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All (405)

All (405) (60 to 70 of 405 results)

61. Body composition of Canadian adults, 2009 to 2011 Archived
Stats in brief: 82-625-X201200111708
Geography: Canada
Description:
This is a Health fact sheet about the body mass index and waist circumference of Canadian adults. The results shown are based on data from the Canadian Health Measures Survey.
Release date: 2012-10-29
62. Chronic obstructive pulmonary disease in Canadians, 2009 to 2011 Archived
Stats in brief: 82-625-X201200111709
Geography: Canada
Description:
This is a Health fact sheet about the prevalence and severity of chronic obstructive pulmonary disease in Canadians aged 35 to 79. The results shown are based on data from the Canadian Health Measures Survey.
Release date: 2012-10-29
63. Muscular strength of Canadians, 2009 to 2011 Archived
Stats in brief: 82-625-X201200111710
Geography: Canada
Description:
This is a Health fact sheet about the muscular strength of Canadians, as measured by grip strength. Findings are presented by age and sex. The results shown are based on data from the Canadian Health Measures Survey.
Release date: 2012-10-29
64. Aerobic fitness of Canadians, 2009 to 2011 Archived
Stats in brief: 82-625-X201200111711
Geography: Canada
Description:
This is a Health fact sheet about aerobic fitness which measures endurance or the ability to sustain physical activity. Results are presented for Canadians aged 15 to 69. The data comes from the Canadian Health Measures Survey.
Release date: 2012-10-29
65. Body mass index of Canadian children and youth, 2009 to 2011 Archived
Stats in brief: 82-625-X201200111712
Geography: Canada
Description:
This is a Health fact sheet about the body mass index of Canadian children and youth aged 5 to 17. The results shown are based on data from the Canadian Health Measures Survey.
Release date: 2012-10-29
66. Blood pressure of Canadian children and youth, 2009 to 2011 Archived
Stats in brief: 82-625-X201200111713
Geography: Canada
Description:
This is a Health fact sheet about the blood pressure of Canadian children and youth as well as the association between blood pressure and body mass index. The results shown are based on data from the Canadian Health Measures Survey.
Release date: 2012-10-29
67. Blood pressure of Canadian adults, 2009 to 2011 Archived
Stats in brief: 82-625-X201200111714
Geography: Canada
Description:
This is a Health fact sheet about measured blood pressure and hypertension in Canadian adults. The results shown are based on data from the Canadian Health Measures Survey.
Release date: 2012-10-29
68. Analyzing Census microdata in an RDC: What weight to use? Archived
Articles and reports: 12-002-X201200111642
Description:
It is generally recommended that weighted estimation approaches be used when analyzing data from a long-form census microdata file. Since such data files are now available in the RDC's, there is a need to provide researchers there with more information about doing weighted estimation with these files. The purpose of this paper is to provide some of this information - in particular, how the weight variables were derived for the census microdata files and what weight should be used for different units of analysis. For the 1996, 2001 and 2006 censuses the same weight variable is appropriate regardless of whether people, families or households are being studied. For the 1991 census, recommendations are more complex: a different weight variable is required for households than for people and families, and additional restrictions apply to obtain the correct weight value for families.
Release date: 2012-10-25
69. Canada's Net Foreign Debt at Market Value Archived
Articles and reports: 11-626-X2012018
Geography: Canada
Description:
This article in the Economic Insights series highlights the new set of estimates for Canadian direct investment abroad and Foreign direct investment in Canada that present Canada's international investment position on a market value basis. It is one of a series of Economic Insights articles designed to emphasize key aspects of the new national accounts data and their utility for analyses of the Canadian economy. Several of these articles highlight changes to the organization of the national accounts data or draw attention to improvements in measurement.
Release date: 2012-10-25
70. French and the francophonie in Canada Archived
Stats in brief: 98-314-X201100311723
Geography: Canada
Description:
These short analytical articles provide complementary analysis to the 2011 Census analytical document. These articles allow for a more in-depth look to relevant topics related to the Canadian population. The three articles linked to the language release are entitled 'French and the francophonie,' ' Immigrant languages in Canada,' and ' Aboriginal languages in Canada'
Release date: 2012-10-24

Data (171)

Data (171) (150 to 160 of 171 results)

151. Film, Television and Video Post-production Archived
Table: 87-009-X
Description:
This product provides an overview of trends in the film, television and video post-production industry. It provides users with information to monitor growth of the industry, measure performance, monitor programs and review policies. The tables focus on financial and operating data.
Release date: 2012-03-16
152. Statistics on Income of Farm Operators Archived
Table: 21-206-X
Description:
This publication provides information on sources and levels of farm and off-farm income for operators by province, type of farm (based on the North American Industry Classification System) and revenue class.
Distributional tables on income of operators are also presented. This publication also includes data highlights and information on concepts, methods and data quality. A relevant article on the story emanating from the data is also featured.
Data from Canada Revenue Agency's income tax returns of farmers operating unincorporated and incorporated farms provide the statistical basis for this publication.
Release date: 2012-03-15
153. Dairy Statistics Archived
Table: 23-014-X
Description:
This publication contains data on the dairy industry, including volume of milk and cream sold off farm, sales of fluid milk and cream; production of selected products and by-products; stocks of various dairy products; and imports and exports of milk and dairy products.
Release date: 2012-02-28
154. Personal Services Archived
Table: 63-240-X
Description:
This product provides an overview of trends in the personal services industry. It provides users with information required for making corporate decisions, monitoring programs and reviewing policies. The tables focus on financial and operating data.
Release date: 2012-02-28
155. Sheep Statistics Archived
Table: 23-011-X
Description:
This publication contains data on the sheep industry, that is inventory on farms, supply-disposition, farm production, inventory by farm type and prices.
Release date: 2012-02-20
156. Cattle Statistics Archived
Table: 23-012-X
Description:
This publication contains data on the cattle industry: inventory on farms, supply and disposition, farm production, inventory by farm type and prices.
Release date: 2012-02-20
157. Fruit and Vegetable Production Archived
Table: 22-003-X
Description:
This semi-annual publication provides an overview of the Canadian fruit and vegetable production sector. Annual estimates of area, commercial production and value of major tree fruit, berries and grapes are available. Annual estimates of area, production and value of the major commercially grown vegetables are also published. For the mushroom growing industry, estimates of area, production, sales, investments and labour costs and employment are available once yearly.
The first issue for the crop year will appear in June and will present the cultivated areas from the Fruit and Vegetable Area Survey conducted in May. The second will appear in February and include area, production, and value data for the crop year.
Release date: 2012-02-17
158. Visual Census
Table: 98-315-X
Description:
This product presents time series information from various censuses of population. The time series is presented in both graphical and tabular format with the capability to download the information in various delimited formats. The geographic levels presented include Canada, provinces and territories, and census metropolitan areas. All data are according to the 2011 geographic boundaries of these areas and, where permitted, data is presented prior to 1996.
Data are presented according to the major 2011 Census release dates: February 8, 2012 - Population and dwelling counts; May 29, 2012 - Age and sex; September 19, 2012 - Families, households and marital status; Structural type of dwelling and collectives; October 24, 2012 - Language.
Release date: 2012-02-08
159. Census Data Navigator
Table: 98-317-X
Description:
This dynamic application allows the user to navigate through various levels of the standard geographic hierarchy and obtain population and dwelling counts from the 2011 Census. The levels of geography covered in the current product are provinces and territories, census divisions and census subdivisions.
Release date: 2012-02-08
160. Census Profile, 2011
Profile of a community or region: 98-316-X2011001
Geography: Federal electoral district, Census subdivision, Canada, Province or territory, Census division, Designated place, Forward sortation area, Economic region, Census metropolitan area, Census agglomeration, Census metropolitan area part, Census agglomeration part, Census tract, Population centre, Dissemination area
Description: This profile presents information from the 2011 Census of Population for various levels of geography, including provinces and territories, census metropolitan areas, communities, census tracts and health regions.
Release date: 2012-02-08

Analysis (215)

Analysis (215) (0 to 10 of 215 results)

1. Canada Year Book
Journals and periodicals: 11-402-X
Geography: Canada
Description:
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 Archived
Articles and reports: 12-001-X201200211751
Description:
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
3. Data collection: Experiences and lessons learned by asking sensitive questions in a remote coca growing region in Peru Archived
Articles and reports: 12-001-X201200211752
Description:
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 Archived
Articles and reports: 12-001-X201200211753
Description:
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
5. Some theory for propensity-score-adjustment estimators in survey sampling Archived
Articles and reports: 12-001-X201200211754
Description:
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
6. Assessing the accuracy of response propensity models in longitudinal studies Archived
Articles and reports: 12-001-X201200211755
Description:
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 Archived
Articles and reports: 12-001-X201200211756
Description:
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
8. Condition indexes and variance decompositions for diagnosing collinearity in linear model analysis of survey data Archived
Articles and reports: 12-001-X201200211757
Description:
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
9. Bayesian inference for finite population quantiles from unequal probability samples Archived
Articles and reports: 12-001-X201200211758
Description:
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 Archived
Articles and reports: 12-001-X201200211759
Description:
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

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Date modified:: 2024-11-14