Manufacturing and Wholesale Trade Division: Environmental Scan

Abstract

In 2015, the Manufacturing and Wholesale Trade Division conducted an environmental scan of its products and services. The objective of the exercise was to ensure the ongoing relevance of the statistical information produced by the division for data users. This report highlights the key data gaps and deficiencies identified through the process, as well as the projects planned to bridge them.

Table of contents

Note of appreciation

The environmental scan for the Manufacturing and Wholesale Trade Division (MWTD) would not have been possible without the important contributions of a number of people.

Andy Kohut, director of MWTD until his retirement in 2015, offered guidance and inspiration for this project.

Great thanks and appreciation go out to Elizabeth Richards, who authored various drafts of this report and participated in a number of meetings with stakeholders and data users.

A number of staff in MWTD participated in meetings with stakeholders, key clients, and data users across Canada. Their effort and enthusiasm for organizing meetings, attending them, compiling notes and following up when required are greatly appreciated. Indeed, the scan project highlighted the dedication and commitment of MWTD employees to producing high quality statistical information that matters.

Finally, MWTD extends thanks to everyone who took the time to meet and share their thoughts on MWTD programs. Their comments on data gaps, deficiencies, and ways that MWTD data products could be more relevant or otherwise improved are greatly appreciated. A full list of data users and stakeholders who were consulted for the environmental scan can be found in the Appendix.

Executive summary

Statistics Canada's mission is to serve Canadians with high-quality statistical information that matters. Ensuring the relevance of programs is key to accomplishing that mission. From March to June 2015, the manufacturing and wholesale programs at Statistics Canada conducted an environmental scan of products and services by meeting with key stakeholders to review their needs and thereby identify data gaps and deficiencies. We consulted a variety of data users to ensure that different perspectives were well represented. The provincial and federal governments were consulted, as well as users in the private sector, crown corporations and academia.

As a result of the environmental scan, we were able to conduct a strategic review of the manufacturing and wholesale programs and are moving forward with improvements. This report highlights some of the key recommendations from users and provides a list of the projects planned for 2016/2017 to bridge high-priority data gaps.

Highlights of recommendations:

  • Users want more information on the manufacturing and wholesale trade sectors at the provincial and sub-provincial levels, including interprovincial trade. Multiple data points are suppressed at the provincial level to protect the confidentiality of respondents, and those suppressions limit analysis at the provincial level. The manufacturing and wholesale programs need to explore how to publish additional information while respecting the confidentiality of reported data. Users also recommended that data be published at the local or sub-provincial level, as they want an understanding of local trends.
  • Users want more information on business dynamics to better understand structural changes in the economy. For example, it was recommended that the manufacturing and wholesale programs publish data on firm creation for manufacturing, or a measure of the indirect labour associated with the sector.
  • Users have questions on emerging trends and activities that cannot be answered by currently available products. For example, their analysis would benefit from data on price-deflated sales at the industry level or information on emerging products, such as green goods or high technology content goods.
  • Users need a stronger understanding of how manufacturing and wholesale trade sectors are evolving in a globalized economy. They anticipate that measuring offshoring activity for the manufacturing sector will become increasingly important, as Canadian businesses become more likely to specialize in design, and to move the manufacturing portion of their operations offshore.
  • Finally, users want to leverage Statistics Canada's subject-matter expertise through additional analytical products and context to complement data products.

As a result of the environmental scan feedback, a number of projects are planned for 2016/2017 to bridge some of the data gaps identified by users.

Highlights of planned projects:

  • Constant dollar series at the industry level will be developed and published on a monthly basis for the manufacturing and wholesale industries.
  • The manufacturing program will research and implement strategies to reduce confidentiality suppressions at the provincial level to improve the analysis of provincial trends.
  • An analytical paper was published on manufacturing sales and employment in various census metropolitan areas, and additional research will be conducted to explore publishing local-level manufacturing data on an ongoing basis.
  • The manufacturing and wholesale programs will provide more contextual information to support data products by adding information on prices or the impact of economic events in The Daily, and by publishing a number of longer analytical pieces.

These projects will add substantial value to the manufacturing and wholesale programs; however, they do not address all of the data gaps and deficiencies identified through the environmental scan. Additional recommendations, which will lead to more extensive updates to the programs, will require further planning. Over the next year, both programs will develop a five-year plan to address these gaps and deficiencies in the future.

Introduction

Manufacturing and wholesale trade in Canada

The manufacturing and wholesale trade sectors in Canada are a high priority for government, businesses, investors and Canadians. Both sectors are important to the overall health of the economy. In 2015, the manufacturing sector represented 10.5% of Canada's total gross domestic product, while the wholesale trade sector accounted for 5.8%. In that same year, manufacturers employed 9.5% of the working population and wholesalers employed 5.0%—a total of 2.3 million jobs. Canadian manufacturers and wholesalers also contribute significantly to international trade. For example, motor vehicle manufacturers export roughly 85% of vehicles assembled in Canada.

Chart 1: Importance of manufacturing and wholesale trade sectors
Chart 1: Importance of manufacturing and wholesale trade sectors
Description of Chart 1

Pie chart: Gross domestic product for manufacturing and wholesale trade, percentage of all industries (2015), at basic prices

  • Manufacturing: 10.5%
  • Wholesale trade: 5.8%
  • All other sections: 83.7%

Source(s): Gross domestic product at basic prices, CANSIM table 379-0031

The manufacturing and wholesale trade sector information is a key input for data on gross domestic product. Data from the manufacturing and wholesale programs are used by Finance Canada and the Bank of Canada in developing fiscal and monetary policies. Data are also employed by a variety of other users, such as provincial, territorial and federal departments, as well as banks and private sector users to support their decision-making processes.

Both the manufacturing and wholesale programs publish monthly and annual surveys (see the Appendix for a list of published statistics). The monthly surveys provide important current economic indicators, which produce a timely snapshot of the health of both sectors about 45 days after the reference month. The media, policy-makers and industry analysts track the monthly survey results to measure the performance of manufacturers and wholesalers. The annual surveys are published roughly 15 months after the reference calendar year and provide a more comprehensive and detailed understanding of the sectors, including financial information, business characteristics and commodity level detail.

Context

As part of the Corporate Business Plan, the Chief Statistician of Canada identified responding to the evolving information needs of users and stakeholders as a priority for the agency over the next few years. In order to align our resources to meet the most important priorities of users, we need to engage and connect with stakeholders to improve our understanding of their needs (Corporate Business Plan, 2015/2016 to 2017/2018).

Our goals in conducting an environmental scan were to:

  • engage users
  • review their data needs
  • identify data gaps and deficiencies
  • gather information on emerging demands and priorities.

By conducting the environmental scan, the manufacturing and wholesale programs are renewing their relationships with users, expanding contacts and ensuring that the programs remain useful and relevant. It is important that we understand how our data are used and the questions policy-makers and researchers will have to answer in the next few years on the manufacturing and wholesale trade sectors. With a strategic review of the recommendations received through the consultations, both programs will develop a mid- to long-term vision.

Process

The manufacturing and wholesale programs consulted a variety of users to ensure that different perspectives were well represented in the environmental scan findings. In an effort to gather feedback from as many stakeholders as possible, consultations were advertised on the Statistics Canada website. The objectives and contact information were posted in the Consulting Canadians module.

Consultations started with internal users, who shared their perspectives on efficiencies and emerging trends. Meetings were held with one of the key data users, the Canadian System of Macroeconomic Accounts, as well as with other subject-matter divisions within Statistics Canada. Participants discussed potential collaborations with consulted divisions, as well as efficiencies related to methodology and systems.

Chart 2: Consultations throughout Canada
Chart 2: Consultations throughout Canada
Description of Chart 2

A diagram of a pyramid with the following labels, from top to bottom:

  • StatCan internal users
  • Provinces and territories
  • Banks
  • Federal departments
  • Academics
  • Industry associations
  • Private sector

We were able to consult various ministries within provincial governments thanks to support from provincial statistical focal points, a network of 13 provincial/territorial official representatives who collaborate with Statistics Canada to determine data requirements, who consult on current statistical activities and who coordinate the dissemination of Statistics Canada's products to provincial and territorial governments. Consultations were held with private banks, as well as the Bank of Canada and Industry Canada. Academics in the economics and business faculties of several universities were also consulted; they expressed a unique perspective and were keen to provide feedback on our confidentiality and dissemination policies. Finally, we met with a variety of other users, such as industry associations and private sector analysts. For a complete list, please see the list of consulted organizations in the Appendix.

Chart 3: Timeline for the environmental scan
Chart 3: Timeline for the environmental scan
Description of Chart 3

Developing a vision and a strategic plan

  • March to June 2015: Consultations throughout Canada
  • August 2015: Feedback from senior management
  • Fall 2015: Project proposals
  • Winter 2016: Final report
  • 2016/ 2017: Project implementation
  • Beyond: Renewal of strategic plan

Staff assigned to the manufacturing and wholesale programs travelled throughout Canada to meet with users from March to June 2015. They also sought feedback through teleconference calls and email correspondence. The feedback gathered from participants was documented and the key recommendations were presented to senior management at Statistics Canada in August 2015. As a result of the feedback, project proposals were developed to meet the most pressing needs of users, concurrent with the continuing development of a strategic plan and vision for both programs. These projects will be implemented in 2016/2017 and are documented in Approved projects.

Data gaps and deficiencies

The feedback and recommendations from users are summarized in this section and organized in five different themes:

  • users want more detail at the provincial and sub-provincial levels
  • users want more information on business dynamics
  • users have questions on emerging trends
  • users want a better understanding of Canadian manufacturing and wholesaling in a global context
  • users want to leverage Statistics Canada's subject-matter expertise.

The data gaps described in this section speak to the relevance of the manufacturing and wholesale programs and how products can be improved. The subsequent section will address deficiencies in the other dimensions of information quality: accuracy, timeliness, accessibility, interpretability and coherence.

Users want more detail at the provincial and sub-provincial levels

Confidential suppressions at the provincial level

To protect the confidentiality of respondents, Statistics Canada applies a confidentiality mask prior to disseminating information to ensure that confidential data cannot be identified. As a result, data on some industries at the national and provincial level may be suppressed. Secondary suppressions are made to prevent users from calculating suppressed data through subtraction from totals. Reducing both primary and secondary suppressions for industry data at the provincial level was a high priority for provincial ministries.

