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All (10,032) (40 to 50 of 10,032 results)

  • 41. Consumer Price Index August 2024
    Stats in brief: 11-001-X20242613665
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-17
  • 42. Small Area Estimation Methodology Using Labour Force Survey Data
    Articles and reports: 75-005-M2024003
    Description: This document briefly describes the small area estimation methodology developed to produce monthly estimates of employment and unemployment rate for census metropolitan areas, census agglomerations, and self-contained labour areas using data from the Labour Force Survey, Employment Insurance statistics and population projections.
    Release date: 2024-09-17
  • 43. Model-based principal field crop estimates August 2024
    Stats in brief: 11-001-X202426012721
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-16
  • 44. Monthly Survey of Manufacturing July 2024
    Stats in brief: 11-001-X20242603628
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-16
  • 45. Charting change: How time-series data provides insights on Canadian well-being
    Articles and reports: 75-006-X202400100007
    Description: This study uses data from multiple waves of the Canadian Social Survey (CSS) to examine trends in three key Quality of Life indicators, namely life satisfaction, experiences of financial hardship, and future outlook. Monitoring these well-being indicators following periods of considerable social and economic change is particularly important. Beginning in the summer of 2021, the CSS, a new quarterly survey, captured the latter part of the COVID-19 pandemic as well as the rising cost of living in Canada, allowing for an understanding of how Canadians are coping with these challenges.
    Release date: 2024-09-13
  • 46. Industrial capacity utilization rates second quarter 2024
    Stats in brief: 11-001-X20242573309
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-13
  • 47. Wholesale trade July 2024
    Stats in brief: 11-001-X20242573647
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-13
  • 48. Study: Charting change: How time-series data provides insights on Canadian well-being
    Stats in brief: 11-001-X202425738424
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-13
  • 49. Charting changes in Canadians’ mental and financial well-being, 2021 to 2024
    Stats in brief: 11-627-M2024033
    Description: This infographic examines declines in Canadians’ well-being over the past few years, and how these downward changes vary across different segments of the population. Life satisfaction, financial difficulty, and future outlook, which are key quality of life indicators, are presented.
    Release date: 2024-09-13
  • 50. Statistics Canada - Infographics
    Journals and periodicals: 11-627-M
    Description: Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time.

    These infographics will provide a quick overview of Statistics Canada survey data.

    Release date: 2024-09-13
Stats in brief (2,664)

Stats in brief (2,664) (20 to 30 of 2,664 results)

Articles and reports (7,047)

Articles and reports (7,047) (6,950 to 6,960 of 7,047 results)

  • 6,951. Estimating the age/sex distribution of small area populations Archived
    Articles and reports: 12-001-X198500214401
    Description:

    This paper describes a method of producing current age/sex specific population estimates for small areas utilizing as inputs total population estimates, birth and death data and estimates of historical residual net migration. An evaluation based on the 1981 Census counts for census divisions and school districts in British Columbia is presented.

    Release date: 1985-12-16
  • 6,952. Estimating population by age and sex for census divisions and census metropolitan areas Archived
    Articles and reports: 12-001-X198500214402
    Description:

    A methodology has been developed for producing population estimates by single years of age and sex for small areas (census divisions and census metropolitan areas). To assure reliability, the estimates by single years of age are grouped into five years and only these grouped data are recomended for dissemination. They are based on the age-sex composition of population from the last census, births by sex, deaths by single years of age and sex, estimates of migration by age and sex, and counts of family allowance recipients in the age group 1-14 years.

    Release date: 1985-12-16
  • 6,953. Experience with small area population estimates Archived
    Articles and reports: 12-001-X198500214403
    Description:

    Statistics Canada’s current methodologies forestimating the population of census divisions and census metropolitan areas are the regression-nested and component methods. This paper presents the experience with these estimates for the period 1981 to 1985, focusing on problems encountered with the input data on family allowance recipients.

    Release date: 1985-12-16
  • 6,954. The Relationship Between Statisticians and Statisticians Archived
    Articles and reports: 12-001-X198500214636
    Description:

    There are many people called statisticians who carry out a very diverse set of activities which are labelled statistics. As part of the invited address at the 1985 meeting of the Statistical Society of Canada, the author presents his views and discusses the nature of the relationships between the different types of statisticians.

    Release date: 1985-12-16
  • 6,955. Some aspects of nonresponse adjustments Archived
    Articles and reports: 12-001-X198500114359
    Description:

    Unit and item nonresponse almost always occur in surveys and censuses. The larger its size the larger its potential effect will be on survey estimates. It is, therefore, important to cope with it at every stage where they can be affected. At varying degrees the size of nonresponse can be coped with at design, field and processing stages. The nonresponse problems have an impact on estimation formulas for various statistics as a result of imputations and weight adjustments along with survey weights in the estimates of means, totals, or other statistics. The formulas may be decomposed into components that include response errors, the effect of weight adjustment for unit nonresponse, and the effect of substitution for nonresponse. The impacts of the design, field, and processing stages on the components of the estimates are examined.

    Release date: 1985-06-14
  • 6,956. Conditional inference in survey sampling Archived
    Articles and reports: 12-001-X198500114364
    Description:

    Conventional methods of inference in survey sampling are critically examined. The need for conditioning the inference on recognizable subsets of the population is emphasized. A number of real examples involving random sample sizes are presented to illustrate inferences conditional on the realized sample configuration and associated difficulties. The examples include the following: estimation of (a) population mean under simple random sampling; (b) population mean in the presence of outliers; (c) domain total and domain mean; (d) population mean with two-way stratification; (e) population mean in the presence of non-responses; (f) population mean under general designs. The conditional bias and the conditional variance of estimators of a population mean (or a domain mean or total), and the associated confidence intervals, are examined.

    Release date: 1985-06-14
  • 6,957. Cost-variance optimization for the Canadian Labour Force Survey Archived
    Articles and reports: 12-001-X198500114365
    Description:

    The cost-variance optimization of the design of the Canadian Labour Force Survey was carried out in two steps. First, the sample designs were optimized for each of the two major area types, the Self-Representing (SR) and the Non-Self-Representing (NSR) areas. Cost models were developed and parameters estimated from a detailed field study and by simulation, while variances were estimated using data from the Census of Population. The scope of the optimization included the allocation of sample to the two stages in the SR design, and the consideration of two alternatives to the old design in NSR areas. The second stage of optimization was the allocation of sample to SR and NSR areas.

    Release date: 1985-06-14
  • 6,958. Performance of ARIMA models in time series Archived
    Articles and reports: 12-001-X198500114366
    Description:

    This study is mainly concerned with an evaluation of the forecasting performance of a set of the most often applied ARIMA models. These models were fitted to a sample of two hundred seasonal time series chosen from eleven sectors of the Canadian economy. The performance of the models was judged according to eight variable criteria, namely: average forecast error for the last three years, the chi-square statistic for the randomness of the residuals, the presence of small parameters, overdifferencing, underdifferencing, correlation between the parameters, stationarity and invertibility. Overall and conditional rankings of the models are obtained and graphs are presented.

    Release date: 1985-06-14
  • 6,959. An empirical study of some regression estimators for small domains Archived
    Articles and reports: 12-001-X198500114367
    Description:

    The synthetic estimator (SYN) has been traditionally used to estimate characteristics of small domains. Although it has the advantage of a small variance, it can be seriously biased in some small domains which depart in structure from the overall domains. Särndal (1981) introduced the regression estimator (REG) in the context of domain estimation. This estimator is nearly unbiased, however, it has two drawbacks; (i) its variance can be considerable in some small domains and (ii) it can take on negative values in situations that do not allow such values.

    In this paper, we report on a compromise estimator which strikes a balance between the two estimators SYN and REG. This estimator, called the modified regression estimator (MRE), has the advantage of a considerably reduced variance compared to the REG estimator and has a smaller Mean Squared Error than the SYN estimator in domains where the latter is badly biased. The MRE estimator eliminates the drawback with negative values mentioned above. These results are supported by a Monte Carlo study involving 500 samples.

    Release date: 1985-06-14
  • 6,960. 1981 Census of Agriculture data processing methodology Archived
    Articles and reports: 12-001-X198500114371
    Description:

    This paper presents an overview of the methodology used in the processing of the 1981 Census of Agriculture data. The edit and imputation techniques are stressed, with emphasis on the multivariate search algorithm. A brief evaluation of the system’s performance is given.

    Release date: 1985-06-14
Journals and periodicals (321)

Journals and periodicals (321) (320 to 330 of 321 results)

  • 321. An Overview of the Differences Between Police-reported and Victim-reported Crime Archived
    Journals and periodicals: 85-542-X
    Geography: Canada
    Description:

    The purpose of this report is to reduce the level of confusion arising from the use of crime data originating from two very different sources (i.e., the Uniform Crime Reporting Survey - UCR and the General Social Survey - GSS) and to inform discussions about which is the better measure of crime. It explains why the findings based on these data sources diverge and summarizes the major differences between the two surveys.

    Release date: 1997-05-14
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