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Description:

This product provides an overview of trends in the surveying and mapping 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.

Description:

This topic presents data on education, labour, place of work, commuting to work and language of work in Canada. The topic presents data on the paid work of the Canadian workforce, including detailed industry and occupation data, class of worker, and work activity during the reference year. Data on workers' place of work and journey to work are also included.

This topic also presents data on four main education concepts: completed education credentials, major field of study, location of study and attendance at school.

Together, these data provide information on education and the work activities of Canadians.

Analytical products

The analytical document provides analysis on the key findings in the data, and is complimented with the short articles found in NHS in Brief and the data in NHS Focus on Geography Series.

Data products

The NHS Profile is one data product that provides a statistical overview of user selected geographic areas based on several detailed variables and/or groups of variables. Other data products include data tables which represent a series of cross tabulations ranging in complexity and are available for various levels of geography.

Description: Governments and other stakeholders are increasingly interested in assessing the skills of their adult populations in order to monitor how well prepared they are for the challenges of the modern knowledge-based society. Adults are expected to use information in complex ways and to maintain and enhance their literacy skills to adapt to ever changing technologies. Literacy is important not only for personal development, but also for positive educational, social, and economic outcomes. Adult literacy, numeracy and problem-solving skills encompass a continuum of learning that enables individuals to achieve their goals, develop their knowledge and potential, and participate fully in their communities and society as a whole.

Canada has been participating in adult skills assessment surveys for several decades. The surveys are repeated every ten years, with the first in the series taking place in 1994. First there was the International Adult Literacy Survey (IALS), then the International Adult Literacy and Skills Survey (IALSS) in 2003 and the Programme for the International Assessment of Adult Competencies (PIAAC) cycles 1 and 2 in 2012 and 2022 respectively. Each of these surveys builds on the concepts of the previous surveys. Over the years, the framework has broadened the definition of literacy to adapt it to the information age, notably by including reading skills in digital environments.

Description:

Measures of subjective well-being are increasingly prominent in international policy discussions about how best to measure "societal progress" and the well-being of national populations. This has implications for national statistical offices, as calls have been made for them to include measures of subjective well-being in their household surveys (Organization for Economic Cooperation and Development 2013). Statistics Canada has included measures of subjective well-being - particularly life satisfaction - in its surveys for twenty-five years, although the wording of these questions and the response categories have evolved over time. Statistics Canada's General Social Survey (GSS) and Canadian Community Health Survey (CCHS) offer a valuable opportunity to examine the stability of life satisfaction responses and their correlates from year to year using a consistent analytical framework.

Description: This report details the methodology and results of the Farm Environmental Management Survey (FEMS).

The FEMS is conducted to gather information about farming practices on Canadian crop and livestock operations. The survey focuses on information related to manure storage and spreading, pesticide application, crop and nutrient management, grazing and the implementation of environmental farm plans.

Description:

It is routine practice for survey organizations to provide replication weights as part of survey data files. These replication weights are meant to produce valid and efficient variance estimates for a variety of estimators in a simple and systematic manner. Most existing methods for constructing replication weights, however, are only valid for specific sampling designs and typically require a very large number of replicates. In this paper we first show how to produce replication weights based on the method outlined in Fay (1984) such that the resulting replication variance estimator is algebraically equivalent to the fully efficient linearization variance estimator for any given sampling design. We then propose a novel weight-calibration method to simultaneously achieve efficiency and sparsity in the sense that a small number of sets of replication weights can produce valid and efficient replication variance estimators for key population parameters. Our proposed method can be used in conjunction with existing resampling techniques for large-scale complex surveys. Validity of the proposed methods and extensions to some balanced sampling designs are also discussed. Simulation results showed that our proposed variance estimators perform very well in tracking coverage probabilities of confidence intervals. Our proposed strategies will likely have impact on how public-use survey data files are produced and how these data sets are analyzed.

Description:

The National Household Survey in Brief (NHS in Brief) series documents complement the National Household Survey analytical documents by focusing on specific topics of interest.

Description:

This table presents a cross-tabulation of data using selected characteristics from the National Household Survey.

Description:

This table presents a cross-tabulation of data using selected characteristics from the National Household Survey.

Description:

This table presents a cross-tabulation of data using selected characteristics from the National Household Survey.

Description:

This microdata file on diskette contains records which relate to the activities of Canadians travelling in Canada; origin and destination; volumes; nights away from home; length of stay; type of transportation; purpose of trip; accommodation used; expenditures by categories; and demographic characteristics. Included are the complete Canada microdata file on person-trips, household trips, person-nights, person and reallocated expenditures.

Description:

The Adult Education and Training Survey (AETS) is Canada's most comprehensive source of data on individual participation in formal adult education and training. It is the only Canadian survey to collect detailed information about the skill development efforts of the entire adult Canadian population. The AETS provides information about the main subject of training activities, their provider, duration and the sources and types of support for training. Furthermore, the AETS allows for the examination of the socio-economic and demographic profiles of both training participants and non-participants. This survey also identifies barriers faced by individuals who wish to take some form of training but cannot. The AETS was administered three times during the 1990s, in 1992, 1994 and 1998, as a supplement to the Labour Force Survey (LFS).

The content of the AETS was revised to take into account recommendations coming from consultation exercises. As a result, more than half of the 2003 survey is made up of new questions and the target population has been modified.

The main objectives are:1) To measure the incidence and intensity of adults' participation in job-related formal training.2) To profile employer support to job-related formal training.3) To analyze the aspects of job-related training activities such as: training provider, expenses, financial support, motivations, outcomes and difficulties experienced while training.4) To identify the barriers preventing individuals from participating in the job-related formal training they want or need to take.5) To identify reasons explaining adults' lack of participation and of interest in job-related formal training.6) To relate adults' current participation patterns to their past involvement in and plans about future participation in job-related training.7) To measure the incidence and frequency of adults' participation in job-related informal training.8) To examine the interactions between participation in formal and informal job-related training.

The population covered by the AETS consists of Canadians 25 years of age and older. This is a change from the population previously targeted by the AETS, which consisted of Canadians aged 17 years of age and older. A primary consideration for this change was the practical difficulties in applying the definition of adult education to individuals in the 17 to 24 years of age group. By definition, adult education excludes students who are still involved in their first or initial stage of schooling. As previous AETS did not precisely identify students still in their initial stage of schooling, analyses using these data had to rely on an ad hoc definition of adult learners. According to this definition, individuals aged 17 to 24 who were not in one of the following situations were excluded from the analysis: full-time students subsidized by an employer and full-time students over 19 enrolled in elementary or secondary programs.

Description:

This survey provides household estimates of food expenditures and quantities. Throughout the year members of selected households were asked to record expenditures on food and beverages for a period of two weeks. Topics include: household characteristics, food purchased from stores, food purchased from restaurants, food purchased locally and on day trips, food purchased while on trips overnight or longer, type of store and type of restaurant.

Description:

This interactive data retrieval system allows users to retrieve their own customized tables on literacy profiles for more than 20 countries and for a wide range of combined intermediate variables covering several topics such as: adult education, community activities, demographics, educational experience, household information, labour force experience, language background, mathematics, parental information, reading at home or at work, self-reported skills, training and writing at home or at work.

The International Adult Literacy Survey (IALS) was a seven-country initiative conducted in the fall of 1994. Its goal: to create comparable literacy profiles across national, linguistic and cultural boundaries. The survey also offers the world's only source of comparative data on participation in adult education and training. The results, published in the report "Literacy, economy and society: Results of the first International Adult Literacy Survey" (Organisation for Economic Co-operation and Development (OECD) and Statistics Canada, 1995), demonstrated a strong plausible link between literacy and a country's economic potential. Since then, a second and a third round of data collection of IALS were conducted in an additional 16 countries in 1996 (See "Literacy skills for the knowledge society: Further results of the International Adult Literacy Survey" (OECD and Human Resources Development Canada, 1997)) and in 1998 (See "Literacy in the information age: Final report of the International Adult Literacy Survey" (OECD and Statistics Canada, 2000)). Several thematic reports and international comparative reports were published following these second and third waves of data collection. In total, IALS includes literacy data pertaining to 23 countries or regions around the world.

Description:

This publication contains data from 1976 to date for major livestock series: cattle and calves, hogs, sheep and lambs, wool, furs, trade and prices, stocks of frozen meats, and apparent per capita meat consumption. Data highlights are also included. New and revised estimates for these data are released four times a year.

Description:

This publication presents data on young offender admissions to custody and community services, with breakdowns by custody (remand, secure, open) and probation, and key case characteristics, such as age, sex, Aboriginal/non-Aboriginal status and most serious offence. In addition, it includes data pertaining to releases from remand, secure custody and open custody, by sex and time served. These breakdowns are presented at the national and provincial/territorial levels.

Data presented in this publication are drawn from two primary sources: 1) The Youth Custody and Community Services (YCCS) Survey. The objective of this survey is to collect and analyse information on the application of dispositions under the Young Offenders Act from provincial and territorial agencies responsible for youth corrections and programs. 2) The Youth Key Indicator Report (YKIR). This survey measures the average counts of youth in custody (remand, secure and open) and on probation. The YKIR describes average daily counts (caseload), which measure the volume of offenders held in custody or on probation on an average day at month-end. This information also provides an examination of youth incarceration and probation rates in Canada.

Description:

This microdata file provides data from the Compensation Sector Survey. The purpose of the survey is to obtain a profile of members of the compensation community in the Human Resources community of the federal public service. The results will allow the Human Resources Community Secretariat to renew recruiting, training and development programs for this community in such a manner that these programs would take into account current data.

Description: This report presents a brief overview of the information collected in Cycle 14 of the General Social Survey (GSS). Cycle 14 is the first cycle to collect detailed information on access to and use of information communication technology in Canada. Topics include general use of technology and computers, technology in the workplace, development of computer skills, frequency of Internet and E-mail use, non-users and security and information on the Internet. The target population of the GSS is all individuals aged 15 and over living in a private household in one of the ten provinces.

Description:

The Survey of Usage by Businesses of the Social Insurance Number was conducted during June and July 2000 on behalf of Human Resources Development Canada. The survey asked companies with two or more employees how they used the Social Insurance Number of their employees, contract workers and clients, and how they used the SIN card. This electronic publication presents 7 selected detailed tables in support of The daily (cat. no. 11-001-XIE) release February 15, along with methods and concepts pertaining to the release.

Description:

This paper has two goals. The first is to inform retail store data users, industry analysis, trade associations and other stakeholders about these changes. The second is to consult with stakeholders on possible data ouputs resulting from the changes.

Description: The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.

Description:

This American Sign Language video provides an introduction to the Canadian Survey on Disability. Specifically, it includes a brief description of the benefits of participating in the survey, what participating in the survey involves, how respondents were selected to participate, and information on privacy and confidentiality.

Description:

This infographic explains the steps involved in collecting data for all Statistics Canada household and business surveys. The responses are compiled, analyzed and used to make important decisions and are kept strictly confidential.

Description:

Data gathering involves first determining what data you need, then where to find it, how to get it and how to keep it safe. This module introduces you to things you should consider when gathering data.

Description:

This publication is a catalogue of strategies and mechanisms that a statistical organization should consider adopting, according to its particular context. This compendium is based on lessons learned and best practices of leadership and management of statistical agencies within the scope of Statistics Canada’s International Statistical Fellowship Program (ISFP). It contains four broad sections including, characteristics of an effective national statistical system; core management practices; improving, modernizing and finding efficiencies; and, strategies to better inform and engage key stakeholders.

Description:

Careful design of a dual-frame random digit dial (RDD) telephone survey requires selecting from among many options that have varying impacts on cost, precision, and coverage in order to obtain the best possible implementation of the study goals. One such consideration is whether to screen cell-phone households in order to interview cell-phone only (CPO) households and exclude dual-user household, or to take all interviews obtained via the cell-phone sample. We present a framework in which to consider the tradeoffs between these two options and a method to select the optimal design. We derive and discuss the optimum allocation of sample size between the two sampling frames and explore the choice of optimum p, the mixing parameter for the dual-user domain. We illustrate our methods using the National Immunization Survey, sponsored by the Centers for Disease Control and Prevention.

Description:

This infographic demonstrates the journey of data and how respondents' answers to our surveys become useful data used to make informed decisions. The infographic highlights the Labour Force Survey (LFS), the Survey of Household Spending (SHS), and the Canadian Community Health Survey (CCHS).

Description:

This paper introduces a general framework for deriving the optimal inclusion probabilities for a variety of survey contexts in which disseminating survey estimates of pre-established accuracy for a multiplicity of both variables and domains of interest is required. The framework can define either standard stratified or incomplete stratified sampling designs. The optimal inclusion probabilities are obtained by minimizing costs through an algorithm that guarantees the bounding of sampling errors at the domains level, assuming that the domain membership variables are available in the sampling frame. The target variables are unknown, but can be predicted with suitable super-population models. The algorithm takes properly into account this model uncertainty. Some experiments based on real data show the empirical properties of the algorithm.

Description:

Composite estimation is a technique applicable to repeated surveys with controlled overlap between successive surveys. This paper examines the modified regression estimators that incorporate information from previous time periods into estimates for the current time period. The range of modified regression estimators are extended to the situation of business surveys with survey frames that change over time, due to the addition of “births” and the deletion of “deaths”. Since the modified regression estimators can deviate from the generalized regression estimator over time, it is proposed to use a compromise modified regression estimator, a weighted average of the modified regression estimator and the generalised regression estimator. A Monte Carlo simulation study shows that the proposed compromise modified regression estimator leads to significant efficiency gains in both the point-in-time and movement estimates.

Description:

This document is for analysts/researchers who are considering doing research with data from a survey where both survey weights and bootstrap weights are provided in the data files. This document gives directions, for some selected software packages, about how to get started in using survey weights and bootstrap weights for an analysis of survey data. We give brief directions for obtaining survey-weighted estimates, bootstrap variance estimates (and other desired error quantities) and some typical test statistics for each software package in turn. While these directions are provided just for the chosen examples, there will be information about the range of weighted and bootstrapped analyses that can be carried out by each software package.

Description:

This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interviews conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces and three territories. (The three territories are surveyed every second year.)

This guide includes definitions of survey terms and variables and descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).

Description:

Starting with the 1997 survey year, the Family Expenditure Survey was replaced by the Survey of Household Spending (SHS). This note provides information to users and prospective users of data from the SHS about the differences between the SHS and the former Family Expenditure Survey. Topics covered include sample size, number of questions, coverage, and concepts.

Description:

Starting with the 1997 survey year, the Household Facilities and Equipment Survey was replaced by the Survey of Household Spending (SHS). This note provides information to users and prospective users of data from the SHS about the differences between the SHS and the former Household Facilities and Equipment Survey. Topics covered include sample size, weighting, collection method, reference period, and concepts.

Description:

This report provides an overview of an inventory of publicly available data on the nonprofit sector.

Description:

Direct measures of skill attainment such as the International Adult Literacy Survey are used to assess the importance of educational outcome skills such as literacy in determining labour market outcomes such as earnings. Policy makers also use them to direct resources most efficiently. However, these skill measures are the product of complex statistical procedures. This paper examines the mathematical robustness of the International Adult Literacy Survey measures against other possibilities in estimating the impact of literacy on individual earnings.

Description:

The focus of Symposium'99 is on techniques and methods for combining data from different sources and on analysis of the resulting data sets. In this talk we illustrate the usefulness of taking such an "integrating" approach when tackling a complex statistical problem. The problem itself is easily described - it is how to approximate, as closely as possible, a "perfect census", and in particular, how to obtain census counts that are "free" of underenumeration. Typically, underenumeration is estimated by carrying out a post enumeration survey (PES) following the census. In the UK in 1991 the PEF failed to identify the full size of the underenumeration and so demographic methods were used to estimate the extent of the undercount. The problems with the "traditional" PES approach in 1991 resulted in a joint research project between the Office for National Statistics and the Department of Social Statistics at the University of Southampton aimed at developing a methodology which will allow a "One Number Census" in the UK in 2001. That is, underenumeration will be accounted for not just at high levels of aggregation, but right down to the lowest levels at which census tabulations are produced. In this way all census outputs will be internally consistent, adding to the national population estimates. The basis of this methodology is the integration of information from a number of data sources in order to achieve this "One Number".

Description:

One method of enriching survey data is to supplement information collected directly from the respondent with that obtained from administrative systems. The aims of such a practice include being able to collect data which might not otherwise be possible, provision of better quality information for data items which respondents may not be able to report accurately (or not at all) reduction of respondent load, and maximising the utility of information held in administrative systems. Given the direct link with administrative information, the data set resulting from such techniques is potentially a powerful basis for policy-relevant analysis and evaluation. However, the processes involved in effectively combining data from different sources raise a number of challenges which need to be addressed by the parties involved. These include issues associated with privacy, data linking, data quality, estimation, and dissemination.

Description:

To reach their target audience efficiently, advertisers and media planners need information on which media their customers use. For instance, they may need to know what percentage of Diet Coke drinkers watch Baywatch, or how many AT&T customers have seen an advertisement for Sprint during the last week. All the relevant data could theoretically be collected from each respondent. However, obtaining full detailed and accurate information would be very expensive. It would also impose a heavy respondent burden under current data collection technology. This information is currently collected through separate surveys in New Zealand and in many other countries. Exposure to the major media is measured continuously, and product usage studies are common. Statistical matching techniques provide a way of combining these separate information sources. The New Zealand television ratings database was combined with a syndicated survey of print readership and product usage, using statistical matching. The resulting Panorama service meets the targeting information needs of advertisers and media planners. It has since been duplicated in Australia. This paper discusses the development of the statistical matching framework for combining these databases, and the heuristics and techniques used. These included an experiment conducted using a screening design to identify important matching variables. Studies evaluating and validating the combined results are also summarized. The following three major evaluation criteria were used; accuracy of combined results, statibility of combined results and the preservation of currency results from the component databases. The paper then discusses how the prerequisites for combining the databases were met. The biggest hurdle at this stage was the differences between the analysis techniques used on the two component databases. Finally, suggestions for developing similar statistical matching systems elsewhere will be given.

Description:

A population needs-based health care resource allocation model was developed and applied using age, sex and health status of populations to measure population need for health care in Ontario. To develop the model, provincial data on self-assessed health and health service utilization by age and sex from 62,413 respondents to the 1990 Ontario Health Survey (OHS) were used in combination with provincial health care expenditure data for the fiscal year 1995/96 by age and sex. The model was limited to the services that were covered in the OHS (general practitioner, specialist physician, optometry, physiotherapy, chiropractic and acute hospital). The distribution of utilization and expenditures between age-sex-health status categories was used to establish appropriate health care resource shares for each age-sex-health status combination. These resource shares were then applied to geographic populations using age, sex and health status data from the OHS together with more recent population estimates to determine the needs-based health care resource allocation for each area. Total dollar allocations were restricted to sum to the 1995/96 provincial budget and were compared with 1995/96 allocations to determine the extent to which Ontario allocations are consistent with the relative needs of the area populations.

Description:

The application of dual system estimation (DSE) to matched Census / Post Enumeration Survey (PES) data in order to measure net undercount is well understood (Hogan, 1993). However, this approach has so far not been used to measure net undercount in the UK. The 2001 PES in the UK will use this methodology. This paper presents the general approach to design and estimation for this PES (the 2001 Census Coverage Survey). The estimation combines DSE with standard ratio and regression estimation. A simulation study using census data from the 1991 Census of England and Wales demonstrates that the ratio model is in general more robust than the regression model.