Electric Power Generating Stations Annual Survey 2011 Reporting Guide

This guide is designed to assist you as you complete the 2011 Electric Power Generating StationsAnnual Survey.

Help Line: (613) 951-5419

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. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation. Therefore, for example, the Canada Revenue Agency cannot access identifiable survey records from Statistics Canada.

Information from this survey will be used for statistical purposes only and will be published in aggregate form only.

Table of contents

A - General information
B - Reporting Instructions
C - Revisions
D - Station Name
E - Station Type
F - Station Latitude and Longitude
G - Stand-by Status
H - Principal Fuel or Water Source
I - Station Detail

A – General information

Survey Purpose:

The purpose of this survey is to obtain information on the electricity generating capacity in Canada. This information 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 government agencies to fulfill their regulatory responsibilities. The private sector also uses this information in the corporate decision-making process.

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 must 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 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 Alberta Ministry of Energy, the British Columbia Ministry of Energy and Mines, 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.

B – Reporting Instructions

To reduce your burden of response, the attached computer print-out contains the data we have on file for each of your generating station(s) as of December 31, 2011. We will continue to pre-fill this form unless otherwise notified.

Only report generating stations in which this company is the majority or sole owner.

Review all information associated with each generating station and indicate any additions, deletions and revisions on the pre-filled print-out.

If a new generating station was commissioned during the reference year of this survey, please complete all the questions on the form provided.

If a generating station is no longer in operation, please write "decommissioned" by the station name.

Name-plate rating should be reported except where, due to permanent changes (such as an upgrade or a replacement), they would be inappropriate.

Data completed by Statistics Canada includes: RespID, Business Number, NAICS (North America Industrial Classification System) and SIC.

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

C – Revisions:

Located on the front page of the questionnaire, please indicate the status of this return in the appropriate box – Revisions attached or No Revisions.

D – Station Name:

Each station should be reported separately, as applicable. Indicate the name of the station. Also indicate the provincial location of each station.

E – Station Type:

Indicate which type of station is present – Combustion Turbine, Hydraulic (Hydro) Turbine, Internal Combustion Turbine, Solar, Nuclear Steam Turbine, Conventional Steam Turbine, Tidal Power Turbine or Wind Power Turbine.

F - Station Latitude and Longitude:

If known please indicate as applicable.

G – Standby Status:

If this station is a standby facility (a unit whose operation is not part of the planned load), please write "yes".
If this station is not a standby facility, please write "no".

H – Principal Fuel or Water Source:

Indicate the "primary" fuel used at this station. In the case of Hydro stations, name the river or lake utilized.
If this is a co-generation facility and the steam turbine is operated using recaptured waste heat, please indicate steam as the fuel source.

I – Station Detail:

Indicate the station unit ID name and or unit number, the commission year of the unit, the unit's capacity and total Capacity of the station (report capacity in kilowatts).

Thank you for your participation

2012-2013 Canadian Health Measures Survey, Cycle 3 - Privacy impact assessment

Introduction

Statistics Canada began conducting the Canadian Health Measures Survey (CHMS) in 2007. Ongoing data collection continues in two year cycles. This survey collects direct physical measures of Canadians' health including blood and urine samples for laboratory testing. For each two-year collection period, about 5,500 participants among the ages of 3 to 79 complete the physical measures testing in the CHMS mobile examination centre that travels to sites across the country. Participation in all components of the survey is voluntary for the selected participants.

Additionally, all components of this national survey are reviewed and authorized annually by the Health Canada/Public Health Agency of Canada Research Ethics Board (REB# 2005-0025).

Objectives

The extensive privacy impact assessment for the CHMS is reviewed and updated for changes at the beginning of each new collection period. These updates are designed to identify new privacy, confidentiality and security risks to participants' personal information, to make recommendations to resolve or mitigate these risks, and to report on ongoing or previously identified concerns.

Description

The CHMS collects information to inform policy makers, health professionals and researchers on Canadian health status such as exposure to environmental contaminants and infectious disease, lifestyle characteristics (e.g., physical activity levels and nutritional status) and the extent of chronic diseases (e.g. heart and lung health). The survey also provides the infrastructure to explore new measurement technologies and emerging public health issues in Canada.

The CHMS collects contextual health—and safety screening—information through a questionnaire administered in the household. Later, at the mobile examination centre, participants undergo a series of physical measure tests and are asked to provide blood and urine samples that are sent to CHMS reference labs for testing. A small portion of the samples (blood, urine, DNA) may be stored for use in additional health studies from participants who agree to this use of their samples.

Privacy risks and mitigation measures

Because of the highly personal nature of the information being collected, tested and processed, the ongoing privacy impact assessment identifies several privacy issues and risks that are communicated and discussed with CHMS participants. This permits respondents to make an informed decision on whether to participate in the survey including the following:

  • Consent to specific uses of the information participants provide (linking, sharing, storage)
  • Reporting back survey and laboratory results to respondents
  • Transmission of information/samples between the mobile examination centre, laboratories and Statistics Canada.

Measures put in place to address these issues include providing comprehensive information to obtain separate written informed consents—at the time of first collection—from respondents to participate in the survey, sample storage (blood and urine), DNA storage and infectious disease testing. Nine times throughout the 3 to 4 hour collection period participants are asked to direct Statistics Canada in the way their information may be used or for their wishes on restriction to use.

CHMS Biobank

Concerns raised by the federal privacy commissioner's office during previous reviews centred on the uncertainty of the CHMS biobank and the storage of blood, urine and DNA for use in future health studies, including the following issues:

  • Retention of personal identifiers
  • Storage of physical specimens (blood, urine and DNA) and destruction
  • Permission of respondents for future tests
  • Governance and criteria for use of stored specimens in future health studies
  • Informing participants about additional studies and methods to withdraw consent
  • Consent to stored specimens regarding children in the survey

Governance of the Biobank is now determined as are procedures for access and use of the stored specimens. Measures put in place to address previous concerns include enhanced security for specimens, with barcode labelling, in the National Microbiology Laboratory in Winnipeg. Laboratories authorized to conduct additional study analyses are secured and authorized under contract to monitor specimen use through to destruction, and all lab results are returned to Statistics Canada for processing and data creation. Researchers using these data must become deemed employees of Statistics Canada which entails a security check, a conflict of interest declaration, and a sworn oath that they understand and accept the responsibility that disclosure of any personal information is a criminal offence.

Additionally, the procedures surrounding access and use of the CHMS stored samples have been vetted through extensive consultations and tested in two pilot studies approved through independent scientific and ethical reviews. The (a) governance of the Biobank, (b) criteria for use of stored specimens, and (c) ongoing rights of participants to find out how their samples are being used and to withdraw their samples at any time form the backbone measures that Statistics Canada has put in place to respond to privacy concerns about the CHMS biobank. Details of these measures are available at www.statcan.gc.ca/chms under the biobank section.

Conclusion

With the enhanced and existing Statistics Canada safeguards and procedures, as well as those in place at the mobile clinics and the laboratories, any remaining risks will be either negligible or are such that Statistics Canada is prepared to accept and manage these risks.

Coal monthly 2011

Confidential when completed

Collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S19.

Completion of the questionnaire is a legal requirement under this Act.

Si vous préférez ce questionnaire en français, veuillez cocher

Correct pre-printed information if necessary.

Purpose of the 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, is used by all levels of government in establishing informed policies in the energy area. The private sector likewiseuses this information in the corporate decision-making process.

Confidentiality

Statistics Canada is prohibited by law from releasing any information from this survey which would identify a person, business, or organization, without their permission or without due legal authority. The confidentiality provisions of the Statistics Act are not affected by either the Access to InformationAct or any other legislation. Therefore, for example, the Canada Revenue Agency cannot access identifiable survey data from Statistics Canada.

Information from this survey will be used for statistical purposes only and will be published in aggregate form only.

Data linkage

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

Data Sharing Agreements

To reduce response burden and to ensure uniform statistics, Statistics Canada has entered into data sharing agreements with provincial and territorial statistical agencies and other government organizations for the sharing of data from this survey. These organizations must 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 arequirement to use the data.

