Retail and wholesale
Key indicators
Selected geographical area: Canada
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$67.6 billion0.0%(monthly change)
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Wholesale sales (excluding petroleum, petroleum products, and other hydrocarbons and excluding oilseed and grain) - Canada
(November 2024)$83.7 billion-0.2%(monthly change)
More retail and wholesale indicators
Selected geographical area: Canada
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$1,519.0 billion-4.3%(annual change)
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38.4 billion14.8%(year-over-year change)
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$815.5 billion
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$63.7 billion
Results
All (255)
All (255) (0 to 10 of 255 results)
- Table: 20-10-0005-01Frequency: MonthlyDescription:
Historical (real-time) releases of wholesale sales, price and volume, by North American Industry Classification System (NAICS). Data is seasonally adjusted and available on a monthly basis in dollars x 1,000,000.
Release date: 2025-01-27 - Table: 20-10-0020-01Geography: CanadaFrequency: MonthlyDescription:
Historical releases of wholesale trade inventories, available for all members under release, adjustments and North American Industry Classification System (NAICS) dimensions, available on a monthly basis, for Canada, in dollars x 1,000.
Release date: 2025-01-27 - Stats in brief: 11-001-X20250233660Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2025-01-23
- Table: 20-10-0056-01Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area partFrequency: MonthlyDescription:
Retail trade, sales, Canada, provinces, territories and specific Census Metropolitan Areas based on the North American Industry Classification System (NAICS), monthly.
Release date: 2025-01-23 - Table: 20-10-0056-02Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area partFrequency: MonthlyDescription:
Retail Trade, sales by industries based on North American Industry Classification System (NAICS), monthly.
Release date: 2025-01-23 - Table: 20-10-0056-03Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area partFrequency: MonthlyDescription:
Retail Trade, e-commerce sales, Canada, by industries based on North American Industry Classification System (NAICS), monthly.
Release date: 2025-01-23 - Table: 20-10-0056-04Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area partFrequency: MonthlyDescription:
Retail trade sales figures for the motor vehicle and parts dealers industry. Data are available on a monthly basis for Canada and provinces, in dollars x 1,000.
Release date: 2025-01-23 - Table: 20-10-0067-01Geography: CanadaFrequency: MonthlyDescription:
Retail trade sales, price, and volume, for Canada, includes all members under North American Industry Classification System. Data is seasonally adjusted, available on a monthly basis in dollars x 1,000,000.
Release date: 2025-01-23 - 9. Monthly retail sales of motor vehicle and parts dealers at 2017 constant prices, seasonally adjustedTable: 20-10-0067-02Geography: CanadaFrequency: MonthlyDescription: Retail trade sales, price, and volume for motor vehicle and parts dealers. Data are seasonally adjusted, available on a monthly basis for Canada, in dollars x 1,000,000.Release date: 2025-01-23
- Stats in brief: 11-001-X20250153647Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2025-01-15
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Data (146)
Data (146) (30 to 40 of 146 results)
- Table: 18-10-0277-01Geography: CanadaFrequency: MonthlyDescription: Wholesale services price index (WSPI) measures monthly margin price movement for Canadian merchant wholesalers, classified according to the North American Industry Classification System (NAICS). Data not seasonally adjusted. Index, 2020=100.Release date: 2024-12-17
- Table: 18-10-0278-01Geography: CanadaFrequency: QuarterlyDescription: Wholesale services price index (WSPI) measures quarterly margin price movement for Canadian merchant wholesalers, classified according to the North American Industry Classification System (NAICS). Data not seasonally adjusted. Index, 2020=100.Release date: 2024-12-17
- Table: 20-10-0024-01Geography: Canada, Province or territoryFrequency: QuarterlyDescription: Quarterly data on new motor vehicle registration by fuel type, vehicle type and number of vehicles, for Canada and provinces.Release date: 2024-12-12
- Table: 20-10-0024-02Geography: Canada, Province or territoryFrequency: QuarterlyDescription: Annual sum of the quarterly data on new motor vehicle registration by fuel type, vehicle type and number of vehicles, for Canada and provinces.Release date: 2024-12-12
- Table: 20-10-0025-01Geography: Canada, Province or territory, Census subdivision, Census metropolitan area, Census agglomeration, Census metropolitan area part, Census agglomeration partFrequency: QuarterlyDescription: Quarterly data on zero-emission vehicle registration by fuel type, vehicle type and number of vehicles, Canada, the provinces, census metropolitan areas and census sub-divisions.Release date: 2024-12-12
- Table: 20-10-0019-01Geography: Canada, Province or territoryFrequency: MonthlyDescription:
Historical releases of wholesale trade sales, available for all members under release and adjustment dimensions, for Canada, provinces and territories, available on a monthly basis in dollars x 1,000.
