Questionnaire
Fiscal Year 2008-2009

Information for Respondents

Confidentiality
Confidential when completed

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

Corrections Program Contact:
Survey manager
Telephone number: (613) 951-9123 or toll-free 1-800-387-2231
Fax: (613) 951-6615
E-mail: ccjsccsj@statcan.gc.ca

Part I
Government Operated Adult Custodial Services

Question 1: How many government operated adult custodial facilities were in operation during the year?  Please indicate number for each of the following.

  • Number in operation at the beginning of the year (i.e. April 1, 2008)
  • New facilities opened during 2008/2009 (Indicate Name, Date Opened)
  • Facilities permanently closed during 2008/2009 (Indicate Name, Date Closed)
  • Number in operation at year-end (i.e. March 31st, 2009).

Core Definition(s):

  1. Fiscal Year - April 1, 2008 to March 31, 2009
  2. Government Facility - Refers to all custodial facilities run by the government agency responsible for corrections in your jurisdiction.  These facilities are distinguishable from private correctional facilities in that they are operated by government employees rather than employees from the private sectors. All facilities that are considered administratively distinct should be counted separately.  For example, if a facility has affiliates or satellites which are administered centrally only the base facility should be counted.
    Many terms are used by the jurisdictions when referring to custodial facilities. Examples are:  jails, correctional institutions, community residential centres, community correctional centres, detention centres, reformatories, training centres, remand centres, and camps. The meaning of these terms can vary among jurisdictions.

Deviation(s) from core definition(s)/comment(s):

Question 2: What was the security level of government-operated adult custodial facilities in operation at year-end? (Specify number for each of the following security levels)

  • Secure facilities (maximum and medium)
  • Open facilities (minimum)
  • Multilevel (secure and open)
  • Other(s), specify:
  • Total facilities in operation at year-end (i.e., March 31, 2009)

Core Definition(s):

  1. Government Facility - See Question 1.
  2. Security Level - Provincial and territorial correctional facilities are classified as either secure, open or having a multilevel setting (secure and open).  A facility is considered secure when inmates are detained by security devices, including those which operate with full perimeter security features and/or whose inmates are under constant supervision or observation. A facility classified as open denotes the minimal use of security devices or perimeter security and/or where supervision of inmates is only partial.  Work camps and community-based correctional facilities are often considered to have an open security level. If the security level of an affiliated facility differs from that of the base facility, the security level of the base facility should be reported.

Deviation(s) from core definition(s)/comment(s):

Question 3:  What were the operational and special purpose capacities provided by all government-operated adult custodial facilities in operation at year-end? (Indicate the number of bed-spaces for each type of capacity)

  • Operational Capacity:
  • Total operational capacity at year-end (i.e. bed-spaces)
  • Special Purpose Capacity:
    • Medical
    • Segregation
    • Protective custody
    • Other(s), specify:
  • Total special purpose capacity at year-end (i.e. bed-spaces)
  • Total institutional capacity (bed-spaces) at year-end

Are special capacity bed-spaces included in the total operating capacity total?

  • Yes
  • No

Core Definition(s):

  1. Government Facility - See Question 1.
  2. Capacity - Note that standards used to assign capacity figures vary across jurisdictions, and that the use of bed-space for special or normal purposes is flexible, depending on operational need.  Also note that capacity figures may vary over the course of the year through the restructuring of available bed-space, therefore, capacity at year-end should be reported.
    Under Operational, the number of inmates the facility is designed to hold under normal circumstances is reported. Under Special, the designated capacity for special purpose usage such as sickness, discipline, protective custody, or segregation is reported. If a distinction between Operational and Special is not available, total capacity only should be reported.

Deviation(s) from core definition(s)/comment(s):

Question 4:  As well as sentenced/remanded adult (and on occasion young offenders) indicate if any of the following categories of offenders are also detained in your facilities? (Select all that apply).

  • Inmates in temporary detention (i.e. lock-up)
  • Immigration
  • Federal inmates
  • Parolees/mandatory suspended offenders
  • Lieutenant-Governor's Warrant
  • Other, specify:

Core Definition(s):

  1. Government Facility - See Question 1.

Deviation(s) from core definition(s)/comment(s):

Question 5:
This question was deleted.

Question 6: 
This question was deleted.

Question 7: How many TA applications were processed during the year?  What were the reasons for granting the TA's and how many were successfully completed?   (For each of the following categories, please specify the number of permits and the number of inmates)

  • Number granted
  • Number successfully completed
  • Number denied
  • Total applications for temporary absence

Core Definition(s):

  1. Temporary Absence - Refers to a conditional release from a correctional facility prison which allows an offender to serve a portion of his/her sentence in the community with or without an escort. Temporary absence programs have evolved in accordance with the operational requirements and program philosophy of individual jurisdictions.  As a result, there are significant differences among jurisdictions in the extent to which the program is utilized, as well as the policies and procedures governing its operation.

Deviation(s) from core definition(s)/comment(s):

Question 8:  How many inmates were unlawfully at large during the year? (Specify the number for each types of escape)

  • From a secure institution (i.e. breach of security barrier)
  • From an open facility (i.e. walkaway-no breach of security barrier)
  • From an escorted temporary absence
  • From an unescorted temporary absence
  • Other(s), specify:
  • Total

Core Definition(s):

  1. Temporary Absence - See Question 7   
  2. Type of Escape - The Criminal Code defines an escape as breaking prison, escaping from lawful custody or being at large before the expiration of a term of imprisonment.

Deviation(s) from core definition(s)/comment(s):

Question 9: How many admissions by Inmate Status to government-operated adult custodial facilities were processed during the year and what was the reason for admission? Please indicate for each of the following types of admissions: Admissions including transfers within jurisdiction, Admissions excluding transfers within jurisdiction.

  • Warrant of Committal (include change of status from any status)
  • Warrant of Remand (include change of status from temporary detention)
  • Temporary Detention (i.e. lock-up, other holdings)
  • Total

Core Definition(s):

  1. Admissions - Refer to all processed entries into the correctional system.    
    • Admissions Including Transfers - Refers to all offender movement both in and between facilities. All arrivals which result in the completion of an admission document should be included, however, inmates released for purposes other than transfer (e.g. to attend court, temporary absence, etc.) should not be included.  Similarly, inmates transferred to camps which are considered as part of a base facility should not be counted.
    • Admissions Excluding Transfers - Refers to all admissions excluding transfers within the same jurisdiction.  Transfers between jurisdictions should be counted as new sentenced admissions.
  2. Inmate Status:
    • Warrant of Committal - Refers to all inmates admitted to custody under sentence during the reporting period, regardless of the initial status on admission to custody. All new entries accompanied by a Warrant of Committal to serve a sentence should be counted only as a sentenced admission. Inmates returning from conditional release should also be counted as sentenced admissions. Inmates in custody prior to the year under study should not be carried over from year to year.
    • Warrant of Remand - Persons not sentenced during their stay should be counted as remand or lock-up admissions. Remand admissions include persons who entered custody under a Warrant of Remand, and persons who were issued a Warrant of Remand while under temporary detention.
    • Temporary Detention - Refers to inmates under police lock-ups (not applicable in all jurisdictions) and to inmates held for other reasons.

Deviation(s) from core definition(s)/comment(s):

Question 10:  What was the gender of persons with a custody admission to adult facilities during the year? (Please specify gender for each of the following types of Status on Admission: Sentenced, Remand, Other, Total)

  • Male
  • Female
  • Not Stated
  • Total offender admissions

Core Definition(s):

  1. Admissions (Excluding Transfers) - See Question 9.                                
  2. Status on Admission - See Question 9. 
  3. Gender - Gender of the person as indicated on admission document.

Deviation(s) from core definition(s)/comment(s):

Question 11: What was the ethnic origin of persons with a custody admission to adult facilities during the year? (Please specify gender: Male, Female, Not Stated, Total and type of ethnicity: Aboriginal, Non-Aboriginal, Not Stated, Total for each of the following types of Status on Admission)

  • Sentenced
  • Remand
  • Other Temporary Detention     

Core Definition(s):

  1. Admissions (Excluding Transfers) - See Question 9.
  2. Status on Admission - See Question 9. 
  3. Ethnicity - Aboriginal Native refers to all North American Indians, Metis, Eskimos, Inuit; treaty and non-treaty Indians; status and non-status Indians.

Deviation(s) from core definition(s)/comment(s):

Question 12: What was the age of persons with a custody admission to an adult facility during the year?  Please use categories provided below, otherwise give most detailed breakdown available.  Specify gender (Male, Female, Not Stated, Total) for each of the types of Status on Admission: Sentenced, Remand, Other for the following age categories:

Age of person with custody admission:

  • <16
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25 to 29
  • 30 to 34
  • 35 to 39
  • 40 to 44
  • 45 to 49
  • 50 and over
  • Not Stated
  • Total offender admissions
  • Mean age (based on micro data)
  • Median age (based on micro data)

Core Definition(s):

  1. Admissions (Excluding transfers) - See Question 9
  2. Status on Admission - See Question 9
  3. Age - Refers to age of offenders on admission to custody, calculated either from the date of birth or as self-reported.

Deviation(s) from core definition(s)/comment(s):

Question 13:   What type of offences were committed by persons (by gender: Male, Female, Not Stated, Total) admitted under a custody sentence?
Criminal Code

  • Against the person (i.e. murder, attempted murder, sexual offences, wounding, etc.)
  • Against the property (i.e. break/enter, theft, etc.)
  • Impaired Driving
  • Other Criminal Code

Federal Statutes

  • Drug offences
  • Other federal statutes

Provincial Statutes

  • Liquor offences
  • Other provincial statutes

Municipal By-Laws
Not Stated
Total

Unit of Count: (check off those that apply)

  • Most serious offence
  • Most serious disposition
  • Multiple charges
  • Other, specify:

Core Definition(s):

  1. Inmate Status on Admission - See Question 9.
  2. Offence(s): (i.e. C.C., Fed. Stat., Prov. Stat., Mun. By-Law) - Please provide as much information as possible on offence(s) at time of admission and indicate the unit of count (i.e. most serious offence, multiple charges, most serious disposition, etc.).

Deviation(s) from core definition(s)/comment(s):

Question 14: How many of the (sentenced) offenders admitted during the year had served a jail or prison sentence previously? Answer Yes, No, unknown (with a number) for previous Incarcerations, for each of the following:

  • Male
  • Female
  • Not Stated
  • Total

Core Definition(s):

  1. Gender - See Question 10
  2. Previous Incarceration - This question is purposely stated at a general level and does not only refer to previous incarceration(s) in your province/territory. It simply asks about any previous incarceral sentences (provincial or federal) of which you may be aware.
    Detention in police holding/lock-up facilities (e.g., held in police custody – awaiting initial court appearance - prior to entering an institution in your province/territory as a remand admission) does not count as a previous jail or prison sentence.

Deviation(s) from core definition(s)/comment(s):

Question 15:   A) How many fine defaulters were admitted during the year? B) How many admissions were there during the year for intermittent sentences? (Indicate number for each of the following categories).

  • Male
  • Female
  • Not Stated
  • Total

Core Definition(s):

  1. Admissions (excluding transfers) - See Question 9.
  2. Fine Default Admissions - As a selected category of sentenced admissions this term refers to the number of persons admitted to custody who, if their original sentence of fine had been paid, would not be in custody.
  3. Intermittent Sentence - Refers to a sentence to custody which is to be served periodically over an extended period of time (i.e. weekend only or selected days of the week).
  4. Gender - See Question 10.

Deviation(s) from core definition(s)/comment(s):

Question 16:   For those offenders admitted under sentence during the year, what was their aggregate sentence length? Please indicate number (admissions) by sex (Male, Female, Not stated, Total).  If your data are not compatible with the categories below, please provide the most detailed sentence length breakdown possible.
Aggregate Sentence:

  • 1 to 7 days
  • 8 to 14 days
  • 15 to 29 days
  • 30 to 31 days (1 month)
  • 32 to 89 days
  • 90 to 92 days (3 months)
  • 93 to 179 days
  • 180 to 184 (6 months)
  • 185 to 364 days
  • 365 to 366 days (1 year)
  • 367 to 729 days (2 yrs less one day)
  • 730 days and over (2 years or more)
  • Not stated
  • Total sentenced admissions (excluding transfers)
  • Mean sentence length - excluding sentences of 2 years and more (based on micro data)
  • Median sentence length - excluding sentences of 2 years and more (based on micro data)

Core Definition(s):

  1. Aggregate Sentence - Refers to the length of time in days, months or years to be served in custody as specified in the court order.
    Aggregate sentence length is not equivalent to time served in custody - the effect of remission and conditional release such as parole result in smaller amounts of time served when compared to the original sentence length.
    For multiple sentences, count the longest sentence if concurrent.
    If consecutive, then report the sum of the consecutive sentences. In the case of a revocation from conditional release, the amount of time to be served is the remnant of the original aggregate sentence if an additional offence has not been committed.
  2. Gender - See Question 10

Deviation(s) from core definition(s)/comment(s):

Question 17:   For those offenders released during the year, how much time was served in custody prior to release?  What was their inmate status upon release? (Indicate Inmate Status on Release: Sentenced, Remand, Other temporary detention, by gender (Male, Female, Not Stated, Total) for each of the following lengths of time served.  If your data are not compatible with the categories below, please provide the most detailed sentence length breakdown possible.

Time Served:

  • 1 to 7 days
  • 8 to 14 days
  • 15 to 29 days
  • 30 to 31 days (1 month)
  • 32 to 89 days
  • 90 to 92 days (3 months)
  • 93 to 179 days
  • 180 to 184 (6 months)
  • 185 to 364 days
  • 365 to 366 (1 year)
  • 367 to 729 days
  • 730 days and over (2 years or more)
  • Not stated
  • Total releases (excluding transfers out)
  • Mean time served (based on micro data)
  • Median time served (based on micro data)

Core Definition(s):

  1. Inmate Status on Release- Refers to a status at time of discharge. If an inmate returns to court and is re-admitted under a new status and subsequently released from custody during the year, count two releases and indicate the amount of time spent under each status.
  2. Time Served - Refers to the total length of time, measured in days, months or years actually served by each discharge from custody. All releases, excluding transfers, are to be included.
  3. Total Releases - Refers to all types of release except transfers out.

Deviation(s) from core definition(s)/comment(s):

Question 18:   How many offenders died during the year and what were the reasons for their death? (Indicate the number of Inmate Deaths for each of the following categories: In custody, Not in custody but on-register, Total on-register)

  • Suicide
  • Murder
  • Accidental
  • Legal intervention (i.e. killed by authorities while committing an offence, i.e. hostage taking incident, escape, etc.)
  • Natural Causes
  • Other
  • Not Stated
  • Total offender deaths

Core Definition(s):

  1. Inmate Death - Refers to all inmate deaths which occurred both within the confines of a correctional facility as well as those offenders who were on the institutional registers but were not in custody at the time of death. 

Deviation(s) from core definition(s)/comment(s):

Part II
Privately Operated Adult Custodial Services

Question 19: Does your jurisdiction utilise privately operated facilities to house offenders?  Check all that apply.

To serve a custodial sentence:

  • Yes
  • No

Prior to release from provincial custody:

  • Temporary Absence
  • Day Parole
  • Other, specify:

Upon release from provincial custody:

  • Full Parole
  • Probation
  • Other, specify:

For other reasons:

  • Treatment (i.e. alcohol/drug)
  • Other, specify:

No, do not complete Part II questionnaire.

Core Definition(s):

  1. Private Facility - Refers to all facilities operated by employees from the private sector under a contractual agreement with the provincial government or federal/provincial governments combined. Private facilities provide a wide range of services across jurisdictions. For example, they may house: short-term sentenced offenders; inmates released on a temporary absence, day parole or full parole; or offenders in need of special treatment, etc.

Deviation(s) from core definition(s)/comment(s):

Question 20:
A) How many privately operated facilities were utilised by your jurisdiction during the year?  Please give a brief description of the services provided.

Total number of facilities in operation at year-end (i.e. March 31st, 2009)
Are these facilities included in the total facilities reported in Question 1 (Part 1)?

  • Yes
  • No

Total number of bed-spaces reserved for provincial offenders in privately-operated facilities
Are these bed-spaces included in the total bed-spaces reported in Question 3 (Part 1)

  • Yes
  • No

B) What was the security level of privately-operated adult custodial facilities in operation at year-end? (Please answer with a number for each of the following categories)

Security Level:

  • Secure facilities (maximum and medium)
  • Open facilities (minimum)
  • Multilevel (secure and open)
  • Other(s), specify:

Total facilities in operation at year-end (i.e. March 31, 2009)

C) Did these facilities also provide accommodation for federal offenders?

  • Yes
  • No

Total number of contractual agreements:
Brief description of services provided:

Core Definition(s):

  1. Private Facility - See question 19.

Deviation(s) from core definition(s)/comment(s):

Question 21: What was the average number (i.e. average count) of provincial offenders detained in privately operated custodial facilities during the year?

Average Count  (number)

Select one of the following:

  • 365 time points were used in the calculation.
  • __ time points were used in the calculation. (indicate number)

Are these counts included in the custodial average counts reported in Question 5 (Part I)?

  • Yes
  • No

Core Definition(s):

  1. Private Facility - See Question 19.
  2. Average Count - Average counts should be derived from daily-midnight counts and refer to the number of offenders physically inside the facility at the time the count is taken.  If daily counts are not available, use the most frequent time interval available and indicate the number of points used.

Deviation(s) from core definition(s)/comment(s):

Question 22: How many provincial offenders were admitted to privately operated facilities during the year? (Indicate number of offenders and specify type of admission)

Total Number of Admissions:

Are these admissions included in the custodial admission numbers reported in Question 9 (Part I)?

  • Yes
  • No

Core Definition(s):

  1. Private Facility - See question 19.
  2. Admissions to Private Facility - Include all types of admissions. Please provide the most detailed listing available for all types of admissions.

Deviation(s) from core definition(s)/comment(s):

Part III
Adult Non-Custodial Services

Question 23: Were non-custodial supervisory services provided through contracted agencies at any time during the year? (Check those that apply)

  • No
  • Yes - briefly explain the extent to which contracted services were utilized (e.g. caseload, etc.):
    • Average caseload
    • Select one of the following:
      • 365 time points were used in the calculation.
      • Number of time points used in the calculation. (indicate number)

Core Definition(s):

  1. Contracted Agency - Refers to all agencies operated by employees from the private sector under a contracted agreement with the provincial government or federal and provincial governments combined.
  2. Average Caseload - The average caseload should be derived from daily counts of offenders under supervision; however, if daily counts are not available, use the shortest time interval available (i.e., week, month) or an estimate, and indicate the method of count used.

Deviation(s) from core definition(s)/comment(s):

Question 24: How many probation/parole offices were in operation during the year? (Indicate the name, date opened and date closed for each office)

Probation/Parole Office(s):

  • Number in operation at the beginning of the year (i.e. April 1, 2008)
  • New offices opened during 2008/2009 (Indicate Name, Date Opened)
  • Offices permanently closed during 2008/2009 (Indicate Name, Date Closed)
  • Number in operation at year-end (i.e. March 31st, 2009)

Core Definition(s):

  1. Fiscal Year - April 1, 2008 to March 31, 2009.
  2. Probation/Parole Office - Refers to facilities operated by the provincial government agency responsible for the delivery of adult community supervisory services in your jurisdiction and staffed by government employees.

Deviation(s) from core definition(s)/comment(s):

Question 25: Which client populations are supervised by probation/parole officers in your jurisdiction? (Please check all that apply)

  • Inmates temporarily released from custody (i.e., temporary absence, day parole)
  • Probation
  • Conditional sentence
  • Full parole
  • Federal offenders released on parole or statutory release
  • Other, specify:

Core Definition(s):

  1. Probation/Parole Office - See Question 24
  2. Population Supervised
    • Inmates temporarily released from custody - Refers to those inmates who have been temporarily released from custody for various reasons, on day parole or a temporary absence.
    • Probation - Refers to a type of court disposition imposed on an individual which is served in the community and under conditions of supervision. A probation order may be given in conjunction with a suspended sentence, a conditional discharge, a fine or in conjunction with a jail sentence.
    • Conditional sentence – Refers to a new type of community-based alternative to imprisonment as stated in the Sentencing reform Bill (C-41). If certain legal criteria are fulfilled, a judge may sentence to a conditional term of imprisonment an offender who would otherwise have been sent to prison. According to the terms of the conditional sentence, the offender will serve the term of imprisonment in the community provided that he/she abides by conditions imposed by the court as part of the conditional sentence order. If the offender violates these conditions, he/she may be sent to prison to serve the balance of that sentence.
    • Full Parole - A form of conditional release from custody whereby an inmate who is considered eligible may be released, at a time considered appropriate by a parole board, to serve the balance of a sentence under supervision in the community subject to stated conditions.
    • Statutory Release - Statutory release allows most federally sentenced offenders who have not been granted parole to serve the final third of their sentences in the community under supervision and under conditions of release like those imposed on offenders released on full parole.

Deviation(s) from core definition(s)/comment(s):

Question 26:
This question was deleted

Question 27: How many clients were admitted to community supervision during the year and what was their status?

Population Supervised

  • Inmates temporarily released from custody (e.g. day parole)
  • Probation
  • Conditional Sentence
  • Fine Option Program
  • Community Service Orders
  • Full Parole*
  • Other(s), specify:
  • Total admissions

*Includes about ___ federal inmates released to full parole and mandatory supervision and supervised by a provincial officer.

Core Definition(s):

  1. Population Supervised - See Question 25.
  2. Admission/Intake to Community Supervision - Total number of processed entries to community supervision during the year should be included, regardless of degree of supervision. Inmates released from provincial facilities to parole under the supervision of a federal officer should not be counted as parole admissions. Cases carried over from the previous year should also be excluded.
  3. Fine Option Program - This program provides work service as an alternative to payment of a fine.
  4. Community Service Orders - A sentencing alternative/option, granted as a condition to a probation order, which requires offenders to perform community services for an individual or non-profit organizations.

Deviation(s) from core definition(s)/comment(s):

Question 28: What was the gender of persons admitted to community supervision? (Specify Gender: Male, Female, Not Stated, and Total Number of Admissions for each of the following categories of Population Supervised)

Population Supervised

  • Probation
  • Full Parole (Provincial Parole if applicable.)
  • Conditional Sentence
  • F.O.P. (Fine Option Program)
  • C.S.O. (Community Service Orders)
  • Other (Includes other specified and inmate temporarily released from custody (e.g. day parole), Specify: F.O.P. - Fine Option Program. C.S.O. - Community Service Orders.)
  • Total

Core Definition(s):

  1. Population Supervised - See Question 25.
  2. Admission/Intake to Community Supervision - See Question 27.

Deviation(s) from core definition(s)/comment(s):

Question 29: What was the ethnic background of persons admitted to community supervision? Specify Ethnicity (Aboriginal, Non-Aboriginal, Not Stated, and the Total number of Admissions) for each of the following categories of Population Supervised.

Population Supervised

  • Probation
  • Full Parole (Provincial Parole if applicable.)
  • Conditional Sentence
  • F.O.P. (Fine Option Program)
  • C.S.O. (Community Service Orders)
  • Other (Includes other specified and inmate temporarily released from custody (e.g. day parole), Specify: F.O.P. - Fine Option Program. C.S.O. - Community Service Orders.)
  • Total

Core Definition(s):

  1. Population Supervised - See Question 25.
  2. Admission/Intake to Community Supervision - See Question 27.
  3. Ethnicity - Native refers to all North American Indians, Metis, Eskimo, Inuit; treaty and non-treaty Indians; status and non-status Indians.

Deviation(s) from core definition(s)/comment(s):

Question 30: What was the age of persons admitted to community supervision? If your data is not compatible with these categories (Probation, Full Parole*, Conditional Sentence, F.O.P (1), C.S.O (1), Other**, Total), please provide as much detail as possible.

Age of person admitted:

  • Less than 16
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25 to 29
  • 30 to 34
  • 35 to 39
  • 40 to 44
  • 45 to 49
  • 50 and over
  • Not Stated
  • Total admissions

Mean age (based on micro data)
Median age (based on micro data)

*Provincial Parole if applicable.
**Includes other specified and inmate temporarily released from custody (e.g. day parole)
**Specify

(1) F.O.P. - Fine Option Program.
C.S.O. - Community Service Orders.

