StatCan WxT | Collaborative open source project led by the Government of Canada

2019 submissions

Distributions of household economic accounts (DHEA) (001-2019)

Purpose: DHEA provides household distributional statistics of income, consumption, savings and wealth based on national accounts estimates. Information on disparities among households that is consistent with macroeconomic indicators enriches the understanding of economic developments and allows for a more complete assessment of the risks associated with, for example, rising inequality of income, consumption, savings and wealth.

Output: DHEA is released annually, providing distributions by income quintile, by age group, by province/territory and by household type. Additional distributions will be made available to users as new source data is exploited and the estimates are developed.

Evaluating the Information Content in the Business Outlook Survey (002-2019)

Purpose: To evaluate the information content in the Bank of Canada's Business Outlook Survey. This will be achieved by linking data of all firms in the Bank of Canada's Business Outlook Survey (BOS) to Statistics Canada's Business Registry and administrative firm data sources (specifically the National Accounts Longitudinal Microdata File) over the period 2000-2017. The goal of this project is to compare the information content of the BOS to Statistics Canada administrative data sources and how administrative data can complement the survey.

Output: Security measures for the linking keys, identifiers and linked analysis file will conform to Statistics Canada's policies and standards. The linkage will be performed at Statistics Canada by Statistics Canada staff, and the link files will be kept in a secure, password-protected server. Access to direct identifiers and linked files will be restricted to Statistics Canada staff whose assigned work duties require such access. All direct business identifiers will be removed from the analysis file once linkage is complete. External researchers can only access the linked data in the Canadian Centre for Data Development and Economic Research, on Statistics Canada premises, and under the Directive on the Use of Deemed Employees. The linked file will be retained in accordance with the Directive on the Management of Statistical Microdata Files, until no longer required, at which time it will be destroyed.

The impact of Intellectual Property on the Canadian Economy (003-2019)

Purpose: The purpose of the project is to examine the role individuals play in the generation of intellectual property, in the leveraging of that intellectual property to drive firm performance, and in the diffusion of the skills for innovation across the economy. The project will inform the Government of Canada's Innovation and Skills Plan and Intellectual Property Strategy, particularly in the areas of skills development, the diffusion of knowledge, and intellectual property awareness among individuals from various socio-economic backgrounds.

Output: Security measures for the linking keys, identifiers and linked analysis file will conform to Statistics Canada's policies and standards. All direct business and individual identifiers will be removed from the analysis file once linkage is complete. External researchers can only access the linked analysis file in the Canadian Centre for Data Development and Economic Research, on Statistics Canada premises, and under the Directive on the Use of Deemed Employees. The linked file will be retained in accordance with the Directive on the Management of Statistical Microdata Files, until no longer required, at which time it will be destroyed.

LASS 2016 to Census 2016, Census 2011 and NHS 2011 Linkage (004-2019)

Purpose: The resulting data from this microdata linkage will be used by the Canadian Mortgage and Housing Corporation to better understand the housing, dwelling and other complementary characteristics of a cohort of Canadian veterans, who have been identified as an at-risk population in the latest national housing strategy.

Output: The resulting aggregated data will be disseminated in a tabular format. Only non-confidential aggregated statistics and analytical output that conform to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act will be released outside of Statistics Canada.

Linkage of the National Dose Registry to cancer and mortality outcomes, an update (005-2019)

Purpose: The purpose of this project is to the update the linkage of the National Dose Registry to the Canadian Cancer Registry (CCR) and the Canadian Vital Statistics Death (CVSD) database with the aim to continue to assess long-term health effects that may be related to occupational exposure to radiation. Occupational health and safety legislation establishes thresholds for occupational exposure, as well as workplace and personal protective measures, in order to minimize the hazards related for those whose work includes exposure to radiation. The effects of occupational exposure to radiation are not always apparent in the short term and may take several years to manifest themselves. As such, it is important that epidemiological studies are performed to help establish any long term health effects that may be linked to radiation exposure.

Outputs: The linked de-identified data will be available to deemed employees of Health Canada within the Federal Research Data Centre (FRDC) and to other researchers within the Research Data Centers (RDC). Results of the study will serve to better inform the general public on cancer and mortality outcomes related to occupational exposure to radiation and will provide policymakers, employers and employees with information that may be used to guide health and safety legislation or workplace practices relating to occupational radiation exposure.

Municipal Wastewater Systems in Canada (MWSC): Environment and Climate Change Canada (ECCC) Effluent Regulatory Reporting Information System (ERRIS) linkage to Census Data (006-2019)

Purpose: The main objective of this project is to assign a population served value to records of wastewater (sewage) systems reported to Environment and Climate Change Canada (ECCC) via the Effluent Regulatory Reporting Information System (ERRIS), as required under the Wastewater Systems Effluent Regulation (WSER). The linkage will be on-going.

Output: The record linkage of census and WSER data is necessary to produce tables of population serviced by public wastewater (sewage) systems. These new tables will facilitate Canada's reporting obligations to the Organization for Economic Cooperative Development (OECD) and support new indicators for the Canadian Environmental Sustainability Indicators (CESI).

Adding Gender to the Corporations Returns Act (CRA) database (007-2019)

Purpose: The Corporations Returns Act (CRA) program was identified as a potential source of information regarding gender diversity on corporate boards. Although the CRA does compile information on board governance and control, it does not collect information on the gender profile of the directors. The results of a record linkage between the CRA data and the Social Data Linkage Environment (SDLE) combined with imputation methods permit the integration of a sex field onto the CRA database. Statistics on the composition of corporate boards and more specifically on women having a governance role on boards of directors can then be produced. While information of this nature is produced by the private sector, their observations focus on boards of publicly traded corporations. The CRA provides information on board composition of public, private and government businesses. The CRA data compiles this detailed information at the enterprise level but also at the legal entity level. This provides further insight into the overall gender distribution of governance roles within the entire corporate structure and not solely from the top executive board of the enterprise. This initiative is aligned with the priorities of the Government regarding a diverse and inclusive Canada and also contribute to the Sustainable Development Goals (SDG) as part of achieving gender equality.

Output: Only aggregate statistical outputs and analyses will be released, subject to the confidentiality provisions of the Statistics Act. Disclosure control rules will be applied in order to safeguard the privacy of individual Canadians' personal information. Data validation processes will be established in order to ensure the accuracy of all disseminated materials, including tabulations and analytical products.

Between and within-firm earnings inequality in Canada (008-2019)

Purpose: This paper will combine business data with data on individual earnings to study trends in earnings inequality from 1998 to 2017. This study will investigate earnings at the individual as well as the firm level to determine the extent to which overall inequality levels are driven by earnings disparities between different firms and within firms.

Output: All access to the linked microdata file will be restricted to Statistics Canada personnel 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 papers and in presentations at workshops and conferences.

Indian Register linked to tax data, (Longitudinal Indian Register Database (LIRD)) (009-2019)

Purpose: By combining the Indian Register (IR) with annual tax data, this database would allow First Nations governments and organizations, analysts, and government departments to better understand the income trends of the Registered Indian population, as well as the impact of various policies. Due to its longitudinal design, this database is able to provide economic indicators over time, accompanied by various socio-demographic characteristics that add depth and nuance to analyses. Specific cohorts can be followed and the effects of policies or programs can be more accurately measured. Since this database combines administrative data sources, response burden is reduced compared to a survey with similar content. Furthermore, administrative databases, such as this one, are not affected by sample size limitations and are able to produce reliable estimates at a detailed level.

While the database is being developed and tested, and its analytical potential is being explored, preliminary statistical outputs will be shared for discussion and engagement purposes only. During this feasibility phase, outputs will be released to Indigenous Services Canada (ISC) / Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC), as well as to First Nations Governments, communities, and organizations, either on request or as part of planned engagement activities. Subsequent broader release of finalized statistical outputs will be considered in collaboration with stakeholders.

2016 Census of Population linkage to income tax files and benefits records to monitor tax filing behaviour and take-up rate of various benefit programs (011-2019)

Purpose: The purpose of this linkage is to obtain information on possible barriers to families and individuals receiving various benefits programs, and to provide more direct evidence on the take-up rate for these programs. Receipt of many government benefits is contingent upon filing an income tax return. This project will provide analysis of T1 tax filing profile and take-up rates of various benefits programs according to socio-demographics characteristics, analysis of the incidence of benefit take-up and the benefit receipts according to income levels, and analysis of the characteristics of the non-filers or those who do not receive the grants.

Output: Only non-confidential aggregated tables, conforming to the confidentiality provisions of the Statistics Act, will be released outside of Statistics Canada. Confidentiality rules for the Census would be applied to all products before release.

The Longitudinal Administrative Databank (LAD) linked to the Discharge Abstract Database (DAD) (012-2019)

Purpose: The objective of this initiative is to create a linked database that will support research on the relationships between labour market, income and hospitalizations including financial outcomes experienced by individuals and families following hospitalizations resulting from accidents and acute illness. The proposed linkage will combine data on acute inpatient hospitalizations with data on income and employment. The resulting analytical files will support a broad program of research related to income and hospitalizations including research on the economic consequences of ‘health shocks’ for individuals and their families and the implications for income, labour and health policies. The de-identified linked files will be made available to researchers through the Research Data Centres Network.

Output: Methodological and analytical findings resulting from these linked data will be used to prepare research papers for publication. Only non-confidential aggregate statistics that will not result in the identification of an individual person, business or organization will be released outside of Statistics Canada and the Research Data Centres.

The Canadian Cancer Trials Group (CCTG) Long-Term Innovative Follow-up Extension (LIFE) study (013-2019)

Purpose: The purpose of this linkage is to obtain long-term follow-up information on consenting individuals with aggressive non-Hodgkin lymphoma who previously enrolled on the LY.12 randomized phase III clinical trial. The cohort of clinical trial participants will be linked to the Canadian Cancer Registry in order to identify occurrence of malignancy, either second cancer or recurrence of lymphoma. Linkage to the Canadian Vital Statistics Death Database will be undertaken to assess long-term survival and cause of death of those who participated in the trial.

Output: The de-identified linked datasets will be available for the exclusive use of researchers from the Canadian Cancer Trials group within a Research Data Centre (RDC). All data and analytical products to be released outside of 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.

Temporary foreign workers in the agricultural sector (014-2019)

Purpose: The purpose of this linkage is to provide data about the number and demographic information of temporary foreign workers (TFW) in the agricultural sector, by farm type and province. These workers help offset labour shortages in the agricultural sector and this information will help inform policies related to TFW.

The Census of Agriculture will be used during the exploratory phase for the initial linkage of the businesses to the businesses in the Census universe. For regular production, the Agriculture Taxation Data Program will be used instead as it covers the entire business population in scope on an annual basis.

Output: A research paper profiling temporary foreign workers in the agricultural sector in 2015. Annual non-confidential data tables profiling temporary foreign workers in the agricultural sector from 2015 onward will be released.

Assessing disparities in perinatal health among Canadian women. (016-2019)

Purpose: The purpose of this project is to create a linked dataset that will allow the study of women’s perinatal health at the population level, including the ability to assess the differences across various sociodemographic parameters. In order to achieve this purpose, information from the Canadian Vital Statistics Birth Database (CVSB) and the Canadian Vital Statistics Stillbirth Database (CVSS) will be used to create a cohort of mothers (Mothers File). The Mothers File will be linked to various administrative datasets including: the Immigrant Landing file, the T1 Family File, the long form Census (2001, 2006 and 2016) and the National Household Survey (2011) to add sociodemographic information about mothers. The Mothers File will also be linked to the Discharge Abstract Database (DAD) and the National Ambulatory Care Reporting System (NACRS) to examine maternal morbidity before and during pregnancy. In addition, the Mothers File will be linked to the Canadian Vital Statistics Death Database (CVSD) to identify maternal deaths and study association between maternal mortality and maternal morbidity during pregnancy. Finally, a linkage of the CVSB and the CVSS to the CVSD will be undertaken in order to identify infant deaths and study the association of infant mortality with indicators of perinatal health among various subgroups.

Output: The linked data will be available to deemed employees with approved projects to use in a Research Data Center (RDC).

Linkage of Atlantic Indigenous Businesses to the Linkable File Environment (017-2019)

Purpose: The Atlantic Provinces Economic Council (APEC) is conducting research on establishing benchmarks for the Digital Technology Industry in Atlantic Canada. This research project is being conducted on behalf of TechImpact and is funded by Atlantic Canada Opportunities Agency (ACOA), Nova Scotia Business Inc. and Opportunities New Brunswick.

The proposed project would link a database of approximately 500 companies in Atlantic Canada that fit the definition of the digital technology sector to Statistics Canada administrative databases to build a simple profile of APEC client firms. The digital economy in Atlantic Canada is evolving rapidly but its size and impact are largely unknown. There are several sub-segments of Atlantic Canada’s digital economy that appear to be growing rapidly, such as big data and the internet of things, e-health, and cloud computing, e-commerce and cyber security. These industries are not adequately identified within the standard Information and Communication Technology (ICT) definition or within Statistics Canada’s new Digital Satellite Account. The LFE analysis of APEC’s custom database will provide important baseline and recent growth parameters that are not available currently. With a better understanding of the size, scope and growth dynamics of digital technology firms, governments and other organizations that support their growth, including training and education institutions, incubators and accelerators, and financing organizations, can make better policy decisions and ensure support services are of sufficient scale and appropriate design and scope.

To do so, APEC firm data are to be provided to Statistics Canada’s Centre for Special Business Projects for the linkage. The database provided to Statistics Canada will include: business name, mailing or street address, city/town, province, postal code, business phone number, and website address (if available).

Output: The output will be in the form of a profiling table which will present aggregate economic indicators such as the total revenue; sales; profits, exports and the number of employees by Atlantic province and by sector. The linked APEC list of businesses will be housed at Statistics Canada’s Centre for Special Business Project (CSBP).

A research dataset will be produced and the full integrated database will be used by CSBP to produce a custom-designed table of non-confidential aggregate statistics for the client. The output of this project will not be sent to the Canadian Centre for Data Development and Economic Research (CDER).

Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Linkage of Nova Scotia NSBI (cohort_2018)) Businesses to the Linkable File Environment (018-2019)

Purpose: The proposed project would link a cohort of Nova Scotia businesses to Statistics Canada administrative databases to produce a statistic table based on the list of businesses in the cohort provide by Nova Scotia Business Inc. (NSBI).

Information provided by the Nova Scotia Business Inc. (NSBI) will include company name, and company address. These will be matched to businesses on the BR.

A dataset will be produced and the full integrated database will be maintained in Statistics Canada’s Canadian Centre for Special Business Projects (CSBP).

Output: The output will be in the form of tables which present a series of descriptive statistics for both all enterprises in Nova Scotia and for the cohort of enterprises provided by NSBI. The tables of interest will include: year by year changes in export value from 2014 to 2018; new exporter firms from 2014 to 2018; payroll changes year by year from 2014 to 2018; diversification of export markets.

These tables will be produced at the four digit North American Industry Classification System (NAICS) level if possible, although some industry results will only be at the three or two digit NAICS levels because of confidentiality reasons.

A table production dataset will be produced and the fully integrated database will be used by Statistics Canada’s Centre for Special Business Projects to produce a custom-designed table of non-confidential aggregate statistics for the client. The output of this project will not be sent to the Canadian Centre for Data Development and Economic Research (CDER).

Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Canadian Census Health and Environment Cohorts (CanCHEC): Linkages of the 1991, 1996, 2001, 2006 and 2016 censuses of population and the 2011 National Household Survey to Mortality, Cancer, Hospital Administrative Files, and T1 Family File. (019-2019)

Canadian Census Health and Environment Cohorts (CanCHEC): Linkages of the 1991, 1996, 2001, 2006 and 2016 censuses of population and the 2011 National Household Survey to Mortality, Cancer, Hospital Administrative Files, and T1 Family File. (019-2019)

Purpose: To create a series of population-based census linked 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 tax files) and historical exposure (using historical postal codes mainly derired from tax files to attach environmental exposures). 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 Census of Population and 2011 National Household Survey and other datasets used in this linkage. Access will be granted following standard Research Data Centres (RDCs) 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 and the Health Indicators program. Analytical datasets will be placed in the 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.).

Microdata Linkage for the Canadian Fishing Fleet Cost and Earnings Study (020-2019)

Purpose: This pilot study is carried out on a cost-recovery basis by Statistics Canada for Fisheries and Oceans Canada. Its purpose is to develop a methodological framework that will allow Fisheries and Oceans Canada to evaluate the financial performance of a subset of fishing fleets across Canada in a more efficient and cost-effective manner and to test it by preparing aggregate-level statistical tables.

Output: Statistical tables will be prepared at the aggregate level while meeting the confidentiality provisions of the Statistics Act. Only statistics such as averages, standard deviations, etc., will be provided to the client. The linkage will be performed at Statistics Canada by Statistics Canada staff, and the linked files will be kept on a secure, password-protected server.

Linkage of the 2002 Canadian Community Health Survey – Mental Health and Well-being – Canadian Forces (CCHS-CF) to the 2018 Canadian Armed Forces Members and Veterans Mental Health Follow-up Survey (CAFVMHS) (021-2019)

Linkage of the 2002 Canadian Community Health Survey – Mental Health and Well-being – Canadian Forces (CCHS-CF) to the 2018 Canadian Armed Forces Members and Veterans Mental Health Follow-up Survey (CAFVMHS) (021-2019)

Purpose: The purpose of this project is to allow researchers in the Research Data Centres (RDCs) to link the Masterfile of the 2002 Canadian Community Health Survey – Mental Health and Well-being – Canadian Forces (CCHS-CF) with the Masterfile of the 2018 Canadian Armed Forces Members and Veterans Mental Health Follow-up Survey (CAFVMHS). The linked file will provide longitudinal Canadian data that can be used to assess the impact of mental health disorders on a range of outcomes among military personnel.

Output: Only non-confidential aggregate statistics and analyses conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. All products containing linked data will be disseminated in accordance with Statistics Canada's policies, guidelines and standards. Outputs from this linkage will include a wide range of analysis and standard data tables, as well as custom tabulations. The analytical file will not contain any personal identifiers. A concordance key will be retained indefinitely as part of this record linkage. The opportunity to produce the linked file will be made available to researchers at Statistics Canada's Research Data Centres.

Socioeconomic and Ethnocultural Disparities in Perinatal Health in Canada: Current Pattern and Changes Over Time (023-2019)

Purpose: The purpose of the research project is to investigate disparities in perinatal outcomes such as preterm birth, stillbirth, and infant mortality by the ethnocultural and socioeconomic characteristics of parents, and examine how these have evolved over time. Knowledge of differential magnitudes of disparities across population groups is essential in developing policy and prioritizing potential intervention strategies.

Linkage of the Canadian Housing Survey to historical income information, information on social and affordable housing, measures on proximity to services and measures on income dispersion in communities (024-2019)

Linkage of the Canadian Housing Survey to historical income information, information on social and affordable housing, measures on proximity to services and measures on income dispersion in communities (024-2019)

Purpose: The Canadian Housing Survey (CHS) is designed to fill a data need in support of the federal government's National Housing Strategy. The biennial survey helps track whether Canadians have housing that meets their needs and that they can afford.

The purpose of this linkage is to enrich the CHS program by making available more complementary information to all stakeholders. The additional information will assist with program and policy development to help Canadians with their housing decisions and improve their living standards, for example:

Historic income information would provide a more complete understanding of housing needs for Canadians in relation to their evolving circumstances over several years;
Social and affordable housing information would align affordable housing programs better to Canadians most in need; and
Insights from proximity to services and income dispersion measures would inform resource allocations to maximize individual housing experiences.

Output: Only non-confidential aggregated data and analytical products that conform to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act will be released outside of Statistics Canada. Linked analytical datasets (without any personal identifiers) to be accessible through the Research Data Centres.

Linkage of Labour Force Survey with Longitudinal Workers File (025-2019)

Purpose: This projects will link Labour Force Survey (LFS) respondents from 2007 onwards with the Longitudinal Workers File (LWF). This linkage will extend the utility of these existing data sources using innovative methods and produce insightful longitudinal analyses in the form of publications and conference presentations. By using existing data from the LFS for a new purpose without introducing respondent burden, this linkage project is fully taking advantage of the available data already collected by Statistics Canada, and using it to advance innovative, in-depth concepts related to longitudinal labour market analysis. For example, identifying subgroups of the population who were vulnerable to labour market adversity beyond the 2009 recession could help inform future recession-related policies/programs.

Output: Access to the linked microdata files will be restricted to Statistics Canada personnel 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. Key findings will be used to create research papers for publication in peer-reviewed journals and presentations at workshops and conferences.

The Economic and Environmental Impacts of Voluntary Energy Conservation Programs: Evidence from the Canadian Industry Program for Energy Conservation (026-2019)

Purpose: Voluntary programs to reduce greenhouse gas emissions are an important policy instrument due to their potential to improve environmental outcomes without imposing externally mandated costs. This study will provide a better understanding of the effectiveness of the Canadian Industry Program for Energy Conservation (CIPEC) at reducing energy consumption in manufacturing establishments. In addition, it will study the indirect impact of the CIPEC program on the economic performance (e.g., productivity, output and investment) of manufacturing establishments. The study will use a dataset created by linking Statistics Canada's Annual Survey of Manufacturing, General Index of Financial Information and the CIPEC program data between 2000 and 2012. The findings will help establish the basis for the evaluation of the economic impact of the CIPEC and other voluntary programs.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The information will be presented in the form of tables of regression results and summary statistics related to the project's goal of evaluation the CIPEC program.

Linkage of Agriculture Taxation Data Program (ATDP) farm operator and farm family income (027-2019)

Purpose: The purpose of this linkage is to improve the quality of published estimates on total income of farm operators and their families. These estimates are used by Agriculture and Agri-Food Canada, other federal and provincial departments, and various agencies to assess the economic welfare of Canadian farm operators and their families, to facilitate farm-level policy development.

Output: This record linkage will increase the quality of some variables that are already part of the dissemination plans for the ATDP Farm Family and/or Farm Operator series.

Only non-confidential aggregates will be disseminated by the ATDP on Statistics Canada’s Data module and in customized tables.

Linkage of the Survey of Early Learning and Child Care Arrangements (SELCCA) to the 2016 Census of Population, the 2017 T1Family File, 2018 Canadian Child Benefit File and the Longitudinal Immigration Database. (028-2019)

Linkage of the Survey of Early Learning and Child Care Arrangements (SELCCA) to the 2016 Census of Population, the 2017 T1Family File, 2018 Canadian Child Benefit File and the Longitudinal Immigration Database. (028-2019)

Purpose: The purpose of the linkage is to respond to the data needs of the Government of Canada’s Multilateral Framework for Early Learning and Child Care. This framework identifies key priorities for child care, including child care that is inclusive and flexible.

The SELCCA file in the research data centres will be augmented with income and demographic variables from the T1 Family File (T1FF), Canadian Child Benefit (CCB) file, 2016 Census of population and the Longitudinal Immigration Database (IMDB).

Analytical variables from the SELCCA file, the T1FF file, IMDB; CCB; the 2016 Census of Population will be outputted to a linked analysis file. A descriptive analysis of families using child care will be undertaken.

Output: 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 reported in research papers, internal and external reporting documents, presentations at workshops and conferences, and external publications (e.g., academic manuscripts).

Elections Canada Data Quality Confirmation Study of the National Register of Electors (029-2019)

Purpose: The purpose of the project is to examine the accuracy and currency of addresses in the Drivers’ License (DL) file, which serves as an input into the Register, by linking and comparing them to addresses found on StatCan’s Labour Force Survey. The results of the study will inform Elections Canada on the quality of the National Register of Electors (the Register) maintained by Elections Canada

Output: Only non-confidential aggregated data and an analytical report that conform to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act will be released outside of Statistics Canada to Elections Canada.

The Educational Pathways and Postsecondary School-to-Work Transitions Of Marginalized Youth In Ontario And Across Canada (030-2019)

Purpose: This study seeks to identify the skills, and new ways of learning, particularly in higher education, that Canadians need in order to:

thrive in an evolving society and labour market;
understand the changing barriers and challenges experienced by students as they transition from high school through postsecondary programs and into the labour market;
assess the long-term effectiveness of programs and strategies available to high school students to improve their chances of getting into and completing postsecondary programs and;
analyze and further the understanding of the relationship between socio-demographic characteristics, high school programs and performance, family background, post-secondary education/pathways, and transitions to the labour market.

Output: The client funding the linkage intends to hold workshops to communicate findings to key stakeholders within and outside our research team. The research results will help formulate policy and practice recommendations and contribute to future research opportunities and policy initiatives.

Presentations of research findings will be delivered to academic and research audiences by team members and graduate students. We will submit proposals to present papers and host sessions at annual conferences held by relevant professional associations, such as the Congress of Social Sciences and Humanities. Opportunities to present at non-academic conferences and various external venues, to ensure that research findings reach relevant practitioner communities, will also be explored.

Research findings will be published in peer-reviewed journals, book chapters, edited collections, and policy reports. In accordance with Tri-Council policy, the research team will publish in open access journals and make the research available in open access repositories to support the accessibility of project outcomes.

White paper and policy briefs will be developed for submission to relevant provincial and federal government bodies for the purposes of informing decision-making.

Finally, the research team will work with their respective university’s communications offices to develop timely and relevant press releases for local and national news outlets and popular media.

Digital Technologies, Firm Performance and Human Capital (031-2019)

Purpose: Innovation in the form of adopting digital technologies has the potential to increase economic prosperity but also brings disruption. A lack of data means that policy makers and researchers struggle to evaluate best how to maximize the benefits and contain the negative impacts of these technologies. This project will link the Aberdeen Enterprise Technologies Indicators (2007-2018) database, from which detailed measures of technology adoption can be derived, to Statistics Canada’s Canadian Employer-Employee Dynamics Database (2001-2018), Census 2006 and 2016, and the National Household Survey 2011. The linkage to the Canadian Employer-Employee Dynamics database, Censuses and National Household Survey will allow the examination of how investments in digital technologies affect firm-level performance, employment and skill-levels within firms. The linkage with the Postsecondary Student Information System (2010-2018) data will allow the examination of how local firm-level digital technology investments affect current, potential and future employees’ educational choices. In particular, researchers are interested in enrollment in and graduation from information technology-related disciplines.

Output: Security measures for the linking keys, identifiers and linked analysis file will conform to Statistics Canada's policies and standards. The linkage will be performed at Statistics Canada by Statistics Canada staff, and the link files will be kept in a secure, password-protected server. Access to direct identifiers and linked files will be restricted to Statistics Canada staff whose assigned work duties require such access. All direct business identifiers will be removed from the analysis file once linkage is complete. External researchers will be able to access the linked data, without direct identifiers, on Statistics Canada premises, under the Directive on the Use of Deemed Employees. The data will be available in the Canadian Centre for Data Development and Economic Research (CDER) only.

British Columbia Income Assistance Data Linkage Project (032-2019)

Purpose: The British Columbia Ministry of Social Development and Poverty Reduction has convened a committee of expert researchers whose mandate will be to study basic income in the BC context and apply basic income concepts to BC’s current income support system. As part of this project, a linkage between British Columbia’s Employment and Assistance data to various administrative files will be created. This project will provide analysis aiming at determining the social, economic, and health impacts of such a program while acknowledging the impact of technological advances, shifting demographics, changing social norms regarding labour force participation, and citizens’ expectations from government. In particular, the development of analytical research projects are expected to help researchers, the general public and government to understand and to improve assistance policies or programs.

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. Research reports and presentations to various groups will be generated from the analysis file. Only non-confidential aggregate data or tables conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Security measures for the linking keys, identifiers and analysis file will conform to Statistics Canada's policies and standards. All direct identifiers will be removed from the analysis file once linkage is complete. The analysis file will be made available to Statistics Canada researchers, and to deemed employees at the Statistics Canada Research Data Centres under the Directive on the Use of Deemed Employees. The analysis file will be retained in accordance with the Directive on the Management of Statistical Microdata Files, until no longer required, at which time it will be destroyed.

Canadian Income Survey Plus (033-2019)

Purpose: The purpose of this linkage is to improve the quality of income-related information produced by the Canadian Income Survey (CIS) by drawing income information from virtually all of the Labour Force Survey (LFS) sample. The CIS, which is collected from a sub-sample of the LFS, provides annual income and low income statistics for various family types, demographic characteristics and geographies. The linkage of the LFS sample to the Administrative Personal Income Masterfile (APIM) will improve the quality of income and low income estimates, without increasing response burden or survey costs. Furthermore, this larger sample will allow the release of more detailed estimates, particularly for small populations that are difficult to capture in the CIS sample.

Output: Only non-confidential aggregated data and analytical products that conform to the confidentiality provisions of the Statistics Canada Act and any applicable requirements of the Privacy Act will be released outside of Statistics Canada. Linked analytical datasets (without any personal identifiers) will be accessible through the Research Data Centres.

Characteristics of Firms that Hire Temporary Foreign Workers: A Case Study of Meat Products Manufacturing and Fish and Seafood Product Industries. (035-2019)

Purpose: This study aims to better understand the characteristics of the firms’ use of the Temporary Foreign Workers (TFWs) Program, and the impact of TFWs on the Canadian labour market. The study will focus on two industries, the meat products manufacturing industry and the seafood product preparation and packaging industry.

Data from ESDC’s Labour Market Impact Assessment (LMIA) database on the firms that used TFWs in these two industries during the 2008 to 2018 time period are linked to the Canadian Employer-Employee Dynamics Database (CEEDD) for the same years. The LMIA database provides the identity of the firms using TFWs, and CEEDD provides data on the firms’ characteristics and employees’ earnings data.

The linked database is used to: compare the characteristics of firms that use TFWs to those in the same industries that do not; model the number of TFWs used per firm; and to examine the employment earnings differential between employees in firms that have used TFWs and those in firms that have not used TFWs.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The information will be presented in the form of tables of regression results and summary statistics related to the project’s goal of evaluating the TFW program.

Linkage of Canadian Space Agency data to the Linkable File Environment (036-2019)

Purpose: The proposed project would link the Canadian Space Agency (CSA) Database to Statistics Canada administrative databases to produce statistical tables based on the list of companies with space-related activities in Canada.

Information provided by the Canadian Space Agency will include company name, company address; financial information (revenue; R&D expenditures…). These will be matched to businesses on Statistics Canada’s Business Register (BR).

A dataset will be produced and the full integrated database will be maintained in Statistics Canada’s Canadian Centre for Special Business Projects (CSBP).

Output: The output will be in the form of tables which present a series of descriptive statistics for enterprises surveyed by CSA in sectors of space-related activities. The tables of interest will present the mean of sales; employment; export; revenue by year, province and NAICS.

Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Census shelter residents linkage project (037-2019)

Purpose: Employment and Social Development Canada and the Canada Mortgage and Housing Corporation have requested a data linkage of shelter residents to better understand the income and housing situations of persons enumerated in shelters during the 2011 and 2016 Census cycles. The linked file will be used for the development of analytical research projects that will aid in determining how to support the vulnerable Canadians in maintaining safe, stable and affordable housing.

Output: All access to the linked microdata file will be restricted to Statistics Canada personnel (including Statistics Canada deemed employees) whose work activities require approval and access. Research reports and presentations to various groups will be generated from the analysis file. Only non-confidential aggregate data or tables conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

The out-of-pocket burden of cancer care for patients and survivors in Canada (038-2019)

Purpose: The purpose of this project is to better understand the full scope and magnitude of the economic burden of out-of-pocket costs paid by cancer patients and survivors. To that end, the Survey of Household Spending (SHS) will be linked to the Canadian Cancer Registry. This linked cohort, as well as a case-matched control cohort, will be linked to the T1 Personal Master File (T1PMF), to health administrative databases such as the Discharge Abstract Database (DAD), the National Ambulatory Care Reporting System (NACRS) and the Ontario Mental Health Reporting System (OMHRS), and to the Canadian Vital Statistics Deaths Database (CVSD).

Receipt of disability benefits by Canadian adults with disabilities: a longitudinal study using linked data from the 2017 Canadian Survey on Disability (CSD) with historical income statistics from T1 Family File (039-2019)

Receipt of disability benefits by Canadian adults with disabilities: a longitudinal study using linked data from the 2017 Canadian Survey on Disability (CSD) with historical income statistics from T1 Family File (039-2019)

Purpose: This study will examine the feasibility and validity of linking the CSD to longitudinal data from the T1FF. This data could be used to inform policy stakeholders and to address important research questions. The data aims to provide the most up-to-date information on the use of disability benefits by Canadians aged 15 and over whose daily activities were limited due to a long-term condition or health-related problem. Second, socio-demographic characteristics of beneficiaries will be described. Thirdly, we will examine the association between disability characteristics (type, severity, and duration) and disability benefit receipt.

Output: a report and presentation deck on the validity of linking the CSD to longitudinal data from the T1FF will be prepared.

If successful, non-confidential aggregate data will be used for possible dissemination products such as research article(s), presentation decks, and/ or reports to stakeholders as well as a linked data file available in the RDCs.

British Columbia Basic Income Project: The Potential Impact of a Basic Income on Child Outcomes (040-2019)

Purpose: This project is part of a large study of the potential impact of a Basic Income as a policy tool for British Columbia. ‘Basic Income’ refers to a program of transfer payments, through which the government would guarantee that everyone has income that exceeds a specific minimum level. For example, through the Guaranteed Income Supplement and Old Age Security, people over age 65 in Canada are guaranteed to have an income no lower than $18,000 a year.

The project will estimate the impacts of existing transfers on childhood educational outcomes as a basis for predicting the impact of a Basic Income. The key research question is: do changes in transfer income for parents (including transfers from Income Assistance and Employment Insurance) affect children’s educational attainment, future success in the labour market, and future receipt of benefits?

The results of the study will have direct impacts on policy deliberations and, ultimately, on the form of the transfer system aimed at helping the most vulnerable in our society. The results would also likely serve as an input to discussions in other jurisdictions, including at the federal level.

Output: The linked analysis file, with all identifiers removed, will be made available to researchers with approved projects in the Statistics Canada Research Data Centres (RDCs) who are deemed employees of Statistics Canada.

In particular, for the purposes of the BC Basic Income study project, each researcher involved with the project will prepare a report. The reports will be disseminated in three ways:

1) They will become part of the overall project report to the BC government.

2) They will be compiled as chapters in a book on analysing basic income which, it is anticipated, will be published by the Institute for Research on Public Policy (IRPP) and sold publicly.

3) Researchers may convert their reports into academic papers, which they will submit to peer reviewed journals.

Feasibility study for identifying persons living in shelters using administrative data (041-2019)

Purpose: To study the feasibility of providing more timely and frequent data sources for persons living in shelters by using administrative data.

While the Census can provide data for persons living in shelters, the Census only collects data every 5 years. By linking administrative data with the Dwelling Universe file, it may be possible to develop techniques to identify a certain portion of persons living in shelters using administrative data, which is available on an annual basis. An assessment of these methods will be performed by linking to Census data (2006 to 2016).

This would provide a timelier source of data to study persons living in shelters.

Output: Statistics Canada will prepare a set of analytical tables, containing only aggregate data which conform to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act.

Multi-use proposal for the 2016 Census long-form and the Longitudinal Administrative Databank (LAD) linkage project. (042-2019)

Purpose: This project is intended to facilitate timely access of approved researchers operating in Statistic Canada’s Research Data Centres to detailed 2016 Census long-form characteristics data linked with annual snapshot files from the Longitudinal Administrative Database (LAD).

Output: Only non-confidential aggregate statistics and analyses conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

All products containing linked data will be disseminated in accordance with Statistics Canada's policies, guidelines and standards. Outputs from this linkage will include a wide range of analysis and standard data tables, as well as custom tabulations.

The Role of Firms in the Integration and Impact of Immigrants and Temporary Residents in Canada (043-2019)

Purpose: The purpose of the project is to study: the career paths of immigrants and temporary residents; the role of firms in facilitating the integration and assimilation of immigrants to Canadian economy; and the impacts of immigrant and temporary residents on firm growth, international trade, innovation, and local labor markets. To carry out the project, a linked file consisting of immigrants and temporary residents in the Longitudinal Immigration Database (IMDB), a 20% sample of the Canadian-born population in the Longitudinal Administrative Databank (LAD), and businesses in the Canadian Employer-Employee Dynamics Database (CEEDD) will be created. Existing linkages do not provide information on the employers where immigrants and temporary residents work. Results from this project can help Immigration, Refugees and Citizenship Canada assess and improve the effectiveness of immigrant and temporary resident programs and develop policies to attract and retain the right skill and talents needed for new digital economy.

Output: Security measures for the linking keys, identifiers and linked analysis file will conform to Statistics Canada’s policies and standards. All direct business and individual identifiers will be removed from the analysis file once linkage is complete. The linked file will be retained in accordance with the Directive on the Management of Statistical Microdata Files, until no longer required, at which time it will be destroyed. External researchers can only access the firm-level information in Statistics Canada’s Researcher Data Centers (RDCs) that remove any direct identifiers and identifiable information. The firm-level information is transformed into categorical variables to prevent the identification of firms from the aggregation of the individual-level data. Only non-confidential aggregate statistics and analyses conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Linkage of power generation enterprises to the Longitudinal Employment Analysis Program (LEAP) (044-2019)

Purpose: The proposed project would link a database of approximately 400 firms affected and not affected by the clean energy transition to Statistics Canada administrative databases.

The clean energy transition presents both opportunities and challenges to Canadian workers, as some sectors are likely to contract, and some expand, when greenhouse gas policies are applied. An obvious example is in the electricity generation sector, where reducing greenhouse gas emissions may involve closure of coal-fired generating plants, and expansion of renewable power generating facilities. For example, in Canada, power generated by coal generating plants has decreased substantially since 2000 especially due to the phase-out of coal generation in Ontario, whereas power generated by wind has increased from near zero in 2005 to 6 percent of Canada's electricity supply as of 2018.

Statistics Canada’s Centre for Special Business Projects (CSBP) would like to examine how the clean energy transition is affecting Canadian workers but, more specifically, on how rapid changes in regulation, prices, and technology in the electricity generation sector have affected workers in this sector. Also, a special attention will be on the phase-out of coal fired electricity generation in Ontario as well as the rapid expansion of renewable generation across the country.

Consequently, with the mandate letters in mind, two research questions will be investigated:

What are the transitional impacts of coal-plant closure on employee outcomes?
What are the economics implications of renewable energy development?

To do so, data of firms affected and not affected by the clean energy transition will be provided to CSBP for the linkage. The database provided to Statistics Canada will include: business name, mailing or street address, city/town, province, postal code, business phone number, and website address (if available).

Output: The output will be in the form of an analytical document. The linked list of businesses will be housed at Statistics Canada’s Centre for Special Business Projects.

A research dataset will be produced and the full integrated database will also be maintained in Statistics Canada’s Canadian Centre for Special Business Projects.

Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Food Services and Drinking Places (Monthly): CVs for Total Sales by Geography - July 2018 to July 2019

CVs for Total Sales by Geography
Table summary
This table displays the results of CVs for Total Sales by Geography. The information is grouped by geography (appearing as row headers), Month, 201807, 201808, 201809, 201810, 201811, 2018012, 201901, 201902, 201903, 201904, 201905, 201906, and 201907 (appearing as column headers), calculated using percentage unit of measure (appearing as column headers).
Geography	Month
	201807	201808	201809	201810	201811	201812	201901	201902	201903	201904	201905	201906	201907
	percentage
Canada	0.54	0.51	0.57	0.60	0.63	0.63	0.69	0.63	0.57	0.54	0.56	0.60	0.61
Newfoundland and Labrador	1.50	1.48	1.27	1.53	1.25	1.35	2.14	1.84	2.36	2.04	2.16	1.81	2.52
Prince Edward Island	4.50	5.89	6.16	5.03	4.16	3.46	3.11	2.65	3.37	3.12	0.57	1.99	6.90
Nova Scotia	3.66	2.04	2.20	2.76	4.16	2.49	2.42	3.49	3.37	2.42	2.90	2.70	4.67
New Brunswick	2.95	1.59	1.43	1.46	1.41	1.48	1.66	1.18	1.78	1.96	1.69	2.06	2.18
Quebec	1.10	1.00	1.21	1.20	1.33	1.17	1.21	1.14	1.01	1.26	1.07	1.49	1.38
Ontario	1.00	0.96	0.96	1.05	1.10	1.15	1.29	1.11	1.00	0.93	0.98	1.00	1.03
Manitoba	1.81	1.52	2.19	2.29	1.94	2.09	2.03	1.76	1.58	1.68	1.52	1.62	2.39
Saskatchewan	1.39	1.37	1.58	1.61	1.34	1.29	1.74	2.34	1.74	1.59	1.72	1.62	1.40
Alberta	1.04	1.03	1.89	1.79	1.73	1.72	2.01	1.80	1.81	1.25	1.42	1.44	1.37
British Columbia	1.43	1.41	1.42	1.48	1.60	1.64	1.66	1.68	1.49	1.52	1.60	1.66	1.61
Yukon Territory	4.31	3.06	3.67	4.59	4.39	4.18	3.78	3.69	3.65	3.09	4.72	4.81	3.43
Northwest Territories	1.23	0.88	0.66	0.89	0.97	0.89	0.85	0.73	1.03	0.80	0.96	0.99	0.93
Nunavut	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00

Administrative data sources in the production of official statistics – Children and youth

Health of children and youth

Health of children and youth

Vaccination data

Statistics Canada uses the following vaccination data:

patient’s immunization record (type of antigen (vaccine name), date of immunization, immunizing agent (vaccine product or brand name)).