Release date: 2024-10-28 - Table: 33-10-0180-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
Product innovators' average percentage of sales that came from products that were new to one of the business's markets, new only to the business, and unchanged or marginally modified in three years, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).
Release date: 2024-09-27 - Table: 33-10-0210-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
Total value (x 1,000,000) of businesses’ sales, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).
Release date: 2024-09-27 - Table: 33-10-0211-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
Total value (x 1,000,000) of businesses’ sales that were made in Canada, the United States of America, Mexico, other Latin American and Caribbean countries, Europe, China, other Asian countries or all other countries, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).
Release date: 2024-09-27 - Table: 33-10-0212-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
Total value (x 1,000,000) of businesses’ sales from goods and from services that were made in Canada, the United States of America, Mexico, other Latin American and Caribbean countries, Europe, China, other Asian countries or all other countries, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).
Release date: 2024-09-27
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Analysis (79)
Analysis (79) (70 to 80 of 79 results)
- 71. Christmas: Consumers' Season ArchivedArticles and reports: 11-621-M2003007Geography: CanadaDescription:
Consumers buy more in December than in any other month of the year. Consumers rush to get gifts for the Christmas season while retailers rely on this period to register a high proportion of their yearly sales. The most popular stores at Christmas time are jewellery, music, toy, book, clothing, and general merchandise stores. This article examines monthly and quarterly retail sales to show the importance of Christmas for consumers and retailers.
Release date: 2003-12-11 - 72. A New Look: Retail Clothing Sales in Canada ArchivedArticles and reports: 11-621-M2003006Geography: CanadaDescription:
This article looks at trends in the Canadian retail clothing industry from 1997 to 2002. Findings include the following: there is a growing market share of unisex clothing stores at the expense of specialized men's and women's clothing stores, most clothing spending is for women's wear and there exists a similarity between men's and women's buying patterns. The information is based on data from the Monthly Retail Trade Survey and the Quarterly Retail Commodity Survey.
Release date: 2003-11-12 - 73. Canada E-Book ArchivedJournals and periodicals: 11-404-XGeography: CanadaDescription:
The Canada e-Book is an online version of the Canada Year Book with texts, tables, charts and audio clips that present the country's economic and social trends. The Canada e-Book illustrates Canada and Canadians under four broad headings: The Land, The People, The Economy, and The State. You will find a wealth of information on topics including the human imprint on the environment, population and demography, health, education, household and family life, labour force, arts and leisure, industries, finance, government and justice. All Canadians will enjoy this useful reference that helps explain the social, economic and cultural forces that shape our nation.
Release date: 2003-05-26 - 74. Provincial Trade Patterns ArchivedArticles and reports: 21-601-M2002058Description:
This paper looks at patterns in interprovincial and international trade by province for the time period 1990 to 1996.
Release date: 2002-10-28 - Articles and reports: 21-601-M2002056Description:
This paper examines the food-retailing sector of the Canadian economy for the period 1990 to 1998, using profitability as a measure of performance.
Release date: 2002-09-20 - Articles and reports: 21-004-X20010095953Geography: CanadaDescription:
Food manufacturers, wholesalers and retailers have managed to sustain reasonable returns during the 1990s despite the challenges posed by the advent of free trade agreements and the changing eating habits of the population. This article looks at the returns on investment for businesses operating in the domestic food sector during the 1990s.
Release date: 2001-10-12 - 77. Specialized Big-box Stores ArchivedArticles and reports: 63F0002X2000029Description:
Among the many changes in retail trade over the past century is the relatively recent emergence and expansion of big-box stores. This study determines what share of the total chain-store market has been accounted for by big-box stores in recent years in terms of sales, floor space and number of locations. It also compares the effectiveness of big-box stores to other stores, using median sales per square foot as an indicator.
Release date: 2000-01-28 - 78. Specialized big-box stores ArchivedArticles and reports: 63-016-X19990024720Geography: CanadaDescription:
This study has two goals. The first is to determine what share of the total chain-store market big-box stores have carved out for themselves in recent years - in terms of numbers and locations, sales and floor space. This information is useful for those concerned with changing market structures, as well as for the general public. Secondly, the "effectiveness" of big-box stores is then compared with that of other stores.
