Why are we conducting this survey?

This survey is conducted by Statistics Canada in order to collect the necessary information to support the Integrated Business Statistics Program (IBSP). This program combines various survey and administrative data to develop comprehensive measures of the Canadian economy.

The statistical information from the IBSP serves many purposes, including:

  • calculating each province and territory's fair share of federal-provincial transfer payments for health, education and social programs
  • establishing government programs to assist businesses
  • assisting the business community in negotiating contracts and collective agreements
  • supporting the government in making informed decisions about fiscal, monetary and foreign exchange policies
  • indexing social benefit programs and determining tax brackets
  • enabling academics and economists to analyze the economic performance of Canadian industries and to better understand rapidly evolving business environments.

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, Québec, 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.

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

Business or organization and contact information

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

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

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

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

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

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

Legal name

Operating name (if applicable)

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

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

First name

Last name

Title

Preferred language of communication

  • English
  • French

Mailing address (number and street)

City

Province, territory or state

Postal code or ZIP code

Country

  • Canada
  • United States

Email address

Telephone number (including area code)

Extension number (if applicable)
The maximum number of characters is 10.

Fax number (including area code)

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
    Why is this business or organization not currently operational?
    • Seasonal operations
      • When did this business or organization close for the season?
        Date
      • When does this business or organization expect to resume operations?
        Date
    • Ceased operations
      • When did this business or organization cease operations?
        Date
      • Why did this business or organization cease operations?
        • Bankruptcy
        • Liquidation
        • Dissolution
        • Other
          Specify the other reasons why the operations ceased
    • Sold operations
      • When was this business or organization sold?
        Date
      • What is the legal name of the buyer?
    • Amalgamated with other businesses or organizations
      • When did this business or organization amalgamate?
        Date
      • 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?
    • Temporarily inactive but will re-open
      • When did this business or organization become temporarily inactive?
        Date
      • When does this business or organization expect to resume operations?
        Date
      • Why is this business or organization temporarily inactive?
    • No longer operating due to other reasons
      • When did this business or organization cease operations?
        Date
      • 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
    Provide a brief but precise description of this business or organization's main activity
    e.g., breakfast cereal manufacturing, shoe store, software development
  • This is not the current main activity

Main activity

5. You indicated that is 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.

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

7. You have indicated that the current main activity of this business or organization is:

Main activity

Are there any other activities that contribute significantly (at least 10%) to this business or organization's revenue?

  • Yes, there are other activities
    Provide a brief but precise description of this business or organization's secondary activity
    e.g., breakfast cereal manufacturing, shoe store, software development
  • No, that is the only significant activity

8. Approximately what percentage of this business or organization's revenue is generated by each of the following activities?

When precise figures are not available, provide your best estimates.

This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Percentage of revenue
Main activity  
Secondary activity  
All other activities  
Total percentage  

Reporting period information

1. What are the start and end dates of this business's or organization's most recently completed fiscal year?

For this survey, the end date should fall between April 1, 2019 and March 31, 2020 .

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

  • May 1, 2018 to April 30, 2019
  • June 1, 2018 to May 31, 2019
  • July 1, 2018 to June 30, 2019
  • August 1, 2018 to July 31, 2019
  • September 1, 2018 to August 31, 2019
  • October 1, 2018 to September 30, 2019
  • November 1, 2018 to October 31, 2019
  • December 1, 2018 to November 30, 2019
  • January 1, 2019 to December 31, 2019
  • February 1, 2019 to January 31, 2020
  • March 1, 2019 to February 28, 2020
  • April 1, 2019 to March 31, 2020 .

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

  • September 18, 2018 to September 15, 2019 ( e.g., floating year-end)
  • June 1, 2019 to December 31, 2019 ( e.g., a newly opened business).

Fiscal year start date

Fiscal year-end 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 - Specify reason the reporting period does not cover a full year

Additional reporting instructions

1. 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

Revenue

1. For the reporting period YYYY-MM-DD to YYYY-MM-DD, what was this business's revenue from each of the following sources?

Notes:

  • a detailed breakdown may be requested in other sections
  • these questions are asked of many different industries. Some questions may not apply to this business

Report dollar amounts in thousands of Canadian dollars.

Revenue

a. Sales of goods and services ( e.g., fees, commissions, services revenue)

Report net of returns and allowances.

Sales of goods and services are defined as amounts derived from the sale of goods and services (cash or credit), falling within a business's ordinary activities. Sales should be reported net of trade discount, value added tax and other taxes based on sales.

Include:

  • sales from Canadian locations (domestic and export sales)
  • transfers to other business units or a head office of your firm.

Exclude:

  • transfers into inventory and consignment sales
  • federal, provincial and territorial sales taxes and excise duties and taxes
  • intercompany sales in consolidated financial statements.

b. Rental and leasing

Include rental or leasing of apartments, commercial buildings, land, office space, residential housing, investments in co-tenancies and co-ownerships, hotel or motel rooms, long and short term vehicle leasing, machinery or equipment, storage lockers, etc.

c. Commissions

Include commissions earned on the sale of products or services by businesses such as advertising agencies, brokers, insurance agents, lottery ticket sales, sales representatives and travel agencies - compensation could also be reported under this item (for example, compensation for collecting sales tax).

d. Subsidies (including grants, donations, fundraising and sponsorships)

Include:

  • non-repayable grants, contributions and subsidies from all levels of government
  • revenue from private sector (corporate and individual) sponsorships, donations and fundraising.

e. Royalties, rights, licensing and franchise fees

A royalty is defined as a payment received by the holder of a copyright, trademark or patent.

Include revenue received from the sale or use of all intellectual property rights of copyrighted materials such as musical, literary, artistic or dramatic works, sound recordings or the broadcasting of communication signals.

f. Dividends

Include:

  • dividend income
  • dividends from Canadian sources
  • dividends from foreign sources
  • patronage dividends.

Exclude equity income from investments in subsidiaries or affiliates.

g. Interest

Include:

  • investment revenue
  • interest from foreign sources
  • interest from Canadian bonds and debentures
  • interest from Canadian mortgage loans
  • interest from other Canadian sources.

Exclude equity income from investments in subsidiaries or affiliates.

h. All other revenue (Include intracompany transfers)

Include amounts not included in questions a. to g.

Total revenue

The sum of sub-questions a. to h.

This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
a. Sales of goods and services  
b. Rental and leasing  
c. Commissions  
d. Subsidies  
e. Royalties, rights, licensing and franchise fees  
f. Dividends  
g. Interest  
h. Other  
Total revenue  

E-commerce

The following questions are about e-commerce activities.

E-commerce revenue: Sales of goods and services conducted over the Internet with or without online payment.

Include all revenue for which an order is received and commitment to purchase is made via the Internet, although payment can be made by other means, such as orders made on web pages, an extranet, mobile devices or Electronic Data Interchange (EDI).

Exclude orders made by telephone, facsimile or email.

Sales from automated kiosks located within the business's establishments are excluded from E-commerce sales.

1. For the reporting period YYYY-MM-DD to YYYY-MM-DD, what was this business's total revenue?

Include:

  • sales of goods and services
  • rental, leasing and property management
  • commissions
  • subsidies, grants, donations, fundraising and sponsorships
  • royalties
  • rights
  • licensing and franchise fees
  • dividends, interest and other revenue.

Report dollar amounts in thousands of Canadian dollars.

Total revenue in CAN$ '000

2. For the reporting period YYYY-MM-DD to YYYY-MM-DD, did this business have any e-commerce revenue?

E-commerce revenue: Sales of goods and services conducted over the Internet with or without online payment.

Include all revenue for which an order is received and commitment to purchase is made via the Internet, although payment can be made by other means, such as orders made on web pages, an extranet, mobile devices or Electronic Data Interchange (EDI).

Exclude orders made by telephone, facsimile or email.

  • Yes
  • No

3. Of the [amount] reported in total revenue, what was the total e-commerce revenue?

When precise figures are not available, provide your best estimates.

Report dollar amounts in thousands of Canadian dollars.

Total e-commerce revenue in CAN$ '000

4. For the reporting period YYYY-MM-DD to YYYY-MM-DD, did this business make sales over the Internet through any of the following methods?

Select all that apply.

  • Mobile app
    Include sales through any app, or application, that is downloaded and designed to run on a handheld device such as a smartphone or tablet (for example, places where a user may download these apps, including Apple's App Store, Google Play or Blackberry App World).
  • Company website
    Include sales through a browser-based website where your organization maintains control of the content.
  • Third-party website
    Include sales through a browser-based website where a third-party maintains the structure of the website and control of the look and feel while your company only provides the product to be sold (for example, Amazon, Expedia or Etsy).
  • Electronic Data Interchange (EDI)
    A standard format for exchanging business data. EDI is based on the use of message standards, ensuring that all participants use a common language.
  • Via a mobile app
  • Via your company website
  • Via a third-party website
  • Via Electronic Data Interchange (EDI)
  • Other - Specify the other methods

5. Does this business have any full-time staff dedicated solely to activities related to e-commerce?

  • Yes
  • No

6. Why did this business not make sales over the Internet?

Select all that apply.

  • Goods and services do not lend themselves to online sales
  • Prefer to maintain current business model
  • Lack of skilled workers to implement and maintain e-commerce infrastructure
  • Cost of development is too high
  • Security concerns
  • Other - Specify the other reasons

Expenses

1. For the reporting period YYYY-MM-DD to YYYY-MM-DD, what were this business's expenses for the following items?

Notes:

  • a detailed breakdown may be requested in other sections
  • these questions are asked of many different industries. Some questions may not apply to this business

Report dollar amounts in thousands of Canadian dollars.

Expenses

a. Cost of goods sold

Many business units distinguish their costs of materials from their other business expenses (selling, general and administrative). This item is included to allow you to easily record your costs/expenses according to your normal accounting practices.

Include:

  • cost of raw materials and/or goods purchased for resale - net of discounts earned on purchases
  • freight in and duty.

Exclude all costs associated with salaries, wages, benefits, commissions and subcontracts (report at Employment costs and expenses, and Subcontracts).

b. Employment costs and expenses

b1. Salaries, wages and commissions

Please report all salaries and wages (including taxable allowances and employment commissions as defined on the T4 - Statement of Remuneration Paid) before deductions for this reporting period.

Include:

  • vacation pay
  • bonuses (including profit sharing)
  • employee commissions
  • taxable allowances ( e.g., room and board, vehicle allowances, gifts such as airline tickets for holidays)
  • severance pay.

Exclude all payments and expenses associated with casual labour and outside contract workers (report at Subcontracts).

b2. Employee benefits

Include contributions to:

  • health plans
  • insurance plans
  • employment insurance
  • pension plans
  • workers' compensation
  • association dues
  • contributions to any other employee benefits such as child care and supplementary unemployment benefit (SUB) plans
  • contributions to provincial and territorial health and education payroll taxes.

c. Subcontracts

Subcontract expense refers to the purchasing of services from outside of the company rather than providing them in-house.

Include:

  • hired casual labour and outside contract workers
  • custom work and contract work
  • subcontract and outside labour
  • hired labour.

d. Research and development fees

Expenses from activities conducted with the intention of making a discovery that could either lead to the development of new products or procedures, or to the improvement of existing products or procedures.

e. Professional and business fees

Include:

  • legal services
  • accounting and auditing fees
  • consulting fees
  • education and training fees
  • appraisal fees
  • management and administration fees
  • property management fees
  • information technology (IT) consulting and service fees (purchased)
  • architectural fees
  • engineering fees
  • scientific and technical service fees
  • other consulting fees (management, technical and scientific)
  • veterinary fees
  • fees for human health services
  • payroll preparation fees
  • all other professional and business service fees.

Exclude service fees paid to Head Office (report at All other costs and expenses).

f. Utilities

Utility expenses related to operating your business unit such as water, electricity, gas and heating.

Include:

  • diesel, fuel wood, natural gas, oil and propane
  • sewage.

Exclude:

  • energy expenses covered in your rental and leasing contracts
  • telephone, Internet and other telecommunications
  • vehicle fuel (report at All other costs and expenses).

g. Office and computer related expenses

Include:

  • office stationery and supplies, paper and other supplies for photocopiers, printers and fax machines
  • postage and courier (used in the day to day office business activity)
  • computer and peripherals upgrade expenses
  • data processing.

Exclude telephone, Internet and other telecommunication expenses (report at Telephone, Internet and other telecommunication).

h. Telephone, Internet and other telecommunication

Include:

  • internet
  • telephone and telecommunications
  • cellular telephone
  • fax machine
  • pager.

i. Business taxes, licenses and permits

Include:

  • property taxes paid directly and property transfer taxes
  • vehicle license fees
  • beverage taxes and business taxes
  • trade license fees
  • membership fees and professional license fees
  • provincial capital tax.

j. Royalties, franchise fees and memberships

Include:

  • amounts paid to holders of patents, copyrights, performing rights and trademarks
  • gross overriding royalty expenses and direct royalty costs
  • resident and non-resident royalty expenses
  • franchise fees.

Exclude Crown royalties

k. Crown charges

Federal or Provincial royalty, tax, lease or rental payments made in relation to the acquisition, development or ownership of Canadian resource properties.

Include:

  • Crown royalties
  • Crown leases and rentals
  • oil sand leases
  • stumpage fees.

l. Rental and leasing

Include:

  • lease rental expenses, real estate rental expenses, condominium fees and equipment rental expenses
  • motor vehicle rental and leasing expenses
  • studio lighting and scaffolding
  • machinery and equipment rental expenses
  • storage expenses
  • road and construction equipment rental
  • fuel and other utility costs covered in your rental and leasing contracts.

m. Repair and maintenance

Include:

  • buildings and structures
  • machinery and equipment
  • security equipment
  • vehicles
  • costs related to materials, parts and external labour associated with these expenses
  • janitorial and cleaning services and garbage removal.

n. Amortization and depreciation

Include:

  • direct cost depreciation of tangible assets and amortization of leasehold improvements
  • amortization of intangible assets e.g., amortization of goodwill, patents, franchises, copyrights, trademarks, deferred charges, organizational costs).

o. Insurance

Insurance recovery income should be deducted from insurance expenses.

Include:

  • professional and other liability insurance
  • motor vehicle and property insurance
  • executive life insurance
  • bonding, business interruption insurance and fire insurance.

p. Advertising, marketing, promotion, meals and entertainment

Include:

  • newspaper advertising and media expenses
  • catalogues, presentations and displays
  • tickets for theatre, concerts and sporting events for business promotion
  • fundraising expenses
  • meals, entertainment and hospitality purchases for clients.

q. Travel, meetings and conventions

Include:

  • travel expenses
  • meeting and convention expenses, seminars
  • passenger transportation ( e.g., airfare, bus, train)
  • accommodations
  • travel allowance and meals while travelling
  • other travel expenses.

r. Financial services

Include:

  • explicit service charges for financial services
  • credit and debit card commissions and charges
  • collection expenses and transfer fees
  • registrar and transfer agent fees
  • security and exchange commission fees
  • other financial service fees.

Exclude interest expenses (report at Interest expense).

s. Interest expense

Report the cost of servicing your company's debt.

Include:

  • interest
  • bank charges
  • finance charges
  • interest payments on capital leases
  • amortization of bond discounts
  • interest on short-term and long-term debt, mortgages, bonds and debentures.

t. Other non-production-related costs and expenses

Include:

  • charitable donations and political contributions
  • bad debt expense
  • loan losses
  • provisions for loan losses (minus bad debt recoveries)
  • inventory adjustments.

u. All other costs and expenses (including intracompany expenses)

Include:

  • production costs
  • pipeline operations, drilling, site restoration
  • gross overriding royalty
  • other producing property rentals
  • well operating, fuel and equipment
  • other lease rentals
  • other direct costs
  • equipment hire and operation
  • log yard expense, forestry costs, logging road costs
  • freight in and duty
  • overhead expenses allocated to cost of sales
  • other expenses
  • cash over/short (negative expense)
  • reimbursement of parent company expense
  • warranty expense
  • recruiting expenses
  • general and administrative expenses
  • interdivisional expenses
  • interfund transfer (minus expense recoveries)
  • exploration and development (including prospect/geological, well abandonment and dry holes, exploration expenses, development expenses)
  • amounts not included in sub-questions a. to t. above.

Total expenses

The sum of sub-questions a. to u.

This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
a. Cost of goods sold  
Opening inventories  
Purchases  
Closing inventories  
Cost of goods sold  
b. Employment costs and expenses  
Salaries, wages and commissions  
Employee benefits  
c. Subcontracts  
d. Research and development fees  
e. Professional and business fees  
f. Utilities  
g. Office and computer related expenses  
h. Telephone, Internet and other telecommunication  
i. Business taxes, licenses and permits  
j. Royalties, franchise fees and memberships  
k. Crown charges  
l. Rental and leasing  
m. Repair and maintenance  
n. Amortization and depreciation  
o. Insurance  
p. Advertising, marketing, promotion, meals and entertainment  
q. Travel, meetings and conventions  
r. Financial services  
s. Interest expense  
t. Other non-production-related costs and expenses  
u. All other costs and expenses  
Total expenses   

Industry characteristics

1. What were this business's sales for each of the following goods and services?

Please report all amounts in thousands of Canadian dollars.

Exclude subsidies, royalties, dividend and interest revenue.

This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Admission receipts  
Golf courses and country clubs  
Skiing facilities  
Fitness and recreational sports centres  
Amusement parks and arcades  
Bowling centres  
Other amusement and recreational facilities  
Marina services  
Spa services  
Corporate and party event services  
Sports and recreation occupation services  
Rental of facilities  
Rental of traveller accommodations  
Rental of recreational goods and equipment  
Repair and maintenance of sporting, fitness and recreational vehicles and equipment  
Registration fees for sports tournaments and matches  
Advertising revenue  
Sales of food and non-alcoholic beverages  
Sales of alcoholic beverages  
Sales of merchandise  
Other  
Total sales of goods and services  

Details on Purchased Services

1. For the reporting period YYYY-MM-DD to YYYY-MM-DD, this business reported expenses for the following items.

Please provide the requested details related to these expenses.

Please report all amounts in thousands of Canadian dollars.

This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Professional and business fees  
Legal services  
Accounting, tax preparation, bookkeeping and payroll services  
Management, scientific and technical consulting services  
Office administrative services  
Freight transportation arrangements and customs brokering services  
Brokerage and other insurance related services  
Security brokerage and securities dealing services  
Other purchased professional services  
Total expenses for professional and business fees  
Office and computer related expenses  
Data processing, hosting, and related services  
Business support services  
Other office and computer related purchased services  
Total expenses for office and computer related expenses  
Royalties, franchise fees and memberships  
Rights to non-financial intangible assets  
Membership fees or services  
Other royalties, franchise fees and memberships  
Total expenses for royalties, franchise fees and memberships  
Rental and leasing  
Non-residential real estate rental  
Motor vehicle rental and leasing  
Computer equipment rental and leasing  
Office machinery and equipment rental and leasing services  
Commercial and industrial machinery and equipment renting and leasing services, without operator  
Other rental services  
Total expenses for rental and leasing  
Repair and maintenance  
Security services and investigation  
Waste management and remediation services  
Motor vehicle repair and maintenance services  
Other repair and maintenance services  
Total expenses for repair and maintenance  

Sales by type of client

1. What was this business's breakdown of sales by the following types of client?

Sales by type of client

This section is designed to measure which sector of the economy purchases your services.

Please provide a percentage breakdown of your sales by type of client.

Please ensure that the sum of percentages reported in this section equals 100%.

a. to c. Clients in Canada

a. Individuals and households

Please report the percentage of sales to individuals and households who do not represent the business or government sector.

b. Businesses

Percentage of sales sold to the business sector should be reported here.

Include sales to Crown corporations.

c. Governments, not-for-profit organizations and public institutions e.g., hospitals, schools)

Percentage of sales to federal, provincial, territorial and municipal governments should be reported here.

Include: sales to hospitals, schools, universities and public utilities.

d. Clients outside Canada

Please report the percentage of total sales to customers or clients located outside Canada including foreign businesses, foreign individuals, foreign institutions and/or governments.

Include sales to foreign subsidiaries and affiliates.

This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Percentage
Clients in Canada — individuals and households  
Clients in Canada — businesses  
Clients in Canada — governments, not-for-profit organizations and public institutions  
Clients outside Canada  
Total percentage  

International transactions - revenue received from exports

1. During the reporting period YYYY-MM-DD to YYYY-MM-DD, did this business receive revenue from clients outside Canada for the sale of products, services, royalties, rights, licensing or franchise fees?

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

  • Yes
  • No

International transactions - revenue received from exports

2. What was the revenue received from clients outside Canada?

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

Revenue received ( CAN$ '000 )

3. What was the percentage breakdown of revenue received from clients outside Canada by goods, services and royalties?

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Percentage
Goods  
Services  
Royalties, rights, licensing and franchise fees  
Total percentage  

4. What was the percentage breakdown of revenue received from clients outside Canada by country?

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Percentage
United States  
Mexico  
Provide the percentage of revenue received from any other countries - top 4 clients only  
Other country 1  
Other country 2  
Other country 3  
Other country 4  
Total percentage  

International transactions - purchases from outside Canada (imports)

5. During the reporting period YYYY-MM-DD to YYYY-MM-DD, did this business make payments to suppliers outside Canada for the purchase of products, services, royalties, rights, licensing or franchise fees?

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

  • Yes
  • No

6. What were the payments made to suppliers outside Canada?

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

Payments made ( CAN$ '000 )

7. What was the percentage breakdown of payments made to suppliers outside Canada by goods, services and royalties?

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Percentage
Goods  
Services  
Royalties, rights, licensing and franchise fees  
Total percentage  

8. What was the percentage breakdown of payments made to suppliers outside Canada by country?

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Percentage
United States  
Mexico  
Provide the percentage of payments made to any other countries - top 4 suppliers only  
Other country 1  
Other country 2  
Other country 3  
Other country 4  
Total percentage  

Changes or events

1. 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.

  • 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

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

Is the provided given names and the provided family name the best person to contact?

  • Yes
  • No

Who is the best person to contact about this questionnaire?

First name:

Last name:

Title:

Email address:

Telephone number (including area code):

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

Fax number (including area code):

Feedback

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

Include the time spent gathering the necessary information.

Hours:

Minutes:

2. Do you have any comments about this questionnaire?

Why are we conducting this survey?

This survey is conducted by Statistics Canada in order to collect the necessary information to support the Integrated Business Statistics Program (IBSP). This program combines various survey and administrative data to develop comprehensive measures of the Canadian economy.

The statistical information from the IBSP serves many purposes, including:

  • calculating each province and territory's fair share of federal-provincial transfer payments for health, education and social programs
  • establishing government programs to assist businesses
  • assisting the business community in negotiating contracts and collective agreements
  • supporting the government in making informed decisions about fiscal, monetary and foreign exchange policies
  • indexing social benefit programs and determining tax brackets
  • enabling academics and economists to analyze the economic performance of Canadian industries and to better understand rapidly evolving business environments.

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, Québec, 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.

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

Business or organization and contact information

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

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

Legal Name

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

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

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

Operating Name

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

  • Legal name
  • Operating name (if applicable)

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

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

  • First name
  • Last name
  • Title
  • Preferred language of communication
    • English
    • French
  • Mailing address (number and street)
  • City
  • Province, territory or state
  • Postal code or ZIP code
  • Country
    • Canada
    • United States
  • Email address
  • Telephone number (including area code)
  • Extension number (if applicable)
    The maximum number of characters is 10.
  • Fax number (including area code)

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
    Why is this business or organization not currently operational?
    • Seasonal operations
      • When did this business or organization close for the season?
        • Date
      • When does this business or organization expect to resume operations?
        • Date
    • Ceased operations
      • When did this business or organization cease operations?
        • Date
      • Why did this business or organization cease operations?
        • Bankruptcy
        • Liquidation
        • Dissolution
        • Other - Specify the other reasons for ceased operations
    • Sold operations
      • When was this business or organization sold?
        • Date
      • What is the legal name of the buyer?
    • Amalgamated with other businesses or organizations
      • When did this business or organization amalgamate?
        • Date
      • 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?
    • Temporarily inactive but will re-open
      • When did this business or organization become temporarily inactive?
        • Date
      • When does this business or organization expect to resume operations?
        • Date
      • Why is this business or organization temporarily inactive?
    • No longer operating due to other reasons
      • When did this business or organization cease operations?
        • Date
      • 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
    • Provide a brief but precise description of this business or organization's main activity
    • e.g., breakfast cereal manufacturing, shoe store, software development
  • This is not the current main activity

Main activity

5. You indicated that is 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.

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

7. You have indicated that the current main activity of this business or organization is:

Main activity

Are there any other activities that contribute significantly (at least 10%) to this business or organization's revenue?

  • Yes, there are other activities
    • Provide a brief but precise description of this business or organization's secondary activity
    • e.g., breakfast cereal manufacturing, shoe store, software development
  • No, that is the only significant activity

8. Approximately what percentage of this business or organization's revenue is generated by each of the following activities?

When precise figures are not available, provide your best estimates.

