Labour Force Survey, October 2015 [Canada]

Transcription

1 Canada Labour Statistics Division, Statistics Canada Labour Force Survey, October 2015 [Canada] Study Documentation April 10, 2017

2 Metadata Production Metadata Producer(s) Data Liberation Initiative (DLI), Statistics Canada Production Date April 28, 2016 Version Identification LFS-71M0001-E-2015-October

3 Table of Contents Overview... 4 Scope & Coverage... 4 Producers & Sponsors...5 Sampling...5 Data Collection...6 Data Processing & Appraisal...6 Accessibility... 7 Rights & Disclaimer... 7 Files Description... 8 LFS-71M0001-E-2015-October...8 Variables Group(s)... 9 Children... 9 Demography... 9 Economic family...9 Education...9 Filler Geography Industry and occupation...10 Job status...10 Job tenure Labour force status Multiple or single job holder...11 Number of employees...11 Record number and survey date...11 Relationship to reference person Unemployment Union membership...12 Weight variable...12 Work hours, pay and absence...12 Variables Description...14 LFS-71M0001-E-2015-October...15

4 Labour Force Survey, October 2015 [Canada] - Overview Labour Force Survey, October 2015 [Canada] (LFS October 2015) Enquête sur la population active, octobre 2015 [Canada] Overview Type Identification Labour Force Survey LFS-71M0001-E-2015-October Version Production Date: Series The Labour Force Survey provides estimates of employment and unemployment which are among the most timely and important measures of performance of the Canadian economy. Abstract This public use microdata file contains non-aggregated data for a wide variety of variables collected from the Labour Force Survey (LFS). The LFS collects monthly information on the labour market activities of Canada's working age population. This product is for users who prefer to do their own analysis by focusing on specific subgroups in the population or by crossclassifying variables that are not in our catalogued products. This file contains both personal characteristics for all individuals in the household and detailed labour force characteristics for household members 15 years of age and over. The personal characteristics include age, sex, marital status, educational attainment, and family characteristics. Detailed labour force characteristics include employment information such as class of worker, usual and actual hours of work, employee hourly and weekly wages, industry and occupation of current or most recent job, public and private sector, union status, paid or unpaid overtime hours, job permanency, hours of work lost, job tenure, and unemployment information such as duration of unemployment, methods of job search and type of job sought. Labour force characteristics are also available for students during the school year and during the summer months as well as school attendance whether full or part-time and the type of institution. These and more are available by province and for the three largest census metropolitan areas (Montreal, Toronto, Vancouver). This is a monthly file, and is available going back to Kind of Data Unit of Analysis Survey data Individuals Scope & Coverage Keywords Topics Time Period(s) 2015 Countries Geographic Coverage Canada Provinces Territories Demographic characteristics, Demography, Jobs, Labour force survey, Labour force, PUMFFILE Employment and unemployment, Hours of work and work arrangements, Industries, Labour, Occupations, Unionization and industrial relations, Wages, salaries and other earnings Canada Universe The LFS covers the civilian, non-institutionalised population 15 years of age and over. It is conducted nationwide, in both the provinces and the territories. Excluded from the survey's coverage are: persons living on reserves and other Aboriginal settlements in the provinces; full-time members of the Canadian Armed Forces, the institutionalized population, and households in extremely remote areas with very low population density. These groups together represent an exclusion of less than 2% of the Canadian population aged 15 and over. There are no questions in the LFS that ask respondents whether they are temporary foreign workers. Therefore it is not possible to produce counts of, or employment numbers for, temporary foreign workers from the LFS. If contacted for the LFS, temporary foreign workers will be included only if they identify the selected dwelling as their usual place of residence. In addition, they cannot be separated from a larger group of respondents who were not born in Canada and who are not landed immigrants. In 2014, the 'other' category represented 2% of the - 4 -

