The public use microdata file (PUMF) from the Canadian Internet Use Survey (CIUS) provides data on the adoption and use of digital technologies and the online behaviors of individuals 15 years of age and older living in the ten provinces of Canada. The survey is built off the previous iteration of the CIUS, last conducted in 2012. While there is some comparability with the 2012 CIUS, the 2018 survey was redesigned in 2018 to reflect the rapid pace at which Internet technology has evolved since the previous survey iteration. The files include information on how individuals use the Internet, smartphones, and social networking websites and apps, including their intensity of use, demand for certain online activities, and interactions through these technologies. It also provides information on the use of online government services, digital skills, online work, and security, privacy and trust as it relates to the Internet.

The Canadian Digital Health Survey is a series of surveys conducted annually commissioned by Canada Health Infoway (Infoway) through a third-party vendor. These annually conducted surveys are based on a variety of specific system utilization and attitudinal tracking metrics used in previous years as well as new areas of inquiry. The surveys include core tracking questions as well as new questions that will provide actionable insights to help advance the digital health landscape in Canada. For visualization and be able to filter data to gain insights into the Canadian digital health landscape, please visit Infoway's interactive data and analytics hub: https://insights.infoway-inforoute.ca/

This table contains 336 series, with data for years 1999 - 2009 (not all combinations necessarily have data for all years), and was last released on 2014-06-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Prince Edward Island; Newfoundland and Labrador; Nova Scotia ...), Year of vehicle model (24 items: Total; all vehicle model years; Current year minus 17 years; Current year minus 19 years or more; Current year minus 18 years ...).

The Public-Use Microdata File (PUMF) for the Canadian Housing Survey (CHS) provides information on core housing need, dwelling characteristics and housing tenure, perceptions on economic hardship from housing costs, dwelling and neighbourhood satisfaction, housing moves and intentions to move, community engagement, life and community satisfaction and socio-demographic characteristics. The production of this file includes many safeguards to prevent the identification of any one person or household.

The Office of the Privacy Commissioner of Canada (OPC) commissioned Phoenix Strategic Perspectives (Phoenix SPI) to conduct quantitative research with Canadian businesses on privacy-related issues. To address its information needs, the OPC conducts surveys with businesses every two years to inform and guide outreach efforts. The objectives of this research were to collect data on the type of privacy policies and practices businesses have in place; on businesses’ compliance with the law; and on businesses’ awareness and approaches to privacy protection. The findings will be used to help the OPC provide guidance to both individuals and organizations on privacy issues; and enhance its outreach efforts with small businesses, which can be an effective way to achieve positive change for privacy protection. A 15-minute telephone survey was administered to 800 companies across Canada from November 21 to December 21, 2023. The target respondents were senior decision makers with responsibility and knowledge of their company’s privacy and security practices. Businesses were divided by size for sampling purposes: small (1-19 employees); medium (20-99 employees); and large (100+ employees). The results were weighted by size, sector and region using Statistics Canada data to ensure that they reflect the actual distribution of businesses in Canada. Based on a sample of this size, the results can be considered accurate to within ±3.5%, 19 times out of 20.

Quality of Life survey otherwises known as the Social Change in Canada survey was designed to measure respondents' perceptions of their quality of life, emphasizing measurement of the degree of satisfaction with their lives in general and with particular aspects of them as well as their expectations and aspirations in these area; personal values; alienation; and policy priorities and attitudes. The first wave of the survey was conducted through May, June and July 1977 by the Survey Research Centre, Institute for Behavioural Research, York University.

The near and offshore waters of Atlantic Canada support millions of marine birds, including coastal and island breeders, as well as migrants from the southern hemisphere and northeastern Atlantic. Although tied to land during the breeding season when they raise their young, seabirds exist mostly in the marine environment. Since many spend much of their lives out of sight of land, knowledge of their pelagic distribution and ecology can be difficult to obtain. In 2005 the Canadian Wildlife Service of Environment Canada (EC-CWS) set up a monitoring program for seabirds at sea. This program is ongoing and provides data on current seabird abundance and distribution in order to address conservation and management objectives related to the offshore. The sampling strategy relies on ships-of-opportunity that travel throughout the region at all times of the year. The data provide critical information for environmental assessments of offshore developments, identify areas where birds are at high risk for oil pollution and other human activities, and enable us to monitor trends in the marine environment. In addition, the biological, chemical, and physical data collected concurrently by oceanographers with the Department of Fisheries and Oceans provide the means to examine the linkages between seabirds and their marine habitats.

This table contains 8840 series, with data for years 2012 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...); Low income lines (4 items: Low income cut-offs after tax, 1992 base; Low income cut-offs before tax, 1992 base; Market basket measure, 2011 base; Low income measure after tax); Statistics (5 items: Number of persons in low income; Percentage of persons in low income; Average gap ratio (percent); Median gap ratio (percent); ...); Persons in low income (34 items: All persons; Persons under 18 years; Persons 18 to 64 years; Persons 65 years and over; ...).

This table contains 664 series, with data for years 2009 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (8 items: Canada; Atlantic provinces; Quebec; Ontario; ...) Statistical variables (2 items: Total, all farms; Average per farm) Agriculture balance sheets, revenue and expenses (42 items: Number of farms; Total assets; Current assets; Cash and short term investments, current assets; ...).

This table contains 12960 series, with data for years 2000 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (15 items: Canada; Nova Scotia; Newfoundland and Labrador; Prince Edward Island ...) Age group (12 items: Total; 15 years and over; 20-34 years; 20-24 years; 15-19 years ...) - Sex (3 items: Both sexes; Females; Males ...) Patient satisfaction - health care services (3 items: Received health care services in past 12 months; Quality of health care services received rated as excellent or good; Very or somewhat satisfied with health care services received ...) Characteristics (8 items: Number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons; Low 95% confidence interval - number of persons ...).

Objective: Much of the extensive quantitative research linking socio-economic position (SEP) and health utilizes three common indicators: income, occupation and education. Existing survey data may enable researchers to include indicators of additional forms of capital in their analyses, permitting more nuanced consideration of the relationship between SEP and health. Our objective was to identify the breadth of survey questions related to economic, cultural, and social capital available through Statistics Canada surveys, and the extent to which those surveys also include health measures.Methods: We compiled a list of all population-based Statistics Canada surveys, and developed a broad list of potential indicators of forms of capital. We systematically searched the surveys for those indicators and health measures, analyzing their co-occurrence.Results: Traditional SEP indicators were present in 73% of surveys containing health measures, while additional indicators of social and cultural capital were available in 57%.Conclusion: Existing national survey data represent an under-exploited opportunity for research examining the relationship between various forms of capital and health in Canada. Future empirical explorations of these data could enrich our theoretical understanding of health inequities.

The National Survey of Canadian Nurses is a series of surveys commissioned by Canada Health Infoway (Infoway) and conducted in partnership with the Canadian Nurses Association (CNA) and the Canadian Nursing Informatics Association (CNIA) through a third-party vendor. The main objective of these national surveys of nurses is to investigate the use of digital health technologies in nursing practice across Canada. For visualization and be able to filter data to gain insights into the Canadian digital health landscape, please visit Infoway's interactive data and analytics hub: https://insights.infoway-inforoute.ca/

The 2012 Canadian Nature Survey is part of a series of national surveys on the importance of nature to Canadians. The purpose of the survey is to provide reliable, current information about Canadians’ awareness of nature related concepts, their decisions related to nature, and their involvement in nature-based activities. The 2012 edition updates and expands on information provided by Canadians in the 1996 Survey on the Importance of Nature to Canadians, and the 1981, 1987, and 1991 surveys on the Importance of Wildlife to Canadians. The 2012 Canadian Nature Survey was developed through active collaboration between the federal government and all 13 provincial and territorial governments. During 2012 and 2013 the survey was administered to a nationally representative sample of approximately 15,000 Canadian adults and a selection of nearly 9,000 Web panelists. Data collection consisted of: 1) A mail survey with a Web response option administered to a random sample of residential addresses in Canada stratified by province and territory (excluding Nunavut) and urban versus rural location; 2) A Web survey administered to Web panelists who were recruited to complete the survey by a third party; 3) An opt-in supplement in the Northwest Territories where local Department of Environment and Natural Resources officials: a) contacted a small number of potential respondents, provided an electronic version of the survey, and asked for their participation; and b) provided hard copy versions of the survey at Department offices; 4) An opt-in community-based survey in Nunavut involving door-to-door administration, using paper-based data collection instruments. The survey was offered in English, French, and Inuktitut (in Nunavut). You are encouraged to read the report on the results of the 2012 Canadian Nature Survey, which can be downloaded free of charge from www.biodivcanada.ca. In particular, please review the section entitled Survey Methods which provides detailed descriptions of the sampling approach, the numbers of respondents by geographic and demographic category, the data collection process, the weighting applied to the different samples, and advice on using the data for further analysis. The 2012 Canadian Nature Survey questionnaire is provided as a separate file and is reproduced in the above report in Appendix B: Survey Instrument. The dataset provided is a public use microdata file. Please review the data user's guide provided which contains information on applying weights to the records in the dataset, comparison with previously published results, and the disclosure control strategy applied to the data.

This presentation will cover the impact of COVID-19 on Canadian businesses.