Approximately what percentage of this business or organization's revenue is generated by each of the following activities?
  Percentage of revenue
Main activity  
Secondary activity  
All other activities  
Total percentage  

Reporting period information

1. What are the start and end dates of this business's or organization's most recently completed fiscal year?

For this survey, the end date should fall between April 1, 2019 and March 31, 2020.

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

  • May 1, 2018 to April 30, 2019
  • June 1, 2018 to May 31, 2019
  • July 1, 2018 to June 30, 2019
  • August 1, 2018 to July 31, 2019
  • September 1, 2018 to August 31, 2019
  • October 1, 2018 to September 30, 2019
  • November 1, 2018 to October 31, 2019
  • December 1, 2018 to November 30, 2019
  • January 1, 2019 to December 31, 2019
  • February 1, 2019 to January 31, 2020
  • March 1, 2019 to February 28, 2020
  • April 1, 2019 to March 31, 2020.

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

  • September 18, 2018 to September 15, 2019 ( e.g., floating year-end)
  • June 1, 2019 to December 31, 2019 ( e.g., a newly opened business).
  • Fiscal year start date
  • Fiscal year-end 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
    • Specify reason the reporting period does not cover a full year

Additional reporting instructions

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

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

$764,000

I will report in the format above

Revenue

1. For the reporting period of YYYY-MM-DD to YYYY-MM-DD, what was this business's revenue from each of the following sources?

Notes:

  • a detailed breakdown may be requested in other sections
  • these questions are asked of many different industries. Some questions may not apply to this business

Report dollar amounts in thousands of Canadian dollars.

Revenue

a. Sales of goods and services ( e.g., fees, commissions, services revenue)

Report net of returns and allowances.

Sales of goods and services are defined as amounts derived from the sale of goods and services (cash or credit), falling within a business's ordinary activities. Sales should be reported net of trade discount, value added tax and other taxes based on sales.

Include:

  • sales from Canadian locations (domestic and export sales)
  • transfers to other business units or a head office of your firm.

Exclude:

  • transfers into inventory and consignment sales
  • federal, provincial and territorial sales taxes and excise duties and taxes
  • intercompany sales in consolidated financial statements.

b. Rental and leasing

Include rental or leasing of apartments, commercial buildings, land, office space, residential housing, investments in co-tenancies and co-ownerships, hotel or motel rooms, long and short term vehicle leasing, machinery or equipment, storage lockers, etc.

c. Commissions

Include commissions earned on the sale of products or services by businesses such as advertising agencies, brokers, insurance agents, lottery ticket sales, sales representatives and travel agencies - compensation could also be reported under this item (for example, compensation for collecting sales tax).

d. Subsidies (including grants, donations, fundraising and sponsorships)

Include:

  • non-repayable grants, contributions and subsidies from all levels of government
  • revenue from private sector (corporate and individual) sponsorships, donations and fundraising.

e. Royalties, rights, licensing and franchise fees

A royalty is defined as a payment received by the holder of a copyright, trademark or patent.

Include revenue received from the sale or use of all intellectual property rights of copyrighted materials such as musical, literary, artistic or dramatic works, sound recordings or the broadcasting of communication signals.

f. Dividends

Include:

  • dividend income
  • dividends from Canadian sources
  • dividends from foreign sources
  • patronage dividends.

Exclude equity income from investments in subsidiaries or affiliates.

g. Interest

Include:

  • investment revenue
  • interest from foreign sources
  • interest from Canadian bonds and debentures
  • interest from Canadian mortgage loans
  • interest from other Canadian sources.

Exclude equity income from investments in subsidiaries or affiliates.

h. All other revenue (Include intracompany transfers)

Include amounts not included in questions

a. to g.

Total revenue

The sum of sub-questions a. to h.

For the reporting period of YYYY-MM-DD to YYYY-MM-DD, what was this business's revenue from each of the following sources?
  CAN$ '000
a. Sales of goods and services Include sales, commissions, rental and leasing revenue if they are this business's primary revenue source.  
b. Rental and leasing Report only if this is a secondary revenue source. If rental and leasing are your primary revenue source, report at question a.  
c. Commissions Report only if this is a secondary revenue source. If commissions are your primary revenue source, report at question a.  
d. Subsidies Include grants, donations, fundraising and sponsorships.  
e. Royalties, rights, licensing and franchise fees  
f. Dividends  
g. Interest  
h. Other Include intracompany transfers. Specify all other revenue:  
Total revenue  

E-commerce

The following questions are about e-commerce activities.

E-commerce revenue: Sales of goods and services conducted over the Internet with or without online payment.

Include all revenue for which an order is received and commitment to purchase is made via the Internet, although payment can be made by other means, such as orders made on web pages, an extranet, mobile devices or Electronic Data Interchange (EDI).

Exclude orders made by telephone, facsimile or email.

Sales from automated kiosks located within the business's establishments are excluded from E-commerce sales.

1. For the reporting period of YYYY-MM-DD to YYYY-MM-DD, what was this business's total revenue?

Include:

  • sales of goods and services
  • rental, leasing and property management
  • commissions
  • subsidies, grants, donations, fundraising and sponsorships
  • royalties
  • rights
  • licensing and franchise fees
  • dividends, interest and other revenue.

Report dollar amounts in thousands of Canadian dollars.

Total revenue in CAN$ '000

2. For the reporting period of YYYY-MM-DD to YYYY-MM-DD, did this business have any e-commerce revenue?

E-commerce revenue: Sales of goods and services conducted over the Internet with or without online payment.

Include all revenue for which an order is received and commitment to purchase is made via the Internet, although payment can be made by other means, such as orders made on web pages, an extranet, mobile devices or Electronic Data Interchange (EDI).

Exclude orders made by telephone, facsimile or email.

  • Yes
  • No

3. Of the [amount] reported in total revenue, what was the total e-commerce revenue?

When precise figures are not available, provide your best estimates.

Report dollar amounts in thousands of Canadian dollars.

Total e-commerce revenue in CAN$ '000

4. For the reporting period of YYYY-MM-DD to YYYY-MM-DD, did this business make sales over the Internet through any of the following methods?

Select all that apply.

Mobile app

Include sales through any app, or application, that is downloaded and designed to run on a handheld device such as a smartphone or tablet (for example, places where a user may download these apps, including Apple's App Store, Google Play or Blackberry App World).

Company website Include sales through a browser-based website where your organization maintains control of the content.

Third-party website Include sales through a browser-based website where a third-party maintains the structure of the website and control of the look and feel while your company only provides the product to be sold (for example, Amazon, Expedia or Etsy).

Electronic Data Interchange (EDI)

A standard format for exchanging business data. EDI is based on the use of message standards, ensuring that all participants use a common language.

  • Via a mobile app
  • Via your company website
  • Via a third-party website
  • Via Electronic Data Interchange (EDI)
  • Other
    • Specify the other methods

5. Does this business have any full-time staff dedicated solely to activities related to e-commerce?

  • Yes
  • No

6. Why did this business not make sales over the Internet?

Select all that apply.

  • Goods and services do not lend themselves to online sales
  • Prefer to maintain current business model
  • Lack of skilled workers to implement and maintain e-commerce infrastructure
  • Cost of development is too high
  • Security concerns
  • Other
    • Specify the other reasons

Expenses

1. For the reporting period of YYYY-MM-DD to YYYY-MM-DD, what were this business's expenses for the following items?

Notes:

  • a detailed breakdown may be requested in other sections
  • these questions are asked of many different industries. Some questions may not apply to this business

Report dollar amounts in thousands of Canadian dollars.

Expenses

a. Cost of goods sold

Many business units distinguish their costs of materials from their other business expenses (selling, general and administrative). This item is included to allow you to easily record your costs/expenses according to your normal accounting practices.

Include:

  • cost of raw materials and/or goods purchased for resale - net of discounts earned on purchases
  • freight in and duty.

Exclude all costs associated with salaries, wages, benefits, commissions and subcontracts (report at Employment costs and expenses, and Subcontracts).

b. Employment costs and expenses

b1. Salaries, wages and commissions

Please report all salaries and wages (including taxable allowances and employment commissions as defined on the T4 - Statement of Remuneration Paid) before deductions for this reporting period.

Include:

  • vacation pay
  • bonuses (including profit sharing)
  • employee commissions
  • taxable allowances ( e.g., room and board, vehicle allowances, gifts such as airline tickets for holidays)
  • severance pay.

Exclude all payments and expenses associated with casual labour and outside contract workers (report at Subcontracts).

b2. Employee benefits

Include contributions to:

  • health plans
  • insurance plans
  • employment insurance
  • pension plans
  • workers' compensation
  • association dues
  • contributions to any other employee benefits such as child care and supplementary unemployment benefit (SUB) plans
  • contributions to provincial and territorial health and education payroll taxes.

c. Subcontracts

Subcontract expense refers to the purchasing of services from outside of the company rather than providing them in-house.

Include:

  • hired casual labour and outside contract workers
  • custom work and contract work
  • subcontract and outside labour
  • hired labour.

d. Research and development fees

Expenses from activities conducted with the intention of making a discovery that could either lead to the development of new products or procedures, or to the improvement of existing products or procedures.

e. Professional and business fees

Include:

  • legal services
  • accounting and auditing fees
  • consulting fees
  • education and training fees
  • appraisal fees
  • management and administration fees
  • property management fees
  • information technology (IT) consulting and service fees (purchased)
  • architectural fees
  • engineering fees
  • scientific and technical service fees
  • other consulting fees (management, technical and scientific)
  • veterinary fees
  • fees for human health services
  • payroll preparation fees
  • all other professional and business service fees.

Exclude service fees paid to Head Office (report at All other costs and expenses).

f. Utilities

Utility expenses related to operating your business unit such as water, electricity, gas and heating.

Include:

  • diesel, fuel wood, natural gas, oil and propane
  • sewage.

Exclude:

  • energy expenses covered in your rental and leasing contracts
  • telephone, Internet and other telecommunications
  • vehicle fuel (report at All other costs and expenses).

g. Office and computer related expenses

Include:

  • office stationery and supplies, paper and other supplies for photocopiers, printers and fax machines
  • postage and courier (used in the day to day office business activity)
  • computer and peripherals upgrade expenses
  • data processing.

Exclude telephone, Internet and other telecommunication expenses (report at Telephone, Internet and other telecommunication).

h. Telephone, Internet and other telecommunication

Include:

  • internet
  • telephone and telecommunications
  • cellular telephone
  • fax machine
  • pager.

i. Business taxes, licenses and permits

Include:

  • property taxes paid directly and property transfer taxes
  • vehicle license fees
  • beverage taxes and business taxes
  • trade license fees
  • membership fees and professional license fees
  • provincial capital tax.

j. Royalties, franchise fees and memberships

Include:

  • amounts paid to holders of patents, copyrights, performing rights and trademarks
  • gross overriding royalty expenses and direct royalty costs
  • resident and non-resident royalty expenses
  • franchise fees.

Exclude Crown royalties

k. Crown charges

Federal or Provincial royalty, tax, lease or rental payments made in relation to the acquisition, development or ownership of Canadian resource properties.

Include:

  • Crown royalties
  • Crown leases and rentals
  • oil sand leases
  • stumpage fees.

l. Rental and leasing

Include:

  • lease rental expenses, real estate rental expenses, condominium fees and equipment rental expenses
  • motor vehicle rental and leasing expenses
  • studio lighting and scaffolding
  • machinery and equipment rental expenses
  • storage expenses
  • road and construction equipment rental
  • fuel and other utility costs covered in your rental and leasing contracts.

m. Repair and maintenance

Include:

  • buildings and structures
  • machinery and equipment
  • security equipment
  • vehicles
  • costs related to materials, parts and external labour associated with these expenses
  • janitorial and cleaning services and garbage removal.

n. Amortization and depreciation

Include:

  • direct cost depreciation of tangible assets and amortization of leasehold improvements
  • amortization of intangible assets ( e.g., amortization of goodwill, patents, franchises, copyrights, trademarks, deferred charges, organizational costs).

o. Insurance

Insurance recovery income should be deducted from insurance expenses.

Include:

  • professional and other liability insurance
  • motor vehicle and property insurance
  • executive life insurance
  • bonding, business interruption insurance and fire insurance.

p. Advertising, marketing, promotion, meals and entertainment

Include:

  • newspaper advertising and media expenses
  • catalogues, presentations and displays
  • tickets for theatre, concerts and sporting events for business promotion
  • fundraising expenses
  • meals, entertainment and hospitality purchases for clients.

q. Travel, meetings and conventions

Include:

  • travel expenses
  • meeting and convention expenses, seminars
  • passenger transportation ( e.g., airfare, bus, train)
  • accommodations
  • travel allowance and meals while travelling
  • other travel expenses.

r. Financial services

Include:

  • explicit service charges for financial services
  • credit and debit card commissions and charges
  • collection expenses and transfer fees
  • registrar and transfer agent fees
  • security and exchange commission fees
  • other financial service fees.

Exclude interest expenses (report at Interest expense).

s. Interest expense

Report the cost of servicing your company's debt.

Include:

  • interest
  • bank charges
  • finance charges
  • interest payments on capital leases
  • amortization of bond discounts
  • interest on short-term and long-term debt, mortgages, bonds and debentures.

t. Other non-production-related costs and expenses

Include:

  • charitable donations and political contributions
  • bad debt expense
  • loan losses
  • provisions for loan losses (minus bad debt recoveries)
  • inventory adjustments.

u. All other costs and expenses (including intracompany expenses)

Include:

  • production costs
  • pipeline operations, drilling, site restoration
  • gross overriding royalty
  • other producing property rentals
  • well operating, fuel and equipment
  • other lease rentals
  • other direct costs
  • equipment hire and operation
  • log yard expense, forestry costs, logging road costs
  • freight in and duty
  • overhead expenses allocated to cost of sales
  • other expenses
  • cash over/short (negative expense)
  • reimbursement of parent company expense
  • warranty expense
  • recruiting expenses
  • general and administrative expenses
  • interdivisional expenses
  • interfund transfer (minus expense recoveries)
  • exploration and development (including prospect/geological, well abandonment and dry holes, exploration expenses, development expenses)
  • amounts not included in sub-questions a. to t. above.

Total expenses

The sum of sub-questions a. to u.

For the reporting period of YYYY-MM-DD to YYYY-MM-DD, what were this business's expenses for the following items?
  CAN$ '000
a. Cost of goods sold  
a1 Opening inventories  
a2 Purchases Include raw materials, goods purchased for resale and non-returnable containers. Exclude change in inventories  
a3 Closing inventories  
a4 Cost of goods sold Opening inventories plus purchases minus closing inventories.  
b. Employment costs and expenses Include all employees who were issued a T4. Exclude commissions to be paid to non-employees, report at sub-question c.  
b1 Salaries, wages and commissions  
b2 Employee benefits  
c. Subcontracts Include commisions to non-employees. Exclude research and development.  
d. Research and development fees Exclude in-house research and development.  
e. Professional and business fees e.g., legal, accounting, consulting, scientific and property management fees  
f. Utilities e.g., electricity, water, gas  
g. Office and computer related expenses e.g., office supplies, postage, computer upgrades  
h. Telephone, Internet and other telecommunication  
i. Business taxes, licenses and permits e.g., beverage tax, business tax, license fees, property taxes  
j. Royalties, franchise fees and memberships Exclude Crown royalties.  
k. Crown charges (for logging, mining and energy industries only)  
l. Rental and leasing Include land buildings, equipment, vehicles.  
m. Repair and maintenance Include buildings, equipment, vehicles.  
n. Amortization and depreciation  
o. Insurance  
p. Advertising, marketing, promotion, meals and entertainment  
q. Travel, meetings and conventions  
r. Financial services e.g., bank charges, transaction fees  
s. Interest expense  
t. Other non-production-related costs and expenses Include bad debts, loan losses, donations, political contributions and inventory write-down.  
u. All other costs and expenses Include intracompany expenses. Specify all other costs and expenses:  
Total expenses  

Industry characteristics

1. What were this business's sales for each of the following goods and services?

Please report all amounts in thousands of Canadian dollars.

Report your gross revenue from the rental and/or operating lease of the following commercial and industrial machinery and equipment (without operator).

Include payments for lease contracts in which the lessor is responsible for maintenance.

Industry characteristics

Please exclude any federal, provincial or territorial sales tax collected for remittance to a government agency.

Sales

Operating leases typically meet certain criteria:

  • rental and leasing agreements finance the acquisition of equipment and machinery for less than their useful economic life
  • the lessee can return the machinery and equipment at the end of the lease term without further obligation to the lessor
  • operators for the machinery and equipment are not provided to the lessee (this does not include repair and maintenance or training services offered by the lessor).

Sales revenues from other types of rental and lease agreements including capital (direct financing) and sales type leases should be reported at Revenue from capital leases.

a. Revenue from rental and/or operating lease agreements for computers and peripherals

Include renting and leasing of computer hardware and peripherals such as printers, modems, scanners, etc.

Exclude:

  • leasing and providing loans to buyers of goods and equipment or to vendors and dealers to finance their inventories (report at Revenue from capital leases)
  • renting and/or leasing residential furniture (report at Other)
  • renting and/or leasing consumer electronics and appliances (report at Other)

b. Revenue from rental and/or operating lease agreements for other office machinery and equipment ( e.g., office furniture)

Include renting and leasing of:

  • business machines such as photocopiers, fax machines, and telecommunication systems
  • office furniture.

Exclude:

  • leasing and providing loans to buyers of goods and equipment or to vendors and dealers to finance their inventories (report at Revenue from capital leases)
  • renting and/or leasing residential furniture (report at Other)
  • renting and/or leasing consumer electronics and appliances (report at Other)

c. Revenue from rental and/or operating lease agreements for machinery and equipment for transportation ( e.g., air, rail and water transportation)

Include renting and leasing of:

  • airplanes and helicopters without pilots
  • chartering of commercial boats ( e.g., steamships, tugboats, etc. ) without operator
  • railway car leasing (except financial).

Exclude:

  • leasing and providing loans to buyers of goods and equipment or to vendors and dealers to finance their inventories (report at Revenue from capital leases)
  • renting and/or leasing air, rail and water transportation equipment with operator
  • renting and/or leasing pleasure boats (report at Other)
  • renting and/or leasing automobiles or trucks (report at Other)

d. Revenue from rental and/or operating lease agreements for heavy machinery and equipment ( e.g., for agriculture, construction, forestry, mining, oil and gas extractions, etc. )

Include renting and/or leasing of:

  • heavy machinery and equipment
  • oil field and oil well drilling machinery and equipment
  • scaffolding (including mobile platforms)
  • construction forms
  • pallets and shipping containers.

Exclude:

  • leasing and providing loans to buyers of goods and equipment or to vendors and dealers to finance their inventories (report at Revenue from capital leases)
  • renting and/or leasing heavy machinery and equipment with operator.

e. Revenue from rental and/or operating lease agreements for other commercial and industrial equipment ( e.g., materials handling, manufacturing, machine tools, power generation, intermodal containers, medical equipment, audio-visual and theatrical equipment, vending machines, etc. )

Include renting and leasing of:

  • construction and temporary road signs
  • communications equipment ( e.g., mobile radio systems and public address systems)
  • diesel generators
  • garbage dumpsters
  • industrial trucks and other types of materials handling machinery and equipment
  • industrial machinery and equipment
  • lottery terminal equipment
  • medical equipment
  • metalworking machinery and equipment
  • motion picture equipment rental (including studio property rental)
  • offshore tool rental
  • painting equipment
  • plumbing equipment
  • restaurant equipment
  • sawmill equipment and machinery
  • sound and lighting machinery and equipment
  • textile machinery and equipment
  • theatrical equipment and scenery (except costumes)
  • vending and other types of coin-operated machines ( e.g., washing machines)
  • welding equipment
  • woodworking equipment.

Exclude:

  • leasing and providing loans to buyers of goods and equipment or to vendors and dealers to finance their inventories (report at Revenue from capital leases)
  • renting and/or leasing commercial and/or industrial machinery and equipment with operator
  • renting and/or leasing automobiles or trucks (report at Other)

f. Revenue from capital (financial) leases

This question refers to revenue from providing capital (financial) or sales type leases. Typically, a capital lease is used to finance machinery and equipment for the major part of its economic life.

During the lease contract, the lessee is responsible for maintenance, interest and principle. After the lease period is over, ownership of the machinery and equipment is transferred to the lessee.

g. Labour charged to customers for repair and maintenance services

Include revenue from the labour associated with installation and set-up fees.

Exclude parts and materials charged to customers (report at Sales or merchandise and other items).

h. Sales of merchandise

Include:

  • sales of new machinery and equipment
  • sales of other non-rental items
  • sales of food and beverages.

Exclude disposal of previously rented and/or leased equipments (report at Net gains or losses from disposal of previous rented and/or leased equipment).

k. Commissions revenue

Include commissions earned from the sale of insurance, etc.

l. Other sales

Include:

  • other types of machinery and equipment rental ( e.g., automobiles and trucks, consumer goods)
  • delivery and freight revenue
  • building, shop and land rental revenue
  • interest revenue
  • bad debt recoveries
  • miscellaneous service rental.
What were this business's sales for each of the following goods and services?
  CAN$ '000
a. Revenue from rental and/or operating lease agreements for computers and peripherals  
b. Revenue from rental and/or operating lease agreements for other office machinery and equipment  
c. Revenue from rental and/or operating lease agreements for machinery and equipment for transportation  
d. Revenue from rental and/or operating lease agreements for heavy machinery and equipment  
e. Revenue from rental and/or operating lease agreements for other commercial and industrial equipment  
f. Revenue from capital (financial) leases  
g. Labour charged to customers for repair and maintenance services  
h. Sales of merchandise and other items  
i. Net gains or losses from disposal of previously rented and/or leased equipment  
j. Gross proceeds from disposal of previously rented and/or leased equipment  
k. Commissions revenue  
l. Other  
Total sales  

Details on Purchased Services

1. For the reporting period of YYYY-MM-DD to YYYY-MM-DD, this business reported expenses for the following items.

Please provide the requested details related to these expenses.

Please report all amounts in thousands of Canadian dollars.

For the reporting period of YYYY-MM-DD to YYYY-MM-DD, this business reported expenses for the following items.
  CAN$ '000
Professional and business fees  
a. Legal services  
b. Accounting, tax preparation, bookkeeping and payroll services  
c. Management, scientific and technical consulting services  
d. Office administrative services  
e. Freight transportation arrangements and customs brokering services  
f. Brokerage and other insurance related services  
g. Security brokerage and securities dealing services  
h. Other purchased professional services  
Total expenses for professional and business fees  
Office and computer related expenses  
a. Data processing, hosting, and related services  
b. Business support services  
c. Other office and computer related purchased services  
Total expenses for office and computer related expenses  
Royalties, franchise fees and memberships  
a. Rights to non-financial intangible assets  
b. Membership fees or services  
c. Other royalties, franchise fees and memberships  
Total expenses for royalties, franchise fees and memberships  
Rental and leasing  
a. Non-residential real estate rental  
b. Motor vehicle rental and leasing  
c. Computer equipment rental and leasing  
d. Office machinery and equipment rental and leasing services  
e. Commercial and industrial machinery and equipment renting and leasing services, without operator  
f. Other rental services  
Total expenses for rental and leasing  
Repair and maintenance  
a. Security services and investigation  
b. Waste management and remediation services  
c. Motor vehicle repair and maintenance services  
d. Other repair and maintenance services  
Total expenses for repair and maintenance  

Sales by type of client

1. What was this business's breakdown of sales by the following types of client?

Sales by type of client

This section is designed to measure which sector of the economy purchases your services.

Please provide a percentage breakdown of your sales by type of client.

Please ensure that the sum of percentages reported in this section equals 100%.

a. to c. Clients in Canada

a. Individuals and households

Please report the percentage of sales to individuals and households who do not represent the business or government sector.

b. Businesses

Percentage of sales sold to the business sector should be reported here.

Include sales to Crown corporations.

c. Governments, not-for-profit organizations and public institutions ( e.g., hospitals, schools)

Percentage of sales to federal, provincial, territorial and municipal governments should be reported here.

Include: sales to hospitals, schools, universities and public utilities.

d. Clients outside Canada

Please report the percentage of total sales to customers or clients located outside Canada including foreign businesses, foreign individuals, foreign institutions and/or governments.

Include sales to foreign subsidiaries and affiliates.

What was this business's breakdown of sales by the following types of client?
  Percentage
Clients in Canada - individuals and households  
Clients in Canada - businesses  
Clients in Canada - governments, not-for-profit organizations and public institutions  
Clients outside Canada  
Total percentage  

Sales by consumer location

1. What was the percentage breakdown of this business's sales by consumer location?

Consumer location is the location where the goods or services will ultimately be used.

