Analysis
Filter results by
Search HelpKeyword(s)
Subject
- Agriculture and food (7)
- Business and consumer services and culture (1)
- Business performance and ownership (14)
- Children and youth (19)
- Construction (1)
- Crime and justice (17)
- Digital economy and society (2)
- Economic accounts (23)
- Education, training and learning (13)
- Energy (1)
- Environment (7)
- Families, households and marital status (11)
- Government (1)
- Health (54)
- Housing (1)
- Immigration and ethnocultural diversity (9)
- Income, pensions, spending and wealth (10)
- Indigenous peoples (6)
- International trade (6)
- Labour (30)
- Languages (11)
- Manufacturing (4)
- Older adults and population aging (16)
- Population and demography (24)
- Prices and price indexes (3)
- Retail and wholesale (1)
- Science and technology (4)
- Society and community (10)
- Statistical methods (28)
- Transportation (4)
- Travel and tourism (2)
Author(s)
Survey or statistical program
- Census of Population (28)
- Canadian Health Measures Survey (17)
- Canadian Community Health Survey - Annual Component (16)
- Labour Force Survey (9)
- Uniform Crime Reporting Survey (6)
- Survey of Labour and Income Dynamics (4)
- General Social Survey - Giving, Volunteering and Participating (4)
- Survey on the Vitality of Official-Language Minorities (4)
- Survey of Consumer Finances (3)
- General Social Survey - Victimization (3)
- Canada's Balance of International Payments (2)
- Canada's International Transactions in Services (2)
- Canada's International Investment Position (2)
- Survey of Financial Security (2)
- Vital Statistics - Death Database (2)
- Corrections Key Indicator Report for Adults and Youth (2)
- Homicide Survey (2)
- Scientific and Technological Activities of Provincial Governments (2)
- Programme for International Student Assessment (2)
- Aboriginal Children's Survey (2)
- Canadian Community Health Survey - Healthy Aging (2)
- Canadian Composite Leading Indicator (1)
- Waste Management Industry Survey: Government Sector (1)
- National Balance Sheet Accounts (1)
- Biennial Waste Management Survey (1)
- Workplace and Employee Survey (1)
- Trucking Commodity Origin and Destination Survey (1)
- Quarterly Trucking Survey (1)
- Coastwise Shipping Survey (1)
- Marine International Freight Origin and Destination Survey (1)
- Annual Survey of Small For-Hire Carriers of Freight and Owner-Operators (1)
- National Apprenticeship Survey (1)
- Canadian Cancer Registry (1)
- Adult Correctional Services (1)
- Youth Court Survey (1)
- Integrated Criminal Court Survey (1)
- Youth Custody and Community Services (1)
- Survey of Maintenance Enforcement Programs (1)
- Survey of Household Spending (1)
- Quarterly Demographic Estimates (1)
- Estimates of Total Population for Canada, the Provinces and the Territories (1)
- Education Survey (1)
- Households and the Environment Survey (1)
- Annual Survey of Research and Development in Canadian Industry (1)
- Research and Development of Canadian Private Non-Profit Organizations (1)
- Scientific Activities of Provincial Research Organizations, Activities in Natural Sciences and Engineering (1)
- Provincial Government Activities in the Natural Sciences (1)
- Federal Science Expenditures and Personnel, Activities in the Social Sciences and Natural Sciences (1)
- Programme for the International Assessment of Adult Competencies (1)
- Employment Insurance Coverage Survey (1)
- Time Use Survey (1)
- Survey of the Couriers and Local Messengers Industry (1)
- National Graduates Survey (1)
- Victim Services Survey (1)
- Civil Court Survey (1)
- Higher Education Research and Development Estimates (1)
- Canadian Coroner and Medical Examiner Database (1)
- Access and Support to Education and Training Survey (1)
- Canadian Financial Capability Survey (1)
- Survey of Industrial Processes (1)
- Survey of Young Canadians (1)
- Longitudinal Employment Analysis Program (1)
Results
All (215)
All (215) (0 to 10 of 215 results)
- Journals and periodicals: 11-402-XGeography: CanadaDescription:
Presented in almanac style, the 2012 Canada Year Book contains more than 500 pages of tables, charts and succinct analytical articles on every major area of Statistics Canada's expertise. The Canada Year Book is the premier reference on the social and economic life of Canada and its citizens.
