National Travel Survey: C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination – Q1 2021

National Travel Survey: C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination – Q1 2021
Table summary
This table displays the results of C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination. The information is grouped by Duration of trip (appearing as row headers), Main Trip Purpose, Country or Region of Trip Destination (Total, Canada, United States, Overseas) calculated using Person-Trips in Thousands (× 1,000) and C.V. as a units of measure (appearing as column headers).
Duration of Trip Main Trip Purpose Country or Region of Trip Destination
Total Canada United States Overseas
Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V.
Total Duration Total Main Trip Purpose 27,144 A 26,718 A 219 E 208 B
Holiday, leisure or recreation 9,612 A 9,450 A 83 E 80 D
Visit friends or relatives 8,048 B 7,980 B 15 E 53 E
Personal conference, convention or trade show 167 D 164 D 0 E 2 E
Shopping, non-routine 1,752 B 1,752 B ..   ..  
Other personal reasons 4,341 B 4,252 B 24 E 64 E
Business conference, convention or trade show 20 E 15 E 2 E 3 E
Other business 3,205 B 3,105 B 94 E 6 E
Same-Day Total Main Trip Purpose 20,369 A 20,253 A 117 E ..  
Holiday, leisure or recreation 6,315 A 6,263 A 51 E ..  
Visit friends or relatives 5,795 B 5,793 B 2 E ..  
Personal conference, convention or trade show 156 D 156 D ..   ..  
Shopping, non-routine 1,695 B 1,695 B ..   ..  
Other personal reasons 3,664 B 3,652 B 12 E ..  
Business conference, convention or trade show 6 E 6 E ..   ..  
Other business 2,738 B 2,687 B 51 E ..  
Overnight Total Main Trip Purpose 6,775 A 6,465 A 102 C 208 B
Holiday, leisure or recreation 3,298 B 3,186 B 32 D 80 D
Visit friends or relatives 2,254 B 2,188 B 13 E 53 E
Personal conference, convention or trade show 10 E 8 E 0 E 2 E
Shopping, non-routine 57 D 57 D ..   ..  
Other personal reasons 677 B 601 B 12 E 64 E
Business conference, convention or trade show 13 E 9 E 2 E 3 E
Other business 467 C 418 C 43 E 6 E
..
data not available

Estimates contained in this table have been assigned a letter to indicate their coefficient of variation (c.v.) (expressed as a percentage). The letter grades represent the following coefficients of variation:

A
c.v. between or equal to 0.00% and 5.00% and means Excellent.
B
c.v. between or equal to 5.01% and 15.00% and means Very good.
C
c.v. between or equal to 15.01% and 25.00% and means Good.
D
c.v. between or equal to 25.01% and 35.00% and means Acceptable.
E
c.v. greater than 35.00% and means Use with caution.

National Travel Survey: Response Rate at the estimation stage – Q1 2021

National Travel Survey Q1 2021: Response Rate at the estimation stage
Table summary
This table displays the results of Response Rate at the estimation stage. The information is grouped by Province of residence (appearing as row headers), Unweighted and Weighted (appearing as column headers), calculated using percentage unit of measure (appearing as column headers).
Province of residence Unweighted Weighted
Percentage
Newfoundland and Labrador 10.7 9.8
Prince Edward Island 7.4 7.3
Nova Scotia 22.2 20.1
New Brunswick 19.7 17.6
Quebec 28.5 25.0
Ontario 26.8 24.6
Manitoba 19.2 17.2
Saskatchewan 15.6 14.4
Alberta 22.8 21.6
British Columbia 28.3 26.4
Canada 21.3 23.5

Preliminary Estimate for 2021 and Intentions for 2022

Integrated Business Statistics Program (IBSP)

This guide is designed to assist you as you complete the Annual Exploration, Development and Capital Expenditures Survey Petroleum and Natural Gas Industry Preliminary Estimate for 2021 and Intentions for 2022.

If you need more information, please call the Statistics Canada Help Line at the number below.

Help Line: 1-833-977-8287 (1-833-97STATS)

Table of contents

Reporting period information
Definitions

Reporting period information

For the purpose of this survey, please report information for your 12 month fiscal period for which the final day occurs on or between April 1, 2021 – March 31, 2022.

  • May 1, 2020 – April 30, 2021
  • June 1, 2020 – May 31, 2021
  • July 1, 2020 – June 30, 2021
  • August 1, 2020 – July 31, 2021
  • September 1, 2020 – August 31, 2021
  • October 1, 2020 – September 30, 2021
  • November 1, 2020 – October 31, 2021
  • December 1, 2020 – November 30, 2021
  • January 1, 2021 – December 31, 2021
  • February 1, 2021 – January 31, 2022
  • March 1, 2021 – February 28, 2022
  • April 1, 2021 – March 31, 2022

Here are other examples of fiscal periods that fall within the required dates:

  • September 18, 2020 to September 15, 2021 (e.g., floating year-end)
  • June 1, 2021 to December 31, 2021 (e.g., a newly opened business)

Definitions

  • When there are partnerships and joint venture activities or projects, report the expenditures reflecting this corporation's net interest in such projects or ventures.
  • Report all dollar amounts in thousands of Canadian dollars ('000).
  • Do not include sales tax. Percentages should be rounded to whole numbers.
  • When precise figures are not available, please provide your best estimates.

If there are no capital expenditures, please enter '0'.

What are Capital Expenditures?

Capital Expenditures are the gross expenditures on fixed assets for use in the operations of your organization or for lease or rent to others. Gross expenditures are expenditures before deducting proceeds from disposals, and credits (capital grants, donations, government assistance and investment tax credits).

Include:

  • Cost of all new buildings, engineering, machinery and equipment which normally have a life of more than one year and are charged to fixed asset accounts
  • Modifications, acquisitions and major renovations
  • Capital costs such as feasibility studies, architectural, legal, installation and engineering fees
  • Subsidies received and used for capital expenditures
  • Capitalized interest charges on loans with which capital projects are financed
  • Work done by own labour force
  • Additions to capital work in progress.

Exclude:

  • transfers from capital work in progress (construction-in-progress) to fixed assets accounts
  • assets associated with the acquisition of companies property developed for sale and machinery or equipment acquired for sale (inventory).

1. Oil and gas rights acquisition and retention costs (exclude inter-company sales or transfers):

Include acquisition costs and fees for oil and gas rights (include bonuses, legal fees and filing fees), and oil and gas retention costs

2. Exploration and evaluation, capitalized or expensed (e.g., seismic, exploration drilling):

These expenditures include geological, geophysical and seismic expenses, exploration drilling, and other costs incurred during the reporting period in order to determine whether oil or gas reserves exist and can be exploited commercially. Report gross expenditures, before deducting any incentive grants, incurred for oil and gas activities on a contracted basis and/or by your own employees. Exclude the cost of land acquired from other oil and gas companies.

3. Building construction (e.g., process building, office building, camp, storage building, and maintenance garage):

Include capital expenditures on buildings such as office buildings, camps, warehouses, maintenance garages, workshops, and laboratories. Fixtures, facilities and equipment that are integral parts of the building are included.

4. Other construction assets (e.g., development drilling and completions, processing facilities, natural gas plants, upgraders):

Include all infrastructure, other than buildings, such as the cost of well pads, extraction and processing infrastructure and plants, upgrading units, transportation infrastructure, water and sewage infrastructure, tailings, pipelines and wellhead production facilities (pumpjacks, separators, etc). Include all preconstruction planning and design costs such as development drilling, regulatory approvals, environmental assessments, engineering and consulting fees and any materials supplied to construction contractors for installation, as well as site clearance and preparation. Equipment which is installed as an integral or built-in feature of a fixed structure (e.g. casings, tanks, steam generators, pumps, electrical apparatus, separators, flow lines, etc.) should be reported with the construction asset; however, when the equipment is replaced within an existing structure, the replacement cost should be reported in machinery and equipment (sustaining capital).

5. Machinery and equipment purchases (e.g., trucks, shovels, computers, etc.):

Include transportation equipment for people and materials, computers, software, communication equipment, and processing equipment not included in the above categories.

Research and Development

Research and experimental development (R&D) comprise creative and systematic work undertaken in order to increase the stock of knowledge – including knowledge of humankind, culture and society – and to devise new applications of available knowledge.