Users communicated that the suppressions limit their ability to fully understand the manufacturing and wholesale trade sectors in their province. For example, in British Columbia, clothing manufacturing has grown in recent years. For confidentiality reasons, Statistics Canada does not publish data for the industry and, therefore, users are unable to fully understand the extent of the growth. In the Atlantic provinces, most industry-level data for manufacturing and wholesaling industries are not public. It was suggested that the data be combined for multiple provinces to allow Statistics Canada to publish the series. Data for some industries, such as food manufacturing in New Brunswick, have been confidential for years, despite the fact that they are vital to understanding employment and output fluctuations related to seafood in the province.

Users also communicated that changing confidentiality patterns impede their ability to understand trends at the industry level, as data for some industries will shift between published and confidential over time.

Sub-provincial level data, by census metropolitan area or regional development area

Users want to understand dynamics for cities and economic regions at the industry level. Depending on the province, the importance of manufacturing or wholesale trade will vary from one region to another. Publishing local level data would benefit users and allow them to better understand different sub-provincial economies.

Data on inter-provincial and intra-provincial trade

For provincial departments, understanding inter-provincial and intra-provincial trade is becoming an increasingly important policy topic as provincial trade agreements are being renegotiated. During the consultations, some users highlighted the importance of data on commodity-level shipments, mode of transportation and the weight of the shipments between provinces, illustrating the desire to have information that can be related across different sectors of the economy.

Users want more information on business dynamics

Additional data

Our users stressed the importance of collecting data on direct and indirect employment figures, as well as the number of establishments in the manufacturing sector, to better understand business dynamics. Although the Business Register currently publishes a snapshot of the number of manufacturing establishments on a monthly basis, this dataset is not recommended for longitudinal analysis, because of multiple operational updates and changes to Statistics Canada's methodology or collection systems.

Business dynamics and competitiveness

Users want a better understanding of business dynamics for the manufacturing and wholesale trade sectors. For example, users are interested in data related to firm creation. They are interested in assessing how competitive Canadian manufacturers are in buying inputs for their production compared with those in the United States. Users also recommended more information on different aspects of competitiveness.

Users have questions on emerging trends

Constant dollars by industry

Obtaining constant dollar data at industry and provincial levels was another top priority for users. Users want to understand whether trends are related to price or volume changes.

High technology content goods or green goods

Users expressed interest in understanding the performance of companies that produce high technology content goods and green goods. They are also interested in tracking the value of those products. Identifying industries that are likely to produce a certain type of commodity is not detailed enough for users. They would like data on certain high-profile commodities to determine emerging demand.

Small and medium enterprises

Users are also interested in understanding small and medium enterprises. In most industries, some larger manufacturers will play a significant part in determining monthly or annual trends. Therefore, it is important to be able to isolate small and medium enterprises to understand their performance. Users have different definitions of what constitutes a small or medium enterprise, most of which are based on the number of employees. Given that the sampling methodology for the manufacturing and wholesale surveys is based on the value of sales, there are a number of conceptual or methodological challenges in producing data on small and medium enterprises.

Online sales for manufacturers and wholesalers

Users want to capture online sales for manufacturers and wholesalers, because of their growing importance.

Users want to better understand the manufacturing and wholesale sectors within the global context

How are global value chains evolving?

Some academics are studying the relationship between manufacturing and wholesale trade to gain a better understanding of global supply chains. The relative importance of the manufacturing sector within the Canadian economy has declined in recent years, and researchers are looking to understand how Canadian manufacturing is evolving in a global economy. Are manufacturers shifting their business model to outsourcing manufacturing activity and undertaking more design work in Canada? Are wholesalers buying and reselling a product abroad without it ever entering Canada? Do firms hold inventories abroad?

Trade and economic statistics

Users want to understand the relationship between manufacturing growth and export trends. There is currently no concordance list between the North American Industry Classification System (NAICS) and the North American Product Classification System (NAPCS). This limits the ability of users to link industry and commodity level data.

Additional gaps and deficiencies

Some users expressed a need for seasonally adjusted wholesale data by industry and by province. Currently, data on wholesale sales by province are not seasonally adjusted. In addition, manufacturing sales are only seasonally adjusted for larger industries. Other users expressed interest in the possibility of publishing inventory and unfilled orders at the provincial level. This would improve the quality of their gross domestic product calculations and forecasts.

Clarify questionnaire for Sawmills Program

Currently, there are issues in terms of understanding how to report shipments as transfers for companies that are vertically integrated. Companies sometimes report their output as transfers instead of shipments. The concepts used in the Survey of Sawmills need to be clarified, and the reporting guide for respondents needs to be updated.

Users want to leverage Statistics Canada's subject-matter expertise

The Daily

Users want to leverage subject-matter expertise from Statistics Canada, whether in The Daily or through analytical products. In terms of The Daily, some of the smaller provinces mentioned that they are rarely included in the monthly analysis published by the Monthly Survey of Manufacturing (MSM) or the Monthly Wholesale Trade Survey (MWTS). Users also indicated that they value analysis that pertains to additional indicators or longer-term trends.

Other analytical products

In addition to The Daily, users find longer or descriptive analytical pieces helpful in providing context or explaining trends. MWTD's annual article on the manufacturing sector is well received.

Capacity utilization

In January 2016, the manufacturing program began collecting information on capacity utilization at the plant level through the MSM. Once the response rates stabilize and the quality of the data is considered acceptable for dissemination, the information will be published. Capacity utilization data will provide context at the industry level and help explain trends. They will also be used in The Daily to provide more insight on economic events affecting industries.

During the consultations, users were presented with the capacity utilization questions to be added to the MSM questionnaire. The feedback on the new questions was positive.

Dimensions of information quality

Accuracy

During the consultations, a number of users challenged trends or values in our data. We encouraged users to send in data inquiries with their concerns or specific questions. Given that users have a significant amount of subject-matter expertise, the consultations showed that we need to improve our ability to leverage their expertise, while maintaining the integrity of our confidentiality policies.

Timeliness

Users were asked to provide feedback on the timeliness of releases. The provincial departments have a few hours to analyze the monthly releases after publication. They brief their ministers or senior managers the same day as the release. They are satisfied with the timing of the monthly releases. However, users are not satisfied with the timeliness of the annual releases; they asked that the data be released sooner.

Accessibility

Greater access to business sector microdata

Academics and some industry analysts expressed interest in greater access to the linked microdata files produced by the Economic Analysis Division (EAD). Currently, a Canadian Centre for Data Development and Economic Research (CDER) application must be filed and the researchers must travel to Ottawa (they need to work directly at Statistics Canada) to access the microdata. EAD is aware of this limitation and is working towards a long-term plan for easier microdata access. Academics also suggested that Statistics Canada create a synthetic database with all the attributes of the real database, such as dimensions and variables, but with false data. The database could then be used to create a model, and the code could be run at Statistics Canada with the results sent back for further study. For more information on CDER applications, please refer to our website.

In addition to greater access to microdata, academics also communicated a need for additional data files to be linked with manufacturing establishments, such as data on pollution and greenhouse gases. EAD is responsible for giving researchers access to its linked microdata files. The division is aware of these needs and is working toward meeting some of them in the future.

Statistics Canada Website

Generally, once users are familiar with CANSIM and with the tables that they need to access each month, they find the Statistics Canada website easy to navigate. However, new users find it very difficult to obtain the data they need. Users communicated that they often had difficulty searching for specific data sets using the search tool on CANSIM.

A break in the publication of CANSIM series will also create challenges for users. Users asked that terminated series be linked with new series, despite conceptual or methodological changes. They also asked for warning prior to CANSIM matrix changes. Many users access our data directly with statistical software and need to adapt those programs to perform their analyses.

Interpretability

Key users are well versed in concepts and methodology. However, users want more information than we currently provide. More specifically, they asked Statistics Canada to provide more information on methodology, such as sampling and imputation methods.

Users asked for advance warning when we publish data that are subject to methodology changes, with measures such as flagging changes in the relevant Daily article. They also asked if it might be possible for Statistics Canada to keep key stakeholders informed of upcoming methodology changes.

Coherence

In terms of coherence between surveys, users requested more information on the conceptual and methodological differences between surveys, especially between the Annual Survey of Manufacturing and Logging Industries (ASML), and the MSM. Users asked for explanations of the differences in levels or trends between the two surveys.

Along the same line, users would like more information on the conceptual differences between employment data previously published by the ASML, the Labour Force Survey and the Survey for Employment, Payrolls and Hours.

What's next?

A number of projects are underway to address data gaps identified during the consultations.

Constant dollars by industry

The manufacturing and wholesale programs currently publish estimates for constant, or price-deflated, estimates at the sector level for manufacturing and wholesale trade. Conditional on a review of quality, the manufacturing program will add the industry level detail to its monthly publication.

Maximize the number of published data points

A review of the current confidentiality processes will be undertaken to determine whether there is a potential for increasing the amount of published data. This will include a scrutiny of the methods, the software used to apply them and other avenues, such as obtaining wavers from respondents.

Publish small area estimates

In November 2016, an analytical paper based on ASML data and analyzing trends in manufacturing sales and employment in large cities was published. A study will be conducted in 2016 to assess the possibility of developing an estimation method for small-area manufacturing using data from the MSM.

Expand analytical capacity

Some of the environmental scan findings point to a greater need for analysis. In addition to the Annual Review of Manufacturing, which provides information on recent trends from the MSM, there are a number of other external publications planned for upcoming months, including an Annual Review of Wholesale Trade and an analytical paper describing diversity within the manufacturing sector. Increasing analytical output is a key priority for Statistics Canada.

Improving the Sawmills Survey

The content and respondent guide for the Monthly Survey of Sawmills will be reviewed with the objective of clarifying the concept of shipments as transfers. Funds have been allocated for user consultations in 2016.

Update seasonal adjustment

The wholesale program will start to publish seasonally adjusted data at the provincial level before the end of March 2017. Publishing seasonally adjusted data at the provincial level will help remove some of the volatility from seasonal and calendar effects to provide a better indicator for the trend-cycle.

