Summary

The Record Linkage Workshop will be a tour of linkage and linked data for RDC researchers. We will survey different types of linkage and their applications. We will dig a bit deeper on probabilistic record linkage, which is a key type performed at Statistics Canada, before giving some techniques and tips for analysis using linked data. We will also describe some critical resources – the Social Data Linkage Environment and the Record Linkage Resource Centre, including their role in getting you access to linked data for your project.

Come to this workshop if you are wondering what linked data can do for you, or if you anticipate leading a project that would benefit from access to linked data and want to know how to get it.

Topics

• Types of record linkage
• Probabilistic record linkage overview
• Analysis using linked data
• Social Data Linkage Environment and Getting access to linked data
• Record Linkage Resource Centre overview

Summary

This workshop will provide a detailed exploration of the Canadian Employer-Employee Dynamics Database (CEEDD) and its subset, the Business Employee Analytical Microdata (BEAM). Participants will gain a deeper understanding of the structure and features of these datasets. The session will highlight the distinctions between the CEEDD and BEAM, alongside examples of research that have been undertaken using these resources.

Topics

Part 1: Exploring the Structure and Research Potential of the CEEDD and BEAM

The first part of the workshop will examine the structure of the CEEDD and its subset, the BEAM. The session will highlight the key differences between the CEEDD and BEAM, focusing on their unique features and complementary strengths. Participants will also explore the wide range of research opportunities enabled by these datasets. Illustrative examples will demonstrate how the CEEDD and BEAM can be leveraged to address critical social, economic and policy questions, underscoring their value for both academic and applied research.

Part 2: Examples of research using Statistics Canada’s matched employer-employee data

Adapting to Change: The COVID-19 Impact on Self-Employment Transitions in Canada

This paper leverages the CEEDD for the period 2017–2021 to examine the impact of the COVID-19 pandemic on the dynamics of self-employment entry and exit. Specifically, it quantifies how the pandemic acted as a trigger for transitions into and out of self-employment. The analysis focuses on changes in the class of worker—paid employment (PE), unincorporated self-employment (USE), and incorporated business ownership (IBO)—at the individual level during the study period. Additionally, the study investigates the influence of pre-pandemic worker characteristics on job transition choices, such as shifts from PE to either USE or IBO, and vice versa.

Impact of job displacement on earnings of workers in high-emission industries in Canada

As Canada and some other countries from the Organisation for Economic Co-operation and Development (OECD) transition towards a net-zero greenhouse gas (GHG) emission economy, there may be concerns regarding its implications on jobs and hence earnings of workers employed in GHG-intensive industries. Statistics Canada participated in an OECD study using matched employer-employee data across 14 OECD countries to examine the impact of job displacement on earnings trajectories of workers in high-emission industries. High-emission industries represented approximately 10% of employment in Canada from 2001 to 2019.

Summary

This workshop will provide information on recent empirical housing research projects at Statistics Canada and will provide detailed information on key Statistics Canada datasets available in the research data centers (RDC).

Topics

Part 1: In-depth presentation of key housing microdata available in the RDCs

The first part of the workshop will provide information and hands-on guidance on housing microdata available in the RDCs. Workshop participants will hear from presenters on the Canadian Housing Statistics Program, the Canadian Housing Survey, as well as new custom data in the RDCs, such as longitudinal income and employment files for inhabitants of social and affordable housing, housing first programs and emergency relief shelters to describe impacts of non-market housing and homelessness.

Part 2: Examples of recent research on housing at Statistics Canada

Housing Use Projections for Immigrants and Non-Permanent Residents

This study explores key factors influencing the aggregate housing use of immigrants and non-permanent residents, including transitions from temporary to permanent residency, retention patterns of new immigrants, and historical housing occupancy trends observed from the 2016 to 2021 censuses. Building on these factors, it estimates the demand for owned and rented housing units corresponding to planned immigration levels from 2025 to 2030.