5 Labour Force Survey, October 2015 [Canada] - Overview employed population and would therefore have a negligible impact on the overall employment numbers. Also included in this group are: Canadian citizens by descent who were born elsewhere, foreign students with a study permit, claimants of refugee status or family members of immigrants who are not landed immigrants themselves. National Labour Force Survey estimates are derived using the results of the LFS in the provinces. Territorial LFS results are not included in the national estimates, but are published separately. Producers & Sponsors Primary Investigator(s) Other Producer(s) Labour Statistics Division, Statistics Canada Labour Statistics Division (LSD), Statistics Canada Sampling Sampling Procedure The LFS uses a probability sample that is based on a stratified multi-stage design. Each province is divided into large geographic stratum. The first stage of sampling consists of selecting smaller geographic areas, called clusters, from within each stratum. The second stage of sampling consists of selecting dwellings from within each selected cluster. The LFS uses a rotating panel sample design so that selected dwellings remain in the LFS sample for six consecutive months. Each month about 1/6th of the LFS sampled dwellings are in their first month of the survey, 1/6th are in their second month of the survey, and so on. One feature of the LFS sample design is that each of the six rotation groups can be used as a representative sample by itself. Within selected dwellings, basic demographic information is collected for all household members. Labour force information is collected for all civilian household members who are aged 15 and over. Recently, the monthly LFS sample size has been approximately 56,000 households, resulting in the collection of labour market information for approximately 100,000 individuals. It should be noted that the LFS sample size is subject to change from time to time in order to meet data quality or budget requirements. With the recent increase in coverage in Nunavut, the sample for all three territories is representative of the working-age population of each territory. Nunavut was initially designed to cover ten of the largest communities in the region, representing about 70% of all Nunavut residents aged 15 years and over. The increase in survey coverage in that territory, effective in the spring of 2009 and retroactive to the winter of 2008, brings it on par with the other two territories (96% in the Northwest Territories, 93% in Nunavut and 92% in Yukon). The LFS sample is allocated to provinces, territories and regions within provinces to meet the need for reliable estimates at various geographic levels. These include national, provincial, territorial, census metropolitan areas (large cities), economic regions and employment insurance regions. Response Rate Non-response to the LFS tends to average about 10% of eligible households. Interviewers are instructed to make all reasonable attempts to obtain LFS interviews with members of eligible households. Each month, after all attempts to obtain interviews have been made, a small number of non-responding households remain. For households non-responding to the LFS, a weight adjustment is applied to account for non-responding households. Sampling errors associated with survey estimates are measured using coefficients of variation for LFS estimates as a function of the standard error and the size of the estimate. Weighting The final step in the processing of LFS data is the assignment of a weight to each individual record. This process involves several steps. Each record has an initial weight that corresponds to the inverse of the probability of selection. Adjustments are made to this weight to account for non-response that cannot be handled through imputation. In the final weighting step all of the record weights are adjusted so that the aggregate totals will match with independently derived population estimates for various age-sex groups by province and major sub-provincial areas. One feature of the LFS weighting process is that all individuals within a dwelling are assigned the same weight. In January 2000, the LFS introduced a new estimation method called Regression Composite Estimation. This new method was used to re-base all historical LFS data. It is described in the research paper "Improvements to the Labour Force Survey (LFS)", Catalogue no. 71F0031X. Additional improvements are introduced over time; they are described in different issues of the same publication

6 Labour Force Survey, October 2015 [Canada] - Overview Data Collection Data Collection Dates start end Time Period(s) start end Data Collection Mode Data collection for the LFS is carried out each month during the week following the LFS reference week. The reference week is normally the week containing the 15th day of the month. LFS interviews are conducted by telephone by interviewers working out of a regional office CATI (Computer Assisted Telephone Interviews) site or by personal visit from a field interviewer. Since 2004, dwellings new to the sample in urban areas are contacted by telephone if the telephone number is available from administrative files, otherwise the dwelling is contacted by a field interviewer. The interviewer first obtains socio-demographic information for each household member and then obtains labour force information for all members aged 15 and over who are not members of the regular armed forces. The majority of subsequent interviews are conducted by telephone. In subsequent monthly interviews the interviewer confirms the socio-demographic information collected in the first month and collects the labour force information for the current month. Persons aged 70 and over are not asked the labour force questions in subsequent interviews, but rather their labour force information is carried over from their first interview. Starting in 2015, LFS respondents who met certain criteria were offered the option of completing the survey on-line for subsequent interviews. In each dwelling, information about all household members is usually obtained from one knowledgeable household member. Such 'proxy' reporting, which accounts for approximately 65% of the information collected, is used to avoid the high cost and extended time requirements that would be involved in repeat visits or calls necessary to obtain information directly from each respondent. Data Collection Notes The current LFS questionnaire was introduced in At that time, significant changes were made to the questionnaire in order to address existing data gaps, improve data quality and make more use of the power of Computer Assisted Interviewing (CAI). The changes incorporated included the addition of many new questions. For example, questions were added to collect information about wage rates, union status, job permanency and workplace size for the main job of currently employed employees. Other additions included new questions to collect information about hirings and separations, and expanded response category lists that split existing codes into more detailed categories. The questionnaire was also extensively restructured in terms of the order of the questions and the flows between questions. For example, the job description questions about the current (or most recent) job were moved near the beginning of the questionnaire so that this information (especially the class of worker) could be used to control some of the question flow, question wording and applicable response categories in later questions. As well, some questions known to be problematic were modified through rewording or the inclusion of additional questions (e.g., the hours of work question series and the identification of persons on temporary layoff). Since the existing questionnaire had been designed as a paper questionnaire, the questionnaire redesign represented an opportunity to make extensive use of the power of CAI. This included the incorporation of question wording that depended upon answers to earlier questions, more complex question flows and an extensive set of on-line edits checking for logical inconsistencies. The implementation of the new questionnaire followed an extensive process of user consultations, questionnaire development and questionnaire testing. The questionnaire was phased in over a five-month period between September 1996 and January Data Collector(s) Labour Statistics Division (LSD), Statistics Canada Data Processing & Appraisal Other Processing Seasonal Adjustments - Most estimates associated with the labour market are subject to seasonal variation, that is, annuallyrecurring fluctuations attributable to climate and regular institutional events such as vacations, and holiday seasons. Seasonal adjustment is used to remove seasonal variations from almost 3,000 series, in order to facilitate analysis of short-term change for major indicators such as employment and unemployment by age and sex, employment by industry, and class of worker (employee or self-employed). Many of these indicators are seasonally adjusted at national and provincial levels. Seasonal - 6 -