Reinstate the publication of employment data from the Annual Survey of Manufacturing and Logging Industries

The ASML will reinstate data on direct and indirect manufacturing employment for the 2015 reference year. This series was deemed essential for users to fully understand structural changes in the manufacturing sector.

Capacity utilization

The intent is to begin publishing estimates for capacity utilization in late 2016 or early 2017 once the information is deemed of acceptable quality.

E-Commerce module

Modules on e-commerce were added to the ASML and the Annual Survey of Wholesale Trade for the 2015 reference year, with collection beginning in early 2016. The module will add a question on the value of e-commerce, as well as some contextual questions.

Long-term strategic plan

The projects described above will fill the high-priority data gaps identified by users. A longer-term vision will be developed to ensure that work will continue beyond next year to address the remaining needs that were identified during the consultations.

Conclusion

The environmental scan was insightful. Through the consultations, we received feedback that will shape the direction of the manufacturing and wholesale programs going forward. It was also an opportunity to renew the relationship with key users and develop a better understanding of how the data are used. The projects approved for 2016/2017 will bridge a number of data gaps identified in the environmental scan process and add significant value to the existing suite of statistical products.

Since the consultations, we have answered a number of the questions that were asked by the data users that were consulted. Many users are subject-matter experts and it is important to have a two-way exchange of information with them. All parties can benefit from sharing industry information and news from their respective programs. Feedback mechanisms will be incorporated into the production processes to address data concerns and questions post-release, such as question and answer sessions (perhaps twice per year for monthly surveys) and discussion sessions following annual releases. By continuing to engage and connect with users, the manufacturing and wholesale programs will continue to serve Canadians with high-quality statistical information that matters.

Appendix

Manufacturing and wholesale trade statistics

Chart 6: Data published by the Manufacturing and Wholesale Trade Division

Manufacturing
  • Production
    • Monthly and annual commodity surveys
      • Asphalt roofing
      • Cement
      • Industrial chemicals and synthetic resins
      • Production and disposition of tobacco products
      • Sawmills
  • Sales
    • Monthly Survey of Manufacturing
      • Sales of goods manufactured
      • New and unfilled orders
      • Closing inventories of raw materials, goods and work in progress, and finished goods
      • Ratio of total inventory to sales
      • Ratio of finished goods to sales
    • Annual Survey of Manufacturing and Logging Industries
      • Total revenue
      • Revenue from goods manufactured
      • Expenses
      • Salaries and wages
      • Cost of energy and water utility
      • Cost of materials and supplies
      • Opening inventories
      • Closing inventories
Wholesale
  • Sales
    • Monthly Wholesale Trade Survey
      • Sales
      • Inventories
      • Chained 2007 dollars
      • 2007 constant prices
      • Price index
    • Annual Wholesale Trade Survey
      • Sales of goods purchased for resale
      • Commission revenue
      • Total operating revenue
      • Opening inventories
      • Closing inventories
      • Cost of goods sold
      • Total labour remuneration
      • Total operating expenses
      • Gross margin
      • Operating profit

Potential projects according to type of stakeholder

The following chart lists the most popular recommendations, as well as the users would support the project.

Chart 7: High-priority projects supported by type of users
Project Provincial departments Bank of Canada Industry Canada Academics Banks Associations / private sector
1. Fewer suppressions Yes Yes Yes Yes Yes Yes
2. Small area estimation Yes Yes Yes Yes Yes Yes
3. Constant dollars by industry Yes Yes No No Yes No
4. Capturing factory-less goods producers No Yes Yes Yes No No
5. Trade between provinces Yes No Yes Yes No No

Participating organizations

Chart 8: List of participating organizations in provincial consultations
Province Organization
Newfoundland and Labrador Newfoundland Finance
Prince Edward Island Focal Point
Economic Statistics and Federal Fiscal Relations
Nova Scotia Focal Point
Department of Finance
New Brunswick Focal Point
Department of Finance
Department of Regional Development
Department of Agriculture, Aquaculture and Fisheries
Department of Energy and Mines
Department of Post-Secondary Education
Opportunities New Brunswick
Quebec Institut de la Statistique du Québec
Ministère de l'Économie, de l'Innovation et de l'Exportation
Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec
Ministère des Finances
Ministère des Forêts, de la Faune et des Parcs
Mouvement des Caisses Desjardins, Études économiques
Ontario Ministry of Finance, Current Analysis Group and Others
Manitoba Focal Point
Department of Agriculture Food and Rural Development
Ministry of Finance
Department of Trade and Investment
Saskatchewan Focal Point
Ministry of Finance
Alberta Focal Point
Treasury Board and Finance
Innovation and Advanced Education
International and Intergovernmental Relations
Energy
Agriculture and Rural Development
Statistics Canada Regional Office
British Columbia Focal Point
Jobs, Tourism and Skills Training
Treasury Board
Northwest Territories Ministry of Finance
Chart 9: list of other participants
Category Division/Area
Government Bank of Canada
Industry Canada
Natural Resources Canada
Banks, Industry Associations and Consulting Firms Royal Bank of Canada
TD Bank
Cement Association
Tire and Rubber Association
Canadian Fertilizer
Chemical Association
Forest Product Association of Canada
Canadian Industrial Energy End-Use Data and Analysis Centre
Canadian Fuels
Canadian Foundry Association
Canadian Manufacturers and Exporters
MNP Consulting
Academia University of Calgary – Economics Department
University of Alberta – Economics Department
University of British Columbia – Economics Department
University of British Columbia – Business School
Simon Fraser University – Economics Department
Simon Fraser University – School of Resource and Environmental Management
Dalhousie – Economics
University of Regina – Economics Department
Université de Laval – Faculté de l'économie
Université de Laval – Faculté des sciences de l'administration

Additional discussion questions

Discussion questions

  1. Tell us about the nature of the work that you do.
    1. What subject matter and topics do you work on, and what questions do you try to answer?
    2. What types of analysis is conducted using STC data?
    3. What kinds of material do you prepare (decks, briefing notes, etc.)
    4. What timeframe do you usually have to conduct research?
    5. What indicators do you develop using STC data?
    6. What types of analysis would you like to be able to conduct?
  2. Are the manufacturing and wholesale trade programs useful for you?
    1. What data are being used? For what purpose? How are they being used?
    2. What are the most important data, for their purposes?
  3. Other than STC data, are you using any other external data, to complement or supplement STC data? What about any external analysis?
    1. Are you creating any databases from multiple STC sources?
    2. Are you using any external performance indicators for industries?
    3. Where do you get information on industry performance?
  4. Are there gaps or deficiencies in the current data that are collected? What other data would you like to have?
    1. Are there gaps in the current statistical programs? If so, what kinds of gaps are there:
      1. Need greater granularity/level of detail by industry? By geography?
      2. What other data should be collected?
      3. Any suppressed industries that are important to you?
  5. What are the key policy issues and questions in the manufacturing and wholesale sectors that you foresee being asked to address over the next five years?
    1. Do you foresee any changes in the data that you will need going forward?
      1. Are there industries that will become more important in size and will need to be measured or tracked?
  6. Are there other products and services that you require? (e.g., special tabulations, data sharing agreements, workshops about available data, analytical pieces).
    1. Are there products you would be willing to pay for?
    2. Would you be willing to pay for an expansion of our surveys in any area?
  7. Are there any improvements we can make in terms of accuracy, timeliness, accessibility, interpretability, coherence or objectivity?
    1. Accuracy:
      1. How would you judge the quality of available data?
      2. Do you analyze the data quality when using data sets?
      3. Are the data able to measure what they are intended to measure?
      4. Do you see bias or systematic errors in the data? Are there unacceptable levels of variance (random error) in the data?
      5. Do you see problems with coverage, sampling, response, non-response?
    2. Timeliness:
      1. Are the data and products available on a timely basis (i.e. minimal delay between the end of the reference period and the date of release)?
      2. How much time do you have between our monthly and annual releases to produce an analytical report or briefing?
    3. Accessibility:
      1. Do you use CANSIM regularly?
      2. Are you familiar with our CANSIM tool and comfortable using it?
      3. Do you use any other data sources regularly?
      4. How often do you need special tabulations for data? What variables do you need?
      5. What other data sites do you like to use, or are easy to access and manipulate?
      6. What are the barriers you have to accessing STC data? Are costs a barrier?
    4. Is the contextual information / background documents provided sufficient to meet your needs?
      1. Do STC confidentiality requirements provide problems for you?
      2. How easy is it to find out about available data?
      3. How easy is it to find/get the data from Statistics Canada that you need?
      4. How do you get/access the data? Where do you go? How do you get the data? (e.g. CANSIM, special tables from the Manufacturing and Wholesale Trade Division?)
      5. Are there barriers to access (e.g., cost, technology, difficult to use CANSIM)?
      6. Do confidentiality rules reduce the availability of data (e.g. through over-suppression)?
    5. Interpretability:
      1. Can you find the necessary metadata or documentation to be able to understand and use the data appropriately?
      2. Do you use the information available on concepts, variables, classifications used, methodology of data collection and processing, indicators of accuracy or quality, etc.?
      3. Should we include more information on how the data are produced or how the data compare with other surveys?
    6. Coherence:
      1. Are the data coherent over time?
      2. Do the data adhere to standard concepts, classifications, target populations, and methodology?
      3. Do the classifications meet your needs? Do you create any special tabulation for industries as per your own definitions?
      4. Can the data be used with other data from Statistics Canada or other statistical sources? For example, in conjunction with employment or investment data?
    7. Objectivity:
      1. Are the data considered credible, objective, impartial? Do you trust the data from these programs?
  8. What would you say are the three most important issues that should be addressed by the manufacturing and wholesale trade statistics programs? If you could pick three areas to focus on, what would you do/fix/add?
Date modified:

SGC 2016 - Information on reference maps

About the maps

Volume II of the Standard Geographical Classification (SGC) 2016 provides a series of reference maps that show the boundaries, names and SGC codes of all census divisions (CDs) and census subdivisions (CSDs) in Canada, in effect on January 1, 2016. It also provides the names, codes and areal extent of census metropolitan areas (CMAs), census agglomerations (CAs), census metropolitan influenced zones (MIZs) and economic regions (ERs). Definitions for these terms are found in Volume I of the Standard Geographical Classification (SGC) 2016, Catalogue no. 12-571-X. Concordances between the 2016 classification and the 2011 classification as well as annual changes in the census subdivision names, types and codes are also available.