Agreements to share information from this survey exist under Section 11 of the Statistics Act with the statistical agencies of Newfoundland and Labrador, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia and the Yukon, regarding business establishments located or operating in their respective jurisdiction. These statistical agencies have the legislative authority to collect this information on their own or jointly with Statistics Canada. Their legislation also contains the same confidentiality protection and outlines similar penalties for disclosureof confidential information as the federal Statistics Act.

Agreements to share information from this survey exist under Section 12 of the Statistics Act with the statistical agencies of Prince Edward Island, the Northwest Territories and Nunavut, the Saskatchewan Industry and Resources, the Alberta Energy Resources Conservation Board, the National Energy Board, the Alberta Department of Energy, the British Columbia Ministry of Energy, Mines and Petroleum Resources, 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 or operating within the jurisdiction of the respective province or territory. 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 organization with which you do not want to share your data.

Note that there is no right of refusal with respect to sharing the data with Saskatchewan Industry and Resources and Alberta Energy Resources Conservation Board. In addition to being collected under the Statistics Act, the information is collected pursuant to The Oil and Gas Conservation Act and Regulations, 1985 (Saskatchewan) and the Mineral Resources Act (Saskatchewan) on behalf of Saskatchewan Industry and Resources, and the Alberta Coal Conservation Regulation and sections 12.050 - 12.053 of the Alberta Gas and Oil Conservation Regulation, on behalf of the Alberta Energy Resources Conservation Board.

Instructions

  • If you did not produce, use or ship any coal during the month, please check box and return this form.
     
  • Statistics Canada and the provincial agencies listed below participate in the joint collection of these data. Therefore, please complete and return this form to Statistics Canada and a copy to the appropriate agency by the 20th day following the month under review.
     
  • Mines Branch,
    Geology and Mines Division,
    Saskatchewan Industries and Resources
    1914 Hamilton Street,
    Regina, Saskatchewan, S4P 4V4.

    Alberta Energy Resources Conservation Board
    Statistics Branch
    640 Fifth Avenue S.W.
    Calgary, Alberta
    T2P 3G4

    British Columbia Ministry of Energy,
    Mines and Petroleum Resources
    P.O. 9318,
    Station Provincial Government,
    Victoria, B.C., V8W 9N3

Fax or Other Electronic Transmission Disclosure

Statistics Canada advises you that there could be a risk of disclosure during the facsimile or other electronic transmission. However, upon receiptof your information, Statistics Canada will provide the guaranteed level of protection afforded all information collected under the authority of the Statistics Act.

Certification

I certify that the information contained herein is substantially complete and correct to the best of my knowledge and belief.

Signature:
Date: dd/mm/yyyy
Name of signer (please print):
Official position of signer:
E-mail address:
Telephone:
Extension:
Fax:

Note: Please report to nearest metric tonne and dollar. Do not duplicate amounts. estimate if necessary.

  For Statistics Canada use only Raw coal
Metric tonnes Value $
Gross underground run-of-mine production 1.1   xxx
Gross surface run-of-mine production 1.2   xxx
Sent to discard heap 1.3   xxx
Reclaimed from discard heap, tailing pond etc. ) 1.4   xxx
Total net production (1.1 + 1.2 – 1.3 + 1.4) 1.5   xxx
Processed at preparation plant(s) 1.6   xxx
Plant losses xx xxx xxx
Preparation plant output (3.1 – 3.3) xx xxx xxx
Raw/processed inventory – end of previous month 1.8   xxx
Raw/processed inventory – end of present month 1.9   xxx
Adjustments (state cause) /
To or from other producers (specify):
1.10   xxx
Marketable production (raw = 1.5 - 1.6 + 1.8 - 1.9 ± 1.10)
(clean = 3.4 + 3.5 - 3.6 ± 3.7)
1.11   xxx
Disposal
Within Province
Electric power generating plants
2.1    
Industrial consumers 2.2    
Coke plants (including char) 2.3    
Residential consumers (including employees) 2.4    
Company use (boilers, etc. ) 2.5    
Other (specify): 2.6    
Total disposal within province (raw = 2.1 to 2.6) (clean = 4.1 to 4.6) 2.7    
Other provinces (specify): 2    
2    
To shipping port – Atlantic or Lake Superior 2.19    
To shipping port – Pacific 2.20    
To U.S.A. by road or rail 2.21    
Total disposal from mine (raw = 2.1 to 2.21) (clean = 4.1 to 4.21) 2.22    
Atlantic or Lake Superior Ports
Port inventory at end of previous month 2.23   xxx
Port inventory at end of present month 2.24   xxx
Shipments from port – (specify):
 
2.25    
2.25    
Adjustments (state cause) /
To or from other producers (specify):
(raw = 2,19 + 2.23 – 2.24 – 2.25) (clean = 4.19 + 4.23 – 4.24 – 4.25)
2.26   xxx
Pacific Port
Port inventory at end of previous month (specify port): 2.27   xxx
Port inventory at end of present month 2.28   xxx
Shipments from port – Japan 2.29.559    
Shipments from port – other (specify): 2.29    
2.29    
2.29    
2.29    
2.29    
2.29    
2.29    
2.29    
2.29    
2.29    
2.29    
2.29    
Shipments from port to British Columbia customers 2.38    
Adjustments (state cause) /
To or from other producers (specify):
(raw = 2.20 + 2.27 – 2.28 – 2.29 – 2.38) (clean = 4.20 + 4.27 – 4.28 – 4.29 –4.38)
2.30   xxx
Note: a) Mine and preparation plant values should be F.O.B. and should not include any outward transportation charges.
b) Port shipment should be F.O.B. and include port loading and handling costs but not outward transportation charges.
c) The value of shipments to port (lines 2.19, 2.20, 4.19, 4.20) should reflect the real market value. Therefore a value based on the estimated selling value at the port minus transportation costs from the mine would be appropriate.

 

For Statistics Canada use only Clean coal
Metallurgical* Thermal Total
Metric tonnes Value $ Metric tonnes Value $ Metric tonnes Value $
xxx xxx xxx xxx xxx xxx xxx
xxx xxx xxx xxx xxx xxx xxx
xxx xxx xxx xxx xxx xxx xxx
xxx xxx xxx xxx xxx xxx xxx
xxx xxx xxx xxx xxx xxx xxx
3.1 xxx xxx xxx xxx   xxx
3.3 xxx xxx xxx xxx   xxx
3.4   xxx   xxx   xxx
3.5   xxx   xxx    
3.6   xxx   xxx    
3.7   xxx   xxx    
3.8   xxx   xxx    
4.1            
4.2            
4.3            
4.4            
4.5            
4.6            
4.7            
4            
4            
4.19            
4.20            
4.21            
4.22            
4.23   xxx   xxx    
4.24   xxx   xxx    
4.25            
4.25            
4.26   xxx   xxx    
4.27   xxx   xxx    
4.28   xxx   xxx    
4.29.559            
4.29            
4.29            
4.29            
4.29            
4.29            
4.29            
4.29            
4.29            
4.29            
4.29            
4.29            
4.29            
4.38            
4.30   xxx   xxx    
* Include under metallurgical all coal (PCI, weak, soft, hard) destined for coking or steel plants.

 

Estimated Export Marketing Expenses Average cost/metric tonne
Transportation to port  
Loading and handling at port  
Other port (specify):  

Provincial data (please complete the appropriate provincial section)

Section 1 - Alberta

  Average daily work force during reporting month (include all employees at site) mine number run of mine production
metallurgical thermal
Staff        
Hourly        
Total        

Section 2 - British Columbia

Employees receiving pay on last working day of the month whether paid on monthly, weekly, hourly or piece work basis.

Employment Surface Underground Preparation plant Salaries and wages
Mine and related        
Administrative and office        
Other        
Total at this location        

Based on the data provided on previous pages, if Pulverized Coal Injection (PCI) is produced/sold, please provide the following information for PCI only:

  Volume Value
(metric tonnes) (in $)
Marketable production    
Total disposal from mine    
Total shipments from port (atlantic or Pacific)    

Policing Services Program
Canadian Centre for Justice Statistics (CCJS)
Statistics Canada

Table 1: Actual Personnel as of May 15, 2011 by Category and Sex

General Instructions:

  1. This table refers to the actual number of permanent full-time and part-time employees (police officer and civilian) on the personnel roster as of May 15. Please do NOT include contract or casual workers who are not employed on a permanent basis. (Please see additional notes for police officer personnel on long-term leave and their replacements.)
  2. Convert permanent part-time employees to a full-time equivalent. For example, four permanent part-time workers who each work ten hours a week would be considered one full-time employee.
  3. Please ensure that the sub-totals are completed for Total Police Officers and Total Special Constables and Civilian Personnel. These two lines are then added together for Total Personnel.
  4. Contract employees are excluded from the personnel counts; however, the costs associated with these employees should be included with operating expenditures.