If ultimate consumer location is not known, the following are acceptable substitutes:

  • shipping destination
  • client's billing address
  • location of this business's retail customers
  • location of this business's warehouse/distribution centres.
What was the percentage breakdown of this business's sales by consumer location?
  Percentage
Newfoundland and Labrador  
Prince Edward Island  
Nova Scotia  
New Brunswick  
Quebec  
Ontario  
Manitoba  
Saskatchewan  
Alberta  
British Columbia  
Yukon  
Northwest Territories  
Nunavut  
United States  
All other countries  
Total percentage  

International transactions - revenue received from exports

1. During the reporting period of YYYY-MM-DD to YYYY-MM-DD, did this business receive revenue from clients outside Canada for the sale of products, services, royalties, rights, licensing or franchise fees?

International transactions

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

  • Yes
  • No

2. What was the revenue received from clients outside Canada?

International transactions

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

Revenue received ( CAN$ '000 )

3. What was the percentage breakdown of revenue received from clients outside Canada by goods, services and royalties?

International transactions

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

What was the percentage breakdown of revenue received from clients outside Canada by goods, services and royalties?
  Percentage
Goods  
Services  
Royalties, rights, licensing and franchise fees  
Total percentage  

4. What was the percentage breakdown of revenue received from clients outside Canada by country?

International transactions

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

What was the percentage breakdown of revenue received from clients outside Canada by country?
  Percentage
United States  
Mexico  
Provide the percentage of revenue received from any other countries - top 4 clients only  
Other country 1  
Other country 2  
Other country 3  
Other country 4  
Total percentage  

International transactions - purchases from outside Canada (imports)

5. During the reporting period of YYYY-MM-DD to YYYY-MM-DD, did this business make payments to suppliers outside Canada for the purchase of products, services, royalties, rights, licensing or franchise fees?

International transactions

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

  • Yes
  • No

6. What were the payments made to suppliers outside Canada?

International transactions

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

Payments made ( CAN$ '000 )

7. What was the percentage breakdown of payments made to suppliers outside Canada by goods, services and royalties?

International transactions

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

What was the percentage breakdown of payments made to suppliers outside Canada by goods, services and royalties?
  Percentage
Goods  
Services  
Royalties, rights, licensing and franchise fees  
Total percentage  

8. What was the percentage breakdown of payments made to suppliers outside Canada by country?

International transactions

This section is intended to measure the value of international transactions on goods, services, royalties and licensing fees. It covers imported services and goods purchased outside Canada as well as the value of exported services and goods to clients/customers outside Canada. Please report also royalties, rights, licensing and franchise fees paid to and/or received from outside Canada. Services cover a variety of industrial, professional, trade and business services.

What was the percentage breakdown of payments made to suppliers outside Canada by country?
  Percentage
United States  
Mexico  
Provide the percentage of payments made to any other countries - top 4 suppliers only  
Other country 1  
Other country 2  
Other country 3  
Other country 4  
Total percentage  

Changes or events

1. 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.

  • 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

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

Is the provided given names and the provided family name the best person to contact?

  • Yes
  • No

Who is the best person to contact about this questionnaire?

  • First name:
  • Last name:
  • Title:
  • Email address:
  • Telephone number (including area code):
  • Extension number (if applicable):
  • The maximum number of characters is 5.
  • Fax number (including area code):

Feedback

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

Include the time spent gathering the necessary information.

  • Hours:
  • Minutes:

2. Do you have any comments about this questionnaire?

Video - Visualizing Vector Data (Part 2): Rule-Based Visualizations and Labelling

Catalogue number: Catalogue number: 89200005

Issue number: 2020010

Release date: November 19, 2020

QGIS Demo 10

Visualizing Vector Data (Part 2) - Rule-Based Visualizations and Labelling - Video transcript

(The Statistics Canada symbol and Canada wordmark appear on screen with the title: "Visualizing Vector Data (Part 2) - Rule-Based Visualizations and Labelling")

Welcome back everyone. So following up from Part 1 of Visualizing Vector Data where we explored the application of symbology styles to different field types.

Today we'll apply rule-based visualizations, including both symbologies and labelling schemes. These styles can be used to assign different visualization parameters to features in a layer based on their attributes, such as using different fields, symbols or formatting for visualization. We'll use the rules to create a scale-dependent visualization of feature classes in the CPRoads layer.

Additionally, we'll discuss the use of available symbology file formats and how to load them to vector datasets. This will enable you to rapidly visualize datasets, including those in other locations or collection periods that share the same parameters, as well as share your visualization styles with others.

We'll conclude with additional labelling procedures, such as developing multi-field and conditional labelling expressions.

Double left click the CPRoads layer to open the Layer Properties box. In the Symbology tab, we'll begin by applying a Categorized style to the Class field created in the Field Calculator demo and click Classify to add them to the tab. The Categorized style is being used to establish the Symbol and Legend Values prior to switching to the Rule-Based style.

We can left-click and drag to reorder classes in the tab. We'll place them in ascending order to ensure that larger classes do not obscure the visualization of smaller classes. With them in Ascending order, we can now select Recreational through Arterial, holding shift between left-clicks, then right-click and select Change Colour – which we'll alter to Black. Repeating with the Ramps and Highways class, we'll alter the colour to Red. And just like the Graduated Symbology applied to grain elevators in the previous demo, we'll adjust the line widths for each class, double-left clicking to open the Symbol Selector. For Lane we'll apply a width of 0.2, Local a width of 0.3 and Collector a width of 0.8. Then we can select Arterial and Ramp together and edit the line widths to 1. Finally for our Highways class we can use a width of 1.5.

So with the visualization and legend values established now we can switch to the rule-based style. This will add a few additional parameters including Rule, Min and Max Scale columns. Select an entry and click on the Pencil icon or double left click it to open the Edit Rule box. Here we'll replace current rules with the original expressions used to create the Class field.And this is so we can apply the visualization not only to the CPRoads layer but to the original Road_Segments layer in Manitoba as well as those in other provinces that have the same visualization parameters. Clicking the Expression box, we'll replace the rule with "road_class" > 316 AND "road_class" < 321 for the Recreational class. And we'll copy the last component of the expression for parametrizing our other classes. Clicking OK. Check the Scale Range box. And for the Minimum scale, beyond which visualization is suspended, select 50,000 from the drop-down. We'll set the Maximum scale to 0, as we do not want to suspend rendering as we zoom in further.

Optionally, we can also single left click to edit rules in-situ within the symbology tab. So Lane classes corresponded to values of 307 OR 321. And we'll enter 100,000 for the minimum scale. I'll enter the remaining expressions and minimum scale values, specified in the video description.

So now we can click Apply and OK and take a look at our dynamic visualization of different road classes. With the current scale slightly greater than 1 in 1 million, all we can see is our highways. But zooming in slightly further, the Collector and Arterial classes appear, and even further the Lane and Local classes.

Now let's select the rules from the Symbology tab, copy using Ctrl C, and then Paste them into the Labels tab after selecting Rule-Based from the drop-down. For both the Symbology and Labels tab we can add new rules using the plus icon and parametrize them in the Edit Rule box. Individual rules can also be suspended by toggling them off or completely removed with the minus icon. We'll remove our Recreational and Ramp classes for labelling. We still need to open the edit rule box for each entry, first to check the Label box feature and specify the field used in labelling. Additionally, we will want to apply smaller minimum scale values for our labels.

So double-left clicking the Lane class, check the Labels box and select "official_s" field from the drop-down. This will label our features by the full road name. Copy the label field, which we'll paste for our other classes. So, we'll increase the text size by 1 in ascending order, so for Lane leave the default size of 10. We'll apply text buffers that match the line widths applied to each class back in the rule-based symbology. And for the Placement, there is a variety of options which vary between vector geometry types. For Local and Lane Classes we'll use Curved – the others using Parallel, and for all classes we'll switch Placement from Above to On Line. We can specify the Maximum Angle between characters at the bottom of the tab. Finally we'll alter the minimum scale to 1 in 50,000 for our Lane class. I'll parametrize the remaining classes and then we'll restart. As noted we can also use the rule-based style to apply different fields in visualization. So, for our Highway class, lets use the Route_Numb field. Change the Font Size to 14. Instead of a text buffer we'll apply a text-background, selecting Ellipse from the Shape drop-down and applying a buffer of 0.5 around the text. Change the fill colour to blue and the outline to red, with a width of 0.25. Finally, as specified earlier change the Placement from Above to On Line. Now let's examine the visualization.

So as we can see, there's many repeating labels, since it's a roads segments file – where each line between junctions is a separate entry in the attribute table. And this results in a messy appearance. Therefore, there are two options – in the Rendering tab, scrolling down to the bottom we can select Merge Connected Lines to Remove Duplicate labels. This will remove most repeating labels. Alternatively we can use the Dissolve Tool and select the "official_s" field, which will combine roads with the same name into one feature. So we'll use the Dissolve tool to ensure that all duplicates are removed. Multiple fields can be specified for Dissolving as needed, such as ensuring that different roads with the same name are not combined.

Rather than re-entering the rules for our Dissolved layers, simply copy and paste the style from the CPRoads layer. Use All Categories to ensure that both the symbology and labels are retained. So this enables rapid visualization between layers so long as they are of the same geometry type and share the same visualization parameters. If we decided we only want to apply labelling or symbology scheme, the visualization parameters can also be specified when pasting.

So toggling the Dissolved layer on and CPRoads off , we can see that all duplicates have been removed – significantly improving the visualization. Zooming in further we can begin to see our curved labels for the Lane and Local classes.

So now let's discuss the symbology styles for saving our visualizations. There are a few file formats available in QGIS with different uses. The two main types for vectors are under the Export options.

The first is the Layer Definition File or .qlr. This format is explicitly tied to the source dataset. So save the file in the same directory as the source layer. And the definition file can then be loaded directly into QGIS. Simply double-left click to load it in to the Layers Panel with the pre-defined visualization parameters, including both the symbology and labels. The same should apply when loading the source layer. For this layer I used the Merge Connected Lines in the Labels Rendering sub-tab. Zooming out we can see that most, but not all duplicates have been removed.

The second format, the QGIS Layer Style File or .qml, is similar. It saves the visualization parameters but is not tied to the source dataset. Thus, it is helpful for sharing visualizations with others, or applying created visualizations to the same dataset in a different location or time period. To load this file go in to the Layer Properties box, click the Style tab and Load Style. The specific visualization parameters can be specified in the Categories box. Then locate and load it from directory. We can copy and paste the style to the Ontario Road Segments file. And now the visualization is applied across Manitoba and Ontario, with the dynamic rendering as we zoom in and out. So this underscores the utility of these visualization files.

Within the Symbology tab we can also save edited or created colour ramps. This format is not tied to any layer. But, saved colour ramps can be accessed from the Color Ramp drop-down. For example, I inverted the Spectral colour ramp and saved it as a Temperature colour ramp with Add to Favorites checked, meaning it's immediately accessible in the first Colour Ramp drop-down. I also saved the Heat Map style from our Grain Elevators layer in the previous demo, with Favourites unchecked, so it's in the expanded All Colour Ramps side-bar.

Now for the final component let's use expression syntax to generate multi-field labels and conditional labelling schemes. For the first we'll select the Grain Elevators layer and open the Field Calculator.

We'll provide the name MFLabel for the field name, change the type to text with a length of 100. Expand the Fields and Values drop-downs to see the available fields. Now we can enter generic text components with single quotes, staring with Oper colon space closed quote for the rail operator. Then use the two vertical dash lines (||) to separate different components of the expression, here adding the Railway field. Adding the separators again, single quote and hit Enter twice, and then type Co – colon - space and close quote, followed by the separators and the Company_Consolidated field. Finally, we'll add a comma and a space enclosed by single quotes, then the separators and the PR field. We can now see an example of the label in the Preview output.

So now open the Layer Properties box, and in the Labels tab select Single Labels and then the MFLabel field at the bottom of the drop-down. Once again we can specify a text-size and a buffer. In the Placement tab, we'll set where the labels should be placed, which as noted varies between geometry types. Cartographic could be used for mapping but may increase rendering times. Here we'll use the Offset from Point and specify the Centre. Based on the spacing in our label, this should place our label above and below the points. For the Rendering tab add a minimum scale of 1 in 500,000, then click OK.

Zooming in beyond the Minimum Scale value, our multi-field labels appear for each elevator – indicating the railway operator, company and abbreviated province. This can be reapplied to any layers, fields and vector geometry types to provide key information in labelling.

Now let's explore conditional labelling, used to label features with certain criteria or specified attributes. Toggle on and open the CPRoads' Layer Properties Box and switch to Single Labels. Click the Expression button beside the Label. And expanding the Conditionals drop-down double-left click CASE, and examine the syntax on the right. So once it's added to the Expression box, we can now specify the criteria or conditions. In general, its CASE WHEN, then you need to specify the conditions, what to do when the conditions are satisified, and what to do otherwise, adding ELSE. Here we'll use the Class field and the IN operator, adding Arterial, Collector and Highway classes to label our major road features. Now we need to specify the labelling field after THEN, selecting route_num from the Fields and Values drop-down. Finally we need to specify what to do with the other features, after ELSE we can add NULL. Now we can click Apply and OK.

Though all of our Highway features are now labelled by their route numbers. However, the Collector and Arterial roads are not labelled since they lack route numbers. So lets add another conditional expression, an IF statement, to the label after THEN. So the format for IF statements is specifying the criteria, then entering what to do when it's true, followed by what to do if it's FALSE separated by commas. So here we'll specify if the Route Number is NOT NULL, label by the Route Number, otherwise use the Speed_Rest field – which we populated in the Field Calculator demo.

So now all of our specified classes are being labelled. This is not a particularly aesthetically pleasing visualization, but does demonstrate that we can use expressions to specify the attributes or conditions for which labels should be generated. Further, we can nest expressions within one another to ensure the specific attributes and label parameters of interest are used. Apply these expression skills to other datasets in specifying the conditions and attributes to use.

In this demo, we covered rule-based symbologies and labelling schemes. We also learned how to copy and paste styles, as well as save and load symbology files to rapidly visualize vector datasets. Finally, we explored labels in greater detail including using expressions to create multi-field and conditional labelling schemes. Apply these skills for parametrizing, saving and sharing vector visualizations. These skills are fundamental to creating logical, easily interpretable visualizations and maps of spatial data. In the next tutorial we'll cover procedures for joining datasets by attributes, including one-to-one and one-to-many joins.

(The words: "For comments or questions about this video, GIS tools or other Statistics Canada products or services, please contact us: statcan.sisagrequestssrsrequetesag.statcan@canada.ca" appear on screen.)

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Description of farm family income components

Total income: The sum of net operating income and off‑farm income of each taxfiling member of a family involved in a single farm, either a single unincorporated farm or a single incorporated farm.

Off-farm income: The sum of employment income, investment income, pension income, and total other income.

Employment income: The sum of wages and salaries and net non-farm self-employment income.

Wages and salaries: The sum of gross wages and salaries before deductions (including commission income) as per T4 slips, and other employment income such as tips and gratuities. Total wages and salaries also includes tax-exempt employment income earned on an Indian reserve.

Net non-farm self-employment income: Business income, professional income, commission income and fishing income, on a net basis. The net income is the amount reported after expenses and costs are deducted from the gross income.

Investment income: The sum of net rental income, net limited partnership income, the amount of dividends actually received from taxable Canadian corporations (excluding dividends received from the farming corporations), and interest and other investment income.

Pension income: Old Age Security pension, Canada or Quebec Pension Plan benefits, other pensions and superannuation, and net federal supplements. Since 2007, spouses or common-law partners may jointly elect to split pension income. To avoid double-counting, the amount reported by the pension transferee is not included in the estimates, as the full pension amount has been reported by the pensioner.

Total other income: The sum of government social transfers (excluding pension amounts) and other income.

Government social transfers (excluding pension amounts): Employment Insurance and other benefits, Workers' compensation benefits, social assistance payments, Canada Child Tax Benefit (CCTB), Universal Child Care Benefit (UCCB) and provincial family benefits. Both the CCTB and UCCB ended in June 2016 and were replaced by the Canadian Child Benefit (CCB).

Other income: Registered disability savings plan (RDSP) income, taxable amount of support payments received, items reported on line 130 of the T1 tax return such as scholarships, fellowships and bursaries, lump-sum payments from pensions and deferred profit-sharing plans received when leaving a plan, retiring allowances (severance pay), death benefits (other than CPP or QPP death benefits), withdrawals from AgriInvest account (Fund 2) by unincorporated operators, and other income (such as registered education savings plan income and training allowances). Registered retirement savings plan (RRSP) income of people aged 65 or older is also included.

Net operating income: The profit or loss of the farm operation measured by total operating revenues minus total operating expenses, excluding capital cost allowance or amortization of tangible assets, the value of inventory adjustments and other adjustments for tax purposes. The net operating income of the farm is multiplied by the family's share in the corporation or the partnership. The net operating income is also equal to the sum of net program payments and net market income.

Net program payment: Program payments and insurance proceeds after deducting stabilization levies or fees (government levies).

Net market income: Total operating revenues minus total operating expenses minus net program payments.

Total income adjusted for capital cost allowance (CCA) or amortization of tangible assets: The sum of net operating income adjusted for capital cost allowance or amortization of tangible assets and off-farm income of each taxfiling member of a family involved in a single farm, either a single unincorporated farm or a single incorporated farm.

Adjustment for capital cost allowance (CCA) or amortization of tangible assets: The amount of the adjustment for capital cost allowance or amortization of tangible assets.

Capital cost allowance (CCA): A tax term for depreciation used to define the portion of the cost of the depreciable property, such as equipment and buildings, that is tax-deductible. After the calculation of the capital cost allowance, farmers may deduct any amount up to the maximum allowable.

Amortization of tangible assets: Includes amortization of leasehold improvements and amounts referred to as depreciation. Depreciation is a term used to define the loss in value of an asset over its estimated life due to wear and tear and obsolescence.

Net operating income adjusted for capital cost allowance (CCA) or amortization of tangible assets: The net operating income minus the adjustment for capital cost allowance or amortization of tangible assets. The net operating income of the farm adjusted for CCA or amortization of tangible assets is multiplied by the family's share in the corporation or the partnership.

Net market income adjusted for capital cost allowance (CCA) or amortization of tangible assets: Total operating revenues minus total operating expenses including capital cost allowance or amortization of tangible assets minus net program payments.

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Data - RTRA

Administrative data

Statistics available – Frequencies

Canadian Cancer Registry (CCR)
Survey details
CCR 1992-2015
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCR CCR 5 WEIGHT
  • PPROVBIR
  • PDPROVBIR
  • PDCOUNBIR
  • TPIN
  • TTRN
  • TPLACRES
  • TPOSTCOD
  • TCODPLAC
  • TCENTRAC
  • TMETHDIAG
  • TMETHUSED
  • TMETHCONF
  • PDATBIR
Canadian Emergency Response Benefit (CERB)
Survey details
CERB 2020
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CERB2020 CERB2020 10 WEIGHT
  • GEO_SOURCE
  • LOCAL
  • PCODE
  • PRCD
  • SACTYPE
  • CMA
  • CMACA
  • CTNAME
  • SGC
  • CSDTYPE
  • PRCDDA
  • EIER_REAE
  • PRER
  • NAICS_BR2019
  • ERB_ID
  • BUS_SIZE1
  • BUS_SIZE2
  • BUS_ID
  • CERB_EW1 to CERB_EW38
Canadian Survey on Business Conditions (CSBC)
Survey details
CSBC 2020 Quarter 2
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2020Q2 CSBC2020Q2 10 CWEIGHT  
CSBC 2020 Quarter 3
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2020Q3 CSBC2020Q3 10 CWEIGHT  
CSBC 2021 Quarter 1
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2021Q1 CSBC2021Q1 10 CWEIGHT  
CSBC 2021 Quarter 2
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2021Q2 CSBC2021Q2 10 CWEIGHT  
CSBC 2021 Quarter 3
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2021Q3 CSBC2021Q3 10 CWEIGHT  
CSBC 2021 Quarter 4
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2021Q4 CSBC2021Q4 10 CWEIGHT  
CSBC 2022 Quarter 1
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2022Q1 CSBC2022Q1 10 CWEIGHT  
CSBC 2022 Quarter 2
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2022Q2 CSBC2022Q2 10 CWEIGHT  
CSBC 2022 Quarter 3
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2022Q3 CSBC2022Q3 10 CWEIGHT  
CSBC 2022 Quarter 4
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2022Q4 CSBC2022Q4 10 CWEIGHT  
CSBC 2023 Quarter 1
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2023Q1 CSBC2023Q1 10 CWEIGHT  
CSBC 2023 Quarter 2
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2023Q2 CSBC2023Q2 10 CWEIGHT  
CSBC 2023 Quarter 3
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2023Q3 CSBC2023Q3 10 CWEIGHT  
CSBC 2023 Quarter 4
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2023Q4 CSBC2023Q4 10 CWEIGHT  
CSBC 2024 Quarter 1
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2024Q1 CSBC2024Q1 10 CWEIGHT  
CSBC 2024 Quarter 2
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2024Q2 CSBC2024Q2 10 CWEIGHT  
CSBC 2024 Quarter 3
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSBC2024Q3 CSBC2024Q3 10 CWEIGHT  
Canadian Vital Statistics – Birth Database (CVSB)
Survey details
CVSB 2021
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CVSB2021 CVSB2021 5 WEIGHT
  • RESIDENCE_POSTALCODE
  • PLACEOFBIRTH_CENSUSDIVISION
  • PLACEOFBIRTH_CENSUSSUBDIVISION
  • BIRTH_DAY
  • MOTHER_BIRTH_DAY
  • FATHER_BIRTH_DAY
  • CERTIFICATION_DAY
CVSB 2023
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CVSB2023 CVSB2023 5 WEIGHT
  • RESIDENCE_POSTALCODE
  • PLACEOFBIRTH_CENSUSDIVISION
  • PLACEOFBIRTH_CENSUSSUBDIVISION
  • BIRTH_DAY
  • MOTHER_BIRTH_DAY
  • FATHER_BIRTH_DAY
  • CERTIFICATION_DAY
Canadian Vital Statistics – Death Database (CVSD)
Survey details
CVSD 2021
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CVSDDD CVSDDD 5 WEIGHT
  • RECORD_STATUS
  • REGISTRATION_NUMBER
  • IMP090R
  • IMP100R
  • IMP110R
  • IMP120R
  • IMP140R
  • PLACEOFDEATH_CITY
  • PLACEOFDEATH_CENSUSDIVISION
  • PLACEOFDEATH_CENSUSSUBDIVISION
  • RESIDENCE_CENSUSDIVISION
  • RESIDENCE_CENSUSSUBDIVISION
  • RESIDENCE_POSTALCODE
  • DEATH_DAY
  • BIRTH_DAY CERTIFICATION_DAY
CVSD 2022
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CVSDDD CVSD2022 5 WEIGHT
  • RECORD_STATUS
  • REGISTRATION_NUMBER
  • IMP090R
  • IMP100R
  • IMP110R
  • IMP120R
  • IMP140R
  • PLACEOFDEATH_CITY
  • PLACEOFDEATH_CENSUSDIVISION
  • PLACEOFDEATH_CENSUSSUBDIVISION
  • RESIDENCE_CENSUSDIVISION
  • RESIDENCE_CENSUSSUBDIVISION
  • RESIDENCE_POSTALCODE
  • DEATH_DAY
  • BIRTH_DAY
  • CERTIFICATION_DAY
Homicide Survey
Survey details
Homicide Survey
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
HOMICIDE
  • CSC_1961_1973
  • CSC_1974_1983
  • CSC_1984_1993
  • CSC_1994_2003
  • CSC_2004_2013
  • INC_1961_1973
  • INC_1974_1983
  • INC_1984_1993
  • INC_1994_2003
  • INC_2004_2013
  • VICTIM_1961_1973
  • VICTIM_1974_1983
  • VICTIM_1984_1993
  • VICTIM_1994_2003
  • VICTIM_2004_2013
  • POPS_BYCANPROV_1961_1973
  • POPS_BYCANPROV_1974_1983
  • POPS_BYCANPROV_1984_1993
  • POPS_BYCANPROV_1994_2003
  • POPS_BYCANPROV_2004_2013
  • POPS_BYRESP_1961_1973
  • POPS_BYRESP_1974_1983
  • POPS_BYRESP_1984_1993
  • POPS_BYRESP_1994_2003
  • POPS_BYRESP_2004_2013
3 WEIGHT  
Postsecondary Student Information System (PSIS)
Survey details
PSIS
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PSIS
  • ENROLMENT
  • GRADUATE
5 WEIGHT  
Postsecondary Student Information System – Non Institutional (PSISNOINST)
Survey details
PSISNOINST
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PSISNOINST
  • ENROLMENT
  • GRADUATE
5 WEIGHT  
Registered Apprenticeship Information System (RAIS)
Survey details
RAIS 1991-2008
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
RAIS199108 RAIS 5 WEIGHT
  • RAIS2_FTPTSTAT_CODE
  • RAIS2_HIGEDLEV_CODE
  • RAIS2_TRAINING_CODE
  • RANDOM_NUMBER
  • DURHOURS_MEASURE
  • DURHOURS_MEASURE_COUNT
  • DURPGM_MEASURE
  • DURPGM_MEASURE_COUNT
  • INICREDR_MEASURE
  • INICREDR_MEASURE_COUNT
  • TOTHCOMP_MEASURE
  • TOTHCOMP_MEASURE_COUNT
RAIS 2009-2018
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
RAIS200918 RAIS 5 WEIGHT
  • RAIS2_FTPTSTAT_CODE
  • RAIS2_HIGEDLEV_CODE
  • RAIS2_TRAINING_CODE
  • RANDOM_NUMBER
  • DURHOURS_MEASURE
  • DURHOURS_MEASURE_COUNT
  • DURPGM_MEASURE
  • DURPGM_MEASURE_COUNT
  • INICREDR_MEASURE
  • INICREDR_MEASURE_COUNT
  • TOTHCOMP_MEASURE
  • TOTHCOMP_MEASURE_COUNT
RAIS 2019-2028
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
RAIS201928 RAIS 5 WEIGHT
  • RAIS2_AGE_CODE
  • RAISHIST_DATECERT_YYYYMM_CODE
  • RAISHIST_DATEREG_YYYYMM_CODE
  • RAIS2_DURHOURS_CODE
  • RAIS2_PREAPTGD_YYYY_CODE
  • RAIS2_PRECERTRAIS_CODE
  • RAIS2_PRECERTRAIS_SUBTRADE_CODE
  • RAIS2_PREAPTGRAIS_CODE
  • RAIS2_TRADERAIS_CODE
  • RAIS2_SUBTRADE_CODE
  • RAIS2_MAJOR_TRADE_CODE
  • RAIS2_OCCUPATION_CODE
  • RANDOM_NUMBER
  • DURHOURS_MEASURE_COUNT
  • DURPGM_MEASURE_COUNT
  • INICREDR_MEASURE_COUNT
  • TOTHCOMP_MEASURE_COUNT
  • RAIS2_DURPGM_CODE
  • RAIS2_FTPTSTAT_CODE
  • RAIS2_HIGEDLEV_CODE
  • RAIS2_INICREDR_CODE
  • RAIS2_TOTHCOMP_CODE
  • RAIS2_TRAINING_CODE
Uniform Crime Reporting Survey (UCR)
Survey details
UCR
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
UCR
  • INC2008
  • INC2009
  • INC2010
  • INC2011
  • INC2012
  • SINGLE_ACCUSED2008
  • SINGLE_ACCUSED2009
  • SINGLE_ACCUSED2010
  • SINGLE_ACCUSED2011
  • SINGLE_ACCUSED2012
  • VIC2008
  • VIC2009
  • VIC2010
  • VIC2011
  • VIC2012
  • CSC2008
  • CSC2009
  • CSC2010
  • CSC2011
  • CSC2012
5 WEIGHT  