The maps in this volume are introduced by a set of four national maps, at a scale which permits Canada to fit on a single sheet (i.e., 1:7 500 000). Map A, illustrating the country's 293 census divisions, presents a numerical list of the census divisions by province and territory. Maps B shows the location (using dots) of the census metropolitan areas and census agglomerations of Canada and present a numerical and alphabetical list of CMAs and CAs by province and territory. This map is designed to give a general idea of where CMAs and CAs are situated within a province or territory, with large dots designating CMAs and small dots designating CAs. Map C shows the Statistical Area Classification - Variant of SGC 2016. This map illustrates the spatial distribution of CSDs among CMAs, CAs and MIZs. Map D shows the census division and economic region boundaries and codes within each province and territory. This is accompanied by a legend which lists the ER names in ER code order within which are listed (numerically) their component census division codes and names.

The next set of maps, the Census divisions - Census subdivisions (CD-CSD) maps, shows the location of census divisions and census subdivisions and their SGC codes as well as the CSD names. This set begins with an index map, which shows the areas covered by each map. The index map covers all of Canada and is presented on a single sheet. It may be used as a quick reference to determine the correct map number(s) for the area(s) of interest. There are 23 CD-CSD maps for the 10 provinces and 3 territories. These maps include, where applicable, the boundaries and codes for CMAs and CAs, and on each map face, a list of the appropriate CD and CMA/CA names and codes (numerical and alphabetical order).

The maps were designed with the objective of permitting users to identify the general location, boundaries, names and codes of the geographic areas presented in Volume I of the SGC 2016. The maps are not intended to serve as detailed legal or cadastral representations of the geographic areas shown.

Technical information and data sources

The following are key technical points relating to the production of the maps:

  • The vector base map information (e.g., shorelines, rivers, and lakes) were taken from the National Geographic Database, version 2 (NGD v.2). The map series is represented in Lambert conformal conic projection. The standard parallels, central meridians and latitudes of origin are specific to each province and territory.
  • Geographic boundaries, names, types and codes were obtained from the Statistics Canada Spatial Data Infrastructure (SDI) June 2016 Geographic Frame. The reference date for all geographic areas is January 1, 2016. The naming of CSDs is a provincial/territorial responsibility. River and lake names were taken from the Canadian Geographical Names Data Base (CGNDB). Names of geographic entities having 'pan-Canadian' significance, established by the Geographical Names Board of Canada (GNBC) (i.e., names of provinces, territories, major islands and major bodies of water) are shown in both official languages.

Standard Geographical Classification (SGC) 2016 - Volume II, Reference Maps

Status

This standard was approved as a departmental standard on May 16, 2016.

2016 version of the SGC

The Standard Geographical Classification (SGC) provides a systematic classification structure that categorizes all of the geographic area of Canada.

The SGC was developed to enable the production of integrated statistics by geographic area. It provides a range of geographic units that are convenient for data collection and compilation, and useful for spatial analysis of economic and social statistics. It is intended primarily for the classification of statistical units, such as establishments or households, whose activities are normally associated with a specific location.

The classification is organized in two volumes: volume I and volume II. Volume I describes the classification and related standard geographic areas and place names. It provides names and codes for the geographical regions of Canada, provinces and territories, census divisions (counties, regional municipalities) and census subdivisions (municipalities). The names and codes for census metropolitan areas, census agglomerations, census metropolitan influenced zones, economic regions, census agricultural regions and census consolidated subdivisions are shown in the classification variants of the SGC. Volume I explains the changes between the 2016 version of the SGC and the 2011 version that impact upon the classification, such as changes in name, type or code, and indicates how the new and old codes relate to one another. Volume II contains reference maps showing boundaries, names, codes and locations of the geographic areas in the classification.

Reference maps

Volume II consists of four maps of Canada that illustrate locations of individual census divisions, census metropolitan areas, census agglomerations, census metropolitan influenced zones and economic regions. These are referred to as the National maps. Also included are 23 maps that show the boundaries of census divisions and census subdivisions. These are referred to as the Census divisions - Census subdivisions (CD-CSD) maps.

Standard Geographical Classification (SGC) 2016 - Volume I, The Classification

Status

This standard was approved as a departmental standard on May 16, 2016.

2016 version of the SGC

The standard classification version of the SGC 2016 provides standard names and codes for the geographical regions of Canada, provinces and territories, census divisions (counties, regional municipalities) and census subdivisions (municipalities).

The names and codes for census metropolitan areas, census agglomerations, economic regions, census agricultural regions and census consolidated subdivisions are shown in the variants of SGC 2016. The first use of the standard version of SGC 2016 and its variants was in the 2016 Census.

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PDF format

CSV format

Concordances and documentation on changes

Variants of the SGC 2016

Statistical Area Classification - Variant of SGC 2016

This classification variant provides standard names and codes for census metropolitan areas, census agglomerations and census metropolitan influenced zones. It shows the hierarchical relationship between these geographic areas and census subdivisions (municipalities).

Statistical Area Classification by Province and Territory - Variant of SGC 2016

This classification variant provides standard names and codes for census metropolitan areas (CMAs), census agglomerations (CAs) and census metropolitan influenced zones (MIZs) by province and territory. It shows the hierarchical relationship between these geographic areas and census subdivisions (municipalities). This classification variant also shows the hierarchical relationship between the geographical regions of Canada, provinces and territories, CMAs, CAs and MIZs.

Economic Regions - Variant of SGC 2016

This classification variant provides standard names and codes for economic regions. It shows the hierarchical relationship with their component census divisions and census subdivisions by province and territory.

Agricultural Regions - Variant of SGC 2016

This classification variant provides standard names and codes for census agricultural regions. It shows the hierarchical relationship with their component census divisions, census consolidated subdivisions and census subdivisions by province and territory.

North and South - Variant of SGC 2016

This classification variant provides a definition of the North and South of Canada. It shows the hierarchical relationship with their component census divisions (CDs) and census subdivisions (CSDs) by province and territory. This variant was originally developed for the analysis of justice statistics. It is recommended for use by other program areas at Statistics Canada should it meet their needs, but there is no requirement for it to be used outside of the Canadian Centre for Justice Statistics.

Reference Maps

Volume II consists of four maps of Canada that illustrate locations of individual census divisions, census metropolitan areas, census agglomerations, census metropolitan influenced zones and economic regions. These are referred to as the National maps. Also included are 23 maps that show the boundaries of census divisions and census subdivisions. These are referred to as the Census divisions - Census subdivisions (CD-CSD) maps.

SGC 2016 - Legend

Change code (former and revised state)
Code Type of change
1 Incorporation
2 Change of name
2C Correction of name
23 Change of name and type
3 Change of type
3C Correction of type
4 Dissolution
5A Complete annexation and part annexed of
6 Part incorporated from the former entity
7 Revision of Standard Geographical Classification (SGC) code
7C Correction of Standard Geographical Classification (SGC) code
* Denotes "part of"
** New entity from 2011, updated in its creation year
*** New entity from 2011, updated after its creation year

SGC 2016 – Legend

Change code related to the 2011 census subdivision (CSD)
Code Type of change
2 Change of name
2C Correction of name
23 Change of name and type
3 Change of type
3C Correction of type
4 Dissolution
6 Losing part (a new CSD in 2016)
7 Revision of Standard Geographical Classification (SGC) code
7C Correction of Standard Geographical Classification (SGC) code
Y Common part
* Denotes "part of"

Information about the content of the concordance tables

The changes to census subdivisions (CSDs) between the 2011 edition of the SGC and the 2016 edition are provided in concordance tables. In addition to the changes of CSD name, CSD type and revision of SGC code, the concordance table SGC 2011 – SGC 2016 presents the CSDs that have been deleted (change code 4) and the CSDs that have lost land through the creation of new CSDs (change code 6) whereas the concordance table SGC 2016 – SGC 2011 presents the newly created CSDs (change code 1) and the complete annexations of CSDs by another CSD (change code 5A).

In each concordance table, there is only one entry or CSD on the left-hand side with one or many entries (CSDs) on the right-hand side. The change code allows users to exactly know what part of the left-hand side entity has changed. Change codes 2 and 2C, 3 and 3C, 23 or 7 and 7C respectively indicate a change of CSD name, CSD type, CSD name and type or revision of SGC code. Change codes 1, 4, 5A or 6 respectively indicate a newly created CSD, a CSD deleted, a complete annexation of a CSD by another CSD, or a CSD created out of another CSD.

Contrary to the SGC 2011 – SGC 2016 and SGC 2016 – SGC 2011 concordance tables, the table of annual changes from 2011 - 2016 uses two change codes to explain the annual changes to CSD codes, names and types between 2011 and 2016. The former state of the census subdivision appears on the left-hand side while its revised state is on the right-hand side. The change codes 2, 2C, 23, 3, 3C, 7 and 7C are repeated on both sides while the others are combined to show different changes. For a dissolution (code 4) on the left-hand side, there is a creation of new CSD (code 1) or a complete annexation of a CSD by another CSD (code 5A) on the right-hand side. A CSD that has lost part of its land through the creation of a new CSD has a code 6 on the left-hand side and a code 1 for the new created CSD on the right-hand side. The symbols (** and ***) attached to SGC codes on the left-hand side are included to inform users that these SGC codes are new entities created after January 1, 2011 which were updated after their creation.

The change codes used here follow the definitions presented in the Standard Geographical Classification (SGC) 2016, introduction to the classification. The exceptions are change code 6 that only shows the creation of a new CSD from a part of another CSD and change code Y, introduced here and used in concordance tables SGC 2011 – SGC 2016 and SGC 2016 – SGC 2011. Code Y shows the remaining part of the CSD from which a part has been lost or the common part of the combination that now makes up the new CSD on account of the complete annexation of a CSD.

