17 datasets found
  1. p

    Cost of living in Toronto for low-income households - Dataset - CKAN

    • ckan0.cf.opendata.inter.prod-toronto.ca
    Updated Nov 10, 2022
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    (2022). Cost of living in Toronto for low-income households - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/dataset/cost-of-living-in-toronto-for-low-income-households
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    Dataset updated
    Nov 10, 2022
    Area covered
    Toronto
    Description

    The City of Toronto monitors food affordability every year using the Ontario Nutritious Food Basket (ONFB) costing tool. Food prices, among other essential needs, have increased considerably in the last several years. People receiving social assistance and earning low wages often do not have enough money to cover the cost of basic expenses, including food. As such, ONFB data is best used to assess the cost of living in Toronto by analyzing food affordability in relation to income, alongside other local basic expenses. The dataset describes the affordability of food and other basic expenses relative to income for 13 household scenarios. Scenarios were selected to reflect household characteristics that increase the risk of being food insecure, including reliance on social assistance as the main source of income, single-parent households, and rental housing. A median income scenario has also been included as a comparator. Income, including federal and provincial tax benefits, and the cost of four basic living expenses - rent food, childcare, and transportation - are estimated for each scenario. Results show the estimated amount of money remaining at the end of the month for each household. Three versions of the scenarios were created to describe: Income scenarios with subsidies: Subsidies can substantially reduce a households’ monthly expenses. Local subsidies for rent (Rent-Geared-to-Income), childcare (Childcare Fee Subsidy), and transit (Fair Pass) are accounted for in this file. Income scenarios without subsidies + average market rent: In this file, rental costs are based on average market rent, as measured by the Canadian Mortgage and Housing Corporation (CMHC). Income scenarios without subsidies + current market rent: Rental costs are based on current market rent (as of October 2023), as measured by the Toronto Regional Real Estate Board (TRREB). All values are rounded to the nearest dollar.

  2. u

    Cost of living in Toronto for low-income households - Catalogue - Canadian...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
    + more versions
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    (2025). Cost of living in Toronto for low-income households - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/city-toronto-cost-of-living-in-toronto-for-low-income-households
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    Dataset updated
    Oct 19, 2025
    Area covered
    Toronto
    Description

    The City of Toronto monitors food affordability every year using the Ontario Nutritious Food Basket (ONFB) costing tool. Food prices, among other essential needs, have increased considerably in the last several years. People receiving social assistance and earning low wages often do not have enough money to cover the cost of basic expenses, including food. As such, ONFB data is best used to assess the cost of living in Toronto by analyzing food affordability in relation to income, alongside other local basic expenses. The dataset describes the affordability of food and other basic expenses relative to income for 13 household scenarios. Scenarios were selected to reflect household characteristics that increase the risk of being food insecure, including reliance on social assistance as the main source of income, single-parent households, and rental housing. A median income scenario has also been included as a comparator. Income, including federal and provincial tax benefits, and the cost of four basic living expenses - rent food, childcare, and transportation - are estimated for each scenario. Results show the estimated amount of money remaining at the end of the month for each household. Three versions of the scenarios were created to describe: Income scenarios with subsidies: Subsidies can substantially reduce a households’ monthly expenses. Local subsidies for rent (Rent-Geared-to-Income), childcare (Childcare Fee Subsidy), and transit (Fair Pass) are accounted for in this file. Income scenarios without subsidies + average market rent: In this file, rental costs are based on average market rent, as measured by the Canadian Mortgage and Housing Corporation (CMHC). Income scenarios without subsidies + current market rent: Rental costs are based on current market rent (as of October 2023), as measured by the Toronto Regional Real Estate Board (TRREB).

  3. Inter-city indexes of price differentials of consumer goods and services,...

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Dec 16, 2020
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    Government of Canada, Statistics Canada (2020). Inter-city indexes of price differentials of consumer goods and services, annual [Dataset]. http://doi.org/10.25318/1810000301-eng
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    Dataset updated
    Dec 16, 2020
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual indexes of price differences between 15 cities in all provinces and territories, as of October of the previous year, for a selection of products (goods and services) from the Consumer Price Index (CPI) purchased by consumers in each of the 15 cities. The combined city average index is 100.

  4. Consumer Price Index by geography, all-items, monthly, percentage change,...

    • www150.statcan.gc.ca
    Updated Nov 17, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Consumer Price Index by geography, all-items, monthly, percentage change, not seasonally adjusted, Canada, provinces, Whitehorse, Yellowknife and Iqaluit [Dataset]. http://doi.org/10.25318/1810000401-eng
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    Dataset updated
    Nov 17, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly indexes and percentage changes for all components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

  5. a

    Assisted living costs in Toronto, IA, over time

    • aplaceformom.com
    html
    Updated Oct 31, 2025
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    (2025). Assisted living costs in Toronto, IA, over time [Dataset]. https://www.aplaceformom.com/assisted-living/iowa/toronto
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    htmlAvailable download formats
    Dataset updated
    Oct 31, 2025
    Area covered
    Iowa, Toronto
    Description

    Cost comparison table showing 2023 and 2024 median costs by location

  6. Consumer Price Index, annual average, not seasonally adjusted

    • www150.statcan.gc.ca
    • datasets.ai
    • +3more
    Updated Jan 21, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Consumer Price Index, annual average, not seasonally adjusted [Dataset]. http://doi.org/10.25318/1810000501-eng
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    Dataset updated
    Jan 21, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual indexes for major components and special aggregates of the Consumer Price Index (CPI), for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the last five years. The base year for the index is 2002=100.

  7. Consumer Price Index, monthly, not seasonally adjusted

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Nov 17, 2025
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    Government of Canada, Statistics Canada (2025). Consumer Price Index, monthly, not seasonally adjusted [Dataset]. http://doi.org/10.25318/1810000401-eng
    Explore at:
    Dataset updated
    Nov 17, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly indexes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the current month and previous four months. The base year for the index is 2002=100.

  8. Inflation rate in Canada 2030

    • statista.com
    • abripper.com
    Updated Jan 10, 2016
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    Statista (2016). Inflation rate in Canada 2030 [Dataset]. https://www.statista.com/statistics/271247/inflation-rate-in-canada/
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    Dataset updated
    Jan 10, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The statistic shows the average inflation rate in Canada from 1987 to 2024, with projections up until 2030. The inflation rate is calculated using the price increase of a defined product basket. This product basket contains products and services, on which the average consumer spends money throughout the year. They include expenses for groceries, clothes, rent, power, telecommunications, recreational activities and raw materials (e.g. gas, oil), as well as federal fees and taxes. In 2022, the average inflation rate in Canada was approximately 6.8 percent compared to the previous year. For comparison, inflation in India amounted to 5.56 percent that same year. Inflation in Canada In general, the inflation rate in Canada follows a global trend of decreasing inflation rates since 2011, with the lowest slump expected to occur during 2015, but forecasts show an increase over the following few years. Additionally, Canada's inflation rate is in quite good shape compared to the rest of the world. While oil and gas prices have dropped in Canada much like they have around the world, food and housing prices in Canada have been increasing. This has helped to offset some of the impact of dropping oil and gas prices and the effect this has had on Canada´s inflation rate. The annual consumer price index of food and non-alcoholic beverages in Canada has been steadily increasing over the last decade. The same is true for housing and other price indexes for the country. In general there is some confidence that the inflation rate will not stay this low for long, it is expected to return to a comfortable 2 percent by 2017 if estimates are correct.

  9. Commercial rents services price index, monthly

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Nov 27, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Commercial rents services price index, monthly [Dataset]. http://doi.org/10.25318/1810025501-eng
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    Dataset updated
    Nov 27, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2006 for the total index and from January 2019 for all other indexes. The table presents data for the most recent reference period and the last five periods. The base period for the index is (2019=100).

  10. a

    Senior living costs in Toronto vs. state and national costs

    • aplaceformom.com
    html
    Updated Nov 8, 2025
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    (2025). Senior living costs in Toronto vs. state and national costs [Dataset]. https://www.aplaceformom.com/care-homes/kansas/toronto
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    htmlAvailable download formats
    Dataset updated
    Nov 8, 2025
    Area covered
    Toronto
    Description

    Cost comparison table showing community type costs by location

  11. R

    Co-Living Space Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Aug 14, 2025
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    Research Intelo (2025). Co-Living Space Market Research Report 2033 [Dataset]. https://researchintelo.com/report/co-living-space-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Aug 14, 2025
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Co-Living Space Market Outlook



    According to our latest research, the Global Co-Living Space market size was valued at $21.4 billion in 2024 and is projected to reach $72.6 billion by 2033, expanding at a robust CAGR of 14.2% during the forecast period of 2024–2033. The primary driver fueling this substantial growth is the rising demand for affordable and flexible housing solutions among urban millennials and young professionals worldwide. As urbanization accelerates and the cost of living in major cities continues to soar, co-living spaces offer a compelling alternative by combining affordability, convenience, and a sense of community. This evolving lifestyle preference, coupled with technological advancements in property management and digital platforms, is reshaping the residential real estate landscape and positioning co-living as a mainstream solution for the future of urban living.



    Regional Outlook



    North America currently commands the largest share of the global co-living space market, accounting for nearly 35% of total market revenue in 2024. This dominance is attributed to the region’s mature real estate infrastructure, high urbanization rates, and a robust ecosystem of tech-enabled property management companies. Cities such as New York, San Francisco, and Toronto have witnessed a surge in co-living developments, driven by a growing population of young professionals and students seeking cost-effective and socially engaging living arrangements. Furthermore, favorable regulatory frameworks and the proliferation of venture-backed startups have accelerated the adoption of co-living models, making North America a benchmark for operational excellence and innovation in the sector.



    The Asia Pacific region is emerging as the fastest-growing market, projected to register a remarkable CAGR of 17.8% from 2024 to 2033. This growth trajectory is propelled by rapid urban migration, a burgeoning middle class, and escalating property prices in metropolitan hubs like Beijing, Mumbai, Singapore, and Sydney. Governments in the region are increasingly supportive of alternative housing formats to address urban housing shortages, while real estate developers and institutional investors are ramping up investments in co-living projects. The region’s youthful demographic profile and cultural openness to shared living further catalyze market expansion, positioning Asia Pacific as a critical engine for future growth in the global co-living space market.



    In emerging economies across Latin America, the Middle East, and Africa, the adoption of co-living spaces is gaining momentum but faces unique challenges. Limited awareness, regulatory ambiguities, and varying cultural perceptions of shared living can hinder rapid adoption. However, as urbanization intensifies and the demand for affordable housing rises, these markets present significant untapped potential. Localized demand is being addressed through partnerships with universities, corporations, and local governments, while regulatory reforms and pilot projects are gradually paving the way for broader acceptance. Despite infrastructural and policy hurdles, the long-term outlook for co-living in these regions remains optimistic, especially as global operators and investors begin to explore these nascent markets.



    Report Scope






    Attributes Details
    Report Title Co-Living Space Market Research Report 2033
    By Type Single Room, Shared Room, Studio Apartment, Others
    By Application Students, Working Professionals, Digital Nomads, Senior Citizens, Others
    By Business Model Lease-Based, Management-Based, Hybrid
    By End-User Residential, Commercial
    Regions Covered

  12. Ontario consumer price index

    • open.canada.ca
    • data.ontario.ca
    html, xlsx
    Updated Oct 29, 2025
    + more versions
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    Government of Ontario (2025). Ontario consumer price index [Dataset]. https://open.canada.ca/data/en/dataset/29a55543-3e27-4d7a-8ce5-7b669305b2d8
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    html, xlsxAvailable download formats
    Dataset updated
    Oct 29, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 1979 - Dec 31, 2024
    Area covered
    Ontario
    Description

    The Consumer Price Index measures changes in the cost of selected food items over time like: * food purchased from stores * fresh or frozen beef * fresh or frozen pork * fresh or frozen chicken * dairy products and eggs * bakery products * fresh fruit * fresh vegetables * food purchased from restaurants

  13. u

    Construction costs of buildings in Ontario, Canada in 2023, by select...

