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

Authority: Collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S19. Completion of this questionnaire is a legal requirement under the Statistics Act.

Purpose: This information is required to provide private industry, farmers and government with accurate and timely milling data.

Data sharing: To reduce response burden and to ensure more uniform statistics, Statistics Canada has entered into an agreement under Section 12 of the Statistics Act with the Ontario Ministry of Agriculture, Food and Rural Affairs for the sharing of information from this survey. You may refuse to share your information with the Ontario Ministry by writing to the Chief Statistician and returning your letter of objection along with the completed questionnaire in the enclosed return envelope.

  • Report for the month of

Instructions: Return your completed questionnaire by mail to Agriculture Division, Statistics Canada, Ottawa (Ontario), K1A 0T6 or by facsimile to (613) 951-3868. Statistics Canada advises you that there could be a risk of disclosure of your information if you choose to return it by fax, e-mail or other electronic means. Upon receipt of your information, Statistics Canada will provide the level of protection required by the Statistics Act. If you have any questions, please contact the Grain Marketing Unit at (613) 951-3050.

  1. Number of days mill operated this month
  2. Flour mill capacity (24 hour day) (in tonnes)

Wheat milled

  1. Quantity milled (tonnes)
  2. Stocks of wheat at month-end (Include wheat in mill bins and in unlicensed storage. Exclude wheat owned by your firm in licensed elevators)
  • CW Red Spring (include EXTSTRG and FEED)
  • CW Red Winter
  • CW Soft White Spring
  • CW Amber Durum
  • Canada Prairie Spring (Red or White)
  • CW Hard White Spring
  • All Other Western Wheat (specify)
  • Ontario Wheat:
    • Winter 
    • Spring 
  • Quebec Wheat:
    • Spring
    • Winter
  • All Other Eastern Wheat (specify)
  • Imports (specify)
  • Total wheat

Wheat flour

  1. Quantity produced (tonnes)
  2. Stocks of flour at month-end (tonnes)
  • Spring No. 1 or top patent (including semolina)
  • Spring No. 2 patent (including baker's)
  • Spring No. 3 patent (including export patent)
  • Whole wheat and graham flour
  • Soft wheat flour  
  • Durum semolina and flour
  • Lower grades of flour
  • Total flour

Wheat offal

  1. Quantity produced (tonnes)
  2. Stocks of millfeeds at month-end (tonnes)
  • Wheat millfeeds

Coarse grains milled (Exclude grindings for animal feed)

  1. Quantity Milled (tonnes)
    1. Total
    2. Eastern Grown
    3. Western Grown
    4. Imported
  2. Stocks of coarse grains at month-end in mill bins and unlicensed storage. Exclude grain in licensed elevators. (tonnes)
  • Oats
  • Barley
  • Rye
  • Corn
  • Semi-processed grain e.g. oat groats (specify)
  • Other grain (specify)

Coarse grains products

  1. Quantity produced (tonnes)
  2. Stocks of coarse grain products at month-end (tonnes)
  • Oats:
    • Oat Flour
    • Oatmeal
    • Rolled oats
    • Oat groats
  • Barley:
    • Barley Flour
    • Barley Meal 
    • Pot and Pearl Barley
  • Rye:
    • Rye Flour
    • Rye Meal
  • Corn:
    • Corn Flour
    • Corn Meal
    • Corn Grits, all types
    • Corn hominy
  • Other (specify)
  • Total offal (bran, hulls, etc. ) produced when milling the coarse grain shown above
  • Contact Person
  • E-mail Address
  • Telephone No.

Comments: Please indicate any unusual events which may affect the data of this month such as maintenance or holiday shutdowns, strikes or other changes in operation.

Indirect Sampling and Population Difficult to Reach (Course code 0417A)

Purpose

To familiarize the participants with Indirect Sampling and the Generalised Weight Share Method; apply these methods for surveying difficult to reach populations.

Benefits to participant

Participants will benefit from a thorough description of Indirect Sampling, together with its related weighting method: the Generalised Weight Share Method. The content is of current interest: we are more and more interested in producing statistics for populations for which there is no sampling frame, or where the development of a frame would be too expensive.

The emphasis will be put on Indirect sampling, which is a generalisation of well-known sampling methods for populations difficult to reach: Network Sampling, Adaptive Cluster Sampling and Snowball Sampling.

The course will involve the study of real problems to solve, in order to facilitate the understanding of the basic notions. Thus, by having discussions with the participants, and with the professor as a moderator (and a motivator!), the basic notions will become clearer for solving real needs in sampling. For the most complicated notions, teaching will be done in a classical way, with references to current surveys.

Target population

Employees who develop and implement complex sampling plans for surveying populations difficult to reach, either for the social or business sectors.

Course outline

Indirect Sampling, The Generalised Weight Share Method (GWSM), Properties of the GWSM, Other generalisations of the GWSM, Fair Share Method, Ernst's (1989) contribution, Network Sampling, Adaptive Cluster Sampling, ‘Snowball’ Sampling

Prerequisite

Advanced knowledge of mathematical statistics and basic knowledge in sampling theory.

Duration

1 day

Related Courses

STC0413 Statistical Sampling Theory

Introduction to Record Linkage (Course code 0419)

Purpose

To provide an overview of record linkage, focusing mainly on probabilistic linkage

Benefits to participants

Participants will explore one-file and two-file linkages including planning, preprocessing, weighted comparison rules, iterative linkage development, mapping for business logic and batch mode. They will also learn about the Statistics Canada linkage context. The participants will also do a short project using G-Link interspersed with lecture content.

Target population

Professionals involved or about to be involved in record linkage activities.

Course outline

  • Overview of record linkage
  • Definitions and concepts related to probabilistic linkage
  • Probabilistic record linkage steps and theory (including practical tutorial)
  • Current challenges in record linkage research
  • Processes and policy around record linkage at Statistics Canada

Prerequisite

A solid understanding of functions and probability will be helpful.

Delivery type: Virtual instructor-led

Duration: 8 days (2hrs per session)

Contact:
If you have questions or to register to the course, contact us at statcan.msmdsstatstraining-msmsdformationstats.statcan@statcan.gc.ca.

The Components of Time Series (Course code 0431)

Purpose

Most of the data published by statistical agencies consist of time series, which is of figures measuring the evolution of socio-economic variables through time. In modern economies, time series data assist governments, businesses and socio-economic actors in their decision making. Based on the movements recorded in time series, governments initiate policies designed to curb unemployment, inflation, etc.; corporations accelerate or slow down the production of goods and services; unions closely monitor the labour market situation to negotiate appropriate wages. Even consumers, more or less systematically, use time series to decide whether the time is right to purchase a house, an automobile, whether to look for a job, etc. Thus, a good understanding of time series translates into better decision-making by everyone and into increased prosperity.

Benefits to participants

This course will enable the participants to recognize, understand and interpret the components present in time series: the trend-cycle, the seasonality, the trading-day effect, the Easter effect, and the irregular. They will get to know different types of outliers and the graphical representation of data.

Target population

The course targets a broad audience: professional and semi-professional social scientists and statisticians, authors, and editors of publications. The content of the course is relatively non-technical but provides notions critical to the understanding of time series.

Course outline

The course examines in depth the components of time series:

  • the trend, which reflects the long-term evolution of the variable of interest,
  • the business cycle, which reflects current conditions, e.g., prosperity, recession,
  • seasonality, which originates from climatic and institutional factors and tends to recur year after year in a predictable manner,
  • the trading-day variations caused by the different relative importance of days of the week, and other calendar variations caused by changes in the dates of holidays, e.g., Easter.

The course also stresses the meaning and limitations of same-month (from year to year) and of month-to-month comparisons, in the presence of seasonality and other time series components. This course assumes that the components of time series are known and does not cover the estimation of the components. That is done in a more technical and specialized course on seasonal adjustment.

Other Related Courses

The course is a desirable prerequisite for other courses, namely STC0434 Seasonal Adjustment with the X-12-ARIMA Method.

