The proposed methodology for the 2023-base Market Basket Measure of poverty

The Market Basket Measure (MBM) was first introduced as Canada’s Official Poverty Line in 2018 following the release of Opportunity for All – Canada’s First Poverty Reduction Strategy. In addition to designating the MBM as the official metric to measure the Government of Canada’s poverty
reduction targets, the Poverty Reduction Act also stipulated that the MBM should be reviewed on a
regular basis to ensure it reflects the up-to-date cost of a basket of goods
and services representing a modest, basic standard of living in Canada. This
paper summarizes the proposed 2023-base MBM methodology for the third
comprehensive review.
Statistics Canada and Employment and Social Development Canada (ESDC) initiated the third comprehensive review of the MBM, in June 2023.Note Since the launch of the latest review, numerous engagement and outreach
activities have been undertaken, each of which were tailored towards capturing ideas, proposals and recommendations from different segments of the MBM user community (e.g., academic experts, non-governmental organizations, government officials [federal, provincial or territorial] and the public). The results of the
third comprehensive review engagement phase are detailed and summarized in the What we heard report: Engagement activities for the third comprehensive review of the Market Basket Measure. The feedback and recommendations received
during that phase lay the foundation on which the proposed 2023-base methodology was constructed.
This discussion paper outlines the proposed
changes and updates for the 2023-base MBM methodology, provides preliminary
2023-base thresholds and poverty rates for 2023 reference year, and compares these with the 2018-base thresholds and poverty rates.Note In addition, the paper identifies research topics that are to be studied in preparation for the next comprehensive review. After the release of this
discussion paper, a shorter consultation period will be held to discuss the results with the public, academic, non-governmental, and provincial and
territorial partners. Finally, Statistics Canada and ESDC will review the feedback received and will determine whether corrections to the proposed
2023-base methodology are necessary, before it becomes final in fall 2025.
Introduction
The Market Basket Measure (MBM) establishes
poverty thresholds based on the cost of a basket of goods and services that reflects
a modest, basic standard of living. The poverty thresholds are defined for
different regions across all Canadian provinces and territories and adjusted
for different family sizes. Families’ thresholds are then compared with their disposable
income to determine their poverty status.
Leading up to the third comprehensive
review, research topics that were identified during the previous comprehensive
review were analyzed and their findings were published.Note Each of
these discussion papers explored its respective topic, aiming to foster
engagement and debate with the public and stakeholders to help inform
discussions for the comprehensive review, improve understanding of the MBM
methodology, and potentially expand analytical tools that involve or rely on
the MBM.
Following the official start of the third comprehensive review, Statistics Canada and ESDC have worked collaboratively to engage with Canadians, poverty experts, and officials from provincial, territorial and federal governments, and other stakeholders. During this
outreach phase, each research topic was presented and discussed in varying
degrees of detail. The feedback and advice received through the engagement
activities have helped inform the decision-making process for the proposed 2023-base
updates presented in this discussion paper. Following historical nomenclature
standards, the current MBM methodology is referred to as the “2018-base MBM,” while the proposed methodology is referred to as the “2023-base MBM.”
This discussion paper will describe the
proposed 2023-base changes for both the MBM and the Northern Market Basket
Measure (MBM-N). Next, it will compare the official 2018-base MBM and MBM-N thresholds
and poverty rates to the preliminary 2023-base thresholds and poverty rates.
Finally, it will prioritize outstanding topics that require more research in
preparation for the next comprehensive review. Following the publication of
this discussion paper, a review period will be provided allowing time for
feedback and any final recommendations to be received, after which the proposed
2023-base methodology would be updated (if necessary) and will become final in fall
2025.
Overview of the proposed changes to the 2023-base Market Basket Measure and Northern Market Basket Measure
The underlying structure of the proposed
2023-base MBM methodologies will remain the same as the 2018-base MBM
methodologies.Note
They will continue to establish poverty thresholds based on the cost of a
basket comprising a food component; clothing and footwear component; shelter
component; transportation component; and other expenses component. These
components are based, where possible, on standards developed by experts in
their field of study (e.g., the National Nutritious Food Basket developed by
Health Canada). Moreover, where necessary, the expenditures and costs used in
the calculations of thresholds and disposable income would reflect those of
families in the second income decile.Note Families with disposable income less than the applicable thresholds, given
family size and region of residence, are deemed to be in poverty. The following
are the proposed changes to the 2023-base MBM and MBM-N methodologies. More
detail on these proposals is provided in the appendixes.
Basket summary
The following section presents a summary of the methodology applied in the MBM and the proposed major changes to the basket components and other important methodological features that would impact the underlying standard used by the MBM.

Regions
- 2018-base method: MBM regions in the provinces are either
based on specifically defined communities or population centre size and
province combinations. In the MBM-N regions for the territories they are based
on specifically defined communities or Census Subdivision boundaries. - 2023-base proposed method: The same standard would be used to redefine the MBM regions.
- Note: Even though the method has not changed, there
are no longer any geographies that match the definition for Newfoundland and
Labrador with a population between 30,000 and 99,999. Accordingly, this
threshold is not produced for the 2023 base. The removal of this region would
bring the total number of MBM regions in the provinces to 52, while there would
be no change in the number of MBM-N regions for the territories which would
remain at 13.

Reference family size and composition
- 2018-base method: The reference family size and
composition (i.e., sex and age of family members) would remain unchanged.Note For the provinces, Yukon and the Northwest Territories, the reference family consists of one male and one female adult aged 25 to 49 with two children (a girl aged 9 and a boy aged 13). The Nunavut family includes an additional child (a girl aged 4). - 2023-base proposed method: The same standard would be used for the reference family and composition.
- Note: After the basket is calculated for the
reference family, to arrive at thresholds for different family sizes, the MBM methodology would continue to use the square root equivalence scale.Note

Shelter component
- 2018-base method: The shelter component follows the Canada Mortgage and Housing Corporation’s (CMHC) National Occupancy Standard (NOS) for “adequate” (i.e., not in need of major repairs) and “suitable” housing (i.e.,
given the reference family’s size and composition). Therefore, a three-bedroom
dwelling not in need of major repairs is the standard on which the shelter
costs are estimated. Specifically, the shelter component costs presented in the
basket represents the cost of a non-subsidized rental, while the costs for other
tenure types (e.g., subsidized renters, homeowners with or without a mortgage) are
accounted for on the disposable income side of the measure through tenure type adjustments
(TTAs). - 2023-base proposed method: The same standard would be used for the shelter component with minor changes to the estimation process.
- Note: Adjustments to the estimation model are being
proposed to better reflect shelter costs. Also, while the 2018-base was
benchmarked using data from the 2016 Census, the 2023-base would use data from the
2021 Census.

Clothing and footwear component
-
2018-base method: The clothing and footwear component for
the provinces reflects the latest Harvest Manitoba and Social Planning Council
of Winnipeg’s Acceptable Living Level (ALL) 2012 clothing basket, while
adjustments are made to reflect the colder climate and life in the territories. - 2023-base proposed method: The same standard would be used for the clothing and footwear component with minor changes to the estimation process.
- Note: In keeping with
methodological improvements to price collection implemented in the Consumer Price Index (CPI), the 2023-base MBM would now include web-scraping collection,
where possible.Note

Food component
-
2018-base method: The food component uses Health Canada’s
2019 National Nutritious Food Basket (NNFB), which is based on the latest
Canada’s Food Guide. The food component for Nunavut includes costs associated
with country food. - 2023-base method: The same standard would be used for the food component with minor changes to the estimation process.
- Note: Given improvements in food price collection
methods, the MBM methodologies would follow Statistics Canada’s Consumer Prices
Division’s (CPD) best practices by incorporating scanner data (where possible).Note

Transportation component
-
2018-base method: The transportation component reflects
private and public transportation commuter patterns for people living in larger
urban centres, while rural and smaller urban communities include costs
associated with only private transportation needs. - 2023-base proposed method: The same standard would be used for the transportation component with minor changes to the estimation process.
- Note: While the foundational methodology has not been
altered, adjustments to the estimation process are being proposed to improve
statistical quality and to better reflect commuter patterns of Canadians.

Other expenses component
- 2018-base method: The other expenses componentNote uses a “fixed”
multiplier methodology which is applied to the regional food and clothing
component costs to arrive at a dollar amount for the other expenses component. - 2023-base proposed method: The same standard would be used for the other expenses component with minor changes to the estimation process and adjustments to accommodate for the new communication services component.
- Note: Although fundamental changes are not being
proposed, the expenditure values used in the multiplier would be updated to
reflect the most recent Survey of Household Spending (SHS) data, and the
population of interest would be updated to better reflect the MBM methodology
and reference family. In addition, the proposed creation of a separate
communication services component would impact the multiplier calculation since
the communication services expenditure categories would need to be removed from
the calculation to prevent double counting.

(New) Communication services component
- 2018-base method: Not applicable.
- 2023-base proposed method: The creation of a new communication
services component. - Note: Following the announcement of a minimum
communications service standard set by the Canadian Radio-television and Telecommunications Commission (CRTC), it is proposed that the MBM methodologies
apply this standard in the costing of a separate communication services
component. It is proposed that the following three sub-components make up the
proposed communication services component: landline services, cell phone
services and Internet access services.

Inuusiqattiarniq component (Nunavut only)
-
2018-base method: The MBM-N for Nunavut has an additional
component used to estimate the costs of goods and services required to preserve
Inuit knowledge, culture, traditions and way of life. Given the importance of
maintaining and promoting these elements, these costs are presented in a
separate component from the typical components found in the other MBM
methodologies. The inuusiqattiarniq component costs use a multiplier
methodology and are added to the cost of the basket for Indigenous families
only. - 2023-base proposed method: The same standard would be used for the inuusiqattiarniq component with minor changes to the estimation process.
- Note: The same fixed multiplier used in the 2018-base would be applied to the proposed 2023-base other expenses component value.
Disposable income summary
The following section presents a summary of
the methodology and the proposed changes for the calculation of disposable
income.

Tenure type adjustments
- 2018-base method: A tenure type adjustment (TTA) was applied to the disposable income of families to ensure that those living in different housing tenuresNote than the one
used to cost the shelter component (e.g., non-subsidized renters) are on an
equal footing when considering shelter costs. - 2023-base proposed method: The same standard would be used for the tenure type adjustments with minor changes to the estimation process.
- Note: Adjustments to the estimation model are being
proposed to better reflect shelter costs. Also, while the 2018-base was
benchmarked using data from the 2016 Census, the 2023-base would use the 2021
Census.

Medical expense imputation
- 2018-base method: Medical expenses are derived from
administrative tax data and supplemented by survey data. When no medical
expense data are available from tax data, a value is imputed using the latest
SHS data for every adult in the family.Note - 2023-base proposed method: The same underlying methodology would be applied with minor changes to the estimation process.
- Note: Changes are being proposed to the calculation of the
imputation amount to better reflect the medical expenses of families.
Comparison between the preliminary 2023-base Market Basket Measure and official 2018-base Market Basket Measure thresholds and poverty rates
The following section describes the impact
of the proposed 2023-base changes on the poverty thresholds and rates. To
reiterate, the rebased poverty measure is referred to as the “2023-base,” while
the existing measure is referred to as the “2018-base.” Also, as previously
mentioned in this discussion paper, because the comprehensive review is not yet
complete, these results should be treated as preliminary.
Table 1 shows the thresholds for the
reference family for each MBM region under both the 2018-base and the 2023-base
MBM methodologies for 2023. For the provinces, Yukon and the Northwest
Territories, the MBM reference family consists of two adults with two children.
For Nunavut, the MBM reference family consists of two adults with three
children. Overall, the proposed 2023-base MBM methodology would have varying
impacts on the different MBM regions. For example, under the proposed 2023-base
methodology, the majority of the MBM regions in the Atlantic provinces, Alberta,
the Northwest Territories and Nunavut would experience a relatively small
decrease or no change in their total thresholds value compared with the
2018-base methodology. Conversely, the majority of the remaining MBM regions
for the provinces and territories would see slight to modest increases or very
little change. In general, on average, at the Canada-level there would be around
a 2.0% increase in the proposed 2023-base total threshold compared with the
previous base.Note
| Market Basket Measure geography | 2018-base | 2023-base | Difference | |
|---|---|---|---|---|
| dollars | dollars | percent | ||
|
||||
| Newfoundland and Labrador | ||||
| Rural | 50,597 | 48,740 | -1,857 | -3.7 |
| Population under 30,000 Table 1 Note 2 | 51,044 | 50,808 | -236 | -0.5 |
| Population 30,000 to 99,999 Table 1 Note 3 | 52,388 | … not applicable | … not applicable | … not applicable |
| St. John’s | 53,037 | 52,270 | -767 | -1.4 |
| Prince Edward Island | ||||
| Rural | 51,111 | 48,322 | -2,789 | -5.5 |
| Population under 30,000 | 52,020 | 52,354 | 334 | 0.6 |
| Charlottetown | 53,106 | 53,217 | 111 | 0.2 |
| Nova Scotia | ||||
| Rural | 50,862 | 49,075 | -1,787 | -3.5 |
| Population under 30,000 | 51,936 | 50,100 | -1,836 | -3.5 |
| Population 30,000 to 99,999 | 52,244 | 49,375 | -2,869 | -5.5 |
| Halifax | 54,966 | 52,964 | -2,002 | -3.6 |
| Cape Breton | 50,634 | 49,311 | -1,323 | -2.6 |
| New Brunswick | ||||
| Rural | 49,794 | 48,150 | -1,644 | -3.3 |
| Population under 30,000 | 51,578 | 49,228 | -2,350 | -4.6 |
| Population 30,000 to 99,999 | 51,313 | 48,731 | -2,582 | -5.0 |
| Fredericton | 53,405 | 52,329 | -1,076 | -2.0 |
| Saint John | 50,768 | 49,900 | -868 | -1.7 |
| Moncton | 51,082 | 53,270 | 2,188 | 4.3 |
| Quebec | ||||
| Rural | 45,765 | 46,309 | 544 | 1.2 |
| Population under 30,000 | 45,281 | 45,605 | 324 | 0.7 |
| Population 30,000 to 99,999 | 45,250 | 45,355 | 105 | 0.2 |
| Population 100,000 to 499,999 | 45,821 | 45,903 | 82 | 0.2 |
| Québec | 47,768 | 47,798 | 30 | 0.1 |
| Montréal | 48,424 | 48,656 | 232 | 0.5 |
| Ontario | ||||
| Rural | 48,674 | 51,272 | 2,598 | 5.3 |
| Population under 30,000 | 49,467 | 51,036 | 1,569 | 3.2 |
| Population 30,000 to 99,999 | 48,835 | 49,356 | 521 | 1.1 |
| Population 100,000 to 499,999 | 51,421 | 52,922 | 1,501 | 2.9 |
| Population 500,000 and over | 53,678 | 53,583 | -95 | -0.2 |
| Ottawa-Gatineau, Ontario part | 56,468 | 56,888 | 420 | 0.7 |
| Hamilton/Burlington | 52,069 | 57,534 | 5,465 | 10.5 |
| Toronto | 57,531 | 60,864 | 3,333 | 5.8 |
| Manitoba | ||||
| Rural | 47,181 | 50,345 | 3,164 | 6.7 |
| Population under 30,000 | 49,345 | 52,091 | 2,746 | 5.6 |
| Population 30,000 to 99,999 | 49,419 | 50,300 | 881 | 1.8 |
| Brandon | 48,759 | 51,566 | 2,807 | 5.8 |
| Winnipeg | 53,064 | 54,031 | 967 | 1.8 |
| Saskatchewan | ||||
| Rural | 48,105 | 47,689 | -416 | -0.9 |
| Population under 30,000 | 50,109 | 49,813 | -296 | -0.6 |
| Population 30,000 to 99,999 | 50,262 | 49,026 | -1,236 | -2.5 |
| Saskatoon | 54,292 | 54,053 | -239 | -0.4 |
| Regina | 53,324 | 53,954 | 630 | 1.2 |
| Alberta | ||||
| Rural | 54,247 | 50,062 | -4,185 | -7.7 |
| Population under 30,000 | 55,543 | 53,255 | -2,288 | -4.1 |
| Population 30,000 to 99,999 | 53,963 | 53,686 | -277 | -0.5 |
| Population 100,000 to 499,999 | 54,657 | 52,918 | -1,739 | -3.2 |
| Edmonton | 57,341 | 56,249 | -1,092 | -1.9 |
| Calgary | 57,909 | 56,524 | -1,385 | -2.4 |
| British Columbia | ||||
| Rural | 49,692 | 52,497 | 2,805 | 5.6 |
| Population under 30,000 | 51,041 | 52,412 | 1,371 | 2.7 |
| Population 30,000 to 99,999 | 51,282 | 51,816 | 534 | 1.0 |
| Population 100,000 to 499,999 | 56,397 | 56,854 | 457 | 0.8 |
| Vancouver | 58,163 | 61,621 | 3,458 | 5.9 |
| Yukon | ||||
| Rural North | 63,430 | 62,496 | -934 | -1.5 |
| Rural South | 60,681 | 64,242 | 3,561 | 5.9 |
| Whitehorse | 62,220 | 65,089 | 2,869 | 4.6 |
| Northwest Territories | ||||
| Beaufort Delta | 84,516 | 80,629 | -3,887 | -4.6 |
| Sahtu | 85,816 | 83,079 | -2,737 | -3.2 |
| Tlicho | 69,587 | 67,564 | -2,023 | -2.9 |
| Dehcho | 73,482 | 69,577 | -3,905 | -5.3 |
| South Slave | 69,547 | 68,831 | -716 | -1.0 |
| Yellowknife | 70,294 | 73,613 | 3,319 | 4.7 |
| Nunavut | ||||
| Baffin (excluding Iqaluit) | 116,368 | 108,127 | -8,241 | -7.1 |
| Kivalliq | 102,122 | 96,974 | -5,148 | -5.0 |
| Kitikmeot | 108,582 | 103,944 | -4,638 | -4.3 |
| Iqaluit | 121,791 | 114,437 | -7,354 | -6.0 |
The preliminary 2023 poverty estimates, using
the proposed 2023-base MBM methodology, are presented in Table 2. On average,
the recalibration of the proposed 2023-base thresholds would change the Canada-levelNote poverty
rate, in 2023, by 0.7 percentage points, going from 10.2% using the 2018-base
to 10.9% using the proposed 2023-base. For reference, in 2018, during the last
rebasing the 2018-base poverty rate increased by 2.3 percentage points from the
2008-base. However, given the agreed upon duration between comprehensive review
periods is every five years, relatively large increases between rebasings
should no longer occur.
Table 2 shows that the majority of provinces and
territories with lower proposed 2023-base thresholds compared to the 2018-base would
have lower poverty rates between the bases and vice-versa. Although the levels for the select demographic groups are
different, the trends over time and relative to each other are maintained when
comparing the poverty rates between the proposed 2023-base and 2018-base methodologies.
| Percentage of people in poverty | Number of people in poverty | |||||
|---|---|---|---|---|---|---|
| 2018-base | 2023-base | Difference | 2018-base | 2023-base | Difference | |
| % | % | percentage point | in thousands |
in thousands |
in thousands | |
|
Note: Estimates based on the 2023-base Market Basket Measure thresholds are preliminary. Source: Statistics Canada. Custom tabulation. |
||||||
| Geography | ||||||
| Canada | 10.2 | 10.9 | 0.7 | 3,971 | 4,258 | 287 |
| Newfoundland and Labrador | 11.5 | 11.0 | -0.5 | 61 | 58 | -3 |
| Prince Edward Island | 11.3 | 10.6 | -0.7 | 20 | 18 | -2 |
| Nova Scotia | 12.9 | 11.6 | -1.3 | 132 | 119 | -13 |
| New Brunswick | 11.6 | 11.4 | -0.2 | 94 | 92 | -2 |
| Quebec | 7.4 | 7.6 | 0.2 | 645 | 663 | 18 |
| Ontario | 11.1 | 12.4 | 1.3 | 1,710 | 1,900 | 190 |
| Manitoba | 10.9 | 12.3 | 1.4 | 147 | 166 | 19 |
| Saskatchewan | 12.9 | 13.3 | 0.4 | 150 | 153 | 3 |
| Alberta | 8.9 | 9.1 | 0.2 | 414 | 426 | 12 |
| British Columbia | 11.3 | 12.5 | 1.2 | 599 | 665 | 66 |
| Yukon | 9.9 | 11.1 | 1.2 | 4 | 5 | 1 |
| Northwest Territories | 17.0 | 19.4 | 2.4 | 7 | 8 | 1 |
| Nunavut | 43.4 | 41.4 | -2.0 | 16 | 16 | 0 |
| Age group | ||||||
| People younger than 18 years | 10.7 | 11.8 | 1.1 | 802 | 889 | 87 |
| People 18 to 64 years | 11.6 | 12.2 | 0.6 | 2,795 | 2,956 | 161 |
| People 65 years and older | 5.0 | 5.6 | 0.6 | 373 | 414 | 41 |
| Family types | ||||||
| People in economic families | 7.0 | 7.7 | 0.7 | 2,252 | 2,480 | 228 |
| People not in an economic family | 25.7 | 26.6 | 0.9 | 1,719 | 1,778 | 59 |
| People in couple families with children | 6.7 | 7.8 | 1.1 | 912 | 1,058 | 146 |
| People in one-parent families | 24.8 | 25.7 | 0.9 | 564 | 584 | 20 |
Future research agenda
As was the case during the previous comprehensive review, the following topics have been identified by Statistics
Canada and ESDC because they require further research or exploration given their complexity and the methodological challenges they present to the MBM. Similar to the last time, the results of the research will be published to
allow for transparency and to solicit feedback and recommendations for next
steps.Note
Different family compositions: Exploring methods for the derivation of poverty thresholds for
families of a different composition than the MBM reference family (e.g., seniors, people with disabilities).
Income decile evaluation: Evaluating the appropriateness of the continued use of the second before-tax
income decile to derive key parameters for the MBM.
MBM based on the household: Research will be undertaken to evaluate the impacts of changing the
MBM standard from the economic family unit to the household unit.
MBM-N-specific topics: Exploring research topics previously announced, which are specific
to Yukon, the Northwest Territories (Revised Northern Food Basket and Country
Food and Harvesting) and Nunavut (community-level sharing, second-hand clothing
and in-kind benefits).
Debt servicing: Exploring the feasibility and merit of including expenses related to
servicing debt in the calculation of MBM poverty rates.
Material deprivation indicators: Exploring the development of material deprivation indicators as
complementary indicators to the MBM.
MBM on administrative data: Continuing to advance previous research on deriving MBM indictors
using administrative data.
Conclusion
This discussion paper described the
proposed changes and updates to the MBM and MBM-N methodologies resulting from the
third comprehensive review of the MBM. In addition, the official 2018-base and
preliminary 2023-base MBM thresholds are presented for comparison, as are the
impacts of the new base on the poverty estimates. Finally, a future research
agenda has been created in preparation for the next comprehensive review.
The purpose of this paper is to foster
engagement with the MBM user community, to explain the changes that have been
proposed for the 2023-base MBM methodology and to provide users with the impact
of the proposed changes on the thresholds. We encourage and welcome users to
ask questions, provide feedback and make suggestions for future work.
Following the publication of this paper, a
review period will commence, where Statistics Canada and ESDC will engage with experts; stakeholders; and federal, provincial and territorial officials to
help validate the results. The review period is expected to end in fall 2025. Individuals
or organizations interested in contacting us are encouraged to do so by sending
an email to [email protected]
Appendix A: Proposed changes and updates to the components
and disposable income of the Market Basket Measure methodologies
Proposed changes and updates to the components of the Market
Basket Measure
In the following section, the changes and
updates being proposed for the Market Basket Measure (MBM) methodologies are
explained in more detail. In addition, preliminary 2023-base component costs
estimates are compared with the 2018-base component costs.

Shelter component
2018-base Market Basket Measure methodology
In the 2018-base MBM methodology, the
shelter component represents the annual shelter cost for the MBM reference
family, which includes non-subsidized rent, appliances, basic tenants’
insurance and utilities.Note , Note , Note According to the CMHC’s NOS, the MBM reference familyNote should be living in a three-bedroom dwelling not in need of major repairs. Finally, since the MBM methodology represents a modest, basic standard of living, the MBM family’s rent was estimated using median rent for households in the second income decile.
The 2018-base shelter methodology in the
provinces used either a quantile regression model or a sampling medianNote to estimate the median rent per MBM region using the 2016 Census of Population. In MBM regions where there were too few observations to have a high-quality sampling
median, a quantile regression model, which borrows strength from a larger sample to improve the estimation process, was used to estimate the cost of a three-bedroom
unit.
Once the shelter component costs were
estimated for the base year (2018), the costs were updated annually using the
provincial all-items Consumer Price Index (CPI).
2018-base Northern Market Basket Measure methodology
The underlying standard used in the
province is also used for the territories (i.e., CMHC’s NOS). Again, according
to CMHC’s NOS, the reference family for Yukon, the Northwest Territories and
NunavutNote
requires a three-bedroom dwelling. Similar to the provincial MBM, the cost of
the Northern Market Basket Measure’s (MBM-N’s) shelter component includes the rent of a
non-subsidized three-bedroom dwelling not in need of major repairs, appliances,
basic tenants’ insurance and utilities.Note , Note , Note The reference
family’s rent was again estimated using households in the second income decile.
As for the provinces, the 2018-base MBM-N shelter
costs for Yukon and the Northwest Territories used a quantile regression model to
estimate the median rent for households in the second income decile of each MBM
region.Note
For the Nunavut MBM-N, shelter costs were estimated using the sampling mean of all rents for households in the first seven deciles of the income distribution. Note
Once the shelter component costs were
estimated for the base year (2018), the costs were updated annually using the
territorial-level all-items CPI.
Proposed 2023-base Market Basket Measure methodology
In line with the 2018-base methodology, the
proposed 2023-base shelter component would continue to follow the CMHC’s NOS for the MBM reference family. For the 2023-base MBM methodologies, the 2021
Census of Population would be used to cost the non-subsidized rent paidNote and utilities,Note and the component would continue to include appliance and insurance costs.
Similar to the 2018-base methodology, the
calculation of shelter costs for the proposed 2023-base would use a combination
of either a quantile regression model or a sampling median to estimate rent,
depending on the number of observations available for each MBM region. The proposed
2023-base quantile regression modelNote (used to estimate shelter costs in smaller geographic areas where small samples
make it difficult to produce a good quality estimate) will be very similar to
the 2018-base model in that it will estimate non-subsidized rent using the
number of bedrooms, the household income decile, and the MBM region. However,
for the 2023-base, it is being proposed that additional variables be considered
for inclusion in the model. Relevant variables were identified based on feedback from stakeholders during the third
comprehensive review outreach process. For example, household mobility
status and dwelling type were variables that were stressed by stakeholders as
being important determinants of rental costs. After a list of potential
explanatory variables were created, a variable selection model (i.e., backward
selection model) was used to choose the ones that had a large impact on improving
the prediction capabilities of the model. The variables
selected for the proposed 2023-base model are the following: number of
bedrooms, income decile, MBM region, age group of the major income earner,
household mobility status,Note
structural type of dwelling, number of people in the household, and the index of remoteness. The provincial-level all-items CPI was then used to inflate the rent estimates derived from the 2021 Census to 2023 dollars (the use of this
index is justified in the next paragraph). A supplement for appliances and an
amount for tenant’s insurance will continue to be included in the component
cost.Note
As was done for the 2018-base, an index will be used to annually update the base year’s shelter
costs to other years. An analysis was undertaken to find the best suited index
to annually update shelter costs between census years. There are at least two
important considerations when evaluating the appropriateness of any index.
First, the index should not introduce unnecessary year-over-year volatility as
this would directly impact poverty rates. Second, it is also important that the
chosen index track shelter cost inflation adequately in all MBM regions. The
analysis compared multiple indexes including the
all-items CPI, the rented accommodation CPI, an index created with data from CMHC and an index created with data from the System of National Accounts (SNA). The
average and median relative difference between the 2021 Census shelter costs
and the indexed 2021 shelter costs of a three-bedroom dwelling, not in need of
major repairs and rented by non-subsidized renter households with a total
income in the second income decile were compared using all indexes. The results
presented in Table C.1 in the Appendix C indicated that the CMHC rent index had
high volatility and, on average, it underestimated the costs of rent. The
analysis also found that on average the SNA rent index tended to overestimate
rent and that the provincial rental accommodation CPI also exhibited high
volatility, over time. Despite having the largest range, the all-items CPI was
chosen to perform annual updating of the shelter component, because it produced
the smallest average and median percent change between rents, when compared with
2021 Census data. Therefore, as was done for the 2018-base, once shelter costs are estimated for the base year, it is proposed to continue to use the provincial all-items CPI to adjust the shelter costs to other years.Note
Proposed 2023-base Northern Market Basket Measure methodology
The proposed 2023-base shelter component for the territories would continue to follow the CMHC’s National Occupancy Standard for their respective MBM-N reference family sizes. It would also be based on the cost of non-subsidized rental units, and include utility costsNote and insurance
costs.
Given the high response rates to the 2021 Census long-form questionnaireNote and the high sampling rateNote in Yukon and the Northwest Territories, the proposed 2023-base methodology for
estimating rents for these two territories would be to use a sampling mean. In
the two capitals, households with a before-tax income in the first five income deciles of their MBM-N region income distribution would participate in the estimation process, while outside the capitals, households in the first seven
income deciles would participate in the estimation process. This would bring
the estimation process in line with the estimation methods used in Nunavut,
which would continue to use a sampling mean for its proposed 2023-base MBM-N methodology.
Once the shelter costs are estimated for the base year, it is proposed that the 2023-base MBM-N shelter costs be annually updated using the territorial all-items CPI.
Market Basket Measure and Northern Market Basket Measure threshold comparison
In Table A.1, the differences between the 2018-base and proposed 2023-base shelter component costs are presented, by MBM and MBM-N region, for a reference family of four (five in Nunavut) in 2023.
| Market Basket Measure geography | 2018-base | 2023-base | Difference | |
|---|---|---|---|---|
| dollars | dollars | percent | ||
|
||||
| Newfoundland and Labrador | ||||
| Rural | 11,857 | 11,457 | -400 | -3.4 |
| Population under 30,000 Table A.1 Note 2 | 12,303 | 13,661 | 1,358 | 11.0 |
| Population 30,000 to 99,999 Table A.1 Note 3 | 14,391 | … not applicable | … not applicable | … not applicable |
| St. John’s | 16,191 | 15,814 | -377 | -2.3 |
| Prince Edward Island | ||||
| Rural | 12,426 | 12,177 | -249 | -2.0 |
| Population under 30,000 | 13,334 | 16,037 | 2,703 | 20.3 |
| Charlottetown | 15,106 | 18,175 | 3,069 | 20.3 |
| Nova Scotia | ||||
| Rural | 11,676 | 12,582 | 906 | 7.8 |
| Population under 30,000 | 12,751 | 13,703 | 952 | 7.5 |
| Population 30,000 to 99,999 | 13,663 | 13,891 | 228 | 1.7 |
| Halifax | 18,165 | 17,470 | -695 | -3.8 |
| Cape Breton | 13,957 | 13,851 | -106 | -0.8 |
| New Brunswick | ||||
| Rural | 10,601 | 11,802 | 1,201 | 11.3 |
| Population under 30,000 | 12,384 | 12,696 | 312 | 2.5 |
| Population 30,000 to 99,999 | 12,119 | 11,974 | -145 | -1.2 |
| Fredericton | 15,097 | 15,783 | 686 | 4.5 |
| Saint John | 13,107 | 14,051 | 944 | 7.2 |
| Moncton | 14,537 | 17,307 | 2,770 | 19.1 |
| Quebec | ||||
| Rural | 10,529 | 9,894 | -635 | -6.0 |
| Population under 30,000 | 10,045 | 9,857 | -188 | -1.9 |
| Population 30,000 to 99,999 | 10,705 | 10,320 | -385 | -3.6 |
| Population 100,000 to 499,999 | 11,175 | 10,961 | -214 | -1.9 |
| Québec | 12,936 | 12,789 | -147 | -1.1 |
| Montréal | 13,494 | 13,541 | 47 | 0.3 |
| Ontario | ||||
| Rural | 14,271 | 14,861 | 590 | 4.1 |
| Population under 30,000 | 15,064 | 14,938 | -126 | -0.8 |
| Population 30,000 to 99,999 | 15,490 | 15,362 | -128 | -0.8 |
| Population 100,000 to 499,999 | 16,767 | 19,132 | 2,365 | 14.1 |
| Population 500,000 and over | 18,925 | 19,859 | 934 | 4.9 |
| Ottawa-Gatineau, Ontario part | 20,952 | 22,342 | 1,390 | 6.6 |
| Hamilton/Burlington | 17,575 | 22,913 | 5,338 | 30.4 |
| Toronto | 22,640 | 25,675 | 3,035 | 13.4 |
| Manitoba | ||||
| Rural | 12,174 | 12,205 | 31 | 0.3 |
| Population under 30,000 | 14,338 | 14,835 | 497 | 3.5 |
| Population 30,000 to 99,999 | 14,412 | 15,388 | 976 | 6.8 |
| Brandon | 14,694 | 15,022 | 328 | 2.2 |
| Winnipeg | 17,955 | 18,849 | 894 | 5.0 |
| Saskatchewan | ||||
| Rural | 12,692 | 12,031 | -661 | -5.2 |
| Population under 30,000 | 14,696 | 14,212 | -484 | -3.3 |
| Population 30,000 to 99,999 | 15,712 | 14,492 | -1,220 | -7.8 |
| Saskatoon | 19,169 | 19,365 | 196 | 1.0 |
| Regina | 18,356 | 19,235 | 879 | 4.8 |
| Alberta | ||||
| Rural | 17,026 | 14,051 | -2,975 | -17.5 |
| Population under 30,000 | 18,322 | 17,524 | -798 | -4.4 |
| Population 30,000 to 99,999 | 17,637 | 19,001 | 1,364 | 7.7 |
| Population 100,000 to 499,999 | 18,089 | 18,096 | 7 | 0.0 |
| Edmonton | 22,240 | 21,031 | -1,209 | -5.4 |
| Calgary | 22,604 | 20,625 | -1,979 | -8.8 |
| British Columbia | ||||
| Rural | 13,938 | 15,780 | 1,842 | 13.2 |
| Population under 30,000 | 15,287 | 16,377 | 1,090 | 7.1 |
| Population 30,000 to 99,999 | 16,384 | 17,345 | 961 | 5.9 |
| Population 100,000 to 499,999 | 19,927 | 22,427 | 2,500 | 12.5 |
| Vancouver | 22,521 | 26,851 | 4,330 | 19.2 |
| Yukon | ||||
| Rural North | 14,804 | 16,199 | 1,395 | 9.4 |
| Rural South | 14,008 | 14,820 | 812 | 5.8 |
| Whitehorse | 22,214 | 23,772 | 1,558 | 7.0 |
| Northwest Territories | ||||
| Beaufort Delta | 24,367 | 21,232 | -3,135 | -12.9 |
| Sahtu | 21,662 | 19,296 | -2,366 | -10.9 |
| Tlicho | 19,601 | 16,886 | -2,715 | -13.9 |
| Dehcho | 20,729 | 16,723 | -4,006 | -19.3 |
| South Slave | 20,754 | 20,124 | -630 | -3.0 |
| Yellowknife | 29,083 | 30,835 | 1,752 | 6.0 |
| Nunavut | ||||
| Baffin (excluding Iqaluit) | 27,856 | 27,747 | -109 | -0.4 |
| Kivalliq | 27,856 | 27,747 | -109 | -0.4 |
| Kitikmeot | 27,856 | 27,747 | -109 | -0.4 |
| Iqaluit | 42,331 | 40,950 | -1,381 | -3.3 |
What do the Market Basket Measure shelter costs represent?
The shelter component of the Market Basket Measure (MBM) represents the average shelter cost of all non-subsidized paid rents per MBM region (e.g., for families in the second decile, renting a three-bedroom unit, etc.). During the engagement activities for the third comprehensive review, it was frequently mentioned that the shelter costs were too low when compared with current asking rents. While true, it is important to remember that the shelter costs for people in and at-risk of poverty represents all paid rents, not just asking rents. Since established renters (i.e., someone who has been in their dwelling for at least 5 years) typically have lower rents and represent a significant proportion of all renters (e.g., 77.1% of renters did not move within the last year and 36.8% of renters did not move within the last five years), the MBM rent estimates will be lower than the average asking rent. For example, compared with the proposed costs presented in Table A.1, using only the rents of households that moved within the last 5 years to estimate shelter costs, the shelter component would increase by 20.7% in Toronto and 16.8% in Vancouver. However, using only these rents would diverge from the purpose of the MBM because the MBM’s component costs are meant to represent the average shelter costs in Canada. This is important in poverty measurement, since the thresholds are being applied to representative samples of the population. If an average based on asking rents is applied to the representative sample, the number of people in poverty would be overestimated because the average Canadian in the second income decile does not move every year. Or, alternatively, the reference family would need to be refined so that they are assumed to move every predetermined number of years.

Clothing and footwear component
2018-base Market Basket Measure methodology
The 2018-base methodology used the 2012
Acceptable Living Level (ALL) basket developed by Harvest ManitobaNote and the
Social Planning Council of Winnipeg as the standard for the clothing and
footwear component.Note
At the time of its creation, the ALL basket of items received significant input
from people living in lower and modest income situations, which reflected a
similar standard of living to that of the MBM reference family. The basket
itself contains items for common work, school and social occasions.
For the 2018-base, Statistics Canada’s Consumer
Prices Division (CPD) collected in-store prices from outlets in 11 cities
across the country.Note
For that base, one city was used as the proxy for all the MBM regions in its
respective province. For example, Montréal was used as a proxy for the other
five MBM regions in Quebec. The only exception was Ontario where Toronto prices
were used for the Toronto MBM region, while Ottawa prices were used as a proxy for the remaining MBM regions in Ontario. Next, the arithmetic mean of the three lowest price observations per year for three years (2016, 2017 and 2018) was calculated for each item.Note A
three-year average was taken to reduce price volatility.Note The
three-year average of clothing prices was then multiplied by the annual
quantities from the 2012 ALL replacement schedule (i.e., average lifespan of
the clothing item)Note
and aggregated to obtain the cost of the component.
Once the component cost was estimated for
the base year, the provincial-level clothing and footwear CPI was used to
adjust the costs to other years.
2018-base Northern Market Basket Measure methodology
The 2018-base MBM-N methodology for the
territories used the same standard as the provinces (i.e., the ALL), but
adjustments were made to account for the colder climate in the territories. For
example, certain items were considered unnecessary or not typically used in the
territories while new clothing items were added. In addition, the replacement
schedule (i.e., the lifespan of clothing items) for certain items was adjusted
to account for the higher use of winter clothes in the territories. Unique to
MBM-N for Nunavut, its clothing component also included costs associated with traditional Inuit clothing.
Costing the clothing component for
Whitehorse and Yellowknife followed a similar methodology as the provinces (i.e., in-store collection, using an arithmetic average of the three lowest price
observations for the year). For Yukon communities located outside the capital,
a population weighted average of the costs associated with one shopping trip
per year from each community to Whitehorse and online shopping was added to the
clothing component costs. For Northwest Territories communities outside the
capital but within driving distance of Yellowknife, the methodology was similar
to the methodology for Yukon (i.e., a weighted average of a shopping trip and
online shopping was added to the component cost), while for fly-in communities in the Northwest Territories, driving costs were replaced with the costs associated with flying to the most popular population centres.Note Finally, all communities in Nunavut, including Iqaluit, followed a similar methodology to the fly-in communities in the Northwest Territories.
Once the component cost was estimated for the base year, the territory-level clothing and footwear CPI was used to adjust the costs for other years.Note
Proposed 2023-base Market Basket Measure methodology
It is proposed that the 2023-base MBM continue to use the 2012 ALL basket as the standard for the clothing and footwear component. Although it is from 2012, it remains the most recent clothing standard published in Canada.Note
Given improvements in the price collection
methods developed by the Statistics Canada’s CPD, the 2023-base price
collection method would change from purely in-store collection to a combination of in-store and web-scraped collection.Note Web-scraping is an automated process through which data are automatically
extracted from the web. This improvement in price collection yielded hundreds
of thousands of additional price quotes paving the way for more precise
estimation. This collection method is also cheaper, more frequent and requires fewer
resources.
In addition, the geographical coverage of
in-store collection would also be expanded to include all cities covered by CPD
in-store collection. More specifically, the previous 11 cities where in-store collection
occurred for the 2018-base would be expanded to include an additional 11 cities
for the 2023-base.Note
Again, following CPD’s collection methodology, these in-store collected items
would be augmented by using web-scraped data which comes from major retailers
with physical locations across Canada. A national pricing strategy is assumed
for the web-scraped data (i.e., the prices are consistent across the country
and only differ by provincial tax), while the in-store collected prices still have regional variations.
Given the larger number of price
observations (i.e., increased sample size) which allows for improved precision
and reduces the impacts of seasonality caused by a smaller sample, the use of
the three cheapest price observations and three-year average, as was done in
the 2018-base, would no longer be necessary. Therefore, the 2023-base pricing
methodology would use the first decile of all prices from all sources (i.e.,
in-store and web-scraped) for the base year (i.e., 2023) after removing
outliers and luxury clothing items. As was done for the 2018-base, the final
price estimates would be multiplied by the ALL replacement schedule and annual
quantity allocations to arrive at the total cost for the clothing component.
Given the larger number of price observations obtained by web-scraping, the
larger portion of the clothing component cost would consist of one national
price (i.e., one total cost for all of Canada). The provincial differences would
be caused by the addition of provincial tax and the small portion of in-store
collection.Note
Following the estimation of the clothing and footwear component in the base year, it is proposed that the 2023-base MBM continue to use the provincial-level clothing and footwear CPI to adjust the cost of the component to other years.
Proposed 2023-base Northern Market Basket Measure methodology
It is proposed that the 2023-base MBM-N
continue to use the northern adapted 2012 ALL basket as the standard for the
clothing and footwear component, with the addition of traditional clothing
items for Nunavut.Note
Given that the major retailers from which the web-scraped data are sourced have
store locations in Yellowknife and Whitehorse, it is proposed that the costing
methodology for these two territorial capitals use the same methodology as the
one proposed for the provinces. Since web-scraped retailers do not have
locations in Iqaluit, it is proposed that the 2018-base MBM-N clothing pricing
methodology be used for the 2023-base MBM-N in Nunavut (i.e., in-store,
arithmetic average of the three lowest price observations for the year).
For communities outside of the capital, the
methodology used in the 2018-base MBM-N would be maintained, but the latest available price data would be used (e.g., flight costs, hotel costs, meal allowances, etc.).
Similar to the provinces, once the cost of
the clothing and footwear component is estimated for the base year, it is proposed that the 2023-base MBM-N continue to use the territory-level clothing
and footwear CPI to adjust the cost to other years in Yukon and the Northwest
Territories and the all-items CPI will be used in Nunavut.
Market Basket Measure and Northern Market Basket Measure threshold comparison
In Table A.2, the differences between the
2018-base and proposed 2023-base clothing and footwear component costs are
presented, by MBM and MBM-N region, for a reference family of four (five in
Nunavut) in 2023.
The improvements to the price collection
for clothing items would result in the proposed 2023-base clothing and footwear
component costs being higher than the 2018-base component values for all MBM
regions in the provinces and for the majority of MBM-N regions in the
territories. Specifically, using in-store price collection for the 2018-base
resulted in a limited quantity of price observations for each clothing item which constrained the estimation methodology used in the 2018-base. For the proposed
2023-base methodology, there are more prices to estimate the cost of the
clothing and footwear component. Even after accounting for outliers and
ensuring the clothing items represent a modest budget by taking items in the 10th
percentile of the price distribution, the average price per clothing item would
be higher than the one obtained using the 2018-base methodology.Note As with
the other components and across the different MBM methodologies (i.e., bases),
improvements in data collection, methodological best practices and standards
are a hallmark of the MBM (i.e., continually improving). Therefore, as with
other updates proposed in this paper, these differences should not be viewed as
one base being better than another one, but rather the bases should be viewed as reflecting the data and resources available at a particular point in time.
| Market Basket Measure geography | 2018-base | 2023-base | Difference | |
|---|---|---|---|---|
| dollars | dollars | percent | ||
|
||||
| Newfoundland and Labrador | ||||
| Rural | 2,093 | 2,919 | 826 | 39.4 |
| Population under 30,000 Table A.2 Note 2 | 2,093 | 2,919 | 826 | 39.4 |
| Population 30,000 to 99,999 Table A.2 Note 3 | 2,093 | … not applicable | … not applicable | … not applicable |
| St. John’s | 2,093 | 2,919 | 826 | 39.4 |
| Prince Edward Island | ||||
| Rural | 2,190 | 2,795 | 605 | 27.6 |
| Population under 30,000 | 2,190 | 2,795 | 605 | 27.6 |
| Charlottetown | 2,190 | 2,795 | 605 | 27.6 |
| Nova Scotia | ||||
| Rural | 2,263 | 2,845 | 582 | 25.7 |
| Population under 30,000 | 2,263 | 2,845 | 582 | 25.7 |
| Population 30,000 to 99,999 | 2,263 | 2,845 | 582 | 25.7 |
| Halifax | 2,263 | 2,845 | 582 | 25.7 |
| Cape Breton | 2,263 | 2,845 | 582 | 25.7 |
| New Brunswick | ||||
| Rural | 2,504 | 2,995 | 491 | 19.6 |
| Population under 30,000 | 2,504 | 2,995 | 491 | 19.6 |
| Population 30,000 to 99,999 | 2,504 | 2,995 | 491 | 19.6 |
| Fredericton | 2,504 | 2,995 | 491 | 19.6 |
| Saint John | 2,504 | 2,995 | 491 | 19.6 |
| Moncton | 2,504 | 2,995 | 491 | 19.6 |
| Quebec | ||||
| Rural | 2,228 | 3,388 | 1,160 | 52.1 |
| Population under 30,000 | 2,228 | 3,388 | 1,160 | 52.1 |
| Population 30,000 to 99,999 | 2,228 | 3,388 | 1,160 | 52.1 |
| Population 100,000 to 499,999 | 2,228 | 3,388 | 1,160 | 52.1 |
| Québec | 2,228 | 3,388 | 1,160 | 52.1 |
| Montréal | 2,228 | 3,388 | 1,160 | 52.1 |
| Ontario | ||||
| Rural | 2,243 | 3,114 | 871 | 38.8 |
| Population under 30,000 | 2,243 | 3,114 | 871 | 38.8 |
| Population 30,000 to 99,999 | 2,243 | 3,114 | 871 | 38.8 |
| Population 100,000 to 499,999 | 2,243 | 3,114 | 871 | 38.8 |
| Population 500,000 and over | 2,243 | 3,114 | 871 | 38.8 |
| Ottawa-Gatineau, Ontario part | 2,243 | 3,114 | 871 | 38.8 |
| Hamilton/Burlington | 2,243 | 3,114 | 871 | 38.8 |
| Toronto | 1,919 | 3,114 | 1,195 | 62.3 |
| Manitoba | ||||
| Rural | 2,083 | 3,219 | 1,136 | 54.5 |
| Population under 30,000 | 2,083 | 3,219 | 1,136 | 54.5 |
| Population 30,000 to 99,999 | 2,083 | 3,219 | 1,136 | 54.5 |
| Brandon | 2,083 | 3,219 | 1,136 | 54.5 |
| Winnipeg | 2,083 | 3,219 | 1,136 | 54.5 |
| Saskatchewan | ||||
| Rural | 2,273 | 2,793 | 520 | 22.9 |
| Population under 30,000 | 2,273 | 2,793 | 520 | 22.9 |
| Population 30,000 to 99,999 | 2,273 | 2,793 | 520 | 22.9 |
| Saskatoon | 2,273 | 2,793 | 520 | 22.9 |
| Regina | 2,273 | 2,793 | 520 | 22.9 |
| Alberta | ||||
| Rural | 1,894 | 2,618 | 724 | 38.2 |
| Population under 30,000 | 1,894 | 2,618 | 724 | 38.2 |
| Population 30,000 to 99,999 | 1,894 | 2,618 | 724 | 38.2 |
| Population 100,000 to 499,999 | 1,894 | 2,618 | 724 | 38.2 |
| Edmonton | 1,894 | 2,618 | 724 | 38.2 |
| Calgary | 1,894 | 2,618 | 724 | 38.2 |
| British Columbia | ||||
| Rural | 2,096 | 2,973 | 877 | 41.8 |
| Population under 30,000 | 2,096 | 2,973 | 877 | 41.8 |
| Population 30,000 to 99,999 | 2,096 | 2,973 | 877 | 41.8 |
| Population 100,000 to 499,999 | 2,096 | 2,973 | 877 | 41.8 |
| Vancouver | 2,096 | 2,973 | 877 | 41.8 |
| Yukon | ||||
| Rural North | 3,976 | 4,196 | 220 | 5.5 |
| Rural South | 3,780 | 4,153 | 373 | 9.9 |
| Whitehorse | 3,514 | 3,745 | 231 | 6.6 |
| Northwest Territories | ||||
| Beaufort Delta | 4,491 | 4,514 | 23 | 0.5 |
| Sahtu | 4,234 | 4,553 | 319 | 7.5 |
| Tlicho | 3,816 | 4,444 | 628 | 16.5 |
| Dehcho | 4,221 | 4,864 | 643 | 15.2 |
| South Slave | 3,957 | 4,155 | 198 | 5.0 |
| Yellowknife | 3,612 | 4,579 | 967 | 26.8 |
| Nunavut | ||||
| Baffin (excluding Iqaluit) | 8,017 | 8,441 | 424 | 5.3 |
| Kivalliq | 6,609 | 7,243 | 634 | 9.6 |
| Kitikmeot | 6,619 | 7,984 | 1,365 | 20.6 |
| Iqaluit | 6,628 | 6,505 | -123 | -1.9 |

Food component
2018-base Market Basket Measure methodology
The 2018-base MBM
food component is based on the 2019 National Nutritious Food Basket (NNFB),
developed by Health Canada. The food prices for the items found in the 2019 NNFB were collected from 38 municipalities over a 12-month period by Statistics Canada’s CPD. The geometric mean of the monthly prices
was then used to get the annual average price for a municipality. When an MBM region did not contain any municipalities
providing prices, another municipality within the province was used as a proxy.
Alternatively, when an MBM region had more than one municipality providing
prices, the weighted average of the individual municipality prices was used.Note The
2018-base MBM would then use these prices and the NNFB weekly quantities
required by the MBM reference family to estimate the food component costs for
MBM regions. Finally, following the NNFB methodology, an
additional 5% was added to the total component costs for miscellaneous foods
and beverages (e.g., coffee, tea, herbs, spices and condiments).
Once the component cost was estimated for
the base year, the provincial-level CPI for food purchased from stores was used
to adjust the component costs for other years.
2018-base Northern Market Basket Measure methodology
The 2018-base MBM-N food component is also
based on the 2019 NNFB. The collection method for the territorial capitals was
similar to the one used for the provinces (i.e., the geometric mean of the
monthly prices). For communities outside of the territorial capitals, spatial
indexes were used to adjust the capital prices.Note These community-level
adjusted prices, including the 5% addition, and the NNFB weekly quantities were
aggregated and weighted by population counts,Note
to their respective food component cost for their MBM-N regions.
For Nunavut, two large modifications were also
made to the 2018-base MBM-N to reflect life in that territory. The first was to
increase the quantities found in the NNFB so it would reflect the additional
nutritional requirements needed for the fifth reference family member (i.e., a
girl aged 4 years). Given the importance of maintaining Inuit culture and
traditions and for practical requirements, the second modification to the NNFB
was to include hunted and harvested country foods.Note
Once the component cost was estimated for
the base year, the territorial-level CPI for food purchased from stores was
used to adjust the component costs for other years in Yukon and the Northwest
Territories, and the territorial all-items CPI for Nunavut.
Proposed 2023-base Market Basket Measure methodology
The proposed 2023-base food component
methodology for the MBM would continue to use the same 2019 NNFB, the most
recent standard currently available.
Scanner data
Statistics Canada uses mostly point-of-sale scanner data received directly from 21 grocery chains across all regions in Canada. Point-of-sale, or transaction, data are the highest quality price data available, since they track actual prices paid by Canadians at the till, rather than just advertised store prices. These data are collected on a weekly basis and include sales and promotions where applicable. To protect the confidentiality of those who make and sell the goods that are priced, Statistics Canada does not publish specific brand names or store names.
As indicated above, recently, Statistics
Canada’s Consumer Prices Division has integrated data from point-of-sale systems (also known as scanner data or transaction data) into its processing environment. For more information on what scanner data is, see the Scanner data text box. Following CPD’s lead, it is proposed that the MBM also
estimate food costs using scanner data. Scanner data obtained from Canadian retailers offers a significant
quality advantage over traditional in-store collection. Scanner data provide a comprehensive electronic record of the
transactions made through a retailer’s point-of-sale system. It includes prices from thousands of stores across the
country, covering around a thousand communities and representing millions of
weekly food prices and covering the majority of the Canadian grocery market. This
would allow the MBM to use actual prices for municipalities in each MBM region,
instead of proxies.
Additionally, instead
of using the geometric mean of monthly prices, the 2023-base MBM would continue
to follow CPD’s lead and use the weighted arithmetic average of price
observations.Note
After the average price for a food item is calculated for a municipality, the
individual municipality prices would be aggregated as was done in the 2018-base
(i.e., using census population counts in a weighted average), but using the
2021 Census population counts. These annual MBM region prices would then be
applied to the weekly 2019 NNFB quantities to arrive at the total food
component costs. Finally, the additional 5% for miscellaneous items would continue to be applied.
Once the food component cost is estimated for
the base year, the provincial-level CPI for food purchased from stores would
continue to be used to adjust the component cost for other years.
Proposed 2023-base Northern Market Basket Measure methodology
The proposed 2023-base MBM-N methodology
would closely follow the 2018-base MBM-N methodology. In Yellowknife and
Whitehorse, transactional point-of-sale data are available. Therefore, it is proposed that these territorial capitals use the same pricing methodology that is
being proposed for the provinces. Conversely, the scanner data are not
available from any store locations in Iqaluit. Therefore, the proposed
2023-base MBM-N pricing methodology for Nunavut would be the same as the
2018-base pricing methodology but would use monthly prices collected in 2023.
As was done with the 2018-base MBM-N
methodology, once the food component cost is estimated for the base year, it is
proposed that the territorial-level CPI for food purchased from stores would be
used to adjust the component costs for other years in Yukon and the Northwest
Territories and the territorial all-items CPI be used in Nunavut.
Market Basket Measure and Northern Market Basket Measure threshold comparison
In Table A.3, the differences between the
2018-base and proposed 2023-base food component costs are presented, by MBM and
MBM-N region, for a reference family of four (five in Nunavut) in 2023.
The improvements in the price collection
methodology have allowed for better geographical disaggregation. For example, using
the 2018-base methodology, in Prince Edward Island, there was only one food
component cost for all the MBM regions, while there are different food
component costs for all regions using the 2023-base. In general, recalibrating
the food component did not have a uniform impact across MBM regions when
comparing the two bases (i.e., some went up, some went down). Specifically, the improved sample size brought by the integration of scanner data for the 2023 base allows the production of good quality regional price estimates for each food item included in the NNFB. The proposed
2023-base updates would increase the overall Canada food component average cost
by about 4.6%.Note
| Market Basket Measure geography | 2018-base | 2023-base | Difference | |
|---|---|---|---|---|
| dollars | dollars | percent | ||
|
||||
| Newfoundland and Labrador | ||||
| Rural | 16,774 | 16,286 | -488 | -2.9 |
| Population under 30,000 Table A.3 Note 2 | 16,774 | 16,227 | -547 | -3.3 |
| Population 30,000 to 99,999 Table A.3 Note 3 | 16,774 | … not applicable | … not applicable | … not applicable |
| St. John’s | 15,982 | 16,162 | 180 | 1.1 |
| Prince Edward Island | ||||
| Rural | 16,748 | 15,648 | -1,100 | -6.6 |
| Population under 30,000 | 16,748 | 15,802 | -946 | -5.6 |
| Charlottetown | 16,748 | 15,780 | -968 | -5.8 |
| Nova Scotia | ||||
| Rural | 16,341 | 15,646 | -695 | -4.3 |
| Population under 30,000 | 16,341 | 15,589 | -752 | -4.6 |
| Population 30,000 to 99,999 | 16,341 | 15,815 | -526 | -3.2 |
| Halifax | 15,654 | 15,790 | 136 | 0.9 |
| Cape Breton | 15,326 | 15,621 | 295 | 1.9 |
| New Brunswick | ||||
| Rural | 16,549 | 15,440 | -1,109 | -6.7 |
| Population under 30,000 | 16,549 | 15,569 | -980 | -5.9 |
| Population 30,000 to 99,999 | 16,549 | 15,719 | -830 | -5.0 |
| Fredericton | 16,465 | 16,053 | -412 | -2.5 |
| Saint John | 16,069 | 15,665 | -404 | -2.5 |
| Moncton | 15,488 | 16,035 | 547 | 3.5 |
| Quebec | ||||
| Rural | 14,415 | 15,662 | 1,247 | 8.7 |
| Population under 30,000 | 14,415 | 15,290 | 875 | 6.1 |
| Population 30,000 to 99,999 | 14,415 | 15,529 | 1,114 | 7.7 |
| Population 100,000 to 499,999 | 14,415 | 15,301 | 886 | 6.1 |
| Québec | 14,610 | 15,430 | 820 | 5.6 |
| Montréal | 14,740 | 15,629 | 889 | 6.0 |
| Ontario | ||||
| Rural | 13,549 | 15,222 | 1,673 | 12.4 |
| Population under 30,000 | 13,549 | 15,051 | 1,502 | 11.1 |
| Population 30,000 to 99,999 | 13,549 | 14,821 | 1,272 | 9.4 |
| Population 100,000 to 499,999 | 14,106 | 14,402 | 296 | 2.1 |
| Population 500,000 and over | 14,106 | 14,435 | 329 | 2.3 |
| Ottawa-Gatineau, Ontario part | 14,626 | 14,818 | 192 | 1.3 |
| Hamilton/Burlington | 13,777 | 14,401 | 624 | 4.5 |
| Toronto | 13,861 | 14,247 | 386 | 2.8 |
| Manitoba | ||||
| Rural | 14,009 | 15,960 | 1,951 | 13.9 |
| Population under 30,000 | 14,009 | 15,699 | 1,690 | 12.1 |
| Population 30,000 to 99,999 | 14,009 | 14,140 | 131 | 0.9 |
| Brandon | 14,009 | 16,174 | 2,165 | 15.5 |
| Winnipeg | 14,511 | 15,269 | 758 | 5.2 |
| Saskatchewan | ||||
| Rural | 14,104 | 15,293 | 1,189 | 8.4 |
| Population under 30,000 | 14,104 | 15,357 | 1,253 | 8.9 |
| Population 30,000 to 99,999 | 14,104 | 15,465 | 1,361 | 9.6 |
| Saskatoon | 14,366 | 15,431 | 1,065 | 7.4 |
| Regina | 14,235 | 15,383 | 1,148 | 8.1 |
| Alberta | ||||
| Rural | 15,972 | 15,974 | 2 | 0.0 |
| Population under 30,000 | 15,972 | 15,937 | -35 | -0.2 |
| Population 30,000 to 99,999 | 15,972 | 15,881 | -91 | -0.6 |
| Population 100,000 to 499,999 | 15,972 | 15,916 | -56 | -0.4 |
| Edmonton | 14,871 | 15,844 | 973 | 6.5 |
| Calgary | 15,002 | 16,226 | 1,224 | 8.2 |
| British Columbia | ||||
| Rural | 14,634 | 15,711 | 1,077 | 7.4 |
| Population under 30,000 | 14,634 | 15,600 | 966 | 6.6 |
| Population 30,000 to 99,999 | 14,634 | 15,436 | 802 | 5.5 |
| Population 100,000 to 499,999 | 15,575 | 15,410 | -165 | -1.1 |
| Vancouver | 14,899 | 15,624 | 725 | 4.9 |
| Yukon | ||||
| Rural North | 19,003 | 18,765 | -238 | -1.3 |
| Rural South | 18,278 | 21,155 | 2,877 | 15.7 |
| Whitehorse | 14,985 | 16,367 | 1,382 | 9.2 |
| Northwest Territories | ||||
| Beaufort Delta | 25,325 | 28,982 | 3,657 | 14.4 |
| Sahtu | 27,738 | 31,659 | 3,921 | 14.1 |
| Tlicho | 20,442 | 23,394 | 2,952 | 14.4 |
| Dehcho | 21,471 | 24,554 | 3,083 | 14.4 |
| South Slave | 19,743 | 22,386 | 2,643 | 13.4 |
| Yellowknife | 15,599 | 17,786 | 2,187 | 14.0 |
| Nunavut | ||||
| Baffin (excluding Iqaluit) | 30,442 | 32,694 | 2,252 | 7.4 |
| Kivalliq | 26,034 | 28,228 | 2,194 | 8.4 |
| Kitikmeot | 29,343 | 31,314 | 1,971 | 6.7 |
| Iqaluit | 28,959 | 31,380 | 2,421 | 8.4 |

Transportation component
2018-base Market Basket Measure methodology
For the 2018-base MBM, the transportation
component used a weighted average of two subcomponent costs: private and public
transportation. For areas with a comprehensive public transit system both
private and public subcomponent costs are used in the costing methodology. For
areas without a comprehensive public transit system (e.g., small urban centres
with fewer than 30,000 people and rural areas) only the private subcomponent cost
is used.
The private transportation subcomponent was
based on a basket of five used compact cars. It included the cost of purchasing, maintaining and operating an eight-year-old, four-door compact car,
once every five years with a 36-month financing term. It also included 1 200 litres
of gas per year for the four-person reference family. The private subcomponent used
data from the CPD, registration data, CARFAX’s Canadian Redbook, and the Survey
of Household Spending (SHS). As for the public subcomponent, its cost included the
cost of two adult monthly passes and one child pass. Where monthly passes were not
available, 40 ticket fares substituted one monthly pass. It also included 12
two-way taxi trips each year.
Once the costs of both subcomponents were estimated
for the base year, the provincial-level CPI was used to adjust the costs to
other years. For the private subcomponent, the private transportation CPI was used,
while for the public subcomponent, the public transportation CPI was used.
Finally, a weighted average was used to
combine the two subcomponents at the MBM region-level, based on the proportion of
families where at least one family member indicated using a car to get to work
on the 2016 Census.
2018-base Northern Market Basket Measure methodology
In the territories, the 2018-base MBM-N transportation
component used only costs related to private transportation. Also, considering the road infrastructure in the territories, the transportation component for Yukon and the non-fly-in communities of the Northwest Territories (e.g., communities with road access) used a basket of vehicles that included one small sport utility vehicle (SUV) and one compact car.Note A weighted
average, based on units sold, is used to determine the total costs for the basket of cars. It included the costs associated with the purchase of an eight-year-old vehicle, along with 1 200 litres of gas per year (or 15 000 kilometres
driven per year at 8 litres per 100 kilometres). The value of the vehicle was amortized over five years with a 36-month financing term at a rate
corresponding to the published consumer loan rate. Other costs, such as
insurance, maintenance, registration, and driver’s licence renewals, were also taken
into account.Note
For fly-in communities in the Northwest Territories,
the transportation cost was based on the costs associated with purchasing a new mid-quality range all-terrain vehicle (ATV) and a snowmobile from Hay River and
shipping them by barge to the fly-in community, as well as the costs associated
with operating and maintaining them.
A similar methodology to the Northwest
Territories’ fly-in communities is applied to the MBM-N regions in Nunavut. Therefore, the transportation component of the Nunavut MBM includes
the cost of purchasing, operating and maintaining both a mid-quality ATV and a
snowmobile in the territory.Note
Once the component cost was estimated for
the base year, the territorial-level private transportation CPI was used to
adjust the component costs for other years in Yukon and the Northwest
Territories, and the all-items CPI was used for Nunavut.
Proposed 2023-base Market Basket Mesure methodology
For the proposed 2023-base, the transportation component would follow the same underlying methodology employed
by the 2018-base (i.e., a weighted average cost for private and public modes of
transport), but with the following methodological changes:
Average kilometres driven per year
It is proposed for the 2023-base methodology that the number of kilometres driven per year would differ by
province. The proposed methodology would use Natural Resources Canada’s (NRCan’s)
Comprehensive
Energy Use Database (CEUD) data from 2017 to 2021 to obtain the average
number of kilometres driven annually per province.Note This
change in methodology better reflects the differences in commuting patterns
across Canada. Based on this methodology, on average, Atlantic provinces would tend
to have higher kilometres driven, as well as Manitoba and Saskatchewan, while
the number of kilometres would be lower for Quebec, Alberta and British
Columbia. For the proposed 2023-base MBM, the number of litres per 100 kilometres
would also change from 8 litres to 7.3 litres per 100 kilometres since the cars
in the basket have better fuel efficiency. This improvement decreases the
average number of litres used annually, from around 1 200 to around 1 100 litres.
Maintenance costs
For the proposed 2023-base methodology, the
tune-ups estimation would be simplified since SHS expenditure data would be
replaced by CPD price data. In addition to simplifying the calculation, this change improves the quality of
the estimates because it uses
direct pricing. In determining the CPD-based replacement items, the age of the
vehicle and typical maintenance needs would be considered. For example, the
average lifespan of brakes is around 60 000 kilometres and given that 15 000 kilometres
are driven per year on average, the break replacement costs would be amortized
over four years. Similarly, the costs of all-season tires and their
installation would be amortized over five years, based on the average lifespan
of tires (about three to five years or 75 000 kilometres).Note While it
is recognized that adjusting for the number of kilometres driven based on the province would impact these amortization periods, it is proposed to not adjust
the maintenance costs based on these new kilometres because the added complexity would outweigh the marginal benefit of a slight difference in cost.
Ride-share inclusion
The increased use of ride-sharing servicesNote (e.g.,
Uber, Téo Taxi, Lyft, etc.) in many urban communities over the past few years
has led to growing interest (as mentioned during the consultation process) in
including ride-sharing services in the methodology of the transportation
component. Thus, it is proposed that both ride-sharing services and taxi
services be included in the public transportation subcomponent. Specifically,
it is proposed that a weighted average of the two service costs based on the
provincial use of each service be used to estimate the cost of a taxi trip.Note
For this new methodology, CPD and SHS data would be used to determine the costs of taxi and ride-sharing services in 2023.
Statistics Canada’s CPD data would be used to obtain the average costs of a
one-way taxi trip and a one-way ride-share trip, using 2023 CPD data, per
province while the latest SHS data would be used to create the weights.Note The weighted
average of both service costs would be used to estimate the cost of a two-way
trip, before being annualized (i.e., multiplied by 12) to obtain the annual
cost for each province. This proposed methodology has the advantage of using observed
prices and better represents commuter patterns.
Apart for these three methodological updates,
the other parts of the private and public subcomponents would only be updated
to reflect the most recent price data available for the 2023-base.Note After the
private and public subcomponents are calculated for the base year, the
provincial-level private transportation index and public transportation index,
respectively, would be used to make adjustments for other reference years. Finally,
it is proposed that a weighted average would continue to be used to combine the
two subcomponents, based on the proportion of families where at least one
family member indicated using a car to get to work on the 2021 Census.Note
Proposed 2023-base Northern Market Basket Measure methodology
The proposed 2023-base MBM-N methodology
would closely follow the one used by the 2018-base MBM-N.Note The only proposed
change would be to update to the basket of vehicles for the capitals and communities
with road access to the capitals in Yukon and the Northwest Territories to
include the average cost for the five most popular SUVs and five compact cars instead of using only one of each type of vehicle. This change would make the basket
more resilient to changes in vehicle production and would add stability to the estimates.
As was done for the basket of cars, registration data from 2017 would be used to obtain the most sold SUVs and
compact cars for Yukon and the Northwest Territories.Note Then, to
obtain the 2015 retail price, the Canadian Redbook (CARFAX) would be used.
Finally, the weighted average of the baskets would be found by using the registration
counts as weights.
Once the component cost is estimated for
the base year, the territorial-level private transportation CPI would continue
to be used to adjust the component costs for other years in Yukon and the
Northwest Territories, and the territorial all-items CPI would be used for
Nunavut.
Market Basket Measure and Northern Market Basket Measure
threshold comparison
In Table A.4, the differences between the
2018-base and proposed 2023-base transportation componentNote costs are
presented, by MBM and MBM-N region, for a reference family of four (five in
Nunavut) in 2023.
| Market Basket Measure geography | 2018-base | 2023-base | Difference | |
|---|---|---|---|---|
| dollars | dollars | percent | ||
|
||||
| Newfoundland and Labrador | ||||
| Rural | 5,685 | 6,410 | 725 | 12.7 |
| Population under 30,000 Table A.4 Note 2 | 5,685 | 6,410 | 725 | 12.7 |
| Population 30,000 to 99,999 Table A.4 Note 3 | 4,942 | … not applicable | … not applicable | … not applicable |
| St. John’s | 5,121 | 5,815 | 694 | 13.5 |
| Prince Edward Island | ||||
| Rural | 5,364 | 6,579 | 1,215 | 22.7 |
| Population under 30,000 | 5,364 | 6,579 | 1,215 | 22.7 |
| Charlottetown | 4,679 | 5,339 | 660 | 14.1 |
| Nova Scotia | ||||
| Rural | 6,085 | 6,858 | 773 | 12.7 |
| Population under 30,000 | 6,085 | 6,858 | 773 | 12.7 |
| Population 30,000 to 99,999 | 5,480 | 5,606 | 126 | 2.3 |
| Halifax | 4,857 | 5,654 | 797 | 16.4 |
| Cape Breton | 5,286 | 5,873 | 587 | 11.1 |
| New Brunswick | ||||
| Rural | 5,802 | 6,698 | 896 | 15.4 |
| Population under 30,000 | 5,802 | 6,698 | 896 | 15.4 |
| Population 30,000 to 99,999 | 5,802 | 6,698 | 896 | 15.4 |
| Fredericton | 5,058 | 5,985 | 927 | 18.3 |
| Saint John | 5,074 | 5,871 | 797 | 15.7 |
| Moncton | 4,929 | 5,429 | 500 | 10.1 |
| Quebec | ||||
| Rural | 5,444 | 6,020 | 576 | 10.6 |
| Population under 30,000 | 5,444 | 6,020 | 576 | 10.6 |
| Population 30,000 to 99,999 | 4,753 | 4,946 | 193 | 4.1 |
| Population 100,000 to 499,999 | 4,855 | 5,196 | 341 | 7.0 |
| Québec | 4,706 | 5,068 | 362 | 7.7 |
| Montréal | 4,583 | 4,878 | 295 | 6.4 |
| Ontario | ||||
| Rural | 6,051 | 7,163 | 1,112 | 18.4 |
| Population under 30,000 | 6,051 | 7,163 | 1,112 | 18.4 |
| Population 30,000 to 99,999 | 4,993 | 5,406 | 413 | 8.3 |
| Population 100,000 to 499,999 | 5,360 | 5,830 | 470 | 8.8 |
| Population 500,000 and over | 5,459 | 5,714 | 255 | 4.7 |
| Ottawa-Gatineau, Ontario part | 5,344 | 5,962 | 618 | 11.6 |
| Hamilton/Burlington | 5,757 | 6,662 | 905 | 15.7 |
| Toronto | 6,612 | 7,463 | 851 | 12.9 |
| Manitoba | ||||
| Rural | 6,103 | 7,100 | 997 | 16.3 |
| Population under 30,000 | 6,103 | 7,100 | 997 | 16.3 |
| Population 30,000 to 99,999 | 6,103 | 7,100 | 997 | 16.3 |
| Brandon | 5,162 | 5,675 | 513 | 9.9 |
| Winnipeg | 5,351 | 5,672 | 321 | 6.0 |
| Saskatchewan | ||||
| Rural | 5,993 | 6,569 | 576 | 9.6 |
| Population under 30,000 | 5,993 | 6,569 | 576 | 9.6 |
| Population 30,000 to 99,999 | 5,130 | 5,340 | 210 | 4.1 |
| Saskatoon | 5,259 | 5,544 | 285 | 5.4 |
| Regina | 5,327 | 5,647 | 320 | 6.0 |
| Alberta | ||||
| Rural | 5,410 | 6,265 | 855 | 15.8 |
| Population under 30,000 | 5,410 | 6,265 | 855 | 15.8 |
| Population 30,000 to 99,999 | 4,514 | 5,305 | 791 | 17.5 |
| Population 100,000 to 499,999 | 4,757 | 5,389 | 632 | 13.3 |
| Edmonton | 5,134 | 5,893 | 759 | 14.8 |
| Calgary | 5,119 | 6,000 | 881 | 17.2 |
| British Columbia | ||||
| Rural | 5,764 | 6,506 | 742 | 12.9 |
| Population under 30,000 | 5,764 | 6,506 | 742 | 12.9 |
| Population 30,000 to 99,999 | 4,908 | 5,190 | 282 | 5.7 |
| Population 100,000 to 499,999 | 4,890 | 5,183 | 293 | 6.0 |
| Vancouver | 5,205 | 5,206 | 1 | 0.0 |
| Yukon | ||||
| Rural North | 6,783 | 9,460 | 2,677 | 39.5 |
| Rural South | 6,452 | 9,037 | 2,585 | 40.1 |
| Whitehorse | 6,014 | 8,601 | 2,587 | 43.0 |
| Northwest Territories | ||||
| Beaufort Delta | 7,257 | 7,024 | -233 | -3.2 |
| Sahtu | 7,649 | 7,282 | -367 | -4.8 |
| Tlicho | 6,580 | 6,615 | 35 | 0.5 |
| Dehcho | 6,870 | 6,615 | -255 | -3.7 |
| South Slave | 6,311 | 6,619 | 308 | 4.9 |
| Yellowknife | 6,367 | 6,645 | 278 | 4.4 |
| Nunavut | ||||
| Baffin (excluding Iqaluit) | 11,529 | 9,642 | -1,887 | -16.4 |
| Kivalliq | 8,579 | 7,803 | -776 | -9.0 |
| Kitikmeot | 8,592 | 8,360 | -232 | -2.7 |
| Iqaluit | 8,053 | 7,952 | -101 | -1.3 |

Other expenses component
2018-base Market Basket Measure methodology
The MBM has a final
component that recognises the needs for other goods and services that are not
captured under the shelter, clothing, food and transportation categories (e.g.,
household items, personal care, reading materials, etc.). The methodology for
pricing the other expenses component (formerly known as the other necessities
component) does not price individual items because too many items could
potentially need to be priced and many of these items would be considered
necessities for some families but not for others.
The derivation of the other expenses
component used data from Statistics Canada’s SHS. In
2010, the SHS was redesigned, including changes to the questionnaire and the introduction of a two-week diary.Note These changes resulted in information on products and services being collected in
relation to a reference period (e.g., last week, month or year) which made it
easier for respondents to recall their expenditures more accurately. In
addition, expenditure categories in the redesigned SHS were also updated to a
new custom product classification. However, these changes to the concepts,
recall periods and mode of collection raised questions regarding the
suitability of the redesigned SHS data for the MBM methodology.
As a result, during the 2018-base MBM
comprehensive review, the 2008-base fixed percentage used in the other expenses
component was reviewed, and it was held constant at 75.4%.Note This fixed
percentage is referred to as the “multiplier” and was established based
on an analysis of historical spending patterns on a set of selected expenditure
categories deemed important for a modest, basic standard of living. Then, the
multiplier was applied to each MBM region’s food and clothing component costs
to derive a dollar amount for the MBM region’s other expenses component.
Finally, an amount for cellular telephone services was also priced separately
and added to the other expenses component.
Once the cost of the other expenses component
was estimated for the base year, the cost was updated using the annual
provincial all-items CPI to make yearly adjustments.
2018-base Northern Market Basket Measure methodology
The 2018-base MBM-N methodology applies the
same methodological underpinnings present in the provincial MBM. It applies the
same fixed multiplier, but against the food and clothing component costs for
each MBM-N region. The methodology for the other expenses component in and
outside of the capital is the same.
Once the other expenses component cost was
estimated for the base year, the territorial-level all-items CPI was used to
adjust the component costs to other years.
Proposed 2023-base Market Basket Measure methodology
The first proposed update to the 2023-base consists
of using more recent expenditure data to recalculate the other expenses
component multiplier. For this update, it would be assumed that while total
household expenditures may change over time, the expenditure categories that
families typically spend money on are fairly static (e.g., personal care
products, children’s toys, admissions to movie theatres, etc.). Therefore, the 2023-base
would use the historical household expenditure categories to derive the
multiplier value. The only exception would be for expenditure categories that
are associated with communication services, which would be removed from the
numerator to prevent double counting with the introduction of a new and separate
communication services component (described further below).Note Based on this updated expenditure list, the most recent
SHS data would be used to calculate a new multiplier (50.3%) as was done in
previous MBM bases (i.e., the sampling mean of pooled data from the 2017, 2019
and 2021 reference years).Note
The second proposed update would be to
better align the SHS population used to calculate the multiplier to the MBM
reference family. It is proposed to use only SHS
families with two adults aged between 25 and 64 years and two children aged
between 6 and 16 yearsNote
with a before-tax household income in the 20th to the 50th
percentile in their MBM region.Note
These two updates would ensure that the historical
standard is preserved (i.e., one multiplier for all the MBM regions), while allowing
for the expenditure values to reflect more closely those of the MBM reference
family. Using the historical expenditure categories when updating the
expenditure values to the most recent SHS data available would allow for
consistency between MBM bases and maintain the underlying structure of this
component in the MBM basket.
It is proposed that the provincial-level
all-items CPI would continue to be used to adjust the 2023-base other expenses component costs for years other than the base year.
Proposed 2023-base Northern Market Basket Measure methodology
The proposed methodology for the 2023-base
MBM-N would be the same as the one proposed for the provincial MBM. The updated
multiplier (i.e., derived using the new SHS universe, latest SHS data and
excluding the communication service expenditure categories) would be applied to
the food and clothing cost per MBM-N region to estimate a dollar amount for the other expenses component.Note
As was done in the 2018-base, the territorial-level all-items CPI would be used to adjust the 2023-base other expenses component costs to years other than the base year.
Market Basket Measure and Northern Market Basket Measure threshold comparison
Given the redesign of the other expenses
component caused by the introduction of the communication services component
threshold, comparisons are not possible between the 2018-base and proposed 2023-base.
Therefore, Table A.5 only presents the other expenses component costs, by MBM
and MBM-N region, for a reference family of four (five in Nunavut) in 2023.
| Market Basket Measure geography | 2023-base |
|---|---|
| dollars | |
|
|
| Newfoundland and Labrador | |
| Rural | 9,650 |
| Population under 30,000 Table A.5 Note 2 | 9,621 |
| Population 30,000 to 99,999 Table A.5 Note 3 | … not applicable |
| St. John’s | 9,588 |
| Prince Edward Island | |
| Rural | 9,268 |
| Population under 30,000 | 9,345 |
| Charlottetown | 9,334 |
| Nova Scotia | |
| Rural | 9,292 |
| Population under 30,000 | 9,263 |
| Population 30,000 to 99,999 | 9,377 |
| Halifax | 9,364 |
| Cape Breton | 9,279 |
| New Brunswick | |
| Rural | 9,264 |
| Population under 30,000 | 9,328 |
| Population 30,000 to 99,999 | 9,404 |
| Fredericton | 9,572 |
| Saint John | 9,377 |
| Moncton | 9,563 |
| Quebec | |
| Rural | 9,573 |
| Population under 30,000 | 9,386 |
| Population 30,000 to 99,999 | 9,506 |
| Population 100,000 to 499,999 | 9,392 |
| Québec | 9,457 |
| Montréal | 9,556 |
| Ontario | |
| Rural | 9,214 |
| Population under 30,000 | 9,128 |
| Population 30,000 to 99,999 | 9,012 |
| Population 100,000 to 499,999 | 8,802 |
| Population 500,000 and over | 8,818 |
| Ottawa-Gatineau, Ontario part | 9,011 |
| Hamilton/Burlington | 8,801 |
| Toronto | 8,724 |
| Manitoba | |
| Rural | 9,637 |
| Population under 30,000 | 9,506 |
| Population 30,000 to 99,999 | 8,723 |
| Brandon | 9,745 |
| Winnipeg | 9,290 |
| Saskatchewan | |
| Rural | 9,088 |
| Population under 30,000 | 9,121 |
| Population 30,000 to 99,999 | 9,175 |
| Saskatoon | 9,158 |
| Regina | 9,134 |
| Alberta | |
| Rural | 9,342 |
| Population under 30,000 | 9,324 |
| Population 30,000 to 99,999 | 9,296 |
| Population 100,000 to 499,999 | 9,313 |
| Edmonton | 9,277 |
| Calgary | 9,469 |
| British Columbia | |
| Rural | 9,389 |
| Population under 30,000 | 9,333 |
| Population 30,000 to 99,999 | 9,250 |
| Population 100,000 to 499,999 | 9,238 |
| Vancouver | 9,345 |
| Yukon | |
| Rural North | 11,254 |
| Rural South | 12,455 |
| Whitehorse | 10,000 |
| Northwest Territories | |
| Beaufort Delta | 16,332 |
| Sahtu | 17,744 |
| Tlicho | 13,680 |
| Dehcho | 14,276 |
| South Slave | 13,001 |
| Yellowknife | 11,238 |
| Nunavut | |
| Baffin (excluding Iqaluit) | 20,285 |
| Kivalliq | 17,545 |
| Kitikmeot | 19,486 |
| Iqaluit | 19,376 |

(New) Communication services component
Proposed 2023-base MBM methodology
There was no separate communication
services component in the 2018-base methodology. Costs associated with these
services were implicitly accounted for in the numerator of the other expenses multiplier.
In addition, since the MBM 2018-base uses data from the 2008 and 2009 reference
years of the SHS, a period when expenditures on cell phones were relatively low compared with today, an additional amount for cell phone services was added to
the 2018-base’s other expenses component.
For the 2023-base, it is proposed that a
separate costed communication services component be created and comprise of the
following three subcomponents: landline services, cell phone services and Internet
access services.
The proposed communication services
component aligns with the intent of the MBM to reflect the costs of good and
services required for a modest, basic standard of living. The proposal also
aligns with the universal service objective established by the Canadian
Radio-television and Telecommunications Commission (CRTC) whereby Canadians, in
urban areas as well as in rural and remote areas should have access to voice
services and broadband Internet access services, on both fixed and mobile
wireless networks.Note ,Note To
recognize costs associated with landlines, which are not included in CRTC’s
basic affordable standard but are still used by a substantial portion of the
population, it is proposed that a weightedNote
cost of landline services be included in the communication services component. Furthermore,
given the varying costs between rural and urban communities, a separate
communication services component cost would be calculated for rural and urban
regions per province. Finally, given that there is no standard available for
communications equipment (e.g., cell phones, routers, modems, etc.), it is
proposed that costs for communications equipment continue to be included in the
other expenses component.
- Landline services
While landline
usage has been declining over recent years, a large proportion of Canadian households
in the lower end of the income distribution still reported having expenditures
on landline services and equipment in 2023.NoteIt is proposed that the costs for landline services be based on the
annual price for basic landline services in each province, including a one-time
installation fee.The costs of
these service plans would be based on the average price for basic wireline
telephone services in rural and urban areas of each province in 2018, using
CRTC’s 2019 Communications
Monitoring Report.NoteIt is proposed
that the installation fees be based on an average cost collected from a variety
of service providers and be amortized over five years. - Cell phone services
Given the composition of the MBM reference family,Note it is proposed that the communications component should cost out cell
phone plans for the two adult members of the reference family.Note The proposed cost for cell phone services would include the annual
price for two cell phone plan subscriptions including two subscriber identity module (SIM) cards and their activation fees.The proposed
method would use the standard established by the CRTC for a bring-your-own-device
(BYOD) plan for the cell phone plan subscription cost. The CRTC mandated that,
by July 14, 2021, all major cell phone service providers must provide a minimum
plan that costs $35 per month that includes three gigabytes of monthly data,
unlimited Canada-wide incoming and outgoing calls, and unlimited text messages.
All geographies (urban and rural, by province) had a mobile plan that met this
minimum of $35. If the average price of the three lowest plans for a geography
was less than $35, the average price would be used.NoteThe cost of the
SIM card and activation fee for the cell phone services was calculated using
the fees listed on selected cell phone service provider websites and amortized
over five years. Note - Internet access services
The proposed
methodology for estimating residential Internet access service costs would also
be based on the CRTC standard established in 2016. The
total cost for Internet access services would include an amortized one-time
installation fee and be based on an Internet plan that has a download speed of
at least 50 megabits per second (Mbps), an upload speed of at least 10 Mbps and
unlimited data usage.NoteThe costs of
these plans were estimated using the lowest reported prices for residential
broadband Internet access service (download speed of 50 Mbps, upload speed of 10
Mbps, unlimited gigabytes per month) in rural and urban areas for each province
in 2022.Note
To ensure that the costs reflected a modest, basic standard of living, the average
price of the lowest three prices per geography (urban and rural, by province)
was used, when possible. The one-time internet installation fees were estimated
by taking the average posted installation fee from major internet service
providersNote
and were amortized over five years.
It is proposed that the provincial-level
communication CPI be used to adjust the 2023 communication services component costs for other years.
Proposed 2023-base Northern Market Basket Measure methodology
The 2023-base MBM methodology would be similar
to the one proposed for the provinces, specifically, the same three subcomponents (i.e., landline services, cell phone services and Internet access services). As well, it would be estimated and aggregated in a similar manner
but using prices in the territories.Note
It is proposed that the territorial-level
communication CPI be used to adjust the 2023 communication services component
costs for other years in Yukon and the Northwest Territories while the territory-level
all-items CPI would be used in Nunavut.
Market Basket Measure and Northern Market Basket Measure
threshold comparison
Although no historical comparison is
possible, Table A.6 presents the proposed communication services component costs for urban and rural areas by province and territory.
Using the 2023-base proposed methodology,
rural regions in the province would have slightly higher communication service
component costs compared with the urban regions within their respective
province.
| 2023-base | ||
|---|---|---|
| Urban | Rural | |
| dollars | ||
|
||
| Province or territory | ||
| Newfoundland and Labrador | 1,972 | 2,019 |
| Prince Edward Island | 1,795 | 1,855 |
| Nova Scotia | 1,841 | 1,853 |
| New Brunswick | 1,942 | 1,952 |
| Quebec | 1,664 | 1,771 |
| Ontario | 1,642 | 1,698 |
| Manitoba | 1,731 | 2,225 |
| Saskatchewan | 1,762 | 1,916 |
| Alberta | 1,586 | 1,811 |
| British Columbia | 1,623 | 2,138 |
| Yukon | 2,603 | 2,622 |
| Northwest Territories | 2,530 | 2,545 |
| Nunavut | 1,840 | 2,581 |

Inuusiqattiarniq component (Nunavut only)
2018-base Northern Market Basket Measure methodology
The inuusiqattiarniq component, unique to
the Nunavut MBM-N, is based on the Nunavut MBM-N reference family and only
included costs incurred by residents of Nunavut. Based on the 2019 Nunavut Roundtable for Poverty Reduction and follow-up outreach activities, it was proposed that the inuusiqattiarniq component be informed by the following four pillars: (1) Culture and
language, (2) Healthy personal relationships, (3) Trauma services and (4)
Addiction treatment. Since the majority of costs, associated with programs and
activities that support these pillars, are covered through grants or other
territorial or federal funding, the majority of costs implicated for the MBM
are in relation to the culture and language pillar. Furthermore, despite the
coverage of costs, it was acknowledged that families in Nunavut still had out-of-pocket
expenses when engaging in these activities. For example, not all cultural and
language expenses were covered by a funding model, so an additional amount needed
to be added.
Since enumerating and costing individual
items deemed necessary to maintain knowledge, language and cultural activities
is highly impractical, the inuusiqattiarniq component pricing methodology was determined
based on expert judgement. A fixed multiplier (25%), serving to approximate the
overall cost for possible items that could potentially support the above-mentioned
activities, was applied to the cost of the other expenses component to estimate thresholds for the inuusiqattiarniq component.
The inuusiqattiarniq component cost was
applied only to Indigenous families when determining their poverty status.Note For the
determination of poverty status among non-Indigenous families, the
inuusiqattiarniq component was removed.
After costing the inuusiqattiarniq
component for the base year, the territory-level all-items CPI for Nunavut was
used to adjust the component cost for other years.
Proposed 2023-base Northern Market Basket Measure methodology
For the 2023-base MBM-N, in the absence of
new data sources that can inform the component’s costing approach, it is proposed that the inuusiqattiarniq component follow the 2018-base MBM-N methodology. Therefore, the fixed multiplier used in the previous base would continue to be used for the 2023-base.
Similar to the 2018-base, after the cost of
the inuusiqattiarniq component is estimated for the base year, the territory-level
all-items CPI for Nunavut would continue be used to adjust the component cost
for other years.
Northern Market Basket Measure threshold comparison
In Table A.7, the differences between the
2018-base and proposed 2023-base inuusiqattiarniq component costs are presented, for the Nunavut reference family of
five in 2023.
| Market Basket Measure geography | 2018-base | 2023-base | Difference | |
|---|---|---|---|---|
| dollars | dollars | percent | ||
|
||||
| Nunavut | ||||
| Baffin (excluding Iqaluit) | 7,705 | 6,737 | -968 | -12.6 |
| Kivalliq | 6,609 | 5,827 | -782 | -11.8 |
| Kitikmeot | 7,234 | 6,471 | -763 | -10.5 |
| Iqaluit | 7,164 | 6,435 | -729 | -10.2 |
Proposed changes to the Market Basket Measure disposable
income
For a family or individual to be in
poverty, according to the MBM their disposable income must be less than the
basket threshold amount for their family size and region.
MBM disposable income will continue to be defined
as total income (including government transfers) after deducting income tax,
Canada Pension Plan and Quebec Pension Plan contributions, Employment Insurance
Plan and Registered Pension Plan contributions, union dues, child care
expenses, spousal support payments paid, public health insurance premiums, and
direct medical expenses, including private insurance premiums. In addition,
adjustments for different tenure types and for taxes paid on capital gains
would continue to be made.

Tenure type adjustments
Beginning with the 2018-base methodology, tenure
type adjustments (TTAs) for housing tenure types were created for homeownership
with or without mortgages and for those residing in subsidized dwellings, again
following the National Occupancy Standard (NOS) standard set out by the Canada Mortgage
and Housing Corporation (CMHC) for the reference family size and composition.
This was done to place families in all tenure types on a more equal footing to
those families in non-subsidized rental units (the tenure type presented in the
shelter component), when determining their poverty status.
The TTA represents the difference between
the shelter costs of non-subsidized renters (e.g., cost of the shelter
component) and the shelter cost of a particular tenure type (e.g., subsidized
renters, homeowners with a mortgage and homeowners without a mortgage). If the
difference is less than $0, the TTA is set to $0.
Equivalent TTA values for other family
sizes are computed using the square root method. These TTAs are then added to
disposable income when evaluating poverty status.
Summary of the process
2018-base tenure type adjustment
methodology for the Market Basket Measure
The calculation of individual tenure type
shelter costs in the provinces was done using the median cost for a
three-bedroom dwelling for households in the second income decile.Note The
methodology used either a quantile regression model or a sampling median to
estimate the median cost per MBM region. In MBM regions where there were too
few observations to have a high-quality sampling estimate, a quantile
regression model was used to estimate the cost of a three-bedroom unit.
Finally, once shelter costs were estimated for the different tenure types, the
TTAs were calculated.
Once the TTAs were estimated for the base
year (2018), the costs were updated annually using the provincial-level all-items
CPI.
2018-base tenure type adjustment
methodology for the Northern Market Basket Measure
The calculation of individual TTAs in the territories
involved different methodologies to cost shelter based on the territory. In
Yukon and the Northwest Territories, a quantile regression model was used to
estimate the median shelter cost per tenure for three-bedroom dwellings per
MBM-N region and households in the second income decile. The TTAs were then derived
by subtracting the shelter cost of a particular tenure from the non-subsidized renter
threshold (shelter component cost). Once the TTAs were estimated for the base
year (2018), the TTAs were updated annually using the provincial all-items CPI. In Nunavut, shelter costs per tenure were estimated using a sampling mean using
households with a before-tax household income in the first seven income deciles
of the income distribution of their region.
Proposed 2023-base tenure type adjustment methodologies
As was done with the 2018-base MBM and
MBM-N methodologies, it is proposed that both the MBM and MBM-N 2023-base methodologies
continue to use the TTAs to account for differing shelter costs based on the tenure
type.Note
Proposed 2023-base provincial
tenure type adjustment methodologies
For all tenure types, the median shelter
cost will continue to be estimated per MBM region for households in the second
income decile living in a three-bedroom dwelling. As
was done for the shelter component on the basket side, the calculation of
tenure type thresholds for the 2023-base would use a combination of a quantile
regression model and a sampling median to estimate the monthly payment amount
depending on the number of observations available for each MBM region. The
2023-base quantile regression modelNote
(used to estimate shelter costs in smaller geographic areas where small samples
make it difficult to produce a good quality estimate) would be very similar to
the 2018-base model in that it would estimate the monthly amount using the
number of bedrooms, the household income decile, and the MBM region. However,
additional variables were added to the 2023-base model to improve its
prediction capabilities.Note
Homeowners with mortgages
For owners with a mortgage, the threshold would
still consist of the sum of utilities (e.g., electricity, fuel, water, and
other municipal services), municipal taxes, condo fees (if applicable), appliances, insurance, and annual interest costs.
For the 2023-base, it is proposed that a
new estimation methodology be applied when calculating the annual interest
amount. The new methodology allows for the calculation
of interest costs to account for the number of bedrooms and allows for an
estimation of interest costs per MBM region.Note
The annual interest cost would be calculated per MBM
region and per age group using the 2023 Canadian Housing Survey (CHS) and the
Census of Population. First, the interest portion of the monthly mortgage
amount would be estimated per age group and region using the 2023 CHS and a
composite mortgage interest rate.Note
Because of sample size constraints, the provinces were divided into 12
geographic regionsNote
and three age groupsNote
for a total of 36 domains. The CHS proportions were then applied to the Census
mortgage payment amount to obtain an estimate of the annual amount of interest
paid on the mortgage per MBM region and age group.
For reference years other than the base
year, the non-interest portion of the TTA would be adjusted using the provincial-level
all-items CPIs, while the interest portion would be re-calculated using an
interest rate based on all 2023 existing loans in Canada as is done by
Statistics Canada’s CPD when deriving the Mortgage Interest Cost Index (MICI).
Homeowners without mortgages
For owners without a mortgage, the
threshold would still consist of the sum of utilities (e.g., electricity, fuel,
water and other municipal services), municipal taxes, condo fees (if applicable), appliances and insurance.
After calculating the threshold for the
base year, the provincial-level all-items CPIs would be used to adjust them to
other reference years.
Subsidized renters
The subsidized renter threshold would still
be comprised of the cost of rent, utilities (e.g., electricity, fuel, water and
other municipal services), appliances and insurance.
Adjustments to other reference years would
be based on the provincial-level all-items CPIs.
Proposed 2023-base
territorial tenure type adjustment methodologies
For all tenure types, it is proposed to
follow the MBM-N shelter component methodology for the territorial TTAs, i.e., to use the sampling mean to cost a three-bedroom dwelling per tenure. For subsidized renters, all households with a before-tax household
income in the first five income deciles of the income distribution of their
region would be used, while households with an income within the first seven
income deciles would be used for homeowners.Note The use of
the sampling mean is proposed for two reasons. The first reason is that all
households outside the capitals completed the 2021 Census long-form
questionnaire (e.g., no sampling), which improved the quality of the sample
estimates. The second reason is that the response rates to the census long-form
questionnaire in the territories were high.Note
Homeowners with mortgages
For homeowners with a mortgage the cost would
continue to include utilities (e.g., electricity, fuel, water and other
municipal services), municipal taxes, condo fees (if applicable), appliances, insurance and annual interest costs.
As for the 2023-base TTA for homeowners in
the provinces, it is proposed to use the same new estimation methodology to calculate the annual interest amount paid on the mortgage, but using two age groups instead of three because of the smaller sample sizes. The two age groups
are created using the age of the major income earner. The first group would include households where the major income earner is younger than 50 years old,
and the second group would include households where the major income earner is 50
years old or older.
For reference years other than the base
year, the non-interest portion of the TTA would be adjusted using the territorial-level
all-items CPIs, while the interest portion would be re-calculated using an
interest rate based on all 2023 existing loans in Canada as is done by
Statistics Canada’s CPD when deriving the Mortgage Interest Cost Index (MICI).
Homeowners without mortgages
For homeowners without a mortgage, the cost
would continue to include utilities (e.g., electricity, fuel, water and other municipal services), municipal taxes, condo fees (if applicable), appliances and insurance.
Once the TTAs are calculated for the base
year, it is proposed that they be annually updated using the territorial-level
all-items CPI.
Subsidized renters
The subsidized renter cost would continue
to include the paid rent, utilities (e.g., electricity, fuel, water, and other
municipal services), and insurance.
Once the TTAs are calculated for the base year, it is proposed that they be annually updated using the territorial-level
all-items CPI.
Market Basket Measure and Northern
Market Basket Measure tenure type adjustment comparison
Tables A.8.1 and A.8.2 present the 2018-base and
proposed 2023-base TTA amounts by MBM and MBM-N region.
| Market Basket Measure geography | 2018-base | 2023-base | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Renters in subsidized dwellings |
Homeowners with a mortgage, household head aged |
Homeowners without a mortgage |
Renters in subsidized dwellings |
Homeowners with a mortgage, household head aged |
Homeowners without a mortgage |
|||||
| Younger than 40 years | 40 to 60 years | 61 years and older | Younger than 40 years | 40 to 60 years | 61 years and older | |||||
| dollars | dollars | |||||||||
|
Note: 2023-base Market Basket Measure thresholds are preliminary Source: Statistics Canada. Custom tabulation. |
||||||||||
| Newfoundland and Labrador | ||||||||||
| Rural | 2,722 | 0 | 990 | 2,058 | 5,462 | 3,729 | 747 | 928 | 1,652 | 5,578 |
| Population under 30,000 Table A.8.1 Note 1 | 5,040 | 0 | 1,029 | 2,025 | 5,304 | 5,822 | 1,038 | 1,309 | 2,713 | 6,573 |
| Population 30,000 to 99,999Table A.8.1 Note 2 | 6,235 | 1,520 | 3,111 | 4,917 | 7,032 | … not applicable | … not applicable | … not applicable | … not applicable | … not applicable |
| St. John’s | 8,770 | 2,706 | 4,298 | 4,893 | 7,190 | 8,358 | 0 | 442 | 1,975 | 6,973 |
| Prince Edward Island | ||||||||||
| Rural | 3,812 | 280 | 1,925 | 3,793 | 6,227 | 4,871 | 277 | 1,512 | 2,170 | 6,306 |
| Population under 30,000 | 4,943 | 498 | 2,144 | 4,011 | 5,929 | 8,489 | 956 | 4,390 | 4,423 | 8,980 |
| Charlottetown | 6,358 | 2,140 | 3,786 | 5,654 | 7,329 | 9,855 | 3,282 | 4,964 | 6,394 | 10,710 |
| Nova Scotia | ||||||||||
| Rural | 2,722 | 0 | 1,305 | 1,995 | 5,595 | 4,657 | 828 | 1,808 | 1,732 | 6,258 |
| Population under 30,000 | 3,826 | 0 | 1,452 | 3,297 | 5,094 | 6,733 | 589 | 2,591 | 1,879 | 6,215 |
| Population 30,000 to 99,999 | 4,340 | 898 | 2,524 | 4,370 | 6,522 | 5,959 | 2,026 | 2,849 | 2,299 | 7,165 |
| Halifax | 7,783 | 5,030 | 6,813 | 7,509 | 10,112 | 8,299 | 992 | 3,811 | 4,561 | 9,949 |
| Cape Breton | 6,665 | 556 | 2,181 | 4,027 | 6,566 | 6,590 | 1,266 | 2,514 | 2,019 | 6,607 |
| New Brunswick | ||||||||||
| Rural | 3,892 | 0 | 494 | 1,940 | 4,838 | 4,874 | 76 | 1,398 | 1,676 | 6,006 |
| Population under 30,000 | 4,880 | 0 | 1,490 | 3,339 | 5,575 | 5,697 | 0 | 1,127 | 626 | 5,658 |
| Population 30,000 to 99,999 | 4,909 | 0 | 1,593 | 3,442 | 5,959 | 5,558 | 0 | 1,742 | 789 | 5,944 |
| Fredericton | 7,253 | 2,727 | 4,356 | 6,205 | 8,421 | 8,399 | 1,887 | 3,364 | 3,073 | 8,774 |
| Saint John | 5,337 | 281 | 1,910 | 3,759 | 5,339 | 7,343 | 0 | 1,486 | 1,110 | 6,717 |
| Moncton | 6,221 | 1,871 | 3,500 | 5,349 | 6,740 | 9,636 | 2,802 | 4,638 | 3,754 | 9,437 |
| Quebec | ||||||||||
| Rural | 4,476 | 0 | 0 | 1,526 | 4,281 | 2,803 | 0 | 0 | 0 | 3,567 |
| Population under 30,000 | 3,962 | 0 | 0 | 803 | 3,121 | 3,150 | 0 | 0 | 0 | 3,269 |
| Population 30,000 to 99,999 | 4,535 | 0 | 0 | 1,292 | 4,134 | 2,670 | 0 | 0 | 0 | 3,655 |
| Population 100,000 to 499,999 | 5,107 | 0 | 0 | 1,446 | 4,134 | 2,003 | 0 | 0 | 0 | 4,069 |
| Québec | 6,736 | 0 | 56 | 3,156 | 5,646 | 5,206 | 0 | 0 | 438 | 5,420 |
| Montréal | 6,677 | 0 | 464 | 2,980 | 4,985 | 5,753 | 0 | 0 | 9 | 5,088 |
| Ontario | ||||||||||
| Rural | 4,963 | 0 | 0 | 1,617 | 5,740 | 6,749 | 0 | 0 | 258 | 6,662 |
| Population under 30,000 | 8,032 | 0 | 837 | 2,594 | 6,606 | 8,146 | 0 | 0 | 818 | 6,406 |
| Population 30,000 to 99,999 | 9,647 | 0 | 1,385 | 2,849 | 7,149 | 9,221 | 0 | 508 | 1,551 | 7,029 |
| Population 100,000 to 499,999 | 10,322 | 599 | 2,540 | 4,053 | 8,295 | 13,289 | 0 | 1,750 | 4,159 | 10,157 |
| Population 500,000 and over | 12,525 | 2,341 | 4,821 | 6,578 | 10,468 | 13,597 | 0 | 2,528 | 5,099 | 11,115 |
| Ottawa-Gatineau, Ontario part | 13,597 | 4,355 | 6,162 | 7,381 | 11,290 | 14,771 | 1,085 | 3,090 | 5,271 | 12,550 |
| Hamilton/Burlington | 10,866 | 670 | 2,939 | 4,255 | 8,647 | 17,250 | 0 | 3,515 | 5,953 | 13,501 |
| Toronto | 15,197 | 0 | 911 | 3,070 | 12,582 | 17,148 | 0 | 0 | 3,555 | 15,039 |
| Manitoba | ||||||||||
| Rural | 4,150 | 0 | 0 | 958 | 6,009 | 4,870 | 0 | 0 | 1,503 | 5,734 |
| Population under 30,000 | 6,640 | 0 | 1,393 | 3,252 | 7,950 | 6,879 | 1,087 | 2,289 | 2,849 | 8,153 |
| Population 30,000 to 99,999 | 5,588 | 22 | 1,661 | 3,520 | 7,387 | 6,123 | 640 | 2,156 | 2,769 | 8,412 |
| Brandon | 6,225 | 0 | 1,620 | 3,480 | 7,713 | 6,098 | 0 | 246 | 2,704 | 7,795 |
| Winnipeg | 10,657 | 2,936 | 3,892 | 5,381 | 10,574 | 10,755 | 372 | 2,862 | 5,265 | 10,946 |
| Saskatchewan | ||||||||||
| Rural | 2,789 | 0 | 0 | 856 | 5,783 | 3,590 | 0 | 0 | 0 | 4,364 |
| Population under 30,000 | 4,938 | 0 | 1,189 | 3,011 | 7,351 | 5,089 | 0 | 705 | 945 | 6,260 |
| Population 30,000 to 99,999 | 5,272 | 407 | 2,013 | 3,835 | 8,048 | 5,171 | 0 | 1,020 | 550 | 6,582 |
| Saskatoon | 5,359 | 2,758 | 4,363 | 6,184 | 11,098 | 6,221 | 0 | 2,214 | 3,459 | 10,702 |
| Regina | 5,054 | 2,332 | 3,937 | 5,758 | 9,965 | 6,355 | 85 | 3,092 | 3,379 | 10,138 |
| Alberta | ||||||||||
| Rural | 7,880 | 748 | 1,557 | 4,769 | 9,580 | 4,741 | 0 | 0 | 0 | 5,455 |
| Population under 30,000 | 8,870 | 1,210 | 2,545 | 5,724 | 9,900 | 7,353 | 0 | 1,288 | 2,512 | 8,209 |
| Population 30,000 to 99,999 | 7,239 | 234 | 1,844 | 3,670 | 10,337 | 7,638 | 0 | 0 | 3,654 | 9,744 |
| Population 100,000 to 499,999 | 7,938 | 1,109 | 2,719 | 4,547 | 9,609 | 8,301 | 0 | 1,953 | 3,874 | 8,943 |
| Edmonton | 13,516 | 3,828 | 5,194 | 8,948 | 13,090 | 13,149 | 0 | 764 | 3,272 | 10,731 |
| Calgary | 14,915 | 4,787 | 5,679 | 9,628 | 13,745 | 11,597 | 0 | 129 | 2,537 | 10,378 |
| British Columbia | ||||||||||
| Rural | 3,528 | 0 | 1,841 | 2,086 | 8,341 | 6,647 | 0 | 0 | 1,059 | 9,350 |
| Population under 30,000 | 3,484 | 0 | 2,465 | 3,182 | 8,934 | 6,971 | 0 | 86 | 2,982 | 8,996 |
| Population 30,000 to 99,999 | 4,981 | 823 | 3,167 | 3,494 | 9,571 | 7,228 | 0 | 653 | 2,749 | 9,585 |
| Population 100,000 to 499,999 | 8,509 | 3,152 | 6,491 | 6,858 | 12,551 | 11,732 | 0 | 2,708 | 6,146 | 14,239 |
| Vancouver | 10,732 | 4,214 | 2,518 | 6,422 | 13,752 | 14,864 | 0 | 0 | 6,446 | 17,162 |
| Market Basket Measure geography | 2018-base | 2023-base | |||||
|---|---|---|---|---|---|---|---|
| Renters in subsidized dwellings |
Homeowners with a mortgage | Homeowners without a mortgage |
Renters in subsidized dwellings |
Homeowners with a mortgage, household head aged |
Homeowners without a mortgage |
||
| All ages | Younger than 50 years | 50 years and older | |||||
| dollars | dollars | ||||||
|
|||||||
| Yukon | |||||||
| Rural North | 6,956 | 0 | 6,512 | 4,609 | 0 | 720 | 5,434 |
| Rural South | 4,858 | 0 | 6,729 | 4,244 | 0 | 0 | 5,637 |
| Whitehorse | 9,776 | 3,861 | 13,340 | 6,670 | 2,579 | 5,120 | 13,708 |
| Northwest Territories | |||||||
| Beaufort Delta | 21,045 | 3,680 | 13,560 | 11,162 | 2,649 | 4,337 | 9,322 |
| Sahtu | 16,947 | 2,412 | 10,843 | 7,337 | 713 | 2,400 | 8,857 |
| Tlicho | 16,132 | 1,485 | 8,162 | 8,413 | 0 | 0 | 5,742 |
| Dehcho | 17,025 | 4,118 | 11,756 | 7,835 | 0 | 0 | 7,104 |
| South Slave | 16,625 | 2,709 | 9,730 | 9,492 | 1,542 | 3,229 | 7,618 |
| Yellowknife | 16,586 | 7,536 | 15,358 | 12,471 | 8,168 | 8,864 | 16,477 |
| Nunavut | |||||||
| Baffin (excluding Iqaluit) | 21,844 | 13,720 | 17,226 | 23,299 | 9,934 | 11,197 | 16,896 |
| Kivalliq | 21,844 | 13,720 | 17,226 | 23,299 | 9,934 | 11,197 | 16,896 |
| Kitikmeot | 21,844 | 13,720 | 17,226 | 23,299 | 9,934 | 11,197 | 16,896 |
| Iqaluit | 21,816 | 25,573 | 29,231 | 22,375 | 12,776 | 14,781 | 25,358 |

Medical expense imputation
Medical expenses are one of the
non-discretionary expenses that are deducted from after-tax income to derive
disposable income for the MBM. These medical expenses include out-of-pocket
expenses, and health care and dental plan insurance premiums.Note
The MBM methodology first uses medical
expenses amounts declared on tax forms,Note
then if a respondent aged 15 years or olderNote
is not linked to tax data or if their medical claim for tax purposes is zero,Note an imputation value is used.Note
This section explains how the imputation amount is calculated.
2018-base Market Basket Measure and Northern Market Basket
Measure methodologies
For the 2018-base MBM and MBM-N methodologies,
the medical imputation value for the base year was derived using 2014-to-2017
pooled SHS data and adjusted for other reference years using the provincial-level
health care consumer price CPI.Note
The 2018-base amount corresponds to the provincial or territorial sampling mean
of medical expenses among people in the second income decile not claiming an
amount on their tax return.
Proposed 2023-base Market Basket Measure and Northern
Market Basket Measure methodologies
During outreach activities, participants
mentioned that medical expenses should differ by age (e.g., seniors compared with
young people). Furthermore, internal research demonstrated that medical
expenses differ by age group in the provinces. Therefore, for the MBM, it is proposed that new imputation values for the 2023-base take into consideration the age of the individual not claiming medical expenses. For the MBM-N, it is not possible to calculate imputation amounts per age group because of data restrictions.
The proposed 2023-base imputation amounts would
also be updated to use the most recent SHS data available and would be adjusted using the same price inflator as in the 2018-base. In summary, the new imputation amount would differ from the 2018-base in that it would correspond
to the provincial average of medical expenses by age groupNote among people
in the second income decile who are not claiming an amount on their tax return, and by age group.
Similar to the 2018-base, the proposed
2023-base medical expenses imputation amount for people who did not claim a medical expense on their tax form would be estimated using a two-step process. First, the average per province and per age group medical expendituresNote would be calculated using the 2017, 2019 and 2021 SHS data. Next, using the 2019-to-2023 Canadian Income Survey data, the average expenditures for medical expenses per
person and age group who do not claim a medical expense is estimated.
Market Basket Measure and Northern Market Basket Measure medical expense imputation amount
Given the changes in the imputation
methodology, direct comparisons between the 2018-base and proposed 2023-base
imputation amounts are difficult. In Tables A.9.1 and A.9.2, the proposed 2023-base
imputation amounts are presented by age groups and different geographies. In
addition, the average proposed 2023-base imputation amounts are presented for
comparison to the 2018-base imputation amounts.
| 2018-base | 2023-base | |||||
|---|---|---|---|---|---|---|
| All ages | 16 to 34 years | 35 to 54 years | 55 to 74 years | 75 years and older | Average | |
| dollars | dollars | |||||
| Source: Statistics Canada. Custom tabulation. | ||||||
| Geography | ||||||
| Newfoundland and Labrador | 478 | 325 | 1,197 | 428 | 366 | 579 |
| Prince Edward Island | 676 | 690 | 1,022 | 1,164 | 764 | 910 |
| Nova Scotia | 471 | 766 | 701 | 482 | 660 | 652 |
| New Brunswick | 414 | 514 | 522 | 823 | 822 | 670 |
| Quebec | 306 | 557 | 203 | 406 | 400 | 391 |
| Ontario | 533 | 497 | 515 | 679 | 226 | 479 |
| Manitoba | 558 | 764 | 537 | 1,231 | 571 | 776 |
| Saskatchewan | 624 | 755 | 652 | 1,383 | 434 | 806 |
| Alberta | 503 | 563 | 723 | 575 | 480 | 585 |
| British Columbia | 616 | 651 | 1,003 | 954 | 503 | 778 |
| 2018-base | 2023-base | |
|---|---|---|
| dollars | dollars | |
| Source: Statistics Canada. Custom tabulation. | ||
| Geography | ||
| Yukon | 606 | 914 |
| Northwest Territories | 721 | 711 |
| Nunavut | 424 | 947 |
Appendix B
| Concept | Market Basket Measure for the provinces | Change between bases |
|
|---|---|---|---|
| 2018-base | 2023-base | ||
| Source: Statistics Canada. Authors’ tabulation. | |||
| Food component | Health Canada’s 2019 National Nutritious Food Basket | Health Canada’s 2019 National Nutritious Food Basket | – |
| 5% is added to the total cost for miscellaneous foods and beverages. | 5% is added to the total cost for miscellaneous foods and beverages. | – | |
| Prices collected in 38 cities, using an in-store collection method. | Prices collected in 916 cities, using scanner data. | ✓ | |
| Annual adjustments use the provincial food purchased from stores indexes. | Annual adjustments use the provincial food purchased from stores indexes. | – | |
| Clothing and footwear component | 2012 Social Planning Council of Winnipeg and Winnipeg Harvest Acceptable Living Level basket | 2012 Social Planning Council of Winnipeg and Winnipeg Harvest Acceptable Living Level basket | – |
| Prices collected in 11 cities | Combination of instore collected prices (22 cities) and web-scrapped prices (national pricing strategy) | ✓ | |
| Annual adjustments use the provincial clothing and footwear index. | Annual adjustments use the provincial clothing and footwear index. | – | |
| Shelter component | Canada Mortgage and Housing Corporation’s National Occupancy Standard for reference family | Canada Mortgage and Housing Corporation’s National Occupancy Standard for reference family | – |
| Uses 2016 Census data | Uses 2021 Census data | ✓ | |
| Median rent for three-bedroom, non-subsidized rental unit, using either a sampling estimate or quantile regression model with three explanatory variables | Median rent for three-bedroom, non-subsidized rental unit, using either a sampling estimate or quantile regression model with eight explanatory variables | ✓ | |
| Non-subsidized rental units | Non-subsidized rental units | – | |
| No adjustment for households reporting zero fuel and electricity costs | Imputation of utilities for households reporting zero fuel and electricity costs | ✓ | |
| Supplement for appliance costs | Supplement for appliance costs | – | |
| Provincial-level tenant’s insurance included | Provincial-level tenant’s insurance included | – | |
| Annual adjustments use the provincial all-items index. | Annual adjustments use the provincial all-items index. | – | |
| Transportation component | Uses a weighted (2016 Census) average of the cost of public transit and private transportation (population centres with fewer than 30,000 people have only private transportation costs) | Uses a weighted (2021 Census) average of the cost of public transit and private transportation (population centres with fewer than 30,000 people have only private transportation costs) | – |
| Weighted basket of five used compact cars and associated costs | Weighted basket of five used compact cars and associated costs | – | |
| Eight-year-old vehicles, amortized over five years with a 36-month financing term | Eight-year-old vehicles, amortized over five years with a 36-month financing term | – | |
| 1 200 litres of gas per year | Litres of gas per year are determined by Natural Resources Canada and vary at the provincial level and by rural and non-rural communities | ✓ | |
| Cost of monthly public transit passes for two adults and one child and an additional amount sufficient for 12 roundtrip taxi rides | Cost of monthly public transit passes for two adults and one child and an additional amount sufficient for 12 roundtrip taxi rides or rideshare rides | ✓ | |
| Annual adjustments use the provincial private or private transportation index. | Annual adjustments use the provincial private or private transportation index. | – | |
| Communication services component | Not applicable | Costs associated with landline services, cell phone services (one for each adult) and Internet access services | ✓ |
| Not applicable | Following universal service objective set by the Canadian Radio-television and Telecommunications Commission | ✓ | |
| Not applicable | Separate calculation for urban and rural communities for landlines services only | ✓ | |
| Not applicable | Annual adjustments use the provincial communications index | ✓ | |
| Other expenses component | Fixed multiplier (75.4%) using Survey of Household Spending data of the total cost of the food and clothing components for each Market Basket Measure region. | Fixed multiplier (53.4%) using Survey of Household Spending data of the total cost of the food and clothing components for each Market Basket Measure region. | ✓ |
| 49 expenditure categories in the numerator and 24 in the denominator | 46 expenditure categories in the numerator and 24 in the denominator | ✓ | |
| 2009 (x2) and 2008 reference years of Survey of Household Spending data | 2017, 2019 and 2021 reference years of Survey of Household Spending data | ✓ | |
| Universe: two adults and two children, second before-tax income decile | Universe: two adults (aged 25 to 64 years old) and two children (aged 6 to 16 years), between second and fifth before-tax income decile | ✓ | |
| Additional amount for cell phone services | Not applicable | ✓ | |
| Annual adjustments use the all-items index | Annual adjustments use the all-items index | – | |
| Disposable income | Total income (including government transfers), less income tax and several non-discretionary expenses | Total income (including government transfers), less income tax and several non-discretionary expenses | – |
| Tenure type adjustments for subsidized renters, homeowners with or without a mortgage, by each Market Basket Measure region Note: Tenure type estimations follow the shelter methodology. |
Tenure type adjustments for subsidized renters, homeowners with or without a mortgage, by each Market Basket Measure region Note: Tenure type estimations follow the shelter methodology. |
✓ | |
| Mortgage interest costs were derived using a five-year fixed rate and the Survey of Financial Security. | Mortgage interest costs were derived using the average rate of all existing lends in Canada, the Canada Housing Survey and census. | ✓ | |
| Medical expenses imputation uses a combination of 2015-to-2018 Canadian Income Survey data and 2014-to-2017 Survey of Household Spending data, by province | Medical expenses imputation uses a combination of 2019-to-2023 Canadian Income Survey data and 2017, 2019 and 2021 Survey of Household Spending data, by province and age | ✓ | |
| Adjustment made for capital gains tax | Adjustment made for capital gains tax | – | |
| Geography | 53 Market Basket Measure regions across the provinces: 19 specific communities and 34 population centre size and province combinations. | 52 Market Basket Measure regions across the provinces: 19 specific communities and 33 population centre size and province combinations. | ✓ |
| Concept | Northern Market Basket Measure for Yukon and Northwest Territories | Change between bases |
|
|---|---|---|---|
| 2018-base | 2023-base | ||
|
✓ denotes a change between the 2018-base and proposed 2023-base methodologies. Source: Statistics Canada. Authors’ tabulation. |
|||
| Food component | Health Canada’s 2019 National Nutritious Food Basket | Health Canada’s 2019 National Nutritious Food Basket | – |
| 5% is added to the total cost for miscellaneous foods and beverages | 5% is added to the total cost for miscellaneous foods and beverages | – | |
| Prices collected in the territorial capitals using in-store collection, adjusted using spatial indexes for outside the capitals. | Prices collected in the territorial capitals using scanner data, adjusted using spatial indexes for outside the capitals. | – | |
| Annual adjustments use the territorial food purchased from stores indexes | Annual adjustments use the territorial food purchased from stores indexes | – | |
| Clothing and footwear component | 2012 Social Planning Council of Winnipeg and Winnipeg Harvest Acceptable Living Level basket | 2012 Social Planning Council of Winnipeg and Winnipeg Harvest Acceptable Living Level basket | – |
| Prices collected in the territorial capitals. For outside the capitals, a weighted average of the costs associated one trip to the closest territorial capital and the cost of ordering online. | Prices collected in the territorial capitals. For outside the capitals, a weighted average of the costs associated one trip to the closest territorial capital and the cost of ordering online. | – | |
| Annual adjustments use the territorial clothing and footwear indexes | Annual adjustments use the territorial clothing and footwear indexes | – | |
| Shelter component | Canada Mortgage and Housing Corporation’s National Occupancy Standard for reference family | Canada Mortgage and Housing Corporation’s National Occupancy Standard for reference family | – |
| Uses 2016 Census data | Uses 2021 Census data | ✓ | |
| Average of modeled median rent for a three-bedroom, non-subsidized rental unit, using a quantile regression model | Average rent for a three-bedroom, non-subsidized rental unit, using the sampling estimate | ✓ | |
| Non-subsidized rental units | Non-subsidized rental units | – | |
| No supplement for appliance costs | No supplement for appliance costs | – | |
| Territorial-level tenant’s insurance included | Territorial-level tenant’s insurance included | – | |
| Annual adjustments use the territorial all-items index | Annual adjustments use the territorial all-items index | – | |
| Transportation component | Uses only private transportation costs | Uses only private transportation costs | – |
| Weighted basket of one used compact car and one used sport utility vehicle, and their associated costs | Weighted basket of five used compact car and basket of five used small sport utility vehicles and their associated costs | ✓ | |
| Eight-year-old vehicles, amortized over five years with a 36-month financing term | Eight-year-old vehicles, amortized over five years with a 36-month financing term | – | |
| 1 200 litres of gas per year in the capitals, a little more outside the capitals | 1 200 litres of gas per year in the capitals, a little more outside the capitals | – | |
| Not applicable (no public transportation costs) | Not applicable (no public transportation costs) | – | |
| For the fly-in communities of the Northwest Territories, costs are associated with purchase of a new mid-quality range all-terrain vehicle and snowmobile, amortized over 8 years with a 36-month financing term. | For the fly-in communities of the Northwest Territories, costs are associated with purchase of a new mid-quality range all-terrain vehicle and snowmobile, amortized over 8 years with a 36-month financing term. | – | |
| Annual adjustments use the territorial private or private transportation index. | Annual adjustments use the territorial private or private transportation index. | – | |
| Communication services component | Not applicable | Costs associated with landline services, cell phone services (one for each adult) and Internet access services. | ✓ |
| Not applicable | Following universal service objective set by the Canadian Radio-television and Telecommunications Commission | ✓ | |
| Not applicable | Separate calculation for urban and rural communities for landlines services only. | ✓ | |
| Not applicable | Annual adjustments use the territorial communications index | ✓ | |
| Other expenses component | Fixed multiplier (75.4%) using Survey of Household Spending data of the total cost of the food and clothing components for each Market Basket Measure region. | Fixed multiplier (53.4%) using Survey of Household Spending data of the total cost of the food and clothing components for each Market Basket Measure region. | ✓ |
| 49 expenditure categories in the numerator and 24 in the denominator | 46 expenditure categories in the numerator and 24 in the denominator | ✓ | |
| 2009 (x2) and 2008 reference year Survey of Household Spending data | 2021, 2019 and 2017 reference year Survey of Household Spending data | ✓ | |
| Universe: two adults and two children, second before-tax income decile | Universe: two adults (aged 25 to 64 years old) and two children (aged 6 to 16 years), between second and fifth before-tax income decile | ✓ | |
| Additional amount for cell phone services | Not applicable | ✓ | |
| Annual adjustments use the all-items index. | Annual adjustments use the all-items index. | – | |
| Disposable income | Total income (including government transfers), less income tax and several non-discretionary expenses | Total income (including government transfers), less income tax and several non-discretionary expenses | – |
| Tenure type adjustments for subsidized renters, homeowners with or without a mortgage, by each Northern Market Basket Measure region Note: Tenure type estimations follow the shelter methodology. |
Tenure type adjustments for subsidized renters, homeowners with or without a mortgage, by each Northern Market Basket Measure region. New with the 2023-base is the creation of two tenure type adjustments for homeowners with a mortgage in Yukon and the Northwest Territories based on the age of the major income earner of the household. Note: Tenure type estimations follow the shelter methodology. |
✓ | |
| Mortgage interest costs were derived using the average rate of all existing lends in Canada, the Canada Housing Survey and census. | Mortgage interest costs were derived using the average rate of all existing lends in Canada, the Canada Housing Survey and census. | – | |
| Medical expenses imputation uses a combination of 2015-to-2018 Canadian Income Survey data and 2014-to-2017 Survey of Household Spending data, by territory | Medical expenses imputation uses a combination of 2019-to-2023 Canadian Income Survey data and 2017, 2019 and 2021 Survey of Household Spending data, by territory | ✓ | |
| Adjustment made for capital gains tax | Adjustment made for capital gains tax | – | |
| Geography | Nine Northern Market Basket Measure regions across the two territories: one for each of the capitals and seven additional geographical groupings—two for Yukon and five for the Northwest Territories | Nine Northern Market Basket Measure regions across the two territories: one for each of the capitals and seven additional geographical groupings—two for Yukon and five for the Northwest Territories | – |
| Concept | Northern Market Basket Measure for Nunavut | Change between bases |
|
|---|---|---|---|
| 2018-base | 2023-base | ||
|
✓ denotes a change between the 2018-base and proposed 2023-base methodologies. Source: Statistics Canada. Authors’ tabulation. |
|||
| Food component | A modified version of Health Canada’s 2019 National Nutritious Food Basket to account for country food | A modified version of Health Canada’s 2019 National Nutritious Food Basket to account for country food | – |
| 5% is added to the total cost for miscellaneous foods and beverages. | 5% is added to the total cost for miscellaneous foods and beverages. | – | |
| Prices collected in the territorial capital using in-store collection, adjusted using spatial index for outside the capital. | Prices collected in the territorial capital using in-store collection, adjusted using spatial index for outside the capital. | – | |
| Annual adjustments use the territorial all-items index. | Annual adjustments use the territorial all-items index. | – | |
| Clothing and footwear component | A modified version of 2012 Social Planning Council of Winnipeg and Winnipeg Harvest Acceptable Living Level (ALL) basket to include traditional clothing | A modified version of 2012 Social Planning Council of Winnipeg and Winnipeg Harvest Acceptable Living Level (ALL) basket to include traditional clothing | – |
| Prices are collected in the territorial capitals. For outside the capitals, a weighted average of the costs associated one trip to the closest community and the cost of ordering online. | Prices are collected in the territorial capitals. For outside the capitals, a weighted average of the costs associated one trip to the closest community and the cost of ordering online. | – | |
| Annual adjustments use the territorial all-items index | Annual adjustments use the territorial all-items index | – | |
| Shelter component | Canada Mortgage and Housing Corporation’s National Occupancy Standard for reference family | Canada Mortgage and Housing Corporation’s National Occupancy Standard for reference family | – |
| Uses 2016 Census data | Uses 2021 Census data | ✓ | |
| Average rent for a three-bedroom, non-subsidized rental unit, using the sampling estimate | Average rent for a three-bedroom, non-subsidized rental unit, using the sampling estimate | – | |
| Non-subsidized rental units; because of data limitations, only one shelter cost estimate for all the regions outside of the capital is possible. | Non-subsidized rental units; because of data limitations, only one shelter cost estimate for all the regions outside of the capital is possible. | – | |
| No supplement for appliance costs | No supplement for appliance costs | – | |
| Territorial-level tenant’s insurance included | Territorial-level tenant’s insurance included | – | |
| Annual adjustments use the territorial all-items index. | Annual adjustments use the territorial all-items index. | – | |
| Transportation component | Uses only private transportation costs | Uses only private transportation costs | – |
| For all communities, costs are associated with purchase of a new mid-quality range all-terrain vehicle and snowmobile, amortized over 8 years with a 36-month financing term. | For all communities, costs are associated with purchase of a new mid-quality range all-terrain vehicle and snowmobile, amortized over 8 years with a 36-month financing term. | – | |
| Annual adjustments use the territorial all-items index. | Annual adjustments use the territorial all-items index. | – | |
| Communication services component | Not applicable | Costs associated with landline services, cell phone services (one for each adult) and internet access services | ✓ |
| Not applicable | Following universal service objective set by the Canadian Radio-television and Telecommunications Commission | ✓ | |
| Not applicable | Separate calculation for urban and rural communities for landlines services only | ✓ | |
| Not applicable | Annual adjustments use the all-items index | ✓ | |
| Other expenses component | Fixed multiplier (75.4%) using Survey of Household Spending data of the total cost of the food and clothing components for each Market Basket Measure region. | Fixed multiplier (53.4%) using Survey of Household Spending data of the total cost of the food and clothing components for each Market Basket Measure region. | ✓ |
| 49 expenditure categories in the numerator and 24 in the denominator | 46 expenditure categories in the numerator and 24 in the denominator | ✓ | |
| 2009 (x2) and 2009 reference years of Survey of Household Spending data | 2017, 2019 and 2021 reference years of Survey of Household Spending data | ✓ | |
| Universe: two adults and two children, second before-tax income decile | Universe: two adults (aged 25 to 64 years old) and two children (aged 6 to 16 years old), between second and fifth before-tax income decile | ✓ | |
| Additional amount for cell phone services | Not applicable | – | |
| Annual adjustments use the all-items index. | Annual adjustments use the all-items index. | – | |
| Inuusiqattiarniq component | Uses a fixed ratio based on expert judgement, multiplied against the other necessities component costs | Uses a fixed ratio based on expert judgement, multiplied against the other necessities component costs | – |
| Annual adjustments use the all-items index. | Annual adjustments use the all-items index. | – | |
| Disposable income | Total income (including government transfers), less income tax and several non-discretionary expenses | Total income (including government transfers), less income tax and several non-discretionary expenses | – |
| Tenure type adjustments for subsidized renters, homeowners with or without a mortgage, because of data limitations only one shelter cost estimate for all the regions outside of the capital is possible. Note: Tenure type estimations follow the shelter methodology. |
Tenure type adjustments for subsidized renters, homeowners with or without a mortgage, because of data limitations only one shelter cost estimate for all the regions outside of the capital is possible. New with the 2023-base is the creation of two tenure type adjustments for homeowners with a mortgage in Nunavut based on the age of the major income earner of the household. Note: Tenure type estimations follow the shelter methodology. |
✓ | |
| Mortgage interest costs were derived using the average rate of all existing lends in Canada, the Canada Housing Survey and census. | Mortgage interest costs were derived using the average rate of all existing lends in Canada, the Canada Housing Survey and census. | – | |
| Medical expenses imputation uses a combination of 2015-2018 Canadian Income Survey data (CIS) and 2014-to-2017 Survey of Household Spending data, by territory | Medical expenses imputation uses a combination of 2019-2023 Canadian Income Survey data and 2017 and 2019 Survey of Household Spending data, by territory | ✓ | |
| Adjustment made for capital gains tax | Adjustment made for capital gains tax | – | |
| Geography | Four Northern Market Basket Measure regions across Nunavut: one for Iqaluit and three additional geographies | Four Northern Market Basket Measure regions across Nunavut: one for Iqaluit and three additional geographies | – |
Appendix C: Summary of analysis on annual shelter
component adjustor
As part of the 2023-base Market Basket
Measure (MBM) review for the shelter component, an analysis of alternative
annual adjustors was conducted. Four alternative
adjustors were evaluated based on the following data sources:
- Canada
Mortgage and Housing Corporation: Provincial index created using data from
the Canada Mortgage and Housing Corporation (CMHC) Rental Market Survey (RMS).
Data for the primary rent market was obtained from the CHMC for 2016 to 2021. A
provincial annual index for year t was created by dividing the median
for three-bedroom dwelling for year t by the median rent for year t-1.
The median rent corresponds to a weighted average of the median rents for census agglomerations (CAs) and census metropolitan areas (CMAs) per province where
the weight corresponds to the number of three-bedroom rentals in the primary
rental market that exists in each universe. - System of National Account: An index was created by first calculating the geometric
mean of provincial monthly costs obtained through the National Accounts Report Master file to obtain annual costs, and then dividing the cost of year t by year t-1. - Consumer Prices Index, rented accommodation: Consumer Price Index, annual average, not seasonally adjusted. [Table: 18-10-0005-01 (formerly CANSIM 326-0021) for rented accommodation].
- Consumer Prices Index, all-items: Consumer Price Index, annual average, not seasonally adjusted [Table: 18-10-0005-01 (formerly CANSIM 326-0021) for all-Items].
After the annual adjustors were constructed,
they were applied to the 2016 Census shelter component costs per MBM region and
inflated to 2021 dollars. Next, the inflated shelter costs were compared with the
2021 Census shelter component costs. Table C.1 presents the results of this analysis.
A negative difference indicates that the index overestimated the shelter cost,
while a positive difference indicates that the index underestimated the cost. Comparing
all the indexes, the CMHC rent index has shown high volatility over the years,
and underestimates rents on average. The SNA rent index tended to overestimate
rents. The provincial-level rented accommodation CPI also exhibits higher
volatility, throughout the years, while the provincial-level all-items CPI
produces the smallest average and median differences when compared with 2021 Census
data. However, it is also accompanied by greater variation in the distribution of 2021 adjusted costs.
| Index | Average | Minimum | Maximum | Median |
|---|---|---|---|---|
| percent | ||||
|
Note: Three-bedrooms dwellings, not in need of major repairs and rented by a household with a total income in the second income decile, non-subsidized renters. Source: Statistics Canada. Custom tabulation. |
||||
| Canada Mortgage and Housing Corporation rent | 2.54 | -14.79 | 22.84 | 3.45 |
| Consumer Price Index – all-items | 1.03 | -24.63 | 23.69 | 0.35 |
| Consumer Price Index – rented accommodation | 3.64 | -15.25 | 24.22 | 3.38 |
| System of National Accounts rent | -2.70 | -16.06 | 15.11 | -2.74 |
Based on this analysis, it is proposed to
continue to use the provincial-level all-items CPI for the 2023-base MBM
shelter methodology. On average, the all-items CPI tends to estimate the shelter
costs more accurately than the other indexes and is also less volatile annually.
Lower annual variability, which may result more from sampling and non-sampling
error than true changes in prices over time, is as important as the comparison
between the inflated 2016 Census values to 2021 Census values, because volatility
could cause interpretability issues when analyzing annual poverty rate changes.
For example, large volatility could be interpreted as
changes in the housing cost distribution, but, the changes may be nothing more
than statistical noise.
Appendix D
| Market Basket Measure geography | 2018-base | 2023-base | Difference | |
|---|---|---|---|---|
| dollars | dollars | percent | ||
|
||||
| Newfoundland and Labrador | ||||
| Rural | 5,685 | 6,410 | 724 | 12.7 |
| Population under 30,000 Table D.1 Note 2 | 5,685 | 6,410 | 724 | 12.7 |
| Population 30,000 to 99,999 Table D.1 Note 3 | 5,685 | … not applicable | … not applicable | … not applicable |
| St. John’s | 6,373 | 7,787 | 1,414 | 22.2 |
| Prince Edward Island | ||||
| Rural | 5,364 | 6,579 | 1,215 | 22.6 |
| Population under 30,000 | 5,364 | 6,579 | 1,215 | 22.6 |
| Charlottetown | 5,364 | 6,579 | 1,215 | 22.6 |
| Nova Scotia | ||||
| Rural | 6,085 | 6,858 | 773 | 12.7 |
| Population under 30,000 | 6,085 | 6,858 | 773 | 12.7 |
| Population 30,000 to 99,999 | 6,085 | 6,858 | 773 | 12.7 |
| Halifax | 6,094 | 7,971 | 1,877 | 30.8 |
| Cape Breton | 6,097 | 7,503 | 1,407 | 23.1 |
| New Brunswick | ||||
| Rural | 5,802 | 6,698 | 896 | 15.4 |
| Population under 30,000 | 5,802 | 6,698 | 896 | 15.4 |
| Population 30,000 to 99,999 | 5,802 | 6,698 | 896 | 15.4 |
| Fredericton | 5,696 | 7,908 | 2,212 | 38.8 |
| Saint John | 5,808 | 7,784 | 1,976 | 34.0 |
| Moncton | 5,847 | 7,445 | 1,598 | 27.3 |
| Quebec | ||||
| Rural | 5,444 | 6,020 | 576 | 10.6 |
| Population under 30,000 | 5,444 | 6,020 | 576 | 10.6 |
| Population 30,000 to 99,999 | 5,444 | 6,020 | 576 | 10.6 |
| Population 100,000 to 499,999 | 5,444 | 6,020 | 576 | 10.6 |
| Québec | 5,480 | 6,143 | 663 | 12.1 |
| Montréal | 5,730 | 6,564 | 835 | 14.6 |
| Ontario | ||||
| Rural | 6,051 | 7,163 | 1,113 | 18.4 |
| Population under 30,000 | 6,051 | 7,163 | 1,113 | 18.4 |
| Population 30,000 to 99,999 | 6,100 | 7,123 | 1,023 | 16.8 |
| Population 100,000 to 499,999 | 6,168 | 7,169 | 1,001 | 16.2 |
| Population 500,000 and over | 6,394 | 7,533 | 1,139 | 17.8 |
| Ottawa-Gatineau, Ontario part | 5,927 | 7,361 | 1,434 | 24.2 |
| Hamilton/Burlington | 6,750 | 8,400 | 1,650 | 24.4 |
| Toronto | 7,128 | 9,299 | 2,171 | 30.5 |
| Manitoba | ||||
| Rural | 6,103 | 7,100 | 997 | 16.3 |
| Population under 30,000 | 6,103 | 7,100 | 997 | 16.3 |
| Population 30,000 to 99,999 | 6,103 | 7,100 | 997 | 16.3 |
| Brandon | 6,103 | 7,100 | 997 | 16.3 |
| Winnipeg | 6,216 | 7,145 | 929 | 14.9 |
| Saskatchewan | ||||
| Rural | 5,993 | 6,569 | 576 | 9.6 |
| Population under 30,000 | 5,993 | 6,569 | 576 | 9.6 |
| Population 30,000 to 99,999 | 5,993 | 6,569 | 576 | 9.6 |
| Saskatoon | 6,000 | 6,524 | 524 | 8.7 |
| Regina | 5,930 | 6,591 | 662 | 11.2 |
| Alberta | ||||
| Rural | 5,410 | 6,265 | 855 | 15.8 |
| Population under 30,000 | 5,410 | 6,265 | 855 | 15.8 |
| Population 30,000 to 99,999 | 5,410 | 6,265 | 855 | 15.8 |
| Population 100,000 to 499,999 | 5,410 | 6,265 | 855 | 15.8 |
| Edmonton | 5,739 | 6,934 | 1,195 | 20.8 |
| Calgary | 5,642 | 6,972 | 1,330 | 23.6 |
| British Columbia | ||||
| Rural | 5,764 | 6,506 | 742 | 12.9 |
| Population under 30,000 | 5,764 | 6,506 | 742 | 12.9 |
| Population 30,000 to 99,999 | 5,857 | 6,488 | 631 | 10.8 |
| Population 100,000 to 499,999 | 6,051 | 6,858 | 807 | 13.3 |
| Vancouver | 6,564 | 7,150 | 586 | 8.9 |
| Yukon | ||||
| Rural North | 6,783 | 9,460 | 2,677 | 39.5 |
| Rural South | 6,452 | 9,037 | 2,585 | 40.1 |
| Whitehorse | 6,014 | 8,601 | 2,587 | 43.0 |
| Northwest Territories | ||||
| Beaufort Delta | 7,257 | 7,024 | -233 | -3.2 |
| Sahtu | 7,649 | 7,282 | -367 | -4.8 |
| Tlicho | 6,580 | 6,615 | 35 | 0.5 |
| Dehcho | 6,870 | 6,615 | -255 | -3.7 |
| South Slave | 6,311 | 6,619 | 308 | 4.9 |
| Yellowknife | 6,367 | 6,645 | 278 | 4.4 |
| Nunavut | ||||
| Baffin (excluding Iqaluit) | 11,529 | 9,642 | -1,887 | -16.4 |
| Kivalliq | 8,579 | 7,803 | -776 | -9.0 |
| Kitikmeot | 8,592 | 8,360 | -232 | -2.7 |
| Iqaluit | 8,053 | 7,952 | -101 | -1.3 |
| Market Basket Measure geography | 2018-base | 2023-base | Difference | |
|---|---|---|---|---|
| dollars | dollars | percent | ||
|
||||
| Newfoundland and Labrador | ||||
| Rural | 3,057 | … not applicable | … not applicable | … not applicable |
| Population under 30,000 Table D.2 Note 2 | 3,057 | … not applicable | … not applicable | … not applicable |
| Population 30,000 to 99,999 Table D.2 Note 3 | 3,057 | … not applicable | … not applicable | … not applicable |
| St. John’s | 3,251 | 2,868 | -383 | -11.8 |
| Prince Edward Island | ||||
| Rural | 3,074 | … not applicable | … not applicable | … not applicable |
| Population under 30,000 | 3,074 | … not applicable | … not applicable | … not applicable |
| Charlottetown | 3,074 | 2,628 | -446 | -14.5 |
| Nova Scotia | ||||
| Rural | 3,479 | … not applicable | … not applicable | … not applicable |
| Population under 30,000 | 3,479 | … not applicable | … not applicable | … not applicable |
| Population 30,000 to 99,999 | 3,479 | 2,986 | -492 | -14.2 |
| Halifax | 3,549 | 3,030 | -519 | -14.6 |
| Cape Breton | 3,191 | 2,778 | -413 | -12.9 |
| New Brunswick | ||||
| Rural | 3,323 | … not applicable | … not applicable | … not applicable |
| Population under 30,000 | 3,323 | … not applicable | … not applicable | … not applicable |
| Population 30,000 to 99,999 | 3,323 | … not applicable | … not applicable | … not applicable |
| Fredericton | 3,593 | 2,892 | -701 | -19.5 |
| Saint John | 3,668 | 2,820 | -848 | -23.1 |
| Moncton | 3,021 | 2,652 | -369 | -12.2 |
| Quebec | ||||
| Rural | 3,214 | … not applicable | … not applicable | … not applicable |
| Population under 30,000 | 3,214 | … not applicable | … not applicable | … not applicable |
| Population 30,000 to 99,999 | 2,657 | 2,450 | -208 | -7.8 |
| Population 100,000 to 499,999 | 3,408 | 3,195 | -213 | -6.3 |
| Québec | 3,565 | 3,274 | -291 | -8.2 |
| Montréal | 3,344 | 3,270 | -75 | -2.2 |
| Ontario | ||||
| Rural | 2,892 | … not applicable | … not applicable | … not applicable |
| Population under 30,000 | 2,892 | … not applicable | … not applicable | … not applicable |
| Population 30,000 to 99,999 | 2,892 | 2,720 | -172 | -5.9 |
| Population 100,000 to 499,999 | 3,797 | 3,457 | -340 | -9.0 |
| Population 500,000 and over | 3,717 | 3,076 | -640 | -17.2 |
| Ottawa-Gatineau, Ontario part | 4,790 | 4,521 | -268 | -5.6 |
| Hamilton/Burlington | 4,283 | 4,229 | -53 | -1.2 |
| Toronto | 5,984 | 5,630 | -354 | -5.9 |
| Manitoba | ||||
| Rural | 3,304 | … not applicable | … not applicable | … not applicable |
| Population under 30,000 | 3,304 | … not applicable | … not applicable | … not applicable |
| Population 30,000 to 99,999 | 3,304 | … not applicable | … not applicable | … not applicable |
| Brandon | 3,304 | 2,951 | -353 | -10.7 |
| Winnipeg | 4,069 | 3,784 | -286 | -7.0 |
| Saskatchewan | ||||
| Rural | 2,883 | … not applicable | … not applicable | … not applicable |
| Population under 30,000 | 2,883 | … not applicable | … not applicable | … not applicable |
| Population 30,000 to 99,999 | 2,883 | 2,670 | -213 | -7.4 |
| Saskatoon | 3,461 | 2,902 | -559 | -16.1 |
| Regina | 3,947 | 3,190 | -756 | -19.2 |
| Alberta | ||||
| Rural | 2,495 | … not applicable | … not applicable | … not applicable |
| Population under 30,000 | 2,495 | … not applicable | … not applicable | … not applicable |
| Population 30,000 to 99,999 | 2,495 | 2,412 | -83 | -3.3 |
| Population 100,000 to 499,999 | 3,282 | 2,840 | -442 | -13.5 |
| Edmonton | 4,063 | 3,572 | -490 | -12.1 |
| Calgary | 4,228 | 3,968 | -259 | -6.1 |
| British Columbia | ||||
| Rural | 2,571 | … not applicable | … not applicable | … not applicable |
| Population under 30,000 | 2,571 | … not applicable | … not applicable | … not applicable |
| Population 30,000 to 99,999 | 2,571 | 2,340 | -230 | -9.0 |
| Population 100,000 to 499,999 | 2,821 | 2,462 | -359 | -12.7 |
| Vancouver | 3,646 | 3,501 | -144 | -4.0 |
| Yukon | ||||
| Rural North | … not applicable | … not applicable | … not applicable | … not applicable |
| Rural South | … not applicable | … not applicable | … not applicable | … not applicable |
| Whitehorse | … not applicable | … not applicable | … not applicable | … not applicable |
| Northwest Territories | ||||
| Beaufort Delta | … not applicable | … not applicable | … not applicable | … not applicable |
| Sahtu | … not applicable | … not applicable | … not applicable | … not applicable |
| Tlicho | … not applicable | … not applicable | … not applicable | … not applicable |
| Dehcho | … not applicable | … not applicable | … not applicable | … not applicable |
| South Slave | … not applicable | … not applicable | … not applicable | … not applicable |
| Yellowknife | … not applicable | … not applicable | … not applicable | … not applicable |
| Nunavut | ||||
| Baffin (excluding Iqaluit) | … not applicable | … not applicable | … not applicable | … not applicable |
| Kivalliq | … not applicable | … not applicable | … not applicable | … not applicable |
| Kitikmeot | … not applicable | … not applicable | … not applicable | … not applicable |
| Iqaluit | … not applicable | … not applicable | … not applicable | … not applicable |
| Market Basket Measure geography | 2018-base | 2023-base | ||
|---|---|---|---|---|
| Private | Public | Private | Public | |
| percent | percent | |||
|
Source: Statistics Canada. Custom tabulation. |
||||
| Newfoundland and Labrador | ||||
| Rural | 100 | 0 | 100 | 0 |
| Population under 30,000 Table D.3 Note 2 | 100 | 0 | 100 | 0 |
| Population 30,000 to 99,999 Table D.3 Note 3 | 73 | 27 | … not applicable | … not applicable |
| St. John’s | 60 | 40 | 60 | 40 |
| Prince Edward Island | ||||
| Rural | 100 | 0 | 100 | 0 |
| Population under 30,000 | 100 | 0 | 100 | 0 |
| Charlottetown | 70 | 30 | 69 | 31 |
| Nova Scotia | ||||
| Rural | 100 | 0 | 100 | 0 |
| Population under 30,000 | 100 | 0 | 100 | 0 |
| Population 30,000 to 99,999 | 77 | 23 | 68 | 32 |
| Halifax | 51 | 49 | 53 | 47 |
| Cape Breton | 72 | 28 | 66 | 34 |
| New Brunswick | ||||
| Rural | 100 | 0 | 100 | 0 |
| Population under 30,000 | 100 | 0 | 100 | 0 |
| Population 30,000 to 99,999 | 100 | 0 | 100 | 0 |
| Fredericton | 70 | 30 | 62 | 38 |
| Saint John | 66 | 34 | 61 | 39 |
| Moncton | 68 | 32 | 58 | 42 |
| Quebec | ||||
| Rural | 100 | 0 | 100 | 0 |
| Population under 30,000 | 100 | 0 | 100 | 0 |
| Population 30,000 to 99,999 | 75 | 25 | 70 | 30 |
| Population 100,000 to 499,999 | 71 | 29 | 71 | 29 |
| Québec | 60 | 40 | 63 | 37 |
| Montréal | 52 | 48 | 49 | 51 |
| Ontario | ||||
| Rural | 100 | 0 | 100 | 0 |
| Population under 30,000 | 100 | 0 | 100 | 0 |
| Population 30,000 to 99,999 | 66 | 34 | 61 | 39 |
| Population 100,000 to 499,999 | 66 | 34 | 64 | 36 |
| Population 500,000 and over | 65 | 35 | 59 | 41 |
| Ottawa-Gatineau, Ontario part | 49 | 51 | 51 | 49 |
| Hamilton/Burlington | 60 | 40 | 58 | 42 |
| Toronto | 55 | 45 | 50 | 50 |
| Manitoba | ||||
| Rural | 100 | 0 | 100 | 0 |
| Population under 30,000 | 100 | 0 | 100 | 0 |
| Population 30,000 to 99,999 | 100 | 0 | 100 | 0 |
| Brandon | 66 | 34 | 66 | 34 |
| Winnipeg | 60 | 40 | 56 | 44 |
| Saskatchewan | ||||
| Rural | 100 | 0 | 100 | 0 |
| Population under 30,000 | 100 | 0 | 100 | 0 |
| Population 30,000 to 99,999 | 72 | 28 | 68 | 32 |
| Saskatoon | 71 | 29 | 73 | 27 |
| Regina | 70 | 30 | 72 | 28 |
| Alberta | ||||
| Rural | 100 | 0 | 100 | 0 |
| Population under 30,000 | 100 | 0 | 100 | 0 |
| Population 30,000 to 99,999 | 69 | 31 | 75 | 25 |
| Population 100,000 to 499,999 | 69 | 31 | 74 | 26 |
| Edmonton | 64 | 36 | 69 | 31 |
| Calgary | 63 | 37 | 68 | 32 |
| British Columbia | ||||
| Rural | 100 | 0 | 100 | 0 |
| Population under 30,000 | 100 | 0 | 100 | 0 |
| Population 30,000 to 99,999 | 71 | 29 | 69 | 31 |
| Population 100,000 to 499,999 | 64 | 36 | 62 | 38 |
| Vancouver | 53 | 47 | 47 | 53 |
| Yukon | ||||
| Rural North | … not applicable | … not applicable | … not applicable | … not applicable |
| Rural South | … not applicable | … not applicable | … not applicable | … not applicable |
| Whitehorse | … not applicable | … not applicable | … not applicable | … not applicable |
| Northwest Territories | ||||
| Beaufort Delta | … not applicable | … not applicable | … not applicable | … not applicable |
| Sahtu | … not applicable | … not applicable | … not applicable | … not applicable |
| Tlicho | … not applicable | … not applicable | … not applicable | … not applicable |
| Dehcho | … not applicable | … not applicable | … not applicable | … not applicable |
| South Slave | … not applicable | … not applicable | … not applicable | … not applicable |
| Yellowknife | … not applicable | … not applicable | … not applicable | … not applicable |
| Nunavut | ||||
| Baffin (excluding Iqaluit) | … not applicable | … not applicable | … not applicable | … not applicable |
| Kivalliq | … not applicable | … not applicable | … not applicable | … not applicable |
| Kitikmeot | … not applicable | … not applicable | … not applicable | … not applicable |
| Iqaluit | … not applicable | … not applicable | … not applicable | … not applicable |
Appendix E
| Market Basket Measure geography | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| dollars | ||||
|
||||
| Newfoundland and Labrador | ||||
| Rural | 42,285 | 43,597 | 46,860 | 48,740 |
| Population under 30,000 | 44,090 | 45,476 | 48,863 | 50,808 |
| Population 30,000 to 99,999 Table E.1 Note 2 | … not applicable | … not applicable | … not applicable | … not applicable |
| St. John’s | 45,522 | 46,856 | 50,318 | 52,270 |
| Prince Edward Island | ||||
| Rural | 41,109 | 42,767 | 46,641 | 48,322 |
| Population under 30,000 | 44,506 | 46,344 | 50,546 | 52,354 |
| Charlottetown | 45,335 | 47,145 | 51,411 | 53,217 |
| Nova Scotia | ||||
| Rural | 41,975 | 43,397 | 47,016 | 49,075 |
| Population under 30,000 | 42,854 | 44,314 | 48,002 | 50,100 |
| Population 30,000 to 99,999 | 42,348 | 43,671 | 47,276 | 49,375 |
| Halifax | 45,449 | 46,879 | 50,736 | 52,964 |
| Cape Breton | 42,283 | 43,620 | 47,229 | 49,311 |
| New Brunswick | ||||
| Rural | 41,144 | 42,632 | 46,135 | 48,150 |
| Population under 30,000 | 42,069 | 43,592 | 47,169 | 49,228 |
| Population 30,000 to 99,999 | 41,629 | 43,135 | 46,683 | 48,731 |
| Fredericton | 44,839 | 46,336 | 50,140 | 52,329 |
| Saint John | 42,763 | 44,178 | 47,809 | 49,900 |
| Moncton | 45,701 | 47,199 | 51,038 | 53,270 |
| Quebec | ||||
| Rural | 40,195 | 41,380 | 44,297 | 46,309 |
| Population under 30,000 | 39,563 | 40,743 | 43,623 | 45,605 |
| Population 30,000 to 99,999 | 39,452 | 40,541 | 43,332 | 45,355 |
| Population 100,000 to 499,999 | 39,939 | 41,049 | 43,869 | 45,903 |
| Québec | 41,604 | 42,752 | 45,669 | 47,798 |
| Montréal | 42,387 | 43,528 | 46,472 | 48,656 |
| Ontario | ||||
| Rural | 44,519 | 45,840 | 49,284 | 51,272 |
| Population under 30,000 | 44,306 | 45,627 | 49,057 | 51,036 |
| Population 30,000 to 99,999 | 42,997 | 44,175 | 47,438 | 49,356 |
| Population 100,000 to 499,999 | 46,128 | 47,426 | 50,906 | 52,922 |
| Population 500,000 and over | 46,707 | 48,020 | 51,539 | 53,583 |
| Ottawa-Gatineau, Ontario part | 49,645 | 51,026 | 54,751 | 56,888 |
| Hamilton/Burlington | 50,165 | 51,610 | 55,389 | 57,534 |
| Toronto | 53,138 | 54,673 | 58,662 | 60,864 |
| Manitoba | ||||
| Rural | 43,552 | 44,607 | 48,495 | 50,345 |
| Population under 30,000 | 44,919 | 46,095 | 50,142 | 52,091 |
| Population 30,000 to 99,999 | 43,426 | 44,574 | 48,473 | 50,300 |
| Brandon | 44,656 | 45,734 | 49,622 | 51,566 |
| Winnipeg | 46,892 | 48,035 | 52,063 | 54,031 |
| Saskatchewan | ||||
| Rural | 41,520 | 42,561 | 45,900 | 47,689 |
| Population under 30,000 | 43,349 | 44,452 | 47,920 | 49,813 |
| Population 30,000 to 99,999 | 42,799 | 43,831 | 47,169 | 49,026 |
| Saskatoon | 47,202 | 48,357 | 52,007 | 54,053 |
| Regina | 47,117 | 48,271 | 51,919 | 53,954 |
| Alberta | ||||
| Rural | 43,794 | 45,059 | 48,376 | 50,062 |
| Population under 30,000 | 46,534 | 47,920 | 51,442 | 53,255 |
| Population 30,000 to 99,999 | 47,010 | 48,323 | 51,841 | 53,686 |
| Population 100,000 to 499,999 | 46,334 | 47,623 | 51,102 | 52,918 |
| Edmonton | 49,273 | 50,664 | 54,360 | 56,249 |
| Calgary | 49,499 | 50,892 | 54,620 | 56,524 |
| British Columbia | ||||
| Rural | 46,291 | 47,201 | 50,527 | 52,497 |
| Population under 30,000 | 46,048 | 47,023 | 50,385 | 52,412 |
| Population 30,000 to 99,999 | 45,589 | 46,525 | 49,803 | 51,816 |
| Population 100,000 to 499,999 | 50,012 | 51,069 | 54,657 | 56,854 |
| Vancouver | 54,225 | 55,384 | 59,262 | 61,621 |
| Yukon | ||||
| Rural North | 54,320 | 55,823 | 59,807 | 62,496 |
| Rural South | 55,774 | 57,273 | 61,386 | 64,242 |
| Whitehorse | 56,631 | 58,227 | 62,317 | 65,089 |
| Northwest Territories | ||||
| Beaufort Delta | 70,003 | 71,185 | 76,451 | 80,629 |
| Sahtu | 71,963 | 73,165 | 78,631 | 83,079 |
| Tlicho | 58,866 | 59,853 | 64,204 | 67,564 |
| Dehcho | 60,584 | 61,589 | 66,069 | 69,577 |
| South Slave | 60,048 | 61,078 | 65,503 | 68,831 |
| Yellowknife | 64,632 | 65,818 | 70,466 | 73,613 |
| Nunavut | ||||
| Baffin (excluding Iqaluit) | 100,126 | 101,498 | 105,460 | 108,127 |
| Kivalliq | 89,798 | 91,028 | 94,582 | 96,974 |
| Kitikmeot | 96,253 | 97,571 | 101,380 | 103,944 |
| Iqaluit | 105,969 | 107,421 | 111,614 | 114,437 |
Appendix F
| Percentage of people in poverty | ||||
|---|---|---|---|---|
| 2020 | 2021 | 2022 | 2023 | |
| % | ||||
|
Note: Estimates based on the 2023-base Market Basket Measure thresholds are preliminary. Source: Statistics Canada. Custom tabulation. |
||||
| Geography | ||||
| Canada | 6.9 | 8.0 | 10.4 | 10.9 |
| Newfoundland and Labrador | 6.2 | 7.3 | 9.4 | 11.0 |
| Prince Edward Island | 8.1 | 7.9 | 9.1 | 10.6 |
| Nova Scotia | 7.2 | 7.8 | 11.8 | 11.6 |
| New Brunswick | 7.2 | 6.0 | 10.4 | 11.4 |
| Quebec | 5.2 | 5.6 | 6.8 | 7.6 |
| Ontario | 7.7 | 8.7 | 11.7 | 12.4 |
| Manitoba | 7.9 | 10.1 | 12.8 | 12.3 |
| Saskatchewan | 6.7 | 9.5 | 11.5 | 13.3 |
| Alberta | 5.5 | 7.8 | 9.5 | 9.1 |
| British Columbia | 8.5 | 9.8 | 12.7 | 12.5 |
| Yukon | 9.7 | 9.4 | 13.9 | 11.1 |
| Northwest Territories | 13.0 | 15.0 | 18.3 | 19.4 |
| Nunavut | 32.7 | 34.1 | 41.2 | 41.4 |
| Age group | ||||
| People younger than 18 years | 5.2 | 6.9 | 10.5 | 11.8 |
| People 18 to 64 years | 8.3 | 8.8 | 11.6 | 12.2 |
| People 65 years and older | 3.9 | 6.4 | 6.5 | 5.6 |
| Family types | ||||
| People in economic families | 3.8 | 4.9 | 7.1 | 7.7 |
| People not in an economic family | 22.1 | 23.3 | 26.8 | 26.6 |
| People in couple families with children | 3.4 | 4.3 | 6.8 | 7.8 |
| People in one-parent families | 14.4 | 17.6 | 23.8 | 25.7 |
| Number of people in poverty | ||||
|---|---|---|---|---|
| 2020 | 2021 | 2022 | 2023 | |
| in thousands | ||||
|
Note: Estimates based on the 2023-base Market Basket Measure thresholds are preliminary. Source: Statistics Canada. Custom tabulation. |
||||
| Geography | ||||
| Canada | 2,562 | 3,000 | 3,969 | 4,258 |
| Newfoundland and Labrador | 32 | 38 | 49 | 58 |
| Prince Edward Island | 13 | 13 | 15 | 18 |
| Nova Scotia | 68 | 76 | 117 | 119 |
| New Brunswick | 54 | 46 | 82 | 92 |
| Quebec | 435 | 475 | 582 | 663 |
| Ontario | 1,116 | 1,276 | 1,747 | 1,900 |
| Manitoba | 103 | 131 | 168 | 166 |
| Saskatchewan | 74 | 104 | 130 | 153 |
| Alberta | 239 | 340 | 427 | 426 |
| British Columbia | 429 | 501 | 654 | 665 |
| Yukon | 4 | 4 | 6 | 5 |
| Northwest Territories | 6 | 6 | 8 | 8 |
| Nunavut | 12 | 13 | 15 | 16 |
| Age group | ||||
| People younger than 18 years | 368 | 500 | 781 | 889 |
| People 18 to 64 years | 1,935 | 2,059 | 2,723 | 2,956 |
| People 65 years and older | 259 | 442 | 466 | 414 |
| Family types | ||||
| People in economic families | 1,186 | 1,526 | 2,240 | 2,480 |
| People not in an economic family | 1,376 | 1,474 | 1,730 | 1,778 |
| People in couple families with children | 439 | 577 | 910 | 1,058 |
| People in one-parent families | 246 | 315 | 524 | 584 |
References
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