The following statistical program uses these data for statistical and research purposes only:

Childhood National Immunization Coverage Survey

Financial statements, March 31, 2019

Statement of Management Responsibility Including Internal Control over Financial Reporting

Responsibility for the integrity and objectivity of the accompanying financial statements for the year ended March 31, 2019, and all information contained in these statements rests with the management of Statistics Canada (the agency). These financial statements have been prepared by management using the Government of Canada's accounting policies, which are based on Canadian public sector accounting standards.

Management is responsible for the integrity and objectivity of the information in these financial statements. Some of the information in the financial statements is based on management's best estimates and judgment, and gives due consideration to materiality. To fulfill its accounting and reporting responsibilities, management maintains a set of accounts that provides a centralized record of the agency's financial transactions. Financial information submitted in the preparation of the Public Accounts of Canada, and included in the agency's Departmental Results Report, is consistent with these financial statements.

Management is also responsible for maintaining an effective system of internal control over financial reporting (ICFR) designed to provide reasonable assurance that financial information is reliable, that assets are safeguarded, and that transactions are properly authorized and recorded in accordance with the Financial Administration Act and other applicable legislation, regulations, authorities and policies.

Management seeks to ensure the objectivity and integrity of data in its financial statements through careful selection, training and development of qualified staff; through organizational arrangements that provide appropriate divisions of responsibility; through communication programs aimed at ensuring that regulations, policies, standards, and managerial authorities are understood throughout the agency and through conducting an annual risk-based assessment of the effectiveness of the system of ICFR.

The system of ICFR is designed to mitigate risks to a reasonable level based on an ongoing process to identify key risks, to assess the effectiveness of associated key controls, and to make any necessary adjustments.

A risk-based assessment of the system of ICFR for the year ended March 31, 2019 was completed in accordance with the Treasury Board Policy on Financial Management and the results and action plans are summarized in the annex, which can be found at the end of the notes to these financial statements.

The effectiveness and adequacy of the agency's system of internal control is reviewed by the work of internal finance staff, who conduct periodic assessments of different areas of the agency's operations, and by the Departmental Audit Committee (DAC), who provide advice to the Chief Statistician on the adequacy and effectiveness of the agency's risk management, control and governance frameworks and processes.

The financial statements of Statistics Canada have not been audited.

Anil Arora, Chief Statistician
Ottawa, Canada
September 6, 2019

Monia Lahaie, Chief Financial Officer
Ottawa, Canada
September 6, 2019

Statement of Financial Position *(Unaudited)*
As at March 31
*(in thousands of dollars)*
Liabilities
	2019	2018
Accounts payable and accrued liabilities (note 4)	79,357	84,754
Vacation pay and compensatory leave	27,577	25,611
Deferred revenue (note 5)	619	627
Lease obligation for tangible capital assets (note 6)	6	30
Employee future benefits (note 7)	19,280	22,852
Total net liabilities	126,839	133,874
Financial assets
Due from Consolidated Revenue Fund	63,107	62,149
Accounts receivable and advances (note 8)	7,316	8,659
Total net financial assets	70,423	70,808
Departmental net debt	56,416	63,066
Non-financial assets
Prepaid expenses	4,174	5,355
Consumable supplies	1,098	1,280
Tangible capital assets (note 9)	164,985	156,338
Total non-financial assets	170,257	162,973
Departmental net financial position	113,841	99,907
Contractual obligations and contractual rights (note 10) Contingent liabilities and contingent assets (note 11) The accompanying notes form an integral part of these financial statements.

Anil Arora, Chief Statistician
Ottawa, Canada
September 6, 2019

Monia Lahaie, Chief Financial Officer
Ottawa, Canada
September 6, 2019

Statement of Operations and Departmental Net Financial Position *(Unaudited)*
For the Year Ended March 31
*(in thousands of dollars)*
Expenses
	2019 Planned Results	2019	2018
Economic and environmental statistics	0	0	147,595
Socio-economic statistics	0	0	110,129
Censuses	0	0	76,229
Statistical infrastructure	0	0	171,120
Cost-recovered statistical services	0	0	126,098
Statistical Information	578,921	610,940	0
Internal services	73,688	78,608	80,828
Total expenses	652,609	689,548	711,999
Revenues
Special statistical services	131,017	143,882	129,915
Other revenues	100	80	111
Revenues earned on behalf of Government	-18,604	-20,418	-18,543
Total revenues	112,513	123,544	111,483
Net cost of operations before government funding and transfers	540,096	566,004	600,516
Government funding and transfers
Net cash provided by Government of Canada		504,373	535,731
Change in due from Consolidated Revenue Fund		958	7,842
Services provided without charge by other federal government departments (note 12a)		74,507	81,447
Transfer of the transition payments for implementing salary payments in arrears		0	-3
Transfer of assets to other federal government departments		100	-0
Net revenue of operations after government funding and transfers		-13,934	-24,501
Departmental net financial position - Beginning of year		99,907	75,406
Departmental net financial position - End of year		113,841	99,907
Segmented information (note 13) Comparative information (note 14) The accompanying notes form an integral part of these financial statements.

Statement of Change in Departmental Net Debt *(Unaudited)*
For the Year Ended March 31
*(in thousands of dollars)*
Change due to tangible capital assets
	2019	2018
Net revenue of operations after government funding and transfers	-13,934	-24,501
Acquisition of tangible capital assets (note 9)	36,046	33,837
Amortization of tangible capital assets (note 9)	-27,418	-24,998
Net loss on disposal of tangible capital assets	-76	-108
Transfer of tangible capital assets to other federal government departments	95	-0
Total change due to tangible capital assets	8,647	8,731
Change due to consumable supplies	-182	150
Change due to prepaid expenses	-1,181	-281
Net decrease in departmental net debt	-6,650	-15,901
Departmental net debt - Beginning of year	63,066	78,967
Departmental net debt - End of year	56,416	63,066
The accompanying notes form an integral part of these financial statements.

Statement of Cash Flows *(Unaudited)*
For the Year Ended March 31
*(in thousands of dollars)*
Operating activities
	2019	2018
Net cost of operations before government funding and transfers	566,004	600,516
Non-cash items:
Amortization of tangible capital assets (note 9)	-27,418	-24,998
Loss on disposal of tangible capital assets	-76	-108
Services provided without charge by other federal government departments (note 12a)	-74,507	-81,447
Transfer of emergency salary advances to other federal government departments	-5	0
Transition payments for implementing salary payments in arrears	0	3
Variations in Statement of Financial Position:
Decrease in accounts receivable and advances	-1,343	-10,007
Decrease in prepaid expenses	-1,181	-281
Decrease / increase in consumable supplies	-182	150
Decrease in accounts payable and accrued liabilities	5,397	21,194
Increase in vacation pay and compensatory leave	-1,966	-2,353
Decrease in deferred revenue	8	286
Decrease / increase in employee future benefits	3,572	-1,142
Cash used in operating activities	468,303	501,813
Capital investing activities
Acquisitions of tangible capital assets, excluding capital leases (note 9)	36,046	33,837
Cash used in capital investing activities	36,046	33,837
Financing activities
Payments of lease obligation for tangible capital assets	24	81
Cash used in financing activities	24	81
Net cash provided by Government of Canada	504,373	535,731
The accompanying notes form an integral part of these financial statements.

Notes to the Financial Statements (Unaudited)
For the Year Ended March 31

1. Authority and objectives

Statistics Canada (the agency) was established in 1918, pursuant to the Statistics Act. The agency received full departmental status by order-in-council in 1965.

The agency is a division of the public service named in Schedule I.1 of the Financial Administration Act. The minister responsible for Statistics Canada is the Minister of Innovation, Science and Economic Development, who represents the agency in Parliament and in Cabinet.

The agency's mandate derives primarily from the Statistics Act. The act requires the agency — under the direction of the minister — to collect, compile, analyze, and publish statistical information on the economic, social, and general conditions of the country and its citizens. Statistics Canada has a mandate to coordinate and manage the country's statistical system.

The agency's mandate has two primary objectives:

Provide statistical information and analysis of the economic and social structure and functioning of Canadian society as a basis for the development, operation and evaluation of public policies and programs. This information is used for public and private decision-making, and for the general benefit of all Canadians.
Promote the quality, coherence, and international comparability of Canada's statistics through collaboration with other federal departments and agencies, with the provinces and territories, and in accordance with sound scientific standards and practices.

The agency reports on the two core responsibilities described below.

Statistical information - The agency has a responsibility to produce objective high-quality statistical information for the whole of Canada. The statistical information produced relates to the commercial, industrial, financial, social, economic, environmental and general activities and conditions of the people of Canada.

Internal services - Internal services are groups of related activities and resources that are administered to support the needs of programs and other corporate obligations of an organization.

2. Summary of significant accounting policies

These financial statements have been prepared using the agency's accounting policies stated below, which are based on Canadian public sector accounting standards. The presentation and results using the stated accounting policies do not result in any significant differences from Canadian public sector accounting standards.

The significant accounting policies are as follows:

(a) Parliamentary authorities

The agency is financed by the Government of Canada through Parliamentary authorities. Financial reporting of authorities provided to the agency do not parallel financial reporting according to generally accepted accounting principles since authorities are primarily based on cash flow requirements. Consequently, items recognized in the Statement of Financial Position and in the Statement of Operations and Departmental Net Financial Position are not necessarily the same as those provided through authorities from Parliament. Note 3 provides a reconciliation between the bases of reporting. The planned results amounts in the "Expenses" and "Revenues" sections of the Statement of Operations and Departmental Net Financial Position are the amounts reported in the Future-oriented Statement of Operations included in the 2018-19 Departmental Plan. Planned results are not presented in the "Government funding and transfers" section of the Statement of Operations and Departmental Net Financial Position and in the Statement of Change in Departmental Net Debt because these amounts were not included in the 2018-19 Departmental Plan.

(b) Net cash provided by Government

The agency operates within the Consolidated Revenue Fund (CRF), which is administered by the Receiver General for Canada. All cash received by the agency is deposited into the CRF, and all cash disbursements made by the agency are paid from the CRF. The net cash provided by the Government is the difference between all cash receipts and all cash disbursements, including transactions between federal government departments.

(c) Amounts due from or to the CRF

Amounts due from or to the CRF are the result of timing differences at year-end between the time when a transaction affects authorities and when it is processed through the CRF. Amounts due from the CRF represent the net amount of cash that the agency is entitled to draw from the CRF without further authorities to discharge its liabilities.

(d) Revenues

Revenues received for special statistical services are recorded as deferred revenue upon receipt. These amounts are recognized as revenue in the period in which the services are rendered and related expenses are incurred.
Other revenues are recognized in the period the event giving rise to the revenues occurred.
Revenues that are non-respendable are not available to discharge the agency's liabilities. While the Chief Statistician; is expected to maintain accounting control, he has no authority regarding the disposition of non-respendable revenues. As a result, non-respendable revenues are considered to be earned on behalf of the Government of Canada and are therefore presented as a reduction of the entity's gross revenues.

(e) Expenses

Transfer payments are recorded as an expense in the year the transfer is authorized and all eligibility criteria have been met by the recipient.
Vacation pay and compensatory leave are accrued as the benefits are earned by employees under their respective terms of employment.
Services provided without charge by other federal government departments for accommodation, employer contributions to the health and dental insurance plans, and workers' compensation are recorded as operating expenses at their carrying value.

(f) Employee future benefits

Pension benefits — Eligible employees participate in the Public Service Pension Plan, a multi-employer pension plan administered by the Government. The agency's contributions to the Plan are charged to expenses in the year incurred and represent the total departmental obligation to the Plan. The agency's responsibility with regard to the Plan is limited to its contributions. Actuarial surpluses or deficiencies are recognized in the financial statements of the Government of Canada, as the Plan's sponsor.
Severance benefits — The accumulation of severance benefits for voluntary departures ceased for applicable employee groups. The remaining obligation for employees who did not withdraw benefits is calculated using information derived from the results of the actuarially determined liability for employee severance benefits for the Government as a whole.

(g) Accounts receivable

Accounts receivable are initially recorded at cost. When necessary, an allowance for valuation is recorded to reduce the carrying value of accounts receivable to amounts that approximate their net recoverable value.

(h) Non-financial assets

All tangible capital assets and leasehold improvements having an initial cost of $10,000 or more are recorded at their acquisition cost. Tangible capital assets do not include immovable assets located on reserves as defined in the Indian Act, works of art, museum collection and Crown land to which no acquisition cost is attributable; and intangible assets.
Consumable supplies include items held for future program delivery and are not intended for resale. These supplies are recorded at the acquisition cost. If there is no longer a service potential, the supplies are valued at the lower of cost or net realizable value.

(i) Contingent liabilities

Contingent liabilities are potential liabilities which may become actual liabilities when one or more future events occur or fail to occur. If the future event is likely to occur or fail to occur, and a reasonable estimate of the loss can be made, a provision is accrued and an expense recorded to other expenses. If the likelihood is not determinable or an amount cannot be reasonably estimated, the contingency is disclosed in the notes to the financial statements.

(j) Contingent assets

Contingent assets are possible assets which may become actual assets when one or more future events occur or fail to occur. If the future even is likely to occur or fail to occur, the contingent asset is disclosed in the notes to the financial statements.

(k) Transactions involving foreign currencies

Transactions involving foreign currencies are translated into Canadian dollar equivalents using rates of exchange in effect at the time of those transactions. Gains and losses resulting from foreign currency transactions are reported on the Statement of Operations and Departmental Net Financial Position according to the activities to which they relate.