7 Labour Force Survey, October 2015 [Canada] - Overview adjustments are made using the X-12-ARIMA method. Main labour force status estimates are also seasonally adjusted for census metropolitan areas (CMAs), and published as three-month moving averages to reduce irregular movements caused by relatively small sample sizes. At the start of each year the seasonally adjusted series are updated and revised according to the latest data and information for seasonal models and factors. The seasonally adjusted series are usually revised back three years. Adjusting estimates for population changes - Adjustments are also made to LFS data every five years after new population estimates become available following the most recent census. At that time, all LFS data back to the previous census is re-weighted using the new population estimates (since the new population estimates will cover the inter-censal period between the two most recent censuses), and all corresponding historical LFS estimates are revised. Therefore, at the beginning of 2015, all estimates were adjusted to reflect 2011 Census population counts and LFS estimates have been revised back to January Also, Census metropolitan areas (CMAs), Economic regions (ERs) and Census agglomerations are based on 2011 Census boundaries rather than 2006 boundaries. These and other changes are described in the research paper The 2015 Revisions of the Labour Force Survey (LFS), Catalogue no. 71F0031XWE Estimates of Sampling Error Since the LFS is a sample survey, all LFS estimates are subject to both sampling error and non-sampling errors. Nonsampling errors can arise at any stage of the collection and processing of the survey data. These include coverage errors, nonresponse errors, response errors, interviewer errors, coding errors and other types of processing errors. Non-response to the LFS tends to average about 10% of eligible households. Interviewers are instructed to make all reasonable attempts to obtain LFS interviews with members of eligible households. Each month, after all attempts to obtain interviews have been made, a small number of non-responding households remain. For households non-responding to the LFS, a weight adjustment is applied to account for non-responding households. Sampling errors associated with survey estimates are measured using coefficients of variation for LFS estimates as a function of the standard error and the size of the estimate. Other Forms of Data Appraisal All identified discrepancies, logical inconsistencies and missing information are resolved either automatically by the head office processing system or through manual intervention. This is accomplished through the imputation of logically consistent values. Where possible, deterministic imputation is used to resolve any inconsistent or missing information using other information provided by the respondent. When this is not possible, information for an individual may be carried forward from the previous month (if it exists) under certain circumstances. In other instances hot deck imputation is used, which involves copying information from another individual (i.e., a 'donor') with similar characteristics. Accessibility Access Authority Distributor(s) Access Conditions DLI License Agreement Data Liberation Initiative (Statistics Canada), dliidd@statcan.gc.ca Data Liberation Initiative Citation Requirements All publications using Statistics Canada data should identify Statistics Canada as the author, the respective survey title, as well as the year. The publishing of analysis and results from research using any of the data products is permitted in research communications such as scholarly papers, journals and the like. The authors of these communications are required to cite Statistics Canada as the source of the data, and to indicate that the results or views expressed are those of the author/ authorized user and are not those of Statistics Canada. Rights & Disclaimer Disclaimer The original collector of the data, Statistics Canada, bears no responsibility for uses of this collection, or the interpretations or inferences based upon such uses. Copyright Copyright Statistics Canada,

8 Labour Force Survey, October 2015 [Canada] - Files Description Files Description Dataset contains 1 file(s) LFS-71M0001-E-2015-October # Cases # Variable(s)

9 Labour Force Survey, October 2015 [Canada] - Variables Group(s) Variables Group(s) Dataset contains 18 group(s) Group Children 1 AGYOWNKN Age of youngest own child (children) 2 SCH1624 At least one child age 16 to 24 in school discrete numeric discrete numeric Group Demography 1 AGE_12 Age of respondent (five year age groups) 2 AGE_6 Age of respondent (two and three year age groups) discrete numeric discrete numeric SEX Sex of respondent discrete numeric MARSTAT Marital status of respondent discrete numeric SP_AGE Age of spouse discrete numeric Group Economic family 1 EFAMTYPE Type of economic family discrete numeric EFAMSIZE Number of individuals in economic family 3 EFAMEMPL Number of employed persons in economic family 4 EFAMUNEM Number of unemployed persons in economic family continuous numeric continuous numeric continuous numeric Group Education 1 ED76to89 Highest educational attainment - From 1976 to EDUC90 Highest educational attainment - Begins SCHOOLN Current student status and type of school 4 SPED7689 Education of spouse - From 1976 to SPED1990 Education of spouse - Begins SCH1624 At least one child age 16 to 24 in school discrete numeric discrete numeric discrete numeric discrete numeric discrete numeric discrete numeric

10 Labour Force Survey, October 2015 [Canada] - Variables Group(s) Group Filler 1 FILLER_1 Filler 1 continuous numeric FILLER_2 Filler 2 continuous numeric Group Geography 1 PROV Province discrete numeric CMA Three largest Census Metropolitan Areas (CMAs) discrete numeric Group Industry and occupation 1 COWMAIN Class of worker, main job discrete numeric NAICS_18 Industry of main job - NAICS 2007 (18 categories) 3 NAICS_43 Industry of main job - NAICS 2007 (43 categories) 4 SOC80_49 Occupation at main job - SOC80 - From 1984 to SOC80_21 Occupation at main job - SOC80 - Ends in NOCS_01_25 Occupation at main job - NOCS S Begins 1987 (25 categories) 7 NOCS_01_47 Occupation at main job - NOCS S Begins 1987 (47 categories) 8 SP_SOC80 Occupation of spouse - From 1976 to SP_NOCS06 Occupation of spouse - NOC S Begins SP_COWM Spouse's class of worker at main job, employed discrete numeric discrete numeric discrete numeric discrete numeric discrete numeric discrete numeric discrete numeric discrete numeric discrete numeric Group Job status 1 PERMTEMP Permanent or temporary job, employees only discrete numeric Group Job tenure 1 TENURE Job tenure in months, currently employed only 2 PREVTEN Job tenure of previous job in months, not currently employed continuous numeric continuous numeric

