Consultation calendar – 2013

Date modified:

New Dissemination Model – Navigation and Tables

Archived information

Archived information is provided for reference, research or recordkeeping purposes. It is not subject to the Government of Canada Web Standards and has not been altered or updated since it was archived. Please "contact us" to request a format other than those available.

Consultation objectives

In April 2012, Statistics Canada launched its three-year New Dissemination Model project to modernize the methods and framework for disseminating data on its website. The key objective is to increase coherence, consistency and simplicity in dissemination activities.

Consultations were held in October 2013 to determine whether Statistics Canada website users find the New Dissemination Model's proposed navigation framework, taxonomy and tables structure intuitive and easy to use. Some tasks will be tested on mobile devices or emulators.

Consultation methodology

Statistics Canada conducted usability tests for five redesigned areas of its website. The tests measured participants' task completion success rates and tracked the methods they adopted to complete them. Following the testing, participants were interviewed to document their thought processes while completing each task.

How to get involved

The consultation is now closed.

Individuals who wish to obtain more information or to take part in a consultation may contact Statistics Canada by sending an email to consultations@statcan.gc.ca.

Please note that Statistics Canada selects participants for each consultation to ensure feedback is sought from a representative sample of the target population for the study. Not all applicants will be asked to participate in a given consultation.

Statistics Canada is committed to respecting the privacy of consultation participants. All personal information created, held or collected by the Agency is protected by the Privacy Act. For more information on Statistics Canada's privacy policies, please consult the Privacy notice.

Results

What worked

On the subject landing page, participants liked the organization of information into three categories: Data, Analysis and Methods. The Key statistics tool also worked well. All participants looked for Census information through the Census door on the main menu and for National Household Survey information through the National Household Survey link in the 'Features' section.

For the subject results (All data) page, participants liked that the data was organized into four categories: Tables, Profiles for a community or region, Maps and Datasets. The filter labels Geographic area and Variables tested well, as did the related icons.

Navigating to a simple table worked well for all participants and most of them understood the difference between a simple data table and a dataset. For the dataset or complex table, the 'side by side' prototype proved to be very intuitive with all participants successfully customizing the dataset. Most participants found the geography drop-down menu, the pivot function and the download feature to be intuitive.

Areas for improvement

The subcategories on the left-hand side bar were difficult to read and navigate and the 'All data' link did not test well. In general, the 'Features' box was overlooked or dismissed by most participants as a promotional item.

The filters were overlooked by almost all participants. It was not apparent to them that they could select more than one variable at a time.

While the geography drop-down feature worked well for its intended purpose, it caused some participants confusion during the customization of a simple table task.

In general, participants had difficulty navigating to a specified dataset. In addition, the list of variables in the left-hand side bar of the 'side by side' version was long and difficult to scroll through.

Recommendations

Recommendations to further improve the website included:

  • Revise the subcategory labels of the subject listings on the left-hand side bar to be more concise and list products in pertinent subcategories
  • Relocate the 'Features' box on the subject landing page
  • Move the filters to the left-hand side bar on the subject results page and incorporate the Browse by subject listing as a filter, rather than a navigation tool
  • Conduct further testing on the tables, both side by side and pick list methods, to confirm participant behaviour patterns and success rates.

Statistics Canada thanks participants for their participation in this consultation. Their insights guide the Agency's web development and ensure that the final products meet users' expectations.

Date modified:

Index formulae

Price indexes have been calculated using either a fixed weight formula or the Chain-Laspeyres index formula of the following general type.

Figure 1: Fixed weight

I t =   i = 1 n W i ( p t / 0 ) i

W i = ( P 0 * Q k ) i n i = 1 ( P 0 * Q k ) i   ;   i = 1 n W i = 1.00

The fixed-weight Laspeyres price index I in time t and relative to time base period 0 is given by the summation over all components, that is, i equal to 1 to n, of the relative importance of the i-th component (Wi), times the price relative of the i-th component in time t relative to time base period 0.

The relative importance of the i-th component, Wi, is given by the following; at the numerator: Total Expenditure (P0 times Qk) in period k on the i-th component expressed in base period 0 prices; and the denominator: the summation over all components, i equal to 1 to n, of the Total Expenditure (P0 times Qk) in period k on the i-th component expressed in base period 0 prices.

The summation over all components, i equal to 1 to n, of the relative importance of the i-th component (Wi) is equal to 1.

Figure 2: Chain-Laspeyres Index

I t = n i = 1 I i ( t ) W i ( t 1 ) n i = 1 I i ( t 1 ) W i ( t 1 ) * n i = 1 I i ( t 1 ) W i ( t 2 ) n i = 1 I i ( t 2 ) W i ( t 2 ) * = n i = 1 I i ( t ) W i ( t 1 ) n i = 1 I i ( t 1 ) W i ( t 1 ) * I ( t 1 )

The Chain-Laspeyres price index I in time t is given by multiplication of the following products;

  1. at the numerator: summation over all components, that is, i equal to 1 to n, of the price index I of the i-th component in time t (which may also be calculated in a similar manner to It) times the relative importance W of the i-th component in time (t minus 1); and at the denominator: summation over all components, that is, i equal to 1 to n, of the price index I of the i-th component in time (t minus 1) times the relative importance W of the i-th component in time (t minus 1);
  2. at the numerator: summation over all components, i equal to 1 to n, of the price index I of the i-th component in time (t minus 1) times the relative importance W of the i-th component in time (t minus 2); and at the denominator: summation over all the components, that is i equal to 1 to n, of the price index I of the i-th component in time (t minus 2) times the relative importance W of the i-th component in time (t minus 2);
  3. Price index products analogous to (1) and (2) are formed for more distant periods.

The Chain Laspeyres price index I at time t thus can be simplified to the multiplication of the following two products;

  1. At the numerator; summation over all components, i equal to 1 to n, of the price index I of the i-th component in time (t) times the relative importance W of the i-th component in time (t minus 1); and at the denominator: summation over all components, i equal to 1 to n, of the price index I of the i-th component in time (t minus 1) times the relative importance W of the i-th component in time (t minus 1);
  2. Price Index I at time (t minus 1).