For an activity to be an R&D activity, it must satisfy five core criteria:

  1. To be aimed at new findings (novel);
  2. To be based on original, not obvious, concepts and hypothesis (creative);
  3. To be uncertain about the final outcome (uncertainty);
  4. To be planned and budgeted (systematic);
  5. To lead to results to could be possibly reproduced (transferable/ or reproducible).

The term R&D covers three types of activity: basic research, applied research and experimental development. Basic research is experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundations of phenomena and observable facts, without any particular application or use in view. Applied research is original investigation undertaken in order to acquire new knowledge. It is, however, directed primarily towards a specific, practical aim or objective. Experimental development is systematic work, drawing on knowledge gained from research and practical experience and producing additional knowledge, which is directed to producing new products or processes or to improving existing products or processes.

Integrated Business Statistics Program (IBSP)

This guide is designed to assist you as you complete the Annual Capital Expenditures Survey

Preliminary Estimate for 2021 and Intentions for 2022. If you need more information, please call the Statistics Canada Help Line at the number below.

Help Line: 1-833-977-8287 (1-833-97STATS)

Table of contents

Reporting period information

For the purpose of this survey, please report information for your 12 month fiscal period for which the Final day occurs on or between April 1, 2021 – March 31, 2022.

  • May 1, 2020 – April 30, 2021
  • June 1, 2020 – May 31, 2021
  • July 1, 2020 – June 30, 2021
  • August 1, 2020 – July 31, 2021
  • September 1, 2020 – August 31, 2021
  • October 1, 2020 – September 30, 2021
  • November 1, 2020 – October 31, 2021
  • December 1, 2020 – November 30, 2021
  • January 1, 2021 – December 31, 2021
  • February 1, 2021 – January 31, 2022
  • March 1, 2021 – February 28, 2022
  • April 1, 2021 – March 31, 2022

Here are other examples of fiscal periods that fall within the required dates:

  • September 18, 2020 to September 15, 2021 (e.g., floating year-end)
  • June 1, 2021 to December 31, 2021 (e.g., a newly opened business)

Dollar amounts

  • all dollar amounts reported should be rounded to thousands of Canadian dollars (e.g., $6,555,444.00 should be rounded to $6,555);
  • exclude sales tax;
  • your best estimates are acceptable when precise figures are not available;
  • if there are no capital expenditures, please enter '0'.

Definitions

What are Capital Expenditures?

Capital Expenditures are the gross expenditures on fixed assets for use in the operations of your organization or for lease or rent to others. Gross expenditures are expenditures before deducting proceeds from disposals, and credits (capital grants, donations, government assistance and investment tax credits).

Include:

  • Cost of all new buildings, engineering, machinery and equipment which normally have a life of more than one year and are charged to fixed asset accounts
  • Modifications, acquisitions and major renovations
  • Capital costs such as feasibility studies, architectural, legal, installation and engineering fees
  • Subsidies received and used for capital expenditures
  • Capitalized interest charges on loans with which capital projects are financed
  • Work done by own labour force
  • Additions to capital work in progress.

Exclude:

  • transfers from capital work in progress (construction-in-progress) to fixed assets accounts
  • assets associated with the acquisition of companies
  • property developed for sale and machinery or equipment acquired for sale (inventory).

How to Treat Leases

Include:

  • assets acquired as a lessee through either a capital or financial lease;
  • assets acquired for lease to others as an operating lease.

Industry characteristics

Report the value of the projects expected to be put in place during the year. Include the gross expenditures (including subsidies) on fixed assets for use in the operations of your organization or for lease or rent to others. Include all capital costs such as feasibility studies, architectural, legal, installation and engineering fees as well as work done by your own labour force. Include all additions to work in progress.

New Assets, Renovation, Retrofit, includes both existing assets being upgraded and acquisitions of new assets.

Purchase of Used Canadian Assets

Definition: Used fixed assets may be defined as existing buildings, structures or machinery and equipment which have been previously used by another organization in Canada that you have acquired during the time period being reported on this questionnaire.

Explanation: The objective of our survey is to measure gross annual new acquisitions to fixed assets separately from the acquisition of gross annual used fixed assets in the Canadian economy as a whole.

Hence, the acquisition of a used fixed Canadian asset should be reported separately since such acquisitions would not change the aggregates of our domestic inventory of fixed assets, it would simply mean a transfer of assets within Canada from one organization to another.

Imports of used assets, on the other hand, should be included with the new assets (Column 1) because they are newly acquired for the Canadian economy.

Work in Progress

Work in progress represents accumulated costs since the start of capital projects which are intended to be capitalized upon completion.

Land

Capital expenditures for land should include all costs associated with the purchase of the land that are not amortized or depreciated.

Residential Construction

Report the value of residential structures including the housing portion of multi-purpose projects and of townsites.

Exclude:

  • buildings that have accommodation units without self-contained or exclusive use of bathroom and kitchen facilities (e.g., some student and senior citizen residences)
  • the non-residential portion of multi-purpose projects and of townsites
  • associated expenditures on services

The exclusions should be included in the appropriate construction (e.g., non-residential) asset.

Non-Residential Building Construction (excluding land purchase and residential construction)

Building construction represents any permanent structure with walls and a roof affording protection and shelter from and for a social and/or physical environment for people and/or materials.

For example, building construction represents expenditures on aircraft hangars, factories, hospitals, hotels, office buildings, railway stations, schools and shopping centres.

Report the total cost incurred during the year of building construction (contract and by own employees) whether for your own use or rent to others.

Include also:

  • the cost of demolition of buildings, land servicing and of site-preparation
  • leasehold and land improvements
  • all preconstruction planning and design costs such as engineer and consulting fees and any materials supplied to construction contractors for installation, etc.
  • townsite facilities, such as streets, sewers, stores, schools.

Non-residential engineering construction

Engineering construction encompasses the direct or indirect conveyance of people, machinery, materials, gases, and/or electrical impulses. It also includes free standing structures which contain or restrain such objects either as part of such conveyance or separately and independently.

In addition, the cost associated with significantly altering any terrain in the preparation for specialized use of that terrain will fall under engineering construction.

Report the total cost incurred during the year of engineering construction (contract and by own employees) whether for your own use or rent to others. Include also:

  • the cost of demolition of buildings, land servicing and of site-preparation
  • leasehold and land improvements
  • all preconstruction planning and design costs such as engineer and consulting fees and any materials supplied to construction contractors for installation, etc.
  • oil or gas pipelines, including pipe and installation costs
  • communication engineering, including transmission support structures, cables and lines, etc.
  • electric power engineering, including wind and solar plants, nuclear production plants, power distribution networks, etc.

Machinery and Equipment

Report total cost incurred during the year of all new machinery, whether for your own use or for lease or rent to others. Any capitalized tooling should also be included. Include progress payments paid out before delivery in the year in which such payments are made. Receipts from the sale of your own fixed assets or allowance for scrap or trade-in should not be deducted from your total capital expenditures. Any balance owing or holdbacks should be reported in the year the cost is incurred.

Include:

  • automobiles, trucks, professional and scientific equipment, office and store furniture and appliances
  • computers (hardware and software), broadcasting, telecommunication and other information and communication technology equipment
  • motors, generators, transformers
  • any capitalized tooling expenses
  • progress payments paid out before delivery in the year in which such payments are made
  • any balance owing or holdbacks should be reported in the year the cost is incurred
  • leasehold improvements.

Software

Capital expenditures for software should include all costs associated with the purchase or development of software.

Include:

  • Pre-packaged software
  • Custom software developed in-house/own account
  • Custom software design and development, contracted out

Research and Development

Research and experimental development (R&D) comprise creative and systematic work undertaken in order to increase the stock of knowledge – including knowledge of humankind, culture and society – and to devise new applications of available knowledge.

For an activity to be an R&D activity, it must satisfy five core criteria:

  1. To be aimed at new findings (novel);
  2. To be based on original, not obvious, concepts and hypothesis (creative);
  3. To be uncertain about the final outcome (uncertainty);
  4. To be planned and budgeted (systematic);
  5. To lead to results to could be possibly reproduced (transferable/ or reproducible).

The term R&D covers three types of activity: basic research, applied research and experimental development. Basic research is experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundations of phenomena and observable facts, without any particular application or use in view. Applied research is original investigation undertaken in order to acquire new knowledge. It is, however, directed primarily towards a specific, practical aim or objective. Experimental development is systematic work, drawing on knowledge gained from research and practical experience and producing additional knowledge, which is directed to producing new products or processes or to improving existing products or processes.

