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

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A – Reporting Instructions
B – Supply of Natural Gas Unit of Measure
C – Imports
D – Receipts from Domestic Sources
E – Average Heating Value in Gigajoules/ Thousand Cubic Meters
F – Exports (Specify Port of Exit)
G – Domestic Deliveries
H – Report Amounts of Gas Delivered to Consumers
I – Liquefied Natural Gas (LNG) Marine Terminals
J – Consumed Own Fuel
K – Line Pack Fluctuation
L – Metering Differences, Line Loss, Other Unaccounted Adjustments
M – In-transit Shipments of Natural Gas
N – Ex-transit Shipments
O – Thousands of Cubic Metre Kilometres (103m3km)

A – Reporting Instructions

Please report information for a specific reference month 2016.

Please complete all sections as applicable.

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

This guide is designed to assist you as you complete the Monthly Natural Gas Transmission Survey 2016. If you need more information, please call 1-877-604-7828.

SUPPLY

B – Supply of Natural Gas Unit of Measure

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

C – Imports

Report total amount of natural gas carried into Canada, by port of entry.

Inclusion: amounts of gas moving in transit (example from the U.S., through Canada, and back into the U.S.)

Exclusion: Receipts from Liquefied Natural Gas (LNG) marine terminals

D – Receipts from Domestic Sources

Report volumes of gas received from sources such as:

  • Fields
    • Report amounts of gas received from fields connected directly to your company’s transmission system.  Field flared and waste and re-injection should be deducted from this amount.
  • Field plants
    • Report amounts of gas received at the processing or re-processing plant gate after the deduction of shrinkage, plant uses and losses.
       
    • Exclusions:
      • Natural Gas Liquids (NGL) fractionation plants;
      • mainline straddle plants;
  • Gas gathering systems
    • Report amounts of gas received from gas gathering systems connected directly to your company’s transmission system. 
  • Natural Gas Liquids (NGL) fractionation plants and mainline straddle plants
    • Exclusion:
      • Field gas plant
  • Other transmission pipelines
    • Report amounts of gas received from other transmission pipelines (NAICS 486210) connected directly to your company’s transmission system.
    • Transmission pipelines are establishments primarily engaged in the pipeline transportation of natural gas, from gas fields or processing plants to local distribution systems.
  • Storage facilities
    • Report amounts of gas received from storage facilities (NAICS 493190) connected directly to your company’s transmission system.
    • Storage facilities include natural gas storage caverns and liquefied natural gas storage but exclude establishments primarily engaged liquefaction and regassification of natural gas for purposes of transport (NAICS 488990).
  • Distributors (utility distribution systems)
    • Report amounts of gas received from gas distributors (NAICS 221210) connected directly to your company’s transmission system.
    • Gas distributors are establishments primarily engaged in the distribution of natural or synthetic gas to the ultimate consumers through a system of mains.
  • Liquefied Natural Gas (LNG) marine terminals
    • Report amounts of gas received from LNG marine terminals (NAICS 488990) connected directly to your company’s transmission system.
    • LNG marine terminals are establishments primarily engaged liquefaction and regassification of natural gas for purposes of transport.

E – Average Heating Value in Gigajoules/Thousand Cubic Meters

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

DISPOSITION

F – Exports, Specify Port of Exit

Report total amount of natural gas this transmission pipeline physically exported from Canada to the United States, by port of exit.

  • Inclusion: amounts of gas moving ex transit (example from Canada, through the U.S., and back into Canada)
  • Exclusion: Deliveries to Liquefied Natural Gas (LNG) marine terminals

G – Domestic Deliveries

Report amount of natural gas delivered to facilities and pipelines such as:

Natural Gas Liquids (NGL) fractionation plants and mainline straddle plants

  • Exclusion:
    • Field gas plants

Other transmission pipelines

  • Report amounts of gas delivered to other transmission pipelines (NAICS 486210) connected directly to your company’s transmission system.
  • Transmission pipelines are establishments primarily engaged in the pipeline transportation of natural gas, from gas fields or processing plants to local distribution systems.

Storage facilities

  • Report amounts of gas delivered to storage facilities (NAICS 493190) connected directly to your company’s transmission system.
  • Storage facilities include natural gas storage caverns and liquefied natural gas storage but exclude establishments primarily engaged liquefaction and regassification of natural gas for purposes of transport (NAICS 488990).

Distributors (utility distribution systems)

  • Report amounts of gas delivered to storage facilities (NAICS 493190) connected directly to your company’s transmission system.
  • Storage facilities include natural gas storage caverns and liquefied natural gas storage but exclude establishments primarily engaged liquefaction and regassification of natural gas for purposes of transport (NAICS 488990).

H – Report Amounts of Gas Delivered to Consumers

Industrial power generation plants

  • Report gas delivered to electric power generation plants (NAICS 2211) connected directly to your company’s transmission system.
  • This industry comprises establishments primarily engaged in the generation of bulk electric power, by natural gas.

Other industrial

  • 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

Commercial and institutional

Report gas delivered to commercial and institutional establishments.

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

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".

I – Liquefied Natural Gas (LNG) Marine Terminals

Report amounts of gas delivered to LNG marine terminals (NAICS 488990) connected directly to your company’s transmission system.

LNG marine terminals are establishments primarily engaged liquefaction and regassification of natural gas for purposes of transport.

J – Consumed Own Fuel

Report amount of gas consumed to fuel this transmission system.

K – Line Pack Fluctuation

Report the change in line pack between the first and last day of the reference month.

L – Metering Differences, Line Loss, Other Unaccounted Adjustments

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

M – In-transit Shipments of Natural Gas

Report total amount of natural gas received into Canada with the intention of exporting it back to the United States. (Re-Export)

N – Ex-transit Shipments

Report total amount of natural gas delivered to the United States with the intention of importing it back to Canada. (Re-Import)

O – Thousands of Cubic Metre Kilometres (103m3km)

Please report the volume of natural gas transmitted (in 103m3) multiplied by the distance (in km) each shipment has travelled.

Example:
Step 1) 2 000 cubic metres transported over 5 km is equal to 10 000 cubic metre km.
Step 2) To report in 103m3km, divide 10 000 cubic metre km by 1000, which equals 10 cubic metre km.

Thank you for your participation.

Reporting guide

Text begins

1. Reporting instructions

The following provides information to assist in completing the Monthly Coal Survey.
For assistance in completing this questionnaire, please call: 1-877-604-7828.

  • There are 2 separate coal products: Raw coal and clean coal. Clean coal section further subdivides in Metallurgical and Thermal coal.
  • For each product, please report to the nearest metric tonne and dollar. Do not duplicate amounts.
  • If the exact tonnages are not available, please provide your best estimate.
  • Please keep a copy of the questionnaire for your records.

2. Definitions

Bituminous Coal - A dense, black coal, often with well-defined bands of bright and dull material with a moisture content usually less than 20 per cent. Often referred to as soft coal it is used primarily for generating electricity, making coke and space heating.

Sub-bituminous Coal - A black coal used primarily for thermal generation with moisture content between 15 and 30 per cent.

Lignite - A brownish-black coal of low rank containing 30 to 40 per cent moisture and volatile matter (also known as brown coal in which the texture of the original wood is distinct). Used almost exclusively for electric power generation.

Coal Coke - A hard, porous product made from baking bituminous coal in ovens at high temperatures. Often used as a fuel and a reducing agent in smelting iron ore in a blast furnace.

Raw coal – Any type of coal (bituminous, sub-bituminous and lignite) as it is extracted from underground or surface mines. Raw coal can be used as is (especially lignite and sub-bituminous) in electric power generating plants, residential consume or other industrial activities. Higher quality coals such as bituminous are mostly send to preparation plants (also known as cleaning plants and washeries) in order to remove the moisture and debris.

Metallurgical coal – High quality coal obtained in preparation plants after removing the moisture and debris from bituminous coal. Metallurgical coal includes PCI (pulverized coal injection) weak, soft and hard coals which are destined for coking or steel plants.

Thermal coal – Medium quality coal obtained in preparation plants after removing the moisture and debris from bituminous coal. It is mostly used for electric power generation.

3. Completing the questionnaire

Section 1 - Mining and preparation plant activities

Line 1.1 – Gross underground run-of-mine production
Report the total amount of coal mined in underground facilities.

Line 1.2 – Gross surface run-of-mine production
Report the total amount of coal mined in surface facilities.

Line 1.3 – Sent to discard heap
Report the total amount of coal discarded as unusable from the total amount mined (underground and surface production).

Line 1.4 – Reclaimed from discard heap, tailing pond etc.
Report the total amount of coal reclaimed as usable from discard heap or tailing ponds.

Line 1.5 – Total net production
Obtained by adding gross underground and gross surface productions minus amount discarded plus amount reclaimed. (1.1 + 1.2 – 1.3 + 1.4).

Line 1.6 – Processed at preparation plant(s)
Obtained by adding Total net production and raw inventory – end of previous month, minus raw inventory - end of present month, plus or minus adjustments to or from other producers, minus marketable production of raw coal (1.5 + 1.8 – 1.9 +/-1.10 – 1.11). The amount should equal line 3.1 (total metric tonnes).

Line 3.3 – Plant losses
Report the amount coal lost during the preparation process at the plant (moisture debris etc).

Line 3.4 – Preparation plant output
Report the total amount of clean coal obtained after preparation at plant and eliminating the losses (3.1 – 3.3). The total preparation plant output is the sum of clean metallurgical and clean thermal coal.

Lines 1.8 and 3.5 – Raw/processed inventory – end of previous month
Report the inventories of raw/processed coal reported at the end of previous month. Must equal line 1.9 (3.6 respectively) from previous month report.

Lines 1.9 and 3.6 – Raw/processed inventory – end of present month
Report the inventory of raw/processed coal existent at the end of present month. The amount will be carried over as inventory at the end of previous month in next month report.

Lines 1.10 and 3.7 – Adjustments
Report the amounts of raw or clean coal received from or transferred to other producers.

Lines 1.11 and 3.8 – Marketable production
Report the total amount of raw and clean coal disposed during the month (raw = 1.5 – 1.6 + 1.8 – 1.9 +/- 1.10; clean = 3.4 + 3.5 – 3.6 +/-3.7)

Section 2 – Disposal section

Lines 2.1 and 4.1 – Within province electric power generating plants
Report the amount of raw and clean coal (metallurgical and thermal) sold to electric power generating plants within province and the correspondent dollar values.

Lines 2.2 and 4.2 – Industrial consumers
Report the amount of raw and clean coal (metallurgical and thermal) sold to industrial consumers within province and the correspondent dollar values.

Lines 2.3 and 4.3 – Coke plants (including char)
Report the amount of raw and clean coal (metallurgical and thermal) sold to coke plants within province and the correspondent dollar values.

Lines 2.4 and 4.4 – Residential consumers (including employees)
Report the amount of raw and clean coal (metallurgical and thermal) sold to residential consumers within province and the correspondent dollar values.

Lines 2.5 and 4.5 – Company use (boilers, etc.)
Report the amount of raw and clean coal (metallurgical and thermal) used by your company and the correspondent dollar values.

Lines 2.6 and 4.6 – Other (specify)
Report the amount of raw and clean coal (metallurgical and thermal) sold to other clients (e.g. Farmers) within province and the correspondent dollar values.

Lines 2.7 and 4.7 – Total disposal within province
Report the total amounts of raw and clean coal sold and used within province and the correspondent total dollar value (raw = 2.1 to 2.6; clean = 4.1 to 4.6).

Lines 2 and 4 – Other provinces (specify)
Report the amount of raw and clean coal (metallurgical and thermal) sold to customers in other provinces and the correspondent dollar values. Please specify the total amounts sold and the dollar values for each province.

Lines 2.19, 2.20, 419, and 4.20 – To shipping port – Atlantic or Lake Superior/Pacific
Report the total amount of raw and clean coal shipped to the Atlantic or Lake Superior and Pacific ports and the correspondent dollar values. The value of shipments to port should reflect the real market value. Therefore a value based on the estimated selling value at the port minus transportation costs from mine would be appropriate.

Lines 2.21 and 4.21 – To U.S.A. by road or rail
Report the amount of coal shipped to U.S.A by rail or road and the correspondent dollar value.

Lines 2.22 and 4.22 – Total disposal from mine
Report the total amount of coal disposed within province, to other provinces and to ports and their correspondent dollar values (raw = 2.1 to 2.21; clean = 4.1 to 4.21). Total disposal from mine should equal marketable production.

Section 3 – Atlantic or Lake Superior Ports

Lines 2.23 and 4.23 – Port inventory at end of previous month
Report the inventories of raw/clean coal reported at the end of previous month. Must equal line 2.24 (4.24 respectively) from previous month report.

Lines 2.24 and 4.24 – Port inventory at the end of present month
Report the inventory of raw/processed coal existent at the end of present month. The amount will be carried over as inventory at the end of previous month in next month report.

Lines 2.25 and 4.25 – Shipments from port (specify)
Report the amounts of raw and clean coal shipped from port to specific destinations.

Lines 2.26 and 4.26 – Adjustments to or from other producers (specify)
Report the amounts of raw or clean coal received from or transferred to other producers (raw = 2.19 + 2.23 – 2.24 – 2.25; clean = 4.19 + 4.23 – 4.24 – 4.25).

Section 4 – Pacific Port

Lines 2.27 and 4.27 - Port inventory at end of previous month
Report the inventories of raw/clean coal reported at the end of previous month. Must equal line 2.28 (4.28 respectively) from previous month report.

Lines 2.28 and 4.28 – Port inventory at the end of present month
Report the inventory of raw/processed coal existent at the end of present month. The amount will be carried over as inventory at the end of previous month in next month report.

Lines 2.29.559 and 4.29.559 – Shipments from port – Japan
Report the amounts of coal shipped to Japan during the month and their correspondent dollar values.

Lines 2.29 and 4.29 – Shipments from port (specify)
Report the amounts of raw and clean coal shipped from port to specific destinations and their correspondent dollar value.

Lines 2.38 and 4.38 – Shipments from port to British Columbia customers
Report the amounts of raw and clean coal shipped from port to specific destinations within the province of British Columbia and their correspondent dollar value.

Lines 2.30 and 4.30 – Adjustments to or from other producers (specify)
Report the amounts of raw or clean coal received from or transferred to other producers (raw = 2.20 + 2.27 – 2.28 – 2.29 – 2.38; clean = 4.20 + 4.27 – 4.28 – 4.29 – 4.39).
Estimated Exports Marketing Expenses - Report the average cost/metric tonne for transportation to port, loading and handling at port and other costs related to port activity.

Section 5 – Provincial data (complete the appropriate provincial section)

Report the export marketing expenses as an average cost/metric tonne for transportation to port, loading and handling at port and other port expenses (specify). The information in this section refers to staff employed at each mine and the number of hours worked.

Provincial data – Section 1 – Alberta
Report the average daily work force during reporting month. Include all employees at site (staff, hourly), mine number and the staff employed by run of mine production (metallurgical or thermal).

Provincial data – Section 1 – British Columbia
Report the number of employees receiving pay on last working day of the month whether paid on monthly, weekly, hourly or piece work basis. Provide the number of workers employed at the site by type of activity (Mine and related, administrative and office, and other) and by location of activity (surface, underground, preparation plant). Report the salaries and wages in thousands of dollars. If Pulverized Coal Injection is produced / sold please provide the volume (metric tonnes) and dollar value for marketable production, total disposal from mine and total shipment from port (Atlantic or Pacific).

Environment, Energy and Transportation Statistics Division

Reporting Guide

This guide is designed to assist you as you complete the 2015 Monthly Natural Gas Storage Survey. If you need more information, please call the Statistics Canada Help Line at the number below.

Help Line: 1-877-604-7828

Storage facilities include natural gas storage caverns such as: depleted oil and gas reservoirs, aquifer reservoirs, salt cover reservoirs. Liquefied Natural Gas (LNG) storage facilities are out of scope for this survey.

Units: Report Gigajoules (GJs) of natural gas stored during the month under review.

Confidentiality

Your answers are confidential.

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

Table of contents

Skip to text

General information : Purpose of survey, Data-sharing agreements and Data linkage
Reporting instructions
Reporting Instructions and natural gas definitions

Text begins

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 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, Northwest Territories and Nunavut.

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

Record linkages

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

Reporting Instructions

Please report information for a specific reference month in 2015.

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 Storage Survey. If you need more information, please call 1-877-604-7828.

Reporting Instructions and Natural Gas Definitions

Question 1: OPENING INVENTORY

1a: Opening inventory of base or cushion gas

Report total amount of base or cushion gas held by the establishment on the first day of the month under review. This should equal the closing inventory of the previous month.

Definition:

  • Base gas, also referred to as cushion gas is the amount of gas that must be present in storage at all times to maintain a storage facility’s pressure.

1b: Opening inventory of working gas

Report total amount of working gas held by the establishment on the first day of the month under review.  This should equal the closing inventory of the previous month.

Definition:

  • Working gas is the amount of gas that can be withdrawn from storage while maintaining a storage facility’s minimum operating pressure.

Total opening inventory of natural gas

Report total amount of natural gas held by the establishment on the first day of the month under review.  This should equal the sum of the base/cushion gas and working gas.

Question 2: CLOSING INVENTORY

2a: Closing inventory of base or cushion gas

Report total amount of base or cushion gas held by the establishment on the last day of the month under review. 

Definition:

  • Base gas, also referred to as cushion gas is the amount of gas that must be present in storage at all times to maintain a storage facility’s pressure.

2b: Closing inventory of working gas

Report total amount of working gas held by the establishment on the last day of the month under review. 

Definition:

  • Working gas is the amount of gas that can be withdrawn from storage while maintaining a storage facility’s minimum operating pressure.

Total closing inventory of natural gas

Report total amount of natural gas held by the establishment on the last day of the month under review.  This should equal the sum of the base/cushion gas and working gas.

Question 3: HEATING VALUE OF STORED NATURAL GAS

3:  Average heating value of stored natural gas in gigajoules per thousand cubic metres

Report average heat content of your natural gas held in storage for the month under review.

Question 4: INJECTED, WITHDRAWN AND INVENTORY ADJUSTMENTS OF NATURAL GAS STORAGE

4a: Injected in to storage

Report total amount of natural gas received by the establishment for month under review.

4b: Withdrawn from storage

Report total amount of natural gas delivered by the establishment for month under review.

4c: Other adjustments

This calculated amount is the difference between (1) opening and closing inventories and (2) injections and withdrawals. This difference includes discrepancies due to meter inaccuracies and/or leakage or other losses. Inventory adjustments can be a positive or negative value.

  • Inventory adjustments = (closing – opening inventories) – (withdrawals – injections)

Net withdrawals of natural gas from inventories

This calculated amount is the difference between (1) withdrawals and (2) the sum of injections and inventory adjustments. Net withdrawals can be a positive or negative value.

  • Net withdrawals = withdrawals – (injections + inventory adjustments)

Question 5: NATURAL GAS HELD IN THE UNITED STATES

5: Natural gas in storage facilities in the United States

Report total amount of natural gas held by the establishment in storage facilities located in the United States for eventual use in Canada.

 

Thank you for your participation.

Administrative data – Frequently Asked Questions

What are administrative data?

Administrative data or information are collected by government agencies and private sector companies for their ongoing operations, which are then obtained by Statistics Canada to meet its mandated objectives. Statistics Canada has the obligation to keep your information private, secure, and confidential. It's the law.

What does Statistics Canada do with this information?

Statistics Canada uses administrative data to complement or replace survey data, reduce response burden and costs, make statistical operations more efficient and also to improve data quality and timeliness. These data enable Statistics Canada to produce statistics and research to benefit Canada.

How does Statistics Canada protect your confidentiality?

At Statistics Canada, the confidentiality of data is governed by three acts—the Statistics Act, the Access to Information Act, and the Privacy Act —and departmental policies and directives on the collection, protection and use of administrative data.

In addition, Statistics Canada employees are sworn to secrecy, and subject to fines and/or imprisonment, should they reveal confidential information.

Is the use of administrative data something new at Statistics Canada?

No. Statistics Canada has been receiving vital statistics data from the provinces and territories since 1921 and import and export data about businesses since 1938. Today, over 40% of Statistics Canada's programs are based in whole or in part on data available from administrative sources.

Why is Statistics Canada asking for more administrative data now?

Statistics Canada has always worked towards achieving greater efficiency in data collection to reduce both duplication and the response burden placed on Canadians. This type of data is also used to measure changes in the economy or society (such as the share economy) that cannot be measured with survey data. In fact, Statistics Canada has been using administrative data for almost a century. More recently, federal departments have made an effort to reduce the burden that the government places on the resources of small and medium-sized businesses.

What are the benefits of using administrative data?

Using administrative data saves time and money—yours and ours. These data reduce the amount of time Canadians spend responding to surveys, while ensuring that Statistics Canada surveys and programs remain accurate, relevant and efficient. Over time, an increased use of administrative data would mean that you would not have to supply the same information repeatedly. This is especially helpful to us in gathering data pertaining to populations or topics that may be difficult or costly to obtain by survey.

Are government organizations and private businesses required to provide Statistics Canada with this information?

Yes. Statistics Canada operates under the authority of the Statistics Act which gives Statistics Canada powers to collect and compile a wide range of economic and social statistics that will benefit Canadians. Statistics Canada works in collaboration with organizations who have administrative data that can help in measuring the economy and society. We request needed information that has statistical or research value, while respecting the principles of privacy. collecting the least amount of information.

Does Statistics Canada disclose administrative data to other government agencies or businesses?

In line with the Statistics Act, Statistics Canada may share select administrative data with other government agencies or businesses. This means releasing selected business data to other organizations to produce and improve official statistics of national importance. We apply ethical, statistical, and security best-practice standards to the data, and others who use the data are bound by the same security and confidentiality rules as Statistics Canada.

What legislation governs the sharing of administrative data by organizations with Statistics Canada?

The Statistics Act, Access to Information Act, Privacy Act, and legislation pertaining to data providers govern the sharing of administrative data with Statistics Canada.

Environment, Energy and Transportation Statistics Division
Energy Section

Reporting Guide

This guide is designed to assist you as you complete the 2015 Annual Survey of Electric Power Thermal Generating Station Fuel Consumption. If you need more information, please call the Statistics Canada Help Line at the number below.

Help Line: 1-877-604-7828

Your answers are confidential.

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

Statistics Canada will use the information from this survey for statistical and research purposes.

Table of contents

Skip to text

General information: Purpose of survey, Data-sharing agreements and Data linkage
Reporting instructions
Cogeneration
Solid fuels used to generate electricity
Liquid fuels used to generate electricity
Gaseous fuels used to generate electricity
Other fuels used to generate electricity
Useful thermal energy
Units of measure
Reporting categories

Text begins

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. 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 Newfoundland and Labrador Department of Natural Resources, the Ministère de l'énergie et des ressources naturelles du Québec, the Manitoba Department of Mineral Resources, Alberta Energy, the British Columbia Ministry of Energy and Mines, the British Columbia Ministry of Natural Gas Development, the National Energy Board, Natural Resources Canada and Environment 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 and to minimize the reporting burden, Statistics Canada may combine it with information from other surveys or from administrative sources.

Reporting instructions

This schedule is to be completed for the station or stations indicated on the affixed label to the questionnaire. Please report for the requested period: January to December 2015.

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

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

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

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

Cogeneration

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

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

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

Solid fuels used to generate electricity

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

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

Liquid fuels used to generate electricity

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

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

Gaseous fuels used to generate electricity

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

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

Other fuels used to generate electricity

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

Useful thermal energy

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

Units of measure

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

Reporting categories

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

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

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

Generation
Please indicate the total electricity generated in MW.h

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

Canadian Health Measures Survey bibliography 2015

Background documentation
Preliminary releases, cycle 1
Cycle 1 (2007 to 2009)
Cycle 2 (2009 to 2011)
Cycle 3 (2012-2013)
Cycles 1 and 2 combined (2007 to 2011)
Cycles 1, 2 and 3 combined (2007 to 2013)

Background documentation

Health Reports articles

Bryan, Shirley, Marc St-Denis and Dana Wojtas. 2007. " 10366_eng.pdf (PDF, 0 bytes) ." Health Reports. Supplement to Vol. 18. December. Statistics Canada Catalogue no. 82-003-SPE. pp. 53 to 70.
ARCHIVED - Alternative Format

Day, Brent, Renée Langlois, Mark Tremblay and Bartha-Maria Knoppers. 2007. " 10364_eng.pdf (PDF, 0 bytes) ." Health Reports. Supplement to Vol. 18. December. Statistics Canada Catalogue no. 82-003-SPE. pp. 37 to 51.

Giroux, Suzelle. 2007. " 10363_eng.pdf (PDF, 0 bytes) ." Health Reports. Supplement to Vol. 18.
December. Statistics Canada Catalogue no. 82-003-SPE. pp. 31 to 36.
ARCHIVED - Alternative Format

Shields, Margot, Sarah Conner Gorber and Mark S. Tremblay. 2008. "Estimates of obesity based on self-report versus direct measures." Health Reports. Vol. 19, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 61 to 76.
ARCHIVED - Alternative Format

Tremblay, Mark, Michael Wolfson and Sarah Connor Gorber. 2007. " 10361_eng.pdf (PDF, 0 bytes) ." Health Reports. Supplement to Vol. 18. December. Statistics Canada Catalogue no. 82-003-SPE. pp. 7 to 20.
ARCHIVED - Alternative Format

Tremblay, Mark, Renée Langlois, Shirley Bryan, Dale Esliger and Julienne Patterson. 2007. " 10362_eng.pdf (PDF, 0 bytes) ." Health Reports. Supplement to Vol. 18. December. Statistics Canada Catalogue no. 82-003-SPE. pp. 21 to 30.
ARCHIVED - Alternative Format

External articles and publications

Canadian Institute for Health Information. 2004. "The Canadian Health Measures Survey." Health of the Nation. Vol. 1. Winter. p. 7.
http://www.cihi.ca/CIHI-ext-portal/pdf/internet/2004Winter_HN_EN

Connor Gorber, S., M. Tremblay, D. Moher and B. Gorber. 2007. "A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systemic review." Obesity Reviews. Vol. 8, no. 4. pp. 307 to 326.

Dietitians of Canada. 2006. "New Statistics Canada survey to take direct physical measures of nutritional health." Members in Action. November. pp. 4 to 5.

Équipe de l'Enquête canadienne sur les mesures de la santé. 2008. "Biosurveillance des substances chimiques de l'environnement." Bulletin d'information en santé environnementale. Vol. 19, no. 2. March-June. pp. 7-8.
Exposition aux métaux d'origine environmentale au Nunavik

Esliger, Dale W., Adam Probert, Sarah Connor Gorber, Shirley Bryan, Manon Laviolette and Mark S. Tremblay. 2007. "Validity of the Actical accelerometer step-count function." Medicine & Science in Sports & Exercise. Vol. 39, no. 7. pp. 1200 to 1204.

Journal of the Canadian Dental Association. 2007. "Canadian Health Measures Survey Gets Underway." Journal of the Canadian Dental Association. Vol. 73, no. 2. March. p. 116.

Journal of the Canadian Dental Association. 2009. "The JCDA Interview: Dr. Peter Cooney: Canada's Chief Dental Officer." Journal of the Canadian Dental Association. Vol. 75, no. 1. February. pp. 29 to 31.
http://www.cda-adc.ca/jcda/vol-75/issue-1/29.pdf

Office of the Chief Dental Officer. 2007. "Statistics Canada's Canadian Health Measures Survey." Canadian Journal of Dental Hygiene. Vol. 41, no. 3. May-June. pp. 151 to 153.
Dr. Peter Cooney: Canada's Chief Dental Officer.

Probert, Adam W., Mark S. Tremblay and Sarah Conner Gorber. 2008. "Desk Potatoes—The Importance of Occupational Physical Activity on Health." Canadian Journal of Public Health. Vol. 99, no. 4. July-August. pp. 311 to 318.

Spence, John C. 2004. "The Canadian Health Measures Survey: Introduction: Why Should We Give a Hoot about this Survey?" WellSpring. Vol. 15, no. 3. October. p. 1.

Tremblay, Mark. 2004. "The Canadian Health Measures Survey: Background to the Canadian Health Measures Survey" WellSpring. Vol. 15, no. 3. October. pp. 2 to 4.
http://www.centre4activeliving.ca/publications/wellspring/2004/oct-health-survey.pdf

Tremblay, Mark. 2004. "The Need for Directly Measured Health." Canadian Journal of Public Health. Vol. 95, no. 3. May-June. pp. 165-166.

Tremblay, Mark S. and Sarah Connor Gorber. 2007. "Canadian Health Measures Survey: Brief overview." Canadian Journal of Public Health. Vol. 98, no. 6. November-December. pp. 453 to 456.

Preliminary releases, cycle 1

Health Reports articles

Wong, Suzy and Ellen J.D. Lye. 2008. "Lead, mercury and cadmium levels in Canadians." Health Reports. Vol. 19, no. 4. December. Statistics Canada Catalogue no. 82-003-X. pp. 31 to 36.

The Daily releases

Statistics Canada. 2008. "Study: Lead, mercury and cadmium levels in Canadians." The Daily. November 19. Statistics Canada Catalogue no. 11-001-X.

Statistics Canada. 2009. "Canadian Health Measures Survey: Vitamin D blood plasma concentrations in the population, 2007/2008." The Daily. July 2. Statistics Canada Catalogue no. 11-001-X.

Cycle 1 (2007 to 2009)

Health Reports articles

Bryan, Shirley, Mathieu Saint-Pierre Larose, Norm Campbell, Janine Clarke and Mark S. Tremblay. 2010. "Resting blood pressure and heart rate measurement in the Canadian Health Measures Survey, cycle 1." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 71 to 78.

Bushnik, Tracey, Douglas A. Haines, Patrick Levallois, Johanne Levesque, Jay Van Oostdam and Claude Viau. 2010. "Lead and bisphenol A concentrations in the Canadian population." Health Reports. Vol. 21, no. 3. September. Statistics Canada Catalogue no. 82-003-X. pp. 7 to 18.

Colapinto, Cynthia K., Deborah L. O'Connor, Lise Dubois and Mark S. Tremblay. 2012. "Prevalence and correlates of folic acid supplement use in Canada." Health Reports. Vol. 23, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 39 to 44.

Colley, Rachel, Sarah Connor Gorber and Mark S. Tremblay. 2010. "Quality control and data reduction procedures for accelerometry-derived measures of physical activity." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 63 to 69.

Colley, Rachel C., Didier Garriguet, Ian Janssen, Cora L. Craig, Janine Clarke and Mark S. Tremblay. 2011. "Physical activity of Canadian adults: Accelerometer results from the 2007 to 2009 Canadian Health Measures Survey." Health Reports. Vol. 22, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 7 to 14.

Colley, Rachel C., Didier Garriguet, Ian Janssen, Cora L. Craig, Janine Clarke and Mark S. Tremblay. 2011. "Physical activity of Canadian children and youth: Accelerometer results from the 2007 to 2009 Canadian Health Measures Survey." Health Reports. Vol. 22, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 15 to 23.

Colley, Rachel C., Suzy L. Wong, Didier Garriguet, Ian Janssen, Sarah Connor Gorber and Mark S. Tremblay. 2012. "Physical activity, sedentary behaviour and sleep in Canadian children: Parent-report versus direct measures and relative associations with health risk." Health Reports. Vol. 23, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 45 to 52.

Dales, R.E., S. Cakmak, J. Leech and L. Liu. 2013. "The association between personal care products and lung function." Annals of Epidemiology. Vol. 23, no. 2. February. pages 49 to 53.

Evans Jessica, Yue Chen, Pat G. Camp, Dennis M. Bowie and Louise McRae. 2014. "Estimating the prevalence of COPD in Canada: Reported diagnosis versus measured airflow obstruction." Health Reports. Vol. 25, no. 3. March. Statistics Canada Catalogue no. 82-003-X. 11 p.

Garriguet, Didier and Rachel C. Colley. 2012. "Daily patterns of physical activity among Canadians." Health Reports. Vol. 23, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 27 to 32.

L'Abbe, M. R., Yin. Qi, Marcia Cooper and Wendy Lou. 2011. "Iron bioavailability of the diets of Canadians." Mississauga, ON: Beef Information Centre. Vol. 25, no. 607.

Langlois, Kellie, Linda Greene-Finestone, Julian Little, Nick Hidiroglou and Susan Whiting. 2010. "Vitamin D status of Canadians as measured in the 2007 to 2009 Canadian Health Measures Survey." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 47 to 54.

Paradis, Gilles, Mark S. Tremblay, Ian Janssen, Arnaud Chiolero and Tracey Bushnik. 2010. "Blood pressure in Canadian children and adolescents." Health Reports. Vol. 21, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 15 to 22.

Shields, Margot, Sarah Connor Gorber, Ian Janssen and Mark S. Tremblay. 2011. "Bias in self-reported estimates of obesity in Canadian health surveys: An update on correction equations for adults." Health Reports. Vol. 22, no. 3. September. Statistics Canada Catalogue no. 82-003-X. pp. 35 to 45.

Shields, Margot, Sarah Connor Gorber, Ian Janssen and Mark S. Tremblay. 2011. "Obesity estimates for children based on parent-reported versus direct measures." Health Reports. Vol. 22, no. 3. September. Statistics Canada Catalogue no. 82-003-X. pp. 47 to 58.

Shields, Margot, Mark S. Tremblay, Sarah Connor Gorber and Ian Janssen. 2012. "Abdominal obesity and cardiovascular disease risk factors within body mass index categories." Health Reports. Vol. 23, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 7 to 15.

Shields, Margot, Mark. S. Tremblay, Sarah Connor Gorber and Ian Janssen. 2012. "Measures of abdominal obesity within body mass index categories, 1981 and 2007 to 2009." Health Reports. Vol. 23, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 33 to 38.

Shields, Margot, Mark S. Tremblay, Manon Laviolette, Cora L. Craig, Ian Janssen and Sarah Connor Gorber. 2010. "Fitness of Canadian adults: Results from the 2007-2009 Canadian Health Measures Survey." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 21 to 35.