Delivery type: Virtual instructor-led

Duration: 3 half-days

Contact:
If you have questions or to register to the course, contact us at statcan.timeseriessupportsoutienenserieschronologiques.statcan@statcan.gc.ca.

Seasonal Adjustment with the X-12-ARIMA (Course code 0434)

Purpose

This course is on the X-12-ARIMA seasonal adjustment method to estimate the trend-cycle, seasonal, holiday, trading-day and irregular components of a time series. The course includes theory and demonstrations of the seasonal adjustment softwares. The purpose of this course is:

  • to understand the components of time series;
  • to get familiar with the options and statistical methods used in X-12-ARIMA;
  • to learn how to assess the quality of the seasonal adjustment results;
  • to become familiar with the X-12-ARIMA software and/or the interface to run it;
  • to become familiar with X13graphjava tool to produce specialized graphs related to the time series components.

Benefits to participants

Upon completion of the course, the participants will be more familiar with many options in the X-12-ARIMA program and therefore will be able to better assess the quality of a seasonal adjustment. They will see through demonstrations how to apply the methods to select options for the X-12-ARIMA method and assess the obtained results. The course is theoretical and technical.

Target population

This course is intended for employees involved or interested in the production and analysis of seasonally adjusted series.

Course outline

The course examines

  • the components of time series (summary);
  • the calculations done in the method, such as moving averages and treatment of extreme observations;
  • the choice of the decomposition model;
  • the ARIMA forecasting as part of the X-12-ARIMA method;
  • the estimation of calendar effects such as the Easter and trading day effects and the treatment of outliers by ARIMA regression;
  • the direct versus the indirect seasonal adjustment;
  • the tests used to assess the results of the seasonal adjustment;
  • the overall strategy and criteria which should be used to do seasonal adjustment;
  • and how to do all of the above specifically with the X-12-ARIMA program.

Other Related Courses

The course is specialized and requires basic statistical knowledge. The course STC0431. The components of Time Series should be taken first.

Delivery type: Virtual instructor-led

Duration: 3 half-days

Contact:
If you have questions or to register to the course, contact us at statcan.timeseriessupportsoutienenserieschronologiques.statcan@statcan.gc.ca

Statistical Methods for Quality Control (Course code 0446)

Purpose

To provide an overview of the concepts of statistical quality control (SQC).

Benefits to participants

The course will discuss the methods of statistical quality control within a broader framework of quality assurance and management. The course will define the various aspects of quality and address the issues of planning for quality as they relate to survey operations and processes. Statistical methods for quality control will be discussed. These include acceptance sampling, statistical process control and Schilling's acceptance control strategy for the efficient administration of SQC. The use and application of various quality tools such as Pareto analysis, cause & effect diagrams, flow charting, etc., for generating quality improvements will also be addressed. The course will involve the practical application of concepts through the use of case studies and group workshops each day.

Target population

Professionals who wish to have an overview of the concepts of statistical quality control (SQC).

This course is mathematical in nature and will contain some theoretical formulas and statistical concepts. People wishing for a more practical introduction to quality control should refer to the course "Quality Control Methods for Survey Operations" STC#0445.

Course outline

  • Planning for Quality
  • Principles of Statistical Quality Control
  • Acceptance Sampling Techniques
  • Statistical Process Control
  • Administration of Statistical Quality Control
  • Quality Improvement Methods & Tools

Prerequisite

A general knowledge of basic statistics is required.

Duration: 3 days (include group workshops each day)

October Hog Survey, 2010

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

The purpose of this survey is to collect information on the hog industry. The statistics produced from the survey enable those active in the agricultural sector to observe and assess changes in the industry, measure performance and keep the agricultural community and general public informed of developments.

Statistics Canada is collecting information concerning the farm described on the label. If the operators of this holding manage any other farm(s) entirely separate from this farm (i.e., separate accounting books are kept), please do not include any data for the other farm(s) on this questionnaire.

Instructions

When answering the questions:

Include all pigs on all sites (or barns) on your operation as of October 1, 2010, regardless of ownership, including pigs custom fed or fed under contract for others.

Do not include pigs which are owned by you but kept on a farm or feedlot operated by someone else.

Section A - Inventory

1a. On October 1, 2010 do you expect to have any pigs (on this operation)?

  • Yes
  • No (Go to Question 1b.)

1b. Were there any pigs on this operation during the past quarter (July, August and September 2010)?

  • Yes Go to Section B, questions 6
  • No Go to Section D

2. How many of the following do you expect to have on this operation on October 1, 2010?

  • i) Sows and gilts kept for breeding
  • ii) Boars kept for breeding
  • iii) Suckling pigs
  • iv) Weanling, nursery, or starter pigs
  • v) Market pigs, 50 pounds and over (23 kg and over)

3. What will be the total pig inventory on October 1, 2010 on this operation?

4. Of the sows and gilts kept for breeding reported in question 2, box 606, what percent would have farrowed at least once?

5. Of the market pigs reported in question 2, box 653, what number or percent are in the following three categories? Please report as a number or %

i) over 179 pounds (81 kg)
ii) between 120 to 179 pounds (54 to 81 kg)
iii) under 120 pounds (54 kg)?
(Exclude weanling, nursery, or starter pigs)

Section B - Farrowings

6. During the last quarter (July, August and September 2010) how many sows and bred gilts farrowed?

Quarterly
Monthly
Bi-Weekly
Weekly
If none, go to question 10

7. Compared with the last quarter, what is the expected percent change to farrowings in:

i) October, November and December 2010?
Increase
Decrease
No change

ii) January, February and March 2011?
Increase
Decrease
No change

8. On average, how many pigs were born per litter during the last quarter (July, August and September 2010)?

9. Of the pigs born last quarter (July, August and September 2010), what percentage died or were destroyed before weaning?

Section C - Shipments

10. In the last quarter (July, August and September 2010), how many market pigs will this operation have shipped to a slaughter facility?
If none, go to question 12

11. Of those market pigs shipped to slaughter, what number or percent will be shipped to a facility in:
Please report as a number or %

  • i) the United States
  • ii) another province
  • iii) within province

12. In the last quarter (July, August and September 2010), how many weanling, nursery, or starter pigs will this operation have shipped to another operation for feeding purposes?

If none, go to Section D

13. Of those weanling, nursery, or starter pigs shipped for feeding purposes, what number or percent will be shipped to another operation in:
Please report as a number or %

  • i) the United States
  • ii) another province
  • iii) within province

Comments:

Section D - General Information

Confidentiality

Your answers are confidential.

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

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

Record linkages

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

Data-sharing agreements

To avoid duplication of enquiry, Statistics Canada has entered into data-sharing agreements with provincial statistical agencies, which must keep the data confidential and use them only for statistical purposes. Statistics Canada will only share data from this survey with those organizations that have demonstrated a requirement to use the data.

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

For this survey, there are Section 11 agreements with the provincial statistical agencies of Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia.

The shared data will be limited to information pertaining to farm operations located within the jurisdiction of the respective province.

Section 12 of the Statistics Act provides for the sharing of information with federal and provincial government organizations. Under Section 12, you may refuse to share your information with any of these organizations by writing a letter of objection to the Chief Statistician at the address below. Please specify the name of the survey and the organizations with which you do not want to share your data.

  • Statistics Canada
  • Chief Statistician
  • R. H. Coats Building, 26th Floor, Section A
  • 100 Tunney's Pasture Driveway
  • Ottawa, Ontario K1A 0T6

For this survey, there are Section 12 agreements with the the Ontario Ministry of Agriculture, Food and Rural Affairs, the Manitoba Department of Agriculture, Food and Rural Initiatives, the Saskatchewan Ministry of Agriculture and the British Columbia Ministry of Agriculture and Lands.

For agreements with provincial government organizations, the shared data will be limited to information pertaining to farm operations located within the jurisdiction of the respective province.

