This exercise uses data from the National Population Health Survey (NPHS). You will deconstruct a table to find out what the numbers mean and why a researcher or student might need to go beyond the printed table in Canadian Social Trends (we'll do it gently!). (Note: Data associated with this presentation is available on the DLI FTP site under folder 1873-214.)

The number of social media users in Canada was forecast to continuously increase between 2024 and 2029 by in total 4.1 million users (+12.55 percent). After the ninth consecutive increasing year, the social media user base is estimated to reach 36.79 million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

The report provides a snapshot of the social media usage trends amongst online Canadian adults based on an online survey of 1500 participants. Canada continues to be one of the most connected countries in the world. An overwhelming majority of online Canadian adults (94%) have an account on at least one social media platform. However, the 2022 survey results show that the COVID-19 pandemic has ushered in some changes in how and where Canadians are spending their time on social media. Dominant platforms such as Facebook, messaging apps and YouTube are still on top but are losing ground to newer platforms such as TikTok and more niche platforms such as Reddit and Twitch.

This dataset provides valuable insights into the per capita income of Canada over a specific time period, allowing users to explore and analyze the economic trends and disparities in the country. Per capita income is a crucial economic indicator that measures the average income earned by individuals in a given region, making it an essential factor in understanding the overall economic well-being of a nation.The dataset contains detailed information on Canada's per capita income and the data has been meticulously collected and compiled from various reputable sources, such as official government publications, national statistical agencies, economic research institutions, and financial reports.As you explore and analyze this dataset, please acknowledge the original data sources to give credit to the efforts of data providers. Additionally, any findings or conclusions drawn from this dataset should be appropriately cited, contributing to the collective knowledge and understanding of Canada's economic landscape.

This presentation outlines how to deconstruct a statistical fact using data from the National Population Health Survey (NPHS). A reported finding is traced back to the original data in the public use file and then this finding is replicated.

*********************** and *********************************************** are the top two answers among Canadian consumers in our survey on the subject of "Most common social media activities".The survey was conducted online among 12,946 respondents in Canada, in 2025.

Social media usage in Canada has seen a notable shift, with the average time spent on platforms decreasing to *** hour and ** minutes in early 2024, down from *** hours and **** minutes in 2023. Platform preferences and demographics Facebook Messenger remains the most popular messaging app among Canadian consumers, while YouTube has overtaken Facebook as the leading social media platform for news consumption. In 2024, ** percent of Canadians surveyed reported using YouTube weekly for news updates. Meta's social media platforms, including Facebook, are particularly popular with users aged 25 to 34, who make up the largest share of the company's audience in Canada. This age group accounts for approximately one-quarter of Facebook users in the country. Increasing social media usage Facebook currently has around **** million users in Canada, a number expected to grow to over **** million by 2029. This growth aligns with the overall trend of increasing social media adoption in the country, despite the recent decrease in average daily usage time.

Dataset

This dataset was created by Shilpa K

Released under CC0: Public Domain

Contents

Non-traditional data signals from social media and employment platforms for 0P0001K2FA.TO stock analysis

The General Social Survey (GSS) gathers data on social trends in order to monitor changes in the living conditions and well-being of Canadians over time, and to provide immediate information on specific social policy issues of current or emerging interest. This survey monitors changes in time use to better understand how Canadians spend and manage their time and what contributes to their well-being and stress. The data collected provides information to all level of governments when making funding decisions, developing priorities and identifying areas of concern for legislation, new policies and programs. Researchers and other users use this information to inform the general Canadian population about the changing nature of time use in Canada such as: o Are we working too many hours and spending too much time commuting? o Do we have flexible work schedules? o Do we have enough time to play sports, participate in leisure activities or volunteer? o Are we spending enough quality time with our children, our families and our friends? o How has the internet and social media affected the way we spend our time? o Are we satisfied with our lives? New elements were introduced to the GSS cycle for 2015. First, the survey frame has changed. Previous GSS cycles on Time Use were conducted as Random Digit Dialling (RDD) surveys and did not include cellular numbers. In 2015,the survey was implemented using the redesigned GSS frame created in 2013, which integrates data from sources of telephone numbers (landline and cellular) available to Statistics Canada and the Address Register (AR). Second, there is a new weighting strategy and bootstrap weights have also been changed from mean bootstrap to standard bootstrap weights.

This report provides a snapshot of the social media usage trends among online Canadian adults in 2020.

The 'Canada Per Capita Income' dataset offers a comprehensive collection of data showcasing the average income per person in Canada across numerous years. Its primary objective is to furnish valuable insights into the economic well-being and financial advancement of the Canadian populace. It serves as an invaluable resource for economists, researchers, policymakers, and analysts, facilitating the examination of income distribution trends, evaluation of the effects of economic policies, and the identification of wealth disparities.

The dataset draws its information from dependable and authoritative sources, primarily the official statistical agencies of the Canadian government, notably Statistics Canada. These agencies routinely gather and disseminate data on various economic indicators, including per capita income, through a variety of means such as surveys, censuses, and economic reports.

The motivation behind the creation of this dataset stems from the critical importance of per capita income as a fundamental metric for assessing a nation's standard of living and economic progress. By presenting historical data, this dataset empowers users to monitor Canada's economic journey, discern patterns of growth or decline, and delve into the factors influencing shifts in individual income levels. A thorough understanding of this dataset is crucial in shaping evidence-based policies that promote fair economic opportunities and overall prosperity for all members of the Canadian population.

Non-traditional data signals from social media and employment platforms for CM stock analysis

The Unified Infrastructure for Canadian Census Research, or UNI·CEN, is a comprehensive database of historical and contemporary Canadian aggregate Census data, digital boundary files, and ancillary material, all provided in modern data formats. The goal of the project is to liberate Canadian Census data so that it can be easily used by academic researchers, students, and the public. The UNI·CEN Standardized Census Data Tables series contains reformatted versions of all publicly available digital Census data. This documentation report describes the data sources, tabular formats, and file types used. Citation: Taylor, Zack. 2022. "UNI·CEN Documentation Report 2: Standardized Census Data Tables.” London, Canada: Network for Economic and Social Trends, Western University. https://ir.lib.uwo.ca/nest_observatory_docs/3 Available at: https://ir.lib.uwo.ca/nest_observatory_docs/3

This table contains 7 series, with data for years 1991 - 2004 (not all combinations necessarily have data for all years), and was last released on 2004-05-25. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Retail trade sectors (7 items: Total retail; all stores;Automotive;General merchandise stores;Food ...).

In Canada Social Commerce Market , was valued at approximately USD 10.11 billion in 2022 and is projected to reach USD 12.45 billion by 2029,

The Quality of Life Project was a five-year research program that began in 1976 and was officially titled "Social Change in Canada: Trends in Attitudes, Values, and Perceptions." The survey data for the project were collected through the Survey Research Centre at the Institute for Behavioural Research, York University, Ontario. The project's overall purpose was to develop time series measures of the perceived quality of life and of other subjective social indicators for Canada and its major regions. Three national surveys took place in the years 1977, 1979, and 1981, each including more than 3,000 respondents. A panel of about 2,000 respondents was followed through the three sets of interviews. In 1977 and 1981, the data were gathered in sample surveys of not only the general public of Canada but also selected Canadian decision-makers (top business executives, politicians, civil servants, and trade union leaders) to provide for comparisons between the two groups. This data collection contains the 1977 data, designed to measure each respondent's descriptions of, attitudes about, and satisfaction with a variety of domains of everyday life. They include: neighborhood/city/town/county of residence, life as a whole, Canadian and provincial governments, work and housework, personal finances, housing, life goals and values, personal alienation and efficacy, leisure activities and spare time, education, health and physical condition, friendships, marriage and romantic relationships, children, current Canadian political and social issues, and the news media. Background information and interviewer's observational data are also included.

This product presents comparable time-series data for a range of health indicators from a number of sources including the Canadian Community Health Survey, Vital Statistics, and Canadian Cancer Registry.

The "Canada Per Capita Income Prediction" dataset presents a comprehensive collection of historical economic data focused on Canada's per capita income, with the added dimension of predictive analysis. This dataset has been meticulously curated to offer a deep understanding of income trends, enabling researchers, economists, and policymakers to make informed decisions.

Sourced from reputable governmental agencies such as Statistics Canada, the dataset spans several decades, encompassing varying economic scenarios and policy changes. It combines indicators such as GDP growth, employment rates, inflation, and sectoral contributions, providing a holistic view of the factors influencing per capita income.

The inspiration behind compiling and predicting this dataset lies in the crucial need for accurate economic forecasting. As economies continue to evolve, accurate predictions facilitate proactive planning for governments, businesses, and individuals. This dataset empowers researchers to explore correlations between income levels and various economic indicators, shedding light on the potential effects of policy decisions on the citizens' standard of living.

In addition to its analytical utility, this dataset can serve as an educational resource, allowing students and enthusiasts to grasp the complexities of economic dynamics and predictive modeling. By offering this dataset, we aim to foster a data-driven approach to understanding the economic landscape and contribute to evidence-based discussions on economic policies, growth, and prosperity in Canada.

Yearly citation counts for the publication titled "The Social Lives of Canadian Youths with Visual Impairments".