Tremblay, Mark S., Margot Shields, Manon Laviolette, Cora L. Craig, Ian Janssen and Sarah Connor Gorber. 2010. "Fitness of Canadian children and youth: Results from the 2007-2009 Canadian Health Measures Survey." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 7 to 20.

Wilkins, Kathryn, Norman R.C. Campbell, Michel R. Joffres, Finlay A. McAlister, Marianne Nichol, Susan Quach, Helen L. Johansen and Mark S. Tremblay. 2010. "Blood pressure in Canadian adults." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 37 to 46.

Wilkins, Kathryn, Marianne Gee and Norm Campbell. 2012. "The difference in hypertension control between older men and women." Health Reports. Vol. 23, no. 4. December. Statistics Canada Catalogue no. 82-003-X. pp. 33 to 40.

Wong, Suzy L., Margot Shields, Scott Leatherdale, Eric Malaison and David Hammond. 2012. "Assessment of validity of self-reported smoking status." Health Reports. Vol. 23, no. 1. February. Statistics Canada Catalogue no. 82-003-X. pp. 37 to 46. pp. 47 to 53.

The Daily releases

Statistics Canada. 2010. "Canadian Health Measures Survey: Body composition and fitness, 2007 to 2009." The Daily. January 13. Statistics Canada Catalogue no. 11-001-X.

Statistics Canada. 2010. "Canadian Health Measures Survey: Blood pressure in adults, 2007 to 2009." The Daily. February 17. Statistics Canada Catalogue no. 11-001-X.

Statistics Canada. 2010. "Canadian Health Measures Survey: Cholesterol and vitamin D levels, 2007 to 2009." The Daily. March 23. Statistics Canada Catalogue no. 11-001-X.

Statistics Canada. 2010. "Canadian Health Measures Survey: Blood pressure in children and adolescents, 2007 to 2009." The Daily. May 19. Statistics Canada Catalogue no. 11-001-X.

Statistics Canada. 2010. "Canadian Health Measures Survey: Lead, bisphenol A and mercury, 2007 to 2009." The Daily. August 16. Statistics Canada Catalogue no. 11-001-X.

Statistics Canada. 2010. "Canadian Health Measures Survey: data on physical activity, 2007 to 2009." The Daily. November 23. Statistics Canada Catalogue no. 11-001-X.

Statistics Canada. 2011. "Canadian Health Measures Survey: Physical activity of youth and adults, 2007 to 2009." The Daily. January 19. Statistics Canada Catalogue no. 11-001-X.

Statistics Canada. 2011. "Canadian Health Measures Survey: Adult obesity prevalence in Canada and the United States, 2007 to 2009." The Daily. March 2. Statistics Canada Catalogue no. 11-001-X.
http://www.statcan.gc.ca/daily-quotidien/110302/dq110302c-eng.htm

Health fact sheets

Statistics Canada. 2010. "Aerobic fitness in Canada, 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2010. "Body composition of Canadian adults, 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2010. "Body mass index (BMI) for children and youth, 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2010. "Lung function results, 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2010. "Muskuloskeletal fitness in Canada, 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2010. "Oral health: Edentulous people in Canada, 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2010. "Heart health and cholesterol levels of Canadians, 2007 to 2009." Health Fact Sheets. March 23. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2010. "Vitamin D status of Canadians, 2007 to 2009." Health Fact Sheets. March 23. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2010. "Bisphenol A concentrations in the Canadian population, 2007 to 2009." Health Fact Sheets. August 16. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2010. "Lead concentrations in the Canadian population, 2007 to 2009." Health Fact Sheets. August 16. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2010. "Mercury concentrations in the Canadian population, 2007 to 2009." Health Fact Sheets. August 16. Statistics Canada Catalogue no. 82-625-X.
//www.statcan.gc.ca/pub/82-625-x/2010002/article/11329-eng.htm

Statistics Canada. 2011. "Adult obesity prevalence in Canada and the United States." Health Fact Sheets. March 2. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2011. "Physical activity levels of Canadian adults, 2007 to 2009." Health Fact Sheets. September 28. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2011. "Physical activity levels of Canadian children and youth, 2007 to 2009." Health Fact Sheets. September 28. Statistics Canada Catalogue no. 82-625-X.

Data tables

Statistics Canada. 2010. Canadian Health Measures Survey: Cycle 1 Data Tables, 2007 to 2009. Statistics Canada Catalogue no. 82-623-X.Ottawa, Ontario. 70 p.

External articles and publications

Adamo, Kristi B., Kellie A. Langlois, Kendra E. Brett and Rachel C. Colley. 2012. "Young children and parental physical activity levels: Findings from the Canadian Health Measures Survey." American Journal of Preventive Medicine. Vol. 43, no. 2. August. pp. 168 to 175.
http://www.ajpmonline.org/article/S0749-3797(12)00258-9/abstract

Angerer, Jurgen, Lesa L. Aylward, Sean M. Hays, Birger Heinzow and Michael Wilhelm. 2011. "Human biomonitoring assessment values: Apporaches and data requirements." International Journal of Hygiene and Environmental Health. Vol. 214, no. 5. pages 348 to 360.
http://www.sciencedirect.com/science/article/pii/S1438463911000745

Arora, Paul, Priya Vasa, Darren Brenner, Karl Iglar, Phil McFarlane, Howard Morrison and Alaa Badawi. 2013. "Prevalence estimates of chronic kidney disease in Canada: Results of a nationally representative survey." Canadian Medical Association Journal. Vol. 185, no. 9. June. pp. E417 to E423.
http://www.cmaj.ca/content/185/9/E417

Atwood, Kristin M., Cynthia J. Robitaille, Kim Reimer, Sulan Dai, Helen L. Johansen and Mark J. Smith. 2013. "Comparison of diagnosed, self-reported, and physically-measured hypertension in Canada." Canadian Journal of Cardiology. Vol. 29, no. 5. May. pp. 606 to 612.
http://www.onlinecjc.ca/article/S0828-282X(12)01474-2/fulltext

Aylward, L.L., E. Green, M. Porta, L.M. Toms, E. Den Hond, C. Schulz, M. Gasull, J. Pumarega, A. Conrad, M. Kolossa-Gehring, G. Schoeters and J.F. Mueller. 2014. "Population variation in biomonitoring data for persistent organic pollutants (POPs): an examination of multiple population-based datasets for application to Australian pooled biomonitoring data." Environment International. Vol. 68. July. pages 127 to 138.
http://www.ncbi.nlm.nih.gov/pubmed/24727067

Brenner, Darren R., Paul Arora, Bibiana García-Bailo, Howard Morrison, Ahmed El-Sohemy, Mohamed Karmali and Alaa Badawi. 2011. "The relationship between inflammation, metabolic syndrome and markers of cardiometabolic disease among Canadian adults." Journal of Diabetes & Metabolism. December.
http://www.omicsonline.org/2155-6156/2155-6156-S2-003.pdf

Brenner, Darren R., Paul Arora, Bibiana García-Bailo, Thomas M.S. Wolever, Howard Morrison, Ahmed El-Sohemy, Mohamed Karmali and Alaa Badawi. 2011. "Plasma vitamin D levels and risk of metabolic syndrome in Canadians." Clinical and Investigative Medicine. Vol. 34, no. 6. December. pp. E377 to E384.
http://cimonline.ca/index.php/cim/article/view/15899/12920

Cakmak, Sabit, Robert Dales, Judith Leech and Ling Liu. 2011. "The influence of air pollution on cardiovascular and pulmonary function and exercise capacity: Canadian Health Measures Survey (CHMS)." Environmental Research. Vol. 111, no. 8. November. pp. 1309 to 1312.
http://www.sciencedirect.com/science/article/pii/S0013935111002416

Cakmak, S, R. E. Dales, C. Hebbern and G. Saravanabhavan. 2014. "The association between urinary phthalates and lung function." Journal of occupational and environmental medicine. Vol. 56, no. 4. April. pages 376 to 381.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210172/

Clarke, Janine and Ian Janssen. 2014. "Sporadic and bouted physical activity and the metabolic syndrome in adults." Medicine & Science in Sports & Exercise. Vol. 46, no. 1. January. pp. 76 to 83.
http://journals.lww.com/acsm-msse/Fulltext/2014/01000/Sporadic_and_Bouted_Physical_Activity_and_the.12.aspx

Colapinto, Cynthia K., Deborah L. O'Connor and Mark S. Tremblay. 2011. "Folate status of the population in the Canadian Health Measures Survey." Canadian Medical Association Journal. Vol. 183, no. 2. February. pp. E100 to E106.
http://www.cmaj.ca/content/183/2/E100.full.pdf+html

Colapinto, C. K., O'Connor D. L., Dubois L., and Mark S. Tremblay. 2012. "Folic acid supplement use is the most significant predictor of folate concentrations in Canadian women of childbearing age". Applied Physiology, Nutrition and Metabolism. Vol. 37, no. 2. pages 284 to 292.
http://www.nrcresearchpress.com/doi/pdf/10.1139/h11-161

Colapinto, Cynthia K., Tremblay Mark S., Aufreiter Susanne, Bushnik Tracey, Pfeiffer Christine M. and O'Connor Deborah L. 2014. "The direction of the difference between Canadian and American erythrocyte folate concentrations is dependent on the assay method employed:a comparison of the Canadian Health Measures Survey and National Health and Nutrition Examination Survey". British Journal of Nutrition. August. pages 1 to 9.
http://www.medscape.com/medline/abstract/25296277

Colley, Rachel C., Didier Garriguet, Kristi B. Adamo, Valerie Carson, Ian Janssen, Brian W. Timmons and Mark S. Tremblay. 2013. "Physical activity and sedentary behavior during the early years in Canada: a cross-sectional study." International Journal of Behavioral Nutrition and Physical Activity. Vol. 10, no. 54.
http://www.ijbnpa.org/content/pdf/1479-5868-10-54.pdf

Colley, Rachel C., Didier Garriguet, Ian Janssen, Suzy L. Wong, Travis J. Saunders, Valerie Carson and Mark S. Tremblay. 2013. "The association between accelerometer-measured patterns of sedentary time and health risk in children and youth: results from the Canadian Health Measures Survey." BMC Public Health. Vol. 13, March.
http://www.biomedcentral.com/1471-2458/13/200

Colley, Rachel C., Ian Janssen and Mark S. Tremblay. 2012. "Daily step target to measure adherence to physical activity guidelines in children." Medicine & Science in Sport & Exercise. Vol. 44, no. 5. May. pp. 977 to 982.
http://www.ncbi.nlm.nih.gov/pubmed/22051570

Colley, Rachel C. and Mark S. Tremblay. 2011. "Moderate and vigorous physical activity intensity cut-points for the Actical accelerometer." Journal of Sports Sciences. Vol. 29, no. 8. May. pp. 783 to 789.
http://www.informaworld.com/smpp/content~db=all~content=a935200662~frm=abslink

Craig, Cora L., Margot Shields, Allana G. Leblanc, and Mark S. Tremblay. 2012. "Trends in aerobic fitness among Canadians, 1981 to 2007–2009." Applied Physiology, Nutrition and Metabolism. Vol. 37, no. 3. pp. 511 to 519.
http://www.nrcresearchpress.com/doi/abs/10.1139/h2012-023

Crane, Connie Jeske. 2014. "Getting girls to stay in the game." Herizons. Vol. 27, no. 3. Winter. pages 7 to 9.
http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=94769982&site=ehost-live

Da Costa, Laura A., Paul Arora, Bibiana García-Bailo, Mohamed Karmali, Ahmed El-Sohemy and Alaa Badewi. 2012. "The association between obesity, cardiometabolic disease biomarkers, and innate immunity-related inflammation in Canadian adults." Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. Vol. 2012, no. 5. October. pp. 347 to 355.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3468056/pdf/dmso-5-347.pdf

Duncan, L. and A. Bonner. 2014. "Effects of income and dental insurance coverage on need for dental care in Canada." Journal of Canadian Dental Association. Vol. 80, no. 6. pages 1 to 9.
http://www.jcda.ca/uploads/e6/e6.pdf

Elani, H.W., S. Harper, P.J. Allison, C. Bedos and J.S. Kaufman. 2012."Socio-economic inequalities and oral health in Canada and the United States." Journal of Dental Research. Vol. 9, no. 91. September. pp. 865 to 870.
http://jdr.sagepub.com/content/91/9/865.

Fernandez, Lois, Penny Jee, Mari-Jill Klein, Peter Fischer, Sherry L. Perkins and Stephen P.J. Brooks. 2013. "A comparison of glucose concentration in paired specimens collected in serum separator and fluoride/potassium oxalate blood collection tubes under survey 'field' conditions." Clinical Biochemistry. Vol. 46, no. 4 to 5. March. pp. 285 to 288.
http://www.sciencedirect.com/science/article/pii/S0009912012006637

Fisher, Mandy, Tye E. Arbuckle, Mike Wade and Douglas A. Haines. 2013. "Do perfluoroalkyl substances affect metabolic function and serum lipids?—Analysis of the 2007–2009 Canadian Health Measures Survey (CHMS) Cycle 1." Environmental Research. Vol. 121. February. pp. 95 to 103.
http://www.sciencedirect.com/science/article/pii/S0013935112003192

García-Bailo, Bibiana, Laura Da Costa, Paul Arora, Mohamed Karmali, Ahmed El-Sohemy and Alaa Badewi. 2013. "Plasma vitamin D and biomarkers of cardiometabolic disease risk in adult Canadians." Preventing Chronic Disease. Vol. 10.
http://www.cdc.gov/pcd/issues/2013/12_0230.htm

Gee, Marianne E., Asako Bienek, Finlay A. McAlister, Cynthia Robitaille, Michel Joffres, Mark S. Tremblay, Helen Johansen and Norman R.C. Campbell. 2012. "Factors associated with lack of awareness and uncontrolled high blood pressure among Canadian adults with hypertension." Canadian Journal of Cardiology. Vol. 28, no. 3. May. pp. 375 to 382.
http://www.onlinecjc.ca/article/S0828-282X(12)00003-7/fulltext

Gee, Marianne E., Ian Janssen, William Pickett, Finlay A. McAlister, Christina M. Bancej, Michel Joffres, Helen Johansen and Norman R.C. Campbell. 2012. "Prevalence, Awareness, Treatment, and Control of Hypertension Among Canadian Adults With Diabetes, 2007 to 2009." Canadian Journal of Cardiology. Vol. 28, no. 3. May. pp. 367 to 374.
http://www.onlinecjc.ca/article/S0828-282X(11)01178-0/fulltext

Greenfield, Jamie, Philip S. Park, Ellie Farahani, Suneil Malik, Reinhold Vieth, Norman A McFarlane, Theodore G. Shepherd and Julia A Knight. 2012. "Solar ultraviolet-B radiation and vitamin D: a cross-sectional population-based study using data from the 2007 to 2009 Canadian Health Measures Survey." BMC Public Health. Vol. 12, no. 1. Pages 660 to 669.
http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=84496949&site=ehost-live

Greene-Finestone, Linda S., Kellie A. Langlois and Susan J. Whiting. 2013. "Characteristics of users of supplements containing vitamin D in Canada and associations between dose and 25-hydroxvitamin D." Applied Physiology Nutrition and Metabolism. Vol. 38, no. 7, July. pp. 707 to 715.
http://www.nrcresearchpress.com/doi/abs/10.1139/apnm-2012-0316

Gurusankar, Saravanabhavan, Mireille Guay, Éric Langlois, Suzelle Giroux, Janine Murray and Douglas Haines. 2013. "Biomonitoring of phthalate metabolites in the Canadian population through the Canadian Health Measures Survey (2007-2009)." International Journal of Hygiene and Environmental Health. Vol. 216, no. 6. November. pp. 652 to 661.
http://www.ncbi.nlm.nih.gov/pubmed/23419587

Gurusankar, Saravanabhavan, Mireille Guay, Mike Walker, Lesa Aylward. 2014. "Urinary excretion and daily intake rates of diethyl phthalate in the general Canadian population." Science of the Total Environment. Vol. 500-501, December. pp. 191 to 198.
http://www.sciencedirect.com/science/article/pii/S0048969714012686

Haines, Douglas A. and Janine Murray. 2012. "Human biomonitoring of environmental chemicals—Early results of the 2007-2009 Canadian Health Measures Survey for males and females." International Journal of Hygiene and Environmental Health. Vol. 215, no. 2. February. pp. 133 to 137.
http://www.sciencedirect.com/science/article/pii/S143846391100160X

Haines, Douglas A., Tye E. Arbuckle, Ellen Lye, Melissa Legrand, Mandy Fisher, Renée Langlois and William Fraser. 2011. "Reporting results of human biomonitoring of environmental chemicals to study participants: a comparison of approaches followed in two Canadian studies." Journal of Epidemiology & Community Health. Vol. 65, no. 3. March. pp. 191 to 198.
http://www.ncbi.nlm.nih.gov/pubmed/20628082.full

Haines, Douglas A., Melissa Legrand, Tye E. Arbuckle, Jay Van Oosldam, Robert W. Dabeka, Constantine Tikhonov and William Fraser. 2012. "Biomarkers and Human Biomonitoring : Vol. 1 : Examples of Ongoing International Surveys: Canada." Royal Society of Chemistry. pages 79 to 106.
http://pubs.rsc.org/en/content/chapter/bk9781849732413-00079/978-1-84973-241-3#!divabstract

Hayes, Alyssa, Amir Azarpazhooh, Laura Dempster, Vahid Ravaghi and Carlos Quiñonez. 2013. "Time loss due to dental problems and treatment in the Canadian population: analysis of a nationwide cross-sectional survey." BMC Oral Health. Vol.13, April.
http://www.biomedcentral.com/1472-6831/13/17

Health Canada. 2013. Final Human Health State of the Science Report on Lead. Ottawa, Ontario. Minister of Health. 101 p.
http://www.hc-sc.gc.ca/ewh-semt/pubs/contaminants/dhhssrl-rpecscepsh/index-eng.php

Health Canada. 2013. Risk Management Strategy for Lead. Ottawa, Ontario. Minister of Health. 63 p.
http://www.hc-sc.gc.ca/ewh-semt/pubs/contaminants/prms_lead-psgr_plomb/index-eng.php

Health Canada. 2010. Overview of the Report on Human Biomonitoring of Environmental Chemicals in Canada. Ottawa, Ontario. Minister of Health. 7 p.
http://www.hc-sc.gc.ca/ewh-semt/pubs/contaminants/chms-ecms/overview-vue-eng.php

Health Canada. 2010. Report on Human Biomonitoring of Environmental Chemicals in Canada Results of the Canadian Health Measures Survey Cycle 1 (2007–2009). Ottawa, Ontario. Minister of Health. 283 p.
http://www.hc-sc.gc.ca/ewh-semt/pubs/contaminants/chms-ecms/index-eng.php

Health Canada. 2010. Report on the Findings of the Oral Health Component of the Canadian Health Measures Survey 2007–2009. Ottawa, Ontario. Minister of Health. 111 p.
http://www.fptdwg.ca/assets/PDF/CHMS/CHMS-E-tech.pdf

Health Canada. 2010. Summary Report on the Findings of the Oral Health Component ofthe Canadian Health Measures Survey 2007–2009. Ottawa, Ontario. Minister of Health. 19 p.
http://www.fptdwg.ca/assets/PDF/CHMS/CHMS-E-summ.pdf

Higgins, B. 2013. "Exploring relationships between socio-economic status and the health correlates of excess weight among Canadians." Department of Sociology. Calgary, AB: University of Calgary.
http://theses.ucalgary.ca/bitstream/11023/737/2/ucalgary_2013_higgins_benjamin.pdf

Janssen, Ian. 2012. "Health care costs of physical inactivity in Canadian adults." Applied Physiology, Nutrition and Metabolism. Vol. 37, no. 4. pp. 803 to 806.
http://www.nrcresearchpress.com/doi/abs/10.1139/h2012-061

Janssen, Ian, Margot Shields, Cora L. Craig and Mark. S. Tremblay. 2012. "Changes in the obesity phenotype within Canadian children and adults, 1981 to 2007-2009." Obesity. Vol. 20, no. 4. April. pp. 916 to 919.
http://onlinelibrary.wiley.com/doi/10.1038/oby.2011.122/pdf

Janssen, Ian, Margot Shields, Cora L. Craig and Mark S. Tremblay. 2011. "Prevalence and secular changes in abdominal obesity in Canadian adolescents and adults, 1981 to 2007-2009." Obesity Reviews. Vol. 12, no. 6. June. pp. 397 to 405.
www.ncbi.nlm.nih.gov/pubmed/20977603

Janssen, Ian, Suzy L. Wong, Rachel Colley and Mark S. Tremblay. 2013. "The fractionalization of physical activity throughout the week is associated with the cardiometabolic health of children and youth." BMC Public Health. Vol. 13. June.
http://www.biomedcentral.com/1471-2458/13/554

Joffres, Michel, Margot Shields, Mark S. Tremblay and Sarah Connor Gorber. 2013. "Dyslipidemia prevalence, treatment, control, and awareness in the Canadian Health Measures Survey." Canadian Journal of Public Health. Vol. 104, no. 3. May-June. pp. E252 to E257.
http://journal.cpha.ca/index.php/cjph/article/view/3783/2794

Khan, S., Mai X-M. and Chen Y. 2013. "Plasma 25-hydroxyvitamin D associated with pulmonary function in Canadian adults with excess adiposity." American Journal of Clinical Nutrition. Vol. 98, no. 1. pages 174 to 179.
http://ajcn.nutrition.org/content/early/2013/05/08/ajcn.112.054734.full.pdf+html

Khan, S., Mai X-M. and Chen Y. 2014. "The link between plasma 25-hydroxyvitamin D and lung function in general and asthmatic children." Pediatric allergy, immunology and pulmonology. Vol. 27, no. 2. pages 87 to 91.
http://online.liebertpub.com/doi/pdf/10.1089/ped.2013.0312

Kuhle, Stefan, Christina Fung and Paul J. Veugelers. 2013. "Medication use in normal weight and overweight children in a nationally representative sample of Canadian children." Archives of Diseases in Childhood. Vol. 97, no. 9, September. pp. 842 to 847.
http://www.ncbi.nlm.nih.gov/pubmed/22833408

L'Abbe, M. R., Yin. Qi, Marcia Cooper et Wendy Lou. 2011. "Iron bioavailability of the diets of Canadians." Mississauga, ON: Beef Information Centre. Vol. 25, no. 607.
http://www.rdc-cdr.ca/iron-bioavailability-diets-canadians

LaKind, Judy S., Johanne Levesque, Pierre Dumas, Shirley Bryan, Janine Clarke, Daniel Q. Naiman. 2012. "Comparing United States and Canadian population exposures from national biomonitoring surveys: Bisphenol A intake as a case study." Journal of Exposure Science and Environmental Epidemiology. Vol. 22, no. 3, May. pp. 219 to 226.
http://www.nature.com/jes/journal/v22/n3/pdf/jes20121a.pdf

Landry, D. 2013. "Interrelationships between vitamin D and body mass index and waist circumference in Canada." Epidemiology & Community Medicine. Ottawa, ON: University of Ottawa. 120 p.
https://www.ruor.uottawa.ca/bitstream/10393/24344/3/Landry_Denise_2013_thesis.pdf

Larouche, R., G. E. J. Faulkner, M. Fortier and M.S. Tremblay. 2014. "Active transportation and adolescents' health: The Canadian Health Measures Survey." American Journal of Preventive Medicine. Vol. 46, no. 5. pages 507 to 515.
http://www.ncbi.nlm.nih.gov/pubmed/24745641

Larouche, Richard, Louis Laurencelle, Roy J. Shephard and François Trudeau. 2012. "Life transitions in the waning of physical activity from childhood to adult life in the Trois-Rivières study." Journal of Physical Activity and Health. Vol. 9, no. 4. May. pp. 516 to 524.
http://journals.humankinetics.com/AcuCustom/Sitename/Documents/DocumentItem/07_trudeau_JPAH_20100218.pdf

Larouche, Richard, Meghann Lloyd, Emily Knight and Mark S. Tremblay. 2011. "Relationship between active school transport and body mass index in grades 4 to 6 children." Pediatric Exercise Science. Vol. 23, no. 3. August. pp. 322 to 330.
http://www.ncbi.nlm.nih.gov/pubmed/21881153

Lye, Ellen, Melissa Legrand, Janine Clarke and Adam Probert. 2013. "Blood total mercury concentrations in the Canadian population: Canadian Health Measures Survey cycle 1, 2007-2009." Canadian Journal of Public Health. Vol. 104, no. 3. May-June. pp. E246 to E251.
http://journal.cpha.ca/index.php/cjph/article/view/3772/2796

MacFarlane, Amanda J., Linda S. Greene-Finestone and Yipu Shi. 2011. "Vitamin B-12 and homocysteine status in a folate-replete population: results from the Canadian Health Measures Survey." American Journal of Clinical Nutrition. Vol. 94, no. 4. October. pp. 1079 to 1087.
http://ajcn.nutrition.org/content/94/4/1079.full

Maximova, K., S. Kuhle, Z. Davidson, C. Fung, and P.J. Veugelers P. J. 2013. "Cardiovascular risk factor profiles of normal and overweight children and adolescents: insights from the Canadian Health Measures Survey." Canadian Journal of Cardiology. Vol. 29, no. 8. August. pages 976 to 982.
http://www.onlinecjc.ca/article/S0828-282X(12)01217-2/pdf

McAlister, Finlay A., Cynthia Robitaille, Cathleen Gillespie, Keming Yuan, Deepa P. Rao, Steven Grover, Sulan Dai, Helen Johansen, Michel Joffres, Fleetwood Loustalot and Norm Campbell. 2013. "The impact of cardiovascular risk-factor profiles on blood pressure control rates in adults from Canada and the United States." Canadian Journal of Cardiology. Vol. 29, no. 5. May. pp. 598 to 605.
http://www.onlinecjc.ca/article/S0828-282X(12)01517-6/fulltext

McAlister, Finlay A., Kathryn Wilkins, Michel Joffres, Frans H.H. Leenen, George Fodor, Marianne Gee, Mark S. Tremblay, Robin Walker, Helen Johansen and Norm Campbell. 2011. "Changes in the rates of awareness, treatment and control of hypertension in Canada over the past two decades." Canadian Medical Association Journal. Vol. 183, no. 9. June, pp. 1007-1013.
http://www.cmaj.ca/cgi/content/full/183/9/1007

Mohottalage, Susantha, 2015 "Population Exposure to Tobacco: Results of the Canadian Health Measures Survey Cycle 1 (2007-2009). S. Mohottalage, P. Saner, C. Uhlik, and E. Soo. Health Canada Science Forum, 2014/2015, Ottawa poster"

Nicolae, Alexandra, Harry Ames and Carlos Quiñonez. 2013. "Dental amalgam and urinary mercury concentrations: a descriptive study ." BMC Oral Health. Vol. 13, no. 44. September.
http://www.biomedcentral.com/1472-6831/13/44

Niruban, S.J., K. Alagiakrishnan, J. Beach and A. Senthilselvan. 2014. "Association of vitamin D with respiratory outcomes in Canadian children."European Journal of Clinical Nutrition. Vol. 68, no. 12. July.
http://www.ncbi.nlm.nih.gov/pubmed/24986817

Ordre des dentistes du Québec. 2010. "Rapport des résultats du module sur la santé buccodentaire de l'Enquête canadienne sur les mesures de la santé 2007-2009." Journal de l'Ordre des dentistes du Québec. Vol. 47, no. 3. June-July. p. 24.
http://www.odq.qc.ca/Portals/5/fichiers_publication/journal/Journal_Complet_6_7_2010.pdf

Oulhote, Youssef and Maryse Bouchard. 2013. "Pyrethroid and organophosphate insecticides and behavioural problems, CHMS." American Journal of Epidemiology. Vol. 177. June.

Oulhote, Y. and M.F. Bouchard. 2013. "Urinary metabolites of organophosphate and pyrethroid pesticides and behavioral problems in Canadian children." Environmental Health Perspectives. Vol. 121, no. 11-12. November-December. pages 1378 to 1384.
http://ehp.niehs.nih.gov/wp-content/uploads/121/11-12/ehp.1306667.pdf

Padwal, Raj S., Hsui-Ju Chang, Scott Klarenbach, Arya M. Sharma and Sumit R. Majumdar. 2012. "Characteristics of the population eligible for and receiving publicly funded bariatric surgery in Canada." International Journal for Equity in Health. Vol. 11. September.
http://www.equityhealthj.com/content/11/1/54

Ramraj, C. 2012. "Dental treatment needs in the Canadian population." Faculty of Dentistry. Toronto, ON: University of Toronto. pages 1 to 103.
https://tspace.library.utoronto.ca/bitstream/1807/33508/1/Ramraj_Chantel_201211_MSc_thesis.pdf

Ramraj, Chantel, Amir Azarpazhooh, Laura Dempster, Vahid Ravaghi and Carlos Quiñonez. 2012. "Dental treatment needs in the Canadian population: analysis of a nationwide cross-sectional survey." BMC Oral Health. Vol. 12. October.
http://www.biomedcentral.com/1472-6831/12/46

Ramraj, C., L. Sadeghi, H.P. Lawrence, L. Dempster, and C. Quiñonez. 2013. "Is accessing dental care becoming more difficult? Evidence from Canada's middle-income population." PLOS ONE. Vol. 8, no. 2. February.
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0057377

Rao, Deepa P, Dai, Sulan, Claudia Lagacé and Daniel Krewski. 2013. "Metabolic Syndrome and Chronic Disease." Chronic Diseases and Injuries in Canada. Vol. 34, no. 1. December .

Ravaghi, V., C. Quiñonez and P.J. Allison. 2013. "Oral pain and its covariates: Findings from a Canadian population study." Journal of the Canadian Dental Association. Vol. 79, no. (d3). pages 1 to 9.
http://www.jcda.ca/uploads/d3/d3.pdf

Ravaghi, V., C. Quiñonez and P.J. Allison. 2013. "The magnitude of oral health inequalities in Canada: Findings of the Canadian Health Measures Survey." Community Dentistry and Oral Epidemiology. Vol. 41, no. 6. pages 490 to 498.
http://www.ncbi.nlm.nih.gov/pubmed/23383978

Ravaghi, V., C. Quiñonez and P.J. Allison. 2013. "Comparing inequalities in oral and general health: Findings of the Canadian Health Measures Survey." Canadian Journal of Public Health. Vol. 104, no. 7. pages E466 to E471.
http://journal.cpha.ca/index.php/cjph/article/download/3983/2868

Rawn, Dorothea F.K., J. Jake Ryan, Amy R. Sadler, Wing-Fun Sun, Douglas Haines, Kristin Macey and Jay Van Oostdam. 2012. "PCDD/F and PCB concentrations in sera from the Canadian Health Measures Survey (CHMS) from 2007 to 2009." Environment International. Vol. 47, no. 15. October. pp. 48 to 55.
http://www.sciencedirect.com/science/article/pii/S0160412012001201

Rawn, Dorothea F.K., J. Jake Ryan, Amy R. Sadler, Wing-Fun Sun, Dorcas Weber, Patrick Laffey, Douglas Haines, Kristin Macey and Jay Van Oostdam. 2014. "Brominated flame retardant concentrations in sera from the Canadian Health Measures survey (CHMS) from 2007 to 2009." Environment International. Vol. 63. February. pages 26 to 34
http://www.sciencedirect.com/science/article/pii/S0160412013002274

Richardson, G. M. 2014. "Mercury exposure and risks from dental amalgam in Canada: The Canadian Health Measures Survey 2007-2009." Human and Ecological Risk Assessment: An International Journal. Vol.20, no. 2. pages 433 to 447.
http://www.tandfonline.com/doi/pdf/10.1080/10807039.2012.743433

Richardson, G.M. 2013. (Sanche, J., Ed.), "2013 Canadian exposure factors handbook: Life expectancy, body dimensions, inhalation, time-activity, and soil ingestion." Saskatoon, SK: University of Saskatchewan, Toxicology Centre. 60 p.
http://www.usask.ca/toxicology/docs/cef

Richardson, G.M. 2012. "Evidence that bisphenol-a exposure is not associated with composite resin dental fillings." Pediatrics. Vol. 130, no. 2. p. 1.
http://pediatrics.aappublications.org/content/130/2/e328/reply

Riediger, Natalie D. and Ian Clara. 2011. "Prevalence of the metabolic syndrome in the Canadian adult population." Canadian Medical Association Journal. Vol. 183, no. 15. October. pp. E1127 to E1134.
http://www.cmaj.ca/content/183/15/E1127.full.pdf+html?sid=be1924e2-9f0f-4a84-b0e8-af9f1a2ee29d

Saravanabhavan, Gurusankar, Mireille Guay, Éric Langlois, Suzelle Giroux, Janine Murray and Douglas Haines. 2013. "Biomonitoring of phthalate metabolites in the Canadian population through the Canadian Health Measures Survey (2007-2009)." International Journal of Hygiene and Environmental Health. Vol. 216, no. 6. November. pages 652 to 661.
http://dx.doi.org/10.1016/j.ijheh.2012.12.009

Saravanabhavan, G. and J. Murray. 2012. "Human biological monitoring of diisononyl phthalate and diisodecyl phthalate: a review." Journal of Environmental and Public Health. Vol. 2012. 11 p.
http://www.ncbi.nlm.nih.gov/pubmed/22505951

Setayeshgar, S., S.J. Whiting and H. Vatanparast. 2013. "Prevalence of 10-year risk of cardiovascular diseases and associated risks in Canadian adults: The contribution of cardiometabolic risk assessment introduction." International Journal of Hypertension. Vol. 201. pages 1 to 8.
http://www.hindawi.com/journals/ijhy/2013/276564/

Setayeshgar, S., J.Whiting S. and H. Vatanparast, 2012. "Metabolic syndrome in Canadian adults and adolescents: Prevalence and associated dietary intake." ISRN Obesity. Vol. 2 012. pages 1 to 8.
http://www.hindawi.com/journals/isrn/2012/816846/