The LFS application consists of several questionnaire components (Contact,Household, Demographics, Rent, Labour Force Information and Exit), each ofwhich is summarized below, followed by the lists of codesets. Each of thequestionnaire components is comprised of a number of question blocks. Forsimplicity, as a result of the complexity of the logic within the application,not all possible questions and flows are presented. This is especially thecase within the Contact Component where the scope of possible questions andflows is somewhat greater than that summarized below.

Selected dwellings are in the survey for six consecutive months. A birthinterview corresponds to the first interview for a new household, and is usuallyconducted in person. Some birth interviews are now also conducted by telephonefrom centralized CATI work sites. Subsequent interviews are conducted in thefollowing months, and are usually done by telephone.

Contact component

The following information is collected at the start of each contact attempt.

II_R01A — Hello, I’m calling from Statistics Canada. Myname is …
If interview in person, go to IC_R01
If birth interview by telephone, go to AR_Q01
If subsequent interviewby telephone, go to SR_Q01

SR_Q01 — May I speak with … ?
If “Speaking”,go to IC_R01
If “Available”, go to II_R01B
If “Not available” or “No longer a household member”,go to AR_Q01
If “Wrong number”, go to TC_Q01

II_R01B — Hello, I’m calling from Statistics Canada. Myname is …
Go to IC_R01

TC_Q01 — I would like to make sure I’ve dialed theright number. Is this [telephone number]?
If yes, go to AR_Q01
If no, thank person and end call

AR_Q01 — May I speak with an adult member of the household?
If “Speaking” and CATI birth interview, go to TFCC_Q01
If “Speaking” and not CATI birth interview,go to IC_R01
If “Available”, go to II_R01C
If “Not available” and birth interview, go to ARA_Q01
If “Not available” and subsequent interview and SR_Q01= “Notavailable”, go to SRA_Q01
If “Not available” andsubsequent interview and SR_Q01= “No longer a household member”or “Wrong number”, go to ARA_Q01

II_R01C — Hello, I’m calling from Statistics Canada. Myname is …
If CATI birth interview, go to TFCC_Q01
If not CATI birth interview, go to IC_R01

SRA_Q01 — I would like to contact … When would he/shebe available?
If “Available”, make appointment and thenthank person and end call
If “Not available”, go toARA_Q01

ARA_Q01 — When would an adult member of the household beavailable?
If “Available”, make appointment and thenthank person and end call
If “Not available”, thankperson and end call

TFCC_Q01 — In order to make sure I’ve reached the correcthousehold, I need to confirm your address. Is it: [listing address]?
If yes, go to IC_R01
If no, go to TFCC_Q02

TFCC_Q02 — I would like to make sure I’ve dialed theright number. Is this [telephone number]?
Thank person and end call

IC_R01
I’m calling regarding the Labour Force Survey.

LP_Q01 — Would you prefer to be interviewed in English orin French?
If CATI interview, go to MON_R01
If not CATI interview, go to Household Component

MON_R01
My supervisor may listen to this call for the purposeof quality control.

Household and demographics component

Household blocks

LA_N01
If CATI birth interview, go to MA_Q01 
If subsequentinterview in person, go to CMA_Q01 
If subsequent interview by telephone,go to SD_Q01 
Confirm the listing address.
Go to MA_Q01

SD_Q01 — I would like to confirm your address. Are you stillliving at [listing address]?
If yes and listing address is the sameas mailing address, go to CHM_Q01
If yes and listing address isdifferent from mailing address, go to CMA_Q01
If no, go to SD_Q02
If “Respondent never lived there”, go to SD_Q05

SD_Q02 — Does anyone who was living with you at that addressstill live there?
If yes, go to SD_Q03
If no, thank personand end call

SD_Q03 — Can you provide me with the current telephone numberfor that address?
If yes, go to SD_Q04
If no, thank personand end call

SD_Q04 — What is that telephone number, including the areacode?
Thank person and end call

SD_Q05 — I would like to make sure I’ve dialed theright number. Is this [telephone number]?
Thank person and end call

CHM_Q01 — Is this also your mailing address?
Ifyes, go to TN_Q01
If no, go to MA_Q01

CMA_Q01 — I would like to confirm your mailing address. Isit: [mailing address]?
If yes, go to TN_Q01
If no, goto MA_Q01

MA_Q01 — What is your correct mailing address?
If birth interview in person, go to DW_N02
If birth interview bytelephone, go to DW_Q01
If subsequent interview, go to TN_Q01

DW_Q01 — What type of dwelling do you live in? Is it a:
Readcategories to respondent.
Go to TN_Q01

DW_N02
Select the dwelling type.

TN_Q01 — Is this dwelling owned by a member of this household?

RS_R01
The next few questions ask for important basic informationabout the people in your household.
If birth interview, go to USU_Q01
If subsequent interview, go to PV2_Q01

USU_Q01 — What are the names of all persons who usually livehere?
Begin with adults who have responsibility for the care orsupport of the family.

RS_Q02 — Is anyone staying here temporarily?
Ifyes, go to TEM_Q01
If no, go to RS_Q04

TEM_Q01 — What are the names of all persons who are stayinghere temporarily?
Add a person only if he/she has no other usualresidence elsewhere.

RS_Q04 — Are there any other persons who usually live herebut are now away at school, in hospital, or somewhere else?
If yes,go to OTH1_Q01
If no, go to Individual Demographics

OTH1_Q01 — What are the names of the other people who liveor stay here?
Add a person only if he/she has no other usual residenceelsewhere.
Go to Individual Demographics

PV2_Q01 — Do the following people still live or stay in thisdwelling?
If yes, go to RS_Q05
If no, go to RES_Q02

PV2_Q01_RES_Q02 — Is … no longer a member of the householdor deceased?

RS_Q05 — Does anyone else now live or stay here?
If yes, go to OTH2_Q01
If no, go to Individual Demographics

OTH2_Q01 — What are the names of the other people who liveor stay here?
Add a person only if he/she has no other usual residenceelsewhere.

Demographics blocks

The following demographic information is collected for each household member.

ANC_Q01 — What is …’s date of birth?

ANC_Q02 — So …’s age on [date of last day ofreference week] was[calculated age]. Is that correct?
If yes, goto SEX_Q01
If no, go to ANC_Q03

ANC_Q03 — What is …’s age?

SEX_Q01
Enter …’s sex.

MSNC_Q01
If age<16, go to FI_N01
What is …’smarital status? Is he/she:
Read categories to respondent.

FI_N01
Enter …’s family identifier: A to Z.
Assignthe same letter to all persons related by blood, marriage or adoption.

RR_N01
Determine a reference person for the family and select…’s relationship to that reference person. The reference personshould be an adult involved in the care or support of the family.

IMM_Q01 — In what country was … born?
Specifycountry of birth according to current boundaries.
If 01-Canada,go to ABO_Q01

IMM_Q02 — Is ... now, or has he/she ever been, a landedimmigrant in Canada?
A landed immigrant (permanent resident) is a personwho has been granted the right to live in Canada permanently by immigrationauthorities.
If yes, go to IMM_Q03
If no, go to ABO_Q01

IMM_Q03 — In what year did … first become a landedimmigrant?
Year:

IMM_Q04
If IMM_Q03 is more than five years ago go toABO_Q01
In what month?
Month:

ABO_Q01
If Country of Birth is not Canada , USAor Greenland go to ED_Q01
Is ... an Aboriginal person, thatis, North American Indian, Métis or Inuit?
If yes, go toABO_Q02
If no, go to ED_Q01

ABO_Q02
If respondent has already specified the Aboriginal group(s),select the group(s) from list below; if not, ask: Is ... a North AmericanIndian, Métis or Inuit?
Mark all that apply.

ED_Q01
If age<14, go to CAF_Q01
What is the highestgrade of elementary or high school … ever completed?
If “Grade 8 orlower” or “Grade 9 – 10”, go to ED_Q03 
If“Grade 11 – 13”, go to ED_Q02

ED_Q02 — Did … graduate from high school (secondaryschool)?

ED_Q03 — Has … received any other education that couldbe counted towards a degree, certificate or diploma from an educational institution?
If yes, go to ED_Q04
If no, go to CAF_Q01

ED_Q04 — What is the highest degree, certificate or diploma… has obtained?

CHE_Q01
If (Country of Birth is Canada ) or (IMM_Q02 isNo) or (respondent has not received a post-secondary degree, certificate ordiploma) go to CAF_Q01 
In what country did … complete his/herhighest degree, certificate or diploma?
Specify country of highesteducation according to current boundaries.

CAF_Q01
If age<16 or age>65, go to ANC_Q01 fornext household member
Is … a full-time member of the regularCanadian Armed Forces?

For each person aged 15 or over who is not a full-time memberof the regular armed forces complete the Labour force information component.

Rent component

The Rent Component is generated only for cases where the answer to TN_Q01 (“Isthis dwelling owned by a member of this household?”) in the HouseholdComponent is “No”, and province/territory is not YukonTerritory, Northwest Territories or Nunavut.

RRF_R01

The next few questions are about your rent. The information collectedis used to calculate the rent portion of the Consumer Price Index.

RM_Q01
If rent information exists from the previous month,go to RM_Q04
If dwelling type is not “Low-rise apartment”and not “High-rise apartment”, go to RM_Q02
On which floor do you live?

RM_Q02 — To the best of your knowledge, how old is your building?

RM_Q03 — How many bedrooms are there in your dwelling?

RM_Q04 — This month, is the rent for your dwelling subsidizedby government or an employer, or a relative?
If yes, go to RM_Q04A
If no, go to RM_Q05

RM_Q04A — In what manner is the rent for your dwelling subsidized?

RM_Q05 — This month, is the rent for your dwelling appliedto both living and business accommodation?
If yes, go to RM_Q05A
If no, go to RM_Q06

RM_Q05A — Does the business affect the amount of rent paid?

RM_Q06 — How much is the total monthly rent for your dwelling?
If $0, go to RM_Q07
If >$0, go to RM_Q08

RM_Q07 — What is the reason that the rent is $0?
If RM_Q04 = yes, go to end of Rent Component

RM_Q08
If rent information does not exist from theprevious month, go to RM_Q09B
If there has been a complete change inhousehold membership, go to RM_Q09B
If RM_Q04 = yes, go to RM_Q09B
Since last month, have there been any changes in the amount of rent paid?
If yes, go to RM_Q08A
If no, go to RM_Q09B

RM_Q08A — What is the reason for the change in rent since lastmonth?
Mark all that apply.

RM_Q09B
If dwelling type is not “Low-rise apartment”and not “High-rise apartment”, go to RM_Q14
If rentinformation exists from the previous month and there has not been a completechange in household membership, go to RM_Q09S
Does this month’srent include parking facilities?
If yes, go to RM_Q10
If no, go to RM_Q14

RM_Q09S — Since last month, have there been any changes in theparking facilities?
If yes, go to RM_Q10
If no, go toRM_Q14

RM_Q10 — What types of parking facilities are included inyour rent?
Mark all that apply.

RM_Q11
If “Closed garage or indoor parking” is notmarked in RM_Q10, go to RM_Q12 
How many closed garage or indoorparking spaces are included in your rent?

RM_Q12
If “Outside parking with plug-in” is notmarked in RM_Q10, go to RM_Q13
How many outside parking spaces withplug-in are included in your rent?

RM_Q13
If “Outside parking without plug-in” isnot marked in RM_Q10, go to RM_Q14
How many outside parking spaceswithout plug-in are included in your rent?

RM_Q14
If rent information does not exist from theprevious month, go to RM_Q15
If there has been a complete changein household membership, go to RM_Q15
If “Change in utilities,services, appliances, or furnishings” is marked in RM_Q08A, go to RM_Q15
Since last month, have there been any changes in the utilities,services, appliances, or furnishings included in the rent?
If yes,go to RM_Q15
If no, go to end of Rent Component

RM_Q15 — Which of the following utilities, services, appliances,or furnishings are included as part of the monthly rent?
Read listto respondent. Mark all that apply.

Labour force information component

In this component, a path is assigned according to the answers provided.This path is used to control the flow through the component. For paths 1, 2, 6,and 7 the path determines the labour force status, but for paths 3, 4 and 5 otherconditions (for example, availability for work) must be considered to distinguishbetween those who are unemployed and those who are not in the labour force.

PATHS

1
Employed, at work
2
Employed, absent from work
3
Temporary layoff
4
Job seeker
5
Future start
6
Not in labour force, able to work
7
Not in labour force, permanently unable towork
 

Job attachment block

LFI_Q100 — Many of the following questions concern ...’sactivities last week. By last week, I mean the week beginning on Sunday, [dateof first day of reference week], and ending last Saturday, [date of last dayof reference week].
Last week, did ... work at a job or business?
(regardless of the number of hours)
If yes, then PATH= 1 and go to 102
If no, go to 101
If “Permanently unable to work”, then PATH = 7 and goto 104

LFI_Q101 — Last week, did ... have a job or businessfrom which he/she was absent?
If no, go to 104

LFI_Q102 — Did he/she have more than one job or businesslast week?
If no, go to 110

LFI_Q103 — Was this a result of changing employers?
Go to 110

Past job attachment block

LFI_Q104 — Has he/she ever worked at a job or business?
If no, go to 170

LFI_Q105 — When did he/she last work?
If subsequentinterview and no change in 105 and last month’s PATH = 3,go to 131
Else if subsequent interview and no change in 105 andlast month’s PATH = 4 to 7, go to 170
Else if not within past year, go to 170
Else if PATH = 7,go to 131
Else if PATH not 7, go to 110

Job description block

LFI_Q110 — If 103 = yes, I am now goingto ask some questions about …’s new job or business. Was he/shean employee or self-employed?
If 103 = no, Iamnow going to ask some questions about the job or business at which he/sheusually works the most hours. Was he/she an employee or self-employed?
Otherwise,Was he/she an employee or self-employed?
If not “Self-employed”, go to 114

LFI_Q111 — Did he/she have an incorporated business?

LFI_Q112 — Did he/she have any employees?

LFI_Q113 — What was the name of his/her business?
Go to 115

LFI_Q114 — For whom did he/she work?
(name of business,government department or agency, or person)

LFI_Q115 — What kind of business, industry or service wasthis?
(e.g., cardboard box manufacturing, road maintenance, retailshoe store, secondary school, dairy farm, municipal government)

LFI_Q116 — What kind of work was he/she doing?
(e.g.,babysitting in own home, factory worker, forestry technician)

LFI_Q117 — What were his/her most important activities orduties?
(e.g., caring for children, stamp press machine operator, forestexaminer)

LFI_Q118 — When did he/she start working for/at [name ofemployer/name of business]?

Absence – Separation block

LFI_Q130
If PATH = 1, go to 150
If 101 =no, go to 131
What was the main reason ... was absentfrom work last week?
If “Temporary layoff due to businessconditions”, go to 134
If “Seasonal layoff”,go to 136
If “Casual job, no work available”, goto 137
Otherwise PATH = 2 and go to 150

LFI_Q131 — What was the main reason ... stopped workingat that [job/business]?
If not“Lost job, laid off orjob ended”, go to 137

LFI_Q132 — Can you be more specific about the main reasonfor his/her job loss?
If PATH = 7, go to 137
Else if “Business conditions”, go to 133
Otherwisego to 137

LFI_Q133 — Does he/she expect to return to that job?
If no or “Not sure”, go to 137

LFI_Q134 — Has ...’s employer given him/her adate to return?
If yes, go to 136

LFI_Q135 — Has he/she been given any indication that he/shewill be recalled within the next 6 months?

