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All (9)
All (9) ((9 results))
- Articles and reports: 62F0014M2024004Description: This paper describes the composition of the Consumer Price Index (CPI) basket and the changes introduced with the 2024 basket update, based on 2023 expenditure weights.Release date: 2024-06-18
- Articles and reports: 62F0014M2023007Description: This article is an overview of the treatment of Shelter in the Canadian Consumer Price Index (CPI). It describes the concepts and methodologies related to the construction of that component and briefly discusses considerations to be taken into account when using the estimates.Release date: 2023-12-19
- Stats in brief: 11-627-M2023062Description: This infographic details the food supply chain by focusing on the price movements for wheat-based food products in 2023 and the costs to move food products from producers to consumers. Since March 2022, some costs along the supply chain have declined while others remained elevated. Prices for bread, pasta and cereal at the grocery store continued to increase in 2023 but at a slower pace compared with 2022.Release date: 2023-11-17
- Articles and reports: 62F0014M2023003Description: This paper describes the composition of the Consumer Price Index (CPI) basket and the changes introduced with the 2023 basket update, based on 2022 expenditure weights.Release date: 2023-06-20
- 5. The rise in prices for wheat-based food products ArchivedStats in brief: 11-627-M2022068Description: This infographic details the food supply chain by focusing on the price movements for wheat-based food products in March 2022, and the costs to move food products from producers to consumers.Release date: 2022-11-16
- Articles and reports: 62F0014M2022010Description: In 2021, Canada recorded its highest annual increase in the Consumer Price Index (CPI) since 1991, as global supply-chains felt the repercussions of the COVID-19 pandemic, transportation and supply disruptions, and rebounding energy prices – all alongside the effects of the climate crisis.
This analysis uses price data from the Industrial Product Price Index (IPPI), the Wholesale Services Price Index (WSPI), the Retail Services Price Index (RSPI), and the CPI to detail how manufacturers price movement works it way through the supply-chain to ultimately inform the price consumers pay for beef.
Release date: 2022-09-02 - Stats in brief: 11-627-M2022016Description:
This infographic explains the steps involved in collecting data for all Statistics Canada household and business surveys. The responses are compiled, analyzed and used to make important decisions and are kept strictly confidential.
Release date: 2022-02-28 - 8. Consumer Price Index: 2021 in Review ArchivedStats in brief: 11-627-M2022004Description:
This infographic details the annual average consumer inflation in Canada and the regions in 2021 while also examining the noteworthy average commodity movements of the year amid the COVID-19 pandemic.
Release date: 2022-01-19 - 9. Televisions: Quality Changes and Scanner Data ArchivedArticles and reports: 62F0014M2001014Geography: CanadaDescription: This paper is the first in a series of reports examining the possible use of scanner data for constructing price indexes. This case study focuses on televisions and compares their price behaviour taken from current surveying methods with alternative measures obtained from massaging electronic data records on all sales by a retailer over a comparable period. Examination of the price index history for televisions shows that the recognition and adjustment for quality change in the sample and the impact of shifts in purchasing patterns have similar impact on the index numbers. The advantages of scanner data - that they record actual sales and current purchasing patterns - have to be set against the difficulty of recognising quality change. This analysis shows that while there are substantial gains from using scanner data in monitoring and adjusting for purchasing pattern changes, it is difficult to account for quality changes without micro-editing the data. The scanner data set raises statistical issues, largely questions of what aggregation across time, outlets and products should be done, that have to be answered before using it in index estimation. Future analysis will be aimed at resolving these issues.Release date: 2001-06-01
Stats in brief (4)
Stats in brief (4) ((4 results))
- Stats in brief: 11-627-M2023062Description: This infographic details the food supply chain by focusing on the price movements for wheat-based food products in 2023 and the costs to move food products from producers to consumers. Since March 2022, some costs along the supply chain have declined while others remained elevated. Prices for bread, pasta and cereal at the grocery store continued to increase in 2023 but at a slower pace compared with 2022.Release date: 2023-11-17
- 2. The rise in prices for wheat-based food products ArchivedStats in brief: 11-627-M2022068Description: This infographic details the food supply chain by focusing on the price movements for wheat-based food products in March 2022, and the costs to move food products from producers to consumers.Release date: 2022-11-16
- Stats in brief: 11-627-M2022016Description:
This infographic explains the steps involved in collecting data for all Statistics Canada household and business surveys. The responses are compiled, analyzed and used to make important decisions and are kept strictly confidential.
Release date: 2022-02-28 - 4. Consumer Price Index: 2021 in Review ArchivedStats in brief: 11-627-M2022004Description:
This infographic details the annual average consumer inflation in Canada and the regions in 2021 while also examining the noteworthy average commodity movements of the year amid the COVID-19 pandemic.
Release date: 2022-01-19
Articles and reports (5)
Articles and reports (5) ((5 results))
- Articles and reports: 62F0014M2024004Description: This paper describes the composition of the Consumer Price Index (CPI) basket and the changes introduced with the 2024 basket update, based on 2023 expenditure weights.Release date: 2024-06-18
- Articles and reports: 62F0014M2023007Description: This article is an overview of the treatment of Shelter in the Canadian Consumer Price Index (CPI). It describes the concepts and methodologies related to the construction of that component and briefly discusses considerations to be taken into account when using the estimates.Release date: 2023-12-19
- Articles and reports: 62F0014M2023003Description: This paper describes the composition of the Consumer Price Index (CPI) basket and the changes introduced with the 2023 basket update, based on 2022 expenditure weights.Release date: 2023-06-20
- Articles and reports: 62F0014M2022010Description: In 2021, Canada recorded its highest annual increase in the Consumer Price Index (CPI) since 1991, as global supply-chains felt the repercussions of the COVID-19 pandemic, transportation and supply disruptions, and rebounding energy prices – all alongside the effects of the climate crisis.
This analysis uses price data from the Industrial Product Price Index (IPPI), the Wholesale Services Price Index (WSPI), the Retail Services Price Index (RSPI), and the CPI to detail how manufacturers price movement works it way through the supply-chain to ultimately inform the price consumers pay for beef.
Release date: 2022-09-02 - 5. Televisions: Quality Changes and Scanner Data ArchivedArticles and reports: 62F0014M2001014Geography: CanadaDescription: This paper is the first in a series of reports examining the possible use of scanner data for constructing price indexes. This case study focuses on televisions and compares their price behaviour taken from current surveying methods with alternative measures obtained from massaging electronic data records on all sales by a retailer over a comparable period. Examination of the price index history for televisions shows that the recognition and adjustment for quality change in the sample and the impact of shifts in purchasing patterns have similar impact on the index numbers. The advantages of scanner data - that they record actual sales and current purchasing patterns - have to be set against the difficulty of recognising quality change. This analysis shows that while there are substantial gains from using scanner data in monitoring and adjusting for purchasing pattern changes, it is difficult to account for quality changes without micro-editing the data. The scanner data set raises statistical issues, largely questions of what aggregation across time, outlets and products should be done, that have to be answered before using it in index estimation. Future analysis will be aimed at resolving these issues.Release date: 2001-06-01