Figure 3: The summation over all components

i = 1 n W i = 1.00

Note in the above that the Chain-Laspeyres index formula is used to reflect the changing relative importance of index components. The above example showing a single level of index aggregation can be extended to two or more levels.

Analysis of the 2011 Consumer Price Index Basket Update

by: Amadou Soumare

Introduction

The Consumer Price Index (CPI) is one of Canada’s most important economic indicators. Its purpose is to measure the changing cost of a basket of goods and services that are typically purchased by Canadians.

With the publication of the February 2013 CPI on March 27, 2013, significant changes to the CPI took effect. Along with a revised weighting pattern, whereby 2009 expenditure weights were replaced by 2011 weights, this release marked the first time the basket weights were revised at a two-year interval. In addition, the new weights were introduced three months earlier than they were at the time of the previous basket update. These changes, combined with other methodological improvements, have enhanced the quality of the CPI.

The Consumer Price Index

The Consumer Price Index (CPI) is an indicator of the changes in consumer prices experienced by the Canadian population. It compares, through time, the cost of a fixed basket of goods and services purchased by consumers.

The Consumer Price Index is of interest to a wide range of users. It is one of the most widely-known, quoted and utilized statistical series in Canada. Consumers, for example, can compare movements in the CPI to changes in their personal income to monitor and evaluate changes in their financial situation. The CPI is used for economic analysis and research on various issues by business analysts and economists. Private and public pension programs, income tax deductions, and some government social payments are adjusted using the CPI. The index is used as a deflator of various economic aggregates to obtain estimates at constant prices. Finally, the CPI is also a tool for setting and monitoring economic policy. For example, the Bank of Canada uses the CPI and special aggregates of the CPI to monitor its monetary policies.

The Consumer Price Index is a weighted average of the price changes of a basket of goods and services that is based on the expenditure of a target populationNote 1 in a certain reference period. Each good or service is considered as an element in a basket representative of consumer spending, and price movements are assigned a basket share that is proportional to the consumption expenditure for which they account. The weights of goods and services are fixed during the life of a given basket. They play an important role in determining the impact of a given product’s price change on the CPI. For example, Canadians spend a much larger share of their total expenditures on rent than on milk. As a result, a 10% price increase in rental rates will have a greater impact on the All-items CPI than a 10% increase in the price of milk.Note 2

The Consumer Price Index classification of goods and services is organized according to a top-down hierarchical structure (see pyramid). At the top of the structure is the All-items CPI, below which are eight major components. The major components are particularly useful for analytical purposes since they provide a valuable indication about the sources of monthly and annual inflation. At the lowest level of this classification system, there are 175 basic aggregates, which are the building blocks of the CPI.Note 3

Figure 1
Description for Figure

The Consumer Price Index classification is organized according to a top-down hierarchal structure, depicted in a pyramid chart with four levels. At the first level, or the top of the pyramid, is the “All-items Consumer Price Index”. Below at the second level of the pyramid are the eight major components which are:

  • Food;
  • Shelter;
  • Household operations, furnishings and equipment;
  • Clothing and footwear;
  • Transportation;
  • Health and personal care;
  • Recreation, education and reading;
  • Alcohol beverages and tobacco products.

At the third level of the pyramid there are “Intermediate level aggregations”.

At the fourth and lowest level of the pyramid there are “175 basic classes”.

Consumers modify their purchasing patterns for several reasons, such as changing prices or the arrival of new products on the market. The basket is updated periodically to reflect these changes. The continuity of the CPI series is maintained by chain linking the corresponding indexes obtained from consecutive baskets. This is done separately for each aggregate series, whether it is defined by a product category or by a geographic area. Data users who would like to reconstruct the indexes, or to derive special-purpose indexes consistent with the CPI methodology, should ensure that they include the step of reproducing CPI linking operations.

The time base of an index is the period in which the index is equal to 100. For the Canadian CPI, the time base is usually a calendar year and is expressed as “index year=100.” The current time base is “index 2002=100.”

Importance of Updating the Consumer Price Index Basket Weights

The Canadian CPI is calculated as the change in the price of a specified basket of goods and services. As a Laspeyres-type price index, it is an index in which quantities of the basket are those of the reference period of the weights.

If the fixed basket of goods and services is kept unchanged for an extensive period of time, it will become out of date or irrelevant. This is due, in part, to the fact that consumption patterns have a tendency to evolve in response to shifts in relative prices. Consumer spending patterns are also influenced by factors such as the variation in the level and distribution of household income, demographics (such as an ageing population) and technological changes. New products can also be introduced and existing ones may be modified or become obsolete. As a result, the basket needs to be revised periodically to reflect change in consumers’ spending patterns. For example, the significant increase of the basket share for internet service access from 0.3% in 2001 to 0.8% in 2011 reflects the growing importance of the internet in the daily lives of Canadians.Note 4

In the past, the basket for the Canadian CPI was updated every four to five years using the most current expenditure data from the Survey of Household Spending (SHS). Starting with the 2011 basket update, the weights of the Canadian CPI are now updated every two years. While there are no rules as to how often a CPI basket should be updated, there is a general consensus among CPI experts that more frequent basket updates are preferred to reflect changing consumer spending.

In addition to the review of the expenditure weights, a basket update is also an opportunity to review and update other aspects of the indexes. These may include, but are not limited to:

  • Changing the product classification to make it more representative of consumer spending and the products and services available for purchase;
  • Reviewing and updating the sample of prices collected;
  • Reviewing some product price index estimation methodologies; and
  • Updating documentation and dissemination products.

Overview of the 2011 Basket Update

As a fixed-basket Laspeyres-type index, the Canadian CPI is subject to an upward bias brought on by product substitutions made by consumers. This occurs because the index uses a fixed quantity basket from a period in the past and consumers in the intervening months and years change their purchasing behaviour in response to relative price changes of products and services in the marketplace. For example, if the price of chicken increases between basket updates, consumers may opt away from chicken and substitute other meats such as beef. In cases such as these, a fixed-quantity index like the Laspeyres-type price index cannot reflect this expenditure change until the basket weights are updated. This can lead to an overstatement of the importance of changes in the price of chicken in the index and, hence, an upward bias. Typically, the longer a fixed set of basket weights is used, the greater this upward bias.

