Evaluation of the Census of Agriculture and Innovation in the Agriculture Statistics Program

Evaluation Report

March 2020

The report in short

The Agriculture Statistics Program (ASP) is comprised of an integrated set of components including crop and livestock surveys, farm economic statistics, agri-environmental statistics, tax and other administrative data, research and analysis, remote sensing and the Census of Agriculture (CEAG). The statistical information produced by the CEAG is unique in its ability to provide a comprehensive snapshot of the industry and its people, as well as small area data, both of which are instrumental not only to the agricultural industry, but also for meeting the data requirements of environmental programs, health programs, trade and crisis management. ASP statistical information is used by a wide range of organizations, including different levels of government, not-for-profit and private organizations, academic institutions, and individual Canadians.

This evaluation was conducted by Statistics Canada in accordance with the Treasury Board Secretariat's Policy on Results (2016) and Statistics Canada's Risk-Based Audit and Evaluation Plan (2019/2020 to 2023/2024). The main objective of the evaluation was to provide a neutral, evidence-based assessment of the 2016 CEAG dissemination strategy, and of the design and delivery of the CEAG migration to the Integrated Business Statistics Program (IBSP). The evaluation also assessed projects in the broader ASP, with a focus on projects supporting Statistics Canada's modernization initiative.

The evaluation methodology consisted of a document review, administrative reviews and key informant interviews with Statistics Canada professionals working in the Agriculture Division, and other relevant divisions. Additionally, interviews were conducted with key users and partners external to Statistics Canada. The triangulation of these data collection methods was used to arrive at the overall evaluation findings.

Key findings and recommendations

Census of Agriculture dissemination strategy

CEAG data are used by a wide range of organizations to understand and monitor trends, formulate advice on policies and programs, and address requests from stakeholders. The majority of interviewees were satisfied with the dissemination of the 2016 CEAG and noted it was an improvement over 2011. Data tables were identified as the most used product while other products were relevant but less useful. In terms of timeliness, interviewees were satisfied with the release of the first set of tables (farm operator data - one year after Census Day); however, the timeframe for releasing the remaining two sets of data tables affected their usefulness (2.5 years after Census Day for the last data table release with socioeconomic data). They also noted that there were gaps in cross-analysis with non-agricultural sectors and in emerging sectors. Finally, web tools were not being used because of a lack of guidance on how to use them and how to interpret the data.

The Assistant Chief Statistician (ACS), Economic Statistics (Field 5), should ensure that:

Recommendation 1

For the 2021 CEAG, the Agriculture Division explore ways to improve the timeliness of the last two sets of data tables (historical data, and socio-economic data) and increase cross-analysis with non-agricultural sectors.

Recommendation 2

Web tools include guidance on how to use them and how to interpret data from them. A proactive approach to launching new tools should be taken. Webinars were identified as an effective channel and the use of other channels would allow for even a wider coverage.

Census of Agriculture migration to the Integrated Business Statistics Program

The CEAG migration to the IBSP was proceeding as planned at the time of the evaluation. The transition phase was complete and the integration phase was well underway. Governance structures were in place and deliverables and schedules were being managed effectively. Efforts to resolve issues, such as those related to compatibilities between the Collection Management Portal (CMP) and the IBSP, and the availability of tools and capacity to support data quality assessments, were continuing. The start of the production phase will bring additional risks as new resources become involved and time pressures increase.

The ACS, Field 5, should ensure that:

Recommendation 3

Unresolved issues for the migration to the IBSP, including incompatibilities between the IBSP and the CMP as well as the IBSP processing capacity, are addressed prior to the production phase.

Recommendation 4

Significant risks during the production phase, particularly with regard to data quality assessments and the exercising of roles and responsibilities, are monitored and mitigated.

Projects supporting the modernization initiative

All five projects reviewed were aligned with the modernization pillars and expected results. Most of the projects focussed on increasing the use of data from alternative sources and integrating data. The evaluation found that while governance structures existed and regular monitoring was taking place, project management practices could be strengthened. For example, clearly defined measurable outcomes were often missing, best practices were not being systematically documented, shared or leveraged, and risk management was ad-hoc in some cases. Project management is perceived to be time and resource consuming in an environment focussed on expediency.

The ACS, Field 5, should ensure that:

Recommendation 5

Planning processes for future projects falling outside the scope of the Departmental Project Management FrameworkFootnote 1 include an initial assessment that takes into account elements such as risk, materiality, public visibility and interdependencies. The assessment should then be used to determine the appropriate level of oversight and project management.

Recommendation 6

Processes and tools for documenting and sharing of best practices are implemented and lessons learned from other organizations (internal and external) are leveraged.

What is covered

The evaluation was conducted in accordance with the Treasury Board Secretariat's Policy on Results (2016) and Statistics Canada's Integrated Risk-Based Audit and Evaluation Plan (2019/2020 to 2023/2024). In support of decision making, accountability, and improvement, the main objective of the evaluation was to provide a neutral, evidence-based assessment of the 2016 Census of Agriculture (CEAG) dissemination strategy, and of the design and delivery of the CEAG migration to the Integrated Business Statistics Program (IBSP)Footnote 2. The evaluation also assessed projects in the broader Agriculture Statistics Program (ASP), with a focus on projects supporting Statistics Canada's modernization initiative.

The Agriculture Statistics Program

The mandate of the ASP is to provide economic and social statistics pertaining to the characteristics and performance of the Canadian agriculture sector and its people. It aligns with section 22 of the Statistics Act, which stipulates that Statistics Canada shall "collect, compile, analyse, abstract and publish statistics in relation to all or any of the following matters in Canada: (a) population, (b) agriculture." It also aligns with section 20Footnote 3 of the Statistics Act, which requires Statistics Canada to conduct a CEAG. A CEAG has been conducted nationally and concurrently with the Census of Population since 1951Footnote 4.

According to the ASP Performance Information Profile, the ASP provides data to support and evaluate the fulfillment of requirements or objectives contained in other legislation such as the Farm Products Agencies Act, the Agricultural Products Marketing Act, and the Pest Control Products Act. The ASP also supplies the Canadian System of Macroeconomic Accounts with data required under the Federal-Provincial Fiscal Arrangements Regulations and the International Monetary Fund's Special Data Dissemination Standard.

The ASP includes an integrated set of components that includes crop and livestock surveys, farm economic statistics, agri-environmental statistics, tax and other administrative data, research and analysis, remote sensing and, the CEAG.

The Census of Agriculture

The CEAG collects data on the state of all agricultural operations in CanadaFootnote 5 including: farms, ranches, dairies, greenhouses, and orchards. The information is used to develop a statistical portrait of Canada's farms and agricultural operators. Typically, data are collected on: size of agricultural operation, land tenure, land use, crop area harvested, irrigation, livestock numbers, labour, and other agricultural inputs. Its "whole farm" approach to capturing data directly from agricultural producers provides a comprehensive count of the major commodities of the industry and its people, and a range of information on emerging crops, farm finances, and uses of technologies in agricultural operations.

The objectives of the CEAG are

  • to maintain an accurate and complete list of all farms and types of farms for the purpose of ensuring optimal survey sampling - at the lowest cost and response burden - through categorization of farms by type and sizeFootnote 6
  • to provide comprehensive agriculture information for detailed geographic areas such as counties - information for which there is no other source and that is critical to formulating and monitoring programs and policies related to the environment, health, and crisis management for all levels of government
  • to provide measurement of rare or emerging commodities, which is essential for disease control and trade issues
  • to provide critical input for managing federal and provincial government expenditures in the agriculture sector.

The Agriculture Division of the Agriculture, Energy and Environment Statistics Branch is responsible for the ASP. The division has many long-standing strategic partnerships with key stakeholders and data users, including federal departments and agencies, provincial and territorial agriculture ministries, local and regional governments, farmers' associations, the agriculture industry, universities, and researchers. The division has established forums to obtain feedback on emerging issues and needs. These include the Advisory Committee on Agriculture and Agri-Food Statistics and the Federal-Provincial-Territorial Committee on Agriculture Statistics. Internal governance bodies such as the CEAG Steering Committee are also in place to help direct and monitor implementation.

The Evaluation

The scope of the evaluation was established based on meetings and interviews with divisions involved in the ASP. The following areas were identified for review:

Evaluation issues, Evaluation questions
Evaluation issues Evaluation questions
2016 CEAG dissemination strategy To what extent did the 2016 CEAG dissemination strategy address the needs of key users in the following areas?
  • Timeframe of releases (i.e., for all releases, between each release)
  • Coverage and level of detail
  • Types and formats of products
  • Cross-analysis with non-agricultural sectors
  • Access to data
Design and delivery: CEAG migration to the IBSP To what extent are governance structures for collection and processing (migration to the IBSP) designed to contribute to an effective and efficient delivery of the 2021 CEAG?
ASP projectsFootnote 7 supporting the modernization initiative To what extent are there effective governance, planning and project management practices in place to support modernization projects within the ASP?

Guided by a utilization-focused evaluation approach, the following quantitative and qualitative collection methods were used:

 
Administrative reviews

Review of ASP administrative data on activities, outputs and results.

 
Document review

Review of internal agency strategic documents.

Key informant interviews (external) n=28

Semi-structured interviews with key users from federal departments, provincial and local governments, farm associations, private sector organizations and research institutions.

Key informant interviews (internal) n=14

Semi-structured interviews with individuals working in the Agriculture Division and partner divisions.

Four main limitations were identified, and mitigation strategies were employed:

Limitations, Mitigation strategies
Limitations Mitigation strategies
Because of the large number of users and partners using data, the perspectives gathered through external interviews may not be fully representative. External interviewees were selected using specific criteria to maximize a strategic reach for the interviews. Different types of organizations from a wide range of locations across Canada, and that use CEAG data extensively were selected. Evaluators were able to find consistent overall patterns.
Key informant interviews have the possibility of self-reported bias, which occurs when individuals who are reporting on their own activities portray themselves in a more positive light. By seeking information from a maximized circle of stakeholders involved in the ASP, including the CEAG migration to the IBSP (e.g. the main groups involved, multiple levels within groups), evaluators were able to find consistent overall patterns.
Limited documentation was available on the projects sampled for the evaluation. Key staff working on ASP projects were interviewed and a strategy to gather additional documents during the interview sessions was put in place. Additional interviews were conducted, as needed, to fill the gaps.
The scope of the evaluation related to innovation reflected only a select number of topics (i.e., alignment, project management) rather than the full spectrum of factors which may have an impact. The evaluation methodology was conducted in such a way that other topics related to innovation could be identified and considered.

What we learned

1.1 2016 Census of Agriculture dissemination strategy

Evaluation question

To what extent did the 2016 CEAG dissemination strategy address the needs of key users in the following areas?

  • Timeframe of releases (i.e., for all releases, between each release)
  • Coverage and level of detail
  • Types and formats of products
  • Cross-analysis with non-agricultural sectors
  • Access to data

Summary

To inform the 2021 CEAG dissemination strategy the evaluation assessed the extent to which the 2016 dissemination strategy addressed the needs of key users in different areas. The majority of users considered the 2016 CEAG an improvement compared with the 2011 CEAG and were satisfied with the overall approach taken. However, the evaluation found some areas for improvement, particularly with regard to the timeframe of releases, coverage, and guidance on web tools.

Census of Agriculture data are used for multiple purposes with data tables being the product of choice

CEAG data are used by organizations to portray the agriculture sector in their jurisdiction or sector of the economy. For provincial government departments, their portrait allows them to understand trends within their province and to compare them with other jurisdictions. Subprovincial data are also available for analysis of smaller geographic areas. For farm associations, data allow them to monitor trends within their area of interest. Overall, CEAG statistical information is used for identifying and monitoring trends, providing advice on policies and programs, addressing requests or questions from various stakeholders, and informing internal or public communications.

A large majority of external interviewees mentioned that, in general, the 2016 CEAG products and statistical information shed light on the issues that were important for their organization. The evaluation found that the data tables from Statistics Canada's website were the products of greatest utility to users. In particular, the Farm and Farm Operator Data tables were identified as the products most used. This was especially true for organizations that had internal capacities to conduct their own analysis. The analytical products and The Daily releases were identified as being less useful, but still relevant since they provided a different and objective perspective on specific topics. This was true for other products as well (e.g., maps, infographics) - interviewees responded that they used them only occasionally or rarely but still believed they were useful. Finally, a number of provincial users also mentioned that they received a file containing CEAG statistical information, which helped facilitate their ability to conduct their own analyses.

Table 1: Use of Census of Agriculture products
Products Extensively Occasionally Rarely Don't know
Data tables from the website 17 6 1 0
The Daily releases 9 5 10 0
Boundary files 7 6 11 0
Analytical products 5 12 7 0
Thematic maps 4 8 12 0
Infographics 3 9 12 0
Dynamic web application 3 6 14 1

Besides CEAG statistical information, a majority of users mentioned that they consulted additional sources of information, either from Statistics Canada or other national and international organizations, to fill gaps. This included information on commodity prices, imports and exports of agricultural products, land values, and interest rates. Users consulted international sources to compare data with other countries (e.g., United States and Australia) or to assess global market demand for certain agricultural commodities (e.g., livestock, crops, etc.).

Historical and socioeconomic data tables wanted sooner

Three data table releases took place for the 2016 CEAG: Farm and Farm Operator Data (May 10, 2017 - one year after Census Day); select historical data (December 11, 2017 – approximately one and a half years after Census Day); and a socioeconomic portrait of the farm population (November 27, 2018 – approximately two and a half years after Census Day). It should be noted that the tool used to create the socioeconomic portrait of the farm population was not part of the original scope for the 2016 CEAG but was added later - thus the reason for the relatively late release.

The majority of interviewees believed the time lapse to receive the first set of data tables was satisfactory given the quality of information they received. While they would have welcomed an earlier release, they recognized the level of effort required to produce the information and felt the time lapse was reasonable given the quality of information they received. However, overall, interviewees believed that the time lapse between Census Day and the final data table releases, specifically for the socioeconomic tables, affected the usefulness of the statistical information. In particular, organizations developing policies or programs targeting young farmers, specific population groups, or educational advancements would have benefited from timelier data.

Figure 1: Dissemination schedule (refer to Appendix B for additional details)

May 10, 2016

Launch of the 2016 Cencus of Agriculture and the 2016 Census of Population.

May 10, 2017

The first set of products for the 2016 CEAG - including a Daily release, farm and farm operator data (47 data tables), provincial and territorial trends (11 analytical products) and provincial reference maps (34 maps).

May - June 2017

A series of weekly analytical articles were released covering different topics, including an infographic titled 150 Years of Canadian Agriculture.

September - November 2017

A boundary file and analytical products were released.

December 11, 2017

Select historical data were released.

December 2017 – April 2018

A number of maps along with an analytical article were released.

November 27, 2018

The Agricultural Stats Hub, a dynamic web application, was released as well as a Daily article, 13 data tables and 3 infographics. The application provided a socioeconomic overview of the farm population by linking agricultural and population data.

December 2018 – March 2019

A number of analytical articles were released

July 3, 2019

Last release from the 2016 CEAG

Table 2: Satisfaction with releases
How satisfied are you with the following? Satisfied Somewhat satisfied Not satisfied Unsure
Time lapse between Census Day and first release 15 5 3 1
Time lapse between each release 13 5 2 4
Time lapse between Census Day and release of all data 6 11 4 3

Some interest in preliminary estimates, so long as differences are small

Users were asked about the possibility of releasing preliminary estimates for specific high-level variables. The estimates would differ from the final data released, however no specific examples of variables were provided to interviewees for consideration.

Half of the interviewees were not interested, with a large proportion advising against it. Several explained that the release of preliminary estimates would create confusion within their organizations and they would be required to explain the differences between the preliminary and final data. Most interviewees noted that any policy decision-making and trend analysis would continue to be based solely on final data.

Those who were either "very interested" or "slightly interested" indicated that the difference between the estimates and the final data would need to be small, otherwise they would prefer the status quo.

Some gaps remain

The Agriculture Division has several mechanisms in place to identify information gaps including: regular pre-census cycle consultations, the Federal-Provincial-Territorial Committee on Agriculture Statistics, the Advisory Committee on Agriculture Statistics, and engagement with national farm organizations. Based on these mechanisms, the CEAG builds on the content approved for the previous cycle to better address new and emerging agricultural activities. In addition, projects recently implemented by the Agriculture Division, particularly the Agriculture-Zero project, have filled several gaps (e.g., temporary foreign workers data).

The majority of interviewees were satisfied with the diversity of topics and themes covered. However, a number of information gaps were identified, particularly regarding emerging operations and fast-growing sectors such as organic farming. Additional statistical information and further analysis were also identified related to farm succession, labour (e.g., foreign and contract workers), pesticide use, and new land use categories (e.g., loss of land to urbanization). Additional variables covered over time (i.e., historical data) was also identified as a need. Finally, all interviewees wanted more granular data, although they recognized there are limitations related to confidentiality.

Table 3: Coverage
How satisfied are you with the following? Satisfied Somewhat satisfied Not satisfied Unsure
Types of agricultural operations covered 15 9 0 0
Number of topics or themes covered in each release 15 5 0 4
Cross-analysis with other topics and other agricultural surveys 10 7 2 5

Interviewees also wanted additional cross-cutting analysis between the agricultural sector and other sectors. For the 2016 CEAG, analysis with non-agricultural data, such as technology, innovation, and socioeconomic issues was provided to users. This approach was highly regarded by those interviewed - but they wanted more. Evidence suggests that there is a growing appetite for cross-cutting analysis in areas such as technology, farm profitability, demographic shifts, transportation, and the environment.

Increased guidance on tools is needed

Two web tools were released for the 2016 CEAG: boundary files and the Agriculture Stats Hub. The evaluation found relatively low use of these two products when compared with other products such as data tables. Although some interviewees used the boundary files, the majority rarely did. Similarly, few interviewees used the Agriculture Stats Hub. A lack of guidance on how to use the tools and how to interpret the data were noted as key impediments. The lengthy timeframe for releasing socioeconomic data, which included the Agriculture Stats Hub, was also identified as a factor that limited the use of the Hub.

Although the use of existing web tools for the 2016 CEAG was somewhat limited, a majority of interviewees were interested in having additional web-based tools, such as interactive maps, custom table building, and query tools, which would allow for the increased customization of products. As data tables were the product most used, tools attached to the tables would greatly benefit users. However, guidance and support must accompany the tools, and a more active approach to launching the tools would be recommended.

More prominent communication of methodological information would be useful

Although methodological information is generally available, some interviewees noted that it would be useful to have it more prominently displayed in the products that are released, either in The Daily or as footnotes in the data tables. For example, since definitions used by Statistics Canada may differ from definitions used by farmer associations (e.g., how farm operator counts are calculated), information to explain the differences would be helpful.

Users were aware of releases, and data were accessible

The evaluation found a high level of satisfaction with the accessibility of statistical information even though Statistics Canada's website was identified as being a challenge. A high level of satisfaction was also reported for any custom data received. Interviewees were highly satisfied with the time lapse between first contact with Statistics Canada and the delivery of the product, the quality of the product, and the level of detail provided.

In terms of awareness of releases, the majority of interviewees stated that they were informed far enough in advance and were satisfied with the channels used. Most interviewees identified reminder emails as the most effective channel for being kept informed about releases.

Table 4: Notification of releases
Best way to be informed of releases Number of Respondents
Reminder emails 20
Calendar invites 7
Webinars 5
Social media posts 3

In addition, those who participated in webinars were very satisfied since the webinars provided additional information on the data available and major trends observed. Webinars were identified as opportunities to raise awareness of the products and data that will be available and to facilitate interpretation of the data and the use of the web tools.

1.2 Design and delivery: Census of Agriculture migration to the Integrated Business Statistics Program

Evaluation question

To what extent are governance structures for collection and processing (migration to the IBSP) designed to contribute to an effective and efficient delivery of the 2021 CEAG?

Summary

The evaluation assessed whether the governance structures associated with the CEAG's migration to the IBSP - including roles and responsibilities, interdependencies, and project management practices - will contribute to an effective and efficient delivery of the 2021 CEAG. The evaluation found some areas of risk that could have a negative impact on the delivery of the 2021 CEAG.

Migrating the Census of Agriculture to the Integrated Business Statistics Program is expected to create benefits

At the time of the evaluation, the Agriculture Division had already successfully migrated all of its surveys to the IBSP. The last component to be migrated is the CEAG; migration work began in fiscal year 2018/2019 and is expected to continue until fiscal year 2022/2023. The IBSP migrations are conducted in three phases: transition (defining program-specific requirements), integration (development and testing activities), and production (collection and processing tasks are implemented through the IBSP).

Because of its five-year cycle, the CEAG is considered an ever-migrating component to the IBSP. Similar to the divisional surveys that have already been migrated, it is expected that migration of the CEAG to the IBSP will create specific benefits for the CEAG:

  • reduced number of systems for collection, processing and storage through the adoption of common tools and statistical methods
  • facilitated integration and harmonization of data with all programs in the IBSP, including agriculture surveys
  • increased corporate support for systems, particularly when significant changes occur (e.g., cloud technology)
  • a more targeted approach for collection (i.e., follow-up operations) through the IBSP's Quality Indicators and Measures of Impact (QIMI) feature.

Roles and responsibilities are a risk during the production phase

For previous CEAG cycles, the Agriculture Division was responsible for designing, planning, implementing, and managing all required tasks, such as content determination, collection, processingFootnote 8, data quality assessmentFootnote 9, and dissemination. The migration to the IBSP for the 2021 cycle will change the governance of collection and processing tasks (and associated roles and responsibilities) because the Enterprise Statistics Division (ESD) is responsible for managing the IBSP.Footnote 10

The shift of processing responsibilities to ESD affect the CEAG team since it will now act only in an advisory capacity for this task, rather than being fully responsible for it. The same structures for the overall management of the CEAG will remain within the Agriculture Division while the migration to the IBSP brings in governance structures already established within ESD.Footnote 11

The evaluation found that the early part of the transition phase was challenging for the CEAG team as they were not familiar with the implications of migrating the processing activities to a different system run by another division. The CEAG's management team and ESD were key in resolving early challenges in the transition. In particular, both groups showed leadership in explaining potential benefits and impacts of the migration while ensuring that roles and responsibilities were well communicated and understood. Governance structures are also adequate. The leadership demonstrated during the transition phase facilitated the start of the second phase of the project – the integration phase.

The evaluation found that there are concerns regarding roles and responsibilities during the production phase as new individuals, such as subject-matter experts within the Agriculture Division and the IBSP production team within ESD, become involved while others leave the project as the integration phase ends. Based on previous survey migrations to the IBSP, the roles and responsibilities during the production phase are typically less clear than during previous phases. To help with this, a good practice identified during interviews is the involvement of production staff during the integration phase to help build continuity and understanding – this took place when the surveys conducted by the ASP were migrated to the IBSP. With the CEAG, most of the divisional staff participating in the integration phase are also part of the team for the production phase.

ESD's Change Management Committee, which is responsible for the triage of required changes, will be involved during the production phase. Consideration of escalation processes is required when multiple committees (i.e., the CEAG Steering Committee, the IBSP Project Management Team and the Change Management Committee) are involved in the decision-making process, particularly during crunch periods typically observed in the production phase. Although the change management process has been defined and cross-membership within committees and working groups was identified as a mitigating factor, the risk of ineffective and inefficient decision-making because of an increased number of governing bodies remains.

Deliverables and associated schedules are well-managed

The migration of the CEAG to the IBSP is managed by the existing working groups. So far, for the transition and integration phases, effective practices were in place to manage deliverables, associated schedules, and outstanding issues. The transition phase, led by ESD in collaboration with the Agriculture Division, worked as planned. Activities for the integration phase, which were being implemented at the time of the evaluation, were also working as planned. The current IBSP integration schedule is seen as robust and includes the first set of processing activities. The schedule for the production phase is in place and is reviewed and updated regularly. While deliverables, schedules, and outstanding issues are being managed effectively, the differentiation between outstanding issues and risks inherent to the migration, particularly for the production phase, have yet to be clearly articulated.

In addition to the IBSP migration schedules, two other schedules come into play. As collection for the 2021 Census of Population and the 2021 CEAG are conducted in parallel, the Census of Population schedule is a crucial element for the development and implementation of the CEAG's internal schedule. All three schedules have varying levels of flexibility: the Census of Population schedule is inflexible and the CEAG schedule is flexible while the IBSP, given its focus on collection and processing, is considered to be moderately flexible. The Agriculture Division is the main conduit for the alignment of all schedules. Requirements from the Census of Population schedule are assessed on a continuous basis and discussions are held with ESD, as needed, to modify the IBSP schedule and the CEAG schedule. At the time of the evaluation, no major changes to the schedules were required, but it is expected that shifts will occur during the production phase. JIRA, which is the system used for change management (e.g., outstanding issues, schedules, deliverables) by the CEAG, the IBSP, and the Census of Population is seen as an effective tool.

Incompatibilities between the Collection Management Portal and the Integrated Business Statistics Program to be resolved

A unique approach for data collection will be used for the 2021 CEAG - different from the one used for the 2016 CEAG and different from other Statistics Canada surveys that have migrated to the IBSP. For the 2016 CEAG, collection was under the responsibility of the Agriculture Division and took place through the Collection Management Portal (CMP) – a shared collection platform with the Census of Population. The CEAG team was responsible for monitoring collection and the management of follow-up operations. Because of synchronicity with the Census of Population, the CMP will continue to be used for CEAG collection in 2021.

Surveys under the IBSP (which are business-focused in nature) are typically collected through a different platform, the Business Collection Portal. New and unique linkages between the CMP and the IBSP need to be designed, tested, and operationalized for the 2021 CEAG collection operations. Links were still under development at the time of the evaluation. Although some functionalities are now operational, there is still development work to be done. For example, paradata from the CMP (e.g., information related to the collection process, such as attempts to contact someone, comments provided to an interviewer, completion rate) were not compatible with the IBSP at the time of the evaluation. Although work is being done to resolve the issue, the incompatibility of CMP paradata would disable the IBSP's QIMI feature, which allows for a targeted process for follow-up operations (i.e., prioritizing follow-up operations to target units that have the most effect on the data). QIMI is an effective tool used to support data quality, the 2021 CEAG data quality assessment strategy would need to be adapted should it not be available. There is a risk that some of the relationships between the CMP and the IBSP will not be fully developed or tested in time for the production phase.

Integrated Business Statistics Program processing capacity and available tools will affect data quality assessment activities

Data quality assessment activities will remain under the responsibility of the Agriculture Division. While the IBSP is designed for data collection and processing, it also includes features supporting data quality assessments, such as QIMI, rolling estimates, inclusion of non-response variances, and values attributed by imputation. However, given the volume of data with the CEAG, some validation processes will not be usable, and alternative tools outside the IBSP will need to be developed and tested. The use of alternative tools will require a reconfiguration of the data quality assessment strategy.

Although the generation of rolling estimates is seen as an important step to ensuring data quality, concerns were raised about the IBSP's processing capacity. In previous cycles, the CEAG team was able to impute, run, and analyze data at a higher rate than is currently possible under the IBSP. As data change from the generation of a rolling estimate and its completion, there is a concern that subject-matter experts will be validating outdated data. Although the IBSP's processing capacity has improved since the start of the CEAG migration and further improvements are expected, concerns remain.

Lessons learned from past migrations to the IBSP suggest that the level of effort required for data quality assessments is either similar to or greater than what is typical. A number of large surveys that have migrated to the IBSP in the past have encountered delays during the production phase because of challenges associated with the data quality assessment task.Footnote 12 At the time of the evaluation, the data quality assessment strategy was being developed.

Migration will benefit from an extended timeframe and experience

Migration activities started in fiscal year 2018/2019 and will continue until 2022/2023. Testing activities will also continue, as needed, during collection. The extended timeframe available for testing (because of the CEAG's five-year cycle) will allow for additional testing activitiesFootnote 13 (i.e., with simulated data, actual data from the 2016 CEAG, and data from content tests conducted in 2019). However, the production phase will be implemented with real 2021 data, with no options available for parallel testing.

Finally, since approximately 30 surveys from the Agriculture Division have already migrated to the IBSP, expertise has been built within the division and ESD. Knowledge gained from previous experience will contribute to the successful migration of the CEAG.

Additional pressures may affect the migration

A risk that could affect the CEAG's migration to the IBSP is the move to cloud technology. Although there are no specific scheduled implementation dates for Statistics Canada programs, any move of IBSP components to the cloud technology during the production phase, where most testing will have been completed, would affect the migration. At the time of the evaluation, this topic was still under discussion.

Another element that is noted for every CEAG cycle is the timeliness of content approval. Any changes to content will affect various elements, including the questionnaire and systems.

1.3 Agriculture Statistics Program projects supporting the modernization initiative

Evaluation question

To what extent are there effective governance, planning and project management practices in place to support modernization projects within the ASP?

Summary

The evaluation reviewed a sample of ongoing and completed projects undertaken within the ASP to examine their relationship to Statistics Canada's modernization pillars and expected resultsFootnote 14, and to identify areas for improvement regarding governance, planning and project managementFootnote 15 practices. The evaluation found that the projects were aligned with the modernization initiative and that governance is in place, but project management practices could be improved.Footnote 16

Projects are aligned with the modernization pillars and expected results

Statistics Canada's modernization initiative supports a vision for a data-driven society and economy. The modernization of Statistics Canada's workplace culture and its approach to collecting and producing statistics will result in "greater and faster access to needed statistical products for Canadians."Footnote 17 Five modernization pillars along with expected results have been articulated to guide the modernization initiative (Figure 2).

Figure 2: Statistics Canada modernization initiative

Figure 2: Statistics Canada modernization initiative
Description for Figure 2: Statistics Canada modernization initiative
The Vision: A Data-driven Society and Economy

Modernizing Statistics Canada's workplace culture and its approach to collecting and producing statistics will result in greater and faster access to needed statistical products for Canadians. Specifically, the initiative and its projects will:

  • Ensure more timely and responsive statistics – Ensuring Canadians have the data they need when they need it!
  • Provide leadership in stewardship of the Government of Canada's data asset: Improve and increase alignment and collaboration with counterparts at all levels of government as well as private sector and regulatory bodies to create a whole of government, integrated approach to collection, sharing, analysis and use of data
  • Raise the awareness of Statistics Canada's data and provide seamless access
  • Develop and release more granular statistics to ensure Canadians have the detailed information they need to make the best possible decisions.
The Pillars:

User-Centric Delivery Service:

  • Users have the information/data they need, when they need it, in the way they want to access it, with the tools and knowledge to make full use of it.
  • User-centric focus is embedded in Statistics Canada’s culture.

Leading-edge Methods and Data Integration:

  • Access to new or untapped data modify the role of surveys.
  • Greater reliance on modelling and integration capacity through R&D environment.

Statistical Capacity Building and Leadership:

  • Whole of government, integrated approach to collection, sharing, analysis and use of data.
  • Statistics Canada is the leader identifying, building and fostering savvy information and critical analysis skills beyond our own perimeters.

Sharing and Collaboration:

  • Program and services are delivered taking a coordinated approach with partners and stakeholders.
  • Partnerships allow for open sharing of data, expertise and best practices.
  • Barriers to accessing data are removed.

Modern Workforce and Flexible Workplace:

  • Organization is agile, flexible and responsive to client needs.
  • Have the talent and environment required to fulfill our current business needs and be open and nimble to continue to position ourselves for the future.
Expected Outcome

Modern and Flexible Operations: Reduced costs to industry, streamlined internal processes and improved efficiency/support of existing and new activities.

Most of the projects examined focus on increasing the use of administrative data and integrating data into centralized systems. The evaluation selected a sample of projects through an objective methodology using the following criteria: level of priority for the ASP, budget, expected impact (e.g., data users, respondents, data quality, and costs) and the perceived contribution to modernization. Additional criteria, such as length, start date, and project stage were also considered. Based on this methodology, five projects were selected:

  • The Agriculture-Zero (Ag-Zero) project is a 7-year project which received funding commencing fiscal year 2019/2020. It is designed to reduce response burden by replacing survey data with data from other sources. The purpose of AG-Zero is to undertake multiple pilot projects involving the acquisition and the extensive use of satellite imagery, scanner and other administrative data, and models to serve as inputs to the ASP in place of direct data collection from farmers. The project aims to reduce response burden on farmers to as close to zero as possible by 2026, while maintaining the amount and quality of information available.

    The project adopts a "collect once, use multiple times" approach. Administrative data will be used to directly replace survey data, to model estimates that are currently generated using survey data, and to produce value-added statistical products for stakeholders. Under the umbrella of Ag-Zero, a series of subprojects are planned to be implemented over the seven year periodFootnote 18; at the time of the evaluation, three had been initiated. The following two were selected for review:

    • Pig Traceability uses administrative data to model estimates of pig inventories and has the potential to replace biannual survey estimates with near real-time estimates. The source data are pig trace data collected under the Health of Animals Act.
    • In-season Weekly Yield Estimates uses a combination of satellite imagery, administrative data from crop insurance corporations, and modelling to create in-season estimates of crop yields and area.
  • The Agriculture Taxation Data Program (ATDP) is being redesigned to move from a survey-based to a census-based activity that uses tax records to estimate a range of financial variables including revenues, expenses, and income. The ATDP's redesign to a census-based activity will support replacement of financial data in the CEAG.
  • The Agriculture Data Integration (Ag-DI) project will integrate agriculture commodity surveys that require processing outside the IBSP into the existing Farm Income and Prices Section Data Integration (FIPS-DI) system. The system will combine data from over 100 sources to produce aggregate integrated data for the System of National Accounts. The project will involve the integration of a multitude of spreadsheets and other systems into one common divisional tool. The project will also update the formulas in FIPS-DI to accept the naming convention used by the IBSP or other data sources loaded directly to FIPS-DI. It is expected that cross-analysis between data-sets will be facilitated, particularly when the CEAG will be migrated to the IBSP.
Table 5: Overview of the innovative projects selected, and alignment with modernization pillars
Project Timeframe Alignment with modernization pillars
Ag-Zero
Budget - $ 2.8M
Start: 2019/2020
Length: 7 years
Stage: Planning

Leading-edge methods & data integration: This project involves the use of new sources of data and new methods for collecting data. Extensive use of modelling, machine learning, and data integration are also featured.

Sharing and collaboration: A key element of this project involves the establishment and maintenance of mutually beneficial partnerships with other federal departments and industry associations.

User-centric service delivery: This project is expected to yield improvements in data quality and timeliness of data releases, as well as offer opportunities for new products.

Pig Traceability (AG-Zero sub-project) Start: 2018/2019
Length: 1 to 3 years
Stage: Execution
In-Season Weekly Yield Estimates(AG-Zero sub-project) Start: 2019/2020
Length: 1 to 3 years
Stage: Initiation
Redesign of the ATDP
Budget - $ 1M (approx.)Footnote 19
Start: 2015/2016
Length: 3 to 5 years
Stage: Close-out

User-centric service delivery: Consultations were held with Agriculture and Agri-Food Canada (AAFC) on priorities for the project. AAFC is the primary client and sponsor of the project.

Leading-edge methods and data integration: This project relied heavily on modelling and the integration of agriculture data (CEAG) and tax data.

Ag-DI
Budget - $ 696K (approx.)
Start: 2015/2016
Length: 3 to 5 years
Stage: Execution
Leading-edge methods and data integration: This project features data integration from an operational point of view. The integration will affect efficiency, data quality, and coherence of the data. It will also enable further cross-analysis opportunities.

Governance is in place

Overall, the evaluation found that governance structures are in place to support the projects. Similarly, schedules are developed and regular meetings take place to monitor progress, budgets and outstanding issues.

The projects employ different governance structures. AG-Zero is monitored under the Departmental Project Management Framework (DPMF)Footnote 20 and started on April 1, 2019. The first three years of the project are funded by a modernization investment submission while the final four years will be self-funded with savings realized through the first set of subprojects. Some of the subprojects under the AG-Zero umbrella have additional dedicated funding.

For AG-Zero, as required under the DPMF guidelines, detailed project planning documentation is in place including a project charter, Project Complexity and Risk Assessment, and an IT Development Plan. Monthly dashboards are provided to the Departmental Project Management Office (DPMO), reporting on various aspects including timelines, deliverables, expenditures, and risks. Within the division, a governance structure exists that includes working groups, divisional management, and the CEAG Steering Committee. AG-Zero subprojects are managed through the same governance structure. They are discussed within the division, and updates on elements such as deliverables, risks, and schedules are rolled-up into the AG-Zero monthly dashboard, as needed.

The Ag-DI project is also a DPMF project. It is small in scope with one resource working fulltime and no non-salary investment. Oversight and reporting are via the standard governance structure for the Agriculture Division and the DPMF.

Project management for the ATDP takes place via the regular divisional governance structure; it is not a DPMF project. Evidence indicates that project management has improved over time (e.g., budget planning, schedules, assumptions, governance, roles and responsibilities) and that at the time of the evaluation, adequate governance was in place and the project was on track to meet its overall objectives.

Risk assessments are conducted on an ad hoc basis

Risks for AG-Zero as a whole were identified at the outset of the project and are monitored every month as per DPMF requirements. Risks at the subproject level are meant to be rolled-up to inform risk management at the AG-Zero project level. While project-specific risks are identified and entered into JIRA during regular team lead meetings, there is little evidence that initial risk assessments were conducted for the subprojects. As AG-Zero is the sum of its subprojects, informal risk management at the sub-project level limits the effectiveness of risk management.

For example, the interruption of reliable access to administrative data (short-term or long-term) has been identified as a risk for the AG-Zero project overall. The division has developed mitigation and contingency options, including the feasibility or practicality of remaining "survey ready" in the case that this risk materializes. Because the risk has not been fully assessed at the subproject level, the management of this risk is limited. Similarly, risk management for other non-DPMF activities is taking place on an ad hoc informal basis.

Quantifiable objectives and targets are missing

The projects examined have the potential to advance innovation in important areas such as data collection, processing, analysis, and dissemination. The evaluation found that clearly defined, quantifiable expected outcomes have not been articulated in most cases. There is a general understanding of what types of positive effects these projects "might" generate, but there are few specific objectives that quantify the expected level of improvement in areas such as data quality, cost efficiency, response burden, timeliness, or relevance.

For example, while it is generally assumed that the integration of data from alternative sources will eventually lead to savings in data collection costs, there are no documented expectations for what the level of savings will be and when they will be realized. This is especially true for the subprojects under the AG-Zero umbrella. The AG-Zero project, which has a hybrid funding scheme (i.e., approved funding during the first three years, and self-funding for the remaining four years), does not have a clear plan to identify and measure returns on investment.Footnote 21

Finally, the measurement of returns on investment should be thorough and comprehensive. For example, as data from alternative sources are acquired from external sources in exchange for some type of service (such as data cleaning or preparation), the associated cost of the service must be considered. Non-payment for the administrative data does not mean they are free; there is still a cost for the "quid pro quo" service that must be accounted for. Similarly, associated costs for remaining "survey ready" while using administrative data (i.e., the mitigation strategy implemented for the risk associated with the accessibility of administrative data) should be accounted for.

The establishment of overall performance indicators for projects and for key milestones during the timeline of the project is critical for monitoring the progress of the work and, ultimately, for measuring the return to the agency for the initiative. The return can be in the form of data quality improvements, cost reduction, reduction of response burden, improvements to data access and availability, or any other improvement realized by the agency.

Best practices could be better leveraged

The evaluation found little evidence that best practices and lessons learned from the projects are being shared (or were planned to be shared) outside of the division; nor did it appear that the projects took advantage of experiences acquired by other divisions.Footnote 22 Lessons learned and best practices were not being documented. Instead, they were being deferred until there was "more time."

While minimal effort was made in this regard, staff recognized the importance of sharing and benefiting from others and that sharing and using best practices could be improved. Staff were also aware of channels for this purpose, such as the Innovation Radar and the Economic Statistics Forum. In November 2019, the division provided an overview of the Geospatial Statistics Framework (a system built to view and analyze geospatial data) at the Economics Statistics Forum.

When asked about ways to enhance information sharing, a number of suggestions were provided: encourage the use of existing corporate mechanisms such as the Innovation Radar; develop a user-friendly open corporate platform where more detailed information about initiatives organized by themes, including contact information, could be housed; involve partner areas such as the Finance, Planning and Procurement Branch, the Informatics Branch, and the Modern Statistical Methods and Data Science Branch (which support different projects for sound statistical approaches) at the outset of a new initiative since these groups have a corporate perspective of innovative projects.

Focus is on expediency

The level of project management typically reflects several factors including risk, materiality and interdependencies. The evidence suggests that timeliness for delivering results is given the highest priority for the projects and that project management is viewed as being a time consuming onerous task that slows things down. As such, minimal effort is placed on activities such as conducting formal risk assessments, identifying quantifiable goals, undertaking cost-benefit analyses, and sharing best practices (as well as learning from experiences of other divisions). An appropriate balance is missing. 

How to improve the program

2016 Census of Agriculture dissemination strategy

The Assistant Chief Statistician (ACS), Economic Statistics (Field 5), should ensure that:

Recommendation 1:

For the 2021 CEAG, the Agriculture Division explore ways to improve the timeliness of the last two sets of data tables (historical data, and socio-economic data) and increase cross-analysis with non-agricultural sectors.

Recommendation 2:

Web tools include guidance on how to use them and how to interpret data from them. A proactive approach to launching new tools should be taken. Webinars were identified as an effective channel and the use of other channels would allow for even a wider coverage.

Design and delivery: Census of Agriculture migration to the Integrated Business Statistics Program

The ACS, Field 5, should ensure that:

Recommendation 3:

Unresolved issues for the migration to the IBSP, including incompatibilities between the IBSP and the CMP as well as the IBSP processing capacity, are addressed prior to the production phase.

Recommendation 4:

Significant risks during the production phase, particularly with regard to data quality assessments and the exercising of roles and responsibilities, are monitored and mitigated.

Agriculture Statistics Program projects supporting the modernization initiative

The ACS, Field 5, should ensure that:

Recommendation 5:

Planning processes for future projects falling outside the scope of the Departmental Project Management Framework include an initial assessment that takes into account elements such as risk, materiality, public visibility and interdependencies. The assessment should then be used to determine the appropriate level of oversight and project management.

Recommendation 6:

Processes and tools for documenting and sharing of best practices are implemented and lessons learned from other organizations (internal and external) are leveraged.

Management response and action plan

Recommendation 1:

For the 2021 CEAG, the Agriculture Division explore ways to improve the timeliness of the last two sets of data tables (historical data, and socio-economic data) and increase cross-analysis with non-agricultural sectors.

Management response

Management agrees with the recommendation.

For the 2016 Census of Agriculture, no funding was provided for the creation and release of the socioeconomic portrait of the farm population; as such, it was not part of the original scope for the 2016 dissemination plan but was added later. The tool used to create the socio-economic dataset from the 2016 CEAG (dealing specifically with the linkage between the Censuses of Agriculture and Population) is specifically in-scope as a deliverable for the 2021 Census of Agriculture.

The 2021 CEAG dissemination strategy and release schedule will be presented to the CEAG steering committee for review and approval. Related processes for the release of selected historical farm and farm operator data will also be reviewed and the timeline for releases will be adjusted based on feedback from the Federal Provincial Territorial partners (key users of the data).

Agriculture Division has already taken steps to increase cross-sectoral analysis with non-agricultural sectors, including the infographics on:

  1. Which came first: The chicken or the egg? Poultry and eggs in Canada
  2. Thanksgiving: Around the Harvest Table.

The CEAG will continue to build on this initiative by developing cross-sectoral infographics, analytical studies, Daily releases and interactive data visualization for the 2021 CEAG data release.

Deliverables and timelines

The Assistant Chief Statistician, Economic Statistics (Field 5) will ensure the delivery of

  1. The approved Dissemination strategy (December 2020)
  2. A proposal for cross-analysis such as Infographics, analytical studies, and Daily releases integrating CEAG data with data from other sectors (March 2021)
  3. A proposal for new interactive visualization tools within the Agriculture Stats Hub (March 2021).

Recommendation 2:

Web tools include guidance on how to use them and how to interpret data from them. A proactive approach to launching new tools should be taken. Webinars were identified as an effective channel and the use of other channels would allow for even a wider coverage.

Management response

Management agrees with the recommendation.

YouTube tutorial videos on how to use Statistics Canada geographic boundary files using open source GIS software (QGIS) have been produced and added to the Agriculture and Food portal.

The CEAG will create "How to" instructions and demos on how to use the interactive visualization web tools. The "How to" instructions will be available within each tool and the demos will be presented to data users in a series of webinars planned for the 2021 CEAG releases.

Deliverables and timelines

The Assistant Chief Statistician, Economic Statistics (Field 5) will ensure the delivery of

  1. A proposal for new interactive visualization tools within the Agriculture Stats Hub, with integral "How to use" instructions and webinar demos (March 2021).

Recommendation 3:

Unresolved issues for the migration to the IBSP, including incompatibilities between the IBSP and the CMP as well as the IBSP processing capacity, are addressed prior to the production phase.

Management response

Management agrees with the recommendation.

The CEAG will continue to work with partners to identify relevant and emerging issues related to the migration to the IBSP during the integrated testing commencing June 2020. Issues will be captured in JIRA and major risks entered in the CEAG risk register. Consolidated risks and issues will be tracked and actioned in project plan documentation.

The integrated testing will take place over several months. All relevant and emerging issues must be resolved by December 2020 to ensure the readiness of production activities.

Issues and risks to be monitored through the CEAG Steering Committee.

Deliverables and timelines

The Assistant Chief Statistician, Economic Statistics (Field 5) will ensure that relevant and emerging IBSP issues and risks are tracked consistent with the DPMF (December 2020).

Recommendation 4:

Significant risks during the production phase, particularly with regard to data quality assessments and the exercising of roles and responsibilities, are monitored and mitigated.

Management response

Management agrees with the recommendation.

A table top exercise will be conducted to identify potential gaps in the processes in place (including risk management) for the production phase. Information gathered during the exercise will be used to inform plans and develop potential contingencies. Results will be presented to the CEAG Steering Committee.

The CEAG will engage the IBSP and all its stakeholders ("SWAT" team) in convening meetings to communicate relevant and emerging issues and risks during the production phase and to find resolutions. Roles and responsibilities will be formally documented and presented at the CEAG Steering committee.

The SWAT team will be ready for the production phase.

Deliverables and timelines

The Assistant Chief Statistician, Economic Statistics (Field 5) will ensure the delivery of

  1. The results from table top exercise (December 2020)
  2. The CEAG "SWAT" team with documented roles and responsibilities (March 2021).

Recommendation 5:

Planning processes for future projects falling outside the scope of the Departmental Project Management Framework include an initial assessment that takes into account elements such as risk, materiality, public visibility and interdependencies. The assessment should then be used to determine the appropriate level of oversight and project management.

Management response

Management agrees with the recommendation.

A new process will be implemented (for both subprojects under AG-Zero and non-DPMF projects) that will require the development of a project plan prior to the launching of a new project. The plan will include among other things: an initial assessment of the issues and risks (and mitigation strategies); a description of the methodology and assumptions; the identification of interdependencies and expected outcomes; and communication plans. The monitoring of projects will take place through existing governance mechanisms. Finally, existing projects already underway will be subject retroactively to the new process.

Where relevant, the plans will be used to update the DPMF project issues and risks register and the DPMF Project Plan.

Deliverables and timelines

The Assistant Chief Statistician, Economic Statistics (Field 5) will ensure the delivery of a new project plan process (June 2020).

Recommendation 6:

Processes and tools for documenting and sharing of best practices are implemented and lessons learned from other organizations (internal and external) are leveraged.

Management response

Management agrees with the recommendation.

The Agriculture Division has already shared lessons learned and best practices through various mechanisms including:

  1. a presentation at AAFC on producing crop yield estimates using earth observation and administrative data on March 14, 2019
  2. a presentation at the Economic Statistics Forum on November 12th, 2019
  3. a presentation at AAFC on February 7th, 2020, on Predicting the Number of Employees using Tax Data.

As part of the new project plan process outlined previously, the Agriculture Division will leverage lessons learned from other organizations where applicable. In addition, as part of ongoing monitoring, lessons learned and best practices from projects will be documented.

Deliverables and timelines

The Assistant Chief Statistician, Economic Statistics (Field 5) will ensure the delivery of:

  1. A systematic approach to share and document lessons learned (December 2020)
  2. A presentation(s) at conferences such as the Economic Statistics Forum (March 2021)
  3. An article(s) in @StatCan or the Modernization bulletin (March 2021)
  4. A presentation(s) at AAFC (March 2021).

Appendix A: Integrated Business Statistics Program (IBSP)

The IBSP provides a standardized framework for surveys with common methodologies for collection and processing. Through standardization and use of corporate services and generalized systems, the program optimizes the processes involved in the production of statistical outputs; improves governance across all areas involved in statistical data output, particularly for change management; and modernizes the data processing infrastructure. This is achieved by balancing the development of a coherent standardized model with the maintenance of flexible program-specific requirements. It is expected that the IBSP surveys will use:

  • the Business Register (BR) as a common frame;
  • harmonized concepts and content for questionnaires;
  • electronic data collection as the principal mode of collection;
  • shared common sampling, collection and processing methodologies;
  • common tools for data editing and analysis; and
  • the tax data universe for estimating financial information.

Appendix B: List of products released (2016 CEAG)

Table 6: List of products released (2016 CEAG)
Date of release Title of product (including link) Type of product Timeliness
Time lapse between collection and release:
Days (years)
Time lapse since previous release: Days
May 10, 2017 The Daily: 2016 Census of Agriculture Statistics Canada's official release bulletin 365
(1 year)
N/A
Farm and Farm Operator Data (CANSIM tables 004-0200 to 004-0246) Data table
Provincial and territorial trends (NL; PE; NS; NB; QC; ON; MB; SK; AB; BC; YT/NT) Analytical product
Reference maps: Provinces Map
May 17, 2017 A portrait of a 21st century agricultural operation Analytical product 367 2
May 24, 2017 Production efficiency and prices drive trends in livestock Analytical product 374 7
May 31, 2017 Seeding decisions harvest opportunities for Canadian farm operators Analytical product 381 7
June 7, 2017 Leveraging technology and market opportunities in a diverse horticulture industry Analytical product 388 7
June 14, 2017 Farmers are adapting to evolving markets Analytical product 395 7
June 21, 2017 Growing opportunity through innovation in agriculture Analytical product 402 7
June 27, 2017 150 Years of Canadian Agriculture Infographic 408 6
September 13, 2017 Agricultural Ecumene Boundary File Boundary file 486 78
November 20, 2017 Canadian Agriculture at a Glance: Other livestock and poultry in Canada Analytical product 554
(~1.5 years)
68
December 6, 2017 Canadian Agriculture at a Glance: Dairy goats in Ontario: a growing industry Analytical product 570 16
December 11, 2017 Selected Historical Data from the Census of Agriculture (CANSIM Tables 004-0001 to 004-0017)   Data table 575 5
December 13, 2017 Agricultural operation characteristics Map 577 2
January 25, 2018 Land use, land tenure and management practices Map 620 43
February 22, 2018 Crops - Hay and field crops Map 648 28
March 22, 2018 Canadian Agriculture at a Glance: Innovation and healthy living propel growth in certain other crops Analytical product 676 28
April 5, 2018 Crops - Vegetables (excluding greenhouse vegetables), fruits, berries and nuts, greenhouse products and other crops Map 690 14
April 26, 2018 Livestock, poultry, bees and characteristics of farm operators Map 711
(~2 years)
21
November 27, 2018 The Daily: The socioeconomic portrait of Canada's evolving farm population, 2016 Statistics Canada's official release bulletin 926
(~2.5 years)
215
Agriculture-Population Linkage Data (The socioeconomic portrait of Canada's evolving farm population, 2016) (13 Data Tables) Data table
Socioeconomic overview of the farm population - The Agriculture Stats Hub Dynamic web application (Agriculture-Population Data Linkage)
Canadian farm operators: An educational portrait Infographic
The socioeconomic portrait of Canada's evolving farm population Infographic
Canada's immigrant farm population Infographic
December 13, 2018 Canadian Agriculture at a Glance: Female and young farm operators represent a new era of Canadian farmers Analytical product 942 16
January 17, 2019 Canadian Agriculture at a Glance: Aboriginal peoples and agriculture in 2016: A portrait Analytical product 977 35
March 21, 2019 Canadian Agriculture at a Glance: The educational advancement of Canadian farm operators Analytical product 1040
(~3 years)
63
July 3, 2019 Canadian Agriculture at a Glance: The changing face of the immigrant farm operator Analytical product 1144
(~3 years)
104

Appendix C: Governance and management structures (Census of Agriculture and the Integrated Business Statistics Program)

Overall management of the Census of Agriculture:

  • CEAG Working Group (WG) for overall management of the CEAG (monthly meetings): chaired by the Assistant Director (AD) and Chief, and includes Chiefs from other relevant areas (e.g., methodology, IT and unit heads)
  • CEAG Management Team for day-to-day management of the CEAG (weekly meetings): includes the same members as the CEAG WG, but is also extended to other staff involved
  • CEAG Steering Committee:Footnote 23 an overarching advisory and decision-making function (monthly meetings)
  • Other WGs and committees for various functions (e.g., Census of Population/CEAG WG, Collection WG, Advisory Committee on Agriculture and Agri-Food Statistics, Federal-Provincial-Territorial Committee on Agriculture Statistics.)

Governance structures already established within the Enterprise Statistics Division (ESD) for the IBSP:

  • IBSP Transition/Integration/Production WGs: chaired by ESD, and includes the CEAG and all other partners such as the Operations and Integration Division (OID), the Collection Planning and Research Division (CPRD), as well as methodology and IT (bi-weekly meetings), to support the transition, integration, and production phases;
  • IBSP Project Management Team:Footnote 24 an overarching advisory and decision-making function that includes directors general, directors and ADs involved in the IBSP migrations
  • Change Management Committee: involved only during the production phase, it will be responsible for overseeing change management during production (e.g., if the schedule needs to be changed, the Committee will triage the request to the different stakeholders involved.)

Appendix D: Innovation Maturity Survey

In 2018, Statistics Canada conducted a survey to measure the innovation maturity level of the agency across 6 attributes:Footnote 25

  • Client expectations - incorporating the expectations and needs of clients in the design and development of innovative services and policies
  • Strategic alignment - articulating clear innovation strategies that are aligned with the organization's priorities and mandate
  • Internal activities - building the right capabilities aligned with the innovation strategies
  • External activities - collaborating across the whole of government and with external partners to co-innovate policies, services and programs
  • Organization - fostering the right organizational elements to drive innovation performance at optimal cost
  • Culture - aligning the innovation goals, cultural attributes, and behaviours with the innovation strategies

The Agriculture Division had maturity levels higher than those for all of Statistics Canada and compared with the Economic Statistics Field as a whole.

Figure 3: Results from the Innovation Maturity Survey (5 point scale)Footnote 26
Figure 3: Results from the Innovation Maturity Survey (5 point scale)
Description for Figure 3 - Results from the Innovation Maturity Survey (5 point scale)

The figure depicts the results of Statistics Canada Innovation Maturity Survey level for 4 different groups (Statistics Canada; Economic Statistics Field; Agriculture, Energy and Environment Statistics Branch; and, Agriculture Division. Six different attributes were used: Client expectations; Strategic alignment; Internal activities; External activities; Organization; and, Culture. Overall maturity was also assessed.

Results from the Innovation Maturity Survey (5 point scale)
Attribute Statistics Canada Economic Statistics Field Agriculture, Energy and Environment Statistics Branch Agriculture Division
Overall maturity 1.98 2.01 2.15 2.35
Client Expectations 2.16 2.34 2.55 2.84
Strategic Alignment 1.98 1.95 2.03 2.52
Internal activities 2.11 2.08 2.22 2.38
External activities 1.47 1.57 1.73 1.66
Organization 1.90 1.90 1.97 2.11
Culture 2.26 2.24 2.40 2.56

Retail Trade Survey (Monthly): CVs for Total sales by geography - July 2020

CVs for Total sales by geography - July 2020
Table summary
This table displays the results of Annual Retail Trade Survey: CVs for Total sales by geography - July 2020. The information is grouped by Geography (appearing as row headers), Month and Percent (appearing as column headers).
Geography Month
202007
%
Canada 0.7
Newfoundland and Labrador 1.3
Prince Edward Island 0.9
Nova Scotia 1.9
New Brunswick 1.8
Quebec 1.5
Ontario 1.4
Manitoba 1.6
Saskatchewan 1.4
Alberta 1.4
British Columbia 1.6
Yukon Territory 1.3
Northwest Territories 0.4
Nunavut 2.2

Wholesale Trade Survey (monthly): CVs for total sales by geography - July 2020

Wholesale Trade Survey (monthly): CVs for total sales by geography - July 2020
Geography Month
201907 201908 201909 201910 201911 201912 202001 202002 202003 202004 202005 202006 202007
percentage
Canada 1.4 1.2 1.3 1.3 1.1 1.5 1.5 1.3 1.3 1.6 0.8 0.7 0.7
Newfoundland and Labrador 0.8 0.7 0.6 0.7 0.7 0.3 1.4 0.5 2.3 1.2 0.5 0.1 0.2
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 2.6 4.7 4.8 4.2 4.9 13.0 5.0 3.8 5.3 6.2 4.0 2.3 1.5
New Brunswick 2.9 3.4 2.3 2.8 5.5 3.6 4.9 2.4 2.1 3.3 3.3 1.9 1.4
Quebec 3.2 3.2 3.3 3.4 3.1 3.5 3.0 3.7 3.1 4.6 2.0 1.9 1.7
Ontario 2.4 1.8 1.9 2.0 1.7 2.4 2.4 1.8 2.1 2.3 1.1 1.1 1.1
Manitoba 1.9 2.0 2.1 3.3 1.8 5.1 2.7 1.6 1.9 5.8 2.8 1.2 1.2
Saskatchewan 1.6 2.2 1.7 1.4 1.9 1.4 1.0 1.1 0.9 2.4 0.7 0.7 1.1
Alberta 1.8 1.8 3.4 2.6 2.4 2.0 2.0 1.8 2.4 4.8 2.9 2.3 2.4
British Columbia 2.1 2.7 2.9 2.3 3.0 2.6 2.5 3.2 3.1 2.6 1.7 1.6 1.3
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

Archived - Electricity Supply Disposition Monthly Survey 2021: Reporting Guide

Environment and Energy Statistics Division
Energy Section

This guide is designed to assist you as you complete the
2021 Monthly Electricity Supply and Disposition Survey.

Help Line: 1-877-604-7828 (TTY: 1-866-753-7083)

Confidentiality

Statistics Canada is prohibited by law from releasing any information it collects which 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.

Table of contents

A – Reporting Instructions

Please report information for the month indicated on the front of the questionnaire, and return it within 10 days of receipt.

Please complete all sections as applicable.

If the information requested is unknown, please provide your best estimate.

This guide is designed to assist you as you complete the Monthly Electricity Supply and Disposition Survey. If you need more information, please call 1-877-604-7828.

B – Electricity Generation Method

Combustible fuels: see section C

Nuclear: Electricity generated at an electric power plant whose turbines are driven by steam generated in a reactor by heat from the fission of nuclear fuel.

Hydro: Electric power generated from a plant in which the turbine generators are driven by flowing water.

Tidal: Electric power generated from a plant in which turbine generators are driven from tidal movements.

Wind: A power plant in which the prime mover is a wind turbine. Electric power is generated by the conversion of wind power into mechanical energy.

Solar: Electricity created using Photovoltaic (PV) technology which converts sunlight into electricity OR electricity created using solar thermal technology where sunlight heats a liquid or gas to drive a turbine or engine.

Wave: Electricity generated from mechanical energy derived from wave motion.

Geothermal: Electricity generated from heat emitted from within the earth's crust, usually in the form of hot water or steam.

Other non-combustible sources: This includes fuels such as waste heat, steam, and steam purchased from another company. Specify in the space provided.

C – Combustible fuels

Coal: A readily combustible, black or brownish-black rock-like substance, whose composition, including inherent moisture, consists of more than 50% by weight and 70% by volume of carbonaceous material. It is formed from plant remains that have been compacted, hardened, chemically altered and metamorphosed by heat and pressure over geologic time without access to air.

Natural gas: A mixture of hydrocarbons (principally methane) and small quantities of various hydrocarbons existing in the gaseous phase or in solution with crude oil in underground reservoirs.

Petroleum: This covers both naturally occurring unprocessed crude oil and petroleum products that are made up of refined crude oil and used as a fuel source (i.e., crude oil, synthetic crude oil, natural gas liquids, naphtha, kerosene, jet fuel, gasoline, diesel, and fuel oil; excludes Petroleum coke, bitumen and other oil products not specified).

Other non-renewable combustible fuels: This includes fuels such as propane, orimulsion, petroleum coke, coke oven gas, ethanol and any other type of non-renewable combustible fuels not otherwise identified on the questionnaire. Specify in the space provided.

Wood and wood waste: Wood and wood energy used as fuel, including round wood (cord wood), lignin, wood scraps from furniture and window frame manufacturing, wood chips, bark, sawdust, shavings, lumber rejects, forest residues, charcoal and pulp waste from the operation of pulp mills, sawmills and plywood mills.

Spent pulping liquor (Black liquor): A recycled by-product formed during the pulping of wood in the paper-making process. It is primarily made up of lignin and other wood constituents, and chemicals that are by-products of the manufacture of chemical pulp. It is burned as fuel or in a recovery boiler which produces steam which can be used to produce electricity.

Methane (Landfill gas): A biogas composed principally of methane and carbon dioxide produced by anaerobic digestion of landfill waste.

Municipal and other waste: Wastes (liquids or solids) produced by households, industry, hospitals and others (examples: paper, cardboard, rubber, leather, natural textiles, wood, brush, grass clippings, kitchen waste and sewage sludge).

Other type of Biomass: Any other type of biomass not otherwise identified on the questionnaire. This includes fuels such as food waste/food processing residues, used diapers, and biogases – example, gas produced from anaerobic digesters. Specify in the space provided.

D – Receipts of electricity from the U.S.A.

If applicable, please report the total quantity of electricity (MWh) and Canadian dollar value (thousands of dollars) this business imported/purchased from the United States.

E – Receipts of electricity from within Canada

If applicable, please report the total quantities of electricity (MWh) and total dollar value (thousands of dollars) purchased or received from within and/or other provinces (e.g., other utilities/producers, transmitters, distributors).

F – Total Supply

This is the sum of Total Generation, Total Receipts from United States, Total Receipts from other Provinces and Total Receipts from Within Province. The Total Supply number must equal the Total Disposition number.

G – Deliveries of electricity to the U.S.A.

If applicable, please report the total quantity of electricity (MWh) and Canadian dollar value (thousands of dollars) this business exported/sold to the United States.

H – Deliveries of electricity within Canada

If applicable, please report the total quantity of electricity (MWh) and total dollar value (thousands of dollars) your company sold to other domestic companies, by province or territory.

I – Unallocated and/or losses

Include

  • transmission losses
  • adjustments
  • "unaccounted for" amounts which are subject to variation because of cyclical billing
  • losses in the main generator transformers and the electrical energy absorbed by the generating auxiliaries

Thank you for your participation.

Data stewardship: An introduction

Catalogue number: 892000062020013

Release date: September 23, 2020 Updated: June 9, 2022

By the end of this video, you should understand how to determine what data you need, where to find data, how to gather data (whether from existing sources or by doing a survey) and how to keep data safe.

Note that data gathering is usually called "data collection" when conducting a survey.

Data journey step
Foundation
Data competency
Data gathering
Audience
Basic
Suggested prerequisites
N/A
Length
8:26
Cost
Free

Watch the video

Data stewardship: An introduction - Transcript

Data stewardship: An introduction - Transcript

(The Statistics Canada symbol and Canada wordmark appear on screen with the title: "Data stewardship: An introduction")

Data stewardship: Data governance in action

Data stewardship is often described as data governance in action. This video introduces you to the fundamental aspects of data stewardship.

Learning goals

This video is intended for learners who wish to get a basic understanding of data stewardship. No previous knowledge is required. By the end of this video, you'll be able to answer the following questions:

  • What is data stewardship?
  • What's the difference between data governance and data stewardship?
  • Why is data stewardship important?
  • What are the main roles of data stewards and what are the expected outcomes of a data stewardship program?

Steps of a data journey

(Diagram of the Steps of the data journey: Step 1 - define, find, gather; Step 2 - explore, clean, describe; Step 3 - analyze, model; Step 4 - tell the story. The data journey is supported by a foundation of stewardship, metadata, standards and quality.)

This diagram is a visual representation of the data journey from collecting the data to cleaning, exploring, describing and understanding the data to analyzing the data, and lastly to communicating with others the story the data tell. Data governance and actionable data governance in the form of data stewardship principles cover all the steps of the data journey, also called the data lifecycle.

 

What is data stewardship?

Before discussing data stewardship, it's important to briefly introduce data governance and describe the link between the two. Data governance is often described as the exercise of decision making, an authority for data related matters. Data governance includes policies, directives, and regulations on data, data privacy and data security, and the assignment of roles and responsibilities to ensure continuous data quality and data management improvement. Data stewardship is often described as data governance in action. Data stewardship includes the management and oversight of data to ensure fitness for use and compliance with policies, directives, and regulations.

What is the difference between data governance and data stewardship? Data governance

Data governance is strategic and involves: creating an organizational structure that's responsible for managing governance decisions, creating a multidisciplinary and coordinated team of stewards to govern the data, defining the uses and purpose of the data and the principles by which they will be handled, establishing a plan to communicate the policies that govern the data, defining the roles and responsibilities for those who oversee data governance.

What is the difference between data governance and data stewardship? Data stewardship

Data stewardship is operational and involves identifying what data are critical and documenting the allowable values of the data. Defining operational procedures to meet the requirements defined by organizational policies regarding the creation, collection, storage, or use of, and denial of access or data. Documenting data sources which involves using a system for recording where data come from. Establishing thresholds or acceptable levels for the quality and usability of the organizations data. Ensuring compliance of data management and interoperability standards that enable data linkage and allow computer systems to communicate with each other. Adding and managing metadata that describe the data and resolving any issues that arise related to the organisation's data.

Why is data stewardship so important?

The rapid increase of data and data providers is often referred to as the data revolution or the data explosion. This increase in volume and variety of data presents many opportunities for organizations to develop more output in the form of data, information and insights. However, there are also growing concerns with data privacy and security. Since some of these data contain identifiable information. With the increase in volume, variety and speed at which data can be created, users expect more data provided in or near real time and at ever increasing levels of detail. There's a growing native many organizations to increase data sharing and data interoperability in order to use data assets to their full potential. Proper data management and stewardship have never been more important.

What is the role of a data steward?

A data steward is accountable for the organisations data assets and must know where the data assets reside throughout their life cycle, what their measure of quality is and how they are protected against associated risks. Data stewards are responsible for defining and implementing policies and procedures for the day-to-day operation and administrative management of systems and data, including the intake, storage, processing, and transmission of data to internal and external systems.

Data steward activities?

The primary roles of data stewards vary between organizations, but most data stewards are directly involved in the following activities. Data lifecycle management from obtaining data to data deletion: This includes protocols, processes and rules for data storage, access, archiving and deletion. data protection, and privacy: This includes ensuring the use of masking or de-identification techniques to protect identifiable information. Data quality: This includes adherence to data quality frameworks to ensure the data meet the needs of the users. Interoperability standards: This is the use of data standards, vocabularies, taxonomies and ontologies to permit data reuse and sharing. Training: This ensures everyone in the organization understands the role of the data steward. Communication: This includes the creation of reports on the state of data asset management. Policy instrument implementation: This involves ensuring that data adherence to all organizational policies, directives and guidelines throughout their life cycle. Data access management and security: This includes adherence to access privileges and protocols that are based on roles and right to know.

What does data stewardship look like?

When done successfully, data stewardship insures overall data management is fully aligned with an organisations corporate strategy and supports organizational performance. Sound data stewardship also includes repeatable and automated business processes, well established roles and accountabilities for those responsible for data, and ensures that business rules are adhered to and that metrics and audits are used to continuously improve data quality and effective data stewardship.

Expected outcomes

The expected outcomes of a data stewardship program are: Greater trust in information; Greater understanding of the data needed to make critical business decisions because of accurate terms and definitions; Adherence to best practices, protocols, rules and standards leading to greater efficiency; Consistent results across lines of business, and less time spent finding data, creating reports, verifying results, investigating anomalies and explaining inconsistencies; More consistent, findable, and defendable data and information leading to maintained public trust.

Goals of data stewardship

The goals of data stewardship and a data stewardship program are to:

  • Support high quality and optimized data use;
  • Facilitate data discoverability and accessibility;
  • Help set common data definitions, standards and policies to support interoperability;
  • Reduce the time spent finding data, verifying results or identifying inconsistencies;
  • Help eliminate duplication in the acquisition and storage of data; Support effective data
  • governance and strategies.

Recap of key points

Data governance is strategic and involves creating an infrastructure for looking after data in a responsible way. Data stewardship is data governance in action. In other words, data stewardship involves the day-to-day activities of gathering, storing, processing and sharing data. Data stewardship is important as we use and are held accountable for the protection of greater volumes of data.

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Data Accuracy and Validation: Methods to ensure the quality of data

Catalogue number: 892000062020008

Release date: September 23, 2020 Updated: November 25, 2021

Accuracy is one of the six dimensions of Data Quality used at Statistics Canada. Accurate data correctly describe the phenomena they were designed to measure or represent.

Before we use data we should explore it to learn about the variables and concepts, and also to discover if there are errors, inconsistencies or gaps in the data. This video looks at ways to explore the accuracy of data.

Data journey step
Explore, clean, describe
Data competency
  • Data discovery
  • Data cleaning
  • Data quality evaluation
Audience
Basic
Suggested prerequisites
N/A
Length
10:29
Cost
Free

Watch the video

Data Accuracy and Validation: Methods to ensure the quality of data - Transcript

Data Accuracy and Validation: Methods to ensure the quality of data - Transcript

(The Statistics Canada symbol and Canada wordmark appear on screen with the title: "Data Accuracy and Validation: Methods to ensure the quality of data")

Data Accuracy and Validation: Methods to ensure the quality of data

Assessing the accuracy of data is an important part of the analytical process.

Learning goals

Accuracy is one of the six dimensions of data quality used at Statistics Canada. Accuracy refers to how well the data reflects the truth or what actually happened. actually happened. In this video we will present methods to describe accuracy in terms of validity and correctness. We will also discuss methods to validate and check the accuracy of data values.

Steps of a data journey

(Diagram of the Steps of the data journey: Step 1 - define, find, gather; Step 2 - explore, clean, describe; Step 3 - analyze, model; Step 4 - tell the story. The data journey is supported by a foundation of stewardship, metadata, standards and quality.)

This diagram is a visual representation of the steps involved in turning data into knowledge.

Step 2: Explore, clean and describe

(Diagram of the Steps of the data journey with an emphasis on Step 2 - explore, clean, describe.)

Accurate data correctly describes the phenomena they were designed to measure or represent. before we use data. We should explore it to learn about the variables and concepts and also to discover if there are errors, inconsistencies or gaps in the data. This video looks at ways to explore the accuracy of data.

What does it mean for data to be accurate?

What does it mean for data to be accurate? Accurate data is a reflection of reality. In other words, the data values are valid, so not blank or missing and the values are within a valid range. Accurate data is also correct. First, let's look at the concept of valid data. One method for exploring the validity of data is to do what we call of emo analysis. Vimo is an acronym for valid, invalid, missing an outlier data values.

Invalid values

(Table of values on screen listing houshold ID, their respective spending on food and total spending on housing. One of the table cells is occupied by name "blue" and not a dollar ammount.)

On the previous slide, we defined valid data as being not blank or missing, and within a valid range of values. Invalid data, on the other hand, has values that are impossible. An example would be a variable that should have a dollar amount, such as spending on housing, having the value blue. That makes no sense.

Missing values

(Table of values on screen listing houshold ID, their respective spending on food and total spending on housing. One of the table cells is empty and does not contain a dollar ammount.)

Missing values are where the variable is left blank. For example, we would expect either a 0 or a number for the value of total expenses.

Outlier values

(Table of values on screen listing the name of individuals, their respective occupation and age. One individual is listed as being 103 years old and another as being 301 years old.)

Outlier values are extremely small or extremely large compared to what we would expect. Some outlier values are actually true. For example, a person's age could be 103 years, although this is quite rare. Other times, outlier values are also invalid, such as the value of 301 for a living person's age in years.

VIMO analysis

One way to do of emo analysis is to produce a frequency distribution distribution of key variables and look at the proportion of valid, invalid, missing and outlier values. What proportion of valid values is acceptable? Is at 100%? Or something lower? Look at the range of values for key variables, ignoring the missing and invalid values for a moment, is the range and distribution of values realistic? Where the values are invalid or missing, is it easy to tell if they should actually be 0 or are they not applicable? Or should there be some other value? Another way to explore the validity of data is to use datavisualization techniques, such as plotting the data on an axis. This is a straightforward way to quickly detect if there are patterns or anomalies in the data. There are software tools to detect outlier values and do data visualization. Remember that not all unusual values are necessarily wrong.

Example: Detecting invalid values

(Diagram of a barchart presenting the number of footwear sold online. The listed types of boots are, from the left: Winter boots; Rubber boots; Sandals; Running shoes; Umbrellas.)

In this made up example, we use a bar chart which is a very simple data visualization method to look at the frequency distribution of the types of footwear sold online. The Heights of the bars looked to be all within the same range. However, we notice on the horizontal axis that one of the bars is for umbrellas. You can't wear umbrellas on your feet. This is invalid. Further investigation is needed to figure out if the data in the bar actually represents some other type of footwear and the label umbrella was erroneously assigned, or if somehow the count of umbrellas got into the chart of footwear sales by accident.

Example: Detecting missing values

(Table on screen presenting a data distribution for Apples (A), Oranges (O) and Bananas (B). The following columns represnt the count values at 0 (A=0; O=0; B=1), 3 (A=1; O=0; B=0), 5 (A=0; O=2; B=0), 8 (A=0; O=0; B=2). The last columns represnts the count of missing values (A=5; O=7; B=6).)

In this example, we created a frequency distribution table of the values for three variables, apples, oranges and bananas. The column on the far right shows how many times they were missing values for each of these three variables. Remember that missing values are not the same as values equal to 0. In this example, there are a lot of missing values relative to the number of non missing values, so we would probably want to try to fill them in before using this data.

Example: correcting missing values

(Text on screen: There are many missing values in this table. Some are easy to fill by adding or substracting; Others we cannot fill without makingsome assumptions or finding additional information.)

(Table on screen presenting data values for the same table presented in the previous slide where the columns represnt the Row, Apples, Oranges and Total fruit (TF). the values are as listed: Row 1 (A=3; O=5; TF=-); Row 2 (A=-; O=5; TF=8); Row 3(A=-; O=-; TF=0); Row 4(A=-; O=-; TF=8).)

Following through with the outliers detected on the previous slide, here we see how we could correct them in this table of actual data values. We see where the missing values are. In the first row, it's easy to see that if we have three apples and five oranges, the missing value for the total number of fruit should be 8. Similarly, it's not hard to determine that the missing number of apples in the 2nd row is 3. However, in the 3rd row, the O could be correct, in which case the missing values for apples and oranges should also be 0. However, if the 0 total is wrong, then we don't know what the value of any of the three variables should be. In the 4th row, if the total is indeed 8, then we do not have enough information to know what the value is for. Apples and oranges should be. We only know that they're between zero and eight.

Example: detecting outlier values

(Scatter plot on screen with random dots where all but one red dot are approximatly aligned. 2 trendlines are added to represent said linearity.)

(Text on screen: This value (red dot) is further from all the other data values than we would expect.)

In this made up example, the data points represented by the green and red dots have been plotted on a horizontal and vertical axis. Two different methods have been used to estimate the central tendency of the data values. Those are represented by the red and blue lines. Most of the data values fall on or near both of the fitted lines. However, the Red Point is way off the lines. It's an outlier value. Further investigation is needed to determine what makes this data point so different and what should be done with it. Some outlier values are correct even though they are unusual.

Exploring the correctness of data

(Text on screen: Micro-data: For example a list of people with their occupation and date of birth. Macro data: Less detailed, like zooming out with a camera. For example: Micro data produced from a list of people with their occupation and date of birth could be counts of people by age categories and by occupational groups. Micro data is more granular than macro data, at a more detailed level.)

We said earlier that accurate data is both valid and correct. We looked at the vemoa analysis as a way to explore the validity of data. Now let's focus on the correctness of data. But first, we need to differentiate between looking at individual data values or micro data and looking at those values summarized up to a higher level or macro data microdata is more granular than macro data. At a more detailed level.

Exploring correctness of data

(Text on screen: Exemple 2: a 12year-old has a Master's degree in biology, is married and is employed by the University of Manitoba. Does this makes sense?)

One method to explore the correctness of data is to compare it to other related information. We could look at the reasonableness of values across a single data record. Are there variables that should make sense together? For example, if there are a total and the parts that make up that total is the sum correct? Another example is to look at a person's current age and compare that to the highest level of education attained or marital status or employment status. Does it make sense?

We could also look for commonality with standards, for example, in Canada, the 1st letter of the Postal code is determined by which province the addresses in all Postal codes in Newfoundland and Labrador start with a all Postal codes in Nova Scotia start with B and so on. If this is not the case then one of the pieces of information is incorrect.

(To answer these questions it is necessary to have reliable "facts" about the real world.)

Yet another way to explore correctness is to compare what's in the data with what's happening in the real world. You could calculate summary statistics such as totals and averages for car sales across Canada and compare across provinces or through time. Do the numbers make sense? Does the auto industry track these numbers and how to your numbers compared to theirs?

Tips for exploring correctness of data: Part 1

Here are some tips to make the comparisons easier. Before trying to compare data values, put them into a common format. The 12th of June 2018 will look different if the month is listed first in one case and the day is listed first in another. As well as using standard formats, use standard abbreviations, concepts and definitions to the extent possible. For example, in Canada we have a standard two letter code for the names of all the provinces and territories.

Tips for exploring correctness of data: Part 2

Using data visualization is a great way to spot anomalies in data before you get started, think about what level of incorrectness you can tolerate in the data, what's adequate for your purpose. Once you find discrepancies, use automation to correct errors in an efficient, consistent and objective manner.

Describing accuracy of data

(Text on screen: Document Clearly: The level of accuracy in terms of validity and correctness of the data once you have finished exploring and cleaning the data. This documentation could be of interest to: Those who will use the data and to those who will be responsible for exploring, cleaning and describing other similar data.)

Before using the data or passing it to stakeholders who will use the data, be sure to describe the accuracy of the data. The documentation describing the data is sometimes referred to as metadata. Document the methods you used to explore the validity and correctness of the data, as well as the methods you use to clean or improve the data. This is what users of the data need to know so they can use it responsibly.

Recap of key points

This video presented the basic concepts of accuracy and data validation. Vimo analysis recommends the use of frequency distributions of key variables to assess the proportion of valid, invalid missing an outlier values. Data visualization techniques and the use of common formats. An automation help to ensure efficient correct results. In addition, clear documentation is essential to gain insight into the methods used to explore and validate the data.

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Gathering Data: Things to consider before gathering data

Catalogue number: 892000062020005

Release date: September 23, 2020 Updated: November 25, 2021

By the end of this video, you should understand how to determine what data you need, where to find data, how to gather data (whether from existing sources or by doing a survey) and how to keep data safe.

Note that data gathering is usually called "data collection" when conducting a survey.

Data journey step
Define, find, gather
Data competency
Data gathering
Audience
Basic
Suggested prerequisites
N/A
Length
6:10
Cost
Free

Watch the video

Gathering Data: Things to consider before gathering data - Transcript

Gathering Data: Things to Consider Before Gathering Data - Transcript

(The Statistics Canada symbol and Canada wordmark appear on screen with the title: "Gathering Data: Things to Consider Before Gathering Data")

Gathering data: things to consider before gathering data

Data gathering involves first determining what data you need, then where to find it, how to get it, and how to keep it safe. This video introduces you to things you should consider when gathering data.

Learning goals

By the end of this video you should understand how to determine what data you need, where to find it, how to gather data, whether from existing sources, or by doing a survey, and how to keep it safe. Note that data gathering is usually called data collection.

Steps of a data journey

(Diagram of the Steps of the data journey: Step 1 - define, find, gather; Step 2 - explore, clean, describe; Step 3 - analyze, model; Step 4 - tell the story. The data journey is supported by a foundation of stewardship, metadata, standards and quality.)

When conducting a survey, this diagram is a visual representation of the data journey from collecting the data to exploring, cleaning, describing, and understanding the data to analyzing the data, and Lastly to communicating with others the story that day to tell.

Step 1: Find, gather and protect

(Diagram of the Steps of the data journey with an emphasis on Step 1 - Find, gather, protect.)

(Text on screen: Showing relationship between two things)

Looking into how to gather data is part of the find gather an protect step of the data journey some data are gathered for statistical or research purposes in other situations data are gathered for regulatory purposes or to provide an individualized service to Canadians no matter what the purposes for data gathering the aspects to consider are similar.

Determining what data you need

The first thing to consider before gathering data is to fully articulate what questions you're trying to answer. Who do you want to draw conclusions about? Is it all Canadians or all businesses in a certain sector of the economy? This is the target population. Next. What's the individual unit you want to look at? Is it a person, family, household, or a business? This is called the unit of observation.

What is the time frame you want to look at? Do you want to look at only one period of time, or do you want to have data for multiple time periods? Also, what level of quality do you need in the data when looking at different data sources? Consider how and for what purpose the data was created.

Will IT support the level of analysis that you want to do? What characteristics or attributes are you interested in? Are they all available on a single data source, or will you have to use two or more different data sources? It's important to know at the outset what you looking for and then to assess all potential data sources against these criteria.

Where to find data

When you deciding which ones to use. The first place to look for data are open source is the Government of Canada has a wealth of data available to all Canadians in the open data portal. Statistics Canada has public use microdata files, aggregated data products and many data products free for download. Online sources are also an option.

Data sources are also available, but with some restrictions on who can use them or out of cost. Statistics Canada offers researchers access to data through research, data centers. Statistics Canada also offers remote access to data under certain conditions under certain constraints. Service providers such as Internet and power companies, offer data products, sometimes for a fee if no existing data will meet your needs, you can do a survey to collect new data as a last resort. We want to emphasize it. Doing a survey should be a last resort. It's by far the most costly and complex option for gathering data. To learn more about how to do a survey, please refer to the course surveys from start to finish. Course code 10H0085 on the Statistics Canada website.

How to gather data

The first step in gathering data is to prepare a plan. The plan should cover which data source or sources will be used in all the steps to acquire the data. For example, what are the steps if there's a protocol that must be followed, is it necessary to negotiate with the data owner, estimate the time it will take to get the data and the cost both in terms of fees, if any, an storage costs take into account the skill set required for gathering the data, the plan could include a business case to explain our request for funding. The data might be structured, meaning it's already in some sort of database or format where the variables are separated, or it might be unstructured, such as sensor data or web scraped data that will require some manipulation to put it into a usable format. For more information about day to see the video on types of data.

No matter where the data come from, the quality of the data needs to be monitored throughout the gathering process to ensure that anomalies responded. Once the data are gathered, the next steps are to clean Explorer and describe the data. For more about these steps, see the videos for the clean Explorer and describe step in the data journey.

Keeping data safe

When you gather data, you need to consider the following privacy by collecting only the information that is needed to reach your objective security. By keeping data safe from unauthorized access and use confidentiality by not releasing information that could directly or indirectly identify information sources, transparency in your process is consult your organization's policies and guidelines to ensure that your meeting privacy and security requirements.

Canada has municipal, provincial, territorial and national jurisdictions that govern privacy and security requirements. Consult these as well as your organization's privacy and security policies and guidelines as they relate to your data gathering exercise.

Recap of key points

Data gathering involves first articulating what questions you're trying to answer. Next, look for existing open source data. If you can't find what you need there, try existing sources that have some restrictions as a last resort, do a survey to collect new data. Make a plan for all the steps and gathering data. Be sure to protect the privacy and security of the data.

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Nunavut Government Employee Survey 2021

Getting started

Why are we conducting this survey?

This survey will collect data from employees who work in Nunavut for the Government of Nunavut and the Government of Canada. Questions will be asked about their experiences in the workplace, including their interest in learning, training and career advancement.

The information will be used to inform the Nunavut Inuit Labour Force Analysis, and will also be used by governments and Inuit organizations to find ways to increase Inuit employment in government to levels that are representative of the population, as per Article 23 of the Nunavut Agreement.

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

Although voluntary, your participation is important so that the information collected is as accurate and complete as possible.

Other important information

Authorization and confidentiality

Data are collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19. Your information will be kept strictly confidential.

Record linkages

To enhance the data from this survey and to reduce the reporting burden, Statistics Canada will combine the information you provide with information from the Government of Nunavut or Government of Canada employee lists.

Statistics Canada may also combine the information you provide with other survey or administrative data sources.

Contact us if you have any questions or concerns about record linkage:

Email: infostats@statcan.gc.ca

Telephone: 1-877-949-9492

Mail: Chief Statistician of Canada
Statistics Canada
Attention Director, Centre for Indigenous Statistics and Partnerships
150 Tunney's Pasture Driveway
Ottawa, Ontario
K1A 0T6

General information

The following questions are about sex at birth and gender.

1. What was your sex at birth?

Sex refers to sex assigned at birth.

  • Male
  • Female

2. What is your gender?

Gender refers to current gender which may be different from sex assigned at birth and may be different from what is indicated on legal documents.

Is it:

  • Male
  • Female
  • Or please specify
    • Specify your gender

3. Please verify that all of the information is correct.

Your

  • Sex assigned at birth:
  • Gender:

4. What is your age?

  • 19 years or younger
  • 20 to 24 years
  • 25 to 29 years
  • 30 to 34 years
  • 35 to 39 years
  • 40 to 44 years
  • 45 to 49 years
  • 50 to 54 years
  • 55 to 59 years
  • 60 to 64 years
  • 65 years or older

The next few questions will help determine what questions you will be asked in the rest of the survey.

5. Are you Inuk?

  • Yes
  • No

6. Are you an Inuk enrolled under the Nunavut Agreement?

i.e., a beneficiary of the Nunavut Land Claims Agreement

  • Yes
  • No, I am enrolled under a different land claims agreement
  • No, I am not enrolled under any land claims agreement
  • Don't know

Current employment

7. Do you have more than one paid job or business?

  • Yes
  • No

8. Who is your current (territorial or federal government) employer?

Refer to the government job where you work the most number of hours per week.

  • Government of Nunavut (GN)
    e.g., health, education
  • Nunavut Arctic College
  • Nunavut Housing Corporation
  • Qulliq Energy Corporation
  • Nunavut Business Credit Corporation
  • Nunavut Development Corporation
  • Government of Canada (GoC)
  • I am no longer employed in any of the above government organizations in Nunavut

9. Which of the following would best describe your employment type?

Please refer to the Government of Canada job at which you work the most number of hours per week.

  • Indeterminate (permanent)
  • Term or contract
    Exclude student employment.
  • Casual
    Include student employment.
  • Seasonal
    i.e., work a portion of a year (season) each year

10. Which of the following would best describe your employment type?

Please refer to the Government of Nunavut job at which you work the most number of hours per week.

  • Indeterminate (permanent)
  • Term or contract
  • Substitute teacher
  • Relief worker
  • Casual
  • Seasonal
    i.e., work a portion of a year (season) each year
  • Summer Student Employment Equity Program

11. How long have you been a casual employee?

  • Less than 4 months
  • 4 months to less than 1 year
  • 1 year to less than 2 years
  • 2 years to less than 5 years
  • 5 years or more

12. How many hours do you usually work per week at your government job?

Please refer to the territorial or federal job at which you work the most number of hours.

  • Less than 10 hours per week
  • 10 hours to less than 20 hours per week
  • 20 hours to less than 30 hours per week
  • 30 hours to less than 37.5 hours per week
  • 37.5 hours or more per week

Housing

13. What is your current housing situation?

  • Staff housing
  • Private rental
  • Home owner
  • Public housing
  • Other
    • Specify the type of housing

14. How did you obtain staff housing?

  • Staff housing was assigned with my job
  • Applied for staff housing
  • Other
    • Specify how you obtained staff housing
  • Don't know

15. How long have you been in staff housing?

  • Less than 2 years
  • 2 years to less than 5 years
  • 5 years to less than 10 years
  • 10 years or more

16. Have you applied for staff housing?

  • Yes
  • No
  • Not eligible for staff housing
  • Don't know

17. How long have you been on the waiting list for staff housing?

  • Less than 6 months
  • 6 months to less than 1 year
  • 1 year to less than 3 years
  • 3 years or more
  • Don't know
  • Does not apply
    e.g., application for housing was denied, application still in process

Child care responsibilities

18. Are you a parent or guardian of a child under 12 or an older child who requires supervision?

  • Yes
  • No

19. Do you (also) help care for someone else's children?

Include only unpaid care.
e.g., looking after a grandchild or a niece or nephew

  • Yes
  • No

20. In the past 12 months, did you have to take any time off from work to care for a child?

  • Yes
    • Was it unpaid, paid, or both?
      Exclude maternity, parental or adoption leave.
      • Unpaid
      • Paid
      • Both
  • No

21. In the past 12 months, how much unpaid time did you take off from work to care for a child?

Include leave without pay.
If you missed partial hours or days, estimate to the nearest day.

  • Less than 1 day
  • 1 day to 2 days
  • 3 days to 5 days
  • 5 days to 10 days
  • More than 10 days

22. In the past 12 months, did you have to refuse work in order to care for a child?

  • Yes
    • How many times?
      • 1 to 2 times
      • 3 to 5 times
      • More than 5 times
      • Don't know
  • No

23. What is your regular child care arrangement for those children for whom you are a parent or guardian?

Include also any arrangements made for school age children before and after school.
Exclude summer school break.
Select all that apply.

  1. Do not use child care
    OR
  2. I am not responsible for child care arrangements
    OR
  3. Daycare centre or child care centre
  4. Nursery school or preschool
    e.g., Head Start
  5. Before or after school program
  6. Parent or guardian
  7. Relatives
    e.g., grandparent, aunt, uncle, sibling
  8. Non-relatives
    e.g., babysitter, friend, neighbour
  9. Other
    • Specify the child care arrangement

24. Overall, do these child care arrangements meet your needs?

  • Yes
  • No

25. What would help you to better meet your child care responsibilities?

  • Please explain (1000 characters available)
    OR
  • No opinion

Relocating for work

26. In which community do you work?

If you work in more than one community, select the community where you usually work the most hours.
Note: If your community is not listed, then select "Other community within Nunavut" or "Outside Nunavut".

  • Arctic Bay
  • Arviat
  • Baker Lake
  • Cambridge Bay
  • Cape Dorset
  • Chesterfield Inlet
  • Clyde River
  • Coral Harbour
  • Gjoa Haven
  • Grise Fiord
  • Hall Beach
  • Igloolik
  • Iqaluit
  • Kimmirut
  • Kugaaruk
  • Kugluktuk
  • Pangnirtung
  • Pond Inlet
  • Qikiqtarjuaq
  • Rankin Inlet
  • Naujaat (Repulse Bay)
  • Resolute
  • Sanikiluaq
  • Taloyoak
  • Whale Cove
  • Other community within Nunavut
  • Outside Nunavut

27. Where do you consider to be your home community?

Please use your own definition of home community.
Note: If your community is not listed, then select "Other community within Nunavut" or "Outside Nunavut".

  • Arctic Bay
  • Arviat
  • Baker Lake
  • Cambridge Bay
  • Cape Dorset
  • Chesterfield Inlet
  • Clyde River
  • Coral Harbour
  • Gjoa Haven
  • Grise Fiord
  • Hall Beach
  • Igloolik
  • Iqaluit
  • Kimmirut
  • Kugaaruk
  • Kugluktuk
  • Pangnirtung
  • Pond Inlet
  • Qikiqtarjuaq
  • Rankin Inlet
  • Naujaat (Repulse Bay)
  • Resolute
  • Sanikiluaq
  • Taloyoak
  • Whale Cove
  • Other community within Nunavut
  • Outside Nunavut

28. Would you prefer to work in your home community if a similar government job was available?

  • Yes
  • No

29. Did you ever have to leave your home community in order to get a government job within Nunavut?

Include your current job.

  • Yes
  • No
  • Does not apply
    e.g., left by choice

30. To what extent would you be open to moving to a different community within Nunavut for another government job?

e.g., for a higher level job

  • Very open to moving
  • Somewhat open to moving
  • Not at all open to moving
  • Don't know

31. To which communities in Nunavut would you be open to moving?

Select all that apply.

  1. Any community
    OR
  2. Arctic Bay
  3. Arviat
  4. Baker Lake
  5. Cambridge Bay
  6. Cape Dorset
  7. Chesterfield Inlet
  8. Clyde River
  9. Coral Harbour
  10. Gjoa Haven
  11. Grise Fiord
  12. Hall Beach
  13. Igloolik
  14. Iqaluit
  15. Kimmirut
  16. Kugaaruk
  17. Kugluktuk
  18. Pangnirtung
  19. Pond Inlet
  20. Qikiqtarjuaq
  21. Rankin Inlet
  22. Naujaat (Repulse Bay)
  23. Resolute
  24. Sanikiluaq
  25. Taloyoak
  26. Whale Cove

32. Which factors would influence your openness to moving for another government job in Nunavut, if one was offered to you?

Select all that apply.

  1. Better pay
  2. Better access to benefits or better benefits
  3. An indeterminate (permanent) job
  4. Childcare supports or availability of childcare
  5. Better elder care supports
  6. Being closer to family
  7. Better opportunities for my children
  8. Availability of staff housing
  9. More learning and training opportunities
  10. Career development and advancement
  11. More flexibility in work schedule
  12. More presence of Inuit culture and language in the workplace

Government employment history

33. Before your current job, did you have a previous job in any level of the government either inside or outside Nunavut?

Include all previous federal, territorial, provincial or municipal government jobs inside or outside Nunavut.

  • Yes
  • No

34. In total, how long have you worked for the government?

Include your current job and all previous government jobs inside and outside Nunavut
Include work probation period.

  • Less than 1 year
  • 1 year to less than 5 years
  • 5 years to less than 10 years
  • 10 years to less than 20 years
  • 20 years or more

35. How long have you been in your current job?

Include work probation period.

  • Less than 1 year
  • 1 year to less than 5 years
  • 5 years to less than 10 years
  • 10 years to less than 20 years
  • 20 years or more

36. How did you find your current job?

  • Contacted employer directly
  • Was offered job by employer without applying
    e.g., internal transfer
  • Word of mouth
    e.g., through co-workers, friends, relatives
  • Advertisements
    e.g., newspapers, community bulletin boards, radio, magazines
  • Social media
    e.g., Facebook, Twitter, LinkedIn
  • Other websites
    e.g., government websites, job search websites
  • Community events
    e.g., trade shows, career fairs
  • Internal posting
  • Contact with employment or economic development agencies
    e.g., Service Canada Centre, Inuit organizations
  • Training programs
    e.g., internships, pre-employment programs
  • School guidance or career counsellor
  • Recruiting firm, human resources specialists
  • Other
    • Specify how you found your current job

Job requirements of your current job

37. Based on the job posting for your current job, do you remember what the requirements were to fill the position?

  • Yes
  • No
  • Does not apply
    e.g., there was no job posting, I did not have access to my job posting

38. In order to get your current job, were any of the following required?

If it was listed as an asset or "nice to have", select "No".

In order to get your current job, were any of the following required?"
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Yes No Don't know
Knowledge of Inuit culture, society and economy      
Knowledge of Nunavut's environment and land      
Nunavut community experience
Familiarity with people, practices and relationships in a Nunavut community.
     
Knowledge of the Nunavut Agreement
Also known as the Nunavut Land Claims Agreement.
     
Fluency in Inuktitut or Inuinnaqtun      
Fluency in English      
Fluency in French      

39. In order to get your current job, what was the highest level of education or equivalency required?

  • University level or equivalent
  • College level or apprenticeship training or equivalent
  • High school or occupation-specific training or equivalent
  • Grade 10
  • Less than Grade 10
  • Don't know

40. In order to get your current job, how many years of experience were required?

  • Less than 1 year
  • 1 year to less than 2 years
  • 2 years to less than 5 years
  • 5 years to less than 10 years
  • 10 years or more
  • No specific experience requirement
  • Don't know

Interview for your current job

41. Did you have to do a formal interview in order to get your current job?

  • Yes
  • No
  • Don't know

42. During your job interview, to the best of your knowledge, was at least one of the people interviewing you Inuk?

  • Yes
  • No
  • Don't know

43. Were you informed in advance that you could be interviewed in the language of your choice?

  • Yes
  • No
  • Don't know

44. In what languages were you interviewed?

Select all that apply.

  1. Inuktitut
  2. Inuinnaqtun
  3. English
  4. French
  5. Other
    OR
  6. Don't know

45. Was this the language / Were these the languages in which you wanted to be interviewed?

  • Yes
  • No
    • In what languages would you prefer to have been interviewed?
      Select all that apply.
      1. Inuktitut
      2. Inuinnaqtun
      3. English
      4. French
      5. Other
        • Specify what language

46. If you wanted an interpreter or translator during the interview, was one available?

  • Yes
  • No
  • Didn't want or need one
  • Wasn't informed I could have one
  • Don't know

Overall hiring process

47. To what extent do you agree or disagree with the following statement?

Where I work, the process of hiring a person for a job is done fairly.

  • Strongly agree
  • Somewhat agree
  • Neither agree nor disagree
  • Somewhat disagree
  • Strongly disagree
  • Don't know

48. In what way do you believe the process of hiring a person for a job is unfair?

Select all that apply.

  1. Job requirements are too strict
  2. Qualified candidates are screened out
  3. Hiring process is too long or complex
  4. Racial or cultural discrimination
  5. Persons with disabilities are not accommodated
  6. Language of choice is not available in an interview
  7. Hiring process is not objective
    e.g., some people get hired based on who they know
  8. Other
    • Specify how it is unfair

Language fluency

49. What languages can you speak well enough to use at work?

Select all that apply.

  1. Inuktitut
  2. Inuinnaqtun
  3. English
  4. French
  5. Other

50. What languages can you understand well enough to use at work?

Select all that apply.

  1. Inuktitut
  2. Inuinnaqtun
  3. English
  4. French
  5. Other

51. What languages can you read well enough to use at work?

Select all that apply.

  1. Inuktitut- Syllabics
  2. Inuktitut- Roman Orthography
  3. Inuinnaqtun
  4. English
  5. French
  6. Other

52. What languages can you write well enough to use at work?

Select all that apply.

  1. Inuktitut- Syllabics
  2. Inuktitut- Roman Orthography
  3. Inuinnaqtun
  4. English
  5. French
  6. Other

53. Are you interested in learning or improving your fluency in any of the following languages?

Select all that apply.

  1. Inuktitut
  2. Inuinnaqtun
  3. English
  4. French
    OR
  5. None of the above

Languages used at work

54. How often do you use Inuktitut or Inuinnaqtun at work?

If a category does not apply to you or you are not sure, select "does not apply".

How often do you use Inuktitut or Inuinnaqtun at work?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Always or often Sometimes Rarely Never Does not apply
With your supervisor          
With your co-workers          
With the public          
In meetings          
Using email          
Overall          

55. How important is it to you personally to be able to use Inuktitut or Inuinnaqtun in your workplace?

  • Very important
  • Somewhat important
  • Not important

56. In what languages do you prefer to work?

Select your languages of choice for work, even if you do not currently work in those languages.
Select all that apply.

  1. Inuktitut
  2. Inuinnaqtun
  3. English
  4. French
  5. Other
    OR
  6. No preference

General perceptions about Inuit Societal Values (ISV) and Inuit Qaujimajatuqangit (IQ) in the workplace

57. To what extent do you agree or disagree with the following statements about Inuit Societal Values (ISV) and Inuit Qaujimajatuqangit (IQ) in the workplace?

To what extent do you agree or disagree with the following statements about Inuit Societal Values (ISV) and Inuit Qaujimajatuqangit (IQ) in the workplace?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Strongly agree Somewhat agree Neither agree nor disagree Somewhat disagree Strongly disagree
In my workplace, respect for co-workers, positive working relationships and consideration of others is encouraged.
Inuuqatigiitsiarniq: respecting others, relationships and caring for people.
         
In my workplace, I feel welcome and included.
Tunnganarniq: fostering good spirit by being open, welcoming and inclusive.
         
I have the flexibility to be involved in cultural and other activities outside of the workplace during work hours.
Pijitsirniq: serving and providing for family or community, or both.
         
In my workplace, decisions are made through teamwork, cooperation, and consensus.
Aajiiqatigiinniq: decision making through discussion and consensus.
         
In my workplace, I feel supported in developing new job-related skills.
Pilimmaksarniq or Pijariuqsarniq: development of skills through observation, mentoring, practice and effort.
         
In my workplace, we have a shared understanding of our goals and a vision of what we are trying to achieve.
Piliriqatigiinniq or Ikajuqtigiiniq: working together for a common cause.
         
In my workplace, ideas are welcome and we are encouraged to try new ways of doing things.
Qanuqtuurniq: being innovative and resourceful.
         
In my workplace, knowledge of Nunavut's environment and land is valued.
Avatittinnik Kamatsiarniq: respect and care for the land, animals and the environment.
         

Your direct supervisor

58. To the best of your knowledge, is the person who supervises you Inuk or non-Inuk?

If you have more than one supervisor, think of the one you have the most contact with.

  • Inuk
  • Non-Inuk
  • Do not have a supervisor
  • Don't know

59. To what extent do you agree or disagree with the following statements?

To what extent do you agree or disagree with the following statements?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Strongly agree Somewhat agree Neither agree nor disagree Somewhat disagree Strongly disagree Don't Know
My direct supervisor supports me to learn on the job or take training.            
My direct supervisor supports me to identify and achieve career goals.            
My direct supervisor understands Inuit culture and society.            
My direct supervisor supports and promotes Inuit culture in the workplace.            

60. Has your direct supervisor ever encouraged you to apply for a promotion?

For the purpose of this survey, a promotion means a higher level job with more responsibilities, or a move from a casual, relief or substitute teacher position to a term or indeterminate position.

  • Yes
  • No

General perceptions and attitudes about your workplace

61. Thinking about your current job, how satisfied or dissatisfied are you with the following aspects of your work?

If a category does not apply to you or you are not sure, select "Does not apply".

Thinking about your current job, how satisfied or dissatisfied are you with the following aspects of your work?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Very satisfied Somewhat satisfied Somewhat dissatisfied Very dissatisfied Does not apply
Pay          
Benefits          
Housing allowance          
Availability of staff housing          
Cost of staff housing          
Availability of childcare          
Flexibility to attend to my childcare responsibilities          
Flexibility to attend to my other family and community responsibilities          
Learning and training opportunities          
Support for career development and advancement          
Workload          
Flexibility in work schedule          
Job security
i.e., confidence that you will not lose your job unexpectedly
         
Relationship with supervisor          
Relationships with co-workers          
Rate of staff turnover
i.e., how often employees leave and are replaced
         
Ability to work in my community of choice          
Ability to work in my language of choice          
Number of Inuit in my workplace          
My job overall          

62. To what extent do you agree or disagree with the following statements?

To what extent do you agree or disagree with the following statements?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Strongly agree Somewhat agree Neither agree nor disagree Somewhat disagree Strongly disagree Don't know
In my workplace, knowledge of Inuit culture, society and economy is valued.            
In my workplace, Nunavut community experience is valued.
Nunavut community experience refers to familiarity with people, practices and relationships in a Nunavut community.
           

63. To what extent do you agree or disagree with the following statements?

To what extent do you agree or disagree with the following statements?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Strongly agree Somewhat agree Neither agree nor disagree Somewhat disagree Strongly disagree Don't know
My employer works hard to eliminate discrimination in the workplace            
My employer works hard to eliminate harassment (e.g., bullying) in the workplace            

Interest in a permanent job

64. Are you interested in an indeterminate (permanent) job with any of the following governments in Nunavut?

Select all that apply.

  1. Government of Canada in Nunavut
  2. Government of Nunavut
    Include agencies, boards and corporations.
  3. Hamlet or municipal government
    OR
  4. Not interested in an indeterminate (permanent) position with any government

Employment plans in the next 2 years

65. In the next two years, what are your employment plans?

Select all that apply.

  1. Stay in my current job
  2. Apply for a higher level job with any government within Nunavut
  3. Apply to move from a casual, relief or substitute teacher position to a term or indeterminate position
  4. Pursue a different government job in Nunavut
  5. Pursue a non-government job in Nunavut
  6. Retire
  7. Not planning on working at any job
  8. Take temporary leave to pursue additional education
  9. Take temporary leave for other reasons
    e.g., to provide care for family, maternity leave, parental leave, take my deferred leave
  10. Move away from Nunavut
    OR
  11. Don't know

66. In the next two years, what best describes your employment plans?

  • Stay in my current job
  • Apply for a higher level job with any government within Nunavut
  • Apply to move from a casual, relief or substitute teacher position to a term or indeterminate position
  • Pursue a different government job in Nunavut
  • Pursue a non-government job in Nunavut
  • Retire
  • Not planning on working at any job
  • Take temporary leave to pursue additional education
  • Take temporary leave for other reasons
    e.g., to provide care for family, maternity leave, parental leave, take my deferred leave
  • Move away from Nunavut

Interest in and barriers to career advancement

67. If you were going to apply for a promotion, would you know how to do the following?

For the purpose of this survey, a promotion means a higher level job with more responsibilities, or a move from a casual, relief or substitute teacher position to a term or indeterminate position.

If you were going to apply for a promotion, would you know how to do the following?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Yes Somewhat No
Go through the hiring process
e.g., find available jobs, go through the application process
     
Write a detailed résumé (CV)      
Write a cover letter      
Do an effective interview as the candidate      

68. Have you received a promotion in the past 2 years?

  • Yes
    • How did you get your most recent promotion?
      • Applied to a job posting, either internal or external
      • Received a direct appointment
      • Received an acting assignment
      • Advanced through a development program
        i.e., promotion progression
      • Other
        • Specify how you got your most recent promotion
  • No

69. Have you applied for a promotion in the past 2 years?

  • Yes
  • No

70. Why have you not applied for a promotion?

Select all that apply.

  1. Received a promotion without applying
  2. I am happy with my current job; not interested in a change right now
  3. Timing has not been right; plan to apply in the future
  4. Too much travel required
  5. Family responsibilities
    e.g., child and elder care
  6. I am concerned that I will experience racial or cultural discrimination
  7. Have not been encouraged by management
  8. No available jobs that match my interests
  9. No available jobs in my community
  10. Can't get required training in my community
  11. Don't meet the educational, experience or equivalency requirements
  12. Don't have adequate technical skills
    e.g., plumbing, accounting, engineering
  13. Don't have adequate language skills
  14. Not interested in the managerial role
  15. Don't want the extra responsibility, workload or inflexibility
  16. Other reasons

71. Last time you applied for a promotion, were you successful in obtaining the job?

  • Yes
  • No
  • Withdrew from application process
  • Don't know
    e.g., application still in progress

72. In relation to the last time you applied for a promotion, do you agree or disagree with the following statements?

For the purpose of this survey, a promotion means a higher level job with more responsibilities, or a move from a casual, relief or substitute teacher position to a term or indeterminate position.

In relation to the last time you applied for a promotion, do you agree or disagree with the following statements?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Agree Disagree Don't know Does not apply
My previous work experience was considered        
The education or equivalency requirements were appropriate
i.e., not inflated or too high
       
The work experience or technical skill requirements were appropriate
i.e., not inflated or too high
       
The language requirements were fair        
The interview questions were relevant and fair        
My language of choice was available in the interview        
A variety of options were offered to me during the testing process
e.g., oral test was an option
       
The hiring process was impartial
e.g., it did not favour a specific candidate
       
The hiring process was free of racial and cultural discrimination        
The hiring process was free of sex and gender discrimination        
I was accommodated due to my disability        
The length of the hiring process was reasonable        
The overall process was fair        

Formal education

73. Did you complete a high school diploma or its equivalent?

Examples of secondary (high) school equivalency certificates are Pathway to Adult Secondary School (PASS), General Educational Development (GED) and Adult Basic Education (ABE).

  • Yes
  • No
    • What is the highest grade of elementary school or high school you have ever completed?
      • Less than grade 10
      • Grade 10
      • Grade 11
      • Grade 12 or grade 13

74. Have you completed any of the following certificates, diplomas or degrees?

Select all that apply.

  1. Registered apprenticeship or other trades certificate or diploma
    e.g., Municipal Government Certificate from the Nunavut Municipal Training Organization or Nunavut Arctic College, workplace health and safety certificate
  2. Nunavut Sivuniksavut diploma or certificate
  3. College or similar certificate or diploma
    Include Nunavut Arctic College diploma or certificate, other territorial or provincial colleges, RCMP Academy.
    Exclude Nunavut Sivuniksavut
  4. University certificate, diploma or degree
    OR
  5. None of the above

Employer support for formal education

75. In the past 5 years, have you taken any education leave?

  • Yes
    • Was it paid, unpaid or both?
      • Paid
      • Unpaid
      • Both
  • No
    • Why not?
      Select all that apply.
      1. Not interested
      2. Applied but was denied
      3. Other reason
        • Specify the reason
  • Not eligible
    e.g., do not have education leave with my position

76. Are you currently attending school, college or university, either in-person or online?

Include only courses that can be used as credit towards a certificate, diploma or degree.
Exclude courses taken for job-related training (e.g., Canada School of Public Service).

  • Yes
    • Is this during or outside your regular work hours?
      Select all that apply.
      1. During regular work hours
      2. Outside regular work hours
        OR
      3. I don't have regular work hours
  • No

77. Towards what type of certificate, diploma or degree are you currently working?

If you are taking more than one program, refer to the highest certificate, diploma or degree.

  • High school diploma or a high school equivalency certificate
    e.g., PASS, GED, ABE
  • Registered apprenticeship or other trades certificate or diploma
    e.g., Municipal Government Certificate from the Nunavut Municipal Training Organization or Nunavut Arctic College, workplace health and safety certificates
  • Nunavut Sivuniksavut diploma or certificate
  • College or similar certificate or diploma
    Include Nunavut Arctic College diploma or certificate, other territorial or provincial colleges, RCMP Academy.
    Exclude Nunavut Sivuniksavut.
  • University certificate, diploma or degree

78. Is the cost of tuition, exam fees, books or other supplies paid for by your government employer?

  • Yes, fully
  • Yes, partially
  • No, not at all
  • Don't know

79. Does your employer pay your salary while you are at school during your regular work hours?

  • Yes, fully
  • Yes, partially
  • No, not at all
  • Don't know

80. Is there a particular type of formal education (schooling) you want to take but have not taken?

  • Yes
    • Would you like to obtain any of the following certificates, diplomas or degrees?
      Select all that apply.
      1. High school diploma or a high school equivalency certificate
        e.g., PASS, GED, ABE
      2. Registered apprenticeship or other trades certificate or diploma
        e.g., Municipal Government Certificate from the Nunavut Municipal Training Organization or Nunavut Arctic College, workplace health and safety certificates
      3. Nunavut Sivuniksavut diploma or certificate
      4. College or similar certificate or diploma
        Include Nunavut Arctic College diploma or certificate, other territorial or provincial colleges, RCMP Academy.
        Exclude Nunavut Sivuniksavut.
      5. University certificate, diploma or degree
      6. Other
  • No

Skills and experiences

81. Thinking of all your experiences at work, in school and everyday life, do you have any of the following experience working with others or the public?

Select all that apply.

  1. Speaking to clients, groups or the public
    e.g., storytelling, performing, public speaking, presenting
  2. Participating on a board or in an organization
    e.g., Nunavut Wildlife Management Board, National Inuit Youth Council, Nunavummi Disabilities Makinnasuqtit Society
  3. Working in a team
    e.g., explaining ideas to others, participating in group discussions, reaching a consensus
  4. Managing, mentoring or leading people
    e.g., Northern Youth Abroad Program mentor, Students on Ice mentor, supervisor or manager
  5. Instructing or teaching
    e.g., leading IQ days, instructing cultural activities and skills, teaching in a classroom
    OR
  6. None of the above so far

82. Thinking of all your experiences at work, in school and everyday life, do you have any of the following experience using reading, writing and numerical skills?

Select all that apply.

  1. Working with numbers
    e.g., household budgets, balancing cash registers, departmental budgets, financial reporting
  2. Communicating through emails or letters
  3. Reading and writing articles, essays, reports, memos or technical documents
  4. Following written instructions, filling in forms and doing data entry
    OR
  5. None of the above so far

83. Thinking of all your experiences at work, in school and everyday life, do you have any of the following experience with Inuit culture and language?

Select all that apply.

  1. Interpreting or translating Inuit language
  2. Using knowledge of Inuit culture, society and economy
  3. Using knowledge of Nunavut environment and land
    e.g., IQ days, search and rescue training, going out on the land, camping, preparing for a hunt
    OR
  4. None of the above so far

84. Thinking of all your experiences at work, in school and everyday life, do you have any of the following other skills?

Select all that apply.

  1. Planning and organizing projects
    e.g., hunting trips, managing a household, sewing groups, community event
  2. Researching or analyzing information
  3. Problem solving
    e.g., identifying the advantages and disadvantages of a solution to a problem
  4. Doing field or site inspection or site protection
    e.g., bear monitoring
  5. Working with your hands
    e.g., repairing equipment, carving, sewing, operating specialized equipment or motor vehicles
    OR
  6. None of the above so far

Job-related training

85. In the past 12 months, have you taken any of the following types of job-related training?

Select all that apply.

  1. Computer software skills training
    e.g., email, Word, Excel, Internet
  2. Computer hardware skills training
    e.g., maintenance and repair of hardware, information technology (IT) services
  3. Personal development training
    e.g., time management, stress management, work-life balance strategies
  4. Teamwork training
    e.g., group decision-making, team building
  5. Communication skills training
    e.g., briefing notes, oral presentations
  6. Job search skills training
    e.g., résumé writing
  7. Professional training
    e.g., legal, finance, health care, policy, paramedics, firefighters, nurses
  8. Leadership and management training
    e.g., leadership development, human resources, financial, project management
  9. Training in Inuit culture, society and economy
    Exclude language training.
  10. Language training
    • For what languages?
      Select all that apply.
      1. Inuktitut
      2. Inuinnaqtun
      3. English
      4. French
      5. Other languages
  11. Other
    • Specify any other job-related training
    OR
  12. No job-related training in the past 12 months

86. Did you have to pay for any of the job-related training you took in the past 12 months?

  • Yes
  • No

87. For what reasons did you take training?

Select all that apply.

  1. It was mandatory for my job
    e.g., required safety training or annual professional certification
  2. Personal interest
  3. It will help me do my current job
  4. It will help me achieve my career goals
  5. My supervisor required me to take it
  6. My supervisor encouraged me
  7. Offered under my department's Inuit Employment Plan (IEP)
  8. Other reason

88. Would you be interested in taking any of the following types of job-related training if you had the opportunity?

Select all that apply.

  1. Additional computer software skills training
    e.g., email, Word, Excel, Internet
  2. Additional computer hardware skills training
    e.g., maintenance and repair of hardware, information technology (IT) services
  3. Additional personal development training
    e.g., time management, stress management, work-life balance strategies
  4. Additional teamwork training
    e.g., group decision-making, team building
  5. Additional communication skills training
    e.g., briefing notes, oral presentations
  6. Additional job search skills training
    e.g., résumé writing
  7. Additional professional training
    e.g., legal, finance, health care, policy, paramedics, firefighters, nurses
  8. Additional leadership and management training
    e.g., leadership development, human resources, financial, project management
  9. Additional training in Inuit culture, society and economy
    Exclude language training.
  10. Additional language training
    • For what languages?
      Select all that apply.
      1. Inuktitut
      2. Inuinnaqtun
      3. English
      4. French
      5. Other languages
  11. Other
    • Specify any other type of job-related training you would be interested in
      OR
  12. Not interested in job-related training

89. Would you be more likely to take job-related training if it was offered in Inuktitut or Inuinnaqtun?

  • Yes
  • No
  • Already offered in Inuktitut or Inuinnaqtun

Learning activities at work

90. In the past 12 months, have you done any of the following learning activities at work?

Select all that apply.

  1. Received mentoring from a more senior employee or manager
  2. Acting positions, transfer assignments, secondments
  3. Development program or internship
    e.g., career development, specialized occupation, co-op
  4. Attended conferences
  5. Self-directed learning
    e.g., reading, searching the Internet, learning by doing, learning by observing
  6. Working with others
    e.g., teamwork, meetings, discussion, talking through challenges with co-workers or a manager
  7. Other
    • Specify any other learning activities done at work
    OR
  8. No learning activity at work in the past 12 months

91. In the next 12 months, would you like any of the following opportunities to learn at work?

Select all that apply.

  1. Receive mentoring from a more senior employee or manager
  2. Acting positions, transfer assignments, secondments
  3. Development program or internship
    e.g., career development, specialized occupation, co-op
  4. Attend conferences
  5. Self-directed learning
    e.g., reading, searching the Internet, learning by doing, learning by observing
  6. Working with others
    e.g., teamwork, meetings, discussion, talking through challenges with co-workers or a manager
  7. Other
    • Specify any other opportunities to learn at work
    OR
  8. I am not interested in any of the above activities in the next 12 months

Barriers to education and workplace learning

92. In the past 12 months, did you experience any of the following difficulties accessing education or training?

Select all that apply.

  1. Did not know what training or education was available
  2. Available training or education did not suit my interests or needs
  3. Lack of support from employer
    e.g., cost, not permitted to do the training on work time, not related to job
  4. Training not offered by my department's Inuit Employment Plan (IEP)
  5. Lack of time due to work-related reasons
  6. Lack of time due to family and personal reasons
  7. Training or education not available in my community nor online
    e.g., do not want to travel or move away, inconvenient
  8. Training or education not available in my language of choice
  9. Did not meet the program requirements or admission criteria
  10. Wasn't comfortable taking training or education
    e.g., lack of confidence, bad previous experience in school or training, afraid to ask
  11. Was denied due to operational requirements
  12. Other reason
    OR
  13. Did not experience any difficulties in accessing education or training in the past 12 months
    OR
  14. Not interested in education or training in the past 12 months

Supervisor identification

93. Did you supervise any staff in the past 12 months?

  • Yes
    • During this time did you supervise any Inuit staff?
      • Yes
      • No
      • Don't know
  • No

Supervisor support for Inuit employment

94. In the past 12 months, about how often have you discussed career advancement with your Inuit staff?

If you supervised more than one Inuit staff member, think of the average time spent per employee.

  • Weekly
  • Monthly
  • Once or twice in the past year
  • Not yet, I am new to supervising Inuit staff
  • Never
  • Does not apply

95. In the past 12 months, which of the following learning activities have you encouraged, provided or supported for Inuit staff?

Select all that apply.

  1. Learning through experiences in their family, community, and on the land during work hours
    e.g., child rearing, family and community leadership, hunting, sewing
  2. Formal education
    e.g., school, college, PASS
  3. Taking educational leave
  4. Workplace learning
    e.g., courses, seminars, conferences, workshops
  5. Mentoring
    i.e., learning with a more senior employee or manager to gain new skills and knowledge
  6. Acting positions, transfer assignments, secondments
  7. Development program or internship
    e.g., career development, specialized occupation, co-op
  8. Inuit language courses or training
  9. Self-directed learning
    e.g., reading, searching the Internet, learning by doing, learning by observing
  10. Working with others
    e.g., teamwork, meetings, discussions, talking through challenges with co-workers or a manager
  11. Other learning activities
    OR
  12. No learning activities in the past 12 months

Inuit Employment Plan

96. Does your department have an Inuit Employment Plan (IEP)?

  • Yes
    • Are you aware of the numerical targets and timelines in your departmental Inuit Employment Plan (IEP)?
      • Yes
      • Somewhat
      • No
  • No
  • Don't know

Participation in the hiring process

97. In the past 2 years, as a government employee, have you participated in the following activities related to the hiring process?

Include your experience with competitive and non-competitive job hiring processes.
Select all that apply.

  • Preparing for a hiring process
    1. Creating or reviewing job descriptions
    2. Developing job postings or advertisements
    3. Promoting job advertisements
      e.g., newspapers, LinkedIn, Facebook, websites, community bulletin boards
    4. Creating or evaluating screening criteria, interview guides, tests or other assessment materials
      OR
    5. I have not participated in any activity related to preparing for the hiring process in the past 2 years
  • Conducting the hiring process
    1. Assessing résumés, CVs, cover letters or applications
    2. Conducting or assessing tests
    3. Participating in the hiring or interview panel
    4. Interpreting or translating
    5. Reference checking
    6. Providing feedback to candidates
      OR
    7. I have not participated in any activity related to conducting the hiring process in the past 2 years
  • Other activities related to the hiring process
    • Specify any other activities

98. The last time you were involved in the hiring process, were any of the following done to facilitate hiring of Inuit applicants?

Select all that apply.

  1. Reserved position for Inuit only
  2. Job posting was translated into Inuktitut and Inuinnaqtun
  3. Required fluency in Inuktitut and Inuinnaqtun
  4. Included flexible education requirements or equivalencies
  5. Included flexible experience requirements or equivalencies
  6. Advertised job ads on the radio and in the communities
  7. Advertised job ads on social media
    e.g., Facebook
  8. Inuit were on the selection panel
  9. Interview was conducted in language of choice of the candidate
  10. Used a variety of testing procedures
    e.g., oral test in place of written test, allow additional time for test
  11. Used prior learning assessment
  12. Other
    • Specify any other activities done to facilitate the hiring of Inuit
    OR
  13. No specific efforts were made to facilitate the hiring of Inuit applicants
    OR
  14. Don't know

99. Were the following factors important in the hiring decision?

Were the following factors important in the hiring decision?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Yes No Don't know
Knowledge of Inuit culture, society and economy      
Knowledge of Nunavut's environment and land      
Nunavut community experience
Familiarity with people, practices and relationships in a Nunavut community
     
Knowledge of Nunavut's official languages
Inuktitut, Inuinnaqtun, English, French
     
Level of education or equivalencies      
Work experience      

100. The last time you were involved in the job hiring process, were there any Inuit who applied?

  • Yes
  • No
  • Don't know

101. Was at least one Inuk successful in the hiring process?

  • Yes
  • No
  • Don't know

102. Were there any Inuit who applied but were not hired?

  • Yes
  • No
  • Don't know

103. What prevented the Inuit candidates from being hired?

Select all that apply.

  1. Insufficient level of education or equivalencies
  2. Insufficient work experience
  3. Insufficient technical skills
    e.g., plumbing, accounting, engineering
  4. Insufficient fluency in Nunavut's official languages
  5. Insufficient information provided in job application
    e.g., not enough detail in résumé, cover letter, or screening questions
  6. Equivalencies were not considered
  7. Candidates had a criminal record
  8. Did not want the job
  9. Did not pass the interview
  10. Did not pass the written test
  11. Did not pass the reference check
  12. Other reason
    OR
  13. Don't know

Employment barriers and solutions

104. In your opinion, what are the 3 most important reasons why there are not more Inuit employees in the government?

  • Enter your reasons (1000 characters available)
    OR
  • No opinion

105. In your opinion, what are the 3 best solutions to increase the number of Inuit employees in the government?

Select a maximum of 3.

  1. Increase education or pre-employment training opportunities
  2. Increase on-the-job training opportunities
  3. Increase apprenticeships, mentorships and internships
  4. Provide government jobs in more communities
  5. Encourage youth to pursue further education
  6. Promote government jobs
    e.g., employee benefits, types of jobs available
  7. Ensure equivalencies are considered
  8. Ensure childcare is available
  9. Improve the education system
  10. Address social issues in communities
  11. Ensure staff housing is available
  12. Ensure adequate housing allowance
  13. Ensure a culturally inclusive and respectful work environment
  14. Have flexible work schedules to allow time for cultural activities
    e.g., hunting, harvesting
  15. Promote the use of Inuit languages at work
  16. Other
    • Specify any other solution to increase the number of Inuit employees in government
    OR
  17. No opinion

106. According to the last Nunavut Government Employee Survey, approximately 8 out of 10 Inuit working in the government are women.