SGC 2016 – Legend

Change code related to the 2016 census subdivision (CSD)
Code Type of change
1 Incorporation
2 Change of name
2C Correction of name
23 Change of name and type
3 Change of type
3C Correction of type
5A Complete annexation and part annexed of
7 Revision of Standard Geographical Classification (SGC) code
7C Correction of Standard Geographical Classification (SGC) code
Y Common part
* Denotes "part of"

SGC 2016 - Abbreviations of CSD types

Abbreviations of CSD types
Abbreviations CSD type
C City / Cité
CC Chartered community
CG Community government
CN Crown colony / Colonie de la couronne
COM Community
CT Canton (municipalité de)
CU Cantons unis (municipalité de)
CV City / Ville
CY City
DM District municipality
HAM Hamlet
ID Improvement district
IGD Indian government district
IM Island municipality
IRI Indian reserve / Réserve indienne
LGD Local government district
LOT Township and royalty
M Municipality / Municipalité
MD Municipal district
Municipalité
MU Municipality
NH Northern hamlet
NL Nisga'a land
NO Unorganized / Non organisé
NV Northern village
P Parish / Paroisse (municipalité de)
PE Paroisse (municipalité de)
RCR Rural community / Communauté rurale
RDA Regional district electoral area
RGM Regional municipality
RM Rural municipality
RV Resort village
S-É Indian settlement / Établissement indien
SA Special area
SC Subdivision of county municipality / Subdivision municipalité de comté
Settlement / Établissement
SET Settlement
SG Self-government / Autonomie gouvernementale
SM Specialized municipality
SNO Subdivision of unorganized / Subdivision non organisée
SV Summer village
T Town
TC Terres réservées aux Cris
TI Terre inuite
TK Terres réservées aux Naskapis
TL Teslin land
TP Township
TV Town / Ville
V Ville
VC Village cri
VK Village naskapi
VL Village
VN Village nordique

Annual revisions to 2011 census population counts of census subdivisions affected by a change, by province and territory

Newfoundland and Labrador

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Cartwright, Labrador, T 516 504Newfoundland and Labrador footnote 1 504 504 504 504
Cook's Harbour, T 76 176Newfoundland and Labrador footnote 1 176 176 176 176
Division No. 1, Subd. U, SNO 1,489 1,501Newfoundland and Labrador footnote 1 1,501 1,501 1,501 1,501
Division No. 3, Subd. F, SNO 385 139Newfoundland and Labrador footnote 1 139 139 139 139
Division No. 3, Subd. J, SNO 388 51Newfoundland and Labrador footnote 1 51 51 51 51
Division No. 9, Subd. D, SNO 815 715Newfoundland and Labrador footnote 1 715 715 715 715
Division No. 9, Subd. H, SNO 84 179Newfoundland and Labrador footnote 1 179 179 179 179
Division No. 10, Subd. B, SNO 349 361Newfoundland and Labrador footnote 1 361 361 361 361
Fogo, T 658 Newfoundland and Labrador footnote 1
Fogo Island, T 2,395Newfoundland and Labrador footnote 1 2,395 2,395 2,395 2,395
Fogo Island Region (Part), RG 421 Newfoundland and Labrador footnote 1
Joe Batt's Arm-Barr'd Islands-Shoal Bay, T 685 Newfoundland and Labrador footnote 1
Parson's Pond, T 478 383Newfoundland and Labrador footnote 1 383 383 383 383
Ramea, T 280 526Newfoundland and Labrador footnote 1 526 526 526 526
Rose Blanche-Harbour le Cou, T 118 455Newfoundland and Labrador footnote 1 455 455 455 455
Seldom-Little Seldom, T 427 Newfoundland and Labrador footnote 1
Tilting, T 204 Newfoundland and Labrador footnote 1
Witless Bay, T 1,179 1,167Newfoundland and Labrador footnote 1 1,167 1,167 1,167 1,167
Note: … not applicable
Newfoundland and Labrador footnote 1

These 2011 Census population counts based on January 1st boundaries for the corresponding year reflect also the 2011 population counts based on boundaries in effect on July 1st of the previous year.

Return to first Newfoundland and Labrador footnote 1 referrer

Prince Edward Island

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Bedeque, COM 143 143 143 143
Bedeque and Area, COM 310 310
Central Bedeque, COM 167 167 167 167
Kensington, T 1,496 1,513 1,513 1,513 1,513 1,513
Lot 19, LOT 1,903 1,886 1,886 1,886 1,886 1,886
Note: … not applicable

Nova Scotia

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Annapolis, Subd. B, SC 3,650 3,650 3,650 3,650 3,650 4,599Nova Scotia footnote 1
Bridgetown, T 949 949 949 949 949 Nova Scotia footnote 1
Canso, T 806 806 Nova Scotia footnote 1
Cumberland, Subd. B, SC 3,580 3,580 3,580 3,580 3,580 7,448Nova Scotia footnote 1
Guysborough, MD 4,189 4,189 4,995Nova Scotia footnote 1 4,995 4,995 4,995
Halifax, RGM 390,096 390,086Nova Scotia footnote 1 390,086 390,086 390,086 390,086
Hantsport, T 1,159 1,159 1,159 1,159 1,159 Nova Scotia footnote 1
Springhill, T 3,868 3,868 3,868 3,868 3,868 Nova Scotia footnote 1
Wallace Hills 14A, IRI 10Nova Scotia footnote 1 10 10 10 10
West Hants, MD 14,165 14,165 14,165 14,165 14,165 15,324Nova Scotia footnote 1
Note: … not applicable
Nova Scotia footnote 1

These 2011 Census population counts based on January 1st boundaries for the corresponding year reflect also the 2011 population counts based on boundaries in effect on July 1st of the previous year.

Return to first Nova Scotia footnote 1 referrer

New Brunswick

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Addington, P 2,615 2,615 2,615 2,615 2,615 717New Brunswick footnote 1
Alnwick, P 5,922 5,922 5,922 5,922 3,771New Brunswick footnote 1 3,771
Atholville, VL 1,237 1,237 1,237 1,237 1,237 3,778New Brunswick footnote 1
Baker Brook, P 645 287New Brunswick footnote 1 287 287 287 287
Balmoral, P 602 602 602 602 602 260New Brunswick footnote 1
Bertrand, VL 1,137 1,137 1,137 1,137 1,142New Brunswick footnote 1 1,142
Canterbury, VL 331 336New Brunswick footnote 1 336 336 336 336
Cocagne, RCR 2,540New Brunswick footnote 1 2,540
Dalhousie, P 2,247 2,247 2,247 2,247 2,247 1,123New Brunswick footnote 1
Dundas, P 6,282 6,282 6,282 6,282 3,970New Brunswick footnote 1 3,970
Eel River Crossing, VL 1,209 1,209 1,209 1,209 1,209 2,032
Grimmer, P 1,096 1,096 New Brunswick footnote 1
Hanwell, RCR 4,740New Brunswick footnote 1 4,740
Inkerman, P 4,247 4,247 4,247 4,247 2,366New Brunswick footnote 1 2,366
Kedgwick, RCR 2,089New Brunswick footnote 1 2,089 2,089 2,089
Kedgwick, VL 993 993 New Brunswick footnote 1
Kingsclear, P 7,391 7,391 7,391 7,391 2,651New Brunswick footnote 1 2,651
Meductic, VL 270 265New Brunswick footnote 1 265 265 265 265
New Bandon, P 1,195 1,195 1,195 1,195 1,190New Brunswick footnote 1 1,190
Paquetville, P 2,700 2,504New Brunswick footnote 1 2,504 2,504 2,504 2,504
Quispamsis, TV 17,886 17,941New Brunswick footnote 1 17,941 17,941 17,941 17,941
Rothesay, TV 11,947 11,892New Brunswick footnote 1 11,892 11,892 11,892 11,892
Saint-Hilaire, P 290 490New Brunswick footnote 1 490 490 490 490
Saint-Isidore, P 1,620 1,620 1,620 1,620 1,368New Brunswick footnote 1 1,368
Saint-Léolin, VL 488 684New Brunswick footnote 1 684 684 684 684
Saumarez, P 6,920 6,920 6,920 6,920 New Brunswick footnote 1
Shippagan, P 5,032 5,004New Brunswick footnote 1 5,004 5,004 5,004 5,004
Shippagan, T 2,603 2,631New Brunswick footnote 1 2,631 2,631 2,631 2,631
St. Hilaire, VL 145 303New Brunswick footnote 1 303 303 303 303
Tracadie, RGMNew Brunswick footnote 2 16,137New Brunswick footnote 1 16,137
Tracadie-Sheila, TV 4,933 4,933 4,933 4,933 New Brunswick footnote 1
Wellington, P 3,327 3,327 3,327 3,327 3,099New Brunswick footnote 1 3,099
Note: … not applicable
New Brunswick footnote 1

These 2011 Census population counts based on January 1st boundaries for the corresponding year reflect also the 2011 population counts based on boundaries in effect on July 1st of the previous year.

Return to first New Brunswick footnote 1 referrer

New Brunswick footnote 2

Grand Tracadie-Sheila was incorporated on March 28, 2014. This CSD's name was changed to Tracadie on July 1, 2014.

