Online lectures

These online lectures present a compendium of courses and training, and represent the high level of expertise required to make a statistical agency function.

Title Subject Release date
Canada's National Economic Accounts Key Concepts – The Framework
The video describes the overall framework that constitutes Canada's national economic accounts. This online lecture discusses why a framework is needed and which framework Statistics Canada uses to report on the structure and evolution of Canada's economy.
Economic accounts 2018-02-01
QGIS Demo 1 - What is GIS, and why use QGIS?
In this introductory tutorial we'll discuss what geographic information systems (GIS) are, their applications, and potential uses in your own areas of work and expertise.
Geographic information systems 2020-02-17
QGIS Demo 2a - Categories, Sub-types and Properties of Spatial Data
This tutorial covers the main categories and sub-types of spatial data used in GIS, as well as three properties that make datasets spatial: map projections, datums and coordinate reference systems.
Geographic information systems 2020-02-17
QGIS Demo 2b - Downloading Spatial Datasets from Open Maps
This tutorial covers navigating and downloading spatial data from Canada's Open Maps platform, the integrated geospatial data archive for the federal government.
Geographic information systems 2020-02-17
QGIS Demo 3 - Loading and Ordering Spatial Data in QGIS
In this introductory tutorial, you'll learn to navigate QGIS's user-friendly interface, procedures to load spatial datasets in to the program from the Browser Panel and how to order vector layers of different geometry types for visualization in the Map Canvas.
Geographic information systems 2020-02-17
QGIS Demo 4 - Interacting with data in the Map Canvas
This QGIS tutorial demonstrates tools for interacting with spatial data in the map canvas.
Geographic information systems 2020-02-17
QGIS Demo 5 - Exploring the Attribute Table and Layer Properties Box of Vector Data
Following up from interacting with spatial data in the map canvas, this introductory QGIS tutorial covers additional data and available functions in the attribute table and Layer Properties box of loaded vector layers.
Geographic information systems 2020-02-17
QGIS Demo 6 - Creating Vector Data
In this QGIS tutorial you'll learn to create a new vector layer and delineate feature geometries.
Geographic information systems 2020-02-18
QGIS Demo 7 - Selecting Features by Attributes in QGIS
This QGIS tutorial covers attribute-based selection tools, which are used to query, select and subset features in a vector layer by specific criteria, conditions or values of interest within fields of the attribute table.
Geographic information systems 2020-02-18
QGIS Demo 8 - Adding Fields and Editing Feature Attributes with the Field Calculator
This QGIS tutorial introduces the Field Calculator, used to add or update fields within the attribute table and edit features.
Geographic information systems 2020-02-19
QGIS Demo 9 - Visualizing Vector Data (Part 1): Symbology Styles
In this QGIS tutorial we'll cover the available symbology styles and explore their application to text and numeric field types in visualizing vector layers.
Geographic information systems 2020-02-25
QGIS Demo 10 - Visualizing Vector Data (Part 2): Rule-Based Visualizations and Labelling
In this follow-up QGIS tutorial on visualizing vector data, we'll cover rule-based symbologies and labelling schemes, available symbology file formats and creating advanced labels with expression syntax.
Geographic information systems 2020-11-19
QGIS Demo 11 - Best Practices, Tips and Altering Defaults in QGIS
This tutorial introduces best practices for using QGIS and tips for managing datasets, spatial properties and troubleshooting common errors with processing tools.
Geographic information systems 2020-11-19
QGIS Demo 12 - Join by Attributes (Part 1): One-to-One Joins
This QGIS tutorial covers joining datasets by attributes, using common entries to join fields between two or more layers.
Geographic information systems 2020-11-20
QGIS Demo 13 - Join by Attributes (Part 2): One to Many Joins
Following up from the previous tutorial on one-to-one joins by attributes, we'll discuss the second type – the one-to-many join, where there are many rows or features for one corresponding feature geometry.
Geographic information systems 2020-11-20
QGIS Demo 14 - Making Maps in QGIS with the Print Layout (Part 1)
In this two-part QGIS demo we'll cover procedures for creating maps in the Print Layout - a separate window from the main interface.
Geographic information systems 2020-11-23
QGIS Demo 15 - Making Maps in QGIS with the Print Layout (Part 2)
In this follow-up tutorial, we'll add some additional map items and then export the map begun in Part I.
Geographic information systems 2020-11-23
QGIS Demo 16 - Semi-Automated Mapping in QGIS with the Atlas Panel
This QGIS tutorial covers semi-automated mapping over multiple areas of interest using a coverage layer, which defines the map areas, and the Atlas Panel in the Print Layout window.
Geographic information systems 2020-11-24
QGIS Demo 17 - Geoprocessing Tools (Part 1)
This QGIS tutorial introduces geoprocessing tools – which are used to overlay and combine layers based on their spatial distributions.
Geographic information systems 2020-11-24
QGIS Demo 18 - Geoprocessing Tools (Part 2)
In this follow up QGIS tutorial on geoprocessing tools, we'll use the Dissolve and Aggregate tools with the riparian land-cover layer to examine the distribution of different land-cover classes over the entire clip area and by specific watershed respectively.
Geographic information systems 2020-12-11
QGIS Demo 19 - Introduction to Raster Data (Part 1): Processing and Visualizing Single-Band Rasters
This QGIS tutorial provides an introduction to raster datasets, covering procedures for processing, exporting and visualizing these datasets – demonstrated with the single-band Digital Elevation Model (DEM) rasters downloaded from Open Maps.
Geographic information systems 2020-12-11
QGIS Demo 20 - Introduction to Raster Data (Part 2): Digital Elevation Models (DEM) Tools and the Raster Calculator
In this follow-up QGIS tutorial on raster data we'll explore common tools and derivatives of Digital Elevation Models (DEMs) and show how to use the Raster Calculator to select and combine rasters.
Geographic information systems 2020-12-11
Statistics Canada Training Institute – Consumer Price Index
This online lecture provides an introduction to Statistics Canada's definition and production of the Consumer Price Index, which measures the rate at which prices of goods and services purchased by Canadian consumers change, on average, over a specified period of time.
Prices and price indexes 2018-12-18
Statistics Canada Training Institute – Producer price indexes
This online tutorial will provide you with an overview to Statistics Canada's Producer Price Indexes - what they are, how they are made and what they are used for.
Prices and price indexes 2019-05-15