Crowdsourcing data

Statistics available – Proportions

Impacts of COVID-19 on Canadians (ICC)
Survey details
ICC2020
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
ICC2020 ICC 10 WEIGHT
  • COLLWK
  • VERDATE
  • DEM_15
  • CMA
  • CT
  • CSDUID
  • MASTERID
  • DEM_05
ICC2020MH
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
ICC2020MH ICC 10 WEIGHT
  • VERDATE
  • DEM_15
  • CMA
  • CT
  • CSDUID
  • MASTERID
  • DEM1_35
  • DEM_05
  • IMMYR
ICC2020PS
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
ICC2020PS ICC 10 WEIGHT
  • VERDATE
  • DEM_15
  • CMA
  • CT
  • CSDUID
  • MASTERID
  • DEM1_35
  • DEM_05
  • IMMYR
ICC2020TIO
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
ICC2020TIO ICC 10 WEIGHT
  • VERDATE
  • DEM_15
  • CMA
  • CT
  • CSDUID
  • MASTERID
  • DEM1_35
  • DEM_05
  • IMMYR
ICC2020PDP
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
ICC2020PDP ICC 10 WEIGHT
  • VERDATE
  • RESPLANG
  • DEM_15
  • CMA
  • CT
  • CSDUID
  • MASTERID
  • DEM1_35
  • DEM_05
  • IMMYR
ICC2020LTC
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
ICC2020LTC ICC 10 WEIGHT
  • VERDATE
  • RESPLANG
  • DEM_15
  • CMA
  • CT
  • CSDUID
  • MASTERID
  • DEM_05
ICC2020ED
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
ICC2020ED ICC 10 WEIGHT
  • VERDATE
  • RESPLANG
  • DEM_15
  • CMA
  • CT
  • CSDUID
  • MASTERID
  • DEM1_35
  • DEM_05
  • IMMYR