In 2010, Statistics Canada initiated a number of important changes to the Survey of Household Spending (SHS), the main source of weights for the CPI. Before the redesign, the collection of SHS data was done between January and March following the end of each reference year, with an annual recall period for all spending categories. For example, in the first quarter of 2010, an interviewer visited each household surveyed in the sample and collected data pertaining to the family expenditures in the previous calendar year (2009) for food, shelter, health care, etc. This recall period was determined to be too long for respondents to provide reliable spending estimates for some product groups.

The newly redesigned survey (SHS-R) corrects this weakness by relying on a continuous year-long collection process. Each month, a sample of households is interviewed using recall periods of different lengths for different types of products. Significant, infrequent spending, like the purchase of passenger vehicles, continues to use the 12-month recall period. Other expenditure categories, such as clothing, now use a 3-month recall period. Recurring expenses, for example on rent or utilities, are estimated using the last payment. The SHS-R also introduced a two-week diary for the collection of spending on frequent purchases such as food, gasoline, personal care and alcohol. These changes were implemented in the ten provinces. In the Territories, spending information continues to be collected every two years using the older version of SHS.Note 5

As mentioned earlier, another change with this CPI basket update pertains not only to the frequency of updating the contents and weights of the basket, but also to the time taken to complete this exercise. The frequency and speed of these updates together constitute one of six main criteria used by Statistics Canada to measure data quality. The time between the end of the new reference period and the introduction of the updated CPI basket was shortened. For the 2011 basket update, the new weights took effect 14 months after the end of the new reference period compared to 17 months for the previous basket. This, combined with the effect of more frequent basket updates, translates into a better CPI.

No new product classes were added with this CPI basket update. However, the methodologies of both the prescribed medicines index and purchase of passenger vehicles index were updated and improved. New products were introduced to make the prescribed medicine sample more representative.Note 6 The 2011 basket update also marked the introduction of the new CPI purchase of passenger vehicles classification, basket weights and product sample. Many new car models were added to the CPI sample. Moreover, starting April 2013, the new methodology used to calculate the passenger vehicle parts, maintenance and repair index was introduced, adding new series and replacing less representative products and services.Note 7

Analysis of Basket Weights

The table below shows the 2001 to 2011 CPI basket weights for Canada according to the eight major components and certain product groups. Provincial basket shares for the 2009 and 2011 CPI baskets are provided in Appendix A. The basket share of alcoholic beverages and tobacco products fell the most during this period, from 3.3% in 2001 to 2.8% in 2011. The expenditure share for household operations, furnishings and equipment increased the most, from 11.1% to 12.6%. The basket weight of the health and personal care component also went up, increasing from 4.6% to 5.0%. Over the last decade, shelter costs represented the highest expenditure share of baskets (approximately 26%), followed by transportation expenditures (approximately 20%).

Table 1
Consumer Price Index (CPI) Basket Shares by Major Component and Selected product groups, Canada 2001, 2005, 2009 and 2011 CPI Baskets
Table summary
This table displays the results of Consumer Price Index (CPI) Basket Shares by Major Component and Selected product groups. The information is grouped by Major components, selected product groups (appearing as row headers), Basket weight for (appearing as column headers).
Major components, selected product groups Basket weight for
2001 2005 2009 2011
Food 16.8 16.9 16.1 16.4
Food purchased from stores 11.7 11.7 11.2 11.5
Food purchased from restaurants 5.1 5.1 4.8 4.9
Shelter 26.3 25.7 27.5 25.9
Rent 6.1 5.3 6.0 5.8
Mortgage interest cost 5.6 5.2 5.8 4.1
Homeowners’ replacement cost 3.0 3.0 4.1 4.3
Property taxes (including special charges) 3.2 3.3 3.2 3.3
Water, fuel and electricity 4.5 4.7 4.5 4.4
Household operations, furnishings and equipment 11.1 11.4 11.8 12.6
Internet access services and subscriptions to online content providers 0.3 0.5 0.7 0.8
Clothing and footwear 6.0 5.6 5.6 6.2
Transportation 19.4 19.6 19.3 20.1
Purchase of passenger vehicles 7.3 6.4 6.6 6.6
Gasoline 3.9 4.5 4.4 4.9
Health and personal care 4.6 4.8 5.0 5.0
Prescribed medicines 0.6 0.6 0.6 0.9
Personal care 2.4 2.4 2.4 2.0
Recreation, education and reading 12.5 13.0 11.8 11.3
Computer equipment, software and supplies 0.8 0.8 0.7 0.6
Multipurpose digital devices Note ..: not available for a specific reference period Note ..: not available for a specific reference period 0.0 0.1
Home entertainment equipment, parts and services 1.4 1.4 1.3 0.9
Alcoholic beverages and tobacco products 3.3 3.1 3.0 2.8

Changes in basket shares tend to result from evolving social and economic factors. For example, the decreasing importance of cigarettes (down from 1.5% in 2001 to 1.1% in 2011) is reflective of the decline in smoking habits in Canada.Note 8

The important decrease in the share for reading material and other printed material, from 0.7% in 2001 to 0.4% in 2011, was in part attributable to the accessibility to online digital media, which often provided much of the same content at no cost to consumers.

The increasing demand for high-tech goods led to the introduction, in 2009, of a new class for multipurpose digital devices, representing at that time 0.04% of the CPI basket. By 2011, the basket share for this product category had risen to 0.1%, highlighting the continually increasing presence of digital devices such as smartphones and tablet computers in the lives of Canadians.