11 Labour Force Survey, October 2015 [Canada] - Variables Group(s) Group Labour force status 1 LFSSTAT Labour force status discrete numeric SP_LFSST Labour force status of spouse discrete numeric Group Multiple or single job holder 1 MJH Multiple or single job holder discrete numeric Group Number of employees 1 ESTSIZE Number of employees at workplace 2 FIRMSIZE Number of employees at all locations discrete numeric discrete numeric Group Record number and survey date 1 REC_NUM Order of record in file continuous numeric SURVYEAR Survey year discrete numeric SURVMNTH Survey month discrete numeric Group Relationship to reference person 1 RELREFN Relationship to reference person discrete numeric Group Unemployment 1 EVERWORK Not currently employed, worked in past 2 FTPTLAST Full or part-time status of last job 3 DURUNEMP Duration unemployed in weeks discrete numeric discrete numeric continuous numeric FLOWUNEM Flows into unemployment discrete numeric UNEMFTPT Unemployed, type of job wanted 6 WHYLEFTO Not employed, reason for leaving job - From 1976 to WHYLEFTN Not employed, reason for leaving job - Begins DURJLESS Duration of joblessness in months, worked in past discrete numeric discrete numeric discrete numeric continuous numeric

12 Labour Force Survey, October 2015 [Canada] - Variables Group(s) 9 AVAILABL Identifies if available for work in reference week 10 LKPUBAG Unemployed, checked with public employment agency 11 LKEMPLOY Unemployed, checked with employers directly 12 LKRELS Unemployed, contacted relatives discrete numeric discrete numeric discrete numeric discrete numeric LKATADS Unemployed, looked at ads discrete numeric LKANSADS Unemployed, placed or answered ads discrete numeric LKOTHER Unemployed, other methods discrete numeric PRIORACT Main activity before started looking for work 17 YNOLKOLD 1976 to 1996: looked in last six months, reason not looking last four weeks 18 YNOLOOK Wanted job in reference week, reason for not looking 19 TLOLOOK Temporary layoff, job search in last four weeks discrete numeric discrete numeric discrete numeric discrete numeric Group Union membership 1 UNION Union membership status, employees only discrete numeric Group Weight variable 1 FWEIGHT Final individual or family weight continuous numeric Group Work hours, pay and absence 1 YABSENT Employed: reason absent full week discrete numeric WKSAWAY Weeks absent from work continuous numeric PAYAWAY Paid for any time off, full week absence only 4 UHRSMAIN Usual hours per week at main job 5 AHRSMAIN Actual hours per week at main job 6 FTPTMAIN Full-time or part-time main or only job 7 UTOTHRS Usual hours per week at all jobs discrete numeric continuous numeric continuous numeric discrete numeric continuous numeric

13 Labour Force Survey, October 2015 [Canada] - Variables Group(s) 8 ATOTHRS Actual hours per week at all jobs 9 HRSAWAY Hours away from work, employees, part-week only 10 YAWAY Reason for part-week absence 11 PAIDOT Paid overtime hours in reference week 12 UNPAIDOT Unpaid overtime hours in reference week 13 XTRAHRS Number of overtime or extra hours worked 14 WHYPTOLD Reason for part-time - From 1976 to WHYPTNEW Reason for part-time - Begins HRLYEARN Usual hourly wages, employees only 17 SP_UHRSM Spouse's usual hours at main job, employed 18 SP_UHRST Spouse's usual hours at all jobs, employed continuous numeric continuous numeric discrete numeric continuous numeric continuous numeric continuous numeric discrete numeric discrete numeric continuous numeric discrete numeric discrete numeric

14 Labour Force Survey, October 2015 [Canada] - Variables Description Variables Description Dataset contains 81 variable(s)

15 File : LFS-71M0001-E-2015-October # REC_NUM: Order of record in file [Type= continuous] [Format=numeric] [Range= ] [Missing=*] Statistics [NW/ W] [Valid= / ] [Invalid=0 / 0 ] [Mean=51066 / ] [StdDev= / ] # SURVYEAR: Survey year [Type= discrete] [Format=numeric] [Range= ] [Missing=*] Statistics [NW/ W] [Valid= / ] [Invalid=0 / 0 ] [Mean=2015 / 2015 ] [StdDev=0 / 2.31e-05 ] % # SURVMNTH: Survey month [Type= discrete] [Format=numeric] [Range= 10-10] [Missing=*] Statistics [NW/ W] [Valid= / ] [Invalid=0 / 0 ] [Mean=10 / 10 ] [StdDev=0 / 0 ] 10 October % # LFSSTAT: Labour force status [Type= discrete] [Format=numeric] [Range= 1-6] [Missing=*] Statistics [NW/ W] [Valid= / ] [Invalid=0 / 0 ] [Mean=2.962 / ] [StdDev=2.354 / ] 1 Employed, at work % 2 Employed, absent from work % 3 Unemployed, temporary layoff % 4 Unemployed, job searcher % 5 Unemployed, future start % 6 Not in labour force % # PROV: Province [Type= discrete] [Format=numeric] [Range= 10-59] [Missing=*] Statistics [NW/ W] [Valid= / ] [Invalid=0 / 0 ] [Mean= / ] [StdDev= / ] 10 Newfoundland % 11 Prince Edward Island % 12 Nova Scotia % 13 New Brunswick % 24 Québec % 35 Ontario % 46 Manitoba % 47 Saskatchewan % 48 Alberta % 59 British Columbia %