Why are we conducting this survey?

This survey collects data on capital expenditures in Canada. The information is used by federal and provincial government departments and agencies, trade associations, universities and international organizations for policy development and as a measure of regional economic activity.

Your information may also be used by Statistics Canada for other statistical and research purposes.

Your participation in this survey is required under the authority of the Statistics Act.

Other important information

Authorization to collect this information

Data are collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.

Confidentiality

By law, Statistics Canada is prohibited from releasing any information it collects that could identify any person, business, or organization, unless consent has been given by the respondent, or as permitted by the Statistics Act. Statistics Canada will use the information from this survey for statistical purposes only.

Record linkages

To enhance the data from this survey and to reduce the reporting burden, Statistics Canada may combine the acquired data with information from other surveys or from administrative sources.

Data-sharing agreements

To reduce respondent burden, Statistics Canada has entered into data-sharing agreements with provincial and territorial statistical agencies and other government organizations, which have agreed to keep the data confidential and use them only for statistical purposes. Statistics Canada will only share data from this survey with those organizations that have demonstrated a requirement to use the data.

Section 11 of the Statistics Act provides for the sharing of information with provincial and territorial statistical agencies that meet certain conditions. These agencies must have the legislative authority to collect the same information, on a mandatory basis, and the legislation must provide substantially the same provisions for confidentiality and penalties for disclosure of confidential information as the Statistics Act. Because these agencies have the legal authority to compel businesses to provide the same information, consent is not requested and businesses may not object to the sharing of the data.

For this survey, there are Section 11 agreements with the provincial and territorial statistical agencies of Newfoundland and Labrador, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia, and the Yukon.

The shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.

Section 12 of the Statistics Act provides for the sharing of information with federal, provincial or territorial government organizations. Under Section 12, you may refuse to share your information with any of these organizations by writing a letter of objection to the Chief Statistician, specifying the organizations with which you do not want Statistics Canada to share your data and mailing it to the following address:

Chief Statistician of Canada
Statistics Canada
Attention of Director, Enterprise Statistics Division
150 Tunney's Pasture Driveway
Ottawa, Ontario
K1A 0T6

You may also contact us by email at statcan.esdhelpdesk-dsebureaudedepannage.statcan@statcan.gc.ca or by fax at 613-951-6583.

For this survey, there are Section 12 agreements with the statistical agencies of Prince Edward Island, the Northwest Territories and Nunavut as well as Environment and Climate Change Canada, Natural Resources Canada and Sustainability Development Technology Canada.

For agreements with provincial and territorial government organizations, the shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.

Business or organization and contact information

1. Verify or provide the business or organization's legal and operating name and correct where needed.

Note: Legal name modifications should only be done to correct a spelling error or typo.

Legal Name

The legal name is one recognized by law, thus it is the name liable for pursuit or for debts incurred by the business or organization. In the case of a corporation, it is the legal name as fixed by its charter or the statute by which the corporation was created.

Modifications to the legal name should only be done to correct a spelling error or typo.

To indicate a legal name of another legal entity you should instead indicate it in question 3 by selecting 'Not currently operational' and then choosing the applicable reason and providing the legal name of this other entity along with any other requested information.

Operating Name

The operating name is a name the business or organization is commonly known as if different from its legal name. The operating name is synonymous with trade name.

Legal name

Operating name (if applicable)

2. Verify or provide the contact information of the designated business or organization contact person for this questionnaire and correct where needed.

Note: The designated contact person is the person who should receive this questionnaire. The designated contact person may not always be the one who actually completes the questionnaire.

First name

Last name

Title

Preferred language of communication

  • English
  • French

Mailing address (number and street)

City

Province, territory or state

Postal code or ZIP (Zone Improvement Plan) code
Example: A9A 9A9 or 12345-1234

Country

  • Afghanistan
  • Åland Islands
  • Albania
  • Algeria
  • American Samoa
  • Andorra
  • Angola
  • Anguilla
  • Antarctica
  • Antigua and Barbuda
  • Argentina
  • Armenia
  • Aruba
  • Australia
  • Austria
  • Azerbaijan
  • Bahamas
  • Bahrain
  • Bangladesh
  • Barbados
  • Belarus
  • Belgium
  • Belize
  • Benin
  • Bermuda
  • Bhutan
  • Bolivia
  • Bonaire, Sint Eustatius and Saba
  • Bosnia and Herzegovina
  • Botswana
  • Bouvet Island
  • Brazil
  • British Indian Ocean Territory
  • Brunei Darussalam
  • Bulgaria
  • Burkina Faso
  • Burma (Myanmar)
  • Burundi
  • Cambodia
  • Cameroon
  • Canada
  • Cape Verde
  • Cayman Islands
  • Central African Republic
  • Chad
  • Chile
  • China
  • Christmas Island
  • Cocos (Keeling) Islands
  • Colombia
  • Comoros
  • Congo, Republic of the
  • Congo, The Democratic Republic of the
  • Cook Islands
  • Costa Rica
  • Côte d'Ivoire
  • Croatia
  • Cuba
  • Curaçao
  • Cyprus
  • Czech Republic
  • Denmark
  • Djibouti
  • Dominica
  • Dominican Republic
  • Ecuador
  • Egypt
  • El Salvador
  • Equatorial Guinea
  • Eritrea
  • Estonia
  • Ethiopia
  • Falkland Islands (Malvinas)
  • Faroe Islands
  • Fiji
  • Finland
  • France
  • French Guiana
  • French Polynesia
  • French Southern Territories
  • Gabon
  • Gambia
  • Georgia
  • Germany
  • Ghana
  • Gibraltar
  • Greece
  • Greenland
  • Grenada
  • Guadeloupe
  • Guam
  • Guatemala
  • Guernsey
  • Guinea
  • Guinea-Bissau
  • Guyana
  • Haiti
  • Heard Island and McDonald Islands
  • Holy See (Vatican City State)
  • Honduras
  • Hong Kong Special Administrative Region
  • Hungary
  • Iceland
  • India
  • Indonesia
  • Iran
  • Iraq
  • Ireland, Republic of
  • Isle of Man
  • Israel
  • Italy
  • Jamaica
  • Japan
  • Jersey
  • Jordan
  • Kazakhstan
  • Kenya
  • Kiribati
  • Korea, North
  • Korea, South
  • Kosovo
  • Kuwait
  • Kyrgyzstan
  • Laos
  • Latvia
  • Lebanon
  • Lesotho
  • Liberia
  • Libya
  • Liechtenstein
  • Lithuania
  • Luxembourg
  • Macao Special Administrative Region
  • Macedonia, Republic of
  • Madagascar
  • Malawi
  • Malaysia
  • Maldives
  • Mali
  • Malta
  • Marshall Islands
  • Martinique
  • Mauritania
  • Mauritius
  • Mayotte
  • Mexico
  • Micronesia, Federated States of
  • Moldova
  • Monaco
  • Mongolia
  • Montenegro
  • Montserrat
  • Morocco
  • Mozambique
  • Namibia
  • Nauru
  • Nepal
  • Netherlands
  • New Caledonia
  • New Zealand
  • Nicaragua
  • Niger
  • Nigeria
  • Niue
  • Norfolk Island
  • Northern Mariana Islands
  • Norway
  • Oman
  • Pakistan
  • Palau
  • Panama
  • Papua New Guinea
  • Paraguay
  • Peru
  • Philippines
  • Pitcairn
  • Poland
  • Portugal
  • Puerto Rico
  • Qatar
  • Réunion
  • Romania
  • Russian Federation
  • Rwanda
  • Saint Barthélemy
  • Saint Helena
  • Saint Kitts and Nevis
  • Saint Lucia
  • Saint Martin (French part)
  • Saint Pierre and Miquelon
  • Saint Vincent and the Grenadines
  • Samoa
  • San Marino
  • Sao Tome and Principe
  • Sark
  • Saudi Arabia
  • Senegal
  • Serbia
  • Seychelles
  • Sierra Leone
  • Singapore
  • Sint Maarten (Dutch part)
  • Slovakia
  • Slovenia
  • Solomon Islands
  • Somalia
  • South Africa, Republic of
  • South Georgia and the South Sandwich Islands
  • South Sudan
  • Spain
  • Sri Lanka
  • Sudan
  • Suriname
  • Svalbard and Jan Mayen
  • Swaziland
  • Sweden
  • Switzerland
  • Syria
  • Taiwan
  • Tajikistan
  • Tanzania
  • Thailand
  • Timor-Leste
  • Togo
  • Tokelau
  • Tonga
  • Trinidad and Tobago
  • Tunisia
  • Turkey
  • Turkmenistan
  • Turks and Caicos Islands
  • Tuvalu
  • Uganda
  • Ukraine
  • United Arab Emirates
  • United Kingdom
  • United States
  • United States Minor Outlying Islands
  • Uruguay
  • Uzbekistan
  • Vanuatu
  • Venezuela
  • Viet Nam
  • Virgin Islands, British
  • Virgin Islands, United States
  • Wallis and Futuna
  • West Bank and Gaza Strip (Palestine)
  • Western Sahara
  • Yemen
  • Zambia
  • Zimbabwe

Email address
Example: user@example.gov.ca

Telephone number (including area code)
Example: 123-123-1234

Extension number (if applicable)

Fax number (including area code)
Example: 123-123-1234

3. Verify or provide the current operational status of the business or organization identified by the legal and operating name above.