The Canada Survey of Giving, Volunteering and Participating 2007 is the latest iteration of a series of surveys that began with the National Survey of Giving, Volunteering and participating. It was conducted by Statistics Canada in 1997 as a supplement to the Labour Force Survey, and was repeated in the fall of 2000. In 2001, the federal government provided funding to establish a permanent survey program on charitable giving, volunteering and participating within Statistics Canada. The survey itself was renamed the Canada Survey of Giving, Volunteering and Participating (CSGVP). The CSGVP was developed through a partnership of federal government departments and voluntary sector organizations. These include Canadian Heritage, Health Canada, Human Resources and Social Development Canada, Imagine Canada, the Public Health Agency of Canada, Statistics Canada and Volunteer Canada. There are two data files for the 2007 Canada Survey of Giving, Volunteering and Participating (CSGVP): the Main answer file (MAIN.TXT), and the giving file (GS.TXT). The 2007 CSGVP was conducted by Statistics Canada in the provinces and territories from September 10th to December 8th 2007.

This dataset is the result of two surveys, conducted in August and November 2018. Departments and Agencies were asked to indicate whether they were compliant with the Direction on Enabling Access to Web Services. This Policy Implementation Notice instructs departments to enable access to web services on GC electronic networks for unclassified information. The dataset contains a list of departments and their self-assessed compliance with the Direction. The dataset also includes information on the availability of specific social media and productivity websites within each department. This list is a set of examples based on popular service providers; all websites that do not present a security or other risk are open by default, according to the Direction. Site restrictions are determined by the Policy on Acceptable Network and Device Usage

This project was designed to assess Canadian scientists overall views about public engagement in the context of science communication choices about specific tactics they might consider using as part of their engagement efforts. The survey includes random assignment so that respondents were either asked about engagement goals, objectives, and tactics in the context of either regular face-to-face engagement or protest-specific engagement. Michigan State IRB #x17-1485e.

Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time. These infographics will provide a quick overview of Statistics Canada survey data.

These data were collected to assess the importance of campaign dynamics and the impact of events in the understanding of election results. The study consists of five related surveys grouped around two main survey components: the referendum surveys and the election surveys. Respondents participated in at least two surveys, but not in all five. The election surveys were completed just prior to and after the October 25, 1993, Canadian election, and consist of campaign period, post-election, and mail-back components. The referendum surveys were completed just prior to and after the October 26, 1992, referendum on the Charlottetown Accord. The Charlottetown Accord contained various proposals, including the separation of Quebec from Canada as a sovereignty, the guarantee of one-quarter of the seats in the House of Commons to Quebec, and recognition of the right of Canada's aboriginal peoples to govern themselves. The major areas of investigation across all surveys were political and social awareness, attitudes, voting intentions, and behavior centered around major issues of representation, job and employment, government spending, taxes, social programs, crime and punishment, and continentalism. Variables assessed public interest in the referendum by asking respondents about the perceived effect of the referendum on their living standards, their vote intentions, predictions of the outcome of the vote, reactions to the results of the vote, knowledge about and opinions of specific provisions of the Accord, and awareness of the stand taken by political leaders, groups, and organizations regarding the Accord. Other variables probed respondents' opinions of the parties and leaders, Kim Campbell's performance in her cabinet job before she became Prime Minister, women and racial minorities, party preference, ideological leanings, vote history, and position on several policy issues. Additional items address general attitudes toward the deficit and higher taxes, abortion, Senate reform, aboriginal people, Canadian unity and Quebec sovereignty, feminists, homosexuals, immigrants, the business community, the media, unions, God, democracy, unemployment, inflation, and pensions. Demographic data collected on respondents include age, marital status, level of education, employment status, income level, religious affiliation, union affiliation, citizenship, ethnicity, language, and gender.

The CIS (Canadian Income Survey) Dataset contains detailed demographic, economic, and employment-related data of individuals across different provinces in Canada. The dataset is designed to assess key factors affecting income levels, employment history, and financial well-being at an individual level.

🔹 Dataset Overview

Total Variables: 36 (Covering demographic, employment, and financial attributes) Purpose: Used for analyzing income distribution, labor market trends, and economic well-being in Canada. Data Type: A mix of categorical, numerical, and binary data (e.g., Age, Gender, Income, Employment Status). Key Topics Covered: Demographics: Age, Gender, Marital Status, Immigrant Status Education & Employment: Highest Education, Years Worked, Weeks Employed Financial Data: Income after tax, Capital Gains, Pension, Investments Social Benefits: Childcare Benefits, Employment Insurance, Government Assistance

🔹 Significance of the Dataset ✔ Helps policymakers understand income inequality and poverty levels. ✔ Used for research on employment patterns and financial security. ✔ Supports decision-making on government subsidies and social welfare programs.