16 File : LFS-71M0001-E-2015-October # CMA: Three largest Census Metropolitan Areas (CMAs) [Type= discrete] [Format=numeric] [Range= 1-4] [Missing=*] Statistics [NW/ W] [Valid= / ] [Invalid=0 / 0 ] [Mean=3.754 / ] [StdDev=0.707 / ] 1 Montreal % 2 Toronto % 3 Vancouver % 4 Other Census Metropolitan Area or non-census Metropolitan Area % # AGE_12: Age of respondent (five year age groups) [Type= discrete] [Format=numeric] [Range= 1-12] [Missing=*] Statistics [NW/ W] [Valid= / ] [Invalid=0 / 0 ] [Mean=6.995 / ] [StdDev=3.5 / ] 1 15 to % 2 20 to % 3 25 to % 4 30 to % 5 35 to % 6 40 to % 7 45 to % 8 50 to % 9 55 to % to % to % or more % # AGE_6: Age of respondent (two and three year age groups) [Type= discrete] [Format=numeric] [Range= 1-6] [Missing=*] Statistics [NW/ W] [Valid=21528 / ] [Invalid=80603 / ] [Mean=3.592 / ] [StdDev=1.703 / ] 1 15 to % 2 17 to % 3 20 to % 4 22 to % 5 25 to % 6 27 to % Sysmiss # SEX: Sex of respondent [Type= discrete] [Format=numeric] [Range= 1-2] [Missing=*] Statistics [NW/ W] [Valid= / ] [Invalid=0 / 0 ] [Mean=1.516 / ] [StdDev=0.5 / 0.5 ]

17 File : LFS-71M0001-E-2015-October # SEX: Sex of respondent 1 Male % 2 Female % # MARSTAT: Marital status of respondent [Type= discrete] [Format=numeric] [Range= 1-6] [Missing=*] Statistics [NW/ W] [Valid= / ] [Invalid=0 / 0 ] [Mean=2.811 / ] [StdDev=2.148 / ] 1 Married % 2 Living in common-law % 3 Widowed % 4 Separated % 5 Divorced % 6 Single, never married % # ED76to89: Highest educational attainment - From 1976 to 1989 [Type= discrete] [Format=numeric] [Range= 0-5] [Missing=*] Statistics [NW/ W] [Valid=0 / 0 ] [Invalid= / ] 0 0 to 8 years schooling to 10 years schooling to 13 years schooling Some post-secondary Post-secondary certificate of diploma University degree Sysmiss # EDUC90: Highest educational attainment - Begins 1990 [Type= discrete] [Format=numeric] [Range= 0-6] [Missing=*] Statistics [NW/ W] [Valid= / ] [Invalid=0 / 0 ] [Mean=3.133 / ] [StdDev=1.647 / ] 0 0 to 8 years schooling % 1 Some secondary % 2 Grade 11 to 13 graduation % 3 Some post-secondary % 4 Post-secondary certificate of diploma % 5 University: bachelors degree % 6 University: graduate degree % # MJH: Multiple or single job holder [Type= discrete] [Format=numeric] [Range= 1-2] [Missing=*] Statistics [NW/ W] [Valid=61231 / ] [Invalid=40900 / ] [Mean=1.056 / ] [StdDev=0.23 / ]

18 File : LFS-71M0001-E-2015-October # MJH: Multiple or single job holder 1 Single job holder, including job changers % 2 Multiple job holder % Sysmiss # EVERWORK: Not currently employed, worked in past [Type= discrete] [Format=numeric] [Range= 1-3] [Missing=*] Statistics [NW/ W] [Valid=40900 / ] [Invalid=61231 / ] [Mean=1.95 / ] [StdDev=0.57 / ] 1 Yes, within last year % 2 Yes, more than 1 year ago % 3 No, never worked % Sysmiss # FTPTLAST: Full or part-time status of last job [Type= discrete] [Format=numeric] [Range= 1-2] [Missing=*] Statistics [NW/ W] [Valid=7721 / ] [Invalid=94410 / ] [Mean=1.315 / ] [StdDev=0.465 / ] 1 Full-time (30 hours or more) % 2 Part-time (1 to 29 hours) % Sysmiss # COWMAIN: Class of worker, main job [Type= discrete] [Format=numeric] [Range= 1-7] [Missing=*] Statistics [NW/ W] [Valid=68870 / ] [Invalid=33261 / ] [Mean=2.18 / ] [StdDev=1.247 / ] 1 Public employee % 2 Private employee % 3 Private, self-employed incorporated with employees 4 Private, self-employed incorporated, no employees 5 Private, self-employed unincorporated with employees 6 Private, self-employed unincorporated, no employees % % % % 7 Private, unpaid family worker % Sysmiss # FILLER_1: Filler 1 [Type= continuous] [Format=numeric] [Missing=*] Statistics [NW/ W] [Valid=0 /-] [Invalid= /-]

19 File : LFS-71M0001-E-2015-October # FILLER_2: Filler 2 [Type= continuous] [Format=numeric] [Missing=*] Statistics [NW/ W] [Valid=0 /-] [Invalid= /-] # NAICS_18: Industry of main job - NAICS 2007 (18 categories) [Type= discrete] [Format=numeric] [Range= 1-18] [Missing=*] Statistics [NW/ W] [Valid=68870 / ] [Invalid=33261 / ] [Mean=10.39 / ] [StdDev=4.764 / ] 1 Agriculture % 2 Forestry, Fishing, Mining, Oil and Gas % 3 Utilities % 4 Construction % 5 Manufacture - Durables % 6 Manufact - Non-Durables % 7 Wholesale Trade % 8 Retail Trade % 9 Transport and Warehousing % 10 Finance, Insurance, Real Estate and Leasing % 11 Professional, Scientific and Technical Services % 12 Management, Administrative and Other Support % 13 Educational Services % 14 Health Care and Social Assistance % 15, Culture and Recreation % 16 Accommodation and Food Services % 17 Other Services % 18 Public Administration % Sysmiss # NAICS_43: Industry of main job - NAICS 2007 (43 categories) [Type= discrete] [Format=numeric] [Range= 1-43] [Missing=*] Statistics [NW/ W] [Valid=68870 / ] [Invalid=33261 / ] [Mean= / ] [StdDev= / ] 1 Agriculture % 2 Forestry and Logging with support activities % 3 Fishing, Hunting and Trapping % 4 Mining and Oil and Gas Extraction % 5 Utilities % 6 Prime Contracting % 7 Trade Contracting % 8 Food, Beverage and Tobacco Product Manufacturing % 9 Textile Mills & Textile Product Mills % 10 Clothing Manufacturing, Leather and Allied Product Manufacturing % 11 Wood Product Manufacturing %

20 File : LFS-71M0001-E-2015-October # NAICS_43: Industry of main job - NAICS 2007 (43 categories) 12 Paper Manufacturing % 13 Printing and Related Support Activities % 14 Petroleum and Coal Products Manufacturing % 15 Chemical Manufacturing % 16 Plastics and Rubber Products Manufacturing % 17 Non-Metallic Mineral Product Manufacturing % 18 Primary Metal Manufacturing % 19 Fabricated Metal Product Manufacturing % 20 Machinery Manufacturing % 21 Computer and Electronic Product Manufacturing % 22 Electrical Equipment, Appliance and Component Manufacturing % 23 Transportation Equipment Manufacturing % 24 Furniture and Related Product Manufacturing % 25 Miscellaneous Manufacturing % 26 Wholesale Trade % 27 Retail Trade % 28 Transportation % 29 Wharehousing and Storage % 30 Finance % 31 Insurance Carriers, Related Activities, Funds and Other Financial Vehicles % 32 Real Estate % 33 Rental and Leasing Services, Owners amd Lessors of Other Non-Financial Assets % 34 Professional, Scientific and Technical Services % 35 Management, Administrative and Other Support % 36 Educational Services % 37 Health Care and Social Assistance % 38, Culture and Recreation % 39 Accommodation and Food Services % 40 Other Services % 41 Federal Government Public Administration (including Defence Services) % 42 Provincial and Territorial Public Administration % 43 Local, Municipal and Regional Public Administration and Aboriginal, Inter & Other Extra-Territorial Public Admin % Sysmiss # SOC80_49: Occupation at main job - SOC80 - From 1984 to 1986 [Type= discrete] [Format=numeric] [Range= 1-49] [Missing=*] Statistics [NW/ W] [Valid=0 / 0 ] [Invalid= / ] 1 Officials and Administrative, Government

21 File : LFS-71M0001-E-2015-October # SOC80_49: Occupation at main job - SOC80 - From 1984 to Other Managers Administration Management Administration Related Physical and Life Science Math, Statistics, Systems Analysis and Related Architects and Engineers Architecture and Engineering Related Social Sciences and Related Religion University and Related Elementary and Secondary and Related Other Teaching and Related Health Diagnosing and Treating Nursing, Therapy and Related Medicine and Health Related Artistic and Recreation Stenographic and Typing Bookeeping, Account-Recording and Related Office Machine and EDP Operator Material Recording, Scheduling and Distribution Reception,, Mail and Message Library, File, Correspondence, Other Clerical and Related Sales and Commodities Sales, Services and Other Sales Protective Services Food and Beverage Preparations, Lodging and Accomodations Personal, Apparel and Furnishing Other Service Occupations Farmers and Farm Management Other Farming, Horticulture and Husbandry Fishing, Hunting, Trapping and Related Forestry and Logging Mining and Quarrying, Incuding Gas and Oil Fields Food, Beverage Processing and Related Other Processing Occupations Metal Shaping and Forming Other Machining Occupations Metal Production, N.E.C Electrical, Electronic and Related Equipment Textiles, Furs and Leather Goods Wood Products, Rubber, Plastics and Related Mechanics and Repairmen

22 File : LFS-71M0001-E-2015-October # SOC80_49: Occupation at main job - SOC80 - From 1984 to Excavating, Grading, Paving and Related Electrical Power, Lighting and Wire Communication Other Construction Trades Motor Transport Operators Other Transportation Operators Material Handling Other Crafts and Equipment Operators, and N.E.C Sysmiss # SOC80_21: Occupation at main job - SOC80 - Ends in 1998 [Type= discrete] [Format=numeric] [Range= 1-22] [Missing=*] Statistics [NW/ W] [Valid=0 / 0 ] [Invalid= / ] 1 Managerial and Administrative Natural Sciences, Engineering and Math Social Science and Related Religion Teaching and Related Medecine and Health Artictic, literary, Recreational and Related Clerical and Related Sales Service Farming, Horticultural and Husbandry Fishing, Trapping and Related Forestry and Logging Mining, Quarrying, Including Oil and Gas Processing Machining Fabricating Construction Transport Equipment Operating Material Handling Other Crafts Never Worked, Disabled or Worked more than 1 year ago Sysmiss # NOCS_01_25: Occupation at main job - NOCS S Begins 1987 (25 categories) [Type= discrete] [Format=numeric] [Range= 1-25] [Missing=*] Statistics [NW/ W] [Valid=68870 / ] [Invalid=33261 / ] [Mean= / ] [StdDev=6.939 / ]