Release date: 2012-12-24 - 2. Survey Quality ArchivedArticles and reports: 12-001-X201200211751Description:
Survey quality is a multi-faceted concept that originates from two different development paths. One path is the total survey error paradigm that rests on four pillars providing principles that guide survey design, survey implementation, survey evaluation, and survey data analysis. We should design surveys so that the mean squared error of an estimate is minimized given budget and other constraints. It is important to take all known error sources into account, to monitor major error sources during implementation, to periodically evaluate major error sources and combinations of these sources after the survey is completed, and to study the effects of errors on the survey analysis. In this context survey quality can be measured by the mean squared error and controlled by observations made during implementation and improved by evaluation studies. The paradigm has both strengths and weaknesses. One strength is that research can be defined by error sources and one weakness is that most total survey error assessments are incomplete in the sense that it is not possible to include the effects of all the error sources. The second path is influenced by ideas from the quality management sciences. These sciences concern business excellence in providing products and services with a focus on customers and competition from other providers. These ideas have had a great influence on many statistical organizations. One effect is the acceptance among data providers that product quality cannot be achieved without a sufficient underlying process quality and process quality cannot be achieved without a good organizational quality. These levels can be controlled and evaluated by service level agreements, customer surveys, paradata analysis using statistical process control, and organizational assessment using business excellence models or other sets of criteria. All levels can be improved by conducting improvement projects chosen by means of priority functions. The ultimate goal of improvement projects is that the processes involved should gradually approach a state where they are error-free. Of course, this might be an unattainable goal, albeit one to strive for. It is not realistic to hope for continuous measurements of the total survey error using the mean squared error. Instead one can hope that continuous quality improvement using management science ideas and statistical methods can minimize biases and other survey process problems so that the variance becomes an approximation of the mean squared error. If that can be achieved we have made the two development paths approximately coincide.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211752Description:
Coca is a native bush from the Amazon rainforest from which cocaine, an illegal alkaloid, is extracted. Asking farmers about the extent of their coca cultivation areas is considered a sensitive question in remote coca growing regions in Peru. As a consequence, farmers tend not to participate in surveys, do not respond to the sensitive question(s), or underreport their individual coca cultivation areas. There is a political and policy concern in accurately and reliably measuring coca growing areas, therefore survey methodologists need to determine how to encourage response and truthful reporting of sensitive questions related to coca growing. Specific survey strategies applied in our case study included establishment of trust with farmers, confidentiality assurance, matching interviewer-respondent characteristics, changing the format of the sensitive question(s), and non enforcement of absolute isolation of respondents during the survey. The survey results were validated using satellite data. They suggest that farmers tend to underreport their coca areas to 35 to 40% of their true extent.
Release date: 2012-12-19 - 4. Imputation for nonmonotone nonresponse in the survey of industrial research and development ArchivedArticles and reports: 12-001-X201200211753Description:
Nonresponse in longitudinal studies often occurs in a nonmonotone pattern. In the Survey of Industrial Research and Development (SIRD), it is reasonable to assume that the nonresponse mechanism is past-value-dependent in the sense that the response propensity of a study variable at time point t depends on response status and observed or missing values of the same variable at time points prior to t. Since this nonresponse is nonignorable, the parametric likelihood approach is sensitive to the specification of parametric models on both the joint distribution of variables at different time points and the nonresponse mechanism. The nonmonotone nonresponse also limits the application of inverse propensity weighting methods. By discarding all observed data from a subject after its first missing value, one can create a dataset with a monotone ignorable nonresponse and then apply established methods for ignorable nonresponse. However, discarding observed data is not desirable and it may result in inefficient estimators when many observed data are discarded. We propose to impute nonrespondents through regression under imputation models carefully created under the past-value-dependent nonresponse mechanism. This method does not require any parametric model on the joint distribution of the variables across time points or the nonresponse mechanism. Performance of the estimated means based on the proposed imputation method is investigated through some simulation studies and empirical analysis of the SIRD data.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211754Description:
The propensity-scoring-adjustment approach is commonly used to handle selection bias in survey sampling applications, including unit nonresponse and undercoverage. The propensity score is computed using auxiliary variables observed throughout the sample. We discuss some asymptotic properties of propensity-score-adjusted estimators and derive optimal estimators based on a regression model for the finite population. An optimal propensity-score-adjusted estimator can be implemented using an augmented propensity model. Variance estimation is discussed and the results from two simulation studies are presented.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211755Description:
Non-response in longitudinal studies is addressed by assessing the accuracy of response propensity models constructed to discriminate between and predict different types of non-response. Particular attention is paid to summary measures derived from receiver operating characteristic (ROC) curves and logit rank plots. The ideas are applied to data from the UK Millennium Cohort Study. The results suggest that the ability to discriminate between and predict non-respondents is not high. Weights generated from the response propensity models lead to only small adjustments in employment transitions. Conclusions are drawn in terms of the potential of interventions to prevent non-response.