Social data

Statistics available – All

Aboriginal Children's Survey (ACS)
Survey details
ACS 2006
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
ACS2006 ACS2006 20 WTPM
  • PRCDDA
  • DIREGION
  • SGC
  • CSDTYPEH
  • CSDTYPE1
  • CACMACOD
  • DURBRUR
  • PCSD1
Aboriginal Peoples Survey (APS)
Survey details
APS 2001 (Adult)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
APS2001AD APS_ADULTS_RDC 20 WGT_PST2
  • APS_COMMNAME_REGROUP
  • CACMA
  • PWCMA
  • PRCDDA
  • CSDTYPEH
  • PEDEA
  • PCSD
  • PCSD1
  • PCSD5
  • CSDTYPE1
  • REGIONN
  • CSDTYPE5
  • PWSGC
  • G05CKBX
  • G05R021
  • G05R051
APS 2001 (Arctic)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
APS2001AR APS_ARCTIC_RDC 20 WGT_PST2
  • APS_COMMNAME_REGROUP
  • CACMA
  • PWCMA
  • PRCDDA
  • CSDTYPEH
  • PEDEA
  • REGIONN
  • PCSD
  • PCSD1
  • PCSD5
  • CSDTYPE1
  • CSDTYPE5
  • PWSGC
  • G05CKBX
  • G05R021
  • G05R051
APS 2001 (Child)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
APS2001CH APS_KIDS_RDC 20 WGT_PST2
  • APS_COMMNAME_REGROUP
  • CACMA
  • PRCDDA
  • CSDTYPEH
  • PEDEA
  • REGIONN
  • PCSD
  • PCSD1
  • PCSD5
  • CSDTYPE1
  • CSDTYPE5
APS 2001 (Metis)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
APS2001ME APS_METIS_RDC 20 WGT_PST2
  • APS_COMMNAME_REGROUP
  • CACMA
  • PWCMA
  • PRCDDA
  • CSDTYPEH
  • PEDEA
  • REGIONN
  • PCSD
  • PCSD1
  • PCSD5
  • CSDTYPE1
  • CSDTYPE5
  • PWSGC
  • G05CKBX
  • G05R021
  • G05R051
APS 2006 (Adult)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
APS2006AD APS2006AD 50 WTPM
  • PRCDDA
  • DIREGION
  • SGC
  • CSDTYPEH
  • CSDTYPE1
  • CSDTYPE5
  • CACMACOD
  • DURBRUR
  • PCSD1
  • PCSD5
  • PWCMA
  • PWSGC
APS 2006 (Child)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
APS2006CH APS2006CH 20 WTPM
  • PRCDDA
  • DIREGION
  • SGC
  • CSDTYPEH
  • CSDTYPE1
  • CSDTYPE5
  • CACMACOD
  • PCSD1
  • PCSD5
  • PWCMA
  • PWSGC
APS 2006 (Arctic)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
APS2006AR APS2006AR 20 WTPM
  • PRCDDA
  • DIREGION
  • SGC
  • CSDTYPEH
  • CSDTYPE1
  • CSDTYPE5
  • CACMACOD
  • DURBRUR
  • PCSD1
  • PCSD5
APS 2006 (Metis)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
APS2006ME APS2006ME 50 WTPM
  • PRCDDA
  • DIREGION
  • SGC
  • CSDTYPEH
  • CSDTYPE1
  • CSDTYPE5
  • CACMACOD
  • DURBRUR
  • PCSD1 PCSD5
  • PWCMA
  • PWSGC
  • POB_SGC
APS 2012
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
APS2012 APS2012 20 WGHT
  • NPRCDDA
  • NSGC
  • CSDTYPE1
  • CSDTYPE5
  • NCSDTYPE
  • CMA1
  • CMA5
  • NCMACA
  • WCMA
  • NCMACAT
  • PCSD1
  • PCSD5
  • PWSGC
APS 2017
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
APS2017 APS2017 50 WGHT
  • MASTERID
  • PROXY
  • VERDATE
  • INU_REG
  • PRCDDA
  • SGC
  • CMACA
  • POPCTRRA
  • DPL
  • DPLTYPE
  • PR_HRUID
  • PCD1
  • PCSD1
  • CMA1
  • PCD5
  • PCSD5
  • CMA5
  • PWCD
  • PWSGC
  • PWCMA
  • DAGEINTM
  • DAGEINTY
  • AGECEN16
  • HC_05
  • NUNITS
  • HC_10
  • DJOBTENM
  • NAIC17_2
  • NAIC17_3
  • NAIC12SS
  • NAIC2012
  • NOC16_2
  • NOC16_3
  • NOC16_4
  • NOC16MAJ
  • NOC16MIN
  • NOC2016
  • PJA_10A
  • DLASTWKM
  • DWSUB
  • DWSUBRD
  • TOTINCPT
  • EMPINPT
  • CSDTYPE
  • CMACAT
  • INUREGST
  • CMACAST
  • POPCTRSZ
  • JT_05
  • JT_15
  • DJOBSTY
  • HOU_Q20
  • PSC_20
  • SPS_05
  • CFHH
  • CFNM
  • CFCNT_PP
  • CFKIDNUM CFKID0T4
  • CFKID5T9
  • CFK10T14
  • CFK0T14
  • CFK15T17
  • CFK18T24
  • CFKGE25
  • EFCNT_PP
  • BEDRM
  • ROOMS
  • HOURS
  • WEEKS
  • PWDIST2R
  • PWDUR
  • HH_NEARN
  • CF_NEARN
  • EF_NEARN
APS 2017 NUNAVUT INUIT SUPPLEMENT (NIS)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
APS2017NIS APS2017NIS 10 WGHT
  • MASTERID
  • PROXY
  • VERDATE
  • INU_REG
  • PRCDDA
  • SGC
  • CMACA
  • POPCTRRA
  • DPL
  • DPLTYPE
  • PR_HRUID
  • PCD1
  • PCSD1
  • CMA1
  • PCD5
  • PCSD5
  • CMA5
  • PWCD
  • DPWNCD
  • PWSGC
  • DPWNCSD
  • PWCMA
  • DAGEINTM
  • DAGEINTY
  • AGECEN16
  • HC_05
  • NUNITS
  • HC_10
  • DJOBTENM
  • NAIC17_2
  • NAIC17_3
  • NAIC12SS
  • NAIC2012
  • NOC16_2
  • NOC16_3
  • NOC16_4
  • NOC16MAJ
  • NOC16MIN
  • NOC2016
  • PJA_10A
  • DLASTWKM
  • DWSUB
  • DWSUBRD
  • TOTINCPT
  • EMPINPT
  • CSDTYPE
  • CMACAT
  • INUREGST
  • CMACAST
  • POPCTRSZ
  • JT_05
  • JT_15
  • DJOBSTY
  • HOU_Q20
  • PSC_20
  • SPS_05
  • CFHH
  • CFNM
  • CFCNT_PP
  • CFKIDNUM
  • CFKID0T4
  • CFKID5T9
  • CFK10T14
  • CFK0T14
  • CFK15T17
  • CFK18T24
  • CFKGE25
  • EFCNT_PP
  • BEDRM
  • ROOMS
  • HOURS
  • WEEKS
  • PWDIST2R
  • PWDUR
  • HH_NEARN
  • CF_NEARN
  • EF_NEARN
IPS2022
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
IPS2022 IPS2022 50 WGHT
  • VERDATE
  • PRCDDA
  • SGC
  • CSDTYPE
  • CMACA
  • CMACAT
  • PCD
  • POPCTRRA
  • DPL
  • DPLTYPE
  • PR_HRUID
  • PCD1
  • PCD5
  • PCSD1
  • PCSD5
  • PWCD
  • PWSGC
  • PWCMA
  • CMACAST
  • POPCTRSZ
  • PWDIST2
  • PWDUR
  • CMA1
  • CMA5
  • CO1
  • CO5
  • CSDTYPE1
  • CSDTYPE5
  • LOCSTUDY
  • DIDENTGM
  • DANCESG
  • DIDGM91
  • DMETORG
  • NAIC22_2
  • NAIC22_3
  • NOC21_2
  • NOC21_3
  • NOC21_4
  • NOC21_5
  • DNOC21CG
  • DNOC21NE
  • HC_05
  • NAIC17SS
  • NAIC2017
  • NOC21MAJ
  • NOC21MIN
  • NOC2021
  • DWSUB
  • DWSUBRD
  • EMPINPT
  • CFHH
  • CFNM
  • CFCNT_PP
  • CFKIDNUM
  • CFK0T4
  • CFK5T9
  • CFK10T14
  • CFK15T17
  • CFK18T24
  • CFKGE25
  • EFCNT_PP
  • BEDRM
  • ROOMS
  • HOURS
  • WEEKS
  • HH_NEARN
  • CF_NEARN
  • EF_NEARN
  • VIC_35AJ
  • VIC_35AK
  • VIC_35AP
  • VIC_35BJ
  • VIC_35BK
  • VIC_35BP
  • VIC_35CJ
  • VIC_35CK
  • VIC_35CP
Access and Support to Education and Training Survey (ASETS)
Survey details
ASETS 2008
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
ASETS2008 ASETS2008 10 WTPM
  • REGION
  • UARATYPE
  • IM_Q01
  • IM_Q02
  • IM_Q03
  • IM_Q04
  • IM_Q06
  • IM_Q07
  • IM_Q09
  • IM_Q10
  • IM_Q11A
  • IM_Q11B
  • IM_Q11C
  • IM_Q12
  • IM_Q13
Adult Education and Training Survey (AETS)
Survey details
AETS 2003
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
AETS2003 AETS2003 500 WTPM
  • ERTAB
  • CMATAB
  • FRAME
  • STRAFRAM
  • TYPE
  • DM_Q04
Canadian Armed Forces Health Survey (CAFHS)
Survey details
CAFHS 2019
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAFHS2019 CAFHS2019 10 WTPM
  • DMI_14
    DMI_05
    DMI_12B
    DMI_13B
    DMI_15B
    HWT_02B
    HWT_02C
    DEM_07
Canadian Community Health Measures Survey (CHMS)
Survey details
CHMS 2017
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CHMS2017 CHMS 1000 WGT_FULL
  • C2_DAY
  • C2_MTH
  • C2_YEAR
  • PROXY
  • PPI_02
  • PPI_03
  • PPID03
  • SITESTRT
  • SITEEND
  • CLC_MOB
  • CLC_DOB
  • SITE
  • DHH_PRN
  • IMG_02
  • CLINICID
  • DHH_DOB
  • DHH_MOB
  • LAFCIC12
  • LAFCOC11
  • LAFCIC17
  • LAFCOC16
  • LAEC02A
  • LAEC02B
  • LAEC02C
  • LAEC03A
  • LAEC03B
  • LAEC03C
  • LAEC06A
  • LAEC06B
  • LAEC06C
Canadian Community Health Survey (CCHS)
Survey details
CCHS 2002
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2002 HS 500 WTSB_M
  • ADMB_DAT
  • ADMB_ENT
  • ADMB_LHH
  • ADMB_N10
  • ADMB_N12
  • ADMB_STA
  • ADMBDN09
  • PERSONID
  • SAMPLEID
  • DHHB_DOB
  • DHHB_MOB
  • GEOB_PC
  • GEOBDCD
  • GEOBDCMA
  • GEOBDCSD
  • GEOBDEA
  • GEOBDFED
  • SAMB_ACP
  • SAMB_OCP
  • SAMBDLNK
  • SAMBDSHR
  • WTSB_S
CCHS 2002 Canadian Forces
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2002CF HSCF 10 WTSB_M
  • ADMB_DAT
  • ADMB_LHH
  • ADMB_STA
  • ADMBDN09
  • PERSONID
  • SAMPLEID
  • DHHB_DOB
  • DHHB_MOB
  • SAMB_ACP
  • SAMB_OCP
  • SAMPTYPE
  • CF_B_REG
  • CF_BDREG
CCHS 2003
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2003 HS 200 WTSC_M
  • ADMC_DOI
  • ADMC_DQI
  • ADMC_LHH
  • ADMC_MOI
  • ADMC_MQI
  • ADMC_N09
  • ADMC_N10
  • ADMC_N11
  • ADMC_N12
  • ADMC_PRX
  • ADMC_STA
  • ADMC_YOI
  • ADMC_YQI
  • ADMCFQCP
  • SAMPLEID
  • DHHC_DOB
  • DHHC_MOB
  • PERSONID
  • GEOCDCD
  • GEOCDCMA
  • GEOCDCSD
  • GEOCDDA
  • GEOCDEA
  • GEOCDFED
  • GEOCDPC
  • GEOCDSHR
  • LBFCCNIC
  • LBFCCSOC
  • SAMC_CP
  • SAMC_TYP
  • SAMCDCP2
  • SAMCDLNK
  • SAMCDSHR
  • SAMCDSJB
  • WTSC_S
  • WTSC_SJB
  • WTSCFSS1
  • WTSCFSS2
  • WTSCFSS3
CCHS 2005
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2005 HS 200 WTSE_M
  • ADME_DOI
  • ADME_LHH
  • ADME_MOI
  • ADME_N09
  • ADME_N10
  • ADME_N11
  • ADME_N12
  • ADME_PRX
  • ADME_STA
  • ADME_YOI
  • DHHE_DOB
  • DHHE_MOB
  • GEOEDCD
  • GEOEDCMA
  • GEOEDCSD
  • GEOEDDA
  • GEOEDFED
  • GEOEDPC
  • GEOEDSHR
  • SAME_CP
  • SAME_TYP
  • SAMEDLNK
  • SAMEDSHR
  • SAMPLEID
  • WTSE_S
CCHS 2007
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2007 HS 200 WTS_M
  • VERDATE
  • GEODCD
  • GEODCMA1
  • GEODCMA6
  • GEODCSD
  • GEODDA01
  • GEODDA06
  • GEODFED
  • GEODLHN
  • GEODPC
  • GEODSAT
  • REFPER
  • SAM_CP
  • SAM_TYP
  • SAMDLNK
  • SAMDSHR
  • SAMPLEID
  • ADM_DOI
  • ADM_MOI
  • ADM_YOI
  • ADM_LHH
  • ADM_N09
  • ADM_N10
  • ADM_N11
  • ADM_N12
  • ADM_PRX
  • ADM_STA
  • PERSONID
  • DHH_DOB
  • SDCCCB
  • LBSCSIC
  • LBSCSOC
  • INCDADR
  • WTS_S
CCHS 20072008
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS200708 CCHS200708 200 WTS_M
  • GEODPC
  • GEODHR4
  • GEODLHN
  • GEODDA06
  • GEODDA01
  • GEODCSD
  • GEODCD
  • GEODCMA6
  • GEODCMA1
  • WTS_S
CCHS 2008
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2008
  • CCHS2008
  • CCHS2008SUB
500
  • WTS_M
  • WTS_2SM
  • GEODCD
  • GEODCMA1
  • GEODCMA6
  • GEODCSD
  • GEODDA01
  • GEODDA06
  • GEODFED
  • GEODHR4
  • GEODLHN
  • GEODPC
  • GEODPRG
  • GEODPSZ
  • GEODSAT
  • GEODUR
  • GEODUR2
CCHS 2009
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2009 HS 200 WTS_M
  • VERDATE
  • REFPER
  • SAMPLEID
  • PERSONID
  • GEODPC
  • GEODFED
  • GEODCSD
  • GEODCD
  • GEODSAT
  • GEODCMA6
  • SAM_CP
  • SAM_TYP
  • SAMDSHR
  • SAMDLNK
  • ADM_STA
  • ADM_PRX
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • ADM_N09
  • ADM_N10
  • ADM_N11
  • ADM_N12
  • ADM_LHH
  • DHH_DOB
  • WTS_S
  • SDCCCB
  • LBSCSIC
  • LBSCSOC
  • LBSF35S
  • INCDADR
CCHS 2009 Healthy Aging
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2009HA HS 500 WTS_M
  • GEODCD
  • GEODCMA6
  • GEODCSD
  • GEODDA06
  • GEODFED
  • GEODPC
  • GEODPSZ
  • GEODSAT
  • GEODUR
  • GEODUR2
  • WTS_S
  • VERDATE
  • REFPER
  • SAMDSHR
  • SAMDLNK
  • SAM_CP2
  • ADM_N09
  • ADM_N10
  • ADM_N11
  • ADM_N12
  • ADM_LHH
  • ADM_PRX
  • ADM_STA
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • DHH_DOB
  • LBFCSIC
  • LBFCSOC
  • SDC_1
  • IN2TRAT
  • IN2DADR
  • SDCCCB
CCHS 20092010
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS200910 HS 200 WTS_M
  • VERDATE
  • REFPER
  • SAMPLEID
  • SAM_CP
  • SAM_TYP
  • SAMDSHR
  • SAMDLNK
  • PERSONID
  • GEODPC
  • GEODLHN
  • GEODFED
  • GEODCSD
  • GEODCD
  • GEODSAT
  • GEODCMA6
  • GEODDA06
  • ADM_STA
  • ADM_PRX
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • ADM_N09
  • ADM_N10
  • ADM_N11
  • ADM_N12
  • ADM_LHH
  • WTS_S
  • DHH_DOB
  • SDCCCB
  • LBSCSIC
  • LBSCSOC
  • LBSF35S (all not applicable)
  • INWCSIC
  • INWCSOC
  • INCDADR
CCHS 2010
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2010 CCHS2010 200 WTS_M
  • GEODPC
  • GEODHR4
  • GEODBCHA
  • GEODSHR
  • GEODDHA
  • GEODRHA
  • GEODLHA
  • GEODLHN
  • GEODDA06
  • GEODCSD
  • GEODCD
  • GEODSAT
  • GEODCMA6
  • GEODPG09
  • GEODUR
  • GEODUR2
  • WTS_S
CCHS 2011
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2011 HS 250 WTS_M
  • GEODPC
  • GEODSHR
  • GEODDA06
  • GEODCSD
  • GEODCD
  • WTS_S
CCHS 20112012
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS201112 HS 250 WTS_M
  • VERDATE
  • REFPER
  • SAMPLEID
  • SAM_CP
  • SAM_TYP
  • SAMDSHR
  • GEODPC
  • GEODFED
  • GEODCSD
  • GEODCD
  • GEODSAT
  • GEODCMA6
  • GEODDA06
  • GEODSUBZ
  • ADM_STA
  • ADM_PRX
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • ADM_N09
  • ADM_N10
  • ADM_N11
  • ADM_N12
  • ADM_LHH
  • DHH_DOB
  • WTS_S
  • LBSCSIC
  • LBSCSOC
  • INWCSIC
  • INWCSOC
  • INCDADR
  • INCFIMP4
  • SDDC5B1
  • SDDC5B2
  • SDDC5B3
  • SDDC61
  • SDDC62
  • SDDC63
  • SDCCCB10
  • SPVCRL12
CCHS 2012
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2012 HS 250 WTS_M
  • GEODPC
  • GEODSHR
  • GEODDA06
  • GEODCSD
  • GEODCD
  • WTS_S
CCHS 2012 Mental Health
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2012MH HS 500 WTS_M
  • WTS_S
  • GEODPC
  • GEODDA11
  • GEODCD
  • GEODCMA1
  • GEODCSD
  • GEODFED
  • GEODSAT
  • GEODUR
  • GEODUR2
CCHS 2013
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2013 HS 200 WTS_M
  • SAMPLEID
  • PERSONID
  • GEOPDCMAA
  • GEODDA11
  • GEODPC
  • GEODCSD
  • GEODCD
  • ADM_DOI
  • DHH_DOB
  • DHH_MOB
  • WTS_S
  • WTS_MHH
CCHS 20132014
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS201314 HS 200 WTS_M
  • DHH_DOB
  • GEODCD
  • GEODCMAA
  • GEODCSD
  • GEODDA06
  • GEODDA11
  • GEODFED
  • GEODPC
  • GEODSAT
  • GEODSUBZ
  • INCFIMP4
  • INWCSIC
  • INWCSOC
  • LBSCSIC
  • LBSCSOC
  • CASETYPE
  • REFPER
  • SAM_CP
  • SAM_TYP
  • SAMDLNK
  • SAMDSHR
  • SAMPLEID
  • VERDATE
  • WTS_S
  • PERSONID
  • ADM_PRX
  • ADM_STA
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • ADM_N09
  • ADM_N10
  • ADM_N11
  • ADM_N12
  • ADM_LHH
  • SDCCCB13
  • SDCC5B1
  • SDCC5B2
  • SDCC5B3
  • SDCC61
  • SDCC62
  • SDCC63
  • INCDADR
CCHS 2014
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2014 CCHS 200 WTS_M
  • SAMPLEID
  • PERSONID
  • GEODCMAA
  • GEODDA11
  • GEODPC
  • GEODCSD
  • GEODCD
  • ADM_DOI
  • DHH_DOB
  • INCFIMP4
  • WTS_S
CCHS 2015
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2015 CCHS 200 WTS_M
  • DOACC
  • DOADL
  • ADM_040
  • ADM_045
  • ADM_050
  • ADM_055
  • ADM_DOI
  • ADM_LHH
  • ADM_MOI
  • ADM_PRX
  • ADM_STA
  • ADM_YOI
  • DOADM
  • SAMDVLNK
  • SAMDVSHR
  • DOALC
  • DOALW
  • DOBPC
  • DOCCC
  • DOCCS
  • DOCHP
  • DOCIH
  • DOCMH
  • DODEN
  • DODEP
  • DHH_DOB
  • DHH_MOB
  • DODIA
  • DODRG
  • DODRM
  • DODRV
  • EHG2DVH9
  • EHG2DVR9
  • EHG2_01
  • EHG2_02
  • EHG2_03
  • EHG2_04
  • DOETS
  • DOEYX
  • DOFDC
  • DOFGU
  • DOFLU
  • DOFSC
  • DOFVC
  • DOGEN
  • GEODVCD
  • GEODVCMA
  • GEODVCSD
  • GEODVD11
  • GEODVFED
  • GEODVPC
  • GEODVSAT
  • GEODVUR
  • DOHMC
  • DOHUI
  • DOHWT
  • DOINC
  • INCFIMP4
  • DOINJ
  • DOINS
  • DOLBF
  • LBFCSIC
  • LBFCSOC
  • DOLOP
  • DOMAC
  • DOMAM
  • DOMED
  • DOMEX
  • DOMXA
  • DOMXS
  • DONBE
  • DONDE
  • DOPAA
  • DOPAP
  • DOPAY
  • DOPCU
  • DOPEX
  • DOPHC
  • DOPMK
  • DOPSA
  • DOPSC
  • DOSAC
  • CASEMODE
  • FRAMETYP
  • PERSONID
  • REFPER
  • SAMPLEID
  • SAM_CP
  • VERDATE
  • DOSCA
  • DOSDC
  • DOSFE
  • DOSLP
  • DOSMK
  • DOSPI
  • DOSPS
  • DOSSB
  • DOSTG
  • DOSTS
  • DOSUI
  • DOSWL
  • DOSXB
  • DOTAL
  • DOUCN
  • DOUPE
  • DOWST
  • DOWTM
  • WTS_S
CCHS 20152016
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS201516 HS 200 WTS_M
  • DOACC
  • DOADL
  • ADM_040
  • ADM_045
  • ADM_050
  • ADM_055
  • ADM_DOI
  • ADM_LHH
  • ADM_MOI
  • ADM_PRX
  • ADM_STA
  • ADM_YOI
  • DOADM
  • SAMDVLNK
  • SAMDVSHR
  • DOALC
  • DOALW
  • DOBPC
  • DOCCC
  • DOCCS
  • DOCHP
  • DOCIH
  • DOCMH
  • DOCPG
  • DODEN
  • DODEP
  • DHH_DOB
  • DHH_MOB
  • DODIA
  • DODRG
  • DODRM
  • DODRV
  • DOETS
  • DOEYX
  • DOFDC
  • DOFGU
  • DOFLU
  • DOFSC
  • DOFVC
  • DOGEN
  • GEODVCD
  • GEODVCMA
  • GEODVCSD
  • GEODVD11
  • GEODVFED
  • GEODVPC
  • GEODVSAT
  • DOHMC
  • DOHUI
  • DOHWT
  • DOHWT
  • DOINJ
  • DOINS
  • DOLBF
  • DOLOP
  • DOMAC
  • DOMAM
  • DOMED
  • DOMEX
  • DOMXA
  • DOMXS
  • DONDE
  • DOOHT
  • DOPAA
  • DOPAP
  • DOPAY
  • DOPCU
  • DOPEX
  • DOPHC
  • DOPMK
  • DOPSA
  • DOPSC
  • DOSAC
  • CASEMODE
  • FRAMETYP
  • PERSONID
  • REFPER
  • SAMPLEID
  • SAM_CP
  • VERDATE
  • DOSCA
  • DOSCH
  • DOSDC
  • SDCCCOB
  • DOSLP
  • DOSMK
  • DOSPI
  • DOSPS
  • DOSSB
  • DOSTS
  • DOSUI
  • DOSWL
  • DOSXB
  • DOTAL
  • DOUCN
  • DOUPE
  • DOWST
  • DOWTM
  • WTS_S
  • INCFIMPH
  • INCFIMPP
CCHS 2016
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2016 CCHS2016 200 WTS_M
  • SAMPLEID
  • PERSONID
  • GEODVCMA
  • GEODVD11
  • GEODVPC
  • GEODVBHA
  • GEODVLHN
  • GEODVFED
  • GEODVCSD
  • GEODVCD
  • GEODVSAT
  • GEODVASZ
  • DHH_DOB
  • DHH_MOB
  • LBFCSIC
  • LBFCSOC
  • SDCCCOB
  • DHHDVAOS
  • DHH_YOB
  • MEX_020
  • MEX_025
  • MEX_030
  • SDC_IM4
  • SDCDVRES
  • SDCDVALI
CCHS 2017
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2017 CCHS2017 200 WTS_M
  • VERDATE
  • REFPER
  • SAM_CP
  • FRAMETYP
  • SAMDVSHR
  • SAMDVLNK
  • ADM_STA
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • ADM_LHH
  • ADM_PRX
  • INCFIMPH
  • INCFIMPP
  • ADM_040
  • ADM_045
  • ADM_050
  • ADM_055
  • CASEMODE
  • WTS_S
  • GEODVPC
  • GEODVD16
  • GEODVD11
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVCMA
  • GEODVSAT
  • GEODVUR
  • GEODVUR2
  • GEODVPSZ
  • GEODVBHA
  • GEODVLHN
  • GEODVASZ
  • SAMPLEID
  • PERSONID
  • DHH_DOB
  • DHH_MOB
  • INWCSIC
  • INWCSOC
  • LBFCSIC
  • LBFCSOC
  • MEX_020
  • MEX_025
  • MEX_030
