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Description:

This table contains 29 series, with data for years 2009 - 2019 (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 item: Canada) Central government debt (29 items: A. Federal debt (accumulated deficit), (B - E); B. Net debt, (C - D); C. Liabilities, gross debt; Accounts payable and accrued liabilities; ...).

Description: This table contains 18 series, with data starting from 1979 (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 ...) Alternative measures (18 items: Consumer Price Index (CPI) excluding food; energy and the effect of indirect taxes; seasonally adjusted; Consumer Price Index (CPI) excluding the effect of indirect taxes; seasonally adjusted; Consumer Price Index (CPI) excluding the effect of indirect taxes; Consumer Price Index (CPI) excluding food; energy and the effect of indirect taxes ...).

Description: This table contains 26 series, with data for years 2009 - 2019 (not all combinations necessarily have data for all years), and was last released on 2019-07-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Central government operations (26 items: A. Budgetary balance, deficit (-) / surplus (+), (B - C); B. Revenues; C. Expenses; Program expenses; ...).

Description:

Weekly Itinerant aircraft movements (domestic, transborder and international), total of all Canadian airports with NAV CANADA towers.

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Canada's international transactions in securities cover portfolio transactions in Canadian and foreign securities. Monthly data on sales, purchases and net flows are available by type of instrument and issuer.

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Canada's international transactions in securities cover portfolio transactions in Canadian and foreign securities. Quarterly data on sales, purchases and net flows are available by type of instrument and issuer.

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Canada's international transactions in securities cover portfolio transactions in Canadian and foreign securities. Monthly data on sales, purchases and net flows are available by type of instrument and for 6 countries/regions.

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Monthly data on Canada's international transactions securities in Canadian bonds by type of issuer and type of transaction.

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Monthly data on Canada's international transactions securities in Canadian bonds are available by currency of issue and type of transaction.

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Monthly data on Canada's international transactions securities in Canadian equity and investment fund shares by type of transaction.

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Household income, consumption and saving and their subcomponents, distributions, dollar values and dollar value per household, by household characteristics such as income quintile, age, housing tenure and composition, Canada, provinces and territories, 2020 quarter one to current quarter.

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Wealth indicators and distributions, by household characteristics such as income quintile, age, housing tenure and composition, Canada, annual 2010 to 2019 and quarterly starting 2020.

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Wealth indicators and distributions, by household characteristics such as income quintile, age, housing tenure and composition, Canada, regions and provinces, annual 2010 to 2019 and quarterly starting 2020.

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Household counts used in the distributions of household economic accounts, by household characteristics such as income quintile, age, housing tenure and composition, Canada, provinces and territories, 2020 quarter one to current quarter.

Description: This interactive tool details the median employment income earned by postsecondary graduates two and five years after obtaining their educational qualification.

Description: This interactive tool allows for custom manipulation and visualization of wealth data sourced from the Distributions of Household Economic Accounts. By clicking within the tool, you will be able to filter, highlight and select various wealth and wealth indicator items by distribution category.

This product  is released on a quarterly basis.

Description:

This table contains 29 series, with data for years 2009 - 2019 (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 item: Canada) Central government debt (29 items: A. Federal debt (accumulated deficit), (B - E); B. Net debt, (C - D); C. Liabilities, gross debt; Accounts payable and accrued liabilities; ...).

Description: This table contains 18 series, with data starting from 1979 (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 ...) Alternative measures (18 items: Consumer Price Index (CPI) excluding food; energy and the effect of indirect taxes; seasonally adjusted; Consumer Price Index (CPI) excluding the effect of indirect taxes; seasonally adjusted; Consumer Price Index (CPI) excluding the effect of indirect taxes; Consumer Price Index (CPI) excluding food; energy and the effect of indirect taxes ...).

Description: This table contains 26 series, with data for years 2009 - 2019 (not all combinations necessarily have data for all years), and was last released on 2019-07-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Central government operations (26 items: A. Budgetary balance, deficit (-) / surplus (+), (B - C); B. Revenues; C. Expenses; Program expenses; ...).

Description:

Weekly Itinerant aircraft movements (domestic, transborder and international), total of all Canadian airports with NAV CANADA towers.

Description: This thematic series groups different statistical products related to ethnicity, languages, and immigration. It features analytical documents of varying scopes, such as population profiles, reference materials, data products (including tables and factsheets), among other document types.