Canadian Health Measures Survey - Cycle 4 (2014-2015) Response rates

Table 1
Combined response rate (%) – Full sample
Table summary
This table displays the results of Combined response rate (%) – Full sample (appearing as column headers).
  Combined response rate (%)
ages 3 to 5
Both sexes 54.7
ages 6 to 11
Males 54.6
Females 54.2
ages 12 to 19
Males 56.2
Females 53.8
ages 20 to 39
Males 51.4
Females 53.5
ages 40 to 59
Males 53.6
Females 56.3
ages 60 to 79
Males 54.1
Females 52.1
Table 2
Combined response rate (%) – Blood draw – Full sample
Table summary
This table displays the results of Combined response rate (%) – Blood draw - Full sample (appearing as column headers).
  Combined response rate (%)
ages 3 to 5
Both sexes 48.3
ages 6 to 11
Males 51.1
Females 48.7
ages 12 to 19
Males 53.4
Females 51.8
ages 20 to 39
Males 50.5
Females 52.8
ages 40 to 59
Males 52.7
Females 55.7
ages 60 to 79
Males 53.4
Females 51.2
Table 3
Combined response rate (%) – Fasted subsample
Table summary
This table displays the results of Combined response rate (%) – Fasted subsample (appearing as column headers).
  Combined response rate (%)
ages 6 to 11
Males 36.2
Females 39.1
ages 12 to 19
Males 43.4
Females 40.1
ages 20 to 39
Males 40.4
Females 45.1
ages 40 to 59
Males 44.0
Females 48.2
ages 60 to 79
Males 49.2
Females 47.0
Table 4
Combined response rate (%) – Fatty Acids subsample
Table summary
This table displays the results of Combined response rate (%) – Fatty Acids subsample (appearing as column headers).
  Combined response rate (%)
ages 20 to 39
Males 49.5
Females 51.7
ages 40 to 59
Males 52.4
Females 54.8
ages 60 to 79
Males 51.1
Females 49.3
Table 5
Combined response rate (%) – Fluoride -person level subsample
Table summary
This table displays the results of Combined response rate (%) – Fluoride -person level subsample Combined response rate (%) – Fluoride -person level subsample (appearing as column headers).
  Combined response rate (%)
ages 3 to 5
Both sexes 46.7
ages 6 to 11
Males 49.4
Females 48.3
ages 12 to 19
Males 52.3
Females 48.4
ages 20 to 39
Males 47.3
Females 48.8
ages 40 to 59
Males 51.6
Females 49.7
ages 60 to 79
Males 50.3
Females 51.2
Table 6
Combined response rate (%) – Volatile Organic Compounds -person level subsample
Table summary
This table displays the results of Combined response rate (%) – Volatile Organic Compounds -person level subsample Combined response rate (%) – Volatile Organic Compounds -person level subsample (appearing as column headers).
  Combined response rate (%)
ages 12 to 19
Males 49.0
Females 46.8
ages 20 to 39
Males 47.5
Females 47.1
ages 40 to 59
Males 49.4
Females 50.2
ages 60 to 79
Males 51.1
Females 47.3
Table 7
Combined response rate (%) – Activity monitor subsample
Table summary
This table displays the results of Combined response rate (%) – Activity monitor subsample Combined response rate (%) – Activity monitor subsample (appearing as column headers).
  Combined response rate (%)
ages 3 to 5
Both sexes 40.7
