Annual Report Privacy 2017/2018

Introduction

The Privacy Act gives Canadian citizens and people living in Canada the right to access their personal information being held by federal government institutions. The Act also protects against unauthorized disclosure of that personal information and it strictly controls how the government collects, uses, stores, discloses, and disposes of any personal information.

The Annual Report on the Administration of the Privacy Act is prepared and submitted, in accordance with section 72 of the Act, and it covers the period from April 1, 2017, to March 31, 2018. The report is tabled in Parliament.

Administration of the Privacy Act

The Privacy Act, which concerns itself with personal information, stipulates that government institutions can collect personal information only if it relates to the operation of programs or activities of these institutions. In the case of Statistics Canada, the Statistics Act provides the authority to collect personal information for statistical purposes. The privacy legislation demands that government institutions inform those from whom information is collected about the purpose of the collection. In addition, institutions are required to protect the collected information from disclosure.

The administration of the privacy legislation within Statistics Canada and the Access to Information and Privacy Coordinator for the Agency is the Director of Information Management Division.

Organization and mandate of Statistics Canada

Statistics Canada's mandate derives primarily from the Statistics Act. The Act requires that the Agency collect, compile, analyze and publish statistical information on the economic, social, and general conditions of the country and its citizens. The Act also requires that Statistics Canada coordinate the national statistical system, in particular, to avoid duplication in the information collected by government. To this end, the Chief Statistician may enter into joint data collection or sharing agreements with provincial and territorial statistical agencies, as well as with federal, provincial and territorial government departments, pursuant to provisions of the Act.

The Statistics Act specifically requires Statistics Canada to conduct a Census of Population and a Census of Agriculture every five years. The Act also gives the Agency substantial powers to request information for statistical purposes through surveys of Canadian businesses and households. Under the Act, the Chief Statistician determines whether a survey will be mandatory or voluntary. Statistics Canada has generally made voluntary household data collection other than the Census of Population and the Labour Force Survey, as the latter produces key economic data. The Census of Agriculture and most other business surveys are mandatory. Refusal to participate in a mandatory survey is subject to legal penalties.

By law, Statistics Canada can also access administrative records, including personal and business tax data, customs declarations, and birth and death records. Such records are critical sources of statistical information that enable the Agency to reduce the reporting burden on businesses and individual respondents. Statistics Canada is considered a leader among the world's statistical agencies in reducing reporting burden by using administrative data.

These mechanisms help Statistics Canada to fulfill its commitment to ensuring that Canadians have all the key information on Canada's economy, society and environment that they require to function effectively as citizens and decision-makers in a rapidly evolving world.

Delegation instrument

The delegation instrument exercises the powers and functions of the Minister as the head of a government institution, pursuant to section 73 of the Privacy Act. The current detailed list of authorities under the Privacy Act has been formally delegated by the Minister of Industry (Appendix A) as of November 2017 and provides full delegated authority to the Director of the Information Management Division and the Chief, Statistical Agreement, Legislation and Licensing Section.

Resources

The Access to Information and Privacy (ATIP) Office operates within an allocation of 2.64 persons/year. The Director of Information Management Division and the Chief, Statistical Agreement, Legislation and Licensing Section have been delegated all the responsibilities. The Chief and Senior Statistical and Legal Analysts are working part-time. A Senior Access to Information and Privacy Project Manager and a Senior Access to Information and a clerk work full-time in the office.

Statistical report

The statistical report provides aggregate data on the application of the Privacy Act. This information is made public annually in an Info Source Bulletin, and is included with the annual report. The following includes the statistical report on privacy for the current reporting period (Appendix B).

Implementation: Privacy

The Privacy Act has a substantial impact on Statistics Canada, but the impact cannot be measured only by the number of requests processed. Although society seeks a broader range of detailed information, it also demands more accountability on the part of government about the collection of personal information and the purposes served by the information. The Agency has taken a number of initiatives to address the privacy challenges this dichotomy raises.

Statistics Canada has internal directives that reflect the basic principles found in the Privacy Act. The Agency's Directive on Informing Survey Respondents requires that all respondents be informed of the expected use of the statistics produced from the survey results, the authority under which the survey is taken, their obligation to respond, the confidentiality protection given to all information collected under the Statistics Act, and any data-sharing arrangements pursuant to provisions of the Statistics Act.

Statistics Canada also developed the Directive on Record Linkage to respond to concerns of both respondents and privacy advocates on the potential of matching an individual's information gathered from a variety of sources.

These two directives not only support compliance with the letter and the spirit of the Privacy Act, but also demonstrate the Agency's commitment to the protection and appropriate use of the personal information under its control, while still meeting its mandate.

Privacy requests

Disposition of requests completed

All disclosed: 30
Disclosed in part: 68
Nothing disclosed (exempt): 2
Does not exist: 38
Abandoned: 10
Total: 148

The Agency received 157 new requests in 2017/2018 and one (1) request was carried over from the previous reporting period. During this period, 148 requests were completed and 10 requests were carried forward to the next reporting period.

For 98 requests, information was disclosed completely or in part. For two requests, the information were all exempted. For 38 requests, the information did not exist, and 10 requests were abandoned by the requestors. The public is the largest privacy client group for Statistics Canada.

In addition to requests from the general public, the Agency receives requests from current and former federal public servants regarding personal or staff relations issues. Statistics Canada responds to a number of requests for personal information through its pension search program. This program provides members of the public with information from their own census records, and from the 1940 National Registration records, to support their applications for pensions, citizenship, passports and other services when other administrative records—such as birth certificates—are required, but no longer exist or were never issued.

Responding to privacy requests involved reviewing more than 20,000 pages, of which over 10,800 were released. Ninety-three (93) requestors received information electronically on CD-ROM and 5 requestors received the information in paper format at their request.

Privacy requests
Fiscal Year	Requests Received	Requests Completed	Number of Pages Processed	Number of Pages Released
2017/2018	157	148	20,216	10,886
2016/2017	112	115	24,628	17,320
2015/2016	115	111	11,058	7,518
2014/2015	55	55	1,748	1,293
2013/2014	118	118	1,661	1,603
2012/2013	47	54	6,534	3,739

Other requests

During this period, Statistics Canada has received three Privacy Act consultation requests from other departments. The information of two of the consultations were all disclosed and for one consultation, the information was disclosed in part.

Disposition of completed requests

The disposition of the 148 requests completed in 2017/2018 was as follows:

30 were fully disclosed (20%)
68 were disclosed in part (46%)
2 were all exempted (1%)
38 had no existing information (26%)
10 were abandoned by applicants (7%)

Completion time and extensions

In 2017/2018 the number of privacy requests completed increased to 148 for an average of 100 over the last six years. All 148 requests processed in 2017/18 were all within the time period and as prescribed by the Act. Several factors contributed to the timely response, information sessions with officials and sector contacts and a streamlined delegation order. Out of the 148 requests, in 69 cases, extensions were taken under paragraph 15 (a)(i) for interference with operations of the department.

The 148 requests completed in 2017/2018 were processed in the following time frames:

43 within 1 to 15 days (29%)
36 within 16 to 30 days (24%)
69 within 31 to 60 days (47%)

Exemptions invoked

In 2017-18, exemptions were invoked as per specific sections of the Privacy Act, the exemptions were as follows:

Section 22 (1) (b): Law enforcement and investigation (9)
Section 26: Exempting personal information about individuals other than the requestor (55)
Section 27: Exempting personal information related to solicitor-client privilege (1)

Costs

In 2017/2018, the ATIP Office incurred an estimated $258,979 in salary costs and $2,642 in costs related to administering the Privacy Act.

Training initiatives for privacy

In 2017/2018, the Access to Information and Privacy (ATIP) Office provided formal instruction to Agency staff on the Act. Two training sessions were held and over 20 people attended.

At the sessions, participants learned about the Act and gained a better understanding of their obligations, policies, directives, personal information collected about employees of Statistics Canada, clients or the public, and appropriate use of such personal information. These sessions were given to divisional and management teams in Information Management Division and Human Resources and several other individual sections across the Agency.

Statistics Canada's Information Management Division offers courses on a variety of subjects related to the Statistics Act and the Privacy Act as well as supporting policies and directives. These include sessions on "Privacy Impact Assessment" and "Privacy and Confidentiality", with a focus on personal information collected about employees of Statistics Canada, clients or the public, and appropriate use of such personal information. Two (2) sessions were provided during the current reporting period to approximately 40 employees from various divisions. Statistics Canada also requires employees to complete computer-based courses on confidentiality. A mandatory course for new employees provides them with a brief overview of confidentiality, illustrating its importance at Statistics Canada. A second course with similar content must be completed by Statistics Canada employees for renewal of their identification card. For most employees, this occurs every three years. In the current reporting period, a total of 1,924 employees completed these courses.

Policies, guidelines and procedures

The ATIP Office has a variety of tools in place to ensure that ATIP sector contacts are well informed about their roles and responsibilities for coordinating privacy requests. These tools include checklists on the steps to follow when providing records for privacy requests and on the availability of the ATIP team throughout the process. There are also a variety of directives and policies provided by Treasury Board Secretariat of Canada about the protection of personal information. Personal information is protected by the Privacy Act and will only be disclosed as permitted by that Act.

Given its unique position in the federal government in collecting personal information solely for statistical and research purposes, Statistics Canada has determined that the privacy issues associated with its survey activities could be addressed by means of a generic Privacy Impact Assessment (PIA) that would address the majority of survey collections undertaken by the Agency under the authority of the Statistics Act. In 2015/2016, Statistics Canada rewrote its generic PIA. In addition to updating information that changed since the 2009 review, the revised PIA covers all aspects of all statistical programs. This updated PIA is posted on the Statistics Canada website.

Nevertheless, in accordance with its Directive on Conducting PIAs, Statistics Canada will conduct PIAs for all new and significantly redesigned surveys and programs involving the collection, use or disclosure of personal information for administrative purposes that raise unique or additional privacy, confidentiality or security risks.

Complaints and investigations

Fifteen new complaints against Statistics Canada were lodged with the Office of the Privacy Commissioner of Canada (OPC). The complaints were about delays and refusal in general. Three complaints were carried over from last year for a total of eighteen (18). From the 15 new complaints, thirteen of them came from the same client. They were all about delays and they should be considered not well-founded because they were all replied on time and as prescribed by the Act.

Five complaints were closed this current fiscal year and they were all about exemptions. Three (3) complaints were not well-founded and two (2) were well-founded and resolved. Thirteen complaints are still being examined.

Monitoring of the requests

At Statistics Canada, the ATIP Office processes and monitors requests by registering them in a comprehensive system known as Privasoft – Case Management. An acknowledgement of the request is sent to the client and a retrieval form is forwarded to the relevant program area, Office of Primary Interest (OPI). If the OPI and/or the ATIP Office need to clarify the request, the ATIP Office contacts the client.

The retrieval form was created by the ATIP Office at Statistics Canada and is based on the Policy on Privacy Protection and the Directive on Privacy Practices from the Treasury Board Secretariat of Canada. The form includes the text of the request, the name of the ATIP Officer and his/her phone number, and the date by which records are required (normally 5 to 10 days). The form states that the ATIP Office is required to report annually on the administrative costs related to requests and thus information is needed on the level(s) and group(s) of those involved in the retrieval and the amount of time spent working on the request (including time for search, retrieval, internal review (relevant or not to the request) and photocopying). The individuals providing the records are asked to identify any records which may be sensitive in nature (e.g., personal information, legal issues) and the Director or Director General of the program area signs the form.

The ATIP Office assists the program areas with the retrieval of records from day one. As 5 to 10 days are allowed for the retrieval, a follow-up is made on the fifth day. If additional time is required for the retrieval, this is when the program area is to notify the ATIP Office. An additional 1 to 5 days may be granted depending on the amount of work remaining. Once the documents are received from the OPI, the ATIP Office ensures the form is duly completed and that it has been signed by the appropriate manager. The ATIP Office takes 5 to 10 days to review and process the records. Once the work from the ATIP Office is completed, the final version is released to the client. The OPI and management are very aware of the importance of ATIP requests.

Privacy breaches

A standard template is used to document incidents. This template incorporates the elements suggested in the Treasury Board of Canada Secretariat's guidelines on how to respond to a privacy breach. The template has been approved by the Agency's senior management. At a minimum, the incident report will contain the following information:

a description of the incident (who, what, when, where, why, how)
the actions already taken and planned for the future
a description of the risks/impacts
any other information that might be helpful in locating any lost item or in assessing the consequences of loss or compromise
recommendations for reducing or eliminating the risk of the event reoccurring in future
information on whether the individuals or organizations whose information was breached were informed of the incident
indication if the individuals, Office of the Privacy Commissioner (OPC) and Treasury Board Secretariat will be informed of the incident and if not, rationale for not informing them.

"Best practices" to eliminate or reduce future recurrences that are identified during an investigation must be communicated to other employees to prevent a recurrence of the breach.

There were 10 privacy breaches at Statistics Canada during the reporting period, of which five were material in nature. A total of 72 people were affected by these 10 breaches. Amongst the 72 people affected, 24 were a result of one incident which was not material in nature. One incident has impacted 40 employees and has been reported as a material breach.

Five material breaches were reported to the OPC, affecting a total of 44 individuals.

In all the material breach cases, efforts were made to inform individuals of the breach, if possible. None of the breaches are known to have led to criminal activity.

Statistics Canada has implemented a number of additional measures specific to the areas which experienced a breach, including the following:

training for employees and managers in multiple divisions
review of procedures and systems.

Privacy impact assessments

The Statistics Canada Directive on Conducting Privacy Impact Assessments (PIAs) specifies the roles and responsibilities of its senior managers and privacy specialists in the Information Management Division with regard to the collection, use and dissemination of personal information. This directive applies to all statistical and non-statistical programs that engage in the collection, use or dissemination of personal information.

In 2006, Statistics Canada developed the Generic PIA for Statistics Canada Surveys (updated in 2015/16), which covers the majority of the Agency's household and business surveys conducted under the authority of the Statistics Act. The generic PIA addresses the ten privacy principles, and includes a threat and risk assessment that focuses on the Agency's major data collection methodologies such as computer-assisted interviewing, self-enumeration, and electronic data reporting. The revised PIA covers all aspects of all statistical programs. This updated PIA is posted on the Statistics Canada website.

For all new and significantly redesigned collections, uses or disclosures of personal information that raise unique or additional privacy, confidentiality or security risks, a supplement to the generic PIA will be produced.

Specific PIAs are also conducted for new or redesigned administrative programs and services that involve the collection, use and disclosure of personal information for administrative purposes that are not addressed in the generic PIA.

In the current reporting period, three PIAs and one supplement were approved and submitted to the Office of the Privacy Commissioner and the Treasury Board Secretariat.

Summaries of completed privacy impact assessments can be found at the following page of Statistics Canada's website: Privacy impact assessments.

The following are brief descriptions:

Electronic Request Approval (ERA) - Travel

A PIA for the Electronic Request Approval (ERA) – Travel was conducted to determine if there were any privacy, confidentiality and security issues associated with ERA – Travel, which is used for travel, and if so, to make recommendations for their resolution or mitigation. The purpose of ERA – Travel is to make the booking and management of travel more efficient and transparent. The platform currently resides on Statistics Canada's secure internal Network (Network A) and access to the platform is restricted to Statistics Canada employees with a valid Statistics Canada IT account, and on a need-to-know basis. There is no change to the personal information elements currently collected by Statistics Canada for travel requests and claims. The assessment did not identify any privacy risks that cannot be managed using existing safeguards. These safeguards include, among others, controlled physical access to the server for authorized personnel only, password protection for access to the server and to ERA-Travel, and configuration and use of a firewall.

HR Analytics Dashboard

A PIA for the HR Analytics Dashboard was conducted to determine if there were any privacy, confidentiality and security issues associated with the HR Analytics Dashboard, and if so, to make recommendations for their resolution or mitigation. Currently, using other HR tools, reports and spreadsheets are duplicated requiring access to multiple databases and applications which is confusing to the user. The HR Analytics Dashboard will consolidate the information found on multiple existing HR tools. The dashboard will create a common set of reports and analysis, making the user-experience easier. There will be no new personal information collected using the HR Analytics Dashboard that is not already collected using other HR tools. The assessment did not identify any privacy risks that cannot be managed using existing safeguards.

GCdocs

A PIA for GCdocs was conducted to determine if there were any privacy, confidentiality and security issues associated with GCdocs, and if so, to make recommendations for their resolution or mitigation. GCdocs is the Government of Canada's official electronic document and records management solution. GCdocs will store, manage and provide access to information created by programs. The information stored will include documents up to a security level of Protected B, with the exception of sensitive statistical information (SSI). No classified or Protected C documents will be stored in GCdocs. While GCdocs will be deployed to all Statistics Canada employees, access to personal information will be restricted to those who need the information for work-related duties. While some potential privacy concerns have been identified, this assessment concludes that, with the existing Statistics Canada safeguards and additional safeguards that have been put in place, such as requesting the service provider (Public Services and Procurement Canada) to block user access to the "personal profile" within GCdocs, the risks are either negligible or are such that Statistics Canada is prepared to accept and manage the risk.

Supplement: Credit Data

A supplement to the generic PIA was conducted for Credit Data to describe the additional safeguards being implemented for collection, processing and use of the credit and financial information due to the highly sensitive nature of this data. Statistics Canada will be acquiring personal and credit information. The data will be used to create a statistical database in support of various statistical programs in the economic and socio-economic fields. Statistics Canada will only make anonymized, aggregated statistical information on Canadian households publically available and as such, individuals will not be identifiable in any product disseminated to the public. This assessment concludes that, with the existing Statistics Canada safeguards and additional safeguards that have been put in place, such as storing identifiers and data files on its own unique, secure servers that have restricted access, any remaining risks are such that Statistics Canada is prepared to accept and manage the risk.

Microdata linkage

As outlined in Statistics Canada's Directive on Microdata Linkage, linkages of different records pertaining to the same individual are carried out only for statistical purposes and only in cases where the public good is clearly evident. One of the primary objectives of these linkages is to produce statistical information that facilitates a better understanding of Canadian society, the economy and the environment.

All microdata linkage proposals must satisfy a prescribed review process as outlined in the directive. In addition to demonstrating the public benefit, each submission must provide details of the output. The public dissemination of any information resulting from microdata linkage, like all other statistical information, is only at an aggregate level which protects the confidentiality of the information of individuals.

In 2017/2018, there were 31 approved microdata linkages that involved personal information. A summary of these record linkages is found in Appendix C.

Types of disclosure under subsection 8(2) of the Privacy Act

Subsection 8(2) of the Privacy Act describes the circumstances under which personal information may be disclosed without the consent of the individual to whom the information pertains. Although this disclosure of personal information is discretionary, it is subject to any other Act of Parliament. In the case of Statistics Canada, the Statistics Act provides a statutory prohibition against disclosure of identifiable information, without the knowledge and consent of the individual concerned. Therefore, personal information collected under the Statistics Act cannot be disclosed pursuant to subsection 8(2).

In the case of personal information, in records held by Statistics Canada, and subject only to the Privacy Act (i.e., those of employees and contractors), disclosures under subsection 8(2) can occur in certain circumstances: for the purpose for which information is obtained or compiled by the institution, for a use consistent with the purpose described in personal information banks registered to Statistics Canada, or for the purpose of complying with subpoenas, warrants, court orders and rules of court.

Paragraph 8(2)(m) of the Privacy Act allows for disclosures of personal information in the public interest, and Paragraph 8(2)(e) allows for disclosures of personal information "to an investigative body…for the purpose of enforcing any law." During the reporting period, Statistics Canada did not disclose any personal information under subsections 8(2)(m) or/and 8(2)(e) of the Privacy Act.

Appendix A

Access to Information and Privacy Acts Delegation Order

The Minister of Industry, pursuant to section 73 of the Access to Information Act and the Privacy Act, hereby designates the persons holding the positions set out in the schedule hereto, or the persons occupying on an acting basis those positions, to exercise the powers and functions of the Minister as the head of Statistics Canada, under the section of the Act set out in the schedule opposite each position. This designation replaces all previous delegation Orders.

Schedule

Schedule
Position	Access to Information Act and Regulations	Privacy Act and Regulations
Chief Statistician of Canada	Full authority	Full authority
Chief of Staff, Office of the Chief Statistician	Full authority	Full authority
Director, Information Management Division	Full authority	Full authority
Chief, Statistical Agreements, Legislation and Licensing Section	Full authority	Full authority
Senior Statistical and Legal Analyst, Statistical Agreements, Legislation and Licensing Section	Sections: 7(a), 8(1), 9, 11(2), 11(3), 11(4), 11(5), 11(6), 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27(1), 27(4), 28(1)(b), 28(2), 28(4), 68, 69, 71(1) Regulations: Sections: 6(1), 7(1), 7(2), 7(3), 8, 8.1	Sections: 8(2)(j), 8(2)(m), 10, 14, 15, 17(2)(b), 17(3)(b), 18(2), 19(1), 19(2), 20, 21, 22, 23, 24, 25, 26, 27, 28, 70 Regulations: Sections: 9, 11(2), 11(4), 13(1), 14
Senior Access to Information and Privacy Project Manager	Sections: 7(a), 8(1), 9, 11(2), 11(3), 11(4), 11(5), 11(6), 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27(1), 27(4), 28(1)(b), 28(2), 28(4), 68, 69, 71(1) Regulations: Sections: 6(1), 7(1), 7(2), 7(3), 8, 8.1	Sections: 8(2)(j), 8(2)(m), 10, 14, 15, 17(2)(b), 17(3)(b), 18(2), 19(1), 19(2), 20, 21, 22, 23, 24, 25, 26, 27, 28, 70 Regulations: Sections: 9, 11(2), 11(4), 13(1), 14
Senior Access to Information and Privacy Project Officer	Sections: 7(a), 8(1), 9, 11(2), 11(3), 11(4), 11(5), 11(6), 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27(1), 27(4), 28(1)(b), 28(2), 28(4), 68, 69, 71(1) Regulations: Sections: 6(1), 7(1), 7(2), 7(3), 8, 8.1	Sections: 8(2)(j), 8(2)(m), 10, 14, 15, 17(2)(b), 17(3)(b), 18(2), 19(1), 19(2), 20, 21, 22, 23, 24, 25, 26, 27, 28, 70 Regulations: Sections: 9, 11(2), 11(4), 13(1), 14

The original version was signed by
The Honourable Navdeep Bains
Minister of Innovation, Science and Economic Development
Dated, at the City of Ottawa
November 1, 2017

Appendix B: Statistical Report on the Privacy Act

Name of institution: Statistics Canada

Reporting period: 2017-04-01 to 2018-03-31

Part 1: Requests Under the Privacy Act

Requests Under the *Privacy Act*
	Number of Requests
Received during reporting period	157
Outstanding from previous reporting period	1
Total	158
Closed during reporting period	148
Carried over to next reporting period	10

Part 2: Requests Closed During the Reporting Period

2.1 Disposition and completion time

Disposition and completion time
Disposition of Requests	Completion Time
Disposition of Requests	1 to 15 Days	16 to 30 Days	31 to 60 Days	61 to 120 Days	121 to 180 Days	181 to 365 Days	More Than 365 Days	Total
All disclosed	11	8	11	0	0	0	0	30
Disclosed in part	1	22	45	0	0	0	0	68
All exempted	1	1	0	0	0	0	0	2
All excluded	0	0	0	0	0	0	0	0
No records exist	20	5	13	0	0	0	0	38
Request abandoned	10	0	0	0	0	0	0	10
Neither confirmed nor denied	0	0	0	0	0	0	0	0
Total	43	36	69	0	0	0	0	148

2.2 Exemptions

Exemptions
Section	Number of Requests
18(2)	0
19(1)(a)	0
19(1)(b)	0
19(1)(c)	0
19(1)(d)	0
19(1)(e)	0
19(1)(f)	0
20	0
21	0
22(1)(a)(i)	0
22(1)(a)(ii)	0
22(1)(a)(iii)	0
22(1)(b)	9
22(1)(c)	0
22(2)	0
22.1	0
22.2	0
22.3	0
23(a)	0
23(b)	0
24(a)	0
24(b)	0
25	0
26	55
27	1
28	0

2.3 Exclusions

Exclusions
Section	Number of Requests
69(1)(a)	0
69(1)(b)	0
69.1	0
70(1)	0
70(1)(a)	0
70(1)(b)	0
70(1)(c)	0
70(1)(d)	0
70(1)(e)	0
70(1)(f)	0
70.1	0

2.4 Format of information released

Format of information released
Disposition	Paper	Electronic
All disclosed	5	25
Disclosed in part	0	68
Total	5	93

2.5 Complexity

2.5.1 Relevant pages processed and disclosed

Relevant pages processed and disclosed
Disposition of Requests	Number of Pages Processed	Number of Pages Disclosed	Number of Requests
All disclosed	2470	2470	30
Disclosed in part	17746	8416	68
All exempted	0	0	2
All excluded	0	0	0
Request abandoned	0	0	10
Neither confirmed nor denied	0	0	0
Total	20216	10866	110

2.5.2 Relevant pages processed and disclosed by size of requests

Relevant pages processed and disclosed by size of requests
Disposition	Less Than 100 Pages Processed		101-500 Pages Processed		501-1000 Pages Processed		1001-5000 Pages Processed		More Than 5000 Pages Processed
Disposition	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed
All disclosed	24	658	3	304	3	1508	0	0	0	0
Disclosed in part	45	1579	18	2270	3	1540	2	3027	0	0
All exempted	2	0	0	0	0	0	0	0	0	0
All excluded	0	0	0	0	0	0	0	0	0	0
Request abandoned	10	0	0	0	0	0	0	0	0	0
Neither confirmed nor denied	0	0	0	0	0	0	0	0	0	0
Total	81	2237	21	2574	6	3048	2/td>	3027	0	0

2.5.3 Other complexities

Other complexities
Disposition	Consultation Required	Legal Advice Sought	Interwoven Information	Other	Total
All disclosed	0	0	0	0	0
Disclosed in part	0	0	0	0	0
All exempted	0	0	0	0	0
All excluded	0	0	0	0	0
Request abandoned	0	0	0	0	0
Neither confirmed nor denied	0	0	0	0	0
Total	0	0	0	0	0

2.6 Deemed refusals

2.6.1 Reasons for not meeting statutory deadline

Reasons for not meeting statutory deadline
Number of Requests Closed Past the Statutory Deadline	Principal Reason
Number of Requests Closed Past the Statutory Deadline	Workload	External Consultation	Internal Consultation	Other
0	0	0	0	0

2.6.2 Number of days past deadline

Number of days past deadline
Number of Days Past Deadline	Number of Requests Past Deadline Where No Extension Was Taken	Number of Requests Past Deadline Where An Extension Was Taken	Total
1 to 15 days	0	0	0
16 to 30 days	0	0	0
31 to 60 days	0	0	0
61 to 120 days	0	0	0
121 to 180 days	0	0	0
181 to 365 days	0	0	0
More than 365 days	0	0	0
Total	0	0	0

2.7 Requests for translation

Requests for translation
Translation Requests	Accepted	Refused	Total
English to French	0	0	0
French to English	0	0	0
Total	0	0	0

Part 3: Disclosures Under Subsections 8(2) and 8(5)

Disclosures Under Subsections 8(2) and 8(5)
	Paragraph 8(2)(e)	Paragraph 8(2)(m)	Subsection 8(5)	Total
Disclosures	0	0	0	0

Part 4: Requests for Correction of Personal Information and Notations

Requests for Correction of Personal Information and Notations
Disposition for Correction Requests Received	Number
Notations attached	0
Requests for correction accepted	0
Total	0

Part 5: Extensions

5.1 Reasons for extensions and disposition of requests

Reasons for extensions and disposition of requests
Disposition of Requests Where an Extension Was Taken	15(a)(i) Interference With Operations	15(a)(ii) Consultation		15(b) Translation or Conversion
Disposition of Requests Where an Extension Was Taken	15(a)(i) Interference With Operations	Section 70	Other	15(b) Translation or Conversion
All disclosed	11	0	0	0
Disclosed in part	45	0	0	0
All exempted	0	0	0	0
All excluded	0	0	0	0
No records exist	13	0	0	0
Request abandoned	0	0	0	0
Total	69	0	0	0

5.2 Length of extensions

Length of extensions
Length of Extensions	15(a)(i) Interference with operations	15(a)(ii) Consultation		15(b) Translation purposes
Length of Extensions	15(a)(i) Interference with operations	Section 70	Other	15(b) Translation purposes
1 to 15 days	0	0	0	0
16 to 30 days	69	0	0	0
Total	69	0	0	0

Part 6: Consultations Received From Other Institutions and Organizations

6.1 Consultations received from other Government of Canada institutions and other organizations

Consultations received from other Government of Canada institutions and other organizations
Consultations	Other Government of Canada Institutions	Number of Pages to Review
Received during the reporting period	3	25
Outstanding from the previous reporting period	0	0
Total	3	25
Closed during the reporting period	0	0
Pending at the end of the reporting period	0	0

6.2 Recommendations and completion time for consultations received from other Government of Canada institutions

Recommendations and completion time for consultations received from other Government of Canada institutions
Recommendation	Number of Days Required to Complete Consultation Requests
Recommendation	1 to 15 Days	16 to 30 Days	31 to 60 Days	61 to 120 Days	121 to 180 Days	181 to 365 Days	More Than 365 Days	Total
All disclosed	2	0	0	0	0	0	0	2
Disclosed in part	1	0	0	0	0	0	0	1
All exempted	0	0	0	0	0	0	0	0
All excluded	0	0	0	0	0	0	0	0
Consult other institution	0	0	0	0	0	0	0	0
Other	0	0	0	0	0	0	0	0
Total	3	0	0	0	0	0	0	3

6.3 Recommendations and completion time for consultations received from other organizations

Recommendations and completion time for consultations received from other organizations
Recommendation	Number of days required to complete consultation requests
Recommendation	1 to 15 Days	16 to 30 Days	31 to 60 Days	61 to 120 Days	121 to 180 Days	181 to 365 Days	More Than 365 Days	Total
All disclosed	0	0	0	0	0	0	0	0
Disclosed in part	0	0	0	0	0	0	0	0
All exempted	0	0	0	0	0	0	0	0
All excluded	0	0	0	0	0	0	0	0
Consult other institution	0	0	0	0	0	0	0	0
Other	0	0	0	0	0	0	0	0
Total	0	0	0	0	0	0	0	0

Part 7: Completion Time of Consultations on Cabinet Confidences

7.1 Requests with Legal Services

Requests with Legal Services
Number of Days	Fewer Than 100 Pages Processed		101-500 Pages Processed		501-1000 Pages Processed		1001-5000 Pages Processed		More than 5000 Pages Processed
Number of Days	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed
1 to 15	0	0	0	0	0	0	0	0	0	0
16 to 30	0	0	0	0	0	0	0	0	0	0
31 to 60	0	0	0	0	0	0	0	0	0	0
61 to 120	0	0	0	0	0	0	0	0	0	0
121 to 180	0	0	0	0	0	0	0	0	0	0
181 to 365	0	0	0	0	0	0	0	0	0	0
More than 365	0	0	0	0	0	0	0	0	0	0
Total	0	0	0	0	0	0	0	0	0	0

7.2 Requests with Privy Council Office

Requests with Privy Council Office
Number of Days	Fewer Than 100 Pages Processed		101‒500 Pages Processed		501-1000 Pages Processed		1001-5000 Pages Processed		More than 5000 Pages Processed
Number of Days	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed	Number of Requests	Pages Disclosed
1 to 15	0	0	0	0	0	0	0	0	0	0
16 to 30	0	0	0	0	0	0	0	0	0	0
31 to 60	0	0	0	0	0	0	0	0	0	0
61 to 120	0	0	0	0	0	0	0	0	0	0
121 to 180	0	0	0	0	0	0	0	0	0	0
181 to 365	0	0	0	0	0	0	0	0	0	0
More than 365	0	0	0	0	0	0	0	0	0	0
Total	0	0	0	0	0	0	0	0	0	0

Part 8: Complaints and Investigations Notices Received

Complaints and Investigations Notices Received
	Section 31	Section 33	Section 35	Court action	Total
Complaints and Investigations Notices Received	15	0	5	0	20

Part 9: Privacy Impact Assessments (PIAs)

Number of PIA(s) completed: 4

Part 10: Resources Related to the Privacy Act

10.1 Costs

Costs
Expenditures	Amount
Salaries	$258,979
Overtime	$0
Goods and Services	$2,642
Professional services contracts	($0)
Other	($2,642)
Total	$261,621

10.2 Human Resources

Human Resources
Resources	Person Years Dedicated to Privacy Activities
Full-time employees	2.64
Part-time and casual employees	0.00
Regional staff	0.00
Consultants and agency personnel	0.00
Students	0.00
Total	2.64

Appendix C: Microdata linkages

Approved record linkages containing personal information

Linkage of the Longitudinal Administrative Databank (LAD) with T776 Statement of Real Estate Rentals (009-2017)

Purpose: The objective of this research project is to provide an understanding of residential rental income trends in Canada.

The linked data will be used by the Canada Mortgage and Housing Corporation (CMHC) to create a portrait of rental revenues. They will use it to help understand the relationship between the physical location of the rental properties and the tax filers' address, as well as the relationship between total income, interest expenses and rental income overtime.

This information will be used by CMHC to better understand the relationship between rental income trends and differences in rising house prices across major urban centers, and to consider policy tools to keep home ownership within reach for more Canadians.

The resulting data will fill a data gap with high quality information while avoiding additional respondent burden.

Description: Statistics Canada's Longitudinal Administrative Databank (LAD) is a longitudinal linked filed comprising of a 20% sample of the annual T1 Family File (T1FF) and the Longitudinal Immigration Data Base (IMDB).

Data from the T776 Statement of Real Estate Rentals administrative data files from Canada Revenue Agency (CRA) will be linked to the LAD for all reference years 2000 to 2014. Rental income and expense variables from the T776 will be added to the LAD. Address information will be used to create non-confidential geography variables and then removed from the files.

Output: Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released to outside analysts. All manipulation of micro data will be done internally by Statistics Canada and tabulated results will be screened prior to release outside the Agency.

Access to the linked file will be available through Federal Research Data Centre where the output will be examined to ensure that it meets the confidentiality requirements prior to releasing the output to the researchers.

Foreign ownership of residential property – Sharing with other organizations (012-2017)

Purpose: In Budget 2016 the federal government announced $ 500,000 to Statistics Canada "to develop methods for gathering data on purchases of Canadian housing by foreign homebuyers". Statistics Canada received approval to conduct record linkages to assess the feasibility of carrying out this project using data already available at Statistics Canada. The objective of this application is to obtain permission to share results (aggregate and non-confidential) with Statistics Canada partners for this project, including Finance Canada, Canada Mortgage and Housing Corporation, and the Bank of Canada for their feedback and support in relation to the strategy proposed by Statistics Canada.

Description: Record linkages were done for all persons identified on the test files received by Statistics Canada. The methodology put in place made it possible to match these data with different files currently available at Statistics Canada, including census data and tax data.

Output: Record linkages provided results to assess the feasibility of developing a Housing Statistics Framework based on various data currently available at Statistics Canada. Only aggregate and non-confidential data will be shared with external partners.

Linkage of the Canadian Community Health Survey (CCHS) and National Population Health Survey (NPHS) to the New Brunswick Smoking Record Linkage Environment (NBSRLE) (016-2017)

Purpose: Statistics Canada has created a record linkage environment for the New Brunswick Tobacco Litigation Project called the New Brunswick Smoking Record Linkage Environment (NBSRLE). This environment will be used to link Statistics Canada survey data to New Brunswick administrative health data using established record linkage techniques.

The objective of this linkage is to build the Statistics Canada survey component of the New Brunswick Tobacco Litigation Project (NBSRLE). The Canadian Community Health Survey (CCHS) and the National Population Health Survey (NPHS) files will be linked to the NBSRLE Record Depository, the linkage keys will be stored in the NBSRLE Key Registry, and de-identified output files will be created for the RDC.

Description: The CCHS and NPHS who consented to link their survey results and who consented to share their survey response information with the provincial health ministry while residing in the province of New Brunswick will be included in the linkage to the NBSRLE Record Depository (RD). An anonymous NBSRLE identifier will be assigned to each respondent, and the resulting linkage keys will be stored in the NBSRLE Key Registry.

For analytical studies, the NBSRLE identifier will replace health administrative data identifiers and access to output files will require prior linkage approval from Statistics Canada's Executive Management Board.

Access to the NBSRLE Key Registry will be restricted to the Statistics Canada employees responsible for its development and maintenance and those responsible for the creation of linked analysis data files. The Key Registry will contain linkage keys to permit linkage for approved studies for this project.

Output: There are no linked analysis files created as part of this record linkage. The NBSRLE Record Depository and Key Registry will be used exclusively to support the development of research files for the New Brunswick Tobacco Project and no identifiable personal information will be released from the NBSRLE. Statistics Canada will retain the RD and Key Registry files until December 31, 2031.

Output files that contain the anonymous NBSRLE identifier and analysis variables for the CCHS, NPHS and New Brunswick administrative datasets previously linked to the NBSRLE (i.e., record linkage number 85-2016) will be placed in the RDCs identified by the litigants and the litigant's experts will have exclusive access to these files for a period of five years.

Research projects to access and link the NBSRLE output files in the RDC will be approved on a study-by-study basis. These may only be carried out as part of a research agenda initiated by the designated representatives (litigant experts) from the province of New Brunswick or the Defendants under contract with Statistics Canada. A summary of each approved study will be posted on the Statistics Canada web site.

Linkage of the 2016 Life After Service Survey with the 2016 Life After Service Survey sample file. (023-2017)

Purpose: The main objective of this data linkage is to add the Strata and Environment variables from the 2016 LASS sample file to the 2016 LASS survey data to allow analysis of survey indicators such as physical and mental health by military rank and environment (Air, Land, and Sea).

Description: The Strata and Environment variables from the 2016 LASS sample file will be added to the 2016 LASS survey data by linking the two files using the sample id. The addition of the Strata and Environment variables will help identify groups of veterans by rank and type of military personnel who are most vulnerable and have the most difficulty transitioning to civilian life.

Output: There will be two final micro data files (longitudinal and cross-sectional) containing the added variables from this data linkage. They will be available through the Research Data Centres without personal identifiers and only accessed by deemed employees of Statistics Canada. In addition, any data being removed from the Research Data Centres will be vetted to ensure that individuals cannot be identified.

Linkage of the British Columbia Medical Services Client Registry File and creation of the British Columbia Smoking Record Linkage Environment (BCSRLE) (024-2017)

Purpose: The province of British Columbia has commenced litigation against several tobacco companies in the Supreme Court of British Columbia pursuant to the Tobacco Damages and Health Care Costs Recovery Act, SBC 2000, c. 30. To provide some litigants with access to certain data for use in the litigation, Statistics Canada has signed an agreement concerning access to confidential personal information of residents of British Columbia with the province of British Columbia and Imperial Tobacco Canada, JTI-MacDonald Corp., B.A.T. Industries p.l.c., British American Tobacco (Investments) Limited, R.J. Reynolds Tobacco Company, and R.J. Reynolds Tobacco International Inc.

Statistics Canada will create a record linkage environment for the British Columbia Tobacco Project called the British Columbia Smoking Record Linkage Environment (BCSRLE). This environment will be used to link Statistics Canada survey data to British Columbia administrative health data using established record linkage techniques. The BCSRLE will enable Statistics Canada to provide access to linked and unlinked data within the Research Data Centers (RDC) to deemed employees of Statistics Canada, which will ensure the confidentiality of the personal information contained in the source data sets.

The purpose of this linkage is to build the BCSRLE. The British Columbia Medical Services Client Registry File will be loaded to the BCSRLE as the Record Depository (RD) and the Canadian Community Health Survey (CCHS) share-link files and six British Columbia administrative databases will be linked to that Depository. The record linkage keys will be retained separately in the BCSRLE Key Registry.

Statistics Canada has the responsibility for securely storing and processing data files and for the production of analysis files needed to carry out approved research studies. BCSRLE research projects will involve the use of linked records, and in accordance with Statistics Canada's Directive on Record Linkage, approval by the Chief Statistician will be required for each new linkage related to this project.

Description: The BCSRLE Record Depository will be created from the British Columbia Medical Services Client Registry File. The RD will be composed of the surnames, given names, date of birth, sex, address, personal health number, and resident id for health insurance card holders in British Columbia. Each individual in the RD will be assigned an anonymous BCSRLE identifier, which has no value outside of the BCSRLE.

Linkage of the RD to British Columbia health administrative databases and the CCHS share-link files will be performed in the BCSRLE. The CCHS respondents who consented to link their survey results and who consented to share their survey response information with the provincial health ministry while residing in the province of New Brunswick will be included in the linkage to the RD. An anonymous BCSRLE identifier will be assigned to each respondent, and the resulting linkage keys will be stored in the BCSRLE Key Registry.

To ensure a high level of data security and privacy, the association of Statistics Canada-generated identification numbers from the RD, CCHS Record Identifiers and the administrative database Record Identifiers will be stored in a separate BCSRLE Key Registry, thus avoiding the need to store health administrative data with personal identifiers.

For analytical studies, the BCSRLE Identifier will replace health administrative data identifiers and access to linkable files will require prior linkage approval from Statistics Canada's Executive Management Board.

Access to the BCSRLE Key Registry will be restricted to the Statistics Canada employees responsible for its development and maintenance and those responsible for the creation of linked analysis files. The Key Registry will contain linkage keys to permit linkage for approved studies for this project. The administrative files included as part of this linkage application are as follows:

British Columbia Medical Services Client Registry File
British Columbia Discharge Abstract Database
British Columbia Home and Community Care Minimum Reporting Requirements, including the British Columbia Continuing Care data
British Columbia Medical Services Plan Payment Information
British Columbia Pharmacare (Claims)
British Columbia Pharmacare (Dispensing)
British Columbia Registration and Premium Billing

Output: There are no linked analysis files created as part of this record linkage. The BCSRLE Record Depository and Key Registry will be used exclusively to support the development of research files for the British Columbia Tobacco Project and no identifiable personal information will be released from the BCSRLE. Statistics Canada will retain the RD and Key Registry files until no longer required, up to, December 31, 2032, at which time they will be destroyed.

Output files that contain the anonymous BCSRLE identifier and analysis variables for the CCHS share-link files and British Columbia administrative datasets linked to the BCSRLE will be placed in the RDC identified by the litigants.

Research projects to access and link the BCSRLE the output files will be approved on a study-by-study basis. These may only be carried out as part of a research agenda initiated by the designated representatives from the province of British Columbia or the Signing Defendants under contract with Statistics Canada. A summary of each approved study will be posted on the Statistics Canada web site.

Alberta Social Assistance Demonstration Project (026-2017)

Purpose: As part of ongoing consultation between Statistics Canada and the provinces and territories, a linked data file comprised of Alberta Social Assistance data and federal taxation- and employment-based administrative data will be created. The file will be used to examine the employment histories and tax filing behaviours of social assistance recipients in Alberta, thereby demonstrating how the analytical value of provincial data can be leverage through record linkage.

Description: The linked data file is comprised of individuals who were social assistance clients in Alberta in 2012, 2013 and/or 2014. Information on their socio-demographic characteristics and types and values of income supports received will be drawn from provincial data; information on their incidence of tax filing and use of tax credits will be drawn from the T1 Family File, T1 Personal Master File, T1 Historical File and Immigrant Landing File; and information on their employment histories in the years prior to receiving social assistance will be drawn from the T4 file, the Record of Employment file, and the Longitudinal Immigration Data file.

Social Insurance Numbers (SINs) will be transformed into unique identifiers that will remain on the linkable files to facilitate longitudinal analyses. All Business Numbers (BNs), Social Insurance Numbers (SINs) and personal identifiers will be removed from the analytical files and stored in a separate location accessible only to Statistics Canada employees whose job duties require them to access this information.

Output: Methodological and analytical findings resulting from these linked data will be used to prepare a PowerPoint deck for presentation and circulation at workshops and meetings.

Only aggregate statistics and analysis conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The linked data file will not be made available in the RDCs as it is only intended for demonstration purposes rather than broader analytical use.

Historical Data Linkage of the 2011 General Social Survey (GSS) and Tax Records. (052-2017)

Purpose: Data from the linkage of previous tax records to the 2011 GSS will allow analysis projects to examine the relationship between family transitions and socioeconomic well-being.

Product: Details on products planned to be released.

There are currently two research projects planned on the topic of socioeconomic well-being of women: Women's Family Trajectories and Economic Well-being a Gender Analysis of the Work-Family Interface in Canada. The results are to be released in a publication. Other projects could be examined from the linked database once it becomes available to Statistics Canada Research Data Centre network.

Creation of the Research Analysis Files Using the New Brunswick Smoking Record Linkage Environment (053-2017)

The purpose of this linkage is to build analytical research files from the linkable survey and administrative files placed in the RDC for the New Brunswick Tobacco Litigation Project.

Description: Personal identifiers were removed and a unique anonymous identifier was assigned to the administrative records for each person during the development of the linkable files (RL 085-2016) for this project. Common linking keys based on the identifiers have been created for the share-link CCHS and NPHS and de-identified linkable versions of the administrative files and the survey files were placed in the RDC environment (RL 016-2017).

This project is to create analysis files from the de-identified files to create the necessary statistical models and tables to be presented during the litigation processes. There are three areas of study proposed by this record linkage project. First, researchers will address the question of the comparability of smoking attributable fraction (SAF) estimates derived from the Public Use Microdata File of the CCHS/NPHS to estimates derived from the share-link file of the CCHS/NPHS. Second, this project seeks to extend the estimation model to additional aspects of health care utilization (i.e. beyond hospital and physician care) and to examine the comparability of SAFs derived from self-report versus 'administrative' measures of health care utilization. Third, this file may be used to substantiate or refute evidence presented during the litigation process.

Output: Linked analysis files, statistical models, tabulations, and other analytical products will be created as part of this record linkage. Output files will contain the anonymous NBSRLE identifier and analysis variables for the share-link CCHS, share-link NPHS and New Brunswick administrative datasets previously linked to the NBSRLE (record linkage number RL-085-2016) will be used in the RDCs identified by the Province of New Brunswick.

No identifiable personal information will be released from the NBSRLE.

End-of-life health care use for children with life-threatening conditions: A national population based study (054-2017)

Purpose: This linkage of the Canadian Vital Statistics Deaths database to the Discharge Abstract Database (DAD) and National Ambulatory Care Reporting System (NACRS) will be used to examine patterns of health care use over the last year of life in a national cohort of children aged 0 to 19 years old who died in Canada since 2008. The focus of the study is to examine hospital visits, both inpatient and outpatient, over the period up until death to qualify differences in care based on the characteristics of the patient. This would not be possible using existing individual databases.

This study will provide a better understanding of the intensity and types of care delivered and the location of death in respect to children. This information is valuable for provincial, territorial and federal stakeholders for informing policy and decision-making related to the provision of health care services for children.

Output: The linked datasets will be available to deemed employees to use in a Research Data Center (RDC). All data and analytical products to be released outside of Statistics Canada and the RDC will conform to the confidentiality provisions of the Statistics Act. These file will be retained in accordance with the Directive on the Management of Statistical Microdata Files.

Canadian Census Health and Environment Cohort (CanCHEC): linkage of the 2006 Census of Population to Mortality, Canadian Cancer Registry, Discharge Abstract Database, and annual place of residence. (055-2017)

Purpose: To create a large population-based dataset that will allow for the examination of mortality, cancer, hospitalizations, and environmental exposures by taking into account ethnocultural and socioeconomic factors (as measured on the census) and historical exposure (using annual place of residence to attach environmental exposures). In conjunction with previous census linked cohorts, these data files will provide clear and authoritative evidence on whether health inequalities are changing (increasing/decreasing) or remaining constant over time.

Longitudinal and International Study of Adults: Linkage to Personal Tax, Business Register, Pension Plans in Canada, T1 Family Files and Longitudinal Immigration Database for past and current Census family members of survey respondents. (059-2017)

Purpose: The Longitudinal and International Study of Adults (LISA) is a voluntary, multi-topic, longitudinal, socioeconomic survey of households collected every other year. The survey was designed to meet the key policy data needs of Employment and Social Development Canada (ESDC) in the domains of education and training, family health, income and employment. For most people these outcomes are determined in the broader family context, through intra-household decision-making, relationship formation and dissolution, and inter-generational transmission mechanisms. These channels will be better understood by linking LISA respondents with their past and current family members' income, employment and pension trajectories. Combining variables collected by the LISA with administrative family information will fill important gaps in existing Canadian data.

Canadians will benefit from research that can support them in making good choices and inform improvements in the government services provided to them. It will supply information on subjects of relevance to Canadians, such as the importance of different personal and financial insurance mechanisms in the face of partnership dissolution; the effect of parental outcomes on own income trajectory, in childhood but also possibly in adulthood; and the intergenerational transmission of income and wealth inequality. Finally, the linkage will complement the data collected by the survey, improving data quality and providing a long panel suitable for complex analyses, while minimizing response burden and respondent fatigue.

Output: The output of the linkage will be a linked analysis file containing the LISA-linked family members, as well as files containing past and current tax, employer and pension plan data. Only aggregate statistics and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Access to the linking keys and files containing personal identifiers will be restricted to Statistics Canada employees whose assigned work activities require such access. These files will be retained until they are no longer required for the processing of the LISA survey, at which time they will be destroyed. The linked analysis file will be retained until no longer required in accordance with the Directive on the Management of Statistical Microdata Files.

The availability of the linked analysis file will be announced in The Daily. The analysis file will be made available to Statistics Canada researchers, and to deemed employees at the Statistics Canada Research Data Centres. Research reports will be generated on topics such as family welfare, the financial security of seniors, and the economic outcomes of workers with varying educational and skill levels.

Linkage of the Canadian Cancer Registry (CCR) to obtain death information. (061-2017)

Purpose: The purpose of the linkage is to add death information to the Canadian Cancer Registry (CCR) with the aim to broaden the analytical use of the file by facilitating epidemiological research on cause of death and to permit the calculation of survival and prevalence rates. The linked file will also improve the completeness of the registry since not all deaths with an underlying cause of cancer (e.g., those found at the time of death) may be included on the CCR but could be found on death records.

Output: Statistics Canada will create a de-identified linked analytical file that will include the CCR variables and selected analytical variables from the CVSD and date of death from the T1PMF. It will not include any personal identifiers. The analytical file will be available to deemed employees to use in a Research Data Center (RDC) and to share partners that have the necessary agreements in place. In addition, a separate file that includes select identifiers will be created and provided to the Provincial and Territorial Cancer Registrars to update their patient registries. This file with identifiers will only contain data for which written approval to disclose has been obtained. Statistics Canada will also use the analytical file to create CANSIM tables and cancer indicators, including cancer survival and prevalence rates, as well as be used for other research and analytical products.

Bail and Remand in Ontario: Linking Ontario bail and remand data with Census (2006) data. (063-2017)

Purpose: The purpose of this project is to build the capacity for evidence-based structured data surrounding remand and bail in the province of Ontario. This work is being conducted for the Ministry of Community Safety and Correctional Services to assist them in identifying current and critical issues, assess program integrity and derive well-informed and measureable solutions to remand/bail in the province, while at the same time, maintaining their overarching mandate to both protect and enhance public safety, and to strike an appropriate balance between the rights of individuals and the rights of the community at large.

The data generated by the project will assist the Ministry of Community Safety and Correctional Services in identifying a set of concrete recommendations for province-wide efficient improvements to the criminal justice system. These improvements are aimed at reducing systemic issues and unnecessary time involving remand, police detention, and court processes; developing effective community alternatives to police detention, court reviews, and remand; and, reducing the rate of new charges and breaches while accused are awaiting trial in the community, while at the safe time ensuring the public safety of Ontario's communities.

Output: An analytical report, to be prepared by the Ministry of Community Safety and Correctional Services (MCSCS) in collaboration with Statistics Canada, will be disseminated by the MCSCS.

Tax filing patterns of Canada's overall population and subpopulations over the 2010-2015 period, using the 2011 National Household Survey (NHS) and personal income tax records. (065-2017)

Purpose: The purpose of this record linkage is to create a portrait of tax filing patterns, using linkage rates as a proxy, over 2010-2015 for Canada's populations and subpopulations, including the on- and off-reserve populations and the populations identifying as Aboriginal and non-Aboriginal.

Canada Revenue Agency (CRA) and Employment and Social Development Canada (ESDC) will use the non-confidential aggregate estimates to better understand the characteristics of persons with low filing incidence. This information will be used for program improvements such as targeted outreach to increase the uptake of benefits like the Canada Child Benefit.

This analysis will benefit Canadians by informing the development of program improvements aimed at increasing the number of recipients of benefits programs.

Output: Only non-confidential aggregated data estimates, which conform to the confidentiality provisions of the Statistics Act, will be released outside of Statistics Canada. Confidentiality rules for NHS and Census would also be applied to all products before release.

Multimorbidity and material and social deprivation among high users of in-hospital health care services. (066-2017)

Purpose: The purpose of this project is to create a linked dataset that will allow researchers to analyze the socio-economic and health characteristics of high users of in-hospital health care services as compared to a control cohort drawn from the general population of in-hospital health care service users. To accomplish this the Discharge Abstract Database (DAD) will be linked, within the social data linkage environment (SDLE), to various administrative and survey databases, including the 2006 Census long form, the 2011 Census, the 2011 National Household Survey, theT1 Family File (T1FF), the Ontario Mental Health Reporting System (OMHRS), and the National Ambulatory Care Reporting System (NACRS).

This linkage will provide health care providers and stakeholders with information that will help inform policy and decision-making regarding the provision of services to high users of in-hospital services. It will also provide the public and health care providers with information that will foster a better understanding of the socio-economic and health characteristics affecting this group of high users. This information can be used to support the development and implementation of evidence based interventions for this population.

Output: The linked data file will be available to deemed employees of Statistics Canada within the Research Data Centres (RDC). All data and analytical products to be released outside of Statistics Canada and the RDC will conform to the confidentiality provisions of the Statistics Act. The linked file will be retained in accordance with the Directive on the Management of Statistical Microdata Files.

Administrative Personal Income Masterfile (APIM)/Fichier administratif principal du revenu personnel (FAPRP). (067-2017)

Purpose: The purpose of this project is to create the Administrative Personal Income Masterfile (APIM), a comprehensive individual annual income database that is created using administrative files obtained from Canada Revenue Agency (CRA). The file will be created annually, in a centralized fashion, for use by Statistics Canada programs that produce income estimates. The use of this file will ensure coherent income concepts across Statistics Canada and reduce response burden for Statistics Canada respondents.

Description: The Administrative Personal Income Masterfile (APIM) combines Canada Revenue Agency's (CRA) information available through different data sources using auxiliary files produced within Statistics Canada.

The APIM contains general income information such as total income as well as detailed income components that were traditionally collected through questionnaires. Even though most of the components are directly sourced from CRA's files, some non-taxable income components such as provincial senior supplements and provincial tax credits are not available through CRA's files and are imputed using information for the respective rules and regulations.

The APIM is an ongoing project and will first be released for 2014 income data. Income data for prior and following years will be available subsequently.

Output: An annual cross-sectional database containing income information for all persons that can be found within the administrative files obtained from Canada Revenue Agency (CRA).

Only non-confidential aggregated data and analytical products, which conform to the confidentiality provisions of the Statistics Act and Privacy Act, will be released outside of Statistics Canada.

Linkage of socioeconomic and treatment data to the Canadian Cancer Registry. (068-2017)

Purpose: The Canadian Cancer Registry (CCR) will be linked to the Discharge Abstract Database (DAD), the National Ambulatory Care Reporting System (NACRS), the Canadian Vital Statistics Death database (CVSD), the T1 Family File (T1FF), the Longitudinal Immigration Database (IMDB) and the 2016 Census long from. This linkage will support research on the relationship between cancer diagnoses, surgical treatment(s), and socioeconomic factors which is not currently possible using a single dataset. The information will help support policy and decision-making for the various stakeholders involved in the delivery of cancer care in Canada.

Output: The linked data will be available to deemed employees to use in a Research Data Center (RDC). All data and analytical products to be released outside of Statistics Canada will conform to the confidentiality provisions of the Statistics Act. The linked data and linkage keys will be retained by Statistics Canada in accordance with the Directive on the Management of Statistical Microdata Files.

Development of the Employment Insurance Status Vector (EISV) microdata for longitudinal analysis (069-2017)

Purpose: The purpose of this microdata record linkage request is to obtain authorization (a) to include an anonymous person identifier variable in the Employment Insurance Status Vector administrative data, and (b) for researchers to use the anonymous person identifier variable to construct longitudinal histories for EI claimants/recipients.

Statistical analyses of longitudinal histories of EI claimants/recipients will fill an important knowledge gap regarding the frequency and duration of use of regular, maternity, parental and other special EI benefits over the last 20 years. An improved understanding of the subpopulations at risk of EI benefit recidivism could assist in the development of programs and policies to improve labour market attachment for these workers.

Output: Authorized Statistics Canada employees may use the EISV microdata for research purposes, and the results may be published by Statistics Canada or other approved organizations.

Within the RDCs, each research team authorized to use the EISV microdata will be required to produce specific statistical output, under the terms of the microdata research contract. Results from projects conducted in the RDCs are usually presented at academic conferences and/or published in academic journals, theses and dissertations.

No portion of the EISV microdata will be disseminated outside of Statistics Canada premises, including the RDCs. Results from statistical analyses of the EISV microdata will be vetted prior to dissemination to ensure that they meet minimum requirements for preserving EI claimant/recipient confidentiality.

Linking the Longitudinal Survey of Immigrants to Canada (LSIC) and the Longitudinal Immigrant Database (IMDB) (070-2017)

Purpose: Extend the relevance of the LSIC by adding latest administrative information on economic outcomes of respondents. The IMDB-LSIC linkage will provide long-term longitudinal follow-up without any sort of respondent burden. Additional detailed economic outcomes will increase the analytical capacity of the original survey.

Output: This record linkage will conform to Statistics Canada's policies and standards. Only non-confidential analysis that will not result in the identification of an individual will be released outside of Statistics Canada. Dissemination guidelines will be applied to output to ensure the confidentiality rules are respected. In accordance with the Directive on the Management of Statistical Microdata Files, the analysis file will be retained until no longer required, at which time it will be destroyed.

A comparative and longitudinal study of socioeconomic and health outcomes for Canadian Veterans and non-Veterans (071-2017)

Purpose: The purpose of this linkage is to conduct a longitudinal, comparative analysis of Canadian Armed Forces Veterans and civilians to determine how military service influences socioeconomic and health outcomes for these populations.

Output: An analytical report, intended for publication in one of Statistics Canada's publications, will be generated.

Canadian Census Health and Environment Cohorts (CanCHEC): linkages of the 2011 and 2016 Censuses of Population and 2011 National Household Survey to Mortality, Cancer, Hospital Administrative Files, and T1 Family File (072-2017)

Purpose: To create two large population-based datasets that will allow for the examination of mortality, cancer, and hospitalizations, and environmental exposures by taking into account ethnocultural and socioeconomic factors (as measured on the census and T1 files) and historical exposure (using annual place of residence to attach environmental exposures). In conjunction with previous census linked cohorts, these data files will provide clear and authoritative evidence on whether health inequalities are changing (increasing/decreasing) or remaining constant over time.

Output: All access to the linked microdata file will be restricted to Statistics Canada personnel (including Statistics Canada deemed employees) whose work activities require access. Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Specifically, output will follow previously approved census linked confidentiality rules and guidelines and other vetting rules specific to the 2011 and 2016 Censuses and 2011 National Household Survey and other datasets used in this linkage. Access will be granted following standard RDC approval processes and procedures. Major findings will be used to create research papers for publication in peer-reviewed journals and presentations at workshops and conferences. Analytical datasets will be placed in the Research Data Centres (RDCs) and respect data access guidelines (e.g. exclusion of variables) currently in effect for the source datasets (e.g. census, vital statistics, tax files etc).

The impact of proposed government taxation on income sprinkling on corporation owners and their family members (075-2017)

Purpose: By linking the Longitudinal Administrative Data (LAD), T1 family files (T1FF), T2 corporation tax files as well as T4 employment remuneration files and T5 partnership tax files, between 2012 and 2014, this study will examine:

The current states of income sprinkling between CCPC owners and their family members.
The impact of proposed CCPC taxation on government tax revenue.
The distribution of characteristics for CCPC owners and their family members who are likely affected by the proposed taxation

Output: This record linkage will conform to Statistics Canada's policies and standards and business identifiers will be removed from the analysis file once linkage is complete. Under the Directive on the Use of Deemed Employees, external researchers can access the analysis file in the Canadian Centre for Data Development and Economic Research, at Statistics Canada's headquarter. Only non-confidential analysis that will not result in the identification of an individual, business or organization will be released outside of Statistics Canada. In accordance with the Directive on the Management of Statistical Microdata Files, the analysis file will be retained until no longer required, at which time it will be destroyed.

Linkage of the Employment Insurance Status Vector (EISV) microdata with the Labour Force Survey (LFS). (081-2017)

The purpose of the project is to link the Employment Insurance Status Vector data with the Labour Force Survey within the Social Data Linkage environment to: 1) assess whether the two datasets have a sufficient population that overlaps, knowing that both datasets have relatively large populations and that they both have data on the unemployed and their characteristics; 2) give insight into the usefulness of linking the two datasets to examine the impact of the EI program and its changes on labour supply behaviours as a mean to evaluate the program, provide evidence for policy development, and assess the feasibility of replacing part of the content of the EI Coverage Survey with administrative data.

The assessment results of the linkage will be shared with Employment and Social Development Canada (ESDC). There will be no dissemination of research findings during the first phase of the project. However, should the linkage results be significant, the linked files will be made available in all RDCs for other research projects.

Canadian Housing Statistics Program (CHSP) (082-2017)

Purpose: In 2017, Statistics Canada was mandated to develop a comprehensive housing database that integrates social, economic and financial information to produce official housing statistics. The Property Register (PR) will provide up-to-date data on the stock (number of properties) and the flows (purchases and sales) of housing, and deliver comprehensive data and statistics to provide policy makers with valuable information to monitor and analyze the Canadian housing market.

Output: The first release is scheduled for December 19th, 2017 for Toronto Census Metropolitan Area (CMA) and Vancouver CMA. The current plan is to have quarterly releases. Other CMAs and provincial level will be released beginning in 2018.

The first release will include statistical information on the following variables/concepts:

Residential property type
Residential assessment value
Residency status
Living area
Period of construction
Condominium status
Number of owners

Additional variables will be added beginning in 2018.

In cases where the data custodian outlines specific terms and conditions for access use, dissemination and/or retention/deletion of the data files that differ from those stated above (source files, analytical files or Research Data Centre files), the data custodian's terms and retention periods will be applied.

Social Insurance Number (SIN) linkage and tax-filing rates for families with children using the 2016 Census and linkage to the SIN registry (083-2017)

Purpose: The purpose is to obtain information for Employment and Social Development Canada (ESDC) on possible barriers to families receiving the Canada Learning Bond (CLB) and the Canada Education Savings Grant (CESG). In order to receive these grants, parents must have a SIN for their child and they must file taxes. This project will provide non-confidential aggregate statistics on the percentage of children who have a SIN, the percentage of parents who file taxes, and the characteristics of the families who do not have these and therefore do not receive the grants. ESDC will use this information for program improvements such as targeted outreach to encourage families to file taxes and get SINs for their children, and to increase the uptake of the CLB and CESG.

Output: Only non-confidential aggregated tables, conforming to the confidentiality provisions of the Statistics Act, will be released outside of Statistics Canada.

Use of pre-existing linkages and linkage between these pre-existing linkages for analysis, data quality evaluation, projections and publication (085-2017)

Purpose: The purpose of this request is, first, to seek authorization to use pre-existing linkages (i.e., linkages between the following files: (1) the 2011 Census/National Household Survey, the 2016 Census, T1 Family Files, the Immigrant Landing File, the 2011 Indian Register, etc. (see the files included in linkage request #085-2015); (2) the 2006 Census and the 2011 Census/National Household Survey; (3) the 2012 Aboriginal Peoples Survey and the 2011 Census/National Household Survey; (4) the 2017 Aboriginal Peoples Survey and the 2016 Census; and, (5) the 2011 Indian Register and the 2011 Census/National Household Survey) as well as the linkage of these linkages for analysis purposes (1) as part of the Demosim project to produce parameters in order to develop plausible population projection scenarios for various groups of the Canadian population, (2) to assess the quality of the linkages used to prepare the Canadian Statistical Demographic Database (CSDD) as well as its content, (3) as part of projects aimed at gaining a better understanding of Aboriginal and immigrant populations, and (4) for all projects that require use of these data sources, whether or not they are defined in the appendix to this document.