Core Definition(s):

  1. Population Supervised - See Question 25.
  2. Admission/Intake to Community Supervision - See Question 27.
  3. Age - Refers to age of person on admission to community supervision, calculated either from date of birth or as self-reported.

Deviation(s) from core definition(s)/comment(s):

Question 31: What types of offences were committed by persons admitted to probation supervision? (Specify gender: Male, Female, Not Stated, Total, for each of the following types of offence)

Type of offence:
Criminal Code   

  • Against the person (i.e. murder, attempted murder, sexual offences, wounding, etc.)
  • Against the property (i.e. break/enter, theft, etc.)
  • Impaired Driving
  • Other Criminal Code

Federal Statutes

  • Drug offences
  • Other federal statutes

Provincial Statutes

  • Liquor offences
  • Other provincial statutes

Municipal By-Laws
Not Stated
TOTAL

Core Definition(s):

  1. Probation - See Question 25.
  2. Offence(s) - (i.e. C.C., Fed. Stat., Prov. Stat., Mun. By-Law) - Please provide as much information as possible on Offence(s) at time of admission to probation supervision.

Deviation(s) from core definition(s)/comment(s):

Question 32: For offenders admitted to probation supervision during the year what was the probation order length?   If your data are not compatible with the categories below, please provide the most detailed breakdown possible.

Probation Order Length:

  • Less than 3 months
  • 3 months
  • More than 3 and less than 6 months
  • 6 months
  • More than 6 and less than 12 months
  • 12 months
  • More than 12 and less than 18 months
  • 18 months
  • More than 18 and less than 24 months
  • 24 months
  • Over 24 months
  • Not stated
  • Total probation admissions

Mean probation order length (based on micro data)
Median probation order length (based on micro data)

Core Definition(s):

  1. Probation - See Question 25.
  2. Probation Admissions/Intakes - Refers to all admissions to probation during the year, regardless of degree of supervision. Includes prison plus probation sentences when the offender was released from custody during the year to serve the remainder of his/her sentence on probation.
  3. Probation Order Length - Refers to the actual amount of time to be served on probation as specified in the probation order rather than the actual amount of time spent on probation prior to being discharged.

Deviation(s) from core definition(s)/comment(s):

Question 33: For those offenders whose probation supervision order was terminated during the year, how much time was actually spent under supervision? (Indicate Successful Completion and Total Completions).  If your data are not compatible with the categories below, please provide the most detailed breakdown possible.

Time Served on Probation

  • Less than 3 months
  • 3 months
  • More than 3 and less than 6 months
  • 6 months
  • More than 6 and less than 12 months
  • 12 months
  • More than 12 and less than 18 months
  • 18 months
  • More than 18 and less than 24 months
  • 24 months
  • Over 24 months
  • Not stated
  • Total probation discharges

Core Definition(s):

  1. Probation - See Question 25.
  2. Time Served on Probation - Refers to the amount of time actually served on probation rather than the amount of time specified to be served on the probation order.
  3. Successful Completions - Refers to the total number of terminations of probation supervision without incident or arrest during the term of the order.
  4. Total Completions - Refers to the number of terminations successfully completed or not (i.e. breach of probation).

Deviation(s) from core definition(s)/comment(s):

Question 34: For those jurisdictions which operate their own provincial parole board, what was the parole grant rate?  (Specify whether it was Day parole or Full parole)

Parole Hearings

  • Parole granted
  • Parole denied
  • Parole deferred*
  • Total parole hearings

* Not eligible or inmates not available for interview, etc.

Core Definition(s):

  1. Provincial Parole Board - These boards have the responsibility and authority for the conditional release of inmates serving provincial sentences within their respective jurisdiction. The National Parole Board has the authority to grant full parole and day parole to both federal and provincial inmates in the provinces/territories where no provincial board exists.   A full parole is the full-time release of an inmate to serve the balance of his/her sentence in the community until its expiry date. A day parole is granted to a potential candidate for full parole. While on day parole, the inmate must return to the institution at regular intervals.
  2. Parole Hearings - Total cases heard by the Board regardless of automatic reviews or formal applications.

Deviation(s) from core definition(s)/comment(s):

Question 35: For those jurisdictions which operate their own provincial parole board, what was the full parole and day parole success rate? (Specify whether it was Day parole or Full parole)

Reason for Termination

  • Regular expiry
  • Revocation
  • Termination of day parole
  • Other(s), specify:
  • Total

Core Definition(s):

  1. Provincial Parole Board - See Question 34.

Deviation(s) from core definition(s)/comment(s):

The Youth in Transition Survey (YITS) - Cycle 6

Cohort A - Education above High School (Institution Roster)

Section: Entry

Variable Name: RecordID
Position: 1
Length: 10

Respondent identification, sequenced from 1 to end.

Variable Name: INST_ID
Position: 11
Length: 1

This number given to the institution corresponds to the order in which the respondent reported it.

Allowed values: 1 : 4

Table 1
  Response FREQ WTD
1 : 4 Institution number 5,990 N/A
Total 5,990 N/A

Coverage: Respondents with at least one post-secondary institution.

Section: Education and Training Above High School

Variable Name: H6Q227
Position: 12
Length: 2

In order to start at (Institution name), did you move ...?

Table 2
  Response FREQ WTD
01 to another country 72 N/A
02 to another province 266 N/A
03 to another city 299 N/A
04 within the same city 61 N/A
05 Did not move 1,443 N/A
96 Valid skip 3,849 N/A
Total 5,990 N/A

Coverage: Respondents who reported starting a new eligible post-secondary program taken between January 2008 and December 2009.
Note: H12
Fill table variable name: ^NameInst.

Section: Derived Variables

Variable Name: DSAINMD6
Position: 14
Length: 2

Derived variable: Date (month) respondent started post-secondary education at this institution, prior to January 2010.

Table 3
  Response FREQ WTD
01 January 496 N/A
02 February 72 N/A
03 March 54 N/A
04 April 58 N/A
05 May 133 N/A
06 June 85 N/A
07 July 62 N/A
08 August 404 N/A
09 September 3,703 N/A
10 October 120 N/A
11 November 68 N/A
12 December 58 N/A
96 Valid skip 656 N/A
99 Not stated 21 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: C5OPENI, IEF, DSPRMD6, DSPRYD6, (DSAINMD5 and DSAINYD5 from cycle 5).

Indicates the date a respondent started a post-secondary program at this institution either on a full-time or a part-time basis prior to January 2010.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondent's participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: DSAINYD6
Position: 16
Length: 4

Derived variable: Date (year) respondent started post-secondary education at this institution, prior to January 2010.

Allowed values: 1992 : 2009

Table 4
  Response FREQ WTD
2000 : 2009 Year started at this institution 5,313 N/A
9996 Valid skip 656 N/A
9999 Not stated 21 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: C5OPENI, IEF, DSPRMD6, DSPRYD6, (DSAINMD5 and DSAINYD5 from cycle 5).

Indicates the date a respondent started a post-secondary program at this institution either on a full-time or a part-time basis prior to January 2010.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondent's participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: DLINMD6
Position: 20
Length: 2

Derived variable:  Date (month) respondent was last at this institution between January 2008 and December 2009.

Table 5
  Response FREQ WTD
01 January 64 N/A
02 February 56 N/A
03 March 75 N/A
04 April 760 N/A
05 May 751 N/A
06 June 399 N/A
07 July 81 N/A
08 August 208 N/A
09 September 110 N/A
10 October 121 N/A
11 November 89 N/A
12 December 2,585 N/A
96 Valid skip 656 N/A
99 Not stated 35 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: DLPRMD6 and DLPRYD6.

Indicates the date a respondent was last taking a post-secondary program at this institution either on a full-time or a part-time basis prior to January 2010.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondent's participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: DLINYD6
Position: 22
Length: 4

Derived variable:  Date (year) respondent was last at this institution between January 2008 and December 2009.

Allowed values: 2008 : 2009

Table 6
  Response FREQ WTD
2008 : 2009 Year last at institution 5,304 N/A
9996 Valid skip 656 N/A
9999 Not stated 30 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: DLPRMD6 and DLPRYD6.

Indicates the date a respondent was last taking a post-secondary program at this institution either on a full-time or a part-time basis prior to January 2010.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondent's participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: HLATTD6
Position: 26
Length: 1

Derived variable:  Post-secondary status at this institution as of December 2009.

Table 7
  Response FREQ WTD
1 Graduate, continuer 350 N/A
2 Graduate, non-continuer 2,563 N/A
3 Continuer 1,982 N/A
4 Leaver 428 N/A
6 Valid skip 656 N/A
9 Not stated 11 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: C5OPENI, IEF, PSILNGID, PSPLNGID, CLGPRD6, H6Q102 and HLATTD5 (cycle 5).

Category <1> includes respondents who have graduated from a post-secondary program and were attending an additional post-secondary program at the same institution in December 2009.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondent's participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: NEPRPID6
Position: 27
Length: 1

Derived Variable: Number of eligible post-secondary programs taken at this institution between January 2008 and December 2009.

Allowed values: 1 : 3

Table 8
  Response FREQ WTD
1 : 3 Number of eligible programs 5,334 N/A
6 Valid skip 656 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variable PEF.

Programs were checked for eligibility. To be eligible, a program must be above the high school level, towards a diploma, certificate or degree, take at least three months to complete, and started prior to January 2010.  Refers to the total number of programs taken in each institution, where the number of programs does not exceed the limit.  Thus, 3 programs are collected for institutions 1 and 2, 2 programs for institution 3, and 1 program for institution 4.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondents participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: DLFINMD6
Position: 28
Length: 2

Derived variable: Date (month) respondent was last taking post-secondary education at this institution on a full-time basis prior to January 2010.

Table 9
  Response FREQ WTD
01 January 78 N/A
02 February 38 N/A
03 March 55 N/A
04 April 774 N/A
05 May 693 N/A
06 June 343 N/A
07 July 66 N/A
08 August 181 N/A
09 September 101 N/A
10 October 97 N/A
11 November 62 N/A
12 December 2,070 N/A
95 Never at this institution on a full-time basis 665 N/A
96 Valid skip 656 N/A
99 Not stated 111 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: DLFPRMD6, DLFPRYD6, (DLFINMD5 and DLFINYD5 from cycle 5).

Indicates the date a respondent was last at this post-secondary institution on a full-time basis prior to January 2010.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondent's participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: DLFINYD6
Position: 30
Length: 4

Derived variable: Date (year) respondent was last taking post-secondary education at this institution on a full-time basis prior to January 2010.

Allowed values: 1992 : 2009

Table 10
  Response FREQ WTD
2003 : 2009 Year (last full-time basis)   4,558 N/A
9995 Never at institution on a full-time basis 665 N/A
9996 Valid skip 656 N/A
9999 Not stated 111 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: DLFPRMD6, DLFPRYD6,  (DLFINMD5 and DLFINYD5 from cycle 5).

Indicates the date a respondent was last at this post-secondary institution on a full-time basis prior to January 2010.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondent's participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: FPLIND6
Position: 34
Length: 1

Derived variable: Full-time or part-time student when last at this institution between January 2008 and December 2009.

Table 11
  Response FREQ WTD
1 Full-time 4,025  N/A
2 Part-time 1,250 N/A
6 Valid skip 656 N/A
9 Not stated 59 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: IEF, PEF, FPLPRD6, DLPRMD6 and DLPRYD6.

If two or more programs at the same institution have the same departure date, a respondent who attends at least one of the programs on a full-time basis will be listed in FPLIND6 as full-time.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondent's participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: TYPEID6
Position: 35
Length: 2

Derived variable: Type of post-secondary institution.

Table 12
  Response FREQ WTD
01 A university 3,471 N/A
02 A university college (may grant university degrees) 237  N/A
03 A community college or CEGEP 920  N/A
04 A publicly-funded technical institute, or a trade/vocational school 293  N/A
05 A private business school or private training institute 337 N/A
06 A Quebec secondary school or school board 0  N/A
07 Another school above high school 49 N/A
96 Valid skip 656 N/A
99 Not stated 27 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q219, TYPEID5 (cycle 5) and PSILNGID.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondent's participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: PSCMD6
Position: 37
Length: 8

Derived variable: Campus code.

Allowed values: 00000001 : 99999994

Table 13
  Response FREQ WTD
10001000 : 59082000 Campus code 4,191 N/A
99999996 Valid skip 843 N/A
99999999 Not stated 956 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education in Canada between January 2008 and December 2009.
Note: This variable was derived from the variables: PSPROVD6, INSCDD6, H6Q225, PSCMD5 (cycle 5), IEF and PSILNGID.

Variable Name: PSPROVD6
Position: 45
Length: 2

Derived variable: Province of post-secondary institution.

Table 14
  Response FREQ WTD
10 Newfoundland 302 N/A
11 Prince Edward Island 161 N/A
12 Nova Scotia 514 N/A
13 New Brunswick   327 N/A
24 Quebec 972 N/A
35 Ontario 1,033 N/A
46 Manitoba 384 N/A
47 Saskatchewan 351 N/A
48 Alberta 592 N/A
59 British Columbia 511 N/A
60 Yukon 0 N/A
61 Northwest Territories   0 N/A
62 Nunavut 0 N/A
76 United States 127 N/A
77 Other country (Outside Canada and the United States 60 N/A
96 Valid skip 656 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q221, PSPROVD5 (cycle 5), IEF and PSILNGID.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondent's participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: INSCDD6
Position: 47
Length: 5

Derived variable: Institution code.

Allowed values: 00001 : 99993

Table 15
  Response FREQ WTD
10001 : 59082 Institution code 4,501 N/A
99996 Valid skip 843 N/A
99999 Not stated 646 N/A
Total 5,990 N/A

Coverage: Respondents who took some post-secondary education in Canada between January 2008 and December 2009.
Note: This variable was derived from the variables: PSPROVD6, H6Q224, INSCDD5 (cycle 5), IEF and PSILNGID.

Variable Name: PSIPOSID
Position: 52
Length: 2

Post-secondary institution position identifier which identifies the cycle and position where the data in this cycle for this program was collected.

Allowed values: 61 : 64

Table 16
  Response FREQ WTD
61 : 64 Institution position identifier 5,990 N/A
Total 5,990 N/A

Coverage: Respondents with at least one post-secondary institution.
Note: This variable was derived from the variable: INST_ID.

Variable Name: PSILNGID
Position: 54
Length: 2

Post-secondary institution longitudinal identifier which permits following an institution across cycles.

Allowed values: 21 : 64

Table 17
  Response FREQ WTD
21 : 64 Institution position identifier 5,990 N/A
Total 5,990 N/A

Coverage: Respondents with at least one post-secondary program at this institution.
Note: This variable was derived from the variables: PSILNGID (cycle 5), C5OPENI and INST_ID.

Variable Name: ICYID
Position: 56
Length: 1

Derived Variable: Post-secondary institution cycle identifier, which identifies the cycle where data was first collected for this institution.

Table 18
  Response FREQ WTD
1 Collection on this institution began in cycle 1 0 N/A
2 Collection on this institution began in cycle 2 5 N/A
3 Collection on this institution began in cycle 3 1,046 N/A
4 Collection on this institution began in cycle 4 943 N/A
5 Collection on this institution began in cycle 5 1,855 N/A
6 Collection on this institution began in cycle 6 2,141 N/A
Total 5,990 N/A

Coverage: Respondents with at least one post-secondary institution.
Note: This variable was derived from the variables: ICYID (cycle 5) and C5OPENI.

The Youth in Transition Survey (YITS) - Cycle 6 - Cohort A - Education above High School (Program Roster)

Cohort A - Education above High School (Program Roster)

Section: Entry

Variable Name: RecordID
Position: 1
Length: 10

Respondent identification, sequenced from 1 to end.

Variable Name: INST_ID
Position: 11
Length: 1

This number given to the institution corresponds to the order in which the respondent reported it.

Allowed values: 1 : 4

Table 1
 
  Response FREQ WTD
1 : 4 Institution number 6,570 N/A
Total 6,570 N/A

Coverage: Respondents with at least one post-secondary institution.

Variable Name: PROG_ID
Position: 12
Length: 1

This number given to the program within the institution corresponds to the order in which the respondent reported it.

Allowed values: 1 : 3

Table 2
 
  Response FREQ WTD
1 : 3 Program number 6,570 N/A
Total 6,570 N/A

Coverage: Respondents with at least one post-secondary program.

Section: Education and Training Above High School

Variable Name: H6Q110
Position: 13
Length: 2

What was the main reason you stopped before completing your (Diploma name) from (Institution name)?

Table 3
  Response FREQ WTD
01 Not enough money 28 N/A
02 Wanted to work 40 N/A
03 Marks too low 11 N/A
04 Didn't like it / not for me 42 N/A
05 To change schools or programs 26 N/A
06 Only missing a few credits, not worth continuing 6 N/A
07 Wanted a break 8 N/A
08 To travel 4 N/A
09 Pregnant / caring for own child 9 N/A
10 Own health 6 N/A
11 Other - Specify 31 N/A
96 Valid skip 6,358 N/A
99 Not stated 1 N/A
Total 6,570 N/A

Coverage: Respondents who were in an eligible post-secondary program in December 2007 (cycle 5), but were no longer in this program between January 2008 and December 2009 and had not completed the requirements for the program by December 2007.
Note: Fill table variable names: ^INFO.H18A, ^INFO.HT5.

Variable Name: H6Q111
Position: 15
Length: 1

Do you have plans to complete your (Diploma name) from any school?

Table 4
  Response FREQ WTD
1 Yes, plan to complete it 94 N/A
2 Completed it 21 N/A
3 No plans to complete it 93 N/A
6 Valid skip 6,358 N/A
7 Don't know 3 N/A
9 Not stated 1 N/A
Total 6,570 N/A

Coverage: Respondents who were in an eligible post-secondary program in December 2007 (cycle 5), but were no longer in this program between January 2008 and December 2009 and had not completed the requirements for the program by December 2007.
Note: H43A
Fill table variable name: ^INFO.H18A.

Variable Name: H6Q112
Position: 16
Length: 1

Would that be from (Institution name) or from another school?

Table 5
  Response FREQ WTD
1 This school 66 N/A
2 Another school 41 N/A
6 Valid skip 6,451 N/A
7 Don't know 8 N/A
9 Not stated 4 N/A
Total 6,570 N/A

Coverage: Respondents who were in an eligible post-secondary program in December 2007 (cycle 5), but were no longer in this program between January 2008 and December 2009, had not completed the requirements for the program by December 2007, and said that they had plans to complete this program or had already completed it.

Note: Fill table variable name: ^INFO.HT5.

Variable Name: H6Q210
Position: 17
Length: 2

What was the main reason you stopped before completing your (Diploma name) from (Institution name)?

Table 6
  Response FREQ WTD
01 Not enough money 4 N/A
02 Wanted to work 0 N/A
03 Marks too low 3 N/A
04 Didn't like it / Not for me 10 N/A
05 To change schools or programs 23 N/A
06 Only missing a few credits, not worth continuing 1 N/A
07 Wanted a break 0 N/A
08 To travel 0 N/A
09 Pregnant / Caring for own child 0 N/A
10 Own health 0 N/A
11 Other - Specify 4 N/A
96 Valid skip 6,525 N/A
Total 6,570 N/A

Coverage: Respondents who were in an eligible post-secondary program in December 2007 (cycle 5), were still at this institution for this program in cycle 6, but were no longer in this program in cycle 6, and had not completed the requirements for this program by December 2007.
Note: Fill table variable names: ^INFO.H18A, ^INFO.HT5.

Variable Name: H6Q211
Position: 19
Length: 1

Do you have plans to complete your (Diploma name) from any school?

Table 7
  Response FREQ WTD
1 Yes, plan to complete it 6 N/A
2 Completed it 3 N/A
3 No plans to complete it 36 N/A
6 Valid skip 6,525 N/A
Total 6,570 N/A

Coverage: Respondents who were in an eligible post-secondary program in December 2007 (cycle 5), were still at the same institution between January 2008 and December 2009, but no longer in this particular program, and had not completed the requirements of this program by December 2007.
Note: Fill table variable name: ^INFO.H18A.

Variable Name: H6Q211A
Position: 20
Length: 1

Would that be from (Institution name) or from another school?

Table 8
  Response FREQ WTD
1 This school 7 N/A
2 Another school 2 N/A
6 Valid skip 6,561 N/A
Total 6,570 N/A

Coverage: Respondents who were in an eligible post-secondary program in December 2007 (cycle 5), who were still at the same institution between January 2008 and December 2009, but no longer in this particular program, had not completed the requirements for this program by December 2007, and said that they had plans to complete this program or had already completed their program.
Note: Fill table variable name: ^INFO.HT5.

Variable Name: H6Q309
Position: 21
Length: 1

What is or was your main field of study or specialization?

Table 9
  Response FREQ WTD
1 Collect the name 2,420 N/A
3 Not yet decided 168 N/A
6 Valid skip 3,960 N/A
7 Don't know 14 N/A
8 Refused 4 N/A
9 Not stated 4 N/A
Total 6,570 N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009.
Note: H18B

Variable Name: H6Q310
Position: 22
Length: 1

Second main field/specialization of equal importance.

Table 10
  Response FREQ WTD
1 Collect the second name 262 N/A
3 No second main field of study/specialization of equal importance 2,147 N/A
6 Valid skip 4,128 N/A
9 Not stated 33 N/A
Total 6,570 N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009.
Note: H18C

Variable Name: H6Q319
Position: 23
Length: 2

What was the main reason you chose to take (this program/subject)?

Table 11
  Response FREQ WTD
01 Co-op/ work experience included 4 N/A
02 Make parents happy 8 N/A
03 Good at it/ get good marks 42 N/A
04 Better job opportunities 537 N/A
05 To make good money 77 N/A
06 Want job related to it 342 N/A
07 Personal interest in it 1,262 N/A
08 Needed for further education 130 N/A
09 Didn't know what else to take 26 N/A
10 Cost, program length, or location 18 N/A
11 Other - Specify 143 N/A
96 Valid skip 3,960 N/A
97 Don't know 10 N/A
98 Refused 4 N/A
99 Not stated 7 N/A
Total 6,570 N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009.
Note: Fill table variable name: ^H_Q319.

Variable Name: H6Q321
Position: 25
Length: 1

Did you ever change your main field of study or specialization for this diploma /certificate/ degree while at (Institution name)?

Table 12
  Response FREQ WTD
1 Yes 97 N/A
2 No 2,493 N/A
6 Valid skip 3,960 N/A
7 Don't know 8 N/A
8 Refused 5 N/A
9 Not stated 7 N/A
Total 6,570 N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009.
Note: H22
Fill table variable name: ^NameInst.

Variable Name: H6Q322
Position: 26
Length: 2

What is the main reason you changed it?

Table 13
  Response FREQ WTD
01 Marks too low 1 N/A
02 Couldn't get in before 2 N/A
03 Better job opportunities 23 N/A
04 Changed career plans 13 N/A
05 Didn't like it/ not for me 15 N/A
06 Interest in new subject 29 N/A
07 Someone recommended it 3 N/A
08 Other - Specify 11 N/A
96 Valid skip 6,453 N/A
99 Not stated 20 N/A
Total 6,570 N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009 and who changed their main field of study or specialization for their diploma / certificate / degree while at that institution.
Note: H23

Variable Name: H6Q333
Position: 28
Length: 2

According to your school, what is the normal length of time required to complete a (program name) when taken full-time?

Table 14
  Response FREQ WTD
01 Less than 3 Months 0 N/A
02 3 to 5 Months 124 N/A
03 6 to 7 Months 113 N/A
04 8 to 12 Months 459 N/A
05 13 to 17 Months 75 N/A
06 1 and half years up to less than 2 years 240 N/A
07 2 Years to less than 3 years 620 N/A
08 3 Years to less than 4 years 386 N/A
09 4 Years to less than 5 years 446 N/A
10 5 Years to less than 6 years 46 N/A
11 6 Years or more 5 N/A
12 Length varies 26 N/A
13 Program only offered part-time 36 N/A
96 Valid skip 3,960 N/A
97 Don't know 18 N/A
98 Refused 6 N/A
99 Not stated 10 N/A
Total 6,570 N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009.
Note: Fill table variable name: ^NamePgm.