(l) Measurement uncertainty

The preparation of these financial statements requires management to make estimates and assumptions that affect the reported and disclosed amounts of assets, liabilities, revenues and expenses reported in the financial statements and accompanying notes at March 31. The estimates are based on facts and circumstances, historical experience, general economic conditions and reflect the Government's best estimate of the related amount at the end of the reporting period. The most significant items where estimates are used are the liability for employee future benefits and the useful life of tangible capital assets. Actual results could significantly differ from those estimated. Management's estimates are reviewed periodically and, as adjustments become necessary, they are recorded in the financial statements in the year they become known.

(m) Related party transactions

Inter-entity transactions are transactions between commonly controlled entities. Inter-entity transactions, other than restructuring transactions, are recorded on a gross basis and are measured at the carrying amount, except for the following:

Services provided on a recovery basis are recognized as revenues and expenses on a gross basis and measured at the exchange amount.
Certain services received on a without charge basis are recorded for departmental financial statement purposes at the carrying amount.

3. Parliamentary authorities

The agency receives most of its funding through annual parliamentary authorities. Items recognized in the Statement of Operations and Departmental Net Financial Position and the Statement of Financial Position in one year may be funded through parliamentary authorities in prior, current, or future years. Accordingly, the agency has different net results of operations for the year on a government funding basis than on an accrual accounting basis. The differences are reconciled in the following tables:

(a) Reconciliation of net cost of operations to current year authorities used

Reconciliation of net cost of operations to current year authorities used
	(in thousands of dollars)
	2019	2018
Net cost of operations before government funding and transfers	566,004	600,516
Adjustments for items affecting net cost of operations but not affecting authorities:
Amortization of tangible capital assets	-27,418	-24,998
Loss on disposal of tangible capital assets	-76	-108
Services provided without charge by other federal government departments	-74,507	-81,447
Increase in vacation pay and compensatory leave	-1,966	-2,353
Decrease / increase in employee future benefits	3,572	-1,142
Refund of prior years' expenditures	1,548	754
Consumption of prepaid expenses	-9,261	-8,122
Bad debt expense	-80	-3
Consumption of supplies	-182	0
Increase / decrease in accrued salary receivable	183	-55
Total items affecting net cost of operations but not affecting authorities	-108,187	-117,474
Adjustments for items not affecting net cost of operations but affecting authorities:
Acquisition of tangible capital assets, excluding capital leases	36,046	33,837
Decrease in lease obligations for tangible capital assets	24	81
Decrease in respendable accounts receivable	-664	-193
Acquisition of prepaid expenses	8,081	7,842
Acquisition of consumable supplies	0	150
Increase in salary receivable	353	847
Increase / decrease in salary advances	6	-4
Transition payments for implementing salary payments in arrears	0	3
Payments for pay equity settlement	6,081	20,166
Total items not affecting net cost of operations but affecting authorities	49,927	62,729
Current year authorities used	507,744	545,771

(b) Authorities provided and used

Authorities provided and used
	(in thousands of dollars)
	2019	2018
Authorities provided:
Vote 1 - Operating expenditures	466,035	504,907
Statutory amounts	69,622	70,220
Total authorities provided	535,657	575,127
Less:
Lapsed: Operating expenditures	-27,913	-29,356
Current year authorities used	507,744	545,771

4. Accounts payable and accrued liabilities

The following table presents details of the agency's accounts payable and accrued liabilities:

Accounts payable and accrued liabilities
	(in thousands of dollars)
	2019	2018
Accounts payable - Other federal government departments and agencies	9,323	11,759
Accounts payable - External parties	24,631	39,713
Accrued salaries and wages	45,403	33,282
Total accounts payables and accrued liabilities	79,357	84,754

5. Deferred revenue

The agency has the authority to expend revenue received during the fiscal year. Deferred revenue represents the balance at year-end of unearned revenues stemming from amounts received from external parties, which are restricted for specific statistical services. Revenue is recognized in the period in which these expenditures are incurred or in which the service is performed. Details of the transactions related to this account are as follows:

Deferred revenue
	(in thousands of dollars)
	2019	2018
Opening balance	627	913
Amount received	143,874	129,629
Revenues recognized	-143,882	-129,915
Net closing balance	619	627

6. Lease obligation for tangible capital assets

The agency has entered into agreements to lease photocopiers under capital leases with a cost of $110 thousand and accumulated amortization of $104 thousand as at March 31, 2019 ($110 thousand and $81 thousand respectively as at March 31, 2018). Obligations for the coming years include the following:

Lease obligation for tangible capital assets
	(in thousands of dollars)
	2019
2020	6
2021	0
2022 and subsequent	0
Total future minimum lease payments	6
Less: imputed interest (0.61% to 1.51%)	-0
Balance of obligations under leased tangible capital assets	6

7. Employee future benefits

a) Pension benefits

The agency's employees participate in the Public Service Pension Plan ("the Plan"), which is sponsored and administered by the Government of Canada. Pension benefits accrue up to a maximum period of 35 years at a rate of 2 percent per year of pensionable service, times the average of the best five consecutive years of earnings. The benefits are integrated with Canada/Québec Pension Plan benefits and they are indexed to inflation.

Both the employees and the agency contribute to the cost of the Plan. Due to the amendment of the Public Service Superannuation Act following the implementation of provisions related to Economic Action Plan 2012, employee contributors have been divided into two groups – Group 1 relates to existing plan members as of December 31, 2012, and Group 2 relates to members who joined the Plan as of January 1, 2013. Each group has a distinct contribution rate.

The 2018-2019 expense amounts to $48,546 thousand ($47,801 thousand in 2017-2018). For Group 1 members, the expense represents approximately 1.01 times (1.01 times in 2017-2018) the employee contributions and, for Group 2 members, approximately 1.00 times (1.00 times in 2017-2018) the employee contributions.

The agency's responsibility with regard to the Plan is limited to its contributions. Actuarial surpluses or deficiencies are recognized in the Consolidated Financial Statements of the Government of Canada, as the Plan's sponsor.

b) Severance benefits

Severance benefits provided to the agency's employees were previously based on an employee's eligibility, years of service and salary at termination of employment. However, since 2011 the accumulation of severance benefits for voluntary departures progressively ceased for substantially all employees. Employees subject to these changes were given the option to be paid the full or partial value of benefits earned to date or collect the full or remaining value of benefits upon departure from the public service. By March 31, 2019, substantially all settlements for immediate cash out were completed. Severance benefits are unfunded and, consequently, the outstanding obligation will be paid from future authorities.

The changes in the obligations during the year were as follows:

Severance benefits
	(in thousands of dollars)
	2019	2018
Accrued benefit obligation - Beginning of year	22,852	21,710
Expense or adjustment for the year	-1,308	4,077
Benefits paid during the year	-2,264	-2,935
Accrued benefit obligation - End of year	19,280	22,852

8. Accounts receivable and advances

The following table presents details of the agency's accounts receivable and advances balances:

Accounts receivable and advances
	(in thousands of dollars)
	2019	2018
Receivables - Other federal government departments and agencies	1,153	2,307
Receivables - External parties	5,987	6,409
Employees advances	178	165
Subtotal	7,318	8,881
Allowance for doubtful accounts on receivables from external parties	-2	-222
Net accounts receivable and advances	7,316	8,659

9. Tangible capital assets

Amortization of tangible capital assets is done on a straight-line basis over the estimated useful life of the asset as follows:

Amortization period of tangible capital assets
Asset class	Amortization period
Computer hardware	5 years
Computer software	5 years
Other equipment	5 years
Motor vehicles	7 years
Leasehold improvements	25 years
Assets under construction	Once in service
Software under development	Once in service
Assets under capital leases	Term of lease

Assets under construction and software assets under development are recorded in the applicable asset class in the year that they are put into service and are not amortized until they are put into service.

Tangible capital assets
Capital Asset Class	Cost					Accumulated Amortization					Net Book Value
	Opening Balance	Acquisitions	Disposals and Write-Offs	Adjustments^{Footnote 1}	Closing Balance	Opening Balance	Amortization	Disposals and Write-Offs	Adjustments^{Footnote 1}	Closing Balance	2019	2018
	(in thousands of dollars)
Computer hardware	3,127	179	-48	-172	3,086	2,999	49	-48	-172	2,828	258	128
Computer software	285,878	526	-5,483	48,774	329,695	209,501	25,628	-5,407	0	229,722	99,973	76,377
Other equipment	4,067	399	-87	132	4,511	2,329	522	-87	37	2,801	1,710	1,738
Motor vehicles	2,697	115	0	0	2,812	1,884	301	0	0	2,185	627	813
Leasehold improvements	22,355	779	0	744	23,878	7,539	895	0	0	8,434	15,444	14,816
Assets under construction	744	54	0	-744	54	0	0	0	0	0	54	744
Software under development	61,693	33,994	0	-48,774	46,913	0	0	0	0	0	46,913	61,693
Assets under capital leases	110	0	0	0	110	81	23	0	0	104	6	29
Total	380,671	36,046	-5,618	-40	411,059	224,333	27,418	-5,542	-135	246,074	164,985	156,338
Footnote 1 Included in adjustments are the following: software assets under development of $48,774 thousand that were transferred to computer software upon completion of the assets; assets under construction of $744 thousand that were transferred to leasehold improvements upon completion of construction; computer hardware with a net book value of $1 which was transferred to Public Services and Procurement Canada; equipment with a net book value of $95 thousand which was transferred to the agency from Canada Revenue Agency. Return to the first footnote 1 referrer

10. Contractual obligations and contractual rights

a) Contractual obligations

The nature of the agency's activities may result in some large multi-year contracts and obligations whereby the agency will be obligated to make future payments when the services/goods are received. Significant contractual obligations that can be reasonably estimated are summarized as follows:

Contractual obligations
	(in thousands of dollars)
	2020	2021	2022	2023	2024 and subsequent	Total
Acquisition of goods and services	4,610	10,582	2,573	0	0	17,765
Total	4,610	10,582	2,573	0	0	17,765

b) Contractual rights

The activities of the agency sometimes involve the negotiation of contracts or agreements with outside parties that result in the agency having rights to both assets and revenues in the future. They involve sales of goods and services. Major contractual rights that will generate revenues in future years and that can be reasonably estimated are summarized as follows:

Contractual rights
	(in thousands of dollars)
	2020	2021	2022	2023	2024 and subsequent	Total
Sales of goods and services	2,981	479	0	0	0	3,460
Total	2,981	479	0	0	0	3,460

11. Contingent liabilities and contingent assets

a) Contingent liabilities

Contingent liabilities arise in the normal course of operations and their ultimate disposition is unknown.

Claims and litigations

The agency records an allowance for claims and litigations where it is likely that there will be a future payment and a reasonable estimate of the loss can be made. In 2018-2019, the agency did not have any contingent liabilities.

b) Contingent assets

The agency discloses contingent assets that are likely to be realized. In 2018-2019, the agency did not have any contingent assets.

12. Related party transactions

The agency is related as a result of common ownership to all government departments, agencies, and Crown corporations. Related parties also include individuals who are members of key management personnel or close family members of those individuals, and entities controlled by, or under shared control of, a member of key management personnel or a close family member of that individual.

The agency enters into transactions with these entities in the normal course of business and on normal trade terms.

a) Common services provided without charge by other federal government departments

During the year, the agency received services without charge from certain common service organizations related to accommodation, the employer's contribution to the health and dental insurance plans and workers' compensation coverage. These services provided without charge have been recorded at the carrying value in the agency's Statement of Operations and Departmental Net Financial Position as follows:

Common services provided without charge by other federal government departments
	(in thousands of dollars)
	2019	2018
Accommodation	35,973	36,605
Employer's contribution to the health and dental insurance plans	38,458	44,754
Worker's compensation	76	88
Total	74,507	81,447

The Government has centralized some of its administrative activities for efficiency, cost-effectiveness purposes and economic delivery of programs to the public. As a result, the Government uses central agencies and common service organizations so that one department performs services for all other departments and agencies without charge. The costs of these services, such as the payroll and cheque issuance services provided by Public Services and Procurement Canada and audit services provided by the Office of the Auditor General are not included in the agency's Statement of Operations and Departmental Net Financial Position.

b) Other transactions with other federal government departments and agencies

Other transactions with other federal government departments and agencies
	(in thousands of dollars)
	2019	2018
Accounts receivable	1,153	2,307
Accounts payable	9,323	11,759
Expenses	16,189	17,935
Revenues	102,004	94,770

Expenses and revenues disclosed in (b) exclude common services provided without charge, which are already disclosed in (a).

13. Segmented information

Presentation by segment is based on the agency's core responsibilities. The presentation by segment is based on the same accounting policies as described in the Summary of significant accounting policies in note 2. The following table presents the expenses incurred and revenues generated for the main core responsibilities, by major object of expense and by major type of revenue. The segment results for the period are as follows:

Segmented information
	(in thousands of dollars)
	Statistical Information	Internal services	2019 Total	2018 Total
Transfer payments
Grant to the Organisation for Economic Co-operation and Development	100	0	100	100
Total transfer payments	100	0	100	100
Operating expenses
Salaries and employee benefits	497,722	56,744	554,466	578,016
Accommodation	28,776	7,197	35,973	36,605
Professional and special services	24,342	9,574	33,916	34,205
Transportation and postage	16,927	1,867	18,794	15,307
Amortization	26,721	697	27,418	24,998
Repairs and maintenance	317	182	499	342
Materials and supplies	3,105	1,387	4,492	10,364
Rentals	11,763	942	12,705	11,280
Communication and printing	994	19	1,013	571
Loss on write-offs of assets	76	0	76	108
Bad debts	80	0	80	3
Other	17	-1	16	100
Total operating expenses	610,840	78,608	689,448	711,899
Total expenses	610,940	78,608	689,548	711,999
Revenues
Special statistical services	143,882	0	143,882	129,915
Other revenues	80	0	80	111
Revenues earned on behalf of Government	-20,418	0	-20,418	-18,543
Total revenues	123,544	0	123,544	111,483
Net cost from continuing operations	487,396	78,608	566,004	600,516

14. Comparative information

With the introduction of the new Treasury Board Secretariat Policy on Results, the reporting structure has changed from the previous Program Alignment Architecture to the new Departmental Results Framework. As a result, expenses for 2017-18 and 2018-19 could not be prepared on the same basis. The 2017-18 expenses are presented by Program in accordance with the previous Program Alignment Architecture, whereas expenses for 2018-19 are presented by core responsibility in accordance with the new Departmental Results Framework.

Annex to the Statement of Management Responsibility Including Internal Control over Financial Reporting of Statistics Canada for Fiscal Year 2018-2019 (Unaudited)

1. Introduction

This document provides summary information on the measures taken by Statistics Canada to maintain an effective system of internal control over financial reporting (ICFR), including information on internal control management, assessment results and related action plans.

Detailed information on the agency's authority, mandate and core responsibilities can be found in the Departmental Plan for the 2019-2020 fiscal year and the Departmental Results Report for the 2018-2019 fiscal year.

2. Departmental system of internal control over financial reporting

2.1 Internal control management

Statistics Canada has a well-established governance and accountability structure to support departmental assessment efforts and oversight of its system of internal control.

A departmental internal control management framework, approved by the Chief Statistician and the Chief Financial Officer (CFO), is in place and includes:

organizational accountability structures as they relate to internal control management to support sound financial management, including roles and responsibilities of senior managers in their areas of responsibility for control management;
values and ethics considerations;
ongoing communication and training on statutory requirements, and policies and procedures for sound financial management and control; and
regular updates to and monitoring, on at least a semi-annual basis, of internal control management as well as the provision of related assessment results and action plans to the Chief Statistician, senior departmental management and the Departmental Audit Committee (DAC).

The DAC provides advice to the Chief Statistician on the adequacy and effectiveness of the agency's risk management, control and governance frameworks and processes.

2.2 Service arrangements relevant to financial statements

Statistics Canada relies on other organizations for the processing of certain transactions that are recorded in its financial statements, as follows:

2.2.1 Common arrangements

Public Services and Procurement Canada (PSPC), which administers the payment of salaries and the procurement of goods and services, and provides accommodation services;
Shared Services Canada (SSC), which provides information technology (IT) infrastructure services to the agency;
The Department of Justice Canada, which provides legal services;
Treasury Board of Canada Secretariat, which provides information on public service insurance and centrally administers payment of the employer's share of contribution toward statutory employee benefit plans.

2.2.2 Specific arrangements

Public Services and Procurement Canada provides Statistics Canada with the Common Departmental Financial System (CDFS) platform to capture and report financial transactions.

Readers of this annex may refer to the annexes of the above-noted departments for a greater understanding of the systems of internal control over financial reporting related to these specific services.

3. Departmental assessment results during fiscal year 2018-2019

The following table summarizes the status of the ongoing monitoring activities according to the previous fiscal year's rotational plan.

Progress during the 2018-2019 fiscal year
Previous fiscal year's rotational ongoing monitoring plan for current fiscal year	Status
IT general controls under agency management controls, operating expenditures, financial close and reporting, and payroll and benefits	Completed as planned; no remedial actions required
Budgeting and planning, and direct and precise monitoring controls	Completed as planned; remedial actions started

In the 2018-2019 fiscal year, Statistics Canada conducted a fraud risk assessment in addition to the progress made in ongoing monitoring.

The key findings and adjustments required from the current fiscal year's assessment activities are summarized in subsection 3.1.

3.1 New or significantly amended key controls

In the current year, there were no new or significantly amended key controls in existing processes which required a reassessment.

3.2 Ongoing monitoring program

As part of its ongoing rotational monitoring plan, the agency completed its reassessment of direct and precise monitoring controls, IT general controls (ITGCs), and the financial controls within the business processes of budget and planning, financial close and reporting, operating expenditures, and payroll and benefits. For the most part, the key controls that were tested performed as intended.

4. Departmental action plan for the next fiscal year and subsequent fiscal years

Statistics Canada's ongoing rotational monitoring plan over the next three fiscal years, based on an annual validation of the high-risk processes and controls and related adjustments to the ongoing monitoring plan as required, is shown in the following table.

Ongoing rotational monitoring plan^{Footnote *}
Key control areas	2019-2020 fiscal year	2020-2021 fiscal year	2021-2022 fiscal year
Entity-level controls		X
Direct and precise monitoring	X	X	X
IT general controls under agency management	X	X	X
Budgeting and Planning		X
Capital assets	X		X
Census payroll	X	X
Financial close and reporting	X	X	X
Interviewers' payroll	X		X
Operating expenditures		X
Revenues	X		X
Payroll and benefits	X	X	X
Footnote * The length of the ongoing monitoring plan is at the discretion of the agency and will depend on how often the agency conducts its risk-based assessment. For example, a plan could cover a one-, three- or five-year cycle. A three-year cycle is presented for illustrative purposes. Statistics Canada is in the last year of its ongoing rotational monitoring plan, and as such is conducting its risk-based assessment in the summer of 2019-2020. Therefore, the ongoing rotational monitoring plan above may be adjusted based on the results of this risk assessment. Return to footnote * referrer

In addition to the ongoing monitoring rotational plan, the agency plans to conduct additional design and operating effectiveness testing in 2019-2020 over anti-fraud controls identified in the fraud risk assessment. Further, the agency plans to conduct risk assessments on the following new financial management business processes in line with the policy on internal controls over financial management:

Budgeting
Forecasting
Costing
Investment planning
Cabinet submission including CFO attestation.

Ongoing follow-ups will be performed on the previous years' testing recommendations. In addition, the business process narratives will be updated and design and implementation testing will be performed as required. The services of an external consultant have been retained to provide independent, objective advice and to help complete the ongoing monitoring plan.

Quarterly Survey of Financial Statements - Segregated Funds (F3)

Reporting entity

1. Indicate which type of corporation this report covers.

A single corporation
Part of a corporation
A consolidated family of corporations
Other (specify)

2. Is the reporting entity part of a Canadian consolidation?

3. Does this reporting entity have investments in partnerships or joint ventures?

4. Indicate the accounting standard used to complete this questionnaire.

International Financial Reporting Standards (IFRS)
Accounting Standards for Private Enterprises (ASPE)
United States Generally Accepted Accounting Principles (U.S. GAAP)
Other (specify)

5. Indicate the currency used to complete this survey.

Canadian dollars
U.S. dollars

6. What are the start and end dates of this enterprise's reporting period for the quarter ending:

From: YYYY-MM-DD to YYYY-MM-DD

Assets

7. Report your assets

Cash and deposits – Canadian currency
Cash and deposits – foreign currency
Accounts receivable
Allowance for credit losses on receivables
Canadian investments in non-affiliates - debt securities issued by the Government of Canada
1. Term-to-maturity of less than one year
2. Term-to-maturity of one year or more
Canadian investments in non-affiliates - debt securities issued by provincial and municipal governments
1. Term-to-maturity of less than one year
2. Term-to-maturity of one year or more
Canadian investments in non-affiliates - debt securities issued by corporations, trusts or others
1. Term-to-maturity of less than one year
2. Term-to-maturity of one year or more
Canadian investments in non-affiliates - corporate shares, fund or trust units and other equity
1. Publicly traded
2. Other equity
Canadian investments in non-affiliates - other investments
Foreign investments in non-affiliates - debt securities
1. Term-to-maturity of less than one year
2. Term-to-maturity of one year or more
Foreign investments in non-affiliates - other investments
Derivative assets
Reverse repurchase agreements
Mortgage loans to non-affiliates - secured by property in Canada
1. Residential
2. Non-Residential
Mortgage loans to non-affiliates - secured by property outside Canada
Mortgage loans to non-affiliates - accumulated allowance for credit losses
Fixed assets
1. Investment properties
2. Accumulated depreciation
All other assets
- Specify all major items within other assets

Total assets

Liabilities and surplus

8. Report your liabilities.

Accounts payable
Derivative liabilities
Obligations related to repurchase agreements
All other liabilities
- Specify all major items within other liabilities
Liabilities to policyholders
1. RRSP funds
2. Other funds

Total liabilities

9. Report your surplus.

Surplus
1. Opening balance
2. Net income (loss) for the current period
3. Other additions (deductions)
  - Specify all major items within other additions (deductions)
4. Allocation of net investment income to policyholder
Total liabilities and surplus

Closing balance

Revenue, expenses and net income

10. What period does this income statement cover?

From: YYYY-MM-DD to YYYY-MM-DD

11. Report your revenue.

Interest revenue from Canadian sources
1. Debt securities
2. Mortgages
3. Other interest revenue
Interest revenue from foreign sources
Dividends
1. From Canadian corporations
2. From foreign corporations
Rental revenue
Gains and losses - fair value adjustments
1. Realized
2. Unrealized
Gains and losses - foreign exchange
1. Realized
2. Unrealized
All other revenues
- Specify all major items within other revenues

Total revenue

12. Report your expenses.

Management fees
Dealer compensation expense
Sales tax (HST) expense
Software, research and development
Depreciation
Impairments
All other expenses
- Specify all major items within other expenses
Net income

Total expenses

Disclosure of selected accounts

13. Allocate the changes to selected assets and liabilities.

Canadian and foreign investments in non-affiliates - debt securities
1. Initial balance
2. Net (purchases-sales or issuances-repayments and other changes)
3. Fair value adjustments and foreign exchange valuation adjustments
4. Other adjustments
  - Closing balance
5. Realized gains and losses
Canadian and foreign investments in non-affiliates - corporate shares, fund or trust units and other equity
1. Initial balance
2. Net (purchases-sales or issuances-repayments and other changes)
3. Fair value adjustments and foreign exchange valuation adjustments
4. Other adjustments
  - Closing balance
5. Realized gains and losses
Canadian and foreign investments in non-affiliates - other investments in non-affiliates
1. Initial balance
2. Net (purchases-sales or issuances-repayments and other changes)
3. Fair value adjustments and foreign exchange valuation adjustments
4. Other adjustments
  - Closing balance
5. Realized gains and losses
Mortgage loans - to non-affiliates
1. Initial balance
2. Net (purchases-sales or issuances-repayments and other changes)
3. Fair value adjustments and foreign exchange valuation adjustments
4. Other adjustments
  - Closing balance
5. Realized gains and losses
Fixed assets - investment properties
1. Initial balance
2. Net (purchases-sales or issuances-repayments and other changes)
3. Fair value adjustments and foreign exchange valuation adjustments
4. Other adjustments
  - Closing balance
5. Realized gains and losses
Other assets
1. Initial balance
2. Net (purchases-sales or issuances-repayments and other changes)
3. Fair value adjustments and foreign exchange valuation adjustments
4. Other adjustments
  1. Closing balance
5. Realized gains and losses
Liabilities
1. Initial balance
2. Net (purchases-sales or issuances-repayments and other changes)
3. Fair value adjustments and foreign exchange valuation adjustments
4. Other adjustments
  - Closing balance
5. Realized gains and losses
Derivatives (assets and liabilities)
1. Initial balance
2. Net (purchases-sales or issuances-repayments and other changes)
3. Fair value adjustments and foreign exchange valuation adjustments
4. Other adjustments
  - Closing balance
5. Realized gains and losses

Fertilizer Shipments Survey – Canadian Producers

Why do we conduct this survey?

This survey is conducted on behalf of Fertilizer Canada and Agriculture and Agri-Food Canada, to produce statistics on shipments of fertilizer in Canada by manufacturers, wholesale distributors and major retail distributors. This information is essential to support Canada's international reporting obligations of inventory of greenhouse gas emissions.

Your information may also be used by Statistics Canada for other statistical and research purposes.

Your participation in this survey is required under the authority of the Statistics Act.

Other important information

Authorization to collect this information

Data are collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.

Confidentiality

By law, Statistics Canada is prohibited from releasing any information it collects that could identify any person, business, or organization, unless consent has been given by the respondent, or as permitted by the Statistics Act. Statistics Canada will use the information from this survey for statistical purposes only.

Record linkages

To enhance the data from this survey and to reduce the reporting burden, Statistics Canada may combine the acquired data with information from other surveys or from administrative sources.

Data-sharing agreements

To reduce respondent burden, Statistics Canada has entered into data-sharing agreements with provincial and territorial statistical agencies and other government organizations, which have agreed to keep the data confidential and use them only for statistical purposes. Statistics Canada will only share data from this survey with those organizations that have demonstrated a requirement to use the data.

Section 11 of the Statistics Act provides for the sharing of information with provincial and territorial statistical agencies that meet certain conditions. These agencies must have the legislative authority to collect the same information, on a mandatory basis, and the legislation must provide substantially the same provisions for confidentiality and penalties for disclosure of confidential information as the Statistics Act. Because these agencies have the legal authority to compel businesses to provide the same information, consent is not requested and businesses may not object to the sharing of the data.

For this survey, there are Section 11 agreements with the provincial statistical agencies of Newfoundland and Labrador, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia. The shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province.

Mandatory participation

Given the important uses of its results, participation in the Fertilizer Shipments Survey is required by law.

Business or organization and contact information

1. Verify or provide the business or organization's legal and operating name and correct where needed.

Note: Legal name modifications should only be done to correct a spelling error or typo.

Legal Name
The legal name is one recognized by law, thus it is the name liable for pursuit or for debts incurred by the business or organization. In the case of a corporation, it is the legal name as fixed by its charter or the statute by which the corporation was created.

Modifications to the legal name should only be done to correct a spelling error or typo.

To indicate a legal name of another legal entity you should instead indicate it in question 3 by selecting 'Not currently operational' and then choosing the applicable reason and providing the legal name of this other entity along with any other requested information.

Operating Name
The operating name is a name the business or organization is commonly known as if different from its legal name. The operating name is synonymous with trade name.

Legal name
Operating name (if applicable)

2. Verify or provide the contact information of the designated business or organization contact person for this questionnaire and correct where needed.

Note: The designated contact person is the person who should receive this questionnaire. The designated contact person may not always be the one who actually completes the questionnaire.

First name
Last name
Title
Preferred language of communication
- English
- French
Mailing address (number and street)
City
Province, territory or state
Postal code or ZIP code
Country
- Canada
- United States
Email address
Telephone number (including area code)
Extension number (if applicable)
Fax number (including area code)

3. Verify or provide the current operational status of the business or organization identified by the legal and operating name above.

Operational
Not currently operational
Why is this business or organization not currently operational?
- Seasonal operations
  - When did this business or organization close for the season?
    - Date
  - When does this business or organization expect to resume operations?
    - Date
- Ceased operations
  - When did this business or organization cease operations?
    - Date
  - Why did this business or organization cease operations?
    - Bankruptcy
    - Liquidation
    - Dissolution
    - Other - Specify the other reasons for ceased operations
- Sold operations
  - When was this business or organization sold?
    - Date
  - What is the legal name of the buyer?
- Amalgamated with other businesses or organizations
  - When did this business or organization amalgamate?
    - Date
  - What is the legal name of the resulting or continuing business or organization?
  - What are the legal names of the other amalgamated businesses or organizations?
- Temporarily inactive but will re-open
  - When did this business or organization become temporarily inactive?
    - Date
  - When does this business or organization expect to resume operations?
    - Date
  - Why is this business or organization temporarily inactive?
- No longer operating due to other reasons
  - When did this business or organization cease operations?
    - Date
  - Why did this business or organization cease operations?

4. Verify or provide the current main activity of the business or organization identified by the legal and operating name above.

Note: The described activity was assigned using the North American Industry Classification System (NAICS).

This question verifies the business or organization's current main activity as classified by the North American Industry Classification System (NAICS). The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, Mexico and the United States. Created against the background of the North American Free Trade Agreement, it is designed to provide common definitions of the industrial structure of the three countries and a common statistical framework to facilitate the analysis of the three economies. NAICS is based on supply-side or production-oriented principles, to ensure that industrial data, classified to NAICS, are suitable for the analysis of production-related issues such as industrial performance.

The target entity for which NAICS is designed are businesses and other organizations engaged in the production of goods and services. They include farms, incorporated and unincorporated businesses and government business enterprises. They also include government institutions and agencies engaged in the production of marketed and non-marketed services, as well as organizations such as professional associations and unions and charitable or non-profit organizations and the employees of households.

The associated NAICS should reflect those activities conducted by the business or organizational units targeted by this questionnaire only, as identified in the 'Answering this questionnaire' section and which can be identified by the specified legal and operating name. The main activity is the activity which most defines the targeted business or organization's main purpose or reason for existence. For a business or organization that is for-profit, it is normally the activity that generates the majority of the revenue for the entity.

The NAICS classification contains a limited number of activity classifications; the associated classification might be applicable for this business or organization even if it is not exactly how you would describe this business or organization's main activity.

Please note that any modifications to the main activity through your response to this question might not necessarily be reflected prior to the transmitting of subsequent questionnaires and as a result they may not contain this updated information.

The following is the detailed description including any applicable examples or exclusions for the classification currently associated with this business or organization.

Description and examples

This is the current main activity.
This is not the current main activity.

Please provide a brief but precise description of this business or organization's main activity.

e.g., breakfast cereal manufacturing, shoe store, software development

Main activity

5. You indicated that " … " is not the current main activity.

Was this business or organization's main activity ever classified as: " … " ?

Yes
When did the main activity change?
Date
No

6. Please search and select the industry classification code that best corresponds to this business or organization's main activity.

Select this business or organization's activity sector (optional)

Farming or logging operation
Construction company or general contractor
Manufacturer
Wholesaler
Retailer
Provider of passenger or freight transportation
Provider of investment, savings or insurance products
Real estate agency, real estate brokerage or leasing company
Provider of professional, scientific or technical services
Provider of health care or social services
Restaurant, bar, hotel, motel or other lodging establishment
Other sector

Reporting instructions

Shipments to Canadian agricultural markets and total agricultural and industrial shipments to US and offshore markets

Reporting instructions:

report all shipments to the province of final destination (as best as can be determined by province)
no conversions are required. Report shipments in the form and concentration delivered to purchasers. Note that the detailed product list is for reporting purposes only - the information will be grouped later for publication of: Ammonia, Urea, AN / CAN, AS, MAP, DAP, Potash and Other.
report numbers to the nearest ton/tonne e.g., 123,456.

Include shipments of all product that this business produced or imported which this business physically transferred (either sold or consigned) from "reference period":

to this business's Canadian customers for agricultural use (exchanges shipped to a non-reporting trade partner in Canada)
to this business's own Retail outlets
to this business's US and offshore customers regardless of end use — report all exports (agricultural and industrial) shipped outside Canada
to this business's own US warehouses.

Include:

all domestic products from other Canadian Producers not listed below
all imported fertilizer products that your company ships into Canada in the month it is shipped to the province of final destination
products on an Importer of Record basis, and products imported through a brokerage.

Exclude:

domestic industrial or lawn and garden sales (as best as can be determined)
micronutrients e.g., copper, zinc, magnesium, boron
feed grade urea, feed phosphate or nitric acid.

Exclude shipments to the following Canadian companies.

This will avoid double reporting of the same products and ensure collection of shipments to final destination.

(Specific list for each company)

Market inventories

Inventory definition:

Inventory includes your entire available product in Canada at month end, regardless of whose warehouse it is located in.

Reporting instructions:

no conversions are required
report inventories in the form and concentration stored. Note that the detailed product list is for reporting purposes only
the information will be grouped later for publication of: Ammonia, Urea, AN / CAN, AS, MAP, DAP, Potash and Other
report numbers to the nearest ton/tonne e.g., 123,456.

Include all on-site and Canadian off-site warehouse inventories.

Exclude:

retail site inventories; report only product held in terminal/warehouse intended for sale to retailers
tolled product (another company's product which is temporarily stored in your warehouse - warehouse tolling)
micronutrients e.g., copper, zinc, magnesium, boron
feed grade urea, feed phosphate or nitric acid.

Production

Production definition:

Production includes the producing of basic compounds of ammonia and derivatives of ammonia and urea.

Include:

all monthly Canadian production
gross production to be reported including all product used in the manufacture of downstream products, e.g., NH3 used for urea production, agricultural urea liquor for urea and UAN production
synthesis urea, AN solution, AN melt & EGAN (AN) consumed in the production of UAN and other products.

Exclude:

micronutrients e.g., copper, zinc, magnesium, boron
feed grade urea, feed phosphate or nitric acid.

Reporting instructions:

no conversions are required
report production in the form and concentration produced. Note that the detailed product list is for reporting purposes only - the information will be grouped later for publication of: Ammonia, Urea, AN / CAN, AS, MAP, DAP, Potash and Other
report numbers to the nearest ton/tonne e.g., 123,456.

Method of collection

1. Indicate whether you will be answering the remaining questions or attaching files with the required information.

Answering the remaining questions
Attaching files

Attach files

2. Please attach the files that will provide the information required for the Fertilizer Shipments Survey.

To attach files

Press the Attach files button
Choose the file to attach. Multiple files can be attached

Note:

Each file attached must not exceed 5 MB
All attachments combined must not exceed 50 MB.
The name and size of each file attached will be displayed on the page.

Fertilizer shipments - companies

3. Did this business ship any fertilizer products to companies from "reference period"?

Note: Press the help button (?) for reporting instructions and additional information on an Importer of Record.

Unit of measure

4. What unit of measure will be used throughout the questionnaire?

Metric tonnes
Short tons

Fertilizer shipments - destinations

5. To which of the following destinations did this business ship fertilizer from "reference period"?

Include shipments to Canadian agricultural markets and total agricultural and industrial shipments to US and offshore markets.

Exclude shipments to reporting companies.

For the purposes of this survey, British Columbia is the area of British Columbia located south of Highway #16. Peace River, British Columbia is the portion of the Peace River block that is located north of Highway #16, of which sales should be included in Alberta.

Select all that apply.

Atlantic region → Go to question 8
Quebec → Go to question 10
Ontario → Go to question 12
Manitoba → Go to question 14
Saskatchewan → Go to question 16
Alberta and Peace River, British Columbia → Go to question 18
British Columbia → Go to question 20
United States of America → Go to question 22
Offshore → Go to question 24

Fertilizer shipments

6. Which of the following fertilizer products did this business ship from "reference period"?

Include:

products on an Importer of Record basis, and products imported through a brokerage
all products shipped for agricultural use.

Select all that apply.

Aqua Ammonia (NH3)
Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3)
Analysis (N-P-K-S): 82-0-0-0
Urea
Analysis (N-P-K-S): 46-0-0
ESN
Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN)
Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN)
Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN)
Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP)
Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP)
Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate
Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate
Analysis (N-P-K-S): 11-37-0-0
Potash
Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate
Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG)
Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS)
Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS)
Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate
Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur
Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur
Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate
Analysis (N-P-K-S): 16-20-0-14
Other - Include ammonium polyphosphate, phosphate and sulphur solutions, mixed fertilizer materials, elemental sulphur fertilizers and all other fertilizer products not individually listed.

7. Please provide the details for the other fertilizer products this business shipped from "reference period".

Other fertilizer products include ammonium polyphosphate, phosphate and sulphur solutions, mixed fertilizer materials, elemental sulphur fertilizers and all other fertilizer products not individually listed.

Other 1 (maximum of 15 other fertilizers)

Name
Nitrogen (N)
Phosphate (P)
Potassium (K)
Sulphur (S)

8. Please report fertilizer shipments that this business made to the Atlantic region from "reference period".

The other fertilizer products will be reported in the next question.

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

9. Please report shipments of other fertilizer products that this business made to the Atlantic region from "reference period".

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

10. Please report fertilizer shipments that this business made to Quebec from "reference period".

The other fertilizer products will be reported in the next question.

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2(metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

11. Please report shipments of other fertilizer products that this business made to Quebec from "reference period".

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

12. Please report fertilizer shipments that this business made to Ontario from "reference period".

The other fertilizer products will be reported in the next question.

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2(metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

13. Please report shipments of other fertilizer products that this business made to Ontario from "reference period".

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

14. Please report fertilizer shipments that this business made to Manitoba from "reference period".

The other fertilizer products will be reported in the next question.

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2(metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

15. Please report shipments of other fertilizer products that this business made to Manitoba from "reference period".

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

16. Please report fertilizer shipments that this business made to Saskatchewan from "reference period".

The other fertilizer products will be reported in the next question.

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2(metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

17. Please report shipments of other fertilizer products that this business made to Saskatchewan from "reference period".

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

18. Please report fertilizer shipments that this business made to Alberta and Peace River, British Columbia from "reference period".

The other fertilizer products will be reported in the next question.

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2(metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

19. Please report shipments of other fertilizer products that this business made to Alberta and Peace River, British Columbia from "reference period".

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

20. Please report fertilizer shipments that this business made to British Columbia from "reference period".

The other fertilizer products will be reported in the next question.

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2(metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

21. Please report shipments of other fertilizer products that this business made to British Columbia from "reference period".

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

22. Please report fertilizer shipments that this business made to the United States of America from "reference period".

The other fertilizer products will be reported in the next question.

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2(metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

23. Please report shipments of other fertilizer products that this business made to the United States of America from "reference period".

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

24. Please report fertilizer shipments that this business made to offshore regions from "reference period".

The other fertilizer products will be reported in the next question.

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2(metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

25. Please report shipments of other fertilizer products that this business made to offshore regions from "reference period".

Exclude shipments to reporting companies.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

Fertilizer inventory

26. In which of the following locations did this business store fertilizer as inventory from "reference period"?

Inventory includes your entire physically existing product in Canada at month end, regardless of whose warehouse it is located in.

Select all that apply.

West
Manitoba, Saskatchewan, Alberta and British Columbia → Go to question 29
East
Ontario, Quebec and Atlantic provinces → Go to question 31

27. Which of the following fertilizer products did this business store as inventory from "reference period"?

Inventory includes your entire physically existing product in Canada at month end, regardless of whose warehouse it is located in.

Include all on-site and Canadian off-site warehouse inventories.

Exclude:

micronutrients e.g., copper, zinc, magnesium, boron
feed grade urea, feed phosphate or nitric acid.

Select all that apply.

Aqua Ammonia (NH3)
Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3)
Analysis (N-P-K-S): 82-0-0-0
Urea
Analysis (N-P-K-S): 46-0-0
ESN
Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN)
Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN)
Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN)
Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP)
Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP)
Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate
Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate
Analysis (N-P-K-S): 11-37-0-0
Potash
Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate
Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG)
Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS)
Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS)
Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate
Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur
Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur
Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate
Analysis (N-P-K-S): 16-20-0-14
Other - Include ammonium polyphosphate, phosphate and sulphur solutions, mixed fertilizer materials, elemental sulphur fertilizers and all other fertilizer products not individually listed.

28. Please provide the details for the other fertilizer products this business stored as inventory from "reference period".

Other fertilizer products include ammonium polyphosphate, phosphate and sulphur solutions, mixed fertilizer materials, elemental sulphur fertilizers and all other fertilizer products not individually listed.

Other 1 (maximum of 15 other fertilizers)

Name
Nitrogen (N)
Phosphate (P)
Potassium (K)
Sulphur (S)

29. Please report the quantity of fertilizer stored as inventory in the Western region on the last day of the month.

The other fertilizer products will be reported in the next question.

Inventory includes your entire physically existing product in Canada at month end, regardless of whose warehouse it is located in.

Exclude:

micronutrients e.g., copper, zinc, magnesium, boron
feed grade urea, feed phosphate or nitric acid.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

30. Please report the quantity of other fertilizer products stored as inventory in the Western region on the last day of the month.

Report all on-site and Canadian off-site warehouse inventories.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

31. Please report the quantity of fertilizer stored as inventory in the Eastern region on the last day of the month.

The other fertilizer products will be reported in the next question.

Inventory includes your entire physically existing product in Canada at month end, regardless of whose warehouse it is located in.

Exclude:

micronutrients e.g., copper, zinc, magnesium, boron
feed grade urea, feed phosphate or nitric acid.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

32. Please report the quantity of other fertilizer products stored as inventory in the Eastern region on the last day of the month.

