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.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Canadian County, OK (MWACL40017) from 2009 to 2023 about Canadian County, OK; Oklahoma City; OK; adjusted; average; wages; real; and USA.

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.

The ACCRA Cost of Living Index (COLI) is a measure of living cost differences among urban areas compiled by the Council for Community and Economic Research. Conducted quarterly, the index compares the price of goods and services among approximately 300 communities in the United States and Canada. This Microsoft Excel file contains the average prices of goods and services published in the ACCRA Cost of Living Index since 1990.

When interviewed in February 2022, more than half of Canadians (** percent) reported being unable to cope with the cost of living. This proportion was highest among people living in the provinces of Alberta, Saskatchewan and the Atlantic Provinces (** percent). In contrast, only *** people out of five in Quebec reported such difficulties. In March 2022, inflation was an issue for most Canadian households.

The average resale house price in Canada was forecast to reach nearly ******* Canadian dollars in 2026, according to a January forecast. In 2024, house prices increased after falling for the first time since 2019. One of the reasons for the price correction was the notable drop in transaction activity. Housing transactions picked up in 2024 and are expected to continue to grow until 2026. British Columbia, which is the most expensive province for housing, is projected to see the average house price reach *** million Canadian dollars in 2026. Affordability in Vancouver Vancouver is the most populous city in British Columbia and is also infamously expensive for housing. In 2023, the city topped the ranking for least affordable housing market in Canada, with the average homeownership cost outweighing the average household income. There are a multitude of reasons for this, but most residents believe that foreigners investing in the market cause the high housing prices. Victoria housing market The capital of British Columbia is Victoria, where housing prices are also very high. The price of a single family home in Victoria's most expensive suburb, Oak Bay was *** million Canadian dollars in 2024.

Survey of Household Spending (SHS), average household spending on detailed food categories.

North Vancouver was the most expensive Canadian city for one-bedroom apartment rentals, with a median rent of about ***** Canadian dollars in June 2025. Coquitlam followed behind with a median rent of ***** Canadian dollars.

Consumer Price Index, monthly, not seasonally adjusted (1 2 3) Frequency: Monthly Table: 18-10-0004-01 (formerly CANSIM 326-0020) Release date: 2022-09-20 Geography: Canada, Province or territory, Census subdivision, Census metropolitan area, Census metropolitan area part

Footnotes: 1. The Consumer Price Index (CPI) is not a cost-of-living index. The objective behind a cost-of-living index is to measure changes in expenditures necessary for consumers to maintain a constant standard of living. The idea is that consumers would normally switch between products as the price relationship of goods changes. If, for example, consumers get the same satisfaction from drinking tea as they do from coffee, then it is possible to substitute tea for coffee if the price of tea falls relative to the price of coffee. The cheaper of the interchangeable products may be chosen. We could compute a cost-of-living index for an individual if we had complete information about that person's taste and spending habits. To do this for a large number of people, let alone the total population of Canada, is impossible. For this reason, regularly published price indexes are based on the fixed-basket concept rather than the cost-of-living concept. 2. This table replaces table 18-10-0008-01 which was archived with the release of April 2007 data. 3. From April 2020 to November 2021, and from January 2022 to February 2022, certain sub-indexes and components thereof were imputed using special approaches in either one, or more months. The affected indexes include child care services; housekeeping services; air transportation; personal care services; recreational services; travel tours; spectator entertainment; use of recreational facilities and services; beer served in licensed establishments; wine served in licensed establishments, and liquor served in licensed establishments. The details of these treatments from April 2020 to March 2021 are provided in technical supplements available through the Prices Analytical Series. Starting in April 2021 4. The goods and services that make up the Consumer Price Index (CPI) are organized according to a hierarchical structure with the all-items CPI" as the top level. Eight major components of goods and services make up the "all-items CPI". They are: "food” 5. Food includes non-alcoholic beverages. 6. Part of the increase first recorded in the shelter index for Yellowknife for December 2004 inadvertently reflected rent increases that actually occurred earlier. As a result, the change in the shelter index was overstated in December 2004, and was understated in the previous two years. The shelter index series for Yellowknife has been corrected from December 2002. In addition, the Yellowknife All-items Consumer Price Index (CPI) and some Yellowknife special aggregate index series have also changed. Data for Canada and all other provinces and territories were not affected. 7. The special aggregate energy" includes: "electricity” 8. Goods are physical or tangible commodities usually classified according to their life span into non-durable goods, semi-durable goods and durable goods. Non-durable goods are those goods that can be used up entirely in less than a year, assuming normal usage. For example, fresh food products, disposable cameras and gasoline are non-durable goods. Semi-durable goods are those goods that may last less than 12 months or greater than 12 months depending on the purpose to which they are put. For example, clothing, footwear and household textiles are semi-durable goods. Durable goods are those goods which may be used repeatedly or continuously over more than a year, assuming normal usage. For example, cars, audio and video equipment and furniture are durable goods. 9. A service in the Consumer Price Index (CPI) is characterized by valuable work performed by an individual or organization on behalf of a consumer, for example, car tune-ups, haircuts and city public transportation. Transactions classified as a service may include the cost of goods by their nature. Examples include food in restaurant food services and materials in clothing repair services.

How to cite: Statistics Canada Table 18-10-0004-01 Consumer Price Index, monthly, not seasonally adjusted https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1810000401

At the end of each fiscal year, government-wide financial information is published in the Public Accounts. This dataset presents the total travel and living costs paid to each commission's member.

This dataset provides an analysis of average monthly prices for four essential food items, namely Eggs, Milk, Bread, and Potatoes, in five different countries: Australia, Japan, Canada, South Africa, and Sweden. The dataset spans a five-year period, from 2018 to 2022, offering a comprehensive overview of how food prices have evolved over time in these nations.

The dataset includes information on the average monthly prices of each food item in the respective countries. This information can be valuable for studying and comparing the cost of living, assessing economic trends, and understanding variations in food price dynamics across different regions.

Use Cases:

Comparative Analysis: Researchers and analysts can compare food prices across the five countries over the five-year period to identify patterns, trends, and variations. This analysis can help understand differences in purchasing power and economic factors impacting food costs.

Cost of Living Studies: The dataset can be used to examine the cost of living in different countries, specifically focusing on the expenses related to basic food items. This information can be beneficial for individuals considering relocation or policymakers aiming to evaluate living standards.

Economic Studies: Economists and policymakers can utilize this dataset to analyze the impact of economic factors, such as inflation or currency fluctuations, on food prices in different countries. It can provide insights into the stability and volatility of food markets in each region.

Forecasting and Planning: Businesses in the food industry can leverage the dataset to forecast future food price trends and plan their operations accordingly. The historical data can serve as a foundation for predictive models and assist in optimizing pricing strategies and supply chain management.

Note: The dataset is based on average monthly prices and does not capture individual variations or specific regions within each country. Further analysis and interpretation should consider additional factors like seasonal influences, local market dynamics, and consumer preferences.

Monthly indexes and percentage changes for selected sub-groups of the shelter component of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse and Yellowknife. 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.

House prices in British Columbia and Ontario were notably higher than any other province in Canada in 2024. The average house price in any other province was less than ******* Canadian dollars, whereas in British Columbia and Ontario, it exceeded ******* Canadian dollars. The most affordable province to buy a home was Newfoundland, where the average home cost about ******* Canadian dollars.

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.

Major wage settlements, including number of agreements, number of employees, average duration of agreements, first year average percentage wage adjustment, and annual average percentage wage adjustment, by jurisdiction, industry, sector, and cost of living adjustment (COLA), quarterly, from 1977 to 2020.

The objective of this survey is to gather information on tuition fees, living accommodation costs at residences/housing and additional compulsory fees paid by full-time university students at Canadian universities. Data are collected annually by questionnaire through the Registrar or the Business Office of universities. Survey results are available at the end of August. Data for undergraduate programs are available by institution, by province, by program and by type of students (Canadian or Foreign). Data for graduate programs are available by institution, by province and by type of students (Canadian or Foreign). Additional compulsory fees are available by institution, by province and by type (athletics, health services, student association, and other). Living accommodation costs at residence/housing are available by institution, by type of students (single or married) and by type of costs (room, meal plan,or both). For current TLAC data refer to Statistics Canada

Statistics Canada. Table 37-10-0045-01 Canadian and international tuition fees by level of study.

The Tuition and Living Accommodation Costs (TLAC) survey collects data for full-time students at Canadian degree-granting institutions that are publicly funded. This annual survey was developed to provide an overview of tuition and additional compulsory fees, and living accommodation costs for an academic year.

The TLAC survey data are used to - provide stakeholders, the public and students with annual tuition costs and changes in tuition fees from the previous year - contribute to a better understanding of the costs to obtain a degree - contribute to education policy development - contribute to the Consumer Price Index - facilitate interprovincial comparisons - facilitate comparisons between institutions.

Reference period: Academic year (September 1 to April 30)

Subjects - Education, training and learning

Major wage settlements, including number of agreements, number of employees, average duration of agreements, first year average percentage wage adjustment, and annual average percentage wage adjustment, by jurisdiction, industry, sector, and cost of living adjustment (COLA), quarterly, from 1977 to 2020.

Number of persons by shelter-cost-to-income ratio, tenure, First Nations people living off reserve, Métis and Inuit and gender, Canada, provinces and territories.

This Gallup poll aims to collect the opinions of Canadians, on topics currently of interest to them, and the government. While there are some questions directly about politics and political leaders, the majority of the variables deal with current events topics, and subjects of political importance. Other subjects include birth control, development of the country, unions, and lotteries. The respondents were also asked questions so that they could be grouped according to geographic and social variables. Topics of interest include: American investment in Canada; birth control pills; whether Canada is becoming socialistic; changes in the cost of living; the development of Canada as a nation; federal elections; John Diefenbaker's performance as leader of the opposition; L.B. Johnson's performance as the President of the United States; labour union politics; Lester Pearson's performance as Prime Minister; a lottery to help pay for health and welfare; Tommy Douglas' performance as leader of the NDP; union membership; and voting behaviour. Basic demographics variables are also included.