This dataset is the underlining data for the publication "Practices Before Policy: Research Data Management Behaviours in Canada" consisting of data from 13 institutions that ran the surveys. The institutions include: Cape Breton University, École nationale d'administration publique (ENAP), Institut national de la recherche scientifique (INRS), Queen's University, Trinity Western University, Universite du Quebec a Trois-Rivieres, Université TELUQ, University of British Columbia, University of Ottawa, University of Toronto, University of Victoria, University of Waterloo, Western University. This research was conducted by a consortium of Canadian universities who had surveyed researchers to identify research data management (RDM) practices, needs and attitudes.

About this dataset

Context

The dataset tabulates the New Canada town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for New Canada town. The dataset can be utilized to understand the population distribution of New Canada town by age. For example, using this dataset, we can identify the largest age group in New Canada town.

Key observations

The largest age group in New Canada, Maine was for the group of age 10-14 years with a population of 81 (20.00%), according to the 2021 American Community Survey. At the same time, the smallest age group in New Canada, Maine was the 80-84 years with a population of 1 (0.25%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the New Canada town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of New Canada town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for New Canada town Population by Age. You can refer the same here

This collection contains anonymized survey data collected from 1350 responding Social Enterprises in all Canadian provinces and territories, with the exception of Quebec. The surveys were conducted in 2014 and 2015. For the purposes of these surveys, social enterprises were defined as follows: "A social enterprise is a business venture owned or operated by a non-profit organization that sells goods or provides services in the market for the purpose of creating a blended return on investment, both financial and social/environmental/cultural". The purpose of the surveys, and of making the data available, is to support the development of the social enterprise sector in Canada by highlighting the size, scope and impact of social enterprises. Funding for the surveys has included the Social Sciences and Humanities Research Council, the Institute for Community Prosperity, Mount Royal University, Enterprising Non-Profits Canada, the TRICO Foundation of Calgary, and Employment and Social Development Canada, and generous local sponsors and supporters. These surveys have been undertaken with the tremendous support, dedication and enthusiasm of provincial umbrella groups that want to see social enterprises develop and flourish in Canada. Without these organizations this initiative would not have been possible. The collections consists of 11 SPSS-format Data Files, 11 excel-format Variable Keys and 10 pdf-format Questionnaires. Geographical information for each individual file can be found in item_metadata.csv. The researchers who created this dataset would be pleased to hear from you and how you have used this data (pvhall@sfu.ca and pelson@uvic.ca). Software used was SPSS. Confidentiality declaration: Use of this anonymized survey microdata has been approved by the SFU Research Ethics Board. Survey respondents were assured that their names would be kept confidential, as would the individual answers they provide. Hence all identifying variables, as well as open-response text fields and almost all financial data (except total revenue and expense) have been deleted. This dataset was originally deposited in the Simon Fraser University institutional repository.

This study investigated the perspectives of Canadian health sciences librarians on the research data management aspects of knowledge synthesis search strategies and the potential barriers they may face. The specific research questions guiding the project include: RQ1: What are health sciences librarians’ perspectives on retaining intellectual ownership and control over their contributions to knowledge synthesis?   RQ2: Where do they publish or share their contributions (e.g., search strategies)? RQ3: What are health sciences librarians’ perspectives on applying research data management (RDM) competencies and practices to their intellectual work regarding knowledge synthesis projects?  To address these research questions, we developed and implemented a survey of health science librarians across Canada in 2024. This dataset contains a README file (TXT), documentation (PDFs), the anonymized quantiative dataset (CSV and TAB), R markdown notebook scripts to produce the figures (RMD), and the anonymized qualitative responses and analysis codes (CSV and TAB), as well as a codebook for the qualitative analysis.

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.

“Summer” missions occur in June, July and August and these focus on the Scotian Shelf and Bay of Fundy (i.e. 4VWX 5Yb, expanding recently to include the Laurentian Channel and Georges Bank (5Zc). Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere. “Summer” cruises occur in May, June, July and August and these focus on the Scotian Shelf and Bay of Fundy (i.e. 4VWX). Cite this data as: Clark, D., Emberley, J. Data of MARITIMES SUMMER RESEARCH VESSEL SURVEYS. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/1366e1f1-e2c8-4905-89ae-e10f1be0a164

"Fall" missions occur primarily in October and November, but sets from September and December are also present in the data. Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere. "Fall" cruises occur in September, October, November and December. Cite this data as: Clark, D., Emberley, J. Data of Maritimes Fall Research Vessel Survey. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/5f82b379-c1e5-4a02-b825-f34fc645a529

The BC Demographic Survey: DIP Linkage Rates resources provide information on data linkage between the 2023 BC Demographic Survey and other available datasets in the Data Innovation Program (DIP). Overall linkage rates are provided for each DIP administrative dataset, which indicate the percentage of records that can be linked to records from the BC Demographic Survey. The summary and detail resources look at specific comparisons between a DIP dataset’s demographic variables (if present) and those from the survey, which is done at a high-level, as well as comparing the variable values themselves. This information will assist researchers exploring issues related to anti-racism in government in understanding how the Survey data can supplement their planned research using other administrative datasets in DIP. The data provided in this catalogue is also viewable in an accompanying dashboard: https://bcstats.shinyapps.io/bc-demographic-survey-dip-data-linkage-rates

About this dataset

Context

The dataset tabulates the Little Canada population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Little Canada. The dataset can be utilized to understand the population distribution of Little Canada by age. For example, using this dataset, we can identify the largest age group in Little Canada.

Key observations

The largest age group in Little Canada, MN was for the group of age 30-34 years with a population of 994 (9.29%), according to the 2021 American Community Survey. At the same time, the smallest age group in Little Canada, MN was the 85+ years with a population of 190 (1.78%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Little Canada is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Little Canada total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Little Canada Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Little Canada by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Little Canada. The dataset can be utilized to understand the population distribution of Little Canada by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Little Canada. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Little Canada.

Key observations

Largest age group (population): Male # 55-59 years (488) | Female # 60-64 years (533). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Little Canada population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Little Canada is shown in the following column.
• Population (Female): The female population in the Little Canada is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Little Canada for each age group.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Little Canada Population by Gender. You can refer the same here

Concussions in sport are a recognized public health issue due to the frequency of occurrence and their potential short and long-term consequences, including cognitive, emotional and physical symptoms and, when left undetected, even death. This research is essential for gathering information on Canadians’ current understanding of concussions (and particularly concussions in children and youth) in order to inform the development of a Pan-Canadian Concussion Strategy. This research will also help establish a baseline of information, which will be used to measure progress and report on performance, following the implementation of the Canadian Guideline on concussion in sport and protocols on return-to-learn and return-to-play.

Context

This dataset is the anonymized result of responses submitted to a survey collected by the Canadian Department of Justice in 2016. This survey "...focuses on the criminal justice system (CJS) to inform the current criminal justice system review...[this] involved a traditional public opinion research survey, in informed choice survey and in person and online focus groups...this work was undertaken to support reforms and new initiatives in this area."

This dataset is the survey component of this review.

Content

Respondents were asked over 50 questions on their perception of how the Canadian Justice system works at large. This dataset was published in a typical survey output format, in that most questions are 1-10 rating scales or 0-1 True/False questions, with some free-text responses intermixed. To understand the fields, please see the attached data dictionary, or otherwise access it here.

Acknowledgements

This data was published as-is by the Government of Canada, here. It is licensed under the Open Government License - Canada.

Inspiration

In a time of increasingly invective dialogue between police forces and the people they police, this dataset provides a window on the general level of satisfaction and concern that Canadian government citizens have with their country's justice systems. These results are mostly generalizable to the developed world as a whole.

The BC Demographic Survey: DIP Linkage Rates resources provide information on data linkage between the 2023 BC Demographic Survey and other available datasets in the Data Innovation Program (DIP). Overall linkage rates are provided for each DIP administrative dataset, which indicate the percentage of records that can be linked to records from the BC Demographic Survey. The summary and detail resources look at specific comparisons between a DIP dataset’s demographic variables (if present) and those from the survey, which is done at a high-level, as well as comparing the variable values themselves. This information will assist researchers exploring issues related to anti-racism in government in understanding how the Survey data can supplement their planned research using other administrative datasets in DIP. The data provided in this catalogue is also viewable in an accompanying dashboard: https://bcstats.shinyapps.io/bc-demographic-survey-dip-data-linkage-rates

PURPOSE: The research survey provides a fisheries-independent source of information about all marine living organisms that are captured by the fishing trawl used to obtain samples in the southern Gulf of St. Lawrence. DESCRIPTION: Tow, catch, length frequency, and biological information for fish caught during the annual September research vessel trawl surveys in the southern Gulf of St. Lawrence (NAFO Division 4T). Abundance indices and spatial distribution patterns of commercial and non-commercial groundfish. The catch data that appear in this dataset SHOULD NOT BE USED FOR ECOLOGICAL ANALYSES INVOLVING CATCH RATES. Important factors such as vessel, fishing gear and diurnal periods must be accounted for to use these data in analyses. Please contact the data custodians if you are interested in using this data for any kind of ecological analyses involving catch rates. PARAMETERS COLLECTED: abundance estimates (ecological); distribution (ecological); species counts (ecological); gear (fishing); vessel information (fishing); point (spatial) NOTES ON QUALITY CONTROL: Scientific names listed in the survey species list have been mapped to recognized standards - marine taxa have been mapped to the World Register of Marine Species (WoRMS) using their online taxon match tool. All sampling locations were plotted on a map to perform a visual check confirming that the latitude and longitude coordinates were within the described sampling area. In 2003, because of a fire aboard the Alfred Needler, the Wilfred Templeman was used for the survey. However, no comparative fishing experiments have been conducted between the Alfred Needler and the Wilfred Templeman. We are therefore unable to integrate the indices derived for 2003 to the remainder of the survey time-series. SAMPLING METHODS: Sampling Method: Consult the "Protocols for research vessel cruises within the Gulf Region (dermersal fish) (1970-1980)" report, link provided in the citations list. USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

Context

In the context of the COVID-19 pandemic, the Privy Council Office (PCO), the secretariat responsible for providing nonpartisan advice to the Prime Minister and coordinating the work of federal government departments and agencies, needed ongoing access to quantitative data describing the evolution of Canadians' perceptions, attitudes, knowledge, and behaviours in this uncertain context. The Behavioural Insight Tool (BI), developed by the World Health Organization (WHO), was used as the data collection tool for this study. At each survey wave, the collection tool was adjusted to reflect the evolution of the pandemic and the primary data needs of PCO.

The main objectives of this study were to provide PCO and other government departments (e.g., Health Canada & Public Health Agency of Canada) with research-based information on Canadians’ perceptions, knowledge and behaviours relating to COVID-19.

This includes:

· trust in health authorities, recommendations, and information;

· risk perceptions;

· acceptance of recommended behaviours;

· knowledge;

· barriers/drivers to recommended behaviours;

· misperceptions;

· and stigma.

Note: Since a sample drawn from an Internet panel is not probabilistic in nature, the margin of error cannot be calculated for this survey. Respondents for this survey were selected from among those who have volunteered to participate/registered to participate in online surveys. The results of such surveys cannot be described as statistically projectable to the target population. The data have been weighted to reflect the demographic composition of the target population. Because the sample is based on those who initially self-selected for participation, no estimates of sampling error can be calculated.