Table 1: Actual Personnel as of May 15, by Category and Sex

Police officers:

Include only fully-sworn, active police officers and constables who are paid from the police service’s annual budget. Do not include police officers on long-term leave (educational, disability, ‘secondment-out’) who are not being paid by the police service’s annual budget.

Include officers who are paid from external agencies through full or partial cost-recovery agreements, (e.g. airport policing contracts).

Please include police officer personnel actively replacing, (or ‘back-filling’ the positions held by), police officers on long-term leave from the police service, and who are paid by the police service’s annual budget.

Senior Officers
This includes personnel who have obtained senior officer status, normally at the rank of lieutenant or higher, such as chiefs, deputy chiefs, staff superintendents, superintendents, staff inspectors, inspectors, lieutenants, and other equivalent ranks.

Non-Commissioned Officers
Include personnel between the rank of constable and lieutenant, such as staff-sergeants, sergeants, detective-sergeants, corporals and all equivalent ranks.

Constables
All classes of constables, except Special Constables are included in this category. Special Constables are included under Special Constables and Civilian Personnel as they are not fully-sworn police officers.

Total Police Officers
Provide the total number of police officers for each gender and the total number of all police officers on the force. This grand total is the total current police strength for the department as of May 15.

Special constables and civilian personnel:

Include all permanent or regular full-time and part-time special constables and civilian personnel who are paid from the police service's budget. Exclude special constables and civilian personnel that the municipality supplies at no charge (or who are paid by the municipality).

Native Special Constables
Native special constables are personnel with limited law enforcement authority. They provide a restrictive policing role within aboriginal communities and act as liaison between fully-sworn police officers and aboriginal members of the community. Many of the Native Special Constables were part of the Native Special Constable Program that was sponsored by the R.C.M.P.

Security Officers / Guards
Includes special constables employed as court security officers and other security guards who provide security for persons in custody and in court.

By-Law Enforcement, Parking Control Officers
This category includes special constables with authority to enforce municipal by-laws such as parking control officers. Do NOT include officers paid by the municipality.

Cadets / Trainees
Includes all paid personnel engaged in training programs intended to enable them to achieve the status of fully-sworn constables, but who have not yet achieved that status. This category excludes fully-sworn police officers on in-service training programs.

Communications - Dispatch
This category includes all civilian dispatchers, telephone switchboard operators, call evaluators and complaint takers. These responsibilities may be assigned to separate individuals in larger forces, while one person may be responsible for all of the above tasks in a smaller force.

Management / Professionals
This category includes civilians in any of the following positions: managers, administrators, systems/ computer analysts, scientists, and other skilled civilian personnel.

Clerical Support
This category includes all civilian personnel who perform clerical support, secretarial or reception duties.

School Crossing Guards
This category includes paid personnel who are assigned to ensure the safety of children while they are crossing intersections. As school crossing guards tend to work on a part time basis (eg. 3 to 4 hours per day and for about three quarters of the year), please convert the number of school crossing guards to their full time equivalent taking into consideration the number of hours worked per day and the number of months worked per year. The following formula could be used for the example above: Actual number of school crossing guards x 0.5 x 0.75 = full time equivalent.

Other
(please specify)
Include all other special constable or civilian personnel not counted in the above categories. Examples of personnel in this category are blue-collar workers, mechanics, and building maintenance personnel.

Total Special Constables and Civilian Personnel
Provide the total number of special constables and civilian personnel for each gender and the total number of all special constables and civilian personnel on the force (sum of lines 5 to 13). This is the total current special constable and civilian strength for the department as of May 15.

Total Personnel
This is the total of all personnel by gender and the grand total of all personnel.

Table 2: Authorized Strength and Other Personnel as of May 15, 2011

Authorized Strength

Authorized Police Officer Strength

Report the number of fully-sworn police officers the police department is allowed to employ this calendar or fiscal year. (This number is independent of the actual number of police officers on strength on May 15 in Table 1.)

Other Personnel

Auxiliary / Reserve Police Personnel
An auxiliary or reserve member is a law enforcement assistant who works on a volunteer basis, under the supervision of a regular member of a police force and whose involvement in law enforcement is limited under the terms of their appointment. Generally, reserve/auxiliary police personnel are restricted from involvement in direct enforcement.

Casual / Temporary Police Officers

This category includes all paid, casual (non-permanent) sworn police officers who have full law enforcement authority. These individuals do not occupy authorized positions or person-years and as a result are excluded from the police personnel counts. This category includes employees who, because of the casual or temporary nature of their employment, may not qualify for benefits such as sick leave or vacation leave. These workers are generally on an “on-call list” and can be called in to replace permanent police officers when needed. Permanent part-time police officers who work on a regular schedule should be excluded from this count and included in the personnel counts (Table 1).

Casual / Temporary Civilians

This category includes all paid, casual (non-permanent) civilian workers. These individuals do not occupy authorized positions or person years and as a result are excluded from the civilian personnel counts. This category includes employees who because of the casual or temporary nature of their employment may not qualify for benefits such as sick leave or vacation leave. These workers are generally on an “on-call list” and can be called to replace permanent civilian personnel when needed. Permanent part-time civilian employees who work on a regular schedule should be excluded from this count and included in the personnel counts (Table 1).

Table 3
This table has been discontinued.

Table 4 - Year End Operating Expenditures

General Instructions:

  1. Check the appropriate box on the survey form to Indicate whether the operational expenditures are for a calendar year (January 1st to December 31st) or for a fiscal year (April 1st to March 31st).
  2. Report the actual amounts to the nearest dollar.
  3. Expenditures represent gross expenditures. Do not include revenues and recoveries.
  4. Do not include "capital" expenditures, funding from external sources or cost-recovery dollars.
  5. With the exception of benefits, record only those costs that are paid from the police budget, not those paid from external agencies through cost-recovery agreements.
  6. Note that the "benefits" component has been isolated on the survey for comparability purposes. Please ensure that these expenditures are excluded from salaries and wages in order to avoid double counting. For benefits, include the amount which is paid from the police force budget as well as the amount which is paid from other government sources (if applicable – e.g., in the case of First Nations police services).
  7. The cost of Vehicle Purchases and Vehicle Leasing are now to be included in “Other Operating Expenditures”, only if they are included in the police force operating expenditures.
  8. The second part of Table 4 includes four items: Vehicle Purchases, Vehicle Leasing, Computer Services, Accommodations and Emergency “911” Telephone Services. These items have been isolated for comparability purposes. Indicate on the form by marking an “X” in the appropriate column or columns to indicate which type of budget pays for these.

Table 4: Year End Operating Expenditures
Report the final expenditure figures for the fiscal year 2010/2011 or calendar year 2010 for each of the following categories to the nearest dollar. Note: Do not include any funding from external sources, or cost-recovery dollars.

Salaries and Wages
All salaries and wages including overtime, shift premiums, holiday pay, long service payments, isolation pay and bursaries are included here.

Benefits
All payments made to employees which are neither salaries nor wages, are considered benefits. Examples include: employer's contribution to: Canada Pension Plan (CPP), Unemployment Insurance (UIC), Superannuation / Pension Plans, Health Insurance Plans, Dental Plans, Group Life Insurance Plans, workers' compensation / disability payments, death benefits, maternity/paternity/adoption leave payments, severance pay, clothing allowance, transportation allowance, miscellaneous allowances (employer's contribution to other plans such as Visioncare).
Paid from Police Force Budget
Include the total amount of benefits paid from the police force budget.
Paid from Other Government Source
Include the total amount of benefits paid from another government source.

Other Operating Expenditures
All non-capital costs, excluding salaries, wages and benefits are included here.
Items such as: materials, supplies, furniture, utilities, minor equipment purchases, vehicle purchases, vehicle leasing, vehicle maintenance, gas, oil, leasing, building and equipment rentals, transportation and communications, professional services, contracts.