Description: Record linkage aims at identifying record pairs related to the same unit and observed in two different data sets, say A and B. Fellegi and Sunter (1969) suggest each record pair is tested whether generated from the set of matched or unmatched pairs. The decision function consists of the ratio between m(y) and u(y),probabilities of observing a comparison y of a set of k>3 key identifying variables in a record pair under the assumptions that the pair is a match or a non-match, respectively. These parameters are usually estimated by means of the EM algorithm using as data the comparisons on all the pairs of the Cartesian product ?=A×B. These observations (on the comparisons and on the pairs status as match or non-match) are assumed as generated independently of other pairs, assumption characterizing most of the literature on record linkage and implemented in software tools (e.g. RELAIS, Cibella et al. 2012). On the contrary, comparisons y and matching status in ? are deterministically dependent. As a result, estimates on m(y) and u(y) based on the EM algorithm are usually bad. This fact jeopardizes the effective application of the Fellegi-Sunter method, as well as automatic computation of quality measures and possibility to apply efficient methods for model estimation on linked data (e.g. regression functions), as in Chambers et al. (2015). We propose to explore ? by a set of samples, each one drawn so to preserve independence of comparisons among the selected record pairs. Simulations are encouraging.

Description: The authors used the Splink probabilistic linkage package developed by the UK Ministry of Justice, to link census data from England and Wales to itself to find duplicate census responses. A large gold standard of confirmed census duplicates was available meaning that the results of the Splink implementation could be quality assured. This paper describes the implementation and features of Splink, gives details of the settings and parameters that we used to tune Splink for our particular project, and gives the results that we obtained.

Description: Estimation at fine levels of aggregation is necessary to better describe society. Small area estimation model-based approaches that combine sparse survey data with rich data from auxiliary sources have been proven useful to improve the reliability of estimates for small domains. Considered here is a scenario where small area model-based estimates, produced at a given aggregation level, needed to be disaggregated to better describe the social structure at finer levels. For this scenario, an allocation method was developed to implement the disaggregation, overcoming challenges associated with data availability and model development at such fine levels. The method is applied to adult literacy and numeracy estimation at the county-by-group-level, using data from the U.S. Program for the International Assessment of Adult Competencies. In this application the groups are defined in terms of age or education, but the method could be applied to estimation of other equity-deserving groups.

Description: In accordance with Statistics Canada’s long-term Disaggregated Data Action Plan (DDAP), several initiatives have been implemented into the Labour Force Survey (LFS). One of the more direct initiatives was a targeted increase in the size of the monthly LFS sample. Furthermore, a regular Supplement program was introduced, where an additional series of questions are asked to a subset of LFS respondents and analyzed in a monthly or quarterly production cycle. Finally, the production of modelled estimates based on Small Area Estimation (SAE) methodologies resumed for the LFS and will include a wider scope with more analytical value than what had existed in the past. This paper will give an overview of these three initiatives.

Description: Sampling variance smoothing is an important topic in small area estimation. In this paper, we propose sampling variance smoothing methods for small area proportion estimation. In particular, we consider the generalized variance function and design effect methods for sampling variance smoothing. We evaluate and compare the smoothed sampling variances and small area estimates based on the smoothed variance estimates through analysis of survey data from Statistics Canada. The results from real data analysis indicate that the proposed sampling variance smoothing methods work very well for small area estimation.

Description: The Australian Bureau of Statistics (ABS) is committed to improving access to more microdata, while ensuring privacy and confidentiality is maintained, through its virtual DataLab which supports researchers to undertake complex research more efficiently. Currently, the DataLab research outputs need to follow strict rules to minimise disclosure risks for clearance. However, the clerical-review process is not cost effective and has potential to introduce errors. The increasing number of statistical outputs from different projects can potentially introduce differencing risks even though these outputs from different projects have met the strict output rules. The ABS has been exploring the possibility of providing automatic output checking using the ABS cellkey methodology to ensure that all outputs across different projects are protected consistently to minimise differencing risks and reduce costs associated with output checking.

Description: With the availability of larger and more diverse data sources, Statistical Institutes in Europe are inclined to publish statistics on smaller groups than they used to do. Moreover, high impact global events like the Covid crisis and the situation in Ukraine may also ask for statistics on specific subgroups of the population. Publishing on small, targeted groups not only raises questions on statistical quality of the figures, it also raises issues concerning statistical disclosure risk. The principle of statistical disclosure control does not depend on the size of the groups the statistics are based on. However, the risk of disclosure does depend on the group size: the smaller a group, the higher the risk. Traditional ways to deal with statistical disclosure control and small group sizes include suppressing information and coarsening categories. These methods essentially increase the (mean) group sizes. More recent approaches include perturbative methods that have the intention to keep the group sizes small in order to preserve as much information as possible while reducing the disclosure risk sufficiently. In this paper we will mention some European examples of special focus group statistics and discuss the implications on statistical disclosure control. Additionally, we will discuss some issues that the use of perturbative methods brings along: its impact on disclosure risk and utility as well as the challenges in proper communication thereof.