Return to New Brunswick footnote 2 referrer

Quebec

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Austin, MÉ 1,880 1,546Quebec footnote 1 1,546 1,546 1,546 1,546
Beaulac-Garthby, MÉ 878 888Quebec footnote 1 888 888 888 888
Courcelles, MÉ 1,004 955Quebec footnote 1 955 955 955 955
Disraeli, PE 1,168 1,158Quebec footnote 1 1,158 1,158 1,158 1,158
Ivujivik, TI 0Quebec footnote 1 0 0 0 0
Kingsbury, VL 123 148Quebec footnote 1 148 148 148 148
Lac-Beauport, MÉ 7,281 7,327Quebec footnote 1 7,327 7,327 7,327 7,327
Laforce, MÉ 147 245Quebec footnote 1 245 245 245 245
Laverlochère, MÉ 1,022 966Quebec footnote 1 966 966 966 966
Listuguj, IRI 1,850 1,850 1,865Quebec footnote 1 1,865 1,865 1,865
Lorrainville, MÉ 1,272 1,328Quebec footnote 1 1,328 1,328 1,328 1,328
Magog, V 25,358 25,692Quebec footnote 1 25,692 25,692 25,692 25,692
Melbourne, CT 1,004 979Quebec footnote 1 979 979 979 979
Métis-sur-Mer, V 644 607Quebec footnote 1 607 607 607 607
Mont-Élie, NO 77 65Quebec footnote 1 65 65 65 65
Padoue, MÉ 411 273Quebec footnote 1 273 273 273 273
Pointe-à-la-Croix, MÉ 1,472 1,472 1,457Quebec footnote 1 1,457 1,457 1,457
Québec, V 516,622 516,576Quebec footnote 1 516,576 516,576 516,576 516,576
Sagard, NO 117 129Quebec footnote 1 129 129 129 129
Saint-Alexis, MÉ 1,367 1,367 1,367 1,367
Saint-Alexis, PE 790 790
Saint-Alexis, VL 577 577
Saint-Amable, MÉ 10,870 10,930Quebec footnote 1 10,930 10,930 10,930 10,930
Saint-Bernard, MÉ 2,131 2,021Quebec footnote 1 2,021 2,021 2,021 2,021
Saint-Boniface, MÉ 4,511 4,511 4,429 4,429 4,429 4,429
Saint-Élie-de-Caxton, MÉ 1,676 1,676 1,758 1,758 1,758 1,758
Saint-Hilaire-de-Dorset, PE 50 99Quebec footnote 1 99 99 99 99
Saint-Joachim, PE 1,458 1,471Quebec footnote 1 1,471 1,471 1,471 1,471
Saint-Louis-de-Gonzague-du-Cap-Tourmente, PE 18 5Quebec footnote 1 5 5 5 5
Saint-Michel-des-Saints, MÉ 2,201 2,226Quebec footnote 1 2,226 2,226 2,226 2,226
Saint-Octave-de-Métis, PE 345 520Quebec footnote 1 520 520 520 520
Saint-Zénon, MÉ 1,115 1,090Quebec footnote 1 1,090 1,090 1,090 1,090
Sainte-Julie, V 30,104 30,044Quebec footnote 1 30,044 30,044 30,044 30,044
Scott, MÉ 2,089 2,199Quebec footnote 1 2,199 2,199 2,199 2,199
Val-Joli, MÉ 1,501 1,538Quebec footnote 1 1,538 1,538 1,538 1,538
Windsor, V 5,367 5,330Quebec footnote 1 5,330 5,330 5,330 5,330
Winneway, S-É 317 219Quebec footnote 1 219 219 219 219
Note: … not applicable
Note: 0 true zero
Quebec footnote 1

These 2011 Census population counts based on January 1st boundaries for the corresponding year reflect also the 2011 population counts based on boundaries in effect on July 1st of the previous year.

Return to first Quebec footnote 1 referrer

Ontario

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Addington Highlands, TP 2,532 2,517Ontario footnote 1 2,517 2,517 2,517 2,517
Algonquin Highlands, TP 2,156 2,186Ontario footnote 1 2,186 2,186 2,186 2,186
Barrie, CY 135,711 136,063Ontario footnote 1 136,063 136,063 136,063 136,063
Bracebridge, T 15,409 15,414Ontario footnote 1 15,414 15,414 15,414 15,414
Brampton, CY 523,911 523,906Ontario footnote 1 523,906 523,906 523,906 523,906
Central Huron, MU 7,591 7,591 7,591 7,586 7,586 7,586
Centre Hastings, MU 4,543 4,574Ontario footnote 1 4,574 4,574 4,574 4,574
Chief's Point No. 28, IRI 0Ontario footnote 1 0 0 0 0
Goderich, T 7,521 7,521 7,521 7,526 7,526 7,526
Gravenhurst, T 11,640 11,635Ontario footnote 1 11,635 11,635 11,635 11,635
Halton Hills, T 59,008 59,013Ontario footnote 1 59,013 59,013 59,013 59,013
Innisfil, T 33,079 32,727Ontario footnote 1 32,727 32,727 32,727 32,727
Kawartha Lakes, CY 73,214 73,219Ontario footnote 1 73,219 73,219 73,219 73,219
Lake of Bays, TP 3,284 3,254Ontario footnote 1 3,254 3,254 3,254 3,254
Long Sault 12, IRI 39 5Ontario footnote 1 5 5 5 5
Madoc, TP 2,197 2,166Ontario footnote 1 2,166 2,166 2,166 2,166
Morley, TP 474 508Ontario footnote 1 508 508 508 508
North Frontenac, TP 1,842 1,857Ontario footnote 1 1,857 1,857 1,857 1,857
Otonabee-South Monaghan, TP 6,660 6,660 6,581 6,581 6,581 6,581
Perth East, TP 12,028 12,028 12,028 12,028 12,011 12,011
Peterborough, CY 78,698 78,698 78,777 78,777 78,777 78,777
Stratford, CY 30,886 30,886 30,886 30,886 30,903 30,903
Trent Lakes, MU 5,105 5,100Ontario footnote 1 5,100 5,100 5,100 5,100
Note: … not applicable
Note: 0 true zero
Ontario footnote 1

These 2011 Census population counts based on January 1st boundaries for the corresponding year reflect also the 2011 population counts based on boundaries in effect on July 1st of the previous year.

Return to first Ontario footnote 1 referrer

Manitoba

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Albert, RM 323 323 323 323
Archie, RM 325 325 325 325
Arthur, RM 413 413 413 413
Benito, VL 377 377 377 377
Bifrost, RM 2,976 2,976 2,976 2,976
Bifrost-Riverton, MU 3,514 3,514
Binscarth, VL 425 425 425 425
Birtle, RM 632 632 632 632
Birtle, T 664 664 664 664
Black Sturgeon, IRI 0Manitoba footnote 1 0 0
Blanshard, RM 526 526 526 526
Boissevain, T 1,572 1,572 1,572 1,572
Boissevain-Morton, MU 2,270 2,270
Bowsman, VL 298 298 298 298
Brenda, RM 469 469 469 469
Brenda-Waskada, MU 652 652
Brochet 197, IRI 547 406Manitoba footnote 1 406 406 406 406
Cameron, RM 420 420 420 420
Cartwright, VL 308 308 308 308
Cartwright-Roblin, MU 1,240 1,240
Clanwilliam, RM 414 414 414 414
Clanwilliam-Erickson, MU 901 901
Cross Lake 19A, IRI 1,937 1,889Manitoba footnote 1 1,889 1,889 1,889 1,889
Cross Lake 19E, IRI 696 682Manitoba footnote 1 682 682 682 682
Crystal City, VL 384 384 384 384
Daly, RM 830 830 830 830
Deloraine, T 977 977 977 977
Deloraine-Winchester, MU 1,485 1,485
Division No. 22, Unorganized, NO 2,205 2,365Manitoba footnote 1 2,365 2,365 2,365 2,365
Division No. 23, Unorganized, NO 5 182Manitoba footnote 1 182 182 182 182
Edward, RM 574 574 574 574
Elkhorn, VL 471 471 471 471
Ellice, RM 392 392 392 392
Ellice-Archie, RM 971 971
Emerson, T 671 671 671 671
Emerson-Franklin, MU 2,439 2,439
Erickson, T 487 487 487 487
Eriksdale, RM 846 846 846 846
Ethelbert, MU 629 629
Ethelbert, RM 354 354 354 354
Ethelbert, VL 275 275 275 275
Franklin, RM 1,768 1,768 1,768 1,768
Gilbert Plains, MU 1,623 1,623
Gilbert Plains, RM 812 812 812 812
Gilbert Plains, T 811 811 811 811
Gillam, S-É 72 0Manitoba footnote 1 0 0 0 0
Gillam, T 1,281 1,317Manitoba footnote 1 1,317 1,317 1,317 1,317
Gladstone, T 879 879 879 879
Glenboro, VL 645 645 645 645
Glenboro-South Cypress, MU 1,483 1,483
Glenella, RM 522 522 522 522
Glenella-Lansdowne, MU 1,245 1,245
Glenwood, RM 602 602 602 602
Grandview, MU 1,508 1,508
Grandview, RM 649 649 649 649
Grandview, T 859 859 859 859
Grassland, MU 1,480 1,480
Gretna, T 556 556 556 556
Grey, RM 2,025 2,025 2,025 2,025 2,615 2,615
Hamiota, MU 1,288 1,288
Hamiota, RM 420 420 420 420
Hamiota, T 868 868 868 868
Harrison, RM 864 864 864 864
Harrison Park, MU 1,799 1,799
Hartney, T 415 415 415 415
Hillsburg, RM 426 426 426 426
Hillsburg-Roblin-Shell River, MU 3,284 3,284
Ilford, S-É 141 43Manitoba footnote 1 43 43 43 43
Lac du Bonnet, RM 2,671 2,930Manitoba footnote 1 2,930 2,930 2,930 2,930
Lac du Bonnet, T 1,328 1,069Manitoba footnote 1 1,069 1,069 1,069 1,069
Lakeshore, RM 1,401 1,401
Lakeview, RM 311 311 311 311
Langford, RM 767 767 767 767
Lansdowne, RM 723 723 723 723
Lawrence, RM 456 456 456 456
Lorne, MU 3,006 3,006
Lorne, RM 1,884 1,884 1,884 1,884
Louise, MU 1,932 1,932
Louise, RM 913 913 913 913
MacGregor, T 963 963 963 963
Manitou, T 808 808 808 808
McCreary, MU 948 948
McCreary, RM 476 476 476 476
McCreary, VL 472 472 472 472
Miniota, RM 871 871 871 871
Minitonas, RM 996 996 996 996
Minitonas, T 522 522 522 522
Minitonas-Bowsman, MU 1,816 1,816
Minto, RM 644 644 644 644
Minto-Odanah, MU 1,177 1,177
Mooseocoot, IRI 0Manitoba footnote 1 0 0 0 0
Morton, RM 698 698 698 698
Mossey River, RM 539 539 539 539 1,186 1,186
Norfolk-Treherne, MU 1,741 1,741
North Cypress, RM 1,860 1,860 1,860 1,860
North Cypress-Langford, MU 2,627 2,627
North Norfolk, MU 3,762 3,762
North Norfolk, RM 2,799 2,799 2,799 2,799
Notre Dame de Lourdes, VL 683 683 683 683
Oak Lake, T 383 383 383 383
Oakland, RM 1,056 1,056 1,056 1,056
Oakland-Wawanesa, MU 1,618 1,618
Oakview, RM 1,513 1,513
Ochre River, RM 945 945 945 945
Odanah, RM 533 533 533 533
Park (South), RM 935 935 935 935
Pembina, MU 2,369 2,369
Pembina, RM 1,561 1,561 1,561 1,561
Pilot Mound, T 635 635 635 635
Plum Coulee, T 843 843 843 843
Prairie Lakes, RM 1,423 1,423
Prairie View, MU 2,167 2,167
Rapid City, T 417 417 417 417
Rhineland, MU 5,772 5,772
Rhineland, RM 4,373 4,373 4,373 4,373
Riding Mountain West, RM 1,390 1,390
Riverdale, MU 2,019 2,019
Rivers, T 1,189 1,189 1,189 1,189
Riverside, RM 780 780 780 780
Riverton, VL 538 538 538 538
Roblin, RM 932 932 932 932
Roblin, T 1,774 1,774 1,774 1,774
Rossburn, MU 1,046 1,046
Rossburn, RM 494 494 494 494
Rossburn, T 552 552 552 552
Russell, RM 459 459 459 459
Russell, T 1,669 1,669 1,669 1,669
Russell-Binscarth, MU 2,553 2,553
Saskatchewan, RM 570 570 570 570
Shell River, RM 1,084 1,084 1,084 1,084
Shellmouth-Boulton, RM 930 930 930 930
Shoal Lake, MU 1,229 1,229 1,229 1,229
Sifton, RM 789 789 789 789 1,172 1,172
Siglunes, RM 1,360 1,360 1,360 1,360
Silver Creek, RM 460 460 460 460
Somerset, VL 439 439 439 439
Souris, T 1,837 1,837 1,837 1,837
Souris-Glenwood, MU 2,439 2,439
South Cypress, RM 838 838 838 838
South Norfolk, RM 1,125 1,125 1,125 1,125
St. Claude, VL 590 590 590 590
Ste. Rose, MU 1,794 1,794
Ste. Rose, RM 771 771 771 771
Ste. Rose du Lac, T 1,023 1,023 1,023 1,023
St-Lazare, VL 254 254 254 254
Strathclair, RM 744 744 744 744
Strathcona, RM 643 643 643 643
Swan River, RM 2,546 2,546 2,546 2,546
Swan Valley West, MU 2,923 2,923
Treherne, T 616 616 616 616
Two Borders, MU 1,310 1,310
Wallace, RM 1,526 1,526 1,526 1,526
Wallace-Woodworth, RM 2,857 2,857
Waskada, VL 183 183 183 183
Wawanesa, VL 562 562 562 562
West Interlake, MU 2,206 2,206
Westbourne, RM 1,878 1,878 1,878 1,878
WestLake-Gladstone, MU 3,068 3,068
Whitewater, RM 645 645 645 645
Winchester, RM 508 508 508 508
Winnipegosis, VL 647 647 647 647
Woodworth, RM 860 860 860 860
Yellowhead, RM 1,973 1,973
Note: … not applicable
Note: 0 true zero
Manitoba footnote 1