Variable Name: H6Q334
Position: 30
Length: 2

According to your school, what is the normal length of time required to complete a (program name) when taken part-time?

Table 15
  Response FREQ WTD
01 Less than 3 Months 0 N/A
02 3 to 5 Months 8 N/A
03 6 to 7 Months 3 N/A
04 8 to 12 Months 4 N/A
05 13 to 17 Months 0 N/A
06 1 and half years up to less than 2 years 6 N/A
07 2 Years to less than 3 years 8 N/A
08 3 Years to less than 4 years 1 N/A
09 4 Years to less than 5 years 1 N/A
10 5 Years to less than 6 years 2 N/A
11 6 Years or more 1 N/A
12 Length varies 2 N/A
96 Valid skip 6,510 N/A
99 Not stated 24 N/A
Total 6,570 N/A

Coverage: Respondents who reported a new eligible post-secondary program taken between January 2008 and December 2009 that is only offered part-time.
Note: Fill table variable name: ^NamePgm.

Variable Name: H6Q361
Position: 32
Length: 2

In December 2009, what year of your education or training program were you enrolled in?

Allowed values: 01 : 09

Table 16
  Response FREQ WTD
01 : 08 Year enrolled in 2,078 N/A
96 Valid skip 4,463 N/A
97 Don't know 25 N/A
98 Refused 2 N/A
99 Not stated 2 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program in December 2009 that takes more than one year to complete.
Note: H29
Reference period: ^RefPerEng04.

Variable Name: H6Q362
Position: 34
Length: 2

In what month and year do you expect to finish the requirements for your (program name)?

Table 17
  Response FREQ WTD
01 January 70 N/A
02 February 18 N/A
03 March 58 N/A
04 April 652 N/A
05 May 432 N/A
06 June 285 N/A
07 July 76 N/A
08 August 153 N/A
09 September 81 N/A
10 October 36 N/A
11 November 16 N/A
12 December 377 N/A
14 Does not expect to complete 29 N/A
96 Valid skip 4,190 N/A
97 Don't know 94 N/A
98 Refused 1 N/A
99 Not stated 2 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program in December 2009.
Note: H30M
Fill table variable name: ^NamePgm.

Variable Name: H6Q363
Position: 36
Length: 4

Year.

Allowed values: 2009 : 2020

Table 18
  Response FREQ WTD
2009 : 2020 Year 2,301 N/A
9996 Valid skip 4,220 N/A
9997 Don't know 47 N/A
9999 Not stated 2 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program in December 2009.
Note: H30Y
Reference period: ^RefPerEng12.

Variable Name: H6Q400
Position: 40
Length: 2

What is the main reason you stopped before completing your (program name) from (Institution name)?

Table 19
  Response FREQ WTD
1 Not enough money 56 N/A
2 Wanted to work 69 N/A
3 Marks too low 18 N/A
4 Didn't like it / Not for me 83 N/A
5 To change schools or programs 103 N/A
6 Only missing a few credits, not worth continuing 21 N/A
7 Wanted a break 17 N/A
8 To travel 6 N/A
9 Pregnant / Caring for own child 19 N/A
10 Own health 20 N/A
11 Other - Specify 109 N/A
96 Valid skip 6,020 N/A
97 Don't know 3 N/A
98 Refused 5 N/A
99 Not stated 21 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009, who were no longer in the program as of December 2009, and had not completed the requirements of the program.
Note: H39
Fill table variable names: ^NamePgm, ^NameInst.

Variable Name: H6Q404
Position: 42
Length: 2

What year of your program were you enrolled in when you stopped taking it at this school?

Allowed values: 01 : 07

Table 20
  Response FREQ WTD
01 : 06 Year of program when stopped 457 N/A
96 Valid skip 6,081 N/A
97 Don't know 8 N/A
98 Refused 6 N/A
99 Not stated 18 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009, who were no longer in the program as of December 2009, and had not completed the requirements for the program, whose program duration is more than 12 months.
Note: H42

Variable Name: H6Q405
Position: 44
Length: 1

Do you have plans to complete your (program name) from any school?

Table 21
  Response FREQ WTD
1 Yes, plan to complete it 244 N/A
2 Completed it 23 N/A
3 No plans to complete it 237 N/A
6 Valid skip 6,020 N/A
7 Don't know 21 N/A
8 Refused 4 N/A
9 Not stated 21 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009, who were no longer in the program as of December 2009, and had not completed the requirements of the program.
Note: H43A
Fill table variable name: ^NamePgm.

Variable Name: H6Q406
Position: 45
Length: 1

Would that be from (Institution name) or from another school?

Table 22
  Response FREQ WTD
1 This school 169 N/A
2 Another school 84 N/A
6 Valid skip 6,282 N/A
7 Don't know 14 N/A
9 Not stated 21 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009, who were no longer in the program as of December 2009, had not completed the requirements of the program, and said that they had plans to complete it or had already completed it.
Note: H43B
Fill table variable name: ^NameInst.

Variable Name: H6Q407
Position: 46
Length: 2

About how many months did you stop for?

Table 23
  Response FREQ WTD
01 Less than one month 6 N/A
02 1 to 5 months 120 N/A
03 6 to 11 months 95 N/A
04 12 to 17 months 37 N/A
05 18 months or more 27 N/A
96 Valid skip 6,236 N/A
97 Don't know 1 N/A
99 Not stated 48 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009, who were still taking education in the program in December 2009 or had completed the requirements of their program as of the end of December 2009, and had stopped or interrupted their education in this program sometime between January 2008 and December 2009.
Note: H44

Variable Name: H6Q408
Position: 48
Length: 2

How much of your work towards this program from (Institution name) did you take as a part-time student? Was that...?

Table 24
  Response FREQ WTD
01 none of it 3,936 N/A
02 less than half 687 N/A
03 about half 182 N/A
04 more than half 99 N/A
05 all of it 827 N/A
96 Valid skip 777 N/A
97 Don't know 13 N/A
98 Refused 5 N/A
99 Not stated 44 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009.
Note: H45
Fill table variable name: ^NameInst.

Variable Name: H6Q417
Position: 50
Length: 2

Between January 2008 and December 2009, how much of this diploma, certificate, or degree did you take through correspondence or another type of distance education like television or video? Was that...?

Table 25
  Response FREQ WTD
01 none of it 4,660 N/A
02 less than half 517 N/A
03 about half 65 N/A
04 more than half 60 N/A
05 all of it 428 N/A
96 Valid skip 777 N/A
97 Don't know 2 N/A
98 Refused 5 N/A
99 Not stated 56 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009.
Note: H48A
Reference period: ^RefPerEng01.

Variable Name: H6Q418A
Position: 52
Length: 1

What methods of distance education did you use?...Television or radio broadcasts

Table 26
  Response FREQ WTD
1 Yes 22 N/A
2 No 1,044 N/A
6 Valid skip 5,437 N/A
7 Don't know 4 N/A
9 Not stated 63 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q418B
Position: 53
Length: 1

What methods of distance education did you use?...Videotapes or audio-cassettes

Table 27
  Response FREQ WTD
1 Yes 60 N/A
2 No 1,006 N/A
6 Valid skip 5,437 N/A
7 Don't know 4 N/A
9 Not stated 63 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q418C
Position: 54
Length: 1

Table 28
  Response FREQ WTD
1 Yes 43 N/A
2 No 1,023 N/A
6 Valid skip 5,437 N/A
7 Don't know 4 N/A
9 Not stated 63 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q418D
Position: 55
Length: 1

What methods of distance education did you use?...Telephone or Audio-conferencing (live)

Table 29
  Response FREQ WTD
1 Yes 53 N/A
2 No 1,013 N/A
6 Valid skip 5,437 N/A
7 Don't know 4 N/A
9 Not stated 63 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q418E
Position: 56
Length: 1

What methods of distance education did you use?...Internet or email

Table 30
  Response FREQ WTD
1 Yes 899 N/A
2 No 167 N/A
6 Valid skip 5,437 N/A
7 Don't know 4 N/A
9 Not stated 63 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q418F
Position: 57
Length: 1

What methods of distance education did you use?...Correspondence by regular mail

Table 31
  Response FREQ WTD
1 Yes 289 N/A
2 No 777 N/A
6 Valid skip 5,437 N/A
7 Don't know 4 N/A
9 Not stated 63 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q419
Position: 58
Length: 1

During the last 2 years, has your program (program name) included on-the-job experience, where you spent time in a work place?

Table 32
  Response FREQ WTD
1 Yes 2,346 N/A
2 No 3,379 N/A
6 Valid skip 777 N/A
7 Don't know 6 N/A
8 Refused 4 N/A
9 Not stated 58 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009.
Note: HQ49A
Fill table variable name: ^NamePgm.

Variable Name: H6Q420
Position: 59
Length: 2

Was this ...?

Table 33
  Response FREQ WTD
01 a Co-op program (alternating periods of study and paid work terms) 272 N/A
02 an Apprenticeship program 239 N/A
03 a Trade/vocational training program 75 N/A
04 another program (e.g., practicum, internship, clinical) 1,601 N/A
05 another program with a work placement 135 N/A
96 Valid skip 4,156 N/A
97 Don't know 24 N/A
99 Not stated 68 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 and whose program included on-the-job experience.
Note: HQ49B
One or more new categories, which were not present at the time of interview, were generated from frequency of responses to 'other specify' for this cycle.

Variable Name: H6Q430
Position: 61
Length: 2

What was the main reason you chose to participate in this work experience program?

Table 34
  Response FREQ WTD
01 Requirement of my program 1,912 N/A
02 Parents wanted me to 0 N/A
03 Good at it/to get good marks 3 N/A
04 Better job opportunities 134 N/A
05 To make good money 38 N/A
06 Wanted job related to it 58 N/A
07 Interested in subject 66 N/A
08 Better qualifies me for further university, college, or other education 29 N/A
09 Didn't know what else to take 0 N/A
10 Someone recommended it (such as a guidance counselor or friend) 5 N/A
11 Other - Specify 101 N/A
96 Valid skip 4,156 N/A
99 Not stated 68 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 and whose program included on-the-job experience.
Note: HQ49K

Variable Name: H6Q432
Position: 63
Length: 1

Did you obtain information in this program

... about future employers for students in your field of study?

Table 35
  Response FREQ WTD
1 Yes 1,831 N/A
2 No 503 N/A
6 Valid skip 4,156 N/A
7 Don't know 11 N/A
9 Not stated 69 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 and whose program included on-the-job experience.
Note: HQ62

Variable Name: H6Q433
Position: 64
Length: 1

Did you obtain information in this program

... about possible types of jobs?

Table 36
  Response FREQ WTD
1 Yes 2,075 N/A
2 No 265 N/A
6 Valid skip 4,156 N/A
7 Don't know 4 N/A
9 Not stated 70 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 and whose program included on-the-job experience.
Note: HQ63

Variable Name: H6Q434
Position: 65
Length: 1

Did you obtain information in this program

... about possible further education?

Table 37
  Response FREQ WTD
1 Yes 1,717 N/A
2 No 620 N/A
6 Valid skip 4,156 N/A
7 Don't know 7 N/A
9 Not stated 70 N/A
Total 6,570 N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 and whose program included on-the-job experience.
Note: HQ64

Section: Derived Variables

Variable Name: INELIGD6
Position: 66
Length: 2

Derived variable: An ineligibility flag indicating the reason why an open program and/or institution from cycle 5 was deemed ineligible in cycle 6.

Table 38
  Response FREQ WTD
01 Respondent denies being at institution in December 2007 15 N/A
02 Respondent not stated (dont' know/refused) if at institution in December 2007, but was not there in cycle 6 0 N/A
03 Respondent not stated (don't know/refused) if at institution in cycle 6 2 N/A
04 Respondent does not acknowledge (i.e., no, don't know/refused) taking education towards program in December 2007 4 N/A
05 Respondent was in program in December 2007, and has graduated from the program 468 N/A
06 Respondent was in program in December 2007, and has left the program 244 N/A
07 Respondent was in program in December 2007, however not stated (don't know/refused) if he/she met the requirements for the program 1 N/A
08 Respondent denies being in program in December 2007 27 N/A
09 Respondent not stated (don't know/refused) if in program in December 2007, but was not there in cycle 6 0 N/A
10 Respondent not stated (don't know/refused) if in program this cycle 0 N/A
96 Valid Skip 5,793 N/A
99 Not stated 16 N/A
Total 6,570 N/A

Coverage: Respondents with an open program/institution from cycle 5.
Note: This variable was derived from the variables: C5OpenI, IEF, C5OpenP, PEF, H6Q102, H6Q103, H6Q109, H6Q109A, H6Q111, H6Q112, H6Q203, H6Q204, H6Q209, H6Q211 and H6Q211A.

Variable Name: INELGHD6
Position: 68
Length: 1

Derived variable: Flag indicating whether or not an open program and/or institution from cycle 5 was deemed ineligible in cycle 6.

Table 39
  Response FREQ WTD
1 Ineligible 777 N/A
2 Eligible 5,793 N/A
Total 6,570 N/A

Coverage: Respondents with an open program/institution from cycle 5.
Note: This variable was derived from the variables: H6Q102, H6Q103, H6Q109, H6Q109A, H6Q111, H6Q112, H6Q203, H6Q204, H6Q209, H6Q211, H6Q211A, C5OPENI, IEF, C5OPENP and PEF.

Variable Name: LVPRD6
Position: 69
Length: 2

Derived variable: Level of post-secondary program.

Table 40
  Response FREQ WTD
02 Attestation of Vocational Specialization (AVS or ASP) 0 N/A
03 Private Business School or Training Institute Diploma or Certificate 291 N/A
04 Registered Apprenticeship program 86 N/A
05 College or CEGEP program 1,092 N/A
06 University transfer program at a college or CEGEP (for credits, university transfer diploma or Associate's Degree) 29 N/A
07 College post-diploma or graduate level program (college diploma or higher needed first) 33 N/A
08 University diploma or certificate BELOW Bachelor's (undergraduate level) 209 N/A
09 Bachelor's degree 2,634 N/A
10 First professional degree 142 N/A
11 Graduate-level diploma or certificate ABOVE Bachelor's, BELOW Master's 155 N/A
12 Master's degree 713 N/A
13 Ph.D. degree 122 N/A
20 Diploma, certificate or license from a professional association as in accounting, banking, or insurance 140 N/A
23 Other level of post-secondary 107 N/A
96 Valid skip 777 N/A
99 Not stated 40 N/A
Total 6,570 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q313, H6Q314a, H6Q315, H6Q317, INELGHD6, C5OPENP, PEF and LVPRD5 from cycle 5.
Category <23> refers to university and non-university level training or programs which are not captured in the other categories.

Variable Name: CLGPRD6
Position: 71
Length: 1

Derived variable: Post-secondary status in this program as of December 2009.

Table 41
  Response FREQ WTD
1 Graduate 2,864 N/A
2 Continuer 2,379 N/A
3 Leaver 535 N/A
6 Valid skip 777 N/A
9 Not stated 15 N/A
Total 6,570 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q336, H6Q372, INELGHD6, C5OPENP and PEF.

Variable Name: DSPRMD6
Position: 72
Length: 2

Derived variable: Date (month) respondent started this post-secondary program, prior to January 2010.

Table 42
  Response FREQ WTD
01 January 603 N/A
02 February 77 N/A
03 March 59 N/A
04 April 62 N/A
05 May 187 N/A
06 June 99 N/A
07 July 77 N/A
08 August 414 N/A
09 September 3,927 N/A
10 October 124 N/A
11 November 72 N/A
12 December 66 N/A
96 Valid skip 777 N/A
99 Not stated 26 N/A
Total 6,570 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q324, H6Q325, C5OPENP, PEF, INELGHD6, and (DSPRMD5 and DSPRYD5 from cycle 5).
Indicates the date within the reference period a respondent started a post-secondary program, either on a full-time or a part-time basis.

Variable Name: DSPRYD6
Position: 74
Length: 4

Derived variable: Date (year) respondent started this post-secondary program, prior to January 2010.

Allowed values: 1992 : 2009

Table 43
  Response FREQ WTD
2000 : 2009 Year started program 5,767 N/A
9996 Valid skip 777 N/A
9999 Not stated 26 N/A
Total 6,570 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q324, H6Q325, C5OPENP, PEF, INELGHD6, and (DSPRMD5 and DSPRYD5 from cycle 5).
Indicates the date within the reference period a respondent started a post-secondary program, either on a full-time or a part-time basis.

Variable Name: DLPRMD6
Position: 78
Length: 2

Derived variable: Date (month) respondent was last taking this post-secondary program between January 2008 and December 2009.

Table 44
  Response FREQ WTD
01 January 81 N/A
02 February 62 N/A
03 March 83 N/A
04 April 880 N/A
05 May 855 N/A
06 June 448 N/A
07 July 92 N/A
08 August 233 N/A
09 September 132 N/A
10 October 127 N/A
11 November 94 N/A
12 December 2,663 N/A
96 Valid skip 777 N/A
99 Not stated 43 N/A
Total 6,570 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q373, H6Q374, H6Q378, H6Q379, C5OPENP, PEF, INELGHD6 and CLGPRD6.
Indicates the date a respondent was last taking a post-secondary program, either on a full-time or a part-time basis. For post-secondary program graduates, this variable gives the date of graduation.

Variable Name: DLPRYD6
Position: 80
Length: 4

Derived variable: Date (year) respondent was last taking this post-secondary program between January 2008 and December 2009.

Allowed values: 2008 : 2009

Table 45
  Response FREQ WTD
2008 : 2009 Year last taking program 5,756 N/A
9996 Valid skip 777 N/A
9999 Not stated 37 N/A
Total 6,570 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q373, H6Q374, H6Q378, H6Q379, C5OPENP, PEF, INELGHD6 and CLGPRD6.
Indicates the date a respondent was last taking a post-secondary program, either on a full-time or a part-time basis. For post-secondary program graduates, this variable gives the date of graduation.

Variable Name: FPLPRD6
Position: 84
Length: 1

Derived variable: Full-time or part-time student when last in this program, between January 2008 and December 2009.

Table 46
  Response FREQ WTD
1 Full-time 4,394 N/A
2 Part-time 1,340 N/A
6 Valid skip 777 N/A
9 Not stated 59 N/A
Total 6,570 N/A

Coverage: Respondents who were taking a post-secondary program between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q349, H6Q383, H6Q402 and INELGHD6.

Variable Name: DLFPRMD6
Position: 85
Length: 2

Derived variable: Date (month) respondent was last taking this post-secondary program, on a full-time basis prior to January 2010.

Table 47
  Response FREQ WTD
01 January 93 N/A
02 February 40 N/A
03 March 58 N/A
04 April 872 N/A
05 May 776 N/A
06 June 379 N/A
07 July 72 N/A
08 August 199 N/A
09 September 119 N/A
10 October 100 N/A
11 November 64 N/A
12 December 2,069 N/A
95 Never in program on a full-time basis 837 N/A
96 Valid skip 777 N/A
99 Not stated 115 N/A
Total 6,570 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q336, H6Q349, H6Q372, H6Q373, H6Q374, H6Q383, H6Q378, H6Q379, H6Q402, H6Q408, H6Q414, H6Q415, C5OPENP, PEF, INELGHD6, and (DLFPRMD5 and DLFPRYD5 from cycle 5).

Variable Name: DLFPRYD6
Position: 87
Length: 4

Derived variable: Date (year) respondent was last taking this post-secondary program on a full-time basis prior to January 2010.

Allowed values: 1992 : 2009

Table 48
  Response FREQ WTD
2004 : 2009 Year last full-time 4,841 N/A
9995 Never in program on a full-time basis 837 N/A
9996 Valid skip 777 N/A
9999 Not stated 115 N/A
Total 6,570 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q336, H6Q349, H6Q372, H6Q373, H6Q374, H6Q383, H6Q378, H6Q379, H6Q402, H6Q408, H6Q414, H6Q415, C5OPENP, PEF, INELGHD6, and (DLFPRMD5 and DLFPRYD5 from cycle 5).

Variable Name: SIPRD6
Position: 91
Length: 1

Derived variable: For post-secondary programs which are ongoing or completed as of December 2009, whether respondent has stopped or interrupted their education between January 2008 and December 2009.

Table 49
  Response FREQ WTD
1 Yes, stopped or interrupted 286 N/A
2 No, did not stop or interrupt 4,930 N/A
6 Valid skip 1,326 N/A
9 Not stated 28 N/A
Total 6,570 N/A

Coverage: Respondents who took some post-secondary education in programs which are ongoing or completed.
Note: This variable was derived from the variables: H6Q367, H6Q384 and INELGHD6.
Respondents who stopped their post-secondary programs before completion (program leavers and unknowns), are not included in this variable.

Variable Name: AGEPSD6
Position: 92
Length: 2

Derived variable: Respondent's age at start of post-secondary program.

Allowed values: 00 : 25

Table 50
  Response FREQ WTD
15 : 25 Age at start of first program 5,767 N/A
96 Valid skip 777 N/A
99 Not stated 26 N/A
Total 6,570 N/A

Coverage: Respondents who were taking a post-secondary program between January 2008 and December 2009.
Note: This variable was derived from the variables: DSPRYD6, DSPRMD6, BYEARD6, BMONTHD6, INELGHD6 and AGED6.
Age may vary by one year because variable is sometimes calculated from year information only (and not using month information as may not have been reported by respondent).

Variable Name: NUMDURD6
Position: 94
Length: 3

Derived variable: Time spent taking a post-secondary program, as of December 2009.

Allowed values: 001 : 150

Table 51
  Response FREQ WTD
001 : 116 Number of months taking program 5,744 N/A
996 Valid skip 777 N/A
999 Not stated 49 N/A
Total 6,570 N/A

Coverage: Respondents who participated in a post-secondary program between January 2008 and December 2009.
Note: This variable was derived from the variables: DSPRYD6, DSPRMD6, DLPRMD6, DLPRYD6 and INELGHD6.

Variable Name: RSIPRD6
Position: 97
Length: 2

Derived variable: For programs in which respondents participated between January 2008 and December 2009, reason for stopping or interrupting program if the respondent stopped or interrupted their program.

Table 52
  Response FREQ WTD
01 Not enough money 43 N/A
02 Wanted to work 63 N/A
03 Marks too low 6 N/A
04 Didn't like it/Not for me 5 N/A
05 To change schools or programs 13 N/A
07 Wanted a break 27 N/A
08 To travel 16 N/A
09 Pregnant/Caring for own child 20 N/A
10 Own health 29 N/A
11 Other 64 N/A
96 Valid skip 6,256 N/A
99 Not stated 28 N/A
Total 6,570 N/A

Coverage: Respondents who took some post-secondary education in programs which are ongoing or completed and who have ever stopped or interrupted their studies.
Note: This variable was derived from the variables: H6Q368, H6Q385, SIPRD6 and INELGHD6.
This variable indicates the reason for the most recent interruption in the program between January 2008 and December 2009, if there were one or more interruptions.
Respondents who had stopped their educational programs before completion (leavers) are not included in RSIPRD6. The reasons why a leaver stopped their program before completion can be found in question H6Q400.

Variable Name: CIP1D6
Position: 99
Length: 5.2

Derived variable: Respondent's first main field of study or specialization.

Table 53
  Response FREQ WTD
01.00 : 60.02 CIP codes - 1st main field 5,398 N/A
89.99 Not codeable 134 N/A
99.96 Valid skip 777 N/A
99.99 Not stated 261 N/A
Total 6,570 N/A

Coverage: Respondents who had a valid post-secondary program.
Note: This variable was derived from the variables: H6Q309, H6Q341, H6Q345, INELGHD6, CLGPRD6 and CIP code.
Respondents who reported a main field of study or specialisation that could not be coded were assigned the code 89.99.

Variable Name: CIP1RD6
Position: 104
Length: 3

Derived variable: Respondent's first main field of study or specialization (primary grouping).

