Open Data

Labour Force Estimates by Occupation (2, 3 and 4 Digits NOCS) in Provinces and Economic Regions (Annual Average) (2009-2014)


(StatCan Product) Customization details:   This information product has been customized to present information on the labour force survey estimates by occupation (2, 3 and 4 digits NOCS) in provinces and economic regions from 2009 to 2014 using annual averages.   Labour Force Survey   The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these.   Target population   The LFS covers the civilian, non-institutionalized 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 and the institutionalized population. These groups together represent an exclusion of less than 2% of the Canadian population aged 15 and over. 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.   Instrument design   The current LFS questionnaire was introduced in 1997. 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.   Sampling   This is a sample survey with a cross-sectional design.   Data sources   Responding to this survey is mandatory. Data are collected directly from survey respondents. 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. 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. Error detection The LFS CAI questionnaire incorporates many features that serve to maximize the quality of the data collected. There are many edits built into the CAI questionnaire to compare the entered data against unusual values, as well as to check for logical inconsistencies. Whenever an edit fails, the interviewer is prompted to correct the information (with the help of the respondent when necessary). For most edit failures the interviewer has the ability to override the edit failure if they cannot resolve the apparent discrepancy. As well, for most questions the interviewer has the ability to enter a response of Don't Know or Refused if the respondent does not answer the question. Once the data is received back at head office an extensive series of processing steps is undertaken to thoroughly verify each record received. This includes the coding of industry and occupation information and the review of interviewer entered notes. The editing and imputation phases of processing involve the identification...

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Statistics Canada has adopted an open licence which allows this product to be accessible to all GOA employees and to the general public. This product has been reproduced and distributed on an “as is “ basis with the permission of Statistics Canada. It was originally acquired by Alberta Jobs, Skills, Training and Labour. Upcoming revisions   Following the release of final population estimates from each census, a standard revision is applied to the Labour Force Survey (LFS) estimates. The revised estimates are scheduled to be released on CANSIM (StatCan Online, FREE) in early February 2015, and will include the following:   • LFS data will be adjusted to reflect the 2011 Census population estimates and will be revised back to 2001. LFS data are currently based on estimates from the 2006 Census. • Geographic boundaries will be updated to the 2011 Standard Geographical Classification (SGC) from the current 2006 SGC. This change will slightly modify the boundaries of some Census Metropolitan Areas (CMAs) and Economic Regions (ERs). • Three ERs will be combined for data quality reasons. • New CANSIM (StatCan Online, FREE) tables will be created for all sub-provincial areas based on the 2011 census boundaries and the data series will be available for 2001 onward. A concordance table for the CANSIM (StatCan Online, FREE) vectors will be provided prior to release.   While the overall imputation strategy will not be changed, the revisions will include an update to the variables used to create the imputation groups to reflect both current response patterns and relationships between key variables. In early February 2015, these changes will be implemented historically, starting in January 2008.   Key labour market trends as well as rates of unemployment, employment and participation will be essentially unchanged as a result of these updates, and most changes to estimates will be minor.   Note that these revisions will not include updates to the classification structures for industry and occupation. These updates will take place in January 2016.   NOTE: Table cells showing ""0.0"" refer to estimates that are suppressed (cannot be published) because they are below the confidentiality threshold. Given that the Labour Force Survey is a sample survey, estimates relating to very specific, detailed geographic areas, industry or occupation groups are subject to higher variability due to small sample size.   The confidentiality threshold is 1,500 for Canada, Quebec, Ontario, Alberta and British Columbia; less than 500 for Newfoundland and Labrador, New Brunswick, Nova Scotia, Manitoba and Saskatchewan; and less than 200 for Prince Edward Island. For suppression levels within census metropolitan areas (CMAs), census agglomerations (CA) and economic regions (ERs), use the respective provincial suppression levels above.   The Labour Force Survey estimates are based on a sample, and are therefore subject to sampling variability. Estimates for smaller geographic areas, industries, occupations or cross tabulations will have more variability. For an explanation of sampling variability of estimates, and how to use standard errors to assess this variability, consult the Data Quality section in the Guide to the Labour Force Survey. Data prior to 2001 are not rebased and revised with the 2011 post censal estimates. The LFS guide:"


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