Respondent qualification age - 15+
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Data project
The main purpose of this survey is to study the coverage of the employment insurance program. It provides a meaningful picture of who does or does not have access to EI benefits among the jobless and those in a situation of underemployment. The Employment Insurance Coverage Survey also covers access to maternity and parental benefits. The survey was designed to produce a series of precise measures to identify groups with low probability of receiving benefits, for instance, the long-term jobless, labour market entrants and students, people becoming unemployed after uninsured employment, people who have left jobs voluntarily and individuals who are eligible, given their employment history, but do not claim or otherwise receive benefits. The survey provides a detailed description of the characteristics of the last job held as well as reasons for not receiving benefits or for not claiming. Through the survey data, analysts will also be able to observe the characteristics and situation of people not covered by EI and of those who exhausted EI benefits, the job search intensity of the unemployed, expectation of recall to a job, and alternate sources of income and funds. Survey data pertaining to maternity and parental benefits answer questions on the proportion of mothers of an infant who received maternity and parental benefits, the reason why some mothers do not receive benefits and about sharing parental benefits with their spouse. The survey also allows looking at the timing and circumstances related to the return to work, the income adequacy of households with young children and more.
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Data project
The main purpose of this survey is to study the coverage of the employment insurance program. It provides a meaningful picture of who does or does not have access to EI benefits among the jobless and those in a situation of underemployment. The Employment Insurance Coverage Survey also covers access to maternity and parental benefits. The survey was designed to produce a series of precise measures to identify groups with low probability of receiving benefits, for instance, the long-term jobless, labour market entrants and students, people becoming unemployed after uninsured employment, people who have left jobs voluntarily and individuals who are eligible, given their employment history, but do not claim or otherwise receive benefits. The survey provides a detailed description of the characteristics of the last job held as well as reasons for not receiving benefits or for not claiming. Through the survey data, analysts will also be able to observe the characteristics and situation of people not covered by EI and of those who exhausted EI benefits, the job search intensity of the unemployed, expectation of recall to a job, and alternate sources of income and funds. Survey data pertaining to maternity and parental benefits answer questions on the proportion of mothers of an infant who received maternity and parental benefits, the reason why some mothers do not receive benefits and about sharing parental benefits with their spouse. The survey also allows looking at the timing and circumstances related to the return to work, the income adequacy of households with young children and more.
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Data project
The main purpose of this survey is to study the coverage of the employment insurance program. It provides a meaningful picture of who does or does not have access to EI benefits among the jobless and those in a situation of underemployment. The Employment Insurance Coverage Survey also covers access to maternity and parental benefits. The survey was designed to produce a series of precise measures to identify groups with low probability of receiving benefits, for instance, the long-term jobless, labour market entrants and students, people becoming unemployed after uninsured employment, people who have left jobs voluntarily and individuals who are eligible, given their employment history, but do not claim or otherwise receive benefits. The survey provides a detailed description of the characteristics of the last job held as well as reasons for not receiving benefits or for not claiming. Through the survey data, analysts will also be able to observe the characteristics and situation of people not covered by EI and of those who exhausted EI benefits, the job search intensity of the unemployed, expectation of recall to a job, and alternate sources of income and funds. Survey data pertaining to maternity and parental benefits answer questions on the proportion of mothers of an infant who received maternity and parental benefits, the reason why some mothers do not receive benefits and about sharing parental benefits with their spouse. The survey also allows looking at the timing and circumstances related to the return to work, the income adequacy of households with young children and more.
The main data files include: the student-questionnaire data file (which also includes estimates of student performance and parent-questionnaire data), the school-questionnaire data file, the teacher-questionnaire data file, the cognitive item data file and a file with questionnaire timing data. Given the unprecedented situation caused by the COVID-19 pandemic, PISA 2022 data files include data from all participating education systems, including those where there were issues such as low response rates (see more details in PISA 2022 Results Volume I Reader’s Guide). PISA will return to the standard ways of releasing the international data files, i.e. only include data fully met the adjudication criteria, for the 2025 assessment. Some of these files are large. The time it takes to download the larger files, and how successfully the files download, will depend on your local Internet connection and other technical factors.
The assessment focuses on young people’s ability to apply their knowledge and skills to real-world problems and situations. The term ‘literacy’ reflects a focus on broader skills. As a concept, literacy is more than simply being able to read and write. Eighty-one countries or economies, involving around 690,000 students, participated in PISA 2022. In Australia, 743 schools and a total of 13,437 students (representing the full population of around 265,000 15-year-old students) completed the assessment. In Australia, PISA is managed by the Australian Council for Educational Research and is jointly funded by the Australian Government and all state and territory governments. PISA is a key part of Australia’s National Assessment Program. This report presents the results for Australia as a whole, for the Australian states and territories and for the other groups in PISA 2022. The results can be viewed in an international context, and student performance can be monitored over time.
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Data project
The main objective of the Canadian Tobacco and Nicotine Survey is to gather information about the prevalence of cigarette smoking, vaping, and cannabis use. Until 2017, Statistics Canada conducted the Canadian Tobacco, Alcohol and Drugs Survey (CTADS), which collected data on tobacco as well as alcohol and drug use in Canada. In 2019, the Canadian Alcohol and Drugs Survey (CADS) was conducted to collect data on alcohol and drug use independently from the Canadian Tobacco and Nicotine Survey (CTNS), which was conducted primarily to collect data on tobacco and nicotine use.
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Data project
The main objective of the Canadian Tobacco and Nicotine Survey is to gather information about the prevalence of cigarette smoking, vaping, and cannabis use. Until 2017, Statistics Canada conducted the Canadian Tobacco, Alcohol and Drugs Survey (CTADS), which collected data on tobacco as well as alcohol and drug use in Canada. In 2019, the Canadian Alcohol and Drugs Survey (CADS) was conducted to collect data on alcohol and drug use independently from the Canadian Tobacco and Nicotine Survey (CTNS), which was conducted primarily to collect data on tobacco and nicotine use.
Data project
The Canadian Perspectives Survey Series (CPSS) is a set of short, online surveys beginning in March 2020 that will be used to collect information on the knowledge and behaviours of residents of the 10 Canadian provinces. All surveys in the series will be asked of Statistics Canada's probability panel. The probability panel for the CPSS is a new pilot project initiated in 2019. An important goal of the CPSS is to directly collect data from Canadians in a timely manner in order to inform policy makers and be responsive to emerging data needs. The CPSS is designed to produce data at a national level (excluding the territories).
The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal
Data project
The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation.