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The migration data are released annually from a modelled databank that monitors and tracks the movements of people to and within Canada. Data are derived from the comparison of two consecutive years of tax files. Most current data show migration between 2011 and 2012.

Data on international migration and internal migration are generally available 15 to 18 months after the tax filing deadline.

The data consist of estimates of migration flows between census divisions (CDs) or census metropolitan areas (CMAs), by sex and broad age groups. Information may be requested by province of origin/destination, by age group, by type of migration (interprovincial, intraprovincial and international) and sex; and for migration flows by census division of origin/destination, or by census metropolitan area/non-census metropolitan area of origin/destination. The statistics are derived from the annual tax file provided by the Canada Revenue Agency.

Note: Intraprovincial migration: movement of people between two CDs or CMAs located within the same province. The CD/CMA of departure is the CD/CMA of origin and the CD/CMA of arrival is the CD/CMA of destination. Interprovincial migration: movement of people between CDs and CMAs located in two different provinces. The province of departure is the province of origin and the province of arrival is the province of destination. International migration: movement of people between an area in Canada and another country. Migration flows: migration flows for any given CD or CMA. The flows are listed in descending order of net migration for the most recent year of migration.

Although weights are widely used in survey sampling their ultimate justification from the design perspective is often problematical. Here we will argue for a stepwise Bayes justification for weights that does not depend explicitly on the sampling design. This approach will make use of the standard kind of information present in auxiliary variables however it will not assume a model relating the auxiliary variables to the characteristic of interest. The resulting weight for a unit in the sample can be given the usual interpretation as the number of units in the population which it represents.

In most surveys all sample units receive the same treatment and the same design features apply to all selected people and households. In this paper, it is explained how survey designs may be tailored to optimize quality given constraints on costs. Such designs are called adaptive survey designs. The basic ingredients of such designs are introduced, discussed and illustrated with various examples.

A considerable limitation of current methods for automatic data editing is that they treat all edits as hard constraints. That is to say, an edit failure is always attributed to an error in the data. In manual editing, however, subject-matter specialists also make extensive use of soft edits, i.e., constraints that identify (combinations of) values that are suspicious but not necessarily incorrect. The inability of automatic editing methods to handle soft edits partly explains why in practice many differences are found between manually edited and automatically edited data. The object of this article is to present a new formulation of the error localisation problem which can distinguish between hard and soft edits. Moreover, it is shown how this problem may be solved by an extension of the error localisation algorithm of De Waal and Quere (2003).

SILC (Statistics on Income and Living Conditions) is an annual European survey that measures the population's income distribution, poverty and living conditions. It has been conducted in Switzerland since 2007, based on a four-panel rotation scheme that yields both cross-sectional and longitudinal estimates. This article examines the problem of estimating the variance of the cross-sectional poverty and social exclusion indicators selected by Eurostat. Our calculations take into account the non-linearity of the estimators, total non-response at different survey stages, indirect sampling and calibration. We adapt the method proposed by Lavallée (2002) for estimating variance in cases of non-response after weight sharing, and we obtain a variance estimator that is asymptotically unbiased and very easy to program.

A question that commonly arises in longitudinal surveys is the issue of how to combine differing cohorts of the survey. In this paper we present a novel method for combining different cohorts, and using all available data, in a longitudinal survey to estimate parameters of a semiparametric model, which relates the response variable to a set of covariates. The procedure builds upon the Weighted Generalized Estimation Equation method for handling missing waves in longitudinal studies. Our method is set up under a joint-randomization framework for estimation of model parameters, which takes into account the superpopulation model as well as the survey design randomization. We also propose a design-based, and a joint-randomization, variance estimation method. To illustrate the methodology we apply it to the Survey of Doctorate Recipients, conducted by the U.S. National Science Foundation.

We consider two different self-benchmarking methods for the estimation of small area means based on the Fay-Herriot (FH) area level model: the method of You and Rao (2002) applied to the FH model and the method of Wang, Fuller and Qu (2008) based on augmented models. We derive an estimator of the mean squared prediction error (MSPE) of the You-Rao (YR) estimator of a small area mean that, under the true model, is correct to second-order terms. We report the results of a simulation study on the relative bias of the MSPE estimator of the YR estimator and the MSPE estimator of the Wang, Fuller and Qu (WFQ) estimator obtained under an augmented model. We also study the MSPE and the estimators of MSPE for the YR and WFQ estimators obtained under a misspecified model.

We consider conservative variance estimation for the Horvitz-Thompson estimator of a population total in sampling designs with zero pairwise inclusion probabilities, known as "non-measurable" designs. We decompose the standard Horvitz-Thompson variance estimator under such designs and characterize the bias precisely. We develop a bias correction that is guaranteed to be weakly conservative (nonnegatively biased) regardless of the nature of the non-measurability. The analysis sheds light on conditions under which the standard Horvitz-Thompson variance estimator performs well despite non-measurability and where the conservative bias correction may outperform commonly-used approximations.

Readers will find a complete analysis of factors affecting the comparability of Language results between the censuses in the Methodological Document on the 2011 Census Language Data.

Data matching is a common practice used to reduce the response burden of respondents and to improve the quality of the information collected from respondents when the linkage method does not introduce bias. However, historical linkage, which consists in linking external records from previous years to the year of the initial wave of a survey, is relatively rare and, until now, had not been used at Statistics Canada. The present paper describes the method used to link the records from the Living in Canada Survey pilot to historical tax data on income and labour (T1 and T4 files). It presents the evolution of the linkage rate going back over time and compares earnings data collected from personal income tax returns with those collected from employers file. To illustrate the new possibilities of analysis offered by this type of linkage, the study concludes with an earnings profile by age and sex for different cohorts based on year of birth.

This package was designed to help users access and manipulate the public use microdata file (PUMF – provincial) for the 2014 General Social Survey (GSS) on Canadians’ Safety (Victimization). It contains the PUMF data and describes the objectives, methodology and estimation procedures for this survey as well as guidelines for releasing estimates.

Statistics Canada collected data on the topic of Canadians’ safety (Victimization) for the sixth time in 2014. Data were previously collected in 1988 (Cycle 3), 1993 (Cycle 8), 1999 (Cycle 13), 2004 (Cycle 18) and 2009 (Cycle 23). The 2014 provincial GSS collected data from persons aged 15 years and over living in private households in Canada, excluding residents of the Yukon, Northwest Territories and Nunavut and full time residents of institutions.

Between 2009 and 2014, the core content of the survey was revised in a number of ways, based on experience gained from earlier iterations. Some questions were revised to improve their clarity for respondents, and others were added or dropped following consultations with stakeholders from the justice sector, government and academic communities.

This package was designed to enable users to access and manipulate the microdata file for Cycle 23 (2009) of the General Social Survey (GSS). It contains information on the objectives, methodology and estimation procedures, as well as guidelines for releasing estimates based on the survey.

Cycle 23 collected data from persons 15 years and over living in private households in Canada, excluding residents of the Yukon, Northwest Territories and Nunavut; and full-time residents of institutions.

The purpose of this survey is to better understand how Canadians perceive crime and the justice system and their experiences of victimization. The survey is designed to produce estimates of the extent to which persons are the victims of eight types of offences (assault, sexual assault, robbery, theft of personal property, breaking and entering, motor vehicle theft, theft of household property and vandalism); to examine the risk factors associated with victimization; to examine the rates of reporting to the police; and to evaluate the fear of crime and public perceptions of crime and the criminal justice system.

Cycle 23 is the fifth cycle of the GSS dedicated to collecting data on victimization. Previous cycles had been conducted in 1988, 1993, 1999 and 2004. Cycle 23 includes most of the content from previous cycles as well as new content, added to reflect the society's emerging issues of crime prevention and Internet victimization.

This package was designed to enable users to access and manipulate the microdata file for the 21st cycle (2007) of the General Social Survey (GSS). It contains information on the objectives, methodology and estimation procedures, as well as guidelines for releasing estimates based on the survey. Cycle 21 of the GSS collected data from persons aged 45 years and over living in private households in the 10 provinces of Canada. The survey covered a wide range of topics such as well-being, family composition, retirement decisions and plans, care giving and care receiving experiences, social networks and housing.

Cycle 15 of the General Social Survey (GSS) is the third cycle to collect detailed information on family life in Canada. The previous GSS cycles that collected family data were Cycles 5 and 10. Topics include demographic characteristics such as age, sex, and marital status; family origin of parents; brothers and sisters; marriages of respondent; common-law unions of respondent; fertility and family intentions; values and attitudes; education history; work history; main activity and other characteristics.

The target population for Cycle 15 of the GSS is all persons 15 years of age and older in Canada, excluding residents of the Yukon, Northwest Territories, and Nunavut, and full-time residents of institutions.

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.

This Statistics Canada publication is a collection of five annotated maps and graphs that describe the geographic distribution of manure in Canada by river basin. The amount of manure produced is estimated along with some of the major substances found in manure: (i) nitrogen, (ii) phosphorus, (iii) total coliform bacteria and (iv) fecal coliform bacteria.

The maps and figures presented in this report indicate that there are geographic areas in Canada characterized by higher levels of total livestock manure and related production of nitrogen, phosphorus and bacteria. Areas that repeatedly showed the highest levels were found in central and southern Alberta, southern Manitoba, southern Ontario, southeastern Quebec, parts of Prince Edward Island, the west Fraser River area in southern British Columbia and an area near Wolfville and Kentville, Nova Scotia.

This publication presents data on revenue and expense items from wholesalers and retailers by trade group and by province. There are 16 retail trade groups and 11 wholesale trade groups. Profiles of the retail trade groups are provided for each individual province/territory and are comprised of: number of locations, total operating revenues, cost of goods sold, gross margin and employee earnings and benefits. At the national level for each retail trade group are the following performance indicators: sales to inventory, cost of goods sold to inventory, gross margin and profit margin. Also provided at the national level are total operating revenues, number of locations for independent and for chain stores, the number of retail businesses by trade and total operating revenue by SIC (4 digit when possible).

The 11 wholesale trade groups, plus grain and petroleum products, are profiled for each individual province/territory giving: number of locations, total operating revenues, cost of goods sold, gross margin and employee earnings and benefits. Performance indicators by trade group at the national level including sales to inventory, cost of goods sold to inventory, gross margin and profit margin are provided. Total operating revenue at the national level by Standard Industrial Classification and by class of customer and trade group are also provided.

This publication presents information on the income, expenditure and assets of all trusteed pension funds in Canada in both the public and private sectors. Data are presented at the Canada level. The publication contains an analysis of the funds based on the size of the fund, the number of members and the type of benefit. It is a continuation of a series of reports produced since 1957. As a single pool of investment capital in Canada, these funds are surpassed in size only by the aggregate reserves held by the chartered banks.

With this working paper, Statistics Canada is releasing 1991 Census data tabulated by a new geographic classification called "census metropolitan area and census agglomeration influenced zones", or MIZ. This classification applies to census subdivisions (municipalities) that lie outside census metropolitan areas and census agglomerations. This part of Canada covers 96% of the country's total land mass and contains 22% of its population, yet up to now we have been limited in our means of differentiating this vast area. The MIZ classification shows the influence of census metropolitan areas (CMA) and census agglomerations (CA) on surrounding census subdivisions as measured by commuting flows based on 1991 Census place of work data. This version of the MIZ classification also incorporates a preliminary version of a north concept that flags census subdivisions according to their location in the north or south of Canada.

The series of tables presented here show detailed demographic, social and economic characteristics for Canada as a whole, for the six major regions of Canada, and for individual provinces and territories. Within each table, the data are subdivided into five categories: census metropolitan area or census agglomeration, strong MIZ, moderate MIZ, weak MIZ and no MIZ. Within each of these categories, the data are further subdivided into north and south.

Readers are invited to review and use the data tables to assess whether this combined MIZ and north/south classification of non-CMA/CA areas provides sufficient detail to support data analysis and research. The intent of this MIZ classification is to reveal previously hidden data detail and thereby help users address issues related to this vast geographic area.

This is the first of three related Geography working papers (catalogue no. 92F0138MPE). The second working paper (no. 2000-2, 92F0138MPE00002) provides background information about the methodology used to delineate the MIZ classification. The third working paper (no. 2000-3, 92F0138MPE00003) describes the methodology used to define a continuous line across Canada that separates the north from the south to further differentiate the MIZ classification.

Consulting Engineering Services Price Index (CEPI) is an annual index that measures changes in the prices for services provided by consulting engineers. These services encompass advisory and design work as well as construction or project management. They are provided for many types of projects (fields of specialization), and to both Canadian and foreign clients. Price indexes are published for 10 fields of specialization as well as for national, regional, and foreign markets.

The most recent police-reported statistics indicate that the crime rate in Canada has decreased for the eighth consecutive year and is at its lowest point since 1979. Statistics from the United States and from many other countries show similar trends. However, data from studies such as the 1993 General Social Survey (GSS), the 1996 International Criminal Victimization Survey (ICVS), and national polls suggest that many Canadians perceive crime as increasing and fear being a victim of crime in their neighbourhoods. The most feared crimes are those of a violent nature, especially homicide – the killing of one human being by another – which tends to receive more media attention than any other criminal act. Despite this concern among Canadians about violence, the homicide rate has been declining since the mid-1970s.

This paper addresses the topic of inter-provincial migration in terms of the basic question: "who moves?" Panel logit models of the probability of moving from one year to the next are estimated using samples derived from the Longitudinal Administrative Database covering the period 1982-95. Explanatory variables include "environmental" factors, personal characteristics, labour market attributes, and a series of year variables. Separate models are estimated for eight age-sex groups.

The major findings include that: i) migration rates have been inversely related to the size of the province, presumably capturing economic conditions, labour market scale effects, and pure geographical distance, while language has also played an important role; ii) residents of smaller cities, towns, and especially rural areas have been less likely to move than individuals in larger cities; iii) age, marriage, and the presence of children have been negatively related to mobility, for both men and women; iv) migration has been positively related to the provincial unemployment rate, the individuals' receipt of unemployment insurance (except Entry Men), having no market income (except for Entry Men and Entry Women), and the receipt of social assistance (especially for men); v) beyond the zero earnings point, migration has been positively related to earnings levels for prime aged men, but not for others, and these effects are generally small (holding other factors constant); vi) there were no dramatic shifts in migration rates over time, but men's rates dropped off a bit in the 1990s while women's rates (except for the Entry group) generally held steadier or rose slightly, indicating a divergence in trends along gender lines.

Mahalanobis provided an example of how to use statistics to enlighten and inform government policy makers. His pioneering work was used by the US Bureau of the Census to learn more about measurement errors in censuses and surveys. People have many misconceptions about censuses, among them who is to be counted and where. Errors in the census do occur, among them errors in coverage. Over the years, the US Bureau of the Census has developed statistical techniques, including sampling in the census, to increase accuracy and reduce response burden.

During the summer of 1999, Statistics Canada conducted the second Survey of Intellectual Property Commercialization in the Higher Education Sector, which was designed to illuminate the overall process of intellectual property (IP) management. Over 100 universities, degree-granting colleges and affiliated research hospitals took part in this voluntary survey. The results show that over 60% of institutions are actively managing (identifying, protecting, promoting and/or commercializing) their IP. Within the last five years, 47% of institutions have filed a patent application and 32% have licensed their technologies, to generate over $21 million per annum in royalties. Universities also hold $55 million in equity in their 454 spin-off companies formed to date.

A meta analysis was performed to estimate the proportion of liver carcinogens, the proportion of chemicals carcinogenic at any site, and the corresponding proportion of anticarcinogens among chemicals tested in 397 long-term cancer bioassays conducted by the U.S. National Toxicology Program. Although the estimator used was negatively biased, the study provided persuasive evidence for a larger proportion of liver carcinogens (0.43,90%CI: 0.35,0.51) than was identified by the NTP (0.28). A larger proportion of chemicals carcinogenic at any site was also estimated (0.59,90%CI: 0.49,0.69) than was identified by the NTP (0.51), although this excess was not statistically significant. A larger proportion of anticarcinogens (0.66) was estimated than carcinogens (0.59). Despite the negative bias, it was estimated that 85% of the chemicals were either carcinogenic or anticarcinogenic at some site in some sex-species group. This suggests that most chemicals tested at high enough doses will cause some sort of perturbation in tumor rates.

This working paper provides an overview of census metropolitan and census agglomeration influenced zones, or MIZ, their background and the methodology used to define them. The MIZ classification is an approach to better differentiate areas of Canada outside of census metropolitan areas (CMA) and census agglomerations (CA). Census subdivisions that lie outside these areas are classified into one of four zones of influence ranging from "strong" to "no" influence according to the degree of influence that CMA/CAs have on them. The MIZ classification fills a gap in Statistics Canada's geographic framework and promotes data integration since we expect it will be possible to obtain survey data as well as census data based on the same geographic structure. Studies done with a preliminary version of MIZ showed the potential of MIZ to reveal the diversity of non-metropolitan Canada. Based on feedback received on that initial research, this working paper reports on more recent work that has been done to refine the number and data breakpoints for MIZ categories and to examine the additional variables of distances between census subdivisions (CSDs), physical adjacency and a north-south allocation.

This is the second in a series of three related Geography working papers (catalogue no. 92F0138MPE) that describe a new statistical area classification that includes census metropolitan areas/census agglomerations, MIZ and the North concept. The first working paper (no. 2000-1, 92F0138MPE00001) briefly describes MIZ and provides tables of selected socio-economic characteristics from the 1991 Census tabulated by the MIZ categories. The third working paper (no. 2000-3, 92F0138MPE00003) describes the North concept and the methodology used to define a continuous line across Canada that separates the north from the south to further differentiate the MIZ classification.

Statistics Canada's interest in a common delineation of the north for statistical analysis purposes evolved from research to devise a classification to further differentiate the largely rural and remote areas that make up 96% of Canada's land area. That research led to the establishment of the census metropolitan area and census agglomeration influenced zone (MIZ) concept. When applied to census subdivisions, the MIZ categories did not work as well in northern areas as in the south. Therefore, the Geography Division set out to determine a north-south divide that would differentiate the north from the south independent of any standard geographic area boundaries.

This working paper describes the methodology used to define a continuous line across Canada to separate the north from the south, as well as lines marking transition zones on both sides of the north-south line. It also describes the indicators selected to derive the north-south line and makes comparisons to alternative definitions of the north. The resulting classification of the north complements the MIZ classification. Together, census metropolitan areas, census agglomerations, MIZ and the North form a new Statistical Area Classification (SAC) for Canada.

Two related Geography working papers (catalogue no. 92F0138MPE) provide further details about the MIZ classification. Working paper no. 2000-1 (92F0138MPE00001) briefly describes MIZ and includes tables of selected socio-economic characteristics from the 1991 Census tabulated by the MIZ categories, and working paper no. 2000-2 (92F0138MPE00002) describes the methodology used to define the MIZ classification.

This paper examines the relation between human capital and rural development.

Computer communications occur when someone connects a computer to a communications network to access information on the Internet, to send and receive e-mail, or to use electronic banking services. This article uses 1998 data to update previous estimates of the proportion of Canadian households regularly using computer communications, analyzing the relationships between usage and location of use, household income, and other demographic factors. The article also looks at the growth of household connectedness over the past year, as well as the time spent using computer communications from home for a variety of services that can be accessed through the Internet.

This chapter describes four specific industry sectors : accomodation services, restaurant services, travel agencies and tour operators, and Canadian tourist attractions.

Although income and expenditure data provide an indication of current consumption and ability to purchase goods and services, they provide little information on the long-term ability of families to sustain themselves. The results of this survey will provide information on the net worth (wealth) of Canadian families, that is, the value of their assets less their debts.

This paper examines the objectives of the survey, how the survey has changed since 1984, the types of questions being asked and information that will be provided, as well as other survey background. An accompanying table outlines the content of the questionnaire. The intent of this paper is to describe the work done to date and the next steps for this important subject.

This document summarizes the comments and feedback received on an earlier document: Towards a new Canadian asset and debt survey - A content discussion paper. The new asset and debt survey (now called the Survey of Financial Security) is to update the wealth information on Canadian families and unattached individuals. Since the last data collection was conducted in 1984, it was essential to include a consultative process in the development of the survey in order to obtain feedback on issues of concern and to define the conceptual framework for the survey.

Comments on the content discussion paper are summarized by major theme and sections indicate how the suggestions are being incorporated into the survey or why they could not be incorporated. This paper also mentions the main objectives of the survey and provides an overview of the survey content, revised according to the feedback from the discussion paper.

The 1993 System of National Accounts (SNA) was implemented in Canada in November 1997 and all national accounts series - annual, quarterly and monthly, both at current and constant prices - were revised back to 1961. There were changes in classification of sectors and transactions, concepts and methodology. As well, we removed the statistical breaks in earlier series that arose due to our revision policy. In the spring of every year, we revise, if necessary, our national accounts series for the latest four years. Statistical breaks for earlier periods are removed only at the time of historical revisions, such as the one done in November 1997. This was the fifth and the most comprehensive historical revision of the Canadian SNA series since 1961, the earlier ones were done in the late 1960s, the late 1970s, in 1985 and in 1990. As our historical revisions have been done almost every decade, and more frequently since the 1980s, statistical breaks in the Canadian system have remained only for a short period.

This paper describes the Survey of Labour and Income Dynamics (SLID) following rules, which govern who is traced and who is interviewed. It also outlines the conceptual basis for these procedures.