What suggestions do you have to increase the number of Inuit men employed in government?

  • Enter your suggestions (1000 characters available)
    OR
  • No opinion

Data sharing agreement

107. Statistics Canada has signed an agreement with Nunavut Tunngavik Incorporated (NTI) and the Nunavut Bureau of Statistics (NBS) to share the information that you provided on this survey.

No identifiable information such as your name, address and phone number will be provided. NTI and the NBS have agreed to keep your information confidential and use it only for statistical purposes.

Do you agree to share your information with NTI and the NBS?

  • Yes
  • No

Feedback

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

Include the time spent gathering the necessary information.

  • Hours
  • Minutes

109. Do you have any comments about this questionnaire?

Enter your comments (1000 characters available)

2019 Survey of Commercial and Institutional Energy Use (Pre-Contact)

What will you need to complete this questionnaire?

For size of the building, you can refer to the Building Occupancy Permit, fore protection drawings, or architectural drawings.

Reporting instructions

  • Percentages should be rounded to whole numbers
  • When precise figures are not available, provide your best estimates.
  • Enter "0" if there is no value to report.

Definitions

Commercial building: A structure that is, partially or completely, used for commercial activities focusing on the exchange of goods or services for a profit.
e.g. stores, office buildings, restaurants, hotels, warehouses

Institutional building: A structure that is, partially or completely, used for institutional activities focusing on not-for-profit services of public interest.
e.g. schools, place of worship buildings, courthouses

Why have you been selected?

You have been selected because Statistics Canada uses a statistical method called sampling. It is an established way to determine characteristics of an entire population by surveying only part of the population. Buildings were selected as part of a random sample to represent other buildings of the same type (industry, geography, employee size). To ensure that the sample is an accurate reflection of the population as a whole, both nationally and regionally, it is important to have the participation of all those who have been selected through the sampling process.

Who should complete this questionnaire?

This questionnaire should be completed by the person most knowledge about the energy consumption and usage of this building.
i.e. someone who has access to energy bills and knowledge about the structure and details of this building
e.g. property manager, building manager, facilities manager, building owner

How do we protect your information?

Statistics Canada is committed to respecting the privacy of consultation participants. All personal information created, held or collected by the agency is protected in accordance with the Privacy Act.

Deadline for completing this questionnaire

Please complete this questionnaire and submit it within 14 days of receipt.

Other important information

Additional information about this survey can be found by selecting the following link: Survey of Commercial and Institutional Energy Use (SCIEU)

Printing your completed questionnaire

You can print this questionnaire once you have completed and submitted it.

Building information

1. Verify or provide the building information below and correct where needed.

Note: Building information modifications should only be done to correct an error.

  • Building address (number and street):
  • City:
  • Province or territory:
    • 1: Alberta
    • 2: British Columbia
    • 3: Manitoba
    • 4: New Brunswick
    • 5: Newfoundland and Labrador
    • 6: Northwest Territories
    • 7: Nova Scotia
    • 8: Nunavut
    • 9: Ontario
    • 10: Prince Edward Island
    • 11: Quebec
    • 12: Saskatchewan
    • 13: Yukon
  • Postal code:
    Example: A9A 9A9

Contact information

2. Verify of provide the contact information of the person who is filling out this questionnaire.

  • Company or Organization:
  • First name:
  • Last name:
  • Title:
  • Preferred language:
    • 1: English
    • 2: French
  • Email address:
    Example: user@example.gov.ca
  • Telephone number (including area code):
    Example: 123-123-1234
  • Extension number (if applicable):
  • Mailing address (number and street):
  • City:
  • Province, territory or state:
    • 1: Alberta
    • 2: British Columbia
    • 3: Manitoba
    • 4: New Brunswick
    • 5: Newfoundland and Labrador
    • 6: Northwest Territories
    • 7: Nova Scotia
    • 8: Nunavut
    • 9: Ontario
    • 10: Prince Edward Island
    • 11: Quebec
    • 12: Saskatchewan
    • 13: Yukon
    • 14: Alabama
    • 15: Alaska
    • 16: American Samoa
    • 17: Arizona
    • 18: Arkansas
    • 19: California
    • 20: Colorado
    • 21: Connecticut
    • 22: Delaware
    • 23: District of Columbia
    • 24: Federated States of Micronesia
    • 25: Florida
    • 26: Georgia
    • 27: Guam
    • 28: Hawaii
    • 29: Idaho
    • 30: Illinois
    • 31: Indiana
    • 32: Iowa
    • 33: Kansas
    • 34: Kentucky
    • 35: Louisiana
    • 36: Maine
    • 37: Marshall Islands
    • 38: Maryland
    • 39: Massachusetts
    • 40: Michigan
    • 41: Minnesota
    • 42: Mississippi
    • 43: Missouri
    • 44: Montana
    • 45: Nebraska
    • 46: Nevada
    • 47: New Hampshire
    • 48: New Jersey
    • 49: New Mexico
    • 50: New York
    • 51: North Carolina
    • 52: North Dakota
    • 53: Northern Mariana Islands
    • 54: Ohio
    • 55: Oklahoma
    • 56: Oregon
    • 57: Palau
    • 58: Pennsylvania
    • 59: Puerto Rico
    • 60: Rhode Island
    • 61: South Carolina
    • 62: South Dakota
    • 63: Tennessee
    • 64: Texas
    • 65: U.S. Minor Outlying Islands
    • 66: Utah
    • 67: Vermont
    • 68: Virgin Islands of the U.S.
    • 69: Virginia
    • 70: Washington
    • 71: West Virginia
    • 72: Wisconsin
    • 73: Wyoming
  • Postal code or ZIP code:
    Example: A9A 9A9 or 12345-1234
  • Country:
    • 1: Canada
    • 2: United States
    • 3: Other

Building characteristics

3. On December 31st, 2019, were there multiple buildings located at this address?

If there are multiple buildings associated with this address, please treat them as individual buildings throughout the rest of this questionnaire.

  • 1: Yes
  • 3: No

4. On December 31st, 2019, were there any other addresses associated with this building other than this address?

If there are multiple addresses associated with this building, please report for the entire building.

Units that are completely contained within a building should not be reported as a unique address (e.g., suites only accessible through a shared interior hallway).

  • 1: Yes
    How many addresses, other than this address, were associated with this building?
    Total additional addresses:
  • 3: No

5. Please provide information for the additional addresses associated with this building.

Address 1

  • Building address (number and street):
  • City:
  • Province or territory:
    • 1: Alberta
    • 2: British Columbia
    • 3: Manitoba
    • 4: New Brunswick
    • 5: Newfoundland and Labrador
    • 6: Northwest Territories
    • 7: Nova Scotia
    • 8: Nunavut
    • 9: Ontario
    • 10: Prince Edward Island
    • 11: Quebec
    • 12: Saskatchewan
    • 13: Yukon
  • Postal code:
    Example: A9A 9A9

6. Please provide the names of the building located at this address.

Include building that are part of a multi-building complex or campus if they have the same address.

  • Building name or unique identifier:

Building 1

7. On December 31st, 2019, how many commercial, institutional, or organizational units were in building 1?

Unit: A self-contained commercial, institutional, or organizational tenant space or suite within a building that may or may not have an exterior entrance. Exclude: kiosks and temporary structures without walls.

If you are the sole tenant or occupant, enter "1".

  • Total number of units in building 1:

8. On December 31st, 2019, which of the following categories best described building 1?

If more than one category applies, select the category which accounts for the largest area.

  • 1: Shopping centre (enclosed mall)
    A building with multiple stores, often "anchored" by one or more department stores, and with interior walkways. Most stores will not have entrances accessible from outside, with the exception of the "anchor" stores.
  • 2: Low rise linear units
    e.g., strip mall, industrial park, where units are beside each other and do not have separate units above or below them
  • 3: Commercial tower or office tower
    Office tower: A building where over 50% of the floor space is mainly used for or designed to be office and administrative space.
  • 4: None of the above
    Note: In the future, a questionnaire will be sent with questions on building characteristics, energy consumption and usage, building modifications, and building type specific questions.

9. Are you able to provide information for all the units within building 1?

  • 1: Yes
  • 3: No
    Are you able to provide information for one unit in building 1?
    • 1: Yes
    • 3: No

For the remainder of this questionnaire, please report information for one unit only.

10. On December 31st, 2019, what was the total floor area of building 1?

For size of the building, you can refer to the Building Occupancy Permit, fire protection drawings, or architectural drawings. The total floor area may be larger than the Gross Leasable Area (GLA).

Include floor area of all enclosed floors, mechanical rooms, common areas, basements, and annexes.

Exclude floor area associated with any indoor parking, partially enclosed parking, or portable structures.

When precise figures are not available, please provide your best estimate.

Unit of measure:

  • 1: Square feet
  • 2: Square metres

Total floor area of building:
OR

  • 1: Do not know

11. On December 31st, 2019, what was the total floor area of the reported unit?

For size of the reported unit, you can refer to the Building Occupancy Permit, fire protection drawings, or architectural drawing. The total floor area may be larger than the Gross Leasable Area (GLA).

Include floor area of all enclosed commercial, residential, and industrial floors, mechanical rooms, common areas, basements, and annexes, and other temporary areas within the reported unit, if applicable.

Exclude floor area associated with any indoor parking, partially enclosed parking, or portable structures.

When precise figures are not available, please provide your best estimate.

Unit of measure:

  • 1: Square feet
  • 2: Square metres

Total floor area of reported unit:
OR

  • 1: Do not know

12. On December 31st, 2019, which of the following activities or functions occurred in building 1?

Select all that apply.

  • 1: Bank branch
    Exclude ATM-only bank branches.
  • 2: Courthouse
    Include courtrooms, holding facilities and associated administrative spaces.
  • 3: Police station
    Include associated administrative space.
  • 4: Fire station
  • 5: Assisted daily care facility or residential care facility
    Exclude independent living retirement communities.
  • 6: Hotel, motel, hostel, or lodge
    Exclude condominiums or private residences rented out, vacation timeshares, residence halls for educational purposes, and barracks.
  • 7: Preschool or daycare
    Exclude private in-home services.
  • 8: Primary or secondary school
  • 9: Restaurant
    Exclude bars and nightclubs with only beverage sales, food trucks, and food delivery services.
  • 10: Food and beverage store
    Include grocery stores, pharmacies, convenience stores and alcoholic beverage stores.
  • 11: Retail store (non-food)
  • 12: Office space (medical)
  • 13: Office space (excluding medical)
  • 14: Recreation centre
  • 15: Ice rink
  • 16: Performing arts
  • 17: Cinema
  • 18: Place or worship
  • 19: Museum or gallery
  • 20: Library or archives
  • 21: Warehouse
  • 22: Vehicle dealership, repair, or storage
  • 23: Industrial
  • 24: Agricultural
  • 25: Residential
    Include occupied and vacant residential space.
  • 26: Vacant
    Include vacant commercial, institutional, and organizational space.
  • 27: Other
    • Specify other activity or function 1:
    • Specify other activity or function 2:
    • Specify other activity or function 3:
    • Specify other activity or function 4:
    • Specify other activity or function 5:
    • Specify other activity or function 6:
    • Specify other activity or function 7:
    • Specify other activity or function 8:
    • Specify other activity or function 9:
    • Specify other activity or function 10:

13. On December 31st, 2019, what was the percentage of floor space used for the following activities or functions in building 1?

Provide your best estimate rounded to the nearest percentage.

  • Bank branch
    Exclude ATM-only bank branches.
    Percentage of floor area:
  • Courthouse
    Include courtrooms, holding facilities and associated administrative spaces.
    Percentage of floor area:
  • Police station
    Include associated administrative space.
    Percentage of floor area:
  • Fire station
    Percentage of floor area:
  • Assisted daily care facility or residential care facility
    Exclude independent living retirement communities.
    Percentage of floor area:
  • Hotel, motel, hostel, or lodge
    Exclude condominiums or private residences rented out, vacation timeshares, residence halls for educational purposes, and barracks.
    Percentage of floor area:
  • Preschool or daycare
    Exclude private in-home services.
    Percentage of floor area:
  • Primary or secondary school
    Percentage of floor area:
  • Restaurant
    Exclude bars and nightclubs with only beverage sales, food trucks, and food delivery services.
    Percentage of floor area:
  • Food and beverage store
    Include grocery stores, pharmacies, convenience stores and alcoholic beverage stores.
    Percentage of floor area:
  • Retail store (non-food)
    Percentage of floor area:
  • Office space (medical)
    Percentage of floor area:
  • Office space (excluding medical)
    Percentage of floor area:
  • Recreation centre
    Percentage of floor area:
  • Ice rink
    Percentage of floor area:
  • Performing arts
    Percentage of floor area:
  • Cinema
    Percentage of floor area:
  • Place or worship
    Percentage of floor area:
  • Museum or gallery
    Percentage of floor area:
  • Library or archives
    Percentage of floor area:
  • Warehouse
    Percentage of floor area:
  • Vehicle dealership, repair, or storage
    Percentage of floor area:
  • Industrial
    Percentage of floor area:
  • Agricultural
    Percentage of floor area:
  • Residential
    Include occupied and vacant residential space.
  • Percentage of floor area:
    Vacant
  • Include vacant commercial, institutional, and organizational space.
    Percentage of floor area:
  • Other activity or function 1
    Percentage of floor area:
  • Other activity or function 2
    Percentage of floor area:
  • Other activity or function 3
    Percentage of floor area:
  • Other activity or function 4
    Percentage of floor area:
  • Other activity or function 5
    Percentage of floor area:
  • Other activity or function 6
    Percentage of floor area:
  • Other activity or function 7
    Percentage of floor area:
  • Other activity or function 8
    Percentage of floor area:
  • Other activity or function 9
    Percentage of floor area:
  • Other activity or function 10
    Percentage of floor area:

14. On December 31st, 2019, which of the following activities or functions occurred in the reported unit?

Select all that apply.

  • 1: Bank branch
    Exclude ATM-only bank branches.
  • 2: Courthouse
    Include courtrooms, holding facilities and associated administrative spaces.
  • 3: Police station
    Include associated administrative space.
  • 4: Fire station
  • 5: Assisted daily care facility or residential care facility
    Exclude independent living retirement communities.
  • 6: Hotel, motel, hostel, or lodge
    Exclude condominiums or private residences rented out, vacation timeshares, residence halls for educational purposes, and barracks.
  • 7: Preschool or daycare
    Exclude private in-home services.
  • 8: Primary or secondary school
  • 9: Restaurant
    Exclude bars and nightclubs with only beverage sales, food trucks, and food delivery services.
  • 10: Food and beverage store
    Include grocery stores, pharmacies, convenience stores and alcoholic beverage stores.
  • 11: Retail store (non-food)
  • 12: Office space (medical)
  • 13: Office space (excluding medical)
  • 14: Recreation centre
  • 15: Ice rink
  • 16: Performing arts
  • 17: Cinema
  • 18: Place or worship
  • 19: Museum or gallery
  • 20: Library or archives
  • 21: Warehouse
  • 22: Vehicle dealership, repair, or storage
  • 23: Industrial
  • 24: Agricultural
  • 25: Residential
    Include occupied and vacant residential space.
  • 26: Vacant
    Include vacant commercial, institutional, and organizational space.
  • 27: Other
    • Specify other activity or function 1:
    • Specify other activity or function 2:
    • Specify other activity or function 3:
    • Specify other activity or function 4:
    • Specify other activity or function 5:
    • Specify other activity or function 6:
    • Specify other activity or function 7:
    • Specify other activity or function 8:
    • Specify other activity or function 9:
    • Specify other activity or function 10:

15. On December 31st, 2019, what was the percentage of floor space used for the following activities or functions in the reported unit?

Provide your best estimate rounded to the nearest percentage.

  • Bank branch
    Exclude ATM-only bank branches.
    Percentage of floor area:
  • Courthouse
    Include courtrooms, holding facilities and associated administrative spaces.
    Percentage of floor area:
  • Police station
    Include associated administrative space.
    Percentage of floor area:
  • Fire station
    Percentage of floor area:
  • Assisted daily care facility or residential care facility
    Exclude independent living retirement communities.
    Percentage of floor area:
  • Hotel, motel, hostel, or lodge
    Exclude condominiums or private residences rented out, vacation timeshares, residence halls for educational purposes, and barracks.
    Percentage of floor area:
  • Preschool or daycare
    Exclude private in-home services.
    Percentage of floor area:
  • Primary or secondary school
    Percentage of floor area:
  • Restaurant
    Exclude bars and nightclubs with only beverage sales, food trucks, and food delivery services.
    Percentage of floor area:
  • Food and beverage store
    Include grocery stores, pharmacies, convenience stores and alcoholic beverage stores.
    Percentage of floor area:
  • Retail store (non-food)
    Percentage of floor area:
  • Office space (medical)
    Percentage of floor area:
  • Office space (excluding medical)
    Percentage of floor area:
  • Recreation centre
    Percentage of floor area:
  • Ice rink
    Percentage of floor area:
  • Performing arts
    Percentage of floor area:
  • Cinema
    Percentage of floor area:
  • Place or worship
    Percentage of floor area:
  • Museum or gallery
    Percentage of floor area:
  • Library or archives
    Percentage of floor area:
  • Warehouse
    Percentage of floor area:
  • Vehicle dealership, repair, or storage
    Percentage of floor area:
  • Industrial
    Percentage of floor area:
  • Agricultural
    Percentage of floor area:
  • Residential
    Include occupied and vacant residential space.
    Percentage of floor area:
  • Vacant
    Include vacant commercial, institutional, and organizational space.
    Percentage of floor area:
  • Other activity or function 1
    Percentage of floor area:
  • Other activity or function 2
    Percentage of floor area:
  • Other activity or function 3
    Percentage of floor area:
  • Other activity or function 4
    Percentage of floor area:
  • Other activity or function 5
    Percentage of floor area:
  • Other activity or function 6
    Percentage of floor area:
  • Other activity or function 7
    Percentage of floor area:
  • Other activity or function 8
    Percentage of floor area:
  • Other activity or function 9
    Percentage of floor area:
  • Other activity or function 10
    Percentage of floor area:

Building characteristics

16. On December 31st, 2019, how many commercial, institutional, or organizational units were in this building?

Unit: A self-contained commercial, institutional, or organizational tenant space or suite within a building that may or may not have an exterior entrance.

Exclude: kiosks and temporary structures without walls.

If you are the sole tenant or occupant, enter "1".

  • Total number of units in building:

17. On December 31st, 2019, which of the following categories best described this building?

If more than one category applies, select the category which accounts for the largest area.

  • 1: Shopping centre (enclosed mall)
    A building with multiple stores, often "anchored" by one or more department stores, and with interior walkways. Most stores will not have entrances accessible from outside, with the exception of the "anchor" stores.
  • 2: Low rise linear units
    e.g., strip mall, industrial park, where units are beside each other and do not have separate units above or below them
  • 3: Commercial or office tower:
    Office tower: A building where over 50% of the floor space is mainly used for or designed to be office and administrative space.
  • 4: None of the above
    Note: In the future, a questionnaire will be sent with questions on building characteristics, energy consumption and usage, building modifications, and building type specific questions.

18. Are you able to provide information for all the units within this building?

  • 1:Yes
  • 3:No
    Are you able to provide information for one unit in this building?
    • 1:Yes
    • 3:No

For the remainder of this questionnaire, please report information for one unit only.

19. On December 31st, 2019, what was the total floor area of this building?

For size of the building, you can refer to the Building Occupancy Permit, fire protection drawings, or architectural drawings. The total floor area may be larger than the Gross Leasable Area (GLA).

Include floor area of all enclosed floors, mechanical rooms, common areas, basements, and annexes.

Exclude floor area associated with any indoor parking, partially enclosed parking, or portable structures.

When precise figures are not available, please provide your best estimate.

Unit of measure:

  • 1: Square feet
  • 2: Square metres

Total floor area of building:
OR

  • 1: Do not know

20. On December 31st, 2019, what was the total floor area of the reported unit?

For size of the reported unit, you can refer to the Building Occupancy Permit, fire protection drawings, or architectural drawing. The total floor area may be larger than the Gross Leasable Area (GLA).

Include floor area of all enclosed commercial, residential, and industrial floors, mechanical rooms, common areas, basements, and annexes, and other temporary areas within the reported unit, if applicable.

Exclude floor area associated with any indoor parking, partially enclosed parking, or portable structures.

When precise figures are not available, please provide your best estimate.

Unit of measure:

  • 1: Square feet
  • 2: Square metres

Total floor area of reported unit:
OR

  • 1: Do not know

21. On December 31st, 2019, which of the following activities or functions occurred in this building?

Select all that apply.