Total Operating Expenditures
The sum of the salaries and wages, all benefits, and other operating expenditures.

Identify which budget the following items are included in by checking accordingly (for each of the following categories: Police Force Operational budget, Police Force Capital Budget, Other Government Source). It may be possible that some of the items listed below are paid for from more than one budget. You may check off more than one.

Item

Vehicle Purchases
The purchase of motorized vehicles.

Vehicle Leasing
The leasing of motorized vehicles.

Computer Services
Computer and software purchases, services performed by private companies to maintain the computer systems, trouble-shooting, other maintenance costs associated with computers.

Accommodations
Building rentals, property tax, mortgage.

Emergency “911” Telephone Services
Includes salary and other costs for staff responsible for answering the emergency “911” telephone service (initial in-coming calls) and dispatching these calls to police, fire or ambulance services.

Name and Signature of Contact
This should be someone who can answer inquiries concerning the information on the form.

Telephone Number
Please provide the telephone number of the contact person for any follow-ups.

Date
The date the form was completed.

Please telephone the Policing Services Program, Canadian Centre for Justice Statistics at 613‑951‑9023 or 1‑800‑387‑2231 for further information

All CCJS products including the UCR database dating back to 1977, are available free to all police forces through a secure web site.

For further information or to receive access to the site please contact: Information and Client Services, CCJS in Ottawa at 613‑951‑9023, 1‑800‑387‑2231, or ccjsccsj@statcan.gc.ca

Concepts, definitions and data quality

The Monthly Survey of Manufacturing (MSM) publishes statistical series for manufacturers – sales of goods manufactured, inventories, unfilled orders and new orders. The values of these characteristics represent current monthly estimates of the more complete Annual Survey of Manufactures and Logging (ASML) data.

The MSM is a sample survey of approximately 10,500 Canadian manufacturing establishments, which are categorized into over 220 industries. Industries are classified according to the 2007 North American Industrial Classification System (NAICS). Seasonally adjusted series are available for the main aggregates.

An establishment comprises the smallest manufacturing unit capable of reporting the variables of interest. Data collected by the MSM provides a current ‘snapshot’ of sales of goods manufactured values by the Canadian manufacturing sector, enabling analysis of the state of the Canadian economy, as well as the health of specific industries in the short- to medium-term. The information is used by both private and public sectors including Statistics Canada, federal and provincial governments, business and trade entities, international and domestic non-governmental organizations, consultants, the business press and private citizens. The data are used for analyzing market share, trends, corporate benchmarking, policy analysis, program development, tax policy and trade policy.

1. Sales of goods manufactured

Sales of goods manufactured (formerly shipments of goods manufactured) are defined as the value of goods manufactured by establishments that have been shipped to a customer. Sales of goods manufactured exclude any wholesaling activity, and any revenues from the rental of equipment or the sale of electricity. Note that in practice, some respondents report financial trans­ac­tions rather than payments for work done. Sales of goods manufactured are available by 3-digit NAICS, for Canada and broken down by province.

For the aerospace product and parts, and shipbuilding industries, the value of production is used instead of sales of goods manufactured. This value is calculated by adjusting monthly sales of goods manufactured by the monthly change in inventories of goods / work in process and finished goods manufactured. Inventories of raw materials and components are not included in the calculation since production tries to measure "work done" during the month. This is done in order to reduce distortions caused by the sales of goods manufactured of high value items as completed sales.

2. Inventories

Measurement of component values of inventory is important for economic studies as well as for derivation of production values. Respondents are asked to report their book values (at cost) of raw materials and components, any goods / work in process, and fin­ished goods manufactured inventories separately. In some cases, respondents estimate a total inventory figure, which is allocated on the basis of proportions reported on the ASML. Inventory levels are calculated on a Canada‑wide basis, not by province.

3. Orders

a) Unfilled Orders

Unfilled orders represent a backlog or stock of orders that will generate future sales of goods manufactured assuming that they are not cancelled. As with inventories, unfilled orders and new orders levels are calculated on a Canada‑wide basis, not by province.

The MSM produces estimates for unfilled orders for all industries except for those industries where orders are customarily filled from stocks on hand and order books are not gen­erally maintained. In the case of the aircraft companies, options to purchase are not treated as orders until they are entered into the account­ing system.

b) New Orders

New orders represent current demand for manufactured products. Estimates of new orders are derived from sales of goods manufactured and unfilled orders data. All sales of goods manufactured within a month result from either an order received during the month or at some earlier time. New orders can be calculated as the sum of sales of goods manufactured adjusted for the monthly change in unfilled orders.

4. Non-Durable / Durable goods

a) Non-durable goods industries include:

Food (NAICS 311),
Beverage and Tobacco Products (312),
Textile Mills (313),
Textile Product Mills (314),
Clothing (315),
Leather and Allied Products (316),
Paper (322),
Printing and Related Support Activities (323),
Petroleum and Coal Products (324),
Chemicals (325) and
Plastic and Rubber Products (326).

b) Durable goods industries include:

Wood Products (NAICS 321),
Non-Metallic Mineral Products (327),
Primary Metals (331),
Fabricated Metal Products (332),
Machinery (333),
Computer and Electronic Products (334),
Electrical Equipment, Appliance and Components (335),
Transportation Equipment (336),
Furniture and Related Products (337) and
Miscellaneous Manufacturing (339). 

Survey design and methodology

Beginning with the August 1999 reference month, the Monthly Survey of Manufacturing (MSM) underwent an extensive redesign.

Concept Review

In 1998, it was decided that before any redesign work could begin the basic concepts and definitions of the program would be confirmed.

This was done in two ways: First, a review of user requirements was initiated. This involved revisiting an internal report to ensure that the user requirements from that exercise were being satisfied. As well, another round of internal review with the major users in the National Accounts was undertaken. This was to specifically focus on any data gaps that could be identified.

Secondly, with these gaps or requirements in hand, a survey was conducted in order to ascertain respondent’s ability to report existing and new data. The study was also to confirm that respondents understood the definitions, which were being asked by survey analysts.

The result of the concept review was a reduction of the number of questions for the survey from sixteen to seven. Most of the questions that were dropped had to do with the reporting of sales of goods manufactured for work that was partially completed.

In 2007, the MSM terminology was updated to be Charter of Accounts (COA) compliant. With the August 2007 reference month release the MSM has harmonized its concepts to the ASML. The variable formerly called “Shipments” is now called “Sales of goods manufactured”. As well, minor modifications were made to the inventory component names. The definitions have not been modified nor has the information collected from the survey.

Methodology

The latest sample design incorporates the 2007 North American Industrial Classification Standard (NAICS). Stratification is done by province with equal quality requirements for each province. Large size units are selected with certainty and small units are selected with a probability based on the desired quality of the estimate within a cell.

The estimation system generates estimates using the NAICS. The estimates will also continue to be reconciled to the ASML. Provincial estimates for all variables will be produced. A measure of quality (CV) will also be produced.

Components of the Survey Design

Target Population and Sampling Frame

Statistics Canada’s business register provides the sampling frame for the MSM. The target population for the MSM consists of all statistical establishments on the business register that are classified to the manufacturing sector (by NAICS). The sampling frame for the MSM is determined from the target population after subtracting establishments that represent the bottom 5% of the total manufacturing sales of goods manufactured estimate for each province. These establishments were excluded from the frame so that the sample size could be reduced without significantly affecting quality.

The Sample

The MSM sample is a probability sample comprised of approximately 10,500 establishments. A new sample was chosen in the autumn of 2006, followed by a six-month parallel run (from reference month September 2006 to reference month February 2007). The refreshed sample officially became the new sample of the MSM effective in January 2007.

This marks the first process of refreshing the MSM sample since 2002. The objective of the process is to keep the sample frame as fresh and up-to date as possible. All establishments in the sample are refreshed to take into account changes in their value of sales of goods manufactured, the removal of dead units from the sample and some small units are rotated out of the GST-based portion of the sample, while others are rotated into the sample.

Prior to selection, the sampling frame is subdivided into industry-province cells. For the most part, NAICS codes were used. Depending upon the number of establishments within each cell, further subdivisions were made to group similar sized establishments’ together (called stratum). An establishment’s size was based on its most recently available annual sales of goods manufactured or sales value. 

Each industry by province cell has a ‘take-all’ stratum composed of establishments sampled each month with certainty. This ‘take-all’ stratum is composed of establishments that are the largest statistical enterprises, and have the largest impact on estimates within a particular industry by province cell. These large statistical enterprises comprise 45% of the national manufacturing sales of goods manufactured estimates.

Each industry by province cell can have at most three ‘take-some’ strata. Not all establishments within these stratums need to be sampled with certainty. A random sample is drawn from the remaining strata. The responses from these sampled establishments are weighted according to the inverse of their probability of selection. In cells with take-some portion, a minimum sample of 10 was imposed to increase stability.

The take-none portion of the sample is now estimated from administrative data and as a result, 100% of the sample universe is covered. Estimation of the take-none portion also improved efficiency as a larger take-none portion was delineated and the sample could be used more efficiently on the smaller sampled portion of the frame.

Data Collection

Only a subset of the sample establishments is sent out for data collection. For the remaining units, information from administrative data files is used as a source for deriving sales of goods manufactured data. For those establishments that are surveyed, data collection, data capture, preliminary edit and follow-up of non-respondents are all performed in Statistics Canada regional offices. Sampled establishments are contacted by mail or telephone according to the preference of the respondent. Data capture and preliminary editing are performed simultaneously to ensure the validity of the data.

In some cases, combined reports are received from enterprises or companies with more than one establishment in the sample where respondents prefer not to provide individual establishment reports. Businesses, which do not report or whose reports contain errors, are followed up immediately.

Use of Administrative Data

Managing response burden is an ongoing challenge for Statistics Canada. In an attempt to alleviate response burden, especially for small businesses, Statistics Canada has been investigating various alternatives to survey taking. Administrative data files are a rich source of information for business data and Statistics Canada is working at mining this rich data source to its full potential. As such, effective the August 2004 reference month, the MSM reduced the number of simple establishments in the sample that are surveyed directly and instead, derives sales of goods manufactured data for these establishments from Goods and Services Tax (GST) files using a statistical model. The model accounts for the difference between sales of goods manufactured (reported to MSM) and sales (reported for GST purposes) as well as the time lag between the reference period of the survey and the reference period of the GST file.

In conjunction with the most recent sample, effective January 2007, approximately 2,500 simple establishments were selected to represent the GST portion of the sample.

Inventories and unfilled orders estimates for establishments where sales of goods manufactured are GST-based are derived using the MSM’s imputation system. The imputation system applies to the previous month values, the month-to-month and year-to-year changes in similar firms which are surveyed. With the most recent sample, the eligibility rules for GST-based establishments were refined to have more GST-based establishments in industries that typically carry fewer inventories. This way the impact of the GST-based establishments which require the estimation of inventories, will be kept to a minimum.

Detailed information on the methodology used for modelling sales of goods manufactured from administrative data sources can be found in the ‘Monthly Survey of Manufacturing: Use of Administrative Data’ (Catalogue no. 31-533-XIE) document.

Data quality

Statistical Edit and Imputation

Data are analyzed within each industry-province cell. Extreme values are listed for inspection by the magnitude of the deviation from average behavior. Respondents are contacted to verify extreme values. Records that fail statistical edits are considered outliers and are not used for imputation.

Values are imputed for the non-responses, for establishments that do not report or only partially complete the survey form. A number of imputation methods are used depending on the variable requiring treatment. Methods include using industry-province cell trends, historical responses, or reference to the ASML. Following imputation, the MSM staff performs a final verification of the responses that have been imputed.

Revisions

In conjunction with preliminary estimates for the current month, estimates for the previous three months are revised to account for any late returns. Data are revised when late responses are received or if an incorrect response was recorded earlier.

Estimation

Estimates are produced based on returns from a sample of manufacturing establishments in combination with administrative data for a portion of the smallest establishments. The survey sample includes 100% coverage of the large manufacturing establishments in each industry by province, plus partial coverage of the medium and small-sized firms. Combined reports from multi-unit companies are pro-rated among their establishments and adjustments for progress billings reflect revenues received for work done on large item contracts. Approximately 2,500 of the sampled medium and small-sized establishments are not sent questionnaires, but instead their sales of goods manufactured are derived by using revenue from the GST files. The portion not represented through sampling – the take-none portion - consist of establishments below specified thresholds in each province and industry. Sub-totals for this portion are also derived based on their revenues.

Industry values of sales of goods manufactured, inventories and unfilled orders are estimated by first weighting the survey responses, the values derived from the GST files and the imputations by the number of establishments each represents. The weighted estimates are then summed with the take-none portion. While sales of goods manufactured estimates are produced by province, no geographical detail is compiled for inventories and orders since many firms cannot report book values of these items monthly.

Benchmarking

Up to and including 2003, the MSM was benchmarked to the Annual Survey of Manufactures and Logging (ASML). Benchmarking was the regular review of the MSM estimates in the context of the annual data provided by the ASML. Benchmarking re-aligned the annualized level of the MSM based on the latest verified annual data provided by the ASML.

Significant research by Statistics Canada in 2006 to 2007 was completed on whether the benchmark process should be maintained. The conclusion was that benchmarking of the MSM estimates to the ASML should be discontinued. With the refreshing of the MSM sample in 2007, it was determined that benchmarking would no longer be required (retroactive to 2004) because the MSM now accurately represented 100% of the sample universe. Data confrontation will continue between MSM and ASML to resolve potential discrepancies. 

As of the January 2007 reference month, a new sample was introduced. It is standard practice that every few years the sample is refreshed to ensure that the survey frame is up to date with births, deaths and other changes in the population. The refreshed sample is linked at the detailed level to prevent data breaks and to ensure the continuity of time series. It is designed to be more representative of the manufacturing industry at both the national and provincial levels.

Data confrontation and reconciliation

Each year, during the period when the Annual Survey of Manufactures and Logging section set their annual estimates, the MSM section works with the ASML section to confront and reconcile significant differences in values between the fiscal ASML and the annual MSM at the strata and industry level.

The purpose of this exercise of data reconciliation is to highlight and resolve significant differences between the two surveys and to assist in minimizing the differences in the micro-data between the MSM and the ASML.

Sampling and Non-sampling Errors

The statistics in this publication are estimates derived from a sample survey and, as such, can be subject to errors. The following material is provided to assist the reader in the interpretation of the estimates published.

Estimates derived from a sample survey are subject to a number of different kinds of errors. These errors can be broken down into two major types: sampling and non-sampling.

1. Sampling Errors

Sampling errors are an inherent risk of sample surveys. They result from the difference between the value of a variable if it is randomly sampled and its value if a census is taken (or the average of all possible random values). These errors are present because observations are made only on a sample and not on the entire population.

The sampling error depends on factors such as the size of the sample, variability in the population, sampling design and method of estimation. For example, for a given sample size, the sampling error will depend on the stratification procedure employed, allocation of the sample, choice of the sampling units and method of selection. (Further, even for the same sampling design, we can make different calculations to arrive at the most efficient estimation procedure.) The most important feature of probability sampling is that the sampling error can be measured from the sample itself.

2. Non-sampling Errors

Non-sampling errors result from a systematic flaw in the structure of the data-collection procedure or design of any or all variables examined. They create a difference between the value of a variable obtained by sampling or census methods and the variable’s true value. These errors are present whether a sample or a complete census of the population is taken. Non-sampling errors can be attributed to one or more of the following sources:

a) Coverage error: This error can result from incomplete listing and inadequate coverage of the population of interest.

b) Data response error: This error may be due to questionnaire design, the characteristics of a question, inability or unwillingness of the respondent to provide correct information, misinterpretation of the questions or definitional problems.

c) Non-response error: Some respondents may refuse to answer questions, some may be unable to respond, and others may be too late in responding. Data for the non-responding units can be imputed using the data from responding units or some earlier data on the non-responding units if available.

The extent of error due to imputation is usually unknown and is very much dependent on any characteristic differences between the respondent group and the non-respondent group in the survey. This error generally decreases with increases in the response rate and attempts are therefore made to obtain as high a response rate as possible.

d) Processing error: These errors may occur at various stages of processing such as coding, data entry, verification, editing, weighting, and tabulation, etc. Non-sampling errors are difficult to measure. More important, non-sampling errors require control at the level at which their presence does not impair the use and interpretation of the results.

Measures have been undertaken to minimize the non-sampling errors. For example, units have been defined in a most precise manner and the most up-to-date listings have been used. Questionnaires have been carefully designed to minimize different interpretations. As well, detailed acceptance testing has been carried out for the different stages of editing and processing and every possible effort has been made to reduce the non-response rate as well as the response burden.

Measures of Sampling and Non-sampling Errors

1. Sampling Error Measures

The sample used in this survey is one of a large number of all possible samples of the same size that could have been selected using the same sample design under the same general conditions. If it was possible that each one of these samples could be surveyed under essentially the same conditions, with an estimate calculated from each sample, it would be expected that the sample estimates would differ from each other.

The average estimate derived from all these possible sample estimates is termed the expected value. The expected value can also be expressed as the value that would be obtained if a census enumeration were taken under identical conditions of collection and processing. An estimate calculated from a sample survey is said to be precise if it is near the expected value.

Sample estimates may differ from this expected value of the estimates. However, since the estimate is based on a probability sample, the variability of the sample estimate with respect to its expected value can be measured. The variance of an estimate is a measure of the precision of the sample estimate and is defined as the average, over all possible samples, of the squared difference of the estimate from its expected value.

The standard error is a measure of precision in absolute terms. The coefficient of variation (CV), defined as the standard error divided by the sample estimate, is a measure of precision in relative terms. For comparison purposes, one may more readily compare the sampling error of one estimate to the sampling error of another estimate by using the coefficient of variation.

In this publication, the coefficient of variation is used to measure the sampling error of the estimates. However, since the coefficient of variation published for this survey is calculated from the responses of individual units, it also measures some non-sampling error.

The formula used to calculate the published coefficients of variation (CV) in Table 1 is:

CV(X) = S(X)/X

where X denotes the estimate and S(X) denotes the standard error of X.

In this publication, the coefficient of variation is expressed as a percentage.

Confidence intervals can be constructed around the estimate using the estimate and the coefficient of variation. Thus, for our sample, it is possible to state with a given level of confidence that the expected value will fall within the confidence interval constructed around the estimate. For example, if an estimate of $12,000,000 has a coefficient of variation of 10%, the standard error will be $1,200,000 or the estimate multiplied by the coefficient of variation. It can then be stated with 68% confidence that the expected value will fall within the interval whose length equals the standard deviation about the estimate, i.e., between $10,800,000 and $13,200,000. Alternatively, it can be stated with 95% confidence that the expected value will fall within the interval whose length equals two standard deviations about the estimate, i.e., between $9,600,000 and $14,400,000.

Text table 1 contains the national level CVs, expressed as a percentage, for all manufacturing for the MSM characteristics. For CVs at other aggregate levels, contact the Dissemination and Frame Services Section at (613) 951-9497, toll free: 1-866-873-8789 or by e-mail at manufact@statcan.gc.ca.

Text table 1
National Level CVs by Characteristic
Month Sales of goods manufactured % Raw materials and components inventories % Goods / work in process inventories % Finished goods manufactured inventories % Unfilled Orders %
Oct-10 0.79 1.18 1.60 1.45 1.72
Nov-10 0.84 1.16 1.62 1.44 1.72
Dec-10 0.75 1.19 1.62 1.42 1.70
Jan-11 0.80 1.20 1.68 1.35 1.68
Feb-11 0.74 1.22 1.72 1.38 1.93
Mar-11 0.74 1.21 1.66 1.33 2.77
Apr-11 0.76 1.20 1.73 1.33 2.70
May-11 0.77 1.20 1.71 1.40 2.67
Jun-11 0.77 1.16 1.76 1.41 2.73
Jul-11 0.74 1.19 1.80 1.41 2.64
Aug-11 0.77 1.27 1.87 1.38 2.62
Sep-11 0.79 1.31 1.88 1.38 2.61
Oct-11 0.81 1.32 1.94 1.35 2.66

2. Non-sampling Error Measures

The exact population value is aimed at or desired by both a sample survey as well as a census. We say the estimate is accurate if it is near this value. Although this value is desired, we cannot assume that the exact value of every unit in the population or sample can be obtained and processed without error. Any difference between the expected value and the exact population value is termed the bias. Systematic biases in the data cannot be measured by the probability measures of sampling error as previously described. The accuracy of a survey estimate is determined by the joint effect of sampling and non-sampling errors.

Three sources of non-sampling error in the MSM are non-response error, imputation error and the error due to editing. To assist users in evaluating these errors, weighted rates that are related to these three types of error are given in Text table 2. The following is an example of what is meant by a weighted rate. A cell with a sample of 20 units in which five respond for a particular month would have a response rate of 25%. If these five reporting units represented $8 million out of a total estimate of $10 million, the weighted response rate would be 80%.

The definitions of the three weighted rates noted in Text table 2 follow. The weighted response rate is the proportion of a characteristic’s total estimate that is based upon reported data (excluding data that has been edited). The weighted imputation rate is the proportion of a characteristic’s total estimate that is based upon imputed data. The weighted editing rate is the proportion of a characteristic’s total estimate that is based upon data that was edited (edited data may have been originally reported or imputed).

Text table 2 contains the three types of weighted rates for each of the characteristics at the national level for all of manufacturing. In the table, the rates are expressed as percentages.

Text Table 2
National Weighted Rates by Source and Characteristic
Characteristics Survey Source Administrative Data Source
Response Imputation Editing Modeled Imputation Editing
% % % % % %
Sales of goods manufactured 82.32 3.99 6.78 6.28 0.40 0.23
Raw materials and components 75.10 11.62 4.23 0.00 8.90 0.15
Goods / work in process 62.11 12.01 18.53 0.00 6.75 0.60
Finished goods manufactured 76.95 8.83 4.31 0.00 8.98 0.94
Unfilled Orders 48.10 4.53 42.82 0.00 3.51 1.04

Joint Interpretation of Measures of Error

The measure of non-response error as well as the coefficient of variation must be considered jointly to have an overview of the quality of the estimates. The lower the coefficient of variation and the higher the weighted response rate, the better will be the published estimate.

Seasonal Adjustment

Economic time series contain the elements essential to the description, explanation and forecasting of the behavior of an economic phenomenon. They are statistical records of the evolution of economic processes through time. In using time series to observe economic activity, economists and statisticians have identified four characteristic behavioral components: the long-term movement or trend, the cycle, the seasonal variations and the irregular fluctuations. These movements are caused by various economic, climatic or institutional factors. The seasonal variations occur periodically on a more or less regular basis over the course of a year. These variations occur as a result of seasonal changes in weather, statutory holidays and other events that occur at fairly regular intervals and thus have a significant impact on the rate of economic activity.

In the interest of accurately interpreting the fundamental evolution of an economic phenomenon and producing forecasts of superior quality, Statistics Canada uses the X12-ARIMA seasonal adjustment method to seasonally adjust its time series. This method minimizes the impact of seasonal variations on the series and essentially consists of adding one year of estimated raw data to the end of the original series before it is seasonally adjusted per se. The estimated data are derived from forecasts using ARIMA (Auto Regressive Integrated Moving Average) models of the Box-Jenkins type.

The X-12 program uses primarily a ratio-to-moving average method. It is used to smooth the modified series and obtain a preliminary estimate of the trend-cycle. It also calculates the ratios of the original series (fitted) to the estimates of the trend-cycle and estimates the seasonal factors from these ratios. The final seasonal factors are produced only after these operations have been repeated several times.

The technique that is used essentially consists of first correcting the initial series for all sorts of undesirable effects, such as the trading-day and the Easter holiday effects, by a module called regARIMA. These effects are then estimated using regression models with ARIMA errors. The series can also be extrapolated for at least one year by using the model. Subsequently, the raw series, pre-adjusted and extrapolated if applicable, is seasonally adjusted by the X-12 method.

The procedures to determine the seasonal factors necessary to calculate the final seasonally adjusted data are executed every month. This approach ensures that the estimated seasonal factors are derived from an unadjusted series that includes all the available information about the series, i.e. the current month's unadjusted data as well as the previous month's revised unadjusted data.

While seasonal adjustment permits a better understanding of the underlying trend-cycle of a series, the seasonally adjusted series still contains an irregular component. Slight month-to-month variations in the seasonally adjusted series may be simple irregular movements. To get a better idea of the underlying trend, users should examine several months of the seasonally adjusted series.