CCHS 20172018
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS201718 HS 200 WTS_M
  • VERDATE
  • REFPER
  • SAM_CP
  • FRAMETYP
  • SAMDVSHR
  • SAMDVLNK
  • ADM_STA
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • ADM_LHH
  • ADM_PRX
  • INCFIMPH
  • INCFIMPP
  • ADM_040
  • ADM_045
  • ADM_050
  • ADM_055
  • CASEMODE
  • WTS_S
  • GEODVPC
  • GEODVD16
  • GEODVD11
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVCMA
  • GEODVCA
  • GEODVSAT
  • GEODVUR
  • GEODVUR2
  • GEODVPSZ
  • GEODVBHA
  • GEODVLHN
  • GEODVASZ
  • SAMPLEID
  • PERSONID
  • DHH_DOB
  • DHH_MOB
  • INWCSIC
  • INWCSOC
  • LBFCSIC
  • LBFCSOC
  • MEX_020
  • MEX_025
  • MEX_030
CCHS 2018
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2018 CCHS2018 200 WTS_M
  • VERDATE
  • REFPER
  • SAM_CP
  • FRAMETYP
  • SAMDVSHR
  • SAMDVLNK
  • ADM_STA
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • ADM_LHH
  • ADM_PRX
  • INCFIMPH
  • INCFIMPP
  • ADM_040
  • ADM_045
  • ADM_050
  • ADM_055
  • CASEMODE
  • WTS_S
  • GEODVPC
  • GEODVD16
  • GEODVD11
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVCMA
  • GEODVCA
  • GEODVSAT
  • GEODVUR
  • GEODVUR2
  • GEODVPSZ
  • GEODVBHA
  • GEODVLHN
  • GEODVASZ
  • SAMPLEID
  • PERSONID
  • DHH_DOB
  • DHH_MOB
  • INWCSIC
  • INWCSOC
  • LBFCSIC
  • LBFCSOC
  • MEX_020
  • MEX_025
  • MEX_030
CCHS 2019
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2019 CCHS2019 50 WTS_M
  • VERDATE
  • REFPER
  • SAM_CP
  • FRAMETYP
  • SAMDVSHR
  • SAMDVLNK
  • ADM_STA
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • ADM_LHH
  • INCFIMPH
  • INCFIMPP
  • ADM_040
  • ADM_045
  • ADM_050
  • ADM_055
  • CASEMODE
  • WTS_S
  • GEODVPC
  • GEODVD16
  • GEODVD11
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVCMA
  • GEODVCA
  • GEODVSAT
  • GEODVUR
  • GEODVUR2
  • GEODVPSZ
  • GEODVBHA
  • GEODVLHN
  • GEODVASZ
  • SAMPLEID
  • PERSONID
  • DHH_DOB
  • DHH_MOB
  • LBFCSIC
  • LBFCSOC
  • DHH_YOB
  • MEX_020
  • MEX_025
  • MEX_030
  • SUI_015
  • SUI_030
  • SUI_050
CCHS 201920
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS201920 CCHS201920 25 WTS_M
  • GEODVPC
  • GEODVD11
  • GEODVD16
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVCMA
  • GEOVDCA
  • GEOVSAT
  • GEODVBHA
  • GEODVLHN
  • GEODVSLH
  • GEODVASZ
  • SAM_CP
  • ADM_MOI
  • ADM_DOI
  • DHH_MOB
  • MEX_020
  • MEX_025
  • LBFCSIC
  • LBFCSOC
CCHS2020
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2020 CCHS2020 50 WTS_M
  • GEODVPC
  • GEODVD11
  • GEODVD16
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVCMA
  • GEOVDCA
  • GEOVSAT
  • GEODVBHA
  • GEODVLHN
  • GEODVSLH
  • GEODVASZ
  • SAM_CP
  • ADM_MOI
  • ADM_DOI
  • DHH_DOB
  • DHH_MOB
  • MEX_020
  • MEX_025
  • LBFCSIC
  • LBFCSOC
CCHS 2021
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2021 CCHS2021 100 WTS_M
  • GEODVPC
  • GEODVD16
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVCMA
  • GEOVDCA
  • GEOVSAT
  • GEODVBHA
  • GEODVLHN
  • GEODVSLH
  • GEODVASZ
  • SAM_CP
  • ADM_MOI
  • ADM_DOI
  • DHH_DOB
  • DHH_MOB
  • MEX_020
  • MEX_025
  • LBFCSIC
  • LBFCSOC
CCHS 2022 Provincial File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2022PV CCHS2022PV 100 WTS_M
  • VERDATE
  • COL_LANG
  • ADM_MOI
  • ADM_DOI
  • GEODVPC
  • GEODVD16
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVCMA
  • GEODVCA
  • GEODVSAT
  • GEODVBHA
  • GEODVHCS
  • GEODVSHC
  • GEODVASZ
  • GDRA_10
  • AGE_01B
  • AGE_01C
  • LBFCSIC
  • SDCCCOC
  • MEX_20
  • MEX_25
  • LBFCSOC
  • SDCCCOB
CCHS 2022 Territories File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CCHS2022TR CCHS2022TR 100 WTS_M
  • VERDATE
  • COL_LANG
  • ADM_MOI
  • ADM_DOI
  • GEODVPC
  • GEODVD16
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVCMA
  • GEODVCA
  • GEODVSAT
  • GEODVBHA
  • GEODVHCS
  • GEODVSHC
  • GEODVASZ
  • GDRA_10
  • AGE_01B
  • AGE_01C
  • LBFCSIC
  • SDCCCOC
  • MEX_20
  • MEX_25
  • LBFCSOC
  • SDCCCOB
Canadian Financial Capability Survey (CFCS)
CFCS 2009
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CFCS2009 CFCS2009 1000 WTPM
  • CMA
  • DM_Q12
  • MASTERID
  • AD_Q01D
CFCS 2014
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CFCS2014 CFCS 1000 WTPM
  • MASTERID
  • OCC_RET
  • OCC_EMP
  • SP_OCEMP
  • IN_I02
  • IN_I04
Canadian Forces Mental Health Survey (CFMHS)
Survey details
CFMHS 2013
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CFMH2013 CFMH 10 WTPM  
Canadian Health Survey on Children and Youth (CHSCY)
Survey details
CHSCY 2019
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CHSCY2019 CHSCY2019 50 WTS_M
  • ADM_DOIP
  • ADM_DOIY
  • ADM_MOIP
  • ADM_MOIY
  • ADM_YOIP
  • ADM_YOIY
  • COLFLGP
  • COLFLGY
  • SAMDVLKP
  • SAMDVLKY
  • SAMDVLNK
  • SAMDVSHP
  • SAMDVSHR
  • SAMDVSHY
  • COL_MODP
  • COL_MODY
  • HWT_030
  • PAIFLAG
  • VERDATE
  • REFPER
  • GEODVBHA
  • GEODVCD
  • GEODVCMA
  • GEODVCSD
  • GEODVD16
  • GEODVFED
  • GEODVHR4
  • GEODVLHN
  • GEODVUR
  • GEODVUR2
  • GEODVPC
  • GEODVPSZ
  • GEODVSAT
  • GEODVSLH
  • GEODVP16
  • DHH_DOB
Canadian Health Survey on Seniors (CHSS)
Survey details
CHSS 2019
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CHSS2019 CHSS2019 30 WTS_M
  • REFPER
  • SAM_CP
  • FRAMETYP
  • SAMDVSHR
  • SAMDVLNK
  • ADM_STA
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • ADM_LHH
  • INCFIMPH
  • INCFIMPP
  • ADM_040
  • ADM_045
  • ADM_050
  • ADM_055
  • CASEMODE
  • SAMDVLAS
  • SAMDVLK
  • SAMDVSR
  • ADM_STAS
  • ADM_540
  • ADM_545
  • ADM_550
  • ADM_555
  • WTS_S
  • GEODVPC
  • GEODVD16
  • GEODVD11
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVCMA
  • GEODVCA
  • GEODVSAT
  • GEODVHR4
  • GEODVUR
  • GEODVUR2
  • GEODVPSZ
  • GEODVBHA
  • GEODVLHN
  • GEODVASZ
  • CHSSID
  • PERSONID
  • DHH_DOB
  • DHH_MOB
  • LBFCSIC
  • LBFCSOC
  • DHH_YOB
  • SUI_015
  • SUI_030
CHSS 2019-2020
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CHSS201920 CHSS201920 20 WTS_M
  • SAM_CP
  • ADM_MOI
  • ADM_DOI
  • GEODVPC
  • GEODVD16
  • GEODVD11
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVSAT
  • GEODVBHA
  • GEODVLHN
  • GEODVSLH
  • GEODVASZ
  • DHH_MOB
  • DHH_DOB
  • SDCCCOB
  • SDCC2_1
  • SDCC2_2
  • SDCC2_3
  • SDCC3_1
  • SDCC3_2
  • SDCC3_3
CHSS 2020
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CHSS2020 CHSS2020 50 WTS_M
  • SAM_CP
  • ADM_MOI
  • ADM_DOI
  • GEODVPC
  • GEODVD16
  • GEODVD11
  • GEODVCSD
  • GEODVFED
  • GEODVCD
  • GEODVSAT
  • GEODVBHA
  • GEODVLHN
  • GEODVSLH
  • GEODVASZ
  • DHH_MOB
  • DHH_DOB
  • SDCCCOB
  • SDCC2_1
  • SDCC2_2
  • SDCC2_3
  • SDCC3_1
  • SDCC3_2
  • SDCC3_3
Canadian Housing Survey (CHS)
Survey details
CHS 2022
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CHS2022 CHS2022 100 WEIGHT
  • VERDATE
  • DV_COLY
  • DV_COLM
  • CDCSD
  • CMACA
  • CMAPO
  • CT
  • CTLA
  • CTPO
  • DA
  • DBUID
  • ER
  • FSA
  • HR
  • PCODE
  • POPCTRCD
  • POPCTRPO
  • POPCTRSZ
  • DEST_CSD
  • DEST_CMA
  • PAC_20A
  • HOM_35
  • HOM_15
  • EVI_10A
  • SOR_05
  • CNIT1BD
  • CNIT2BD
  • CNIT3BD
  • CNIT4BD
  • CNITBACH
  • CNITYEAR
  • CHNS
  • DV_AHS
  • DV_SUITS
  • SDH_10
  • HTYPE_L
  • FS
  • R2P1
  • DOB
  • MOB
  • SEX
  • GENDER
  • IM_20
  • VAC_15
  • DV_IM05A
  • DV_IM30B
  • EFID
  • CFID
  • IMM_CAT
Canadian Income Survey (CIS)
Survey details
CIS 2012
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2012 CIS 200 FWEIGHT
  • CNTRYEDU
  • CMA2G
  • URBSZ
  • VERDATE
  • YEAR
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • MBMREG
  • PERSONID
  • MASTERID
  • DARES
  • ERTAB
  • EIERTAB
  • CDCSD
  • CMACA
  • CMA1G
  • CMA3G
  • CMAPO
  • URBCD
  • URBPO
  • EFID
  • EFSIZE
  • EFAGOFM
  • EFAGYFM
  • CFID
  • CFSIZE
  • CFAGOFM
  • CFAGYFM
  • CNTRYBTH
  • INCFAM
  • INCSR
CIS 2013
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2013 CIS 200 FWEIGHT
  • CNTRYEDU
  • CMA2G
  • URBSZ
  • VERDATE
  • YEAR
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • MBMREG
  • PERSONID
  • MASTERID
  • DARES
  • ERTAB
  • EIERTAB
  • CDCSD
  • CMACA
  • CMA1G
  • CMA3G
  • CMAPO
  • URBCD
  • URBPO
  • EFID
  • EFSIZE
  • EFAGOFM
  • EFAGYFM
  • CFID
  • CFSIZE
  • CFAGOFM
  • CFAGYFM
  • CNTRYBTH
  • INCFAM
  • INCSR
CIS 2013 – Disability
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2013DIS CIS_DISAB 200 DWEIGHT
  • PERSONID
  • VERDATE
CIS 2013 Combined File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2013CMB CIS2013CMB 250 DWEIGHT
  • INCSR
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • EFID
  • EFDUALCD
  • CFID
CIS 2014
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2014 CIS 200 FWEIGHT
  • CNTRYEDU
  • CMA2G
  • URBSZ
  • VERDATE
  • YEAR
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • MBMREG
  • PERSONID
  • MASTERID
  • DARES
  • ERTAB
  • EIERTAB
  • CDCSD
  • CMACA
  • CMA1G
  • CMA3G
  • CMAPO
  • URBCD
  • URBPO
  • EFID
  • EFSIZE
  • EFAGOFM
  • EFAGYFM
  • CFID
  • CFSIZE
  • CFAGOFM
  • CFAGYFM
  • CNTRYBTH
  • INCFAM
  • INCSR
CIS 2014 – Disability
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2014DIS CIS_DISAB 200 DWEIGHT
  • PERSONID
  • VERDATE
CIS 2014 Combined File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2014CMB CIS2014CMB 250 WEIGHT
  • INCSR
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • EFID
  • EFDUALCD
  • CFID
CIS 2015
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2015 CIS 200 FWEIGHT
  • CNTRYEDU
  • CMA2G
  • URBSZ
  • VERDATE
  • YEAR
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • MBMREG
  • PERSONID
  • MASTERID
  • DARES
  • ERTAB
  • EIERTAB
  • CDCSD
  • CMACA
  • CMA1G
  • CMA3G
  • CMAPO
  • URBCD
  • URBPO
  • EFID
  • EFSIZE
  • EFAGOFM
  • EFAGYFM
  • CFID
  • CFSIZE
  • CFAGOFM
  • CFAGYFM
  • CNTRYBTH
  • INCFAM
  • INCSR
CIS 2015 – Disability
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2015DIS CIS_DISAB 200 DWEIGHT
  • PERSONID
  • VERDATE
CIS 2015 Combined File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2015CMB CIS2015CMB 200 DWEIGHT
  • INCSR
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • EFID
  • EFDUALCD
  • CFID
CIS 2016
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2016 CIS 200 FWEIGHT
  • EFDUALCD
  • CMA1G
  • CMA2G
  • CMA3G
  • CMACA
  • CMAPO
  • DARES
  • ERTAB
  • REGRES
  • EIERTAB
  • URBCD
  • URBPO
  • CFID
  • EFID
  • INCFAM
  • MASTERID
  • PERSONID
  • VERDATE
  • YEAR
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • MBMREG
  • CNTRYEDU
  • CNTRYBTH
CIS 2016 – Disability
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2016DIS CIS_DISAB 200 DWEIGHT
  • PERSONID
  • VERDATE
  • YEAR
CIS 2016 Combined File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2016CMB CIS2016CMB 200 DWEIGHT
  • INCSR
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • EFID
  • EFDUALCD
  • CFID
CIS 2017
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2017 CIS 200 FWEIGHT
  • EFDUALCD
  • CMA1G
  • CMA2G
  • CMA3G
  • CMACA
  • CMAPO
  • DARES
  • ERTAB
  • REGRES
  • EIERTAB
  • URBCD
  • URBPO
  • CFID
  • EFID
  • INCFAM
  • MASTERID
  • PERSONID
  • VERDATE
  • YEAR
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • MBMREG
  • CNTRYEDU
  • CNTRYBTH
CIS 2017 – Disability
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2017DIS CIS_DISAB 200 DWEIGHT
  • PERSONID
  • VERDATE
  • YEAR
CIS 2017 Combined File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2017CMB CIS2017CMB 200 DWEIGHT
  • INCSR
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • EFID
  • EFDUALCD
  • CFID
CIS 2018
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2018 CIS 200 FWEIGHT
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • MASTERID
  • PERSONID
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • INCSR
  • EFID
  • EFDUALCD
  • CFID
CIS 2018 – Disability
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2018DIS CIS_DISAB 200 DWEIGHT
  • YEAR
  • VERDATE
  • PERSONID
CIS 2018 Combined File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2018CMB CIS2018CMB 200 DWEIGHT
  • INCSR
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • EFID
  • EFDUALCD
  • CFID
CIS 2019
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2019 CIS 200 FWEIGHT
  • YEAR
  • INCSR
  • VERDATE
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • MASTERID
  • PERSONID
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • EFID
  • EFDUALCD
  • CFID
CIS 2019 – Disability
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2019DIS CIS_DISAB 200 DWEIGHT
  • YEAR
  • VERDATE
  • PERSONID
CIS 2019 Combined File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2019CMB CIS2019CMB 200 DWEIGHT
  • INCSR
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • EFID
  • EFDUALCD
  • CFID
CIS 2020
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2020 CIS2020 200 FWEIGHT
  • YEAR
  • INCSR
  • VERDATE
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • MASTERID
  • PERSONID
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • EFID
  • EFDUALCD
  • CFID
CIS 2020 – Disability
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2020DIS CIS_2020_DISAB 200 DWEIGHT
  • YEAR
  • VERDATE
  • PERSONID
CIS 2020 Combined File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2020CMB CIS2020CMB 100 DWEIGHT
  • INCSR
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • EFID
  • EFDUALCD
  • CFID
CIS 2021
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2021 CIS2021 200 FWEIGHT
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • MASTERID
  • PERSONID
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • INCSR
  • EFID
  • EFDUALCD
  • CFID
CIS 2021 - Disability
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2021DIS CIS2021DIS 1000 DWEIGHT
  •  
CIS 2021 Combined File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2021CMB CIS2021CMB 200 DWEIGHT
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • MASTERID
  • PERSONID
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • INCFAM
  • INCSR
  • EFID
  • EFDUALCD
  • CFID
CIS 2022
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2022 CIS2022 1000 CIS_WGT
  • VERDATE
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • EFID
  • EFDUALCD
  • CFID
  • CNTRYBTH
CIS 2022 - Disability
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2022DIS CIS2022DIS 1000 CIS_DWT
  • VERDATE
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • EFID
  • EFDUALCD
  • CFID
  • CNTRYBTH
CIS 2022 - Plus
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2022PL CIS2022PL 1000 CISP_WGT
  • VERDATE
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • EFID
  • EFDUALCD
  • CFID
  • CNTRYBTH
CIS 2022 - Disability Plus
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIS2022DPL CIS2022DPL 1000 CISP_DWT
  • VERDATE
  • DARES
  • CDCSD
  • ERTAB
  • EIERTAB
  • CMACA
  • CMA1G
  • CMA2G
  • CMA3G
  • CMAPO
  • URBRUR
  • URBCD
  • URBPO
  • URBSZ
  • URBSZG
  • USZGA
  • NAICSCD
  • NAICSG1
  • NOCCD
  • NOCG1
  • EFID
  • EFDUALCD
  • CFID
  • CNTRYBTH
Canadian Internet Use Survey (CIUS)
Survey details
CIUS 2009
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIUS2009 CIUS2009 500 WTPM
  • ERTAB
  • CDCSD
  • MIZ
  • CMATAB
  • CMA15
  • URBAN
  • URSTAT
CIUS 2012HH
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIUS2012HH CIUS_HH 250 WTHM
  • MASTERID
  • ERTAB
  • CDCSD
  • CMATAB
  • CMACA
  • HINCIMP
CIUS 2012PR
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIUS2012PR CIUS_PR 1000 WTPM
  • MSTRID_P
  • ERTAB
  • CDCSD
  • CMATAB
  • CMACA
  • NAICS
  • NOCS
  • CNTRYBTH
  • CNTRYEDU
  • HINCIMP
CIUS 2018
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIUS2018 CIUS 500 WTPM
  • ECI_540G
  • ECI_540J
  • ECI_540K
  • ECI_570A
  • ECI_620A
  • HINCIMP
  • MASTERID
  • RR_020CA
  • PCODE
CIUS 2020
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CIUS 2020 CIUS 2020 500 WTMP
  • ECI_010G
  • ECI_010L
  • ECI_020A
  • ECI_050B
  • ECI_060A
  • EC_FL07A
  • SP_FL03A
  • SP_FL03B
  • SP_FL03C
  • SP_FL03D
  • SP_FL03E
  • SP_FL03F
  • OW_FL05A
  • OWI_100A
  • OWI_100I
  • HA_FL03A
  • HA_FL03B
  • HA_FL03C
  • HA_FL03D
  • HA_FL03E
  • HA_FL03F
  • HINCIMP
  • IMM_FLAG
  • MASTERID
  • RR_020CA
  • PCODE
  • CMA
  • SACFLAG
  • MAINCMA
  • LOCATION
  • LAN_YEAR
  • LAN_AGE
  • EFF_YEAR
  • CTRY_BIR
  • CTRY_RES
Canadian National Immunization Coverage Survey (CNICS)
Survey details
CNICS 2013
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CNICS2013 CNICS2013 50
  • FWGT_KAA
  • FWGT_VAC
  • MASTERID
  • THI_I01
  • VALS_06
  • PS_D02
CNICS 2019
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CNICS2019 CNICS2019 1000 WTMP  
CNICS 2019P
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CNICS2019P CNICS2019P 5 WTMP  
CNICS 2021
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CNICS2021 CNICS2021 10 WTMP  
CNICS 2021P
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CNICS2021P CNICS2021P 5 WTMP  
Canadian Social Survey (CSS)
Survey details

Canadian Social Survey – 2021 Wave 1
Canadian Social Survey – 2021 Wave 2  
Canadian Social Survey – 2021 Wave 3
Canadian Social Survey – 2021 Wave 4
Canadian Social Survey – 2022 Wave 1
Canadian Social Survey – 2022 Wave 2
Canadian Social Survey – 2022 Wave 3
Canadian Social Survey – 2023 Wave 1 
Canadian Social Survey – 2023 Wave 2 

Canadian Social Survey – COVID-19 and Well-being
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSS2021W1 CSS2021W1 1000 WGT

CMA
CT
CSDUID
CSIZEMIZ
GDR_10
GDR_5

Canadian Social Survey - Well-being, Activities and Perception of Time
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSS2021W2 CSS2021W2 1000 WGT

CMA
CT
CSDUID
CSIZEMIZ
GDR_10
GDR_5

Canadian Social Survey - Well-being, Unpaid Work and Family Time
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSS2021W3 CSS2021W3 1000 WGT

CMA
CT
CSDUID
CSIZEMIZ
GDR_10
GDR_5

Canadian Social Survey - Well-being, and Family Relationships
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSS2021W4 CSS2021W4 1000 WGT

EQFLAG
CMA
CT
CSDUID
CSIZEMIZ
GDR_10
GDR_5

Canadian Social Survey - Well-being, Shared Values and Trust
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSS2022W1 CSS2022W1 1000 WGT

EQFLAG
CMA
CT
CSDUID
CSIZEMIZ
GDR_10
GDR_5

Canadian Social Survey - Well-being and Caregiving
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSS2022W2 CSS2022W2 1000 WGT

EQFLAG
CMA
CT
CSDUID
CSIZEMIZ
GDR_10
GDR_5

Canadian Social Survey - Quality of Life and Cost of Living
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSS2022W3 CSS2022W3 1000 WGT

EQFLAG
CMA
CT
CSDUID
CSIZEMIZ
GDR_10
GDR_5

Canadian Social Survey - Quality of Life and Energy Use
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSS2023W1 CSS2023W1 1000 WGT

EQFLAG
CMA
CT
CSDUID
CSIZEMIZ
GDR_10
GDR_5

Canadian Social Survey – Quality of Life and Energy Use Household File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSS2023HH CSS2023HH 500 WGT_HH

CMA
CT
CSDUID

Canadian Social Survey – Quality of Life, Virtual Health Care and Trust
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSS2023W2 CSS2023W2 1000 WGT

EVI_CMA
CMA
CT
CSDUID
GDR_05
GDR_10

Canadian Survey on Disability (CSD)
Survey details
CSD 2012
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSD2012
  • CSD2012_DISAB
  • CSD2012_NONDISAB
100 WTPM
  • CMA
  • CMA1
  • CMA5
  • CO1
  • CO5
  • PCD
  • PCD1
  • PCD5
  • PCSD
  • PCSD1
  • PCSD5
  • POB
  • POBF
  • POBM
  • PR1
  • PR5
  • PRCDDA
  • PWCMA
  • PWSGC
CSD 2017
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSD2017
  • CSD2017_DISAB
  • CSD2017_NONDISAB
100 WTPM
  • MASTERID
  • VERDATE
  • HLTHREGN
  • ECONREGN
  • CMA
  • PCD
  • PCSD
  • PRCDDA
  • PCD1
  • PCSD1
  • CMA1
  • PCD5
  • PCSD5
  • CMA5
  • PWCD
  • PWSGC
  • PWCMA
  • DIND12_3
  • DIND17_3
  • DLIND7_3
  • NAIC2012
  • DOCC16_4
  • NOC2016
  • NOC16MIN
  • YRIM
  • AGE_IMM
  • POPCTRID
  • SAC_TYPE
  • ABARRSIN
  • DICD101
  • DICD102
  • DMFS16R3
  • DMFS16
  • DOCC16_3
  • DLIND7_2
  • ABETH1
  • ABETH2
  • ABETH3
  • ABETH4
  • ABETH5
  • ABETH6
  • ADLSEE
  • ADLHEAR
  • ADLPHYS
  • ADLLRNG
  • ADLEMOT
  • ADLOTHR
  • MEDDIP
  • CIP2011
  • CIP11_4
  • POB
  • POBF
  • POBM
  • CFKID04
  • CFKID05
  • CFKID014
  • CFKID59
  • CFKID614
  • CFKD1014
  • CFKID018
  • CFKD1517
  • CFKD1824
  • CFKDGE25
  • MINCHDAG
  • NOLW1R
  • NOLW2R
  • NOLW3R
  • NOLW4R
  • HLNAW1R
  • HLNBW1R
  • MTNW1R
  • LNWAW1R
  • LNWBW1R
  • SAC1
  • SAC5
  • PWSAC
  • PWCOMMUT
  • JT_05
  • JT_10
  • JT_15
  • JT_20
CSD 2022
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CSD2022
  • CSD2022_DISAB
  • CSD2022_NONDISAB
100 WTPM
  • HLTHREGN
  • ECONREGN
  • CMA
  • PCD
  • PCSD
  • PRCDDA
  • ABARRSIN
  • PCD1
  • PCSD1
  • CMA1
  • PCD5
  • PCSD5
  • CMA5
  • PWCD
  • PWSGC
  • PWCMA
  • CIP21_4
  • NOC21MIN
  • NOC21T
  • NOC21S
  • NOC2016
  • NOC2021
  • NAIC2017
  • MEDDIP
  • CIP2021
  • CIP2011
  • CIP21_4
  • CIP11_4
  • LOCSTUDY
  • DPGRSUM
  • ETH1
  • ETH2
  • ETH3
  • ETH4
  • ETH5
  • ETH6
  • ABETH1
  • ABETH2
  • ABETH3
  • ABETH4
  • ABETH5
  • ABETH6
  • NOLW1R
  • NOLW2R
  • NOLW3R
  • NOLW4R
  • MTNW1R
  • DIND17_3
  • DLIND7_3
  • DIND22_3
  • DLID22_3
  • DOCC16_4
  • DOCC21_4
  • DOCC21_5
  • DOCC16_3
  • DOCC21_3
  • DLIND7_2
  • DLID22_2
  • DMFS16
  • DMFS21
  • DMFS16R3
  • DMFS21R3
Canadian Tobacco, Alcohol and Drugs Survey (CTADS)
Survey details
CTADS 2013
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
Household File: CTADS2013 CTADS2013_HHLD 1000 WTHM
  • MASTERID
  • STRATUM
  • REFYEAR
  • REFMONTH
  • VALIDPC
  • FSA
Person File: CTADS2013 CTADS2013_PRSN 1000 WTPM
  • MASTERID
  • STRATUM
  • REFYEAR
  • REFMONTH
  • VALIDPC
  • FSA
CTADS 2015
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
Household File: CTADS2015 CTADS2015HH 1000 WTHM
  • MASTERID
  • REFYEAR
  • REFMONTH
  • STRATUM
  • VERDATE
  • FINTLANG
  • TNIS_01
Person File: CTADS2015 CTADS2015PR 1000 WTPM
  • MASTERID
  • REFYEAR
  • REFMONTH
  • POSTCODE
  • FSA
  • VERDATE
  • LP_01
CTADS 2017
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
Household File: CTADS2017 CTADS2017H 500 WTHM
  • MASTERID
  • REFMONTH
  • STRATUM
  • VERDATE
  • FINTLANG
  • TNS2_01
Person File: CTADS2017 CTADS2017P 1000 WTPM
  • MASTERID
  • REFMONTH
  • POSTCODE
  • FSA
  • VERDATE
Canadian Tobacco and Nicotine Survey (CTNS)
Survey details
CTNS 2021
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CTNS2021 CTNS2021 1000 WTMP
  • VERDATE
  • REFYEAR
  • REFMONTH
  • REFDAY
  • DEM_30
  • MASTERID
  • DEM_15B
  • DEM_15C
  • DEM_20
  • DEM_15A
  • DEM_25
CTNS 2022
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CTNS2022 CTNS2022 500 WTMP
  • DEM_30
  • DV_AGE
Digital Economy Survey (DES)
Survey details
DES 2018
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
DES2018 DES2018 1000 WTMP
  • VERDATE
  • DES_FL20
  • DEM_30
Employment Insurance Coverage Survey (EICS)
Survey details
EICS 2014
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
EICS2014 EICS 500 WTPM
  • MASTERID
  • SRYR
  • UIRTAB
  • MONTHID
  • OCC
  • IND2
  • OCC2
  • SP_SIC
  • SP_SOC
EICS 2015
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
EICS2015 EICS 500 WTPM
  • MASTERID
  • SRYR
  • UIRTAB
  • MONTHID
  • IND
  • IND2
  • NAICS6
  • OCC
  • OCC2
  • SP_SOC
EICS 2016
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
EICS2016 EICS 500 WTPM
  • IND
  • IND2
  • MASTERID
  • MONTHID
  • OCC
  • OCC2
  • SP_SIC
  • SP_SOC
  • SRYR
  • TYPES
  • WA_Q02
  • UIRTAB
Ethnic Diversity Survey (EDS)
Survey details
EDS 2001
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
EDS2001 EDS2001 500 WGT_EDS
  • SL_PCODE
  • SL_CACMA
  • SL_CSDTY
  • SL_RUIND
  • SL_SGC
  • SL_PRCDA
  • SL_CTCOD
  • SL_CTNAM
  • REGION
  • PCODE
  • RUIND
  • CACMA
  • CMA8
  • CMA6
  • CMA3
  • CMA_IND
  • REGCMA
  • CSDTYPE
  • SGC
  • PRCDDA
  • IMMSTAT
  • CTCODE
  • CTNAME
  • IMMSTAT
  • IMMYC
  • IMMY2
  • X_IM_RS
General Social Survey (GSS)
Survey details
GSS Cycle 16
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2002 GSS2002 1000 WGHT_PER
  • GEOCD
  • GEOCSD
  • GEOCT
  • CMACD
  • URBNRURL
  • DOR_Q240
  • URIND
GSS Cycle 17
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2003 GSS2003 1000 WGHT_PER
  • GEO_CB
  • GEO_CCS
  • GEO_CD
  • GEO_CMA_CA
  • GEO_CSD
  • GEO_MET_NMET
  • GEO_CT_PCT
  • GEO_DA
  • GEO_DPL
  • GEO_FED
  • GEO_ER
  • GEO_EA96
  • GEO_SAC_TYPE
  • DOR_Q240
  • LUC_RST
  • GEO_UA_RA
  • GEO_UA_RA_TYPE
  • CEGEOIND
GSS Cycle 18
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2004 GSS2004 1000
  • WGHT_PER
  • WGHT_ABU
  • DOR_Q240
  • GEO_DA
  • GEO_CT_PCT
  • GEO_CSD
  • GEO_CB
  • GEO_DPL
  • GEO_MET_NMET
  • GEO_UA_RA
  • GEO_CCS
  • GEO_CD
  • GEO_CMA_CA
  • GEO_UA_RA_TYPE
  • GEO_SAC_TYPE
  • CEGEOIND
  • LUC_RST
GSS Cycle 19
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2005 C19ANALM_NUM 1000
  • ADJWTVIC
  • WGHT_PER
  • WGHT_CSP
  • WGHT_SNT
  • DOR_Q240
  • GEO_DA
  • GEO_CT_PCT
  • GEO_CSD
  • GEO_CB
  • GEO_DPL
  • GEO_MET_NMET
  • GEO_CCS
  • GEO_CD
  • GEO_CMA_CA
  • GEO_UA_RA
  • GEO_SAC_TYPE
  • LUC_RST
  • GEO_UA_RA_TYPE
  • CEGOIND
GSS Cycle 20
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2006 C20ANALM_NUM 1000 WGHT_PER
  • DOR_Q240
  • GEO_DA
  • GEO_CT_PCT
  • GEO_DPL
  • GEO_CSD
  • GEO_CB
  • GEO_MET_NMET
  • GEO_CD
  • GEO_CMA_CA
  • GEO_UA_RA
  • GEO_CCS
  • STRATUM
  • GEO_SAC_TYPE
  • LUC_RST
  • CT_PCT_UID
  • GEO_UA_RA_TYPE
  • CEGEOIND
GSS Cycle 21
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2007 GSS2007 1000 WGHT_PER
  • GEO_CB
  • GEO_CCS
  • GEO_CD
  • GEO_CMA_CA
  • GEO_CSD
  • GEO_CT_PCT
  • GEO_DA
  • GEO_DPL
  • GEO_FED
  • GEO_ER
  • DVDOR_Q640
  • STRATUM
  • GEO_SAC_TYPE
  • LUC_RST
  • GEO_UA_RA
  • GEO_UA_RA_TYPE
  • CEGEOIND
GSS Cycle 22
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2008 GSS2008 1000 WGHT_PER
  • GEO_CB
  • GEO_CCS
  • GEO_CD
  • GEO_CMA_CA
  • GEO_CSD
  • GEO_CT_PCT
  • GEO_DA
  • GEO_DPL
  • GEO_FED
  • GEO_ER
  • RSP_Q40
  • STRATUM
  • GEO_SAC_TYPE
  • LUC_RST
  • CT_PCT_UID
  • GEO_UA_RA
  • GEO_UA_RA_TYPE
  • CEGEOIND
GSS Cycle 23
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2009 C23ANALM 1000
  • WGHT_PER
  • WGHT_ABU
  • GEO_DA
  • GEO_CT_PCT
  • GEO_CSD
  • GEO_CB
  • GEO_DPL
  • GEO_MET_NMET
  • GEO_CD
  • GEO_CMA_CA
  • GEO_CCS
  • GEO_UA_RA
  • GEO_UA_RA_TYPE
  • GEO_SAC_TYPE
  • GEO_ER
  • GEO_FED
  • CEGEOIND
  • RSP_Q40
  • RSP_Q42
  • STRATUM
  • LUC_RST
  • CT_PCT_UID
GSS Cycle 24
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2010 GSS_ANALM 1000 WGHT_PER
  • WGHT_CSP
  • WGHT_SNT
  • STRATUM
  • GEO_CB
  • GEO_CCS
  • GEO_CD
  • GEO_CMA_CA
  • GEO_CSD
  • CT_PCT_UID
  • GEO_CT_PCT
  • GEO_DA
  • GEO_DPL
  • GEO_FED
  • GEO_ER
  • BDR_Q100
  • RSP_Q40
  • RSP_Q42
  • NOCS2006
GSS Cycle 25
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2011 GSS2011 1000 WGHT_PER
  • STRATUM
  • GEO_CB
  • GEO_CCS
  • GEO_CD
  • GEO_CMA_CA
  • GEO_CSD
  • GEO_MET_NMET
  • GEO_CT_PCT
  • GEO_DA
  • GEO_DPL
  • GEO_FED
  • GEO_ER
  • RESPDAY
  • NOCS2006
GSS Cycle 26
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2012 GSS2012 1000 WGHT_PER
  • STRATUM
  • GEO_CB
  • GEO_CCS
  • GEO_CD
  • GEO_CMA_CA
  • GEO_CSD
  • CEO_MET_NMET
  • GEO_CT_PCT
  • GEO_DA
  • GEO_DPL
  • GEO_FED
  • GEO_ER
  • PCODE
  • BDR_Q100
  • NOCS2011
GSS Cycle 27 – Social Identity
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2013 GSS 1000 WGHT_PER
  • RECID
  • COMPFLAG
  • SAMPLE
  • COLLMODE
  • SURVMNTH
  • SURVYEAR
  • LANINT
  • PCODE
  • CCSCODE
  • CSDCODE
  • CT_CODE
  • DPLCODE
  • ERCODE
  • FEDCODE
  • MET_NMET
  • POPCTR
  • SACFLAG
  • CDCODE
  • DACODE
  • DBCODE
  • STRATUM
  • CT_PCT
  • BPRCODE
  • CTZCODE1
  • CTZCODE2
  • CTZCODE3
GSS Cycle 27 – Giving, Volunteering and Participating
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2013GVP GSS2013GVP 1000 WGHT_PER
  • RECID
  • COMPFLAG
  • PCODE
  • FEDCODE
  • ERCODE
  • CDCODE
  • CCSCODE
  • CSDCODE
  • DACODE
  • DPLCODE
  • DBCODE
  • MET_NMET
  • CT_PCT
  • POPCTR
  • POPCTR_T
  • MV1I02A
  • MV1Y02A
  • MV1I02B
  • MV1Y02B
  • MV1I02C
  • MV1Y02C
  • MV1I02D
  • MV1Y02D
  • MV1I02E
  • MV1Y02E
  • MV1I02F
  • MV1Y02F
  • MV1I02G
  • MV1Y02G
  • MV1I02H
  • MV1Y02H
  • MV1I02I
  • MV1Y02I
  • MV1I02J
  • MV1Y02J
  • MV1I02K
  • MV1Y02K
  • MV1I02L
  • MV1Y02L
  • MV1I02M
  • MV1Y02M
  • MV1I02N
  • MV1Y02N
  • MV1I02O
  • MV1Y02O
  • FG1I030
  • FG1I040
  • FG1I050
  • FG1I060
  • FG1I070
  • FG1I080
  • FG1I090
  • FG1I100
  • FG1I110
  • FG1I120
  • FG1I130
  • FG1I140
  • FG1I170
  • FG1FGIV
  • NAIC2012
  • NOCS2011
  • NOCS2006
  • BPRCODE
  • BPR_15
  • FLAGRR
  • FLAGDM
  • CTFLAG
  • CSDCHO
  • CTNAME
GSS Cycle 29
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2015 GSS_ANALM 1000 WGHT_PER
  • AGEARRI
  • BPFCODE
  • BPMCODE
  • BPRCODE
  • BPR_15
  • BPR_17
  • DDAY
  • EQFLAG
  • LANINT
  • RECID
  • SURVMNTH
  • NAIC12W
  • NOC11W
  • NAIC12Y
  • NOC11Y
  • CCSCODE
  • CDCODE
  • CSDCODE
  • CT_PCT
  • DACODE
  • DBCODE
  • DPLCODE
  • ERCODE
  • FEDCODE
  • MET_NMET
  • PCODE
  • POPCTR
  • POPCTR_T
  • STRATUM
  • CTNAME
  • FLAGDM
  • FLAGRR
  • LANCHCD1
  • LANCHCD2
  • LANCHCD3
  • LANHHCD1
  • LANHHCD2
  • LANHHCD3
  • RELIGCDH
GSS Cycle 30
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
Full File: GSS2016 GSS2016_FULL 1000 WGHT_PER
  • BPPCODE
  • PCODE
  • BPFCODE
  • BPMCODE
  • BPRCODE
  • BPR_15
  • BPR_17
  • LANINT
  • RECID
  • SURVMNTH
  • SURVYEAR
  • SURV_DAY
  • CCSCODE
  • CDCODE
  • CSDCODE
  • CTNAME
  • CT_PCT
  • DACODE
  • DBCODE
  • DPLCODE
  • ERCODE
  • FEDCODE
  • RESPMTH
  • STRATUM
  • FLAGDM
  • FLAGRR
  • RELIGCDH
  • SPLTSMPL
  • NAIC12Y
  • NOC16Y
Cultural Participation File: GSS2016 GSS2016_CULT 1000 WGHT_CSP
  • BPPCODE
  • PCODE
  • BPFCODE
  • BPMCODE
  • BPRCODE
  • BPR_15
  • BPR_17
  • LANINT
  • RECID
  • SURVMNTH
  • SURVYEAR
  • SURV_DAY
  • CCSCODE
  • CDCODE
  • CSDCODE
  • CTNAME
  • CT_PCT
  • DACODE
  • DBCODE
  • DPLCODE
  • ERCODE
  • FEDCODE
  • RESPMTH
  • STRATUM
  • FLAGDM
  • FLAGRR
  • RELIGCDH
  • SPLTSMPL
  • NAIC12Y
  • NOC16Y
Sport Participation File: GSS2016 GSS2016_SPORT 1000 WGHT_SNT
  • BPPCODE
  • PCODE
  • BPFCODE
  • BPMCODE
  • BPRCODE
  • BPR_15
  • BPR_17
  • LANINT
  • RECID
  • SURVMNTH
  • SURVYEAR
  • SURV_DAY
  • CCSCODE
  • CDCODE
  • CSDCODE
  • CTNAME
  • CT_PCT
  • DACODE
  • DBCODE
  • DPLCODE
  • ERCODE
  • FEDCODE
  • RESPMTH
  • STRATUM
  • FLAGDM
  • FLAGRR
  • RELIGCDH
  • SPLTSMPL
  • NAIC12Y
  • NOC16Y
GSS Cycle 33 – Giving file
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2018GVP GSS2018GVP 1000 WEIGHT  
GSS Cycle 33 – Analytical file
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2018 GSS2018 1000 WGHT_PER  
GSS 2022 – Main file
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2022MN GSS2022MN 1000 WGHT_PER
  • SURVYEAR
  • LANINT
  • DDAY
  • PCODE
  • FEDCODE
  • ERCODE
  • CDCODE
  • CCSCODE
  • CSDCODE
  • DACODE
  • DPLCODE
  • DBCODE
  • MET_NMET
  • SACFLAG
  • CT_PCT
  • POPCTR
  • POPCTR_T
  • LUC_RST
  • SEX
  • GENDER
  • GENPR
  • NOC21W
  • NOC21Y
  • NAICS22W
  • NAICS22Y
  • IM_05B2
  • BPR_20B1
  • BPR_20B2
  • BPR_20C2
  • BPP_01A2
  • RELIGCDH
  • IM_01A2
  • IM_02
  • LGBTQ2
GSS 2022 – Episode file
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
GSS2022EPI GSS2022EPI 1000 WGHT_EPI  
Health Services Access Survey (HSAS)
Survey details
HSAS 2002
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
HSAS2002 HSAS2002 1000 FINWGHT
  • GEOADFED
  • GEOADUR1
  • GEOADEA
Households and the Environment Survey (HES)
Survey details
HES 2013
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
HES2013 HES 250 WTHM
  • MASTERID
  • FSA
  • CMA
  • CMACA
  • CD
  • CSD
  • ER
  • PS_Q02
HES 2015
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
HES2015 HES 250 WTHM
  • MASTERID
  • PS_Q02
  • CMACA
  • CMA
  • CD
  • CSD
Labour Force Survey (LFS)
Survey details
LFS 1997-1999
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
LFS199799 LFS199799 250 FINALWT LANDIMM
LANDYR
LANDMTH
INDGSTAT
INDGNAI
INDGMET
INDGINU
IVMWT
SPECWT
CLUSTWT
STABILWT
THEORWT
BALFACT
SUBWT
RUFAC
URSTAT
CDCSD
VISMIN
VISMINFL
LFS 2000-2005
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
LFS200005 LFS200005 250 FINALWT LANDIMM
LANDYR
LANDMTH
INDGSTAT
INDGNAI
INDGMET
INDGINU
IVMWT
SPECWT
CLUSTWT
STABILWT
THEORWT
BALFACT
SUBWT
RUFAC
URSTAT
CDCSD
VISMIN
VISMINFL
LFS 2006-2010
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
LFS200610 LFS200610 250 FINALWT LANDIMM
LANDYR
LANDMTH
INDGSTAT
INDGNAI
INDGMET
INDGINU
IVMWT
SPECWT
CLUSTWT
STABILWT
THEORWT
BALFACT
SUBWT
RUFAC
URSTAT
CDCSD
VISMIN
VISMINFL
LFS 2011-2015
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
LFS201115 LFS201115 250 FINALWT LANDIMM
LANDYR
LANDMTH
INDGSTAT
INDGNAI
INDGMET
INDGINU
IVMWT
SPECWT
CLUSTWT
STABILWT
THEORWT
BALFACT
SUBWT
RUFAC
URSTAT
CDCSD
VISMIN
VISMINFL
LFS 2016-2020
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
LFS201620 LFS201620 250 FINALWT LANDIMM
LANDYR
LANDMTH
INDGSTAT
INDGNAI
INDGMET
INDGINU
IVMWT
SPECWT
CLUSTWT
STABILWT
THEORWT
BALFACT
SUBWT
RUFAC
URSTAT
CDCSD
VISMIN
VISMINFL
LFS 2021-2025
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
LFS202125 LFS202125 250 FINALWT
  • LANDIMM
    LANDYR
    LANDMTH
    INDGSTAT
    INDGNAI
    INDGMET
    INDGINU
    IVMWT
    SPECWT
    CLUSTWT
    STABILWT
    THEORWT
    BALFACT
    SUBWT
    RUFAC
    URSTAT
    CDCSD
    VISMIN
    VISMINFL
Life After Service Survey (LASS)
Survey details
LASS 2013
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
LASS2013 LASS 20 WTPM
  • HUI1_07A
  • HUI1_07B
Longitudinal Survey of Immigrants to Canada (LSIC)
Survey details
LSICW1
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
LSICW1 LSICW1 20 WT1L
  • LR1Z052
  • HS1D007
LSICW2
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
LSICW2 LSICW2 20 WT2L
  • LR1Z052
  • LR1Z064
  • HS1D123
  • HS1D124
  • HS1D125
  • HS1D126
  • HS2Q127
  • HS2L124
LSICW3
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
LSICW3 LSICW3 20 WT3L
  • HS1D125
  • HS1D126
  • HS1D184
  • LR1Z052
  • LR1Z064
  • HS1D123
  • HS1D124
  • HS1D183
Maternity Experiences Survey (MES)
Survey details
MES 2006
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
MES2006 MES2006 15 WTPS
  • FSA
  • CMACA
National Apprenticeship Survey (NAS)
Survey details
NAS 2007
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NAS2007 NAS2007 10 WEIGHT
  • POSTCODE
  • CMA_Q01
  • CMA2PC
  • CUR_PC
  • CMA2Prov
  • CMA2Proa
NAS 2015
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NAS2015 NAS 10 WTPM
  • POSTCODE
  • VERDATE
  • CNTRYCOD
  • LF5_I60
  • LF5_I62
  • LF5_I63
  • LF5_I64
  • LF5_I66
  • LF5_I67
  • LF5_I68
  • LF5_I69
  • LFALL_I
  • LFIND3
  • LFOCC3
  • LFTIME_I
  • LFWAGE_I
  • MR4_I60
  • MR4_I62
  • MR4_I63
  • MR4_I64
  • MR4_I66
  • MR4_I67
  • MR4_I68
  • MR4_I69
  • MRALL_I
  • MRIND3
  • MROCC3
  • MRTIME_I
  • MRWAGE_I
  • RESPFLAG
  • WEIND3
  • WEOCC3
  • MASTERID
  • ABQUE_11
  • ABQUE_12
  • ABQUE_13
  • ABQUE_14
  • AFTNC_11
  • AFTNC_12
  • AFTNC_13
  • AFTNC_14
  • BNET_11
  • BNET_12
  • BNET_13
  • BNET_14
  • CMNET_11
  • CMNET_12
  • CMNET_13
  • CMNET_14
  • CQPP_11
  • CQPP_12
  • CQPP_13
  • CQPP_14
  • CTBI_11
  • CTBI_12
  • CTBI_13
  • CTBI_14
  • EINS_11
  • EINS_12
  • EINS_13
  • EINS_14
  • EXIND_11
  • EXIND_12
  • EXIND_13
  • EXIND_14
  • FABEN_11
  • FABEN_12
  • FABEN_13
  • FABEN_14
  • FMNET_11
  • FMNET_12
  • FMNET_13
  • FMNET_14
  • FSNET_11
  • FSNET_12
  • FSNET_13
  • FSNET_14
  • GHSTC_11
  • GHSTC_12
  • GHSTC_13
  • GHSTC_14
  • INVI_11
  • INVI_12
  • INVI_13
  • INVI_14
  • LTPI_11
  • LTPI_12
  • LTPI_13
  • LTPI_14
  • NFSL_11
  • NFSL_12
  • NFSL_13
  • NFSL_14
  • NFTXC_11
  • NFTXC_12
  • NFTXC_13
  • NFTXC_14
  • NPTXC_11
  • NPTXC_12
  • NPTXC_13
  • NPTXC_14
  • OASP_11
  • OASP_12
  • OASP_13
  • OASP_14
  • OEI_11
  • OEI_12
  • OEI_13
  • OEI_14
  • OI_11
  • OI_12
  • OI_13
  • OI_14
  • PFNET_11
  • PFNET_12
  • PFNET_13
  • PFNET_14
  • PTXCL_11
  • PTXCL_12
  • PTXCL_13
  • PTXCL_14
  • RNET_11
  • RNET_12
  • RNET_13
  • RNET_14
  • RRSPO_11
  • RRSPO_12
  • RRSPO_13
  • RRSPO_14
  • SASPY_11
  • SASPY_12
  • SASPY_13
  • SASPY_14
  • SOP4A_11
  • SOP4A_12
  • SOP4A_13
  • SOP4A_14
  • T4E_11
  • T4E_12
  • T4E_13
  • T4E_14
  • TALIR_11
  • TALIR_12
  • TALIR_13
  • TALIR_14
  • UCCB_11
  • UCCB_12
  • UCCB_13
  • UCCB_14
  • WITB_11
  • WITB_12
  • WITB_13
  • WITB_14
  • WKCPY_11
  • WKCPY_12
  • WKCPY_13
  • WKCPY_14
  • XDIV_11
  • XDIV_12
  • XDIV_13
  • XDIV_14
  • XTIRC_11
  • XTIRC_12
  • XTIRC_13
  • XTIRC_14
  • LFCIND
  • MRCIND
  • WECIND
  • LFCOCC
  • MRCOCC
  • WECOCC
  • SL_R01
  • DVAGE15
  • DVDATY15
  • LF5_69
  • MR4_69
  • HRLYWMR
  • HRLYWLF
  • JOBINCMR
  • JOBINCLF
  • DH14DV
  • EDUCREG
  • POSTCODE
  • CMACA
  • SACFLAG
  • CMA
  • CD
  • CSD
National Cannabis Survey (NCS)
Survey details
NCS 2018 (WAVE 1)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NCS2018W1 NCS2018W1 500 WTMP
  • MASTERID
  • DEM_30
  • VERDATE
  • DEM_25
  • CAN_40AA
  • CAN_40BA
  • CAN_40CA
  • CAN_40DA
  • CAN_40EA
  • CAN_40FA
  • CAN_40GA
  • CAN_40HA
NCS 2018 (WAVE 2 NORTH)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NCS2018W2N NCS2018W2North 30 WTMP
  • MASTERID
  • DEM_30
  • VERDATE
  • DEM_25
  • CAN_40AA
  • CAN_40BA
  • CAN_40CA
  • CAN_40DA
  • CAN_40EA
  • CAN_40FA
  • CAN_40GA
  • CAN_40HA
NCS 2018 (WAVE 2 SOUTH)
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NCS2018W2S NCS2018W2South 500 WTMP
  • MASTERID
  • DEM_30
  • VERDATE
  • DEM_25
  • CAN_40AA
  • CAN_40BA
  • CAN_40CA
  • CAN_40DA
  • CAN_40EA
  • CAN_40FA
  • CAN_40GA
  • CAN_40HA
National Graduates Survey (NGS)
Survey details
NGS 1986
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NGS1986 NGS881 20 WGT
  • POPADJ
  • NGSID
NGS 1990
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NGS1990 NGS1990 20 WEIGHT
  • INSTRO
NGS 1990 FOG
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NGS1990FOG NGS1990FOG 20 WEIGHT
  • INSTRO
NGS 1995
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NGS1995 NGS1995 20 S95GWGT
  • USNEW2
  • FQ5
NGS 1995 FOG
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NGS1995FOG NGS1995FOG 20 FOGWTM
  • USNEW2
  • FQ5
NGS 2000
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NGS2000 NGS2000 20 WTPM
  •  
NGS 2000 FOG
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NGS2000FOG NGS2000FOG 20 FWTPM
  • SEQID
  • INTDATE
  • PRCCIP
  • ABCCIP
  • LFCCIP
  • EPCCIPa
  • EPCCIPb
  • EPCCIPc
  • EPCCIPd
  • EPCCIPe
  • EPCCIPf
  • EPCCIPg
  • ABCIND
  • LFCIND
  • EMNCINDa
  • EMNCINDb
  • EMNCINDc
  • EMNCINDd
  • EMNCINDe
  • EMNCINDf
  • ABCOCC
  • LFCOCC
  • EMNCOCCa
  • EMNCOCCb
  • EMNCOCCc
  • EMNCOCCd
  • EMNCOCCe
  • EMNCOCCf
  • FLFCIP1
  • FEPCIP1
  • FEPCIP2
  • FEPCIP3
  • FEPCIP4
  • FEPCIP5
  • FEPCIP6
  • FEPCIP7
  • FLFIND
  • FLFOCC
  • FLFOCCUS
  • AB_I28
  • LF_I85
  • LF_I88
  • LF_I89
  • E_I49a
  • E_I53a
  • E_I54a
  • E_I49b
  • E_I53b
  • E_I54b
  • E_I49c
  • E_I53c
  • E_I54c
  • E_I49d
  • E_I54d
  • E_I49e
  • E_I54e
  • SL_I07
  • SL_I11
  • SL_I14
  • SL_I15
  • SL_I23A
  • SL_I24A
  • SL_I26
  • SL_I28
  • DE_I34
  • DE_I36
NGS 2005
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NGS2005 NGS2005 20 WTPM  
NGS 2010
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NGS2010 NGS2010 20 WTPM  
Nunavut Government Employee Survey (NGES)
Survey details
NGES 2016
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NGES2016 NGES 10 WTPM
  • MASTERID
  • NOC_2011
  • GEN_08
  • GEN_09
  • VERDATE
NGES 2021
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
NGES2021 NGES_2021 10 WTPM
  • REL_01
  • REL_02
  • NOC_2016
  • DDEPT
  • CUR_02
Participation and Activity Limitation Survey (PALS)
Survey details
PALS: 2001
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PALS2001
  • ADULTS
  • CHILDREN
  • NONDISABLED
100 WEIGHT DAYB
PALS: pns2006
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PALS2006
  • PALS2006_ADULT
  • PALS2006_CHILD
  • PALS2006_NO_DISABILITY
100 WEIGHT
  • CMA
  • CMA1
  • CMA5
  • CO1
  • CO5
  • CSDTYPEH
  • CSDTYPE1
  • CSDTYPE5
  • PCD1
  • PCD5
  • PCSD1
  • PCSD5
  • POB
  • POP1
  • POP5
  • PRCDDA
  • CSDCODE
Portrait of Canadian Society (PCS)
Survey details
PCS 2021 Wave 1
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PCS2021W1
  • PCS2021W1
500 WTMP
  • VERDATE
  • SACFLAG
  • CMA_FLAG
  • SEX
PCS 2021 Wave 2
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PCS2021W2
  • PCS2021W2
500 WTMP
  • VERDATE
  • SACFLAG
  • CMA_FLAG
  • SEX
PCS 2021 Wave 3
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PCS2021W3
  • PCS2021W3
500 WTMP
  • VERDATE
  • SACFLAG
  • CMA_FLAG
  • SEX
Post-Secondary Education Participation Survey (PEPS)
Survey details
PEPS 2002
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PEPS2002 PEPS2002 500 FINWT
  • FRAME
  • CMATAB
  • STRAFRAM
  • TYPE
  • LISTLINE
  • URSTAT
Public Service Employee Survey (PSES)
Survey details
PSES 2008
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PSES2008 PSES2008 10
  • WTP_DEPT
  • WTP_PSL
J_Q097
PSES 2011
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PSES2011 PSES2011 10 WT_PSL
  • MASTERID
  • L_Q90
PSES 2014
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PSES2014 PSES 10 WT_PSL  
PSES 2017
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PSES2017 PSES2017 100 WT_PSL
  • MASTERID
  • UNITID
  • COLLMODE
  • LANG
  • VERDATE
  • M_Q112
  • FOL_REGN
  • FOLDV2
  • FOLDV3
  • FOLDV4
  • M_Q105B
  • M_Q106B
PSES 2022 – Demographic File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PSES2022DM PSES2022DM 10 WTPM
  • D105
  • IMPUTEF1
  • IMPUTEF2
  • IMPUTEF3
  • LINKFLAG
  • VERDATE
  • FOL_REGN
  • FOLDV2
  • FOLDV3
  • FOLDV4
  • Q109
  • Q114
  • Q115
  • Q105B
  • DEPTDV
  • DPTSIZE
  • OCCLEVEL
  • ORGUNIT
  • RCMP_Q45
  • RCMP_Q50
  • RCMP_Q55
  • RCMP_Q57
  • LEVEL2ID
  • LEVEL3ID
  • LEVEL4ID
  • LEVEL5ID
  • UNITID
PSES 2022 – Organization File
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
PSES2022OG PSES2022OG 10 WTPM
  • IMPUTEF1
  • IMPUTEF2
  • IMPUTEF3
  • LINKFLAG
  • VERDATE
  • FOL_REGN
  • FOLDV2
  • FOLDV3
  • FOLDV4
  • Q115
  • FOLDV1
  • FOLDV5
  • FOLDV6
  • FOLDV9
  • FOLDV10
  • FOLDV11
  • FOLDV12
  • FOLDV13
  • FOLDV14
  • ORGUNIT
  • M_D105X1
  • M_D105X2
  • M_D105X3
  • UNITID
  • Q105A
  • OCCLEVEL
  • RCMP_Q55
  • RCMP_Q57
  • Q119A
  • Q119BA
  • Q119BB
  • Q119BC
  • Q119BD
  • DEPTDV
  • D122J
  • D122I
  • D122H
  • D122G
  • D122F
  • D122E
  • D122D
  • D122C
  • D122B
  • D122A
  • D122
  • D121
  • D120_2
  • D120_1
  • D119C
  • D119B
  • D119A
  • D119
  • D118K
  • D118J
  • D118I
  • D118H
  • D118G
  • D118F
  • D118E
  • D118D
  • D118C
  • D118B
  • D118A
  • D118
  • D117
  • Q122
  • Q122BA
  • Q122BB
  • Q122BC
  • Q122BD
  • Q122BE
  • Q122BF
  • Q122BG
  • Q122BH
  • Q122BI
  • Q122BJ
  • Q122BK
  • Q120A
  • Q120B
  • Q120C
  • Q120D
  • Q120E
  • Q120F
  • Q120G
  • Q120H
  • Q121A
  • Q121B
  • Q121C
  • Q121D
  • Q121E
  • Q121F
  • Q121G
  • Q121H
  • Q121I
  • Q121J
  • Q121K
  • Q121L
  • Q121M
  • Q121N
  • Q121O
  • Q121P
  • Q121Q
  • Q121R
  • Q121S
  • Q121T
  • Q121U
  • Q118BA
  • Q118BB
  • Q118BC
  • Q118BD
  • Q118BE
  • Q118BF
  • Q118BG
  • Q118BH
  • Q118BI
  • Q118BJ
  • Q118BK
  • Q118BL
  • Q118A
  • Q117
  • Q112
  • Q105B
  • Q106
  • D105