Shi, Yipu, Margaret de Groh and Howard Morrison. 2013. "Perinatal and early childhood factors for overweight and obesity in young Canadian children." Canadian Journal of Public Health. Vol. 104, no. 1. January-February. pp. e69 to e74.
http://journal.cpha.ca/index.php/cjph/article/view/3589/2750

Shi, Yipu, Margaret de Groh and Howard Morrison. 2012. "Increasing blood pressure and its associated factors in Canadian children and adolescents from the Canadian Health Measures Survey."BMC Public Health. Vol. 12. May.
http://www.biomedcentral.com/1471-2458/12/388

Shields, Margot, Margaret D. Carroll and Cynthia L. Ogden. 2011. "Adult Obesity Prevalence in Canada and the United States". NCHS Data Brief, no. 56. March. 7 p.
http://www.cdc.gov/nchs/data/databriefs/db56.htm

Stone, M.R., G.E. Faulkner and R.N. Buliung. 2013. "How active are children in Toronto? A comparison with accelerometry data from the Canadian Health Measures Survey". Chronic Diseases and Injuries in Canada. Vol. 33, no. 2. March. pp. 61 to 68.
http://www.phac-aspc.gc.ca/publicat/cdic-mcbc/33-2/assets/pdf/CDIC_MCC_Vol33_2_2_Stone_E_61.pdf

Theis, B., R. Raut, E. Candido, S. Young, and L.D. Marrett. 2011. "Risk factor and screening report, national and provincial, incorporating sociodemographic variables." Colorectal Cancer Network (CRCNet), Cancer Care Ontario. September. pages 1 to 122.
http://www.cancerview.ca/idc/groups/public/documents/webcontent/crcnet_q6_screening_report.pdf

Theis, B., R. Raut, J.P.K. Chan, E. Candido, L.D. and Marrett. 2011. "Risk factors and screening by age and sex, national and provincial." Colorectal Cancer Network (CRCNet), Cancer Care Ontario. June. pages 1 to 84.
http://www.cancerview.ca/idc/groups/public/documents/webcontent/cpac019098.pdf

Thompson, B., P. Cooney, H. Lawrence, V. Ravaghi and C. Quiñonez. 2014. "Cost as a barrier to accessing dental care: findings from a Canadian population-based study." Journal of Public Health Dentistry. Vol. 74, no. 3. January.
http://www.ncbi.nlm.nih.gov/pubmed/24428772

Votova, K.M.E, R. Blais, M.J. Penning, and M.K. Maclure. 2013 "Polypharmacy meets polyherbacy: Pharmaceutical, over-the-counter and natural health product use among Canadian adults." Canadian Journal of Public Health. Vol. 104, no. 3. May-June. pages 222 to 228.
http://journal.cpha.ca/index.php/cjph/article/download/3695/2798

Whiting, Susan J., Kellie A. Langlois, Hassanali Vatanparast and Linda S. Greene-Finestone. 2011. "The vitamin D status of Canadians relative to the 2011 Dietary Reference Intakes: an examination in children and adults with and without supplement use." American Journal of Clinical Nutrition. Vol. 93, no. 7. July. 8 p.
http://ajcn.nutrition.org/content/early/2011/05/18/ajcn.111.013268.full.pdf+html

Wong, Suzy L., Eric Malaison, David Hammond and Scott T. Leatherdale. 2013. "Secondhand smoke exposure among Canadians: Cotinine and self-report measures from the Canadian Health Measures Survey 2007–2009." Nicotine & Tobacco Research. Vol. 15, no. 3. March pp. 693 to 700.
http://www.ncbi.nlm.nih.gov/pubmed/22990218

Wong, Suzy Lai, Rachel Colley, Sarah Connor Gorber and Mark Tremblay. 2011. "Actical accelerometer sedentary activity thresholds for adults." Journal of Physical Activity and Health. Vol. 8, no. 4. May. pp. 587 to 591.
http://www.ncbi.nlm.nih.gov/pubmed/21597132

Yao, Chao Shu and Michael I. MacEntee. 2013. "Inequity in Oral Health Care for Elderly Canadians: Part 1. Oral Health Status." Journal of the Canadian Dental Association. Vol. 79.
http://www.jcda.ca/article/d114

Ye, Ming, Jeremy Beach, Jonathan W. Martin and Ambikaipakan Senthilselvan. 2015. "Association between Lung Function in Adults and Plasma DDT and DDE Levels Results from the Canadian Health Measures Survey." Environmental Health Perspectives. Vol. 123, no. 5. May, pages 422 to 427.
http://ehp.niehs.nih.gov/1408217/

Zinck, John, Margaret de Groh, Amanda MacFarlane. 2015. "Genetic modifiers of folate, vitamin B-12, and homocysteine status in a cross-sectional study of the Canadian population." The American Journal of Clinical Nutrition.
http://ajcn.nutrition.org/content/suppl/2015/05/06/ajcn.115.107219.DCSupplemental.html

Cycle 2 (2009 to 2011)

Health at a Glance articles

Janz, Teresa, and Caryn Pearson. 2013. "Vitamin D blood levels of Canadians." Health at a Glance. January 10. Statistics Canada Catalogue no. 82-624-X.

Health Reports articles

Cooper, Marcia, Linda Greene-Finestone, Hélène Lowell, Johanne Levesque and Stacey Robinson. 2012. "Iron sufficiency of Canadians." Health Reports. Vol. 23, no. 4. December. Statistics Canada Catalogue no. 82-003-X. pp. 41 to 48.

Patry-Parisien, Jennifer, Margot Shields and Shirley Bryan. 2012. "Comparison of waist circumference using the World Health Organization and National Institutes of Health protocols." Health Reports. Vol. 23, no. 3. September. Statistics Canada Catalogue no. 82-003-X. pp. 53 to 60.

Patry-Parisien, Jennifer, Jiping Zhu and Suzy L. Wong. 2013. "Implementation of the indoor air component of cycle 2 of the Canadian Health Measures Survey." Health Reports. Vol. 24, no. 5. May. Statistics Canada Catalogue no. 82-003-X. pp. 3 to 10.

Roberts, Karen C., Margot Shields, Margaret de Groh, Alfred Aziz and Jo-Anne Gilbert. 2012. "Overweight and obesity in children and adolescents: Results from the 2009 to 2011 Canadian Health Measures Survey." Health Reports. Vol. 23, no. 3. September. Statistics Canada Catalogue no. 82-003-X. pp. 37 to 41.

Rotermann, Michelle, Kellie A. Langlois, Alberto Severini and Stephanie Totten. 2013. " Prevalence of Chlamydia trachomatis and herpes simplex virus type 2: Results from the 2009 to 2011 Canadian Health Measures Survey." Health Reports. Vol. 24, no. 4. April. Statistics Canada Catalogue no. 82-003-X. pp. 10 to 15.

Wheeler, Amanda J., Suzy L. Wong, Cheryl Khoury and Jiping Zhu. 2013. "Predictors of indoor BTEX concentrations in Canadian residences." Health Reports. Vol. 24, no. 5. May. Statistics Canada Catalogue no. 82-003-X. pp. 11 to 17.

The Daily releases

Statistics Canada. 2012. "Canadian Health Measures Survey: Household and physical measures data, 2009 to 2011." The Daily. September 20. Statistics Canada Catalogue no. 11-001-X.
http://www.statcan.gc.ca/daily-quotidien/120920/dq120920f-eng.htm

Statistics Canada. 2012. "Canadian Health Measures Survey: Select laboratory, activity monitor and indoor air data, 2009 to 2011." The Daily. November 21. Statistics Canada Catalogue no. 11-001-X.
http://www.statcan.gc.ca/daily-quotidien/121121/dq121121b-eng.htm

Statistics Canada. 2012. "Canadian Health Measures Survey: Fact sheets and tables related to select laboratory data, 2009 to 2011." The Daily. November 29. Statistics Canada Catalogue no. 11-001-X.
http://www.statcan.gc.ca/daily-quotidien/121129/dq121129e-eng.htm

Statistics Canada. 2013. "Study: Vitamin D blood levels of Canadians, 2009-2011." The Daily. January 10. Statistics Canada Catalogue no. 11-001-X.
http://www.statcan.gc.ca/daily-quotidien/130110/dq130110d-eng.htm

Statistics Canada. 2013. "Canadian Health Measures Survey: Laboratory environmental data, 2009 to 2011." The Daily. April 17. Statistics Canada Catalogue no. 11-001-X.
http://www.statcan.gc.ca/daily-quotidien/130417/dq130417e-eng.htm

Health fact sheets

Statistics Canada. 2012. "Aerobic fitness of Canadians, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2012. "Blood pressure of Canadian adults, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2012. "Blood pressure of Canadian children and youth, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2012. "Body composition of Canadian adults, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2012. "Body mass index of Canadian children and youth, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2012. "Chronic obstructive pulmonary disease in Canadians, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2012. "Muscular strength of Canadians, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2012. "Cholesterol levels of Canadians, 2009 to 2011." Health Fact Sheets. November 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2012. "Iodine status of Canadians, 2009 to 2011." Health Fact Sheets. November 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2012. "Iron sufficiency of Canadians, 2009 to 2011." Health Fact Sheets. November 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2012. "Metabolic syndrome in Canadians, 2009 to 2011." Health Fact Sheets. November 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2012. "Vitamin B12 status of Canadians, 2009 to 2011." Health Fact Sheets. November 29. Statistics Canada Catalogue no. 82-625-X.
//www.statcan.gc.ca/pub/82-625-x/2012001/article/11731-eng.htm

Statistics Canada. 2013. "Bisphenol A concentrations in Canadians, 2009 to 2011." Health Fact Sheets. April 17. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2013. "Blood lead concentrations in Canadians, 2009 to 2011." Health Fact Sheets. April 17. Statistics Canada Catalogue no. 82-625-X.

Data tables

Statistics Canada. 2012. Canadian Health Measures Survey: Cycle 2 Data Tables, 2009 to 2011. Statistics Canada Catalogue no. 82-626-X. Ottawa, Ontario. 80 p.

External articles and publications

Betancourt, Marisol T, K.C. Roberts, T-L Bennett, E.R. Driscoll, G. Jayaraman and L. Pelletier. 2014. "Monitoring chronic diseases in Canada: the chronic diseases indicator framework." Chronic diseases and injuries in Canada. Vol. 34, Supplement 1. Spring 2014. 34 p.
http://www.phac-aspc.gc.ca/publicat/cdic-mcbc/34-1-supp/index-eng.php

Health Canada. 2013. Second report on human biomonitoring of environmental chemicals in Canada: Results of the Canadian Health Measures Survey Cycle 2 (2009- 2011). Ottawa, Ontario. Minister of Health. 434 p.
http://www.hc-sc.gc.ca/ewh-semt/pubs/contaminants/chms-ecms-cycle2/index-eng.php

Jee, Penny, Lois Fernandez, Sherry L. Perkins and Stephen P.J. Brooks. 2014. "Effect of storage and repeated freeze/thaw on (S) vitamin B12." Clinical Biochemistry. Vol. 47, no. 18. December. p. 344.
http://www.sciencedirect.com/science/article/pii/S0009912014006687

Katz, Sherri, Jean-Philippe Vaccani, Janine Clarke, Lynda Hoey, Rachel C. Coley and Nicholas J. Barrowman. 2014. "Creation of a reference dataset of neck sizes in children: standardizing a potential new tool for prediction of obesity-associated diseases?" BioMed Central. Vol. 14, no. 23. June.
http://www.biomedcentral.com/1471-2431/14/159

MacFarlane, A.J., Y. Shi and L.S. Greene-Finestone. "High dose compared to low dose vitamin B12 supplement use is not associated with higher vitamin B12 status in children, adolescents and older adults." J Nutr 144(6):915-20. 2014.
www.ncbi.nlm.nih.gov/pubmed/24699807

Ontario Agency for Health Protection and Promotion (Public Health Ontario). "Child and youth health data sources project: summary of processes and findings. " Toronto, ON: Queen's Printer for Ontario; 2015.
http://www.publichealthontario.ca/en/eRepository/Child_Youth_Data_Sources_2015.pdf

Roberts, Karen C. and G. Jayaraman. 2014. "Childhood Obesity – FPT Framework."
http://www.phac-aspc.gc.ca/publicat/cdic-mcbc/34-1-supp/index-eng.php

Shi, Y., M. de Groh and A.J. MacFarlane. "Sociodemographic and lifestyle factors associated with folate status among non-supplement-consuming Canadian women of child-bearing age." Canadian J Public Health 105(3): e166-e171. 2014.
www.ncbi.nlm.nih.gov/pubmed/24699807

St-Amand, A. 2015. "Biomonitoring Equivalents for interpretation of urinary fluoride." Regul Toxicol Pharmacol. 2015 Jun;72(1):158-67. doi: 10.1016/j.yrtph.2015.04.005. Epub 2015 Apr 8.
http://www.ncbi.nlm.nih.gov/pubmed/25863192

Zhu, Jiping, Suzy L. Wong and Sabit Cakmak. 2013. "Nationally representative levels of selected volatile organic compounds in Canadian residential indoor air: Population-based survey." Environmental Science & Technology, Vol. 47, no. 23. October. pp. 13276 to 13283.
http://pubs.acs.org/doi/abs/10.1021/es403055e

Cycle 3 (2012 to 2013)

Health Reports articles

Feder, Katya, David Michaud, Pamela Ramage-Morin, James McNamee and Yves Beauregard. 2015. " Prevalence of hearing loss among Canadians aged 20 to 79: Audiometric results from the 2012/2013 Canadian Health Measures Survey." Health Reports. Vol. 25, no. 7. July. Statistics Canada Catalogue no. 82-003-X. pages 18-25.

The Daily releases

Statistics Canada. 2014. "Canadian Health Measures Survey: Household and physical masures data, 2012 to 2013." The Daily. October 29. Statistics Canada Catalogue no. 11-001-X. http://www.statcan.gc.ca/daily-quotidien/141029/dq141029c-eng.htm

Statistics Canada. 2014. "Canadian Health Measures Survey: Selected laboratory and activity monitor data, 2012 and 2013." The Daily. December 16. Statistics Canada Catalogue no. 11-001-X.
http://www.statcan.gc.ca/daily-quotidien/141216/dq141216d-eng.htm

Statistics Canada. 2015. "Canadian Health Measures Survey: Directly measured physical activity of Canadians, 2012 and 2013." The Daily. February 18. Statistics Canada Catalogue no. 11-001-X.
http://www.statcan.gc.ca/daily-quotidien/150218/dq150218c-eng.htm

Statistics Canada. 2015. "Canadian Health Measures Suvey: Hearing loss of Canadians, 2012 and 2013." The Daily. April 15. Statistics Canada Catalogue no. 11-001-X.
http://www.statcan.gc.ca/daily-quotidien/150415/dq150415c-eng.htm

Statistics Canada. 2015. "Canadian Health Measures Survey: Laboratory environmental data, 2012 and 2013." The Daily. July 15. Statistics Canada Catalogue no. 11-001-X.
http://www.statcan.gc.ca/daily-quotidien/150715/dq150715b-eng.htm

Statistics Canada, 2015. "Canadian Health Measures Survey: Indoor air volatile organic compound data 2012 and 2013." The Daily. September 16. Statistics Canada Catalogue no. 11-001-X
http://www.statcan.gc.ca/daily-quotidien/150916/dq150916d-eng.htm

Statistics Canada, 2015. "Canadian Health Measures Survey: Medication use and nutrient intake, 2012 and 2013." The Daily. October 20. Statistics Canada Catalogue no. 11-001-X
http://www.statcan.gc.ca/daily-quotidien/151020/dq151020e-eng.htm

Health fact sheets

Statistics Canada. 2014. "Body composition of adults, 2012 to 2013." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2014. "Body mass index of children and youth, 2012 to 2013." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2014. "Blood pressure of adults, 2012 to 2013." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2014. "Blood pressure of children and youth, 2012 to 2013." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2014. "Chronic obstructive pulmonary disease in adults, 2012 to 2013." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2014. "Cholesterol levels of adults, 2012 to 2013." Health Fact Sheets. December 16. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2014. "Metabolic syndrome in adults, 2012 to 2013." Health Fact Sheets. December 16. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2014. "Vitamin D levels of Canadians, 2012 to 2013." Health Fact Sheets. December 16. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2014. "Vitamin C levels of Canadians, 2012 to 2013." Health Fact Sheets. December 16. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2015. "Directly measured physical activity of adults, 2012 and 2013." Health Fact Sheets. February 18. Statistics Canada Catalogue no. 82-625-X. //www.statcan.gc.ca/pub/82-625-x/2015001/article/14135-eng.htm

Statistics Canada. 2015. "Directly measured physical activity of children and youth, 2012 and 2013." Health Fact Sheets. February 18. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2015. "Hearing loss of Canadians, 2012 and 2013." Health Fact Sheets. April 15. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada, 2015. "Tobacco use of Canadians, 2012 and 2013." Health Fact Sheets. July 15. Statistics Canada Catalogue no. 82-625-X

Statistics Canada, 2015. "Lead, mercury and cadmium concentrations in Canadians, 2012 and 2013." Health Fact Sheets. July 15. Statistics Canada Catalogue no. 82-625-X

Statistics Canada, 2015. "Bisphenol A concentrations in Canadians, 2012 and 2013." Health Fact Sheets. July 15. Statistics Canada Catalogue no. 82-625-X

Statistics Canada, 2015. "Omega-3 fatty acid levels of adults, 2012 and 2013." Health Fact Sheets. November 18. Statistics Canada Catalogue no. 82-625-X

External Releases

http://blog.sac-oac.ca/the-canadian-health-measures-survey-a-source-of-nationally-representative-hearing-data/

Data tables

Statistics Canada. CANSIM (database). Last updated April 15, 2015. http://www5.statcan.gc.ca/cansim/a03?lang=eng&pattern=117-0001..117-0022&p2=31 (accessed June 13, 2015).