The aggregated Canada level series are now seasonally adjusted directly, meaning that the seasonally adjusted totals are obtained via X-12-ARIMA. Afterwards, these totals are used to reconcile the provincial total series which have been seasonally adjusted individually.

For other aggregated series, indirect seasonal adjustments are used. In other words, their seasonally adjusted totals are derived indirectly by the summation of the individually seasonally adjusted kinds of business.

Trend

A seasonally adjusted series may contain the effects of irregular influences and special circumstances and these can mask the trend. The short term trend shows the underlying direction in seasonally adjusted series by averaging across months, thus smoothing out the effects of irregular influences. The result is a more stable series. The trend for the last month may be, subject to significant revision as values in future months are included in the averaging process.

Real manufacturing sales of goods manufactured, inventories, and orders

Changes in the values of the data reported by the Monthly Survey of Manufacturing (MSM) may be attributable to changes in their prices or to the quantities measured, or both. To study the activity of the manufacturing sector, it is often desirable to separate out the variations due to price changes from those of the quantities produced. This adjustment is known as deflation.

Deflation consists in dividing the values at current prices obtained from the survey by suitable price indexes in order to obtain estimates evaluated at the prices of a previous period, currently the year 2002. The resulting deflated values are said to be “at 2002 prices”. Note that the expression “at current prices” refer to the time the activity took place, not to the present time, nor to the time of compilation.

The deflated MSM estimates reflect the prices that prevailed in 2002. This is called the base year. The year 2002 was chosen as base year since it corresponds to that of the price indexes used in the deflation of the MSM estimates. Using the prices of a base year to measure current activity provides a representative measurement of the current volume of activity with respect to that base year. Current movements in the volume are appropriately reflected in the constant price measures only if the current relative importance of the industries is not very different from that in the base year.

The deflation of the MSM estimates is performed at a very fine industry detail, equivalent to the 6-digit industry classes of the North American Industry Classification System (NAICS). For each industry at this level of detail, the price indexes used are composite indexes which describe the price movements for the various groups of goods produced by that industry.

With very few exceptions the price indexes are weighted averages of the Industrial Product Price Indexes (IPPI). The weights are derived from the annual Canadian Input-Output tables and change from year to year. Since the Input-Output tables only become available with a delay of about two and a half years, the weights used for the most current years are based on the last available Input-Output tables.

The same price index is used to deflate sales of goods manufactured, new orders and unfilled orders of an industry. The weights used in the compilation of this price index are derived from the output tables, evaluated at producer’s prices. Producer prices reflect the prices of the goods at the gate of the manufacturing establishment and exclude such items as transportation charges, taxes on products, etc. The resulting price index for each industry thus reflects the output of the establishments in that industry.

The price indexes used for deflating the goods / work in process and the finished goods manufactured inventories of an industry are moving averages of the price index used for sales of goods manufactured. For goods / work in process inventories, the number of terms in the moving average corresponds to the duration of the production process. The duration is calculated as the average over the previous 48 months of the ratio of end of month goods / work in process inventories to the output of the industry, which is equal to sales of goods manufactured plus the changes in both goods / work in process and finished goods manufactured inventories.

For finished goods manufactured inventories, the number of terms in the moving average reflects the length of time a finished product remains in stock. This number, known as the inventory turnover period, is calculated as the average over the previous 48 months of the ratio of end-of-month finished goods manufactured inventory to sales of goods manufactured.

To deflate raw materials and components inventories, price indexes for raw materials consumption are obtained as weighted averages of the IPPIs. The weights used are derived from the input tables evaluated at purchaser’s prices, i.e. these prices include such elements as wholesaling margins, transportation charges, and taxes on products, etc. The resulting price index thus reflects the cost structure in raw materials and components for each industry.

The raw materials and components inventories are then deflated using a moving average of the price index for raw materials consumption. The number of terms in the moving average corresponds to the rate of consumption of raw materials. This rate is calculated as the average over the previous four years of the ratio of end-of-year raw materials and components inventories to the intermediate inputs of the industry.

Introduction

Purpose of the 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.

Instructions

(1)This questionnaire should be completed and returned to Statistics Canada, 150 Tunney’s Pasture Driveway, OID – SSI: JT-02 B17, Ottawa, Ontario, K1A 0T6. Please complete and return within 30 days after receipt of this questionnaire.  If you require assistance in the completion of the questionnaire or have any questions regarding this survey, please contact us: Telephone: 1-811-604-7828, Fax: 1-800-755-5514.

Due-dates for each quarter:

  1. April 23, 2012
  2. July 23, 2012
  3. October 21, 2012
  4. January 23, 2013

Statistics Canada, 150 Tunney’s Pasture Driveway, Ottawa, Ontario, K1A 0T6

Fax or Other Electronic D isclosure

Statistics Canada advises you that there could be a risk of disclosure during the facsimile or other electronic transmission. However, upon receipt of your information, Statistics Canada will provide the guaranteed level of protection afforded to all information collected under the authority of the Statistics Act.

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. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation. Therefore, for example, the Canada Revenue Agency cannot access identifiable survey records from Statistics Canada.

Information from this survey will be used for statistical purposes only and will be published in aggregate form only.

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 must 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 Alberta Ministry of Energy, the British Columbia Ministry of Energy and Mines, 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, Statistics Canada may combine it with information from other surveys or from administrative sources.

Disposition of Electricity

Deliveries to Ultimate Consumers

(Billed + or - adjustments)

Total cost to customers: electricity commodity, distribution, transmission, and any other regulated charges. Exclude any sale taxes. G.S.T or P.S.T. / H.S.T.

Residential Sales of Electricity

Include all sales destined to be used in a single or bulk residential meter service.

  • Cost ( $'000 )
  • MW.h

Confidential when completed

Collected under the authority of the Statistics Act, Revised Statutes of Canada 1985, Chapter S19.

Completion of this questionnaire is a legal requirement under this Act.

Month

Purpose of the Survey

The purpose of this survey is to produce an indicator on the supply of electricity 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 government agencies to fulfill their regulatory responsibilities. The private sector also uses this information in the corporate decision-making process.

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. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation. Therefore, for example, the Canada Revenue Agency cannot access identifiable survey records from Statistics Canada.

Information from this survey will be used for statistical purposes only and will be published in aggregate form only.

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 must 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 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 Alberta Ministry of Energy, the British Columbia Ministry of Energy and Mines, 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, Statistics Canada may combine it with information from other surveys or from administrative sources.

Instructions

This schedule is to be completed and returned to Statistics Canada, Operations and Integration Division, Jean Talon Building, Ottawa, Ontario, K1A 0T6 by the 20th of the following month. If you require assistance in the completion of the questionnaire, contact us 1-800-255-7726, or by fax at 1-888-883-7999 or by email: energysurv@statcan.gc.ca.

Fax or Other Electronic Transmission Disclosure

Statistics Canada advises you that there could be a risk of disclosure during the facsimile or other electronic transmission. However, upon receipt of your information, Statistics Canada will provide the guaranteed level of protection afforded to all information collected under the authority of the Statistics Act.

1. Electricity generated ( MW.h )

Note: These generation figures should aggregate to Schedule #4 annual figures.

  • Hydro
  • Steam
  • Nuclear
  • Internal combustion
  • Combustion turbine
  • Tidal
  • Wind
  • Solar
  • Other (specify)
  • Total generation

2. Gross receipts of electricity from other provinces ( MW.h )

Name of System:

(a) Firm
Total

3. Gross deliveries of electricity to other provinces ( MW.h )

Name of System:

(a) Firm

Name of System:

(b) Interruptible
Total

Statistics Canada use

(Total generation + Total receipts - Total deliveries)

Comments

Please provide a brief explanation of any significant changes from previous months.

Certification

I certify that the information contained herein is substantially complete and correct to the best of my knowledge and belief.
Signature
Date (format: dd-mm-yyyy)

Name of signer (please print)
Official position of signer
E-mail address
Telephone, extension
Fax

Confidential when completed

Collected under the authority of the Statistics Act, Revised Statutes of Canada 1985, Chapter S19.

Completion of this questionnaire is a legal requirement under this Act.

Month

Purpose of the Survey

The purpose of this survey is to produce an indicator on the supply of electricity 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 government agencies to fulfill their regulatory responsibilities. The private sector also uses this information in the corporate decision-making process.

