2009 to 2010 Collection Period

History and Background

The Elementary-Secondary Education Statistics Project (ESESP) started as a pilot project that was first introduced by Statistics Canada (STC) in 2003. The survey content originates from three (3) tables which were originally part of a survey that was sent out each year to all provinces and territories by the British Columbia Ministry of Education. Following formal consultation with all provinces, territories and data users, seven (7) new tables were introduced by Statistics Canada to collect additional data. The goal of this project is to collect elementary/secondary expenditure data and to replace several surveys which were used for the collection of enrolment, graduate, and educator data. These included the former Elementary-Secondary School Enrolment Survey, the Secondary School Graduate Survey, the Elementary-Secondary Education Staff Survey and the Principal’s Statistical Report as the official collection tools for elementary-secondary enrolments, graduates, and staff data. Although this project collects expenditure data, the Survey of Uniform Financial System – School Boards survey remains active. The main objectives we are hoping to achieve with this collection tool are to produce relevant, comparable and timely statistics and to reduce the respondent burden on educational organisations and school principals.

Statistics Canada maintains a close relationship with the Canadian Education Statistics Council, particularly the Strategic Management Committee (SMC) and seeks their on-going advice and guidance on the survey.

The Canadian Education Statistics Council (CESC) is a partnership between the Council of Ministers of Education of Canada (CMEC) and Statistics Canada. CESC was established in 1989 to improve the quality and comparability of Canadian education data and to provide information that can inform policy-development in education.

CESC produces “Education Indicators in Canada: Report of the Pan-Canadian Education Indicators Program” (PCEIP) to provide a set of statistical measures on education systems in Canada for policy makers, practitioners, and the general public to monitor the performance of education systems, across jurisdictions and over time.

In January 2010, the name of the ESESP changed to the Elementary-Secondary Education Survey (ESES) to symbolize the change from a pilot project to an on-going core survey of Statistics Canada.

In order to obtain consistent counts of students, educators, graduates and expenditures for school boards and districts across provinces and territories, it is very important that respondents use common definitions.

Starting in January 2011 for the 2009/2010 collection period, Statistics Canada commenced collection of private school data.  Following a jurisdictional review that took place in the summer of 2010, Statistics Canada was able to ascertain that of the data collected on the ESES for public schools, Enrolment (grade), Enrolment (age), Minority Language, Graduates and Educators could be provided by jurisdictions for private schools.

Definitions Section

The term School Board is used throughout this document. School Board encompasses district school boards, school authorities and/or their equivalent depending on the jurisdiction.

See page ten for a common definition of private school.

Table 1: Expenditures

School District
The terminology “school district” refers to all school boards and/or school districts.

School district expenditures
Include all expenditures (operating and capital) paid directly by district school boards.

Ministry of Education expenditures
Include all expenditures (operating and capital) expenses paid on behalf of district school boards by Ministries/Departments of Education or any other entities responsible for education (ex: Ministry of Learning, Ministry of Advanced Education).

Other provincial governments or agencies expenditures
Include all expenditures (operating and capital) incurred by other provincial departments or agencies such as Ministry of Finance, Ministry of Transport, etc… Please DO NOT include expenses paid on behalf of school districts by Ministries of Education.

The following are included:

• Regular Programs for Youth
• Adult Upgrading programs such as General Education Development (GED), Adult Basic Education (ABE) and other equivalent programs for secondary schools.
• Vocational Programs for Youth and Adults offered at the secondary level only.

The following are excluded:

• federal expenditures (e.g. schools operated by the Department of Indian and Northern Affairs or the Department of National Defense, federal programs such as Official Languages, Human Resources Development Canada programs, CIDA programs, Health and Welfare programs)
• expenditures for private schools
• all expenditures related to programs at the post-secondary level
• intrasectoral transactions
• principal portion of debt repayments or bank loans
• recoveries of expenditures from specified purpose
• provision for vacation pay and similar employee benefit
• provision for bad debts and any other provisions
• reserves and other suspense accounts
• deficits and write-off to losses
• depreciation on capital expenditures (amortization charges)
• debenture discount
• taxes remitted to other government sub-sectors (ex: municipal taxes)

School boards and Districts

Educator remuneration:

Salaries, Wages and Allowances (row1)
Salaries and wages are the remuneration to educators for services rendered. Include principals, vice-principals and other professional non-teaching staff which includes, among others, pedagogical consultants, guidance counselors and special education teachers.

Allowances are payments made in addition to salaries/wages to compensate for isolation, additional administrative duties or other responsibilities and other similar costs. Please include sick leave payments, maternity leave and other approved leave. Ad hoc allowances for travel and accommodation are excluded and are reported in “Other operating expenditures”. Allowances also exclude payment of superannuation or pension premiums on behalf of the educator. For more information on the definition of “educators”, please see the Educator related tables (section 2.3).

Fringe benefits – except employer’s contribution to Canada and Quebec pension plans (row2)
Includes payment on behalf of the educator for unemployment insurance premiums, life insurance plans, health, dental and drug plans, vision care plans, workers' compensation plans, disability insurance plans, termination and early retirement gratuities, private use of institution's goods and services, employee discounts, professional fees related to professional development, payments to government work safety agencies, purchase and maintenance of clothing, moving fees, employee counseling services, union duties leave, annuity funds, paid recognition for years of service, paid holidays, trips, jury duty pay, employee parking lot fees, and board-sponsored recreation or paid memberships.

Educator pension plans:

Employer’s contribution to Canada and Quebec pension plans (row 3)
Includes the employer’s contribution to Canada and Quebec pension plans

Others pension plans (row 4)
Any other types of pension plans.