Cycles 1 and 2 combined (2007 to 2011)

Health Reports articles

Bushnik, Tracey, Patrick Levallois, Monique D'Amour, Todd J. Anderson and Finlay A. McAlister. 2014. "Association between blood lead and blood pressure: Results from the Canadian Health Measures Survey (2007 to 2011)." Health Reports. Vol. 25, no. 7. July. Statistics Canada Catalogue no. 82-003-X. 13 p.

Findlay, Leanne, Dafna Kohen. 2015. "Bisphenol A and child and youth behaviour: Canadian Health Measures Survey 2007 to 2011." Health Reports. Vol. 26 No. 08. August. Statistics Canada Catalogue no. 82-003-x.

Fowles, Jonathon, Joel Roy, Janine Clarke and Shilpa Dogra. 2014. "Are the fittest Canadian adults also the healthiest?" Health Reports. Vol. 25, no. 5. May. Statistics Canada Catalogue no. 82-003-X. 8 p.

Garriguet, Didier and Rachel C. Colley. 2014. "A comparison of self-reported leisure-time physical activity and measured moderate to vigorous physical activity in adolescents and adults." Health Reports. Vol. 25, no. 7. July. Statistics Canada Catalogue no. 82-003-X. 11 p.

Ng, Edward. 2015. "Canadian Health Measures Survey: A new tool for immigrant health research?" Health Reports. Vol. 26, no. 3. March. Statistics Canada Catalogue no. 82-003-X. 9 p.

Rotermann, Michelle, Claudia Sanmartin, Deirdre Henness and Michele Arthur. 2014. "Prescription medication use by Candians aged 6 to 79." Health Reports. Vol. 25, no. 6. June. Statistics Canada Catalogue no. 82-003-X. 9 p.

Rotermann, Michelle, Kellie Langlois, Anton Andonov and Maxim Trubnikov. 2013. "Seroprevalence of hepatitis B and C virus infections: Results from the 2007 to 2009 and 2009 to 2011 Canadian Health Measures Survey." Health Reports. Vol. 24, no. 11. November. Statistics Canada Catalogue no. 82-003-X. pages 3 to 13.

The Daily releases

Statistics Canada. 2013. "Canadian Health Measures Survey: Directly measured physical activity of Canadians, 2007 to 2011." The Daily. May 30. Statistics Canada Catalogue no. 11-001-X.
http://www.statcan.gc.ca/daily-quotidien/130530/dq130530d-eng.htm

Health fact sheets

Statistics Canada. 2013. "Directly measured physical activity of Canadian adults, 2007 to 2011." Health Fact Sheets. May 30. Statistics Canada Catalogue no. 82-625-X.

Statistics Canada. 2013. "Directly measured physical activity of Canadian children and youth, 2007 to 2011." Health Fact Sheets. May 30. Statistics Canada Catalogue no. 82-625-X.

External articles and publications

Adeli, Khosrow, Victoria Higgins, Michelle Nieuwesteegl, Joshua Raizman, Yungi Chen, Suzy Wong and David Blais. 2015. "Biochemical Marker Reference Values across Pediatric, Adult, and Geriatric Ages: Establishment of Robust Pediatric and Adult Reference Intervals on the Basis of the Canadian Health Measures Survey." Clinical Chemistry. Aug;61(8):1049-62. doi: 10.1373/clinchem.2015.240515. Epub 2015 Jun 4. http://www.clinchem.org/content/61/8/1049.abstract

Adeli, Khosrow, Victoria Higgins, Michelle Nieuwesteegl, Joshua Raizman, Yungi Chen, Suzy Wong, David Blais and M. Abdelhaleem. 2015. "Complex biological profile of hematologic markers across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey." Clinical Chemistry. Aug;61(8):1075-86. doi: 10.1373/clinchem.2015.240531. Epub 2015 Jun 4. http://www.clinchem.org/content/61/8/1075.long

Adeli, Khosrow, Victoria Higgins, Michelle Nieuwesteegl, Joshua Raizman, Yungi Chen, Suzy Wong, David Blais and M. Abdelhaleem. 2015."Complex reference values for endocrine and special chemistry biomarkers across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey." Clinical Chemistry.
Aug;61(8):1063-74. doi: 10.1373/clinchem.2015.240523. Epub 2015 Jun 4. http://www.clinchem.org/content/61/8/1063.long

Aranda-Rodriquez, Rocio, Ashley Cabecinha, Jeromy Harvie, Zhiyun Jin, Axelle Marchand, Robert Tardif, Andy Nong and Sami Haddad. 2015. "A method for quantification of volatile organic compounds in blood by SPME-GC-MS/MS with broader application: From non-occupational exposure population to exposure studies."Journal of Chromatography B. Vol. 992. June. Pages 76 to 85.
http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=102787210&site=ehost-live

Betancourt, Marisol T. K.C. Roberts, T-L Bennett, E.R. Driscoll and G. Jayaraman. 2014. "Chronic Disease Indicator Framework." CDIC. Vol. 34, Supplement 1. June 2014.
http://www.phac-aspc.gc.ca/publicat/cdic-mcbc/34-1-supp/index-eng.php

Canadian Society for Exercise Physiology Annual General Meeting — Extreme Human Physiology: From Pathology to Performance.
http://www.nrcresearchpress.com/doi/pdf/10.1139/apnm-2013-0299

Carson, Valerie. 2014. "Patterns of sedentary time and cardiometabolic risk among Canadian adults." Preventative Medicine. Vol. 65. August. pages 23 to 27.
http://www.ncbi.nlm.nih.gov/pubmed/24732719

Clarke, J., J. Roy, J. Fowles and S. Dogra. 2013. "Should qualified exercise professionals measure skinfolds when assessing health-related fitness in the general population?" Applied Physiology, Nutrition, and Metabolism. Vol. 38, no. 10, October. p. 1032. Proceedings of the Canadian Society for Exercise Physiology Annual General Meeting — Extreme Human Physiology: From Pathology to Performance.
http://www.nrcresearchpress.com/doi/pdf/10.1139/apnm-2013-0299

Clarke, Janine and Ian Janssen. 2013. "Is the frequency of weekly moderate-to-vigorous physical activity associated with the metabolic syndrome in Canadian adults?" Applied Physiology, Nutrition, and Metabolism. Vol. 38, no. 7. July. pp. 773 to 778.
http://www.nrcresearchpress.com/doi/pdf/10.1139/apnm-2013-0049

Copeland, Jennifer L., Janine Clarke and Shilpa Dogra. 2015. "Objectively measured and self-reported sedentary time in older Canadians." Preventive Medicine Reports. Vol. 2. pages 90 to 95.
http://www.sciencedirect.com/science/article/pii/S2211335515000042

Dogra, Shilpa, Janine Clarke, Joel Roy and Jonathan Fowles. 2015. "BMI-specific waist circumference is better than skinfolds for health-risk determination in the general population." Applied Physiology, Nutrition and Metabolism. Vol. 40, no. 2. pages 134 to 141.
http://www.ncbi.nlm.nih.gov/pubmed/25591950

Langlois, É, G. Saravanabhavan G, T.E. Arbuckle and S. Giroux. 2014. "Correction and comparability of phthalate metabolite measurements of Canadian biomonitoring studies (2007-2012)." Environment International. Vol. 64. March. pages 129 to 133.
http://www.ncbi.nlm.nih.gov/pubmed/24513526

Roy, J., J. Clarke, S. Dogra and J. Fowles. 2013. "The health of Canadian adults across fitness categories." Applied Physiology, Nutrition, and Metabolism. Vol. 38, no. 10. October. p. 1074. Proceedings of the Canadian Society for Exercise Physiology Annual General Meeting — Extreme Human Physiology: From Pathology to Performance.
http://www.nrcresearchpress.com/doi/pdf/10.1139/apnm-2013-0299

St-Amand, A, K. Werry, L. Aylward, S. Hayes, A. Nong. 2014. "Screening of population level biomonitoring data from the Canadian Health Measures Survey in a risk-based context." Toxicol Lett. 2014 Dec 1;231(2):126-34. doi: 10.1016/j.toxlet.2014.10.019. Epub 2014 Oct 17.
http://www.ncbi.nlm.nih.gov/pubmed/25455445

Cycles 1, 2 and 3 combined (2007 to 2013)

External articles and publications

Gibson, Deborah. 2015. "Nutrition Biomarkers in the CHMS, Cycle 1" Cost-recovery for HC.
http://www.hc-sc.gc.ca/fn-an/surveill/nutrition/measures-mesures/bio-eng.php

The Monthly Survey of Large Retailers

The Monthly Survey of Large Retailers
Table summary
This table displays the results of The Monthly Survey of Large Retailers. The information is grouped by Legal Name (appearing as row headers), Operating Name (appearing as column headers).
Legal Name Operating Name
The Food Retailers  
Buy-Low Foods Limited Partnership Buy-Low Foods, Nesters Market
Canada Safeway Limited Safeway, Safeway - Liquor Store
Loblaw Companies Limited At the Pumps, Atlantic Gas Bars, Dominion, Extra Foods, Loblaws, Loblaws à plein gaz, Maxi, Maxi & Cie, Provigo, Real Atlantic Superstore, Real Canadian Liquor Store, Real Canadian Superstore, Western Gas Bars, Zehrs, pharmacies in franchised locations (Fortino's, No Frills, Save Easy, Your Independent Grocer)
Metro Inc. Drug Basics, Food Basics, Metro, Super C, The Pharmacy
Overwaitea Food Group Limited Partnership Cooper's Foods, Overwaitea Foods, PriceSmart Foods, Save-on-Foods, Save-On-Foods Gas Bar
Sobeys Group Inc. Foodland, FreshCo., IGA, IGA Extra, Lawtons Drugs, Needs Convenience, Price Chopper, Rachelle-Béry, Sobeys, Sobeys Fast Fuel, Sobeys Urban Fresh, Thrifty Foods, Western Cellars
The Department Stores (including concessions)  
Hudson's Bay Company Home Outfitters/Déco Découverte, The Bay/La Baie, Zellers
Sears Canada Inc. Sears Appliance & Mattress Store/Magasin de matelas et électroménagers, Sears Department Store/Grand magasin Sears, Sears Home Store/Magasin Sears Décor, Sears Hometown Store/Magasin Local Sears, Sears Outlet Store/Magasin de liquidation Sears
Target Canada Co. Target
Wal-Mart Canada Corp. Walmart
The Other Non-Food Retailers  
668824 Alberta Ltd. Visions Electronics
9251-7200 Québec Inc. Jacob, Jacob Lingerie, Jacob Outlet
American Eagle Outfitters Canada Corporation Aerie, American Eagle Outfitters
Best Buy Canada Ltd. Best Buy, Future Shop
Boutique Marie Claire Inc. CF Sports, Claire France, Emotions, Marie Claire, Marie Claire Super Boutique, Marie Claire Weekend, San Francisco, Terra Nostra
Boutiques Tristan & Iseut Inc. Tristan, Tristan & America, Tristan & Iseut, West Coast
Canadian Tire Corporation Limited Canadian Tire Gas Bar, PartSource, Canadian Tire Corporation
Club Monaco Corp. Club Monaco
Comark Inc. Bootlegger, Cleo, Revolution, Ricki's
Costco Wholesale Canada Ltd. Costco, Costco Canada Liquor
Cotton Ginny Inc. Cotton Ginny
Eddie Bauer of Canada Corporation Eddie Bauer
Fairweather Ltd. Fairweather
FGL Sports Ltd. Atmosphere, National Sports, Sport Chek
Foot Locker Canada Corporation Champ Sports, Foot Locker
Gap (Canada) Inc. Banana Republic, Gap, Gap Kids
Grafton-Fraser Inc. George Richards Big & Tall Menswear, Mr. Big & Tall Menswear, Tip Top Tailors
Groupe ATBM Inc. Ameublement Tanguay, Brault et Martineau
Groupe Bikini Village Inc. Bikini Village
Harry Rosen Inc. Harry Rosen
Holt, Renfrew & Co., Limited Holt Renfrew
Ikea Canada Limited Partnership Ikea
International Clothiers Inc. Big Steel, Brogue, INC Men's, International Boys, International Clothiers, Petrocelle, Pinstripe Menswear, Randy River, River Island, Stockhomme
La Senza Corporation La Senza, La Senza Express
Le Chateau Inc. Le Chateau
Leon's Furniture Limited Leon's Furniture/Meubles Léon, The Brick/Brick, The Brick Mattress Store, United Furniture Warehouse
Magasin Laura (P.V.) Inc. Laura, Laura Outlet, Laura Petites, Laura Plus, Melanie Lyne
Mark's Work Wearhouse Ltd. Mark's Work Wearhouse/L'Équipeur
Moores The Suit People Inc. Moores Clothing For Men
Northern Reflections Ltd. Northern Reflections
Nygard International Partnership Alia, Jay Set, Nygard, Nygard Fashion Park, Tan Jay
Old Navy (Canada) Inc. Old Navy
Pantorama Industries Inc. 1850, Fixx, Levi's, Levi's l'entrepôt, Pantorama, Pantorama l'entrepôt, Roberto, UR2B
Pharma Plus Drugmarts Ltd. Rexall, Rexall Pharma Plus
Reitmans (Canada) Limitée Addition Elle, Cassis, Penningtons, Reitmans, RW & Co., Smart Set, Thyme Maternity
Roots Canada Ltd. Roots Canada
Sony of Canada Ltd. Sony of Canada - Retail Division
Tabi International Corporation Tabi International
Talbots Canada Corporation Talbots Canada
The Children's Place (Canada) L.P. The Children's Place
The Source (Bell) Electronics Inc. / La Source (Bell) Electronique Inc. The Source/La Source
Thrifty's Inc. Bluenotes
Winners Merchants International L.P. Homesense, Marshalls, Winners
YM Inc. (Sales) Siblings, Sirens, Stitches, Suzy Shier, Urban Planet
Note: With the exception of Canadian Tire, only sales from corporate stores are included.

Investment in New Residential Building Construction

Investment, Science and Technology Division

Text begins

Methodology

The investment in new residential building constructionNote 1may be divided into two major categories. The first one being the work put in place, which represents the value of construction for the four principal dwelling types (singles, doubles, rows and apartments) during a given period. The second category Other new construction regroups the investment for cottages, mobile homes and conversionsNote 2 and also acquisition costs such as taxes, land development costs and other related costs.

This paper focuses on the first category. The following equation is used to calculate the work put in place for new residential building construction:

It=∑i=020(SCxHS)t−iWPICi+1,t−i(1)MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamysamaaBa aaleaacaWG0baabeaakiabg2da9maaqadabaWaaeWaaeaacaWGtbGa am4qaiaadIhacaWGibGaam4uaaGaayjkaiaawMcaaaWcbaGaamyAai abg2da9iaaicdaaeaacaaIYaGaaGimaaqdcqGHris5aOWaaSbaaSqa aiaadshacqGHsislcaWGPbaabeaakiaadEfacaWGqbGaamysaiaado eadaWgaaWcbaGaamyAaiabgUcaRiaaigdacaGGSaGaamiDaiabgkHi TiaadMgaaeqaaOGaaiikaiaaigdacaGGPaaaaa@539E@

Variables are defined as follows:
It: Value of work put in place for new dwellings in tth month
SC: starting cost of the new housing
HS: number of housing starts
WPIC: "work put in place" coefficient
i: number of months covered by the methodology.

Thus, three fundamentals are required here: the housing starts, the starting cost of the newly built homes and the "work put in place" coefficient. All three variables will be discussed in detail. For a better understanding of equation (1), we will first look at the steps in obtaining the work put in place value.

1st Step: Building permits

This step is based upon the monthly Building Permits survey which gathers building permits information provided by more than 2,400 municipalities covering 95% of the Canadian population. The results of this survey represent the construction intentions of a current month, rather than the construction investments. It is important to note that once a permit has been issued for a new dwelling, construction may or may not proceed immediately thereafter. Investment levels for a given period are determined in accordance with the value of building permits for the current month, along with values of permits from previous months. This survey serves as the basis for the CMHC housing starts survey and as the only possible source of values which can be properly associated with construction projects.

2nd Step: Starting cost (SC)

It is essential to determine a representative cost to be used in the work put in place calculation.

The starting cost corresponds to the average construction value assigned to the housing starts for a given month.

