This table contains 63 series, with data for years 2015 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Salary characteristics (11 items: Less than 10.00, hourly wage, grouped (in dollars); 10.00 to 14.99, hourly wage, grouped (in dollars); 15.00 to 19.99,hourly wage, grouped (in dollars); 20.00 to 24.99, hourly wage, grouped (in dollars); ...) Apprentice status (3 items: Total, apprentices status; Completers; Discontinuers) Statistics (3 items: Percent; Standard error; Number).

Survey of Household Spending (SHS), dwelling characteristics and household equipment, percentage of households reporting and estimated number of households reporting.

Statistics on the labour force activity of postsecondary graduates at the time of the interview, including employed, employed full time, employed part time, not in the labour force and unemployed, are presented by the province of study, the level of study and gender. Estimates are available at five-year intervals.

Statistics on postsecondary graduates, including the number of graduates, the percentage of female graduates and age at graduation, are presented by the location of residence at the time of the interview and the level of study. Estimates are available at five-year intervals.

National graduates survey, estimated gross annual earnings of graduates working full-time, by location of residence at interview, level of study and sex

Survey of Household Spending (SHS), dwelling characteristics and household equipment, percentage of households reporting and estimated number of households reporting.

Survey of household spending (SHS), dwelling characteristics and household equipment at time of interview, Canada, regions and provinces

This microdata file is part of a series from Statistics Canada's Survey of Consumer Finances which contain income as well as personal and labour-related characteristics of individuals aged 15 years and over. A limited number of characteristics of the individual's economic and census families are also included on the file. The sample is designed to represent approximately 98% of the population. Excluded population groups are residents of the Yukon and Northwest Territories; residents of Indian reserves; residents of military barracks; and inmates of institutions such as prisons, penitentiaries, jails, reformatories, mental hospitals, tuberculosis hospitals, sanitoria, orphanages and homes for the aged.Statistics Canada interviewers contact each of the households in the sample through personal and/or telephone interviews to obtain information needed to produce the labour force data. The sample is based on dwellings. A dwelling may include more than one household. Once a dwelling is selected, it remains in the sample for a period of six months. Each interviewer contacts approximately 65 dwellings and conducts a personal interview in all dwellings where interviews are being held for the first time. In most areas, provided the respondent agrees, subsequent interviews are conducted by telephone. The sample employed for the Survey of Consumer Finances is the Labour Force Survey sample. .

Estimated gross annual earnings quartiles for postsecondary graduates working full time at the time of the interview are presented by the location of residence at the time of the interview, the level of study and gender. Estimates are available at five-year intervals.

National graduates survey, postsecondary graduates by location of residence at interview and level of study

Statistics on student debt, including the average debt at graduation, the percentage of graduates who owed large debt at graduation and the percentage of graduates with debt who had paid it off at the time of the interview, are presented by the location of residence at the time of the interview and the level of study. Estimates are available at five-year intervals.

This table contains 2790 series, with data for years 1997 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (31 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Statistics (2 items: Percent of households reporting; Estimated number of households reporting); Household equipment (45 items: Households having a washing machine; Households having a clothes dryer; Households having a dishwasher; Households having refrigerators; ...).

The 2020 GSS on Social Identity interviewed individuals 15 years and over in Canada's ten provinces and was conducted from August 2020 to February 2021. The interviews were conducted via self-assisted electronic questionnaire (respondent EQ, or rEQ) and by telephone via interviewer-assisted electronic questionnaire (interviewer EQ, or iEQ, formerly known as Computer Assisted Telephone Interviewing (CATI)). Data are subject to both sampling and non-sampling errors. These topics are discussed in detail in this guide. The 2020 SI survey is the fourth cycle of the GSS to collect data on social identity, social engagement, and social networks. The previous iteration of the survey (Cycle 27 - Social Identity) was collected in 2013, the second was Cycle 22 - Social Networks in 2008, and the first was Cycle 17 - Social Engagement in 2003.

Statistics on postsecondary graduates, including the number of graduates, age at graduation and percentage of those who pursued further postsecondary education between graduation and time of interview, are presented by the province of residence at interview, the level of study, the field of study and sex.

(StatCan Product) Participation and unemployment rates and student population counts for Canada and provinces by selected age groups (annual averages in %). Customization details: This information product has been customized to present information onparticipation rates, unemployment rates and student population counts for Canada and provinces by selected age groups (annual averages in percentage). Participation and unemployment rates age groups presented are: - 18 to 24 years - 18 to 34 years - 15 years and over The variables presented for the student population are (18 to 34 years – 8 month averages): - Student and non-student - Number attending college - Number attending university - Others - Total attending PS - % Total attending PS 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 of logically inconsistent or missing information items, and the correction of such conditions. Since the true value of each entry on the questionnaire is not known, the identification of errors can be done only through recognition of obvious inconsistencies (for example, a 15 year-old respondent who is recorded as having last worked in 1940). Estimation 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. Data accuracy Since the LFS is a sample survey, all LFS estimates are subject to both sampling error and non-sampling errors. Non-sampling errors can arise at any stage of the collection and processing of the survey data. These include coverage errors, non-response 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. Interviews 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 size of the estimate and the geographic area.

Statistics on postsecondary graduates participation in work-integrated learning (WIL), including whether or not the participation was mandatory or paid, are presented by the province of residence at interview, the level of study, the field of study and sex.

This table contains 126 series, with data for years 2015 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Employment characteristics (12 items: Worked at job/business week prior to interview; Didn't work at job/business week prior to interview; Sample size of apprentices used in calculations (worked/didn't work at job/business week prior to interview); Worked full-time (30 hours or more per week); ...) Demographic characteristics (6 items: Men; Women; Aboriginal apprentices; Non-Aboriginal apprentices; ...) Statistics (3 items: Percent; Standard error; Number).

Interview data on speed skating in Canada

Statistics on the labour market outcomes of postsecondary graduates, including the employment status and estimated gross annual earnings, are presented by the province of study, the level of study, the field of study, sex and work-integrated learning (WIL) participation.

Statistics on the labour force activity of postsecondary graduates at the time of the interview, including employed, employed full time, employed part time, not in the labour force and unemployed, are presented by the province of study, the level of study and gender. Estimates are available at five-year intervals.