  • Operational
  • Not currently operational
  • e.g., (for example) temporarily or permanently closed, change of ownership

Why is this business or organization not currently operational?

  • Seasonal operations
  • Ceased operations
  • Sold operations
  • Amalgamated with other businesses or organizations
  • Temporarily inactive but will re-open
  • No longer operating due to other reasons

When did this business or organization close for the season?

  • Date
    Example: YYYY-MM-DD

When does this business or organization expect to resume operations?

  • Date
    Example: YYYY-MM-DD

When did this business or organization cease operations?

  • Date
    Example: YYYY-MM-DD

Why did this business or organization cease operations?

  • Bankruptcy
  • Liquidation
  • Dissolution
  • Other

Specify the other reasons why the operations ceased.

When was this business or organization sold?

  • Date
    Example: YYYY-MM-DD

What is the legal name of the buyer?

When did this business or organization amalgamate?

  • Date
    Example: YYYY-MM-DD

What is the legal name of the resulting or continuing business or organization?

What are the legal names of the other amalgamated businesses or organizations?

When did this business or organization become temporarily inactive?

  • Date
    Example: YYYY-MM-DD

When does this business or organization expect to resume operations?

  • Date
    Example: YYYY-MM-DD

Why is this business or organization temporarily inactive?

When did this business or organization cease operations?

  • Date
    Example: YYYY-MM-DD

Why did this business or organization cease operations?

4. Verify or provide the current main activity of the business or organization identified by the legal and operating name above.

Note: The described activity was assigned using the North American Industry Classification System (NAICS).

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 units 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.

The following is the detailed description including any applicable examples or exclusions for the classification currently associated with this business or organization.

Description and examples

  • This is the current main activity
  • This is not the current main activity

Provide a brief but precise description of this business or organization's main activity.

e.g. , breakfast cereal manufacturing, shoe store, software development

Main activity

5. You indicated thatis not the current main activity.

Was this business or organization's main activity ever classified as:?

  • Yes
    • When did the main activity change?
      • Date
  • No

6. Search and select the industry classification code that best corresponds to this business or organization's main activity.

How to search:

  • if desired, you can filter the search results by first selecting this business or organization's activity sector
  • enter keywords or a brief description that best describes this business or organization main activity
  • press the Search button to search the database for an activity that best matches the keywords or description you provided
  • then select an activity from the list.

Select this business or organization's activity sector (optional)

  • Farming or logging operation
  • Construction company or general contractor
  • Manufacturer
  • Wholesaler
  • Retailer
  • Provider of passenger or freight transportation
  • Provider of investment, savings or insurance products
  • Real estate agency, real estate brokerage or leasing company
  • Provider of professional, scientific or technical services
  • Provider of health care or social services
  • Restaurant, bar, hotel, motel or other lodging establishment
  • Other sector

Enter keywords or a brief description, then press the Search button

Reporting period information

1. What are the start and end dates of this organization's fiscal year?

Note: For this survey, the end date should fall between April 1, 2020 and March 31, 2021.

Here are twelve common fiscal periods that fall within the targeted dates:

  • May 1,2020 to April 30, 2021
  • June 1, 2020 to May 31, 2021
  • July 1, 2020 to June 30, 2021
  • August 1, 2020 to July 31, 2021
  • September 1, 2020 to August 31, 2021
  • October 1, 2020 to September 30, 2021
  • November 1, 2020 to October 31, 2021
  • December 1, 2020 to November 30, 2021
  • January 1, 2020 to December 31, 2021
  • February 1, 2020 to January 31, 2021
  • March 1, 2020 to February 28, 2021
  • April 1, 2020 to March 31, 2021.

Here are other examples of fiscal periods that fall within the required dates:

  • September 18, 2020 to September 15, 2021 ( e.g. , floating year-end)
  • June 1, 2020 to December 31, 2021 ( e.g. , a newly opened business).

Fiscal Year Start
Example: YYYY-MM-DD

  • Date

Fiscal Year-End
Example: YYYY-MM-DD

  • Date

2. What is the reason the reporting period does not cover a full year?

Select all that apply.

Seasonal operations

New business

Change of ownership

Temporarily inactive

Change of fiscal year

Ceased operations

Other reason - specify:

Additional reporting instructions

3. Throughout this questionnaire, please report financial information in thousands of Canadian dollars.

For example, an amount of $763,880.25 should be reported as:

CAN$ '000

I will report in the format above.

Capital Expenditures - Preliminary Estimate 2021

4. For the fiscal year 2021, what are this organization's preliminary estimates for capital expenditures?

Include: all capitalized overhead and capitalized interest.

  • When there are partnerships and joint venture activities or projects, report the expenditures reflecting this corporation's net interest in such projects or ventures.
  • Report all dollar amounts in thousands of Canadian dollars ('000).
  • Exclude sales tax.
  • When precise figures are not available, please provide your best estimates.

If there are no capital expenditures, please enter '0'.

A. Oil and gas rights acquisition and retention costs (exclude inter-company sales or transfers):

Include acquisition costs and fees for oil and gas rights (include bonuses, legal fees and filing fees), and oil and gas retention costs.

B. Exploration and evaluation, capitalized or expensed ( e.g. , leases and licences, seismic, exploration drilling):

These expenditures include mineral rights fees and retention costs, geological, geophysical and seismic expenses, exploration drilling, and other costs incurred during the reporting period in order to determine whether oil or gas reserves exist and can be exploited commercially. Report gross expenditures, before deducting any incentive grants, incurred for oil and gas activities on a contracted basis and/or by your own employees. Exclude the cost of land acquired from other oil and gas companies.

C. Building construction ( e.g. , process building, office building, camp, storage building, and maintenance garage):

Include capital expenditures on buildings such as office buildings, camps, warehouses, maintenance garages, workshops, and laboratories. Fixtures, facilities and equipment that are integral parts of the building are included.

D. Other construction assets ( e.g. , development drilling and completions, processing facilities, natural gas plants, upgraders):

Include all infrastructure, other than buildings, such as the cost of well pads, extraction and processing infrastructure and plants, upgrading units, transportation infrastructure, water and sewage infrastructure, tailings, pipelines and wellhead production facilities (pumpjacks, separators, etc. ). Include all preconstruction planning and design costs such as development drilling, regulatory approvals, environmental assessments, engineering and consulting fees and any materials supplied to construction contractors for installation, as well as site clearance and preparation. Equipment which is installed as an integral or built-in feature of a fixed structure ( e.g. , casings, tanks, steam generators, pumps, electrical apparatus, separators, flow lines, etc. ) should be reported with the construction asset; however, when the equipment is replaced within an existing structure, the replacement cost should be reported in machinery and equipment (sustaining capital).

E. Machinery and equipment purchases ( e.g. , trucks, shovels, computers, etc. ):

Include transportation equipment for people and materials, computers, software, communication equipment, and processing equipment not included in the above categories.

Preliminary Estimate

  2021 Preliminary Estimate ( CAN$ '000 )
Oil and gas rights acquisitions and retention costs  
Exploration and evaluation  
Non-residential building construction  
Development and other construction  
Machinery and equipment  
Total  

Total

Research and Development

5. For the fiscal year 2021, did this organization perform scientific research and development in Canada of at least $10,000 or outsource (contract-out) to another organization scientific research and development activities of at least $10,000?