Statistics Canada recommends that, whenever possible, all estimates of percentages (or proportions) from the PSES be assessed for fitness of use by reference to their confidence intervals (CIs). Intervals that are too wide, or that are based on too few responses, are less reliable - as are their associated estimates. As a rule of thumb, when approximately two-thirds of the employees in a group have responded to a question then the limit for confidentiality (10 respondents) is also a good limit for quality of the CI. When fewer than one-third have responded, 30 or more respondents to a question are recommended to have a reliable CI that will properly indicate the relative quality of the estimate.

Residential Telephone Service Survey (RTSS)
Survey details
RTSS 2013
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
RTSS2013 RTSS 500 WTHM
  • CMA1
  • CMA34
  • CMATAB
  • ERTAB
Survey of Approaches to Educational Planning (SAEP)
Survey details
SAEP 2002
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SAEP2002 SAEP2002 500 WTPM
  • URSTAT
SAEP 2013
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SAEP2013 SAEP 500 WTPM
  • CMATAB
  • ERTAB
  • UIRTAB
Survey of Emergency Preparedness and Resilience in Canada (SEPR)
Survey details
SEPR 2014
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SEPR2014 SEPR 250 WTPM
  • IMMDV01
  • REMDV01
  • DV2LANGA
  • DV2LANGB
  • DV2LANGC
  • DV3LANGA
  • DV3LANGB
  • DV3LANGC
  • CURLANG
  • INTVLANG
  • INTVDATE
  • CMA_ORIG
  • PR_CMACA
  • VERDATE
  • MASTERID
Survey of Employees under Federal Jurisdiction (SEFJ)
Survey details
SEFJ 2022
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SEFJ2022 SEFJ2022 20 WTMP
  • FJE_15A
  • FJE_20A
  • GDR_05
  • DEM_60_2
  • DEM_90
  • DV_IM01
Survey of Financial Security (SFS)
Survey details
SFS 2012
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
Person File: SFS2012 SFS_PERSON 500 WEIGHT DOB
Family File: SFS2012 SFS_FAMILY 500 WEIGHT DOB
SFS 2016
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
Person File: SFS2016 SFS_PERSON 500 WEIGHT
  • MOB
  • DOB
  • AGE_I
  • DOB_I
  • MOB_I
  • YOB_I
  • LFCDPS_I
  • LFCESP_I
  • LFCHRS_I
  • LFCNW_I
  • LFCPD_I
  • LFCRSP_I
  • LFCSLF_I
  • LFCSTM_I
  • LFCSTY_I
  • LFCUNC_I
  • LFCUNM_I
  • LFCWK_I
  • NAICS_EE
  • NAICS_I
  • NOCS_EE
  • NOCS_I
  • PPCPMM_I
  • PPCPMY_I
  • PPCPPA_I
  • EDUC_I
  • EVERWA_I
  • EVERW_I
  • LFPFPT_I
  • LFPWKW_I
  • NAICS_HH
  • PNPERN_I
  • PNPEXM_I
  • PNPEXY_I
  • PNPMEM_I
  • PNPPAY_I
  • PNPSPD_I
  • PNPTM1_I
  • PNPTM2_I
  • PNPTM3_I
  • PNPTM4_I
  • PNPTM5_I
  • EFAMID
  • MASTERID
  • PERSONID
  • P_IALIM
  • P_IALIP
  • P_ICAPG
  • P_ICPQDS
  • P_ICPQP
  • P_IEIBE
  • P_IFMSE
  • P_IINVA
  • P_IINVT
  • P_IMPST
  • P_INFMS
  • P_IOTTX
  • P_IPENGV
  • P_IPENRC
  • P_IPRPEN
  • P_IRDSP
  • P_IRPPC
  • P_IRSPW
  • P_ISAPI
  • P_IUCCB
  • P_IUDPD
  • P_IWGSA
  • P_IWKRC
  • PIPAMT_I
  • PIPBRG_I
  • PIPID2_I
  • PIPID4_I
  • PIPIDX_I
  • PIPNET_I
  • PIPORP_I
  • PIPRCV_I
  • PIPTYP_I
  • RETAGE_I
  • RETIRE_I
  • MARST_I
  • SEX_I
  • CNTYCODE
  • DV1_CODE
  • DV2_CODE
  • DV3_CODE
  • DV2_LNGA
  • DV2_LNGB
  • DV2_LNGC
  • DV3_LNGA
  • DV3_LNGB
  • DV3_LNGC
Family File: SFS2016 SFS_FAMILY 500 WEIGHT
  • ASRDWN_I
  • CDRES
  • CDRES11
  • CMA1G
  • CMA1G11
  • CMA2G
  • CMA2G11
  • CMACA
  • CMACA11
  • CMAPO
  • CMAPO11
  • CSDRES
  • CSDRES11
  • DARES
  • DARES11
  • DARES_I
  • ERRES
  • ERRES11
  • FEDRES
  • LATRES
  • LATRES11
  • LATRES_I
  • LNGRES
  • LNGRES_I
  • POSTCD
  • EFAMID
  • ATTBNK_I
  • ATTBUD_I
  • ATTCRC_I
  • ATTCRC_I
  • ATTCRL_I
  • ATTCRN_I
  • ATTCRR_I
  • ATTCRU_I
  • ATTDIF_I
  • ATTLCP_I
  • ATTLCR_I
  • ATTPAY_I
  • ATTRSA_I
  • ATTRSH_I
  • ATTRSL_I
  • ATTRSP_I
  • ATTRSR_I
  • ATTSIT_I
  • ATTSKP_I
  • ASR1MFAI
  • ASR1MF_I
  • ASR1MO_I
  • ASR1MR1I
  • ASR1MR2I
  • ASR1MR3I
  • ASR1MR4I
  • ASR1MR5I
  • ASR1MR6I
  • ASR1MR7I
  • ASR1MRAI
  • ASR1MR_I
  • ASR2MOYI
  • ASR2MO_I
  • ASR2MP1I
  • ASR2MP2I
  • ASR2MP3I
  • ASR2MP4I
  • ASR2MP5I
  • ASR2MP6I
  • ASR2MP7I
  • ASR2MP8I
  • ASR2M_I
  • ASRBUY_I
  • ASRCON_I
  • ASRCST_I
  • ASRCUR_I
  • ASRDIF_I
  • ASRDP01I
  • ASRDP02I
  • ASRDP03I
  • ASRDP04I
  • ASRDP05I
  • ASRDP06I
  • ASRDP07I
  • ASRDP08I
  • ASRDP09I
  • ASRDP10I
  • ASRDPA_I
  • ASRDPB_I
  • ASRDPP_I
  • ASRDP_I
  • ASRFRM_I
  • ASRFSL_I
  • ASRINH_I
  • ASRINTRI
  • ASRINT_I
  • ASRMM_I
  • ASRMPF_I
  • ASRMTG_I
  • ASRMY_I
  • ASROWN_I
  • ASRPCT_I
  • ASRSEL_I
  • ASRSHR_I
  • ASRSKP_I
  • EXMG1A_I
  • EXMG1F_I
  • EXMG1I_I
  • AS1RECTI
  • AS1REC_I
  • AS1REFTI
  • AS1REF_I
  • AS2RECTI
  • AS2REC_I
  • AS2REFTI
  • AS2REF_I
  • AS3RECTI
  • AS3REC_I
  • AS3REFTI
  • AS3REF_I
  • AS4RECTI
  • AS4REC_I
  • AS4REFTI
  • AS4REF_I
  • DB1MGC_I
  • DB1MGF_I
  • DB2MGC_I
  • DB2MGF_I
  • DB3MGC_I
  • DB3MGF_I
  • DB4MGC_I
  • DB4MGF_I
  • DBT1MGCI
  • DBT1MGFI
  • DBT2MGCI
  • DBT2MGFI
  • DBT3MGCI
  • DBT3MGFI
  • DBT4MGCI
  • DBT4MGFI
  • ASSRECNI
  • ASSREC_I
  • ASSREFNI
  • ASSREF_I
  • ASSVEH_I
  • ASSVNM_I
  • ASSVOTNI
  • ASSVOT_I
  • AS1VVL_I
  • AS2VVL_I
  • AS3VVL_I
  • AS4VVL_I
  • DB1CAR_I
  • DB2CAR_I
  • DB3CAR_I
  • DB4CAR_I
  • DBT1CARI
  • DBT2CARI
  • DBT3CARI
  • DBT4CARI
  • AS1VOT_I
  • AS1VTT_I
  • AS2VOT_I
  • AS2VTT_I
  • AS3VOT_I
  • AS3VTT_I
  • AS4VOT_I
  • AS4VTT_I
  • DB1VEH_I
  • DB2VEH_I
  • DB3VEH_I
  • DB4VEH_I
  • DBT1VEHI
  • DBT2VEHI
  • DBT3VEHI
  • DBT4VEHI
  • ASS401TI
  • ASS401_I
  • ASSANNTI
  • ASSANN_I
  • ASSBNDTI
  • ASSBND_I
  • ASSCSBTI
  • ASSCSB_I
  • ASSDPSTI
  • ASSDPS_I
  • ASSESPTI
  • ASSESP_I
  • ASSGICTI
  • ASSGIC_I
  • ASSITTI
  • ASSIT_I
  • ASSLIFTI
  • ASSLIF_I
  • ASSLIRTI
  • ASSLIR_I
  • ASSMNMTI
  • ASSMNM_I
  • ASSMUTTI
  • ASSMUT_I
  • ASSOIVTI
  • ASSOIV_I
  • ASSRIFOI
  • ASSRIF_I
  • ASSRSPTI
  • ASSRSP_I
  • ASSSAVTI
  • ASSSAV_I
  • ASSSHRTI
  • ASSSHR_I
  • ASSSTKTI
  • ASSSTK_I
  • ASSSTPI
  • ASSTBLTI
  • ASSTBL_I
  • ASSTFSTI
  • ASSTFS_I
  • ASSCOLTI
  • ASSCOL_I
  • ASSCON_I
  • ASSOTHTI
  • ASSOTH_I
  • DBTCRCTI
  • DBTCRC_I
  • DBTDEFTI
  • DBTDEF_I
  • DBTLCHTI
  • DBTLCH_I
  • DBTLCOTI
  • DBTLCO_I
  • DBTLNOTI
  • DBTLNO_I
  • DBTMNOTI
  • DBTMNO_I
  • DBTOCCTI
  • DBTOCC_I
  • STLAMT_I
  • STLOANNI
  • STLOAN_I
  • STLOWA_I
  • BUSINDNI
  • BUSIND_I
  • BUSBVL1I
  • BUSBVL2I
  • BUSBVL3I
  • BUSDBT1I
  • BUSDBT2I
  • BUSDBT3I
  • BUSFAR1I
  • BUSFAR2I
  • BUSFAR3I
  • BUSFIB1I
  • BUSFIB2I
  • BUSFIB3I
  • BUSFIM1I
  • BUSFIM2I
  • BUSFIM3I
  • BUSINC1I
  • BUSINC2I
  • BUSINC3I
  • BUSMKT1I
  • BUSMKT2I
  • BUSMKT3I
  • BUSMVT1I
  • BUSMVT2I
  • BUSMVT3I
  • BUSPCT1I
  • BUSPCT2I
  • BUSPCT3I
  • BUSSEC1I
  • BUSSEC2I
  • BUSSEC3I
  • NAICS_S1
  • NAICS_S2
  • NAICS_S3
  • FPLINH_I
  • FPLINS_I
  • FPLINV_I
  • INHERT_I
SFS 2019
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
Person File: SFS2019PER SFS2019PER 500 WEIGHT
  • DOB
  • MOB
  • CNTYCODE
  • DV1_CODE
  • DV2_CODE
  • DV3_CODE
  • DV2_LNGA
  • DV2_LNGB
  • DV2_LNGC
Family File: SFS2019FAM SFS2019FAM 500 WEIGHT
  • CDRES
  • CMA1G
  • CMACA
  • CMAPO
  • DARES
  • CSDRES
  • ERRES
  • FEDRES
  • LATRES
  • LNRES
  • POSTCD
  • SACTYPE
  • BUSYR1
  • BUSYR2
  • BUSYR3
  • NAICS_S1
  • NAICS_S2
  • NAICS_S3
Survey of Household Spending (SHS)
Survey details
SHS 2004
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SHS2004 SHS2004 200 WEIGHT
  • CASEID
  • METRO
  • CD
  • CSD
  • STRATUM
  • TYPE
  • CLUSTER
  • HHSZD31
  • P04D31
  • P514D31
  • P1519D31
  • P2024D31
  • A2564D31
  • SE65D31
  • F413D31
  • F14D31
  • M413D31
  • M14D31
  • P015D31
  • P16D31
  • C04YE
  • C514YE
  • Y1519YE
  • P2024YE
  • P2564YE
  • P65YE
  • C015TOT
  • A16TOT
  • AGEYOUNG
  • AgeHusbandOrRefPers
  • AgeHusband
  • AgeWife
  • NUMWKS
  • HHSZTOT
  • NUMFT
  • NUMPT
  • YRMOVED
  • V138
  • NumDwgOwnOcc
  • NumMonthsOwnOcc
  • NumMonthsOccRentDwg
  • RQNUMBED
  • HHSIZYE
  • NUMVEHON
  • VEHLEASD
  • RPAGE
  • RPWEEKFT
  • RPWEEKPT
  • SPAGE
  • SPWEEKFT
  • SPWEEKPT
  • URBSIZE
SHS 2005 North
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SHS2005N SHS2005N 100 WEIGHT
  • CASEID
  • METRO
  • ER
  • CD
  • CSD
  • STRATUM
  • TYPE
  • CLUSTER
  • HHSZD31
  • P04D31
  • P514D31
  • P1519D31
  • P2024D31
  • A2564D31
  • SE65D31
  • F413D31
  • F14D31
  • M413D31
  • M14D31
  • P015D31
  • P16D31
  • C04YE
  • C514YE
  • Y1519YE
  • P2024YE
  • P2564YE
  • P65YE
  • C015TOT
  • A16TOT
  • AGEYOUNG
  • AgeHusbandOrRefPers
  • AgeHusband
  • AgeWife
  • NUMWKS
  • NUMFT
  • NUMPT
  • YRMOVED
  • V138
  • NumDwgOwnOcc
  • NumMonthsOwnOcc
  • NumMonthsOccRentDwg
  • RQNUMBED
  • HHSIZYE
  • NUMVEHON
  • VEHLEASD
  • RPWEEKFT
  • RPWEEKPT
  • SPAGE
  • SPWEEKFT
  • SPWEEKPT
  • URBSIZE
SHS 2005 South
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SHS 2005S SHS 2005S 200 WEIGHT
  • CASEID
  • METRO
  • ER
  • CD
  • CSD
  • STRATUM
  • TYPE
  • CLUSTER
  • HHSZD31
  • P04D31
  • P514D31
  • P1519D31
  • P2024D31
  • A2564D31
  • SE65D31
  • F413D31
  • F14D31
  • M413D31
  • M14D31
  • P015D31
  • P16D31
  • C04YE
  • C514YE
  • Y1519YE
  • P2024YE
  • P2564YE
  • P65YE
  • C015TOT
  • A16TOT
  • AGEYOUNG
  • AgeHusbandOrRefPers
  • AgeHusband
  • AgeWife
  • NUMWKS
  • NUMFT
  • NUMPT
  • YRMOVED
  • V138
  • NumDwgOwnOcc
  • NumMonthsOwnOcc
  • NumMonthsOccRentDwg
  • RQNUMBED
  • HHSIZYE
  • NUMVEHON
  • VEHLEASD
  • RPWEEKFT
  • RPWEEKPT
  • SPAGE
  • SPWEEKFT
  • SPWEEKPT
  • URBSIZE
SHS 2006
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SHS2006 SHS2006 200 WEIGHT
  • CASEID
  • METRO
  • ER
  • CD
  • CSD
  • STRATUM
  • TYPE
  • CLUSTER
  • P04TOI
  • P514TOI
  • P1519TOI
  • P2024TOI
  • A2564TOI
  • SE65TOI
  • F413TOI
  • F14TOI
  • M413TOI
  • M14TOI
  • P015TOI
  • P16TOI
  • AGEYOUNG
  • AgeHusbandOrRefPers
  • AgeHusband
  • AgeWife
  • HHSZTOT
  • NUMFT
  • NUMPT
  • YRMOVED
  • V138
  • NumDwgOwnOcc
  • NumMonthsOwnOcc
  • NumMonthsOccRentDwg
  • RQNUMBED
  • NUMVEHON
  • VEHLEASD
  • RPAGE
  • RPWEEKFT
  • RPWEEKPT
  • SPAGE
  • SPWEEKFT
  • SPWEEKPT
  • URBSIZE
SHS 2007 North
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SHS2007N SHS2007N 100 WEIGHT
  • CASEID
  • METRO
  • ER
  • CD
  • CSD
  • STRATUM
  • TYPE
  • CLUSTER
  • P04TOI
  • P514TOI
  • P1519TOI
  • P2024TOI
  • A2564TOI
  • SE65TOI
  • F413TOI
  • F14TOI
  • M413TOI
  • M14TOI
  • P015TOI
  • P16TOI
  • AGEYOUNG
  • AgeHusbandOrRefPers
  • AgeHusband
  • AgeWife
  • NUMFT
  • NUMPT
  • YRMOVED
  • V138
  • NumDwgOwnOcc
  • NumMonthsOwnOcc
  • NumMonthsOccRentDwg
  • RQNUMBED
  • NUMVEHON
  • VEHLEASD
  • RPWEEKFT
  • RPWEEKPT
  • SPAGE
  • SPWEEKFT
  • SPWEEKPT
  • URBSIZE
SHS 2007 South
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SHS2007S SHS2007S 200 WEIGHT
  • CASEID
  • METRO
  • ER
  • CD
  • CSD
  • STRATUM
  • TYPE
  • CLUSTER
  • P04TOI
  • P514TOI
  • P1519TOI
  • P2024TOI
  • A2564TOI
  • SE65TOI
  • F413TOI
  • F14TOI
  • M413TOI
  • M14TOI
  • P015TOI
  • P16TOI
  • AGEYOUNG
  • AgeHusbandOrRefPers
  • AgeHusband
  • AgeWife
  • NUMFT
  • NUMPT
  • YRMOVED
  • V138
  • NumDwgOwnOcc
  • NumMonthsOwnOcc
  • NumMonthsOccRentDwg
  • RQNUMBED
  • NUMVEHON
  • VEHLEASD
  • RPWEEKFT
  • RPWEEKPT
  • SPAGE
  • SPWEEKFT
  • SPWEEKPT
  • URBSIZE
SHS 2008
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SHS2008 SHS2008 200 WEIGHT
  • CASEID
  • METRO
  • ER
  • CD
  • CSD
  • STRATUM
  • TYPE
  • CLUSTER
  • P04TOI
  • P514TOI
  • P1519TOI
  • P2024TOI
  • A2564TOI
  • SE65TOI
  • F413TOI
  • F14TOI
  • M413TOI
  • M14TOI
  • P015TOI
  • P16TOI
  • AGEYOUNG
  • AgeHusbandOrRefPers
  • AgeHusband
  • AgeWife
  • HHSZTOT
  • NUMFT
  • NUMPT
  • YRMOVED
  • V138
  • NumDwgOwnOcc
  • NumMonthsOwnOcc
  • NumMonthsOccRentDwg
  • RQNUMBED
  • NUMVEHON
  • VEHLEASD
  • RPAGE
  • RPWEEKFT
  • RPWEEKPT
  • SPAGE
  • SPWEEKFT
  • SPWEEKPT
  • URBSIZE
SHS 2009 North
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SHS2009N SHS2009N 100 WEIGHT
  • CASEID
  • METRO
  • ER
  • CD
  • CSD
  • STRATUM
  • TYPE
  • CLUSTER
  • P04TOI
  • P514TOI
  • P1519TOI
  • P2024TOI
  • A2564TOI
  • SE65TOI
  • F413TOI
  • F14TOI
  • M413TOI
  • M14TOI
  • P015TOI
  • P16TOI
  • AGEYOUNG
  • AgeHusbandOrRefPers
  • AgeHusband
  • AgeWife
  • NUMFT
  • NUMPT
  • YRMOVED
  • V138
  • NumDwgOwnOcc
  • NumMonthsOwnOcc
  • NumMonthsOccRentDwg
  • RQNUMBED
  • NUMVEHON
  • VEHLEASD
  • RPWEEKFT
  • RPWEEKPT
  • SPAGE
  • SPWEEKFT
  • SPWEEKPT
  • URBSIZE
SHS 2009 South
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SHS2009S SHS2009S 200 WEIGHT
  • CASEID
  • METRO
  • ER
  • CD
  • CSD
  • STRATUM
  • TYPE
  • CLUSTER
  • P04TOI
  • P514TOI
  • P1519TOI
  • P2024TOI
  • A2564TOI
  • SE65TOI
  • F413TOI
  • F14TOI
  • M413TOI
  • M14TOI
  • P015TOI
  • P16TOI
  • AGEYOUNG
  • AgeHusbandOrRefPers
  • AgeHusband
  • AgeWife
  • NUMFT
  • NUMPT
  • YRMOVED
  • V138
  • NumDwgOwnOcc
  • NumMonthsOwnOcc
  • NumMonthsOccRentDwg
  • RQNUMBED
  • NUMVEHON
  • VEHLEASD
  • RPWEEKFT
  • RPWEEKPT
  • SPAGE
  • SPWEEKFT
  • SPWEEKPT
  • URBSIZE
SHS 2010
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS2010C SHS_CAPI 500 WEIGHTC
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • PERSONNO
  • RVNUM
  • VEHNUM
Diary File: SHS2010D SHS_DIARY 1000 WEIGHTD
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • PERSONNO
  • RVNUM
  • VEHNUM
SHS 2011
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS2011C SHS_CAPI 500 WEIGHTC
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • PERSONNO
  • RVNUM
  • VEHNUM
Diary File: SHS2011D SHS_DIARY 1000 WEIGHTD
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • PERSONNO
  • RVNUM
  • VEHNUM
SHS 2012
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS2012C SHS_CAPI 500 WEIGHTC
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • PERSONNO
  • RVNUM
  • VEHNUM
Diary File: SHS2012D SHS_DIARY 1000 WEIGHTD
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • PERSONNO
  • RVNUM
  • VEHNUM
SHS 2013
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS2013C SHS_CAPI 500 WEIGHTC
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • PERSONNO
Diary File: SHS2013D SHS_DIARY 1000 WEIGHTD
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • PERSONNO
SHS 2014
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS2014C SHS_CAPI 500 WEIGHTC
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
Diary File: SHS2014D SHS_DIARY 1000 WEIGHTD
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
SHS 2015
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS2015C SHS_CAPI 500 WEIGHTC
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
Diary File: SHS2015D SHS_DIARY 1000 WEIGHTD
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • CSDuid
SHS 2016
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS2016C SHS_CAPI 500 WEIGHTC
  • CollMth
  • CASEID
  • DATE_Q02
  • Personno
  • UrbanSize
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CSDuid
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
Diary File: SHS2016D SHS_DIARY 1000 WEIGHTD
  • CASEID
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
SHS 2017 Rebased Files
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS2017C SHS_CAPI 500 WEIGHTC
  • CollMth
  • CASEID
  • CMACA
  • UrbanSize
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CSDuid
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
Diary File: SHS2017D SHS_DIARY 1000 WEIGHTD
  • CASEID
  • CollMth
  • CSDuid
  • UrbanSize
  • CMACA
  • CITY
  • ECONOMICREGION
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
SHS 2019
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File Household: SHS2019CH HHLD_C 500 WEIGHTC
  • COLLMTH
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • CITY
  • URBANSIZE
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CSDUID
  • ECONOMICREGION
  • CMACA
  • CASEID
  • TE_Q060
Diary Household File: SHS2019DH HHLD_D 1000 WEIGHTD
  • COLLMTH
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • CITY
  • URBANSIZE
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CSDUID
  • ECONOMICREGION
  • CMACA
  • CASEID
  • TE_Q060
SHS 2010 to 2013 Pooled Files
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS201013C SHS_CAPI 50 WEIGHTC
  • COLLMTH
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • CITY
  • URBANSIZE
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CSDUID
  • ECONOMICREGION
  • CASEID
Diary File: SHS201013D SHS_DIARY 100 WEIGHTD
  • COLLMTH
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • CITY
  • URBANSIZE
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CSDUID
  • ECONOMICREGION
  • CASEID
SHS 2012 to 2015 Pooled Files
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS201215C SHS_CAPI 50 WEIGHTC
  • COLLMTH
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • CITY
  • URBANSIZE
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CSDUID
  • ECONOMICREGION
  • CASEID
Diary File: SHS201215D SHS_DIARY 100 WEIGHTD
  • COLLMTH
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • CITY
  • URBANSIZE
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CSDUID
  • ECONOMICREGION
  • CASEID
SHS 2014 to 2017 Pooled Files
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS201417C SHS_CAPI 50 WEIGHTC
  • COLLMTH
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • CITY
  • URBANSIZE
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CSDUID
  • ECONOMICREGION
  • CASEID
Diary File: SHS201417D SHS_DIARY 150 WEIGHTD
  • COLLMTH
  • CVR_HHLDSTRATUM
  • CVR_HHLDTYPE
  • CVR_HHLDCLUSTER
  • CITY
  • URBANSIZE
  • CENSUSDIVISION
  • CENSUSSUBDIVISION
  • CSDUID
  • ECONOMICREGION
  • CASEID
SHS 2021
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
CAPI File: SHS2021CH SHS2021CH 500 WEIGHTC
  • CASEID
  • COLLMTH
  • STRATUM
  • TYPE
  • CLUSTER
  • CITY
  • URBSIZE
  • CD
  • CSD
  • CSDUID
  • ECREGION
  • CMACA
  • DA
  • TE_Q060
Diary File: SHS2021DH SHS2021DH 1000 WEIGHTD
  • CASEID
  • COLLMTH
  • STRATUM
  • TYPE
  • CLUSTER
  • CITY
  • URBSIZE
  • CD
  • CSD
  • CSDUID
  • ECREGION
  • CMACA
  • DA
  • TE_Q060
Survey of Labour and Income Dynamics (SLID)
Survey details
SLID
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SLIDQRY SLIDQRY 1000 RTRAVAR
  • CA
  • CMA
Survey of Older Workers (SOW)
Survey details
SOW 2008
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SOW2008 SOW2008 500 WTPM
  • CMATAB
  • CMA
  • GCMA
  • ERTAB
Survey of Young Canadians (SYC)
Survey details
SYC 2010
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SYC2010 SYC_CHILD 250 WTPM
  • PSTRAT
  • NOCP4
  • NOCS4
  • NAICSP4
  • NAICSS4
  • INTVDATE
  • PCODE
  • DAUID
  • CMACA
Survey on Access to Health Care and Pharmaceuticals During the Pandemic (SAHCPDP)
Survey details
SAHCPDP 2021
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SAHCPDP21 SAHCPDP21 100 WTS_M  
Survey on Before and After School Care in Canada (SBASCC)
Survey details
SBASCC 2022
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SBASCC2022 SBASCC2022 100 WTMP
  • VERDATE
    AGE_01C
    PMK_35C
Survey on Early Learning and Child Care Arrangements (SELCCA)
Survey details
SELCCA2019
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SELCCA2019 SELCCA 1000 WTPM
  • MASTERID
  • PMK_35C
  • AGE_01C
  • VERDATE
  • AGE_01A
  • PMK_AGE
SELCCA2020
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SELCCA2020 SELCCA_2020 100 WTMP
  • VERDATE
  • MASTERID
  • PMK_AGE
  • AGE_01A
  • AGE_01C
  • PMK_35C
SELCCA2022
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SELCCA2022 SELCCA_2022 100 WTMP
  • VERDATE
  • MASTERID
  • PMK_AGE
  • AGE_01A
  • AGE_01C
  • PMK_35C
Survey on Health Care Workers’ Experiences During the Pandemic (SHCWEP)
Survey details
SHCWEP2021
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SHCWEP2021 SHCWEP2021 50 WTS_M  
Survey on Living with Chronic Diseases in Canada (SLCDC): Arthritis
Survey details
SLCDC 2009A
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SLCDC2009A SLCDC2009A 500 WTSX_S
  • GEODPC
  • GEODHR4
  • GEODLHN
  • GEODDA06
  • GEODDA01
  • GEODFED
  • GEODCSD
  • GEODCD
  • GEODSAT
  • GEODCMA6
  • GEODCMA1
  • GEODPRG
  • GEOXDREG
  • GEODUR
  • GEODUR2
  • GEODPSZ
Survey on Living with Chronic Diseases in Canada (SLCDC): Diabetes and Respiratory Conditions
Survey details
SLCDC 2011
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SLCDC2011
  • DIAB
  • RESP
500 WTSX_S
  • SAMPLEID
  • ADMX_N12
  • ADMX_LHH
  • ADMX_YOI
  • ADMX_MOI
  • ADMX_DOI
  • ADMX_01
  • ADMX_02
  • ADMX_03
  • ADMX_06
  • ADMX_11
  • ADMX_12
  • ADMX_13
  • ADMX_14
  • SAMDSHR
  • SAMDLNK
  • VERDATE
  • REFPER
  • GEODPC
  • GEODDA06
  • GEODFED
  • GEODCSD
  • GEODCD
  • GEODSAT
  • GEODCMA6
  • SAM_CP
  • SAM_TYP
  • ADM_STA
  • ADM_PRX
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • ADM_N09
  • ADM_N10
  • ADM_N11
  • ADM_N12
  • ADM_LHH
  • DHH_DOB
  • INWCSIC
  • INWCSOC
  • LBSCSIC
  • LBSCSOC
  • SDC_1
  • SDCCCB
  • INCDADR
Survey on Living with Chronic Diseases in Canada (SLCDC): Hypertension
Survey details
SLCDC 2009H
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SLCDC2009H SLCDC2009H 500 WTSX_S
  • GEODPC
  • GEODHR4
  • GEODLHN
  • GEODDA06
  • GEODDA01
  • GEODFED
  • GEODCSD
  • GEODCD
  • GEODSAT
  • GEODCMA6
  • GEODCMA1
  • GEODPRG
  • GEODUR
  • GEODUR2
  • GEODPSZ
Survey on Living with Chronic Diseases in Canada (SLCDC): Mood and Anxiety Disorders
Survey details
SLCDC 2014
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SLCDC2014 SLCDC 500 WTSX_S
  • VERXDATE
  • ADMX_N12
  • ADMX_LHH
  • INTXDATE
  • ADMX_Y01
  • ADMX_M01
  • ADMX_D01
  • ADMX_02
  • ADMX_03
  • ADMX_04
  • VERDATE
  • REFPER
  • PERSONID
  • GEODCMAA
  • GEODDA11
  • GEODPC
  • GEODDA06
  • GEODFED
  • GEODCSD
  • GEODCD
  • GEODSAT
  • GEODSUBZ
  • SAMP_CP
  • SAM_TYP
  • CASETYPE
  • SAMDSHR
  • SAMDLNK
  • ADM_STA
  • ADM_PRX
  • ADM_YOI
  • ADM_MOI
  • ADM_DOI
  • ADM_N09
  • ADM_N10
  • ADM_N11
  • ADM_N12
  • DHH_DOB
  • SDCCCB13
  • SDCC5B1
  • SDCC5B2
  • SDCC5B3
  • SDCC61
  • SDCC62
  • SDCC63
  • INWCSIC
  • INWCSOC
  • INCFIMP4
  • INCDADR
  • LBSCSIC
  • LBSCSOC
Survey on Maternal Health (SMH)
Survey details
SMH 2018
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SMH2018 SMH 10 WTPM
  • COL_MODE
  • COL_LANG
  • COL_DATE
  • VERDATE
  • MASTERID
  • DEM1_15
  • DEM1_20
  • EXPDAGEC
Survey Series on First Nations People, Métis and Inuit (SSFNPMI)
Survey details
SSFNPMI 2024
Tag Name Dataset Name Rounding Base Weight Name Deleted Variables
SSFNPMI SSFNPMI 100 WGT
  • SEX
  • GENDER3
  • DHLOS
  • SOR_01

Application process and guidelines- DLI

The form “DLI Program Membership” must be completed to apply for the Data Liberation Initiative (DLI) program.

If you wish to access Postal Code Conversion File (PCCF), the Social Policy Simulation Database and Model (SPSD/M) or the Discharge Abstract Database (DAD), please complete the Section 1, Section 2 and Section 3 forms.

Supporting documents for application

To access the program Membership Form and Licences, please select from the links below:

Fees - DLI

Institutions belonging to the Canadian Association of Research Libraries (CARL) pay $12,000 per year. The non-CARL institutions pay $3,000 per year.

A Data Liberation Initiative (DLI) annual membership runs from April 1st to March 31st. Institutions can join at any time of the year at a prorated fee.

Training and events - DLI

Calendar of events

List of upcoming Data Liberation Initiative (DLI) regional training sessions, webinars and events.

Meetings and regional training

The next External Advisory Committee Members meeting dates will be held on: 

  • May 13th, 2024
  • October 7th, 2024
  • December 2nd, 2024
  •  February 10th, 2025

The next DLI Training event will be held during the week of May 27, 2024.

Let us know what you'd like to see at the next DLI Training! Get in touch with your regional training coordinator with your ideas.

Check out the Event Archive for details about past DLI Training events.

Training materials

DLI Survival Guide
This Guide serves as a reference document for DLI contacts at participating institutions across Canada.

DLI Training Repository
The Training Repository contains presentations from DLI training sessions and workshops. The Repository also contains other related presentations and workshops, both national and international.