Table 54
  Response FREQ WTD
001 Personal Improvement and Leisure 4 N/A
010 Education 431 N/A
020 Visual and Performing Arts, and Communications Technologies 433 N/A
030 Humanities 920 N/A
040 Social and Behavioural Sciences, and Law 1,012 N/A
050 Business, Management and Public Administration 302 N/A
060 Physical and Life Sciences, and Technologies 158 N/A
070 Mathematics, Computer and Information Sciences 680 N/A
080 Architecture, Engineering and Related Technologies 131 N/A
090 Agriculture, Natural Resources and Conservation 961 N/A
100 Health, Parks, Recreation and Fitness 125 N/A
110 Personal, Protective and Transportation Services 153 N/A
120 Other 134 N/A
996 Valid skip 777 N/A
999 Not stated 261 N/A
Total 6,570 N/A

Coverage: Respondents who had a valid post-secondary program.
Note: This variable was derived from the variable: CIP1D6.

Variable Name: CIP2D6
Position: 107
Length: 5.2

Derived variable: Respondent's second main field of study or specialization.

Table 55
  Response FREQ WTD
01.01 : 55.01 CIP codes - 2nd main field 243 N/A
89.99 Not codeable 18 N/A
99.96 Valid skip 6,275 N/A
99.99 Not stated 34 N/A
Total 6,570 N/A

Coverage: Respondents who had a valid post-secondary program.
Note: This variable was derived from the variables: H6Q310, INELGHD6, CLGPRD6 and CIP coding.
Respondents who reported a main field of study or specialisation that could not be coded were assigned the code 89.99.

Variable Name: CIP2RD6
Position: 112
Length: 3

Derived variable: Respondent's second main field of study or specialization (primary grouping).

Table 56
  Response FREQ WTD
001 Personal Improvement and Leisure 1 N/A
010 Education 20 N/A
020 Visual and Performing Arts, and Communications Technologies 7 N/A
030 Humanities 46 N/A
040 Social and Behavioural Sciences, and Law 44 N/A
050 Business, Management and Public Administration 50 N/A
060 Physical and Life Sciences, and Technologies 20 N/A
070 Mathematics, Computer and Information Sciences 10 N/A
080 Architecture, Engineering and Related Technologies 15 N/A
090 Agriculture, Natural Resources and Conservation 4 N/A
100 Health, Parks, Recreation and Fitness 15 N/A
110 Personal, Protective and Transportation Services 10 N/A
120 Other 19 N/A
996 Valid skip 6,275 N/A
999 Not stated 34 N/A
Total 6,570 N/A

Coverage: Respondents who had a valid post-secondary program.
Note: This variable was derived from the variable: CIP2D6.

Variable Name: THEPSD6
Position: 115
Length: 5

Derived variable: Total time spent with an employer in a co-op, apprenticeship, trade/vocational training or another program (e.g. practicum, internship or clinical) for this program.

Allowed values: 00001 : 99993

Table 57
  Response FREQ WTD
00001 : 08064 Number of hours with employer 2,303 N/A
99996 Valid skip 4,156 N/A
99999 Not stated 111 N/A
Total 6,570 N/A

Coverage: Respondents who attended an eligible post-secondary program between January 2008 and December 2009 and participated in a program which included on the job experience and/or time spent in a workplace.
Note: This variable was derived from the variables: H6Q419, H6Q422, H6Q423, H6Q424, H6Q425, H6Q426, H6Q427, H6Q428, H6Q429 and INELGHD6.

Variable Name: OPSPD6
Position: 120
Length: 2

Derived variable: Chronological order of post-secondary programs attended by respondent during 2008 and 2009.

Table 58
  Response FREQ WTD
01 1st program 4,811 N/A
02 2nd program 835 N/A
03 3rd program 94 N/A
04 4th program 17 N/A
05 5th program 3 N/A
06 6th program 1 N/A
07 7th program 0 N/A
08 8th program 0 N/A
09 9th program 0 N/A
96 Valid skip 777 N/A
99 Not stated 32 N/A
Total 6,570 N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables : FPSPD6, NEPRCD6, INELGHD6, DSPRYD6, DSPRMD6 and PSPLNGID.
The derived variable orders the post-secondary programs a respondent has taken in this cycle from the earliest (first one taken) to the most recent.

Variable Name: PSPPOSID
Position: 122
Length: 4

Derived Variable: Post-secondary program position identifier which identifies the cycle and position where the data in this cycle for this program was collected.

Allowed values: 6101 : 6401

Table 59
  Response FREQ WTD
6101 : 6401 Program position identifier 6,570 N/A
Total 6,570 N/A

Coverage: Respondents with at least one post-secondary program.
Note: This variable was derived from the variables: INST_ID and PROG_ID.

Variable Name: PSPLNGID
Position: 126
Length: 4

Derived Variable: Post-secondary program longitudinal identifier which permits following a program across cycles.

Allowed values: 2101 : 6401

Table 60
  Response FREQ WTD
2101 : 6401 Program longitudinal identifier 6,570 N/A
Total 6,570 N/A

Coverage: Respondents with at least one post-secondary program.
Note: This variable was derived from the variables: C5OPENI, PSPLNGID (cycle 5), INST_ID and PROG_ID.

Variable Name: ICYID
Position: 130
Length: 1

Derived Variable: Post-secondary institution cycle identifier, which identifies the cycle where data was first collected for this institution.

Table 61
 
  Response FREQ WTD
1 Collection on this institution began in cycle 1 0 N/A
2 Collection on this institution began in cycle 2 6 N/A
3 Collection on this institution began in cycle 3 1,228 N/A
4 Collection on this institution began in cycle 4 1,111 N/A
5 Collection on this institution began in cycle 5 1,999 N/A
6 Collection on this institution began in cycle 6 2,226  N/A
Total 6,570 N/A

Coverage: Respondents with at least one post-secondary institution.
Note: This variable was derived from the variables: ICYID (cycle 5) and C5OPENI.

Preliminary Weighting Diagram of the Consumer Price Index - 2009 basket at 2009 prices, Canada, Provinces, Whitehorse, and Yellowknife

Note: The weighting diagram of the 2009 CPI basket will be finalized on June 29. In the meanwhile, small corrections or adjustments may be made to the weights. Figures may not add up to 100 due to rounding.

  Canada Newfoundland and Labrador Prince Edward Island Nova Scotia New Brunswick Quebec Ontario Manitoba Saskatchewan Alberta British Columbia Whitehorse Yellowknife
All Items 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00
Food 16.03 16.67 15.82 16.66 16.72 19.12 14.73 15.92 14.58 15.10 15.88 16.57 14.96
Food purchased from stores 11.15 13.00 12.64 12.09 12.16 13.68 10.32 10.74 9.70 10.08 10.47 11.29 10.48
Meat 1.97 2.69 1.99 2.02 2.28 2.52 1.79 2.02 1.72 1.84 1.71 2.00 1.86
Fresh or frozen meat (excluding poultry) 0.84 1.15 0.74 0.79 0.86 1.22 0.74 0.83 0.52 0.78 0.63 0.85 0.79
Fresh or frozen beef 0.55 0.81 0.58 0.54 0.57 0.78 0.50 0.56 0.32 0.53 0.39 0.56 0.52
Fresh or frozen pork 0.24 0.33 0.16 0.23 0.28 0.34 0.20 0.26 0.17 0.22 0.18 0.24 0.22
Other fresh or frozen meat (excluding poultry) 0.05 0.01 - 0.02 0.01 0.10 0.04 0.02 0.04 0.02 0.05 0.05 0.05
Fresh or frozen poultry meat 0.50 0.68 0.44 0.52 0.68 0.53 0.54 0.44 0.47 0.37 0.46 0.51 0.47
Fresh or frozen chicken 0.43 0.57 0.37 0.38 0.60 0.47 0.45 0.40 0.38 0.32 0.39 0.43 0.40
Other fresh or frozen poultry meat 0.07 0.11 0.07 0.13 0.08 0.06 0.08 0.04 0.08 0.05 0.07 0.07 0.07
Processed meat 0.63 0.86 0.80 0.72 0.74 0.76 0.51 0.74 0.73 0.70 0.62 0.64 0.60
Fish, seafood and other marine products 0.42 0.33 0.40 0.42 0.38 0.60 0.38 0.27 0.23 0.33 0.40 0.42 0.39
Fish 0.28 0.27 0.16 0.27 0.25 0.37 0.27 0.20 0.16 0.21 0.26 0.28 0.26
Seafood and other marine products 0.14 0.06 0.24 0.15 0.12 0.22 0.11 0.06 0.07 0.13 0.14 0.14 0.13
Dairy products and eggs 1.74 1.82 2.30 2.04 1.95 2.22 1.58 1.57 1.55 1.45 1.68 1.76 1.63
Dairy products 1.61 1.66 2.13 1.90 1.81 2.09 1.46 1.46 1.41 1.36 1.52 1.63 1.51
Fresh milk 0.47 0.58 0.83 0.71 0.67 0.60 0.44 0.41 0.40 0.34 0.42 0.48 0.44
Butter 0.07 0.03 0.12 0.07 0.08 0.11 0.06 0.08 0.08 0.03 0.08 0.07 0.07
Cheese 0.57 0.50 0.60 0.50 0.54 0.79 0.50 0.49 0.51 0.48 0.56 0.58 0.54
Ice cream and related products 0.13 0.13 0.19 0.18 0.14 0.14 0.12 0.13 0.12 0.14 0.09 0.13 0.12
Other dairy products 0.37 0.41 0.38 0.44 0.38 0.45 0.33 0.34 0.30 0.37 0.36 0.37 0.35
Eggs 0.13 0.16 0.17 0.14 0.14 0.13 0.12 0.11 0.14 0.09 0.16 0.13 0.12
Bakery and cereal products (excluding infant food) 1.83 2.10 2.30 1.98 2.01 2.28 1.71 1.88 1.51 1.55 1.69 1.85 1.72
Bakery products 1.11 1.27 1.40 1.12 1.19 1.53 1.05 1.07 0.82 0.89 0.90 1.12 1.04
Cereal products (excluding infant food) 0.71 0.83 0.90 0.86 0.81 0.75 0.66 0.81 0.69 0.65 0.79 0.72 0.67
Fruit, fruit preparations and nuts 1.27 1.29 1.33 1.21 1.32 1.54 1.25 1.05 1.01 1.08 1.21 1.29 1.19
Fresh fruit 0.79 0.75 0.81 0.69 0.77 0.95 0.80 0.65 0.63 0.67 0.74 0.80 0.75
Preserved fruit and fruit preparations 0.36 0.50 0.41 0.42 0.44 0.47 0.34 0.31 0.26 0.31 0.33 0.37 0.34
Nuts 0.11 0.05 0.11 0.10 0.11 0.12 0.11 0.08 0.12 0.11 0.14 0.12 0.11
Vegetables and vegetable preparations 1.16 1.16 1.06 1.11 1.17 1.49 1.06 0.97 0.93 1.06 1.15 1.18 1.09
Fresh vegetables 0.90 0.77 0.72 0.82 0.82 1.20 0.81 0.71 0.69 0.80 0.89 0.91 0.84
Preserved vegetables and vegetable preparations 0.27 0.39 0.34 0.28 0.35 0.29 0.25 0.26 0.24 0.26 0.27 0.27 0.25
Other food products and non-alcoholic beverages 2.76 3.61 3.26 3.31 3.05 3.03 2.55 2.98 2.75 2.77 2.64 2.80 2.60
Sugar and confectionery 0.45 0.70 0.55 0.53 0.55 0.48 0.41 0.50 0.50 0.42 0.48 0.46 0.43
Fats and oils 0.14 0.18 0.19 0.20 0.18 0.15 0.13 0.14 0.12 0.09 0.16 0.14 0.13
Coffee and tea 0.20 0.20 0.26 0.22 0.14 0.23 0.18 0.13 0.21 0.17 0.22 0.20 0.19
Condiments, spices and vinegars 0.39 0.42 0.42 0.39 0.44 0.50 0.34 0.34 0.34 0.39 0.37 0.40 0.37
Other food preparations 1.06 1.44 1.12 1.32 1.16 1.12 1.00 1.31 0.98 1.11 0.96 1.07 1.00
Non-alcoholic beverages 0.52 0.68 0.72 0.64 0.58 0.55 0.49 0.57 0.61 0.57 0.45 0.53 0.49
Food purchased from restaurants 4.88 3.67 3.18 4.57 4.57 5.45 4.41 5.19 4.88 5.02 5.41 5.29 4.47
Shelter 27.63 22.10 26.25 25.56 23.31 25.61 29.11 25.15 24.93 26.47 30.07 26.07 33.06
Rented accommodation 6.25 3.32 5.08 5.94 3.74 7.33 6.19 5.83 4.62 5.21 6.79 6.83 7.41
Rent 6.06 3.21 4.95 5.81 3.57 7.09 6.03 5.60 4.51 5.04 6.56 6.72 7.29
Tenants' insurance premiums 0.10 0.03 0.04 0.07 0.07 0.18 0.09 0.09 0.07 0.06 0.08 0.04 0.11
Tenants' maintenance, repairs and other expenses 0.09 0.08 0.09 0.07 0.10 0.07 0.08 0.15 0.04 0.12 0.15 0.07 0.01
Owned accommodation 16.91 12.37 13.97 13.87 13.27 14.54 18.18 14.71 14.76 16.32 19.89 13.79 19.31
Mortgage interest cost 5.83 4.14 4.88 4.72 4.51 4.38 6.30 4.96 4.94 6.10 7.37 5.09 10.76
Replacement cost 4.07 2.85 3.46 3.31 3.09 3.28 4.22 3.02 3.61 4.36 5.26 3.54 3.08
Property taxes (including special charges) 3.20 1.98 2.87 2.36 2.54 3.33 3.81 2.87 2.85 2.44 2.47 1.51 2.02
Homeowners' home and mortgage insurance 1.19 1.20 1.01 1.29 1.26 1.24 1.13 1.30 1.20 1.21 1.18 1.15 1.34
Homeowners' maintenance and repairs 1.29 0.79 0.93 0.92 0.79 1.01 1.47 1.19 0.99 1.14 1.60 0.74 1.76
Other owned accommodation expenses 1.34 1.40 0.82 1.27 1.09 1.30 1.23 1.37 1.17 1.07 2.01 1.76 0.34
Water, fuel and electricity 4.46 6.42 7.20 5.75 6.30 3.74 4.74 4.61 5.55 4.94 3.40 5.45 6.34
Electricity 2.41 4.74 3.30 3.15 4.67 3.15 2.15 2.44 2.49 2.01 1.67 2.33 2.86
Water 0.53 0.13 0.34 0.36 0.51 0.05 0.71 0.71 0.93 0.97 0.34 0.57 1.02
Natural gas 1.15 - 0.04 0.02 0.17 0.10 1.57 1.39 1.95 1.87 1.23 - 0.08
Fuel oil and other fuels 0.37 1.54 3.53 2.21 0.95 0.44 0.31 0.07 0.20 0.09 0.15 2.55 2.39
Household operations, furnishings and equipment 12.02 13.30 13.54 12.92 13.56 11.21 12.40 12.61 12.38 11.97 11.49 12.81 11.97
Household operations 8.16 8.54 9.73 8.91 9.77 7.22 8.72 8.25 8.25 8.05 7.63 8.72 7.42
Communications 3.11 3.95 3.81 3.50 3.33 2.74 3.23 3.15 3.37 3.14 3.03 3.53 3.08
Telephone services 2.21 2.88 2.72 2.46 2.40 1.87 2.30 2.19 2.47 2.29 2.20 2.40 2.11
Postal services and other communication services 0.11 0.16 0.13 0.13 0.10 0.08 0.12 0.12 0.14 0.12 0.12 0.20 0.19
Internet access services 0.71 0.83 0.89 0.82 0.76 0.73 0.72 0.76 0.68 0.65 0.64 0.84 0.68
Telephone equipment 0.08 0.08 0.07 0.08 0.07 0.05 0.09 0.07 0.08 0.07 0.08 0.09 0.10
Child care and domestic services 1.09 0.88 1.03 0.95 1.33 1.03 1.24 0.74 0.82 1.09 0.91 1.40 1.17
Household chemical products 0.49 0.73 0.67 0.62 0.63 0.52 0.50 0.53 0.49 0.46 0.41 0.43 0.50
Paper, plastic and foil supplies 0.58 0.86 0.80 0.79 0.75 0.59 0.57 0.68 0.64 0.55 0.49 0.63 0.61
Other household goods and services 2.89 2.12 3.41 3.06 3.73 2.34 3.18 3.16 2.94 2.82 2.78 2.73 2.06
Pet food and supplies 0.51 0.57 0.72 0.88 0.70 0.45 0.47 0.64 0.51 0.56 0.54 0.68 0.60
Seeds, plants and cut flowers 0.24 0.17 0.27 0.22 0.23 0.21 0.25 0.23 0.27 0.25 0.23 0.24 0.22
Other horticultural goods 0.07 0.07 0.07 0.09 0.07 0.07 0.07 0.08 0.06 0.07 0.08 0.07 0.05
Other household supplies 0.18 0.19 0.30 0.26 0.24 0.15 0.18 0.21 0.23 0.18 0.16 0.17 0.15
Other household services 1.18 0.70 1.13 1.05 1.78 0.85 1.47 1.20 1.09 0.95 1.09 1.01 0.51
Financial services 0.71 0.41 0.93 0.56 0.70 0.61 0.74 0.79 0.79 0.82 0.68 0.56 0.54
Household furnishings and equipment 3.86 4.76 3.82 4.00 3.80 4.00 3.68 4.35 4.13 3.92 3.86 4.09 4.55
Furniture and household textiles 1.88 2.40 1.67 1.83 1.56 1.99 1.76 2.00 1.84 1.81 2.07 1.75 2.29
Furniture 1.56 1.96 1.35 1.51 1.28 1.73 1.43 1.62 1.48 1.49 1.73 1.49 1.79
Household textiles 0.32 0.44 0.32 0.32 0.28 0.26 0.33 0.38 0.37 0.32 0.34 0.27 0.50
Household equipment 1.63 2.09 1.91 1.85 2.01 1.74 1.50 1.97 1.97 1.76 1.46 2.04 1.65
Household appliances 0.78 0.97 0.75 0.80 0.77 0.92 0.70 0.91 0.92 0.77 0.74 0.79 0.81
Non-electric kitchen utensils and tableware 0.14 0.12 0.12 0.12 0.12 0.13 0.13 0.15 0.17 0.17 0.13 0.18 0.19
Tools and other household equipment 0.72 0.99 1.03 0.93 1.12 0.68 0.67 0.91 0.88 0.83 0.59 1.07 0.65
Services related to household furnishings and equipment 0.23 0.13 0.14 0.19 0.14 0.19 0.29 0.22 0.21 0.17 0.19 0.11 0.23
Clothing and footwear 5.63 5.95 5.21 4.97 5.13 5.52 5.86 5.61 5.38 5.77 5.29 5.35 5.85
Clothing 3.74 4.14 3.62 3.19 3.47 3.85 3.87 3.79 3.52 3.82 3.32 3.55 3.81
Women's clothing 1.97 2.02 1.85 1.68 1.78 2.03 2.05 2.01 1.74 1.97 1.78 1.79 2.06
Men's clothing 1.31 1.51 1.27 1.12 1.23 1.34 1.36 1.21 1.31 1.37 1.12 1.33 1.28
Children's clothing (including infants) 0.46 0.62 0.51 0.39 0.46 0.47 0.46 0.57 0.47 0.48 0.42 0.43 0.46
Footwear 0.94 0.99 0.87 0.90 0.84 0.89 0.99 0.86 0.91 0.96 0.91 0.93 0.87
Clothing accessories and jewellery 0.63 0.65 0.48 0.59 0.63 0.52 0.61 0.65 0.76 0.71 0.76 0.50 0.85
Clothing material, notions and services 0.32 0.17 0.24 0.30 0.20 0.27 0.39 0.30 0.19 0.27 0.31 0.37 0.33
Transportation 19.33 22.13 19.51 20.32 22.00 19.69 19.06 20.62 22.34 20.23 17.13 17.18 16.37
Private transportation 17.43 20.52 18.33 18.80 20.88 18.18 17.02 18.88 20.86 18.25 14.85 13.43 12.51
Purchase, leasing and rental of passenger vehicles 7.78 10.07 7.69 8.81 9.79 8.84 7.10 8.58 10.51 8.85 5.87 4.44 6.86
Purchase and leasing of passenger vehicles 7.68 9.99 7.58 8.68 9.72 8.78 6.99 8.44 10.42 8.69 5.76 4.19 6.33
Rental of passenger vehicles 0.10 0.07 0.11 0.13 0.07 0.06 0.11 0.14 0.09 0.15 0.11 0.26 0.53
Operation of passenger vehicles 9.65 10.46 10.64 9.98 11.09 9.34 9.92 10.30 10.35 9.40 8.97 8.99 5.65
Gasoline 4.43 5.36 5.50 4.89 5.51 4.62 4.41 4.67 5.09 4.25 3.87 4.32 2.56
Passenger vehicle parts, maintenance and repairs 1.83 1.70 1.92 2.20 2.35 1.80 1.81 1.76 2.00 1.89 1.72 2.26 1.34
Other passenger vehicle operating expenses 3.39 3.39 3.22 2.90 3.23 2.92 3.70 3.87 3.26 3.26 3.39 2.41 1.75
Passenger vehicle insurance premiums 2.75 2.84 2.51 2.33 2.68 2.03 3.13 2.85 2.73 2.66 2.95 2.01 1.20
Passenger vehicle registration fees 0.25 0.40 0.32 0.25 0.30 0.38 0.18 0.52 0.17 0.26 0.19 0.23 0.36
Drivers' licences 0.10 0.06 0.07 0.04 0.06 0.28 0.05 0.22 0.10 0.04 0.04 0.03 0.06
Parking fees 0.15 0.04 0.06 0.10 0.08 0.13 0.17 0.18 0.14 0.19 0.11 0.07 0.07
All other passenger vehicle operating expenses 0.13 0.05 0.26 0.17 0.11 0.09 0.16 0.10 0.12 0.12 0.10 0.07 0.06
Public transportation 1.89 1.61 1.18 1.52 1.12 1.52 2.04 1.74 1.48 1.98 2.29 3.75 3.86
Local and commuter transportation 0.62 0.32 0.17 0.37 0.24 0.63 0.78 0.45 0.20 0.47 0.58 0.47 0.36
City bus and subway transportation 0.46 0.04 0.03 0.17 0.07 0.49 0.61 0.30 0.10 0.32 0.36 0.15 0.06
Taxi and other local and commuter transportation 0.16 0.28 0.14 0.21 0.16 0.13 0.16 0.15 0.10 0.15 0.22 0.32 0.30
Inter-city transportation 1.17 1.17 0.91 1.02 0.77 0.77 1.17 1.21 1.20 1.44 1.57 3.12 3.37
Health and personal care 4.97 5.15 5.62 4.64 5.13 5.33 4.77 5.35 5.10 4.93 4.93 4.44 3.85
Health care 2.59 2.69 3.01 2.27 2.82 2.81 2.37 2.97 2.72 2.56 2.80 2.39 1.70
Health care goods 1.48 1.71 2.06 1.49 1.62 1.68 1.27 2.03 1.86 1.40 1.53 1.22 1.05
Medicinal and pharmaceutical products 1.02 1.31 1.61 1.07 1.20 1.18 0.87 1.49 1.33 0.88 1.07 0.71 0.46
Prescribed medicines 0.64 1.04 1.27 0.73 0.86 0.86 0.47 1.11 0.86 0.47 0.66 0.27 0.17
Non-prescribed medicines 0.39 0.27 0.35 0.34 0.34 0.32 0.40 0.38 0.48 0.42 0.42 0.44 0.29
Optical goods 0.37 0.30 0.38 0.29 0.33 0.44 0.32 0.37 0.41 0.44 0.36 0.45 0.50
Other health care goods 0.08 0.09 0.07 0.13 0.09 0.06 0.08 0.18 0.11 0.07 0.10 0.06 0.09
Health care services 1.12 0.98 0.95 0.78 1.20 1.13 1.10 0.94 0.86 1.17 1.27 1.17 0.66
Personal care 2.38 2.46 2.61 2.36 2.31 2.53 2.40 2.38 2.37 2.37 2.13 2.05 2.15
Personal care supplies and equipment 1.34 1.47 1.54 1.42 1.37 1.35 1.36 1.41 1.47 1.38 1.20 1.32 1.18
Personal care services 1.04 0.99 1.07 0.94 0.94 1.18 1.04 0.97 0.90 0.99 0.94 0.73 0.97
Recreation, education and reading 11.40 10.79 10.48 11.10 10.90 10.25 11.47 11.75 12.16 12.19 12.19 13.22 10.77
Recreation 8.48 9.06 7.68 8.37 8.48 8.23 8.14 9.33 9.77 9.41 8.56 10.92 9.01
Recreational equipment and services (excluding recreational vehicles) 1.78 1.61 1.64 1.82 1.68 1.77 1.68 1.79 1.95 2.19 1.69 2.54 2.00
Purchase and operation of recreational vehicles 1.02 2.37 0.55 1.08 1.36 1.07 0.66 1.17 1.52 1.34 1.38 2.12 1.03
Home entertainment equipment, parts and services 1.16 1.11 1.21 1.07 1.02 1.18 1.12 1.28 1.31 1.21 1.17 1.37 1.50
Travel services 2.25 1.58 1.84 1.98 2.00 2.17 2.36 2.52 2.30 2.17 2.22 2.66 2.17
Traveller accommodation 1.28 0.91 1.22 1.07 1.22 0.95 1.35 1.25 1.44 1.48 1.48 2.15 1.79
Travel tours 0.97 0.68 0.63 0.91 0.79 1.22 1.01 1.28 0.86 0.69 0.74 0.51 0.38
Other cultural and recreational services 2.27 2.38 2.44 2.41 2.42 2.04 2.32 2.57 2.69 2.50 2.10 2.24 2.31
Spectator entertainment (excluding cablevision) 0.50 0.31 0.52 0.44 0.41 0.44 0.52 0.58 0.66 0.61 0.44 0.41 0.41
Cablevision and satellite services (including pay television) 1.09 1.53 1.37 1.35 1.39 1.05 1.11 1.18 1.35 1.04 0.95 0.96 1.07
Use of recreational facilities and services 0.61 0.49 0.49 0.55 0.54 0.48 0.62 0.72 0.59 0.75 0.65 0.75 0.77
Education and reading 2.92 1.73 2.80 2.73 2.42 2.02 3.34 2.42 2.39 2.79 3.63 2.30 1.76
Education 2.46 1.33 2.24 2.21 1.93 1.56 2.87 1.90 1.92 2.30 3.24 1.54 1.11
Tuition fees 1.93 0.97 1.84 1.74 1.56 1.11 2.33 1.38 1.46 1.72 2.62 1.03 0.75
School textbooks and supplies 0.33 0.24 0.26 0.31 0.26 0.30 0.34 0.30 0.30 0.33 0.35 0.26 0.21
Other lessons, courses and education services 0.20 0.12 0.14 0.17 0.12 0.15 0.20 0.22 0.16 0.25 0.27 0.25 0.15
Reading material and other printed material (excluding textbooks) 0.46 0.40 0.55 0.52 0.49 0.46 0.46 0.53 0.46 0.49 0.39 0.76 0.66
Alcoholic beverages and tobacco products 2.98 3.91 3.56 3.83 3.25 3.25 2.60 2.99 3.13 3.34 3.00 4.35 3.17
Alcoholic beverages 1.79 1.79 1.57 1.81 1.64 1.95 1.69 1.54 1.67 1.71 2.02 2.42 2.06
Alcoholic beverages served in licensed establishments 0.55 0.36 0.49 0.50 0.38 0.52 0.54 0.53 0.56 0.56 0.70 0.85 0.82
Alcoholic beverages purchased from stores 1.24 1.43 1.09 1.31 1.26 1.43 1.15 1.01 1.11 1.15 1.32 1.57 1.24
Beer purchased from stores 0.55 0.76 0.51 0.62 0.69 0.69 0.49 0.43 0.52 0.51 0.50 0.75 0.52
Wine purchased from stores 0.35 0.18 0.18 0.23 0.21 0.55 0.31 0.19 0.14 0.26 0.40 0.30 0.18
Liquor purchased from stores 0.30 0.47 0.33 0.41 0.32 0.17 0.31 0.36 0.42 0.36 0.35 0.48 0.51
Tobacco products and smokers' supplies 1.19 2.12 1.99 2.02 1.61 1.30 0.91 1.45 1.46 1.63 0.98 1.92 1.11