LFI_Q136 — As of last week, how many weeks had ... beenon layoff?
If 130 = “Seasonal layoff”, goto 137
Else if 134 = no and 135 = no, goto 137
Else if on layoff more than 52 weeks, go to 137
Otherwise PATH = 3 and go to 137

LFI_Q137 — Did he/she usually work more or less than 30 hoursper week?
If PATH = 3, go to 190
Otherwise goto 170

Work hours (Main job) block

LFI_Q150
The following questions refer to ...’swork hours at his/her [new] [job/business] [at name of employer].
If 110 = “Employee”, Excluding overtime, doesthe number of paid hours ... works vary from week to week?
Otherwise, Does the number of hours ... works vary from week toweek?
If yes, go to 152

LFI_Q151
If 110 = “Employee”, Excluding overtime, how many paid hours does ... work per week?
Otherwise How many hours does ... work per week?
IfPATH = 2, go to 158
If 110 = “Employee”,go to 153
Otherwise, go to 157

LFI_Q152
If 110 = “Employee”, Excluding overtime, on average, how many paid hours does ... usuallywork per week?
Otherwise On average, how many hours does ...usually work per week?
If PATH = 2, go to 158
If 110 = “Employee”, go to 153
Otherwise,go to 157

LFI_Q153 — Last week, how many hours was he/she away fromthis job because of vacation, illness, or any other reason?
If 0 hours,go to 155

LFI_Q154 — What was the main reason for that absence?

LFI_Q155 — Last week, how many hours of paid overtime didhe/she work at this job?

LFI_Q156 — Last week, how many extra hours without pay didhe/she work at this job?
If 150 = no, then actual hours= 151 - 153 + 155 + 156 and go to 158

LFI_Q157 — Last week, how many hours did he/she actually work at his/her [new] [job/business] [at name of employer]?

LFI_Q158
If 151 >= 29.5 or 152 >= 29.5,and PATH = 2, go to 162
If 151 >= 29.5 or 152 >= 29.5,and PATH = 1, go to 200
Does he/she want to work 30 ormore hours per week [at a single job]?
If yes, go to 160

LFI_Q159 — What is the main reason ... does not wantto work 30 or more hours per week [at a single job]?
If PATH = 2, go to 162
Otherwise go to 200

LFI_Q160 — What is the main reason ... usually worksless than 30 hours per week [at his/her main job]?
If not(“Business conditions” or “Could not find work with 30 ormore hours per week”) and PATH = 2, go to 162 
Ifnot (“Business conditions” or “Could not find work with 30 ormore hours per week”) and PATH = 1, go to 200

LFI_Q161 — At any time in the 4 weeks ending lastSaturday, [date of last day of reference week], did he/she look for full-timework?
If PATH = 2, go to 162
Otherwise go to 200

Absence block

LFI_Q162 — As of last week, how many weeks had ... beencontinuously absent from work?
If (110 is “Employee”)or (110 is “Self-employed” and 111 is yes), goto 163
Otherwise go to 200

LFI_Q163 — Is he/she getting any wages or salary from his/her[employer/business] for any time off last week?
Go to 200

Job search - Future start block

LFI_Q170
If PATH = 7, go to 500
In the 4 weeksending last Saturday, [date of last day of reference week], did ... doanything to find work?
If no and age >= 65, then PATH = 6 andgo to 500
If no and age <= 64, go to 174
If yes, then PATH = 4 and go to 171

LFI_Q171 — What did he/she do to find work in those 4 weeks?Did he/she do anything else to find work?

LFI_Q172 — As of last week, how many weeks had he/she beenlooking for work?
[since the date last worked]

LFI_Q173 — What was his/her main activity before he/she startedlooking for work?
Go to 177

LFI_Q174 — Last week, did ... have a job to start ata definite date in the future?
If no, then PATH = 6 andgo to 176

LFI_Q175 — Will he/she start that job before or after Sunday,[date of the first day after four weeks from the last day of reference week]?
If “Before the date above”, then PATH = 5 andgo to 190
If “On or after the date above”, thenPATH = 6 and go to 500

LFI_Q176 — Did he/she want a job last week?
Ifno, go to 500

LFI_Q177 — Did he/she want a job with more or less than 30 hoursper week?

LFI_Q178
If PATH = 4, go to 190
What wasthe main reason he/she did not look for work last week?
If “Believesno work available”, go to 190
Otherwise go to 500

Availability block

LFI_Q190 — Could he/she have worked last week [if he/shehad been recalled/if a suitable job had been offered]?
If yes, goto 400

LFI_Q191 — What was the main reason ... was not availableto work last week?
Go to 400

Earnings block

LFI_Q200
If 110 is not “Employee”, goto 300
If subsequent interview and no change in 110, 114, 115, 116, 117, 118,go to 300
Now I’d like to ask a few short questions about ...’searnings from his/her [new] job [at name of employer].
Is he/shepaid by the hour?

LFI_Q201 — Does he/she usually receive tips or commissions?
If 200 = no, go to 204

LFI_Q202 — [Including tips and commissions,] what is his/herhourly rate of pay?
Go to 220

LFI_Q204 — What is the easiest way for you to tell us his/herwage or salary, [including tips and commissions,] before taxes and other deductions?
Would it be yearly, monthly, weekly, or on some other basis?
If “Yearly”, go to 209
If “Monthly”,go to 208
If “Semi-monthly”, go to 207
If “Bi-weekly”, go to 206
If “Weekly”or “Other”, go to 205

LFI_Q205 — [Including tips and commissions,] what is his/herweekly wage or salary, before taxes and other deductions?
Go to 220

LFI_Q206 — [Including tips and commissions,] what is his/herbi-weekly wage or salary, before taxes and other deductions?
Goto 220

LFI_Q207 — [Including tips and commissions,] what is his/hersemi-monthly wage or salary, before taxes and other deductions?
Go to 220

LFI_Q208 — [Including tips and commissions,] what is his/hermonthly wage or salary, before taxes and other deductions?
Go to 220

LFI_Q209 — [Including tips and commissions,] what is his/heryearly wage or salary, before taxes and other deductions?
Go to 220

Union block

LFI_Q220 — Is he/she a union member at his/her [new] job[at name of employer]?
If yes, go to 240

LFI_Q221 — Is he/she covered by a union contract or collectiveagreement?

Permanence block

LFI_Q240 — Is ...’s [new] job [at name of employer]permanent, or is there some way that it is not permanent?
(e.g.,seasonal, temporary, term or casual)
If “Permanent”,go to 260

LFI_Q241 — In what way is his/her job not permanent?
Go to 260

Firm size block

LFI_Q260 — About how many persons are employed at the locationwhere ... works for [name of employer]?
Would it be: [Lessthan 20, 20 to 99, 100 to 500, or over 500]?
Read categories to respondent.

LFI_Q261 — Does [name of employer] operate at more than onelocation?
If no, or 260 = “Over 500”,go to 300

LFI_Q262 — In total, about how many persons are employedat all locations?
Would it be: [Less than 20, 20 to 99, 100 to 500,or over 500]?
Read categories to respondent
Go to 300

Class of worker – Hours at other job block

LFI_Q300
If 102 = no, go to 400
Now I have a couple of questions about ...’s [other/old] job orbusiness. Was he/she an employee or self-employed?
If not “Self-employed”,go to 320

LFI_Q301 — Did he/she have an incorporated business?

LFI_Q302 — Did he/she have any employees?

LFI_Q320
If 300 = “Employee”, Excluding overtime, how many paid hours [does/did] ... usually workper week at this job?
Otherwise, How many hours [does/did] ... usually work per week at this [business/family business]?
IfPATH = 2, go to 400

LFI_Q321 — Last week, how many hours did ... actually work at this [job/business/family business]?
Go to 400

Temporary layoff job search block

LFI_Q400
If PATH not 3, go to 500
In the 4 weeks ending last Saturday, [date of last day of referenceweek], did ... look for a job with a different employer?
Goto 500

School attendance block

LFI_Q500
If age >>= 65, go to END
Last week,was ... attending a school, college or university?
If no, goto 520

LFI_Q501 — Was he/she enrolled as a full-time or part-timestudent?

LFI_Q502 — What kind of school was this?
Go to 520

Returning students block

LFI_Q520
If survey month not May through August, go to END
Else if age not 15 to 24, go to END
Else if subsequent interview and 520 in previous month was “no”,go to END
Else if subsequent interview and 520 in previousmonth was “yes”, go to 521
Was he/she a full-timestudent in March of this year?
If no, go to END

LFI_Q521 — Does he/she expect to be a full-time student thisfall?

