
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.
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. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, data on wage rates, union status, job permanency and establishment size are also produced.
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.
Roughly one-in-five U.S. adults were raised with a mixed religious background, according to a new Pew Research Center study. This includes about one-in-ten who say they were raised by two people, both of whom were religiously affiliated but with different religions, such as a Protestant mother and a Catholic father, or a Jewish mother and a Protestant stepfather. An additional 12% say they were raised by one person who was religiously affiliated (e.g., with Protestantism, Catholicism, Judaism or another religion) and another person who was religiously unaffiliated (atheist, agnostic or “nothing in particular”).
There are five main data files: 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. These files include countries/economies/subregions that fully met adjudication criteria. An additional data file contains the data for countries with adjudication issues (see note on additional data files below for a list of countries with adjudication issues).
The Programme for International Student Assessment (PISA) is an international comparative study of student performance directed by the Organisation for Economic Co-operation and Development (OECD). PISA measures the cumulative outcomes of education by assessing how well 15-year-olds, who are nearing the end of their compulsory schooling in most participating educational systems, are prepared to use the knowledge and skills in particular areas to meet real-life opportunities and challenges. The term literacy is attached to the assessment domains of reading, mathematics and science to reflect the focus on these broader skills and as a concept it is used in a much broader sense than simply being able to read and write. The OECD considers that mathematics and science are so pervasive in modern life that it is important for students to be literate in these areas as well. This report presents the results for Australia as a whole, for the Australian states and territories and for the other participants in PISA 2018, so that Australia’s results can be viewed in an international context, and student performance can be monitored over time.
The project was carried out by CRRC Georgia for UN Women’s project “Women’s Economic Empowerment in the South Caucasus”, funded by the Swiss Agency for Development and Cooperation for the South Caucasus (SDC). Products produced on the website cannot be attributed to UN Women, United Nations or any of its affiliated organizations. Please note that differences displayed in cross-tabulations may not be statistically significant. Numbers may vary from the report due to different statistical analysis processes.
The project was carried out by CRRC Georgia for UN Women’s project “Women’s Economic Empowerment in the South Caucasus”, funded by the Swiss Agency for Development and Cooperation for the South Caucasus (SDC). Products produced on the website cannot be attributed to UN Women, United Nations or any of its affiliated organizations. Please note that differences displayed in cross-tabulations may not be statistically significant. Numbers may vary from the report due to different statistical analysis processes.