Second, this request seeks authorization to document the analyses and to publish this documentation either as a technical document or as scientific papers (publications to be determined). This authorization request covers the projects listed in the appendix to this document as well as other projects (undefined at this time) that might require these data sources.

Output: Under the Demosim project, the data produced would be used to prepare projection assumptions and parameters. The data used in preparing these assumptions and parameters, produced at an aggregate level, would be released, along with the methods used to produce them, in the form of technical documentation and/or scientific articles.

The results of the analyses that could be conducted (whether defined at this time or not) may also be published in the form of reports, analytical articles or presentations.

In every case, the data would only be disseminated in their aggregate form, in accordance with the confidentiality provisions of the Statistics Act. The linked files will be stored in a secure directory on one of the Demography Division servers. Only employees whose work requires it will have access to this directory for the entire life of the files.

Characteristics of repeated contact with the Nova Scotia criminal justice system: Linking Nova Scotia re-contact data with income, health and immigration data. (002-2018)

Purpose: Repeat contact or re-contact with the justice system has been identified as a key justice priority by Deputy Ministers responsible for Justice and Public Safety as well as other policy makers and justice administrators. Until recently, the lack of information on the nature and extent of repeat contact with, and pathways through, the justice system represented one of the more conspicuous gaps in our understanding of crime in Canada.

In an effort to address this data gap, the Canadian Centre for Justice Statistics (CCJS), in cooperation with representatives of the National Justice Statistics Initiative (NJSI), undertook a project aimed at the creation and ongoing delivery of high-quality indicators of re-contact with the justice system. Whereas a contact is defined as an official intervention by police, courts, or corrections, a re-contact is defined as a subsequent contact with the police, courts, or corrections signifying a new, official intervention.

The purpose of the project is to establish baseline information about individuals who have had contact with the Nova Scotia Justice system. This data will then be used to generate additional information about their involvement with Nova Scotia's other social services, namely education, health and those in other social sectors.

Output: Only non-confidential aggregate statistics and analyses that will not result in the identification of an individual person, business or organization will be released outside of Statistics Canada. High-level findings may be reported in the form of presentations to various NJSI partners.

Survey of Maintenance Enforcement Programs (SMEP) linked to the T1 Family File (T1FF) (003-2018)

Purpose: The Survey of Maintenance Enforcement Programs will be linked to the T1 Family File. This linkage will allow researchers to understand the income, demographic and socio-economic characteristics of recipients, payors and beneficiaries of child and spousal support and allow for an understanding of the socio-economic situations of child and spousal support payors, recipients and beneficiaries. This information will support the development, enhancement and evaluation of policies, programs and procedures.

Linkage of the Saskatchewan Legal Aid Client Registry to income, justice and socio-demographic data. (004-2018)

Purpose: The Saskatchewan Legal Aid Client Registry will be linked to the 2011 Census, 2011 National Household Survey (NHS), the 2016 Census, the T1 Family File (T1FF) and the Integrated Criminal Court Survey (ICCS) in order to develop an overview of the socio-demographic profile of individuals who did or did not receive legal representation, as well as the impact of legal aid within criminal court proceedings for legal aid policy and program development.

Outputs: All access to the linked microdata file will be restricted to Statistics Canada personnel (including Statistics Canada deemed employees) whose work activities require access. Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Findings will be used in research reports and in presentations to various groups.

Estimating the uptake rate of the Canada Child Benefit (CCB) using the Census and Child Tax Benefit (CTB) files (005-2018)

Purpose: The purpose of this linkage project is to estimate the 2016 uptake rate of the Canada Child Benefit (CCB) among key populations in Canada. To do this, this project will link administrative CCB program data on CCB payments to families in the 2016 Census.

Employment and Social Development Canada (ESDC) and the Canada Revenue Agency (CRA) will use non-confidential aggregate statistics to better understand differences in CCB uptake rates across geographies and populations. This information will be used for program improvements such as targeted outreach to increase the uptake of the CCB.

Output: Only non-confidential aggregated tables, conforming to the confidentiality provisions of the Statistics Act, will be released outside of Statistics Canada.

Estimating labour market indicators on reserves using the Census programs and administrative data (006-2018)

Purpose: The objective of this program is to fill a data gap in labour market information for the population living on reserve by calculating labour market indicators pertinent to the development of labour market policies and programs.

The linkage between the Census programs, the Longitudinal Workers File, the T4 Files and the T1 Family Files will be used to calculate yearly labour market indicators for those living on reserve as well as those living in adjacent communities. The linkage will also be used to perform research on specific issues related to labour market indicators.

Employment and Social Development Canada (ESDC) will use the non-confidential labour market estimates as well as the research results to develop labour market policies regarding Aboriginal persons and persons living on reserves.

Output: Only non-confidential aggregated data estimates, which conform to the confidentiality provisions of the Statistics Act, will be released outside of Statistics Canada.

Annual Report Privacy 2017/2018

Table of contents

Introduction

Administration of the Privacy Act

Organization and mandate of Statistics Canada

Delegation instrument

Resources

Statistical report

Implementation: Privacy

Privacy requests

Other requests

Disposition of completed requests

Completion time and extensions

Exemptions invoked

Costs

Training initiatives for privacy

Policies, guidelines and procedures

Complaints and investigations

Monitoring of the requests

Privacy breaches

Privacy impact assessments

Electronic Request Approval (ERA) - Travel

HR Analytics Dashboard

GCdocs

Supplement: Credit Data

Microdata linkage

Types of disclosure under subsection 8(2) of the Privacy Act

Appendix A

Access to Information and Privacy Acts Delegation Order

Schedule

Appendix B: Statistical Report on the Privacy Act

Part 1: Requests Under the Privacy Act

Part 2: Requests Closed During the Reporting Period

2.1 Disposition and completion time

2.2 Exemptions

2.3 Exclusions

2.4 Format of information released

2.5 Complexity

2.5.1 Relevant pages processed and disclosed

2.5.2 Relevant pages processed and disclosed by size of requests

2.5.3 Other complexities

2.6 Deemed refusals

2.6.1 Reasons for not meeting statutory deadline

2.6.2 Number of days past deadline

2.7 Requests for translation

Part 3: Disclosures Under Subsections 8(2) and 8(5)

Part 4: Requests for Correction of Personal Information and Notations

Part 5: Extensions

5.1 Reasons for extensions and disposition of requests

5.2 Length of extensions

Part 6: Consultations Received From Other Institutions and Organizations

6.1 Consultations received from other Government of Canada institutions and other organizations

6.2 Recommendations and completion time for consultations received from other Government of Canada institutions

6.3 Recommendations and completion time for consultations received from other organizations

Part 7: Completion Time of Consultations on Cabinet Confidences

7.1 Requests with Legal Services

7.2 Requests with Privy Council Office

Part 8: Complaints and Investigations Notices Received

Part 9: Privacy Impact Assessments (PIAs)

Part 10: Resources Related to the Privacy Act

10.1 Costs

10.2 Human Resources

Appendix C: Microdata linkages

Linkage of the Longitudinal Administrative Databank (LAD) with T776 Statement of Real Estate Rentals (009-2017)

Foreign ownership of residential property – Sharing with other organizations (012-2017)

Linkage of the Canadian Community Health Survey (CCHS) and National Population Health Survey (NPHS) to the New Brunswick Smoking Record Linkage Environment (NBSRLE) (016-2017)

Linkage of the 2016 Life After Service Survey with the 2016 Life After Service Survey sample file. (023-2017)

Linkage of the British Columbia Medical Services Client Registry File and creation of the British Columbia Smoking Record Linkage Environment (BCSRLE) (024-2017)

Alberta Social Assistance Demonstration Project (026-2017)

Historical Data Linkage of the 2011 General Social Survey (GSS) and Tax Records. (052-2017)

Creation of the Research Analysis Files Using the New Brunswick Smoking Record Linkage Environment (053-2017)

End-of-life health care use for children with life-threatening conditions: A national population based study (054-2017)

Canadian Census Health and Environment Cohort (CanCHEC): linkage of the 2006 Census of Population to Mortality, Canadian Cancer Registry, Discharge Abstract Database, and annual place of residence. (055-2017)

Longitudinal and International Study of Adults: Linkage to Personal Tax, Business Register, Pension Plans in Canada, T1 Family Files and Longitudinal Immigration Database for past and current Census family members of survey respondents. (059-2017)

Linkage of the Canadian Cancer Registry (CCR) to obtain death information. (061-2017)

Bail and Remand in Ontario: Linking Ontario bail and remand data with Census (2006) data. (063-2017)

Tax filing patterns of Canada's overall population and subpopulations over the 2010-2015 period, using the 2011 National Household Survey (NHS) and personal income tax records. (065-2017)

Multimorbidity and material and social deprivation among high users of in-hospital health care services. (066-2017)

Administrative Personal Income Masterfile (APIM)/Fichier administratif principal du revenu personnel (FAPRP). (067-2017)

Linkage of socioeconomic and treatment data to the Canadian Cancer Registry. (068-2017)

Annual Report
Privacy 2017/2018