Release date: 1999-10-13 - 79. Toward variances for X-11 seasonal adjustments ArchivedArticles and reports: 12-001-X19990014709Description:
We develop an approach to estimating variances for X-11 seasonal adjustments that recognizes the effects of sampling error and errors from forecast extension. In our approach, seasonal adjustment error in the central values of a sufficiently long series results only from the effect of the X-11 filtering on the sampling errors. Towards either end of the series, we also recognize the contribution to seasonal adjustment error from forecast and backcast errors. We extend the approach to produce variances of errors in X-11 trend estimates, and to recognize error in estimation of regression coefficients used to model, e.g., calendar effects. In empirical results, the contribution of sampling error often dominated the seasonal adjustment variances. Trend estimate variances, however, showed large increases at the ends of series due to the effects of fore/backcast error. Nonstationarities in the sampling errors produced striking patterns in the seasonal adjustment and trend estimate variances.
Release date: 1999-10-08
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Reference (19)
Reference (19) (10 to 20 of 19 results)
- Surveys and statistical programs – Documentation: 2422Description: The survey is designed to provide annual estimates of retail sales, inventories, purchases, employees earnings and location data. This is a survey of Canadian retail business firms with sales and receipts over certain thresholds. The sales data are provided by kind of business and by province and territory.
- Surveys and statistical programs – Documentation: 2433Description: The Annual Wholesale and Retail Trade Survey (AWRTS) collects data from a sample of wholesalers and independent retailers on their operating revenues and expenditures by trade group at national and provincial or territorial levels. This information is required by all levels of government to develop national and regional economic programs and policies and is used by businesses, trade associations and others to assist in decision making, marketing efforts and to assess business conditions. Data on retail chain and department store organizations are collected from the Annual Retail Chain and Department Store Survey (survey #2447). Data on non-store retail activity on an annual basis are collected from the Survey of Automotive Vending Machine Operators (survey #2404, last conducted for the 1996 reference year) and from Survey of Direct Selling in Canada (survey #2405, last conducted for the 1997 reference year).
- Surveys and statistical programs – Documentation: 2445Description: This survey collects the financial and operating data needed to develop national and regional economic policies and programs.
- Surveys and statistical programs – Documentation: 2446Description: The purpose of this survey is to collect the financial and operating/production data needed to develop national and regional economic policies and programs.
- Surveys and statistical programs – Documentation: 2447Description: This survey collects the financial and operating data needed to develop national and regional economic policies and programs.
- Surveys and statistical programs – Documentation: 2448Description: This survey collects the financial and operating data needed to develop national and regional economic policies and programs.
- Surveys and statistical programs – Documentation: 5027Description: The Monthly Survey of Large Retailers (LMR) provides a breakdown of national retail sales on the basis of commodities for a panel of about 70 large retail enterprises. Unadjusted sales data for more than 140 commodities are available on a monthly basis.
- Surveys and statistical programs – Documentation: 5061Description: Note: As of the 2008 reference year, these data are collected through the Annual Wholesale Trade Survey (record #2445). The wholesale trade sector comprises establishments primarily engaged in wholesaling merchandise and providing related logistics, marketing and support services. The wholesale process is generally an intermediate step in the distribution of merchandise; many wholesalers are therefore organized to sell merchandise in large quantities to retailers, and business and institutional clients. However, some wholesalers, in particular those that supply non-consumer capital goods, sell merchandise in single units to final users. In recent years, there has been a growing need for better inter-provincial/territorial detail and more commodity-specific information, largely due to free trade, increased international marketing and increased global competition. There are a variety of organizations, sector associations and levels of government who make use of the information provided. Wholesalers can use survey results to compare their financial performance against the average for similar types of businesses as well as for marketing purposes, to help determine market share and help to examine trends in sources and destination of goods. Wholesale associations are better able to monitor industry growth and promote their wholesale industries. Investors may be better able to monitor industry performance, which could result in better access to investment capital by wholesalers. Governments will be better able to understand the role of wholesalers in the economy, which will aid in the development of labour force policies and tax incentives. The data is an important input to the provincial trade flows and the generation of balanced provincial input-output tables and the articulation of provincial Gross Domestic Product (GDP).
- Surveys and statistical programs – Documentation: 5205Description: The objective of the survey is to collect information on the Ontario First Nations point-of-sale exemption.
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