ages 6 to 11
Males 43.9
Females 41.1
ages 12 to 17
Males 35.7
Females 35.9
ages 18 to 39
Males 32.4
Females 34.3
ages 40 to 59
Males 41.2
Females 44.6
ages 60 to 79
Males 39.8
Females 37.7
Table 8
Combined response rate (%) – Blood acrylamide subsample
Table summary
This table displays the results of Combined response rate (%) – Blood acrylamide subsample Combined response rate (%) – Blood acrylamide subsample (appearing as column headers).
  Combined response rate (%)
ages 3 to 5
Both sexes 47.7
ages 6 to 11
Males 49.3
Females 48.3
ages 12 to 19
Males 53.6
Females 50.7
ages 20 to 39
Males 50.6
Females 53.2
ages 40 to 59
Males 52.2
Females 55.5
ages 60 to 79
Males 53.6
Females 50.1
Table 9
Combined response rate (%) – Methyl mercury subsample
Table summary
This table displays the results of Combined response rate (%) – Methyl mercury subsample Combined response rate (%) – Methyl mercury subsample (appearing as column headers).
  Combined response rate (%)
ages 20 to 39
Males 47.9
Females 51.8
ages 40 to 59
Males 52.5
Females 54.9
ages 60 to 79
Males 53.5
Females 51.2
Table 10
Combined response rate (%) – Urine environmental contaminants subsample
Table summary
This table displays the results of Combined response rate (%) – Urine environmental contaminants subsample Combined response rate (%) – Urine environmental contaminants subsample (appearing as column headers).
  Combined response rate (%)
ages 3 to 5
Both sexes 50.8
ages 6 to 11
Males 54.1
Females 53.0
ages 12 to 19
Males 54.6
Females 52.0
ages 20 to 39
Males 50.4
Females 51.6
ages 40 to 59
Males 52.0
Females 55.2
ages 60 to 79
Males 53.8
Females 51.0

Number and proportion of payroll employees in finance and insurance, and real estate and rental and leasing sectors, Canada, 1961 to 2016

Graph: Number and proportion of payroll employees in finance and insurance, and real estate and rental and leasing sectors, Canada, 1961 to 2016
Data table for the graph
Number and proportion of payroll employees in finance and insurance, and real estate and rental and leasing sectors, Canada, 1961 to 2016
  Number of payroll employees
(thousands)
Proportion of payroll employees
(%)
1961 196.2 4.2
1962 207.5 4.2
1963 220.0 4.3
1964 231.8 4.3
1965 240.6 4.3
1966 248.7 4.2
1967 265.7 4.4
1968 282.7 4.5
1969 299.6 4.6
1970 305.8 4.6
1971 316.4 4.7
1972 342.8 4.9
1973 373.3 5.0
1974 405.5 5.2
1975 423.2 5.4
1976 434.4 5.4
1977 472.1 5.7
1978 488.2 5.8
1979 502.4 5.8
1980 517.2 5.8
1981 533.1 5.8
1982 534.7 6.0
1983 582.7 6.3
1984 602.2 6.3
1985 617.9 6.3
1986 647.8 6.4
1987 675.4 6.4
1988 719.0 6.6
1989 733.1 6.5
1990 737.4 6.5
1991 722.3 6.7
1992 700.1 6.7
1993 688.0 6.6
1994 670.5 6.3
1995 670.0 6.2
1996 679.9 6.2
1997 704.2 6.3
1998 718.5 6.3
1999 723.1 6.2
2000 734.5 6.1
2001 760.3 5.9
2002 786.0 6.0
2003 792.3 5.9
2004 808.6 5.9
2005 833.0 6.0
2006 863.0 6.0
2007 893.2 6.1
2008 923.2 6.2
2009 922.6 6.3
2010 934.3 6.3
2011 939.3 6.3
2012 948.9 6.2
2013 967.8 6.3
2014 985.1 6.3
2015 999.7 6.3
2016 1013.9 6.4