The ageing Canadian population is likely one of the factors that led to a rise in the importance of medicinal and pharmaceutical products in the CPI basket. The weights for health care goods, for example, grew from 1.0% in 2001 to 1.9% in 2011 as the proportion of the population aged 50 or older reached 34.9%, up from 28.9% in 2001.Note 9

As for the changes between 2009 and 2011, the basket share for food went up from 16.1% to 16.4% as a result of consumers having to pay more for many food products. Food demand is generally less sensitive to price movement than other products.Note 10 This, in part, can explain why food weights didn’t decrease with price increases.

The basket share for shelter was 25.9% in 2011, down from 27.5% in 2009 with all provinces recording a decrease. The basket weight for mortgage interest cost went from 5.8% in 2009 to 4.1% in 2011. This is due in part to the fact that mortgage interest rates decreased significantly during that period. Data from the Canadian Association of Accredited Mortgage Professionals (CAAMP) indicates that in October 2009, households were paying, on average, interest rates of approximately 4.5%, compared to interest rates of approximately 3.9% in the same period in 2011.Note 11,Note 12

An increase was noted in the importance of the household operations, furnishings and equipment component in the 2011 basket. This component reached 12.6% of basket share, up from its previous share of 11.8%. The basket shares for both telephone services and household equipment went up in most provinces.

Clothing and footwear increased to 6.2% of the basket in 2011, up from 5.6% in 2009. In 2011, retail sales of clothing, footwear and accessories reached $36.8 billion, up from $33.8 billion in 2009.Note 13 In the same period, prices for this component decreased 1.6%, suggesting that consumers were taking advantage of low prices to buy more.

The weight for the transportation component went up in most provinces. At the national level, the transportation component reached 20.1% of basket share, up from 19.3% in 2009. Weights for the purchase and leasing of passenger vehicles went down in many provinces.

Between 2009 and 2011, the total share of the health and personal care component remained stable at 5.0%. However, the health care portion showed an increase in most provinces. For Canada as a whole, it reached 2.9% in 2011, up from 2.6% in 2009. This was due, in large part, to spending for medicinal and pharmaceutical products, which accounted for 1.5% of the basket weight in 2011, compared to 1.0% in 2009.

The relative importance of spending for recreation, education and reading declined between 2009 and 2011. Although it represented 11.8% of the basket in 2009, that component’s weight declined to 11.3% in 2011. In most provinces, a decrease in expenditure share for home entertainment, parts and services and those for spectator entertainment was noticed. The basket share of computer equipment and supplies decreased from 0.7% in 2009 to 0.6% in 2011, which was, in part, due to consumers switching from desktop and laptop computers to tablets.

The importance of the alcoholic beverages and tobacco products component in the CPI basket continued to decline in 2011. Alcoholic beverages and tobacco products accounted for 2.8% of expenditures, down from 3.0% in 2009. Alcoholic beverages served in licensed establishments declined significantly in all provinces. However, alcoholic beverages purchased from stores increased in Newfoundland and Labrador, in Prince Edward Island and in Quebec.

Conclusion

The Consumer Price Index (CPI) is Canada’s most well-known measure of consumer inflation. With the 2011 basket update, important changes aimed at improving its quality were introduced. A new practice of updating the basket more frequently and shortening its completion were initiated. Several other methodological improvements were also implemented to significantly enhance the accuracy of the Canadian CPI. These changes, as well as planned enhancements, will ensure the CPI continues to be a reliable indicator of consumer price change.


Notes

  1. The target population of the CPI consists of all Canadian families and individuals living in urban and rural private households.
  2. Statistics Canada. Consumer Price Index, February 2013. The Daily, Catalogue 11-001-X (ISSN 1205-9137). Published March 27, 2013.
  3. Statistics Canada. The May 2011 CPI Basket Update, based on 2009 Expenditures.
  4. In 2010, 75.5% of Canadians accessed the internet from home at least once a day, up from 63.7% in just five years. For details see: Statistics Canada. Canadian Internet Usage Survey, Survey No. 4432. CANSIM table 358-0155. Note that the target population for the survey has changed from individuals 18 years of age and older in 2005 to individuals 16 years of age and older in 2007.
  5. The 2011 Survey of Household Spending (SHS)  was not conducted in the Territories. Basket weights for the Territories were mostly updated using 2009 price updated expenditures.
  6. Statistics Canada. Revision of the Prescribed Medicines Index of the Consumer Price Index (CPI), beginning with the September 2012 CPI.
  7. Statistics Canada. Revision of the Passenger Vehicle Parts, Maintenance and Repair Index of the Consumer Price Index (CPI), beginning with the April 2013 CPI.
  8. Data from Health Canada show a decline in the overall smoking rate among Canadians aged 15 years and older from 22% in 2001 to 17% in 2011. Health Canada, Canadian Tobacco Use Monitoring Survey (CTUMS), 2012.
  9. Statistics Canada. Population by Age and Sex for Canada, Survey No. 3604. CANSIM table 051-0001.
  10. Many studies have found the price elasticity for food demand to be less important than those for other groups of products. For example, research from the United States Department of Agriculture (USDA) used 2005 data to estimate compensated own-price elasticity for nine broad consumption groups in 144 countries. It found the Food, Beverages and Tobacco group to be the less elastic with an own-price elasticity of -0.3, compared to own-price elasticity for other group ranging between -0.6 and -0.8. For details see: United States Department of Agriculture (USDA). International Evidence on Food Consumption Patterns: An update using 2005 International Comparison Program Data. Technical Bulletin No (TB-1929) 59pp, March 2011.
  11. Canadian Association of Accredited Mortgage Professionals (CAAMP).2009 Annual State of the Residential Mortgage Market in Canada, November 2009.
  12. Canadian Association of Accredited Mortgage Professionals (CAAMP).2011 Annual State of the Residential Mortgage Market in Canada, November 2011.
  13. Statistics Canada. Retail Commodity Survey (RCS), Survey No. 2008, CANSIM table 08-0022.
Appendix A
Consumer Price Index (CPI) Basket Shares by Major Component and Selected Product Groups, Provinces, 2009 and 2011 CPI Baskets
Table summary
This table displays the results of Consumer Price Index (CPI) Basket Shares by Major Component and Selected Product Groups. The information is grouped by Major components, selected product groups (appearing as row headers), Newfoundland
and Labrador, Prince Edward Island, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia (appearing as column headers).
Major components, selected product groups N.L. P.E.I. N.S. N.B. Que. Ont. Man. Sask. Alta. B.C.
2009 2011 2009 2011 2009 2011 2009 2011 2009 2011 2009 2011 2009 2011 2009 2011 2009 2011 2009 2011
Food 16.8 16.4 16.6 16.7 16.4 16.5 16.5 16.5 19.2 19.0 14.8 15.0 16.0 16.4 14.6 15.2 15.1 15.6 15.6 16.9
Meat 2.7 2.9 2.0 2.4 2.0 2.1 2.3 2.1 2.5 2.5 1.8 1.9 2.0 2.1 1.7 2.1 1.8 2.0 1.7 1.9
Dairy products and eggs 1.8 1.8 2.3 2.0 2.0 2.0 1.9 1.8 2.2 2.1 1.6 1.6 1.6 1.6 1.6 1.5 1.4 1.6 1.7 1.8
Fruit, fruit preparations and nuts 1.5 1.2 1.5 1.4 1.3 1.3 1.5 1.2 1.6 1.6 1.4 1.2 1.2 1.3 1.1 1.1 1.2 1.3 1.3 1.4
Vegetables and vegetable preparations 1.2 1.3 1.1 1.2 1.1 1.3 1.2 1.2 1.5 1.6 1.1 1.2 1.0 1.1 0.9 1.0 1.1 1.1 1.1 1.3
Shelter 22.0 20.6 26.0 24.0 25.5 24.5 23.0 22.0 25.6 23.6 29.1 27.3 25.1 23.3 24.8 24.2 26.3 26.1 29.8 27.6
Mortgage interest cost 4.1 3.3 4.8 3.4 4.7 3.8 4.5 3.4 4.4 3.4 6.3 4.1 4.9 3.7 4.9 3.6 6.1 5.2 7.3 4.9
Household operations, furnishings and equipment 13.1 13.6 13.3 13.3 12.8 13.9 13.3 13.6 11.1 12.0 12.2 12.9 12.4 12.6 12.2 13.1 11.8 12.2 11.2 12.4
Postal and other communications services 0.2 0.1 0.1 0.2 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2
Internet access services and subscriptions to online content providers 0.8 0.8 0.9 1.0 0.8 0.9 0.8 0.8 0.7 0.8 0.7 0.8 0.8 0.8 0.7 0.7 0.7 0.7 0.6 0.7
Telephone equipment 0.1 0.1 0.1 0.1 0.1 0.2 0.1 0.0 0.1 0.1 0.1 0.1 0.1 0.0 0.1 0.1 0.1 0.1 0.1 0.1
Clothing and footwear 5.9 7.7 5.2 6.6 5.0 5.8 5.1 6.2 5.5 6.3 5.9 6.4 5.6 6.4 5.4 5.8 5.7 6.3 5.2 5.6
Transportation 22.0 22.1 19.3 20.4 20.3 20.8 21.7 23.0 19.7 19.7 19.0 20.3 20.5 22.2 22.3 22.2 20.1 20.8 17.0 17.7
Purchase and leasing of passenger vehicles 10.0 8.8 7.5 7.1 8.7 8.5 9.6 9.9 8.8 8.3 7.0 7.0 8.4 8.4 10.4 10.3 8.7 8.4 5.7 5.8
Parking fees 0.0 0.1 0.1 0.3 0.1 0.2 0.1 0.2 0.1 0.4 0.2 0.4 0.2 0.3 0.1 0.2 0.2 0.3 0.1 0.4
Taxi and other local and commuter transportation services 0.3 0.2 0.1 0.2 0.2 0.2 0.2 0.1 0.1 0.1 0.2 0.1 0.2 0.1 0.1 0.1 0.2 0.2 0.2 0.2
Health and personal care 5.1 4.7 5.6 5.2 4.6 5.2 5.1 5.2 5.3 5.6 4.8 4.7 5.3 4.9 5.1 5.4 4.9 4.6 4.9 5.0
Health care 2.7 2.6 3.0 3.5 2.3 3.2 2.8 3.1 2.8 3.3 2.4 2.7 3.0 3.2 2.7 3.2 2.6 2.8 2.8 3.1
Medicinal and pharmaceutical products 1.3 1.5 1.6 1.9 1.1 1.7 1.2 1.7 1.2 1.5 0.9 1.3 1.5 1.8 1.3 1.8 0.9 1.4 1.1 1.6
Recreation, education and reading 11.1 10.7 10.6 10.2 11.6 10.6 12.2 10.5 10.4 10.3 11.6 11.3 12.1 11.1 12.5 11.5 12.7 11.7 13.4 12.6
Home entertainment equipment, parts and services 1.4 0.9 1.4 0.8 1.3 0.9 1.3 0.9 1.4 0.9 1.3 0.9 1.5 0.9 1.6 0.8 1.4 0.9 1.3 0.8
Travel tours 0.7 0.6 0.6 0.8 0.9 0.9 0.8 0.7 1.2 1.2 1.0 0.9 1.3 0.8 0.9 0.7 0.7 0.9 0.7 0.8
Spectator entertainment (excluding cablevision and satellite services) 0.3 0.2 0.5 0.3 0.4 0.3 0.4 0.2 0.4 0.3 0.5 0.3 0.6 0.5 0.7 0.3 0.6 0.3 0.4 0.4
Alcoholic beverages and tobacco products 3.9 4.2 3.5 3.6 3.8 2.7 3.2 3.0 3.3 3.7 2.6 2.2 3.0 3.2 3.1 2.6 3.3 2.8 3.0 2.4
Alcoholic beverages served in licensed establishments 0.4 0.2 0.5 0.3 0.5 0.3 0.4 0.3 0.5 0.4 0.5 0.4 0.5 0.4 0.6 0.4 0.6 0.5 0.7 0.4
Alcoholic beverages purchased from stores 1.4 1.6 1.1 1.3 1.3 1.0 1.2 1.1 1.4 2.0 1.2 0.9 1.0 1.0 1.1 0.7 1.1 1.0 1.3 1.1

Information

This information is collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.

COMPLETION OF THIS QUESTIONNAIRE IS A LEGAL REQUIREMENT UNDER THIS ACT.

Survey purpose

The purpose of this survey is to collect information on cattle and calves, hogs, and sheep and lambs. The statistics produced from this survey enable those active in the agricultural sector to observe and assess changes in the industry, measure performance and keep the agricultural community and general public informed of the development. Your information may also be used by Statistics Canada for other statistical and research purposes.

Confidentiality

Your answers are confidential.

The Statistics Act protects the confidentiality of information collected by Statistics Canada. Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Statistics Canada will use the information from this survey for statistical purposes.

Data-sharing agreements

To reduce respondent burden, Statistics Canada has entered into data-sharing agreements with provincial and territorial statistical agencies and other government organizations, which have agreed to keep the data confidential and use them only for statistical purposes. Statistics Canada will only share data from this survey with those organizations that have demonstrated a requirement to use the data.

Section 11 of the Statistics Act provides for the sharing of information with provincial and territorial statistical agencies that meet certain conditions. These agencies must have the legislative authority to collect the same information, on a mandatory basis, and the legislation must provide substantially the same provisions for confidentiality and penalties for disclosure of confidential information as the Statistics Act. Because these agencies have the legal authority to compel businesses to provide the same information, consent is not requested and businesses may not object to the sharing of the data.

For this survey, there are Section 11 agreements with the provincial statistical agencies of Newfoundland and Labrador, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia.

The shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.

Section 12 of the Statistics Act provides for the sharing of information with federal, provincial or territorial government organizations. Under Section 12, you may refuse to share your information with any of these organizations by writing a letter of objection to the Chief Statistician and returning it with the completed questionnaire. Please specify the organizations with which you do not want to share your data.

For this survey, there are Section 12 agreements with the Department of Natural Resources, Forestry and Agrifoods Agency of Newfoundland and Labrador, the Prince Edward Island statistical agency, the New Brunswick Agriculture and Aquaculture department, Ontario Ministry of Agriculture, Food and Rural Affairs, the Manitoba Department of Agriculture, Food and Rural Initiatives, the Saskatchewan Ministry of Agriculture and the British Columbia Ministry of Agriculture and Lands.

For agreements with provincial and territorial government organizations, the shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.

Record linkages

To enhance the data from this survey, Statistics Canada may combine it with information from other surveys or from administrative sources.

Fax or e-mail transmission disclosure

Statistics Canada advises you that there could be a risk of disclosure during the transmission of information by facsimile or e-mail. However, upon receipt, Statistics Canada will provide the guaranteed level of protection afforded all information collected under the authority of the Statistics Act.

Instructions

When answering the questions, please include as of January 1, 2014...

... all livestock (cattle or calves, pigs, and/or sheep or lambs) on your operation regardless of ownership, including livestock custom fed, fed under contract for others, and livestock pastured.

... all livestock owned by the operator and held on Crown land, com­munity pastures, and grazing projects.

... Please DO NOT REPORT livestock (cattle or calves, pigs and/or sheep or lambs) which are owned by you but kept on a farm, ranch or feedlot operated by someone else.

Section A. Cattle and/or Calves

1. On January 1, 20XX do you expect to have any cattle or calves on this operation? Include grazing projects, community pastures or Crown land.

  1. Yes
  2. No (Go to Section B)

2. Are cattle or calves kept on this operation for someone else? (If yes include them as part of inventory.)

  1. Yes
  2. No

Inventory Questions - Total Number

3. How many of the following do you expect to have on this operation on January 1, 20XX?

  • i: Bulls, 1 year and over
  • ii: Dairy cows
  • iii: Beef cows
  • iv: Calves, under 1 year
  • v: Heifers, 1 year and over
  • v: a) Dairy replacement heifers (1 year and over)
  • v: b) Beef replacement heifers (1 year and over)
  • v: c) Slaughter or feeder heifers (1 year and over)
  • vi: Steers, 1 year and over

4. What will be the total cattle and/or calves inventory on January 1, 20XX on this operation?
Questions on Production - Total Number

5. On this operation, how many calves were born alive in the last 6 months (between January 1 and June 3X, 20XX)?

6. On this operation, how many cows and heifers do you expect to calve between January 1 and June 3X, 20XX?

SECTION B. PIGS

Inventory

1(a) On January 1, 20XX do you expect to have any pigs on this operation?

  1. a: Yes
  2. b: No Go to Question 1b

1(b) Were there any pigs on this operation during the past six months?

  1. a: Yes Go to Question 6
  2. b: No Go to Section C

2. Total Number
How many of the following do you expect to have on this operation on January 1, 20XX?

  • i: Sows and gilts kept for breeding
  • ii: Boars kept for breeding
  • iii: Suckling pigs
  • iv: Weanlings, nursery, or starter pigs
  • v: Market pigs, 50 pounds and over (23 kg and over)

3. What will be the total pig inventory on January 1, 20XX on this operation?

4. Of the sows and gilts for breeding reported in Question 2i, what percent would have farrowed at least once?

5. Number and Percentage
Of the market pigs reported in Question 2v, what number or percent are in the following three categories? Please report as a number or %

  • i: over 179 pounds (81 kg)
  • ii: between 120 to 179 pounds (54 to 81 kg)
  • iii: under 120 pounds (54 kg)? (Exclude weanling, nursery, or starter pigs)

Farrowings

6. During the last quarter six months how many sows and bred gilts farrowed? If none, go to Question 10

  • i: Quarterly
  • ii: Monthly
  • iii Bi-Weekly
  • iv: Weekly

7. Compared with the last six months, what is the expected percent change to farrowings in:

  • i: January to June 3X, 20XX?
  • ii: Increase
  • iii: Decrease
  • iv: No change

8. On average, how many pigs were born per litter during the last six months?

9.Of the pigs born during the last six months, what percentage died or were destroyed before weaning?

Shipments

10.In the last six months, how many market pigs will this operation have shipped to a slaughter facility? If none, go to Question 12

11.Of those market pigs shipped to slaughter, what number or percent will be shipped to a facility in: Please report as a number or %

  • i: the United States
  • ii: another province
  • iii: within province

12. In the last six months, how many weanling, nursery, or starter pigs will this operation have shipped to another operation for feeding purposes? If none, go to Section D

13. Of those weanling, nursery, or starter pigs shipped for feeding purposes, what number or percent will be shipped to another operation in: Please report as a number or %

  • i: the United States
  • ii: another province
  • iii: within province

Section C. Sheep and/or Lambs

1(a) On January 1, 20XX do you expect to have any sheep or lambs on this operation? Include grazing projects, community pastures or Crown land.

  • a: Yes
  • b: No

1(b)Were there any sheep or lambs kept on this operation between July 1 and December 3X, 20XX?

  • a: Yes (Answer Questions 5, 6 and 7)
  • b: No

2.Are sheep or lambs kept on this operation for someone else? (If yes include them as part of inventory.)

  • a: Yes
  • b: No

Inventory Questions - Total Number

3.How many of the following do you expect to have on this operation on January 1, 20XX?

  • i: Rams, 1 year and over
  • ii: Ewes
  • iii: Replacement lambs
  • iv: Market lambs

4. What will be the total sheep and lambs inventory on January 1, 20XX on this operation?
Questions on production - Total Number

5. On this operation, how many lambs were born in the last 6 months (between July 1 and December 3X, 20XX)?

6. How many sheep and lambs died or will die, including those killed by disease or predators, between July 1 and December 3X, 20XX?

7. On this operation, how many lambs do you expect to be born between January 1 and June 31, 20XX?

Comments:

Information

This information is collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.

COMPLETION OF THIS QUESTIONNAIRE IS A LEGAL REQUIREMENT UNDER THIS ACT.

Survey purpose

The purpose of this survey is to collect information on cattle and calves, hogs, and sheep and lambs. The statistics produced from this survey enable those active in the agricultural sector to observe and assess changes in the industry, measure performance and keep the agricultural community and general public informed of the development. Your information may also be used by Statistics Canada for other statistical and research purposes.

Confidentiality

Your answers are confidential.

The Statistics Act protects the confidentiality of information collected by Statistics Canada. Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Statistics Canada will use the information from this survey for statistical purposes.

Data-sharing agreements

To reduce respondent burden, Statistics Canada has entered into data-sharing agreements with provincial and territorial statistical agencies and other government organizations, which have agreed to keep the data confidential and use them only for statistical purposes. Statistics Canada will only share data from this survey with those organizations that have demonstrated a requirement to use the data.

Section 11 of the Statistics Act provides for the sharing of information with provincial and territorial statistical agencies that meet certain conditions. These agencies must have the legislative authority to collect the same information, on a mandatory basis, and the legislation must provide substantially the same provisions for confidentiality and penalties for disclosure of confidential information as the Statistics Act. Because these agencies have the legal authority to compel businesses to provide the same information, consent is not requested and businesses may not object to the sharing of the data.

For this survey, there are Section 11 agreements with the provincial statistical agencies of Newfoundland and Labrador, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia.

The shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.

Section 12 of the Statistics Act provides for the sharing of information with federal, provincial or territorial government organizations. Under Section 12, you may refuse to share your information with any of these organizations by writing a letter of objection to the Chief Statistician and returning it with the completed questionnaire. Please specify the organizations with which you do not want to share your data.

For this survey, there are Section 12 agreements with the Department of Natural Resources, Forestry and Agrifoods Agency of Newfoundland and Labrador, the Prince Edward Island statistical agency, the New Brunswick Agriculture and Aquaculture department, Ontario Ministry of Agriculture, Food and Rural Affairs, the Manitoba Department of Agriculture, Food and Rural Initiatives, the Saskatchewan Ministry of Agriculture and the British Columbia Ministry of Agriculture and Lands.

For agreements with provincial and territorial government organizations, the shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.

Record linkages

To enhance the data from this survey, Statistics Canada may combine it with information from other surveys or from administrative sources.

Fax or e-mail transmission disclosure

Statistics Canada advises you that there could be a risk of disclosure during the transmission of information by facsimile or e-mail. However, upon receipt, Statistics Canada will provide the guaranteed level of protection afforded all information collected under the authority of the Statistics Act.

Instructions

When answering the questions, please include as of January 1, 2014...

... all livestock (cattle or calves, pigs, and/or sheep or lambs) on your operation regardless of ownership, including livestock custom fed, fed under contract for others, and livestock pastured.

... all livestock owned by the operator and held on Crown land, com­munity pastures, and grazing projects.

... Please DO NOT REPORT livestock (cattle or calves, pigs and/or sheep or lambs) which are owned by you but kept on a farm, ranch or feedlot operated by someone else.

Section A. Cattle and/or Calves

1. On July 1, 20XX do you expect to have any cattle or calves on this operation? Include grazing projects, community pastures or Crown land.

  1. Yes
  2. No (Go to Section B)

2. Are cattle or calves kept on this operation for someone else? (If yes include them as part of inventory.)

  1. Yes
  2. No

Inventory Questions - Total Number

3. How many of the following do you expect to have on this operation on July 1, 20XX?

  • i: Bulls, 1 year and over
  • ii: Dairy cows
  • iii: Beef cows
  • iv: Calves, under 1 year
  • v: Heifers, 1 year and over
  • v: a) Dairy replacement heifers (1 year and over)
  • v: b) Beef replacement heifers (1 year and over)
  • v: c) Slaughter or feeder heifers (1 year and over)
  • vi: Steers, 1 year and over

4. What will be the total cattle and/or calves inventory on July 1, 20XX on this operation?
Questions on Production - Total Number

5. On this operation, how many calves were born alive in the last 6 months (between January 1 and June 3X, 20XX)?

6. On this operation, how many cows and heifers do you expect to calve between July 1 and December 31, 20XX?

Section B. Pigs

Inventory

1(a) On January 1, 20XX do you expect to have any pigs on this operation?

  1. a: Yes
  2. b: No Go to Question 1b

1(b) Were there any pigs on this operation during the past six months?

  1. a: Yes Go to Question 6
  2. b: No Go to Section C

2. Total Number
How many of the following do you expect to have on this operation on July 1, 20XX?

  • i: Sows and gilts kept for breeding
  • ii: Boars kept for breeding
  • iii: Suckling pigs
  • iv: Weanlings, nursery, or starter pigs
  • v: Market pigs, 50 pounds and over (23 kg and over)

3. What will be the total pig inventory on July 1, 20XX on this operation?

4. Of the sows and gilts for breeding reported in Question 2i, what percent would have farrowed at least once?

5. Number and Percentage
Of the market pigs reported in Question 2v, what number or percent are in the following three categories? Please report as a number or %

  • i: over 179 pounds (81 kg)
  • ii: between 120 to 179 pounds (54 to 81 kg)
  • iii: under 120 pounds (54 kg)? (Exclude weanling, nursery, or starter pigs)

Farrowings

6. During the last quarter six months how many sows and bred gilts farrowed? If none, go to Question 10

  • i: Quarterly
  • ii: Monthly
  • iii: Bi-Weekly
  • iv: Weekly

7. Compared with the last six months, what is the expected percent change to farrowings in:

  • i: July and December 20XX?
  • ii: Increase
  • iii: Decrease
  • iv: No change

8. On average, how many pigs were born per litter during the last six months?

9.Of the pigs born during the last six months, what percentage died or were destroyed before weaning?

Shipments

10.In the last six months, how many market pigs will this operation have shipped to a slaughter facility? If none, go to Question 12

11.Of those market pigs shipped to slaughter, what number or percent will be shipped to a facility in: Please report as a number or %

  • i: the United States
  • ii: another province
  • iii: within province

12. In the last six months, how many weanling, nursery, or starter pigs will this operation have shipped to another operation for feeding purposes? If none, go to Section D

13. Of those weanling, nursery, or starter pigs shipped for feeding purposes, what number or percent will be shipped to another operation in: Please report as a number or %

  • i: the United States
  • ii: another province
  • iii: within province

Section C. Sheep and/or Lambs

1(a) On July 1, 20XX do you expect to have any sheep or lambs on this operation? Include grazing projects, community pastures or Crown land.

  • a: Yes
  • b: No

1(b)Were there any sheep or lambs kept on this operation between January 1 and June 3X, 20XX?

  • a: Yes (Answer Questions 5, 6 and 7)
  • b: No

2.Are sheep or lambs kept on this operation for someone else? (If yes include them as part of inventory.)

  • a: Yes
  • b: No

Inventory Questions - Total Number

3.How many of the following do you expect to have on this operation on July 1, 20XX?

  • i: Rams, 1 year and over
  • ii: Ewes
  • iii: Replacement lambs
  • iv: Market lambs

4.What will be the total sheep and lambs inventory on July 1, 20XX on this operation?
Questions on production - Total Number

5. On this operation, how many lambs were born in the last 6 months (between January 1 and June 3X, 20XX)?

6. How many sheep and lambs died or will die, including those killed by disease or predators, between January 1 and June 3X, 20XX?

7. On this operation, how many lambs do you expect to be born between July 1 and December 3X, 20XX?

Comments:

Statistics Canada's registration page and dashboard

Archived information

Archived information is provided for reference, research or recordkeeping purposes. It is not subject to the Government of Canada Web Standards and has not been altered or updated since it was archived. Please "contact us" to request a format other than those available.

Consultation objectives

In November 2013, Statistics Canada held consultations on the usability of the redesigned 'My Account' portal along with the 'Share this page' widget. The main objective of these consultations was to determine whether Statistics Canada website visitors can register and receive email notifications, complete a series of tasks to personalize their Statistics Canada account and share our web pages on social media.

Consultation methodology

Statistics Canada held in-person usability consultations with participants who were asked to complete a series of tasks and to provide feedback on the proposed website.

How to get involved

This consultation is now closed.

Individuals who wish to obtain more information or to take part in a consultation may contact Statistics Canada by sending an email to consultations@statcan.gc.ca.

Please note that Statistics Canada selects participants for each consultation to ensure feedback from a representative sample of the target population for the study. Not all applicants are asked to participate in a given consultation.

Statistics Canada is committed to respecting the privacy of consultation participants. All personal information created, held or collected by the Agency is protected by the Privacy Act. For more information on Statistics Canada's privacy policies, please consult the Privacy notice.

Results

What worked

Participants found the 'Share this page' widget intuitive, easy to use and would like it added to every publication and article on the website. They were also satisfied with the list of widgets that were available to them.

On the 'My Account' page, participants were successful in signing up to receive product and service updates and logging out. They found the text on the welcome page useful and informative and they also liked the drop-down functionality of the register button and the 'Password requirements' box. Participants were also happy with the selection of titles in the 'Articles and Publications' submenu.

Areas for improvement

  • The 'Hide' functionality within the 'Share this page' widget was not intuitive.
  • Participants could not easily change their password.
  • The links in the 'Articles and reports' submenu were not intuitive.
  • The 'Help' section content was incomplete.
  • The dashboard should allow users to add a greater variety of content and features.
  • Unfamiliar terminology was used throughout the portal.
  • Labelling on the left-hand sidebar of the dashboard was unintuitive.

Recommendations

  • Add Census and classifications to the list of items users can add to their dashboard.
  • Add the widget to all publications and articles.
  • Replace the label 'Hide' with an 'X.'
  • Revise the taxonomy and links throughout the dashboard along with the labelling on the left-hand side bar.
  • Make the registration process more user-friendly.
  • Add a list of frequently asked questions and a link to the 'Contact us' webpage in the 'Help' section.

Statistics Canada thanks participants for their participation in this consultation. Their insights guide the Agency's web development and ensure that the final products meet users' expectations.

Date modified: