outside CMAs and CAs.

Classification structure and codes

The Population Centre and Rural Area Classification has two levels. The relationship is illustrated in Figure 1.

Figure 1 Population Centre and Rural Area Classification hierarchy
Figure 1 Population Centre and Rural Area Classification hierarchy
Description of Figure 1
  • Level 1
    • Population centre size class categories and rural area
  • Level 2
    • Large urban population centres
    • Medium population centres
    • Small population centres
    • Rural area.

Level 1: Population centre size class categories and rural area

The first level is made up of the four category names: large urban population centres, medium population centres, small population centres and rural area.

Level 2: Population centres and rural area

The second level is made up of the names and codes of population centres that fall within their specific size class category. All population centres are identified using four-digit codes.

Classification variant

In Statistics Canada, variants are created and adopted in cases where the version of the base classification does not fully meet specific user needs for disseminating data or for sampling in surveys. A classification variant is based on a classification version such as the Population Centre and Rural Area Classification 2016. In a variant, the categories of the base classification version are aggregated, regrouped or extended to provide additions or alternatives (e.g., context-specific additions) to the standard structure of the base version.

Variant: Population Centre and Rural Area 2016 by Province and Territory

The Population Centre and Rural Area 2016 by Province and Territory is a variant of the Population Centre and Rural Area Classification. This classification variant has two additional levels in the hierarchy of the classification:

  • Geographical regions of Canada
  • Provinces and territories

This allows for the classification of the population centre size class categories and rural area by provincial and territorial parts. The hierarchical structure of the classification is shown in Figure 2.

Figure 2 Variant: Population Centre and Rural Area by Province and Territory
Figure 2 Variant: Population Centre and Rural Area by Province and Territory
Description of Figure 2
  • Level 1
    • Geographical regions of Canada
  • Level 2
    • Provinces and territories
  • Level 3
    • Population centre size class categories and rural area by province and territory
  • Level 4
    • Large urban population centres by province and territory
    • Medium population centres by province and territory
    • Small population centres by province and territory
    • Rural area by province and territory

Level 1: Geographical regions of Canada

The geographical regions of Canada are groupings of provinces and territories established for the purpose of statistical reporting. The six geographical regions of Canada are:

  • Atlantic
  • Quebec
  • Ontario
  • Prairies
  • British Columbia
  • Territories

Level 2: Provinces and territories

'Province' and 'territory' refer to the major political units of Canada. From a statistical point of view, province and territory are basic areas for which data are tabulated. Canada is divided into 10 provinces and 3 territories.

Level 3: Population centre size class categories and rural area by province and territory

This level is made up of the four category names (large urban population centres, medium population centres, small population centres and rural area), by province and territory.

A provincial or territorial part designation is included with the name of the population centre size class category and rural area by province and territory. For example, under the province of Alberta, the four categories of this level are:

  • Large urban population centres (Alberta)
  • Medium population centres (Alberta)
  • Small population centres (Alberta)
  • Rural area (Alberta)

Level 4: Population centres and rural area by province and territory

This level is made up of the names and codes of population centres that fall within their specific size class category, by province and territory. All population centres in this variant are identified with a six-digit code: the two-digit province/territory code followed by the four-digit population centre code.

There are five cases where the population centres cross provincial boundaries in the base classification. In the variant, the provincial parts are presented for each of the population centres. This is useful for the separate analysis of these population centres that have provincial parts. The codes and names of the provincial parts of these population centres are:

  • 13 0122 Campbellton (New Brunswick part)
  • 24 0122 Campbellton (Quebec part)
  • 24 0365 Hawkesbury (Quebec part)
  • 35 0365 Hawkesbury (Ontario part)
  • 24 0616 Ottawa–Gatineau (Quebec part)
  • 35 0616 Ottawa–Gatineau (Ontario part)
  • 46 0282 Flin Flon (Manitoba part)
  • 47 0282 Flin Flon (Saskatchewan part)
  • 47 0478 Lloydminster (Saskatchewan part)
  • 48 0478 Lloydminster (Alberta part)