My data profiles
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. 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. 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. 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.
Technology-mediated interventions to promote physical activity are growing in popularity and appear to be effective for supporting continued adherence for some people. Some of this efficacy may be related to the cultivation of motivation that is self-determined (i.e., autonomous), which is posited to arise from the satisfaction of three basic psychological needs: competence, relatedness, and autonomy. The Peloton Instructor Needs-Supportive Coaching (PINC) tool was used to code 80 Peloton cycling classes across 4 different class types (Beginner, Power Zone, Groove, and High-Intensity Interval Training) to quantify the frequency of needs-supportive and needs-indifferent coaching within a class. We also provide an example of a pilot study using the tool to test the association between needs-supportive coaching and intrinsic motivation. This dataset provides the valid survey data used in the pilot study analysis to test the association between needs-supportive coaching and intrinsic motivation.
Childhood overweight and obesity due to unhealthy diet result in several adverse effects. Mothers play a major role in selecting snacks for younger children. This study assessed the factors associated with the choice of packaged food/beverage snacks among mothers of 6- to 10-year-old children in the Medical Officer of Health area Balangoda. A community-based descriptive cross-sectional study with an analytical component was conducted in 2022 among 450 mothers with 6- to 10-year-old children through two-stage, stratified (year of birth considered as a stratum), simple random sampling technique in ten randomly selected Public Health Midwife areas in the medical officer of health area Balangoda. An interviewer-administered questionnaire was used to assess participants’ sociodemographic, usual practices, attitudes, and knowledge toward packaged snacks. Factors associated with maternal practices related to packaged snack selection were assessed through the chi-square test at the p<0.05 significance level. The response rate was 99.3% (N = 447). Children were commonly provided with biscuits (94.4%) and flavoured milk (44.7%) daily (66.4%) at home (93.5%). The majority of mothers reported poor practices in selecting packaged snacks (88.8%), but good knowledge (62.9%) and favorable attitudes (93.5%) toward packaged snacks. The majority (75.5%) were aware that snacks are important for overcoming the hunger gap among children. Childs’ preference (77.6%) was the leading influencing factor while, the nutritional value of the packaged snacks minimally influenced the maternal (2.7%) choice. Only 49.9% mothers knew that packaged fruits could be consumed as snacks. Maternal Sinhalese ethnicity (p<0.001), secondary or higher education (p<0.001), having one child (p = 0.003), residing in a rural or urban area (p = 0.011) and having favourable attitudes (p = 0.002) were significantly associated with poor maternal practices in packaged snack selection. Although mothers’ knowledge toward packaged snacks were good, their practices in selecting packaged snacks were poor. Maternal ethnicity, educational level, number of children, area of residence and attitudes were significantly associated with mothers’ selection of packaged snacks. The results of the study highlighted the need to plan, develop and implement focused health promotion programmes to empower mothers to select healthier packaged snack options for their 6- to 10-year-old children.
Environics Corporate Social Responsibility Monitor 2002 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 25 countries on six continents at varying stages of development. Research was carried out by respected social research institutes in each country between October and December 2001.
The Millennium Poll on Corporate Social Responsibility 1999 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 23 countries on six continents at varying stages of development.
The Catholic Church in Australia has changed dramatically in the last fifty years. The Catholics in Australia 2022 survey project aimed to map the impact of some of these changes on Australian Catholics' ways of believing, behaving, and belonging, to see what this might reveal about the future of the Church in Australia. The project was informed by the work of Ben Clements and Stephen Bullivant, who mapped a more general UK Catholic cohort using a similar survey (Clements & Bullivant, 2022). The Catholics in Britain 2019 survey was adapted for the Australian study and collected mostly quantitative data with a final open-text question for optional comments. The project was approved by the University of Notre Dame Human Research Ethics Committee (HREC 2022-119S).