Geography - Find information by region or area

Description:

Number of employees by North American Industry Classification System (NAICS) and data type (seasonally adjusted, trend-cycle and unadjusted), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description:

Number of employees by North American Industry Classification System (NAICS). Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Labour force characteristic estimates by visible minority group, age group, and gender.

Description: Labour force characteristic estimates by visible minority group, region, age group, and gender.

Description: Number of employees and unemployment rate by population centre and rural area, gender and age group.

Description:

Number of employees by class of worker, North American Industry Classification System (NAICS), and population centre and rural area, last 5 months.

Description: Labour force characteristic estimates by age group, gender, family age composition, province, and family type, monthly.

Description: Labour force characteristic estimates by detailed Indigenous group, region, age group, and gender.

Description: Number of persons in the labour force (employment and unemployment), and unemployment rate, by National Occupational Classification (NOC) and gender, monthly.

Description: Number of employed persons by usual hours worked, National Occupational Classification (NOC) and gender, monthly.

Description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by type of student during summer months, gender and age group. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change.

Description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by province, type of student during summer months, gender, and age group. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by data type (seasonally adjusted and trend-cycle), gender and age group. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by age group and gender. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by province, gender and age group. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of employees by class of worker and gender. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of employees by class of worker and gender. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of employed persons by actual hours worked at main job and North American Industry Classification System (NAICS), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of employed persons by actual hours worked at main job and North American Industry Classification System (NAICS). Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description:

Number of persons in the labour force (employment and unemployment) and unemployment rate by North American Industry Classification System (NAICS), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description:

This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

In large-scale surveys, it is almost guaranteed that some level of non-response will occur. Generally, statistical agencies use imputation as a way to treat non-response items. A common preliminary step to imputation is the formation of imputation cells. In this article, the formation of these cells is studied using two methods. The first method is similar to that of Eltinge and Yansaneh (1997) in the case of weighting cells and the second is the method currently used in the Canadian Labour Force Survey. Using Labour Force data, simulation studies are performed to test the impact of the response rate, the response mechanism, and constraints on the quality of the point estimator in both methods.

Description:

Using data from the Homicide Survey and a combination of other statistical data sources this Juristat will examine spousal homicide trends over the period 1974-2000. In 1991 changes were made to the Homicide Survey providing more detailed breakdowns of the relationship between victims and offenders permitting comparisons of married, common-law, separated and divorced couples as well as boyfriends and girlfriends. This allows trends in other intimate partner homicides (e.g. boyfriends and girlfriends) to be examined from 1991-2000. These trends in spousal homicide will be assessed within the context of other factors, including improvements to women’s economic and social well-being (e.g. average annual income, delayed marriage and child-rearing), growth in the availability of emergency services for battered women, trends in spousal victims’ use of social services, trends in reporting spousal violence to the police, and the evolution of charging and prosecution policies.

Description:

All provinces and territories set minimum wages in their employment standards legislation. This update uses the Labour Force Survey to examine the characteristics of those who work at or below the minimum wage for experienced adults in each jurisdiction. The incidence of working for minimum wage has increased each year since 2006 but remains concentrated among youth, particularly young women.

Description:

This research paper summarizes the approach, methodology and results of a study of the labour market behaviour of persons in various categories of attachment to the labour market. The analysis focuses on the transition probabilities for various categories of labour market attachment. Specifically, the study will include a discussion of the behavioural differences of the following groups:

a) a comparison of transitions from U (unemployed), M (marginally attached - wants work) and N (not attached - does not want work); b) a further breakdown of the transitions from U by active searchers, passive searchers, those on temporary layoff and short-term future starts; c) a further breakdown of transitions for M by reason for not searching; and d) a further breakdown of transitions from N by long-term future starts and other.

The study will be based on 1997-1999 Labour Force Survey data.

Description: This catalogue briefly describes all Labour Force Survey products offered on a monthly, annual and occasional basis. It includes products, uses, general release dates, formats available and prices, as well as special request services and Internet services. It also introduces any changes to products.

Description:

This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2011. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 2006 Census and updates to industry, occupation and geography classification systems.

Description:

This reference document presents an overview of the different questions used by Statistics Canada to identify Aboriginal peoples. It is divided into three parts. Part one is a brief description of the data sources and their limitations. Part 2 deals with the 2006 census questions used to identify Aboriginal peoples while Part 3 deals with the identification questions used in the Aboriginal Peoples Survey (APS) and the Aboriginal Children's Survey (ACS).

Description:

This paper is an overview of the activities undertaken by Statistics Canada over the past several decades in the field of measuring and valuing unpaid work in all of its many forms. It was first prepared in the early 1990s when the Agency's accomplishments in the field of unpaid work were not as widely known as Statistics Canada would have liked. With each significant new achievement of the Agency, this note has been updated and further updates will be produced in step with the Agency's continuing outputs in this important area.