Release date: 2012-12-19 - 7. Confidence interval estimation of small area parameters shrinking both means and variances ArchivedArticles and reports: 12-001-X201200211756Description:
We propose a new approach to small area estimation based on joint modelling of means and variances. The proposed model and methodology not only improve small area estimators but also yield "smoothed" estimators of the true sampling variances. Maximum likelihood estimation of model parameters is carried out using EM algorithm due to the non-standard form of the likelihood function. Confidence intervals of small area parameters are derived using a more general decision theory approach, unlike the traditional way based on minimizing the squared error loss. Numerical properties of the proposed method are investigated via simulation studies and compared with other competitive methods in the literature. Theoretical justification for the effective performance of the resulting estimators and confidence intervals is also provided.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211757Description:
Collinearities among explanatory variables in linear regression models affect estimates from survey data just as they do in non-survey data. Undesirable effects are unnecessarily inflated standard errors, spuriously low or high t-statistics, and parameter estimates with illogical signs. The available collinearity diagnostics are not generally appropriate for survey data because the variance estimators they incorporate do not properly account for stratification, clustering, and survey weights. In this article, we derive condition indexes and variance decompositions to diagnose collinearity problems in complex survey data. The adapted diagnostics are illustrated with data based on a survey of health characteristics.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211758Description:
This paper develops two Bayesian methods for inference about finite population quantiles of continuous survey variables from unequal probability sampling. The first method estimates cumulative distribution functions of the continuous survey variable by fitting a number of probit penalized spline regression models on the inclusion probabilities. The finite population quantiles are then obtained by inverting the estimated distribution function. This method is quite computationally demanding. The second method predicts non-sampled values by assuming a smoothly-varying relationship between the continuous survey variable and the probability of inclusion, by modeling both the mean function and the variance function using splines. The two Bayesian spline-model-based estimators yield a desirable balance between robustness and efficiency. Simulation studies show that both methods yield smaller root mean squared errors than the sample-weighted estimator and the ratio and difference estimators described by Rao, Kovar, and Mantel (RKM 1990), and are more robust to model misspecification than the regression through the origin model-based estimator described in Chambers and Dunstan (1986). When the sample size is small, the 95% credible intervals of the two new methods have closer to nominal confidence coverage than the sample-weighted estimator.
Release date: 2012-12-19 - 10. Multiple imputation with census data ArchivedArticles and reports: 12-001-X201200211759Description:
A benefit of multiple imputation is that it allows users to make valid inferences using standard methods with simple combining rules. Existing combining rules for multivariate hypothesis tests fail when the sampling error is zero. This paper proposes modified tests for use with finite population analyses of multiply imputed census data for the applications of disclosure limitation and missing data and evaluates their frequentist properties through simulation.
Release date: 2012-12-19
- Previous Go to previous page of All results
- 1 (current) Go to page 1 of All results
- 2 Go to page 2 of All results
- 3 Go to page 3 of All results
- 4 Go to page 4 of All results
- 5 Go to page 5 of All results
- 6 Go to page 6 of All results
- 7 Go to page 7 of All results
- ...
- 22 Go to page 22 of All results
- Next Go to next page of All results
Stats in brief (55)
Stats in brief (55) (30 to 40 of 55 results)
- 31. Arthritis, 2011 ArchivedStats in brief: 82-625-X201200111657Geography: CanadaDescription:
This is a Health fact sheet about Arthritis among Canadians. The data used are based on a question from the Canadian Community Health Survey that asked respondents if they had arthritis, excluding fibromyalgia.
Release date: 2012-06-19 - 32. Asthma, 2011 ArchivedStats in brief: 82-625-X201200111658Geography: CanadaDescription:
This is a Health fact sheet about asthma among Canadians. The results shown are based on data from the Canadian Community Health Survey.
Release date: 2012-06-19 - 33. Diabetes, 2011 ArchivedStats in brief: 82-625-X201200111659Geography: CanadaDescription:
This is a Health fact sheet about diabetes among Canadians. The results shown are based on data from the Canadian Community Health Survey.
Release date: 2012-06-19 - 34. Exposure to second-hand smoke at home, 2011 ArchivedStats in brief: 82-625-X201200111660Geography: CanadaDescription:
This is a Health fact sheet about exposure to second-hand smoke at home among Canadians. The results shown are based on data from the Canadian Community Health Survey.
Release date: 2012-06-19 - 35. Fruit and vegetable consumption, 2011 ArchivedStats in brief: 82-625-X201200111661Geography: CanadaDescription:
This is a Health fact sheet about fruit and vegetable consumption among Canadians. The data are based on a Canadian Community Health Survey question that measured the number of times respondents reported that they consumed fruit and vegetables, rather than the actual quantity consumed.
Release date: 2012-06-19 - 36. Heavy drinking, 2011 ArchivedStats in brief: 82-625-X201200111662Geography: CanadaDescription:
This a Health fact sheet about heavy drinking among Canadians. The results shown are based on data from the Canadian Community Health Survey.
Release date: 2012-06-19 - 37. High blood pressure, 2011 ArchivedStats in brief: 82-625-X201200111663Geography: CanadaDescription:
This is a Health fact sheet about high blood pressure among Canadians. The results shown are based on data from the Canadian Community Health Survey.
Release date: 2012-06-19 - 38. Overweight and obese adults (self-reported), 2011 ArchivedStats in brief: 82-625-X201200111664Geography: CanadaDescription:
This is a Health fact sheet about Canadian adults who are overweight or obese. The results shown are based on data from the Canadian Community Health Survey.
Release date: 2012-06-19 - 39. Perceived health, 2011 ArchivedStats in brief: 82-625-X201200111665Geography: CanadaDescription:
This is a Health fact about self-perceived health among Canadians. The Canadian Community Health Survey asked questions about how Canadians felt about their own health status. Perceived health refers to a person's health in general - not only the absence of disease or injury, but also physical, mental and social well being.
Release date: 2012-06-19 - 40. Perceived life stress, 2011 ArchivedStats in brief: 82-625-X201200111666Geography: CanadaDescription:
This is a health fact sheet about perceived life stress among Canadians. The results shown are based on data from the Canadian Community Health Survey.
Release date: 2012-06-19
- Previous Go to previous page of Stats in brief results
- 1 Go to page 1 of Stats in brief results
- 2 Go to page 2 of Stats in brief results
- 3 Go to page 3 of Stats in brief results
- 4 (current) Go to page 4 of Stats in brief results
- 5 Go to page 5 of Stats in brief results
- 6 Go to page 6 of Stats in brief results
- Next Go to next page of Stats in brief results
Articles and reports (147)
Articles and reports (147) (0 to 10 of 147 results)
- 1. Survey Quality ArchivedArticles and reports: 12-001-X201200211751Description:
Survey quality is a multi-faceted concept that originates from two different development paths. One path is the total survey error paradigm that rests on four pillars providing principles that guide survey design, survey implementation, survey evaluation, and survey data analysis. We should design surveys so that the mean squared error of an estimate is minimized given budget and other constraints. It is important to take all known error sources into account, to monitor major error sources during implementation, to periodically evaluate major error sources and combinations of these sources after the survey is completed, and to study the effects of errors on the survey analysis. In this context survey quality can be measured by the mean squared error and controlled by observations made during implementation and improved by evaluation studies. The paradigm has both strengths and weaknesses. One strength is that research can be defined by error sources and one weakness is that most total survey error assessments are incomplete in the sense that it is not possible to include the effects of all the error sources. The second path is influenced by ideas from the quality management sciences. These sciences concern business excellence in providing products and services with a focus on customers and competition from other providers. These ideas have had a great influence on many statistical organizations. One effect is the acceptance among data providers that product quality cannot be achieved without a sufficient underlying process quality and process quality cannot be achieved without a good organizational quality. These levels can be controlled and evaluated by service level agreements, customer surveys, paradata analysis using statistical process control, and organizational assessment using business excellence models or other sets of criteria. All levels can be improved by conducting improvement projects chosen by means of priority functions. The ultimate goal of improvement projects is that the processes involved should gradually approach a state where they are error-free. Of course, this might be an unattainable goal, albeit one to strive for. It is not realistic to hope for continuous measurements of the total survey error using the mean squared error. Instead one can hope that continuous quality improvement using management science ideas and statistical methods can minimize biases and other survey process problems so that the variance becomes an approximation of the mean squared error. If that can be achieved we have made the two development paths approximately coincide.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211752Description:
Coca is a native bush from the Amazon rainforest from which cocaine, an illegal alkaloid, is extracted. Asking farmers about the extent of their coca cultivation areas is considered a sensitive question in remote coca growing regions in Peru. As a consequence, farmers tend not to participate in surveys, do not respond to the sensitive question(s), or underreport their individual coca cultivation areas. There is a political and policy concern in accurately and reliably measuring coca growing areas, therefore survey methodologists need to determine how to encourage response and truthful reporting of sensitive questions related to coca growing. Specific survey strategies applied in our case study included establishment of trust with farmers, confidentiality assurance, matching interviewer-respondent characteristics, changing the format of the sensitive question(s), and non enforcement of absolute isolation of respondents during the survey. The survey results were validated using satellite data. They suggest that farmers tend to underreport their coca areas to 35 to 40% of their true extent.
Release date: 2012-12-19 - 3. Imputation for nonmonotone nonresponse in the survey of industrial research and development ArchivedArticles and reports: 12-001-X201200211753Description:
Nonresponse in longitudinal studies often occurs in a nonmonotone pattern. In the Survey of Industrial Research and Development (SIRD), it is reasonable to assume that the nonresponse mechanism is past-value-dependent in the sense that the response propensity of a study variable at time point t depends on response status and observed or missing values of the same variable at time points prior to t. Since this nonresponse is nonignorable, the parametric likelihood approach is sensitive to the specification of parametric models on both the joint distribution of variables at different time points and the nonresponse mechanism. The nonmonotone nonresponse also limits the application of inverse propensity weighting methods. By discarding all observed data from a subject after its first missing value, one can create a dataset with a monotone ignorable nonresponse and then apply established methods for ignorable nonresponse. However, discarding observed data is not desirable and it may result in inefficient estimators when many observed data are discarded. We propose to impute nonrespondents through regression under imputation models carefully created under the past-value-dependent nonresponse mechanism. This method does not require any parametric model on the joint distribution of the variables across time points or the nonresponse mechanism. Performance of the estimated means based on the proposed imputation method is investigated through some simulation studies and empirical analysis of the SIRD data.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211754Description:
The propensity-scoring-adjustment approach is commonly used to handle selection bias in survey sampling applications, including unit nonresponse and undercoverage. The propensity score is computed using auxiliary variables observed throughout the sample. We discuss some asymptotic properties of propensity-score-adjusted estimators and derive optimal estimators based on a regression model for the finite population. An optimal propensity-score-adjusted estimator can be implemented using an augmented propensity model. Variance estimation is discussed and the results from two simulation studies are presented.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211755Description:
Non-response in longitudinal studies is addressed by assessing the accuracy of response propensity models constructed to discriminate between and predict different types of non-response. Particular attention is paid to summary measures derived from receiver operating characteristic (ROC) curves and logit rank plots. The ideas are applied to data from the UK Millennium Cohort Study. The results suggest that the ability to discriminate between and predict non-respondents is not high. Weights generated from the response propensity models lead to only small adjustments in employment transitions. Conclusions are drawn in terms of the potential of interventions to prevent non-response.
Release date: 2012-12-19 - 6. Confidence interval estimation of small area parameters shrinking both means and variances ArchivedArticles and reports: 12-001-X201200211756Description:
We propose a new approach to small area estimation based on joint modelling of means and variances. The proposed model and methodology not only improve small area estimators but also yield "smoothed" estimators of the true sampling variances. Maximum likelihood estimation of model parameters is carried out using EM algorithm due to the non-standard form of the likelihood function. Confidence intervals of small area parameters are derived using a more general decision theory approach, unlike the traditional way based on minimizing the squared error loss. Numerical properties of the proposed method are investigated via simulation studies and compared with other competitive methods in the literature. Theoretical justification for the effective performance of the resulting estimators and confidence intervals is also provided.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211757Description:
Collinearities among explanatory variables in linear regression models affect estimates from survey data just as they do in non-survey data. Undesirable effects are unnecessarily inflated standard errors, spuriously low or high t-statistics, and parameter estimates with illogical signs. The available collinearity diagnostics are not generally appropriate for survey data because the variance estimators they incorporate do not properly account for stratification, clustering, and survey weights. In this article, we derive condition indexes and variance decompositions to diagnose collinearity problems in complex survey data. The adapted diagnostics are illustrated with data based on a survey of health characteristics.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211758Description:
This paper develops two Bayesian methods for inference about finite population quantiles of continuous survey variables from unequal probability sampling. The first method estimates cumulative distribution functions of the continuous survey variable by fitting a number of probit penalized spline regression models on the inclusion probabilities. The finite population quantiles are then obtained by inverting the estimated distribution function. This method is quite computationally demanding. The second method predicts non-sampled values by assuming a smoothly-varying relationship between the continuous survey variable and the probability of inclusion, by modeling both the mean function and the variance function using splines. The two Bayesian spline-model-based estimators yield a desirable balance between robustness and efficiency. Simulation studies show that both methods yield smaller root mean squared errors than the sample-weighted estimator and the ratio and difference estimators described by Rao, Kovar, and Mantel (RKM 1990), and are more robust to model misspecification than the regression through the origin model-based estimator described in Chambers and Dunstan (1986). When the sample size is small, the 95% credible intervals of the two new methods have closer to nominal confidence coverage than the sample-weighted estimator.
Release date: 2012-12-19 - 9. Multiple imputation with census data ArchivedArticles and reports: 12-001-X201200211759Description:
A benefit of multiple imputation is that it allows users to make valid inferences using standard methods with simple combining rules. Existing combining rules for multivariate hypothesis tests fail when the sampling error is zero. This paper proposes modified tests for use with finite population analyses of multiply imputed census data for the applications of disclosure limitation and missing data and evaluates their frequentist properties through simulation.
Release date: 2012-12-19 - 10. Seniors' use of and unmet needs for home care, 2009 ArchivedArticles and reports: 82-003-X201200411760Geography: CanadaDescription:
This study uses data from the 2009 Canadian Community Health Survey-Healthy Aging to provide a profile of community-dwelling seniors receiving home care and describe the types of care they receive from formal and informal sources. Seniors' unmet needs for professional home care are also examined.
Release date: 2012-12-19
- Previous Go to previous page of Articles and reports results
- 1 (current) Go to page 1 of Articles and reports results
- 2 Go to page 2 of Articles and reports results
- 3 Go to page 3 of Articles and reports results
- 4 Go to page 4 of Articles and reports results
- 5 Go to page 5 of Articles and reports results
- 6 Go to page 6 of Articles and reports results
- 7 Go to page 7 of Articles and reports results
- ...
- 15 Go to page 15 of Articles and reports results
- Next Go to next page of Articles and reports results
Journals and periodicals (13)
Journals and periodicals (13) (0 to 10 of 13 results)
- Journals and periodicals: 11-402-XGeography: CanadaDescription:
Presented in almanac style, the 2012 Canada Year Book contains more than 500 pages of tables, charts and succinct analytical articles on every major area of Statistics Canada's expertise. The Canada Year Book is the premier reference on the social and economic life of Canada and its citizens.
Release date: 2012-12-24 - Journals and periodicals: 89-651-XDescription:
This article presents employment and unemployment rates, and some information regarding salaries and industrial sectors of employees, for official-language minorities. These data are based on the Labour Force Survey and enable comparisons between official-language minority and majority according to their situation in the labour market for provinces or groups of provinces.
Release date: 2012-11-01 - Journals and periodicals: 88-001-XDescription:
This series, which consists of about six issues per year, presents a variety of science and technology statistics. Each issue concerns a different topic, for example: research and development expenditures and personnel in business enterprises, science and technology expenditures and personnel in the federal government or provincial governments; and estimates of higher education expenditures on research and development.
Release date: 2012-09-20 - Journals and periodicals: 67-001-XDescription:
This publication presents Canada's transactions with non-residents on a quarterly basis. These transactions are grouped under two main accounts: the current account which includes goods, services, investment income and current transfers; and the capital and financial account which includes information on a country's investing and financing activities. The transactions are further broken down by major geographical region: United States, United Kingdom, other countries of the European Union, Japan, other countries of the Organization for Economic Co-operation and Development, and all other countries. The data are presented quarterly and annually for the six most recent years.
Each publication includes several pages of data analysis accompanied by graphics, definitions, CANSIM data bank numbers, data quality measures and a list of occasional articles and research papers. The first quarter issue includes revisions to quarterly and annual data for the most recent four years. Statistics are derived from surveys, administrative data and other sources.
Release date: 2012-09-04 - Journals and periodicals: 75-001-XGeography: CanadaDescription: This publication brings together and analyzes a wide range of labour and income data. Topics include youth in the labour market, pensions and retirement, work arrangements, education and training, and trends in family income. One section highlights new products, surveys, research projects and conferences. Another section uses charts and text to describe a variety of subjects related to labour and income. Each winter print issue contains an index of all published articles.
To find the latest updates on labour market and household issues such as gambling, minimum wage, retirement and unionization, please visit: Topics of interest on labour and income.
Release date: 2012-08-22 - Journals and periodicals: 11-008-XGeography: CanadaDescription:
This publication discusses the social, economic, and demographic changes affecting the lives of Canadians.
Free downloadable PDF and HTML files: Published every six weeks Printed issue: Published every six months (twice per year)
Release date: 2012-07-30 - Journals and periodicals: 50-002-XDescription:
This service bulletin presents summary information, timely financial and operating statistics and analysis (time series, charts, special tabulations, etc.) covering bus, urban transit, courier and local messengers industry, taxi and limousine services industry and marine transportation.
Release date: 2012-07-04 - Journals and periodicals: 67-202-XGeography: CanadaDescription:
This publication presents Canada's asset and liability position with non-residents, with a detailed breakdown by claims (direct investment, portfolio, etc.) by industry and by country or organization (United States, United Kingdom, European Union, Japan, Organisation for Economic Co-operation and Development and all other countries). The data also include the foreign holdings of Canada's public debt. In addition, data are provided on Canadian portfolio investments abroad and on the investment income arising from Canada's external assets and liabilities. This publication includes several pages of data analysis accompanied by graphics, definitions and data quality measures. Statistics are derived from surveys, administrative data and other sources.
Release date: 2012-06-20 - Journals and periodicals: 11-010-XGeography: CanadaDescription:
This monthly periodical is Statistics Canada's flagship publication for economic statistics. Each issue contains a monthly summary of the economy, major economic events and a feature article. A statistical summary contains a wide range of tables and graphs on the principal economic indicators for Canada, the provinces and the major industrial nations. A historical listing of this same data is contained in the Canadian economic observer: historical supplement (Catalogue no. 11-210-XPB and XIB).
Release date: 2012-06-15 - Journals and periodicals: 81-004-XGeography: CanadaDescription:
This free online periodical provides summary information on issues and gives access to education indicators and Canadian education analysis. It presents information, statistics and analysis in a non-technical, highly readable format for teachers, students, parents, education associations, researchers and policy makers. It is published bimonthly by Statistics Canada's Centre for Education Statistics.
Release date: 2012-05-01
- Date modified: