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People who have been granted permanent resident status in Canada. Please note that in these datasets, the figures have been suppressed or rounded to prevent the identification of individuals when the datasets are compiled and compared with other publicly available statistics. Values between 0 and 5 are shown as “--“ and all other values are rounded to the nearest multiple of 5. This may result to the sum of the figures not equating to the totals indicated.
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This table provides quarterly estimates of the number of non-permanent residents by type for Canada, provinces and territories.
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This table contains 25 series, with data for years 1955 - 2013 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Last permanent residence (25 items: Total immigrants; France; Great Britain; Total Europe ...).
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Components of international migratory increase, quarterly: immigrants, emigrants, returning emigrants, net temporary emigrants, net non-permanent residents.
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Qualified people in the Express Entry pool who have been invited to apply for permanent residence status. Please note that in these datasets, the figures have been suppressed or rounded to prevent the identification of individuals when the datasets are compiled and compared with other publicly available statistics. Values between 0 and 5 are shown as “--“ and all other values are rounded to the nearest multiple of 5. This may result to the sum of the figures not equating to the totals indicated.
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This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).
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Number of unemployed persons and persons not in the labour force by reason for leaving job during previous year, gender and age group, monthly.
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Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.
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Rising antisemitism, Islamophobia, homophobia and transphobia have left too many people feeling unsafe in their own communities. The Government of Canada has introduced the Combatting Hate Act to better protect access to places of worship, as well as schools, community centres and other specified places, and to more clearly address and denounce hate-motivated crime.
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TwitterDemographics (2006 and 2011 Census Data) This dataset contains three worksheets. The full description for each column of data is available in the first worksheet called "IndicatorMetaData". The data came from the 2006 and 2011 Census. Some of the data from the 2011 Census was not available at the time of publishing. Refer to the descriptions in worksheet 1 for more information. Users should note that the data for each neighbourhood are based on the mathematical aggregation of smaller sub-areas (in this case Census Tracts) that when combined, define the entire neighbourhood. Since smaller areas may have their values rounded or suppressed (to abide by Statistics Canada privacy standards), the overall total may be undercounted. Population Total (2016 Census Data) The data refers to Total Population from the 2016 Census, aggregated by the City of Toronto to the City's 140 Neighbourhood Planning Areas. Although Statistics Canada makes a great effort to count every person, in each Census a notable number of people are left out for a variety of reasons. For Census 2016: Population and Dwellings example, people may be travelling, some dwellings are hard to find, and some people simply refuse to participate. Statistics Canada takes this into account and for each Census estimates a net 'undercoverage' rate for the urban region, the Toronto Census Metropolitan Area (CMA), but not for the city. The 2011 rate for the Toronto CMA was 3.72% plus or minus 0.53%. The 2016 rate is not yet available
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Canadians elect representatives to the House of Commons. The leader of the party who has the confidence of a majority of members of the House forms the Government. This data explores the results of elections over the past couple of decades.
This dataset includes the election results from seven elections over the past twenty years, and has been updated to reflect the 2019 election. Election results are provided at the polling-station level. As Canada is a bi-lingual nation, some variables are given in both English and French. Some of the variable names have been left overly long and will want renaming (let's face it, it wouldn't be a data science project if there wasn't at least some data cleaning involved).
I have identified errors in the 1997 raw data file that I downloaded from the Elections Canada website. These errors involve incorrect tallies of votes by poll, such that the candidate riding totals do not match the actual candidate votes by riding for one riding that has been identified (and possibly others, as yet unidentified). Consequently, the results file does not currently include results from 1997, however information regarding this election remains in other files, as the identified errors do not involve the election date, riding names, or candidate details, for example. If a correct version of the poll-by-poll results data is located for the 1997 election, I will update the results file and re-upload.
All data contained within this dataset was taken from the Elections Canada website, with some wrangling to ensure consistency across elections. The data is a reproduction of data available from this link: https://elections.ca/content.aspx?section=ele&dir=pas&document=index&lang=e
Licensing information is provided at this link: https://www.elections.ca/content.aspx?section=pri&document=index&lang=e
Elections data has many applications, looking at party support over time, or the geographic trends of party support within a single election. The incumbency indicator may be useful for exploring the extent to which incumbency may benefit a candidate. Candidate occupations may lend themselves to some sort of text analysis or wordclouds.
I aim to update it with information regarding returning officers. I also hope to update it with by-election information.
Note that in the Ridings.CSV file, there are two sets of district names. The first use two hyphens to separate place names, while the second uses an em dash. The first will be more useful for filtering, etc, in your Kernels, while the second is better for outputs and reports.
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Passengers enplaned and deplaned at Canadian airports, annual.
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The main purpose of this survey is to study the coverage of the Employment Insurance (EI) program. It provides a meaningful picture of who does or does not have access to EI benefits among the jobless and those in a situation of underemployment. The Employment Insurance Coverage Survey also covers access to maternity and parental benefits. The survey was designed to produce a series of precise measures to identify groups with low probability of receiving benefits, for instance, the long-term jobless, labour market entrants and students, people becoming unemployed after uninsured employment, people who have left jobs voluntarily and individuals who are eligible, given their employment history, but do not claim or otherwise receive benefits. The survey provides a detailed description of the characteristics of the last job held as well as reasons for not receiving benefits or for not claiming. Through the survey data, analysts will also be able to observe the characteristics and situation of people not covered by EI and of those who exhausted EI benefits, the job search intensity of the unemployed, expectation of recall to a job, and alternate sources of income and funds. Survey data pertaining to maternity and parental benefits answer questions on the proportion of parents of an infant who received maternity and parental benefits, the reason why some parents do not receive benefits and about sharing parental benefits with their spouse. The survey also allows looking at the timing and circumstances related to the return to work, the income adequacy of households with young children and more.
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The Global Internal Displacement Database (GIDD), maintained by the Internal Displacement Monitoring Centre (IDMC), provides comprehensive, validated annual estimates of internal displacement worldwide. It defines internally displaced persons (IDPs) in line with the 1998 Guiding Principles, as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
The GIDD tracks two primary metrics: "People Displaced" or population "Stock" figures, which represent the total number of people living in displacement at year-end, and "New Displacement," which counts new displacement incidents (population Flows) rather than individual people, accounting for potential multiple displacements by the same person. This dataset serves as a crucial resource for understanding long-term trends and validated displacement figures globally. For further detailed information and complete API specifications, users are encouraged to consult the official documentation at https://www.internal-displacement.org/database/api-documentation/.
"Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year.
"Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.
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The dataset highlights key OPS workforce demographics extracted from the OPS payroll reporting system (WIN), including: * OPS size * Age and tenure * Annual sick leave credit usage * OPS salaries * OPS compensation data by gender A data dictionary is included to define all workforce demographics, metrics and limitations. This data has been released due to the demand expressed through a public vote to determine which datasets the Government of Ontario should publish. This was the fourth most voted on dataset out of a pool of approximately 1000 entries. The Data in this report is as of March 31, 2025, unless otherwise indicated. *[WIN]: Workforce Information Network *[OPS]: Ontario Public Service
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Number of days lost per full-time employee in a year, by public and private sector and gender, annual.
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Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
"People Displaced" refers to the number of people living in displacement as of the end of each year.
"New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.
Contains data from IDMC's Global Internal Displacement Database.
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Number of days lost per full-time employee in a year, by geography and sex, last 5 years.
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Data on the average amount of OSAP debt owed by students. The data is specific to those who attended programs with typical durations. Data is for: * 4-year undergraduate university students * 2-year college diploma students * 1-year private career college students The data fields are: * academic year of completion * postsecondary sector (university, publicly-assisted college, or private career college) * program duration (1 year, 2 years or 4 years) * average repayable debt after loan forgiveness applied through the Ontario Student Opportunity Grant Debt is in nominal dollars with no adjustment for inflation. *[OSAP]: Ontario Student Assistance Program
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Part 7 (Political Activities) of the Public Service Employment Act and its Regulations provide a regime for governing the political activities of public servants, while recognizing the need to balance their rights to engage in political activities with the principle of an impartial public service. As such, public servants may engage in any political activity as long as it does not impair, or is not perceived as impairing, their ability to perform their duties in a politically impartial manner. The Public Service Commission (PSC) is responsible for safeguarding the political impartiality of the public service and public servants’ involvement in political activities, including: - providing guidance with respect to involvement in political activities; - granting permission and leave for candidacy in federal, provincial, territorial and municipal elections; and - investigating allegations of improper political activities and taking corrective action when they are founded Public servants who are seeking nomination as or being a candidate in an election must obtain the PSC permission before entering into any public candidacy activities. The PSC’s decision is based on ensuring political impartiality, and encompasses the nature of the election, the nature of the public servant’s duties and the level and visibility of their position. Conditions may be imposed with the permission, such as leave without pay. For each permission granted, the PSC publishes the decision in the Canada Gazette.
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People who have been granted permanent resident status in Canada. Please note that in these datasets, the figures have been suppressed or rounded to prevent the identification of individuals when the datasets are compiled and compared with other publicly available statistics. Values between 0 and 5 are shown as “--“ and all other values are rounded to the nearest multiple of 5. This may result to the sum of the figures not equating to the totals indicated.