Notes: Data covering the period 1961 to 1982 use annual averages of monthly estimates unadjusted for seasonality. Data from 1983 to 2000 use the Standard Industrial Classification (SIC) 1980, while data from 2001 to 2016 use the 2012 North American Industry Classification System (NAICS). Data from 1961 to 2000 refer to the finance, insurance and real estate industries sector, while data from 2001 to 2016 represent the combination of the finance and insurance, and real estate and rental and leasing sectors. Unclassified businesses are excluded from the total when calculating the proportion of employees from 1961 to 2000, while they are included in the calculation from 2001 to 2016. The estimate for 2001 was imputed as an average of 2000 and 2002.

Sources: CANSIM tables 281-0015 (data from 1961 to 1982), 281-0005 (data from 1983 to 2000), and 281-0024 (data from 2001 to 2016).

Monthly Survey of Food Services and Drinking Places: CVs for Total Sales by Geography - October 2016 to October 2017

CVs for Total Sales by Geography
Table summary
This table displays the results of CVs for Total Sales by Geography. The information is grouped by Geography (appearing as row headers), Month, 201610, 201611, 201612, 201701, 201702, 201703, 201704, 201705, 201706, 201707, 201708, 201709 and 2017010 calculated using percentage units of measure (appearing as column headers).
Geography Month
201610 201611 201612 201701 201702 201703 201704 201705 201706 201707 201708 201709 201710
percentage
Canada 0.57 0.57 0.6 0.68 0.65 0.63 0.67 0.69 0.68 0.75 0.69 0.66 0.67
Newfoundland and Labrador 1.28 1.14 1.25 1.66 1.39 1.66 1.31 1.66 1.46 2.13 1.59 1.2 1.23
Prince Edward Island 3.11 2.79 3.53 3.73 3.89 3.58 2.88 2.56 2.69 7.93 4.65 5.42 3.37
Nova Scotia 2.96 2.94 2.86 3.09 2.93 3.18 2.45 2.7 3.17 5.3 4.72 3.35 3.19
New Brunswick 2.05 1.76 1.25 1.99 3.83 1.51 1.2 1 1.61 1.99 1.08 1.59 1.43
Québec 1.21 1.28 1.33 1.54 1.36 1.09 1.4 1.54 1.49 1.9 1.78 1.72 1.71
Ontario 1.06 1.05 1.07 1.18 1.17 1.15 1.24 1.25 1.26 1.31 1.17 1.09 1.19
Manitoba 1.68 1.46 1.98 2.29 1.75 1.81 1.88 1.94 2.06 1.82 1.46 2.04 1.92
Saskatchewan 1.59 1.4 1.58 1.75 1.98 1.94 2.02 1.63 1.8 1.22 1.38 1.29 1.44
Alberta 1.07 0.88 0.96 1.25 1.14 1.16 1.15 1.16 1.03 1.13 1.22 1.35 1.21
British Columbia 1.59 1.64 1.92 2.14 1.93 2.03 1.96 2.04 1.98 2.03 2 1.92 1.86
Yukon Territory 3.16 2.41 3.22 3.68 4.1 3.46 1.87 3.47 3.4 3.19 4.01 3.87 3.91
Northwest Territories 0.26 0.29 0.34 0.64 0.36 0.33 0.48 0.51 0.52 0.59 0.71 0.75 0.76
Nunavut 0 0 0 0 0 0 0 0 0 0 0 0 0

Canada's National Economic Accounts
Key Concepts - The Framework

Catalogue Number: 13H0002

Release date: February 1, 2018
Canada's National Economic Accounts: Key Concepts - The Framework - Transcript

Slide 1

Canada's National Economic Accounts Key Concepts – The Framework

Slide 2

Welcome to the Statistics Canada Training Institute. Today, we will explore Canada's National Economic Accounts. This lecture will focus on the overall framework that constitutes Canada's National Economic Accounts. We will discuss why a framework is needed and which framework Statistics Canada uses to report on the structure and evolution of Canada's economy.

Slide 3

You got up this morning, took a shower, ate breakfast, made the children's lunch, shovelled the driveway, caught the bus to work, made a few calls, stopped for a coffee and arrived just in time for your 9 a.m. meeting.

Slide 4

Most activities are "the economy," and it is complex with approximately:

  • 35,000,000 Canadians in 11,000,000 families.
  • 4,000,000 enterprises, from smallest to largest.
  • 5,000 public administrations.
  • Thousands of non-profit organizations.
  • A complex network exchanging billions of dollars' worth of goods and services, and assets in the trillions of dollars.

Most of the things we do each day need to be included in our measure of the economy.

Slide 5

Measuring the economy is a complex task. How can we transform the millions and millions of daily transactions in a meaningful way? It is simply not good enough that Statistics Canada reports that the economy is doing better this quarter than last quarter. Governments, businesses and Canadians expect a precise measure. They want to know if the economy grew by 0.2% or 0.5% because believe it or not, in economic terms that is a big difference.

Where do we start and how do we meet Canadians expectations for precise measure?

Slide 6

Thankfully, the economists at Statistics Canada have economic accounting frameworks, which allow them to transform all of the millions and millions of transactions that occur each day into meaningful information. Much the same way an accountant transforms all of the transactions of a business into an income statement and balance sheet, the economists at Statistics Canada transform economic transactions into statements about national income, expenditure and wealth.

Slide 7

Canada is not alone in its desire to provide governments, businesses and its citizens with timely information about the performance of the national economy. Most countries throughout the world provide aggregate measures of economic performance. Because of this, all countries have united to develop an international national economic accounting manual called: the System of National Accounts 2008, or, the National Accounting Framework.

Slide 8

The 2008 SNA answers the questions: What is "the economy" and how is it "doing" by defining the…

  • Concepts and Definitions
  • Accounting Rules
  • Accounts and their sequence; and,
  • Classification Systems

…required to make sense of the millions and millions of transactions that take place each day.

Slide 9

The next few slides attempt to provide you with answers to everything you ever wanted to know about macroeconomic accounting frameworks.

So, let's start with the most basic question: Why is it called National Accounts?

  • A more appropriate name is probably National Economic Accounts. Simply put, the National Economic Accounts are a series of accounts that record and present aggregate (national or country-level) economic activity. Each account provides a unique perspective on the national economy, whether it relates to production, income, investment, financing or wealth.

Slide 10

Are there provincial and territorial national accounts?

  • Yes, Canada is one of the only countries in the world that produces a set of regional economic accounts. We refer to them as the Provincial and Territorial Economic Accounts. They are constructed using the same framework as the National Economic Accounts.

Slide 11

Why is it referred to as a system?

  • It is referred to as a system because it represents a set of interrelated accounts. Each account tells its own story, and each story is connected together to provide Canadians with a complete picture of the economy.

Slide 12

Who wrote the System of National Accounts?

  • The 2008 System of National Accounts is an international macroeconomic accounting standard. The accounting standard is approved by the United Nations as the official worldwide standard. All countries are expected to follow the standard, ensuring that key macroeconomic measures are compatible across countries.
  • The 2008 SNA is currently governed by the United Nations, the Organisation for Economic Development, the International Monetary Fund, the World Bank, and Eurostat.

Slide 13

What role did Canada play in the development of the System of National Accounts?

  • Canada is a member of the 2008 SNA expert advisory group. The role of the advisory expert group is to provide expert advice on the interpretation and updates to the 2008 SNA.
  • The first iteration of the system of national accounts was written in 1953 under the responsibility of the American economist Richard Stone. Canadians George Luxton and Agatha Chapman, who worked at the Dominion Bureau of Statistics, were key contributors.

Slide 14

How often is the System of National Accounts updated?

  • The SNA was first published in 1953. There have been three major updates since that time. One in 1968, one in 1993, and the most recent in 2008.

Slide 15

Why is the System of National Accounts updated?

  • The economy is continuously evolving. The accounting standard used to describe the structure and evolution of the economy must also evolve.

Slide 16

So, what are the key takeaways from this lesson?

  • Canada's National Economic Accounts are produced according to the International Macroeconomic Accounting Manual—the 2008 System of National Accounts.
  • The 2008 SNA outlines the concepts, classifications, and methods required to transform the millions of economic transactions that occur each day into useful information for Canadians.
  • The framework is periodically updated, as are Canada's National Economic Accounts, to ensure they remain relevant for Canadians.