Description: The publication of more disaggregated data can increase transparency and provide important information on underrepresented groups. Developing more readily available access options increases the amount of information available to and produced by researchers. Increasing the breadth and depth of the information released allows for a better representation of the Canadian population, but also puts a greater responsibility on Statistics Canada to do this in a way that preserves confidentiality, and thus it is helpful to develop tools which allow Statistics Canada to quantify the risk from the additional data granularity. In an effort to evaluate the risk of a database reconstruction attack on Statistics Canada’s published Census data, this investigation follows the strategy of the US Census Bureau, who outlined a method to use a Boolean satisfiability (SAT) solver to reconstruct individual attributes of residents of a hypothetical US Census block, based just on a table of summary statistics. The technique is expanded to attempt to reconstruct a small fraction of Statistics Canada’s Census microdata. This paper will discuss the findings of the investigation, the challenges involved in mounting a reconstruction attack, and the effect of an existing confidentiality measure in mitigating these attacks. Furthermore, the existing strategy is compared to other potential methods used to protect data – in particular, releasing tabular data perturbed by some random mechanism, such as those suggested by differential privacy.

Description: Education and training is acknowledged as fundamental for the development of a society. It is a complex multidimensional phenomenon, which determinants are ascribable to several interrelated familiar and socio-economic conditions. To respond to the demand of supporting statistical information for policymaking and its monitoring and evaluation process, the Italian National Statistical Institute (Istat) is renewing the education and training statistical production system, implementing a new thematic statistical register. It will be part of the Istat Integrated System of Registers, thus allowing relating the education and training phenomenon to other relevant phenomena, e.g. transition to work.

Description: Data from the Census of Population are important for all communities and are vital to plan services that support education, employment, transportation, health care and housing. To maintain the relevance of the census, Statistics Canada evaluates and reviews the census questionnaire content for each census cycle. In preparation for the 2026 Census, Statistics Canada consulted Canadians from fall 2022 to spring 2023. Detailed responses were received from organizations and individuals representing federal, provincial, territorial and local government departments; First Nations people, Métis and Inuit; the general public; academia; special interest groups; and the private sector.

This report focuses on the findings of the 2026 Census data needs consultation and stakeholder discussions. Chapter 1 explains whom we consulted. Chapter 2 describes the strength of census data users’ needs such as the size of the population of interest. Chapter 3 provides an assessment of the perceived data gaps in census content and the availability and suitability of alternative data sources. Chapter 4 focuses on information needs by census topic and how preparations for the 2024 Census Test will help meet these needs.

Description: These reference guides are intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The guide provides an overview of the Postsecondary Student Information System (PSIS) and the Registered Apprenticeship Information System (RAIS), the general methodology used to create longitudinal indicators, and important technical information for users.

Description: User consultation is the first step in determining Census Program content. The findings of content consultations are presented in these reports.

Description: The Guide to the Survey of Employment, Payrolls and Hours contains a dictionary of concepts and definitions and covers topics such as survey methodology, data collection and processing, and data quality. It also provides information on products and services, as well as the survey questionnaire.

Description: This handbook complements the tables of the Pan-Canadian Education Indicators Program (PCEIP). It is a guide that provides general descriptions for each indicator and indicator component. PCEIP has five broad indicator sets: a portrait of the school-age population; financing education systems; elementary and secondary education; postsecondary education; and transitions and outcomes.

The Pan-Canadian Education Indicators Program (PCEIP) is a joint venture of Statistics Canada and the Council of Ministers of Education, Canada.

Description: Health regions are defined by the provinces and represent administrative areas or regions of interest to health authorities. This product contains correspondence files (linking health regions to latest Census geographic codes) and digital boundary files. User documentation provides an overview of health regions, sources, methods, limitations and product description (file format and layout).

In addition to the geographic files, this product also includes Census data (basic profile) for health regions.

Description: This report presents the results of a study on the estimated number of children eligible for instruction in the minority official language, pursuant to section 23 of the Canadian Charter of Rights and Freedoms, who were classified as ineligible in the 2021 Census because relationships between family members living at different addresses could not be established within this data source. Using other data sources, including previous censuses and administrative data (such as vital statistics and tax data), we were able to establish these family relationships within the 2021 Census. This report presents the methods and data sources used first, then the results by selected regions and age groups.

Description: This document presents a complete list of the social inclusion indicators for ethnocultural groups in Canada that are available on the homepage of our Gender, Diversity and Inclusion Statistics Hub. The information provided for each indicator includes a short description of the corresponding derivation, available data sources, reference years and accessible levels of geographical and disaggregation. Each indicator has a corresponding products number (data tables, visualization tools and analytical documents). This document has been updated to reflect the social inclusion indicators and associated products that are available in 2024.

Description:

This report deals with Indigenous identity, Indigenous ancestry, Indigenous group, Registered or Treaty Indian status, Membership in a First Nation or Indian band, Membership in a Métis organization or Settlement, and Enrollment under an Inuit land claims agreement, and contains explanations of concepts, data quality, historical comparability and comparability with other sources, as well as information on data collection, processing and dissemination.

Description: The data for the products associated with this technical reference guide are derived from an early version of the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA). Data on special topics linked to income and income tax deductions can be derived from the T1 income tax returns. Topics of interest for this preliminary release of the T1 data can vary from year to year.