  • 1: Bank branch
    Exclude ATM-only bank branches.
  • 2: Courthouse
    Include courtrooms, holding facilities and associated administrative spaces.
  • 3: Police station
    Include associated administrative space.
  • 4: Fire station
  • 5: Assisted daily care facility or residential care facility
    Exclude independent living retirement communities.
  • 6: Hotel, motel, hostel, or lodge
    Exclude condominiums or private residences rented out, vacation timeshares, residence halls for educational purposes, and barracks.
  • 7: Preschool or daycare
    Exclude private in-home services.
  • 8: Primary or secondary school
  • 9: Restaurant
    Exclude bars and nightclubs with only beverage sales, food trucks, and food delivery services.
  • 10: Food and beverage store
    Include grocery stores, pharmacies, convenience stores and alcoholic beverage stores.
  • 11: Retail store (non-food)
  • 12: Office space (medical)
  • 13: Office space (excluding medical)
  • 14: Recreation centre
  • 15: Ice rink
  • 16: Performing arts
  • 17: Cinema
  • 18: Place or worship
  • 19: Museum or gallery
  • 20: Library or archives
  • 21: Warehouse
  • 22: Vehicle dealership, repair, or storage
  • 23: Industrial
  • 24: Agricultural
  • 25: Residential
    Include occupied and vacant residential space.
  • 26: Vacant
    Include vacant commercial, institutional, and organizational space.
  • 27: Other
    • Specify other activity or function 1:
    • Specify other activity or function 2:
    • Specify other activity or function 3:
    • Specify other activity or function 4:
    • Specify other activity or function 5:
    • Specify other activity or function 6:
    • Specify other activity or function 7:
    • Specify other activity or function 8:
    • Specify other activity or function 9:
    • Specify other activity or function 10:

22. On December 31st, 2019, what was the percentage of floor space used for the following activities or functions in this building?

Provide your best estimate rounded to the nearest percentage.

  • Bank branch
    Exclude ATM-only bank branches.
    Percentage of floor area:
  • Courthouse
    Include courtrooms, holding facilities and associated administrative spaces.
    Percentage of floor area:
  • Police station
    Include associated administrative space.
    Percentage of floor area:
  • Fire station
    Percentage of floor area:
  • Assisted daily care facility or residential care facility
    Exclude independent living retirement communities.
    Percentage of floor area:
  • Hotel, motel, hostel, or lodge
    Exclude condominiums or private residences rented out, vacation timeshares, residence halls for educational purposes, and barracks.
    Percentage of floor area:
  • Preschool or daycare
    Exclude private in-home services.
    Percentage of floor area:
  • Primary or secondary school
    Percentage of floor area:
  • Restaurant
    Exclude bars and nightclubs with only beverage sales, food trucks, and food delivery services.
    Percentage of floor area:
  • Food and beverage store
    Include grocery stores, pharmacies, convenience stores and alcoholic beverage stores.
    Percentage of floor area:
  • Retail store (non-food)
    Percentage of floor area:
  • Office space (medical)
    Percentage of floor area:
  • Office space (excluding medical)
    Percentage of floor area:
  • Recreation centre
    Percentage of floor area:
  • Ice rink
    Percentage of floor area:
  • Performing arts
    Percentage of floor area:
  • Cinema
    Percentage of floor area:
  • Place or worship
    Percentage of floor area:
  • Museum or gallery
    Percentage of floor area:
  • Library or archives
    Percentage of floor area:
  • Warehouse
    Percentage of floor area:
  • Vehicle dealership, repair, or storage
    Percentage of floor area:
  • Industrial
    Percentage of floor area:
  • Agricultural
    Percentage of floor area:
  • Residential
    Include occupied and vacant residential space.
    Percentage of floor area:
  • Vacant
    Include vacant commercial, institutional, and organizational space.
    Percentage of floor area:
  • Other activity or function 1
    Percentage of floor area:
  • Other activity or function 2
    Percentage of floor area:
  • Other activity or function 3
    Percentage of floor area:
  • Other activity or function 4
    Percentage of floor area:
  • Other activity or function 5
    Percentage of floor area:
  • Other activity or function 6
    Percentage of floor area:
  • Other activity or function 7
    Percentage of floor area:
  • Other activity or function 8
    Percentage of floor area:
  • Other activity or function 9
    Percentage of floor area:
  • Other activity or function 10
    Percentage of floor area:

23. On December 31st, 2019, which of the following activities or functions occurred in the reported unit?

Provide your best estimate rounded to the nearest percentage.

  • 1: Bank branch
    Exclude ATM-only bank branches.
  • 2: Courthouse
    Include courtrooms, holding facilities and associated administrative spaces.
  • 3: Police station
    Include associated administrative space.
  • 4: Fire station
  • 5: Assisted daily care facility or residential care facility
    Exclude independent living retirement communities.
  • 6: Hotel, motel, hostel, or lodge
    Exclude condominiums or private residences rented out, vacation timeshares, residence halls for educational purposes, and barracks.
  • 7: Preschool or daycare
    Exclude private in-home services.
  • 8: Primary or secondary school
  • 9: Restaurant
    Exclude bars and nightclubs with only beverage sales, food trucks, and food delivery services.
  • 10: Food and beverage store
    Include grocery stores, pharmacies, convenience stores and alcoholic beverage stores.
  • 11: Retail store (non-food)
  • 12: Office space (medical)
  • 13: Office space (excluding medical)
  • 14: Recreation centre
  • 15: Ice rink
  • 16: Performing arts
  • 17: Cinema
  • 18: Place or worship
  • 19: Museum or gallery
  • 20: Library or archives
  • 21: Warehouse
  • 22: Vehicle dealership, repair, or storage
  • 23: Industrial
  • 24: Agricultural
  • 25: Residential
    Include occupied and vacant residential space.
  • 26: Vacant
    Include vacant commercial, institutional, and organizational space.
  • 27: Other
    • Specify other activity or function 1:
    • Specify other activity or function 2:
    • Specify other activity or function 3:
    • Specify other activity or function 4:
    • Specify other activity or function 5:
    • Specify other activity or function 6:
    • Specify other activity or function 7:
    • Specify other activity or function 8:
    • Specify other activity or function 9:
    • Specify other activity or function 10:

24. On December 31st, 2019, what was the percentage of floor space used for the following activities or functions in the reported unit?

Select all that apply.

  • Bank branch
    Exclude ATM-only bank branches.
    Percentage of floor area:
  • Courthouse
    Include courtrooms, holding facilities and associated administrative spaces.
    Percentage of floor area:
  • Police station
    Include associated administrative space.
    Percentage of floor area:
  • Fire station
    Percentage of floor area:
  • Assisted daily care facility or residential care facility
    Exclude independent living retirement communities.
    Percentage of floor area:
  • Hotel, motel, hostel, or lodge
    Exclude condominiums or private residences rented out, vacation timeshares, residence halls for educational purposes, and barracks.
    Percentage of floor area:
  • Preschool or daycare
    Exclude private in-home services.
    Percentage of floor area:
  • Primary or secondary school
    Percentage of floor area:
  • Restaurant
    Exclude bars and nightclubs with only beverage sales, food trucks, and food delivery services.
    Percentage of floor area:
  • Food and beverage store
    Include grocery stores, pharmacies, convenience stores and alcoholic beverage stores.
    Percentage of floor area:
  • Retail store (non-food)
    Percentage of floor area:
  • Office space (medical)
    Percentage of floor area:
  • Office space (excluding medical)
    Percentage of floor area:
  • Recreation centre
    Percentage of floor area:
  • Ice rink
    Percentage of floor area:
  • Performing arts
    Percentage of floor area:
  • Cinema
    Percentage of floor area:
  • Place or worship
    Percentage of floor area:
  • Museum or gallery
    Percentage of floor area:
  • Library or archives
    Percentage of floor area:
  • Warehouse
    Percentage of floor area:
  • Vehicle dealership, repair, or storage
    Percentage of floor area:
  • Industrial
    Percentage of floor area:
  • Agricultural
    Percentage of floor area:
  • Residential
    Include occupied and vacant residential space.
    Percentage of floor area:
  • Vacant
    Include vacant commercial, institutional, and organizational space.
    Percentage of floor area:
  • Other activity or function 1
    Percentage of floor area:
  • Other activity or function 2
    Percentage of floor area:
  • Other activity or function 3
    Percentage of floor area:
  • Other activity or function 4
    Percentage of floor area:
  • Other activity or function 5
    Percentage of floor area:
  • Other activity or function 6
    Percentage of floor area:
  • Other activity or function 7
    Percentage of floor area:
  • Other activity or function 8
    Percentage of floor area:
  • Other activity or function 9
    Percentage of floor area:
  • Other activity or function 10
    Percentage of floor area:

Contact information

Note: In the future, a questionnaire will be sent with questions about building characteristics, energy consumption and usage, building modifications, and building type specific questions.

The designated contact person should be the person who is best suited to answer this questionnaire. This person would be someone who is knowledgeable about the energy consumption and usage of this building.

i.e., someone who has access to energy bills and knowledge about the structure and details of this building (e.g., property manager, building manager, facilities manager, building owner).

25. Is this the best person to fill out the questionnaire?

  • 1: Yes
  • 3: No
    Provide the contact information for the designated contact person for the questionnaire below.
    • Company or Organization:
    • First name:
    • Last name:
    • Title:
    • Preferred language:
      • 1: English
      • 2: French
    • Email address:
      Example: user@example.gov.ca
    • Telephone number (including area code):
      Example: 123-123-1234
    • Extension number (if applicable):
    • Mailing address (number and street):
    • City:
    • Province, territory or state:
      • 1: Alberta
      • 2: British Columbia
      • 3: Manitoba
      • 4: New Brunswick
      • 5: Newfoundland and Labrador
      • 6: Northwest Territories
      • 7: Nova Scotia
      • 8: Nunavut
      • 9: Ontario
      • 10: Prince Edward Island
      • 11: Quebec
      • 12: Saskatchewan
      • 13: Yukon
      • 14: Alabama
      • 15: Alaska
      • 16: American Samoa
      • 17: Arizona
      • 18: Arkansas
      • 19: California
      • 20: Colorado
      • 21: Connecticut
      • 22: Delaware
      • 23: District of Columbia
      • 24: Federated States of Micronesia
      • 25: Florida
      • 26: Georgia
      • 27: Guam
      • 28: Hawaii
      • 29: Idaho
      • 30: Illinois
      • 31: Indiana
      • 32: Iowa
      • 33: Kansas
      • 34: Kentucky
      • 35: Louisiana
      • 36: Maine
      • 37: Marshall Islands
      • 38: Maryland
      • 39: Massachusetts
      • 40: Michigan
      • 41: Minnesota
      • 42: Mississippi
      • 43: Missouri
      • 44: Montana
      • 45: Nebraska
      • 46: Nevada
      • 47: New Hampshire
      • 48: New Jersey
      • 49: New Mexico
      • 50: New York
      • 51: North Carolina
      • 52: North Dakota
      • 53: Northern Mariana Islands
      • 54: Ohio
      • 55: Oklahoma
      • 56: Oregon
      • 57: Palau
      • 58: Pennsylvania
      • 59: Puerto Rico
      • 60: Rhode Island
      • 61: South Carolina
      • 62: South Dakota
      • 63: Tennessee
      • 64: Texas
      • 65: U.S. Minor Outlying Islands
      • 66: Utah
      • 67: Vermont
      • 68: Virgin Islands of the U.S.
      • 69: Virginia
      • 70: Washington
      • 71: West Virginia
      • 72: Wisconsin
      • 73: Wyoming
    • Postal code or ZIP code:
      Example: A9A 9A9 or 12345-1234
    • Country:
      • 1: Canada
      • 2: United States
      • 3: Other

Canadian Centre for Energy Information External Advisory Committee meeting - July 30, 2020

Meeting summary: Key points and action items

Participants

Advisory member participants: Andrew Leach, Annette Hester, Allan Fogwill, Bruce Lourie, Brad Griffin, Colleen d'Entremont, Channa Perera, Louis Beaumier, Krista Nelson, Saad Sarfraz, Samantha Morton

Statistics Canada participants: Anil Arora, Daniela Ravindra, Ziad Shadid, Mary Beth Garneau, Jennifer Johnson, Rene Beaudoin, Kristin Daley

Federal observers: Jaylyn Wong (Natural Resources Canada), Nick Macaluso (Environment and Climate Change Canada), Jim Fox (Canada Energy Regulator), Josephine Mulji (Canada Energy Regulator), Karen Morton (Canada Energy Regulator)

Regrets: Ben Brunnen, Ericka Wicks, Sarah Petrevan

Address from the Chief Statistician: Anil Arora

Anil Arora, Canada's Chief Statistician, made opening remarks to the External Advisory Committee (EAC) members, discussed the importance of each member's insight and advice towards support the Canadian Centre for Energy Information (CCEI) achieve its objectives, and thanked them for their time and support in this exciting new initiative.

Terms of reference and committee roles/Deliverables

StatCan presented the responsibilities of the members, the Chairs, and the secretariat and requested any final comments on the Terms of Reference for the Committee before they are finalized.

Feedback provided by committee members

Advisors suggested that it could be useful to create a committee charter that could outline operational processes for the Committee. For example, although it is an advisory body with no decision making authority it would be helpful to know how the committee 'concludes' on advice (e.g. shared advice for consideration or consensus on subjects). There was also a discussion on appointing chair(s) before the next meeting and suggested that the group may wish to consider having more than one chair representing various aspects (regions, etc.), given the multi-stakeholder nature of the committee.

The committee members expressed the importance of trust and transparency, as well as accountability, specifically regarding advice provided by the Committee to the FPT DM Oversight Committee. The committee also indicated that it was important to track advice from the EAC and to report on actions taken from the recommendations that they provide, including reasons for not acting on specific advice. Consideration could be made to arrange to have a once a year intersection between the EAC and the FPT DM body for info sharing and trust building.

The committee appreciated the intent and goals of the CCEI and the fact that incoherent and scattered energy information is currently a problem that needs to be addressed in Canada. They reaffirmed their support for the CCEI to address a huge problem that has been around for a long time – but that this would be a long and challenging process. One advisor noted that more money would be needed to address all the data gaps and data quality issues comparing the CCEI's budget was minimal in comparison to our counterparts in the U.S..

Members felt it was important to have an in camera discussion to work out internal details, for example, how they will put positions forward and exert influence as an advisory body instead of as individuals. The Canadian Statistics Advisory Council (CSAC) representative of the Advisory Committee will also then report back to the Council in camera.

Action items

  • StatCan will work with Natural Resources Canada to identify Chairs for the EAC before the next meeting.
  • An interim in-camera committee meeting will be scheduled in late August/early September to discuss housekeeping items, including developing a committee charter.
  • StatCan will publish the Terms of Reference, members list, and meeting summaries on the StatCan and CCEI websites.
  • StatsCan committed to re-sharing the documents on committees and their members with EAC members.

Engagement and communications strategies

StatCan provided an overview of the communications and engagement strategy for the CCEI.

Feedback provided by committee members

It was recommended that we look at earned media, in particular to understand uptake of the CCEI in the regions. Communications materials could be designed to facilitate further distribution. For example, short videos could be used for VLOGS. Members were curious to know if these sorts of communication activities could be tracked.

The committee advised StatCan to ensure information is accessible on the CCEI website to serve the general public that have much less knowledge about energy data. It is crucial to provide context and a narrative for the general public as well. One tool that advisors recommended the program consider was to explore the use of short videos (i.e .youtube) as an engagement tool – particularly for 'non-traditional' data users.

Advisors were interested in knowing more about the virtual engagement sessions with stakeholders and what their role would be.

One advisor cautioned to balance the allocation of resources related to "public engagement", suggesting that about 80 percent of resources be allocated to all of the technical and management aspects of data gathering and analysis and no more than 20 percent be dedicated to communication and public engagement. CCEI will likely be used primarily by a small portion of users, as such, resources need to ensure that the core users' needs are prioritized by focus on data priorities and gaps.

Action items

  • StatCan will provide an update on communications plans and media monitoring at all future EAC meetings as a standing item.
  • StatCan will reach out to members when setting up engagement sessions and workshops to seek input on which stakeholders could contribute to the specific topic/issue.
  • Program to follow-up with Communications to explore how videos could be leveraged as additional tools to engage with the public on CCEI.

CCEI priorities

The committee supported the proposed prioritization criteria that considers the impact (stakeholder demand, policy relevance), cost (maximize past investments and partnerships), lead time (make meaningful gains over time), and feasibility.

The advisors provided feedback on priority areas ahead of the meeting which was summarized and reflected in the deck presented at the July 30th meeting. In addition, Statistics Canada provided a list of known longstanding data gaps based on input provided in advance.

Advisors advised that the list of priorities and data gaps were generally well reflected but collectively a significant list – and that prioritization and focus on areas of greatest impact/important was critical to success. Committee members recognized 'CCEI can't do it all' and that limited resources needed to be allocated in a manner that addressed areas of greatest priority.

Other key messages that emerged were the need for policy neutrality, language neutrality need to focus early efforts on foundational pieces such as data definitions and standards.

The committee raised some concerns with the way the priorities are grouped. One committee member advised against a policy-centric approach to data, highlighting that users or stakeholders may not trust the information if they do not agree with the policy. Further to this, if there is a change in Government, longevity will not be supported. There was a particular emphasis on the need for the CCEI to by Policy Neutral to ensure long-term sustainability and credibility of the program.

There also was some discussion on the choice of language used and the importance for neutral language/terms and clear definitions. For example, a committee member expressed concerns regarding the term “clean” as it could cause some challenges in perception (e.g. Clean Energy that addresses GHGs but not another environmental aspect such as water pollution may not necessarily be readily accepted as 'clean' by all stakeholders). Another member indicated that there needs to be consistency between the language we use and common usage to reach a broader audience.

One advisor suggested an approach to look at overall energy services as part of energy transition rather than by source of energy. Another member noted that, home heating comes from a variety of energy sources including wood. As such, wood should be included in GHG emissions as well but noted the difficulty in trying to track the GHG emissions of wood. Discussion and subsequent written comments from members indicated that definitions would be a continuous challenge – as committee members themselves didn't necessarily agree with how words such as 'clean' or 'decarbonization' were being used during the discussion. The committee reaffirmed the need for CCEI to focus on foundational elements such as data definitions and standards early on with all stakeholders to achieve commonly accepted terms.

Advisors indicated that if possible, it would be helpful to track First Nation participation in the supply chain for the energy sector. It would be wonderful to have access to the value First Nations are contributing to the supply chain for traditional and “clean” energy sector.

The committee noted that more information is needed to understand capacity available from both the public and private sectors. Advisors also indicated that there needs to be clear and concise information available to the public, to better understand the interconnectedness of data such as, electricity and energy use vs consumption and price.

The committee noted the usefulness of including maps and provided some concrete examples to look at. They also suggested the CCEI include comparisons to other countries. For example, it would be helpful to have comparable environmental performance metrics for Canadian production versus other countries.

As there are so many priorities, it is important to identify what pieces are foundational and which pieces should be the primary focus. A list of relative gaps would be helpful to contextualize these gaps to help see the big picture.

One advisor asked if CCEI could include data collection that helps support the Expert Panel on Sustainable Finance recommendations, in partnership with the Institute for Sustainable Finance. Some examples are: financial data on capital flows for different energy types (i.e. capital investments in oil, hydrogen, wind, gas, etc.); data on expenditures on building retrofits; and data on dollars per kwh saved in retrofit investments.

Additional comments included and insights included:

  • Ensuring quality data and comprehensive data – not just addressing gaps
  • Obtaining insights on adoption of new technology and market share of 'clean' tech (cognizant that 'clean' was not a clearly defined or agreed upon term)
  • Improved data on 'induced' jobs in the energy space – where data gaps led to double counting
  • Improved data on representation/diversity, particularly at the management, executive and Board levels where there is currently limited information
  • Electric use on a real-time basis – by leveraging existing data sets and integrating them
  • Concepts regarding co-mingling prices within and across regions for a better understanding of facts (e.g. prices in the Maritimes for consumption of electricity vs. natural gas – and linkages to the time of year)
  • Insights on price differentials – with analysis to reflect variances driven by taxes and regulatory costs.
  • A better understanding of imports into Canada for energy related products – as we tend to focus more on exports.
  • Importance to establish a common framework related to ESG that is widely accepted and tracked against – cautioning that this was a challenging subject and that development would be tricky due to policy implications and need to consult widely/broadly with various stakeholders.

Action items

  • StatCan will incorporate additional data gaps identified by committee members into the data gaps list before finalizing.
  • StatCan will present and share updated data gap list reflecting input from committee to foster a discussion related to early priority setting with the federal, provincial and territorial partners through the DM level CCEI Oversight Committee.

Conclusion and next steps

StatCan thanked the Committee members for their continued support and participation noting that this is just the beginning of an ongoing dialogue.