The following example illustrates the calculation process:

(1) Suppose we want to obtain a starting cost for a given month - July. First, the average value of building permits issued is computed for July and the four preceding months. Using a blow-up coefficient, the calculated average is then boosted. The adjustment process is required because generally the declared cost expected for a housing project is undervalued, mainly due to unexpected costs in the construction process.

(2) A realization rate then can be assigned to each month (in our example, from March to July). The realization rate represents the proportion of newly authorized units between March and July (from the Building Permits Survey) that will be transformed into housing starts in July. The sum of these proportions is equal to 100%. The arrangement is necessary to reflect lags between construction intentions and the beginning of the projects. Usually, a housing start will take place within the five months following the issuing of a permit.

The realization rates vary by province and dwelling type so as to ensure that the diversity of construction projects and geographical areas are properly taken into account.

(3) For each month (in our example from March to July), the multiplication between the average value of the building permits and the realization rate are computed. The sum of these multiplications will lead to the starting cost attributed for July. The following table illustrates the previous example (fictitious values):

Table 1: A starting cost calculation
Table summary
This table displays the results of Table 1: A starting cost calculation. The information is grouped by Months (appearing as row headers), Building permits average in $ (1), Realiza-tion rate for July (2) and Multipli-cation of (1) & (2) (appearing as column headers).
Months Building permits average in $ (1) Realization rate for July (2) Multiplication of (1) & (2)
July 136,000 4% 5,440
June 165,000 58% 95,700
May 142,000 22% 31,240
April 124,000 8% 9,920
March 110,000 8% 8,800
Total: 100% 151,100

As table 1 shows, the starting cost would be $151,100 in July. The whole procedure is repeated for each month, and the starting cost varies from month to month.

3rd Step: Housing starts (HS) and completed units

Two critical elements are provided by the survey from CMHC: the housing starts (HS) and the completed units. The results are used to determine, if and when the building permits issued by the municipalities, have materialized into real investment projects and to obtain a project count. The total number of housing starts is multiplied by the starting cost in the investment equation.

Second, the CMHC survey also provides the number of projects which have finished during a given month: the "completed units". This information can be split by construction duration. These numbers are the basic requirements for the computation of the work put in place coefficients (WPIC). The following table is an example of the "completed units" survey's result:

Table 2: Completed single dwelling units in 19XX, Ontario
Table summary
This table displays the results of Table 2: Completed single dwelling units in 19XX. The information is grouped by Month (appearing as row headers), Construction duration (appearing as column headers).
Month Construction duration
1 2 3 4 Note ....: and so on Total(mthly)
Jan 41 81 108 136 Note ....: and so on 1047
Feb 38 63 103 95 Note ....: and so on 691
Mar 32 50 114 170 Note ....: and so on 967
Apr 65 100 328 392 Note ....: and so on 1710
Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on
Total (year) 654 2013 3921 4095 Note ....: and so on 22860

For instance, if we consider January 19XX, 1047 units were completed in Ontario, and among them, 41 required 1 month of work, 81 required 2 months, and so on.

4th Step: Work put in place coefficients (WPIC)

For the estimation of the investment levels, it is also important to consider how long it will take entrepreneurs to put their investment intentions into effect. To do this, the "work put in place" units are computed through a two-step process:

1) Percentage of construction added

First, a percentage of construction added is assigned to each month of construction activity (which can be extended to 21 months). More precisely, such a coefficient is a percentage value assigned to each month following the housing starts, in order to reflect the approximate completion level of the projects.

Broadly speaking, the value of these percentages are established according to the number of months required for completion, the starting month, the region where the construction project is taking place (Atlantic, Quebec, Ontario, Prairies or British Colombia), and the dwelling category in which the project falls (single, double, row or apartment). This component of the investment computation process has not been recently revised.

For instance, consider the case of a single dwelling unit starting in January, in Ontario. If the project requires only one month to be done, the percentage number assigned to the first month will be 100%. But if the project requires two months before its completion, the coefficient will be 49% for the first month and 51% for the second month, and so on. It is possible that the work time might extent to 21 months, but only a few projects reach such an extreme. In fact, only a small proportion of construction projects require more than one year to complete.

The following table shows the "percentage of construction added" applied in the case of a single dwelling in Ontario, in January:

Table 3: Distribution of the percentage of construction added, single dwellings in Ontario, January
Table summary
This table displays the results of Table 3: Distribution of the percentage of construction added. The information is grouped by Months (appearing as row headers), % of construction added (appearing as column headers).
Months % of construction added
1 2 3 4 5 ....21
1 100% 0% 0% 0% 0% ....0%
2 49% 51% 0% 0% 0% ....0%
3 35% 37% 28% 0% 0% ....0%
4 22% 29% 29% 20% 0% ....0%
5 30% 25% 20% 13% 12% ....0%
....21 1% 10% 0% 0% 0% ....11%

2) Output during the month of activity

The next step is the computation of the output during the month of activity, using the data of table 2 and table 3. The following example illustrates the distribution process.

Suppose we want to display the output of January 19XX, 1047 units were completed according to table 2, where 41 took one month to build, 81 took two months, 108 took three months, and so on.

For the construction projects that required only one month to complete, all 41 units will be displayed in the first month of activity. But in order to reflect the progress of work on the 81 construction projects that took two months before completion, what amount should be considered to belong to the first month of activity? According to the percentages of table 3, this would be 49% x 81=40 "equivalent units". What amount for the 108 units completed within 3 months should be considered in the first month of activity? Also, according to table 3, this would be 35% x 108=38 "equivalent units", and so on. This process is continued until the distribution for January's 1047 completed units have been spread over 21 months of activity.

From this example, the following table can be built:

Table 4: Physical output by duration of construction and month of activity, single dwellings in Ontario, January 19XX
Table summary
This table displays the results of Table 4: Physical output by duration of construction and month of activity. The information is grouped by Duration/Month of activity (appearing as row headers), 1, 2, 3, 4, ... and Total units (appearing as column headers).
Duration/Month of activity 1 2 3 4 Note ....: and so on Total units
1 41 0 0 0 Note ....: and so on 41
2 40 41 0 0 Note ....: and so on 81
3 38 40 30 0 Note ....: and so on 108
4 30 39 39 27 Note ....: and so on 135
Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on
Total 265 240 185 137 Note ....: and so on 1047
WPIC coefficient 25.3 22.9 17.7 13.1 Note ....: and so on 100

Once the distribution process is completed, the computation of the WPIC can be carried out by summing the physical output for each column of table 4 and dividing these sums by the total number of completed units in January.

5th Step: Value of work put in place (It )

At this point, all the variables required for the computation of the work put in place by means of equation (1) – SC, HS and WPIC – have been derived by going through the preceding steps. If we assume that we have all these variables for January 19XX and the previous months, the following comprehensive table (in the case of single dwellings in Ontario) can be produced:

Table 5: Work put in place variables, single dwellings in Ontario
Table summary
This table displays the results of Table 5: Work put in place variables. The information is grouped by Month Of start (appearing as row headers), HS, SC and WPIC (%), by progress of work (appearing as column headers).
Month Of start HS SC WPIC (%), by progress of work
1 2 3 4 ....21
Jan-xx 1157 144987 25.3 22.9 17.7 13.1 ....0.1
Dec-xx 1627 141593 26 24 18 10.2 ....0.1
Nov-xx 1875 141288 24 27 18 11.1 ....0.1
Oct-xx 2031 139520 24 28.1 22.3 10.2 ....0.1
Sep-xx 2141 139313 23 29.5 20.5 10.4 ....0.1
Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on Note ....: and so on

The investment for a given month (t) will depend not only on the housing starts and the starting cost of the current month, but also on the progress of the construction projects launched during the previous months. If we assume that the value of work put in place sought is the one for January 19XX, the application of equation (1) would yield the following:

It= (1157 x 144987) x 0.253
+ (1627 x 141593) x 0.240
+ (1875 x 141288) x 0.180
+ (2031 x 139520) x 0.102
+ ....

Notes

Methodology for back-casting revisions to the 2007 and 2008 input-output tables

Introduction

The publication of the 2009 input-output (IO) tables introduced conceptual, classification, and statistical breaks from the previously published time series due to the 2012 comprehensive revision of the Canadian System of Macroeconomic Accounts (CSMA)Note1. While many other data products were revised historically to preserve time series continuity, the provincial and territorial IO tables were not recompiled prior to 2009 due to feasibility constraints.  Because of this, the pre-2009 tables lost comparability to other revised CSMA products, such as the quarterly national economic accounts, the provincial economic accounts, estimates of GDP by industry and labour and multifactor productivity.

The labour-intensive nature of the IO compilation process precluded the possibility of recompiling the pre-2009 tables from the original source data according to the new concepts, classifications and statistical methods introduced with the 2012 CSMA historical revision. However, a compromise solution was to undertake a back-casting exercise to revise the current price provincial and territorial tables to attenuate the impact of time series breaks on analytical input-output products, such as the IO impact models and the symmetric industry-by-industry IO tables. The release of the 2007 and 2008 tables is the first installment in a series of releases which will eventually extend back to 1997.

The main purpose of the back-casted tables is to provide continuity for the analytical uses of the IO tables and not to serve as benchmarks in the historical period for the integrated MEA program as they do in current compilation.  Since approximate modelling techniques are applied in their compilation, their overall quality is not equivalent to that attained via an extensive bottom-up compilation exercise at a detailed level.

The back-casted tables are aligned with most aggregates of the Provincial Economic Accounts (PEA) published in November of 2013. Due to statistical limitations, they are generated at a slightly more aggregate level (the ‘Link 1997’ aggregation) than the full detail of the new classifications from 2009 forward.

While quality differences cannot be quantified, the back-casted tables are suitable for macroeconomic analytical uses that do not require complete integration with other products (such as the historical series of industry volume measures or the multifactor productivity estimates).

Back-casting methodology

The methodology for back-casting the IO tables can be roughly decomposed into the following steps, each of which will be further explained below:

  1. Conversion of benchmark tables to new commodity classification
  2. Adjustments for other classification changes
  3. Adjustments for conceptual changes
  4. Adjustments to align with PEA aggregates
  5. Balancing the tables

a) Conversion of benchmark tables to new commodity classification

The new IO commodity classification introduced in 2009 provided more relevant and detailed definitions of the IO commodities but also represented a substantial break from the previous structure. The main approach has therefore been to reallocate, wherever possible, the benchmark estimates to the new commodities based on allocation weights from the primary source data.

The return to the use of source data is motivated by two main factors. The first is that in some cases source data provide information more aligned with the new classifications; such as the product information from the Annual Survey of Manufacturers. Secondly, the high level of detail in some source data can be used to reconstruct estimates with more precision. The best example is provided by international trade, where the high level of detail from the Harmonized System can be used to reconstruct an approximation of trade estimates under the new classifications.

However, the source data-based approach could not be generalized to all the new commodities. Due to statistical difficulties, aggregation was still required for 15 commodities, such as for crude oil and bitumen or the wholesale margins and commissions.

An important drawback of returning to the original source data for reallocating the value of commodity estimates is that it reintroduces incoherencies that had previously been resolved during the data confrontation (or balancing) phase of the compilation of the IO tables. Nonetheless, since this was an exercise in the reclassification of “known” commodity values, basic statistics such as industry and category totals or other subtotals such as GDP or total intermediate inputs by industry were not impacted.

A two step approach is used to resolve the contradictory objectives of re-estimating values based on the source data while maintaining all basic information from the existing tables. The first step estimates the values under the new commodity classification while the second step re-establishes additivity of the data in the supply-use dimension (i.e., rebalances the tables).

In the first phase, the source data are simultaneously mapped to both the old and new commodity classifications for each industry and final demand category in the old IO tables. These data provide allocation weights used to apportion an appropriate amount from each IO value from the old to the new commodities. While this method generates estimates of the new commodity values that respect the published industry estimates, it inevitably generates estimates that lack coherence in their supply and demand dimensions.

The second phase re-establishes coherence from a supply-demand perspective through an algorithmic approach. A constrained optimization model is applied that minimizes variations from the estimates determined in the first phase subject to a set of constraints that enforce the supply-demand identities in basic pricesNote2. An additional constraint imposed on the model is that for each industry, the subset of new commodity values that compose a previously published commodity value must sum to the initial value of the latter. This latter constraint ensures that the industry and other basic structural identities in the published IO tables are not modified during the commodity balancing process. The model is solved in the provincial dimension and national estimates are derived as the sum of the provincial estimates.

Where source data could not provide sufficient details or coherent weights, estimates were adjusted on a case by case basis. In certain cases, estimates of supply were used to determine demand or vice versa, depending on the relative quality of the source information.

Valuation and margins

As mentioned previously, the model is solved in basic prices. The margin components are subsequently allocated based on the basic price weights of each new commodity in the previously published commodity value from the balanced IO tables. The purchaser price estimates are derived as the sum of the basic price and margin components.

The symmetric allocation of margins according to the basic price proportions is reasonable under the assumption that sufficient homogeneity in margin rates exists within the group of commodities involved. While this may be a reasonable assumption for most of the commodities allocated, certain margin rates may nonetheless differ, even within a group of similar commodities, and a selective re-examination of the margin allocation weights was necessary, especially for some of the less homogeneous margins, such as taxes.

b) Adjustments for other classification changes

The new industry classification introduced for 2009 is based on the North American Industrial Classification System (NAICS) and thus does not represent any major departures from the previous classification system. The new industrial classification has, in general, less detail in the goods-producing industries and greater detail in services, mostly in the wholesaling and retailing industries.

In the industry dimension, the revised IO tables were summed to the most detailed possible common aggregation between the old and new industry classifications. These have traditionally been referred to as the «Link» aggregations between different IO classifications. For example, the two separate industries for ‘Wineries’ and ‘Distilleries’ in the old classification are aggregated to match the ‘Wineries and distilleries’ industry in the new classification. Conversely, the 12 wholesaling and 12 retailing industries in the new classification are combined to match the two prior aggregate industries for total wholesale and retail trade. The new industry classification contains 235 industries whereas the common, “Link” industry structure contains 188.

Simple aggregation, however, is not used to resolve all differences between the two industry classification systems.  The activities of Aboriginal government, included in the ‘Other non-profit industries’ in the old classification, are classified under the government sector in the new classification. Rather than creating a common aggregation between the non-profit and government sectors, it was deemed preferable to introduce instead statistical adjustments to the IO tables that would generate separate estimates for the non-profit and aboriginal government industries.

The fixed capital formation industries in final demand followed the same general principle set for the industries in the output and input tables. Aggregation was used where possible to create a common time series with the exception of the Aboriginal government and non-profit industries. The new category of intellectual property products incorporated the values of exploration that were previously in construction, software that were previously in machinery and equipment and the new estimates of research and development.

In final demand, the final consumption expenditures of households categories in the new classification are based on the international classification standard, the Classification of Individual Consumption According to Purpose (COICOP) and differ substantially from the previous classification of personal expenditures. Since estimates are available at the detailed level for these categories from the Provincial Economic Accounts, these categories were adopted as is. The commodity dimension of these categories was determined based on the previously published composition and a reexamination of source data for major definitional changes introduced in the comprehensive revision.

c) Adjustments for conceptual changes

There are three main conceptual revisions that have a substantial effect on the IO tables. They relate to the capitalization of expenditures on research and development (R&D), military weapons systems, and exploration services. The first two changes capitalize expenditures previously treated as intermediate consumption and represent new concepts introduced with the 2012 CMEA comprehensive revision. The third change removes the routing of the output of exploration services through the non-residential construction industries, a simplification resulting from the introduction of a new fixed capital formation category for intellectual property products in the comprehensive revision.

These three major adjustments are estimated based on source data. The Gross Domestic Expenditures on Research and Development (GERD) figures published by Statistics Canada were used to estimate own-account output and purchases of market R&D by industries. For weapons systems, some of the intermediate expenditures of the defence industry are reclassified to capital expenditures based on asset information from the Financial Management System of government statistics and the aggregate capital expenditures published in the Public Accounts of Canada.

Estimates of investments in exploration services from the Oil and Gas Extraction Survey (Statistics Canada) and the Survey of Mineral Exploration, Deposit Appraisal and Mine Complex Development Expenditures (Natural Resources Canada) are used to shift the appropriate values from the non-residential construction to the IPP categories in final demand. The outputs and related inputs of the oil and gas and other engineering construction industries are reduced by an equivalent amount.

d) Adjustments to align with PEA aggregates

The IO tables are further adjusted to match the PEA aggregates published in November 2013. These include for each province or territory, the income and expenditure GDP aggregates, the detailed series of final consumption expenditures of households and the current price GDP by NAICS industryNote3, after accounting for differences due to sectoring in the IO tables.

Industry estimates were also examined in light of the revisions to the source data incorporated in the comprehensive revision. The commodity structure of the outputs and inputs of industries was adjusted to align with those revisions as well as new patterns introduced in the 2009 and subsequent benchmark IO tables.

e) Balancing the revised tables

The combination of steps described above inevitably introduces a large number of incoherencies into the data. A two stage process is used to remove these incoherencies. In the first stage, large imbalances in the supply-use framework or outliers from a time series perspective are examined and adjusted on a case by case basis. In a second stage, the remaining smaller incoherencies are eliminated through the use of a balancing algorithm, which is presented in a semi-generalized form.