Slide 17

For comments and questions, please contact infostats@statcan.gc.ca.

For more information, consult the following publications and manuals:

  • Latest Development in the Canadian Economic Accounts
  • User Guide: Canadian System of Macroeconomic Accounts
  • Methodological Guide: Canadian System of Macroeconomic Accounts

International Travel Survey: C.V.s for Total Spending Estimates - ITS Q2 2017

C.V. Results for ITS Q2 2017, Total Spending ($000,000)
Table summary
This table displays the results of C.V. Results for ITS Q2 2017. The information is grouped by Province (appearing as row headers), Total CanadianSpending (000,000), Canadian Spending C.V., Total Visitor Spending (000,000) and Visitor Spending C.V., calculated using $ and % units of measure (appearing as column headers).
Province Total Canadian Spending (000,000) Canadian Spending C.V. Total Visitor Spending (000,000) Visitor Spending C.V.
$ % $ %
Newfoundland and Labrador 119 20.4 1 41.9
Prince Edward Island 6 69.9 0 0.0
Nova Scotia 257 13.1 68 8.4
New Brunswick 299 11.2 42 9.3
Quebec 2,542 3.9 811 5.2
Ontario 4,870 2.6 2,482 2.6
Manitoba 204 11.3 67 18.3
Saskatchewan 112 16.1 27 29.9
Alberta 1,308 5.5 343 7.3
British Columbia 2,346 3.8 1,827 3.2
Yukon 3 38.3 44 11.3
Canada 12,066 1.4 5,712 1.8

Retail Trade Survey (Monthly) - October 2017: CVs for Total sales by geography

CVs for Total sales by Geography
Table summary
This table displays the results of CVs for Total sales by Geography. The information is grouped by Geography (appearing as row headers), Month, 201710 and % (appearing as column headers).
Geography Month
201710
%
Canada 0.51
Newfoundland and Labrador 1.52
Prince Edward Island 1.87
Nova Scotia 1.51
New Brunswick 1.33
Québec 0.98
Ontario 1.04
Manitoba 1.36
Saskatchewan 1.84
Alberta 1.13
British Columbia 1.29
Yukon Territory 0.47
Northwest Territories 0.63
Nunavut 1.04

Response Rates for TSRC 2016

Response Rates for TSRC 2016
Table summary
This table displays the results of Response Rates for TSRC 2016. The information is grouped by Province (appearing as row headers), Overall response rate (appearing as column headers).
Province Overall response rate
%
Newfoundland and Labrador 75.3
Prince Edward Island 78.3
Nova Scotia 78.5
New Brunswick 77.2
Quebec 78.2
Ontario 74.0
Manitoba 77.5
Saskatchewan 77.5
Alberta 74.6
British Columbia 73.0
Canada 75.9

C.V. Results for TSRC Q1 2017

C.V. Results for TSRC Q1 2017
Table summary
This table displays the results of C.V. Results for TSRC Q1 2017. The information is grouped by Province (appearing as row headers), Total Spending C.V. and Person-Trips C.V. (appearing as column headers).
Province Total Spending C.V. Person-Trips C.V.
%
Newfoundland and Labrador 14.3 10.7
Prince Edward Island 20.1 13.6
Nova Scotia 10.0 7.7
New Brunswick 9.7 8.4
Quebec 7.4 5.3
Ontario 5.4 4.4
Manitoba 13.3 7.8
Saskatchewan 10.4 7.4
Alberta 8.8 6.4
British Columbia 9.9 6.7
Canada 3.3 2.6

Sample Sizes by Province for TSRC 2016

Sample Sizes by Province for TSRC 2016
Table summary
This table displays the results of Sample Sizes by Province for TSRC 2016. The information is grouped by Province (appearing as row headers), LFS Selected Household, TSRC Eligible Household and TSRC Responding Household (appearing as column headers).
Province LFS Selected Household TSRC Eligible Household TSRC Responding Household
Newfoundland and Labrador 3,817 3,670 2,873
Prince Edward Island 2,727 2,676 2,135
Nova Scotia 5,933 5,734 4,655
New Brunswick 5,426 5,301 4,190
Quebec 19,663 19,172 15,385
Ontario 27,551 25,822 20,401
Manitoba 9,433 9,169 7,310
Saskatchewan 7,725 7,471 5,984
Alberta 10,525 10,138 7,850
British Columbia 12,249 11,734 8,936
Canada 105,049 100,887 79,719