Periodic contributions to rectify actuarial deficiencies (row 5)
Adjustments made during the current year to ensure that the funds required are available, which are actuarial liability adjustments made to current service payments to reduce or eliminate the debt.

Other operating expenditures:

Other operating expenditures (row 6)
Include salary and non salary costs related to business administration, instruction, educational services, food services, school facilities services, school transportation and any other expenditure related to the provision of services in the public school system. Do not include interests on debt services.

Total operating expenditures (row 7)
The sum of rows 1 to 6.

Capital expenditures

Capital expenditures (row 8)
Include acquisitions of physical assets of a fixed or permanent nature with a useful life of more than one operating year. Include expenditures of an annual or cyclical nature for capital-lease and leasehold improvement (e.g. major repairs and upgrades to school and board buildings, new school and board furniture equipment and vehicles). Exclude expenditures for non-major repairs and maintenance designated as “plant operation” in Other operating expenditures (row 6).

Please note that all capital expenditures must be reported with the historical cost in the year of the initial expenditure. If the capital expenditures are "amortized" during their useful life, they should be converted to the historical cost and reported to the year of the initial cost in order to insure the comparability of data between provinces and territories. Please include a description of each category on the Capital expenditure conversion form whenever the amortization of a fixed asset is used.

Interest on debt services (row 9)
Include the interest on loans and advances, bonds, debentures and mortgages. Include also other debt charges such as bank service charges and other charges pertaining to the servicing of the public debt.

Total capital expenditures (row 10)
The sum of rows 8 and 9.

Total expenditures - School boards and districts (row 11)
The sum of rows 7 and 10.

Ministry of Education

Educator remuneration:

Salaries, Wages and Allowances (row 12)
As defined under school district expenditures (see row 1).

Fringe benefits – all, except employer’s contribution to pension plans (row 13)
As defined under school district expenditures (see row 2).

Educator pension plans:

Employer’s contribution to pension plans (row 14)
As defined under school district expenditures (see row 3).

Others pension plans (row 15)
As defined under school district expenditures (see row 4)

Periodic contributions to rectify actuarial deficiencies (row 16)
As defined under school district expenditures (see row 5).

Other operating expenditures:

Other operating expenditures (row 17)
Include only Ministry/Department of Education expenses relating to DIRECT financial support of school boards. For example, milk programs, textbooks, library, guidance and audio visual expenses. Do NOT include any grants or contributions to schools boards or districts.

General administration (row 18)
Include only administration expenses directly incurred by the Ministry/Department of Education. For example, the Minister’s Office expenses including his/her salary, human resources, administrative support and financial services. If any of these administration expenses stated above are also lumped together with post-secondary education, please state or pro-rate the elementary portion only.

Total operating expenditures (row 19)
The sum of rows 12 to 18.

Capital expenditures:

Capital expenditures (row 20)
Include only Ministry/Department of Education capital expenditures relating to direct financial support of school boards. Do NOT include any grants or contributions to schools boards or schools districts.

Interest on debt services (row 21)
Include the interest on loans and advances, bonds, debentures and mortgages. Include also other debt charges such as bank service charges and other charges pertaining to the servicing of the public debt.

Total capital expenditures (row 22)
The sum of rows 20 and 21. 

Total expenditures – Ministry/Department of Education (row 23)
The sum of rows 19 and 22. 

Other provincial departments or agencies

Educator remuneration:

Salaries, Wages and Allowances (row 24)
As defined under school district expenditures (see row 1).

Fringe benefits – all, except employer’s contribution to pension plans (row 25)
As defined under school district expenditures (see row 2).

Educator pension plans:

Employer’s contribution to pension plans (row 26)
As defined under school district expenditures (see row 3).

Others pension plans (row 27)
As defined under school district expenditures (see row 4).

Periodic contributions to rectify actuarial deficiencies (row 28)
As defined under school district expenditures (see row 5).

Other operating expenditures:

Other operating expenditures (row 29)
Include only “Other provincial government or agencies” expenses relating to DIRECT financial support of school boards. For example, school book bureaus, milk programs, textbooks, guidance and audio visual expenses. Do NOT include any grants or contributions to schools boards or schools districts, administration expenses (see row 17). Do NOT include any expenses from Ministry/Department of Education.

Total operating expenditures (row 30)
The sum of rows 24 to 29.

Capital expenditures:

Capital expenditures (row 31)
Include only Other provincial governments or agencies capital expenditures related to DIRECT financial support of school boards. Do NOT include any grants or contributions to schools boards or schools districts. Do NOT include any expenses from Ministry/Department of Education.

Interest on debt services (row 32)
Include the interest on loans and advances, bonds, debentures and mortgages. Include also other debt charges such as bank service charges and other charges pertaining to the servicing of the public debt.

Total capital expenditures (row 33)
The sum of rows 31 and 32.

Total expenditures - Other provincial departments or agencies (row 34)
The sum of rows 30 and 33.

Total Education Expenditures (row 35)
The sum of rows 11, 23 and 34.

Table 2A and 2B: Enrolments by Type of Program, Grade and Sex, Age, School Boards and Districts (Headcount)

Enrolment
Number of students (headcount) enrolled in publicly funded schools operated by school boards or the province in September (or as close as possible thereafter) of the school year. It includes all students in regular publicly funded schools (graded and ungraded), provincial reformatory or custodial schools, and other students recognized and funded by a province or territory.
Exclude correspondence or distance education enrolments, private school students, independent school students or students in schools financed by federal departments (e.g. the Department of National Defense and the Department of Indian and Northern Affairs).