Exit component

The following information is collected at the end of the LFS intervieweach month to gather information for future contacts and to thank respondentsfor their participation. In many cases, this information will be pre-filledfor confirmation in subsequent interviews.

EI_R01
If rotate-out (for example, last month for interview),go to TY_R02
Before we finish, I would like to ask you a few otherquestions.

FC_R01
As part of the Labour Force Survey, we will contactyour household next month during the week of[date of first day of nextmonth survey week].
After this month, this dwelling has [calculated number of remaining interviews] LFS interview(s) left.

HC_Q01 — Who would be the best person to contact?

TEL_Q01
If no telephone number exists, go to TEL_Q02
I would like to confirm your telephone number. Is it [telephone number]?
If yes, go to PC_Q01
If no, go to TEL_Q02

TEL_Q02 — What is your telephone number, including the areacode?

PC_Q01
If CATI interview, go to PTC_Q01
May we conductthe next interview by telephone?
If yes, go to PTC_Q01
If no, go to PV_R01

PV_R01
In this case we will make a personal visit next monthduring the week of [date of first day of next month survey week].

PTC_Q01
If preferred time to call information does not existfrom the previous month, go to PTC_Q02
I would like to confirm thetime of day you would prefer that we call. Is it [preferred time tocall]?
If yes, go to PTC_N03
If no, go to PTC_Q02

PTC_Q02 — What time of day would you prefer that we call?Would it be the morning, the afternoon, the evening, or ANY TIME?
Markall that apply.

PTC_N03
Enter any other information about the preferred timeto call.

LQ_Q01
If CATI interview, go to TY_R01
If subsequentinterview, go to TY_R01
If dwelling type is not “Singledetached” and not “Double” and not “Rowor terrace” and not “Duplex”, go to TY_R01 
Is there another set of living quarters within this structure?
If yes, go to LQ_N02
If no, go to TY_R01

LQ_N02
Remember to verify the cluster list and add one or moremultiples if necessary.

TY_R01
Thank you for your participation in the Labour ForceSurvey.
Go to END

TY_R02
Thank you for your participation in the Labour ForceSurvey. Although your six months in the Labour Force Survey are over, yourhousehold may be contacted by Statistics Canada some time in the future foranother survey.

List of codesets

Codes for Contact component

SR_Q01

1
Yes, speaking to respondent
2
Yes, respondent available
3
No, respondent not available
4
No, respondent no longer a household member
5
Wrong number
 

AR_Q01

1
Yes, speaking to an adult member
2
Yes, an adult member is available
3
No, an adult member is not available
 

SRA_Q01 / ARA_Q01

1
Make hard appointment
2
Make soft appointment
3
Not available
 

LP_Q01

1
English
2
French
3
Other
 

Codes for Household component

SD_Q01

1
Yes
2
No
3
No, respondent never lived there
 

DW_Q01 / DW_N02

01
Single detached
02
Double
03
Row or terrace
04
Duplex
05
Low rise apartment (fewer than 5 stories)or flat
06
High rise apartment (5 stories or more)
07
Institution
08
Hotel; rooming/lodging house; camp
09
Mobile home
10
Other – Specify
 

PV2_Q01_RES_Q02

1
No longer a member
2
Deceased
 

Codes for Individual demographics

SEX_Q01

1
Male
2
Female
 

MSNC_Q01

1
Married
2
Living common-law
3
Widowed
4
Separated
5
Divorced
6
Single, never married
 

RR_N01

1
Reference person
2
Spouse
3
Son or daughter (birth, adopted or step)
4
Grandchild
5
Son-in-law or daughter-in-law
6
Foster child (less than 18 yearsof age)
7
Parent
8
Parent-in-law
9
Brother or sister
10
Other relative - Specify
 

IMM_Q01 — Responses that do not correspond to one of thetwelve countries explicitly listed are recorded as "Other –Search"and invoke a country search file containing a list of all current countries.

01
Canada
02
United States
03
United Kingdom
04
Germany
05
Italy
06
Poland
07
Portugal
08
China (People’s Republic of)
09
Hong Kong
10
India
11
Philippines
12
Vietnam
13
Other – Search
 

IMM_Q02

1
Yes
2
No
 

ABO_Q01

1
Yes
2
No
 

ABO_Q02

Mark all that apply.

1
North American Indian
2
Métis
3
Inuit (Eskimo)
 

ED_Q01

1
Grade 8 or lower (Quebec: SecondaryII or lower)
2
Grade 9 - 10 (Quebec:Secondary III or IV, Newfoundland and Labrador: 1st year of secondary)
3
Grade 11 - 13 (Quebec:Secondary V, Newfoundland and Labrador: 2nd to 4th year of secondary)
 

ED_Q04

1
No postsecondary degree, certificate or diploma
2
Trade certificate or diploma from a vocationalschool or apprenticeship training
3
Non-university certificate or diploma froma community college, CEGEP, school of nursing, etc.
4
University certificate below bachelor’slevel
5
Bachelor’s degree
6
University degree or certificate above bachelor’sdegree
 

CHE_Q01 — Responses that do not correspond to one of thetwelve countries explicitly listed are recorded as "Other –Search"and invoke a country search file containing a list of all current countries.

01
Canada
02
United States
03
United Kingdom
04
Germany
05
Italy
06
Poland
07
Portugal
08
China (People’s Republic of)
09
Hong Kong
10
India
11
Philippines
12
Vietnam
13
Other – Search
 

Codes for Rent component

RM_Q02

1
No more than 5 years old
2
More than 5 but no more than 10 yearsold
3
More than 10 but no more than 20 yearsold
4
More than 20 but no more than 40 yearsold
5
More than 40 years old
 

RM_Q04A

1
Income-related/Government agencies
2
Employer
3
Owned by a relative
4
Other - Specify
 

RM_Q08A

1
Change in utilities, services, appliances,or furnishings
2
Change in parking facilities
3
New Lease
4
Other - Specify
 

RM_Q10

1
Closed garage or indoor parking
2
Outside parking with plug-in
3
Outside parking without plug-in
 

RM_Q15

1
Heat - Electric
2
Heat - Natural Gas
3
Heat - Other Specify
4
Electricity
5
Cablevision
6
Refrigerator
7
Range
8
Washer
9
Dryer
10
Other major appliance - Specify
11
Furniture
12
None of the above
 

Codes for Labour force information

LFI_Q100

1
Yes
2
No
3
Permanently unable to work
 

LFI_Q110 / LFI_Q300

1
Employee
2
Self-employed
3
Working in a family business without pay
 

LFI_Q130

01
Own illness or disability
02
Caring for own children
03
Caring for elder relative (60 yearsof age or older)
04
Maternity or parental leave
05
Other personal or family responsibilities
06
Vacation
07
Labour dispute (strike or lockout) (Employeesonly)
08
Temporary layoff due to business conditions(Employees only)
09
Seasonal layoff (Employees only)
10
Casual job, no work available (Employeesonly)
11
Work schedule (e.g., shift work) (Employeesonly)
12
Self-employed, no work available (Self-employedonly)
13
Seasonal business (excluding employees)
14
Other - Specify
 

LFI_Q131

01
Own illness or disability
02
Caring for own children
03
Caring for elder relative (60 yearsof age or older)
04
Pregnancy (Females only)
05
Other personal or family responsibilities
06
Going to school
07
Lost job, laid off or job ended (Employeesonly)
08
Business sold or closed down (excluding employees)
09
Changed residence
10
Dissatisfied with job
11
Retired
12
Other - Specify
 

LFI_Q132

1
End of seasonal job
2
End of temporary, term or contract job (non-seasonal)
3
Casual job
4
Company moved
5
Company went out of business
6
Business conditions (e.g., not enough work,drop in orders or retooling)
7
Dismissal by employer (e.g., fired)
8
Other - Specify
 

LFI_Q133 / LFI_Q521

1
Yes
2
No
3
Not sure
 

LFI_Q137 / LFI_Q177

1
30 or more hours per week
2
Less than 30 hours per week
 

LFI_Q154

01
Own illness or disability
02
Caring for own children
03
Caring for elder relative (60 yearsof age or older)
04
Maternity or parental leave
05
Other personal or family responsibilities
06
Vacation
07
Labour dispute (strike or lockout)
08
Temporary layoff due to business conditions
09
Holiday (legal or religious)
10
Weather
11
Job started or ended during week
12
Working short-time (e.g., due to materialshortages, plant maintenance or repair, etc.)
13
Other - Specify
 

LFI_Q159

1
Own illness or disability
2
Caring for own children
3
Caring for elder relative (60 years ofage or older)
4
Other personal or family responsibilities
5
Going to school
6
Personal preference
7
Other - Specify
 

LFI_Q160

1
Own illness or disability
2
Caring for own children
3
Caring for elder relative (60 years ofage or older)
4
Other personal or family responsibilities
5
Going to school
6
Business conditions
7
Could not find work with 30 or morehours per week
8
Other - Specify
 

LFI_Q171

1
Public employment agency
2
Private employment agency
3
Union
4
Employers directly
5
Friends or relatives
6
Placed or answered ads
7
Looked at job ads
8
Other - Specify
 

LFI_Q173

1
Working
2
Managing a home
3
Going to school
4
Other - Specify
 

LFI_Q175

1
Before the date above
2
On or after the date above
 

LFI_Q178

1
Own illness or disability
2
Caring for own children
3
Caring for elder relative (60 years ofage or older)
4
Other personal or family responsibilities
5
Going to school
6
Waiting for recall (to former employer)
7
Waiting for replies from employers
8
Believes no work available (in area, or suitedto skills)
9
No reason given
10
Other - Specify
 

LFI_Q191

1
Own illness or disability
2
Caring for own children
3
Caring for elder relative (60 years ofage or older)
4
Other personal or family responsibilities
5
Going to school
6
Vacation
7
Already has a job
8
Other - Specify
 

LFI_Q204

1
Yearly
2
Monthly
3
Semi-monthly
4
Bi-weekly
5
Weekly
6
Other - Specify
 

LFI_Q241

1
Seasonal job
2
Temporary, term or contract job (non-seasonal)
3
Casual job
5
Other - Specify
 

LFI_Q260 / LFI_Q262

1
Less than 20
2
20 to 99
3
100 to 500
4
Over 500
 

LFI_Q501

1
Full-time
2
Part-time
 

LFI_Q502

1
Elementary, junior high school, high schoolor equivalent
2
Community college, junior college, or CEGEP
3
University
4
Other - Specify
 

Codes for Exit component

PTC_Q02

1
ANY TIME
2
Morning
3
Afternoon
4
Evening
5
NOT morning
6
NOT afternoon
7
NOT evening

computation of living cost differential allowance indexes isolated posts and government housing directive

General

The Government Allowance Indexes Section, Statistics Canada, is responsible for the computation of indexes of comparative retail prices and living costs and their recommendation to Treasury Board to support the operation of the Isolated Posts and Government Housing Directive (IPGHD).The IPGHD applies to Canadian Government employees, serving at approximately 300 locations in Canada that have been designated as "isolated" under this Directive.

Statistics Canada has no responsibility for the basic policies on which the IPGHD is based, the criteria for determining whether a location is classified as isolated, or the absolute dollar amounts of allowances. These considerations are the responsibility of the Treasury Board Secretariat acting within the framework of ongoing employer - employee, National Joint Council consultations. Statistics Canada's role is to provide general statistical advice to the Treasury Board Secretariat and National Joint Council as required, and to support the day-to-day administration of that particular benefit called the Living Cost Differential Allowance (LCD). It is suggested that this paper be read in conjunction with the Isolated Post and Government Housing Directive (IPGHD) itself.

Members of the Canadian Forces should note that although this paper is written in the specific context of the IPGHD, it has equal application to parallel provisions of the Queen's Regulations and Orders for The Canadian Forces.

Nature and purposes of LCD indexes

LCD indexes express the relationship at a given point in time between retail prices of a sample range of goods and services at an isolated post and their prices in one of 7 Canadian "point of comparison" cities (Vancouver, Edmonton, Saskatoon, Winnipeg, Toronto, Montreal or St-Johns) as established by the National Joint Council.

The IPGHD only recognizes five point ranges for compensation purposes. At all times, point of comparison retail prices are expressed as 100. There are 16 LCD levels as presented in the following table. For example, if at a particular isolated post, prices are determined to be between 30.0 and 34.9 percent above those at its point of comparison, the index will be classified as level `4':

Price index differential ranges IPGHD classification
190.0 + 16
185.0 - 189.9 15
180.0 - 184.9 14
175.0 - 179.9 13
170.0 - 174.9 12
165.0 - 169.9 11
160.0 - 164.9 10
155.0 - 159.9 9
150.0 - 154.9 8
145.0 - 149.9 7
140.0 - 144.9 6
135.0 - 139.9 5
130.0 - 134.9 4
125.0 - 129.9 3
120.0 - 124.9 2
115.0 - 119.9 1

LCD indexes are used by the employer as an indicator of the level of financial protection against higher retail price levels that is appropriate for payment to employees at an isolated post. The IPGHD currently provides that a post/ point of comparison differential of 15 per cent or more must exist before an allowance is payable. This 15 percent threshold was adopted in recognition of significant price differentials existing between non-isolated locations in Canada. The amount of the allowance is related to the average Canadian family expenditures on the range of goods and services included in the LCD indexes.

The range of good and services included is limited to those categories outlined in the IPGHD as set out by the National Joint Council Committee on Isolated Posts. The indexes include price comparisons for food consumed at home, food away from home (restaurants), household services and supplies (including communications), personal care services and supplies, non-prescription pharmaceutical products, public transportation, automobile operation and maintenance (including snowmobile and/or boat operation), tobacco and alcoholic beverages, audio/video supplies and reading material; some 250 items forming the sample. Price comparisons for individual items are averaged to reflect their relative importance in the point of comparison.

Several important components of the typical family budget are not included in LCD measurements. Costs associated with shelter, clothing, furniture and vehicle purchase are not taken into consideration.

It should be emphasized that comparative retail price indexes can only consider the comparable prices of things that "can be priced" and "identifiable with a specific quantity of a good or service". Thus, the physical or environmental factors such as remoteness and population size that are considered in determining whether a post will be classified as isolated are not elements in LCD indexes. Recognition of these factors under the IPGHD is the function of the Environment Allowance.

 

Retail price surveys at isolated posts

Retail price surveys that lead either to the establishment of an LCD index or review of one that already exists, are of two types:

  • Prices and supporting survey data are collected through a personal visit to a post by a representative of Statistics Canada; or
  • Data are collected by means of mail questionnaires. This approach is usually adopted when there is a Statistics Canada visit to the general area in which a particular post is located but not to the post itself.

In either case, a survey has two distinct parts. The:

Consumer information schedule (Individual)

This is a questionnaire completed by a representative sample of government employees at the isolated post. Its purpose is to enable Statistics Canada to form a picture of typical post market and purchasing patterns in terms of the kinds of goods and services that are available and where employees are obtaining them. Each respondent is asked to identify normal supply sources for groups of items and if purchases are commonly made from "outside" suppliers, to describe the normal shipping arrangements and carriers' charges that apply. Each individual also is asked, as a resident of the community, to comment on personal experience with local marketing conditions and to describe the procedures he or she follows to adapt buying habits to meet them.

Coordinator's report (pricing schedule)

The Coordinator's report is completed either by a Statistics Canada representative (visit survey), or by the senior officer of a government department represented at the post (a mail survey). The most important element of this report is the Pricing Schedule completed for those retail establishments at the post where employees have reported making purchases.

At larger posts this will involve price collection in several retail outlets while at others one or two stores may represent the complete local market. In extreme cases no local retail stores exist at all. The extent of the local market will of course normally determine the extent of pricing from other locations from which post supplies are obtained. No two locations are identical in this respect. Each must be studied on the basis of the prevailing practices and local market factors reported to Statistics Canada.

The balance of the Coordinator's Report consists of notes and general information about the post that help to explain and clarify any conditions exerting an unusual influence on post living costs.

 

Post visits

Since as many surveys as possible are conducted in conjunction with a Statistics Canada officer's visit, it may be useful to describe the general pattern of these visits.

General plans of impending visits are formulated approximately one year in advance, at which time the Treasury Board Secretariat is notified and asked to comment in the light of policies or plans of which Statistics Canada may not be aware. Employing departments are then notified of the geographic areas that will be covered and the approximate time period during which surveys and visits will be undertaken. Departments are asked to advise Statistics Canada of the numbers of their employees at the posts in question, the names, telephone numbers and functions of their senior post officers, and subsequently to advise their regional officials of full visit details. Employees at regional and post levels are asked to cooperate with Statistics Canada's representatives and to render any forms of assistance in the conduct of the survey that the employing department has agreed to provide.

On arrival at an isolated post, the Survey Officer contacts senior departmental personnel, followed in most instances by a meeting with as many post personnel (and their families) as can be arranged. The purpose of the visit and the survey procedures are explained with particular emphasis being placed on the importance of individual questionnaires (refer to previous page) which are then distributed. A general question and answer period usually follows.

Having gathered local retail prices and other survey data, the Survey Officer then proceeds to the point of comparison city (see Nature and Purposes of LCD Indexes). The Survey Officer visits representative point of comparison retail outlets to obtain the prices to which those at the isolated post will be compared. This is a major undertaking since it involves collecting prices in at least one of each major supermarket chain in the city, certain major department stores, and a number of retailers carrying items of particular importance in the north; snowmobile parts for instance. Visits are also paid to mail order firms, transportation companies and wholesalers serving the area under study to confirm prices, shipping tariffs and general market intelligence. At this point, the survey is ready to be processed.

Survey processing and analysis

The initial clerical task in processing a survey is to check or make the necessary conversions to ensure that all post and point of comparison prices represent the same quantities or container sizes and, as far as possible, identical brands. At the same time, data on all Consumer Information Schedules are brought together to form average post buying patterns and in particular to establish the ratios of local purchases to goods "imported" from other than on-site retailers. Freight, packing, handling and other charges, if applicable, are added to the supplier's base price to establish the final "landed cost" to the employee in the case of "imported" items.

A comparative price index is then computed beginning at the individual item, and building up through commodity groupings to a composite number.

At this point the Survey Officer reviews the entire index calculation with responsibility for assessing the statistical reasonableness of the prices that have been compared. Decisions are made on the basis of clarifying comments from individual respondents, the experience growing out of visits to posts, alternative price data from other posts in the general area, and any other evidence available to the Survey Officer that is reliable and current. When the Survey Officer is satisfied that the index reflects the best possible price and living cost comparison, results are recommended to the Treasury Board. Subject to subsequent requests for clarification by the Treasury Board, Statistics Canada has at this point discharged its responsibility, until the next survey is scheduled.

 

Some general comments

Statistics Canada's role and responsibility for supporting the Isolated Posts and Government Housing Directive is easy to misunderstand by employees and departmental employers alike. Some of the problems brought to the attention of Survey Officers during visits are statistical in nature, while others are concerned with other components of the total IPGHD package. Although employees are naturally primarily concerned with the end-effect on their paycheck, those who are concerned with the IPGHD may benefit if some of the following points were given wider consideration.

1. The IPGHD provides for an Environment Allowance in recognition of the physical and social factors that render a location an unattractive place to work and live according to generally accepted criteria. A location must qualify for Environment Allowance to be classified as "isolated" and to be considered for the other benefits that the IPGHD provides, including the Living Cost Differential.

While there is clearly a high correlation between remoteness of a location and higher retail prices, it does not follow that two locations qualifying for the same level of Environment Allowance will have the same local price levels. Under the present formula employed for classifying posts for Environment Allowance, the existence of a barge shipping season, a winter road, or subsidized freight rates for example, are not considered to lessen a location's isolation. Yet the existence of these can have a marked lowering effect on prices compared to those similarly located or even less isolated location not having those advantages. It follows that entitlement to the Living Cost Differential depends upon actual and measurable price differentials, not on those factors for which compensation is provided by the Environment Allowance. This distinction represents one of the fundamental concepts on which the IPGHD is based.

2. The comparative price indexes described in this paper represent a "best estimate" of the percentage by which prices for a specific range of goods and services at an isolated location differ from those for the same items at the point of comparison. The following examples are intended to show the effect of price changes on an existing relationship:

  • Suppose that an LCD index for an isolated post has been determined to be 125 (point of comparison = 100) following a survey. Assume that one year later, prices have increased at both the isolated post and the point of comparison by 6 per cent. The new relationship could be expressed as 132.5 (point of comparison = 106) which represents exactly the same differential as before, i.e. 132.5/106 = 1.25. Despite the fact that absolute prices are now higher at both locations, their relative difference in price levels has not changed because prices increased at the same rate in both locations.
  • Suppose that an item is priced at $1.50 in the point of comparison and is 40 per cent higher than at an isolated post; that is $2.10. Subsequently, the price at the point of comparison increases by 40 cents and at the isolated post by 45 cents. The new differential is now 34 per cent ($2.55/ $1.90 x 100). In this case, absolute prices have increased in both locations with the greater increase at the isolated post. In addition, the percentage of differential arises through prices increasing at different rates. Whether the differential narrows or broadens depends on the difference between the magnitudes of the price changes and the relationship of the original price levels. In other words, 40 cents is a greater percentage increase on $1.50 than 45 cents is on $2.10.

It is only in circumstances of the kind described in (b) above that price changes will alter an LCD index once it has been established.

3. Comparisons between isolated communities and large metropolitan centers can fall short of absolute precision. So as not to mislead users and to avoid implication of a degree of accuracy that cannot be achieved, Statistics Canada's agreed commitment from the outset of its involvement in the IPGHD allowance system, has been to classify posts into 5 point index ranges according to relative retail price and living conditions.

(Country elevators and feed mills)

Confidentiality: Statistics Canada is prohibited by law from publishing any statistics which would divulge information obtained from this survey that relates to any indentifiable business without the previous written consent of that business. The data reported on this questionnaire will be treated in confidence and used for statistical purpose only. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation.

Authority: Collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S19. Completion of this questionnaire is a legal requirement under the Statistics Act.

Purpose: This information is required to provide private industry, producers and governments with accurate and timely data.

Ontario: To reduce response burden and to ensure more uniform statistics, Statistics Canada has entered into an agreement under Section 12 of the Statistics Act with the Ontario Ministry of Agriculture, Food and Rural Affairs for the sharing of information from this survey.

August 31, 2009

Instructions:

  1. Please report inventories held in your company's elevators in metric tonnes.
  2. Exclude stocks held in elevators licensed by the Canadian Grain Commission but include imports.
  3. Please keep a copy of this report for your file and return a copy to Statistics Canada within one week.
  4. You may return this questionnaire by mail or facsimile. The Agriculture Division facsimile number is (613) 951-3868. Statistics Canada advises you that there could be a risk of disclosure of your information if you choose to return it by fax, e-mail or other electronic means. Upon receipt of your information, Statistics Cananda will provide the level of protection required by the Statistics Act.
  5. Enter only the stock owned by the company and held in company owned elevators in the "Company Owned" column. Enter any other stock in the "Held For" column; i.e. Farm Accounts, Storage Receipts and Other Companies.
  6. If you have any questions, please telephone (613) 931-3050. Thank you

Stocks at August 31

  • Grain:
    • Grain Corn
    • Soybeans (exclude roasted)
  • Company Owned: (metric tonnes)
  • Held for: (metric tonnes)
    • Farm Accounts
    • Storage Receipts
    • Other
  • Total: (metric tonnes)

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