These 2011 Census population counts based on January 1st boundaries for the corresponding year reflect also the 2011 population counts based on boundaries in effect on July 1st of the previous year.

Return to first province Manitoba 1 referrer

Saskatchewan

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Antler, VL 41 41 41
Antler No. 61, RM 536 536 536 577 577 577
Atwater, VL 0 31Saskatchewan footnote 1 31 31 31 31
Aylesbury, VL 10 33Saskatchewan footnote 1 33 33 33 33
Balgonie, T 1,625 1,625 1,625 1,625 1,625 1,630Saskatchewan footnote 1
Bethune, VL 400 400 405 405 405 405
Blucher No. 343, RM 1,787 1,787 1,787 1,787 1,876 1,876
Carlyle, T 1,441 1,441 1,441 1,446Saskatchewan footnote 1 1,446 1,446
Christopher Lake, VL 266 281Saskatchewan footnote 1 281 281 281 281
Corman Park No. 344, RM 8,354 8,354 8,354 8,354 8,334 8,277
Craik No. 222, RM 299 276Saskatchewan footnote 1 276 276 276 276
Cumberland House, NV 772 796Saskatchewan footnote 1 796 796 796 796
Disley, VL 111 75Saskatchewan footnote 1 75 75 75 75
Division No. 18, Unorganized, NO 1,641 1,396Saskatchewan footnote 1 1,396 1,396 1,396 1,396
Duck Lake No. 463, RM 867 846Saskatchewan footnote 1 846 846 846 846
Dufferin No. 190, RM 512 512 507 507 491Saskatchewan footnote 1 491
Edenwold No. 158, RM 4,167 4,137 4,142 4,142 4,142 4,132Saskatchewan footnote 1
Elstow, VL 89 89 89 89
Fertile Belt No. 183, RM 816 785Saskatchewan footnote 1 785 785 785 785
Fond du Lac 229, IRI 0 0 0 0 0 Saskatchewan footnote 1
Fond du Lac 231, IRI 0 0 0 0 0 Saskatchewan footnote 1
Fond du Lac 232, IRI 0 0 0 0 0 Saskatchewan footnote 1
Gladmar, VL 58 58 58
Glenside, VL 59 84Saskatchewan footnote 1 84 84 84 84
Grandview No. 349, RM 340 340 340 350 350 350
Grayson No. 184, RM 495 478Saskatchewan footnote 1 478 478 478 478
Keeler, VL 0 15Saskatchewan footnote 1 15 15 15 15
Kelvington No. 366, RM 499 499 494Saskatchewan footnote 1 494 494 494
Lakeland No. 521, RM 884 869Saskatchewan footnote 1 869 869 869 869
Lebret, VL 218 228Saskatchewan footnote 1 228 199 199 199
Lumsden No. 189, RM 1,733 1,769Saskatchewan footnote 1 1,769 1,769 1,769 1,769
Marquis No. 191, RM 252 237Saskatchewan footnote 1 237 237 212 212
Meadow Lake No. 588, RM 2,677 2,677 2,667 2,667 2,667 2,667
Meadow Lake, CY 5,045 5,045 5,055 5,055 5,055 5,055
Melville Beach, RV 10 27Saskatchewan footnote 1 27 27 27 27
Miry Creek No. 229, RM 374 374 374 384 384 384
Moose Mountain No. 63, RM 480 480 480 475Saskatchewan footnote 1 475 475
North Grove, RV 49 49 49 49 65Saskatchewan footnote 1 65
Piapot 75, IRI 464 494 494 494 494 494
Pilot Butte, T 1,848 1,848 1,843 1,843 1,843 1,843
Ponass Lake No. 367, RM 527 527 502Saskatchewan footnote 1 502 502 502
Potato River 156A, IRI 0 0 0 0 0 Saskatchewan footnote 1
Prince Albert No. 461, RM 3,580 3,601Saskatchewan footnote 1 3,601 3,601 3,601 3,601
Rabbit Lake, VL 127 127 127 127 127
Regina, CY 193,100 193,100 193,100 193,150 193,150 193,150
Round Hill No. 467, RM 319 319 319 319 319 446
Rudy No. 284, RM 496 471Saskatchewan footnote 1 471 471 471 471
Ruthilda, VL 10 10 10
Sandy Bay, NV 1,233 824Saskatchewan footnote 1 824 824 824 824
Saskatoon, CY 222,189 222,189 222,189 222,189 222,189 222,246
Shackleton, VL 10 10 10
Shell Lake, VL 99 132Saskatchewan footnote 1 132 132 132 132
Sherwood No. 159, RM 929 929 929 879 879 879
South Lake, RV 48 48 48 48 73 73
Southend No. 200A, IRI 42 42 42 42 42
Spiritwood No. 496, RM 1,382 1,349Saskatchewan footnote 1 1,349 1,349 1,349 1,349
Surprise Valley No. 9, RM 193 193 193 251 251 251
Swift Current No. 137, RM 2,032 1,981 1,981 1,981 1,981 1,981
Swift Current, CY 15,503 15,554 15,554 15,554 15,554 15,554
Turnor Lake, NH 0 179Saskatchewan footnote 1 179 179 179 179
Val Marie No. 17, RM 405 389Saskatchewan footnote 1 389 389 389 389
Val Marie, VL 98 114Saskatchewan footnote 1 114 114 114 114
Wapaskokimaw 202, IRI 409Saskatchewan footnote 1 409 409 409 409
Wa-Pii Moos-Toosis (White Calf) 83A, IRI 97 87Saskatchewan footnote 1 87 116 116 116
Warman, CY 7,084 7,084 7,084 7,084 7,104 7,104
White City, T 1,894 1,894 1,894 1,894 1,894 1,899
Yellow Quill 90-9, IRI 30Saskatchewan footnote 1 30 30 30
Note: … not applicable
Note: 0 true zero
Saskatchewan footnote 1

These 2011 Census population counts based on January 1st boundaries for the corresponding year reflect also the 2011 population counts based on boundaries in effect on July 1st of the previous year, with the following exceptions:

  • on July 1st, 2011: Division No. 18, Unorganized, NO (1,438)
  • on July 1st, 2015: Edenwold No. 358, RM (4,137)