    • data.urbandatacentre.ca
    Updated May 6, 2025
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    (2025). Construction costs of buildings in Ontario, Canada in 2023, by select building type - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/construction-costs-of-buildings-in-ontario-canada-in-2023
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    Dataset updated
    May 6, 2025
    Area covered
    Canada, Ontario
    Description

    Ontario's construction costs 2023, by building type Published by Fernando de Querol Cumbrera, Dec 10, 2024 Ambulatory healthcare was the type of building with the highest construction costs in Ontario (Canada) in 2023. The cost of that type of building ranged from 7,110 to 8,750 Canadian dollars per square meter. Townhouses with mid-end specifications were, along with warehouses, among the cheapest buildings to construct, even though the townhouse sale price in Canada was much higher in 2023 than in a decade earlier. On the other side of the residential spectrum, the construction cost of high-rise buildings with mid-end specifications could reach up to 5,370 Canadian dollars per square meter. The housing sector in Ontario The fast population growth in Toronto, the main city in Ontario, has put pressure on its housing market. From 2001 to 2022, the number of people living in Canada’s largest city increased by over 37 percent. During the past years, house prices in Ontario rose at a similarly fast pace. Combined, these elements signal a strong demand for homes in Toronto and Ontario as a whole. The construction sector has responded to this trend: In 2022, most housing starts in Canada took place in the province of Ontario. That same year, EllisDon Corporation, with headquarters in Mississauga (Ontario), was the second-largest contractor in Canada. One of its largest residential/mixed-use projects under development is the 489-539 King St. West Development, in Toronto. Construction cost in North America Building construction costs in Quebec, the second most populous province in Canada after Ontario, had a similar cost range: Ambulatory healthcare buildings were the most expensive, and warehouses were the cheapest to build. However, enclosed malls and higher education buildings were significantly more expensive in Quebec than in Ontario. Across the border, the cities with the highest residential construction costs in the U.S. were San Francisco for multi-family housing, and New York City for single-family housing. Meanwhile, Los Angeles, San Francisco, and New York had the highest hotel construction costs in the U.S.

  14. R

    Furnished Apartment Marketplaces Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    Research Intelo (2025). Furnished Apartment Marketplaces Market Research Report 2033 [Dataset]. https://researchintelo.com/report/furnished-apartment-marketplaces-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Furnished Apartment Marketplaces Market Outlook



    According to our latest research, the Global Furnished Apartment Marketplaces market size was valued at $17.8 billion in 2024 and is projected to reach $38.2 billion by 2033, expanding at a robust CAGR of 8.7% during the forecast period of 2025–2033. The primary driver behind this impressive growth is the rising demand for flexible, hassle-free accommodation solutions among urban professionals, expatriates, and digital nomads globally. As remote work and global mobility become mainstream, both individuals and corporations are increasingly seeking ready-to-move-in living spaces that combine convenience, comfort, and cost-efficiency. The proliferation of digital platforms and innovative booking channels has further streamlined the search and reservation process, fueling adoption rates across key demographic segments and regions.



    Regional Outlook



    North America dominates the global furnished apartment marketplaces market, accounting for the largest market share in 2024. This leadership is attributed to the region’s mature real estate sector, high urbanization rates, and the presence of major corporate hubs in cities such as New York, San Francisco, and Toronto. In North America, the furnished apartment marketplaces market benefits from advanced digital infrastructure, widespread acceptance of online booking platforms, and a strong culture of business travel and temporary relocation. Additionally, regulatory frameworks in the United States and Canada are generally supportive of short-term and long-term rental models, which has encouraged the entry of both established players and innovative startups. The North American market size reached approximately $6.8 billion in 2024, with steady annual growth expected through 2033, driven by sustained demand from both individuals and corporations.



    The Asia Pacific region is projected to be the fastest-growing market for furnished apartment marketplaces, boasting a remarkable CAGR of 11.2% from 2025 to 2033. Rapid urbanization, burgeoning middle-class populations, and the rise of international business hubs in cities like Singapore, Tokyo, Shanghai, and Bangalore are key contributors to this surge. The region has witnessed significant investments in digital platforms and mobile applications, making it easier for users to access and book furnished apartments. Furthermore, the influx of expatriates, students, and business travelers, combined with government initiatives to boost tourism and cross-border mobility, is accelerating market expansion. Countries like China and India are witnessing a paradigm shift in accommodation preferences, with millennials and Gen Z favoring flexible, furnished living options over traditional long-term leases.



    In emerging economies across Latin America and the Middle East & Africa, the adoption of furnished apartment marketplaces is gradually gaining momentum, albeit from a lower base. These regions face unique challenges such as limited digital penetration, fragmented real estate markets, and regulatory uncertainties surrounding short-term rentals. However, rising urbanization, increased mobility, and the growing influence of international students and business travelers are creating new pockets of demand. Governments are beginning to recognize the potential of alternative accommodation models, introducing reforms and incentives to attract foreign investment and support tourism. While market share remains modest compared to North America and Asia Pacific, the long-term growth prospects are promising as infrastructure improves and local players innovate to cater to regional preferences.



    Report Scope





    Attributes Details
    Report Title Furnished Apartment Marketplaces Market Research Report 2033
    By Type Short-Term Rentals, Long-Term Rentals, Corporate Housing, Vacation Rentals
    By Platform Web-Based, Mobile Application
    By End-U

  15. T

    Toronto-Dominion Bank | TD - Selling And Administration Expenses

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2025
    + more versions
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    TRADING ECONOMICS (2025). Toronto-Dominion Bank | TD - Selling And Administration Expenses [Dataset]. https://tradingeconomics.com/td:us:selling-and-administration-expenses
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 1, 2025
    Area covered
    United States
    Description

    Toronto-Dominion Bank reported CAD391M in Selling and Administration Expenses for its fiscal quarter ending in June of 2025. Data for Toronto-Dominion Bank | TD - Selling And Administration Expenses including historical, tables and charts were last updated by Trading Economics this last December in 2025.

  16. Household spending, Canada, regions and provinces

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated May 21, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Household spending, Canada, regions and provinces [Dataset]. http://doi.org/10.25318/1110022201-eng
    Explore at:
    Dataset updated
    May 21, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Survey of Household Spending (SHS), average household spending, Canada, regions and provinces.

  17. T

    Canada Inflation Rate

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 17, 2025
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    TRADING ECONOMICS (2025). Canada Inflation Rate [Dataset]. https://tradingeconomics.com/canada/inflation-cpi
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Nov 17, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1915 - Oct 31, 2025
    Area covered
    Canada
    Description

    Inflation Rate in Canada decreased to 2.20 percent in October from 2.40 percent in September of 2025. This dataset provides - Canada Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2022). Cost of living in Toronto for low-income households - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/dataset/cost-of-living-in-toronto-for-low-income-households

Cost of living in Toronto for low-income households - Dataset - CKAN

Explore at:
Dataset updated
Nov 10, 2022
Area covered
Toronto
Description

The City of Toronto monitors food affordability every year using the Ontario Nutritious Food Basket (ONFB) costing tool. Food prices, among other essential needs, have increased considerably in the last several years. People receiving social assistance and earning low wages often do not have enough money to cover the cost of basic expenses, including food. As such, ONFB data is best used to assess the cost of living in Toronto by analyzing food affordability in relation to income, alongside other local basic expenses. The dataset describes the affordability of food and other basic expenses relative to income for 13 household scenarios. Scenarios were selected to reflect household characteristics that increase the risk of being food insecure, including reliance on social assistance as the main source of income, single-parent households, and rental housing. A median income scenario has also been included as a comparator. Income, including federal and provincial tax benefits, and the cost of four basic living expenses - rent food, childcare, and transportation - are estimated for each scenario. Results show the estimated amount of money remaining at the end of the month for each household. Three versions of the scenarios were created to describe: Income scenarios with subsidies: Subsidies can substantially reduce a households’ monthly expenses. Local subsidies for rent (Rent-Geared-to-Income), childcare (Childcare Fee Subsidy), and transit (Fair Pass) are accounted for in this file. Income scenarios without subsidies + average market rent: In this file, rental costs are based on average market rent, as measured by the Canadian Mortgage and Housing Corporation (CMHC). Income scenarios without subsidies + current market rent: Rental costs are based on current market rent (as of October 2023), as measured by the Toronto Regional Real Estate Board (TRREB). All values are rounded to the nearest dollar.

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