Report all on-site and Canadian off-site warehouse inventories.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

Fertilizer production

33. Which of the following fertilizer products did this business produce from "reference period?

Include gross production to be reported including all product used in the manufacture of downstream products, e.g., NH3 used for urea production, agricultural urea liquor for urea and UAN production.

Production includes the producing of basic compounds of ammonia and derivatives of ammonia and urea.

Report production in the form and concentration produced.

Select all that apply.

Aqua Ammonia (NH3)
Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3)
Analysis (N-P-K-S): 82-0-0-0
Urea
Analysis (N-P-K-S): 46-0-0
ESN
Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN)
Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN)
Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN)
Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP)
Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP)
Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate
Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate
Analysis (N-P-K-S): 11-37-0-0
Potash
Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate
Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG)
Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS)
Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS)
Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate
Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur
Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur
Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate
Analysis (N-P-K-S): 16-20-0-14
Other - Include ammonium polyphosphate, phosphate and sulphur solutions, mixed fertilizer materials, elemental sulphur fertilizers and all other fertilizer products not individually listed.

34. Please provide the details for the other fertilizer products this business produced from "reference period".

Other 1 (maximum of 15 other)

Name
Nitrogen (N)
Phosphate (P)
Potassium (K)
Sulphur (S)

35. Please report fertilizer production from "reference period".

The other fertilizer products will be reported in the next question.

Production includes the producing of basic compounds of ammonia and derivatives of ammonia and urea.

Report production in the form and concentration produced.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Aqua Ammonia (NH3) Analysis (N-P-K-S): 24-0-0
Anhydrous Ammonia (NH3) Analysis (N-P-K-S): 82-0-0-0
Urea Analysis (N-P-K-S): 46-0-0
ESN Analysis (N-P-K-S): 44-0-0
Ammonium Nitrate (AN / CAN) Analysis (N-P-K-S): 34-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 28-0-0-0
Nitrogen Solutions (UAN) Analysis (N-P-K-S): 32-0-0-0
Monoammonium Phosphate (MAP) Analysis (N-P-K-S): 11-52-0-0
Diammonium Phosphate (DAP) Analysis (N-P-K-S): 18-46-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 10-34-0-0
Ammonium Polyphosphate Analysis (N-P-K-S): 11-37-0-0
Potash Analysis (N-P-K-S): 0-0-60/62-0
Potassium Sulphate Analysis (N-P-K-S): 0-0-50-18
Potassium Magnesium Sulphate (KMAG) Analysis (N-P-K-S): 0-0-22-22
Ammonium Sulphate (AS) Analysis (N-P-K-S): 21-0-0-24
Ammonium Sulphate (AS) Analysis (N-P-K-S): 20-0-0-24
Ammonium Thiosulphate Analysis (N-P-K-S): 15-0-0-20
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-90
Elemental Sulphur Analysis (N-P-K-S): 0-0-0-85
Ammonium Phosphate Sulphate Analysis (N-P-K-S): 16-20-0-14

36. Please report production of other fertilizer products from "reference period".

Production includes the producing of basic compounds of ammonia and derivatives of ammonia and urea.

Report production in the form and concentration produced.

Example
Product	quarterly surveys			annual survey
Product	Quantity of shipments in month 1 (metric tonnes or short tons)	Quantity of shipments in month 2 (metric tonnes or short tons)	Quantity of shipments in month 3 (metric tonnes or short tons)	Quantity of shipments from July 1 to June 30 (metric tonnes or short tons)
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):
Other (specify analysis): Analysis (N-P-K-S):

If « Urea - Analysis (N-P-K-S): 46-0-0 » was selected in question 33, go to question 37. Otherwise, go to question 38.

37. Gross urea production was previously reported. What was the net urea production from "reference period"?

Net (or solid) urea production is the amount of micro-granulated and agricultural urea produced.

Example
Product	quarterly surveys			annual survey
Product	Production in month 1 (metric tonnes or short tons)	Production in month 2 (metric tonnes or short tons)	Production in month 3 (metric tonnes or short tons)	Production in 20XX - 20XX (metric tonnes or short tons)
Urea Analysis (N-P-K-S): 46-0-0

Changes or events

38. Indicate any changes or events that affected the reported values for this business or organization compared with the last reporting period.

Select all that apply.

Strike or lock-out
Exchange rate impact
Price changes in goods or services sold
Contracting out
Organizational change
Price changes in labour or raw materials
Natural disaster
Recession
Change in product line
Sold business or business units
Expansion
New or lost contract
Plant closures
Acquisition of business or business units

No changes or events

Contact person

39. Statistics Canada may need to contact the person who completed this questionnaire for further information.

Is <Name of respondent> the best person to contact?

Who is the best person to contact about this questionnaire?

First name
Last name
Title
Email address
Telephone number (including area code)
Extension number (if applicable)
Fax number (including area code)

Feedback

41. How long did it take to complete this questionnaire?

Include the time spend gathering the necessary information.

Hours
Minutes

42. Do you have any comments about this questionnaire?

Enter your comments

Retail Trade Survey (Monthly): CVs for Total sales by geography - July 2019

CVs for Total sales by geography - July 2019
Table summary
This table displays the results of Annual Retail Trade Survey: CVs for Total sales by geography - July 2019. The information is grouped by Geography (appearing as row headers), Month and Percent (appearing as column headers).
Geography	Month
	201907
	Percent
Canada	0.7
Newfoundland and Labrador	1.4
Prince Edward Island	1.2
Nova Scotia	1.5
New Brunswick	1.4
Quebec	1.1
Ontario	1.7
Manitoba	0.9
Saskatchewan	2.2
Alberta	1.0
British Columbia	1.4
Yukon Territory	1.2
Northwest Territories	0.3
Nunavut	1.9

Wholesale Trade Survey (Monthly): CVs for Total sales by geography – July 2018 to July 2019

Monthly Wholesale Trade Survey - Table 1: CVs for Total sales by geography
Geography	Month
	201807	201808	201809	201810	201811	201812	201901	201902	201903	201904	201905	201906	201907
	percentage
Canada	0.7	0.7	0.7	0.6	0.5	0.7	0.8	0.6	0.5	0.6	0.6	0.6	0.7
Newfoundland and Labrador	0.5	0.3	0.2	0.5	0.4	0.3	0.6	0.5	0.2	0.4	0.5	0.1	0.3
Prince Edward Island	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
Nova Scotia	1.8	1.9	2.4	2.5	1.8	5.4	4.6	2.3	2.0	2.9	1.9	1.8	1.5
New Brunswick	2.0	4.9	3.0	2.4	3.3	1.3	1.1	0.8	1.1	1.0	1.4	2.4	1.5
Quebec	1.9	1.9	1.8	1.3	1.5	1.3	1.9	1.3	1.5	1.7	1.4	1.5	1.6
Ontario	0.9	1.0	0.9	0.9	0.8	1.1	1.3	0.9	0.8	0.9	1.0	0.9	1.1
Manitoba	1.0	1.1	0.9	2.1	1.4	2.0	1.2	0.6	0.9	0.9	3.4	0.7	0.9
Saskatchewan	0.7	0.6	0.4	0.8	0.5	0.9	0.6	0.3	0.3	0.3	0.7	0.6	0.8
Alberta	1.7	1.7	2.1	1.4	1.7	1.6	1.0	1.2	1.1	1.2	1.4	0.9	0.9
British Columbia	2.3	1.4	1.8	1.6	1.4	1.7	2.2	1.4	1.0	1.3	1.4	1.2	1.6
Yukon Territory	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
Northwest Territories	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
Nunavut	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0

Administrative data sources in the research and production of official statistics – Prices and price indexes

Consumer price indexes

Consumer price indexes

Insurance rates

Statistics Canada uses the following insurance rate data:

passenger vehicle insurance rates
homeowners' home insurance rates.

The following statistical program uses these data for statistical and research purposes only:

Consumer Price Index

Personal information is not included in these data.

Retail scanner data

Statistics Canada uses the following retail scanner data:

retail sales; prices and volumes.

Statistical programs using these data for statistical and research purposes only:

Personal information is not included in these data.

Cellular service rates

Statistics Canada uses the following cellular service rate data:

Cellular plan and rate data

The following statistical program uses these data for statistical and research purposes only:

Consumer Price Index

Personal information is not included in these data.

Subscribe to

Date modified:: 2025-07-28

Distributions of household economic accounts (DHEA) (001-2019)

Evaluating the Information Content in the Business Outlook Survey (002-2019)

The impact of Intellectual Property on the Canadian Economy (003-2019)

LASS 2016 to Census 2016, Census 2011 and NHS 2011 Linkage (004-2019)

Linkage of the National Dose Registry to cancer and mortality outcomes, an update (005-2019)

Municipal Wastewater Systems in Canada (MWSC): Environment and Climate Change Canada (ECCC) Effluent Regulatory Reporting Information System (ERRIS) linkage to Census Data (006-2019)

Adding Gender to the Corporations Returns Act (CRA) database (007-2019)

Between and within-firm earnings inequality in Canada (008-2019)

Indian Register linked to tax data, (Longitudinal Indian Register Database (LIRD)) (009-2019)

2016 Census of Population linkage to income tax files and benefits records to monitor tax filing behaviour and take-up rate of various benefit programs (011-2019)

The Longitudinal Administrative Databank (LAD) linked to the Discharge Abstract Database (DAD) (012-2019)

The Canadian Cancer Trials Group (CCTG) Long-Term Innovative Follow-up Extension (LIFE) study (013-2019)

Temporary foreign workers in the agricultural sector (014-2019)

Assessing disparities in perinatal health among Canadian women. (016-2019)

Linkage of Atlantic Indigenous Businesses to the Linkable File Environment (017-2019)

Linkage of Nova Scotia NSBI (cohort_2018)) Businesses to the Linkable File Environment (018-2019)

Canadian Census Health and Environment Cohorts (CanCHEC): Linkages of the 1991, 1996, 2001, 2006 and 2016 censuses of population and the 2011 National Household Survey to Mortality, Cancer, Hospital Administrative Files, and T1 Family File. (019-2019)

Microdata Linkage for the Canadian Fishing Fleet Cost and Earnings Study (020-2019)

Linkage of the 2002 Canadian Community Health Survey – Mental Health and Well-being – Canadian Forces (CCHS-CF) to the 2018 Canadian Armed Forces Members and Veterans Mental Health Follow-up Survey (CAFVMHS) (021-2019)

Socioeconomic and Ethnocultural Disparities in Perinatal Health in Canada: Current Pattern and Changes Over Time (023-2019)

Linkage of the Canadian Housing Survey to historical income information, information on social and affordable housing, measures on proximity to services and measures on income dispersion in communities (024-2019)

Linkage of Labour Force Survey with Longitudinal Workers File (025-2019)

The Economic and Environmental Impacts of Voluntary Energy Conservation Programs: Evidence from the Canadian Industry Program for Energy Conservation (026-2019)

Linkage of Agriculture Taxation Data Program (ATDP) farm operator and farm family income (027-2019)

Linkage of the Survey of Early Learning and Child Care Arrangements (SELCCA) to the 2016 Census of Population, the 2017 T1Family File, 2018 Canadian Child Benefit File and the Longitudinal Immigration Database. (028-2019)

Elections Canada Data Quality Confirmation Study of the National Register of Electors (029-2019)

The Educational Pathways and Postsecondary School-to-Work Transitions Of Marginalized Youth In Ontario And Across Canada (030-2019)

Digital Technologies, Firm Performance and Human Capital (031-2019)

British Columbia Income Assistance Data Linkage Project (032-2019)

Canadian Income Survey Plus (033-2019)

Characteristics of Firms that Hire Temporary Foreign Workers: A Case Study of Meat Products Manufacturing and Fish and Seafood Product Industries. (035-2019)

Linkage of Canadian Space Agency data to the Linkable File Environment (036-2019)

Census shelter residents linkage project (037-2019)

The out-of-pocket burden of cancer care for patients and survivors in Canada (038-2019)

Receipt of disability benefits by Canadian adults with disabilities: a longitudinal study using linked data from the 2017 Canadian Survey on Disability (CSD) with historical income statistics from T1 Family File (039-2019)

British Columbia Basic Income Project: The Potential Impact of a Basic Income on Child Outcomes (040-2019)

Feasibility study for identifying persons living in shelters using administrative data (041-2019)

Multi-use proposal for the 2016 Census long-form and the Longitudinal Administrative Databank (LAD) linkage project. (042-2019)

The Role of Firms in the Integration and Impact of Immigrants and Temporary Residents in Canada (043-2019)

Linkage of power generation enterprises to the Longitudinal Employment Analysis Program (LEAP) (044-2019)

Health of children and youth

Vaccination data

Statement of Management Responsibility Including Internal Control over Financial Reporting

Notes to the Financial Statements (Unaudited) For the Year Ended March 31

1. Authority and objectives

2. Summary of significant accounting policies

(a) Parliamentary authorities

(b) Net cash provided by Government

(c) Amounts due from or to the CRF

(d) Revenues

(e) Expenses

(f) Employee future benefits

(g) Accounts receivable

(h) Non-financial assets

(i) Contingent liabilities

(j) Contingent assets

(k) Transactions involving foreign currencies

(l) Measurement uncertainty

(m) Related party transactions

3. Parliamentary authorities

(a) Reconciliation of net cost of operations to current year authorities used

(b) Authorities provided and used

4. Accounts payable and accrued liabilities

5. Deferred revenue

6. Lease obligation for tangible capital assets

7. Employee future benefits

a) Pension benefits

b) Severance benefits

8. Accounts receivable and advances

9. Tangible capital assets

10. Contractual obligations and contractual rights

a) Contractual obligations

b) Contractual rights

11. Contingent liabilities and contingent assets

a) Contingent liabilities

Claims and litigations

b) Contingent assets

12. Related party transactions

a) Common services provided without charge by other federal government departments

b) Other transactions with other federal government departments and agencies

Notes to the Financial Statements (Unaudited)
For the Year Ended March 31