Research and experimental development (R&D) comprise creative and systematic work undertaken in order to increase the stock of knowledge - including knowledge of humankind, culture and society - and to devise new applications of available knowledge. For an activity to be an R&D activity, it must satisfy five core criteria:

  1. To be aimed at new findings (novel);
  2. To be based on original, not obvious, concepts and hypothesis (creative);
  3. To be uncertain about the final outcome (uncertainty);
  4. To be planned and budgeted (systematic);
  5. To lead to results to could be possibly reproduced (transferable/ or reproducible).

The term R&D covers three types of activity: basic research, applied research and experimental development. Basic research is experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundations of phenomena and observable facts, without any particular application or use in view. Applied research is original investigation undertaken in order to acquire new knowledge. It is, however, directed primarily towards a specific, practical aim or objective. Experimental development is systematic work, drawing on knowledge gained from research and practical experience and producing additional knowledge, which is directed to producing new products or processes or to improving existing products or processes.

  • Yes
  • No

Capital Expenditures - Intentions 2022

6. For the fiscal year 2022, what are this organization's intentions for capital expenditures?

Include: all capitalized overhead and capitalized interest.

  • When there are partnerships and joint venture activities or projects, report the expenditures reflecting this corporation's net interest in such projects or ventures.
  • Report all dollar amounts in thousands of Canadian dollars ('000).
  • Do not include sales tax.
  • Percentages should be rounded to whole numbers.
  • When precise figures are not available, please provide your best estimates.

If there are no capital expenditures, please enter '0'.

A. Oil and gas rights acquisition and retention costs (exclude inter-company sales or transfers):

Include acquisition costs and fees for oil and gas rights (include bonuses, legal fees and filing fees), and oil and gas retention costs

B. Exploration and evaluation, capitalized or expensed ( e.g. , leases and licences, seismic, exploration drilling):

These expenditures include mineral rights fees and retention costs, geological, geophysical and seismic expenses, exploration drilling, and other costs incurred during the reporting period in order to determine whether oil or gas reserves exist and can be exploited commercially. Report gross expenditures, before deducting any incentive grants, incurred for oil and gas activities on a contracted basis and/or by your own employees. Exclude the cost of land acquired from other oil and gas companies.

C. Building construction ( e.g. , process building, office building, camp, storage building, and maintenance garage):

Include capital expenditures on buildings such as office buildings, camps, warehouses, maintenance garages, workshops, and laboratories. Fixtures, facilities and equipment that are integral parts of the building are included.

D. Other construction assets ( e.g. , development drilling and completions, processing facilities, natural gas plants, upgraders):

Include all infrastructure, other than buildings, such as the cost of well pads, extraction and processing infrastructure and plants, upgrading units, transportation infrastructure, water and sewage infrastructure, tailings, pipelines and wellhead production facilities (pumpjacks, separators, etc. ). Include all preconstruction planning and design costs such as development drilling, regulatory approvals, environmental assessments, engineering and consulting fees and any materials supplied to construction contractors for installation, as well as site clearance and preparation. Equipment which is installed as an integral or built-in feature of a fixed structure ( e.g. , casings, tanks, steam generators, pumps, electrical apparatus, separators, flow lines, etc. ) should be reported with the construction asset; however, when the equipment is replaced within an existing structure, the replacement cost should be reported in machinery and equipment (sustaining capital).

E. Machinery and equipment purchases ( e.g. , trucks, shovels, computers, etc. ):

Include transportation equipment for people and materials, computers, software, communication equipment, and processing equipment not included in the above categories.

Intensions 2022

  Intentions 2022 ( CAN$ '000 )
Oil and gas rights acquisitions and retention costs  
Exploration and evaluation  
Non-residential building construction  
Development and other construction  
Machinery and equipment  
Total  

Total

In order to reduce future follow-up, please select one of the following options.

You could also make corrections to the current cycle by pressing the Previous button.

You have not reported anything for 2022, but have entered data for 2021. Is this correct? If you do not intend on having any capital expenditures in the 2022 fiscal year, please return to the previous page and enter `0`s. If this information is not yet available, please press the Next button.

  • I confirm that all values are correct.
  • I am unable to confirm that all values are correct.

7.  You have not reported any capital expenditure intentions for 2022.

Please indicate the reason.

  • Zero capital expenditure intentions for 2022
  • Figures not available but plans are for no change in capital expenditures for 2022
  • Figures not available but plans are for an increase in capital expenditures for 2022
  • Figures not available but plans are for a decrease in capital expenditures for 2022

Research and Development

8. For the 2022 fiscal year, does this organization plan on performing scientific research and development in Canada of at least $10,000 or outsourcing (contracting-out) to another organization scientific research and development activities of at least $10,000?

Research and experimental development (R&D) comprise creative and systematic work undertaken in order to increase the stock of knowledge - including knowledge of humankind, culture and society - and to devise new applications of available knowledge. For an activity to be an R&D activity, it must satisfy five core criteria:

  1. To be aimed at new findings (novel);
  2. To be based on original, not obvious, concepts and hypothesis (creative);
  3. To be uncertain about the final outcome (uncertainty);
  4. To be planned and budgeted (systematic);
  5. To lead to results to could be possibly reproduced (transferable/ or reproducible).

The term R&D covers three types of activity: basic research, applied research and experimental development. Basic research is experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundations of phenomena and observable facts, without any particular application or use in view. Applied research is original investigation undertaken in order to acquire new knowledge. It is, however, directed primarily towards a specific, practical aim or objective. Experimental development is systematic work, drawing on knowledge gained from research and practical experience and producing additional knowledge, which is directed to producing new products or processes or to improving existing products or processes.

  • Yes
  • No

Notification of intent to extract web data

9. Does this business have a website?

Statistics Canada is piloting a web data extraction initiative, also known as web scraping, which uses software to search and compile publicly available data from organizational websites. As a result, we may visit the website for this organization to search for, and compile, additional information. This initiative should allow us to reduce the response burden on organizations, and produce additional statistical indicators to ensure that our data remain accurate and relevant.

We will do our utmost to ensure the data are collected in a manner that will not affect the functionality of the website. Any data collected will be used by Statistics Canada for statistical and research purposes only, in accordance with the agency's mandate.

More information regarding Statistics Canada’s web scraping initiative page
www.statcan.gc.ca/eng/about/about.

Learn more about Statistics Canada's transparency and accountability, page
www.statcan.gc.ca/eng/transparency-accountability.

If you have any questions or concerns, please contact Statistics Canada Client Services, toll-free at 1-877-949-9492 (TTY: 1-800-363-7629) or by email at infostats@statcan.gc.ca. Additional information about this survey can be found at the following link: Annual Capital and Repair Expenditures Survey: Actual, Preliminary and Intentions (CAPEX).

Changes or events

10. Indicate any changes or events that affected the reported values for this business or organization, compared with the last reporting period.

Select all that apply.

  • Labour shortages or employee absences
  • Disruptions in supply chains
  • Deferred plans to future or projects on hold
  • Strike or lock-out
  • Exchange rate impact
  • Price changes in goods or services sold
  • Contracting out
  • Organizational change
  • Price changes in labour or raw materials
  • Natural disaster
  • Recession
  • Change in product line
  • Sold business or business units
  • Expansion
  • New or lost contract
  • Plant closures
  • Acquisition of business or business units
  • Other
    Specify the other changes or events:
  • No changes or events

Contact person

11. Statistics Canada may need to contact the person who completed this questionnaire for further information.

Is [Provided Given Names], [Provided Family Name] the best person to contact?

  • Yes
  • No

Who is the best person to contact about this questionnaire?

First name:

Last name:

Title:

Email address:
Example: user@example.gov.ca

Telephone number (including area code):
Example: 123-123-1234

Extension number (if applicable):
The maximum number of characters is 5.

Fax number (including area code):
Example: 123-123-1234

Feedback

12. How long did it take to complete this questionnaire?

Include the time spent gathering the necessary information.

  • Hours:
  • Minutes:

13. Do you have any comments about this questionnaire?

Enter your comments
200 characters available

Quarterly Survey of Financial Statements: Weighted Asset Response Rate - second quarter 2021

Weighted Asset Response Rate
Table summary
This table displays the results of Weighted Asset Response Rate. The information is grouped by Release date (appearing as row headers), 2020, Q2, Q3, and Q4, and 2021, Q1 and Q2 calculated using percentage units of measure (appearing as column headers).
Release date 2020 2021
Q2 Q3 Q4 Q1 Q2
quarterly (percentage)
August 24, 2021 79.6 76.6 74.2 72.0 58.1
May 25, 2021 79.6 76.6 74.2 54.8 ..
February 24, 2021 78.0 75.7 54.9 .. ..
November 20, 2020 76.3 55.4 .. .. ..
August 25, 2020 59.1 .. .. .. ..
.. not available for a specific reference period
Source: Quarterly Survey of Financial Statements (2501)

Monthly Survey of Food Services and Drinking Places: CVs for Total Sales by Geography - June 2021

Monthly Survey of Food Services and Drinking Places: CVs for Total sales by Geography - June 2021
Table summary
This table displays the results of CVs for Total sales by Geography. The information is grouped by Geography (appearing as row headers), Month and percentage (appearing as column headers).
Geography Month
202006 202007 202008 202009 202010 202011 202012 202101 202102 202103 202104 202105 202106
percentage
Canada 0.34 0.35 0.19 0.21 0.21 0.20 0.25 0.20 0.19 0.47 1.44 1.56 1.04
Newfoundland and Labrador 1.05 0.82 0.36 0.62 1.53 0.30 0.48 1.08 0.48 2.16 2.05 2.56 0.73
Prince Edward Island 9.11 8.73 0.95 0.63 0.84 1.08 1.81 1.63 1.04 1.29 16.69 1.29 1.37
Nova Scotia 0.88 1.50 1.39 0.37 0.77 0.36 1.03 0.91 0.40 0.87 2.76 3.24 0.72
New Brunswick 0.82 0.60 2.28 0.50 0.33 0.39 0.49 0.98 0.50 0.39 1.08 1.45 0.77
Quebec 0.70 0.77 0.48 0.56 0.65 0.55 0.79 0.68 0.67 1.11 5.08 4.92 1.87
Ontario 0.63 0.70 0.26 0.31 0.25 0.28 0.45 0.34 0.24 0.99 2.56 2.78 2.54
Manitoba 0.81 0.70 0.34 0.34 0.72 0.93 0.78 0.89 0.46 0.45 1.21 3.36 0.90
Saskatchewan 0.58 1.55 0.67 0.99 0.91 1.04 0.75 0.91 0.52 0.46 1.22 1.28 0.88
Alberta 0.63 0.53 0.23 0.55 0.33 0.36 0.54 0.52 0.33 0.81 3.06 4.85 0.81
British Columbia 1.03 0.83 0.67 0.58 0.72 0.68 0.39 0.33 0.56 0.99 1.88 1.95 1.44
Yukon Territory 3.06 1.41 1.57 1.64 1.72 1.71 4.34 5.07 1.96 3.01 65.36 3.25 2.43
Northwest Territories 2.48 1.43 1.94 2.14 2.10 2.04 1.97 6.05 1.83 2.93 74.26 3.97 2.93
Nunavut 3.93 1.82 0.56 2.60 2.45 67.48 2.75 2.54 2.39 2.67 3.88 4.80 1.19

Retail Trade Survey (Monthly): CVs for Total sales by geography - June 2021

CVs for Total sales by geography
This table displays the results of Annual Retail Trade Survey: CVs for Total sales by geography - April 2021. The information is grouped by Geography (appearing as row headers), Month and Percent (appearing as column headers)
Geography Month
202106
%
Canada 0.6
Newfoundland and Labrador 1.3
Prince Edward Island 1.0
Nova Scotia 1.9
New Brunswick 1.5
Quebec 1.1
Ontario 1.4
Manitoba 0.9
Saskatchewan 1.9
Alberta 1.3
British Columbia 1.1
Yukon Territory 1.1
Northwest Territories 0.6
Nunavut 1.1

Analytical Guide - Portrait of Canadian Society: Perceptions of Life during the Pandemic

1.0 Description

The survey series Portrait of Canadian Society (PCS) is a new Statistics Canada initiative. It is a probabilistic web panel that involves asking the same group of participants to complete four brief online surveys over a one-year period. For now, this is an experimental project which is part of a larger effort to modernize our data collection methods and activities. The goal is to collect important data on Canadian society more efficiently, more rapidly and at a lower cost compared to traditional survey methods. We will be able to test this collection method and refine it over time.

The experimental nature of this project and its high degree of non-response have an impact on which estimates should be produced using the web panel. Survey weights were adjusted to minimise potential bias that could arise from panel non-response; non-response adjustments and calibration using available auxiliary information were applied and are reflected in the survey weights provided with the data file. Despite these adjustments, the high degree of non-response to the panel increases the risk of remaining bias, which may impact estimates produced using the panel data. More information about the weighting methods used to adjust for non-response can be found in Section 5. Data quality guidelines and considerations are outlined in Section 6.

Each survey in the series is administered to a sub-sample of General Social Survey - Social Identity (GSS-SI) respondents who agreed to participate in additional surveys when completing the GSS-SI.

From March 29 to April 11, 2021, Statistics Canada conducted the Portrait of Canadian Society: Perceptions of Life during the Pandemic (PCS-PLP). This survey was the first wave of the PCS.

The purpose of this survey is to explore Canadians' perceptions of various facets of life including home and work life, leisure and well-being. The PCS is designed to produce data at a national level.

This manual has been produced to facilitate the manipulation of the microdata file of the PCS-PLP survey results.

Any questions about the data set or its use should be directed to:

Statistics Canada

Client Services
Centre for Social Data Integration and Development
Telephone: 613-951-3321 or call toll-free 1-800-461-9050
Fax: 613-951-4527
E-mail: csdid-info-cidds@canada.ca

2.0 Survey methodology

2.1 Target and survey population

The PCS-PLP is a sample survey with a cross-sectional design. Each survey in the series is administered to a sub-sample of General Social Survey - Social Identity (GSS-SI) respondents who agreed to participate in additional surveys when completing the GSS-SI.

The target population for the Portrait of Canadian Society (PCS) is the same as that of the GSS-SI. The target population includes all persons 15 years of age and older in Canada, excluding:

  1. Residents of Yukon, the Northwest Territories, and Nunavut;
  2. Full-time residents of institutions;
  3. Residents of reserves.

The frame used for GSS-SI, as well as the sampling strategy, are described in section 5 of the 2020 GSS-SI User Guide.

2.2 Sample Design and Size

To recruit the sample for Portrait of Canadian Society (PCS), recruitment questions were added at the end of General Social Survey – Social Identity (GSS-SI). Approximately 22% of GSS-SI respondents agreed to be approached for future surveys. They formed the sample for PCS.

The table below provides the number of respondents at each stage of the PCS-PLP design.

Stages of the Sample n
Dwellings selected for GSS-SI. 86,804
Individuals who responded to GSS-SI 34,044
Individuals who agreed to be approached for further surveys 7,502
Raw sample for surveys of the PCS 7,502
Panelists who participated in PCS-PLP 3,108

The table below provides the number of respondents for PCS-PLP by region, age group, and sex.

Area Domain n
Geography Canada 3108
Atlantic provinces 476
Quebec 584
Ontario 1052
Prairies 583
British Columbia 413
Age Group All 3108
15-24 142
25-34 421
35-44 647
45-54 596
55-64 579
65-74 542
75+ 181
Sex All 3108
Male 1540
Female 1568

3.0 Data collection

PCS Recruitment

The recruitment for PCS was done by adding two recruitment questions at the end of the GSS-SI questionnaire. GSS-SI was administered from August 17, 2020 to February 8, 2021. The first question asked if respondents would like to participate in a series of short, 15-20 minute surveys about important social topics. The respondents who answered "yes" to this question were asked to provide their email address and cellular phone number. This sub-sample of GSS-SI formed the sample for PCS.

PCS-PLP – Perceptions of Life during the Pandemic

All respondents from GSS-SI who answered "yes" to the recruitment questions were sent an email invitation with a link to the PCS-PLP and a Secure Access Code (SAC) to complete the survey online.  Collection for the survey began March 29, 2021.  Reminder emails were sent on March 31, April 6 and April 9. The application remained open until April 11 2021.

Record Linkage:

To enhance the data from PCS-PLP and reduce the response burden, information provided by respondents was combined with information from the General Social Survey - Social Identity. The GSS-SI is the source of socio-demographic variables available on the PCS-PLP.

3.1 Disclosure control

Statistics Canada is prohibited by law from releasing any data which would divulge information obtained under the Statistics Act that relates to any identifiable person, business or organization without the prior knowledge or the consent in writing of that person, business or organization. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data is suppressed to prevent direct or residual disclosure of identifiable data.

4.0 Data quality

Survey errors come from a variety of different sources. They can be classified into two main categories: non-sampling errors and sampling errors.

4.1 Non-sampling errors

Non-sampling errors can be defined as errors arising during the course of virtually all survey activities, apart from sampling. They are present in both sample surveys and censuses (unlike sampling error, which is only present in sample surveys). Non-sampling errors arise primarily from the following sources: non-response, coverage, measurement and processing.

4.1.1 Non-response

Non-response is both a source of non-sampling error and sampling error. Non-response result from a failure to collect complete information from all units in the selected sample. Non-response is a source of non-sampling error in the sense that non-respondents often have different characteristics from respondents, which can result in biased survey estimates if non-response bias is not fully eliminated through weighting adjustments. The lower the response rate, the higher the risk of bias. Non-response is also a source of sampling error; this is discussed further in Section 6.2.

The PCS-PLP survey design is carried out in multiple stages, each of which results in some non-response. The table below summarizes the response rate at each of these stages and the resulting cumulative response rate for PCS-PLP.

Survey stage Number of respondents Response rate
GSS-SI 34,044 40.3%
Opt-in to additional surveys among GSS-SI respondents 7,502 22.0%
Response to PCS-PLP among panel participants 3,108 41.4%
Cumulative response rate   3.7%

4.1.2 Coverage errors

Coverage errors consist of omissions, erroneous inclusions, duplications and misclassifications of units in the survey frame. Since they affect every estimate produced by the survey, they are one of the most important types of errors. Coverage errors may cause a bias in the estimates and the effect can vary for different sub-groups of the population. This is a very difficult error to measure or quantify accurately.

The PCS-PLP data is collected from people aged 15 years and over living in private dwellings within the 10 provinces. Excluded from the survey's coverage are: residents of Yukon, the Northwest Territories, and Nunavut; full-time residents of institutions, and residents of reserves. These groups together represent an exclusion of less than 2% of the Canadian population aged 15 and over.

Since collection of the PCS-PLP was conducted from March 29 to April 11, 2021, there is an undercoverage of residents of the 10 provinces that turned 15 since August 17, 2020. There is also undercoverage of those without internet access. This undercoverage is greater amongst those age 65 years and older.

4.1.3 Measurement errors

Measurement errors (or sometimes referred to as response errors) occur when the response provided differs from the real value; such errors may be attributable to the respondent, the questionnaire, the collection method or the respondent's record-keeping system. Such errors may be random or they may result in a systematic bias if they are not random.

4.1.4 Processing errors

Processing errors are the errors associated with activities conducted once survey responses have been received. They include all data handling activities after collection and prior to estimation. Like all other errors, they can be random in nature, and inflate the variance of the survey’s estimates, or systematic, and introduce bias. It is difficult to obtain direct measures of processing errors and their impact on data quality especially since they are mixed in with other types of errors (nonresponse, measurement and coverage).

4.2 Sampling errors

Sampling error is defined as the error that results from estimating a population characteristic by measuring a portion of the population rather than the entire population. For probability sample surveys, methods exist to calculate sampling error. These methods derive directly from the sample design and method of estimation used by the survey.

The most commonly used measure to quantify sampling error is sampling variance. Sampling variance measures the extent to which the estimate of a characteristic from different possible samples of the same size and the same design differ from one another. For sample designs that use probability sampling, the magnitude of an estimate's sampling variance can be estimated.

Factors affecting the magnitude of the sampling variance include:

  1. The variability of the characteristic of interest in the population: the more variable the characteristic in the population, the larger the sampling variance.
  2. The size of the population: in general, the size of the population only has an impact on the sampling variance for small to moderate sized populations.
  3. The response rate: the sampling variance increases as the sample size decreases. Since non-respondents effectively decrease the size of the sample, non-response increases the sampling variance.
  4. The sample design and method of estimation: some sample designs are more efficient than others in the sense that, for the same sample size and method of estimation, one design can lead to smaller sampling variance than another.

The standard error of an estimator is the square root of its sampling variance. This measure provides an indication of sampling error using the same scale as the estimate whereas the variance is based on squared differences.

The coefficient of variation (CV) of an estimate is a relative measure of the sampling error. It is defined as the estimate of the standard error divided by the estimate itself. It is very useful for measuring and comparing the sampling error of quantitative variables with large positive values. However, it is not recommended for estimates such as proportions, estimates of change or differences, and variables that can take on negative values.

It is considered a best practice at Statistics Canada to report the sampling error of an estimate through its 95% confidence interval. The 95% confidence interval of an estimate means that if the survey were repeated over and over again, then the confidence interval would cover the true population value 95% of the time (or 19 times out of 20).

5.0 Weighting

The principle behind estimation in a probability sample is that each unit selected in the sample represents, besides itself, other units that were not selected in the sample. For example, if a simple random sample of size 100 is selected from a population of size 5,000, then each unit in the sample represents 50 units in the population. The number of units represented by a unit in the sample is called the survey weight of the sampled unit.

The weighting phase is a step that calculates, for each person, an associated sampling weight. This weight appears on the microdata file, and must be used to derive estimates representative of the target population from the survey. For example, if the number of individuals who smoke daily is to be estimated, it is done by selecting the records referring to those individuals in the sample having that characteristic and summing the weights entered on those records. The weighting phase is a step which calculates, for each record, what this number is. This section provides the details of the method used to calculate sampling weights for the PCS-PLP.

The weighting of the sample for the PCS-PLP has multiple stages to reflect the stages of sampling, participation and response to get the final set of respondents. The following sections cover the weighting steps to create the survey weights for PCS-PLP.

5.1 Design weights

The initial panel weights are the final calibrated GSS-SI weights. These are the GSS-SI design weights adjusted for out-of-scope units and GSS-SI nonresponse, and then calibrated to population control totals. More information on these weights is available in section 8.1 of the GSS-SI user guide.

5.2 Nonresponse/Nonparticipation Adjustment

During collection of the PCS-PLP, responses are obtained only from a proportion of sampled units. Individuals who responded to GSS-SI may decide not to opt-in to additional surveys and therefore not participate in the panel. Additionally, some individuals who opted into the panel, do not respond during PCS-PLP collection. Weights of the nonresponding and nonparticipating units were redistributed to participating units. Units that did not participate in the panel had their weights redistributed to the participating units with similar characteristics within response homogeneity groups (RHGs).

Many variables from the GSS-SI were available to build the RHG (such as education level and employment information) as well as information from the GSS-SI collection process itself.

The following variables were kept in the final logistic regression model: education , month and wave of GSS response, population group, sexual orientation, response mode to GSS (online self-response or interviewer-assisted), disability flag, occupation, language, geographic region of birth, region of residence, age group, full-time/part-time student status, Indigenous flag, current employment flag, personal income, and a home ownership flag. An adjustment factor was calculated within each response group as follows:

[ Sum of weights of respondents and nonrespondents / Sum of weights of respondents ]

The weights of the respondents were multiplied by this factor to produce the non-response adjusted weights. The nonparticipating units were dropped from the weighting process at this point.

5.3 Calibration

Control totals were computed using demography projection data. During calibration, an adjustment factor is calculated and applied to the survey weights. This adjustment is made such that the weighted sums match the control totals. Three sets of population control totals were used for PCS-PLP:

  1. Geographic region, age group, and sex. The geography and age groupings selected for calibration took into account the sometimes small number of respondents in different categories. The five geographic regions used for calibration were the Atlantic Provinces, Quebec, Ontario, the Prairie Provinces, and British Columbia. The age groups used were 15-34 year olds, 35-64 year olds, and those aged 65 years or more.
  2. Sub-regional geographies. Respondent weights were also calibrated so that the sum within each province, as well as within the CMAs of Montreal, Toronto, and Vancouver, match population control in those sub-regional geographies.
  3. Age group at a national level. Respondent weights were calibrated to population totals (nationally) within more granular age groupings. These groupings were defined as 15-24 year olds, 25-34 year olds, etc. up to respondents aged 75 years or more.

5.4 Bootstrap weights

Bootstrap weights were generated for the PCS-PLP survey respondents.  Each bootstrap replicate was generated based on the initial PCS-PLP design weights, and then adjusted for non-response and calibrated as described above.

6.0 Guidelines for tabulation, analysis and release

This chapter of the documentation outlines the guidelines to be adhered to by users tabulating, analyzing, publishing or otherwise releasing any data derived from the survey microdata files. With the aid of these guidelines, users of microdata should be able to produce the same figures as those produced by Statistics Canada and, at the same time, will be able to develop currently unpublished figures in a manner consistent with these established guidelines.

6.1 Rounding guidelines

Users are urged to adhere to the following rounding guidelines when producing estimates and statistical tables computed from these microdata files:

  1. Estimates in the main body of a statistical table are to be rounded using the normal rounding technique. In normal rounding, if the first or only digit to be dropped is 0 to 4, the last digit to be retained is not changed. If the first or only digit to be dropped is 5 to 9, the last digit to be retained is raised by one.
  2. Marginal sub-totals and totals in statistical tables are to be derived from their corresponding unrounded components and then are to be rounded themselves using normal rounding. Averages, rates, percentages, proportions and ratios are to be computed from unrounded components (i.e. numerators and/or denominators) and then are to be rounded themselves using normal rounding. Sums and differences are to be derived from their corresponding unrounded components and then are to be rounded themselves using normal rounding.
  3. In instances where, due to technical or other limitations, a rounding technique other than normal rounding is used resulting in estimates to be published or otherwise released which differ from corresponding estimates published by Statistics Canada, users are urged to note the reason for such differences in the publication or release document(s).
  4. Under no circumstances are unrounded estimates to be published or otherwise released by users. Unrounded estimates imply greater precision than actually exists.

6.2 Sample weighting guidelines for tabulation

The PCS-PLP uses a complex sample design and estimation method, and the survey weights are therefore not equal for all the sampled units. When producing estimates and statistical tables, users must apply the proper survey weights. If proper weights are not used, the estimates derived from the microdata files cannot be considered to be representative of the survey population, and will not correspond to those produced by Statistics Canada.

6.3 Release guidelines for quality

Before releasing and/or publishing any estimates, analysts should consider the quality level of the estimate. Given the experimental nature of the PCS-PLP and its high degree of non-response, all estimates produced using the web panel should be accompanied by a quality warning to use the estimates with caution.

While data quality is affected by both sampling and non-sampling errors, this section covers quality in terms of sampling error. It is considered a best practice at Statistics Canada to report the sampling error of an estimate through its 95% confidence interval (CI). The confidence interval should be released with the estimate, in the same table as the estimate. In addition to the confidence intervals, PCS-PLP estimates are categorized into one of two release categories:

Category E

The estimate and confidence interval should be flagged with the letter E (or some similar identifier) and accompanied by a quality warning to use the estimate with caution. Data users should use the 95% confidence interval to assess whether the quality of the estimate is sufficient.

Category F

The estimate and confidence interval are not recommended for release. They are deemed of such poor quality, that they are not fit for any use; they contain a very high level of instability, making them unreliable and potentially misleading. If analysts insist on releasing estimates of poor quality, even after being advised of their accuracy, the estimates should be accompanied by a disclaimer. Analysts should acknowledge the warnings given and undertake not to disseminate, present or report the estimates, directly or indirectly, without this disclaimer. The estimates should be flagged with the letter F (or some similar identifier) and the following warning should accompany the estimates and confidence intervals: “Please be warned that these estimates and confidence intervals [flagged with the letter F] do not meet Statistics Canada’s quality standards. Conclusions based on these data will be unreliable, and may be invalid.”

The rules for assigning an estimate to a release category depends on the type of estimate.

Release Rules for Estimated Proportions and Estimated Counts

Estimated proportions and estimated counts are computed from binary variables. Estimated counts are estimates of the total number of persons/households with a characteristic of interest; in other words, they are the weighted sum of a binary variable (e.g., estimated number of immigrants). Estimated proportions are estimates of the proportion of persons/households with a characteristic of interest (e.g., estimated proportion of immigrants in the general population). Estimated counts and proportions can also be computed from categorical variables: that is, estimates of the number or proportion of persons/household who belong to a category.

The release rules for estimated proportions and estimated counts are based on sample size. Table 1 provides the release rules for the PCS-PLP, for all estimated proportions and counts except estimates for visible minorities.

Table 1: General rules for proportions and counts, expect visible minority estimates

Sample Size (n) Release Category Action
n ≥ 200 E Release with quality warning; users should use CI as quality indicator
n < 200 F Suppress the estimate and its CI for quality reasons

For estimated proportions, n is defined as the unweighted count of the number of respondents in the denominator (not the numerator) of the proportion. For estimated counts, n is defined as the unweighted count of the number of respondents with nonzero values that contribute to the estimate.

Special rules for estimates by visible minority

Table 2 provides special release rules that are to be used whenever estimates are produced for a visible minority group (i.e., using VISMIN or VISMINFL). Special rules are required because of the GSS-SI sample design that included an oversample of certain visible minority groups.

Table 2: Special rules for proportions and counts for visible minority estimates

Sample Size (n) Release Category Action
n ≥ 350 E Release with quality warning; users should use CI as quality indicator
n < 350 F Suppress the estimate and its CI for quality reasons

Given the number of respondents to the PCS-PLP, these rules imply that individual visible minority groups cannot be used as domains for analysis based on the PCS-PLP but that analysis by VISMINFL is permissible. On the other hand, given that the experiences of different visible minority groups can be very different from each other, it may not be suitable to produce an estimate for all visible minority groups together (VISMINFL = 1). It is therefore recommended that, even though these estimates should not be disseminated, estimates by the more disaggregated VISMIN categories be compared between them before deciding to group all visible minority groups together.

Release Rules for Means and Totals of Quantitative Variables

The release rules for the estimated means and totals of quantitative variables or amounts are based on the sample size and on the CV of the estimate. Table 3 provides the release rules for the PCS-PLP, except visible minority estimates.

Table 3: General rules for means and totals

Sample Size (n) Release Category Action
n ≥ 200 and CV ≤ 50% E Release with quality warning; users should use CI as quality indicator
n < 200 or CV>50% F Suppress the estimate and its CI for quality reasons

For estimated means, n is defined as the unweighted count of the number of respondents that contribute to the estimate including values of zero. For estimated totals, n is defined as the unweighted count of the number respondents with nonzero values that contribute to the estimate.

Special rules for estimates by visible minority

Table 4 provides special release rules that are to be used whenever estimates are produced for a visible minority group (i.e., using VISMIN or VISMINFL). Special rules are required because of the GSS-SI sample design that included an oversample of certain visible minority groups.

Table 4: Special rules for means and totals for visible minority estimates

Sample Size (n) Release Category Action
n ≥ 350 and CV ≤ 50% E Release with quality warning; users should use CI as quality indicator
n < 350 or CV>50% F Suppress the estimate and its CI for quality reasons

Given the number of respondents to the PCS-PLP, these rules imply that individual visible minority groups cannot be used as domains for analysis based on the PCS-PLP but that analysis by VISMINFL is permissible. On the other hand, given that the experiences of different visible minority groups can be very different from each other, it may not be suitable to produce an estimate for all visible minority groups together (VISMINFL = 1). It is therefore recommended that, even though these estimates should not be disseminated, estimates by the more disaggregated VISMIN categories be compared between them before deciding to group all visible minority groups together.

Release Rules for Differences

In order to assign a release category for an estimated difference between two estimates, the analyst must first determine the release category of each of the two estimates using the rules described above. Next, the release category of the estimated difference or the estimate of change is assigned the lower release category of the two estimates; this can be specified as follows:

  • If one or both estimates are category F estimates, then assign the estimated difference to category F and suppress it.
  • Otherwise, assign the estimated difference to category E and release with a quality warning.

Additional Rules Regarding Confidence intervals

The above release rules should suppress most estimates and confidence intervals of poor quality. There are also two additional conditions that indicate that a confidence interval is of poor quality. An estimate and its confidence interval should be assigned to release category F if either of the following two conditions are true:

  • The lower bound of the 95% confidence interval is equal to the upper bound of the interval; in other words, the confidence interval is of length zero. (Exceptions are if the estimate corresponds to a calibration control total.)
  • The lower bound or upper bound of the 95% confidence interval is not a plausible value for the estimate. For example, the lower bound for an estimated proportion is negative.
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