Return to first Saskatchewan footnote 1 referrer

Alberta

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Airdrie, CY 42,564 43,271 43,271 43,271 43,271 43,271
Brazeau County, MD 7,201 7,132 7,132 7,132 7,132 7,132
Camrose County, MD 7,721 7,721 8,004 8,004 8,004 8,004
Charles Lake 225, IRI 0 0 0 0 0 Alberta footnote 1
Coalhurst, T 1,963 1,963 1,963 1,963 1,963 1,978Alberta footnote 1
Devon, T 6,510 6,510 6,510 6,510 6,515 6,515
Drayton Valley, T 7,049 7,118 7,118 7,118 7,118 7,118
Flagstaff County, MD 3,244 3,244 3,244 3,244 3,244 3,591
Foothills No. 31, MD 21,258 21,248 21,248 21,248 21,248 21,248
Fort McKay 174, IRI 0 0 0 0 0 Alberta footnote 1
Galahad, VL 119 119 119 119 119
Grande Prairie, CY 55,032 55,032 55,032 55,032 55,032 55,655
Grande Prairie County No. 1, MD 20,347 20,347 20,347 20,347 20,347 19,724
High River, T 12,920 12,930 12,930 12,930 12,930 12,930
Improvement District No. 349, ID 0 0 0 0 0
Kapawe'no First Nation (Grouard 230), IRI 0 0 0 0 0 Alberta footnote 1
Kapawe'no First Nation (Halcro 150C), IRI 0 0 0 0 0 Alberta footnote 1
Lacombe County, MD 10,312 10,307Alberta footnote 1 10,307 10,307 10,307 10,307
Leduc, CY 24,279 24,279 24,279 24,304 24,304 24,304
Leduc County, MD 13,541 13,524Alberta footnote 1 13,524 13,499 13,494 13,494
Lethbridge County, MD 10,061 10,061 10,061 10,061 10,061 10,046Alberta footnote 1
Minburn, VL 105 105 105 105 105 Alberta footnote 1
Minburn County No. 27, MD 3,278 3,278 3,278 3,278 3,278 3,383Alberta footnote 1
Namur Lake 174B, IRI 0 0 0 0 0 Alberta footnote 1
Namur River 174A, IRI 0 0 0 0 0 Alberta footnote 1
New Norway, VL 283 283
Newell County, MD 6,786 6,786 6,786 7,138 7,138 7,138
Peace No. 135, MD 1,344 1,359Alberta footnote 1 1,359 1,359 1,359 1,359
Peace River, T 6,744 6,729Alberta footnote 1 6,729 6,729 6,729 6,729
Ponoka, T 6,773 6,778Alberta footnote 1 6,778 6,778 6,778 6,778
Red Deer County, MD 18,351 18,351 18,351 18,351 18,351 18,316
Rochon Sands, SV 84 70Alberta footnote 1 70 70 70 70
Rocky View County, MD 36,461 35,754 35,754 35,754 35,754 35,754
St. Paul, T 5,400 5,405Alberta footnote 1 5,405 5,405 5,405 5,405
St. Paul County No. 19, MD 5,831 5,826Alberta footnote 1 5,826 5,826 5,826 5,826
Stettler County No. 6, MD 5,089 5,103Alberta footnote 1 5,103 5,103 5,103 5,103
Strome, VL 228 228 228 228 228
Sylvan Lake, T 12,327 12,327 12,327 12,327 12,327 12,362
Thorsby, VL 797 814Alberta footnote 1 814 814 814 814
Tilley, VL 352 352 352
Note: … not applicable
Note: 0 true zero
Alberta footnote 1

These 2011 Census population counts based on January 1st boundaries for the corresponding year reflect also the 2011 population counts based on boundaries in effect on July 1st of the previous year.

Return to first Alberta footnote 1 referrer

British Columbia

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Alert Bay, VL 445 445 445 435 435 435
Alexis Creek 6, IRI 0 0 0 0 0 British Columbia footnote 1
Alexis Creek 17, IRI 0 0 0 0 0 British Columbia footnote 1
Alexis Creek 24, IRI 0 0 0 0 0 British Columbia footnote 1
Alexis Creek 25, IRI 0 0 0 0 0 British Columbia footnote 1
Armstrong, CY 4,815 4,830British Columbia footnote 1 4,830 4,830 4,830 4,830
Barnston Island 3, IRI 0 47British Columbia footnote 1 47 47 47 47
Boothroyd 13, IRI 5 5 5
Central Kootenay D, RDA 1,413 1,413 1,413 1,413 1,413 1,408British Columbia footnote 1
Comox Valley A, RDA 6,899 6,899 6,899 6,735 6,735 6,735
Comox Valley B (Lazo North), RDA 6,939 7,000British Columbia footnote 1 7,000 6,958British Columbia footnote 1 6,958 6,958
Comox Valley C (Puntledge - Black Creek), RDA 8,325 8,353British Columbia footnote 1 8,353 8,353 8,353 8,353
Coquitlam, CY 126,456 126,804British Columbia footnote 1 126,804 126,804 126,804 126,804
Courtenay, CY 24,099 24,010British Columbia footnote 1 24,010 24,216British Columbia footnote 1 24,216 24,216
Five Mile Point 3, IRI 49 64British Columbia footnote 1 64 64 64 64
Fraser Valley A, RDA 442 442 442 437 437 437
Fraser Valley E, RDA 3,358 3,358 3,358 3,358 1,589 1,589
Fraser Valley H, RDA 1,769 1,769
Fruitvale, VL 2,016 2,011British Columbia footnote 1 2,011 2,011 2,011 2,011
Greater Vancouver A, RDA 13,035 12,988British Columbia footnote 1 12,988 12,988 12,988 12,988
Iskut 6, IRI 207 315 315 315 315 315
Juan de Fuca (Part 1), RDABritish Columbia footnote 2 4,173 4,138British Columbia footnote 1 4,138 4,138 4,138 4,138
Juan de Fuca (Part 2), RDABritish Columbia footnote 3 178 213British Columbia footnote 1 213 213 213 213
Kaslo, VL 1,026 1,026 1,026 1,026 1,026 1,031British Columbia footnote 1
Kitimat-Stikine D, RDA 248 140 140 140 140 140
Klahkowit 5, IRI 0 0 0 0 0 British Columbia footnote 1
Kluachon Lake 1, IRI 0 0 0 0 0 British Columbia footnote 1
Kootenay Boundary A, RDA 1,845 1,850British Columbia footnote 1 1,850 1,850 1,850 1,850
Lillooet, DM 2,322 2,321British Columbia footnote 1 2,321 2,321 2,321 2,321
Neskonlith, IRI 237 237 237 237 British Columbia footnote 1 237
Neskonlith 1, IRI 90British Columbia footnote 1
Neskonlith 2, IRI 147British Columbia footnote 1
Nimpkish 2, IRI 10 10 10
North Okanagan B, RDA 3,046 3,046 3,046 3,046 3,041British Columbia footnote 1 3,041
North Okanagan C, RDA 3,872 3,862 3,862 3,862 3,847British Columbia footnote 1 3,847
Pemberton, VL 2,369 2,434British Columbia footnote 1 2,434 2,434 2,434 2,434
Port Coquitlam, CY 56,342 55,958British Columbia footnote 1 55,958 55,958 55,958 55,958
Port Moody, CY 32,975 33,011British Columbia footnote 1 33,011 33,011 33,011 33,011
Seymour Meadows 19, IRI 0 0 0 0 0 British Columbia footnote 1
Spallumcheen, DM 5,055 5,040British Columbia footnote 1 5,040 5,040 5,040 5,040
Squamish-Lillooet B, RDA 359 362British Columbia footnote 1 362 362 362 362
Squamish-Lillooet C, RDA 1,804 1,739British Columbia footnote 1 1,739 1,739 1,739 1,739
Tatelkus Lake 28, IRI 0 0 0 0 0 British Columbia footnote 1
Thompson-Nicola E (Bonaparte Plateau), RDA 1,074 1,072British Columbia footnote 1 1,072 1,072 1,072 1,072
Toby's Meadow 4, IRI 0 0 0 0 0 British Columbia footnote 1
Tsinstikeptum 9, IRI 5,882 5,872British Columbia footnote 1 5,872 5,872 5,872 5,872
Unnamed 10, IRI 15 0British Columbia footnote 1 0 0 0 0
Vernon, CY 38,150 38,160 38,160 38,160 38,180British Columbia footnote 1 38,180
West Kelowna, DM 30,892 30,902British Columbia footnote 1 30,902 30,902 30,902 30,902
Note: … not applicable
Note: 0 true zero
British Columbia footnote 1

These 2011 Census population counts based on January 1st boundaries for the corresponding year reflect also the 2011 population counts based on boundaries in effect on July 1st of the previous year, with the following exceptions:

  • on July 1st, 2013: Courtenay, CY (24,052)

Return to first British Columbia footnote 1 referrer

British Columbia footnote 2

This electoral area was incorporated as a census subdivision named Capital H (Part 1) on January 1, 2001. The census subdivision name has been changed to Juan de Fuca (Part 1) in the Standard Geographical Classification 2016.

Return to first British Columbia footnote 2 referrer

British Columbia footnote 3

This electoral area was incorporated as a census subdivision named Capital H (Part 2) on January 1, 2001. The census subdivision name has been changed to Juan de Fuca (Part 2) in the Standard Geographical Classification 2016.

Return to British Columbia footnote 3 referrer

Yukon

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Two and One-Half Mile Village, S-É 0 Yukon footnote 1
Two Mile and Two and One-Half Mile Village, S-É 203Yukon footnote 1 203 203 203 203
Two Mile Village, S-É 10 Yukon footnote 1
Yukon, Unorganized, NO 1,688 1,495Yukon footnote 1 1,495 1,495 1,495 1,495
Note: … not applicable
Note: 0 true zero
Yukon footnote 1

These 2011 Census population counts based on January 1st boundaries for the corresponding year reflect also the 2011 population counts based on boundaries in effect on July 1st of the previous year.

Return to first Yukon footnote 1 referrer

Northwest Territories

2011 Population counts based on boundaries on January 1st
Census subdivision 2011 2012 2013 2014 2015 2016
Region 4, Unorganized, NO 10 20Northwest Territories footnote 1 20 20 20 20
Region 5, Unorganized, NO 347 56Northwest Territories footnote 1 56 56 56 56
Region 6, Unorganized, NO 0 281Northwest Territories footnote 1 281 281 281 281
Note: 0 true zero
Northwest Territories footnote 1

These 2011 Census population counts based on January 1st boundaries for the corresponding year reflect also the 2011 population counts based on boundaries in effect on July 1st of the previous year.

Return to first Northwest Territories footnote 1 referrer

Nunavut

No change.