For more than half of Canadians interviewed by the Leger Institute in March 2022, inflation had an impact on household debt. Conversely, according to *** person in ****, this phenomenon had no impact on their household debt. At the end of 2021, the cost of living and inflation were the first things Canadians mentioned when asked what the next government's priority should be.
In March 2022, only **** percent of people surveyed in Canada by the Leger Institute considered that inflation had no impact on their household in terms of gas. Conversely, for half of Canadians, inflation had a large negative impact on their household regarding gas. At the end of 2021, the cost of living and inflation were the first things Canadians mentioned when asked what the next government's priority should be.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Indication of whether households had experienced an extreme weather event or natural disaster, the nature of the event, the impact of the event, and whether an alert had been received. Includes an indication of the preferred method of notification for future events. The data are from the Households and the Environment Survey.
According to a survey conducted in May 2023 in Canada, ** percent of the respondents aged between 18 and 34 declared that the state of their household's finances was good. On the other hand, almost ** percent of the people aged 55 and older declared the same.
In Canada, only **** percent of people surveyed in ********** by the Leger Institute considered that inflation had no impact on their household in terms of groceries. Conversely, for slightly more than a third of Canadians, inflation had a large negative impact on their household regarding groceries. At the end of 2021, the cost of living and inflation were the first things Canadians mentioned when asked what the next government's priority should be.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table shows the awareness of air quality advisories and their influence on the behaviours and activities of Canadian households. The unit of measure is percent. The table is biennial; however the content is not collected every cycle of the Households and the Environment Survey.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Household finances affect consumption and thereby impact on access to technology, travel and leisure. The level of disposable income directly influences quality of life, as it may be a necessary condition in order to access such services as health, education and the basic necessities of life. Those households that spend a disproportionate amount on accommodation or receive a disproportionate amount of income through government transfer payments experience inverse impacts on quality of life, since they are less able to acquire a wide range of goods and services.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Household finances affect consumption and thereby impact on access to technology, travel and leisure. The level of disposable income directly influences quality of life, as it may be a necessary condition in order to access such services as health, education and the basic necessities of life. Those households that spend a disproportionate amount on accommodation or receive a disproportionate amount of income through government transfer payments experience inverse impacts on quality of life, since they are less able to acquire a wide range of goods and services.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the median household income in Canadian County. It can be utilized to understand the trend in median household income and to analyze the income distribution in Canadian County by household type, size, and across various income brackets.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Canadian County median household income. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Canada Household Credit data was reported at 3,042,048.000 CAD mn in Feb 2025. This records an increase from the previous number of 3,035,875.000 CAD mn for Jan 2025. Canada Household Credit data is updated monthly, averaging 1,212,984.000 CAD mn from Jan 1990 (Median) to Feb 2025, with 422 observations. The data reached an all-time high of 3,042,048.000 CAD mn in Feb 2025 and a record low of 355,663.000 CAD mn in Jan 1990. Canada Household Credit data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.KB001: Credit Liabilities: Households. [COVID-19-IMPACT]
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in New Canada town. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/new-canada-me-median-household-income-by-race-trends.jpeg" alt="New Canada, Maine median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for New Canada town median household income by race. You can refer the same here
Only ** percent of the Canadians surveyed in March 2022 by the Leger Institute considered that inflation had no impact on their household in terms of vacations. Conversely, for slightly more than a quarter of Canadians, inflation had a large negative impact on their household regarding vacations. At the end of 2021, the cost of living and inflation were the first things Canadians mentioned when asked what the next government's priority should be.
The data and programs replicate tables and figures from "The heterogeneous effects of COVID-19 on Canadian household consumption, debt and savings", by MacGee, Pugh and See. Please see the ReadMe file for additional details.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Canada CA: GDP: PPP: Household Final Consumption Expenditure data was reported at 1,314,449.221 Intl $ mn in 2023. This records an increase from the previous number of 1,236,228.693 Intl $ mn for 2022. Canada CA: GDP: PPP: Household Final Consumption Expenditure data is updated yearly, averaging 655,437.983 Intl $ mn from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 1,314,449.221 Intl $ mn in 2023 and a record low of 299,646.253 Intl $ mn in 1990. Canada CA: GDP: PPP: Household Final Consumption Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. This indicator provides values for households and NPISHs final consumption expenditure expressed in current international dollars converted by purchasing power parity (PPP) conversion factor. Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries. From July 2020, “Households and NPISHs final consumption expenditure: linked series (current LCU)” [NE.CON.PRVT.CN.AD] is used as underlying expenditure in local currency unit so that it’s in line with time series of PPP conversion factor, private consumption (LCU per international $), which are extrapolated with linked CPI.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Gap-filled total;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the median household income in Canadian. It can be utilized to understand the trend in median household income and to analyze the income distribution in Canadian by household type, size, and across various income brackets.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Canadian median household income. You can refer the same here
Crowdsourcing: Impacts of COVID-19 on Canadians – Parenting during the pandemic is the fifth iteration in the continuing series of crowdsourcing cycles. The overall goal of the crowdsourcing initiative is to invite all adults in the Canadian population who are parents to a child less than 15 years old living in the same household to participate in a data collection exercise on a voluntary basis. The main topic of this fifth crowdsourcing was to determine concerns and experience of parents with regards to the health and social life of their children less than 15 years old, as well as time invested in child care and schooling of their children less than 15 years old in the context of the COVID-19 pandemic, that is from March 15, 2020 to the time of collection.
The economic contribution as a result of the production of infrastructure assets due to investment is presented for valued added (GDP), compensation of employees and number of jobs. Value-added is a key measure of economic performance. It represents the output of an industry minus the value of intermediate inputs that were used up in the production of the goods and services. Within the Infrastructure Economic Accounts, this is the value added due to an industry's production of infrastructure assets. The number of jobs represents the number of jobs held by the self-employed, employees and unpaid family workers. The compensation of employees represents the wages and salaries, and supplementary labour income due to labour inputs for the production of infrastructure assets.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Canadian household income by age. The dataset can be utilized to understand the age-based income distribution of Canadian income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Canadian income distribution by age. You can refer the same here
The Survey of Household Spending provides detailed information on household expenditures, dwelling characteristics, and ownership of household equipment. Data were collected via personal interviews conducted in January through March 2002 using a paper questionnaire. Information was gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during 2001. The survey covered private households in the 10 provinces and three territories. (In order to reduce response burden for northern households, the SHS is conducted in the north only every second year, starting in 1999.) The Survey of Household Spending (first conducted for the 1997 reference year) includes most of the content from the former Family Expenditure Survey and the Household Facilities and Equipment Survey. Detailed information was collected about expenditures for consumer goods and services, changes in assets, mortgages and other loans, and annual income. This information was collected for the calendar year 2001 (the survey reference year). Information was also collected about dwelling characteristics (e.g., type and age of heating equipment) and household equipment (e.g., appliances, communications equipment, and vehicles). This type of information was collected as of December 31st of the reference year. For 2001 only, extra questions were included in the survey so that data from the SHS could be used in the weighting of the Consumer Price Index. This change may affect historical comparisons for a few variables. There were also new questions added to the 2001 SHS. The expenditure questions covered yarn and thread, regular and other leasing fees for vehicles, and cable and satellite services. Questions were also added about the presence in the home of a satellite dish, DVD player or CD writer, and the type of Internet connection. For current Survey of Household Spending data refer to Statistics Canada Access data here
This dataset explores the consumer price index (CPI) by province for 2005. * 2002 = 0 A consumer price index (CPI) is an index number measuring the average price of consumer goods and services purchased by households. It is one of several price indices calculated by national statistical agencies. The percent change in the CPI is a measure of inflation. The CPI can be used to index (i.e., adjust for the effects of inflation) wages, salaries, pensions, or regulated or contracted prices. The CPI is, along with the population census and the National Income and Product Accounts, one of the most closely watched national economic statistics. Note: Annual average indexes are obtained by averaging the indexes for the 12 months of the calendar year. Source: Statistics Canada, CANSIM, table (for fee) 326-0021 and Catalogue nos. 62-001-X and 62-010-X. Last modified: 2008-04-22.
For more than half of Canadians interviewed by the Leger Institute in March 2022, inflation had an impact on household debt. Conversely, according to *** person in ****, this phenomenon had no impact on their household debt. At the end of 2021, the cost of living and inflation were the first things Canadians mentioned when asked what the next government's priority should be.