Renters’ Shelter Costs by Duration of Tenancy

Using Census of population and National Household Survey data, this study sheds light on trends in shelter cost differences by duration of tenancy from 1996 to 2021, and how this gap in rental costs between recent renters and longer-term renters varies across municipalities and neighbourhoods. Findings show that the gap between recent and long-term renters’ shelter costs have widened over the study period, and that tenure-based gaps in rental costs are pervasive beyond the priciest housing markets of Toronto and Vancouver.

Investors in Residential Real Estate

This research project provides detailed information on residential real estate investors and the properties they own in the select provinces, based on data from the Canadian Housing Statistics Program (CHSP). It documents the demographic characteristics of investors, including age, sex and immigration status. It also looks at the geographic distribution of investors in certain provinces.

Introducing the Housing Hardship measure

Housing hardship is a residual income measure that assesses whether households can afford basic necessities such as food, clothing, and transportation after paying for housing. CMHC researchers used Census 2016 and 2021 microdata to develop new insights about housing affordability that have not been previously observed using existing housing needs indicators.

Statistics Canada is pleased to host the Canadian Research Data Centre Network (CRDCN) 2025 preconference workshops in Ottawa on May 12, 2025!

The in-person, afternoon event will bring together CRDCN conference attendees to explore exciting new Statistics Canada data and methods with a Statistics Canada Research Data Centre (RDC) focus. Workshops are open to attendees of the CRDCN 2025 conference.

Participants will have the opportunity to hear from some of Statistics Canada’s subject matter and record linkage experts and engage in discussions to help shape their future research.

There will be 3 concurrent workshops from 1:00 to 3:30 p.m. EST at Statistics Canada in Ottawa:

Housing microdata and empirical research projects at Statistics Canada

• This workshop will discuss recent empirical housing research projects at Statistics Canada and will provide detailed information on key datasets available in the RDCs.

Matched Employer-Employee microdata and examples of research

• This workshop will provide a detailed exploration of the Canadian Employer-Employee Dynamics Database (CEEDD) and its subset, the Business Employee Analytical Microdata (BEAM). The session will highlight the distinctions between the CEEDD and BEAM, including examples of research that have been undertaken using these resources.

Workshop on record linkage and linked data

• This workshop will be a tour of linkage and linked data for RDC researchers, including tips and techniques for analysis using linked data. If you are wondering what linked data can do for you, this is the workshop for you.

Payment

There is no cost to attend.

Registration

Space is limited. Register for one of the three workshops through the following link: Registration Form: Canadian Research Data Centre Network (CRDCN) 2025 preconference workshops. Registration deadline is April 15th, 2025.

Location

The workshops will be held at Statistics Canada, 170 Tunney's Pasture Driveway, Ottawa, Ontario. Statistics Canada is accessible from downtown Ottawa by public transit or car (paid parking available on site).

For participants

The workshops will be presented in English with bilingual material available. Questions can be asked in either English or French.

Workshop sign-in information and room location will be provided by email in advance of the workshop.

Centre for Energy and Transportation Statistics
Energy Section

Gas distributors are establishments primarily engaged in the distribution of natural or synthetic gas to the ultimate consumers through a system of mains.

Amounts: Report amounts in Gigajoules (GJs) of natural gas received and delivered during the month under review.

Value (cost to customer): dollar values exclude provincial taxes (if applicable), goods and services tax (GST) and harmonized sales tax (HST). Further, rebates paid to the customer should be deducted in order to arrive at "value".

Confidentiality

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

Table of contents

• A – General Information: Purpose of survey, Data-sharing agreements and Data linkage
• B – Reporting Instructions
• C – Supply of Natural Gas Unit of Measure
• D – Receipts from Transmission Pipelines
• E – Receipts from Storage Facilities
• F – Receipts from Other Gas Distributors
• G – Total Supply of Natural Gas
• H – Average Heating Value in Gigajoules/Thousand Cubic Meters
• I – Deliveries to System Gas Consumers
• J – Deliveries to Consumers Enrolled with a Third Party Marketer
• K – Deliveries to Consumers who have Purchased Directly from Suppliers
• L – Deliveries to Power Generation Plants
• M – Deliveries to Other Industrial Consumers
• N – Deliveries to Commercial and Institutional Consumers
• O – Deliveries to Residential Consumers
• P – Deliveries to Transmission Pipelines
• Q – Deliveries to Storage Facilities
• R – Deliveries to Other Gas Distributors
• S – Own Use
• T – Line Pack Fluctuation
• U – Metering Differences, Line Loss, Other Unaccounted for and Cyclical Billing Adjustments
• V – Average Heating Value in Gigajoules/Thousand Cubic Meters
• W – Total Disposition