23 File : LFS-71M0001-E-2015-October # NOCS_01_25: Occupation at main job - NOCS S Begins 1987 (25 categories) 1 Senior Management Occupations % 2 Other Management Occupations % 3 Professional Occupations in Business and Finance 4 Financial, Secretarial and Administrative Occupations % % 5 Clerical Occupations, Including Supervisors % 6 Natural and Applied Sciences and Related Occupations 7 Professional Occupations in Health, Nurse Supervisors and Registered Nurses 8 Technical, Assisting and Related Occupations in Health 9 Occupations in Social Science, Government Service and Religion % % % % 10 Teachers and Professors % 11 Occupations in Art, Culture, Recreation and Sport 12 Wholesale, Technical, Insurance, Real Estate Sales Specialists, and Retail, Wholesale and Grain Buyers 13 Retail Salespersons, Sales Clerks, Cashiers, Including Retail Trade Supervisors 14 Chefs and Cooks, and Occupations in Food and Beverage Service, Including Supervisors % % % % 15 Occupation in Protective Services % 16 Childcare and Home Support Workers % 17 Sales and Service Occupations N.E.C., Including Occupations in Travel and Accommodation, Attendants in Recreation and Sport as well as Supervisors 18 Contractors and Supervisors in Trades and Transportation % % 19 Construction Trades % 20 Other Trades Occupations % 21 Transport and Equipment Operators % 22 Trades Helpers, Construction, and Transportation Labourers and Related Occupations % 23 Occupations Unique to Primary Industry % 24 Machine Operators and Assemblers in Manufacturing, Including Supervisors 25 Labourer in Processing, Manufacturing and Utilities % % Sysmiss # NOCS_01_47: Occupation at main job - NOCS S Begins 1987 (47 categories) [Type= discrete] [Format=numeric] [Range= 1-47] [Missing=*] Statistics [NW/ W] [Valid=68870 / ] [Invalid=33261 / ] [Mean= / ] [StdDev= / ]

24 File : LFS-71M0001-E-2015-October # NOCS_01_47: Occupation at main job - NOCS S Begins 1987 (47 categories) 1 Senior Management Occupations % 2 Specialist Managers % 3 Managers in Retail Trade, Food and Accommodation Services % 4 Other Managers N.E.C % 5 Professional Occupations in Business and Finance 6 Finance and Insurance Administrative Occupations % % 7 Secretaries % 8 Administrative and Regulatory Occupations % 9 Clerical Supervisors % 10 Clerical Occupations % 11 Professional Occupations in Natural and Applied Sciences 12 Technical Occupations Related to Natural and Applied Sciences % % 13 Professional Occupations in Health % 14 Nurse Supervisors and Registered Nurses % 15 Technical and Related Occupations in Health % 16 Assisting Occupations in Support of Health Services 17 Judges, Lawyers, Psychologists, Social Workers, Ministers of Religion, and Policy and Program Officers % % 18 Teachers and Professors % 19 Paralegals, Social Services Workers and Occupations in Education and Religion, N.E.C % 20 Professional Occupations in Art and Culture % 21 Technical Occupations in Art, Culture, Recreation and Sport % 22 Sales and Service Supervisors % 23 Wholesale, Technical, Insurance, Real Estate Sales Specialists, and Retail, Wholesale and Grain Buyers % 24 Retail Salespersons and Sales Clerks % 25 Cashiers % 26 Chefs and Cooks % 27 Occupations in Food and Beverage Service % 28 Occupations in Protective Services % 29 Occupations in Travel and Accommodation Including Attendants in Recreation and Sport % 30 Childcare and Home Support Workers % 31 Sales & Service Occupations N.E.C % 32 Contractors and Supervisors in Trades and Transportation % 33 Construction Trades %

25 File : LFS-71M0001-E-2015-October # NOCS_01_47: Occupation at main job - NOCS S Begins 1987 (47 categories) 34 Stationary Engineers, Power Station Operators and Electrical Trades and Telecommunications Occupations 35 Machinists, Metal Forming, Shaping and Erecting Occupations % % 36 Mechanics % 37 Other Trades N.E.C % 38 Heavy Equipment and Crane Operators Including Drillers 39 Transportation Equipment Operators and Related Workers, Excluding Labourers 40 Trades Helpers, Construction, and Transportation Labourers and Related Occupations 41 Occupations Unique to Agriculture Excluding Labourers 42 Occupations Unique to Forestry Operations, Mining, Oil and Gas Extraction, and Fishing, Excluding Labourers % % % % % 43 Primary Production Labourers % 44 Supervisors in Manufacturing % 45 Machine Operators in Manufacturing % 46 Assemblers in Manufacturing % 47 Labourers in Processing, Manufacturing and Utilities % Sysmiss # YABSENT: Employed: reason absent full week [Type= discrete] [Format=numeric] [Range= 0-3] [Missing=*] Statistics [NW/ W] [Valid=4351 / ] [Invalid=97780 / ] [Mean=1.757 / ] [StdDev=1.092 / ] 0 Other % 1 Own illness or disability % 2 Personal or family responsibilities % 3 Vacation % Sysmiss # WKSAWAY: Weeks absent from work [Type= continuous] [Format=numeric] [Range= 1-99] [Missing=*] Statistics [NW/ W] [Valid=4351 / ] [Invalid=97780 / ] [Mean= / ] [StdDev= / ] # PAYAWAY: Paid for any time off, full week absence only [Type= discrete] [Format=numeric] [Range= 1-2] [Missing=*] Statistics [NW/ W] [Valid=3918 / ] [Invalid=98213 / ] [Mean=1.54 / ] [StdDev=0.498 / ] 1 Yes % 2 No %