Content

Each survey variable is described in the Data_Dictionary_FINAL.xlsx together with other metadata. All data originates as-is from the Library and Archives Canada website here.

This study was conducted through a web-based survey of the Canadian population aged 18 and over who can speak English or French. The respondents were randomly selected through the Leo panel, our panel of Canadian Internet users comprising nearly half a million Internet users.

Eight waves of studies were completed for this research project. A sample of 2,000 respondents was collected each wave. Since this was a longitudinal study, the objective was to re-invite the 2,000 respondents from wave 1 in subsequent survey waves. Our goal was to maximize the number of respondents who respond to the maximum number of survey waves. Respondents who cease to participate in subsequent waves were replaced following the gender, age and regional quotas that was be implemented in the project.

All respondents were contacted via email by Leger. All invitations were bilingual to ensure that no respondent gets a unilingual invitation in the wrong official language. Each respondent was provided with an invitation that includes preapproved information from PCO regarding the nature of the research (i.e. Government of Canada) including the required information for consent and the rights and obligations of respondents.

Fieldwork for this survey took place from April 10, 2020 to September 16, 2020. Details of the eight waves are provided in the following sections.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Major Questions are

• Can you help to identify which factors drive Covid-19 vaccine hesitancy?
• Can you classify the survey respondents with machine learning? The target variable would be E1r1 "If an effective COVID-19 vaccine becomes available and is recommended for me, I would get it. - Please give your opinion on the following statements." Which are predictors of high importance?
• Can you segment the respondents into groups/segments and relate those to vaccine behaviors?

License

Excerpt from https://www.bac-lac.gc.ca/eng/Pages/terms-and-conditions.aspx and for further clarification see the website.

Non-commercial reproduction

Unless otherwise specified, you may reproduce materials in whole or in part, in any format, if the work is not being revised or translated, for non-commercial purposes or for cost-recovery purposes without charge or further permission, provided you do the following:

• Exercise due diligence in ensuring the accuracy of the materials reproduced;
• Indicate both the complete title of the materials reproduced, as well as the author (where available); and
• Indicate that the reproduct...

PURPOSE: Trawl survey data used primarily for assessing the status of snow crab stocks in the southern Gulf of St. Lawrence. DESCRIPTION: Tow, catch, and biological information for snow crab and other species caught during the annual snow crab research vessel trawl survey in the southern Gulf of St. Lawrence. Currently, the survey uses a stratified random design that divides the area into 355 square grids, each measuring 12.7 km by 12.7 km. The survey area spans the majority of snow crab habitat in the southern Gulf, at depths ranging from 20 to 200 fathoms. Sampling stations are trawled during civil twilight hours using a Bigouden Nephrops bottom trawl net. The vessel operates at a target speed of 2 knots for a duration of 5 minutes, maintaining a warp-to-depth ratio of 3:1, with a maximum warp length of 575 fathoms. PARAMETERS COLLECTED: Snow crab: sex, carapace width, height of male crab claw, shell condition, gonad colour, egg colour, eggs remaining, and missing legs. Other species: counts, and weights Other: GPS coordinates; swept area; depth; temperature; CTD profile; NOTES ON QUALITY CONTROL: Data are checked for irregularities and errors. SAMPLING METHODS: Survey catches are sorted by species or taxonomic groups and measured directly on board. All snow crab are measured, while select fish species are measured only for a subset of survey stations. USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

Northwest Territories, Yukon, and Nunavut (representing approximately 0.3 percent of the Canadian population) were excluded.

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Canada is 1007.

Mode of data collection

Landline and mobile telephone

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

This research is a joint effort of the Foundation, all participating colleges and the Association of Canadian Community Colleges (ACCC). The survey collects data on college students' income, expenditures and use of time. The survey is unique in that it provides national-level information on the challenges Canadian college students face in terms of financial and access issues. The objectives of the research are to: provide national-level data on student access; time use and financing for Canadian college students from participating colleges; identify issues particular to certain learner groups and/or regions; and provide each institution with top-line survey results (based on representative samples of their students), which may then be compared against the "national average". In January 2003, the Foundation engaged Prairie Research Associates (PRA) Inc. to oversee this research. This dataset was freely received from the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National Coverage. Sample excludes the Northwest Territories, Nunavut, and Yukon, which represent approximately 0.3% of the population.

Analysis unit

Individual

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Sample survey data [ssd]

Frequency of data collection

Triennial

Sampling procedure

As in the first edition, the indicators in the 2014 Global Findex are drawn from survey data covering almost 150,000 people in more than 140 economies-representing more than 97 percent of the world's population. The survey was carried out over the 2014 calendar year by Gallup, Inc. as part of its Gallup World Poll, which since 2005 has continually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 140 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. The set of indicators will be collected again in 2017.

Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or is the customary methodology. In most economies the fieldwork is completed in two to four weeks. In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid. In economies where cultural restrictions dictate gender matching, respondents are randomly selected through the Kish grid from among all eligible adults of the interviewer's gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size in Canada was 1,004 individuals.

Mode of data collection

Other [oth]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

Questions on cash withdrawals, saving using an informal savings club or person outside the family, domestic remittances, school fees, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden, “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, D.C.

Abstract

Well-functioning financial systems serve a vital purpose, offering savings, credit, payment, and risk management products to people with a wide range of needs. Yet until now little had been known about the global reach of the financial sector - the extent of financial inclusion and the degree to which such groups as the poor, women, and youth are excluded from formal financial systems. Systematic indicators of the use of different financial services had been lacking for most economies.

The Global Financial Inclusion (Global Findex) database provides such indicators. This database contains the first round of Global Findex indicators, measuring how adults in more than 140 economies save, borrow, make payments, and manage risk. The data set can be used to track the effects of financial inclusion policies globally and develop a deeper and more nuanced understanding of how people around the world manage their day-to-day finances. By making it possible to identify segments of the population excluded from the formal financial sector, the data can help policy makers prioritize reforms and design new policies.

Geographic coverage

The sample excludes Yukon, Northwest Territories, and Nunavut. The excluded area represents approximately 0.3% of the total adult population.

Analysis unit

Individual

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Global Findex indicators are drawn from survey data collected by Gallup, Inc. over the 2011 calendar year, covering more than 150,000 adults in 148 economies and representing about 97 percent of the world's population. Since 2005, Gallup has surveyed adults annually around the world, using a uniform methodology and randomly selected, nationally representative samples. The second round of Global Findex indicators was collected in 2014 and is forthcoming in 2015. The set of indicators will be collected again in 2017.

Surveys were conducted face-to-face in economies where landline telephone penetration is less than 80 percent, or where face-to-face interviewing is customary. The first stage of sampling is the identification of primary sampling units, consisting of clusters of households. The primary sampling units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid.

Surveys were conducted by telephone in economies where landline telephone penetration is over 80 percent. The telephone surveys were conducted using random digit dialing or a nationally representative list of phone numbers. In selected countries where cell phone penetration is high, a dual sampling frame is used. Random respondent selection is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to teach a person in each household, spread over different days and times of year.

The sample size in Canada was 1,013 individuals.

Mode of data collection

Landline telephone

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup, Inc. also provided valuable input. The questionnaire was piloted in over 20 countries using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

Questions on insurance, mobile payments, and loan purposes were asked only in developing economies. The indicators on awareness and use of microfinance insitutions (MFIs) are not included in the public dataset. However, adults who report saving at an MFI are considered to have an account; this is reflected in the composite account indicator.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country- and indicator-specific standard errors, refer to the Annex and Country Table in Demirguc-Kunt, Asli and L. Klapper. 2012. "Measuring Financial Inclusion: The Global Findex." Policy Research Working Paper 6025, World Bank, Washington, D.C.