Confidentiality

Your answers are confidential.

Statistics Canada is prohibited by law from releasing any information it collects which could identify a person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act.  The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation. Therefore, for example, the Canada Revenue Agency cannot access identifiable survey data from Statistics Canada.

Information from this survey will be used for statistical purposes only and will be published in aggregate form only.

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 must 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 Alberta Ministry of Energy, the British Columbia Ministry of Energy, Mines and Petroleum Resources, 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, Statistics Canada may combine it with information from other surveys or from administrative sources.

Instructions

This schedule is to be completed and returned to Statistics Canada, Operations and Integration Division, Jean Talon Building, Ottawa, Ontario, K1A 0T6 by the 20th of the following month. If you require assistance in the completion of the questionnaire, contact the Energy Section by telephoning 1-800-255-7726, or by fax at 1-888-883-7999 or by e-mail: energysurv@statcan.gc.ca.

Fax or Other Electronic Transmission Disclosure

Statistics Canada advises you that there could be a risk of disclosure during the facsimile or other electronic transmission. However, upon receipt of your information, Statistics Canada will provide the guaranteed level of protection afforded all information collected under the authority of the Statistics Act.

1. Electricity generated ( MW.h )

Note: These generation figures should aggregate to Schedule #4 annual figures.

  • Hydro
  • Steam
  • Nuclear
  • Internal combustion
  • Combustion turbine
  • Tidal
  • Wind
  • Solar
  • Other (specify)
  • Total generation

2. Gross receipts of electricity from other provinces ( MW.h )

Name of System:

(a) Firm
Total

3. Gross deliveries of electricity to other provinces ( MW.h )

Name of System
(a) Firm

Name of System
(b) Interruptible
Total

Statistics Canada use

(Total generation + Total receipts - Total deliveries)

Comments

Please provide a brief explanation of any significant changes from previous months.

Certification

I certify that the information contained herein is substantially complete and correct to the best of my knowledge and belief.
Signature
Date (format: dd-mm-yyyy)

Name of signer (please print)
Official position of signer
E-mail address
Telephone, extension
Fax

Canadian Centre for Justice Statistics

Information for Respondents

Authority
This survey is conducted under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19. Completion of this questionnaire is a legal requirement under the Statistics Act.

Objective
This survey was designed to produce national statistics on public policing personnel and operating expenditures for Canada. The information collected is widely used by federal and provincial policy makers as well as municipal police service and municipal government personnel. The data are also widely disseminated by the media for the purposes of general public information.

Confidentiality
Statistics Canada is prohibited by law from publishing any statistics which would divulge information obtained from this survey that relates to any identifiable respondent/ individual without the previous written consent of that respondent/ individual. The information reported on this questionnaire will be treated in confidence, used for statistical purposes and published in aggregate form only. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation.

Instruction
Please complete pages 2 and 3, and add any explanations on page 4.

Table 1
Actual Personnel as of May 15, by Category and Sex (rounded to the nearest full-time equivalent) (For each of the following categories: Male, Female, Total)

Number

  • Police Officers
    • 1. Senior Officers
    • 2. Non-Commissioned Officers
    • 3. Constables
  • Total
    • 4. Police Officers (sum of lines 1 to 3)
  • Special Constables and Civilian Personnel
    • 5. Native Special Constables
    • 6. Security Officers / Guards (exclude casuals, or those who are called in as needed)
    • 7. By-Law Enforcement / Parking Control Officers
    • 8. Cadets / Trainees
    • 9. Communications / Dispatch
    • 10. Management / Professionals
    • 11. Clerical Support
    • 12. School Crossing Guards (see formula for line 12 in the scoring rules)
    • 13. Other (please specify)
  • Total
    • 14. Special Constables and Civilian Personnel (sum of lines 5 to 13)
  • Total
    • 15. Personnel (sum of lines 4 and 14)

Table 2
Authorized Strength as of May 15

Number

  • Authorized Police Officer Strength
  • Other Personnel as of May 15
    • Auxiliary / Reserve Police
    • Casual / Temporary Police Officers
    • Casual / Temporary Civilians

Table 3
This table has been discontinued.

Table 4
Year End Operating Expenditures (For each of the following categories: Calendar Year 2010 OR Fiscal Year 2010/2011)

Actual Amount (Nearest dollar)

  • Salaries and Wages
  • Benefits
    • Paid from Police Force Budget
    • Paid from Other Government Source
  • Other Operating Expenditures
  • Total
    • Operating Expenditures (exclude capital expenditures)

Identify which budget the following items are included in by marking an “X” in the appropriate column(s). (See scoring rules.) (For each of the following categories: Police Force Operational Budget, Police Force Capital Budget, Other Government Source)

Item

  • Vehicle Purchases
  • Vehicle Leasing
  • Computer Services
  • Accommodations
  • Emergency “911” Services

Authorization to release
Authorization: This authorizes the Chief Statistician of Canada to disseminate information reported on this questionnaire to the public.

  • Name and Signature of Contact
  • Telephone Number
  • Date
    • Year
    • Month
    • Day

Comments and/or Explanations

8-1000-4: 2011-02-16
STC/CCJ-140-60000
Statistics Canada

Canadian Centre for Justice Statistics

Information for Respondents

Authority
This survey is conducted under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19. Completion of this questionnaire is a legal requirement under the Statistics Act.

Objective
This survey was designed to produce national statistics on public policing personnel and operating expenditures for Canada. The information collected is widely used by federal and provincial policy makers as well as municipal police service and municipal government personnel. The data are also widely disseminated by the media for the purposes of general public information.

Confidentiality
Statistics Canada is prohibited by law from publishing any statistics which would divulge information obtained from this survey that relates to any identifiable respondent/ individual without the previous written consent of that respondent/ individual. The information reported on this questionnaire will be treated in confidence, used for statistical purposes and published in aggregate form only. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation.

Instruction
Please complete pages 2 & 3, and add any explanations on page 4.

Table 1
Actual Personnel as of May 15, by Category and Sex (rounded to the nearest full-time equivalent) (For each of the following categories: Male, Female, Total)

Number

  • Police Officers
    • 1. Senior Officers
    • 2. Non-Commissioned Officers
    • 3. Constables
  • Total
    • 4. Police Officers (sum of lines 1 to 3)
  • Special Constables and Civilian Personnel
    • 5. Native Special Constables
    • 6. Security Officers / Guards (exclude casuals, or those who are called in as needed)
    • 7. By-Law Enforcement / Parking Control Officers
    • 8. Cadets / Trainees
    • 9. Communications / Dispatch
    • 10. Management / Professionals
    • 11. Clerical Support
    • 12. School Crossing Guards (see formula for line 12 in the scoring rules)
    • 13. Other (please specify)
  • Total
    • 14. Special Constables and Civilian Personnel (sum of lines 5 to 13)
  • Total
    • 15. Personnel (sum of lines 4 and 14)

Table 2
Authorized Strength as of May 15

Number

  • Authorized Police Officer Strength
  • Other Personnel as of May 15
    • Auxiliary / Reserve Police
    • Casual / Temporary Police Officers
    • Casual / Temporary Civilians

Table 3
This table has been discontinued.

Table 4
Year End Operating Expenditures (For each of the following categories: Calendar Year 2009 OR Fiscal Year 2009/2010)

Actual Amount (Nearest dollar)

  • Salaries and Wages
  • Benefits
    • Paid from Police Force Budget
    • Paid from Other Government Source
  • Other Operating Expenditures
  • Total
    • Operating Expenditures (exclude capital expenditures)

Identify which budget the following items are included in by marking an “X” in the appropriate column(s). (See scoring rules.) (For each of the following categories: Police Force Operational Budget, Police Force Capital Budget, Other Government Source)

Item

  • Vehicle Purchases
  • Vehicle Leasing
  • Computer Services
  • Accommodations
  • Emergency “911” Services

Authorization to release
Authorization: This authorizes the Chief Statistician of Canada to disseminate information reported on this questionnaire to the public.

  • Name
  • Signature
  • Name and Signature of Contact
  • Telephone Number
  • Date
    • Year
    • Month
    • Day

Comments and/or Explanations

8-1000-4: 2010-05-05
STC/CCJ-140-60000
Statistics Canada