Include other non-standard enrolment including students receiving educational services (if recognized by the province) and for schools and/or school districts that receive funding in a unique manner. They may be non-graduates who are taking only a few courses required to complete graduation. For example, a student who is enrolled in only 25% of a 'regular' course load and for whom the school or school district receives only 25% of the usual funding. This category may not apply to some provinces or territories.

Table 2.1 Regular Programs for Youth
Enrolments in general training programs offered to similarly aged young students.

Table 2.2 Full Time Equivalent (FTE) Rate (Adjustment Factor) - Regular Programs for Youth
Full time equivalent (FTE) rate represents the time fraction spent in classroom and for which students are funded. If the time fraction is unknown, an estimate should be used. For example, junior kindergarten and kindergarten students taking a half-time program and where a half-time program is being funded, the FTE enrolment would be the headcount enrolment divided by two, which is 0.5. If a student is only taking a quarter of the usual course load and is funded on that basis, the FTE enrolment would be the headcount enrolment divided by four, which is 0.25.

For most jurisdictions, grades 1-12 have an FTE of 1.0 as these grades are generally considered full-time whereas FTE’s of less than 1.0 are prevalent for the Junior Kindergarten and Kindergarten grades.

Table 2.3 Upgrading Programs for Adults
Include enrolments in General Education Development (GED), Adult Basic Education (ABE) and other equivalency programs.
Exclude any enrolments in upgrading programs offered at the postsecondary level or by any institution other than a school board.

Table 2.4 Vocational Programs for Youth and Adults
Include enrolments in all professional and technical training programs offered in public schools operated by school boards or the province.
Vocational Education is designed to lead students to acquire the practical skills, know-how and understanding necessary for employment in a particular occupation or trade or class of occupations or trades. Successful completion of such programs usually lead to a labour-market relevant vocational qualification recognized by the competent authorities in the province/territory in which it is obtained. 
To be considered a vocational student, at least 25 per cent of the student’s instructional time must be in a vocational or technical program.

Exclude any enrolments in vocational programs offered at the postsecondary level or by any institution other than a school board

Table 3: Enrolments by Type of Minority and Second Language Programs, (Headcount) 

Table 3.1 Regular Second Language Programs (or Core Language programs)
Enrolments in programs where French is taught to Anglophone students or English is taught to Francophone students as a “subject” in the regular course offerings. One or more additional subjects can also be taught in the student’s second official language but second language instruction must not exceed 25% of all instruction time.

Table 3.2 Second Language Immersion Programs
Enrolments in programs where French is the language of instruction for Anglophone students or English is the language of instruction for Francophone students. Instruction time in the student’s second official language exceeds 25% of all instruction time.

Table 3.3 Minority Language Programs (or First Official Language programs)
Enrolments in programs for students from the official language linguistic minority in the relevant province or territory (French outside Québec, English in Québec). These programs allow children in the linguistic minority to pursue their education in their first official language.

Table 4: Enrolments by Aboriginal Language Programs by Grade, (Headcount)

Table 4.1 Aboriginal as Language of Instruction (a.k.a. Aboriginal second language program or Core Aboriginal)
Enrolments in programs where an Aboriginal language is taught as a subject as part of regular course offerings. One or more additional subjects can also be taught in an Aboriginal language but may not exceed 25% of all instruction time.
4.1 captures data for all students, aboriginal and non-aboriginal.

Table 4.2 Aboriginal Language as Language of Instruction (a.k.a. Aboriginal first language program)
Enrolments in schools where all classroom instruction is taught in an Aboriginal language for Aboriginal students (exclude non-Aboriginal/First Nation students).

Table 5: Enrolments in Special Needs Education by Type of Exceptionality (Disability), Type of Class, School Boards and Districts (Headcount)

Special Needs Education
Students with special educational needs are those who have been identified with an exceptionality for whom additional public and/or private resources are provided to support their education. Additional resources are resources made available over and above those generally available to regular students. They are resources provided to support students who have difficulties following the regular curriculum. They can consist of personnel resources (a more favorable teacher/student ratio, additional teachers, assistants or other personnel), material resources (aides or supports of various types, modification or adaptation to classroom, specialized teaching materials) or financial resources (modified funding formulae, money set aside within the regular budget allocation or additional payments).

Following the OECD definitions and recommendations from the Special Education and Student Services Directors of the Western and Northern Canada Protocol, these students are broken in three sub-categories:

• A. Sensory, physical and intellectual disabilities - Low incidence disabilities
  Refers to students whose disabilities have clear biological causes – such as physical disabilities, visual impairment/blind, hearing impairment/deaf, moderate to severe/profound intellectual disability, chronic health problem, multiple disabilities, autism and fetal alcohol syndrome (FAS).

• B. Learning disabilities and behavioral disabilities - High incidence disabilities
  Refers to students who are experiencing learning and/or behavioral difficulties.

• C. To compensate for SES or other disadvantages
  Refers to students whose difficulties are considered to arise primarily from socio-economic, cultural and/or linguistic disadvantages for which the education system seeks to compensate.

If a student has multiple special educational needs, this student should be counted in each of the sub-categories. However, please make sure that these students are only counted once in the totals.

Regular Class
Classroom composed of similarly aged students.
Students who are withdrawn from a regular class to receive special education services for less than 25% of their instructional time or students who receive special supports while attending a regular class are deemed attending a regular class. 

Special Class
Segregated (all-day or partial) classroom composed of students with identified special education needs. If a student spends 25% or more of her/his time outside of the regular classroom, they are considered attending a special classroom.

Table 6: Number of Graduates by Type of Programs and Age and Sex

Graduates
Include first time graduates only. Count late graduates but do not count the same graduate twice.

Table 6.1 Regular Programs for Youth
Graduates of general training programs offered to similarly aged young students.

Table 6.2 Adult Upgrading Programs
Include graduates in General Education Development (GED), Adult Basic Education (ABE) and other equivalency programs.
Exclude any graduates of upgrading programs offered at the postsecondary level or by any institution other than a school board.

Table 6.3a, b. Vocational Programs for Youth and Adults
Include graduates in all professional and technical training programs.
Exclude any graduates of vocational programs offered at the postsecondary level or by any institution other than a school board.

Educator related definitions

Educator related tables
Include all employees in the public school system who belong to one of the three following categories: teachers, school administrators and pedagogical support.

It includes all educators in regular public schools, provincial reformatory or custodial schools, and other students recognized and funded by a province or territory.
Exclude correspondence or distance programs, private schools or independent school schools financed by federal departments (e.g. the Department of National Defense and the Department of Indian and Northern Affairs).

Please note that all teachers in regular programs for youth, adult upgrading programs and vocational programs for youth and adults should also be included. Exclude any programs offered at the postsecondary level or by any institution other than a school board.

Teachers
This category includes personnel involved in direct student instruction in a group or one-on-one basis. Chairpersons of departments who spend the majority of their time teaching should also be reported in this category. Personnel temporarily not at work (e.g. for reasons of illness or injury, maternity or parental leave, holiday or vacation) should also be included.

Include:

• Classroom teachers
• Special education teachers
• Specialists (music, physical education)
• Other teachers who work with students as a whole class in a classroom, in small groups in a resource room, or one-on-one inside or outside a regular classroom, including substitute/supply teachers.

Exclude:

• Teacher’s aides, student teachers
• Other personnel who do not get paid for their employment.

School Administrators:
This category includes all personnel who support the administration and management of the school (e.g. principals, vice-principals and other management staff with similar responsibilities), only if they DO NOT spend the majority of their time teaching.

Exclude:

• Higher level management
• Receptionists, secretaries, clerks and other staff who support the administrative activities of the school
• Those are reported under “other than educators”

Pedagogical Support
This category covers professional non-teaching personnel who provide services to students to support their instruction program. It includes educational assistants, paid teacher’s aides, guidance counselors and librarians.

Exclude:

• Health and social support which should be reported under ‘other than educators”

Table 7.1 Number of full-time and part-time educators by age group and sex (headcounts)

Headcount Educator
Defined as the number of educators on September the 30th (or as close as possible thereafter) of the school year who are responsible for providing services to the headcount enrolment students.

Table 7.2 Number of Full-Time Equivalent ( FTE ) educators by categories

Full Time Equivalent (FTE) Educator
Defined as the number of full-time educators on September the 30th (or as close as possible thereafter) of the school year, plus the sum of part-time educators according to their percentage of a full-time employment allocation (determined by the province or territory). For example, if a normal full-time work allocation is ten months per year, an educator who works for six months of the year would be counted as 0.6 of a Full Time Equivalent (FTE) or an employee who works part time for ten months at 60% of full time would be 0.6 of an FTE.

Please report FTE’S under the three following categories: teachers, school administrators and pedagogical support.

New…Private School Data

(As a reminder, private school data is to be submitted as an aggregate at the provincial level, not school level).

Private elementary and secondary schools: These schools, whether church affiliated, or non-sectarian, are operated, managed and administered by private individuals and/or groups (e.g. a Church, a Trade Union or a business enterprise, foreign or international agency), or its Governing Board consists mostly of members not selected by a public agency.

Source of funds: The extent to which an institution receives its funding from public or private sources does not determine the classification status of the institution between public and private. The ESES does not distinguish between government dependent private and independent private institutions.

Regulation: Privately managed schools may be subject to some regulation or control by public authorities, but these institutions are nevertheless classified as private, provided that they are ultimately subject to private control. Public regulation may extend to areas such as curriculum, staffing appointments, admissions policies, and other matters.

If you need to reach us…

If you require clarification or any other assistance, please do not hesitate to contact the ESES Team:

Riley Brockington,
ESES Manager and Analyst
613-951-2995
Riley.Brockington@statcan.gc.ca

Elaine Tremblay,
Statistical Officer
613-951-0695
Elaine.Tremblay@statcan.gc.ca

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
	%
Aug-10	0.79	1.17	1.59	1.45	1.44
Sep-10	0.77	1.21	1.58	1.40	1.58
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	1.77	1.41	2.73
Jul-11	0.78	1.19	1.88	1.41	2.78
Aug-11	0.79	1.27	1.93	1.37	2.76

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	83.52	3.53	5.90	6.40	0.44	0.21
Raw materials and components	75.06	7.81	7.75	0.00	9.36	0.02
Goods / work in process	58.15	8.52	25.22	0.00	7.24	0.88
Finished goods manufactured	77.01	7.69	5.28	0.00	9.00	1.03
Unfilled Orders	46.82	6.32	42.18	0.00	3.95	0.73

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.

(Industrial Generation)
Deadline for Receipt: April 1, 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.

Reporting period January to December, 2010

Schedule #5

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, 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 sectoralso 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 data from Statistics Canada.

Information from this survey will be used for statistical purposes only and will be published in an 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. For further information on data-sharing, please see the enclosed reporting guide.

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, Manufacturing and Energy Division, Energy Section, Jean Talon Building, Ottawa, Ontario, K1A 0T6 by April 1, 2011. If you require assistance in the completion of the questionnaire, contact the Energy Section by telephoning (613) 951-3087, or by fax at (613) 951-9499.

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.

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

Instructions (for industry)

This schedule is to be completed for the station or stations indicated on the label affixed to the questionnaire. Estimate if necessary.

Are there any stations on standby? If yes, please report them in the Notes section.

Value should be the total cost at the station gate. Shaded areas are reserved for Statistics Canada only.

Are the reported fuels consumed for electricity generation only?

• Yes - Please complete part 2 (except the efficiency column)
• No - Please complete part 1 and 2 (report the total amount of fuel(s) used in the boiler(s))

Part 1

What is the actual electrical generator efficiency? (%)

What portion of steam is used to produce electricity? (%)

What is the actual turbine efficiency? (%)

Cogeneration

• Yes
• No - If no, skip to part 2

If “Yes”

Primary Purpose

• Electricity – Internal
• Electricity for industry
• Thermal– Internal
• Thermal for industry

Sub-type

• Combined cycle
• Steam turbine
• Combustion engine diesel
• Natural gas combustion turbine
• Other, specify

Part 2

Fuels Used to Generate Electricity

Solid

Efficiency of the boiler by fuel use (%), Average heat content (kj/kg), Quantity (t) and Total cost ($). Shaded: Generation (MW.h)

• Bituminous coal
  • Canadian
  • Imported
• Subbituminous coal
  • Canadian
  • Imported
• Lignite
• Wood (bark, hog-fuel etc.)
• Petroleum Coke
• Agriculture biomass
• Other biomass (food processing)
• Other biomass - type unknown
• Municipal and other waste
• Other (specify)

Liquid

Efficiency of the boiler by fuel use (%), Average heat content (kj/l), Quantity (kl) and Total cost ($). Shaded: Generation (MW.h)

• Biodiesel
• Ethanol
• Other biofuel
• Light fuel oil (# 1,2,3)
• Heavy fuel oil (# 4,5,6)
  • Canadian
  • Imported
• Propane
• Diesel
• Spent pulping liquor
• Orimulsion
• Other (specify)

Gaseous

Efficiency of the boiler by fuel use (%), Average heat content (kj/m³), Quantity (10³m³) and Total cost ($). Shaded: Generation (MW.h)

• Natural gas
• Coke oven gas
• Methane
• Refinery fuel gas
• Other (specify)

Other

Efficiency of the boiler by fuel use (%), Average heat content (kj/kg), Quantity (kg) and Total cost ($). Shaded: Generation (MW.h)

• Nuclear (Uranium)
• Steam from waste heat (The amount of electricity generated when waste heat is recaptured to run a steam generator.)

Electricity Generation (MW.h)

Notes

(Industrial Generation)
Deadline for Receipt: April 2, 2010

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.

Reporting period January to December, 2009

Schedule #5

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 sectoralso uses 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 Information Act or any other legislation. Therefore, for example, the Canada Revenue Agency cannot access identifiable survey data from Statistics Canada.

These survey data will only be used for statistical purposes and will be published in an 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. For further information on data sharing, please see the enclosed reporting guide.

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, Manufacturing and Energy Division, Energy Section, Jean Talon Building, Ottawa, Ontario, K1A 0T6 by April 2, 2010. If you require assistance in the completion of the questionnaire, contact the Energy Section by telephoning (613) 951-3087, or by fax at (613) 951-9499.

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.

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

Instructions (for industry)

This schedule is to be completed for the station or stations indicated on the label affixed to the questionnaire. Estimate if necessary.

Are there any stations on standby? If yes, please report them in the Notes section.

Value should be the total cost at the station gate. Shaded areas are reserved for Statistics Canada only.

Are the reported fuels consumed for electricity generation only?

• Yes - Please complete part 2 (except the efficiency column)
• No - Please complete part 1 and 2 (report the total amount of fuel(s) used in the boiler(s))

Part 1

What is the actual electrical generator efficiency? (%)

What portion of steam is used to produce electricity? (%)

What is the actual turbine efficiency? (%)

Cogeneration

• Yes
• No - If no, skip to part 2

If “Yes”

Primary Purpose

• Electricity – Internal
• Electricity for industry
• Thermal– Internal
• Thermal for industry

Sub-type

• Combined cycle
• Steam turbine
• Combustion engine diesel
• Natural gas combustion turbine
• Other, specify

Part 2

Fuels Used to Generate Electricity

Solid

Efficiency of the boiler by fuel use (%), Average heat content (kj/kg), Quantity (t) and Total cost ($). Shaded: Generation (MW.h)

• Bituminous coal
  • Canadian
  • Imported
• Subbituminous coal
  • Canadian
  • Imported
• Lignite
• Wood (bark, hog-fuel etc.)
• Petroleum Coke
• Agriculture biomass
• Other biomass (food processing)
• Other biomass - type unknown
• Municipal and other waste
• Other (specify)

Liquid

Efficiency of the boiler by fuel use (%), Average heat content (kj/l), Quantity (kl) and Total cost ($). Shaded: Generation (MW.h)

• Biodiesel
• Ethanol
• Other biofuel
• Light fuel oil (# 1,2,3)
• Heavy fuel oil (# 4,5,6)
  • Canadian
  • Imported
• Propane
• Diesel
• Spent pulping liquor
• Orimulsion
• Other (specify)

Gaseous

Efficiency of the boiler by fuel use (%), Average heat content (kj/m³), Quantity (10³m³) and Total cost ($). Shaded: Generation (MW.h)

• Natural gas
• Coke oven gas
• Methane
• Refinery fuel gas
• Other (specify)

Other

Efficiency of the boiler by fuel use (%), Average heat content (kj/kg), Quantity (kg) and Total cost ($). Shaded: Generation (MW.h)

• Nuclear (Uranium)
• Steam from waste heat (The amount of electricity generated when waste heat is recaptured to run a steam generator.)

Electricity Generation (MW.h)

Notes

(NAICS 22111 – Electric Power Generation)

Deadline for Receipt: April 1, 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.

Reporting period: January to December, 2010

Schedule #5

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, 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.

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 data from Statistics Canada.

Information from this survey will be used for statistical purposes only and will be published in an 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. For further information on data-sharing, please see the enclosed reporting guide.

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, Manufacturing and Energy Division, Energy Section, Jean Talon Building, Ottawa, Ontario, K1A 0T6 by April 1, 2011. If you require assistance in the completion of the questionnaire, contact the Energy Section by telephoning (613) 951-3087, or by fax at (613) 951-9499.

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.

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

Instructions

This schedule is to be completed for the station or stations indicated on the label affixed to the questionnaire.

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

Estimate if necessary.

Value should be the total cost at the station gate. Shaded areas are reserved for Statistics Canada only.

Are there any stations on standby? If yes, please report them in the Notes section.

Are the reported fuels consumed for electricity generation only?

If yes, please report them in the Notes Section

Part 1

Cogeneration

• Yes
• No - If no, skip to part 2

If “Yes”

Primary Purpose

• Electricity – Internal
• Electricity for industry
• Thermal– Internal
• Thermal for industry

Sub-type

• Combined cycle
• Steam turbine
• Combustion engine diesel
• Natural gas combustion turbine
• Other, specify

Part 2

Fuels Used to Generate Electricity

Solid

Average heat content (kj/kg), Quantity (t) and Total cost ($). Shaded: Generation (MW.h)

• Bituminous coal
  • Canadian
  • Imported
• Subbituminous coal
  • Canadian
  • Imported
• Lignite
• Wood (bark, hog-fuel etc.)
• Petroleum Coke
• Agriculture biomass
• Other biomass (food processing)
• Other biomass - type unknown
• Municipal and other waste
• Other (specify)

Liquid

Efficiency of the boiler by fuel use (%), Average heat content (kj/l), Quantity (kl) and Total cost ($). Shaded: Generation (MW.h)

• Biodiesel
• Ethanol
• Other biofuel
• Light fuel oil (# 1,2,3)
• Heavy fuel oil (# 4,5,6)
  • Canadian
  • Imported
• Propane
• Diesel
• Spent pulping liquor
• Orimulsion
• Other (specify)

Gaseous

Efficiency of the boiler by fuel use (%), Average heat content (kj/m³), Quantity (10³m³) and Total cost ($). Shaded: Generation (MW.h)

• Natural gas
• Coke oven gas
• Methane
• Refinery fuel gas
• Other (specify)

Other

Efficiency of the boiler by fuel use (%), Average heat content (kj/kg), Quantity (kg) and Total cost ($). Shaded: Generation (MW.h)

• Nuclear (Uranium)
• Steam from waste heat (The amount of electricity generated when waste heat is recaptured to run a steam generator.)

Electricity Generation (MW.h)

Notes

(NAICS 22111 – Electric Power Generation)

Deadline for Receipt: April 2, 2010

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.

Reporting period: January to December, 2009

Schedule #5

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.

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 Information Act or any other legislation. Therefore, for example, the Canada Revenue Agency cannot access identifiable survey data from Statistics Canada.

These survey data will only be used for statistical purposes and will be published in an 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. For further information on data sharing, please see the enclosed reporting guide.

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, Manufacturing and Energy Division, Energy Section, Jean Talon Building, Ottawa, Ontario, K1A 0T6 by April 2, 2010. If you require assistance in the completion of the questionnaire, contact the Energy Section by telephoning (613) 951-3087, or by fax at (613) 951-9499.

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.

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

Instructions

This schedule is to be completed for the station or stations indicated on the label affixed to the questionnaire.

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

Estimate if necessary.
Value should be the total cost at the station gate.

Shaded areas are reserved for Statistics Canada use only.

Are there any stations on standby?
If yes, please report them in the Notes section.

Part 1

Cogeneration

• Yes
• No, If no, skip to part 2

If “Yes”

Primary Purpose

• Electricity – Internal
• Electricity for industry
• Thermal– Internal
• Thermal for industry

Sub-type

• Combined cycle
• Steam turbine
• Combustion engine diesel
• Natural gas combustion turbine
• Other, specify

Part 2

Fuels Used to Generate Electricity

Solid

Average heat content (kj/kg), Quantity (t), Total cost ($) and Generation (MW.h)

• Bituminous coal
  • Canadian
  • Imported
• Subbituminous coal
  • Canadian
  • Imported
• Lignite
• Wood (bark, hog-fuel etc.)
• Petroleum Coke
• Agriculture biomass
• Other biomass (food processing)
• Other biomass - type unknown
• Municipal and other waste
• Other (specify)

Liquid

Average heat content (kj/l), Quantity (kl), Total cost ($) and Generation (MW.h)

• Biodiesel
• Ethanol
• Other biofuel
• Light fuel oil (# 1,2,3)
• Heavy fuel oil (# 4,5,6)
  • Canadian
  • Imported
• Propane
• Diesel
• Spent pulping liquor
• Orimulsion
• Other (specify)

Gaseous

Average heat content (kj/m³), Quantity (10³m³), Total cost ($) and Generation (MW.h)

• Natural gas
• Coke oven gas
• Methane
• Refinery fuel gas
• Other (specify)

Other

Average heat content (kj/kg), Quantity (kg), Total cost ($) and Generation (MW.h)

• Nuclear (Uranium)
• Steam from waste heat (The amount of electricity generated when waste heat is recaptured to run a steam generator.)

Electricity Generation (MW.h)

Notes

Deadline for Receipt: April 1, 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.

Reporting period: January to December, 2010

Schedule #4

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, 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 sectoralso 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.

These survey data will only be used for statistical purposes and will be published in an 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. For further information on data-sharing, please see the enclosed reporting guide.

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, Manufacturing and Energy Division, Energy Section, Jean Talon Building, Ottawa, Ontario, K1A 0T6 by April 1, 2011. If you require assistance in the completion of the questionnaire, contact the Energy Section by telephoning (613) 951-3087, or by fax at (613) 951-9499.

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.

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

Supply

Section 1. Electricity Generated

Megawatt-hours

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

Section 2. Gross Receipts of Electricity

Value in thousands of dollars and megawatt-hours

• Name of System
  • Total

Section 3. Total Supply

Megawatt-hours

Disposition

Section 4. Gross Deliveries of Electricity

Value in thousands of dollars and megawatt-hours

• Name of System
  • Total

Section 5. Electricity Used

Report all electricity consumed (self generated or purchased), i.e. used for own operation or given as compensation. (Please report separately for operations which have different NAICS classifications.List company names and type of compensation or arrangement.)

Total

Section 6. Transmission Distribution and Other Losses

Section 7. Total Disposal

Note: This line must equal Section 3 Total supply

Comments

 

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.

Reporting period: January to December, 2009

Schedule #4

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 sectoralso uses 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 Information Act or any other legislation. Therefore, for example, the Canada Revenue Agency cannot access identifiable survey data from Statistics Canada.

These survey data will only be used for statistical purposes and will be published in an 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. For further information on data sharing, please see the enclosed reporting guide.

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, Manufacturing and Energy Division, Energy Section, Jean Talon Building, Ottawa, Ontario, K1A 0T6 by April 2, 2010. If you require assistance in the completion of the questionnaire, contact the Energy Section by telephoning (613) 951-3087, or by fax at (613) 951-9499.

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.

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

Supply

Section 1. Electricity Generated

Megawatt-hours

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

Section 2. Gross Receipts of Electricity

Value in thousands of dollars and megawatt-hours

• Name of System
  • Total

Section 3. Total Supply

Megawatt-hours

Disposition

Section 4. Gross Deliveries of Electricity

Value in thousands of dollars and megawatt-hours

• Name of System
  • Total

Section 5. Electricity Used

Report all electricity consumed (self generated or purchased), i.e. used for own operation or given as compensation. (Please report separately for operations which have different NAICS classifications.List company names and type of compensation or arrangement.)

Total

Section 6. Transmission Distribution and Other Losses

Section 7. Total Disposal

Note: This line must equal Section 3 Total supply

Statistics Canada Use

• Residential
• Manufacturing and mining
• All other
• Total

Deadline for Receipt: April 1, 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.

Reporting period: January to December, 2010

Schedule #4

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, 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 sectoralso 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 data from Statistics Canada.

Information from this survey will be used for statistical purposes only and will be published in an 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. For further information on data-sharing, please see the enclosed reporting guide.

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, Manufacturing and Energy Division, Energy Section, Jean Talon Building, Ottawa, Ontario, K1A 0T6 by April 1, 2011. If you require assistance in the completion of the questionnaire, contact the Energy Section by telephoning (613) 951-3087, or by fax at (613) 951-9499.

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.

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

Supply

Section 1. Electricity Generated

Megawatt-hours

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

Section 2. Gross Receipts of Electricity from the U.S.A.

Value in thousands of dollars and megawatt-hours

• Firm
• Interruptible
• Non-revenue

Total receipts from U.S.A.

Section 3. Gross Receipts of Electricity from OtherProvinces

Value in thousands of dollars and megawatt-hours

• System Name

Total receipts from other provinces

Section 4. Gross Receipts of Electricity from Within Province

Value in thousands of dollars and megawatt-hours

• System Name

Total receipts from within province

Section 5. Total Supply

Megawatt-hours

Total generation + Total receipts from U.S.A. + Total receipts from other provinces + Total receipts from within province

Disposition

Section 6. Gross Deliveries of Electricity to the U.S.A.

Value in thousands of dollars and megawatt-hours

• Firm
• Interruptible
• Non-revenue

Total deliveries to U.S.A.

Section 7. Gross Deliveries of Electricity to OtherProvinces

Value in thousands of dollars and megawatt-hours

• System Name

Total deliveries to other provinces

Section 8. Gross Deliveries of Electricity Within Province

Value in thousands of dollars and megawatt-hours

• System Name

Total deliveries within province

Section 9. Electricity Used

Megawatt-hours

Report all electricity consumed (self-generated or purchased), i.e. used for own operations or given as compensation. (Please report separately for operations which have different NAICS classifications. List company names and type ofcompensation or arrangement.)

(Note : Please do not duplicate in Section 10)

Total electricity used

Section 10. Deliveries to Ultimate Consumers (Billed + or - adjustments)

Instructions:

(a) Residential: In the case of bulk metered apartments, the number of individual suites should be included. Estimate if necessary. Do not include seasonal customers, but do include the energy consumed by them.

(b) Total cost to customers : electricity commodity, distribution, transmission, and any other regulated charges. Exclude any sale taxes, GST or PST/HST

Note: Numbers in brackets represent 1997 NAICS codes

Number of customers, Cost ($'000) and Megawatt-hours

• Residential - Single Meter
• Residential - Bulk Meter
• Family Farms (at farm rates or an estimate)
• Corporate Farms and Support Activities (111, 112, 1151 and 1152 at commercial/industrial rates)
• Irrigation (at irrigation rates only)
• Total Agriculture
• Total Residential and Agriculture
• Iron ore mining (21221)
• Oil and Gas Extraction and Support Actvities (211 and 213 excluding 213119)
• Other Mining and Support Activities (212 and 213119 excluding 21221)
• Food Manufacturing (311)
• Paper Manufacturing (322)
• Iron and Steel Manufacturing (3311, 3312, 33151)
• Aluminium and Non-Ferrous Metal Manufacturing (3313, 3314 and 33152)
• Cement Manufacturing (32731)
• Petroleum and Coal Products Manufacturing (324)
• Chemical, Pesticide and Fertilizer Manufacturing (3251, 3253)
• Other Manufacturing (31-33 / except above)
• Total Mining and Manufacturing
• Urban Transit Systems (4851)
• Pipeline Transportation and Natural Gas Distribution (486, 2212)
• Public Administration (91)
• Street lighting (please estimate)
• Commercial and Other Institutional (all industries not previously specified)
• Total Other
• Grand Total (Total Residential and Agriculture + Total Mining and Manufacturing + Total Other)

Section 11. Transmission, Distribution and Other Losses - Estimate When Necessary

Megawatt-hours

Section 12. Total Disposal

Megawatt-hours

Total deliveries to U.S.A. + Total deliveries to other provinces + Total deliveries within province + Total electricity used + Grand Total + Transmission, Distribution and Other Losses

Note: This line must equal line Section 5, Total Supply

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.

Reporting period: January to December, 2009

Schedule #4

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 sectoralso uses 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 Information Act or any other legislation. Therefore, for example, the Canada Revenue Agency cannot access identifiable survey data from Statistics Canada.

These survey data will only be used for statistical purposes and will be published in an 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. For further information on data sharing, please see the enclosed reporting guide.

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, Manufacturing and Energy Division, Energy Section, Jean Talon Building, Ottawa, Ontario, K1A 0T6 by April 2, 2010. If you require assistance in the completion of the questionnaire, contact the Energy Section by telephoning (613) 951-3087, or by fax at (613) 951-9499.

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.

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

Supply

Section 1. Electricity Generated

Megawatt-hours

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

Section 2. Gross Receipts of Electricity from the U.S.A.

Value in thousands of dollars and megawatt-hours

• Firm
• Interruptible
• Non-revenue

Total receipts from U.S.A.

Section 3. Gross Receipts of Electricity from OtherProvinces

Value in thousands of dollars and megawatt-hours

• Name of System

Total receipts from other provinces

Section 4. Gross Receipts of Electricity from Within Province

Value in thousands of dollars and megawatt-hours

• Name of System

Total receipts from within province

Section 5. Total Supply

Megawatt-hours

Total generation + Total receipts from U.S.A. + Total receipts from other provinces + Total receipts from within province

Disposition

Section 6. Gross Deliveries of Electricity to the U.S.A.

Value in thousands of dollars and megawatt-hours

• Firm
• Interruptible
• Non-revenue

Total deliveries to U.S.A.

Section 7. Gross Deliveries of Electricity to OtherProvinces

Value in thousands of dollars and megawatt-hours

• Name of System

Total deliveries to other provinces

Section 8. Gross Deliveries of Electricity to Other Systems Within Province

Value in thousands of dollars and megawatt-hours

• Name of System

Total deliveries within province

Section 9. Electricity Used

Megawatt-hours

Report all electricity consumed (self-generated or purchased), i.e. used for own operations or given as compensation. (Please report separately for operations which have different NAICS classifications. List company names and type ofcompensation or arrangement.)

(Note : Please do not duplicate in Section 10)

Total electricity used

Section 10. Deliveries to Ultimate Consumers (Billed + or - adjustments)

Instructions:

(a) Residential: In the case of bulk metered apartments, the number of individual suites should be included. Estimate if necessary. Do not include seasonal customers, but do include the energy consumed by them.

(b) Total cost to customers : electricity commodity, distribution, transmission, and any other regulated charges. Exclude any sale taxes, GST or PST/HST

Note: Numbers in brackets represent 1997 NAICS codes

Number of customers, Cost ($'000) and Megawatt-hours

• Residential - Single Meter
• Residential - Bulk Meter
• Family Farms (at farm rates or an estimate)
• Corporate Farms and Support Activities (111, 112, 1151 and 1152 at commercial/industrial rates)
• Irrigation (at irrigation rates only)
• Total Agriculture
• Total Residential and Agriculture
• Iron ore mining (21221)
• Oil and Gas Extraction and Support Actvities (211 and 213 excluding 213119)
• Other Mining and Support Activities (212 and 213119 excluding 21221)
• Food Manufacturing (311)
• Paper Manufacturing (322)
• Iron and Steel Manufacturing (3311, 3312, 33151)
• Aluminium and Non-Ferrous Metal Manufacturing (3313, 3314 and 33152)
• Cement Manufacturing (32731)
• Petroleum and Coal Products Manufacturing (324)
• Chemical, Pesticide and Fertilizer Manufacturing (3251, 3253)
• Other Manufacturing (31-33 / except above)
• Total Mining and Manufacturing
• Urban Transit Systems (4851)
• Pipeline Transportation and Natural Gas Distribution (486, 2212)
• Public Administration (91)
• Street lighting (please estimate)
• Commercial and Other Institutional (all industries not previously specified)
• Total Other
• Grand Total (Total Residential and Agriculture + Total Mining and Manufacturing + Total Other)

Section 11. Transmission, Distribution and Other Losses - Estimate When Necessary

Megawatt-hours

Section 12. Total Disposal

Megawatt-hours

Total deliveries to U.S.A. + Total deliveries to other provinces + Total deliveries within province + Total electricity used + Grand Total + Transmission, Distribution and Other Losses

Note: This line must equal line Section 5, Total Supply