Administrative data

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All (127)

All (127) (0 to 10 of 127 results)

  • Profile of a community or region: 46-26-0002
    Description: The National Address Register (NAR) is a list of commercial and residential addresses in Canada that are extracted from Statistics Canada's Building Register and deemed non-confidential.
    Release date: 2026-06-26

  • Articles and reports: 12-001-X202500200006
    Description: National Statistical Institutes (NSIs) are directing resources into advancing the use of administrative data in official statistics. Administrative data, however, are not developed for the purpose of producing statistics rather as a result of an event or transaction relating to administrative procedures of organizations, public administrations and government agencies. Therefore, it is essential to check the quality of the administrative data with respect to sources of error, particularly representativeness to the target population. In this paper, we utilize the strength of probability-based reference samples or censuses that can be used to detect the lack of representativeness in administrative data and introduce quality indicators based on distance metrics and representativity indicators (R-indicators). We demonstrate their application with a simulation study and discuss a real application applied on a UK Office for National Statistics (ONS) administrative dataset.
    Release date: 2025-12-23

  • Surveys and statistical programs – Documentation: 11-633-X2025004
    Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 40 years.
    Release date: 2025-12-08

  • Articles and reports: 11-522-X202500100018
    Description: The Child Poverty Reduction Act (2018) outlines a need for the New Zealand Government to set three- and ten-yearly persistent child poverty reduction targets come end of 2024. In the absence of longitudinal survey data, a survey-administrative data hybrid method that will facilitate the production of these reduction targets and official estimates of persistent child poverty once reporting is required for the 2025/2026 financial year onwards is outlined. This hybrid approach leverages off the cross-sectional Household Economic Survey (HES), administrative-based beneficiary's family data, and recent advances developed for the construction of households within the Administrative Population Census (APC) at Statistics New Zealand. With increasing data collection challenges due to rising non-response and costs, this survey-admin hybrid method represents an alternative to longitudinal survey data collection, ensuring ongoing sustainable and quality statistics to produce persistent child poverty estimates.
    Release date: 2025-09-08

  • Stats in brief: 11-001-X202435339164
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-12-18

  • Articles and reports: 11-621-M2024019
    Description: This paper leverages administrative data to examine the distribution of the workforce by gender, age and full-time work status from 2015 to 2023 for the film, television, and video production; film, television, and video post-production; film and video distribution; motion picture theatres; and sound recording and music publishing industries.
    Release date: 2024-12-18

  • Surveys and statistical programs – Documentation: 11-633-X2024004
    Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 40 years.
    Release date: 2024-12-09

  • Articles and reports: 11-522-X202200100012
    Description: At Statistics Netherlands (SN) for some economic sectors two partly-independent intra-annual turnover index series are available: a monthly series based on survey data and a quarterly series based on value added tax data for the smaller units and re-used survey data for the other units. SN aims to benchmark the monthly turnover index series to the quarterly census data on a quarterly basis. This cannot currently be done because the tax data has a different quarterly pattern: the turnover is relatively large in the fourth quarter of the year and smaller in the first quarter. With the current study we aim to describe this deviating quarterly pattern at micro level. In the past we developed a mixture model using absolute turnover levels that could explain part of the quarterly patterns. Because the absolute turnover levels differ between the two series, in the current study we use a model based on relative quarterly turnover levels within a year.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100019
    Description: The purpose of this article is to compare the linkage results for individuals from French tax sources with those of the 2019 Enquête Annuelle de Recensement (EAR), obtained through different methods. Such a comparison will decide whether the Répertoires Statistiques d'Individus et de Logements (Résil) program should be equipped with a probabilistic matching tool for its administrative source identification and matching engine.
    Release date: 2024-03-25

  • Articles and reports: 75F0002M2024002
    Description: This discussion paper describes considerations for applying the Market Basket Measure (MBM) methodology onto a purely administrative data source. The paper will begin by outlining a rationale for estimating MBM poverty statistics using administrative income data sources. It then explains a proposal for creating annual samples along with the caveats of creating these samples, followed by a brief analysis using the proposed samples. The paper concludes with potential future improvements to the samples and provides the opportunity for reader’s feedback.
    Release date: 2024-02-08
Data (1)

Data (1) ((1 result))

  • Profile of a community or region: 46-26-0002
    Description: The National Address Register (NAR) is a list of commercial and residential addresses in Canada that are extracted from Statistics Canada's Building Register and deemed non-confidential.
    Release date: 2026-06-26
Analysis (105)

Analysis (105) (30 to 40 of 105 results)

  • Articles and reports: 12-001-X201700254871
    Description:

    In this paper the question is addressed how alternative data sources, such as administrative and social media data, can be used in the production of official statistics. Since most surveys at national statistical institutes are conducted repeatedly over time, a multivariate structural time series modelling approach is proposed to model the series observed by a repeated surveys with related series obtained from such alternative data sources. Generally, this improves the precision of the direct survey estimates by using sample information observed in preceding periods and information from related auxiliary series. This model also makes it possible to utilize the higher frequency of the social media to produce more precise estimates for the sample survey in real time at the moment that statistics for the social media become available but the sample data are not yet available. The concept of cointegration is applied to address the question to which extent the alternative series represent the same phenomena as the series observed with the repeated survey. The methodology is applied to the Dutch Consumer Confidence Survey and a sentiment index derived from social media.

    Release date: 2017-12-21

  • Articles and reports: 11-633-X2017009
    Description:

    This document describes the procedures for using linked administrative data sources to estimate paid parental leave rates in Canada and the issues surrounding this use.

    Release date: 2017-08-29

  • Articles and reports: 11-633-X2016001
    Description:

    Every year, thousands of workers lose their jobs as firms reduce the size of their workforce in response to growing competition, technological changes, changing trade patterns and numerous other factors. Thousands of workers also start a job with a new employer as new firms enter a product market and existing firms expand or replace employees who recently left. This worker reallocation process across employers is generally seen as contributing to productivity growth and rising living standards. To measure this labour reallocation process, labour market indicators such as hiring rates and layoff rates are needed. In response to growing demand for subprovincial labour market information and taking advantage of unique administrative datasets, Statistics Canada is producing hiring rates and layoff rates by economic region of residence. This document describes the data sources, conceptual and methodological issues, and other matters pertaining to these two indicators.

    Release date: 2016-06-27

  • Articles and reports: 12-001-X201600114543
    Description:

    The regression estimator is extensively used in practice because it can improve the reliability of the estimated parameters of interest such as means or totals. It uses control totals of variables known at the population level that are included in the regression set up. In this paper, we investigate the properties of the regression estimator that uses control totals estimated from the sample, as well as those known at the population level. This estimator is compared to the regression estimators that strictly use the known totals both theoretically and via a simulation study.

    Release date: 2016-06-22

  • Articles and reports: 12-001-X201600114544
    Description:

    In the Netherlands, statistical information about income and wealth is based on two large scale household panels that are completely derived from administrative data. A problem with using households as sampling units in the sample design of panels is the instability of these units over time. Changes in the household composition affect the inclusion probabilities required for design-based and model-assisted inference procedures. Such problems are circumvented in the two aforementioned household panels by sampling persons, who are followed over time. At each period the household members of these sampled persons are included in the sample. This is equivalent to sampling with probabilities proportional to household size where households can be selected more than once but with a maximum equal to the number of household members. In this paper properties of this sample design are described and contrasted with the Generalized Weight Share method for indirect sampling (Lavallée 1995, 2007). Methods are illustrated with an application to the Dutch Regional Income Survey.

    Release date: 2016-06-22

  • Articles and reports: 11-522-X201700014711
    Description:

    After the 2010 Census, the U.S. Census Bureau conducted two separate research projects matching survey data to databases. One study matched to the third-party database Accurint, and the other matched to U.S. Postal Service National Change of Address (NCOA) files. In both projects, we evaluated response error in reported move dates by comparing the self-reported move date to records in the database. We encountered similar challenges in the two projects. This paper discusses our experience using “big data” as a comparison source for survey data and our lessons learned for future projects similar to the ones we conducted.

    Release date: 2016-03-24

  • Articles and reports: 11-522-X201700014715
    Description:

    In preparation for 2021 UK Census the ONS has committed to an extensive research programme exploring how linked administrative data can be used to support conventional statistical processes. Item-level edit and imputation (E&I) will play an important role in adjusting the 2021 Census database. However, uncertainty associated with the accuracy and quality of available administrative data renders the efficacy of an integrated census-administrative data approach to E&I unclear. Current constraints that dictate an anonymised ‘hash-key’ approach to record linkage to ensure confidentiality add to that uncertainty. Here, we provide preliminary results from a simulation study comparing the predictive and distributional accuracy of the conventional E&I strategy implemented in CANCEIS for the 2011 UK Census to that of an integrated approach using synthetic administrative data with systematically increasing error as auxiliary information. In this initial phase of research we focus on imputing single year of age. The aim of the study is to gain insight into whether auxiliary information from admin data can improve imputation estimates and where the different strategies fall on a continuum of accuracy.

    Release date: 2016-03-24

  • Articles and reports: 11-522-X201700014718
    Description:

    This study assessed whether starting participation in Employment Assistance Services (EAS) earlier after initiating an Employment Insurance (EI) claim leads to better impacts for unemployed individuals than participating later during the EI benefit period. As in Sianesi (2004) and Hujer and Thomsen (2010), the analysis relied on a stratified propensity score matching approach conditional on the discretized duration of unemployment until the program starts. The results showed that individuals who participated in EAS within the first four weeks after initiating an EI claim had the best impacts on earnings and incidence of employment while also experiencing reduced use of EI starting the second year post-program.

    Release date: 2016-03-24

  • Articles and reports: 11-522-X201700014729
    Description:

    The use of administrative datasets as a data source in official statistics has become much more common as there is a drive for more outputs to be produced more efficiently. Many outputs rely on linkage between two or more datasets, and this is often undertaken in a number of phases with different methods and rules. In these situations we would like to be able to assess the quality of the linkage, and this involves some re-assessment of both links and non-links. In this paper we discuss sampling approaches to obtain estimates of false negatives and false positives with reasonable control of both accuracy of estimates and cost. Approaches to stratification of links (non-links) to sample are evaluated using information from the 2011 England and Wales population census.

    Release date: 2016-03-24

  • Articles and reports: 11-522-X201700014739
    Description:

    Vital statistics datasets such as the Canadian Mortality Database lack identifiers for certain populations of interest such as First Nations, Métis and Inuit. Record linkage between vital statistics and survey or other administrative datasets can circumvent this limitation. This paper describes a linkage between the Canadian Mortality Database and the 2006 Census of the Population and the planned analysis using the linked data.

    Release date: 2016-03-24
Reference (21)

Reference (21) (10 to 20 of 21 results)

  • Surveys and statistical programs – Documentation: 11-522-X201700014717
    Description:

    Files with linked data from the Statistics Canada, Postsecondary Student Information System (PSIS) and tax data can be used to examine the trajectories of students who pursue postsecondary education (PSE) programs and their post-schooling labour market outcomes. On one hand, administrative data on students linked longitudinally can provide aggregate information on student pathways during postsecondary studies such as persistence rates, graduation rates, mobility, etc. On the other hand, the tax data could supplement the PSIS data to provide information on employment outcomes such as average and median earnings or earnings progress by employment sector (industry), field of study, education level and/or other demographic information, year over year after graduation. Two longitudinal pilot studies have been done using administrative data on postsecondary students of Maritimes institutions which have been longitudinally linked and linked to Statistics Canada Ttx data (the T1 Family File) for relevant years. This article first focuses on the quality of information in the administrative data and the methodology used to conduct these longitudinal studies and derive indicators. Second, it will focus on some limitations when using administrative data, rather than a survey, to define some concepts.

    Release date: 2016-03-24

  • Surveys and statistical programs – Documentation: 11-522-X201700014741
    Description:

    Statistics Canada’s mandate includes producing statistical data to shed light on current business issues. The linking of business records is an important aspect of the development, production, evaluation and analysis of these statistical data. As record linkage can intrude on one’s privacy, Statistics Canada uses it only when the public good is clear and outweighs the intrusion. Record linkage is experiencing a revival triggered by a greater use of administrative data in many statistical programs. There are many challenges to business record linkage. For example, many administrative files not have common identifiers, information is recorded is in non-standardized formats, information contains typographical errors, administrative data files are usually large in size, and finally the evaluation of multiple record pairings makes absolute comparison impractical and sometimes impossible. Due to the importance and challenges associated with record linkage, Statistics Canada has been developing a record linkage standard to help users optimize their business record linkage process. For example, this process includes building on a record linkage blocking strategy that reduces the amount of record-pairs to compare and match, making use of Statistics Canada’s internal software to conduct deterministic and probabilistic matching, and creating standard business name and address fields on Statistics Canada’s Business Register. This article gives an overview of the business record linkage methodology and looks at various economic projects which use record linkage at Statistics Canada, these include projects in the National Accounts, International Trade, Agriculture and the Business Register.

    Release date: 2016-03-24

  • Surveys and statistical programs – Documentation: 11-522-X201700014747
    Description:

    The Longitudinal Immigration Database (IMDB) combines the Immigrant Landing File (ILF) with annual tax files. This record linkage is performed using a tax filer database. The ILF includes all immigrants who have landed in Canada since 1980. In looking to enhance the IMDB, the possibility of adding temporary residents (TR) and immigrants who landed between 1952 and 1979 (PRE80) was studied. Adding this information would give a more complete picture of the immigrant population living in Canada. To integrate the TR and PRE80 files into the IMDB, record linkages between these two files and the tax filer database, were performed. This exercise was challenging in part due to the presence of duplicates in the files and conflicting links between the different record linkages.

    Release date: 2016-03-24

  • Surveys and statistical programs – Documentation: 11-522-X201700014749
    Description:

    As part of the Tourism Statistics Program redesign, Statistics Canada is developing the National Travel Survey (NTS) to collect travel information from Canadian travellers. This new survey will replace the Travel Survey of Residents of Canada and the Canadian resident component of the International Travel Survey. The NTS will take advantage of Statistics Canada’s common sampling frames and common processing tools while maximizing the use of administrative data. This paper discusses the potential uses of administrative data such as Passport Canada files, Canada Border Service Agency files and Canada Revenue Agency files, to increase the efficiency of the NTS sample design.

    Release date: 2016-03-24

  • Surveys and statistical programs – Documentation: 75-005-M2015001
    Description:

    Using the experimental Workplace Survey conducted in 2011, this technical document summarizes the main results and evaluates the quality of the data.

    Release date: 2015-04-28

  • Surveys and statistical programs – Documentation: 82-225-X20060099205
    Description:

    The Death Clearance Overview document describes the Death Clearance module of the Canadian Cancer Registry, its structure, its function and its role in the operation of the national cancer registry. Inputs and outputs are listed and briefly described, as well as the different steps constituting the Death Clearance process.

    Release date: 2006-07-07

  • Surveys and statistical programs – Documentation: 75F0002M2005005
    Description:

    The Survey of Labour and Income Dynamics (SLID) conducts two annual interviews: the Labour interview in January and the Income interview in May. The data are collected using computer-assisted interviewing. Thus there are no paper questionnaires required for data collection. The questions, responses and interview flow for Labour and Income are documented in other SLID research papers. This document presents the information for the 2004 Entry Exit portion of the Labour and the Income interviews (for the 2003 reference year).

    The Entry Exit Component consists of five separate modules. The Entry module is the first set of data collected. It is information collected to update household composition and place of residence. For each person identified in Entry, the Demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the Relationships module identifies (or updates) the relationship between each respondent and every other household member. Relationship data is not collected in the May Income interview. The Exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the Tracing module is also included in this document.

    Release date: 2005-06-16

  • Surveys and statistical programs – Documentation: 31-533-X
    Description:

    Starting with the August 2004 reference month, the Monthly Survey of Manufacturing (MSM) is using administrative data (Goods and Services Tax files) to derive shipments for a portion of the small establishments in the sample. This document is being published to complement the release of MSM data for that month.

    Release date: 2004-10-15

  • Surveys and statistical programs – Documentation: 21-601-M1999042
    Description:

    This paper reconstructs the development and evolution of the Canadian agricultural statistical system. It describes the expanding and increasingly important role of administrative data, which is integrated into survey and census information in order to complement, supplement or replace survey information or to assist with frame maintenance.

    Release date: 2000-01-14

  • Surveys and statistical programs – Documentation: 75F0002M1994012
    Description:

    This report presents general observations of the first annual Survey of Labour and Income Dynamics (SLID) income interview by members of the head office project team. It also gives a summary of responses from a subset of interviewers who were asked to complete a debriefing questionnaire after completing SLID collection.

    Release date: 1995-12-30