26 File : LFS-71M0001-E-2015-October # PAYAWAY: Paid for any time off, full week absence only Sysmiss # UHRSMAIN: Usual hours per week at main job [Type= continuous] [Format=numeric] [Range= ] [Missing=*] Statistics [NW/ W] [Valid=61231 / ] [Invalid=40900 / ] [Mean= / ] [StdDev=12.5 / ] # AHRSMAIN: Actual hours per week at main job [Type= continuous] [Format=numeric] [Range= 0-99] [Missing=*] Statistics [NW/ W] [Valid=61231 / ] [Invalid=40900 / ] [Mean= / ] [StdDev= / ] # FTPTMAIN: Full-time or part-time main or only job [Type= discrete] [Format=numeric] [Range= 1-2] [Missing=*] Statistics [NW/ W] [Valid=61231 / ] [Invalid=40900 / ] [Mean=1.192 / ] [StdDev=0.394 / ] 1 Full-time % 2 Part-time % Sysmiss # UTOTHRS: Usual hours per week at all jobs [Type= continuous] [Format=numeric] [Range= ] [Missing=*] Statistics [NW/ W] [Valid=61231 / ] [Invalid=40900 / ] [Mean= / ] [StdDev= / ] # ATOTHRS: Actual hours per week at all jobs [Type= continuous] [Format=numeric] [Range= 0-99] [Missing=*] Statistics [NW/ W] [Valid=61231 / ] [Invalid=40900 / ] [Mean= / ] [StdDev= / ] # HRSAWAY: Hours away from work, employees, part-week only [Type= continuous] [Format=numeric] [Range= 0-84] [Missing=*] Statistics [NW/ W] [Valid=48309 / ] [Invalid=53822 / ] [Mean=4.906 / ] [StdDev=5.882 / ] # YAWAY: Reason for part-week absence [Type= discrete] [Format=numeric] [Range= 0-4] [Missing=*] Statistics [NW/ W] [Valid=25889 / ] [Invalid=76242 / ] [Mean=2.863 / ] [StdDev=0.531 / ] 0 Other reasons % 1 Own illness or disability % 2 Personal or family responsibilities % 3 Vacation or civic holiday % 4 Working short-time % Sysmiss # PAIDOT: Paid overtime hours in reference week [Type= continuous] [Format=numeric] [Range= 0-90] [Missing=*] Statistics [NW/ W] [Valid=48309 / ] [Invalid=53822 / ] [Mean=1.059 / ] [StdDev=3.987 / ]

27 File : LFS-71M0001-E-2015-October # UNPAIDOT: Unpaid overtime hours in reference week [Type= continuous] [Format=numeric] [Range= 0-70] [Missing=*] Statistics [NW/ W] [Valid=48309 / ] [Invalid=53822 / ] [Mean=0.816 / ] [StdDev=3.216 / ] # XTRAHRS: Number of overtime or extra hours worked [Type= continuous] [Format=numeric] [Range= 0-90] [Missing=*] Statistics [NW/ W] [Valid=48309 / ] [Invalid=53822 / ] [Mean=1.875 / ] [StdDev=5.015 / ] # WHYPTOLD: Reason for part-time - From 1976 to 1996 [Type= discrete] [Format=numeric] [Range= 0-7] [Missing=*] Statistics [NW/ W] [Valid=0 / 0 ] [Invalid= / ] 0 Other reasons Own illness or disability Personal or family responsibilities Going to school Could only find part-time Did not want full-time Hours under 30: full-time Not asked, multiple job holder, total hours more than Sysmiss # WHYPTNEW: Reason for part-time - Begins 1997 [Type= discrete] [Format=numeric] [Range= 0-7] [Missing=*] Statistics [NW/ W] [Valid=11742 / ] [Invalid=90389 / ] [Mean=4.468 / ] [StdDev=1.698 / ] 0 Other reasons % 1 Own illness or disability % 2 Care for own children % 3 Personal or family responsibilities % 4 Going to school % 5 Personal preference % 6 Business conditions or could not find full-time, looked for full-time 7 Business conditions or could not find full-time, did not look for full-time % Sysmiss % # TENURE: Job tenure in months, currently employed only [Type= continuous] [Format=numeric] [Range= 1-240] [Missing=*] Statistics [NW/ W] [Valid=61231 / ] [Invalid=40900 / ] [Mean= / ] [StdDev= / ] # PREVTEN: Job tenure of previous job in months, not currently employed [Type= continuous] [Format=numeric] [Range= 1-240] [Missing=*] Statistics [NW/ W] [Valid=7639 / ] [Invalid=94492 / ] [Mean= / ] [StdDev= / ]