The balancing algorithm generates the minimum variations necessary to remove all imbalances in the tables through the following optimization:

min x P , x N ∑ i j k l m w i j k l m ( x P i j k l m + x N i j k l m )       ( 1 )

subject to:

∑ ​ α i j k l m ( x P i j k l m − x N i j k l m + a i j k l m ) = 0      ( 2 )

x P i j k l m ≥ b P i j k l m      ( 3 )

x N i j k l m ≥ b N i j k l m      ( 4 )

where xPijklm and xNijklm are the decision variables representing the values of positive and negative variations respectively associated with each non-zero value in each province i, IO table j, commodity k, industry l, and valuation m and for the remaining exogenously set constants, wijklm specifies the weight of each variable, aijklm is equal to the value of each element in the initial unbalanced tables, αijklm is a term that is equal to +1 or -1 to define the balancing equations, bPijklm is the upper bound for the positive variations, and bNijklm is the upper bound for negative variations.

For example, for a given commodity k, setting αijklm to +1 for the elements of supply and to -1 for the elements of demand will generate the values of xPijklm and xNijklm necessary to remove imbalances between supply and demand. The values of wijklm allow the incorporation of information on the relative reliability of different elements; thus, final expenditures, where detailed estimates are deemed to be of high reliability are given a high value whereas intermediate consumption detail, deemed to be less reliable, is given a relatively lower value.

A slightly different form of equation (2) is also used to match exogenously set values. Equation (5) shows how any subset of elements can be set equal to a known value cn , where n is the number of related, appropriately ordered known values:

∑ ​ α i j k l m ( x P i j k l m − x N i j k l m + a i j k l m ) = 0 ( 2 )       ( 5 )

Finally, inequalities and proportionality relationships between variables can also be specified. For example, setting m =1 as the purchaser valuation and m = 2 as one of the margin valuations, margin values can be subject to an upper bound proportion of the purchaser value as in equation (6) or a lower bound proportion of the purchaser value as in equation (7):

( u i j k l − 1 ) ( x P ijkl 1 − x N ijkl 1 + a ijkl 1 ) ≥ 0       ( 6 )

( l ijkl + 1 ) ( x P ijkl 1 − x N ijkl 1 + a ijkl 1 ) ≤ 0       ( 7 )

where uijkl is the upper bound on margin rates and lijkl is the lower bound on margin rates.

The linearity of the balancing algorithm presents a great advantage in solving large-scale problems. While such algorithms provide expedient solutions, the resulting mechanically-rebalanced estimates are not of equal quality to those estimated directly by experienced national accounts compilers.

Notes:

  1. Statistics Canada. 2013. “Modernization of the Input-Output tables”. Industry Accounts Division. Statistics Canada.
  2. See section e) for further details on the optimization models used.
  3. See CANSIM 384-0037, 384-0038, 384-0041, and 379-0030.

The Youth in Transition Survey (YITS) - Cycle 6

Post-Secondary Engagement Roster

Section: Entry

Variable Name: RecordID
Position: 1
Length: 10

Respondent identification, sequenced from 1 to end.

Section: Post-Secondary Engagement

Variable Name: KE6Q23
Position: 11
Length: 1

During most of your first year, did you live in a student residence at your school?

Table 1
  Response FREQ WTD
1 Yes 6 N/A
2 No 249 N/A
6 Valid skip 22 N/A
9 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, except those who did all of their program through correspondence or other type of distance education.

Section: Derived Variables

Variable Name: KE6Q24
Position: 12
Length: 2

Whom did you live with most of the time?

Table 2
  Response FREQ WTD
01 Parent(s) or guardian(s) 76 N/A
02 girlfriend/boyfriend/spouse and/or children 80 N/A
03 other relatives (brother, aunt) 13 N/A
04 students or friends (off campus) 34 N/A
05 boarding house with strangers 6 N/A
06 on your own (nobody else) 56 N/A
07 Other - Specify 6 N/A
96 Valid skip 6 N/A
99 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, except those who lived in a student residence at their school during most of their first year.
Note: KT3B

Variable Name: KE6Q25
Position: 14
Length: 2

During your first year, how many classes did you have of fewer than 35 people? Was it...?

Table 3
  Response FREQ WTD
01 none of them 36 N/A
02 less than half 24 N/A
03 about half 20 N/A
04 more than half 10 N/A
05 all of them 160 N/A
06 had no classroom instruction 4 N/A
96 Valid skip 22 N/A
97 Don't know 1 N/A
99 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, who did not do all of their program through correspondence or other type of distance education.

Variable Name: KE6Q26
Position: 16
Length: 2

How many classes did you have of 75 people or more?

Table 4
  Response FREQ WTD
01 None of them 52 N/A
02 Less than half 15 N/A
03 About half 6 N/A
04 More than half 6 N/A
05 All of them 11 N/A
96 Valid skip 186 N/A
97 Don't know 1 N/A
99 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, who did not do all of their program through correspondence or other type of distance education, who had none or some classes of fewer than 35 people.

Variable Name: KE6Q27
Position: 18
Length: 1

During or before your first year, did you take part in any workshops, programs or courses designed to help you adjust to first-year studies?

Table 5
  Response FREQ WTD
1 Yes 27 N/A
2 No 226 N/A
6 Valid skip 22 N/A
7 Don't know 2 N/A
9 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, who did not do all of their program through correspondence or other type of distance education.

Variable Name: KE6Q28
Position: 19
Length: 2

In your first year, what was your overall grade average as a percentage?

Table 6
  Response FREQ WTD
01 90% or above (mainly A+'s) 58 N/A
02 80 to 89% (mainly A's, A-'s) 121 N/A
03 70 to 79% (mainly B's) 73 N/A
04 60 to 69% (mainly C's) 14 N/A
05 50 to 59% (mainly D's) 0 N/A
06 Under 50% (mainly E's and F's) 0 N/A
97 Don't know 10 N/A
98 Refused 1 N/A
99 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.

Variable Name: KE6Q29
Position: 21
Length: 2

Could you give me a letter grade?

Table 7
  Response FREQ WTD
01 A+ (90% or above) 0 N/A
02 A- to A (80 to 89%) 1 N/A
03 B- to B+ (70 to 79%) 0 N/A
04 C- to C+ (60 to 69%) 0 N/A
05 D- to D+ (50 to 59%) 0 N/A
06 E to F (Under 50%) 0 N/A
96 Valid skip 266 N/A
97 Don't know 10 N/A
99 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, who refused to say or did not know what their overall grade average as a percentage was.

Variable Name: KE6Q30
Position: 23
Length: 2

During your first year, about how many hours each week did you spend studying or doing assigned work outside of class?

Table 8
  Response FREQ WTD
01 Zero 7 N/A
02 Less than one hour per week 5 N/A
03 1 to 3 hours 40 N/A
04 4 to 7 hours 88 N/A
05 8 to 14 hours 68 N/A
06 15 to 20 hours 36 N/A
07 21 to 30 hours 16 N/A
08 More than 30 hours per week 14 N/A
97 Don't know 2 N/A
98 Refused 1 N/A
99 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.

Variable Name: KE6Q30A
Position: 25
Length: 1

Did you have any work or reading assigned to do outside of class?

Table 9
  Response FREQ WTD
1 Yes  1 N/A
2 No 6 N/A
6 Valid skip 268 N/A
9 Not stated 3 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, who during the first year spent zero hours each week studying or doing assigned work outside class.

Variable Name: KE6Q33
Position: 26
Length: 2

How many times per month did you think about dropping out? Was it ...?

Table 10
  Response FREQ WTD
01 never 214 N/A
02 less than once a month 23 N/A
03 once or twice a month 24 N/A
04 about once a week 8 N/A
05 more than once a week 7 N/A
97 Don't know 1 N/A
99 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.
Note: K8

Variable Name: KE6Q35
Position: 28
Length: 3

During the school year, about how many hours each week did you do unpaid work in your family's business or farm, if they had one?

Allowed values: 000 : 168

Table 11
  Response FREQ WTD
000 : 020 Hours per week unpaid work 27 N/A
996 Valid skip 251 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, who lived in a household where someone in their family owned a business or a farm.

Variable Name: KE6Q38
Position: 31
Length: 3

During the school year, about how many hours each week did you work at a job for pay? Also count odd jobs, but not work placements for school like Co-op or other work education programs.

Allowed values: 000 : 168

Table 12
  Response FREQ WTD
000 : 080 Hours per week paid work 275 N/A
997 Don't know 2 N/A
999 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.
Note: K9C

Variable Name: KE6Q41A
Position: 34
Length: 1

During the school year, did working at a job or odd jobs cause a "Decrease, Increase, or No change"

... in your overall marks?

Table 13
  Response FREQ WTD
1 Decrease 30 N/A
2 Increase 3 N/A
3 No change 102 N/A
6 Valid skip 142 N/A
7 Don't know 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, who reported working during the school year.

Variable Name: KE6Q41B
Position: 35
Length: 1

Did working at a job or odd jobs cause a "Decrease, Increase, or No change"

... in the amount of studying or school work you did?

Table 14
  Response FREQ WTD
1 Decrease 42 N/A
2 Increase 3 N/A
3 No change 90 N/A
6 Valid skip 142 N/A
7 Don't know 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, who reported working during the school year.

Variable Name: KE6Q41C
Position: 36
Length: 1

Did working at a job or odd jobs cause a "Decrease, Increase, or No change"

... in your interest in school?

Table 15
  Response FREQ WTD
1 Decrease 14 N/A
2 Increase 20 N/A
3 No change 101 N/A
6 Valid skip 142 N/A
7 Don't know 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, who reported working during the school year.

Variable Name: KE6Q41D
Position: 37
Length: 1

Did working at a job or odd jobs cause a "Decrease, Increase, or No change"

... in the time you spent with your friends?

Table 16
  Response FREQ WTD
1 Decrease 66 N/A
2 Increase 5 N/A
3 No change 64 N/A
6 Valid skip 142 N/A
7 Don't know 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, who reported working during the school year.

Variable Name: KE6Q41E
Position: 38
Length: 1

Did working at a job or odd jobs cause a "Decrease, Increase, or No change"

... in the number of hours of sleep you got?

Table 17
  Response FREQ WTD
1 Decrease 69 N/A
2 Increase 0 N/A
3 No change 66 N/A
6 Valid skip 142 N/A
7 Don't know 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, who reported working during the school year.

Variable Name: KE6Q45
Position: 39
Length: 2

How many of your instructors showed an interest in helping students succeed?

Table 18
  Response FREQ WTD
01 None of them 4 N/A
02 Very few 9 N/A
03 Some 26 N/A
04 Most 65 N/A
05 All 146 N/A
96 Valid skip 26 N/A
97 Don't know 1 N/A
99 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6, except those who did all of their program through correspondence or other type of distance education and those who reported no classroom instruction.

Variable Name: KE6Q47
Position: 41
Length: 2

I missed deadlines given for assigned work.

Table 19
  Response FREQ WTD
01 Never 215 N/A
02 Rarely 37 N/A
03 Some of the time 19 N/A
04 Most of the time 1 N/A
05 All of the time 1 N/A
06 No work assigned 3 N/A
97 Don't know 1 N/A
99 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.

Variable Name: KE6Q53
Position: 43
Length: 1

There were people at school that I could talk to about personal things.

Table 20
  Response FREQ WTD
1 Strongly disagree 15 N/A
2 Disagree 40 N/A
3 Agree 135 N/A
4 Strongly agree 82 N/A
7 Don't know 4 N/A
8 Refused 1 N/A
9 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.

Variable Name: KE6Q54
Position: 44
Length: 1

During my first year, I felt I had found the right program for me.

Table 21
  Response FREQ WTD
1 Strongly disagree 10 N/A
2 Disagree 18 N/A
3 Agree 134 N/A
4 Strongly agree 114 N/A
7 Don't know 1 N/A
9 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.

Variable Name: KE6Q55
Position: 45
Length: 1

My first year helped me to get a better idea of my future plans.

Table 22
  Response FREQ WTD
1 Strongly disagree 3 N/A
2 Disagree 16 N/A
3 Agree 146 N/A
4 Strongly agree 111 N/A
7 Don't know 1 N/A
9 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.

Variable Name: KE6Q56
Position: 46
Length: 1

My first year gave me skills that would help me in the job market.

Table 23
  Response FREQ WTD
1 Strongly disagree 3 N/A
2 Disagree 21 N/A
3 Agree 134 N/A
4 Strongly agree 118 N/A
7 Don't know 1 N/A
9 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.

Variable Name: KE6Q57
Position: 47
Length: 1

During my first year, I was sure of the type of work I would like to have in the future.

Table 24
  Response FREQ WTD
1 Strongly disagree 6 N/A
2 Disagree 39 N/A
3 Agree 138 N/A
4 Strongly agree 91 N/A
7 Don't know 3 N/A
9 Not stated 1 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.

Section: Derived Variables

Variable Name: KINSTD6
Position: 48
Length: 2

Post-secondary institution identifier which identifies which institution this experience is associated with.

Allowed values: 21 : 64

Table 25
  Response FREQ WTD
61 : 63 Institution identifier 278 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.
Note: This variable was derived from the variables EngforCEGEP EngforNonCEGEP (variables from the sample file) H6Q324 and H6Q325.

The first digit of the identifier refers to the cycle in which the respondent started at the institution and the second points to institution in that cycle. For cycle 2 and beyond match this identifier to PSILNGID to obtain information on that institution.  This identifier does not exist on the cycle 1 data file.  If you need to retrieve a variable from the cycle 1 file you will need to refer to the table on Appendix B in the current User Guide, which indicates which variables belong to which institution. For example if you need question H8, and KINSTID=12 then variable H8b, is associated with institution 2.

Variable Name: KEXPIDD6
Position: 50
Length: 3

Variable that indicates a respondent's 1st or 2nd post-secondary experience, in Quebec or non Quebec, in a cegep or non-cegep institution.

Table 26
  Response FREQ WTD
111 1st post-secondary experience, in Quebec, in a cegep 14 N/A
112 1st post-secondary experience, in Quebec, in a non-cegep 6 N/A
122 1st post-secondary experience, not in Quebec, in a non-cegep 209 N/A
212 2nd post-secondary experience, in Quebec, in any type of institution 47 N/A
222

2nd post-secondary experience, not in Quebec, in any type of institution

 2 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.
Note: This variable was derived from the variables: name1, name2, k_c02b, k_c06a, k_c07a, k_c63a, (variables from the sample file) namea_1 nameb_1.

The 1st position determines if it is the 1st or 2nd post-secondary experience, the 2nd position determines if it was in  (1) Quebec or (2) non-Quebec province and the 3rd position determines if it is (1) cegep or (2) non-cegep institution.

For cycle 2, Module K was revised to accommodate the possible collection of zero, one or two sets of postsecondary engagement questions.  The goal, originally, was to acquire information with respect to the respondent's first postsecondary experience.  For many of the respondents, this would simply be the first institution above the high school level that they have attended.  However, based on information already obtained during the YITS cycle 1 data collection, it was found that students attending CEGEP institutions and students attending NON-CEGEP institutions (e.g., university, community college outside of Quebec, etc) have two distinct postsecondary experiences (in terms of cost and distance away from home).  This motivated the decision to attempt to collect two sets of postsecondary engagement questions for students studying in Quebec (1 CEGEP and 1 first non-CEGEP).

N.B., If the first postsecondary experience is in Quebec in a non-cegep, no cegep experience will be sought.

Variable Name: HPDPSD6
Position: 53
Length: 2

Derived variable:  Average number of hours of paid work per week during the first year of post-secondary school. (Use with variable KEXPIDD6).

Table 27
  Response FREQ WTD
01 1 to less than 10 hours 14 N/A
02 10 to less than 20 hours 36 N/A
03 20 to less than 30 hours 25 N/A
04 30 hours or more 57 N/A
05 Zero, did not work 144 N/A
99

Not stated

 2 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.
Note: This variable was derived from the variables: KE6Q38 and KE6Q40.

For respondents whose 1st postsecondary experience was a cegep in Quebec, a 2nd non-cegep experience may have been collected.   Use KEXPIDD6 to identify if this is the 1st or 2nd experience.

Variable Name: HUWPSD6
Position: 55
Length: 2

Derived variable: Average number of hours of unpaid work in family's business or farm per week during the first year of post-secondary school. (Use with variable KEXPIDD6).

Table 28
  Response FREQ WTD
01 1 to less than 10 hours 4 N/A
02 10 to less than 20 hours 0 N/A
03 20 to less than 30 hours 1 N/A
04 30 hours or more 0 N/A
05 Zero, did not work 22 N/A
96

Valid skip

 251 N/A
Total 278 N/A

Coverage: Respondents whose 1st and/or 2nd post-secondary experience occurred in cycle 6.
Note: This variable was derived from the variables: KE6Q35 and KE6Q37.

For respondents whose 1st postsecondary experience was a cegep in Quebec, a 2nd non-cegep experience may have been collected. Use KEXPIDD6 to identify if this is the 1st or 2nd experience.

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