A - General information

Purpose of survey

The purpose of this survey is to obtain information on the supply of, and demand for, energy in Canada. This information serves as an important indicator of Canadian economic performance, and is used by all levels of government in establishing informed policies in the energy area. In the case of public utilities, it is used by governmental agencies to fulfill their regulatory responsibilities. The private sector also uses this information in the corporate decision-making process. Your information may also be used by Statistics Canada for other statistical and research purposes.

Data-sharing agreements

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

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

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

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

Section 12 of the Statistics Act provides for the sharing of information with federal, provincial or territorial government organizations. Under Section 12, you may refuse to share your information with any of these organizations by writing a letter of objection to the Chief Statistician and returning it with the completed questionnaire. Please specify the organizations with which you do not want to share your data.

For this survey, there are Section 12 agreements with the statistical agencies of Prince Edward Island, the Northwest Territories and Nunavut as well as with the provincial and territorial government ministries responsible for the energy sector, the Canada Energy Regulator, Natural Resources Canada, and Environment and Climate Change Canada.

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

Data linkage

To enhance the data from this survey, Statistics Canada may combine it with information from other surveys or from administrative sources.

B - Reporting Instructions

Please report information for a specific reference month 2025.

Please complete all sections as applicable.

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

This guide is designed to assist you as you complete the Monthly Natural Gas Distribution Survey. If you need more information, please call 1-877-604-7828.

C - Supply of Natural Gas Unit of Measure

Amounts: report amounts (1000m3 or Gigajoules) of natural gas received and delivered during the month under review.

D - Receipts from Transmission Pipelines

Report volumes of gas received from transmission pipelines (NAICS 486210) connected directly to your company's distribution system.

Transmission pipelines are establishments primarily engaged in the pipeline transportation of natural gas from gas fields or processing plants to local distribution systems.

E - Receipts from Storage Facilities

Report volumes of gas received from storage facilities (NAICS 493190) connected directly to your company's distribution system.

Storage facilities include natural gas storage caverns and liquefied natural gas storage, but exclude establishments primarily engaged liquefaction and regasification of natural gas for purposes of transport (NAICS 488990).

F - Receipts from Other Gas Distributors

Report volumes of gas received from other gas distributors (NAICS 221210) connected directly to your company's distribution system.

Gas distributors are establishments primarily engaged in the distribution of natural or synthetic gas to the ultimate consumers through a system of mains.

G - Total Supply of Natural Gas

Report total volumes of gas received.

H - Average Heating Value in Gigajoules/Thousand Cubic Meters

Report average heat content of your natural gas receipts for the reported reference month.

Disposition

I - Deliveries to System Gas Consumers

Report deliveries of utility-purchased natural gas to consumers. Report the quantity and value of the natural gas delivered and the number of customers.

J - Deliveries to Consumers Enrolled with a Third Party Marketer

Report deliveries to consumers who have purchased their natural gas through a gas marketer or broker. Report the quantity and value of natural gas delivered and the number of customers.

K - Deliveries to Consumers who have Purchased Directly from Suppliers

Report deliveries to consumers who have purchased their natural gas directly from suppliers. Report the quantity of natural gas delivered and the number of customers.

L - Deliveries to Power Generation Plants

Report gas delivered to electric power generation plants (NAICS 2211) connected directly to your company's distribution system (at metered interconnections).

This industry comprises establishments primarily engaged in the generation of bulk electric power by natural gas.

M - Deliveries to Other Industrial Consumers

Report gas delivered to industrial establishments other than power generation plants.

Inclusions:

• Agriculture and forestry
• Mining, quarrying, and oil and gas extraction
• Construction
• Manufacturing

Exclusions:

• Electric power generation
• Wholesale and retail trade
• Transportation and warehousing
• Other commercial buildings (e.g., public institutions)
• Natural gas transmission pipelines
• Natural gas storage facilities
• Natural gas distributors

N - Deliveries to Commercial and Institutional Consumers

Report gas delivered to commercial and institutional establishments.

Inclusions:

• Wholesale and retail trade
• Transportation and warehousing
• Other commercial buildings (e.g., public institutions)

O - Deliveries to Residential Consumers

Report gas delivered for domestic use (including multi-dwelling apartments).

P - Deliveries to Transmission Pipelines

Report volumes of gas delivered to transmission pipelines (NAICS 486210) connected directly to your company's distribution system.

Transmission pipelines are establishments primarily engaged in the pipeline transportation of natural gas from gas fields or processing plants to local distribution systems.

Q - Deliveries to Storage Facilities

Report volumes of gas delivered to storage facilities (NAICS 493190) connected directly to your company's distribution system.

Storage facilities include natural gas storage caverns and liquefied natural gas storage but exclude establishments primarily engaged liquefaction and regasification of natural gas for purposes of transport (NAICS 488990).

R - Deliveries to Other Gas Distributors

Report volumes of gas deliveries to other gas distributors (NAICS 221210) connected directly to your company's distribution system.

Gas distributors are establishments primarily engaged in the distribution of natural or synthetic gas to the ultimate consumers through a system of mains.

S - Own Use

Report volumes of gas consumed in operating your pipeline system.

T - Line Pack Fluctuation

Report differences in the pipeline system due to changes of temperature and/or pressure.

U - Metering Differences, Line Loss, Other Unaccounted for and Cyclical Billing Adjustments

Report the difference between the total supply and total disposition. This difference includes leakage or other losses, discrepancies due to meter inaccuracies and other variants, particularly billing lag.

V - Average Heating Value in Gigajoules/ Thousand Cubic Meters

Report the average heat content of your total natural gas disposition for the reference month.

W - Total Disposition

Report total volumes of gas disposition.

Thank you for your participation.

In February 2025, questions measuring the Labour Market Indicators were added to the Labour Force Survey as a supplement.

Questionnaire flow within the collection application is controlled dynamically based on responses provided throughout the survey. Therefore, some respondents will not receive all questions, and there is a small chance that some households will not receive any questions at all. This is based on their answers to certain LFS questions.

Labour Market Indicators

ENTRY_Q01 / EQ 1 - From the following list, please select the household member that will be completing this questionnaire on behalf of the entire household.

WFH_Q01 / EQ 2 - At the present time, in which of the following locations do you usually work as part of your main job or business?

1. At a fixed location outside the home
2. Outside a home with no fixed location
3. At home

WFH_Q02 / EQ 3 - Last week, what proportion of your work hours did you work at home as part of your main job or business?

1. All hours at home
2. More than half, but not all at home
3. One quarter to half at home
4. Less than a quarter at home
5. No hours at home

MOV_Q01 / EQ 4 - Would you move to another location in the province if a suitable job were offered?

1. Yes
2. No

MOV_Q03 / EQ 5 - What would be the main reason why you would not move to another location in the province?

1. To stay close to family and friends
2. To take care of relatives
3. Spouse or children would not want to move
4. Housing is too expensive elsewhere
5. Moving would be too demanding
6. Moving would not be feasible for financial reasons
7. Language barriers
8. Other

MOV_Q02/ EQ 6 - Would you move to another province if a suitable job were offered?

1. Yes
2. No

MOV_Q04/ EQ 7 - What would be the main reason why you would not move to another province?

1. To stay close to family and friends
2. To take care of relatives
3. Spouse or children would not want to move
4. Housing is too expensive elsewhere
5. Moving would be too demanding
6. Moving would not be feasible for financial reasons
7. Your credentials are not recognized outside your province
8. Language barriers
9. Other