Concepts, definitions and data quality

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

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

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

1. Sales of goods manufactured

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

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

2. Inventories

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

3. Orders

a) Unfilled Orders

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

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

b) New Orders

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

4. Non-Durable / Durable goods

a) Non-durable goods industries include:

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

b) Durable goods industries include:

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

Survey design and methodology

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

Concept Review

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

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

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

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

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

Methodology

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

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

Components of the Survey Design

Target Population and Sampling Frame

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

The Sample

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

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

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

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

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

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

Data Collection

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

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

Use of Administrative Data

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

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

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

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

Data quality

Statistical Edit and Imputation

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

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

Revisions

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

Estimation

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

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

Benchmarking

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

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

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

Data confrontation and reconciliation

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

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

Sampling and Non-sampling Errors

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

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

1. Sampling Errors

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

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

2. Non-sampling Errors

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

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

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

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

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

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

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

Measures of Sampling and Non-sampling Errors

1. Sampling Error Measures

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

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

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

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

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

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

CV(X) = S(X)/X

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

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

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

Text table 1 contains the national level CVs, expressed as a percentage, for all manufacturing for the MSM characteristics. For CVs at other aggregate levels, contact the Marketing and Dissemination 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
%
March 2010 0.86 1.19 2.33 1.43 1.22
April 2010 0.77 1.18 2.19 1.38 1.21
May 2010 0.83 1.20 2.36 1.41 1.30
June 2010 0.84 1.17 2.46 1.42 1.30
July 2010 0.79 1.19 2.45 1.43 1.41
August 2010 0.81 1.21 2.41 1.43 1.47
September 2010 0.82 1.23 2.38 1.39 1.60
October 2010 0.80 1.21 2.45 1.43 1.74
November 2010 0.85 1.20 2.58 1.43 1.74
December 2010 0.75 1.19 1.62 1.42 1.70
January 2011 0.80 1.20 1.68 1.36 1.68
February 2011 0.76 1.22 1.72 1.38 1.93
March 2011 0.76 1.22 1.66 1.33 2.73

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 85.16 3.48 4.82 5.89 0.51 0.15
Raw materials and components 75.42 10.57 4.75 0.00 9.26 0.00
Goods / work in process 59.64 8.89 24.16 0.00 6.51 0.80
Finished goods manufactured 78.40 7.65 5.05 0.00 8.27 0.62
Unfilled Orders 50.31 3.79 41.36 0.00 4.08 0.46

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.

Table of Contents

Introduction (STH)
Home Access (HA)
Income (THI)
Introduction (STI)
Current User (CU)
Specific Use (SU)
E-Commerce (EC)
Privacy and security (PS)
Index

Section: Introduction (STH)

STH_BEG

Beginning of Section External variable required:
HHLDSIZE from Labour Force Survey (in 1...20)

STH_R01
Statistics Canada is conducting a survey on Internet use. The survey will help us better understand how the Internet is changing our lives and the economy.

Even if no one in your household uses the Internet, it is important that we obtain your views.

Your answers to this voluntary survey will be kept confidential and only used for statistical purposes.

(Collection Registration Number - STC/SSD-040-75115)

Interviewer: Press <1> to continue.

STH_END
End of Section

Section: Home Access (HA)

HA_BEG
Beginning of Section External variable required:
HHLDSIZE from the Labour Force Survey (in 1...20)

HA_Q01
Does your household have access to the Internet at home?

1 Yes
2 No (Go to HA_Q02)
DK, RF

Default: (Go to HA_C03)

Coverage: All respondents

HA_Q02
What are the reasons your household does not have access to the Internet at home?

Interviewer: Mark all that apply.

01 No need or no interest
02 Cost (service or equipment)
03 Have access to the Internet elsewhere (e.g., at work, school)
04 The available service does not meet our needs
05 Security concerns (e.g., concerns about viruses)
06 Privacy concerns (e.g., concerns about use of personal information)
07 Lack of confidence, knowledge, or skills
08 No Internet-ready device (e.g. desktop computer) available in dwelling
09 Age
10 Disability or health reasons
11 Other - Specify (Go to HA_S02)
DK, RF

Default: (Go to HA_C03)

Note: The ninth and tenth categories "Age" and "Disability or health reasons" were created during Head Office processing based on answers found in the "Other Specify" category.

Coverage: HA_Q01 = 2

HA_S02
What are the reasons your household does not have access to the Internet at home?

Interviewer: Specify.

Coverage: HA_Q01 = 2 and HA_Q02 = 11

HA_C03
If HA_Q01 = 1 (Yes) (Go to HA_Q03)
Otherwise (Go to HA_C09)

HA_Q03
Do members of your household access the Internet at home using: ...?

Interviewer: Read categories to respondent. Mark all that apply.

1 a desktop computer
2 a laptop computer (including Netbooks and Tablet computers)
3 a video games console (e.g. Xbox Live, PlayStation 3)
4 a BlackBerry, iPhone or other wireless handheld device (e.g. iPod Touch, Palm Pre)
5 any other device - Specify (Go to HA_S03)
DK, RF

Default: (Go to HA_Q04)

Coverage: HA_Q01 = 1

HA_S03
Do members of your household access the Internet at home using a:

Interviewer: Specify.

Coverage: HA_Q01 = 1 and HA_Q03 = 5

HA_Q04
Is your household currently connected to the Internet at home by: ...?

Interviewer: Read categories to respondent. Mark all that apply.
Exclude wireless routers, which are used to distribute the Internet signal within the home.

1 a telephone line
2 a cable line
3 a satellite dish
4 a wireless connection (including handheld devices, sticks or fixed wireless)
5 any other connection - Specify (Go to HA_S04)
DK, RF

Default: (Go to HA_C05)

Coverage: HA_Q01 = 1

HA_S04
Is your household currently connected to the Internet at home by:

Interviewer: Specify.

Coverage: HA_Q01 = 1 and HA_Q04 = 5

HA_C05
If one of responses in HA_Q04 = 4 (wireless) (Go to HA_Q05)
Otherwise (Go to HA_C06)

HA_Q05
You mentioned a wireless connection. Excluding wireless routers, is your household currently connected to the Internet at home by: ...?

Interviewer: Read categories to respondent. Mark all that apply.
Exclude wireless routers, which are used to distribute the Internet signal within the home.

1 a mobile Internet service for a Blackberry, iPhone or other wireless handheld device (for example, iPod Touch, Palm Pre)
2 a wireless stick or card (for example, data or mobile access stick connected to a laptop USB port)
3 a fixed wireless or Point-to-Point connection (for example, requiring line of sight reception)
4 any other wireless connection - Specify (Go to HA_S05)
DK, RF

Default: (Go to HA_C06)

Coverage: HA_Q01 = 1 and HA_Q04 = 4

HA_S05
You mentioned a wireless connection. Excluding wireless routers, is your household currently connected to the Internet at home by:

Interviewer: Specify.

Coverage: HA_Q01 = 1 and HA_Q04 = 4 and HA_Q05 = 4

HA_C06
If HA_Q04 = 1 only (telephone and no other responses) (Go to HA_Q06)
Otherwise (Go to HA_Q07)

HA_Q06
Does your household access the Internet at home using a high speed connection?

1 Yes
2 No (Go to HA_C09)
DK, RF

Coverage: HA_Q01 = 1 and HA_Q04 = (1 and <> 2, 3, 4 or 5)

HA_Q07
What is the name of your Internet Service Provider (ISP)?

Interviewer: Mark all that apply. This information will help in determining the level of service available in the respondent's area.

01 3 Web
02 AEI Internet
03 Aliant (Bell Aliant)
04 Bell (Sympatico)
05 Cogeco
06 Eastlink
07 Mountain Cable
08 MTS (Allstream)
09 Primus
10 Rogers
11 Sask Tel
12 Shaw
13 TekSavvy Solutions
14 Telus
15 Velcom
16 Videotron
17 Xplornet
18 Access
19 Telebec
20 Other - Specify (Go to HA_S07)
DK, RF

Default: (Go to HA_Q08)

Note: The 18th and 19th categories "Access" and "Telebec" were created during Head Office processing based on answers found in the "Other Specify" category.

Coverage: HA_Q01 = 1 and HA_Q06 <> 2

HA_S07
What is the name of your Internet Service Provider (ISP)?

Interviewer: Specify. This information will help in determining the level of service available in the respondent's area.

Coverage: HA_Q01 = 1 and HA_Q06 <> 2 and HA_Q07 = 20

HA_Q08
What is the estimated monthly cost of your home Internet connections?

Interviewer: Enter value to the nearest dollar. Exclude taxes.

[Min: 0 Max: 995]
DK, RF

Coverage: HA_Q01 = 1 and HA_Q06 <> 2


HA_C09
If (HA_Q01 = 2 (No)) or (HA_Q06 = 2 (No)) (Go to HA_Q09)
Otherwise (Go to HA_END)

HA_Q09
Is there a high speed Internet service available in your area?

1 Yes
2 No
DK, RF

Coverage: HA_Q01 = 2 and HA_Q06 = 2

HA_END End of Section

Section: Income (THI)

THI_BEG
Beginning of Section

THI_R01
Now a question about your total household income. This information will be used to determine if Internet service is affordable to Canadians.

Interviewer: Press <1> to continue.

THI_Q01
What is your best estimate of the total household income received by all household members, from all sources, before taxes and deductions, during the year ending December 31, 2009?

Interviewer: Income can come from various sources such as from work, investments, pensions or government. Examples include Employment Insurance, Social Assistance, Child Tax Benefit and other income such as child support, alimony and rental income.

Capital gains should not be included in the household income.

[Min: -9000000 Max: 90000000]
DK, RF

Coverage: All respondents

THI_C02
If THI_Q01 = (DK or RF) (Go to THI_Q02)
Otherwise (Go to THI_END)

THI_Q02
Can you estimate in which of the following groups your household income falls? Was the total household income during the year ending December 31, 2009: ...?

Interviewer: Read categories to respondent.

1 less than $50,000 (including income loss) (Go to THI_Q03)
2 $50,000 and more (Go to THI_Q04)
DK, RF

Default: (Go to THI_END)

Coverage: THI_Q01 = (DK or RF)

THI_Q03
Please stop me when I have read the category which applies to your household. Was it: ...?

Interviewer: Read categories to respondent.

01 less than $5,000
02 $5,000 to less than $10,000
03 $10,000 to less than $15,000
04 $15,000 to less than $20,000
05 $20,000 to less than $30,000
06 $30,000 to less than $40,000
07 $40,000 to less than $50,000
DK, RF

Default: (Go to THI_END)

Coverage: THI_Q01 = (DK or RF) and THI_Q02 = 1

THI_Q04
Please stop me when I have read the category which applies to your household. Was it: ...?

Interviewer: Read categories to respondent.

01 $50,000 to less than $60,000
02 $60,000 to less than $70,000
03 $70,000 to less than $80,000
04 $80,000 to less than $90,000
05 $90,000 to less than $100,000
06 $100,000 to less than $150,000
07 $150,000 and over
DK, RF

Coverage: THI_Q01 = (DK or RF) and THI_Q02 = 2

THI_END End of Section

If the household has been selected to receive only the household component (this applies to rural respondents in rotation groups 4 and 5), these respondents receive no other modules. These respondents proceed to the end of survey (SE_BEG).

All other households (rotations 1, 2, 3 and 6) will go to the individual component, starting with the Introduction, individual (STI), once an individual has been randomly selected from the household.

Section: Introduction (STI)

STI_BEG
Beginning of Section

Import PPI_I.PPI_N01, PPI_H.PPI_N01


STI_C01
If PPI_I = PPI_H (Go to STI_R01)
Otherwise (Go to STI_R02)

STI_R01
Now we are going to ask some questions about your personal use of the Internet during the past 12 months, from any location. Please exclude business-related use.

(Collection Registration Number - STC/SSD-040-75115)

Interviewer: Press <1> to continue.

Default: (Go to STI_END)

STI_R02
Statistics Canada is conducting a survey on Internet use. The survey will help us better understand how the Internet is changing our lives and the economy.

We are going to ask some questions about your personal use of the Internet during the past 12 months, from any location. Please exclude business-related use.

Even if you do not use the Internet, it is important that we obtain your views.

Your answers to this voluntary survey will be kept confidential and only used for statistical purposes.

(Collection Registration Number - STC/SSD-040-75115)

Interviewer: Press <1> to continue.

STI _END

End of Section

Section: Current User (CU)

CU_BEG Beginning of Section

CU_Q01 Did you use the Internet during the past 12 months for personal use?

1 Yes (Go to CU_Q02)
2 No
DK, RF

Default: (Go to CU_C12)

Coverage: All respondents

CU_Q02
How many years have you used the Internet?

Interviewer: Read categories to respondent.

1 Less than 1 year
2 1 to 2 years (1 year or more but less than 2 years)
3 2 to 5 years (2 years or more but less than 5 years)
4 5 to 10 years (5 years or more but less than 10 years)
5 10 or more years
DK, RF

Coverage: CU_Q01 = 1

CU_Q03
How often do you use the Internet for personal use in a typical month?

Interviewer: Read categories to respondent.

1 At least once a day
2 At least once a week (but not every day)
3 At least once a month (but not every week)
4 Less than once a month
DK, RF

Coverage: CU_Q01 = 1

CU_Q04
In a typical week, on average, how many hours do you spend on the Internet for personal use?

Interviewer: Read categories to respondent.

01 Less than 5 hours
02 Between 5 and 9 hours
03 Between 10 and 19 hours
04 Between 20 and 29 hours
05 Between 30 and 39 hours
06 40 hours or more per week
DK, RF

Coverage: CU_Q01 = 1

CU_Q05
During the past 12 months, did you use the Internet for personal use: ... from home?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

CU_Q06
(During the past 12 months, did you use the Internet for personal use:) ... from work?

Interviewer: Do not include use from home for tele-work or home based business.

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

CU_Q07
(During the past 12 months, did you use the Internet for personal use:) ... as a student from school?

Interviewer: Do not include if the respondent is an instructor using the Internet in school for work.

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

CU_Q08
(During the past 12 months, did you use the Internet for personal use:) ... from a public library?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

CU_Q09
(During the past 12 months, did you use the Internet for personal use:) ... with a BlackBerry, iPhone or other wireless handheld device (e.g. iPod Touch, Palm Pre)?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

CU_Q10
(During the past 12 months, did you use the Internet for personal use:) ... from any other locations (such as a friend's or relative's home, or hotel)?

1 Yes (Go to CU_Q11)
2 No
DK, RF

Default: (Go to CU_C12)

Coverage: CU_Q01 = 1

CU_Q11
From what other locations did you use the Internet during the past 12 months?

Interviewer: Mark all that apply.

01 Relative's home
02 Friend's or neighbour's home
03 Government office, department or kiosk (including Community Access Program site)
04 Wifi hotspot (including Internet or cyber café, or similar)
05 Voluntary organization
06 During travel (including hotel, airport, other office)
07 Other - Specify (Go to CU_S11)
DK, RF

Default: (Go to CU_C12)

Coverage: CU_Q01 = 1 and CU_Q10 = 1

CU_S11
From what other locations did you use the Internet during the past 12 months?

Interviewer: Specify.

Coverage: CU_Q01 = 1 and CU_Q10 = 1 and CU_Q11 = 07

CU_C12
If CU_Q01 = 2 (No) (Go to CU_Q12)
Otherwise (Go to CU_END)

CU_Q12
What are the reasons you do not use the Internet?

Interviewer: Mark all that apply.

01 Cost (service or equipment)
02 Limited access to a computer
03 No need / no interest / not useful / not enough time
04 Lack of skills or training / Internet or computer too difficult to use
05 Too much objectionable material on Internet
06 Confidentiality, security or privacy concerns
07 Fear of technology
08 Age reasons/Seniors
09 Disability
10 Used at work, no longer at work
11 Used at school, no longer at school
12 Other - Specify (Go to CU_S12)
DK, RF

Default: (Go to CU_END)

Coverage: CU_Q01 = 2

CU_S12
What are the reasons you do not use the Internet?

Interviewer: Specify.

Coverage: CU_Q01 = 2 and CU_Q12 = 12

CU_END
End of Section

Section: Specific Use (SU)

SU_BEG
Beginning of Section

Import the following variable:
CU_Q01 from the Module CU (1,2, DK, RF)


SU_C01
If CU_Q01 = 1 (Yes) (Go to SU_R01)
Otherwise (Go to SU_END)

SU_R01
The next questions relate to personal Internet use from any location and device.

Interviewer: Press <1> to continue.

SU_Q01
During the past 12 months, have you used the Internet: ... for e-mail?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q02
(During the past 12 months, have you used the Internet:) ... to use an instant messenger (e.g., Windows Live Messenger, Yahoo Messenger)?

Interviewer: Exclude text messaging over cellular networks.

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q03
(During the past 12 months, have you used the Internet:) ... to visit or interact with government websites?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q04
(During the past 12 months, have you used the Internet:) ... to search for medical or health-related information?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q05
(During the past 12 months, have you used the Internet:) ... for formal education, training or school work?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q06
(During the past 12 months, have you used the Internet:) ... for travel information or making travel arrangements?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q07
(During the past 12 months, have you used the Internet:) ... to search for employment?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q08
(During the past 12 months, have you used the Internet:) ... for electronic banking (e.g., paying bills, viewing statements, transferring funds between accounts)?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q09
(During the past 12 months, have you used the Internet:) ... to research investments?

Interviewer: 'Research investments' includes gathering information about existing investments, or to learn about stock prices, interest rates, etc. for future personal investment.

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q10
(During the past 12 months, have you used the Internet:) ... to read or watch the news?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q11
(During the past 12 months, have you used the Internet:) ... to research community events?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q12
(During the past 12 months, have you used the Internet:) ... to window shop or browse for information on goods or services?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q13
(During the past 12 months, have you used the Internet:) ... to sell goods or services (e.g. through auction sites)?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q14
(During the past 12 months, have you used the Internet:) ... to use social networking sites (e.g., Facebook, MySpace)?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q15
(During the past 12 months, have you used the Internet:) ... to contribute content or participate in discussion groups (e.g., blogging, message boards, posting images)?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q16
(During the past 12 months, have you used the Internet:) ... to play online games?

Interviewer: Include any games played over the Internet, including those using a video game console or social networking sites.

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q17
(During the past 12 months, have you used the Internet:) ... to obtain or save music (free or paid downloads)?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q18
(During the past 12 months, have you used the Internet:) ... to obtain or save software (free or paid downloads)?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q19
(During the past 12 months, have you used the Internet:) ... to listen to the radio online?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q20
(During the past 12 months, have you used the Internet:) ... to download or watch TV online?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q21
(During the past 12 months, have you used the Internet:) ... to download or watch movies or video clips online?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_Q22
(During the past 12 months, have you used the Internet:) ... to make telephone calls online (e.g. Skype)?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

SU_END
End of Section

Section: E-Commerce (EC)

EC_BEG
Beginning of Section

Import the following variable:
CU_Q01 from the Module CU (1,2,DK, RF)

EC_C01
If CU_Q01 = 1 (Yes) (Go to EC_R01)
Otherwise (Go to EC_END)

EC_R01
The next few questions are about using the Internet to order goods and services for personal or household use. You may or may not have paid for these goods or services over the Internet. Please exclude any orders for a business.

Interviewer: Press <1> to continue.

EC_Q01
During the past 12 months, did you order any goods or services over the Internet?

Interviewer: Include free orders and those based on points or redemption programs.

1 Yes (Go to EC_Q02)
2 No
DK, RF

Default: (Go to EC_C11)

Coverage: CU_Q01 = 1

EC_Q02
During the past 12 months, which of the following types of goods or services did you order?

Interviewer: Read categories to respondent.  Mark all that apply.

01 Software
02 Music (e.g., CDs, MP3)
03 Books, magazines, online newspapers
04 Videos or DVDs
05 Memberships or registration fees (e.g., health clubs, tuition, online television subscriptions)
06 Gift certificates or gift cards
07 None of the above
DK, RF

Coverage: CU_Q01 = 1 and EC_Q01 = 1

EC_C03
If at least 1 of the items (1 through 6) in EC_Q02 is selected (Go to EC_Q03)
Otherwise (Go to EC_Q04)

EC_Q03
Were any of these products delivered directly to your computer over the Internet rather than physically delivered to your home?

Interviewer: If respondent does not have a computer, include products delivered directly to wireless handheld devices (such as a BlackBerry or iPhone).

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1 and EC_Q01 = 1 and EC_Q02 = (01:06)

EC_Q04
During the past 12 months, did you order: ...?

Interviewer: Read categories to respondent. Mark all that apply.

01 tickets for entertainment events (e.g., concerts, movies, sports)
02 computer hardware
03 food or beverages (e.g. specialty foods or wine, pizza delivery)
04 prescription drugs or products (e.g., glasses)
05 other health or beauty products (e.g., vitamins, cosmetics)
06 clothing, jewellery or accessories
07 house wares (e.g., large appliances, furniture)
08 consumer electronics (e.g., cameras, stereos, TVs, DVD players)
09 travel arrangements (e.g., hotel reservations, travel tickets, rental cars)
10 sports equipment
11 toys and games
12 home improvement or gardening supplies (including tools)
13 photographic services
14 automotive products
15 real estate
16 flowers
17 other goods or services - Specify (Go to EC_S04)
18 No other goods or services
DK, RF

Default: (Go to EC_Q05)

Note: The 14th, 15th and 16th categories "automotive products", "real estate" and "flowers" were created during Head Office processing based on answers found in the "Other Specify" category.

Coverage: CU_Q01 = 1 and EC_Q01 = 1

EC_S04
During the past 12 months, did you order:

Interviewer: Specify.

Coverage: CU_Q01 = 1 and EC_Q01 = 1 and EC_Q04 = 17

EC_Q05
Did you order goods and services from: ...?

Interviewer: Read categories to respondent. Mark all that apply.

1 vendors in Canada
2 vendors in the United States
3 vendors in other countries
DK, RF

Coverage: CU_Q01 = 1 and EC_Q01 = 1

EC_Q06
During the past 12 months, how many separate orders did you place over the Internet?

Interviewer: Number of transactions, not articles purchased.

[Min: 1 Max: 995]
DK, RF

Coverage: CU_Q01 = 1 and EC_Q01 = 1

EC_C07
If EC_Q06 = DK (Go to EC_Q07)
Otherwise (Go to EC_Q08)

EC_Q07
Would you estimate the number of orders you placed on the Internet was: ...?

Interviewer: Read categories to respondent.

1 1 or 2 orders
2 3 to 10 orders
3 11 to 20 orders
4 more than 20 orders
DK, RF

Coverage: CU_Q01 = 1 and EC_Q01 = 1 and EC_Q06 = DK

EC_Q08
During the past 12 months, what was the estimated total cost, in Canadian dollars, of the goods and services you ordered over the Internet?

Interviewer: Probe for estimate, round to nearest dollar.

[Min: 0 Max: 999995]
DK, RF (Go to EC_Q09)

Default: (Go to EC_Q10)

Coverage: CU_Q01 = 1 and EC_Q01 = 1

EC_Q09
Would you estimate the total cost of goods and services you ordered over the Internet was: ...?

Interviewer: Read categories to respondent.

1 less than $100
2 $100 to $499
3 $500 to $999
4 $1000 or more
DK, RF

Coverage: CU_Q01 = 1 and EC_Q01 = 1 and EC_Q08 = (DK, RF)

EC_Q10
During the past 12 months, how did you pay for these goods or services ordered over the Internet?

Interviewer: Read categories to respondent. Mark all that apply.

01 A credit card online
02 Debit card or electronic bank transfer online
03 Paypal, Google Checkout or another online payment service
04 Prepaid gift card or online voucher
05 Points from rewards or redemption program (e.g., Air Miles)
06 Payment not made on the Internet (e.g., telephone, mail, COD)
DK, RF

Coverage: CU_Q01 = 1 and EC_Q01 = 1


EC_C11
If EC_Q01 = 2 (No) (Go to EC_Q11)
Otherwise (Go to EC_END)

EC_Q11
What was the main reason for not ordering any goods or services online during the last 12 months?

01 No interest
02 Prefer to shop in person
03 Security concerns (about giving credit card details)
04 Privacy concerns (about providing personal information)
05 Delivery concerns (shipping costs or concerns about returning goods)
06 Availability (products not always available to a Canadian address)
07 Do not have a credit card for online transactions
08 Speed of Internet connection is too slow
09 Other
DK, RF

Coverage: CU_Q01 = 1 and EC_Q01 = 2

EC_END
End of Section

Section: Privacy and security (PS)

PS_BEG
Beginning of Section

Import the following variable:
CU_Q01 from the Module CU (1,2,DK, RF)


PS_C01 If CU_Q01 = 1 (Yes) (Go to PS_R01)
Otherwise (Go to PS_END)

PS_R01
The next questions are about the security and privacy of your personal use of the Internet.

Interviewer: Press <1> to continue.

PS_Q01
Do you currently use any security software to protect your computer or other devices you use to access the Internet?

Interviewer: Other devices may include a BlackBerry, iPhone, or any other wireless handheld device (e.g., iPod Touch, Palm Pre) with Internet access.

1 Yes (Go to PS_Q02)
2 No
DK, RF

Default: (Go to PS_Q06)

Coverage: CU_Q01 = 1

PS_Q02
Aside from any Internet security software that may have come with your operating system or is provided by your Internet Service Provider, have you purchased any security software you currently use?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1 and PS_Q01 = 1

PS_Q03
Do you currently use any free versions of Internet security software?

Interviewer: Exclude software that came with an operating system or is provided by an Internet Service Provider.

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1 and PS_Q01 = 1

PS_Q04
Do you update the security software manually or is it done automatically?

Interviewer: Update refers to security updates, not subscription renewals.

1 Manually (Go to PS_Q05)
2 Automatically
DK, RF

Default: (Go to PS_Q06)

Coverage: CU_Q01 = 1 and PS_Q01 = 1

PS_Q05
How often do you update your Internet security software?

Interviewer: Read categories to respondent. Update refers to security updates, not subscription renewals.

1 Every time a new update is available
2 Occasionally
3 Never
DK, RF

Coverage: CU_Q01 = 1 and PS_Q01 = 1 and PS_Q04 = 1

PS_Q06
How often do you back up files (such as documents, spreadsheets or pictures) electronically?

Interviewer: Read categories to respondent. Include electronic copies of files only (e.g., files placed on a CD, DVD, memory stick or external hard drive, or stored on websites). Do not include printed copies of documents.

1 Always or almost always
2 Occasionally
3 Never
DK, RF

Coverage: CU_Q01 = 1

PS_Q07
How frequently do you delete your browser history?

Interviewer: Read categories to respondent.

1 After each use
2 Occasionally
3 Never
DK, RF

Coverage: CU_Q01 = 1

PS_Q08
Have you ever: ... received e-mails requesting personal financial information (such as bank account numbers or passwords) from a fraudulent source?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

PS_Q09
Have you ever: ... experienced misuse of personal information on the Internet (e.g. misuse of pictures, videos or personal data uploaded on public websites)?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1

PS_Q10
Have you ever: ... experienced a computer virus?

1 Yes (Go to PS_Q11)
2 No
DK, RF

Default: (Go to PS_END)

Coverage: CU_Q01 = 1

PS_Q11
Did the virus (or viruses) result in the loss of information or damage to software?

1 Yes
2 No
DK, RF

Coverage: CU_Q01 = 1 and PS_Q10 = 1

PS_END
End of Section

Index

C

CU_BEG 8
CU_C12 11
CU_END 12
CU_Q01 8
CU_Q02 9
CU_Q03 9
CU_Q04 9
CU_Q05 9
CU_Q06 10
CU_Q07 10
CU_Q08 10
CU_Q09 10
CU_Q10 10
CU_Q11 11
CU_Q12 11
CU_S11 11
CU_S12 12

E

EC_BEG 16
EC_C01 16
EC_C03 17
EC_C07 19
EC_C11 20
EC_END 20
EC_Q01 17
EC_Q02 17
EC_Q03 17
EC_Q04 18
EC_Q05 18
EC_Q06 19
EC_Q07 19
EC_Q08 19
EC_Q09 19
EC_Q10 20
EC_Q11 20
EC_R01 16
EC_S04 18

H

HA_BEG 1
HA_C03 2
HA_C05 3
HA_C06 4
HA_C09 5
HA_END 6
HA_Q01 1
HA_Q02 2
HA_Q03 2
HA_Q04 3
HA_Q05 4
HA_Q06 4
HA_Q07 5
HA_Q08 5
HA_Q09 6
HA_S02 2
HA_S03 3
HA_S04 3
HA_S05 4
HA_S07 5

P

PS_BEG 20
PS_C01 20
PS_END 23
PS_Q01 21
PS_Q02 21
PS_Q03 21
PS_Q04 21
PS_Q05 22
PS_Q06 22
PS_Q07 22
PS_Q08 22
PS_Q09 22
PS_Q10 23
PS_Q11 23
PS_R01 20

S

STH_BEG 1
STH_END 1
STH_R01 1
STI_BEG 7
STI_C01 7
STI_END 8
STI_R01 8
STI_R02 8
SU_BEG 12
SU_C01 12
SU_END 16
SU_Q01 12
SU_Q02 12
SU_Q03 12
SU_Q04 13
SU_Q05 13
SU_Q06 13
SU_Q07 13
SU_Q08 13
SU_Q09 14
SU_Q10 14
SU_Q11 14
SU_Q12 14
SU_Q13 14
SU_Q14 15
SU_Q15 15
SU_Q16 15
SU_Q17 15
SU_Q18 15
SU_Q19 16
SU_Q20 16
SU_Q21 16
SU_Q22 16
SU_R01 12

T

THI_BEG 6
THI_C02 6
THI_END 7
THI_Q01 6
THI_Q02 6
THI_Q03 7
THI_Q04 7
THI_R01 6

Data Element Manual for Survey Respondents

Tourism and the Centre for Education Statistics Division
Statistics Canada
May 2009

Table of contents

Full-Time: University and College Academic Staff System (FT-UCASS)
Authority to Collect Data
Coverage
Reporting Options
Reporting Date
Further Information
Table 1: Record Layout
Element 01: Reporting Institution
Table 2: List of institutions
Element 02: Permanent Identification Number
Element 03: Gender
Element 04: Year of Birth
Element 05: Department
Table 3: List of Department codes
Element 06: Salary Status
Element 07: Actual Salary
Element 08: Annual Rate of Salary
Element 09: Administrative Stipends
Element 10: Senior Administrative Responsibilities, Researchers and Visitors
Element 11: Number of Months on Sabbatical during the Current Academic Year
Element 12: Number of Months on Unpaid Leave during the Current Academic Year
Element 13: Reduced Load
Element 14: Previous Employment.
Element 15: Province or Country of Previous Employment
Table 4: Alphabetical Listing of Country Codes
Element 16: Year of First Degree
Element 17: Province or Country of First Degree
Element 18: Level of Highest Earned Degree
Element 19: Year of Highest Earned Degree
Element 20: Province or Country of Highest Degree
Element 21: Country of Citizenship at Time of Appointment
Element 22: Rank
Element 23: Year of Appointment to Present Rank
Element 24: Type of Appointment
Element 25: Medical or Dental Appointment Category
Element 26: Year of Appointment to Institution
Element 27: Principal Subject Taught
Table 5: CIP Codes

Full-time: University and College Academic Staff System (FT-UCASS)

Authority to Collect Data

The information requested in this survey is collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S19. This survey is mandatory in accordance with the Statistics Act.

This survey is the only source of national level information on full-time teaching staff in degree granting institutions, and is used by a variety of provincial, federal and international organizations in system wide studies.

Statistics Canada is prohibited by law from publishing any statistics which would divulge information obtained from this survey that relates to any identifiable individual. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation. Additionally, the data from this survey will only be published and made available to the public, for any given institution, once a signed authorization is returned to Statistics Canada by that institution.

Coverage

Data should be submitted for all full-time teaching staff employed in public or private degree granting institutions who receive funding from a provincial or territorial ministry of education and/or are a member of the Canadian Association of University Business Officers (CAUBO) survey as of October 1 of the reporting year. As well, please include full-time research staff who have an academic rank and a salary scale similar to teaching staff. The affiliates and other related colleges of these institutions may be reported by the parent institution or independently.

This survey includes full-time teaching staff that spend the majority of their teaching time on credit courses leading to degree programs (as opposed to continuing education courses, special interest courses or courses in a program that do not lead to a degree).

Full-time include:

  1. Staff appointed on a full-time basis whose term of appointment is not less than twelve months (include any staff member on leave).
  2. New appointees hired on a full-time basis whose term of contract is twelve months but for the first year he/she can only be at the institution for less than twelve months.
  3. Staff who were appointed to teach full-time (12 months or more) and at a later date have entered into a formal agreement with the institution to work on a reduced load basis. This situation usually arises with staff members who are approaching retirement.

Teaching staff included in the survey:

  1. All academic staff within faculties (colleges, schools, etc. ) who are full-time teachers, researchers (meeting with above criteria), and/or senior academic staff, i.e. , Deans, Chairperson, Directors etc.
  2. All full-time teachers within faculties, whether or not they hold an academic rank.
  3. Full-time academic staff in teaching hospitals (see element 25 for more detail).
  4. Visiting full-time academic staff in faculties.
  5. Full-time research staff who have an academic rank and a salary scale similar to teaching staff.

Staff excluded from this survey:

  1. Administrators solely responsible for university administration, i.e. , president, vice-president, registrar, comptroller, etc.
  2. Administrative assistants within faculties (colleges, schools, etc. ).
  3. Librarians.
  4. Non-academic support staff both in faculties (college, school, etc. ) and other university departments.
  5. Markers, demonstrators, lab assistants, etc.
  6. Graduate teaching assistants.
  7. Postdoctoral fellows.
  8. Academic staff within faculties (colleges, schools, etc. ) who have been hired as researchers without academic rank and/or whose salary scales are different from teaching staff.

Reporting Options

Data may be submitted in two ways:

A. Statistics Canada provides the institutions with individual data for each teaching staff member according to the previous year’s data (in Excel format) for updating by the institution. The data elements will be arranged in the same order as the record layout. Please do not change or adjust the order of the data elements on the CD.

Updating Instructions:

Returning teaching staff:
any data elements that changed since the last survey are to be updated. Elements that typically change from year to year are: actual salary, annual rate of salary, stipends, responsibility code, reduced load, number of months on sabbatical and unpaid leave. Elements that change less frequently include: level of highest earned degree, year of highest degree, province/country of highest degree, rank, year of appointment to present rank at current institution and subject taught.

New teaching staff:
Institutions are required to provide all data elements for each new teaching staff reported.

Non –returning staff:
Please delete them from the file.

B. Institutions can send to Statistics Canada individual data for each full-time teaching staff member in an Excel format. Please use the codes provided in this manual, and list the data elements in the order they appear in the record layout provided in table 1: Record layout.

Reporting Date

Most data elements in this survey are to be reported as of October 1 (a “snap shot” survey type). However, the following data elements, are not conceptually a snapshot and must be reported on a 12 months basis: number of months on sabbatical and unpaid leave, reduced load, and actual salary.

Further Information

Please send your data or direct any inquiries to:

Ms. Teresa Omiecinski, Analyst
(613) 951-5093
E-mail: Teresa.Omiecinski@statcan.gc.ca

or

Ms. Chantale Harvey, Production Manager
(613) 951-6069
E-mail: Chantale.Harvey@statcan.gc.ca

FT-UCASS
Education Finance, Postsecondary Faculty and Tuition Statistics Section
Tourism and the Centre for Education Statistics Division
2nd Floor, Main Building – Room 2100
150 Tunney’s Pasture Driveway
Statistics Canada
Ottawa, Ontario K1A 0T6

Fax (613)951-1333

Table 1: Record layout

Table 1: Record layout
Size Position Type Title
8 1 to 8 N Reporting institution
9 9 to 17 AN Permanent identification number
1 18 N Gender
4 19 to 22 N Year of birth
2 23 to 24 N Department
1 25 N Salary status
7 26 to 32 N Actual salary
7 33 to 39 N Annual rate of salary
6 40 to 45 N Administrative stipends
1 46 N Senior administrative responsibilities, reseachers and visitors
2 47 to 48 N Number of months on sabbatical leave during the current academic year
2 49 to 50 N Number of months of unpaid leave during the current academic year
2 51 to 52 N Reduced load
2 53 to 54 N Previous employment
5 55 to 59 N Province or country of previous employment
4 60 to 63 N Year of first degree
5 64 to 68 N Province or country of first degree
1 69 N Level of highest earned degree
4 70 to 73 N Year of highest earned degree
5 74 to 78 N Province or country of highest degree
5 79 to 83 N Country of citizenship at time of appointment
1 84 N Rank
4 85 to 88 N Year of appointment to present rank
1 89 N Type of appointment
1 90 N Medical or dental appointment category
4 91 to 94 N Year of appointment to institution
4 95 to 98 N Principal subject taught

Element 01: Reporting Institution

Description:
An 8 digit code assigned by Statistics Canada to identify the reporting institution.

Notes:
The codes previously used in FT-UCASS have been replaced with codes used by many surveys within Statistics Canada including the Postsecondary Student Information System (PSIS), Tuition and Living Accommodation Costs Survey (TLAC) and others.

These codes are structured as follows:

Digits 1 to 2: Province in which the institution is located

Digits 3 to 5: Institution

Digits 6 to 8: Campus (if applicable)

Codes:
Please see the following pages for a list of institution codes.

Table 2: List of institution

Table 2: List of institutions
Code Institution Name
Newfoundland
10001000 Memorial University of Newfoundland
Prince Edward Island
11001000 University of Prince Edward Island
Nova Scotia
12001000 Acadia University
12001002 Acadia Divinity College
12002000 Atlantic School of Theology
12003000 Cape Breton University
12004000 Dalhousie University
12005000 University of King's College
12006000 Mount Saint Vincent University
12007000 Nova Scotia Agricultural College
12008000 NSCAD University
12010000 Université Sainte-Anne
12011000 St. Francis Xavier University
12012000 Saint Mary's University
New Brunswick
13002000 Mount Allison University
13003000 University of New Brunswick
13004001 Université de Moncton, Campus de Moncton
13004002 Université de Moncton, Campus de Shippagan
13004003 Université de Moncton, Campus d'Edmundston
13005000 St. Thomas University
Quebec
24001000 Bishop's University
24002000 McGill University
24003000 Université de Montréal
24003002 École Polytechnique de Montréal
24003003 École des hautes études commerciales
24005000 Université Laval
24006000 Université de Sherbrooke
24007000 Concordia University
24008000 Université du Québec à Chicoutimi
24009000 Université du Québec à Montréal
24010000 Université du Québec en Abitibi-Témiscamingue
24011000 Université du Québec à Trois-Rivières
24012000 Université du Québec en Outaouais
24013000 Université du Québec, École nationale d'administration publique (ENAP)
24014000 Université du Québec, Institut national de la recherche scientifique
24015000 Université du Québec à Rimouski
24016000 Université du Québec, École de technologie supérieure
24017000 Université du Québec, Télé-université du Québec (TÉLUQ)
Ontario
35001000 Brock University
35001003 Concordia Lutheran Theological Seminary
35002000 Carleton University
35003000 Collège Dominicain de Philosophie et Théologie
35004000 University of Guelph
35005000 Lakehead University
35006000 Laurentian University of Sudbury/Université Laurentienne de Sudbury
35006003 Université de Hearst
35006004 Huntington University
35006005 University of Sudbury
35006006 Thorneloe University
35007000 McMaster University
35008000 Nipissing University
35010000 University of Ottawa/Université d'Ottawa
35010002 Université Saint-Paul
35011000 Queen's University
35011002 Queen's Theological College
35012000 Redeemer University College
35013000 Royal Military College of Canada
35014000 Ryerson University
35015000 University of Toronto
35015004 St. Augustine's Seminary
35015005 University of St. Michael's College
35015006 University of Trinity College
35015007 Victoria University
35015008 Knox College
35015009 Wycliffe College
35015011 Regis College
35016000 Trent University
35017000 University of Waterloo
35017002 St. Jerome's University
35017003 Renison College
35017004 Conrad Grebel University College
35018000 University of Western Ontario
35018002 Brescia University College
35018003 Huron University College
35018004 King's University College
35019000 Wilfrid Laurier University
35020000 University of Windsor
35021000 York University
35022000 Ontario College of Art and Design
35023000 University of Ontario Institute of Technology
35024000 Algoma University College
Manitoba
46001000 Brandon University
46002000 Canadian Mennonite University
46005000 University of Manitoba
46005002 Collège universitaire de Saint-Boniface
46005003 Saint Andrew’s College – University of Manitoba
46006000 University of Winnipeg
Saskatchewan
47004000 University of Regina
47004002 Campion College
47004003 Luther College
47004004 First Nations University of Canada
47005000 University of Saskatchewan
47031000 College of Emmanuel and St. Chad
47032000 Lutheran Theological Seminary
47033000 St. Andrew's College – University of Saskatchewan
47005005 St. Thomas More College
47034000 Horizon College & Seminary
Alberta
48001000 University of Alberta
48002000 Athabasca University
48005000 University of Calgary
48007000 Canadian University College
48008000 Concordia University College of Alberta
48009000 University of Lethbridge
48011000 The King's University College
48014000 Ambrose University College
48015000 Grant MacEwan University
48016000 Mount Royal University
British Columbia
59001000 University of British Columbia
59002000 University of Northern British Columbia
59005000 Royal Roads University
59007000 Simon Fraser University
59008000 Trinity Western University
59009000 University of Victoria
59048000 Thompson Rivers University
59049000 Capilano University
59051000 Vancouver Island University
59052000 Emily Carr University of Art and Design
59053000 Kwantlen Polytechnic University
59054000 University of the Fraser Valley

Element 02: Permanent Identification Number

Description:
A nine digit code chosen by the institution which identifies each staff member.

Notes:
This code should be unique, never be re-assigned and remain the same from year to year for each individual staff member. Examples of codes used by institutions are social insurance number, payroll number etc.

Alpha-numeric codes may be used.

Please ensure that there are no duplicate permanent identification numbers.

This element must not be blank.

Codes:
As assigned by the institution.

Element 03: Gender

Description:
A one digit element to report the gender of the staff member.

Codes:
1. Male
2. Female

Element 04: Year of Birth

Description:
A four digit element to report the staff member's year of birth.

Codes:
Four digits of the year of birth.

9999. Unknown.

Element 05: Department

Description:
A two digit code to report the department to which the staff member is appointed.

Notes:
Please note that previously, reporting on this data element was optional but is now mandatory.

Please report the department using the 2 digit CIP codes listed on the following pages. For further assistance on determining the correct codes, please consult the full version of the CIP coding manual for a more detailed description.

For cross appointments, please report that department in which the staff member spends the majority of their time.

Codes:
The list of 2 digit CIP codes is given on the following pages.

Table 3: List of Department codes

Table 3: List of department codes
Code Title Description
01 Agriculture, Agriculture Operations and Related Sciences This series focuses on agriculture and related sciences and the management and performance of agricultural operations.
03 Natural Resources and Conservation This series focuses on the various natural resources and conservation fields.
04 Architecture and Related Services This series focuses on the various architecture-related fields and the study of related aesthetic and socioeconomic aspects of the built environment.
05 Area, Ethnic, Cultural and Gender Studies This series focuses on defined areas, regions, and countries of the world; defined minority groups within and across societies; and issues relevant to collective gender experience.
09 Communication, Journalism and Related Programs This series focuses on how messages in various media are produced, used, and interpreted within and across different contexts, channels, and cultures.
11 Computer and Information Sciences and Support Services This series focuses on the computer and information sciences.
13 Education This series focuses on the theory and practice of learning and teaching, and related research, administrative and support services.
14 Engineering This focuses on the mathematical and scientific principles to the solution of practical problems.
15 Engineering Technologies/Technicians This series focuses on the application of basic engineering principles and technical skills in support of engineering and related projects.
16 Aboriginal and Foreign Languages, Literatures and Linguistics This series focuses on foreign languages and literatures, the humanistic and scientific study of linguistics, and the provision of professional interpretation and translation services.
19 Family and Consumer Sciences/Human Sciences This series focuses on the human interface with the physical, social, emotional, and intellectual environments and the developmental stages and needs of individuals in the interrelated spheres of family, workplace, and community.
22 Legal Professions and Studies This series focuses on the preparation for the legal profession, for related support professions and professional legal research as well as the study of legal issues in non-professional programs.
23 English Language and Literature/Letters This series focuses on the structure and use of the English language and dialects, speech, writing, and various aspects of the literatures and cultures of the English-speaking peoples.
24 Liberal Arts and Sciences, General Studies and Humanities This series comprises general instructional programs and independent or individualized studies in the liberal arts subjects, the humanities disciplines and the general curriculum.
25 Library Science This series focuses on the knowledge and skills required for managing and/or maintaining libraries and related information and record systems, collections and facilities for research and general use.
26 Biological and Biomedical Sciences This series focuses on the biological sciences and the non-clinical biomedical sciences, and that prepares individuals for research and professional careers as biologists and biomedical scientists.
27 Mathematics and Statistics This series focuses on the systematic study of logical symbolic language and its applications.
28 Reserve Entry Scheme for Officers in the Armed Forces This series focuses on the training of officer cadets and officers in the armed forces.
29 Military Technologies This focuses on specialized and advanced subject matter for the armed services and related national security organizations.
30 Multidisciplinary/Interdisciplinary Studies This series focuses on a subject concentration that is not subsumed under a single discipline or occupational field.
31 Parks, Recreation, Leisure and Fitness Studies This series focuses on the principles and practices of managing parks and other recreational and fitness facilities; providing recreational, leisure and fitness services; and the study of human fitness.
38 Philosophy and Religious Studies This series focuses on logical inquiry, philosophical analysis, and the academic study of organized systems of belief and religious practices.
39 Theology and Religious Vocations This series focuses on the intramural study of theology and the preparation for the professional practice of religious vocations.
40 Physical Sciences This series focuses on the scientific study of inanimate objects, processes of matter and energy, and associated phenomena.
42 Psychology This series focuses on the scientific study of the behaviour of individuals, independently or collectively, and the physical and environmental bases of mental, emotional, and neurological activity.
43 Security and Protective Services This series focuses on the principles and procedures for providing police, fire,and other safety services and managing penal institutions.
44 Public Administration and Social Service Professions This series focuses on the analysis, management, and delivery of public programs and services.
45 Social Sciences This series focuses on the systematic study of social systems, social institutions, and social behaviour.
50 Visual and Performing Arts This series focuses on the creation and interpretation of works and performances that use auditory, kinesthetic, and visual phenomena to express ideas and emotions in various forms, subject to aesthetic criteria.
51 Health Professions and Related Clinical Sciences This series focuses on the preparation of individuals to practice as licensed professionals and assistants in the health care professions and focuses on the study of related clinical sciences.
52 Business, Management, Marketing and Related Support Services This series focuses on the managerial, technical support, and applied research functions related to the operation of commercial and non-profit enterprises and the buying and selling of goods and services.
54 History This series focuses on the study and interpretation of past events, institutions, issues, and cultures.
55 French Language and Literature/Letters This series focuses on the structure and use of the French language and dialects, speech, writing, and various aspects of the literatures and cultures of the French-speaking peoples.
60 Dental, Medical and Veterinary Residency Programs This series comprises residency programs in various dental, medical, and veterinary specializations offered in teaching hospitals and similar locations, that may lead to advanced professional certification. Residency programs that also result in an academic degree completion, such as an MSc or a PhD, should be reported in series 26. Biological and Biomedical Sciences or in series 51. Health Professions and Related Clinical Sciences.

Element 06: Salary Status

Description:
A one digit element to identify the salary status of the staff members.

Codes:
1. Staff members who are paid according to regular salary scales. This can include lay or religious staff.
2. All staff members paid according to salary scales that are lower than regular salary scales. This can include religious, military or other staff.

Element 07: Actual Salary

Description:
A seven digit element to report the actual gross salary (including vacation pay) that the staff member is expected to receive during the salary year.

Please exclude stipends or other honoraria for administrative duties. Any extra payments such as those received for summer employment, extension work, or others are also to be excluded.

Notes:
Please note that every staff member should have an actual salary reported.

The reported actual salary should reflect new negotiated settlement applicable as of October 1 and should not include expected increases or adjustments which may become effective at later date. If salaries are not negotiated by that date, please report the new negotiated settlement applicable to October 1, when they become known.

For medical/dental staff, it is understood that, in most cases, the institution itself, provincial medical care institutions ( e.g. hospitals) and/or medical care plan contribute to the staff member's salary at an agreed upon ratio. In some institutions, staff receive all their remuneration directly from the university and the university bills the hospital (or medical care plan) for the latter's share. In other cases, the staff member receives remuneration from the university, the hospitals and/or medical care plan. In order to keep the actual salary reported as comparable as possible among institutions, please include, for medical/dental staff, both the university contribution and the contribution by hospitals and/or medical care plans (excluding special grants, fees for services to patients, guarantees, etc. ).

The following elements will affect the actual salary:

1. Element 11: “Sabbatical Leave”: For example, if the staff member had a non 100% reimbursed sabbatical leave, it is expected that the actual salary reported would be reduced.
2. Element 12: “Number of months on unpaid leave”. For example, if the staff member took 6 months of unpaid leave, it is expected that the actual salary would by reduced by 50%.
3. Element 13: “Reduced Load”. For example, if a staff member had a 75% load reduction, it is expected that the actual salary would be reduced by that amount.

Exclusions:

Administrative stipends and other honorarium for administrative duties.
Research grants.
Extra payments such as those for overload, extension and summer employment.

Codes:
Seven digit numeric value

0000000. Only those staff who are on leave without pay for the whole salary year or staff who do not receive an allowance or salary.

Element 08: Annual Rate of Salary

Description:
A seven digit element to report the annual gross salary (including vacation pay) the staff member is expected to receive during the salary year.

Please exclude stipends or other honoraria for administrative duties. Any extra payments such as those received for summer employment, extension work, or others are also to be excluded.

Notes:
The reported annual rate of salary should reflect new negotiated settlement applicable as of October 1 and should not include expected increases or adjustment which may become effective at later date. If salaries are not negotiated by that date, please report the new negotiated settlement applicable to October 1, when they become known.

For those staff on sabbatical leave or unpaid leave, please report the annual gross salary that would have been paid had the staff member not gone on leave. The same applies to those professors who are on a reduced load; please report the annual gross salary that would have been paid had the staff member not been on a reduced load.

The “Annual Rate of Salary” will be the same as the “Actual Rate of Salary” (Element 7) where the staff member is employed for the full 12 months of the year and is not on an unpaid leave, reduced load or 100% non-reimbursed sabbatical leave.

For medical/dental staff, please report (on an annual rate basis), the staff member's income from all sources including operating and trust funds of the university, hospitals and/or medical care plans, and special grants from health or research agencies but excluding fees for service to patients and guarantees. The reported income should relate to the university appointment and not to outside activities unrelated to this appointment.

Exclusions:
Administrative stipends and other honorarium for administrative duties.
Research grants.
Extra payments such as those for overload, extension and summer employment.

Codes:
Seven digit numeric value
Please report the salary even if it is the same as that reported in element 07.

0000000.  Staff who do not receive an allowance or salary.

Element 09: Administrative Stipends

Description:
A six digit element to report annual stipend or other honorarium paid to the staff member for administrative duties.

Notes:
Please include only those annual stipends and other honorarium that are received for administrative duties only. Payments given to the staff member for non-administrative duties are not to be included.

This element is related to “Element 10: Senior Administrative Responsibilities – Researchers and Visitors”. If a staff member is coded as having a senior administrative responsibilities in Element 10 ( i.e. codes 1 to 5 and 9), then it is expected that they will receive an administrative stipend. The exception is where other arrangements are made for re-imbursement, in which case this element should be coded as “999999”. Examples of where the stipend should be reported as “999999”:

  • it is included in their salary,
  • they are given course relief.,
  • the payment is made to their research fund etc.

Exclusions:
1. Funds received for research grants such as Canada Research Chairs and others.
2. Stipends received for non-administrative duties.

Codes:
Six digit numeric value.

000000. if the staff member does not have administrative duties.

999999. if the staff member has administrative duties but does not receive a separate stipend.

Element 10: Senior Administrative Responsibilities, Researchers and Visitors

Description:
A one digit code to report researchers, visitors and those staff members with senior administrative responsibilities.

Notes:
Please report all staff members holding senior administrative positions, including those in an acting capacity
All visiting staff are to be coded 6 or 8 regardless of their responsibilities. Please note that they should be coded 4 in element 24: “Type of Appointment”.

All research staff who have an academic rank and are paid according to regular salary scales, should be coded 7 or 8.
It is expected that an administrative stipend would be reported (in element 09) for those staff who are coded as 1 to 5, and in some cases code 9.

Codes:
0. Teacher with no senior administrative duties
1. Dean
2. Assistant dean, associate dean, vice-dean
3. Director whose responsibilities and salary are equivalent to those of a dean. Those directors not equivalent to deans would be coded as 4.
4. Director, department head, coordinator
5. Chairperson
6. Visitor with teaching responsibilities e.g. , staff with a permanent affiliation to another university or organization
7. Researchers - non-visitors. Researchers are defined as full-time research staff who have an academic rank and a salary scale similar to teaching staff. Please note that their subject taught should be coded as 9998
8. Researchers – visitors. Researchers are defined as full-time research staff who have an academic rank and a salary scale similar to teaching staff. Please note that their subject taught should be coded as 9998
9. Assistant and associate director, assistant or associate department head, assistant or associate coordinator, assistant or associate chairperson and any other.

Element 11: Number of Months on Sabbatical Leave* During the Current Academic Year

Description:
A 2 digit element to report the number of months on sabbatical leave.

Notes:
This element requests information on leave that relates to the full academic year and as approved by the time the institution reports to Statistics Canada.

Codes:
Two digits indicating the Number of months on sabbatical leave during the academic year.

* As approved by the time institution reports to Statistics Canada.

Element 12: Number of Months on Unpaid Leave* During the Current Academic Year

Description:
A 2 digit element, to report the number of months on unpaid leave.

Notes:
This element requests information on leave that relates to the full academic year and as approved by the time the institution reports to Statistics Canada.

Codes:
Two digits indicating the number of months on unpaid leave during the academic year.

* As approved by the time institution reports to Statistics Canada.

Element 13: Reduced Load

Description:
A two digit element to report the intensity of a reduced load carried by a full-time teacher.

Notes:
This applies to full-time staff members who have entered into a formal agreement with the institution to carry his/her duties on a reduced load, for the whole year or that part of the year not on leave.

Please report the intensity of the load

For staff members on reduced load, the actual salary (element 07) must be lower than the annual rate of salary (element 08). For example, if the intensity of the load is 75% for 12 months, we would expect the actual salary to be 75% of the annual rate of salary.

For staff members not on reduced load, use code 00.

Codes:
10 to 95. Possible reported Work Load values.
00. Staff members not on a reduced load .

Example: If, according to contract terms, a staff member is on 75% work load, indicate 75 in this element.

Element 14: Previous Employment

Description:
A two digit element, to report the staff member's employment/occupation that they held immediately prior to their appointment (or reappointment) to the institution.

Notes:
The employment/occupation that the staff member held immediately prior to the appointment year specified in Element 26.

Codes:
01. University: Teaching or non-teaching position at a university or affiliated college, or other educational institution where teaching is defined as set out in the introduction to this manual in the “Coverage” section.
02. Non-university: Teaching or non-teaching position at other educational institutions (including community colleges).
03. Student (including postdoctoral fellows).
04. Public sector: Employment in a government department or agency. This includes hospitals and other publicly funded clinics or other organized health care agency and the military.
05. Private sector: Employment in the private sector (including those that are self employed).
06. Other
99. Unknown

Element 15: Province or Country of Previous Employment

Description:
Please report the province in which the staff member held the position of his employment (occupation) immediately prior to being appointed (reappointed) to the institution. If outside of Canada, please report country.

Notes:
An alphabetical listing of province and country codes is presented on the following pages. A listing of country codes in numerical order is also available, by contacting the subject analyst (co-ordinates). These codes are consistent with the codes used by a number of Statistics Canada surveys such as Postsecondary Student Information System (PSIS) and others.

If a country code does not appear on the list, please contact the subject matter analyst where co-ordinates appear in "Further information" section.

Codes:
Please use the following pages for a list of the Province and Country
99999. Unknown

Table 4: Alphabetical Listing of Country Codes

Table 4: Alphabetical Listing of Country Codes
Country Name Code
Afghanistan 00742
Albania 01353
Algeria 01611
American Samoa 01962
Andorra 02253
Angola 02512
Anguilla 02623
Antigua and Barbuda 02823
Argentina 03131
Armenia 03253
Aruba 02923
Australia 03461
Austria 03752
Azerbaijan 03953
Bahamas 04023
Bahrain 04341
Bangladesh 04542
Barbados 04623
Belarus 05052
Belgium 05551
Belize 07322
Benin 16912
Bermuda 05821
Bhutan 06142
Bolivia 06431
Bosnia and Herzegovina 06653
Botswana 06512
Bouvet Island 17012
Brazil 06731
British Indian Ocean Territory 08342
Brunei Darussalam 08543
Bulgaria 08853
Burkina Faso 67012
Burundi 09412
Cambodia 09743
Cameroon 10312
Canada 80021
Cape Verde 11212
Cayman Islands 11523
Central African Republic 11812
Chad 12712
Chile 13031
China 13644
Christmas Island 13762
Cocos (Keeling) Islands 13962
Colombia 14231
Comoros 14512
Congo 14812
Congo, Democratic Republic of the 14912
Cook Islands 15462
Costa Rica 15722
Côte d'Ivoire 31312
Croatia 15853
Cuba 16023
Cyprus 16341
Czech Republic 16552
Denmark 17251
Djibouti 21412
Dominica 17523
Dominican Republic 17823
Ecuador 18131
Egypt 65211
El Salvador 18422
England 65851
Equatorial Guinea 18512
Eritrea 18812
Estonia 18651
Ethiopia 18712
Faeroe Islands 19051
Falkland Islands (Malvinas) 19331
Fiji 19662
Finland 19951
France 20251
French Guiana 20831
French Polynesia 21162
French Southern Territories 21212
Gabon 22012
Gambia 22312
Georgia 22553
Germany 22652
Ghana 23812
Gibraltar 24153
Greece 24753
Greenland 25021
Grenada 25323
Guadeloupe 25623
Guam 25962
Guatemala 26222
Guernsey 20351
Guinea 26512
Guinea-Bissau 49312
Guyana 26631
Haiti 26823
Heard Island and McDonald Islands 26912
Honduras 27722
Hong Kong 28044
Hungary 28352
Iceland 28651
India 29242
Indonesia 29543
Iran 29841
Iraq 30141
Ireland, Republic of (EIRE) 30451
Isle of Man 30651
Israel 30741
Italy 31053
Jamaica 31623
Japan 31944
Jersey 70751
Jordan 32241
Kazakhstan 32342
Kenya 32512
Kiribati 32662
Korea, North 33144
Korea, South 32844
Kuwait 33441
Kyrgyzstan 33542
Laos 33743
Latvia 33851
Lebanon 34041
Lesotho 34412
Liberia 34612
Libya 34911
Liechtenstein 35252
Lithuania 35351
Luxembourg 35551
Macao 35844
Macedonia (FYROM) 35953
Madagascar 36112
Malawi 36212
Malaysia 36443
Maldives 36742
Mali 37012
Malta 37353
Marshall Islands 37462
Martinique 37623
Mauritania 37912
Mauritius 38212
Mayotte 38312
Mexico 38822
Micronesia, Federated States of 38962
Moldova, Republic of 39052
Monaco 39151
Mongolia 39444
Montenegro 70453
Montserrat 39723
Morocco 40011
Mozambique 41212
Myanmar 09143
Namibia 58612
Nauru 41862
Nepal 42142
Netherlands 42451
Netherlands Antilles 42723
New Caledonia 43062
New Zealand 43961
Nicaragua 44222
Niger 44512
Nigeria 44812
Niue 45162
Norfolk Island 45462
Northern Ireland 66151
Northern Mariana Islands 45662
Norway 46051
Oman 41541
Pakistan 46642
Palau 46862
Palestinian Territory, Occupied 46741
Panama 46922
Papua New Guinea 43362
Paraguay 47531
Peru 47831
Philippines 48143
Pitcairn 48462
Poland 48752
Portugal 49053
Puerto Rico 50223
Qatar 50541
Réunion 50812
Romania 52653
Russian Federation 53052
Rwanda 52912
Saint Barthélemy 69562
Saint Helena 53512
Saint Kitts and Nevis 53823
Saint Lucia 54123
Saint Martin 68923
Saint Pierre and Miquelon 54421
Saint Vincent and the Grenadines 54723
Samoa 69462
San Marino 55053
Sao Tome and Principe 55312
Saudi Arabia 55941
Scotland 66451
Senegal 56212
Serbia 70653
Seychelles 56512
Sierra Leone 56812
Singapore 57443
Slovakia 56952
Slovenia 57053
Solomon Islands 07662
Somalia 57712
South Africa 58312
South Georgia and the South Sandwich Islands 58412
Spain 58953
Sri Lanka 12442
Sudan 59812
Suriname 60131
Svalbard and Jan Mayen Island 60251
Swaziland 60412
Sweden 60751
Switzerland 61052
Syria 61341
Taiwan 61544
Tajikistan 61442
Tanzania, United Republic of 61612
Thailand 61943
Timor-Leste 49943
Togo 62212
Tokelau 62562
Tonga 62862
Trinidad and Tobago 63123
Tunisia 63711
Turkey 64041
Turkmenistan 64441
Turks and Caicos Islands 64323
Tuvalu 24462
Uganda 64612
Ukraine 64752
United Arab Emirates 63441
United Kingdom 65551
United States 66721
United States Minor Outlying Islands 66962
Uruguay 67331
Uzbekistan 65642
Vanuatu 43662
Vatican City State 67553
Venezuela 67631
Viet Nam 68243
Virgin Islands, British 68523
Virgin Islands, U.S. 68823
Wales 66551
Wallis and Futuna 69262
Western Sahara 69311
Yemen 70041
Zambia 70512
Zimbabwe 51112
Not applicable 99899
Not reported 99999
Canada 80021
Newfoundland 81021
Prince Edward Island 81121
Nova Scotia 81221
New Brunswick 81321
Quebec 82421
Ontario 83521
Manitoba 84621
Saskatchewan 84721
Alberta 84821
British Columbia 85921
Yukon Territory 86021
Northwest Territories 86121
Nunavut 86221
If a country code does not appear on the list, please contact the subject matter analyst.

Element 16: Year of First Degree

Description:
A four digit element to report the year in which the staff member obtained his or her first university degree, postsecondary diploma or professional designation.

Codes:
Four digits of the year in which the first university degree, postsecondary diploma or professional designation was obtained.
9998: No degree, diploma or professional designation.
9999: Unknown

Element 17: Province or Country of First Degree

Description:
A five digit code to report the province in which the staff member's first university degree, postsecondary diploma or professional designation was obtained. If outside of Canada, please report the country. If a country is not identified in the following listing, please contact the subject matter analyst.

Codes:
The list of province and country codes is given in element 15
99899: If code 9998 was used in element 16, then code 99899 should be reported for this element.
99999: Unknown.

Element 18: Level of Highest Earned Degree

Description:
A one digit code to report the level of the staff member's highest earned degree, diploma or professional designation.

Notes:
Please note that it is the highest degree, not the most recent, which is required. The following codes list the degrees in order of highest to lowest. Please exclude all anticipated and all honourary degrees.

Codes:
1. PhD. or any other equivalent doctoral degree. ( i.e. Ed.D., D.Sc., D.S.W)
2. Professional degrees (but not including masters or bachelors degrees). This code refers to medical and paramedical degrees only. For example, the following degrees would be included in this category: M.D. (Medical Doctor), D.D.S.( Doctor of Dental Surgery), D.D.M.(Doctor of Dental Medicine), D.V.M.(Doctor of Veterinary Medicine). Please do not include the masters of social work (code 3) or the LLB: bachelors of laws and letters (code 4) degrees in this category.
3. Masters degree and equivalent ( e.g. , M.A., M.S.W., M.B.A., etc).
4. Bachelors degree ( e.g. , LL.B., B.A., B.S, B.Ed., etc).
5. All other credentials. This includes undergraduate and graduate diplomas, professional designations other than a degree ( e.g. , C.A., C.G.A., R.I.A., teaching certificate but no degree, etc. ) and any others.
8. No degree, diploma or professional designation.
9. Unknown

Element 19: Year of Highest Earned Degree

Description:
A four digit element to report the year in which the highest earned degree as specified in element 18, was obtained.

Notes:
If the staff member has two or more degrees at the same level, please report the year of the most recent degree. For example, if the staff member has two doctorate degrees, one obtained in 1960 and the other in 1965, please report 1965 for this element.

Similarly, if the staff member has two degrees, the most recent of which is at a lower level than the first, e.g. , M.D. obtained in 1965, M.S. in 1972, please report the year of the higher degree, in this case 1965.

If a staff member has a degree which is higher than a bachelor’s degree, it is expected that the year of highest earned degree will be later than the element 16: “Year of First Degree”.

Codes:
A four digit code indicating the year when the highest earned degree was obtained.
9998. If code 8 was used in element 18, then code 9998 should be shown for element 19.
9999. Unknown.

Element 20: Province or Country of Highest Degree

Description:
A five digit code to report the province or country of the highest earned degree (as reported in element 18).

Notes:
Please report the province in which the highest earned degree that was specified in element 18 was obtained. If outside of Canada, please report country.

Codes:
The list of province and country codes is given in element 15.
99899. If code 8 was used in element 18, then report code 99899.
99999. Unknown.

Element 21: Country of Citizenship at Time of Appointment

Description:
A five digit code to report the staff member's country of citizenship at the time that they were appointed to the institution (as reported in Element 26).

Codes:
The list of country codes is given in element 15.
99999. Unknown

Element 22: Rank

Description:
A one digit code to report the staff member’s current rank.

Codes:
1. Full professor
2. Associate professor
3. Assistant professor
4. Ranks/level below assistant professor: includes lecturers, instructors, and other teaching staff
5. Other: includes staff that do not fit in the categories described above (ungraded).

Element 23: Year of Appointment to Present Rank

Description:
A four digit element, to report the year in which the staff member attained his or her current rank (as reported in element 22).

Notes:
Please note the following when deciding what year to report:

(a) The service between the year of appointment to the current rank (as indicated in this element) and the present year must be both uninterrupted and full-time. It is recognized that leave can be granted without interrupting the continuous service.

(b) If the period of employment at the current rank has been interrupted ( i.e. , the staff member has severed his or her connection with the institution), the year of reappointment should be reported.

(c) It is quite possible that the year reported in this element will be the same as that reported in element 26 (“Year of Appointment to Institution”). This would occur when the staff member has not had a change in rank since his or her appointment (or reappointment) to the institution.

(d) The year should only change when a staff member has been promoted from one rank to the next. The year does not change when the administrative responsibilities change.

Codes:
Four digits of the year in which the staff member attained his or her present rank.
9999. Unknown

Element 24: Type of Appointment

Description:
A one digit element to report the type of appointment held by the staff member at the institution.

Notes:
Those teachers who have been granted tenure should be coded 1.

Teachers for whom, in the normal course of events, e.g. , after a certain period of time and, in some cases, upon completion of their doctorate, a tenure review is required by university policy are to be coded 2.

Staff for whom no tenure review is required should be coded 3. This category includes teachers hired for one year or more, with no formal commitment on the part of the university to renew their contract, although the contract may in fact be renewed (or have been renewed).

Those reported as code 4, visiting staff, should also have been reported as code 6 or 8 in Element 10 “Senior Administrative Responsibilities”.

Codes:
1. Tenured
2. Leading to tenure, probationary
3. Non – tenured staff. This could include annual, sessional or other definite term contracts. Other terms used to describe staff in this category are “full-time term employees”, “limited term positions”, and other contractual staff whose contracts are greater than 12 months.
4. Visiting staff, i.e. , staff with a permanent affiliation to another university or organization.
5. Other staff: staff that are not classified as 1, 2, 3 or 4 above

Element 25: Medical or Dental Appointment Category

Description:
A one digit element, to report the appointment category of the staff in the faculties of medicine (including veterinary medicine) and/or dentistry.

Notes:
Medical/dental teaching staff are defined as those who are teaching in department/programs which typically award/train students for either an MD or DDS degree (or post Md/DDS degrees). These staff should be coded as “0”, “1” or “2”. Please do not report other teaching staff who may be in the Faculty of Medicine or Dentistry who do not focus on the training of students in these fields (i.e. Nursing, Occupational Therapy etc). All other teaching staff should be coded as “9” (non medical /dental).

Codes:

Code 0: Regular full-time (12 months) academic staff

This is a regular academic appointment similar to that in any other faculty. The appointee receives his full salary from the institution. This category usually applies to all basic medical science departments and to other medical or dental staff who are not engaged in private practice. It also includes those staff who are supported by research grants but whose income is administered by the university. These staff are expected to hold some teaching responsibilities.

Code 1: Geographic full-time(12 months) academic staff

This category applies to all medical and dental staff who are engaged in the practice of medicine as well as teaching ( i.e. clinicians). Geographic full-time staff members usually receive an established percentage of their regular salary from the university and the remaining portion from provincial medical care institutions ( e.g. , hospitals) and/or medical care plans. In addition, they are entitled to earn an income (limited by a ceiling) for service to patients. The staff members are usually assigned to a specific hospital. Although they may receive only a percentage of their income from the university, they are counted as full-time members of the institution.

Please include all clinicians in this category.

Code 2: Full-time (12 months)joint appointments

This category includes medical and dental staff who have received a letter of appointment from both the university and one of the teaching hospitals. Salaries are paid by both institutions at an agreed upon ratio.

Exclusions:
The following categories of medical staff are to be excluded from the survey:

a) Major part-time
These staff members spend approximately 50% of their time in a teaching hospital. Their offices are not located in the hospital and there is no ceiling on the income they earn from outside patients although there is a ceiling on the earnings made through the clinical teaching units.

b) Part-time
These staff members are usually community practitioners who do not receive a formal letter of appointment from the institution but rather are engaged by department heads as demonstrators or teaching assistants. These casual staff members may teach both graduate and undergraduate students, on an average of several hours per week, and also may be involved in clinical research.

Codes:
0. Regular full-time academic staff member
1. Geographic full-time academic staff member
2. Full-time joint appointment
9. Not applicable (staff member is not in a faculty of medicine or dentistry)

Element 26: Year of Appointment to Institution

Description:
A four digit element to report the year of appointment (or reappointment) to a full-time position.

Notes:
Please note that the service between the year reported in this element and the present year must be both full-time and uninterrupted (i.e., the staff member has not severed his or her connection with the institution during this period). Leave (sabbatical, leave of absence, etc. ) should not be interpreted as interrupting the continuous service, i.e. , when a staff member goes on leave, it does not change his or her year of appointment to the institution. Similarly, if a staff member assumes a non-academic position in the university for a time and then returns to teaching, the period spent in that position should not be interpreted as interrupting continuous service. However, during the time the person holds such a position he or she should not be reported as a full-time teacher.

It does not matter whether the staff member's appointment was originally temporary, probationary or permanent or has been a series of one-year contracts. As long as the employment has been continuous from year to year and full- time in each year, the year of appointment should be reported as the earliest year in which the staff member joined the institution on a full-time basis. For example, in year 1, a staff member held a full-time probationary appointment which was made permanent in year 2. Year 1 would be reported as the year of appointment.

For the staff member who was employed full-time (12 months) during some past period, then, (1) severed his or her connection with the institution, or (2) he or she obtains a teaching position which is other than full-time (12 months), and was later re-hired to a full-time (12 months) position, the year of reappointment is the one that should be reported in this element.

Please note that the year of appointment to the institution (as reported in this element) cannot be later than the year of appointment to the present rank (element 23).

Codes:
Four digits of the year the staff member was appointed (or reappointed) to the institution.

Element 27: Principal Subject Taught

Description:
A four digit element describing the principal subject taught of the staff member.

Notes:
Please report using Classification of Instructional Programs ( CIP) at the 4 digit level. A listing is provided on the following pages. Please code this element according to the subject in which the staff member spends the largest portion of their teaching time.

For a more detailed description of each of the subject codes, please consult the full version of the CIP coding manual.
For staff members, who are on leave, please report the subject that they would have taught had the staff member been teaching.

Codes:
The list of 4 digit CIP codes is given on the following pages.
9998. Not applicable (researchers).

Table 5: CIP Codes

CIP Code Name
0100 Agriculture, General
0101 Agricultural Business and Management
0102 Agricultural Mechanization
0103 Agricultural Production Operations
0104 Agricultural and Food Products Processing
0105 Agricultural and Domestic Animal Services
0106 Applied Horticulture/Horticultural Business Services
0107 International Agriculture
0108 Agricultural Public Services
0109 Animal Sciences
0110 Food Science and Technology
0111 Plant Sciences
0112 Soil Sciences
0199 Agriculture, Agriculture Operations and Related Sciences, Other
0301 Natural Resources Conservation and Research
0302 Natural Resources Management and Policy
0303 Fishing and Fisheries Sciences and Management
0305 Forestry
0306 Wildlife and Wildlands Science and Management
0399 Natural Resources and Conservation, Other
0402 Architecture (BArch, BA/BSc, MArch, MA/MSc, PhD)
0403 City/Urban, Community and Regional Planning
0404 Environmental Design/Architecture
0405 Interior Architecture
0406 Landscape Architecture (BSc, BSLA, BLA, MSLA, MLA, PhD)
0408 Architectural History and Criticism
0499 Architecture and Related Services, Other
0501 Area Studies
0502 Ethnic, Cultural Minority and Gender Studies
0599 Area, Ethnic, Cultural and Gender Studies, Other
0901 Communication and Media Studies
0904 Journalism
0907 Radio, Television and Digital Communication
0909 Public Relations, Advertising and Applied Communication
0910 Publishing
0999 Communication, Journalism and Related Programs, Other
1101 Computer and Information Sciences and Support Services, General
1102 Computer Programming
1104 Information Science/Studies
1105 Computer Systems Analysis/Analyst
1107 Computer Science
1108 Computer Software and Media Applications
1109 Computer Systems Networking and Telecommunications
1110 Computer/Information Technology Administration and Management
1199 Computer and Information Sciences and Support Services, Other
1301 Education, General
1302 Bilingual, Multilingual and Multicultural Education
1303 Curriculum and Instruction
1304 Educational Administration and Supervision
1305 Educational/Instructional Media Design
1306 Educational Assessment, Evaluation and Research
1307 International and Comparative Education
1309 Social and Philosophical Foundations of Education
1310 Special Education and Teaching
1311 Student Counselling and Personnel Services
1312 Teacher Education and Professional Development, Specific Levels and Methods
1313 Teacher Education and Professional Development, Specific Subject Areas
1314 Teaching English or French as a Second or Foreign Language
1315 Teaching Assistants/Aides
1399 Education, Other
1401 Engineering, General
1402 Aerospace, Aeronautical and Astronautical Engineering
1403 Agricultural/Biological Engineering and Bioengineering
1404 Architectural Engineering
1405 Biomedical/Medical Engineering
1406 Ceramic Sciences and Engineering
1407 Chemical Engineering
1408 Civil Engineering
1409 Computer Engineering
1410 Electrical, Electronics and Communications Engineering
1411 Engineering Mechanics
1412 Engineering Physics
1413 Engineering Science
1414 Environmental/Environmental Health Engineering
1418 Materials Engineering
1419 Mechanical Engineering
1420 Metallurgical Engineering
1421 Mining and Mineral Engineering
1422 Naval Architecture and Marine Engineering
1423 Nuclear Engineering
1424 Ocean Engineering
1425 Petroleum Engineering
1427 Systems Engineering
1428 Textile Sciences and Engineering
1431 Materials Science
1432 Polymer/Plastics Engineering
1433 Construction Engineering
1434 Forest Engineering
1435 Industrial Engineering
1436 Manufacturing Engineering
1437 Operations Research
1438 Surveying Engineering
1439 Geological/Geophysical Engineering
1499 Engineering, Other
1515 Engineering/Industrial Management
1599 Engineering Technologies/Technicians, Other
1601 Linguistic, Comparative and Related Language Studies and Services
1602 African Languages, Literatures and Linguistics
1603 East Asian Languages, Literatures and Linguistics
1604 Slavic, Baltic and Albanian Languages, Literatures and Linguistics
1605 Germanic Languages, Literatures and Linguistics
1606 Modern Greek Language and Literature
1607 South Asian Languages, Literatures and Linguistics
1608 Iranian/Persian Languages, Literatures and Linguistics
1609 Romance Languages, Literatures and Linguistics
1610 Aboriginal Languages, Literatures and Linguistics
1611 Middle/Near Eastern and Semitic Languages, Literatures and Linguistics
1612 Classics and Classical Languages, Literatures and Linguistics
1613 Celtic Languages, Literatures and Linguistics
1614 Southeast Asian and Australasian/Pacific Languages, Literatures and Linguistics
1615 Turkic, Ural-Altaic, Caucasian and Central Asian Languages, Literatures and Linguistics
1616 Sign Language
1617 Second Language Learning
1699 Aboriginal and Foreign Languages, Literatures and Linguistics, Other
1900 Work and Family Studies
1901 Family and Consumer Sciences/Human Sciences, General
1902 Family and Consumer Sciences/Human Sciences Business Services
1904 Family and Consumer Economics and Related Services
1905 Foods, Nutrition and Related Services
1906 Housing and Human Environments
1907 Human Development, Family Studies and Related Services
1909 Apparel and Textiles
1999 Family and Consumer Sciences/Human Sciences, Other
2200 Non-professional General Legal Studies (Undergraduate)
2201 Law (LLB, JD, BCL)
2202 Legal Research and Advanced Professional Studies (Post-LLB/JD)
2299 Legal Professions and Studies, Other
2301 English Language and Literature, General
2304 English Composition
2305 English Creative Writing
2307 Canadian and American Literature
2308 English Literature (British and Commonwealth)
2310 English Speech and Rhetorical Studies
2311 English Technical and Business Writing
2399 English Language and Literature/Letters, Other
2401 Liberal Arts and Sciences, General Studies and Humanities
2501 Library Science/Librarianship
2599 Library Science, Other
2601 Biology, General
2602 Biochemistry/Biophysics and Molecular Biology
2603 Botany/Plant Biology
2604 Cell/Cellular Biology and Anatomical Sciences
2605 Microbiological Sciences and Immunology
2607 Zoology/Animal Biology
2608 Genetics
2609 Physiology, Pathology and Related Sciences
2610 Pharmacology and Toxicology
2611 Biomathematics and Bioinformatics
2612 Biotechnology
2613 Ecology, Evolution, Systematics and Population Biology
2699 Biological and Biomedical Sciences, Other
2701 Mathematics
2703 Applied Mathematics
2705 Statistics
2799 Mathematics and Statistics, Other
2805 Reserve Entry Scheme for Officers in the Armed Forces
2901 Military Technologies
3001 Biological and Physical Sciences
3005 Peace Studies and Conflict Resolution
3006 Systems Science and Theory
3008 Mathematics and Computer Science
3010 Biopsychology
3011 Gerontology
3012 Historic Preservation and Conservation
3013 Medieval and Renaissance Studies
3014 Museology/Museum Studies
3015 Science, Technology and Society
3016 Accounting and Computer Science
3017 Behavioural Sciences
3018 Natural Sciences
3019 Nutrition Sciences
3020 International/Global Studies
3021 Holocaust and Related Studies
3022 Classical and Ancient Studies
3023 Intercultural/Multicultural and Diversity Studies
3024 Neuroscience
3025 Cognitive Science
3099 Multidisciplinary/Interdisciplinary Studies, Other
3101 Parks, Recreation and Leisure Studies
3103 Parks, Recreation and Leisure Facilities Management
3105 Health and Physical Education/Fitness
3199 Parks, Recreation, Leisure and Fitness Studies, Other
3801 Philosophy, Logic and Ethics
3802 Religion/Religious Studies
3899 Philosophy and Religious Studies, Other
3902 Bible/Biblical Studies
3903 Missions/Missionary Studies and Missiology
3904 Religious Education
3905 Religious/Sacred Music
3906 Theological and Ministerial Studies
3907 Pastoral Counselling and Specialized Ministries
3999 Theology and Religious Vocations, Other
4001 Physical Sciences, General
4002 Astronomy and Astrophysics
4004 Atmospheric Sciences and Meteorology
4005 Chemistry
4006 Geological and Earth Sciences/Geosciences
4008 Physics
4099 Physical Sciences, Other
4201 Psychology, General
4202 Clinical Psychology
4203 Cognitive Psychology and Psycholinguistics
4204 Community Psychology
4205 Comparative Psychology
4206 Counselling Psychology
4207 Developmental and Child Psychology
4208 Experimental Psychology
4209 Industrial and Organizational Psychology
4210 Personality Psychology
4211 Physiological Psychology/Psychobiology
4216 Social Psychology
4217 School Psychology
4218 Educational Psychology
4219 Psychometrics and Quantitative Psychology
4220 Clinical Child Psychology
4221 Environmental Psychology
4222 Geropsychology
4223 Health/Medical Psychology
4224 Psychopharmacology
4225 Family Psychology
4226 Forensic Psychology
4299 Psychology, Other
4301 Criminal Justice and Corrections
4302 Fire Protection
4399 Security and Protective Services, Other
4400 Human Services, General
4402 Community Organization and Advocacy
4404 Public Administration
4405 Public Policy Analysis
4407 Social Work
4499 Public Administration and Social Service Professions, Other
4501 Social Sciences, General
4502 Anthropology
4503 Archeology
4504 Criminology
4505 Demography and Population Studies
4506 Economics
4507 Geography and Cartography
4509 International Relations and Affairs
4510 Political Science and Government
4511 Sociology
4512 Urban Studies/Affairs
4599 Social Sciences, Other
5001 Visual and Performing Arts, General
5002 Crafts/Craft Design, Folk Art and Artisanry
5003 Dance
5004 Design and Applied Arts
5005 Drama/Theatre Arts and Stagecraft
5006 Film/Video and Photographic Arts
5007 Fine Arts and Art Studies
5009 Music
5099 Visual and Performing Arts, Other
5100 Health Services/Allied Health/Health Sciences, General
5101 Chiropractic (DC)
5102 Communication Disorders Sciences and Services
5104 Dentistry (DDS, DMD)
5105 Advanced/Graduate Dentistry and Oral Sciences (Cert., MSc, PhD)
5106 Dental Support Services and Allied Professions
5107 Health and Medical Administrative Services
5109 Allied Health Diagnostic, Intervention and Treatment Professions
5110 Clinical/Medical Laboratory Science and Allied Professions
5111 Health/Medical Preparatory Programs
5112 Medicine (MD)
5114 Medical Scientist (MSc, PhD)
5115 Mental and Social Health Services and Allied Professions
5116 Nursing
5117 Optometry (OD)
5118 Ophthalmic and Optometric Support Services and Allied Professions
5119 Osteopathic Medicine/Osteopathy (DO)
5120 Pharmacy, Pharmaceutical Sciences and Administration
5121 Podiatric Medicine/Podiatry (DPM)
5122 Public Health
5123 Rehabilitation and Therapeutic Professions
5124 Veterinary Medicine (DVM)
5125 Veterinary Biomedical and Clinical Sciences (Cert., MSc, PhD)
5127 Medical Illustration and Informatics
5131 Dietetics and Clinical Nutrition Services
5132 Bioethics/Medical Ethics
5133 Alternative and Complementary Medicine and Medical Systems
5134 Alternative and Complementary Medical Support Services
5135 Somatic Bodywork and Related Therapeutic Services
5136 Movement and Mind-Body Therapies
5137 Energy-based and Biologically-based Therapies
5199 Health Professions and Related Clinical Sciences, Other
5201 Business/Commerce, General
5202 Business Administration, Management and Operations
5203 Accounting and Related Services
5204 Business Operations Support and Assistant Services
5205 Business/Corporate Communications
5206 Business/Managerial Economics
5207 Entrepreneurial and Small Business Operations
5208 Finance and Financial Management Services
5209 Hospitality Administration/Management
5210 Human Resources Management and Services
5211 International Business/Trade/Commerce
5212 Management Information Systems and Services
5213 Management Sciences and Quantitative Methods
5214 Marketing
5215 Real Estate
5216 Taxation
5217 Insurance
5218 General Sales, Merchandising and Related Marketing Operations
5219 Specialized Sales, Merchandising and Marketing Operations
5220 Construction Management
5299 Business, Management, Marketing and Related Support Services, Other
5401 History
5501 French Language and Literature, General
5503 French Composition
5504 French Creative Writing
5505 French Canadian Literature
5506 French Literature (France and the French Community)
5507 French Speech and Rhetorical Studies
5508 French Technical and Business Writing
5599 French Language and Literature/Letters, Other
6001 Dental Residency Programs
6002 Medical Residency Programs
6003 Veterinary Residency Programs
9998 Not applicable - Researchers

Consumer Price Index: A preview of the upcoming basket update

On June 29, 2011, with the release of the May 2011 Consumer Price Index (CPI), Statistics Canada will update the basket of goods and services used in the calculation of the Index.

Statistics Canada updates the basket periodically to ensure the CPI's reliability, as it is used for three key purposes: as a measure of inflation; as a statistical series deflator; and as a tool for indexing various public and private transfer payments.

This update will introduce a revised weighting pattern for the CPI to reflect the latest available information on the consumption patterns of Canadian households.

The weights used for the CPI are primarily derived from Statistics Canada's Survey of Household Spending. The new weighting pattern will replace the current 2005 weights and will be based on 2009 consumer expenditures.

Also, to allow for the representation of emerging technologies and services in the market place, several changes will be made to the expenditure classes that make up the CPI basket. For example:

"Telephone equipment" has been added to the "Communications" class and will be made publicly available.

A new class, "Multipurpose digital devices", has been created to measure price changes for emerging consumer technologies, such as tablet computers and smartphones. This class will appear alongside "Computer equipment and supplies", under "Digital computing equipment and devices".

The class below "Other household services" will now include "Legal services not related to the dwelling", "Funeral services", "Government services", and "Retail club memberships". Weights for these items have, for the first time, been explicitly included in the CPI basket thus, in effect, expanding its coverage and scope. Similarly, "Financial services" will now include "Stock and bond commissions" and "Financial administrative and management fees".

In addition, to enhance the distinction between the goods price index and the services price index, a new published class, "Recreational services", was created. It includes the formerly published "Photographic services" class and other recreational services. Another new class, "Other recreational equipment", was created by splitting it away from what was formerly known as "Other recreational equipment and services".

There are no major changes to price measurement methodologies. The CPI's base year will remain 2002 = 100. To satisfy the needs of certain users, an all-Items CPI with a base year of 1992 = 100 will continue to be available.

For more information, contact the Dissemination Unit (toll-free 1-866-230-2248; 613-951-9606; fax: 613-951-2848; cpd-info-dpc@statcan.gc.ca), Consumer Prices Division.

Canadian Health Measures Survey (CHMS) Cycle 1 Wave 2 Derived Variable (DV) Specifications

Introduction
Serum tests (1 DV)
Urine tests (1 DV)
Whole blood tests (1 DV)

Introduction

The Canadian Health Measures Survey (CHMS) is the most extensive national survey on physical health measures ever conducted in the country. Data collection consists of two steps, a personal interview at the respondent’s household followed later by a visit to the CHMS mobile clinic where physical measurements and blood and urine samples are taken.

The CHMS captures a broad portrait of the health of Canadians by gathering baseline data on a variety of concerns, including cardiovascular health, nutritional status, chronic diseases and physical activity, as well as exposure to infectious diseases and environmental contaminants. The survey collects health information that can’t be otherwise captured, or that may be inaccurately reported, through self-report questionnaires or health care records.

The CHMS is conducted by Statistics Canada in partnership with Health Canada and the Public Health Agency of Canada.

During CHMS cycle 1, physical measurements were collected in 15 sites across Canada from about 5,600 people representing the Canadian population aged 6 to 79. Collection sites were located in five provinces: New Brunswick, Quebec, Ontario, Alberta and British Columbia. Collection started in March 2007 and continued until February 2009. Data are representative at the national level.

This publication is part of the release of CHMS data beginning in January 2010. It provides information on the composition of the derived variables created both during and after data processing for the Wave 2 release. Additional volumes will be provided for future releases.

For additional information about the Canadian Health Measures Survey:
Toll-free number: 1-888-253-1087
E-mail: chms-ecms@statcan.gc.ca
Telecommunication device for the hearing impaired: 1-866-753-7083
Statistics Canada website: www.statcan.gc.ca/chms

Serum tests (1 DV)

LABDTCHR – Total cholesterol / HDL ratio

Variable name:
LABDTCHR

Based on:
LAB_CHOL, LAB_HDL

Description:
This variable indicates the ratio of total cholesterol to High Density Lipoprotein (HDL) in the serum sample of the respondent.

Note:
Created in the lab post-verify process. BD represents data that is below the limit of detection and is replaced in processing with a code (i.e. 99.95).

Table 1
LABDTCHR Specifications
Value Condition(s) Description Notes
LAB_CHOL / LAB_HDL LAB_CHOL < BD and LAB_HDL < BD Total cholesterol / HDL ratio  
99.96 LAB_CHOL = NA and LAB_HDL = NA Population exclusions NA
99.99 Else   NS

Urine tests (1 DV)

LABDICR – Iodine / creatinine ratio

Variable name:
LABDICR

Based on:
LAB_IDNE, LAB_UCRE

Description:
This variable indicates the ratio of iodine to creatinine in the urine sample of the respondent and is impacted by what the respondent has eaten the day before. Iodine/creatinine ratio is measured in nanomoles per millimole (nmol/mmol).

Note:
Created in the lab post-verify process. BD represents data that is below the limit of detection and is replaced in processing with a code (i.e. 9995).

Table 2
LABDICR Specifications
Value Condition(s) Description Notes
(LAB_IDNE * 1000) / LAB_UCRE LAB_IDNE < BD and LAB_UCRE < BD Iodine/creatinine ratio  
9996 LAB_IDNE = NA Population exclusions NA
9999 Else   NS

Whole blood tests (1 DV)

LABDRBCF – Red blood cell folate

Variable name:
LABDRBCF

Based on:
LAB_FOL, CBC_HCT

Description:
This variable indicates the amount of folic acid (folate) found in the haematocrit of the respondent and is measured in nanomoles per litre (nmol/L). Haematocrit is a measure of the volume of red blood cells as a percentage of total blood volume.

Note:
Created in the lab post-verify process. BD represents data that is below the limit of detection and is replaced in processing with a code (i.e. 9995).

Table 3
LABDRBCF Specifications
Value Condition(s) Description Notes
(LAB_FOL * 26) / CBC_HCT) LAB_FOL < BD and CBC_HCT < BD Red blood cell folate  
9996 LAB_FOL = NA Population exclusions NA
9999 Else   NS

Table 1 Data accuracy measures, Canada and Response rates, Canada

Data accuracy measures, Canada
  2009 2009 2009 2009 2010 2010 2010 2010
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
Total operating revenue 1.5% 1.6% 1.3% 1.3% 1.6% 1.4% 1.8% 1.6%
CV from 0.01% to 4.99% is excellent
CV from 5.00% to 9.99% is very good
CV from 10.00% to 14.99% is good
CV from 15.00% to 24.99% is acceptable
CV from 25.00% to 34.99% should be used with caution
CV is 35.00% or higher is unreliable

 

Response rates, Canada
  2009 2009 2009 2009 2010 2010 2010 2010
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
Weighted response rate 74% 81% 79% 74% 77% 78% 78% 82%

 

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